diff --git a/inst/htmlwidgets/js/src/dist/cjs/index.js.map b/inst/htmlwidgets/js/src/dist/cjs/index.js.map index 8fabd30e..4ffca7e0 100644 --- a/inst/htmlwidgets/js/src/dist/cjs/index.js.map +++ b/inst/htmlwidgets/js/src/dist/cjs/index.js.map @@ -1 +1 @@ -{"version":3,"file":"index.js","sources":["../../node_modules/core-js/index.js","../../node_modules/regenerator-runtime/runtime.js","../../scripts/config.js","../../scripts/utils.js","../../scripts/layout.js","../../scripts/custom-animations.js","../../scripts/hack-facet-view.js","../../scripts/app.js"],"sourcesContent":["module.exports = require('./features');\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n function define(obj, key, value) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n return obj[key];\n }\n try {\n // IE 8 has a broken Object.defineProperty that only works on DOM objects.\n define({}, \"\");\n } catch (err) {\n define = function(obj, key, value) {\n return obj[key] = value;\n };\n }\n\n function wrap(innerFn, outerFn, self, tryLocsList) {\n // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n var generator = Object.create(protoGenerator.prototype);\n var context = new Context(tryLocsList || []);\n\n // The ._invoke method unifies the implementations of the .next,\n // .throw, and .return methods.\n generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n return generator;\n }\n exports.wrap = wrap;\n\n // Try/catch helper to minimize deoptimizations. Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config\";\nimport { lookupByBucket } from \"./utils\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config\";\nimport { getGridSpec } from \"./layout\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\nimport { getSelectors, splitLayers, getRows } from \"./utils\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view\";\nimport { getGridSpec, getJitterSpec } from \"./layout\";\nimport { CustomAnimations } from \"./custom-animations\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n if (Array.isArray(vlSpec)) continue; // just sanity check, making sure that it is not an array\n\n // if filter has empty `oneOf`, then generate empty spec and avoid any further processing\n if (\n vlSpec.transform &&\n vlSpec.transform[0].filter &&\n vlSpec.transform[0].filter.oneOf &&\n vlSpec.transform[0].filter.oneOf.length === 0\n ) {\n const emptySpec = getEmptySpec(vlSpec);\n\n metas[i] = emptySpec.meta;\n rawSpecs[i] = emptySpec;\n vlSpec = emptySpec;\n vegaLiteSpecs[i] = emptySpec;\n continue;\n }\n\n const meta = vlSpec.meta;\n const parse = meta.parse;\n\n // parsing\n\n if (meta.custom_animation) {\n let funName = meta.custom_animation;\n let p = null;\n\n // handle quantile\n if (\n Array.isArray(meta.custom_animation) &&\n meta.custom_animation[0] === \"quantile\"\n ) {\n p = meta.custom_animation[1];\n funName = \"median\";\n }\n\n let source = {\n ...rawSpecs[i - 1],\n data: rawSpecsImmutable[i - 1].data,\n };\n let target = vlSpec;\n\n if (rawSpecsImmutable[i - 1].facet) {\n source = {\n ...vegaLiteSpecs[i - 1],\n meta: {\n ...vegaLiteSpecs[i - 1].meta,\n hasFacet: true,\n columnFacet: rawSpecsImmutable[i - 1].facet.column,\n rowFacet: rawSpecsImmutable[i - 1].facet.row,\n },\n data: {\n values: vegaLiteSpecs[i - 1].data.values.map((d) => {\n return {\n ...d,\n [CONF.X_FIELD]: d[CONF.X_FIELD + \"_num\"],\n };\n }),\n },\n };\n }\n\n // if custom animations have facets, fake them before passing to CustomAnimation\n if (vegaLiteSpecs[i].facet) {\n const newSpecTarget = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpecTarget;\n target = newSpecTarget;\n }\n\n const fn = CustomAnimations[funName];\n\n if (fn) {\n const sequence = await fn(source, target, vegaLiteSpecs[i - 1], p);\n vegaLiteSpecs[i] = {\n custom: meta.custom_animation,\n sequence,\n };\n }\n } else if (parse === META_PARSE_VALUES.grid) {\n const gridSpec = await getGridSpec(vlSpec, rows);\n\n const enc = gridSpec.spec ? gridSpec.spec.encoding : gridSpec.encoding;\n rawSpecs[i].data.values = gridSpec.data.values;\n\n // update domain for raw spec axis layer\n if (rawSpecs[i].meta.axes && rawSpecs[i].meta.splitField) {\n const encoding = rawSpecs[i].spec\n ? rawSpecs[i].spec.encoding\n : rawSpecs[i].encoding;\n\n encoding.x.axis = enc.x.axis;\n encoding.y.scale = {\n domain: enc.y.scale.domain,\n };\n encoding.x.scale = {\n domain: enc.x.scale.domain,\n };\n }\n\n vegaLiteSpecs[i] = gridSpec;\n } \n else if (parse === META_PARSE_VALUES.jitter) {\n vegaLiteSpecs[i] = await getJitterSpec(vlSpec);\n } \n // since gemini does not support multiple multiple axis transitions, \n // we must split the layers and draw as separate vega spec\n else if (vlSpec.layer || (vlSpec.spec && vlSpec.spec.layer)) {\n const arr = splitLayers(vlSpec);\n\n vegaLiteSpecs[i] = [];\n\n for (let j = 0; j < arr.length; j++) {\n const s = arr[j];\n\n // fake facets\n if (s.facet && s.spec && s.meta.animated) {\n const newSpec = await hackFacet(s);\n vegaLiteSpecs[i].push(newSpec);\n metas[i] = newSpec.meta;\n } else {\n vegaLiteSpecs[i].push(s);\n }\n }\n }\n\n if (vegaLiteSpecs[i]) {\n const facet = vegaLiteSpecs[i].facet;\n const spec = vegaLiteSpecs[i].spec;\n\n // fake facets\n if (facet && spec) {\n const newSpec = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpec;\n }\n }\n }\n\n console.log(\"parsed specs:\", vegaLiteSpecs);\n }\n\n /**\n * Converts vega-lite specs to vega specs using vl2vg4gemini (https://github.com/uwdata/gemini#vl2vg4gemini)\n */\n function toVegaSpecs() {\n vegaSpecs = vegaLiteSpecs.map((d) => {\n if (d.custom) {\n return d;\n }\n\n const s = Array.isArray(d) ? d.find((d) => d.meta.animated) : d;\n return gemini.vl2vg4gemini(s);\n });\n }\n\n /**\n * Generates animation frames\n * @returns array of objects of \\{ source, target, gemSpec, prevMeta, currMeta \\}\n */\n async function makeFrames() {\n const options = {\n stageN: 1,\n\n scales: {\n x: {\n domainDimension: \"diff\",\n },\n y: {\n domainDimension: \"diff\",\n },\n },\n\n marks: {\n marks: {\n change: {\n scale: [\"x\", \"y\"],\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n },\n },\n totalDuration: frameDuration,\n };\n\n for (let i = 1; i < vegaSpecs.length; i++) {\n const prev = vegaSpecs[i - 1];\n const curr = vegaSpecs[i];\n\n const prevMeta = metas[i - 1];\n const currMeta = metas[i];\n\n try {\n let resp = null;\n\n if (curr.custom) {\n resp = await gemini.recommendForSeq(curr.sequence, {\n ...options,\n stageN: curr.sequence.length - 1,\n totalDuration: frameDuration * 2,\n });\n\n const _gemSpec = resp[0].specs.map((d) => d.spec);\n\n // make sure to add gemini_id to data change.\n // gemini recommend does not add it by itself.\n _gemSpec.forEach((d) => {\n if (d.timeline.concat.length) {\n const first = d.timeline.concat[0].sync[0];\n if (first && first.change && first.change.data) {\n first.change.data = {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n };\n }\n }\n });\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n } else {\n resp = await gemini.recommend(\n prev.custom\n ? gemini.vl2vg4gemini(prev.sequence[prev.sequence.length - 1])\n : prev,\n curr,\n options\n );\n\n const _gemSpec = resp[0] ? resp[0].spec : gemSpec;\n const sync = _gemSpec.timeline.concat[0].sync;\n\n if (!sync.some((d) => d.component === \"view\")) {\n sync.push({\n component: \"view\",\n change: {\n signal: [\"width\", \"height\"],\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n });\n }\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n }\n } catch (error) {\n console.error(error);\n }\n }\n }\n\n /**\n * Slider on change callback\n */\n function onSlide() {\n playing = false;\n disableEnable(\"enable\");\n const { slider } = getSelectors(id);\n const index = document.querySelector(slider).value;\n drawSpec(index);\n }\n\n /**\n * Exports png files for each frame\n */\n function exportPNG() {\n const { exportWrap } = getSelectors(id);\n\n const pngs = [];\n\n const callback = (index) => {\n const done = index >= frames.length;\n\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n pngs.push(canvas.toDataURL());\n\n if (done) {\n pngs.forEach((uri, i) => {\n var a = document.createElement(\"a\");\n a.href = uri;\n a.download = `frame-${i + 1}.png`;\n a.click();\n });\n }\n });\n };\n\n play(callback);\n }\n\n /**\n * Exports datamation as gif.\n * @param {Boolean} fromWeb truthy if it is called from webpage, falsy from command line tool\n * @returns either base64 string, or downloads .gif file\n */\n function exportGif(fromWeb) {\n const { exportWrap, exportBtn } = getSelectors(id);\n\n if (fromWeb) {\n loaderOnOff(true);\n disableEnable(\"disable\", { slider: true });\n }\n\n let intervalId,\n images = [];\n\n const startInterval = () => {\n if (intervalId) clearInterval(intervalId);\n\n intervalId = setInterval(() => {\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n images.push(canvas.toDataURL());\n });\n }, 16.66666);\n };\n\n let maxWidth = 300;\n let maxHeight = 300;\n\n return new Promise((res) => {\n const callback = (index) => {\n const done = index >= frames.length;\n const bound = document\n .querySelector(exportWrap)\n .getBoundingClientRect();\n\n if (bound.width > maxWidth) maxWidth = bound.width;\n if (bound.height > maxHeight) maxHeight = bound.height;\n\n if (done) {\n intervalId && clearInterval(intervalId);\n\n setTimeout(() => {\n gifshot.createGIF(\n {\n images,\n gifWidth: maxWidth,\n gifHeight: maxHeight,\n frameDuration: 2.5,\n },\n function (obj) {\n if (fromWeb) {\n loaderOnOff(false);\n disableEnable(\"enable\", { slider: true });\n }\n\n if (!obj.error) {\n var image = obj.image;\n\n if (fromWeb) {\n download(image, \"animation.gif\", \"image/gif\");\n }\n res(image);\n } else {\n console.error(\"error creating gif\", obj.errorMsg);\n }\n }\n );\n }, 1000);\n } else {\n intervalId && clearInterval(intervalId);\n setTimeout(startInterval, frameDelay);\n }\n };\n\n play(callback);\n });\n }\n\n /**\n * Disables or enables some components\n * @param {String} cmd \"disable\" or \"enable\"\n * @param {Array} components array of components\n */\n function disableEnable(cmd, components) {\n const { replayBtn, exportBtn, slider } = getSelectors(id);\n const arr = [replayBtn, exportBtn];\n\n if (components && components.slider) {\n arr.push(slider);\n }\n\n arr.forEach((sel) => {\n const el = document.querySelector(sel);\n\n if (cmd == \"disable\") {\n el.setAttribute(\"disabled\", \"disabled\");\n } else {\n el.removeAttribute(\"disabled\");\n }\n });\n }\n\n /**\n * Download button icon adjustment\n * @param {Boolean} loading\n */\n function loaderOnOff(loading) {\n const { exportBtn } = getSelectors(id);\n let className = \"fas fa-download\";\n\n if (loading) {\n className = \"fas fa-spinner spin\";\n }\n\n d3.select(exportBtn).select(\"i\").attr(\"class\", className);\n }\n\n init();\n\n return {\n onSlide,\n play,\n exportPNG,\n exportGif,\n animateFrame,\n getFrames: () => frames,\n 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\ No newline at end of file +{"version":3,"file":"index.js","sources":["../../node_modules/core-js/index.js","../../node_modules/regenerator-runtime/runtime.js","../../scripts/config.js","../../scripts/utils.js","../../scripts/layout.js","../../scripts/custom-animations.js","../../scripts/hack-facet-view.js","../../scripts/app.js"],"sourcesContent":["module.exports = require('./features');\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? 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Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config.js\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config.js\";\nimport { lookupByBucket } from \"./utils.js\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config.js\";\nimport { getGridSpec } from \"./layout.js\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\nimport { getSelectors, splitLayers, getRows } from \"./utils.js\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view.js\";\nimport { getGridSpec, getJitterSpec } from \"./layout.js\";\nimport { CustomAnimations } from \"./custom-animations.js\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n if (Array.isArray(vlSpec)) continue; // just sanity check, making sure that it is not an array\n\n // if filter has empty `oneOf`, then generate empty spec and avoid any further processing\n if (\n vlSpec.transform &&\n vlSpec.transform[0].filter &&\n vlSpec.transform[0].filter.oneOf &&\n vlSpec.transform[0].filter.oneOf.length === 0\n ) {\n const emptySpec = getEmptySpec(vlSpec);\n\n metas[i] = emptySpec.meta;\n rawSpecs[i] = emptySpec;\n vlSpec = emptySpec;\n vegaLiteSpecs[i] = emptySpec;\n continue;\n }\n\n const meta = vlSpec.meta;\n const parse = meta.parse;\n\n // parsing\n\n if (meta.custom_animation) {\n let funName = meta.custom_animation;\n let p = null;\n\n // handle quantile\n if (\n Array.isArray(meta.custom_animation) &&\n meta.custom_animation[0] === \"quantile\"\n ) {\n p = meta.custom_animation[1];\n funName = \"median\";\n }\n\n let source = {\n ...rawSpecs[i - 1],\n data: rawSpecsImmutable[i - 1].data,\n };\n let target = vlSpec;\n\n if (rawSpecsImmutable[i - 1].facet) {\n source = {\n ...vegaLiteSpecs[i - 1],\n meta: {\n ...vegaLiteSpecs[i - 1].meta,\n hasFacet: true,\n columnFacet: rawSpecsImmutable[i - 1].facet.column,\n rowFacet: rawSpecsImmutable[i - 1].facet.row,\n },\n data: {\n values: vegaLiteSpecs[i - 1].data.values.map((d) => {\n return {\n ...d,\n [CONF.X_FIELD]: d[CONF.X_FIELD + \"_num\"],\n };\n }),\n },\n };\n }\n\n // if custom animations have facets, fake them before passing to CustomAnimation\n if (vegaLiteSpecs[i].facet) {\n const newSpecTarget = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpecTarget;\n target = newSpecTarget;\n }\n\n const fn = CustomAnimations[funName];\n\n if (fn) {\n const sequence = await fn(source, target, vegaLiteSpecs[i - 1], p);\n vegaLiteSpecs[i] = {\n custom: meta.custom_animation,\n sequence,\n };\n }\n } else if (parse === META_PARSE_VALUES.grid) {\n const gridSpec = await getGridSpec(vlSpec, rows);\n\n const enc = gridSpec.spec ? gridSpec.spec.encoding : gridSpec.encoding;\n rawSpecs[i].data.values = gridSpec.data.values;\n\n // update domain for raw spec axis layer\n if (rawSpecs[i].meta.axes && rawSpecs[i].meta.splitField) {\n const encoding = rawSpecs[i].spec\n ? rawSpecs[i].spec.encoding\n : rawSpecs[i].encoding;\n\n encoding.x.axis = enc.x.axis;\n encoding.y.scale = {\n domain: enc.y.scale.domain,\n };\n encoding.x.scale = {\n domain: enc.x.scale.domain,\n };\n }\n\n vegaLiteSpecs[i] = gridSpec;\n } \n else if (parse === META_PARSE_VALUES.jitter) {\n vegaLiteSpecs[i] = await getJitterSpec(vlSpec);\n } \n // since gemini does not support multiple multiple axis transitions, \n // we must split the layers and draw as separate vega spec\n else if (vlSpec.layer || (vlSpec.spec && vlSpec.spec.layer)) {\n const arr = splitLayers(vlSpec);\n\n vegaLiteSpecs[i] = [];\n\n for (let j = 0; j < arr.length; j++) {\n const s = arr[j];\n\n // fake facets\n if (s.facet && s.spec && s.meta.animated) {\n const newSpec = await hackFacet(s);\n vegaLiteSpecs[i].push(newSpec);\n metas[i] = newSpec.meta;\n } else {\n vegaLiteSpecs[i].push(s);\n }\n }\n }\n\n if (vegaLiteSpecs[i]) {\n const facet = vegaLiteSpecs[i].facet;\n const spec = vegaLiteSpecs[i].spec;\n\n // fake facets\n if (facet && spec) {\n const newSpec = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpec;\n }\n }\n }\n\n console.log(\"parsed specs:\", vegaLiteSpecs);\n }\n\n /**\n * Converts vega-lite specs to vega specs using vl2vg4gemini (https://github.com/uwdata/gemini#vl2vg4gemini)\n */\n function toVegaSpecs() {\n vegaSpecs = vegaLiteSpecs.map((d) => {\n if (d.custom) {\n return d;\n }\n\n const s = Array.isArray(d) ? d.find((d) => d.meta.animated) : d;\n return gemini.vl2vg4gemini(s);\n });\n }\n\n /**\n * Generates animation frames\n * @returns array of objects of \\{ source, target, gemSpec, prevMeta, currMeta \\}\n */\n async function makeFrames() {\n const options = {\n stageN: 1,\n\n scales: {\n x: {\n domainDimension: \"diff\",\n },\n y: {\n domainDimension: \"diff\",\n },\n },\n\n marks: {\n marks: {\n change: {\n scale: [\"x\", \"y\"],\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n },\n },\n totalDuration: frameDuration,\n };\n\n for (let i = 1; i < vegaSpecs.length; i++) {\n const prev = vegaSpecs[i - 1];\n const curr = vegaSpecs[i];\n\n const prevMeta = metas[i - 1];\n const currMeta = metas[i];\n\n try {\n let resp = null;\n\n if (curr.custom) {\n resp = await gemini.recommendForSeq(curr.sequence, {\n ...options,\n stageN: curr.sequence.length - 1,\n totalDuration: frameDuration * 2,\n });\n\n const _gemSpec = resp[0].specs.map((d) => d.spec);\n\n // make sure to add gemini_id to data change.\n // gemini recommend does not add it by itself.\n _gemSpec.forEach((d) => {\n if (d.timeline.concat.length) {\n const first = d.timeline.concat[0].sync[0];\n if (first && first.change && first.change.data) {\n first.change.data = {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n };\n }\n }\n });\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n } else {\n resp = await gemini.recommend(\n prev.custom\n ? gemini.vl2vg4gemini(prev.sequence[prev.sequence.length - 1])\n : prev,\n curr,\n options\n );\n\n const _gemSpec = resp[0] ? resp[0].spec : gemSpec;\n const sync = _gemSpec.timeline.concat[0].sync;\n\n if (!sync.some((d) => d.component === \"view\")) {\n sync.push({\n component: \"view\",\n change: {\n signal: [\"width\", \"height\"],\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n });\n }\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n }\n } catch (error) {\n console.error(error);\n }\n }\n }\n\n /**\n * Slider on change callback\n */\n function onSlide() {\n playing = false;\n disableEnable(\"enable\");\n const { slider } = getSelectors(id);\n const index = document.querySelector(slider).value;\n drawSpec(index);\n }\n\n /**\n * Exports png files for each frame\n */\n function exportPNG() {\n const { exportWrap } = getSelectors(id);\n\n const pngs = [];\n\n const callback = (index) => {\n const done = index >= frames.length;\n\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n pngs.push(canvas.toDataURL());\n\n if (done) {\n pngs.forEach((uri, i) => {\n var a = document.createElement(\"a\");\n a.href = uri;\n a.download = `frame-${i + 1}.png`;\n a.click();\n });\n }\n });\n };\n\n play(callback);\n }\n\n /**\n * Exports datamation as gif.\n * @param {Boolean} fromWeb truthy if it is called from webpage, falsy from command line tool\n * @returns either base64 string, or downloads .gif file\n */\n function exportGif(fromWeb) {\n const { exportWrap, exportBtn } = getSelectors(id);\n\n if (fromWeb) {\n loaderOnOff(true);\n disableEnable(\"disable\", { slider: true });\n }\n\n let intervalId,\n images = [];\n\n const startInterval = () => {\n if (intervalId) clearInterval(intervalId);\n\n intervalId = setInterval(() => {\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n images.push(canvas.toDataURL());\n });\n }, 16.66666);\n };\n\n let maxWidth = 300;\n let maxHeight = 300;\n\n return new Promise((res) => {\n const callback = (index) => {\n const done = index >= frames.length;\n const bound = document\n .querySelector(exportWrap)\n .getBoundingClientRect();\n\n if (bound.width > maxWidth) maxWidth = bound.width;\n if (bound.height > maxHeight) maxHeight = bound.height;\n\n if (done) {\n intervalId && clearInterval(intervalId);\n\n setTimeout(() => {\n gifshot.createGIF(\n {\n images,\n gifWidth: maxWidth,\n gifHeight: maxHeight,\n frameDuration: 2.5,\n },\n function (obj) {\n if (fromWeb) {\n loaderOnOff(false);\n disableEnable(\"enable\", { slider: true });\n }\n\n if (!obj.error) {\n var image = obj.image;\n\n if (fromWeb) {\n download(image, \"animation.gif\", \"image/gif\");\n }\n res(image);\n } else {\n console.error(\"error creating gif\", obj.errorMsg);\n }\n }\n );\n }, 1000);\n } else {\n intervalId && clearInterval(intervalId);\n setTimeout(startInterval, frameDelay);\n }\n };\n\n play(callback);\n });\n }\n\n /**\n * Disables or enables some components\n * @param {String} cmd \"disable\" or \"enable\"\n * @param {Array} components array of components\n */\n function disableEnable(cmd, components) {\n const { replayBtn, exportBtn, slider } = getSelectors(id);\n const arr = [replayBtn, exportBtn];\n\n if (components && components.slider) {\n arr.push(slider);\n }\n\n arr.forEach((sel) => {\n const el = document.querySelector(sel);\n\n if (cmd == \"disable\") {\n el.setAttribute(\"disabled\", \"disabled\");\n } else {\n el.removeAttribute(\"disabled\");\n }\n });\n }\n\n /**\n * Download button icon adjustment\n * @param {Boolean} loading\n */\n function loaderOnOff(loading) {\n const { exportBtn } = getSelectors(id);\n let className = \"fas fa-download\";\n\n if (loading) {\n className = \"fas fa-spinner spin\";\n }\n\n d3.select(exportBtn).select(\"i\").attr(\"class\", className);\n }\n\n init();\n\n return {\n onSlide,\n play,\n exportPNG,\n exportGif,\n animateFrame,\n getFrames: () => frames,\n 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\ No newline at end of file diff --git a/inst/htmlwidgets/js/src/dist/datamations.min.js.map b/inst/htmlwidgets/js/src/dist/datamations.min.js.map index 7838ce17..e5cb0a76 100644 --- a/inst/htmlwidgets/js/src/dist/datamations.min.js.map +++ b/inst/htmlwidgets/js/src/dist/datamations.min.js.map @@ -1 +1 @@ -{"version":3,"file":"datamations.min.js","sources":["../node_modules/regenerator-runtime/runtime.js","../scripts/config.js","../scripts/utils.js","../scripts/layout.js","../scripts/custom-animations.js","../scripts/hack-facet-view.js","../scripts/app.js"],"sourcesContent":["/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? 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Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config\";\nimport { lookupByBucket } from \"./utils\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config\";\nimport { getGridSpec } from \"./layout\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\nimport { getSelectors, splitLayers, getRows } from \"./utils\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view\";\nimport { getGridSpec, getJitterSpec } from \"./layout\";\nimport { CustomAnimations } from \"./custom-animations\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n if (Array.isArray(vlSpec)) continue; // just sanity check, making sure that it is not an array\n\n // if filter has empty `oneOf`, then generate empty spec and avoid any further processing\n if (\n vlSpec.transform &&\n vlSpec.transform[0].filter &&\n vlSpec.transform[0].filter.oneOf &&\n vlSpec.transform[0].filter.oneOf.length === 0\n ) {\n const emptySpec = getEmptySpec(vlSpec);\n\n metas[i] = emptySpec.meta;\n rawSpecs[i] = emptySpec;\n vlSpec = emptySpec;\n vegaLiteSpecs[i] = emptySpec;\n continue;\n }\n\n const meta = vlSpec.meta;\n const parse = meta.parse;\n\n // parsing\n\n if (meta.custom_animation) {\n let funName = meta.custom_animation;\n let p = null;\n\n // handle quantile\n if (\n Array.isArray(meta.custom_animation) &&\n meta.custom_animation[0] === \"quantile\"\n ) {\n p = meta.custom_animation[1];\n funName = \"median\";\n }\n\n let source = {\n ...rawSpecs[i - 1],\n data: rawSpecsImmutable[i - 1].data,\n };\n let target = vlSpec;\n\n if (rawSpecsImmutable[i - 1].facet) {\n source = {\n ...vegaLiteSpecs[i - 1],\n meta: {\n ...vegaLiteSpecs[i - 1].meta,\n hasFacet: true,\n columnFacet: rawSpecsImmutable[i - 1].facet.column,\n rowFacet: rawSpecsImmutable[i - 1].facet.row,\n },\n data: {\n values: vegaLiteSpecs[i - 1].data.values.map((d) => {\n return {\n ...d,\n [CONF.X_FIELD]: d[CONF.X_FIELD + \"_num\"],\n };\n }),\n },\n };\n }\n\n // if custom animations have facets, fake them before passing to CustomAnimation\n if (vegaLiteSpecs[i].facet) {\n const newSpecTarget = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpecTarget;\n target = newSpecTarget;\n }\n\n const fn = CustomAnimations[funName];\n\n if (fn) {\n const sequence = await fn(source, target, vegaLiteSpecs[i - 1], p);\n vegaLiteSpecs[i] = {\n custom: meta.custom_animation,\n sequence,\n };\n }\n } else if (parse === META_PARSE_VALUES.grid) {\n const gridSpec = await getGridSpec(vlSpec, rows);\n\n const enc = gridSpec.spec ? gridSpec.spec.encoding : gridSpec.encoding;\n rawSpecs[i].data.values = gridSpec.data.values;\n\n // update domain for raw spec axis layer\n if (rawSpecs[i].meta.axes && rawSpecs[i].meta.splitField) {\n const encoding = rawSpecs[i].spec\n ? rawSpecs[i].spec.encoding\n : rawSpecs[i].encoding;\n\n encoding.x.axis = enc.x.axis;\n encoding.y.scale = {\n domain: enc.y.scale.domain,\n };\n encoding.x.scale = {\n domain: enc.x.scale.domain,\n };\n }\n\n vegaLiteSpecs[i] = gridSpec;\n } \n else if (parse === META_PARSE_VALUES.jitter) {\n vegaLiteSpecs[i] = await getJitterSpec(vlSpec);\n } \n // since gemini does not support multiple multiple axis transitions, \n // we must split the layers and draw as separate vega spec\n else if (vlSpec.layer || (vlSpec.spec && vlSpec.spec.layer)) {\n const arr = splitLayers(vlSpec);\n\n vegaLiteSpecs[i] = [];\n\n for (let j = 0; j < arr.length; j++) {\n const s = arr[j];\n\n // fake facets\n if (s.facet && s.spec && s.meta.animated) {\n const newSpec = await hackFacet(s);\n vegaLiteSpecs[i].push(newSpec);\n metas[i] = newSpec.meta;\n } else {\n vegaLiteSpecs[i].push(s);\n }\n }\n }\n\n if (vegaLiteSpecs[i]) {\n const facet = vegaLiteSpecs[i].facet;\n const spec = vegaLiteSpecs[i].spec;\n\n // fake facets\n if (facet && spec) {\n const newSpec = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpec;\n }\n }\n }\n\n console.log(\"parsed specs:\", vegaLiteSpecs);\n }\n\n /**\n * Converts vega-lite specs to vega specs using vl2vg4gemini (https://github.com/uwdata/gemini#vl2vg4gemini)\n */\n function toVegaSpecs() {\n vegaSpecs = vegaLiteSpecs.map((d) => {\n if (d.custom) {\n return d;\n }\n\n const s = Array.isArray(d) ? d.find((d) => d.meta.animated) : d;\n return gemini.vl2vg4gemini(s);\n });\n }\n\n /**\n * Generates animation frames\n * @returns array of objects of \\{ source, target, gemSpec, prevMeta, currMeta \\}\n */\n async function makeFrames() {\n const options = {\n stageN: 1,\n\n scales: {\n x: {\n domainDimension: \"diff\",\n },\n y: {\n domainDimension: \"diff\",\n },\n },\n\n marks: {\n marks: {\n change: {\n scale: [\"x\", \"y\"],\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n },\n },\n totalDuration: frameDuration,\n };\n\n for (let i = 1; i < vegaSpecs.length; i++) {\n const prev = vegaSpecs[i - 1];\n const curr = vegaSpecs[i];\n\n const prevMeta = metas[i - 1];\n const currMeta = metas[i];\n\n try {\n let resp = null;\n\n if (curr.custom) {\n resp = await gemini.recommendForSeq(curr.sequence, {\n ...options,\n stageN: curr.sequence.length - 1,\n totalDuration: frameDuration * 2,\n });\n\n const _gemSpec = resp[0].specs.map((d) => d.spec);\n\n // make sure to add gemini_id to data change.\n // gemini recommend does not add it by itself.\n _gemSpec.forEach((d) => {\n if (d.timeline.concat.length) {\n const first = d.timeline.concat[0].sync[0];\n if (first && first.change && first.change.data) {\n first.change.data = {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n };\n }\n }\n });\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n } else {\n resp = await gemini.recommend(\n prev.custom\n ? gemini.vl2vg4gemini(prev.sequence[prev.sequence.length - 1])\n : prev,\n curr,\n options\n );\n\n const _gemSpec = resp[0] ? resp[0].spec : gemSpec;\n const sync = _gemSpec.timeline.concat[0].sync;\n\n if (!sync.some((d) => d.component === \"view\")) {\n sync.push({\n component: \"view\",\n change: {\n signal: [\"width\", \"height\"],\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n });\n }\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n }\n } catch (error) {\n console.error(error);\n }\n }\n }\n\n /**\n * Slider on change callback\n */\n function onSlide() {\n playing = false;\n disableEnable(\"enable\");\n const { slider } = getSelectors(id);\n const index = document.querySelector(slider).value;\n drawSpec(index);\n }\n\n /**\n * Exports png files for each frame\n */\n function exportPNG() {\n const { exportWrap } = getSelectors(id);\n\n const pngs = [];\n\n const callback = (index) => {\n const done = index >= frames.length;\n\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n pngs.push(canvas.toDataURL());\n\n if (done) {\n pngs.forEach((uri, i) => {\n var a = document.createElement(\"a\");\n a.href = uri;\n a.download = `frame-${i + 1}.png`;\n a.click();\n });\n }\n });\n };\n\n play(callback);\n }\n\n /**\n * Exports datamation as gif.\n * @param {Boolean} fromWeb truthy if it is called from webpage, falsy from command line tool\n * @returns either base64 string, or downloads .gif file\n */\n function exportGif(fromWeb) {\n const { exportWrap, exportBtn } = getSelectors(id);\n\n if (fromWeb) {\n loaderOnOff(true);\n disableEnable(\"disable\", { slider: true });\n }\n\n let intervalId,\n images = [];\n\n const startInterval = () => {\n if (intervalId) clearInterval(intervalId);\n\n intervalId = setInterval(() => {\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n images.push(canvas.toDataURL());\n });\n }, 16.66666);\n };\n\n let maxWidth = 300;\n let maxHeight = 300;\n\n return new Promise((res) => {\n const callback = (index) => {\n const done = index >= frames.length;\n const bound = document\n .querySelector(exportWrap)\n .getBoundingClientRect();\n\n if (bound.width > maxWidth) maxWidth = bound.width;\n if (bound.height > maxHeight) maxHeight = bound.height;\n\n if (done) {\n intervalId && clearInterval(intervalId);\n\n setTimeout(() => {\n gifshot.createGIF(\n {\n images,\n gifWidth: maxWidth,\n gifHeight: maxHeight,\n frameDuration: 2.5,\n },\n function (obj) {\n if (fromWeb) {\n loaderOnOff(false);\n disableEnable(\"enable\", { slider: true });\n }\n\n if (!obj.error) {\n var image = obj.image;\n\n if (fromWeb) {\n download(image, \"animation.gif\", \"image/gif\");\n }\n res(image);\n } else {\n console.error(\"error creating gif\", obj.errorMsg);\n }\n }\n );\n }, 1000);\n } else {\n intervalId && clearInterval(intervalId);\n setTimeout(startInterval, frameDelay);\n }\n };\n\n play(callback);\n });\n }\n\n /**\n * Disables or enables some components\n * @param {String} cmd \"disable\" or \"enable\"\n * @param {Array} components array of components\n */\n function disableEnable(cmd, components) {\n const { replayBtn, exportBtn, slider } = getSelectors(id);\n const arr = [replayBtn, exportBtn];\n\n if (components && components.slider) {\n arr.push(slider);\n }\n\n arr.forEach((sel) => {\n const el = document.querySelector(sel);\n\n if (cmd == \"disable\") {\n el.setAttribute(\"disabled\", \"disabled\");\n } else {\n el.removeAttribute(\"disabled\");\n }\n });\n }\n\n /**\n * Download button icon adjustment\n * @param {Boolean} loading\n */\n function loaderOnOff(loading) {\n const { exportBtn } = getSelectors(id);\n let className = \"fas fa-download\";\n\n if (loading) {\n className = \"fas fa-spinner spin\";\n }\n\n d3.select(exportBtn).select(\"i\").attr(\"class\", className);\n }\n\n init();\n\n return {\n onSlide,\n play,\n exportPNG,\n exportGif,\n animateFrame,\n getFrames: () => frames,\n 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\ No newline at end of file +{"version":3,"file":"datamations.min.js","sources":["../node_modules/regenerator-runtime/runtime.js","../scripts/config.js","../scripts/utils.js","../scripts/layout.js","../scripts/custom-animations.js","../scripts/hack-facet-view.js","../scripts/app.js"],"sourcesContent":["/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n function define(obj, key, value) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n return obj[key];\n }\n try {\n // IE 8 has a broken Object.defineProperty that only works on DOM objects.\n define({}, \"\");\n } catch (err) {\n define = function(obj, key, value) {\n return obj[key] = value;\n };\n }\n\n function wrap(innerFn, outerFn, self, tryLocsList) {\n // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n var generator = Object.create(protoGenerator.prototype);\n var context = new Context(tryLocsList || []);\n\n // The ._invoke method unifies the implementations of the .next,\n // .throw, and .return methods.\n generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n return generator;\n }\n exports.wrap = wrap;\n\n // Try/catch helper to minimize deoptimizations. Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config.js\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config.js\";\nimport { lookupByBucket } from \"./utils.js\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config.js\";\nimport { getGridSpec } from \"./layout.js\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\nimport { getSelectors, splitLayers, getRows } from \"./utils.js\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view.js\";\nimport { getGridSpec, getJitterSpec } from \"./layout.js\";\nimport { CustomAnimations } from \"./custom-animations.js\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n 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\ No newline at end of file diff --git a/inst/htmlwidgets/js/src/dist/esm/index.js.map b/inst/htmlwidgets/js/src/dist/esm/index.js.map index 69d1ea0a..20ecf3f0 100644 --- a/inst/htmlwidgets/js/src/dist/esm/index.js.map +++ b/inst/htmlwidgets/js/src/dist/esm/index.js.map @@ -1 +1 @@ -{"version":3,"file":"index.js","sources":["../../node_modules/core-js/index.js","../../node_modules/regenerator-runtime/runtime.js","../../scripts/config.js","../../scripts/utils.js","../../scripts/layout.js","../../scripts/custom-animations.js","../../scripts/hack-facet-view.js","../../scripts/app.js"],"sourcesContent":["module.exports = require('./features');\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? Symbol : {};\n var iteratorSymbol = $Symbol.iterator || \"@@iterator\";\n var asyncIteratorSymbol = $Symbol.asyncIterator || \"@@asyncIterator\";\n var toStringTagSymbol = $Symbol.toStringTag || \"@@toStringTag\";\n\n function define(obj, key, value) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n return obj[key];\n }\n try {\n // IE 8 has a broken Object.defineProperty that only works on DOM objects.\n define({}, \"\");\n } catch (err) {\n define = function(obj, key, value) {\n return obj[key] = value;\n };\n }\n\n function wrap(innerFn, outerFn, self, tryLocsList) {\n // If outerFn provided and outerFn.prototype is a Generator, then outerFn.prototype instanceof Generator.\n var protoGenerator = outerFn && outerFn.prototype instanceof Generator ? outerFn : Generator;\n var generator = Object.create(protoGenerator.prototype);\n var context = new Context(tryLocsList || []);\n\n // The ._invoke method unifies the implementations of the .next,\n // .throw, and .return methods.\n generator._invoke = makeInvokeMethod(innerFn, self, context);\n\n return generator;\n }\n exports.wrap = wrap;\n\n // Try/catch helper to minimize deoptimizations. Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config\";\nimport { lookupByBucket } from \"./utils\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config\";\nimport { getGridSpec } from \"./layout\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config\";\nimport { getSelectors, splitLayers, getRows } from \"./utils\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view\";\nimport { getGridSpec, getJitterSpec } from \"./layout\";\nimport { CustomAnimations } from \"./custom-animations\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n if (Array.isArray(vlSpec)) continue; // just sanity check, making sure that it is not an array\n\n // if filter has empty `oneOf`, then generate empty spec and avoid any further processing\n if (\n vlSpec.transform &&\n vlSpec.transform[0].filter &&\n vlSpec.transform[0].filter.oneOf &&\n vlSpec.transform[0].filter.oneOf.length === 0\n ) {\n const emptySpec = getEmptySpec(vlSpec);\n\n metas[i] = emptySpec.meta;\n rawSpecs[i] = emptySpec;\n vlSpec = emptySpec;\n vegaLiteSpecs[i] = emptySpec;\n continue;\n }\n\n const meta = vlSpec.meta;\n const parse = meta.parse;\n\n // parsing\n\n if (meta.custom_animation) {\n let funName = meta.custom_animation;\n let p = null;\n\n // handle quantile\n if (\n Array.isArray(meta.custom_animation) &&\n meta.custom_animation[0] === \"quantile\"\n ) {\n p = meta.custom_animation[1];\n funName = \"median\";\n }\n\n let source = {\n ...rawSpecs[i - 1],\n data: rawSpecsImmutable[i - 1].data,\n };\n let target = vlSpec;\n\n if (rawSpecsImmutable[i - 1].facet) {\n source = {\n ...vegaLiteSpecs[i - 1],\n meta: {\n ...vegaLiteSpecs[i - 1].meta,\n hasFacet: true,\n columnFacet: rawSpecsImmutable[i - 1].facet.column,\n rowFacet: rawSpecsImmutable[i - 1].facet.row,\n },\n data: {\n values: vegaLiteSpecs[i - 1].data.values.map((d) => {\n return {\n ...d,\n [CONF.X_FIELD]: d[CONF.X_FIELD + \"_num\"],\n };\n }),\n },\n };\n }\n\n // if custom animations have facets, fake them before passing to CustomAnimation\n if (vegaLiteSpecs[i].facet) {\n const newSpecTarget = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpecTarget;\n target = newSpecTarget;\n }\n\n const fn = CustomAnimations[funName];\n\n if (fn) {\n const sequence = await fn(source, target, vegaLiteSpecs[i - 1], p);\n vegaLiteSpecs[i] = {\n custom: meta.custom_animation,\n sequence,\n };\n }\n } else if (parse === META_PARSE_VALUES.grid) {\n const gridSpec = await getGridSpec(vlSpec, rows);\n\n const enc = gridSpec.spec ? gridSpec.spec.encoding : gridSpec.encoding;\n rawSpecs[i].data.values = gridSpec.data.values;\n\n // update domain for raw spec axis layer\n if (rawSpecs[i].meta.axes && rawSpecs[i].meta.splitField) {\n const encoding = rawSpecs[i].spec\n ? rawSpecs[i].spec.encoding\n : rawSpecs[i].encoding;\n\n encoding.x.axis = enc.x.axis;\n encoding.y.scale = {\n domain: enc.y.scale.domain,\n };\n encoding.x.scale = {\n domain: enc.x.scale.domain,\n };\n }\n\n vegaLiteSpecs[i] = gridSpec;\n } \n else if (parse === META_PARSE_VALUES.jitter) {\n vegaLiteSpecs[i] = await getJitterSpec(vlSpec);\n } \n // since gemini does not support multiple multiple axis transitions, \n // we must split the layers and draw as separate vega spec\n else if (vlSpec.layer || (vlSpec.spec && vlSpec.spec.layer)) {\n const arr = splitLayers(vlSpec);\n\n vegaLiteSpecs[i] = [];\n\n for (let j = 0; j < arr.length; j++) {\n const s = arr[j];\n\n // fake facets\n if (s.facet && s.spec && s.meta.animated) {\n const newSpec = await hackFacet(s);\n vegaLiteSpecs[i].push(newSpec);\n metas[i] = newSpec.meta;\n } else {\n vegaLiteSpecs[i].push(s);\n }\n }\n }\n\n if (vegaLiteSpecs[i]) {\n const facet = vegaLiteSpecs[i].facet;\n const spec = vegaLiteSpecs[i].spec;\n\n // fake facets\n if (facet && spec) {\n const newSpec = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpec;\n }\n }\n }\n\n console.log(\"parsed specs:\", vegaLiteSpecs);\n }\n\n /**\n * Converts vega-lite specs to vega specs using vl2vg4gemini (https://github.com/uwdata/gemini#vl2vg4gemini)\n */\n function toVegaSpecs() {\n vegaSpecs = vegaLiteSpecs.map((d) => {\n if (d.custom) {\n return d;\n }\n\n const s = Array.isArray(d) ? d.find((d) => d.meta.animated) : d;\n return gemini.vl2vg4gemini(s);\n });\n }\n\n /**\n * Generates animation frames\n * @returns array of objects of \\{ source, target, gemSpec, prevMeta, currMeta \\}\n */\n async function makeFrames() {\n const options = {\n stageN: 1,\n\n scales: {\n x: {\n domainDimension: \"diff\",\n },\n y: {\n domainDimension: \"diff\",\n },\n },\n\n marks: {\n marks: {\n change: {\n scale: [\"x\", \"y\"],\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n },\n },\n totalDuration: frameDuration,\n };\n\n for (let i = 1; i < vegaSpecs.length; i++) {\n const prev = vegaSpecs[i - 1];\n const curr = vegaSpecs[i];\n\n const prevMeta = metas[i - 1];\n const currMeta = metas[i];\n\n try {\n let resp = null;\n\n if (curr.custom) {\n resp = await gemini.recommendForSeq(curr.sequence, {\n ...options,\n stageN: curr.sequence.length - 1,\n totalDuration: frameDuration * 2,\n });\n\n const _gemSpec = resp[0].specs.map((d) => d.spec);\n\n // make sure to add gemini_id to data change.\n // gemini recommend does not add it by itself.\n _gemSpec.forEach((d) => {\n if (d.timeline.concat.length) {\n const first = d.timeline.concat[0].sync[0];\n if (first && first.change && first.change.data) {\n first.change.data = {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n };\n }\n }\n });\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n } else {\n resp = await gemini.recommend(\n prev.custom\n ? gemini.vl2vg4gemini(prev.sequence[prev.sequence.length - 1])\n : prev,\n curr,\n options\n );\n\n const _gemSpec = resp[0] ? resp[0].spec : gemSpec;\n const sync = _gemSpec.timeline.concat[0].sync;\n\n if (!sync.some((d) => d.component === \"view\")) {\n sync.push({\n component: \"view\",\n change: {\n signal: [\"width\", \"height\"],\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n });\n }\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n }\n } catch (error) {\n console.error(error);\n }\n }\n }\n\n /**\n * Slider on change callback\n */\n function onSlide() {\n playing = false;\n disableEnable(\"enable\");\n const { slider } = getSelectors(id);\n const index = document.querySelector(slider).value;\n drawSpec(index);\n }\n\n /**\n * Exports png files for each frame\n */\n function exportPNG() {\n const { exportWrap } = getSelectors(id);\n\n const pngs = [];\n\n const callback = (index) => {\n const done = index >= frames.length;\n\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n pngs.push(canvas.toDataURL());\n\n if (done) {\n pngs.forEach((uri, i) => {\n var a = document.createElement(\"a\");\n a.href = uri;\n a.download = `frame-${i + 1}.png`;\n a.click();\n });\n }\n });\n };\n\n play(callback);\n }\n\n /**\n * Exports datamation as gif.\n * @param {Boolean} fromWeb truthy if it is called from webpage, falsy from command line tool\n * @returns either base64 string, or downloads .gif file\n */\n function exportGif(fromWeb) {\n const { exportWrap, exportBtn } = getSelectors(id);\n\n if (fromWeb) {\n loaderOnOff(true);\n disableEnable(\"disable\", { slider: true });\n }\n\n let intervalId,\n images = [];\n\n const startInterval = () => {\n if (intervalId) clearInterval(intervalId);\n\n intervalId = setInterval(() => {\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n images.push(canvas.toDataURL());\n });\n }, 16.66666);\n };\n\n let maxWidth = 300;\n let maxHeight = 300;\n\n return new Promise((res) => {\n const callback = (index) => {\n const done = index >= frames.length;\n const bound = document\n .querySelector(exportWrap)\n .getBoundingClientRect();\n\n if (bound.width > maxWidth) maxWidth = bound.width;\n if (bound.height > maxHeight) maxHeight = bound.height;\n\n if (done) {\n intervalId && clearInterval(intervalId);\n\n setTimeout(() => {\n gifshot.createGIF(\n {\n images,\n gifWidth: maxWidth,\n gifHeight: maxHeight,\n frameDuration: 2.5,\n },\n function (obj) {\n if (fromWeb) {\n loaderOnOff(false);\n disableEnable(\"enable\", { slider: true });\n }\n\n if (!obj.error) {\n var image = obj.image;\n\n if (fromWeb) {\n download(image, \"animation.gif\", \"image/gif\");\n }\n res(image);\n } else {\n console.error(\"error creating gif\", obj.errorMsg);\n }\n }\n );\n }, 1000);\n } else {\n intervalId && clearInterval(intervalId);\n setTimeout(startInterval, frameDelay);\n }\n };\n\n play(callback);\n });\n }\n\n /**\n * Disables or enables some components\n * @param {String} cmd \"disable\" or \"enable\"\n * @param {Array} components array of components\n */\n function disableEnable(cmd, components) {\n const { replayBtn, exportBtn, slider } = getSelectors(id);\n const arr = [replayBtn, exportBtn];\n\n if (components && components.slider) {\n arr.push(slider);\n }\n\n arr.forEach((sel) => {\n const el = document.querySelector(sel);\n\n if (cmd == \"disable\") {\n el.setAttribute(\"disabled\", \"disabled\");\n } else {\n el.removeAttribute(\"disabled\");\n }\n });\n }\n\n /**\n * Download button icon adjustment\n * @param {Boolean} loading\n */\n function loaderOnOff(loading) {\n const { exportBtn } = getSelectors(id);\n let className = \"fas fa-download\";\n\n if (loading) {\n className = \"fas fa-spinner spin\";\n }\n\n d3.select(exportBtn).select(\"i\").attr(\"class\", className);\n }\n\n init();\n\n return {\n onSlide,\n play,\n exportPNG,\n exportGif,\n animateFrame,\n getFrames: () => frames,\n 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\ No newline at end of file +{"version":3,"file":"index.js","sources":["../../node_modules/core-js/index.js","../../node_modules/regenerator-runtime/runtime.js","../../scripts/config.js","../../scripts/utils.js","../../scripts/layout.js","../../scripts/custom-animations.js","../../scripts/hack-facet-view.js","../../scripts/app.js"],"sourcesContent":["module.exports = require('./features');\n","/**\n * Copyright (c) 2014-present, Facebook, Inc.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n */\n\nvar runtime = (function (exports) {\n \"use strict\";\n\n var Op = Object.prototype;\n var hasOwn = Op.hasOwnProperty;\n var undefined; // More compressible than void 0.\n var $Symbol = typeof Symbol === \"function\" ? 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Returns a completion\n // record like context.tryEntries[i].completion. This interface could\n // have been (and was previously) designed to take a closure to be\n // invoked without arguments, but in all the cases we care about we\n // already have an existing method we want to call, so there's no need\n // to create a new function object. We can even get away with assuming\n // the method takes exactly one argument, since that happens to be true\n // in every case, so we don't have to touch the arguments object. The\n // only additional allocation required is the completion record, which\n // has a stable shape and so hopefully should be cheap to allocate.\n function tryCatch(fn, obj, arg) {\n try {\n return { type: \"normal\", arg: fn.call(obj, arg) };\n } catch (err) {\n return { type: \"throw\", arg: err };\n }\n }\n\n var GenStateSuspendedStart = \"suspendedStart\";\n var GenStateSuspendedYield = \"suspendedYield\";\n var GenStateExecuting = \"executing\";\n var GenStateCompleted = \"completed\";\n\n // Returning this object from the innerFn has the same effect as\n // breaking out of the dispatch switch statement.\n var ContinueSentinel = {};\n\n // Dummy constructor functions that we use as the .constructor and\n // .constructor.prototype properties for functions that return Generator\n // objects. For full spec compliance, you may wish to configure your\n // minifier not to mangle the names of these two functions.\n function Generator() {}\n function GeneratorFunction() {}\n function GeneratorFunctionPrototype() {}\n\n // This is a polyfill for %IteratorPrototype% for environments that\n // don't natively support it.\n var IteratorPrototype = {};\n define(IteratorPrototype, iteratorSymbol, function () {\n return this;\n });\n\n var getProto = Object.getPrototypeOf;\n var NativeIteratorPrototype = getProto && getProto(getProto(values([])));\n if (NativeIteratorPrototype &&\n NativeIteratorPrototype !== Op &&\n hasOwn.call(NativeIteratorPrototype, iteratorSymbol)) {\n // This environment has a native %IteratorPrototype%; use it instead\n // of the polyfill.\n IteratorPrototype = NativeIteratorPrototype;\n }\n\n var Gp = GeneratorFunctionPrototype.prototype =\n Generator.prototype = Object.create(IteratorPrototype);\n GeneratorFunction.prototype = GeneratorFunctionPrototype;\n define(Gp, \"constructor\", GeneratorFunctionPrototype);\n define(GeneratorFunctionPrototype, \"constructor\", GeneratorFunction);\n GeneratorFunction.displayName = define(\n GeneratorFunctionPrototype,\n toStringTagSymbol,\n \"GeneratorFunction\"\n );\n\n // Helper for defining the .next, .throw, and .return methods of the\n // Iterator interface in terms of a single ._invoke method.\n function defineIteratorMethods(prototype) {\n [\"next\", \"throw\", \"return\"].forEach(function(method) {\n define(prototype, method, function(arg) {\n return this._invoke(method, arg);\n });\n });\n }\n\n exports.isGeneratorFunction = function(genFun) {\n var ctor = typeof genFun === \"function\" && genFun.constructor;\n return ctor\n ? ctor === GeneratorFunction ||\n // For the native GeneratorFunction constructor, the best we can\n // do is to check its .name property.\n (ctor.displayName || ctor.name) === \"GeneratorFunction\"\n : false;\n };\n\n exports.mark = function(genFun) {\n if (Object.setPrototypeOf) {\n Object.setPrototypeOf(genFun, GeneratorFunctionPrototype);\n } else {\n genFun.__proto__ = GeneratorFunctionPrototype;\n define(genFun, toStringTagSymbol, \"GeneratorFunction\");\n }\n genFun.prototype = Object.create(Gp);\n return genFun;\n };\n\n // Within the body of any async function, `await x` is transformed to\n // `yield regeneratorRuntime.awrap(x)`, so that the runtime can test\n // `hasOwn.call(value, \"__await\")` to determine if the yielded value is\n // meant to be awaited.\n exports.awrap = function(arg) {\n return { __await: arg };\n };\n\n function AsyncIterator(generator, PromiseImpl) {\n function invoke(method, arg, resolve, reject) {\n var record = tryCatch(generator[method], generator, arg);\n if (record.type === \"throw\") {\n reject(record.arg);\n } else {\n var result = record.arg;\n var value = result.value;\n if (value &&\n typeof value === \"object\" &&\n hasOwn.call(value, \"__await\")) {\n return PromiseImpl.resolve(value.__await).then(function(value) {\n invoke(\"next\", value, resolve, reject);\n }, function(err) {\n invoke(\"throw\", err, resolve, reject);\n });\n }\n\n return PromiseImpl.resolve(value).then(function(unwrapped) {\n // When a yielded Promise is resolved, its final value becomes\n // the .value of the Promise<{value,done}> result for the\n // current iteration.\n result.value = unwrapped;\n resolve(result);\n }, function(error) {\n // If a rejected Promise was yielded, throw the rejection back\n // into the async generator function so it can be handled there.\n return invoke(\"throw\", error, resolve, reject);\n });\n }\n }\n\n var previousPromise;\n\n function enqueue(method, arg) {\n function callInvokeWithMethodAndArg() {\n return new PromiseImpl(function(resolve, reject) {\n invoke(method, arg, resolve, reject);\n });\n }\n\n return previousPromise =\n // If enqueue has been called before, then we want to wait until\n // all previous Promises have been resolved before calling invoke,\n // so that results are always delivered in the correct order. If\n // enqueue has not been called before, then it is important to\n // call invoke immediately, without waiting on a callback to fire,\n // so that the async generator function has the opportunity to do\n // any necessary setup in a predictable way. This predictability\n // is why the Promise constructor synchronously invokes its\n // executor callback, and why async functions synchronously\n // execute code before the first await. Since we implement simple\n // async functions in terms of async generators, it is especially\n // important to get this right, even though it requires care.\n previousPromise ? previousPromise.then(\n callInvokeWithMethodAndArg,\n // Avoid propagating failures to Promises returned by later\n // invocations of the iterator.\n callInvokeWithMethodAndArg\n ) : callInvokeWithMethodAndArg();\n }\n\n // Define the unified helper method that is used to implement .next,\n // .throw, and .return (see defineIteratorMethods).\n this._invoke = enqueue;\n }\n\n defineIteratorMethods(AsyncIterator.prototype);\n define(AsyncIterator.prototype, asyncIteratorSymbol, function () {\n return this;\n });\n exports.AsyncIterator = AsyncIterator;\n\n // Note that simple async functions are implemented on top of\n // AsyncIterator objects; they just return a Promise for the value of\n // the final result produced by the iterator.\n exports.async = function(innerFn, outerFn, self, tryLocsList, PromiseImpl) {\n if (PromiseImpl === void 0) PromiseImpl = Promise;\n\n var iter = new AsyncIterator(\n wrap(innerFn, outerFn, self, tryLocsList),\n PromiseImpl\n );\n\n return exports.isGeneratorFunction(outerFn)\n ? iter // If outerFn is a generator, return the full iterator.\n : iter.next().then(function(result) {\n return result.done ? result.value : iter.next();\n });\n };\n\n function makeInvokeMethod(innerFn, self, context) {\n var state = GenStateSuspendedStart;\n\n return function invoke(method, arg) {\n if (state === GenStateExecuting) {\n throw new Error(\"Generator is already running\");\n }\n\n if (state === GenStateCompleted) {\n if (method === \"throw\") {\n throw arg;\n }\n\n // Be forgiving, per 25.3.3.3.3 of the spec:\n // https://people.mozilla.org/~jorendorff/es6-draft.html#sec-generatorresume\n return doneResult();\n }\n\n context.method = method;\n context.arg = arg;\n\n while (true) {\n var delegate = context.delegate;\n if (delegate) {\n var delegateResult = maybeInvokeDelegate(delegate, context);\n if (delegateResult) {\n if (delegateResult === ContinueSentinel) continue;\n return delegateResult;\n }\n }\n\n if (context.method === \"next\") {\n // Setting context._sent for legacy support of Babel's\n // function.sent implementation.\n context.sent = context._sent = context.arg;\n\n } else if (context.method === \"throw\") {\n if (state === GenStateSuspendedStart) {\n state = GenStateCompleted;\n throw context.arg;\n }\n\n context.dispatchException(context.arg);\n\n } else if (context.method === \"return\") {\n context.abrupt(\"return\", context.arg);\n }\n\n state = GenStateExecuting;\n\n var record = tryCatch(innerFn, self, context);\n if (record.type === \"normal\") {\n // If an exception is thrown from innerFn, we leave state ===\n // GenStateExecuting and loop back for another invocation.\n state = context.done\n ? GenStateCompleted\n : GenStateSuspendedYield;\n\n if (record.arg === ContinueSentinel) {\n continue;\n }\n\n return {\n value: record.arg,\n done: context.done\n };\n\n } else if (record.type === \"throw\") {\n state = GenStateCompleted;\n // Dispatch the exception by looping back around to the\n // context.dispatchException(context.arg) call above.\n context.method = \"throw\";\n context.arg = record.arg;\n }\n }\n };\n }\n\n // Call delegate.iterator[context.method](context.arg) and handle the\n // result, either by returning a { value, done } result from the\n // delegate iterator, or by modifying context.method and context.arg,\n // setting context.delegate to null, and returning the ContinueSentinel.\n function maybeInvokeDelegate(delegate, context) {\n var method = delegate.iterator[context.method];\n if (method === undefined) {\n // A .throw or .return when the delegate iterator has no .throw\n // method always terminates the yield* loop.\n context.delegate = null;\n\n if (context.method === \"throw\") {\n // Note: [\"return\"] must be used for ES3 parsing compatibility.\n if (delegate.iterator[\"return\"]) {\n // If the delegate iterator has a return method, give it a\n // chance to clean up.\n context.method = \"return\";\n context.arg = undefined;\n maybeInvokeDelegate(delegate, context);\n\n if (context.method === \"throw\") {\n // If maybeInvokeDelegate(context) changed context.method from\n // \"return\" to \"throw\", let that override the TypeError below.\n return ContinueSentinel;\n }\n }\n\n context.method = \"throw\";\n context.arg = new TypeError(\n \"The iterator does not provide a 'throw' method\");\n }\n\n return ContinueSentinel;\n }\n\n var record = tryCatch(method, delegate.iterator, context.arg);\n\n if (record.type === \"throw\") {\n context.method = \"throw\";\n context.arg = record.arg;\n context.delegate = null;\n return ContinueSentinel;\n }\n\n var info = record.arg;\n\n if (! info) {\n context.method = \"throw\";\n context.arg = new TypeError(\"iterator result is not an object\");\n context.delegate = null;\n return ContinueSentinel;\n }\n\n if (info.done) {\n // Assign the result of the finished delegate to the temporary\n // variable specified by delegate.resultName (see delegateYield).\n context[delegate.resultName] = info.value;\n\n // Resume execution at the desired location (see delegateYield).\n context.next = delegate.nextLoc;\n\n // If context.method was \"throw\" but the delegate handled the\n // exception, let the outer generator proceed normally. If\n // context.method was \"next\", forget context.arg since it has been\n // \"consumed\" by the delegate iterator. If context.method was\n // \"return\", allow the original .return call to continue in the\n // outer generator.\n if (context.method !== \"return\") {\n context.method = \"next\";\n context.arg = undefined;\n }\n\n } else {\n // Re-yield the result returned by the delegate method.\n return info;\n }\n\n // The delegate iterator is finished, so forget it and continue with\n // the outer generator.\n context.delegate = null;\n return ContinueSentinel;\n }\n\n // Define Generator.prototype.{next,throw,return} in terms of the\n // unified ._invoke helper method.\n defineIteratorMethods(Gp);\n\n define(Gp, toStringTagSymbol, \"Generator\");\n\n // A Generator should always return itself as the iterator object when the\n // @@iterator function is called on it. Some browsers' implementations of the\n // iterator prototype chain incorrectly implement this, causing the Generator\n // object to not be returned from this call. This ensures that doesn't happen.\n // See https://github.com/facebook/regenerator/issues/274 for more details.\n define(Gp, iteratorSymbol, function() {\n return this;\n });\n\n define(Gp, \"toString\", function() {\n return \"[object Generator]\";\n });\n\n function pushTryEntry(locs) {\n var entry = { tryLoc: locs[0] };\n\n if (1 in locs) {\n entry.catchLoc = locs[1];\n }\n\n if (2 in locs) {\n entry.finallyLoc = locs[2];\n entry.afterLoc = locs[3];\n }\n\n this.tryEntries.push(entry);\n }\n\n function resetTryEntry(entry) {\n var record = entry.completion || {};\n record.type = \"normal\";\n delete record.arg;\n entry.completion = record;\n }\n\n function Context(tryLocsList) {\n // The root entry object (effectively a try statement without a catch\n // or a finally block) gives us a place to store values thrown from\n // locations where there is no enclosing try statement.\n this.tryEntries = [{ tryLoc: \"root\" }];\n tryLocsList.forEach(pushTryEntry, this);\n this.reset(true);\n }\n\n exports.keys = function(object) {\n var keys = [];\n for (var key in object) {\n keys.push(key);\n }\n keys.reverse();\n\n // Rather than returning an object with a next method, we keep\n // things simple and return the next function itself.\n return function next() {\n while (keys.length) {\n var key = keys.pop();\n if (key in object) {\n next.value = key;\n next.done = false;\n return next;\n }\n }\n\n // To avoid creating an additional object, we just hang the .value\n // and .done properties off the next function object itself. This\n // also ensures that the minifier will not anonymize the function.\n next.done = true;\n return next;\n };\n };\n\n function values(iterable) {\n if (iterable) {\n var iteratorMethod = iterable[iteratorSymbol];\n if (iteratorMethod) {\n return iteratorMethod.call(iterable);\n }\n\n if (typeof iterable.next === \"function\") {\n return iterable;\n }\n\n if (!isNaN(iterable.length)) {\n var i = -1, next = function next() {\n while (++i < iterable.length) {\n if (hasOwn.call(iterable, i)) {\n next.value = iterable[i];\n next.done = false;\n return next;\n }\n }\n\n next.value = undefined;\n next.done = true;\n\n return next;\n };\n\n return next.next = next;\n }\n }\n\n // Return an iterator with no values.\n return { next: doneResult };\n }\n exports.values = values;\n\n function doneResult() {\n return { value: undefined, done: true };\n }\n\n Context.prototype = {\n constructor: Context,\n\n reset: function(skipTempReset) {\n this.prev = 0;\n this.next = 0;\n // Resetting context._sent for legacy support of Babel's\n // function.sent implementation.\n this.sent = this._sent = undefined;\n this.done = false;\n this.delegate = null;\n\n this.method = \"next\";\n this.arg = undefined;\n\n this.tryEntries.forEach(resetTryEntry);\n\n if (!skipTempReset) {\n for (var name in this) {\n // Not sure about the optimal order of these conditions:\n if (name.charAt(0) === \"t\" &&\n hasOwn.call(this, name) &&\n !isNaN(+name.slice(1))) {\n this[name] = undefined;\n }\n }\n }\n },\n\n stop: function() {\n this.done = true;\n\n var rootEntry = this.tryEntries[0];\n var rootRecord = rootEntry.completion;\n if (rootRecord.type === \"throw\") {\n throw rootRecord.arg;\n }\n\n return this.rval;\n },\n\n dispatchException: function(exception) {\n if (this.done) {\n throw exception;\n }\n\n var context = this;\n function handle(loc, caught) {\n record.type = \"throw\";\n record.arg = exception;\n context.next = loc;\n\n if (caught) {\n // If the dispatched exception was caught by a catch block,\n // then let that catch block handle the exception normally.\n context.method = \"next\";\n context.arg = undefined;\n }\n\n return !! caught;\n }\n\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n var record = entry.completion;\n\n if (entry.tryLoc === \"root\") {\n // Exception thrown outside of any try block that could handle\n // it, so set the completion value of the entire function to\n // throw the exception.\n return handle(\"end\");\n }\n\n if (entry.tryLoc <= this.prev) {\n var hasCatch = hasOwn.call(entry, \"catchLoc\");\n var hasFinally = hasOwn.call(entry, \"finallyLoc\");\n\n if (hasCatch && hasFinally) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n } else if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else if (hasCatch) {\n if (this.prev < entry.catchLoc) {\n return handle(entry.catchLoc, true);\n }\n\n } else if (hasFinally) {\n if (this.prev < entry.finallyLoc) {\n return handle(entry.finallyLoc);\n }\n\n } else {\n throw new Error(\"try statement without catch or finally\");\n }\n }\n }\n },\n\n abrupt: function(type, arg) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc <= this.prev &&\n hasOwn.call(entry, \"finallyLoc\") &&\n this.prev < entry.finallyLoc) {\n var finallyEntry = entry;\n break;\n }\n }\n\n if (finallyEntry &&\n (type === \"break\" ||\n type === \"continue\") &&\n finallyEntry.tryLoc <= arg &&\n arg <= finallyEntry.finallyLoc) {\n // Ignore the finally entry if control is not jumping to a\n // location outside the try/catch block.\n finallyEntry = null;\n }\n\n var record = finallyEntry ? finallyEntry.completion : {};\n record.type = type;\n record.arg = arg;\n\n if (finallyEntry) {\n this.method = \"next\";\n this.next = finallyEntry.finallyLoc;\n return ContinueSentinel;\n }\n\n return this.complete(record);\n },\n\n complete: function(record, afterLoc) {\n if (record.type === \"throw\") {\n throw record.arg;\n }\n\n if (record.type === \"break\" ||\n record.type === \"continue\") {\n this.next = record.arg;\n } else if (record.type === \"return\") {\n this.rval = this.arg = record.arg;\n this.method = \"return\";\n this.next = \"end\";\n } else if (record.type === \"normal\" && afterLoc) {\n this.next = afterLoc;\n }\n\n return ContinueSentinel;\n },\n\n finish: function(finallyLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.finallyLoc === finallyLoc) {\n this.complete(entry.completion, entry.afterLoc);\n resetTryEntry(entry);\n return ContinueSentinel;\n }\n }\n },\n\n \"catch\": function(tryLoc) {\n for (var i = this.tryEntries.length - 1; i >= 0; --i) {\n var entry = this.tryEntries[i];\n if (entry.tryLoc === tryLoc) {\n var record = entry.completion;\n if (record.type === \"throw\") {\n var thrown = record.arg;\n resetTryEntry(entry);\n }\n return thrown;\n }\n }\n\n // The context.catch method must only be called with a location\n // argument that corresponds to a known catch block.\n throw new Error(\"illegal catch attempt\");\n },\n\n delegateYield: function(iterable, resultName, nextLoc) {\n this.delegate = {\n iterator: values(iterable),\n resultName: resultName,\n nextLoc: nextLoc\n };\n\n if (this.method === \"next\") {\n // Deliberately forget the last sent value so that we don't\n // accidentally pass it on to the delegate.\n this.arg = undefined;\n }\n\n return ContinueSentinel;\n }\n };\n\n // Regardless of whether this script is executing as a CommonJS module\n // or not, return the runtime object so that we can declare the variable\n // regeneratorRuntime in the outer scope, which allows this module to be\n // injected easily by `bin/regenerator --include-runtime script.js`.\n return exports;\n\n}(\n // If this script is executing as a CommonJS module, use module.exports\n // as the regeneratorRuntime namespace. Otherwise create a new empty\n // object. Either way, the resulting object will be used to initialize\n // the regeneratorRuntime variable at the top of this file.\n typeof module === \"object\" ? module.exports : {}\n));\n\ntry {\n regeneratorRuntime = runtime;\n} catch (accidentalStrictMode) {\n // This module should not be running in strict mode, so the above\n // assignment should always work unless something is misconfigured. Just\n // in case runtime.js accidentally runs in strict mode, in modern engines\n // we can explicitly access globalThis. In older engines we can escape\n // strict mode using a global Function call. This could conceivably fail\n // if a Content Security Policy forbids using Function, but in that case\n // the proper solution is to fix the accidental strict mode problem. If\n // you've misconfigured your bundler to force strict mode and applied a\n // CSP to forbid Function, and you're not willing to fix either of those\n // problems, please detail your unique predicament in a GitHub issue.\n if (typeof globalThis === \"object\") {\n globalThis.regeneratorRuntime = runtime;\n } else {\n Function(\"r\", \"regeneratorRuntime = r\")(runtime);\n }\n}\n","export const CONF = {\n X_FIELD: \"datamations_x\",\n Y_FIELD: \"datamations_y\",\n ORDER_FIELD: \"datamations_order\",\n SCHEME: \"https://vega.github.io/schema/vega-lite/v4.json\",\n};\n\nexport const IGNORE_FIELDS = [\n 'tooltip', 'x', 'y',\n 'datamations_x', 'datamations_y'\n];\n\nexport const META_PARSE_VALUES = {\n grid: \"grid\",\n jitter: \"jitter\",\n};","import { IGNORE_FIELDS } from \"./config.js\";\n\n/**\n * Gets selectors for each componenent, such as slider and animation divs\n * @param {String} id root container id where all the animation components are rendered\n * @returns object of selectors\n */\nexport function getSelectors(id) {\n const base = \"#\" + id;\n\n return {\n axisSelector: base + \" .vega-for-axis\",\n visSelector: base + \" .vega-vis\",\n descr: base + \" .description\",\n slider: base + \" .slider\",\n otherLayers: base + \" .vega-other-layers\",\n controls: base + \" .controls-wrapper\",\n exportWrap: base + \" .export-wrapper\",\n exportBtn: base + \" .export-btn\",\n replayBtn: base + \" .replay-btn\",\n };\n}\n\n/**\n * Splits layers into separate vega-lite specifications, removes layer field\n * @param {Object} input vega-lite specification with layers\n * @returns a list of specs\n */\nexport function splitLayers(input) {\n const specArray = [];\n const spec = input.spec;\n\n if (spec && spec.layer) {\n spec.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === spec.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.spec.encoding = d.encoding;\n obj.spec.mark = d.mark;\n delete obj.spec.layer;\n specArray.push(obj);\n });\n } else if (input.layer) {\n input.layer.forEach((d, i) => {\n const obj = JSON.parse(JSON.stringify(input));\n const animated = i === input.layer.length - 1;\n\n if (obj.meta) {\n obj.meta.animated = animated;\n } else {\n obj.meta = { animated };\n }\n\n obj.encoding = d.encoding;\n obj.mark = d.mark;\n delete obj.layer;\n specArray.push(obj);\n });\n }\n\n return specArray;\n}\n\n/**\n * Looks up a word based of buckets and value.\n * Example:\n * - words: ['a', 'b', 'c']\n * - buckets: [10, 20, 30]\n * - value: 25\n * will return 'c'\n * @param {Array} words list of words\n * @param {Array} buckets list of numbers\n * @param {Number} value score to lookup\n */\nexport function lookupByBucket(words, buckets, value) {\n return words[buckets.findIndex((d) => value <= d)];\n}\n\n/**\n * Finds correct number of rows for grid based on biggest group\n * @param {Array} vegaLiteSpecs an array of vega lite specs\n * @returns a number of rows\n */\nexport function getRows(vegaLiteSpecs) {\n let maxRows = 0;\n\n vegaLiteSpecs\n .filter((d) => d.meta.parse === \"grid\")\n .forEach((spec) => {\n let { width: specWidth, height: specHeight } = spec.spec || spec;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const splitField = spec.meta.splitField;\n const groupKeys = [];\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n }\n }\n\n let specValues = spec.data.values;\n\n const gap = 2;\n const distance = 4 + gap;\n\n let secondarySplit = Object.keys(encoding).filter((d) => {\n const field = encoding[d].field;\n return (\n field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1\n );\n })[0];\n\n // combine groups if secondarySplit\n if (splitField && secondarySplit) {\n const secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n (arr) => {\n const obj = {};\n let sum = 0;\n\n arr.forEach((x) => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach((x) => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n const maxN = d3.max(specValues, (d) => d.n);\n\n let rows = Math.ceil(Math.sqrt(maxN));\n let maxCols = Math.ceil(maxN / rows);\n\n // if horizontal gap is less than 5,\n // then take up all vertical space to increase rows and reduce columns\n if (specWidth / maxCols < 5) {\n rows = Math.floor(specHeight / distance);\n }\n\n if (rows > maxRows) {\n maxRows = rows;\n }\n });\n\n return maxRows;\n}\n","/*\n* Layout generation functions for datamations.\n* Supports:\n* - grid view: meta.parse = \"grid\"\n* - jittered view: meta.parse = \"jitter\"\n*/\nimport { CONF, IGNORE_FIELDS } from \"./config.js\";\nimport { lookupByBucket } from \"./utils.js\";\n\n/**\n * Generates data for grid specs\n * @param {Object} spec vega-lite spec\n * @param {Number} rows number of rows\n * @param {Boolean} stacked if true, circles are stacked and vertically aliged\n * @returns an array of objects\n */\nexport function generateGrid(spec, rows = 10, stacked = false) {\n const splitField = spec.meta.splitField;\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const groupKeys = [];\n\n let {width: specWidth} = spec.spec || spec;\n\n if (spec.facet) {\n if (spec.facet.column) {\n groupKeys.push(spec.facet.column.field);\n spec.facet.column.sort = { \"field\": CONF.ORDER_FIELD };\n }\n if (spec.facet.row) {\n groupKeys.push(spec.facet.row.field);\n spec.facet.row.sort = { \"field\": CONF.ORDER_FIELD };\n }\n }\n\n let specValues = spec.data.values;\n\n const metas = [];\n\n specValues.forEach((d, i) => {\n d[CONF.ORDER_FIELD] = i;\n if (d.meta) {\n metas.push(...Object.keys(d.meta));\n }\n });\n\n let secondarySplit = Object.keys(encoding).filter(d => {\n const field = encoding[d].field;\n return field !== splitField &&\n IGNORE_FIELDS.indexOf(d) === -1 &&\n groupKeys.indexOf(field) === -1 &&\n metas.indexOf(field) === -1;\n })[0];\n\n let secondaryField = null;\n\n // combine groups\n // for example, if splitField = player, but color = hit:\n\n // { \"n\": 5, \"player\": \"a\", \"hit\": \"yes\" },\n // { \"n\": 10, \"player\": \"a\", \"hit\": \"no\" },\n // { \"n\": 15, \"player\": \"b\", \"hit\": \"yes\" },\n // { \"n\": 35, \"player\": \"b\", \"hit\": \"no\" }\n\n // after this code block we will get:\n // { \"n\": 15, \"player\": \"a\", \"hit\": { \"yes\": 5, \"no\": 10 } },\n // { \"n\": 50, \"player\": \"b\", \"hit\": { \"yes\": 15, \"no\": 35 } },\n\n if (splitField && secondarySplit) {\n secondaryField = encoding[secondarySplit].field;\n const keys = [...groupKeys, splitField];\n\n const grouped = d3.rollups(\n specValues,\n arr => {\n const obj = {};\n let sum = 0;\n\n arr.forEach(x => {\n sum += x.n;\n obj[x[secondaryField]] = sum;\n });\n\n const o = {\n [splitField]: arr[0][splitField],\n [secondaryField]: obj,\n n: sum,\n };\n\n groupKeys.forEach(x => {\n o[x] = arr[0][x];\n });\n\n return o;\n },\n ...keys.map((key) => {\n return (d) => d[key];\n })\n );\n\n specValues = grouped.flatMap((d) => {\n if (keys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n\n specWidth = specWidth / grouped.length;\n }\n\n let maxCols = Math.ceil(d3.max(specValues, d => d.n) / rows);\n let splitOptions = [];\n\n if (splitField) {\n splitOptions = Array.from(\n new Set(specValues.map((d) => d[splitField]))\n )\n }\n\n let counter = 1;\n\n const reduce = (v) => {\n const arr = [];\n\n v.forEach((d, j) => {\n const n = d.n;\n const columns = Math.ceil(n / rows);\n const xCenter = splitField ? splitOptions.indexOf(d[splitField]) + 1 : 1;\n\n let startCol = (xCenter - 1) * maxCols + j; // inner grid start\n startCol += Math.floor((maxCols - columns) / 2); // center alignment\n\n const datum = {};\n\n // remove n and gemini_ids, we won't need them any more\n Object.keys(d).forEach(k => {\n if (k !== 'n' && k !== 'gemini_ids') {\n datum[k] = d[k];\n }\n });\n\n for (let i = 0; i < n; i++) {\n const x = startCol + Math.floor(i / rows);\n const y = rows - 1 - i % rows;\n const colorFieldObj = {};\n\n // for secondary split, e.g. is_hit, find correct key and value\n if (secondaryField && typeof[d[secondaryField]] === \"object\") {\n const keys = Object.keys(d[secondaryField]).sort((a, b) => {\n return d[secondaryField][a] - d[secondaryField][b];\n });\n\n colorFieldObj[secondaryField] = lookupByBucket(\n keys,\n keys.map(k => d[secondaryField][k]),\n i + 1,\n );\n }\n\n arr.push({\n ...datum,\n ...colorFieldObj,\n gemini_id: d.gemini_ids ? d.gemini_ids[i] : counter,\n [CONF.X_FIELD]: stacked ? xCenter : x,\n [CONF.Y_FIELD]: stacked ? i + 1 : y,\n });\n\n counter++;\n }\n });\n\n return arr;\n };\n\n let gridValues = [];\n\n if (groupKeys.length === 0) {\n gridValues = reduce(specValues);\n } else {\n gridValues = d3.rollups(\n specValues,\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n )\n .flatMap((d) => {\n if (groupKeys.length === 1) {\n return d[1];\n } else {\n return d[1].flatMap((d) => d[1]);\n }\n });\n }\n\n const num_groups = splitOptions.length;\n\n return {\n gridValues,\n domain: [\n -maxCols / 2,\n (num_groups * maxCols) + (num_groups - 1) + maxCols / 2 - 1\n ],\n num_groups\n };\n}\n\n/**\n * Generates infogrid specification\n * @param {Object} spec vega-lite specification\n * @param {Number} rows number of rows in a grid\n * @returns grid specification\n */\nexport function getGridSpec(spec, rows = 10, stacked = false) {\n return new Promise((res) => {\n const { gridValues: grid, domain, num_groups } = generateGrid(spec, rows, stacked);\n const obj = {...spec};\n const encoding = obj.spec ? obj.spec.encoding : obj.encoding;\n\n const dx = stacked ? 1 : 1;\n\n const xDomain = stacked || num_groups === 0 ? [\n d3.min(grid, d => d[CONF.X_FIELD]) - dx,\n d3.max(grid, d => d[CONF.X_FIELD]) + dx\n ] : domain;\n\n const yPadding = (spec.facet && spec.facet.row) ? 0.8 : 0.4;\n\n const yDomain = [\n stacked ? 0 : d3.min(grid, (d) => d[CONF.Y_FIELD]) - yPadding,\n d3.max(grid, (d) => d[CONF.Y_FIELD]) + yPadding + (stacked ? 10 : 0),\n ];\n\n const middle = yDomain[0] + (yDomain[1] - yDomain[0]) / 2;\n\n obj.data.values = grid;\n\n encoding.x.scale = {\n type: \"linear\",\n domain: xDomain,\n };\n\n encoding.y.scale = {\n type: \"linear\",\n domain: [\n Math.min(yDomain[0], middle - rows / 2),\n Math.max(yDomain[1], middle + rows / 2)\n ],\n };\n\n encoding.x.field = CONF.X_FIELD;\n encoding.y.field = CONF.Y_FIELD;\n\n // set axis labels when splitField\n if (spec.meta.splitField) {\n const labels = Array.from(\n new Set(grid.map(d => d[spec.meta.splitField]))\n );\n\n const expr = {};\n\n labels.forEach((d) => {\n // find min and max x values for each label\n const extent = d3.extent(\n spec.data.values.filter(x => x[spec.meta.splitField] === d),\n d => d[CONF.X_FIELD],\n );\n\n const middle = Math.ceil(extent[0] + (extent[1] - extent[0]) / 2);\n expr[middle] = d;\n });\n\n spec.meta.rules = obj.meta.rules = labels.map(m => {\n return {\n filter: `datum['${spec.meta.splitField}'] === '${m}'`,\n groupKey: spec.meta.splitField,\n groupValue: m,\n }\n });\n\n encoding.x.axis = {\n labelExpr: `${JSON.stringify(expr)}[datum.label]`,\n values: Object.keys(expr).map(d => +d),\n labelAngle: -90,\n grid: false,\n title: spec.meta.splitField,\n };\n }\n\n return res(obj);\n });\n}\n\n/**\n * Generates jittered specification using d3-force\n * @param {Object} spec vega-lite specification\n * @returns jittered spec\n */\nexport function getJitterSpec(spec) {\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n const width = spec.spec ? spec.spec.width : spec.width;\n const nodes = spec.data.values;\n\n const circleRadius = 4;\n\n let innerGroupCount = 1;\n\n if (spec.meta.splitField) {\n innerGroupCount = new Set(\n nodes.map(d => d[spec.meta.splitField])\n ).size;\n }\n\n const facetSize = width ? width : 150;\n const yExtent = d3.extent(nodes, d => d[CONF.Y_FIELD]);\n const xScale = d3.scaleBand()\n .domain(d3.range(1, innerGroupCount + 1))\n .range([0, facetSize])\n .paddingOuter(0.5);\n\n const arr = nodes.slice().filter(d => d[CONF.Y_FIELD] !== undefined).map((d, i) => {\n d.oldX = d[CONF.X_FIELD];\n d.oldY = d[CONF.Y_FIELD];\n\n let x = xScale(d[CONF.X_FIELD]) + xScale.bandwidth() / 2;\n let y = d[CONF.Y_FIELD];\n\n d.scaledX = Math.round(x);\n\n return {\n ...d,\n x: x,\n y: y,\n };\n });\n\n const simulation = d3\n .forceSimulation(arr)\n .force(\"x\", d3.forceX().x(d => d.x))\n .force(\"y\", d3.forceY().strength(0.002).y(d => d[CONF.Y_FIELD]))\n .force(\"collide\", d3\n .forceCollide()\n .strength(0.01)\n .radius(circleRadius)\n )\n .stop();\n\n return new Promise((res) => {\n const bandwidth = xScale.bandwidth() * 0.9;\n\n for (let i = 0; i < 120; i++) {\n simulation.tick();\n\n arr.forEach(d => {\n const x = xScale(d.oldX);\n d.y = d.oldY;\n \n // restrict to the bounds: [5%, 95%] of width\n d.x = Math.max(\n x + xScale.bandwidth() * 0.05,\n Math.min(x + bandwidth, d.x),\n );\n })\n }\n\n if (encoding.y.scale) {\n encoding.y.scale.domain = yExtent\n } else {\n encoding.y.scale = {\n domain: yExtent\n }\n }\n\n encoding.x.scale = {\n domain: [0, facetSize]\n }\n\n // jitter still needs encoding fields to be x and y,\n // because d3-force uses x and y internally.\n encoding.x.field = \"x\";\n encoding.y.field = \"y\";\n\n // if meta.axes is falsy, and we have custom x-axis\n if (!spec.meta.axes && encoding.x.axis && spec.meta.xAxisLabels) {\n const labels = spec.meta.xAxisLabels;\n\n const axisExpr = {};\n const mapped = labels.map((d, i) => {\n const x = Math.round(xScale(i + 1) + xScale.bandwidth() / 2);\n axisExpr[x] = d;\n return { x, label: d };\n });\n\n encoding.x.axis.labelExpr = `${JSON.stringify(axisExpr)}[datum.label]`;\n encoding.x.axis.values = mapped.map(d => d.x);\n }\n\n return res({\n ...spec,\n data: {\n name: \"source\",\n values: arr,\n },\n });\n });\n}","/**\n * Custom animations generation script.\n * Supports:\n * - count\n * - median\n * - mean\n * - quantile\n * - min\n * - max\n * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/\n */\n\nimport { CONF } from \"./config.js\";\nimport { getGridSpec } from \"./layout.js\";\n\n/**\n * Generates a spec for count animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Object} shrink if truthy, circles will be pulled up\n * @returns a vega lite spec\n */\nexport const getCountStep = (source, target, shrink = false) => {\n const { width, height } = target.spec || target;\n let values = source.data.values.slice();\n const sourceMeta = source.meta;\n\n // generate rules layer\n const rules = sourceMeta.rules.map((d, i) => {\n const n = sourceMeta.rules.length;\n return {\n transform: [{ filter: d.filter }],\n name: `rule-${i + 1}`,\n mark: {\n type: \"rule\",\n x: { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"count\",\n // axis: null,\n },\n },\n };\n });\n\n if (shrink) {\n values = values.map((d, i) => {\n const y = target.data.values[i][CONF.Y_FIELD];\n return {\n ...d,\n [CONF.Y_FIELD]: y,\n };\n });\n }\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: source.encoding,\n },\n ...rules,\n ],\n };\n};\n\n/**\n * Generates a spec for median and quantile animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {Number} step step counter. null is the last step\n * @param {Number} p a percentile\n * @returns a vega lite spec\n */\nexport const getMedianStep = (source, target, step = 0, p = 0.5) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const isLast = step === null;\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n // inspired by median animation https://uwdata.github.io/gemini2-editor/ \n const y_median = d3.quantile(sorted, p, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_median_pos = hasFacet ? data[0].scaleY(y_median) : y_median;\n const median_rank = d3.quantile(sorted, 0.5, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const diff = isLast ? null : max_rank - median_rank - step;\n const dx = hasFacet ? 5 : 0.1;\n\n sorted = sorted.map((d) => {\n const rank_delta_abs = Math.abs(d.rank - median_rank);\n const y_delta = (hasFacet ? d.oldY : d[CONF.Y_FIELD]) - y_median;\n const bisection =\n diff !== null && rank_delta_abs <= diff ? 0 : y_delta > 0 ? 1 : -1;\n\n let newField = null;\n\n if (bisection === -1) {\n newField = d[CONF.X_FIELD] - dx;\n } else if (bisection === 1) {\n newField = d[CONF.X_FIELD] + dx;\n } else {\n newField = d[CONF.X_FIELD];\n }\n\n return {\n ...d,\n bisection,\n [CONF.X_FIELD + \"_pos\"]: newField,\n y_median,\n y_median_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue} && datum.bisection === 0`;\n let groupFilter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupFilter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupFilter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupFilter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupFilter,\n groupValue,\n groupKey: CONF.X_FIELD,\n median: y_median,\n groupId,\n median_pos: y_median_pos,\n rankDiff: Math.abs(max_rank - median_rank),\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) + 1,\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos\"]) - 1,\n });\n\n values.push(...sorted);\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollup(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n let ruleField = isLast ? \"y_median\" : CONF.Y_FIELD;\n\n if (hasFacet) {\n ruleField = isLast ? \"y_median_pos\" : CONF.Y_FIELD;\n }\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const top_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `top_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"max\",\n axis: null,\n },\n },\n };\n\n const bottom_rule = {\n transform: isLast ? [{ filter: d.groupFilter }] : [{ filter: d.filter }],\n name: `bottom_rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? d.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: ruleField,\n type: \"quantitative\",\n aggregate: \"min\",\n axis: null,\n },\n },\n };\n\n rules.push(top_rule, bottom_rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n color: source.encoding.color\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for mean animation\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @returns a vega lite spec\n */\nexport const getMeanStep = (source, target) => {\n const all_groups = [];\n const { width, height } = target.spec || target;\n const domain = source.encoding.y.scale.domain;\n\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n const reduce = (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n\n let sorted = data\n .slice()\n .sort((a, b) => {\n const sortFn = hasFacet ? \"descending\" : \"ascending\";\n return d3[sortFn](a[CONF.Y_FIELD], b[CONF.Y_FIELD]);\n })\n .map((d, i) => {\n return {\n ...d,\n rank: i + 1,\n };\n });\n\n const y_mean = d3.mean(sorted, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const y_mean_pos = hasFacet ? data[0].scaleY(y_mean) : y_mean;\n const mean_rank = d3.mean(sorted, (d) => d.rank);\n const max_rank = d3.max(sorted, (d) => d.rank);\n const dividor = max_rank * 1.4;\n const multiplier = hasFacet ? 25 : 1;\n\n sorted = sorted.map((d) => {\n const rankRatio_from_mean = (d.rank - mean_rank) / dividor;\n\n const rankRatio_from_mean_start = (d.rank - 0.5 - mean_rank) / dividor;\n const rankRatio_from_mean_end = (d.rank + 0.5 - mean_rank) / dividor;\n\n return {\n ...d,\n [CONF.X_FIELD + \"_pos\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean * multiplier,\n [CONF.X_FIELD + \"_pos_start\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_start * multiplier,\n [CONF.X_FIELD + \"_pos_end\"]:\n d[CONF.X_FIELD] + rankRatio_from_mean_end * multiplier,\n y_mean,\n y_mean_pos,\n };\n });\n\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n groupId: groupId,\n mean: y_mean,\n mean_pos: y_mean_pos,\n rule_start: d3.min(sorted, (d) => d[CONF.X_FIELD + \"_pos_start\"]),\n rule_end: d3.max(sorted, (d) => d[CONF.X_FIELD + \"_pos_end\"]),\n });\n\n values.push(...sorted);\n\n return sorted;\n };\n\n const groupKeys = [CONF.X_FIELD];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n d3.rollups(\n source.data.values.slice(),\n reduce,\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = [];\n\n all_groups.forEach((d, i) => {\n const n = all_groups.length;\n\n const rule = {\n transform: [{ filter: d.filter }],\n name: `rule_${d.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? d.rule_start\n : {\n expr: `${i + 1} * (width / ${n + 1}) - (width / ${n + 1}) * 0.35`,\n },\n x2: hasFacet\n ? d.rule_end\n : {\n expr: `${i + 1} * (width / ${n + 1}) + (width / ${n + 1}) * 0.35`,\n },\n },\n encoding: {\n y: {\n field: hasFacet ? \"y_mean_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: \"mean\",\n axis: null,\n scale: { domain },\n },\n },\n };\n\n rules.push(rule);\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n x: {\n ...source.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Generates a spec for min and max animations\n * @param {Object} source source spec\n * @param {Object} target target spec\n * @param {String} minOrMax \"min\" or \"max\"\n * @returns a vega lite spec\n */\nexport const getMinMaxStep = (source, target, minOrMax = \"min\") => {\n const { width, height } = target.spec || target;\n const aggrFn = minOrMax === \"min\" ? d3.min : d3.max;\n const domain = source.encoding.y.scale.domain;\n const groupKeys = [CONF.X_FIELD];\n const hasFacet = source.meta.hasFacet;\n const meta = source.meta;\n\n const values = [];\n\n if (hasFacet) {\n if (meta.columnFacet) {\n groupKeys.push(meta.columnFacet.field);\n }\n\n if (meta.rowFacet) {\n groupKeys.push(meta.rowFacet.field);\n }\n }\n\n const all_groups = [];\n\n d3.rollup(\n source.data.values.slice(),\n (data) => {\n const groupValue = data[0][CONF.X_FIELD];\n let filter = `datum['${CONF.X_FIELD}'] === ${groupValue}`;\n let groupId = groupValue;\n\n if (hasFacet) {\n filter += \" && \";\n groupId += \"_\";\n\n if (meta.columnFacet) {\n filter += `datum['${meta.columnFacet.field}'] === '${\n data[0][meta.columnFacet.field]\n }'`;\n groupId += data[0][meta.columnFacet.field];\n }\n\n if (meta.columnFacet && meta.rowFacet) {\n filter += \" && \";\n groupId += \"_\";\n }\n\n if (meta.rowFacet) {\n filter += `datum['${meta.rowFacet.field}'] === '${\n data[0][meta.rowFacet.field]\n }'`;\n groupId += data[0][meta.rowFacet.field];\n }\n }\n\n const aggr = aggrFn(data, (d) => {\n return hasFacet ? d.oldY : d[CONF.Y_FIELD];\n });\n const aggr_pos = hasFacet ? data[0].scaleY(aggr) : aggr;\n\n all_groups.push({\n filter,\n groupValue,\n groupKey: CONF.X_FIELD,\n aggr,\n aggr_pos,\n groupId,\n rule_start: d3.min(data, (d) => d[CONF.X_FIELD] - 2),\n rule_end: d3.max(data, (d) => d[CONF.X_FIELD] + 2),\n });\n\n const g = data.find((d) => {\n const v = hasFacet ? d.oldY : d[CONF.Y_FIELD];\n return v === aggr;\n });\n\n values.push(\n ...data.map((d) => {\n const isAggr = g && g.gemini_id === d.gemini_id;\n\n return {\n ...d,\n isAggr,\n aggr_pos,\n };\n })\n );\n },\n ...groupKeys.map((key) => {\n return (d) => d[key];\n })\n );\n\n const rules = all_groups.map((group, i) => {\n const n = all_groups.length;\n return {\n transform: [{ filter: group.filter }],\n name: `rule_${group.groupId}`,\n mark: {\n type: \"rule\",\n x: hasFacet\n ? group.rule_start\n : { expr: `${i + 1} * (width / ${n + 1}) - 5` },\n x2: hasFacet\n ? group.rule_end\n : { expr: `${i + 1} * (width / ${n + 1}) + 5` },\n },\n encoding: {\n y: {\n field: hasFacet ? \"aggr_pos\" : CONF.Y_FIELD,\n type: \"quantitative\",\n aggregate: minOrMax,\n axis: null,\n scale: { domain },\n },\n },\n };\n });\n\n return {\n $schema: CONF.SCHEME,\n width,\n height,\n meta: {\n all_groups,\n },\n data: {\n name: \"source\",\n values: values,\n },\n layer: [\n {\n name: \"main\",\n mark: source.mark,\n encoding: {\n ...source.encoding,\n },\n },\n ...rules,\n ],\n resolve: { axis: { y: \"independent\" } },\n };\n};\n\n/**\n * Configuration for custom animations.\n * When meta.custom_animation is present, \n * it looks up a function here and generates custom animation specifications\n */\nexport const CustomAnimations = {\n /**\n * steps:\n * 1) stack sets\n * 2) put rules (lines) using aggregate count\n * 3) replace with count bubbles (aggregate count) (basically target spec)\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n count: async (rawSource, target) => {\n const stacks = await getGridSpec(rawSource, 10, true);\n delete stacks.encoding.y.axis;\n const rules = getCountStep(rawSource, target, false);\n const pullUp = getCountStep(rawSource, target, true);\n return [stacks, rules, pullUp, target];\n },\n /**\n * min animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at min circle\n * 3) pull circles down\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n min: (rawSource, target) => {\n const step_1 = getMinMaxStep(rawSource, target, \"min\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"min\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * max animation steps:\n * 1) source spec\n * 2) stack sets, with a rule line at max circle\n * 3) pull circles up\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n max: (rawSource, target, source) => {\n const step_1 = getMinMaxStep(rawSource, target, \"max\");\n\n const step_2 = {\n ...step_1,\n transform: [{ filter: \"datum.isAggr === true\" }],\n layer: [\n {\n ...step_1.layer[0],\n encoding: {\n ...step_1.layer[0].encoding,\n y: {\n ...step_1.layer[0].encoding.y,\n aggregate: \"max\",\n },\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n\n return [rawSource, step_1, step_2, target];\n },\n /**\n * mean animation steps:\n * 1) source spec\n * 2) intermediate: circles will be placed diagonally \"/\" \n * 3) add lines (rules) at mean level\n * 4) convert circles to small ticks\n * 5) show vertical lines\n * 6) collapse the lines to mean level\n * 7) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n mean: (rawSource, target) => {\n const step_1 = getMeanStep(rawSource, target);\n\n const barWidth = 2;\n\n const step_2 = {\n ...step_1,\n layer: [\n {\n name: \"main\",\n mark: { type: \"tick\", orient: \"horizontal\", width: barWidth },\n encoding: {\n y: {\n ...rawSource.encoding.y,\n },\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos_start\",\n },\n x2: {\n field: CONF.X_FIELD + \"_pos_end\",\n },\n color: rawSource.encoding.color\n },\n },\n ...step_1.layer.slice(1),\n ],\n };\n const step_3 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n const step_4 = {\n ...step_2,\n layer: [\n {\n ...step_2.layer[0],\n mark: {\n type: \"bar\",\n width: barWidth,\n },\n encoding: {\n ...step_2.layer[0].encoding,\n y: {\n ...step_2.layer[0].encoding.y,\n field: \"y_mean_pos\",\n },\n y2: {\n field: \"y_mean_pos\",\n },\n },\n },\n ...step_2.layer.slice(1),\n ],\n };\n\n const intermediate = {\n ...rawSource,\n data: {\n values: step_1.data.values,\n },\n encoding: {\n ...rawSource.encoding,\n x: {\n ...rawSource.encoding.x,\n field: CONF.X_FIELD + \"_pos\",\n },\n },\n };\n\n return [rawSource, intermediate, step_1, step_2, step_3, step_4, target];\n },\n /**\n * median and quantile animation steps:\n * 1) source spec\n * 2) show rules at the top and bottom\n * 3) split circles by median and move to the right and left and move rules to median level\n * 4) target spec\n * @param {Object} rawSource source spec\n * @param {Object} target target spec\n * @returns an array of vega-lite specs\n */\n median: (rawSource, target, calculatedSource, p) => {\n const percent = (p === undefined || p === null) ? 0.5 : p;\n const initial = getMedianStep(rawSource, target, 0, percent);\n const last_with_points = getMedianStep(rawSource, target, null, percent);\n\n return [\n rawSource,\n initial,\n last_with_points,\n target\n ];\n },\n};\n","/**\n * Hack faceted view since gemini.js does not support multi view animations\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\n\n/**\n * Get empty spec, if no data is present\n * @param {Object} spec \n * @returns vega-lite spec\n */\nexport function getEmptySpec(spec) {\n const description = spec.meta.description;\n const splitField = spec.meta.splitField;\n\n return {\n $scheme: CONF.SCHEME,\n width: 300,\n height: 300,\n meta: {\n description,\n axes: false,\n },\n data: {\n values: [\n {\n [CONF.X_FIELD]: 0,\n [CONF.Y_FIELD]: 0,\n },\n ],\n },\n mark: {\n type: \"point\",\n filled: true,\n strokeWidth: 1,\n color: \"transparent\",\n },\n encoding: {\n x: {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: splitField,\n domain: false,\n values: [],\n },\n },\n y: {\n field: CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {\n domain: [-5, 5],\n },\n axis: {\n grid: false,\n ticks: false,\n title: null,\n domain: false,\n values: [],\n },\n },\n },\n };\n}\n\n/**\n * Creates and returns a template for vega spec\n * @param {Number} width spec width\n * @param {Number} height spec height\n * @param {Object} axes which axes to add\n * @param {Object} spec original spec\n * @returns vega-lite spec\n */\nexport function getSpecTemplate(width, height, axes = { x: true, y: true }, spec) {\n const encoding = spec.spec.encoding;\n const mark = spec.spec.mark;\n const facet = spec.facet;\n\n if (encoding.x) {\n const title = facet && facet.column ? facet.column.title : null;\n\n encoding.x = {\n field: CONF.X_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.x\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n orient: \"top\",\n ticks: false,\n domain: false,\n labelPadding: 10,\n }\n : null,\n };\n }\n\n if (encoding.y) {\n const title = facet && facet.row ? facet.row.title : null;\n\n encoding.y = {\n field: spec.spec.mark === \"errorbar\" ? encoding.y.field : CONF.Y_FIELD,\n type: \"quantitative\",\n scale: {},\n axis: axes.y\n ? {\n labelExpr: \"\",\n values: [],\n title: title,\n grid: false,\n labelAngle: 90,\n domain: false,\n ticks: false,\n labelPadding: 10,\n orient: \"right\",\n }\n : null,\n };\n }\n\n const additionals = {};\n\n if (spec.transform) {\n additionals.transform = spec.transform;\n }\n\n return {\n $schema: CONF.SCHEME,\n data: {\n values: [],\n },\n width: width,\n height: height,\n mark: mark,\n encoding: encoding,\n ...additionals,\n };\n}\n\n/**\n * Get hacked spec\n * Finding coordinates of each circle and treat them as real values in the one axis view \n * Adding axis layer underneath to look exactly same as faceted view\n * @param {Object} param0 parameters\n * @param {Object} param0.view a vega view instance\n * @param {Object} param0.spec a vega spec\n * @param {Object} param0.width spec width\n * @param {Object} param0.height spec height\n * @returns vega-lite spec\n */\nexport function getHackedSpec({ view, spec, width = 600, height = 600 }) {\n const rowId = spec.facet.row ? spec.facet.row.field : null;\n const colId = spec.facet.column ? spec.facet.column.field : null;\n\n const newSpec = getSpecTemplate(\n width,\n height,\n {\n x: colId,\n y: rowId,\n },\n spec\n );\n\n const yDomain = [height, 0];\n const xDomain = [0, width];\n\n const values = [];\n\n const colMap = new Map();\n const rowMap = new Map();\n\n const scaleX = view.scale(\"x\");\n const scaleY = view.scale(\"y\");\n const source = view.data(\"source\");\n\n let row_header, column_header;\n\n // y axis\n if (rowId && (row_header = view.data(\"row_header\"))) {\n const yAxisValues = [];\n const yAxisExpr = {};\n\n row_header.forEach((d, i) => {\n const bounds = d.bounds;\n const name = d.datum[rowId];\n const y1 = bounds.y1;\n const y2 = bounds.y2;\n\n rowMap.set(name, y1);\n\n const yCoord = Math.round(y1 + (y2 - y1) / 2);\n\n yAxisValues.push(yCoord);\n yAxisExpr[yCoord] = name;\n });\n\n yDomain[1] = d3.min(row_header, (d) => d.bounds.y1);\n yDomain[0] = d3.max(row_header, (d) => d.bounds.y2);\n\n newSpec.encoding.y.axis.values = yAxisValues;\n newSpec.encoding.y.axis.labelExpr = `${JSON.stringify(\n yAxisExpr\n )}[datum.label]`;\n }\n\n // x axis\n if (colId && (column_header = view.data(\"column_header\"))) {\n const xAxisValues = [];\n const xAxisExpr = {};\n\n column_header.forEach((d, i) => {\n const bounds = d.bounds;\n\n const name = d.datum[colId];\n colMap.set(name, bounds.x1);\n\n const xCoord = Math.round(bounds.x1 + (bounds.x2 - bounds.x1) / 2);\n\n xAxisValues.push(xCoord);\n xAxisExpr[xCoord] = name;\n });\n\n xDomain[0] = d3.min(column_header, (d) => d.bounds.x1);\n xDomain[1] = d3.max(column_header, (d) => d.bounds.x2);\n\n newSpec.encoding.x.axis.values = xAxisValues;\n newSpec.encoding.x.axis.labelExpr = `${JSON.stringify(\n xAxisExpr\n )}[datum.label]`;\n }\n\n // generating data.values\n source.forEach((d) => {\n const col = d[colId];\n const row = d[rowId];\n\n const xStart = colMap.get(col) || 0;\n const yStart = rowMap.get(row) || 0;\n\n const xField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"x\" : CONF.X_FIELD;\n const yField = spec.meta.parse === META_PARSE_VALUES.jitter ? \"y\" : CONF.Y_FIELD;\n\n const xCoord = xStart + scaleX(d[xField]);\n\n values.push({\n ...d,\n [CONF.X_FIELD]: xCoord,\n [CONF.Y_FIELD]: yStart + scaleY(d[yField]),\n [CONF.X_FIELD + \"_num\"]: d.scaledX ? xStart + scaleX(d.scaledX) : xCoord,\n scaleX: (val) => yStart + scaleX(val),\n scaleY: (val) => yStart + scaleY(val),\n });\n });\n\n newSpec.encoding.x.scale.domain = xDomain;\n newSpec.encoding.y.scale.domain = yDomain;\n newSpec.data.values = values;\n newSpec.width = xDomain[1] - xDomain[0];\n newSpec.height = yDomain[0] - yDomain[1];\n\n return newSpec;\n}\n\n/**\n * turns faceted spec to regular spec, using hacking technique\n * @param {Object} spec vega lite spec with facets\n * @returns vega-lite spec\n */\nexport function hackFacet(spec) {\n const div = document.createElement(\"div\");\n\n spec.data.name = \"source\";\n\n return vegaEmbed(div, spec, { renderer: \"svg\" }).then((resp) => {\n const newSpec = getHackedSpec({\n ...resp,\n width: spec.spec.width,\n height: spec.spec.height,\n });\n\n if (spec.config) {\n newSpec.config = spec.config;\n }\n\n if (spec.meta) {\n newSpec.meta = spec.meta;\n }\n\n let [transformX, transformY] = resp.view._origin;\n\n if (!(spec.facet && spec.facet.row && !spec.facet.column)) {\n transformY = 0;\n }\n\n if (newSpec.meta) {\n newSpec.meta.transformX = transformX;\n newSpec.meta.transformY = transformY;\n } else {\n newSpec.meta = { transformX, transformY };\n }\n\n return newSpec;\n });\n}\n","/**\n * Entry point of Datamations JavaScript code\n * Reads vega-lite specifications, converts to vega specs and animates them\n *\n * ### Dependencies:\n * - gemini: https://github.com/uwdata/gemini\n * - vega-lite: https://vega.github.io/vega-lite/\n * - vega: https://vega.github.io/vega/\n * - vega-embed: https://github.com/vega/vega-embed\n * - d3: https://d3js.org/\n * - gifshot: https://github.com/yahoo/gifshot\n * - html2canvas: https://html2canvas.hertzen.com/\n * - download2: http://danml.com/download.html\n */\n\nimport { CONF, META_PARSE_VALUES } from \"./config.js\";\nimport { getSelectors, splitLayers, getRows } from \"./utils.js\";\nimport { hackFacet, getEmptySpec } from \"./hack-facet-view.js\";\nimport { getGridSpec, getJitterSpec } from \"./layout.js\";\nimport { CustomAnimations } from \"./custom-animations.js\";\n\n/**\n *\n * @param {String} id conteiner id\n * @param {Object} param1 configuration object\n * @param {Array} param1.specs list of vega-lite specifications\n * @param {Boolean} param1.autoPlay autoPlay\n * @param {Number} param1.frameDel frame duration (in ms.)\n * @param {Number} param1.frameDel delay between frames (in ms.)\n * @returns an object of exposed functions\n */\nexport default function App(id, { specs, autoPlay = false, frameDur, frameDel }) {\n let rawSpecsImmutable; // saving passed specs here, not changed by reference\n let rawSpecs; // holds raw vega-lite specs, not transformed\n let vegaLiteSpecs;\n let vegaSpecs; // vega specs\n let frames;\n let metas;\n let frameIndex = 0;\n let timeoutId;\n let playing = false;\n let initializing = false;\n let frameDuration = frameDur || 2000;\n let frameDelay = frameDel || 1000;\n\n // a fallback gemini spec in case gemini.animate could not recommend anything\n const gemSpec = {\n timeline: {\n concat: [\n {\n sync: [\n {\n component: {\n mark: \"marks\",\n },\n change: {\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: false,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n },\n ],\n },\n ],\n },\n totalDuration: frameDuration,\n };\n\n /**\n * Resets all the instance variables to be able to re-run animation\n */\n const reset = () => {\n vegaLiteSpecs = [];\n vegaSpecs = [];\n rawSpecs = [];\n rawSpecsImmutable = [];\n frames = [];\n metas = [];\n frameIndex = 0;\n playing = false;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n timeoutId = null;\n }\n };\n\n /**\n * Initializes datamation app\n */\n async function init() {\n // ignore all subsequent init calls.\n if (initializing) return;\n initializing = true;\n\n const { slider } = getSelectors(id);\n\n reset();\n\n // load or set data\n if (specs) {\n vegaLiteSpecs = JSON.parse(JSON.stringify(specs));\n }\n\n // save raw specs to use for facet axes drawing\n vegaLiteSpecs.forEach((d) => {\n rawSpecs.push(JSON.parse(JSON.stringify(d)));\n rawSpecsImmutable.push(JSON.parse(JSON.stringify(d)));\n\n if (d.meta) {\n metas.push(d.meta);\n }\n });\n\n d3.select(slider).property(\"max\", vegaLiteSpecs.length - 1);\n\n // parse, jitter, layer splitting\n await transformSpecs();\n\n // compile to vega\n toVegaSpecs();\n\n // create frames for animation\n await makeFrames();\n\n drawSpec(0);\n\n if (autoPlay) {\n setTimeout(play, 100);\n }\n\n initializing = false;\n }\n\n /**\n * Plays animation\n */\n function play(cb = () => {}) {\n playing = true;\n frameIndex = 0;\n\n const tick = () => {\n animateFrame(frameIndex, cb).then(() => {\n if (playing) {\n frameIndex++; // next frame\n\n if (frames[frameIndex]) {\n tick();\n } else {\n playing = false;\n disableEnable(\"enable\");\n }\n }\n });\n\n if (typeof HTMLWidgets !== \"undefined\" && HTMLWidgets.shinyMode) {\n var prevIndex = frameIndex - 1;\n Shiny.onInputChange(\"slider_state\", prevIndex);\n }\n };\n\n disableEnable(\"disable\");\n tick();\n }\n\n /**\n * Draws vega lite spec statically (without transition), also updates slider, description, show/hides some layers\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawSpec(index, vegaSpec) {\n let spec = vegaLiteSpecs[index];\n\n if (!spec) return;\n\n if (spec.custom) {\n spec = gemini.vl2vg4gemini(spec.sequence[spec.sequence.length - 1]);\n }\n\n const meta = metas[index];\n\n const {\n axisSelector,\n visSelector,\n descr,\n slider,\n otherLayers,\n controls,\n exportWrap,\n } = getSelectors(id);\n\n d3.select(slider).property(\"value\", index);\n d3.select(descr).html(meta.description || \"frame \" + index);\n d3.select(axisSelector)\n .style(\"opacity\", meta.axes ? 1 : 0)\n .html(\"\");\n d3.select(visSelector).classed(\"with-axes\", meta.axes);\n d3.select(otherLayers).classed(\"with-axes\", meta.axes);\n\n // draw axis\n if (meta.axes) {\n drawAxis(index);\n }\n\n const transformX = meta.transformX || 0;\n const transformY = meta.transformY || 0;\n\n // shift vis\n d3.select(visSelector)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n const _width = spec.width + transformX + 10;\n d3.select(controls).style(\"width\", _width + \"px\");\n d3.select(descr).style(\"width\", _width + \"px\");\n\n // draw vis\n return drawChart(spec, vegaSpec && vegaSpec.custom ? null : vegaSpec);\n }\n\n /**\n * Draws a chart, either spec or vegaSpec (which is passed from animate function)\n * Supports single view as well as multiple view chart\n * @param {Object} spec vega-lite spec\n * @param {Object} vegaSpec source vega spec of current frame\n * @returns a promise of vegaEmbed\n */\n function drawChart(spec, vegaSpec) {\n const { visSelector, otherLayers } = getSelectors(id);\n const layers = document.querySelector(otherLayers);\n layers.innerHTML = \"\";\n\n if (Array.isArray(spec)) {\n return new Promise((res) => {\n spec.forEach((s, i) => {\n let target,\n embedSpec = s;\n\n if (s.meta.animated) {\n target = visSelector;\n if (vegaSpec) {\n embedSpec = vegaSpec;\n }\n } else {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n layers.appendChild(div);\n target = div;\n }\n\n vegaEmbed(target, embedSpec, { renderer: \"svg\" }).then(() => {\n if (i === spec.length - 1) {\n res();\n }\n\n // ensure facet translations match in axisSelector and otherLayers\n setTimeout(() => {\n adjustAxisAndErrorbars();\n }, 100);\n });\n });\n });\n } else {\n return vegaEmbed(visSelector, vegaSpec || spec, { renderer: \"svg\" });\n }\n }\n\n /**\n * Fixes hacked axis spec and error bar alignment\n */\n function adjustAxisAndErrorbars() {\n const { axisSelector, otherLayers } = getSelectors(id);\n const axisCells = d3\n .select(axisSelector)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n const otherLayersCells = d3\n .select(otherLayers)\n .selectAll(\".mark-group.cell>g\")\n .nodes();\n\n if (axisCells.length === otherLayersCells.length) {\n for (let i = 0; i < axisCells.length; i++) {\n const transform = axisCells[i].getAttribute(\"transform\");\n otherLayersCells[i].setAttribute(\"transform\", transform);\n }\n }\n }\n\n /**\n * Draws an axis layer. This is called when meta.axes = true.\n * @param {Number} index specification index in vegaLiteSpecs\n * @returns a promise of vegaEmbed\n */\n function drawAxis(index) {\n let spec = rawSpecs[index];\n\n if (spec.spec && spec.spec.layer) {\n const split = splitLayers(spec);\n spec = split[1];\n }\n\n const columnFacet = spec.facet && spec.facet.column;\n const { axisSelector, controls, descr, otherLayers } = getSelectors(id);\n\n // update axis domain to matched hacked facet view\n const encoding = spec.spec ? spec.spec.encoding : spec.encoding;\n\n if (!encoding.y.scale) {\n const extentY = d3.extent(spec.data.values, (d) => d[CONF.Y_FIELD]);\n encoding.y.scale = { domain: extentY };\n }\n\n if (encoding.color) {\n encoding.color.legend = null;\n }\n\n if (encoding.fill) {\n encoding.fill.legend = null;\n }\n\n if (encoding.x && encoding.x.axis) {\n encoding.x.axis.labelAngle = -90;\n encoding.x.axis.titleOpacity = 0;\n }\n\n return vegaEmbed(axisSelector, spec, { renderer: \"svg\" }).then(() => {\n if (columnFacet && columnFacet.title) {\n const fn = function () {\n const transform = d3.select(this).attr(\"transform\");\n const x = transform.split(\"(\")[1].split(\",\")[0];\n return `translate(${x}, 40)`;\n };\n\n d3.select(axisSelector + \" svg > g\").attr(\"transform\", fn);\n d3.select(otherLayers + \" svg > g\").attr(\"transform\", fn);\n }\n const width = d3\n .select(axisSelector)\n .node()\n .getBoundingClientRect().width;\n d3.select(controls).style(\"width\", width + \"px\");\n d3.select(descr).style(\"width\", width + \"px\");\n });\n }\n\n /**\n * Animates a frame, from source to target vega specification using gemini\n * @param {Number} index specification index in vegaLiteSpecs\n * @param {Function} cb callback function of each frame drawal\n * @returns a promise of gemini.animate\n */\n async function animateFrame(index, cb) {\n if (!frames[index]) return;\n\n console.log(\"animating frame\", index);\n\n const { axisSelector, visSelector, otherLayers, descr, slider, controls } =\n getSelectors(id);\n\n let { source, target, gemSpec, prevMeta, currMeta } = frames[index];\n let anim = null;\n\n if (source.custom) {\n const _source_spec = gemini.vl2vg4gemini(\n source.sequence[source.sequence.length - 1]\n );\n anim = await gemini.animate(_source_spec, target, gemSpec);\n } else if (target.custom) {\n anim = await gemini.animateSequence(target.sequence, gemSpec);\n } else {\n anim = await gemini.animate(source, target, gemSpec);\n }\n\n let currHasAxes = currMeta.axes;\n let width = target.width;\n\n if (timeoutId) {\n clearTimeout(timeoutId);\n }\n\n // initial frame\n if (index === 0 && cb) cb(0);\n\n return new Promise((res) => {\n drawSpec(index, source).then(() => {\n timeoutId = setTimeout(() => {\n d3.select(descr).html(currMeta.description);\n anim.play(visSelector).then(() => {\n d3.select(slider).property(\"value\", index + 1);\n cb && cb(index + 1);\n res();\n });\n\n const transformX = currMeta.transformX || 0;\n const transformY = currMeta.transformY || 0;\n\n d3.select(visSelector)\n .transition()\n .duration(750)\n .style(\"left\", transformX + \"px\")\n .style(\"top\", transformY + \"px\");\n\n // show/hide axis vega chart\n if (currHasAxes) {\n drawAxis(index + 1);\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 1);\n d3.select(visSelector).classed(\"with-axes\", true);\n d3.select(otherLayers).classed(\"with-axes\", true);\n } else {\n d3.select(axisSelector)\n .transition()\n .duration(1000)\n .style(\"opacity\", 0);\n d3.select(visSelector).classed(\"with-axes\", false);\n d3.select(otherLayers).classed(\"with-axes\", false);\n d3.select(controls).style(\"width\", width + transformX + 10 + \"px\");\n d3.select(descr).style(\"width\", width + transformX + 10 + \"px\");\n }\n\n const nextSpec = vegaLiteSpecs[index + 1];\n\n if (nextSpec && Array.isArray(nextSpec)) {\n const statics = nextSpec.filter((d) => !d.meta.animated);\n\n d3.select(otherLayers)\n .html(\"\")\n .style(\"opacity\", 0)\n .transition()\n // .delay(frameDuration / 3)\n .duration(frameDuration / 2)\n .style(\"opacity\", 1);\n\n statics.forEach((s) => {\n const div = document.createElement(\"div\");\n div.classList.add(\"vega-hidden-layer\");\n vegaEmbed(div, s, { renderer: \"svg\" }).then(() => {\n adjustAxisAndErrorbars();\n });\n document.querySelector(otherLayers).appendChild(div);\n });\n } \n }, \n // removed delay between frames for custom animations\n target.custom ? 0 : frameDelay);\n });\n });\n }\n\n /**\n * Transforms specifications into proper format:\n * - meta.grid = generates infogrid\n * - meta.jitter = jitters data using d3.forceCollide\n * - meta.custom_animation = handles custom animation type\n * - spec.layer = splits layers to stack on top on each other\n */\n async function transformSpecs() {\n const rows = getRows(vegaLiteSpecs);\n\n for (let i = 0; i < vegaLiteSpecs.length; i++) {\n let vlSpec = vegaLiteSpecs[i];\n\n if (Array.isArray(vlSpec)) continue; // just sanity check, making sure that it is not an array\n\n // if filter has empty `oneOf`, then generate empty spec and avoid any further processing\n if (\n vlSpec.transform &&\n vlSpec.transform[0].filter &&\n vlSpec.transform[0].filter.oneOf &&\n vlSpec.transform[0].filter.oneOf.length === 0\n ) {\n const emptySpec = getEmptySpec(vlSpec);\n\n metas[i] = emptySpec.meta;\n rawSpecs[i] = emptySpec;\n vlSpec = emptySpec;\n vegaLiteSpecs[i] = emptySpec;\n continue;\n }\n\n const meta = vlSpec.meta;\n const parse = meta.parse;\n\n // parsing\n\n if (meta.custom_animation) {\n let funName = meta.custom_animation;\n let p = null;\n\n // handle quantile\n if (\n Array.isArray(meta.custom_animation) &&\n meta.custom_animation[0] === \"quantile\"\n ) {\n p = meta.custom_animation[1];\n funName = \"median\";\n }\n\n let source = {\n ...rawSpecs[i - 1],\n data: rawSpecsImmutable[i - 1].data,\n };\n let target = vlSpec;\n\n if (rawSpecsImmutable[i - 1].facet) {\n source = {\n ...vegaLiteSpecs[i - 1],\n meta: {\n ...vegaLiteSpecs[i - 1].meta,\n hasFacet: true,\n columnFacet: rawSpecsImmutable[i - 1].facet.column,\n rowFacet: rawSpecsImmutable[i - 1].facet.row,\n },\n data: {\n values: vegaLiteSpecs[i - 1].data.values.map((d) => {\n return {\n ...d,\n [CONF.X_FIELD]: d[CONF.X_FIELD + \"_num\"],\n };\n }),\n },\n };\n }\n\n // if custom animations have facets, fake them before passing to CustomAnimation\n if (vegaLiteSpecs[i].facet) {\n const newSpecTarget = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpecTarget;\n target = newSpecTarget;\n }\n\n const fn = CustomAnimations[funName];\n\n if (fn) {\n const sequence = await fn(source, target, vegaLiteSpecs[i - 1], p);\n vegaLiteSpecs[i] = {\n custom: meta.custom_animation,\n sequence,\n };\n }\n } else if (parse === META_PARSE_VALUES.grid) {\n const gridSpec = await getGridSpec(vlSpec, rows);\n\n const enc = gridSpec.spec ? gridSpec.spec.encoding : gridSpec.encoding;\n rawSpecs[i].data.values = gridSpec.data.values;\n\n // update domain for raw spec axis layer\n if (rawSpecs[i].meta.axes && rawSpecs[i].meta.splitField) {\n const encoding = rawSpecs[i].spec\n ? rawSpecs[i].spec.encoding\n : rawSpecs[i].encoding;\n\n encoding.x.axis = enc.x.axis;\n encoding.y.scale = {\n domain: enc.y.scale.domain,\n };\n encoding.x.scale = {\n domain: enc.x.scale.domain,\n };\n }\n\n vegaLiteSpecs[i] = gridSpec;\n } \n else if (parse === META_PARSE_VALUES.jitter) {\n vegaLiteSpecs[i] = await getJitterSpec(vlSpec);\n } \n // since gemini does not support multiple multiple axis transitions, \n // we must split the layers and draw as separate vega spec\n else if (vlSpec.layer || (vlSpec.spec && vlSpec.spec.layer)) {\n const arr = splitLayers(vlSpec);\n\n vegaLiteSpecs[i] = [];\n\n for (let j = 0; j < arr.length; j++) {\n const s = arr[j];\n\n // fake facets\n if (s.facet && s.spec && s.meta.animated) {\n const newSpec = await hackFacet(s);\n vegaLiteSpecs[i].push(newSpec);\n metas[i] = newSpec.meta;\n } else {\n vegaLiteSpecs[i].push(s);\n }\n }\n }\n\n if (vegaLiteSpecs[i]) {\n const facet = vegaLiteSpecs[i].facet;\n const spec = vegaLiteSpecs[i].spec;\n\n // fake facets\n if (facet && spec) {\n const newSpec = await hackFacet(vegaLiteSpecs[i]);\n vegaLiteSpecs[i] = newSpec;\n }\n }\n }\n\n console.log(\"parsed specs:\", vegaLiteSpecs);\n }\n\n /**\n * Converts vega-lite specs to vega specs using vl2vg4gemini (https://github.com/uwdata/gemini#vl2vg4gemini)\n */\n function toVegaSpecs() {\n vegaSpecs = vegaLiteSpecs.map((d) => {\n if (d.custom) {\n return d;\n }\n\n const s = Array.isArray(d) ? d.find((d) => d.meta.animated) : d;\n return gemini.vl2vg4gemini(s);\n });\n }\n\n /**\n * Generates animation frames\n * @returns array of objects of \\{ source, target, gemSpec, prevMeta, currMeta \\}\n */\n async function makeFrames() {\n const options = {\n stageN: 1,\n\n scales: {\n x: {\n domainDimension: \"diff\",\n },\n y: {\n domainDimension: \"diff\",\n },\n },\n\n marks: {\n marks: {\n change: {\n scale: [\"x\", \"y\"],\n data: {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n },\n encode: {\n update: true,\n enter: true,\n exit: true,\n },\n },\n },\n },\n totalDuration: frameDuration,\n };\n\n for (let i = 1; i < vegaSpecs.length; i++) {\n const prev = vegaSpecs[i - 1];\n const curr = vegaSpecs[i];\n\n const prevMeta = metas[i - 1];\n const currMeta = metas[i];\n\n try {\n let resp = null;\n\n if (curr.custom) {\n resp = await gemini.recommendForSeq(curr.sequence, {\n ...options,\n stageN: curr.sequence.length - 1,\n totalDuration: frameDuration * 2,\n });\n\n const _gemSpec = resp[0].specs.map((d) => d.spec);\n\n // make sure to add gemini_id to data change.\n // gemini recommend does not add it by itself.\n _gemSpec.forEach((d) => {\n if (d.timeline.concat.length) {\n const first = d.timeline.concat[0].sync[0];\n if (first && first.change && first.change.data) {\n first.change.data = {\n keys: [\"gemini_id\"],\n update: true,\n enter: true,\n exit: true,\n };\n }\n }\n });\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n } else {\n resp = await gemini.recommend(\n prev.custom\n ? gemini.vl2vg4gemini(prev.sequence[prev.sequence.length - 1])\n : prev,\n curr,\n options\n );\n\n const _gemSpec = resp[0] ? resp[0].spec : gemSpec;\n const sync = _gemSpec.timeline.concat[0].sync;\n\n if (!sync.some((d) => d.component === \"view\")) {\n sync.push({\n component: \"view\",\n change: {\n signal: [\"width\", \"height\"],\n },\n timing: {\n duration: {\n ratio: 1,\n },\n },\n });\n }\n\n frames.push({\n source: prev,\n target: curr,\n gemSpec: _gemSpec,\n prevMeta,\n currMeta,\n });\n }\n } catch (error) {\n console.error(error);\n }\n }\n }\n\n /**\n * Slider on change callback\n */\n function onSlide() {\n playing = false;\n disableEnable(\"enable\");\n const { slider } = getSelectors(id);\n const index = document.querySelector(slider).value;\n drawSpec(index);\n }\n\n /**\n * Exports png files for each frame\n */\n function exportPNG() {\n const { exportWrap } = getSelectors(id);\n\n const pngs = [];\n\n const callback = (index) => {\n const done = index >= frames.length;\n\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n pngs.push(canvas.toDataURL());\n\n if (done) {\n pngs.forEach((uri, i) => {\n var a = document.createElement(\"a\");\n a.href = uri;\n a.download = `frame-${i + 1}.png`;\n a.click();\n });\n }\n });\n };\n\n play(callback);\n }\n\n /**\n * Exports datamation as gif.\n * @param {Boolean} fromWeb truthy if it is called from webpage, falsy from command line tool\n * @returns either base64 string, or downloads .gif file\n */\n function exportGif(fromWeb) {\n const { exportWrap, exportBtn } = getSelectors(id);\n\n if (fromWeb) {\n loaderOnOff(true);\n disableEnable(\"disable\", { slider: true });\n }\n\n let intervalId,\n images = [];\n\n const startInterval = () => {\n if (intervalId) clearInterval(intervalId);\n\n intervalId = setInterval(() => {\n html2canvas(document.querySelector(exportWrap)).then((canvas) => {\n images.push(canvas.toDataURL());\n });\n }, 16.66666);\n };\n\n let maxWidth = 300;\n let maxHeight = 300;\n\n return new Promise((res) => {\n const callback = (index) => {\n const done = index >= frames.length;\n const bound = document\n .querySelector(exportWrap)\n .getBoundingClientRect();\n\n if (bound.width > maxWidth) maxWidth = bound.width;\n if (bound.height > maxHeight) maxHeight = bound.height;\n\n if (done) {\n intervalId && clearInterval(intervalId);\n\n setTimeout(() => {\n gifshot.createGIF(\n {\n images,\n gifWidth: maxWidth,\n gifHeight: maxHeight,\n frameDuration: 2.5,\n },\n function (obj) {\n if (fromWeb) {\n loaderOnOff(false);\n disableEnable(\"enable\", { slider: true });\n }\n\n if (!obj.error) {\n var image = obj.image;\n\n if (fromWeb) {\n download(image, \"animation.gif\", \"image/gif\");\n }\n res(image);\n } else {\n console.error(\"error creating gif\", obj.errorMsg);\n }\n }\n );\n }, 1000);\n } else {\n intervalId && clearInterval(intervalId);\n setTimeout(startInterval, frameDelay);\n }\n };\n\n play(callback);\n });\n }\n\n /**\n * Disables or enables some components\n * @param {String} cmd \"disable\" or \"enable\"\n * @param {Array} components array of components\n */\n function disableEnable(cmd, components) {\n const { replayBtn, exportBtn, slider } = getSelectors(id);\n const arr = [replayBtn, exportBtn];\n\n if (components && components.slider) {\n arr.push(slider);\n }\n\n arr.forEach((sel) => {\n const el = document.querySelector(sel);\n\n if (cmd == \"disable\") {\n el.setAttribute(\"disabled\", \"disabled\");\n } else {\n el.removeAttribute(\"disabled\");\n }\n });\n }\n\n /**\n * Download button icon adjustment\n * @param {Boolean} loading\n */\n function loaderOnOff(loading) {\n const { exportBtn } = getSelectors(id);\n let className = \"fas fa-download\";\n\n if (loading) {\n className = \"fas fa-spinner spin\";\n }\n\n d3.select(exportBtn).select(\"i\").attr(\"class\", className);\n }\n\n init();\n\n return {\n onSlide,\n play,\n exportPNG,\n exportGif,\n animateFrame,\n getFrames: () => frames,\n 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\ No newline at end of file diff --git a/inst/htmlwidgets/js/src/scripts/app.js b/inst/htmlwidgets/js/src/scripts/app.js index 224d3180..0f06fd4e 100644 --- a/inst/htmlwidgets/js/src/scripts/app.js +++ b/inst/htmlwidgets/js/src/scripts/app.js @@ -13,11 +13,11 @@ * - download2: http://danml.com/download.html */ -import { CONF, META_PARSE_VALUES } from "./config"; -import { getSelectors, splitLayers, getRows } from "./utils"; -import { hackFacet, getEmptySpec } from "./hack-facet-view"; -import { getGridSpec, getJitterSpec } from "./layout"; -import { CustomAnimations } from "./custom-animations"; +import { CONF, META_PARSE_VALUES } from "./config.js"; +import { getSelectors, splitLayers, getRows } from "./utils.js"; +import { hackFacet, getEmptySpec } from "./hack-facet-view.js"; +import { getGridSpec, getJitterSpec } from "./layout.js"; +import { CustomAnimations } from "./custom-animations.js"; /** * diff --git a/inst/htmlwidgets/js/src/scripts/custom-animations.js b/inst/htmlwidgets/js/src/scripts/custom-animations.js index 45de0194..b4c9be46 100644 --- a/inst/htmlwidgets/js/src/scripts/custom-animations.js +++ b/inst/htmlwidgets/js/src/scripts/custom-animations.js @@ -10,8 +10,8 @@ * Inspiration from: https://giorgi-ghviniashvili.github.io/aggregate-animation-data/designs/ */ -import { CONF } from "./config"; -import { getGridSpec } from "./layout"; +import { CONF } from "./config.js"; +import { getGridSpec } from "./layout.js"; /** * Generates a spec for count animation diff --git a/inst/htmlwidgets/js/src/scripts/hack-facet-view.js b/inst/htmlwidgets/js/src/scripts/hack-facet-view.js index 27fc2e24..271daeb3 100644 --- a/inst/htmlwidgets/js/src/scripts/hack-facet-view.js +++ b/inst/htmlwidgets/js/src/scripts/hack-facet-view.js @@ -4,7 +4,7 @@ * Adding axis layer underneath to look exactly same as faceted view */ -import { CONF, META_PARSE_VALUES } from "./config"; +import { CONF, META_PARSE_VALUES } from "./config.js"; /** * Get empty spec, if no data is present diff --git a/inst/htmlwidgets/js/src/scripts/layout.js b/inst/htmlwidgets/js/src/scripts/layout.js index 46602601..e2c9d621 100644 --- a/inst/htmlwidgets/js/src/scripts/layout.js +++ b/inst/htmlwidgets/js/src/scripts/layout.js @@ -4,8 +4,8 @@ * - grid view: meta.parse = "grid" * - jittered view: meta.parse = "jitter" */ -import { CONF, IGNORE_FIELDS } from "./config"; -import { lookupByBucket } from "./utils"; +import { CONF, IGNORE_FIELDS } from "./config.js"; +import { lookupByBucket } from "./utils.js"; /** * Generates data for grid specs diff --git a/inst/htmlwidgets/js/src/scripts/utils.js b/inst/htmlwidgets/js/src/scripts/utils.js index e991b4e1..6379cefc 100644 --- a/inst/htmlwidgets/js/src/scripts/utils.js +++ b/inst/htmlwidgets/js/src/scripts/utils.js @@ -1,4 +1,4 @@ -import { IGNORE_FIELDS } from "./config"; +import { IGNORE_FIELDS } from "./config.js"; /** * Gets selectors for each componenent, such as slider and animation divs diff --git a/inst/htmlwidgets/js/src/test/test.js b/inst/htmlwidgets/js/src/test/test.js index 2e019c88..866b3601 100644 --- a/inst/htmlwidgets/js/src/test/test.js +++ b/inst/htmlwidgets/js/src/test/test.js @@ -1,6 +1,6 @@ import assert from 'assert'; -import { generateGrid, getGridSpec, getJitterSpec } from "../dist/esm/index.js"; import * as d3 from "d3"; +import { generateGrid } from "../scripts/layout.js"; // set d3 globally. The functions expect d3 to be globally set global.d3 = d3;