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{ Subscriber } from '../Subscriber';\n\n/**\n * Subscribes to an ArrayLike with a subscriber\n * @param array The array or array-like to subscribe to\n */\nexport const subscribeToArray = <T>(array: ArrayLike<T>) => (subscriber: Subscriber<T>) => {\n  for (let i = 0, len = array.length; i < len && !subscriber.closed; i++) {\n    subscriber.next(array[i]);\n  }\n  subscriber.complete();\n};\n","/* tslint:disable:no-empty */\nexport function noop() { }\n","import { isArray } from './isArray';\n\nexport function isNumeric(val: any): val is number | string {\n  // parseFloat NaNs numeric-cast false positives (null|true|false|\"\")\n  // ...but misinterprets leading-number strings, particularly hex literals (\"0x...\")\n  // subtraction forces infinities to NaN\n  // adding 1 corrects loss of precision from parseFloat (#15100)\n  return !isArray(val) && (val - parseFloat(val) + 1) >= 0;\n}\n","/**\n * Tests to see if the object is an ES2015 (ES6) Promise\n * @see {@link https://www.ecma-international.org/ecma-262/6.0/#sec-promise-objects}\n * @param value the object to test\n */\nexport function isPromise(value: any): value is PromiseLike<any> {\n  return !!value && typeof (<any>value).subscribe !== 'function' && typeof (value as any).then === 'function';\n}\n","import { Observable } from '../Observable';\nimport { subscribeTo } from '../util/subscribeTo';\nimport { ObservableInput, SchedulerLike, ObservedValueOf } from '../types';\nimport { scheduled } from '../scheduled/scheduled';\n\nexport function from<O extends ObservableInput<any>>(input: O): Observable<ObservedValueOf<O>>;\n/** @deprecated use {@link scheduled} instead. */\nexport function from<O extends ObservableInput<any>>(input: O, scheduler: SchedulerLike): Observable<ObservedValueOf<O>>;\n\n/**\n * Creates an Observable from an Array, an array-like object, a Promise, an iterable object, or an Observable-like object.\n *\n * <span class=\"informal\">Converts almost anything to an Observable.</span>\n *\n * ![](from.png)\n *\n * `from` converts various other objects and data types into Observables. It also converts a Promise, an array-like, or an\n * <a href=\"https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Iteration_protocols#iterable\" target=\"_blank\">iterable</a>\n * object into an Observable that emits the items in that promise, array, or iterable. A String, in this context, is treated\n * as an array of characters. Observable-like objects (contains a function named with the ES2015 Symbol for Observable) can also be\n * converted through this operator.\n *\n * ## Examples\n *\n * ### Converts an array to an Observable\n *\n * ```ts\n * import { from } from 'rxjs';\n *\n * const array = [10, 20, 30];\n * const result = from(array);\n *\n * result.subscribe(x => console.log(x));\n *\n * // Logs:\n * // 10\n * // 20\n * // 30\n * ```\n *\n * ---\n *\n * ### Convert an infinite iterable (from a generator) to an Observable\n *\n * ```ts\n * import { from } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * function* generateDoubles(seed) {\n *    let i = seed;\n *    while (true) {\n *      yield i;\n *      i = 2 * i; // double it\n *    }\n * }\n *\n * const iterator = generateDoubles(3);\n * const result = from(iterator).pipe(take(10));\n *\n * result.subscribe(x => console.log(x));\n *\n * // Logs:\n * // 3\n * // 6\n * // 12\n * // 24\n * // 48\n * // 96\n * // 192\n * // 384\n * // 768\n * // 1536\n * ```\n *\n * ---\n *\n * ### With async scheduler\n *\n * ```ts\n * import { from, asyncScheduler } from 'rxjs';\n *\n * console.log('start');\n *\n * const array = [10, 20, 30];\n * const result = from(array, asyncScheduler);\n *\n * result.subscribe(x => console.log(x));\n *\n * console.log('end');\n *\n * // Logs:\n * // start\n * // end\n * // 10\n * // 20\n * // 30\n * ```\n *\n * @see {@link fromEvent}\n * @see {@link fromEventPattern}\n *\n * @param {ObservableInput<T>} A subscription object, a Promise, an Observable-like,\n * an Array, an iterable, or an array-like object to be converted.\n * @param {SchedulerLike} An optional {@link SchedulerLike} on which to schedule the emission of values.\n * @return {Observable<T>}\n * @name from\n * @owner Observable\n */\nexport function from<T>(input: ObservableInput<T>, scheduler?: SchedulerLike): Observable<T> {\n  if (!scheduler) {\n    if (input instanceof Observable) {\n      return input;\n    }\n    return new Observable<T>(subscribeTo(input));\n  } else {\n    return scheduled(input, scheduler);\n  }\n}\n","import { Subscriber } from '../Subscriber';\nimport { Subject } from '../Subject';\n\n/**\n * Determines whether the ErrorObserver is closed or stopped or has a\n * destination that is closed or stopped - in which case errors will\n * need to be reported via a different mechanism.\n * @param observer the observer\n */\nexport function canReportError(observer: Subscriber<any> | Subject<any>): boolean {\n  while (observer) {\n    const { closed, destination, isStopped } = observer as any;\n    if (closed || isStopped) {\n      return false;\n    } else if (destination && destination instanceof Subscriber) {\n      observer = destination;\n    } else {\n      observer = null;\n    }\n  }\n  return true;\n}\n","import { Subject } from './Subject';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { SubscriptionLike } from './types';\nimport { ObjectUnsubscribedError } from './util/ObjectUnsubscribedError';\n\n/**\n * A variant of Subject that requires an initial value and emits its current\n * value whenever it is subscribed to.\n *\n * @class BehaviorSubject<T>\n */\nexport class BehaviorSubject<T> extends Subject<T> {\n\n  constructor(private _value: T) {\n    super();\n  }\n\n  get value(): T {\n    return this.getValue();\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>): Subscription {\n    const subscription = super._subscribe(subscriber);\n    if (subscription && !(<SubscriptionLike>subscription).closed) {\n      subscriber.next(this._value);\n    }\n    return subscription;\n  }\n\n  getValue(): T {\n    if (this.hasError) {\n      throw this.thrownError;\n    } else if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    } else {\n      return this._value;\n    }\n  }\n\n  next(value: T): void {\n    super.next(this._value = value);\n  }\n}\n","export function isFunction(x: any): x is Function {\n  return typeof x === 'function';\n}\n","export const isArrayLike = (<T>(x: any): x is ArrayLike<T> => x && typeof x.length === 'number' && typeof x !== 'function');","export interface EmptyError extends Error {\n}\n\nexport interface EmptyErrorCtor {\n  new(): EmptyError;\n}\n\nconst EmptyErrorImpl = (() => {\n  function EmptyErrorImpl(this: any) {\n    Error.call(this);\n    this.message = 'no elements in sequence';\n    this.name = 'EmptyError';\n    return this;\n  }\n\n  EmptyErrorImpl.prototype = Object.create(Error.prototype);\n\n  return EmptyErrorImpl;\n})();\n\n/**\n * An error thrown when an Observable or a sequence was queried but has no\n * elements.\n *\n * @see {@link first}\n * @see {@link last}\n * @see {@link single}\n *\n * @class EmptyError\n */\nexport const EmptyError: EmptyErrorCtor = EmptyErrorImpl as any;","import { PartialObserver } from './types';\nimport { Observable } from './Observable';\nimport { empty } from './observable/empty';\nimport { of } from './observable/of';\nimport { throwError } from './observable/throwError';\nimport { deprecate } from 'util';\n\n// TODO: When this enum is removed, replace it with a type alias. See #4556.\n/**\n * @deprecated NotificationKind is deprecated as const enums are not compatible with isolated modules. Use a string literal instead.\n */\nexport enum NotificationKind {\n  NEXT = 'N',\n  ERROR = 'E',\n  COMPLETE = 'C',\n}\n\n/**\n * Represents a push-based event or value that an {@link Observable} can emit.\n * This class is particularly useful for operators that manage notifications,\n * like {@link materialize}, {@link dematerialize}, {@link observeOn}, and\n * others. Besides wrapping the actual delivered value, it also annotates it\n * with metadata of, for instance, what type of push message it is (`next`,\n * `error`, or `complete`).\n *\n * @see {@link materialize}\n * @see {@link dematerialize}\n * @see {@link observeOn}\n *\n * @class Notification<T>\n */\nexport class Notification<T> {\n  hasValue: boolean;\n\n  constructor(public kind: 'N' | 'E' | 'C', public value?: T, public error?: any) {\n    this.hasValue = kind === 'N';\n  }\n\n  /**\n   * Delivers to the given `observer` the value wrapped by this Notification.\n   * @param {Observer} observer\n   * @return\n   */\n  observe(observer: PartialObserver<T>): any {\n    switch (this.kind) {\n      case 'N':\n        return observer.next && observer.next(this.value);\n      case 'E':\n        return observer.error && observer.error(this.error);\n      case 'C':\n        return observer.complete && observer.complete();\n    }\n  }\n\n  /**\n   * Given some {@link Observer} callbacks, deliver the value represented by the\n   * current Notification to the correctly corresponding callback.\n   * @param {function(value: T): void} next An Observer `next` callback.\n   * @param {function(err: any): void} [error] An Observer `error` callback.\n   * @param {function(): void} [complete] An Observer `complete` callback.\n   * @return {any}\n   */\n  do(next: (value: T) => void, error?: (err: any) => void, complete?: () => void): any {\n    const kind = this.kind;\n    switch (kind) {\n      case 'N':\n        return next && next(this.value);\n      case 'E':\n        return error && error(this.error);\n      case 'C':\n        return complete && complete();\n    }\n  }\n\n  /**\n   * Takes an Observer or its individual callback functions, and calls `observe`\n   * or `do` methods accordingly.\n   * @param {Observer|function(value: T): void} nextOrObserver An Observer or\n   * the `next` callback.\n   * @param {function(err: any): void} [error] An Observer `error` callback.\n   * @param {function(): void} [complete] An Observer `complete` callback.\n   * @return {any}\n   */\n  accept(nextOrObserver: PartialObserver<T> | ((value: T) => void), error?: (err: any) => void, complete?: () => void) {\n    if (nextOrObserver && typeof (<PartialObserver<T>>nextOrObserver).next === 'function') {\n      return this.observe(<PartialObserver<T>>nextOrObserver);\n    } else {\n      return this.do(<(value: T) => void>nextOrObserver, error, complete);\n    }\n  }\n\n  /**\n   * Returns a simple Observable that just delivers the notification represented\n   * by this Notification instance.\n   * @return {any}\n   */\n  toObservable(): Observable<T> {\n    const kind = this.kind;\n    switch (kind) {\n      case 'N':\n        return of(this.value);\n      case 'E':\n        return throwError(this.error);\n      case 'C':\n        return empty();\n    }\n    throw new Error('unexpected notification kind value');\n  }\n\n  private static completeNotification: Notification<any> = new Notification('C');\n  private static undefinedValueNotification: Notification<any> = new Notification('N', undefined);\n\n  /**\n   * A shortcut to create a Notification instance of the type `next` from a\n   * given value.\n   * @param {T} value The `next` value.\n   * @return {Notification<T>} The \"next\" Notification representing the\n   * argument.\n   * @nocollapse\n   */\n  static createNext<T>(value: T): Notification<T> {\n    if (typeof value !== 'undefined') {\n      return new Notification('N', value);\n    }\n    return Notification.undefinedValueNotification;\n  }\n\n  /**\n   * A shortcut to create a Notification instance of the type `error` from a\n   * given error.\n   * @param {any} [err] The `error` error.\n   * @return {Notification<T>} The \"error\" Notification representing the\n   * argument.\n   * @nocollapse\n   */\n  static createError<T>(err?: any): Notification<T> {\n    return new Notification('E', undefined, err);\n  }\n\n  /**\n   * A shortcut to create a Notification instance of the type `complete`.\n   * @return {Notification<any>} The valueless \"complete\" Notification.\n   * @nocollapse\n   */\n  static createComplete(): Notification<any> {\n    return Notification.completeNotification;\n  }\n}\n","import { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Observable } from '../Observable';\nimport { OperatorFunction } from '../types';\n\n/**\n * Applies a given `project` function to each value emitted by the source\n * Observable, and emits the resulting values as an Observable.\n *\n * <span class=\"informal\">Like [Array.prototype.map()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/map),\n * it passes each source value through a transformation function to get\n * corresponding output values.</span>\n *\n * ![](map.png)\n *\n * Similar to the well known `Array.prototype.map` function, this operator\n * applies a projection to each value and emits that projection in the output\n * Observable.\n *\n * ## Example\n * Map every click to the clientX position of that click\n * ```ts\n * import { fromEvent } from 'rxjs';\n * import { map } from 'rxjs/operators';\n *\n * const clicks = fromEvent(document, 'click');\n * const positions = clicks.pipe(map(ev => ev.clientX));\n * positions.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link mapTo}\n * @see {@link pluck}\n *\n * @param {function(value: T, index: number): R} project The function to apply\n * to each `value` emitted by the source Observable. The `index` parameter is\n * the number `i` for the i-th emission that has happened since the\n * subscription, starting from the number `0`.\n * @param {any} [thisArg] An optional argument to define what `this` is in the\n * `project` function.\n * @return {Observable<R>} An Observable that emits the values from the source\n * Observable transformed by the given `project` function.\n * @method map\n * @owner Observable\n */\nexport function map<T, R>(project: (value: T, index: number) => R, thisArg?: any): OperatorFunction<T, R> {\n  return function mapOperation(source: Observable<T>): Observable<R> {\n    if (typeof project !== 'function') {\n      throw new TypeError('argument is not a function. Are you looking for `mapTo()`?');\n    }\n    return source.lift(new MapOperator(project, thisArg));\n  };\n}\n\nexport class MapOperator<T, R> implements Operator<T, R> {\n  constructor(private project: (value: T, index: number) => R, private thisArg: any) {\n  }\n\n  call(subscriber: Subscriber<R>, source: any): any {\n    return source.subscribe(new MapSubscriber(subscriber, this.project, this.thisArg));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass MapSubscriber<T, R> extends Subscriber<T> {\n  count: number = 0;\n  private thisArg: any;\n\n  constructor(destination: Subscriber<R>,\n              private project: (value: T, index: number) => R,\n              thisArg: any) {\n    super(destination);\n    this.thisArg = thisArg || this;\n  }\n\n  // NOTE: This looks unoptimized, but it's actually purposefully NOT\n  // using try/catch optimizations.\n  protected _next(value: T) {\n    let result: R;\n    try {\n      result = this.project.call(this.thisArg, value, this.count++);\n    } catch (err) {\n      this.destination.error(err);\n      return;\n    }\n    this.destination.next(result);\n  }\n}\n","import { Observer } from './types';\nimport { config } from './config';\nimport { hostReportError } from './util/hostReportError';\n\nexport const empty: Observer<any> = {\n  closed: true,\n  next(value: any): void { /* noop */},\n  error(err: any): void {\n    if (config.useDeprecatedSynchronousErrorHandling) {\n      throw err;\n    } else {\n      hostReportError(err);\n    }\n  },\n  complete(): void { /*noop*/ }\n};\n","import { Operator } from './Operator';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { TeardownLogic, OperatorFunction, PartialObserver, Subscribable } from './types';\nimport { canReportError } from './util/canReportError';\nimport { toSubscriber } from './util/toSubscriber';\nimport { iif } from './observable/iif';\nimport { throwError } from './observable/throwError';\nimport { observable as Symbol_observable } from './symbol/observable';\nimport { pipeFromArray } from './util/pipe';\nimport { config } from './config';\n\n/**\n * A representation of any set of values over any amount of time. This is the most basic building block\n * of RxJS.\n *\n * @class Observable<T>\n */\nexport class Observable<T> implements Subscribable<T> {\n\n  /** Internal implementation detail, do not use directly. */\n  public _isScalar: boolean = false;\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  source: Observable<any>;\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  operator: Operator<any, T>;\n\n  /**\n   * @constructor\n   * @param {Function} subscribe the function that is called when the Observable is\n   * initially subscribed to. This function is given a Subscriber, to which new values\n   * can be `next`ed, or an `error` method can be called to raise an error, or\n   * `complete` can be called to notify of a successful completion.\n   */\n  constructor(subscribe?: (this: Observable<T>, subscriber: Subscriber<T>) => TeardownLogic) {\n    if (subscribe) {\n      this._subscribe = subscribe;\n    }\n  }\n\n  // HACK: Since TypeScript inherits static properties too, we have to\n  // fight against TypeScript here so Subject can have a different static create signature\n  /**\n   * Creates a new cold Observable by calling the Observable constructor\n   * @static true\n   * @owner Observable\n   * @method create\n   * @param {Function} subscribe? the subscriber function to be passed to the Observable constructor\n   * @return {Observable} a new cold observable\n   * @nocollapse\n   * @deprecated use new Observable() instead\n   */\n  static create: Function = <T>(subscribe?: (subscriber: Subscriber<T>) => TeardownLogic) => {\n    return new Observable<T>(subscribe);\n  }\n\n  /**\n   * Creates a new Observable, with this Observable as the source, and the passed\n   * operator defined as the new observable's operator.\n   * @method lift\n   * @param {Operator} operator the operator defining the operation to take on the observable\n   * @return {Observable} a new observable with the Operator applied\n   */\n  lift<R>(operator: Operator<T, R>): Observable<R> {\n    const observable = new Observable<R>();\n    observable.source = this;\n    observable.operator = operator;\n    return observable;\n  }\n\n  subscribe(observer?: PartialObserver<T>): Subscription;\n  /** @deprecated Use an observer instead of a complete callback */\n  subscribe(next: null | undefined, error: null | undefined, complete: () => void): Subscription;\n  /** @deprecated Use an observer instead of an error callback */\n  subscribe(next: null | undefined, error: (error: any) => void, complete?: () => void): Subscription;\n  /** @deprecated Use an observer instead of a complete callback */\n  subscribe(next: (value: T) => void, error: null | undefined, complete: () => void): Subscription;\n  subscribe(next?: (value: T) => void, error?: (error: any) => void, complete?: () => void): Subscription;\n  /**\n   * Invokes an execution of an Observable and registers Observer handlers for notifications it will emit.\n   *\n   * <span class=\"informal\">Use it when you have all these Observables, but still nothing is happening.</span>\n   *\n   * `subscribe` is not a regular operator, but a method that calls Observable's internal `subscribe` function. It\n   * might be for example a function that you passed to Observable's constructor, but most of the time it is\n   * a library implementation, which defines what will be emitted by an Observable, and when it be will emitted. This means\n   * that calling `subscribe` is actually the moment when Observable starts its work, not when it is created, as it is often\n   * the thought.\n   *\n   * Apart from starting the execution of an Observable, this method allows you to listen for values\n   * that an Observable emits, as well as for when it completes or errors. You can achieve this in two\n   * of the following ways.\n   *\n   * The first way is creating an object that implements {@link Observer} interface. It should have methods\n   * defined by that interface, but note that it should be just a regular JavaScript object, which you can create\n   * yourself in any way you want (ES6 class, classic function constructor, object literal etc.). In particular do\n   * not attempt to use any RxJS implementation details to create Observers - you don't need them. Remember also\n   * that your object does not have to implement all methods. If you find yourself creating a method that doesn't\n   * do anything, you can simply omit it. Note however, if the `error` method is not provided, all errors will\n   * be left uncaught.\n   *\n   * The second way is to give up on Observer object altogether and simply provide callback functions in place of its methods.\n   * This means you can provide three functions as arguments to `subscribe`, where the first function is equivalent\n   * of a `next` method, the second of an `error` method and the third of a `complete` method. Just as in case of Observer,\n   * if you do not need to listen for something, you can omit a function, preferably by passing `undefined` or `null`,\n   * since `subscribe` recognizes these functions by where they were placed in function call. When it comes\n   * to `error` function, just as before, if not provided, errors emitted by an Observable will be thrown.\n   *\n   * Whichever style of calling `subscribe` you use, in both cases it returns a Subscription object.\n   * This object allows you to call `unsubscribe` on it, which in turn will stop the work that an Observable does and will clean\n   * up all resources that an Observable used. Note that cancelling a subscription will not call `complete` callback\n   * provided to `subscribe` function, which is reserved for a regular completion signal that comes from an Observable.\n   *\n   * Remember that callbacks provided to `subscribe` are not guaranteed to be called asynchronously.\n   * It is an Observable itself that decides when these functions will be called. For example {@link of}\n   * by default emits all its values synchronously. Always check documentation for how given Observable\n   * will behave when subscribed and if its default behavior can be modified with a `scheduler`.\n   *\n   * ## Example\n   * ### Subscribe with an Observer\n   * ```ts\n   * import { of } from 'rxjs';\n   *\n   * const sumObserver = {\n   *   sum: 0,\n   *   next(value) {\n   *     console.log('Adding: ' + value);\n   *     this.sum = this.sum + value;\n   *   },\n   *   error() {\n   *     // We actually could just remove this method,\n   *     // since we do not really care about errors right now.\n   *   },\n   *   complete() {\n   *     console.log('Sum equals: ' + this.sum);\n   *   }\n   * };\n   *\n   * of(1, 2, 3) // Synchronously emits 1, 2, 3 and then completes.\n   *   .subscribe(sumObserver);\n   *\n   * // Logs:\n   * // \"Adding: 1\"\n   * // \"Adding: 2\"\n   * // \"Adding: 3\"\n   * // \"Sum equals: 6\"\n   * ```\n   *\n   * ### Subscribe with functions\n   * ```ts\n   * import { of } from 'rxjs'\n   *\n   * let sum = 0;\n   *\n   * of(1, 2, 3).subscribe(\n   *   value => {\n   *     console.log('Adding: ' + value);\n   *     sum = sum + value;\n   *   },\n   *   undefined,\n   *   () => console.log('Sum equals: ' + sum)\n   * );\n   *\n   * // Logs:\n   * // \"Adding: 1\"\n   * // \"Adding: 2\"\n   * // \"Adding: 3\"\n   * // \"Sum equals: 6\"\n   * ```\n   *\n   * ### Cancel a subscription\n   * ```ts\n   * import { interval } from 'rxjs';\n   *\n   * const subscription = interval(1000).subscribe(\n   *   num => console.log(num),\n   *   undefined,\n   *   () => {\n   *     // Will not be called, even when cancelling subscription.\n   *     console.log('completed!');\n   *   }\n   * );\n   *\n   * setTimeout(() => {\n   *   subscription.unsubscribe();\n   *   console.log('unsubscribed!');\n   * }, 2500);\n   *\n   * // Logs:\n   * // 0 after 1s\n   * // 1 after 2s\n   * // \"unsubscribed!\" after 2.5s\n   * ```\n   *\n   * @param {Observer|Function} observerOrNext (optional) Either an observer with methods to be called,\n   *  or the first of three possible handlers, which is the handler for each value emitted from the subscribed\n   *  Observable.\n   * @param {Function} error (optional) A handler for a terminal event resulting from an error. If no error handler is provided,\n   *  the error will be thrown as unhandled.\n   * @param {Function} complete (optional) A handler for a terminal event resulting from successful completion.\n   * @return {ISubscription} a subscription reference to the registered handlers\n   * @method subscribe\n   */\n  subscribe(observerOrNext?: PartialObserver<T> | ((value: T) => void),\n            error?: (error: any) => void,\n            complete?: () => void): Subscription {\n\n    const { operator } = this;\n    const sink = toSubscriber(observerOrNext, error, complete);\n\n    if (operator) {\n      sink.add(operator.call(sink, this.source));\n    } else {\n      sink.add(\n        this.source || (config.useDeprecatedSynchronousErrorHandling && !sink.syncErrorThrowable) ?\n        this._subscribe(sink) :\n        this._trySubscribe(sink)\n      );\n    }\n\n    if (config.useDeprecatedSynchronousErrorHandling) {\n      if (sink.syncErrorThrowable) {\n        sink.syncErrorThrowable = false;\n        if (sink.syncErrorThrown) {\n          throw sink.syncErrorValue;\n        }\n      }\n    }\n\n    return sink;\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _trySubscribe(sink: Subscriber<T>): TeardownLogic {\n    try {\n      return this._subscribe(sink);\n    } catch (err) {\n      if (config.useDeprecatedSynchronousErrorHandling) {\n        sink.syncErrorThrown = true;\n        sink.syncErrorValue = err;\n      }\n      if (canReportError(sink)) {\n        sink.error(err);\n      } else {\n        console.warn(err);\n      }\n    }\n  }\n\n  /**\n   * @method forEach\n   * @param {Function} next a handler for each value emitted by the observable\n   * @param {PromiseConstructor} [promiseCtor] a constructor function used to instantiate the Promise\n   * @return {Promise} a promise that either resolves on observable completion or\n   *  rejects with the handled error\n   */\n  forEach(next: (value: T) => void, promiseCtor?: PromiseConstructorLike): Promise<void> {\n    promiseCtor = getPromiseCtor(promiseCtor);\n\n    return new promiseCtor<void>((resolve, reject) => {\n      // Must be declared in a separate statement to avoid a ReferenceError when\n      // accessing subscription below in the closure due to Temporal Dead Zone.\n      let subscription: Subscription;\n      subscription = this.subscribe((value) => {\n        try {\n          next(value);\n        } catch (err) {\n          reject(err);\n          if (subscription) {\n            subscription.unsubscribe();\n          }\n        }\n      }, reject, resolve);\n    }) as Promise<void>;\n  }\n\n  /** @internal This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<any>): TeardownLogic {\n    const { source } = this;\n    return source && source.subscribe(subscriber);\n  }\n\n  // `if` and `throw` are special snow flakes, the compiler sees them as reserved words. Deprecated in\n  // favor of iif and throwError functions.\n  /**\n   * @nocollapse\n   * @deprecated In favor of iif creation function: import { iif } from 'rxjs';\n   */\n  static if: typeof iif;\n  /**\n   * @nocollapse\n   * @deprecated In favor of throwError creation function: import { throwError } from 'rxjs';\n   */\n  static throw: typeof throwError;\n\n  /**\n   * An interop point defined by the es7-observable spec https://github.com/zenparsing/es-observable\n   * @method Symbol.observable\n   * @return {Observable} this instance of the observable\n   */\n  [Symbol_observable]() {\n    return this;\n  }\n\n  /* tslint:disable:max-line-length */\n  pipe(): Observable<T>;\n  pipe<A>(op1: OperatorFunction<T, A>): Observable<A>;\n  pipe<A, B>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>): Observable<B>;\n  pipe<A, B, C>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>): Observable<C>;\n  pipe<A, B, C, D>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>): Observable<D>;\n  pipe<A, B, C, D, E>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>): Observable<E>;\n  pipe<A, B, C, D, E, F>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>, op6: OperatorFunction<E, F>): Observable<F>;\n  pipe<A, B, C, D, E, F, G>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>, op6: OperatorFunction<E, F>, op7: OperatorFunction<F, G>): Observable<G>;\n  pipe<A, B, C, D, E, F, G, H>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>, op6: OperatorFunction<E, F>, op7: OperatorFunction<F, G>, op8: OperatorFunction<G, H>): Observable<H>;\n  pipe<A, B, C, D, E, F, G, H, I>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>, op6: OperatorFunction<E, F>, op7: OperatorFunction<F, G>, op8: OperatorFunction<G, H>, op9: OperatorFunction<H, I>): Observable<I>;\n  pipe<A, B, C, D, E, F, G, H, I>(op1: OperatorFunction<T, A>, op2: OperatorFunction<A, B>, op3: OperatorFunction<B, C>, op4: OperatorFunction<C, D>, op5: OperatorFunction<D, E>, op6: OperatorFunction<E, F>, op7: OperatorFunction<F, G>, op8: OperatorFunction<G, H>, op9: OperatorFunction<H, I>, ...operations: OperatorFunction<any, any>[]): Observable<{}>;\n  /* tslint:enable:max-line-length */\n\n  /**\n   * Used to stitch together functional operators into a chain.\n   * @method pipe\n   * @return {Observable} the Observable result of all of the operators having\n   * been called in the order they were passed in.\n   *\n   * ### Example\n   * ```ts\n   * import { interval } from 'rxjs';\n   * import { map, filter, scan } from 'rxjs/operators';\n   *\n   * interval(1000)\n   *   .pipe(\n   *     filter(x => x % 2 === 0),\n   *     map(x => x + x),\n   *     scan((acc, x) => acc + x)\n   *   )\n   *   .subscribe(x => console.log(x))\n   * ```\n   */\n  pipe(...operations: OperatorFunction<any, any>[]): Observable<any> {\n    if (operations.length === 0) {\n      return this as any;\n    }\n\n    return pipeFromArray(operations)(this);\n  }\n\n  /* tslint:disable:max-line-length */\n  toPromise<T>(this: Observable<T>): Promise<T>;\n  toPromise<T>(this: Observable<T>, PromiseCtor: typeof Promise): Promise<T>;\n  toPromise<T>(this: Observable<T>, PromiseCtor: PromiseConstructorLike): Promise<T>;\n  /* tslint:enable:max-line-length */\n\n  toPromise(promiseCtor?: PromiseConstructorLike): Promise<T> {\n    promiseCtor = getPromiseCtor(promiseCtor);\n\n    return new promiseCtor((resolve, reject) => {\n      let value: any;\n      this.subscribe((x: T) => value = x, (err: any) => reject(err), () => resolve(value));\n    }) as Promise<T>;\n  }\n}\n\n/**\n * Decides between a passed promise constructor from consuming code,\n * A default configured promise constructor, and the native promise\n * constructor and returns it. If nothing can be found, it will throw\n * an error.\n * @param promiseCtor The optional promise constructor to passed by consuming code\n */\nfunction getPromiseCtor(promiseCtor: PromiseConstructorLike | undefined) {\n  if (!promiseCtor) {\n    promiseCtor = config.Promise || Promise;\n  }\n\n  if (!promiseCtor) {\n    throw new Error('no Promise impl found');\n  }\n\n  return promiseCtor;\n}\n","import { Subscriber } from '../Subscriber';\nimport { rxSubscriber as rxSubscriberSymbol } from '../symbol/rxSubscriber';\nimport { empty as emptyObserver } from '../Observer';\nimport { PartialObserver } from '../types';\n\nexport function toSubscriber<T>(\n  nextOrObserver?: PartialObserver<T> | ((value: T) => void),\n  error?: (error: any) => void,\n  complete?: () => void): Subscriber<T> {\n\n  if (nextOrObserver) {\n    if (nextOrObserver instanceof Subscriber) {\n      return (<Subscriber<T>> nextOrObserver);\n    }\n\n    if (nextOrObserver[rxSubscriberSymbol]) {\n      return nextOrObserver[rxSubscriberSymbol]();\n    }\n  }\n\n  if (!nextOrObserver && !error && !complete) {\n    return new Subscriber(emptyObserver);\n  }\n\n  return new Subscriber(nextOrObserver, error, complete);\n}\n","export interface ObjectUnsubscribedError extends Error {\n}\n\nexport interface ObjectUnsubscribedErrorCtor {\n  new(): ObjectUnsubscribedError;\n}\n\nconst ObjectUnsubscribedErrorImpl = (() => {\n  function ObjectUnsubscribedErrorImpl(this: any) {\n    Error.call(this);\n    this.message = 'object unsubscribed';\n    this.name = 'ObjectUnsubscribedError';\n    return this;\n  }\n\n  ObjectUnsubscribedErrorImpl.prototype = Object.create(Error.prototype);\n\n  return ObjectUnsubscribedErrorImpl;\n})();\n\n/**\n * An error thrown when an action is invalid because the object has been\n * unsubscribed.\n *\n * @see {@link Subject}\n * @see {@link BehaviorSubject}\n *\n * @class ObjectUnsubscribedError\n */\nexport const ObjectUnsubscribedError: ObjectUnsubscribedErrorCtor = ObjectUnsubscribedErrorImpl as any;","import { Scheduler } from '../Scheduler';\nimport { Action } from './Action';\nimport { AsyncAction } from './AsyncAction';\nimport { SchedulerAction } from '../types';\nimport { Subscription } from '../Subscription';\n\nexport class AsyncScheduler extends Scheduler {\n  public static delegate?: Scheduler;\n  public actions: Array<AsyncAction<any>> = [];\n  /**\n   * A flag to indicate whether the Scheduler is currently executing a batch of\n   * queued actions.\n   * @type {boolean}\n   * @deprecated internal use only\n   */\n  public active: boolean = false;\n  /**\n   * An internal ID used to track the latest asynchronous task such as those\n   * coming from `setTimeout`, `setInterval`, `requestAnimationFrame`, and\n   * others.\n   * @type {any}\n   * @deprecated internal use only\n   */\n  public scheduled: any = undefined;\n\n  constructor(SchedulerAction: typeof Action,\n              now: () => number = Scheduler.now) {\n    super(SchedulerAction, () => {\n      if (AsyncScheduler.delegate && AsyncScheduler.delegate !== this) {\n        return AsyncScheduler.delegate.now();\n      } else {\n        return now();\n      }\n    });\n  }\n\n  public schedule<T>(work: (this: SchedulerAction<T>, state?: T) => void, delay: number = 0, state?: T): Subscription {\n    if (AsyncScheduler.delegate && AsyncScheduler.delegate !== this) {\n      return AsyncScheduler.delegate.schedule(work, delay, state);\n    } else {\n      return super.schedule(work, delay, state);\n    }\n  }\n\n  public flush(action: AsyncAction<any>): void {\n\n    const {actions} = this;\n\n    if (this.active) {\n      actions.push(action);\n      return;\n    }\n\n    let error: any;\n    this.active = true;\n\n    do {\n      if (error = action.execute(action.state, action.delay)) {\n        break;\n      }\n    } while (action = actions.shift()); // exhaust the scheduler queue\n\n    this.active = false;\n\n    if (error) {\n      while (action = actions.shift()) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n","/**\n * Throws an error on another job so that it's picked up by the runtime's\n * uncaught error handling mechanism.\n * @param err the error to throw\n */\nexport function hostReportError(err: any) {\n  setTimeout(() => { throw err; }, 0);\n}","import { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { Observable } from '../Observable';\nimport { Operator } from '../Operator';\nimport { Subject } from '../Subject';\nimport { OperatorFunction } from '../types';\n\n/* tslint:disable:max-line-length */\nexport function groupBy<T, K>(keySelector: (value: T) => K): OperatorFunction<T, GroupedObservable<K, T>>;\nexport function groupBy<T, K>(keySelector: (value: T) => K, elementSelector: void, durationSelector: (grouped: GroupedObservable<K, T>) => Observable<any>): OperatorFunction<T, GroupedObservable<K, T>>;\nexport function groupBy<T, K, R>(keySelector: (value: T) => K, elementSelector?: (value: T) => R, durationSelector?: (grouped: GroupedObservable<K, R>) => Observable<any>): OperatorFunction<T, GroupedObservable<K, R>>;\nexport function groupBy<T, K, R>(keySelector: (value: T) => K, elementSelector?: (value: T) => R, durationSelector?: (grouped: GroupedObservable<K, R>) => Observable<any>, subjectSelector?: () => Subject<R>): OperatorFunction<T, GroupedObservable<K, R>>;\n/* tslint:enable:max-line-length */\n\n/**\n * Groups the items emitted by an Observable according to a specified criterion,\n * and emits these grouped items as `GroupedObservables`, one\n * {@link GroupedObservable} per group.\n *\n * ![](groupBy.png)\n *\n * When the Observable emits an item, a key is computed for this item with the keySelector function.\n *\n * If a {@link GroupedObservable} for this key exists, this {@link GroupedObservable} emits. Elsewhere, a new\n * {@link GroupedObservable} for this key is created and emits.\n *\n * A {@link GroupedObservable} represents values belonging to the same group represented by a common key. The common\n * key is available as the key field of a {@link GroupedObservable} instance.\n *\n * The elements emitted by {@link GroupedObservable}s are by default the items emitted by the Observable, or elements\n * returned by the elementSelector function.\n *\n * ## Examples\n *\n * ### Group objects by id and return as array\n *\n * ```ts\n * import { of } from 'rxjs';\n * import { mergeMap, groupBy, reduce } from 'rxjs/operators';\n *\n * of(\n *   {id: 1, name: 'JavaScript'},\n *   {id: 2, name: 'Parcel'},\n *   {id: 2, name: 'webpack'},\n *   {id: 1, name: 'TypeScript'},\n *   {id: 3, name: 'TSLint'}\n * ).pipe(\n *   groupBy(p => p.id),\n *   mergeMap((group$) => group$.pipe(reduce((acc, cur) => [...acc, cur], []))),\n * )\n * .subscribe(p => console.log(p));\n *\n * // displays:\n * // [ { id: 1, name: 'JavaScript'},\n * //   { id: 1, name: 'TypeScript'} ]\n * //\n * // [ { id: 2, name: 'Parcel'},\n * //   { id: 2, name: 'webpack'} ]\n * //\n * // [ { id: 3, name: 'TSLint'} ]\n * ```\n *\n * ### Pivot data on the id field\n *\n * ```ts\n * import { of } from 'rxjs';\n * import { groupBy, map, mergeMap, reduce } from 'rxjs/operators';\n *\n * of(\n *   { id: 1, name: 'JavaScript' },\n *   { id: 2, name: 'Parcel' },\n *   { id: 2, name: 'webpack' },\n *   { id: 1, name: 'TypeScript' },\n *   { id: 3, name: 'TSLint' }\n * )\n *   .pipe(\n *     groupBy(p => p.id, p => p.name),\n *     mergeMap(group$ =>\n *       group$.pipe(reduce((acc, cur) => [...acc, cur], [`${group$.key}`]))\n *     ),\n *     map(arr => ({ id: parseInt(arr[0], 10), values: arr.slice(1) }))\n *  )\n *  .subscribe(p => console.log(p));\n *\n * // displays:\n * // { id: 1, values: [ 'JavaScript', 'TypeScript' ] }\n * // { id: 2, values: [ 'Parcel', 'webpack' ] }\n * // { id: 3, values: [ 'TSLint' ] }\n * ```\n *\n * @param {function(value: T): K} keySelector A function that extracts the key\n * for each item.\n * @param {function(value: T): R} [elementSelector] A function that extracts the\n * return element for each item.\n * @param {function(grouped: GroupedObservable<K,R>): Observable<any>} [durationSelector]\n * A function that returns an Observable to determine how long each group should\n * exist.\n * @return {Observable<GroupedObservable<K,R>>} An Observable that emits\n * GroupedObservables, each of which corresponds to a unique key value and each\n * of which emits those items from the source Observable that share that key\n * value.\n * @method groupBy\n * @owner Observable\n */\nexport function groupBy<T, K, R>(keySelector: (value: T) => K,\n                                 elementSelector?: ((value: T) => R) | void,\n                                 durationSelector?: (grouped: GroupedObservable<K, R>) => Observable<any>,\n                                 subjectSelector?: () => Subject<R>): OperatorFunction<T, GroupedObservable<K, R>> {\n  return (source: Observable<T>) =>\n    source.lift(new GroupByOperator(keySelector, elementSelector, durationSelector, subjectSelector));\n}\n\nexport interface RefCountSubscription {\n  count: number;\n  unsubscribe: () => void;\n  closed: boolean;\n  attemptedToUnsubscribe: boolean;\n}\n\nclass GroupByOperator<T, K, R> implements Operator<T, GroupedObservable<K, R>> {\n  constructor(private keySelector: (value: T) => K,\n              private elementSelector?: ((value: T) => R) | void,\n              private durationSelector?: (grouped: GroupedObservable<K, R>) => Observable<any>,\n              private subjectSelector?: () => Subject<R>) {\n  }\n\n  call(subscriber: Subscriber<GroupedObservable<K, R>>, source: any): any {\n    return source.subscribe(new GroupBySubscriber(\n      subscriber, this.keySelector, this.elementSelector, this.durationSelector, this.subjectSelector\n    ));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass GroupBySubscriber<T, K, R> extends Subscriber<T> implements RefCountSubscription {\n  private groups: Map<K, Subject<T | R>> = null;\n  public attemptedToUnsubscribe: boolean = false;\n  public count: number = 0;\n\n  constructor(destination: Subscriber<GroupedObservable<K, R>>,\n              private keySelector: (value: T) => K,\n              private elementSelector?: ((value: T) => R) | void,\n              private durationSelector?: (grouped: GroupedObservable<K, R>) => Observable<any>,\n              private subjectSelector?: () => Subject<R>) {\n    super(destination);\n  }\n\n  protected _next(value: T): void {\n    let key: K;\n    try {\n      key = this.keySelector(value);\n    } catch (err) {\n      this.error(err);\n      return;\n    }\n\n    this._group(value, key);\n  }\n\n  private _group(value: T, key: K) {\n    let groups = this.groups;\n\n    if (!groups) {\n      groups = this.groups = new Map<K, Subject<T | R>>();\n    }\n\n    let group = groups.get(key);\n\n    let element: R;\n    if (this.elementSelector) {\n      try {\n        element = this.elementSelector(value);\n      } catch (err) {\n        this.error(err);\n      }\n    } else {\n      element = <any>value;\n    }\n\n    if (!group) {\n      group = (this.subjectSelector ? this.subjectSelector() : new Subject<R>()) as Subject<T | R>;\n      groups.set(key, group);\n      const groupedObservable = new GroupedObservable(key, group, this);\n      this.destination.next(groupedObservable);\n      if (this.durationSelector) {\n        let duration: any;\n        try {\n          duration = this.durationSelector(new GroupedObservable<K, R>(key, <Subject<R>>group));\n        } catch (err) {\n          this.error(err);\n          return;\n        }\n        this.add(duration.subscribe(new GroupDurationSubscriber(key, group, this)));\n      }\n    }\n\n    if (!group.closed) {\n      group.next(element);\n    }\n  }\n\n  protected _error(err: any): void {\n    const groups = this.groups;\n    if (groups) {\n      groups.forEach((group, key) => {\n        group.error(err);\n      });\n\n      groups.clear();\n    }\n    this.destination.error(err);\n  }\n\n  protected _complete(): void {\n    const groups = this.groups;\n    if (groups) {\n      groups.forEach((group, key) => {\n        group.complete();\n      });\n\n      groups.clear();\n    }\n    this.destination.complete();\n  }\n\n  removeGroup(key: K): void {\n    this.groups.delete(key);\n  }\n\n  unsubscribe() {\n    if (!this.closed) {\n      this.attemptedToUnsubscribe = true;\n      if (this.count === 0) {\n        super.unsubscribe();\n      }\n    }\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass GroupDurationSubscriber<K, T> extends Subscriber<T> {\n  constructor(private key: K,\n              private group: Subject<T>,\n              private parent: GroupBySubscriber<any, K, T | any>) {\n    super(group);\n  }\n\n  protected _next(value: T): void {\n    this.complete();\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _unsubscribe() {\n    const { parent, key } = this;\n    this.key = this.parent = null;\n    if (parent) {\n      parent.removeGroup(key);\n    }\n  }\n}\n\n/**\n * An Observable representing values belonging to the same group represented by\n * a common key. The values emitted by a GroupedObservable come from the source\n * Observable. The common key is available as the field `key` on a\n * GroupedObservable instance.\n *\n * @class GroupedObservable<K, T>\n */\nexport class GroupedObservable<K, T> extends Observable<T> {\n  /** @deprecated Do not construct this type. Internal use only */\n  constructor(public key: K,\n              private groupSubject: Subject<T>,\n              private refCountSubscription?: RefCountSubscription) {\n    super();\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>) {\n    const subscription = new Subscription();\n    const { refCountSubscription, groupSubject } = this;\n    if (refCountSubscription && !refCountSubscription.closed) {\n      subscription.add(new InnerRefCountSubscription(refCountSubscription));\n    }\n    subscription.add(groupSubject.subscribe(subscriber));\n    return subscription;\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass InnerRefCountSubscription extends Subscription {\n  constructor(private parent: RefCountSubscription) {\n    super();\n    parent.count++;\n  }\n\n  unsubscribe() {\n    const parent = this.parent;\n    if (!parent.closed && !this.closed) {\n      super.unsubscribe();\n      parent.count -= 1;\n      if (parent.count === 0 && parent.attemptedToUnsubscribe) {\n        parent.unsubscribe();\n      }\n    }\n  }\n}\n","import { Subject } from './Subject';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\n\n/**\n * A variant of Subject that only emits a value when it completes. It will emit\n * its latest value to all its observers on completion.\n *\n * @class AsyncSubject<T>\n */\nexport class AsyncSubject<T> extends Subject<T> {\n  private value: T = null;\n  private hasNext: boolean = false;\n  private hasCompleted: boolean = false;\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<any>): Subscription {\n    if (this.hasError) {\n      subscriber.error(this.thrownError);\n      return Subscription.EMPTY;\n    } else if (this.hasCompleted && this.hasNext) {\n      subscriber.next(this.value);\n      subscriber.complete();\n      return Subscription.EMPTY;\n    }\n    return super._subscribe(subscriber);\n  }\n\n  next(value: T): void {\n    if (!this.hasCompleted) {\n      this.value = value;\n      this.hasNext = true;\n    }\n  }\n\n  error(error: any): void {\n    if (!this.hasCompleted) {\n      super.error(error);\n    }\n  }\n\n  complete(): void {\n    this.hasCompleted = true;\n    if (this.hasNext) {\n      super.next(this.value);\n    }\n    super.complete();\n  }\n}\n","import { AsyncAction } from './AsyncAction';\nimport { Subscription } from '../Subscription';\nimport { AsyncScheduler } from './AsyncScheduler';\nimport { SchedulerAction } from '../types';\n\nexport class VirtualTimeScheduler extends AsyncScheduler {\n\n  protected static frameTimeFactor: number = 10;\n\n  public frame: number = 0;\n  public index: number = -1;\n\n  constructor(SchedulerAction: typeof AsyncAction = VirtualAction as any,\n              public maxFrames: number = Number.POSITIVE_INFINITY) {\n    super(SchedulerAction, () => this.frame);\n  }\n\n  /**\n   * Prompt the Scheduler to execute all of its queued actions, therefore\n   * clearing its queue.\n   * @return {void}\n   */\n  public flush(): void {\n\n    const {actions, maxFrames} = this;\n    let error: any, action: AsyncAction<any>;\n\n    while ((action = actions[0]) && action.delay <= maxFrames) {\n      actions.shift();\n      this.frame = action.delay;\n\n      if (error = action.execute(action.state, action.delay)) {\n        break;\n      }\n    }\n\n    if (error) {\n      while (action = actions.shift()) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @nodoc\n */\nexport class VirtualAction<T> extends AsyncAction<T> {\n\n  protected active: boolean = true;\n\n  constructor(protected scheduler: VirtualTimeScheduler,\n              protected work: (this: SchedulerAction<T>, state?: T) => void,\n              protected index: number = scheduler.index += 1) {\n    super(scheduler, work);\n    this.index = scheduler.index = index;\n  }\n\n  public schedule(state?: T, delay: number = 0): Subscription {\n    if (!this.id) {\n      return super.schedule(state, delay);\n    }\n    this.active = false;\n    // If an action is rescheduled, we save allocations by mutating its state,\n    // pushing it to the end of the scheduler queue, and recycling the action.\n    // But since the VirtualTimeScheduler is used for testing, VirtualActions\n    // must be immutable so they can be inspected later.\n    const action = new VirtualAction(this.scheduler, this.work);\n    this.add(action);\n    return action.schedule(state, delay);\n  }\n\n  protected requestAsyncId(scheduler: VirtualTimeScheduler, id?: any, delay: number = 0): any {\n    this.delay = scheduler.frame + delay;\n    const {actions} = scheduler;\n    actions.push(this);\n    (actions as Array<VirtualAction<T>>).sort(VirtualAction.sortActions);\n    return true;\n  }\n\n  protected recycleAsyncId(scheduler: VirtualTimeScheduler, id?: any, delay: number = 0): any {\n    return undefined;\n  }\n\n  protected _execute(state: T, delay: number): any {\n    if (this.active === true) {\n      return super._execute(state, delay);\n    }\n  }\n\n  public static sortActions<T>(a: VirtualAction<T>, b: VirtualAction<T>) {\n    if (a.delay === b.delay) {\n      if (a.index === b.index) {\n        return 0;\n      } else if (a.index > b.index) {\n        return 1;\n      } else {\n        return -1;\n      }\n    } else if (a.delay > b.delay) {\n      return 1;\n    } else {\n      return -1;\n    }\n  }\n}\n","import { Observable } from '../Observable';\nimport { ObservableInput } from '../types';\n\n/**\n * Tests to see if the object is an RxJS {@link Observable}\n * @param obj the object to test\n */\nexport function isObservable<T>(obj: any): obj is Observable<T> {\n  return !!obj && (obj instanceof Observable || (typeof obj.lift === 'function' && typeof obj.subscribe === 'function'));\n}\n","export interface TimeoutError extends Error {\n}\n\nexport interface TimeoutErrorCtor {\n  new(): TimeoutError;\n}\n\nconst TimeoutErrorImpl = (() => {\n  function TimeoutErrorImpl(this: any) {\n    Error.call(this);\n    this.message = 'Timeout has occurred';\n    this.name = 'TimeoutError';\n    return this;\n  }\n\n  TimeoutErrorImpl.prototype = Object.create(Error.prototype);\n\n  return TimeoutErrorImpl;\n})();\n\n/**\n * An error thrown when duetime elapses.\n *\n * @see {@link operators/timeout}\n *\n * @class TimeoutError\n */\nexport const TimeoutError: TimeoutErrorCtor = TimeoutErrorImpl as any;\n","import { SchedulerLike, SchedulerAction } from '../types';\nimport { Observable } from '../Observable';\nimport { AsyncSubject } from '../AsyncSubject';\nimport { Subscriber } from '../Subscriber';\nimport { map } from '../operators/map';\nimport { canReportError } from '../util/canReportError';\nimport { isArray } from '../util/isArray';\nimport { isScheduler } from '../util/isScheduler';\n\n// tslint:disable:max-line-length\n/** @deprecated resultSelector is no longer supported, use a mapping function. */\nexport function bindCallback(callbackFunc: Function, resultSelector: Function, scheduler?: SchedulerLike): (...args: any[]) => Observable<any>;\n\nexport function bindCallback<R1, R2, R3, R4>(callbackFunc: (callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): () => Observable<any[]>;\nexport function bindCallback<R1, R2, R3>(callbackFunc: (callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): () => Observable<[R1, R2, R3]>;\nexport function bindCallback<R1, R2>(callbackFunc: (callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): () => Observable<[R1, R2]>;\nexport function bindCallback<R1>(callbackFunc: (callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): () => Observable<R1>;\nexport function bindCallback(callbackFunc: (callback: () => any) => any, scheduler?: SchedulerLike): () => Observable<void>;\n\nexport function bindCallback<A1, R1, R2, R3, R4>(callbackFunc: (arg1: A1, callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<any[]>;\nexport function bindCallback<A1, R1, R2, R3>(callbackFunc: (arg1: A1, callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<[R1, R2, R3]>;\nexport function bindCallback<A1, R1, R2>(callbackFunc: (arg1: A1, callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<[R1, R2]>;\nexport function bindCallback<A1, R1>(callbackFunc: (arg1: A1, callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<R1>;\nexport function bindCallback<A1>(callbackFunc: (arg1: A1, callback: () => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<void>;\n\nexport function bindCallback<A1, A2, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<any[]>;\nexport function bindCallback<A1, A2, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<[R1, R2, R3]>;\nexport function bindCallback<A1, A2, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<[R1, R2]>;\nexport function bindCallback<A1, A2, R1>(callbackFunc: (arg1: A1, arg2: A2, callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<R1>;\nexport function bindCallback<A1, A2>(callbackFunc: (arg1: A1, arg2: A2, callback: () => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<void>;\n\nexport function bindCallback<A1, A2, A3, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<any[]>;\nexport function bindCallback<A1, A2, A3, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<[R1, R2, R3]>;\nexport function bindCallback<A1, A2, A3, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<[R1, R2]>;\nexport function bindCallback<A1, A2, A3, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<R1>;\nexport function bindCallback<A1, A2, A3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: () => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<void>;\n\nexport function bindCallback<A1, A2, A3, A4, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<any[]>;\nexport function bindCallback<A1, A2, A3, A4, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<[R1, R2, R3]>;\nexport function bindCallback<A1, A2, A3, A4, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<[R1, R2]>;\nexport function bindCallback<A1, A2, A3, A4, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<R1>;\nexport function bindCallback<A1, A2, A3, A4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: () => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<void>;\n\nexport function bindCallback<A1, A2, A3, A4, A5, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<any[]>;\nexport function bindCallback<A1, A2, A3, A4, A5, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<[R1, R2, R3]>;\nexport function bindCallback<A1, A2, A3, A4, A5, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<[R1, R2]>;\nexport function bindCallback<A1, A2, A3, A4, A5, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<R1>;\nexport function bindCallback<A1, A2, A3, A4, A5>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: () => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<void>;\n\nexport function bindCallback<A, R>(callbackFunc: (...args: Array<A | ((result: R) => any)>) => any, scheduler?: SchedulerLike): (...args: A[]) => Observable<R>;\nexport function bindCallback<A, R>(callbackFunc: (...args: Array<A | ((...results: R[]) => any)>) => any, scheduler?: SchedulerLike): (...args: A[]) => Observable<R[]>;\n\nexport function bindCallback(callbackFunc: Function, scheduler?: SchedulerLike): (...args: any[]) => Observable<any>;\n\n// tslint:enable:max-line-length\n\n/**\n * Converts a callback API to a function that returns an Observable.\n *\n * <span class=\"informal\">Give it a function `f` of type `f(x, callback)` and\n * it will return a function `g` that when called as `g(x)` will output an\n * Observable.</span>\n *\n * `bindCallback` is not an operator because its input and output are not\n * Observables. The input is a function `func` with some parameters. The\n * last parameter must be a callback function that `func` calls when it is\n * done.\n *\n * The output of `bindCallback` is a function that takes the same parameters\n * as `func`, except the last one (the callback). When the output function\n * is called with arguments it will return an Observable. If function `func`\n * calls its callback with one argument, the Observable will emit that value.\n * If on the other hand the callback is called with multiple values the resulting\n * Observable will emit an array with said values as arguments.\n *\n * It is **very important** to remember that input function `func` is not called\n * when the output function is, but rather when the Observable returned by the output\n * function is subscribed. This means if `func` makes an AJAX request, that request\n * will be made every time someone subscribes to the resulting Observable, but not before.\n *\n * The last optional parameter - `scheduler` - can be used to control when the call\n * to `func` happens after someone subscribes to Observable, as well as when results\n * passed to callback will be emitted. By default, the subscription to an Observable calls `func`\n * synchronously, but using {@link asyncScheduler} as the last parameter will defer the call to `func`,\n * just like wrapping the call in `setTimeout` with a timeout of `0` would. If you were to use the async Scheduler\n * and call `subscribe` on the output Observable, all function calls that are currently executing\n * will end before `func` is invoked.\n *\n * By default, results passed to the callback are emitted immediately after `func` invokes the callback.\n * In particular, if the callback is called synchronously, then the subscription of the resulting Observable\n * will call the `next` function synchronously as well.  If you want to defer that call,\n * you may use {@link asyncScheduler} just as before.  This means that by using `Scheduler.async` you can\n * ensure that `func` always calls its callback asynchronously, thus avoiding terrifying Zalgo.\n *\n * Note that the Observable created by the output function will always emit a single value\n * and then complete immediately. If `func` calls the callback multiple times, values from subsequent\n * calls will not appear in the stream. If you need to listen for multiple calls,\n *  you probably want to use {@link fromEvent} or {@link fromEventPattern} instead.\n *\n * If `func` depends on some context (`this` property) and is not already bound, the context of `func`\n * will be the context that the output function has at call time. In particular, if `func`\n * is called as a method of some objec and if `func` is not already bound, in order to preserve the context\n * it is recommended that the context of the output function is set to that object as well.\n *\n * If the input function calls its callback in the \"node style\" (i.e. first argument to callback is\n * optional error parameter signaling whether the call failed or not), {@link bindNodeCallback}\n * provides convenient error handling and probably is a better choice.\n * `bindCallback` will treat such functions the same as any other and error parameters\n * (whether passed or not) will always be interpreted as regular callback argument.\n *\n * ## Examples\n *\n * ### Convert jQuery's getJSON to an Observable API\n * ```ts\n * import { bindCallback } from 'rxjs';\n * import * as jQuery from 'jquery';\n *\n * // Suppose we have jQuery.getJSON('/my/url', callback)\n * const getJSONAsObservable = bindCallback(jQuery.getJSON);\n * const result = getJSONAsObservable('/my/url');\n * result.subscribe(x => console.log(x), e => console.error(e));\n * ```\n *\n * ### Receive an array of arguments passed to a callback\n * ```ts\n * import { bindCallback } from 'rxjs';\n *\n * const someFunction = (a, b, c) => {\n *   console.log(a); // 5\n *   console.log(b); // 'some string'\n *   console.log(c); // {someProperty: 'someValue'}\n * };\n *\n * const boundSomeFunction = bindCallback(someFunction);\n * boundSomeFunction().subscribe(values => {\n *   console.log(values) // [5, 'some string', {someProperty: 'someValue'}]\n * });\n * ```\n *\n * ### Compare behaviour with and without async Scheduler\n * ```ts\n * import { bindCallback } from 'rxjs';\n *\n * function iCallMyCallbackSynchronously(cb) {\n *   cb();\n * }\n *\n * const boundSyncFn = bindCallback(iCallMyCallbackSynchronously);\n * const boundAsyncFn = bindCallback(iCallMyCallbackSynchronously, null, Rx.Scheduler.async);\n *\n * boundSyncFn().subscribe(() => console.log('I was sync!'));\n * boundAsyncFn().subscribe(() => console.log('I was async!'));\n * console.log('This happened...');\n *\n * // Logs:\n * // I was sync!\n * // This happened...\n * // I was async!\n * ```\n *\n * ### Use bindCallback on an object method\n * ```ts\n * import { bindCallback } from 'rxjs';\n *\n * const boundMethod = bindCallback(someObject.methodWithCallback);\n * boundMethod.call(someObject) // make sure methodWithCallback has access to someObject\n * .subscribe(subscriber);\n * ```\n *\n * @see {@link bindNodeCallback}\n * @see {@link from}\n *\n * @param {function} func A function with a callback as the last parameter.\n * @param {SchedulerLike} [scheduler] The scheduler on which to schedule the\n * callbacks.\n * @return {function(...params: *): Observable} A function which returns the\n * Observable that delivers the same values the callback would deliver.\n * @name bindCallback\n */\nexport function bindCallback<T>(\n  callbackFunc: Function,\n  resultSelector?: Function|SchedulerLike,\n  scheduler?: SchedulerLike\n): (...args: any[]) => Observable<T> {\n  if (resultSelector) {\n    if (isScheduler(resultSelector)) {\n      scheduler = resultSelector;\n    } else {\n      // DEPRECATED PATH\n      return (...args: any[]) => bindCallback(callbackFunc, scheduler)(...args).pipe(\n        map((args) => isArray(args) ? resultSelector(...args) : resultSelector(args)),\n      );\n    }\n  }\n\n  return function (this: any, ...args: any[]): Observable<T> {\n    const context = this;\n    let subject: AsyncSubject<T>;\n    const params = {\n      context,\n      subject,\n      callbackFunc,\n      scheduler,\n    };\n    return new Observable<T>(subscriber => {\n      if (!scheduler) {\n        if (!subject) {\n          subject = new AsyncSubject<T>();\n          const handler = (...innerArgs: any[]) => {\n            subject.next(innerArgs.length <= 1 ? innerArgs[0] : innerArgs);\n            subject.complete();\n          };\n\n          try {\n            callbackFunc.apply(context, [...args, handler]);\n          } catch (err) {\n            if (canReportError(subject)) {\n              subject.error(err);\n            } else {\n              console.warn(err);\n            }\n          }\n        }\n        return subject.subscribe(subscriber);\n      } else {\n        const state: DispatchState<T> = {\n          args, subscriber, params,\n        };\n        return scheduler.schedule<DispatchState<T>>(dispatch, 0, state);\n      }\n    });\n  };\n}\n\ninterface DispatchState<T> {\n  args: any[];\n  subscriber: Subscriber<T>;\n  params: ParamsContext<T>;\n}\n\ninterface ParamsContext<T> {\n  callbackFunc: Function;\n  scheduler: SchedulerLike;\n  context: any;\n  subject: AsyncSubject<T>;\n}\n\nfunction dispatch<T>(this: SchedulerAction<DispatchState<T>>, state: DispatchState<T>) {\n  const self = this;\n  const { args, subscriber, params } = state;\n  const { callbackFunc, context, scheduler } = params;\n  let { subject } = params;\n  if (!subject) {\n    subject = params.subject = new AsyncSubject<T>();\n\n    const handler = (...innerArgs: any[]) => {\n      const value = innerArgs.length <= 1 ? innerArgs[0] : innerArgs;\n      this.add(scheduler.schedule<NextState<T>>(dispatchNext, 0, { value, subject }));\n    };\n\n    try {\n      callbackFunc.apply(context, [...args, handler]);\n    } catch (err) {\n      subject.error(err);\n    }\n  }\n\n  this.add(subject.subscribe(subscriber));\n}\n\ninterface NextState<T> {\n  subject: AsyncSubject<T>;\n  value: T;\n}\n\nfunction dispatchNext<T>(this: SchedulerAction<NextState<T>>, state: NextState<T>) {\n  const { value, subject } = state;\n  subject.next(value);\n  subject.complete();\n}\n\ninterface ErrorState<T> {\n  subject: AsyncSubject<T>;\n  err: any;\n}\n\nfunction dispatchError<T>(this: SchedulerAction<ErrorState<T>>, state: ErrorState<T>) {\n  const { err, subject } = state;\n  subject.error(err);\n}\n","import { Observable } from '../Observable';\nimport { AsyncSubject } from '../AsyncSubject';\nimport { Subscriber } from '../Subscriber';\nimport { SchedulerAction, SchedulerLike } from '../types';\nimport { map } from '../operators/map';\nimport { canReportError } from '../util/canReportError';\nimport { isScheduler } from '../util/isScheduler';\nimport { isArray } from '../util/isArray';\n\n/* tslint:disable:max-line-length */\n/** @deprecated resultSelector is deprecated, pipe to map instead */\nexport function bindNodeCallback(callbackFunc: Function, resultSelector: Function, scheduler?: SchedulerLike): (...args: any[]) => Observable<any>;\n\nexport function bindNodeCallback<R1, R2, R3, R4>(callbackFunc: (callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<R1, R2, R3>(callbackFunc: (callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): () => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<R1, R2>(callbackFunc: (callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): () => Observable<[R1, R2]>;\nexport function bindNodeCallback<R1>(callbackFunc: (callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): () => Observable<R1>;\nexport function bindNodeCallback(callbackFunc: (callback: (err: any) => any) => any, scheduler?: SchedulerLike): () => Observable<void>;\n\nexport function bindNodeCallback<A1, R1, R2, R3, R4>(callbackFunc: (arg1: A1, callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<A1, R1, R2, R3>(callbackFunc: (arg1: A1, callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<A1, R1, R2>(callbackFunc: (arg1: A1, callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<[R1, R2]>;\nexport function bindNodeCallback<A1, R1>(callbackFunc: (arg1: A1, callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<R1>;\nexport function bindNodeCallback<A1>(callbackFunc: (arg1: A1, callback: (err: any) => any) => any, scheduler?: SchedulerLike): (arg1: A1) => Observable<void>;\n\nexport function bindNodeCallback<A1, A2, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<A1, A2, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<A1, A2, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<[R1, R2]>;\nexport function bindNodeCallback<A1, A2, R1>(callbackFunc: (arg1: A1, arg2: A2, callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<R1>;\nexport function bindNodeCallback<A1, A2>(callbackFunc: (arg1: A1, arg2: A2, callback: (err: any) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2) => Observable<void>;\n\nexport function bindNodeCallback<A1, A2, A3, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<A1, A2, A3, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<A1, A2, A3, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<[R1, R2]>;\nexport function bindNodeCallback<A1, A2, A3, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<R1>;\nexport function bindNodeCallback<A1, A2, A3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, callback: (err: any) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3) => Observable<void>;\n\nexport function bindNodeCallback<A1, A2, A3, A4, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<A1, A2, A3, A4, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<A1, A2, A3, A4, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<[R1, R2]>;\nexport function bindNodeCallback<A1, A2, A3, A4, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<R1>;\nexport function bindNodeCallback<A1, A2, A3, A4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, callback: (err: any) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4) => Observable<void>;\n\nexport function bindNodeCallback<A1, A2, A3, A4, A5, R1, R2, R3, R4>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (err: any, res1: R1, res2: R2, res3: R3, res4: R4, ...args: any[]) => any) => any, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\nexport function bindNodeCallback<A1, A2, A3, A4, A5, R1, R2, R3>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (err: any, res1: R1, res2: R2, res3: R3) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<[R1, R2, R3]>;\nexport function bindNodeCallback<A1, A2, A3, A4, A5, R1, R2>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (err: any, res1: R1, res2: R2) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<[R1, R2]>;\nexport function bindNodeCallback<A1, A2, A3, A4, A5, R1>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (err: any, res1: R1) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<R1>;\nexport function bindNodeCallback<A1, A2, A3, A4, A5>(callbackFunc: (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5, callback: (err: any) => any) => any, scheduler?: SchedulerLike): (arg1: A1, arg2: A2, arg3: A3, arg4: A4, arg5: A5) => Observable<void>; /* tslint:enable:max-line-length */\n\nexport function bindNodeCallback(callbackFunc: Function, scheduler?: SchedulerLike): (...args: any[]) => Observable<any[]>;\n/**\n * Converts a Node.js-style callback API to a function that returns an\n * Observable.\n *\n * <span class=\"informal\">It's just like {@link bindCallback}, but the\n * callback is expected to be of type `callback(error, result)`.</span>\n *\n * `bindNodeCallback` is not an operator because its input and output are not\n * Observables. The input is a function `func` with some parameters, but the\n * last parameter must be a callback function that `func` calls when it is\n * done. The callback function is expected to follow Node.js conventions,\n * where the first argument to the callback is an error object, signaling\n * whether call was successful. If that object is passed to callback, it means\n * something went wrong.\n *\n * The output of `bindNodeCallback` is a function that takes the same\n * parameters as `func`, except the last one (the callback). When the output\n * function is called with arguments, it will return an Observable.\n * If `func` calls its callback with error parameter present, Observable will\n * error with that value as well. If error parameter is not passed, Observable will emit\n * second parameter. If there are more parameters (third and so on),\n * Observable will emit an array with all arguments, except first error argument.\n *\n * Note that `func` will not be called at the same time output function is,\n * but rather whenever resulting Observable is subscribed. By default call to\n * `func` will happen synchronously after subscription, but that can be changed\n * with proper `scheduler` provided as optional third parameter. {@link SchedulerLike}\n * can also control when values from callback will be emitted by Observable.\n * To find out more, check out documentation for {@link bindCallback}, where\n * {@link SchedulerLike} works exactly the same.\n *\n * As in {@link bindCallback}, context (`this` property) of input function will be set to context\n * of returned function, when it is called.\n *\n * After Observable emits value, it will complete immediately. This means\n * even if `func` calls callback again, values from second and consecutive\n * calls will never appear on the stream. If you need to handle functions\n * that call callbacks multiple times, check out {@link fromEvent} or\n * {@link fromEventPattern} instead.\n *\n * Note that `bindNodeCallback` can be used in non-Node.js environments as well.\n * \"Node.js-style\" callbacks are just a convention, so if you write for\n * browsers or any other environment and API you use implements that callback style,\n * `bindNodeCallback` can be safely used on that API functions as well.\n *\n * Remember that Error object passed to callback does not have to be an instance\n * of JavaScript built-in `Error` object. In fact, it does not even have to an object.\n * Error parameter of callback function is interpreted as \"present\", when value\n * of that parameter is truthy. It could be, for example, non-zero number, non-empty\n * string or boolean `true`. In all of these cases resulting Observable would error\n * with that value. This means usually regular style callbacks will fail very often when\n * `bindNodeCallback` is used. If your Observable errors much more often then you\n * would expect, check if callback really is called in Node.js-style and, if not,\n * switch to {@link bindCallback} instead.\n *\n * Note that even if error parameter is technically present in callback, but its value\n * is falsy, it still won't appear in array emitted by Observable.\n *\n * ## Examples\n * ###  Read a file from the filesystem and get the data as an Observable\n * ```ts\n * import * as fs from 'fs';\n * const readFileAsObservable = bindNodeCallback(fs.readFile);\n * const result = readFileAsObservable('./roadNames.txt', 'utf8');\n * result.subscribe(x => console.log(x), e => console.error(e));\n * ```\n *\n * ### Use on function calling callback with multiple arguments\n * ```ts\n * someFunction((err, a, b) => {\n *   console.log(err); // null\n *   console.log(a); // 5\n *   console.log(b); // \"some string\"\n * });\n * const boundSomeFunction = bindNodeCallback(someFunction);\n * boundSomeFunction()\n * .subscribe(value => {\n *   console.log(value); // [5, \"some string\"]\n * });\n * ```\n *\n * ### Use on function calling callback in regular style\n * ```ts\n * someFunction(a => {\n *   console.log(a); // 5\n * });\n * const boundSomeFunction = bindNodeCallback(someFunction);\n * boundSomeFunction()\n * .subscribe(\n *   value => {}             // never gets called\n *   err => console.log(err) // 5\n * );\n * ```\n *\n * @see {@link bindCallback}\n * @see {@link from}\n *\n * @param {function} func Function with a Node.js-style callback as the last parameter.\n * @param {SchedulerLike} [scheduler] The scheduler on which to schedule the\n * callbacks.\n * @return {function(...params: *): Observable} A function which returns the\n * Observable that delivers the same values the Node.js callback would\n * deliver.\n * @name bindNodeCallback\n */\nexport function bindNodeCallback<T>(\n  callbackFunc: Function,\n  resultSelector: Function|SchedulerLike,\n  scheduler?: SchedulerLike\n): (...args: any[]) => Observable<T> {\n\n  if (resultSelector) {\n    if (isScheduler(resultSelector)) {\n      scheduler = resultSelector;\n    } else {\n      // DEPRECATED PATH\n      return (...args: any[]) => bindNodeCallback(callbackFunc, scheduler)(...args).pipe(\n        map(args => isArray(args) ? resultSelector(...args) : resultSelector(args))\n      );\n    }\n  }\n\n  return function(this: any, ...args: any[]): Observable<T> {\n    const params: ParamsState<T> = {\n      subject: undefined,\n      args,\n      callbackFunc,\n      scheduler,\n      context: this,\n    };\n    return new Observable<T>(subscriber => {\n      const { context } = params;\n      let { subject } = params;\n      if (!scheduler) {\n        if (!subject) {\n          subject = params.subject = new AsyncSubject<T>();\n          const handler = (...innerArgs: any[]) => {\n            const err = innerArgs.shift();\n\n            if (err) {\n              subject.error(err);\n              return;\n            }\n\n            subject.next(innerArgs.length <= 1 ? innerArgs[0] : innerArgs);\n            subject.complete();\n          };\n\n          try {\n            callbackFunc.apply(context, [...args, handler]);\n          } catch (err) {\n            if (canReportError(subject)) {\n              subject.error(err);\n            } else {\n              console.warn(err);\n            }\n          }\n        }\n        return subject.subscribe(subscriber);\n      } else {\n        return scheduler.schedule<DispatchState<T>>(dispatch, 0, { params, subscriber, context });\n      }\n    });\n  };\n}\n\ninterface DispatchState<T> {\n  subscriber: Subscriber<T>;\n  context: any;\n  params: ParamsState<T>;\n}\n\ninterface ParamsState<T> {\n  callbackFunc: Function;\n  args: any[];\n  scheduler: SchedulerLike;\n  subject: AsyncSubject<T>;\n  context: any;\n}\n\nfunction dispatch<T>(this: SchedulerAction<DispatchState<T>>, state: DispatchState<T>) {\n  const { params, subscriber, context } = state;\n  const { callbackFunc, args, scheduler } = params;\n  let subject = params.subject;\n\n  if (!subject) {\n    subject = params.subject = new AsyncSubject<T>();\n\n    const handler = (...innerArgs: any[]) => {\n      const err = innerArgs.shift();\n      if (err) {\n        this.add(scheduler.schedule<DispatchErrorArg<T>>(dispatchError, 0, { err, subject }));\n      } else {\n        const value = innerArgs.length <= 1 ? innerArgs[0] : innerArgs;\n        this.add(scheduler.schedule<DispatchNextArg<T>>(dispatchNext, 0, { value, subject }));\n      }\n    };\n\n    try {\n      callbackFunc.apply(context, [...args, handler]);\n    } catch (err) {\n      this.add(scheduler.schedule<DispatchErrorArg<T>>(dispatchError, 0, { err, subject }));\n    }\n  }\n\n  this.add(subject.subscribe(subscriber));\n}\n\ninterface DispatchNextArg<T> {\n  subject: AsyncSubject<T>;\n  value: T;\n}\n\nfunction dispatchNext<T>(arg: DispatchNextArg<T>) {\n  const { value, subject } = arg;\n  subject.next(value);\n  subject.complete();\n}\n\ninterface DispatchErrorArg<T> {\n  subject: AsyncSubject<T>;\n  err: any;\n}\n\nfunction dispatchError<T>(arg: DispatchErrorArg<T>) {\n  const { err, subject } = arg;\n  subject.error(err);\n}\n","import { Observable } from '../Observable';\nimport { isArray } from '../util/isArray';\nimport { isFunction } from '../util/isFunction';\nimport { NodeEventHandler } from './fromEvent';\nimport { map } from '../operators/map';\n\n/* tslint:disable:max-line-length */\nexport function fromEventPattern<T>(addHandler: (handler: NodeEventHandler) => any, removeHandler?: (handler: NodeEventHandler, signal?: any) => void): Observable<T>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function fromEventPattern<T>(addHandler: (handler: NodeEventHandler) => any, removeHandler?: (handler: NodeEventHandler, signal?: any) => void, resultSelector?: (...args: any[]) => T): Observable<T>;\n/* tslint:enable:max-line-length */\n\n/**\n * Creates an Observable from an arbitrary API for registering event handlers.\n *\n * <span class=\"informal\">When that method for adding event handler was something {@link fromEvent}\n * was not prepared for.</span>\n *\n * ![](fromEventPattern.png)\n *\n * `fromEventPattern` allows you to convert into an Observable any API that supports registering handler functions\n * for events. It is similar to {@link fromEvent}, but far\n * more flexible. In fact, all use cases of {@link fromEvent} could be easily handled by\n * `fromEventPattern` (although in slightly more verbose way).\n *\n * This operator accepts as a first argument an `addHandler` function, which will be injected with\n * handler parameter. That handler is actually an event handler function that you now can pass\n * to API expecting it. `addHandler` will be called whenever Observable\n * returned by the operator is subscribed, so registering handler in API will not\n * necessarily happen when `fromEventPattern` is called.\n *\n * After registration, every time an event that we listen to happens,\n * Observable returned by `fromEventPattern` will emit value that event handler\n * function was called with. Note that if event handler was called with more\n * then one argument, second and following arguments will not appear in the Observable.\n *\n * If API you are using allows to unregister event handlers as well, you can pass to `fromEventPattern`\n * another function - `removeHandler` - as a second parameter. It will be injected\n * with the same handler function as before, which now you can use to unregister\n * it from the API. `removeHandler` will be called when consumer of resulting Observable\n * unsubscribes from it.\n *\n * In some APIs unregistering is actually handled differently. Method registering an event handler\n * returns some kind of token, which is later used to identify which function should\n * be unregistered or it itself has method that unregisters event handler.\n * If that is the case with your API, make sure token returned\n * by registering method is returned by `addHandler`. Then it will be passed\n * as a second argument to `removeHandler`, where you will be able to use it.\n *\n * If you need access to all event handler parameters (not only the first one),\n * or you need to transform them in any way, you can call `fromEventPattern` with optional\n * third parameter - project function which will accept all arguments passed to\n * event handler when it is called. Whatever is returned from project function will appear on\n * resulting stream instead of usual event handlers first argument. This means\n * that default project can be thought of as function that takes its first parameter\n * and ignores the rest.\n *\n * ## Example\n * ### Emits clicks happening on the DOM document\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * function addClickHandler(handler) {\n *   document.addEventListener('click', handler);\n * }\n *\n * function removeClickHandler(handler) {\n *   document.removeEventListener('click', handler);\n * }\n *\n * const clicks = fromEventPattern(\n *   addClickHandler,\n *   removeClickHandler\n * );\n * clicks.subscribe(x => console.log(x));\n *\n * // Whenever you click anywhere in the browser, DOM MouseEvent\n * // object will be logged.\n * ```\n *\n * ## Example\n * ### Use with API that returns cancellation token\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * const token = someAPI.registerEventHandler(function() {});\n * someAPI.unregisterEventHandler(token); // this APIs cancellation method accepts\n *                                        // not handler itself, but special token.\n *\n * const someAPIObservable = fromEventPattern(\n *   function(handler) { return someAPI.registerEventHandler(handler); }, // Note that we return the token here...\n *   function(handler, token) { someAPI.unregisterEventHandler(token); }  // ...to then use it here.\n * );\n * ```\n *\n * ## Example\n * ### Use with project function\n *\n * ```ts\n * import { fromEventPattern } from 'rxjs';\n *\n * someAPI.registerEventHandler((eventType, eventMessage) => {\n *   console.log(eventType, eventMessage); // Logs \"EVENT_TYPE\" \"EVENT_MESSAGE\" to console.\n * });\n *\n * const someAPIObservable = fromEventPattern(\n *   handler => someAPI.registerEventHandler(handler),\n *   handler => someAPI.unregisterEventHandler(handler)\n *   (eventType, eventMessage) => eventType + \" --- \" + eventMessage // without that function only \"EVENT_TYPE\"\n * );                                                                // would be emitted by the Observable\n *\n * someAPIObservable.subscribe(value => console.log(value));\n *\n * // Logs:\n * // \"EVENT_TYPE --- EVENT_MESSAGE\"\n * ```\n *\n * @see {@link fromEvent}\n * @see {@link bindCallback}\n * @see {@link bindNodeCallback}\n *\n * @param {function(handler: Function): any} addHandler A function that takes\n * a `handler` function as argument and attaches it somehow to the actual\n * source of events.\n * @param {function(handler: Function, token?: any): void} [removeHandler] A function that\n * takes a `handler` function as an argument and removes it from the event source. If `addHandler`\n * returns some kind of token, `removeHandler` function will have it as a second parameter.\n * @param {function(...args: any): T} [project] A function to\n * transform results. It takes the arguments from the event handler and\n * should return a single value.\n * @return {Observable<T>} Observable which, when an event happens, emits first parameter\n * passed to registered event handler. Alternatively it emits whatever project function returns\n * at that moment.\n * @static true\n * @name fromEventPattern\n * @owner Observable\n */\n\nexport function fromEventPattern<T>(addHandler: (handler: NodeEventHandler) => any,\n                                    removeHandler?: (handler: NodeEventHandler, signal?: any) => void,\n                                    resultSelector?: (...args: any[]) => T): Observable<T | T[]> {\n\n  if (resultSelector) {\n    // DEPRECATED PATH\n    return fromEventPattern<T>(addHandler, removeHandler).pipe(\n      map(args => isArray(args) ? resultSelector(...args) : resultSelector(args))\n    );\n  }\n\n  return new Observable<T | T[]>(subscriber => {\n    const handler = (...e: T[]) => subscriber.next(e.length === 1 ? e[0] : e);\n\n    let retValue: any;\n    try {\n      retValue = addHandler(handler);\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n\n    if (!isFunction(removeHandler)) {\n      return undefined;\n    }\n\n    return () => removeHandler(handler, retValue) ;\n  });\n}\n","import { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { identity } from '../util/identity';\nimport { SchedulerAction, SchedulerLike } from '../types';\nimport { isScheduler } from '../util/isScheduler';\n\nexport type ConditionFunc<S> = (state: S) => boolean;\nexport type IterateFunc<S> = (state: S) => S;\nexport type ResultFunc<S, T> = (state: S) => T;\n\ninterface SchedulerState<T, S> {\n  needIterate?: boolean;\n  state: S;\n  subscriber: Subscriber<T>;\n  condition?: ConditionFunc<S>;\n  iterate: IterateFunc<S>;\n  resultSelector: ResultFunc<S, T>;\n}\n\nexport interface GenerateBaseOptions<S> {\n  /**\n   * Initial state.\n   */\n  initialState: S;\n  /**\n   * Condition function that accepts state and returns boolean.\n   * When it returns false, the generator stops.\n   * If not specified, a generator never stops.\n   */\n  condition?: ConditionFunc<S>;\n  /**\n   * Iterate function that accepts state and returns new state.\n   */\n  iterate: IterateFunc<S>;\n  /**\n   * SchedulerLike to use for generation process.\n   * By default, a generator starts immediately.\n   */\n  scheduler?: SchedulerLike;\n}\n\nexport interface GenerateOptions<T, S> extends GenerateBaseOptions<S> {\n  /**\n   * Result selection function that accepts state and returns a value to emit.\n   */\n  resultSelector: ResultFunc<S, T>;\n}\n\n/**\n * Generates an observable sequence by running a state-driven loop\n * producing the sequence's elements, using the specified scheduler\n * to send out observer messages.\n *\n * ![](generate.png)\n *\n * @example <caption>Produces sequence of 0, 1, 2, ... 9, then completes.</caption>\n * const res = generate(0, x => x < 10, x => x + 1, x => x);\n *\n * @example <caption>Using asap scheduler, produces sequence of 2, 3, 5, then completes.</caption>\n * const res = generate(1, x => x < 5, x => x * 2, x => x + 1, asap);\n *\n * @see {@link from}\n * @see {@link Observable}\n *\n * @param {S} initialState Initial state.\n * @param {function (state: S): boolean} condition Condition to terminate generation (upon returning false).\n * @param {function (state: S): S} iterate Iteration step function.\n * @param {function (state: S): T} resultSelector Selector function for results produced in the sequence. (deprecated)\n * @param {SchedulerLike} [scheduler] A {@link SchedulerLike} on which to run the generator loop. If not provided, defaults to emit immediately.\n * @returns {Observable<T>} The generated sequence.\n */\n  export function generate<T, S>(initialState: S,\n                                 condition: ConditionFunc<S>,\n                                 iterate: IterateFunc<S>,\n                                 resultSelector: ResultFunc<S, T>,\n                                 scheduler?: SchedulerLike): Observable<T>;\n\n/**\n * Generates an Observable by running a state-driven loop\n * that emits an element on each iteration.\n *\n * <span class=\"informal\">Use it instead of nexting values in a for loop.</span>\n *\n * <img src=\"./img/generate.png\" width=\"100%\">\n *\n * `generate` allows you to create stream of values generated with a loop very similar to\n * traditional for loop. First argument of `generate` is a beginning value. Second argument\n * is a function that accepts this value and tests if some condition still holds. If it does,\n * loop continues, if not, it stops. Third value is a function which takes previously defined\n * value and modifies it in some way on each iteration. Note how these three parameters\n * are direct equivalents of three expressions in regular for loop: first expression\n * initializes some state (for example numeric index), second tests if loop can make next\n * iteration (for example if index is lower than 10) and third states how defined value\n * will be modified on every step (index will be incremented by one).\n *\n * Return value of a `generate` operator is an Observable that on each loop iteration\n * emits a value. First, condition function is ran. If it returned true, Observable\n * emits currently stored value (initial value at the first iteration) and then updates\n * that value with iterate function. If at some point condition returned false, Observable\n * completes at that moment.\n *\n * Optionally you can pass fourth parameter to `generate` - a result selector function which allows you\n * to immediately map value that would normally be emitted by an Observable.\n *\n * If you find three anonymous functions in `generate` call hard to read, you can provide\n * single object to the operator instead. That object has properties: `initialState`,\n * `condition`, `iterate` and `resultSelector`, which should have respective values that you\n * would normally pass to `generate`. `resultSelector` is still optional, but that form\n * of calling `generate` allows you to omit `condition` as well. If you omit it, that means\n * condition always holds, so output Observable will never complete.\n *\n * Both forms of `generate` can optionally accept a scheduler. In case of multi-parameter call,\n * scheduler simply comes as a last argument (no matter if there is resultSelector\n * function or not). In case of single-parameter call, you can provide it as a\n * `scheduler` property on object passed to the operator. In both cases scheduler decides when\n * next iteration of the loop will happen and therefore when next value will be emitted\n * by the Observable. For example to ensure that each value is pushed to the observer\n * on separate task in event loop, you could use `async` scheduler. Note that\n * by default (when no scheduler is passed) values are simply emitted synchronously.\n *\n *\n * @example <caption>Use with condition and iterate functions.</caption>\n * const generated = generate(0, x => x < 3, x => x + 1);\n *\n * generated.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('Yo!')\n * );\n *\n * // Logs:\n * // 0\n * // 1\n * // 2\n * // \"Yo!\"\n *\n *\n * @example <caption>Use with condition, iterate and resultSelector functions.</caption>\n * const generated = generate(0, x => x < 3, x => x + 1, x => x * 1000);\n *\n * generated.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('Yo!')\n * );\n *\n * // Logs:\n * // 0\n * // 1000\n * // 2000\n * // \"Yo!\"\n *\n *\n * @example <caption>Use with options object.</caption>\n * const generated = generate({\n *   initialState: 0,\n *   condition(value) { return value < 3; },\n *   iterate(value) { return value + 1; },\n *   resultSelector(value) { return value * 1000; }\n * });\n *\n * generated.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('Yo!')\n * );\n *\n * // Logs:\n * // 0\n * // 1000\n * // 2000\n * // \"Yo!\"\n *\n * @example <caption>Use options object without condition function.</caption>\n * const generated = generate({\n *   initialState: 0,\n *   iterate(value) { return value + 1; },\n *   resultSelector(value) { return value * 1000; }\n * });\n *\n * generated.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('Yo!') // This will never run.\n * );\n *\n * // Logs:\n * // 0\n * // 1000\n * // 2000\n * // 3000\n * // ...and never stops.\n *\n *\n * @see {@link from}\n * @see {@link index/Observable.create}\n *\n * @param {S} initialState Initial state.\n * @param {function (state: S): boolean} condition Condition to terminate generation (upon returning false).\n * @param {function (state: S): S} iterate Iteration step function.\n * @param {function (state: S): T} [resultSelector] Selector function for results produced in the sequence.\n * @param {Scheduler} [scheduler] A {@link Scheduler} on which to run the generator loop. If not provided, defaults to emitting immediately.\n * @return {Observable<T>} The generated sequence.\n */\nexport function generate<S>(initialState: S,\n                            condition: ConditionFunc<S>,\n                            iterate: IterateFunc<S>,\n                            scheduler?: SchedulerLike): Observable<S>;\n\n/**\n * Generates an observable sequence by running a state-driven loop\n * producing the sequence's elements, using the specified scheduler\n * to send out observer messages.\n * The overload accepts options object that might contain initial state, iterate,\n * condition and scheduler.\n *\n * ![](generate.png)\n *\n * @example <caption>Produces sequence of 0, 1, 2, ... 9, then completes.</caption>\n * const res = generate({\n *   initialState: 0,\n *   condition: x => x < 10,\n *   iterate: x => x + 1,\n * });\n *\n * @see {@link from}\n * @see {@link Observable}\n *\n * @param {GenerateBaseOptions<S>} options Object that must contain initialState, iterate and might contain condition and scheduler.\n * @returns {Observable<S>} The generated sequence.\n */\nexport function generate<S>(options: GenerateBaseOptions<S>): Observable<S>;\n\n/**\n * Generates an observable sequence by running a state-driven loop\n * producing the sequence's elements, using the specified scheduler\n * to send out observer messages.\n * The overload accepts options object that might contain initial state, iterate,\n * condition, result selector and scheduler.\n *\n * ![](generate.png)\n *\n * @example <caption>Produces sequence of 0, 1, 2, ... 9, then completes.</caption>\n * const res = generate({\n *   initialState: 0,\n *   condition: x => x < 10,\n *   iterate: x => x + 1,\n *   resultSelector: x => x,\n * });\n *\n * @see {@link from}\n * @see {@link Observable}\n *\n * @param {GenerateOptions<T, S>} options Object that must contain initialState, iterate, resultSelector and might contain condition and scheduler.\n * @returns {Observable<T>} The generated sequence.\n */\nexport function generate<T, S>(options: GenerateOptions<T, S>): Observable<T>;\n\nexport function generate<T, S>(initialStateOrOptions: S | GenerateOptions<T, S>,\n                               condition?: ConditionFunc<S>,\n                               iterate?: IterateFunc<S>,\n                               resultSelectorOrObservable?: (ResultFunc<S, T>) | SchedulerLike,\n                               scheduler?: SchedulerLike): Observable<T> {\n\n  let resultSelector: ResultFunc<S, T>;\n  let initialState: S;\n\n  if (arguments.length == 1) {\n    const options = initialStateOrOptions as GenerateOptions<T, S>;\n    initialState = options.initialState;\n    condition = options.condition;\n    iterate = options.iterate;\n    resultSelector = options.resultSelector || identity as ResultFunc<S, T>;\n    scheduler = options.scheduler;\n  } else if (resultSelectorOrObservable === undefined || isScheduler(resultSelectorOrObservable)) {\n    initialState = initialStateOrOptions as S;\n    resultSelector = identity as ResultFunc<S, T>;\n    scheduler = resultSelectorOrObservable as SchedulerLike;\n  } else {\n    initialState = initialStateOrOptions as S;\n    resultSelector = resultSelectorOrObservable as ResultFunc<S, T>;\n  }\n\n  return new Observable<T>(subscriber => {\n    let state = initialState;\n    if (scheduler) {\n      return scheduler.schedule<SchedulerState<T, S>>(dispatch, 0, {\n        subscriber,\n        iterate,\n        condition,\n        resultSelector,\n        state\n      });\n    }\n\n    do {\n      if (condition) {\n        let conditionResult: boolean;\n        try {\n          conditionResult = condition(state);\n        } catch (err) {\n          subscriber.error(err);\n          return undefined;\n        }\n        if (!conditionResult) {\n          subscriber.complete();\n          break;\n        }\n      }\n      let value: T;\n      try {\n        value = resultSelector(state);\n      } catch (err) {\n        subscriber.error(err);\n        return undefined;\n      }\n      subscriber.next(value);\n      if (subscriber.closed) {\n        break;\n      }\n      try {\n        state = iterate(state);\n      } catch (err) {\n        subscriber.error(err);\n        return undefined;\n      }\n    } while (true);\n\n    return undefined;\n  });\n}\n\nfunction dispatch<T, S>(this: SchedulerAction<SchedulerState<T, S>>, state: SchedulerState<T, S>) {\n  const { subscriber, condition } = state;\n  if (subscriber.closed) {\n    return undefined;\n  }\n  if (state.needIterate) {\n    try {\n      state.state = state.iterate(state.state);\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n  } else {\n    state.needIterate = true;\n  }\n  if (condition) {\n    let conditionResult: boolean;\n    try {\n      conditionResult = condition(state.state);\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n    if (!conditionResult) {\n      subscriber.complete();\n      return undefined;\n    }\n    if (subscriber.closed) {\n      return undefined;\n    }\n  }\n  let value: T;\n  try {\n    value = state.resultSelector(state.state);\n  } catch (err) {\n    subscriber.error(err);\n    return undefined;\n  }\n  if (subscriber.closed) {\n    return undefined;\n  }\n  subscriber.next(value);\n  if (subscriber.closed) {\n    return undefined;\n  }\n  return this.schedule(state);\n}\n","import { Observable } from '../Observable';\nimport { ObservableInput } from '../types';\nimport { from } from './from';\nimport { isArray } from '../util/isArray';\nimport { EMPTY } from './empty';\n\n/* tslint:disable:max-line-length */\nexport function onErrorResumeNext<R>(v: ObservableInput<R>): Observable<R>;\nexport function onErrorResumeNext<T2, T3, R>(v2: ObservableInput<T2>, v3: ObservableInput<T3>): Observable<R>;\nexport function onErrorResumeNext<T2, T3, T4, R>(v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>): Observable<R>;\nexport function onErrorResumeNext<T2, T3, T4, T5, R>(v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>): Observable<R>;\nexport function onErrorResumeNext<T2, T3, T4, T5, T6, R>(v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>): Observable<R>;\n\nexport function onErrorResumeNext<R>(...observables: Array<ObservableInput<any> | ((...values: Array<any>) => R)>): Observable<R>;\nexport function onErrorResumeNext<R>(array: ObservableInput<any>[]): Observable<R>;\n/* tslint:enable:max-line-length */\n\n/**\n * When any of the provided Observable emits an complete or error notification, it immediately subscribes to the next one\n * that was passed.\n *\n * <span class=\"informal\">Execute series of Observables no matter what, even if it means swallowing errors.</span>\n *\n * ![](onErrorResumeNext.png)\n *\n * `onErrorResumeNext` Will subscribe to each observable source it is provided, in order.\n * If the source it's subscribed to emits an error or completes, it will move to the next source\n * without error.\n *\n * If `onErrorResumeNext` is provided no arguments, or a single, empty array, it will return {@link index/EMPTY}.\n *\n * `onErrorResumeNext` is basically {@link concat}, only it will continue, even if one of its\n * sources emits an error.\n *\n * Note that there is no way to handle any errors thrown by sources via the result of\n * `onErrorResumeNext`. If you want to handle errors thrown in any given source, you can\n * always use the {@link catchError} operator on them before passing them into `onErrorResumeNext`.\n *\n * ## Example\n * Subscribe to the next Observable after map fails</caption>\n * ```ts\n * import { onErrorResumeNext, of } from 'rxjs';\n * import { map } from 'rxjs/operators';\n *\n * onErrorResumeNext(\n *  of(1, 2, 3, 0).pipe(\n *    map(x => {\n *      if (x === 0) throw Error();\n *      return 10 / x;\n *    })\n *  ),\n *  of(1, 2, 3),\n * )\n * .subscribe(\n *   val => console.log(val),\n *   err => console.log(err),          // Will never be called.\n *   () => console.log('done'),\n * );\n *\n * // Logs:\n * // 10\n * // 5\n * // 3.3333333333333335\n * // 1\n * // 2\n * // 3\n * // \"done\"\n * ```\n *\n * @see {@link concat}\n * @see {@link catchError}\n *\n * @param {...ObservableInput} sources Observables (or anything that *is* observable) passed either directly or as an array.\n * @return {Observable} An Observable that concatenates all sources, one after the other,\n * ignoring all errors, such that any error causes it to move on to the next source.\n */\nexport function onErrorResumeNext<T, R>(...sources: Array<ObservableInput<any> |\n                                                              Array<ObservableInput<any>> |\n                                                              ((...values: Array<any>) => R)>): Observable<R> {\n\n  if (sources.length === 0) {\n    return EMPTY;\n  }\n\n  const [ first, ...remainder ] = sources;\n\n  if (sources.length === 1 && isArray(first)) {\n    return onErrorResumeNext(...first);\n  }\n\n  return new Observable(subscriber => {\n    const subNext = () => subscriber.add(\n      onErrorResumeNext(...remainder).subscribe(subscriber)\n    );\n\n    return from(first).subscribe({\n      next(value) { subscriber.next(value); },\n      error: subNext,\n      complete: subNext,\n    });\n  });\n}\n","import { Observable } from '../Observable';\nimport { SchedulerAction, SchedulerLike } from '../types';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\n\n/**\n * Convert an object into an Observable of `[key, value]` pairs.\n *\n * <span class=\"informal\">Turn entries of an object into a stream.</span>\n *\n * <img src=\"./img/pairs.png\" width=\"100%\">\n *\n * `pairs` takes an arbitrary object and returns an Observable that emits arrays. Each\n * emitted array has exactly two elements - the first is a key from the object\n * and the second is a value corresponding to that key. Keys are extracted from\n * an object via `Object.keys` function, which means that they will be only\n * enumerable keys that are present on an object directly - not ones inherited\n * via prototype chain.\n *\n * By default these arrays are emitted synchronously. To change that you can\n * pass a {@link SchedulerLike} as a second argument to `pairs`.\n *\n * @example <caption>Converts a javascript object to an Observable</caption>\n * ```ts\n * import { pairs } from 'rxjs';\n *\n * const obj = {\n *   foo: 42,\n *   bar: 56,\n *   baz: 78\n * };\n *\n * pairs(obj)\n * .subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('the end!')\n * );\n *\n * // Logs:\n * // [\"foo\", 42],\n * // [\"bar\", 56],\n * // [\"baz\", 78],\n * // \"the end!\"\n * ```\n *\n * @param {Object} obj The object to inspect and turn into an\n * Observable sequence.\n * @param {Scheduler} [scheduler] An optional IScheduler to schedule\n * when resulting Observable will emit values.\n * @returns {(Observable<Array<string|T>>)} An observable sequence of\n * [key, value] pairs from the object.\n */\nexport function pairs<T>(obj: Object, scheduler?: SchedulerLike): Observable<[string, T]> {\n  if (!scheduler) {\n    return new Observable<[string, T]>(subscriber => {\n      const keys = Object.keys(obj);\n      for (let i = 0; i < keys.length && !subscriber.closed; i++) {\n        const key = keys[i];\n        if (obj.hasOwnProperty(key)) {\n          subscriber.next([key, obj[key]]);\n        }\n      }\n      subscriber.complete();\n    });\n  } else {\n    return new Observable<[string, T]>(subscriber => {\n      const keys = Object.keys(obj);\n      const subscription = new Subscription();\n      subscription.add(\n        scheduler.schedule<{ keys: string[], index: number, subscriber: Subscriber<[string, T]>, subscription: Subscription, obj: Object }>\n          (dispatch, 0, { keys, index: 0, subscriber, subscription, obj }));\n      return subscription;\n    });\n  }\n}\n\n/** @internal */\nexport function dispatch<T>(this: SchedulerAction<any>,\n                            state: { keys: string[], index: number, subscriber: Subscriber<[string, T]>, subscription: Subscription, obj: Object }) {\n  const { keys, index, subscriber, subscription, obj } = state;\n  if (!subscriber.closed) {\n    if (index < keys.length) {\n      const key = keys[index];\n      subscriber.next([key, obj[key]]);\n      subscription.add(this.schedule({ keys, index: index + 1, subscriber, subscription, obj }));\n    } else {\n      subscriber.complete();\n    }\n  }\n}\n","export function not(pred: Function, thisArg: any): Function {\n  function notPred(): any {\n    return !((<any> notPred).pred.apply((<any> notPred).thisArg, arguments));\n  }\n  (<any> notPred).pred = pred;\n  (<any> notPred).thisArg = thisArg;\n  return notPred;\n}","import { not } from '../util/not';\nimport { subscribeTo } from '../util/subscribeTo';\nimport { filter } from '../operators/filter';\nimport { ObservableInput } from '../types';\nimport { Observable } from '../Observable';\n\n/**\n * Splits the source Observable into two, one with values that satisfy a\n * predicate, and another with values that don't satisfy the predicate.\n *\n * <span class=\"informal\">It's like {@link filter}, but returns two Observables:\n * one like the output of {@link filter}, and the other with values that did not\n * pass the condition.</span>\n *\n * ![](partition.png)\n *\n * `partition` outputs an array with two Observables that partition the values\n * from the source Observable through the given `predicate` function. The first\n * Observable in that array emits source values for which the predicate argument\n * returns true. The second Observable emits source values for which the\n * predicate returns false. The first behaves like {@link filter} and the second\n * behaves like {@link filter} with the predicate negated.\n *\n * ## Example\n * Partition a set of numbers into odds and evens observables\n * ```ts\n * import { of, partition } from 'rxjs';\n *\n * const observableValues = of(1, 2, 3, 4, 5, 6);\n * const [evens$, odds$] = partition(observableValues, (value, index) => value % 2 === 0);\n *\n * odds$.subscribe(x => console.log('odds', x));\n * evens$.subscribe(x => console.log('evens', x));\n *\n * // Logs:\n * // odds 1\n * // odds 3\n * // odds 5\n * // evens 2\n * // evens 4\n * // evens 6\n * ```\n *\n * @see {@link filter}\n *\n * @param {function(value: T, index: number): boolean} predicate A function that\n * evaluates each value emitted by the source Observable. If it returns `true`,\n * the value is emitted on the first Observable in the returned array, if\n * `false` the value is emitted on the second Observable in the array. The\n * `index` parameter is the number `i` for the i-th source emission that has\n * happened since the subscription, starting from the number `0`.\n * @param {any} [thisArg] An optional argument to determine the value of `this`\n * in the `predicate` function.\n * @return {[Observable<T>, Observable<T>]} An array with two Observables: one\n * with values that passed the predicate, and another with values that did not\n * pass the predicate.\n */\nexport function partition<T>(\n  source: ObservableInput<T>,\n  predicate: (value: T, index: number) => boolean,\n  thisArg?: any\n): [Observable<T>, Observable<T>] {\n  return [\n    filter(predicate, thisArg)(new Observable<T>(subscribeTo(source))),\n    filter(not(predicate, thisArg) as any)(new Observable<T>(subscribeTo(source)))\n  ] as [Observable<T>, Observable<T>];\n}\n","import { SchedulerAction, SchedulerLike } from '../types';\nimport { Observable } from '../Observable';\n\n/**\n * Creates an Observable that emits a sequence of numbers within a specified\n * range.\n *\n * <span class=\"informal\">Emits a sequence of numbers in a range.</span>\n *\n * ![](range.png)\n *\n * `range` operator emits a range of sequential integers, in order, where you\n * select the `start` of the range and its `length`. By default, uses no\n * {@link SchedulerLike} and just delivers the notifications synchronously, but may use\n * an optional {@link SchedulerLike} to regulate those deliveries.\n *\n * ## Example\n * Emits the numbers 1 to 10</caption>\n * ```ts\n * import { range } from 'rxjs';\n *\n * const numbers = range(1, 10);\n * numbers.subscribe(x => console.log(x));\n * ```\n * @see {@link timer}\n * @see {@link index/interval}\n *\n * @param {number} [start=0] The value of the first integer in the sequence.\n * @param {number} count The number of sequential integers to generate.\n * @param {SchedulerLike} [scheduler] A {@link SchedulerLike} to use for scheduling\n * the emissions of the notifications.\n * @return {Observable} An Observable of numbers that emits a finite range of\n * sequential integers.\n * @static true\n * @name range\n * @owner Observable\n */\nexport function range(start: number = 0,\n                      count?: number,\n                      scheduler?: SchedulerLike): Observable<number> {\n  return new Observable<number>(subscriber => {\n    if (count === undefined) {\n      count = start;\n      start = 0;\n    }\n\n    let index = 0;\n    let current = start;\n\n    if (scheduler) {\n      return scheduler.schedule(dispatch, 0, {\n        index, count, start, subscriber\n      });\n    } else {\n      do {\n        if (index++ >= count) {\n          subscriber.complete();\n          break;\n        }\n        subscriber.next(current++);\n        if (subscriber.closed) {\n          break;\n        }\n      } while (true);\n    }\n\n    return undefined;\n  });\n}\n\n/** @internal */\nexport function dispatch(this: SchedulerAction<any>, state: any) {\n  const { start, index, count, subscriber } = state;\n\n  if (index >= count) {\n    subscriber.complete();\n    return;\n  }\n\n  subscriber.next(start);\n\n  if (subscriber.closed) {\n    return;\n  }\n\n  state.index = index + 1;\n  state.start = start + 1;\n\n  this.schedule(state);\n}\n","import { Observable } from '../Observable';\nimport { Unsubscribable, ObservableInput } from '../types';\nimport { from } from './from'; // from from from! LAWL\nimport { EMPTY } from './empty';\n\n/**\n * Creates an Observable that uses a resource which will be disposed at the same time as the Observable.\n *\n * <span class=\"informal\">Use it when you catch yourself cleaning up after an Observable.</span>\n *\n * `using` is a factory operator, which accepts two functions. First function returns a disposable resource.\n * It can be an arbitrary object that implements `unsubscribe` method. Second function will be injected with\n * that object and should return an Observable. That Observable can use resource object during its execution.\n * Both functions passed to `using` will be called every time someone subscribes - neither an Observable nor\n * resource object will be shared in any way between subscriptions.\n *\n * When Observable returned by `using` is subscribed, Observable returned from the second function will be subscribed\n * as well. All its notifications (nexted values, completion and error events) will be emitted unchanged by the output\n * Observable. If however someone unsubscribes from the Observable or source Observable completes or errors by itself,\n * the `unsubscribe` method on resource object will be called. This can be used to do any necessary clean up, which\n * otherwise would have to be handled by hand. Note that complete or error notifications are not emitted when someone\n * cancels subscription to an Observable via `unsubscribe`, so `using` can be used as a hook, allowing you to make\n * sure that all resources which need to exist during an Observable execution will be disposed at appropriate time.\n *\n * @see {@link defer}\n *\n * @param {function(): ISubscription} resourceFactory A function which creates any resource object\n * that implements `unsubscribe` method.\n * @param {function(resource: ISubscription): Observable<T>} observableFactory A function which\n * creates an Observable, that can use injected resource object.\n * @return {Observable<T>} An Observable that behaves the same as Observable returned by `observableFactory`, but\n * which - when completed, errored or unsubscribed - will also call `unsubscribe` on created resource object.\n */\nexport function using<T>(resourceFactory: () => Unsubscribable | void,\n                         observableFactory: (resource: Unsubscribable | void) => ObservableInput<T> | void): Observable<T> {\n  return new Observable<T>(subscriber => {\n    let resource: Unsubscribable | void;\n\n    try {\n      resource = resourceFactory();\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n\n    let result: ObservableInput<T> | void;\n    try {\n      result = observableFactory(resource);\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n\n    const source = result ? from(result) : EMPTY;\n    const subscription = source.subscribe(subscriber);\n    return () => {\n      subscription.unsubscribe();\n      if (resource) {\n        resource.unsubscribe();\n      }\n    };\n  });\n}\n","import { Observable } from '../Observable';\nimport { fromArray } from './fromArray';\nimport { isArray } from '../util/isArray';\nimport { Operator } from '../Operator';\nimport { ObservableInput, PartialObserver, ObservedValueOf } from '../types';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { OuterSubscriber } from '../OuterSubscriber';\nimport { InnerSubscriber } from '../InnerSubscriber';\nimport { subscribeToResult } from '../util/subscribeToResult';\nimport { iterator as Symbol_iterator } from '../../internal/symbol/iterator';\n\n/* tslint:disable:max-line-length */\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, R>(v1: O1, resultSelector: (v1: ObservedValueOf<O1>) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, R>(v1: O1, v2: O2, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>, v6: ObservedValueOf<O6>) => R): Observable<R>;\n\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(v1: O1, v2: O2): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>]>;\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>]>;\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>]>;\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>]>;\nexport function zip<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>, ObservedValueOf<O6>]>;\n\nexport function zip<O extends ObservableInput<any>>(array: O[]): Observable<ObservedValueOf<O>[]>;\nexport function zip<R>(array: ObservableInput<any>[]): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<O extends ObservableInput<any>, R>(array: O[], resultSelector: (...values: ObservedValueOf<O>[]) => R): Observable<R>;\n/** @deprecated resultSelector is no longer supported, pipe to map instead */\nexport function zip<R>(array: ObservableInput<any>[], resultSelector: (...values: any[]) => R): Observable<R>;\n\nexport function zip<O extends ObservableInput<any>>(...observables: O[]): Observable<ObservedValueOf<O>[]>;\nexport function zip<O extends ObservableInput<any>, R>(...observables: Array<O | ((...values: ObservedValueOf<O>[]) => R)>): Observable<R>;\nexport function zip<R>(...observables: Array<ObservableInput<any> | ((...values: Array<any>) => R)>): Observable<R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Combines multiple Observables to create an Observable whose values are calculated from the values, in order, of each\n * of its input Observables.\n *\n * If the last parameter is a function, this function is used to compute the created value from the input values.\n * Otherwise, an array of the input values is returned.\n *\n * ## Example\n * Combine age and name from different sources\n * ```ts\n * import { zip, of } from 'rxjs';\n * import { map } from 'rxjs/operators';\n *\n * let age$ = of<number>(27, 25, 29);\n * let name$ = of<string>('Foo', 'Bar', 'Beer');\n * let isDev$ = of<boolean>(true, true, false);\n *\n * zip(age$, name$, isDev$).pipe(\n *   map(([age, name, isDev]) => ({ age, name, isDev })),\n * )\n * .subscribe(x => console.log(x));\n *\n * // outputs\n * // { age: 27, name: 'Foo', isDev: true }\n * // { age: 25, name: 'Bar', isDev: true }\n * // { age: 29, name: 'Beer', isDev: false }\n * ```\n * @param observables\n * @return {Observable<R>}\n * @static true\n * @name zip\n * @owner Observable\n */\nexport function zip<O extends ObservableInput<any>, R>(\n  ...observables: Array<O | ((...values: ObservedValueOf<O>[]) => R)>\n): Observable<ObservedValueOf<O>[]|R> {\n  const resultSelector = <((...ys: Array<any>) => R)> observables[observables.length - 1];\n  if (typeof resultSelector === 'function') {\n    observables.pop();\n  }\n  return fromArray(observables, undefined).lift(new ZipOperator(resultSelector));\n}\n\nexport class ZipOperator<T, R> implements Operator<T, R> {\n\n  resultSelector: (...values: Array<any>) => R;\n\n  constructor(resultSelector?: (...values: Array<any>) => R) {\n    this.resultSelector = resultSelector;\n  }\n\n  call(subscriber: Subscriber<R>, source: any): any {\n    return source.subscribe(new ZipSubscriber(subscriber, this.resultSelector));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class ZipSubscriber<T, R> extends Subscriber<T> {\n  private values: any;\n  private resultSelector: (...values: Array<any>) => R;\n  private iterators: LookAheadIterator<any>[] = [];\n  private active = 0;\n\n  constructor(destination: Subscriber<R>,\n              resultSelector?: (...values: Array<any>) => R,\n              values: any = Object.create(null)) {\n    super(destination);\n    this.resultSelector = (typeof resultSelector === 'function') ? resultSelector : null;\n    this.values = values;\n  }\n\n  protected _next(value: any) {\n    const iterators = this.iterators;\n    if (isArray(value)) {\n      iterators.push(new StaticArrayIterator(value));\n    } else if (typeof value[Symbol_iterator] === 'function') {\n      iterators.push(new StaticIterator(value[Symbol_iterator]()));\n    } else {\n      iterators.push(new ZipBufferIterator(this.destination, this, value));\n    }\n  }\n\n  protected _complete() {\n    const iterators = this.iterators;\n    const len = iterators.length;\n\n    this.unsubscribe();\n\n    if (len === 0) {\n      this.destination.complete();\n      return;\n    }\n\n    this.active = len;\n    for (let i = 0; i < len; i++) {\n      let iterator: ZipBufferIterator<any, any> = <any>iterators[i];\n      if (iterator.stillUnsubscribed) {\n        const destination = this.destination as Subscription;\n        destination.add(iterator.subscribe(iterator, i));\n      } else {\n        this.active--; // not an observable\n      }\n    }\n  }\n\n  notifyInactive() {\n    this.active--;\n    if (this.active === 0) {\n      this.destination.complete();\n    }\n  }\n\n  checkIterators() {\n    const iterators = this.iterators;\n    const len = iterators.length;\n    const destination = this.destination;\n\n    // abort if not all of them have values\n    for (let i = 0; i < len; i++) {\n      let iterator = iterators[i];\n      if (typeof iterator.hasValue === 'function' && !iterator.hasValue()) {\n        return;\n      }\n    }\n\n    let shouldComplete = false;\n    const args: any[] = [];\n    for (let i = 0; i < len; i++) {\n      let iterator = iterators[i];\n      let result = iterator.next();\n\n      // check to see if it's completed now that you've gotten\n      // the next value.\n      if (iterator.hasCompleted()) {\n        shouldComplete = true;\n      }\n\n      if (result.done) {\n        destination.complete();\n        return;\n      }\n\n      args.push(result.value);\n    }\n\n    if (this.resultSelector) {\n      this._tryresultSelector(args);\n    } else {\n      destination.next(args);\n    }\n\n    if (shouldComplete) {\n      destination.complete();\n    }\n  }\n\n  protected _tryresultSelector(args: any[]) {\n    let result: any;\n    try {\n      result = this.resultSelector.apply(this, args);\n    } catch (err) {\n      this.destination.error(err);\n      return;\n    }\n    this.destination.next(result);\n  }\n}\n\ninterface LookAheadIterator<T> extends Iterator<T> {\n  hasValue(): boolean;\n  hasCompleted(): boolean;\n}\n\nclass StaticIterator<T> implements LookAheadIterator<T> {\n  private nextResult: IteratorResult<T>;\n\n  constructor(private iterator: Iterator<T>) {\n    this.nextResult = iterator.next();\n  }\n\n  hasValue() {\n    return true;\n  }\n\n  next(): IteratorResult<T> {\n    const result = this.nextResult;\n    this.nextResult = this.iterator.next();\n    return result;\n  }\n\n  hasCompleted() {\n    const nextResult = this.nextResult;\n    return nextResult && nextResult.done;\n  }\n}\n\nclass StaticArrayIterator<T> implements LookAheadIterator<T> {\n  private index = 0;\n  private length = 0;\n\n  constructor(private array: T[]) {\n    this.length = array.length;\n  }\n\n  [Symbol_iterator]() {\n    return this;\n  }\n\n  next(value?: any): IteratorResult<T> {\n    const i = this.index++;\n    const array = this.array;\n    return i < this.length ? { value: array[i], done: false } : { value: null, done: true };\n  }\n\n  hasValue() {\n    return this.array.length > this.index;\n  }\n\n  hasCompleted() {\n    return this.array.length === this.index;\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass ZipBufferIterator<T, R> extends OuterSubscriber<T, R> implements LookAheadIterator<T> {\n  stillUnsubscribed = true;\n  buffer: T[] = [];\n  isComplete = false;\n\n  constructor(destination: PartialObserver<T>,\n              private parent: ZipSubscriber<T, R>,\n              private observable: Observable<T>) {\n    super(destination);\n  }\n\n  [Symbol_iterator]() {\n    return this;\n  }\n\n  // NOTE: there is actually a name collision here with Subscriber.next and Iterator.next\n  //    this is legit because `next()` will never be called by a subscription in this case.\n  next(): IteratorResult<T> {\n    const buffer = this.buffer;\n    if (buffer.length === 0 && this.isComplete) {\n      return { value: null, done: true };\n    } else {\n      return { value: buffer.shift(), done: false };\n    }\n  }\n\n  hasValue() {\n    return this.buffer.length > 0;\n  }\n\n  hasCompleted() {\n    return this.buffer.length === 0 && this.isComplete;\n  }\n\n  notifyComplete() {\n    if (this.buffer.length > 0) {\n      this.isComplete = true;\n      this.parent.notifyInactive();\n    } else {\n      this.destination.complete();\n    }\n  }\n\n  notifyNext(outerValue: T, innerValue: any,\n             outerIndex: number, innerIndex: number,\n             innerSub: InnerSubscriber<T, R>): void {\n    this.buffer.push(innerValue);\n    this.parent.checkIterators();\n  }\n\n  subscribe(value: any, index: number) {\n    return subscribeToResult<any, any>(this, this.observable, this, index);\n  }\n}\n","/* Observable */\nexport { Observable } from './internal/Observable';\nexport { ConnectableObservable } from './internal/observable/ConnectableObservable';\nexport { GroupedObservable } from './internal/operators/groupBy';\nexport { Operator } from './internal/Operator';\nexport { observable } from './internal/symbol/observable';\n\n/* Subjects */\nexport { Subject } from './internal/Subject';\nexport { BehaviorSubject } from './internal/BehaviorSubject';\nexport { ReplaySubject } from './internal/ReplaySubject';\nexport { AsyncSubject } from './internal/AsyncSubject';\n\n/* Schedulers */\nexport { asap as asapScheduler } from './internal/scheduler/asap';\nexport { async as asyncScheduler } from './internal/scheduler/async';\nexport { queue as queueScheduler } from './internal/scheduler/queue';\nexport { animationFrame as animationFrameScheduler } from './internal/scheduler/animationFrame';\nexport { VirtualTimeScheduler, VirtualAction } from './internal/scheduler/VirtualTimeScheduler';\nexport { Scheduler } from './internal/Scheduler';\n\n/* Subscription */\nexport { Subscription } from './internal/Subscription';\nexport { Subscriber } from './internal/Subscriber';\n\n/* Notification */\nexport { Notification, NotificationKind } from './internal/Notification';\n\n/* Utils */\nexport { pipe } from './internal/util/pipe';\nexport { noop } from './internal/util/noop';\nexport { identity } from './internal/util/identity';\nexport { isObservable } from './internal/util/isObservable';\n\n/* Error types */\nexport { ArgumentOutOfRangeError } from './internal/util/ArgumentOutOfRangeError';\nexport { EmptyError } from './internal/util/EmptyError';\nexport { ObjectUnsubscribedError } from './internal/util/ObjectUnsubscribedError';\nexport { UnsubscriptionError } from './internal/util/UnsubscriptionError';\nexport { TimeoutError } from './internal/util/TimeoutError';\n\n/* Static observable creation exports */\nexport { bindCallback } from './internal/observable/bindCallback';\nexport { bindNodeCallback } from './internal/observable/bindNodeCallback';\nexport { combineLatest } from './internal/observable/combineLatest';\nexport { concat } from './internal/observable/concat';\nexport { defer } from './internal/observable/defer';\nexport { empty } from './internal/observable/empty';\nexport { forkJoin } from './internal/observable/forkJoin';\nexport { from } from './internal/observable/from';\nexport { fromEvent } from './internal/observable/fromEvent';\nexport { fromEventPattern } from './internal/observable/fromEventPattern';\nexport { generate } from './internal/observable/generate';\nexport { iif } from './internal/observable/iif';\nexport { interval } from './internal/observable/interval';\nexport { merge } from './internal/observable/merge';\nexport { never } from './internal/observable/never';\nexport { of } from './internal/observable/of';\nexport { onErrorResumeNext } from './internal/observable/onErrorResumeNext';\nexport { pairs } from './internal/observable/pairs';\nexport { partition } from './internal/observable/partition';\nexport { race } from './internal/observable/race';\nexport { range } from './internal/observable/range';\nexport { throwError } from './internal/observable/throwError';\nexport { timer } from './internal/observable/timer';\nexport { using } from './internal/observable/using';\nexport { zip } from './internal/observable/zip';\nexport { scheduled } from './internal/scheduled/scheduled';\n\n/* Constants */\nexport { EMPTY } from './internal/observable/empty';\nexport { NEVER } from './internal/observable/never';\n\n/* Types */\nexport * from './internal/types';\n\n/* Config */\nexport { config } from './internal/config';\n","export function getSymbolIterator(): symbol {\n  if (typeof Symbol !== 'function' || !Symbol.iterator) {\n    return '@@iterator' as any;\n  }\n\n  return Symbol.iterator;\n}\n\nexport const iterator = getSymbolIterator();\n\n/**\n * @deprecated use {@link iterator} instead\n */\nexport const $$iterator = iterator;\n","import { SchedulerLike } from '../types';\nimport { isScheduler } from '../util/isScheduler';\nimport { fromArray } from './fromArray';\nimport { Observable } from '../Observable';\nimport { scheduleArray } from '../scheduled/scheduleArray';\n\n/* tslint:disable:max-line-length */\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T>(a: T, scheduler: SchedulerLike): Observable<T>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2>(a: T, b: T2, scheduler: SchedulerLike): Observable<T | T2>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3>(a: T, b: T2, c: T3, scheduler: SchedulerLike): Observable<T | T2 | T3>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4>(a: T, b: T2, c: T3, d: T4, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4, T5>(a: T, b: T2, c: T3, d: T4, e: T5, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4, T5, T6>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5 | T6>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4, T5, T6, T7>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7, scheduler: SchedulerLike):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4, T5, T6, T7, T8>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7, h: T8, scheduler: SchedulerLike):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7 | T8>;\n/** @deprecated use {@link scheduled} instead `scheduled([a, b, c], scheduler)` */\nexport function of<T, T2, T3, T4, T5, T6, T7, T8, T9>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7, h: T8, i: T9, scheduler: SchedulerLike):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7 | T8 | T9>;\nexport function of<T>(...args: (T | SchedulerLike)[]): Observable<T>;\n\n// TODO(benlesh): Update the typings for this when we can switch to TS 3.x\nexport function of<T>(a: T): Observable<T>;\nexport function of<T, T2>(a: T, b: T2): Observable<T | T2>;\nexport function of<T, T2, T3>(a: T, b: T2, c: T3): Observable<T | T2 | T3>;\nexport function of<T, T2, T3, T4>(a: T, b: T2, c: T3, d: T4): Observable<T | T2 | T3 | T4>;\nexport function of<T, T2, T3, T4, T5>(a: T, b: T2, c: T3, d: T4, e: T5): Observable<T | T2 | T3 | T4 | T5>;\nexport function of<T, T2, T3, T4, T5, T6>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6): Observable<T | T2 | T3 | T4 | T5 | T6>;\nexport function of<T, T2, T3, T4, T5, T6, T7>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7>;\nexport function of<T, T2, T3, T4, T5, T6, T7, T8>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7, h: T8):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7 | T8>;\nexport function of<T, T2, T3, T4, T5, T6, T7, T8, T9>(a: T, b: T2, c: T3, d: T4, e: T5, f: T6, g: T7, h: T8, i: T9):\n  Observable<T | T2 | T3 | T4 | T5 | T6 | T7 | T8 | T9>;\nexport function of<T>(...args: T[]): Observable<T>;\n/* tslint:enable:max-line-length */\n\n/**\n * Converts the arguments to an observable sequence.\n *\n * <span class=\"informal\">Each argument becomes a `next` notification.</span>\n *\n * ![](of.png)\n *\n * Unlike {@link from}, it does not do any flattening and emits each argument in whole\n * as a separate `next` notification.\n *\n * ## Examples\n *\n * Emit the values `10, 20, 30`\n *\n * ```ts\n * import { of } from 'rxjs';\n *\n * of(10, 20, 30)\n * .subscribe(\n *   next => console.log('next:', next),\n *   err => console.log('error:', err),\n *   () => console.log('the end'),\n * );\n * // result:\n * // 'next: 10'\n * // 'next: 20'\n * // 'next: 30'\n *\n * ```\n *\n * Emit the array `[1,2,3]`\n *\n * ```ts\n * import { of } from 'rxjs';\n *\n * of([1,2,3])\n * .subscribe(\n *   next => console.log('next:', next),\n *   err => console.log('error:', err),\n *   () => console.log('the end'),\n * );\n * // result:\n * // 'next: [1,2,3]'\n * ```\n *\n * @see {@link from}\n * @see {@link range}\n *\n * @param {...T} values A comma separated list of arguments you want to be emitted\n * @return {Observable} An Observable that emits the arguments\n * described above and then completes.\n * @method of\n * @owner Observable\n */\n\nexport function of<T>(...args: Array<T | SchedulerLike>): Observable<T> {\n  let scheduler = args[args.length - 1] as SchedulerLike;\n  if (isScheduler(scheduler)) {\n    args.pop();\n    return scheduleArray(args as T[], scheduler);\n  } else {\n    return fromArray(args as T[]);\n  }\n}\n","import { isFunction } from './util/isFunction';\nimport { empty as emptyObserver } from './Observer';\nimport { Observer, PartialObserver, TeardownLogic } from './types';\nimport { Subscription } from './Subscription';\nimport { rxSubscriber as rxSubscriberSymbol } from '../internal/symbol/rxSubscriber';\nimport { config } from './config';\nimport { hostReportError } from './util/hostReportError';\n\n/**\n * Implements the {@link Observer} interface and extends the\n * {@link Subscription} class. While the {@link Observer} is the public API for\n * consuming the values of an {@link Observable}, all Observers get converted to\n * a Subscriber, in order to provide Subscription-like capabilities such as\n * `unsubscribe`. Subscriber is a common type in RxJS, and crucial for\n * implementing operators, but it is rarely used as a public API.\n *\n * @class Subscriber<T>\n */\nexport class Subscriber<T> extends Subscription implements Observer<T> {\n\n  [rxSubscriberSymbol]() { return this; }\n\n  /**\n   * A static factory for a Subscriber, given a (potentially partial) definition\n   * of an Observer.\n   * @param {function(x: ?T): void} [next] The `next` callback of an Observer.\n   * @param {function(e: ?any): void} [error] The `error` callback of an\n   * Observer.\n   * @param {function(): void} [complete] The `complete` callback of an\n   * Observer.\n   * @return {Subscriber<T>} A Subscriber wrapping the (partially defined)\n   * Observer represented by the given arguments.\n   * @nocollapse\n   */\n  static create<T>(next?: (x?: T) => void,\n                   error?: (e?: any) => void,\n                   complete?: () => void): Subscriber<T> {\n    const subscriber = new Subscriber(next, error, complete);\n    subscriber.syncErrorThrowable = false;\n    return subscriber;\n  }\n\n  /** @internal */ syncErrorValue: any = null;\n  /** @internal */ syncErrorThrown: boolean = false;\n  /** @internal */ syncErrorThrowable: boolean = false;\n\n  protected isStopped: boolean = false;\n  protected destination: PartialObserver<any> | Subscriber<any>; // this `any` is the escape hatch to erase extra type param (e.g. R)\n\n  /**\n   * @param {Observer|function(value: T): void} [destinationOrNext] A partially\n   * defined Observer or a `next` callback function.\n   * @param {function(e: ?any): void} [error] The `error` callback of an\n   * Observer.\n   * @param {function(): void} [complete] The `complete` callback of an\n   * Observer.\n   */\n  constructor(destinationOrNext?: PartialObserver<any> | ((value: T) => void),\n              error?: (e?: any) => void,\n              complete?: () => void) {\n    super();\n\n    switch (arguments.length) {\n      case 0:\n        this.destination = emptyObserver;\n        break;\n      case 1:\n        if (!destinationOrNext) {\n          this.destination = emptyObserver;\n          break;\n        }\n        if (typeof destinationOrNext === 'object') {\n          if (destinationOrNext instanceof Subscriber) {\n            this.syncErrorThrowable = destinationOrNext.syncErrorThrowable;\n            this.destination = destinationOrNext;\n            destinationOrNext.add(this);\n          } else {\n            this.syncErrorThrowable = true;\n            this.destination = new SafeSubscriber<T>(this, <PartialObserver<any>> destinationOrNext);\n          }\n          break;\n        }\n      default:\n        this.syncErrorThrowable = true;\n        this.destination = new SafeSubscriber<T>(this, <((value: T) => void)> destinationOrNext, error, complete);\n        break;\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive notifications of type `next` from\n   * the Observable, with a value. The Observable may call this method 0 or more\n   * times.\n   * @param {T} [value] The `next` value.\n   * @return {void}\n   */\n  next(value?: T): void {\n    if (!this.isStopped) {\n      this._next(value);\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive notifications of type `error` from\n   * the Observable, with an attached `Error`. Notifies the Observer that\n   * the Observable has experienced an error condition.\n   * @param {any} [err] The `error` exception.\n   * @return {void}\n   */\n  error(err?: any): void {\n    if (!this.isStopped) {\n      this.isStopped = true;\n      this._error(err);\n    }\n  }\n\n  /**\n   * The {@link Observer} callback to receive a valueless notification of type\n   * `complete` from the Observable. Notifies the Observer that the Observable\n   * has finished sending push-based notifications.\n   * @return {void}\n   */\n  complete(): void {\n    if (!this.isStopped) {\n      this.isStopped = true;\n      this._complete();\n    }\n  }\n\n  unsubscribe(): void {\n    if (this.closed) {\n      return;\n    }\n    this.isStopped = true;\n    super.unsubscribe();\n  }\n\n  protected _next(value: T): void {\n    this.destination.next(value);\n  }\n\n  protected _error(err: any): void {\n    this.destination.error(err);\n    this.unsubscribe();\n  }\n\n  protected _complete(): void {\n    this.destination.complete();\n    this.unsubscribe();\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _unsubscribeAndRecycle(): Subscriber<T> {\n    const {  _parentOrParents } = this;\n    this._parentOrParents = null;\n    this.unsubscribe();\n    this.closed = false;\n    this.isStopped = false;\n    this._parentOrParents = _parentOrParents;\n    return this;\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class SafeSubscriber<T> extends Subscriber<T> {\n\n  private _context: any;\n\n  constructor(private _parentSubscriber: Subscriber<T>,\n              observerOrNext?: PartialObserver<T> | ((value: T) => void),\n              error?: (e?: any) => void,\n              complete?: () => void) {\n    super();\n\n    let next: ((value: T) => void);\n    let context: any = this;\n\n    if (isFunction(observerOrNext)) {\n      next = (<((value: T) => void)> observerOrNext);\n    } else if (observerOrNext) {\n      next = (<PartialObserver<T>> observerOrNext).next;\n      error = (<PartialObserver<T>> observerOrNext).error;\n      complete = (<PartialObserver<T>> observerOrNext).complete;\n      if (observerOrNext !== emptyObserver) {\n        context = Object.create(observerOrNext);\n        if (isFunction(context.unsubscribe)) {\n          this.add(<() => void> context.unsubscribe.bind(context));\n        }\n        context.unsubscribe = this.unsubscribe.bind(this);\n      }\n    }\n\n    this._context = context;\n    this._next = next;\n    this._error = error;\n    this._complete = complete;\n  }\n\n  next(value?: T): void {\n    if (!this.isStopped && this._next) {\n      const { _parentSubscriber } = this;\n      if (!config.useDeprecatedSynchronousErrorHandling || !_parentSubscriber.syncErrorThrowable) {\n        this.__tryOrUnsub(this._next, value);\n      } else if (this.__tryOrSetError(_parentSubscriber, this._next, value)) {\n        this.unsubscribe();\n      }\n    }\n  }\n\n  error(err?: any): void {\n    if (!this.isStopped) {\n      const { _parentSubscriber } = this;\n      const { useDeprecatedSynchronousErrorHandling } = config;\n      if (this._error) {\n        if (!useDeprecatedSynchronousErrorHandling || !_parentSubscriber.syncErrorThrowable) {\n          this.__tryOrUnsub(this._error, err);\n          this.unsubscribe();\n        } else {\n          this.__tryOrSetError(_parentSubscriber, this._error, err);\n          this.unsubscribe();\n        }\n      } else if (!_parentSubscriber.syncErrorThrowable) {\n        this.unsubscribe();\n        if (useDeprecatedSynchronousErrorHandling) {\n          throw err;\n        }\n        hostReportError(err);\n      } else {\n        if (useDeprecatedSynchronousErrorHandling) {\n          _parentSubscriber.syncErrorValue = err;\n          _parentSubscriber.syncErrorThrown = true;\n        } else {\n          hostReportError(err);\n        }\n        this.unsubscribe();\n      }\n    }\n  }\n\n  complete(): void {\n    if (!this.isStopped) {\n      const { _parentSubscriber } = this;\n      if (this._complete) {\n        const wrappedComplete = () => this._complete.call(this._context);\n\n        if (!config.useDeprecatedSynchronousErrorHandling || !_parentSubscriber.syncErrorThrowable) {\n          this.__tryOrUnsub(wrappedComplete);\n          this.unsubscribe();\n        } else {\n          this.__tryOrSetError(_parentSubscriber, wrappedComplete);\n          this.unsubscribe();\n        }\n      } else {\n        this.unsubscribe();\n      }\n    }\n  }\n\n  private __tryOrUnsub(fn: Function, value?: any): void {\n    try {\n      fn.call(this._context, value);\n    } catch (err) {\n      this.unsubscribe();\n      if (config.useDeprecatedSynchronousErrorHandling) {\n        throw err;\n      } else {\n        hostReportError(err);\n      }\n    }\n  }\n\n  private __tryOrSetError(parent: Subscriber<T>, fn: Function, value?: any): boolean {\n    if (!config.useDeprecatedSynchronousErrorHandling) {\n      throw new Error('bad call');\n    }\n    try {\n      fn.call(this._context, value);\n    } catch (err) {\n      if (config.useDeprecatedSynchronousErrorHandling) {\n        parent.syncErrorValue = err;\n        parent.syncErrorThrown = true;\n        return true;\n      } else {\n        hostReportError(err);\n        return true;\n      }\n    }\n    return false;\n  }\n\n  /** @internal This is an internal implementation detail, do not use. */\n  _unsubscribe(): void {\n    const { _parentSubscriber } = this;\n    this._context = null;\n    this._parentSubscriber = null;\n    _parentSubscriber.unsubscribe();\n  }\n}\n","import { ObservableInput } from '../types';\nimport { subscribeToArray } from './subscribeToArray';\nimport { subscribeToPromise } from './subscribeToPromise';\nimport { subscribeToIterable } from './subscribeToIterable';\nimport { subscribeToObservable } from './subscribeToObservable';\nimport { isArrayLike } from './isArrayLike';\nimport { isPromise } from './isPromise';\nimport { isObject } from './isObject';\nimport { iterator as Symbol_iterator } from '../symbol/iterator';\nimport { observable as Symbol_observable } from '../symbol/observable';\nimport { Subscription } from '../Subscription';\nimport { Subscriber } from '../Subscriber';\n\nexport const subscribeTo = <T>(result: ObservableInput<T>): (subscriber: Subscriber<T>) => Subscription | void => {\n  if (!!result && typeof result[Symbol_observable] === 'function') {\n    return subscribeToObservable(result as any);\n  } else if (isArrayLike(result)) {\n    return subscribeToArray(result);\n  } else if (isPromise(result)) {\n    return subscribeToPromise(result as Promise<any>);\n  } else if (!!result && typeof result[Symbol_iterator] === 'function') {\n    return subscribeToIterable(result as any);\n  } else {\n    const value = isObject(result) ? 'an invalid object' : `'${result}'`;\n    const msg = `You provided ${value} where a stream was expected.`\n      + ' You can provide an Observable, Promise, Array, or Iterable.';\n    throw new TypeError(msg);\n  }\n};\n","import { Subscriber } from '../Subscriber';\nimport { observable as Symbol_observable } from '../symbol/observable';\n\n/**\n * Subscribes to an object that implements Symbol.observable with the given\n * Subscriber.\n * @param obj An object that implements Symbol.observable\n */\nexport const subscribeToObservable = <T>(obj: any) => (subscriber: Subscriber<T>) => {\n  const obs = obj[Symbol_observable]();\n  if (typeof obs.subscribe !== 'function') {\n    // Should be caught by observable subscribe function error handling.\n    throw new TypeError('Provided object does not correctly implement Symbol.observable');\n  } else {\n    return obs.subscribe(subscriber);\n  }\n};\n","import { Subscriber } from '../Subscriber';\nimport { hostReportError } from './hostReportError';\n\nexport const subscribeToPromise = <T>(promise: PromiseLike<T>) => (subscriber: Subscriber<T>) => {\n  promise.then(\n    (value) => {\n      if (!subscriber.closed) {\n        subscriber.next(value);\n        subscriber.complete();\n      }\n    },\n    (err: any) => subscriber.error(err)\n  )\n  .then(null, hostReportError);\n  return subscriber;\n};\n","import { Subscriber } from '../Subscriber';\nimport { iterator as Symbol_iterator } from '../symbol/iterator';\n\nexport const subscribeToIterable = <T>(iterable: Iterable<T>) => (subscriber: Subscriber<T>) => {\n  const iterator = iterable[Symbol_iterator]();\n  do {\n    const item = iterator.next();\n    if (item.done) {\n      subscriber.complete();\n      break;\n    }\n    subscriber.next(item.value);\n    if (subscriber.closed) {\n      break;\n    }\n  } while (true);\n\n  // Finalize the iterator if it happens to be a Generator\n  if (typeof iterator.return === 'function') {\n    subscriber.add(() => {\n      if (iterator.return) {\n        iterator.return();\n      }\n    });\n  }\n\n  return subscriber;\n};\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\n\n/**\n * The same Observable instance returned by any call to {@link empty} without a\n * `scheduler`. It is preferrable to use this over `empty()`.\n */\nexport const EMPTY = new Observable<never>(subscriber => subscriber.complete());\n\n/**\n * Creates an Observable that emits no items to the Observer and immediately\n * emits a complete notification.\n *\n * <span class=\"informal\">Just emits 'complete', and nothing else.\n * </span>\n *\n * ![](empty.png)\n *\n * This static operator is useful for creating a simple Observable that only\n * emits the complete notification. It can be used for composing with other\n * Observables, such as in a {@link mergeMap}.\n *\n * ## Examples\n * ### Emit the number 7, then complete\n * ```ts\n * import { empty } from 'rxjs';\n * import { startWith } from 'rxjs/operators';\n *\n * const result = empty().pipe(startWith(7));\n * result.subscribe(x => console.log(x));\n * ```\n *\n * ### Map and flatten only odd numbers to the sequence 'a', 'b', 'c'\n * ```ts\n * import { empty, interval, of } from 'rxjs';\n * import { mergeMap } from 'rxjs/operators';\n *\n * const interval$ = interval(1000);\n * const result = interval$.pipe(\n *   mergeMap(x => x % 2 === 1 ? of('a', 'b', 'c') : empty()),\n * );\n * result.subscribe(x => console.log(x));\n *\n * // Results in the following to the console:\n * // x is equal to the count on the interval eg(0,1,2,3,...)\n * // x will occur every 1000ms\n * // if x % 2 is equal to 1 print abc\n * // if x % 2 is not equal to 1 nothing will be output\n * ```\n *\n * @see {@link Observable}\n * @see {@link never}\n * @see {@link of}\n * @see {@link throwError}\n *\n * @param scheduler A {@link SchedulerLike} to use for scheduling\n * the emission of the complete notification.\n * @return An \"empty\" Observable: emits only the complete\n * notification.\n * @deprecated Deprecated in favor of using {@link EMPTY} constant, or {@link scheduled} (e.g. `scheduled([], scheduler)`)\n */\nexport function empty(scheduler?: SchedulerLike) {\n  return scheduler ? emptyScheduled(scheduler) : EMPTY;\n}\n\nfunction emptyScheduled(scheduler: SchedulerLike) {\n  return new Observable<never>(subscriber => scheduler.schedule(() => subscriber.complete()));\n}\n","import { Observable } from '../Observable';\nimport { noop } from '../util/noop';\n\n/**\n * An Observable that emits no items to the Observer and never completes.\n *\n * ![](never.png)\n *\n * A simple Observable that emits neither values nor errors nor the completion\n * notification. It can be used for testing purposes or for composing with other\n * Observables. Please note that by never emitting a complete notification, this\n * Observable keeps the subscription from being disposed automatically.\n * Subscriptions need to be manually disposed.\n *\n * ##  Example\n * ### Emit the number 7, then never emit anything else (not even complete)\n * ```ts\n * import { NEVER } from 'rxjs';\n * import { startWith } from 'rxjs/operators';\n *\n * function info() {\n *   console.log('Will not be called');\n * }\n * const result = NEVER.pipe(startWith(7));\n * result.subscribe(x => console.log(x), info, info);\n *\n * ```\n *\n * @see {@link Observable}\n * @see {@link index/EMPTY}\n * @see {@link of}\n * @see {@link throwError}\n */\nexport const NEVER = new Observable<never>(noop);\n\n/**\n * @deprecated Deprecated in favor of using {@link NEVER} constant.\n */\nexport function never () {\n  return NEVER;\n}\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { subscribeToArray } from '../util/subscribeToArray';\nimport { scheduleArray } from '../scheduled/scheduleArray';\n\nexport function fromArray<T>(input: ArrayLike<T>, scheduler?: SchedulerLike) {\n  if (!scheduler) {\n    return new Observable<T>(subscribeToArray(input));\n  } else {\n    return scheduleArray(input, scheduler);\n  }\n}\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { Subscription } from '../Subscription';\n\nexport function scheduleArray<T>(input: ArrayLike<T>, scheduler: SchedulerLike) {\n  return new Observable<T>(subscriber => {\n    const sub = new Subscription();\n    let i = 0;\n    sub.add(scheduler.schedule(function () {\n      if (i === input.length) {\n        subscriber.complete();\n        return;\n      }\n      subscriber.next(input[i++]);\n      if (!subscriber.closed) {\n        sub.add(this.schedule());\n      }\n    }));\n    return sub;\n  });\n}\n","import { Operator } from './Operator';\nimport { Observable } from './Observable';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { Observer, SubscriptionLike, TeardownLogic } from './types';\nimport { ObjectUnsubscribedError } from './util/ObjectUnsubscribedError';\nimport { SubjectSubscription } from './SubjectSubscription';\nimport { rxSubscriber as rxSubscriberSymbol } from '../internal/symbol/rxSubscriber';\n\n/**\n * @class SubjectSubscriber<T>\n */\nexport class SubjectSubscriber<T> extends Subscriber<T> {\n  constructor(protected destination: Subject<T>) {\n    super(destination);\n  }\n}\n\n/**\n * A Subject is a special type of Observable that allows values to be\n * multicasted to many Observers. Subjects are like EventEmitters.\n *\n * Every Subject is an Observable and an Observer. You can subscribe to a\n * Subject, and you can call next to feed values as well as error and complete.\n *\n * @class Subject<T>\n */\nexport class Subject<T> extends Observable<T> implements SubscriptionLike {\n\n  [rxSubscriberSymbol]() {\n    return new SubjectSubscriber(this);\n  }\n\n  observers: Observer<T>[] = [];\n\n  closed = false;\n\n  isStopped = false;\n\n  hasError = false;\n\n  thrownError: any = null;\n\n  constructor() {\n    super();\n  }\n\n  /**@nocollapse\n   * @deprecated use new Subject() instead\n  */\n  static create: Function = <T>(destination: Observer<T>, source: Observable<T>): AnonymousSubject<T> => {\n    return new AnonymousSubject<T>(destination, source);\n  }\n\n  lift<R>(operator: Operator<T, R>): Observable<R> {\n    const subject = new AnonymousSubject(this, this);\n    subject.operator = <any>operator;\n    return <any>subject;\n  }\n\n  next(value?: T) {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    }\n    if (!this.isStopped) {\n      const { observers } = this;\n      const len = observers.length;\n      const copy = observers.slice();\n      for (let i = 0; i < len; i++) {\n        copy[i].next(value);\n      }\n    }\n  }\n\n  error(err: any) {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    }\n    this.hasError = true;\n    this.thrownError = err;\n    this.isStopped = true;\n    const { observers } = this;\n    const len = observers.length;\n    const copy = observers.slice();\n    for (let i = 0; i < len; i++) {\n      copy[i].error(err);\n    }\n    this.observers.length = 0;\n  }\n\n  complete() {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    }\n    this.isStopped = true;\n    const { observers } = this;\n    const len = observers.length;\n    const copy = observers.slice();\n    for (let i = 0; i < len; i++) {\n      copy[i].complete();\n    }\n    this.observers.length = 0;\n  }\n\n  unsubscribe() {\n    this.isStopped = true;\n    this.closed = true;\n    this.observers = null;\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _trySubscribe(subscriber: Subscriber<T>): TeardownLogic {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    } else {\n      return super._trySubscribe(subscriber);\n    }\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>): Subscription {\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    } else if (this.hasError) {\n      subscriber.error(this.thrownError);\n      return Subscription.EMPTY;\n    } else if (this.isStopped) {\n      subscriber.complete();\n      return Subscription.EMPTY;\n    } else {\n      this.observers.push(subscriber);\n      return new SubjectSubscription(this, subscriber);\n    }\n  }\n\n  /**\n   * Creates a new Observable with this Subject as the source. You can do this\n   * to create customize Observer-side logic of the Subject and conceal it from\n   * code that uses the Observable.\n   * @return {Observable} Observable that the Subject casts to\n   */\n  asObservable(): Observable<T> {\n    const observable = new Observable<T>();\n    (<any>observable).source = this;\n    return observable;\n  }\n}\n\n/**\n * @class AnonymousSubject<T>\n */\nexport class AnonymousSubject<T> extends Subject<T> {\n  constructor(protected destination?: Observer<T>, source?: Observable<T>) {\n    super();\n    this.source = source;\n  }\n\n  next(value: T) {\n    const { destination } = this;\n    if (destination && destination.next) {\n      destination.next(value);\n    }\n  }\n\n  error(err: any) {\n    const { destination } = this;\n    if (destination && destination.error) {\n      this.destination.error(err);\n    }\n  }\n\n  complete() {\n    const { destination } = this;\n    if (destination && destination.complete) {\n      this.destination.complete();\n    }\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>): Subscription {\n    const { source } = this;\n    if (source) {\n      return this.source.subscribe(subscriber);\n    } else {\n      return Subscription.EMPTY;\n    }\n  }\n}\n","let nextHandle = 1;\nconst RESOLVED = (() => Promise.resolve())();\nconst activeHandles: { [key: number]: any } = {};\n\n/**\n * Finds the handle in the list of active handles, and removes it.\n * Returns `true` if found, `false` otherwise. Used both to clear\n * Immediate scheduled tasks, and to identify if a task should be scheduled.\n */\nfunction findAndClearHandle(handle: number): boolean {\n  if (handle in activeHandles) {\n    delete activeHandles[handle];\n    return true;\n  }\n  return false;\n}\n\n/**\n * Helper functions to schedule and unschedule microtasks.\n */\nexport const Immediate = {\n  setImmediate(cb: () => void): number {\n    const handle = nextHandle++;\n    activeHandles[handle] = true;\n    RESOLVED.then(() => findAndClearHandle(handle) && cb());\n    return handle;\n  },\n\n  clearImmediate(handle: number): void {\n    findAndClearHandle(handle);\n  },\n};\n\n/**\n * Used for internal testing purposes only. Do not export from library.\n */\nexport const TestTools = {\n  pending() {\n    return Object.keys(activeHandles).length;\n  }\n};\n","import { Immediate } from '../util/Immediate';\nimport { AsyncAction } from './AsyncAction';\nimport { AsapScheduler } from './AsapScheduler';\nimport { SchedulerAction } from '../types';\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class AsapAction<T> extends AsyncAction<T> {\n\n  constructor(protected scheduler: AsapScheduler,\n              protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  protected requestAsyncId(scheduler: AsapScheduler, id?: any, delay: number = 0): any {\n    // If delay is greater than 0, request as an async action.\n    if (delay !== null && delay > 0) {\n      return super.requestAsyncId(scheduler, id, delay);\n    }\n    // Push the action to the end of the scheduler queue.\n    scheduler.actions.push(this);\n    // If a microtask has already been scheduled, don't schedule another\n    // one. If a microtask hasn't been scheduled yet, schedule one now. Return\n    // the current scheduled microtask id.\n    return scheduler.scheduled || (scheduler.scheduled = Immediate.setImmediate(\n      scheduler.flush.bind(scheduler, null)\n    ));\n  }\n  protected recycleAsyncId(scheduler: AsapScheduler, id?: any, delay: number = 0): any {\n    // If delay exists and is greater than 0, or if the delay is null (the\n    // action wasn't rescheduled) but was originally scheduled as an async\n    // action, then recycle as an async action.\n    if ((delay !== null && delay > 0) || (delay === null && this.delay > 0)) {\n      return super.recycleAsyncId(scheduler, id, delay);\n    }\n    // If the scheduler queue is empty, cancel the requested microtask and\n    // set the scheduled flag to undefined so the next AsapAction will schedule\n    // its own.\n    if (scheduler.actions.length === 0) {\n      Immediate.clearImmediate(id);\n      scheduler.scheduled = undefined;\n    }\n    // Return undefined so the action knows to request a new async id if it's rescheduled.\n    return undefined;\n  }\n}\n","import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\nexport class AsapScheduler extends AsyncScheduler {\n  public flush(action?: AsyncAction<any>): void {\n\n    this.active = true;\n    this.scheduled = undefined;\n\n    const {actions} = this;\n    let error: any;\n    let index: number = -1;\n    let count: number = actions.length;\n    action = action || actions.shift();\n\n    do {\n      if (error = action.execute(action.state, action.delay)) {\n        break;\n      }\n    } while (++index < count && (action = actions.shift()));\n\n    this.active = false;\n\n    if (error) {\n      while (++index < count && (action = actions.shift())) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n","import { AsapAction } from './AsapAction';\nimport { AsapScheduler } from './AsapScheduler';\n\n/**\n *\n * Asap Scheduler\n *\n * <span class=\"informal\">Perform task as fast as it can be performed asynchronously</span>\n *\n * `asap` scheduler behaves the same as {@link asyncScheduler} scheduler when you use it to delay task\n * in time. If however you set delay to `0`, `asap` will wait for current synchronously executing\n * code to end and then it will try to execute given task as fast as possible.\n *\n * `asap` scheduler will do its best to minimize time between end of currently executing code\n * and start of scheduled task. This makes it best candidate for performing so called \"deferring\".\n * Traditionally this was achieved by calling `setTimeout(deferredTask, 0)`, but that technique involves\n * some (although minimal) unwanted delay.\n *\n * Note that using `asap` scheduler does not necessarily mean that your task will be first to process\n * after currently executing code. In particular, if some task was also scheduled with `asap` before,\n * that task will execute first. That being said, if you need to schedule task asynchronously, but\n * as soon as possible, `asap` scheduler is your best bet.\n *\n * ## Example\n * Compare async and asap scheduler<\n * ```ts\n * import { asapScheduler, asyncScheduler } from 'rxjs';\n *\n * asyncScheduler.schedule(() => console.log('async')); // scheduling 'async' first...\n * asapScheduler.schedule(() => console.log('asap'));\n *\n * // Logs:\n * // \"asap\"\n * // \"async\"\n * // ... but 'asap' goes first!\n * ```\n * @static true\n * @name asap\n * @owner Scheduler\n */\n\nexport const asap = new AsapScheduler(AsapAction);\n","import { Subject, SubjectSubscriber } from '../Subject';\nimport { Operator } from '../Operator';\nimport { Observable } from '../Observable';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { TeardownLogic } from '../types';\nimport { refCount as higherOrderRefCount } from '../operators/refCount';\n\n/**\n * @class ConnectableObservable<T>\n */\nexport class ConnectableObservable<T> extends Observable<T> {\n\n  protected _subject: Subject<T>;\n  protected _refCount: number = 0;\n  protected _connection: Subscription;\n  /** @internal */\n  _isComplete = false;\n\n  constructor(public source: Observable<T>,\n              protected subjectFactory: () => Subject<T>) {\n    super();\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>) {\n    return this.getSubject().subscribe(subscriber);\n  }\n\n  protected getSubject(): Subject<T> {\n    const subject = this._subject;\n    if (!subject || subject.isStopped) {\n      this._subject = this.subjectFactory();\n    }\n    return this._subject;\n  }\n\n  connect(): Subscription {\n    let connection = this._connection;\n    if (!connection) {\n      this._isComplete = false;\n      connection = this._connection = new Subscription();\n      connection.add(this.source\n        .subscribe(new ConnectableSubscriber(this.getSubject(), this)));\n      if (connection.closed) {\n        this._connection = null;\n        connection = Subscription.EMPTY;\n      }\n    }\n    return connection;\n  }\n\n  refCount(): Observable<T> {\n    return higherOrderRefCount()(this) as Observable<T>;\n  }\n}\n\nexport const connectableObservableDescriptor: PropertyDescriptorMap = (() => {\n  const connectableProto = <any>ConnectableObservable.prototype;\n  return {\n    operator: { value: null as null },\n    _refCount: { value: 0, writable: true },\n    _subject: { value: null as null, writable: true },\n    _connection: { value: null as null, writable: true },\n    _subscribe: { value: connectableProto._subscribe },\n    _isComplete: { value: connectableProto._isComplete, writable: true },\n    getSubject: { value: connectableProto.getSubject },\n    connect: { value: connectableProto.connect },\n    refCount: { value: connectableProto.refCount }\n  };\n})();\n\nclass ConnectableSubscriber<T> extends SubjectSubscriber<T> {\n  constructor(destination: Subject<T>,\n              private connectable: ConnectableObservable<T>) {\n    super(destination);\n  }\n  protected _error(err: any): void {\n    this._unsubscribe();\n    super._error(err);\n  }\n  protected _complete(): void {\n    this.connectable._isComplete = true;\n    this._unsubscribe();\n    super._complete();\n  }\n  protected _unsubscribe() {\n    const connectable = <any>this.connectable;\n    if (connectable) {\n      this.connectable = null;\n      const connection = connectable._connection;\n      connectable._refCount = 0;\n      connectable._subject = null;\n      connectable._connection = null;\n      if (connection) {\n        connection.unsubscribe();\n      }\n    }\n  }\n}\n\nclass RefCountOperator<T> implements Operator<T, T> {\n  constructor(private connectable: ConnectableObservable<T>) {\n  }\n  call(subscriber: Subscriber<T>, source: any): TeardownLogic {\n\n    const { connectable } = this;\n    (<any> connectable)._refCount++;\n\n    const refCounter = new RefCountSubscriber(subscriber, connectable);\n    const subscription = source.subscribe(refCounter);\n\n    if (!refCounter.closed) {\n      (<any> refCounter).connection = connectable.connect();\n    }\n\n    return subscription;\n  }\n}\n\nclass RefCountSubscriber<T> extends Subscriber<T> {\n\n  private connection: Subscription;\n\n  constructor(destination: Subscriber<T>,\n              private connectable: ConnectableObservable<T>) {\n    super(destination);\n  }\n\n  protected _unsubscribe() {\n\n    const { connectable } = this;\n    if (!connectable) {\n      this.connection = null;\n      return;\n    }\n\n    this.connectable = null;\n    const refCount = (<any> connectable)._refCount;\n    if (refCount <= 0) {\n      this.connection = null;\n      return;\n    }\n\n    (<any> connectable)._refCount = refCount - 1;\n    if (refCount > 1) {\n      this.connection = null;\n      return;\n    }\n\n    ///\n    // Compare the local RefCountSubscriber's connection Subscription to the\n    // connection Subscription on the shared ConnectableObservable. In cases\n    // where the ConnectableObservable source synchronously emits values, and\n    // the RefCountSubscriber's downstream Observers synchronously unsubscribe,\n    // execution continues to here before the RefCountOperator has a chance to\n    // supply the RefCountSubscriber with the shared connection Subscription.\n    // For example:\n    // ```\n    // range(0, 10).pipe(\n    //   publish(),\n    //   refCount(),\n    //   take(5),\n    // ).subscribe();\n    // ```\n    // In order to account for this case, RefCountSubscriber should only dispose\n    // the ConnectableObservable's shared connection Subscription if the\n    // connection Subscription exists, *and* either:\n    //   a. RefCountSubscriber doesn't have a reference to the shared connection\n    //      Subscription yet, or,\n    //   b. RefCountSubscriber's connection Subscription reference is identical\n    //      to the shared connection Subscription\n    ///\n    const { connection } = this;\n    const sharedConnection = (<any> connectable)._connection;\n    this.connection = null;\n\n    if (sharedConnection && (!connection || sharedConnection === connection)) {\n      sharedConnection.unsubscribe();\n    }\n  }\n}\n","/** @deprecated do not use, this is no longer checked by RxJS internals */\nexport const rxSubscriber = (() =>\n  typeof Symbol === 'function'\n    ? Symbol('rxSubscriber')\n    : '@@rxSubscriber_' + Math.random())();\n\n/**\n * @deprecated use rxSubscriber instead\n */\nexport const $$rxSubscriber = rxSubscriber;\n","import { Subscriber } from './Subscriber';\nimport { InnerSubscriber } from './InnerSubscriber';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class OuterSubscriber<T, R> extends Subscriber<T> {\n  notifyNext(outerValue: T, innerValue: R,\n             outerIndex: number, innerIndex: number,\n             innerSub: InnerSubscriber<T, R>): void {\n    this.destination.next(innerValue);\n  }\n\n  notifyError(error: any, innerSub: InnerSubscriber<T, R>): void {\n    this.destination.error(error);\n  }\n\n  notifyComplete(innerSub: InnerSubscriber<T, R>): void {\n    this.destination.complete();\n  }\n}\n","export function isObject(x: any): x is Object {\n  return x !== null && typeof x === 'object';\n}\n","import { Observable } from '../Observable';\nimport { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { Notification } from '../Notification';\nimport { MonoTypeOperatorFunction, PartialObserver, SchedulerAction, SchedulerLike, TeardownLogic } from '../types';\n\n/**\n *\n * Re-emits all notifications from source Observable with specified scheduler.\n *\n * <span class=\"informal\">Ensure a specific scheduler is used, from outside of an Observable.</span>\n *\n * `observeOn` is an operator that accepts a scheduler as a first parameter, which will be used to reschedule\n * notifications emitted by the source Observable. It might be useful, if you do not have control over\n * internal scheduler of a given Observable, but want to control when its values are emitted nevertheless.\n *\n * Returned Observable emits the same notifications (nexted values, complete and error events) as the source Observable,\n * but rescheduled with provided scheduler. Note that this doesn't mean that source Observables internal\n * scheduler will be replaced in any way. Original scheduler still will be used, but when the source Observable emits\n * notification, it will be immediately scheduled again - this time with scheduler passed to `observeOn`.\n * An anti-pattern would be calling `observeOn` on Observable that emits lots of values synchronously, to split\n * that emissions into asynchronous chunks. For this to happen, scheduler would have to be passed into the source\n * Observable directly (usually into the operator that creates it). `observeOn` simply delays notifications a\n * little bit more, to ensure that they are emitted at expected moments.\n *\n * As a matter of fact, `observeOn` accepts second parameter, which specifies in milliseconds with what delay notifications\n * will be emitted. The main difference between {@link delay} operator and `observeOn` is that `observeOn`\n * will delay all notifications - including error notifications - while `delay` will pass through error\n * from source Observable immediately when it is emitted. In general it is highly recommended to use `delay` operator\n * for any kind of delaying of values in the stream, while using `observeOn` to specify which scheduler should be used\n * for notification emissions in general.\n *\n * ## Example\n * Ensure values in subscribe are called just before browser repaint.\n * ```ts\n * import { interval } from 'rxjs';\n * import { observeOn } from 'rxjs/operators';\n *\n * const intervals = interval(10);                // Intervals are scheduled\n *                                                // with async scheduler by default...\n * intervals.pipe(\n *   observeOn(animationFrameScheduler),          // ...but we will observe on animationFrame\n * )                                              // scheduler to ensure smooth animation.\n * .subscribe(val => {\n *   someDiv.style.height = val + 'px';\n * });\n * ```\n *\n * @see {@link delay}\n *\n * @param {SchedulerLike} scheduler Scheduler that will be used to reschedule notifications from source Observable.\n * @param {number} [delay] Number of milliseconds that states with what delay every notification should be rescheduled.\n * @return {Observable<T>} Observable that emits the same notifications as the source Observable,\n * but with provided scheduler.\n *\n * @method observeOn\n * @owner Observable\n */\nexport function observeOn<T>(scheduler: SchedulerLike, delay: number = 0): MonoTypeOperatorFunction<T> {\n  return function observeOnOperatorFunction(source: Observable<T>): Observable<T> {\n    return source.lift(new ObserveOnOperator(scheduler, delay));\n  };\n}\n\nexport class ObserveOnOperator<T> implements Operator<T, T> {\n  constructor(private scheduler: SchedulerLike, private delay: number = 0) {\n  }\n\n  call(subscriber: Subscriber<T>, source: any): TeardownLogic {\n    return source.subscribe(new ObserveOnSubscriber(subscriber, this.scheduler, this.delay));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class ObserveOnSubscriber<T> extends Subscriber<T> {\n  /** @nocollapse */\n  static dispatch(this: SchedulerAction<ObserveOnMessage>, arg: ObserveOnMessage) {\n    const { notification, destination } = arg;\n    notification.observe(destination);\n    this.unsubscribe();\n  }\n\n  constructor(destination: Subscriber<T>,\n              private scheduler: SchedulerLike,\n              private delay: number = 0) {\n    super(destination);\n  }\n\n  private scheduleMessage(notification: Notification<any>): void {\n    const destination = this.destination as Subscription;\n    destination.add(this.scheduler.schedule(\n      ObserveOnSubscriber.dispatch,\n      this.delay,\n      new ObserveOnMessage(notification, this.destination)\n    ));\n  }\n\n  protected _next(value: T): void {\n    this.scheduleMessage(Notification.createNext(value));\n  }\n\n  protected _error(err: any): void {\n    this.scheduleMessage(Notification.createError(err));\n    this.unsubscribe();\n  }\n\n  protected _complete(): void {\n    this.scheduleMessage(Notification.createComplete());\n    this.unsubscribe();\n  }\n}\n\nexport class ObserveOnMessage {\n  constructor(public notification: Notification<any>,\n              public destination: PartialObserver<any>) {\n  }\n}\n","import { Subject } from './Subject';\nimport { SchedulerLike } from './types';\nimport { queue } from './scheduler/queue';\nimport { Subscriber } from './Subscriber';\nimport { Subscription } from './Subscription';\nimport { ObserveOnSubscriber } from './operators/observeOn';\nimport { ObjectUnsubscribedError } from './util/ObjectUnsubscribedError';\nimport { SubjectSubscription } from './SubjectSubscription';\n/**\n * A variant of Subject that \"replays\" or emits old values to new subscribers.\n * It buffers a set number of values and will emit those values immediately to\n * any new subscribers in addition to emitting new values to existing subscribers.\n *\n * @class ReplaySubject<T>\n */\nexport class ReplaySubject<T> extends Subject<T> {\n  private _events: (ReplayEvent<T> | T)[] = [];\n  private _bufferSize: number;\n  private _windowTime: number;\n  private _infiniteTimeWindow: boolean = false;\n\n  constructor(bufferSize: number = Number.POSITIVE_INFINITY,\n              windowTime: number = Number.POSITIVE_INFINITY,\n              private scheduler?: SchedulerLike) {\n    super();\n    this._bufferSize = bufferSize < 1 ? 1 : bufferSize;\n    this._windowTime = windowTime < 1 ? 1 : windowTime;\n\n    if (windowTime === Number.POSITIVE_INFINITY) {\n      this._infiniteTimeWindow = true;\n      this.next = this.nextInfiniteTimeWindow;\n    } else {\n      this.next = this.nextTimeWindow;\n    }\n  }\n\n  private nextInfiniteTimeWindow(value: T): void {\n    const _events = this._events;\n    _events.push(value);\n    // Since this method is invoked in every next() call than the buffer\n    // can overgrow the max size only by one item\n    if (_events.length > this._bufferSize) {\n      _events.shift();\n    }\n\n    super.next(value);\n  }\n\n  private nextTimeWindow(value: T): void {\n    this._events.push(new ReplayEvent(this._getNow(), value));\n    this._trimBufferThenGetEvents();\n\n    super.next(value);\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _subscribe(subscriber: Subscriber<T>): Subscription {\n    // When `_infiniteTimeWindow === true` then the buffer is already trimmed\n    const _infiniteTimeWindow = this._infiniteTimeWindow;\n    const _events = _infiniteTimeWindow ? this._events : this._trimBufferThenGetEvents();\n    const scheduler = this.scheduler;\n    const len = _events.length;\n    let subscription: Subscription;\n\n    if (this.closed) {\n      throw new ObjectUnsubscribedError();\n    } else if (this.isStopped || this.hasError) {\n      subscription = Subscription.EMPTY;\n    } else {\n      this.observers.push(subscriber);\n      subscription = new SubjectSubscription(this, subscriber);\n    }\n\n    if (scheduler) {\n      subscriber.add(subscriber = new ObserveOnSubscriber<T>(subscriber, scheduler));\n    }\n\n    if (_infiniteTimeWindow) {\n      for (let i = 0; i < len && !subscriber.closed; i++) {\n        subscriber.next(<T>_events[i]);\n      }\n    } else {\n      for (let i = 0; i < len && !subscriber.closed; i++) {\n        subscriber.next((<ReplayEvent<T>>_events[i]).value);\n      }\n    }\n\n    if (this.hasError) {\n      subscriber.error(this.thrownError);\n    } else if (this.isStopped) {\n      subscriber.complete();\n    }\n\n    return subscription;\n  }\n\n  _getNow(): number {\n    return (this.scheduler || queue).now();\n  }\n\n  private _trimBufferThenGetEvents(): ReplayEvent<T>[] {\n    const now = this._getNow();\n    const _bufferSize = this._bufferSize;\n    const _windowTime = this._windowTime;\n    const _events = <ReplayEvent<T>[]>this._events;\n\n    const eventsCount = _events.length;\n    let spliceCount = 0;\n\n    // Trim events that fall out of the time window.\n    // Start at the front of the list. Break early once\n    // we encounter an event that falls within the window.\n    while (spliceCount < eventsCount) {\n      if ((now - _events[spliceCount].time) < _windowTime) {\n        break;\n      }\n      spliceCount++;\n    }\n\n    if (eventsCount > _bufferSize) {\n      spliceCount = Math.max(spliceCount, eventsCount - _bufferSize);\n    }\n\n    if (spliceCount > 0) {\n      _events.splice(0, spliceCount);\n    }\n\n    return _events;\n  }\n\n}\n\nclass ReplayEvent<T> {\n  constructor(public time: number, public value: T) {\n  }\n}\n","import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\n/**\n *\n * Async Scheduler\n *\n * <span class=\"informal\">Schedule task as if you used setTimeout(task, duration)</span>\n *\n * `async` scheduler schedules tasks asynchronously, by putting them on the JavaScript\n * event loop queue. It is best used to delay tasks in time or to schedule tasks repeating\n * in intervals.\n *\n * If you just want to \"defer\" task, that is to perform it right after currently\n * executing synchronous code ends (commonly achieved by `setTimeout(deferredTask, 0)`),\n * better choice will be the {@link asapScheduler} scheduler.\n *\n * ## Examples\n * Use async scheduler to delay task\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * const task = () => console.log('it works!');\n *\n * asyncScheduler.schedule(task, 2000);\n *\n * // After 2 seconds logs:\n * // \"it works!\"\n * ```\n *\n * Use async scheduler to repeat task in intervals\n * ```ts\n * import { asyncScheduler } from 'rxjs';\n *\n * function task(state) {\n *   console.log(state);\n *   this.schedule(state + 1, 1000); // `this` references currently executing Action,\n *                                   // which we reschedule with new state and delay\n * }\n *\n * asyncScheduler.schedule(task, 3000, 0);\n *\n * // Logs:\n * // 0 after 3s\n * // 1 after 4s\n * // 2 after 5s\n * // 3 after 6s\n * ```\n *\n * @static true\n * @name async\n * @owner Scheduler\n */\n\nexport const async = new AsyncScheduler(AsyncAction);\n","import { Observable } from '../Observable';\nimport { ObservableInput, ObservedValuesFromArray, ObservedValueOf, SubscribableOrPromise } from '../types';\nimport { isArray } from '../util/isArray';\nimport { map } from '../operators/map';\nimport { isObject } from '../util/isObject';\nimport { isObservable } from '../util/isObservable';\nimport { from } from './from';\n\n/* tslint:disable:max-line-length */\n\n// forkJoin(a$, b$, c$)\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T>(v1: SubscribableOrPromise<T>): Observable<[T]>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T, T2>(v1: ObservableInput<T>, v2: ObservableInput<T2>): Observable<[T, T2]>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T, T2, T3>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>): Observable<[T, T2, T3]>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T, T2, T3, T4>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>): Observable<[T, T2, T3, T4]>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T, T2, T3, T4, T5>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>): Observable<[T, T2, T3, T4, T5]>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T, T2, T3, T4, T5, T6>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>): Observable<[T, T2, T3, T4, T5, T6]>;\n\n// forkJoin([a$, b$, c$]);\n// TODO(benlesh): Uncomment for TS 3.0\n// export function forkJoin(sources: []): Observable<never>;\nexport function forkJoin<A>(sources: [ObservableInput<A>]): Observable<[A]>;\nexport function forkJoin<A, B>(sources: [ObservableInput<A>, ObservableInput<B>]): Observable<[A, B]>;\nexport function forkJoin<A, B, C>(sources: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>]): Observable<[A, B, C]>;\nexport function forkJoin<A, B, C, D>(sources: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>, ObservableInput<D>]): Observable<[A, B, C, D]>;\nexport function forkJoin<A, B, C, D, E>(sources: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>, ObservableInput<D>, ObservableInput<E>]): Observable<[A, B, C, D, E]>;\nexport function forkJoin<A, B, C, D, E, F>(sources: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>, ObservableInput<D>, ObservableInput<E>, ObservableInput<F>]): Observable<[A, B, C, D, E, F]>;\nexport function forkJoin<A extends ObservableInput<any>[]>(sources: A): Observable<ObservedValuesFromArray<A>[]>;\n\n// forkJoin({})\nexport function forkJoin(sourcesObject: {}): Observable<never>;\nexport function forkJoin<T, K extends keyof T>(sourcesObject: T): Observable<{ [K in keyof T]: ObservedValueOf<T[K]> }>;\n\n/** @deprecated resultSelector is deprecated, pipe to map instead */\nexport function forkJoin(...args: Array<ObservableInput<any>|Function>): Observable<any>;\n/** @deprecated Use the version that takes an array of Observables instead */\nexport function forkJoin<T>(...sources: ObservableInput<T>[]): Observable<T[]>;\n/* tslint:enable:max-line-length */\n\n/**\n * Accepts an `Array` of {@link ObservableInput} or a dictionary `Object` of {@link ObservableInput} and returns\n * an {@link Observable} that emits either an array of values in the exact same order as the passed array,\n * or a dictionary of values in the same shape as the passed dictionary.\n *\n * <span class=\"informal\">Wait for Observables to complete and then combine last values they emitted.</span>\n *\n * ![](forkJoin.png)\n *\n * `forkJoin` is an operator that takes any number of input observables which can be passed either as an array\n * or a dictionary of input observables. If no input observables are provided, resulting stream will complete\n * immediately.\n *\n * `forkJoin` will wait for all passed observables to complete and then it will emit an array or an object with last\n * values from corresponding observables.\n *\n * If you pass an array of `n` observables to the operator, resulting\n * array will have `n` values, where first value is the last thing emitted by the first observable,\n * second value is the last thing emitted by the second observable and so on.\n *\n * If you pass a dictionary of observables to the operator, resulting\n * objects will have the same keys as the dictionary passed, with their last values they've emitted\n * located at the corresponding key.\n *\n * That means `forkJoin` will not emit more than once and it will complete after that. If you need to emit combined\n * values not only at the end of lifecycle of passed observables, but also throughout it, try out {@link combineLatest}\n * or {@link zip} instead.\n *\n * In order for resulting array to have the same length as the number of input observables, whenever any of\n * that observables completes without emitting any value, `forkJoin` will complete at that moment as well\n * and it will not emit anything either, even if it already has some last values from other observables.\n * Conversely, if there is an observable that never completes, `forkJoin` will never complete as well,\n * unless at any point some other observable completes without emitting value, which brings us back to\n * the previous case. Overall, in order for `forkJoin` to emit a value, all observables passed as arguments\n * have to emit something at least once and complete.\n *\n * If any input observable errors at some point, `forkJoin` will error as well and all other observables\n * will be immediately unsubscribed.\n *\n * Optionally `forkJoin` accepts project function, that will be called with values which normally\n * would land in emitted array. Whatever is returned by project function, will appear in output\n * observable instead. This means that default project can be thought of as a function that takes\n * all its arguments and puts them into an array. Note that project function will be called only\n * when output observable is supposed to emit a result.\n *\n * ## Examples\n *\n * ### Use forkJoin with a dictionary of observable inputs\n * ```ts\n * import { forkJoin, of, timer } from 'rxjs';\n *\n * const observable = forkJoin({\n *   foo: of(1, 2, 3, 4),\n *   bar: Promise.resolve(8),\n *   baz: timer(4000),\n * });\n * observable.subscribe({\n *  next: value => console.log(value),\n *  complete: () => console.log('This is how it ends!'),\n * });\n *\n * // Logs:\n * // { foo: 4, bar: 8, baz: 0 } after 4 seconds\n * // \"This is how it ends!\" immediately after\n * ```\n *\n * ### Use forkJoin with an array of observable inputs\n * ```ts\n * import { forkJoin, of } from 'rxjs';\n *\n * const observable = forkJoin([\n *   of(1, 2, 3, 4),\n *   Promise.resolve(8),\n *   timer(4000),\n * ]);\n * observable.subscribe({\n *  next: value => console.log(value),\n *  complete: () => console.log('This is how it ends!'),\n * });\n *\n * // Logs:\n * // [4, 8, 0] after 4 seconds\n * // \"This is how it ends!\" immediately after\n * ```\n *\n * @see {@link combineLatest}\n * @see {@link zip}\n *\n * @param {...ObservableInput} sources Any number of Observables provided either as an array or as an arguments\n * passed directly to the operator.\n * @param {function} [project] Function that takes values emitted by input Observables and returns value\n * that will appear in resulting Observable instead of default array.\n * @return {Observable} Observable emitting either an array of last values emitted by passed Observables\n * or value from project function.\n */\nexport function forkJoin(\n  ...sources: any[]\n): Observable<any> {\n  if (sources.length === 1) {\n    const first = sources[0];\n    if (isArray(first)) {\n      return forkJoinInternal(first, null);\n    }\n    // TODO(benlesh): isObservable check will not be necessary when deprecated path is removed.\n    if (isObject(first) && Object.getPrototypeOf(first) === Object.prototype) {\n      const keys = Object.keys(first);\n      return forkJoinInternal(keys.map(key => first[key]), keys);\n    }\n  }\n\n  // DEPRECATED PATHS BELOW HERE\n  if (typeof sources[sources.length - 1] === 'function') {\n    const resultSelector = sources.pop() as Function;\n    sources = (sources.length === 1 && isArray(sources[0])) ? sources[0] : sources;\n    return forkJoinInternal(sources, null).pipe(\n      map((args: any[]) => resultSelector(...args))\n    );\n  }\n\n  return forkJoinInternal(sources, null);\n}\n\nfunction forkJoinInternal(sources: ObservableInput<any>[], keys: string[] | null): Observable<any> {\n  return new Observable(subscriber => {\n    const len = sources.length;\n    if (len === 0) {\n      subscriber.complete();\n      return;\n    }\n    const values = new Array(len);\n    let completed = 0;\n    let emitted = 0;\n    for (let i = 0; i < len; i++) {\n      const source = from(sources[i]);\n      let hasValue = false;\n      subscriber.add(source.subscribe({\n        next: value => {\n          if (!hasValue) {\n            hasValue = true;\n            emitted++;\n          }\n          values[i] = value;\n        },\n        error: err => subscriber.error(err),\n        complete: () => {\n          completed++;\n          if (completed === len || !hasValue) {\n            if (emitted === len) {\n              subscriber.next(keys ?\n                keys.reduce((result, key, i) => (result[key] = values[i], result), {}) :\n                values);\n            }\n            subscriber.complete();\n          }\n        }\n      }));\n    }\n  });\n}\n","import { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Observable } from '../Observable';\nimport { OperatorFunction, MonoTypeOperatorFunction, TeardownLogic } from '../types';\n\n/* tslint:disable:max-line-length */\nexport function filter<T, S extends T>(predicate: (value: T, index: number) => value is S,\n                                       thisArg?: any): OperatorFunction<T, S>;\nexport function filter<T>(predicate: (value: T, index: number) => boolean,\n                          thisArg?: any): MonoTypeOperatorFunction<T>;\n/* tslint:enable:max-line-length */\n\n/**\n * Filter items emitted by the source Observable by only emitting those that\n * satisfy a specified predicate.\n *\n * <span class=\"informal\">Like\n * [Array.prototype.filter()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/filter),\n * it only emits a value from the source if it passes a criterion function.</span>\n *\n * ![](filter.png)\n *\n * Similar to the well-known `Array.prototype.filter` method, this operator\n * takes values from the source Observable, passes them through a `predicate`\n * function and only emits those values that yielded `true`.\n *\n * ## Example\n * Emit only click events whose target was a DIV element\n * ```ts\n * import { fromEvent } from 'rxjs';\n * import { filter } from 'rxjs/operators';\n *\n * const clicks = fromEvent(document, 'click');\n * const clicksOnDivs = clicks.pipe(filter(ev => ev.target.tagName === 'DIV'));\n * clicksOnDivs.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link distinct}\n * @see {@link distinctUntilChanged}\n * @see {@link distinctUntilKeyChanged}\n * @see {@link ignoreElements}\n * @see {@link partition}\n * @see {@link skip}\n *\n * @param {function(value: T, index: number): boolean} predicate A function that\n * evaluates each value emitted by the source Observable. If it returns `true`,\n * the value is emitted, if `false` the value is not passed to the output\n * Observable. The `index` parameter is the number `i` for the i-th source\n * emission that has happened since the subscription, starting from the number\n * `0`.\n * @param {any} [thisArg] An optional argument to determine the value of `this`\n * in the `predicate` function.\n * @return {Observable} An Observable of values from the source that were\n * allowed by the `predicate` function.\n * @method filter\n * @owner Observable\n */\nexport function filter<T>(predicate: (value: T, index: number) => boolean,\n                          thisArg?: any): MonoTypeOperatorFunction<T> {\n  return function filterOperatorFunction(source: Observable<T>): Observable<T> {\n    return source.lift(new FilterOperator(predicate, thisArg));\n  };\n}\n\nclass FilterOperator<T> implements Operator<T, T> {\n  constructor(private predicate: (value: T, index: number) => boolean,\n              private thisArg?: any) {\n  }\n\n  call(subscriber: Subscriber<T>, source: any): TeardownLogic {\n    return source.subscribe(new FilterSubscriber(subscriber, this.predicate, this.thisArg));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nclass FilterSubscriber<T> extends Subscriber<T> {\n\n  count: number = 0;\n\n  constructor(destination: Subscriber<T>,\n              private predicate: (value: T, index: number) => boolean,\n              private thisArg: any) {\n    super(destination);\n  }\n\n  // the try catch block below is left specifically for\n  // optimization and perf reasons. a tryCatcher is not necessary here.\n  protected _next(value: T) {\n    let result: any;\n    try {\n      result = this.predicate.call(this.thisArg, value, this.count++);\n    } catch (err) {\n      this.destination.error(err);\n      return;\n    }\n    if (result) {\n      this.destination.next(value);\n    }\n  }\n}\n","import { Observable } from '../Observable';\nimport { isArray } from '../util/isArray';\nimport { fromArray } from './fromArray';\nimport { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { TeardownLogic, ObservableInput } from '../types';\nimport { OuterSubscriber } from '../OuterSubscriber';\nimport { InnerSubscriber } from '../InnerSubscriber';\nimport { subscribeToResult } from '../util/subscribeToResult';\n\n// tslint:disable:max-line-length\nexport function race<A>(arg: [ObservableInput<A>]): Observable<A>;\nexport function race<A, B>(arg: [ObservableInput<A>, ObservableInput<B>]): Observable<A | B>;\nexport function race<A, B, C>(arg: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>]): Observable<A | B | C>;\nexport function race<A, B, C, D>(arg: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>, ObservableInput<D>]): Observable<A | B | C | D>;\nexport function race<A, B, C, D, E>(arg: [ObservableInput<A>, ObservableInput<B>, ObservableInput<C>, ObservableInput<D>, ObservableInput<E>]): Observable<A | B | C | D | E>;\nexport function race<T>(arg: ObservableInput<T>[]): Observable<T>;\nexport function race(arg: ObservableInput<any>[]): Observable<{}>;\n\nexport function race<A>(a: ObservableInput<A>): Observable<A>;\nexport function race<A, B>(a: ObservableInput<A>, b: ObservableInput<B>): Observable<A | B>;\nexport function race<A, B, C>(a: ObservableInput<A>, b: ObservableInput<B>, c: ObservableInput<C>): Observable<A | B | C>;\nexport function race<A, B, C, D>(a: ObservableInput<A>, b: ObservableInput<B>, c: ObservableInput<C>, d: ObservableInput<D>): Observable<A | B | C | D>;\nexport function race<A, B, C, D, E>(a: ObservableInput<A>, b: ObservableInput<B>, c: ObservableInput<C>, d: ObservableInput<D>, e: ObservableInput<E>): Observable<A | B | C | D | E>;\n// tslint:enable:max-line-length\n\nexport function race<T>(observables: ObservableInput<T>[]): Observable<T>;\nexport function race(observables: ObservableInput<any>[]): Observable<{}>;\nexport function race<T>(...observables: ObservableInput<T>[]): Observable<T>;\nexport function race(...observables: ObservableInput<any>[]): Observable<{}>;\n\n/**\n * Returns an Observable that mirrors the first source Observable to emit an item.\n *\n * ## Example\n * ### Subscribes to the observable that was the first to start emitting.\n *\n * ```ts\n * import { race, interval } from 'rxjs';\n * import { mapTo } from 'rxjs/operators';\n *\n * const obs1 = interval(1000).pipe(mapTo('fast one'));\n * const obs2 = interval(3000).pipe(mapTo('medium one'));\n * const obs3 = interval(5000).pipe(mapTo('slow one'));\n *\n * race(obs3, obs1, obs2)\n * .subscribe(\n *   winner => console.log(winner)\n * );\n *\n * // result:\n * // a series of 'fast one'\n * ```\n *\n * @param {...Observables} ...observables sources used to race for which Observable emits first.\n * @return {Observable} an Observable that mirrors the output of the first Observable to emit an item.\n * @static true\n * @name race\n * @owner Observable\n */\nexport function race<T>(...observables: ObservableInput<any>[]): Observable<T> {\n  // if the only argument is an array, it was most likely called with\n  // `race([obs1, obs2, ...])`\n  if (observables.length === 1) {\n    if (isArray(observables[0])) {\n      observables = observables[0] as Observable<any>[];\n    } else {\n      return observables[0] as Observable<T>;\n    }\n  }\n\n  return fromArray(observables, undefined).lift(new RaceOperator<T>());\n}\n\nexport class RaceOperator<T> implements Operator<T, T> {\n  call(subscriber: Subscriber<T>, source: any): TeardownLogic {\n    return source.subscribe(new RaceSubscriber(subscriber));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class RaceSubscriber<T> extends OuterSubscriber<T, T> {\n  private hasFirst: boolean = false;\n  private observables: Observable<any>[] = [];\n  private subscriptions: Subscription[] = [];\n\n  constructor(destination: Subscriber<T>) {\n    super(destination);\n  }\n\n  protected _next(observable: any): void {\n    this.observables.push(observable);\n  }\n\n  protected _complete() {\n    const observables = this.observables;\n    const len = observables.length;\n\n    if (len === 0) {\n      this.destination.complete();\n    } else {\n      for (let i = 0; i < len && !this.hasFirst; i++) {\n        let observable = observables[i];\n        let subscription = subscribeToResult(this, observable, observable as any, i);\n\n        if (this.subscriptions) {\n          this.subscriptions.push(subscription);\n        }\n        this.add(subscription);\n      }\n      this.observables = null;\n    }\n  }\n\n  notifyNext(outerValue: T, innerValue: T,\n             outerIndex: number, innerIndex: number,\n             innerSub: InnerSubscriber<T, T>): void {\n    if (!this.hasFirst) {\n      this.hasFirst = true;\n\n      for (let i = 0; i < this.subscriptions.length; i++) {\n        if (i !== outerIndex) {\n          let subscription = this.subscriptions[i];\n\n          subscription.unsubscribe();\n          this.remove(subscription);\n        }\n      }\n\n      this.subscriptions = null;\n    }\n\n    this.destination.next(innerValue);\n  }\n}\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { Subscriber } from '../Subscriber';\n\n/**\n * Creates an Observable that emits no items to the Observer and immediately\n * emits an error notification.\n *\n * <span class=\"informal\">Just emits 'error', and nothing else.\n * </span>\n *\n * ![](throw.png)\n *\n * This static operator is useful for creating a simple Observable that only\n * emits the error notification. It can be used for composing with other\n * Observables, such as in a {@link mergeMap}.\n *\n * ## Examples\n * ### Emit the number 7, then emit an error\n * ```ts\n * import { throwError, concat, of } from 'rxjs';\n *\n * const result = concat(of(7), throwError(new Error('oops!')));\n * result.subscribe(x => console.log(x), e => console.error(e));\n *\n * // Logs:\n * // 7\n * // Error: oops!\n * ```\n *\n * ---\n *\n * ### Map and flatten numbers to the sequence 'a', 'b', 'c', but throw an error for 2\n * ```ts\n * import { throwError, interval, of } from 'rxjs';\n * import { mergeMap } from 'rxjs/operators';\n *\n * interval(1000).pipe(\n *   mergeMap(x => x === 2\n *     ? throwError('Twos are bad')\n *     : of('a', 'b', 'c')\n *   ),\n * ).subscribe(x => console.log(x), e => console.error(e));\n *\n * // Logs:\n * // a\n * // b\n * // c\n * // a\n * // b\n * // c\n * // Twos are bad\n * ```\n *\n * @see {@link Observable}\n * @see {@link empty}\n * @see {@link never}\n * @see {@link of}\n *\n * @param {any} error The particular Error to pass to the error notification.\n * @param {SchedulerLike} [scheduler] A {@link SchedulerLike} to use for scheduling\n * the emission of the error notification.\n * @return {Observable} An error Observable: emits only the error notification\n * using the given error argument.\n * @static true\n * @name throwError\n * @owner Observable\n */\nexport function throwError(error: any, scheduler?: SchedulerLike): Observable<never> {\n  if (!scheduler) {\n    return new Observable(subscriber => subscriber.error(error));\n  } else {\n    return new Observable(subscriber => scheduler.schedule(dispatch, 0, { error, subscriber }));\n  }\n}\n\ninterface DispatchArg {\n  error: any;\n  subscriber: Subscriber<any>;\n}\n\nfunction dispatch({ error, subscriber }: DispatchArg) {\n  subscriber.error(error);\n}\n","\nimport { mergeMap } from './mergeMap';\nimport { identity } from '../util/identity';\nimport { OperatorFunction, ObservableInput } from '../types';\n\n/**\n * Converts a higher-order Observable into a first-order Observable which\n * concurrently delivers all values that are emitted on the inner Observables.\n *\n * <span class=\"informal\">Flattens an Observable-of-Observables.</span>\n *\n * ![](mergeAll.png)\n *\n * `mergeAll` subscribes to an Observable that emits Observables, also known as\n * a higher-order Observable. Each time it observes one of these emitted inner\n * Observables, it subscribes to that and delivers all the values from the\n * inner Observable on the output Observable. The output Observable only\n * completes once all inner Observables have completed. Any error delivered by\n * a inner Observable will be immediately emitted on the output Observable.\n *\n * ## Examples\n * Spawn a new interval Observable for each click event, and blend their outputs as one Observable\n * ```ts\n * import { fromEvent, interval } from 'rxjs';\n * import { map, mergeAll } from 'rxjs/operators';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(map((ev) => interval(1000)));\n * const firstOrder = higherOrder.pipe(mergeAll());\n * firstOrder.subscribe(x => console.log(x));\n * ```\n *\n * Count from 0 to 9 every second for each click, but only allow 2 concurrent timers\n * ```ts\n * import { fromEvent, interval } from 'rxjs';\n * import { take, map, mergeAll } from 'rxjs/operators';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(\n *   map((ev) => interval(1000).pipe(take(10))),\n * );\n * const firstOrder = higherOrder.pipe(mergeAll(2));\n * firstOrder.subscribe(x => console.log(x));\n * ```\n *\n * @see {@link combineAll}\n * @see {@link concatAll}\n * @see {@link exhaust}\n * @see {@link merge}\n * @see {@link mergeMap}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n * @see {@link switchAll}\n * @see {@link switchMap}\n * @see {@link zipAll}\n *\n * @param {number} [concurrent=Number.POSITIVE_INFINITY] Maximum number of inner\n * Observables being subscribed to concurrently.\n * @return {Observable} An Observable that emits values coming from all the\n * inner Observables emitted by the source Observable.\n * @method mergeAll\n * @owner Observable\n */\nexport function mergeAll<T>(concurrent: number = Number.POSITIVE_INFINITY): OperatorFunction<ObservableInput<T>, T> {\n  return mergeMap(identity, concurrent);\n}\n","export interface UnsubscriptionError extends Error {\n  readonly errors: any[];\n}\n\nexport interface UnsubscriptionErrorCtor {\n  new(errors: any[]): UnsubscriptionError;\n}\n\nconst UnsubscriptionErrorImpl = (() => {\n  function UnsubscriptionErrorImpl(this: any, errors: any[]) {\n    Error.call(this);\n    this.message = errors ?\n      `${errors.length} errors occurred during unsubscription:\n${errors.map((err, i) => `${i + 1}) ${err.toString()}`).join('\\n  ')}` : '';\n    this.name = 'UnsubscriptionError';\n    this.errors = errors;\n    return this;\n  }\n\n  UnsubscriptionErrorImpl.prototype = Object.create(Error.prototype);\n\n  return UnsubscriptionErrorImpl;\n})();\n\n/**\n * An error thrown when one or more errors have occurred during the\n * `unsubscribe` of a {@link Subscription}.\n */\nexport const UnsubscriptionError: UnsubscriptionErrorCtor = UnsubscriptionErrorImpl as any;","export interface ArgumentOutOfRangeError extends Error {\n}\n\nexport interface ArgumentOutOfRangeErrorCtor {\n  new(): ArgumentOutOfRangeError;\n}\n\nconst ArgumentOutOfRangeErrorImpl = (() => {\n  function ArgumentOutOfRangeErrorImpl(this: any) {\n    Error.call(this);\n    this.message = 'argument out of range';\n    this.name = 'ArgumentOutOfRangeError';\n    return this;\n  }\n\n  ArgumentOutOfRangeErrorImpl.prototype = Object.create(Error.prototype);\n\n  return ArgumentOutOfRangeErrorImpl;\n})();\n\n/**\n * An error thrown when an element was queried at a certain index of an\n * Observable, but no such index or position exists in that sequence.\n *\n * @see {@link elementAt}\n * @see {@link take}\n * @see {@link takeLast}\n *\n * @class ArgumentOutOfRangeError\n */\nexport const ArgumentOutOfRangeError: ArgumentOutOfRangeErrorCtor = ArgumentOutOfRangeErrorImpl as any;","import { Observable } from '../Observable';\nimport { isArray } from '../util/isArray';\nimport { isFunction } from '../util/isFunction';\nimport { Subscriber } from '../Subscriber';\nimport { map } from '../operators/map';\n\nconst toString: Function = (() => Object.prototype.toString)();\n\nexport interface NodeStyleEventEmitter {\n  addListener: (eventName: string | symbol, handler: NodeEventHandler) => this;\n  removeListener: (eventName: string | symbol, handler: NodeEventHandler) => this;\n}\n\nexport type NodeEventHandler = (...args: any[]) => void;\n\n// For APIs that implement `addListener` and `removeListener` methods that may\n// not use the same arguments or return EventEmitter values\n// such as React Native\nexport interface NodeCompatibleEventEmitter {\n  addListener: (eventName: string, handler: NodeEventHandler) => void | {};\n  removeListener: (eventName: string, handler: NodeEventHandler) => void | {};\n}\n\nexport interface JQueryStyleEventEmitter {\n  on: (eventName: string, handler: Function) => void;\n  off: (eventName: string, handler: Function) => void;\n}\n\nexport interface HasEventTargetAddRemove<E> {\n  addEventListener(type: string, listener: ((evt: E) => void) | null, options?: boolean | AddEventListenerOptions): void;\n  removeEventListener(type: string, listener?: ((evt: E) => void) | null, options?: EventListenerOptions | boolean): void;\n}\n\nexport type EventTargetLike<T> = HasEventTargetAddRemove<T> | NodeStyleEventEmitter | NodeCompatibleEventEmitter | JQueryStyleEventEmitter;\n\nexport type FromEventTarget<T> = EventTargetLike<T> | ArrayLike<EventTargetLike<T>>;\n\nexport interface EventListenerOptions {\n  capture?: boolean;\n  passive?: boolean;\n  once?: boolean;\n}\n\nexport interface AddEventListenerOptions extends EventListenerOptions {\n  once?: boolean;\n  passive?: boolean;\n}\n\n/* tslint:disable:max-line-length */\nexport function fromEvent<T>(target: FromEventTarget<T>, eventName: string): Observable<T>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function fromEvent<T>(target: FromEventTarget<T>, eventName: string, resultSelector: (...args: any[]) => T): Observable<T>;\nexport function fromEvent<T>(target: FromEventTarget<T>, eventName: string, options: EventListenerOptions): Observable<T>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function fromEvent<T>(target: FromEventTarget<T>, eventName: string, options: EventListenerOptions, resultSelector: (...args: any[]) => T): Observable<T>;\n/* tslint:enable:max-line-length */\n\n/**\n * Creates an Observable that emits events of a specific type coming from the\n * given event target.\n *\n * <span class=\"informal\">Creates an Observable from DOM events, or Node.js\n * EventEmitter events or others.</span>\n *\n * ![](fromEvent.png)\n *\n * `fromEvent` accepts as a first argument event target, which is an object with methods\n * for registering event handler functions. As a second argument it takes string that indicates\n * type of event we want to listen for. `fromEvent` supports selected types of event targets,\n * which are described in detail below. If your event target does not match any of the ones listed,\n * you should use {@link fromEventPattern}, which can be used on arbitrary APIs.\n * When it comes to APIs supported by `fromEvent`, their methods for adding and removing event\n * handler functions have different names, but they all accept a string describing event type\n * and function itself, which will be called whenever said event happens.\n *\n * Every time resulting Observable is subscribed, event handler function will be registered\n * to event target on given event type. When that event fires, value\n * passed as a first argument to registered function will be emitted by output Observable.\n * When Observable is unsubscribed, function will be unregistered from event target.\n *\n * Note that if event target calls registered function with more than one argument, second\n * and following arguments will not appear in resulting stream. In order to get access to them,\n * you can pass to `fromEvent` optional project function, which will be called with all arguments\n * passed to event handler. Output Observable will then emit value returned by project function,\n * instead of the usual value.\n *\n * Remember that event targets listed below are checked via duck typing. It means that\n * no matter what kind of object you have and no matter what environment you work in,\n * you can safely use `fromEvent` on that object if it exposes described methods (provided\n * of course they behave as was described above). So for example if Node.js library exposes\n * event target which has the same method names as DOM EventTarget, `fromEvent` is still\n * a good choice.\n *\n * If the API you use is more callback then event handler oriented (subscribed\n * callback function fires only once and thus there is no need to manually\n * unregister it), you should use {@link bindCallback} or {@link bindNodeCallback}\n * instead.\n *\n * `fromEvent` supports following types of event targets:\n *\n * **DOM EventTarget**\n *\n * This is an object with `addEventListener` and `removeEventListener` methods.\n *\n * In the browser, `addEventListener` accepts - apart from event type string and event\n * handler function arguments - optional third parameter, which is either an object or boolean,\n * both used for additional configuration how and when passed function will be called. When\n * `fromEvent` is used with event target of that type, you can provide this values\n * as third parameter as well.\n *\n * **Node.js EventEmitter**\n *\n * An object with `addListener` and `removeListener` methods.\n *\n * **JQuery-style event target**\n *\n * An object with `on` and `off` methods\n *\n * **DOM NodeList**\n *\n * List of DOM Nodes, returned for example by `document.querySelectorAll` or `Node.childNodes`.\n *\n * Although this collection is not event target in itself, `fromEvent` will iterate over all Nodes\n * it contains and install event handler function in every of them. When returned Observable\n * is unsubscribed, function will be removed from all Nodes.\n *\n * **DOM HtmlCollection**\n *\n * Just as in case of NodeList it is a collection of DOM nodes. Here as well event handler function is\n * installed and removed in each of elements.\n *\n *\n * ## Examples\n * ### Emits clicks happening on the DOM document\n * ```ts\n * import { fromEvent } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * clicks.subscribe(x => console.log(x));\n *\n * // Results in:\n * // MouseEvent object logged to console every time a click\n * // occurs on the document.\n * ```\n *\n * ### Use addEventListener with capture option\n * ```ts\n * import { fromEvent } from 'rxjs';\n *\n * const clicksInDocument = fromEvent(document, 'click', true); // note optional configuration parameter\n *                                                              // which will be passed to addEventListener\n * const clicksInDiv = fromEvent(someDivInDocument, 'click');\n *\n * clicksInDocument.subscribe(() => console.log('document'));\n * clicksInDiv.subscribe(() => console.log('div'));\n *\n * // By default events bubble UP in DOM tree, so normally\n * // when we would click on div in document\n * // \"div\" would be logged first and then \"document\".\n * // Since we specified optional `capture` option, document\n * // will catch event when it goes DOWN DOM tree, so console\n * // will log \"document\" and then \"div\".\n * ```\n *\n * @see {@link bindCallback}\n * @see {@link bindNodeCallback}\n * @see {@link fromEventPattern}\n *\n * @param {FromEventTarget<T>} target The DOM EventTarget, Node.js\n * EventEmitter, JQuery-like event target, NodeList or HTMLCollection to attach the event handler to.\n * @param {string} eventName The event name of interest, being emitted by the\n * `target`.\n * @param {EventListenerOptions} [options] Options to pass through to addEventListener\n * @return {Observable<T>}\n * @name fromEvent\n */\nexport function fromEvent<T>(\n  target: FromEventTarget<T>,\n  eventName: string,\n  options?: EventListenerOptions | ((...args: any[]) => T),\n  resultSelector?: ((...args: any[]) => T)\n): Observable<T> {\n\n  if (isFunction(options)) {\n    // DEPRECATED PATH\n    resultSelector = options;\n    options = undefined;\n  }\n  if (resultSelector) {\n    // DEPRECATED PATH\n    return fromEvent<T>(target, eventName, <EventListenerOptions | undefined>options).pipe(\n      map(args => isArray(args) ? resultSelector(...args) : resultSelector(args))\n    );\n  }\n\n  return new Observable<T>(subscriber => {\n    function handler(e: T) {\n      if (arguments.length > 1) {\n        subscriber.next(Array.prototype.slice.call(arguments));\n      } else {\n        subscriber.next(e);\n      }\n    }\n    setupSubscription(target, eventName, handler, subscriber, options as EventListenerOptions);\n  });\n}\n\nfunction setupSubscription<T>(sourceObj: FromEventTarget<T>, eventName: string,\n                              handler: (...args: any[]) => void, subscriber: Subscriber<T>,\n                              options?: EventListenerOptions) {\n  let unsubscribe: () => void;\n  if (isEventTarget(sourceObj)) {\n    const source = sourceObj;\n    sourceObj.addEventListener(eventName, handler, options);\n    unsubscribe = () => source.removeEventListener(eventName, handler, options);\n  } else if (isJQueryStyleEventEmitter(sourceObj)) {\n    const source = sourceObj;\n    sourceObj.on(eventName, handler);\n    unsubscribe = () => source.off(eventName, handler);\n  } else if (isNodeStyleEventEmitter(sourceObj)) {\n    const source = sourceObj;\n    sourceObj.addListener(eventName, handler as NodeEventHandler);\n    unsubscribe = () => source.removeListener(eventName, handler as NodeEventHandler);\n  } else if (sourceObj && (sourceObj as any).length) {\n    for (let i = 0, len = (sourceObj as any).length; i < len; i++) {\n      setupSubscription(sourceObj[i], eventName, handler, subscriber, options);\n    }\n  } else {\n    throw new TypeError('Invalid event target');\n  }\n\n  subscriber.add(unsubscribe);\n}\n\nfunction isNodeStyleEventEmitter(sourceObj: any): sourceObj is NodeStyleEventEmitter {\n  return sourceObj && typeof sourceObj.addListener === 'function' && typeof sourceObj.removeListener === 'function';\n}\n\nfunction isJQueryStyleEventEmitter(sourceObj: any): sourceObj is JQueryStyleEventEmitter {\n  return sourceObj && typeof sourceObj.on === 'function' && typeof sourceObj.off === 'function';\n}\n\nfunction isEventTarget(sourceObj: any): sourceObj is HasEventTargetAddRemove<any> {\n  return sourceObj && typeof sourceObj.addEventListener === 'function' && typeof sourceObj.removeEventListener === 'function';\n}\n","function webpackEmptyAsyncContext(req) {\n\t// Here Promise.resolve().then() is used instead of new Promise() to prevent\n\t// uncaught exception popping up in devtools\n\treturn Promise.resolve().then(function() {\n\t\tvar e = new Error(\"Cannot find module '\" + req + \"'\");\n\t\te.code = 'MODULE_NOT_FOUND';\n\t\tthrow e;\n\t});\n}\nwebpackEmptyAsyncContext.keys = function() { return []; };\nwebpackEmptyAsyncContext.resolve = webpackEmptyAsyncContext;\nmodule.exports = webpackEmptyAsyncContext;\nwebpackEmptyAsyncContext.id = \"crnd\";","\nimport { mergeAll } from './mergeAll';\nimport { OperatorFunction, ObservableInput } from '../types';\n\nexport function concatAll<T>(): OperatorFunction<ObservableInput<T>, T>;\nexport function concatAll<R>(): OperatorFunction<any, R>;\n\n/**\n * Converts a higher-order Observable into a first-order Observable by\n * concatenating the inner Observables in order.\n *\n * <span class=\"informal\">Flattens an Observable-of-Observables by putting one\n * inner Observable after the other.</span>\n *\n * ![](concatAll.png)\n *\n * Joins every Observable emitted by the source (a higher-order Observable), in\n * a serial fashion. It subscribes to each inner Observable only after the\n * previous inner Observable has completed, and merges all of their values into\n * the returned observable.\n *\n * __Warning:__ If the source Observable emits Observables quickly and\n * endlessly, and the inner Observables it emits generally complete slower than\n * the source emits, you can run into memory issues as the incoming Observables\n * collect in an unbounded buffer.\n *\n * Note: `concatAll` is equivalent to `mergeAll` with concurrency parameter set\n * to `1`.\n *\n * ## Example\n *\n * For each click event, tick every second from 0 to 3, with no concurrency\n * ```ts\n * import { fromEvent, interval } from 'rxjs';\n * import { map, take, concatAll } from 'rxjs/operators';\n *\n * const clicks = fromEvent(document, 'click');\n * const higherOrder = clicks.pipe(\n *   map(ev => interval(1000).pipe(take(4))),\n * );\n * const firstOrder = higherOrder.pipe(concatAll());\n * firstOrder.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // (results are not concurrent)\n * // For every click on the \"document\" it will emit values 0 to 3 spaced\n * // on a 1000ms interval\n * // one click = 1000ms-> 0 -1000ms-> 1 -1000ms-> 2 -1000ms-> 3\n * ```\n *\n * @see {@link combineAll}\n * @see {@link concat}\n * @see {@link concatMap}\n * @see {@link concatMapTo}\n * @see {@link exhaust}\n * @see {@link mergeAll}\n * @see {@link switchAll}\n * @see {@link switchMap}\n * @see {@link zipAll}\n *\n * @return {Observable} An Observable emitting values from all the inner\n * Observables concatenated.\n * @method concatAll\n * @owner Observable\n */\nexport function concatAll<T>(): OperatorFunction<ObservableInput<T>, T> {\n  return mergeAll<T>(1);\n}\n","import { Observable } from '../Observable';\nimport { ObservableInput, SchedulerLike, ObservedValueOf } from '../types';\nimport { isScheduler } from '../util/isScheduler';\nimport { of } from './of';\nimport { from } from './from';\nimport { concatAll } from '../operators/concatAll';\n\n/* tslint:disable:max-line-length */\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>>(v1: O1, scheduler: SchedulerLike): Observable<ObservedValueOf<O1>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(v1: O1, v2: O2, scheduler: SchedulerLike): Observable<ObservedValueOf<O1> | ObservedValueOf<O2>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, scheduler: SchedulerLike): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, scheduler: SchedulerLike): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, scheduler: SchedulerLike): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4> | ObservedValueOf<O5>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6, scheduler: SchedulerLike): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4> | ObservedValueOf<O5> | ObservedValueOf<O6>>;\n\nexport function concat<O1 extends ObservableInput<any>>(v1: O1): Observable<ObservedValueOf<O1>>;\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(v1: O1, v2: O2): Observable<ObservedValueOf<O1> | ObservedValueOf<O2>>;\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3>>;\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4>>;\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4> | ObservedValueOf<O5>>;\nexport function concat<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6): Observable<ObservedValueOf<O1> | ObservedValueOf<O2> | ObservedValueOf<O3> | ObservedValueOf<O4> | ObservedValueOf<O5> | ObservedValueOf<O6>>;\nexport function concat<O extends ObservableInput<any>>(...observables: O[]): Observable<ObservedValueOf<O>>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<O extends ObservableInput<any>>(...observables: (O | SchedulerLike)[]): Observable<ObservedValueOf<O>>;\nexport function concat<R>(...observables: ObservableInput<any>[]): Observable<R>;\n/** @deprecated Use {@link scheduled} and {@link concatAll} (e.g. `scheduled([o1, o2, o3], scheduler).pipe(concatAll())`) */\nexport function concat<R>(...observables: (ObservableInput<any> | SchedulerLike)[]): Observable<R>;\n/* tslint:enable:max-line-length */\n/**\n * Creates an output Observable which sequentially emits all values from given\n * Observable and then moves on to the next.\n *\n * <span class=\"informal\">Concatenates multiple Observables together by\n * sequentially emitting their values, one Observable after the other.</span>\n *\n * ![](concat.png)\n *\n * `concat` joins multiple Observables together, by subscribing to them one at a time and\n * merging their results into the output Observable. You can pass either an array of\n * Observables, or put them directly as arguments. Passing an empty array will result\n * in Observable that completes immediately.\n *\n * `concat` will subscribe to first input Observable and emit all its values, without\n * changing or affecting them in any way. When that Observable completes, it will\n * subscribe to then next Observable passed and, again, emit its values. This will be\n * repeated, until the operator runs out of Observables. When last input Observable completes,\n * `concat` will complete as well. At any given moment only one Observable passed to operator\n * emits values. If you would like to emit values from passed Observables concurrently, check out\n * {@link merge} instead, especially with optional `concurrent` parameter. As a matter of fact,\n * `concat` is an equivalent of `merge` operator with `concurrent` parameter set to `1`.\n *\n * Note that if some input Observable never completes, `concat` will also never complete\n * and Observables following the one that did not complete will never be subscribed. On the other\n * hand, if some Observable simply completes immediately after it is subscribed, it will be\n * invisible for `concat`, which will just move on to the next Observable.\n *\n * If any Observable in chain errors, instead of passing control to the next Observable,\n * `concat` will error immediately as well. Observables that would be subscribed after\n * the one that emitted error, never will.\n *\n * If you pass to `concat` the same Observable many times, its stream of values\n * will be \"replayed\" on every subscription, which means you can repeat given Observable\n * as many times as you like. If passing the same Observable to `concat` 1000 times becomes tedious,\n * you can always use {@link repeat}.\n *\n * ## Examples\n * ### Concatenate a timer counting from 0 to 3 with a synchronous sequence from 1 to 10\n * ```ts\n * import { concat, interval, range } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * const timer = interval(1000).pipe(take(4));\n * const sequence = range(1, 10);\n * const result = concat(timer, sequence);\n * result.subscribe(x => console.log(x));\n *\n * // results in:\n * // 0 -1000ms-> 1 -1000ms-> 2 -1000ms-> 3 -immediate-> 1 ... 10\n * ```\n *\n * ### Concatenate 3 Observables\n * ```ts\n * import { concat, interval } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * const timer1 = interval(1000).pipe(take(10));\n * const timer2 = interval(2000).pipe(take(6));\n * const timer3 = interval(500).pipe(take(10));\n *\n * const result = concat(timer1, timer2, timer3);\n * result.subscribe(x => console.log(x));\n *\n * // results in the following:\n * // (Prints to console sequentially)\n * // -1000ms-> 0 -1000ms-> 1 -1000ms-> ... 9\n * // -2000ms-> 0 -2000ms-> 1 -2000ms-> ... 5\n * // -500ms-> 0 -500ms-> 1 -500ms-> ... 9\n * ```\n *\n * ### Concatenate the same Observable to repeat it\n * ```ts\n * import { concat, interval } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * const timer = interval(1000).pipe(take(2));\n *\n * concat(timer, timer) // concatenating the same Observable!\n * .subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('...and it is done!')\n * );\n *\n * // Logs:\n * // 0 after 1s\n * // 1 after 2s\n * // 0 after 3s\n * // 1 after 4s\n * // \"...and it is done!\" also after 4s\n * ```\n *\n * @see {@link concatAll}\n * @see {@link concatMap}\n * @see {@link concatMapTo}\n * @see {@link startWith}\n * @see {@link endWith}\n *\n * @param {ObservableInput} input1 An input Observable to concatenate with others.\n * @param {ObservableInput} input2 An input Observable to concatenate with others.\n * More than one input Observables may be given as argument.\n * @param {SchedulerLike} [scheduler=null] An optional {@link SchedulerLike} to schedule each\n * Observable subscription on.\n * @return {Observable} All values of each passed Observable merged into a\n * single Observable, in order, in serial fashion.\n * @static true\n * @name concat\n * @owner Observable\n */\nexport function concat<O extends ObservableInput<any>, R>(...observables: Array<O | SchedulerLike>): Observable<ObservedValueOf<O> | R> {\n  return concatAll<R>()(of(...observables));\n}\n","import { Observable } from '../Observable';\nimport { ObservableInput, SchedulerLike, ObservedValueOf } from '../types';\nimport { isScheduler  } from '../util/isScheduler';\nimport { isArray  } from '../util/isArray';\nimport { Subscriber } from '../Subscriber';\nimport { OuterSubscriber } from '../OuterSubscriber';\nimport { Operator } from '../Operator';\nimport { InnerSubscriber } from '../InnerSubscriber';\nimport { subscribeToResult } from '../util/subscribeToResult';\nimport { fromArray } from './fromArray';\n\nconst NONE = {};\n\n/* tslint:disable:max-line-length */\n\n// If called with a single array, it \"auto-spreads\" the array, with result selector\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, R>(sources: [O1], resultSelector: (v1: ObservedValueOf<O1>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, R>(sources: [O1, O2], resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, R>(sources: [O1, O2, O3], resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, R>(sources: [O1, O2, O3, O4], resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, R>(sources: [O1, O2, O3, O4, O5], resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>, R>(sources: [O1, O2, O3, O4, O5, O6], resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>, v6: ObservedValueOf<O6>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O extends ObservableInput<any>, R>(sources: O[], resultSelector: (...args: ObservedValueOf<O>[]) => R, scheduler?: SchedulerLike): Observable<R>;\n\n// standard call, but with a result selector\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, R>(v1: O1, resultSelector: (v1: ObservedValueOf<O1>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, R>(v1: O1, v2: O2, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>) => R, scheduler?: SchedulerLike): Observable<R>;\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>, R>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6, resultSelector: (v1: ObservedValueOf<O1>, v2: ObservedValueOf<O2>, v3: ObservedValueOf<O3>, v4: ObservedValueOf<O4>, v5: ObservedValueOf<O5>, v6: ObservedValueOf<O6>) => R, scheduler?: SchedulerLike): Observable<R>;\n\n// With a scheduler (deprecated)\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>>(sources: [O1], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(sources: [O1, O2], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(sources: [O1, O2, O3], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(sources: [O1, O2, O3, O4], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(sources: [O1, O2, O3, O4, O5], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(sources: [O1, O2, O3, O4, O5, O6], scheduler: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>, ObservedValueOf<O6>]>;\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O extends ObservableInput<any>>(sources: O[], scheduler: SchedulerLike): Observable<ObservedValueOf<O>[]>;\n\n// Best case\nexport function combineLatest<O1 extends ObservableInput<any>>(sources: [O1]): Observable<[ObservedValueOf<O1>]>;\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(sources: [O1, O2]): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>]>;\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(sources: [O1, O2, O3]): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>]>;\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(sources: [O1, O2, O3, O4]): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>]>;\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(sources: [O1, O2, O3, O4, O5]): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>]>;\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(sources: [O1, O2, O3, O4, O5, O6]): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>, ObservedValueOf<O6>]>;\nexport function combineLatest<O extends ObservableInput<any>>(sources: O[]): Observable<ObservedValueOf<O>[]>;\n\n// Standard calls\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>>(v1: O1, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>]>;\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>>(v1: O1, v2: O2, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>]>;\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>]>;\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>]>;\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>]>;\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O1 extends ObservableInput<any>, O2 extends ObservableInput<any>, O3 extends ObservableInput<any>, O4 extends ObservableInput<any>, O5 extends ObservableInput<any>, O6 extends ObservableInput<any>>(v1: O1, v2: O2, v3: O3, v4: O4, v5: O5, v6: O6, scheduler?: SchedulerLike): Observable<[ObservedValueOf<O1>, ObservedValueOf<O2>, ObservedValueOf<O3>, ObservedValueOf<O4>, ObservedValueOf<O5>, ObservedValueOf<O6>]>;\n\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O extends ObservableInput<any>>(...observables: O[]): Observable<any[]>;\n\n/** @deprecated Pass arguments in a single array instead `combineLatest([a, b, c])` */\nexport function combineLatest<O extends ObservableInput<any>, R>(...observables: Array<ObservableInput<any> | ((...values: Array<any>) => R)>): Observable<R>;\n\n/** @deprecated resultSelector no longer supported, pipe to map instead */\nexport function combineLatest<O extends ObservableInput<any>, R>(array: O[], resultSelector: (...values: ObservedValueOf<O>[]) => R, scheduler?: SchedulerLike): Observable<R>;\n\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O extends ObservableInput<any>>(...observables: Array<O | SchedulerLike>): Observable<any[]>;\n\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<O extends ObservableInput<any>, R>(...observables: Array<O | ((...values: ObservedValueOf<O>[]) => R) | SchedulerLike>): Observable<R>;\n\n/** @deprecated Passing a scheduler here is deprecated, use {@link subscribeOn} and/or {@link observeOn} instead */\nexport function combineLatest<R>(...observables: Array<ObservableInput<any> | ((...values: Array<any>) => R) | SchedulerLike>): Observable<R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Combines multiple Observables to create an Observable whose values are\n * calculated from the latest values of each of its input Observables.\n *\n * <span class=\"informal\">Whenever any input Observable emits a value, it\n * computes a formula using the latest values from all the inputs, then emits\n * the output of that formula.</span>\n *\n * ![](combineLatest.png)\n *\n * `combineLatest` combines the values from all the Observables passed as\n * arguments. This is done by subscribing to each Observable in order and,\n * whenever any Observable emits, collecting an array of the most recent\n * values from each Observable. So if you pass `n` Observables to operator,\n * returned Observable will always emit an array of `n` values, in order\n * corresponding to order of passed Observables (value from the first Observable\n * on the first place and so on).\n *\n * Static version of `combineLatest` accepts either an array of Observables\n * or each Observable can be put directly as an argument. Note that array of\n * Observables is good choice, if you don't know beforehand how many Observables\n * you will combine. Passing empty array will result in Observable that\n * completes immediately.\n *\n * To ensure output array has always the same length, `combineLatest` will\n * actually wait for all input Observables to emit at least once,\n * before it starts emitting results. This means if some Observable emits\n * values before other Observables started emitting, all these values but the last\n * will be lost. On the other hand, if some Observable does not emit a value but\n * completes, resulting Observable will complete at the same moment without\n * emitting anything, since it will be now impossible to include value from\n * completed Observable in resulting array. Also, if some input Observable does\n * not emit any value and never completes, `combineLatest` will also never emit\n * and never complete, since, again, it will wait for all streams to emit some\n * value.\n *\n * If at least one Observable was passed to `combineLatest` and all passed Observables\n * emitted something, resulting Observable will complete when all combined\n * streams complete. So even if some Observable completes, result of\n * `combineLatest` will still emit values when other Observables do. In case\n * of completed Observable, its value from now on will always be the last\n * emitted value. On the other hand, if any Observable errors, `combineLatest`\n * will error immediately as well, and all other Observables will be unsubscribed.\n *\n * `combineLatest` accepts as optional parameter `project` function, which takes\n * as arguments all values that would normally be emitted by resulting Observable.\n * `project` can return any kind of value, which will be then emitted by Observable\n * instead of default array. Note that `project` does not take as argument that array\n * of values, but values themselves. That means default `project` can be imagined\n * as function that takes all its arguments and puts them into an array.\n *\n * ## Examples\n * ### Combine two timer Observables\n * ```ts\n * import { combineLatest, timer } from 'rxjs';\n *\n * const firstTimer = timer(0, 1000); // emit 0, 1, 2... after every second, starting from now\n * const secondTimer = timer(500, 1000); // emit 0, 1, 2... after every second, starting 0,5s from now\n * const combinedTimers = combineLatest(firstTimer, secondTimer);\n * combinedTimers.subscribe(value => console.log(value));\n * // Logs\n * // [0, 0] after 0.5s\n * // [1, 0] after 1s\n * // [1, 1] after 1.5s\n * // [2, 1] after 2s\n * ```\n *\n * ### Combine an array of Observables\n * ```ts\n * import { combineLatest, of } from 'rxjs';\n * import { delay, starWith } from 'rxjs/operators';\n *\n * const observables = [1, 5, 10].map(\n *   n => of(n).pipe(\n *     delay(n * 1000),   // emit 0 and then emit n after n seconds\n *     startWith(0),\n *   )\n * );\n * const combined = combineLatest(observables);\n * combined.subscribe(value => console.log(value));\n * // Logs\n * // [0, 0, 0] immediately\n * // [1, 0, 0] after 1s\n * // [1, 5, 0] after 5s\n * // [1, 5, 10] after 10s\n * ```\n *\n *\n * ### Use project function to dynamically calculate the Body-Mass Index\n * ```ts\n * import { combineLatest, of } from 'rxjs';\n * import { map } from 'rxjs/operators';\n *\n * const weight = of(70, 72, 76, 79, 75);\n * const height = of(1.76, 1.77, 1.78);\n * const bmi = combineLatest(weight, height).pipe(\n *   map(([w, h]) => w / (h * h)),\n * );\n * bmi.subscribe(x => console.log('BMI is ' + x));\n *\n * // With output to console:\n * // BMI is 24.212293388429753\n * // BMI is 23.93948099205209\n * // BMI is 23.671253629592222\n * ```\n *\n * @see {@link combineAll}\n * @see {@link merge}\n * @see {@link withLatestFrom}\n *\n * @param {ObservableInput} observable1 An input Observable to combine with other Observables.\n * @param {ObservableInput} observable2 An input Observable to combine with other Observables.\n * More than one input Observables may be given as arguments\n * or an array of Observables may be given as the first argument.\n * @param {function} [project] An optional function to project the values from\n * the combined latest values into a new value on the output Observable.\n * @param {SchedulerLike} [scheduler=null] The {@link SchedulerLike} to use for subscribing to\n * each input Observable.\n * @return {Observable} An Observable of projected values from the most recent\n * values from each input Observable, or an array of the most recent values from\n * each input Observable.\n */\nexport function combineLatest<O extends ObservableInput<any>, R>(\n  ...observables: (O | ((...values: ObservedValueOf<O>[]) => R) | SchedulerLike)[]\n): Observable<R> {\n  let resultSelector: (...values: Array<any>) => R =  null;\n  let scheduler: SchedulerLike = null;\n\n  if (isScheduler(observables[observables.length - 1])) {\n    scheduler = observables.pop() as SchedulerLike;\n  }\n\n  if (typeof observables[observables.length - 1] === 'function') {\n    resultSelector = observables.pop() as (...values: Array<any>) => R;\n  }\n\n  // if the first and only other argument besides the resultSelector is an array\n  // assume it's been called with `combineLatest([obs1, obs2, obs3], resultSelector)`\n  if (observables.length === 1 && isArray(observables[0])) {\n    observables = observables[0] as any;\n  }\n\n  return fromArray(observables, scheduler).lift(new CombineLatestOperator<ObservedValueOf<O>, R>(resultSelector));\n}\n\nexport class CombineLatestOperator<T, R> implements Operator<T, R> {\n  constructor(private resultSelector?: (...values: Array<any>) => R) {\n  }\n\n  call(subscriber: Subscriber<R>, source: any): any {\n    return source.subscribe(new CombineLatestSubscriber(subscriber, this.resultSelector));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class CombineLatestSubscriber<T, R> extends OuterSubscriber<T, R> {\n  private active: number = 0;\n  private values: any[] = [];\n  private observables: any[] = [];\n  private toRespond: number;\n\n  constructor(destination: Subscriber<R>, private resultSelector?: (...values: Array<any>) => R) {\n    super(destination);\n  }\n\n  protected _next(observable: any) {\n    this.values.push(NONE);\n    this.observables.push(observable);\n  }\n\n  protected _complete() {\n    const observables = this.observables;\n    const len = observables.length;\n    if (len === 0) {\n      this.destination.complete();\n    } else {\n      this.active = len;\n      this.toRespond = len;\n      for (let i = 0; i < len; i++) {\n        const observable = observables[i];\n        this.add(subscribeToResult(this, observable, observable, i));\n      }\n    }\n  }\n\n  notifyComplete(unused: Subscriber<R>): void {\n    if ((this.active -= 1) === 0) {\n      this.destination.complete();\n    }\n  }\n\n  notifyNext(outerValue: T, innerValue: R,\n             outerIndex: number, innerIndex: number,\n             innerSub: InnerSubscriber<T, R>): void {\n    const values = this.values;\n    const oldVal = values[outerIndex];\n    const toRespond = !this.toRespond\n      ? 0\n      : oldVal === NONE ? --this.toRespond : this.toRespond;\n    values[outerIndex] = innerValue;\n\n    if (toRespond === 0) {\n      if (this.resultSelector) {\n        this._tryResultSelector(values);\n      } else {\n        this.destination.next(values.slice());\n      }\n    }\n  }\n\n  private _tryResultSelector(values: any[]) {\n    let result: any;\n    try {\n      result = this.resultSelector.apply(this, values);\n    } catch (err) {\n      this.destination.error(err);\n      return;\n    }\n    this.destination.next(result);\n  }\n}\n","import { Observable } from '../Observable';\nimport { SchedulerAction, SchedulerLike } from '../types';\nimport { async } from '../scheduler/async';\nimport { isNumeric } from '../util/isNumeric';\nimport { isScheduler } from '../util/isScheduler';\nimport { Subscriber } from '../Subscriber';\n\n/**\n * Creates an Observable that starts emitting after an `dueTime` and\n * emits ever increasing numbers after each `period` of time thereafter.\n *\n * <span class=\"informal\">Its like {@link index/interval}, but you can specify when\n * should the emissions start.</span>\n *\n * ![](timer.png)\n *\n * `timer` returns an Observable that emits an infinite sequence of ascending\n * integers, with a constant interval of time, `period` of your choosing\n * between those emissions. The first emission happens after the specified\n * `dueTime`. The initial delay may be a `Date`. By default, this\n * operator uses the {@link asyncScheduler} {@link SchedulerLike} to provide a notion of time, but you\n * may pass any {@link SchedulerLike} to it. If `period` is not specified, the output\n * Observable emits only one value, `0`. Otherwise, it emits an infinite\n * sequence.\n *\n * ## Examples\n * ### Emits ascending numbers, one every second (1000ms), starting after 3 seconds\n * ```ts\n * import { timer } from 'rxjs';\n *\n * const numbers = timer(3000, 1000);\n * numbers.subscribe(x => console.log(x));\n * ```\n *\n * ### Emits one number after five seconds\n * ```ts\n * import { timer } from 'rxjs';\n *\n * const numbers = timer(5000);\n * numbers.subscribe(x => console.log(x));\n * ```\n * @see {@link index/interval}\n * @see {@link delay}\n *\n * @param {number|Date} [dueTime] The initial delay time specified as a Date object or as an integer denoting\n * milliseconds to wait before emitting the first value of 0`.\n * @param {number|SchedulerLike} [periodOrScheduler] The period of time between emissions of the\n * subsequent numbers.\n * @param {SchedulerLike} [scheduler=async] The {@link SchedulerLike} to use for scheduling\n * the emission of values, and providing a notion of \"time\".\n * @return {Observable} An Observable that emits a `0` after the\n * `dueTime` and ever increasing numbers after each `period` of time\n * thereafter.\n * @static true\n * @name timer\n * @owner Observable\n */\nexport function timer(dueTime: number | Date = 0,\n                      periodOrScheduler?: number | SchedulerLike,\n                      scheduler?: SchedulerLike): Observable<number> {\n  let period = -1;\n  if (isNumeric(periodOrScheduler)) {\n    period = Number(periodOrScheduler) < 1 && 1 || Number(periodOrScheduler);\n  } else if (isScheduler(periodOrScheduler)) {\n    scheduler = periodOrScheduler as any;\n  }\n\n  if (!isScheduler(scheduler)) {\n    scheduler = async;\n  }\n\n  return new Observable(subscriber => {\n    const due = isNumeric(dueTime)\n      ? (dueTime as number)\n      : (+dueTime - scheduler.now());\n\n    return scheduler.schedule(dispatch, due, {\n      index: 0, period, subscriber\n    });\n  });\n}\n\ninterface TimerState {\n  index: number;\n  period: number;\n  subscriber: Subscriber<number>;\n}\n\nfunction dispatch(this: SchedulerAction<TimerState>, state: TimerState) {\n  const { index, period, subscriber } = state;\n  subscriber.next(index);\n\n  if (subscriber.closed) {\n    return;\n  } else if (period === -1) {\n    return subscriber.complete();\n  }\n\n  state.index = index + 1;\n  this.schedule(state, period);\n}\n","import { Scheduler } from '../Scheduler';\nimport { Subscription } from '../Subscription';\nimport { SchedulerAction } from '../types';\n\n/**\n * A unit of work to be executed in a `scheduler`. An action is typically\n * created from within a {@link SchedulerLike} and an RxJS user does not need to concern\n * themselves about creating and manipulating an Action.\n *\n * ```ts\n * class Action<T> extends Subscription {\n *   new (scheduler: Scheduler, work: (state?: T) => void);\n *   schedule(state?: T, delay: number = 0): Subscription;\n * }\n * ```\n *\n * @class Action<T>\n */\nexport class Action<T> extends Subscription {\n  constructor(scheduler: Scheduler, work: (this: SchedulerAction<T>, state?: T) => void) {\n    super();\n  }\n  /**\n   * Schedules this action on its parent {@link SchedulerLike} for execution. May be passed\n   * some context object, `state`. May happen at some point in the future,\n   * according to the `delay` parameter, if specified.\n   * @param {T} [state] Some contextual data that the `work` function uses when\n   * called by the Scheduler.\n   * @param {number} [delay] Time to wait before executing the work, where the\n   * time unit is implicit and defined by the Scheduler.\n   * @return {void}\n   */\n  public schedule(state?: T, delay: number = 0): Subscription {\n    return this;\n  }\n}\n","import { Action } from './Action';\nimport { SchedulerAction } from '../types';\nimport { Subscription } from '../Subscription';\nimport { AsyncScheduler } from './AsyncScheduler';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class AsyncAction<T> extends Action<T> {\n\n  public id: any;\n  public state: T;\n  public delay: number;\n  protected pending: boolean = false;\n\n  constructor(protected scheduler: AsyncScheduler,\n              protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  public schedule(state?: T, delay: number = 0): Subscription {\n\n    if (this.closed) {\n      return this;\n    }\n\n    // Always replace the current state with the new state.\n    this.state = state;\n\n    const id = this.id;\n    const scheduler = this.scheduler;\n\n    //\n    // Important implementation note:\n    //\n    // Actions only execute once by default, unless rescheduled from within the\n    // scheduled callback. This allows us to implement single and repeat\n    // actions via the same code path, without adding API surface area, as well\n    // as mimic traditional recursion but across asynchronous boundaries.\n    //\n    // However, JS runtimes and timers distinguish between intervals achieved by\n    // serial `setTimeout` calls vs. a single `setInterval` call. An interval of\n    // serial `setTimeout` calls can be individually delayed, which delays\n    // scheduling the next `setTimeout`, and so on. `setInterval` attempts to\n    // guarantee the interval callback will be invoked more precisely to the\n    // interval period, regardless of load.\n    //\n    // Therefore, we use `setInterval` to schedule single and repeat actions.\n    // If the action reschedules itself with the same delay, the interval is not\n    // canceled. If the action doesn't reschedule, or reschedules with a\n    // different delay, the interval will be canceled after scheduled callback\n    // execution.\n    //\n    if (id != null) {\n      this.id = this.recycleAsyncId(scheduler, id, delay);\n    }\n\n    // Set the pending flag indicating that this action has been scheduled, or\n    // has recursively rescheduled itself.\n    this.pending = true;\n\n    this.delay = delay;\n    // If this action has already an async Id, don't request a new one.\n    this.id = this.id || this.requestAsyncId(scheduler, this.id, delay);\n\n    return this;\n  }\n\n  protected requestAsyncId(scheduler: AsyncScheduler, id?: any, delay: number = 0): any {\n    return setInterval(scheduler.flush.bind(scheduler, this), delay);\n  }\n\n  protected recycleAsyncId(scheduler: AsyncScheduler, id: any, delay: number = 0): any {\n    // If this action is rescheduled with the same delay time, don't clear the interval id.\n    if (delay !== null && this.delay === delay && this.pending === false) {\n      return id;\n    }\n    // Otherwise, if the action's delay time is different from the current delay,\n    // or the action has been rescheduled before it's executed, clear the interval id\n    clearInterval(id);\n    return undefined;\n  }\n\n  /**\n   * Immediately executes this action and the `work` it contains.\n   * @return {any}\n   */\n  public execute(state: T, delay: number): any {\n\n    if (this.closed) {\n      return new Error('executing a cancelled action');\n    }\n\n    this.pending = false;\n    const error = this._execute(state, delay);\n    if (error) {\n      return error;\n    } else if (this.pending === false && this.id != null) {\n      // Dequeue if the action didn't reschedule itself. Don't call\n      // unsubscribe(), because the action could reschedule later.\n      // For example:\n      // ```\n      // scheduler.schedule(function doWork(counter) {\n      //   /* ... I'm a busy worker bee ... */\n      //   var originalAction = this;\n      //   /* wait 100ms before rescheduling the action */\n      //   setTimeout(function () {\n      //     originalAction.schedule(counter + 1);\n      //   }, 100);\n      // }, 1000);\n      // ```\n      this.id = this.recycleAsyncId(this.scheduler, this.id, null);\n    }\n  }\n\n  protected _execute(state: T, delay: number): any {\n    let errored: boolean = false;\n    let errorValue: any = undefined;\n    try {\n      this.work(state);\n    } catch (e) {\n      errored = true;\n      errorValue = !!e && e || new Error(e);\n    }\n    if (errored) {\n      this.unsubscribe();\n      return errorValue;\n    }\n  }\n\n  /** @deprecated This is an internal implementation detail, do not use. */\n  _unsubscribe() {\n\n    const id = this.id;\n    const scheduler = this.scheduler;\n    const actions = scheduler.actions;\n    const index = actions.indexOf(this);\n\n    this.work  = null;\n    this.state = null;\n    this.pending = false;\n    this.scheduler = null;\n\n    if (index !== -1) {\n      actions.splice(index, 1);\n    }\n\n    if (id != null) {\n      this.id = this.recycleAsyncId(scheduler, id, null);\n    }\n\n    this.delay = null;\n  }\n}\n","import { scheduleObservable } from './scheduleObservable';\nimport { schedulePromise } from './schedulePromise';\nimport { scheduleArray } from './scheduleArray';\nimport { scheduleIterable } from './scheduleIterable';\nimport { ObservableInput, SchedulerLike, Observable } from 'rxjs';\nimport { isInteropObservable } from '../util/isInteropObservable';\nimport { isPromise } from '../util/isPromise';\nimport { isArrayLike } from '../util/isArrayLike';\nimport { isIterable } from '../util/isIterable';\n\n/**\n * Converts from a common {@link ObservableInput} type to an observable where subscription and emissions\n * are scheduled on the provided scheduler.\n *\n * @see from\n * @see of\n *\n * @param input The observable, array, promise, iterable, etc you would like to schedule\n * @param scheduler The scheduler to use to schedule the subscription and emissions from\n * the returned observable.\n */\nexport function scheduled<T>(input: ObservableInput<T>, scheduler: SchedulerLike): Observable<T> {\n  if (input != null) {\n    if (isInteropObservable(input)) {\n      return scheduleObservable(input, scheduler);\n    } else if (isPromise(input)) {\n      return schedulePromise(input, scheduler);\n    } else if (isArrayLike(input)) {\n      return scheduleArray(input, scheduler);\n    }  else if (isIterable(input) || typeof input === 'string') {\n      return scheduleIterable(input, scheduler);\n    }\n  }\n\n  throw new TypeError((input !== null && typeof input || input) + ' is not observable');\n}\n","import { InteropObservable } from '../types';\nimport { observable as Symbol_observable } from '../symbol/observable';\n\n/** Identifies an input as being Observable (but not necessary an Rx Observable) */\nexport function isInteropObservable(input: any): input is InteropObservable<any> {\n  return input && typeof input[Symbol_observable] === 'function';\n}\n","import { Observable } from '../Observable';\nimport { Subscription } from '../Subscription';\nimport { observable as Symbol_observable } from '../symbol/observable';\nimport { InteropObservable, SchedulerLike, Subscribable } from '../types';\n\nexport function scheduleObservable<T>(input: InteropObservable<T>, scheduler: SchedulerLike) {\n  return new Observable<T>(subscriber => {\n    const sub = new Subscription();\n    sub.add(scheduler.schedule(() => {\n      const observable: Subscribable<T> = input[Symbol_observable]();\n      sub.add(observable.subscribe({\n        next(value) { sub.add(scheduler.schedule(() => subscriber.next(value))); },\n        error(err) { sub.add(scheduler.schedule(() => subscriber.error(err))); },\n        complete() { sub.add(scheduler.schedule(() => subscriber.complete())); },\n      }));\n    }));\n    return sub;\n  });\n}\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { Subscription } from '../Subscription';\n\nexport function schedulePromise<T>(input: PromiseLike<T>, scheduler: SchedulerLike) {\n  return new Observable<T>(subscriber => {\n    const sub = new Subscription();\n    sub.add(scheduler.schedule(() => input.then(\n      value => {\n        sub.add(scheduler.schedule(() => {\n          subscriber.next(value);\n          sub.add(scheduler.schedule(() => subscriber.complete()));\n        }));\n      },\n      err => {\n        sub.add(scheduler.schedule(() => subscriber.error(err)));\n      }\n    )));\n    return sub;\n  });\n}\n","import { iterator as Symbol_iterator } from '../symbol/iterator';\n\n/** Identifies an input as being an Iterable */\nexport function isIterable(input: any): input is Iterable<any> {\n  return input && typeof input[Symbol_iterator] === 'function';\n}\n","import { Observable } from '../Observable';\nimport { SchedulerLike } from '../types';\nimport { Subscription } from '../Subscription';\nimport { iterator as Symbol_iterator } from '../symbol/iterator';\n\nexport function scheduleIterable<T>(input: Iterable<T>, scheduler: SchedulerLike) {\n  if (!input) {\n    throw new Error('Iterable cannot be null');\n  }\n  return new Observable<T>(subscriber => {\n    const sub = new Subscription();\n    let iterator: Iterator<T>;\n    sub.add(() => {\n      // Finalize generators\n      if (iterator && typeof iterator.return === 'function') {\n        iterator.return();\n      }\n    });\n    sub.add(scheduler.schedule(() => {\n      iterator = input[Symbol_iterator]();\n      sub.add(scheduler.schedule(function () {\n        if (subscriber.closed) {\n          return;\n        }\n        let value: T;\n        let done: boolean;\n        try {\n          const result = iterator.next();\n          value = result.value;\n          done = result.done;\n        } catch (err) {\n          subscriber.error(err);\n          return;\n        }\n        if (done) {\n          subscriber.complete();\n        } else {\n          subscriber.next(value);\n          this.schedule();\n        }\n      }));\n    }));\n    return sub;\n  });\n}\n","let _enable_super_gross_mode_that_will_cause_bad_things = false;\n\n/**\n * The global configuration object for RxJS, used to configure things\n * like what Promise contructor should used to create Promises\n */\nexport const config = {\n  /**\n   * The promise constructor used by default for methods such as\n   * {@link toPromise} and {@link forEach}\n   */\n  Promise: undefined as PromiseConstructorLike,\n\n  /**\n   * If true, turns on synchronous error rethrowing, which is a deprecated behavior\n   * in v6 and higher. This behavior enables bad patterns like wrapping a subscribe\n   * call in a try/catch block. It also enables producer interference, a nasty bug\n   * where a multicast can be broken for all observers by a downstream consumer with\n   * an unhandled error. DO NOT USE THIS FLAG UNLESS IT'S NEEDED TO BY TIME\n   * FOR MIGRATION REASONS.\n   */\n  set useDeprecatedSynchronousErrorHandling(value: boolean) {\n    if (value) {\n      const error = new Error();\n      console.warn('DEPRECATED! RxJS was set to use deprecated synchronous error handling behavior by code at: \\n' + error.stack);\n    } else if (_enable_super_gross_mode_that_will_cause_bad_things) {\n      console.log('RxJS: Back to a better error behavior. Thank you. <3');\n    }\n    _enable_super_gross_mode_that_will_cause_bad_things = value;\n  },\n\n  get useDeprecatedSynchronousErrorHandling() {\n    return _enable_super_gross_mode_that_will_cause_bad_things;\n  },\n};\n","export const isArray = (() => Array.isArray || (<T>(x: any): x is T[] => x && typeof x.length === 'number'))();\n","import { Observable } from '../Observable';\nimport { SubscribableOrPromise, ObservedValueOf, ObservableInput } from '../types';\nimport { from } from './from'; // lol\nimport { empty } from './empty';\n\n/**\n * Creates an Observable that, on subscribe, calls an Observable factory to\n * make an Observable for each new Observer.\n *\n * <span class=\"informal\">Creates the Observable lazily, that is, only when it\n * is subscribed.\n * </span>\n *\n * ![](defer.png)\n *\n * `defer` allows you to create the Observable only when the Observer\n * subscribes, and create a fresh Observable for each Observer. It waits until\n * an Observer subscribes to it, and then it generates an Observable,\n * typically with an Observable factory function. It does this afresh for each\n * subscriber, so although each subscriber may think it is subscribing to the\n * same Observable, in fact each subscriber gets its own individual\n * Observable.\n *\n * ## Example\n * ### Subscribe to either an Observable of clicks or an Observable of interval, at random\n * ```ts\n * import { defer, fromEvent, interval } from 'rxjs';\n *\n * const clicksOrInterval = defer(function () {\n *   return Math.random() > 0.5\n *     ? fromEvent(document, 'click')\n *     : interval(1000);\n * });\n * clicksOrInterval.subscribe(x => console.log(x));\n *\n * // Results in the following behavior:\n * // If the result of Math.random() is greater than 0.5 it will listen\n * // for clicks anywhere on the \"document\"; when document is clicked it\n * // will log a MouseEvent object to the console. If the result is less\n * // than 0.5 it will emit ascending numbers, one every second(1000ms).\n * ```\n *\n * @see {@link Observable}\n *\n * @param {function(): SubscribableOrPromise} observableFactory The Observable\n * factory function to invoke for each Observer that subscribes to the output\n * Observable. May also return a Promise, which will be converted on the fly\n * to an Observable.\n * @return {Observable} An Observable whose Observers' subscriptions trigger\n * an invocation of the given Observable factory function.\n * @static true\n * @name defer\n * @owner Observable\n */\nexport function defer<R extends ObservableInput<any> | void>(observableFactory: () => R): Observable<ObservedValueOf<R>> {\n  return new Observable<ObservedValueOf<R>>(subscriber => {\n    let input: R | void;\n    try {\n      input = observableFactory();\n    } catch (err) {\n      subscriber.error(err);\n      return undefined;\n    }\n    const source = input ? from(input as ObservableInput<ObservedValueOf<R>>) : empty();\n    return source.subscribe(subscriber);\n  });\n}\n","export function identity<T>(x: T): T {\n  return x;\n}\n","import { Observable } from '../Observable';\nimport { defer } from './defer';\nimport { EMPTY } from './empty';\nimport { SubscribableOrPromise } from '../types';\n\n/**\n * Decides at subscription time which Observable will actually be subscribed.\n *\n * <span class=\"informal\">`If` statement for Observables.</span>\n *\n * `iif` accepts a condition function and two Observables. When\n * an Observable returned by the operator is subscribed, condition function will be called.\n * Based on what boolean it returns at that moment, consumer will subscribe either to\n * the first Observable (if condition was true) or to the second (if condition was false). Condition\n * function may also not return anything - in that case condition will be evaluated as false and\n * second Observable will be subscribed.\n *\n * Note that Observables for both cases (true and false) are optional. If condition points to an Observable that\n * was left undefined, resulting stream will simply complete immediately. That allows you to, rather\n * than controlling which Observable will be subscribed, decide at runtime if consumer should have access\n * to given Observable or not.\n *\n * If you have more complex logic that requires decision between more than two Observables, {@link defer}\n * will probably be a better choice. Actually `iif` can be easily implemented with {@link defer}\n * and exists only for convenience and readability reasons.\n *\n *\n * ## Examples\n * ### Change at runtime which Observable will be subscribed\n * ```ts\n * import { iif, of } from 'rxjs';\n *\n * let subscribeToFirst;\n * const firstOrSecond = iif(\n *   () => subscribeToFirst,\n *   of('first'),\n *   of('second'),\n * );\n *\n * subscribeToFirst = true;\n * firstOrSecond.subscribe(value => console.log(value));\n *\n * // Logs:\n * // \"first\"\n *\n * subscribeToFirst = false;\n * firstOrSecond.subscribe(value => console.log(value));\n *\n * // Logs:\n * // \"second\"\n *\n * ```\n *\n * ### Control an access to an Observable\n * ```ts\n * let accessGranted;\n * const observableIfYouHaveAccess = iif(\n *   () => accessGranted,\n *   of('It seems you have an access...'), // Note that only one Observable is passed to the operator.\n * );\n *\n * accessGranted = true;\n * observableIfYouHaveAccess.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('The end'),\n * );\n *\n * // Logs:\n * // \"It seems you have an access...\"\n * // \"The end\"\n *\n * accessGranted = false;\n * observableIfYouHaveAccess.subscribe(\n *   value => console.log(value),\n *   err => {},\n *   () => console.log('The end'),\n * );\n *\n * // Logs:\n * // \"The end\"\n * ```\n *\n * @see {@link defer}\n *\n * @param {function(): boolean} condition Condition which Observable should be chosen.\n * @param {Observable} [trueObservable] An Observable that will be subscribed if condition is true.\n * @param {Observable} [falseObservable] An Observable that will be subscribed if condition is false.\n * @return {Observable} Either first or second Observable, depending on condition.\n * @static true\n * @name iif\n * @owner Observable\n*/\nexport function iif<T = never, F = never>(\n  condition: () => boolean,\n  trueResult: SubscribableOrPromise<T> = EMPTY,\n  falseResult: SubscribableOrPromise<F> = EMPTY\n): Observable<T|F> {\n  return defer(() => condition() ? trueResult : falseResult);\n}\n","/*! *****************************************************************************\r\nCopyright (c) Microsoft Corporation. All rights reserved.\r\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use\r\nthis file except in compliance with the License. You may obtain a copy of the\r\nLicense at http://www.apache.org/licenses/LICENSE-2.0\r\n\r\nTHIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\nKIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\r\nWARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\r\nMERCHANTABLITY OR NON-INFRINGEMENT.\r\n\r\nSee the Apache Version 2.0 License for specific language governing permissions\r\nand limitations under the License.\r\n***************************************************************************** */\r\n/* global Reflect, Promise */\r\n\r\nvar extendStatics = function(d, b) {\r\n    extendStatics = Object.setPrototypeOf ||\r\n        ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\r\n        function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };\r\n    return extendStatics(d, b);\r\n};\r\n\r\nexport function __extends(d, b) {\r\n    extendStatics(d, b);\r\n    function __() { this.constructor = d; }\r\n    d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\r\n}\r\n\r\nexport var __assign = function() {\r\n    __assign = Object.assign || function __assign(t) {\r\n        for (var s, i = 1, n = arguments.length; i < n; i++) {\r\n            s = arguments[i];\r\n            for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\r\n        }\r\n        return t;\r\n    }\r\n    return __assign.apply(this, arguments);\r\n}\r\n\r\nexport function __rest(s, e) {\r\n    var t = {};\r\n    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)\r\n        t[p] = s[p];\r\n    if (s != null && typeof Object.getOwnPropertySymbols === \"function\")\r\n        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {\r\n            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))\r\n                t[p[i]] = s[p[i]];\r\n        }\r\n    return t;\r\n}\r\n\r\nexport function __decorate(decorators, target, key, desc) {\r\n    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;\r\n    if (typeof Reflect === \"object\" && typeof Reflect.decorate === \"function\") r = Reflect.decorate(decorators, target, key, desc);\r\n    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;\r\n    return c > 3 && r && Object.defineProperty(target, key, r), r;\r\n}\r\n\r\nexport function __param(paramIndex, decorator) {\r\n    return function (target, key) { decorator(target, key, paramIndex); }\r\n}\r\n\r\nexport function __metadata(metadataKey, metadataValue) {\r\n    if (typeof Reflect === \"object\" && typeof Reflect.metadata === \"function\") return Reflect.metadata(metadataKey, metadataValue);\r\n}\r\n\r\nexport function __awaiter(thisArg, _arguments, P, generator) {\r\n    return new (P || (P = Promise))(function (resolve, reject) {\r\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\r\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\r\n        function step(result) { result.done ? 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op[1] : void 0, done: true };\r\n    }\r\n}\r\n\r\nexport function __exportStar(m, exports) {\r\n    for (var p in m) if (!exports.hasOwnProperty(p)) exports[p] = m[p];\r\n}\r\n\r\nexport function __values(o) {\r\n    var m = typeof Symbol === \"function\" && o[Symbol.iterator], i = 0;\r\n    if (m) return m.call(o);\r\n    return {\r\n        next: function () {\r\n            if (o && i >= o.length) o = void 0;\r\n            return { value: o && o[i++], done: !o };\r\n        }\r\n    };\r\n}\r\n\r\nexport function __read(o, n) {\r\n    var m = typeof Symbol === \"function\" && o[Symbol.iterator];\r\n    if (!m) return o;\r\n    var i = m.call(o), r, ar = [], e;\r\n    try {\r\n        while ((n === void 0 || n-- > 0) && !(r = i.next()).done) ar.push(r.value);\r\n    }\r\n    catch (error) { e = { error: error }; }\r\n    finally {\r\n        try {\r\n            if (r && !r.done && (m = i[\"return\"])) m.call(i);\r\n        }\r\n        finally { if (e) throw e.error; }\r\n    }\r\n    return ar;\r\n}\r\n\r\nexport function __spread() {\r\n    for (var ar = [], i = 0; i < arguments.length; i++)\r\n        ar = ar.concat(__read(arguments[i]));\r\n    return ar;\r\n}\r\n\r\nexport function __spreadArrays() {\r\n    for (var s = 0, i = 0, il = arguments.length; i < il; i++) s += arguments[i].length;\r\n    for (var r = Array(s), k = 0, i = 0; i < il; i++)\r\n        for (var a = arguments[i], j = 0, jl = a.length; j < jl; j++, k++)\r\n            r[k] = a[j];\r\n    return r;\r\n};\r\n\r\nexport function __await(v) {\r\n    return this instanceof __await ? (this.v = v, this) : new __await(v);\r\n}\r\n\r\nexport function __asyncGenerator(thisArg, _arguments, generator) {\r\n    if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n    var g = generator.apply(thisArg, _arguments || []), i, q = [];\r\n    return i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i;\r\n    function verb(n) { if (g[n]) i[n] = function (v) { return new Promise(function (a, b) { q.push([n, v, a, b]) > 1 || resume(n, v); }); }; }\r\n    function resume(n, v) { try { step(g[n](v)); } catch (e) { settle(q[0][3], e); } }\r\n    function step(r) { r.value instanceof __await ? Promise.resolve(r.value.v).then(fulfill, reject) : settle(q[0][2], r); }\r\n    function fulfill(value) { resume(\"next\", value); }\r\n    function reject(value) { resume(\"throw\", value); }\r\n    function settle(f, v) { if (f(v), q.shift(), q.length) resume(q[0][0], q[0][1]); }\r\n}\r\n\r\nexport function __asyncDelegator(o) {\r\n    var i, p;\r\n    return i = {}, verb(\"next\"), verb(\"throw\", function (e) { throw e; }), verb(\"return\"), i[Symbol.iterator] = function () { return this; }, i;\r\n    function verb(n, f) { i[n] = o[n] ? function (v) { return (p = !p) ? { value: __await(o[n](v)), done: n === \"return\" } : f ? f(v) : v; } : f; }\r\n}\r\n\r\nexport function __asyncValues(o) {\r\n    if (!Symbol.asyncIterator) throw new TypeError(\"Symbol.asyncIterator is not defined.\");\r\n    var m = o[Symbol.asyncIterator], i;\r\n    return m ? m.call(o) : (o = typeof __values === \"function\" ? __values(o) : o[Symbol.iterator](), i = {}, verb(\"next\"), verb(\"throw\"), verb(\"return\"), i[Symbol.asyncIterator] = function () { return this; }, i);\r\n    function verb(n) { i[n] = o[n] && function (v) { return new Promise(function (resolve, reject) { v = o[n](v), settle(resolve, reject, v.done, v.value); }); }; }\r\n    function settle(resolve, reject, d, v) { Promise.resolve(v).then(function(v) { resolve({ value: v, done: d }); }, reject); }\r\n}\r\n\r\nexport function __makeTemplateObject(cooked, raw) {\r\n    if (Object.defineProperty) { Object.defineProperty(cooked, \"raw\", { value: raw }); } else { cooked.raw = raw; }\r\n    return cooked;\r\n};\r\n\r\nexport function __importStar(mod) {\r\n    if (mod && mod.__esModule) return mod;\r\n    var result = {};\r\n    if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) result[k] = mod[k];\r\n    result.default = mod;\r\n    return result;\r\n}\r\n\r\nexport function __importDefault(mod) {\r\n    return (mod && mod.__esModule) ? mod : { default: mod };\r\n}\r\n","import { SchedulerLike } from '../types';\n\nexport function isScheduler(value: any): value is SchedulerLike {\n  return value && typeof (<any>value).schedule === 'function';\n}\n","import { Observable } from '../Observable';\nimport { ObservableInput, SchedulerLike} from '../types';\nimport { isScheduler } from '../util/isScheduler';\nimport { mergeAll } from '../operators/mergeAll';\nimport { fromArray } from './fromArray';\n\n/* tslint:disable:max-line-length */\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T>(v1: ObservableInput<T>, scheduler: SchedulerLike): Observable<T>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T>(v1: ObservableInput<T>, concurrent: number, scheduler: SchedulerLike): Observable<T>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2>(v1: ObservableInput<T>, v2: ObservableInput<T2>, scheduler: SchedulerLike): Observable<T | T2>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2>(v1: ObservableInput<T>, v2: ObservableInput<T2>, concurrent: number, scheduler: SchedulerLike): Observable<T | T2>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, scheduler: SchedulerLike): Observable<T | T2 | T3>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, concurrent: number, scheduler: SchedulerLike): Observable<T | T2 | T3>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, concurrent: number, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4, T5>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4, T5>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, concurrent: number, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4, T5, T6>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5 | T6>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, T2, T3, T4, T5, T6>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>, concurrent: number, scheduler: SchedulerLike): Observable<T | T2 | T3 | T4 | T5 | T6>;\n\nexport function merge<T>(v1: ObservableInput<T>): Observable<T>;\nexport function merge<T>(v1: ObservableInput<T>, concurrent?: number): Observable<T>;\nexport function merge<T, T2>(v1: ObservableInput<T>, v2: ObservableInput<T2>): Observable<T | T2>;\nexport function merge<T, T2>(v1: ObservableInput<T>, v2: ObservableInput<T2>, concurrent?: number): Observable<T | T2>;\nexport function merge<T, T2, T3>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>): Observable<T | T2 | T3>;\nexport function merge<T, T2, T3>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, concurrent?: number): Observable<T | T2 | T3>;\nexport function merge<T, T2, T3, T4>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>): Observable<T | T2 | T3 | T4>;\nexport function merge<T, T2, T3, T4>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, concurrent?: number): Observable<T | T2 | T3 | T4>;\nexport function merge<T, T2, T3, T4, T5>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>): Observable<T | T2 | T3 | T4 | T5>;\nexport function merge<T, T2, T3, T4, T5>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, concurrent?: number): Observable<T | T2 | T3 | T4 | T5>;\nexport function merge<T, T2, T3, T4, T5, T6>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>): Observable<T | T2 | T3 | T4 | T5 | T6>;\nexport function merge<T, T2, T3, T4, T5, T6>(v1: ObservableInput<T>, v2: ObservableInput<T2>, v3: ObservableInput<T3>, v4: ObservableInput<T4>, v5: ObservableInput<T5>, v6: ObservableInput<T6>, concurrent?: number): Observable<T | T2 | T3 | T4 | T5 | T6>;\nexport function merge<T>(...observables: (ObservableInput<T> | number)[]): Observable<T>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T>(...observables: (ObservableInput<T> | SchedulerLike | number)[]): Observable<T>;\nexport function merge<T, R>(...observables: (ObservableInput<any> | number)[]): Observable<R>;\n/** @deprecated use {@link scheduled} and {@link mergeAll} (e.g. `scheduled([ob1, ob2, ob3], scheduled).pipe(mergeAll())*/\nexport function merge<T, R>(...observables: (ObservableInput<any> | SchedulerLike | number)[]): Observable<R>;\n/* tslint:enable:max-line-length */\n/**\n * Creates an output Observable which concurrently emits all values from every\n * given input Observable.\n *\n * <span class=\"informal\">Flattens multiple Observables together by blending\n * their values into one Observable.</span>\n *\n * ![](merge.png)\n *\n * `merge` subscribes to each given input Observable (as arguments), and simply\n * forwards (without doing any transformation) all the values from all the input\n * Observables to the output Observable. The output Observable only completes\n * once all input Observables have completed. Any error delivered by an input\n * Observable will be immediately emitted on the output Observable.\n *\n * ## Examples\n * ### Merge together two Observables: 1s interval and clicks\n * ```ts\n * import { merge, fromEvent, interval } from 'rxjs';\n *\n * const clicks = fromEvent(document, 'click');\n * const timer = interval(1000);\n * const clicksOrTimer = merge(clicks, timer);\n * clicksOrTimer.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // timer will emit ascending values, one every second(1000ms) to console\n * // clicks logs MouseEvents to console everytime the \"document\" is clicked\n * // Since the two streams are merged you see these happening\n * // as they occur.\n * ```\n *\n * ### Merge together 3 Observables, but only 2 run concurrently\n * ```ts\n * import { merge, interval } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * const timer1 = interval(1000).pipe(take(10));\n * const timer2 = interval(2000).pipe(take(6));\n * const timer3 = interval(500).pipe(take(10));\n * const concurrent = 2; // the argument\n * const merged = merge(timer1, timer2, timer3, concurrent);\n * merged.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // - First timer1 and timer2 will run concurrently\n * // - timer1 will emit a value every 1000ms for 10 iterations\n * // - timer2 will emit a value every 2000ms for 6 iterations\n * // - after timer1 hits it's max iteration, timer2 will\n * //   continue, and timer3 will start to run concurrently with timer2\n * // - when timer2 hits it's max iteration it terminates, and\n * //   timer3 will continue to emit a value every 500ms until it is complete\n * ```\n *\n * @see {@link mergeAll}\n * @see {@link mergeMap}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n *\n * @param {...ObservableInput} observables Input Observables to merge together.\n * @param {number} [concurrent=Number.POSITIVE_INFINITY] Maximum number of input\n * Observables being subscribed to concurrently.\n * @param {SchedulerLike} [scheduler=null] The {@link SchedulerLike} to use for managing\n * concurrency of input Observables.\n * @return {Observable} an Observable that emits items that are the result of\n * every input Observable.\n * @static true\n * @name merge\n * @owner Observable\n */\nexport function merge<T, R>(...observables: Array<ObservableInput<any> | SchedulerLike | number>): Observable<R> {\n let concurrent = Number.POSITIVE_INFINITY;\n let scheduler: SchedulerLike = null;\n  let last: any = observables[observables.length - 1];\n  if (isScheduler(last)) {\n    scheduler = <SchedulerLike>observables.pop();\n    if (observables.length > 1 && typeof observables[observables.length - 1] === 'number') {\n      concurrent = <number>observables.pop();\n    }\n  } else if (typeof last === 'number') {\n    concurrent = <number>observables.pop();\n  }\n\n  if (scheduler === null && observables.length === 1 && observables[0] instanceof Observable) {\n    return <Observable<R>>observables[0];\n  }\n\n  return mergeAll<R>(concurrent)(fromArray<any>(observables, scheduler));\n}\n","import { Observable } from '../Observable';\nimport { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { subscribeToResult } from '../util/subscribeToResult';\nimport { OuterSubscriber } from '../OuterSubscriber';\nimport { InnerSubscriber } from '../InnerSubscriber';\nimport { ObservableInput, OperatorFunction, ObservedValueOf } from '../types';\nimport { map } from './map';\nimport { from } from '../observable/from';\n\n/* tslint:disable:max-line-length */\nexport function mergeMap<T, O extends ObservableInput<any>>(project: (value: T, index: number) => O, concurrent?: number): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated resultSelector no longer supported, use inner map instead */\nexport function mergeMap<T, O extends ObservableInput<any>>(project: (value: T, index: number) => O, resultSelector: undefined, concurrent?: number): OperatorFunction<T, ObservedValueOf<O>>;\n/** @deprecated resultSelector no longer supported, use inner map instead */\nexport function mergeMap<T, R, O extends ObservableInput<any>>(project: (value: T, index: number) => O, resultSelector: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R, concurrent?: number): OperatorFunction<T, R>;\n/* tslint:enable:max-line-length */\n\n/**\n * Projects each source value to an Observable which is merged in the output\n * Observable.\n *\n * <span class=\"informal\">Maps each value to an Observable, then flattens all of\n * these inner Observables using {@link mergeAll}.</span>\n *\n * ![](mergeMap.png)\n *\n * Returns an Observable that emits items based on applying a function that you\n * supply to each item emitted by the source Observable, where that function\n * returns an Observable, and then merging those resulting Observables and\n * emitting the results of this merger.\n *\n * ## Example\n * Map and flatten each letter to an Observable ticking every 1 second\n * ```ts\n * import { of, interval } from 'rxjs';\n * import { mergeMap, map } from 'rxjs/operators';\n *\n * const letters = of('a', 'b', 'c');\n * const result = letters.pipe(\n *   mergeMap(x => interval(1000).pipe(map(i => x+i))),\n * );\n * result.subscribe(x => console.log(x));\n *\n * // Results in the following:\n * // a0\n * // b0\n * // c0\n * // a1\n * // b1\n * // c1\n * // continues to list a,b,c with respective ascending integers\n * ```\n *\n * @see {@link concatMap}\n * @see {@link exhaustMap}\n * @see {@link merge}\n * @see {@link mergeAll}\n * @see {@link mergeMapTo}\n * @see {@link mergeScan}\n * @see {@link switchMap}\n *\n * @param {function(value: T, ?index: number): ObservableInput} project A function\n * that, when applied to an item emitted by the source Observable, returns an\n * Observable.\n * @param {number} [concurrent=Number.POSITIVE_INFINITY] Maximum number of input\n * Observables being subscribed to concurrently.\n * @return {Observable} An Observable that emits the result of applying the\n * projection function (and the optional deprecated `resultSelector`) to each item\n * emitted by the source Observable and merging the results of the Observables\n * obtained from this transformation.\n * @method mergeMap\n * @owner Observable\n */\nexport function mergeMap<T, R, O extends ObservableInput<any>>(\n  project: (value: T, index: number) => O,\n  resultSelector?: ((outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R) | number,\n  concurrent: number = Number.POSITIVE_INFINITY\n): OperatorFunction<T, ObservedValueOf<O>|R> {\n  if (typeof resultSelector === 'function') {\n    // DEPRECATED PATH\n    return (source: Observable<T>) => source.pipe(\n      mergeMap((a, i) => from(project(a, i)).pipe(\n        map((b: any, ii: number) => resultSelector(a, b, i, ii)),\n      ), concurrent)\n    );\n  } else if (typeof resultSelector === 'number') {\n    concurrent = resultSelector;\n  }\n  return (source: Observable<T>) => source.lift(new MergeMapOperator(project, concurrent));\n}\n\nexport class MergeMapOperator<T, R> implements Operator<T, R> {\n  constructor(private project: (value: T, index: number) => ObservableInput<R>,\n              private concurrent: number = Number.POSITIVE_INFINITY) {\n  }\n\n  call(observer: Subscriber<R>, source: any): any {\n    return source.subscribe(new MergeMapSubscriber(\n      observer, this.project, this.concurrent\n    ));\n  }\n}\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class MergeMapSubscriber<T, R> extends OuterSubscriber<T, R> {\n  private hasCompleted: boolean = false;\n  private buffer: T[] = [];\n  private active: number = 0;\n  protected index: number = 0;\n\n  constructor(destination: Subscriber<R>,\n              private project: (value: T, index: number) => ObservableInput<R>,\n              private concurrent: number = Number.POSITIVE_INFINITY) {\n    super(destination);\n  }\n\n  protected _next(value: T): void {\n    if (this.active < this.concurrent) {\n      this._tryNext(value);\n    } else {\n      this.buffer.push(value);\n    }\n  }\n\n  protected _tryNext(value: T) {\n    let result: ObservableInput<R>;\n    const index = this.index++;\n    try {\n      result = this.project(value, index);\n    } catch (err) {\n      this.destination.error(err);\n      return;\n    }\n    this.active++;\n    this._innerSub(result, value, index);\n  }\n\n  private _innerSub(ish: ObservableInput<R>, value: T, index: number): void {\n    const innerSubscriber = new InnerSubscriber(this, value, index);\n    const destination = this.destination as Subscription;\n    destination.add(innerSubscriber);\n    const innerSubscription = subscribeToResult<T, R>(this, ish, undefined, undefined, innerSubscriber);\n    // The returned subscription will usually be the subscriber that was\n    // passed. However, interop subscribers will be wrapped and for\n    // unsubscriptions to chain correctly, the wrapper needs to be added, too.\n    if (innerSubscription !== innerSubscriber) {\n      destination.add(innerSubscription);\n    }\n  }\n\n  protected _complete(): void {\n    this.hasCompleted = true;\n    if (this.active === 0 && this.buffer.length === 0) {\n      this.destination.complete();\n    }\n    this.unsubscribe();\n  }\n\n  notifyNext(outerValue: T, innerValue: R,\n             outerIndex: number, innerIndex: number,\n             innerSub: InnerSubscriber<T, R>): void {\n    this.destination.next(innerValue);\n  }\n\n  notifyComplete(innerSub: Subscription): void {\n    const buffer = this.buffer;\n    this.remove(innerSub);\n    this.active--;\n    if (buffer.length > 0) {\n      this._next(buffer.shift());\n    } else if (this.active === 0 && this.hasCompleted) {\n      this.destination.complete();\n    }\n  }\n}\n","import { isArray } from './util/isArray';\nimport { isObject } from './util/isObject';\nimport { isFunction } from './util/isFunction';\nimport { UnsubscriptionError } from './util/UnsubscriptionError';\nimport { SubscriptionLike, TeardownLogic } from './types';\n\n/**\n * Represents a disposable resource, such as the execution of an Observable. A\n * Subscription has one important method, `unsubscribe`, that takes no argument\n * and just disposes the resource held by the subscription.\n *\n * Additionally, subscriptions may be grouped together through the `add()`\n * method, which will attach a child Subscription to the current Subscription.\n * When a Subscription is unsubscribed, all its children (and its grandchildren)\n * will be unsubscribed as well.\n *\n * @class Subscription\n */\nexport class Subscription implements SubscriptionLike {\n  /** @nocollapse */\n  public static EMPTY: Subscription = (function(empty: any) {\n    empty.closed = true;\n    return empty;\n  }(new Subscription()));\n\n  /**\n   * A flag to indicate whether this Subscription has already been unsubscribed.\n   * @type {boolean}\n   */\n  public closed: boolean = false;\n\n  /** @internal */\n  protected _parentOrParents: Subscription | Subscription[] = null;\n  /** @internal */\n  private _subscriptions: SubscriptionLike[] = null;\n\n  /**\n   * @param {function(): void} [unsubscribe] A function describing how to\n   * perform the disposal of resources when the `unsubscribe` method is called.\n   */\n  constructor(unsubscribe?: () => void) {\n    if (unsubscribe) {\n      (<any> this)._unsubscribe = unsubscribe;\n    }\n  }\n\n  /**\n   * Disposes the resources held by the subscription. May, for instance, cancel\n   * an ongoing Observable execution or cancel any other type of work that\n   * started when the Subscription was created.\n   * @return {void}\n   */\n  unsubscribe(): void {\n    let errors: any[];\n\n    if (this.closed) {\n      return;\n    }\n\n    let { _parentOrParents, _unsubscribe, _subscriptions } = (<any> this);\n\n    this.closed = true;\n    this._parentOrParents = null;\n    // null out _subscriptions first so any child subscriptions that attempt\n    // to remove themselves from this subscription will noop\n    this._subscriptions = null;\n\n    if (_parentOrParents instanceof Subscription) {\n      _parentOrParents.remove(this);\n    } else if (_parentOrParents !== null) {\n      for (let index = 0; index < _parentOrParents.length; ++index) {\n        const parent = _parentOrParents[index];\n        parent.remove(this);\n      }\n    }\n\n    if (isFunction(_unsubscribe)) {\n      try {\n        _unsubscribe.call(this);\n      } catch (e) {\n        errors = e instanceof UnsubscriptionError ? flattenUnsubscriptionErrors(e.errors) : [e];\n      }\n    }\n\n    if (isArray(_subscriptions)) {\n      let index = -1;\n      let len = _subscriptions.length;\n\n      while (++index < len) {\n        const sub = _subscriptions[index];\n        if (isObject(sub)) {\n          try {\n            sub.unsubscribe();\n          } catch (e) {\n            errors = errors || [];\n            if (e instanceof UnsubscriptionError) {\n              errors = errors.concat(flattenUnsubscriptionErrors(e.errors));\n            } else {\n              errors.push(e);\n            }\n          }\n        }\n      }\n    }\n\n    if (errors) {\n      throw new UnsubscriptionError(errors);\n    }\n  }\n\n  /**\n   * Adds a tear down to be called during the unsubscribe() of this\n   * Subscription. Can also be used to add a child subscription.\n   *\n   * If the tear down being added is a subscription that is already\n   * unsubscribed, is the same reference `add` is being called on, or is\n   * `Subscription.EMPTY`, it will not be added.\n   *\n   * If this subscription is already in an `closed` state, the passed\n   * tear down logic will be executed immediately.\n   *\n   * When a parent subscription is unsubscribed, any child subscriptions that were added to it are also unsubscribed.\n   *\n   * @param {TeardownLogic} teardown The additional logic to execute on\n   * teardown.\n   * @return {Subscription} Returns the Subscription used or created to be\n   * added to the inner subscriptions list. This Subscription can be used with\n   * `remove()` to remove the passed teardown logic from the inner subscriptions\n   * list.\n   */\n  add(teardown: TeardownLogic): Subscription {\n    let subscription = (<Subscription>teardown);\n\n    if (!(<any>teardown)) {\n      return Subscription.EMPTY;\n    }\n\n    switch (typeof teardown) {\n      case 'function':\n        subscription = new Subscription(<(() => void)>teardown);\n      case 'object':\n        if (subscription === this || subscription.closed || typeof subscription.unsubscribe !== 'function') {\n          // This also covers the case where `subscription` is `Subscription.EMPTY`, which is always in `closed` state.\n          return subscription;\n        } else if (this.closed) {\n          subscription.unsubscribe();\n          return subscription;\n        } else if (!(subscription instanceof Subscription)) {\n          const tmp = subscription;\n          subscription = new Subscription();\n          subscription._subscriptions = [tmp];\n        }\n        break;\n      default: {\n        throw new Error('unrecognized teardown ' + teardown + ' added to Subscription.');\n      }\n    }\n\n    // Add `this` as parent of `subscription` if that's not already the case.\n    let { _parentOrParents } = subscription;\n    if (_parentOrParents === null) {\n      // If we don't have a parent, then set `subscription._parents` to\n      // the `this`, which is the common case that we optimize for.\n      subscription._parentOrParents = this;\n    } else if (_parentOrParents instanceof Subscription) {\n      if (_parentOrParents === this) {\n        // The `subscription` already has `this` as a parent.\n        return subscription;\n      }\n      // If there's already one parent, but not multiple, allocate an\n      // Array to store the rest of the parent Subscriptions.\n      subscription._parentOrParents = [_parentOrParents, this];\n    } else if (_parentOrParents.indexOf(this) === -1) {\n      // Only add `this` to the _parentOrParents list if it's not already there.\n      _parentOrParents.push(this);\n    } else {\n      // The `subscription` already has `this` as a parent.\n      return subscription;\n    }\n\n    // Optimize for the common case when adding the first subscription.\n    const subscriptions = this._subscriptions;\n    if (subscriptions === null) {\n      this._subscriptions = [subscription];\n    } else {\n      subscriptions.push(subscription);\n    }\n\n    return subscription;\n  }\n\n  /**\n   * Removes a Subscription from the internal list of subscriptions that will\n   * unsubscribe during the unsubscribe process of this Subscription.\n   * @param {Subscription} subscription The subscription to remove.\n   * @return {void}\n   */\n  remove(subscription: Subscription): void {\n    const subscriptions = this._subscriptions;\n    if (subscriptions) {\n      const subscriptionIndex = subscriptions.indexOf(subscription);\n      if (subscriptionIndex !== -1) {\n        subscriptions.splice(subscriptionIndex, 1);\n      }\n    }\n  }\n}\n\nfunction flattenUnsubscriptionErrors(errors: any[]) {\n return errors.reduce((errs, err) => errs.concat((err instanceof UnsubscriptionError) ? err.errors : err), []);\n}\n","import { Subscriber } from './Subscriber';\nimport { OuterSubscriber } from './OuterSubscriber';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class InnerSubscriber<T, R> extends Subscriber<R> {\n  private index = 0;\n\n  constructor(private parent: OuterSubscriber<T, R>, public outerValue: T, public outerIndex: number) {\n    super();\n  }\n\n  protected _next(value: R): void {\n    this.parent.notifyNext(this.outerValue, value, this.outerIndex, this.index++, this);\n  }\n\n  protected _error(error: any): void {\n    this.parent.notifyError(error, this);\n    this.unsubscribe();\n  }\n\n  protected _complete(): void {\n    this.parent.notifyComplete(this);\n    this.unsubscribe();\n  }\n}\n","import { Action } from './scheduler/Action';\nimport { Subscription } from './Subscription';\nimport { SchedulerLike, SchedulerAction } from './types';\n\n/**\n * An execution context and a data structure to order tasks and schedule their\n * execution. Provides a notion of (potentially virtual) time, through the\n * `now()` getter method.\n *\n * Each unit of work in a Scheduler is called an `Action`.\n *\n * ```ts\n * class Scheduler {\n *   now(): number;\n *   schedule(work, delay?, state?): Subscription;\n * }\n * ```\n *\n * @class Scheduler\n * @deprecated Scheduler is an internal implementation detail of RxJS, and\n * should not be used directly. Rather, create your own class and implement\n * {@link SchedulerLike}\n */\nexport class Scheduler implements SchedulerLike {\n\n  /**\n   * Note: the extra arrow function wrapper is to make testing by overriding\n   * Date.now easier.\n   * @nocollapse\n   */\n  public static now: () => number = () => Date.now();\n\n  constructor(private SchedulerAction: typeof Action,\n              now: () => number = Scheduler.now) {\n    this.now = now;\n  }\n\n  /**\n   * A getter method that returns a number representing the current time\n   * (at the time this function was called) according to the scheduler's own\n   * internal clock.\n   * @return {number} A number that represents the current time. May or may not\n   * have a relation to wall-clock time. May or may not refer to a time unit\n   * (e.g. milliseconds).\n   */\n  public now: () => number;\n\n  /**\n   * Schedules a function, `work`, for execution. May happen at some point in\n   * the future, according to the `delay` parameter, if specified. May be passed\n   * some context object, `state`, which will be passed to the `work` function.\n   *\n   * The given arguments will be processed an stored as an Action object in a\n   * queue of actions.\n   *\n   * @param {function(state: ?T): ?Subscription} work A function representing a\n   * task, or some unit of work to be executed by the Scheduler.\n   * @param {number} [delay] Time to wait before executing the work, where the\n   * time unit is implicit and defined by the Scheduler itself.\n   * @param {T} [state] Some contextual data that the `work` function uses when\n   * called by the Scheduler.\n   * @return {Subscription} A subscription in order to be able to unsubscribe\n   * the scheduled work.\n   */\n  public schedule<T>(work: (this: SchedulerAction<T>, state?: T) => void, delay: number = 0, state?: T): Subscription {\n    return new this.SchedulerAction<T>(this, work).schedule(state, delay);\n  }\n}\n","import { AsyncAction } from './AsyncAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\nimport { SchedulerAction } from '../types';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class AnimationFrameAction<T> extends AsyncAction<T> {\n\n  constructor(protected scheduler: AnimationFrameScheduler,\n              protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  protected requestAsyncId(scheduler: AnimationFrameScheduler, id?: any, delay: number = 0): any {\n    // If delay is greater than 0, request as an async action.\n    if (delay !== null && delay > 0) {\n      return super.requestAsyncId(scheduler, id, delay);\n    }\n    // Push the action to the end of the scheduler queue.\n    scheduler.actions.push(this);\n    // If an animation frame has already been requested, don't request another\n    // one. If an animation frame hasn't been requested yet, request one. Return\n    // the current animation frame request id.\n    return scheduler.scheduled || (scheduler.scheduled = requestAnimationFrame(\n      () => scheduler.flush(null)));\n  }\n  protected recycleAsyncId(scheduler: AnimationFrameScheduler, id?: any, delay: number = 0): any {\n    // If delay exists and is greater than 0, or if the delay is null (the\n    // action wasn't rescheduled) but was originally scheduled as an async\n    // action, then recycle as an async action.\n    if ((delay !== null && delay > 0) || (delay === null && this.delay > 0)) {\n      return super.recycleAsyncId(scheduler, id, delay);\n    }\n    // If the scheduler queue is empty, cancel the requested animation frame and\n    // set the scheduled flag to undefined so the next AnimationFrameAction will\n    // request its own.\n    if (scheduler.actions.length === 0) {\n      cancelAnimationFrame(id);\n      scheduler.scheduled = undefined;\n    }\n    // Return undefined so the action knows to request a new async id if it's rescheduled.\n    return undefined;\n  }\n}\n","import { AsyncAction } from './AsyncAction';\nimport { AsyncScheduler } from './AsyncScheduler';\n\nexport class AnimationFrameScheduler extends AsyncScheduler {\n  public flush(action?: AsyncAction<any>): void {\n\n    this.active = true;\n    this.scheduled = undefined;\n\n    const {actions} = this;\n    let error: any;\n    let index: number = -1;\n    let count: number = actions.length;\n    action = action || actions.shift();\n\n    do {\n      if (error = action.execute(action.state, action.delay)) {\n        break;\n      }\n    } while (++index < count && (action = actions.shift()));\n\n    this.active = false;\n\n    if (error) {\n      while (++index < count && (action = actions.shift())) {\n        action.unsubscribe();\n      }\n      throw error;\n    }\n  }\n}\n","import { AnimationFrameAction } from './AnimationFrameAction';\nimport { AnimationFrameScheduler } from './AnimationFrameScheduler';\n\n/**\n *\n * Animation Frame Scheduler\n *\n * <span class=\"informal\">Perform task when `window.requestAnimationFrame` would fire</span>\n *\n * When `animationFrame` scheduler is used with delay, it will fall back to {@link asyncScheduler} scheduler\n * behaviour.\n *\n * Without delay, `animationFrame` scheduler can be used to create smooth browser animations.\n * It makes sure scheduled task will happen just before next browser content repaint,\n * thus performing animations as efficiently as possible.\n *\n * ## Example\n * Schedule div height animation\n * ```ts\n * // html: <div style=\"background: #0ff;\"></div>\n * import { animationFrameScheduler } from 'rxjs';\n *\n * const div = document.querySelector('div');\n *\n * animationFrameScheduler.schedule(function(height) {\n *   div.style.height = height + \"px\";\n *\n *   this.schedule(height + 1);  // `this` references currently executing Action,\n *                               // which we reschedule with new state\n * }, 0, 0);\n *\n * // You will see a div element growing in height\n * ```\n *\n * @static true\n * @name animationFrame\n * @owner Scheduler\n */\n\nexport const animationFrame = new AnimationFrameScheduler(AnimationFrameAction);\n","import { Subject } from './Subject';\nimport { Observer } from './types';\nimport { Subscription } from './Subscription';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class SubjectSubscription<T> extends Subscription {\n  closed: boolean = false;\n\n  constructor(public subject: Subject<T>, public subscriber: Observer<T>) {\n    super();\n  }\n\n  unsubscribe() {\n    if (this.closed) {\n      return;\n    }\n\n    this.closed = true;\n\n    const subject = this.subject;\n    const observers = subject.observers;\n\n    this.subject = null;\n\n    if (!observers || observers.length === 0 || subject.isStopped || subject.closed) {\n      return;\n    }\n\n    const subscriberIndex = observers.indexOf(this.subscriber);\n\n    if (subscriberIndex !== -1) {\n      observers.splice(subscriberIndex, 1);\n    }\n  }\n}\n","/** Symbol.observable addition */\n/* Note: This will add Symbol.observable globally for all TypeScript users,\n  however, we are no longer polyfilling Symbol.observable */\ndeclare global {\n  interface SymbolConstructor {\n    readonly observable: symbol;\n  }\n}\n\n/** Symbol.observable or a string \"@@observable\". Used for interop */\nexport const observable = (() => typeof Symbol === 'function' && Symbol.observable || '@@observable')();\n","import { Observable } from '../Observable';\nimport { async } from '../scheduler/async';\nimport { SchedulerAction, SchedulerLike } from '../types';\nimport { isNumeric } from '../util/isNumeric';\nimport { Subscriber } from '../Subscriber';\n\n/**\n * Creates an Observable that emits sequential numbers every specified\n * interval of time, on a specified {@link SchedulerLike}.\n *\n * <span class=\"informal\">Emits incremental numbers periodically in time.\n * </span>\n *\n * ![](interval.png)\n *\n * `interval` returns an Observable that emits an infinite sequence of\n * ascending integers, with a constant interval of time of your choosing\n * between those emissions. The first emission is not sent immediately, but\n * only after the first period has passed. By default, this operator uses the\n * `async` {@link SchedulerLike} to provide a notion of time, but you may pass any\n * {@link SchedulerLike} to it.\n *\n * ## Example\n * Emits ascending numbers, one every second (1000ms) up to the number 3\n * ```ts\n * import { interval } from 'rxjs';\n * import { take } from 'rxjs/operators';\n *\n * const numbers = interval(1000);\n *\n * const takeFourNumbers = numbers.pipe(take(4));\n *\n * takeFourNumbers.subscribe(x => console.log('Next: ', x));\n *\n * // Logs:\n * // Next: 0\n * // Next: 1\n * // Next: 2\n * // Next: 3\n * ```\n *\n * @see {@link timer}\n * @see {@link delay}\n *\n * @param {number} [period=0] The interval size in milliseconds (by default)\n * or the time unit determined by the scheduler's clock.\n * @param {SchedulerLike} [scheduler=async] The {@link SchedulerLike} to use for scheduling\n * the emission of values, and providing a notion of \"time\".\n * @return {Observable} An Observable that emits a sequential number each time\n * interval.\n * @static true\n * @name interval\n * @owner Observable\n */\nexport function interval(period = 0,\n                         scheduler: SchedulerLike = async): Observable<number> {\n  if (!isNumeric(period) || period < 0) {\n    period = 0;\n  }\n\n  if (!scheduler || typeof scheduler.schedule !== 'function') {\n    scheduler = async;\n  }\n\n  return new Observable<number>(subscriber => {\n    subscriber.add(\n      scheduler.schedule(dispatch, period, { subscriber, counter: 0, period })\n    );\n    return subscriber;\n  });\n}\n\nfunction dispatch(this: SchedulerAction<IntervalState>, state: IntervalState) {\n  const { subscriber, counter, period } = state;\n  subscriber.next(counter);\n  this.schedule({ subscriber, counter: counter + 1, period }, period);\n}\n\ninterface IntervalState {\n  subscriber: Subscriber<number>;\n  counter: number;\n  period: number;\n}\n","import { noop } from './noop';\nimport { UnaryFunction } from '../types';\n\n/* tslint:disable:max-line-length */\nexport function pipe<T>(): UnaryFunction<T, T>;\nexport function pipe<T, A>(fn1: UnaryFunction<T, A>): UnaryFunction<T, A>;\nexport function pipe<T, A, B>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>): UnaryFunction<T, B>;\nexport function pipe<T, A, B, C>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>): UnaryFunction<T, C>;\nexport function pipe<T, A, B, C, D>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>): UnaryFunction<T, D>;\nexport function pipe<T, A, B, C, D, E>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>): UnaryFunction<T, E>;\nexport function pipe<T, A, B, C, D, E, F>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>, fn6: UnaryFunction<E, F>): UnaryFunction<T, F>;\nexport function pipe<T, A, B, C, D, E, F, G>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>, fn6: UnaryFunction<E, F>, fn7: UnaryFunction<F, G>): UnaryFunction<T, G>;\nexport function pipe<T, A, B, C, D, E, F, G, H>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>, fn6: UnaryFunction<E, F>, fn7: UnaryFunction<F, G>, fn8: UnaryFunction<G, H>): UnaryFunction<T, H>;\nexport function pipe<T, A, B, C, D, E, F, G, H, I>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>, fn6: UnaryFunction<E, F>, fn7: UnaryFunction<F, G>, fn8: UnaryFunction<G, H>, fn9: UnaryFunction<H, I>): UnaryFunction<T, I>;\nexport function pipe<T, A, B, C, D, E, F, G, H, I>(fn1: UnaryFunction<T, A>, fn2: UnaryFunction<A, B>, fn3: UnaryFunction<B, C>, fn4: UnaryFunction<C, D>, fn5: UnaryFunction<D, E>, fn6: UnaryFunction<E, F>, fn7: UnaryFunction<F, G>, fn8: UnaryFunction<G, H>, fn9: UnaryFunction<H, I>, ...fns: UnaryFunction<any, any>[]): UnaryFunction<T, {}>;\n/* tslint:enable:max-line-length */\n\nexport function pipe(...fns: Array<UnaryFunction<any, any>>): UnaryFunction<any, any> {\n  return pipeFromArray(fns);\n}\n\n/** @internal */\nexport function pipeFromArray<T, R>(fns: Array<UnaryFunction<T, R>>): UnaryFunction<T, R> {\n  if (!fns) {\n    return noop as UnaryFunction<any, any>;\n  }\n\n  if (fns.length === 1) {\n    return fns[0];\n  }\n\n  return function piped(input: T): R {\n    return fns.reduce((prev: any, fn: UnaryFunction<T, R>) => fn(prev), input as any);\n  };\n}\n","import { Operator } from '../Operator';\nimport { Subscriber } from '../Subscriber';\nimport { Subscription } from '../Subscription';\nimport { MonoTypeOperatorFunction, TeardownLogic } from '../types';\nimport { ConnectableObservable } from '../observable/ConnectableObservable';\nimport { Observable } from '../Observable';\n\n/**\n * Make a {@link ConnectableObservable} behave like a ordinary observable and automates the way\n * you can connect to it.\n *\n * Internally it counts the subscriptions to the observable and subscribes (only once) to the source if\n * the number of subscriptions is larger than 0. If the number of subscriptions is smaller than 1, it\n * unsubscribes from the source. This way you can make sure that everything before the *published*\n * refCount has only a single subscription independently of the number of subscribers to the target\n * observable.\n *\n * Note that using the {@link share} operator is exactly the same as using the *publish* operator\n * (making the observable hot) and the *refCount* operator in a sequence.\n *\n * ![](refCount.png)\n *\n * ## Example\n *\n * In the following example there are two intervals turned into connectable observables\n * by using the *publish* operator. The first one uses the *refCount* operator, the\n * second one does not use it. You will notice that a connectable observable does nothing\n * until you call its connect function.\n *\n * ```ts\n * import { interval } from 'rxjs';\n * import { tap, publish, refCount } from 'rxjs/operators';\n *\n * // Turn the interval observable into a ConnectableObservable (hot)\n * const refCountInterval = interval(400).pipe(\n *   tap((num) => console.log(`refCount ${num}`)),\n *   publish(),\n *   refCount()\n * );\n *\n * const publishedInterval = interval(400).pipe(\n *   tap((num) => console.log(`publish ${num}`)),\n *   publish()\n * );\n *\n * refCountInterval.subscribe();\n * refCountInterval.subscribe();\n * // 'refCount 0' -----> 'refCount 1' -----> etc\n * // All subscriptions will receive the same value and the tap (and\n * // every other operator) before the publish operator will be executed\n * // only once per event independently of the number of subscriptions.\n *\n * publishedInterval.subscribe();\n * // Nothing happens until you call .connect() on the observable.\n * ```\n *\n * @see {@link ConnectableObservable}\n * @see {@link share}\n * @see {@link publish}\n */\nexport function refCount<T>(): MonoTypeOperatorFunction<T> {\n  return function refCountOperatorFunction(source: ConnectableObservable<T>): Observable<T> {\n    return source.lift(new RefCountOperator(source));\n  } as MonoTypeOperatorFunction<T>;\n}\n\nclass RefCountOperator<T> implements Operator<T, T> {\n  constructor(private connectable: ConnectableObservable<T>) {\n  }\n  call(subscriber: Subscriber<T>, source: any): TeardownLogic {\n\n    const { connectable } = this;\n    (<any> connectable)._refCount++;\n\n    const refCounter = new RefCountSubscriber(subscriber, connectable);\n    const subscription = source.subscribe(refCounter);\n\n    if (!refCounter.closed) {\n      (<any> refCounter).connection = connectable.connect();\n    }\n\n    return subscription;\n  }\n}\n\nclass RefCountSubscriber<T> extends Subscriber<T> {\n\n  private connection: Subscription;\n\n  constructor(destination: Subscriber<T>,\n              private connectable: ConnectableObservable<T>) {\n    super(destination);\n  }\n\n  protected _unsubscribe() {\n\n    const { connectable } = this;\n    if (!connectable) {\n      this.connection = null;\n      return;\n    }\n\n    this.connectable = null;\n    const refCount = (<any> connectable)._refCount;\n    if (refCount <= 0) {\n      this.connection = null;\n      return;\n    }\n\n    (<any> connectable)._refCount = refCount - 1;\n    if (refCount > 1) {\n      this.connection = null;\n      return;\n    }\n\n    ///\n    // Compare the local RefCountSubscriber's connection Subscription to the\n    // connection Subscription on the shared ConnectableObservable. In cases\n    // where the ConnectableObservable source synchronously emits values, and\n    // the RefCountSubscriber's downstream Observers synchronously unsubscribe,\n    // execution continues to here before the RefCountOperator has a chance to\n    // supply the RefCountSubscriber with the shared connection Subscription.\n    // For example:\n    // ```\n    // range(0, 10).pipe(\n    //   publish(),\n    //   refCount(),\n    //   take(5),\n    // )\n    // .subscribe();\n    // ```\n    // In order to account for this case, RefCountSubscriber should only dispose\n    // the ConnectableObservable's shared connection Subscription if the\n    // connection Subscription exists, *and* either:\n    //   a. RefCountSubscriber doesn't have a reference to the shared connection\n    //      Subscription yet, or,\n    //   b. RefCountSubscriber's connection Subscription reference is identical\n    //      to the shared connection Subscription\n    ///\n    const { connection } = this;\n    const sharedConnection = (<any> connectable)._connection;\n    this.connection = null;\n\n    if (sharedConnection && (!connection || sharedConnection === connection)) {\n      sharedConnection.unsubscribe();\n    }\n  }\n}\n","<div class=\"editable-list__input-group\">\n    <mat-form-field>\n        <input \n            data-qa-dku-list-input\n            matInput\n            [matAutocomplete]=\"auto\"\n            [formControl]=\"inputControl\"\n            [type]=\"type\" \n            [name]=\"name\"\n            class=\"editable-list__input\"\n            placeholder=\"{{placeholder}}\" \n            autocomplete=\"{{autocomplete}}\"\n            (focus)=\"handleFocus($event)\" \n            (blur)=\"handleBlur()\" \n            [required]=\"required\"\n        >\n\n        <mat-autocomplete #auto=\"matAutocomplete\" [disableRipple]=\"true\">\n            <mat-option *ngFor=\"let suggestion of (suggestions || [])\" [value]=\"suggestion\" (onSelectionChange)=\"onSelectionChange($event)\" (click)=\"onSelectionClick($event)\">\n                {{ suggestion }}\n            </mat-option>\n        </mat-autocomplete>\n\n    </mat-form-field>\n    <div [hidden]=\"!warnValueIsTrimmable()\">\n        <div class=\"editable-list__input-warning-message\">Input starts or ends with one or more spaces.</div>\n    </div>\n\n    <div [hidden]=\"!(inputControl?.invalid && (inputControl?.dirty || inputControl?.touched))\">\n        <div class=\"editable-list__input-error-message\" [hidden]=\"!(inputControl?.errors && inputControl?.errors?.required)\">Please fill this field.</div>\n    </div>\n</div>\n","import { Component, Input, Output, HostListener, EventEmitter, ViewChild, OnDestroy, OnInit } from '@angular/core';\nimport { FormControl } from '@angular/forms';\nimport { MatAutocompleteTrigger, MatAutocomplete, AUTOCOMPLETE_PANEL_HEIGHT } from '@angular/material/autocomplete';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { debounceTime, distinctUntilChanged } from 'rxjs/operators';\nimport { MatOption, _countGroupLabelsBeforeOption, _getOptionScrollPosition, MatOptionSelectionChange } from '@angular/material/core';\n\n/**\n * Input meant to be used within an editable list.\n */\n@UntilDestroy()\n@Component({\n    selector: 'editable-list-input',\n    templateUrl: './editable-list-input.component.html',\n    styleUrls: ['./editable-list-input.component.less']\n})\nexport class EditableListInputComponent implements OnInit {\n    @Input() type: string = 'text';\n    @Input() inputControl: FormControl;\n    @Input() name: string;\n    @Input() placeholder: string;\n    // native browser autocomplete\n    @Input() autocomplete: string;\n    @Input() required: boolean = false;\n    @Input() warnIfTrimmable: boolean = false;\n    @Output() onFocus: EventEmitter<any> = new EventEmitter();\n    @Output() onBlur: EventEmitter<any> = new EventEmitter();\n    @Output() onEnter: EventEmitter<any> = new EventEmitter();\n    @Output() inputChange: EventEmitter<string> = new EventEmitter();\n    // suggestions for mat-autocomplete\n    @Input() suggestions?: string[];\n    @ViewChild(MatAutocomplete) matAutocompleteEl: MatAutocomplete;\n    @ViewChild(MatAutocompleteTrigger) matAutocompleteTrigger: MatAutocompleteTrigger;\n\n    // whether or not user selected item in autocomplete suggestion list\n    selectedAutocompleteItemViaEnter: boolean = false;\n\n    ngOnInit() {\n        this.inputControl.valueChanges\n            .pipe(\n                distinctUntilChanged()\n            )\n            .subscribe((entry: string) => this.inputChange.emit(entry));\n    }\n\n    ngAfterViewInit() {\n        this.fixAutocompleteScroll();\n    }\n\n    handleFocus($event: FocusEvent) {\n        this.onFocus.emit($event);\n    }\n\n    handleBlur() {\n        this.onBlur.emit();\n    }\n\n    /*\n        Whenever an autocomplete item is selected, set\n        flag to true. If item was selected via click,\n        it will be reset (see onSelectionClick).\n\n        This flag is used to prevent the editable list from\n        creating a new entry after selecting a suggestion.\n    */\n    onSelectionChange(event: MatOptionSelectionChange) {\n        this.selectedAutocompleteItemViaEnter = true;\n    }\n\n    /*\n        Fires after onSelectionChange.\n        If selected autocomplete item was not done via enter key,\n        reset flag.\n    */\n    onSelectionClick(event: any) {\n        this.selectedAutocompleteItemViaEnter = false;\n    }\n\n    @HostListener('keydown.enter', ['$event'])\n    handleEnter(event: KeyboardEvent) {\n        if (!this.selectedAutocompleteItemViaEnter) {\n            this.onEnter.emit(event);\n        }\n\n        this.matAutocompleteTrigger.closePanel();\n        this.selectedAutocompleteItemViaEnter = false;\n    }\n\n    /*\n        https://github.com/angular/components/issues/3419\n\n        When using the up/down arrows to scroll through a select or autocomplete\n        list with custom height mat-option elements, the selected item becomes\n        out of sync because the mat-option height is hard coded in the\n        autocomplete code.\n\n        This workaround recalculates the scroll amount using the actual height\n        of mat-option.\n    */\n    fixAutocompleteScroll() {\n        this.matAutocompleteTrigger['_scrollToOption'] = () => {\n            const optionHeight = this.matAutocompleteEl.options.first._getHostElement().clientHeight;\n            const index: number = this.matAutocompleteEl['_keyManager'].activeItemIndex || 0;\n            const labelCount = _countGroupLabelsBeforeOption(index, this.matAutocompleteEl.options, this.matAutocompleteEl.optionGroups);\n            const newScrollPosition = _getOptionScrollPosition(index + labelCount, optionHeight, this.matAutocompleteEl._getScrollTop(), AUTOCOMPLETE_PANEL_HEIGHT);\n\n            this.matAutocompleteEl._setScrollTop(newScrollPosition);\n        };\n    }\n\n    warnValueIsTrimmable() {\n        return this.warnIfTrimmable && (this.inputControl.value || \"\").trim() !== (this.inputControl.value || \"\");\n    }\n}\n","import { FormArray, AbstractControl, ValidatorFn, AsyncValidatorFn, AbstractControlOptions } from \"@angular/forms\";\n\n// Extension of FormArray that manages the list of controls automatically from values\n// Controls are created on-demand from a factory, whereas you need to sync\n// values & controls manually with FormArray\nexport class FormArrayRepeat extends FormArray {\n    constructor(\n        private controlFactory: () => AbstractControl,\n        validatorOrOpts?: ValidatorFn | ValidatorFn[] | AbstractControlOptions | null,\n        asyncValidator?: AsyncValidatorFn | AsyncValidatorFn[] | null) {\n        super([], validatorOrOpts, asyncValidator);\n    }\n\n    // Add a new control at the end (shortcut)\n    add() {\n        this.push(this.controlFactory());\n    }\n\n    // Override Angular's method\n    patchValue(value: any[], options: { onlySelf?: boolean, emitEvent?: boolean } = {}): void {\n        this.updateControls(value);\n        super.patchValue(value, options);\n    }\n\n    // Override Angular's method\n    setValue(value: any[], options: { onlySelf?: boolean, emitEvent?: boolean } = {}): void {\n        this.updateControls(value);\n        super.setValue(value, options);\n    }\n\n    // Override Angular's method\n    reset(value: any = [], options: { onlySelf?: boolean, emitEvent?: boolean } = {}): void {\n        this.updateControls(value);\n        super.reset(value, options);\n    }\n\n    private updateControls(value: any) {\n        if (!value) {\n            value = [];\n        }\n        const expectedNbControls = value.length;\n        while (this.controls.length > expectedNbControls) {\n            this.removeAt(this.controls.length - 1);\n        }\n        while (this.controls.length < expectedNbControls) {\n            this.push(this.controlFactory());\n        }\n    }\n}\n","<div class=\"modal-header {{modalClass}}\" [ngClass]=\"{'has-border': hasBorder }\">\n    <div class=\"modal-totem\" *ngIf=\"icon?.length\" (click)=\"iconAction.emit()\" [ngClass]=\"{ 'modal-totem--action': iconHasAction }\">\n        <i class=\"{{icon}}\"></i>\n    </div>\n    <a class=\"modal-header-button\"\n        (click)=\"dialogRef.close()\"\n        aria-hidden=\"true\"\n        >\n        &times;\n    </a>\n    <a class=\"modal-header-button see-through-button\"\n        aria-hidden=\"true\"\n        (mouseenter)=\"setSeeThrough(true)\"\n        (mouseleave)=\"setSeeThrough(false)\"\n        >\n        &minus;\n    </a>\n    <h4 class=\"modal-title\" [ngClass]=\"{'has-icon': icon?.length}\" [title]=\"title\">\n        {{title}}\n    </h4>\n</div>\n","import { Component, Input, EventEmitter, Output, OnInit } from '@angular/core';\nimport { MatDialogRef } from '@angular/material/dialog';\nimport { fairAny } from 'dku-frontend-core';\n\ndeclare let $: fairAny;\n\n@Component({\n    selector: 'modal-header',\n    templateUrl: './modal-header.component.html',\n    styleUrls: ['./modal-header.component.less']\n})\nexport class ModalHeaderComponent implements OnInit {\n    @Input() title: string;\n    @Input() modalClass: string;\n    @Input() icon: string;\n    @Input() hasBorder = true;\n    @Output() iconAction = new EventEmitter<any>();\n\n    iconHasAction = false;\n\n    constructor(\n        public dialogRef: MatDialogRef<any>\n    ) {\n        this.dialogRef.backdropClick().subscribe(() => {\n            this.dialogRef.close();\n        });\n    }\n\n    ngOnInit() {\n        this.iconHasAction = this.iconAction.observers.length > 0;\n    }\n\n    setSeeThrough(seeThrough: boolean) {\n        const elts = $('.cdk-overlay-container, div.popover');\n        if (seeThrough) {\n            elts.addClass('see-through');\n        } else {\n            elts.removeClass('see-through');\n        }\n    }\n\n}\n","<div>\n    <modal-header [title]=\"data.title\" [icon]=\"data.icon\"></modal-header>\n    <div class=\"modal-body flex\">\n        {{data.message}}\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\" *ngIf=\"!data.danger\">\n            <button type=\"button\" class=\"btn btn-default\" (click)=\"cancel()\">{{ data.cancel || 'Cancel' }}</button>\n            <button type=\"button\" class=\"btn btn-primary\" (click)=\"confirm()\" autofocus>{{ data.confirm || 'Confirm' }}</button>\n        </div>\n        <div class=\"pull-right\" *ngIf=\"data.danger\">\n            <!-- Dangerous modals don't validate on enter-->\n            <button type=\"button\" class=\"btn btn-default\" (click)=\"cancel()\" tabindex=\"-1\">{{ data.cancel || 'Cancel' }}</button>\n            <button type=\"button\" class=\"btn btn-danger\" (click)=\"confirm()\" tabindex=\"-1\">{{ data.confirm || 'Confirm' }}</button>\n        </div>\n    </div>\n</div>\n","import { Component, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { realAny } from 'dku-frontend-core';\n\n@Component({\n    selector: 'confirm-modal',\n    templateUrl: './confirm-modal.component.html',\n    styleUrls: ['./confirm-modal.component.less']\n})\nexport class ConfirmModalComponent {\n\n    constructor(\n        public dialogRef: MatDialogRef<realAny, boolean>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            title: string,\n            message: string,\n            danger: boolean,\n            icon?: string,\n            confirm?: string,\n            cancel?: string,\n        }\n    ) { }\n\n    confirm() {\n        this.dialogRef.close(true);\n    }\n\n    cancel() {\n        this.dialogRef.close(false);\n    }\n\n}\n","import { Component, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { realAny } from 'dku-frontend-core';\n\n@Component({\n  selector: 'ack-modal',\n  templateUrl: './ack-modal.component.html',\n  styleUrls: ['./ack-modal.component.less']\n})\nexport class AckModalComponent {\n\n    constructor(\n        public dialogRef: MatDialogRef<realAny, boolean>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            title: string,\n            message: string,\n            icon?: string\n        }\n    ) { }\n\n    ack() {\n        this.dialogRef.close(); //WARNING: You are not allowed to modify this class and use a value for resolution\n    }\n}\n","<div>\n    <modal-header [title]=\"data.title\" [icon]=\"data.icon\"></modal-header>\n    <div class=\"modal-body flex\">\n        {{data.message}}\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\" class=\"btn btn-primary\" (click)=\"ack();\" autofocus>Ok</button>\n        </div>\n    </div>\n</div>\n","<div>\n    <modal-header [title]=\"data.title\" [icon]=\"data.icon\"></modal-header>\n    <div class=\"modal-body flex dkuform-horizontal\">\n        <div class=\"control-group\">\n            <label for=\"value\" class=\"control-label\">{{data.message}}</label>\n            <div class=\"controls\">\n                <input id=\"value\" type=\"text\" [(ngModel)]=\"value\" name=\"value\"/>\n            </div>\n        </div>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\" *ngIf=\"!data.danger\">\n            <button type=\"button\" class=\"btn btn-default\" (click)=\"cancel();\">Cancel</button>\n            <button type=\"button\" class=\"btn btn-primary\" (click)=\"confirm();\"  [disabled]=\"value === ''\" autofocus>Ok</button>\n        </div>\n        <div class=\"pull-right\" *ngIf=\"data.danger\">\n            <!-- Dangerous modals don't validate on enter-->\n            <button type=\"button\" class=\"btn btn-default\" (click)=\"cancel();\" tabindex=\"-1\">Cancel</button>\n            <button type=\"button\" class=\"btn btn-danger\" (click)=\"confirm();\" tabindex=\"-1\" [disabled]=\"value === ''\">Ok</button>\n        </div>\n    </div>\n</div>\n","import { Component, Inject, OnInit } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { realAny } from 'dku-frontend-core';\n\n@Component({\n    selector: 'prompt-modal',\n    templateUrl: './prompt-modal.component.html',\n    styleUrls: ['./prompt-modal.component.less']\n})\nexport class PromptModalComponent implements OnInit {\n    value: string;\n\n    constructor(\n        public dialogRef: MatDialogRef<realAny, string>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            title: string,\n            message: string,\n            defaultVal: string,\n            danger?: boolean\n            icon?: string\n        }\n    ) {\n        this.value = this.data.defaultVal;\n    }\n\n    confirm() {\n        this.dialogRef.close(this.value);\n    }\n\n    cancel() {\n        this.dialogRef.close(undefined);\n    }\n\n    ngOnInit(): void {\n    }\n}\n","<div>\n    \n    <modal-header [title]=\"data.title\" [icon]=\"data.icon\"></modal-header>\n    \n    <div class=\"modal-body\">\n        <p *ngIf=\"data.message\" [innerHtml]=\"data.message\"></p>\n        <div class=\"selectable-items-list\">\n            <div *ngFor=\"let item of data.items\" class=\"selectable-item selectable\" [class.selected]=\"item === selectedItem\" (click)=\"selectItem(item)\">\n                <div class=\"selection-indicator\">\n                    <i class=\"icon-ok\" title=\"active\" *ngIf=\"item === selectedItem\"></i>\n                </div>\n                <p style=\"margin: 0px 10px 0px 10px\" class=\"ng-binding\">\n                    <strong class=\"ng-binding\">{{item.title}} {{item.desc ? \"&ndash;\": \"\"}} </strong>\n                    {{item.desc}}\n                </p>\n            </div>\n        </div>\n    </div>\n    \n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\" class=\"btn btn-primary\" (click)=\"confirm()\" autofocus>Ok</button>\n        </div>\n    </div>\n    \n</div>\n","import { Component, Inject, OnInit } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { realAny } from 'dku-frontend-core';\n\n@Component({\n  selector: 'select-modal',\n  templateUrl: './select-modal.component.html',\n  styleUrls: ['./select-modal.component.less']\n})\nexport class SelectModalComponent implements OnInit {\n    selectedItem: any;\n\n    constructor(\n        public dialogRef: MatDialogRef<realAny, string>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            title: string,\n            message: string,\n            icon?: string,\n            items: any[],\n            defaultItem: any,\n        }\n    ) {\n        this.selectedItem = this.data.defaultItem;\n    }\n\n    ngOnInit(): void {\n    }\n\n    selectItem(item: any) {\n        this.selectedItem = item;\n    }\n\n    confirm() {\n        this.dialogRef.close(this.selectedItem);\n    }\n\n    cancel() {\n        this.dialogRef.close();\n    }\n}\n","import { ChangeDetectorRef, Injectable, ViewContainerRef } from '@angular/core';\nimport { MatDialog, MatDialogConfig, MatDialogRef } from '@angular/material/dialog';\nimport { realAny, fairAny } from 'dku-frontend-core';\n\ndeclare let $: fairAny;\n\nexport enum ModalShape {\n    NARROW = 'dku-modal-panel-narrow',\n    WIDE = 'dku-modal-panel-wide',\n    FULL = 'dku-modal-panel-full',\n    NONE = 'dku-modal-panel-none'\n}\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class ModalsService {\n    /*\n    We use modals provided by material design,\n    it handle the creation of the DOM objects, close on escape or outside of modal\n    it keeps track of open modals to clear them so that they cannot persist after a transition\n    */\n    constructor(private dialogs: MatDialog) {\n    }\n\n    open(component: any, data?: object, modalShape = ModalShape.NARROW, parent?: ViewContainerRef, options?: MatDialogConfig) {\n        const config = this.getBaseConfig(modalShape, parent, options);\n        config.data = data;\n        const dialogRef = this.dialogs.open(component, config);\n\n        // This is required in some cases where the change detection does not\n        // happen after the component is rendered for the first time, like\n        // CardPreviewModalComponent.\n        const changeDetectorRef = parent?.injector.get(ChangeDetectorRef, null);\n        changeDetectorRef?.markForCheck();\n\n        this.setupFocus(dialogRef);\n        return new Promise<any>((resolve, reject) => {\n            return dialogRef.afterClosed().subscribe((answer) => {\n                if (answer) {\n                    resolve(answer);\n                } else {\n                    reject();\n                }\n            });\n        });\n    }\n\n    private setupFocus(dialogRef: MatDialogRef<realAny>) {\n        dialogRef.afterOpened().subscribe(() => {\n            const container = $('.mat-dialog-container');\n            if (container.find('[autofocus]').length) {\n                setTimeout(() => container.find('[autofocus]').first().focus(), 0);\n            } else if (container.find('input').length) {\n                setTimeout(() => container.find('input').first().focus(), 0);\n            }\n            //TODO prevent enter key action on all btn-danger\n        });\n    }\n\n    private getBaseConfig(modalShape: ModalShape, parent?: ViewContainerRef, options: MatDialogConfig = {}) {\n        const baseConfig = new MatDialogConfig();\n        baseConfig.closeOnNavigation = true;\n        baseConfig.panelClass = modalShape;\n        baseConfig.viewContainerRef = parent;\n        Object.assign(baseConfig, options);\n\n        return baseConfig;\n    }\n\n}","import { Injectable } from '@angular/core';\nimport { ModalsService } from '@shared/modals/modals.service';\nimport { ConfirmModalComponent } from '@shared/modals/confirm-modal/confirm-modal.component';\nimport { AckModalComponent } from '@shared/modals/ack-modal/ack-modal.component';\nimport { PromptModalComponent } from '@shared/modals/prompt-modal/prompt-modal.component';\nimport { SelectModalComponent } from '@shared/modals/select-modal/select-modal.component';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class PromptService {\n\n    constructor(\n        private modalsService: ModalsService,\n    ) {\n    }\n\n    confirm(title: string, message: string, danger = true): Promise<any> {\n        return this.modalsService.open(ConfirmModalComponent, {title, message, danger});\n    }\n\n    ack(title: string, message: string): Promise<undefined> {\n        return this.modalsService.open(AckModalComponent, {title, message});\n    }\n\n    prompt(title: string, message: string, defaultVal: string): Promise<string> {\n        return this.modalsService.open(PromptModalComponent, {title, message, defaultVal});\n    }\n\n    select(title: string, message: string, items: any[], defaultItem?: any): Promise<string> {\n        return this.modalsService.open(SelectModalComponent, {title, message, items, defaultItem});\n    }\n}\n","<div class=\"editable-list\" [class.editable-list--full-width]=\"fullWidthList\">\n    <!-- Main block -->\n    <ul *ngIf=\"!sortable\" class=\"editable-list__items\">\n        <li #itemLi *ngFor=\"let item of itemsControls; let index = index;\" class=\"common-styles-only editable-list__item\" [class.editable-list__item--divider]=\"hasDivider\">\n            <ng-container *ngTemplateOutlet=\"itemTemplate, context: { item: item, index: index }\"></ng-container>\n        </li>\n    </ul>\n\n    <!-- Main block when drag and drop is enabled -->\n    <ul *ngIf=\"sortable\" class=\"editable-list__items\" cdkDropList (cdkDropListDropped)=\"drop($event)\">\n        <li #itemLi *ngFor=\"let item of itemsControls; let index = index;\" class=\"common-styles-only editable-list__item\"  [class.editable-list__item--divider]=\"hasDivider\" cdkDrag>\n            <editable-list-drag cdkDragHandle data-qa-editable-list-drag></editable-list-drag>\n            <ng-container *ngTemplateOutlet=\"itemTemplate, context: { item: item, index: index }\"></ng-container>\n        </li>\n    </ul>\n\n    <!-- Add button footer -->\n    <div class=\"editable-list__add\" *ngIf=\"!disableAdd\">\n        <button type=\"button\" data-qa-add-button class=\"btn btn--primary btn--text editable-list__add-label\" (click)=\"add()\">\n            <i class=\"icon-plus\"></i>{{addLabel}}\n        </button>\n    </div>\n</div>\n\n<!-- Row template -->\n<ng-template #itemTemplate let-item=\"item\" let-index=\"index\">\n    <!-- Default Template -->\n    <editable-list-template *ngIf=\"!template\">\n        {{item?.get(\"item\").value}} at index {{ index }}\n    </editable-list-template>\n\n    <!-- Custom Template -->\n    <ng-container *ngIf=\"template\">\n        <ng-container *ngTemplateOutlet=\"template, context: { item: item, index: index, goToNext: enter(index) }\"></ng-container>\n    </ng-container>\n\n    <editable-list-delete (onDelete)=\"delete($event, index)\"></editable-list-delete>\n</ng-template>\n","import { AfterViewInit, Component, ContentChild, ContentChildren, ElementRef, EventEmitter, Input, Output, QueryList, TemplateRef, ViewChildren, ChangeDetectorRef, forwardRef, OnDestroy, Directive, OnInit } from '@angular/core';\nimport { CdkDragDrop, moveItemInArray } from '@angular/cdk/drag-drop';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { NG_VALUE_ACCESSOR, ControlValueAccessor, FormArray, FormBuilder } from '@angular/forms';\nimport { Observable, merge } from 'rxjs';\nimport { startWith, switchMap } from 'rxjs/operators';\nimport _ from 'lodash';\nimport { EditableListInputComponent } from '../editable-list-input/editable-list-input.component';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { PromptService } from '@shared/modals/prompt.service';\n\n/**\n * Drag icon of an editable list. Can be used alone.\n */\n@Component({\n    selector: 'editable-list-drag',\n    template: '<i class=\"editable-list__drag-icon icon-reorder\"></i>',\n    styleUrls: ['./editable-list.component.less']\n})\nexport class EditableListDragComponent { }\n\n/**\n * Arrow icon of an editable list. Can be used alone.\n */\n@Component({\n    selector: 'editable-list-arrow',\n    template: '<i class=\"editable-list__arrow-icon icon-long-arrow-right\"></i>',\n    styleUrls: ['./editable-list.component.less']\n})\nexport class EditableListArrowComponent { }\n\n/**\n * Delete icon of an editable list. Can be used alone.\n */\n@Component({\n    selector: 'editable-list-delete',\n    template: `<button type=\"button\" class=\"btn btn--text btn--danger btn-icon editable-list__delete\" (click)=\"onDelete.emit($event)\" tabindex=\"-1\" data-qa-editable-list-delete>\n        <i class=\"icon-trash editable-list__delete\"></i>\n    </button>`,\n    styleUrls: ['./editable-list.component.less']\n})\nexport class EditableListDeleteComponent {\n    @Output() onDelete: EventEmitter<any> = new EventEmitter();\n}\n\n/**\n * Template meant to be used in an editable list between the sort icon (if sortable) and the trash icon.\n * It adds styles for edition mode.\n */\n@UntilDestroy()\n@Component({\n    selector: 'editable-list-template',\n    template: '<ng-content></ng-content>',\n    styleUrls: ['./editable-list.component.less'],\n    host: {\n        '[class.editable-list__template]': 'true',\n        '[class.editable-list__template--editing]': 'editing'\n    }\n})\nexport class EditableListTemplateComponent implements AfterViewInit, OnDestroy {\n    editing: boolean = false;\n    @Output() onInputEnter: EventEmitter<any> = new EventEmitter();\n    @ContentChildren(EditableListInputComponent) inputs: QueryList<EditableListInputComponent>;\n\n    ngAfterViewInit() {\n        const inputs$: Observable<QueryList<EditableListInputComponent>> = this.inputs.changes.pipe(startWith(this.inputs));\n\n        inputs$.pipe(\n            switchMap(inputs => merge(...inputs.map(input => input.onFocus))),\n            untilDestroyed(this)\n        ).subscribe(() => this.setEditionMode(true));\n\n        inputs$.pipe(\n            switchMap(inputs => merge(...inputs.map(input => input.onBlur))),\n            untilDestroyed(this)\n        ).subscribe(() => this.setEditionMode(false));\n\n        inputs$.pipe(\n            switchMap(inputs => merge(...inputs.map(input => input.onEnter))),\n            untilDestroyed(this)\n        ).subscribe((event: any) => this.handleEnter(event));\n    }\n\n    handleEnter(event: Event) {\n        this.onInputEnter.emit(event);\n    }\n\n    setEditionMode(editing: boolean) {\n        this.editing = editing;\n    }\n\n    ngOnDestroy(): void { }\n}\n\n/**\n * Most generic code to be inherited by any list with editable capabilities.\n */\n@UntilDestroy()\n@Directive()\nexport class EditableListBase implements ControlValueAccessor {\n    items: Array<any> = [];\n    itemsFormArray: FormArrayRepeat;\n\n    @Input() addLabel: string = 'Add';\n    @Input() sortable: boolean = false;\n    @Input() hasDivider: boolean = true;\n    @Input() focusOnEnter: boolean = true;\n    @Input() fullWidthList: boolean = false;\n    @Input() disableAdd: boolean = false;\n    @Output() onAdd = new EventEmitter<number>();\n    @Output() onDelete = new EventEmitter<number>();\n    @Output() onValidityChange = new EventEmitter<boolean>(true);\n    @Output() onFocus = new EventEmitter<any>();\n    @Output() onBlur = new EventEmitter<any>();\n    @Output() onReorder = new EventEmitter<any>();\n\n    onChange: Function = () => { };\n\n    onTouched: Function = () => { };\n\n    writeValue(obj: any): void {\n        this.items = _.cloneDeep(obj) || [];\n        if (this.items && this.items.length) {\n            this.itemsFormArray && this.itemsFormArray.setValue(this.items);\n        }\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n\n    registerOnTouched(fn: any): void {\n        this.onTouched = fn;\n    }\n}\n\n/**\n * A basic list that enables sort, add and remove capabilities on a list of FormArrayRepeat items.\n * It uses common lists styles and helpers through:\n *\n * - editable-list-drag\n * - editable-list-arrow\n * - editable-list-delete\n * - editable-list-input\n * - editable-list-template\n *\n * It is meant to be used with a template which is provided with:\n * - item           an instance of the given itemsFormArray.\n * - index          its index.\n * - goToNext       a method that allows to focus the next row (or add it if none).\n\n * @example\n  <editable-list [itemsFormArray]=\"attendeesFormArray\" addLabel=\"Add Attendee\" sortable=\"true\" (itemsChange)=\"handleChange($event)\" (onAdd)=\"handleAdd($event)\" (onDelete)=\"handleDelete($event)\">\n      <ng-template let-item=\"item\" let-goToNext=\"goToNext\">\n          <editable-list-template (onInputEnter)=\"goToNext()\">\n              <editable-list-input ngDefaultControl [inputControl]=\"item?.get('firstName')\" placeholder=\"Attendee first name\"></editable-list-input>\n              <editable-list-input ngDefaultControl [inputControl]=\"item?.get('lastName')\" placeholder=\"Attendee last name\"></editable-list-input>\n              <input type=\"checkbox\" [formControl]=\"item?.get('wantGoodies')\"/> Want goodies\n          </editable-list-template>\n      </ng-template>\n  </editable-list>\n *\n * If you have the matching specific use cases, you probably want to use pre-templated components like key-values-list, values-list, credentials-list or connection-properties-list.\n * If you have a new use case, you can take inspiration from these lists.\n */\n@Component({\n    selector: 'editable-list',\n    templateUrl: './editable-list.component.html',\n    styleUrls: ['./editable-list.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => EditableListComponent),\n            multi: true\n        }\n    ]\n})\nexport class EditableListComponent extends EditableListBase implements OnDestroy, OnInit {\n    @ContentChild(TemplateRef, { static: false }) template: TemplateRef<any>;\n    @ViewChildren('itemLi') itemsLis: QueryList<ElementRef>;\n    @Input() confirmDeletion: boolean = false;\n    @Input() itemsFormArray: FormArrayRepeat = new FormArrayRepeat(() => {\n        return this.formBuilder.group({\n            item: this.formBuilder.control('Template item value', [])\n        });\n    });\n    @Output() itemsChange = new EventEmitter<Array<Object>>();\n    formBuilder: FormBuilder;\n\n    constructor(private changeDetectorRef: ChangeDetectorRef, fb: FormBuilder, private promptService: PromptService) {\n        super();\n        this.formBuilder = fb;\n    }\n\n    ngOnInit(): void {\n        // Subscribe to any changes on the form\n        this.itemsFormArray.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                this.handleChange(formValue);\n            });\n\n        // Subscribe to form validity changes\n        this.itemsFormArray.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => { this.onValidityChange.emit(this.itemsFormArray.valid); });\n    }\n\n    ngOnDestroy(): void { }\n\n    get itemsControls() { return (this.itemsFormArray as FormArray).controls; }\n    get itemsArray() { return this.itemsFormArray.value; }\n\n    /** Add item and triggers onAdd event */\n    add() {\n        this.itemsFormArray.add();\n        this.handleAdd(this.itemsFormArray.length - 1);\n        // Focus newly added item\n        window.setTimeout(() => {\n            this.focus(this.itemsLis.length - 1);\n        }, 100);\n    }\n\n    realDelete(index: number) {\n        this.itemsFormArray.removeAt(index);\n        this.handleDelete(index);\n    }\n\n    /** Delete item at given index and triggers onDelete event */\n    delete(event: Event, index: number) {\n        event.stopPropagation();\n        if(!this.confirmDeletion) {\n            this.realDelete(index);\n        } else {\n            this.promptService.confirm(\"Confirm deletion\", \"Are you sure you want to remove this item?\")\n                .then(res => {\n                    if (res) {\n                        this.realDelete(index);\n                    }\n                }).catch(() => { }); // silently ignoring the error raised when we cancel the deletion\n        }\n    }\n\n    drop(event: CdkDragDrop<string[]>) {\n        moveItemInArray(this.itemsArray, event.previousIndex, event.currentIndex);\n        this.itemsFormArray.setValue(this.itemsArray);\n        this.onReorder.emit(event);\n    }\n\n    /** Focus the first input found at the given item index. */\n    focus(index: number) {\n        const itemLi = this.itemsLis && this.itemsLis.toArray()[index];\n        const itemLiFirstInput = itemLi && itemLi.nativeElement.querySelector('input[type=\"text\"]');\n        itemLiFirstInput && itemLiFirstInput.focus();\n    }\n\n    /** Focus next item or create one if none. Meant to be used from components within the template. */\n    enter(index: number) {\n        return (event: Event) => {\n            if (!this.focusOnEnter) {\n                return;\n            }\n\n            event.stopPropagation();\n\n            if (index < this.itemsArray.length - 1) {\n                this.focus(index + 1);\n            } else {\n                this.add();\n            }\n        }\n    }\n\n    // EVENTS HANDLERS\n\n    /* Triggered when the list has changed in length either through removal or addition or when the template requires it.\n     * Provides the list of current items. */\n    handleChange(items: Array<Object>) {\n        this.itemsChange.emit(items);\n    }\n\n    /** Triggered when an item is added. Provides the item index. */\n    handleAdd(index: number) {\n        this.onAdd.emit(index);\n    }\n\n    /** Triggered when an item is deleted. Provides the item index. */\n    handleDelete(index: number) {\n        this.onDelete.emit(index);\n    }\n}\n","import { FormGroup } from '@angular/forms';\n\n// Extension of FormGroup that allows having extra properties.\n// This overrides private methods of Angular code and thus may break unexpectedly in a future release.\nexport class TolerantFormGroup extends FormGroup {\n    originalValue: { [key: string]: any } = [];\n\n    setValue(value: { [key: string]: any }, options: { onlySelf?: boolean, emitEvent?: boolean } = {}): void {\n        Object.keys(value).forEach(name => {\n            if (this.controls[name]) {\n                this.controls[name].setValue(value[name], { onlySelf: true, emitEvent: options.emitEvent });\n            }\n        });\n\n        this.originalValue = value;\n\n        this.updateValueAndValidity(options);\n    }\n    \n    _updateValue(): void {\n        const reducedValue = (this as any)._reduceValue();\n        (this as { value: any }).value = { ...this.originalValue, ...reducedValue };\n    }\n}\n","<editable-list \n    [itemsFormArray]=\"itemsFormArray\"\n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\"\n    (onAdd)=\"onAdd.emit($event)\" \n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n    <ng-template let-item=\"item\" let-goToNext=\"goToNext\">\n        <editable-list-template (onInputEnter)=\"goToNext($event)\">  \n            <editable-list-input \n                [inputControl]=\"item?.get(keyIdentifier)\"\n                placeholder=\"{{keyPlaceholder}}\"\n                autocomplete=\"off\"\n                name=\"credentials-name\"\n                [required]=\"keyRequired\"\n                [warnIfTrimmable]=\"warnIfTrimmable\">\n            </editable-list-input>\n            <editable-list-arrow></editable-list-arrow>\n            <editable-list-input\n                type=\"{{item?.get('secret').value ? 'password' : 'text'}}\"\n                [inputControl]=\"item?.get(valueIdentifier)\"\n                placeholder=\"{{valuePlaceholder}}\"\n                name=\"credentials-value\"\n                autocomplete=\"off\"\n                [required]=\"valueRequired\"\n                [warnIfTrimmable]=\"warnIfTrimmable\">\n            </editable-list-input>\n            <div class=\"credentials-list__checkbox\">\n                <input\n                    #secret\n                    [formControl]=\"item?.get('secret')\"\n                    type=\"checkbox\"\n                    class=\"credentials-list__checkbox-input\" />\n                <label class=\"credentials-list__checkbox-label\" (click)=\"secret.click()\">\n                    Secret\n                </label>\n            </div>\n            <div class=\"credentials-list__checkbox\" *ngIf=\"canBeFinal\">\n                <input\n                    #final\n                    [formControl]=\"item?.get('isFinal')\"\n                    type=\"checkbox\"\n                    class=\"credentials-list__checkbox-input\" />\n                <label class=\"credentials-list__checkbox-label\" (click)=\"final.click()\">\n                    Final\n                </label>\n            </div>\n        </editable-list-template>\n    </ng-template>\n</editable-list>\n","import { Component, Input, forwardRef, OnDestroy } from '@angular/core';\nimport { NG_VALUE_ACCESSOR, FormBuilder, Validators, FormGroup } from '@angular/forms';\nimport { EditableListBase } from '../editable-list/editable-list.component';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { Subscription } from 'rxjs';\nimport { TolerantFormGroup } from '@utils/tolerant-form-group';\n\n@UntilDestroy()\n@Component({\n    selector: 'credentials-list',\n    templateUrl: './credentials-list.component.html',\n    styleUrls: ['./credentials-list.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => CredentialsListComponent),\n            multi: true\n        }\n    ]\n})\n\n/**\n * Editable list of credentials.\n * Uses editable-list-component with a dedicated template.\n * \n * @example\n * <credentials-list-component [(ngModel)]=\"credentials\"></credentials-list-component>\n */\nexport class CredentialsListComponent extends EditableListBase implements OnDestroy {\n    @Input() addLabel: string = 'Add Credentials';\n    @Input() keyPlaceholder: string = 'User Name';\n    @Input() valuePlaceholder: string = 'User Password';\n    @Input() keyIdentifier: string = 'key';\n    @Input() valueIdentifier: string = 'value';\n    @Input() canBeFinal: boolean = true;\n    @Input() keyRequired: boolean = false;\n    @Input() valueRequired: boolean = false;\n    @Input() required: boolean = false;\n    @Input() warnIfTrimmable: boolean = false;\n    formBuilder: FormBuilder;\n    private changesSubscription: Subscription;\n\n    constructor(fb: FormBuilder) {\n        super();\n        this.formBuilder = fb;\n    }\n\n    ngOnChanges() {\n        let keyValidators: any[] = [];\n        let valueValidators: any[] = [];\n\n        if (this.required) {\n            this.keyRequired = true;\n            this.valueRequired = true;\n        }\n\n        if (this.keyRequired) {\n            keyValidators.push(Validators.required);\n        }\n\n        if (this.valueRequired) {\n            valueValidators.push(Validators.required);\n        }\n\n        this.itemsFormArray = new FormArrayRepeat(() => {\n            const itemsControls = {\n                [this.keyIdentifier]: this.formBuilder.control('', keyValidators),\n                [this.valueIdentifier]: this.formBuilder.control('', valueValidators),\n                secret: this.formBuilder.control(false, [])\n            }\n    \n            if (this.canBeFinal) {\n                itemsControls.isFinal = this.formBuilder.control(false, []);\n            }\n\n            return new TolerantFormGroup(itemsControls);\n        });\n\n        if (this.items && this.items.length) {\n            this.itemsFormArray.setValue(this.items);\n        }\n\n        if (this.changesSubscription) {\n            this.changesSubscription.unsubscribe();\n        }\n\n        this.changesSubscription = this.itemsFormArray.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((event) => { this.onChange(event); });\n    }\n\n    ngOnDestroy(): void { }\n}\n","import { Component, Input, Output, EventEmitter, Inject } from '@angular/core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'downgraded-credentials-list',\n    templateUrl: './downgraded-credentials-list.component.html',\n})\n\n/**\n * Bridge between Angular and AngularJS to use credentials lists in the later.\n * Simply provides proper inputs and outputs, adapts ControlValueAccessor structure and propagates changes.\n * \n * @example\n * // In AngularJS code\n * <ng2-credentials-list [(items)]=\"items\"></ng2-credentials-list>\n */\nexport class DowngradedCredentialsListComponent {\n    @Input() items: Array<Object>;\n    @Input() sortable: boolean;\n    @Output() onAdd = new EventEmitter<number>();\n    @Output() onDelete = new EventEmitter<number>();\n    @Output() onChange = new EventEmitter<Array<Object>>();\n    @Output() itemsChange = new EventEmitter<Array<Object>>();\n    @Output() onValidityChange = new EventEmitter<boolean>();\n    @Input() addLabel: string = 'Add Credentials';\n    @Input() hasDivider: boolean = true;\n    @Input() focusOnEnter: boolean = true;\n    @Input() keyPlaceholder: string = 'User Name';\n    @Input() valuePlaceholder: string = 'User Password';\n    @Input() keyIdentifier: string = 'key';\n    @Input() valueIdentifier: string = 'value';\n    @Input() keyRequired: boolean = false;\n    @Input() valueRequired: boolean = false;\n    @Input() required: boolean = false;\n    @Input() canBeFinal: boolean = true;\n    @Input() warnIfTrimmable: boolean = false;\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) { \n        this.onValidityChange.subscribe(() => $rootScope.$applyAsync());\n    }\n\n    handleChange(items: Array<Object>) {\n        this.$rootScope.$applyAsync();\n        this.itemsChange.emit(items);\n        this.onChange.emit(items);\n    }\n}\n","<credentials-list \n    [ngModel]=\"items\" \n    (ngModelChange)=\"handleChange($event)\"\n    [keyPlaceholder]=\"keyPlaceholder\"\n    [valuePlaceholder]=\"valuePlaceholder\"\n    [keyIdentifier]=\"keyIdentifier\"\n    [valueIdentifier]=\"valueIdentifier\"\n    [keyRequired]=\"keyRequired\"\n    [valueRequired]=\"valueRequired\"\n    [required]=\"required\"\n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\" \n    [hasDivider]=\"hasDivider\" \n    [focusOnEnter]=\"focusOnEnter\" \n    [canBeFinal]=\"canBeFinal\"\n    [warnIfTrimmable]=\"warnIfTrimmable\"\n    (onAdd)=\"onAdd.emit($event)\"\n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n</credentials-list>\n","<editable-list \n    [itemsFormArray]=\"itemsFormArray\"\n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\"\n    [focusOnEnter]=\"focusOnEnter\"\n    [fullWidthList]=\"fullWidthList\"\n    [disableAdd]=\"disableAdd\"\n    (onAdd)=\"onAdd.emit($event)\" \n    (onDelete)=\"onDelete.emit($event)\"\n    (onReorder)=\"onReorder.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n    <ng-template let-item=\"item\" let-goToNext=\"goToNext\">\n        <editable-list-template (onInputEnter)=\"goToNext($event)\">\n            <editable-list-input \n                [inputControl]=\"item?.get(inputKey)\"\n                (inputChange)=\"updateSuggestions($event)\"\n                [suggestions]=\"filteredSuggestions\"\n                autocomplete=\"{{autocomplete}}\"\n                placeholder=\"{{valuePlaceholder}}\"\n                [required]=\"required\"\n                (onFocus)=\"handleFocus($event)\" \n                (onBlur)=\"onBlur.emit($event)\">\n            </editable-list-input>\n        </editable-list-template>\n    </ng-template>\n</editable-list>\n","import { Component, forwardRef, OnChanges, Input, SimpleChanges, OnDestroy } from '@angular/core';\nimport { EditableListBase } from '../editable-list/editable-list.component';\nimport { NG_VALUE_ACCESSOR, FormBuilder, Validators } from '@angular/forms';\nimport _ from 'lodash';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { Subscription } from 'rxjs';\nimport { TolerantFormGroup } from '@utils/tolerant-form-group';\n\n@UntilDestroy()\n@Component({\n    selector: 'values-list',\n    templateUrl: './values-list.component.html',\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => ValuesListComponent),\n            multi: true\n        }\n    ]\n})\n\n/**\n * Editable list of string values.\n * Uses editable-list-component with a dedicated template.\n * \n * @example\n * <values-list-component items=\"values\"></values-list-component>\n * \n * With values being either a list of strings [ '', ...] or a list of objects [{ valueIdentifier: '' }, ...].\n */\nexport class ValuesListComponent extends EditableListBase implements OnChanges, OnDestroy {\n    @Input() addLabel: string = 'Add Value';\n    @Input() valuePlaceholder: string = 'A value';\n    @Input() valueIdentifier: string;\n    @Input() required: boolean;\n    // native browser autocomplete\n    @Input() autocomplete?: string = 'on';\n    // suggestions for mat-autocomplete\n    @Input() suggestions?: string[];\n\n    // True if the items are a list of string instead of a list of objects\n    private stringsMode: boolean = false;\n    private changesSubscription: Subscription;\n    formBuilder: FormBuilder;\n    inputKey: string;\n    filteredSuggestions: string[] = [];\n\n    writeValue(obj: any): void {\n        this.items = _.cloneDeep(obj) || [];\n\n        if (this.items) {\n            this.computeInputKey();\n            if (this.stringsMode) {\n                this.items = this.items.map((item: any) =>  ({ [this.inputKey]: item }));\n            }\n            this.itemsFormArray && this.itemsFormArray.setValue(this.items);\n        }\n    }\n\n    constructor(fb: FormBuilder) {\n        super();\n        this.formBuilder = fb;\n    }\n\n    // When there is no value identifier provided ie items are stored as an array of strings,\n    // we set the value identifier to 'value' for the list item template, else we use the provided one.\n    computeInputKey() {\n        if (this.inputKey) { return; }\n        if (!this.valueIdentifier) {\n            this.inputKey = 'value';\n            this.stringsMode = true;\n        } else {\n            this.inputKey = this.valueIdentifier;\n        }\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        this.computeInputKey();\n\n        let validators: any[] = [];\n\n        if (this.required) {\n            validators.push(Validators.required);\n        }\n\n        if (changes.suggestions) {\n            this.autocomplete = this.suggestions?.length ? 'off' : 'on';\n        }\n\n        this.itemsFormArray = new FormArrayRepeat(() => {\n            return new TolerantFormGroup({\n                [this.inputKey]: this.formBuilder.control('', validators)\n            });\n        });\n\n        if (this.items && this.items.length) {\n            this.itemsFormArray.setValue(this.items.map((item: any) =>  ({ [this.inputKey]: item[this.inputKey] ? item[this.inputKey] : item })));\n        }\n\n        if (this.changesSubscription) {\n            this.changesSubscription.unsubscribe();\n        }\n\n        this.changesSubscription = this.itemsFormArray.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((items) => { this.handleChange(items) });\n    }\n\n    /** EVENT HANDLERS */\n    handleChange(items: Array<Object>) {\n        this.items = [];\n        if (this.stringsMode) {\n            items.forEach((item: any, i: number) => {\n                this.items[i] = item[this.inputKey];\n            });\n            this.onChange(this.items);\n        } else {\n            this.onChange(items);\n        }\n    }\n\n    handleFocus($event: FocusEvent) {\n        const item = ($event.target as HTMLInputElement)?.value;\n\n        // set current value to reset autocomplete\n        this.updateSuggestions(item);\n\n        this.onFocus.emit($event);\n    }\n\n    // for autocomplete suggestions\n    updateSuggestions(entry: string) {\n        this.filteredSuggestions = [];\n        if (this.suggestions) {\n            const lowercaseValue = entry.toLowerCase();\n            for (const candidate of this.suggestions) {\n                if (candidate && candidate.toLowerCase().includes(lowercaseValue)\n                    && !this.items.includes(candidate)) {\n                    this.filteredSuggestions.push(candidate);\n                }\n            }\n        }\n        this.filteredSuggestions.sort();\n    }\n\n    ngOnDestroy(): void { }\n}\n","import { Component, Input, Output, EventEmitter, Inject } from '@angular/core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'downgraded-values-list',\n    templateUrl: './downgraded-values-list.component.html',\n})\n\n/**\n * Bridge between Angular and AngularJS to use values lists in the later.\n * Simply provides proper inputs and outputs, adapts ControlValueAccessor structure and propagates changes.\n * \n * @example\n * // In AngularJS code\n * <ng2-values-list [(items)]=\"items\" (onChange)=\"change()\"></ng2-values-list>\n */\nexport class DowngradedValuesListComponent {\n    @Input() items: Array<Object>;\n    @Input() sortable: boolean;\n    @Input() suggestions: string[];\n    @Output() onAdd = new EventEmitter<number>();\n    @Output() onDelete = new EventEmitter<number>();\n    @Output() onChange = new EventEmitter<Array<Object>>();\n    @Output() onFocus = new EventEmitter<any>();\n    @Output() onBlur = new EventEmitter<any>();\n    @Output() onReorder = new EventEmitter<any>();\n    @Output() itemsChange = new EventEmitter<Array<Object>>();\n    @Output() onValidityChange = new EventEmitter<boolean>();\n    @Input() addLabel: string = 'Add Value';\n    @Input() hasDivider: boolean = true;\n    @Input() focusOnEnter: boolean = true;\n    @Input() fullWidthList: boolean = false;\n    @Input() disableAdd: boolean = false;\n    @Input() valuePlaceholder: string = 'A value';\n    @Input() valueIdentifier: string;\n    @Input() required: boolean = false;\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) { \n        this.onValidityChange.subscribe(() => $rootScope.$applyAsync());\n    }\n\n    handleChange(items: Array<Object>) {\n        this.$rootScope.$applyAsync();\n        this.itemsChange.emit(items);\n        this.onChange.emit(items);\n    }\n}\n","<values-list [ngModel]=\"items\" \n    (ngModelChange)=\"handleChange($event)\" \n    (onValidityChange)=\"onValidityChange.emit($event)\"\n    [valuePlaceholder]=\"valuePlaceholder\"\n    [valueIdentifier]=\"valueIdentifier\"\n    [required]=\"required\"\n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\" \n    [hasDivider]=\"hasDivider\" \n    [focusOnEnter]=\"focusOnEnter\"\n    [fullWidthList]=\"fullWidthList\"\n    [disableAdd]=\"disableAdd\"\n    [suggestions]=\"suggestions\" \n    (onAdd)=\"onAdd.emit($event)\"\n    (onDelete)=\"onDelete.emit($event)\"\n    (onFocus)=\"onFocus.emit($event)\" \n    (onBlur)=\"onBlur.emit($event)\"\n    (onReorder)=\"onReorder.emit($event)\">\n</values-list>\n","<editable-list\n    [itemsFormArray]=\"itemsFormArray\"\n    [addLabel]=\"addLabel\"\n    [sortable]=\"sortable\"\n    [confirmDeletion]=\"confirmDeletion\"\n    (onAdd)=\"onAdd.emit($event)\"\n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n    <ng-template let-item=\"item\" let-goToNext=\"goToNext\" let-index=\"index\">\n        <editable-list-template (onInputEnter)=\"goToNext($event)\">\n            <i class=\"info-item\" *ngIf=\"iconFn && items[index]\" [ngClass]=\"iconFn(items[index])\"></i>\n            <editable-list-input\n                [inputControl]=\"item?.get([keyIdentifier])\"\n                (inputChange)=\"setSuggestions($event, keyIdentifier)\"\n                placeholder=\"{{keyPlaceholder}}\"\n                [required]=\"keyRequired\"\n                [suggestions]=\"filteredKeySuggestions\"\n                (onFocus)=\"handleFocus($event, keyIdentifier)\"\n                [warnIfTrimmable]=\"warnIfTrimmable\">\n            </editable-list-input>\n            <editable-list-arrow></editable-list-arrow>\n            <editable-list-input\n                [inputControl]=\"item?.get(valueIdentifier)\"\n                (inputChange)=\"setSuggestions($event, valueIdentifier)\"\n                placeholder=\"{{valuePlaceholder}}\"\n                [required]=\"valueRequired\"\n                [suggestions]=\"filteredValueSuggestions\"\n                (onFocus)=\"handleFocus($event, valueIdentifier)\"\n                [warnIfTrimmable]=\"warnIfTrimmable\">\n            </editable-list-input>\n        </editable-list-template>\n    </ng-template>\n</editable-list>\n","import {EventServerTargetSettings} from './event-server-target-settings';\nimport {KafkaTargetSettings} from './kafka-target-settings';\nimport {Log4JTargetSettings} from './log4-jtarget-settings';\n\n/**\n * Generated from com.dataiku.dip.security.audit.model.AuditTrailTargetSettings\n */\nexport interface _AuditTrailTargetSettings {\n    routingKeys: string[];\n    routingKeysFiltering: AuditTrailTargetSettings.RoutingKeyFiltering;\n    topics: string[];\n    topicsFiltering: AuditTrailTargetSettings.TopicsFiltering;\n}\n\nexport type AuditTrailTargetSettings = KafkaTargetSettings | EventServerTargetSettings | Log4JTargetSettings;\n\nexport namespace AuditTrailTargetSettings {\n    export const type = [\"KAFKA\" , \"EVENT_SERVER\" , \"LOG4J\"] as const;\n}\n\nexport namespace AuditTrailTargetSettings {\n    /**\n     * Generated from com.dataiku.dip.security.audit.model.AuditTrailTargetSettings$RoutingKeyFiltering\n     */\n    export enum RoutingKeyFiltering {\n        ALL = 'ALL',\n        SELECTED = 'SELECTED'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.security.audit.model.AuditTrailTargetSettings$TopicsFiltering\n     */\n    export enum TopicsFiltering {\n        ALL = 'ALL',\n        SELECTED = 'SELECTED'\n    }\n}","export namespace FutureProgressState {\n    /**\n     * Generated from com.dataiku.dip.futures.FutureProgressState$StateUnit\n     */\n    export enum StateUnit {\n        SIZE = 'SIZE',\n        FILES = 'FILES',\n        RECORDS = 'RECORDS',\n        NONE = 'NONE'\n    }\n}\n\n/**\n * Generated from com.dataiku.dip.futures.FutureProgressState\n */\nexport interface FutureProgressState {\n    cur: number;\n    depth: number;\n    important: boolean;\n    msSinceStart: number;\n    name: string;\n    startTimestamp: number;\n    target: number;\n    unit: FutureProgressState.StateUnit;\n}","import {AuditTrailTargetSettings, _AuditTrailTargetSettings} from './audit-trail-target-settings';\n\n/**\n * Generated from com.dataiku.dip.security.audit.model.Log4JTargetSettings\n */\nexport interface Log4JTargetSettings extends _AuditTrailTargetSettings {\n    appendTopicToLogger: boolean;\n    loggerSuffix: string;\n\n    // PolyJson type\n    type: 'LOG4J';\n}\n\nexport namespace Log4JTargetSettings {\n    export const type = 'LOG4J';\n}\n\nexport function isLog4JTargetSettings(toTest: AuditTrailTargetSettings): toTest is Log4JTargetSettings { return Log4JTargetSettings.type === toTest.type; }","import {AuditTrailTargetSettings, _AuditTrailTargetSettings} from './audit-trail-target-settings';\n\n/**\n * Generated from com.dataiku.dip.security.audit.model.KafkaTargetSettings\n */\nexport interface KafkaTargetSettings extends _AuditTrailTargetSettings {\n    connection: string;\n    topic: string;\n\n    // PolyJson type\n    type: 'KAFKA';\n}\n\nexport namespace KafkaTargetSettings {\n    export const type = 'KAFKA';\n}\n\nexport function isKafkaTargetSettings(toTest: AuditTrailTargetSettings): toTest is KafkaTargetSettings { return KafkaTargetSettings.type === toTest.type; }","export namespace DKUApp {\n    /**\n     * Generated from com.dataiku.dip.DKUApp$DSSVersion\n     */\n    export interface DSSVersion {\n        conf_version: string;\n        product_commitid: string;\n        product_version: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.DKUApp$LicensingMode\n     */\n    export enum LicensingMode {\n        NONE = 'NONE',\n        SAAS = 'SAAS',\n        ON_PREMISE_CONNECTED = 'ON_PREMISE_CONNECTED',\n        ON_PREMISE_DISCONNECTED = 'ON_PREMISE_DISCONNECTED'\n    }\n}","export namespace ExceptionWithDebuggingHint {\n    /**\n     * Generated from com.dataiku.dip.exceptions.ExceptionWithDebuggingHint$DebuggingHint\n     */\n    export enum DebuggingHint {\n        CHECK_JOB_LOG = 'CHECK_JOB_LOG',\n        CHECK_BACKEND_LOG = 'CHECK_BACKEND_LOG'\n    }\n}","import {AuditTrailTargetSettings, _AuditTrailTargetSettings} from './audit-trail-target-settings';\n\n/**\n * Generated from com.dataiku.dip.security.audit.model.EventServerTargetSettings\n */\nexport interface EventServerTargetSettings extends _AuditTrailTargetSettings {\n    authKey: string;\n    autoconfigureFromNodesDirectory: boolean;\n    routingKey: string;\n    routingKeyMode: EventServerTargetSettings.RoutingKeyMode;\n    trustAllSSLCertificates: boolean;\n    url: string;\n\n    // PolyJson type\n    type: 'EVENT_SERVER';\n}\n\nexport namespace EventServerTargetSettings {\n    export const type = 'EVENT_SERVER';\n}\n\nexport function isEventServerTargetSettings(toTest: AuditTrailTargetSettings): toTest is EventServerTargetSettings { return EventServerTargetSettings.type === toTest.type; }\n\nexport namespace EventServerTargetSettings {\n    /**\n     * Generated from com.dataiku.dip.security.audit.model.EventServerTargetSettings$RoutingKeyMode\n     */\n    export enum RoutingKeyMode {\n        FROM_MESSAGE = 'FROM_MESSAGE',\n        STATIC = 'STATIC',\n        STATIC_IF_MISSING = 'STATIC_IF_MISSING'\n    }\n}","/**\n * Generated from com.dataiku.dip.security.SSOSettings\n */\nexport interface SSOSettings {\n    enabled: boolean;\n    protocol: SSOSettings.SSOProtocol;\n    remappingRules: SSOSettings.SSOUserRemappingRule[];\n    samlIDPMetadata: string;\n    samlLoginAttribute: string;\n    samlSPParams: SSOSettings.SAMLSPParams;\n    spnegoKrb5File: string;\n    spnegoLoginConfFile: string;\n    spnegoMode: SSOSettings.SPNEGOMode;\n    spnegoPreauthKeytab: string;\n    spnegoPreauthLogin: string;\n    spnegoPreauthPassword: string;\n    spnegoPreauthPrincipal: string;\n    spnegoStripRealm: boolean;\n}\n\nexport namespace SSOSettings {\n    /**\n     * Generated from com.dataiku.dip.security.SSOSettings$SAMLSPParams\n     */\n    export interface SAMLSPParams {\n        acsURL: string;\n        entityId: string;\n        keyAlias: string;\n        keystoreFile: string;\n        keystorePassword: string;\n        signRequests: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.security.SSOSettings$SPNEGOMode\n     */\n    export enum SPNEGOMode {\n        PREAUTH_KEYTAB = 'PREAUTH_KEYTAB',\n        CUSTOM_LOGIN_CONF = 'CUSTOM_LOGIN_CONF'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.security.SSOSettings$SSOUserRemappingRule\n     */\n    export interface SSOUserRemappingRule {\n        ruleFrom: string;\n        ruleTo: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.security.SSOSettings$SSOProtocol\n     */\n    export enum SSOProtocol {\n        SAML = 'SAML',\n        SPNEGO = 'SPNEGO'\n    }\n}","/**\n * Generated from com.dataiku.dip.coremodel.InfoMessage\n */\nexport interface InfoMessage {\n    code: string;\n    codeAsObject: any /* TODO: Missing translation of com.dataiku.dip.coremodel.InfoMessage$MessageCode */;\n    column: number;\n    context: string;\n    details: string;\n    governLink: string;\n    isFatal: boolean;\n    line: number;\n    lineTo: number;\n    message: string;\n    severity: InfoMessage.Severity;\n    title: string;\n}\n\nexport namespace InfoMessage {\n    /**\n     * Generated from com.dataiku.dip.coremodel.InfoMessage$FixabilityCategory\n     */\n    export enum FixabilityCategory {\n        USER_CONFIG = 'USER_CONFIG',\n        USER_CONFIG_DATASET = 'USER_CONFIG_DATASET',\n        USER_CONFIG_FOLDER = 'USER_CONFIG_FOLDER',\n        USER_CONFIG_OR_BUILD = 'USER_CONFIG_OR_BUILD',\n        USER_CONFIG_OR_ADMIN = 'USER_CONFIG_OR_ADMIN',\n        ADMIN_INSTALLATION = 'ADMIN_INSTALLATION',\n        ADMIN_SETTINGS_SECURITY = 'ADMIN_SETTINGS_SECURITY',\n        ADMIN_SETTINGS_CONNECTIONS = 'ADMIN_SETTINGS_CONNECTIONS',\n        ADMIN_SETTINGS_CONTAINERS = 'ADMIN_SETTINGS_CONTAINERS',\n        ADMIN_SETTINGS_CODEENVS = 'ADMIN_SETTINGS_CODEENVS',\n        ADMIN_SETTINGS_PLUGINS = 'ADMIN_SETTINGS_PLUGINS',\n        ADMIN_SETTINGS_MISSING_PLUGIN = 'ADMIN_SETTINGS_MISSING_PLUGIN',\n        ADMIN_SETTINGS_USER_PROFILE = 'ADMIN_SETTINGS_USER_PROFILE',\n        ADMIN_SETTINGS_MISC = 'ADMIN_SETTINGS_MISC',\n        ADMIN_TROUBLESHOOTING = 'ADMIN_TROUBLESHOOTING',\n        PROJECT_SECURITY = 'PROJECT_SECURITY',\n        API_CALL = 'API_CALL',\n        READ_FUTURE_LOG = 'READ_FUTURE_LOG',\n        DATA = 'DATA',\n        MISSING_APP = 'MISSING_APP',\n        GOVERNANCE_STATUS = 'GOVERNANCE_STATUS',\n        THIRD_PARTY_SYSTEM_CONNECTION = 'THIRD_PARTY_SYSTEM_CONNECTION',\n        HADOOP_INTEGRATION = 'HADOOP_INTEGRATION',\n        THIRD_PARTY_SYSTEM = 'THIRD_PARTY_SYSTEM',\n        IRRELEVANT = 'IRRELEVANT',\n        UNKNOWN = 'UNKNOWN'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.InfoMessage$Severity\n     */\n    export enum Severity {\n        SUCCESS = 'SUCCESS',\n        INFO = 'INFO',\n        WARNING = 'WARNING',\n        ERROR = 'ERROR'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.InfoMessage$InfoMessages\n     */\n    export interface InfoMessages {\n        anyMessage: boolean;\n        error: boolean;\n        fatal: boolean;\n        maxSeverity: InfoMessage.Severity;\n        messages: InfoMessage[];\n        success: boolean;\n        warning: boolean;\n    }\n}","import { Component, Input, forwardRef, OnDestroy } from '@angular/core';\nimport { EditableListBase } from '../editable-list/editable-list.component';\nimport { NG_VALUE_ACCESSOR, FormBuilder, Validators } from '@angular/forms';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { Subscription } from 'rxjs';\nimport { TolerantFormGroup } from '@utils/tolerant-form-group';\n\n@UntilDestroy()\n@Component({\n    selector: 'key-values-list',\n    templateUrl: './key-values-list.component.html',\n    styleUrls: ['./key-values-list.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => KeyValuesListComponent),\n            multi: true\n        }\n    ]\n})\n\n/**\n * Editable list of key / value pairs.\n * Uses editable-list-component with a dedicated template.\n *\n * @example\n * <key-values-list-component items=\"items\"></key-values-list-component>\n */\nexport class KeyValuesListComponent extends EditableListBase implements OnDestroy {\n    @Input() addLabel: string = 'Add Key/Value';\n    @Input() keyPlaceholder: string = 'A key';\n    @Input() valuePlaceholder: string = 'A value';\n    @Input() iconIdentifier: string = 'icon';\n    @Input() iconFn?: (item: any) => string;\n    @Input() keyIdentifier: string = 'key';\n    @Input() valueIdentifier: string = 'value';\n    @Input() keyRequired: boolean = false;\n    @Input() valueRequired: boolean = false;\n    @Input() required: boolean = true;\n    @Input() warnIfTrimmable: boolean = false;\n    // suggestions for mat-autocomplete\n    @Input() keySuggestions: string[] = [];\n    @Input() valueSuggestions: string[] = [];\n    @Input() confirmDeletion: boolean = false;\n    formBuilder: FormBuilder;\n    filteredKeySuggestions: string[] = [];\n    filteredValueSuggestions: string[] = [];\n    private changesSubscription: Subscription;\n\n    constructor(fb: FormBuilder) {\n        super();\n        this.formBuilder = fb;\n    }\n\n    ngOnChanges() {\n        let keyValidators: any[] = [];\n        let valueValidators: any[] = [];\n\n        if (this.required) {\n            this.keyRequired = true;\n            this.valueRequired = true;\n        }\n\n        if (this.keyRequired) {\n            keyValidators.push(Validators.required);\n        }\n\n        if (this.valueRequired) {\n            valueValidators.push(Validators.required);\n        }\n\n        this.itemsFormArray = new FormArrayRepeat(() => {\n            return new TolerantFormGroup({\n                [this.keyIdentifier]: this.formBuilder.control('', keyValidators),\n                [this.valueIdentifier]: this.formBuilder.control('', valueValidators)\n            });\n        });\n\n        if (this.items && this.items.length) {\n            this.itemsFormArray.setValue(this.items);\n        }\n\n        if (this.changesSubscription) {\n            this.changesSubscription.unsubscribe();\n        }\n\n        this.changesSubscription = this.itemsFormArray.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((items) => {\n                this.items = items;\n                this.onChange(items);\n            });\n    }\n\n    handleFocus($event: FocusEvent, identifier: string) {\n        const item = ($event.target as HTMLInputElement)?.value;\n\n        // set current value to reset autocomplete\n        this.setSuggestions(item, identifier);\n\n        this.onFocus.emit($event);\n    }\n\n    setSuggestions(entry: string, identifier: string) {\n        if (identifier === this.keyIdentifier) {\n            this.filteredKeySuggestions = this.getFilteredSuggestions(entry,  this.keyIdentifier, this.keySuggestions);\n        } else if (identifier === this.valueIdentifier) {\n            this.filteredValueSuggestions = this.getFilteredSuggestions(entry, this.valueIdentifier, this.valueSuggestions);\n        }\n    }\n\n    // for autocomplete suggestions\n    getFilteredSuggestions(entry: string, identifier: string, suggestions: string[]) {\n        const filteredSuggestions = [];\n        if (suggestions && suggestions.length) {\n            const lowercaseValue = entry.toLowerCase();\n            for (const candidate of suggestions) {\n                if (candidate && candidate.toLowerCase().includes(lowercaseValue)\n                    && !(this.items as {[key: string]: any}[]).map(item => item[identifier]).includes(candidate)) {\n                    filteredSuggestions.push(candidate);\n                }\n            }\n        }\n        filteredSuggestions.sort();\n\n        return filteredSuggestions;\n    }\n\n    ngOnDestroy(): void { }\n}\n","import { Component, Input, Output, EventEmitter, Inject } from '@angular/core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'downgraded-key-values-list',\n    templateUrl: './downgraded-key-values-list.component.html',\n})\n\n/**\n * Bridge between Angular and AngularJS to use key value lists in the later.\n * Simply provides proper inputs and outputs, adapts ControlValueAccessor structure and propagates changes.\n *\n * @example\n * // In AngularJS code\n * <ng2-key-values-list [(items)]=\"items\" (onChange)=\"change()\"></ng2-key-values-list>\n */\nexport class DowngradedKeyValuesListComponent {\n    @Input() items: Array<Object>;\n    @Input() sortable: boolean;\n    @Output() onAdd = new EventEmitter<number>();\n    @Output() onDelete = new EventEmitter<number>();\n    @Output() onChange = new EventEmitter<Array<Object>>();\n    @Output() itemsChange = new EventEmitter<Array<Object>>();\n    @Input() addLabel: string = 'Add Key/Value';\n    @Input() hasDivider: boolean = true;\n    @Input() focusOnEnter: boolean = true;\n    @Input() keyPlaceholder: string = 'A key';\n    @Input() valuePlaceholder: string = 'A value';\n    @Input() iconIdentifier: string = 'icon';\n    @Input() iconFn?: (item: any) => string;\n    @Input() keyIdentifier: string = 'key';\n    @Input() valueIdentifier: string = 'value';\n    @Input() keyRequired: boolean = false;\n    @Input() valueRequired: boolean = false;\n    @Input() keySuggestions: string[];\n    @Input() valueSuggestions: string[];\n    @Input() required: boolean = false;\n    @Input() warnIfTrimmable: boolean = false;\n    @Input() confirmDeletion: boolean = false;\n    @Output() onValidityChange = new EventEmitter<boolean>();\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) {\n        this.onValidityChange.subscribe(() => $rootScope.$applyAsync());\n    }\n\n    handleChange(items: Array<Object>) {\n        this.$rootScope.$applyAsync();\n        this.itemsChange.emit(items);\n        this.onChange.emit(items);\n    }\n}\n","<key-values-list [ngModel]=\"items\"\n    (ngModelChange)=\"handleChange($event)\"\n    [keyPlaceholder]=\"keyPlaceholder\"\n    [valuePlaceholder]=\"valuePlaceholder\"\n    [iconIdentifier]=\"iconIdentifier\"\n    [iconFn]=\"iconFn\"\n    [keyIdentifier]=\"keyIdentifier\"\n    [valueIdentifier]=\"valueIdentifier\"\n    [keyRequired]=\"keyRequired\"\n    [valueRequired]=\"valueRequired\"\n    [keySuggestions]=\"keySuggestions\"\n    [valueSuggestions]=\"valueSuggestions\"\n    [required]=\"required\"\n    [addLabel]=\"addLabel\"\n    [sortable]=\"sortable\"\n    [hasDivider]=\"hasDivider\"\n    [focusOnEnter]=\"focusOnEnter\"\n    [warnIfTrimmable]=\"warnIfTrimmable\"\n    [confirmDeletion]=\"confirmDeletion\"\n    (onAdd)=\"onAdd.emit($event)\"\n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n</key-values-list>\n","import { Injectable } from '@angular/core';\nimport { Observable } from 'rxjs';\n\nexport type HttpVerb = 'GET' | 'POST' | 'PUT' | 'DELETE' | 'PATCH';\n\n/**\n * Minimal API providing access to API using DSS conventions\n */\n@Injectable()\nexport abstract class DkuHttpService {\n    public abstract request<T>(\n        method: HttpVerb,\n        path: string,\n        params?: object\n    ): Observable<T>;\n}\n","import { Observable, fromEvent, of, EMPTY, Subject, concat, combineLatest, defer, from, ObservableInput, OperatorFunction } from 'rxjs';\nimport { distinctUntilChanged, takeUntil, switchMap, delay, audit, concatMap, finalize, map, filter } from 'rxjs/operators';\nimport deepEqual from 'fast-deep-equal';\n\n/**\n * Valve letting values pass through only when it is opened\n *\n * => Latest value is stored while the valve is closed and is re-emitted when the valve is opened\n *    Interpretation: render the element when it becomes visible\n *\n * => Closing the valve does not replace the output by 'null'\n *    Interpretation: keep the rendered element on the page even if it is not visible anymore\n *\n * => Emit 'null' if a new value is pushed while the 'valve' was closed\n *    Interpretation: remove element from DOM if it is not visible and is outdated\n *\n * => Emit 'null' if a resize event is received while the element was invisible\n *    Interpretation: remove element from DOM before costly redrawing\n */\nexport function lazyRenderingValve<InputData>(input$: Observable<InputData>, visibility$: Observable<boolean>, resize$: Observable<void>) {\n    return new Observable<InputData | null>((observer) => {\n        let currentVisible = false;\n        let currentInput: any;\n        return input$.subscribe(\n            input => {\n                currentInput = input;\n                if (currentVisible) {\n                    observer.next(currentInput);\n                }\n            },\n            (err) => observer.error(err),\n            () => observer.complete()\n        ).add(visibility$.subscribe(\n            (visible) => {\n                const previouslyVisible = currentVisible;\n                currentVisible = visible;\n                if (visible && !previouslyVisible) {\n                    observer.next(currentInput);\n                }\n            },\n            (err) => observer.error(err)\n        )).add(resize$.subscribe(\n            () => {\n                if (!currentVisible) {\n                    observer.next(null);\n                }\n            },\n            (err) => observer.error(err)\n        ));\n    }).pipe(distinctUntilChanged());\n}\n\nexport function fromLongPressEvent(\n    // Element to install event listener\n    element: HTMLElement,\n    // Duration of a long press\n    durationMs: number,\n    // Decide if the event can bubble up\n    propagateEvent: (event: Event) => boolean\n) {\n    const onMouseDown$ = fromEvent(element, 'mousedown');\n    const onMouseUp$ = fromEvent(element.ownerDocument!, 'mouseup');\n\n    return onMouseDown$.pipe(\n        switchMap((mouseDown: Event & { preventAnotherLongPress?: boolean }) => {\n            if (mouseDown.preventAnotherLongPress) {\n                return EMPTY;\n            }\n            if (!propagateEvent(mouseDown)) {\n                mouseDown.preventAnotherLongPress = true;\n            }\n            return of(mouseDown).pipe(delay(durationMs), takeUntil(onMouseUp$));\n        })\n    );\n}\n\n// stolen from rxjs internals\nexport const isArray = (() => Array.isArray || (<T>(x: any): x is T[] => x && typeof x.length === 'number'))();\n\n// stolen from rxjs internals\nexport function isNumeric(val: any): val is number | string {\n    // parseFloat NaNs numeric-cast false positives (null|true|false|\"\")\n    // ...but misinterprets leading-number strings, particularly hex literals (\"0x...\")\n    // subtraction forces infinities to NaN\n    // adding 1 corrects loss of precision from parseFloat (#15100)\n    return !isArray(val) && (val - parseFloat(val) + 1) >= 0;\n}\n\n/**\n * This operator combines the behaviors of switchMap() & audit().\n * It is inspired from https://github.com/cartant/rxjs-etc/blob/master/source/operators/auditMap.ts\n *\n * Description\n * ===========\n *\n * Projects source values to an observable which is merged in the output observable.\n * Ignores source values while the current projection is active and when it completes, projects the most recent value which has been ignored (if any).\n *\n * Use case\n * ========\n *\n * Imagine:\n * - A live UI which automatically re-computes something costly (eg. a future) when the user changes a setting.\n * - We want to avoid triggering simulateous computations while ensuring the latest changes are always taken into account.\n * - We want to avoid cancelling the expensive computation at every change (cancellation can be non-trivial backend-side and/or have side effects)\n *\n * Solutions:\n *\n * 1) Using switchMap() looks like an obvious solution to this problem but it has the drawback of causing a lot of cancellations (every change will cause a cancellation)\n *\n *      $results = $paramsChanges.pipe(\n *          switchMap(params => runLongComputation(params))\n *      )\n *\n * 2) A debouncing mechanism (eg. with debounce()) is one way to partially address the problem by rate-limiting the costly backend calls. However it can't prevent\n *  extra calls since the debouncer is not aware of how much time the computation takes.\n *\n *      $results = $paramsChanges.pipe(\n *          debounceTime(1000),\n *          switchMap(params => runLongComputation(params))\n *      )\n *\n * 3) This operator provides another solution to this problem.\n *\n *      $results = $paramsChanges.pipe(\n *          auditMap(params => runLongComputation(params))\n *      )\n *\n * => Observables returned by runLongComputation() are never cancelled by a new change and never run concurrently\n * => runLongComputation() is always called on the latest available params and changes occurring while it is running are ignored/postponed\n */\nexport function auditMap<T, R>(\n    project: (value: T, index: number) => ObservableInput<R>\n): OperatorFunction<T, R> {\n    return source => defer(() => {\n        const auditTrigger = new Subject<void>(); // Ask 'audit' to allow another value\n        let isRunning = false; // Is the inner observable running\n        return source.pipe(\n            audit(() => isRunning ? auditTrigger : of(true)),\n            concatMap((v, i) => {\n                const projected = from(project(v, i));\n                return concat(\n                    // Set isRunning flag before running the inner observable\n                    defer(() => { isRunning = true; return EMPTY; }),\n                    projected\n                ).pipe(finalize(() => {\n                    // Unset the isRunning flag after completion of inner observable\n                    isRunning = false;\n                    auditTrigger.next();\n                }));\n            })\n        );\n    });\n}\n\n// Similar to https://github.com/cartant/rxjs-etc/blob/master/source/observable/combineLatestObject.ts\nexport function combineLatestObject<T>(\n    obj: { [K in keyof T]: ObservableInput<T[K]> }\n): Observable<T> {\n    return combineLatest(\n        Object.entries(obj)\n            .map(([key, observable]) =>\n                from(observable as ObservableInput<any>)\n                    .pipe(map(value => ({ [key]: value })))\n            )\n    ).pipe(map(array => Object.assign({}, ...array)));\n}\n\n// Similar to RxJS's distinctUntilChanged() except that values are deeply-compared\nexport function deepDistinctUntilChanged<T>(selector: ((v: T) => any) = (v) => v) {\n    return distinctUntilChanged<T>((a, b) => deepEqual(selector(a), selector(b)));\n}\n\nexport function filterNonNull<T>(): OperatorFunction<T, NonNullable<T>> {\n    return filter<NonNullable<T>>(value => value !== null && value !== undefined)\n}\n","import { Injectable } from '@angular/core';\nimport { Observable, MonoTypeOperatorFunction, Subscription, OperatorFunction, EMPTY, of, identity } from 'rxjs';\nimport { switchMap, takeWhile, startWith, last } from 'rxjs/operators';\nimport { intervalBackoff, IntervalBackoffConfig } from 'backoff-rxjs';\n\nimport { FutureResponse } from '../../generated-sources';\n\nimport { DkuHttpService, HttpVerb } from './dku-http.service';\nimport { auditMap } from '../utils/rxutils';\nimport { Modify } from '../utils/typedefs';\n\nexport type TypedFutureResponse<T> = Modify<FutureResponse, { 'result': T }>;\n\nconst POLLING_BACKOFF_STRATEGY: IntervalBackoffConfig = {\n    initialInterval: 500,\n    maxInterval: 10000,\n    backoffDelay: (iteration, initialInterval) =>\n        Math.pow(1.1, iteration) * initialInterval\n};\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class FutureWatcherService {\n    constructor(private dkuHttpService: DkuHttpService) { }\n\n    /**\n     * Call an API endpoint returning a future and start polling until result is available\n     * If 'abortInBackend' is set to true, the future is aborted in the backend when the observable is unsubscribed\n     */\n    public requestFuture<T>(\n        method: HttpVerb,\n        path: string,\n        params?: object,\n        abortInBackend = true\n    ): Observable<TypedFutureResponse<T>> {\n        return this.dkuHttpService.request<TypedFutureResponse<T>>(method, path, params || {})\n            .pipe(\n                this.pollFuture(),\n                abortInBackend ? this.abortFutureOnUnsubscription() : identity\n            );\n    }\n\n    /**\n     * RxJS operator that can be chained after requestFuture() in order\n     * to wait until the result is available\n     */\n    public waitForResult<T>(): OperatorFunction<TypedFutureResponse<T>, T> {\n        return future => future.pipe(\n            last(),\n            switchMap(resp => resp.hasResult ? of(resp.result) : EMPTY)\n        );\n    }\n\n    /**\n     * Private operator implementing the polling\n     */\n    private pollFuture<T>(): MonoTypeOperatorFunction<TypedFutureResponse<T>> {\n        return initialRequest => initialRequest.pipe(\n            switchMap(initialResp => {\n                return intervalBackoff(POLLING_BACKOFF_STRATEGY).pipe(\n                    auditMap(() => this.getFutureUpdate<T>(initialResp.jobId)),\n                    startWith(initialResp),\n                    takeWhile(resp => resp.alive, true)\n                );\n            })\n        );\n    }\n\n    /**\n     * Private operator implementing 'backend abort when unsubscribed' feature\n     *\n     * Note: it is impossible to ask the backend to abort a future before the frontend\n     *       receives the 'jobId'. If the 'jobId' never comes back (eg. network issue),\n     *       then the future cannot be canceled (inherent limitation of futures API)\n     */\n    private abortFutureOnUnsubscription<T>(): MonoTypeOperatorFunction<TypedFutureResponse<T>> {\n        return future => new Observable(observer => {\n            let subscription: Subscription;\n            let runningJobId: string | null = null;\n            let shouldAbort = false;\n\n            const abortIfNecessary = () => {\n                if (shouldAbort && runningJobId && !subscription.closed) {\n                    // No way to handle failure here :(\n                    this.abortFuture(runningJobId).subscribe();\n                    // Stop the watcher\n                    subscription.unsubscribe();\n                }\n            };\n\n            subscription = future.subscribe(\n                value => {\n                    runningJobId = value.alive && !value.aborted ? value.jobId : null;\n                    abortIfNecessary();\n                    observer.next(value);\n                },\n                error => {\n                    runningJobId = null;\n                    observer.error(error);\n                },\n                () => {\n                    runningJobId = null;\n                    abortIfNecessary();\n                    observer.complete();\n                }\n            );\n\n            return () => {\n                shouldAbort = true;\n                abortIfNecessary();\n            };\n        });\n    }\n\n    private getFutureUpdate<T>(futureId: string) {\n        return this.dkuHttpService.request<TypedFutureResponse<T>>('GET', '/futures/get-update', { futureId });\n    }\n\n    private abortFuture(futureId: string) {\n        return this.dkuHttpService.request<void>('POST', '/futures/abort', { futureId });\n    }\n}\n","import { realAny } from './typedefs';\n\nexport class Assert {\n    static trueish(predicate: realAny, msg: string) {\n        if (!predicate) {\n            throw new Error(msg);\n        }\n    }\n    static fail(msg: string) {\n        throw new Error(msg);\n    }\n}\n","// Function that should never be called\n// - Compile-time: produce an error if argument doesn't have type 'never'\n// - Runtime: throw an exception\nexport function assertNever(value: never): never {\n    throw new Error(`Unhandled discriminated union member: ${JSON.stringify(value)}`);\n}\n","import { Injectable } from '@angular/core';\nimport { fromEvent } from 'rxjs';\nimport { share } from 'rxjs/operators';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class WindowService {\n    // Shared subscription to window:resize events\n    // Note: it is MUCH more efficient to subscribe to this observable rather\n    //       than relying on @HostListener('window:resize')\n    resize$ = fromEvent<void>(window, 'resize').pipe(share());\n}\n","<div\n    inViewport\n    [inViewportOptions]=\"{ threshold: [0] }\"\n    (inViewportAction)=\"onIntersection($event)\"\n>\n    <ng-container *ngIf=\"displayData$ | async; else invisible\">\n        <ng-container *ngTemplateOutlet=\"visibleTemplate\"></ng-container>\n    </ng-container>\n\n    <ng-template #invisible>\n        <ng-container *ngTemplateOutlet=\"invisibleTemplate\"></ng-container>\n    </ng-template>\n</div>\n","import { Component, OnInit, TemplateRef, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { Observable, ReplaySubject } from 'rxjs';\nimport { debounceTime, startWith, switchMap } from 'rxjs/operators';\nimport { ObservableInput } from 'observable-input';\n\nimport { lazyRenderingValve } from '../../utils/rxutils';\nimport { WindowService } from '../../window.service';\n\n@Component({\n    selector: 'lazy-render',\n    templateUrl: './lazy-render.component.html',\n    styleUrls: ['./lazy-render.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class LazyRenderComponent implements OnInit {\n    @Input() @ObservableInput() trackData: Observable<any>;\n    @Input() @ObservableInput() passThrough: Observable<boolean> = false as any; // Known ObservableInput typing issue\n    @Input() visibleTemplate: TemplateRef<any>;\n    @Input() invisibleTemplate: TemplateRef<any>;\n\n    visibility$ = new ReplaySubject<boolean>(1);\n    displayData$: Observable<any>;\n\n    constructor(private windowService: WindowService) {\n    }\n\n    ngOnInit() {\n        this.displayData$ = this.passThrough.pipe(\n            switchMap(passThrough => passThrough ? this.trackData : lazyRenderingValve(\n                this.trackData.pipe(startWith(true)),\n                this.visibility$.pipe(debounceTime(300)),\n                this.windowService.resize$,\n            ))\n        );\n    }\n\n    onIntersection({ visible }: { visible: boolean }) {\n        this.visibility$.next(visible);\n    }\n}\n","<lazy-render\n    [trackData]=\"options\"\n    [visibleTemplate]=\"visible\"\n    [passThrough]=\"passThrough\"\n    [invisibleTemplate]=\"invisible\"\n>\n    <ng-template #visible>\n        <div\n            echarts\n            (chartClick)=\"chartClick.emit($event)\"\n            (chartInit)=\"chartInit.emit($event)\"\n            *ngIf=\"options\"\n            [options]=\"options\"\n        ></div>\n    </ng-template>\n    <ng-template #invisible>\n        <div *ngIf=\"!compactLoading\">\n            Loading chart...\n        </div>\n        <div *ngIf=\"compactLoading\" class=\"loading-icon-wrapper\">\n            <i class=\"icon-spinner\"></i>\n        </div>\n    </ng-template>\n</lazy-render>\n","import { Input, Component, ChangeDetectionStrategy, Output, EventEmitter } from '@angular/core';\nimport { EChartsOption } from 'echarts';\n\n@Component({\n    selector: 'lazy-echart',\n    templateUrl: './lazy-echart.component.html',\n    styleUrls: ['./lazy-echart.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class LazyEchartComponent {\n    @Input() options: EChartsOption;\n    @Input() passThrough = false;\n    @Input() compactLoading = false;\n    @Output() chartClick = new EventEmitter();\n    @Output() chartInit = new EventEmitter();\n}\n","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Quantiles} from './../../../compute/computations/univariate/quantiles';\nimport {_UnivariateCard} from './../univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.QuantilesTableCard\n */\nexport interface QuantilesTableCard extends _UnivariateCard {\n    confidenceLevel: number;\n    customFreqs?: number[] | null;\n    showConfidenceInterval: boolean;\n\n    // PolyJson type\n    type: 'quantile_table';\n}\n\nexport namespace QuantilesTableCard {\n    export const type = 'quantile_table';\n}\n\nexport function isQuantilesTableCard(toTest: Card): toTest is QuantilesTableCard { return QuantilesTableCard.type === toTest.type; }\n\nexport namespace QuantilesTableCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.QuantilesTableCard$QuantilesTableCardResult\n     */\n    export interface QuantilesTableCardResult extends _CardResult {\n        quantiles: Quantiles.QuantileDesc[];\n\n        // PolyJson type\n        type: 'quantile_table';\n    }\n\n    export namespace QuantilesTableCardResult {\n        export const type = 'quantile_table';\n    }\n\n    export function isQuantilesTableCardResult(toTest: CardResult): toTest is QuantilesTableCardResult { return QuantilesTableCardResult.type === toTest.type; }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Triangular\n */\nexport interface Triangular extends _Distribution {\n    // PolyJson type\n    type: 'triangular';\n}\n\nexport namespace Triangular {\n    export const type = 'triangular';\n}\n\nexport function isTriangular(toTest: Distribution): toTest is Triangular { return Triangular.type === toTest.type; }\n\nexport namespace Triangular {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Triangular$FittedTriangular\n     */\n    export interface FittedTriangular extends Distribution._FittedDistribution {\n        a: number;\n        b: number;\n        c: number;\n\n        // PolyJson type\n        type: 'triangular';\n    }\n\n    export namespace FittedTriangular {\n        export const type = 'triangular';\n    }\n\n    export function isFittedTriangular(toTest: Distribution.FittedDistribution): toTest is FittedTriangular { return FittedTriangular.type === toTest.type; }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.TopNTimeGrouping\n */\nexport interface TopNTimeGrouping extends _Grouping {\n    column: string;\n    n: number;\n\n    // PolyJson type\n    type: 'topn_time';\n}\n\nexport namespace TopNTimeGrouping {\n    export const type = 'topn_time';\n}\n\nexport function isTopNTimeGrouping(toTest: Grouping): toTest is TopNTimeGrouping { return TopNTimeGrouping.type === toTest.type; }\n\nexport namespace TopNTimeGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.TopNTimeGrouping$TopNTimeGroupingResult\n     */\n    export interface TopNTimeGroupingResult extends _GroupingResult {\n        // PolyJson type\n        type: 'topn_time';\n    }\n\n    export namespace TopNTimeGroupingResult {\n        export const type = 'topn_time';\n    }\n\n    export function isTopNTimeGroupingResult(toTest: GroupingResult): toTest is TopNTimeGroupingResult { return TopNTimeGroupingResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {SplitBySpec} from './../models/split-by-spec';\nimport {_UnivariateCard} from './univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.CDFPlotCard\n */\nexport interface CDFPlotCard extends _UnivariateCard {\n    colorBy?: SplitBySpec | null;\n    highlightFilter?: Filter | null;\n\n    // PolyJson type\n    type: 'cdf_plot';\n}\n\nexport namespace CDFPlotCard {\n    export const type = 'cdf_plot';\n}\n\nexport function isCDFPlotCard(toTest: Card): toTest is CDFPlotCard { return CDFPlotCard.type === toTest.type; }\n\nexport namespace CDFPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CDFPlotCard$CDFItem\n     */\n    export interface CDFItem {\n        groupIndex: number;\n        isHighlighted: boolean;\n        probs: number[];\n        xvals: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CDFPlotCard$CDFPlotCardResult\n     */\n    export interface CDFPlotCardResult extends _CardResult {\n        cdfs: CDFPlotCard.CDFItem[];\n        groups: Filter[];\n\n        // PolyJson type\n        type: 'cdf_plot';\n    }\n\n    export namespace CDFPlotCardResult {\n        export const type = 'cdf_plot';\n    }\n\n    export function isCDFPlotCardResult(toTest: CardResult): toTest is CDFPlotCardResult { return CDFPlotCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.TimeStep\n */\nexport interface TimeStep extends Computation._UnivariateComputation {\n    maxSteps: number;\n\n    // PolyJson type\n    type: 'time_step';\n}\n\nexport namespace TimeStep {\n    export const type = 'time_step';\n}\n\nexport function isTimeStep(toTest: Computation): toTest is TimeStep { return TimeStep.type === toTest.type; }\n\nexport namespace TimeStep.TimeStepResult {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$Step\n     */\n    export interface _Step {}\n\n    export type Step = TimeStep.TimeStepResult.IsoDurationStep | TimeStep.TimeStepResult.BusinessDaysStep;\n\n    export namespace Step {\n        export const type = [\"iso_duration_step\" , \"business_days_step\"] as const;\n    }\n\n    export function isStep(toTest: TimeStep.TimeStepResult.Step): toTest is Step { return (Step.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$BusinessDaysStep\n     */\n    export interface BusinessDaysStep extends TimeStep.TimeStepResult._Step {\n        weekMask: string;\n\n        // PolyJson type\n        type: 'business_days_step';\n    }\n\n    export namespace BusinessDaysStep {\n        export const type = 'business_days_step';\n    }\n\n    export function isBusinessDaysStep(toTest: TimeStep.TimeStepResult.Step): toTest is BusinessDaysStep { return BusinessDaysStep.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$IsoDurationStep\n     */\n    export interface IsoDurationStep extends TimeStep.TimeStepResult._Step {\n        duration: string;\n\n        // PolyJson type\n        type: 'iso_duration_step';\n    }\n\n    export namespace IsoDurationStep {\n        export const type = 'iso_duration_step';\n    }\n\n    export function isIsoDurationStep(toTest: TimeStep.TimeStepResult.Step): toTest is IsoDurationStep { return IsoDurationStep.type === toTest.type; }\n}\n\nexport namespace TimeStep {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult\n     */\n    export interface TimeStepResult extends _AvailableResult {\n        nSteps: number;\n        steps: TimeStep.TimeStepResult.Step[];\n\n        // PolyJson type\n        type: 'time_step';\n    }\n\n    export namespace TimeStepResult {\n        export const type = 'time_step';\n    }\n\n    export function isTimeStepResult(toTest: ComputationResult): toTest is TimeStepResult { return TimeStepResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {HeatmapParams} from './common/heatmap-params';\nimport {SplitBySpec} from './../models/split-by-spec';\nimport {_MultivariateCard} from './multivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.PCACard\n */\nexport interface PCACard extends _MultivariateCard {\n    colorBy?: SplitBySpec | null;\n    heatmapParams: HeatmapParams;\n    showComponents: boolean;\n    showLoadingPlot: boolean;\n    showScatterPlot: boolean;\n    showScreePlot: boolean;\n\n    // PolyJson type\n    type: 'pca';\n}\n\nexport namespace PCACard {\n    export const type = 'pca';\n}\n\nexport function isPCACard(toTest: Card): toTest is PCACard { return PCACard.type === toTest.type; }\n\nexport namespace PCACard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.PCACard$PCACardResult\n     */\n    export interface PCACardResult extends _CardResult {\n        components: number[][];\n        explainedVariance: number[];\n        explainedVarianceRatio: number[];\n        groups: Filter[];\n        partialErrors?: string[] | null;\n        projections: number[][][];\n\n        // PolyJson type\n        type: 'pca';\n    }\n\n    export namespace PCACardResult {\n        export const type = 'pca';\n    }\n\n    export function isPCACardResult(toTest: CardResult): toTest is PCACardResult { return PCACardResult.type === toTest.type; }\n}","import {Filter} from './../filtering/filter';\nimport {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.SubsetGrouping\n */\nexport interface SubsetGrouping extends _Grouping {\n    filter: Filter;\n\n    // PolyJson type\n    type: 'subset';\n}\n\nexport namespace SubsetGrouping {\n    export const type = 'subset';\n}\n\nexport function isSubsetGrouping(toTest: Grouping): toTest is SubsetGrouping { return SubsetGrouping.type === toTest.type; }\n\nexport namespace SubsetGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.SubsetGrouping$SubsetGroupingResult\n     */\n    export interface SubsetGroupingResult extends _GroupingResult {\n        filter: Filter;\n\n        // PolyJson type\n        type: 'subset';\n    }\n\n    export namespace SubsetGroupingResult {\n        export const type = 'subset';\n    }\n\n    export function isSubsetGroupingResult(toTest: GroupingResult): toTest is SubsetGroupingResult { return SubsetGroupingResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {HeatmapParams} from './common/heatmap-params';\nimport {_MultivariateCard} from './multivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard\n */\nexport interface CorrelationMatrixCard extends _MultivariateCard {\n    heatmapParams: HeatmapParams;\n    metric: CorrelationMatrixCard.CorrelationMetric;\n\n    // PolyJson type\n    type: 'correlation_matrix';\n}\n\nexport namespace CorrelationMatrixCard {\n    export const type = 'correlation_matrix';\n}\n\nexport function isCorrelationMatrixCard(toTest: Card): toTest is CorrelationMatrixCard { return CorrelationMatrixCard.type === toTest.type; }\n\nexport namespace CorrelationMatrixCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard$CorrelationMetric\n     */\n    export enum CorrelationMetric {\n        PEARSON = 'PEARSON',\n        SPEARMAN = 'SPEARMAN'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard$CorrelationMatrixCardResult\n     */\n    export interface CorrelationMatrixCardResult extends _CardResult {\n        partialErrors?: string[] | null;\n        scores: number[];\n\n        // PolyJson type\n        type: 'correlation_matrix';\n    }\n\n    export namespace CorrelationMatrixCardResult {\n        export const type = 'correlation_matrix';\n    }\n\n    export function isCorrelationMatrixCardResult(toTest: CardResult): toTest is CorrelationMatrixCardResult { return CorrelationMatrixCardResult.type === toTest.type; }\n}","export namespace SparkConstants {\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.SparkConstants$Checkpoint\n     */\n    export enum Checkpoint {\n        NONE = 'NONE',\n        RESILIENT = 'RESILIENT',\n        LOCAL = 'LOCAL'\n    }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Weibull\n */\nexport interface Weibull extends _Distribution {\n    // PolyJson type\n    type: 'weibull';\n}\n\nexport namespace Weibull {\n    export const type = 'weibull';\n}\n\nexport function isWeibull(toTest: Distribution): toTest is Weibull { return Weibull.type === toTest.type; }\n\nexport namespace Weibull {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Weibull$FittedWeibull\n     */\n    export interface FittedWeibull extends Distribution._FittedDistribution {\n        scale: number;\n        shape: number;\n\n        // PolyJson type\n        type: 'weibull';\n    }\n\n    export namespace FittedWeibull {\n        export const type = 'weibull';\n    }\n\n    export function isFittedWeibull(toTest: Distribution.FittedDistribution): toTest is FittedWeibull { return FittedWeibull.type === toTest.type; }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {PolynomialCurve} from './../../../compute/curves/polynomial-curve';\nimport {SplitBySpec} from './../../models/split-by-spec';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard\n */\nexport interface ScatterPlotCard extends _BivariateCard {\n    colorBy?: SplitBySpec | null;\n    highlightFilter?: Filter | null;\n    maxNumberOfPoints: number;\n    showTrend: boolean;\n    symbolSize: number;\n\n    // PolyJson type\n    type: 'scatter_plot';\n}\n\nexport namespace ScatterPlotCard {\n    export const type = 'scatter_plot';\n}\n\nexport function isScatterPlotCard(toTest: Card): toTest is ScatterPlotCard { return ScatterPlotCard.type === toTest.type; }\n\nexport namespace ScatterPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard$ScatterPlotSeries\n     */\n    export interface ScatterPlotSeries {\n        groupIndex: number;\n        isHighlighted: boolean;\n        trend?: PolynomialCurve.ParametrizedPolynomialCurve | null;\n        xSeries: number[];\n        ySeries: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard$ScatterPlotCardResult\n     */\n    export interface ScatterPlotCardResult extends _CardResult {\n        groups: Filter[];\n        series: ScatterPlotCard.ScatterPlotSeries[];\n\n        // PolyJson type\n        type: 'scatter_plot';\n    }\n\n    export namespace ScatterPlotCardResult {\n        export const type = 'scatter_plot';\n    }\n\n    export function isScatterPlotCardResult(toTest: CardResult): toTest is ScatterPlotCardResult { return ScatterPlotCardResult.type === toTest.type; }\n}","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.AndFilter\n */\nexport interface AndFilter extends _Filter {\n    filters: Filter[];\n\n    // PolyJson type\n    type: 'and';\n}\n\nexport namespace AndFilter {\n    export const type = 'and';\n}\n\nexport function isAndFilter(toTest: Filter): toTest is AndFilter { return AndFilter.type === toTest.type; }","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.OneWayAnova\n */\nexport interface OneWayAnova extends Computation._UnivariateComputation {\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'one_way_anova';\n}\n\nexport namespace OneWayAnova {\n    export const type = 'one_way_anova';\n}\n\nexport function isOneWayAnova(toTest: Computation): toTest is OneWayAnova { return OneWayAnova.type === toTest.type; }\n\nexport namespace OneWayAnova {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.OneWayAnova$OneWayAnovaResult\n     */\n    export interface OneWayAnovaResult extends _AvailableResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'one_way_anova';\n    }\n\n    export namespace OneWayAnovaResult {\n        export const type = 'one_way_anova';\n    }\n\n    export function isOneWayAnovaResult(toTest: ComputationResult): toTest is OneWayAnovaResult { return OneWayAnovaResult.type === toTest.type; }\n}","import {Abstract2SampTestCard, _Abstract2SampTestCard} from './common/abstract2-samp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.MoodTest2SampCard\n */\nexport interface MoodTest2SampCard extends _Abstract2SampTestCard {\n    // PolyJson type\n    type: 'mood_test_2samp';\n}\n\nexport namespace MoodTest2SampCard {\n    export const type = 'mood_test_2samp';\n}\n\nexport function isMoodTest2SampCard(toTest: Card): toTest is MoodTest2SampCard { return MoodTest2SampCard.type === toTest.type; }\n\nexport namespace MoodTest2SampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.MoodTest2SampCard$MoodTest2SampCardResult\n     */\n    export interface MoodTest2SampCardResult extends Abstract2SampTestCard._Abstract2SampTestCardResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'mood_test_2samp';\n    }\n\n    export namespace MoodTest2SampCardResult {\n        export const type = 'mood_test_2samp';\n    }\n\n    export function isMoodTest2SampCardResult(toTest: CardResult): toTest is MoodTest2SampCardResult { return MoodTest2SampCardResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Distribution2D} from './../../compute/distributions/distribution2-d';\nimport {Fit2DDistribution} from './../../compute/computations/bivariate/fit2-ddistribution';\nimport {_BivariateCard} from './bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.Fit2DDistributionCard\n */\nexport interface Fit2DDistributionCard extends _BivariateCard {\n    distribution: Distribution2D;\n    xResolution: number;\n    yResolution: number;\n\n    // PolyJson type\n    type: 'fit_2d_distribution';\n}\n\nexport namespace Fit2DDistributionCard {\n    export const type = 'fit_2d_distribution';\n}\n\nexport function isFit2DDistributionCard(toTest: Card): toTest is Fit2DDistributionCard { return Fit2DDistributionCard.type === toTest.type; }\n\nexport namespace Fit2DDistributionCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.Fit2DDistributionCard$Fit2DDistributionCardResult\n     */\n    export interface Fit2DDistributionCardResult extends _CardResult {\n        result: Fit2DDistribution.Fit2DDistributionResult;\n\n        // PolyJson type\n        type: 'fit_2d_distribution';\n    }\n\n    export namespace Fit2DDistributionCardResult {\n        export const type = 'fit_2d_distribution';\n    }\n\n    export function isFit2DDistributionCardResult(toTest: CardResult): toTest is Fit2DDistributionCardResult { return Fit2DDistributionCardResult.type === toTest.type; }\n}","import {PreTrainPredictionModelingParams} from './pre-train-prediction-modeling-params';\nimport {ResolvedClassicalPredictionPreprocessingParams} from './resolved-classical-prediction-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.EnsembleParams\n */\nexport interface EnsembleParams {\n    method: EnsembleParams.EnsembleMethod;\n    model_ids: string[];\n    modeling_params: PreTrainPredictionModelingParams[];\n    ordered_hashes: string[];\n    preprocessing_hashes: {[key: string]: string};\n    preprocessing_params: ResolvedClassicalPredictionPreprocessingParams[];\n    proba_inputs: boolean;\n    thresholds: number[];\n}\n\nexport namespace EnsembleParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.EnsembleParams$EnsembleMethod\n     */\n    export enum EnsembleMethod {\n        AVERAGE = 'Average',\n        PROBA_AVERAGE = 'Average',\n        MEDIAN = 'Median',\n        VOTE = 'Majority vote',\n        LINEAR_MODEL = 'Linear stacking',\n        LOGISTIC_MODEL = 'Logistic stacking'\n    }\n}","import { Component, ElementRef, OnInit, Input, ChangeDetectionStrategy, ViewChild, NgZone } from '@angular/core';\n\n@Component({\n    selector: 'drag-scroll',\n    templateUrl: './drag-scroll.component.html',\n    styleUrls: [\n        './drag-scroll.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DragScrollComponent implements OnInit {\n    @Input() dragEnabled = false;\n    @Input() height: number | null = null;\n\n    @ViewChild('scroller', { static: true }) el: ElementRef;\n\n    dragging = false;\n    selecting = false;\n    lastPositionX: number;\n    lastPositionY: number;\n    SCROLL_RATE = 1;\n\n    constructor(private zone: NgZone) { }\n\n    ngOnInit() {\n        // don't want to fire angular change detection every time the mouse moves\n        this.zone.runOutsideAngular(() => {\n            this.el.nativeElement.addEventListener('mousemove', this.onMouseMove.bind(this));\n        });\n    }\n\n    onMouseDown(event: MouseEvent) {\n        if (this.dragEnabled) {\n            const target = event.target as Element;\n\n            if (!(target && this.clickedOnText(target, event.pageX, event.pageY))) {\n                this.dragging = true;\n                this.lastPositionX = event.pageX;\n                this.lastPositionY = event.pageY;\n            } else {\n                this.selecting = true;\n            }\n        }\n    }\n\n    onMouseMove(event: MouseEvent) {\n        if (this.dragging && this.dragEnabled) {\n            // prevent text selection\n            event.preventDefault();\n\n            // get current X position\n            const currentPositionX = event.pageX;\n            const currentPositionY = event.pageY;\n\n            const deltaX = (this.lastPositionX - currentPositionX) * this.SCROLL_RATE;\n            const deltaY = (this.lastPositionY - currentPositionY) * this.SCROLL_RATE;\n            const scrollLeft = this.el.nativeElement.scrollLeft;\n            const scrollTop = this.el.nativeElement.scrollTop;\n\n            this.el.nativeElement.scrollLeft = scrollLeft + deltaX;\n            this.el.nativeElement.scrollTop = scrollTop + deltaY;\n            this.lastPositionX = currentPositionX;\n            this.lastPositionY = currentPositionY;\n        }\n    }\n\n    onMouseUp(event: MouseEvent) {\n        this.dragging = false;\n        this.selecting = false;\n    }\n\n    onMouseLeave(event: MouseEvent) {\n        this.dragging = false;\n        this.selecting = false;\n    }\n\n    private clickedOnText(element: Element, x: number, y: number) {\n        // Check current element\n        const nodeName = element.nodeName.toLowerCase();\n        if (nodeName === 'textarea' || nodeName === 'input') {\n            return true;\n        }\n\n        // Check children\n        let clickedText = false;\n        const nodes = element.childNodes;\n        const range = document.createRange();\n        nodes.forEach(node => {\n            if (!clickedText && node.nodeType === node.TEXT_NODE) {\n                range.selectNodeContents(node);\n                if (this.isInside(x, y, range.getBoundingClientRect())) {\n                    clickedText = true;\n                }\n            }\n        });\n\n        return clickedText;\n    }\n\n    private isInside(x: number, y: number, rect: DOMRect) {\n        return x >= rect.left && y >= rect.top\n            && x <= rect.right && y <= rect.bottom;\n    }\n}\n","<div\n    class=\"drag-scroll\"\n    cdkScrollable\n    [style.cursor]=\"dragging ? 'grabbing': 'auto'\"\n    [ngStyle]=\"{'height': height}\"\n    (mouseleave)=\"onMouseLeave($event)\"\n    (mouseup)=\"onMouseUp($event)\"\n    (mousedown)=\"onMouseDown($event)\"\n    #scroller\n>\n    <ng-content></ng-content>\n</div>\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { ScrollingModule } from '@angular/cdk/scrolling';\nimport { NgxEchartsModule } from 'ngx-echarts';\nimport { InViewportModule } from 'ng-in-viewport';\n\nimport { LazyEchartComponent } from './components/lazy-echart/lazy-echart.component';\nimport { LazyRenderComponent } from './components/lazy-render/lazy-render.component';\nimport { DragScrollComponent } from './components/drag-scroll/drag-scroll.component';\nimport { WindowService } from './window.service';\n\n@NgModule({\n    imports: [\n        CommonModule,\n        NgxEchartsModule.forRoot({\n            echarts: () => import('echarts'),\n        }),\n        InViewportModule,\n        ScrollingModule,\n    ],\n    entryComponents: [],\n    providers: [\n        WindowService,\n    ],\n    bootstrap: [],\n    declarations: [\n        LazyEchartComponent,\n        LazyRenderComponent,\n        DragScrollComponent,\n    ],\n    exports: [\n        LazyEchartComponent,\n        LazyRenderComponent,\n        DragScrollComponent,\n    ],\n})\nexport class DkuFrontendCoreModule { }\n","import {Inject, Injectable, Type} from '@angular/core';\nimport {ActivatedRoute, ActivatedRouteSnapshot, Data, ParamMap, Params, Route, UrlSegment} from '@angular/router';\nimport {Observable, Observer} from 'rxjs';\nimport { MatDialog } from '@angular/material/dialog';\n\nimport { Dict, fairAny } from 'dku-frontend-core';\nimport { $stateType } from '@migration/upgraded-providers';\n\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class DkuActivatedRouteService implements ActivatedRoute {\n\n    component: Type<any> | string | null;\n    data: Observable<Data>;\n    fragment: Observable<string>;\n    outlet: string;\n    snapshot: ActivatedRouteSnapshot;\n    url: Observable<UrlSegment[]>;\n\n    readonly children: ActivatedRoute[];\n    readonly firstChild: ActivatedRoute | null;\n    readonly parent: ActivatedRoute | null;\n    readonly pathFromRoot: ActivatedRoute[];\n    readonly queryParamMap: Observable<ParamMap>;\n    readonly root: ActivatedRoute;\n    readonly routeConfig: Route | null;\n\n    readonly paramMap: Observable<ParamMap>;\n\n    queryParams: Observable<Params>; // NOT IMPLEMENTED: discouraged in Angular\n    params: Observable<Params>; // NOT IMPLEMENTED: discouraged in Angular\n\n    constructor(\n        @Inject('$state') $state: $stateType,\n        @Inject('$rootScope') $rootScope: fairAny,\n        private dialogs: MatDialog\n    ) {\n        this.paramMap = Observable.create((observer: Observer<ParamMap>) => {\n            observer.next(new DkuParamMap($state.params));\n            $rootScope.$on('$stateChangeStart', () => {\n                // just in case, make sure we discard all modals/popup\n                this.dialogs.closeAll();\n                observer.next(new DkuParamMap($state.params));\n            });\n        });\n    }\n}\n\n/*\nThis service provides an interface very close from that of the native Angular Router's ActivatedRoute\nso that we can seamlessly transition to Angular2+ router\n */\nexport class DkuParamMap implements ParamMap {\n    /** Name of the parameters */\n    readonly keys: string[];\n\n    has(name: string): boolean {\n        return Object.keys(this.params).includes(name);\n    }\n    /**\n     * Return a single value for the given parameter name:\n     * - the value when the parameter has a single value,\n     * - the first value if the parameter has multiple values,\n     * - `null` when there is no such parameter.\n     */\n    get(name: string): string | null {\n        return this.params[name];\n    }\n    /**\n     * Return an array of values for the given parameter name.\n     *\n     * If there is no such parameter, an empty array is returned.\n     */\n    getAll(name: string): string[] {\n        return [this.params[name]];\n    }\n\n    constructor(private params: Dict<string>) {\n    }\n}\n","import { Injectable, Inject, NgZone } from '@angular/core';\nimport { DkuActivatedRouteService } from '@migration/dku-activated-route';\nimport { ParamMap } from '@angular/router';\nimport { IScope } from 'angular';\nimport { Observable } from 'rxjs';\nimport { map, shareReplay } from 'rxjs/operators';\n\n/*\n    This is a simple service to get the state params IF we know for sure that they will be ready\n    and we don't care about future changes (no use of observables)\n*/\n@Injectable({\n    providedIn: 'root'\n})\nexport class CurrentRouteService {\n    params: ParamMap;\n\n    stateParams$ = new Observable<any>(observer => {\n        observer.next(this.$state.params);\n        return this.$rootScope.$on('$stateChangeSuccess', () =>\n            this.ngZone.run(() => observer.next(this.$state.params))\n        );\n    }).pipe(shareReplay(1));\n\n    projectKey$ = this.stateParams$.pipe(\n        map(params => params.projectKey as string | undefined)\n    );\n\n    constructor(\n        private ngZone: NgZone,\n        private dkuActivatedRouteService: DkuActivatedRouteService,\n        @Inject('$state') private $state: any,\n        @Inject('$rootScope') private $rootScope: IScope\n    ) {\n        this.dkuActivatedRouteService.paramMap.subscribe(paramMap => this.refresh(paramMap));\n    }\n\n    refresh(paramMap: ParamMap): any {\n        this.params = paramMap;\n    }\n\n    get projectKey(): string {\n        return this.$state.params.projectKey;\n    }\n\n    get datasetName(): string {\n        if (this.$state.params.datasetName) {\n            return this.$state.params.datasetName;\n        } else {\n            return this.$state.params.datasetFullName;\n        }\n    }\n\n    get worksheetId(): string {\n        return this.$state.params.worksheetId;\n    }\n\n    get analysisId(): string {\n        return this.$state.params.analysisId;\n    }\n\n    get mlTaskId(): string {\n        return this.$state.params.mlTaskId;\n    }\n}\n","import { DkuHttpService } from 'dku-frontend-core';\nimport { Observable } from 'rxjs';\nimport { Injectable } from '@angular/core';\nimport { NavigatorService } from 'src/generated-sources';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateDatasetsAPI {\n    constructor(private dkuHttp: DkuHttpService) {\n    }\n\n    get(projectKey: string, name: string, contextProjectKey?: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/datasets/get', { projectKey, name, contextProjectKey });\n    }\n\n    listPartitionsWithName(projectKey: string, datasetName: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/datasets/list-partitions-with-name', { projectKey, datasetName });\n    }\n\n    getFullInfo(contextProjectKey: string, projectKey: string, name: string): Observable<NavigatorService.DatasetFullInfo> {\n        return this.dkuHttp.request('GET', '/datasets/get-full-info', { projectKey, name, contextProjectKey });\n    }\n}\n","import { Worksheet } from '@model-main/eda/worksheets/models/worksheet';\nimport { Observable } from 'rxjs';\nimport { Card, DataSpec, TaggableObjectsService, WorksheetsService, CardResult, InteractiveQuery } from 'src/generated-sources';\nimport { Sample } from '@model-main/eda/compute/sampling/sample';\nimport { TypedFutureResponse, FutureWatcherService, Filter } from 'dku-frontend-core';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { Injectable } from '@angular/core';\n\n@Injectable({ providedIn: 'root' })\nexport class PrivateStatisticsAPI {\n    constructor(\n        private dkuHttp: DkuHttpService,\n        private futureWatcher: FutureWatcherService\n    ) { }\n\n    list(projectKey: string, datasetSmartName: string): Observable<WorksheetsService.WorksheetHead[]> {\n        return this.dkuHttp.request('GET', '/eda/worksheets/list-worksheets', { projectKey, datasetSmartName });\n    }\n\n    get(projectKey: string, worksheetId: string): Observable<Worksheet> {\n        return this.dkuHttp.request('GET', '/eda/worksheets/get-worksheet', { projectKey, worksheetId });\n    }\n\n    save(worksheet: Worksheet): Observable<Worksheet> {\n        return this.dkuHttp.request('POST', '/eda/worksheets/save-worksheet', { worksheet });\n    }\n\n    currentSample(key: TaggableObjectsService.TaggableObjectRef, dataSpec: DataSpec): Observable<Sample | null> {\n        return this.dkuHttp.request('POST', '/eda/compute/samples/current', { key, dataSpec, });\n    }\n\n    rebuildSample(key: TaggableObjectsService.TaggableObjectRef, dataSpec: DataSpec): Observable<TypedFutureResponse<Sample>> {\n        return this.futureWatcher.requestFuture('POST', '/eda/compute/samples/rebuild', { key, dataSpec });\n    }\n\n    fixCard(card: Card): Observable<Card> {\n        return this.dkuHttp.request('POST', '/eda/card-compute/fix-card', { card });\n    }\n\n    computeResults(card: Card, cacheOnly: boolean, sampleId: string): Observable<TypedFutureResponse<CardResult>> {\n        return this.futureWatcher.requestFuture('POST', '/eda/card-compute/compute-card-result', { card, cacheOnly, sampleId });\n    }\n\n    runInteractiveQuery<T extends InteractiveQuery>(query: T, sampleId: string): Observable<TypedFutureResponse<Filter<InteractiveQuery.InteractiveQueryResult, { type: T['type']}>>> {\n        return this.futureWatcher.requestFuture('POST', '/eda/card-compute/run-interactive-query', { query, sampleId }, false);\n    }\n}\n","import { Observable } from 'rxjs';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { Injectable } from '@angular/core';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateTaggableObjectsAPI {\n    constructor(private dkuHttp: DkuHttpService) { }\n\n    delete(request: any[], contextProjectKey: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/taggable-objects/delete', {\n            request,\n            contextProjectKey,\n        });\n    }\n}\n","import { ProjectsCRUDController } from 'src/generated-sources';\nimport { Observable } from 'rxjs';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { Injectable } from '@angular/core';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateProjectsAPI {\n    constructor(private dkuHttp: DkuHttpService) { }\n\n    getSummary(projectKey: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/projects/get-summary', { projectKey });\n    }\n\n    listHeads(requiredPrivilege?: string | null): Observable<ProjectsCRUDController.ProjectHead[]> {\n        return this.dkuHttp.request('GET', '/projects/list-heads', { requiredPrivilege });\n    }\n}\n","import { UsabilityComputer } from 'src/generated-sources';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { Observable } from 'rxjs';\nimport { Injectable } from '@angular/core';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateFlowAPI {\n    constructor(private dkuHttp: DkuHttpService) {\n    }\n\n    listUsableComputables(projectKey?: string, filter?: UsabilityComputer.ListSettings): Observable<UsabilityComputer.UsableComputable[]> {\n        return this.dkuHttp.request('GET', '/flow/list-usable-computable', { projectKey, filter: JSON.stringify(filter) });\n    }\n}\n","import { DkuHttpService } from 'dku-frontend-core';\nimport { Observable } from 'rxjs';\nimport { Injectable } from '@angular/core';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateDashboardsAPI {\n    constructor(private dkuHttp: DkuHttpService) {\n    }\n\n    getInsightWithPayload(projectKey: string, insightId: string): Observable<any> {\n        return this.dkuHttp.request<any>('GET', '/dashboards/insights/get-with-payload', { projectKey, insightId });\n    }\n}\n","import { Observable } from 'rxjs';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { Injectable } from '@angular/core';\nimport { SerializedMemTableV2 } from '@model-main/shaker/server/serialized-mem-table-v2';\nimport { SerializedTableChunk } from '@model-main/shaker/server/serialized-table-chunk';\nimport { DataAugmentationService, DeepHubPreTrainModelingParams } from 'src/generated-sources';\n\n@Injectable({ providedIn: 'root' })\nexport class PrivateAnalysisAPI {\n    constructor(\n        private dkuHttp: DkuHttpService,\n    ) { }\n\n    getRandomImagePaths(projectKey: string, analysisId: string, mlTaskId: string, numImagePaths: number): Observable<String[]> {\n        return this.dkuHttp.request('POST', '/analysis/pml/get-random-image-paths', { projectKey, analysisId, mlTaskId, numImagePaths });\n    }\n\n    getAugmentedImages(projectKey: string, analysisId: string, mlTaskId: string, augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams,\n        imagePath: string, numAugmentedVersions: number, applyMaxTransform: boolean, augmentationType?: DataAugmentationService.AugmentationType): Observable<DataAugmentationService.AugmentedImage[]> {\n        return this.dkuHttp.request('POST', '/analysis/pml/get-augmented-images', { projectKey, analysisId, mlTaskId,\n            augmentationParams: JSON.stringify(augmentationParams), imagePath, numAugmentedVersions, augmentationType, applyMaxTransform});\n    }\n\n    refreshPMLImagesDataSample(projectKey: string, analysisId: string, mlTaskId: string, nbRows: number, filters?: any): Observable<SerializedMemTableV2> {\n        return this.dkuHttp.request('POST', '/analysis/pml/refresh-images-data-sample', { projectKey, analysisId, mlTaskId, nbRows, filters: JSON.stringify(filters) });\n    }\n\n    getPMLImagesDataChunk(projectKey: string, analysisId: string, mlTaskId: string, firstRow: number, nbRows?: number, filters?: any): Observable<SerializedTableChunk> {\n        return this.dkuHttp.request('POST', '/analysis/pml/get-images-data-chunk', { projectKey, analysisId, mlTaskId, firstRow, nbRows, filters: JSON.stringify(filters) });\n    }\n\n    refreshPredictedImagesDataSample(fullModelId: string, nbRows: number, filters?: any): Observable<SerializedMemTableV2> {\n        return this.dkuHttp.request('POST', '/analysis/predicted/refresh-images-data-sample', { fullModelId, nbRows, filters: JSON.stringify(filters) });\n    }\n\n    getPredictedImagesDataChunk(fullModelId: string, firstRow: number, nbRows: number, filters?: any): Observable<SerializedTableChunk> {\n        return this.dkuHttp.request('POST', '/analysis/predicted/get-images-data-chunk', { fullModelId, firstRow, nbRows, filters: JSON.stringify(filters) });\n    }\n\n}\n","import { DkuHttpService } from 'dku-frontend-core';\nimport { Observable } from 'rxjs';\nimport { Injectable } from '@angular/core';\nimport { Workspace } from 'src/generated-sources';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateWorkspacesAPI {\n\n    constructor(private dkuHttp: DkuHttpService) { }\n\n    list(accessLevel = \"READ\"): Observable<Workspace[]> {\n        return this.dkuHttp.request('GET', '/workspaces/list', { accessLevel });\n    }\n\n    get(workspaceKey: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/workspaces/get', { workspaceKey });\n    }\n\n    create(workspace: Workspace): Observable<any> {\n        return this.dkuHttp.request('POST', '/workspaces/create', { workspace });\n    }\n\n    update(workspace: Workspace): Observable<any> {\n        return this.dkuHttp.request('PUT', '/workspaces/update', { workspace });\n    }\n\n    save(workspace: Workspace): Observable<any> {\n        return this.dkuHttp.request('POST', '/workspaces/save', { workspace });\n    }\n\n    delete(workspaceKey: string): Observable<any> {\n        return this.dkuHttp.request('POST', '/workspaces/delete', { workspaceKey });\n    }\n\n    getObject(workspaceKey: string, objectKey: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/workspaces/get-object', { workspaceKey, objectKey });\n    }\n\n    addObjects(workspaceKey: string, workspaceObjects: Workspace.WorkspaceObject[]): Observable<Workspace> {\n        return this.dkuHttp.request('POST', '/workspaces/add-objects', { workspaceKey, workspaceObjects });\n    }\n\n    removeObjects(workspaceKey: string, objectsToRemove: Workspace.WorkspaceObject[]): Observable<Workspace> {\n        return this.dkuHttp.request('POST', '/workspaces/remove-objects', { workspaceKey, objectsToRemove });\n    }\n\n    timeline(workspaceKey: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/workspaces/timeline', { workspaceKey });\n    }\n}\n","import { DkuHttpService } from 'dku-frontend-core';\nimport { Observable } from 'rxjs';\nimport { Injectable } from '@angular/core';\n\n@Injectable({providedIn: 'root'})\nexport class PrivateSecurityAPI {\n\n    constructor(private dkuHttp: DkuHttpService) { }\n\n    listUsers(projectKey?: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/security/list-users', { projectKey });\n    }\n\n    listConnectedUsers(projectKey?: string): Observable<any> {\n        return this.dkuHttp.request('GET', '/security/list-connected-users', { projectKey });\n    }\n\n    listGroups(localOnly: boolean): Observable<string[]> {\n        return this.dkuHttp.request('GET', '/security/list-groups', { localOnly });\n    }\n\n    listGroupsFull(): Observable<any> {\n        return this.dkuHttp.request('GET', '/security/list-groups-full');\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { PrivateDatasetsAPI } from './definitions/private-datasets-api';\nimport { PrivateStatisticsAPI } from './definitions/private-statistics-api';\nimport { PrivateProjectsAPI } from './definitions/private-projects-api';\nimport { PrivateDashboardsAPI } from './definitions/private-dashboards-api';\nimport { PrivateTaggableObjectsAPI } from './definitions/private-taggable-objects-api';\nimport { PrivateAnalysisAPI } from './definitions/private-analysis-api';\nimport { PrivateFlowAPI } from './definitions/private-flow-api';\nimport { PrivateWorkspacesAPI } from './definitions/private-workspaces-api';\nimport { PrivateSecurityAPI } from './definitions/private-security-api';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class DataikuAPIService {\n    constructor(\n        public datasets: PrivateDatasetsAPI,\n        public statistics: PrivateStatisticsAPI,\n        public taggableObjects: PrivateTaggableObjectsAPI,\n        public projects: PrivateProjectsAPI,\n        public flow: PrivateFlowAPI,\n        public dashboards: PrivateDashboardsAPI,\n        public analysis: PrivateAnalysisAPI,\n        public workspaces: PrivateWorkspacesAPI,\n        public security: PrivateSecurityAPI,\n    ) { }\n}\n","/**\n * Generated from com.dataiku.dip.eda.worksheets.models.BinningMode\n */\nexport enum BinningMode {\n    AUTO = 'AUTO',\n    FIXED_NB = 'FIXED_NB',\n    FIXED_SIZE = 'FIXED_SIZE',\n    CUSTOM = 'CUSTOM'\n}","import {Curve, _Curve} from './curve';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.curves.IsotonicCurve\n */\nexport interface IsotonicCurve extends _Curve {\n    // PolyJson type\n    type: 'isotonic';\n}\n\nexport namespace IsotonicCurve {\n    export const type = 'isotonic';\n}\n\nexport function isIsotonicCurve(toTest: Curve): toTest is IsotonicCurve { return IsotonicCurve.type === toTest.type; }\n\nexport namespace IsotonicCurve {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.curves.IsotonicCurve$ParametrizedIsotonicCurve\n     */\n    export interface ParametrizedIsotonicCurve extends Curve._ParametrizedCurve {\n        // PolyJson type\n        type: 'isotonic';\n    }\n\n    export namespace ParametrizedIsotonicCurve {\n        export const type = 'isotonic';\n    }\n\n    export function isParametrizedIsotonicCurve(toTest: Curve.ParametrizedCurve): toTest is ParametrizedIsotonicCurve { return ParametrizedIsotonicCurve.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\nexport namespace Spearman {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Spearman$SpearmanResult\n     */\n    export interface SpearmanResult extends _AvailableResult {\n        correlation: number;\n        pvalue: number;\n\n        // PolyJson type\n        type: 'spearman';\n    }\n\n    export namespace SpearmanResult {\n        export const type = 'spearman';\n    }\n\n    export function isSpearmanResult(toTest: ComputationResult): toTest is SpearmanResult { return SpearmanResult.type === toTest.type; }\n}\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Spearman\n */\nexport interface Spearman extends Computation._BivariateComputation {\n    // PolyJson type\n    type: 'spearman';\n}\n\nexport namespace Spearman {\n    export const type = 'spearman';\n}\n\nexport function isSpearman(toTest: Computation): toTest is Spearman { return Spearman.type === toTest.type; }","import {PredictionPreprocessingParams} from './prediction-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams\n */\nexport interface ClassicalPredictionPreprocessingParams extends PredictionPreprocessingParams {\n    feature_selection_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams;\n    preprocessingFitSampleRatio: number;\n    preprocessingFitSampleSeed: number;\n}\n\nexport namespace ClassicalPredictionPreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionMethod\n     */\n    export enum FeatureSelectionMethod {\n        NONE = 'NONE',\n        RANDOM_FOREST = 'RANDOM_FOREST',\n        LASSO = 'LASSO',\n        CORRELATION = 'CORRELATION',\n        PCA = 'PCA',\n        CUSTOM = 'CUSTOM'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams\n     */\n    export interface FeatureSelectionParams {\n        correlation_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams.CorrelationParams;\n        custom_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams.CustomParams;\n        lasso_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams.LassoParams;\n        method: ClassicalPredictionPreprocessingParams.FeatureSelectionMethod;\n        pca_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams.PCAParams;\n        random_forest_params: ClassicalPredictionPreprocessingParams.FeatureSelectionParams.RandomForestParams;\n    }\n}\n\nexport namespace ClassicalPredictionPreprocessingParams.FeatureSelectionParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$LassoParams\n     */\n    export interface LassoParams {\n        alpha: number[];\n        cross_validate: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$CorrelationParams\n     */\n    export interface CorrelationParams {\n        max_abs_correlation: number;\n        min_abs_correlation: number;\n        n_features: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$RandomForestParams\n     */\n    export interface RandomForestParams {\n        depth: number;\n        n_features: number;\n        n_trees: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$CustomParams\n     */\n    export interface CustomParams {\n        code: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$PCAParams\n     */\n    export interface PCAParams {\n        n_features: number;\n        variance_proportion: number;\n    }\n}","import {Card} from './../card';\nimport {PValueAdjustmentMethod} from './../../../compute/stats/pvalue-adjustment-method';\nimport {PairwiseMoodTestCard} from './../pairwise-mood-test-card';\nimport {PairwiseTTestCard} from './../pairwise-ttest-card';\nimport {_AbstractNSampTestCard} from './abstract-nsamp-test-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractPairwiseTestCard\n */\nexport interface _AbstractPairwiseTestCard extends _AbstractNSampTestCard {\n    adjustmentMethod: PValueAdjustmentMethod;\n}\n\nexport type AbstractPairwiseTestCard = PairwiseTTestCard | PairwiseMoodTestCard;\n\nexport namespace AbstractPairwiseTestCard {\n    export const type = [\"pairwise_ttest\" , \"pairwise_mood\"] as const;\n}\n\nexport function isAbstractPairwiseTestCard(toTest: Card): toTest is AbstractPairwiseTestCard { return (AbstractPairwiseTestCard.type as readonly unknown[]).includes(toTest.type); }","import {EnsembleParams} from './ensemble-params';\nimport {MetricParams} from './metric-params';\nimport {PredictionModelingParams} from './prediction-modeling-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.PreTrainPredictionModelingParams\n */\nexport interface PreTrainPredictionModelingParams {\n    algorithm: PreTrainPredictionModelingParams.Algorithm;\n    autoOptimizeThreshold: boolean;\n    computeLearningCurves: boolean;\n    custom_mllib_grid: PredictionModelingParams.MLLibCustomGridParams;\n    custom_python: PredictionModelingParams.CustomPythonParams;\n    deep_learning_sparkling_grid: PredictionModelingParams.H2ODeepLearningGridParams;\n    dtc_classifier_grid: PredictionModelingParams.DecisionTreeHyperparametersSpace;\n    ensemble_params: EnsembleParams;\n    extra_trees_grid: PredictionModelingParams.RandomForestHyperparametersSpace;\n    forcedClassifierThreshold: number;\n    gbm_sparkling_grid: PredictionModelingParams.H2OGBMGridParams;\n    gbt_classifier_grid: PredictionModelingParams.GBTClassificationHyperparametersSpace;\n    gbt_regressor_grid: PredictionModelingParams.GBTRegressionHyperparametersSpace;\n    glm_sparkling_grid: PredictionModelingParams.H2OGLMGridParams;\n    gridLength: number;\n    grid_search_params: PredictionModelingParams.GridSearchParams;\n    keras: PredictionModelingParams.KerasCodeParams;\n    knn_grid: PredictionModelingParams.KNNHyperparametersSpace;\n    lars_grid: PredictionModelingParams.LarsHyperparametersSpace;\n    lasso_grid: PredictionModelingParams.LassoHyperparametersSpace;\n    least_squares_grid: PredictionModelingParams.LeastSquareHyperparametersSpace;\n    lightgbm_classification_grid: PredictionModelingParams.LightGBMHyperParametersSpace;\n    lightgbm_regression_grid: PredictionModelingParams.LightGBMHyperParametersSpace;\n    logit_grid: PredictionModelingParams.LogisticRegressionHyperparametersSpace;\n    max_ensemble_nodes_serialized: number;\n    metrics: MetricParams;\n    mllib_dt_grid: PredictionModelingParams.MLLibDecisionTreeGridParams;\n    mllib_gbt_grid: PredictionModelingParams.MLLibTreesEnsembleGridParams;\n    mllib_linreg_grid: PredictionModelingParams.MLLibLinearRegressionGridParams;\n    mllib_logit_grid: PredictionModelingParams.MLLibLogisticRegressionGridParams;\n    mllib_naive_bayes_grid: PredictionModelingParams.MLLibNaiveBayesGridParams;\n    mllib_rf_grid: PredictionModelingParams.MLLibTreesEnsembleGridParams;\n    nb_sparkling_grid: PredictionModelingParams.H2ONaiveBayesGridParams;\n    neural_network_grid: PredictionModelingParams.NeuralNetworkHyperparametersSpace;\n    pluginAlgoCustomGridSearch: boolean;\n    plugin_python_grid: PredictionModelingParams.CustomPythonPluginParams;\n    rf_classifier_grid: PredictionModelingParams.RandomForestHyperparametersSpace;\n    rf_regressor_grid: PredictionModelingParams.RandomForestHyperparametersSpace;\n    rf_sparkling_grid: PredictionModelingParams.H2ORandomForestGridParams;\n    ridge_grid: PredictionModelingParams.RidgeRegressionHyperparametersSpace;\n    sgd_grid: PredictionModelingParams.SGDClassificationHyperparametersSpace;\n    sgd_reg_grid: PredictionModelingParams.SGDRegressionHyperparametersSpace;\n    skipExpensiveReports: boolean;\n    svc_grid: PredictionModelingParams.SVMHyperparametersSpace;\n    svr_grid: PredictionModelingParams.SVMHyperparametersSpace;\n    vertica_linreg_grid: PredictionModelingParams.VerticaLinearRegParams;\n    vertica_logit_grid: PredictionModelingParams.VerticaLogisticRegParams;\n    xgboost_grid: PredictionModelingParams.XGBoostHyperparametersSpace;\n}\n\nexport namespace PreTrainPredictionModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PreTrainPredictionModelingParams$Algorithm\n     */\n    export enum Algorithm {\n        PYTHON_ENSEMBLE = 'PYTHON_ENSEMBLE',\n        SPARK_ENSEMBLE = 'SPARK_ENSEMBLE',\n        RANDOM_FOREST_CLASSIFICATION = 'RANDOM_FOREST_CLASSIFICATION',\n        EXTRA_TREES = 'EXTRA_TREES',\n        CUSTOM_PLUGIN = 'CUSTOM_PLUGIN',\n        SCIKIT_MODEL = 'SCIKIT_MODEL',\n        RANDOM_FOREST_REGRESSION = 'RANDOM_FOREST_REGRESSION',\n        RIDGE_REGRESSION = 'RIDGE_REGRESSION',\n        LASSO_REGRESSION = 'LASSO_REGRESSION',\n        LEASTSQUARE_REGRESSION = 'LEASTSQUARE_REGRESSION',\n        LOGISTIC_REGRESSION = 'LOGISTIC_REGRESSION',\n        SVC_CLASSIFICATION = 'SVC_CLASSIFICATION',\n        SVM_REGRESSION = 'SVM_REGRESSION',\n        SGD_CLASSIFICATION = 'SGD_CLASSIFICATION',\n        SGD_REGRESSION = 'SGD_REGRESSION',\n        GBT_CLASSIFICATION = 'GBT_CLASSIFICATION',\n        GBT_REGRESSION = 'GBT_REGRESSION',\n        DECISION_TREE_CLASSIFICATION = 'DECISION_TREE_CLASSIFICATION',\n        DECISION_TREE_REGRESSION = 'DECISION_TREE_REGRESSION',\n        KNN = 'KNN',\n        NEURAL_NETWORK = 'NEURAL_NETWORK',\n        LARS = 'LARS',\n        LIGHTGBM_CLASSIFICATION = 'LIGHTGBM_CLASSIFICATION',\n        LIGHTGBM_REGRESSION = 'LIGHTGBM_REGRESSION',\n        XGBOOST_CLASSIFICATION = 'XGBOOST_CLASSIFICATION',\n        XGBOOST_REGRESSION = 'XGBOOST_REGRESSION',\n        KERAS_CODE = 'KERAS_CODE',\n        SPARKLING_DEEP_LEARNING = 'SPARKLING_DEEP_LEARNING',\n        SPARKLING_GBM = 'SPARKLING_GBM',\n        SPARKLING_RF = 'SPARKLING_RF',\n        SPARKLING_GLM = 'SPARKLING_GLM',\n        SPARKLING_NB = 'SPARKLING_NB',\n        MLLIB_LOGISTIC_REGRESSION = 'MLLIB_LOGISTIC_REGRESSION',\n        MLLIB_DECISION_TREE = 'MLLIB_DECISION_TREE',\n        MLLIB_LINEAR_REGRESSION = 'MLLIB_LINEAR_REGRESSION',\n        MLLIB_RANDOM_FOREST = 'MLLIB_RANDOM_FOREST',\n        MLLIB_NAIVE_BAYES = 'MLLIB_NAIVE_BAYES',\n        MLLIB_GBT = 'MLLIB_GBT',\n        MLLIB_CUSTOM = 'MLLIB_CUSTOM',\n        VERTICA_LINEAR_REGRESSION = 'VERTICA_LINEAR_REGRESSION',\n        VERTICA_LOGISTIC_REGRESSION = 'VERTICA_LOGISTIC_REGRESSION',\n        VIRTUAL_MLFLOW_PYFUNC = 'VIRTUAL_MLFLOW_PYFUNC'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Sem\n */\nexport interface Sem extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'sem';\n}\n\nexport namespace Sem {\n    export const type = 'sem';\n}\n\nexport function isSem(toTest: Computation): toTest is Sem { return Sem.type === toTest.type; }\n\nexport namespace Sem {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Sem$SemResult\n     */\n    export interface SemResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'sem';\n    }\n\n    export namespace SemResult {\n        export const type = 'sem';\n    }\n\n    export function isSemResult(toTest: ComputationResult): toTest is SemResult { return SemResult.type === toTest.type; }\n}","export namespace ITaggingService {\n    /**\n     * Generated from com.dataiku.dip.server.services.ITaggingService$TaggableType\n     */\n    export enum TaggableType {\n        PROJECT = 'PROJECT',\n        FLOW_ZONE = 'FLOW_ZONE',\n        DATASET = 'DATASET',\n        RECIPE = 'RECIPE',\n        SQL_NOTEBOOK = 'SQL_NOTEBOOK',\n        JUPYTER_NOTEBOOK = 'JUPYTER_NOTEBOOK',\n        ANALYSIS = 'ANALYSIS',\n        SAVED_MODEL = 'SAVED_MODEL',\n        MODEL_EVALUATION_STORE = 'MODEL_EVALUATION_STORE',\n        INSIGHT = 'INSIGHT',\n        MANAGED_FOLDER = 'MANAGED_FOLDER',\n        LAMBDA_SERVICE = 'LAMBDA_SERVICE',\n        SCENARIO = 'SCENARIO',\n        DASHBOARD = 'DASHBOARD',\n        WEB_APP = 'WEB_APP',\n        REPORT = 'REPORT',\n        STREAMING_ENDPOINT = 'STREAMING_ENDPOINT',\n        ARTICLE = 'ARTICLE',\n        STATISTICS_WORKSHEET = 'STATISTICS_WORKSHEET',\n        WORKSPACE = 'WORKSPACE',\n        MODEL_COMPARISON = 'MODEL_COMPARISON',\n        API_DEPLOYER_INFRA = 'API_DEPLOYER_INFRA',\n        API_DEPLOYER_SERVICE = 'API_DEPLOYER_SERVICE',\n        API_DEPLOYER_DEPLOYMENT = 'API_DEPLOYER_DEPLOYMENT',\n        PROJECT_DEPLOYER_INFRA = 'PROJECT_DEPLOYER_INFRA',\n        PROJECT_DEPLOYER_PROJECT = 'PROJECT_DEPLOYER_PROJECT',\n        PROJECT_DEPLOYER_DEPLOYMENT = 'PROJECT_DEPLOYER_DEPLOYMENT',\n        WORKSPACE_LINK = 'WORKSPACE_LINK'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.ZTest1Samp\n */\nexport interface ZTest1Samp extends Computation._UnivariateComputation {\n    hypothesizedMean: number;\n    knownStdDev: number;\n\n    // PolyJson type\n    type: 'ztest_1samp';\n}\n\nexport namespace ZTest1Samp {\n    export const type = 'ztest_1samp';\n}\n\nexport function isZTest1Samp(toTest: Computation): toTest is ZTest1Samp { return ZTest1Samp.type === toTest.type; }\n\nexport namespace ZTest1Samp {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.ZTest1Samp$ZTest1SampResult\n     */\n    export interface ZTest1SampResult extends _AvailableResult {\n        pvalue: number;\n        pvalueAltGt: number;\n        pvalueAltLt: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ztest_1samp';\n    }\n\n    export namespace ZTest1SampResult {\n        export const type = 'ztest_1samp';\n    }\n\n    export function isZTest1SampResult(toTest: ComputationResult): toTest is ZTest1SampResult { return ZTest1SampResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {Series} from './common/series';\nimport {SplitBySpec} from './../models/split-by-spec';\nimport {_MultivariateCard} from './multivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard\n */\nexport interface ParallelCoordinatesPlotCard extends _MultivariateCard {\n    colorBy?: SplitBySpec | null;\n    highlightFilter?: Filter | null;\n    maxNumberOfPoints: number;\n\n    // PolyJson type\n    type: 'parallel_coordinates_plot';\n}\n\nexport namespace ParallelCoordinatesPlotCard {\n    export const type = 'parallel_coordinates_plot';\n}\n\nexport function isParallelCoordinatesPlotCard(toTest: Card): toTest is ParallelCoordinatesPlotCard { return ParallelCoordinatesPlotCard.type === toTest.type; }\n\nexport namespace ParallelCoordinatesPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard$ParallelCoordinatesPlotCardResult\n     */\n    export interface ParallelCoordinatesPlotCardResult extends _CardResult {\n        groups: Filter[];\n        parallelCoordinates: ParallelCoordinatesPlotCard.ParallelCoordinates[];\n\n        // PolyJson type\n        type: 'parallel_coordinates_plot';\n    }\n\n    export namespace ParallelCoordinatesPlotCardResult {\n        export const type = 'parallel_coordinates_plot';\n    }\n\n    export function isParallelCoordinatesPlotCardResult(toTest: CardResult): toTest is ParallelCoordinatesPlotCardResult { return ParallelCoordinatesPlotCardResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard$ParallelCoordinates\n     */\n    export interface ParallelCoordinates {\n        columnSeries: Series[];\n        groupIndex: number;\n        isHighlighted: boolean;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Mean\n */\nexport interface Mean extends Computation._UnivariateComputation {\n    confidence?: number | null;\n\n    // PolyJson type\n    type: 'mean';\n}\n\nexport namespace Mean {\n    export const type = 'mean';\n}\n\nexport function isMean(toTest: Computation): toTest is Mean { return Mean.type === toTest.type; }\n\nexport namespace Mean {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Mean$MeanResult\n     */\n    export interface MeanResult extends _AvailableResult {\n        lower?: number | null;\n        upper?: number | null;\n        value: number;\n\n        // PolyJson type\n        type: 'mean';\n    }\n\n    export namespace MeanResult {\n        export const type = 'mean';\n    }\n\n    export function isMeanResult(toTest: ComputationResult): toTest is MeanResult { return MeanResult.type === toTest.type; }\n}","import {PredictionModelingParams} from './prediction/prediction-modeling-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams\n */\nexport interface ClusteringModelingParams {\n    custom_mllib: PredictionModelingParams.MLLibCustomGridParams[];\n    custom_python: ClusteringModelingParams.ClusteringCustomPythonParams[];\n    db_scan_clustering: ClusteringModelingParams.DBScanParams;\n    gmm_clustering: ClusteringModelingParams.GMMParams;\n    h2o_kmeans: ClusteringModelingParams.H2OKMeansModelingParams;\n    isolation_forest: ClusteringModelingParams.IsolationForestParams;\n    kmeans_clustering: ClusteringModelingParams.KMeansParams;\n    metrics: ClusteringModelingParams.MetricParams;\n    mini_batch_kmeans_clustering: ClusteringModelingParams.MiniBatchKMeansParams;\n    mllib_gaussian_mixture_clustering: ClusteringModelingParams.MLLibGaussianMixtureParams;\n    mllib_kmeans_clustering: ClusteringModelingParams.MLLibKMeansParams;\n    spectral_clustering: ClusteringModelingParams.SpectralParams;\n    two_step: ClusteringModelingParams.TwoStepParams;\n    vertica_kmeans_clustering: ClusteringModelingParams.VerticaKMeansParams;\n    ward_clustering: ClusteringModelingParams.WardParams;\n}\n\nexport namespace ClusteringModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$EvaluationMetric\n     */\n    export enum EvaluationMetric {\n        SILHOUETTE = 'SILHOUETTE',\n        INERTIA = 'INERTIA',\n        NB_CLUSTERS = 'NB_CLUSTERS',\n        CUSTOM = 'CUSTOM'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$KMeansParams\n     */\n    export interface KMeansParams {\n        enabled: boolean;\n        k: number[];\n        n_jobs: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$SpectralParams\n     */\n    export interface SpectralParams {\n        affinity_nearest_neighbors: boolean;\n        affinity_polynomial: boolean;\n        affinity_rbf: boolean;\n        affinity_sigmoid: boolean;\n        coef0: number;\n        enabled: boolean;\n        gamma: number[];\n        k: number[];\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$GMMParams\n     */\n    export interface GMMParams {\n        enabled: boolean;\n        k: number[];\n        max_iterations: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$MLLibGaussianMixtureParams\n     */\n    export interface MLLibGaussianMixtureParams {\n        enabled: boolean;\n        k: number[];\n        max_iterations: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$H2OKMeansModelingParams\n     */\n    export interface H2OKMeansModelingParams {\n        enabled: boolean;\n        init: string;\n        k: number[];\n        max_iterations: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$VerticaKMeansParams\n     */\n    export interface VerticaKMeansParams {\n        description: string;\n        enabled: boolean;\n        epsilon: number[];\n        k: number[];\n        max_iterations: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$MetricParams\n     */\n    export interface MetricParams {\n        customEvaluationMetricCode: string;\n        customEvaluationMetricGIB: boolean;\n        evaluationMetric: ClusteringModelingParams.EvaluationMetric;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$ClusteringCustomPythonParams\n     */\n    export interface ClusteringCustomPythonParams {\n        code: string;\n        custom_has_k: boolean;\n        enabled: boolean;\n        k: number[];\n        name: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$WardParams\n     */\n    export interface WardParams {\n        enabled: boolean;\n        k: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$MLLibKMeansParams\n     */\n    export interface MLLibKMeansParams {\n        enabled: boolean;\n        k: number[];\n        max_iterations: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$MiniBatchKMeansParams\n     */\n    export interface MiniBatchKMeansParams {\n        enabled: boolean;\n        k: number[];\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$IsolationForestParams\n     */\n    export interface IsolationForestParams {\n        bootstrap: boolean;\n        contamination: number;\n        enabled: boolean;\n        k: number;\n        max_anomalies: number;\n        max_depth: number;\n        max_features: number;\n        max_samples: number;\n        n_estimators: number;\n        n_samples: number;\n        seed: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$DBScanParams\n     */\n    export interface DBScanParams {\n        enabled: boolean;\n        epsilon: number[];\n        min_sample_ratio: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ClusteringModelingParams$TwoStepParams\n     */\n    export interface TwoStepParams {\n        enabled: boolean;\n        kmeans_k: number;\n        max_iterations: number;\n        n_clusters: number;\n        seed: number;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Grouping} from './../../grouping/grouping';\nimport {PValueAdjustmentMethod} from './../../stats/pvalue-adjustment-method';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.PairwiseMoodTest\n */\nexport interface PairwiseMoodTest extends Computation._UnivariateComputation {\n    adjustmentMethod: PValueAdjustmentMethod;\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'pairwise_mood_test';\n}\n\nexport namespace PairwiseMoodTest {\n    export const type = 'pairwise_mood_test';\n}\n\nexport function isPairwiseMoodTest(toTest: Computation): toTest is PairwiseMoodTest { return PairwiseMoodTest.type === toTest.type; }\n\nexport namespace PairwiseMoodTest {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.PairwiseMoodTest$PairwiseMoodTestResult\n     */\n    export interface PairwiseMoodTestResult extends _AvailableResult {\n        pvalues: number[];\n        statistics: number[];\n\n        // PolyJson type\n        type: 'pairwise_mood_test';\n    }\n\n    export namespace PairwiseMoodTestResult {\n        export const type = 'pairwise_mood_test';\n    }\n\n    export function isPairwiseMoodTestResult(toTest: ComputationResult): toTest is PairwiseMoodTestResult { return PairwiseMoodTestResult.type === toTest.type; }\n}","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.MissingValueFilter\n */\nexport interface MissingValueFilter extends _Filter {\n    column: string;\n\n    // PolyJson type\n    type: 'missing';\n}\n\nexport namespace MissingValueFilter {\n    export const type = 'missing';\n}\n\nexport function isMissingValueFilter(toTest: Filter): toTest is MissingValueFilter { return MissingValueFilter.type === toTest.type; }","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Variance\n */\nexport interface Variance extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'variance';\n}\n\nexport namespace Variance {\n    export const type = 'variance';\n}\n\nexport function isVariance(toTest: Computation): toTest is Variance { return Variance.type === toTest.type; }\n\nexport namespace Variance {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Variance$VarianceResult\n     */\n    export interface VarianceResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'variance';\n    }\n\n    export namespace VarianceResult {\n        export const type = 'variance';\n    }\n\n    export function isVarianceResult(toTest: ComputationResult): toTest is VarianceResult { return VarianceResult.type === toTest.type; }\n}","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.IntervalFilter\n */\nexport interface IntervalFilter extends _Filter {\n    closed: IntervalFilter.ClosedMode;\n    column: string;\n    left: number;\n    right: number;\n\n    // PolyJson type\n    type: 'interval';\n}\n\nexport namespace IntervalFilter {\n    export const type = 'interval';\n}\n\nexport function isIntervalFilter(toTest: Filter): toTest is IntervalFilter { return IntervalFilter.type === toTest.type; }\n\nexport namespace IntervalFilter {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.filtering.IntervalFilter$ClosedMode\n     */\n    export enum ClosedMode {\n        LEFT = 'LEFT',\n        RIGHT = 'RIGHT',\n        BOTH = 'BOTH',\n        NEITHER = 'NEITHER'\n    }\n}","import {Filter} from './../../../compute/filtering/filter';\n\nexport namespace SummaryCardBuilder {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.SummaryCardBuilder$ComputedStatType\n     */\n    export enum ComputedStatType {\n        FILTERS = 'FILTERS',\n        FLOAT = 'FLOAT',\n        INT = 'INT',\n        FAILURE = 'FAILURE',\n        NOT_COMPUTED = 'NOT_COMPUTED'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.SummaryCardBuilder$ComputedStat\n     */\n    export interface ComputedStat {\n        failureMessage?: string | null;\n        filterValues?: Filter[] | null;\n        flagName: string;\n        floatValue?: number | null;\n        fullLabel: string;\n        intValue?: number | null;\n        lower?: number | null;\n        pvalue?: number | null;\n        shortLabel: string;\n        type: SummaryCardBuilder.ComputedStatType;\n        upper?: number | null;\n        warning?: string | null;\n    }\n}","import {ACFPlotCard} from './acfplot-card';\nimport {BoxPlotFragment} from './fragments/box-plot-fragment';\nimport {Card, _Card} from './card';\nimport {CardResult, _CardResult} from './card-result';\nimport {DurbinWatsonCard} from './durbin-watson-card';\nimport {MannKendallTestCard} from './mann-kendall-test-card';\nimport {TimeInfoFragment} from './fragments/time-info-fragment';\nimport {UnitRootTestADFCard} from './unit-root-test-adfcard';\nimport {UnitRootTestKPSSCard} from './unit-root-test-kpsscard';\nimport {UnitRootTestZACard} from './unit-root-test-zacard';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.TimeSeriesCard\n */\nexport interface _TimeSeriesCard extends _Card {\n    seriesColumn: Variable;\n    seriesIdentifiers: TimeSeriesCard.TimeSeriesIdentifier[];\n    timeColumn: Variable;\n}\n\nexport type TimeSeriesCard = UnitRootTestADFCard | UnitRootTestKPSSCard | DurbinWatsonCard | UnitRootTestZACard | ACFPlotCard | MannKendallTestCard;\n\nexport namespace TimeSeriesCard {\n    export const type = [\"unit_root_test_adf\" , \"unit_root_test_kpss\" , \"durbin_watson\" , \"unit_root_test_za\" , \"acf_plot\" , \"mann_kendall_test\"] as const;\n}\n\nexport function isTimeSeriesCard(toTest: Card): toTest is TimeSeriesCard { return (TimeSeriesCard.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace TimeSeriesCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.TimeSeriesCard$TimeSeriesCardResult\n     */\n    export interface _TimeSeriesCardResult extends _CardResult {\n        boxPlot: BoxPlotFragment;\n        timeInfo: TimeInfoFragment;\n    }\n\n    export type TimeSeriesCardResult = UnitRootTestADFCard.UnitRootTestADFCardResult | MannKendallTestCard.MannKendallTestCardResult | ACFPlotCard.ACFPlotCardResult | DurbinWatsonCard.DurbinWatsonCardResult | UnitRootTestKPSSCard.UnitRootTestKPSSCardResult | UnitRootTestZACard.UnitRootTestZACardResult;\n\n    export namespace TimeSeriesCardResult {\n        export const type = [\"unit_root_test_adf\" , \"mann_kendall_test\" , \"acf_plot\" , \"durbin_watson\" , \"unit_root_test_kpss\" , \"unit_root_test_za\"] as const;\n    }\n\n    export function isTimeSeriesCardResult(toTest: CardResult): toTest is TimeSeriesCardResult { return (TimeSeriesCardResult.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.TimeSeriesCard$TimeSeriesIdentifier\n     */\n    export interface TimeSeriesIdentifier {\n        column: Variable;\n        value: string;\n    }\n}","import {ACFPlotCard} from './acfplot-card';\nimport {BivariateBoxPlotCard} from './bivariate_header/bivariate-box-plot-card';\nimport {BivariateFrequencyTableCard} from './bivariate_header/bivariate-frequency-table-card';\nimport {BivariateHeaderCard} from './bivariate_header/bivariate-header-card';\nimport {BivariateHistogramCard} from './bivariate_header/bivariate-histogram-card';\nimport {BivariateSummaryStatsCard} from './bivariate_header/bivariate-summary-stats-card';\nimport {CDFPlotCard} from './cdfplot-card';\nimport {CategoricalHistogramCard} from './univariate_header/categorical-histogram-card';\nimport {Chi2IndTestCard} from './chi2-ind-test-card';\nimport {ColumnCard} from './common/column-card';\nimport {CorrelationMatrixCard} from './correlation-matrix-card';\nimport {DurbinWatsonCard} from './durbin-watson-card';\nimport {EdaErrorCodes} from './../../eda-error-codes';\nimport {Fit2DDistributionCard} from './fit2-ddistribution-card';\nimport {FitCurveCard} from './fit-curve-card';\nimport {FitDistributionCard} from './fit-distribution-card';\nimport {GroupedCompiledCardWrapper} from './common/grouped-compiled-card-wrapper';\nimport {KsTest2SampCard} from './ks-test2-samp-card';\nimport {MannKendallTestCard} from './mann-kendall-test-card';\nimport {MoodTest2SampCard} from './mood-test2-samp-card';\nimport {MoodTestNSampCard} from './mood-test-nsamp-card';\nimport {MosaicPlotCard} from './bivariate_header/mosaic-plot-card';\nimport {NumericalHistogramCard} from './univariate_header/numerical-histogram-card';\nimport {OneWayANOVACard} from './one-way-anovacard';\nimport {PCACard} from './pcacard';\nimport {PairwiseMoodTestCard} from './pairwise-mood-test-card';\nimport {PairwiseTTestCard} from './pairwise-ttest-card';\nimport {ParallelCoordinatesPlotCard} from './parallel-coordinates-plot-card';\nimport {PlaygroundCard} from './playground-card';\nimport {QuantilesTableCard} from './univariate_header/quantiles-table-card';\nimport {ScatterPlot3DCard} from './scatter-plot3-dcard';\nimport {ScatterPlotCard} from './bivariate_header/scatter-plot-card';\nimport {ShapiroNormalityTestCard} from './shapiro-normality-test-card';\nimport {SignTest1SampCard} from './sign-test1-samp-card';\nimport {TTest2SampCard} from './ttest2-samp-card';\nimport {TZTest1SampCard} from './tztest1-samp-card';\nimport {UnitRootTestADFCard} from './unit-root-test-adfcard';\nimport {UnitRootTestKPSSCard} from './unit-root-test-kpsscard';\nimport {UnitRootTestZACard} from './unit-root-test-zacard';\nimport {UnivariateFrequencyTableCard} from './univariate_header/univariate-frequency-table-card';\nimport {UnivariateHeaderCard} from './univariate_header/univariate-header-card';\nimport {UnivariateSummaryStatsCard} from './univariate_header/univariate-summary-stats-card';\nimport {WorksheetRootCard} from './worksheet-root-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.CardResult\n */\nexport interface _CardResult {\n    computationCount: number;\n    failedComputationsCount: number;\n    notComputedCount: number;\n    warnings?: string[] | null;\n}\n\nexport type CardResult = MosaicPlotCard.MosaicPlotCardResult | CardResult.UnavailableCardResult | ACFPlotCard.ACFPlotCardResult | CDFPlotCard.CDFPlotCardResult | MannKendallTestCard.MannKendallTestCardResult | DurbinWatsonCard.DurbinWatsonCardResult | PairwiseMoodTestCard.PairwiseMoodTestCardResult | FitCurveCard.FitCurveCardResult | PairwiseTTestCard.PairwiseTTestCardResult | SignTest1SampCard.SignTest1SampCardResult | UnitRootTestKPSSCard.UnitRootTestKPSSCardResult | PlaygroundCard.PlaygroundCardResult | BivariateHistogramCard.BivariateHistogramCardResult | BivariateHeaderCard.BivariateHeaderCardResult | CategoricalHistogramCard.CategoricalHistogramCardResult | KsTest2SampCard.KsTest2SampCardResult | OneWayANOVACard.OneWayANOVACardResult | PCACard.PCACardResult | ParallelCoordinatesPlotCard.ParallelCoordinatesPlotCardResult | BivariateFrequencyTableCard.BivariateFrequencyTableCardResult | ScatterPlotCard.ScatterPlotCardResult | UnitRootTestZACard.UnitRootTestZACardResult | BivariateSummaryStatsCard.BivariateSummaryStatsCardResult | Fit2DDistributionCard.Fit2DDistributionCardResult | BivariateBoxPlotCard.BivariateBoxPlotCardResult | MoodTestNSampCard.MoodTestNSampCardResult | UnitRootTestADFCard.UnitRootTestADFCardResult | UnivariateSummaryStatsCard.UnivariateSummaryStatsCardResult | CorrelationMatrixCard.CorrelationMatrixCardResult | TZTest1SampCard.TZTest1SampCardResult | Chi2IndTestCard.Chi2IndTestCardResult | ShapiroNormalityTestCard.ShapiroNormalityTestCardResult | GroupedCompiledCardWrapper.GroupedCardResult | ColumnCard.ColumnCardResult | FitDistributionCard.FitDistributionCardResult | UnivariateHeaderCard.UnivariateHeaderCardResult | MoodTest2SampCard.MoodTest2SampCardResult | TTest2SampCard.TTest2SampCardResult | QuantilesTableCard.QuantilesTableCardResult | ScatterPlot3DCard.ScatterPlot3DCardResult | NumericalHistogramCard.NumericalHistogramCardResult | UnivariateFrequencyTableCard.UnivariateFrequencyTableCardResult | WorksheetRootCard.WorksheetRootCardResult;\n\nexport namespace CardResult {\n    export const type = [\"mosaic_plot\" , \"unavailable\" , \"acf_plot\" , \"cdf_plot\" , \"mann_kendall_test\" , \"durbin_watson\" , \"pairwise_mood\" , \"fit_curve\" , \"pairwise_ttest\" , \"sign_test_1samp\" , \"unit_root_test_kpss\" , \"playground\" , \"bivariate_histogram\" , \"bivariate_header\" , \"categorical_histogram\" , \"ks_test_2samp\" , \"oneway_anova\" , \"pca\" , \"parallel_coordinates_plot\" , \"bivariate_frequency_table\" , \"scatter_plot\" , \"unit_root_test_za\" , \"bivariate_summary\" , \"fit_2d_distribution\" , \"bivariate_box_plot\" , \"mood_nsamp\" , \"unit_root_test_adf\" , \"univariate_summary\" , \"correlation_matrix\" , \"ttest_ztest_1samp\" , \"chi2_independence_test\" , \"shapiro\" , \"groups\" , \"column_card\" , \"fit_distribution\" , \"univariate_header\" , \"mood_test_2samp\" , \"ttest_2samp\" , \"quantile_table\" , \"scatter_plot_3d\" , \"numerical_histogram\" , \"univariate_frequency_table\" , \"worksheet_root\"] as const;\n}\n\nexport namespace CardResult {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CardResult$UnavailableCardResult\n     */\n    export interface UnavailableCardResult extends _CardResult {\n        code?: EdaErrorCodes | null;\n        message?: string | null;\n        reason: CardResult.UnavailabilityReason;\n\n        // PolyJson type\n        type: 'unavailable';\n    }\n\n    export namespace UnavailableCardResult {\n        export const type = 'unavailable';\n    }\n\n    export function isUnavailableCardResult(toTest: CardResult): toTest is UnavailableCardResult { return UnavailableCardResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.CardResult$UnavailabilityReason\n     */\n    export enum UnavailabilityReason {\n        NOT_COMPUTED = 'NOT_COMPUTED',\n        FAILURE = 'FAILURE'\n    }\n}","import {Distribution2D, _Distribution2D} from './distribution2-d';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.KDE2D\n */\nexport interface KDE2D extends _Distribution2D {\n    x_relative_bandwidth: number;\n    y_relative_bandwidth: number;\n\n    // PolyJson type\n    type: 'kde_2d';\n}\n\nexport namespace KDE2D {\n    export const type = 'kde_2d';\n}\n\nexport function isKDE2D(toTest: Distribution2D): toTest is KDE2D { return KDE2D.type === toTest.type; }\n\nexport namespace KDE2D {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.KDE2D$FittedKDE2D\n     */\n    export interface FittedKDE2D extends Distribution2D._FittedDistribution2D {\n        // PolyJson type\n        type: 'kde_2d';\n    }\n\n    export namespace FittedKDE2D {\n        export const type = 'kde_2d';\n    }\n\n    export function isFittedKDE2D(toTest: Distribution2D.FittedDistribution2D): toTest is FittedKDE2D { return FittedKDE2D.type === toTest.type; }\n}","import {JointNormal} from './joint-normal';\nimport {KDE2D} from './kde2-d';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Distribution2D\n */\nexport interface _Distribution2D {}\n\nexport type Distribution2D = KDE2D | JointNormal;\n\nexport namespace Distribution2D {\n    export const type = [\"kde_2d\" , \"joint_normal\"] as const;\n}\n\nexport namespace Distribution2D {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Distribution2D$FittedDistribution2D\n     */\n    export interface _FittedDistribution2D {}\n\n    export type FittedDistribution2D = JointNormal.FittedJointNormal | KDE2D.FittedKDE2D;\n\n    export namespace FittedDistribution2D {\n        export const type = [\"joint_normal\" , \"kde_2d\"] as const;\n    }\n\n    export function isFittedDistribution2D(toTest: Distribution2D.FittedDistribution2D): toTest is FittedDistribution2D { return (FittedDistribution2D.type as readonly unknown[]).includes(toTest.type); }\n}","import {Abstract2SampTestCard, _Abstract2SampTestCard} from './common/abstract2-samp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.TTest2SampCard\n */\nexport interface TTest2SampCard extends _Abstract2SampTestCard {\n    // PolyJson type\n    type: 'ttest_2samp';\n}\n\nexport namespace TTest2SampCard {\n    export const type = 'ttest_2samp';\n}\n\nexport function isTTest2SampCard(toTest: Card): toTest is TTest2SampCard { return TTest2SampCard.type === toTest.type; }\n\nexport namespace TTest2SampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.TTest2SampCard$TTest2SampCardResult\n     */\n    export interface TTest2SampCardResult extends Abstract2SampTestCard._Abstract2SampTestCardResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ttest_2samp';\n    }\n\n    export namespace TTest2SampCardResult {\n        export const type = 'ttest_2samp';\n    }\n\n    export function isTTest2SampCardResult(toTest: CardResult): toTest is TTest2SampCardResult { return TTest2SampCardResult.type === toTest.type; }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Beta\n */\nexport interface Beta extends _Distribution {\n    // PolyJson type\n    type: 'beta';\n}\n\nexport namespace Beta {\n    export const type = 'beta';\n}\n\nexport function isBeta(toTest: Distribution): toTest is Beta { return Beta.type === toTest.type; }\n\nexport namespace Beta {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Beta$FittedBeta\n     */\n    export interface FittedBeta extends Distribution._FittedDistribution {\n        alpha: number;\n        beta: number;\n        lower: number;\n        upper: number;\n\n        // PolyJson type\n        type: 'beta';\n    }\n\n    export namespace FittedBeta {\n        export const type = 'beta';\n    }\n\n    export function isFittedBeta(toTest: Distribution.FittedDistribution): toTest is FittedBeta { return FittedBeta.type === toTest.type; }\n}","import {BivariateBoxPlotCard} from './bivariate_header/bivariate-box-plot-card';\nimport {BivariateFrequencyTableCard} from './bivariate_header/bivariate-frequency-table-card';\nimport {BivariateHistogramCard} from './bivariate_header/bivariate-histogram-card';\nimport {BivariateSummaryStatsCard} from './bivariate_header/bivariate-summary-stats-card';\nimport {Card, _Card} from './card';\nimport {Chi2IndTestCard} from './chi2-ind-test-card';\nimport {Fit2DDistributionCard} from './fit2-ddistribution-card';\nimport {FitCurveCard} from './fit-curve-card';\nimport {KsTest2SampCard} from './ks-test2-samp-card';\nimport {MoodTest2SampCard} from './mood-test2-samp-card';\nimport {MoodTestNSampCard} from './mood-test-nsamp-card';\nimport {MosaicPlotCard} from './bivariate_header/mosaic-plot-card';\nimport {OneWayANOVACard} from './one-way-anovacard';\nimport {PairwiseMoodTestCard} from './pairwise-mood-test-card';\nimport {PairwiseTTestCard} from './pairwise-ttest-card';\nimport {ScatterPlotCard} from './bivariate_header/scatter-plot-card';\nimport {TTest2SampCard} from './ttest2-samp-card';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.BivariateCard\n */\nexport interface _BivariateCard extends _Card {\n    xColumn: Variable;\n    yColumn: Variable;\n}\n\nexport type BivariateCard = MosaicPlotCard | Chi2IndTestCard | Fit2DDistributionCard | PairwiseMoodTestCard | MoodTestNSampCard | ScatterPlotCard | BivariateSummaryStatsCard | BivariateFrequencyTableCard | OneWayANOVACard | PairwiseTTestCard | TTest2SampCard | MoodTest2SampCard | BivariateHistogramCard | KsTest2SampCard | BivariateBoxPlotCard | FitCurveCard;\n\nexport namespace BivariateCard {\n    export const type = [\"mosaic_plot\" , \"chi2_independence_test\" , \"fit_2d_distribution\" , \"pairwise_mood\" , \"mood_nsamp\" , \"scatter_plot\" , \"bivariate_summary\" , \"bivariate_frequency_table\" , \"oneway_anova\" , \"pairwise_ttest\" , \"ttest_2samp\" , \"mood_test_2samp\" , \"bivariate_histogram\" , \"ks_test_2samp\" , \"bivariate_box_plot\" , \"fit_curve\"] as const;\n}\n\nexport function isBivariateCard(toTest: Card): toTest is BivariateCard { return (BivariateCard.type as readonly unknown[]).includes(toTest.type); }","/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams\n */\nexport interface FeatureGenerationParams {\n    categoricals_count_transformer: FeatureGenerationParams.CategoricalsCountTransformerGenerator;\n    manual_interactions: FeatureGenerationParams.ManualPairwiseInteractions;\n    numericals_clustering: FeatureGenerationParams.NumericalsClusteringGenerator;\n    pairwise_linear: FeatureGenerationParams.PairwiseLinearCombinations;\n    polynomial_combinations: FeatureGenerationParams.PolynomialCombinations;\n}\n\nexport namespace FeatureGenerationParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$FeatureInteraction\n     */\n    export interface FeatureInteraction {\n        column_1: string;\n        column_2: string;\n        max_features: number;\n        rescale: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$PairwiseLinearCombinations\n     */\n    export interface PairwiseLinearCombinations extends FeatureGenerationParams.AutomatizableFeatureGenerator {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$CategoricalsCountTransformerGenerator\n     */\n    export interface CategoricalsCountTransformerGenerator extends FeatureGenerationParams.AutomatizableFeatureGenerator {\n        all_features: boolean;\n        input_features: string[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$ManualPairwiseInteractions\n     */\n    export interface ManualPairwiseInteractions {\n        interactions: FeatureGenerationParams.FeatureInteraction[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$NumericalsClusteringGenerator\n     */\n    export interface NumericalsClusteringGenerator extends FeatureGenerationParams.AutomatizableFeatureGenerator {\n        all_features: boolean;\n        input_features: string[];\n        k: number;\n        transformation_mode: FeatureGenerationParams.NumericalsClusteringGenerator.TransformationMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$PolynomialCombinations\n     */\n    export interface PolynomialCombinations extends FeatureGenerationParams.AutomatizableFeatureGenerator {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$AutomatizableFeatureGenerator\n     */\n    export interface AutomatizableFeatureGenerator {\n        behavior: FeatureGenerationParams.GeneratorBehavior;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$GeneratorBehavior\n     */\n    export enum GeneratorBehavior {\n        DISABLED = 'DISABLED',\n        ENABLED_AUTOMATIC = 'ENABLED_AUTOMATIC',\n        ENABLED_MANUAL = 'ENABLED_MANUAL'\n    }\n}\n\nexport namespace FeatureGenerationParams.NumericalsClusteringGenerator {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeatureGenerationParams$NumericalsClusteringGenerator$TransformationMode\n     */\n    export enum TransformationMode {\n        REPLACE_BY_DISTANCE = 'REPLACE_BY_DISTANCE',\n        IMPACT_CODE_CLUSTERID = 'IMPACT_CODE_CLUSTERID',\n        DUMMIFY_CLUSTERID = 'DUMMIFY_CLUSTERID'\n    }\n}","import {Card, _Card} from './card';\nimport {CorrelationMatrixCard} from './correlation-matrix-card';\nimport {PCACard} from './pcacard';\nimport {ParallelCoordinatesPlotCard} from './parallel-coordinates-plot-card';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.MultivariateCard\n */\nexport interface _MultivariateCard extends _Card {\n    columns: Variable[];\n}\n\nexport type MultivariateCard = ParallelCoordinatesPlotCard | PCACard | CorrelationMatrixCard;\n\nexport namespace MultivariateCard {\n    export const type = [\"parallel_coordinates_plot\" , \"pca\" , \"correlation_matrix\"] as const;\n}\n\nexport function isMultivariateCard(toTest: Card): toTest is MultivariateCard { return (MultivariateCard.type as readonly unknown[]).includes(toTest.type); }","import {ACF} from './acf';\nimport {Computation, _Computation} from './../computation';\nimport {DurbinWatson} from './durbin-watson';\nimport {MannKendallTest} from './mann-kendall-test';\nimport {PACF} from './pacf';\nimport {UnitRootTestADF} from './unit-root-test-adf';\nimport {UnitRootTestKPSS} from './unit-root-test-kpss';\nimport {UnitRootTestZA} from './unit-root-test-za';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.TimeSeriesComputation\n */\nexport interface _TimeSeriesComputation extends _Computation {\n    seriesColumn: string;\n    timeColumn: string;\n}\n\nexport type TimeSeriesComputation = DurbinWatson | UnitRootTestZA | ACF | UnitRootTestKPSS | PACF | MannKendallTest | UnitRootTestADF;\n\nexport namespace TimeSeriesComputation {\n    export const type = [\"durbin_watson\" , \"unit_root_za\" , \"acf\" , \"unit_root_kpss\" , \"pacf\" , \"mann_kendall\" , \"unit_root_adf\"] as const;\n}\n\nexport function isTimeSeriesComputation(toTest: Computation): toTest is TimeSeriesComputation { return (TimeSeriesComputation.type as readonly unknown[]).includes(toTest.type); }","import {ACFPlotCard} from './acfplot-card';\nimport {BivariateBoxPlotCard} from './bivariate_header/bivariate-box-plot-card';\nimport {BivariateFrequencyTableCard} from './bivariate_header/bivariate-frequency-table-card';\nimport {BivariateHeaderCard} from './bivariate_header/bivariate-header-card';\nimport {BivariateHistogramCard} from './bivariate_header/bivariate-histogram-card';\nimport {BivariateSummaryStatsCard} from './bivariate_header/bivariate-summary-stats-card';\nimport {CDFPlotCard} from './cdfplot-card';\nimport {CategoricalHistogramCard} from './univariate_header/categorical-histogram-card';\nimport {Chi2IndTestCard} from './chi2-ind-test-card';\nimport {ColumnCard} from './common/column-card';\nimport {CorrelationMatrixCard} from './correlation-matrix-card';\nimport {DurbinWatsonCard} from './durbin-watson-card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {Fit2DDistributionCard} from './fit2-ddistribution-card';\nimport {FitCurveCard} from './fit-curve-card';\nimport {FitDistributionCard} from './fit-distribution-card';\nimport {KsTest2SampCard} from './ks-test2-samp-card';\nimport {MannKendallTestCard} from './mann-kendall-test-card';\nimport {MoodTest2SampCard} from './mood-test2-samp-card';\nimport {MoodTestNSampCard} from './mood-test-nsamp-card';\nimport {MosaicPlotCard} from './bivariate_header/mosaic-plot-card';\nimport {NumericalHistogramCard} from './univariate_header/numerical-histogram-card';\nimport {OneWayANOVACard} from './one-way-anovacard';\nimport {PCACard} from './pcacard';\nimport {PairwiseMoodTestCard} from './pairwise-mood-test-card';\nimport {PairwiseTTestCard} from './pairwise-ttest-card';\nimport {ParallelCoordinatesPlotCard} from './parallel-coordinates-plot-card';\nimport {PlaygroundCard} from './playground-card';\nimport {QuantilesTableCard} from './univariate_header/quantiles-table-card';\nimport {ScatterPlot3DCard} from './scatter-plot3-dcard';\nimport {ScatterPlotCard} from './bivariate_header/scatter-plot-card';\nimport {ShapiroNormalityTestCard} from './shapiro-normality-test-card';\nimport {SignTest1SampCard} from './sign-test1-samp-card';\nimport {SplitBySpec} from './../models/split-by-spec';\nimport {TTest2SampCard} from './ttest2-samp-card';\nimport {TZTest1SampCard} from './tztest1-samp-card';\nimport {UnitRootTestADFCard} from './unit-root-test-adfcard';\nimport {UnitRootTestKPSSCard} from './unit-root-test-kpsscard';\nimport {UnitRootTestZACard} from './unit-root-test-zacard';\nimport {UnivariateFrequencyTableCard} from './univariate_header/univariate-frequency-table-card';\nimport {UnivariateHeaderCard} from './univariate_header/univariate-header-card';\nimport {UnivariateSummaryStatsCard} from './univariate_header/univariate-summary-stats-card';\nimport {WorksheetRootCard} from './worksheet-root-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.Card\n */\nexport interface _Card {\n    filter?: Filter | null;\n    id: string;\n    splitBy?: SplitBySpec | null;\n}\n\nexport type Card = UnivariateFrequencyTableCard | BivariateHeaderCard | ScatterPlot3DCard | PlaygroundCard | Chi2IndTestCard | CorrelationMatrixCard | PairwiseMoodTestCard | SignTest1SampCard | BivariateFrequencyTableCard | CategoricalHistogramCard | MoodTest2SampCard | TTest2SampCard | BivariateHistogramCard | ShapiroNormalityTestCard | QuantilesTableCard | KsTest2SampCard | UnitRootTestZACard | TZTest1SampCard | MannKendallTestCard | FitCurveCard | MosaicPlotCard | WorksheetRootCard | UnivariateHeaderCard | PCACard | FitDistributionCard | Fit2DDistributionCard | ColumnCard | ScatterPlotCard | MoodTestNSampCard | BivariateSummaryStatsCard | CDFPlotCard | OneWayANOVACard | PairwiseTTestCard | DurbinWatsonCard | UnitRootTestADFCard | UnitRootTestKPSSCard | UnivariateSummaryStatsCard | NumericalHistogramCard | ParallelCoordinatesPlotCard | BivariateBoxPlotCard | ACFPlotCard;\n\nexport namespace Card {\n    export const type = [\"univariate_frequency_table\" , \"bivariate_header\" , \"scatter_plot_3d\" , \"playground\" , \"chi2_independence_test\" , \"correlation_matrix\" , \"pairwise_mood\" , \"sign_test_1samp\" , \"bivariate_frequency_table\" , \"categorical_histogram\" , \"mood_test_2samp\" , \"ttest_2samp\" , \"bivariate_histogram\" , \"shapiro\" , \"quantile_table\" , \"ks_test_2samp\" , \"unit_root_test_za\" , \"ttest_ztest_1samp\" , \"mann_kendall_test\" , \"fit_curve\" , \"mosaic_plot\" , \"worksheet_root\" , \"univariate_header\" , \"pca\" , \"fit_distribution\" , \"fit_2d_distribution\" , \"column_card\" , \"scatter_plot\" , \"mood_nsamp\" , \"bivariate_summary\" , \"cdf_plot\" , \"oneway_anova\" , \"pairwise_ttest\" , \"durbin_watson\" , \"unit_root_test_adf\" , \"unit_root_test_kpss\" , \"univariate_summary\" , \"numerical_histogram\" , \"parallel_coordinates_plot\" , \"bivariate_box_plot\" , \"acf_plot\"] as const;\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {CategoricalHistogramCard} from './categorical-histogram-card';\nimport {_UnivariateCard} from './../univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateFrequencyTableCard\n */\nexport interface UnivariateFrequencyTableCard extends _UnivariateCard {\n    maxValues: number;\n\n    // PolyJson type\n    type: 'univariate_frequency_table';\n}\n\nexport namespace UnivariateFrequencyTableCard {\n    export const type = 'univariate_frequency_table';\n}\n\nexport function isUnivariateFrequencyTableCard(toTest: Card): toTest is UnivariateFrequencyTableCard { return UnivariateFrequencyTableCard.type === toTest.type; }\n\nexport namespace UnivariateFrequencyTableCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateFrequencyTableCard$UnivariateFrequencyTableCardResult\n     */\n    export interface UnivariateFrequencyTableCardResult extends _CardResult {\n        distinctCount: number;\n        frequencies: CategoricalHistogramCard.HistogramData;\n\n        // PolyJson type\n        type: 'univariate_frequency_table';\n    }\n\n    export namespace UnivariateFrequencyTableCardResult {\n        export const type = 'univariate_frequency_table';\n    }\n\n    export function isUnivariateFrequencyTableCardResult(toTest: CardResult): toTest is UnivariateFrequencyTableCardResult { return UnivariateFrequencyTableCardResult.type === toTest.type; }\n}","import {DeepHubMetricParams} from './deep-hub-metric-params';\nimport {PredictionMLTask} from './prediction-mltask';\nimport {PredictionModelingParams} from './prediction-modeling-params';\n\nexport namespace DeepHubPreTrainModelingParams.ImageClassificationPreTrainModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ImageClassificationPreTrainModelingParams$PretrainedModel\n     */\n    export enum PretrainedModel {\n        EFFICIENTNET_B0 = 'EFFICIENTNET_B0',\n        EFFICIENTNET_B4 = 'EFFICIENTNET_B4',\n        EFFICIENTNET_B7 = 'EFFICIENTNET_B7'\n    }\n}\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams\n */\nexport interface _DeepHubPreTrainModelingParams {\n    augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams;\n    dummy: boolean;\n    earlyStopping: DeepHubPreTrainModelingParams.EarlyStopping;\n    enableParallelDataLoading: boolean;\n    epochs: number;\n    gpuParams: PredictionModelingParams.GpuCodeParams;\n    learningRate: number;\n    lrScheduler: DeepHubPreTrainModelingParams.LrScheduler;\n    metrics: DeepHubMetricParams;\n    numWorkers: number;\n    optimizer: DeepHubPreTrainModelingParams.Optimizer;\n    perDeviceBatchSize: number;\n    processCountPerNode: number;\n    trainableLayers: DeepHubPreTrainModelingParams.TrainableLayers;\n    type: PredictionMLTask.PredictionType;\n    weightDecay: number;\n}\n\nexport type DeepHubPreTrainModelingParams = DeepHubPreTrainModelingParams.ImageClassificationPreTrainModelingParams | DeepHubPreTrainModelingParams.ObjectDetectionPreTrainModelingParams;\n\nexport namespace DeepHubPreTrainModelingParams.TrainableLayers {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$TrainableLayers$TrainableLayersMode\n     */\n    export enum TrainableLayersMode {\n        AUTO = 'AUTO',\n        MANUAL = 'MANUAL'\n    }\n}\n\nexport namespace DeepHubPreTrainModelingParams.ObjectDetectionPreTrainModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ObjectDetectionPreTrainModelingParams$PretrainedModel\n     */\n    export enum PretrainedModel {\n        FASTERRCNN = 'FASTERRCNN'\n    }\n}\n\nexport namespace DeepHubPreTrainModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$RandomCropParams\n     */\n    export interface RandomCropParams extends DeepHubPreTrainModelingParams.ImageAugmentationParam {\n        minKeptRatio: number;\n        preserveAspectRatio: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ImageAugmentationParams\n     */\n    export interface ImageAugmentationParams {\n        affine: DeepHubPreTrainModelingParams.AffineParams;\n        colorJitter: DeepHubPreTrainModelingParams.ColorJitterParams;\n        crop: DeepHubPreTrainModelingParams.RandomCropParams;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ColorJitterParams\n     */\n    export interface ColorJitterParams extends DeepHubPreTrainModelingParams.ImageAugmentationParam {\n        brightness: number;\n        contrast: number;\n        hue: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ImageAugmentationParam\n     */\n    export interface ImageAugmentationParam {\n        enabled: boolean;\n        probability: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ImageClassificationPreTrainModelingParams\n     */\n    export interface ImageClassificationPreTrainModelingParams extends _DeepHubPreTrainModelingParams {\n        pretrainedModel: DeepHubPreTrainModelingParams.ImageClassificationPreTrainModelingParams.PretrainedModel;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$AffineParams\n     */\n    export interface AffineParams {\n        horizontalFlip: DeepHubPreTrainModelingParams.ImageAugmentationParam;\n        rotate: DeepHubPreTrainModelingParams.RotateParams;\n        verticalFlip: DeepHubPreTrainModelingParams.ImageAugmentationParam;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$EarlyStopping\n     */\n    export interface EarlyStopping {\n        enabled: boolean;\n        minDelta: number;\n        patience: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$Optimizer\n     */\n    export enum Optimizer {\n        ADAM = 'ADAM',\n        SGD = 'SGD',\n        RMSPROP = 'RMSPROP',\n        ADAMAX = 'ADAMAX',\n        ADAGRAD = 'ADAGRAD',\n        ADADELTA = 'ADADELTA'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$TrainableLayers\n     */\n    export interface TrainableLayers {\n        mode: DeepHubPreTrainModelingParams.TrainableLayers.TrainableLayersMode;\n        value: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ObjectDetectionPreTrainModelingParams\n     */\n    export interface ObjectDetectionPreTrainModelingParams extends _DeepHubPreTrainModelingParams {\n        pretrainedModel: DeepHubPreTrainModelingParams.ObjectDetectionPreTrainModelingParams.PretrainedModel;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$LrScheduler\n     */\n    export enum LrScheduler {\n        PLATEAU = 'PLATEAU',\n        STEP = 'STEP',\n        EXPONENTIAL = 'EXPONENTIAL'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$RotateParams\n     */\n    export interface RotateParams extends DeepHubPreTrainModelingParams.ImageAugmentationParam {\n        maxRotation: number;\n    }\n}","import {GroupScriptStep} from './group-script-step';\nimport {ProcessorScriptStep} from './processor-script-step';\nimport {ProcessorWithRecordedReport} from './../processor-with-recorded-report';\n\n/**\n * Generated from com.dataiku.dip.shaker.model.ScriptStep\n */\nexport interface _ScriptStep {\n    alwaysShowComment: boolean;\n    comment: string;\n    designTimeReport: ProcessorWithRecordedReport.ProcessorRecordedReport;\n    disabled: boolean;\n    mainColor: string;\n    metaType: ScriptStep.MetaType;\n    name: string;\n    overrideTable: any /* TODO: Missing translation of com.dataiku.dip.variables.OverrideTable */;\n    preview: boolean;\n    secondaryColor: string;\n}\n\nexport type ScriptStep = ProcessorScriptStep | GroupScriptStep;\n\nexport namespace ScriptStep {\n    /**\n     * Generated from com.dataiku.dip.shaker.model.ScriptStep$MetaType\n     */\n    export enum MetaType {\n        PROCESSOR = 'PROCESSOR',\n        GROUP = 'GROUP'\n    }\n}","import {Card, _Card} from './card';\nimport {ScatterPlot3DCard} from './scatter-plot3-dcard';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.TrivariateCard\n */\nexport interface _TrivariateCard extends _Card {\n    xColumn: Variable;\n    yColumn: Variable;\n    zColumn: Variable;\n}\n\nexport type TrivariateCard = ScatterPlot3DCard;\n\nexport namespace TrivariateCard {\n    export const type = [\"scatter_plot_3d\"] as const;\n}\n\nexport function isTrivariateCard(toTest: Card): toTest is TrivariateCard { return (TrivariateCard.type as readonly unknown[]).includes(toTest.type); }","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {UnitRootTestCard, _UnitRootTestCard} from './unit-root-test-card';\nimport {UnitRootTestKPSS} from './../../compute/computations/timeseries/unit-root-test-kpss';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestKPSSCard\n */\nexport interface UnitRootTestKPSSCard extends _UnitRootTestCard {\n    regressionMode: UnitRootTestKPSS.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_test_kpss';\n}\n\nexport namespace UnitRootTestKPSSCard {\n    export const type = 'unit_root_test_kpss';\n}\n\nexport function isUnitRootTestKPSSCard(toTest: Card): toTest is UnitRootTestKPSSCard { return UnitRootTestKPSSCard.type === toTest.type; }\n\nexport namespace UnitRootTestKPSSCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestKPSSCard$UnitRootTestKPSSCardResult\n     */\n    export interface UnitRootTestKPSSCardResult extends UnitRootTestCard._UnitRootTestCardResult {\n        // PolyJson type\n        type: 'unit_root_test_kpss';\n    }\n\n    export namespace UnitRootTestKPSSCardResult {\n        export const type = 'unit_root_test_kpss';\n    }\n\n    export function isUnitRootTestKPSSCardResult(toTest: CardResult): toTest is UnitRootTestKPSSCardResult { return UnitRootTestKPSSCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {UnitRootTestADF} from './unit-root-test-adf';\nimport {UnitRootTestKPSS} from './unit-root-test-kpss';\nimport {UnitRootTestZA} from './unit-root-test-za';\nimport {_AvailableResult} from './../available-result';\nimport {_TimeSeriesComputation} from './time-series-computation';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTest\n */\nexport interface _UnitRootTest extends _TimeSeriesComputation {}\n\nexport type UnitRootTest = UnitRootTestZA | UnitRootTestKPSS | UnitRootTestADF;\n\nexport namespace UnitRootTest {\n    export const type = [\"unit_root_za\" , \"unit_root_kpss\" , \"unit_root_adf\"] as const;\n}\n\nexport function isUnitRootTest(toTest: Computation): toTest is UnitRootTest { return (UnitRootTest.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace UnitRootTest {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTest$UnitRootTestResult\n     */\n    export interface _UnitRootTestResult extends _AvailableResult {\n        criticalValues: {[key: string]: number};\n        nObservations: number;\n        pValue: number;\n        statistic: number;\n        usedLag: number;\n    }\n\n    export type UnitRootTestResult = UnitRootTestADF.UnitRootTestADFResult | UnitRootTestZA.UnitRootTestZAResult | UnitRootTestKPSS.UnitRootTestKPSSResult;\n\n    export namespace UnitRootTestResult {\n        export const type = [\"unit_root_adf\" , \"unit_root_za\" , \"unit_root_kpss\"] as const;\n    }\n\n    export function isUnitRootTestResult(toTest: ComputationResult): toTest is UnitRootTestResult { return (UnitRootTestResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Pearson\n */\nexport interface Pearson extends Computation._BivariateComputation {\n    // PolyJson type\n    type: 'pearson';\n}\n\nexport namespace Pearson {\n    export const type = 'pearson';\n}\n\nexport function isPearson(toTest: Computation): toTest is Pearson { return Pearson.type === toTest.type; }\n\nexport namespace Pearson {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Pearson$PearsonResult\n     */\n    export interface PearsonResult extends _AvailableResult {\n        correlation: number;\n        pvalue: number;\n\n        // PolyJson type\n        type: 'pearson';\n    }\n\n    export namespace PearsonResult {\n        export const type = 'pearson';\n    }\n\n    export function isPearsonResult(toTest: ComputationResult): toTest is PearsonResult { return PearsonResult.type === toTest.type; }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {GroupingResult} from './../../grouping/grouping-result';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.common.GroupedComputation\n */\nexport interface GroupedComputation extends _Computation {\n    computation: Computation;\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'grouped';\n}\n\nexport namespace GroupedComputation {\n    export const type = 'grouped';\n}\n\nexport function isGroupedComputation(toTest: Computation): toTest is GroupedComputation { return GroupedComputation.type === toTest.type; }\n\nexport namespace GroupedComputation {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.common.GroupedComputation$GroupedComputationResult\n     */\n    export interface GroupedComputationResult extends _AvailableResult {\n        groups: GroupingResult;\n        results: ComputationResult[];\n\n        // PolyJson type\n        type: 'grouped';\n    }\n\n    export namespace GroupedComputationResult {\n        export const type = 'grouped';\n    }\n\n    export function isGroupedComputationResult(toTest: ComputationResult): toTest is GroupedComputationResult { return GroupedComputationResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {UnitRootTest, _UnitRootTest} from './unit-root-test';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA\n */\nexport interface UnitRootTestZA extends _UnitRootTest {\n    nLags?: number | null;\n    regressionMode: UnitRootTestZA.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_za';\n}\n\nexport namespace UnitRootTestZA {\n    export const type = 'unit_root_za';\n}\n\nexport function isUnitRootTestZA(toTest: Computation): toTest is UnitRootTestZA { return UnitRootTestZA.type === toTest.type; }\n\nexport namespace UnitRootTestZA {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA$UnitRootTestZAResult\n     */\n    export interface UnitRootTestZAResult extends UnitRootTest._UnitRootTestResult {\n        // PolyJson type\n        type: 'unit_root_za';\n    }\n\n    export namespace UnitRootTestZAResult {\n        export const type = 'unit_root_za';\n    }\n\n    export function isUnitRootTestZAResult(toTest: ComputationResult): toTest is UnitRootTestZAResult { return UnitRootTestZAResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA$RegressionMode\n     */\n    export enum RegressionMode {\n        CONSTANT_ONLY = 'CONSTANT_ONLY',\n        TREND_ONLY = 'TREND_ONLY',\n        CONSTANT_WITH_TREND = 'CONSTANT_WITH_TREND'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.KendallTau\n */\nexport interface KendallTau extends Computation._BivariateComputation {\n    // PolyJson type\n    type: 'kendall_tau';\n}\n\nexport namespace KendallTau {\n    export const type = 'kendall_tau';\n}\n\nexport function isKendallTau(toTest: Computation): toTest is KendallTau { return KendallTau.type === toTest.type; }\n\nexport namespace KendallTau {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.KendallTau$KendallTauResult\n     */\n    export interface KendallTauResult extends _AvailableResult {\n        correlation: number;\n        pvalue: number;\n\n        // PolyJson type\n        type: 'kendall_tau';\n    }\n\n    export namespace KendallTauResult {\n        export const type = 'kendall_tau';\n    }\n\n    export function isKendallTauResult(toTest: ComputationResult): toTest is KendallTauResult { return KendallTauResult.type === toTest.type; }\n}","import {ACF} from './timeseries/acf';\nimport {Chi2IndTest} from './bivariate/chi2-ind-test';\nimport {CountGroups} from './common/count-groups';\nimport {Count} from './common/count';\nimport {Covariance} from './bivariate/covariance';\nimport {DummyComputation} from './common/dummy-computation';\nimport {DurbinWatson} from './timeseries/durbin-watson';\nimport {EmpiricalCDF} from './univariate/empirical-cdf';\nimport {Entropy} from './univariate/entropy';\nimport {FailedResult} from './failed-result';\nimport {FetchValues} from './multivariate/fetch-values';\nimport {Fit2DDistribution} from './bivariate/fit2-ddistribution';\nimport {FitCurve} from './bivariate/fit-curve';\nimport {FitDistribution} from './univariate/fit-distribution';\nimport {GroupedComputation} from './common/grouped-computation';\nimport {KendallTau} from './bivariate/kendall-tau';\nimport {KsTest2Samp} from './univariate/ks-test2-samp';\nimport {Kurtosis} from './univariate/kurtosis';\nimport {MannKendallTest} from './timeseries/mann-kendall-test';\nimport {MaxTime} from './univariate/max-time';\nimport {Max} from './univariate/max';\nimport {Mean} from './univariate/mean';\nimport {MinTime} from './univariate/min-time';\nimport {Min} from './univariate/min';\nimport {MoodTestNSamp} from './univariate/mood-test-nsamp';\nimport {MultiComputation} from './common/multi-computation';\nimport {MutualInformation} from './bivariate/mutual-information';\nimport {NotComputedResult} from './not-computed-result';\nimport {OneWayAnova} from './univariate/one-way-anova';\nimport {PACF} from './timeseries/pacf';\nimport {PCA} from './multivariate/pca';\nimport {PairwiseMoodTest} from './univariate/pairwise-mood-test';\nimport {PairwiseTTest} from './univariate/pairwise-ttest';\nimport {Pearson} from './bivariate/pearson';\nimport {Quantiles} from './univariate/quantiles';\nimport {Sem} from './univariate/sem';\nimport {Shapiro} from './univariate/shapiro';\nimport {SignTest1Samp} from './univariate/sign-test1-samp';\nimport {Skewness} from './univariate/skewness';\nimport {Spearman} from './bivariate/spearman';\nimport {StdDev} from './univariate/std-dev';\nimport {Sum} from './univariate/sum';\nimport {TTest1Samp} from './univariate/ttest1-samp';\nimport {TestDistribution} from './univariate/test-distribution';\nimport {TimeStep} from './univariate/time-step';\nimport {UnitRootTestADF} from './timeseries/unit-root-test-adf';\nimport {UnitRootTestKPSS} from './timeseries/unit-root-test-kpss';\nimport {UnitRootTestZA} from './timeseries/unit-root-test-za';\nimport {Variance} from './univariate/variance';\nimport {ZTest1Samp} from './univariate/ztest1-samp';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.ComputationResult\n */\nexport interface _ComputationResult {\n    computationCounts: ComputationResult.ComputationCounts;\n}\n\nexport type ComputationResult = PACF.PACFResult | DurbinWatson.DurbinWatsonResult | PCA.PCAResult | Quantiles.QuantilesResult | EmpiricalCDF.EmpiricalCDFResult | PairwiseTTest.PairwiseTTestResult | OneWayAnova.OneWayAnovaResult | Sum.SumResult | FitDistribution.FitDistributionResult | MutualInformation.MutualInformationResult | ACF.ACFResult | SignTest1Samp.SignTest1SampResult | Shapiro.ShapiroResult | Min.MinResult | MinTime.MinTimeResult | TimeStep.TimeStepResult | PairwiseMoodTest.PairwiseMoodTestResult | Count.CountResult | MaxTime.MaxTimeResult | MultiComputation.MultiComputationResult | Variance.VarianceResult | MoodTestNSamp.MoodTestNSampResult | KsTest2Samp.KsTest2SampResult | KendallTau.KendallTauResult | FailedResult | UnitRootTestZA.UnitRootTestZAResult | TestDistribution.TestDistributionResult | FitCurve.FitCurveResult | UnitRootTestADF.UnitRootTestADFResult | StdDev.StdDevResult | Max.MaxResult | NotComputedResult | Sem.SemResult | CountGroups.CountGroupsResult | ZTest1Samp.ZTest1SampResult | Entropy.EntropyResult | MannKendallTest.MannKendallTestResult | Covariance.CovarianceResult | UnitRootTestKPSS.UnitRootTestKPSSResult | FetchValues.FetchValuesResult | GroupedComputation.GroupedComputationResult | Pearson.PearsonResult | TTest1Samp.TTest1SampResult | Kurtosis.KurtosisResult | DummyComputation.DummyComputationResult | Fit2DDistribution.Fit2DDistributionResult | Mean.MeanResult | Skewness.SkewnessResult | Spearman.SpearmanResult | Chi2IndTest.Chi2IndTestResult;\n\nexport namespace ComputationResult {\n    export const type = [\"pacf\" , \"durbin_watson\" , \"pca\" , \"quantiles\" , \"empirical_cdf\" , \"pairwise_ttest\" , \"one_way_anova\" , \"sum\" , \"fit_distribution\" , \"mutual_information\" , \"acf\" , \"sign_test_1samp\" , \"shapiro\" , \"min\" , \"min_time\" , \"time_step\" , \"pairwise_mood_test\" , \"count\" , \"max_time\" , \"multi\" , \"variance\" , \"mood_test_nsamp\" , \"ks_test_2samp\" , \"kendall_tau\" , \"failed\" , \"unit_root_za\" , \"test_distribution\" , \"fit_curve\" , \"unit_root_adf\" , \"std_dev\" , \"max\" , \"not_computed\" , \"sem\" , \"count_groups\" , \"ztest_1samp\" , \"entropy\" , \"mann_kendall\" , \"covariance\" , \"unit_root_kpss\" , \"fetch_values\" , \"grouped\" , \"pearson\" , \"ttest_1samp\" , \"kurtosis\" , \"dummy\" , \"fit_2d_distribution\" , \"mean\" , \"skewness\" , \"spearman\" , \"chi2_ind_test\"] as const;\n}\n\nexport namespace ComputationResult {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.ComputationResult$ComputationCounts\n     */\n    export interface ComputationCounts {\n        computationsCount: number;\n        failedComputationsCount: number;\n        notComputedCount: number;\n    }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {_Abstract2DPivotCard} from './abstract2-dpivot-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard\n */\nexport interface MosaicPlotCard extends _Abstract2DPivotCard {\n    highlightFilter?: Filter | null;\n\n    // PolyJson type\n    type: 'mosaic_plot';\n}\n\nexport namespace MosaicPlotCard {\n    export const type = 'mosaic_plot';\n}\n\nexport function isMosaicPlotCard(toTest: Card): toTest is MosaicPlotCard { return MosaicPlotCard.type === toTest.type; }\n\nexport namespace MosaicPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard$MosaicPlotData\n     */\n    export interface MosaicPlotData {\n        counts: number[];\n        highlightedYPercentages?: number[] | null;\n        totalCount: number;\n        xPercentages: number[];\n        xVals: Filter[];\n        yPercentages: number[];\n        yVals: Filter[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard$MosaicPlotCardResult\n     */\n    export interface MosaicPlotCardResult extends _CardResult {\n        mosaic: MosaicPlotCard.MosaicPlotData;\n\n        // PolyJson type\n        type: 'mosaic_plot';\n    }\n\n    export namespace MosaicPlotCardResult {\n        export const type = 'mosaic_plot';\n    }\n\n    export function isMosaicPlotCardResult(toTest: CardResult): toTest is MosaicPlotCardResult { return MosaicPlotCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {GroupingResult} from './../../grouping/grouping-result';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.multivariate.PCA\n */\nexport interface PCA extends Computation._MultivariateComputation {\n    projectionDim: number;\n    projectionGrouping: Grouping;\n\n    // PolyJson type\n    type: 'pca';\n}\n\nexport namespace PCA {\n    export const type = 'pca';\n}\n\nexport function isPCA(toTest: Computation): toTest is PCA { return PCA.type === toTest.type; }\n\nexport namespace PCA {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.multivariate.PCA$PCAResult\n     */\n    export interface PCAResult extends _AvailableResult {\n        eigenvalues: number[];\n        eigenvectors: number[][];\n        groups: GroupingResult;\n        projections: number[][][];\n\n        // PolyJson type\n        type: 'pca';\n    }\n\n    export namespace PCAResult {\n        export const type = 'pca';\n    }\n\n    export function isPCAResult(toTest: ComputationResult): toTest is PCAResult { return PCAResult.type === toTest.type; }\n}","import {FilterDesc} from './../../../../../../../../dss-core/src/main/java/com/dataiku/dip/dataflow/exec/filter/filter-desc';\nimport {StreamableDatasetSelection} from './../../datasets/streamable-dataset-selection';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.SplitParams\n */\nexport interface SplitParams {\n    efsdDatasetSmartName: string;\n    efsdTest: SplitParams.EFSDSplit;\n    efsdTrain: SplitParams.EFSDSplit;\n    eftdTest: SplitParams.EFTDSplit;\n    eftdTrain: SplitParams.EFTDSplit;\n    instanceIdRefresher: number;\n    kfold: boolean;\n    nFolds: number;\n    splitBeforePrepare: boolean;\n    ssdColumn: string;\n    ssdDatasetSmartName: string;\n    ssdSeed: number;\n    ssdSelection: StreamableDatasetSelection;\n    ssdSplitMode: SplitParams.SplitMode;\n    ssdTrainingRatio: number;\n    subSamplingSeed: number;\n    testOnLargerValues: boolean;\n    ttPolicy: SplitParams.TrainTestPolicy;\n}\n\nexport namespace SplitParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.SplitParams$EFDSplit\n     */\n    export interface EFDSplit {\n        filter: FilterDesc;\n        selection: StreamableDatasetSelection;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.SplitParams$EFSDSplit\n     */\n    export interface EFSDSplit extends SplitParams.EFDSplit {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.SplitParams$EFTDSplit\n     */\n    export interface EFTDSplit extends SplitParams.EFDSplit {\n        datasetSmartName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.SplitParams$TrainTestPolicy\n     */\n    export enum TrainTestPolicy {\n        SPLIT_SINGLE_DATASET = 'SPLIT_SINGLE_DATASET',\n        EXPLICIT_FILTERING_SINGLE_DATASET = 'EXPLICIT_FILTERING_SINGLE_DATASET',\n        EXPLICIT_FILTERING_TWO_DATASETS = 'EXPLICIT_FILTERING_TWO_DATASETS'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.SplitParams$SplitMode\n     */\n    export enum SplitMode {\n        RANDOM = 'RANDOM',\n        SORTED = 'SORTED'\n    }\n}","export namespace DeephubImagesDataService {\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$Sorting\n     */\n    export interface Sorting {\n        ascending: boolean;\n        sortBy: DeephubImagesDataService.SortBy;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$SortBy\n     */\n    export enum SortBy {\n        IOU = 'IOU',\n        CONFIDENCE = 'CONFIDENCE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ObjectDetectionPredictedFilter\n     */\n    export interface ObjectDetectionPredictedFilter extends DeephubImagesDataService._ComputerVisionPredictedFilter {\n        detection?: DeephubImagesDataService.Category | null;\n        groundTruth?: DeephubImagesDataService.Category | null;\n        minConfidence: number;\n        minIOU: number;\n        sorting: DeephubImagesDataService.Sorting;\n\n        // PolyJson type\n        type: 'DEEP_HUB_IMAGE_OBJECT_DETECTION';\n    }\n\n    export namespace ObjectDetectionPredictedFilter {\n        export const type = 'DEEP_HUB_IMAGE_OBJECT_DETECTION';\n    }\n\n    export function isObjectDetectionPredictedFilter(toTest: DeephubImagesDataService.ComputerVisionPredictedFilter): toTest is ObjectDetectionPredictedFilter { return ObjectDetectionPredictedFilter.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ComputerVisionPredictedFilter\n     */\n    export interface _ComputerVisionPredictedFilter {}\n\n    export type ComputerVisionPredictedFilter = DeephubImagesDataService.ImageClassificationPredictedFilter | DeephubImagesDataService.ObjectDetectionPredictedFilter;\n\n    export namespace ComputerVisionPredictedFilter {\n        export const type = [\"DEEP_HUB_IMAGE_CLASSIFICATION\" , \"DEEP_HUB_IMAGE_OBJECT_DETECTION\"] as const;\n    }\n\n    export function isComputerVisionPredictedFilter(toTest: DeephubImagesDataService.ComputerVisionPredictedFilter): toTest is ComputerVisionPredictedFilter { return (ComputerVisionPredictedFilter.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$CategoryType\n     */\n    export enum CategoryType {\n        ANY = 'ANY',\n        NONE = 'NONE',\n        ONE = 'ONE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ImageClassificationPredictedFilter\n     */\n    export interface ImageClassificationPredictedFilter extends DeephubImagesDataService._ComputerVisionPredictedFilter {\n        ascending: boolean;\n        detection?: string | null;\n        groundTruth?: string | null;\n\n        // PolyJson type\n        type: 'DEEP_HUB_IMAGE_CLASSIFICATION';\n    }\n\n    export namespace ImageClassificationPredictedFilter {\n        export const type = 'DEEP_HUB_IMAGE_CLASSIFICATION';\n    }\n\n    export function isImageClassificationPredictedFilter(toTest: DeephubImagesDataService.ComputerVisionPredictedFilter): toTest is ImageClassificationPredictedFilter { return ImageClassificationPredictedFilter.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$Category\n     */\n    export interface Category {\n        type: DeephubImagesDataService.CategoryType;\n        value: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$DeepHubDesignFilterRequest\n     */\n    export interface DeepHubDesignFilterRequest {\n        targetCategories: string[];\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Distribution} from './../../distributions/distribution';\nimport {TestDistribution} from './test-distribution';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.FitDistribution\n */\nexport interface FitDistribution extends Computation._UnivariateComputation {\n    distribution: Distribution;\n    test: boolean;\n\n    // PolyJson type\n    type: 'fit_distribution';\n}\n\nexport namespace FitDistribution {\n    export const type = 'fit_distribution';\n}\n\nexport function isFitDistribution(toTest: Computation): toTest is FitDistribution { return FitDistribution.type === toTest.type; }\n\nexport namespace FitDistribution {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.FitDistribution$FitDistributionResult\n     */\n    export interface FitDistributionResult extends _AvailableResult {\n        fit: Distribution.FittedDistribution;\n        test?: TestDistribution.TestDistributionResult | null;\n\n        // PolyJson type\n        type: 'fit_distribution';\n    }\n\n    export namespace FitDistributionResult {\n        export const type = 'fit_distribution';\n    }\n\n    export function isFitDistributionResult(toTest: ComputationResult): toTest is FitDistributionResult { return FitDistributionResult.type === toTest.type; }\n}","import {CDFPlotCard} from './cdfplot-card';\nimport {Card, _Card} from './card';\nimport {CategoricalHistogramCard} from './univariate_header/categorical-histogram-card';\nimport {FitDistributionCard} from './fit-distribution-card';\nimport {NumericalHistogramCard} from './univariate_header/numerical-histogram-card';\nimport {QuantilesTableCard} from './univariate_header/quantiles-table-card';\nimport {ShapiroNormalityTestCard} from './shapiro-normality-test-card';\nimport {SignTest1SampCard} from './sign-test1-samp-card';\nimport {TZTest1SampCard} from './tztest1-samp-card';\nimport {UnivariateFrequencyTableCard} from './univariate_header/univariate-frequency-table-card';\nimport {UnivariateSummaryStatsCard} from './univariate_header/univariate-summary-stats-card';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.UnivariateCard\n */\nexport interface _UnivariateCard extends _Card {\n    column: Variable;\n}\n\nexport type UnivariateCard = CDFPlotCard | SignTest1SampCard | CategoricalHistogramCard | ShapiroNormalityTestCard | UnivariateFrequencyTableCard | QuantilesTableCard | UnivariateSummaryStatsCard | NumericalHistogramCard | FitDistributionCard | TZTest1SampCard;\n\nexport namespace UnivariateCard {\n    export const type = [\"cdf_plot\" , \"sign_test_1samp\" , \"categorical_histogram\" , \"shapiro\" , \"univariate_frequency_table\" , \"quantile_table\" , \"univariate_summary\" , \"numerical_histogram\" , \"fit_distribution\" , \"ttest_ztest_1samp\"] as const;\n}\n\nexport function isUnivariateCard(toTest: Card): toTest is UnivariateCard { return (UnivariateCard.type as readonly unknown[]).includes(toTest.type); }","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {SplitBySpec} from './../models/split-by-spec';\nimport {_TrivariateCard} from './trivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.ScatterPlot3DCard\n */\nexport interface ScatterPlot3DCard extends _TrivariateCard {\n    colorBy?: SplitBySpec | null;\n    highlightFilter?: Filter | null;\n    maxNumberOfPoints: number;\n    symbolSize: number;\n\n    // PolyJson type\n    type: 'scatter_plot_3d';\n}\n\nexport namespace ScatterPlot3DCard {\n    export const type = 'scatter_plot_3d';\n}\n\nexport function isScatterPlot3DCard(toTest: Card): toTest is ScatterPlot3DCard { return ScatterPlot3DCard.type === toTest.type; }\n\nexport namespace ScatterPlot3DCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ScatterPlot3DCard$ScatterPlot3DCardResult\n     */\n    export interface ScatterPlot3DCardResult extends _CardResult {\n        groups: Filter[];\n        series3d: ScatterPlot3DCard.ScatterPlot3DSeries[];\n\n        // PolyJson type\n        type: 'scatter_plot_3d';\n    }\n\n    export namespace ScatterPlot3DCardResult {\n        export const type = 'scatter_plot_3d';\n    }\n\n    export function isScatterPlot3DCardResult(toTest: CardResult): toTest is ScatterPlot3DCardResult { return ScatterPlot3DCardResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ScatterPlot3DCard$ScatterPlot3DSeries\n     */\n    export interface ScatterPlot3DSeries {\n        groupIndex: number;\n        isHighlighted: boolean;\n        xSeries: number[];\n        ySeries: number[];\n        zSeries: number[];\n    }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.common.DummyComputation\n */\nexport interface DummyComputation extends _Computation {\n    // PolyJson type\n    type: 'dummy';\n}\n\nexport namespace DummyComputation {\n    export const type = 'dummy';\n}\n\nexport function isDummyComputation(toTest: Computation): toTest is DummyComputation { return DummyComputation.type === toTest.type; }\n\nexport namespace DummyComputation {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.common.DummyComputation$DummyComputationResult\n     */\n    export interface DummyComputationResult extends _AvailableResult {\n        // PolyJson type\n        type: 'dummy';\n    }\n\n    export namespace DummyComputationResult {\n        export const type = 'dummy';\n    }\n\n    export function isDummyComputationResult(toTest: ComputationResult): toTest is DummyComputationResult { return DummyComputationResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {CorrelationFunction, _CorrelationFunction} from './correlation-function';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.PACF\n */\nexport interface PACF extends _CorrelationFunction {\n    alpha: number;\n    method: PACF.Method;\n    nLags?: number | null;\n\n    // PolyJson type\n    type: 'pacf';\n}\n\nexport namespace PACF {\n    export const type = 'pacf';\n}\n\nexport function isPACF(toTest: Computation): toTest is PACF { return PACF.type === toTest.type; }\n\nexport namespace PACF {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.PACF$Method\n     */\n    export enum Method {\n        YULE_WALKER = 'YULE_WALKER',\n        OLS = 'OLS',\n        OLS_UNBIASED = 'OLS_UNBIASED',\n        LEVINSON_DURBIN = 'LEVINSON_DURBIN'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.PACF$PACFResult\n     */\n    export interface PACFResult extends CorrelationFunction._CorrelationFunctionResult {\n        // PolyJson type\n        type: 'pacf';\n    }\n\n    export namespace PACFResult {\n        export const type = 'pacf';\n    }\n\n    export function isPACFResult(toTest: ComputationResult): toTest is PACFResult { return PACFResult.type === toTest.type; }\n}","import {AbstractNSampTestCard, _AbstractNSampTestCard} from './common/abstract-nsamp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.OneWayANOVACard\n */\nexport interface OneWayANOVACard extends _AbstractNSampTestCard {\n    // PolyJson type\n    type: 'oneway_anova';\n}\n\nexport namespace OneWayANOVACard {\n    export const type = 'oneway_anova';\n}\n\nexport function isOneWayANOVACard(toTest: Card): toTest is OneWayANOVACard { return OneWayANOVACard.type === toTest.type; }\n\nexport namespace OneWayANOVACard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.OneWayANOVACard$OneWayANOVACardResult\n     */\n    export interface OneWayANOVACardResult extends AbstractNSampTestCard._AbstractNSampleTestCardResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'oneway_anova';\n    }\n\n    export namespace OneWayANOVACardResult {\n        export const type = 'oneway_anova';\n    }\n\n    export function isOneWayANOVACardResult(toTest: CardResult): toTest is OneWayANOVACardResult { return OneWayANOVACardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Quantiles\n */\nexport interface Quantiles extends Computation._UnivariateComputation {\n    confidence?: number | null;\n    freqs: number[];\n\n    // PolyJson type\n    type: 'quantiles';\n}\n\nexport namespace Quantiles {\n    export const type = 'quantiles';\n}\n\nexport function isQuantiles(toTest: Computation): toTest is Quantiles { return Quantiles.type === toTest.type; }\n\nexport namespace Quantiles {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Quantiles$QuantileDesc\n     */\n    export interface QuantileDesc {\n        freq: number;\n        lower?: number | null;\n        quantile: number;\n        upper?: number | null;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Quantiles$QuantilesResult\n     */\n    export interface QuantilesResult extends _AvailableResult {\n        quantiles: Quantiles.QuantileDesc[];\n\n        // PolyJson type\n        type: 'quantiles';\n    }\n\n    export namespace QuantilesResult {\n        export const type = 'quantiles';\n    }\n\n    export function isQuantilesResult(toTest: ComputationResult): toTest is QuantilesResult { return QuantilesResult.type === toTest.type; }\n}","import {DataService} from './../server/data-service';\nimport {DatasetSelectionToMemTable} from './../../datasets/dataset-selection-to-mem-table';\nimport {ScriptStep} from './script-step';\nimport {StreamableDatasetSelection} from './../../datasets/streamable-dataset-selection';\n\n/**\n * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript\n */\nexport interface SerializedShakerScript {\n    analysisColumnData: {[key: string]: SerializedShakerScript.AnalysisColumnData};\n    coloring: SerializedShakerScript.TableColoring;\n    columnWidthsByName: {[key: string]: number};\n    columnsSelection: SerializedShakerScript.DisplayedColumnsSelection;\n    contextProjectKey: string;\n    explorationFilters: any[];\n    explorationSampling: SerializedShakerScript.ShakerExplorationSampleSettings;\n    exploreUIParams: {[key: string]: any};\n    fullSampleStatistics: SerializedShakerScript.FullSampleStatisticsConfig;\n    globalSearchQuery: string;\n    maxProcessedMemTableBytes: number;\n    origin: SerializedShakerScript.ShakerOrigin;\n    previewMode: SerializedShakerScript.PreviewMode;\n    recipeSchema: DataService.ShakerRecipeSchema;\n    sorting: SerializedShakerScript.TableSorting[];\n    steps: ScriptStep[];\n    vizSampling: SerializedShakerScript.RefreshableStreamableSelection;\n}\n\nexport namespace SerializedShakerScript {\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$DisplayedColumn\n     */\n    export interface DisplayedColumn {\n        d: boolean;\n        name: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$ValueColoringMode\n     */\n    export enum ValueColoringMode {\n        HASH = 'HASH',\n        RANK = 'RANK'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$TableColoringScheme\n     */\n    export enum TableColoringScheme {\n        MEANING_AND_STATUS = 'MEANING_AND_STATUS',\n        FILL_ONLY = 'FILL_ONLY',\n        INDIVIDUAL_COLUMNS_VALUES = 'INDIVIDUAL_COLUMNS_VALUES',\n        ALL_COLUMNS_VALUES = 'ALL_COLUMNS_VALUES',\n        SINGLE_COLUMN_VALUES = 'SINGLE_COLUMN_VALUES',\n        SINGLE_VALUE_HIGHLIGHT = 'SINGLE_VALUE_HIGHLIGHT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$TableSorting\n     */\n    export interface TableSorting {\n        ascending: boolean;\n        column: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$ShakerExplorationSampleSettings\n     */\n    export interface ShakerExplorationSampleSettings {\n        _refreshTrigger: number;\n        autoRefreshSample: boolean;\n        selection: DatasetSelectionToMemTable;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$TableColoring\n     */\n    export interface TableColoring {\n        individualColumns: string[];\n        scheme: SerializedShakerScript.TableColoringScheme;\n        singleColumn: string;\n        singleValue: string;\n        valueColoringMode: SerializedShakerScript.ValueColoringMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$ShakerOrigin\n     */\n    export enum ShakerOrigin {\n        DATASET_EXPLORE = 'DATASET_EXPLORE',\n        ANALYSIS = 'ANALYSIS',\n        PREPARE_RECIPE = 'PREPARE_RECIPE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$FullSampleStatisticsConfig\n     */\n    export interface FullSampleStatisticsConfig {\n        advanced: boolean;\n        basic: boolean;\n        computeCostFreeMetrics: boolean;\n        countDistinct: boolean;\n        engineConfig: any /* TODO: Missing translation of com.dataiku.dip.metrics.MetricsEngineDesc$MetricsEngineConfig */;\n        numberTopValues: number;\n        percentile: boolean;\n        updateOnAnalyzeBoxOpen: boolean;\n        validity: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$DisplayedColumnsMode\n     */\n    export enum DisplayedColumnsMode {\n        ALL = 'ALL',\n        SELECT = 'SELECT',\n        SELECT_AND_REORDER = 'SELECT_AND_REORDER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$ChartsEngine\n     */\n    export enum ChartsEngine {\n        LINO = 'LINO',\n        SQL = 'SQL',\n        SPARKSQL = 'SPARKSQL'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$AnalysisColumnData\n     */\n    export interface AnalysisColumnData {\n        comment: string;\n        customFields: {[key: string]: any};\n        meaning: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$RefreshableStreamableSelection\n     */\n    export interface RefreshableStreamableSelection {\n        _refreshTrigger: number;\n        autoRefreshSample: boolean;\n        selection: StreamableDatasetSelection;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$DisplayedColumnsSelection\n     */\n    export interface DisplayedColumnsSelection {\n        list: SerializedShakerScript.DisplayedColumn[];\n        mode: SerializedShakerScript.DisplayedColumnsMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.model.SerializedShakerScript$PreviewMode\n     */\n    export enum PreviewMode {\n        IMPACTED_ONLY = 'IMPACTED_ONLY',\n        ALL_ROWS = 'ALL_ROWS'\n    }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.UnionGrouping\n */\nexport interface UnionGrouping extends _Grouping {\n    groupings: Grouping[];\n\n    // PolyJson type\n    type: 'union';\n}\n\nexport namespace UnionGrouping {\n    export const type = 'union';\n}\n\nexport function isUnionGrouping(toTest: Grouping): toTest is UnionGrouping { return UnionGrouping.type === toTest.type; }\n\nexport namespace UnionGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.UnionGrouping$UnionGroupingResult\n     */\n    export interface UnionGroupingResult extends _GroupingResult {\n        groupings: GroupingResult[];\n\n        // PolyJson type\n        type: 'union';\n    }\n\n    export namespace UnionGroupingResult {\n        export const type = 'union';\n    }\n\n    export function isUnionGroupingResult(toTest: GroupingResult): toTest is UnionGroupingResult { return UnionGroupingResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.analysis.model.prediction.WeightParams\n */\nexport interface WeightParams {\n    sampleWeightVariable: string;\n    weightMethod: WeightParams.WeightMethod;\n}\n\nexport namespace WeightParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.WeightParams$WeightMethod\n     */\n    export enum WeightMethod {\n        NO_WEIGHTING = 'NO_WEIGHTING',\n        SAMPLE_WEIGHT = 'SAMPLE_WEIGHT',\n        CLASS_WEIGHT = 'CLASS_WEIGHT',\n        CLASS_AND_SAMPLE_WEIGHT = 'CLASS_AND_SAMPLE_WEIGHT'\n    }\n}","import {BoxPlotFragment} from './fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {_UnivariateCard} from './univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.SignTest1SampCard\n */\nexport interface SignTest1SampCard extends _UnivariateCard {\n    confidenceLevel: number;\n    hypothesizedMedian: number;\n\n    // PolyJson type\n    type: 'sign_test_1samp';\n}\n\nexport namespace SignTest1SampCard {\n    export const type = 'sign_test_1samp';\n}\n\nexport function isSignTest1SampCard(toTest: Card): toTest is SignTest1SampCard { return SignTest1SampCard.type === toTest.type; }\n\nexport namespace SignTest1SampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.SignTest1SampCard$SignTest1SampCardResult\n     */\n    export interface SignTest1SampCardResult extends _CardResult {\n        boxPlot: BoxPlotFragment;\n        nbLarger: number;\n        nbSmaller: number;\n        pvalue: number;\n\n        // PolyJson type\n        type: 'sign_test_1samp';\n    }\n\n    export namespace SignTest1SampCardResult {\n        export const type = 'sign_test_1samp';\n    }\n\n    export function isSignTest1SampCardResult(toTest: CardResult): toTest is SignTest1SampCardResult { return SignTest1SampCardResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Curve} from './../../compute/curves/curve';\nimport {FitCurve} from './../../compute/computations/bivariate/fit-curve';\nimport {_BivariateCard} from './bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.FitCurveCard\n */\nexport interface FitCurveCard extends _BivariateCard {\n    curves: Curve[];\n\n    // PolyJson type\n    type: 'fit_curve';\n}\n\nexport namespace FitCurveCard {\n    export const type = 'fit_curve';\n}\n\nexport function isFitCurveCard(toTest: Card): toTest is FitCurveCard { return FitCurveCard.type === toTest.type; }\n\nexport namespace FitCurveCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.FitCurveCard$FitCurveCardResult\n     */\n    export interface FitCurveCardResult extends _CardResult {\n        parametrizedCurves: FitCurve.FitCurveResult[];\n        xSeries: number[];\n        ySeries: number[];\n\n        // PolyJson type\n        type: 'fit_curve';\n    }\n\n    export namespace FitCurveCardResult {\n        export const type = 'fit_curve';\n    }\n\n    export function isFitCurveCardResult(toTest: CardResult): toTest is FitCurveCardResult { return FitCurveCardResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.analysis.model.core.SavedModelOriginInfo\n */\nexport interface SavedModelOriginInfo {\n    fullModelId: string;\n    jobId: string;\n    origin: SavedModelOriginInfo.Origin;\n}\n\nexport namespace SavedModelOriginInfo {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.core.SavedModelOriginInfo$Origin\n     */\n    export enum Origin {\n        EXPORTED_FROM_ANALYSIS = 'EXPORTED_FROM_ANALYSIS',\n        TRAINED_FROM_RECIPE = 'TRAINED_FROM_RECIPE'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.SignTest1Samp\n */\nexport interface SignTest1Samp extends Computation._UnivariateComputation {\n    hypothesizedMedian: number;\n\n    // PolyJson type\n    type: 'sign_test_1samp';\n}\n\nexport namespace SignTest1Samp {\n    export const type = 'sign_test_1samp';\n}\n\nexport function isSignTest1Samp(toTest: Computation): toTest is SignTest1Samp { return SignTest1Samp.type === toTest.type; }\n\nexport namespace SignTest1Samp {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.SignTest1Samp$SignTest1SampResult\n     */\n    export interface SignTest1SampResult extends _AvailableResult {\n        nbLarger: number;\n        nbSmaller: number;\n        pvalue: number;\n        pvalueAltGt: number;\n        pvalueAltLt: number;\n\n        // PolyJson type\n        type: 'sign_test_1samp';\n    }\n\n    export namespace SignTest1SampResult {\n        export const type = 'sign_test_1samp';\n    }\n\n    export function isSignTest1SampResult(toTest: ComputationResult): toTest is SignTest1SampResult { return SignTest1SampResult.type === toTest.type; }\n}","import {AlphanumFacetWithMap} from './../facet/alphanum-facet-with-map';\nimport {DataService} from './data-service';\nimport {NumericalVariableAnalysis} from './../analysis/numerical-variable-analysis';\nimport {SampleMetadata} from './sample-metadata';\nimport {SchemaColumn} from './../../../../../../../../dss-core/src/main/java/com/dataiku/dip/coremodel/schema-column';\nimport {SerializedShakerScript} from './../model/serialized-shaker-script';\nimport {SerializedTableChunk} from './serialized-table-chunk';\n\n/**\n * Generated from com.dataiku.dip.shaker.server.SerializedMemTableV2\n */\nexport interface SerializedMemTableV2 {\n    allColumnNames: string[];\n    coloringScheme: SerializedShakerScript.TableColoringScheme;\n    filterFacets: any /* TODO: Missing translation of com.dataiku.dip.pivot.backend.model.FilterFacet */[];\n    headers: SerializedMemTableV2.Header[];\n    initialChunk: SerializedTableChunk;\n    initialCols: number;\n    initialRows: number;\n    newColumnsSelection: SerializedShakerScript.DisplayedColumnsSelection;\n    newRecipeSchema: DataService.ShakerRecipeSchema;\n    previewRowsAdded: number;\n    previewRowsDeleted: number;\n    sampleBuildDate: number;\n    sampleMetadata: SampleMetadata;\n    scriptChange: any /* TODO: Missing translation of com.dataiku.dip.datalayer.memimpl.MemTable$MemTableChange */;\n    totalDeletedKeptRows: number;\n    totalDeletedRows: number;\n    totalEmptyCells: number;\n    totalFullCells: number;\n    totalKeptRows: number;\n    totalRows: number;\n    usedSampleId: string;\n    warnings: any /* TODO: Missing translation of com.dataiku.dip.warnings.WarningsContext$SerializedWarnings */;\n}\n\nexport namespace SerializedMemTableV2.Header {\n    /**\n     * Generated from com.dataiku.dip.shaker.server.SerializedMemTableV2$Header$ProgressBarChunk\n     */\n    export interface ProgressBarChunk {\n        cls: string;\n        lower: number;\n        ratio: number;\n        upper: number;\n        value: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.server.SerializedMemTableV2$Header$ProgressBarType\n     */\n    export enum ProgressBarType {\n        MEANING_VALIDITY = 'MEANING_VALIDITY',\n        MEANING_VALIDITY_MUTED = 'MEANING_VALIDITY_MUTED',\n        NONE = 'NONE',\n        VALUE_COLORING_ANUM = 'VALUE_COLORING_ANUM',\n        VALUE_COLORING_NUM = 'VALUE_COLORING_NUM'\n    }\n}\n\nexport namespace SerializedMemTableV2 {\n    /**\n     * Generated from com.dataiku.dip.shaker.server.SerializedMemTableV2$MeaningResult\n     */\n    export interface MeaningResult {\n        name: string;\n        nbEmpty: number;\n        nbNOK: number;\n        nbOK: number;\n        score: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.shaker.server.SerializedMemTableV2$Header\n     */\n    export interface Header {\n        analysisForColoring: NumericalVariableAnalysis;\n        datasetSchemaColumn: SchemaColumn;\n        deletedMeaningName?: string | null;\n        distinctValues: number;\n        facetForColoring: AlphanumFacetWithMap;\n        isDouble: boolean;\n        meaningOrigin: any /* TODO: Missing translation of com.dataiku.dip.datalayer.memimpl.MemColumn$MeaningOrigin */;\n        name: string;\n        ncharsToShow: number;\n        possibleTypes: SerializedMemTableV2.MeaningResult[];\n        progressBarChunks: SerializedMemTableV2.Header.ProgressBarChunk[];\n        progressBarType: SerializedMemTableV2.Header.ProgressBarType;\n        recipeSchemaColumn: DataService.ShakerRecipeSchemaColumn;\n        selectedType: SerializedMemTableV2.MeaningResult;\n        state: string;\n    }\n}","import {DatasetOrdering} from './../../../../../../../dss-core/src/main/java/com/dataiku/dip/input/dataset-ordering';\nimport {DatasetSelectionToMemTable} from './dataset-selection-to-mem-table';\nimport {FilterDesc} from './../../../../../../../dss-core/src/main/java/com/dataiku/dip/dataflow/exec/filter/filter-desc';\nimport {SamplingParam} from './sampling-param';\nimport {StreamableDatasetSelection} from './streamable-dataset-selection';\n\n/**\n * Generated from com.dataiku.dip.datasets.DatasetSelection\n */\nexport interface _DatasetSelection extends SamplingParam {\n    filter: FilterDesc;\n    latestPartitionsN: number;\n    ordering: DatasetOrdering;\n    partitionSelectionMethod: DatasetSelection.PartitionSelectionMethod;\n    selectedPartitions?: string[] | null;\n}\n\nexport type DatasetSelection = DatasetSelectionToMemTable | StreamableDatasetSelection;\n\nexport namespace DatasetSelection {\n    /**\n     * Generated from com.dataiku.dip.datasets.DatasetSelection$PartitionSelectionMethod\n     */\n    export enum PartitionSelectionMethod {\n        ALL = 'ALL',\n        SELECTED = 'SELECTED',\n        LATEST_N = 'LATEST_N'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Skewness\n */\nexport interface Skewness extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'skewness';\n}\n\nexport namespace Skewness {\n    export const type = 'skewness';\n}\n\nexport function isSkewness(toTest: Computation): toTest is Skewness { return Skewness.type === toTest.type; }\n\nexport namespace Skewness {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Skewness$SkewnessResult\n     */\n    export interface SkewnessResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'skewness';\n    }\n\n    export namespace SkewnessResult {\n        export const type = 'skewness';\n    }\n\n    export function isSkewnessResult(toTest: ComputationResult): toTest is SkewnessResult { return SkewnessResult.type === toTest.type; }\n}","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {TimeSeriesCard, _TimeSeriesCard} from './time-series-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.DurbinWatsonCard\n */\nexport interface DurbinWatsonCard extends _TimeSeriesCard {\n    // PolyJson type\n    type: 'durbin_watson';\n}\n\nexport namespace DurbinWatsonCard {\n    export const type = 'durbin_watson';\n}\n\nexport function isDurbinWatsonCard(toTest: Card): toTest is DurbinWatsonCard { return DurbinWatsonCard.type === toTest.type; }\n\nexport namespace DurbinWatsonCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.DurbinWatsonCard$DurbinWatsonCardResult\n     */\n    export interface DurbinWatsonCardResult extends TimeSeriesCard._TimeSeriesCardResult {\n        statistic: number;\n\n        // PolyJson type\n        type: 'durbin_watson';\n    }\n\n    export namespace DurbinWatsonCardResult {\n        export const type = 'durbin_watson';\n    }\n\n    export function isDurbinWatsonCardResult(toTest: CardResult): toTest is DurbinWatsonCardResult { return DurbinWatsonCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Entropy\n */\nexport interface Entropy extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'entropy';\n}\n\nexport namespace Entropy {\n    export const type = 'entropy';\n}\n\nexport function isEntropy(toTest: Computation): toTest is Entropy { return Entropy.type === toTest.type; }\n\nexport namespace Entropy {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Entropy$EntropyResult\n     */\n    export interface EntropyResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'entropy';\n    }\n\n    export namespace EntropyResult {\n        export const type = 'entropy';\n    }\n\n    export function isEntropyResult(toTest: ComputationResult): toTest is EntropyResult { return EntropyResult.type === toTest.type; }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Normal\n */\nexport interface Normal extends _Distribution {\n    // PolyJson type\n    type: 'normal';\n}\n\nexport namespace Normal {\n    export const type = 'normal';\n}\n\nexport function isNormal(toTest: Distribution): toTest is Normal { return Normal.type === toTest.type; }\n\nexport namespace Normal {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Normal$FittedNormal\n     */\n    export interface FittedNormal extends Distribution._FittedDistribution {\n        mean: number;\n        std: number;\n\n        // PolyJson type\n        type: 'normal';\n    }\n\n    export namespace FittedNormal {\n        export const type = 'normal';\n    }\n\n    export function isFittedNormal(toTest: Distribution.FittedDistribution): toTest is FittedNormal { return FittedNormal.type === toTest.type; }\n}","import {ComputationResult} from './computation-result';\nimport {_UnavailableResult} from './unavailable-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.NotComputedResult\n */\nexport interface NotComputedResult extends _UnavailableResult {\n    // PolyJson type\n    type: 'not_computed';\n}\n\nexport namespace NotComputedResult {\n    export const type = 'not_computed';\n}\n\nexport function isNotComputedResult(toTest: ComputationResult): toTest is NotComputedResult { return NotComputedResult.type === toTest.type; }","import {BinaryClassificationModelPerf} from './binary-classification-model-perf';\nimport {MulticlassModelPerf} from './multiclass-model-perf';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf\n */\nexport interface _DeepHubPredictionModelPerf {}\n\nexport type DeepHubPredictionModelPerf = DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf | DeepHubPredictionModelPerf.DeepHubImageClassificationPredictionModelPerf;\n\nexport namespace DeepHubPredictionModelPerf {\n    export const type = [\"DEEP_HUB_IMAGE_OBJECT_DETECTION\" , \"DEEP_HUB_IMAGE_CLASSIFICATION\"] as const;\n}\n\nexport namespace DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$PerIOUPerf$PerIOUMetrics\n     */\n    export interface PerIOUMetrics {\n        averagePrecision: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$PerIOUPerf$PrecisionRecallCurve\n     */\n    export interface PrecisionRecallCurve {\n        confidenceOfBest: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PrecisionRecallCurve.BestConfidence;\n        curve: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PrecisionRecallCurve.Curve;\n    }\n}\n\nexport namespace DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PrecisionRecallCurve {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$PerIOUPerf$PrecisionRecallCurve$Curve\n     */\n    export interface Curve {\n        confidence: number[];\n        f1: number[];\n        precision: number[];\n        recall: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$PerIOUPerf$PrecisionRecallCurve$BestConfidence\n     */\n    export interface BestConfidence {\n        f1: number;\n        precision: number;\n        recall: number;\n    }\n}\n\nexport namespace DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$PerIOUPerf\n     */\n    export interface PerIOUPerf {\n        global: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PerIOUMetrics;\n        iou: number;\n        optimalConfidenceScoreThreshold: number;\n        perCategory: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PerIOUMetrics[];\n        precisionRecallCurve: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf.PrecisionRecallCurve;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$ObjectDetectionMetrics\n     */\n    export interface ObjectDetectionMetrics {\n        averagePrecisionAllIOU: number;\n        averagePrecisionIOU50: number;\n        averagePrecisionIOU75: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf$ConfusionMatrix\n     */\n    export interface ConfusionMatrix {\n        confusionMatrices: number[][][][];\n        groundTruthsCounts: number[];\n        perConfidenceScoreDetectionsCount: number[][];\n    }\n}\n\nexport namespace DeepHubPredictionModelPerf.DeepHubImageClassificationPredictionModelPerf {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubImageClassificationPredictionModelPerf$ImageClassificationMetrics\n     */\n    export interface ImageClassificationMetrics {\n        accuracy: number;\n        f1: number;\n        hammingLoss: number;\n        logLoss: number;\n        mcalibrationLoss: number;\n        mrocAUC: number;\n        precision: number;\n        recall: number;\n    }\n}\n\nexport namespace DeepHubPredictionModelPerf {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubImageClassificationPredictionModelPerf\n     */\n    export interface DeepHubImageClassificationPredictionModelPerf extends _DeepHubPredictionModelPerf {\n        confusion_matrix: MulticlassModelPerf.MulticlassConfusion;\n        densityData: {[key: string]: BinaryClassificationModelPerf.ClassProbabilityDensityData};\n        metrics: DeepHubPredictionModelPerf.DeepHubImageClassificationPredictionModelPerf.ImageClassificationMetrics;\n        oneVsAllCalibrationCurves: {[key: string]: BinaryClassificationModelPerf.CalibrationBin[]};\n        oneVsAllCalibrationLoss: {[key: string]: number};\n        oneVsAllRocAUC: {[key: string]: number};\n        oneVsAllRocCurves: {[key: string]: BinaryClassificationModelPerf.RocVizBin[]};\n\n        // PolyJson type\n        type: 'DEEP_HUB_IMAGE_CLASSIFICATION';\n    }\n\n    export namespace DeepHubImageClassificationPredictionModelPerf {\n        export const type = 'DEEP_HUB_IMAGE_CLASSIFICATION';\n    }\n\n    export function isDeepHubImageClassificationPredictionModelPerf(toTest: DeepHubPredictionModelPerf): toTest is DeepHubImageClassificationPredictionModelPerf { return DeepHubImageClassificationPredictionModelPerf.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubPredictionModelPerf$DeepHubObjectDetectionPredictionModelPerf\n     */\n    export interface DeepHubObjectDetectionPredictionModelPerf extends _DeepHubPredictionModelPerf {\n        IOUThreshold: number[];\n        confidenceScoreThresholds: number[];\n        confusion_matrix: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.ConfusionMatrix;\n        metrics: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.ObjectDetectionMetrics;\n        optimalConfidenceScoreThreshold: number;\n        perCategoryMetrics: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.ObjectDetectionMetrics[];\n        perIOU: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf.PerIOUPerf[];\n\n        // PolyJson type\n        type: 'DEEP_HUB_IMAGE_OBJECT_DETECTION';\n    }\n\n    export namespace DeepHubObjectDetectionPredictionModelPerf {\n        export const type = 'DEEP_HUB_IMAGE_OBJECT_DETECTION';\n    }\n\n    export function isDeepHubObjectDetectionPredictionModelPerf(toTest: DeepHubPredictionModelPerf): toTest is DeepHubObjectDetectionPredictionModelPerf { return DeepHubObjectDetectionPredictionModelPerf.type === toTest.type; }\n}","import {BinningMode} from './../../models/binning-mode';\nimport {BoxPlotFragment} from './../fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {Variable} from './../../models/variable';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateBoxPlotCard\n */\nexport interface BivariateBoxPlotCard extends _BivariateCard {\n    binningMode: BinningMode;\n    customBinningBoundaries: number[];\n    groupOthers: boolean;\n    maxValues: number;\n\n    // PolyJson type\n    type: 'bivariate_box_plot';\n}\n\nexport namespace BivariateBoxPlotCard {\n    export const type = 'bivariate_box_plot';\n}\n\nexport function isBivariateBoxPlotCard(toTest: Card): toTest is BivariateBoxPlotCard { return BivariateBoxPlotCard.type === toTest.type; }\n\nexport namespace BivariateBoxPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateBoxPlotCard$BivariateBoxPlotCardResult\n     */\n    export interface BivariateBoxPlotCardResult extends _CardResult {\n        aggregatedVariable: Variable;\n        axisVals: Filter[];\n        axisVariable: Variable;\n        boxPlots: BoxPlotFragment[];\n\n        // PolyJson type\n        type: 'bivariate_box_plot';\n    }\n\n    export namespace BivariateBoxPlotCardResult {\n        export const type = 'bivariate_box_plot';\n    }\n\n    export function isBivariateBoxPlotCardResult(toTest: CardResult): toTest is BivariateBoxPlotCardResult { return BivariateBoxPlotCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.MaxTime\n */\nexport interface MaxTime extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'max_time';\n}\n\nexport namespace MaxTime {\n    export const type = 'max_time';\n}\n\nexport function isMaxTime(toTest: Computation): toTest is MaxTime { return MaxTime.type === toTest.type; }\n\nexport namespace MaxTime {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.MaxTime$MaxTimeResult\n     */\n    export interface MaxTimeResult extends _AvailableResult {\n        timestamp: string;\n\n        // PolyJson type\n        type: 'max_time';\n    }\n\n    export namespace MaxTimeResult {\n        export const type = 'max_time';\n    }\n\n    export function isMaxTimeResult(toTest: ComputationResult): toTest is MaxTimeResult { return MaxTimeResult.type === toTest.type; }\n}","import {ACF} from './acf';\nimport {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {PACF} from './pacf';\nimport {_AvailableResult} from './../available-result';\nimport {_TimeSeriesComputation} from './time-series-computation';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.CorrelationFunction\n */\nexport interface _CorrelationFunction extends _TimeSeriesComputation {}\n\nexport type CorrelationFunction = ACF | PACF;\n\nexport namespace CorrelationFunction {\n    export const type = [\"acf\" , \"pacf\"] as const;\n}\n\nexport function isCorrelationFunction(toTest: Computation): toTest is CorrelationFunction { return (CorrelationFunction.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace CorrelationFunction {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.CorrelationFunction$CorrelationFunctionResult\n     */\n    export interface _CorrelationFunctionResult extends _AvailableResult {\n        coefficients: number[];\n        confidenceIntervals: number[][];\n    }\n\n    export type CorrelationFunctionResult = PACF.PACFResult | ACF.ACFResult;\n\n    export namespace CorrelationFunctionResult {\n        export const type = [\"pacf\" , \"acf\"] as const;\n    }\n\n    export function isCorrelationFunctionResult(toTest: ComputationResult): toTest is CorrelationFunctionResult { return (CorrelationFunctionResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {Beta} from './beta';\nimport {Binomial} from './binomial';\nimport {Exponential} from './exponential';\nimport {Laplace} from './laplace';\nimport {LogNormal} from './log-normal';\nimport {NormalMixture} from './normal-mixture';\nimport {Normal} from './normal';\nimport {Pareto} from './pareto';\nimport {Poisson} from './poisson';\nimport {Triangular} from './triangular';\nimport {Weibull} from './weibull';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Distribution\n */\nexport interface _Distribution {}\n\nexport type Distribution = Beta | NormalMixture | Poisson | Normal | Weibull | Binomial | LogNormal | Laplace | Triangular | Pareto | Exponential;\n\nexport namespace Distribution {\n    export const type = [\"beta\" , \"normal_mixture\" , \"poisson\" , \"normal\" , \"weibull\" , \"binomial\" , \"lognormal\" , \"laplace\" , \"triangular\" , \"pareto\" , \"exponential\"] as const;\n}\n\nexport namespace Distribution {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Distribution$FittedDistribution\n     */\n    export interface _FittedDistribution {}\n\n    export type FittedDistribution = Pareto.FittedPareto | Beta.FittedBeta | Exponential.FittedExponential | Binomial.FittedBinomial | Weibull.FittedWeibull | LogNormal.FittedLogNormal | Laplace.FittedLaplace | Poisson.FittedPoisson | NormalMixture.FittedNormalMixture | Triangular.FittedTriangular | Normal.FittedNormal;\n\n    export namespace FittedDistribution {\n        export const type = [\"pareto\" , \"beta\" , \"exponential\" , \"binomial\" , \"weibull\" , \"lognormal\" , \"laplace\" , \"poisson\" , \"normal_mixture\" , \"triangular\" , \"normal\"] as const;\n    }\n\n    export function isFittedDistribution(toTest: Distribution.FittedDistribution): toTest is FittedDistribution { return (FittedDistribution.type as readonly unknown[]).includes(toTest.type); }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Exponential\n */\nexport interface Exponential extends _Distribution {\n    // PolyJson type\n    type: 'exponential';\n}\n\nexport namespace Exponential {\n    export const type = 'exponential';\n}\n\nexport function isExponential(toTest: Distribution): toTest is Exponential { return Exponential.type === toTest.type; }\n\nexport namespace Exponential {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Exponential$FittedExponential\n     */\n    export interface FittedExponential extends Distribution._FittedDistribution {\n        rate: number;\n\n        // PolyJson type\n        type: 'exponential';\n    }\n\n    export namespace FittedExponential {\n        export const type = 'exponential';\n    }\n\n    export function isFittedExponential(toTest: Distribution.FittedDistribution): toTest is FittedExponential { return FittedExponential.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.EmpiricalCDF\n */\nexport interface EmpiricalCDF extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'empirical_cdf';\n}\n\nexport namespace EmpiricalCDF {\n    export const type = 'empirical_cdf';\n}\n\nexport function isEmpiricalCDF(toTest: Computation): toTest is EmpiricalCDF { return EmpiricalCDF.type === toTest.type; }\n\nexport namespace EmpiricalCDF {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.EmpiricalCDF$EmpiricalCDFResult\n     */\n    export interface EmpiricalCDFResult extends _AvailableResult {\n        probs: number[];\n        xvals: number[];\n\n        // PolyJson type\n        type: 'empirical_cdf';\n    }\n\n    export namespace EmpiricalCDFResult {\n        export const type = 'empirical_cdf';\n    }\n\n    export function isEmpiricalCDFResult(toTest: ComputationResult): toTest is EmpiricalCDFResult { return EmpiricalCDFResult.type === toTest.type; }\n}","import {AnumGrouping} from './anum-grouping';\nimport {BinnedGrouping} from './binned-grouping';\nimport {CrossGrouping} from './cross-grouping';\nimport {MergeGrouping} from './merge-grouping';\nimport {SubsampledGrouping} from './subsampled-grouping';\nimport {SubsetGrouping} from './subset-grouping';\nimport {TopNTimeGrouping} from './top-ntime-grouping';\nimport {UnionGrouping} from './union-grouping';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.Grouping\n */\nexport interface _Grouping {}\n\nexport type Grouping = MergeGrouping | TopNTimeGrouping | CrossGrouping | AnumGrouping | SubsetGrouping | UnionGrouping | SubsampledGrouping | BinnedGrouping;\n\nexport namespace Grouping {\n    export const type = [\"merge\" , \"topn_time\" , \"cross\" , \"anum\" , \"subset\" , \"union\" , \"subsampled\" , \"binned\"] as const;\n}","/**\n * Generated from com.dataiku.dip.datasets.SamplingParam\n */\nexport interface SamplingParam {\n    column?: string | null;\n    maxReadUncompressedBytes: number;\n    maxRecords: number;\n    samplingMethod: SamplingParam.SamplingMethod;\n    targetRatio: number;\n    withinFirstN: number;\n}\n\nexport namespace SamplingParam {\n    /**\n     * Generated from com.dataiku.dip.datasets.SamplingParam$SamplingMethod\n     */\n    export enum SamplingMethod {\n        FULL = 'FULL',\n        HEAD_SEQUENTIAL = 'HEAD_SEQUENTIAL',\n        TAIL_SEQUENTIAL = 'TAIL_SEQUENTIAL',\n        RANDOM_FIXED_NB = 'RANDOM_FIXED_NB',\n        RANDOM_FIXED_RATIO = 'RANDOM_FIXED_RATIO',\n        COLUMN_BASED = 'COLUMN_BASED',\n        STRATIFIED_TARGET_NB_EXACT = 'STRATIFIED_TARGET_NB_EXACT',\n        STRATIFIED_TARGET_RATIO_EXACT = 'STRATIFIED_TARGET_RATIO_EXACT',\n        CLASS_REBALANCE_TARGET_NB_APPROX = 'CLASS_REBALANCE_TARGET_NB_APPROX',\n        CLASS_REBALANCE_TARGET_RATIO_APPROX = 'CLASS_REBALANCE_TARGET_RATIO_APPROX',\n        RANDOM_FIXED_NB_EXACT = 'RANDOM_FIXED_NB_EXACT',\n        RANDOM_FIXED_RATIO_EXACT = 'RANDOM_FIXED_RATIO_EXACT'\n    }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {_UnivariateCard} from './../univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.CategoricalHistogramCard\n */\nexport interface CategoricalHistogramCard extends _UnivariateCard {\n    groupOthers: boolean;\n    highlightFilter?: Filter | null;\n    maxValues: number;\n\n    // PolyJson type\n    type: 'categorical_histogram';\n}\n\nexport namespace CategoricalHistogramCard {\n    export const type = 'categorical_histogram';\n}\n\nexport function isCategoricalHistogramCard(toTest: Card): toTest is CategoricalHistogramCard { return CategoricalHistogramCard.type === toTest.type; }\n\nexport namespace CategoricalHistogramCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.CategoricalHistogramCard$CategoricalHistogramCardResult\n     */\n    export interface CategoricalHistogramCardResult extends _CardResult {\n        histogram: CategoricalHistogramCard.HistogramData;\n\n        // PolyJson type\n        type: 'categorical_histogram';\n    }\n\n    export namespace CategoricalHistogramCardResult {\n        export const type = 'categorical_histogram';\n    }\n\n    export function isCategoricalHistogramCardResult(toTest: CardResult): toTest is CategoricalHistogramCardResult { return CategoricalHistogramCardResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.CategoricalHistogramCard$HistogramData\n     */\n    export interface HistogramData {\n        counts: number[];\n        filters: Filter[];\n        highlightedCounts?: number[] | null;\n        totalCount: number;\n    }\n}","import {ContainerExecSelection} from './../containers/exec/container-exec-selection';\nimport {ExposedObject} from './exposed-object';\nimport {ObjectCustomMetadata} from './object-custom-metadata';\nimport {RecipeEnginesPreferenceConfig} from './recipe-engines-preference-config';\nimport {TaggableObjectsService} from './../server/services/taggable-objects-service';\n\n/**\n * Generated from com.dataiku.dip.coremodel.SerializedProject\n */\nexport interface SerializedProject extends TaggableObjectsService._TaggableObject {\n    additionalDashboardUsers: SerializedProject.AdditionalDashboardUsers;\n    bundleContainerSettings: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.BundleContainerSettings */;\n    bundleExporterSettings: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.BundleExporterSettings */;\n    customMeta: ObjectCustomMetadata;\n    dashboardAuthorizations: SerializedProject.ProjectDashboardAuthorizations;\n    exposedObjects: SerializedProject.ProjectExposedObjects;\n    generatingAppId: string;\n    generatingAppVersion: string;\n    imgColor: string;\n    imgPattern: number;\n    metrics: any /* TODO: Missing translation of com.dataiku.dip.metrics.ProbesSet */;\n    metricsChecks: any /* TODO: Missing translation of com.dataiku.dip.metrics.ChecksSet */;\n    name: string;\n    owner: string;\n    permissions: SerializedProject.PermissionItem[];\n    permissionsVersion: SerializedProject.PermissionsVersion;\n    projectAppType: SerializedProject.ProjectAppType;\n    projectKey: string;\n    projectStatus: string;\n    projectType: SerializedProject.ProjectType;\n    settings: SerializedProject.ProjectSettings;\n    showInitials: boolean;\n    tutorialId: string;\n    tutorialProject: boolean;\n}\n\nexport namespace SerializedProject.ReaderAuthorization {\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ReaderAuthorization$Mode\n     */\n    export enum Mode {\n        READ = 'READ',\n        RUN = 'RUN',\n        WRITE = 'WRITE'\n    }\n}\n\nexport namespace SerializedProject {\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectExposedObjects\n     */\n    export interface ProjectExposedObjects {\n        objects: ExposedObject[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectRelocationSettings\n     */\n    export interface ProjectRelocationSettings {\n        sqlLikeRecipesInitializationMode: SerializedProject.SQLLikeRecipeInitializationMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectWikiSettings\n     */\n    export interface ProjectWikiSettings {\n        promoted: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectSettings\n     */\n    export interface ProjectSettings {\n        cluster: any /* TODO: Missing translation of com.dataiku.dip.cluster.ClusterSelection */;\n        codeEnvs: any /* TODO: Missing translation of com.dataiku.dip.code.ProjectCodeEnvsSelection */;\n        container: ContainerExecSelection;\n        datasetsCreationSettings: any /* TODO: Missing translation of com.dataiku.dip.dao.GeneralSettingsDAO$ProjectDefaultDatasetCreationSettings */;\n        disableAutomaticTriggers: boolean;\n        dkuProperties: any /* TODO: Missing translation of com.dataiku.dip.connections.AbstractSQLConnection$CustomDatabaseProperty */[];\n        flowAnchorSourcesAndSinks: boolean;\n        flowBuildSettings: SerializedProject.FlowBuildSettings;\n        flowDisplaySettings: SerializedProject.FlowDisplaySettings;\n        gitCommitMode: any /* TODO: Missing translation of com.dataiku.dip.git.IProjectCommitModeService$ProjectCommitMode */;\n        hiveEngineCreationSettings: SerializedProject.ProjectHiveEngineCreationSettings;\n        impalaEngineCreationSettings: SerializedProject.ProjectImpalaEngineCreationSettings;\n        integrations: SerializedProject.IntegrationsSettings;\n        k8sCluster: any /* TODO: Missing translation of com.dataiku.dip.cluster.ClusterSelection */;\n        limitsSettings: SerializedProject.LimitsSettings;\n        recipeEnginesPreferences: RecipeEnginesPreferenceConfig;\n        relocationSettings: SerializedProject.ProjectRelocationSettings;\n        sparkEngineCreationSettings: SerializedProject.ProjectSparkEngineCreationSettings;\n        useRemoteGit: boolean;\n        virtualWebAppBackendSettings: any /* TODO: Missing translation of com.dataiku.dip.webapps.VirtualWebAppBackendSettings */;\n        wikiSettings: SerializedProject.ProjectWikiSettings;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectSparkEngineCreationSettings\n     */\n    export interface ProjectSparkEngineCreationSettings {\n        executionConfig: string;\n        executionEngine: any /* TODO: Missing translation of com.dataiku.dip.recipes.AbstractSparkRecipeParams$SparkExecutionEngine */;\n        useGlobal: boolean;\n        useGlobalMetastore: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$LimitsSettings\n     */\n    export interface LimitsSettings {\n        attachmentBytes: any /* TODO: Missing translation of com.dataiku.dip.dao.GeneralSettingsDAO$SoftHardLimit */;\n        memSampleBytes: any /* TODO: Missing translation of com.dataiku.dip.dao.GeneralSettingsDAO$SoftHardLimit */;\n        shakerMemTableBytes: any /* TODO: Missing translation of com.dataiku.dip.dao.GeneralSettingsDAO$SoftHardLimit */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectType\n     */\n    export enum ProjectType {\n        REGULAR = 'REGULAR',\n        BUNDLE_CONTAINER = 'BUNDLE_CONTAINER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$PermissionsVersion\n     */\n    export enum PermissionsVersion {\n        LEGACY = 'LEGACY',\n        V2 = 'V2'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectHiveEngineCreationSettings\n     */\n    export interface ProjectHiveEngineCreationSettings {\n        executionConfig: string;\n        executionEngine: any /* TODO: Missing translation of com.dataiku.dip.recipes.code.hive.HiveRecipeMeta$HiveExecutionEngine */;\n        useGlobal: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectIntegration\n     */\n    export interface ProjectIntegration {\n        active: boolean;\n        hook: any /* TODO: Missing translation of com.dataiku.dip.integrations.IntegrationHook */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$PermissionItem\n     */\n    export interface PermissionItem {\n        admin: boolean;\n        executeApp: boolean;\n        exportDatasetsData: boolean;\n        group: string;\n        manageAdditionalDashboardUsers: boolean;\n        manageDashboardAuthorizations: boolean;\n        manageExposedElements: boolean;\n        moderateDashboards: boolean;\n        readDashboards: boolean;\n        readProjectContent: boolean;\n        runScenarios: boolean;\n        shareToWorkspaces: boolean;\n        user: string;\n        writeDashboards: boolean;\n        writeProjectContent: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectDashboardAuthorizations\n     */\n    export interface ProjectDashboardAuthorizations {\n        allAuthorized: boolean;\n        authorizations: SerializedProject.ReaderAuthorization[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectAppType\n     */\n    export enum ProjectAppType {\n        REGULAR = 'REGULAR',\n        APP_INSTANCE = 'APP_INSTANCE',\n        APP_TEMPLATE = 'APP_TEMPLATE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$IntegrationsSettings\n     */\n    export interface IntegrationsSettings {\n        integrations: SerializedProject.ProjectIntegration[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$SQLLikeRecipeInitializationMode\n     */\n    export enum SQLLikeRecipeInitializationMode {\n        RESOLVED_TABLE_REFERENCES = 'RESOLVED_TABLE_REFERENCES',\n        VARIABILIZED_TABLE_REFERENCES = 'VARIABILIZED_TABLE_REFERENCES',\n        DATASET_REFERENCES = 'DATASET_REFERENCES'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ReaderAuthorization\n     */\n    export interface ReaderAuthorization {\n        modes: SerializedProject.ReaderAuthorization.Mode[];\n        objectRef: any /* TODO: Missing translation of com.dataiku.dip.SmartObjectRef */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$FlowBuildSettings\n     */\n    export interface FlowBuildSettings {\n        mergeSparkPipelines: boolean;\n        mergeSqlPipelines: boolean;\n        pruneBeforeSparkPipelines: boolean;\n        pruneBeforeSqlPipelines: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$ProjectImpalaEngineCreationSettings\n     */\n    export interface ProjectImpalaEngineCreationSettings {\n        streamMode: boolean;\n        useGlobal: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$AdditionalDashboardUsers\n     */\n    export interface AdditionalDashboardUsers {\n        users: SerializedProject.AdditionalDashboardUser[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$AdditionalDashboardUser\n     */\n    export interface AdditionalDashboardUser {\n        login: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$FlowDisplaySettings\n     */\n    export interface FlowDisplaySettings {\n        zonesGraphConnectZones: boolean;\n        zonesGraphRenderingAlgorithm: SerializedProject.FlowDisplaySettings.ZonesGraphRenderingAlgorithm;\n    }\n}\n\nexport namespace SerializedProject.FlowDisplaySettings {\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedProject$FlowDisplaySettings$ZonesGraphRenderingAlgorithm\n     */\n    export enum ZonesGraphRenderingAlgorithm {\n        DOT_OLDRANK = 'DOT_OLDRANK',\n        DOT_NEWRANK_FREERANK = 'DOT_NEWRANK_FREERANK'\n    }\n}","import {AllFilter} from './all-filter';\nimport {AndFilter} from './and-filter';\nimport {AnumFilter} from './anum-filter';\nimport {IntervalFilter} from './interval-filter';\nimport {MissingValueFilter} from './missing-value-filter';\nimport {NotFilter} from './not-filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.Filter\n */\nexport interface _Filter {\n    name?: string | null;\n}\n\nexport type Filter = AnumFilter | AllFilter | NotFilter | MissingValueFilter | AndFilter | IntervalFilter;\n\nexport namespace Filter {\n    export const type = [\"anum\" , \"all\" , \"not\" , \"missing\" , \"and\" , \"interval\"] as const;\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Pareto\n */\nexport interface Pareto extends _Distribution {\n    // PolyJson type\n    type: 'pareto';\n}\n\nexport namespace Pareto {\n    export const type = 'pareto';\n}\n\nexport function isPareto(toTest: Distribution): toTest is Pareto { return Pareto.type === toTest.type; }\n\nexport namespace Pareto {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Pareto$FittedPareto\n     */\n    export interface FittedPareto extends Distribution._FittedDistribution {\n        scale: number;\n        shape: number;\n\n        // PolyJson type\n        type: 'pareto';\n    }\n\n    export namespace FittedPareto {\n        export const type = 'pareto';\n    }\n\n    export function isFittedPareto(toTest: Distribution.FittedDistribution): toTest is FittedPareto { return FittedPareto.type === toTest.type; }\n}","import {CalibrationParams} from './calibration-params';\nimport {ClassicalPredictionPreprocessingParams} from './../preprocessing/classical-prediction-preprocessing-params';\nimport {DeepHubPreTrainModelingParams} from './deep-hub-pre-train-modeling-params';\nimport {MLAssertionsParams} from './assertions/mlassertions-params';\nimport {PartitionedModelParams} from './partitioned-model-params';\nimport {PredictionGuessPolicy} from './../../ml/prediction/guess/prediction-guess-policy';\nimport {PredictionModelingParams} from './prediction-modeling-params';\nimport {PredictionPreprocessingParams} from './../preprocessing/prediction-preprocessing-params';\nimport {SplitParams} from './../split-params';\nimport {TimeOrderingParams} from './time-ordering-params';\nimport {WeightParams} from './weight-params';\nimport {_MLTask} from './../mltask';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.PredictionMLTask\n */\nexport interface _PredictionMLTask extends _MLTask {\n    predictionType: PredictionMLTask.PredictionType;\n    splitParams: SplitParams;\n    targetVariable: string;\n}\n\nexport type PredictionMLTask = PredictionMLTask.ClassicalPredictionMLTask | PredictionMLTask.DeepHubPredictionMLTask;\n\nexport namespace PredictionMLTask {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionMLTask$ClassicalPredictionMLTask\n     */\n    export interface ClassicalPredictionMLTask extends _PredictionMLTask {\n        assertionsParams: MLAssertionsParams;\n        calibration: CalibrationParams;\n        guessPolicy: PredictionGuessPolicy;\n        modeling: PredictionModelingParams;\n        partitionedModel: PartitionedModelParams;\n        preprocessing: ClassicalPredictionPreprocessingParams;\n        time: TimeOrderingParams;\n        weight: WeightParams;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionMLTask$PredictionType\n     */\n    export enum PredictionType {\n        BINARY_CLASSIFICATION = 'BINARY_CLASSIFICATION',\n        REGRESSION = 'REGRESSION',\n        MULTICLASS = 'MULTICLASS',\n        DEEP_HUB_IMAGE_OBJECT_DETECTION = 'DEEP_HUB_IMAGE_OBJECT_DETECTION',\n        DEEP_HUB_IMAGE_CLASSIFICATION = 'DEEP_HUB_IMAGE_CLASSIFICATION'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionMLTask$DeepHubPredictionMLTask\n     */\n    export interface DeepHubPredictionMLTask extends _PredictionMLTask {\n        managedFolderSmartId: string;\n        modeling: DeepHubPreTrainModelingParams;\n        pathColumn: string;\n        preprocessing: PredictionPreprocessingParams;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.MoodTestNSamp\n */\nexport interface MoodTestNSamp extends Computation._UnivariateComputation {\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'mood_test_nsamp';\n}\n\nexport namespace MoodTestNSamp {\n    export const type = 'mood_test_nsamp';\n}\n\nexport function isMoodTestNSamp(toTest: Computation): toTest is MoodTestNSamp { return MoodTestNSamp.type === toTest.type; }\n\nexport namespace MoodTestNSamp {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.MoodTestNSamp$MoodTestNSampResult\n     */\n    export interface MoodTestNSampResult extends _AvailableResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'mood_test_nsamp';\n    }\n\n    export namespace MoodTestNSampResult {\n        export const type = 'mood_test_nsamp';\n    }\n\n    export function isMoodTestNSampResult(toTest: ComputationResult): toTest is MoodTestNSampResult { return MoodTestNSampResult.type === toTest.type; }\n}","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {TimeSeriesCard, _TimeSeriesCard} from './time-series-card';\nimport {UnitRootTestADFCard} from './unit-root-test-adfcard';\nimport {UnitRootTestKPSSCard} from './unit-root-test-kpsscard';\nimport {UnitRootTestZACard} from './unit-root-test-zacard';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestCard\n */\nexport interface _UnitRootTestCard extends _TimeSeriesCard {\n    confidenceLevel: number;\n    nLags?: number | null;\n}\n\nexport type UnitRootTestCard = UnitRootTestADFCard | UnitRootTestKPSSCard | UnitRootTestZACard;\n\nexport namespace UnitRootTestCard {\n    export const type = [\"unit_root_test_adf\" , \"unit_root_test_kpss\" , \"unit_root_test_za\"] as const;\n}\n\nexport function isUnitRootTestCard(toTest: Card): toTest is UnitRootTestCard { return (UnitRootTestCard.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace UnitRootTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestCard$UnitRootTestCardResult\n     */\n    export interface _UnitRootTestCardResult extends TimeSeriesCard._TimeSeriesCardResult {\n        pValue: number;\n        statistic: number;\n        usedLag: number;\n    }\n\n    export type UnitRootTestCardResult = UnitRootTestADFCard.UnitRootTestADFCardResult | UnitRootTestKPSSCard.UnitRootTestKPSSCardResult | UnitRootTestZACard.UnitRootTestZACardResult;\n\n    export namespace UnitRootTestCardResult {\n        export const type = [\"unit_root_test_adf\" , \"unit_root_test_kpss\" , \"unit_root_test_za\"] as const;\n    }\n\n    export function isUnitRootTestCardResult(toTest: CardResult): toTest is UnitRootTestCardResult { return (UnitRootTestCardResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {_Dimension} from './dimension';\n\n/**\n * Generated from com.dataiku.dip.partitioning.TimeDimension\n */\nexport interface TimeDimension extends _Dimension {\n    mappedPeriod: TimeDimension.Period;\n}\n\nexport namespace TimeDimension {\n    /**\n     * Generated from com.dataiku.dip.partitioning.TimeDimension$Period\n     */\n    export enum Period {\n        YEAR = 'YEAR',\n        MONTH = 'MONTH',\n        DAY = 'DAY',\n        HOUR = 'HOUR'\n    }\n}","export namespace DataAugmentationService {\n    /**\n     * Generated from com.dataiku.dip.analysis.coreservices.DataAugmentationService$AugmentationType\n     */\n    export enum AugmentationType {\n        AFFINE = 'AFFINE',\n        COLOR = 'COLOR',\n        CROP = 'CROP'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.coreservices.DataAugmentationService$AugmentedImage\n     */\n    export interface AugmentedImage {\n        failed: boolean;\n        imgDataAsBase64: string;\n    }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.common.CountGroups\n */\nexport interface CountGroups extends _Computation {\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'count_groups';\n}\n\nexport namespace CountGroups {\n    export const type = 'count_groups';\n}\n\nexport function isCountGroups(toTest: Computation): toTest is CountGroups { return CountGroups.type === toTest.type; }\n\nexport namespace CountGroups {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.common.CountGroups$CountGroupsResult\n     */\n    export interface CountGroupsResult extends _AvailableResult {\n        count: number;\n\n        // PolyJson type\n        type: 'count_groups';\n    }\n\n    export namespace CountGroupsResult {\n        export const type = 'count_groups';\n    }\n\n    export function isCountGroupsResult(toTest: ComputationResult): toTest is CountGroupsResult { return CountGroupsResult.type === toTest.type; }\n}","import {CategoricalHyperparameterDimension} from './categorical-hyperparameter-dimension';\nimport {FloatHyperparameterDimension} from './float-hyperparameter-dimension';\nimport {IntegerHyperparameterDimension} from './integer-hyperparameter-dimension';\nimport {MetricParams} from './metric-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams\n */\nexport interface PredictionModelingParams {\n    custom_mllib: PredictionModelingParams.MLLibCustomGridParams[];\n    custom_python: PredictionModelingParams.CustomPythonParams[];\n    decision_tree_classification: PredictionModelingParams.DecisionTreeHyperparametersSpace;\n    decision_tree_regression: PredictionModelingParams.DecisionTreeHyperparametersSpace;\n    deep_learning_sparkling: PredictionModelingParams.H2ODeepLearningGridParams;\n    extra_trees: PredictionModelingParams.RandomForestHyperparametersSpace;\n    gbm_sparkling: PredictionModelingParams.H2OGBMGridParams;\n    gbt_classification: PredictionModelingParams.GBTClassificationHyperparametersSpace;\n    gbt_regression: PredictionModelingParams.GBTRegressionHyperparametersSpace;\n    glm_sparkling: PredictionModelingParams.H2OGLMGridParams;\n    gridSearchParams: PredictionModelingParams.GridSearchParams;\n    grid_search: boolean;\n    keras: PredictionModelingParams.KerasCodeParams;\n    knn: PredictionModelingParams.KNNHyperparametersSpace;\n    lars_params: PredictionModelingParams.LarsHyperparametersSpace;\n    lasso_regression: PredictionModelingParams.LassoHyperparametersSpace;\n    leastsquare_regression: PredictionModelingParams.LeastSquareHyperparametersSpace;\n    lightgbm_classification: PredictionModelingParams.LightGBMHyperParametersSpace;\n    lightgbm_regression: PredictionModelingParams.LightGBMHyperParametersSpace;\n    logistic_regression: PredictionModelingParams.LogisticRegressionHyperparametersSpace;\n    max_ensemble_nodes_serialized: number;\n    metrics: MetricParams;\n    mllib_dt: PredictionModelingParams.MLLibDecisionTreeGridParams;\n    mllib_gbt: PredictionModelingParams.MLLibTreesEnsembleGridParams;\n    mllib_linreg: PredictionModelingParams.MLLibLinearRegressionGridParams;\n    mllib_logit: PredictionModelingParams.MLLibLogisticRegressionGridParams;\n    mllib_naive_bayes: PredictionModelingParams.MLLibNaiveBayesGridParams;\n    mllib_rf: PredictionModelingParams.MLLibTreesEnsembleGridParams;\n    nb_sparkling: PredictionModelingParams.H2ONaiveBayesGridParams;\n    neural_network: PredictionModelingParams.NeuralNetworkHyperparametersSpace;\n    plugin_python: {[key: string]: PredictionModelingParams.CustomPythonPluginParams};\n    random_forest_classification: PredictionModelingParams.RandomForestHyperparametersSpace;\n    random_forest_regression: PredictionModelingParams.RandomForestHyperparametersSpace;\n    rf_sparkling: PredictionModelingParams.H2ORandomForestGridParams;\n    ridge_regression: PredictionModelingParams.RidgeRegressionHyperparametersSpace;\n    sgd_classifier: PredictionModelingParams.SGDClassificationHyperparametersSpace;\n    sgd_regression: PredictionModelingParams.SGDRegressionHyperparametersSpace;\n    skipExpensiveReports: boolean;\n    svc_classifier: PredictionModelingParams.SVMHyperparametersSpace;\n    svm_regression: PredictionModelingParams.SVMHyperparametersSpace;\n    vertica_linear_regression: PredictionModelingParams.VerticaLinearRegParams;\n    vertica_logistic_regression: PredictionModelingParams.VerticaLogisticRegParams;\n    xgboost: PredictionModelingParams.XGBoostHyperparametersSpace;\n}\n\nexport namespace PredictionModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$SGDRegressionHyperparametersSpace\n     */\n    export interface SGDRegressionHyperparametersSpace extends PredictionModelingParams.SGDHyperparametersSpace {\n        epsilon: FloatHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibLogisticRegressionGridParams\n     */\n    export interface MLLibLogisticRegressionGridParams {\n        enabled: boolean;\n        enet_param: FloatHyperparameterDimension;\n        max_iter: number;\n        reg_param: FloatHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$H2ODeepLearningGridParams\n     */\n    export interface H2ODeepLearningGridParams {\n        activation: string;\n        dropout: boolean;\n        enabled: boolean;\n        epochs: number;\n        epsilon: number;\n        hidden: number[];\n        hidden_dropout_ratios: number[];\n        input_dropout_ratio: number;\n        l1: number;\n        l2: number;\n        max_w2: number;\n        momentum_ramp: number;\n        momentum_stable: number;\n        momentum_start: number;\n        rate: number;\n        rate_annealing: number;\n        rate_decay: number;\n        rho: number;\n        use_adaptative: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibDecisionTreeGridParams\n     */\n    export interface MLLibDecisionTreeGridParams {\n        cache_node_ids: boolean;\n        checkpoint_interval: number;\n        enabled: boolean;\n        max_bins: number;\n        max_depth: IntegerHyperparameterDimension;\n        max_memory_mb: number;\n        min_info_gain: number;\n        min_instance_per_node: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibRfImpurity\n     */\n    export enum MLLibRfImpurity {\n        gini = 'gini',\n        entropy = 'entropy',\n        variance = 'variance'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$TreeSelectionMode\n     */\n    export enum TreeSelectionMode {\n        AUTO = 'auto',\n        SQRT = 'sqrt',\n        LOG2 = 'log2',\n        NUMBER = 'number',\n        PROP = 'prop'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$HyperparametersSpace\n     */\n    export interface HyperparametersSpace {\n        enabled: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$RidgeSelectAlphaMode\n     */\n    export enum RidgeSelectAlphaMode {\n        MANUAL = 'MANUAL',\n        AUTO = 'AUTO'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibCustomGridParams\n     */\n    export interface MLLibCustomGridParams {\n        enabled: boolean;\n        initializationCode: string;\n        name: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$SGDHyperparametersSpace\n     */\n    export interface SGDHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        alpha: FloatHyperparameterDimension;\n        l1_ratio: number;\n        loss: CategoricalHyperparameterDimension;\n        max_iter: number;\n        n_jobs: number;\n        penalty: CategoricalHyperparameterDimension;\n        tol: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibTreesEnsembleGridParams\n     */\n    export interface MLLibTreesEnsembleGridParams {\n        cache_node_ids: boolean;\n        checkpoint_interval: number;\n        enabled: boolean;\n        impurity: PredictionModelingParams.MLLibRfImpurity;\n        max_bins: number;\n        max_depth: IntegerHyperparameterDimension;\n        max_memory_mb: number;\n        min_info_gain: number;\n        min_instance_per_node: number;\n        num_trees: IntegerHyperparameterDimension;\n        seed: number;\n        step_size: FloatHyperparameterDimension;\n        subsampling_rate: number;\n        subset_strategy: PredictionModelingParams.MLLibRfFeatureSubsetStrategy;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$RidgeRegressionHyperparametersSpace\n     */\n    export interface RidgeRegressionHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        alpha: FloatHyperparameterDimension;\n        alphaMode: PredictionModelingParams.RidgeSelectAlphaMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$H2OGBMGridParams\n     */\n    export interface H2OGBMGridParams {\n        balance_classes: boolean;\n        enabled: boolean;\n        family: string;\n        learn_rate: number;\n        max_after_balance_size: number;\n        max_depth: number;\n        min_rows: number;\n        nbins: number;\n        nbins_cats: number;\n        ntrees: number;\n        tweedie_power: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$VerticaLinearRegParams\n     */\n    export interface VerticaLinearRegParams {\n        enabled: boolean;\n        epsilon: number;\n        maxIterations: number;\n        optimizer: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GBTClassificationHyperparametersSpace\n     */\n    export interface GBTClassificationHyperparametersSpace extends PredictionModelingParams.GradientBoostedTreeHyperparametersSpace {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$DecisionTreeHyperparametersSpace\n     */\n    export interface DecisionTreeHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        criterion: CategoricalHyperparameterDimension;\n        max_depth: IntegerHyperparameterDimension;\n        min_samples_leaf: IntegerHyperparameterDimension;\n        splitter: CategoricalHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$KNNAlgorithm\n     */\n    export enum KNNAlgorithm {\n        AUTO = 'auto',\n        KD_TREE = 'kd_tree',\n        BALL_TREE = 'ball_tree',\n        BRUTE = 'brute'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LassoSelectAlphaMode\n     */\n    export enum LassoSelectAlphaMode {\n        MANUAL = 'MANUAL',\n        AUTO_CV = 'AUTO_CV',\n        AUTO_IC = 'AUTO_IC'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GpuCodeParams\n     */\n    export interface GpuCodeParams {\n        gpuList: number[];\n        useGPU: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LarsHyperparametersSpace\n     */\n    export interface LarsHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        K: number;\n        max_features: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$SVMHyperparametersSpace\n     */\n    export interface SVMHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        C: FloatHyperparameterDimension;\n        coef0: number;\n        custom_gamma: FloatHyperparameterDimension;\n        gamma: CategoricalHyperparameterDimension;\n        kernel: CategoricalHyperparameterDimension;\n        max_iter: number;\n        tol: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GradientBoostedTreeHyperparametersSpace\n     */\n    export interface GradientBoostedTreeHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        learning_rate: FloatHyperparameterDimension;\n        loss: CategoricalHyperparameterDimension;\n        max_depth: IntegerHyperparameterDimension;\n        max_feature_prop: FloatHyperparameterDimension;\n        max_features: IntegerHyperparameterDimension;\n        min_samples_leaf: IntegerHyperparameterDimension;\n        n_estimators: IntegerHyperparameterDimension;\n        selection_mode: PredictionModelingParams.TreeSelectionMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LassoHyperparametersSpace\n     */\n    export interface LassoHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        alpha: FloatHyperparameterDimension;\n        alphaMode: PredictionModelingParams.LassoSelectAlphaMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GridSearchParams\n     */\n    export interface GridSearchParams {\n        bayesianOptimizer: PredictionModelingParams.GridSearchParams.BayesianOptimizer;\n        code: string;\n        cvSeed: number;\n        distributed: boolean;\n        mode: PredictionModelingParams.GridSearchCrossValidationMode;\n        nContainers: number;\n        nFolds: number;\n        nIter: number;\n        nIterRandom: number;\n        nJobs: number;\n        randomized: boolean;\n        seed: number;\n        shuffleIterations: number;\n        splitRatio: number;\n        strategy: PredictionModelingParams.GridSearchParams.Strategy;\n        stratified: boolean;\n        timeout: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$KerasCodeParams\n     */\n    export interface KerasCodeParams extends PredictionModelingParams.GpuCodeParams {\n        advancedFitMode: boolean;\n        batchSize: number;\n        buildCode: string;\n        enabled: boolean;\n        epochs: number;\n        fitCode: string;\n        gpuAllowGrowth: boolean;\n        kerasInputs: string[];\n        perGPUMemoryFraction: number;\n        shuffleData: boolean;\n        stepsPerEpoch: number;\n        trainOnAllData: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$RandomForestHyperparametersSpace\n     */\n    export interface RandomForestHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        max_feature_prop: FloatHyperparameterDimension;\n        max_features: IntegerHyperparameterDimension;\n        max_tree_depth: IntegerHyperparameterDimension;\n        min_samples_leaf: IntegerHyperparameterDimension;\n        n_estimators: IntegerHyperparameterDimension;\n        n_jobs: number;\n        selection_mode: PredictionModelingParams.TreeSelectionMode;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibLinearRegressionGridParams\n     */\n    export interface MLLibLinearRegressionGridParams {\n        enabled: boolean;\n        enet_param: FloatHyperparameterDimension;\n        max_iter: number;\n        reg_param: FloatHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$H2ORandomForestGridParams\n     */\n    export interface H2ORandomForestGridParams {\n        enabled: boolean;\n        max_depth: number;\n        min_rows: number;\n        mtries: number;\n        nbins: number;\n        nbins_cats: number;\n        ntrees: number;\n        sample_rate: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LeastSquareHyperparametersSpace\n     */\n    export interface LeastSquareHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        n_jobs: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$CustomPythonParams\n     */\n    export interface CustomPythonParams {\n        code: string;\n        enabled: boolean;\n        name: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$H2ONaiveBayesGridParams\n     */\n    export interface H2ONaiveBayesGridParams {\n        enabled: boolean;\n        laplace: number;\n        min_std_dev: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LogisticRegressionClassifierMultiClass\n     */\n    export enum LogisticRegressionClassifierMultiClass {\n        MULTINOMIAL = 'multinomial',\n        OVR = 'ovr'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$CustomPythonPluginParams\n     */\n    export interface CustomPythonPluginParams extends PredictionModelingParams.HyperparametersSpace {\n        acceptsSparseMatrix: boolean;\n        elementId: string;\n        name: string;\n        params: {[key: string]: any};\n        pluginId: string;\n        pluginVersion: string;\n        supportsSampleWeights: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$VerticaLogisticRegParams\n     */\n    export interface VerticaLogisticRegParams {\n        enabled: boolean;\n        epsilon: number;\n        maxIterations: number;\n        optimizer: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$NeuralNetworkHyperparametersSpace\n     */\n    export interface NeuralNetworkHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        activation: string;\n        alpha: number;\n        auto_batch: boolean;\n        batch_size: number;\n        beta_1: number;\n        beta_2: number;\n        early_stopping: boolean;\n        epsilon: number;\n        layer_sizes: IntegerHyperparameterDimension;\n        learning_rate: string;\n        learning_rate_init: number;\n        max_iter: number;\n        momentum: number;\n        nesterovs_momentum: boolean;\n        power_t: number;\n        seed: number;\n        shuffle: boolean;\n        solver: string;\n        tol: number;\n        validation_fraction: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GridSearchCrossValidationMode\n     */\n    export enum GridSearchCrossValidationMode {\n        SHUFFLE = 'SHUFFLE',\n        KFOLD = 'KFOLD',\n        TIME_SERIES_KFOLD = 'TIME_SERIES_KFOLD',\n        TIME_SERIES_SINGLE_SPLIT = 'TIME_SERIES_SINGLE_SPLIT',\n        CUSTOM = 'CUSTOM'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LightGBMHyperParametersSpace\n     */\n    export interface LightGBMHyperParametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        boosting_type: CategoricalHyperparameterDimension;\n        colsample_bytree: FloatHyperparameterDimension;\n        early_stopping: boolean;\n        early_stopping_rounds: number;\n        learning_rate: FloatHyperparameterDimension;\n        max_depth: number;\n        min_child_samples: IntegerHyperparameterDimension;\n        min_child_weight: FloatHyperparameterDimension;\n        min_split_gain: FloatHyperparameterDimension;\n        n_estimators: IntegerHyperparameterDimension;\n        n_jobs: number;\n        num_leaves: IntegerHyperparameterDimension;\n        random_state: number;\n        reg_alpha: FloatHyperparameterDimension;\n        reg_lambda: FloatHyperparameterDimension;\n        subsample: number;\n        subsample_freq: number;\n        use_bagging: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibRfFeatureSubsetStrategy\n     */\n    export enum MLLibRfFeatureSubsetStrategy {\n        auto = 'auto',\n        all = 'all',\n        onethird = 'onethird',\n        sqrt = 'sqrt',\n        log2 = 'log2'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$SGDClassificationHyperparametersSpace\n     */\n    export interface SGDClassificationHyperparametersSpace extends PredictionModelingParams.SGDHyperparametersSpace {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GBTRegressionHyperparametersSpace\n     */\n    export interface GBTRegressionHyperparametersSpace extends PredictionModelingParams.GradientBoostedTreeHyperparametersSpace {}\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$LogisticRegressionHyperparametersSpace\n     */\n    export interface LogisticRegressionHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        C: FloatHyperparameterDimension;\n        multi_class: PredictionModelingParams.LogisticRegressionClassifierMultiClass;\n        n_jobs: number;\n        penalty: CategoricalHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$XGBoostHyperparametersSpace\n     */\n    export interface XGBoostHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        alpha: FloatHyperparameterDimension;\n        base_score: number;\n        booster: CategoricalHyperparameterDimension;\n        colsample_bylevel: FloatHyperparameterDimension;\n        colsample_bytree: FloatHyperparameterDimension;\n        cpu_tree_method: string;\n        early_stopping_rounds: number;\n        enable_cuda: boolean;\n        enable_early_stopping: boolean;\n        gamma: FloatHyperparameterDimension;\n        gpu_tree_method: string;\n        impute_missing: boolean;\n        lambda: FloatHyperparameterDimension;\n        learning_rate: FloatHyperparameterDimension;\n        max_delta_step: FloatHyperparameterDimension;\n        max_depth: IntegerHyperparameterDimension;\n        min_child_weight: FloatHyperparameterDimension;\n        missing: number;\n        n_estimators: number;\n        nthread: number;\n        objective: CategoricalHyperparameterDimension;\n        scale_pos_weight: number;\n        seed: number;\n        subsample: FloatHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$H2OGLMGridParams\n     */\n    export interface H2OGLMGridParams {\n        alpha: number;\n        beta_epsilon: number;\n        enabled: boolean;\n        family: string;\n        lambda: number;\n        max_iter: number;\n        tweedie_variance_power: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$MLLibNaiveBayesGridParams\n     */\n    export interface MLLibNaiveBayesGridParams {\n        enabled: boolean;\n        lambda: FloatHyperparameterDimension;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$KNNHyperparametersSpace\n     */\n    export interface KNNHyperparametersSpace extends PredictionModelingParams.HyperparametersSpace {\n        algorithm: PredictionModelingParams.KNNAlgorithm;\n        distance_weighting: boolean;\n        k: IntegerHyperparameterDimension;\n        leaf_size: number;\n        p: number;\n    }\n}\n\nexport namespace PredictionModelingParams.GridSearchParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GridSearchParams$Strategy\n     */\n    export enum Strategy {\n        GRID = 'GRID',\n        RANDOM = 'RANDOM',\n        BAYESIAN = 'BAYESIAN'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.PredictionModelingParams$GridSearchParams$BayesianOptimizer\n     */\n    export enum BayesianOptimizer {\n        SCIKIT_OPTIMIZE = 'SCIKIT_OPTIMIZE'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Covariance\n */\nexport interface Covariance extends Computation._BivariateComputation {\n    // PolyJson type\n    type: 'covariance';\n}\n\nexport namespace Covariance {\n    export const type = 'covariance';\n}\n\nexport function isCovariance(toTest: Computation): toTest is Covariance { return Covariance.type === toTest.type; }\n\nexport namespace Covariance {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Covariance$CovarianceResult\n     */\n    export interface CovarianceResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'covariance';\n    }\n\n    export namespace CovarianceResult {\n        export const type = 'covariance';\n    }\n\n    export function isCovarianceResult(toTest: ComputationResult): toTest is CovarianceResult { return CovarianceResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {CorrelationFunction, _CorrelationFunction} from './correlation-function';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.ACF\n */\nexport interface ACF extends _CorrelationFunction {\n    adjusted: boolean;\n    alpha: number;\n    nLags?: number | null;\n\n    // PolyJson type\n    type: 'acf';\n}\n\nexport namespace ACF {\n    export const type = 'acf';\n}\n\nexport function isACF(toTest: Computation): toTest is ACF { return ACF.type === toTest.type; }\n\nexport namespace ACF {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.ACF$ACFResult\n     */\n    export interface ACFResult extends CorrelationFunction._CorrelationFunctionResult {\n        // PolyJson type\n        type: 'acf';\n    }\n\n    export namespace ACFResult {\n        export const type = 'acf';\n    }\n\n    export function isACFResult(toTest: ComputationResult): toTest is ACFResult { return ACFResult.type === toTest.type; }\n}","import {BoxPlotFragment} from './fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {_UnivariateCard} from './univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.TZTest1SampCard\n */\nexport interface TZTest1SampCard extends _UnivariateCard {\n    confidenceLevel: number;\n    hypothesizedMean: number;\n    knownStdDev?: number | null;\n\n    // PolyJson type\n    type: 'ttest_ztest_1samp';\n}\n\nexport namespace TZTest1SampCard {\n    export const type = 'ttest_ztest_1samp';\n}\n\nexport function isTZTest1SampCard(toTest: Card): toTest is TZTest1SampCard { return TZTest1SampCard.type === toTest.type; }\n\nexport namespace TZTest1SampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.TZTest1SampCard$TZTest1SampCardResult\n     */\n    export interface TZTest1SampCardResult extends _CardResult {\n        boxPlot: BoxPlotFragment;\n        dof?: number | null;\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ttest_ztest_1samp';\n    }\n\n    export namespace TZTest1SampCardResult {\n        export const type = 'ttest_ztest_1samp';\n    }\n\n    export function isTZTest1SampCardResult(toTest: CardResult): toTest is TZTest1SampCardResult { return TZTest1SampCardResult.type === toTest.type; }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.common.MultiComputation\n */\nexport interface MultiComputation extends _Computation {\n    computations: Computation[];\n\n    // PolyJson type\n    type: 'multi';\n}\n\nexport namespace MultiComputation {\n    export const type = 'multi';\n}\n\nexport function isMultiComputation(toTest: Computation): toTest is MultiComputation { return MultiComputation.type === toTest.type; }\n\nexport namespace MultiComputation {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.common.MultiComputation$MultiComputationResult\n     */\n    export interface MultiComputationResult extends _AvailableResult {\n        results: ComputationResult[];\n\n        // PolyJson type\n        type: 'multi';\n    }\n\n    export namespace MultiComputationResult {\n        export const type = 'multi';\n    }\n\n    export function isMultiComputationResult(toTest: ComputationResult): toTest is MultiComputationResult { return MultiComputationResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.dataflow.exec.filter.FilterDesc\n */\nexport interface FilterDesc {\n    distinct: boolean;\n    enabled: boolean;\n    expression?: string | null;\n    expressionVariablesContext?: any /* TODO: Missing translation of com.dataiku.dip.variables.VariablesContext */ | null;\n    language?: FilterDesc.ExpressionLanguage | null;\n    uiData?: FilterDesc.FilterUiData | null;\n}\n\nexport namespace FilterDesc {\n    /**\n     * Generated from com.dataiku.dip.dataflow.exec.filter.FilterDesc$FilterUiCondition\n     */\n    export interface FilterUiCondition {\n        col: string;\n        date: string;\n        date2: string;\n        input: string;\n        num: number;\n        operator: string;\n        string: string;\n        subCondition: FilterDesc;\n        time: string;\n        time2: string;\n        unit: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dataflow.exec.filter.FilterDesc$ExpressionLanguage\n     */\n    export enum ExpressionLanguage {\n        GREL = 'GREL',\n        SQL = 'SQL'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dataflow.exec.filter.FilterDesc$FilterUiData\n     */\n    export interface FilterUiData {\n        conditions: FilterDesc.FilterUiCondition[];\n        mode: string;\n    }\n}","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {MannKendallTest} from './../../compute/computations/timeseries/mann-kendall-test';\nimport {TimeSeriesCard, _TimeSeriesCard} from './time-series-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.MannKendallTestCard\n */\nexport interface MannKendallTestCard extends _TimeSeriesCard {\n    confidenceLevel: number;\n\n    // PolyJson type\n    type: 'mann_kendall_test';\n}\n\nexport namespace MannKendallTestCard {\n    export const type = 'mann_kendall_test';\n}\n\nexport function isMannKendallTestCard(toTest: Card): toTest is MannKendallTestCard { return MannKendallTestCard.type === toTest.type; }\n\nexport namespace MannKendallTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.MannKendallTestCard$MannKendallTestCardResult\n     */\n    export interface MannKendallTestCardResult extends TimeSeriesCard._TimeSeriesCardResult {\n        intercept?: number | null;\n        pValue: number;\n        slope?: number | null;\n        statistic: number;\n        tau: number;\n        trend: MannKendallTest.Trend;\n\n        // PolyJson type\n        type: 'mann_kendall_test';\n    }\n\n    export namespace MannKendallTestCardResult {\n        export const type = 'mann_kendall_test';\n    }\n\n    export function isMannKendallTestCardResult(toTest: CardResult): toTest is MannKendallTestCardResult { return MannKendallTestCardResult.type === toTest.type; }\n}","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {UnitRootTestCard, _UnitRootTestCard} from './unit-root-test-card';\nimport {UnitRootTestZA} from './../../compute/computations/timeseries/unit-root-test-za';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestZACard\n */\nexport interface UnitRootTestZACard extends _UnitRootTestCard {\n    regressionMode: UnitRootTestZA.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_test_za';\n}\n\nexport namespace UnitRootTestZACard {\n    export const type = 'unit_root_test_za';\n}\n\nexport function isUnitRootTestZACard(toTest: Card): toTest is UnitRootTestZACard { return UnitRootTestZACard.type === toTest.type; }\n\nexport namespace UnitRootTestZACard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestZACard$UnitRootTestZACardResult\n     */\n    export interface UnitRootTestZACardResult extends UnitRootTestCard._UnitRootTestCardResult {\n        // PolyJson type\n        type: 'unit_root_test_za';\n    }\n\n    export namespace UnitRootTestZACardResult {\n        export const type = 'unit_root_test_za';\n    }\n\n    export function isUnitRootTestZACardResult(toTest: CardResult): toTest is UnitRootTestZACardResult { return UnitRootTestZACardResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {_Abstract2DPivotCard} from './abstract2-dpivot-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHistogramCard\n */\nexport interface BivariateHistogramCard extends _Abstract2DPivotCard {\n    highlightFilter?: Filter | null;\n\n    // PolyJson type\n    type: 'bivariate_histogram';\n}\n\nexport namespace BivariateHistogramCard {\n    export const type = 'bivariate_histogram';\n}\n\nexport function isBivariateHistogramCard(toTest: Card): toTest is BivariateHistogramCard { return BivariateHistogramCard.type === toTest.type; }\n\nexport namespace BivariateHistogramCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHistogramCard$BivariateHistogramData\n     */\n    export interface BivariateHistogramData {\n        counts: number[];\n        highlightedCounts?: number[] | null;\n        xBins: Filter[];\n        yBins: Filter[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHistogramCard$BivariateHistogramCardResult\n     */\n    export interface BivariateHistogramCardResult extends _CardResult {\n        histogram: BivariateHistogramCard.BivariateHistogramData;\n\n        // PolyJson type\n        type: 'bivariate_histogram';\n    }\n\n    export namespace BivariateHistogramCardResult {\n        export const type = 'bivariate_histogram';\n    }\n\n    export function isBivariateHistogramCardResult(toTest: CardResult): toTest is BivariateHistogramCardResult { return BivariateHistogramCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {UnitRootTest, _UnitRootTest} from './unit-root-test';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestKPSS\n */\nexport interface UnitRootTestKPSS extends _UnitRootTest {\n    nLags?: number | null;\n    regressionMode: UnitRootTestKPSS.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_kpss';\n}\n\nexport namespace UnitRootTestKPSS {\n    export const type = 'unit_root_kpss';\n}\n\nexport function isUnitRootTestKPSS(toTest: Computation): toTest is UnitRootTestKPSS { return UnitRootTestKPSS.type === toTest.type; }\n\nexport namespace UnitRootTestKPSS {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestKPSS$RegressionMode\n     */\n    export enum RegressionMode {\n        CONSTANT = 'CONSTANT',\n        CONSTANT_WITH_TREND = 'CONSTANT_WITH_TREND'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestKPSS$UnitRootTestKPSSResult\n     */\n    export interface UnitRootTestKPSSResult extends UnitRootTest._UnitRootTestResult {\n        // PolyJson type\n        type: 'unit_root_kpss';\n    }\n\n    export namespace UnitRootTestKPSSResult {\n        export const type = 'unit_root_kpss';\n    }\n\n    export function isUnitRootTestKPSSResult(toTest: ComputationResult): toTest is UnitRootTestKPSSResult { return UnitRootTestKPSSResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Kurtosis\n */\nexport interface Kurtosis extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'kurtosis';\n}\n\nexport namespace Kurtosis {\n    export const type = 'kurtosis';\n}\n\nexport function isKurtosis(toTest: Computation): toTest is Kurtosis { return Kurtosis.type === toTest.type; }\n\nexport namespace Kurtosis {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Kurtosis$KurtosisResult\n     */\n    export interface KurtosisResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'kurtosis';\n    }\n\n    export namespace KurtosisResult {\n        export const type = 'kurtosis';\n    }\n\n    export function isKurtosisResult(toTest: ComputationResult): toTest is KurtosisResult { return KurtosisResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.dashboards.model.Tile\n */\nexport interface Tile {\n    autoLoad: boolean;\n    borderColor?: string | null;\n    box: Tile.Box;\n    clickAction: Tile.TileClickAction;\n    displayMode?: Tile.TileDisplayMode | null;\n    imageId?: string | null;\n    insightId?: string | null;\n    insightType?: string | null;\n    resizeImageMode?: Tile.TileResizeImageMode | null;\n    showTitle: Tile.DisplayTitleMode;\n    targetInsightId?: string | null;\n    tileParams: any /* TODO: Missing translation of com.dataiku.dip.dashboards.model.TileParams */;\n    tileType: Tile.TileType;\n    title?: string | null;\n}\n\nexport namespace Tile {\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$TileType\n     */\n    export enum TileType {\n        INSIGHT = 'INSIGHT',\n        TEXT = 'TEXT',\n        IMAGE = 'IMAGE',\n        IFRAME = 'IFRAME'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$TileResizeImageMode\n     */\n    export enum TileResizeImageMode {\n        ORIG_SIZE = 'ORIG_SIZE',\n        FIT_SIZE = 'FIT_SIZE',\n        STRETCH_SIZE = 'STRETCH_SIZE',\n        FIT_CROP_SIZE = 'FIT_CROP_SIZE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$TileClickAction\n     */\n    export enum TileClickAction {\n        DO_NOTHING = 'DO_NOTHING',\n        OPEN_INSIGHT = 'OPEN_INSIGHT',\n        OPEN_OTHER_INSIGHT = 'OPEN_OTHER_INSIGHT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$DisplayTitleMode\n     */\n    export enum DisplayTitleMode {\n        YES = 'YES',\n        NO = 'NO',\n        MOUSEOVER = 'MOUSEOVER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$Box\n     */\n    export interface Box {\n        height: number;\n        left: number;\n        top: number;\n        width: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.Tile$TileDisplayMode\n     */\n    export enum TileDisplayMode {\n        INSIGHT = 'INSIGHT',\n        INSIGHT_DESC = 'INSIGHT_DESC',\n        IMAGE_AND_INSIGHT_DESC = 'IMAGE_AND_INSIGHT_DESC',\n        IMAGE = 'IMAGE'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Sum\n */\nexport interface Sum extends Computation._UnivariateComputation {\n    confidence?: number | null;\n\n    // PolyJson type\n    type: 'sum';\n}\n\nexport namespace Sum {\n    export const type = 'sum';\n}\n\nexport function isSum(toTest: Computation): toTest is Sum { return Sum.type === toTest.type; }\n\nexport namespace Sum {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Sum$SumResult\n     */\n    export interface SumResult extends _AvailableResult {\n        lower?: number | null;\n        upper?: number | null;\n        value: number;\n\n        // PolyJson type\n        type: 'sum';\n    }\n\n    export namespace SumResult {\n        export const type = 'sum';\n    }\n\n    export function isSumResult(toTest: ComputationResult): toTest is SumResult { return SumResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.eda.compute.stats.PValueAdjustmentMethod\n */\nexport enum PValueAdjustmentMethod {\n    BONFERRONI = 'BONFERRONI',\n    NONE = 'NONE',\n    HOLM_BONFERRONI = 'HOLM_BONFERRONI'\n}","export namespace DatasetNotebookService {\n    /**\n     * Generated from com.dataiku.dip.server.services.DatasetNotebookService$NotebookType\n     */\n    export enum NotebookType {\n        SQL = 'SQL',\n        JUPYTER = 'JUPYTER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.server.services.DatasetNotebookService$SimpleNotebook\n     */\n    export interface SimpleNotebook {\n        analyzedDataset: string;\n        associatedRecipe: string;\n        connection: string;\n        creator: string;\n        id: string;\n        language: string;\n        lastModified: number;\n        name: string;\n        projectKey: string;\n        type: DatasetNotebookService.NotebookType;\n    }\n}","/**\n * Generated from com.dataiku.dip.eda.worksheets.models.Variable\n */\nexport interface Variable {\n    name: string;\n    type: Variable.Type;\n}\n\nexport namespace Variable {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.models.Variable$Type\n     */\n    export enum Type {\n        CATEGORICAL = 'CATEGORICAL',\n        CONTINUOUS = 'CONTINUOUS'\n    }\n}","import {AbstractNSampTestCard, _AbstractNSampTestCard} from './common/abstract-nsamp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.MoodTestNSampCard\n */\nexport interface MoodTestNSampCard extends _AbstractNSampTestCard {\n    // PolyJson type\n    type: 'mood_nsamp';\n}\n\nexport namespace MoodTestNSampCard {\n    export const type = 'mood_nsamp';\n}\n\nexport function isMoodTestNSampCard(toTest: Card): toTest is MoodTestNSampCard { return MoodTestNSampCard.type === toTest.type; }\n\nexport namespace MoodTestNSampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.MoodTestNSampCard$MoodTestNSampCardResult\n     */\n    export interface MoodTestNSampCardResult extends AbstractNSampTestCard._AbstractNSampleTestCardResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'mood_nsamp';\n    }\n\n    export namespace MoodTestNSampCardResult {\n        export const type = 'mood_nsamp';\n    }\n\n    export function isMoodTestNSampCardResult(toTest: CardResult): toTest is MoodTestNSampCardResult { return MoodTestNSampCardResult.type === toTest.type; }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.CrossGrouping\n */\nexport interface CrossGrouping extends _Grouping {\n    groupings: Grouping[];\n\n    // PolyJson type\n    type: 'cross';\n}\n\nexport namespace CrossGrouping {\n    export const type = 'cross';\n}\n\nexport function isCrossGrouping(toTest: Grouping): toTest is CrossGrouping { return CrossGrouping.type === toTest.type; }\n\nexport namespace CrossGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.CrossGrouping$CrossGroupingResult\n     */\n    export interface CrossGroupingResult extends _GroupingResult {\n        groups: GroupingResult[];\n\n        // PolyJson type\n        type: 'cross';\n    }\n\n    export namespace CrossGroupingResult {\n        export const type = 'cross';\n    }\n\n    export function isCrossGroupingResult(toTest: GroupingResult): toTest is CrossGroupingResult { return CrossGroupingResult.type === toTest.type; }\n}","import {BivariateFrequencyTableFragment} from './fragments/bivariate-frequency-table-fragment';\nimport {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {_BivariateCard} from './bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.Chi2IndTestCard\n */\nexport interface Chi2IndTestCard extends _BivariateCard {\n    confidenceLevel: number;\n    maxValuesX: number;\n    maxValuesY: number;\n\n    // PolyJson type\n    type: 'chi2_independence_test';\n}\n\nexport namespace Chi2IndTestCard {\n    export const type = 'chi2_independence_test';\n}\n\nexport function isChi2IndTestCard(toTest: Card): toTest is Chi2IndTestCard { return Chi2IndTestCard.type === toTest.type; }\n\nexport namespace Chi2IndTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.Chi2IndTestCard$Chi2IndTestCardResult\n     */\n    export interface Chi2IndTestCardResult extends _CardResult {\n        dof: number;\n        freqTableData: BivariateFrequencyTableFragment;\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'chi2_independence_test';\n    }\n\n    export namespace Chi2IndTestCardResult {\n        export const type = 'chi2_independence_test';\n    }\n\n    export function isChi2IndTestCardResult(toTest: CardResult): toTest is Chi2IndTestCardResult { return Chi2IndTestCardResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Filter} from './../../../compute/filtering/filter';\n\nexport namespace GroupedCompiledCardWrapper {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.GroupedCompiledCardWrapper$GroupedCardResult\n     */\n    export interface GroupedCardResult extends _CardResult {\n        groups: Filter[];\n        results: CardResult[];\n\n        // PolyJson type\n        type: 'groups';\n    }\n\n    export namespace GroupedCardResult {\n        export const type = 'groups';\n    }\n\n    export function isGroupedCardResult(toTest: CardResult): toTest is GroupedCardResult { return GroupedCardResult.type === toTest.type; }\n}","import {AbstractHeaderCard, _AbstractHeaderCard} from './../common/abstract-header-card';\nimport {CardResult} from './../card-result';\nimport {Card} from './../card';\n\nexport namespace UnivariateHeaderCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateHeaderCard$UnivariateHeaderCardResult\n     */\n    export interface UnivariateHeaderCardResult extends AbstractHeaderCard._AbstractHeaderCardResult {\n        // PolyJson type\n        type: 'univariate_header';\n    }\n\n    export namespace UnivariateHeaderCardResult {\n        export const type = 'univariate_header';\n    }\n\n    export function isUnivariateHeaderCardResult(toTest: CardResult): toTest is UnivariateHeaderCardResult { return UnivariateHeaderCardResult.type === toTest.type; }\n}\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateHeaderCard\n */\nexport interface UnivariateHeaderCard extends _AbstractHeaderCard {\n    showBoxPlot: boolean;\n    showCumulativeDistributionFunction: boolean;\n    showFrequencyTable: boolean;\n    showHistogram: boolean;\n    showQuantile: boolean;\n    showSummary: boolean;\n\n    // PolyJson type\n    type: 'univariate_header';\n}\n\nexport namespace UnivariateHeaderCard {\n    export const type = 'univariate_header';\n}\n\nexport function isUnivariateHeaderCard(toTest: Card): toTest is UnivariateHeaderCard { return UnivariateHeaderCard.type === toTest.type; }","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.KsTest2Samp\n */\nexport interface KsTest2Samp extends Computation._UnivariateComputation {\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'ks_test_2samp';\n}\n\nexport namespace KsTest2Samp {\n    export const type = 'ks_test_2samp';\n}\n\nexport function isKsTest2Samp(toTest: Computation): toTest is KsTest2Samp { return KsTest2Samp.type === toTest.type; }\n\nexport namespace KsTest2Samp {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.KsTest2Samp$KsTest2SampResult\n     */\n    export interface KsTest2SampResult extends _AvailableResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ks_test_2samp';\n    }\n\n    export namespace KsTest2SampResult {\n        export const type = 'ks_test_2samp';\n    }\n\n    export function isKsTest2SampResult(toTest: ComputationResult): toTest is KsTest2SampResult { return KsTest2SampResult.type === toTest.type; }\n}","import {Curve, _Curve} from './curve';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.curves.PolynomialCurve\n */\nexport interface PolynomialCurve extends _Curve {\n    degree: number;\n\n    // PolyJson type\n    type: 'polynomial';\n}\n\nexport namespace PolynomialCurve {\n    export const type = 'polynomial';\n}\n\nexport function isPolynomialCurve(toTest: Curve): toTest is PolynomialCurve { return PolynomialCurve.type === toTest.type; }\n\nexport namespace PolynomialCurve {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.curves.PolynomialCurve$ParametrizedPolynomialCurve\n     */\n    export interface ParametrizedPolynomialCurve extends Curve._ParametrizedCurve {\n        coefs: number[];\n\n        // PolyJson type\n        type: 'polynomial';\n    }\n\n    export namespace ParametrizedPolynomialCurve {\n        export const type = 'polynomial';\n    }\n\n    export function isParametrizedPolynomialCurve(toTest: Curve.ParametrizedCurve): toTest is ParametrizedPolynomialCurve { return ParametrizedPolynomialCurve.type === toTest.type; }\n}","import {ACF} from './timeseries/acf';\nimport {Chi2IndTest} from './bivariate/chi2-ind-test';\nimport {ComputationResult, _ComputationResult} from './computation-result';\nimport {CountGroups} from './common/count-groups';\nimport {Count} from './common/count';\nimport {Covariance} from './bivariate/covariance';\nimport {DummyComputation} from './common/dummy-computation';\nimport {DurbinWatson} from './timeseries/durbin-watson';\nimport {EmpiricalCDF} from './univariate/empirical-cdf';\nimport {Entropy} from './univariate/entropy';\nimport {FetchValues} from './multivariate/fetch-values';\nimport {Fit2DDistribution} from './bivariate/fit2-ddistribution';\nimport {FitCurve} from './bivariate/fit-curve';\nimport {FitDistribution} from './univariate/fit-distribution';\nimport {GroupedComputation} from './common/grouped-computation';\nimport {KendallTau} from './bivariate/kendall-tau';\nimport {KsTest2Samp} from './univariate/ks-test2-samp';\nimport {Kurtosis} from './univariate/kurtosis';\nimport {MannKendallTest} from './timeseries/mann-kendall-test';\nimport {MaxTime} from './univariate/max-time';\nimport {Max} from './univariate/max';\nimport {Mean} from './univariate/mean';\nimport {MinTime} from './univariate/min-time';\nimport {Min} from './univariate/min';\nimport {MoodTestNSamp} from './univariate/mood-test-nsamp';\nimport {MultiComputation} from './common/multi-computation';\nimport {MutualInformation} from './bivariate/mutual-information';\nimport {OneWayAnova} from './univariate/one-way-anova';\nimport {PACF} from './timeseries/pacf';\nimport {PCA} from './multivariate/pca';\nimport {PairwiseMoodTest} from './univariate/pairwise-mood-test';\nimport {PairwiseTTest} from './univariate/pairwise-ttest';\nimport {Pearson} from './bivariate/pearson';\nimport {Quantiles} from './univariate/quantiles';\nimport {Sem} from './univariate/sem';\nimport {Shapiro} from './univariate/shapiro';\nimport {SignTest1Samp} from './univariate/sign-test1-samp';\nimport {Skewness} from './univariate/skewness';\nimport {Spearman} from './bivariate/spearman';\nimport {StdDev} from './univariate/std-dev';\nimport {Sum} from './univariate/sum';\nimport {TTest1Samp} from './univariate/ttest1-samp';\nimport {TestDistribution} from './univariate/test-distribution';\nimport {TimeStep} from './univariate/time-step';\nimport {UnitRootTestADF} from './timeseries/unit-root-test-adf';\nimport {UnitRootTestKPSS} from './timeseries/unit-root-test-kpss';\nimport {UnitRootTestZA} from './timeseries/unit-root-test-za';\nimport {Variance} from './univariate/variance';\nimport {ZTest1Samp} from './univariate/ztest1-samp';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.AvailableResult\n */\nexport interface _AvailableResult extends _ComputationResult {\n    warnings?: string[] | null;\n}\n\nexport type AvailableResult = PACF.PACFResult | MoodTestNSamp.MoodTestNSampResult | KsTest2Samp.KsTest2SampResult | KendallTau.KendallTauResult | UnitRootTestZA.UnitRootTestZAResult | DurbinWatson.DurbinWatsonResult | TestDistribution.TestDistributionResult | PCA.PCAResult | FitCurve.FitCurveResult | Quantiles.QuantilesResult | UnitRootTestADF.UnitRootTestADFResult | StdDev.StdDevResult | EmpiricalCDF.EmpiricalCDFResult | PairwiseTTest.PairwiseTTestResult | OneWayAnova.OneWayAnovaResult | Max.MaxResult | Sem.SemResult | Sum.SumResult | CountGroups.CountGroupsResult | FitDistribution.FitDistributionResult | ZTest1Samp.ZTest1SampResult | Entropy.EntropyResult | MutualInformation.MutualInformationResult | MannKendallTest.MannKendallTestResult | Covariance.CovarianceResult | ACF.ACFResult | UnitRootTestKPSS.UnitRootTestKPSSResult | SignTest1Samp.SignTest1SampResult | FetchValues.FetchValuesResult | Shapiro.ShapiroResult | GroupedComputation.GroupedComputationResult | Min.MinResult | Pearson.PearsonResult | TTest1Samp.TTest1SampResult | MinTime.MinTimeResult | TimeStep.TimeStepResult | PairwiseMoodTest.PairwiseMoodTestResult | Count.CountResult | Kurtosis.KurtosisResult | DummyComputation.DummyComputationResult | MaxTime.MaxTimeResult | Fit2DDistribution.Fit2DDistributionResult | MultiComputation.MultiComputationResult | Mean.MeanResult | Skewness.SkewnessResult | Spearman.SpearmanResult | Chi2IndTest.Chi2IndTestResult | Variance.VarianceResult;\n\nexport namespace AvailableResult {\n    export const type = [\"pacf\" , \"mood_test_nsamp\" , \"ks_test_2samp\" , \"kendall_tau\" , \"unit_root_za\" , \"durbin_watson\" , \"test_distribution\" , \"pca\" , \"fit_curve\" , \"quantiles\" , \"unit_root_adf\" , \"std_dev\" , \"empirical_cdf\" , \"pairwise_ttest\" , \"one_way_anova\" , \"max\" , \"sem\" , \"sum\" , \"count_groups\" , \"fit_distribution\" , \"ztest_1samp\" , \"entropy\" , \"mutual_information\" , \"mann_kendall\" , \"covariance\" , \"acf\" , \"unit_root_kpss\" , \"sign_test_1samp\" , \"fetch_values\" , \"shapiro\" , \"grouped\" , \"min\" , \"pearson\" , \"ttest_1samp\" , \"min_time\" , \"time_step\" , \"pairwise_mood_test\" , \"count\" , \"kurtosis\" , \"dummy\" , \"max_time\" , \"fit_2d_distribution\" , \"multi\" , \"mean\" , \"skewness\" , \"spearman\" , \"chi2_ind_test\" , \"variance\"] as const;\n}\n\nexport function isAvailableResult(toTest: ComputationResult): toTest is AvailableResult { return (AvailableResult.type as readonly unknown[]).includes(toTest.type); }","import {AnumGrouping} from './anum-grouping';\nimport {BinnedGrouping} from './binned-grouping';\nimport {CrossGrouping} from './cross-grouping';\nimport {MergeGrouping} from './merge-grouping';\nimport {SubsampledGrouping} from './subsampled-grouping';\nimport {SubsetGrouping} from './subset-grouping';\nimport {TopNTimeGrouping} from './top-ntime-grouping';\nimport {UnionGrouping} from './union-grouping';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.GroupingResult\n */\nexport interface _GroupingResult {}\n\nexport type GroupingResult = CrossGrouping.CrossGroupingResult | TopNTimeGrouping.TopNTimeGroupingResult | SubsetGrouping.SubsetGroupingResult | BinnedGrouping.BinnedGroupingResult | UnionGrouping.UnionGroupingResult | MergeGrouping.MergeGroupingResult | AnumGrouping.AnumGroupingResult | SubsampledGrouping.SubsampledGroupingResult;\n\nexport namespace GroupingResult {\n    export const type = [\"cross\" , \"topn_time\" , \"subset\" , \"binned\" , \"union\" , \"merge\" , \"anum\" , \"subsampled\"] as const;\n}","import {Card, _Card} from './card';\nimport {CardResult, _CardResult} from './card-result';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.PlaygroundCard\n */\nexport interface PlaygroundCard extends _Card {\n    rawComputation: string;\n\n    // PolyJson type\n    type: 'playground';\n}\n\nexport namespace PlaygroundCard {\n    export const type = 'playground';\n}\n\nexport function isPlaygroundCard(toTest: Card): toTest is PlaygroundCard { return PlaygroundCard.type === toTest.type; }\n\nexport namespace PlaygroundCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.PlaygroundCard$PlaygroundCardResult\n     */\n    export interface PlaygroundCardResult extends _CardResult {\n        errorMessage?: string | null;\n        rawResult?: string | null;\n\n        // PolyJson type\n        type: 'playground';\n    }\n\n    export namespace PlaygroundCardResult {\n        export const type = 'playground';\n    }\n\n    export function isPlaygroundCardResult(toTest: CardResult): toTest is PlaygroundCardResult { return PlaygroundCardResult.type === toTest.type; }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.common.Count\n */\nexport interface Count extends _Computation {\n    // PolyJson type\n    type: 'count';\n}\n\nexport namespace Count {\n    export const type = 'count';\n}\n\nexport function isCount(toTest: Computation): toTest is Count { return Count.type === toTest.type; }\n\nexport namespace Count {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.common.Count$CountResult\n     */\n    export interface CountResult extends _AvailableResult {\n        count: number;\n\n        // PolyJson type\n        type: 'count';\n    }\n\n    export namespace CountResult {\n        export const type = 'count';\n    }\n\n    export function isCountResult(toTest: ComputationResult): toTest is CountResult { return CountResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.analysis.model.prediction.CalibrationParams\n */\nexport interface CalibrationParams {\n    calibrationMethod: CalibrationParams.CalibrationMethod;\n}\n\nexport namespace CalibrationParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.CalibrationParams$CalibrationMethod\n     */\n    export enum CalibrationMethod {\n        NO_CALIBRATION = 'NO_CALIBRATION',\n        SIGMOID = 'SIGMOID',\n        ISOTONIC = 'ISOTONIC'\n    }\n}","import {_PreprocessingParams} from './preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.ClusteringPreprocessingParams\n */\nexport interface ClusteringPreprocessingParams extends _PreprocessingParams {\n    outliers: ClusteringPreprocessingParams.OutliersParams;\n    reduce: ClusteringPreprocessingParams.ReductionParams;\n}\n\nexport namespace ClusteringPreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClusteringPreprocessingParams$ReductionParams\n     */\n    export interface ReductionParams {\n        disable: boolean;\n        enable: boolean;\n        kept_variance: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClusteringPreprocessingParams$OutliersParams\n     */\n    export interface OutliersParams {\n        method: ClusteringPreprocessingParams.OutliersHandlingMethod;\n        min_cum_ratio: number;\n        min_n: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ClusteringPreprocessingParams$OutliersHandlingMethod\n     */\n    export enum OutliersHandlingMethod {\n        NONE = 'NONE',\n        DROP = 'DROP',\n        CLUSTER = 'CLUSTER'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Curve} from './../../curves/curve';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.FitCurve\n */\nexport interface FitCurve extends Computation._BivariateComputation {\n    curve: Curve;\n\n    // PolyJson type\n    type: 'fit_curve';\n}\n\nexport namespace FitCurve {\n    export const type = 'fit_curve';\n}\n\nexport function isFitCurve(toTest: Computation): toTest is FitCurve { return FitCurve.type === toTest.type; }\n\nexport namespace FitCurve {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.FitCurve$FitCurveResult\n     */\n    export interface FitCurveResult extends _AvailableResult {\n        parametrized: Curve.ParametrizedCurve;\n        plot: FitCurve.PlotData;\n        scores: FitCurve.ScoreData;\n\n        // PolyJson type\n        type: 'fit_curve';\n    }\n\n    export namespace FitCurveResult {\n        export const type = 'fit_curve';\n    }\n\n    export function isFitCurveResult(toTest: ComputationResult): toTest is FitCurveResult { return FitCurveResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.FitCurve$ScoreData\n     */\n    export interface ScoreData {\n        r2: number;\n        rmse: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.FitCurve$PlotData\n     */\n    export interface PlotData {\n        x: number[];\n        y: number[];\n    }\n}","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {UnitRootTestADF} from './../../compute/computations/timeseries/unit-root-test-adf';\nimport {UnitRootTestCard, _UnitRootTestCard} from './unit-root-test-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestADFCard\n */\nexport interface UnitRootTestADFCard extends _UnitRootTestCard {\n    regressionMode: UnitRootTestADF.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_test_adf';\n}\n\nexport namespace UnitRootTestADFCard {\n    export const type = 'unit_root_test_adf';\n}\n\nexport function isUnitRootTestADFCard(toTest: Card): toTest is UnitRootTestADFCard { return UnitRootTestADFCard.type === toTest.type; }\n\nexport namespace UnitRootTestADFCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.UnitRootTestADFCard$UnitRootTestADFCardResult\n     */\n    export interface UnitRootTestADFCardResult extends UnitRootTestCard._UnitRootTestCardResult {\n        // PolyJson type\n        type: 'unit_root_test_adf';\n    }\n\n    export namespace UnitRootTestADFCardResult {\n        export const type = 'unit_root_test_adf';\n    }\n\n    export function isUnitRootTestADFCardResult(toTest: CardResult): toTest is UnitRootTestADFCardResult { return UnitRootTestADFCardResult.type === toTest.type; }\n}","import {_FeaturePreprocessingParams} from './feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.TextFeaturePreprocessingParams\n */\nexport interface TextFeaturePreprocessingParams extends _FeaturePreprocessingParams {\n    customStopWords: string;\n    customVectorizerCode: string;\n    hashSVDSVDComponents: number;\n    hashSVDSVDLimit: number;\n    hashSize: number;\n    maxRowsRatio: number;\n    maxSequenceLength: number;\n    maxWords: number;\n    minRowsRatio: number;\n    ngramMaxSize: number;\n    ngramMinSize: number;\n    sentenceEmbeddingBatchSize: number;\n    sentenceEmbeddingModel: string;\n    stopWordsMode: TextFeaturePreprocessingParams.StopWordsMode;\n    text_handling: TextFeaturePreprocessingParams.TextHandlingMethod;\n    useCustomVectorizer: boolean;\n}\n\nexport namespace TextFeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.TextFeaturePreprocessingParams$StopWordsMode\n     */\n    export enum StopWordsMode {\n        NONE = 'NONE',\n        CUSTOM = 'CUSTOM',\n        AFRIKAANS = 'AFRIKAANS',\n        ALBANIAN = 'ALBANIAN',\n        ARABIC = 'ARABIC',\n        ARMENIAN = 'ARMENIAN',\n        BASQUE = 'BASQUE',\n        BENGALI = 'BENGALI',\n        BULGARIAN = 'BULGARIAN',\n        CATALAN = 'CATALAN',\n        CHINESE = 'CHINESE',\n        CROATIAN = 'CROATIAN',\n        CZECH = 'CZECH',\n        DANISH = 'DANISH',\n        DUTCH = 'DUTCH',\n        ENGLISH = 'ENGLISH',\n        ENGLISH_2021 = 'ENGLISH_2021',\n        ESTONIAN = 'ESTONIAN',\n        FINNISH = 'FINNISH',\n        FRENCH = 'FRENCH',\n        FRENCH_2021 = 'FRENCH_2021',\n        GERMAN = 'GERMAN',\n        GREEK = 'GREEK',\n        GUJARATI = 'GUJARATI',\n        HEBREW = 'HEBREW',\n        HINDI = 'HINDI',\n        HUNGARIAN = 'HUNGARIAN',\n        ICELANDIC = 'ICELANDIC',\n        INDONESIAN = 'INDONESIAN',\n        IRISH = 'IRISH',\n        ITALIAN = 'ITALIAN',\n        JAPANESE = 'JAPANESE',\n        KANNADA = 'KANNADA',\n        KOREAN = 'KOREAN',\n        LATVIAN = 'LATVIAN',\n        LITHUANIAN = 'LITHUANIAN',\n        LUXEMBOURGISH = 'LUXEMBOURGISH',\n        MACEDONIAN = 'MACEDONIAN',\n        MALAYALAM = 'MALAYALAM',\n        MARATHI = 'MARATHI',\n        NEPALI = 'NEPALI',\n        NORWEGIAN = 'NORWEGIAN',\n        PERSIAN = 'PERSIAN',\n        POLISH = 'POLISH',\n        PORTUGUESE = 'PORTUGUESE',\n        ROMANIAN = 'ROMANIAN',\n        RUSSIAN = 'RUSSIAN',\n        SANSKRIT = 'SANSKRIT',\n        SERBIAN = 'SERBIAN',\n        SINHALA = 'SINHALA',\n        SLOVAK = 'SLOVAK',\n        SLOVENIAN = 'SLOVENIAN',\n        SPANISH = 'SPANISH',\n        SWEDISH = 'SWEDISH',\n        TAGALOG = 'TAGALOG',\n        TAMIL = 'TAMIL',\n        TATAR = 'TATAR',\n        TELUGU = 'TELUGU',\n        THAI = 'THAI',\n        TURKISH = 'TURKISH',\n        UKRAINIAN = 'UKRAINIAN',\n        URDU = 'URDU',\n        VIETNAMESE = 'VIETNAMESE',\n        YORUBA = 'YORUBA'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.TextFeaturePreprocessingParams$TextHandlingMethod\n     */\n    export enum TextHandlingMethod {\n        TOKENIZE_HASHING = 'TOKENIZE_HASHING',\n        TOKENIZE_HASHING_SVD = 'TOKENIZE_HASHING_SVD',\n        TOKENIZE_COUNTS = 'TOKENIZE_COUNTS',\n        TOKENIZE_TFIDF = 'TOKENIZE_TFIDF',\n        SENTENCE_EMBEDDING = 'SENTENCE_EMBEDDING',\n        CUSTOM = 'CUSTOM'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\nimport {_TimeSeriesComputation} from './time-series-computation';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.DurbinWatson\n */\nexport interface DurbinWatson extends _TimeSeriesComputation {\n    // PolyJson type\n    type: 'durbin_watson';\n}\n\nexport namespace DurbinWatson {\n    export const type = 'durbin_watson';\n}\n\nexport function isDurbinWatson(toTest: Computation): toTest is DurbinWatson { return DurbinWatson.type === toTest.type; }\n\nexport namespace DurbinWatson {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.DurbinWatson$DurbinWatsonResult\n     */\n    export interface DurbinWatsonResult extends _AvailableResult {\n        statistic: number;\n\n        // PolyJson type\n        type: 'durbin_watson';\n    }\n\n    export namespace DurbinWatsonResult {\n        export const type = 'durbin_watson';\n    }\n\n    export function isDurbinWatsonResult(toTest: ComputationResult): toTest is DurbinWatsonResult { return DurbinWatsonResult.type === toTest.type; }\n}","import {BinningMode} from './../../models/binning-mode';\nimport {BoxPlotFragment} from './../fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {NumericalHistogramFragment} from './../fragments/numerical-histogram-fragment';\nimport {_UnivariateCard} from './../univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.NumericalHistogramCard\n */\nexport interface NumericalHistogramCard extends _UnivariateCard {\n    binningMode: BinningMode;\n    customBinningBoundaries: number[];\n    highlightFilter?: Filter | null;\n    nbBins: number;\n    showBoxPlot: boolean;\n    showHistogram: boolean;\n\n    // PolyJson type\n    type: 'numerical_histogram';\n}\n\nexport namespace NumericalHistogramCard {\n    export const type = 'numerical_histogram';\n}\n\nexport function isNumericalHistogramCard(toTest: Card): toTest is NumericalHistogramCard { return NumericalHistogramCard.type === toTest.type; }\n\nexport namespace NumericalHistogramCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.NumericalHistogramCard$NumericalHistogramCardResult\n     */\n    export interface NumericalHistogramCardResult extends _CardResult {\n        boxPlot?: BoxPlotFragment | null;\n        histogram?: NumericalHistogramFragment | null;\n\n        // PolyJson type\n        type: 'numerical_histogram';\n    }\n\n    export namespace NumericalHistogramCardResult {\n        export const type = 'numerical_histogram';\n    }\n\n    export function isNumericalHistogramCardResult(toTest: CardResult): toTest is NumericalHistogramCardResult { return NumericalHistogramCardResult.type === toTest.type; }\n}","import {BoxPlotFragment} from './fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {NumericalHistogramFragment} from './fragments/numerical-histogram-fragment';\nimport {TestDistribution} from './../../compute/computations/univariate/test-distribution';\nimport {_UnivariateCard} from './univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.ShapiroNormalityTestCard\n */\nexport interface ShapiroNormalityTestCard extends _UnivariateCard {\n    confidenceLevel: number;\n\n    // PolyJson type\n    type: 'shapiro';\n}\n\nexport namespace ShapiroNormalityTestCard {\n    export const type = 'shapiro';\n}\n\nexport function isShapiroNormalityTestCard(toTest: Card): toTest is ShapiroNormalityTestCard { return ShapiroNormalityTestCard.type === toTest.type; }\n\nexport namespace ShapiroNormalityTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ShapiroNormalityTestCard$ShapiroNormalityTestCardResult\n     */\n    export interface ShapiroNormalityTestCardResult extends _CardResult {\n        boxPlot: BoxPlotFragment;\n        histogram: NumericalHistogramFragment;\n        normalPdf: TestDistribution.ProbabilityDensityFunction;\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'shapiro';\n    }\n\n    export namespace ShapiroNormalityTestCardResult {\n        export const type = 'shapiro';\n    }\n\n    export function isShapiroNormalityTestCardResult(toTest: CardResult): toTest is ShapiroNormalityTestCardResult { return ShapiroNormalityTestCardResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.TTest1Samp\n */\nexport interface TTest1Samp extends Computation._UnivariateComputation {\n    hypothesizedMean: number;\n\n    // PolyJson type\n    type: 'ttest_1samp';\n}\n\nexport namespace TTest1Samp {\n    export const type = 'ttest_1samp';\n}\n\nexport function isTTest1Samp(toTest: Computation): toTest is TTest1Samp { return TTest1Samp.type === toTest.type; }\n\nexport namespace TTest1Samp {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TTest1Samp$TTest1SampResult\n     */\n    export interface TTest1SampResult extends _AvailableResult {\n        dof: number;\n        pvalue: number;\n        pvalueAltGt: number;\n        pvalueAltLt: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ttest_1samp';\n    }\n\n    export namespace TTest1SampResult {\n        export const type = 'ttest_1samp';\n    }\n\n    export function isTTest1SampResult(toTest: ComputationResult): toTest is TTest1SampResult { return TTest1SampResult.type === toTest.type; }\n}","import {DebugCard} from './debug-card';\nimport {ListMostFrequentValues} from './list-most-frequent-values';\nimport {SuggestCards} from './suggest-cards';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.queries.InteractiveQuery\n */\nexport interface _InteractiveQuery {}\n\nexport type InteractiveQuery = DebugCard | SuggestCards | ListMostFrequentValues;\n\nexport namespace InteractiveQuery {\n    export const type = [\"debug_card\" , \"suggest_cards\" , \"list_most_frequent_values\"] as const;\n}\n\nexport namespace InteractiveQuery {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.InteractiveQuery$InteractiveQueryResult\n     */\n    export interface _InteractiveQueryResult {}\n\n    export type InteractiveQueryResult = SuggestCards.SuggestCardsResult | ListMostFrequentValues.ListMostFrequentValuesResult | DebugCard.DebugCardResult;\n\n    export namespace InteractiveQueryResult {\n        export const type = [\"suggest_cards\" , \"list_most_frequent_values\" , \"debug_card\"] as const;\n    }\n\n    export function isInteractiveQueryResult(toTest: InteractiveQuery.InteractiveQueryResult): toTest is InteractiveQueryResult { return (InteractiveQueryResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.BinnedGrouping\n */\nexport interface BinnedGrouping extends _Grouping {\n    binSize?: number | null;\n    column: string;\n    keepNA: boolean;\n    mode: BinnedGrouping.BinningMode;\n    nbBins?: number | null;\n\n    // PolyJson type\n    type: 'binned';\n}\n\nexport namespace BinnedGrouping {\n    export const type = 'binned';\n}\n\nexport function isBinnedGrouping(toTest: Grouping): toTest is BinnedGrouping { return BinnedGrouping.type === toTest.type; }\n\nexport namespace BinnedGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.BinnedGrouping$BinningMode\n     */\n    export enum BinningMode {\n        AUTO = 'AUTO',\n        FIXED_NB = 'FIXED_NB',\n        FIXED_SIZE = 'FIXED_SIZE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.BinnedGrouping$BinnedGroupingResult\n     */\n    export interface BinnedGroupingResult extends _GroupingResult {\n        column: string;\n        edges: number[];\n        hasNa: boolean;\n\n        // PolyJson type\n        type: 'binned';\n    }\n\n    export namespace BinnedGroupingResult {\n        export const type = 'binned';\n    }\n\n    export function isBinnedGroupingResult(toTest: GroupingResult): toTest is BinnedGroupingResult { return BinnedGroupingResult.type === toTest.type; }\n}","import {ACF} from './timeseries/acf';\nimport {Chi2IndTest} from './bivariate/chi2-ind-test';\nimport {CountGroups} from './common/count-groups';\nimport {Count} from './common/count';\nimport {Covariance} from './bivariate/covariance';\nimport {DummyComputation} from './common/dummy-computation';\nimport {DurbinWatson} from './timeseries/durbin-watson';\nimport {EmpiricalCDF} from './univariate/empirical-cdf';\nimport {Entropy} from './univariate/entropy';\nimport {FetchValues} from './multivariate/fetch-values';\nimport {Fit2DDistribution} from './bivariate/fit2-ddistribution';\nimport {FitCurve} from './bivariate/fit-curve';\nimport {FitDistribution} from './univariate/fit-distribution';\nimport {GroupedComputation} from './common/grouped-computation';\nimport {KendallTau} from './bivariate/kendall-tau';\nimport {KsTest2Samp} from './univariate/ks-test2-samp';\nimport {Kurtosis} from './univariate/kurtosis';\nimport {MannKendallTest} from './timeseries/mann-kendall-test';\nimport {MaxTime} from './univariate/max-time';\nimport {Max} from './univariate/max';\nimport {Mean} from './univariate/mean';\nimport {MinTime} from './univariate/min-time';\nimport {Min} from './univariate/min';\nimport {MoodTestNSamp} from './univariate/mood-test-nsamp';\nimport {MultiComputation} from './common/multi-computation';\nimport {MutualInformation} from './bivariate/mutual-information';\nimport {OneWayAnova} from './univariate/one-way-anova';\nimport {PACF} from './timeseries/pacf';\nimport {PCA} from './multivariate/pca';\nimport {PairwiseMoodTest} from './univariate/pairwise-mood-test';\nimport {PairwiseTTest} from './univariate/pairwise-ttest';\nimport {Pearson} from './bivariate/pearson';\nimport {Quantiles} from './univariate/quantiles';\nimport {Sem} from './univariate/sem';\nimport {Shapiro} from './univariate/shapiro';\nimport {SignTest1Samp} from './univariate/sign-test1-samp';\nimport {Skewness} from './univariate/skewness';\nimport {Spearman} from './bivariate/spearman';\nimport {StdDev} from './univariate/std-dev';\nimport {Sum} from './univariate/sum';\nimport {TTest1Samp} from './univariate/ttest1-samp';\nimport {TestDistribution} from './univariate/test-distribution';\nimport {TimeStep} from './univariate/time-step';\nimport {UnitRootTestADF} from './timeseries/unit-root-test-adf';\nimport {UnitRootTestKPSS} from './timeseries/unit-root-test-kpss';\nimport {UnitRootTestZA} from './timeseries/unit-root-test-za';\nimport {Variance} from './univariate/variance';\nimport {ZTest1Samp} from './univariate/ztest1-samp';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.Computation\n */\nexport interface _Computation {}\n\nexport type Computation = CountGroups | Quantiles | EmpiricalCDF | Chi2IndTest | Kurtosis | Spearman | PACF | Covariance | FetchValues | Min | MinTime | PairwiseMoodTest | TimeStep | KsTest2Samp | UnitRootTestKPSS | PCA | Fit2DDistribution | MaxTime | TTest1Samp | Pearson | Sem | UnitRootTestZA | ACF | DummyComputation | MoodTestNSamp | MannKendallTest | FitDistribution | Mean | Sum | Skewness | TestDistribution | DurbinWatson | KendallTau | GroupedComputation | Shapiro | Count | StdDev | MultiComputation | UnitRootTestADF | PairwiseTTest | Max | SignTest1Samp | Entropy | FitCurve | Variance | ZTest1Samp | MutualInformation | OneWayAnova;\n\nexport namespace Computation {\n    export const type = [\"count_groups\" , \"quantiles\" , \"empirical_cdf\" , \"chi2_ind_test\" , \"kurtosis\" , \"spearman\" , \"pacf\" , \"covariance\" , \"fetch_values\" , \"min\" , \"min_time\" , \"pairwise_mood_test\" , \"time_step\" , \"ks_test_2samp\" , \"unit_root_kpss\" , \"pca\" , \"fit_2d_distribution\" , \"max_time\" , \"ttest_1samp\" , \"pearson\" , \"sem\" , \"unit_root_za\" , \"acf\" , \"dummy\" , \"mood_test_nsamp\" , \"mann_kendall\" , \"fit_distribution\" , \"mean\" , \"sum\" , \"skewness\" , \"test_distribution\" , \"durbin_watson\" , \"kendall_tau\" , \"grouped\" , \"shapiro\" , \"count\" , \"std_dev\" , \"multi\" , \"unit_root_adf\" , \"pairwise_ttest\" , \"max\" , \"sign_test_1samp\" , \"entropy\" , \"fit_curve\" , \"variance\" , \"ztest_1samp\" , \"mutual_information\" , \"one_way_anova\"] as const;\n}\n\nexport namespace Computation {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.Computation$UnivariateComputation\n     */\n    export interface _UnivariateComputation extends _Computation {\n        column: string;\n    }\n\n    export type UnivariateComputation = Quantiles | EmpiricalCDF | Kurtosis | Min | MinTime | PairwiseMoodTest | TimeStep | KsTest2Samp | MaxTime | TTest1Samp | Sem | MoodTestNSamp | FitDistribution | Mean | Skewness | TestDistribution | Sum | Shapiro | StdDev | PairwiseTTest | Max | SignTest1Samp | Entropy | Variance | ZTest1Samp | OneWayAnova;\n\n    export namespace UnivariateComputation {\n        export const type = [\"quantiles\" , \"empirical_cdf\" , \"kurtosis\" , \"min\" , \"min_time\" , \"pairwise_mood_test\" , \"time_step\" , \"ks_test_2samp\" , \"max_time\" , \"ttest_1samp\" , \"sem\" , \"mood_test_nsamp\" , \"fit_distribution\" , \"mean\" , \"skewness\" , \"test_distribution\" , \"sum\" , \"shapiro\" , \"std_dev\" , \"pairwise_ttest\" , \"max\" , \"sign_test_1samp\" , \"entropy\" , \"variance\" , \"ztest_1samp\" , \"one_way_anova\"] as const;\n    }\n\n    export function isUnivariateComputation(toTest: Computation): toTest is UnivariateComputation { return (UnivariateComputation.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.Computation$BivariateComputation\n     */\n    export interface _BivariateComputation extends _Computation {\n        xColumn: string;\n        yColumn: string;\n    }\n\n    export type BivariateComputation = Pearson | KendallTau | Fit2DDistribution | Spearman | Covariance | FitCurve | MutualInformation;\n\n    export namespace BivariateComputation {\n        export const type = [\"pearson\" , \"kendall_tau\" , \"fit_2d_distribution\" , \"spearman\" , \"covariance\" , \"fit_curve\" , \"mutual_information\"] as const;\n    }\n\n    export function isBivariateComputation(toTest: Computation): toTest is BivariateComputation { return (BivariateComputation.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.Computation$MultivariateComputation\n     */\n    export interface _MultivariateComputation extends _Computation {\n        columns: string[];\n    }\n\n    export type MultivariateComputation = PCA | FetchValues;\n\n    export namespace MultivariateComputation {\n        export const type = [\"pca\" , \"fetch_values\"] as const;\n    }\n\n    export function isMultivariateComputation(toTest: Computation): toTest is MultivariateComputation { return (MultivariateComputation.type as readonly unknown[]).includes(toTest.type); }\n}","import {AbstractNSampTestCard} from './common/abstract-nsamp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\nimport {_AbstractPairwiseTestCard} from './common/abstract-pairwise-test-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.PairwiseMoodTestCard\n */\nexport interface PairwiseMoodTestCard extends _AbstractPairwiseTestCard {\n    // PolyJson type\n    type: 'pairwise_mood';\n}\n\nexport namespace PairwiseMoodTestCard {\n    export const type = 'pairwise_mood';\n}\n\nexport function isPairwiseMoodTestCard(toTest: Card): toTest is PairwiseMoodTestCard { return PairwiseMoodTestCard.type === toTest.type; }\n\nexport namespace PairwiseMoodTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.PairwiseMoodTestCard$PairwiseMoodTestCardResult\n     */\n    export interface PairwiseMoodTestCardResult extends AbstractNSampTestCard._AbstractNSampleTestCardResult {\n        pvalues: number[];\n        statistics: number[];\n\n        // PolyJson type\n        type: 'pairwise_mood';\n    }\n\n    export namespace PairwiseMoodTestCardResult {\n        export const type = 'pairwise_mood';\n    }\n\n    export function isPairwiseMoodTestCardResult(toTest: CardResult): toTest is PairwiseMoodTestCardResult { return PairwiseMoodTestCardResult.type === toTest.type; }\n}","import {AbstractNSampTestCard} from './common/abstract-nsamp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\nimport {_AbstractPairwiseTestCard} from './common/abstract-pairwise-test-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.PairwiseTTestCard\n */\nexport interface PairwiseTTestCard extends _AbstractPairwiseTestCard {\n    // PolyJson type\n    type: 'pairwise_ttest';\n}\n\nexport namespace PairwiseTTestCard {\n    export const type = 'pairwise_ttest';\n}\n\nexport function isPairwiseTTestCard(toTest: Card): toTest is PairwiseTTestCard { return PairwiseTTestCard.type === toTest.type; }\n\nexport namespace PairwiseTTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.PairwiseTTestCard$PairwiseTTestCardResult\n     */\n    export interface PairwiseTTestCardResult extends AbstractNSampTestCard._AbstractNSampleTestCardResult {\n        pvalues: number[];\n        statistics: number[];\n\n        // PolyJson type\n        type: 'pairwise_ttest';\n    }\n\n    export namespace PairwiseTTestCardResult {\n        export const type = 'pairwise_ttest';\n    }\n\n    export function isPairwiseTTestCardResult(toTest: CardResult): toTest is PairwiseTTestCardResult { return PairwiseTTestCardResult.type === toTest.type; }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.MergeGrouping\n */\nexport interface MergeGrouping extends _Grouping {\n    innerGrouping: Grouping;\n\n    // PolyJson type\n    type: 'merge';\n}\n\nexport namespace MergeGrouping {\n    export const type = 'merge';\n}\n\nexport function isMergeGrouping(toTest: Grouping): toTest is MergeGrouping { return MergeGrouping.type === toTest.type; }\n\nexport namespace MergeGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.MergeGrouping$MergeGroupingResult\n     */\n    export interface MergeGroupingResult extends _GroupingResult {\n        innerGroupingResult: GroupingResult;\n\n        // PolyJson type\n        type: 'merge';\n    }\n\n    export namespace MergeGroupingResult {\n        export const type = 'merge';\n    }\n\n    export function isMergeGroupingResult(toTest: GroupingResult): toTest is MergeGroupingResult { return MergeGroupingResult.type === toTest.type; }\n}","import {IsotonicCurve} from './isotonic-curve';\nimport {PolynomialCurve} from './polynomial-curve';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.curves.Curve\n */\nexport interface _Curve {}\n\nexport type Curve = IsotonicCurve | PolynomialCurve;\n\nexport namespace Curve {\n    export const type = [\"isotonic\" , \"polynomial\"] as const;\n}\n\nexport namespace Curve {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.curves.Curve$ParametrizedCurve\n     */\n    export interface _ParametrizedCurve {}\n\n    export type ParametrizedCurve = IsotonicCurve.ParametrizedIsotonicCurve | PolynomialCurve.ParametrizedPolynomialCurve;\n\n    export namespace ParametrizedCurve {\n        export const type = [\"isotonic\" , \"polynomial\"] as const;\n    }\n\n    export function isParametrizedCurve(toTest: Curve.ParametrizedCurve): toTest is ParametrizedCurve { return (ParametrizedCurve.type as readonly unknown[]).includes(toTest.type); }\n}","import {_FeaturePreprocessingParams} from './feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.ImageFeaturePreprocessingParams\n */\nexport interface ImageFeaturePreprocessingParams extends _FeaturePreprocessingParams {\n    image_handling: ImageFeaturePreprocessingParams.ImageHandlingMethod;\n    managed_folder_id: string;\n    missing_handling: ImageFeaturePreprocessingParams.MissingHandlingMethod;\n}\n\nexport namespace ImageFeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ImageFeaturePreprocessingParams$MissingHandlingMethod\n     */\n    export enum MissingHandlingMethod {\n        NONE = 'NONE',\n        DROP_ROW = 'DROP_ROW'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.ImageFeaturePreprocessingParams$ImageHandlingMethod\n     */\n    export enum ImageHandlingMethod {\n        CUSTOM = 'CUSTOM'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Grouping} from './../../grouping/grouping';\nimport {PValueAdjustmentMethod} from './../../stats/pvalue-adjustment-method';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.PairwiseTTest\n */\nexport interface PairwiseTTest extends Computation._UnivariateComputation {\n    adjustmentMethod: PValueAdjustmentMethod;\n    grouping: Grouping;\n\n    // PolyJson type\n    type: 'pairwise_ttest';\n}\n\nexport namespace PairwiseTTest {\n    export const type = 'pairwise_ttest';\n}\n\nexport function isPairwiseTTest(toTest: Computation): toTest is PairwiseTTest { return PairwiseTTest.type === toTest.type; }\n\nexport namespace PairwiseTTest {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.PairwiseTTest$PairwiseTTestResult\n     */\n    export interface PairwiseTTestResult extends _AvailableResult {\n        pvalues: number[];\n        statistics: number[];\n\n        // PolyJson type\n        type: 'pairwise_ttest';\n    }\n\n    export namespace PairwiseTTestResult {\n        export const type = 'pairwise_ttest';\n    }\n\n    export function isPairwiseTTestResult(toTest: ComputationResult): toTest is PairwiseTTestResult { return PairwiseTTestResult.type === toTest.type; }\n}","import {CatFeaturePreprocessingParams} from './cat-feature-preprocessing-params';\nimport {ImageFeaturePreprocessingParams} from './image-feature-preprocessing-params';\nimport {NumFeaturePreprocessingParams} from './num-feature-preprocessing-params';\nimport {TextFeaturePreprocessingParams} from './text-feature-preprocessing-params';\nimport {VectorFeaturePreprocessingParams} from './vector-feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.FeaturePreprocessingParams\n */\nexport interface _FeaturePreprocessingParams {\n    autoReason: FeaturePreprocessingParams.FeatureHandlingReason;\n    customHandlingCode: string;\n    customProcessorWantsMatrix: boolean;\n    name: string;\n    role: FeaturePreprocessingParams.Role;\n    sendToInput: string;\n    state: FeaturePreprocessingParams.FeatureState;\n    type: FeaturePreprocessingParams.FeatureType;\n}\n\nexport type FeaturePreprocessingParams = TextFeaturePreprocessingParams | NumFeaturePreprocessingParams | VectorFeaturePreprocessingParams | CatFeaturePreprocessingParams | ImageFeaturePreprocessingParams;\n\nexport namespace FeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeaturePreprocessingParams$FeatureType\n     */\n    export enum FeatureType {\n        NUMERIC = 'NUMERIC',\n        CATEGORY = 'CATEGORY',\n        VECTOR = 'VECTOR',\n        TEXT = 'TEXT',\n        IMAGE = 'IMAGE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeaturePreprocessingParams$FeatureHandlingReason\n     */\n    export enum FeatureHandlingReason {\n        REJECT_ZERO_VARIANCE = 'REJECT_ZERO_VARIANCE',\n        REJECT_MISSING = 'REJECT_MISSING',\n        REJECT_IDENTIFIER = 'REJECT_IDENTIFIER',\n        REJECT_DEFAULT_TEXT_HANDLING = 'REJECT_DEFAULT_TEXT_HANDLING',\n        REJECT_CARDINALITY = 'REJECT_CARDINALITY'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeaturePreprocessingParams$Role\n     */\n    export enum Role {\n        INPUT = 'INPUT',\n        REJECT = 'REJECT',\n        WEIGHT = 'WEIGHT',\n        PROFILING = 'PROFILING',\n        TARGET = 'TARGET'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.FeaturePreprocessingParams$FeatureState\n     */\n    export interface FeatureState {\n        autoModifiedByDSS: boolean;\n        dssWantsToSet: FeaturePreprocessingParams;\n        previousSettings: FeaturePreprocessingParams;\n        recordedMeaning: string;\n        userModified: boolean;\n    }\n}","/**\n * Generated from com.dataiku.dip.analysis.model.prediction.MetricParams\n */\nexport interface MetricParams {\n    costMatrixWeights: MetricParams.CostMatrixWeights;\n    customEvaluationMetricCode: string;\n    customEvaluationMetricGIB: boolean;\n    customEvaluationMetricNeedsProba: boolean;\n    evaluationMetric: MetricParams.EvaluationMetric;\n    liftPoint: number;\n    thresholdOptimizationMetric: MetricParams.ThresholdOptimizationMetric;\n}\n\nexport namespace MetricParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.MetricParams$CostMatrixWeights\n     */\n    export interface CostMatrixWeights {\n        fnGain: number;\n        fpGain: number;\n        tnGain: number;\n        tpGain: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.MetricParams$ThresholdOptimizationMetric\n     */\n    export enum ThresholdOptimizationMetric {\n        ACCURACY = 'ACCURACY',\n        F1 = 'F1',\n        COST_MATRIX = 'COST_MATRIX'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.MetricParams$EvaluationMetric\n     */\n    export enum EvaluationMetric {\n        ACCURACY = 'ACCURACY',\n        RECALL = 'RECALL',\n        PRECISION = 'PRECISION',\n        F1 = 'F1',\n        COST_MATRIX = 'COST_MATRIX',\n        CUMULATIVE_LIFT = 'CUMULATIVE_LIFT',\n        LOG_LOSS = 'LOG_LOSS',\n        ROC_AUC = 'ROC_AUC',\n        EVS = 'EVS',\n        MAPE = 'MAPE',\n        MAE = 'MAE',\n        MSE = 'MSE',\n        RMSE = 'RMSE',\n        RMSLE = 'RMSLE',\n        R2 = 'R2',\n        CUSTOM = 'CUSTOM'\n    }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Poisson\n */\nexport interface Poisson extends _Distribution {\n    // PolyJson type\n    type: 'poisson';\n}\n\nexport namespace Poisson {\n    export const type = 'poisson';\n}\n\nexport function isPoisson(toTest: Distribution): toTest is Poisson { return Poisson.type === toTest.type; }\n\nexport namespace Poisson {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Poisson$FittedPoisson\n     */\n    export interface FittedPoisson extends Distribution._FittedDistribution {\n        lambda: number;\n\n        // PolyJson type\n        type: 'poisson';\n    }\n\n    export namespace FittedPoisson {\n        export const type = 'poisson';\n    }\n\n    export function isFittedPoisson(toTest: Distribution.FittedDistribution): toTest is FittedPoisson { return FittedPoisson.type === toTest.type; }\n}","import {Computation, _Computation} from './../computation';\nimport {ComputationResult} from './../computation-result';\nimport {Grouping} from './../../grouping/grouping';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Chi2IndTest\n */\nexport interface Chi2IndTest extends _Computation {\n    xGrouping: Grouping;\n    yGrouping: Grouping;\n\n    // PolyJson type\n    type: 'chi2_ind_test';\n}\n\nexport namespace Chi2IndTest {\n    export const type = 'chi2_ind_test';\n}\n\nexport function isChi2IndTest(toTest: Computation): toTest is Chi2IndTest { return Chi2IndTest.type === toTest.type; }\n\nexport namespace Chi2IndTest {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Chi2IndTest$Chi2IndTestResult\n     */\n    export interface Chi2IndTestResult extends _AvailableResult {\n        dof: number;\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'chi2_ind_test';\n    }\n\n    export namespace Chi2IndTestResult {\n        export const type = 'chi2_ind_test';\n    }\n\n    export function isChi2IndTestResult(toTest: ComputationResult): toTest is Chi2IndTestResult { return Chi2IndTestResult.type === toTest.type; }\n}","import {_FeaturePreprocessingParams} from './feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.VectorFeaturePreprocessingParams\n */\nexport interface VectorFeaturePreprocessingParams extends _FeaturePreprocessingParams {\n    impute_constant_value: string;\n    missing_handling: VectorFeaturePreprocessingParams.MissingHandlingMethod;\n    missing_impute_with: VectorFeaturePreprocessingParams.VectorImputationMethod;\n    vector_handling: VectorFeaturePreprocessingParams.VectorHandlingMethod;\n}\n\nexport namespace VectorFeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.VectorFeaturePreprocessingParams$VectorHandlingMethod\n     */\n    export enum VectorHandlingMethod {\n        UNFOLD = 'UNFOLD'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.VectorFeaturePreprocessingParams$MissingHandlingMethod\n     */\n    export enum MissingHandlingMethod {\n        NONE = 'NONE',\n        DROP_ROW = 'DROP_ROW',\n        IMPUTE = 'IMPUTE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.VectorFeaturePreprocessingParams$VectorImputationMethod\n     */\n    export enum VectorImputationMethod {\n        MODE = 'MODE',\n        CONSTANT = 'CONSTANT'\n    }\n}","import * as dep_dku_frontend_core from 'dku-frontend-core/generated-sources';\nimport {PredictionModelingParams} from './prediction/prediction-modeling-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo\n */\nexport interface ModelTrainInfo {\n    endTime: number;\n    failure: any /* TODO: Missing translation of com.dataiku.common.server.APIError */;\n    fullRows: number;\n    hyperparamsSearchTime: number;\n    kfold: boolean;\n    modelId: string;\n    postSearchDescription: ModelTrainInfo.PostSearchDescription;\n    preSearchDescription: ModelTrainInfo.PreSearchDescription;\n    preprocessingTime: number;\n    progress: ModelTrainInfo.TrainProgress;\n    resumed: boolean;\n    sampleWeightsEnabled: boolean;\n    sampleWeightsVariable: string;\n    startTime: number;\n    state: ModelTrainInfo.ModelTrainState;\n    testRows: number;\n    timeOrderingEnabled: boolean;\n    timeVariable: string;\n    trainRows: number;\n    trainingTime: number;\n}\n\nexport namespace ModelTrainInfo {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$PostSearchDescription\n     */\n    export interface PostSearchDescription {\n        importantParams: ModelTrainInfo.SearchParam[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$PreSearchDescription\n     */\n    export interface PreSearchDescription {\n        gridLength: number;\n        importantParams: ModelTrainInfo.SearchParam[];\n        searchStrategy: PredictionModelingParams.GridSearchParams.Strategy;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$ModelTrainState\n     */\n    export enum ModelTrainState {\n        PENDING = 'PENDING',\n        RUNNING = 'RUNNING',\n        DONE = 'DONE',\n        FAILED = 'FAILED',\n        ABORTED = 'ABORTED'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$SearchParam\n     */\n    export interface SearchParam {\n        cnt: number;\n        max: string;\n        min: string;\n        name: string;\n        val: string;\n        vals: string[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$TrainProgress\n     */\n    export interface TrainProgress {\n        stack: dep_dku_frontend_core.FutureProgressState[];\n        top_level_done: ModelTrainInfo.TrainProgress.TopLevelDone[];\n        top_level_todo: string[];\n    }\n}\n\nexport namespace ModelTrainInfo.TrainProgress {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.ModelTrainInfo$TrainProgress$TopLevelDone\n     */\n    export interface TopLevelDone {\n        name: string;\n        time: number;\n    }\n}","import {DatasetOrdering} from './../../../../../../../dss-core/src/main/java/com/dataiku/dip/input/dataset-ordering';\nimport {ObjectCustomMetadata} from './object-custom-metadata';\nimport {PartitioningScheme} from './../../../../../../../dss-core/src/main/java/com/dataiku/dip/partitioning/partitioning-scheme';\nimport {Schema} from './../../../../../../../dss-core/src/main/java/com/dataiku/dip/coremodel/schema';\nimport {TaggableObjectsService} from './../server/services/taggable-objects-service';\n\n/**\n * Generated from com.dataiku.dip.coremodel.SerializedDataset\n */\nexport interface SerializedDataset extends TaggableObjectsService._TaggableObject {\n    autodetectedFormatId: string;\n    checks: SerializedDataset.SerializedCheck[];\n    customMeta: ObjectCustomMetadata;\n    deserializationContext: any /* TODO: Missing translation of com.google.gson.JsonDeserializationContext */;\n    dkuProperties: any /* TODO: Missing translation of com.dataiku.dip.connections.AbstractSQLConnection$CustomDatabaseProperty */[];\n    flowOptions: SerializedDataset.FlowOptions;\n    formatParams: any /* TODO: Missing translation of com.dataiku.dip.coremodel.FormatParams */;\n    formatType: string;\n    managed: boolean;\n    metrics: any /* TODO: Missing translation of com.dataiku.dip.metrics.ProbesSet */;\n    metricsChecks: any /* TODO: Missing translation of com.dataiku.dip.metrics.ChecksSet */;\n    metricsChecksRaw: any /* TODO: Missing translation of com.google.gson.JsonElement */;\n    metricsRaw: any /* TODO: Missing translation of com.google.gson.JsonElement */;\n    name: string;\n    overrideTable: any /* TODO: Missing translation of com.dataiku.dip.variables.OverrideTable */;\n    params: any /* TODO: Missing translation of com.dataiku.dip.datasets.DatasetHandler$DatasetParams */;\n    partitioning: PartitioningScheme;\n    projectKey: string;\n    readWriteOptions: SerializedDataset.ReadWriteOptions;\n    remoteFiles: SerializedDataset.RemoteFiles;\n    schema: Schema;\n    smartName: string;\n    type: string;\n}\n\nexport namespace SerializedDataset {\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$RemoteFilesSource\n     */\n    export interface RemoteFilesSource {\n        connection: string;\n        path: string;\n        protocol: string;\n        url: string;\n        useConnection: boolean;\n        useGlobalProxy: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$SerializedCheck\n     */\n    export interface SerializedCheck {\n        params: {[key: string]: string};\n        type: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$CrossProjectBuildBehaviour\n     */\n    export enum CrossProjectBuildBehaviour {\n        DEFAULT = 'DEFAULT',\n        STOP = 'STOP',\n        TRAVERSE = 'TRAVERSE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$RebuildBehavior\n     */\n    export enum RebuildBehavior {\n        NORMAL = 'NORMAL',\n        EXPLICIT = 'EXPLICIT',\n        WRITE_PROTECT = 'WRITE_PROTECT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$ReadWriteOptions\n     */\n    export interface ReadWriteOptions {\n        defaultReadOrdering: DatasetOrdering;\n        forceSingleOutputFile: boolean;\n        preserveOrder: boolean;\n        singleOutputFileBaseName: string;\n        writeBuckets: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$RemoteFiles\n     */\n    export interface RemoteFiles {\n        alwaysCheckSync: boolean;\n        sources: SerializedDataset.RemoteFilesSource[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.SerializedDataset$FlowOptions\n     */\n    export interface FlowOptions {\n        crossProjectBuildBehavior: SerializedDataset.CrossProjectBuildBehaviour;\n        dateBlacklist: string;\n        flowEpoch: string;\n        rebuildBehavior: SerializedDataset.RebuildBehavior;\n        virtualizable: boolean;\n    }\n}","import {FloatHyperparameterDimension} from './float-hyperparameter-dimension';\nimport {IntegerHyperparameterDimension} from './integer-hyperparameter-dimension';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension\n */\nexport interface _NumericalHyperparameterDimension {\n    gridMode: NumericalHyperparameterDimension.ValueMode;\n    limit: NumericalHyperparameterDimension.Limit;\n    randomMode: NumericalHyperparameterDimension.ValueMode;\n    range: NumericalHyperparameterDimension.Range;\n    values: any /* TODO: Missing translation of T */[];\n}\n\nexport type NumericalHyperparameterDimension = IntegerHyperparameterDimension | FloatHyperparameterDimension;\n\nexport namespace NumericalHyperparameterDimension {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension$Range\n     */\n    export interface Range {\n        max: any /* TODO: Missing translation of T */;\n        min: any /* TODO: Missing translation of T */;\n        nbValues: number;\n        scaling: NumericalHyperparameterDimension.Scaling;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension$ValueMode\n     */\n    export enum ValueMode {\n        EXPLICIT = 'EXPLICIT',\n        RANGE = 'RANGE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension$Limit\n     */\n    export interface Limit {\n        max: any /* TODO: Missing translation of T */;\n        min: any /* TODO: Missing translation of T */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension$Scaling\n     */\n    export enum Scaling {\n        LINEAR = 'LINEAR',\n        LOGARITHMIC = 'LOGARITHMIC'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {UnitRootTest, _UnitRootTest} from './unit-root-test';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestADF\n */\nexport interface UnitRootTestADF extends _UnitRootTest {\n    nLags?: number | null;\n    regressionMode: UnitRootTestADF.RegressionMode;\n\n    // PolyJson type\n    type: 'unit_root_adf';\n}\n\nexport namespace UnitRootTestADF {\n    export const type = 'unit_root_adf';\n}\n\nexport function isUnitRootTestADF(toTest: Computation): toTest is UnitRootTestADF { return UnitRootTestADF.type === toTest.type; }\n\nexport namespace UnitRootTestADF {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestADF$UnitRootTestADFResult\n     */\n    export interface UnitRootTestADFResult extends UnitRootTest._UnitRootTestResult {\n        // PolyJson type\n        type: 'unit_root_adf';\n    }\n\n    export namespace UnitRootTestADFResult {\n        export const type = 'unit_root_adf';\n    }\n\n    export function isUnitRootTestADFResult(toTest: ComputationResult): toTest is UnitRootTestADFResult { return UnitRootTestADFResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestADF$RegressionMode\n     */\n    export enum RegressionMode {\n        CONSTANT_ONLY = 'CONSTANT_ONLY',\n        CONSTANT_WITH_LINEAR_TREND = 'CONSTANT_WITH_LINEAR_TREND',\n        CONSTANT_WITH_LINEAR_QUADRATIC_TREND = 'CONSTANT_WITH_LINEAR_QUADRATIC_TREND',\n        NO_CONSTANT_NO_TREND = 'NO_CONSTANT_NO_TREND'\n    }\n}","/**\n * Generated from com.dataiku.dip.containers.exec.ContainerExecSelection\n */\nexport interface ContainerExecSelection {\n    containerConf?: string | null;\n    containerMode: ContainerExecSelection.ContainerExecMode;\n}\n\nexport namespace ContainerExecSelection {\n    /**\n     * Generated from com.dataiku.dip.containers.exec.ContainerExecSelection$ContainerExecMode\n     */\n    export enum ContainerExecMode {\n        INHERIT = 'INHERIT',\n        EXPLICIT_CONTAINER = 'EXPLICIT_CONTAINER',\n        NONE = 'NONE'\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Max\n */\nexport interface Max extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'max';\n}\n\nexport namespace Max {\n    export const type = 'max';\n}\n\nexport function isMax(toTest: Computation): toTest is Max { return Max.type === toTest.type; }\n\nexport namespace Max {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Max$MaxResult\n     */\n    export interface MaxResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'max';\n    }\n\n    export namespace MaxResult {\n        export const type = 'max';\n    }\n\n    export function isMaxResult(toTest: ComputationResult): toTest is MaxResult { return MaxResult.type === toTest.type; }\n}","import {AbstractCardContainer, _AbstractCardContainer} from './common/abstract-card-container';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\nimport {Filter} from './../../compute/filtering/filter';\n\nexport namespace WorksheetRootCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.WorksheetRootCard$WorksheetRootCardResult\n     */\n    export interface WorksheetRootCardResult extends AbstractCardContainer._AbstractCardContainerResult {\n        // PolyJson type\n        type: 'worksheet_root';\n    }\n\n    export namespace WorksheetRootCardResult {\n        export const type = 'worksheet_root';\n    }\n\n    export function isWorksheetRootCardResult(toTest: CardResult): toTest is WorksheetRootCardResult { return WorksheetRootCardResult.type === toTest.type; }\n}\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.WorksheetRootCard\n */\nexport interface WorksheetRootCard extends _AbstractCardContainer {\n    confidenceLevel: number;\n    highlightFilter?: Filter | null;\n    showConfidenceInterval: boolean;\n\n    // PolyJson type\n    type: 'worksheet_root';\n}\n\nexport namespace WorksheetRootCard {\n    export const type = 'worksheet_root';\n}\n\nexport function isWorksheetRootCard(toTest: Card): toTest is WorksheetRootCard { return WorksheetRootCard.type === toTest.type; }","import {InteractiveQuery, _InteractiveQuery} from './interactive-query';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.queries.ListMostFrequentValues\n */\nexport interface ListMostFrequentValues extends _InteractiveQuery {\n    column: string;\n    maxValues: number;\n\n    // PolyJson type\n    type: 'list_most_frequent_values';\n}\n\nexport namespace ListMostFrequentValues {\n    export const type = 'list_most_frequent_values';\n}\n\nexport function isListMostFrequentValues(toTest: InteractiveQuery): toTest is ListMostFrequentValues { return ListMostFrequentValues.type === toTest.type; }\n\nexport namespace ListMostFrequentValues {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.ListMostFrequentValues$ListMostFrequentValuesResult\n     */\n    export interface ListMostFrequentValuesResult extends InteractiveQuery._InteractiveQueryResult {\n        values: string[];\n\n        // PolyJson type\n        type: 'list_most_frequent_values';\n    }\n\n    export namespace ListMostFrequentValuesResult {\n        export const type = 'list_most_frequent_values';\n    }\n\n    export function isListMostFrequentValuesResult(toTest: InteractiveQuery.InteractiveQueryResult): toTest is ListMostFrequentValuesResult { return ListMostFrequentValuesResult.type === toTest.type; }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {SummaryCardBuilder} from './../common/summary-card-builder';\nimport {_UnivariateCard} from './../univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateSummaryStatsCard\n */\nexport interface UnivariateSummaryStatsCard extends _UnivariateCard {\n    compute: UnivariateSummaryStatsCard.StatsToCompute;\n    confidenceLevel: number;\n    showConfidenceInterval: boolean;\n\n    // PolyJson type\n    type: 'univariate_summary';\n}\n\nexport namespace UnivariateSummaryStatsCard {\n    export const type = 'univariate_summary';\n}\n\nexport function isUnivariateSummaryStatsCard(toTest: Card): toTest is UnivariateSummaryStatsCard { return UnivariateSummaryStatsCard.type === toTest.type; }\n\nexport namespace UnivariateSummaryStatsCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateSummaryStatsCard$StatsToCompute\n     */\n    export interface StatsToCompute {\n        completeCount: boolean;\n        distinctCount: boolean;\n        iqr: boolean;\n        kurtosis: boolean;\n        max: boolean;\n        mean: boolean;\n        median: boolean;\n        min: boolean;\n        mode: boolean;\n        nbEmpty: boolean;\n        nbNonEmpty: boolean;\n        nonZeroRatio: boolean;\n        range: boolean;\n        sem: boolean;\n        skewness: boolean;\n        std: boolean;\n        sum: boolean;\n        totalCount: boolean;\n        variance: boolean;\n        zeroCount: boolean;\n        zeroRatio: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.univariate_header.UnivariateSummaryStatsCard$UnivariateSummaryStatsCardResult\n     */\n    export interface UnivariateSummaryStatsCardResult extends _CardResult {\n        stats: SummaryCardBuilder.ComputedStat[];\n\n        // PolyJson type\n        type: 'univariate_summary';\n    }\n\n    export namespace UnivariateSummaryStatsCardResult {\n        export const type = 'univariate_summary';\n    }\n\n    export function isUnivariateSummaryStatsCardResult(toTest: CardResult): toTest is UnivariateSummaryStatsCardResult { return UnivariateSummaryStatsCardResult.type === toTest.type; }\n}","export namespace EnrichedDashboardPage {\n    /**\n     * Generated from com.dataiku.dip.dashboards.model.ui.EnrichedDashboardPage$InsightAccessState\n     */\n    export enum InsightAccessState {\n        DELETED = 'DELETED',\n        NOT_EXPOSED = 'NOT_EXPOSED',\n        ANALYST = 'ANALYST',\n        READER = 'READER'\n    }\n}","import {CardResult} from './../cards/card-result';\nimport {Card} from './../cards/card';\nimport {ComputationResult} from './../../compute/computations/computation-result';\nimport {Computation} from './../../compute/computations/computation';\nimport {InteractiveQuery, _InteractiveQuery} from './interactive-query';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.queries.DebugCard\n */\nexport interface DebugCard extends _InteractiveQuery {\n    card: Card;\n\n    // PolyJson type\n    type: 'debug_card';\n}\n\nexport namespace DebugCard {\n    export const type = 'debug_card';\n}\n\nexport function isDebugCard(toTest: InteractiveQuery): toTest is DebugCard { return DebugCard.type === toTest.type; }\n\nexport namespace DebugCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.DebugCard$DebugCardResult\n     */\n    export interface DebugCardResult extends InteractiveQuery._InteractiveQueryResult {\n        card: Card;\n        cardResult: CardResult;\n        computation: Computation;\n        computationResult: ComputationResult;\n        estimatedCacheUsageFactorized: number;\n        estimatedCacheUsageFlattened: number;\n\n        // PolyJson type\n        type: 'debug_card';\n    }\n\n    export namespace DebugCardResult {\n        export const type = 'debug_card';\n    }\n\n    export function isDebugCardResult(toTest: InteractiveQuery.InteractiveQueryResult): toTest is DebugCardResult { return DebugCardResult.type === toTest.type; }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Laplace\n */\nexport interface Laplace extends _Distribution {\n    // PolyJson type\n    type: 'laplace';\n}\n\nexport namespace Laplace {\n    export const type = 'laplace';\n}\n\nexport function isLaplace(toTest: Distribution): toTest is Laplace { return Laplace.type === toTest.type; }\n\nexport namespace Laplace {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Laplace$FittedLaplace\n     */\n    export interface FittedLaplace extends Distribution._FittedDistribution {\n        b: number;\n        mu: number;\n\n        // PolyJson type\n        type: 'laplace';\n    }\n\n    export namespace FittedLaplace {\n        export const type = 'laplace';\n    }\n\n    export function isFittedLaplace(toTest: Distribution.FittedDistribution): toTest is FittedLaplace { return FittedLaplace.type === toTest.type; }\n}","import {_FeaturePreprocessingParams} from './feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams\n */\nexport interface NumFeaturePreprocessingParams extends _FeaturePreprocessingParams {\n    binarize_constant_threshold: number;\n    binarize_threshold_mode: NumFeaturePreprocessingParams.BinarizeThresholdMode;\n    datetime_cyclical_periods: any /* TODO: Missing translation of com.dataiku.scoring.pipelines.DatetimeCyclicalEncoder$Period */[];\n    generate_derivative: boolean;\n    impute_constant_value: number;\n    keep_regular: boolean;\n    missing_handling: NumFeaturePreprocessingParams.MissingHandlingMethod;\n    missing_impute_with: NumFeaturePreprocessingParams.NumericalImputationMethod;\n    numerical_handling: NumFeaturePreprocessingParams.NumericalHandlingMethod;\n    quantile_bin_nb_bins: number;\n    rescaling: NumFeaturePreprocessingParams.RescalingMethod;\n}\n\nexport namespace NumFeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams$BinarizeThresholdMode\n     */\n    export enum BinarizeThresholdMode {\n        MEAN = 'MEAN',\n        MEDIAN = 'MEDIAN',\n        CONSTANT = 'CONSTANT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams$NumericalHandlingMethod\n     */\n    export enum NumericalHandlingMethod {\n        REGULAR = 'REGULAR',\n        FLAG_PRESENCE = 'FLAG_PRESENCE',\n        BINARIZE = 'BINARIZE',\n        QUANTILE_BIN = 'QUANTILE_BIN',\n        DATETIME_CYCLICAL = 'DATETIME_CYCLICAL',\n        CUSTOM = 'CUSTOM'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams$RescalingMethod\n     */\n    export enum RescalingMethod {\n        NONE = 'NONE',\n        AVGSTD = 'AVGSTD',\n        MINMAX = 'MINMAX'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams$NumericalImputationMethod\n     */\n    export enum NumericalImputationMethod {\n        MEAN = 'MEAN',\n        MEDIAN = 'MEDIAN',\n        CONSTANT = 'CONSTANT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.NumFeaturePreprocessingParams$MissingHandlingMethod\n     */\n    export enum MissingHandlingMethod {\n        IMPUTE = 'IMPUTE',\n        DROP_ROW = 'DROP_ROW'\n    }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.Binomial\n */\nexport interface Binomial extends _Distribution {\n    n: number;\n\n    // PolyJson type\n    type: 'binomial';\n}\n\nexport namespace Binomial {\n    export const type = 'binomial';\n}\n\nexport function isBinomial(toTest: Distribution): toTest is Binomial { return Binomial.type === toTest.type; }\n\nexport namespace Binomial {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.Binomial$FittedBinomial\n     */\n    export interface FittedBinomial extends Distribution._FittedDistribution {\n        n: number;\n        p: number;\n\n        // PolyJson type\n        type: 'binomial';\n    }\n\n    export namespace FittedBinomial {\n        export const type = 'binomial';\n    }\n\n    export function isFittedBinomial(toTest: Distribution.FittedDistribution): toTest is FittedBinomial { return FittedBinomial.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Min\n */\nexport interface Min extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'min';\n}\n\nexport namespace Min {\n    export const type = 'min';\n}\n\nexport function isMin(toTest: Computation): toTest is Min { return Min.type === toTest.type; }\n\nexport namespace Min {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Min$MinResult\n     */\n    export interface MinResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'min';\n    }\n\n    export namespace MinResult {\n        export const type = 'min';\n    }\n\n    export function isMinResult(toTest: ComputationResult): toTest is MinResult { return MinResult.type === toTest.type; }\n}","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.AllFilter\n */\nexport interface AllFilter extends _Filter {\n    // PolyJson type\n    type: 'all';\n}\n\nexport namespace AllFilter {\n    export const type = 'all';\n}\n\nexport function isAllFilter(toTest: Filter): toTest is AllFilter { return AllFilter.type === toTest.type; }","import {CardResult} from './card-result';\nimport {Card} from './card';\nimport {PACF} from './../../compute/computations/timeseries/pacf';\nimport {TimeSeriesCard, _TimeSeriesCard} from './time-series-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.ACFPlotCard\n */\nexport interface ACFPlotCard extends _TimeSeriesCard {\n    adjusted: boolean;\n    confidenceLevel: number;\n    isPartial: boolean;\n    nLags?: number | null;\n    pacfMethod: PACF.Method;\n    showSummary: boolean;\n\n    // PolyJson type\n    type: 'acf_plot';\n}\n\nexport namespace ACFPlotCard {\n    export const type = 'acf_plot';\n}\n\nexport function isACFPlotCard(toTest: Card): toTest is ACFPlotCard { return ACFPlotCard.type === toTest.type; }\n\nexport namespace ACFPlotCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.ACFPlotCard$ACFPlotCardResult\n     */\n    export interface ACFPlotCardResult extends TimeSeriesCard._TimeSeriesCardResult {\n        coefficients: number[];\n        confidenceIntervals: number[][];\n\n        // PolyJson type\n        type: 'acf_plot';\n    }\n\n    export namespace ACFPlotCardResult {\n        export const type = 'acf_plot';\n    }\n\n    export function isACFPlotCardResult(toTest: CardResult): toTest is ACFPlotCardResult { return ACFPlotCardResult.type === toTest.type; }\n}","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.SubsampledGrouping\n */\nexport interface SubsampledGrouping extends _Grouping {\n    maxRows: number;\n    seed: number;\n\n    // PolyJson type\n    type: 'subsampled';\n}\n\nexport namespace SubsampledGrouping {\n    export const type = 'subsampled';\n}\n\nexport function isSubsampledGrouping(toTest: Grouping): toTest is SubsampledGrouping { return SubsampledGrouping.type === toTest.type; }\n\nexport namespace SubsampledGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.SubsampledGrouping$SubsampledGroupingResult\n     */\n    export interface SubsampledGroupingResult extends _GroupingResult {\n        // PolyJson type\n        type: 'subsampled';\n    }\n\n    export namespace SubsampledGroupingResult {\n        export const type = 'subsampled';\n    }\n\n    export function isSubsampledGroupingResult(toTest: GroupingResult): toTest is SubsampledGroupingResult { return SubsampledGroupingResult.type === toTest.type; }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.MinTime\n */\nexport interface MinTime extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'min_time';\n}\n\nexport namespace MinTime {\n    export const type = 'min_time';\n}\n\nexport function isMinTime(toTest: Computation): toTest is MinTime { return MinTime.type === toTest.type; }\n\nexport namespace MinTime {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.MinTime$MinTimeResult\n     */\n    export interface MinTimeResult extends _AvailableResult {\n        timestamp: string;\n\n        // PolyJson type\n        type: 'min_time';\n    }\n\n    export namespace MinTimeResult {\n        export const type = 'min_time';\n    }\n\n    export function isMinTimeResult(toTest: ComputationResult): toTest is MinTimeResult { return MinTimeResult.type === toTest.type; }\n}","import {CompactedArray} from './../../utils/compacted-array';\nimport {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Distribution2D} from './../../distributions/distribution2-d';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Fit2DDistribution\n */\nexport interface Fit2DDistribution extends Computation._BivariateComputation {\n    distribution: Distribution2D;\n    xResolution: number;\n    yResolution: number;\n\n    // PolyJson type\n    type: 'fit_2d_distribution';\n}\n\nexport namespace Fit2DDistribution {\n    export const type = 'fit_2d_distribution';\n}\n\nexport function isFit2DDistribution(toTest: Computation): toTest is Fit2DDistribution { return Fit2DDistribution.type === toTest.type; }\n\nexport namespace Fit2DDistribution {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Fit2DDistribution$Fit2DDistributionResult\n     */\n    export interface Fit2DDistributionResult extends _AvailableResult {\n        density: Fit2DDistribution.Density;\n        model: Distribution2D.FittedDistribution2D;\n\n        // PolyJson type\n        type: 'fit_2d_distribution';\n    }\n\n    export namespace Fit2DDistributionResult {\n        export const type = 'fit_2d_distribution';\n    }\n\n    export function isFit2DDistributionResult(toTest: ComputationResult): toTest is Fit2DDistributionResult { return Fit2DDistributionResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.Fit2DDistribution$Density\n     */\n    export interface Density {\n        data: CompactedArray;\n        xMax: number;\n        xMin: number;\n        yMax: number;\n        yMin: number;\n    }\n}","import {ComputationResult, _ComputationResult} from './computation-result';\nimport {FailedResult} from './failed-result';\nimport {NotComputedResult} from './not-computed-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.UnavailableResult\n */\nexport interface _UnavailableResult extends _ComputationResult {}\n\nexport type UnavailableResult = FailedResult | NotComputedResult;\n\nexport namespace UnavailableResult {\n    export const type = [\"failed\" , \"not_computed\"] as const;\n}\n\nexport function isUnavailableResult(toTest: ComputationResult): toTest is UnavailableResult { return (UnavailableResult.type as readonly unknown[]).includes(toTest.type); }","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.NotFilter\n */\nexport interface NotFilter extends _Filter {\n    filter: Filter;\n\n    // PolyJson type\n    type: 'not';\n}\n\nexport namespace NotFilter {\n    export const type = 'not';\n}\n\nexport function isNotFilter(toTest: Filter): toTest is NotFilter { return NotFilter.type === toTest.type; }","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.multivariate.FetchValues\n */\nexport interface FetchValues extends Computation._MultivariateComputation {\n    // PolyJson type\n    type: 'fetch_values';\n}\n\nexport namespace FetchValues {\n    export const type = 'fetch_values';\n}\n\nexport function isFetchValues(toTest: Computation): toTest is FetchValues { return FetchValues.type === toTest.type; }\n\nexport namespace FetchValues {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.multivariate.FetchValues$FetchValuesResult\n     */\n    export interface FetchValuesResult extends _AvailableResult {\n        series: number[][];\n\n        // PolyJson type\n        type: 'fetch_values';\n    }\n\n    export namespace FetchValuesResult {\n        export const type = 'fetch_values';\n    }\n\n    export function isFetchValuesResult(toTest: ComputationResult): toTest is FetchValuesResult { return FetchValuesResult.type === toTest.type; }\n}","import * as dep_dku_frontend_core from 'dku-frontend-core/generated-sources';\nimport {ClusteringMLTask} from './clustering/clustering-mltask';\nimport {ContainerExecSelection} from './../../containers/exec/container-exec-selection';\nimport {MLSparkParams} from './../ml/mlspark-params';\nimport {PredictionMLTask} from './prediction/prediction-mltask';\nimport {SerializedShakerScript} from './../../shaker/model/serialized-shaker-script';\nimport {SparkConstants} from './../ml/spark-constants';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.MLTask\n */\nexport interface _MLTask {\n    backendType: MLTask.BackendType;\n    containerSelection: ContainerExecSelection;\n    diagnosticsSettings: MLTask.DiagnosticsSettings;\n    envSelection: any /* TODO: Missing translation of com.dataiku.dip.code.CodeEnvSelection */;\n    id: string;\n    initiator: string;\n    labels: dep_dku_frontend_core.SimpleKeyValue[];\n    maxConcurrentModelTraining: number;\n    name: string;\n    predictionDisplayCharts: MLTask.PredictedDataChart[];\n    predictionDisplayScript: SerializedShakerScript;\n    sparkCheckpoint: SparkConstants.Checkpoint;\n    sparkCheckpointDir: string;\n    sparkParams: MLSparkParams;\n    taskType: MLTask.MLTaskType;\n}\n\nexport type MLTask = PredictionMLTask.ClassicalPredictionMLTask | ClusteringMLTask | PredictionMLTask.DeepHubPredictionMLTask;\n\nexport namespace MLTask {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.MLTask$DiagnosticsSettings\n     */\n    export interface DiagnosticsSettings {\n        enabled: boolean;\n        settings: MLTask.DiagnosticSetting[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.MLTask$DiagnosticSetting\n     */\n    export interface DiagnosticSetting {\n        enabled: boolean;\n        type: any /* TODO: Missing translation of com.dataiku.dip.warnings.WarningsContext$WarningType */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.MLTask$PredictedDataChart\n     */\n    export interface PredictedDataChart {\n        def: any /* TODO: Missing translation of com.dataiku.dip.pivot.frontend.model.ChartDef */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.MLTask$MLTaskType\n     */\n    export enum MLTaskType {\n        PREDICTION = 'PREDICTION',\n        CLUSTERING = 'CLUSTERING'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.MLTask$BackendType\n     */\n    export enum BackendType {\n        PY_MEMORY = 'PY_MEMORY',\n        MLLIB = 'MLLIB',\n        VERTICA = 'VERTICA',\n        H2O = 'H2O',\n        KERAS = 'KERAS',\n        DEEP_HUB = 'DEEP_HUB'\n    }\n}","import {AppHomepageTile} from './app-homepage-tile';\n\n/**\n * Generated from com.dataiku.dip.coremodel.AppManifest\n */\nexport interface AppManifest {\n    description: string;\n    homepageSections: AppManifest.AppHomepageSection[];\n    id: string;\n    imgColor: string;\n    imgPattern: number;\n    instanceFeatures: AppManifest.AppInstancesFeatures;\n    instantiationPermission: AppManifest.AppInstantiationPermission;\n    label: string;\n    projectExportManifest: AppManifest.AppProjectExportManifest;\n    shortDesc: string;\n    showInitials: boolean;\n    tags: string[];\n    useAppHomepage: boolean;\n    useAsRecipeSettings: AppManifest.AppUseAsRecipeSettings;\n}\n\nexport namespace AppManifest {\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppInstancesFeatures\n     */\n    export interface AppInstancesFeatures {\n        showCodeNavLink: boolean;\n        showFlowNavLink: boolean;\n        showLabNavLink: boolean;\n        showSwitchToProjectViewButton: boolean;\n        showVersionControlFeatures: boolean;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppInstantiationPermission\n     */\n    export enum AppInstantiationPermission {\n        EVERYBODY = 'EVERYBODY',\n        USE_APP_MASTER_PERMISSIONS = 'USE_APP_MASTER_PERMISSIONS'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppHomepageSection\n     */\n    export interface AppHomepageSection {\n        sectionText: string;\n        sectionTitle: string;\n        tiles: AppHomepageTile[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppProjectExportManifest\n     */\n    export interface AppProjectExportManifest {\n        exportAllDatasets: boolean;\n        exportAllInputDatasets: boolean;\n        exportAllInputManagedFolders: boolean;\n        exportAnalysisModels: boolean;\n        exportGitRepository: boolean;\n        exportInsightsData: boolean;\n        exportManagedFS: boolean;\n        exportManagedFolders: boolean;\n        exportModelEvaluationStores: boolean;\n        exportSavedModels: boolean;\n        exportUploads: boolean;\n        includedDatasetsData: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.ProjectExportOptions$IncludedDatasetData */[];\n        includedManagedFolders: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.ProjectExportOptions$IncludedManagedFolder */[];\n        includedModelEvaluationStores: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.ProjectExportOptions$IncludedModelEvaluationStore */[];\n        includedSavedModels: any /* TODO: Missing translation of com.dataiku.dip.projects.importexport.model.ProjectExportOptions$IncludedSavedModel */[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppUseAsRecipeSettings\n     */\n    export interface AppUseAsRecipeSettings {\n        category: string;\n        icon: string;\n        inputRoles: AppManifest.AppUseAsRecipeSettings.RoleMapping[];\n        outputRoles: AppManifest.AppUseAsRecipeSettings.RoleMapping[];\n        runScenarioTile: AppHomepageTile.RunScenarioTile;\n        variablesEditionTile: AppHomepageTile.ProjectVariablesTile;\n    }\n}\n\nexport namespace AppManifest.AppUseAsRecipeSettings {\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppManifest$AppUseAsRecipeSettings$RoleMapping\n     */\n    export interface RoleMapping {\n        objectId: string;\n        roleLabel: string;\n        type: any /* TODO: Missing translation of com.dataiku.dip.dataflow.graph.FlowComputable$FCType */;\n    }\n}","import {CardResult, _CardResult} from './card-result';\nimport {Card} from './card';\nimport {Distribution} from './../../compute/distributions/distribution';\nimport {NumericalHistogramFragment} from './fragments/numerical-histogram-fragment';\nimport {TestDistribution} from './../../compute/computations/univariate/test-distribution';\nimport {_UnivariateCard} from './univariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.FitDistributionCard\n */\nexport interface FitDistributionCard extends _UnivariateCard {\n    confidenceLevel: number;\n    distributions: FitDistributionCard.RequestedDistribution[];\n\n    // PolyJson type\n    type: 'fit_distribution';\n}\n\nexport namespace FitDistributionCard {\n    export const type = 'fit_distribution';\n}\n\nexport function isFitDistributionCard(toTest: Card): toTest is FitDistributionCard { return FitDistributionCard.type === toTest.type; }\n\nexport namespace FitDistributionCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.FitDistributionCard$RequestedDistribution\n     */\n    export interface RequestedDistribution {\n        distribution: Distribution;\n        fixedParameters?: Distribution.FittedDistribution | null;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.FitDistributionCard$SingleFitResult\n     */\n    export interface SingleFitResult {\n        distribution: Distribution;\n        fit: Distribution.FittedDistribution;\n        plot: TestDistribution.PlotData;\n        test: TestDistribution.StatTests;\n        warnings: string[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.FitDistributionCard$FitDistributionCardResult\n     */\n    export interface FitDistributionCardResult extends _CardResult {\n        distributions: FitDistributionCard.SingleFitResult[];\n        histogram: NumericalHistogramFragment;\n\n        // PolyJson type\n        type: 'fit_distribution';\n    }\n\n    export namespace FitDistributionCardResult {\n        export const type = 'fit_distribution';\n    }\n\n    export function isFitDistributionCardResult(toTest: CardResult): toTest is FitDistributionCardResult { return FitDistributionCardResult.type === toTest.type; }\n}","import {Abstract2SampTestCard, _Abstract2SampTestCard} from './common/abstract2-samp-test-card';\nimport {CardResult} from './card-result';\nimport {Card} from './card';\nimport {EmpiricalCDF} from './../../compute/computations/univariate/empirical-cdf';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.KsTest2SampCard\n */\nexport interface KsTest2SampCard extends _Abstract2SampTestCard {\n    // PolyJson type\n    type: 'ks_test_2samp';\n}\n\nexport namespace KsTest2SampCard {\n    export const type = 'ks_test_2samp';\n}\n\nexport function isKsTest2SampCard(toTest: Card): toTest is KsTest2SampCard { return KsTest2SampCard.type === toTest.type; }\n\nexport namespace KsTest2SampCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.KsTest2SampCard$KsTest2SampCardResult\n     */\n    export interface KsTest2SampCardResult extends Abstract2SampTestCard._Abstract2SampTestCardResult {\n        cdf1: EmpiricalCDF.EmpiricalCDFResult;\n        cdf2: EmpiricalCDF.EmpiricalCDFResult;\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'ks_test_2samp';\n    }\n\n    export namespace KsTest2SampCardResult {\n        export const type = 'ks_test_2samp';\n    }\n\n    export function isKsTest2SampCardResult(toTest: CardResult): toTest is KsTest2SampCardResult { return KsTest2SampCardResult.type === toTest.type; }\n}","import {NumFeaturePreprocessingParams} from './num-feature-preprocessing-params';\nimport {_FeaturePreprocessingParams} from './feature-preprocessing-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams\n */\nexport interface CatFeaturePreprocessingParams extends _FeaturePreprocessingParams {\n    categorical_rescaling: NumFeaturePreprocessingParams.RescalingMethod;\n    category_handling: CatFeaturePreprocessingParams.CategoryHandlingMethod;\n    cumulative_proportion: number;\n    dummy_clip: CatFeaturePreprocessingParams.DummyClippingMethod;\n    dummy_drop: CatFeaturePreprocessingParams.DummyDroppingMethod;\n    frequency_default_mode: CatFeaturePreprocessingParams.FrequencyDefault;\n    frequency_default_value: number;\n    frequency_normalized: boolean;\n    hash_whole_categories: boolean;\n    impact_kfold: boolean;\n    impact_kfold_k: number;\n    impact_kfold_seed: number;\n    impact_m: number;\n    impact_method: CatFeaturePreprocessingParams.ImpactMethod;\n    impute_constant_value: string;\n    max_cat_safety: number;\n    max_nb_categories: number;\n    min_samples: number;\n    missing_handling: CatFeaturePreprocessingParams.MissingHandlingMethod;\n    missing_impute_with: CatFeaturePreprocessingParams.CatImputationMethod;\n    nb_bins_hashing: number;\n    ordinal_ascending: boolean;\n    ordinal_default_mode: CatFeaturePreprocessingParams.OrdinalDefault;\n    ordinal_default_value: number;\n    ordinal_order: CatFeaturePreprocessingParams.OrdinalOrder;\n}\n\nexport namespace CatFeaturePreprocessingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$ImpactMethod\n     */\n    export enum ImpactMethod {\n        M_ESTIMATOR = 'M_ESTIMATOR',\n        GLMM = 'GLMM'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$DummyDroppingMethod\n     */\n    export enum DummyDroppingMethod {\n        NONE = 'NONE',\n        DROP = 'DROP',\n        AUTO = 'AUTO'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$FrequencyDefault\n     */\n    export enum FrequencyDefault {\n        MIN = 'MIN',\n        MEDIAN = 'MEDIAN',\n        MAX = 'MAX',\n        EXPLICIT = 'EXPLICIT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$MissingHandlingMethod\n     */\n    export enum MissingHandlingMethod {\n        NONE = 'NONE',\n        IMPUTE = 'IMPUTE',\n        DROP_ROW = 'DROP_ROW'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$CategoryHandlingMethod\n     */\n    export enum CategoryHandlingMethod {\n        FLAG_PRESENCE = 'FLAG_PRESENCE',\n        IMPACT = 'IMPACT',\n        DUMMIFY = 'DUMMIFY',\n        HASHING = 'HASHING',\n        ORDINAL = 'ORDINAL',\n        FREQUENCY = 'FREQUENCY',\n        CUSTOM = 'CUSTOM',\n        NONE = 'NONE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$DummyClippingMethod\n     */\n    export enum DummyClippingMethod {\n        MAX_NB_CATEGORIES = 'MAX_NB_CATEGORIES',\n        CUMULATIVE_PROPORTION = 'CUMULATIVE_PROPORTION',\n        MIN_SAMPLES = 'MIN_SAMPLES'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$OrdinalOrder\n     */\n    export enum OrdinalOrder {\n        COUNT = 'COUNT',\n        LEXICOGRAPHIC = 'LEXICOGRAPHIC'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$CatImputationMethod\n     */\n    export enum CatImputationMethod {\n        MODE = 'MODE',\n        CONSTANT = 'CONSTANT'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$OrdinalDefault\n     */\n    export enum OrdinalDefault {\n        HIGHEST = 'HIGHEST',\n        MEDIAN = 'MEDIAN',\n        EXPLICIT = 'EXPLICIT'\n    }\n}","import {Filter, _Filter} from './filter';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.filtering.AnumFilter\n */\nexport interface AnumFilter extends _Filter {\n    column: string;\n    values: string[];\n\n    // PolyJson type\n    type: 'anum';\n}\n\nexport namespace AnumFilter {\n    export const type = 'anum';\n}\n\nexport function isAnumFilter(toTest: Filter): toTest is AnumFilter { return AnumFilter.type === toTest.type; }","/**\n * Generated from com.dataiku.dip.coremodel.AppHomepageTile\n */\nexport interface _AppHomepageTile {\n    help: string;\n    helpTitle: string;\n    prompt: string;\n    type: AppHomepageTile.AppHomepageTileType;\n}\n\nexport type AppHomepageTile = AppHomepageTile.DownloadDashboardTile | AppHomepageTile.RunScenarioTile | AppHomepageTile.EditFolderTile | AppHomepageTile.DownloadReportTile | AppHomepageTile.EditInlineDatasetTile | AppHomepageTile.EditAnyDatasetTile | AppHomepageTile.ManagedFolderSetFileTile | AppHomepageTile.DashboardLinkTile | AppHomepageTile.EditFSDatasetTile | AppHomepageTile.ManagedFolderLinkTile | AppHomepageTile.PropagateSchemaTile | AppHomepageTile.UploadDatasetSetFileTile | AppHomepageTile.EditAnyStreamingEndpointTile | AppHomepageTile.DownloadManagedFolderTile | AppHomepageTile.GuessTrainDeployTile | AppHomepageTile.VariableDisplayTile | AppHomepageTile.DownloadDatasetTile | AppHomepageTile.ProjectVariablesTile | AppHomepageTile.EditSQLDatasetTile;\n\nexport namespace AppHomepageTile {\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditFolderTile\n     */\n    export interface EditFolderTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.EditFolderTileBehavior;\n        folderId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$DownloadReportTile\n     */\n    export interface DownloadReportTile extends _AppHomepageTile {\n        format: any /* TODO: Missing translation of com.dataiku.dip.reports.Report$ReportOutputFormat */;\n        reportId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$PropagateSchemaTileBehavior\n     */\n    export enum PropagateSchemaTileBehavior {\n        MANUAL = 'MANUAL',\n        AUTO_NO_BUILD = 'AUTO_NO_BUILD',\n        AUTO_WITH_BUILDS = 'AUTO_WITH_BUILDS'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$DashboardLinkTile\n     */\n    export interface DashboardLinkTile extends _AppHomepageTile {\n        dashboardId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditAnyDatasetTile\n     */\n    export interface EditAnyDatasetTile extends _AppHomepageTile {\n        datasetName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$GuessTrainDeployTile\n     */\n    export interface GuessTrainDeployTile extends _AppHomepageTile {\n        modelId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$AppHomepageTileType\n     */\n    export enum AppHomepageTileType {\n        UPLOAD_DATASET_SET_FILE = 'UPLOAD_DATASET_SET_FILE',\n        INLINE_DATASET_EDIT = 'INLINE_DATASET_EDIT',\n        MANAGED_FOLDER_ADD_FILE = 'MANAGED_FOLDER_ADD_FILE',\n        DATASET_EDIT_SETTINGS = 'DATASET_EDIT_SETTINGS',\n        STREAMING_ENDPOINT_EDIT_SETTINGS = 'STREAMING_ENDPOINT_EDIT_SETTINGS',\n        FILES_BASED_DATASET_BROWSE_AND_PREVIEW = 'FILES_BASED_DATASET_BROWSE_AND_PREVIEW',\n        MANAGED_FOLDER_BROWSE = 'MANAGED_FOLDER_BROWSE',\n        CONNECTION_EXPLORER_TO_REPLACE_THE_SETTINGS_OF_A_DATASET_WITH_A_NEW_TABLE_REFERENCE = 'CONNECTION_EXPLORER_TO_REPLACE_THE_SETTINGS_OF_A_DATASET_WITH_A_NEW_TABLE_REFERENCE',\n        PROJECT_VARIABLES_EDIT = 'PROJECT_VARIABLES_EDIT',\n        PERFORM_SCHEMA_PROPAGATION = 'PERFORM_SCHEMA_PROPAGATION',\n        GUESS_TRAIN_DEPLOY = 'GUESS_TRAIN_DEPLOY',\n        SCENARIO_RUN = 'SCENARIO_RUN',\n        DASHBOARD_LINK = 'DASHBOARD_LINK',\n        DOWNLOAD_DATASET = 'DOWNLOAD_DATASET',\n        DOWNLOAD_RMARKDOWN = 'DOWNLOAD_RMARKDOWN',\n        MANAGED_FOLDER_LINK = 'MANAGED_FOLDER_LINK',\n        DOWNLOAD_MANAGED_FOLDER_FILE = 'DOWNLOAD_MANAGED_FOLDER_FILE',\n        DOWNLOAD_DASHBOARD_EXPORT = 'DOWNLOAD_DASHBOARD_EXPORT',\n        VARIABLE_DISPLAY = 'VARIABLE_DISPLAY'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$DownloadManagedFolderTile\n     */\n    export interface DownloadManagedFolderTile extends _AppHomepageTile {\n        folderId: string;\n        itemPath: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditFSDatasetTile\n     */\n    export interface EditFSDatasetTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.EditFSDatasetTileBehavior;\n        datasetName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$UploadDatasetSetFileTile\n     */\n    export interface UploadDatasetSetFileTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.UploadDatasetSetFileTileBehavior;\n        datasetName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderSetFileTileBehavior\n     */\n    export enum ManagedFolderSetFileTileBehavior {\n        GO_TO_FOLDER = 'GO_TO_FOLDER',\n        INLINE_UPLOAD = 'INLINE_UPLOAD'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$PartitionDef\n     */\n    export interface PartitionDef {\n        from: string;\n        to: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderSetFileTile\n     */\n    export interface ManagedFolderSetFileTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.ManagedFolderSetFileTileBehavior;\n        folderId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$DownloadDashboardTile\n     */\n    export interface DownloadDashboardTile extends _AppHomepageTile {\n        dashboardId: string;\n        format: any /* TODO: Missing translation of com.dataiku.dip.graphicsexport.model.ExportFormat */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditFSDatasetTileBehavior\n     */\n    export enum EditFSDatasetTileBehavior {\n        GO_TO_DATASET = 'GO_TO_DATASET',\n        INLINE_BROWSE_ONLY = 'INLINE_BROWSE_ONLY',\n        INLINE_BROWSE_AND_REDETECT = 'INLINE_BROWSE_AND_REDETECT',\n        INLINE_BROWSE_REDETECT_AND_INFER = 'INLINE_BROWSE_REDETECT_AND_INFER',\n        MODAL_BROWSE_REDETECT_AND_INFER = 'MODAL_BROWSE_REDETECT_AND_INFER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$DownloadDatasetTile\n     */\n    export interface DownloadDatasetTile extends _AppHomepageTile {\n        datasetName: string;\n        exportParams: any /* TODO: Missing translation of com.dataiku.dip.export.ExportParams */;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$VariableDisplayTile\n     */\n    export interface VariableDisplayTile extends _AppHomepageTile {\n        content: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$RunScenarioTile\n     */\n    export interface RunScenarioTile extends _AppHomepageTile {\n        buttonText: string;\n        scenarioId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditSQLDatasetTile\n     */\n    export interface EditSQLDatasetTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.EditSQLDatasetTileBehavior;\n        datasetName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$UploadDatasetSetFileTileBehavior\n     */\n    export enum UploadDatasetSetFileTileBehavior {\n        GO_TO_DATASET = 'GO_TO_DATASET',\n        INLINE_UPLOAD_ONLY = 'INLINE_UPLOAD_ONLY',\n        INLINE_UPLOAD_AND_REDETECT = 'INLINE_UPLOAD_AND_REDETECT',\n        INLINE_UPLOAD_REDETECT_AND_INFER = 'INLINE_UPLOAD_REDETECT_AND_INFER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$PropagateSchemaTile\n     */\n    export interface PropagateSchemaTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.PropagateSchemaTileBehavior;\n        datasetName: string;\n        excludedRecipes: string[];\n        markAsOkRecipes: string[];\n        partitionByComputable: AppHomepageTile.PartitionDef[];\n        partitionByDim: AppHomepageTile.PartitionDef[];\n        recipeUpdateOptions: {[key: string]: any};\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditAnyStreamingEndpointTile\n     */\n    export interface EditAnyStreamingEndpointTile extends _AppHomepageTile {\n        streamingEndpointId: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditInlineDatasetTile\n     */\n    export interface EditInlineDatasetTile extends _AppHomepageTile {\n        datasetName: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$ProjectVariablesTile\n     */\n    export interface ProjectVariablesTile extends _AppHomepageTile {\n        behavior: AppHomepageTile.ProjectVariablesTileBehavior;\n        buttonText: string;\n        html: string;\n        js: string;\n        module: string;\n        params: any /* TODO: Missing translation of com.dataiku.dip.autoconfig.ParamDesc */[];\n        python: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditFolderTileBehavior\n     */\n    export enum EditFolderTileBehavior {\n        GO_TO_FOLDER = 'GO_TO_FOLDER',\n        INLINE_BROWSE = 'INLINE_BROWSE',\n        MODAL_BROWSE = 'MODAL_BROWSE'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$EditSQLDatasetTileBehavior\n     */\n    export enum EditSQLDatasetTileBehavior {\n        GO_TO_DATASET = 'GO_TO_DATASET',\n        INLINE_BROWSE_ONLY = 'INLINE_BROWSE_ONLY',\n        INLINE_BROWSE_AND_INFER = 'INLINE_BROWSE_AND_INFER',\n        MODAL_BROWSE_AND_INFER = 'MODAL_BROWSE_AND_INFER'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$ProjectVariablesTileBehavior\n     */\n    export enum ProjectVariablesTileBehavior {\n        INLINE_AUTO_SAVE = 'INLINE_AUTO_SAVE',\n        INLINE_EXPLICIT_SAVE = 'INLINE_EXPLICIT_SAVE',\n        MODAL = 'MODAL'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderLinkTile\n     */\n    export interface ManagedFolderLinkTile extends _AppHomepageTile {\n        folderId: string;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {Distribution} from './../../distributions/distribution';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution\n */\nexport interface TestDistribution extends Computation._UnivariateComputation {\n    distribution: Distribution.FittedDistribution;\n\n    // PolyJson type\n    type: 'test_distribution';\n}\n\nexport namespace TestDistribution {\n    export const type = 'test_distribution';\n}\n\nexport function isTestDistribution(toTest: Computation): toTest is TestDistribution { return TestDistribution.type === toTest.type; }\n\nexport namespace TestDistribution {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$TestDistributionResult\n     */\n    export interface TestDistributionResult extends _AvailableResult {\n        plot: TestDistribution.PlotData;\n        test: TestDistribution.StatTests;\n\n        // PolyJson type\n        type: 'test_distribution';\n    }\n\n    export namespace TestDistributionResult {\n        export const type = 'test_distribution';\n    }\n\n    export function isTestDistributionResult(toTest: ComputationResult): toTest is TestDistributionResult { return TestDistributionResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$ProbabilityMassFunction\n     */\n    export interface ProbabilityMassFunction {\n        probs: number[];\n        xvals: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$ProbabilityDensityFunction\n     */\n    export interface ProbabilityDensityFunction {\n        probs: number[];\n        xvals: number[];\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$LikelihoodTestsResult\n     */\n    export interface LikelihoodTestsResult {\n        aic?: number | null;\n        aicc?: number | null;\n        bic?: number | null;\n        ll?: number | null;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$PlotData\n     */\n    export interface PlotData {\n        pdf?: TestDistribution.ProbabilityDensityFunction | null;\n        pmf?: TestDistribution.ProbabilityMassFunction | null;\n        qq: TestDistribution.QQPlotData;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$KolmogorovSmirnovTestResult\n     */\n    export interface KolmogorovSmirnovTestResult {\n        pvalue: number;\n        statistic: number;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$StatTests\n     */\n    export interface StatTests {\n        ks?: TestDistribution.KolmogorovSmirnovTestResult | null;\n        ll: TestDistribution.LikelihoodTestsResult;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$QQPlotData\n     */\n    export interface QQPlotData {\n        empirical: number[];\n        percentile: number[];\n        theoretical: number[];\n    }\n}","import {BivariateHistogramCard} from './../bivariate_header/bivariate-histogram-card';\nimport {BoxPlotFragment} from './../fragments/box-plot-fragment';\nimport {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Filter} from './../../../compute/filtering/filter';\nimport {MoodTestNSampCard} from './../mood-test-nsamp-card';\nimport {OneWayANOVACard} from './../one-way-anovacard';\nimport {PairwiseMoodTestCard} from './../pairwise-mood-test-card';\nimport {PairwiseTTestCard} from './../pairwise-ttest-card';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard\n */\nexport interface _AbstractNSampTestCard extends _BivariateCard {\n    confidenceLevel: number;\n    maxGroups: number;\n    yValues?: string[] | null;\n}\n\nexport type AbstractNSampTestCard = MoodTestNSampCard | OneWayANOVACard | PairwiseTTestCard | PairwiseMoodTestCard;\n\nexport namespace AbstractNSampTestCard {\n    export const type = [\"mood_nsamp\" , \"oneway_anova\" , \"pairwise_ttest\" , \"pairwise_mood\"] as const;\n}\n\nexport function isAbstractNSampTestCard(toTest: Card): toTest is AbstractNSampTestCard { return (AbstractNSampTestCard.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace AbstractNSampTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard$AbstractNSampleTestCardResult\n     */\n    export interface _AbstractNSampleTestCardResult extends _CardResult {\n        allGroups: AbstractNSampTestCard.GroupInfo;\n        groups: AbstractNSampTestCard.GroupInfo[];\n        histogramData: BivariateHistogramCard.BivariateHistogramData;\n    }\n\n    export type AbstractNSampleTestCardResult = MoodTestNSampCard.MoodTestNSampCardResult | OneWayANOVACard.OneWayANOVACardResult | PairwiseMoodTestCard.PairwiseMoodTestCardResult | PairwiseTTestCard.PairwiseTTestCardResult;\n\n    export namespace AbstractNSampleTestCardResult {\n        export const type = [\"mood_nsamp\" , \"oneway_anova\" , \"pairwise_mood\" , \"pairwise_ttest\"] as const;\n    }\n\n    export function isAbstractNSampleTestCardResult(toTest: CardResult): toTest is AbstractNSampleTestCardResult { return (AbstractNSampleTestCardResult.type as readonly unknown[]).includes(toTest.type); }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard$GroupInfo\n     */\n    export interface GroupInfo {\n        boxPlot: BoxPlotFragment;\n        filter: Filter;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.bivariate.MutualInformation\n */\nexport interface MutualInformation extends Computation._BivariateComputation {\n    // PolyJson type\n    type: 'mutual_information';\n}\n\nexport namespace MutualInformation {\n    export const type = 'mutual_information';\n}\n\nexport function isMutualInformation(toTest: Computation): toTest is MutualInformation { return MutualInformation.type === toTest.type; }\n\nexport namespace MutualInformation {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.bivariate.MutualInformation$MutualInformationResult\n     */\n    export interface MutualInformationResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'mutual_information';\n    }\n\n    export namespace MutualInformationResult {\n        export const type = 'mutual_information';\n    }\n\n    export function isMutualInformationResult(toTest: ComputationResult): toTest is MutualInformationResult { return MutualInformationResult.type === toTest.type; }\n}","import {AbstractCardContainer, _AbstractCardContainer} from './abstract-card-container';\nimport {CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Variable} from './../../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.ColumnCard\n */\nexport interface ColumnCard extends _AbstractCardContainer {\n    column: Variable;\n\n    // PolyJson type\n    type: 'column_card';\n}\n\nexport namespace ColumnCard {\n    export const type = 'column_card';\n}\n\nexport function isColumnCard(toTest: Card): toTest is ColumnCard { return ColumnCard.type === toTest.type; }\n\nexport namespace ColumnCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.ColumnCard$ColumnCardResult\n     */\n    export interface ColumnCardResult extends AbstractCardContainer._AbstractCardContainerResult {\n        column: Variable;\n\n        // PolyJson type\n        type: 'column_card';\n    }\n\n    export namespace ColumnCardResult {\n        export const type = 'column_card';\n    }\n\n    export function isColumnCardResult(toTest: CardResult): toTest is ColumnCardResult { return ColumnCardResult.type === toTest.type; }\n}","import {Distribution2D, _Distribution2D} from './distribution2-d';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.JointNormal\n */\nexport interface JointNormal extends _Distribution2D {\n    // PolyJson type\n    type: 'joint_normal';\n}\n\nexport namespace JointNormal {\n    export const type = 'joint_normal';\n}\n\nexport function isJointNormal(toTest: Distribution2D): toTest is JointNormal { return JointNormal.type === toTest.type; }\n\nexport namespace JointNormal {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.JointNormal$FittedJointNormal\n     */\n    export interface FittedJointNormal extends Distribution2D._FittedDistribution2D {\n        covs: number[][];\n        means: number[];\n\n        // PolyJson type\n        type: 'joint_normal';\n    }\n\n    export namespace FittedJointNormal {\n        export const type = 'joint_normal';\n    }\n\n    export function isFittedJointNormal(toTest: Distribution2D.FittedDistribution2D): toTest is FittedJointNormal { return FittedJointNormal.type === toTest.type; }\n}","import {BinningMode} from './../../models/binning-mode';\nimport {BivariateFrequencyTableCard} from './bivariate-frequency-table-card';\nimport {BivariateHistogramCard} from './bivariate-histogram-card';\nimport {Card} from './../card';\nimport {MosaicPlotCard} from './mosaic-plot-card';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.Abstract2DPivotCard\n */\nexport interface _Abstract2DPivotCard extends _BivariateCard {\n    groupWithOthersX: boolean;\n    groupWithOthersY: boolean;\n    maxValuesX: number;\n    maxValuesY: number;\n    xBinningMode: BinningMode;\n    xCustomBinningBoundaries: number[];\n    yBinningMode: BinningMode;\n    yCustomBinningBoundaries: number[];\n}\n\nexport type Abstract2DPivotCard = BivariateFrequencyTableCard | BivariateHistogramCard | MosaicPlotCard;\n\nexport namespace Abstract2DPivotCard {\n    export const type = [\"bivariate_frequency_table\" , \"bivariate_histogram\" , \"mosaic_plot\"] as const;\n}\n\nexport function isAbstract2DPivotCard(toTest: Card): toTest is Abstract2DPivotCard { return (Abstract2DPivotCard.type as readonly unknown[]).includes(toTest.type); }","import {Grouping, _Grouping} from './grouping';\nimport {GroupingResult, _GroupingResult} from './grouping-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.grouping.AnumGrouping\n */\nexport interface AnumGrouping extends _Grouping {\n    column: string;\n    groupOthers: boolean;\n    maxValues?: number | null;\n\n    // PolyJson type\n    type: 'anum';\n}\n\nexport namespace AnumGrouping {\n    export const type = 'anum';\n}\n\nexport function isAnumGrouping(toTest: Grouping): toTest is AnumGrouping { return AnumGrouping.type === toTest.type; }\n\nexport namespace AnumGrouping {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.grouping.AnumGrouping$AnumGroupingResult\n     */\n    export interface AnumGroupingResult extends _GroupingResult {\n        column: string;\n        hasAllValues: boolean;\n        hasOthers: boolean;\n        values: string[];\n\n        // PolyJson type\n        type: 'anum';\n    }\n\n    export namespace AnumGroupingResult {\n        export const type = 'anum';\n    }\n\n    export function isAnumGroupingResult(toTest: GroupingResult): toTest is AnumGroupingResult { return AnumGroupingResult.type === toTest.type; }\n}","/**\n * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams\n */\nexport interface DeepHubMetricParams {\n    confidenceScoreThresholdOptimMetric: DeepHubMetricParams.ConfidenceScoreThresholdOptimizationMetric;\n    evaluationMetric: DeepHubMetricParams.EvaluationMetric;\n}\n\nexport namespace DeepHubMetricParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams$EvaluationMetric\n     */\n    export enum EvaluationMetric {\n        AVERAGE_PRECISION_IOU50 = 'AVERAGE_PRECISION_IOU50',\n        AVERAGE_PRECISION_IOU75 = 'AVERAGE_PRECISION_IOU75',\n        AVERAGE_PRECISION_ALL_IOU = 'AVERAGE_PRECISION_ALL_IOU',\n        ROC_AUC = 'ROC_AUC',\n        PRECISION = 'PRECISION',\n        RECALL = 'RECALL',\n        F1 = 'F1',\n        ACCURACY = 'ACCURACY',\n        LOG_LOSS = 'LOG_LOSS'\n    }\n\n    /**\n     * Generated from com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams$ConfidenceScoreThresholdOptimizationMetric\n     */\n    export enum ConfidenceScoreThresholdOptimizationMetric {\n        F1 = 'F1',\n        PRECISION = 'PRECISION',\n        RECALL = 'RECALL'\n    }\n}","import {BivariateHeaderCard} from './../bivariate_header/bivariate-header-card';\nimport {Card, _Card} from './../card';\nimport {CardResult, _CardResult} from './../card-result';\nimport {ColumnCard} from './column-card';\nimport {UnivariateHeaderCard} from './../univariate_header/univariate-header-card';\nimport {WorksheetRootCard} from './../worksheet-root-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractCardContainer\n */\nexport interface _AbstractCardContainer extends _Card {\n    cards: Card[];\n}\n\nexport type AbstractCardContainer = BivariateHeaderCard | WorksheetRootCard | UnivariateHeaderCard | ColumnCard;\n\nexport namespace AbstractCardContainer {\n    export const type = [\"bivariate_header\" , \"worksheet_root\" , \"univariate_header\" , \"column_card\"] as const;\n}\n\nexport function isAbstractCardContainer(toTest: Card): toTest is AbstractCardContainer { return (AbstractCardContainer.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace AbstractCardContainer {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractCardContainer$AbstractCardContainerResult\n     */\n    export interface _AbstractCardContainerResult extends _CardResult {\n        results: CardResult[];\n    }\n\n    export type AbstractCardContainerResult = UnivariateHeaderCard.UnivariateHeaderCardResult | BivariateHeaderCard.BivariateHeaderCardResult | WorksheetRootCard.WorksheetRootCardResult | ColumnCard.ColumnCardResult;\n\n    export namespace AbstractCardContainerResult {\n        export const type = [\"univariate_header\" , \"bivariate_header\" , \"worksheet_root\" , \"column_card\"] as const;\n    }\n\n    export function isAbstractCardContainerResult(toTest: CardResult): toTest is AbstractCardContainerResult { return (AbstractCardContainerResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {AbstractHeaderCard, _AbstractHeaderCard} from './../common/abstract-header-card';\nimport {CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {Variable} from './../../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHeaderCard\n */\nexport interface BivariateHeaderCard extends _AbstractHeaderCard {\n    showBoxPlot: boolean;\n    showFrequencyTable: boolean;\n    showHistogram: boolean;\n    showMosaicPlot: boolean;\n    showScatterPlot: boolean;\n    showSummary: boolean;\n    yColumn: Variable;\n\n    // PolyJson type\n    type: 'bivariate_header';\n}\n\nexport namespace BivariateHeaderCard {\n    export const type = 'bivariate_header';\n}\n\nexport function isBivariateHeaderCard(toTest: Card): toTest is BivariateHeaderCard { return BivariateHeaderCard.type === toTest.type; }\n\nexport namespace BivariateHeaderCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHeaderCard$BivariateHeaderCardResult\n     */\n    export interface BivariateHeaderCardResult extends AbstractHeaderCard._AbstractHeaderCardResult {\n        // PolyJson type\n        type: 'bivariate_header';\n    }\n\n    export namespace BivariateHeaderCardResult {\n        export const type = 'bivariate_header';\n    }\n\n    export function isBivariateHeaderCardResult(toTest: CardResult): toTest is BivariateHeaderCardResult { return BivariateHeaderCardResult.type === toTest.type; }\n}","import {AbstractNSampTestCard} from './abstract-nsamp-test-card';\nimport {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {KsTest2SampCard} from './../ks-test2-samp-card';\nimport {MoodTest2SampCard} from './../mood-test2-samp-card';\nimport {TTest2SampCard} from './../ttest2-samp-card';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.Abstract2SampTestCard\n */\nexport interface _Abstract2SampTestCard extends _BivariateCard {\n    confidenceLevel: number;\n    value1?: string[] | null;\n    value2?: string[] | null;\n}\n\nexport type Abstract2SampTestCard = MoodTest2SampCard | TTest2SampCard | KsTest2SampCard;\n\nexport namespace Abstract2SampTestCard {\n    export const type = [\"mood_test_2samp\" , \"ttest_2samp\" , \"ks_test_2samp\"] as const;\n}\n\nexport function isAbstract2SampTestCard(toTest: Card): toTest is Abstract2SampTestCard { return (Abstract2SampTestCard.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace Abstract2SampTestCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.Abstract2SampTestCard$Abstract2SampTestCardResult\n     */\n    export interface _Abstract2SampTestCardResult extends _CardResult {\n        allGroups: AbstractNSampTestCard.GroupInfo;\n        groups: AbstractNSampTestCard.GroupInfo[];\n    }\n\n    export type Abstract2SampTestCardResult = MoodTest2SampCard.MoodTest2SampCardResult | TTest2SampCard.TTest2SampCardResult | KsTest2SampCard.KsTest2SampCardResult;\n\n    export namespace Abstract2SampTestCardResult {\n        export const type = [\"mood_test_2samp\" , \"ttest_2samp\" , \"ks_test_2samp\"] as const;\n    }\n\n    export function isAbstract2SampTestCardResult(toTest: CardResult): toTest is Abstract2SampTestCardResult { return (Abstract2SampTestCardResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.NormalMixture\n */\nexport interface NormalMixture extends _Distribution {\n    nbComponents: number;\n\n    // PolyJson type\n    type: 'normal_mixture';\n}\n\nexport namespace NormalMixture {\n    export const type = 'normal_mixture';\n}\n\nexport function isNormalMixture(toTest: Distribution): toTest is NormalMixture { return NormalMixture.type === toTest.type; }\n\nexport namespace NormalMixture {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.NormalMixture$FittedNormalMixture\n     */\n    export interface FittedNormalMixture extends Distribution._FittedDistribution {\n        components: NormalMixture.FittedNormalMixture.Component[];\n\n        // PolyJson type\n        type: 'normal_mixture';\n    }\n\n    export namespace FittedNormalMixture {\n        export const type = 'normal_mixture';\n    }\n\n    export function isFittedNormalMixture(toTest: Distribution.FittedDistribution): toTest is FittedNormalMixture { return FittedNormalMixture.type === toTest.type; }\n}\n\nexport namespace NormalMixture.FittedNormalMixture {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.NormalMixture$FittedNormalMixture$Component\n     */\n    export interface Component {\n        mean: number;\n        std: number;\n        weight: number;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\nimport {_TimeSeriesComputation} from './time-series-computation';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest\n */\nexport interface MannKendallTest extends _TimeSeriesComputation {\n    alpha: number;\n\n    // PolyJson type\n    type: 'mann_kendall';\n}\n\nexport namespace MannKendallTest {\n    export const type = 'mann_kendall';\n}\n\nexport function isMannKendallTest(toTest: Computation): toTest is MannKendallTest { return MannKendallTest.type === toTest.type; }\n\nexport namespace MannKendallTest {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest$MannKendallTestResult\n     */\n    export interface MannKendallTestResult extends _AvailableResult {\n        intercept?: number | null;\n        pValue: number;\n        score: number;\n        slope?: number | null;\n        statistic: number;\n        tau: number;\n        trend: MannKendallTest.Trend;\n        variance: number;\n\n        // PolyJson type\n        type: 'mann_kendall';\n    }\n\n    export namespace MannKendallTestResult {\n        export const type = 'mann_kendall';\n    }\n\n    export function isMannKendallTestResult(toTest: ComputationResult): toTest is MannKendallTestResult { return MannKendallTestResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest$Trend\n     */\n    export enum Trend {\n        DECREASING = 'DECREASING',\n        INCREASING = 'INCREASING',\n        NO_TREND = 'NO_TREND'\n    }\n}","import {AbstractCardContainer, _AbstractCardContainer} from './abstract-card-container';\nimport {BivariateHeaderCard} from './../bivariate_header/bivariate-header-card';\nimport {CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {UnivariateHeaderCard} from './../univariate_header/univariate-header-card';\nimport {Variable} from './../../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractHeaderCard\n */\nexport interface _AbstractHeaderCard extends _AbstractCardContainer {\n    xColumns: Variable[];\n}\n\nexport type AbstractHeaderCard = BivariateHeaderCard | UnivariateHeaderCard;\n\nexport namespace AbstractHeaderCard {\n    export const type = [\"bivariate_header\" , \"univariate_header\"] as const;\n}\n\nexport function isAbstractHeaderCard(toTest: Card): toTest is AbstractHeaderCard { return (AbstractHeaderCard.type as readonly unknown[]).includes(toTest.type); }\n\nexport namespace AbstractHeaderCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.common.AbstractHeaderCard$AbstractHeaderCardResult\n     */\n    export interface _AbstractHeaderCardResult extends AbstractCardContainer._AbstractCardContainerResult {}\n\n    export type AbstractHeaderCardResult = UnivariateHeaderCard.UnivariateHeaderCardResult | BivariateHeaderCard.BivariateHeaderCardResult;\n\n    export namespace AbstractHeaderCardResult {\n        export const type = [\"univariate_header\" , \"bivariate_header\"] as const;\n    }\n\n    export function isAbstractHeaderCardResult(toTest: CardResult): toTest is AbstractHeaderCardResult { return (AbstractHeaderCardResult.type as readonly unknown[]).includes(toTest.type); }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.StdDev\n */\nexport interface StdDev extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'std_dev';\n}\n\nexport namespace StdDev {\n    export const type = 'std_dev';\n}\n\nexport function isStdDev(toTest: Computation): toTest is StdDev { return StdDev.type === toTest.type; }\n\nexport namespace StdDev {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.StdDev$StdDevResult\n     */\n    export interface StdDevResult extends _AvailableResult {\n        value: number;\n\n        // PolyJson type\n        type: 'std_dev';\n    }\n\n    export namespace StdDevResult {\n        export const type = 'std_dev';\n    }\n\n    export function isStdDevResult(toTest: ComputationResult): toTest is StdDevResult { return StdDevResult.type === toTest.type; }\n}","import {BivariateFrequencyTableFragment} from './../fragments/bivariate-frequency-table-fragment';\nimport {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {_Abstract2DPivotCard} from './abstract2-dpivot-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateFrequencyTableCard\n */\nexport interface BivariateFrequencyTableCard extends _Abstract2DPivotCard {\n    // PolyJson type\n    type: 'bivariate_frequency_table';\n}\n\nexport namespace BivariateFrequencyTableCard {\n    export const type = 'bivariate_frequency_table';\n}\n\nexport function isBivariateFrequencyTableCard(toTest: Card): toTest is BivariateFrequencyTableCard { return BivariateFrequencyTableCard.type === toTest.type; }\n\nexport namespace BivariateFrequencyTableCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateFrequencyTableCard$BivariateFrequencyTableCardResult\n     */\n    export interface BivariateFrequencyTableCardResult extends _CardResult {\n        table: BivariateFrequencyTableFragment;\n\n        // PolyJson type\n        type: 'bivariate_frequency_table';\n    }\n\n    export namespace BivariateFrequencyTableCardResult {\n        export const type = 'bivariate_frequency_table';\n    }\n\n    export function isBivariateFrequencyTableCardResult(toTest: CardResult): toTest is BivariateFrequencyTableCardResult { return BivariateFrequencyTableCardResult.type === toTest.type; }\n}","import {ComputationResult} from './computation-result';\nimport {EdaErrorCodes} from './../../eda-error-codes';\nimport {_UnavailableResult} from './unavailable-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.FailedResult\n */\nexport interface FailedResult extends _UnavailableResult {\n    code: EdaErrorCodes;\n    message: string;\n\n    // PolyJson type\n    type: 'failed';\n}\n\nexport namespace FailedResult {\n    export const type = 'failed';\n}\n\nexport function isFailedResult(toTest: ComputationResult): toTest is FailedResult { return FailedResult.type === toTest.type; }","import {ClusteringModelingParams} from './../clustering-modeling-params';\nimport {PredictionModelingParams} from './../prediction/prediction-modeling-params';\n\n/**\n * Generated from com.dataiku.dip.analysis.model.clustering.PreTrainClusteringModelingParams\n */\nexport interface PreTrainClusteringModelingParams {\n    affinity: string;\n    algorithm: PreTrainClusteringModelingParams.Algorithm;\n    coef0: number;\n    custom_has_k: boolean;\n    custom_model_name: string;\n    epsilon: number;\n    gamma: number;\n    init: string;\n    isolation_forest: ClusteringModelingParams.IsolationForestParams;\n    k: number;\n    max_iterations: number;\n    metrics: ClusteringModelingParams.MetricParams;\n    min_sample_ratio: number;\n    mllib_custom: PredictionModelingParams.MLLibCustomGridParams;\n    n_jobs: number;\n    scikit_clf: string;\n    seed: number;\n    ts_kmeans_k: number;\n}\n\nexport namespace PreTrainClusteringModelingParams {\n    /**\n     * Generated from com.dataiku.dip.analysis.model.clustering.PreTrainClusteringModelingParams$Algorithm\n     */\n    export enum Algorithm {\n        KMEANS = 'KMEANS',\n        MiniBatchKMeans = 'MiniBatchKMeans',\n        SPECTRAL = 'SPECTRAL',\n        WARD = 'WARD',\n        DBSCAN = 'DBSCAN',\n        GMM = 'GMM',\n        SCIKIT_MODEL = 'SCIKIT_MODEL',\n        PY_TWO_STEP = 'PY_TWO_STEP',\n        PY_ISOLATION_FOREST = 'PY_ISOLATION_FOREST',\n        MLLIB_KMEANS = 'MLLIB_KMEANS',\n        MLLIB_GAUSSIAN_MIXTURE = 'MLLIB_GAUSSIAN_MIXTURE',\n        MLLIB_CUSTOM = 'MLLIB_CUSTOM',\n        MLLIB_TWO_STEP = 'MLLIB_TWO_STEP',\n        MLLIB_ISOLATION_FOREST = 'MLLIB_ISOLATION_FOREST',\n        VERTICA_KMEANS = 'VERTICA_KMEANS',\n        SPARKLING_KMEANS = 'SPARKLING_KMEANS'\n    }\n}","import {CardResult} from './../cards/card-result';\nimport {Card} from './../cards/card';\nimport {Filter} from './../../compute/filtering/filter';\nimport {InteractiveQuery, _InteractiveQuery} from './interactive-query';\nimport {Variable} from './../models/variable';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.queries.SuggestCards\n */\nexport interface SuggestCards extends _InteractiveQuery {\n    assistantSettings: SuggestCards.AssistantSettings;\n    selectedVariables: string[];\n\n    // PolyJson type\n    type: 'suggest_cards';\n}\n\nexport namespace SuggestCards {\n    export const type = 'suggest_cards';\n}\n\nexport function isSuggestCards(toTest: InteractiveQuery): toTest is SuggestCards { return SuggestCards.type === toTest.type; }\n\nexport namespace SuggestCards {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestCardsResult\n     */\n    export interface SuggestCardsResult extends InteractiveQuery._InteractiveQueryResult {\n        suggestedCards: SuggestCards.SuggestedCard[];\n        suggestedVariables: SuggestCards.SuggestedVariable[];\n\n        // PolyJson type\n        type: 'suggest_cards';\n    }\n\n    export namespace SuggestCardsResult {\n        export const type = 'suggest_cards';\n    }\n\n    export function isSuggestCardsResult(toTest: InteractiveQuery.InteractiveQueryResult): toTest is SuggestCardsResult { return SuggestCardsResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestedCard\n     */\n    export interface SuggestedCard {\n        card: Card;\n        miniatureCard: Card;\n        miniatureResult: CardResult;\n        name: string;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestedVariable\n     */\n    export interface SuggestedVariable {\n        card: Card;\n        explanations: string[];\n        individualScore: number;\n        name: string;\n        result: CardResult;\n        totalScore: number;\n        type: Variable.Type;\n    }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.queries.SuggestCards$AssistantSettings\n     */\n    export interface AssistantSettings {\n        confidenceLevel: number;\n        highlightFilter?: Filter | null;\n        showConfidenceInterval: boolean;\n    }\n}","import {Distribution, _Distribution} from './distribution';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.distributions.LogNormal\n */\nexport interface LogNormal extends _Distribution {\n    // PolyJson type\n    type: 'lognormal';\n}\n\nexport namespace LogNormal {\n    export const type = 'lognormal';\n}\n\nexport function isLogNormal(toTest: Distribution): toTest is LogNormal { return LogNormal.type === toTest.type; }\n\nexport namespace LogNormal {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.distributions.LogNormal$FittedLogNormal\n     */\n    export interface FittedLogNormal extends Distribution._FittedDistribution {\n        logmean: number;\n        logstd: number;\n\n        // PolyJson type\n        type: 'lognormal';\n    }\n\n    export namespace FittedLogNormal {\n        export const type = 'lognormal';\n    }\n\n    export function isFittedLogNormal(toTest: Distribution.FittedDistribution): toTest is FittedLogNormal { return FittedLogNormal.type === toTest.type; }\n}","import {CardResult, _CardResult} from './../card-result';\nimport {Card} from './../card';\nimport {SummaryCardBuilder} from './../common/summary-card-builder';\nimport {_BivariateCard} from './../bivariate-card';\n\n/**\n * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard\n */\nexport interface BivariateSummaryStatsCard extends _BivariateCard {\n    compute: BivariateSummaryStatsCard.StatsToCompute;\n    confidenceLevel: number;\n    showConfidenceInterval: boolean;\n\n    // PolyJson type\n    type: 'bivariate_summary';\n}\n\nexport namespace BivariateSummaryStatsCard {\n    export const type = 'bivariate_summary';\n}\n\nexport function isBivariateSummaryStatsCard(toTest: Card): toTest is BivariateSummaryStatsCard { return BivariateSummaryStatsCard.type === toTest.type; }\n\nexport namespace BivariateSummaryStatsCard {\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard$BivariateSummaryStatsCardResult\n     */\n    export interface BivariateSummaryStatsCardResult extends _CardResult {\n        stats: SummaryCardBuilder.ComputedStat[];\n\n        // PolyJson type\n        type: 'bivariate_summary';\n    }\n\n    export namespace BivariateSummaryStatsCardResult {\n        export const type = 'bivariate_summary';\n    }\n\n    export function isBivariateSummaryStatsCardResult(toTest: CardResult): toTest is BivariateSummaryStatsCardResult { return BivariateSummaryStatsCardResult.type === toTest.type; }\n\n    /**\n     * Generated from com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard$StatsToCompute\n     */\n    export interface StatsToCompute {\n        chi2: boolean;\n        completeCount: boolean;\n        covariance: boolean;\n        kendallTau: boolean;\n        kolmogorovSmirnov: boolean;\n        mutualInformation: boolean;\n        nSampleMood: boolean;\n        oneWayAnova: boolean;\n        pearson: boolean;\n        spearman: boolean;\n        totalCount: boolean;\n    }\n}","import {ComputationResult} from './../computation-result';\nimport {Computation} from './../computation';\nimport {_AvailableResult} from './../available-result';\n\n/**\n * Generated from com.dataiku.dip.eda.compute.computations.univariate.Shapiro\n */\nexport interface Shapiro extends Computation._UnivariateComputation {\n    // PolyJson type\n    type: 'shapiro';\n}\n\nexport namespace Shapiro {\n    export const type = 'shapiro';\n}\n\nexport function isShapiro(toTest: Computation): toTest is Shapiro { return Shapiro.type === toTest.type; }\n\nexport namespace Shapiro {\n    /**\n     * Generated from com.dataiku.dip.eda.compute.computations.univariate.Shapiro$ShapiroResult\n     */\n    export interface ShapiroResult extends _AvailableResult {\n        pvalue: number;\n        statistic: number;\n\n        // PolyJson type\n        type: 'shapiro';\n    }\n\n    export namespace ShapiroResult {\n        export const type = 'shapiro';\n    }\n\n    export function isShapiroResult(toTest: ComputationResult): toTest is ShapiroResult { return ShapiroResult.type === toTest.type; }\n}","export const GENERATED_MAPPING = {\n    'com.dataiku.dip.eda.worksheets.cards.univariate_header.QuantilesTableCard' : 'QuantilesTableCard',\n    'com.dataiku.dip.eda.worksheets.cards.univariate_header.QuantilesTableCard$QuantilesTableCardResult' : 'QuantilesTableCard.QuantilesTableCardResult',\n    'com.dataiku.dip.analysis.model.prediction.DataEvaluationMetrics' : 'DataEvaluationMetrics',\n    'com.dataiku.dip.eda.compute.distributions.Triangular$FittedTriangular' : 'Triangular.FittedTriangular',\n    'com.dataiku.dip.eda.compute.distributions.Triangular' : 'Triangular',\n    'com.dataiku.dip.analysis.model.prediction.BinaryClassificationModelPerf$CalibrationBin' : 'BinaryClassificationModelPerf.CalibrationBin',\n    'com.dataiku.dip.analysis.model.prediction.BinaryClassificationModelPerf$ClassProbabilityDensityData' : 'BinaryClassificationModelPerf.ClassProbabilityDensityData',\n    'com.dataiku.dip.analysis.model.prediction.BinaryClassificationModelPerf$RocVizBin' : 'BinaryClassificationModelPerf.RocVizBin',\n    'com.dataiku.dip.analysis.model.prediction.ResolvedPredictionPreprocessingParams' : 'ResolvedPredictionPreprocessingParams',\n    'com.dataiku.dip.analysis.model.prediction.TimeOrderingParams' : 'TimeOrderingParams',\n    'com.dataiku.dip.eda.worksheets.WorksheetsService$WorksheetHead' : 'WorksheetsService.WorksheetHead',\n    'com.dataiku.dip.eda.compute.grouping.TopNTimeGrouping' : 'TopNTimeGrouping',\n    'com.dataiku.dip.eda.compute.grouping.TopNTimeGrouping$TopNTimeGroupingResult' : 'TopNTimeGrouping.TopNTimeGroupingResult',\n    'com.dataiku.dip.eda.worksheets.cards.CDFPlotCard$CDFItem' : 'CDFPlotCard.CDFItem',\n    'com.dataiku.dip.eda.worksheets.cards.CDFPlotCard$CDFPlotCardResult' : 'CDFPlotCard.CDFPlotCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.CDFPlotCard' : 'CDFPlotCard',\n    'com.dataiku.dip.server.UsabilityComputer$ListSettings' : 'UsabilityComputer.ListSettings',\n    'com.dataiku.dip.server.UsabilityComputer$UsableComputable' : 'UsabilityComputer.UsableComputable',\n    'com.dataiku.dip.server.UsabilityComputer$Usable' : 'UsabilityComputer.Usable',\n    'com.dataiku.dip.eda.compute.computations.univariate.TimeStep' : 'TimeStep',\n    'com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$Step' : 'TimeStep.TimeStepResult.Step',\n    'com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$BusinessDaysStep' : 'TimeStep.TimeStepResult.BusinessDaysStep',\n    'com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult' : 'TimeStep.TimeStepResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.TimeStep$TimeStepResult$IsoDurationStep' : 'TimeStep.TimeStepResult.IsoDurationStep',\n    'com.dataiku.dip.eda.worksheets.cards.PCACard' : 'PCACard',\n    'com.dataiku.dip.eda.worksheets.cards.PCACard$PCACardResult' : 'PCACard.PCACardResult',\n    'com.dataiku.dip.analysis.model.clustering.ClusteringModelDetails' : 'ClusteringModelDetails',\n    'com.dataiku.dip.eda.compute.grouping.SubsetGrouping' : 'SubsetGrouping',\n    'com.dataiku.dip.eda.compute.grouping.SubsetGrouping$SubsetGroupingResult' : 'SubsetGrouping.SubsetGroupingResult',\n    'com.dataiku.dip.analysis.model.clustering.ResolvedClusteringCoreParams' : 'ResolvedClusteringCoreParams',\n    'com.dataiku.dip.server.controllers.StreamingEndpointsController$StreamingEndpointListItem' : 'StreamingEndpointsController.StreamingEndpointListItem',\n    'com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard$CorrelationMetric' : 'CorrelationMatrixCard.CorrelationMetric',\n    'com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard' : 'CorrelationMatrixCard',\n    'com.dataiku.dip.eda.worksheets.cards.CorrelationMatrixCard$CorrelationMatrixCardResult' : 'CorrelationMatrixCard.CorrelationMatrixCardResult',\n    'com.dataiku.dip.analysis.ml.SparkConstants$Checkpoint' : 'SparkConstants.Checkpoint',\n    'com.dataiku.dip.eda.compute.distributions.Weibull' : 'Weibull',\n    'com.dataiku.dip.eda.compute.distributions.Weibull$FittedWeibull' : 'Weibull.FittedWeibull',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard' : 'ScatterPlotCard',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard$ScatterPlotSeries' : 'ScatterPlotCard.ScatterPlotSeries',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.ScatterPlotCard$ScatterPlotCardResult' : 'ScatterPlotCard.ScatterPlotCardResult',\n    'com.dataiku.dip.server.services.ProjectsService$UIProject' : 'ProjectsService.UIProject',\n    'com.dataiku.dip.eda.compute.filtering.AndFilter' : 'AndFilter',\n    'com.dataiku.dip.eda.compute.computations.univariate.OneWayAnova$OneWayAnovaResult' : 'OneWayAnova.OneWayAnovaResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.OneWayAnova' : 'OneWayAnova',\n    'com.dataiku.dip.eda.worksheets.cards.MoodTest2SampCard' : 'MoodTest2SampCard',\n    'com.dataiku.dip.eda.worksheets.cards.MoodTest2SampCard$MoodTest2SampCardResult' : 'MoodTest2SampCard.MoodTest2SampCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.Fit2DDistributionCard' : 'Fit2DDistributionCard',\n    'com.dataiku.dip.eda.worksheets.cards.Fit2DDistributionCard$Fit2DDistributionCardResult' : 'Fit2DDistributionCard.Fit2DDistributionCardResult',\n    'com.dataiku.dip.analysis.model.prediction.EnsembleParams' : 'EnsembleParams',\n    'com.dataiku.dip.analysis.model.prediction.EnsembleParams$EnsembleMethod' : 'EnsembleParams.EnsembleMethod',\n    'com.dataiku.dip.eda.worksheets.models.BinningMode' : 'BinningMode',\n    'com.dataiku.dip.analysis.model.prediction.PartitionedModelParams' : 'PartitionedModelParams',\n    'com.dataiku.dip.analysis.ml.MLSparkParams' : 'MLSparkParams',\n    'com.dataiku.dip.eda.compute.curves.IsotonicCurve$ParametrizedIsotonicCurve' : 'IsotonicCurve.ParametrizedIsotonicCurve',\n    'com.dataiku.dip.eda.compute.curves.IsotonicCurve' : 'IsotonicCurve',\n    'com.dataiku.dip.datasets.Type' : 'Type',\n    'com.dataiku.dip.server.datasets.DatasetsCRUDController$DatasetListItem' : 'DatasetsCRUDController.DatasetListItem',\n    'com.dataiku.dip.server.datasets.DatasetsCRUDController$RecipeLink' : 'DatasetsCRUDController.RecipeLink',\n    'com.dataiku.dip.shaker.model.GroupScriptStep' : 'GroupScriptStep',\n    'com.dataiku.dip.eda.compute.computations.bivariate.Spearman$SpearmanResult' : 'Spearman.SpearmanResult',\n    'com.dataiku.dip.eda.compute.computations.bivariate.Spearman' : 'Spearman',\n    'com.dataiku.dip.analysis.model.prediction.ResolvedPredictionCoreParams' : 'ResolvedPredictionCoreParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionMethod' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$LassoParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams.LassoParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$CorrelationParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams.CorrelationParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams' : 'ClassicalPredictionPreprocessingParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$RandomForestParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams.RandomForestParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$CustomParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams.CustomParams',\n    'com.dataiku.dip.analysis.model.preprocessing.ClassicalPredictionPreprocessingParams$FeatureSelectionParams$PCAParams' : 'ClassicalPredictionPreprocessingParams.FeatureSelectionParams.PCAParams',\n    'com.dataiku.dip.shaker.facet.AlphanumLikeFacet' : 'AlphanumLikeFacet',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractPairwiseTestCard' : 'AbstractPairwiseTestCard',\n    'com.dataiku.dip.analysis.model.prediction.PreTrainPredictionModelingParams$Algorithm' : 'PreTrainPredictionModelingParams.Algorithm',\n    'com.dataiku.dip.analysis.model.prediction.PreTrainPredictionModelingParams' : 'PreTrainPredictionModelingParams',\n    'com.dataiku.dip.eda.compute.computations.univariate.Sem' : 'Sem',\n    'com.dataiku.dip.eda.compute.computations.univariate.Sem$SemResult' : 'Sem.SemResult',\n    'com.dataiku.dip.coremodel.Checklists' : 'Checklists',\n    'com.dataiku.dip.analysis.model.prediction.assertions.MLAssertionsParams$MLAssertion$AssertionCondition' : 'MLAssertionsParams.MLAssertion.AssertionCondition',\n    'com.dataiku.dip.analysis.model.prediction.assertions.MLAssertionsParams' : 'MLAssertionsParams',\n    'com.dataiku.dip.analysis.model.prediction.assertions.MLAssertionsParams$MLAssertion' : 'MLAssertionsParams.MLAssertion',\n    'com.dataiku.dip.server.services.ITaggingService$TaggableType' : 'ITaggingService.TaggableType',\n    'com.dataiku.dip.dashboards.model.DashboardPage' : 'DashboardPage',\n    'com.dataiku.dip.eda.compute.computations.univariate.ZTest1Samp$ZTest1SampResult' : 'ZTest1Samp.ZTest1SampResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.ZTest1Samp' : 'ZTest1Samp',\n    'com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard' : 'ParallelCoordinatesPlotCard',\n    'com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard$ParallelCoordinatesPlotCardResult' : 'ParallelCoordinatesPlotCard.ParallelCoordinatesPlotCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.ParallelCoordinatesPlotCard$ParallelCoordinates' : 'ParallelCoordinatesPlotCard.ParallelCoordinates',\n    'com.dataiku.dip.eda.compute.sampling.DataSpec' : 'DataSpec',\n    'com.dataiku.dip.eda.compute.computations.univariate.Mean' : 'Mean',\n    'com.dataiku.dip.eda.compute.computations.univariate.Mean$MeanResult' : 'Mean.MeanResult',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$EvaluationMetric' : 'ClusteringModelingParams.EvaluationMetric',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$KMeansParams' : 'ClusteringModelingParams.KMeansParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams' : 'ClusteringModelingParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$SpectralParams' : 'ClusteringModelingParams.SpectralParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$GMMParams' : 'ClusteringModelingParams.GMMParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$MLLibGaussianMixtureParams' : 'ClusteringModelingParams.MLLibGaussianMixtureParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$H2OKMeansModelingParams' : 'ClusteringModelingParams.H2OKMeansModelingParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$VerticaKMeansParams' : 'ClusteringModelingParams.VerticaKMeansParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$MetricParams' : 'ClusteringModelingParams.MetricParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$ClusteringCustomPythonParams' : 'ClusteringModelingParams.ClusteringCustomPythonParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$WardParams' : 'ClusteringModelingParams.WardParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$MLLibKMeansParams' : 'ClusteringModelingParams.MLLibKMeansParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$MiniBatchKMeansParams' : 'ClusteringModelingParams.MiniBatchKMeansParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$IsolationForestParams' : 'ClusteringModelingParams.IsolationForestParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$DBScanParams' : 'ClusteringModelingParams.DBScanParams',\n    'com.dataiku.dip.analysis.model.ClusteringModelingParams$TwoStepParams' : 'ClusteringModelingParams.TwoStepParams',\n    'com.dataiku.dip.eda.compute.computations.univariate.PairwiseMoodTest' : 'PairwiseMoodTest',\n    'com.dataiku.dip.eda.compute.computations.univariate.PairwiseMoodTest$PairwiseMoodTestResult' : 'PairwiseMoodTest.PairwiseMoodTestResult',\n    'com.dataiku.dip.analysis.model.PreprocessingReport$CategoricalEncoding' : 'PreprocessingReport.CategoricalEncoding',\n    'com.dataiku.dip.analysis.model.PreprocessingReport' : 'PreprocessingReport',\n    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'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$Optimizer' : 'DeepHubPreTrainModelingParams.Optimizer',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$TrainableLayers' : 'DeepHubPreTrainModelingParams.TrainableLayers',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams' : 'DeepHubPreTrainModelingParams',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$ObjectDetectionPreTrainModelingParams' : 'DeepHubPreTrainModelingParams.ObjectDetectionPreTrainModelingParams',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$LrScheduler' : 'DeepHubPreTrainModelingParams.LrScheduler',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubPreTrainModelingParams$RotateParams' : 'DeepHubPreTrainModelingParams.RotateParams',\n    'com.dataiku.dip.shaker.ProcessorWithRecordedReport$ProcessorRecordedReport' : 'ProcessorWithRecordedReport.ProcessorRecordedReport',\n    'com.dataiku.dip.analysis.model.core.ResolvedCoreParams' : 'ResolvedCoreParams',\n    'com.dataiku.dip.shaker.model.ScriptStep$MetaType' : 'ScriptStep.MetaType',\n    'com.dataiku.dip.shaker.model.ScriptStep' : 'ScriptStep',\n    'com.dataiku.dip.eda.worksheets.cards.TrivariateCard' : 'TrivariateCard',\n    'com.dataiku.dip.eda.worksheets.cards.UnitRootTestKPSSCard' : 'UnitRootTestKPSSCard',\n    'com.dataiku.dip.eda.worksheets.cards.UnitRootTestKPSSCard$UnitRootTestKPSSCardResult' : 'UnitRootTestKPSSCard.UnitRootTestKPSSCardResult',\n    'com.dataiku.dip.analysis.model.prediction.ActualModelParameters' : 'ActualModelParameters',\n    'com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTest$UnitRootTestResult' : 'UnitRootTest.UnitRootTestResult',\n    'com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTest' : 'UnitRootTest',\n    'com.dataiku.dip.eda.compute.computations.bivariate.Pearson' : 'Pearson',\n    'com.dataiku.dip.eda.compute.computations.bivariate.Pearson$PearsonResult' : 'Pearson.PearsonResult',\n    'com.dataiku.dip.eda.compute.computations.common.GroupedComputation' : 'GroupedComputation',\n    'com.dataiku.dip.eda.compute.computations.common.GroupedComputation$GroupedComputationResult' : 'GroupedComputation.GroupedComputationResult',\n    'com.dataiku.dip.server.services.TaggableObjectsService$TaggableObject' : 'TaggableObjectsService.TaggableObject',\n    'com.dataiku.dip.server.services.TaggableObjectsService$TaggableObjectRef' : 'TaggableObjectsService.TaggableObjectRef',\n    'com.dataiku.dip.server.services.TaggableObjectsService$TaggableListItem' : 'TaggableObjectsService.TaggableListItem',\n    'com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA$UnitRootTestZAResult' : 'UnitRootTestZA.UnitRootTestZAResult',\n    'com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA$RegressionMode' : 'UnitRootTestZA.RegressionMode',\n    'com.dataiku.dip.eda.compute.computations.timeseries.UnitRootTestZA' : 'UnitRootTestZA',\n    'com.dataiku.dip.dashboards.model.Insight' : 'Insight',\n    'com.dataiku.dip.dashboards.model.Insight$InsightListItem' : 'Insight.InsightListItem',\n    'com.dataiku.dip.coremodel.RecipeEnginesPreferenceConfig' : 'RecipeEnginesPreferenceConfig',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf$LearningCurve' : 'PredictionModelIntrinsicPerf.LearningCurve',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf' : 'PredictionModelIntrinsicPerf',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf$GridCell' : 'PredictionModelIntrinsicPerf.GridCell',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf$Coefficients' : 'PredictionModelIntrinsicPerf.Coefficients',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf$VariablesImportance' : 'PredictionModelIntrinsicPerf.VariablesImportance',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelIntrinsicPerf$PartialDependenceData' : 'PredictionModelIntrinsicPerf.PartialDependenceData',\n    'com.dataiku.dip.eda.compute.computations.bivariate.KendallTau$KendallTauResult' : 'KendallTau.KendallTauResult',\n    'com.dataiku.dip.eda.compute.computations.bivariate.KendallTau' : 'KendallTau',\n    'com.dataiku.dip.eda.compute.computations.ComputationResult$ComputationCounts' : 'ComputationResult.ComputationCounts',\n    'com.dataiku.dip.eda.compute.computations.ComputationResult' : 'ComputationResult',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard$MosaicPlotData' : 'MosaicPlotCard.MosaicPlotData',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard' : 'MosaicPlotCard',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.MosaicPlotCard$MosaicPlotCardResult' : 'MosaicPlotCard.MosaicPlotCardResult',\n    'com.dataiku.dip.analysis.ml.clustering.guess.ClusteringGuessPolicy' : 'ClusteringGuessPolicy',\n    'com.dataiku.dip.datasets.StreamableDatasetSelection' : 'StreamableDatasetSelection',\n    'com.dataiku.dip.eda.compute.computations.multivariate.PCA' : 'PCA',\n    'com.dataiku.dip.eda.compute.computations.multivariate.PCA$PCAResult' : 'PCA.PCAResult',\n    'com.dataiku.dip.analysis.model.SplitParams' : 'SplitParams',\n    'com.dataiku.dip.analysis.model.SplitParams$EFDSplit' : 'SplitParams.EFDSplit',\n    'com.dataiku.dip.analysis.model.SplitParams$EFSDSplit' : 'SplitParams.EFSDSplit',\n    'com.dataiku.dip.analysis.model.SplitParams$EFTDSplit' : 'SplitParams.EFTDSplit',\n    'com.dataiku.dip.analysis.model.SplitParams$TrainTestPolicy' : 'SplitParams.TrainTestPolicy',\n    'com.dataiku.dip.analysis.model.SplitParams$SplitMode' : 'SplitParams.SplitMode',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$Sorting' : 'DeephubImagesDataService.Sorting',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$SortBy' : 'DeephubImagesDataService.SortBy',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ObjectDetectionPredictedFilter' : 'DeephubImagesDataService.ObjectDetectionPredictedFilter',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ComputerVisionPredictedFilter' : 'DeephubImagesDataService.ComputerVisionPredictedFilter',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$CategoryType' : 'DeephubImagesDataService.CategoryType',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$ImageClassificationPredictedFilter' : 'DeephubImagesDataService.ImageClassificationPredictedFilter',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$Category' : 'DeephubImagesDataService.Category',\n    'com.dataiku.dip.analysis.ml.prediction.DeephubImagesDataService$DeepHubDesignFilterRequest' : 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'com.dataiku.dip.shaker.model.SerializedShakerScript$ShakerExplorationSampleSettings' : 'SerializedShakerScript.ShakerExplorationSampleSettings',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$TableColoring' : 'SerializedShakerScript.TableColoring',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript' : 'SerializedShakerScript',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$ShakerOrigin' : 'SerializedShakerScript.ShakerOrigin',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$FullSampleStatisticsConfig' : 'SerializedShakerScript.FullSampleStatisticsConfig',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$DisplayedColumnsMode' : 'SerializedShakerScript.DisplayedColumnsMode',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$ChartsEngine' : 'SerializedShakerScript.ChartsEngine',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$AnalysisColumnData' : 'SerializedShakerScript.AnalysisColumnData',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$RefreshableStreamableSelection' : 'SerializedShakerScript.RefreshableStreamableSelection',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$DisplayedColumnsSelection' : 'SerializedShakerScript.DisplayedColumnsSelection',\n    'com.dataiku.dip.shaker.model.SerializedShakerScript$PreviewMode' : 'SerializedShakerScript.PreviewMode',\n    'com.dataiku.dip.eda.compute.grouping.UnionGrouping' : 'UnionGrouping',\n    'com.dataiku.dip.eda.compute.grouping.UnionGrouping$UnionGroupingResult' : 'UnionGrouping.UnionGroupingResult',\n    'com.dataiku.dip.analysis.model.prediction.WeightParams' : 'WeightParams',\n    'com.dataiku.dip.analysis.model.prediction.WeightParams$WeightMethod' : 'WeightParams.WeightMethod',\n    'com.dataiku.dip.util.AnyLoc' : 'AnyLoc',\n    'com.dataiku.dip.eda.worksheets.cards.SignTest1SampCard$SignTest1SampCardResult' : 'SignTest1SampCard.SignTest1SampCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.SignTest1SampCard' : 'SignTest1SampCard',\n    'com.dataiku.dip.shaker.server.SampleMetadata' : 'SampleMetadata',\n    'com.dataiku.dip.eda.worksheets.cards.FitCurveCard$FitCurveCardResult' : 'FitCurveCard.FitCurveCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.FitCurveCard' : 'FitCurveCard',\n    'com.dataiku.dip.analysis.model.core.SavedModelOriginInfo$Origin' : 'SavedModelOriginInfo.Origin',\n    'com.dataiku.dip.analysis.model.core.SavedModelOriginInfo' : 'SavedModelOriginInfo',\n    'com.dataiku.dip.eda.EdaErrorCodes' : 'EdaErrorCodes',\n    'com.dataiku.dip.eda.compute.computations.univariate.SignTest1Samp' : 'SignTest1Samp',\n    'com.dataiku.dip.eda.compute.computations.univariate.SignTest1Samp$SignTest1SampResult' : 'SignTest1Samp.SignTest1SampResult',\n    'com.dataiku.dip.analysis.model.prediction.ResolvedClassicalPredictionPreprocessingParams' : 'ResolvedClassicalPredictionPreprocessingParams',\n    'com.dataiku.dip.shaker.server.SerializedMemTableV2$MeaningResult' : 'SerializedMemTableV2.MeaningResult',\n    'com.dataiku.dip.shaker.server.SerializedMemTableV2$Header$ProgressBarChunk' : 'SerializedMemTableV2.Header.ProgressBarChunk',\n    'com.dataiku.dip.shaker.server.SerializedMemTableV2$Header$ProgressBarType' : 'SerializedMemTableV2.Header.ProgressBarType',\n    'com.dataiku.dip.shaker.server.SerializedMemTableV2$Header' : 'SerializedMemTableV2.Header',\n    'com.dataiku.dip.shaker.server.SerializedMemTableV2' : 'SerializedMemTableV2',\n    'com.dataiku.dip.datasets.DatasetSelection' : 'DatasetSelection',\n    'com.dataiku.dip.datasets.DatasetSelection$PartitionSelectionMethod' : 'DatasetSelection.PartitionSelectionMethod',\n    'com.dataiku.dip.shaker.server.DataService$ShakerRecipeSchemaColumn' : 'DataService.ShakerRecipeSchemaColumn',\n    'com.dataiku.dip.shaker.server.DataService$ShakerRecipeSchema' : 'DataService.ShakerRecipeSchema',\n    'com.dataiku.dip.eda.compute.computations.univariate.Skewness$SkewnessResult' : 'Skewness.SkewnessResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.Skewness' : 'Skewness',\n    'com.dataiku.dip.eda.worksheets.cards.DurbinWatsonCard' : 'DurbinWatsonCard',\n    'com.dataiku.dip.eda.worksheets.cards.DurbinWatsonCard$DurbinWatsonCardResult' : 'DurbinWatsonCard.DurbinWatsonCardResult',\n    'com.dataiku.dip.analysis.model.prediction.CategoricalHyperparameterValue' : 'CategoricalHyperparameterValue',\n    'com.dataiku.dip.eda.compute.computations.univariate.Entropy$EntropyResult' : 'Entropy.EntropyResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.Entropy' : 'Entropy',\n    'com.dataiku.dip.eda.compute.distributions.Normal$FittedNormal' : 'Normal.FittedNormal',\n    'com.dataiku.dip.eda.compute.distributions.Normal' : 'Normal',\n    'com.dataiku.dip.eda.compute.computations.NotComputedResult' : 'NotComputedResult',\n    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'com.dataiku.dip.eda.worksheets.cards.TZTest1SampCard' : 'TZTest1SampCard',\n    'com.dataiku.dip.eda.worksheets.cards.TZTest1SampCard$TZTest1SampCardResult' : 'TZTest1SampCard.TZTest1SampCardResult',\n    'com.dataiku.dip.eda.compute.computations.common.MultiComputation' : 'MultiComputation',\n    'com.dataiku.dip.eda.compute.computations.common.MultiComputation$MultiComputationResult' : 'MultiComputation.MultiComputationResult',\n    'com.dataiku.dip.dataflow.exec.filter.FilterDesc$FilterUiCondition' : 'FilterDesc.FilterUiCondition',\n    'com.dataiku.dip.dataflow.exec.filter.FilterDesc$ExpressionLanguage' : 'FilterDesc.ExpressionLanguage',\n    'com.dataiku.dip.dataflow.exec.filter.FilterDesc' : 'FilterDesc',\n    'com.dataiku.dip.dataflow.exec.filter.FilterDesc$FilterUiData' : 'FilterDesc.FilterUiData',\n    'com.dataiku.dip.eda.worksheets.cards.MannKendallTestCard' : 'MannKendallTestCard',\n    'com.dataiku.dip.eda.worksheets.cards.MannKendallTestCard$MannKendallTestCardResult' : 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 'com.dataiku.dip.coremodel.SerializedDataset' : 'SerializedDataset',\n    'com.dataiku.dip.coremodel.SerializedDataset$RemoteFilesSource' : 'SerializedDataset.RemoteFilesSource',\n    'com.dataiku.dip.coremodel.SerializedDataset$SerializedCheck' : 'SerializedDataset.SerializedCheck',\n    'com.dataiku.dip.coremodel.SerializedDataset$CrossProjectBuildBehaviour' : 'SerializedDataset.CrossProjectBuildBehaviour',\n    'com.dataiku.dip.coremodel.SerializedDataset$RebuildBehavior' : 'SerializedDataset.RebuildBehavior',\n    'com.dataiku.dip.coremodel.SerializedDataset$ReadWriteOptions' : 'SerializedDataset.ReadWriteOptions',\n    'com.dataiku.dip.coremodel.SerializedDataset$RemoteFiles' : 'SerializedDataset.RemoteFiles',\n    'com.dataiku.dip.coremodel.SerializedDataset$FlowOptions' : 'SerializedDataset.FlowOptions',\n    'com.dataiku.dip.analysis.model.prediction.NumericalHyperparameterDimension$Range' : 'NumericalHyperparameterDimension.Range',\n    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'com.dataiku.dip.analysis.model.prediction.CategoricalHyperparameterDimension' : 'CategoricalHyperparameterDimension',\n    'com.dataiku.dip.server.services.ReadOnlyJobsInternalDB$ObjectBuild' : 'ReadOnlyJobsInternalDB.ObjectBuild',\n    'com.dataiku.dip.analysis.model.clustering.ClusteringMLTask$ClusterSampling' : 'ClusteringMLTask.ClusterSampling',\n    'com.dataiku.dip.analysis.model.clustering.ClusteringMLTask' : 'ClusteringMLTask',\n    'com.dataiku.dip.eda.worksheets.cards.KsTest2SampCard$KsTest2SampCardResult' : 'KsTest2SampCard.KsTest2SampCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.KsTest2SampCard' : 'KsTest2SampCard',\n    'com.dataiku.dip.eda.worksheets.cards.common.Series' : 'Series',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams' : 'CatFeaturePreprocessingParams',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$ImpactMethod' : 'CatFeaturePreprocessingParams.ImpactMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$DummyDroppingMethod' : 'CatFeaturePreprocessingParams.DummyDroppingMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$FrequencyDefault' : 'CatFeaturePreprocessingParams.FrequencyDefault',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$MissingHandlingMethod' : 'CatFeaturePreprocessingParams.MissingHandlingMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$CategoryHandlingMethod' : 'CatFeaturePreprocessingParams.CategoryHandlingMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$DummyClippingMethod' : 'CatFeaturePreprocessingParams.DummyClippingMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$OrdinalOrder' : 'CatFeaturePreprocessingParams.OrdinalOrder',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$CatImputationMethod' : 'CatFeaturePreprocessingParams.CatImputationMethod',\n    'com.dataiku.dip.analysis.model.preprocessing.CatFeaturePreprocessingParams$OrdinalDefault' : 'CatFeaturePreprocessingParams.OrdinalDefault',\n    'com.dataiku.dip.eda.compute.filtering.AnumFilter' : 'AnumFilter',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditFolderTile' : 'AppHomepageTile.EditFolderTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$DownloadReportTile' : 'AppHomepageTile.DownloadReportTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$PropagateSchemaTileBehavior' : 'AppHomepageTile.PropagateSchemaTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$DashboardLinkTile' : 'AppHomepageTile.DashboardLinkTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditAnyDatasetTile' : 'AppHomepageTile.EditAnyDatasetTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$GuessTrainDeployTile' : 'AppHomepageTile.GuessTrainDeployTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$AppHomepageTileType' : 'AppHomepageTile.AppHomepageTileType',\n    'com.dataiku.dip.coremodel.AppHomepageTile$DownloadManagedFolderTile' : 'AppHomepageTile.DownloadManagedFolderTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditFSDatasetTile' : 'AppHomepageTile.EditFSDatasetTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$UploadDatasetSetFileTile' : 'AppHomepageTile.UploadDatasetSetFileTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderSetFileTileBehavior' : 'AppHomepageTile.ManagedFolderSetFileTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$PartitionDef' : 'AppHomepageTile.PartitionDef',\n    'com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderSetFileTile' : 'AppHomepageTile.ManagedFolderSetFileTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$DownloadDashboardTile' : 'AppHomepageTile.DownloadDashboardTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditFSDatasetTileBehavior' : 'AppHomepageTile.EditFSDatasetTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$DownloadDatasetTile' : 'AppHomepageTile.DownloadDatasetTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile' : 'AppHomepageTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$VariableDisplayTile' : 'AppHomepageTile.VariableDisplayTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$RunScenarioTile' : 'AppHomepageTile.RunScenarioTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditSQLDatasetTile' : 'AppHomepageTile.EditSQLDatasetTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$UploadDatasetSetFileTileBehavior' : 'AppHomepageTile.UploadDatasetSetFileTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$PropagateSchemaTile' : 'AppHomepageTile.PropagateSchemaTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditAnyStreamingEndpointTile' : 'AppHomepageTile.EditAnyStreamingEndpointTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditInlineDatasetTile' : 'AppHomepageTile.EditInlineDatasetTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$ProjectVariablesTile' : 'AppHomepageTile.ProjectVariablesTile',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditFolderTileBehavior' : 'AppHomepageTile.EditFolderTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$EditSQLDatasetTileBehavior' : 'AppHomepageTile.EditSQLDatasetTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$ProjectVariablesTileBehavior' : 'AppHomepageTile.ProjectVariablesTileBehavior',\n    'com.dataiku.dip.coremodel.AppHomepageTile$ManagedFolderLinkTile' : 'AppHomepageTile.ManagedFolderLinkTile',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$TestDistributionResult' : 'TestDistribution.TestDistributionResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$ProbabilityMassFunction' : 'TestDistribution.ProbabilityMassFunction',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$ProbabilityDensityFunction' : 'TestDistribution.ProbabilityDensityFunction',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$LikelihoodTestsResult' : 'TestDistribution.LikelihoodTestsResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$PlotData' : 'TestDistribution.PlotData',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution' : 'TestDistribution',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$KolmogorovSmirnovTestResult' : 'TestDistribution.KolmogorovSmirnovTestResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$StatTests' : 'TestDistribution.StatTests',\n    'com.dataiku.dip.eda.compute.computations.univariate.TestDistribution$QQPlotData' : 'TestDistribution.QQPlotData',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard' : 'AbstractNSampTestCard',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard$AbstractNSampleTestCardResult' : 'AbstractNSampTestCard.AbstractNSampleTestCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractNSampTestCard$GroupInfo' : 'AbstractNSampTestCard.GroupInfo',\n    'com.dataiku.dip.datasets.DatasetSelectionToMemTable' : 'DatasetSelectionToMemTable',\n    'com.dataiku.dip.eda.compute.computations.bivariate.MutualInformation' : 'MutualInformation',\n    'com.dataiku.dip.eda.compute.computations.bivariate.MutualInformation$MutualInformationResult' : 'MutualInformation.MutualInformationResult',\n    'com.dataiku.dip.coremodel.ExposedObject' : 'ExposedObject',\n    'com.dataiku.dip.coremodel.ExposedObject$Rule' : 'ExposedObject.Rule',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelPerf$GlobalMetrics' : 'PredictionModelPerf.GlobalMetrics',\n    'com.dataiku.dip.analysis.model.prediction.PredictionModelPerf' : 'PredictionModelPerf',\n    'com.dataiku.dip.eda.worksheets.cards.common.ColumnCard$ColumnCardResult' : 'ColumnCard.ColumnCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.common.ColumnCard' : 'ColumnCard',\n    'com.dataiku.dip.eda.compute.distributions.JointNormal' : 'JointNormal',\n    'com.dataiku.dip.eda.compute.distributions.JointNormal$FittedJointNormal' : 'JointNormal.FittedJointNormal',\n    'com.dataiku.dip.analysis.model.clustering.ClustersFacts' : 'ClustersFacts',\n    'com.dataiku.dip.analysis.model.clustering.ClustersFacts$NumericalClusterFact' : 'ClustersFacts.NumericalClusterFact',\n    'com.dataiku.dip.analysis.model.clustering.ClustersFacts$ClusterFact' : 'ClustersFacts.ClusterFact',\n    'com.dataiku.dip.analysis.model.clustering.ClustersFacts$ClusterFacts' : 'ClustersFacts.ClusterFacts',\n    'com.dataiku.dip.analysis.model.clustering.ClustersFacts$CategoricalClusterFact' : 'ClustersFacts.CategoricalClusterFact',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.Abstract2DPivotCard' : 'Abstract2DPivotCard',\n    'com.dataiku.dip.partitioning.ExactValueDimension' : 'ExactValueDimension',\n    'com.dataiku.dip.eda.compute.grouping.AnumGrouping$AnumGroupingResult' : 'AnumGrouping.AnumGroupingResult',\n    'com.dataiku.dip.eda.compute.grouping.AnumGrouping' : 'AnumGrouping',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams' : 'DeepHubMetricParams',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams$EvaluationMetric' : 'DeepHubMetricParams.EvaluationMetric',\n    'com.dataiku.dip.analysis.model.prediction.DeepHubMetricParams$ConfidenceScoreThresholdOptimizationMetric' : 'DeepHubMetricParams.ConfidenceScoreThresholdOptimizationMetric',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractCardContainer' : 'AbstractCardContainer',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractCardContainer$AbstractCardContainerResult' : 'AbstractCardContainer.AbstractCardContainerResult',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHeaderCard$BivariateHeaderCardResult' : 'BivariateHeaderCard.BivariateHeaderCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateHeaderCard' : 'BivariateHeaderCard',\n    'com.dataiku.dip.eda.worksheets.cards.common.Abstract2SampTestCard' : 'Abstract2SampTestCard',\n    'com.dataiku.dip.eda.worksheets.cards.common.Abstract2SampTestCard$Abstract2SampTestCardResult' : 'Abstract2SampTestCard.Abstract2SampTestCardResult',\n    'com.dataiku.dip.eda.compute.distributions.NormalMixture$FittedNormalMixture$Component' : 'NormalMixture.FittedNormalMixture.Component',\n    'com.dataiku.dip.eda.compute.distributions.NormalMixture$FittedNormalMixture' : 'NormalMixture.FittedNormalMixture',\n    'com.dataiku.dip.eda.compute.distributions.NormalMixture' : 'NormalMixture',\n    'com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest' : 'MannKendallTest',\n    'com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest$MannKendallTestResult' : 'MannKendallTest.MannKendallTestResult',\n    'com.dataiku.dip.eda.compute.computations.timeseries.MannKendallTest$Trend' : 'MannKendallTest.Trend',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractHeaderCard$AbstractHeaderCardResult' : 'AbstractHeaderCard.AbstractHeaderCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.common.AbstractHeaderCard' : 'AbstractHeaderCard',\n    'com.dataiku.dip.eda.compute.computations.univariate.StdDev' : 'StdDev',\n    'com.dataiku.dip.eda.compute.computations.univariate.StdDev$StdDevResult' : 'StdDev.StdDevResult',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateFrequencyTableCard' : 'BivariateFrequencyTableCard',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateFrequencyTableCard$BivariateFrequencyTableCardResult' : 'BivariateFrequencyTableCard.BivariateFrequencyTableCardResult',\n    'com.dataiku.dip.eda.compute.computations.FailedResult' : 'FailedResult',\n    'com.dataiku.dip.analysis.model.clustering.PreTrainClusteringModelingParams$Algorithm' : 'PreTrainClusteringModelingParams.Algorithm',\n    'com.dataiku.dip.analysis.model.clustering.PreTrainClusteringModelingParams' : 'PreTrainClusteringModelingParams',\n    'com.dataiku.dip.eda.worksheets.queries.SuggestCards' : 'SuggestCards',\n    'com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestCardsResult' : 'SuggestCards.SuggestCardsResult',\n    'com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestedCard' : 'SuggestCards.SuggestedCard',\n    'com.dataiku.dip.eda.worksheets.queries.SuggestCards$SuggestedVariable' : 'SuggestCards.SuggestedVariable',\n    'com.dataiku.dip.eda.worksheets.queries.SuggestCards$AssistantSettings' : 'SuggestCards.AssistantSettings',\n    'com.dataiku.dip.eda.compute.distributions.LogNormal$FittedLogNormal' : 'LogNormal.FittedLogNormal',\n    'com.dataiku.dip.eda.compute.distributions.LogNormal' : 'LogNormal',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard' : 'BivariateSummaryStatsCard',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard$BivariateSummaryStatsCardResult' : 'BivariateSummaryStatsCard.BivariateSummaryStatsCardResult',\n    'com.dataiku.dip.eda.worksheets.cards.bivariate_header.BivariateSummaryStatsCard$StatsToCompute' : 'BivariateSummaryStatsCard.StatsToCompute',\n    'com.dataiku.dip.eda.compute.computations.univariate.Shapiro$ShapiroResult' : 'Shapiro.ShapiroResult',\n    'com.dataiku.dip.eda.compute.computations.univariate.Shapiro' : 'Shapiro'\n\n};\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/quantiles-table-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/data-evaluation-metrics';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/triangular';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/binary-classification-model-perf';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/resolved-prediction-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/time-ordering-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/worksheets-service';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/top-ntime-grouping';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/cdfplot-card';\nexport * from './src/main/java/com/dataiku/dip/server/usability-computer';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/time-step';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/pcacard';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/clustering-model-details';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/subset-grouping';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/resolved-clustering-core-params';\nexport * from './src/main/java/com/dataiku/dip/server/controllers/streaming-endpoints-controller';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/correlation-matrix-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/spark-constants';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/weibull';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/scatter-plot-card';\nexport * from './src/main/java/com/dataiku/dip/server/services/projects-service';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/and-filter';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/one-way-anova';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/mood-test2-samp-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fit2-ddistribution-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/ensemble-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/models/binning-mode';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/partitioned-model-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/mlspark-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/curves/isotonic-curve';\nexport * from './dss-core/src/main/java/com/dataiku/dip/datasets/type';\nexport * from './src/main/java/com/dataiku/dip/server/datasets/datasets-crudcontroller';\nexport * from './src/main/java/com/dataiku/dip/shaker/model/group-script-step';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/spearman';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/resolved-prediction-core-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/classical-prediction-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/facet/alphanum-like-facet';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/abstract-pairwise-test-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/pre-train-prediction-modeling-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/sem';\nexport * from './src/main/java/com/dataiku/dip/coremodel/checklists';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/assertions/mlassertions-params';\nexport * from './src/main/java/com/dataiku/dip/server/services/itagging-service';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/dashboard-page';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/ztest1-samp';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/parallel-coordinates-plot-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/sampling/data-spec';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/mean';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering-modeling-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/pairwise-mood-test';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing-report';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/missing-value-filter';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/integer-hyperparameter-dimension';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/variance';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/interval-filter';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/summary-card-builder';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/time-series-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/card-result';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/kde2-d';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/distribution2-d';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/ttest2-samp-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fragments/box-plot-fragment';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/model-details-base';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/beta';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/feature-generation-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/models/worksheet';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/multivariate-card';\nexport * from './src/main/java/com/dataiku/dip/coremodel/object-custom-metadata';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/time-series-computation';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/deep-hub-prediction-model-details';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/clustering-model-perf';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/resolved-classical-prediction-core-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/univariate-frequency-table-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/deep-hub-pre-train-modeling-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/processor-with-recorded-report';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/resolved-core-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/model/script-step';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/trivariate-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/unit-root-test-kpsscard';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/actual-model-parameters';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/unit-root-test';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/pearson';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/common/grouped-computation';\nexport * from './src/main/java/com/dataiku/dip/server/services/taggable-objects-service';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/unit-root-test-za';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/insight';\nexport * from './src/main/java/com/dataiku/dip/coremodel/recipe-engines-preference-config';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/prediction-model-intrinsic-perf';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/kendall-tau';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/computation-result';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/mosaic-plot-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/clustering/guess/clustering-guess-policy';\nexport * from './src/main/java/com/dataiku/dip/datasets/streamable-dataset-selection';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/multivariate/pca';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/split-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/prediction/deephub-images-data-service';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/multiclass-model-perf';\nexport * from './src/main/java/com/dataiku/dip/coremodel/zone';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/fit-distribution';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/scatter-plot3-dcard';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/models/split-by-spec';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/resolved-clustering-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fragments/count-complete-fragment';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/common/dummy-computation';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/pacf';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/one-way-anovacard';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/quantiles';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/base-user-meta';\nexport * from './src/main/java/com/dataiku/dip/shaker/model/serialized-shaker-script';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/union-grouping';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/weight-params';\nexport * from './src/main/java/com/dataiku/dip/util/any-loc';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/sign-test1-samp-card';\nexport * from './src/main/java/com/dataiku/dip/shaker/server/sample-metadata';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fit-curve-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/saved-model-origin-info';\nexport * from './src/main/java/com/dataiku/dip/eda/eda-error-codes';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/sign-test1-samp';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/resolved-classical-prediction-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/server/serialized-mem-table-v2';\nexport * from './src/main/java/com/dataiku/dip/datasets/dataset-selection';\nexport * from './src/main/java/com/dataiku/dip/shaker/server/data-service';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/skewness';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/durbin-watson-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/categorical-hyperparameter-value';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/entropy';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/normal';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/not-computed-result';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/deep-hub-prediction-model-perf';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/dashboard';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/bivariate-box-plot-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/max-time';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/correlation-function';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/model-user-meta';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/distribution';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/exponential';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/empirical-cdf';\nexport * from './dss-core/src/main/java/com/dataiku/dip/partitioning/dimension';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/grouping';\nexport * from './src/main/java/com/dataiku/dip/datasets/sampling-param';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/categorical-histogram-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/analysis-core-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/model/processor-script-step';\nexport * from './src/main/java/com/dataiku/dip/coremodel/serialized-project';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/filter';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/pareto';\nexport * from './src/main/java/com/dataiku/dip/coremodel/version-tag';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/prediction-mltask';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/mood-test-nsamp';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fragments/bivariate-frequency-table-fragment';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/unit-root-test-card';\nexport * from './dss-core/src/main/java/com/dataiku/dip/partitioning/time-dimension';\nexport * from './src/main/java/com/dataiku/dip/server/services/navigator-service';\nexport * from './src/main/java/com/dataiku/dip/analysis/coreservices/data-augmentation-service';\nexport * from './dss-core/src/main/java/com/dataiku/dip/coremodel/schema-column';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/common/count-groups';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/prediction-modeling-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/covariance';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/acf';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/tztest1-samp-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/common/multi-computation';\nexport * from './dss-core/src/main/java/com/dataiku/dip/dataflow/exec/filter/filter-desc';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/mann-kendall-test-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/prediction-model-details';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/unit-root-test-zacard';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/bivariate-histogram-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/unit-root-test-kpss';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/kurtosis';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/tile';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/sum';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/stats/pvalue-adjustment-method';\nexport * from './src/main/java/com/dataiku/dip/server/services/dataset-notebook-service';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/prediction-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/models/variable';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/mood-test-nsamp-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/cross-grouping';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/chi2-ind-test-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/grouped-compiled-card-wrapper';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/mldiagnostics';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/univariate-header-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/ks-test2-samp';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/curves/polynomial-curve';\nexport * from './dss-core/src/main/java/com/dataiku/dip/partitioning/partitioning-scheme';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fragments/numerical-histogram-fragment';\nexport * from './src/main/java/com/dataiku/dip/coremodel/checklist';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/available-result';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/grouping-result';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/playground-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/deep-hub-column-format';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/common/count';\nexport * from './src/main/java/com/dataiku/dip/shaker/server/table-coloring-service';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/calibration-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/compatibility-with-reason';\nexport * from './dss-core/src/main/java/com/dataiku/dip/input/dataset-ordering';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/clustering-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/prediction/split/split-desc';\nexport * from './src/main/java/com/dataiku/dip/analysis/ml/prediction/guess/prediction-guess-policy';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/fit-curve';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/unit-root-test-adfcard';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/text-feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/durbin-watson';\nexport * from './src/main/java/com/dataiku/dip/server/controllers/jupyter-controller';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/numerical-histogram-card';\nexport * from './src/main/java/com/dataiku/dip/server/services/explores-service';\nexport * from './src/main/java/com/dataiku/dip/workspaces/workspace';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/shapiro-normality-test-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/ttest1-samp';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/queries/interactive-query';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/binned-grouping';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/computation';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/pairwise-mood-test-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/pairwise-ttest-card';\nexport * from './src/main/java/com/dataiku/dip/coremodel/serialized-recipe';\nexport * from './src/main/java/com/dataiku/dip/shaker/facet/alphanum-facet-with-map';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/train-execution-params';\nexport * from './src/main/java/com/dataiku/dip/shaker/server/serialized-table-chunk';\nexport * from './src/main/java/com/dataiku/dip/shaker/analysis/numerical-variable-analysis';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/merge-grouping';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/curves/curve';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/image-feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/resolved-deep-hub-prediction-core-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/pairwise-ttest';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/metric-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/poisson';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/chi2-ind-test';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/vector-feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/float-hyperparameter-dimension';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/model-train-info';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/heat-map';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/heatmap-params';\nexport * from './src/main/java/com/dataiku/dip/coremodel/serialized-dataset';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/numerical-hyperparameter-dimension';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/unit-root-test-adf';\nexport * from './src/main/java/com/dataiku/dip/server/datasets/dataset-metrics-status-service';\nexport * from './src/main/java/com/dataiku/dip/containers/exec/container-exec-selection';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/max';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/worksheet-root-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/queries/list-most-frequent-values';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/univariate_header/univariate-summary-stats-card';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/ui/enriched-dashboard-page';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/queries/debug-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/laplace';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/num-feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/analysis/coreservices/analysis-crudservice';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/core/resolved-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/binomial';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/min';\nexport * from './src/main/java/com/dataiku/dip/coremodel/head-with-versioning-info';\nexport * from './src/main/java/com/dataiku/dip/server/services/jupyter-service';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fragments/time-info-fragment';\nexport * from './src/main/java/com/dataiku/dip/dashboards/model/tiles-grid';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/all-filter';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/acfplot-card';\nexport * from './src/main/java/com/dataiku/dip/server/controllers/projects-crudcontroller';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/subsampled-grouping';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/min-time';\nexport * from './dss-core/src/main/java/com/dataiku/dip/coremodel/schema';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/fit2-ddistribution';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/unavailable-result';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/not-filter';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/sampling/sample';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/multivariate/fetch-values';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/mltask';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/utils/compacted-array';\nexport * from './src/main/java/com/dataiku/dip/coremodel/app-manifest';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/fit-distribution-card';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/categorical-hyperparameter-dimension';\nexport * from './src/main/java/com/dataiku/dip/server/services/read-only-jobs-internal-db';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/clustering-mltask';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/ks-test2-samp-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/series';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/preprocessing/cat-feature-preprocessing-params';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/filtering/anum-filter';\nexport * from './src/main/java/com/dataiku/dip/coremodel/app-homepage-tile';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/test-distribution';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/abstract-nsamp-test-card';\nexport * from './src/main/java/com/dataiku/dip/datasets/dataset-selection-to-mem-table';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/bivariate/mutual-information';\nexport * from './src/main/java/com/dataiku/dip/coremodel/exposed-object';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/prediction-model-perf';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/column-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/joint-normal';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/clusters-facts';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/abstract2-dpivot-card';\nexport * from './dss-core/src/main/java/com/dataiku/dip/partitioning/exact-value-dimension';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/grouping/anum-grouping';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/prediction/deep-hub-metric-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/abstract-card-container';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/bivariate-header-card';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/abstract2-samp-test-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/normal-mixture';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/timeseries/mann-kendall-test';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/common/abstract-header-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/std-dev';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/bivariate-frequency-table-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/failed-result';\nexport * from './src/main/java/com/dataiku/dip/analysis/model/clustering/pre-train-clustering-modeling-params';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/queries/suggest-cards';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/distributions/log-normal';\nexport * from './src/main/java/com/dataiku/dip/eda/worksheets/cards/bivariate_header/bivariate-summary-stats-card';\nexport * from './src/main/java/com/dataiku/dip/eda/compute/computations/univariate/shapiro';","const CHARS = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789';\n\nexport function randomId(length: number = 7) {\n    return Array.from({ length }, _ => randomChar()).join('');\n}\n\nexport function randomChar() {\n    return CHARS[Math.floor(Math.random() * CHARS.length)];\n}\n","import { realAny } from 'dku-frontend-core';\n\nexport function dkuDeepCopy<T extends (object | any[])>(src: T, filter?: Function): T {\n    if (Array.isArray(src)) {\n        let s = <realAny[]><realAny>src;\n        let arr = [];\n        for (let i = 0; i < s.length; i++) {\n            arr[i] = dkuDeepCopy(s[i], filter);\n        }\n        return <T><realAny>arr;\n    } else if (isObject(src)) {\n        let obj: realAny = {};\n        dkuForEach(src, (value: realAny, key: realAny) => {\n            if (!filter || filter(key)) {\n                obj[key] = dkuDeepCopy(value, filter);\n            }\n        });\n        return obj;\n    } else {\n        let angularJS = (<realAny>window).angular;\n        return angularJS.copy(src);\n    }\n}\n\nexport function dkuEquals(one: realAny, two: realAny): boolean {\n    let angularJS = (<realAny>window).angular;\n    return angularJS.equals(one, two);\n}\n\n// Mostly used to migrate previous uses of angular.forEach\nexport function dkuForEach(input: object | realAny[], iter: (value: realAny, key: any) => void) {\n    let angularJS = (<realAny>window).angular;\n    return angularJS.forEach(input, iter);\n}\n\nexport function isObject(value: realAny) {\n    return value !== null && typeof value === 'object';\n}\n\nexport function isFunction(value: realAny) {\n    return typeof value === 'function';\n}\n\nexport function isString(value: realAny) {\n    return typeof value === 'string';\n}\n\nexport function dkuExtend(dst: object, o1: object, ...others: object[]) {\n    let angularJS = (<realAny>window).angular;\n    return angularJS.extend(dst, o1, ...others);\n}\n\nexport function mapValues<T>(object: realAny, func: (...args: any[]) => T) {\n    return Object.values(object).map(func);\n}\n\n\nexport function isDefined(object: realAny): boolean {\n    return object !== null && object !== undefined;\n}\n","import { isObject } from '@utils/objects';\nimport { DataikuAPIService } from './dataiku-api.service';\nimport { throwError, Observable, EMPTY } from 'rxjs';\nimport { upgradePromise, EnrichedPromise } from './utils/enriched-promise';\nimport { catchError } from 'rxjs/operators';\nimport { SerializedError } from 'dku-frontend-core';\n\nexport interface RawAPIError {\n    httpCode: number;\n    code?: string;\n    message: string;\n    details?: string;\n    errorType: string;\n}\n\nexport interface EnhancedSerializedError extends SerializedError {\n    httpCode: number;\n}\n\nexport type APIError = RawAPIError | EnhancedSerializedError;\n\nexport function isSerializedError(toTest: any): toTest is SerializedError { \n    return isObject(toTest) &&\n        'errorType' in toTest &&\n        'code' in toTest &&\n        'stackTrace' in toTest;\n}\n\nexport function isEnhancedSerializedError(toTest: APIError): toTest is EnhancedSerializedError { \n    return isSerializedError(toTest) &&\n        'httpCode' in toTest;\n}\n\nexport function isRawAPIError(toTest: any): toTest is RawAPIError {\n    return isObject(toTest) &&\n        'httpCode' in toTest &&\n        'errorType' in toTest;\n}\n\nexport function isAPIError(toTest: any): toTest is APIError {\n    return isEnhancedSerializedError(toTest) || isRawAPIError(toTest);\n}\n\nexport function getErrorDetails(data: any, status: any, headers: any, statusText: string) : APIError {\n    /* Network / HTTP error */\n    if (data == null && status == -1) {\n        return {\n            httpCode: status,\n            message: \"Network error: \" + (statusText === undefined ? \"\" : statusText),\n            errorType: \"XHRNetworkError\"\n        };\n    }\n    if (status == 413) {\n        return {\n            httpCode: status,\n            message: data && data.message || 'No message',\n            details: data && data.details || 'No details',\n            errorType: \"HTTPError413\"\n        };\n    }\n\n    if (data && data.$customMessage) {\n        return {\n            httpCode: status,\n            code: \"0\",\n            message: data.message || \"Unknown error\",\n            details: data.details,\n            errorType: data.errorType || \"unknown\"\n        };\n    }\n\n    const ctype = headers(\"Content-type\");\n    if (ctype && ctype.startsWith(\"application/json\") && data && data.errorType) {\n        return {\n            ...data,\n            httpCode: status\n        };\n    } else {\n        let errorType = \"unknown\";\n        if (status == 502) {\n            errorType = \"Gateway error\";\n        }\n        return {\n            httpCode: status,\n            code: \"0\",\n            message: 'Unknown error',\n            details: data && data.details || 'No details',\n            errorType: errorType\n        };\n    }\n}\n\nexport interface ErrorContext { pushError(error: APIError): void; }\n\nfunction catchAPIErrorFailureAction(errorContext: ErrorContext, rethrowCaught: boolean, err: any) {\n    if (isAPIError(err)) {\n        errorContext.pushError(err);\n        if (rethrowCaught) {\n            return throwError(err);\n        } else {\n            return EMPTY;\n        }\n    } else {\n        return throwError(err);\n    }\n}\n\nexport function catchAPIError<T>(errorContext: ErrorContext, rethrowCaught: boolean = false) {\n    return catchError<T, Observable<T>>(err => catchAPIErrorFailureAction(errorContext, rethrowCaught, err));\n}\n\nexport function upgradePromiseCatchError<T>(promise: EnrichedPromise<T>): Promise<T> {\n    return upgradePromise(promise).catch(\n        error => {\n            const errorDetails: APIError = getErrorDetails(error.data, error.status, error.headers, error.statusText);\n            throw errorDetails;\n        }\n    );\n}\n\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'capitalize'\n})\nexport class CapitalizePipe implements PipeTransform {\n\n    transform(input: string): string {\n        if (input && input.length > 0) {\n            return input.charAt(0).toUpperCase() + input.slice(1);\n        } else {\n            return '';\n        }\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'formatModality'\n})\nexport class FormatModalityPipe implements PipeTransform {\n    transform(values: string[], quoteValues: boolean = false): string {\n        if (!values) {\n            return '';\n        }\n\n        if (quoteValues) {\n            values = values.map(value => `\"${value}\"`);\n        }\n\n        if (1 === values.length) {\n            return values[0];\n        }\n        return `(${values.join(', ')})`;\n    }\n}","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'plurify'\n})\nexport class PlurifyPipe implements PipeTransform {\n\n    transform(singular: string, num: number, plural?: string): any {\n        plural = typeof(plural) !== 'undefined' ? plural : singular + 's';\n        return num == 1 ? singular : plural; // in english zero uses plural mode (crazy guys)\n    }\n\n}\n","import { CapitalizePipe } from '@shared/pipes/capitalize.pipe';\nimport { FormatModalityPipe } from '@shared/pipes/list-pipes/format-modality.pipe';\nimport { PlurifyPipe } from '@shared/pipes/text-pipes/plurify.pipe';\nimport { randomId } from '@utils/random';\nimport { assertNever } from 'dku-frontend-core';\nimport deepEqual from 'fast-deep-equal';\nimport produce from 'immer';\nimport _ from 'lodash';\nimport { Card, CardResult, CDFPlotCard, Filter, isAbstract2SampTestCard, isAbstractCardContainer, isAbstractHeaderCard, isAbstractNSampTestCard, isAllFilter, isAndFilter, isBivariateCard, isCDFPlotCard, isChi2IndTestCard, isColumnCard, isCorrelationMatrixCard, isDurbinWatsonCard, isFit2DDistributionCard, isFitCurveCard, isFitDistributionCard, isMannKendallTestCard, isMultivariateCard, isParallelCoordinatesPlotCard, isPCACard, isPlaygroundCard, isScatterPlot3DCard, isScatterPlotCard, isShapiroNormalityTestCard, isSignTest1SampCard, isTimeSeriesCard, isTrivariateCard, isTZTest1SampCard, isUnitRootTestADFCard, isUnitRootTestCard, isUnitRootTestKPSSCard, isUnitRootTestZACard, isUnivariateCard, isWorksheetRootCard, ParallelCoordinatesPlotCard, PCACard, ScatterPlot3DCard, ScatterPlotCard, TimeSeriesCard, Variable, Worksheet } from 'src/generated-sources';\nimport { CardWizardVariable } from './card-models';\n\nconst formatModality = new FormatModalityPipe().transform;\nconst plurify = new PlurifyPipe().transform;\nconst capitalize = new CapitalizePipe().transform;\n\n// Short title (without any config-related wordings)\nexport function getBasicCardTitle(card: Card): string {\n    switch (card.type) {\n        case 'bivariate_box_plot':\n            return 'Box Plot';\n        case 'bivariate_frequency_table':\n            return 'Frequency table';\n        case 'bivariate_header':\n            return 'Bivariate analysis';\n        case 'bivariate_histogram':\n            return 'Histogram';\n        case 'bivariate_summary':\n            return 'Summary';\n        case 'categorical_histogram':\n            return 'Histogram';\n        case 'chi2_independence_test':\n            return 'Chi-square independence test';\n        case 'column_card':\n            return 'variable';\n        case 'correlation_matrix':\n            return 'Correlation matrix';\n        case 'fit_2d_distribution':\n            return 'Fit 2D distribution';\n        case 'fit_curve':\n            return 'Fit curve';\n        case 'fit_distribution':\n            return 'Fit distribution';\n        case 'ks_test_2samp':\n            return 'Two-sample Kolmogorov–Smirnov test';\n        case 'mood_nsamp':\n            return 'N-sample Mood test';\n        case 'mood_test_2samp':\n            return 'Two-sample Mood test';\n        case 'mosaic_plot':\n            return 'Mosaic plot';\n        case 'numerical_histogram':\n            return card.showHistogram ? 'Histogram' : 'Box Plot';\n        case 'oneway_anova':\n            return 'One-way ANOVA';\n        case 'pairwise_mood':\n            return 'Pairwise Mood test';\n        case 'pairwise_ttest':\n            return 'Pairwise 𝘵-test';\n        case 'pca':\n            return 'PCA';\n        case 'quantile_table':\n            return 'Quantile table';\n        case 'scatter_plot':\n            return 'Scatter plot';\n        case 'shapiro':\n            return 'Shapiro-Wilk normality test';\n        case 'sign_test_1samp':\n            return 'Sign test';\n        case 'ttest_ztest_1samp':\n            return card.knownStdDev == null ? 'Student 𝘵-test' : 'Z-test';\n        case 'ttest_2samp':\n            return 'Two-sample 𝘵-test';\n        case 'univariate_frequency_table':\n            return 'Frequency table';\n        case 'univariate_header':\n            return 'Univariate analysis';\n        case 'univariate_summary':\n            return 'Summary stats';\n        case 'worksheet_root':\n            return 'Worksheet';\n        case 'scatter_plot_3d':\n            return \"Scatter plot 3D\";\n        case 'cdf_plot':\n            return \"Cumulative distribution function\";\n        case 'parallel_coordinates_plot':\n            return \"Parallel coordinates plot\";\n        case 'unit_root_test_adf':\n            return \"Augmented Dickey-Fuller test\";\n        case 'unit_root_test_za':\n            return \"Zivot-Andrews test\";\n        case 'unit_root_test_kpss':\n            return \"Kwiatkowski-Phillips-Schmidt-Shin test\";\n        case 'durbin_watson':\n            return \"Durbin-Watson statistic\";\n        case 'mann_kendall_test':\n            return \"Mann-Kendall trend test\";\n        case 'acf_plot':\n            if (card.isPartial) {\n                return \"Partial auto-correlation function\";\n            }\n            return \"Auto-correlation function\";\n        case 'playground':\n            return \"Debugger\";\n    }\n}\n\n// Menu title in action menus\nexport function getConfigureCardTitle(card: Card): string {\n    if (isAbstract2SampTestCard(card)\n        || isAbstractNSampTestCard(card)\n        || isShapiroNormalityTestCard(card)\n        || isTZTest1SampCard(card)\n        || isChi2IndTestCard(card)\n        || isSignTest1SampCard(card)\n        || isUnitRootTestCard(card)\n        || isMannKendallTestCard(card)\n    ) {\n        return 'Configure test…';\n    }\n    if (isFit2DDistributionCard(card)) {\n        return 'Configure distribution…';\n    }\n    if (isFitDistributionCard(card)) {\n        return 'Configure distributions…';\n    }\n    if (isFitCurveCard(card)) {\n        return 'Configure curves…';\n    }\n    if (isPCACard(card)) {\n        return 'Configure PCA…';\n    }\n    if (isDurbinWatsonCard(card)) {\n        return 'Configure Durbin-Watson…';\n    }\n    return 'Configure ' + getBasicCardTitle(card).toLowerCase() + '…';\n}\n\n// Full title (with config-related wordings)\nexport function getFullCardTitle(card: Card): string {\n    let ret = getBasicCardTitle(card);\n\n    if (!getCardSubtitle(card)) {\n        if (isAbstractHeaderCard(card)) {\n            ret += ` on ${card.xColumns.length} ${plurify('variable', card.xColumns.length)} `;\n        } else if (isMultivariateCard(card)) {\n            ret += ` on ${card.columns.length} ${plurify('variable', card.columns.length)} `;\n        } else if (isUnivariateCard(card)) {\n            ret += ` on ${card.column.name} `;\n        } else if (isBivariateCard(card)) {\n            ret += ` on ${card.xColumn.name} & ${card.yColumn.name} `;\n        }\n    }\n\n    if (isTimeSeriesCard(card)) {\n        ret += ` on ${getSeriesDefinition(card)}`;\n    }\n\n    if (isCorrelationMatrixCard(card)) {\n        ret += ' (' + capitalize(card.metric!.toLowerCase()) + ')';\n    }\n\n    if (isCorrelationMatrixCard(card) && card.heatmapParams.filterVariablesWithoutValues) {\n        ret += ' (hiding variables with no value)';\n    }\n\n    return ret;\n}\n\n\n// Sub-title (additional config-related wordings when they are not present in the full title)\nexport function getCardSubtitle(card: Card): string {\n    if (isAbstract2SampTestCard(card)) {\n        let testTarget;\n        switch (card.type) {\n            case 'ks_test_2samp':\n                testTarget = 'distribution';\n                break;\n            case 'mood_test_2samp':\n                testTarget = 'median';\n                break;\n            case 'ttest_2samp':\n                testTarget = 'mean';\n                break;\n            default:\n                assertNever(card);\n        }\n\n        if (card.value1 == null && card.value2 == null) {\n            return `Compare ${testTarget} of ${card.xColumn.name} `\n            + `for the two most common values `\n            + `from ${card.yColumn.name}`;\n        }\n\n        return `Compare ${testTarget} of ${card.xColumn.name} `\n            + `for ${formatModality(card.value1!, true)} and ${formatModality(card.value2!, true)} `\n            + `from ${card.yColumn.name}`;\n    }\n\n    if (isAbstractNSampTestCard(card)) {\n        let testTarget;\n        switch (card.type) {\n            case 'oneway_anova':\n            case 'pairwise_ttest':\n                testTarget = 'mean';\n                break;\n            case 'pairwise_mood':\n            case 'mood_nsamp':\n                testTarget = 'median';\n                break;\n            default:\n                assertNever(card);\n        }\n\n        if (card.yValues) {\n            return `Compare ${testTarget} of ${card.xColumn.name} `\n                + `for ${formatModality(card.yValues, true)} of ${card.yColumn.name}`;\n        } else {\n            return `Compare ${testTarget} of ${card.xColumn.name} `\n                + `for each ${card.yColumn.name}`;\n        }\n    }\n\n    if (isTimeSeriesCard(card)) {\n        if (isUnitRootTestADFCard(card)) {\n            return `Test whether ${card.seriesColumn.name} has a unit root`;\n        }\n\n        if (isUnitRootTestZACard(card)) {\n            return `Test whether ${card.seriesColumn.name} has a unit root with one structural break`;\n        }\n\n        if (isUnitRootTestKPSSCard(card)) {\n            return `Test whether ${card.seriesColumn.name} is stationary`;\n        }\n\n        if (isMannKendallTestCard(card)) {\n            return `Test whether ${card.seriesColumn.name} has a monotonic trend`;\n        }\n    }\n\n    return '';\n}\n\n/**\n * Produces a user-friendlier filter selecting the same subset of data\n *\n * Filters produced by combining other filters can be dumb. Example:\n * - Histogram card on \"Sex\" + split by \"Survived\"\n * - User clicks on \"Sex: Male\" bar within the \"All\" group\n * => The combined filter is AndFilter(AnumFilter('Sex','Male'), AllFilter())\n * => The simplified filter is just AnumFilter('Sex','Male')\n */\nfunction simplifyFilter(filter: Filter): Filter {\n    if (isAndFilter(filter)) {\n        const innerFilters = [];\n        for (const innerFilter of filter.filters) {\n            const simplifiedInnerFilter = simplifyFilter(innerFilter);\n            if (isAndFilter(simplifiedInnerFilter)) {\n                for (const innerOfSimplified of simplifiedInnerFilter.filters) {\n                    innerFilters.push(innerOfSimplified);\n                }\n            } else {\n                innerFilters.push(simplifiedInnerFilter);\n            }\n        }\n\n        const dedupedFilters = [];\n        outer: for (const innerFilter of innerFilters) {\n            for (const dedupedFilter of dedupedFilters) {\n                if (deepEqual(dedupedFilter, innerFilter)) {\n                    continue outer;\n                }\n            }\n            if (!isAllFilter(innerFilter)) {\n                dedupedFilters.push(innerFilter);\n            }\n        }\n\n        if (dedupedFilters.length === 0) {\n            return { type: 'all' };\n        } else if (dedupedFilters.length === 1) {\n            return dedupedFilters[0];\n        } else {\n            return { type: 'and', filters: dedupedFilters }\n        }\n    }\n    return filter;\n}\n\n/**\n * Return a simplified filter, or null if the filter doesn't filter anything\n */\nexport function noFilterIfAll(filter?: Filter | null): Filter | null {\n    if (!filter) {\n        return null;\n    }\n    filter = simplifyFilter(filter);\n    if (filter.type === 'all') {\n        return null;\n    }\n    return filter;\n}\n\nexport function getNumberOfColumns(card: Card): number {\n    if (isAbstractHeaderCard(card)) {\n        return card.xColumns.length;\n    } else if (isMultivariateCard(card)) {\n        return card.columns.length;\n    } else if (isUnivariateCard(card)) {\n        return 1;\n    } else if (isBivariateCard(card)) {\n        return 2;\n    } else if (isTimeSeriesCard(card)) {\n        return 2;\n    } else if (isTrivariateCard(card)) {\n        return 3;\n    } else if (isWorksheetRootCard(card) || isColumnCard(card)) {\n        return 0;\n    } else if (isPlaygroundCard(card)) {\n        return 0;\n    }\n\n    return assertNever(card);\n}\n\nexport const MAX_HEADER_COLUMNS = 100;\n\nexport const CANNOT_ADD_REASON = {\n    MAX_VARIABLES_EXCEEDED: `Number of variables cannot exceed ${MAX_HEADER_COLUMNS}.`,\n    NO_VARIABLE_SELECTED: 'No variables are selected.',\n    NOT_EXACTLY_ONE: `Exactly 1 variable must be selected.`\n};\n\n\nexport function isFullyComputed(result: CardResult) {\n    if (result.type === 'unavailable') {\n        return result.reason !== CardResult.UnavailabilityReason.NOT_COMPUTED;\n    }\n    return !(result.computationCount > 0 && result.notComputedCount > 0);\n}\n\n// Set all the card IDs to `null` (recursively).\n// Useful for comparing cards using deep equality.\nexport function clearCardIds<T extends Card>(card: T): T {\n    if (isAbstractCardContainer(card)) {\n        card = {\n            ...card,\n            cards: card.cards.map(subCard => clearCardIds(subCard))\n        };\n    }\n    return { ...card, id: null };\n}\n\n// Re-generate new card IDs (recursively)\nexport function resetCardIds<T extends Card>(card: T): T {\n    if (isAbstractCardContainer(card)) {\n        card = {\n            ...card,\n            cards: card.cards.map(subCard => resetCardIds(subCard))\n        };\n    }\n    return { ...card, id: randomId() };\n}\n\n// WT1 tracking purpose\nexport function getWorksheetStats(worksheet: Worksheet) {\n    const sample = {\n        ..._.pick(worksheet.dataSpec.datasetSelection, [\n            'samplingMethod',\n            'maxRecords',\n            'targetRatio',\n        ]),\n        hasFilter: worksheet.dataSpec.datasetSelection.filter.enabled,\n    };\n\n    const cards = (worksheet.rootCard?.cards ?? []).map(card => ({\n        type: card.type,\n        split: card.splitBy != null,\n        nbColumns: getNumberOfColumns(card),\n    }));\n\n    return {\n        sample,\n        cards: JSON.stringify(cards),\n    };\n}\n\nexport function identicalVariableNames(a: Variable, b: Variable) {\n    return a.name === b.name;\n}\n\n\nexport function unselectVariables(vars: CardWizardVariable[]): CardWizardVariable[] {\n    return produce(vars, draft => {\n        draft.map(v => {\n            if (Object.keys(v)) {\n                v.selected = false;\n            }\n            return v;\n        })\n    });\n}\n\nexport function unselectVariable(variable: CardWizardVariable): CardWizardVariable {\n    return produce(variable, draft => {\n        if (Object.keys(draft).length) {\n            draft.selected = false;\n        }\n    });\n}\n\nexport function enableVariables(vars: CardWizardVariable[]): CardWizardVariable[] {\n    return produce(vars, draft => {\n        draft.map(v => {\n            if (Object.keys(v)) {\n                v.disabled = false;\n            }\n            return v;\n        });\n    });\n}\n\ntype CardWithColorBy =\n    CDFPlotCard |\n    PCACard |\n    ParallelCoordinatesPlotCard |\n    ScatterPlot3DCard |\n    ScatterPlotCard;\n\nexport function acceptsColoring(card: Card): card is CardWithColorBy {\n    return isPCACard(card)\n        || isParallelCoordinatesPlotCard(card)\n        || isCDFPlotCard(card)\n        || isScatterPlot3DCard(card)\n        || isScatterPlotCard(card);\n}\n\nexport function getSeriesDefinition(card: TimeSeriesCard, includeTimeColumn: boolean = true): string {\n    const identifiers = card.seriesIdentifiers\n        .map(it => `${it.column.name}=${it.value}`);\n\n    if (includeTimeColumn) {\n        return identifiers.length > 0 ?\n            `${card.seriesColumn.name} (${identifiers.join(', ')}, through ${card.timeColumn.name})` :\n            `${card.seriesColumn.name} (through ${card.timeColumn.name})`;\n    }\n\n    return identifiers.length > 0 ?\n        `${card.seriesColumn.name} (${identifiers.join(', ')})` :\n        `${card.seriesColumn.name}`;\n}\n","import { TaggableObjectsService } from '@model-main/server/services/taggable-objects-service';\nimport { Card, Insight, isAbstractCardContainer, ITaggingService, Worksheet } from 'src/generated-sources';\n\nexport function getWorksheetObjectRef(ws: Worksheet): TaggableObjectsService.TaggableObjectRef {\n    return { id: ws.id!, projectKey: ws.projectKey, type: ITaggingService.TaggableType.STATISTICS_WORKSHEET };\n}\n\nexport function getInsightObjectRef(insight: Insight): TaggableObjectsService.TaggableObjectRef {\n    return { id: insight.id!, projectKey: insight.projectKey, type: ITaggingService.TaggableType.INSIGHT };\n}\n\nexport function hasConfidenceLevel(params: Card): params is Card & {\n    showConfidenceInterval: boolean,\n    confidenceLevel: number\n} {\n    return ('confidenceLevel' in params) && ('showConfidenceInterval' in params);\n}\n\nexport function clearHighlightFilter(params: Card): Card {\n    if (isAbstractCardContainer(params)) {\n        params = {\n            ...params,\n            cards: params.cards.map(subParams => clearHighlightFilter(subParams))\n        };\n    }\n    if ('highlightFilter' in params) {\n        params = { ...params, highlightFilter: null };\n    }\n    return params;\n}\n\n","import { DatasetSelection, BinningMode } from 'src/generated-sources';\n\nexport const DEFAULT_TAGGABLE_OBJECT_FIELDS = {\n    checklists: { checklists: [] },\n    customFields: {},\n    tags: []\n};\n\nexport const DEFAULT_DATASET_SELECTION_FIELDS = {\n    filter: { enabled: false, distinct: false },\n    ordering: { enabled: false, rules: [] },\n    maxRecords: -1,\n    targetRatio: 0.02,\n    latestPartitionsN: 1,\n    partitionSelectionMethod: DatasetSelection.PartitionSelectionMethod.ALL,\n    maxReadUncompressedBytes: -1,\n    withinFirstN: -1\n};\n\n\nexport const DEFAULT_SPLIT_BY_SPEC = {\n    groupWithAll: true,\n    groupWithOthers: true,\n    maxValues: 5,\n    binningMode: BinningMode.AUTO,\n    customBinningBoundaries: []\n};\n","import { AnyLoc } from 'src/generated-sources';\n\n\nexport function resolveSmartName(contextProjectKey: string, datasetSmartName: string): AnyLoc {\n    const chunks = datasetSmartName.split('.');\n    if (chunks.length === 1) {\n        return { projectKey: contextProjectKey, id: chunks[0] };\n    } else if (chunks.length === 2) {\n        return { projectKey: chunks[0], id: chunks[1] };\n    }\n\n    throw new Error('Invalid smart name: ' + datasetSmartName);\n}\n\n// A.B (A) -> B\n// A.B (C) -> A.B\n// B (A) -> A.B\nexport function normalizeSmartName(contextProjectKey: string, datasetSmartName: string): string {\n    const loc = resolveSmartName(contextProjectKey, datasetSmartName);\n    return toSmartName(contextProjectKey, loc);\n}\n\nfunction toSmartName(contextProjectKey: string, datasetLoc: AnyLoc): string {\n    if (contextProjectKey === datasetLoc.projectKey) {\n        return datasetLoc.id;\n    } else {\n        return `${datasetLoc.projectKey}.${datasetLoc.id}`;\n    }\n}","import { Injectable, Inject } from '@angular/core';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { DataSpec, SamplingParam, WorksheetRootCard, Worksheet, WorksheetsService, ContainerExecSelection } from 'src/generated-sources';\nimport { Observable, BehaviorSubject, Subject, EMPTY, ReplaySubject, of } from 'rxjs';\nimport { randomId } from '@utils/random';\nimport { catchAPIError, ErrorContext, APIError } from '@core/dataiku-api/api-error';\nimport { fairAny } from 'dku-frontend-core';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { first, switchMap, distinctUntilChanged, map, startWith, shareReplay, mapTo, filter } from 'rxjs/operators';\nimport { resetCardIds } from './card-utils';\nimport { getWorksheetObjectRef } from './utils';\nimport { DEFAULT_DATASET_SELECTION_FIELDS, DEFAULT_TAGGABLE_OBJECT_FIELDS } from '@utils/dss-defaults';\nimport { normalizeSmartName, resolveSmartName } from '@utils/loc';\n\n@UntilDestroy()\n@Injectable()\nexport class EdaService implements ErrorContext {\n    // Worksheet loc\n    private worksheetLoc$ = new ReplaySubject<{\n        projectKey: string,\n        datasetSmartName: string,\n        worksheetId?: string\n    }>(1);\n\n    // Force-refresh the list of worksheets\n    private refreshListTrigger$ = new Subject<void>();\n\n    // List of worksheets for the current dataset, or undefined if list not (yet) available\n    private worksheetsIfAvailable$: Observable<WorksheetsService.WorksheetHead[] | undefined> =\n        this.worksheetLoc$.pipe(\n            switchMap(worksheetLoc => this.refreshListTrigger$.pipe(mapTo(worksheetLoc), startWith(worksheetLoc))),\n            switchMap(worksheetLoc =>\n                this.DataikuAPI.statistics.list(worksheetLoc.projectKey, worksheetLoc.datasetSmartName)\n                    .pipe(catchAPIError(this), startWith(undefined))\n            ),\n            untilDestroyed(this),\n            shareReplay(1)\n        );\n\n    private error$ = new BehaviorSubject<APIError | undefined>(undefined);\n\n    constructor(\n        private currentRoute: CurrentRouteService,\n        private DataikuAPI: DataikuAPIService,\n        @Inject('$state') private $state: fairAny,\n        @Inject('StringUtils') private StringUtils: fairAny,\n        @Inject('localStorageService') private localStorageService: fairAny\n    ) {\n        this.worksheetLoc$.pipe(\n            filter(worksheetLoc => !worksheetLoc.worksheetId),\n            switchMap(worksheetLoc => {\n                return this.DataikuAPI.statistics\n                    .list(worksheetLoc.projectKey, worksheetLoc.datasetSmartName)\n                    .pipe(catchAPIError(this), map(worksheets => ({ worksheetLoc, worksheets })))\n            }),\n            untilDestroyed(this)\n        ).subscribe(({ worksheetLoc, worksheets }) => {\n            const projectKey = worksheetLoc.projectKey;\n            const datasetName = worksheetLoc.datasetSmartName;\n\n            // Pick lastest worksheet\n            let worksheetId = this.localStorageService.get(this.worksheetLocalStorageKey(projectKey, datasetName)) || undefined;\n\n            // Ignore it if it does not exist anymore\n            if (worksheetId && !worksheets.map(ws => ws.id).includes(worksheetId)) {\n                worksheetId = undefined;\n            }\n            // Pick first worksheet if there is one\n            if (!worksheetId && worksheets.length > 0) {\n                worksheetId = worksheets[0].id;\n            }\n\n            // Goto worksheet (empty placeholder page)\n            this.changeWorksheetId(worksheetId);\n        });\n    }\n\n    setWorksheetLoc(projectKey: string, datasetSmartName: string, worksheetId: string | undefined) {\n        this.worksheetLoc$.next({ projectKey, datasetSmartName, worksheetId });\n    }\n\n    listWorksheets(): Observable<WorksheetsService.WorksheetHead[] | undefined> {\n        return this.worksheetsIfAvailable$;\n    }\n\n    pushError(error?: APIError) {\n        this.error$.next(error);\n    }\n\n    getError(): Observable<APIError | undefined> {\n        return this.error$.pipe(distinctUntilChanged());\n    }\n\n    worksheetLocalStorageKey(projectKey: string, datasetName: string): string {\n        return `${projectKey}.${datasetName}.currentWorksheet`;\n    }\n\n    computeNewStateForId(id: string | null | undefined): string {\n        // four states are used:\n        // projects.project.{datasets|foreigndatasets}.dataset.statistics(.worksheet)?\n        // so, we always remove the final .worksheet and add it as needed\n        const baseStateName = this.$state.current.name.replace(/\\.worksheet$/, '');\n        return id ? baseStateName + '.worksheet' : baseStateName;\n    }\n\n    changeWorksheetId(worksheetId: string | undefined) {\n        const projectKey: string = this.currentRoute.projectKey;\n        const datasetName: string = this.currentRoute.datasetName;\n        const storageKey = this.worksheetLocalStorageKey(projectKey, datasetName);\n        if (worksheetId) {\n            this.localStorageService.set(storageKey, worksheetId);\n        } else {\n            this.localStorageService.remove(storageKey);\n        }\n\n        this.$state.go(this.computeNewStateForId(worksheetId),\n            { projectKey, datasetName, worksheetId }, { location: true });\n    }\n\n    private createWorksheet(\n        projectKey = this.currentRoute.projectKey,\n        datasetSmartName = this.currentRoute.datasetName,\n        rootCard?: WorksheetRootCard,\n        name?: string,\n    ) {\n        return this.worksheetsIfAvailable$.pipe(\n            first(),\n            switchMap(worksheets => {\n                if (!worksheets) {\n                    return EMPTY;\n                }\n                name = this.StringUtils.transmogrify(name || 'Worksheet', worksheets.map(\n                    ws => ws.name\n                ));\n\n                const dataSpec: DataSpec = {\n                    inputDatasetSmartName: normalizeSmartName(projectKey, datasetSmartName),\n                    // based on settings ?\n                    autoRefreshSample: true,\n                    refreshTrigger: 0,\n                    datasetSelection: {\n                        ...DEFAULT_DATASET_SELECTION_FIELDS,\n                        samplingMethod: SamplingParam.SamplingMethod.HEAD_SEQUENTIAL,\n                        maxRecords: 100000\n                    },\n                    containerSelection: {\n                        containerMode: ContainerExecSelection.ContainerExecMode.INHERIT\n                    }\n                };\n\n                if (!rootCard) {\n                    rootCard = {\n                        id: randomId(),\n                        type: 'worksheet_root',\n                        cards: [],\n                        confidenceLevel: 0.95,\n                        showConfidenceInterval: false\n                    };\n                }\n\n                const worksheet: Worksheet = {\n                    ...DEFAULT_TAGGABLE_OBJECT_FIELDS,\n                    projectKey,\n                    dataSpec,\n                    rootCard,\n                    name: name!\n                };\n\n                return this.DataikuAPI.statistics.save(worksheet)\n                    .pipe(catchAPIError(this));\n            })\n        );\n    }\n\n    getDatasetFullInfo() {\n        return this.worksheetLoc$.pipe(\n            switchMap(({ projectKey, datasetSmartName }) => {\n                const datasetLoc = resolveSmartName(projectKey, datasetSmartName);\n                return this.DataikuAPI.datasets.getFullInfo(projectKey, datasetLoc.projectKey, datasetLoc.id)\n            }));\n    }\n\n    newWorksheet() {\n        this.createWorksheet().pipe(untilDestroyed(this)).subscribe(worksheet => {\n            if (worksheet) {\n                const worksheetId = worksheet.id;\n\n                if (worksheetId) {\n                    this.changeWorksheetId(worksheetId);\n                }\n            }\n        });\n    }\n\n    // do we need to replace ids for each card?\n    duplicateWorksheet(\n        projectKey: string,\n        datasetSmartName: string,\n        rootCard: WorksheetRootCard,\n        name: string\n    ) {\n        this.createWorksheet(projectKey, datasetSmartName, resetCardIds(rootCard), name)\n            .pipe(untilDestroyed(this)).subscribe(worksheet => {\n                this.$state.go(this.computeNewStateForId(worksheet.id), {\n                    projectKey,\n                    datasetName: datasetSmartName,\n                    worksheetId: worksheet.id\n                });\n            });\n    }\n\n    deleteWorksheet(worksheet: Worksheet) {\n        this.DataikuAPI.taggableObjects.delete([getWorksheetObjectRef(worksheet)], worksheet.projectKey)\n            .pipe(catchAPIError(this), untilDestroyed(this))\n            .subscribe(() => this.changeWorksheetId(undefined));\n    }\n}\n","<p *ngIf=\"!$root.appConfig.admin && serializedError.fixability == 'THIRD_PARTY_SYSTEM_CONNECTION'\">\n    This error is typically <strong>caused by a connection issue between {{wl.productShortName}} and another system</strong>. Your {{wl.productShortName}} administrator needs to intervene to fix the issue. <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n\n <p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'THIRD_PARTY_SYSTEM_CONNECTION'\">\n    This error is typically <strong>caused by a connection issue between {{wl.productShortName}} and another system</strong>. You need to check the connection settings and the health of the third-party system\n</p>\n\n\n<p *ngIf=\"!$root.appConfig.admin  && serializedError.fixability == 'ADMIN_SETTINGS_CONNECTIONS'\">\n    This error is typically <strong>caused by a configuration issue in a connection</strong> (in the administration settings). Your {{wl.productShortName}} administrator needs to intervene to fix the issue. <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n<p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_SETTINGS_CONNECTIONS'\">\n    This error is typically <strong>caused by a configuration issue in a connection</strong> (in the administration settings). You need to check the connection settings\n</p>\n\n<p *ngIf=\"!$root.appConfig.admin  && serializedError.fixability == 'ADMIN_SETTINGS_SECURITY'\">\n    This error is typically <strong>caused by a configuration issue in global security settings</strong> (in the administration settings). Your {{wl.productShortName}} administrator needs to intervene to fix the issue. <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n<p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_SETTINGS_SECURITY'\">\n    This error is typically <strong>caused by a configuration issue in global security settings</strong> (in the administration settings). You need to check the connection settings\n</p>\n\n<p *ngIf=\"!$root.appConfig.admin  && serializedError.fixability == 'ADMIN_SETTINGS_CONTAINERS'\">\n    This error is typically <strong>caused by a configuration issue in a container configuration</strong> (in the administration settings). Your {{wl.productShortName}} administrator needs to intervene to fix the issue. <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n<p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_SETTINGS_CONTAINERS'\">\n    This error is typically <strong>caused by a configuration issue in a container configuration</strong> (in the administration settings). You need to check the container configurations\n</p>\n\n<p *ngIf=\"!$root.appConfig.admin  && serializedError.fixability == 'ADMIN_SETTINGS_CODEENVS'\">\n    This error is typically <strong>caused by a configuration issue in a code env</strong> (in the administration settings). Your {{wl.productShortName}} administrator or the owner of the code env needs to intervene to fix the issue. <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n\n<p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_SETTINGS_CODEENVS'\">\n    This error is typically <strong>caused by a configuration issue in a code env</strong> (in the administration settings). You need to check the code env settings\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'ADMIN_SETTINGS_USER_PROFILE'\">\n    This error typically <strong>requires configuration from your {{wl.productShortName}} administrator</strong>. Your {{wl.productShortName}} administrator needs to change your user profile.\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'USER_CONFIG_DATASET'\">\n    This error is typically <strong>caused by a configuration issue in the dataset settings</strong>. You need to modify the affected dataset settings to fix the issue\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'USER_CONFIG'\">\n    This error is typically <strong>caused by a configuration issue</strong>. You need to modify the affected settings to fix the issue\n</p>\n\n<div *ngIf=\"serializedError.fixability == 'USER_CONFIG_OR_BUILD'\">\n    <p style=\"margin-bottom: 0\">This error is typically caused by either:</p>\n    <ul>\n        <li><strong>A dataset configuration issue</strong>. You need to modify the affected settings to fix the issue</li>\n        <li><strong>The dataset needs to be (re)built</strong> (if it is a target in the Flow).</li>\n        <li><strong>Concurrent resampling</strong>. Another user might have set different sampling settings while your worksheet was being computed.</li>\n    </ul>\n</div>\n\n<p *ngIf=\"serializedError.fixability == 'READ_FUTURE_LOG'\">\n    Please read the logs for more information on this error\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'DATA'\">\n    This error is typically <strong>caused by a problem in your data</strong> (i.e. data is invalid). If this data was created by {{wl.productShortName}}, you may need to <strong>rebuild it</strong>.\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'ADMIN_SETTINGS_MISSING_PLUGIN'\">\n    This error is caused by a missing plugin. Please install it or remove elements that use it.\n</p>\n\n<p *ngIf=\"serializedError.fixability == 'MISSING_APP'\">\n    This error is caused by a missing Dataiku App. Please install it or remove elements that use it.\n</p>\n\n<p *ngIf=\"!$root.appConfig.admin && serializedError.fixability == 'ADMIN_INSTALLATION'\">\n    This error is typically <strong>caused by a {{wl.productShortName}} installation issue</strong>. Your administrator needs to intervene to fix the issue.  <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n\n <p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_INSTALLATION'\">\n    This error is typically <strong>caused by a {{wl.productShortName}} installation issue</strong>.\n</p>\n\n\n<p *ngIf=\"!$root.appConfig.admin && serializedError.fixability == 'ADMIN_TROUBLESHOOTING'\">\n    This error typically <strong>requires troubleshooting from your {{wl.productShortName}} administrator</strong>. Your {{wl.productShortName}} administrator needs to intervene to fix the issue.  <a *ngIf=\"$root.appConfig.studioAdminContact\" (click)=\"$root.showAdminContactInfo()\">How to contact your administrator?</a>\n</p>\n\n <p *ngIf=\"$root.appConfig.admin && serializedError.fixability == 'ADMIN_TROUBLESHOOTING'\">\n    This error typically <strong>requires troubleshooting</strong>. Please refer to the below documentation for more information or contact Dataiku support.\n</p>\n","import { SerializedError } from 'dku-frontend-core';\nimport { Input, Component, Inject } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\n\n@Component({\n    selector: 'error-fixability',\n    templateUrl: './error-fixability.component.html',\n    styleUrls: ['./error-fixability.component.less']\n})\nexport class ErrorFixability {\n    @Input() serializedError: SerializedError;\n\n    constructor(@Inject('$rootScope') public $root: fairAny) {\n\n    }\n\n    get wl(): fairAny {\n        return this.$root.wl;\n    }\n}\n","<pre class=\"smart-log-tail-content\">\n    <span *ngFor=\"let line of smartLogTail.lines; let i = index;\"\n        ng-class=\"{'text-error':  smartLogTail.status[i] == TAIL_STATUS.ERROR, 'text-warning': smartLogTail.status[i] == TAIL_STATUS.WARNING, 'text-success': smartLogTail.status[i] == TAIL_STATUS.SUCCESS}\">\n        {{line}}\n    </span>\n</pre>\n","import { Input, Component } from '@angular/core';\nimport { SmartLogTail } from 'dku-frontend-core';\n\n@Component({\n    selector: 'smart-log-tail',\n    templateUrl: './smart-log-tail.component.html',\n    styleUrls: ['./smart-log-tail.component.less']\n})\nexport class SmartLogTailComponent {\n    @Input() smartLogTail: SmartLogTail;\n\n}\n","<ng-container *ngIf=\"apiError | async as apiErrorAlert\">\n    <div *ngIf=\"apiErrorAlert.errorType\" class=\"alert alert-error api-error-alert qa_generic_api-error\">\n        <div *ngIf=\"closable\" class=\"actions pull-right\"><a (click)=\"reset()\" style=\"text-decoration: none\" class=\"qa_generic_api-reset-error\"><i><span style=\"font-size:1.3em; vertical-align: top\">&times;</span></i></a></div>\n        <div *ngIf=\"errorFoldable\" class=\"actions pull-right\">\n            <a (click)=\"open = !open\">\n                <i class=\"{{open ? 'icon-chevron-up' : 'icon-chevron-down'}}\"></i>\n            </a>\n        </div>\n\n        <div class=\"api-error-alert__contents\" *ngIf=\"!open && apiErrorAlert.code\">\n            <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;{{apiErrorAlert.title}}</h4>\n        </div>\n\n        <div class=\"api-error-alert__contents\" *ngIf=\"!open && !apiErrorAlert.code\">\n            <h4>Error occurred</h4>\n        </div>\n\n        <div class=\"api-error-alert__contents\" *ngIf=\"open\">\n            <div *ngIf=\"apiErrorAlert.code; else noncoded\">\n                <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;{{apiErrorAlert.title}}</h4>\n                <h5 class=\"api-error-alert__subtitle summary-of-error\">\n                    <span *ngIf=\"apiErrorAlert.detailedMessageHTML\" [innerHtml]=\"apiErrorAlert.detailedMessageHTML\"></span>\n                    <span *ngIf=\"!apiErrorAlert.detailedMessageHTML\">{{detailedMessageOrMessage}}</span>\n                </h5>\n\n                <div style=\"display: flex; flex-direction: row; align-items: center\">\n                    <div class=\"noflex\" style=\"flex-basis: 75%; padding-right: 25px\">\n                        <error-fixability [serializedError]=\"apiErrorAlert\"></error-fixability>\n                    </div>\n                    <div class=\"noflex\" style=\"flex-basis: 25%;\">\n                        <p style=\"font-weight: 500; text-align: center; margin: 0\">\n                            <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"{{$root.versionDocRoot}}troubleshooting/errors/{{apiErrorAlert.code}}.html\">\n                                More information on this error in {{$root.wl.productShortName || 'DSS'}} documentation\n                            </a>\n                        </p>\n                    </div>\n                </div>\n\n                <p style=\"margin-bottom: 0\"><span class=\"tech-details\">Additional technical details: \n                    <span *ngIf=\"apiErrorAlert.httpCode > 0\">HTTP code: {{apiErrorAlert.httpCode}},</span>\n                    <span>Code: {{apiErrorAlert.code}}, </span>\n                    <span>type: {{apiErrorAlert.errorType}}</span>\n                    </span>\n                </p>\n            </div>\n            <ng-template #noncoded>\n                <div *ngIf=\"apiErrorAlert.httpCode == 502\">\n                    <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Could not connect to {{$root.wl.productShortName || 'DSS'}} server</h4>\n                    <h5>Please ask your administrator to check if the {{$root.wl.productShortName || 'DSS'}} server backend is running.</h5>\n                    <p class=\"api-error-alert__description\">{{detailedMessageOrMessage}}<br />\n                    <span class=\"tech-details\">HTTP code: {{apiErrorAlert.httpCode}}, type: {{apiErrorAlert.errorType}}</span></p>\n                </div>\n\n                <div [ngSwitch]=\"apiErrorAlert.errorType\" *ngIf=\"apiErrorAlert.httpCode != 502\">\n                    <div *ngSwitchCase=\"'XHRNetworkError'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Network error</h4>\n                        <h5 class=\"api-error-alert__subtitle\">\n                            An attempt to communicate with {{$root.wl.productShortName || 'DSS'}} failed. Please check your network connectivity.\n                        </h5>\n                        <p>{{detailedMessageOrMessage}}</p>\n                    </div>\n                    <div *ngSwitchCase=\"'HTTPError413'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Request too large</h4>\n                        <h5 class=\"api-error-alert__subtitle\">\n                            The network request was rejected because it was too large. This is probably caused by a proxy between your browser and {{$root.wl.productShortName || 'DSS'}} that rejects too large uploads. Please contact your network administrator.\n                        </h5>\n                        <span class=\"tech-details\">HTTP code: {{apiErrorAlert.httpCode}} - Response body: {{detailedMessageOrMessage}}</span>\n                    </div>\n                    \n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.DSSIllegalArgumentException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;An internal error occurred</h4>\n                        <h5 *ngIf=\"$root.appConfig.admin\">\n                            Please report this issue to {{$root.wl.productLongName}} Support\n                        </h5>\n                        <h5 *ngIf=\"!$root.appConfig.admin\">\n                            Please ask your {{$root.wl.productShortName}} administrator to report this issue to {{$root.wl.productLongName}} Support\n                        </h5>\n                        <p style=\"margin-bottom: 0\">Technical details follow:</p>\n                        <ul style=\"margin-bottom: 0\">\n                            <li>{{detailedMessageOrMessage}}</li>\n                            <li>HTTP code: {{apiErrorAlert.httpCode}}, type: {{apiErrorAlert.errorType}}</li>\n                        </ul>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.DSSInternalErrorException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;An internal error occurred</h4>\n                        <h5 *ngIf=\"$root.appConfig.admin\">\n                            Please report this issue to {{$root.wl.productLongName}} Support\n                        </h5>\n                        <h5 *ngIf=\"!$root.appConfig.admin\">\n                            Please ask your {{$root.wl.productShortName}} administrator to report this issue to {{$root.wl.productLongName}} Support\n                        </h5>\n                        <p style=\"margin-bottom: 0\">Technical details follow:</p>\n                        <ul style=\"margin-bottom: 0\">\n                            <li>{{detailedMessageOrMessage}}</li>\n                            <li>HTTP code: {{apiErrorAlert.httpCode}}, type: {{apiErrorAlert.errorType}}</li>\n                        </ul>\n                    </div>\n\n                    <div *ngSwitchCase=\"'java.lang.IllegalArgumentException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Invalid argument</h4>\n                        <h5 class=\"api-error-alert__subtitle\">An invalid argument has been encountered : {{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.UnauthorizedException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Not authorized</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.DataStoreIOException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>{{apiErrorAlert.message}}</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{apiErrorAlert.detailedMessage}}</h5>\n                        <span class=\"tech-details\">HTTP code: {{apiErrorAlert.httpCode}}, type: {{apiErrorAlert.errorType}}</span>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.IllegalConfigurationException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Configuration issue</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{apiErrorAlert.detailedMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.server.services.licensing.LicenseEnforcementService$LicenseLimitException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Limit reached !</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.server.services.licensing.LicenseEnforcementService$LicenseFeatureException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Unavailable feature</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.pivot.UnsupportedOperation'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Unsupported operation</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'ApplicativeException'\">\n                        <h4 *ngIf=\"apiErrorAlert.title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;{{apiErrorAlert.title}}</h4>\n                        <h5 *ngIf=\"detailedMessageOrMessage\" style=\"margin-bottom: 0; word-break: break-word;\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'ExpectedException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;An error occurred</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'java.lang.SecurityException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Access denied</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'SecurityException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Access denied</h4>\n                        <h5 class=\"api-error-alert__subtitle\">{{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'java.util.zip.ZipException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Zip error</h4>\n                        <h5 class=\"api-error-alert__subtitle\">There is a problem with the zip file : {{detailedMessageOrMessage}}</h5>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.shaker.SampleBuilder$SampleBuildException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Could not build data sample</h4>\n                        <p class=\"api-error-alert__description\">{{detailedMessageOrMessage}}<br />\n                        <span class=\"tech-details\">Type: {{apiErrorAlert.errorType}}</span></p>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.io.CustomPythonKernelException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Python plugin code failed</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br />\n                        <smart-log-tail logTail=\"apiErrorAlert.logTail\"></smart-log-tail>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.ExternalProcessFailedException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;External process failed</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br />\n                            <smart-log-tail logTail=\"apiErrorAlert.logTail\"></smart-log-tail>\n                        </p>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.io.SocketBlockLinkIOException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>\n                            &nbsp;Communication to external code failed</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br />\n                            <smart-log-tail logTail=\"apiErrorAlert.logTail\"></smart-log-tail>\n                        </p>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.io.SocketBlockLinkKernelException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;External code failed</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br />\n                            <smart-log-tail logTail=\"apiErrorAlert.logTail\"></smart-log-tail>\n                        </p>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.server.controllers.NotFoundException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Not found</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br />\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.scheduler.runnables.DSSRunnableKernelException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Macro code failed</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br /></p>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.exceptions.SourceDatasetNotReadyException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;{{detailedMessageOrMessage}}</h4>\n                    </div>\n                    <div *ngSwitchCase=\"'com.dataiku.dip.datasets.fs.HTTPSourceException'\">\n                        <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Source responded with HTTP error</h4>\n                        <p class=\"api-error-alert__description\">{{apiErrorAlert.message}}<br /></p>\n                    </div>\n\n                    <div *ngSwitchDefault>\n                        <div *ngIf=\"canBeUnexpected\">\n                            <h4 class=\"api-error-alert__title\"><i class=\"icon-dku-error api-error-alert__icon\"></i>&nbsp;Oops: an unexpected error occurred</h4>\n                            <h5 class=\"api-error-alert__subtitle\">\n                                <span *ngIf=\"!apiErrorAlert.detailedMessageHTML\" [innerHtml]=\"apiErrorAlert.detailedMessageHTML\"></span>\n                                <span *ngIf=\"apiErrorAlert.detailedMessageHTML\">{{detailedMessageOrMessage}}</span>\n                            </h5>\n\n                            <p class=\"api-error-alert__description\">\n                                Please see our <a ng-click=\"$root.showHelpModal();\">options for getting help</a>\n                            </p>\n                            <span class=\"tech-details\">HTTP code: {{apiErrorAlert.httpCode}}, type: {{apiErrorAlert.errorType}}</span>\n                        </div>\n\n                        <!-- Default formatting -->\n                        <div *ngIf=\"!canBeUnexpected\">\n                            <h4>{{detailedMessageOrMessage}}</h4>\n                            <span class=\"tech-details\">\n                                <span *ngIf=\"apiErrorAlert.httpCode > 0\">HTTP code: {{apiErrorAlert.httpCode}},</span>\n                                Type: {{apiErrorAlert.errorType}}</span>\n                        </div>\n                    </div>\n                </div>\n            </ng-template>\n        </div>\n    </div>\n</ng-container>\n","import { Component, OnDestroy, Inject, Input, ChangeDetectionStrategy, NgZone, EventEmitter, Output } from '@angular/core';\nimport { APIError, isEnhancedSerializedError } from '@core/dataiku-api/api-error';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { Observable } from 'rxjs';\nimport { fairAny } from 'dku-frontend-core';\nimport { ObservableInput } from 'observable-input';\n\n@Component({\n    selector: 'api-error-alert',\n    templateUrl: './api-error-alert.component.html',\n    styleUrls: ['./api-error-alert.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class APIErrorAlertComponent implements OnDestroy {\n    @Input() canBeUnexpected: boolean = true;\n    @Input() closable: boolean = true;\n    @Input() errorFoldable: boolean = false;\n    @Input() @ObservableInput() apiError: Observable<APIError | null>;\n    @Output() resetError = new EventEmitter<any>();\n\n    open: boolean = true;\n    detailedMessageOrMessage: string | null = null; // we use a snapshot to avoid a lot of async subscriptions\n\n    constructor(@Inject('$rootScope') public $root: fairAny,\n        private ngZone: NgZone) {\n        this.apiError.subscribe(\n            error => {\n                this.ngZone.run(() =>{\n                if (!error) {\n                    this.detailedMessageOrMessage = null;\n                    return;\n                }\n                if ('detailedMessage' in error) {\n                    this.detailedMessageOrMessage = error.detailedMessage;\n                } else {\n                    this.detailedMessageOrMessage = error.message;\n                }\n            });\n        });\n    }\n\n    ngOnDestroy(): void {\n    }\n\n    reset(): void {\n        this.resetError.emit();\n    }\n\n}\n","import { Card, Filter } from 'src/generated-sources';\n\nexport enum CardActionType {\n    DELETE,\n    UPDATE,\n    ADD,\n    DEBUG,\n    PUBLISH,\n    HIGHLIGHT,\n    REORDER_HEADER_CARD\n}\n\nexport interface UpdateCardAction {\n    type: CardActionType.UPDATE;\n    newParams: Card;\n    updateSiblings?: boolean;\n    immediate?: boolean;\n}\n\nexport interface DeleteCardAction {\n    type: CardActionType.DELETE;\n}\n\nexport interface AddCardAction {\n    type: CardActionType.ADD;\n    card: Card;\n}\n\nexport interface HighlightAction {\n    type: CardActionType.HIGHLIGHT;\n    filter?: Filter | null;\n}\n\nexport interface DebugCardAction {\n    type: CardActionType.DEBUG;\n    card: Card;\n}\n\nexport interface PublishCardAction {\n    type: CardActionType.PUBLISH;\n    card: Card;\n}\n\nexport interface ReorderColumnsAction {\n    type: CardActionType.REORDER_HEADER_CARD;\n    cardId: string;\n    previousIndex: number;\n    currentIndex: number;\n}\n\nexport type CardAction = DeleteCardAction | UpdateCardAction | AddCardAction | DebugCardAction\n    | PublishCardAction | ReorderColumnsAction | HighlightAction;\n","export enum AnalysisType {\n    UNIVARIATE_HEADER = 'univariate_header',\n    BIVARIATE_HEADER = 'bivariate_header',\n    UNIVARIATE_CARD = 'univariate_card',\n    BIVARIATE_CARD = 'bivariate_card',\n    TRIVARIATE_CARD = 'trivariate_card',\n    MULTIVARIATE_CARD = 'multivariate_card',\n    TIME_SERIES_CARD = 'time_series_card',\n}\n\nexport type Analysis = 'univariate_header' | 'bivariate_header' | 'univariate_card' | 'bivariate_card' | 'trivariate_card' | 'multivariate_card';","import { Observable, defer } from 'rxjs';\nimport { Variable, Sample, InteractiveQuery } from 'src/generated-sources';\nimport { Injectable } from '@angular/core';\nimport { switchMap, first } from 'rxjs/operators';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { FutureWatcherService, filterNonNull, Filter } from 'dku-frontend-core';\n\n@Injectable()\nexport abstract class SampleContextService {\n    constructor(protected DataikuAPI: DataikuAPIService, protected futureWatcherService: FutureWatcherService) {\n    }\n\n    abstract availableVariables(): Observable<Variable[]>;\n    abstract getSample(): Observable<Sample | undefined>;\n    abstract forceLoadSample(): void;\n\n    runInteractiveQuery<T extends InteractiveQuery>(query: T) {\n        return defer(() => {\n            this.forceLoadSample();\n            return this.getSample().pipe(\n                filterNonNull(),\n                first(),\n                switchMap(sample => this.DataikuAPI.statistics.runInteractiveQuery(query, sample.id).pipe(\n                    this.futureWatcherService.waitForResult()\n                ))\n            )\n        });\n    }\n}\n","/*\n    Service that manages the state of the new/edit analysis window\n*/\nimport { Injectable } from '@angular/core';\nimport { Card, Variable, CorrelationMatrixCard, PValueAdjustmentMethod, UnitRootTestADF, UnitRootTestZA, UnitRootTestKPSS, PACF } from 'src/generated-sources';\nimport { map } from 'rxjs/operators';\nimport { AnalysisType } from './enums';\nimport { randomId } from '@utils/random';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { SampleContextService } from '@features/eda/sample-context.service';\n\ninterface AvailableVariableOptions {\n    isTestVariable?: boolean;\n    isSeriesVariable?: boolean;\n    isTimeVariable?: boolean;\n}\n\n@Injectable()\nexport class CardWizardService {\n    constructor(\n        private sampleContextService: SampleContextService\n    ) {}\n\n    private mapVariables(variables: Variable[], type: string, options?: AvailableVariableOptions): CardWizardVariable[] {\n        return variables.map((variable: Variable) => ({\n            ...variable,\n            disabled: this.isVariableDisabled(variable, type, options)\n        })).sort((a, b) => (+a.disabled - +b.disabled));\n    }\n\n    availableVariables(type: string, options?: AvailableVariableOptions) {\n        return this.sampleContextService.availableVariables().pipe(\n            map(variables => this.mapVariables(variables, type, options))\n        );\n    }\n\n    private isVariableDisabled(variable: Variable, type: string, options?: AvailableVariableOptions) {\n        const analysisType = this.getAnalysisType(type);\n\n        switch (analysisType) {\n            case AnalysisType.UNIVARIATE_CARD:\n            case AnalysisType.MULTIVARIATE_CARD:\n                return variable.type !== Variable.Type.CONTINUOUS;\n            case AnalysisType.BIVARIATE_CARD:\n                if (type === 'chi2_independence_test') {\n                    return variable.type !== Variable.Type.CATEGORICAL;\n                } else if (type === 'fit_2d_distribution' || type === 'fit_curve') {\n                    return variable.type !== Variable.Type.CONTINUOUS;\n                } else {\n                    if (options && options.isTestVariable) {\n                        return variable.type !== Variable.Type.CONTINUOUS;\n                    }\n                }\n                break;\n            case AnalysisType.TRIVARIATE_CARD:\n                if (type === 'scatter_plot_3d') {\n                    return variable.type !== Variable.Type.CONTINUOUS;\n                }\n                break;\n            case AnalysisType.TIME_SERIES_CARD:\n                if (options?.isSeriesVariable) {\n                    return variable.type !== Variable.Type.CONTINUOUS;\n                }\n\n                if (options?.isTimeVariable) {\n                    return variable.type !== Variable.Type.CATEGORICAL;\n                }\n                break;\n        }\n\n        return false;\n    }\n\n    getAnalysisType(type: string) {\n        switch (type) {\n            case 'univariate_header':\n                return AnalysisType.UNIVARIATE_HEADER;\n            case 'bivariate_header':\n                return AnalysisType.BIVARIATE_HEADER;\n            case 'scatter_plot_3d':\n                return AnalysisType.TRIVARIATE_CARD;\n            case 'parallel_coordinates_plot':\n            case 'pca':\n            case 'correlation_matrix':\n                return AnalysisType.MULTIVARIATE_CARD;\n            case 'fit_2d_distribution':\n            case 'fit_curve':\n            case 'mood_test_2samp':\n            case 'mood_nsamp':\n            case 'ks_test_2samp':\n            case 'ttest_2samp':\n            case 'oneway_anova':\n            case 'chi2_independence_test':\n            case 'pairwise_mood':\n            case 'pairwise_ttest':\n                return AnalysisType.BIVARIATE_CARD;\n            case 'fit_distribution':\n            case 'shapiro':\n            case 'sign_test_1samp':\n            case 'ttest_ztest_1samp':\n                return AnalysisType.UNIVARIATE_CARD;\n            case 'unit_root_test_adf':\n            case 'unit_root_test_za':\n            case 'unit_root_test_kpss':\n            case 'mann_kendall_test':\n            case 'durbin_watson':\n            case 'acf_plot':\n                return AnalysisType.TIME_SERIES_CARD;\n            default:\n                return '';\n        }\n    }\n\n    getCardDefault(type: string) {\n        const analysisType = this.getAnalysisType(type);\n        const analysisDefault = this.getAnalysisDefault(analysisType);\n        let card = {\n            type,\n            ...analysisDefault,\n            id: randomId()\n        };\n        let defaultOptions = {};\n\n        switch (type) {\n            case 'univariate_header':\n                defaultOptions = {\n                    showBoxPlot: true,\n                    showFrequencyTable: true,\n                    showHistogram: true,\n                    showQuantile: true,\n                    showSummary: true,\n                    showCumulativeDistributionFunction: false,\n                };\n                break;\n            case 'bivariate_header':\n                defaultOptions = {\n                    showBoxPlot: true,\n                    showFrequencyTable: true,\n                    showHistogram: true,\n                    showMosaicPlot: true,\n                    showScatterPlot: true,\n                    showSummary: true\n                };\n                break;\n            case 'correlation_matrix':\n                defaultOptions = {\n                    metric: CorrelationMatrixCard.CorrelationMetric.SPEARMAN,\n                    heatmapParams: {\n                        showValues: true,\n                        showColors: true,\n                        showAbsValues: false,\n                        threshold: 0\n                    }\n                };\n                break;\n            case 'fit_distribution':\n                defaultOptions = {\n                    distributions: [{\n                        distribution: {\n                            type: 'normal'\n                        }\n                    }]\n                };\n                break;\n            case 'fit_2d_distribution':\n                defaultOptions = {\n                    distribution: {\n                        type: 'kde_2d'\n                    },\n                    xResolution: 640,\n                    yResolution: 480\n                };\n                break;\n            case 'fit_curve':\n                // look for option with id named 'type'\n                defaultOptions = {\n                    curves: [{\n                        type: 'polynomial',\n                        degree: 2\n                    }]\n                };\n                break;\n            case 'pca':\n                defaultOptions = {\n                    heatmapParams: {\n                        showValues: true,\n                        showColors: true,\n                        showAbsValues: false,\n                        threshold: 0\n                    },\n                    showScatterPlot: true,\n                    showLoadingPlot: true,\n                    showScreePlot: true,\n                    showComponents: true\n                };\n                break;\n            case 'scatter_plot_3d':\n                defaultOptions = {\n                    symbolSize: 4,\n                    maxNumberOfPoints: 100_000,\n                };\n                break;\n            case 'pairwise_mood':\n            case 'pairwise_ttest':\n                defaultOptions = {\n                    adjustmentMethod: PValueAdjustmentMethod.NONE,\n                    maxGroups: 10\n                };\n                break;\n            case 'mood_nsamp':\n            case 'oneway_anova':\n                defaultOptions = {\n                    maxGroups: 10\n                };\n                break;\n            case 'chi2_independence_test':\n                defaultOptions = {\n                    maxValuesX: 5,\n                    maxValuesY: 5\n                };\n                break;\n            case 'parallel_coordinates_plot':\n                defaultOptions = {\n                    maxNumberOfPoints: 10_000,\n                };\n                break;\n            case 'ks_test_2samp':\n            case 'mood_test_2samp':\n            case 'ttest_2samp':\n                defaultOptions = {\n                    // Setting a non null value for these fields will select\n                    // the manual mode for defining the populations by default.\n                    value1: [],\n                    value2: [],\n                }\n                break;\n            case 'shapiro':\n            case 'sign_test_1samp':\n            case 'ttest_ztest_1samp':\n                break;\n            case 'unit_root_test_adf':\n                defaultOptions = {\n                    regressionMode: UnitRootTestADF.RegressionMode.CONSTANT_ONLY,\n                };\n                break;\n            case 'unit_root_test_za':\n                defaultOptions = {\n                    regressionMode: UnitRootTestZA.RegressionMode.CONSTANT_ONLY,\n                };\n                break;\n            case 'unit_root_test_kpss':\n                defaultOptions = {\n                    regressionMode: UnitRootTestKPSS.RegressionMode.CONSTANT,\n                };\n                break;\n            case 'acf_plot':\n                defaultOptions = {\n                    showSummary: true,\n                    adjusted: false,\n                    pacfMethod: PACF.Method.LEVINSON_DURBIN,\n                };\n                break;\n        }\n\n        card = {\n            ...card,\n            ...defaultOptions\n        };\n\n        return card;\n    }\n\n    getAnalysisDefault(analysisType: string): Partial<Card> {\n        switch (analysisType) {\n            case AnalysisType.UNIVARIATE_HEADER:\n            case AnalysisType.BIVARIATE_HEADER:\n                return {\n                    xColumns: [],\n                };\n            case AnalysisType.MULTIVARIATE_CARD:\n                return {\n                    columns: []\n                };\n        }\n\n        return {};\n    }\n}\n","\n<div class=\"modal modal--analysis\" [qa]=\"'eda-wizard-modal'\">\n    <modal-header [title]=\"title\" [icon]=\"state === WizardState.ANALYSIS ? '' : 'icon-arrow-left'\" (iconAction)=\"goToPreviousState(state)\" [hasBorder]=\"false\"></modal-header>\n    <div class=\"modal-body flex modal-body--analysis no-padding\" [ngClass]=\"{'modal-body--test': state === WizardState.TEST }\">\n        <ng-container [ngSwitch]=\"state\">\n            <ng-container *ngSwitchCase=\"WizardState.VARIABLES\">\n                <card-editor\n                    [params]=\"params\"\n                    (paramsChange)=\"changeParams($event)\"\n                    (validityChange)=\"changeValidity($event)\"\n                    (validityTooltipChange)=\"changeValidityTooltip($event)\"\n                ></card-editor>\n            </ng-container>\n\n            <ng-container *ngSwitchCase=\"WizardState.ANALYSIS\">\n                <div class=\"new-card card-wizard__body--wide\">\n                    <h4 class=\"analysis-header\">\n                        Automated selection\n                    </h4>\n\n                    <a class=\"new-card-type type-discover\" (click)=\"goToState(WizardState.AUTOMAGIC)\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'assistant'}}\">\n                        <div class=\"new-card-type__body\">\n                            <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-suggest.png\">\n                            <h5 class=\"new-card-type__title\">Automatically suggest analyses</h5>\n                            <p class=\"new-card-type__description\">\n                                Explore the dataset and perform analyses on variables of interest.\n                            </p>\n                        </div>\n                    </a>\n\n                    <h4 class=\"analysis-header\">\n                        Manual selection\n                    </h4>\n\n                    <div>\n                        <a class=\"new-card-type\" (click)=\"setCardType({ type: 'univariate_header' })\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'univariate'}}\">\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-univariate-analysis.png\">\n                                <h5 class=\"new-card-type__title\">Univariate analysis</h5>\n                                <p class=\"new-card-type__description\">\n                                    Discover your variables and see their distributions side-by-side.\n                                </p>\n                            </div>\n                        </a>\n                        <a class=\"new-card-type\" (click)=\"setCardType({ type: 'bivariate_header' })\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'bivariate'}}\">\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-bivariate-analysis.png\">\n                                <h5 class=\"new-card-type__title\">Bivariate analysis</h5>\n                                <p class=\"new-card-type__description\">\n                                    Look into the relationship between pairs of variables simultaneously.\n                                </p>\n                            </div>\n                        </a>\n                        <a class=\"new-card-type\" (click)=\"goToState(WizardState.TEST)\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'test'}}\">\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-statistical-test.png\">\n                                <h5 class=\"new-card-type__title\">Statistical tests</h5>\n                                <p class=\"new-card-type__description\">\n                                    Make quantitative decisions by testing hypotheses.\n                                </p>\n                            </div>\n                        </a>\n                        <a class=\"new-card-type\" (click)=\"goToState(WizardState.FIT)\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'fit'}}\">\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-fit-curve-distribution.png\">\n                                <h5 class=\"new-card-type__title\">Fit curves & distributions</h5>\n                                <p class=\"new-card-type__description\">\n                                    Model variable distributions or relationships.\n                                </p>\n                            </div>\n                        </a>\n                        <a class=\"new-card-type\" (click)=\"goToState(WizardState.MULTIVARIATE)\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'multivariate'}}\">\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-multivariate-analysis.png\">\n                                <h5 class=\"new-card-type__title\">Multivariate analysis</h5>\n                                <p class=\"new-card-type__description\">\n                                    Look into the relationship of multiple variables simultaneously.\n                                </p>\n                            </div>\n                        </a>\n                        <a class=\"new-card-type\" (click)=\"goToState(WizardState.TIME_SERIES)\"\n                            [qa]=\"{'eda-wizard-navigate': {'category': 'time-series'}}\"\n                        >\n                            <div class=\"new-card-type__body\">\n                                <img class=\"new-card-type__icon\" src=\"/static/dataiku/images/eda/eda-time-series-analysis.png\">\n                                <h5 class=\"new-card-type__title\">Time series analysis</h5>\n                                <p class=\"new-card-type__description\">\n                                    Check the statistical properties of a series.\n                                </p>\n                            </div>\n                        </a>\n                    </div>\n                </div>\n            </ng-container>\n\n            <ng-container *ngSwitchCase=\"WizardState.FIT\">\n                <div class=\"card-wizard__body--wide\">\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'fit_distribution' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'fit-distribution'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Fit Distribution</h5>\n                            <p class=\"new-card-type__description\">\n                                Estimate the parameters of the most common distributions (normal, exponential, ...)\n                            </p>\n                        </div>\n                    </a>\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'fit_2d_distribution' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'fit-2d-distribution'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">2D Fit Distribution</h5>\n                            <p class=\"new-card-type__description\">\n                                Visualize the density of bivariate distributions (KDE and bivariate gaussian).\n                            </p>\n                        </div>\n                    </a>\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'fit_curve' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'fit-curve'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Fit Curve</h5>\n                            <p class=\"new-card-type__description\">\n                                Model the relationship between two variables.\n                            </p>\n                        </div>\n                    </a>\n                </div>\n            </ng-container>\n            <ng-container *ngSwitchCase=\"WizardState.TEST\">\n                <div class=\"new-card new-card--test horizontal-flex card-wizard__body--wide statistical-tests-menu\">\n                    <div class=\"new-card-menu\">\n                        <ul class=\"new-card__list\">\n                            <li (click)=\"setTestType(TestState.ONE_SAMPLE)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{ 'new-card-menu__item--selected': selectedTest === TestState.ONE_SAMPLE }\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'one-sample-test'}}\">\n                                <h5 class=\"new-card-menu__header\">One-sample test</h5>\n                                <span class=\"new-card-menu__subtext\">1 <i class=\"icon-number\"></i> variable</span>\n                            </li>\n                            <li (click)=\"setTestType(TestState.TWO_SAMPLE)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{ 'new-card-menu__item--selected': selectedTest === TestState.TWO_SAMPLE }\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'two-sample-test'}}\">\n                                <h5 class=\"new-card-menu__header\">Two-sample test</h5>\n                                <span class=\"new-card-menu__subtext\">1 <i class=\"icon-number\"></i> variable</span>\n                                <span class=\"new-card-menu__subtext\">1 <i class=\"icon-font\"></i> variable with 2 modalities</span>\n                            </li>\n                            <li (click)=\"setTestType(TestState.N_SAMPLE)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{ 'new-card-menu__item--selected': selectedTest === TestState.N_SAMPLE }\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'n-sample-test'}}\">\n                                <h5 class=\"new-card-menu__header\">N-sample test</h5>\n                                <span class=\"new-card-menu__subtext\">1 <i class=\"icon-number\"></i> variable</span>\n                                <span class=\"new-card-menu__subtext\">1 <i class=\"icon-font\"></i> variable with N modalities</span>\n                            </li>\n                            <li (click)=\"setTestType(TestState.PAIRED)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{ 'new-card-menu__item--selected': selectedTest === TestState.PAIRED }\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'categorical-test'}}\">\n                                <h5 class=\"new-card-menu__header\">Categorical test</h5>\n                                <span class=\"new-card-menu__subtext\">2 <i class=\"icon-font\"></i> variables</span>\n                            </li>\n                        </ul>\n                    </div>\n                    <div class=\"new-card-content\">\n                        <ng-container *ngIf=\"selectedTest === TestState.ONE_SAMPLE\">\n                            <h4 class=\"new-card-content__header\">Location</h4>\n                            <p>Compare the location parameters of a population to a hypothesized constant.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'ttest_ztest_1samp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': '1samp-ttest'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Student 𝘵-test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the mean of a population is a specified value.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'sign_test_1samp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'sign-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Sign Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the median of a population is a specified value.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <h4  class=\"new-card-content__header\">Distribution</h4>\n                                <p>Compare the distribution of a population to a hypothesized one.</p>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'shapiro' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'shapiro'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Shapiro-Wilk Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether a population is normally distributed.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                        <ng-container *ngIf=\"selectedTest === TestState.TWO_SAMPLE\">\n                            <h4  class=\"new-card-content__header\">Location</h4>\n                            <p>Compare the location parameters of two populations.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'ttest_2samp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': '2samp-ttest'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Student 𝘵-test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the mean of two populations is equal.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'mood_test_2samp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': '2samp-mood-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Median Mood Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the median of two populations is equal.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <h4  class=\"new-card-content__header\">Distribution</h4>\n                                <p>Compare the distributions of two populations.</p>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'ks_test_2samp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'ks-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Kolmogorov-Smirnov</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the two populations are similarly distributed.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                        <ng-container *ngIf=\"selectedTest === TestState.N_SAMPLE\">\n                            <h4  class=\"new-card-content__header\">Location</h4>\n                            <p>Compare the location parameters of multiple populations.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'oneway_anova' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'anova'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Oneway ANOVA</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the mean of all populations is equal.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'mood_nsamp' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'nsamp-mood-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Median Mood Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether the median of all populations is equal.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'pairwise_ttest' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'pairwise-ttest'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Pairwise Student 𝘵-test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether every pair of population has the same mean.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'pairwise_mood' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'pairwise-mood-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Pairwise Median Mood Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether every pair of population has the same median.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                        <ng-container *ngIf=\"selectedTest === TestState.PAIRED\">\n                            <h4  class=\"new-card-content__header\">Independence</h4>\n                            <p>Test independence between categorical variables.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'chi2_independence_test' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'chi2-test'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Chi-square Independence Test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test whether two categorical variables are independent.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                    </div>\n                </div>\n            </ng-container>\n            <ng-container *ngSwitchCase=\"WizardState.MULTIVARIATE\">\n                <div class=\"card-wizard__body--wide\">\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'pca' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'pca'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Principal Component Analysis</h5>\n                            <p class=\"new-card-type__description\">\n                                Reduce a large set of variables into a smaller set of components.\n                            </p>\n                        </div>\n                    </a>\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'correlation_matrix' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'correlation'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Correlation matrix</h5>\n                            <p class=\"new-card-type__description\">\n                                Examine the relationship of multiple variables at the same time.\n                            </p>\n                        </div>\n                    </a>\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'scatter_plot_3d' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'scatter-3d'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Scatter plot 3D</h5>\n                            <p class=\"new-card-type__description\">\n                                Visualize the relationships between 3 numerical variables.\n                            </p>\n                        </div>\n                    </a>\n                    <a class=\"new-card-type\" (click)=\"setCardType({ type: 'parallel_coordinates_plot' })\"\n                        [qa]=\"{'eda-wizard-navigate': {'category': 'parallel-coordinates'}}\">\n                        <div class=\"new-card-type__body\">\n                            <h5 class=\"new-card-type__title\">Parallel coordinates plot</h5>\n                            <p class=\"new-card-type__description\">\n                                Visualize a high number of variables at the same time.\n                            </p>\n                        </div>\n                    </a>\n                </div>\n            </ng-container>\n            <ng-container *ngSwitchCase=\"WizardState.TIME_SERIES\">\n                <div class=\"new-card new-card--test horizontal-flex card-wizard__body--wide time-series-menu\">\n                    <div class=\"new-card-menu\">\n                        <ul class=\"new-card__list\">\n                            <li (click)=\"setTimeSeriesAnalysis(TimeSeriesAnalysisState.STATIONARITY)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{'new-card-menu__item--selected': selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.STATIONARITY}\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'stationarity'}}\"\n                            >\n                                <h5 class=\"new-card-menu__header\">Stationarity</h5>\n                                <span class=\"new-card-menu__subtext\">Assess the stationarity of a series</span>\n                            </li>\n                            <li (click)=\"setTimeSeriesAnalysis(TimeSeriesAnalysisState.TREND)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{'new-card-menu__item--selected': selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.TREND}\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'trend'}}\"\n                            >\n                                <h5 class=\"new-card-menu__header\">Trend</h5>\n                                <span class=\"new-card-menu__subtext\">Inspect the trend of a series</span>\n                            </li>\n                            <li (click)=\"setTimeSeriesAnalysis(TimeSeriesAnalysisState.AUTOCORRELATION)\" class=\"new-card-menu__item\"\n                                [ngClass]=\"{'new-card-menu__item--selected': selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.AUTOCORRELATION}\"\n                                [qa]=\"{'eda-wizard-navigate': {'category': 'autocorrelation'}}\"\n                            >\n                                <h5 class=\"new-card-menu__header\">Autocorrelation</h5>\n                                <span class=\"new-card-menu__subtext\">Check for serial correlation</span>\n                            </li>\n                        </ul>\n                    </div>\n                    <div class=\"new-card-content\">\n                        <ng-container *ngIf=\"selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.STATIONARITY\">\n                            <h4 class=\"new-card-content__header\">Stationarity</h4>\n                            <p>The statistical properties of a stationary series do not change over time.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'unit_root_test_kpss' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'unit-root-kpss'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Kwiatkowski-Phillips-Schmidt-Shin test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test for stationarity.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                            <h4 class=\"new-card-content__header\">Unit root</h4>\n                            <p>The absence of a unit root may indicate that the series is stationary.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'unit_root_test_adf' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'unit-root-adf'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Augmented Dickey-Fuller test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test for a unit root in the presence of serial correlation.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'unit_root_test_za' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'unit-root-za'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Zivot-Andrews test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Test for a unit root in the presence of serial correlation and one structural break.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                        <ng-container *ngIf=\"selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.TREND\">\n                            <h4 class=\"new-card-content__header\">Trend</h4>\n                            <p>Analyze the trend of a series.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'mann_kendall_test' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'mann-kendall'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Mann-Kendall trend test</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Analyze time series for consistently increasing or decreasing trends (monotonic trends).\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                        <ng-container *ngIf=\"selectedTimeSeriesAnalysis === TimeSeriesAnalysisState.AUTOCORRELATION\">\n                            <h4 class=\"new-card-content__header\">Autocorrelation</h4>\n                            <p>Assess whether a series is correlated to lagged versions of itself.</p>\n                            <ul class=\"new-card__list\">\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'acf_plot', isPartial: false })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'acf-plot'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Autocorrelation function plot</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Visualize the autocorrelation function of a series.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'acf_plot', isPartial: true })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'pacf-plot'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Partial autocorrelation function plot</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Visualize the partial autocorrelation function of a series.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                                <li>\n                                    <a class=\"new-card-type new-card-type--list\"\n                                        (click)=\"setCardType({ type: 'durbin_watson' })\"\n                                        [qa]=\"{'eda-wizard-navigate': {'category': 'durbin-watson'}}\">\n                                        <div class=\"new-card-type__body\">\n                                            <h5 class=\"new-card-type__title\">Durbin-Watson statistic</h5>\n                                            <p class=\"new-card-type__description\">\n                                                Characterize the autocorrelation of a series.\n                                            </p>\n                                        </div>\n                                    </a>\n                                </li>\n                            </ul>\n                        </ng-container>\n                    </div>\n                </div>\n            </ng-container>\n            <ng-container *ngSwitchCase=\"WizardState.AUTOMAGIC\">\n                <automagic-sniffer></automagic-sniffer>\n            </ng-container>\n        </ng-container>\n    </div>\n    <ng-container *ngIf=\"state === WizardState.VARIABLES\">\n        <div class=\"modal-footer modal-footer-std-buttons\">\n            <div class=\"pull-right\" [matTooltip]=\"validationTooltip\">\n                <button\n                    type=\"button\"\n                    class=\"btn btn--text btn--secondary\"\n                    (click)=\"dismiss()\"\n                    tabindex=\"-1\"\n                >\n                    Cancel\n                </button>\n                <button\n                    type=\"submit\"\n                    form=\"config-form\"\n                    class=\"btn btn--text btn--primary\"\n                    [disabled]=\"!canSave\"\n                    (click)=\"save()\"\n                    tabindex=\"-1\"\n                    [wt1Click]=\"'worksheets_create-card'\"\n                    [qa]=\"'eda-create-card-button'\"\n                >\n                    Create Card\n                </button>\n            </div>\n        </div>\n    </ng-container>\n</div>\n\n","import { Component, OnInit } from '@angular/core';\nimport { CardWizardService } from '../card-wizard.service';\nimport { MatDialogRef } from '@angular/material/dialog';\nimport { Card, isCorrelationMatrixCard, isPCACard } from 'src/generated-sources';\nimport { getBasicCardTitle } from '@features/eda/card-utils';\nimport produce from 'immer';\n\ntype PartialCardWithType = Partial<Card> & { 'type': Card['type'] };\n\nenum TestState {\n    ONE_SAMPLE = 'ONE_SAMPLE',\n    TWO_SAMPLE = 'TWO_SAMPLE',\n    N_SAMPLE = 'N_SAMPLE',\n    PAIRED = 'PAIRED',\n}\n\nenum TimeSeriesAnalysisState {\n    STATIONARITY = 'STATIONARITY',\n    AUTOCORRELATION = 'AUTOCORRELATION',\n    TREND = 'TREND',\n}\n\nexport enum WizardState {\n    ANALYSIS = 'ANALYSIS',\n    TEST = 'TEST',\n    FIT = 'FIT',\n    VARIABLES = 'VARIABLES',\n    MULTIVARIATE = 'MULTIVARIATE',\n    TIME_SERIES = 'TIME_SERIES',\n    AUTOMAGIC = 'AUTOMAGIC'\n}\n\n@Component({\n    selector: 'new-card-modal',\n    templateUrl: './new-card-modal.component.html',\n    styleUrls: [\n        '../../../shared-styles/card-wizard.less',\n        './new-card-modal.component.less'\n    ],\n    providers: [CardWizardService]\n})\nexport class NewCardModalComponent implements OnInit {\n    state = WizardState.ANALYSIS;\n    previousState = WizardState.ANALYSIS;\n    WizardState = WizardState;\n    selectedTest = TestState.ONE_SAMPLE;\n    TestState = TestState;\n    selectedTimeSeriesAnalysis = TimeSeriesAnalysisState.STATIONARITY;\n    TimeSeriesAnalysisState = TimeSeriesAnalysisState;\n    stateName = {\n        [WizardState.ANALYSIS]: 'Select a card type',\n        [WizardState.TEST]: 'Statistical Tests',\n        [WizardState.FIT]: 'Fit curves & distributions',\n        [WizardState.MULTIVARIATE]: 'Multivariate analysis',\n        [WizardState.VARIABLES]: '',\n        [WizardState.TIME_SERIES]: 'Time series analysis',\n        [WizardState.AUTOMAGIC]: 'Let Dataiku suggest cards',\n    };\n    title: string = this.stateName[this.state];\n\n    params: any = {};\n    changedParamsValid = true;\n    validationTooltip: string;\n    changedParams?: Card;\n\n    constructor(\n        private cardWizardService: CardWizardService,\n        private dialogRef: MatDialogRef<NewCardModalComponent>,\n    ) {\n    }\n\n    ngOnInit() {\n    }\n\n    setCardType(params: PartialCardWithType) {\n        this.params = {\n            ...this.cardWizardService.getCardDefault(params.type),\n            ...params,\n        },\n        this.title = getBasicCardTitle(this.params);\n        this.goToState(WizardState.VARIABLES);\n    }\n\n    goToState(state: WizardState) {\n        this.previousState = this.state;\n        this.state = state;\n\n        if (this.state !== WizardState.VARIABLES) {\n            this.title = this.stateName[this.state];\n        }\n    }\n\n    goToPreviousState(state: WizardState) {\n        let previousState: WizardState = this.previousState;\n\n        switch (state) {\n            case WizardState.FIT:\n            case WizardState.TEST:\n            case WizardState.TIME_SERIES:\n            case WizardState.MULTIVARIATE:\n                previousState = WizardState.ANALYSIS;\n                break;\n        }\n\n        this.goToState(previousState);\n    }\n\n    setTestType(type: TestState) {\n        this.selectedTest = type;\n    }\n\n    setTimeSeriesAnalysis(type: TimeSeriesAnalysisState) {\n        this.selectedTimeSeriesAnalysis = type;\n    }\n\n    changeValidity(validity: boolean) {\n        this.changedParamsValid = validity;\n    }\n\n    changeValidityTooltip(tooltip: string) {\n        this.validationTooltip = tooltip;\n    }\n\n    changeParams(params: Card) {\n        this.changedParams = params;\n    }\n\n    dismiss() {\n        this.dialogRef.close('');\n    }\n\n    get canSave() {\n        return this.changedParams && this.changedParamsValid;\n    }\n\n    save() {\n        if (this.canSave) {\n            this.dialogRef.close({\n                card: withSmartCreationParams(this.changedParams!)\n            });\n        }\n    }\n}\n\n// Not all parameters are configurable in card creation modal\n// This function overrides default parameters with smart values\nfunction withSmartCreationParams(newCard: Card): Card {\n    // Hide values when the heatmap is too large (unreadable)\n    if (isCorrelationMatrixCard(newCard) || isPCACard(newCard)) {\n        return produce(newCard, draft => {\n            if (newCard.columns.length > 20) {\n                draft.heatmapParams.showValues = false;\n            }\n        });\n    }\n\n    return newCard;\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\nconst TARGET_NUMBER_LENGTH = 12;\n\n/**\n * Similar to smartNumber except:\n * - Formatted numbers takes <= TARGET_NUMBER_LENGTH characters\n * - Precision is preserved as much as possible\n */\nexport function smarterNumber(v?: number | null): string {\n    if (typeof v !== 'number') {\n        return 'N/A';\n    }\n    const str = v.toString();\n    if (str.length <= TARGET_NUMBER_LENGTH) {\n        return str;\n    }\n    for (let precision = TARGET_NUMBER_LENGTH; precision > 1; precision--) {\n        // Round to lower precision\n        const rounded = v.toPrecision(precision);\n        // Remove trailing zeros\n        const cleaned = rounded.replace(/^([-+]?[0-9]*)(?:\\.0*|(\\.[0-9]*[1-9])0*)([eE][-+]?[0-9]+)?$/, '$1$2$3');\n        if (cleaned.length <= TARGET_NUMBER_LENGTH) {\n            return cleaned;\n        }\n    }\n    // Should never happen\n    return v.toString();\n}\n\n@Pipe({\n    name: 'smarterNumber'\n})\nexport class SmarterNumberPipe implements PipeTransform {\n    transform(d: number | undefined | null): string {\n        return smarterNumber(d);\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { Filter, IntervalFilter, isAnumFilter, isAllFilter, isIntervalFilter, isAndFilter } from 'src/generated-sources';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\nfunction fullFilterName(filter: Filter): string {\n    if (!filter) {\n        return '';\n    }\n    if (filter.name != null && filter.name !== '') {\n        return filter.name;\n    }\n    if (isAnumFilter(filter)) {\n        return filter.values.map(value => value === '' ? '(no value)' : value).join(', ');\n    }\n    if (isAllFilter(filter)) {\n        return 'All';\n    }\n    if (isIntervalFilter(filter)) {\n        let beginning;\n        let end;\n        switch (filter.closed) {\n            case IntervalFilter.ClosedMode.LEFT:\n                beginning = '[';\n                end = ')';\n                break;\n            case IntervalFilter.ClosedMode.RIGHT:\n                beginning = '(';\n                end = ']';\n                break;\n            case IntervalFilter.ClosedMode.BOTH:\n                beginning = '[';\n                end = ']';\n                break;\n            case IntervalFilter.ClosedMode.NEITHER:\n                beginning = '(';\n                end = ')';\n        }\n        const left = filter.left === -Number.MAX_VALUE ? '-∞' : smarterNumber(filter.left);\n        const right = filter.right === Number.MAX_VALUE ? '+∞' : smarterNumber(filter.right);\n        return `${beginning}${left},${right}${end}`;\n    }\n    if (isAndFilter(filter)) {\n        return filter.filters\n            .map(childFilter => filterName(childFilter))\n            .join(', ');\n    }\n\n    // NOT IMPLEMENTED\n    return 'UNNAMED';\n}\n\nexport function filterName(filter: Filter): string {\n    return fullFilterName(filter).slice(0, 100);\n}\n\n@Pipe({\n    name: 'filterName',\n    pure: true\n})\nexport class FilterNamePipe implements PipeTransform {\n    transform(filter: Filter): string {\n        return filterName(filter);\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { filter, map } from 'rxjs/operators';\nimport { Observable, Subject, of, concat } from 'rxjs';\nimport { Card, Filter, Variable, SplitBySpec, AbstractHeaderCard } from 'src/generated-sources';\nimport { FilterNamePipe } from '@features/eda/pipes/filter-name.pipe';\n\n// Collapsing key is an identifier used to synchronize collapsible elements together\n// Typically, two elements are collapsed together if their collapsing key is the same\nabstract class CollapsibleBase {\n    // Collapsible is always per-card\n    cardId: string;\n\n    // Type of collapsible\n    type: string;\n\n    // Used to\n    // - Persist collapsing states\n    // - Compare collapsible key\n    persistenceKey(): string {\n        return `${this.type}.${this.cardId}`;\n    }\n\n    constructor(cardId: string) {\n        this.cardId = cardId;\n    }\n\n    collapsedByDefault(): boolean {\n        return false;\n    }\n}\n\n// Collapsing key referencing a specific group in any grouped top level card\nexport class CollapsibleGroup extends CollapsibleBase {\n    type = 'group';\n    filter: Filter;\n\n    persistenceKey() {\n        return `${super.persistenceKey()}.${new FilterNamePipe().transform(this.filter)}`;\n    }\n\n    constructor(cardId: string, filterArg: Filter) {\n        super(cardId);\n        this.filter = filterArg;\n    }\n}\n\n\n// Collapsing key referencing a top level card\nexport class CollapsibleTopLevelCard extends CollapsibleBase {\n    type = 'top_level';\n}\n\n// Collapsing key referencing the help section of a top level card\nexport class CollapsibleHelp extends CollapsibleBase {\n    type = 'help';\n\n    collapsedByDefault(): boolean {\n        return true;\n    }\n}\n\n\n// Collapsing key of a stat card\n// Note: since grouped header cards are rotated, collapsing works per-column\nexport class CollapsibleStatCard extends CollapsibleBase {\n    type = 'stat_card';\n    column: Variable;\n    statType: Card['type'];\n    headerSplitBy?: SplitBySpec | null;\n\n    persistenceKey() {\n        if (this.headerSplitBy) {\n            return `${super.persistenceKey()}.grouped.${this.statType}.${this.column.type}.${this.column.name}`;\n        } else {\n            return `${super.persistenceKey()}.notGrouped.${this.statType}.${this.column.type}`;\n        }\n    }\n\n    constructor(headerCard: AbstractHeaderCard, column: Variable, statType: Card['type']) {\n        super(headerCard.id);\n        this.column = column;\n        this.statType = statType;\n        this.headerSplitBy = headerCard.splitBy;\n    }\n}\n\n// Collapsing key of a column any header card\nexport class CollapsibleColumnCard extends CollapsibleBase {\n    type = 'column_card';\n    column: Variable;\n\n    persistenceKey() {\n        return `${super.persistenceKey()}.${this.column.name}`;\n    }\n\n    constructor(cardId: string, column: Variable) {\n        super(cardId);\n        this.column = column;\n    }\n}\n\nexport type Collapsible = CollapsibleGroup\n    | CollapsibleStatCard\n    | CollapsibleColumnCard\n    | CollapsibleTopLevelCard\n    | CollapsibleHelp;\n\nexport abstract class CollapsingService {\n    abstract watchIsCollapsed(collapsible: Collapsible): Observable<boolean>;\n    abstract setIsCollapsed(collapsible: Collapsible, isCollapsed: boolean): void;\n}\n\nexport abstract class UpdatableCollapsingService extends CollapsingService {\n\n}\n\n@Injectable()\nexport class LocalStorageCollapsingService extends UpdatableCollapsingService {\n    private changes = new Subject<{ storageKey: string, isCollapsed: boolean }>();\n\n    watchIsCollapsed(collapsible: Collapsible): Observable<boolean> {\n        const storageKey = collapsible.persistenceKey();\n        const initialValue = this.getItem(storageKey, collapsible.collapsedByDefault());\n        const updatedValues = this.changes.pipe(\n            filter(change => change.storageKey === storageKey),\n            map(change => change.isCollapsed)\n        );\n        return concat(of(initialValue), updatedValues);\n    }\n\n    constructor() {\n        super();\n    }\n\n    setIsCollapsed(collapsible: Collapsible, newIsCollapsed: boolean): void {\n        const storageKey = collapsible.persistenceKey();\n        const newIsDefault = newIsCollapsed === collapsible.collapsedByDefault();\n\n        if (newIsDefault) {\n            this.removeItem(storageKey);\n        } else {\n            this.setItem(storageKey, newIsCollapsed);\n        }\n        this.changes.next({ storageKey, isCollapsed: newIsCollapsed });\n    }\n\n    // Private\n\n    private setItem(key: string, collapsed: true | false) {\n        localStorage.setItem(key, collapsed ? 'true' : 'false');\n    }\n\n    private removeItem(key: string) {\n        localStorage.removeItem(key);\n    }\n\n    private getItem(key: string, collapsedByDefault: boolean): boolean {\n        switch (localStorage.getItem(key)) {\n            case 'true':\n                return true;\n            case 'false':\n                return false;\n        }\n        return collapsedByDefault;\n    }\n}\n\n@Injectable()\nexport class NoopCollapsingService extends CollapsingService {\n    watchIsCollapsed(collapsible: Collapsible): Observable<boolean> {\n        return of(collapsible.collapsedByDefault());\n    }\n\n    setIsCollapsed(collapsible: Collapsible, isCollapsed: boolean): void {\n        return;\n    }\n}\n","import { Component, Inject } from '@angular/core';\nimport { MatDialogRef, MAT_DIALOG_DATA } from '@angular/material/dialog';\n\n@Component({\n  selector: 'delete-dialog',\n  templateUrl: './delete-dialog.component.html',\n  styleUrls: ['./delete-dialog.component.less']\n})\nexport class DeleteDialogComponent  {\n    // Use remove for variables, but delete for cards since we're not actually deleting the variable/column\n    get removalText(): string {\n        return this.data.type === 'column_card' ? 'remove' : 'delete';\n    }\n\n    constructor(\n        public dialogRef: MatDialogRef<DeleteDialogComponent>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            title: string,\n            type?: string,\n        }\n    ) { }\n}\n","\n<div class=\"modal-header no-totem has-border\">\n    <h4 class=\"remove-title\">{{ removalText }} \"{{ data.title }}\"</h4>\n</div>\n<div class=\"modal-body\">\n    <p>Are you sure you want to {{ removalText }} \"{{ data.title }}\"?\n    </p>\n</div>\n<div class=\"modal-footer modal-footer-std-buttons\">\n    <div class=\"pull-right\">\n        <button type=\"button\" class=\"btn btn--text btn--secondary\" (click)=\"dialogRef.close(false)\">Cancel</button>\n        <button type=\"button\" class=\"btn btn--text btn--danger\" (click)=\"dialogRef.close(true)\" >\n            {{ removalText }}\n        </button>\n    </div>\n</div>","import { ElementRef, Injector, Directive, Input} from '@angular/core';\nimport { UpgradeComponent } from '@angular/upgrade/static';\n\n@Directive({\n    selector: 'angularjs-dku-bs-select'\n})\nexport class AngularjsDkuBsSelectDirective extends UpgradeComponent {\n    @Input() params: any;\n    @Input() list: any;\n    @Input() model: any;\n    @Input() ngOptions: any;\n    @Input() required: any;\n    @Input() modelChange: any;\n    @Input() optionsDescriptions: any;\n    @Input() optionsAnnotations: any;\n    @Input() layout: string;\n    @Input() dataActionsBox: any;\n    @Input() dataLiveSearch: any;\n    @Input() dkuMultiple: any;\n\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1DkuBsSelect', elementRef, injector);\n    }\n}\n","import { Component, EventEmitter, Input, Output, SimpleChanges, Inject, OnChanges } from '@angular/core';\nimport { realAny } from 'dku-frontend-core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'dku-bs-select',\n    template: `\n    <angularjs-dku-bs-select [params]=\"params\" [list]=\"list\" [model]=\"model\" [ngOptions]=\"ngOptions\" [required]=\"required\"\n                            [modelChange]=\"modelChange\" [optionsDescriptions]=\"optionsDescriptions\" [optionsAnnotations]=\"optionsAnnotations\"\n                            [dataActionsBox]=\"dataActionsBox\" [dataLiveSearch]=\"dataLiveSearch\"\n                            [layout]=\"layout\" [dkuMultiple]=\"dkuMultiple\">\n    </angularjs-dku-bs-select>`\n})\nexport class DkuBsSelectComponent implements OnChanges {\n    // This is a thin wrapper to allow angular-style \"two-way binding\"\n    // We transform an output (datasetChange) into an output and make it available to an AngularJS watch\n    // not sure if there is a better way with AngularUpgrade.\n\n    // ngOptions should always refer to the array as \"list\"\n    // and the array should be given as the \"list\" param\n    // Note than only ngOptions is supported, it's not possible to specify <option> tags\n    @Input() params?: object;\n    @Input() list: realAny[];\n    @Input() optionsDescriptions?: realAny[];\n    @Input() optionsAnnotations?: realAny[];\n    @Input() ngOptions: string;\n    @Input() required?: boolean;\n    @Input() model: realAny;\n    @Input() layout?: string;\n    @Input() dataActionsBox?: boolean;\n    @Input() dataLiveSearch?: boolean;\n    @Input() dkuMultiple?: boolean;\n\n    // Allow to have 2 way data-binding in templates using the `[(model)]` syntax\n    @Output() modelChange: EventEmitter<any> = new EventEmitter<any>();\n\n    ngOnChanges() {\n        // Run AngularJS change detetion\n        this.$rootScope.$applyAsync();\n    }\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) {\n    }\n}\n","import { Component, OnInit, ChangeDetectionStrategy, Input, EventEmitter, Output, forwardRef, ChangeDetectorRef } from '@angular/core';\nimport { realAny } from 'dku-frontend-core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\n\n@Component({\n  selector: 'dku-bs-select-form-control',\n  templateUrl: './dku-bs-select-form-control.component.html',\n  styleUrls: ['./dku-bs-select-form-control.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush,\n  providers: [\n    {\n        provide: NG_VALUE_ACCESSOR,\n        useExisting: forwardRef(() => DkuBsSelectFormControlComponent),\n        multi: true\n        }\n    ]\n})\nexport class DkuBsSelectFormControlComponent implements OnInit, ControlValueAccessor {\n    @Input() params?: object;\n    @Input() list: realAny[];\n    @Input() optionsDescriptions?: realAny[];\n    @Input() ngOptions: string;\n    @Input() model: realAny;\n    @Input() required?: boolean;\n    @Input() layout?: string;\n    @Input() dataActionsBox?: boolean;\n    @Input() dataLiveSearch?: boolean;\n    @Input() dkuMultiple?: boolean;\n    // Allow to have 2 way data-binding in templates using the `[(model)]` syntax\n    @Output() modelChange: EventEmitter<any> = new EventEmitter<any>();\n\n    constructor(private changeDetectionRef: ChangeDetectorRef) {\n\n    }\n\n    propagateChange = (_: any) => {};\n\n    ngOnInit() {\n    }\n\n    select(selected: any) {\n        this.propagateChange(selected);\n    }\n\n    writeValue(value: any) {\n        this.model = value;\n        this.changeDetectionRef.markForCheck();\n    }\n\n    registerOnChange(fn: (_: any) => {}) {\n        this.propagateChange = fn;\n    }\n\n    registerOnTouched() {}\n}\n","<dku-bs-select\n    [params]=\"params\" \n    (modelChange)=\"select($event)\" \n    [model]=\"model\" \n    [list]=\"list\" \n    [layout]=\"layout\" \n    [ngOptions]=\"ngOptions\" \n    [required]=\"required\" \n    [optionsDescriptions]=\"optionsDescriptions\"\n    [dataActionsBox]=\"dataActionsBox\" \n    [dataLiveSearch]=\"dataLiveSearch\"\n    [dkuMultiple]=\"dkuMultiple\"\n></dku-bs-select>","import { ElementRef, Injector, Directive, Input } from '@angular/core';\nimport { UpgradeComponent } from '@angular/upgrade/static';\n\n@Directive({\n    selector: 'angularjs-dataset-selector'\n})\nexport class AngularjsDatasetSelectorDirective extends UpgradeComponent {\n    @Input() dataset: any;\n    @Input() datasetChange: any;\n    @Input() availableDatasets: any;\n    @Input() required?: boolean;\n\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1DatasetSelectorDirective', elementRef, injector);\n    }\n}","import { Component, Output, Input, EventEmitter } from '@angular/core';\n\n@Component({\n    selector: 'dataset-selector',\n    template: '<angularjs-dataset-selector [dataset]=\"dataset\" [datasetChange]=\"datasetChange\" [availableDatasets]=\"availableDatasets\" [required]=\"required\"></angularjs-dataset-selector>',\n})\nexport class DatasetSelectorComponent {\n    @Input() dataset: string;\n    @Input() availableDatasets: any[];\n    @Input() required?: boolean;\n    @Output() datasetChange: EventEmitter<String> = new EventEmitter<String>();\n}\n","import { Component, Input, EventEmitter, Output, forwardRef, ChangeDetectorRef } from '@angular/core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\n\n@Component({\n    selector: 'dataset-selector-form-control',\n    template: `\n        <dataset-selector\n            [dataset]=\"dataset\"\n            (datasetChange)=\"select($event)\"\n            [availableDatasets]=\"availableDatasets\"\n            [required]=\"required\"\n        ></dataset-selector>\n    `,\n    providers: [{\n        provide: NG_VALUE_ACCESSOR,\n        useExisting: forwardRef(() => DatasetSelectorFormControlComponent),\n        multi: true\n    }]\n})\nexport class DatasetSelectorFormControlComponent implements ControlValueAccessor {\n    @Input() dataset: string;\n    @Input() availableDatasets: any[];\n    @Input() required?: boolean;\n    @Output() datasetChange: EventEmitter<String> = new EventEmitter<String>();\n\n    propagateChange = (_: any) => {};\n\n    constructor(\n        private changeDetectionRef: ChangeDetectorRef,\n    ) {\n\n    }\n\n    select(selected: any) {\n        this.propagateChange(selected);\n    }\n\n    writeValue(value: any) {\n        this.dataset = value;\n    }\n\n    registerOnChange(fn: (_: any) => {}) {\n        this.propagateChange = fn;\n    }\n\n    registerOnTouched() {}\n}\n","<div class=\"modal\">\n    <modal-header\n        [title]=\"'Duplicate worksheet'\"\n        [hasBorder]=\"false\"\n    ></modal-header>\n    <div class=\"modal-body\">\n        <form class=\"dkuform-modal-horizontal\" [formGroup]=\"form\">\n            <div class=\"control-group\">\n                <label class=\"control-label\">Project</label>\n                <div class=\"controls\">\n                    <dku-bs-select-form-control [params]=\"projectSelectParams\" dataLiveSearch=\"true\" [list]=\"projects\" formControlName=\"project\" ngOptions=\"project.projectKey as project.name for project in list\"></dku-bs-select-form-control>\n                </div>\n            </div>\n            <div class=\"control-group modal-first-cg-clear-totem\" ng-show=\"selectedProject\">\n                <label class=\"control-label\">Dataset</label>\n                <div class=\"controls\">\n                    <dataset-selector-form-control [availableDatasets]=\"datasets\" formControlName=\"dataset\"></dataset-selector-form-control>\n                    <div class=\"help-inline\" *ngIf=\"!datasets.length\">\n                        <a (click)=\"importDataset(form.get('project')!.value)\">No dataset in this project: Import a new dataset</a>\n                    </div>\n                </div>\n            </div>\n        </form>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\" class=\"btn btn--text btn--secondary\" (click)=\"dialogRef.close(false)\">Cancel</button>\n            <button type=\"button\" class=\"btn btn--text btn--primary\" (click)=\"confirm()\" [disabled]=\"!form.valid\">\n                Confirm\n            </button>\n        </div>\n    </div>\n</div>","import { Component, OnInit, ChangeDetectionStrategy, OnDestroy, ChangeDetectorRef, Inject } from '@angular/core';\nimport { Validators, FormBuilder } from '@angular/forms';\nimport { MatDialogRef } from '@angular/material/dialog';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { map, switchMap, filter, distinctUntilChanged } from 'rxjs/operators';\nimport { UsabilityComputer, ProjectsCRUDController } from 'src/generated-sources';\nimport { IScope } from 'angular';\nimport { fairAny } from 'dku-frontend-core';\n\n@UntilDestroy()\n@Component({\n    selector: 'duplicate-worksheet-dialog',\n    templateUrl: './duplicate-worksheet-dialog.component.html',\n    styleUrls: ['./duplicate-worksheet-dialog.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DuplicateWorksheetDialogComponent implements OnInit, OnDestroy {\n    projects: ProjectsCRUDController.ProjectHead[] = [];\n    datasets: UsabilityComputer.UsableComputable[] = [];\n    projectSelectParams: { noneSelectedText: string };\n    form = this.fb.group({\n        project: this.fb.control(null, [Validators.required]),\n        dataset: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(\n        private currentRoute: CurrentRouteService,\n        private DataikuAPI: DataikuAPIService,\n        private changeDetectionRef: ChangeDetectorRef,\n        public dialogRef: MatDialogRef<DuplicateWorksheetDialogComponent>,\n        @Inject('$state') private $state: fairAny,\n        @Inject('$rootScope') private $rootScope: IScope,\n        private fb: FormBuilder\n    ) {\n        this.projectSelectParams = {\n            noneSelectedText: 'No project selected'\n        };\n    }\n\n    ngOnInit() {\n        const originalProjectKey = this.currentRoute.projectKey;\n        const originalDatasetName = this.currentRoute.datasetName;\n\n        this.DataikuAPI.projects.listHeads('WRITE_CONF')\n            .pipe(\n                untilDestroyed(this)\n            )\n            .subscribe((writableProjects) => {\n                if (writableProjects && writableProjects.length) {\n                    const currentProjectWritable = writableProjects.some(_ => _.projectKey === originalProjectKey);\n                    const selectedProject = currentProjectWritable ? originalProjectKey : writableProjects[0].projectKey;\n\n                    this.projects = writableProjects;\n\n                    this.form.patchValue({\n                        project: selectedProject\n                    });\n\n                    this.changeDetectionRef.detectChanges();\n                }\n            });\n\n        this.form.controls.project.valueChanges.pipe(\n            distinctUntilChanged(),\n            filter(projectKey => projectKey), // if not empty\n            switchMap(projectKey => this.DataikuAPI.flow.listUsableComputables(projectKey, { datasetsOnly: true })\n                .pipe(\n                    map(datasets => [projectKey, datasets])\n                )\n            )\n        ).subscribe(([projectKey, datasets]) => {\n            const selectedDataset = projectKey === originalProjectKey ? originalDatasetName : null;\n\n            this.datasets = datasets;\n\n            this.form.patchValue({\n                dataset: selectedDataset\n            });\n\n            this.changeDetectionRef.detectChanges();\n            this.$rootScope.$applyAsync();\n        });\n    }\n\n    importDataset(projectKey: string) {\n        this.$state.go('projects.project.datasets.new', {\n            projectKey\n        });\n    }\n\n    confirm() {\n        this.dialogRef.close({\n            projectKey: this.form.controls.project.value,\n            datasetName: this.form.controls.dataset.value,\n        });\n    }\n\n    ngOnDestroy() {\n\n    }\n\n}\n","import { Component, OnInit, ChangeDetectionStrategy, Inject } from '@angular/core';\nimport { MatDialogRef, MAT_DIALOG_DATA } from '@angular/material/dialog';\n\n@Component({\n    selector: 'rename-worksheet-dialog',\n    templateUrl: './rename-worksheet-dialog.component.html',\n    styleUrls: ['./rename-worksheet-dialog.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class RenameWorksheetDialogComponent {\n    constructor(\n        public dialogRef: MatDialogRef<RenameWorksheetDialogComponent>,\n        @Inject(MAT_DIALOG_DATA) public data: {\n            name: string\n        }\n    ) {}\n}\n","<div class=\"modal\">\n    <modal-header\n        [title]=\"'Rename worksheet'\"\n        [hasBorder]=\"false\"\n    ></modal-header>\n    <div class=\"modal-body dkuform-modal-horizontal\">\n        <div class=\"control-group\">\n            <label for=\"newNameInput\" class=\"control-label\">New name</label>\n            <div class=\"controls\">\n                <input id=\"newNameInput\" [(ngModel)]=\"data.name\" type=\"text\" />\n            </div>\n        </div>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\" class=\"btn btn--text btn--secondary\" (click)=\"dialogRef.close(false)\">Cancel</button>\n            <button type=\"button\" class=\"btn btn--text btn--primary\" (click)=\"dialogRef.close(data.name)\" >\n                Rename\n            </button>\n        </div>\n    </div>\n</div>\n","<div class=\"waiting\">\n    <div class=\"waiting__progress\">\n        <svg width=\"120\" height=\"120\" viewBox=\"0 0 120 120\" class=\"waiting__svg\">\n            <circle [attr.r]=\"radius\" cx=\"60\" cy=\"60\" stroke-width=\"6\" class=\"waiting__spinner-base\" />\n            <circle [attr.r]=\"radius\" cx=\"60\" cy=\"60\" stroke-width=\"6\" class=\"waiting__spinner\" />\n        </svg>\n        <div class=\"waiting__percentage\" *ngIf=\"started\">{{ percentage | number: '1.0-0' }}%</div>\n    </div>\n    <div class=\"waiting__message\">\n        <span [innerHtml]=\"stackMessage\" class=\"waiting__message-text\"></span>\n    </div>\n    <button (click)=\"abort()\" class=\"btn btn--danger waiting__abort\">Abort</button>\n</div>","import { Component, Inject } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\n\n@Component({\n    selector: 'waiting-overlay',\n    templateUrl: './waiting-overlay.component.html',\n    styleUrls: ['./waiting-overlay.component.less']\n})\nexport class WaitingOverlayComponent {\n    percentage = 0;\n    radius = 54;\n    stackMessage = '';\n    started = false;\n    abortFunction?: () => void;\n\n    constructor(\n        @Inject('ProgressStackMessageBuilder') private ProgressStackMessageBuilder: fairAny\n    ) {\n    }\n\n    setAbortFunction(abortFunction: () => void) {\n        this.abortFunction = abortFunction;\n    }\n\n    abort(): void {\n        if (this.abortFunction) {\n            this.abortFunction();\n        }\n    }\n\n    update(progress: any) {\n        this.percentage = this.ProgressStackMessageBuilder.getPercentage(progress);\n        this.started = progress && progress.states && progress.states.length;\n        this.stackMessage = this.ProgressStackMessageBuilder.build(progress);\n    }\n}\n","import { OverlayConfig, Overlay, OverlayRef } from '@angular/cdk/overlay';\nimport { Injectable, Inject, ComponentRef } from '@angular/core';\nimport { ComponentPortal } from '@angular/cdk/portal';\nimport { WaitingOverlayComponent } from './waiting-overlay/waiting-overlay.component';\nimport { fairAny } from 'dku-frontend-core';\nimport { Observable, defer, Subject, OperatorFunction, MonoTypeOperatorFunction } from 'rxjs';\nimport { takeUntil, finalize, tap } from 'rxjs/operators';\nimport { IScope } from 'angular';\nimport { TypedFutureResponse, FutureWatcherService } from 'dku-frontend-core';\n\ninterface FutureState {\n    progress: any;\n    aborter: () => void;\n}\n\nconst ABORT_ERROR = {\n    message: 'Interrupted',\n    errorType: 'FutureAbort',\n    httpCode: 444\n};\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class WaitingService {\n    constructor(\n        private overlay: Overlay,\n        private futureWatcher: FutureWatcherService,\n        @Inject('SpinnerService') SpinnerService: fairAny,\n        @Inject('$rootScope') private $rootScope: IScope\n    ) {\n        this.spinnerServiceInstance = SpinnerService();\n    }\n\n    private spinnerServiceInstance: any;\n\n    // List of running futures (only the last one is displayed)\n    private futures: FutureState[] = [];\n    // Active overlay reference\n    private overlayRef?: OverlayRef;\n    private componentRef?: ComponentRef<WaitingOverlayComponent>;\n\n    // Nb. of observables requesting the spinner to be shown (spinner is displayed when count > 0)\n    private spinnerRequestCount = 0;\n    // Active spinner flag\n    private isSpinnerDisplayed = false;\n\n    bindSpinner<T>() {\n        const spinnerHolder$ = new Observable<T>(_ => {\n            this.spinnerRequestCount++;\n            this.update();\n            return () => {\n                this.spinnerRequestCount--;\n                this.update();\n            };\n        });\n        return (longOperation: Observable<T>) => longOperation.pipe(takeUntil(spinnerHolder$));\n    }\n\n    bindStaticOverlay<T>(message = 'Please wait...'): MonoTypeOperatorFunction<T> {\n        const attachedObservable = new Observable(observer => {\n            const futureState = {\n                progress: { states: [{ name: message }] },\n                aborter: () => { observer.error(ABORT_ERROR); }\n            };\n            this.futures.push(futureState);\n            this.update();\n            return () => {\n                this.futures = this.futures.filter(f => f !== futureState);\n                this.update();\n            };\n        });\n\n        return future => future.pipe(takeUntil(attachedObservable));\n    }\n\n    bindOverlayAndWaitForResult<T>(): OperatorFunction<TypedFutureResponse<T>, T> {\n        return future => defer(() => { // defer() ensures we get a different context at every subscription\n            const aborted$ = new Subject<void>();\n            let futureState: FutureState | undefined;\n            return future.pipe(\n                tap(resp => {\n                    if (!futureState) {\n                        futureState = {\n                            aborter: () => aborted$.error(ABORT_ERROR),\n                            progress: resp.progress\n                        };\n                        this.futures.push(futureState);\n                    }\n                    futureState.progress = resp.progress;\n                    this.update();\n                }),\n                finalize(() => {\n                    this.futures = this.futures.filter(f => f !== futureState);\n                    this.update();\n                }),\n                this.futureWatcher.waitForResult(),\n                takeUntil(aborted$)\n            );\n        });\n    }\n\n    private update() {\n        // Update the future overlay (managed by Angular)\n        const shouldDisplayOverlay = this.futures.length > 0;\n        const isOverlayDisplayed = this.overlayRef && this.componentRef;\n\n        if (shouldDisplayOverlay && !isOverlayDisplayed) {\n            const config = new OverlayConfig();\n            config.positionStrategy = this.overlay.position()\n                .global().centerHorizontally().centerVertically();\n            this.overlayRef = this.overlay.create(config);\n            const portal = new ComponentPortal(WaitingOverlayComponent);\n            this.componentRef = this.overlayRef.attach(portal);\n            this.componentRef.instance.setAbortFunction(() => {\n                // Abort them all\n                for (const future of this.futures) {\n                    future.aborter();\n                }\n                this.futures = [];\n            });\n        }\n\n        if (!shouldDisplayOverlay && isOverlayDisplayed) {\n            this.overlayRef!.dispose();\n            delete this.overlayRef;\n            delete this.componentRef;\n        }\n\n        if (shouldDisplayOverlay) {\n            const lastFuture = this.futures[this.futures.length - 1];\n            this.componentRef!.instance.update(lastFuture.progress);\n        }\n\n        // Update the spinner (managed by AngularJS)\n        const shouldDisplaySpinner = this.spinnerRequestCount > 0\n            && !shouldDisplayOverlay; // Hide spinner if overlay is shown\n\n        if (this.isSpinnerDisplayed && !shouldDisplaySpinner) {\n            this.$rootScope.$applyAsync(() => this.spinnerServiceInstance.release());\n            this.isSpinnerDisplayed = false;\n        }\n\n        if (!this.isSpinnerDisplayed && shouldDisplaySpinner) {\n            this.$rootScope.$applyAsync(() => this.spinnerServiceInstance.acquire());\n            this.isSpinnerDisplayed = true;\n        }\n    }\n}\n","import { SchemaColumn, Variable } from 'src/generated-sources';\n\nexport function columnsToVariables(schemaColumns: SchemaColumn[]): Variable[] {\n    return schemaColumns.map(column => {\n        switch (column.type) {\n            case 'float':\n            case 'double':\n            case 'smallint':\n            case 'int':\n            case 'bigint':\n            case 'tinyint':\n                return { type: Variable.Type.CONTINUOUS, name: column.name };\n            default:\n                return { type: Variable.Type.CATEGORICAL, name: column.name };\n        }\n    });\n}","import { Card, Variable, SerializedDataset } from 'src/generated-sources';\nimport { AnyLoc, Worksheet, Sample, CardResult, WorksheetRootCard, ComputationResult } from 'src/generated-sources';\nimport { Observable, combineLatest, NEVER } from 'rxjs';\nimport { map, distinctUntilChanged } from 'rxjs/operators';\nimport deepEqual from 'fast-deep-equal';\nimport { deepDistinctUntilChanged, combineLatestObject } from 'dku-frontend-core';\nimport { APIError } from '@core/dataiku-api/api-error';\nimport { columnsToVariables } from '../schema-utils';\nimport { resolveSmartName } from '@utils/loc';\n\n\n// Store the results of card\nexport interface CachedComputedCard {\n    cardParams: Card;\n    cardResult: CardResult;\n    sampleId: string;\n}\n\n// Store state related to the current worksheet\nexport interface State {\n    // Pointer to the (maybe not yet loaded) worksheet\n    worksheetLoc?: AnyLoc;\n\n    // Temporary worksheet containing pending user modifications (not fixed up yet)\n    // - The 'dirtyWorksheet' is updated by user actions\n    // - The WorksheetSaver will take care of updating the 'worksheet' (after it has been saved & fixed)\n    dirtyWorksheet?: Worksheet;\n\n    // Current worksheet (fixed up by the backend & consistent with current results)\n    // - This worksheet is never impacted by user actions directly\n    // - It is updated by the WorksheetSaver or WorksheetLoader processes only\n    worksheet?: Worksheet;\n\n    // Details about the current sample\n    // - Managed by the SampleLoader process\n    // - Note that the sample is only asked if necessary (ie. when there are cards to compute or explicitely requested)\n    sample?: Sample;\n\n    // Card which should require focus (when a card is focused => we scroll to id)\n    // - 'focusedCardId' is set when a top level card is newly added\n    // - When card is displayed in the UI with results, the component triggers a scroll\n    // - After scroll is done, the component will reset the 'focusedCardId'\n    focusedCardId?: string;\n\n    // Store the results of each top level cards (instead of working with a global WorksheetRootCardResult)\n    // - 'results' are generated by the WorksheetComputer process\n    // - 'results' **MUST** be consistent with the cards of the current 'worksheet' at all time\n    results: { [cardId: string]: CachedComputedCard };\n\n    // List of card IDs which need to be computed\n    // - 'requestedCardIds' is driven by the CollapsingWatcher process (to compute expanded cards only)\n    requestedCardIds: string[];\n\n    // Store a worksheet-global error\n    // - Any process can push a worksheet-global error (eg. network error, backend failure, etc)\n    error?: APIError;\n\n    // Dataset associated to the worksheet\n    // - 'dataset' is managed by the DatasetLoader process\n    dataset?: SerializedDataset;\n\n    // Flag indicating that the sample has been requested\n    // (without this flag, the sample is not built automatically until there is a card to compute)\n    sampleExternallyRequested: boolean;\n}\n\nexport const INITIAL_STATE: State = {\n    requestedCardIds: [],\n    results: {},\n    sampleExternallyRequested: false\n};\n\nexport type Transition = (state: State) => State;\n\nexport type Process = Observable<Transition>;\n\n// Extract nested properties from the global worksheet state\nexport class StateSelectors {\n    constructor(public state$: Observable<State>) { }\n\n    getRequestedCards() {\n        return combineLatest([this.getRequestedCardIds(), this.getWorksheet()]).pipe(\n            map(([ids, worksheet]) => {\n                if (!worksheet) { return []; }\n                return worksheet.rootCard!.cards.filter(card => ids.includes(card.id));\n            }),\n            deepDistinctUntilChanged()\n        );\n    }\n\n    getCardsToCompute() {\n        return combineLatest([\n            this.getComputedCards(),\n            this.getRequestedCards()\n        ]).pipe(map(([computedCards, requestedCardIds]) => {\n            return requestedCardIds.filter((requestedCard) => {\n                const computedCard = computedCards[requestedCard.id];\n                return !computedCard || !deepEqual(computedCard.cardParams, requestedCard);\n            });\n        }));\n    }\n\n    getSample(): Observable<Sample | undefined> {\n        return this.state$.pipe(map(state => state.sample), deepDistinctUntilChanged());\n    }\n\n    isSampleExternallyRequested() : Observable<boolean> {\n        return this.state$.pipe(map(state => state.sampleExternallyRequested), deepDistinctUntilChanged());\n    }\n\n    getLoc(): Observable<AnyLoc | undefined> {\n        return this.state$.pipe(map(state => state.worksheetLoc), deepDistinctUntilChanged());\n    }\n\n    getWorksheetLoc(): Observable<AnyLoc | undefined> {\n        return this.state$.pipe(map(state => state.worksheetLoc), deepDistinctUntilChanged());\n    }\n\n    getWorksheet(): Observable<Worksheet | undefined> {\n        return this.state$.pipe(map(state => state.worksheet), deepDistinctUntilChanged());\n    }\n\n    getRootCard(): Observable<WorksheetRootCard | undefined> {\n        return this.getWorksheet().pipe(map(worksheet => worksheet && worksheet.rootCard!));\n    }\n\n    getRequestedCardIds(): Observable<string[]> {\n        return this.state$.pipe(map(state => state.requestedCardIds), deepDistinctUntilChanged());\n    }\n\n    getError(): Observable<APIError | undefined> {\n        return this.state$.pipe(map(state => state.error), distinctUntilChanged());\n    }\n\n    getDatasetLoc(): Observable<AnyLoc | undefined> {\n        return this.state$.pipe(\n            map(state => state.worksheet ? resolveSmartName(\n                state.worksheet.projectKey,\n                state.worksheet.dataSpec.inputDatasetSmartName\n            ) : undefined),\n            deepDistinctUntilChanged()\n        );\n    }\n\n    getDataset(): Observable<SerializedDataset | undefined> {\n        return this.state$.pipe(map(state => state.dataset), distinctUntilChanged());\n    }\n\n    getFocusedCardId(): Observable<string | undefined> {\n        return this.state$.pipe(map(state => state.focusedCardId), distinctUntilChanged());\n    }\n\n    getRootCardResults(): Observable<WorksheetRootCard.WorksheetRootCardResult | undefined> {\n        return combineLatestObject({\n            worksheet: this.getWorksheet(),\n            computedResults: this.getComputedResults()\n        }).pipe(\n            map(({ worksheet, computedResults }) => {\n                if (!worksheet) {\n                    return;\n                }\n                const fakeResultCard: WorksheetRootCard.WorksheetRootCardResult = {\n                    type: 'worksheet_root',\n                    // This is fake, backend cannot process multiple cards at once\n                    computationCount: -1,\n                    failedComputationsCount: -1,\n                    notComputedCount: -1,\n                    results: worksheet.rootCard!.cards.map((card): CardResult => {\n                        if (computedResults[card.id]) {\n                            return computedResults[card.id].cardResult;\n                        }\n                        return {\n                            type: 'unavailable',\n                            reason: CardResult.UnavailabilityReason.NOT_COMPUTED,\n                            // This is a fake result\n                            computationCount: -1,\n                            failedComputationsCount: -1,\n                            notComputedCount: -1\n                        };\n                    })\n                };\n\n                return fakeResultCard;\n            })\n        );\n    }\n\n    getComputationResults(v: any): Observable<ComputationResult> {\n        return NEVER;\n    }\n\n    getComputedResults() {\n        return this.state$.pipe(map(state => state.results));\n    }\n\n    getDataSpec() {\n        return this.getWorksheet().pipe(\n            map(worksheet => worksheet && worksheet.dataSpec),\n            deepDistinctUntilChanged()\n        );\n    }\n\n    getComputedCards() {\n        return this.state$.pipe(\n            map(state => state.results),\n            deepDistinctUntilChanged()\n        );\n    }\n\n    availableVariables(): Observable<Variable[]> {\n        return combineLatest([this.getSample(), this.getDataset()]).pipe(\n            map(([sample, dataset]) => {\n                const schemaSource = sample || dataset;\n                if (!schemaSource) {\n                    return [];\n                }\n                return columnsToVariables(schemaSource.schema.columns || []);\n            })\n        );\n    }\n}\n","import produce from 'immer';\nimport { CachedComputedCard, State, Transition, INITIAL_STATE } from './state';\nimport deepEqual from 'fast-deep-equal';\nimport { Worksheet, WorksheetRootCard, DataSpec, Card, Sample, SerializedDataset, AnyLoc, AbstractHeaderCard, GroupedCompiledCardWrapper, isAbstractHeaderCard } from 'src/generated-sources';\nimport { moveItemInArray } from '@angular/cdk/drag-drop';\nimport { resolveSmartName } from '@utils/loc';\n\nexport function setErrorTransition(error: any): Transition {\n    return state => ({ ...state, error });\n}\n\nexport function worksheetInitialLoadTransition(worksheet: Worksheet): Transition {\n    return () => ({\n        ...INITIAL_STATE,\n        worksheet,\n        worksheetLoc: { projectKey: worksheet.projectKey, id: worksheet.id! }\n    });\n}\n\nexport function worksheetSavedTransition(fixedWorksheet: Worksheet): Transition {\n    const allCardIdsInFixedWorksheet = fixedWorksheet.rootCard!.cards.map(card => card.id);\n\n    return state => produce(state, draft => {\n        for (const cardId in draft.results) {\n            if (!allCardIdsInFixedWorksheet.includes(cardId)) {\n                // Delete the results of a card if card isn't part of the worksheet anymore\n                delete draft.results[cardId];\n            }\n        }\n\n        for (const card of fixedWorksheet.rootCard!.cards) {\n            const computedCard = state.results[card.id];\n            if (computedCard && !deepEqual(computedCard.cardParams, card)) {\n                // Delete the results of a card if they are outdated\n                delete draft.results[card.id];\n            }\n        }\n\n        if (draft.worksheet) {\n            const previousDataSpec = draft.worksheet.dataSpec;\n            const newDataSpec = fixedWorksheet.dataSpec;\n            if (!deepEqual(previousDataSpec, newDataSpec)) {\n                // If dataspec has changed => clear current sample & current results\n                draft.sample = undefined;\n                draft.results = {};\n            }\n        }\n\n        draft.dirtyWorksheet = undefined;\n        draft.worksheet = fixedWorksheet;\n    });\n}\n\nexport function resultsReceivedTransition(computedCards: CachedComputedCard[]) {\n    return (state: State) => {\n        // Do NOT use immer to store the card results into the state because:\n        // - Results are (possibly) huge objects\n        // - Immer's diffing is can be slow\n        computedCards.forEach(receivedComputedCard => {\n            // Ignore if current sample doesn't match\n            if (!state.worksheet || !state.sample\n                || state.sample.id !== receivedComputedCard.sampleId) {\n                return;\n            }\n\n            // Store results if they correspond to the params of an existing top level card\n            for (const topLevelCard of state.worksheet.rootCard!.cards!) {\n                if (deepEqual(topLevelCard, receivedComputedCard.cardParams)) {\n                    const results = {\n                        ...state.results,\n                        [receivedComputedCard.cardParams.id]: receivedComputedCard\n                    };\n                    state = { ...state, results };\n                    break;\n                }\n            }\n        });\n\n        return state;\n    };\n}\n\nexport function resetFocusedCardTransition(): Transition {\n    return state => produce(state, draft => {\n        draft.focusedCardId = undefined;\n    });\n}\n\nexport function sampleLoadedTransition(sample: Sample): Transition {\n    return state => produce(state, draft => {\n        draft.sample = sample;\n\n        for (const cardId in draft.results) {\n            if (draft.results[cardId].sampleId !== sample.id) {\n                // Delete the results of a card if sample has been changed\n                delete draft.results[cardId];\n            }\n        }\n    });\n}\n\nexport function requestCardTransition(cardIds: string[]): Transition {\n    return state => produce(state, draft => {\n        draft.requestedCardIds = cardIds;\n    });\n}\n\nexport function renameWorksheetTransition(newName: string): Transition {\n    return state => produce(state, draft => {\n        if (draft.worksheet) {\n            draft.worksheet.name = newName || 'Unnamed worksheet'; // Speculative\n            draft.dirtyWorksheet = draft.worksheet;\n        }\n    });\n}\n\nexport function editRootCardTransition(rootCard: WorksheetRootCard, immediate?: boolean): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet) {\n            return;\n        }\n        draft.dirtyWorksheet = { ...draft.worksheet, rootCard };\n        if (immediate) {\n            draft.worksheet = draft.dirtyWorksheet;\n        }\n    });\n}\n\nexport function swapCardsTransition(previousIndex: number, currentIndex: number): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet) {\n            return;\n        }\n        // move it immediatly to keep GUI reactive even for big sheets\n        moveItemInArray(draft.worksheet.rootCard.cards, previousIndex, currentIndex);\n        // save the worksheet - as card ids are preserved, we should only save, not recompute\n        draft.dirtyWorksheet = {...draft.worksheet};\n    });\n}\n\nexport function swapColumnsTransition(cardId: string, previousIndex: number, currentIndex: number): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet) {\n            return;\n        }\n        // move it immediatly to keep GUI reactive even for big sheets\n        const draftCard = draft.worksheet.rootCard.cards.find(e => e.id === cardId) as AbstractHeaderCard;\n        moveItemInArray(draftCard.cards, previousIndex, currentIndex);\n        moveItemInArray(draftCard.xColumns, previousIndex, currentIndex);\n\n        const draftResults = draft.results[cardId].cardResult;\n        if (AbstractHeaderCard.isAbstractHeaderCardResult(draftResults)) {\n            moveItemInArray(draftResults.results, previousIndex, currentIndex);\n        } else if (GroupedCompiledCardWrapper.isGroupedCardResult(draftResults)) {\n            for (const c of draftResults.results) {\n                if (AbstractHeaderCard.isAbstractHeaderCardResult(c)) {\n                    moveItemInArray(c.results, previousIndex, currentIndex);\n                }\n            }\n        }\n        // save the worksheet - as card ids are preserved, we should only save, not recompute\n        draft.dirtyWorksheet = {...draft.worksheet};\n    });\n}\n\nexport function addTopLevelCardTransition(card: Card): Transition {\n    return addTopLevelCardsTransition([card]);\n}\n\nexport function addTopLevelCardsTransition(cards: Card[]): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet || !cards.length) {\n            return;\n        }\n        draft.dirtyWorksheet = produce(draft.worksheet, worksheetDraft => {\n            cards.forEach(card => worksheetDraft.rootCard!.cards.push(card))\n        });\n        draft.requestedCardIds.push(cards[0].id);\n        draft.focusedCardId = cards[0].id;\n    });\n}\n\nexport function editDataSpecTransition(dataSpec: DataSpec): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet) {\n            return;\n        }\n        draft.dirtyWorksheet = { ...draft.worksheet, dataSpec };\n        draft.dataset = undefined;\n        draft.sample = undefined;\n    });\n}\n\nexport function requestSample(): Transition {\n    return state => ({...state, sampleExternallyRequested: true });\n}\n\nexport function datasetLoaded(dataset: SerializedDataset): Transition {\n    return state => produce(state, draft => {\n        if (!draft.worksheet) {\n            return;\n        }\n        const receivedDatasetLoc: AnyLoc = { projectKey: dataset.projectKey, id: dataset.name };\n        const expectedDatasetLoc: AnyLoc = resolveSmartName(\n            draft.worksheet.projectKey,\n            draft.worksheet.dataSpec.inputDatasetSmartName\n        );\n        if (!deepEqual(receivedDatasetLoc, expectedDatasetLoc)) {\n            return;\n        }\n        draft.dataset = dataset;\n    });\n}\n\nexport function loadWorksheetTransition(projectKey: string, id: string): Transition {\n    return () => ({ ...INITIAL_STATE, worksheetLoc: { projectKey, id } });\n}\n","import { Sample, WorksheetRootCard, CardResult } from 'src/generated-sources';\nimport { of, combineLatest, EMPTY, race, merge, from } from 'rxjs';\nimport { map, switchMap, catchError, pairwise, filter, distinctUntilChanged, skip, takeUntil, withLatestFrom, debounceTime, tap } from 'rxjs/operators';\nimport deepEqual from 'fast-deep-equal';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { deepDistinctUntilChanged, auditMap, combineLatestObject } from 'dku-frontend-core';\nimport { getWorksheetObjectRef } from '../utils';\nimport { WaitingService } from '@core/overlays/waiting.service';\nimport { CollapsingService, CollapsibleTopLevelCard } from '../collapsing.service';\nimport { worksheetSavedTransition, setErrorTransition, sampleLoadedTransition, worksheetInitialLoadTransition, requestCardTransition, resultsReceivedTransition, datasetLoaded } from './transitions';\nimport { Process, StateSelectors } from './state';\nimport { ComputeService } from '../compute.service';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\nimport { getWorksheetStats } from '../card-utils';\n\n// Background processes\nexport class Processes {\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        private waitingService: WaitingService,\n        private collapsingService: CollapsingService,\n        private selectors: StateSelectors,\n        private computeService: ComputeService,\n        private wt1Service: WT1Service\n    ) { }\n\n    getAllProcesses() {\n        return merge(\n            this.worksheetComputer(),\n            this.worksheetLoader(),\n            this.sampleLoader(),\n            this.worksheetSaver(),\n            this.collapsingWatcher(),\n            this.datasetLoader()\n        );\n    }\n\n    worksheetSaver = (): Process => {\n        return combineLatest([\n            this.selectors.state$.pipe(\n                map(state => state.dirtyWorksheet),\n                distinctUntilChanged()\n            ),\n            this.selectors.getWorksheet().pipe(distinctUntilChanged())\n        ]).pipe(\n            filter(([dirtyWorksheet]) => !!dirtyWorksheet),\n            switchMap(([dirtyWorksheet, currentWorksheet]) => {\n                if (!dirtyWorksheet) {\n                    return EMPTY;\n                }\n\n                return this.DataikuAPI.statistics.save(dirtyWorksheet!).pipe(\n                    tap(savedWorksheet => {\n                        this.wt1Service.event('save-worksheet', getWorksheetStats(savedWorksheet));\n                    }),\n                    this.waitingService.bindSpinner(),\n                    map(savedWorksheet => worksheetSavedTransition(savedWorksheet)),\n                    catchError((err) => of(setErrorTransition(err)))\n                );\n            })\n        );\n    }\n\n    worksheetComputer = (): Process => {\n        const computeTrigger$ = combineLatest([\n            this.selectors.getCardsToCompute(),\n            this.selectors.getLoc(),\n            this.selectors.getSample()\n        ]).pipe(deepDistinctUntilChanged(), debounceTime(100));\n\n        const dataSpecChanged$ = this.selectors.getDataSpec().pipe(skip(1));\n        const worksheetLocChanged$ = this.selectors.getWorksheetLoc().pipe(skip(1));\n        const abortCondition$ = race(dataSpecChanged$, worksheetLocChanged$);\n\n        return computeTrigger$.pipe(\n            auditMap(([cards, loc, sample]) => {\n                if (!loc || !sample || cards.length === 0) {\n                    return EMPTY;\n                }\n                const fakeRootCard: WorksheetRootCard = {\n                    type: 'worksheet_root',\n                    cards,\n                    // This is a fake container card (backend can't compute Card[])\n                    confidenceLevel: 1,\n                    id: 'abc',\n                    showConfidenceInterval: true\n                };\n\n                return this.computeService.computeCard(fakeRootCard, sample.id, true).pipe(\n                    map(resp => {\n                        const rootCardResult = resp as WorksheetRootCard.WorksheetRootCardResult;\n                        return resultsReceivedTransition(rootCardResult.results.map((result, index) => ({\n                            cardParams: fakeRootCard.cards[index],\n                            cardResult: result,\n                            sampleId: sample.id\n                        })));\n                    }),\n                    catchError(err => {\n                        // Display error within cards\n                        const failedResults = cards.map(card => ({\n                            cardParams: card,\n                            cardResult: {\n                                type: 'unavailable',\n                                reason: CardResult.UnavailabilityReason.FAILURE,\n                                message: err && err.message ? err.message : 'Unexpected error'\n                            } as CardResult,\n                            sampleId: sample.id\n                        }));\n\n                        const transitions = [resultsReceivedTransition(failedResults)];\n\n                        // Display full error globally (except if failure is caused by user abort)\n                        if (err.errorType !== 'FutureAbort') {\n                            transitions.push(setErrorTransition(err));\n                        }\n                        return from(transitions);\n                    }),\n                    takeUntil(abortCondition$)\n                );\n            })\n        );\n    }\n\n    datasetLoader = (): Process => {\n        return combineLatest([\n            this.selectors.getDatasetLoc(),\n            this.selectors.getDataset().pipe(filter(dataset => !dataset)),\n        ]).pipe(\n            withLatestFrom(this.selectors.getWorksheetLoc()),\n            auditMap(([[datasetLoc, _], worksheetLoc]) => {\n                if (!datasetLoc || !worksheetLoc) {\n                    return EMPTY;\n                }\n\n                return this.DataikuAPI.datasets.get(datasetLoc.projectKey, datasetLoc.id, worksheetLoc.projectKey)\n                    .pipe(\n                        this.waitingService.bindSpinner(),\n                        map(dataset => datasetLoaded(dataset)),\n                        catchError((err) => of(setErrorTransition(err))),\n                    );\n            })\n        );\n    }\n\n    worksheetLoader = (): Process => {\n        return combineLatest([\n            this.selectors.getWorksheetLoc(),\n            this.selectors.getWorksheet()\n        ]).pipe(\n            deepDistinctUntilChanged(),\n            pairwise(),\n            filter(([[prevLoc, prevWorksheet], [newLoc, newWorksheet]]) => {\n                if (!prevLoc && newLoc && !newWorksheet) {\n                    // Worksheet not loaded yet\n                    return true;\n                }\n                if (prevLoc && newLoc && !deepEqual(prevLoc, newLoc)) {\n                    // Worksheet loc has changed\n                    return true;\n                }\n                // TODO: should we handle worksheet unloading (return to initial state?)\n                return false;\n            }),\n            map(([[prevLoc, prevWorksheet], [newLoc, newWorksheet]]) => newLoc!),\n            switchMap(({ projectKey, id }) =>\n                this.DataikuAPI.statistics.get(projectKey, id).pipe(\n                    this.waitingService.bindSpinner(),\n                    map(worksheet => worksheetInitialLoadTransition(worksheet)),\n                    catchError((err) => of(setErrorTransition(err)))\n                )\n            )\n        );\n    }\n\n    collapsingWatcher = (): Process => {\n        return this.selectors.getRootCard().pipe(\n            switchMap(rootCard => {\n                if (rootCard) {\n                    return combineLatest(\n                        rootCard.cards.map(card => {\n                            return this.collapsingService\n                                .watchIsCollapsed(new CollapsibleTopLevelCard(card.id))\n                                .pipe(map(collapsed => ({ id: card.id, collapsed })));\n                        })\n                    ).pipe(\n                        deepDistinctUntilChanged(),\n                        map(states => requestCardTransition(\n                            states\n                                .filter(({ collapsed }) => !collapsed)\n                                .map(({ id }) => id))\n                        )\n                    );\n                }\n                return EMPTY;\n            })\n        );\n    }\n\n    sampleLoader = (): Process => {\n        return combineLatestObject({\n            cardsToCompute: this.selectors.getCardsToCompute(),\n            sample: this.selectors.getSample(),\n            worksheet: this.selectors.getWorksheet(),\n            sampleExternallyRequested: this.selectors.isSampleExternallyRequested()\n        }).pipe(\n            // Only create a sample if needed (when there is a card to compute and no sample)\n            filter(({ cardsToCompute, sample, worksheet, sampleExternallyRequested }) =>\n                !sample && !!worksheet && (cardsToCompute.length > 0 || sampleExternallyRequested)\n            ),\n\n            // Ignore unrelated state changes\n            map(({ worksheet }) => ({\n                dataSpec: worksheet!.dataSpec,\n                sampleKey: getWorksheetObjectRef(worksheet!)\n            })),\n            deepDistinctUntilChanged(),\n\n            // Sample need to be retrieve or rebuild\n            switchMap(({ dataSpec, sampleKey }) => {\n                return this.DataikuAPI.statistics.currentSample(sampleKey, dataSpec)\n                    .pipe(\n                        switchMap(currentSampleResponse => {\n                            // Sample was already built\n                            if (currentSampleResponse) {\n                                return of(sampleLoadedTransition(currentSampleResponse));\n                            }\n\n                            // Otherwise build a new sample\n                            return this.DataikuAPI.statistics.rebuildSample(sampleKey, dataSpec)\n                                .pipe(\n                                    this.waitingService.bindOverlayAndWaitForResult<Sample>(),\n                                    map(newSample => sampleLoadedTransition(newSample))\n                                );\n                        }),\n                        this.waitingService.bindStaticOverlay('Preparing sample...')\n                    ).pipe(catchError((err) => of(setErrorTransition(err))));\n            })\n        );\n    }\n}\n","<div class=\"modal\">\n    <modal-header\n        [title]=\"'View JSON'\"\n        [hasBorder]=\"false\"\n    ></modal-header>\n    <div class=\"modal-body modal-body--tabs fixed-height500 flex\">\n        <mat-tab-group [(selectedIndex)]=\"selectedTabIndex\">\n            <mat-tab label=\"Card params\">\n                <pre class=\"result-box\">{{ paramsJson }}</pre>\n            </mat-tab>\n            <mat-tab label=\"Card results\">\n                <pre class=\"result-box\">{{ resultsJson }}</pre>\n            </mat-tab>\n            <mat-tab label=\"Computation\">\n                <pre class=\"result-box\">{{ computationJson }}</pre>\n            </mat-tab>\n            <mat-tab label=\"Computation results\">\n                <pre  class=\"result-box\" matTooltip=\"Retrieved from computation cache\">{{ computationResultsJson }}</pre>\n            </mat-tab>\n        </mat-tab-group>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\"\n                mat-raised-button\n                *ngIf=\"selectedTabIndex === 2 || selectedTabIndex === 3\"\n                (click)=\"debugComputation()\"\n                class=\"btn btn--text btn--secondary\">\n                Debugger\n            </button>\n            <button type=\"button\"\n                mat-raised-button\n                (click)=\"copyToClipboard()\"\n                class=\"btn btn--text btn--secondary\">\n                Copy to clipboard\n            </button>\n            <button\n                type=\"button\"\n                (click)=\"dialogRef.close()\"\n                class=\"btn btn--text btn--secondary\"\n                tabindex=\"-1\"\n            >\n                Close\n            </button>\n        </div>\n    </div>\n</div>\n","import { Component, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { Card, DebugCard } from 'src/generated-sources';\nimport { copyToClipboard } from '@utils/clipboard';\nimport { randomId } from '@utils/random';\n\nexport type DebugCardModalComponentInput = DebugCard.DebugCardResult & { addTopLevelCard: (card: Card) => void };\n@Component({\n    selector: 'debug-card-modal',\n    templateUrl: './debug-card-modal.component.html',\n    styleUrls: ['./debug-card-modal.component.less']\n})\nexport class DebugCardModalComponent {\n    computationJson: string;\n    resultsJson: string;\n    paramsJson: string;\n    computationResultsJson: string;\n    selectedTabIndex: number;\n    copyString: string;\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) private data: DebugCardModalComponentInput,\n        public dialogRef: MatDialogRef<DebugCardModalComponent>\n    ) {\n        this.computationJson = JSON.stringify(data.computation, null, 4);\n        this.paramsJson = JSON.stringify(data.card, null, 4);\n        this.resultsJson = JSON.stringify(data.cardResult, null, 4);\n        this.computationResultsJson = JSON.stringify(data.computationResult, null, 4);\n\n        this.copyString = this.computationJson;\n    }\n\n    debugComputation() {\n        this.data.addTopLevelCard({\n            id: randomId(),\n            type: 'playground',\n            rawComputation: this.computationJson\n        });\n        this.dialogRef.close();\n    }\n\n    copyToClipboard() {\n        let text: string;\n        switch (this.selectedTabIndex) {\n            case 0:\n                text = this.paramsJson;\n                break;\n            case 1:\n                text = this.resultsJson;\n                break;\n            case 2:\n                text = this.computationJson;\n                break;\n            case 3:\n                text = this.computationResultsJson;\n                break;\n            default:\n                throw new Error('Unhandled tab index');\n        }\n        copyToClipboard(text);\n    }\n}\n","export function copyToClipboard(text: string) {\n    const tempInput = document.createElement('textarea');\n    tempInput.style.position = 'absolute';\n    tempInput.style.left = '-1000px';\n    tempInput.style.top = '-1000px';\n    tempInput.value = text;\n    document.body.appendChild(tempInput);\n    try {\n        tempInput.select();\n        document.execCommand('copy');\n    } catch (err) {\n        throw new Error(`Unable to copy to clipboard ${err}`);\n    } finally {\n        document.body.removeChild(tempInput);\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { Card, CardResult } from 'src/generated-sources';\nimport { Observable, of, concat } from 'rxjs';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { WaitingService } from '@core/overlays/waiting.service';\nimport { switchMap } from 'rxjs/operators';\nimport { isFullyComputed } from './card-utils';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class ComputeService {\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        private waitingService: WaitingService\n    ) { }\n\n    // Compute a card and return up to two CardResults\n    // 1- First from the backend cache (fast but maybe incomplete)\n    // 2- From Python if (1) was incomplete (slow)\n    //\n    // Note that only (2) is returned if 'useCache' is set to false\n    computeCard(card: Card, sampleId: string, useCache: boolean): Observable<CardResult> {\n        return this.DataikuAPI.statistics.computeResults(card, useCache, sampleId)\n            .pipe(\n                this.waitingService.bindOverlayAndWaitForResult(),\n                switchMap(cardResult => {\n                    if (isFullyComputed(cardResult)) {\n                        return of(cardResult);\n                    }\n                    return concat(\n                        of(cardResult),\n                        this.DataikuAPI.statistics.computeResults(card, false, sampleId).pipe(\n                            this.waitingService.bindOverlayAndWaitForResult()\n                        )\n                    );\n                }),\n                this.waitingService.bindStaticOverlay()\n            );\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { formatDate } from '@angular/common';\n\nexport abstract class WT1Service {\n    abstract event(type: string, params: { [index: string]: any }): void;\n    abstract configure(args: {\n        dipInstanceId?: string;\n        licenseKind?: string;\n        distrib?: string;\n        distribVersion?: string;\n        registrationChannel?: string;\n        isAutomation?: string;\n        version?: string;\n        login?: string;\n        udr?: boolean;\n    }): void;\n}\n\n@Injectable()\nexport class StandaloneWT1Service extends WT1Service {\n    private configured = false;\n    private enabled = true;\n    private dlid: string;\n    private unconfiguredEvents: any[] = [];\n    private wt1Queue: any[];\n\n    private dkuHashCode(value: string): number {\n        let hash = 0;\n        let char: number;\n        if (value.length === 0) {\n            return hash;\n        }\n        for (let i = 0; i < value.length; i++) {\n            char = value.charCodeAt(i);\n            // tslint:disable-next-line: no-bitwise\n            hash = ((hash << 5) - hash) + char;\n            // tslint:disable-next-line: no-bitwise\n            hash |= 0; // Convert to 32bit integer\n        }\n        return hash;\n    }\n\n    configure(args: {\n        dipInstanceId?: string;\n        licenseKind?: string;\n        distrib?: string;\n        distribVersion?: string;\n        registrationChannel?: string;\n        isAutomation?: string;\n        version?: string;\n        login?: string;\n        udr?: boolean;\n    }): void {\n        this.dlid = (Math.random().toString(36) + '00000000000000000').slice(2, 12);\n        this.wt1Queue = (window as any)._wt1Q = [];\n        if (args.dipInstanceId) {\n            this.wt1Queue.push(['setVisitorParam', 'dipInstanceId', args.dipInstanceId]);\n        }\n        if (args.licenseKind) {\n            this.wt1Queue.push(['setVisitorParam', 'dssLicenseKind', args.licenseKind]);\n        }\n        if (args.distrib) {\n            this.wt1Queue.push(['setVisitorParam', 'bkdDistrib', args.distrib]);\n        }\n        if (args.distribVersion) {\n            this.wt1Queue.push(['setVisitorParam', 'bkdDistribVersion', args.distribVersion]);\n        }\n        if (args.registrationChannel) {\n            this.wt1Queue.push(['setVisitorParam', 'regChannel', args.registrationChannel]);\n        }\n        this.wt1Queue.push(['setVisitorParam', 'isAutomation', args.isAutomation]);\n        this.wt1Queue.push(['setVisitorParam', 'dssVersion', args.version || 'unknown']);\n        if (args.login) {\n            this.wt1Queue.push(['setSessionParam', 'dssUser', this.dkuHashCode(args.login)]);\n            this.wt1Queue.push(['setVisitorParam', 'vdssUser', this.dkuHashCode(args.login)]);\n        }\n        if (!args.udr || (window as any).devInstance) {\n            this.enabled = false;\n        }\n        this.configured = true;\n        if (this.enabled) {\n            this.unconfiguredEvents.forEach(event => this.wt1Queue.push(event));\n            // Load the JS library that will read _wt1Q array\n            (() => {\n                const script = document.createElement('script');\n                script.src = '//tracker.dataiku.com/js/track.js';\n                script.type = 'text/javascript';\n                script.async = true;\n                document.head.appendChild(script);\n            })();\n        }\n    }\n\n    event(type: string, params: { [index: string]: any } = {}): void {\n        // When params contains object litterals, class instances we must\n        // serialize them before sending them to the event queue.\n        for (let key in params) {\n            if (params.hasOwnProperty(key)) {\n                const value = params[key];\n\n                if (Object.prototype.toString.call(value) === '[object Object]') {\n                    params[key] = JSON.stringify(value);\n                }\n            }\n        }\n\n        if ((window as any).devInstance) {\n            const formattedDate = formatDate(new Date(), 'HH:mm:ss.SSS', 'en-US', 'UTC');\n            // tslint:disable-next-line: no-console\n            console.debug('[' + formattedDate + '] WT1: ' + type, params);\n        }\n        if (!this.enabled) {\n            return;\n        }\n        params.type = type;\n        params.dlid = this.dlid;\n\n        if (!this.configured) {\n            // store the event while the service is not configured\n            this.unconfiguredEvents.push(['trackEvent', params]);\n        } else {\n            // otherwise push the event in the queue, the JS lib will handle it\n            this.wt1Queue.push(['trackEvent', params]);\n        }\n    }\n}\n\n@Injectable()\nexport class LegacyWT1Service extends WT1Service {\n    configure(args: {\n        dipInstanceId?: string;\n        licenseKind?: string;\n        distrib?: string;\n        distribVersion?: string;\n        registrationChannel?: string;\n        isAutomation?: string;\n        version?: string;\n        login?: string;\n        udr?: boolean;\n    }): void {\n        console.warn('Cannot configure WT1 service when configured to use the AngularJS service');\n    }\n\n    event(type: string, params: { [index: string]: any } = {}): void {\n        // Retrive the WT1 AngularJS service referenced in window (no configuration needed)\n        const wt1Svc = (window as any).WT1SVC;\n        if (!wt1Svc) {\n            console.warn('WT1 AngularJS service is not found');\n        } else {\n            wt1Svc.event(type, params);\n        }\n    }\n}\n","import { Injectable, OnDestroy, Inject } from '@angular/core';\nimport { Card, WorksheetRootCard, DataSpec, Insight, CardResult } from 'src/generated-sources';\nimport { BehaviorSubject, Observable, merge, Subject, combineLatest, EMPTY } from 'rxjs';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { withLatestFrom, first, switchMap } from 'rxjs/operators';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { WaitingService } from '@core/overlays/waiting.service';\nimport { CollapsingService } from '../collapsing.service';\nimport { Transition, INITIAL_STATE } from './state';\nimport { Processes } from './processes';\nimport { StateSelectors } from './state';\nimport {\n    editRootCardTransition, addTopLevelCardTransition, addTopLevelCardsTransition,editDataSpecTransition,\n    resetFocusedCardTransition, loadWorksheetTransition, setErrorTransition, requestSample,\n    renameWorksheetTransition, swapCardsTransition, swapColumnsTransition as swapHeaderCardColumnsTransition\n} from './transitions';\nimport { IScope } from 'angular';\nimport { catchAPIError, ErrorContext, APIError } from '@core/dataiku-api/api-error';\nimport { DebugCardModalComponent, DebugCardModalComponentInput } from '../worksheet/debug-card-modal/debug-card-modal.component';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { ComputeService } from '@features/eda/compute.service';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\nimport { DEFAULT_TAGGABLE_OBJECT_FIELDS } from '@utils/dss-defaults';\nimport { FutureWatcherService } from 'dku-frontend-core';\n\n\n@UntilDestroy()\n@Injectable()\nexport class WorksheetContextService extends SampleContextService implements OnDestroy, ErrorContext {\n    // Worksheet state\n    private state$ = new BehaviorSubject(INITIAL_STATE);\n\n    // Mutations triggered by user actions\n    private transitions$ = new Subject<Transition>();\n\n    // Convenient state selectors\n    private selectors = new StateSelectors(this.state$);\n\n    // Expose a few selectors publicly\n    public getError = this.selectors.getError.bind(this.selectors);\n    public getWorksheet = this.selectors.getWorksheet.bind(this.selectors);\n    public getRootCard = this.selectors.getRootCard.bind(this.selectors);\n    public getSample = this.selectors.getSample.bind(this.selectors);\n    public getDataSpec = this.selectors.getDataSpec.bind(this.selectors);\n    public getRootCardResults = this.selectors.getRootCardResults.bind(this.selectors);\n    public getFocusedCardId = this.selectors.getFocusedCardId.bind(this.selectors);\n    public availableVariables = this.selectors.availableVariables.bind(this.selectors);\n\n    // Actions on the worksheet\n    resetFocusedCardTransition() {\n        this.transitions$.next(resetFocusedCardTransition());\n    }\n\n    editRootCard(rootCard: WorksheetRootCard, immediate?: boolean) {\n        this.transitions$.next(editRootCardTransition(rootCard, immediate));\n    }\n\n    swapCards(previousIndex: number, currentIndex: number) {\n        this.transitions$.next(swapCardsTransition(previousIndex, currentIndex));\n    }\n\n    swapHeaderCardColumns(cardId: string, previousIndex: number, currentIndex: number) {\n        this.transitions$.next(swapHeaderCardColumnsTransition(cardId, previousIndex, currentIndex));\n    }\n\n    forceLoadSample() {\n        this.transitions$.next(requestSample());\n    }\n\n    addTopLevelCard(card: Card) {\n        this.transitions$.next(addTopLevelCardTransition(card));\n    }\n\n    addTopLevelCards(cards: Card[]) {\n        this.transitions$.next(addTopLevelCardsTransition(cards));\n    }\n\n    editDataSpec(dataSpec: DataSpec) {\n        this.transitions$.next(editDataSpecTransition(dataSpec));\n    }\n\n    loadWorksheet(projectKey: string, id: string) {\n        this.transitions$.next(loadWorksheetTransition(projectKey, id));\n    }\n\n    editWorksheetName(newName: string) {\n        this.transitions$.next(renameWorksheetTransition(newName));\n    }\n\n    pushError(error?: APIError) {\n        this.transitions$.next(setErrorTransition(error));\n    }\n\n    // Actions outside the worksheet\n    debugCard(card: Card) {\n        this.runInteractiveQuery({type: 'debug_card', card}).pipe(\n            this.waitingService.bindStaticOverlay(),\n            untilDestroyed(this)\n        ).subscribe(debugCardResult => {\n            let inputData: DebugCardModalComponentInput = {\n                ...debugCardResult,\n                // Callback to create cards in the worksheet\n                addTopLevelCard: newCard => this.addTopLevelCard(newCard)\n            };\n            this.modalsService.open(DebugCardModalComponent, inputData, ModalShape.NARROW).catch(() => { })\n        });\n    }\n\n    computeCard(card: Card): Observable<CardResult | undefined> {\n        return this.computeCardWithErrorContext(card, this);\n    }\n\n    computeCardWithErrorContext(card: Card, errorContext: ErrorContext): Observable<CardResult | undefined> {\n        return combineLatest([\n            this.selectors.getWorksheet(),\n            this.selectors.getSample()\n        ]).pipe(\n            first(),\n            switchMap(([worksheet, sample]) =>\n                worksheet && sample ? this.computeService.computeCard(card, sample.id, false)\n                    .pipe(catchAPIError(errorContext)) : EMPTY\n            )\n        );\n    }\n\n    // Startup\n    constructor(\n        DataikuAPI: DataikuAPIService,\n        futureWatcherService: FutureWatcherService,\n        private waitingService: WaitingService,\n        collapsingService: CollapsingService,\n        wt1Service: WT1Service,\n        private modalsService: ModalsService,\n        private computeService: ComputeService,\n        @Inject('CreateModalFromTemplate') private createOldModal: any,\n        @Inject('$rootScope') private $rootScope: IScope,\n    ) {\n        super(DataikuAPI, futureWatcherService);\n\n        const backgroundProcesses = new Processes(DataikuAPI, waitingService,\n            collapsingService, this.selectors, computeService, wt1Service);\n\n        merge(backgroundProcesses.getAllProcesses(), this.transitions$).pipe(\n            withLatestFrom(this.state$),\n            untilDestroyed(this)\n        ).subscribe(([reducer, state]) => {\n            const newState = reducer(state);\n            this.state$.next(newState);\n        });\n    }\n\n    createInsight(card: Card, name: string): void {\n        combineLatest([\n            this.getDataSpec(),\n            this.getWorksheet(),\n            this.computeCard(card)\n        ]).pipe(first(), catchAPIError(this))\n            .subscribe(([dataSpec, worksheet, cardResult]) => {\n                if (!dataSpec || !worksheet || !cardResult) {\n                    return;\n                }\n\n                const insight: Insight = {\n                    ...DEFAULT_TAGGABLE_OBJECT_FIELDS,\n                    params: { card, dataSpec },\n                    dashboardCreationId: 'will-be-replaced-by-modal',\n                    listed: true,\n                    name,\n                    projectKey: worksheet.projectKey,\n                    type: 'eda',\n                };\n                return this.createOldModal('/templates/dashboards/insights/create-and-pin-insight-modal.html',\n                    this.$rootScope, 'CreateAndPinInsightModalController', (newScope: any) => {\n                        newScope.init(insight, null, JSON.stringify(cardResult!));\n                        // An exception is raised when the user clicks cancel. Let's silently ignore it\n                    }).catch(() => { });\n            });\n    }\n\n    ngOnDestroy() {\n    }\n}\n","import { Injectable } from '@angular/core';\nimport d3 from 'd3';\nimport { Observable, BehaviorSubject } from 'rxjs';\nimport { distinctUntilChanged } from 'rxjs/operators';\n\nexport interface QaSelectorProperties {\n    [property: string]: string | null | undefined;\n}\n\nexport interface QaSelectors {\n    [key: string]: QaSelectorProperties;\n}\n\nexport function getAttributeName(key: string, property?: string) {\n    return 'data-qa-' + key + (property ? '--' + property : '');\n}\n\nexport function getCssSelector(key: string, property?: string, value?: string | null) {\n    let escapedValue = '';\n    if (value) {\n        escapedValue = '=\\'' + (value || '').replace('\\'', '\\\\') + '\\'';\n    }\n    return '[' + getAttributeName(key, property) + escapedValue + ']';\n}\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class QaSelectorService {\n    private enabled$ = new BehaviorSubject(false);\n    private colorMap: { [key: string]: string } = {};\n    private colorGenerator = function* colorGenerator() {\n        while (true) {\n            for (const color of d3.scale.category20().range()) {\n                yield d3.hsl(color).darker().toString();\n            }\n        }\n    }();\n\n    constructor() {\n        // Make toggleQaSelectors() globally available\n        (window as any).toggleQaSelectors = (flag: boolean) => this.enabled$.next(flag);\n    }\n\n    public getColorForSelector(key: string) {\n        if (!(key in this.colorMap)) {\n            this.colorMap[key] = this.colorGenerator.next().value as string;\n        }\n        return this.colorMap[key];\n    }\n\n    public get isOverlayEnabled(): Observable<boolean> {\n        return this.enabled$.pipe(distinctUntilChanged());\n    }\n}\n","<ng-container *ngIf=\"displayedData\">\n    <div\n        [style.width.px]=\"overlayWidth\"\n        [style.height.px]=\"overlayHeight\"\n        [style.boxShadow]=\"boxShadow\"\n    >\n    </div>\n    <div class=\"selectors\">\n        <div\n            *ngFor=\"let item of displayedData\"\n            [style.color]=\"item.color\"\n        >\n            <b>{{ item.selector }}</b>\n            <br>\n            <span *ngFor=\"let child of item.derivedSelectors\">\n                {{ child }}\n                <br>\n            </span>\n        </div>\n    </div>\n</ng-container>\n","import { Component, ChangeDetectionStrategy, ChangeDetectorRef, OnDestroy } from '@angular/core';\nimport { QaSelectorService, QaSelectors, getCssSelector } from './qa-selector.service';\nimport { ReplaySubject, timer, combineLatest } from 'rxjs';\nimport { switchMapTo } from 'rxjs/operators';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { OverlayRef } from '@angular/cdk/overlay';\n\nexport interface InputData {\n    qa: QaSelectors;\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'qa-selector-overlay',\n    templateUrl: './qa-selector.component.html',\n    styleUrls: ['./qa-selector.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class QaSelectorComponent implements OnDestroy {\n    displayedData?: {\n        selector: string,\n        color: string,\n        derivedSelectors: string[]\n    }[];\n    element?: HTMLElement;\n    boxShadow: string;\n    overlayWidth: number;\n    overlayHeight: number;\n    element$ = new ReplaySubject<HTMLElement>(1);\n    overlayRef$ = new ReplaySubject<OverlayRef>(1);\n\n    constructor(\n        private changeDetectorRef: ChangeDetectorRef,\n        private qaSelectorService: QaSelectorService) {\n        // Reposition & resize every second\n        // (this is slow but this is a dev-only tool)\n        timer(0, 1000).pipe(\n            switchMapTo(combineLatest([this.element$, this.overlayRef$])),\n            untilDestroyed(this)\n        ).subscribe(([element, overlayRef]) => {\n            // Update position (CDK)\n            overlayRef.updatePosition();\n\n            // Update size (manual)\n            const size = element.getBoundingClientRect();\n            this.overlayWidth = size.width;\n            this.overlayHeight = size.height;\n            changeDetectorRef.markForCheck();\n        });\n    }\n\n    setElementAndOverlayRef(element: HTMLElement, overlayRef: OverlayRef) {\n        this.element$.next(element);\n        this.overlayRef$.next(overlayRef);\n    }\n\n    ngOnDestroy() {\n    }\n\n    setData(qa: QaSelectors) {\n        this.displayedData = Object.keys(qa).map(key => ({\n            selector: getCssSelector(key),\n            color: this.qaSelectorService.getColorForSelector(key),\n            derivedSelectors: Object.keys(qa[key])\n                .map(attribute => getCssSelector(key, attribute, qa[key][attribute]))\n        }));\n\n        this.boxShadow = this.displayedData\n            .map(({ color }, index) => `0 0 0 ${5 * (1 + index)}px ${color}`)\n            .join(', ');\n\n        this.changeDetectorRef.markForCheck();\n    }\n}\n","import { Directive, Input, ElementRef, OnChanges, OnDestroy, ComponentRef, OnInit } from '@angular/core';\nimport { QaSelectors, getAttributeName, QaSelectorService } from './qa-selector.service';\nimport { Overlay, OverlayConfig, OverlayRef } from '@angular/cdk/overlay';\nimport { QaSelectorComponent } from './qa-selector.component';\nimport { ComponentPortal } from '@angular/cdk/portal';\nimport { fromLongPressEvent } from 'dku-frontend-core';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { fromEvent, EMPTY, merge, of } from 'rxjs';\nimport { switchMap } from 'rxjs/operators';\n\n/**\n * Two input formats are accepted:\n * - { elementName: { property1Name: property1Value, ... }, ...}\n * - \"elementName\" (equivalent to: {elementName:{}})\n */\nfunction expandInput(input: QaSelectors | string): QaSelectors {\n    if (typeof input === 'string') {\n        return { [input]: {} };\n    }\n    return input;\n}\n\n@UntilDestroy()\n@Directive({\n    selector: '[qa]'\n})\nexport class QaSelectorDirective implements OnChanges, OnDestroy, OnInit {\n    // User provided input (accept multiple formats, see expandInput())\n    @Input() qa: QaSelectors | string;\n\n    // Expanded input, canonical format\n    qaSelectors: QaSelectors = {};\n\n    overlayRef?: OverlayRef;\n    componentRef?: ComponentRef<QaSelectorComponent>;\n\n    constructor(\n        private el: ElementRef<HTMLElement>,\n        private overlay: Overlay,\n        private qaSelectorService: QaSelectorService) { }\n\n    ngOnInit() {\n        this.qaSelectorService.isOverlayEnabled.pipe(\n            switchMap(flag => {\n                if (!flag) { return of(null); }\n                return merge(\n                    fromLongPressEvent(this.el.nativeElement, 500, () => !this.isOverlayOpened),\n                    fromEvent(this.el.nativeElement, 'mouseleave')\n                );\n            }),\n            untilDestroyed(this)\n        ).subscribe(() => this.closeOverlay());\n\n        this.qaSelectorService.isOverlayEnabled.pipe(\n            switchMap((flag) => flag ? fromEvent(this.el.nativeElement, 'mouseenter') : EMPTY),\n            untilDestroyed(this),\n        ).subscribe(() => this.openOverlay());\n    }\n\n    ngOnDestroy() {\n        this.closeOverlay();\n    }\n\n    closeOverlay() {\n        if (this.isOverlayOpened) {\n            this.overlayRef!.dispose();\n            delete this.overlayRef;\n            delete this.componentRef;\n        }\n    }\n\n    get isOverlayOpened() {\n        return !!this.overlayRef;\n    }\n\n    openOverlay() {\n        if (this.isOverlayOpened) {\n            // Already opened\n            return;\n        }\n        const positionStrategy = this.overlay.position()\n            .flexibleConnectedTo(this.el.nativeElement)\n            .withPositions([{\n                originX: 'start',\n                originY: 'top',\n                overlayX: 'start',\n                overlayY: 'top'\n            }]);\n\n        const config = new OverlayConfig();\n        config.positionStrategy = positionStrategy;\n        config.hasBackdrop = false;\n        config.scrollStrategy = this.overlay.scrollStrategies.reposition();\n        config.panelClass = 'overlay-no-pointer-events';\n        this.overlayRef = this.overlay.create(config);\n        const portal = new ComponentPortal(QaSelectorComponent);\n        this.componentRef = this.overlayRef!.attach(portal) as ComponentRef<QaSelectorComponent>;\n        this.componentRef.instance.setData(this.qaSelectors);\n        this.componentRef.instance.setElementAndOverlayRef(this.el.nativeElement, this.overlayRef);\n        this.componentRef.changeDetectorRef.detectChanges();\n    }\n\n    ngOnChanges() {\n        this.qaSelectors = expandInput(this.qa);\n        Object.keys(this.qaSelectors).forEach(key => {\n            const attributes = expandInput(this.qaSelectors)[key];\n            this.el.nativeElement.setAttribute(getAttributeName(key), '');\n            Object.keys(attributes).forEach(attribute => {\n                const htmlAttrValue = attributes[attribute] || '';\n                this.el.nativeElement.setAttribute(getAttributeName(key, attribute), htmlAttrValue);\n            });\n        });\n    }\n}\n","import { Directive, HostListener, Input } from '@angular/core';\nimport { WT1Service } from './wt1.service';\n\n@Directive({\n    selector: '[wt1Click]'\n})\nexport class Wt1ClickDirective {\n    @Input() wt1Click: string;\n\n    constructor(private wt1Service: WT1Service) { }\n\n    @HostListener('click') onClick(): void {\n        this.wt1Service.event('clicked-item', { 'item-id': this.wt1Click });\n    }\n}\n","<ng-container *ngIf=\"datasetStatus$ | async as status\">\n    <div [ngSwitch]=\"status\" *ngIf=\"datasetFullInfo$ | async as datasetFullInfo\" class=\"dataset-error\">\n        <div *ngSwitchCase=\"DatasetStatus.BEING_BUILT\">\n            <h4 class=\"dataset-error__header\">\n                <p>This dataset is being built.</p>\n                <a class=\"btn btn--secondary btn--large\"\n                (click)=\"goToJob(datasetFullInfo.currentBuildState.beingBuilt[0].jobId)\" ng-if=\"datasetFullInfo.directAccessOnOriginal\">See job</a>\n            </h4>\n        </div>\n        \n        <div *ngSwitchCase=\"DatasetStatus.ABOUT_TO_BE_BUILT\">\n            <h4 class=\"dataset-error__header\">\n                <p>This dataset is about to be built.</p>\n                <a class=\"btn btn--secondary btn--large\" ui-sref=\"goToJob(datasetFullInfo.currentBuildState.aboutToBeBuilt[0].jobId)\" ng-if=\"datasetFullInfo.directAccessOnOriginal\">See job</a>\n            </h4>\n        </div>\n        \n        <div *ngSwitchCase=\"DatasetStatus.EMPTY_BUILD\">\n            <h4 class=\"dataset-error__header\">\n                <p>This dataset is empty. You should build it.</p>\n                <a class=\"btn btn--success btn--large\" (click)=\"buildOpenDataset(datasetFullInfo.dataset.projectKey, datasetFullInfo.dataset.name)\"> <i class=\"icon-play\"></i>&nbsp;Build</a>\n            </h4>\n        </div>\n        \n        <div *ngSwitchCase=\"DatasetStatus.FAILED_BUILD\">\n            <h4 class=\"dataset-error__header\">\n                <p>Build this dataset</p>\n                <a class=\"btn btn--success btn--large\" (click)=\"buildOpenDataset(datasetFullInfo.dataset.projectKey, datasetFullInfo.dataset.smartName)\"> <i class=\"icon-play\"></i>&nbsp;Build</a>\n            </h4>\n        </div>\n    </div>\n</ng-container>","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, Inject, OnDestroy } from '@angular/core';\nimport { ObservableInput } from 'observable-input';\nimport { Observable, combineLatest } from 'rxjs';\nimport { APIError, EnhancedSerializedError } from '@core/dataiku-api/api-error';\nimport { InfoMessage } from 'dku-frontend-core';\nimport { NavigatorService } from 'src/generated-sources';\nimport { map } from 'rxjs/operators';\nimport { IScope } from 'angular';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\nenum DatasetStatus {\n    NONE = 'NONE',\n    BEING_BUILT = 'BEING_BUILT',\n    ABOUT_TO_BE_BUILT = 'ABOUT_TO_BE_BUILT',\n    EMPTY_BUILD = 'EMPTY_BUILD',\n    FAILED_BUILD = 'FAILED_BUILD'\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'dataset-error-cta',\n    templateUrl: './dataset-error-cta.component.html',\n    styleUrls: ['./dataset-error-cta.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DatasetErrorCtaComponent {\n    @Input('apiError') @ObservableInput() apiError$: Observable<APIError | null>;\n    @Input('datasetFullInfo') @ObservableInput() datasetFullInfo$: Observable<NavigatorService.DatasetFullInfo>;\n\n    DatasetStatus = DatasetStatus;\n    datasetStatus$: Observable<DatasetStatus>;\n\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        @Inject('CreateModalFromTemplate') private createOldModal: any,\n        @Inject('$rootScope') private $rootScope: IScope,\n        @Inject('$state') private $state: any\n    ) {\n        /*\n            This is essentially a port of the AngularJS datasetErrorCta service\n            (datasets/directives.js).\n\n            AngularJS Template: templates/datasets/fragments/dataset-error-cta.html\n        */\n        this.datasetStatus$ = combineLatest([this.apiError$, this.datasetFullInfo$])\n            .pipe(map(([apiError, info]) => {\n                const managed = !!info?.dataset?.managed;\n                const beingBuilt = !!info?.currentBuildState?.beingBuilt?.length;\n                const aboutToBeBuilt = !!info?.currentBuildState?.aboutToBeBuilt?.length;\n                const neverBuiltBuildable = !!info?.buildable && info?.lastBuild === undefined;\n                const buildable = !!info?.buildable;\n                const isNotUnauthorized = apiError?.errorType !== 'com.dataiku.dip.exceptions.UnauthorizedException';\n                const requiresDatasetBuild = [\n                  InfoMessage.FixabilityCategory.USER_CONFIG_DATASET,\n                  InfoMessage.FixabilityCategory.USER_CONFIG_OR_BUILD\n                ].includes((apiError as EnhancedSerializedError)?.fixability);\n                let status = DatasetStatus.NONE;\n\n                if (apiError && !this.ignoreError(apiError)) {\n                    if (beingBuilt && isNotUnauthorized) {\n                        status = DatasetStatus.BEING_BUILT;\n                    } else if (aboutToBeBuilt && isNotUnauthorized) {\n                        status = DatasetStatus.ABOUT_TO_BE_BUILT;\n                    } else if (!beingBuilt && !aboutToBeBuilt && managed) {\n                        if (neverBuiltBuildable) {\n                            status = DatasetStatus.EMPTY_BUILD;\n                        } else if (buildable && requiresDatasetBuild) {\n                            status = DatasetStatus.FAILED_BUILD;\n                        }\n                    }\n                }\n \n                return status;\n            }));\n    }\n\n    buildOpenDataset(projectKey: string, datasetName: string) {\n        this.DataikuAPI.datasets.get(projectKey, datasetName, projectKey)\n            .pipe(untilDestroyed(this))\n            .subscribe((dataset) => {\n                this.createOldModal('/templates/datasets/build-dataset-modal.html',\n                this.$rootScope, 'BuildDatasetController', (newScope: any) => {\n                    newScope.jobStartRedirects = true;\n                    newScope.dataset = dataset;\n                }, 'build-dataset-modal').catch(() => { });\n        });\n    }\n\n    goToJob(jobId: string) {\n        this.$state.go('projects.project.jobs.job', {\n            jobId\n        }, { location: 'replace' })\n    }\n\n    ignoreError(apiError: APIError | null) {\n        const ignorableErrorTypes = ['FutureAbort'];\n        return apiError && ignorableErrorTypes.indexOf(apiError.errorType) >= 0;\n    }\n}\n","import {\n    Directive,\n    Input,\n    Output,\n    HostListener,\n    EventEmitter,\n    EmbeddedViewRef,\n    ViewContainerRef,\n    OnDestroy,\n    OnInit,\n    ElementRef\n} from '@angular/core';\nimport { TemplatePortal } from '@angular/cdk/portal';\nimport { DkuPopoverComponent } from './dku-popover/dku-popover.component';\nimport { Overlay, OverlayRef, OverlayConfig, ConnectedPosition } from '@angular/cdk/overlay';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n@UntilDestroy()\n@Directive({\n    selector: '[dkuPopoverTrigger]'\n})\nexport class DkuPopoverTriggerDirective implements OnInit, OnDestroy {\n    @Input('dkuPopoverTrigger') public dkuPopover: DkuPopoverComponent;\n    @Input() public anchor: any;\n    @Output() public hide: EventEmitter<any> = new EventEmitter<any>();\n\n    private opened = false;\n    private templatePortal: TemplatePortal;\n    private viewRef: EmbeddedViewRef<any>;\n    private overlayRef: OverlayRef;\n    private preventCloseList = ['.bootstrap-select'];\n\n    constructor(\n        private elementRef: ElementRef,\n        private viewContainerRef: ViewContainerRef,\n        private overlay: Overlay\n    ) {\n    }\n\n    @HostListener('click', ['$event'])\n    onClick() {\n        if (this.opened) {\n            this.hidePopup();\n        } else {\n            this.showPopup();\n        }\n    }\n\n    ngOnInit() {\n        // If no anchor is specified as input, we set the current element as a default anchor\n        if (!this.anchor) {\n            this.anchor = this.elementRef.nativeElement;\n        }\n\n        this.preventCloseList.push('.' + this.dkuPopover.className);\n\n        // Create a template portal\n        this.templatePortal = new TemplatePortal(\n            this.dkuPopover.popupTemplate,\n            this.viewContainerRef\n        );\n\n        // if the popover was closed from within the dku popover,\n        // the trigger directive needs to be notified in order\n        // to properly dispose of the overlay.\n        this.dkuPopover.notifyTrigger$.pipe(\n            untilDestroyed(this)\n        ).subscribe((hide) => {\n            if (hide) {\n                this.hidePopup();\n            }\n        });\n    }\n\n    ngOnDestroy() {\n        if (this.opened) {\n            this.hidePopup();\n            // element stays on page during navigation...\n            const popups = document.querySelectorAll('.' + this.dkuPopover.className);\n            if (popups && popups.length) {\n                popups.forEach(_ => _.remove());\n            }\n        }\n    }\n\n    showPopup() {\n        const positions = [\n            { originX: 'start', originY: 'bottom', overlayX: 'start', overlayY: 'top' },\n            { originX: 'end', originY: 'bottom', overlayX: 'end', overlayY: 'top' },\n            { originX: 'start', originY: 'top', overlayX: 'start', overlayY: 'bottom' },\n            { originX: 'end', originY: 'top', overlayX: 'end', overlayY: 'bottom' }\n        ] as ConnectedPosition[];\n\n        const config = new OverlayConfig({\n            hasBackdrop: true,\n            backdropClass: 'cdk-overlay-transparent-backdrop',\n            positionStrategy: this.overlay.position()\n                .flexibleConnectedTo(this.elementRef)\n                .withPositions(positions)\n        });\n\n        this.overlayRef = this.overlay.create(config);\n        this.viewRef = this.overlayRef.attach(this.templatePortal);\n\n        this.overlayRef.backdropClick().subscribe(() => {\n            this.hidePopup();\n        });\n\n        this.dkuPopover.show();\n        this.opened = true;\n    }\n\n    hidePopup() {\n        this.overlayRef.dispose();\n        this.dkuPopover.hide(false);\n        this.opened = false;\n        this.hide.emit();\n    }\n}\n","<ng-template #popupTemplate>\n    <div [ngClass]=\"className\">\n        <ng-container *ngIf=\"!hidden\">\n            <ng-content></ng-content>\n        </ng-container>\n    </div>\n</ng-template>\n","import { Component, ViewChild, OnDestroy, TemplateRef } from '@angular/core';\nimport { BehaviorSubject } from 'rxjs';\n\n@Component({\n    selector: 'dku-popover',\n    templateUrl: './dku-popover.component.html',\n    styleUrls: ['./dku-popover.component.less']\n})\nexport class DkuPopoverComponent implements OnDestroy {\n    @ViewChild('popupTemplate', {static: true})\n    public popupTemplate: TemplateRef<any>;\n    public hidden = false;\n\n    private notifyTriggerSource = new BehaviorSubject<boolean>(false);\n    public notifyTrigger$ = this.notifyTriggerSource.asObservable();\n\n    public className = 'dku-popover';\n\n    show() {\n        this.hidden = false;\n    }\n\n    hide(closedWithinPopover = true) {\n        this.hidden = true;\n\n        if (closedWithinPopover) {\n            this.notifyTriggerSource.next(true);\n        }\n    }\n\n    ngOnDestroy() {\n        this.hidden = false;\n    }\n}\n","import { Directive, Input, Injector, ElementRef } from \"@angular/core\";\nimport { UpgradeComponent } from '@angular/upgrade/static';\nimport { StreamableDatasetSelection } from 'src/generated-sources';\nimport { fairAny } from 'dku-frontend-core';\n\n@Directive({\n    selector: 'angularjs-dataset-selection-ordering'\n})\nexport class AngularjsDatasetSelectionOrderingDirective extends UpgradeComponent {\n    @Input() selection: StreamableDatasetSelection;\n    @Input() datasetSupportsReadOrdering: fairAny;\n    @Input() shakerState: fairAny;\n\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1DatasetSelectionOrderingDirective', elementRef, injector);\n    }\n}","import { OnInit, Component, Input, Inject } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\nimport { StreamableDatasetSelection } from 'src/generated-sources';\n\n@Component({\n    selector: 'dataset-selection-ordering-fields',\n    template: `<angularjs-dataset-selection-ordering [selection]=\"selection\" [datasetSupportsReadOrdering]=\"boundDatasetSupportsReadOrdering\"\n    [shakerState]=\"shakerState\" ></angularjs-dataset-selection-ordering>`\n})\nexport class DatasetSelectionOrderingFieldsComponent{\n    @Input() selection: StreamableDatasetSelection;\n    @Input() datasetFullInfo: fairAny;\n\n    boundDatasetSupportsReadOrdering: Function;\n\n    shakerState: {\n        withSteps: true;\n    };\n\n    constructor(@Inject('DatasetUtils') private DatasetUtils: fairAny) {\n        this.boundDatasetSupportsReadOrdering = this.datasetSupportsReadOrdering.bind(this);\n    }\n\n    datasetSupportsReadOrdering(): boolean {\n        return this.datasetFullInfo && this.DatasetUtils.supportsReadOrdering(this.datasetFullInfo.dataset);\n    };\n\n}","import { Directive, Renderer2, ElementRef, HostListener, forwardRef } from '@angular/core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\n\n@Directive({\n    selector: '[commaSeparatedView]',\n    providers: [{\n        provide: NG_VALUE_ACCESSOR,\n        useExisting: forwardRef(() => CommaSeparatedViewDirective),\n        multi: true\n    }]\n})\nexport class CommaSeparatedViewDirective implements ControlValueAccessor {\n    onChange: any = () => {};\n    onTouch: any = () => {};\n\n    constructor(private renderer: Renderer2,\n        private element: ElementRef) {\n    }\n    @HostListener('input', ['$event.target.value'])\n    input(value: string) {\n        this.onChange(value.split(',').filter(Boolean));\n    }\n    writeValue(value: any): void {\n        const element = this.element.nativeElement;\n        this.renderer.setProperty(element, 'value', value?value.join(','):'');\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n\n    registerOnTouched(fn: any): void {\n        this.onTouch = fn;\n    }\n\n}\n","import { Directive, Renderer2, ElementRef, HostListener, forwardRef } from '@angular/core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\n\n@Directive({\n    selector: '[forceInteger]',\n    providers: [{\n        provide: NG_VALUE_ACCESSOR,\n        useExisting: forwardRef(() => ForceIntegerDirective),\n        multi: true\n    }]\n})\nexport class ForceIntegerDirective implements ControlValueAccessor {\n    onChange: any = () => {};\n    onTouch: any = () => {};\n\n    constructor(private renderer: Renderer2,\n        private element: ElementRef) {\n    }\n    @HostListener('input', ['$event.target.value'])\n    input(value: string | null) {\n        this.onChange(parseInt(value || '0', 10));\n    }\n    writeValue(value: string): void {\n        const element = this.element.nativeElement;\n        this.renderer.setProperty(element, 'value', value);\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n\n    registerOnTouched(fn: any): void {\n        this.onTouch = fn;\n    }\n\n}\n","<form\n[formGroup]=\"form\"\n>\n\n<fieldset class=\"control-group\">\n    <label for=\"\" class=\"control-label\">Use partitions</label>\n    <div class=\"controls\">\n        <dku-bs-select-form-control\n            formControlName=\"partitionSelectionMethod\"\n            ngOptions=\"v.key as v.value for v in list\"\n            [list]=\"preparedPartitionSelectionMethods\"\n            [optionsDescriptions]=\"SamplingData.partitionSelectionMethodsDesc\"\n            [layout]=\"'list'\"\n        >\n        </dku-bs-select-form-control>\n    </div>\n</fieldset>\n<fieldset *ngIf=\"form.value.partitionSelectionMethod == 'SELECTED'\" class=\"control-group\">\n    <span class=\"control-label\">Partitions</span>\n    <div class=\"controls\">\n        <span *ngIf=\"partitionsList == null || partitionsList!.length == 0\">\n            <input type=\"text\" formControlName=\"selectedPartitions\" commaSeparatedView style=\"display:inline-block; width: 176px\"/>\n            <button *ngIf=\"partitionsList === null\" class=\"btn btn--secondary\" (click)=\"loadPartitionsList()\">\n                <i class=\"icon-list\" style=\"cursor:pointer\" toggle=\"tooltip\" title=\"Retrieve list\" data-placement=\"bottom\"></i>\n            </button>\n        </span>\n        <span class=\"help-inline\" *ngIf=\"partitionsList == null || partitionsList!.length == 0\">Comma-separated list</span>\n        <span class=\"help-inline\" *ngIf=\"partitionsList != null && partitionsList!.length == 0\">(No partition built)</span>\n\n        <span *ngIf=\"partitionsList != null && partitionsList!.length > 0 \">\n            <dku-bs-select-form-control formControlName=\"selectedPartitions\" ngOptions=\"part for part in list\"\n                [list]=\"partitionsList\" dataActionsBox=\"true\" dataLiveSearch=\"true\" dkuMultiple=\"multiple\"\n                [layout]=\"'list'\"\n            >\n            </dku-bs-select-form-control>\n        </span>\n    </div>\n</fieldset>\n<fieldset *ngIf=\"form.value.partitionSelectionMethod == 'LATEST_N'\" class=\"control-group\">\n    <label class=\"control-label\">Nb. partitions</label>\n    <div class=\"controls\">\n        <input type=\"number\" forceInteger min=\"1\" max=\"100000000\" formControlName=\"latestPartitionsN\"/>\n    </div>\n</fieldset>\n\n</form>","import { Component, Input, Inject, OnInit, EventEmitter, Output, ChangeDetectorRef, OnChanges, SimpleChanges } from '@angular/core';\nimport { ChangeDetectionStrategy } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { fairAny, isNumeric } from 'dku-frontend-core';\nimport { FormBuilder, FormControl, Validators } from '@angular/forms';\nimport { DatasetSelection } from 'src/generated-sources';\nimport { resolveSmartName } from '@utils/loc';\n\n@Component({\n    selector: 'partition-selection',\n    templateUrl: './partition-selection.component.html',\n    styleUrls: ['./partition-selection.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class PartitionSelectionComponent implements OnInit, OnChanges {\n    @Input() partitionSelectionMethod: DatasetSelection.PartitionSelectionMethod | null;\n    @Input() selectedPartitions: string[] | null;\n    @Input() latestPartitionsN: number | null;\n    @Input() projectKey: string;\n    @Input() datasetSmartName: string;\n    @Output() partitionSelectionMethodChange = new EventEmitter<DatasetSelection.PartitionSelectionMethod | null>();\n    @Output() selectedPartitionsChange = new EventEmitter<string[] | null>();\n    @Output() latestPartitionsNChange = new EventEmitter<number | null>();\n\n    form = this.formBuilder.group({\n        partitionSelectionMethod: new FormControl(undefined, [Validators.required]),\n        selectedPartitions: new FormControl(undefined, [Validators.required]),\n        latestPartitionsN: new FormControl(undefined, [Validators.required])\n    });\n\n\n    partitionsList: any[] | null = null;\n\n    constructor(\n        private formBuilder: FormBuilder,\n        private dataikuAPIService: DataikuAPIService,\n        private changeDetectorRef: ChangeDetectorRef,\n        @Inject('SamplingData') public SamplingData: fairAny) {\n    }\n\n    ngOnInit(): void {\n        this.form.get('partitionSelectionMethod')!.valueChanges.subscribe(\n            value => this.partitionSelectionMethodChange.emit(value)\n        );\n\n        this.form.get('selectedPartitions')!.valueChanges.subscribe(\n            value => {\n                this.selectedPartitionsChange.emit((typeof value === \"string\") ? [value] : value);\n            }\n        );\n\n        this.form.get('latestPartitionsN')!.valueChanges.subscribe(\n            value => this.latestPartitionsNChange.emit(value)\n        );\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        this.form.patchValue({\n            partitionSelectionMethod: this.partitionSelectionMethod,\n            selectedPartitions: this.selectedPartitions,\n            latestPartitionsN: this.latestPartitionsN\n        });\n    }\n\n    loadPartitionsList(): void {\n        const nameInfo = resolveSmartName(this.projectKey, this.datasetSmartName);\n        this.dataikuAPIService.datasets.listPartitionsWithName(\n            nameInfo.projectKey,\n            nameInfo.id)\n            .subscribe(\n                (response: any) => {\n                    this.partitionsList = response.sort((a: any, b: any) => {\n                        if (isNumeric(a) && isNumeric(b)) {\n                            return (b as number) - (a as number);\n                        } else {\n                            return a === b ? 0 : (a < b ? 1 : -1);\n                        }\n                    });\n                    this.changeDetectorRef.detectChanges();\n                });\n    }\n\n    get preparedPartitionSelectionMethods(): any[] {\n        const ret: any[] = [];\n        for (const x of this.SamplingData.partitionSelectionMethods) {\n            ret.push({\n                key: x[0],\n                value: x[1]\n            });\n        }\n        return ret;\n    }\n}\n","import { Pipe, PipeTransform, Inject } from '@angular/core';\nimport { FilterDesc } from 'src/generated-sources';\nimport { encodeHTML } from 'entities';\nimport { fairAny } from 'dku-frontend-core';\n\n\n@Pipe({\n    name: 'filterNiceRepr',\n    pure: true\n})\nexport class FilterNiceReprPipe implements PipeTransform {\n    constructor(@Inject(\"Expressions\") private Expressions: fairAny) { }\n\n    translateConds(input: FilterDesc) {\n        if(!input.uiData) {\n            return [];\n        }\n        return input.uiData.conditions!.map((cond) => {\n            var op = this.Expressions.getOperatorByName(cond[\"operator\"]);\n            if (!op) return \"Unknown op: \" + encodeHTML(cond[\"operator\"]);\n            if (op.repr) return op.repr(cond);\n            else return encodeHTML(JSON.stringify(cond));\n        });\n    }\n\n    anumLiteral(value: any): string {\n        return \"<span class='alphanum-literal flex'>\" + encodeHTML(value) + \"</span>\";\n    }\n\n    transform(input: FilterDesc): string {\n        if (!input || !input.enabled || !input.uiData) return \"No filter\";\n\n        if (input.uiData.mode == \"&&\") {\n            var condStr = this.translateConds(input);\n            if (condStr.length == 1) return condStr[0];\n            else return condStr.map(function (x) { return \"(\" + x + \")\" }).join(\" AND \");\n        } else if (input.uiData.mode == \"||\") {\n            var condStr = this.translateConds(input);\n            if (condStr.length == 1) return condStr[0];\n            else return condStr.map(function (x) { return \"(\" + x + \")\" }).join(\" OR \");\n        } else if (input.uiData.mode == \"CUSTOM\") {\n            return \"<span class='noflex'>Formula: </span>\" + this.anumLiteral(input.expression);\n        } else if (input.uiData.mode == \"SQL\") {\n            return \"<span class='noflex'>SQL: </span>\" + this.anumLiteral(input.expression);\n        }\n        return '';\n    }\n}\n","<button\n    class=\"btn header-button trigger subnav-page-header-name has-caret\"\n    [dkuPopoverTrigger]=\"popover\"\n    [wt1Click]=\"'worksheets_sampling-button'\"\n>\n    Sampling and filtering\n    <b class=\"caret\"></b>\n</button>\n<dku-popover #popover>\n    <div class=\"dkuform-horizontal\">\n        <form [formGroup]=\"form\" class=\"sample-settings\" [class.form--disabled]=\"readOnly\">\n            <fieldset [disabled]=\"readOnly\">\n                <div class=\"control-group\">\n                    <label\n                        for=\"samplingMethod\"\n                        class=\"control-label control-dropdown-label\"\n                    >\n                        Sampling method\n                    </label>\n                    <div class=\"controls\">\n                        <dku-bs-select-form-control\n                            ngOptions=\"x[0] as x[1] for x in list\"\n                            [list]=\"samplingMethods\"\n                            [layout]=\"'list'\"\n                            [optionsDescriptions]=\"samplingMethodDescriptions\"\n                            formControlName=\"samplingMethod\"\n                        ></dku-bs-select-form-control>\n                    </div>\n                </div>\n                <partition-selection *ngIf=\"partitioned\" [(partitionSelectionMethod)]=\"form.value.partitionSelectionMethod\"\n                    [(selectedPartitions)]=\"form.value.selectedPartitions\"\n                    [(latestPartitionsN)]=\"form.value.latestPartitionsN\"\n                    [projectKey]=\"projectKey\"\n                    [datasetSmartName]=\"dataSpec.inputDatasetSmartName\"></partition-selection>\n\n                <div class=\"control-group\" *ngIf=\"form.value.samplingMethod == 'HEAD_SEQUENTIAL'\">\n                    <label\n                        for=\"maxRecords\"\n                        class=\"control-label control-dropdown-label\"\n                    >\n                        Number of records\n                    </label>\n                    <div class=\"controls\">\n                        <input\n                            formControlName=\"maxRecords\"\n                            name=\"maxRecords\"\n                            min=\"1\"\n                            type=\"number\"\n                        >\n                    </div>\n                </div>\n                <div class=\"control-group\" *ngIf=\"form.value.samplingMethod == 'RANDOM_FIXED_RATIO'\">\n                    <label\n                        for=\"targetRatio\"\n                        class=\"control-label control-dropdown-label\"\n                    >\n                        Ratio\n                    </label>\n                    <div class=\"controls\">\n                        <input\n                            formControlName=\"targetRatio\"\n                            name=\"targetRatio\"\n                            min=\"0\"\n                            max=\"1\"\n                            step=\"0.1\"\n                            type=\"number\"\n                        >\n                    </div>\n                </div>\n                <div class=\"control-group\">\n                    <h2\n                        class=\"settings-section-title\"\n                    >\n                    Filtering\n                </h2>\n                <fieldset>\n                    <label>\n                        <input\n                            formControlName=\"enableFiltering\"\n                            name=\"enableFiltering\"\n                            type=\"checkbox\"\n                            id=\"enableFiltering\"\n                            class=\"form__checkbox\"\n                            (change)=\"onFilteringChange()\"\n                        >\n                        Enable filtering\n                    </label>\n                </fieldset>\n                </div>\n                <div *ngIf=\"form.value.enableFiltering\" [innerHTML]=\"form.value.filter | filterNiceRepr\" (click)=\"onFilteringChange()\" class=\"shaker-preview filter-expression\" matTooltip=\"Click to edit\" matTooltipPosition=\"right\"></div>\n\n                <dataset-selection-ordering-fields [datasetFullInfo]=\"datasetFullInfo\" [selection]=\"form.value.datasetSelectionForOrdering\" class=\"form__dataset-selection common-styles-only\">\n\n                </dataset-selection-ordering-fields>\n\n\n                <div class=\"control-group\">\n                    <h2\n                        class=\"settings-section-title\"\n                    >\n                        Advanced\n                    </h2>\n                    <fieldset>\n                        <label\n                            for=\"autoRefreshSample\"\n                            class=\"control-label control-dropdown-label\"\n                        >\n                            <input\n                                formControlName=\"autoRefreshSample\"\n                                name=\"autoRefreshSample\"\n                                id=\"autoRefreshSample\"\n                                class=\"form__checkbox\"\n                                type=\"checkbox\"\n                            >\n                            Auto Refresh Sample\n                        </label>\n                    </fieldset>\n                </div>\n\n                <div #closeButton *ngIf=\"!readOnly\">\n                    <button\n                        class=\"btn btn--primary pull-right\"\n                        style=\"margin-right: 10px\"\n                        [disabled]=\"form.invalid\"\n                        (click)=\"save()\"\n                    >\n                        Save and refresh sample\n                    </button>\n                </div>\n            </fieldset>\n        </form>\n    </div>\n</dku-popover>\n","import { Component, Input, EventEmitter, Output, SimpleChanges, OnChanges, ChangeDetectionStrategy, ViewChild, Inject, ChangeDetectorRef, OnDestroy } from '@angular/core';\nimport { DataSpec } from 'src/generated-sources';\nimport { FormBuilder, FormControl, Validators } from '@angular/forms';\nimport deepEqual from 'fast-deep-equal';\nimport { DkuPopoverComponent } from '@app/widgets/dropdowns/dku-popover/dku-popover.component';\nimport { fairAny } from 'dku-frontend-core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { IScope } from 'angular';\nimport _ from 'lodash';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { resolveSmartName } from '@utils/loc';\n\n/*\n    This component is equivalent to the \"sampling-tab\", minus the DatasetSelectionToMemTable.maxSizeMb,\n    as we do not support this type of dataset selection iun EDA.\n*/\n@UntilDestroy()\n@Component({\n    selector: 'sample-settings',\n    templateUrl: './sample-settings.component.html',\n    styleUrls: [\n        '../../shared-styles/forms.less',\n        '../../shared-styles/header-button.less',\n        './sample-settings.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SampleSettingsComponent implements OnChanges, OnDestroy {\n    @Input() dataSpec: DataSpec;\n    @Input() readOnly: boolean;\n    @Input() projectKey: string;\n    @Output() dataSpecChange = new EventEmitter<DataSpec>();\n    @ViewChild('popover', { static: true }) popover: DkuPopoverComponent;\n\n    partitioned: boolean = false;\n\n    samplingMethods: string[];\n    samplingMethodDescriptions: string[];\n\n    datasetFullInfo: fairAny;\n\n    form = this.formBuilder.group({\n        samplingMethod: new FormControl(undefined, [Validators.required]),\n        maxRecords: new FormControl(undefined, [Validators.required, Validators.min(1)]),\n        autoRefreshSample: new FormControl(undefined, [Validators.required]),\n        enableFiltering: new FormControl(undefined, [Validators.required]),\n        targetRatio: new FormControl(1, [Validators.required, Validators.min(0), Validators.max(1)]),\n        filter: new FormControl(undefined, [Validators.required]),\n        partitionSelectionMethod: new FormControl(undefined, [Validators.required]),\n        selectedPartitions: new FormControl(),\n        latestPartitionsN: new FormControl(),\n        datasetSelectionForOrdering: new FormControl(undefined, [Validators.required])\n    });\n\n    constructor(\n        private formBuilder: FormBuilder,\n        private DataikuAPI: DataikuAPIService,\n        @Inject('CreateModalFromTemplate') private createModal: fairAny,\n        @Inject('SamplingData') public SamplingData: fairAny,\n        @Inject('$rootScope') private $rootScope: IScope,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n        const methodCount = 3;\n\n        this.samplingMethods = this.SamplingData.streamSamplingMethods.slice(0, methodCount);\n        this.samplingMethodDescriptions = this.SamplingData.streamSamplingMethodsDesc.slice(0, methodCount);\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (changes.dataSpec) {\n            if (!changes.dataSpec.currentValue) {\n                this.partitioned = false;\n            } else {\n                const datasetLoc = resolveSmartName(this.projectKey, this.dataSpec.inputDatasetSmartName);\n                this.DataikuAPI.datasets\n                    .getFullInfo(this.projectKey, datasetLoc.projectKey, datasetLoc.id)\n                    .subscribe(\n                        response => {\n                            this.datasetFullInfo = response;\n                            this.partitioned = response.partitioned;\n                            this.changeDetectorRef.markForCheck();\n                        }\n                    );\n            }\n            if (!deepEqual(changes.dataSpec.currentValue, changes.dataSpec.previousValue)) {\n                this.reset();\n            }\n        }\n    }\n\n    reset() {\n        this.form.patchValue({\n            samplingMethod: this.dataSpec.datasetSelection.samplingMethod,\n            maxRecords: this.dataSpec.datasetSelection.maxRecords,\n            autoRefreshSample: this.dataSpec.autoRefreshSample,\n            enableFiltering: this.dataSpec.datasetSelection.filter!.enabled,\n            targetRatio: this.dataSpec.datasetSelection.targetRatio,\n            filter: this.dataSpec.datasetSelection.filter,\n            partitionSelectionMethod: this.dataSpec.datasetSelection.partitionSelectionMethod,\n            selectedPartitions: this.dataSpec.datasetSelection.selectedPartitions,\n            latestPartitionsN: this.dataSpec.datasetSelection.latestPartitionsN,\n            datasetSelectionForOrdering: _.cloneDeep(this.dataSpec.datasetSelection)\n        });\n    }\n\n    save() {\n        let selection;\n        switch (this.form.value.samplingMethod) {\n            case 'RANDOM_FIXED_RATIO':\n                selection = { targetRatio: this.form.value.targetRatio };\n                break;\n            case 'HEAD_SEQUENTIAL':\n                selection = { maxRecords: this.form.value.maxRecords };\n                break;\n            default:\n                selection = {};\n        }\n\n        this.dataSpecChange.emit({\n            ...this.dataSpec,\n            refreshTrigger: this.dataSpec.refreshTrigger + 1,\n            autoRefreshSample: this.form.value.autoRefreshSample,\n            datasetSelection: {\n                ...this.dataSpec.datasetSelection,\n                ...selection,\n                samplingMethod: this.form.value.samplingMethod,\n                filter: {\n                    ...this.form.value.filter,\n                    enabled: this.form.value.enableFiltering\n                },\n                targetRatio: this.form.value.targetRatio,\n                partitionSelectionMethod: this.form.value.partitionSelectionMethod,\n                ...(this.form.value.selectedPartitions && { selectedPartitions: this.form.value.selectedPartitions }),\n                latestPartitionsN: this.form.value.latestPartitionsN ? this.form.value.latestPartitionsN : 1,\n                ordering: {\n                    ...this.form.value.datasetSelectionForOrdering.ordering\n                }\n            },\n        });\n\n        this.popover.hide();\n    }\n\n    onFilteringChange() {\n        if (this.form.value.enableFiltering) {\n            const datasetLoc = resolveSmartName(this.projectKey, this.dataSpec.inputDatasetSmartName);\n            this.DataikuAPI.datasets.get(\n                datasetLoc.projectKey, datasetLoc.id, this.projectKey\n            ).pipe(untilDestroyed(this))\n                .subscribe(\n                    dataset => {\n                        const newScope: fairAny = this.$rootScope.$new();\n                        newScope.dataset = dataset;\n                        newScope.schema = dataset.schema,\n                            newScope.filter = _.cloneDeep(this.form.value.filter);\n                        newScope.ok = () => {\n                            newScope.filter.enabled = true;\n                            this.form.patchValue({ filter: newScope.filter });\n                            this.changeDetectorRef.markForCheck();\n                        };\n                        this.createModal('/templates/recipes/fragments/filter-modal.html', newScope);\n                    },\n                );\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<button\n    class=\"btn header-button trigger subnav-page-header-name has-caret\"\n    [dkuPopoverTrigger]=\"popover\"\n    [wt1Click]=\"'worksheets_confidence-level'\"\n>\n    Confidence level:\n    <span class=\"confidence-value\">{{ confidenceLevel | percent: '1.0-3' }}</span>\n    <b class=\"caret\"></b>\n</button>\n<dku-popover #popover>\n    <div class=\"control-group confidence-level\">\n        <form\n            [formGroup]=\"form\"\n            (ngSubmit)=\"save()\"\n            [class.form--disabled]=\"!canSave\"\n        >\n            <fieldset [disabled]=\"!canSave\">\n                <p>\n                    <i>\n                        Used to determine the confidence level of tests.\n                    </i>\n                </p>\n                <label>\n                    Confidence level\n                    <input\n                        type=\"number\"\n                        min=\"0.5\"\n                        max=\"0.99999\"\n                        step=\"0.00001\"\n                        formControlName=\"confidenceLevel\"\n                    >\n                </label>\n                <label>\n                    <input\n                        type=\"checkbox\"\n                        class=\"form__checkbox\"\n                        formControlName=\"showConfidenceInterval\"\n                    >\n                    Show confidence intervals\n                </label>\n                <p>\n                    <i>\n                        Confidence intervals are displayed in quantile tables and summary stats\n                    </i>\n                </p>\n            </fieldset>\n        </form>\n    </div>\n    <div #closeButton *ngIf=\"canSave\">\n        <button\n            class=\"btn btn--primary pull-right\"\n            [disabled]=\"form.invalid\"\n            (click)=\"save()\"\n        >\n            Save\n        </button>\n    </div>\n</dku-popover>\n","import { Component, Output, Input, EventEmitter, OnChanges, ChangeDetectionStrategy, ViewChild } from '@angular/core';\nimport { Card } from 'src/generated-sources';\nimport { FormControl, Validators, FormGroup } from '@angular/forms';\nimport { CardAction, CardActionType } from '../cards/events';\nimport { DkuPopoverComponent } from '@app/widgets/dropdowns/dku-popover/dku-popover.component';\nimport { hasConfidenceLevel } from '@features/eda/utils';\n\n@Component({\n    selector: 'edit-confidence-level-settings',\n    templateUrl: './edit-confidence-level-settings.component.html',\n    styleUrls: [\n        '../../shared-styles/forms.less',\n        '../../shared-styles/header-button.less',\n        './edit-confidence-level-settings.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class EditConfidenceLevelSettingsComponent implements OnChanges {\n    @Input() params: Card;\n    @Input() canSave = true;\n    @Output() action = new EventEmitter<CardAction>();\n    @ViewChild('popover') popover: DkuPopoverComponent;\n\n    form = new FormGroup({\n        confidenceLevel: new FormControl(undefined, [\n            Validators.required,\n            Validators.min(0.5),\n            Validators.max(0.99999)\n        ]),\n        showConfidenceInterval: new FormControl(undefined, [Validators.required])\n    });\n\n    ngOnChanges() {\n        if (this.params && hasConfidenceLevel(this.params)) {\n            this.form.patchValue({\n                confidenceLevel: this.params.confidenceLevel,\n                showConfidenceInterval: this.params.showConfidenceInterval,\n            });\n        }\n    }\n\n    save() {\n        if (this.canSave && this.form.valid) {\n            this.action.emit({\n                type: CardActionType.UPDATE,\n                newParams: { ...this.params, ...this.form.value }\n            });\n\n            this.popover.hide();\n        }\n    }\n\n    get confidenceLevel(): number {\n        return (this.params as any).confidenceLevel;\n    }\n}\n","<button\n    class=\"btn header-button trigger subnav-page-header-name\"\n    *ngIf=\"params.highlightFilter\"\n    [disabled]=\"readOnly\"\n    [matTooltip]=\"params.highlightFilter | filterName\"\n    (click)=\"dropHighlight()\"\n>\n    Selection:\n    <span class=\"selection-name\">\n        {{ params.highlightFilter | filterName }}\n    </span>\n    <i class=\"icon-dku-close\" *ngIf=\"!readOnly\"></i>\n</button>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter } from '@angular/core';\nimport { CardAction, CardActionType } from '../cards/events';\nimport { WorksheetRootCard } from 'src/generated-sources';\n\n\n@Component({\n    selector: 'highlight-settings',\n    templateUrl: './highlight-settings.component.html',\n    styleUrls: [\n        '../../shared-styles/header-button.less',\n        './highlight-settings.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class HighlightSettingsComponent {\n    @Input() params: WorksheetRootCard;\n    @Input() readOnly: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    dropHighlight() {\n        if (this.params.highlightFilter) {\n            this.action.emit({\n                type: CardActionType.UPDATE,\n                newParams: { ...this.params, highlightFilter: null }\n            });\n        }\n    }\n}\n","import { Input, Injector, ElementRef, Output, EventEmitter, Directive } from '@angular/core';\nimport { UpgradeComponent } from '@angular/upgrade/static';\nimport { ContainerExecSelection } from 'src/generated-sources';\n\n\n@Directive({\n    selector: 'container-selection-form'\n})\nexport class ContainerSelectionFormComponent extends UpgradeComponent {\n    @Input() selection: ContainerExecSelection;\n    @Output() selectionChange: EventEmitter<ContainerExecSelection>;\n\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1ContainerSelectionForm', elementRef, injector);\n    }\n}\n","<button class=\"btn header-button trigger subnav-page-header-name has-caret\" [dkuPopoverTrigger]=\"popover\"\n    [wt1Click]=\"'worksheets_container-selection'\">\n    <i class=\"icon-cogs\"></i>\n    <b class=\"caret\"></b>\n</button>\n<dku-popover #popover>\n    <div class=\"control-group\">\n        <h2 class=\"settings-section-title\">Containerized execution</h2>\n        <container-selection-form [(selection)]=\"selection\"></container-selection-form>\n    </div>\n    <div #closeButton *ngIf=\"!readOnly\">\n        <button class=\"btn btn--primary pull-right\" (click)=\"save()\">\n            Save\n        </button>\n    </div>\n</dku-popover>","import { Component, Output, Input, EventEmitter, OnChanges, ChangeDetectionStrategy, ViewChild, OnInit, SimpleChange, SimpleChanges } from '@angular/core';\nimport { DataSpec, ContainerExecSelection } from 'src/generated-sources';\nimport { DkuPopoverComponent } from '@app/widgets/dropdowns/dku-popover/dku-popover.component';\n\n@Component({\n    selector: 'container-settings',\n    templateUrl: './container-settings.component.html',\n    styleUrls: [\n        '../../shared-styles/forms.less',\n        '../../shared-styles/header-button.less',\n        './container-settings.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ContainerSettingsComponent implements OnChanges {\n    @Input() dataSpec: DataSpec;\n    @Input() readOnly = false;\n    @Output() dataSpecChange = new EventEmitter<DataSpec>();\n    @ViewChild('popover') popover: DkuPopoverComponent;\n    selection: ContainerExecSelection;\n\n    save() {\n        if (!this.readOnly) {\n            this.dataSpecChange.emit({\n                ... this.dataSpec,\n                containerSelection: this.selection\n            });\n            this.popover.hide();\n        }\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.dataSpec) {\n            this.selection = this.dataSpec.containerSelection;\n        }\n    }\n}\n","// Describes how the card body should be rendered.\nexport enum CardBodyRenderingMode {\n    // The card is embedded in larger header cards.\n    STAT_CARD,\n\n    // The card is a top level card within the worksheet.\n    TOP_LEVEL_CARD,\n\n    // The assisted data exploration wizard uses miniature cards.\n    MINIATURE_CARD\n}\n","import { transition, trigger, style, animate, state } from '@angular/animations';\n\n\n// Do not use in combination with *ngIf (it breaks state transition)\nexport const fadeInOutHeight = trigger('fadeInOut', [\n    state('opened', style({ opacity: 1, height: '*', willChange: 'height, opacity' })),\n    state('closed', style({ opacity: 0, height: '0px', willChange: 'height, opacity' })),\n\n    transition('opened => closed', animate('200ms ease-out')),\n    transition('closed => opened', animate('200ms ease-out'))\n]);\n","<form class=\"dkuform-modal-vertical\" id=\"config-form\" >\n    <div class=\"control-group\">\n        <label class=\"control-label\">Stats</label>\n        <div\n            class=\"controls\"\n            *ngFor=\"let stat of availableStatItems\"\n        >\n            <label>\n                <input\n                    [ngModel]=\"$any(localParams.compute)[stat.property]\"\n                    (ngModelChange)=\"toggleStat(stat.property, $event)\"\n                    type=\"checkbox\"\n                    [name]=\"stat.property\"\n                    class=\"form__checkbox\"\n                >\n                {{ stat.label }}\n            </label>\n        </div>\n    </div>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, EventEmitter, Output, SimpleChanges, OnChanges } from '@angular/core';\nimport { UnivariateSummaryStatsCard, BivariateSummaryStatsCard, Variable } from 'src/generated-sources';\nimport produce from 'immer';\n\n\n// Create types derived from J2TS-generated models in order to get some type safety\n// - Prevent typos on property names\n// - Cannot detect missing items\ntype SupportedCards = UnivariateSummaryStatsCard | BivariateSummaryStatsCard;\n\ntype StatItem = (\n    {\n        cardType: UnivariateSummaryStatsCard['type'],\n        property: keyof UnivariateSummaryStatsCard.StatsToCompute,\n        variableType?: Variable.Type\n    }\n    | {\n        xVariableType?: Variable.Type,\n        yVariableType?: Variable.Type,\n        cardType: BivariateSummaryStatsCard['type'],\n        property: keyof BivariateSummaryStatsCard.StatsToCompute\n    }\n) & { label: string };\n\nexport type StatKey = string & Partial<StatItem>['property'];\n\nconst allStatItems: StatItem[] = [\n    {\n        property: 'totalCount',\n        cardType: 'univariate_summary',\n        label: 'Total count'\n    },\n    {\n        property: 'mean',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Mean'\n    },\n    {\n        property: 'sum',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Sum'\n    },\n    {\n        property: 'median',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Median'\n    },\n    {\n        property: 'std',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Std Dev'\n    },\n    {\n        property: 'variance',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Variance'\n    },\n    {\n        property: 'skewness',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Skewness'\n    },\n    {\n        property: 'kurtosis',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Kurtosis'\n    },\n    {\n        property: 'sem',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Standard Error of the Mean'\n    },\n    {\n        property: 'completeCount',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'N finite'\n    },\n    {\n        property: 'nbEmpty',\n        variableType: Variable.Type.CATEGORICAL,\n        cardType: 'univariate_summary',\n        label: 'N empty'\n    },\n    {\n        property: 'zeroCount',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Zero count'\n    },\n    {\n        property: 'zeroRatio',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Zero ratio'\n    },\n    {\n        property: 'nonZeroRatio',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Non zero ratio'\n    },\n    {\n        property: 'iqr',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'IQR'\n    },\n    {\n        property: 'distinctCount',\n        cardType: 'univariate_summary',\n        label: 'N distinct'\n    },\n    {\n        property: 'nbNonEmpty',\n        cardType: 'univariate_summary',\n        variableType: Variable.Type.CATEGORICAL,\n        label: 'N non empty'\n    },\n    {\n        property: 'min',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Min'\n    },\n    {\n        property: 'max',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Max'\n    },\n    {\n        property: 'range',\n        variableType: Variable.Type.CONTINUOUS,\n        cardType: 'univariate_summary',\n        label: 'Range'\n    },\n    {\n        property: 'mode',\n        variableType: Variable.Type.CATEGORICAL,\n        cardType: 'univariate_summary',\n        label: 'Mode'\n    },\n    {\n        property: 'spearman',\n        cardType: 'bivariate_summary',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CONTINUOUS,\n        label: 'Spearman'\n    },\n    {\n        property: 'pearson',\n        cardType: 'bivariate_summary',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CONTINUOUS,\n        label: 'Pearson'\n    },\n    {\n        property: 'totalCount',\n        cardType: 'bivariate_summary',\n        label: 'Count'\n    },\n    {\n        property: 'covariance',\n        cardType: 'bivariate_summary',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CONTINUOUS,\n        label: 'Covariance'\n    },\n    {\n        property: 'kendallTau',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CONTINUOUS,\n        cardType: 'bivariate_summary',\n        label: 'Kendall Tau'\n    },\n    {\n        property: 'mutualInformation',\n        xVariableType: Variable.Type.CATEGORICAL,\n        yVariableType: Variable.Type.CATEGORICAL,\n        cardType: 'bivariate_summary',\n        label: 'Normalized mutual information'\n    },\n    {\n        property: 'completeCount',\n        cardType: 'bivariate_summary',\n        label: 'N finite'\n    },\n    {\n        property: 'chi2',\n        xVariableType: Variable.Type.CATEGORICAL,\n        yVariableType: Variable.Type.CATEGORICAL,\n        cardType: 'bivariate_summary',\n        label: 'Chi2',\n    },\n    {\n        // One-way ANOVA - usual case\n        property: 'oneWayAnova',\n        xVariableType: Variable.Type.CATEGORICAL,\n        yVariableType: Variable.Type.CONTINUOUS,\n        cardType: 'bivariate_summary',\n        label: 'One-way ANOVA',\n    },\n    {\n        // One-way ANOVA - symmetric case\n        property: 'oneWayAnova',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CATEGORICAL,\n        cardType: 'bivariate_summary',\n        label: 'One-way ANOVA',\n    },\n    {\n        // N-sample Mood - usual case\n        property: 'nSampleMood',\n        xVariableType: Variable.Type.CATEGORICAL,\n        yVariableType: Variable.Type.CONTINUOUS,\n        cardType: 'bivariate_summary',\n        label: 'N-Sample Mood',\n    },\n    {\n        // N-sample Mood - symmetric case\n        property: 'nSampleMood',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CATEGORICAL,\n        cardType: 'bivariate_summary',\n        label: 'N-Sample Mood',\n    },\n    {\n        // Kolmogorov-Smirnov - usual case\n        property: 'kolmogorovSmirnov',\n        xVariableType: Variable.Type.CATEGORICAL,\n        yVariableType: Variable.Type.CONTINUOUS,\n        cardType: 'bivariate_summary',\n        label: 'Kolmogorov-Smirnov',\n    },\n    {\n        // Kolmogorov-Smirnov - symmetric case\n        property: 'kolmogorovSmirnov',\n        xVariableType: Variable.Type.CONTINUOUS,\n        yVariableType: Variable.Type.CATEGORICAL,\n        cardType: 'bivariate_summary',\n        label: 'Kolmogorov-Smirnov',\n    },\n];\n\n// Determine if a stat is visible/configurable depending on card type & variable(s) type(s)\nfunction isItemDisplayed(params: SupportedCards, item: StatItem): boolean {\n    if (item.cardType !== params.type) {\n        return false;\n    }\n\n    if (item.cardType === 'bivariate_summary' && params.type === 'bivariate_summary') {\n        if (item.xVariableType && item.xVariableType !== params.xColumn.type) {\n            return false;\n        }\n        if (item.yVariableType && item.yVariableType !== params.yColumn.type) {\n            return false;\n        }\n    }\n\n    if (item.cardType === 'univariate_summary' && params.type === 'univariate_summary') {\n        if (item.variableType && item.variableType !== params.column.type) {\n            return false;\n        }\n    }\n\n    return true;\n}\n\n@Component({\n    selector: 'generic-summary-stats-card-config',\n    templateUrl: './generic-summary-stats-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/forms.less',\n        './generic-summary-stats-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class GenericSummaryStatsCardConfigComponent implements OnChanges {\n    @Input() params: SupportedCards;\n    @Output() paramsChange = new EventEmitter<SupportedCards>();\n\n    availableStatItems: StatItem[];\n    localParams: SupportedCards;\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.localParams = this.params;\n            this.availableStatItems = allStatItems\n                .filter(statItem => isItemDisplayed(this.params, statItem));\n        }\n    }\n\n    toggleStat(key: StatKey, flag: boolean) {\n        this.localParams = produce(this.localParams, draft => {\n            (draft.compute as any)[key] = flag;\n        });\n        this.paramsChange.emit(this.localParams);\n    }\n}\n","import { ValidatorFn } from '@angular/forms';\n\nexport class DkuValidators {\n    static float(): ValidatorFn {\n        return control => {\n            const value = control.value;\n            if (value == null || value.length === 0) {\n                // don't validate empty values to allow optional controls\n                return null;\n            }\n            return isNaN(value) ? { isFloat: false } : null;\n        };\n    }\n}\n","<table *ngIf=\"editedItems && editedItems.length; else empty\">\n    <tbody>\n        <tr *ngFor=\"let item of editedItems; let i = index\" class=\"boundary__row\"><td class=\"boundary__value\">{{item}}</td><td class=\"boundary__separator\"></td><td (click)=\"remove(i)\" class=\"boundary__remove\"><i class=\"icon-trash\"></i></td></tr>\n    </tbody>\n</table>\n<ng-template #empty>\n    <p>(no value)</p>\n</ng-template>\n<div [formGroup]=\"addForm\">\n    <input type=\"number\" formControlName=\"value\" placeholder=\"Bin boundary to add\" (keydown.enter)=\"add($event)\">\n    <button type=\"button\" class=\"btn btn--primary\" (click)=\"add($event)\" [disabled]=\"addForm.invalid\">Add</button>\n</div>\n","import { Component, forwardRef } from '@angular/core';\nimport { FormGroup, FormBuilder, Validators, ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\nimport _ from 'lodash';\nimport { DkuValidators } from '@utils/dku-validators';\nimport produce from 'immer';\n\n\n@Component({\n    selector: 'simple-number-list',\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => SimpleNumberListComponent),\n            multi: true\n        }\n    ],\n    templateUrl: './simple-number-list.component.html',\n    styleUrls: ['./simple-number-list.component.less']\n})\nexport class SimpleNumberListComponent implements ControlValueAccessor {\n    editedItems: number[];\n\n    addForm: FormGroup;\n\n    onChange: Function;\n    onTouched: Function;\n\n    constructor(\n        private fb: FormBuilder\n    ) {\n        this.addForm = this.fb.group({\n            value: this.fb.control(null, [Validators.required, DkuValidators.float()])\n        });\n    }\n\n    add(event: Event) {\n        const newItem: number = parseFloat(this.addForm.controls.value.value);\n        if (!this.editedItems) { this.editedItems = []; }\n        this.editedItems = [...this.editedItems, newItem];\n        this.editedItems = _.uniq(this.editedItems.sort((x, y) => x - y));\n        if (this.onChange) { this.onChange(this.editedItems); }\n        this.addForm.reset({ value: null });\n        event.preventDefault();\n    }\n\n    remove(index: number) {\n        this.editedItems = produce(this.editedItems, editedItems => { editedItems.splice(index, 1); });\n        if (this.onChange) { this.onChange(this.editedItems); }\n    }\n\n    writeValue(obj: any): void {\n        this.editedItems = obj;\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n    registerOnTouched(fn: any): void {\n        this.onTouched = fn;\n    }\n\n    setDisabledState?(isDisabled: boolean): void {\n        isDisabled ? this.addForm.disable() : this.addForm.enable();\n    }\n}\n","<ng-container [formGroup]=\"configForm\">\n    <ng-container *ngIf=\"isCategorical; else NUMERICAL\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">Max nb. of bins</label>\n            <div class=\"controls\">\n                <input\n                    type=\"number\"\n                    min=\"1\"\n                    formControlName=\"maxValues\"\n                >\n            </div>\n        </div>\n        <div\n            class=\"control-group\"\n        >\n            <label>\n                <input\n                    type=\"checkbox\"\n                    class=\"form__checkbox\"\n                    formControlName=\"groupWithOthers\"\n                >\n                Group extra values in an \"Others\" category\n            </label>\n        </div>\n    </ng-container>\n    <ng-template #NUMERICAL>\n        <div class=\"control-group\">\n            <label class=\"control-label\">Binning mode</label>\n            <div class=\"controls binning-selector\">\n                <dku-bs-select-form-control\n                    formControlName=\"binningMode\"\n                    ngOptions=\"v.key as v.label for v in list\"\n                    [list]=\"supportedBinningModes\"\n                    [layout]=\"'list'\"\n                >\n                </dku-bs-select-form-control>\n            </div>\n            <label class=\"control-label\">\n                <ng-container [ngSwitch]=\"configForm.value.binningMode\">\n                    <ng-container *ngSwitchCase=\"'AUTO'\">Max nb. of bins</ng-container>\n                    <ng-container *ngSwitchCase=\"'FIXED_NB'\">Nb. of bins</ng-container>\n                    <ng-container *ngSwitchCase=\"'CUSTOM'\">Custom bin boundaries</ng-container>\n                </ng-container>\n            </label>\n                    <div class=\"controls\" *ngIf=\"(configForm.value.binningMode == BinningMode.AUTO) || (configForm.value.binningMode == BinningMode.FIXED_NB)\">\n                <input\n                    type=\"number\"\n                    min=\"1\"\n                    formControlName=\"maxValues\"\n                >\n            </div>\n            <div class=\"controls\" *ngIf=\"configForm.value.binningMode == BinningMode.CUSTOM\">\n                <simple-number-list formControlName=\"customBinningBoundaries\"></simple-number-list>\n            </div>\n        </div>\n    </ng-template>\n</ng-container>\n","import { Component, ChangeDetectionStrategy, Input, OnChanges, SimpleChanges, OnDestroy, forwardRef } from '@angular/core';\nimport { BinningMode } from 'src/generated-sources';\nimport { ControlValueAccessor, FormBuilder, Validators, NG_VALUE_ACCESSOR, NG_VALIDATORS, AbstractControl, ValidationErrors } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n\n\nfunction validateBinningBoundaries(control: AbstractControl): ValidationErrors | null {\n    if (!control.value || control.value.length < 1) {\n        return { badBinningBoundary: 'Should have a least one value' };\n    }\n    return null;\n}\n\nfunction adjustCustomBinningValidators(\n    binningMode: BinningMode,\n    customBinningBoundariesControl: AbstractControl, maxValuesControl: AbstractControl,\n    groupWithOthersControl?: AbstractControl): void {\n    switch (binningMode) {\n        case BinningMode.AUTO:\n        case BinningMode.FIXED_NB:\n            customBinningBoundariesControl.clearValidators();\n            maxValuesControl.setValidators([\n                Validators.required,\n                Validators.min(1),\n                Validators.max(100000) // Prevent stupidity\n            ]);\n            if (groupWithOthersControl) {\n                groupWithOthersControl.setValidators([Validators.required]);\n            }\n            break;\n        case BinningMode.CUSTOM:\n            maxValuesControl.clearValidators();\n            if (groupWithOthersControl) {\n                groupWithOthersControl.clearValidators();\n            }\n            customBinningBoundariesControl.setValidators([validateBinningBoundaries]);\n            break;\n        default:\n            throw new Error('Unhandled binning mode');\n    }\n    customBinningBoundariesControl.updateValueAndValidity();\n    maxValuesControl.updateValueAndValidity();\n    if (groupWithOthersControl) {\n        groupWithOthersControl.updateValueAndValidity();\n    }\n}\n\nexport class BinningConfig {\n    binningMode: BinningMode;\n    groupWithOthers: boolean;\n    maxValues: number | null;\n    customBinningBoundaries: number[];\n\n}\n\nclass BinningModeConfig {\n    key: BinningMode;\n    label: string;\n}\n\nexport const BINNING_MODES: BinningModeConfig[] = [{\n    key: BinningMode.AUTO,\n    label: 'Max nb. of bins'\n}, {\n    key: BinningMode.FIXED_NB,\n    label: 'Fixed nb. of bins'\n}, {\n    key: BinningMode.CUSTOM,\n    label: 'Custom bins'\n}\n];\n\n@UntilDestroy()\n@Component({\n    selector: 'binning-config',\n    templateUrl: './binning-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/forms.less',\n        './binning-config.component.less'\n    ],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => BinningConfigComponent),\n            multi: true\n        },\n        {\n            provide: NG_VALIDATORS,\n            useExisting: forwardRef(() => BinningConfigComponent),\n            multi: true\n        }\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n\n})\nexport class BinningConfigComponent implements ControlValueAccessor, OnChanges, OnDestroy {\n    @Input() isCategorical: boolean;\n    @Input() binningModes: BinningMode[];\n\n    BinningMode = BinningMode;\n\n    supportedBinningModes: BinningModeConfig[] = BINNING_MODES;\n\n    configForm = this.fb.group({\n        binningMode: this.fb.control(null, [Validators.required]),\n        maxValues: this.fb.control(null),\n        groupWithOthers: this.fb.control(null),\n        customBinningBoundaries: this.fb.control(null)\n    });\n\n\n    onChange: Function;\n    onTouched: Function;\n\n    constructor(\n        private fb: FormBuilder\n    ) {\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n        .subscribe(formValue => {\n            if (this.onChange) {\n                this.onChange({\n                    binningMode: formValue.binningMode,\n                    maxValues: formValue.maxValues,\n                    groupWithOthers: formValue.groupWithOthers,\n                    customBinningBoundaries: formValue.customBinningBoundaries\n                });\n            }\n        });\n\n        const maxValuesControl = this.configForm.controls.maxValues;\n        const groupWithOthersControl = this.configForm.controls.groupWithOthers;\n        const binningModeControl = this.configForm.controls.binningMode;\n        const customBinningBoundariesControl = this.configForm.controls.customBinningBoundaries;\n\n        binningModeControl.valueChanges.subscribe(\n            binningMode => { adjustCustomBinningValidators(binningMode, customBinningBoundariesControl,\n                maxValuesControl, this.isCategorical ? groupWithOthersControl : undefined); }\n        );\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.binningModes) {\n            this.supportedBinningModes = BINNING_MODES.filter(bm => this.binningModes.includes(bm.key));\n        }\n    }\n\n    writeValue(param: BinningConfig): void {\n        this.configForm.patchValue({\n            maxValues: param.maxValues,\n            groupWithOthers: param.groupWithOthers,\n            binningMode: param.binningMode,\n            customBinningBoundaries: param.customBinningBoundaries\n        });\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n    registerOnTouched(fn: any): void {\n        this.onTouched = fn;\n    }\n\n    setDisabledState?(isDisabled: boolean): void {\n        isDisabled ? this.configForm.disable() : this.configForm.enable();\n    }\n\n    validate(c: AbstractControl): ValidationErrors | null{\n        return this.configForm.valid ? null : { invalidForm: {valid: false, message: \"Binning config is invalid\"}};\n    }\n\n    ngOnDestroy() {\n    }\n}\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { CategoricalHistogramCard, Variable, BinningMode } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n@UntilDestroy()\n@Component({\n    selector: 'categorical-histogram-card-config',\n    templateUrl: './categorical-histogram-card-config.component.html',\n    styleUrls: ['./categorical-histogram-card-config.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CategoricalHistogramCardConfigComponent implements OnChanges, OnDestroy {\n    @Input() params: CategoricalHistogramCard;\n    @Output() paramsChange = new EventEmitter<CategoricalHistogramCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm = this.fb.group({\n        binningConfig: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(private fb: FormBuilder) {\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => this.paramsChange.emit({\n                ...this.params,\n                maxValues: formValue.binningConfig.maxValues,\n                groupOthers: formValue.binningConfig.groupWithOthers\n            }));\n\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                binningConfig: {\n                    maxValues: this.params.maxValues,\n                    groupWithOthers: this.params.groupOthers,\n                    binningMode: BinningMode.AUTO,\n                    customBinningBoundaries: null\n                }\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <h4>{{ params.column.name }}</h4>\n    <binning-config formControlName=\"binningConfig\"\n        [isCategorical]=\"true\">\n    </binning-config>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, OnDestroy, SimpleChanges } from '@angular/core';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { BivariateBoxPlotCard, Variable } from 'src/generated-sources';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n\n@UntilDestroy()\n@Component({\n    selector: 'bivariate-box-plot-card-config',\n    templateUrl: './bivariate-box-plot-card-config.component.html',\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class BivariateBoxPlotCardConfigComponent implements OnChanges, OnDestroy {\n    @Input() params: BivariateBoxPlotCard;\n    @Output() paramsChange = new EventEmitter<BivariateBoxPlotCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm = this.fb.group({\n        xBinningConfig: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(private fb: FormBuilder) {\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => {\n                this.paramsChange.emit({\n                    ...this.params,\n                    maxValues: formValue.xBinningConfig.maxValues,\n                    groupOthers: formValue.xBinningConfig.groupWithOthers,\n                    binningMode: formValue.xBinningConfig.binningMode,\n                    customBinningBoundaries: formValue.xBinningConfig.customBinningBoundaries\n                });\n            });\n    }\n\n    get atLeastOneCategoricalVariable() {\n        return this.params.xColumn.type === Variable.Type.CATEGORICAL\n            || this.params.yColumn.type === Variable.Type.CATEGORICAL;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xBinningConfig: {\n                    maxValues: this.params.maxValues,\n                    groupWithOthers: this.params.groupOthers,\n                    customBinningBoundaries: this.params.customBinningBoundaries,\n                    binningMode: this.params.binningMode\n                }\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <h4>{{ params.xColumn.name }}</h4>\n    <binning-config\n        formControlName=\"xBinningConfig\"\n        [isCategorical]=\"atLeastOneCategoricalVariable\">\n    </binning-config>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { UnivariateFrequencyTableCard } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n@UntilDestroy()\n@Component({\n    selector: 'univariate-frequency-table-card-config',\n    templateUrl: './univariate-frequency-table-card-config.component.html',\n    styleUrls: ['./univariate-frequency-table-card-config.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnivariateFrequencyTableCardConfigComponent implements OnChanges, OnDestroy {\n    @Input() params: UnivariateFrequencyTableCard;\n    @Output() paramsChange = new EventEmitter<UnivariateFrequencyTableCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm = this.fb.group({\n        maxValues: this.fb.control(null, [\n            Validators.required,\n            Validators.min(1),\n            Validators.max(100000) // Prevent stupidity\n        ])\n    });\n\n    constructor(private fb: FormBuilder) {\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => this.paramsChange.emit({\n                ...this.params,\n                maxValues: formValue.maxValues\n            }));\n\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                maxValues: this.params.maxValues\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <div class=\"control-group\">\n        <label class=\"control-label\">Max values</label>\n        <div class=\"controls\">\n            <input\n                type=\"number\"\n                min=\"1\"\n                formControlName=\"maxValues\"\n            >\n        </div>\n    </div>\n</form>\n","<form\n    class=\"dkuform-modal-vertical\"\n    id=\"config-form\"\n    [formGroup]=\"configForm\"\n>\n    <div class=\"control-group\">\n        <div class=\"controls\">\n            <label>\n                <input\n                    type=\"checkbox\"\n                    class=\"form__checkbox\"\n                    formControlName=\"customFreqsEnabled\"\n                >\n                Define custom quantiles\n            </label>\n        </div>\n    </div>\n    <div\n        class=\"control-group\"\n        formArrayName=\"customFreqs\"\n        *ngIf=\"customFreqsEnabled.value\"\n    >\n        <label class=\"control-label\">Custom quantiles</label>\n        <div\n            class=\"controls\"\n            *ngFor=\"let city of customFreqs.controls; index as quantileIndex\"\n        >\n            <input\n                type=\"number\"\n                min=\"0\"\n                step=\"0.001\"\n                max=\"1\"\n                formControlName=\"{{quantileIndex}}\"\n            >\n            &nbsp;\n            <a\n                (click)=\"dropQuantile(quantileIndex)\"\n                class=\"card-options__delete\"\n            >\n                <i class=\"icon-trash\"></i>\n            </a>\n        </div>\n        <button\n            (click)=\"addQuantile()\"\n            class=\"btn btn--secondary\"\n        >\n            + Add a quantile\n        </button>\n    </div>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, SimpleChanges, OnDestroy } from '@angular/core';\nimport { QuantilesTableCard } from 'src/generated-sources';\nimport { FormGroup, FormControl, Validators } from '@angular/forms';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport _ from 'lodash';\n\nconst defaultCustomFreqs = [0, 0.25, 0.5, 0.75, 1];\n\n@UntilDestroy()\n@Component({\n    selector: 'quantiles-table-card-config',\n    templateUrl: './quantiles-table-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/forms.less',\n        './quantiles-table-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class QuantilesTableCardConfigComponent implements OnChanges, OnDestroy {\n    @Input() params: QuantilesTableCard;\n    @Output() paramsChange = new EventEmitter<QuantilesTableCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    customFreqs = new FormArrayRepeat(() => new FormControl(0.5, [\n        Validators.min(0),\n        Validators.max(1),\n        Validators.required\n    ]));\n\n    customFreqsEnabled = new FormControl(false);\n\n    configForm = new FormGroup({\n        customFreqs: this.customFreqs,\n        customFreqsEnabled: this.customFreqsEnabled\n    });\n\n    constructor() {\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => this.paramsChange.emit({\n                ...this.params,\n                customFreqs: formValue.customFreqsEnabled ? _.sortBy(formValue.customFreqs) : null\n            }));\n\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.setValue({\n                customFreqsEnabled: !!this.params.customFreqs,\n                customFreqs: this.params.customFreqs || defaultCustomFreqs\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n\n    addQuantile() {\n        this.customFreqs.add();\n    }\n\n    dropQuantile(index: number) {\n        this.customFreqs.removeAt(index);\n        if (this.customFreqs.controls.length === 0) {\n            this.customFreqsEnabled.setValue(false);\n        }\n    }\n}\n","\nimport { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { NumericalHistogramCard, Variable } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n\n@UntilDestroy()\n@Component({\n    selector: 'numerical-histogram-card-config',\n    templateUrl: './numerical-histogram-card-config.component.html',\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class NumericalHistogramCardConfigComponent implements OnChanges, OnDestroy {\n    @Input() params: NumericalHistogramCard;\n    @Output() paramsChange = new EventEmitter<NumericalHistogramCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    binningMode = this.fb.control(null, [Validators.required]);\n    nbBins = this.fb.control(null);\n    customBinningBoundaries = this.fb.control(null);\n\n    configForm = this.fb.group({\n        binningConfig: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(private fb: FormBuilder) {\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => {\n                this.paramsChange.emit({\n                    ...this.params,\n                    nbBins: formValue.binningConfig.maxValues,\n                    binningMode: formValue.binningConfig.binningMode,\n                    customBinningBoundaries: formValue.binningConfig.customBinningBoundaries\n                });\n            });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                binningConfig: {\n                    maxValues: this.params.nbBins,\n                    customBinningBoundaries: this.params.customBinningBoundaries,\n                    binningMode: this.params.binningMode\n                }\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <h4>{{ params.column.name }}</h4>\n    <binning-config formControlName=\"binningConfig\"\n        [isCategorical]=\"false\">\n    </binning-config>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { Variable, BinningMode } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { Abstract2DPivotCard } from '@model-main/eda/worksheets/cards/bivariate_header/abstract2-dpivot-card';\n\n\n@UntilDestroy()\n@Component({\n    selector: 'abstract-2d-pivot-card-config',\n    templateUrl: './abstract-2d-pivot-card-config.component.html',\n    styleUrls: ['./abstract-2d-pivot-card-config.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Abstract2DPivotCardConfigComponent implements OnDestroy, OnChanges {\n    @Input() params: Abstract2DPivotCard;\n    @Output() paramsChange = new EventEmitter<Abstract2DPivotCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm = this.fb.group({\n        xBinningConfig: this.fb.control(null, [Validators.required]),\n        yBinningConfig: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(private fb: FormBuilder) {\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe(formValue => {\n                this.paramsChange.emit({\n                    ...this.params,\n                    maxValuesX: formValue.xBinningConfig.maxValues,\n                    maxValuesY: formValue.yBinningConfig.maxValues,\n                    groupWithOthersX: formValue.xBinningConfig.groupWithOthers,\n                    groupWithOthersY: formValue.yBinningConfig.groupWithOthers,\n                    xBinningMode: formValue.xBinningConfig.binningMode,\n                    yBinningMode: formValue.yBinningConfig.binningMode,\n                    xCustomBinningBoundaries: formValue.xBinningConfig.customBinningBoundaries,\n                    yCustomBinningBoundaries: formValue.yBinningConfig.customBinningBoundaries,\n                });\n            });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            const xBinningMode = (this.params.xColumn.type === Variable.Type.CATEGORICAL) ? BinningMode.AUTO : (this.params.xBinningMode ? this.params.xBinningMode : BinningMode.AUTO);\n            const yBinningMode = (this.params.yColumn.type === Variable.Type.CATEGORICAL) ? BinningMode.AUTO : (this.params.yBinningMode ? this.params.yBinningMode : BinningMode.AUTO);\n\n            this.configForm.patchValue({\n                xBinningConfig:  {\n                    maxValues: this.params.maxValuesX,\n                    groupWithOthers: this.params.groupWithOthersX,\n                    binningMode: xBinningMode,\n                    customBinningBoundaries: this.params.xCustomBinningBoundaries,\n                },\n                yBinningConfig: {\n                    maxValues: this.params.maxValuesY,\n                    groupWithOthers: this.params.groupWithOthersY,\n                    binningMode: yBinningMode,\n                    customBinningBoundaries: this.params.yCustomBinningBoundaries,\n                }\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n\n    get isXCategorical(): boolean {\n        return this.params.xColumn.type === Variable.Type.CATEGORICAL;\n    }\n\n\n    get isYCategorical(): boolean {\n        return this.params.yColumn.type === Variable.Type.CATEGORICAL;\n    }\n}\n\n\n\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <fieldset>\n        <h4>{{ params.xColumn.name }}</h4>\n        <binning-config formControlName=\"xBinningConfig\"\n            [isCategorical]=\"isXCategorical\">\n        </binning-config>\n    </fieldset>\n    <fieldset>\n        <h4>{{ params.yColumn.name }}</h4>\n        <binning-config formControlName=\"yBinningConfig\"\n            [isCategorical]=\"isYCategorical\">\n        </binning-config>\n    </fieldset>\n</form>\n","import { Component, ChangeDetectionStrategy, Input, EventEmitter, Output, OnDestroy, OnChanges } from '@angular/core';\nimport { ScatterPlotCard } from 'src/generated-sources';\nimport { Validators, FormGroup, FormControl } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n@UntilDestroy()\n@Component({\n    selector: 'scatter-plot-card-config',\n    templateUrl: './scatter-plot-card-config.component.html',\n    styleUrls: ['./scatter-plot-card-config.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ScatterPlotCardConfigComponent implements OnDestroy, OnChanges {\n    @Input() params: ScatterPlotCard;\n    @Output() paramsChange = new EventEmitter<ScatterPlotCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm = new FormGroup({\n        symbolSize: new FormControl(null, [\n            Validators.min(1),\n            Validators.max(50),\n            Validators.required\n        ]),\n        maxNumberOfPoints: new FormControl(null, [\n            Validators.min(1),\n            Validators.required\n        ]),\n        showTrend: new FormControl(false, [Validators.required])\n    });\n\n    constructor() {\n        this.configForm.valueChanges.pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                if (!this.configForm.valid) {\n                    return;\n                }\n\n                const { symbolSize, maxNumberOfPoints, showTrend } = formValue;\n\n                this.paramsChange.emit({\n                    ...this.params,\n                    symbolSize,\n                    maxNumberOfPoints,\n                    showTrend\n                });\n            });\n\n        this.configForm.statusChanges.pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnChanges() {\n        const { symbolSize, maxNumberOfPoints, showTrend } = this.params;\n\n        this.configForm.patchValue({\n            symbolSize,\n            maxNumberOfPoints,\n            showTrend\n        });\n    }\n\n    ngOnDestroy() {\n        // left empty but required by `untilDestroyed`.\n    }\n}\n","<form\n    [formGroup]=\"configForm\"\n    id=\"config-form\"\n    class=\"dkuform-modal-vertical\"\n>\n    <div class=\"control-group\">\n        <label class=\"control-label\">Symbol size</label>\n        <div class=\"controls\">\n            <label>\n                <input\n                    type=\"number\"\n                    formControlName=\"symbolSize\"\n                >\n            </label>\n        </div>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Max number of points\n            <i class=\"icon-dku-help\"\n                matTooltip=\"The points are randomly drawn from the sample of the worksheet\"\n            ></i>\n        </label>\n        <input\n            type=\"number\"\n            formControlName=\"maxNumberOfPoints\"\n        >\n    </div>\n    <div class=\"control-group\">\n        <label class=\"controls\">\n            <input type=\"checkbox\" formControlName=\"showTrend\">\n            Show trend\n        </label>\n    </div>\n</form>\n","import { FormGroup, ValidatorFn, AbstractControl } from '@angular/forms';\n\n/*\n    Validate that at least { min } checkboxes are checked given a set of checkbox types (ids)\n*/\nexport function minCheckedValidator(checkboxTypes: string[], min = 1): ValidatorFn {\n    return function validate(formGroup: AbstractControl) {\n        let checked = 0;\n\n        checkboxTypes.forEach(checkbox => {\n            const control = (formGroup as FormGroup).controls[checkbox];\n            if (control.value && control.enabled) {\n                checked++;\n            }\n        });\n\n        return checked < min ? {\n            minNotChecked: true\n        } : null;\n    };\n}\n","import { PipeTransform, Pipe } from '@angular/core';\n\n@Pipe({\n    name: 'filter'\n})\nexport class FilterPipe implements PipeTransform {\n    transform(items: any[], query: string, key?: string) {\n        let results = items ? items : [];\n        query = (query || '').toLowerCase();\n\n        if (query) {\n            results = items.filter(item => {\n                const i = key ? (item[key] || '').toLowerCase() : (item || '').toLowerCase();\n                return i.indexOf(query) >= 0;\n            });\n        }\n\n        return results;\n    }\n}","<div class=\"list-box__search flex std-list-search-box with-icon\" style=\"flex: 0;\">\n    <div class=\"std-list-search-box list-control-widget\" style=\"margin: 0\">\n        <span class=\"add-on\">\n            <i class=\"icon-dku-search\"></i>\n        </span>\n        <input type=\"search\" class=\"list__search-input\" placeholder=\"Search\" [(ngModel)]=\"query\" >\n    </div>\n</div>\n<cdk-virtual-scroll-viewport [itemSize]=\"38\" class=\"list-box__main\" [qa]=\"'eda-available-variables'\">\n    <ul class=\"list-box__items\" cdkDropList [cdkDropListDisabled]=\"!dragDropable\"\n        [cdkDropListSortingDisabled]=\"!sortDraggable\" (cdkDropListDropped)=\"drop($event)\"\n    >\n        <li class=\"drag-drop-placeholder--invisible\" *ngIf=\"currentList.length === 0\"><i class=\"list-box__icon\"></i></li>\n        <ng-container *cdkVirtualFor=\"let item of currentList | filter: query:'name'; trackBy: trackByVariableName\">\n            <li class=\"list-box__item\" [ngClass]=\"{ 'list-box__item--selected': item.selected, 'list-box__item--disabled': item.disabled }\"\n                cdkDrag\n                (cdkDragStarted)=\"dragStarted($event)\"\n                [cdkDragData]=\"item\"\n            >\n                <a class=\"list-box__link\" (click)=\"selectItem($event, item)\"\n                    [matTooltip]=\"item.disabled ? disabledMessage : ''\"\n                    [qa]=\"{'eda-variable': {name: item.name, type: item.type}}\">\n                    <i class=\"list-box__icon\" [ngClass]=\"{ 'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\" ></i>\n                    {{ item.name }}\n                </a>\n                <div class=\"drag-drop-placeholder\" *cdkDragPlaceholder><i class=\"list-box__icon\" [ngClass]=\"{ 'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\" ></i>Variable(s)</div>\n                <div class=\"drag-drop-preview\" *cdkDragPreview><i class=\"list-box__icon\" [ngClass]=\"{ 'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\"></i>\n                        Variable(s)\n                </div>\n            </li>\n        </ng-container>\n    </ul>\n</cdk-virtual-scroll-viewport>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, ChangeDetectorRef, ElementRef } from '@angular/core';\nimport produce from 'immer';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Variable } from 'src/generated-sources';\nimport { ObservableInput } from 'observable-input';\nimport { Observable } from 'rxjs';\nimport { CdkDragDrop, CdkDragStart } from '@angular/cdk/drag-drop';\n\n@Component({\n    selector: 'list-box',\n    templateUrl: './list-box.component.html',\n    styleUrls: [\n        '../../../shared-styles/list-box.less',\n        './list-box.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ListBoxComponent implements OnInit {\n    @Input() @ObservableInput() list: Observable<CardWizardVariable[]>;\n    @Input() countTitle = '';\n    @Input() height?: number;\n    @Input() disabledMessage = '';\n    @Input() dragDropable = false;\n    @Input() sortDraggable = false;\n    @Output() select = new EventEmitter<CardWizardVariable[]>();\n    @Output() dropped = new EventEmitter<CdkDragDrop<CardWizardVariable[]>>();\n\n    query = '';\n    Variable = Variable;\n    lastSelectedItem: CardWizardVariable | null;\n    currentList: CardWizardVariable[] = [];\n\n    constructor() { }\n\n    ngOnInit() {\n        this.list.\n            subscribe(\n                list => {\n                    if (list && list.length) {\n                        this.lastSelectedItem = list[0];\n                    } else {\n                        this.lastSelectedItem = null;\n                    }\n                    this.currentList = list;\n                }\n            );\n    }\n\n    // whether variable is selected or not\n    selectItem(event: MouseEvent, item: CardWizardVariable) {\n        const previousItem = this.lastSelectedItem;\n        item.selected = !item.selected;\n        this.lastSelectedItem = item;\n\n        // if shift was pressed, select all items in between previous item\n        // and the item we just clicked on\n        if (event.shiftKey) {\n            let prevIndex = this.currentList.indexOf(previousItem!);\n            prevIndex = prevIndex >= 0 ? prevIndex : 0;\n            const currIndex = this.currentList.indexOf(item);\n            const startIndex = prevIndex < currIndex ? prevIndex : currIndex;\n            const endIndex = currIndex >= prevIndex ? currIndex : prevIndex;\n\n            for (let i = startIndex; i <= endIndex; i++) {\n                this.currentList[i].selected = item.selected; // based on select state of clicked item\n            }\n        }\n\n        // emit all selected items\n        this.select.emit(this.currentList.filter(v => v.selected));\n    }\n\n    drop(event: CdkDragDrop<CardWizardVariable[]>): void {\n        this.dropped.emit(event);\n    }\n\n    dragStarted(ev: CdkDragStart): void {\n        const selectedItems = this.currentList.filter(v => v.selected);\n        const items = (selectedItems && selectedItems.length) ? selectedItems : [ev.source.data];\n        ev.source.data = items;\n    }\n\n    trackByVariableName(index: number, variable: CardWizardVariable) {\n        return variable.name;\n    }\n}\n","<div class=\"list-box__main vertical-flex\">\n    <ul class=\"list-box__items flex\" cdkDropList [cdkDropListDisabled]=\"!dragDropable\"\n        [cdkDropListSortingDisabled]=\"!sortDraggable\" (cdkDropListDropped)=\"drop($event)\"\n        [class.drag-drop-container-empty]=\"!list || !list.length\"\n    >\n        <ng-container *ngFor=\"let item of list\">\n            <li class=\"list-box__item\" *ngIf=\"item.name !== undefined\" [qa]=\"{'list-box-item': {variable: item.name}}\"\n                [ngClass]=\"{ 'list-box__item--selected': item.selected, 'list-box__item--disabled': item.disabled, 'list-box__item--hide-on-drop': hideItemsOnDrop}\"\n                cdkDrag [cdkDragData]=\"item\" (cdkDragStarted)=\"dragStarted($event)\"\n            >\n                <a class=\"list-box__link\" (click)=\"selectItem($event, item)\">\n                    <i class=\"list-box__icon\" [ngClass]=\"{'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\"\n                    ></i>\n                    {{ item.name }}\n                </a>\n                <a class=\"list-box__delete\" (click)=\"removeItem(item);\" [qa]=\"{'list-box-item': {variable: item.name, action: 'delete'}}\">\n                    <i class=\"icon-trash\"></i>\n                </a>\n                <div class=\"drag-drop-placeholder\" *cdkDragPlaceholder><i class=\"list-box__icon\" [ngClass]=\"{ 'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\" ></i>Variable(s)</div>\n                <div class=\"drag-drop-preview\" *cdkDragPreview><i class=\"list-box__icon\" [ngClass]=\"{ 'icon-font': item.type === Variable.Type.CATEGORICAL, 'icon-number': item.type === Variable.Type.CONTINUOUS }\"></i>\n                        Variable(s)\n                </div>\n            </li>\n        </ng-container>\n        <div class=\"drag-drop-placeholder-text\" *ngIf=\"placeHolderText && (!list || !list.length)\">\n            {{placeHolderText}}\n        </div>\n    </ul>\n</div>\n","import { Component, OnInit, ChangeDetectionStrategy, Output, Input, EventEmitter, forwardRef } from '@angular/core';\nimport { NG_VALUE_ACCESSOR, ControlValueAccessor } from '@angular/forms';\nimport _ from 'lodash';\nimport { Variable } from 'src/generated-sources';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CdkDragDrop, CdkDragStart } from '@angular/cdk/drag-drop';\n\n@Component({\n    selector: 'list-box-form-control',\n    templateUrl: './list-box-form-control.component.html',\n    styleUrls: [\n        '../../../shared-styles/card-wizard.less',\n        '../../../shared-styles/list-box.less',\n        './list-box-form-control.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.Default,\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => ListBoxFormControlComponent),\n            multi: true\n        }\n    ]\n})\nexport class ListBoxFormControlComponent implements OnInit, ControlValueAccessor {\n    @Input() height?: number;\n    @Input() dragDropable = false;\n    @Input() sortDraggable = false;\n    @Input() multiselectable = false;\n    @Input() hideItemsOnDrop = false;\n    @Input() placeHolderText: string;\n    @Output() remove = new EventEmitter<Variable>();\n    @Output() select = new EventEmitter<CardWizardVariable[]>();\n    @Output() dropped = new EventEmitter<CdkDragDrop<CardWizardVariable[]>>();\n    list: CardWizardVariable[] = [];\n    // whether we pass array or a single object\n    isArray = true;\n    Variable = Variable;\n    lastSelectedItem: CardWizardVariable | null;\n\n    propagateChange = (_: any) => {};\n\n    constructor() { }\n\n    ngOnInit() {\n    }\n\n    removeItem(item: Variable) {\n        this.list = this.list.filter(i => i.name !== item.name);\n        this.propagateChange(this.isArray ? this.list : (this.list[0]) || {});\n    }\n\n    writeValue(value: any) {\n        this.list = _.cloneDeep(Array.isArray(value) ? value : Object.keys(value || {}).length ? [value] : []);\n    }\n\n    registerOnChange(fn: (_: any) => {}) {\n        this.propagateChange = fn;\n    }\n\n    registerOnTouched() {\n    }\n\n    // whether variable is selected or not\n    selectItem(event: MouseEvent, item: CardWizardVariable) {\n        if (!this.multiselectable) {\n            return;\n        }\n\n        const previousItem = this.lastSelectedItem;\n        item.selected = !item.selected;\n        this.lastSelectedItem = item;\n\n        // if shift was pressed, select all items in between previous item\n        // and the item we just clicked on\n        if (event.shiftKey) {\n            let prevIndex = this.list.indexOf(previousItem!);\n            prevIndex = prevIndex >= 0 ? prevIndex : 0;\n            const currIndex = this.list.indexOf(item);\n            const startIndex = prevIndex < currIndex ? prevIndex : currIndex;\n            const endIndex = currIndex >= prevIndex ? currIndex : prevIndex;\n\n            for (let i = startIndex; i <= endIndex; i++) {\n                this.list[i].selected = item.selected; // based on select state of clicked item\n            }\n        }\n\n        // emit all selected items\n        this.select.emit(this.list.filter(v => v.selected));\n    }\n\n    drop(event: CdkDragDrop<CardWizardVariable[]>): void {\n        this.dropped.emit(event);\n    }\n\n    dragStarted(ev: CdkDragStart): void {\n        const selectedItems = this.list.filter(v => v.selected);\n        const items = (selectedItems && selectedItems.length) ? selectedItems : [ev.source.data];\n        ev.source.data = items;\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\">\n    <div cdkDropListGroup class=\"card-header-editor horizontal-flex\">\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">1. Select variables</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">\n                    {{ count }} available variables\n                </h4>\n            </div>\n            <list-box [list]=\"currentVariables$ | async\" [countTitle]=\"'available variables'\"\n                class=\"vertical-flex card-header-editor__list\"\n                (select)=\"selectedAvailableVariables = $event\"\n                (dropped)=\"onDropVariables($event)\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                dragDropable=\"true\">\n            </list-box>\n            <div class=\"card-header-editor__footnote\">\n                <i class=\"icon-lightbulb\"></i> Use <strong>Shift + Click</strong> to select a range of variables.\n            </div>\n        </div>\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">2. Add variables</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\"\n                    [matTooltip]=\"tooManySelectedVariablesWarning\">\n                    {{ configForm.value.xColumns.length }} variables to describe <i *ngIf=\"tooManySelectedVariablesWarning\" class=\"icon-warning-sign text-error\"></i>\n                </h4>\n                <div>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"add()\"\n                        [disabled]=\"!canAdd\"\n                        [qa]=\"{'eda-add-variables-button': {as: 'variable'}}\">\n                        <i class=\"icon-plus\"></i>\n                    </button>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"del()\"\n                        [disabled]=\"selectedSelectedVariables.length < 1\"\n                        [qa]=\"{'eda-del-variables-button': {as: 'variable'}}\">\n                        <i class=\"icon-trash\"></i>\n                    </button>\n                </div>\n            </div>\n            <list-box-form-control formControlName=\"xColumns\"\n                class=\"vertical-flex card-header-editor__list\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                placeHolderText=\"(Drag variable(s) here)\"\n                (dropped)=\"onDropAdd($event)\"\n                (select)=\"selectedSelectedVariables = $event\">\n            </list-box-form-control>\n        </div>\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">3. Select options</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">Options</h4>\n            </div>\n            <div class=\"card-header-editor__options\">\n                <div class=\"control-group\" *ngFor=\"let option of options\" [ngClass]=\"{'card-option--disabled': !option.enabled}\">\n                    <label class=\"control-label control-label--flex\">\n                        <!-- show fake checkbox when disabled so that it's immediately checked when activated for the first time -->\n                        <input type=\"checkbox\" class=\"control\" *ngIf=\"!option.enabled\" disabled>\n                        <input type=\"checkbox\" class=\"control\" formControlName=\"{{ option.id }}\" *ngIf=\"option.enabled\">\n                        {{ option.name }}\n                    </label>\n                </div>\n            </div>\n        </div>\n    </div>\n</form>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, SimpleChanges, OnDestroy } from '@angular/core';\nimport _ from 'lodash';\nimport { UnivariateHeaderCard, Variable } from 'src/generated-sources';\nimport { Observable, combineLatest } from 'rxjs';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { map, startWith, tap } from 'rxjs/operators';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { minCheckedValidator } from '@utils/min-checked-validator';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { MAX_HEADER_COLUMNS, CANNOT_ADD_REASON, identicalVariableNames, unselectVariables } from '@features/eda/card-utils';\nimport { CdkDragDrop, transferArrayItem } from '@angular/cdk/drag-drop';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\n\n@UntilDestroy()\n@Component({\n    selector: 'univariate-header-card-config',\n    templateUrl: './univariate-header-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './univariate-header-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnivariateHeaderCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: UnivariateHeaderCard ;\n    @Output() paramsChange = new EventEmitter<UnivariateHeaderCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n    @Output() validityTooltipChange = new EventEmitter<string>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n    xColumns$: Observable<Variable[]>;\n    currentVariables$: Observable<CardWizardVariable[]>;\n    selectedAvailableVariables = [];\n    selectedSelectedVariables = [];\n    count = 0;\n    tooManySelectedVariablesWarning = '';\n\n    options = [{\n        name: 'Histogram',\n        id: 'showHistogram',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Quantile table',\n        id: 'showQuantile',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS\n        }]\n    }, {\n        name: 'Frequency table',\n        id: 'showFrequencyTable',\n        variableTypes: [{\n            x: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Summary Stats',\n        id: 'showSummary',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Box Plot',\n        id: 'showBoxPlot',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS\n        }]\n    }, {\n        name: 'Cumulative distribution function',\n        id: 'showCumulativeDistributionFunction',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS\n        }]\n    }];\n\n    configForm = this.fb.group({\n        xColumns: this.fb.control([], [Validators.required]),\n        showBoxPlot: this.fb.control(true, [Validators.required]),\n        showFrequencyTable: this.fb.control(true, [Validators.required]),\n        showHistogram: this.fb.control(true, [Validators.required]),\n        showQuantile: this.fb.control(true, [Validators.required]),\n        showSummary: this.fb.control(true, [Validators.required]),\n        showCumulativeDistributionFunction: this.fb.control(true, [Validators.required]),\n    }, { validator: minCheckedValidator(this.options.map(o => o.id)) });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private wt1Service: WT1Service\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                const {\n                    xColumns,\n                    showBoxPlot,\n                    showFrequencyTable,\n                    showHistogram,\n                    showQuantile,\n                    showSummary,\n                    showCumulativeDistributionFunction,\n                } = formValue;\n\n                return this.paramsChange.emit({\n                    ...this.params,\n                    xColumns,\n                    showBoxPlot,\n                    showFrequencyTable,\n                    showHistogram,\n                    showQuantile,\n                    showSummary,\n                    showCumulativeDistributionFunction,\n                });\n            });\n    }\n\n    ngOnInit() {\n        const xColumns = this.configForm.controls.xColumns.value as Variable[]; // need starting value for combineLatest\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n        this.xColumns$ = this.configForm.controls.xColumns.valueChanges;\n\n        this.currentVariables$ = combineLatest([this.allVariables$, this.xColumns$.pipe(startWith(xColumns))])\n            .pipe(\n                map(([all, x]) => {\n                    // remove x variables from current variable list\n                    return all.filter(variable => x.findIndex(xVariable => xVariable.name === variable.name) < 0).map(({selected, ...attrs}) => attrs);\n                }),\n                tap(() => {\n                    this.selectedSelectedVariables = [];\n                    this.selectedSelectedVariables = [];\n                })\n            );\n\n        this.currentVariables$\n            .pipe(untilDestroyed(this))\n            .subscribe(variables => {\n                this.count = variables.length;\n            });\n\n        this.xColumns$\n            .pipe(untilDestroyed(this))\n            .subscribe((columns) => this.toggleOptions(columns));\n\n            combineLatest([this.configForm.statusChanges.pipe(startWith('')), this.xColumns$.pipe(startWith(xColumns))])\n            .pipe(untilDestroyed(this))\n            .subscribe(([sc, curColumns]) => {\n                const overLimit = curColumns.length > MAX_HEADER_COLUMNS;\n                this.validityChange.emit(this.configForm.valid && !overLimit);\n                if (overLimit) {\n                    this.tooManySelectedVariablesWarning = `${curColumns.length} variables selected. Max is ${MAX_HEADER_COLUMNS}.`;\n                } else {\n                    this.tooManySelectedVariablesWarning = '';\n                }\n                this.validityTooltipChange.emit(this.tooManySelectedVariablesWarning);\n            });\n    }\n\n    toggleOptions(columns: Variable[]) {\n        // get what variable types have already been added: either continuous or categorical.\n        const addedTypes = columns.map((v: Variable) => v.type).filter((v: Variable.Type, i: number, arr: Variable.Type[]) => arr.indexOf(v) === i);\n\n        this.options.forEach((option: any) => {\n            option.enabled = !!option.variableTypes.filter((type: any) => addedTypes.includes(type.x)).length;\n\n            if (option.enabled) {\n                this.configForm.get(option.id)!.enable();\n            } else {\n                this.configForm.get(option.id)!.disable();\n            }\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            const {\n                xColumns,\n                showBoxPlot,\n                showFrequencyTable,\n                showHistogram,\n                showQuantile,\n                showSummary,\n                showCumulativeDistributionFunction\n            } = this.params;\n\n            this.configForm.patchValue({\n                xColumns,\n                showBoxPlot,\n                showFrequencyTable,\n                showHistogram,\n                showQuantile,\n                showSummary,\n                showCumulativeDistributionFunction\n            });\n\n            this.toggleOptions(this.params.xColumns);\n        }\n    }\n\n    add() {\n        this.configForm.patchValue({\n            xColumns: unselectVariables(this.configForm.controls.xColumns.value.concat(this.selectedAvailableVariables))\n        });\n\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n    }\n\n    del() {\n        const value = this.configForm.controls.xColumns.value;\n\n        this.configForm.patchValue({\n            xColumns: Array.isArray(value) ? _.differenceWith(value, this.selectedSelectedVariables, identicalVariableNames) : []\n        });\n\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n    }\n\n    get canAdd() {\n        return this.selectedAvailableVariables.length > 0;\n    }\n\n    get tooManySelectedVariables() {\n        return this.selectedAvailableVariables.length > MAX_HEADER_COLUMNS;\n    }\n\n    get disabledReason() {\n        if (this.configForm.controls.xColumns.value.length + this.selectedAvailableVariables.length > MAX_HEADER_COLUMNS) {\n            return CANNOT_ADD_REASON.MAX_VARIABLES_EXCEEDED;\n        } else if (this.selectedAvailableVariables.length <= 0) {\n            return CANNOT_ADD_REASON.NO_VARIABLE_SELECTED;\n        }\n\n        return '';\n    }\n\n    ngOnDestroy() {\n\n    }\n\n    onDropAdd(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n        const currentValue = this.configForm.controls.xColumns.value;\n        let newValue: CardWizardVariable[];\n        if (currentValue) {\n            let spliceIndex = dropped.currentIndex;\n            newValue = _.cloneDeep(currentValue);\n            if (dropped.container === dropped.previousContainer) {\n                const indexes = droppedItems.map(d => newValue.findIndex(e => e.name === d.name ));\n                indexes.splice(0, 1);\n                const offset = _.sumBy(indexes, curIndex => curIndex <= spliceIndex ? 1 : 0);\n                spliceIndex -= offset;\n                newValue = _.differenceWith(newValue, droppedItems, identicalVariableNames);\n            }\n            newValue.splice(spliceIndex, 0, ...droppedItems);\n        } else {\n            newValue = droppedItems;\n        }\n        this.configForm.patchValue({\n            xColumns: unselectVariables(newValue)\n        });\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n\n    onDropVariables(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n\n        const currentXValue = this.configForm.controls.xColumns.value;\n        const newXValue = currentXValue ? _.differenceWith(currentXValue, droppedItems, identicalVariableNames) : currentXValue;\n\n        this.configForm.patchValue({\n            xColumns: unselectVariables(newXValue)\n        });\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\">\n    <div cdkDropListGroup class=\"card-header-editor horizontal-flex\">\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">1. Select variables</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">\n                    {{ count }} available variables\n                </h4>\n            </div>\n            <list-box [list]=\"currentVariables$ | async\" [countTitle]=\"'available variables'\"\n                (select)=\"selectedVariables = $event\" class=\"vertical-flex card-header-editor__list\"\n                (dropped)=\"onDropVariables($event)\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                dragDropable=\"true\"\n            ></list-box>\n            <div class=\"card-header-editor__footnote\">\n                <i class=\"icon-lightbulb\"></i> Use <strong>Shift + Click</strong> to select a range of variables.\n            </div>\n        </div>\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">2. Select their use</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\"\n                    [matTooltip]=\"tooManySelectedVariablesWarning\">\n                    {{ configForm.value.xColumns.length }} selected factor(s) <i *ngIf=\"tooManySelectedVariablesWarning\" class=\"icon-warning-sign text-error\"></i>\n                </h4>\n                <div>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"add('xColumns')\" [disabled]=\"!canAddX\"\n                        [qa]=\"{'eda-add-variables-button': {as: 'factor'}}\"\n                        [matTooltip]=\"disabledReasonX\">\n                        <i class=\"icon-plus\"></i>\n                    </button>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"del('xColumns')\"\n                        [disabled]=\"selectedFactors.length < 1\"\n                        [qa]=\"{'eda-del-factors-button': {as: 'factor'}}\">\n                        <i class=\"icon-trash\"></i>\n                    </button>\n                </div>\n            </div>\n            <list-box-form-control formControlName=\"xColumns\"\n                class=\"vertical-flex card-header-editor__list card-header-editor__list--multi\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                placeHolderText=\"(Drag factor(s) here)\"\n                (dropped)=\"onDropFactors($event)\"\n                (select)=\"selectedFactors = $event\"\n            ></list-box-form-control>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">\n                    Response\n                </h4>\n                <div [matTooltip]=\"disabledReasonY\">\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"add('yColumn')\" [disabled]=\"!canAddY\"\n                        [qa]=\"{'eda-add-variables-button': {as: 'response'}}\">\n                        <i class=\"icon-plus\"></i>\n                    </button>\n                </div>\n            </div>\n            <list-box-form-control formControlName=\"yColumn\"\n                class=\"vertical-flex card-header-editor__list card-header-editor__list--single\"\n                dragDropable=\"true\"\n                hideItemsOnDrop=\"true\"\n                placeHolderText=\"(Drag response here)\"\n                (dropped)=\"onDropResponse($event)\"\n            ></list-box-form-control>\n        </div>\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">3. Select options</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">Options</h4>\n            </div>\n            <div class=\"card-header-editor__options\">\n                <div class=\"control-group\" *ngFor=\"let option of options\" [ngClass]=\"{'card-option--disabled': !option.enabled}\">\n                    <label class=\"control-label control-label--flex\">\n                        <!-- show fake checkbox when disabled so that it's immediately checked when activated for the first time -->\n                        <input type=\"checkbox\" class=\"control\" *ngIf=\"!option.enabled\" disabled>\n                        <input type=\"checkbox\" class=\"control\" formControlName=\"{{ option.id }}\" *ngIf=\"option.enabled\">\n                        {{ option.name }}\n                    </label>\n                </div>\n            </div>\n        </div>\n    </div>\n</form>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, SimpleChanges, OnDestroy, ViewChild } from '@angular/core';\nimport _ from 'lodash';\nimport { BivariateHeaderCard, Variable } from 'src/generated-sources';\nimport { Observable, combineLatest } from 'rxjs';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { map, startWith, tap } from 'rxjs/operators';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { minCheckedValidator } from '@utils/min-checked-validator';\nimport { objectNotEmptyValidator } from '@utils/object-not-empty-validator';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { MAX_HEADER_COLUMNS, CANNOT_ADD_REASON, identicalVariableNames, unselectVariables, unselectVariable } from '@features/eda/card-utils';\nimport { CdkDragDrop, moveItemInArray } from '@angular/cdk/drag-drop';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\n\n@UntilDestroy()\n@Component({\n    selector: 'bivariate-header-card-config',\n    templateUrl: './bivariate-header-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './bivariate-header-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class BivariateHeaderCardConfigComponent implements  OnInit, OnChanges, OnDestroy {\n    @Input() params: BivariateHeaderCard;\n    @Output() paramsChange = new EventEmitter<BivariateHeaderCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n    @Output() validityTooltipChange = new EventEmitter<string>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n    xColumns$: Observable<Variable[]>;\n    yColumn$: Observable<Variable>;\n    currentVariables$: Observable<CardWizardVariable[]>;\n    selectedVariables = [];\n    selectedFactors = [];\n    count = 0;\n    tooManySelectedVariablesWarning = '';\n    options = [{\n        name: 'Mosaic Plot',\n        id: 'showMosaicPlot',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CATEGORICAL\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Scatter Plot',\n        id: 'showScatterPlot',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }]\n    }, {\n        name: 'Histogram',\n        id: 'showHistogram',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CATEGORICAL\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Frequency Table',\n        id: 'showFrequencyTable',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CATEGORICAL\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Box Plot',\n        id: 'showBoxPlot',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CATEGORICAL\n        }]\n    }, {\n        name: 'Summary Stats',\n        id: 'showSummary',\n        variableTypes: [{\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CONTINUOUS\n        }, {\n            x: Variable.Type.CONTINUOUS,\n            y: Variable.Type.CATEGORICAL\n        }, {\n            x: Variable.Type.CATEGORICAL,\n            y: Variable.Type.CONTINUOUS\n        }]\n    }];\n\n    configForm = this.fb.group({\n        xColumns: this.fb.control([], [Validators.required]),\n        yColumn: this.fb.control({} as Variable, [objectNotEmptyValidator()]),\n        showBoxPlot: this.fb.control(true, [Validators.required]),\n        showFrequencyTable: this.fb.control(true, [Validators.required]),\n        showHistogram: this.fb.control(true, [Validators.required]),\n        showScatterPlot: this.fb.control(true, [Validators.required]),\n        showMosaicPlot: this.fb.control(true, [Validators.required]),\n        showSummary: this.fb.control(true, [Validators.required]),\n    }, { validator: minCheckedValidator(this.options.map(o => o.id)) });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private wt1Service: WT1Service\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                xColumns: formValue.xColumns,\n                yColumn: formValue.yColumn,\n                showBoxPlot: formValue.showBoxPlot,\n                showFrequencyTable: formValue.showFrequencyTable,\n                showHistogram: formValue.showHistogram,\n                showScatterPlot: formValue.showScatterPlot,\n                showMosaicPlot: formValue.showMosaicPlot,\n                showSummary: formValue.showSummary\n            }));\n\n    }\n\n    ngOnInit() {\n        const xColumns = this.configForm.controls.xColumns.value as Variable[]; // need starting value for combineLatest\n        const yColumn = this.configForm.controls.yColumn.value as Variable; // need starting value for combineLatest\n\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n        this.xColumns$ = this.configForm.controls.xColumns.valueChanges;\n        this.yColumn$ = this.configForm.controls.yColumn.valueChanges;\n\n        this.currentVariables$ = combineLatest([this.allVariables$, this.xColumns$.pipe(startWith(xColumns)), this.yColumn$.pipe(startWith(yColumn))])\n            .pipe(\n                map(([all, x, y]) => {\n                    // remove x and y variables from current variable list\n                    return all.filter(variable => x.findIndex(xVariable => xVariable.name === variable.name) < 0).filter(variable => !y || (y.name !== variable.name)).map(({selected, ...attrs}) => attrs);\n                }),\n                tap(() => {\n                    this.selectedFactors = [];\n                    this.selectedVariables = [];\n                })\n            );\n\n        this.currentVariables$\n            .pipe(untilDestroyed(this))\n            .subscribe(variables => {\n                this.count = variables.length;\n            });\n\n        combineLatest([this.xColumns$, this.yColumn$])\n            .pipe(untilDestroyed(this))\n            .subscribe(([x, y]) => this.toggleOptions(x, y));\n\n        combineLatest([this.configForm.statusChanges.pipe(startWith('')), this.xColumns$.pipe(startWith(xColumns))])\n        .pipe(untilDestroyed(this))\n        .subscribe(([sc, curColumns]) => {\n            const overLimit = curColumns.length > MAX_HEADER_COLUMNS;\n            this.validityChange.emit(this.configForm.valid && !overLimit);\n            if (overLimit) {\n                this.tooManySelectedVariablesWarning = `${curColumns.length} variables selected. Max is ${MAX_HEADER_COLUMNS}.`;\n            } else {\n                this.tooManySelectedVariablesWarning = '';\n            }\n            this.validityTooltipChange.emit(this.tooManySelectedVariablesWarning);\n    });\n    }\n\n    toggleOptions(xColumns: Variable[], yColumn: Variable) {\n        const xColumnTypes = xColumns\n            .map((v: Variable) => v.type)\n            .filter((v: Variable.Type, i: number, arr: Variable.Type[]) => arr.indexOf(v) === i);\n        const yColumnType = yColumn ? yColumn.type : '';\n\n        this.options.forEach((option: any) => {\n            option.enabled = !!option.variableTypes\n                .filter((type: any) => xColumnTypes.includes(type.x) && yColumnType === type.y).length;\n\n            if (option.enabled) {\n                this.configForm.get(option.id)!.enable();\n            } else {\n                this.configForm.get(option.id)!.disable();\n            }\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumns: this.params.xColumns,\n                yColumn: this.params.yColumn,\n                showBoxPlot: this.params.showBoxPlot,\n                showFrequencyTable: this.params.showFrequencyTable,\n                showHistogram: this.params.showHistogram,\n                showScatterPlot: this.params.showScatterPlot,\n                showMosaicPlot: this.params.showMosaicPlot,\n                showSummary: this.params.showSummary\n            });\n\n            this.toggleOptions(this.params.xColumns, this.params.yColumn);\n        }\n    }\n\n    add(controlName: string) {\n        const value = this.configForm.get(controlName)!.value;\n\n        this.configForm.patchValue({\n            [controlName]: Array.isArray(value) ? unselectVariables(_.unionWith(value, this.selectedVariables, identicalVariableNames)) : unselectVariable(this.selectedVariables[0])\n        });\n\n        this.selectedVariables = [];\n    }\n\n    del(controlName: string) {\n        const value = this.configForm.get(controlName)!.value;\n\n        this.configForm.patchValue({\n            [controlName]: Array.isArray(value) ? _.differenceWith(value, this.selectedFactors, identicalVariableNames) : []\n        });\n\n        this.selectedFactors = [];\n    }\n\n    get canAddX() {\n        return this.selectedVariables.length > 0;\n    }\n\n    get canAddY() {\n        const yValue = this.configForm.get('yColumn')!.value;\n\n        return this.selectedVariables.length === 1 && (typeof yValue === 'undefined' || typeof yValue.name === 'undefined');\n    }\n\n    get disabledReasonX() {\n        if (this.configForm.controls.xColumns.value.length + this.selectedVariables.length > MAX_HEADER_COLUMNS) {\n            return CANNOT_ADD_REASON.MAX_VARIABLES_EXCEEDED;\n        } else if (this.selectedVariables.length <= 0) {\n            return CANNOT_ADD_REASON.NO_VARIABLE_SELECTED;\n        }\n\n        return '';\n    }\n\n    get disabledReasonY() {\n        if (this.selectedVariables.length !== 1) {\n            return CANNOT_ADD_REASON.NOT_EXACTLY_ONE;\n        }\n\n        return '';\n    }\n\n    ngOnDestroy() {\n\n    }\n\n    onDropFactors(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n        const currentXValue = this.configForm.controls.xColumns.value;\n        let newXValue: CardWizardVariable[];\n        if (currentXValue) {\n            let spliceIndex = dropped.currentIndex;\n            newXValue = _.cloneDeep(currentXValue);\n            if (dropped.container === dropped.previousContainer) {\n                const indexes = droppedItems.map(d => newXValue.findIndex(e => e.name === d.name ));\n                indexes.splice(0, 1);\n                const offset = _.sumBy(indexes, curIndex => curIndex <= spliceIndex ? 1 : 0);\n                spliceIndex -= offset;\n                newXValue = _.differenceWith(newXValue, droppedItems, identicalVariableNames);\n            }\n            newXValue.splice(dropped.currentIndex, 0, ...droppedItems);\n        } else {\n            newXValue = droppedItems;\n        }\n        const currentYValue = this.configForm.controls.yColumn.value;\n        const newYValue = currentYValue && _.differenceWith([currentYValue], droppedItems, identicalVariableNames).length ? unselectVariable(currentYValue) : {};\n        this.configForm.patchValue({\n            xColumns: unselectVariables(newXValue),\n            yColumn: newYValue\n        });\n        this.selectedVariables = [];\n        this.selectedFactors = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n\n    onDropResponse(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n        const currentYValue = this.configForm.controls.yColumn.value;\n        const newYValue = unselectVariable(droppedItems[0]);\n        if (currentYValue === newYValue) {\n            return;\n        }\n        const currentXValue = this.configForm.controls.xColumns.value;\n        const newXValue = currentXValue ? _.differenceWith(currentXValue, [newYValue], identicalVariableNames) : currentXValue;\n        this.configForm.patchValue({\n            xColumns: unselectVariables(newXValue),\n            yColumn: newYValue\n        });\n        this.selectedVariables = [];\n        this.selectedFactors = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n\n    onDropVariables(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n\n        const currentXValue = this.configForm.controls.xColumns.value;\n        const newXValue = currentXValue ? _.differenceWith(currentXValue, droppedItems, identicalVariableNames) : currentXValue;\n\n        const currentYValue = this.configForm.controls.yColumn.value;\n        const newYValue = currentYValue && _.differenceWith([currentYValue], droppedItems, identicalVariableNames).length ? unselectVariable(currentYValue) : {};\n\n        this.configForm.patchValue({\n            xColumns: unselectVariables(newXValue),\n            yColumn: newYValue\n        });\n        this.selectedVariables = [];\n        this.selectedFactors = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n}\n","import { FormGroup, ValidatorFn, AbstractControl } from '@angular/forms';\n\n/*\n    Validate that an object is not empty\n*/\nexport function objectNotEmptyValidator(): ValidatorFn {\n    return function validate(control: AbstractControl) {\n        const value = control.value || {};\n\n        return Object.keys(value).length > 0 && value.constructor === Object ? null : {\n            objectEmpty: true\n        };\n    };\n}\n","<mat-form-field>\n    <mat-select\n        [disableOptionCentering]=\"true\"\n        [placeholder]=\"noneSelectedText\"\n        [value]=\"selectedItem\"\n        (valueChange)=\"selectItem($event)\"\n    >\n        <mat-option>\n            <ngx-mat-select-search\n                [(ngModel)]=\"filterQuery\"\n                [hideClearSearchButton]=\"true\"\n                noEntriesFoundLabel=\"No variables\"\n                placeholderLabel=\"Filter...\"\n            ></ngx-mat-select-search>\n        </mat-option>\n\n        <mat-option\n            *ngFor=\"let item of selectableItems | filter:filterQuery:'displayName'\"\n            [value]=\"item\"\n            [class.text-disabled]=\"item.disabled\"\n        >\n            <ng-container *ngTemplateOutlet=\"nameWithIcon; context: { $implicit: item } \"></ng-container>\n        </mat-option>\n        <mat-select-trigger>\n            <ng-container *ngTemplateOutlet=\"nameWithIcon; context: { $implicit: selectedItem } \"></ng-container>\n        </mat-select-trigger>\n    </mat-select>\n</mat-form-field>\n\n<ng-template #nameWithIcon let-item>\n    <span *ngIf=\"item\">\n        <i class=\"icon-font\" *ngIf=\"item.type == Variable.Type.CATEGORICAL\"></i>\n        <i class=\"icon-number\" *ngIf=\"item.type == Variable.Type.CONTINUOUS\"></i>\n        {{ item.displayName }}\n    </span>\n</ng-template>\n","import { Component, OnInit, Input, OnChanges, forwardRef, OnDestroy, ChangeDetectorRef, ChangeDetectionStrategy, SimpleChanges } from '@angular/core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Variable } from 'src/generated-sources';\nimport deepEqual from 'fast-deep-equal';\n\ninterface SelectableItem {\n    displayName: string;\n    type?: string;\n    variable?: CardWizardVariable;\n    disabled: boolean;\n}\n\nfunction toSelectableItem(variable: CardWizardVariable): SelectableItem {\n    const selectableItem: SelectableItem = {\n        displayName: variable.name,\n        type: variable.type,\n        disabled: variable.disabled || false,\n        variable,\n    }\n    return selectableItem;\n}\n\n@Component({\n    selector: 'single-variable-selector',\n    templateUrl: './single-variable-selector.component.html',\n    styleUrls: ['./single-variable-selector.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => SingleVariableSelectorComponent),\n            multi: true\n        }\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SingleVariableSelectorComponent implements OnInit, OnChanges, OnDestroy, ControlValueAccessor {\n    @Input() noVariableLabel?: string;\n    @Input() noneSelectedText = 'Select variable...';\n    @Input() variables: CardWizardVariable[];\n\n    selectParams: any;\n    selectableItems: SelectableItem[];\n    filterQuery: string;\n    selectedVariableName?: string;\n    variableTypes: string[];\n    Variable = Variable;\n\n    propagateChange = (_: any) => { };\n\n    constructor(private changeDetectorRef: ChangeDetectorRef) { }\n\n    ngOnInit() {\n        this.selectParams = {\n            noneSelectedText: this.noneSelectedText\n        };\n    }\n\n    get selectedItem(): SelectableItem | undefined {\n        return this.selectableItems.find(selectableItem => {\n            if (this.selectedVariableName) {\n                return selectableItem.variable && selectableItem.variable.name === this.selectedVariableName;\n            } else {\n                return !selectableItem.variable;\n            }\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        let newSelectableItems: SelectableItem[] = this.variables.map(toSelectableItem);\n\n        this.variableTypes = this.variables.map(variable => variable.type === Variable.Type.CONTINUOUS ? 'numerical' : 'categorical');\n\n        if (this.noVariableLabel) {\n            newSelectableItems = [{\n                displayName: this.noVariableLabel,\n                disabled: false\n            }, ...newSelectableItems];\n\n            this.variableTypes = ['', ...this.variableTypes];\n        }\n\n        if(changes.variables && !deepEqual(changes.variables.currentValue, changes.variables.previousValue)) {\n            // Work around a dku-bs-select bug which clears itself when the list changes\n            // => do not not update the list if new one is identical (most of the cases)\n            this.selectableItems = newSelectableItems;\n        }\n    }\n\n    selectItem(selectableItem?: SelectableItem) {\n        this.selectedVariableName = selectableItem?.variable?.name;\n        this.propagateChange(selectableItem && selectableItem.variable);\n    }\n\n    writeValue(value?: CardWizardVariable) {\n        this.selectedVariableName = value ? value.name : undefined;\n        this.changeDetectorRef.markForCheck();\n    }\n\n    registerOnChange(fn: (_: any) => {}) {\n        this.propagateChange = fn;\n    }\n\n    registerOnTouched() { }\n\n    ngOnDestroy() {\n\n    }\n}\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, SimpleChanges, OnChanges } from '@angular/core';\nimport { TZTest1SampCard, Variable } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Observable } from 'rxjs';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'tztest1-samp-card-config',\n  templateUrl: './tztest1-samp-card-config.component.html',\n  styleUrls: ['./tztest1-samp-card-config.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class TZTest1SampCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: TZTest1SampCard;\n    @Output() paramsChange = new EventEmitter<TZTest1SampCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    configForm = this.fb.group({\n        hypothesizedMean: this.fb.control(null, [Validators.required]),\n        column: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                column: formValue.column,\n                hypothesizedMean: formValue.hypothesizedMean\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                hypothesizedMean: this.params.hypothesizedMean,\n                column: this.params.column\n            });\n        }\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Variable\n        </label>\n        <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"column\"></single-variable-selector>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">Hypothesized mean</label>\n        <input type=\"number\" formControlName=\"hypothesizedMean\">\n    </div>    \n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, SimpleChanges, OnChanges } from '@angular/core';\nimport { SignTest1SampCard, Variable } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { Observable } from 'rxjs';\n\n@UntilDestroy()\n@Component({\n  selector: 'sign-test1-samp-card-config',\n  templateUrl: './sign-test1-samp-card-config.component.html',\n  styleUrls: ['./sign-test1-samp-card-config.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SignTest1SampCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: SignTest1SampCard;\n    @Output() paramsChange = new EventEmitter<SignTest1SampCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<Variable[]>;\n\n    configForm = this.fb.group({\n        hypothesizedMedian: this.fb.control(null, [Validators.required]),\n        column: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                column: formValue.column,\n                hypothesizedMedian: formValue.hypothesizedMedian\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                hypothesizedMedian: this.params.hypothesizedMedian,\n                column: this.params.column\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Variable\n        </label>\n        <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"column\"></single-variable-selector>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">Hypothesized median</label>\n        <input type=\"number\" formControlName=\"hypothesizedMedian\">\n    </div>    \n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, OnChanges, SimpleChanges } from '@angular/core';\nimport { ShapiroNormalityTestCard, Variable } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { Subject, Observable } from 'rxjs';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'shapiro-normality-test-card-config',\n  templateUrl: './shapiro-normality-test-card-config.component.html',\n  styleUrls: ['./shapiro-normality-test-card-config.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ShapiroNormalityTestCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: ShapiroNormalityTestCard;\n    @Output() paramsChange = new EventEmitter<ShapiroNormalityTestCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    configForm = this.fb.group({\n        column: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                column: formValue.column\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                column: this.params.column\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Variable\n        </label>\n        <div class=\"controls\">\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"column\"></single-variable-selector>\n        </div>\n    </div>  \n</form>","import { AbstractControl } from '@angular/forms';\nimport { concat, defer, of, Observable } from 'rxjs';\nimport { distinctUntilChanged } from 'rxjs/operators';\n\n// Observe a form control and make sure the current value is emitted\nexport function observeFormControl<T = any>(formControl: AbstractControl): Observable<T> {\n    return concat(\n        defer(() => of(formControl.value)),\n        formControl.valueChanges\n    );\n}\n","import { AbstractControl } from '@angular/forms';\n\n/*\n    Allows for a FormControl element (control) to be disabled/enabled based on the specified value\n    of another FormControl (conditionControl).\n\n    The enableValue callback is called if defined when the control is enabled. Angular remove the\n    value of the control when it is disabled.\n*/\nexport function toggleFormControl(control: AbstractControl, conditionControl: AbstractControl, conditionValue: any, enableValue?: Function) {\n    conditionControl.valueChanges\n        .subscribe((controlValue) => {\n            // if conditionValue is a function, call it with the controlValue as the parameter\n            const condition = typeof conditionValue === 'function' ? conditionValue(controlValue) : controlValue === conditionValue;\n\n            if (condition) {\n                control.enable();\n                if (enableValue) {\n                    enableValue(controlValue);\n                }\n            } else {\n                control.disable();\n            }\n        });\n\n    return control;\n}\n","<form [formGroup]=\"configForm\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Test Variable\n        </label>\n        <single-variable-selector [variables]=\"testVariables$ | async\" formControlName=\"xColumn\" [qa]=\"'two-sample-test-variable'\"></single-variable-selector>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">    \n            Grouping Variable\n        </label>\n        <single-variable-selector [variables]=\"groupVariables$ | async\" formControlName=\"yColumn\" [qa]=\"'two-sample-test-grouping'\"></single-variable-selector>\n    </div>\n    <ng-container *ngIf=\"configForm.get('yColumn')!.value && configForm.get('yColumn')!.value.name\">\n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input\n                    type=\"radio\"\n                    class=\"control--horizontal\"\n                    formControlName=\"groupingMethod\"\n                    value=\"auto\"\n                >\n                Build the two populations from the most frequent values\n            </label>\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input\n                    type=\"radio\"\n                    class=\"control--horizontal\"\n                    formControlName=\"groupingMethod\"\n                    value=\"manual\"\n                >\n                Define the two populations manually\n            </label>\n        </div>\n\n        <ng-container *ngIf=\"configForm.controls.groupingMethod.value === 'manual'\">\n            <p class=\"card-editor__description\">\n                Enter values of <span class=\"card-editor__strong\">{{ configForm.get('yColumn')!.value.name }}</span> to form the two populations below:\n            </p>\n            <div class=\"horizontal-flex\">\n                <div class=\"card-editor__column card-editor__column--group\" [qa]=\"'two-sample-test-population-1'\">\n                    <div class=\"control-group\">\n                        <label class=\"control-label\">\n                            Population 1\n                        </label>\n                        <values-list formControlName=\"value1\" [suggestions]=\"suggestedYValues$ | async\"></values-list>\n                    </div>\n                </div>\n                <div class=\"card-editor__column card-editor__column--group\" [qa]=\"'two-sample-test-population-2'\">\n                    <div class=\"control-group\">\n                        <label class=\"control-label\">\n                            Population 2\n                        </label>\n                        <values-list formControlName=\"value2\" [suggestions]=\"suggestedYValues$ | async\"></values-list>\n                    </div>\n                </div>\n            </div>\n        </ng-container>\n    </ng-container>\n\n    <api-error-alert\n        [apiError]=\"error\"\n        (resetError)=\"pushError(null)\"\n        [closable]=\"true\"\n    ></api-error-alert>\n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, OnChanges, SimpleChanges, ChangeDetectorRef } from '@angular/core';\nimport { Abstract2SampTestCard, Variable } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Observable, EMPTY } from 'rxjs';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { switchMap, map, shareReplay, distinctUntilChanged } from 'rxjs/operators';\nimport { observeFormControl } from '@utils/form-control-observer';\nimport { ErrorContext, APIError, catchAPIError } from '@core/dataiku-api/api-error';\nimport { toggleFormControl } from '@utils/toggle-form-control';\n\n@UntilDestroy()\n@Component({\n    selector: 'abstract-2-samp-card-config',\n    templateUrl: './abstract-2-samp-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './abstract-2-samp-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Abstract2SampCardConfigComponent implements OnInit, OnChanges, OnDestroy, ErrorContext {\n    @Input() params: Abstract2SampTestCard;\n    @Output() paramsChange = new EventEmitter<Abstract2SampTestCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    testVariables$: Observable<CardWizardVariable[]>;\n    groupVariables$: Observable<CardWizardVariable[]>;\n    suggestedYValues$: Observable<string[]>;\n    error?: APIError | null;\n\n    private groupingMethod = this.fb.control(null, [Validators.required]);\n\n    configForm = this.fb.group({\n        xColumn: this.fb.control(null, [Validators.required]),\n        yColumn: this.fb.control(null, [Validators.required]),\n        groupingMethod: this.groupingMethod,\n        value1: toggleFormControl(\n            this.fb.control(\n                { value: null, disabled: true },\n                [Validators.required, Validators.minLength(1)],\n            ),\n            this.groupingMethod,\n            'manual',\n        ),\n        value2: toggleFormControl(\n            this.fb.control(\n                { value: null, disabled: true },\n                [Validators.required, Validators.minLength(1)],\n            ),\n            this.groupingMethod,\n            'manual',\n        ),\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private sampleContextService: SampleContextService,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n        this.suggestedYValues$ = observeFormControl<Variable | null>(this.configForm.controls.yColumn).pipe(\n            map(yColumn => yColumn?.name),\n            distinctUntilChanged(),\n            switchMap(yColumnName => {\n                if (yColumnName) {\n                    return this.sampleContextService.runInteractiveQuery({\n                        type: 'list_most_frequent_values',\n                        column: yColumnName,\n                        maxValues: 100\n                    }).pipe(\n                        catchAPIError(this),\n                        map(queryResult => queryResult.values || [])\n                    )\n                }\n                return EMPTY;\n            }),\n            shareReplay(1)\n        );\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                let params = {\n                    ...this.params,\n                    xColumn: formValue.xColumn,\n                    yColumn: formValue.yColumn,\n                    value1: null,\n                    value2: null,\n                };\n\n                if (formValue.groupingMethod === 'manual') {\n                    params = {\n                        ...params,\n                        value1: formValue.value1,\n                        value2: formValue.value2,\n                    };\n                }\n\n                this.paramsChange.emit(params);\n            });\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    pushError(error: APIError | null) {\n        this.error = error;\n        this.changeDetectorRef.markForCheck();\n    }\n\n    ngOnInit() {\n        this.testVariables$ = this.cardWizardService.availableVariables(this.params.type, { isTestVariable: true });\n        this.groupVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            const isAuto = this.params.value1 == null\n                && this.params.value2 == null;\n\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                groupingMethod: isAuto ? 'auto' : 'manual',\n                value1: isAuto ? null : this.params.value1,\n                value2: isAuto ? null : this.params.value2,\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Test Variable\n        </label>\n        <single-variable-selector [variables]=\"testVariables$ | async\"\n            formControlName=\"xColumn\" [qa]=\"'n-sample-test-variable'\"></single-variable-selector>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">    \n            Grouping Variable\n        </label>\n        <single-variable-selector [variables]=\"groupVariables$ | async\"\n            formControlName=\"yColumn\" [qa]=\"'n-sample-test-grouping'\"></single-variable-selector>\n    </div>\n    <div class=\"card-editor__group\" *ngIf=\"configForm.get('yColumn')!.value && configForm.get('yColumn')!.value.name\"> \n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input type=\"radio\" class=\"control--horizontal\" formControlName=\"groupingMethod\" value=\"auto\">\n                Build groups from most frequent values\n            </label>\n        </div>\n        <div class=\"control-group control-group--child\" *ngIf=\"configForm.controls.maxGroups.enabled\">\n            <label class=\"control-label\">\n                Maximum number of groups\n            </label>\n            <input type=\"number\" class=\"card-option__input\" formControlName=\"maxGroups\">\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input type=\"radio\" class=\"control--horizontal\" formControlName=\"groupingMethod\"\n                    value=\"manual\" [qa]=\"'n-sample-test-manual-groups'\">\n                Define groups manually\n            </label>\n        </div>\n        <ng-container *ngIf=\"configForm.controls.yValues.enabled\">\n            <p class=\"card-editor__description card-editor__description--single\">Enter values of <span class=\"card-editor__strong\">{{ configForm.get('yColumn')!.value.name }}</span> to form the populations.</p>\n            <div class=\"control-group control-group--child\">\n                <values-list formControlName=\"yValues\" [suggestions]=\"suggestedYValues$ | async\" [qa]=\"'n-sample-test-group'\"></values-list>\n            </div>\n        </ng-container>\n    </div>\n    <api-error-alert\n        [apiError]=\"error\"\n        (resetError)=\"pushError(null)\"\n        [closable]=\"true\"\n    ></api-error-alert>\n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, EventEmitter, Output, SimpleChanges, OnChanges, OnDestroy, ChangeDetectorRef } from '@angular/core';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { AbstractNSampTestCard, Variable } from 'src/generated-sources';\nimport { Observable, EMPTY } from 'rxjs';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { switchMap, map, shareReplay, distinctUntilChanged } from 'rxjs/operators';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { observeFormControl } from '@utils/form-control-observer';\nimport { ErrorContext, APIError, catchAPIError } from '@core/dataiku-api/api-error';\n\n@UntilDestroy()\n@Component({\n    selector: 'abstract-n-samp-card-config',\n    templateUrl: './abstract-n-samp-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './abstract-n-samp-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class AbstractNSampCardConfigComponent implements OnInit, OnChanges, OnDestroy, ErrorContext {\n    @Input() params: AbstractNSampTestCard;\n    @Output() paramsChange = new EventEmitter<AbstractNSampTestCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    testVariables$: Observable<CardWizardVariable[]>;\n    groupVariables$: Observable<CardWizardVariable[]>;\n    suggestedYValues$: Observable<string[]>;\n    error?: APIError | null;\n\n    private groupingMethod = this.fb.control(null, [Validators.required]);\n\n    configForm = this.fb.group({\n        xColumn: this.fb.control(null, [Validators.required]),\n        yColumn: this.fb.control(null, [Validators.required]),\n        groupingMethod: this.groupingMethod,\n        yValues: toggleFormControl(this.fb.control({ value: null, disabled: true }, [Validators.required, Validators.minLength(1)]), this.groupingMethod, 'manual'),\n        maxGroups: toggleFormControl(this.fb.control({ value: null, disabled: true }, [Validators.required, Validators.min(2)]), this.groupingMethod, 'auto')\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private sampleContextService: SampleContextService,\n        private cardWizardService: CardWizardService,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n        this.suggestedYValues$ = observeFormControl<Variable | null>(this.configForm.controls.yColumn).pipe(\n            map(yColumn => yColumn?.name),\n            distinctUntilChanged(),\n            switchMap(yColumnName => {\n                if (yColumnName) {\n                    return this.sampleContextService.runInteractiveQuery({\n                        type: 'list_most_frequent_values',\n                        column: yColumnName,\n                        maxValues: 100\n                    }).pipe(\n                        catchAPIError(this),\n                        map(queryResult => queryResult.values || [])\n                    )\n                }\n                return EMPTY;\n            }),\n            shareReplay(1)\n        );\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                const params = {\n                    ...this.params,\n                    xColumn: formValue.xColumn,\n                    yColumn: formValue.yColumn\n                };\n\n                if (formValue.groupingMethod === 'auto') {\n                    params.maxGroups = formValue.maxGroups;\n                    delete params.yValues;\n                } else {\n                    params.yValues = formValue.yValues;\n                    delete params.maxGroups;\n                }\n\n                this.paramsChange.emit(params);\n            });\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    pushError(error: APIError | null) {\n        this.error = error;\n        this.changeDetectorRef.markForCheck();\n    }\n\n    ngOnInit() {\n        this.testVariables$ = this.cardWizardService.availableVariables(this.params.type, { isTestVariable: true });\n        this.groupVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                groupingMethod: this.params.yValues ? 'manual' : 'auto',\n                yValues: this.params.yValues,\n                maxGroups: this.params.maxGroups\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Test Variable\n        </label>\n        <single-variable-selector [variables]=\"testVariables$ | async\"\n            formControlName=\"xColumn\" [qa]=\"'pairwise-test-variable'\"></single-variable-selector>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Adjustment Method\n        </label>\n        <dku-bs-select-form-control [list]=\"adjustmentMethods\" formControlName=\"adjustmentMethod\"\n            ngOptions=\"v.value as v.name for v in list\" [qa]=\"'pairwise-adjustment-method'\"></dku-bs-select-form-control>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Grouping Variable\n        </label>\n        <single-variable-selector [variables]=\"groupVariables$ | async\"\n            formControlName=\"yColumn\"[qa]=\"'pairwise-grouping-variable'\"></single-variable-selector>\n    </div>\n    <div class=\"card-editor__group\" *ngIf=\"configForm.get('yColumn')!.value && configForm.get('yColumn')!.value.name\"> \n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input type=\"radio\" class=\"control--horizontal\" formControlName=\"groupingMethod\" value=\"auto\">\n                Build groups from most frequent values\n            </label>\n        </div>\n        <div class=\"control-group control-group--child\" *ngIf=\"configForm.controls.maxGroups.enabled\">\n            <label class=\"control-label\">\n                Maximum number of groups\n            </label>\n            <input type=\"number\" class=\"card-option__input\" formControlName=\"maxGroups\">\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label--flex\">\n                <input type=\"radio\" class=\"control--horizontal\" formControlName=\"groupingMethod\" value=\"manual\"\n                    [qa]=\"'pairwise-test-manual-groups'\">\n                Define groups manually\n            </label>\n        </div>\n        <ng-container *ngIf=\"configForm.controls.yValues.enabled\">\n            <p class=\"card-editor__description card-editor__description--single\">Enter values of <span class=\"card-editor__strong\">{{ configForm.get('yColumn')!.value.name }}</span> to form the populations.</p>\n            <div class=\"control-group control-group--child\">\n                <values-list formControlName=\"yValues\" [suggestions]=\"suggestedYValues$ | async\" [qa]=\"'pairwise-test-group'\"></values-list>\n            </div>\n        </ng-container>\n    </div>\n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, EventEmitter, Output, SimpleChanges, OnChanges, OnDestroy, ChangeDetectorRef } from '@angular/core';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { AbstractPairwiseTestCard, PValueAdjustmentMethod, Variable } from 'src/generated-sources';\nimport { Observable, EMPTY } from 'rxjs';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { observeFormControl } from '@utils/form-control-observer';\nimport { map, distinctUntilChanged, switchMap, shareReplay } from 'rxjs/operators';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { catchAPIError, APIError } from '@core/dataiku-api/api-error';\n\n@UntilDestroy()\n@Component({\n    selector: 'abstract-pairwise-test-card-config',\n    templateUrl: './abstract-pairwise-test-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './abstract-pairwise-test-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class AbstractPairwiseTestCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: AbstractPairwiseTestCard;\n    @Input() variables: Variable[];\n    @Output() paramsChange = new EventEmitter<AbstractPairwiseTestCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    adjustmentMethods = [{\n        name: 'None',\n        value: PValueAdjustmentMethod.NONE\n    }, {\n        name: 'Bonferroni',\n        value: PValueAdjustmentMethod.BONFERRONI\n    }, {\n        name: 'Holm-Bonferroni',\n        value: PValueAdjustmentMethod.HOLM_BONFERRONI\n    }];\n\n    testVariables$: Observable<CardWizardVariable[]>;\n    groupVariables$: Observable<CardWizardVariable[]>;\n    suggestedYValues$: Observable<string[]>;\n    error?: APIError | null;\n\n    private groupingMethod = this.fb.control(null, [Validators.required]);\n\n    configForm = this.fb.group({\n        xColumn: this.fb.control(null, [Validators.required]),\n        yColumn: this.fb.control(null, [Validators.required]),\n        groupingMethod: this.groupingMethod,\n        yValues: toggleFormControl(this.fb.control({ value: null, disabled: true }, [Validators.required, Validators.minLength(1)]), this.groupingMethod, 'manual'),\n        maxGroups: toggleFormControl(this.fb.control({ value: null, disabled: true }, [Validators.required, Validators.min(2)]), this.groupingMethod, 'auto'),\n        adjustmentMethod: this.fb.control(null, [Validators.required])\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private sampleContextService: SampleContextService,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n        this.suggestedYValues$ = observeFormControl<Variable | null>(this.configForm.controls.yColumn).pipe(\n            map(yColumn => yColumn?.name),\n            distinctUntilChanged(),\n            switchMap(yColumnName => {\n                if (yColumnName) {\n                    return this.sampleContextService.runInteractiveQuery({\n                        type: 'list_most_frequent_values',\n                        column: yColumnName,\n                        maxValues: 100\n                    }).pipe(\n                        catchAPIError(this),\n                        map(queryResult => queryResult.values || [])\n                    )\n                }\n                return EMPTY;\n            }),\n            shareReplay(1)\n        );\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                const params = {\n                    ...this.params,\n                    xColumn: formValue.xColumn,\n                    yColumn: formValue.yColumn,\n                    adjustmentMethod: formValue.adjustmentMethod\n                };\n\n                if (formValue.groupingMethod === 'auto') {\n                    params.maxGroups = formValue.maxGroups;\n                    delete params.yValues;\n                } else {\n                    params.yValues = formValue.yValues;\n                    delete params.maxGroups;\n                }\n\n                this.paramsChange.emit(params);\n            });\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    pushError(error: APIError | null) {\n        this.error = error;\n        this.changeDetectorRef.markForCheck();\n    }\n\n    ngOnInit() {\n        this.testVariables$ = this.cardWizardService.availableVariables(this.params.type, { isTestVariable: true });\n        this.groupVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                groupingMethod: this.params.yValues ? 'manual' : 'auto',\n                yValues: this.params.yValues,\n                maxGroups: this.params.maxGroups,\n                adjustmentMethod: this.params.adjustmentMethod\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, OnChanges, SimpleChanges } from '@angular/core';\nimport { Abstract2SampTestCard, Variable, Chi2IndTestCard } from 'src/generated-sources';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Observable } from 'rxjs';\n\n\n@UntilDestroy()\n@Component({\n    selector: 'chi2-ind-test-card-config',\n    templateUrl: './chi2-ind-test-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './chi2-ind-test-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Chi2IndTestCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: Chi2IndTestCard;\n    @Output() paramsChange = new EventEmitter<Chi2IndTestCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    configForm = this.fb.group({\n        xColumn: this.fb.control(null, [Validators.required]),\n        yColumn: this.fb.control(null, [Validators.required]),\n        maxValuesX: this.fb.control(null),\n        maxValuesY: this.fb.control(null)\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                xColumn: formValue.xColumn,\n                yColumn: formValue.yColumn,\n                maxValuesX: formValue.maxValuesX,\n                maxValuesY: formValue.maxValuesY\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                maxValuesX: this.params.maxValuesX,\n                maxValuesY: this.params.maxValuesY\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"horizontal-flex\">\n    <div class=\"card-editor__column\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                Variable 1\n            </label>\n            <single-variable-selector [variables]=\"allVariables$ | async\"\n                formControlName=\"xColumn\" [qa]=\"'categorical-test-variable1'\"></single-variable-selector>\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                Variable 2\n            </label>\n            <single-variable-selector [variables]=\"allVariables$ | async\"\n                formControlName=\"yColumn\" [qa]=\"'categorical-test-variable2'\"></single-variable-selector>\n        </div>\n    </div>\n    <div class=\"card-options card-editor__column\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                Maximum X Values to Display\n            </label>\n            <input type=\"number\" class=\"card-option__input\" formControlName=\"maxValuesX\"\n                [qa]=\"'categorical-test-variable1-max-values'\">\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                Maximum Y Values to Display\n            </label>\n            <input type=\"number\" class=\"card-option__input\" formControlName=\"maxValuesY\"\n            [qa]=\"'categorical-test-variable2-max-values'\">\n        </div>\n    </div>\n</form>","import { FormGroup, ValidatorFn, AbstractControl } from '@angular/forms';\n\n/*\n    Validate that an object is not empty\n*/\nexport function isIntegerValidator(): ValidatorFn {\n    return function validate(control: AbstractControl) {\n        const value = control.value;\n\n        return Number.isInteger(value) ? null : {\n            isNotInteger: true\n        };\n    };\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal dkuform-modal-horizontal--wizard\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Variable\n        </label>\n        <div class=\"controls\">\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"column\"></single-variable-selector>\n        </div>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Distributions\n        </label>\n        <div class=\"controls\">\n            <div class=\"card-editor__rows\">\n                <editable-list \n                    [itemsFormArray]=\"configForm.get('distributions')\"\n                    [hasDivider]=\"false\"\n                    [focusOnEnter]=\"false\"\n                    addLabel=\"Add a distribution\"   \n                >\n                    <ng-template let-item=\"item\" let-index=\"index\" let-goToNext=\"goToNext\">\n                        <editable-list-template (onInputEnter)=\"goToNext($event)\">\n                            <div class=\"card-editor__row\">\n                                <div class=\"card-editor__control\">\n                                    <div class=\"controls controls--no-label editable-list__input--child-underline\">\n                                        <dku-bs-select-form-control [list]=\"fitDistributions\" [formControl]=\"item.get('distribution.type')\" ngOptions=\"v.value as v.name for v in list\"></dku-bs-select-form-control>\n                                    </div>\n                                </div>\n                                <div class=\"card-editor__control mleft8\" *ngIf=\"item.get('distribution.nbComponents')?.enabled\">\n                                    <div class=\"controls controls--no-label\">\n                                        with <input type=\"number\" class=\"editable-list__input editable-list__input--underline card-editor__control-param\" [formControl]=\"item.get('distribution.nbComponents')\"> components\n                                    </div>\n                                </div>\n                            </div>\n                        </editable-list-template>\n                    </ng-template>\n                </editable-list>\n            </div>\n        </div>\n    </div>\n</form>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, EventEmitter, Output, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { FormBuilder, Validators, FormArray } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { FitDistributionCard, Variable } from 'src/generated-sources';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { Observable } from 'rxjs';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { isIntegerValidator } from '@utils/is-integer-validator';\n\n@UntilDestroy()\n@Component({\n    selector: 'fit-distribution-card-config',\n    templateUrl: './fit-distribution-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './fit-distribution-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FitDistributionCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: FitDistributionCard;\n    @Input() variables: Variable[];\n    @Output() paramsChange = new EventEmitter<FitDistributionCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    fitDistributions = [{\n        name: 'Beta',\n        value: 'beta'\n    }, {\n        name: 'Exponential',\n        value: 'exponential'\n    }, {\n        name: 'Laplace',\n        value: 'laplace'\n    }, {\n        name: 'LogNormal',\n        value: 'lognormal'\n    }, {\n        name: 'Normal',\n        value: 'normal'\n    }, {\n        name: 'Normal mixture',\n        value: 'normal_mixture'\n    }, {\n        name: 'Pareto',\n        value: 'pareto'\n    }, {\n        name: 'Triangular',\n        value: 'triangular'\n    }, {\n        name: 'Weibull',\n        value: 'weibull'\n    }];\n\n    distributions = new FormArrayRepeat(() => {\n        const type = this.fb.control('beta', [Validators.required]);\n\n        const group = this.fb.group({\n            distribution: this.fb.group({\n                type,\n                nbComponents: toggleFormControl(this.fb.control({ value: 2, disabled: true }, [Validators.required, Validators.min(1), isIntegerValidator()]), type, 'normal_mixture')\n            })\n        });\n\n        return group;\n    });\n\n    configForm = this.fb.group({\n        column: this.fb.control(null, [Validators.required]),\n        distributions: this.distributions\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                column: formValue.column,\n                distributions: formValue.distributions\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                column: this.params.column,\n                distributions: this.params.distributions\n            });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"horizontal-flex\">\n    <div class=\"card-editor__column\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                X Variable\n            </label>\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"xColumn\"></single-variable-selector>\n        </div>\n        <div class=\"control-group\">\n            <label class=\"control-label\">\n                Y Variable\n            </label>\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"yColumn\"></single-variable-selector>\n        </div>\n    </div>\n    <div class=\"card-editor__column\">\n        <div class=\"controls\" formGroupName=\"distribution\">\n            <div class=\"control-group\">\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"radio\" class=\"control\" formControlName=\"type\" value=\"kde_2d\">\n                    2D KDE\n                </label>\n            </div>\n            <div class=\"control-group\">\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"radio\" class=\"control\" formControlName=\"type\" value=\"joint_normal\">\n                    Joint Normal\n                </label>\n            </div>\n            <div class=\"control-group\" *ngIf=\"distributionGroup.controls.x_relative_bandwidth.enabled\">\n                <label class=\"control-label\">\n                    X relative bandwidth (%)\n                </label>\n                <div class=\"controls\">\n                    <input type=\"number\" formControlName=\"x_relative_bandwidth\"  matTooltip=\"Factor for scaling the horizontal KDE bandwidth, as a percentage of the standard deviation of X\">\n                </div>\n                <label class=\"control-label\">\n                    Y relative bandwidth (%)\n                </label>\n                <div class=\"controls\">\n                    <input type=\"number\" formControlName=\"y_relative_bandwidth\"  matTooltip=\"Factor for scaling the vertical KDE bandwidth, as a percentage of the standard deviation of Y\">\n                </div>\n            </div>\n\n        </div>\n    </div>\n</form>","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnDestroy, OnChanges, SimpleChanges } from '@angular/core';\nimport { Abstract2SampTestCard, Variable, Fit2DDistributionCard } from 'src/generated-sources';\nimport { FormBuilder, Validators, FormGroup } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Observable } from 'rxjs';\nimport { toggleFormControl } from '@utils/toggle-form-control';\n\n@UntilDestroy()\n@Component({\n    selector: 'fit-2d-distribution-card-config',\n    templateUrl: './fit-2d-distribution-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/forms.less',\n        '../../../../shared-styles/card-wizard.less',\n        './fit-2d-distribution-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Fit2DDistributionCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: Fit2DDistributionCard;\n    @Input() variables: Variable[];\n    @Output() paramsChange = new EventEmitter<Fit2DDistributionCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    configForm: FormGroup;\n\n    distributionGroup: FormGroup;\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        const type = this.fb.control('kde_2d', [Validators.required]);\n        this.distributionGroup = this.fb.group({\n            type,\n            x_relative_bandwidth: toggleFormControl(this.fb.control({ value: 15, disabled: true }, [Validators.required, Validators.min(1), Validators.max(100)]), type, 'kde_2d'),\n            y_relative_bandwidth: toggleFormControl(this.fb.control({ value: 15, disabled: true }, [Validators.required, Validators.min(1), Validators.max(100)]), type, 'kde_2d')\n        });\n\n        this.configForm = this.fb.group({\n            xColumn: this.fb.control(null, [Validators.required]),\n            yColumn: this.fb.control(null, [Validators.required]),\n            distribution: this.distributionGroup\n        });\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                xColumn: formValue.xColumn,\n                yColumn: formValue.yColumn,\n                distribution: formValue.distribution\n            }));\n\n\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                distribution: this.params.distribution\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal dkuform-modal-horizontal--wizard\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            X Variable\n        </label>\n        <div class=\"controls\">\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"xColumn\"></single-variable-selector>\n        </div>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Y Variable\n        </label>\n        <div class=\"controls\">\n            <single-variable-selector [variables]=\"allVariables$ | async\" formControlName=\"yColumn\"></single-variable-selector>\n        </div>\n    </div>\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Curves\n        </label>\n        <div class=\"controls\">\n            <div class=\"card-editor__rows\">\n                <editable-list \n                    [itemsFormArray]=\"configForm.get('curves')\"\n                    [hasDivider]=\"false\"\n                    [focusOnEnter]=\"false\"\n                    addLabel=\"Add a curve\"   \n                >\n                    <ng-template let-item=\"item\" let-index=\"index\" let-goToNext=\"goToNext\">\n                        <editable-list-template (onInputEnter)=\"goToNext($event)\">\n                            <div class=\"card-editor__row\" >\n                                <div class=\"card-editor__control\">\n                                    <div class=\"controls controls--no-label editable-list__input--child-underline\">\n                                        <dku-bs-select-form-control [list]=\"fitCurves\" [formControl]=\"item.get('type')\"  ngOptions=\"v.value as v.name for v in list\"></dku-bs-select-form-control>\n                                    </div>\n                                </div>\n                                <div class=\"card-editor__control mleft8\" *ngIf=\"item.get('degree')?.enabled\">\n                                    <div class=\"controls controls--no-label\">\n                                        with degree \n                                        <input type=\"number\" class=\"editable-list__input editable-list__input--underline card-editor__control-param\" [formControl]=\"item.get('degree')\">\n                                    </div>\n                                </div>\n                            </div>\n                        </editable-list-template>\n                    </ng-template>\n                </editable-list>\n            </div>\n        </div>\n    </div>\n</form>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, EventEmitter, Output, SimpleChanges, OnChanges, OnDestroy } from '@angular/core';\nimport { FormBuilder, Validators, FormArray, FormGroup, FormControl } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { FitCurveCard, Variable, Curve, isPolynomialCurve } from 'src/generated-sources';\nimport { FormArrayRepeat } from '@utils/form-array-repeat';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { Observable } from 'rxjs';\nimport { isIntegerValidator } from '@utils/is-integer-validator';\n\n@UntilDestroy()\n@Component({\n    selector: 'fit-curve-card-config',\n    templateUrl: './fit-curve-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './fit-curve-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FitCurveCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: FitCurveCard;\n    @Input() variables: Variable[];\n    @Output() paramsChange = new EventEmitter<FitCurveCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    fitCurves = [{\n        name: 'Polynomial',\n        value: 'polynomial'\n    }, {\n        name: 'Isotonic',\n        value: 'isotonic'\n    }];\n\n    curves = new FormArrayRepeat(() => {\n        const type = this.fb.control('polynomial', [Validators.required]);\n\n        const group = this.fb.group({\n            type,\n            degree: toggleFormControl(this.fb.control(2, [Validators.required, Validators.min(0), isIntegerValidator()]), type, 'polynomial')\n        });\n\n        return group;\n    });\n\n    configForm = this.fb.group({\n        xColumn: this.fb.control(null, [Validators.required]),\n        yColumn: this.fb.control(null, [Validators.required]),\n        curves: this.curves\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => this.paramsChange.emit({\n                ...this.params,\n                xColumn: formValue.xColumn,\n                yColumn: formValue.yColumn,\n                curves: formValue.curves\n            }));\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => this.validityChange.emit(this.configForm.valid));\n    }\n\n    ngOnInit() {\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                xColumn: this.params.xColumn,\n                yColumn: this.params.yColumn,\n                curves: this.params.curves\n            });\n        }\n    }\n\n    ngOnDestroy() {\n\n    }\n}\n","<form [formGroup]=\"configForm\" id=\"config-form\">\n    <div cdkDropListGroup class=\"card-header-editor horizontal-flex\">\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">1. Select variables</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">\n                    {{ count }} available variables\n                </h4>\n            </div>\n            <list-box [list]=\"currentVariables$ | async\" [countTitle]=\"'available variables'\"\n                [disabledMessage]=\"'Variable must be numerical.'\"\n                class=\"vertical-flex card-header-editor__list\"\n                (select)=\"selectedAvailableVariables = $event\"\n                (dropped)=\"onDropVariables($event)\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                dragDropable=\"true\">\n            </list-box>\n            <div class=\"card-header-editor__footnote\">\n                <i class=\"icon-lightbulb\"></i> Use <strong>Shift + Click</strong> to select a range of variables.\n            </div>\n        </div>\n        <div class=\"card-header-editor__column\">\n            <span class=\"card-header-editor__description\">2. Add variables</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\"\n                    [matTooltip]=\"tooManySelectedVariablesWarning\">\n                    {{ configForm.value.columns.length }} selected variables <i *ngIf=\"tooManySelectedVariablesWarning\" class=\"icon-warning-sign text-error\"></i>\n                </h4>\n                <div>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"add()\"\n                        [disabled]=\"!canAdd\"\n                        [qa]=\"{'eda-add-variables-button': {as: 'variable'}}\">\n                        <i class=\"icon-plus\"></i>\n                    </button>\n                    <button class=\"btn btn--text btn--primary btn--icon\" (click)=\"del()\"\n                        [disabled]=\"selectedSelectedVariables.length < 1\"\n                        [qa]=\"{'eda-del-variables-button': {as: 'variable'}}\">\n                        <i class=\"icon-trash\"></i>\n                    </button>\n                </div>\n            </div>\n            <list-box-form-control formControlName=\"columns\"\n                class=\"vertical-flex card-header-editor__list\"\n                dragDropable=\"true\"\n                sortDraggable=\"true\"\n                multiselectable=\"true\"\n                placeHolderText=\"(Drag variable(s) here)\"\n                (dropped)=\"onDropAdd($event)\"\n                (select)=\"selectedSelectedVariables = $event\"></list-box-form-control>\n        </div>\n        <div class=\"card-header-editor__column\" *ngIf=\"hasOptionalParameters(params)\">\n            <span class=\"card-header-editor__description\">3. Select options</span>\n            <div class=\"card-header-editor__header\">\n                <h4 class=\"card-header-editor__title\">Options</h4>\n            </div>\n            <div class=\"card-header-editor__options\" *ngIf=\"isParallelCoordinatesPlotCard(params)\" formGroupName=\"pcpOptions\">\n                <div class=\"control-group\">\n                    <label class=\"control-label control-label\">\n                        Maximum number of points\n                        <i class=\"icon-dku-help\"\n                            matTooltip=\"The points are randomly drawn from the sample of the worksheet\"\n                        ></i>\n                    </label>\n                    <input\n                        type=\"number\"\n                        class=\"control\"\n                        formControlName=\"maxNumberOfPoints\"\n                        [qa]=\"'maximum-number-of-points'\"\n                    >\n                </div>\n            </div>\n            <div class=\"card-header-editor__options\" *ngIf=\"isCorrelationMatrixCard(params)\" formGroupName=\"correlationMatrixOptions\">\n                <div class=\"control-group\">\n                    <label class=\"control-label control-label--flex\">\n                        <input type=\"radio\" class=\"control\" formControlName=\"metric\" [value]=\"CorrelationMetric.SPEARMAN\"\n                            [qa]=\"{'eda-select-correlation-metric-radio': {metric: 'SPEARMAN'}}\">\n                        Spearman\n                    </label>\n                </div>\n                <div class=\"control-group\">\n                    <label class=\"control-label control-label--flex\">\n                        <input type=\"radio\" class=\"control\" formControlName=\"metric\" [value]=\"CorrelationMetric.PEARSON\"\n                        [qa]=\"{'eda-select-correlation-metric-radio': {metric: 'PEARSON'}}\">\n                        Pearson\n                    </label>\n                </div>\n            </div>\n            <div class=\"card-header-editor__options\" *ngIf=\"isPCACard(params)\" formGroupName=\"pcaOptions\">\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"checkbox\" class=\"control\" formControlName=\"showScreePlot\" />\n                    Scree plot\n                </label>\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"checkbox\" class=\"control\" formControlName=\"showScatterPlot\" />\n                    Scatter plot\n                </label>\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"checkbox\" class=\"control\" formControlName=\"showLoadingPlot\" />\n                    Loading plot\n                </label>\n                <label class=\"control-label control-label--flex\">\n                    <input type=\"checkbox\" class=\"control\" formControlName=\"showComponents\" />\n                    Principal components\n                </label>\n            </div>\n        </div>\n    </div>\n</form>\n","import { Component, OnInit, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, SimpleChanges, OnDestroy } from '@angular/core';\nimport _ from 'lodash';\nimport { MultivariateCard, Variable, CorrelationMatrixCard, isCorrelationMatrixCard, ParallelCoordinatesPlotCard, isParallelCoordinatesPlotCard, isPCACard, PCACard } from 'src/generated-sources';\nimport { Observable, combineLatest } from 'rxjs';\nimport { FormBuilder, Validators } from '@angular/forms';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { map, startWith, tap } from 'rxjs/operators';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { CardWizardService } from '../../../card-wizard/card-wizard.service';\nimport { MAX_HEADER_COLUMNS, CANNOT_ADD_REASON, identicalVariableNames, unselectVariables, enableVariables } from '@features/eda/card-utils';\nimport { CdkDragDrop } from '@angular/cdk/drag-drop';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { minCheckedValidator } from '@utils/min-checked-validator';\n\n@UntilDestroy()\n@Component({\n    selector: 'multivariate-card-config',\n    templateUrl: './multivariate-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './multivariate-card-config.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class MultivariateCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: MultivariateCard;\n    @Input() variables: CardWizardVariable[];\n    @Output() paramsChange = new EventEmitter<MultivariateCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n    @Output() validityTooltipChange = new EventEmitter<string>(true);\n    CorrelationMetric = CorrelationMatrixCard.CorrelationMetric;\n    isCorrelationMatrixCard = isCorrelationMatrixCard;\n    isParallelCoordinatesPlotCard = isParallelCoordinatesPlotCard;\n    isPCACard = isPCACard;\n\n    allVariables$: Observable<CardWizardVariable[]>;\n    columns$: Observable<Variable[]>;\n    currentVariables$: Observable<CardWizardVariable[]>;\n    selectedAvailableVariables = [];\n    selectedSelectedVariables = [];\n    count = 0;\n    tooManySelectedVariablesWarning = '';\n\n    configForm = this.fb.group({\n        // Common settings\n        columns: this.fb.control([], [\n            Validators.required,\n            Validators.minLength(2)\n        ]),\n\n        // Type of the configurated card (not editable in the UI)\n        type: this.fb.control('', Validators.required),\n\n        // Correlation matrix\n        correlationMatrixOptions: this.fb.group({\n            metric: this.fb.control(CorrelationMatrixCard.CorrelationMetric.SPEARMAN, [Validators.required])\n        }),\n\n        // Parallel coordinates plot\n        pcpOptions: this.fb.group({\n            maxNumberOfPoints: this.fb.control(null, [\n                Validators.required,\n                Validators.min(1)\n            ]),\n        }),\n\n        // PCA card\n        pcaOptions: this.fb.group({\n            showScatterPlot: this.fb.control(null),\n            showLoadingPlot: this.fb.control(null),\n            showScreePlot: this.fb.control(null),\n            showComponents: this.fb.control(null)\n        },\n        {\n            validator: minCheckedValidator([\n                'showScatterPlot',\n                'showLoadingPlot',\n                'showScreePlot',\n                'showComponents'\n            ])\n        })\n    });\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private wt1Service: WT1Service\n    ) {\n        toggleFormControl(this.configForm.controls.correlationMatrixOptions, this.configForm.controls.type, 'correlation_matrix');\n        toggleFormControl(this.configForm.controls.pcpOptions, this.configForm.controls.type, 'parallel_coordinates_plot');\n        toggleFormControl(this.configForm.controls.pcaOptions, this.configForm.controls.type, 'pca');\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                let changedParams: MultivariateCard = {\n                    ...this.params,\n                    columns: formValue.columns,\n                };\n\n                if (isCorrelationMatrixCard(this.params)) {\n                    changedParams = { ...changedParams, ...formValue.correlationMatrixOptions };\n                } else if (isParallelCoordinatesPlotCard(this.params)) {\n                    changedParams = { ...changedParams, ...formValue.pcpOptions };\n                } else if (isPCACard(this.params)) {\n                    changedParams = { ...changedParams, ...formValue.pcaOptions };\n                }\n\n                this.paramsChange.emit(changedParams);\n            });\n    }\n\n    hasOptionalParameters(params: MultivariateCard) {\n        return isCorrelationMatrixCard(params)\n            || isParallelCoordinatesPlotCard(params)\n            || isPCACard(params);\n    }\n\n    ngOnInit() {\n        const columns = this.configForm.controls.columns.value as Variable[]; // need starting value for combineLatest\n        this.allVariables$ = this.cardWizardService.availableVariables(this.params.type);\n        this.columns$ = this.configForm.controls.columns.valueChanges;\n\n        this.currentVariables$ = combineLatest([this.allVariables$, this.columns$.pipe(startWith(columns))])\n            .pipe(\n                map(([all, column]) => {\n                    // remove x variables from current variable list\n                    return all.filter(variable => column.findIndex(columnVariable => columnVariable.name === variable.name) < 0).map(({selected, ...attrs}) => attrs);\n                }),\n                tap(() => {\n                    this.selectedSelectedVariables = [];\n                    this.selectedSelectedVariables = [];\n                })\n            );\n\n        this.currentVariables$\n            .pipe(untilDestroyed(this))\n            .subscribe(variables => {\n                this.count = variables.filter(v => !v.disabled).length;\n            });\n\n        combineLatest([this.configForm.statusChanges.pipe(startWith('')), this.columns$.pipe(startWith(columns))])\n            .pipe(untilDestroyed(this))\n            .subscribe(([sc, curColumns]) => {\n                const overLimit = curColumns.length > MAX_HEADER_COLUMNS;\n                this.validityChange.emit(this.configForm.valid && !overLimit);\n                if (overLimit) {\n                    this.tooManySelectedVariablesWarning = `${curColumns.length} variables selected. Max is ${MAX_HEADER_COLUMNS}.`;\n                } else {\n                    this.tooManySelectedVariablesWarning = '';\n                }\n                this.validityTooltipChange.emit(this.tooManySelectedVariablesWarning);\n            });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.configForm.patchValue({\n                type: this.params.type,\n                columns: this.params.columns,\n            })\n\n            if (isCorrelationMatrixCard(this.params)) {\n                this.configForm.controls.correlationMatrixOptions.patchValue({\n                    metric: this.params.metric\n                });\n            } else if (isParallelCoordinatesPlotCard(this.params)) {\n                this.configForm.controls.pcpOptions.patchValue({\n                    maxNumberOfPoints: this.params.maxNumberOfPoints\n                });\n            } else if(isPCACard(this.params)) {\n                this.configForm.controls.pcaOptions.patchValue({\n                    showScatterPlot: this.params.showScatterPlot,\n                    showLoadingPlot: this.params.showLoadingPlot,\n                    showScreePlot: this.params.showScreePlot,\n                    showComponents: this.params.showComponents\n                });\n            }\n        }\n    }\n\n    add() {\n        let columns = this.configForm.controls.columns.value.concat(this.selectedAvailableVariables);\n        columns = unselectVariables(columns);\n        columns = enableVariables(columns);\n\n        this.configForm.patchValue({ columns });\n        this.selectedAvailableVariables = [];\n    }\n\n    del() {\n        const value = this.configForm.controls.columns.value;\n\n        this.configForm.patchValue({\n            columns: Array.isArray(value) ? _.differenceWith(value, this.selectedSelectedVariables, identicalVariableNames) : []\n        });\n\n        this.selectedSelectedVariables = [];\n    }\n\n    get canAdd() {\n        return this.selectedAvailableVariables.length > 0;\n    }\n\n    get disabledReason() {\n        if (this.configForm.controls.columns.value.length + this.selectedAvailableVariables.length > MAX_HEADER_COLUMNS) {\n            return CANNOT_ADD_REASON.MAX_VARIABLES_EXCEEDED;\n        } else if (this.selectedAvailableVariables.length <= 0) {\n            return CANNOT_ADD_REASON.NO_VARIABLE_SELECTED;\n        }\n\n        return '';\n    }\n\n    ngOnDestroy() {\n\n    }\n\n    onDropAdd(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n        const currentValue = this.configForm.controls.columns.value;\n        let newValue: CardWizardVariable[];\n        if (currentValue) {\n            let spliceIndex = dropped.currentIndex;\n            newValue = _.cloneDeep(currentValue);\n            if (dropped.container === dropped.previousContainer) {\n                const indexes = droppedItems.map(d => newValue.findIndex(e => e.name === d.name ));\n                indexes.splice(0, 1);\n                const offset = _.sumBy(indexes, curIndex => curIndex <= spliceIndex ? 1 : 0);\n                spliceIndex -= offset;\n                newValue = _.differenceWith(newValue, droppedItems, identicalVariableNames);\n            }\n            newValue.splice(spliceIndex, 0, ...droppedItems);\n        } else {\n            newValue = droppedItems;\n        }\n        this.configForm.patchValue({\n            columns: unselectVariables(newValue)\n        });\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n\n    onDropVariables(dropped: CdkDragDrop<CardWizardVariable[]>): void {\n        const droppedItems: CardWizardVariable[] = dropped.item.data;\n        droppedItems.forEach(v => v.selected = false);\n\n        const currentValue = this.configForm.controls.columns.value;\n        const newValue = currentValue ? _.differenceWith(currentValue, droppedItems, identicalVariableNames) : currentValue;\n\n        this.configForm.patchValue({\n            columns: unselectVariables(newValue)\n        });\n        this.selectedAvailableVariables = [];\n        this.selectedSelectedVariables = [];\n        this.wt1Service.event('statistics-drag-drop-variables', { droppedCount: dropped.item.data.length });\n    }\n}\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, OnChanges, OnDestroy, OnInit, Output, SimpleChanges } from \"@angular/core\";\nimport { FormBuilder, Validators } from \"@angular/forms\";\nimport { CardWizardVariable } from \"@features/eda/card-models\";\nimport { CardWizardService } from \"@features/eda/worksheet/card-wizard/card-wizard.service\";\nimport { UntilDestroy, untilDestroyed } from \"@ngneat/until-destroy\";\nimport { Observable } from \"rxjs\";\nimport { ScatterPlot3DCard } from \"src/generated-sources\";\n\n@UntilDestroy()\n@Component({\n    selector: 'scatter-plot-3d-card-config',\n    templateUrl: './scatter-plot-3d-card-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-wizard.less',\n        './scatter-plot-3d-card-config.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ScatterPlot3DCardConfigComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() params: ScatterPlot3DCard;\n    @Input() variables: CardWizardVariable[];\n    @Output() paramsChange = new EventEmitter<ScatterPlot3DCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    allVariables$: Observable<CardWizardVariable[]>;\n\n    configForm = this.formBuilder.group({\n        xColumn: this.formBuilder.control(null, Validators.required),\n        yColumn: this.formBuilder.control(null, Validators.required),\n        zColumn: this.formBuilder.control(null, Validators.required),\n        symbolSize: this.formBuilder.control(null, [\n            Validators.min(1),\n            Validators.max(20),\n            Validators.required\n        ]),\n        maxNumberOfPoints: this.formBuilder.control(null, [\n            Validators.min(1),\n            Validators.required,\n        ]),\n    });\n\n    constructor(\n        private formBuilder: FormBuilder,\n        private cardWizardService: CardWizardService\n    ) {\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe((formValue) => {\n                const {\n                    xColumn,\n                    yColumn,\n                    zColumn,\n                    symbolSize,\n                    maxNumberOfPoints,\n                } = formValue;\n\n                const updatedCard = {\n                    ...this.params,\n                    xColumn,\n                    yColumn,\n                    zColumn,\n                    symbolSize,\n                    maxNumberOfPoints,\n                };\n\n                this.paramsChange.emit(updatedCard);\n            });\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => {\n                const { valid } = this.configForm;\n                this.validityChange.emit(valid);\n            });\n    }\n\n    ngOnInit() {\n        const { type } = this.params;\n        this.allVariables$ = this.cardWizardService.availableVariables(type);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            const {\n                xColumn,\n                yColumn,\n                zColumn,\n                symbolSize,\n                maxNumberOfPoints\n            } = this.params;\n\n            this.configForm.patchValue({\n                xColumn,\n                yColumn,\n                zColumn,\n                symbolSize,\n                maxNumberOfPoints,\n            });\n        }\n    }\n\n    ngOnDestroy() {\n        // left empty but required by `untilDestroyed`.\n    }\n}\n","<form [formGroup]=\"configForm\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            X variable\n        </label>\n        <single-variable-selector\n            [variables]=\"allVariables$ | async\"\n            formControlName=\"xColumn\"\n            [qa]=\"'scatter-plot-3d-x-variable'\"\n        ></single-variable-selector>\n    </div>\n\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Y variable\n        </label>\n        <single-variable-selector\n            [variables]=\"allVariables$ | async\"\n            formControlName=\"yColumn\"\n            [qa]=\"'scatter-plot-3d-y-variable'\"\n        ></single-variable-selector>\n    </div>\n\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Z variable\n        </label>\n        <single-variable-selector\n            [variables]=\"allVariables$ | async\"\n            formControlName=\"zColumn\"\n            [qa]=\"'scatter-plot-3d-z-variable'\"\n        ></single-variable-selector>\n    </div>\n\n    <div class=\"control-group\">\n        <label class=\"control-label\">Symbol size</label>\n        <input\n            type=\"number\"\n            formControlName=\"symbolSize\"\n        >\n    </div>\n\n    <div class=\"control-group\">\n        <label class=\"control-label\">\n            Max number of points\n            <i class=\"icon-dku-help\"\n                matTooltip=\"The points are randomly drawn from the sample of the worksheet\"\n            ></i>\n        </label>\n        <input\n            type=\"number\"\n            formControlName=\"maxNumberOfPoints\"\n            [qa]=\"'maximum-number-of-points'\"\n        >\n    </div>\n</form>\n","<form [formGroup]=\"configForm\" id=\"config-form\" class=\"dkuform-modal-horizontal\">\n    <div class=\"control-group\" [qa]=\"'ts-series-variable'\">\n        <label class=\"control-label\">Series variable</label>\n        <single-variable-selector\n            [variables]=\"seriesVariables$ | async\"\n            formControlName=\"seriesColumn\"\n        ></single-variable-selector>\n    </div>\n\n    <div class=\"control-group\" [qa]=\"'ts-time-variable'\">\n        <label class=\"control-label\">\n            Time variable\n            <i class=\"icon-info-sign mleft4\" matTooltip=\"The time variable must hold ISO8601 formatted date times\"></i>\n        </label>\n        <single-variable-selector\n            [variables]=\"timeVariables$ | async\"\n            formControlName=\"timeColumn\"\n        ></single-variable-selector>\n    </div>\n\n    <div class=\"control-group\" [qa]=\"'ts-use-long-format'\">\n        <label class=\"control-label\">Data has multiple series (long format)</label>\n        <input type=\"checkbox\" class=\"control\" formControlName=\"useLongFormat\" />\n    </div>\n\n    <div class=\"control-group identifiers\" *ngIf=\"useLongFormat\" [qa]=\"'ts-series-id'\">\n        <label class=\"control-label\">Select a single time series</label>\n\n        <editable-list\n            *ngIf=\"uiData$ | async as uiData\"\n            [itemsFormArray]=\"configForm.get('seriesIdColumns')\"\n            [hasDivider]=\"false\"\n            [focusOnEnter]=\"false\"\n            addLabel=\"Add identifier\"\n        >\n            <ng-template\n                let-item=\"item\"\n                let-index=\"index\"\n                let-goToNext=\"goToNext\"\n            >\n                <editable-list-template (onInputEnter)=\"goToNext($event)\" [qa]=\"'ts-series-id-' + index\">\n                    <div class=\"identifier-column\" [qa]=\"'ts-series-id-column'\">\n                        <single-variable-selector\n                            [variables]=\"uiData.selectableColumns[index] || []\"\n                            [formControl]=\"item.get('column')\"\n                        ></single-variable-selector>\n                    </div>\n\n                    <div class=\"identifier-value\" [qa]=\"'ts-series-id-value'\">\n                        <editable-list-input\n                            [inputControl]=\"item.get('value')\"\n                            [suggestions]=\"uiData.suggestedValues[(item.get('column')?.value?.name)] || []\"\n                            placeholder=\"Identifier value\"\n                            autocomplete=\"off\"\n                        ></editable-list-input>\n                    </div>\n                </editable-list-template>\n            </ng-template>\n        </editable-list>\n    </div>\n\n    <ng-container [ngSwitch]=\"params.type\">\n        <ng-container *ngSwitchCase=\"'unit_root_test_adf'\" formGroupName=\"adfOptions\">\n            <div class=\"control-group\">\n                <label class=\"control-label\">Regression mode</label>\n                <dku-bs-select-form-control\n                    [list]=\"adfRegressionOptions\"\n                    formControlName=\"regressionMode\"\n                    ngOptions=\"v.value as v.name for v in list\"\n                ></dku-bs-select-form-control>\n            </div>\n        </ng-container>\n\n        <ng-container *ngSwitchCase=\"'unit_root_test_za'\" formGroupName=\"zaOptions\">\n            <div class=\"control-group\">\n                <label class=\"control-label\">Regression mode</label>\n                <dku-bs-select-form-control\n                    [list]=\"zaRegressionOptions\"\n                    formControlName=\"regressionMode\"\n                    ngOptions=\"v.value as v.name for v in list\"\n                ></dku-bs-select-form-control>\n            </div>\n        </ng-container>\n\n        <ng-container *ngSwitchCase=\"'unit_root_test_kpss'\" formGroupName=\"kpssOptions\">\n            <div class=\"control-group\">\n                <label class=\"control-label\">Regression mode</label>\n                <dku-bs-select-form-control\n                    [list]=\"kpssRegressionOptions\"\n                    formControlName=\"regressionMode\"\n                    ngOptions=\"v.value as v.name for v in list\"\n                ></dku-bs-select-form-control>\n            </div>\n        </ng-container>\n\n        <ng-container *ngSwitchCase=\"'acf_plot'\" formGroupName=\"acfPlotOptions\">\n            <div class=\"control-group\">\n                <label class=\"control-label\">Show series summary</label>\n                <input type=\"checkbox\" class=\"control\" formControlName=\"showSummary\" />\n            </div>\n\n            <div class=\"control-group\">\n                <label class=\"control-label\">Compute partial auto-correlation</label>\n                <input type=\"checkbox\" class=\"control\" formControlName=\"isPartial\" />\n            </div>\n\n            <div class=\"control-group\" *ngIf=\"isPartialACF\">\n                <label class=\"control-label\">Method</label>\n                <dku-bs-select-form-control\n                    [list]=\"pacfMethodOptions\"\n                    formControlName=\"pacfMethod\"\n                    ngOptions=\"v.value as v.name for v in list\"\n                ></dku-bs-select-form-control>\n            </div>\n\n            <div class=\"control-group\" *ngIf=\"!isPartialACF\">\n                <label class=\"control-label\">Adjust for the loss of data</label>\n                <input type=\"checkbox\" class=\"control\" formControlName=\"adjusted\" />\n            </div>\n        </ng-container>\n    </ng-container>\n\n    <ng-container *ngIf=\"isAutoComputeLagsEnabled\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">Automatically compute the lags</label>\n            <input type=\"checkbox\" class=\"control\" formControlName=\"autoComputeLags\" />\n        </div>\n\n        <div class=\"control-group\" *ngIf=\"!autoComputeLags\">\n            <label class=\"control-label\">Number of lags</label>\n            <input type=\"number\" class=\"control\" formControlName=\"nLags\" min=\"1\" />\n        </div>\n    </ng-container>\n\n    <api-error-alert\n        [apiError]=\"error\"\n        (resetError)=\"pushError(null)\"\n        [closable]=\"true\"\n    ></api-error-alert>\n</form>\n","import { ChangeDetectionStrategy, ChangeDetectorRef, Component, EventEmitter, Input, OnChanges, OnDestroy, Output, SimpleChanges } from \"@angular/core\";\nimport { FormBuilder, FormGroup, Validators } from \"@angular/forms\";\nimport { APIError, catchAPIError, ErrorContext } from \"@core/dataiku-api/api-error\";\nimport { CardWizardVariable } from \"@features/eda/card-models\";\nimport { SampleContextService } from \"@features/eda/sample-context.service\";\nimport { CardWizardService } from \"@features/eda/worksheet/card-wizard/card-wizard.service\";\nimport { UntilDestroy, untilDestroyed } from \"@ngneat/until-destroy\";\nimport { FormArrayRepeat } from \"@utils/form-array-repeat\";\nimport { observeFormControl } from \"@utils/form-control-observer\";\nimport { toggleFormControl } from \"@utils/toggle-form-control\";\nimport { combineLatestObject } from \"dku-frontend-core\";\nimport { combineLatest, EMPTY, Observable, ReplaySubject } from \"rxjs\";\nimport { distinctUntilChanged, map, mergeScan, startWith, switchMap } from \"rxjs/operators\";\nimport { ACFPlotCard, Card, isACFPlotCard, isUnitRootTestADFCard, isUnitRootTestCard, isUnitRootTestKPSSCard, isUnitRootTestZACard, ListMostFrequentValues, PACF, TimeSeriesCard, UnitRootTestADF, UnitRootTestADFCard, UnitRootTestKPSS, UnitRootTestKPSSCard, UnitRootTestZA, UnitRootTestZACard } from \"src/generated-sources\";\n\ntype PartialIdentifier = Partial<TimeSeriesCard.TimeSeriesIdentifier>;\ntype SeriesIdValuesSuggestions = { [key: string]: string[] };\ntype SeriesIdVariablesSuggestions = CardWizardVariable[][];\ntype UIData = Observable<{\n    selectableColumns: SeriesIdVariablesSuggestions,\n    suggestedValues: SeriesIdValuesSuggestions,\n}>;\n\n@UntilDestroy()\n@Component({\n    selector: 'time-series-card-config',\n    templateUrl: './time-series-card-config.component.html',\n    styleUrls: [\n        './time-series-card-config.component.less',\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class TimeSeriesCardConfigComponent implements OnChanges, OnDestroy, ErrorContext {\n    @Input() params: TimeSeriesCard;\n    params$ = new ReplaySubject<TimeSeriesCard>(1);\n    @Output() paramsChange = new EventEmitter<TimeSeriesCard>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n\n    configForm: FormGroup;\n    seriesIdColumnsForm: FormArrayRepeat;\n    private allVariables$: Observable<CardWizardVariable[]>;\n    seriesVariables$: Observable<CardWizardVariable[]>;\n    timeVariables$: Observable<CardWizardVariable[]>;\n\n    error?: APIError | null;\n    uiData$: UIData;\n\n    constructor(\n        private fb: FormBuilder,\n        private cardWizardService: CardWizardService,\n        private changeDetectorRef: ChangeDetectorRef,\n        private sampleContextService: SampleContextService,\n    ) {\n        this.seriesIdColumnsForm = new FormArrayRepeat(\n            () => {\n                return this.fb.group({\n                    column: this.fb.control(null, Validators.required),\n                    value: this.fb.control(null, Validators.required),\n                });\n            },\n            [ Validators.required, Validators.minLength(1) ]\n        );\n\n        this.configForm = this.fb.group({\n            // Fields that are common to every time series card\n            seriesColumn: this.fb.control(null, Validators.required),\n            timeColumn: this.fb.control(null, Validators.required),\n\n            // Long format fields\n            useLongFormat: this.fb.control(null, Validators.required),\n            seriesIdColumns: this.seriesIdColumnsForm,\n\n            // Type of the card to configure (not editable in the UI)\n            type: this.fb.control(null, Validators.required),\n\n            // Number of lags (common setting to unit root tests and acf/pacf)\n            autoComputeLags: this.fb.control(null, Validators.required),\n            nLags: this.fb.control(\n                { value: null, disabled: true },\n                [ Validators.required, Validators.min(1) ],\n            ),\n\n            adfOptions: this.fb.group({\n                regressionMode: this.fb.control(null, Validators.required),\n            }),\n\n            zaOptions: this.fb.group({\n                regressionMode: this.fb.control(null, Validators.required),\n            }),\n\n            kpssOptions: this.fb.group({\n                regressionMode: this.fb.control(null, Validators.required),\n            }),\n\n            acfPlotOptions: this.fb.group({\n                showSummary: this.fb.control(null, Validators.required),\n                isPartial: this.fb.control(null, Validators.required),\n                adjusted: this.fb.control(null, Validators.required),\n                pacfMethod: this.fb.control(null, Validators.required),\n            }),\n        });\n\n        toggleFormControl(\n            this.configForm.controls.adfOptions,\n            this.configForm.controls.type,\n            UnitRootTestADFCard.type\n        );\n\n        toggleFormControl(\n            this.configForm.controls.zaOptions,\n            this.configForm.controls.type,\n            UnitRootTestZACard.type\n        );\n\n        toggleFormControl(\n            this.configForm.controls.kpssOptions,\n            this.configForm.controls.type,\n            UnitRootTestKPSSCard.type\n        );\n\n        toggleFormControl(\n            this.configForm.controls.acfPlotOptions,\n            this.configForm.controls.type,\n            ACFPlotCard.type\n        );\n\n        toggleFormControl(\n            this.configForm.controls.seriesIdColumns,\n            this.configForm.controls.useLongFormat,\n            true\n        );\n\n        toggleFormControl(\n            this.configForm.controls.autoComputeLags,\n            this.configForm.controls.type,\n            (type: Card[\"type\"]) =>\n                type === ACFPlotCard.type ||\n                type === UnitRootTestADFCard.type ||\n                type === UnitRootTestZACard.type ||\n                type === UnitRootTestKPSSCard.type\n        );\n\n        toggleFormControl(\n            this.configForm.controls.nLags,\n            this.configForm.controls.autoComputeLags,\n            false\n        );\n\n        this.configForm.valueChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(formValue => {\n                let newCard: TimeSeriesCard = {\n                    ...this.params,\n                    seriesColumn: formValue.seriesColumn,\n                    timeColumn: formValue.timeColumn,\n                    seriesIdentifiers: formValue.seriesIdColumns ?? [],\n                };\n\n                const nLags = formValue.nLags ?? null;\n\n                if (isUnitRootTestADFCard(newCard)) {\n                    newCard = {\n                        ...newCard,\n                        ...formValue.adfOptions,\n                        nLags,\n                    };\n                } else if (isUnitRootTestZACard(newCard)) {\n                    newCard = {\n                        ...newCard,\n                        ...formValue.zaOptions,\n                        nLags,\n                    };\n                } else if (isUnitRootTestKPSSCard(newCard)) {\n                    newCard = {\n                        ...newCard,\n                        ...formValue.kpssOptions,\n                        nLags,\n                    };\n                } else if (isACFPlotCard(newCard)) {\n                    newCard = {\n                        ...newCard,\n                        ...formValue.acfPlotOptions,\n                        nLags,\n                    };\n                }\n\n                this.paramsChange.emit(newCard);\n        });\n\n        this.configForm.statusChanges\n            .pipe(untilDestroyed(this))\n            .subscribe(() => {\n                this.validityChange.emit(this.configForm.valid);\n            });\n\n        const cardType$ = this.params$.pipe(\n            map(params => params.type),\n            distinctUntilChanged(),\n        );\n\n        this.allVariables$ = cardType$.pipe(\n            switchMap(type => this.cardWizardService.availableVariables(type))\n        );\n\n        this.seriesVariables$ = cardType$.pipe(\n            switchMap(type => this.cardWizardService.availableVariables(type, { isSeriesVariable: true }))\n        );\n\n        this.timeVariables$ = cardType$.pipe(\n            switchMap(type => this.cardWizardService.availableVariables(type, { isTimeVariable: true }))\n        );\n\n        const selectableColumns$ = combineLatest([observeFormControl(this.configForm), this.allVariables$]).pipe(\n            map(([formValue, allVariables])=> {\n                const { seriesColumn, timeColumn } = formValue;\n                const seriesIdColumns: PartialIdentifier[] = formValue.seriesIdColumns ?? [];\n                const seriesIdColumnsNames = seriesIdColumns.map(({ column }) => column?.name);\n\n                return seriesIdColumns.map(current =>\n                    allVariables.map(variable => {\n                        // A column should not be selected more than once, so\n                        // let's disable every selected columns.\n                        const disabled = variable.name === seriesColumn?.name\n                            || variable.name === timeColumn?.name\n                            || (seriesIdColumnsNames.includes(variable.name) && variable.name !== current.column?.name);\n\n                        return {\n                            ...variable,\n                            disabled,\n                        };\n                    })\n                );\n            })\n        );\n\n        const suggestedValues$ = observeFormControl<PartialIdentifier[]>(this.seriesIdColumnsForm).pipe(\n            switchMap(ids => ids.map(id => id.column?.name)),\n            mergeScan((cache, columnName) => {\n                if(!columnName || cache[columnName]) {\n                    return EMPTY;\n                }\n\n                return this.sampleContextService.runInteractiveQuery({\n                    type: ListMostFrequentValues.type,\n                    column: columnName,\n                    maxValues: 100,\n                }).pipe(\n                    catchAPIError(this),\n                    map(result => ({\n                        ...cache,\n                        [columnName]: result.values ?? [],\n                    }))\n                )\n            }, {} as SeriesIdValuesSuggestions),\n            startWith({})\n        );\n\n        this.uiData$ = combineLatestObject({\n            selectableColumns: selectableColumns$,\n            suggestedValues: suggestedValues$,\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (changes.params == null) {\n            return;\n        }\n\n        this.params$.next(this.params);\n        const card = this.params;\n        const seriesIdentifiers = card.seriesIdentifiers ?? [];\n        const useLongFormat = seriesIdentifiers.length > 0;\n\n        this.configForm.patchValue({\n            type: card.type,\n            seriesColumn: card.seriesColumn,\n            timeColumn: card.timeColumn,\n            useLongFormat,\n            seriesIdColumns: seriesIdentifiers,\n        });\n\n        if (isUnitRootTestADFCard(card)) {\n            this.configForm.controls.adfOptions.patchValue({\n                regressionMode: card.regressionMode,\n            });\n        } else if (isUnitRootTestZACard(card)) {\n            this.configForm.controls.zaOptions.patchValue({\n                regressionMode: card.regressionMode,\n            });\n        } else if (isUnitRootTestKPSSCard(card)) {\n            this.configForm.controls.kpssOptions.patchValue({\n                regressionMode: card.regressionMode,\n            });\n        } else if (isACFPlotCard(card)) {\n            this.configForm.controls.acfPlotOptions.patchValue({\n                showSummary: card.showSummary,\n                isPartial: card.isPartial,\n                adjusted: card.adjusted,\n                pacfMethod: card.pacfMethod,\n            });\n        }\n\n        if (isACFPlotCard(card) || isUnitRootTestCard(card)) {\n            this.configForm.patchValue({\n                autoComputeLags: card.nLags == null,\n                nLags: card.nLags,\n            });\n        } else {\n            this.configForm.patchValue({\n                autoComputeLags: null,\n                nLags: null,\n            });\n        }\n    }\n\n    ngOnDestroy(): void {\n        // required by @UntilDestroy\n    }\n\n    adfRegressionOptions = [\n        {\n            name: 'Constant only',\n            value: UnitRootTestADF.RegressionMode.CONSTANT_ONLY,\n        },\n        {\n            name: 'Constant, linear trend',\n            value: UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_TREND,\n        },\n        {\n            name: 'Constant, linear and quadratic trend',\n            value: UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_QUADRATIC_TREND,\n        },\n        {\n            name: 'No constant, no trend',\n            value: UnitRootTestADF.RegressionMode.NO_CONSTANT_NO_TREND,\n        },\n    ];\n\n    zaRegressionOptions = [\n        {\n            name: 'Constant only',\n            value: UnitRootTestZA.RegressionMode.CONSTANT_ONLY,\n        },\n        {\n            name: 'Trend only',\n            value: UnitRootTestZA.RegressionMode.TREND_ONLY,\n        },\n        {\n            name: 'Constant with trend',\n            value: UnitRootTestZA.RegressionMode.CONSTANT_WITH_TREND,\n        },\n    ];\n\n    kpssRegressionOptions = [\n        {\n            name: 'Constant only',\n            value: UnitRootTestKPSS.RegressionMode.CONSTANT,\n        },\n        {\n            name: 'Constant with trend',\n            value: UnitRootTestKPSS.RegressionMode.CONSTANT_WITH_TREND,\n        },\n    ];\n\n    get isPartialACF(): boolean {\n        const acfPlotOptions = this.configForm.controls.acfPlotOptions as FormGroup;\n        return acfPlotOptions.controls.isPartial.value === true;\n    }\n\n    pacfMethodOptions = [\n        {\n            name: 'Yule-Walker',\n            value: PACF.Method.YULE_WALKER,\n        },\n        {\n            name: 'Regression on lags and on constant',\n            value: PACF.Method.OLS,\n        },\n        {\n            name: 'Regression on lags using bias adjustment',\n            value: PACF.Method.OLS_UNBIASED,\n        },\n        {\n            name: 'Levinson-Durbin recursion',\n            value: PACF.Method.LEVINSON_DURBIN,\n        },\n    ];\n\n    get useLongFormat(): boolean {\n        return this.configForm.controls.useLongFormat.value === true;\n    }\n\n    get isAutoComputeLagsEnabled(): boolean {\n        return this.configForm.controls.autoComputeLags.enabled;\n    }\n\n    get autoComputeLags(): boolean {\n        return this.configForm.controls.autoComputeLags.value === true;\n    }\n\n    pushError(error: APIError | null) {\n        this.error = error;\n        this.changeDetectorRef.markForCheck();\n    }\n}\n","<div\n    class=\"config-area\"\n    [ngSwitch]=\"params.type\"\n    [ngClass]=\"className\"\n    cdkScrollable\n>\n    <generic-summary-stats-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        *ngSwitchCase=\"'univariate_summary'\"\n    >\n    </generic-summary-stats-card-config>\n\n    <generic-summary-stats-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        *ngSwitchCase=\"'bivariate_summary'\"\n    >\n    </generic-summary-stats-card-config>\n\n    <categorical-histogram-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'categorical_histogram'\"\n    >\n    </categorical-histogram-card-config>\n\n    <bivariate-box-plot-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'bivariate_box_plot'\"\n    >\n    </bivariate-box-plot-card-config>\n\n    <univariate-frequency-table-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'univariate_frequency_table'\"\n    >\n    </univariate-frequency-table-card-config>\n\n    <quantiles-table-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'quantile_table'\"\n    >\n    </quantiles-table-card-config>\n\n    <numerical-histogram-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'numerical_histogram'\"\n    >\n    </numerical-histogram-card-config>\n\n    <abstract-2d-pivot-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'bivariate_frequency_table'\"\n    >\n    </abstract-2d-pivot-card-config>\n\n    <abstract-2d-pivot-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'bivariate_histogram'\"\n    >\n    </abstract-2d-pivot-card-config>\n\n    <abstract-2d-pivot-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'mosaic_plot'\"\n    >\n    </abstract-2d-pivot-card-config>\n\n    <scatter-plot-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'scatter_plot'\"\n    >\n    </scatter-plot-card-config>\n\n    <univariate-header-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        (validityTooltipChange)=\"validityTooltipChange.emit($event)\"\n        *ngSwitchCase=\"'univariate_header'\"\n    ></univariate-header-card-config>\n\n    <bivariate-header-card-config\n        [params]=\"params\"\n        (validityChange)=\"validityChange.emit($event)\"\n        (validityTooltipChange)=\"validityTooltipChange.emit($event)\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        *ngSwitchCase=\"'bivariate_header'\"\n    ></bivariate-header-card-config>\n\n    <tztest1-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'ttest_ztest_1samp'\"\n    ></tztest1-samp-card-config>\n\n    <sign-test1-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'sign_test_1samp'\"\n    ></sign-test1-samp-card-config>\n\n    <shapiro-normality-test-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'shapiro'\"\n    ></shapiro-normality-test-card-config>\n\n    <abstract-2-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'ttest_2samp'\"\n    ></abstract-2-samp-card-config>\n\n    <abstract-2-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'mood_test_2samp'\"\n    ></abstract-2-samp-card-config>\n\n    <abstract-2-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'ks_test_2samp'\"\n    ></abstract-2-samp-card-config>\n\n    <abstract-n-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'oneway_anova'\"\n    ></abstract-n-samp-card-config>\n\n    <abstract-n-samp-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'mood_nsamp'\"\n    ></abstract-n-samp-card-config>\n\n    <abstract-pairwise-test-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'pairwise_ttest'\"\n    ></abstract-pairwise-test-card-config>\n\n    <abstract-pairwise-test-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n    *ngSwitchCase=\"'pairwise_mood'\"\n    ></abstract-pairwise-test-card-config>\n\n    <chi2-ind-test-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'chi2_independence_test'\"\n    ></chi2-ind-test-card-config>\n\n    <fit-distribution-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'fit_distribution'\"\n    ></fit-distribution-card-config>\n\n    <fit-2d-distribution-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'fit_2d_distribution'\"\n    ></fit-2d-distribution-card-config>\n\n    <fit-curve-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'fit_curve'\"\n    ></fit-curve-card-config>\n\n    <multivariate-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        (validityTooltipChange)=\"validityTooltipChange.emit($event)\"\n        *ngSwitchCase=\"'correlation_matrix'\"\n    ></multivariate-card-config>\n\n    <multivariate-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        (validityTooltipChange)=\"validityTooltipChange.emit($event)\"\n        *ngSwitchCase=\"'pca'\"\n    ></multivariate-card-config>\n\n    <multivariate-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        (validityTooltipChange)=\"validityTooltipChange.emit($event)\"\n        *ngSwitchCase=\"'parallel_coordinates_plot'\"\n    ></multivariate-card-config>\n\n    <scatter-plot-3d-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'scatter_plot_3d'\"\n    ></scatter-plot-3d-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'unit_root_test_adf'\"\n    ></time-series-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'unit_root_test_za'\"\n    ></time-series-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'unit_root_test_kpss'\"\n    ></time-series-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'durbin_watson'\"\n    ></time-series-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'mann_kendall_test'\"\n    ></time-series-card-config>\n\n    <time-series-card-config\n        [params]=\"params\"\n        (paramsChange)=\"paramsChange.emit($event)\"\n        (validityChange)=\"validityChange.emit($event)\"\n        *ngSwitchCase=\"'acf_plot'\"\n    ></time-series-card-config>\n\n    <ng-container *ngSwitchDefault>NOT IMPLEMENTED</ng-container>\n</div>\n","import { Component, OnInit, Input, Output, EventEmitter, OnDestroy } from '@angular/core';\nimport { Card, isBivariateHeaderCard, isCorrelationMatrixCard, isParallelCoordinatesPlotCard, isPCACard, isUnivariateHeaderCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'card-editor',\n    templateUrl: './card-editor.component.html',\n    styleUrls: [\n        '../../../shared-styles/card-wizard.less',\n        './card-editor.component.less'\n    ]\n})\nexport class CardEditorComponent implements OnInit, OnDestroy {\n    @Input() params: Card;\n    @Output() paramsChange = new EventEmitter<Card>(true);\n    @Output() validityChange = new EventEmitter<boolean>(true);\n    @Output() validityTooltipChange = new EventEmitter<string>(true);\n\n    className = '';\n\n    constructor() {\n\n    }\n\n    ngOnInit() {\n        const typeClass = 'card-wizard__body--' + this.params.type;\n        this.className = typeClass + ' card-wizard__body--' + this.getEditorWidth();\n    }\n\n    ngOnDestroy() {\n    }\n\n    getEditorWidth() {\n        const requiresWideEditor =\n            isUnivariateHeaderCard(this.params)\n            || isBivariateHeaderCard(this.params)\n            || isCorrelationMatrixCard(this.params)\n            || isParallelCoordinatesPlotCard(this.params)\n            || isPCACard(this.params);\n\n            return requiresWideEditor ? \"wide\" : \"narrow\";\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { Card } from 'src/generated-sources';\nimport { getFullCardTitle, getBasicCardTitle, getConfigureCardTitle } from '../card-utils';\n\n@Pipe({\n    name: 'cardTitle'\n})\nexport class CardTitlePipe implements PipeTransform {\n    transform(params: Card, layout: 'basic' | 'full' | 'config'): string {\n        switch (layout) {\n            case 'basic':\n                return getBasicCardTitle(params);\n            case 'full':\n                return getFullCardTitle(params);\n            case 'config':\n                return getConfigureCardTitle(params);\n        }\n    }\n}\n","<div class=\"modal\" [qa]=\"'eda-configure-card-modal'\">\n    <modal-header\n        [title]=\"params | cardTitle: 'basic'\"\n        [hasBorder]=\"false\"\n    ></modal-header>\n    <div class=\"modal-body flex modal-body--analysis no-padding\">\n        <card-editor\n            [params]=\"params\"\n            (paramsChange)=\"changeParams($event)\"\n            (validityChange)=\"changeValidity($event)\"\n            (validityTooltipChange)=\"changeValidityTooltip($event)\"\n        ></card-editor>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\" [matTooltip]=\"validationTooltip\">\n            <button\n                type=\"button\"\n                class=\"btn btn--text btn--secondary\"\n                (click)=\"dismiss()\"\n                tabindex=\"-1\"\n            >\n                Cancel\n            </button>\n            <button\n                type=\"submit\"\n                form=\"config-form\"\n                class=\"btn btn--text btn--primary\"\n                [disabled]=\"!canSave\"\n                (click)=\"save()\"\n                [wt1Click]=\"'worksheets_edit-card'\"\n                [qa]=\"'eda-save-card-button'\"\n                tabindex=\"-1\"\n            >\n                Apply\n            </button>\n        </div>\n        <form\n            class=\"controls\"\n            *ngIf=\"columnParams\"\n        >\n            <div class=\"control-group\">\n                <label class=\"control-label control-label--flex\" [qa]=\"'eda-propagate-columns-checkbox'\">\n                    <input\n                        type=\"checkbox\"\n                        [(ngModel)]=\"updateSiblings\"\n                        name=\"updateSiblings\"\n                    >\n                    <span class=\"help-inline\">\n                        Propagate settings to all\n                        <ng-container *ngIf=\"columnParams!.column.type === Variable.Type.CONTINUOUS\">numerical</ng-container>\n                        <ng-container *ngIf=\"columnParams!.column.type === Variable.Type.CATEGORICAL\">categorical</ng-container>\n                        columns\n                    </span>\n                </label>\n            </div>\n        </form>\n    </div>\n</div>\n","import { Component, ChangeDetectionStrategy, Inject } from '@angular/core';\nimport { Card, ColumnCard } from 'src/generated-sources';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport { Variable } from 'src/generated-sources';\nimport { CardWizardService } from '../card-wizard.service';\n\nexport interface EditCardModalComponentInput {\n    params: Card;\n    isStatCard: boolean;\n    columnParams?: ColumnCard;\n}\n\n@Component({\n    selector: 'edit-card-modal',\n    templateUrl: './edit-card-modal.component.html',\n    styleUrls: [\n        '../../../shared-styles/card-wizard.less',\n        './edit-card-modal.component.less'\n    ],\n    providers: [CardWizardService],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class EditCardModalComponent {\n    // Inputs\n    params: Card;\n    isStatCard: boolean;\n    columnParams?: ColumnCard; // null if the card is top level (ie. not contained in a ColumnCard)\n\n    // Local\n    changedParamsValid = true;\n    validationTooltip: string;\n    changedParams?: Card;\n    updateSiblings = false;\n    Variable = Variable;\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) data: EditCardModalComponentInput,\n        private dialogRef: MatDialogRef<EditCardModalComponentInput>\n    ) {\n        this.params = data.params;\n        this.columnParams = data.columnParams;\n        this.isStatCard = data.isStatCard;\n    }\n\n    changeValidity(validity: boolean) {\n        this.changedParamsValid = validity;\n    }\n\n    changeValidityTooltip(tooltip: string) {\n        this.validationTooltip = tooltip;\n    }\n\n    changeParams(params: Card) {\n        this.changedParams = params;\n    }\n\n    dismiss() {\n        this.dialogRef.close('');\n    }\n\n    get canSave() {\n        return this.changedParams && this.changedParamsValid;\n    }\n\n    save() {\n        if (this.canSave) {\n            this.dialogRef.close({\n                card: this.changedParams,\n                updateSiblings: this.updateSiblings\n            });\n        }\n    }\n}\n","import { ACFPlotCard, Chi2IndTestCard, DurbinWatsonCard, KsTest2SampCard, MoodTestNSampCard, OneWayANOVACard, PACF, ShapiroNormalityTestCard, TimeSeriesCard, UnivariateHeaderCard, Variable } from 'src/generated-sources';\nimport { randomId } from '@utils/random';\nimport { DEFAULT_SPLIT_BY_SPEC } from '@utils/dss-defaults';\n\nexport function createVarianceComparisonCard(column: Variable, groupBy: Variable): UnivariateHeaderCard {\n    return {\n        id: randomId(),\n        type: 'univariate_header',\n        xColumns: [column],\n        showSummary: true,\n        showBoxPlot: false,\n        showHistogram: false,\n        showQuantile: false,\n        showFrequencyTable: false,\n        showCumulativeDistributionFunction: false,\n        cards: [\n            {\n                id: randomId(),\n                type: 'column_card',\n                column,\n                cards: [\n                    {\n                        id: randomId(),\n                        type: 'univariate_summary',\n                        column,\n                        confidenceLevel: 0.95,\n                        showConfidenceInterval: false,\n                        compute: {\n                            // Display variance\n                            variance: true,\n                            // Override default values to display variance only (a bit verbose...)\n                            totalCount: false,\n                            mean: false,\n                            sum: false,\n                            median: false,\n                            std: false,\n                            skewness: false,\n                            kurtosis: false,\n                            sem: false,\n                            completeCount: false,\n                            nbEmpty: false,\n                            zeroCount: false,\n                            zeroRatio: false,\n                            nonZeroRatio: false,\n                            iqr: false,\n                            distinctCount: false,\n                            nbNonEmpty: false,\n                            min: false,\n                            max: false,\n                            range: false,\n                            mode: false\n                        }\n                    }\n                ]\n            }\n        ],\n        splitBy: {\n            ...DEFAULT_SPLIT_BY_SPEC,\n            groupingColumn: groupBy\n        }\n    };\n}\n\nexport function createShapiroCard(column: Variable, groupBy?: Variable): ShapiroNormalityTestCard {\n    return {\n        id: randomId(),\n        type: 'shapiro',\n        column,\n        splitBy: groupBy ? { ...DEFAULT_SPLIT_BY_SPEC, groupingColumn: groupBy } : null,\n        confidenceLevel: 0.95\n    };\n}\n\nexport function createChi2IndTestCard(\n    xColumn: Variable,\n    yColumn: Variable,\n    confidenceLevel: number,\n): Chi2IndTestCard {\n    return {\n        id: randomId(),\n        type: 'chi2_independence_test',\n        xColumn,\n        yColumn,\n        confidenceLevel,\n        maxValuesX: 5,\n        maxValuesY: 5,\n    };\n}\n\nexport function createOneWayAnovaCard(\n    xColumn: Variable,\n    yColumn: Variable,\n    confidenceLevel: number,\n): OneWayANOVACard {\n    return {\n        id: randomId(),\n        type: 'oneway_anova',\n        xColumn,\n        yColumn,\n        confidenceLevel,\n        maxGroups: 10,\n    };\n}\n\nexport function createMoodTestNSampCard(\n    xColumn: Variable,\n    yColumn: Variable,\n    confidenceLevel: number,\n): MoodTestNSampCard {\n    return {\n        id: randomId(),\n        type: 'mood_nsamp',\n        xColumn,\n        yColumn,\n        confidenceLevel,\n        maxGroups: 10,\n    };\n}\n\nexport function createKSTest2SampCard(\n    xColumn: Variable,\n    yColumn: Variable,\n    confidenceLevel: number,\n): KsTest2SampCard {\n    return {\n        id: randomId(),\n        type: 'ks_test_2samp',\n        xColumn,\n        yColumn,\n        confidenceLevel,\n        value1: null,\n        value2: null,\n    };\n}\n\nexport function createACFPlotCard(\n    seriesColumn: Variable,\n    timeColumn: Variable,\n    seriesIdentifiers: TimeSeriesCard.TimeSeriesIdentifier[]\n): ACFPlotCard {\n    return {\n        id: randomId(),\n        type: 'acf_plot',\n        seriesColumn,\n        timeColumn,\n        seriesIdentifiers,\n        adjusted: true,\n        isPartial: false,\n        showSummary: true,\n        pacfMethod: PACF.Method.LEVINSON_DURBIN,\n        confidenceLevel: 0.95,\n    };\n}\n\nexport function createDurbinWatsonCard(\n    seriesColumn: Variable,\n    timeColumn: Variable,\n    seriesIdentifiers: TimeSeriesCard.TimeSeriesIdentifier[]\n): DurbinWatsonCard {\n    return {\n        id: randomId(),\n        type: 'durbin_watson',\n        seriesColumn,\n        timeColumn,\n        seriesIdentifiers\n    };\n}\n","<ng-container *ngIf=\"params.knownStdDev == null; else ztest\">\n    <p>\n        The one-sample 𝘵-test is a statistical procedure used to determine whether your data\n        could have been drawn from a population where the mean of\n        <b>{{ params.column.name }}</b>\n        is\n        <b>\n            {{params.hypothesizedMean | smarterNumber}}\n        </b>.\n    </p>\n    <p>\n        There are two possible outcomes depending on the 𝘱-value:\n    </p>\n    <ul>\n        <li>\n            <b>\n                𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n            </b>\n            <br>\n            The hypothesis is rejected.\n            The population mean of\n            <b>{{ params.column.name }}</b>\n            is different from {{params.hypothesizedMean | smarterNumber}}.\n        </li>\n        <li>\n            <b>\n                𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n            </b>\n\n            <br>\n            Not enough evidence against the hypothesis. Test is inconclusive.\n        </li>\n    </ul>\n    <p>\n        It has been shown that the conclusion is meaningful under the following conditions:\n    </p>\n    <ul>\n        <li>\n            Observations of\n            <b>{{ params.column.name }}</b>\n            are independent and identically distributed\n        </li>\n        <li>\n            Variable\n            <b>{{ params.column.name }}</b>\n            is normally distributed\n            <br>\n            <span\n                class=\"text-weak\"\n                *ngIf=\"canAddCard\"\n            >\n                <i class=\"icon-lightbulb\"></i>\n                You may want to check this assumption using a\n                <a (click)=\"addShapiro()\">Shapiro-Wilk test</a>\n            </span>\n        </li>\n    </ul>\n    <p>\n        <span class=\"text-weak\">\n            <i class=\"icon-info-sign\"></i>\n            Missing values are discarded\n        </span>\n    </p>\n</ng-container>\n<ng-template #ztest>\n    NOT IMPLEMENTED\n    <!-- POSTPONED AFTER EDA V1 RELEASE -->\n</ng-template>\n","import { Component, Input, ChangeDetectionStrategy, Optional, EventEmitter, Output, ViewContainerRef } from '@angular/core';\nimport { TZTest1SampCard } from 'src/generated-sources';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { CardAction, CardActionType } from '../../events';\nimport { EditCardModalComponent } from '../../../card-wizard/edit-card-modal/edit-card-modal.component';\nimport { createShapiroCard } from '../card-creation-templates';\n\n@Component({\n    selector: 'tztest1-samp-card-help',\n    templateUrl: './tztest1-samp-card-help.component.html',\n    styleUrls: ['./tztest1-samp-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class TZTest1SampCardHelpComponent {\n    @Input() params: TZTest1SampCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    constructor(\n        private modalsService: ModalsService,\n        private viewContainerRef: ViewContainerRef\n    ) {\n    }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    addShapiro() {\n        if (!this.canAddCard) {\n            return;\n        }\n\n        const proposedCard = createShapiroCard(this.params.column);\n        this.modalsService.open(EditCardModalComponent, { params: proposedCard }, ModalShape.NONE, this.viewContainerRef)\n            .then(({ card })  => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card\n                });\n            }, () => { });\n    }\n}\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { ShapiroNormalityTestCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'shapiro-normality-test-card-help',\n    templateUrl: './shapiro-normality-test-card-help.component.html',\n    styleUrls: ['./shapiro-normality-test-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ShapiroNormalityTestCardHelpComponent {\n    @Input() params: ShapiroNormalityTestCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n}\n","<p>\n    The Shapiro-Wilk test is a statistical procedure used to test the hypothesis that your data\n    could have been drawn from a normal population.\n</p>\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected.\n        <b>{{ params.column.name }}</b>\n        is not normally distributed.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n<p>\n    It has been shown that the conclusion is meaningful under the following conditions:\n</p>\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.column.name }}</b>\n        are independent and identically distributed\n    </li>\n    <li>\n        Sample size is not too large (&lt; 5000)\n    </li>\n</ul>\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values are discarded\n    </span>\n    <br>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        &ngsp;\n        <a\n            href=\"https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.shapiro.html\"\n            target=\"_blank\"\n        >More information\n        </a>\n    </span>\n</p>\n","<ng-container *ngIf=\"isBuildingPopulationsAutomatically else manual\">\n    The compared populations are determined from the first {{ maxNbOfAutomaticPopulations }} most common values of\n    <b>{{ params.yColumn.name }}</b>.\n</ng-container>\n\n<ng-template #manual>\n    The compared populations are:\n    <ul>\n        <li *ngFor=\"let population of manualPopulations\">\n            <u>{{ population.column.name }}</u>:\n            {{ population.values.join(', ') }}\n        </li>\n    </ul>\n</ng-template>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { Abstract2SampTestCard, AbstractNSampTestCard, isAbstractNSampTestCard, isAbstract2SampTestCard, Variable } from 'src/generated-sources';\nimport { assertNever } from 'dku-frontend-core';\n\ntype SupportedTypes = Abstract2SampTestCard | AbstractNSampTestCard;\n\ninterface Population {\n    column: Variable;\n    values: string[];\n}\n\n@Component({\n    selector: 'list-compared-populations',\n    templateUrl: './list-compared-populations.component.html',\n    styleUrls: ['./list-compared-populations.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ListComparedPopulationsComponent {\n    @Input() params: SupportedTypes;\n\n    get isBuildingPopulationsAutomatically() {\n        if (isAbstractNSampTestCard(this.params)) {\n            return !this.params.yValues;\n        }\n\n        if (isAbstract2SampTestCard(this.params)) {\n            return this.params.value1 == null\n                && this.params.value2 == null;\n        }\n\n        return false;\n    }\n\n    get maxNbOfAutomaticPopulations() {\n        if (isAbstractNSampTestCard(this.params)) {\n            return this.params.maxGroups;\n        }\n\n        if (isAbstract2SampTestCard(this.params)) {\n            const isAuto = this.params.value1 == null\n                && this.params.value2 == null;\n            return isAuto ? 2 : 0;\n        }\n\n        return 0;\n    }\n\n    get manualPopulations(): Population[] {\n        if (isAbstractNSampTestCard(this.params)) {\n            if (this.params.yValues) {\n                return this.params.yValues.map(value => ({\n                    column: this.params.yColumn,\n                    values: [value]\n                }));\n            } else {\n                // Automatically determined groups\n                return [];\n            }\n        }\n\n        if (isAbstract2SampTestCard(this.params)) {\n            const isAuto = this.params.value1 == null\n                && this.params.value2 == null;\n\n            if (isAuto) {\n                return [];\n            }\n\n            return [\n                {\n                    column: this.params.yColumn,\n                    values: this.params.value1!,\n                },\n                {\n                    column: this.params.yColumn,\n                    values: this.params.value2!,\n                },\n            ];\n        }\n\n        // Won't compile if a new card type is added to 'SupportedTypes'\n        // and is not handled by this function\n        return assertNever(this.params);\n    }\n}\n","import { Component, Input, ChangeDetectionStrategy, Output, EventEmitter } from '@angular/core';\nimport { KsTest2SampCard } from 'src/generated-sources';\nimport { CardAction } from '../../events';\n\n@Component({\n    selector: 'ks-test2-samp-card-help',\n    templateUrl: './ks-test2-samp-card-help.component.html',\n    styleUrls: ['./ks-test2-samp-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class KsTest2SampCardHelpComponent {\n    @Input() params: KsTest2SampCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n}\n","<p>\n    The two-sample Kolmogorov–Smirnov test is a statistical procedure used\n    to test the hypothesis that the underlying distribution of\n    <b>{{ params.xColumn.name }}</b>\n    is the same between two populations.\n</p>\n\n<list-compared-populations [params]=\"params\"></list-compared-populations>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected.\n        <b>{{ params.xColumn.name }}</b>\n        distribution is different in the two populations.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n<p>\n    It has been shown that the conclusion is meaningful under the following condition:\n</p>\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.xColumn.name }}</b>\n        are independent and identically distributed\n    </li>\n</ul>\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values are discarded\n    </span>\n</p>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { SignTest1SampCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'sign-test1-samp-card-help',\n    templateUrl: './sign-test1-samp-card-help.component.html',\n    styleUrls: ['./sign-test1-samp-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SignTest1SampCardHelpComponent {\n    @Input() params: SignTest1SampCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n}\n","<p>\n    The sign test is a nonparametric test used to determine whether your data\n            could have been drawn from a population where the median of\n    <b>{{ params.column.name }}</b>\n    is\n    <b>\n        {{params.hypothesizedMedian | smarterNumber}}\n    </b>.\n</p>\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected.\n        The population median of\n        <b>{{ params.column.name }}</b>\n        is different from {{params.hypothesizedMedian | smarterNumber}}.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n<p>\n    It has been shown that the conclusion is meaningful under the following condition:\n</p>\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.column.name }}</b>\n        are independent and identically distributed\n    </li>\n</ul>\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values and values which are equal to the hypothesized median are discarded\n    </span>\n</p>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { Chi2IndTestCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'chi2-ind-test-card-help',\n    templateUrl: './chi2-ind-test-card-help.component.html',\n    styleUrls: ['./chi2-ind-test-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Chi2IndTestCardHelpComponent {\n    @Input() params: Chi2IndTestCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n}\n","<p>\n    The Chi-square independence test is a statistical procedure used\n    to test the hypothesis that variables\n    <b>{{ params.xColumn.name }}</b>\n    and\n    <b>{{ params.yColumn.name }}</b>\n    are independent.\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected. Variables\n        <b>{{ params.xColumn.name }}</b>\n        and\n        <b>{{ params.yColumn.name }}</b>\n        are not independent.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n<p>\n    It has been shown that the conclusion is meaningful under the following conditions:\n</p>\n<ul>\n    <li>\n        Observations of\n        (<b>{{ params.xColumn.name }}</b>,\n        <b>{{ params.yColumn.name }}</b>)\n        are independent and identically distributed\n    </li>\n    <li>\n        The expected count for each cell of the frequency table is at least\n        <b>5</b>\n    </li>\n</ul>\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values in\n        <b>{{ params.xColumn.name }}</b>\n        and/or\n        <b>{{ params.yColumn.name }}</b>\n        are considered as a separate category\n    </span>\n    <br>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        &ngsp;\n        <a\n            href=\"https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html\"\n            target=\"_blank\"\n        >More information\n        </a>\n    </span>\n</p>\n","<p>\n    The {{ params.type === 'pairwise_mood' ? 'pairwise' : '' }} Mood test is a nonparametric test that tests the hypothesis that the median of\n    <b>{{ params.xColumn.name }}</b>\n    is identical\n    <ng-container *ngIf=\"isPairwise\">in every pair of populations.</ng-container>\n    <ng-container *ngIf=\"!isPairwise\">\n        <ng-container *ngIf=\"hasTwoSamples else nSamp\">in both populations.</ng-container>\n        <ng-template #nSamp>in all populations.</ng-template>\n    </ng-container>\n</p>\n\n<p>\n    <list-compared-populations [params]=\"params\"></list-compared-populations>\n</p>\n\n<p>\n    There are two possible outcomes depending on the {{ params.type === 'pairwise_mood' ? '𝘱-values' : '𝘱-value' }}:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected. the\n        median <b>{{ params.xColumn.name }}</b>\n        is not the same\n        <ng-container *ngIf=\"isPairwise\">for this pair of populations.</ng-container>\n        <ng-container *ngIf=\"!isPairwise\">\n            <ng-container *ngIf=\"hasTwoSamples else nSamp\">in both populations.</ng-container>\n            <ng-template #nSamp>in all populations.</ng-template>\n        </ng-container>\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n\n<p>\n    It has been shown that the conclusion is meaningful under the following conditions:\n</p>\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.xColumn.name }}</b>\n        are independent and identically distributed\n    </li>\n    <li>\n        Distributions of\n        <b>{{ params.xColumn.name }}</b>\n        have the same shape in all populations\n    </li>\n</ul>\n\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values and values which are equal to the grand median are discarded\n    </span>\n    <br>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        &ngsp;\n        <a\n            href=\"https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.median_test.html\"\n            target=\"_blank\"\n        >More information\n        </a>\n    </span>\n</p>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { MoodTest2SampCard, MoodTestNSampCard, PairwiseMoodTestCard, isAbstractPairwiseTestCard, isAbstract2SampTestCard } from 'src/generated-sources';\n\n\ntype SupportedCards = MoodTestNSampCard | MoodTest2SampCard | PairwiseMoodTestCard;\n\n@Component({\n    selector: 'generic-nsamp-mood-test-help',\n    templateUrl: './generic-nsamp-mood-test-help.component.html',\n    styleUrls: ['./generic-nsamp-mood-test-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class GenericNSampMoodTestHelpComponent {\n    @Input() params: SupportedCards;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n\n    get isPairwise() {\n        return isAbstractPairwiseTestCard(this.params);\n    }\n\n    get hasTwoSamples() {\n        return isAbstract2SampTestCard(this.params);\n    }\n}\n","<p>\n    The one-way ANOVA test is a parametric test that tests the hypothesis that the mean of\n    <b>{{ params.xColumn.name }}</b>\n    is identical in all populations.\n</p>\n\n<p>\n    <list-compared-populations [params]=\"params\"></list-compared-populations>\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected. The population mean of\n        <b>{{ params.xColumn.name }}</b>\n        is not the same in all the populations.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n\n<p>\n    It has been shown that the conclusion is meaningful under the following conditions:\n</p>\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.xColumn.name }}</b>\n        are independent and identically distributed\n    </li>\n    <li>\n        Variable\n        <b>{{ params.xColumn.name }}</b>\n        is normally distributed in every population\n        <br>\n        <span\n            class=\"text-weak\"\n            *ngIf=\"canAddCard\"\n        >\n            <i class=\"icon-lightbulb\"></i>\n            You may want to check this assumption using a\n            <a (click)=\"addGroupedShapiro()\">Shapiro-Wilk test</a>\n        </span>\n    </li>\n    <li>\n        Variance of\n        <b>{{ params.xColumn.name }}</b>\n        is identical in all populations\n        <br>\n        <span\n            class=\"text-weak\"\n            *ngIf=\"canAddCard\"\n        >\n            <i class=\"icon-lightbulb\"></i>\n            You may want to have a look at\n            <a (click)=\"addGroupedSummary()\">summary statistics</a>\n        </span>\n    </li>\n</ul>\n\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values are discarded\n    </span>\n</p>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, ViewContainerRef } from '@angular/core';\nimport { OneWayANOVACard } from 'src/generated-sources';\nimport { CardAction, CardActionType } from '../../events';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { EditCardModalComponent } from '@features/eda/worksheet/card-wizard/edit-card-modal/edit-card-modal.component';\nimport { createVarianceComparisonCard, createShapiroCard} from '../card-creation-templates';\n\n@Component({\n    selector: 'one-way-anova-card-help',\n    templateUrl: './one-way-anova-card-help.component.html',\n    styleUrls: ['./one-way-anova-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class OneWayANOVACardHelpComponent {\n    @Input() params: OneWayANOVACard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    constructor(private modalsService: ModalsService, private viewContainerRef: ViewContainerRef) { }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    addGroupedShapiro() {\n        if (!this.canAddCard) {\n            return;\n        }\n\n        const proposedCard = createShapiroCard(this.params.xColumn, this.params.yColumn);\n        this.modalsService.open(EditCardModalComponent, { params: proposedCard }, ModalShape.NONE,\n            this.viewContainerRef)\n            .then(({ card }) => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card\n                });\n            }, () => { });\n    }\n\n    addGroupedSummary() {\n        if (!this.canAddCard) {\n            return;\n        }\n\n        const proposedCard = createVarianceComparisonCard(this.params.xColumn, this.params.yColumn);\n        this.modalsService.open(EditCardModalComponent, { params: proposedCard }, ModalShape.NONE,\n            this.viewContainerRef)\n            .then(({ card }) => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card\n                });\n            }, () => { });\n    }\n}\n","<p>\n    The {{ isPairwise ? 'pairwise' : '' }} Student 𝘵-test\n        is a parametric test that tests the hypothesis that the mean of\n    <b>{{ params.xColumn.name }}</b>\n    is identical {{ isPairwise ? 'in every pair of' : 'in both' }} populations.\n</p>\n\n<p>\n    <list-compared-populations [params]=\"params\"></list-compared-populations>\n</p>\n\n<p>\n    There are two possible outcomes depending on the {{ isPairwise ? '𝘱-values' : '𝘱-value' }}:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n        <br>\n        The hypothesis is rejected. The\n        mean <b>{{ params.xColumn.name }}</b>\n        is not the same {{ isPairwise ? 'for this pair of' : 'in both' }} populations.\n    </li>\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive.\n    </li>\n</ul>\n\n<p>\n    It has been shown that the conclusion is meaningful under the following conditions:\n</p>\n\n<ul>\n    <li>\n        Observations of\n        <b>{{ params.xColumn.name }}</b>\n        are independent and identically distributed\n    </li>\n    <li>\n        Variable\n        <b>{{ params.xColumn.name }}</b>\n        is normally distributed in {{ hasTwoSamples ? 'both' : 'every' }} populations\n        <br>\n        <span\n            class=\"text-weak\"\n            *ngIf=\"canAddCard\"\n        >\n            <i class=\"icon-lightbulb\"></i>\n            You may want to check this assumption using a\n            <a (click)=\"addGroupedShapiro()\">Shapiro-Wilk test</a>\n        </span>\n    </li>\n    <li>\n        Variance of\n        <b>{{ params.xColumn.name }}</b>\n        is identical in {{ hasTwoSamples ? 'both' : 'every' }} populations\n        <br>\n        <span\n            class=\"text-weak\"\n            *ngIf=\"canAddCard\"\n        >\n            <i class=\"icon-lightbulb\"></i>\n            You may want to have a look at\n            <a (click)=\"addGroupedSummary()\">summary statistics</a>\n        </span>\n    </li>\n</ul>\n<p>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        Missing values are discarded\n    </span>\n    <br>\n    <span class=\"text-weak\">\n        <i class=\"icon-info-sign\"></i>\n        &ngsp;\n        <a\n            href=\"https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.ttest_ind.html\"\n            target=\"_blank\"\n        >More information\n        </a>\n    </span>\n</p>\n","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, ViewContainerRef } from '@angular/core';\nimport { PairwiseTTestCard, TTest2SampCard, isAbstract2SampTestCard, isAbstractPairwiseTestCard } from 'src/generated-sources';\nimport { createShapiroCard, createVarianceComparisonCard } from '../card-creation-templates';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { EditCardModalComponent } from '@features/eda/worksheet/card-wizard/edit-card-modal/edit-card-modal.component';\nimport { CardActionType, CardAction } from '../../events';\n\ntype SupportedCards = PairwiseTTestCard | TTest2SampCard;\n\n@Component({\n    selector: 'generic-nsamp-ttest-card-help',\n    templateUrl: './generic-nsamp-ttest-card-help.component.html',\n    styleUrls: ['./generic-nsamp-ttest-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class GenericNSampTTestCardHelpComponent {\n    @Input() params: SupportedCards;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    constructor(private modalsService: ModalsService, private viewContainerRef: ViewContainerRef) { }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    addGroupedShapiro() {\n        if (!this.canAddCard) {\n            return;\n        }\n\n        const proposedCard = createShapiroCard(this.params.xColumn, this.params.yColumn);\n        this.modalsService.open(EditCardModalComponent, { params: proposedCard }, ModalShape.NONE,\n            this.viewContainerRef)\n            .then(({ card }) => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card\n                });\n            }, () => { });\n    }\n\n    get hasTwoSamples() {\n        return isAbstract2SampTestCard(this.params);\n    }\n\n    get isPairwise() {\n        return isAbstractPairwiseTestCard(this.params);\n    }\n\n    addGroupedSummary() {\n        if (!this.canAddCard) {\n            return;\n        }\n\n        const proposedCard = createVarianceComparisonCard(this.params.xColumn, this.params.yColumn);\n        this.modalsService.open(EditCardModalComponent, { params: proposedCard }, ModalShape.NONE,\n            this.viewContainerRef)\n            .then(({ card }) => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card\n                });\n            }, () => { });\n    }\n}\n","import { EventEmitter, ViewContainerRef } from \"@angular/core\";\nimport { EditCardModalComponent } from \"@features/eda/worksheet/card-wizard/edit-card-modal/edit-card-modal.component\";\nimport { CardAction, CardActionType } from \"@features/eda/worksheet/cards/events\";\nimport { createACFPlotCard, createDurbinWatsonCard } from \"@features/eda/worksheet/cards/help/card-creation-templates\";\nimport { ModalShape, ModalsService } from \"@shared/modals/modals.service\";\nimport { Card, TimeSeriesCard } from \"src/generated-sources\";\n\n// Characterize a time series\nexport type TimeSeriesParams = Pick<TimeSeriesCard, 'seriesColumn' | 'timeColumn' | 'seriesIdentifiers'>\n\nexport class CardCreationHelper {\n    constructor(\n        private modalsService: ModalsService,\n        private viewContainerRef: ViewContainerRef,\n        private action: EventEmitter<CardAction>,\n    ) { }\n\n    createDurbinWatsonCard(params: TimeSeriesParams) {\n        this.openModal(createDurbinWatsonCard(\n            params.seriesColumn,\n            params.timeColumn,\n            params.seriesIdentifiers,\n        ))\n    }\n\n    createACFPlotCard(params: TimeSeriesParams) {\n        this.openModal(createACFPlotCard(\n            params.seriesColumn,\n            params.timeColumn,\n            params.seriesIdentifiers,\n        ))\n    }\n\n    openModal(params: Card) {\n        this.modalsService.open(\n            EditCardModalComponent,\n            { params },\n            ModalShape.NONE,\n            this.viewContainerRef\n        ).then(\n            ({ card }) => {\n                this.action.emit({\n                    type: CardActionType.ADD,\n                    card,\n                })\n            },\n            () => { /* swallow the error */ }\n        );\n    }\n}\n","<p>\n    The Augmented Dickey-Fuller test tests the hypothesis that there exists a\n    unit root in <b>{{ params.seriesColumn.name }}</b>, with\n    the alternative hypothesis that there is no unit root.\n</p>\n\n<p>\n    The hypothesis is tested in the context of serial correlation.\n\n    Serial correlation occurs in a series when a series value and a lagged\n    version of itself (for instance the values at times T and at T-1) are\n    observed to be correlated with one another over periods of time.\n\n    Serial correlation can be checked either through\n    <span *ngIf=\"!canAddCard\">\n        autocorrelation visual inspection\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addACFPlotCard()\">\n        autocorrelation visual inspection\n    </a>\n    or by using the\n    <span *ngIf=\"!canAddCard\">\n        Durbin-Watson statistic\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addDurbinWatsonCard()\">\n        Durbin-Watson statistic\n    </a>.\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        The hypothesis is rejected.\n        The test rejects the presence of a unit root in <b>{{ params.seriesColumn.name }}</b>.\n        It indicates that the series may be {{ stationarityLabel }}.\n    </li>\n\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis.\n        The test is inconclusive about whether there exists a unit root in <b>{{ params.seriesColumn.name }}</b>.\n    </li>\n</ul>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output, ViewContainerRef } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { CardCreationHelper } from \"@features/eda/worksheet/cards/help/card-creation-helper\";\nimport { ModalsService } from \"@shared/modals/modals.service\";\nimport { UnitRootTestADF, UnitRootTestADFCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'unit-root-test-adf-card-help',\n    templateUrl: './unit-root-test-adf-card-help.component.html',\n    styleUrls: ['./unit-root-test-adf-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnitRootTestADFCardHelpComponent {\n    @Input() params: UnitRootTestADFCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    private cardCreationHelper: CardCreationHelper;\n\n    constructor(\n        modalsService: ModalsService,\n        viewContainerRef: ViewContainerRef,\n    ) {\n        this.cardCreationHelper = new CardCreationHelper(\n            modalsService,\n            viewContainerRef,\n            this.action\n        );\n    }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    get stationarityLabel(): string {\n        switch (this.params.regressionMode) {\n            case UnitRootTestADF.RegressionMode.NO_CONSTANT_NO_TREND:\n            case UnitRootTestADF.RegressionMode.CONSTANT_ONLY:\n                return \"stationary\";\n\n            case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_TREND:\n            case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_QUADRATIC_TREND:\n                return \"trend stationary\";\n        }\n    }\n\n    addACFPlotCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createACFPlotCard(this.params);\n        }\n    }\n\n    addDurbinWatsonCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createDurbinWatsonCard(this.params);\n        }\n    }\n}\n","<p>\n    The Zivot-Andrews test tests the hypothesis that there exists a unit root\n    with one structural break in <b>{{ params.seriesColumn.name }}</b>,\n    with the alternate hypothesis that it is {{ stationarityLabel }} with one structural\n    break.\n</p>\n\n<p>\n    The hypothesis is tested in the context of serial correlation.\n\n    Serial correlation occurs in a series when a series value and a lagged\n    version of itself (for instance the values at times T and at T-1) are\n    observed to be correlated with one another over periods of time.\n\n    Serial correlation can be checked either through\n    <span *ngIf=\"!canAddCard\">\n        autocorrelation visual inspection\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addACFPlotCard()\">\n        autocorrelation visual inspection\n    </a>\n    or by using the\n    <span *ngIf=\"!canAddCard\">\n        Durbin-Watson statistic\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addDurbinWatsonCard()\">\n        Durbin-Watson statistic\n    </a>.\n</p>\n\n<p>\n    A structural break is an unexpected change over time in the parameters of\n    the regression model that is used to fit the series.\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        The hypothesis is rejected.\n        <b>{{ params.seriesColumn.name }}</b> is {{ stationarityLabel }} with one structural break.\n    </li>\n\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis.\n        The test is inconclusive about whether <b>{{ params.seriesColumn.name }}</b>\n        admits a unit root with one structural break.\n    </li>\n</ul>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output, ViewContainerRef } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { CardCreationHelper } from \"@features/eda/worksheet/cards/help/card-creation-helper\";\nimport { ModalsService } from \"@shared/modals/modals.service\";\nimport { UnitRootTestZA, UnitRootTestZACard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'unit-root-test-za-card-help',\n    templateUrl: './unit-root-test-za-card-help.component.html',\n    styleUrls: ['./unit-root-test-za-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnitRootTestZACardHelpComponent {\n    @Input() params: UnitRootTestZACard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    private cardCreationHelper: CardCreationHelper;\n\n    constructor(\n        modalsService: ModalsService,\n        viewContainerRef: ViewContainerRef,\n    ) {\n        this.cardCreationHelper = new CardCreationHelper(\n            modalsService,\n            viewContainerRef,\n            this.action\n        );\n    }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    get stationarityLabel(): string {\n        switch (this.params.regressionMode) {\n            case UnitRootTestZA.RegressionMode.CONSTANT_ONLY:\n                return \"stationary\";\n\n            case UnitRootTestZA.RegressionMode.TREND_ONLY:\n            case UnitRootTestZA.RegressionMode.CONSTANT_WITH_TREND:\n                return \"trend stationary\";\n        }\n    }\n\n    addACFPlotCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createACFPlotCard(this.params);\n        }\n    }\n\n    addDurbinWatsonCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createDurbinWatsonCard(this.params);\n        }\n    }\n}\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { UnitRootTestKPSS, UnitRootTestKPSSCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'unit-root-test-kpss-card-help',\n    templateUrl: './unit-root-test-kpss-card-help.component.html',\n    styleUrls: ['./unit-root-test-kpss-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnitRootTestKPSSCardHelpComponent {\n    @Input() params: UnitRootTestKPSSCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    get stationarityLabel(): string {\n        switch (this.params.regressionMode) {\n            case UnitRootTestKPSS.RegressionMode.CONSTANT:\n                return \"stationary\";\n\n            case UnitRootTestKPSS.RegressionMode.CONSTANT_WITH_TREND:\n                return \"trend stationary\";\n        }\n    }\n}\n","<p>\n    The Kwiatkowski-Phillips-Schmidt-Shin test tests the hypothesis that\n    <b>{{ params.seriesColumn.name }}</b> is {{ stationarityLabel }},\n    with the alternate hypothesis that it is not {{ stationarityLabel }}.\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        The hypothesis is rejected.\n        <b>{{ params.seriesColumn.name }}</b> is not {{ stationarityLabel }}.\n        It indicates that the series may admit a unit root.\n    </li>\n\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. Test is inconclusive about\n        whether <b>{{ params.seriesColumn.name }}</b> is {{ stationarityLabel }}.\n    </li>\n</ul>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { DurbinWatsonCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'durbin-watson-card-help',\n    templateUrl: './durbin-watson-card-help.component.html',\n    styleUrls: ['./durbin-watson-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DurbinWatsonCardHelpComponent {\n    @Input() params: DurbinWatsonCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n}\n","<p>\n    The Durbin-Watson statistic tests the hypothesis that there is no\n    first order autocorrelation in <b>{{ params.seriesColumn.name }}</b>,\n    with the alternate hypothesis that there is a first order autocorrelation\n    (either positive or negative).\n</p>\n\n<p>\n    First order autocorrelation means that the series is correlated with a lagged version of itself,\n    using a lag value of 1.\n</p>\n\n<p>\n    This test assumes that the series is stationary, normally distributed and centered around 0.\n    Such conditions can be met when the series contains the residuals between a model and real data\n    are computed using ordinary least squares, for instance.\n</p>\n\n<p>\n    The statistic value <em>stat</em> always statisfies <em>0 &le; stat &le; 4</em>.\n    There are three possible outcomes depending on the statistic:\n</p>\n\n<ul>\n    <li>\n        <b>the closer to 0 the statistic</b>,\n        the more evidence for positive serial correlation.\n    </li>\n    <li>\n        <b>the closer to 4 the statistic</b>,\n        the more evidence for negative serial correlation.\n    </li>\n    <li>\n        <b>the closer to 2 the statistic</b>,\n        the more evidence for no serial correlation.\n    </li>\n</ul>\n\n<p>\n    A rule of thumb is that Durbin-Watson statistic values in the range of 1.5\n    to 2.5 do not show enough evidence for serial correlation.\n</p>\n","<p>\n    The Mann-Kendall Trend Test is used to analyze series data for\n    consistently increasing or decreasing trends (monotonic trends). It tests\n    the hypothesis that there is no monotonic trend in <b>{{ params.seriesColumn.name }}</b>,\n    with the alternate hypothesis that there is a monotonic trend.\n</p>\n\n<p>\n    The Mann-Kendall test does not consider serial correlation or seasonal\n    effects. These two assumptions must be checked prior to running the test.\n</p>\n\n<p>\n    Serial correlation occurs in a series when a series value and a lagged\n    version of itself (for instance the values at times T and at T-1) are\n    observed to be correlated with one another over periods of time.\n\n    Serial correlation can be checked either through\n    <span *ngIf=\"!canAddCard\">\n        autocorrelation visual inspection\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addACFPlotCard()\">\n        autocorrelation visual inspection\n    </a>\n    or by using the\n    <span *ngIf=\"!canAddCard\">\n        Durbin-Watson statistic\n    </span>\n    <a *ngIf=\"canAddCard\" (click)=\"addDurbinWatsonCard()\">\n        Durbin-Watson statistic\n    </a>.\n</p>\n\n<p>\n    There are two possible outcomes depending on the 𝘱-value:\n</p>\n\n<ul>\n    <li>\n        <b>\n            𝘱-value &le; significance level (&le; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        The hypothesis is rejected. There is a monotonic trend present in <b>{{ params.seriesColumn.name }}</b>,\n        and the test is able to tell whether the trend is increasing or decreasing.\n    </li>\n\n    <li>\n        <b>\n            𝘱-value is &gt; significance level (&gt; {{ 1 - params.confidenceLevel | smarterNumber }})\n        </b>\n\n        <br>\n        Not enough evidence against the hypothesis. The test is inconclusive about whether\n        there is no monotonic trend present in <b>{{ params.seriesColumn.name }}</b>.\n    </li>\n</ul>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output, ViewContainerRef } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { CardCreationHelper } from \"@features/eda/worksheet/cards/help/card-creation-helper\";\nimport { ModalsService } from \"@shared/modals/modals.service\";\nimport { MannKendallTestCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'mann-kendall-test-card-help',\n    templateUrl: './mann-kendall-test-card-help.component.html',\n    styleUrls: ['./mann-kendall-test-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class MannKendallTestCardHelpComponent {\n    @Input() params: MannKendallTestCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    private cardCreationHelper: CardCreationHelper;\n\n    constructor(\n        modalsService: ModalsService,\n        viewContainerRef: ViewContainerRef,\n    ) {\n        this.cardCreationHelper = new CardCreationHelper(\n            modalsService,\n            viewContainerRef,\n            this.action\n        );\n    }\n\n    get canAddCard() {\n        return !this.readOnly && this.extendedActions;\n    }\n\n    addACFPlotCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createACFPlotCard(this.params);\n        }\n    }\n\n    addDurbinWatsonCard() {\n        if (this.canAddCard) {\n            this.cardCreationHelper.createDurbinWatsonCard(this.params);\n        }\n    }\n}\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, Output } from \"@angular/core\";\nimport { CardAction } from \"@features/eda/worksheet/cards/events\";\nimport { ACFPlotCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'acf-plot-card-help',\n    templateUrl: './acf-plot-card-help.component.html',\n    styleUrls: ['./acf-plot-card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class AcfPlotCardHelpComponent {\n    @Input() params: ACFPlotCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n}\n","<p>\n    Autocorrelation represents the degree of correlation between a series and a lagged version\n    of itself over successive time periods: for instance the values at times T and at time T-1,\n    the values at time T and at time T-2, and so on.\n\n    The autocorrelation function is the function that, for a given lag, computes the corresponding\n    autocorrelation coefficient.\n</p>\n\n<p>\n    When autocorrelation is detected, the inspection of the partial autocorrelation function may\n    reveal additional information about the influence of specific lags on the autocorrelation\n    coefficients. Like the autocorrelation, the partial autocorrelation represents the degree of\n    correlation between a series and a lagged version of itself, but it excludes the influence of\n    the series values within the observed time period.\n</p>\n","<div [qa]=\"'eda-card-help-content'\">\n    <tztest1-samp-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'ttest_ztest_1samp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></tztest1-samp-card-help>\n\n    <shapiro-normality-test-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'shapiro'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></shapiro-normality-test-card-help>\n\n    <ks-test2-samp-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'ks_test_2samp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></ks-test2-samp-card-help>\n\n    <sign-test1-samp-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'sign_test_1samp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></sign-test1-samp-card-help>\n\n    <chi2-ind-test-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'chi2_independence_test'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></chi2-ind-test-card-help>\n\n    <generic-nsamp-mood-test-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'mood_nsamp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></generic-nsamp-mood-test-help>\n\n    <generic-nsamp-mood-test-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'mood_test_2samp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></generic-nsamp-mood-test-help>\n\n    <generic-nsamp-mood-test-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'pairwise_mood'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></generic-nsamp-mood-test-help>\n\n    <one-way-anova-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'oneway_anova'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></one-way-anova-card-help>\n\n    <generic-nsamp-ttest-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'ttest_2samp'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></generic-nsamp-ttest-card-help>\n\n    <generic-nsamp-ttest-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'pairwise_ttest'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></generic-nsamp-ttest-card-help>\n\n    <unit-root-test-adf-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'unit_root_test_adf'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></unit-root-test-adf-card-help>\n\n    <unit-root-test-za-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'unit_root_test_za'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></unit-root-test-za-card-help>\n\n    <unit-root-test-kpss-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'unit_root_test_kpss'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></unit-root-test-kpss-card-help>\n\n    <durbin-watson-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'durbin_watson'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></durbin-watson-card-help>\n\n    <mann-kendall-test-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'mann_kendall_test'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></mann-kendall-test-card-help>\n\n    <acf-plot-card-help\n        [params]=\"params\"\n        *ngIf=\"params.type == 'acf_plot'\"\n        [readOnly]=\"readOnly\"\n        [extendedActions]=\"extendedActions\"\n        (action)=\"action.emit($event)\"\n    ></acf-plot-card-help>\n</div>\n","import { Component, Input, ChangeDetectionStrategy, EventEmitter, Output } from '@angular/core';\nimport { Card } from 'src/generated-sources';\nimport { CardAction } from '../events';\n\n@Component({\n    selector: 'card-help',\n    templateUrl: './card-help.component.html',\n    styleUrls: ['./card-help.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CardHelpComponent {\n    @Input() params: Card;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    static isAvailableForCard(card: Card): boolean {\n        switch (card.type) {\n            case 'ttest_ztest_1samp':\n                return !card.knownStdDev; // TODO: write content for z-test\n            case 'shapiro':\n            case 'ks_test_2samp':\n            case 'sign_test_1samp':\n            case 'chi2_independence_test':\n            case 'mood_nsamp':\n            case 'mood_test_2samp':\n            case 'pairwise_mood':\n            case 'oneway_anova':\n            case 'pairwise_ttest':\n            case 'ttest_2samp':\n            case 'unit_root_test_adf':\n            case 'unit_root_test_za':\n            case 'unit_root_test_kpss':\n            case 'durbin_watson':\n            case 'mann_kendall_test':\n            case 'acf_plot':\n                return true;\n        }\n        return false;\n    }\n}\n","<div class=\"modal modal--heatmap\">\n    <modal-header [title]=\"'Edit heatmap'\" [hasBorder]=\"false\"></modal-header>\n    <div class=\"modal-body flex\">\n        <form class=\"dkuform-modal-vertical\" [formGroup]=\"configForm\">\n            <div class=\"controls\">\n                <label>\n                    <input type=\"checkbox\" class=\"form__checkbox\" formControlName=\"showAbsValues\">\n                    Show absolute values\n                </label>\n            </div>\n            <div class=\"controls\">\n\n                <label>\n                    <input type=\"checkbox\" class=\"form__checkbox\" formControlName=\"showColors\">\n                    Show values as colors\n                </label>\n            </div>\n            <div class=\"controls\">\n                <label>\n                    <input type=\"checkbox\" class=\"form__checkbox\" formControlName=\"showValues\">\n                    Show values as text\n                </label>\n            </div>\n            <div class=\"controls\">\n                <label>\n                    Threshold\n                    <input type=\"number\" min=\"0\" max=\"1\" step=\"0.01\" formControlName=\"threshold\"\n                        required>\n                </label>\n            </div>\n            <div class=\"controls\" *ngIf=\"configForm.controls.threshold.value != 0\">\n                <label>\n                    <input type=\"checkbox\" class=\"form__checkbox\" formControlName=\"filterVariablesWithoutValues\">\n                    Do not show variables for which all values have been filtered out\n                </label>\n            </div>\n        </form>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button type=\"button\" class=\"btn btn--text btn--secondary\" (click)=\"dismiss();\" tabindex=\"-1\">Cancel</button>\n            <button type=\"button\" class=\"btn btn--text btn--primary\" (click)=\"finish();\" tabindex=\"-1\" [disabled]=\"configForm.invalid\">Apply</button>\n        </div>\n    </div>\n</div>\n","import { Component, Inject, OnInit } from '@angular/core';\nimport { MAT_DIALOG_DATA, MatDialogRef } from '@angular/material/dialog';\nimport _ from 'lodash';\nimport { FormBuilder, Validators } from '@angular/forms';\n\n@Component({\n    selector: 'heatmap-config',\n    templateUrl: './heatmap-config.component.html',\n    styleUrls: [\n        '../../../../shared-styles/forms.less',\n        './heatmap-config.component.less'\n    ]\n})\nexport class HeatmapConfigComponent implements OnInit {\n    configForm = this.fb.group({\n        showAbsValues: this.fb.control(null, [Validators.required]),\n        showColors: this.fb.control(null, [Validators.required]),\n        showValues: this.fb.control(null, [Validators.required]),\n        threshold: this.fb.control(null, [Validators.min(0), Validators.max(1)]),\n        filterVariablesWithoutValues: this.fb.control(null),\n    });\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) public data: any,\n        private dialogRef: MatDialogRef<HeatmapConfigComponent>,\n        private fb: FormBuilder\n    ) {\n        this.configForm.patchValue({\n            showAbsValues: data.params.showAbsValues,\n            showColors: data.params.showColors,\n            showValues: data.params.showValues,\n            threshold: data.params.threshold,\n            filterVariablesWithoutValues: data.params.filterVariablesWithoutValues\n        });\n    }\n\n    ngOnInit() {\n        this.configForm.controls.threshold.valueChanges.subscribe(\n            (value) => (value !== 0)\n                ?this.configForm.controls.filterVariablesWithoutValues.enable()\n                :this.configForm.controls.filterVariablesWithoutValues.disable()\n        )\n    }\n\n    dismiss() {\n        this.dialogRef.close(undefined);\n    }\n\n    finish() {\n        this.dialogRef.close({\n            showAbsValues: this.configForm.value.showAbsValues,\n            showColors: this.configForm.value.showColors,\n            showValues: this.configForm.value.showValues,\n            threshold: this.configForm.value.threshold,\n            filterVariablesWithoutValues: this.configForm.value.filterVariablesWithoutValues\n        });\n    }\n}\n","<ng-container *ngIf=\"showMenu\">\n    <button\n        *ngIf=\"showExtendedMenu\"\n        class=\"btn btn--icon btn--secondary menu-button pull-right\"\n        [class.menu-button--active]=\"menuActive\"\n        (menuOpened)=\"menuActive = true\"\n        (menuClosed)=\"menuActive = false\"\n        [matMenuTriggerFor]=\"contextualMenu\"\n        [matMenuTriggerRestoreFocus]=\"false\"\n        [qa]=\"{'eda-card-menu-trigger': { id: params.id, type: params.type}}\"\n    >\n        <i class=\"icon-dku-ellipsis-vertical\"></i>\n    </button>\n\n    <button\n        *ngIf=\"extendedActions && deletable\"\n        class=\"btn btn--icon btn--secondary menu-button pull-right\"\n        [class.menu-button--active]=\"menuActive\"\n        title=\"{{ removalText }}\"\n        [qa]=\"{'eda-card-menu-item': {action: 'delete'}}\"\n        [wt1Click]=\"'worksheets_delete-card'\"\n        (click)=\"handleDelete()\"\n    >\n        <i class=\"icon-trash\"></i>\n    </button>\n\n    <button\n        *ngIf=\"hasConfigureCardModal\"\n        class=\"btn btn--icon btn--secondary menu-button pull-right\"\n        [class.menu-button--active]=\"menuActive\"\n        title=\"{{ params | cardTitle: 'config' }}\"\n        [qa]=\"{'eda-card-menu-item': {action: 'configure'}}\"\n        (click)=\"configureCard()\"\n    >\n        <i class=\"icon-pencil\"></i>\n    </button>\n\n    <mat-menu #contextualMenu>\n        <ng-template matMenuContent>\n            <button\n                mat-menu-item\n                *ngIf=\"hasConfigureVisualizationModal\"\n                (click)=\"configureVisualization()\"\n                [qa]=\"{'eda-card-menu-item': {action: 'configure-viz'}}\"\n            >\n                Configure visualization…\n            </button>\n            <ng-container *ngIf=\"this.params.type == 'column_card'\">\n                <button\n                    mat-menu-item\n                    *ngIf=\"params.column.type != Variable.Type.CONTINUOUS && extendedActions\"\n                    (click)=\"treatAs(Variable.Type.CONTINUOUS)\"\n                    [wt1Click]=\"'worksheets_treat-as'\"\n                    [qa]=\"{'eda-card-menu-item': {action: 'treat-as', as: 'numerical'}}\"\n                >\n                    Treat {{ params.column.name }} as continuous\n                </button>\n                <button\n                    mat-menu-item\n                    *ngIf=\"params.column.type != Variable.Type.CATEGORICAL && extendedActions\"\n                    (click)=\"treatAs(Variable.Type.CATEGORICAL)\"\n                    [wt1Click]=\"'worksheets_treat-as'\"\n                    [qa]=\"{'eda-card-menu-item': {action: 'treat-as', as: 'categorical'}}\"\n                >\n                    Treat {{ params.column.name }} as categorical\n                </button>\n            </ng-container>\n            <button\n                mat-menu-item\n                *ngIf=\"extendedActions\"\n                (click)=\"addCard()\"\n                [wt1Click]=\"'worksheets_duplicate-card'\"\n                [qa]=\"{'eda-card-menu-item': {action: 'duplicate'}}\"\n            >\n                Duplicate as new card\n            </button>\n            <button\n                mat-menu-item\n                *ngIf=\"extendedActions\"\n                (click)=\"debugCard()\"\n                [qa]=\"{'eda-card-menu-item': {action: 'view-json'}}\"\n            >\n                View JSON…\n            </button>\n            <button\n                mat-menu-item\n                *ngIf=\"extendedActions\"\n                [qa]=\"{'eda-card-menu-item': {action: 'publish'}}\"\n                [wt1Click]=\"'worksheets_publish-card'\"\n                (click)=\"publish()\"\n            >\n                Publish…\n            </button>\n        </ng-template>\n    </mat-menu>\n</ng-container>\n","import { Component, Input, EventEmitter, Output, ChangeDetectionStrategy, ViewContainerRef, ChangeDetectorRef } from '@angular/core';\nimport { Card, Variable, isCorrelationMatrixCard, CorrelationMatrixCard, isPCACard, PCACard, ColumnCard, isColumnCard, isNumericalHistogramCard, isCDFPlotCard, isPlaygroundCard } from 'src/generated-sources';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { DeleteDialogComponent } from '../../delete-dialog/delete-dialog.component';\nimport { MatDialog } from '@angular/material/dialog';\nimport { HeatmapConfigComponent } from '../config/heatmap-config/heatmap-config.component';\nimport _ from 'lodash';\nimport { EditCardModalComponent, EditCardModalComponentInput } from '../../card-wizard/edit-card-modal/edit-card-modal.component';\nimport produce from 'immer';\nimport { getBasicCardTitle } from '@features/eda/card-utils';\n\n\n@Component({\n    selector: 'card-menu',\n    templateUrl: './card-menu.component.html',\n    styleUrls: [\n        '../../../shared-styles/menu-button.less',\n        './card-menu.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CardMenuComponent {\n    @Input() params: Card;\n    @Input() columnParams?: ColumnCard; // only if the card is a child of a ColumnCard\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Input() deletable: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    projectKey: string;\n    datasetName: string;\n    menuActive = false;\n\n    Variable = Variable;\n\n    constructor(\n        private modalsService: ModalsService,\n        private dialog: MatDialog,\n        private viewContainerRef: ViewContainerRef,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n    }\n\n    get hasConfigureCardModal(): boolean {\n        if (isColumnCard(this.params)) {\n            // \"Treat as\" actions are menu items (there is no modal)\n            return false;\n        }\n        if (isNumericalHistogramCard(this.params)) {\n            // Box plot is not configurable\n            return !!this.params.showHistogram;\n        }\n        if (isCDFPlotCard(this.params)) {\n            return false;\n        }\n        if(isPlaygroundCard(this.params)) {\n            return false;\n        }\n        return true;\n    }\n\n    get hasConfigureVisualizationModal(): boolean {\n        return isCorrelationMatrixCard(this.params) || isPCACard(this.params);\n    }\n\n    get removalText(): string {\n        return isColumnCard(this.params) ? 'Remove' : 'Delete';\n    }\n\n    get showMenu() {\n        return !this.readOnly && this.params && !(this.params.type === 'column_card' && !this.extendedActions)\n    }\n\n    get showExtendedMenu() {\n        return this.hasConfigureVisualizationModal || this.extendedActions;\n    }\n\n    handleDelete() {\n        const dialogRef = this.dialog.open(DeleteDialogComponent, {\n            data: {\n                title: isColumnCard(this.params) ? this.params.column.name : getBasicCardTitle(this.params),\n                type: this.params.type\n            },\n            restoreFocus: false,\n            panelClass: ['modal', 'modal3', 'dku-modal-panel-narrow']\n        });\n\n        dialogRef.afterClosed().subscribe((deleteCard: boolean) => {\n            if (deleteCard) {\n                this.action.emit({ type: CardActionType.DELETE });\n            }\n        });\n    }\n\n    configureCard() {\n        this.menuActive = true;\n\n        this.modalsService.open(EditCardModalComponent,\n            {\n                params: this.params,\n                columnParams: this.columnParams\n            } as EditCardModalComponentInput,\n            ModalShape.NONE,\n            this.viewContainerRef,\n            { restoreFocus: false }\n        ).then(({ card, updateSiblings }) => {\n            this.menuActive = false;\n            this.updateCard(card, updateSiblings);\n        }, () => {\n            this.menuActive = false;\n            this.changeDetectorRef.markForCheck();\n        });\n    }\n\n    configureVisualization() {\n        if (isCorrelationMatrixCard(this.params) || isPCACard(this.params)) {\n            this.modalsService.open(HeatmapConfigComponent, { params: this.params.heatmapParams },\n                ModalShape.NARROW, this.viewContainerRef)\n                .then((heatmapParams) => {\n                    // these second typeguards are imposed by TS.\n                    if (isCorrelationMatrixCard(this.params) || isPCACard(this.params)) {\n                        let card: CorrelationMatrixCard | PCACard = _.cloneDeep(this.params);\n                        card.heatmapParams = heatmapParams;\n                        this.updateCard(card, false);\n                    }\n                }, () => { });\n        }\n\n    }\n\n    updateCard(card: Card, updateSiblings: boolean) {\n        this.action.emit({ type: CardActionType.UPDATE, newParams: card, updateSiblings });\n    }\n\n    addCard() {\n        this.action.emit({ type: CardActionType.ADD, card: this.params });\n    }\n\n    publish() {\n        this.action.emit({ type: CardActionType.PUBLISH, card: this.params });\n    }\n\n    treatAs(type: Variable.Type) {\n        if (this.params.type === 'column_card') {\n            const newCard = produce(this.params, draft => {\n                draft.column.type = type;\n            });\n            this.updateCard(newCard, false);\n        }\n    }\n\n    debugCard() {\n        this.action.emit({ type: CardActionType.DEBUG, card: this.params })\n    }\n}\n","<span *ngIf=\"readOnly; else splitByEditable\">\n    <span *ngIf=\"splitBy?.groupingColumn\">\n        {{ acceptsColoring ? \"colored by\" : \"split by\" }}\n    </span>\n    <span [ngClass]=\"{'card__header-split--active': !!splitBy?.groupingColumn }\"\n        class=\"split-by__text\">\n        {{ splitBy?.groupingColumn ? splitBy?.groupingColumn.name : '' }}\n    </span>\n</span>\n<ng-template #splitByEditable>\n    <span [dkuPopoverTrigger]=\"splitByMenu\"\n        [qa]=\"'eda-split-by-menu'\"\n        [wt1Click]=\"'worksheets_split-button'\"\n        >\n        <span *ngIf=\"splitBy?.groupingColumn\">\n            {{ acceptsColoring ? \"colored by\" : \"split by\" }}\n        </span>\n        <span class=\"split-by__text\" [ngClass]=\"{'card__header-split--active': !!splitBy?.groupingColumn }\">\n            {{ splitByColumnName }}\n        </span>\n        <i class=\"icon-sort-down split-by__arrow\"></i>\n    </span>\n    <dku-popover #splitByMenu>\n        <div class=\"dkuform-horizontal\" [qa]=\"'eda-split-by-popover'\">\n            <form\n                [formGroup]=\"form\"\n                (ngSubmit)=\"save()\"\n            >\n                <div class=\"control-group\">\n                    <label class=\"control-label control-dropdown-label\">\n                        {{ acceptsColoring ? \"Color by\" : \"Split by\" }}\n                    </label>\n                    <div class=\"controls\">\n                        <single-variable-selector [variables]=\"variables$ | async\" [noVariableLabel]=\"noVariableLabel\" [noneSelectedText]=\"'No split'\" formControlName=\"selectedVariable\"></single-variable-selector>\n                    </div>\n                </div>\n                <binning-config formControlName=\"binningConfig\" [isCategorical]=\"isCategorical\"\n                    *ngIf=\"form.controls.selectedVariable.value\">\n                </binning-config>\n                <div class=\"control-group\" *ngIf=\"form.controls.selectedVariable.value && allowGroupAll && form.controls.groupWithAll.enabled\">\n                    <label>\n                        <input\n                            formControlName=\"groupWithAll\"\n                            class=\"form__checkbox\"\n                            type=\"checkbox\"\n                        >\n                        Show additional group for all values\n                    </label>\n                </div>\n                <div class=\"split-by__button pull-right\">\n                    <button\n                        class=\"btn btn--primary\"\n                        [qa]=\"'eda-split-by-save-button'\"\n                        [disabled]=\"form.invalid\"\n                        (click)=\"save()\"\n                    >\n                        Save\n                    </button>\n                </div>\n            </form>\n        </div>\n    </dku-popover>\n</ng-template>\n","import { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges, OnDestroy, OnInit, ViewChild } from '@angular/core';\nimport { SplitBySpec, Variable, BinningMode } from 'src/generated-sources';\nimport { ChangeDetectionStrategy } from '@angular/core';\nimport { FormBuilder, Validators, FormGroup } from '@angular/forms';\nimport { Observable } from 'rxjs';\nimport { DkuPopoverComponent } from '@app/widgets/dropdowns/dku-popover/dku-popover.component';\nimport { toggleFormControl } from '@utils/toggle-form-control';\nimport { CardWizardVariable } from '@features/eda/card-models';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { DEFAULT_SPLIT_BY_SPEC } from '@utils/dss-defaults';\n\n\n@Component({\n    selector: 'split-by-settings',\n    templateUrl: './split-by-settings.component.html',\n    styleUrls: [\n        '../../shared-styles/forms.less',\n        './split-by-settings.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SplitBySettingsComponent implements OnInit, OnChanges, OnDestroy {\n    @Input() splitBy: SplitBySpec | null;\n    @Input() allowGroupAll = true;\n    @Input() readOnly: boolean;\n    @Input() acceptsColoring: boolean;\n    @Output() splitByChange = new EventEmitter<SplitBySpec | null>();\n    @ViewChild('splitByMenu') popover: DkuPopoverComponent;\n\n    variables$: Observable<Variable[]>;\n\n    form: FormGroup;\n\n    constructor(\n        private fb: FormBuilder,\n        private sampleContextService: SampleContextService\n    ) {\n        const selectedVariableControl = this.fb.control(null);\n        const enableFunction = (variable: CardWizardVariable | null) => !!variable;\n\n        this.form = this.fb.group({\n            selectedVariable: selectedVariableControl,\n            binningConfig: toggleFormControl(this.fb.control(null, [Validators.required]), selectedVariableControl, enableFunction, () => { this.patchBinningConfig(); }),\n            groupWithAll: toggleFormControl(this.fb.control(null), selectedVariableControl, enableFunction, () => { this.patchGroupWithAll(); })\n        });\n    }\n\n    ngOnInit() {\n        this.variables$ = this.sampleContextService.availableVariables();\n    }\n\n    patchBinningConfig(): void {\n        this.form.patchValue({\n            binningConfig: this.splitBy ? {\n                maxValues: this.splitBy.maxValues,\n                groupWithOthers: this.splitBy.groupWithOthers,\n                binningMode: this.splitBy.binningMode,\n                customBinningBoundaries: this.splitBy.customBinningBoundaries,\n            } : {...DEFAULT_SPLIT_BY_SPEC},\n        });\n    }\n\n    patchGroupWithAll(): void {\n        this.form.patchValue({\n            groupWithAll: this.splitBy ? this.splitBy.groupWithAll : true,\n        });\n\n    }\n\n    patchForm(): void {\n        this.form.patchValue({\n            selectedVariable: this.splitBy ? {\n                ...this.splitBy.groupingColumn\n            } : null,\n\n            binningConfig: this.splitBy ? {\n                maxValues: this.splitBy.maxValues,\n                groupWithOthers: this.splitBy.groupWithOthers,\n                binningMode: this.splitBy.binningMode,\n                customBinningBoundaries: this.splitBy.customBinningBoundaries,\n            } : {...DEFAULT_SPLIT_BY_SPEC},\n\n            groupWithAll: this.splitBy ? this.splitBy.groupWithAll : true,\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.splitBy) {\n            this.patchForm();\n        }\n    }\n\n    save() {\n        if (this.form.valid) {\n            this.changeSplitByColumn();\n        }\n\n        this.popover.hide();\n    }\n\n    ngOnDestroy() {\n\n    }\n\n    changeSplitByColumn() {\n        const form = this.form.value;\n\n        if (form.selectedVariable) {\n            this.splitByChange.next({\n                groupingColumn: form.selectedVariable,\n                maxValues: form.binningConfig.maxValues,\n                groupWithOthers: form.binningConfig.groupWithOthers,\n                binningMode: form.binningConfig.binningMode,\n                customBinningBoundaries: form.binningConfig.customBinningBoundaries,\n                groupWithAll: this.allowGroupAll && form.groupWithAll\n            });\n        } else {\n            this.splitByChange.next(null);\n        }\n    }\n\n    get isCategorical(): boolean {\n        return this.form.value.selectedVariable ? this.form.value.selectedVariable.type === Variable.Type.CATEGORICAL : false;\n    }\n\n    get splitByColumnName(): string {\n        return this.splitBy?.groupingColumn?.name ?? this.noVariableLabel;\n    }\n\n    get noVariableLabel(): string {\n        return this.acceptsColoring ? 'No color' : 'No split';\n    }\n}\n","<ng-container *ngIf=\"displayedResults && displayedParams\">\n    <div\n        class=\"h100\"\n        [qa]=\"{'eda-card-body': {'id': params.id,'type': params.type}}\"\n        *ngIf=\"!displayOverlay && displayedResults.type == 'unavailable'; else availableBody\"\n    >\n        <unavailable-card-body [results]=\"displayedResults\" [params]=\"displayedParams\"></unavailable-card-body>\n    </div>\n    <ng-template #availableBody>\n        <ng-container *ngIf=\"displayedParams.type == displayedResults.type\" [ngSwitch]=\"displayedParams.type\">\n            <div [qa]=\"{'eda-card-body': {id: params.id, type: params.type}}\" class=\"h100\">\n                <categorical-histogram-card-body *ngSwitchCase=\"'categorical_histogram'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\"\n                    (action)=\"propagateAction($event)\" [renderingMode]=\"renderingMode\">\n                </categorical-histogram-card-body>\n\n                <ks-test-2samp-card-body *ngSwitchCase=\"'ks_test_2samp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </ks-test-2samp-card-body>\n\n                <generic-nsamp-test-card-body *ngSwitchCase=\"'mood_nsamp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-nsamp-test-card-body>\n\n                <tztest1-samp-card-body *ngSwitchCase=\"'ttest_ztest_1samp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </tztest1-samp-card-body>\n\n                <sign-test1-samp-card-body *ngSwitchCase=\"'sign_test_1samp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </sign-test1-samp-card-body>\n\n                <generic-nsamp-test-card-body *ngSwitchCase=\"'ttest_2samp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-nsamp-test-card-body>\n\n                <generic-nsamp-test-card-body *ngSwitchCase=\"'mood_test_2samp'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-nsamp-test-card-body>\n\n                <generic-nsamp-test-card-body *ngSwitchCase=\"'oneway_anova'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-nsamp-test-card-body>\n\n                <generic-pairwise-test-card-body *ngSwitchCase=\"'pairwise_ttest'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-pairwise-test-card-body>\n\n                <generic-pairwise-test-card-body *ngSwitchCase=\"'pairwise_mood'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </generic-pairwise-test-card-body>\n\n                <numerical-histogram-card-body *ngSwitchCase=\"'numerical_histogram'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\"\n                    (action)=\"propagateAction($event)\" [renderingMode]=\"renderingMode\">\n                </numerical-histogram-card-body>\n\n                <generic-summary-stats-card-body *ngSwitchCase=\"'univariate_summary'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" (action)=\"propagateAction($event)\"\n                    [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\">\n                </generic-summary-stats-card-body>\n\n                <shapiro-normality-test-card-body *ngSwitchCase=\"'shapiro'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </shapiro-normality-test-card-body>\n\n                <quantiles-table-card-body *ngSwitchCase=\"'quantile_table'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </quantiles-table-card-body>\n\n                <univariate-frequency-table-card-body *ngSwitchCase=\"'univariate_frequency_table'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </univariate-frequency-table-card-body>\n\n                <bivariate-histogram-card-body *ngSwitchCase=\"'bivariate_histogram'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\"\n                    (action)=\"propagateAction($event)\">\n                </bivariate-histogram-card-body>\n\n                <bivariate-box-plot-card-body *ngSwitchCase=\"'bivariate_box_plot'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\"\n                    (action)=\"propagateAction($event)\">\n                </bivariate-box-plot-card-body>\n\n                <scatter-plot-card-body *ngSwitchCase=\"'scatter_plot'\" class=\"header-stat-card\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\" (action)=\"propagateAction($event)\">\n                </scatter-plot-card-body>\n\n                <mosaic-plot-card-body *ngSwitchCase=\"'mosaic_plot'\" class=\"header-stat-card\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\" (action)=\"propagateAction($event)\">\n                </mosaic-plot-card-body>\n\n                <generic-summary-stats-card-body *ngSwitchCase=\"'bivariate_summary'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" (action)=\"propagateAction($event)\"\n                    [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\">\n                </generic-summary-stats-card-body>\n\n                <bivariate-frequency-table-card-body *ngSwitchCase=\"'bivariate_frequency_table'\" class=\"header-stat-card\"\n                    [params]=\"displayedParams\" [results]=\"displayedResults\" [renderingMode]=\"renderingMode\"\n                    (action)=\"propagateAction($event)\">\n                </bivariate-frequency-table-card-body>\n\n                <fit-2d-distribution-card-body *ngSwitchCase=\"'fit_2d_distribution'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" [hasFixedHeight]=\"hasFixedHeight\" (action)=\"propagateAction($event)\">\n                </fit-2d-distribution-card-body>\n\n                <header-card-body *ngSwitchCase=\"'univariate_header'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\" (action)=\"propagateAction($event)\">\n                </header-card-body>\n\n                <header-card-body *ngSwitchCase=\"'bivariate_header'\" [params]=\"displayedParams\" [results]=\"displayedResults\"\n                    [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\" (action)=\"propagateAction($event)\">\n                </header-card-body>\n\n                <fit-distribution-card-body *ngSwitchCase=\"'fit_distribution'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </fit-distribution-card-body>\n\n                <chi2-ind-test-card-body *ngSwitchCase=\"'chi2_independence_test'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </chi2-ind-test-card-body>\n\n                <fit-curve-card-body *ngSwitchCase=\"'fit_curve'\" [params]=\"displayedParams\" [results]=\"displayedResults\"\n                    (action)=\"propagateAction($event)\">\n                </fit-curve-card-body>\n\n                <correlation-matrix-card-body *ngSwitchCase=\"'correlation_matrix'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" [readOnly]=\"readOnly\" (action)=\"propagateAction($event)\">\n                </correlation-matrix-card-body>\n\n                <scatter-plot-3d-card-body *ngSwitchCase=\"'scatter_plot_3d'\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\">\n                </scatter-plot-3d-card-body>\n\n                <cdf-plot-card-body *ngSwitchCase=\"'cdf_plot'\" class=\"header-stat-card\"\n                    [hasFixedHeight]=\"hasFixedHeight\" [params]=\"displayedParams\"\n                    [results]=\"displayedResults\" (action)=\"propagateAction($event)\"\n                    [renderingMode]=\"renderingMode\">\n                </cdf-plot-card-body>\n\n                <parallel-coordinates-plot-card-body *ngSwitchCase=\"'parallel_coordinates_plot'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                    (action)=\"propagateAction($event)\">\n                </parallel-coordinates-plot-card-body>\n\n                <pca-card-body *ngSwitchCase=\"'pca'\" [params]=\"displayedParams\" [results]=\"displayedResults\"\n                    [hasFixedHeight]=\"hasFixedHeight\" [readOnly]=\"readOnly\" (action)=\"propagateAction($event)\">\n                </pca-card-body>\n\n                <unit-root-test-card-body\n                    *ngSwitchCase=\"'unit_root_test_adf'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                ></unit-root-test-card-body>\n\n                <unit-root-test-card-body\n                    *ngSwitchCase=\"'unit_root_test_za'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                ></unit-root-test-card-body>\n\n                <unit-root-test-card-body\n                    *ngSwitchCase=\"'unit_root_test_kpss'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                ></unit-root-test-card-body>\n\n                <durbin-watson-card-body\n                    *ngSwitchCase=\"'durbin_watson'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                >\n                </durbin-watson-card-body>\n\n                <mann-kendall-test-card-body\n                    *ngSwitchCase=\"'mann_kendall_test'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                ></mann-kendall-test-card-body>\n\n                <acf-plot-card-body\n                    *ngSwitchCase=\"'acf_plot'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                    [hasFixedHeight]=\"hasFixedHeight\"\n                ></acf-plot-card-body>\n\n                <playground-card-body\n                    *ngSwitchCase=\"'playground'\"\n                    [params]=\"displayedParams\"\n                    [results]=\"displayedResults\"\n                    [readOnly]=\"readOnly\"\n                    (action)=\"propagateAction($event)\"\n                ></playground-card-body>\n\n                <ng-container *ngSwitchDefault>\n                    NOT IMPLEMENTED: {{ displayedParams.type }}\n                </ng-container>\n            </div>\n        </ng-container>\n\n        <ng-container *ngIf=\"displayedResults.type == 'groups'\">\n            <ng-container [ngSwitch]=\"displayedParams.type\">\n                <!-- Card has a custom/special grouped layout -->\n                <ng-container *ngSwitchCase=\"'univariate_header'\">\n                    <grouped-header-card-body [params]=\"displayedParams\" [results]=\"displayedResults\" [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\" (action)=\"propagateAction($event)\">\n                    </grouped-header-card-body>\n                </ng-container>\n\n                <ng-container *ngSwitchCase=\"'bivariate_header'\">\n                    <grouped-header-card-body [params]=\"displayedParams\" [results]=\"displayedResults\" [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\" (action)=\"propagateAction($event)\">\n                    </grouped-header-card-body>\n                </ng-container>\n\n                <!-- Most cards are using the generic grouped layout -->\n                <grouped-card-body *ngSwitchDefault [params]=\"displayedParams\" [results]=\"displayedResults\"\n                    [renderingMode]=\"CardBodyRenderingMode.TOP_LEVEL_CARD\" [readOnly]=\"readOnly\" [extendedActions]=\"extendedActions\"[hasFixedHeight]=\"hasFixedHeight\" (action)=\"propagateAction($event)\"></grouped-card-body>\n            </ng-container>\n        </ng-container>\n\n        <div *ngFor=\"let warning of distinctWarnings; trackBy: trackByIndex\" class=\"alert alert-warning\">\n            <i class=\"icon-warning-sign\"></i>\n            {{ warning }}\n        </div>\n    </ng-template>\n    <div class=\"overlay\" *ngIf=\"displayOverlay\">\n        <div>\n            <span class=\"dku-loader icon-spin card-spinner\"></span>\n        </div>\n    </div>\n</ng-container>\n","import { Component, EventEmitter, Output, Input, OnInit, OnChanges, SimpleChanges, ChangeDetectionStrategy, ViewChild, ElementRef, OnDestroy, Optional } from '@angular/core';\nimport { Card, CardResult } from 'src/generated-sources';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport deepEqual from 'fast-deep-equal';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { BehaviorSubject, asyncScheduler } from 'rxjs';\nimport { combineLatestObject } from 'dku-frontend-core';\nimport { subscribeOn } from 'rxjs/operators';\nimport { isFullyComputed } from '@features/eda/card-utils';\nimport { WorksheetContextService } from '@features/eda/worksheet-state/worksheet.context.service';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\n\n@UntilDestroy()\n@Component({\n    selector: 'card-body',\n    templateUrl: './card-body.component.html',\n    styleUrls: [\n        '../../../shared-styles/card-spinner.less',\n        './card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CardBodyComponent implements OnInit, OnChanges, OnDestroy {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n\n    @Input() results: CardResult;\n    @Input() params: Card;\n    @Input() renderingMode = CardBodyRenderingMode.STAT_CARD;\n    @Input() readOnly: boolean;\n    @Input() cardKey: string | undefined;\n    @Input() extendedActions: boolean;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    displayedResults$ = new BehaviorSubject<CardResult | undefined>(undefined);\n    displayedParams$ = new BehaviorSubject<Card | undefined>(undefined);\n    displayOverlay = false;\n\n    constructor(\n        private elementRef: ElementRef<HTMLElement>,\n        @Optional() private worksheetContextService: WorksheetContextService\n    ) { }\n\n    get displayedResults() {\n        return this.displayedResults$.value;\n    }\n\n    get displayedParams() {\n        return this.displayedParams$.value;\n    }\n\n    ngOnInit() {\n        this.updateDisplayedState();\n\n        if (this.worksheetContextService) {\n            combineLatestObject({\n                focusedCardId: this.worksheetContextService.getFocusedCardId(),\n                displayedParams: this.displayedParams$,\n                displayedResults: this.displayedResults$\n            }).pipe(subscribeOn(asyncScheduler), untilDestroyed(this))\n                .subscribe(({ focusedCardId, displayedParams, displayedResults }) => {\n                    // Check if results are available and the current card is focused\n                    if (displayedParams && displayedParams.id === focusedCardId\n                        && displayedResults && isFullyComputed(displayedResults)) {\n                        // Scroll to the card\n                        this.elementRef.nativeElement.scrollIntoView();\n                        // Clear focused card once scrolled into\n                        this.worksheetContextService.resetFocusedCardTransition();\n                    }\n                });\n        }\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results || changes.params) {\n            this.updateDisplayedState();\n        }\n    }\n\n    propagateAction(event: CardAction) {\n        if (!this.displayOverlay) {\n            this.action.emit(event);\n        }\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n\n    ngOnDestroy() {\n    }\n\n    updateDisplayedState() {\n        if (this.results.type === 'unavailable'\n            && this.results.reason === CardResult.UnavailabilityReason.NOT_COMPUTED\n            && this.displayedResults\n            && this.displayedResults.type !== 'unavailable') {\n            // Results are not available => display an overlay on top of the previous state\n            this.displayOverlay = true;\n        } else {\n            // Results are available => hide the overlay to show them\n            this.displayOverlay = false;\n\n            if (this.hasPossiblyChanged(this.displayedParams, this.params)) {\n                // Keep propagating the old reference if the params or results have not changed\n                // This avoids refreshing cards which have not been changed at all, especially\n                // if they contain expensive widgets like charts\n                this.displayedParams$.next(this.params);\n            }\n            if (this.hasPossiblyChanged(this.displayedResults, this.results)) {\n                // Same\n                this.displayedResults$.next(this.results);\n            }\n        }\n    }\n\n    hasPossiblyChanged(oldState: Card | CardResult | undefined, newState: Card | CardResult) {\n        if (oldState === newState) {\n            return false;\n        }\n        if (!oldState || oldState.type !== newState.type) {\n            return true;\n        }\n        switch (oldState.type) {\n            // Do not deep-check \"container-like\" cards/results because this is expensive\n            // and useless: leaf cards are recursively checked anyway\n            case 'bivariate_header':\n            case 'univariate_header':\n            case 'column_card':\n            case 'groups':\n                return true;\n        }\n        return !deepEqual(oldState, newState);\n    }\n\n    get distinctWarnings(): string[] {\n        if (!this.displayedResults || !this.displayedResults.warnings) {\n            return [];\n        }\n        return Array.from(new Set(this.displayedResults.warnings));\n    }\n}\n","import { BehaviorSubject } from 'rxjs';\nimport { Injectable, OnDestroy, RendererFactory2 } from '@angular/core';\nimport { distinctUntilChanged } from 'rxjs/operators';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n\n@UntilDestroy()\n@Injectable({\n    providedIn: 'root'\n})\nexport class QaModeService implements OnDestroy {\n    // Enabled when DSS is running in Selenium\n    private enabled$ = new BehaviorSubject(false);\n\n    constructor(rendererFactory2: RendererFactory2) {\n        // Make toggleQaMode() globally available (called by Selenium test suite)\n        (window as any).toggleQaMode = (flag: boolean) => this.enabled$.next(!!flag);\n\n        // Create a new renderer (it cannot be injected)\n        const renderer = rendererFactory2.createRenderer(document.body, null);\n\n        this.enabled$\n            .pipe(distinctUntilChanged(), untilDestroyed(this))\n            .subscribe((flag) => {\n                if (flag) {\n                    console.warn('QA mode is enabled (Selenium)');\n                }\n\n                // Disable Angular 2+ animations\n                renderer.setProperty(document.body, '@.disabled', flag);\n\n                // Add a CSS selector on body to enable/disable custom animations\n                if (flag) {\n                    document.body.classList.add('qa-mode-enabled');\n                    document.body.classList.remove('qa-mode-disabled');\n                } else {\n                    document.body.classList.remove('qa-mode-enabled');\n                    document.body.classList.add('qa-mode-disabled');\n                }\n            });\n\n        // Enable QA mode by default if a special cookie is present\n        if (/\\bdisable_dku_fancy=true\\b/.test(document.cookie)) {\n            this.enabled$.next(true);\n        }\n    }\n\n    ngOnDestroy() {\n    }\n\n    isQaEnabled() {\n        return this.enabled$.pipe(distinctUntilChanged());\n    }\n}\n","import { AsyncPipe } from '@angular/common';\nimport { PipeTransform, Pipe, ChangeDetectorRef } from '@angular/core';\nimport { of, BehaviorSubject, Observable, combineLatest } from 'rxjs';\nimport { delay, distinctUntilChanged, switchMap } from 'rxjs/operators';\nimport { QaModeService } from '@shared/directives/qa-mode/qa-mode.service';\n\n/**\n * This pipe can delay propagation of information in an Angular expression:\n * - Falsy values are delayed by 'delayInMs'\n * - Truthy values are forwarded transparently\n * - Initial value is always forwared transparently\n * - Delay is always disabled in QA mode (Selenium)\n *\n * Use case:\n *\n * Prevent a component from being destroy during :leave animation. Even if Angular doesn't clear the\n * DOM immediately, destroying a component can have side-effects (eg. echarts are cleared)\n *\n * This is a known Angular issue: https://github.com/angular/angular/issues/19826\n *\n * Usage:\n *\n * <div [@fadeInOut]=\"condition ? 'opened' : 'closed'\">\n *     <div *ngIf=\"condition | delayWhenFalse: 200\">\n *         <!--\n *              destroyed 200ms later so that opened->closed\n *              transition has enough time to complete\n *         -->\n *     </div>\n * </div>\n */\n@Pipe({\n    name: 'delayWhenFalse',\n    pure: false,\n})\nexport class DelayWhenFalsePipe extends AsyncPipe implements PipeTransform {\n    inputValue$ = new BehaviorSubject<any>(undefined);\n    delayInMs: number;\n    pipeValue$: Observable<any>;\n\n    constructor(cdRef: ChangeDetectorRef, qaModeService: QaModeService) {\n        super(cdRef);\n\n        this.pipeValue$ = combineLatest([\n            this.inputValue$.pipe(distinctUntilChanged()),\n            qaModeService.isQaEnabled()\n        ]).pipe(\n            switchMap(([value, qaMode], index) => (value || index === 0 || qaMode) ? of(value) : delay(this.delayInMs)(of(value)))\n        );\n    }\n\n    transform(value: any, delayInMs: number = 200) {\n        this.delayInMs = delayInMs;\n        this.inputValue$.next(value);\n        return super.transform(this.pipeValue$);\n    }\n}\n","<drag-scroll [dragEnabled]=\"params.type === 'univariate_header' || params.type === 'bivariate_header'\">\n    <div [id]=\"params.id\" class=\"card\"\n        [qa]=\"{'top-level-card': {id: params.id, type: params.type}}\"\n        *ngIf=\"cardCollapseState$ | async as cardCollapseState\">\n        <div class=\"card__inner vertical-flex\" *ngIf=\"helpCollapseState$ | async as helpCollapseState\">\n            <div class=\"card__header horizontal-flex\">\n                <div class=\"card__header-content\" cdkDragHandle>\n                    <h4 class=\"card__header-text\">\n                        <span (click)=\"toggleCard(!cardCollapseState.collapsed)\">\n                        <i *ngIf=\"showCollapsingControls\"\n                            \n                            class=\"icon-chevron-right chevron\"\n                            [class.chevron--collapsed]=\"cardCollapseState.collapsed\"\n                        ></i>\n                        &nbsp;\n                        {{ params | cardTitle: 'full' }}\n                        </span>\n                    </h4>\n    \n                    <div class=\"card__header-sub\">\n                        <span *ngIf=\"params.filter\" class=\"filter__title\" matTooltip=\"Filtered on {{ params.filter | filterName }}\">\n                            {{ params.filter | filterName }}\n                        </span>\n    \n                        <button\n                            *ngIf=\"showCollapsingControls && !cardCollapseState.collapsed && (helpIsAvailable$ | async)\"\n                            class=\"btn btn--icon btn--secondary help-button\"\n                            [qa]=\"'eda-card-help-toggle'\"\n                            [class.help-button--closed]=\"helpCollapseState.collapsed\"\n                            (click)=\"toggleHelp(!helpCollapseState.collapsed)\"\n                            [matTooltip]=\"helpCollapseState.collapsed ? 'Show help': 'Hide help'\">\n                            <i class=\"icon-dku-help\"></i>\n                        </button>\n\n                        <split-by-settings\n                            *ngIf=\"canUpdateSplitBySettings\"\n                            [readOnly]=\"readOnly || cardCollapseState.collapsed\"\n                            [splitBy]=\"splitBySettings\"\n                            [acceptsColoring]=\"acceptsColoring\"\n                            [allowGroupAll]=\"allowGroupWithAll\"\n                            (splitByChange)=\"updateSplitBySettings($event)\"\n                        ></split-by-settings>\n                    </div>\n    \n                    <card-menu class=\"pull-right\" [params]=\"params\" [readOnly]=\"readOnly\" [deletable]=\"true\"\n                            [extendedActions]=\"extendedActions\" (action)=\"handleAction($event)\"></card-menu>\n                    <div class=\"card__header-subtitle\" *ngIf=\"subtitle\">\n                        {{ subtitle }}\n                    </div>\n                </div>\n            </div>\n            <div [@fadeInOut]=\"cardCollapseState.collapsed ? 'closed' : 'opened'\">\n                <ng-container *ngIf=\"!cardCollapseState.collapsed | delayWhenFalse\">\n                    <ng-container *ngIf=\"helpIsAvailable$ | async\">\n                        <div [@fadeInOut]=\"helpCollapseState.collapsed ? 'closed' : 'opened'\">\n                            <div class=\"card__help\">\n                                <card-help\n                                    [params]=\"params\"\n                                    *ngIf=\"!helpCollapseState.collapsed | delayWhenFalse\"\n                                    [readOnly]=\"readOnly\"\n                                    (action)=\"handleAction($event)\"\n                                    [extendedActions]=\"extendedActions\">\n                                </card-help>\n                            </div>\n                        </div>\n                    </ng-container>\n    \n                    <div class=\"card__body\"\n                        [ngClass]=\"{'card__body--header': params.type === 'univariate_header' || params.type === 'bivariate_header'}\">\n                        <card-body\n                            [params]=\"params\"\n                            [results]=\"results\"\n                            [renderingMode]=\"CardBodyRenderingMode.TOP_LEVEL_CARD\"\n                            [readOnly]=\"readOnly\"\n                            [extendedActions]=\"extendedActions\"\n                            [hasFixedHeight]=\"hasFixedHeight\"\n                            (action)=\"handleAction($event)\">\n                        </card-body>\n                    </div>\n                </ng-container>\n            </div>\n    \n        </div>\n    </div>                \n</drag-scroll>","import { Component, ChangeDetectionStrategy, Output, EventEmitter, Input, OnChanges, SimpleChanges, Inject, ChangeDetectorRef, ViewChild } from '@angular/core';\nimport { Card, Variable, CardResult, SplitBySpec, isTimeSeriesCard, isPlaygroundCard } from 'src/generated-sources';\nimport { Observable, ReplaySubject } from 'rxjs';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { fadeInOutHeight } from '@shared/animations/fade-in-out';\nimport { CollapsingService, CollapsibleTopLevelCard, UpdatableCollapsingService, CollapsibleHelp } from '@features/eda/collapsing.service';\nimport { map, switchMap } from 'rxjs/operators';\nimport { MatDialog } from '@angular/material/dialog';\nimport { DeleteDialogComponent } from '../../delete-dialog/delete-dialog.component';\nimport { CardHelpComponent } from '../card-help/card-help.component';\nimport { getCardSubtitle, getBasicCardTitle, noFilterIfAll, acceptsColoring } from '@features/eda/card-utils';\nimport { DOCUMENT } from '@angular/common';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { CdkDragHandle } from '@angular/cdk/drag-drop';\n\n@Component({\n    selector: 'top-level-card',\n    templateUrl: './top-level-card.component.html',\n    styleUrls: ['./top-level-card.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    animations: [fadeInOutHeight]\n})\nexport class TopLevelCardComponent implements OnChanges {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n\n    @Input() params: Card;\n    @Input() results: CardResult;\n    @Input() readOnly: boolean;\n    @Input() extendedActions = true;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    // Emit the element having the cdkDragHandle directive\n    // so that it can be used by parent component\n    @Output() remoteDragHandle = new EventEmitter<HTMLElement | undefined>(true);\n\n    @ViewChild(CdkDragHandle)\n    set emitRemoteDragHandle(v: CdkDragHandle | undefined) {\n        this.remoteDragHandle.emit(v && v.element.nativeElement);\n    }\n\n    variables$: Observable<Variable[]>;\n    helpIsAvailable$: Observable<boolean>;\n    cardCollapseState$: Observable<{ collapsed: boolean }>;\n    helpCollapseState$: Observable<{ collapsed: boolean }>;\n    params$ = new ReplaySubject<Card>(1);\n\n    showCollapsingControls: boolean;\n    subtitle = '';\n\n    scrollIntoViewOnResult: boolean;\n\n    constructor(\n        sampleContextService: SampleContextService,\n        private dialog: MatDialog,\n        private collapsingService: CollapsingService,\n        @Inject(DOCUMENT) private document: Document,\n        private changeDetectorRef: ChangeDetectorRef\n    ) {\n        this.variables$ = sampleContextService.availableVariables();\n        this.cardCollapseState$ = this.params$.pipe(\n            map(params => new CollapsibleTopLevelCard(params.id)),\n            switchMap(collapsible => collapsingService.watchIsCollapsed(collapsible)),\n            map(collapsed => ({ collapsed }))\n        );\n        this.helpCollapseState$ = this.params$.pipe(\n            map(params => new CollapsibleHelp(params.id)),\n            switchMap(collapsible => collapsingService.watchIsCollapsed(collapsible)),\n            map(collapsed => ({ collapsed }))\n        );\n        this.helpIsAvailable$ = this.params$.pipe(\n            map(params => CardHelpComponent.isAvailableForCard(params))\n        );\n        this.showCollapsingControls = this.collapsingService instanceof UpdatableCollapsingService;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.params$.next(this.params);\n            this.subtitle = getCardSubtitle(this.params);\n        }\n        if (changes.results) {\n            if (this.scrollIntoViewOnResult) {\n                const elem = this.document.getElementById(this.params.id);\n                if (elem) {\n                    // differ to let the updates be performed before scrolling\n                    setTimeout(() => {\n                        elem.scrollIntoView();\n                        this.changeDetectorRef.markForCheck();\n                        if (!CardResult.isUnavailableCardResult(this.results) || this.results.reason != \"NOT_COMPUTED\") {\n                            this.scrollIntoViewOnResult = false;\n                        }\n                    }, 1);\n                }\n            }\n        }\n    }\n\n    deleteCard() {\n        const dialogRef = this.dialog.open(DeleteDialogComponent, {\n            data: {\n                title: getBasicCardTitle(this.params),\n                type: this.params.type\n            },\n            restoreFocus: false,\n            panelClass: ['modal', 'modal3', 'dku-modal-panel-narrow']\n        });\n\n        dialogRef.afterClosed().subscribe((deleteCard: boolean) => {\n            if (deleteCard) {\n                this.action.emit({ type: CardActionType.DELETE });\n            }\n        });\n    }\n\n    get canUpdateSplitBySettings(): boolean {\n        if (isTimeSeriesCard(this.params) || isPlaygroundCard(this.params)) {\n            // It does not make sense to split time series cards according to\n            // another dimension (at least for now).\n            return false;\n        }\n\n        return acceptsColoring(this.params) || this.params.filter == null;\n    }\n\n    get allowGroupWithAll(): boolean {\n        // Grouping with all values does not make sense for cards with \"color by\"\n        // as all the data is already present.\n        return !acceptsColoring(this.params);\n    }\n\n    get splitBySettings(): SplitBySpec | null | undefined {\n        return acceptsColoring(this.params) ?\n            this.params.colorBy :\n            this.params.splitBy;\n    }\n\n    get acceptsColoring(): boolean {\n        return acceptsColoring(this.params);\n    }\n\n    updateSplitBySettings(newSplitBy: SplitBySpec | null) {\n        // At the moment, a card can only support either \"split by\" or \"color by\", not both.\n        const field = acceptsColoring(this.params) ? \"colorBy\" : \"splitBy\";\n\n        this.action.emit({\n            type: CardActionType.UPDATE,\n            newParams: {\n                ...this.params,\n                [field]: newSplitBy,\n            },\n        });\n    }\n\n    toggleCard(newIsCollapsed: boolean) {\n        const collapsible = new CollapsibleTopLevelCard(this.params.id);\n        this.collapsingService.setIsCollapsed(collapsible, newIsCollapsed);\n    }\n\n    toggleHelp(newIsCollapsed: boolean) {\n        const collapsible = new CollapsibleHelp(this.params.id);\n        this.collapsingService.setIsCollapsed(collapsible, newIsCollapsed);\n    }\n\n    handleAction(action: CardAction) {\n        if (action.type === CardActionType.DEBUG || action.type === CardActionType.ADD) {\n            let card = action.card;\n            if (this.params.filter) {\n                card = { ...card, filter: this.params.filter };\n            }\n            this.action.emit({ ...action, card });\n        } else if (action.type === CardActionType.HIGHLIGHT) {\n            let newFilter = action.filter;\n            if (this.params.filter && action.filter) {\n                // Merge highlight filter + card's filter\n                newFilter = noFilterIfAll({\n                    type: 'and',\n                    filters: [this.params.filter, action.filter]\n                });\n            }\n            this.action.emit({ ...action, filter: newFilter });\n        } else {\n            this.action.emit(action);\n        }\n    }\n}\n","<div cdkDropList [cdkDropListDisabled]=\"readOnly\" (cdkDropListDropped)=\"drop($event)\"\n    class=\"ws-cards-drag-boundary\">\n    <div *ngFor=\"let card of params.cards; let cardIndex = index; trackBy: trackByCardId\"\n        cdkDrag cdkDragBoundary=\".ws-cards-drag-boundary\">\n        <ng-container *ngIf=\"isCardCollapsible(card.id) | async as collapsed\">\n            <top-level-card\n                (remoteDragHandle)=\"discoverRemoteDragHandle(cardIndex, $event)\"\n                [params]=\"card\"\n                [results]=\"results.results[cardIndex]\"\n                [readOnly]=\"readOnly\"\n                [extendedActions]=\"true\"\n                [hasFixedHeight]=\"true\"\n                (action)=\"handleTopLevelCardAction(cardIndex, $event)\"\n            >\n            </top-level-card>\n            <ng-container *ngIf=\"!collapsed.v; else collapsedtoplevel\">\n                <div class=\"card card__inner card__header drag-drop-placeholder\" *cdkDragPlaceholder></div>\n            </ng-container>\n            <ng-template #collapsedtoplevel>\n                <div class=\"card card__inner card__header drag-drop-placeholder drag-drop-placeholder--collapsed\" *cdkDragPlaceholder></div>\n            </ng-template>\n        </ng-container>\n    </div>\n</div>","import { Component, Input, EventEmitter, Output, ChangeDetectionStrategy, OnDestroy, ViewChildren, QueryList } from '@angular/core';\nimport { WorksheetRootCard, Card } from 'src/generated-sources';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { Observable } from 'rxjs';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { produce } from 'immer';\nimport { WorksheetContextService } from '@features/eda/worksheet-state/worksheet.context.service';\nimport { resetCardIds } from '@features/eda/card-utils';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\nimport { CdkDragDrop, CdkDrag, moveItemInArray } from '@angular/cdk/drag-drop';\nimport { CollapsingService, CollapsibleTopLevelCard } from '@features/eda/collapsing.service';\nimport { map } from 'rxjs/operators';\n\n@UntilDestroy()\n@Component({\n    selector: 'worksheet-root-card',\n    templateUrl: './worksheet-root-card.component.html',\n    styleUrls: ['./worksheet-root-card.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class WorksheetRootCardComponent implements OnDestroy {\n    @Input() params: WorksheetRootCard;\n    @Input() results: WorksheetRootCard.WorksheetRootCardResult;\n    @Input() readOnly = false;\n    @Output() action = new EventEmitter<CardAction>();\n    @ViewChildren(CdkDrag, {}) cdkDragRefs: QueryList<CdkDrag>;\n\n    constructor(\n        private worksheetContextService: WorksheetContextService,\n        private wt1Service: WT1Service,\n        private collapsingService: CollapsingService\n    ) { }\n\n    discoverRemoteDragHandle(index: number, element: HTMLElement | undefined) {\n        const drag = this.cdkDragRefs.toArray()[index];\n        const dragRef = drag && drag._dragRef;\n        dragRef.withHandles(element ? [element] : []);\n    }\n\n    trackByCardId(index: number, card: Card) {\n        return card.id;\n    }\n\n    handleTopLevelCardAction(index: number, action: CardAction) {\n        if (action.type === CardActionType.UPDATE) {\n            this.action.emit({\n                type: CardActionType.UPDATE,\n                newParams: produce(this.params, draft => {\n                    draft.cards[index] = action.newParams;\n                })\n            });\n\n        } else if (action.type === CardActionType.DELETE) {\n            this.action.emit({\n                type: CardActionType.UPDATE,\n                newParams: produce(this.params, draft => {\n                    draft.cards.splice(index, 1);\n                })\n            });\n\n        } else if (action.type === CardActionType.ADD) {\n            this.action.emit({\n                type: CardActionType.ADD,\n                card: resetCardIds(action.card)\n            });\n        } else if (action.type === CardActionType.PUBLISH) {\n            this.action.emit(action);\n        } else if (action.type === CardActionType.DEBUG) {\n            this.worksheetContextService.debugCard(action.card);\n        } else if (action.type === CardActionType.HIGHLIGHT) {\n            this.wt1Service.event('statistics-worksheet-highlight-toggle', {\n                highlightEnabled: !!action.filter,\n                highlightType: action.filter && action.filter.type\n            });\n\n            this.action.emit({\n                type: CardActionType.UPDATE,\n                newParams: { ...this.params, highlightFilter: action.filter }\n            });\n        } else if (action.type === CardActionType.REORDER_HEADER_CARD) {\n            this.action.emit(action);\n        }\n    }\n    ngOnDestroy() { }\n\n    drop(event: CdkDragDrop<string[]>) {\n        const newCard = produce(this.params, draft => {\n            moveItemInArray(draft.cards, event.previousIndex, event.currentIndex);\n        });\n        this.action.emit({\n            type: CardActionType.UPDATE,\n            newParams: newCard,\n            immediate: true\n        });\n        this.wt1Service.event('statistics-drag-drop-reorder-cards', {});\n    }\n\n    isCardCollapsible(id: string): Observable<any> {\n        return this.collapsingService.watchIsCollapsed(new CollapsibleTopLevelCard(id))\n        .pipe(\n            untilDestroyed(this),\n            map(v => ({ v }))\n        );\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { ProjectsService as ProjectsServiceDTO } from 'src/generated-sources';\nimport { switchMap, shareReplay } from 'rxjs/operators';\nimport { of } from 'rxjs';\n\nexport interface ProjectSummary {\n    object: ProjectsServiceDTO.UIProject;\n    objectsCounts: any | undefined;\n    timeline: any | undefined;\n    interest: any;\n}\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class ProjectsService {\n    public currentProjectSummary$ = this.currentRoute.projectKey$.pipe(\n        switchMap(projectKey => projectKey ?\n            this.DataikuAPI.projects.getSummary(projectKey)\n            : of(undefined)\n        ),\n        shareReplay(1)\n    );\n\n    constructor(\n        private currentRoute: CurrentRouteService,\n        private DataikuAPI: DataikuAPIService\n    ) { }\n}\n","import { Pipe, PipeTransform, ChangeDetectorRef } from '@angular/core';\nimport { Observable, Subscription, ReplaySubject } from 'rxjs';\nimport { AsyncPipe } from '@angular/common';\nimport { distinctUntilChanged, switchMap, map } from 'rxjs/operators';\nimport { ProjectsService } from '@shared/services/projects.service';\n\n\n/**\n * Evaluate the string piped to the pipe as a canXXX in UIProject\n *\n * If the string does not match any of them, false is returned. Else, the \n * value of the attribute is returned.\n */\n\n@Pipe({\n    name: 'dkuEvaluatePermissions',\n    pure: false // see https://angular.io/guide/pipes#the-impure-asyncpipe\n})\nexport class DkuEvaluatePermissionsPipe extends AsyncPipe implements PipeTransform {\n    evaluationResult = false;\n    subscription: Subscription;\n    private valueSubject = new ReplaySubject<string>(1);\n    private value$: Observable<boolean>;\n\n    constructor(cdr: ChangeDetectorRef, private projectsService: ProjectsService) {\n        super(cdr);\n        this.value$ = this.valueSubject.asObservable().pipe(\n            distinctUntilChanged(),\n            switchMap((permission: string) => this.projectsService.currentProjectSummary$\n                .pipe(\n                    map((currentProjectSummary) => {\n                        try {\n                            let evaluatedExpr = false;\n                            if (currentProjectSummary && permission in currentProjectSummary.object) {\n                                evaluatedExpr = (currentProjectSummary.object as any)[permission] as boolean;\n                            }\n                            return evaluatedExpr;\n                        } catch (e) {\n                            throw new Error(`Error while evaluating permission '${permission}': ${e}`);\n                        }\n                    })\n                ))\n        );\n    }\n    // takes no args, so second parameter omitted\n    transform(permissionValue: any): any {\n        this.valueSubject.next(permissionValue);\n        return super.transform(this.value$);\n    }\n}\n","<ng-container *ngIf=\"worksheet$ | async as worksheet\">\n    <div class=\"worksheet-header\">\n        <h4\n            class=\"worksheet-header__text\"\n            [matMenuTriggerFor]=\"worksheetMenu\"\n            [qa]=\"'worksheet-menu'\"\n            [wt1Click]=\"'worksheet-click'\"\n        >\n            {{ worksheet.name }}\n            <b class=\"caret\"></b>\n        </h4>\n\n        <mat-menu #worksheetMenu>\n            <ng-template [ngIf]=\"!readOnly\">\n                <button\n                    mat-menu-item\n                    (click)=\"createWorksheet()\"\n                    [wt1Click]=\"'worksheets_new-worksheet'\"\n                    [qa]=\"{'worksheet-menu-item': {action: 'new'}}\"\n                >\n                    <i class=\"icon-file-alt icon-fixed-width-small\"></i> New Worksheet\n                </button>\n                <button\n                    mat-menu-item\n                    (click)=\"renameWorksheet()\"\n                    [wt1Click]=\"'worksheets_rename-worksheet'\"\n                    [qa]=\"{'worksheet-menu-item': {action: 'rename'}}\"\n                >\n                    <i class=\"icon-pencil icon-fixed-width-small\"></i> Rename\n                </button>\n                <button\n                    mat-menu-item\n                    (click)=\"duplicateWorksheet()\"\n                    [wt1Click]=\"'worksheets_duplicate-worksheet'\"\n                    [qa]=\"{'worksheet-menu-item': {action: 'duplicate'}}\"\n                >\n                    <i class=\"icon-copy icon-fixed-width-small\"></i> Duplicate\n                </button>\n                <button\n                    mat-menu-item\n                    (click)=\"deleteWorksheet()\"\n                    [wt1Click]=\"'worksheets_delete-worksheet'\"\n                    [qa]=\"{'worksheet-menu-item': {action: 'delete'}}\"\n                >\n                    <i class=\"icon-trash icon-fixed-width-small\"></i> Delete\n                </button>\n                <mat-divider></mat-divider>\n            </ng-template>\n            <button\n                mat-menu-item\n                *ngFor=\"let listedWorksheet of worksheets$ | async\"\n                (click)=\"changeWorksheet(listedWorksheet.id)\"\n                [qa]=\"{'worksheet-menu-item': {\n                    action: 'select-worksheet',\n                    id: listedWorksheet.id,\n                    name: listedWorksheet.name\n                }}\"\n            >\n                <i\n                    class=\"icon-ok\"\n                    *ngIf=\"worksheet.id === listedWorksheet.id\"\n                ></i>\n                {{ listedWorksheet.name }}\n            </button>\n        </mat-menu>\n\n        <sample-settings\n            *ngIf=\"dataSpec$ | async as dataSpec\"\n            [dataSpec]=\"dataSpec\"\n            [projectKey]=\"worksheet.projectKey\"\n            [readOnly]=\"readOnly\"\n            (dataSpecChange)=\"updateDataSpec($event)\"\n        >\n        </sample-settings>\n\n        <edit-confidence-level-settings\n            *ngIf=\"rootCardParams$ | async as rootCardParams\"\n            [params]=\"rootCardParams\"\n            (action)=\"handleRootCardAction($event)\"\n            [canSave]=\"!readOnly\"\n        >\n        </edit-confidence-level-settings>\n\n        <highlight-settings\n            [params]=\"rootCardParams\"\n            (action)=\"handleRootCardAction($event)\"\n            [readOnly]=\"readOnly\"\n            *ngIf=\"rootCardParams$ | async as rootCardParams\">\n        </highlight-settings>\n\n        <container-settings\n            *ngIf=\"dataSpec$ | async as dataSpec\"\n            [dataSpec]=\"dataSpec\"\n            [readOnly]=\"readOnly\"\n            (dataSpecChange)=\"updateDataSpec($event)\">\n        </container-settings>\n\n        <div class=\"worksheet-header__buttons pull-right\" *ngIf=\"'canWriteProjectContent' | dkuEvaluatePermissions\">\n            <button\n                class=\"btn btn--primary\"\n                (click)=\"openAnalysisModal()\"\n                [wt1Click]=\"'worksheets_new-card'\"\n                [qa]=\"'eda-create-card-button'\"\n            >\n                + New Card\n                <ng-container #modal></ng-container>\n            </button>\n        </div>\n    </div>\n\n    <drag-scroll [dragEnabled]=\"true\" [height]=\"'calc(100% + -40px)'\">\n        <div class=\"worksheet\">\n            <div class=\"worksheet__content\">\n                <dataset-error-cta\n                    [apiError]=\"error$ | async\"\n                    [datasetFullInfo]=\"datasetFullInfo$ | async\"\n                ></dataset-error-cta>\n                <ng-container *ngIf=\"rootCardParams$ | async as rootCardParams\">\n                    <worksheet-root-card\n                        [params]=\"rootCardParams$ | async\"\n                        [results]=\"rootCardResults$ | async\"\n                        [readOnly]=\"!('canWriteProjectContent' | dkuEvaluatePermissions)\"\n                        (action)=\"handleRootCardAction($event)\"\n                        *ngIf=\"rootCardParams.cards.length > 0 else noCards\"\n                    >\n                    </worksheet-root-card>\n                    <ng-template #noCards>\n                        <div class=\"empty-list-cta\">\n                            <h1>Empty worksheet</h1>\n                            <a (click)=\"openAnalysisModal()\" class=\"btn btn--primary btn--large btn--dataset\"\n                                [wt1Click]=\"'worksheets_first-card'\" *ngIf=\"'canWriteProjectContent' | dkuEvaluatePermissions\">\n                                <span class=\"plus-icon\">+</span> Add a new card\n                            </a>\n                        </div>\n                    </ng-template>\n                </ng-container>\n            </div>\n        </div>\n    </drag-scroll>\n</ng-container>\n","import { Component, OnInit, Input, OnDestroy, ChangeDetectionStrategy, ViewContainerRef, SimpleChanges, OnChanges } from '@angular/core';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { Observable } from 'rxjs';\nimport { Worksheet, WorksheetRootCard, DataSpec, Card, AnyLoc, WorksheetsService, isWorksheetRootCard } from 'src/generated-sources';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { map, filter, distinctUntilChanged, take } from 'rxjs/operators';\nimport { NewCardModalComponent } from './card-wizard/new-card-modal/new-card-modal.component';\nimport { EdaService } from '../eda.service';\nimport { CollapsingService, LocalStorageCollapsingService } from '../collapsing.service';\nimport { DeleteDialogComponent } from './delete-dialog/delete-dialog.component';\nimport { MatDialog } from '@angular/material/dialog';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { getFullCardTitle } from '../card-utils';\nimport { DuplicateWorksheetDialogComponent } from './duplicate-worksheet-dialog/duplicate-worksheet-dialog.component';\nimport { RenameWorksheetDialogComponent } from './rename-worksheet-dialog/rename-worksheet-dialog.component';\nimport { SampleContextService } from '../sample-context.service';\nimport { WorksheetContextService } from '../worksheet-state/worksheet.context.service';\nimport { clearHighlightFilter } from '../utils';\n\n@UntilDestroy()\n@Component({\n    selector: 'worksheet',\n    templateUrl: './worksheet.component.html',\n    styleUrls: [\n        '../shared-styles/header-button.less',\n        './worksheet.component.less'\n    ],\n    providers: [WorksheetContextService,\n        {\n            provide: SampleContextService,\n            useExisting: WorksheetContextService\n        },\n        {\n            provide: CollapsingService,\n            useClass: LocalStorageCollapsingService,\n        }],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class WorksheetComponent implements OnChanges, OnInit, OnDestroy {\n    @Input() worksheetLoc: AnyLoc;\n    @Input() readOnly = true;\n\n    // EDA-wide\n    worksheets$: Observable<WorksheetsService.WorksheetHead[]>;\n    datasetFullInfo$ = this.edaService.getDatasetFullInfo();\n    error$ = this.edaService.getError();\n\n    // Worksheet-wide\n    worksheet$: Observable<Worksheet | undefined>;\n    dataSpec$: Observable<DataSpec | undefined>;\n    rootCardParams$: Observable<WorksheetRootCard | undefined>;\n    rootCardResults$: Observable<WorksheetRootCard.WorksheetRootCardResult | undefined>;\n\n    constructor(\n        private modalsService: ModalsService,\n        private edaService: EdaService,\n        private worksheetContextService: WorksheetContextService,\n        private sampleContextService: SampleContextService,\n        private dialog: MatDialog,\n        public viewContainerRef: ViewContainerRef\n    ) {\n        this.worksheets$ = this.edaService.listWorksheets().pipe(map(worksheets => worksheets || []));\n        this.dataSpec$ = worksheetContextService.getDataSpec();\n        this.rootCardParams$ = worksheetContextService.getRootCard();\n        this.rootCardResults$ = worksheetContextService.getRootCardResults();\n        this.worksheet$ = worksheetContextService.getWorksheet();\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.worksheetLoc) {\n            this.worksheetContextService.loadWorksheet(\n                this.worksheetLoc.projectKey,\n                this.worksheetLoc.id\n            );\n        }\n    }\n\n    ngOnInit() {\n        this.worksheetContextService.getWorksheet().pipe(\n            map(worksheet => !!worksheet && worksheet.rootCard!.cards.length === 0),\n            filter(hasNoCard => hasNoCard),\n            distinctUntilChanged(),\n            untilDestroyed(this)\n        ).subscribe(() => this.openAnalysisModal());\n        this.worksheetContextService.getError().subscribe(\n            e => this.edaService.pushError(e)\n        );\n    }\n\n    handleRootCardAction(action: CardAction) {\n        if (this.readOnly) {\n            return;\n        }\n\n        if (action.type === CardActionType.UPDATE && isWorksheetRootCard(action.newParams)) {\n            this.worksheetContextService.editRootCard(action.newParams);\n        } else if (action.type === CardActionType.UPDATE && isWorksheetRootCard(action.newParams)) {\n            this.worksheetContextService.editRootCard(action.newParams, action.immediate);\n        } else if (CardActionType.REORDER_HEADER_CARD === action.type && !this.readOnly) {\n            this.worksheetContextService.swapHeaderCardColumns(action.cardId, action.previousIndex, action.currentIndex);\n        } else if (CardActionType.PUBLISH === action.type) {\n            this.worksheetContextService.createInsight(\n                clearHighlightFilter(action.card),\n                getFullCardTitle(action.card)\n            );\n        } else if (CardActionType.ADD === action.type && !this.readOnly) {\n            this.addCard(action.card);\n        }\n    }\n\n    resetError() {\n        this.worksheetContextService.pushError();\n    }\n\n    updateDataSpec(newDataSpec: DataSpec) {\n        this.worksheetContextService.editDataSpec(newDataSpec);\n    }\n\n    addCard(card: Card): void {\n        this.worksheetContextService.addTopLevelCard(card);\n    }\n\n    openAnalysisModal() {\n        this.modalsService.open(NewCardModalComponent,\n            { mode: 'NEW' }, ModalShape.NONE, this.viewContainerRef\n        ).then(({ card }) => {\n            this.addCard(card);\n        }, () => { });\n    }\n\n    createWorksheet() {\n        this.edaService.newWorksheet();\n    }\n\n    renameWorksheet() {\n        this.worksheet$.pipe(take(1)).subscribe(worksheet => {\n            if (worksheet) {\n                this.modalsService.open(RenameWorksheetDialogComponent,\n                    { name: worksheet.name }, ModalShape.NARROW, this.viewContainerRef\n                ).then((newName: string) => {\n                    this.worksheetContextService.editWorksheetName(newName);\n                }, () => { });\n            }\n        });\n    }\n\n    duplicateWorksheet() {\n        this.modalsService.open(DuplicateWorksheetDialogComponent,\n            {}, ModalShape.NARROW, this.viewContainerRef\n        ).then(({ projectKey, datasetName }) => {\n            this.worksheet$.pipe(take(1)).subscribe(worksheet => {\n                if (worksheet) {\n                    this.edaService.duplicateWorksheet(projectKey, datasetName, worksheet.rootCard!, worksheet.name || '');\n                }\n            });\n        }, () => { });\n    }\n\n    deleteWorksheet() {\n        this.worksheet$.pipe(take(1)).subscribe(worksheet => {\n            if (worksheet) {\n                const dialogRef = this.dialog.open(DeleteDialogComponent, {\n                    data: { title: worksheet.name },\n                    restoreFocus: false,\n                    panelClass: ['modal', 'modal3', 'dku-modal-panel-narrow']\n                });\n\n                dialogRef.afterClosed().subscribe(() => {\n                    if (worksheet) {\n                        this.edaService.deleteWorksheet(worksheet);\n                    }\n                });\n            }\n        });\n    }\n\n    changeWorksheet(id: string) {\n        this.edaService.changeWorksheetId(id);\n    }\n\n    ngOnDestroy() {\n    }\n}\n","import { Component, ChangeDetectionStrategy, Inject, Input } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\n\n@Component({\n  selector: 'doclink-wrapper',\n  templateUrl: './doclink-wrapper.component.html',\n  styleUrls: ['./doclink-wrapper.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DoclinkWrapperComponent {\n    @Input() page: string;\n\n    get url() {\n        return this.$rootScope.versionDocRoot + this.page + '.html';\n    }\n\n    constructor(\n        @Inject('$rootScope') private $rootScope: fairAny,\n    ) { }\n}\n","<a [href]=\"url\" target=\"_blank\">\n    <ng-content></ng-content>\n</a>","<api-error-alert\n    [apiError]=\"error$ | async\"\n    (resetError)=\"resetError()\"\n    [closable]=\"true\"\n></api-error-alert>\n\n<worksheet\n    *ngIf=\"worksheetId && projectKey\"\n    [worksheetLoc]=\"{projectKey: projectKey, id: worksheetId}\"\n    [readOnly]=\"!('canWriteProjectContent' | dkuEvaluatePermissions)\">\n</worksheet>\n\n<ng-container *ngIf=\"worksheetsIfAvailable$ | async as worksheets\">\n    <div *ngIf=\"worksheets && worksheets.length == 0\" class=\"worksheet-intro empty-list-cta\">\n        <h1>No worksheets for this dataset</h1>\n        <p>\n            Worksheets allow you to generate in-depth statistical reports of your data\n        </p>\n        <p class=\"small\">\n            <doclink-wrapper [page]=\"'statistics/index'\">Read the documentation</doclink-wrapper> to learn more\n        </p>\n        <a (click)=\"newWorksheet()\" class=\"btn btn--primary btn--large btn--dataset\"\n            *ngIf=\"('canWriteProjectContent' | dkuEvaluatePermissions)\">\n            <span class=\"plus-icon\">+</span> Create your first worksheet\n        </a>\n        <p class=\"small\" *ngIf=\"!('canWriteProjectContent' | dkuEvaluatePermissions)\">No worksheet is currently available for this dataset</p>\n        <img class=\"worksheet-intro__image\" src=\"/static/dataiku/images/eda/intro.png\">\n    </div>\n</ng-container>","import { Component, ChangeDetectionStrategy, Input, OnChanges } from '@angular/core';\nimport { EdaService } from './eda.service';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\n\n@Component({\n    selector: 'stats',\n    templateUrl: './eda.component.html',\n    styleUrls: ['./eda.component.less'],\n    providers: [EdaService],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class EdaComponent implements OnChanges {\n    worksheetsIfAvailable$ = this.edaService.listWorksheets();\n    error$ = this.edaService.getError();\n\n    @Input() datasetName: string;\n    @Input() projectKey: string;\n    @Input() worksheetId: string | undefined;\n\n    constructor(\n        private edaService: EdaService,\n        public apiService: DataikuAPIService\n    ) { }\n\n    ngOnChanges() {\n        this.edaService.setWorksheetLoc(this.projectKey, this.datasetName, this.worksheetId);\n    }\n\n    newWorksheet() {\n        this.edaService.newWorksheet();\n    }\n\n    resetError() {\n        this.edaService.pushError();\n    }\n}\n","import { SampleContextService } from '../sample-context.service';\nimport { BehaviorSubject, Subject, Observable, EMPTY, merge, of, combineLatest, ReplaySubject } from 'rxjs';\nimport { Card, CardResult, DataSpec, Insight, Variable, Sample, TaggableObjectsService } from 'src/generated-sources';\nimport { switchMap, map, shareReplay, filter, distinctUntilChanged, tap, take, startWith } from 'rxjs/operators';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { catchAPIError, ErrorContext, APIError } from '@core/dataiku-api/api-error';\nimport { OnDestroy, Injectable } from '@angular/core';\nimport { getInsightObjectRef } from '../utils';\nimport { ComputeService } from '../compute.service';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { columnsToVariables } from '../schema-utils';\nimport { auditMap, FutureWatcherService } from 'dku-frontend-core';\nimport { WaitingService } from '@core/overlays/waiting.service';\nimport deepEqual from 'fast-deep-equal';\nimport { resolveSmartName } from '@utils/loc';\n\ninterface InsightData {\n    params: Card;\n    results: CardResult;\n    dataSpec: DataSpec;\n    insight: Insight;\n}\n\n@UntilDestroy()\n@Injectable()\nexport class InsightContextService extends SampleContextService implements ErrorContext, OnDestroy {\n    private insight$ = new Subject<Insight>();\n    private updateRequests$ = new Subject<{ params: Card, dataSpec: DataSpec }>();\n    private updateDataSpecRequests$ = new ReplaySubject<{ dataSpec: DataSpec, refreshOnDataSpecChange: boolean }>(1);\n    private error$ = new BehaviorSubject<APIError | undefined>(undefined);\n\n    private insightRef: TaggableObjectsService.TaggableObjectRef;\n\n    private insightData$ = this.insight$.pipe(\n        switchMap(insight => {\n            this.insightRef = getInsightObjectRef(insight);\n            return this.DataikuAPI.dashboards.getInsightWithPayload(insight.projectKey, insight.id!)\n                .pipe(\n                    map(insightWithPayload => ({\n                        insight,\n                        params: insightWithPayload.insight.params.card,\n                        results: JSON.parse(insightWithPayload.payload),\n                        dataSpec: insightWithPayload.insight.params.dataSpec\n                    })),\n                    catchAPIError(this)\n                );\n        }),\n        shareReplay(1)\n    );\n\n    private sample$: Observable<Sample> = this.updateDataSpecRequests$.pipe(\n        distinctUntilChanged((prev, cur) => deepEqual(prev.dataSpec, cur.dataSpec)),\n    ).pipe(\n        // Sample needs to be retrieved or rebuilt\n        switchMap(curRequest => {\n            return this.DataikuAPI.statistics.currentSample(this.insightRef!, curRequest.dataSpec!)\n                .pipe(\n                    switchMap(currentSampleResponse => {\n                        // Sample was already built\n                        if (currentSampleResponse) {\n                            return of(currentSampleResponse);\n                        }\n\n                        // Otherwise build a new sample\n                        return this.DataikuAPI.statistics.rebuildSample(this.insightRef!, curRequest.dataSpec!)\n                            .pipe(\n                                this.waitingService.bindOverlayAndWaitForResult<Sample>(),\n                            );\n                    }),\n                    this.waitingService.bindStaticOverlay('Preparing sample...'),\n                    tap(() => {\n                        if (curRequest.refreshOnDataSpecChange) {\n                            this.insightData$.pipe(take(1)).subscribe(\n                                insightData => this.updateInsight({\n                                    params: insightData.params,\n                                    dataSpec: curRequest.dataSpec\n                                })\n                            );\n                        }\n                    }\n                    )\n                );\n        }),\n        catchAPIError(this),\n        untilDestroyed(this),\n        shareReplay(1)\n    );\n\n    private availableVariables$ = combineLatest([this.insightData$.pipe(\n        filter(insightData => !!insightData),\n        switchMap(insightData => {\n            if (!insightData) {\n                return EMPTY;\n            }\n            const datasetLoc = resolveSmartName(\n                insightData.insight.projectKey,\n                insightData.dataSpec.inputDatasetSmartName\n            );\n            return this.DataikuAPI.datasets.get(\n                datasetLoc.projectKey,\n                datasetLoc.id,\n                insightData.insight.projectKey\n            ).pipe(catchAPIError(this));\n        })), this.sample$.pipe(startWith(undefined))]).pipe(\n        map(([dataset, sample]) => {\n            const schemaSource = (sample === undefined) ? dataset : sample;\n            if (!schemaSource) {\n                return [];\n            }\n            return columnsToVariables(schemaSource.schema!.columns || []);\n        }),\n        startWith([]),\n        shareReplay(1)\n    );\n\n    private noComputationUpdated$ = new Subject<{ card: Card, result: CardResult, dataSpec: DataSpec }>();\n    private updated$ = merge(combineLatest([this.updateRequests$, this.sample$, this.updateDataSpecRequests$]).pipe(\n        filter(([updateReq, sample, updateDataSpecRequest]) => deepEqual(updateReq.dataSpec, sample.dataSpec) && deepEqual(updateDataSpecRequest.dataSpec, sample.dataSpec)),\n        auditMap(([changes, sample]) => {\n                return this.DataikuAPI.statistics.fixCard(changes.params!)\n                    .pipe(\n                        switchMap(fixedCard =>\n                            this.computeService.computeCard(fixedCard, sample.id, false\n                            ).pipe(\n                                map(result => ({ card: fixedCard, result, dataSpec: changes.dataSpec }))\n                            )\n                        ),\n                        catchAPIError(this)\n                    );\n        })), this.noComputationUpdated$.asObservable())\n        .pipe(\n            shareReplay(1)\n        );\n\n    constructor(\n        DataikuAPI: DataikuAPIService,\n        futureWatcherService: FutureWatcherService,\n        private computeService: ComputeService,\n        private waitingService: WaitingService,\n    ) {\n        super(DataikuAPI, futureWatcherService);\n\n        // Tie observables lifetime to service lifetime\n        // Note: do not start availableVariables$ by default because it may be unnecessary (in view only mode)\n        merge(this.updated$, this.insightData$)\n            .pipe(untilDestroyed(this)).subscribe();\n    }\n\n    getError() {\n        return this.error$;\n    }\n\n    getUpdatedInsight() {\n        return this.updated$;\n    }\n\n    pushError(error?: APIError) {\n        this.error$.next(error);\n    }\n\n    forceLoadSample() {\n        this.insightData$.pipe(\n            take(1)\n        ).subscribe(insightData => {\n                this.updateDataSpec({ dataSpec: insightData.dataSpec, refreshOnDataSpecChange: false })\n            });\n    }\n\n    setInsight(insight: Insight) {\n        this.insight$.next(insight);\n    }\n\n    getInsightData(): Observable<InsightData | undefined> {\n        return this.insightData$;\n    }\n\n    getSample(): Observable<Sample> {\n        return this.sample$;\n    }\n\n    getDataSpecRequest(): Observable<DataSpec> {\n        return this.updateDataSpecRequests$.pipe(\n            map((d) => d.dataSpec)\n        );\n    }\n\n    availableVariables(): Observable<Variable[]> {\n        return this.availableVariables$;\n    }\n\n    updateDataSpec(changes: { dataSpec: DataSpec, refreshOnDataSpecChange: boolean }) {\n        this.updateDataSpecRequests$.next(changes);\n    }\n\n    updateInsight(changes: { params: Card, dataSpec: DataSpec }) {\n        this.updateRequests$.next(changes);\n    }\n\n    updateInsightParamsResults(changes: { card: Card, result: CardResult, dataSpec: DataSpec }) {\n        this.noComputationUpdated$.next(changes);\n    }\n\n    ngOnDestroy() {\n    }\n}\n","<ng-container *ngIf=\"!readOnly else readOnlyTemplate\">\n    <div class=\"global-header\">\n        <sample-settings\n            *ngIf=\"dataSpec\"\n            [projectKey]=\"insight.projectKey\"\n            [dataSpec]=\"dataSpec\"\n            [readOnly]=\"false\"\n            (dataSpecChange)=\"updateDataSpec($event)\"\n        >\n        </sample-settings>\n        <edit-confidence-level-settings\n            *ngIf=\"params && hasConfidenceLevel\"\n            [params]=\"params\"\n            (action)=\"handleCardAction($event)\"\n            [canSave]=\"!readOnly\"\n        >\n        </edit-confidence-level-settings>\n        <container-settings\n            *ngIf=\"dataSpec\"\n            [dataSpec]=\"dataSpec\"\n            [readOnly]=\"false\"\n            (dataSpecChange)=\"updateDataSpec($event)\"\n        ></container-settings>\n    </div>\n\n    <api-error-alert\n        *ngIf=\"error$ | async as error\"\n        [apiError]=\"error\"\n        [closable]=\"true\"\n        (resetError)=\"resetError()\"\n    >\n    </api-error-alert>\n\n    <top-level-card\n        *ngIf=\"params && results\"\n        [params]=\"params\"\n        [results]=\"results\"\n        [readOnly]=\"false\"\n        [extendedActions]=\"false\"\n        [hasFixedHeight]=\"true\"\n        (action)=\"handleCardAction($event)\"\n    >\n    </top-level-card>\n</ng-container>\n\n<ng-template #readOnlyTemplate>\n    <api-error-alert\n        *ngIf=\"error$ | async as error else noErrorTemplate\"\n        [apiError]=\"error\"\n        [closable]=\"false\"\n    >\n    </api-error-alert>\n\n    <ng-template #noErrorTemplate>\n        <card-body\n            class=\"standalone-card-body\"\n            *ngIf=\"params && results\"\n            [params]=\"params\"\n            [results]=\"results\"\n            [renderingMode]=\"CardBodyRenderingMode.TOP_LEVEL_CARD\"\n            [readOnly]=\"true\"\n            [extendedActions]=\"false\"\n            [hasFixedHeight]=\"false\"\n        >\n        </card-body>\n    </ng-template>\n</ng-template>\n","import { Component, Input, Output, OnChanges, SimpleChanges, OnDestroy, ChangeDetectorRef } from '@angular/core';\nimport { Insight, DataSpec, Card, CardResult, AbstractHeaderCard, GroupedCompiledCardWrapper } from 'src/generated-sources';\nimport { CollapsingService, NoopCollapsingService } from '@features/eda/collapsing.service';\nimport { CardAction, CardActionType } from '../events';\nimport { EventEmitter } from '@angular/core';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { InsightContextService } from '@features/eda/insight-state/insight-context.service';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { hasConfidenceLevel } from '@features/eda/utils';\nimport _ from 'lodash';\nimport deepEqual from 'fast-deep-equal';\nimport { Subject, of, concat, interval } from 'rxjs';\nimport { takeUntil, first } from 'rxjs/operators';\nimport produce from 'immer';\nimport { moveItemInArray } from '@angular/cdk/drag-drop';\n\n@UntilDestroy()\n@Component({\n    selector: 'insight-card',\n    templateUrl: './insight-card.component.html',\n    styleUrls: ['./insight-card.component.less'],\n    providers: [\n        InsightContextService,\n        {\n            provide: SampleContextService,\n            useExisting: InsightContextService\n        },\n        {\n            provide: CollapsingService,\n            useClass: NoopCollapsingService\n        }\n    ]\n})\nexport class InsightCardComponent implements OnChanges, OnDestroy {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n\n    @Input() insight: Insight;\n    @Input() readOnly: boolean;\n    @Output() updated = new EventEmitter<any>();\n\n    error$ = this.insightContextService.getError();\n    params?: Card;\n    results?: CardResult;\n    dataSpec?: DataSpec;\n\n    constructor(\n        private insightContextService: InsightContextService,\n        changeDetectorRef: ChangeDetectorRef\n    ) {\n        insightContextService.getInsightData()\n            .pipe(untilDestroyed(this))\n            .subscribe(insightData => {\n                if (insightData) {\n                    this.params = insightData.params;\n                    this.results = insightData.results;\n                    this.dataSpec = this.adjustDataSpec(insightData.dataSpec);\n\n                    changeDetectorRef.markForCheck();\n                }\n            });\n\n        insightContextService.getUpdatedInsight()\n            .pipe(untilDestroyed(this))\n            .subscribe(update => this.updated.emit(update));\n    }\n\n    adjustDataSpec(param: DataSpec): DataSpec {\n        const newParam = _.cloneDeep(param);\n        if (!newParam.datasetSelection.latestPartitionsN) {\n            newParam.datasetSelection.latestPartitionsN = 1;\n        }\n        return newParam;\n    }\n\n    resetError() {\n        this.insightContextService.pushError();\n    }\n\n    get hasConfidenceLevel() {\n        return this.params && hasConfidenceLevel(this.params);\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.insight) {\n            this.insightContextService.setInsight(this.insight);\n        }\n    }\n\n    updateDataSpec(newDataSpec: DataSpec) {\n        this.insightContextService.updateDataSpec({ dataSpec: newDataSpec, refreshOnDataSpecChange: true });\n    }\n\n    handleCardAction(action: CardAction) {\n        if (action.type === CardActionType.UPDATE) {\n            const unsubscribe$ = new Subject<void>();\n            // let's wait for the right sample to be available\n            this.insightContextService.getSample()\n                .pipe(takeUntil(unsubscribe$))\n                .subscribe(\n                    // when sample is available, update insight\n                    sample => {\n                        if (deepEqual(sample.dataSpec, this.dataSpec)) {\n                            this.insightContextService.updateInsight({ params: action.newParams, dataSpec: this.dataSpec! });\n                            unsubscribe$.next();\n                            unsubscribe$.complete();\n                        }\n                    });\n\n            concat(this.insightContextService.getDataSpecRequest().pipe(takeUntil(interval(10))), of(this.dataSpec))\n                .pipe(first())\n                .subscribe(\n                    dataSpec => this.insightContextService.updateDataSpec({ dataSpec: dataSpec!, refreshOnDataSpecChange: false })\n                );\n        } else if (action.type === CardActionType.REORDER_HEADER_CARD) {\n            this.insightContextService.getInsightData()\n                .pipe(untilDestroyed(this), first())\n                .subscribe(insightData => {\n                    if (insightData) {\n                        this.params = insightData.params;\n                        this.results = insightData.results;\n                        this.dataSpec = this.adjustDataSpec(insightData.dataSpec);\n\n                        const newState = produce(insightData, draft => {\n                            const draftCard = draft.params as AbstractHeaderCard;\n                            moveItemInArray(draftCard.cards, action.previousIndex, action.currentIndex);\n                            moveItemInArray(draftCard.xColumns, action.previousIndex, action.currentIndex);\n\n                            const draftResults = draft.results;\n                            if (AbstractHeaderCard.isAbstractHeaderCardResult(draftResults)) {\n                                moveItemInArray(draftResults.results, action.previousIndex, action.currentIndex);\n                            } else if (GroupedCompiledCardWrapper.isGroupedCardResult(draftResults)) {\n                                for (const c of draftResults.results) {\n                                    if (AbstractHeaderCard.isAbstractHeaderCardResult(c)) {\n                                        moveItemInArray(c.results, action.previousIndex, action.currentIndex);\n                                    }\n                                }\n                            }\n                        });\n\n                        // immediatly update what is displayed\n                        this.insightContextService.updateInsightParamsResults({ card: newState.params, result: newState.results, dataSpec: this.dataSpec! })\n                        // update with save\n                        this.insightContextService.updateInsight({ params: newState.params, dataSpec: this.dataSpec! });\n                    }\n                });\n        }\n    }\n\n    ngOnDestroy() {\n    }\n}\n","import { Component, Input, forwardRef } from '@angular/core';\nimport { EditableListBase } from '../editable-list/editable-list.component';\nimport { NG_VALUE_ACCESSOR } from '@angular/forms';\n\n@Component({\n    selector: 'connection-properties-list',\n    templateUrl: './connection-properties-list.component.html',\n    styleUrls: ['./connection-properties-list.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => ConnectionPropertiesListComponent),\n            multi: true\n        }\n    ]\n})\n\n/**\n * List of connection properties.\n * Uses CredentialsListComponent with a dedicated template.\n * \n * @example\n * <connection-properties-list items=\"connection.properties\"></connection-properties-list>\n */\nexport class ConnectionPropertiesListComponent extends EditableListBase {\n    @Input() addLabel: string = 'Add Property';\n    @Input() keyPlaceholder: string = 'Property name';\n    @Input() valuePlaceholder: string = 'Property value';\n    @Input() canBeFinal: boolean = false;\n    @Input() keyRequired: boolean = true;\n    @Input() valueRequired: boolean = true;\n    @Input() required: boolean = true;\n    @Input() keyIdentifier: string = 'name';\n    @Input() valueIdentifier: string = 'value';\n\n    constructor() {\n        super();\n    }\n}\n","<credentials-list \n    [ngModel]=\"items\" \n    (ngModelChange)=\"onChange($event)\" \n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\"\n    [keyPlaceholder]=\"keyPlaceholder\" \n    [valuePlaceholder]=\"valuePlaceholder\"\n    [keyIdentifier]=\"keyIdentifier\" \n    [valueIdentifier]=\"valueIdentifier\" \n    [keyRequired]=\"keyRequired\" \n    [valueRequired]=\"valueRequired\" \n    [required]=\"required\"\n    [canBeFinal]=\"canBeFinal\"\n    (onAdd)=\"onAdd.emit($event)\" \n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\" >\n</credentials-list>\n","import { Component, Input, Output, EventEmitter, Inject } from '@angular/core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'downgraded-connection-properties-list',\n    templateUrl: './downgraded-connection-properties-list.component.html',\n})\n\n/**\n * Bridge between Angular and AngularJS to use connection properties lists in the later.\n * Simply provides proper inputs and outputs, adapts ControlValueAccessor structure and propagates changes.\n * \n * @example\n * // In AngularJS code\n * <ng2-connection-properties-list [(items)]=\"items\"></ng2-connection-properties-list>\n */\nexport class DowngradedConnectionPropertiesListComponent {\n    @Input() items: Array<Object>;\n    @Input() sortable: boolean;\n    @Output() onAdd = new EventEmitter<number>();\n    @Output() onDelete = new EventEmitter<number>();\n    @Output() onChange = new EventEmitter<Array<Object>>();\n    @Output() itemsChange = new EventEmitter<Array<Object>>();\n    @Output() onValidityChange = new EventEmitter<boolean>();\n    @Input() addLabel: string = 'Add Property';\n    @Input() hasDivider: boolean = true;\n    @Input() focusOnEnter: boolean = true;\n    @Input() keyPlaceholder: string = 'Property name';\n    @Input() valuePlaceholder: string = 'Property value';\n    @Input() canBeFinal: boolean = false;\n    @Input() keyRequired: boolean = true;\n    @Input() valueRequired: boolean = true;\n    @Input() required: boolean = true;\n    @Input() keyIdentifier: string = 'name';\n    @Input() valueIdentifier: string = 'value';\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) { \n        this.onValidityChange.subscribe(() => $rootScope.$applyAsync());\n    }\n\n    handleChange(items: Array<Object>) {\n        this.$rootScope.$applyAsync();\n        this.itemsChange.emit(items);\n        this.onChange.emit(items);\n    }\n}\n","<connection-properties-list \n    [ngModel]=\"items\"\n    (ngModelChange)=\"handleChange($event)\" \n    [keyPlaceholder]=\"keyPlaceholder\"\n    [valuePlaceholder]=\"valuePlaceholder\"\n    [keyIdentifier]=\"keyIdentifier\"\n    [valueIdentifier]=\"valueIdentifier\"\n    [keyRequired]=\"keyRequired\"\n    [valueRequired]=\"valueRequired\"\n    [required]=\"required\"\n    [addLabel]=\"addLabel\" \n    [sortable]=\"sortable\" \n    [hasDivider]=\"hasDivider\"\n    [focusOnEnter]=\"focusOnEnter\"\n    [canBeFinal]=\"canBeFinal\"\n    (onAdd)=\"onAdd.emit($event)\" \n    (onDelete)=\"onDelete.emit($event)\"\n    (onValidityChange)=\"onValidityChange.emit($event)\">\n</connection-properties-list>\n","<api-error-alert *ngIf=\"error\" [apiError]=\"error\" [closable]=\"false\"></api-error-alert>","import { Component, OnInit, Inject } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { catchAPIError, ErrorContext, APIError } from '@core/dataiku-api/api-error';\nimport { resolveSmartName } from '@utils/loc';\n\n/**\n * Fake page which redirects to the real worksheet page from (projectKey, worksheetId)\n * Used to implement a ui-router state which works even without knowing dataset name\n */\n@UntilDestroy()\n@Component({\n    selector: 'worksheet-redirection-page',\n    templateUrl: './worksheet-redirection-page.component.html',\n    styleUrls: ['./worksheet-redirection-page.component.less']\n})\nexport class WorksheetRedirectionPageComponent implements OnInit, ErrorContext {\n    error?: APIError;\n\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        @Inject('$state') private $state: any\n    ) { }\n\n    ngOnInit() {\n        this.DataikuAPI.statistics.get(this.$state.params.projectKey, this.$state.params.worksheetId)\n            .pipe(catchAPIError(this), untilDestroyed(this))\n            .subscribe(worksheet => {\n                const datasetSmartName = worksheet.dataSpec.inputDatasetSmartName;\n                const resolvedDatasetName = resolveSmartName(worksheet.projectKey, datasetSmartName);\n\n                if (resolvedDatasetName.projectKey === worksheet.projectKey) {\n                    this.$state.go('projects.project.datasets.dataset.statistics.worksheet', {\n                        projectKey: worksheet.projectKey,\n                        datasetName: resolvedDatasetName.id,\n                        worksheetId: worksheet.id\n                    }, { location: 'replace' });\n                } else {\n                    this.$state.go('projects.project.foreigndatasets.dataset.statistics.worksheet', {\n                        projectKey: worksheet.projectKey,\n                        datasetFullName: datasetSmartName,\n                        worksheetId: worksheet.id\n                    }, { location: 'replace' });\n                }\n            });\n    }\n\n    pushError(error: APIError): void {\n        this.error = error;\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'stripHtml'\n})\n\nexport class StripHtmlPipe implements PipeTransform {\n    transform(value: string | null): any {\n        if (!value) {\n            return \"\";\n        }\n        const doc = new DOMParser().parseFromString(value , 'text/html');\n        return doc.body.innerText || \"\";\n    }\n}\n","<div class=\"editable-list__input-group\">\n    <mat-form-field>\n        <input\n            type=\"text\"\n            matInput\n            [(ngModel)]=\"value\"\n            [matAutocomplete]=\"auto\"\n            class=\"editable-list__input\"\n            placeholder=\"{{placeholder}}\"\n            (focus)=\"handleFocus($event)\"\n            (blur)=\"handleBlur()\"\n            [required]=\"required\"\n            [matTooltip]=\"computedTooltip|async|stripHtml\"\n        >\n        <mat-autocomplete #auto=\"matAutocomplete\" [disableRipple]=\"true\" [displayWith]=\"computeDisplay\" [panelWidth]=\"autocompletePanelWidth\">\n            <mat-option *ngFor=\"let suggestion of filteredSuggestions | async\" [value]=\"computeValue(suggestion)\"\n                (onSelectionChange)=\"onSelectionChange($event)\" (click)=\"onSelectionClick($event)\"\n                [innerHtml]=\"computeDisplay(suggestion)\">\n            </mat-option>\n        </mat-autocomplete>\n\n    </mat-form-field>\n</div>\n","import { ObservableInput } from 'observable-input';\nimport { startWith, map } from 'rxjs/operators';\nimport { Observable, Subject, combineLatest, BehaviorSubject } from 'rxjs';\nimport { Component, Input, Output, HostListener, EventEmitter, ViewChild, OnDestroy, forwardRef, SimpleChanges, OnChanges, OnInit } from '@angular/core';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\nimport { MatAutocompleteTrigger, MatAutocomplete, AUTOCOMPLETE_PANEL_HEIGHT } from '@angular/material/autocomplete';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { _countGroupLabelsBeforeOption, _getOptionScrollPosition, MatOptionSelectionChange } from '@angular/material/core';\n\n\n/**\n * Input with typeahead. Meant for downgrade in angularjs.\n */\n@UntilDestroy()\n@Component({\n    selector: 'edit-typeahead',\n    templateUrl: './edit-typeahead-input.component.html',\n    styleUrls: ['./edit-typeahead-input.component.less'],\n    providers: [\n        {\n            provide: NG_VALUE_ACCESSOR,\n            useExisting: forwardRef(() => EditTypeaheadComponent),\n            multi: true\n        }\n    ]\n})\nexport class EditTypeaheadComponent implements ControlValueAccessor, OnDestroy, OnInit {\n    @Input() type: string = 'text';\n    @Input() name: string;\n    @Input() placeholder: string;\n    @Input() required: boolean = false;\n    @Input() displayFn?: (option: any) => string;\n    @Input() valueFn?: (option: any) => any;\n    @Input() autocompletePanelWidth?: number;\n    @Input() noMatchTooltip: string | null = null;\n\n\n    @Output() onFocus: EventEmitter<any> = new EventEmitter();\n    @Output() onBlur: EventEmitter<any> = new EventEmitter();\n    @Output() onEnter: EventEmitter<any> = new EventEmitter();\n    @Output() inputChange: EventEmitter<string> = new EventEmitter();\n    // suggestions for mat-autocomplete\n    @Input() @ObservableInput() suggestions: Observable<Object[]>;\n    @ViewChild(MatAutocomplete) matAutocompleteEl: MatAutocomplete;\n    @ViewChild(MatAutocompleteTrigger) matAutocompleteTrigger: MatAutocompleteTrigger;\n\n    // whether or not user selected item in autocomplete suggestion list\n    selectedAutocompleteItemViaEnter: boolean = false;\n\n    values = new BehaviorSubject<string>('');\n\n    filteredSuggestions: Observable<Object[]>;\n    computedTooltip: Observable<string|null>;\n\n    onChange: Function = () => { };\n\n    onTouched: Function = () => { };\n\n    val = null;\n\n    ngAfterViewInit() {\n        this.fixAutocompleteScroll();\n    }\n\n    ngOnDestroy(): void {\n    }\n\n    ngOnInit() {\n        this.filteredSuggestions = combineLatest([this.values, this.suggestions])\n            .pipe(untilDestroyed(this),\n                map(([value, suggestions]) => {\n                    if (!value) {\n                        return suggestions;\n                    }\n                    const filterValue = value.toLowerCase();\n                    return suggestions?suggestions.filter(suggestion =>\n                        this.computeValue(suggestion).toLowerCase().includes(filterValue)\n                        || this.computeDisplay(suggestion).toLowerCase().includes(filterValue)\n                        ):[];\n                })\n            );\n\n        this.computedTooltip = combineLatest([this.values, this.suggestions])\n            .pipe(untilDestroyed(this),\n                map(([value, suggestions]) => {\n                    if ((null == value) || (undefined == value) || !suggestions || !this.valueFn || !this.displayFn) {\n                        return null;\n                    }\n                    for (let sug of suggestions) {\n                        if (this.valueFn(sug) === value) {\n                            return this.displayFn(sug);\n                        }\n                    }\n                    return this.noMatchTooltip;\n                })\n            );\n    }\n\n    handleFocus($event: FocusEvent) {\n        this.onFocus.emit($event);\n    }\n\n    handleBlur() {\n        this.onBlur.emit();\n    }\n\n    /*\n        Whenever an autocomplete item is selected, set\n        flag to true. If item was selected via click,\n        it will be reset (see onSelectionClick).\n\n        This flag is used to prevent the editable list from\n        creating a new entry after selecting a suggestion.\n    */\n    onSelectionChange(event: MatOptionSelectionChange) {\n        this.selectedAutocompleteItemViaEnter = true;\n    }\n\n    /*\n        Fires after onSelectionChange.\n        If selected autocomplete item was not done via enter key,\n        reset flag.\n    */\n    onSelectionClick(event: any) {\n        this.selectedAutocompleteItemViaEnter = false;\n    }\n\n    @HostListener('keydown.enter', ['$event'])\n    handleEnter(event: KeyboardEvent) {\n        if (!this.selectedAutocompleteItemViaEnter) {\n            this.onEnter.emit(event);\n        }\n\n        this.matAutocompleteTrigger.closePanel();\n        this.selectedAutocompleteItemViaEnter = false;\n    }\n\n    /*\n        https://github.com/angular/components/issues/3419\n\n        When using the up/down arrows to scroll through a select or autocomplete\n        list with custom height mat-option elements, the selected item becomes\n        out of sync because the mat-option height is hard coded in the\n        autocomplete code.\n\n        This workaround recalculates the scroll amount using the actual height\n        of mat-option.\n    */\n    fixAutocompleteScroll() {\n        this.matAutocompleteTrigger['_scrollToOption'] = () => {\n            const optionHeight = this.matAutocompleteEl.options.first._getHostElement().clientHeight;\n            const index: number = this.matAutocompleteEl['_keyManager'].activeItemIndex || 0;\n            const labelCount = _countGroupLabelsBeforeOption(index, this.matAutocompleteEl.options, this.matAutocompleteEl.optionGroups);\n            const newScrollPosition = _getOptionScrollPosition(index + labelCount, optionHeight, this.matAutocompleteEl._getScrollTop(), AUTOCOMPLETE_PANEL_HEIGHT);\n\n            this.matAutocompleteEl._setScrollTop(newScrollPosition);\n        };\n    }\n\n\n    get value() {\n        return this.val;\n    }\n\n    set value(val: any){  // this value is updated by programmatic changes if( val !== undefined && this.val !== val){\n        this.val = val;\n        this.onChange(val);\n        this.onTouched(val);\n        this.values.next(<string><unknown>this.val);\n    }\n\n    writeValue(obj: any): void {\n        this.val = obj;\n        this.values.next(<string><unknown>this.val);\n    }\n\n    registerOnChange(fn: any): void {\n        this.onChange = fn;\n    }\n\n    registerOnTouched(fn: any): void {\n        this.onTouched = fn;\n    }\n\n    computeDisplay(obj: any): string {\n        return this.displayFn?this.displayFn(obj):obj;\n    }\n\n    computeValue(obj: any): string {\n        return this.valueFn?this.valueFn(obj):obj;\n    }\n}\n","import { Observable } from 'rxjs';\nimport { ObservableInput } from 'observable-input';\nimport { ControlValueAccessor, NG_VALUE_ACCESSOR } from '@angular/forms';\nimport { Component, Input, Output, EventEmitter, Inject, forwardRef } from '@angular/core';\nimport { IScope } from 'angular';\n\n@Component({\n    selector: 'downgraded-edit-typeahead-input',\n    templateUrl: './downgraded-edit-typeahead-input.component.html'\n})\n\n/**\n * Bridge between Angular and AngularJS to use editable input with typeahead in the later.\n * Simply provides proper inputs and outputs, adapts ControlValueAccessor structure and propagates changes.\n * Should be used in complex cases, when displayed label is different from the value.\n *\n * @example\n * // In AngularJS code\n * <ng2-typeahead [(value)]=\"myChoice\" [suggestions]=\"suggestions\"></ng2-typeahead>\n *\n * suggestions being an array of string.\n *\n * Note: this simple example has no advantage over:\n *\n * <input type=\"text\" bs-typeahead=\"suggestions\" ng-model=\"myChoice\" />\n *\n * and, so, this later should be prefered.\n *\n * @example\n * // In AngularJS code\n * <ng2-typeahead [(value)]=\"desc.modelVersionId\" [suggestions]=\"modelVersions\"\n *      [display-fn]=\"versionDisplayFn\" [value-fn]=\"versionValueFn\"\n *      autocomplete-panel-width=\"600\"\n *      no-match-tooltip=\"(current input does not match a suggestion)\"></ng2-typeahead>\n *\n *  with modelVersions = [{\n *      versionId: \"\",\n *      label: \"Active version\"\n *  },{\n *      versionId: \"123456789\",\n *      label: \"Random Forest blah blah - 123456789\"\n *  }]\n *\n *\n *   and\n *\n *  $scope.versionDisplayFn = function(version) {\n *      return version.label;\n *  }\n *\n *  $scope.versionValueFn = function(version) {\n *      return version.versionId;\n *  }\n *\n * will display an input text with typeahead, suggestions being displayed by label, and a tooltip being displayed over current value, if it matches a suggestion\n*/\nexport class DowngradedEditTypeaheadInputComponent {\n    @Input() value: string;\n    @Input() name: string;\n    @Input() placeholder: string;\n    @Input() required: boolean = false;\n    // suggestions for mat-autocomplete\n    @Input() @ObservableInput() suggestions: Observable<Object[]>;\n    @Input() displayFn?: (option: any) => string;\n    @Input() valueFn?: (option: any) => any;\n    @Input() autocompletePanelWidth?: number;\n    @Input() noMatchTooltip?: string;\n\n    @Output() onFocus: EventEmitter<any> = new EventEmitter();\n    @Output() onBlur: EventEmitter<any> = new EventEmitter();\n    @Output() onEnter: EventEmitter<any> = new EventEmitter();\n    @Output() onValidityChange = new EventEmitter<boolean>();\n    @Output() valueChange = new EventEmitter<string>();\n\n    constructor(@Inject('$rootScope') private $rootScope: IScope) {\n    }\n\n    handleChange(value: string) {\n        this.$rootScope.$applyAsync();\n        this.valueChange.emit(value);\n    }\n}\n","<edit-typeahead [ngModel]=\"value\"\n    (ngModelChange)=\"handleChange($event)\"\n    [name]=\"name\"\n    [placeholder]=\"placeholder\"\n    [required]=\"required\"\n    [suggestions]=\"suggestions|async\"\n    [displayFn]=\"displayFn\"\n    [valueFn]=\"valueFn\"\n    [autocompletePanelWidth]=\"autocompletePanelWidth\"\n    [noMatchTooltip]=\"noMatchTooltip\"\n    (onFocus)=\"onFocus.emit($event)\"\n    (onBlur)=\"onBlur.emit($event)\"\n    (onEnter)=\"onBlur.emit($event)\">\n</edit-typeahead>\n","import { Injectable } from '@angular/core';\nimport { BasePainterOptions, ImagePositionInformation, PainterImage } from '@shared/models/painter';\nimport { CellData } from './images-data-fetcher.service';\n\n@Injectable()\nexport class PainterService {\n    paintForModal(cellData: CellData, canvas: fabric.StaticCanvas, imagePosition: ImagePositionInformation, options?: BasePainterOptions): void {}\n    paintForFeed(cellData: CellData, image: PainterImage, imagePosition: ImagePositionInformation, options?: BasePainterOptions): void {}\n}\n","import { AnyLoc } from \"src/generated-sources\";\n\nexport class ManagedFolder {\n\n    loc: AnyLoc;\n    contextProjectKey: string;\n\n    constructor(loc: AnyLoc, contextProjectKey: string) {\n        this.loc = loc;\n        this.contextProjectKey = contextProjectKey;\n    }\n\n    getImagePath(itemPath: string): string {\n        let contentType = 'image/jpeg';\n        // keep in sync with PathStats::SUPPORTED_IMAGES\n        if (itemPath.endsWith('.png')) {\n            contentType = 'image/png';\n        }\n        return `/dip/api/managedfolder/preview-image?contextProjectKey=${encodeURIComponent(this.contextProjectKey)}&projectKey=${encodeURIComponent(this.loc.projectKey)}&odbId=${encodeURIComponent(this.loc.id)}&itemPath=${encodeURIComponent(itemPath)}&contentType=${encodeURIComponent(contentType)}`;\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { Chunk } from '@shared/components/infinite-scroll/infinite-scroll.component';\nimport { ManagedFolder } from '@utils/managed-folder';\nimport { Observable, ReplaySubject } from 'rxjs';\nimport { AnyLoc } from 'src/generated-sources';\n\nexport interface CellData {\n    itemPath: string,\n    imageId: number\n}\n\n@Injectable()\nexport abstract class ImagesDataFetcherService {\n    readonly CHUNK_SIZE = 64;\n\n    projectKey: string;\n    managedFolderLoc: AnyLoc;\n\n    private subject = new ReplaySubject<void>(1);\n    dataChanged$: Observable<void> = this.subject.asObservable();\n\n    abstract getChunk(offset: number): Observable<Chunk>;\n\n    abstract rowToCellData(rowContent: string[], i: number, j: number): CellData;\n\n    getImagePath(itemPath: string): string {\n        return new ManagedFolder(this.managedFolderLoc, this.projectKey).getImagePath(itemPath);\n   }\n\n    onDataChanged(): void {\n        this.subject.next();\n    }\n}\n","import { Injectable } from \"@angular/core\";\nimport { Chunk } from \"@shared/components/infinite-scroll/infinite-scroll.component\";\nimport { Observable, of } from \"rxjs\";\nimport { map } from \"rxjs/operators\";\nimport { SerializedMemTableV2, SerializedTableChunk } from \"src/generated-sources\";\nimport { ImagesDataFetcherService } from \"./images-data-fetcher.service\";\n\n@Injectable()\nexport abstract class SampleDataFetcherService extends ImagesDataFetcherService {\n    totalItems: number | null;\n    tableData: SerializedMemTableV2 | undefined;\n\n    abstract refreshSample(): Observable<SerializedMemTableV2>;\n\n    abstract getSampleChunk(offset: number, nbRows: number): Observable<SerializedTableChunk>;\n\n    getChunk(offset: number): Observable<Chunk> {\n        let chunk$: Observable<SerializedTableChunk>;\n\n        if (this.totalItems !== null && this.totalItems > 0 && offset >= this.totalItems) {\n            return of({\n                totalItems: this.totalItems,\n                chunkItems: []\n            });\n        }\n\n        if (offset === 0) {\n            chunk$ = this.refreshSample()\n                .pipe(\n                    map(result => result.initialChunk)\n                );\n        } else {\n            chunk$ = this.getSampleChunk(offset, this.CHUNK_SIZE);\n        }\n\n        return chunk$.pipe(\n            map(chunk => ({\n                totalItems: chunk.totalKeptRows,\n                chunkItems: Array.from(Array(Math.min(chunk.nbRows, chunk.totalKeptRows - offset)))\n                .map((row, index) => {\n                    const rowContent = chunk.content.slice(index * chunk.nbCols, (index + 1) * chunk.nbCols);\n                    return this.rowToCellData(rowContent, offset + index, 0);\n                })\n            }))\n        );\n    };\n}\n","import { Injectable } from '@angular/core';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class ColorMapContextService {\n    mapping: Map<string, string>;\n\n    setMapping(labels: string[], colors: string[]) {\n        this.mapping = new Map();\n        labels.forEach((category: string, index: number) => {\n            this.mapping.set(category, colors[index % colors.length]);\n        });\n    }\n}\n","export interface ImagePositionInformation {\n    scale: number;\n    top: number;\n    left: number;\n}\n\nexport interface BasePainterOptions {\n}\n\nexport class PainterImage {\n    artifacts: PainterImageArtifact[] = [];\n\n    addArtifact(artifact: PainterImageArtifact) {\n        this.artifacts.push(artifact);\n    }\n\n    removeArtifacts() {\n        this.artifacts = [];\n    }\n}\n\nexport class PainterImageArtifact {\n    style: any;\n    text?: string;\n    icon?: string;\n\n    constructor(style: any) {\n        this.style = style;\n    }\n}","import { ImagePositionInformation, PainterImageArtifact } from \"@shared/models/painter\";\n\nexport class ImageClassificationLabelHelper {\n    static createLabel(imagePosition: ImagePositionInformation, color?: string) {\n        return new PainterImageArtifact({\n            backgroundColor: color,\n            left: \"4px\",\n            top: \"calc(100% - 24px)\",\n            color: \"black\",\n            padding: \"0px 4px\",\n            borderRadius: \"15px\",\n        });\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { ImagePositionInformation, PainterImage } from '@shared/models/painter';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { PainterService } from '@shared/services/painter.service';\nimport { DeephubImageClassificationDesignCellData } from './deephub-image-classification-design-data-fetcher.service';\nimport { fabric } from \"fabric\";\nimport { ImageClassificationLabelHelper } from '../../utils/label-helper';\n\n@Injectable()\nexport class DeephubImageClassificationDesignPainterService extends PainterService {\n    constructor(\n        private colorMapService: ColorMapContextService\n    ) {\n        super();\n    }\n\n    paintForFeed(cellData: DeephubImageClassificationDesignCellData, image: PainterImage, imagePosition: ImagePositionInformation): void {\n        const color = this.colorMapService.mapping.get(cellData.target);\n        const box = ImageClassificationLabelHelper.createLabel(imagePosition, color);\n        box.text = cellData.target;\n        image.addArtifact(box);\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { CellData } from '@shared/services/images-data-fetcher.service';\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { SerializedMemTableV2 } from 'src/generated-sources';\n\nexport interface DeephubCellData extends CellData {\n}\n\nexport interface DeephubColumn {\n    name: string,\n    index?: number\n}\n\nexport interface DeephubDataColumns {\n    target: DeephubColumn,\n    itemPath: DeephubColumn\n}\n\n@UntilDestroy()\n@Injectable({\n  providedIn: 'root'\n})\nexport abstract class AbstractDeephubDataFetcherService extends SampleDataFetcherService {\n    dataColumns: DeephubDataColumns;\n\n    abstract createDataColumns(orderedColumns: string[]): DeephubDataColumns;\n\n    onRefreshSample(sample: SerializedMemTableV2): void {\n        this.dataColumns = this.createDataColumns(sample.allColumnNames);\n        this.tableData = sample;\n        this.totalItems = sample.totalKeptRows;\n    }\n\n    // modifies dataColumns object\n    addColumnIndices(dataColumns: DeephubDataColumns, orderedColumns: string[]) {\n        Object.values(dataColumns).forEach(column => {\n            column.index = orderedColumns.indexOf(column.name);\n        });\n    }\n\n    abstract rowToCellData(rowContent: string[], i: number, j: number): DeephubCellData;\n}\n","import { Observable, ReplaySubject } from 'rxjs';\nimport { DeephubImagesDataService, PredictionMLTask, SerializedMemTableV2, SerializedTableChunk } from \"src/generated-sources\";\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { map } from 'rxjs/operators';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { AbstractDeephubDataFetcherService, DeephubCellData, DeephubDataColumns } from '@features/deephub/services/abstract-deephub-data-fetcher.service';\nimport { Injectable } from '@angular/core';\nimport { resolveSmartName } from '@utils/loc';\n\nexport interface DeephubDesignCellData extends DeephubCellData {\n    listCategories(): string[]\n}\n\ninterface DeephubDesignDataColumns extends DeephubDataColumns {}\n\ninterface MLTaskInfo {\n    projectKey: string,\n    analysisId: string,\n    mlTask: PredictionMLTask.DeepHubPredictionMLTask\n}\n\n@UntilDestroy()\n@Injectable()\nexport abstract class AbstractDeephubDesignDataFetcherService extends AbstractDeephubDataFetcherService {\n    filters: DeephubImagesDataService.DeepHubDesignFilterRequest;\n    analysisId: string;\n    projectKey: string;\n    mlTask: PredictionMLTask.DeepHubPredictionMLTask;\n\n    private mlTaskInfo$ = new ReplaySubject<MLTaskInfo>(1);\n\n    constructor(private DataikuAPI: DataikuAPIService) {\n        super();\n        this.mlTaskInfo$.pipe(untilDestroyed(this)).subscribe(mlTaskInfo => {\n            this.mlTask = mlTaskInfo.mlTask;\n            this.projectKey = mlTaskInfo.projectKey;\n            this.analysisId = mlTaskInfo.analysisId;\n            this.managedFolderLoc = resolveSmartName(this.projectKey, this.mlTask.managedFolderSmartId);\n            this.onDataChanged();\n        });\n    }\n\n    setMLTaskInfo(projectKey: string, analysisId: string, mlTask: PredictionMLTask.DeepHubPredictionMLTask) {\n        this.mlTaskInfo$.next({ projectKey, analysisId, mlTask });\n    }\n\n    refreshSample(): Observable<SerializedMemTableV2> {\n        return this.DataikuAPI.analysis.refreshPMLImagesDataSample(this.projectKey, this.analysisId, this.mlTask.id, this.CHUNK_SIZE ,this.filters)\n            .pipe(\n                map(result => {\n                    this.onRefreshSample(result);\n                    return result;\n                })\n            );\n    }\n\n    getSampleChunk(firstRow: number, nbRows: number): Observable<SerializedTableChunk> {\n        return this.DataikuAPI.analysis.getPMLImagesDataChunk(this.projectKey, this.analysisId, this.mlTask.id, firstRow, nbRows, this.filters);\n    }\n\n    createDataColumns(orderedColumns: string[]): DeephubDesignDataColumns {\n        const columns = {\n            target: {\n                name: this.mlTask.targetVariable\n            },\n            itemPath: {\n                name: this.mlTask.pathColumn\n            }\n        };\n\n        this.addColumnIndices(columns, orderedColumns);\n\n        return columns;\n    }\n\n    setFilteredCategories(filteredCategories: string[]) {\n        this.filters = {\n            targetCategories: filteredCategories\n        };\n        this.onDataChanged();\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { AbstractDeephubDesignDataFetcherService, DeephubDesignCellData } from '@features/deephub/computer-vision/design/services/abstract-deephub-design-data-fetcher.service';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nexport class DeephubImageClassificationDesignCellData implements DeephubDesignCellData {\n    constructor(\n        public itemPath: string,\n        public target: string,\n        public imageId: number\n    ) {}\n\n    listCategories(): string[] {\n        return [this.target];\n    }\n};\n\n@UntilDestroy()\n@Injectable()\nexport class DeephubImageClassificationDesignDataFetcherService extends AbstractDeephubDesignDataFetcherService {\n    rowToCellData(rowContent: string[], i: number, j: number): DeephubImageClassificationDesignCellData {\n        return new DeephubImageClassificationDesignCellData(\n            rowContent[this.dataColumns.itemPath.index!],\n            rowContent[this.dataColumns.target.index!],\n            i\n        );\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { ImageMetaData } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { StaticCanvas } from 'fabric/fabric-impl';\nimport { ReplaySubject, Subject } from 'rxjs';\n\n@Injectable({\n    providedIn: 'root'\n})\nexport class FeedImageModalService {\n    private canvasSource$ = new Subject<StaticCanvas>();\n    private imageIdSource$ = new ReplaySubject<number>(1);\n    private imageSource$ = new ReplaySubject<ImageMetaData>(1);\n\n    canvas$ = this.canvasSource$.asObservable();\n    imageId$ = this.imageIdSource$.asObservable();\n    image$ = this.imageSource$.asObservable();\n\n    constructor() { }\n\n    setCanvas(canvas: StaticCanvas) {\n        this.canvasSource$.next(canvas);\n    }\n    setImageId(id: number) {\n        this.imageIdSource$.next(id);\n    }\n\n    setImage(im: ImageMetaData) {\n        this.imageSource$.next(im)\n    }\n\n\n}\n","<ng-content></ng-content>\n<button class=\"carousel-nav carousel-nav--prev\" *ngIf=\"index > 0\" (click)=\"changeItem(index - 1)\">\n    <i class=\"icon-chevron-left\"></i>\n</button>\n<button class=\"carousel-nav carousel-nav--next\" *ngIf=\"index < itemCount - 1\" (click)=\"changeItem(index + 1)\">\n    <i class=\"icon-chevron-right\"></i>\n</button>","import { Component, OnInit, ChangeDetectionStrategy, Output, EventEmitter, Input, OnChanges } from '@angular/core';\n\n@Component({\n  selector: 'carousel',\n  templateUrl: './carousel.component.html',\n  styleUrls: ['./carousel.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CarouselComponent {\n    @Input() index: number;\n    @Input() itemCount: number;\n    @Output() change = new EventEmitter<number>();\n\n    constructor() {}\n\n    changeItem(newIndex: number) {\n        this.change.emit(newIndex);\n    }\n}\n","<div class=\"image-placeholder\">\n    <i class=\"dku-loader icon-spin dku-loader--inlined\" [ngStyle]=\"{ 'width': size / 5 + 'px', 'height': size / 5 + 'px' }\" *ngIf=\"!hasLoaded\"></i>\n    <ng-container *ngIf=\"hasLoaded\">\n        <i class=\"icon-picture\" [ngStyle]=\"{ 'font-size': size / 3 + 'px' }\"></i>\n        <p class=\"image-placeholder__message\" *ngIf=\"noImageMessage\">\n            {{ noImageMessage }}\n        </p>\n    </ng-container>\n</div>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\n\n@Component({\n  selector: 'image-placeholder',\n  templateUrl: './image-placeholder.component.html',\n  styleUrls: ['./image-placeholder.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ImagePlaceholderComponent {\n    @Input() hasLoaded: boolean;\n    @Input() size: number;\n    @Input() noImageMessage: string;\n\n    constructor() { }\n}\n","<div class=\"modal-canvas__wrapper h100\" #wrapperEl>\n    <canvas #canvasEl class=\"modal-canvas__element db\" width=\"0\"></canvas>\n    <image-placeholder *ngIf=\"!hasImage\" [hasLoaded]=\"hasLoaded\" [size]=\"loaderBaseHeight\" [noImageMessage]=\"'Not found'\"></image-placeholder>\n</div>\n","import { Component, ChangeDetectionStrategy, Input, ElementRef, ViewChild, AfterViewInit, ChangeDetectorRef, Output, EventEmitter, SimpleChanges, OnInit } from '@angular/core';\nimport { fabric } from 'fabric';\nimport { CellData, ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { PainterService } from \"@shared/services/painter.service\";\nimport { StaticCanvas } from 'fabric/fabric-impl';\nimport { WindowService } from 'dku-frontend-core';\nimport { debounceTime } from 'rxjs/operators';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { BasePainterOptions } from '@shared/models/painter';\n\n@UntilDestroy()\n@Component({\n  selector: 'feed-image-modal-canvas',\n  templateUrl: './feed-image-modal-canvas.component.html',\n  styleUrls: ['./feed-image-modal-canvas.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FeedImageModalCanvasComponent implements OnInit, AfterViewInit {\n    @ViewChild('canvasEl') canvasEl: ElementRef;\n    @ViewChild('wrapperEl') wrapperEl: ElementRef;\n    @Input() cellData: CellData;\n    @Input() imageId: number; // in case cell has no data yet\n    @Input() options: BasePainterOptions;\n    @Output() imageStatusChanged = new EventEmitter<boolean>();\n    @Output() canvasUpdate = new EventEmitter<StaticCanvas>();\n\n    public hasImage: boolean;\n    public hasLoaded: boolean;\n    public margin = 16;\n    public loaderBaseHeight: number;\n    private canvas: StaticCanvas;\n    private image: HTMLImageElement;\n    private readonly MAX_SCALE = 3;\n\n    constructor(\n        private dataFetcher: ImagesDataFetcherService,\n        private canvasPainter: PainterService,\n        private windowService: WindowService,\n        private cd: ChangeDetectorRef\n    ) {\n    }\n\n    ngOnInit() {\n        this.windowService.resize$.pipe(\n            untilDestroyed(this),\n            debounceTime(500)\n        ).subscribe(_ => {\n            this.drawCanvasElements();\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (this.cellData) {\n            // redraw canvas if image is different\n            if (changes.cellData?.currentValue?.itemPath !== changes.cellData?.previousValue?.itemPath) {\n                this.drawCanvas();\n            } else { // if we're just resizing, don't redraw entire canvas\n                this.drawCanvasElements();\n            }\n\n            this.cd.markForCheck();\n        }\n    }\n\n    ngAfterViewInit() {\n        this.loaderBaseHeight = Math.min(this.wrapperEl.nativeElement.clientHeight, 400);\n\n        this.canvas = new fabric.StaticCanvas(this.canvasEl.nativeElement);\n    }\n\n    drawCanvas(): void {\n        this.resetCanvas();\n\n        const imgUrl = this.dataFetcher.getImagePath(this.cellData.itemPath);\n\n        this.image = fabric.util.createImage();\n        this.image.src = imgUrl;\n        this.image.onload = this.image.onerror = this.drawCanvasElements.bind(this);\n    }\n\n    drawCanvasElements() {\n        const oImg = new fabric.Image(this.image, {});\n        this.hasLoaded = true;\n\n        const imgOriginalWidth: number = oImg.getScaledWidth();\n        const imgOriginalHeight: number = oImg.getScaledHeight();\n\n        if (this.canvas) {\n            this.clearCanvas();\n        }\n\n        if (!imgOriginalWidth || !imgOriginalHeight) {\n            this.setImageStatus(false);\n        } else {\n            this.setImageStatus(true);\n\n            const containerWidth = this.wrapperEl.nativeElement.clientWidth;\n            const containerHeight = this.wrapperEl.nativeElement.clientHeight;\n            const imgScaleX = containerWidth / imgOriginalWidth;\n            const imgScaleY = containerHeight / imgOriginalHeight;\n            const imgScale = Math.min(imgScaleX, imgScaleY, this.MAX_SCALE);\n            const imgPosition = {\n                scale: imgScale,\n                left: 0,\n                top: 0\n            };\n\n            this.canvas.setBackgroundImage(oImg, this.canvas.renderAll.bind(this.canvas), {\n                scaleX: imgPosition.scale,\n                scaleY: imgPosition.scale,\n                top: imgPosition.top,\n                left: imgPosition.left\n            });\n\n            // Shrink canvas to image\n            this.canvas.setWidth(oImg.getScaledWidth());\n            this.canvas.setHeight(oImg.getScaledHeight());\n\n            this.canvasPainter.paintForModal(this.cellData, this.canvas, imgPosition, this.options);\n            this.canvasUpdate.emit(this.canvas);\n        }\n\n        this.cd.markForCheck();\n    }\n\n    resetCanvas() {\n        this.hasImage = false;\n        this.hasLoaded = false;\n\n        if (this.canvas) {\n            this.clearCanvas();\n        }\n    }\n\n    setImageStatus(hasImage: boolean) {\n        this.hasImage = hasImage;\n        this.imageStatusChanged.emit(hasImage);\n    }\n\n    clearCanvas() {\n        this.canvas.setDimensions({\n            width: 0,\n            height: 0\n        });\n        this.canvas.clear();\n    }\n}\n","<div class=\"modal modal-root feed-image-modal\">\n    <modal-header\n        [title]=\"currentImage?.cellData?.itemPath\"\n    ></modal-header>\n    <div class=\"modal-body flex modal-body--analysis no-padding horizontal-flex\">\n        <div class=\"feed-image-modal__canvas\">\n            <carousel [index]=\"currentImage?.cellData?.imageId\" [itemCount]=\"currentImage?.rawChunk?.totalKeptRows\" (change)=\"setImageId($event)\">\n                <feed-image-modal-canvas class=\"w100 h100\" [cellData]=\"currentImage?.cellData\" (imageStatusChanged)=\"updateImageStatus($event)\" (canvasUpdate)=\"onCanvasUpdate($event)\" [options]=\"imageOptions\"></feed-image-modal-canvas>\n            </carousel>\n        </div>\n        <div class=\"feed-image-modal__meta\">\n            <ng-container *ngIf=\"currentImage\">\n                <ng-container *ngTemplateOutlet=\"templateRef, context: { image: currentImage }\"></ng-container>\n            </ng-container>\n        </div>\n    </div>\n</div>\n","import { AfterViewInit, ChangeDetectionStrategy, ChangeDetectorRef, Component, ContentChild, Input, TemplateRef } from '@angular/core';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { BasePainterOptions } from '@shared/models/painter';\nimport { FeedImageModalService } from '@shared/services/feed-image-modal.service';\nimport { CellData } from '@shared/services/images-data-fetcher.service';\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { StaticCanvas } from 'fabric/fabric-impl';\nimport { map, shareReplay, switchMap } from 'rxjs/operators';\nimport { SerializedTableChunk } from 'src/generated-sources';\n\nexport interface Column {\n    name: string,\n    index: number,\n    content?: any\n}\n\nexport interface ImageMetaData {\n    allColumns: Column[];\n    cellData: CellData;\n    rawChunk: SerializedTableChunk,\n    valid: boolean\n}\n\nexport interface FeedImageModalParams {\n    imageId: number\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'feed-image-modal',\n    templateUrl: './feed-image-modal.component.html',\n    styleUrls: ['./feed-image-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FeedImageModalComponent implements AfterViewInit {\n    currentImage: ImageMetaData;\n\n    @Input() imageId: number;\n    @Input() columns: Column[];\n    @Input() imageOptions: BasePainterOptions;\n\n    @ContentChild(TemplateRef) templateRef: TemplateRef<any>;\n\n    constructor(\n        public dataFetcher: SampleDataFetcherService,\n        public feedImageModalService: FeedImageModalService,\n        public cd: ChangeDetectorRef\n    ) {\n        this.feedImageModalService.imageId$.pipe(\n            untilDestroyed(this),\n            switchMap(imageId => this.dataFetcher.getSampleChunk(imageId, 1)),\n            map((chunk: SerializedTableChunk) => ({\n                allColumns: this.columns\n                    .map(column => ({\n                        ...column,\n                        content: chunk.content[column.index]\n                    }), {}),\n                cellData: this.dataFetcher.rowToCellData(chunk.content, chunk.firstRow, 0),\n                rawChunk: chunk,\n                valid: true\n            })),\n            shareReplay(1)\n        ).subscribe(image => {\n            this.currentImage = image;\n            this.feedImageModalService.setImage(this.currentImage);\n            this.cd.markForCheck();\n        });\n    }\n\n    ngAfterViewInit(): void {\n        this.setImageId(this.imageId);\n    }\n\n    onCanvasUpdate(canvas: StaticCanvas) {\n        this.feedImageModalService.setCanvas(canvas);\n    }\n\n    setImageId(id: number) {\n        this.feedImageModalService.setImageId(id);\n    }\n\n    updateImageStatus(hasImage: boolean) {\n        if (this.currentImage) {\n            this.currentImage = {\n                ...this.currentImage,\n                valid: hasImage\n            }\n            this.feedImageModalService.setImage(this.currentImage);\n        }\n    }\n}\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\n\n@Component({\n    selector: 'feed-image-modal-section',\n    templateUrl: './feed-image-modal-section.component.html',\n    styleUrls: ['./feed-image-modal-section.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FeedImageModalSectionComponent {\n    @Input() sectionTitle: string;\n}\n","<h3 class=\"dku-medium-title-sb mtop8 mbot8\">{{ sectionTitle }}</h3>\n<ng-content></ng-content>\n","<div>\n    <div class=\"image-metadata__columns\" *ngFor=\"let column of image.allColumns\">\n        <div class=\"image-metadata__columns-name mx-textellipsis\" [title]=\"column.name\">\n            {{column.name}}\n        </div>\n        <div class=\"image-metadata__columns-content mx-textellipsis\" [title]=\"column.content\">\n            {{column.content}}\n        </div>\n    </div>\n    <div *ngIf=\"image.allColumns.length === 0\">No metadata</div>\n</div>\n","import { Component, OnInit, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { ImageMetaData } from '@shared/components/feed-image-modal/feed-image-modal.component';\n\n@Component({\n  selector: 'image-metadata',\n  templateUrl: './image-metadata.component.html',\n  styleUrls: ['./image-metadata.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ImageMetadataComponent implements OnInit {\n    @Input() image: ImageMetaData;\n\n    constructor() { }\n\n    ngOnInit(): void {\n    }\n}\n","<feed-image-modal-section [sectionTitle]=\"'Details'\">\n    <ul class=\"raw-unstyled-ul\">\n        <li *ngFor=\"let item of categoryColorMap | keyvalue\" class=\"deephub-image-details__category\">\n            <div class=\"deephub-image-legend noflex\">\n                <span class=\"deephub-image-legend__item\" [style.background-color]=\"item.value\"></span>\n            </div>\n            <span class=\"mleft8\" [title]=\"item.key\">\n                {{ item.key }}\n            </span>\n        </li>\n    </ul>\n</feed-image-modal-section>","import { Component, ChangeDetectionStrategy, Input, OnChanges } from '@angular/core';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\n\n@Component({\n    selector: 'deephub-image-details',\n    templateUrl: './deephub-image-details.component.html',\n    styleUrls: [\n        './deephub-image-details.component.less',\n        '../../shared-styles/deephub-image.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubImageDetailsComponent implements OnChanges {\n    @Input() categories: string[]\n\n    categoryColorMap: { [key: string]: string } = {};\n\n    constructor(\n        public colorMapService: ColorMapContextService\n    ) { }\n\n    ngOnChanges(): void {\n        this.setColorMap();\n    }\n\n    setColorMap() {\n        this.categoryColorMap = this.categories.reduce((allCategories, category) => ({\n            ...allCategories,\n            [category]: this.categoryColorMap[category] || this.colorMapService.mapping.get(category)\n        }), {});\n    }\n}\n","<feed-image-modal [imageId]=\"data.imageId\" [columns]=\"data.columns\">\n    <ng-template let-image=\"image\">\n        <feed-image-modal-section [sectionTitle]=\"'Path'\">\n            <div class=\"alert alert-error mbot8\" *ngIf=\"!image.valid\">\n                <i class=\"icon-dku-error mright4\"></i> Path not found in managed folder\n            </div>\n            <p class=\"break-all\">{{ image?.cellData?.itemPath }}</p>\n        </feed-image-modal-section>\n        <feed-image-modal-section [sectionTitle]=\"'Metadata'\">\n            <image-metadata [image]=\"image\"></image-metadata>\n        </feed-image-modal-section>\n        <deephub-image-details [categories]=\"image?.cellData?.listCategories()\"></deephub-image-details>\n    </ng-template>\n</feed-image-modal>","import { Component, ChangeDetectionStrategy, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA } from '@angular/material/dialog';\nimport { Column } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeepHubColumnFormat } from 'src/generated-sources';\n\n@Component({\n    selector: 'deephub-design-image-feed-modal',\n    templateUrl: './deephub-design-image-feed-modal.component.html',\n    styleUrls: ['./deephub-design-image-feed-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubDesignImageFeedModalComponent {\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) public data: {\n            imageId: number,\n            columns: Column[]\n        },\n        public colorMapService: ColorMapContextService\n    ) {}\n}\n","<cdk-virtual-scroll-viewport [itemSize]=\"itemHeight\" class=\"infinite-scroll__viewport\">\n    <div class=\"infinite-scroll__viewport-row\">\n        <ng-container *cdkVirtualFor=\"let row of ds; let rowId = index; trackBy: trackByFn;\">\n            <div *ngFor=\"let item of row; let colId = index;\" class=\"infinite-scroll__viewport-item\" [ngStyle]=\"{ 'height': itemHeight + 'px' }\">\n                <ng-container *ngTemplateOutlet=\"template, context: { item: item, index: rowId * itemsPerRow + colId }\"></ng-container>\n            </div>\n        </ng-container>\n    </div>\n</cdk-virtual-scroll-viewport>","import { CollectionViewer, DataSource, ListRange } from '@angular/cdk/collections';\nimport { CdkVirtualScrollViewport } from '@angular/cdk/scrolling';\nimport { ChangeDetectionStrategy, ChangeDetectorRef, Component, ContentChild, ElementRef, EventEmitter, Input, Output, TemplateRef, ViewChild } from '@angular/core';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { BehaviorSubject, Observable, ReplaySubject, Subscription } from 'rxjs';\nimport { concatMap, map, take } from 'rxjs/operators';\n\nexport interface Chunk {\n    totalItems: number, // total number of items in the dataset\n    chunkItems: any[] // items in the chunk\n}\n\n/*\n    Inspired by https://github.com/AngularFirebase/145-infinite-virtual-scroll-cdk-angular\n*/\n@UntilDestroy()\n@Component({\n    selector: 'infinite-scroll',\n    templateUrl: './infinite-scroll.component.html',\n    styleUrls: ['./infinite-scroll.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class InfiniteScrollComponent {\n    @ViewChild(CdkVirtualScrollViewport) viewport: CdkVirtualScrollViewport;\n    @ContentChild(TemplateRef) public template: TemplateRef<{ index: number; item: any; }>;\n    @Input() itemsPerRow: number = 1;\n    @Input() chunkSize: number;\n    @Input() itemHeight: number;\n    @Input() getChunkFn: (offset: number) => Observable<Chunk>;\n    @Output() loadingStatus = new EventEmitter<boolean>();\n    ds: InfiniteScrollDataSource;\n\n    constructor(\n        private cd: ChangeDetectorRef,\n        private elementRef: ElementRef\n    ) {}\n\n    reset() {\n        if (this.ds) {\n            this.viewport.scrollToIndex(0);\n            this.ds.reset();\n        } else {\n            this.elementRef.nativeElement.style.setProperty('--items-per-row', this.itemsPerRow);\n            this.ds = new InfiniteScrollDataSource(this.itemsPerRow, this.chunkSize, this.getChunkFn);\n            this.ds.isLoading$.pipe(\n                untilDestroyed(this)  \n            ).subscribe(isLoading => {\n                this.loadingStatus.emit(isLoading);\n            })\n        }\n        this.cd.markForCheck();\n    }\n\n    trackByFn(i: number) {\n        return i;\n    }\n}\n\n// More info: https://material.angular.io/cdk/scrolling/overview#specifying-data\nexport class InfiniteScrollDataSource extends DataSource<any | undefined> {\n    private cachedData = Array.from<any>({length: 1}); // need to have at least length of 1 to trigger change\n    private dataStream = new BehaviorSubject<(string | undefined)[]>(this.cachedData);\n    private subscription = new Subscription();\n    private offsetSubscription = new Subscription();\n    private getChunkFn: (offset: number) => Observable<Chunk>;\n    private chunkSize = 64;\n    private itemsPerRow: number = 1; // number of items\n    private pageFetchThreshold: number = 1; // number of rows in advance before we fetch the next set\n    private fetchedPages: Set<number>;\n    private offset$ = new ReplaySubject<number>(1);\n\n    public isLoading$ = new BehaviorSubject<boolean>(false);\n\n    constructor(itemsPerRow: number, chunkSize: number, getChunkFn: (offset: number) => Observable<any>) {\n        super();\n        this.itemsPerRow = itemsPerRow;\n        this.chunkSize = chunkSize;\n        this.getChunkFn = getChunkFn;\n        this.reset();\n\n        this.offsetSubscription = this.offset$.pipe(\n            concatMap(offset => this.getChunkFn(offset)\n                .pipe(\n                    take(1),\n                    map(chunk => this.groupByRow(this.fetchedPages.size === 1 ? Array.from(Array(chunk.totalItems)) : this.cachedData, chunk.chunkItems, offset) // chunk data into rows)),\n                )\n            )\n        )).subscribe(data => {\n            this.cachedData = data;\n            this.dataStream.next(this.cachedData);\n            this.isLoading$.next(false);\n        });\n    }\n\n    connect(collectionViewer: CollectionViewer): Observable<(string | undefined)[]> {\n        this.subscription.add(collectionViewer.viewChange.subscribe(range => {\n            this.viewChanged(range);\n        }));\n        return this.dataStream;\n    }\n  \n    disconnect(): void {\n        this.subscription.unsubscribe();\n        this.offsetSubscription.unsubscribe();\n    }\n\n    reset() {\n        this.cachedData = Array.from<any>({length: 1}); \n        this.fetchedPages = new Set<number>();\n        this.dataStream.next(this.cachedData);\n        this.isLoading$.next(true);\n        this.viewChanged({\n            start: 0,\n            end: 0\n        });\n    }\n\n    private viewChanged(range: ListRange) {\n        const startPage = this.getPageForRowNumber(range.start);\n        const endPage = this.getPageForRowNumber(range.end + this.pageFetchThreshold);\n        for (let i = startPage; i <= endPage; i++) {\n            this.fetchPage(i);\n        }\n    }\n\n    private groupByRow(rowData: any[], newData: any[], offset: number) {\n        const items = [].concat(...rowData); // flatten rows\n        const data = [...items.slice(0, offset), ...newData, ...items.slice(offset + newData.length, items.length)];\n        const dataInRows = [];\n        for (let i = 0, j = data.length; i < j; i += this.itemsPerRow) {\n            const rowEnd = i + this.itemsPerRow;\n            dataInRows.push(\n                data.slice(i, rowEnd <= data.length ? rowEnd : data.length)\n            );\n        }\n\n        return dataInRows;\n    }\n  \n    private getPageForRowNumber(rowNumber: number): number {\n        rowNumber = rowNumber < 0 ? 0 : rowNumber;\n        return Math.floor(rowNumber * this.itemsPerRow / this.chunkSize);\n    }\n  \n    private fetchPage(page: number) {\n        if (this.fetchedPages.has(page)) {\n            return;\n        }\n        this.fetchedPages.add(page);\n        this.offset$.next(page * this.chunkSize);\n    }\n}\n","\n<div class=\"image-feed-image\" [ngClass]=\"{ 'image-feed-image--selected': imageSelected  }\" [style.height]=\"imageHeight ? imageHeight - margin + 'px' : ''\">\n    <div class=\"image-feed-image__container\">\n        <img class=\"image-feed-image__img\" #imageEl [src]=\"imgUrl\" [class.display-none]=\"hasError\" (load)=\"onImageLoad()\" (error)=\"onImageError($event)\" />\n        <ng-container *ngIf=\"showArtifacts\">\n            <div class=\"image-feed-image__artifacts\" [style]=\"artifact.style\" *ngFor=\"let artifact of painterImage.artifacts\"><i class=\"{{artifact.icon}} mright4\" *ngIf=\"artifact.icon\"></i>{{artifact.text}}</div>\n        </ng-container>\n    </div>\n    <image-placeholder *ngIf=\"hasError || !hasLoaded\" [hasLoaded]=\"hasLoaded\" [size]=\"imageHeight\"></image-placeholder>\n</div>\n","import { Component, ChangeDetectionStrategy, Input, ElementRef, ViewChild, ChangeDetectorRef, OnDestroy, SimpleChanges, OnInit } from '@angular/core';\nimport { CellData, ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { PainterService } from \"@shared/services/painter.service\";\nimport { WindowService } from 'dku-frontend-core';\nimport { debounceTime } from 'rxjs/operators';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { BasePainterOptions, ImagePositionInformation, PainterImage } from '@shared/models/painter';\n\n@UntilDestroy()\n@Component({\n  selector: 'image-feed-image',\n  templateUrl: './image-feed-image.component.html',\n  styleUrls: ['./image-feed-image.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ImageFeedImageComponent implements OnInit, OnDestroy {\n    @ViewChild('imageEl') imageEl: ElementRef;\n    @Input() cellData: CellData;\n    @Input() imageId: number; // in case cell has no data yet\n    @Input() imageHeight: number;\n    @Input() showBackground: boolean = false;\n    @Input() imageSelected?: boolean;\n    @Input() options: BasePainterOptions;\n\n    public hasLoaded = false;\n    public hasError = false;\n    public margin = 16;\n    public imgUrl: string;\n    public painterImage = new PainterImage();\n    public showArtifacts = true;\n    private image: HTMLImageElement;\n    // sometimes onImageError gets triggered before we try to load the image, so make sure we are actually\n    // trying to load it\n    private loading = false;\n\n    constructor(\n        private dataFetcher: ImagesDataFetcherService,\n        private painter: PainterService,\n        private windowService: WindowService,\n        private cd: ChangeDetectorRef\n    ) {\n    }\n\n    ngOnInit() {\n        this.windowService.resize$.pipe(\n            untilDestroyed(this)\n        ).subscribe(_ => {\n            if (this.showArtifacts) {\n                this.showArtifacts = false;\n                this.cd.detectChanges();\n            }\n        });\n\n        this.windowService.resize$.pipe(\n            debounceTime(500),\n            untilDestroyed(this)\n        ).subscribe(_ => {\n            this.showArtifacts = true;\n            this.drawImageArtifacts();\n        });\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (this.cellData) {\n            // redraw if image is different\n            if (changes.cellData?.currentValue?.itemPath !== changes.cellData?.previousValue?.itemPath) {\n                this.hasLoaded = false;\n                this.hasError = false;\n                this.loading = true;\n                this.imgUrl = this.dataFetcher.getImagePath(this.cellData.itemPath);\n            } else { // if we're just resizing, don't reload image\n                this.drawImageArtifacts();\n            }\n\n            this.cd.markForCheck();\n        }\n    }\n\n    onImageLoad() {\n        this.image = this.imageEl.nativeElement;\n        this.hasLoaded = true;\n        this.hasError = !this.image?.width;\n        this.loading = false;\n\n        if (!this.hasError) {\n            this.drawImageArtifacts();\n        }\n    }\n\n    onImageError(event: any) {\n        if (this.loading) {\n            this.hasLoaded = true;\n            this.hasError = true;\n            this.loading = false;\n        }\n    }\n\n    drawImageArtifacts() {\n        if (!this.image) {\n            return;\n        }\n        const width = this.image.width;\n        const originalWidth = this.image.naturalWidth;\n\n        const imgPosition: ImagePositionInformation = {\n            scale: width / originalWidth,\n            left: this.image.offsetLeft,\n            top: this.image.offsetTop\n        };\n\n        this.painterImage.removeArtifacts();\n        this.painter.paintForFeed(this.cellData, this.painterImage, imgPosition);\n        this.showArtifacts = true;\n        this.cd.detectChanges();\n    }\n\n    ngOnDestroy() {\n        if (this.image) {\n            /*\n                Stop trying to load the image if no longer in view by replacing src attribute\n\n                this.image.src = '' is also possible but causes problems in Android browsers\n                (which aren't really supported anyway)\n\n                See https://stackoverflow.com/a/5278475/11907039 &\n                https://stackoverflow.com/a/14115340/11907039\n            */\n            this.image.src = 'data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=';\n        }\n    }\n}\n","<div class=\"image-feed__container\" #container>\n    <div class=\"tac\" *ngIf=\"loadingStatus$ | async\">\n        <i class=\"dku-loader icon-spin dku-loader--inlined image-feed__loader\"></i>\n    </div>\n    <infinite-scroll class=\"w100\" [getChunkFn]=\"getChunk\" [chunkSize]=\"getChunkSize()\" [itemsPerRow]=\"itemsPerRow\" [itemHeight]=\"imageHeight\" (loadingStatus)=\"loadingStatus$.next($event)\">\n        <ng-template let-item=\"item\" let-index=\"index\">\n            <image-feed-image (click)=\"imageClick?.emit({ imageId: index, itemPath: item?.itemPath })\" [ngClass]=\"{ 'cursor-pointer': !!imageClick && (selectedPath == undefined || selectedPath != item.itemPath)}\" [cellData]=\"item\" [imageHeight]=\"imageHeight\" [imageId]=\"index\" [imageSelected]=\"selectedPath && selectedPath == item.itemPath\" [showBackground]=\"true\"></image-feed-image>\n        </ng-template>\n    </infinite-scroll>\n</div>\n","\nimport { AfterViewInit, Component, EventEmitter, Input, Output, ViewChild } from '@angular/core';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { BehaviorSubject, Observable } from 'rxjs';\nimport { debounceTime } from 'rxjs/operators';\nimport { Chunk, InfiniteScrollComponent } from '../infinite-scroll/infinite-scroll.component';\n\n@UntilDestroy()\n@Component({\n    selector: 'image-feed',\n    templateUrl: './image-feed.component.html',\n    styleUrls: ['./image-feed.component.less']\n})\nexport class ImageFeedComponent implements AfterViewInit {\n    @Input() imageHeight: number;\n    @Input() itemsPerRow: number;\n    @Input() selectedPath?: string;\n    @Output() imageClick? = new EventEmitter<{ imageId?: number, itemPath?: string }>();\n    @ViewChild(InfiniteScrollComponent) viewport: InfiniteScrollComponent;\n\n    loadingStatus$ = new BehaviorSubject<boolean>(false);\n\n    constructor( \n        private dataFetcher: ImagesDataFetcherService\n    ) {}\n\n    getChunk = (offset: number): Observable<Chunk> => {\n        return this.dataFetcher.getChunk(offset);\n    };\n\n    getChunkSize(): number {\n        return this.dataFetcher.CHUNK_SIZE;\n    }\n\n    ngAfterViewInit(): void {\n        this.dataFetcher.dataChanged$.pipe(\n            debounceTime(500),\n            untilDestroyed(this)\n        ).subscribe(_ => {\n            this.viewport.reset();\n        });\n    }\n}\n","import { ChangeDetectionStrategy, Component, Inject, Input, OnChanges, OnInit, SimpleChanges, ViewContainerRef } from '@angular/core';\nimport { FormBuilder, FormControl, Validators } from '@angular/forms';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { PredictionMLTask } from 'src/generated-sources';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { FeedImageModalParams } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { DeephubDesignImageFeedModalComponent } from '../image-feed-modal/deephub-design-image-feed-modal.component';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { AbstractDeephubDesignDataFetcherService } from '../services/abstract-deephub-design-data-fetcher.service';\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-design-image-feed',\n    templateUrl: './deephub-design-image-feed.component.html',\n    styleUrls: ['./deephub-design-image-feed.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class DeephubDesignImageFeedComponent implements OnInit, OnChanges {\n    @Input() mltask: PredictionMLTask.DeepHubPredictionMLTask;\n    @Input() selectedCategories?: string[];\n    // Explicitly pass pathColumn and managedFolderSmartId to trigger change from Angular\n    @Input() pathColumn: string;\n    @Input() managedFolderSmartId: string;\n\n    categoriesList: string[];\n\n    form = this.fb.group({\n        selectedCategories: new FormControl(undefined, [Validators.required])\n    })\n\n    public constructor(\n        private currentRoute: CurrentRouteService,\n        private modalsService: ModalsService,\n        private dataFetcher: AbstractDeephubDesignDataFetcherService,\n        private viewContainerRef: ViewContainerRef,\n        private fb: FormBuilder,\n        private colorMapService: ColorMapContextService,\n        @Inject('COLOR_PALETTES') private COLOR_PALETTES: { [palette: string]: string[]; }\n    ) {}\n\n    ngOnInit(): void {\n        this.categoriesList = this.mltask.preprocessing.target_remapping.map(v => v.sourceValue);\n        this.colorMapService.setMapping(this.categoriesList, this.COLOR_PALETTES.highContrast);\n\n        this.form.get('selectedCategories')!.valueChanges.pipe(\n            untilDestroyed(this)\n        ).subscribe(\n            values => {\n                this.dataFetcher.setFilteredCategories(values);\n            }\n        );\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        this.dataFetcher.setMLTaskInfo(this.currentRoute.projectKey, this.currentRoute.analysisId, this.mltask);\n\n        if (changes.selectedCategories?.currentValue) {\n            this.form.patchValue({\n                selectedCategories: this.selectedCategories\n            })\n        }\n    }\n\n    openModal({ imageId }: FeedImageModalParams) {\n        const IGNORED_COLUMNS = [this.dataFetcher.dataColumns.target.name, this.dataFetcher.dataColumns.itemPath.name];\n        const columns = this.dataFetcher.tableData!.allColumnNames.map((name, index) => ({\n            name,\n            index\n        })).filter(column => !IGNORED_COLUMNS.includes(column.name));\n        this.modalsService\n            .open(DeephubDesignImageFeedModalComponent, {\n                imageId,\n                columns\n             }, ModalShape.FULL, this.viewContainerRef)\n            .then(() => {}, () => {});\n    }\n}\n\n","<div class=\"deephub-design-image-feed\">\n    <!-- Temporary solution to validate backend filtering works, TODO: better way of filtering/displaying selected categories -->\n    <form class=\"deephub-design-image-feed__filter-form dkuform-horizontal\" [formGroup]=\"form\">\n        <div class=\"control-group\">\n            <label class=\"control-label\">Filter displayed classes</label>\n            <div class=\"controls\" >\n                <dku-bs-select-form-control\n                    formControlName=\"selectedCategories\"\n                    ngOptions=\"category for category in list\"\n                    [list]=\"categoriesList\"\n                    dataActionsBox=\"true\"\n                    dataLiveSearch=\"true\"\n                    dkuMultiple=\"multiple\"\n                    [layout]=\"'list'\">\n                </dku-bs-select-form-control>\n            </div>\n        </div>\n    </form>\n\n    <image-feed class=\"deephub-design-image-feed__feed\" [imageHeight]=\"200\" [itemsPerRow]=\"3\" (imageClick)=\"openModal($event)\"></image-feed>\n</div>\n","import { Component, Input } from '@angular/core';\nimport { PainterService } from \"@shared/services/painter.service\";\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubImageClassificationDesignPainterService } from '../services/deephub-image-classification-design-painter.service';\nimport { DeephubImageClassificationDesignDataFetcherService } from '../services/deephub-image-classification-design-data-fetcher.service';\nimport { PredictionMLTask } from 'src/generated-sources';\nimport { AbstractDeephubDesignDataFetcherService } from '@features/deephub/computer-vision/design/services/abstract-deephub-design-data-fetcher.service';\n\n@Component({\n    selector: 'deephub-image-classification-design-image-feed',\n    templateUrl: './deephub-image-classification-design-image-feed.component.html',\n    providers: [\n        ColorMapContextService,\n        DeephubImageClassificationDesignPainterService,\n        DeephubImageClassificationDesignDataFetcherService,\n        { provide: ImagesDataFetcherService, useExisting: DeephubImageClassificationDesignDataFetcherService },\n        { provide: SampleDataFetcherService, useExisting: DeephubImageClassificationDesignDataFetcherService },\n        { provide: PainterService, useExisting: DeephubImageClassificationDesignPainterService },\n        { provide: AbstractDeephubDesignDataFetcherService, useExisting: DeephubImageClassificationDesignDataFetcherService },\n    ]\n})\nexport class DeephubImageClassificationDesignImageFeedComponent {\n    @Input() mltask: PredictionMLTask.DeepHubPredictionMLTask;\n    @Input() selectedCategories?: string[];\n    // Explicitly pass pathColumn and managedFolderSmartId to trigger change from Angular\n    @Input() pathColumn: string;\n    @Input() managedFolderSmartId: string;\n};\n","<deephub-design-image-feed\n    [mltask]=\"mltask\"\n    [selectedCategories]=\"selectedCategories\"\n    [pathColumn]=\"pathColumn\"\n    [managedFolderSmartId]=\"managedFolderSmartId\">\n</deephub-design-image-feed>","import { ImagePositionInformation } from \"@shared/models/painter\";\nimport { DeepHubColumnFormat } from \"src/generated-sources\";\n\nexport class BoxHelper {\n    static createBox<T, P>(Box: (new(...args : any[]) => T), item: DeepHubColumnFormat.ObjectDetectionTargetItem, imagePosition: ImagePositionInformation, params: P, suffix: string | null = null) {\n        try {\n            const bbox = item.bbox;\n            return new Box(Object.assign(this.getBoxParams(bbox, imagePosition, suffix), params));\n        } catch(error) {\n            console.warn(\"couldn't parse bbox for: \",item);\n            return null;\n        };\n    }\n\n    static getBoxParams(bbox: number[], imagePosition: ImagePositionInformation, suffix: string | null = null) {\n         return {\n            left: imagePosition.left + bbox[0] * imagePosition.scale + suffix!,\n            top: imagePosition.top + bbox[1] * imagePosition.scale + suffix!,\n            width: bbox[2] * imagePosition.scale + suffix!,\n            height: bbox[3] * imagePosition.scale + suffix!\n        };\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { ImagePositionInformation, PainterImage, PainterImageArtifact } from '@shared/models/painter';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { PainterService } from '@shared/services/painter.service';\nimport { BoxHelper } from '@features/deephub/object-detection/utils/box-helper';\nimport { DeepHubColumnFormat } from 'src/generated-sources';\nimport { DeephubObjectDetectionDesignCellData } from './deephub-object-detection-design-data-fetcher.service';\nimport { fabric } from \"fabric\";\n\n@Injectable()\nexport class DeephubObjectDetectionDesignPainterService extends PainterService {\n    constructor(\n        private colorMapService: ColorMapContextService\n    ) {\n        super();\n    }\n\n    paintForModal(cellData: DeephubObjectDetectionDesignCellData, canvas: fabric.StaticCanvas, imagePosition: ImagePositionInformation): void {\n        cellData.target?.forEach((elem: DeepHubColumnFormat.ObjectDetectionTargetItem) => {\n            const box = BoxHelper.createBox(fabric.Rect, elem, imagePosition, {\n                stroke: this.colorMapService.mapping.get(elem.category),\n                strokeWidth: 2,\n                fill: 'rgba(0, 0, 0, 0)'\n            });\n            if (box !== null) {\n                canvas.add(box);\n            }\n        });\n    }\n\n    paintForFeed(cellData: DeephubObjectDetectionDesignCellData, image: PainterImage, imagePosition: ImagePositionInformation): void {\n        const target = cellData.target as DeepHubColumnFormat.ObjectDetectionTargetItem[];\n        target?.forEach((elem: DeepHubColumnFormat.ObjectDetectionTargetItem) => {\n            const box = BoxHelper.createBox(PainterImageArtifact, elem, imagePosition, {\n                borderColor: this.colorMapService.mapping.get(elem.category),\n                borderWidth: '2px',\n                borderStyle: 'solid'\n            }, 'px');\n            if (box !== null) {\n                image.addArtifact(box);\n            }\n        });\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DeepHubColumnFormat } from \"src/generated-sources\";\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { AbstractDeephubDesignDataFetcherService, DeephubDesignCellData } from '@features/deephub/computer-vision/design/services/abstract-deephub-design-data-fetcher.service';\n\nexport class DeephubObjectDetectionDesignCellData implements DeephubDesignCellData {\n    constructor(\n        public itemPath: string,\n        public target: DeepHubColumnFormat.ObjectDetectionTargetItem[],\n        public imageId: number\n    ) {}\n\n    listCategories(): string[] {\n        return this.target?.map(t => t.category);\n    }\n}\n@UntilDestroy()\n@Injectable()\nexport class DeephubObjectDetectionDesignDataFetcherService extends AbstractDeephubDesignDataFetcherService {\n    rowToCellData(rowContent: string[], i: number, j: number): DeephubObjectDetectionDesignCellData {\n        return new DeephubObjectDetectionDesignCellData(\n            rowContent[this.dataColumns.itemPath.index!],\n            JSON.parse(rowContent[this.dataColumns.target.index!]),\n            i\n        );\n    }\n}\n","import { Component, Input } from '@angular/core';\nimport { PainterService } from \"@shared/services/painter.service\";\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubObjectDetectionDesignPainterService } from '../services/deephub-object-detection-design-painter.service';\nimport { DeephubObjectDetectionDesignDataFetcherService } from '../services/deephub-object-detection-design-data-fetcher.service';\nimport { PredictionMLTask } from 'src/generated-sources';\nimport { AbstractDeephubDesignDataFetcherService } from '@features/deephub/computer-vision/design/services/abstract-deephub-design-data-fetcher.service';\n\n@Component({\n    selector: 'deephub-object-detection-design-image-feed',\n    templateUrl: 'deephub-object-detection-design-image-feed.component.html',\n    providers: [\n        ColorMapContextService,\n        DeephubObjectDetectionDesignPainterService,\n        DeephubObjectDetectionDesignDataFetcherService,\n        { provide: ImagesDataFetcherService, useExisting: DeephubObjectDetectionDesignDataFetcherService },\n        { provide: SampleDataFetcherService, useExisting: DeephubObjectDetectionDesignDataFetcherService },\n        { provide: PainterService, useExisting: DeephubObjectDetectionDesignPainterService },\n        { provide: AbstractDeephubDesignDataFetcherService, useExisting: DeephubObjectDetectionDesignDataFetcherService },\n    ]\n})\nexport class DeephubObjectDetectionDesignImageFeedComponent {\n    @Input() mltask: PredictionMLTask.DeepHubPredictionMLTask;\n    @Input() selectedCategories?: string[];\n    // Explicitly pass pathColumn and managedFolderSmartId to trigger change from Angular\n    @Input() pathColumn: string;\n    @Input() managedFolderSmartId: string;\n};\n","<deephub-design-image-feed\n    [mltask]=\"mltask\"\n    [selectedCategories]=\"selectedCategories\"\n    [pathColumn]=\"pathColumn\"\n    [managedFolderSmartId]=\"managedFolderSmartId\">\n</deephub-design-image-feed>","import { Injectable } from '@angular/core';\nimport { Observable } from 'rxjs';\nimport { ReplaySubject } from 'rxjs';\nimport { ResolvedDeepHubPredictionCoreParams } from 'src/generated-sources';\n\nexport interface DeephubReport {\n    coreParams: ResolvedDeepHubPredictionCoreParams,\n    fullModelId: string,\n    categories: string[],\n}\n\n@Injectable({\n  providedIn: 'root'\n})\nexport abstract class DeephubReportService<R extends DeephubReport> {\n    private report$ = new ReplaySubject<R>(1);\n\n    constructor() { }\n\n    updateReport(report: R) {\n        this.report$.next(report);\n    }\n\n    getReport(): Observable<R> {\n        return this.report$;\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DeephubReport, DeephubReportService } from '@features/deephub/computer-vision/report/services/abstract-deephub-report.service';\nimport { DeephubImagesDataService, DeepHubPredictionModelPerf } from 'src/generated-sources';\n\nexport interface ObjectDetectionReport extends DeephubReport {\n    perf: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf,\n    confidenceThreshold: number,\n    iou: number\n}\n\n@Injectable({\n  providedIn: 'root'\n})\nexport class DeephubObjectDetectionReportService extends DeephubReportService<ObjectDetectionReport> {\n    // Converts a value on a scale to its position (index)\n    private stepValueToIndex(value: number, startValue: number, step: number) {\n        return Math.round((value - startValue) / step);\n    }\n\n    iouToIndex(iou: number): number {\n        return this.stepValueToIndex(iou, 0.5, 0.05);\n    }\n\n    confidenceThresholdToIndex(confidenceThreshold: number): number {\n        return this.stepValueToIndex(confidenceThreshold, 0, 0.05);\n    }\n\n    /*\n        Category clicked: filter type = ONE for row/column clicked, ANY for other axis\n        Cell clicked: filter type = ONE if in category row/column, NONE if no detection/object row/column\n    */\n    getFilterCategory(index: number, categories: string[]): DeephubImagesDataService.Category {\n        const categoryCount = categories.length;\n        let value = '';\n        let type = DeephubImagesDataService.CategoryType.ONE;\n\n        if (index < 0) { // no category was clicked on, so don't filter any out\n            type = DeephubImagesDataService.CategoryType.ANY;\n        } else if (index >= categoryCount) { // no detection/object cell clicked\n            type = DeephubImagesDataService.CategoryType.NONE;\n        } else { // specific category or cell with category was clicked on\n            value = categories[index];\n        }\n\n        return {\n            type,\n            value\n        }\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DeepHubColumnFormat } from 'src/generated-sources';\nimport { fabric } from \"fabric\";\nimport { Group, IRectOptions, Rect } from 'fabric/fabric-impl';\nimport { BasePainterOptions, ImagePositionInformation, PainterImage, PainterImageArtifact } from '@shared/models/painter';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubObjectDetectionReportCellData } from './deephub-object-detection-report-data-fetcher.service';\nimport { BoxHelper } from '@features/deephub/object-detection/utils/box-helper';\nimport { PainterService } from '@shared/services/painter.service';\n\nexport enum BoxType {\n    GROUND_TRUTH = 'groundTruth',\n    DETECTION = 'detection'\n}\n\nexport enum EnrichedType {\n    FILTERED = 'filtered',\n    VALID = 'valid'\n}\n\n\ninterface PainterOptions extends BasePainterOptions {\n    showResultIcon: boolean,\n    selectedStrokeWidth?: number\n}\n\ninterface CanvasBoxOptions {\n    selected?: boolean,\n    hovered?: boolean,\n    options: PainterOptions\n}\n\nexport interface CanvasPairedItem {\n    boxGrouping: Group,\n    groundTruth?: Rect\n    detection?: Rect\n}\n\n@Injectable({\n    providedIn: 'root'\n  })\nexport class DeephubObjectDetectionReportPainterService extends PainterService {\n    private STROKE_WIDTH = 2;\n\n    private groundTruth: string | undefined;\n    private predicted: string | undefined;\n    constructor(\n        private colorMapService: ColorMapContextService\n    ) {\n        super();\n    }\n\n    public setClasses(groundTruth?: string, predicted?: string) {\n        this.groundTruth = groundTruth;\n        this.predicted = predicted;\n    }\n\n    paintForFeed(cellData: DeephubObjectDetectionReportCellData, image: PainterImage, imagePosition: ImagePositionInformation): void {\n        cellData.enrichedValid.forEach((item: DeepHubColumnFormat.EnrichedObjectDetectionPairedItem) => {\n            if (item.groundTruth !== undefined) {\n                const box = BoxHelper.createBox(PainterImageArtifact, item.groundTruth, imagePosition, {\n                    borderColor: this.colorMapService.mapping.get(item.groundTruth.category),\n                    borderWidth: '2px',\n                    borderStyle: 'dashed'\n                }, 'px');\n                if (box !== null) {\n                    image.addArtifact(box);\n                }\n            }\n\n            if (item.detection !== undefined) {\n                const box = BoxHelper.createBox(PainterImageArtifact, item.detection, imagePosition, {\n                    borderColor: this.colorMapService.mapping.get(item.detection.category),\n                    borderWidth: '2px',\n                    borderStyle: 'solid'\n                }, 'px');\n                if (box !== null) {\n                    image.addArtifact(box);\n                }\n            }\n        });\n    }\n\n    paintForModal(cellData: DeephubObjectDetectionReportCellData, canvas: fabric.StaticCanvas, imagePosition: ImagePositionInformation, options?: PainterOptions): void {\n        this.drawBoxesForEnriched(canvas, imagePosition, cellData.enrichedValid, EnrichedType.VALID, options);\n        this.drawBoxesForEnriched(canvas, imagePosition, cellData.enrichedFiltered, EnrichedType.FILTERED, options);\n    }\n\n    drawBoxesForEnriched(canvas: fabric.StaticCanvas, imagePosition: ImagePositionInformation, enriched: DeepHubColumnFormat.EnrichedObjectDetectionPairedItem[], type: string, options?: PainterOptions): void {\n        enriched.forEach((item: DeepHubColumnFormat.EnrichedObjectDetectionPairedItem) => {\n            let pairObjects: fabric.Object[] = [];\n\n            if (item.groundTruth !== undefined) {\n                const box = BoxHelper.createBox(fabric.Rect, item.groundTruth, imagePosition, {\n                    stroke: this.colorMapService.mapping.get(item.groundTruth.category),\n                    strokeDashArray: [7, 4],\n                    fill: 'rgba(0, 0, 0, 0)',\n                    name: BoxType.GROUND_TRUTH,\n                    selectable: false,\n                    data: item.groundTruth,\n                });\n                if (box !== null) {\n                    pairObjects.push(box);\n                }\n            }\n\n            if (item.detection !== undefined) {\n                const color = this.colorMapService.mapping.get(item.detection.category);\n                const box = BoxHelper.createBox(fabric.Rect, item.detection, imagePosition, {\n                    stroke: color,\n                    fill: 'rgba(0, 0, 0, 0)',\n                    name: BoxType.DETECTION,\n                    selectable: false,\n                    data: item.detection\n                });\n                if (box !== null) {\n                    pairObjects.push(box);\n\n                    if (options?.showResultIcon) {\n                        pairObjects = pairObjects.concat(this.createStatusIcon(item.groundTruth?.category === item.detection?.category, item.detection.bbox, imagePosition, {\n                            fill: color,\n                            strokeWidth: this.STROKE_WIDTH\n                        }));\n                    }\n                }\n            }\n\n            if (pairObjects.length) {\n                const group = new fabric.Group(pairObjects, {\n                    name: type,\n                    selectable: false,\n                    data: {\n                        selected: false,\n                        hovered: false,\n                        options\n                    } as CanvasBoxOptions\n                });\n                const pair = this.createPairItemFromGroup(group);\n\n                // always show valid pairs by default\n                this.setPairSelection(pair, type === EnrichedType.VALID);\n\n                canvas.add(group);\n            }\n        });\n    }\n\n    getPairs(canvas: fabric.StaticCanvas): CanvasPairedItem[] {\n        return [...(canvas.getObjects() as Group[])]\n            .map(group => this.createPairItemFromGroup(group))\n            .sort((a, b) => { // sort by reading order, row by row\n                const groupA = a.boxGrouping;\n                const groupB = b.boxGrouping;\n\n                return groupA.top! - groupB.top! || groupA.left! - groupB.left!;\n            });\n    }\n\n    createPairItemFromGroup(boxGrouping: Group): CanvasPairedItem {\n        const pairItem: CanvasPairedItem = {\n            boxGrouping\n        };\n\n        boxGrouping.getObjects().forEach(box => {\n            const boxType = box.name!;\n\n            // if boxType is null, it means that it's a non-groundtruth/non-detection artifact\n            // such as a X or check icon\n            if (boxType === BoxType.DETECTION || boxType === BoxType.GROUND_TRUTH) {\n                pairItem[boxType] = box;\n            }\n        });\n\n        return pairItem;\n    }\n\n    private createStatusIcon(isCorrect: boolean, detectionBbox: number[], imagePosition: ImagePositionInformation, options: IRectOptions) {\n        const padding = {\n            x: 3,\n            y: 4\n        };\n        const fontSizeRatio = 0.9\n        const SUCCESS_ICON = '\\uf058';\n        const FAIL_ICON = '\\uf00d';\n        const boxSize = Math.min(28, detectionBbox[2], detectionBbox[3]);\n        const bbox = [...detectionBbox];\n        bbox[2] = boxSize;\n        bbox[3] = boxSize;\n\n        const container = new fabric.Rect(Object.assign(BoxHelper.getBoxParams(bbox, imagePosition), options));\n        const text = new fabric.Text(isCorrect ? SUCCESS_ICON : FAIL_ICON, {\n            fill: '#222',\n            fontFamily: 'FontAwesome',\n            fontSize: boxSize * fontSizeRatio * imagePosition.scale,\n            originX: 'center',\n            originY: 'center',\n            top: imagePosition.top + imagePosition.scale * (bbox[1] + 0.5 * (padding.y + bbox[3])),\n            left: imagePosition.left + imagePosition.scale * (bbox[0] + 0.5 * (padding.x + bbox[2])),\n            strokeWidth: this.STROKE_WIDTH,\n        });\n\n        return [container, text];\n    }\n\n    togglePairSelection(pair: CanvasPairedItem) {\n        this.setPairSelection(pair, !pair.boxGrouping.data.selected);\n        pair.boxGrouping.canvas?.renderAll();\n    }\n\n    setPairSelection(pair: CanvasPairedItem, selected: boolean) {\n        const data = pair.boxGrouping.data;\n\n        data.selected = selected;\n\n        if (selected) {\n            const strokeWidth = this.getStrokeWidth(pair);\n\n            pair.boxGrouping.set({\n                visible: true\n            });\n            pair.groundTruth?.set({\n                visible: true,\n                strokeWidth\n            });\n            pair.detection?.set({\n                strokeWidth\n            });\n        } else {\n            this.resetPair(pair);\n        }\n    }\n\n    togglePairHover(pair: CanvasPairedItem) {\n        this.setPairHover(pair, !pair.boxGrouping.data.hovered);\n        pair.boxGrouping.canvas?.renderAll();\n    }\n\n    setPairHover(pair: CanvasPairedItem, hovered: boolean) {\n        const data = pair.boxGrouping.data;\n\n        data.hovered = hovered;\n\n        if (hovered) {\n            pair.boxGrouping.set({\n                visible: true\n            });\n            pair.groundTruth?.set({\n                visible: true\n            });\n\n            // increase stroke width even more if already selected\n            if (data.selected) {\n                const strokeWidth = this.getStrokeWidth(pair);\n\n                pair.groundTruth?.set({\n                    strokeWidth\n                });\n\n                pair.detection?.set({\n                    strokeWidth\n                });\n            }\n        } else {\n            this.resetPair(pair);\n        }\n    }\n\n    resetPair(pair: CanvasPairedItem) {\n        const data = pair.boxGrouping.data;\n        const strokeWidth = this.getStrokeWidth(pair);\n\n        if (!data.selected && !data.hovered) {\n            pair.boxGrouping.set({\n                visible: false\n            });\n        }\n\n        pair.groundTruth?.set({\n            strokeWidth\n        });\n\n        pair.detection?.set({\n            strokeWidth\n        });\n    }\n\n    private getStrokeWidth(pair: CanvasPairedItem) {\n        const data = pair.boxGrouping.data;\n        let strokeWidth = this.STROKE_WIDTH;\n\n        if (data.options?.selectedStrokeWidth) {\n            if (data.selected) {\n                strokeWidth = data.options?.selectedStrokeWidth + (data.hovered ? 1 : 0);\n            }\n        }\n\n        return strokeWidth;\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { BehaviorSubject, combineLatest, Observable } from 'rxjs';\nimport { debounceTime, map, switchMap } from 'rxjs/operators';\nimport { DeephubImagesDataService, ResolvedDeepHubPredictionCoreParams, SerializedMemTableV2, SerializedTableChunk } from 'src/generated-sources';\nimport { AbstractDeephubDataFetcherService, DeephubColumn, DeephubDataColumns } from '@features/deephub/services/abstract-deephub-data-fetcher.service';\nimport { DeephubReport, DeephubReportService } from './abstract-deephub-report.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { resolveSmartName } from '@utils/loc';\n\nexport interface DeephubResultsDataColumns extends DeephubDataColumns {\n    prediction: DeephubColumn,\n}\n\n@UntilDestroy()\n@Injectable()\nexport abstract class AbstractDeephubReportDataFetcherService<R extends DeephubReport, F extends DeephubImagesDataService.ComputerVisionPredictedFilter> extends AbstractDeephubDataFetcherService {\n    coreParams: ResolvedDeepHubPredictionCoreParams;\n    dataColumns: DeephubResultsDataColumns;\n\n    report$: Observable<R>;\n    filter$ = new BehaviorSubject<Partial<F> | null>(this.getDefaultFilter());\n    fetchTrigger$: Observable<[R, Partial<F> | null]>;\n\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        private reportService: DeephubReportService<R>,\n        currentRoute: CurrentRouteService,\n        private colorMapService: ColorMapContextService,\n        private COLOR_PALETTES: { [palette: string]: string[]; },\n    ) {\n        super();\n        this.projectKey = currentRoute.projectKey;\n        this.report$ = this.reportService.getReport().pipe(\n            debounceTime(400)\n        );\n\n        this.report$.\n            pipe(\n                untilDestroyed(this)\n            ).subscribe((report) => {\n                this.coreParams = report.coreParams;\n                this.managedFolderLoc = resolveSmartName(this.projectKey, report.coreParams.managedFolderSmartId);\n                this.colorMapService.setMapping(report.categories, this.COLOR_PALETTES.highContrast);\n\n                this.onDataChanged();\n            });\n\n        this.fetchTrigger$ = combineLatest([this.report$, this.filter$])\n            .pipe(\n                map(([report, filter]) => [report, filter ? this.combineReportFilter(report, filter as F) : filter]),\n            );\n    }\n\n    abstract combineReportFilter(report: R, filter: F): F;\n\n    abstract getDefaultFilter(): Partial<F>;\n\n    refreshSample(): Observable<SerializedMemTableV2> {\n        return this.fetchTrigger$\n            .pipe(\n                switchMap(([report, filter]) => this.DataikuAPI.analysis.refreshPredictedImagesDataSample(report.fullModelId, this.CHUNK_SIZE, filter || {})\n                    .pipe(\n                        map((result) => {\n                            this.onRefreshSample(result);\n                            return result;\n                        })\n                    )\n                )\n            );\n    }\n\n    getSampleChunk(firstRow: number, nbRows: number): Observable<SerializedTableChunk> {\n        return this.fetchTrigger$\n            .pipe(\n                switchMap(([report, filter]) => this.DataikuAPI.analysis.getPredictedImagesDataChunk(report.fullModelId, firstRow, nbRows, filter || {}))\n            );\n    }\n\n    setFilteredPair(filter: Partial<F> | null) {\n        this.filter$.next(filter);\n        this.onDataChanged();\n    }\n}\n","import { Inject, Injectable } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { DeepHubColumnFormat, DeephubImagesDataService } from 'src/generated-sources';\nimport { DeephubCellData, DeephubColumn } from '@features/deephub/services/abstract-deephub-data-fetcher.service';\nimport { DeephubObjectDetectionReportService, ObjectDetectionReport } from './deephub-object-detection-report.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubObjectDetectionReportPainterService } from './deephub-object-detection-report-painter.service';\nimport { AbstractDeephubReportDataFetcherService, DeephubResultsDataColumns } from '@features/deephub/computer-vision/report/services/abstract-deephub-report-data-fetcher.service';\n\nexport interface DeephubObjectDetectionReportCellData extends DeephubCellData {\n    target: DeepHubColumnFormat.ObjectDetectionTargetItem[];\n    prediction: DeepHubColumnFormat.ObjectDetectionPredictedItem[],\n    pairing: DeepHubColumnFormat.PairingItem[],\n    enrichedValid: DeepHubColumnFormat.EnrichedObjectDetectionPairedItem[],\n    enrichedFiltered: DeepHubColumnFormat.EnrichedObjectDetectionPairedItem[],\n}\n\nexport interface DeephubObjectDetectionResultsDataColumns extends DeephubResultsDataColumns {\n    pairing: DeephubColumn,\n    enrichedValid: DeephubColumn,\n    enrichedFiltered: DeephubColumn,\n}\n\n@UntilDestroy()\n@Injectable()\nexport class DeephubObjectDetectionReportDataFetcherService extends AbstractDeephubReportDataFetcherService<ObjectDetectionReport, DeephubImagesDataService.ObjectDetectionPredictedFilter> {\n    canvasPainter: DeephubObjectDetectionReportPainterService;\n\n    constructor(\n        DataikuAPI: DataikuAPIService,\n        objectDetectionService: DeephubObjectDetectionReportService,\n        canvasPainter: DeephubObjectDetectionReportPainterService,\n        currentRoute: CurrentRouteService,\n        colorMapService: ColorMapContextService,\n        @Inject('COLOR_PALETTES') COLOR_PALETTES: { [palette: string]: string[]; }\n    ) {\n        super(DataikuAPI, objectDetectionService, currentRoute, colorMapService, COLOR_PALETTES);\n        this.canvasPainter = canvasPainter;\n\n        this.filter$.pipe(\n            untilDestroyed(this)\n        ).subscribe(filter => {\n            this.canvasPainter.setClasses(filter?.groundTruth?.value, filter?.detection?.value);\n        });\n    }\n\n    getDefaultFilter(): Partial<DeephubImagesDataService.ObjectDetectionPredictedFilter> {\n        return { sorting: {sortBy: DeephubImagesDataService.SortBy.IOU, ascending: false}};\n    }\n\n    combineReportFilter(report: ObjectDetectionReport, filter: DeephubImagesDataService.ObjectDetectionPredictedFilter): DeephubImagesDataService.ObjectDetectionPredictedFilter {\n        filter.minIOU = report.iou;\n        filter.minConfidence = report.confidenceThreshold!;\n        filter.type = \"DEEP_HUB_IMAGE_OBJECT_DETECTION\";\n        return filter;\n    }\n\n    createDataColumns(orderedColumns: string[]): DeephubObjectDetectionResultsDataColumns {\n        const columns: DeephubObjectDetectionResultsDataColumns = {\n            target: {\n                name: this.coreParams.target_variable\n            },\n            itemPath: {\n                name: this.coreParams.pathColumn\n            },\n            prediction: {\n                name: 'prediction',\n            },\n            pairing: {\n                name: 'pairing',\n            },\n            enrichedValid: {\n                name: 'enrichedValid',\n            },\n            enrichedFiltered: {\n                name: 'enrichedFiltered'\n            }\n        };\n\n        this.addColumnIndices(columns, orderedColumns);\n\n        return columns;\n    }\n\n    rowToCellData(rowContent: string[], i: number, j: number): DeephubObjectDetectionReportCellData {\n        const columns = this.dataColumns as DeephubObjectDetectionResultsDataColumns;\n        return {\n            itemPath: rowContent[columns.itemPath.index!],\n            target: JSON.parse(rowContent[columns.target.index!]),\n            prediction: JSON.parse(rowContent[columns.prediction.index!]),\n            pairing: JSON.parse(rowContent[columns.pairing.index!]),\n            enrichedValid: JSON.parse(rowContent[columns.enrichedValid.index!]),\n            enrichedFiltered: JSON.parse(rowContent[columns.enrichedFiltered.index!]),\n            imageId: i\n        };\n    }\n}\n","<div\n    echarts\n    class=\"chart\"\n    *ngIf=\"chartOptions$ | async as chartOptions\"\n    [options]=\"chartOptions\"\n    >\n</div>\n","import { Component, OnInit, ChangeDetectionStrategy } from '@angular/core';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { EChartsOption } from 'echarts';\nimport { Observable } from 'rxjs';\nimport { debounceTime, distinctUntilChanged, map } from 'rxjs/operators';\nimport { DeepHubPredictionModelPerf } from 'src/generated-sources';\nimport { DeephubObjectDetectionReportService } from '../services/deephub-object-detection-report.service';\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-object-detection-report-precision-recall-chart',\n    templateUrl: './deephub-object-detection-report-precision-recall-chart.component.html',\n    styleUrls: ['./deephub-object-detection-report-precision-recall-chart.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubObjectDetectionReportPrecisionRecallChartComponent implements OnInit {\n    chartOptions$: Observable<EChartsOption>;\n\n    constructor(\n        private objectDetectionService: DeephubObjectDetectionReportService\n    ) { }\n\n    ngOnInit(): void {\n        this.chartOptions$ = this.objectDetectionService.getReport()\n            .pipe(\n                debounceTime(400),\n                distinctUntilChanged((prev, curr) => prev.iou === curr.iou),\n                map(report => this.buildChartOptions(report.perf, report.iou))\n            )\n    }\n\n    buildChartOptions(data: DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf, iou: number): EChartsOption {\n        const perIOU = data.perIOU.find(data => data.iou === iou);\n        const curveData = perIOU!.precisionRecallCurve.curve;\n\n        return {\n            tooltip: {\n                trigger: 'item',\n                formatter: (param: any) => {\n                    return `\n                        <strong>Recall</strong>: ${curveData.recall[param.dataIndex].toFixed(4)}<br />\n                        <strong>Precision</strong>: ${curveData.precision[param.dataIndex].toFixed(4)}<br />\n                        <strong>F1</strong>: ${curveData.f1[param.dataIndex].toFixed(4)}<br />\n                        <strong>Confidence</strong>: ${curveData.confidence[param.dataIndex].toFixed(4)}\n                    `;\n                }\n            },\n            grid: { left: 30, top: 16, right: 16, bottom: 30, containLabel: true },\n            xAxis: [\n                {\n                    type: 'value',\n                    name: 'Recall',\n                    nameLocation: 'middle',\n                    nameGap: 30,\n                    axisLabel: {\n                        formatter\n                    }\n                }\n            ],\n            yAxis: [\n                {\n                    type: 'value',\n                    name: 'Precision',\n                    nameLocation: 'middle',\n                    nameGap: 40,\n                    axisLabel: {\n                        formatter\n                    }\n                }\n            ],\n            series: [\n                {\n                    type: 'line',\n                    showSymbol: true,\n                    data: curveData.recall.map((recall, index) => [recall, curveData.precision[index]])\n                }\n            ]\n        };\n\n        function formatter(value: number) {\n            return value * 100 + '%';\n        }\n    }\n}\n","import { OnInit } from '@angular/core';\nimport { FormBuilder, FormControl } from '@angular/forms';\nimport { Observable } from 'rxjs';\nimport { debounceTime, map } from 'rxjs/operators';\nimport { HeatmapParams } from 'src/generated-sources';\nimport { DeephubReport, DeephubReportService } from '../services/abstract-deephub-report.service';\n\nexport interface MatrixData {\n    data: number[][];\n    xCategories: string[];\n    yCategories: string[];\n    params: HeatmapParams\n}\n\nexport abstract class DeephubAbstractReportConfusionMatrixComponent<R extends DeephubReport, S extends DeephubReportService<R>, > implements OnInit {\n    matrix$: Observable<MatrixData>;\n    filterMatrix$: Observable<MatrixData>;\n    categories: string[] = [];\n    filteredCategoryMap$: Observable<{\n        [key: string]: boolean\n    }>;\n\n    readonly NO_DETECTION_LABEL = 'Not Detected';\n    readonly NO_GROUND_TRUTH_LABEL = 'Not an object';\n\n    form = this.formBuilder.group({\n        selectedCategories: new FormControl()\n    })\n\n    constructor(\n        protected reportService: S,\n        private formBuilder: FormBuilder\n    ) { }\n\n    ngOnInit(): void {\n        this.matrix$ = this.reportService.getReport()\n            .pipe(\n                debounceTime(400),\n                map(report => this.createMatrix(report)\n            )\n        );\n\n        this.filteredCategoryMap$ = this.form.get('selectedCategories')!.valueChanges.pipe(\n            map((selectedCategories: string[]) => {\n                return (selectedCategories || []).reduce((map: { [key: string]: boolean }, category: string) => {\n                    map[category] = true;\n                    return map;\n                }, {});\n            })\n        );\n    }\n\n    abstract matrixClick(clickedCell: { xIndex: number, yIndex: number} | null): void;\n\n    abstract createMatrix(report: R): MatrixData;\n}\n","<table>\n    <tr>\n        <td class=\"matrix-enclosing\">\n            <div class=\"matrix-enclosing\">\n                <table *ngIf=\"xVariablesWithValues && yVariablesWithValues && xVariablesWithValues.length && yVariablesWithValues.length\" class=\"matrix-table\"\n                    (mouseleave)=\"mouseOutScale()\"\n                    [class.table-border-colors]=\"!heatmapParams.showColors\"\n                    [class.table-border-nocolors]=\"heatmapParams.showColors\"\n                    #tableHeatmap\n                >\n                    <tbody>\n                        <tr *ngFor=\"let yname of maskedYLabels; index as yindex; trackBy: trackByIndex\">\n                            <td (click)=\"sortForY(yindex)\"\n                                [class.table-border-colors]=\"!heatmapParams.showColors && !horizontalCross(-1, yindex)\"\n                                [class.table-border-nocolors]=\"heatmapParams.showColors && !horizontalCross(-1, yindex)\"\n                                class=\"ylabel-cell\"\n                                [qa]=\"{'eda-heatmap-row-label': {variable: yname }}\"\n                                [class.horizontal-cross-colors]=\"heatmapParams.showColors && horizontalCross(-1, yindex)\"\n                                [class.horizontal-cross-nocolors]=\"!heatmapParams.showColors && horizontalCross(-1, yindex)\"\n                            >\n                                <span class=\"ylabel\" title=\"{{yname}}\">{{yname}}</span>\n                                <b *ngIf=\"showAscendingArrowY(yindex)\" class=\"caret rotate-left align-caret\"></b>\n                                <b *ngIf=\"showDescendingArrowY(yindex)\" class=\"caret rotate-right align-caret\"></b>\n                            </td>\n                            <td *ngFor=\"let xname of maskedXLabels; index as xindex; trackBy: trackByIndex\"\n                                title=\"{{yname}} on {{xname}} : {{maskedDataOrWarning(xindex,yindex)}}\"\n                                [style.background-color]=\"maskedColors[xindex][yindex]\"\n                                [style.color]=\"textColor(maskedData[xindex][yindex])\"\n                                [class.table-border-colors]=\"!heatmapParams.showColors && !horizontalCross(xindex, yindex) && !verticalCross(xindex, yindex)\"\n                                [class.table-border-nocolors]=\"heatmapParams.showColors && !horizontalCross(xindex, yindex) && !verticalCross(xindex, yindex)\"\n                                [class.horizontal-cross-colors]=\"heatmapParams.showColors &&  horizontalCross(xindex, yindex)\"\n                                [class.vertical-cross-colors]=\"heatmapParams.showColors && verticalCross(xindex, yindex)\"\n                                [class.horizontal-cross-nocolors]=\"!heatmapParams.showColors && horizontalCross(xindex, yindex)\"\n                                [class.vertical-cross-nocolors]=\"!heatmapParams.showColors && verticalCross(xindex, yindex)\"\n                                [class.unavailable-result]=\"null == maskedData[xindex][yindex]\"\n                                (mouseenter)=\"mouseOverValue(maskedData[xindex][yindex])\"\n                                class=\"matrix-value\"\n                                (click)=\"cross(xindex,yindex)\"\n                                >\n                                {{ heatmapParams.showValues ? displayValue(maskedData[xindex][yindex]) : '' }}\n                            </td>\n                        </tr>\n                    </tbody>\n                    <tfoot>\n                        <tr>\n                            <td></td>\n                            <td *ngFor=\"let xname of maskedXLabels; index as xindex; trackBy: trackByIndex\" (click)=\"sortForX(xindex)\"\n                                [class.table-border-colors]=\"!heatmapParams.showColors && !verticalCross(xindex, -1)\"\n                                [class.table-border-nocolors]=\"heatmapParams.showColors && !verticalCross(xindex, -1)\"\n                                [qa]=\"{'eda-heatmap-column-label': {variable: xname }}\"\n                                [class.vertical-cross-colors]=\"heatmapParams.showColors && verticalCross(xindex, -1)\"\n                                [class.vertical-cross-nocolors]=\"!heatmapParams.showColors && verticalCross(xindex, -1)\"\n                            >\n                                <div class=\"pull-right\">\n                                    <b *ngIf=\"showAscendingArrowX(xindex)\" class=\"caret vertical-mirror align-caret\"></b>\n                                    <b *ngIf=\"showDescendingArrowX(xindex)\" class=\"caret align-caret\"></b>\n                                </div>\n                                <span [title]=\"xname\"  class=\"xlabel\">{{xname}}</span>\n                            </td>\n                        </tr>\n                    </tfoot>\n                </table>\n                <p class=\"no-values-displayed\" *ngIf=\"!xVariablesWithValues || !yVariablesWithValues || !xVariablesWithValues.length || !yVariablesWithValues.length\">(all values are filtered)</p>\n            </div>\n        </td>\n        <td>\n            <canvas [hidden]=\"!heatmapParams.showColors\"\n                class=\"scale-canvas\" #scaleCanvas\n                (mousemove)=\"mouseOverScale($event)\"\n                (mouseout)=\"mouseOutScale()\"></canvas>\n        </td>\n    </tr>\n</table>\n","import { Component, Input, OnChanges, SimpleChanges, ElementRef, ViewChild, Output, EventEmitter, AfterViewInit } from '@angular/core';\nimport _ from 'lodash';\nimport d3 from 'd3';\nimport { HeatmapParams } from '@model-main/eda/worksheets/cards/common/heatmap-params';\n\nconst NO_SORT = -1;\nconst SCALEBAR_VERTICAL_MARGIN = 12;\nconst CANVAS_WIDTH = 70;\nconst ZERO_PLUS_MINUS_OFFSET = 4;\nconst ZERO_PLUS_MINUS_VERTICAL_MARGIN = 20;\nconst CANVAS_COLORSCALE_OFFSET = 15;\nconst CANVAS_COLORSCALE_WIDTH = 10;\n\n@Component({\n    selector: 'heatmap',\n    templateUrl: './heatmap.component.html',\n    styleUrls: ['./heatmap.component.less']\n})\nexport class HeatmapComponent implements OnChanges {\n    @Input() xLabels: string[];\n    @Input() yLabels: string[];\n    @Input() data: (number | null)[][];\n    @Input() warnings: (string | null)[][];\n    @Input() readOnly: boolean;\n    @Input() ignoreDiagonal = false;\n    @Input() heatmapParams: HeatmapParams; // heatmap visualization params adjustable by the user\n\n    @ViewChild('scaleCanvas', { static: true }) scaleCanvasRef: ElementRef;\n\n    dataMin: number;\n    dataMax: number;\n    dataMaxMin: number; // dataMax - dataMin\n\n    xVariablesWithValues: number[];\n    yVariablesWithValues: number[];\n\n    xMask: number[]; // mask to sort according to the order of values for a given x\n    yMask: number[]; // mask to sort according to the order of values for a given y\n\n    maskedXLabels: string[]; // labels ordered according to current sort\n    maskedYLabels: string[]; // labels ordered according to current sort\n    maskedData: (number | null)[][];\n    maskedColors: (string | null)[][];\n    maskedWarnings: (string | null)[][];\n\n    lastXSort: number = NO_SORT; // last X column data was sorted according to. -1 == no sort\n    lastYSort: number = NO_SORT; // last Y row data was sorted according to. -1 == no sort\n    lastXSortAscending: boolean;\n    lastYSortAscending: boolean;\n\n    canvasHeight: number;\n    scaleBarHeight: number;\n\n    xCrossMasked = -1;\n    yCrossMasked = -1;\n\n    valueTransformer = (v: null | number): number => v || 0;\n\n    constructor() {\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.data) {\n            const flattenedData = _.flatten(this.data);\n            const tmpMin = _.min(flattenedData) || 0;\n            const tmpMax = _.max(flattenedData) || 0;\n            this.dataMax = Math.max(Math.abs(tmpMin), Math.abs(tmpMax));\n            this.dataMin = -this.dataMax;\n            this.dataMaxMin = this.dataMax - this.dataMin;\n        }\n\n        if (changes.data || changes.heatmapParams) {\n            if (this.heatmapParams.filterVariablesWithoutValues) {\n                this.xVariablesWithValues = [];\n                for (let x = 0 ; x < this.data.length ; x++) {\n                    const curVariable = this.data[x];\n                    for (let y = 0 ; y < curVariable.length ; y++) {\n                        const curVal = curVariable[y];\n                        if (curVal && Math.abs(curVal) >= this.heatmapParams.threshold\n                            && !((x === y) && this.ignoreDiagonal)) {\n                            this.xVariablesWithValues.push(x);\n                            break;\n                        }\n                    }\n                }\n                this.yVariablesWithValues = [];\n                for (let y = 0 ; y < this.data[0].length ; y++) {\n                    for (let x = 0 ; x < this.data.length ; x++) {\n                        const curVal = this.data[x][y];\n                        if (curVal && Math.abs(curVal) >= this.heatmapParams.threshold\n                            && !((x === y) && this.ignoreDiagonal)) {\n                            this.yVariablesWithValues.push(y);\n                            break;\n                        }\n                    }\n                }\n            } else {\n                this.xVariablesWithValues = Array.from(Array(this.data.length).keys());\n                this.yVariablesWithValues = Array.from(Array(this.data[0].length).keys());\n            }\n        }\n\n        if (this.heatmapParams.showAbsValues) {\n            this.valueTransformer = v => Math.abs(v || 0);\n        } else {\n            this.valueTransformer = v => v || 0;\n        }\n\n        if (changes.xLabels || changes.yLabels || changes.data || changes.heatmapParams) {\n            this.initMasks();\n            this.applyMasks();\n        }\n\n        if (this.scaleCanvasRef) {\n            this.drawScales();\n        }\n    }\n\n    reset(): void {\n        this.lastXSort = NO_SORT;\n        this.lastYSort = NO_SORT;\n        this.lastXSortAscending = false;\n        this.lastYSortAscending = false;\n        this.initMasks();\n        this.applyMasks();\n    }\n\n    resetable(): boolean {\n        return (this.lastXSort !== NO_SORT) || (this.lastYSort !== NO_SORT);\n    }\n\n    initMasks(): void {\n        // sequence 0..Nx-1\n        this.xMask = this.xVariablesWithValues.slice();\n        this.yMask = this.yVariablesWithValues.slice();\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n\n    applyMasks(): void {\n        this.maskedXLabels = this.xMask.map(i => this.xLabels[i]);\n        this.maskedYLabels = this.yMask.map(i => this.yLabels[i]);\n\n        this.maskedData = [];\n        this.maskedColors = [];\n        this.maskedWarnings = [];\n        for (let x = 0; x < this.xMask.length; x++) {\n            this.maskedData[x] = [];\n            this.maskedColors[x] = [];\n            this.maskedWarnings[x] = [];\n            for (let y = 0; y < this.yMask.length; y++) {\n                this.maskedData[x][y] = this.data[this.xMask[x]][this.yMask[y]];\n                this.maskedColors[x][y] = this.color(this.maskedData[x][y]);\n                this.maskedWarnings[x][y] = this.warnings?this.warnings[this.xMask[x]][this.yMask[y]]:null;\n            }\n        }\n    }\n\n    color(param: number | null): string {\n        if (param == null) {\n            return `rgb(210, 210, 210)`;\n        } else if (this.heatmapParams.showColors && (Math.abs(param || 0) >= this.heatmapParams.threshold)) {\n            return this.computeColor(param);\n        } else {\n            return `rgb(255, 255, 255)`;\n        }\n    }\n\n    computeColor(param: number | null): string {\n        return d3.scale.linear<string>()\n            .domain([this.dataMin, 0, this.dataMax])\n            .range(['#323dff', '#FFFFFF', '#CC2222']) // color scale is the same as div.heat-gradient\n            (this.valueTransformer(param));\n    }\n\n    textColor(param: number | null): string {\n        if (param == null) {\n            return `rgb(0, 0, 0)`;\n        } else if (this.heatmapParams.showColors && Math.abs(param) > 0.5) {\n            return `rgb(255,255,255)`;\n        } else {\n            return `rgb(0,0,0)`;\n        }\n    }\n\n    showAscendingArrowX(xindex: number): boolean {\n        return (xindex === this.lastXSort) && this.lastXSortAscending;\n    }\n\n    showDescendingArrowX(xindex: number): boolean {\n        return (xindex === this.lastXSort) && !this.lastXSortAscending;\n    }\n\n    showAscendingArrowY(yindex: number): boolean {\n        return (yindex === this.lastYSort) && this.lastYSortAscending;\n    }\n\n    showDescendingArrowY(yindex: number): boolean {\n        return (yindex === this.lastYSort) && !this.lastYSortAscending;\n    }\n\n    sortForX(xindex: number): void {\n        if (xindex === this.lastXSort) {\n            if (this.lastXSortAscending) {\n                this.lastXSort = NO_SORT;\n                this.yMask = this.yVariablesWithValues.slice();\n            } else {\n                this.yMask = this.yMask.slice().reverse();\n                this.lastXSortAscending = !this.lastXSortAscending;\n                if (this.lastYSort !== NO_SORT) {\n                    this.lastYSort = this.yMask.length - 1 - this.lastYSort;\n                }\n            }\n        } else {\n            // extract values for this line\n            const valuesToSort = this.maskedData[xindex];\n            // take a copy and store original index\n            const valuesToSortWithOriIndex = valuesToSort.map((v, i) => ({ v: this.valueTransformer(v), i }));\n            // sort according to value\n            valuesToSortWithOriIndex.sort((y1, y2) => y1.v - y2.v);\n\n            // got to update lastYSort according to new sorting\n            // first phase, setting it to the real, masked value\n            if (this.lastYSort !== NO_SORT) {\n                this.lastYSort = this.yMask[this.lastYSort];\n            }\n\n            // get the mask\n            this.yMask = valuesToSortWithOriIndex.map(v => this.yMask[v.i]);\n\n            // second phase : find index of the real, masked value, in mask\n            if (this.lastYSort !== NO_SORT) {\n                this.lastYSort = this.yMask.indexOf(this.lastYSort);\n            }\n\n            this.lastXSort = xindex;\n            this.lastXSortAscending = false;\n        }\n        this.applyMasks();\n    }\n\n    sortForY(yindex: number): void {\n        if (yindex === this.lastYSort) {\n            if (this.lastYSortAscending) {\n                this.lastYSort = NO_SORT;\n                this.xMask = this.xVariablesWithValues.slice();\n            } else {\n                this.xMask = this.xMask.slice().reverse();\n                this.lastYSortAscending = !this.lastYSortAscending;\n                if (this.lastXSort !== NO_SORT) {\n                    this.lastXSort = this.xMask.length - 1 - this.lastXSort;\n                }\n            }\n        } else {\n            // extract values for this line\n            const valuesToSort = [];\n            for (let x = 0; x < this.xMask.length; x++) {\n                valuesToSort.push(this.valueTransformer(this.maskedData[x][yindex]));\n            }\n            const valuesToSortWithOriIndex = valuesToSort.map((v, i) => { return { v, i } });\n            // sort according to value\n            valuesToSortWithOriIndex.sort((x1, x2) => x1.v - x2.v);\n\n            // got to update lastXSort according to new sorting\n            // first phase, setting it to the real, masked value\n            if (this.lastXSort !== NO_SORT) {\n                this.lastXSort = this.xMask[this.lastXSort];\n            }\n            // get the mask\n            this.xMask = valuesToSortWithOriIndex.map(v => this.xMask[v.i]);\n\n            // second phase : find index of the real, masked value, in mask\n            if (this.lastXSort !== NO_SORT) {\n                this.lastXSort = this.xMask.indexOf(this.lastXSort);\n            }\n\n            this.lastYSort = yindex;\n            this.lastYSortAscending = false;\n        }\n        this.applyMasks();\n    }\n\n    drawScales(): void {\n        const canvas: HTMLCanvasElement = this.scaleCanvasRef.nativeElement! as HTMLCanvasElement;\n        const dpr = window.devicePixelRatio || 1;\n        const rect = canvas.getBoundingClientRect();\n\n        this.canvasHeight = rect.height;\n        canvas.width = CANVAS_WIDTH * dpr;\n        canvas.height = this.canvasHeight * dpr;\n        canvas.style.width = CANVAS_WIDTH + 'px';\n        canvas.style.height = this.canvasHeight + 'px';\n        this.scaleBarHeight = this.canvasHeight - 2 * SCALEBAR_VERTICAL_MARGIN;\n\n        const ctx: CanvasRenderingContext2D = canvas.getContext('2d')!;\n        ctx.scale(dpr, dpr);\n        ctx.fillStyle = 'rgb(255,255,255)';\n        ctx.clearRect(0, 0, CANVAS_WIDTH, this.canvasHeight);\n\n        if (!this.heatmapParams.showAbsValues) {\n            const increment = this.dataMaxMin / this.scaleBarHeight;\n            for (let i = 0; i < this.scaleBarHeight; i++) {\n                const v = this.dataMax - increment * i;\n                ctx.fillStyle = this.computeColor(v);\n                ctx.fillRect(CANVAS_COLORSCALE_OFFSET, SCALEBAR_VERTICAL_MARGIN + i, CANVAS_COLORSCALE_WIDTH - 1, 1);\n            }\n\n            const y0 = this.canvasHeight / 2;\n            const yM = this.canvasHeight - ZERO_PLUS_MINUS_VERTICAL_MARGIN;\n            const yP = ZERO_PLUS_MINUS_VERTICAL_MARGIN;\n            ctx.fillStyle = 'rgb(0,0,0)';\n            ctx.fillText('0', ZERO_PLUS_MINUS_OFFSET, y0);\n            ctx.fillText('+', ZERO_PLUS_MINUS_OFFSET, yP);\n            ctx.fillText('-', ZERO_PLUS_MINUS_OFFSET, yM);\n        } else {\n            const increment = this.dataMax / this.scaleBarHeight;\n            for (let i = 0; i < this.scaleBarHeight; i++) {\n                const v = this.dataMax - increment * i;\n                ctx.fillStyle = this.computeColor(v);\n                ctx.fillRect(CANVAS_COLORSCALE_OFFSET, SCALEBAR_VERTICAL_MARGIN + i, CANVAS_COLORSCALE_WIDTH - 1, 1);\n            }\n\n            const y0 = this.canvasHeight - ZERO_PLUS_MINUS_VERTICAL_MARGIN;\n            const yP = ZERO_PLUS_MINUS_VERTICAL_MARGIN;\n            ctx.fillStyle = 'rgb(0,0,0)';\n            ctx.fillText('0', ZERO_PLUS_MINUS_OFFSET, y0);\n            ctx.fillText('+', ZERO_PLUS_MINUS_OFFSET, yP);\n        }\n    }\n\n    mouseOverScale(event: MouseEvent): void {\n        if (!this.heatmapParams.showColors) {\n            return;\n        }\n        let y = event.offsetY;\n\n        const canvas: HTMLCanvasElement = this.scaleCanvasRef.nativeElement! as HTMLCanvasElement;\n        const ctx: CanvasRenderingContext2D = canvas.getContext('2d')!;\n        ctx.clearRect(CANVAS_COLORSCALE_OFFSET + CANVAS_COLORSCALE_WIDTH + 1, 0, CANVAS_WIDTH - CANVAS_COLORSCALE_WIDTH, this.canvasHeight);\n\n        if (y < SCALEBAR_VERTICAL_MARGIN) {\n            y = SCALEBAR_VERTICAL_MARGIN;\n        } else if (y > this.canvasHeight - SCALEBAR_VERTICAL_MARGIN) {\n            y = this.canvasHeight - SCALEBAR_VERTICAL_MARGIN;\n        }\n\n\n        let increment;\n        if (!this.heatmapParams.showAbsValues) {\n            increment = this.dataMaxMin / this.scaleBarHeight;\n        } else {\n            increment = this.dataMax / this.scaleBarHeight;\n        }\n        let v = this.dataMax - increment * (y - SCALEBAR_VERTICAL_MARGIN);\n        if (this.heatmapParams.showAbsValues) {\n            // avoid printing -0,000\n            v = Math.max(0, v);\n        }\n\n        this.drawValueOnScale(v, y);\n    }\n\n    mouseOverValue(v: number | null): void {\n        const canvas: HTMLCanvasElement = this.scaleCanvasRef.nativeElement! as HTMLCanvasElement;\n        const ctx: CanvasRenderingContext2D = canvas.getContext('2d')!;\n        ctx.clearRect(CANVAS_COLORSCALE_OFFSET + CANVAS_COLORSCALE_WIDTH + 1, 0, CANVAS_WIDTH - CANVAS_COLORSCALE_WIDTH, this.canvasHeight);\n\n        if (!this.heatmapParams.showColors || null == v) {\n            return;\n        }\n        let increment: number;\n        if (!this.heatmapParams.showAbsValues) {\n            increment = this.dataMaxMin / this.scaleBarHeight;\n        } else {\n            increment = this.dataMax / this.scaleBarHeight;\n        }\n        const y = SCALEBAR_VERTICAL_MARGIN + (this.dataMax - this.valueTransformer(v)) / increment;\n\n        this.drawValueOnScale(this.valueTransformer(v), y);\n    }\n\n    drawValueOnScale(v: number, y: number): void {\n        const canvas: HTMLCanvasElement = this.scaleCanvasRef.nativeElement! as HTMLCanvasElement;\n        const ctx: CanvasRenderingContext2D = canvas.getContext('2d')!;\n        ctx.fillStyle = 'rgb(0,0,0)';\n        ctx.font = '400 1.2em SourceSansPro';\n        ctx.fillText(v.toFixed(3), CANVAS_COLORSCALE_OFFSET + CANVAS_COLORSCALE_WIDTH + 2, y)\n        ctx.fillStyle = this.computeColor(v);\n        ctx.fillRect(CANVAS_COLORSCALE_OFFSET + CANVAS_COLORSCALE_WIDTH + 2, y + 10, CANVAS_WIDTH - CANVAS_COLORSCALE_WIDTH - 4, 10);\n    }\n\n    mouseOutScale(): void {\n        if (!this.heatmapParams.showColors) {\n            return;\n        }\n        const canvas: HTMLCanvasElement = this.scaleCanvasRef.nativeElement! as HTMLCanvasElement;\n        const ctx: CanvasRenderingContext2D = canvas.getContext('2d')!;\n        ctx.clearRect(CANVAS_COLORSCALE_OFFSET + CANVAS_COLORSCALE_WIDTH + 1, 0, CANVAS_WIDTH - CANVAS_COLORSCALE_WIDTH, this.canvasHeight);\n    }\n\n\n    displayValue(v: number | null): string {\n        if (null == v) {\n            if (!this.heatmapParams.showColors) {\n                return 'N/A';\n            } else {\n                return '';\n            }\n        } else if (Math.abs(v) >= this.heatmapParams.threshold) {\n            return this.valueTransformer(v).toFixed(3);\n        } else {\n            return '';\n        }\n    }\n\n    maskedDataOrWarning(x: number, y: number) {\n        if (this.maskedData[x][y]) {\n            return this.maskedData[x][y];\n        }\n        return this.maskedWarnings[x][y];\n    }\n\n    cross(x: number, y: number) {\n        const xMasked = this.xMask[x];\n        const yMasked = this.yMask[y];\n        if ( (this.xCrossMasked === xMasked) && (this.yCrossMasked === yMasked) ) {\n            this.xCrossMasked = -1;\n            this.yCrossMasked = -1;\n        } else {\n            this.xCrossMasked = xMasked;\n            this.yCrossMasked = yMasked;\n        }\n    }\n\n    horizontalCross(x: number, y: number) {\n        const xMasked = this.xMask[x];\n        const yMasked = this.yMask[y];\n        return ((this.yCrossMasked !== -1) && (xMasked !== this.xCrossMasked) && (yMasked === this.yCrossMasked));\n    }\n\n    verticalCross(x: number, y: number) {\n        const xMasked = this.xMask[x];\n        const yMasked = this.yMask[y];\n        return ((this.xCrossMasked !== -1) && (xMasked === this.xCrossMasked) && (yMasked !== this.yCrossMasked));\n    }\n}\n","<div class=\"matrix mx-center-children\" #container>\n    <div class=\"matrix__body\" #matrix>\n        <table *ngIf=\"xVariablesWithValues && yVariablesWithValues && xVariablesWithValues.length && yVariablesWithValues.length\">\n            <thead>\n                <tr>\n                    <th class=\"label-name label-headers\">\n                        {{ yHeaderLabel }}\n                        <div class=\"label-headers__x matrix-table__column-header-background\">\n                            <span class=\"matrix-table__column-header-text\">\n                                {{ xHeaderLabel }}\n                            </span>\n                        </div>\n                    </th>\n                    <ng-container *ngFor=\"let xname of maskedXLabels; index as xindex; trackBy: trackByIndex\">\n                        <th *ngIf=\"isLabelFiltered(xname)\" (click)=\"clickCell(xindex, -1)\"\n                            class=\"matrix-value matrix-table__column-header matrix-table__cell\"\n                        >\n                            <div [title]=\"xname\" class=\"xlabel matrix-table__column-header-background\" [class.matrix-table__cell--vertical]=\"xIsSelected(xindex)\"\n                            >\n                                <span class=\"matrix-table__column-header-text mx-textellipsis\">\n                                    {{ xname }}\n                                </span>\n                            </div>\n                        </th>\n                    </ng-container>\n                </tr>\n            </thead>\n            <tbody>\n                <ng-container *ngFor=\"let yname of maskedYLabels; index as yindex; trackBy: trackByIndex\">\n                    <tr *ngIf=\"isLabelFiltered(yname)\">\n                        <th (click)=\"clickCell(-1, yindex)\"\n                            class=\"matrix-table__cell label-name matrix-table__row-header mx-textellipsis\"\n                            [class.matrix-table__cell--horizontal]=\"yIsSelected(yindex)\"\n                        >\n                            <span class=\"ylabel\" title=\"{{yname}}\">{{yname}}</span>\n                        </th>\n                        <ng-container *ngFor=\"let xname of maskedXLabels; index as xindex; trackBy: trackByIndex\">\n                            <td *ngIf=\"isLabelFiltered(xname)\"\n                                [style.background-color]=\"maskedColors[xindex][yindex]\"\n                                [class.matrix-table__cell--vertical]=\"xIsSelected(xindex)\"\n                                [class.matrix-table__cell--horizontal]=\"yIsSelected(yindex)\"\n                                class=\"matrix-value matrix-table__cell\"\n                                (click)=\"clickCell(xindex, yindex)\"\n                                (mousemove)=\"hoverCell($event, xindex, yindex)\"\n                                (mouseover)=\"positionPopover($event)\"\n                                (mouseout)=\"hidePopover()\"\n                            ></td>\n                        </ng-container>\n                    </tr>\n                </ng-container>\n            </tbody>\n            \n        </table>\n    \n        <div class=\"matrix-popover\" \n            #popover \n            *ngIf=\"hoveredCell\"\n            [class.matrix-popover--visible]=\"isPopoverVisible\" \n            [style.transform]=\"'translate(' + popoverOffsetLeft + 'px' + ', ' + popoverOffsetTop + 'px)'\" \n            [style.width]=\"popoverWidth + 'px'\" \n            [style.height]=\"popoverHeight + 'px'\"\n        >\n            <ng-container [ngTemplateOutlet]=\"popoverTemplate || defaultTemplate\" [ngTemplateOutletContext]=\"{ xLabel: hoveredCell.xLabel, yLabel: hoveredCell.yLabel, value: hoveredCell.value }\"></ng-container>\n        </div>\n    \n        <ng-template #defaultTemplate let-xLabel=\"xLabel\" let-yLabel=\"yLabel\" let-value=\"value\">\n            {{ yLabel }} on <li>{{ xLabel}}</li>: <strong>{{ value }}</strong> \n        </ng-template>\n    </div>\n</div>\n","import { Component, OnInit, ChangeDetectionStrategy, ViewChild, ElementRef, HostListener, Output, EventEmitter, TemplateRef, Input } from '@angular/core';\nimport { HeatmapComponent } from '../heatmap/heatmap.component';\nimport d3 from 'd3';\nimport _ from 'lodash';\n\n@Component({\n  selector: 'confusion-matrix',\n  templateUrl: './confusion-matrix.component.html',\n  styleUrls: ['./confusion-matrix.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ConfusionMatrixComponent extends HeatmapComponent implements OnInit {\n    @Input() xHeaderLabel: string;\n    @Input() yHeaderLabel: string;\n    @Input() filteredLabelMap: {\n        [key: string]: boolean\n    } = {};\n    @Input() popoverTemplate: TemplateRef<any>;\n    @Input() popoverWidth = 225;\n    @Input() popoverHeight = 115;\n    @Output() cellClicked = new EventEmitter<{xIndex: number, yIndex: number} | null>();\n    @ViewChild('container', { static: true }) container: ElementRef;\n    @ViewChild('matrix', { static: true }) matrix: ElementRef;\n\n    popoverOffsetTop: number;\n    popoverOffsetLeft: number;\n    isPopoverVisible: boolean = false;\n    hoveredCell: {\n        xLabel: string,\n        yLabel: string,\n        value: any\n    };\n    selectedCell: {\n        xIndex: number,\n        yIndex: number\n    } | null;\n    private popoverPositionX = 'right';\n    private popoverPositionY = 'bottom';\n    private popoverMargin = 8;\n\n    @HostListener('document:click', ['$event']) outsideClicked() {\n        // Click outside of the menu was detected\n        this.hidePopover();\n    }\n\n    constructor() { \n        super();\n    }\n\n    ngOnInit(): void {\n        \n    }\n\n    computeColor(param: number | null): string {\n        return d3.scale.log<string>()\n            .domain([1, this.dataMax])\n            .range(['#FFFFFF', '#323dff']) // color scale is the same as div.heat-gradient\n            (param || 1); // log scale cannot include 0\n    }\n\n    clickCell(xIndex: number, yIndex: number) {\n        if (this.selectedCell && this.selectedCell.xIndex === xIndex && this.selectedCell.yIndex === yIndex) {\n            this.selectedCell = null;\n        } else {\n            this.selectedCell = {\n                xIndex,\n                yIndex\n            };\n        }\n        this.cellClicked.emit(this.selectedCell);\n    }\n\n    hoverCell(event: MouseEvent, xIndex: number, yIndex: number) {\n        const cell = event.target as HTMLElement;\n        this.popoverOffsetTop = cell.offsetTop + event.offsetY + (this.popoverPositionY === 'top' ? -this.popoverHeight - this.popoverMargin : 0 + this.popoverMargin);\n        this.popoverOffsetLeft = cell.offsetLeft + event.offsetX + (this.popoverPositionX === 'left' ? -this.popoverWidth - this.popoverMargin: 0 + this.popoverMargin);\n        this.hoveredCell = {\n            xLabel: this.maskedXLabels[xIndex],\n            yLabel: this.maskedYLabels[yIndex],\n            value: this.maskedData[xIndex][yIndex] || 0,\n        };\n        \n        this.showPopover();\n    }\n\n    positionPopover(event: MouseEvent) {\n        const cell = event.target as HTMLElement;\n        const matrix = this.matrix.nativeElement as HTMLElement;\n        const containerWidth = this.container.nativeElement.offsetWidth;\n        const containerHeight = this.container.nativeElement.offsetHeight;\n        this.popoverPositionX = cell.offsetLeft + matrix.offsetLeft + this.popoverWidth + 2 * this.popoverMargin > containerWidth ? 'left' : 'right'; // double margin to ensure direction switch early\n        this.popoverPositionY = cell.offsetTop + matrix.offsetTop + this.popoverHeight + 2 * this.popoverMargin > containerHeight ? 'top' : 'bottom';\n    }\n\n    xIsSelected(xIndex: number) {\n        return this.selectedCell && xIndex === this.selectedCell.xIndex;\n    }\n\n    yIsSelected(yIndex: number) {\n        return this.selectedCell && yIndex === this.selectedCell.yIndex;\n    }\n\n    showPopover() {\n        this.isPopoverVisible = true;\n    }\n\n    hidePopover() {\n        this.isPopoverVisible = false;\n    }\n    \n    isLabelFiltered(label: string) {\n        return _.isEmpty(this.filteredLabelMap) || this.filteredLabelMap[label];\n    }\n}\n","<div class=\"simple-columns mbot8\">\n    <h2 class=\"paned-page-section__subheading\">Prediction</h2>\n    <form class=\"dkuform-horizontal\" [formGroup]=\"form\">\n        <div class=\"control-group\">\n            <div class=\"controls mleft0\">\n                <dku-bs-select-form-control\n                    formControlName=\"selectedCategories\"\n                    ngOptions=\"category for category in list\"\n                    [list]=\"categories\"\n                    dataActionsBox=\"true\"\n                    dataLiveSearch=\"true\"\n                    dkuMultiple=\"multiple\"\n                    [layout]=\"'list'\"\n                    [params]=\"{\n                        noneSelectedText: 'Filter categories...'\n                    }\">\n                </dku-bs-select-form-control>\n            </div>\n        </div>\n    </form>\n</div>\n\n<ng-container *ngIf=\"matrix$ | async as matrix\">\n    <confusion-matrix\n        [data]=\"matrix.data\"\n        [xHeaderLabel]=\"'Predicted'\"\n        [yHeaderLabel]=\"'Ground Truth'\"\n        [xLabels]=\"matrix.xCategories\"\n        [yLabels]=\"matrix.yCategories\"\n        [filteredLabelMap]=\"filteredCategoryMap$ | async\"\n        [readOnly]=\"true\"\n        [heatmapParams]=\"matrix.params\"\n        [popoverTemplate]=\"popoverTemplate\"\n        (cellClicked)=\"matrixClick($event)\"\n    >\n    </confusion-matrix>\n</ng-container>\n\n<ng-template #popoverTemplate let-detectionLabel=\"xLabel\" let-groundTruthLabel=\"yLabel\" let-value=\"value\">\n    <ul class=\"raw-unstyled-ul\">\n        <li>Actual <strong>{{ groundTruthLabel}}</strong></li>\n        <li>Predicted <strong>{{ detectionLabel }}</strong></li>\n        <li><strong>{{ value }}</strong> {{ (detectionLabel === NO_DETECTION_LABEL ? 'object' : 'detection') | plurify: value }}</li>\n    </ul>\n    <div class=\"tac text-prompt mtop8\">\n        Click cell to show objects\n    </div>\n</ng-template>","import { Component, OnInit, ChangeDetectionStrategy } from '@angular/core';\nimport { FormBuilder } from '@angular/forms';\nimport { DeephubAbstractReportConfusionMatrixComponent, MatrixData } from '@features/deephub/computer-vision/report/confusion-matrix/deephub-computer-vision-report-confusion-matrix.component';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { DeephubImagesDataService } from 'src/generated-sources';\nimport { DeephubObjectDetectionReportDataFetcherService } from '../services/deephub-object-detection-report-data-fetcher.service';\nimport { DeephubObjectDetectionReportService, ObjectDetectionReport } from '../services/deephub-object-detection-report.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'deephub-object-detection-report-confusion-matrix',\n  templateUrl: '../../../computer-vision/report/confusion-matrix/deephub-computer-vision-report-confusion-matrix.component.html',\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubObjectDetectionReportConfusionMatrixComponent extends DeephubAbstractReportConfusionMatrixComponent<ObjectDetectionReport, DeephubObjectDetectionReportService> implements OnInit {\n    constructor(\n        objectDetectionService: DeephubObjectDetectionReportService,\n        private dataFetcher: DeephubObjectDetectionReportDataFetcherService,\n        formBuilder: FormBuilder\n    ) { super(objectDetectionService, formBuilder)}\n\n    matrixClick(clickedCell: { xIndex: number, yIndex: number} | null): void {\n        const sorting = {sortBy: DeephubImagesDataService.SortBy.IOU, ascending: false};\n        const filter = {\n            groundTruth: clickedCell ? this.reportService.getFilterCategory(clickedCell.yIndex, this.categories) : null,\n            detection: clickedCell ? this.reportService.getFilterCategory(clickedCell.xIndex, this.categories) : null,\n            sorting\n        };\n        this.dataFetcher.setFilteredPair(filter);\n    }\n\n    createMatrix(report: ObjectDetectionReport): MatrixData {\n        this.categories = report.categories;\n        const iouIndex = this.reportService.iouToIndex(report.iou);\n        const confidenceThresholdIndex = this.reportService.confidenceThresholdToIndex(report.confidenceThreshold!);\n        const confusionMatrix = (report.perf.confusion_matrix.confusionMatrices[iouIndex] || [])[confidenceThresholdIndex];\n        const matrixSize = this.categories.length;\n        const newMatrix: number[][] = Array(matrixSize + 1).fill(0).map(() => Array(matrixSize + 1).fill(0)); // include non-detected/non-object\n\n        // initialized non-object and not detected cells\n        report.perf.confusion_matrix.perConfidenceScoreDetectionsCount.forEach((counts, index) => {\n            newMatrix[index][matrixSize] = counts !== null ? counts[confidenceThresholdIndex] : 0;\n        })\n        newMatrix[matrixSize] = report.perf.confusion_matrix.groundTruthsCounts.slice().concat(0);\n\n        (confusionMatrix || []).forEach((cell: number[]) => {\n            const predictedIndex = cell[0];\n            const groundTruthIndex = cell[1];\n            const frequency = cell[2];\n\n            newMatrix[predictedIndex][groundTruthIndex] = frequency;\n\n            // calculate non-objects\n            newMatrix[predictedIndex][matrixSize] = newMatrix[predictedIndex][matrixSize] - frequency;\n\n            // calculate not detected\n            newMatrix[matrixSize][groundTruthIndex] = newMatrix[matrixSize][groundTruthIndex] - frequency;\n        });\n\n        return {\n            data: newMatrix,\n            xCategories: [...this.categories, this.NO_DETECTION_LABEL],\n            yCategories: [...this.categories, this.NO_GROUND_TRUTH_LABEL],\n            params: {\n                filterVariablesWithoutValues: false,\n                showAbsValues: true,\n                showColors: true,\n                showValues: false,\n                threshold: 0\n            }\n        };\n    }\n}\n","<table class=\"deephub-pair-list w100\" *ngIf=\"pairList\">\n    <thead>\n        <tr class=\"deephub-pair-list__row deephub-pair-list__row--header\">\n            <th width=\"38%\">Ground Truth</th>\n            <th width=\"38%\">Prediction</th>\n            <th width=\"17%\">Score</th>\n            <th width=\"7%\"></th>\n        </tr>\n    </thead>\n    <tbody>\n        <tr class=\"deephub-pair-list__row deephub-pair-list__row--body\" *ngFor=\"let pair of pairList\"\n            (mouseenter)=\"canvasPainter.togglePairHover(pair)\"\n            (mouseleave)=\"canvasPainter.togglePairHover(pair)\"\n            (click)=\"canvasPainter.togglePairSelection(pair)\"\n            [ngClass]=\"{'deephub-pair-list__row--selected': pair.boxGrouping.data.selected, 'deephub-pair-list__row--hovered': pair.boxGrouping.data.hovered}\">\n            <td>\n                <div class=\"horizontal-flex aic\">\n                    <div class=\"deephub-image-legend noflex\">\n                        <span class=\"deephub-image-legend__item\" [style.background-image]=\"'repeating-linear-gradient(to right, ' + pair.groundTruth?.stroke + ' 0 20%, transparent 20% 25%)'\"></span>\n                    </div>\n                    <span class=\"mleft4 mx-textellipsis\" [class.text-prompt]=\"!pair.groundTruth\" [title]=\"pair.groundTruth?.data.category || 'N/A'\">\n                        {{ pair.groundTruth?.data.category || 'N/A' }}\n                    </span>\n                </div>\n            </td>\n            <td>\n                <div class=\"horizontal-flex aic\">\n                    <div class=\"deephub-image-legend noflex\">\n                        <span class=\"deephub-image-legend__item\" [style.background-color]=\"pair.detection?.stroke || 'transparent'\"></span>\n                    </div>\n                    <span class=\"mleft4 mx-textellipsis\" [class.text-prompt]=\"!pair.detection\" [title]=\"pair.detection?.data.category || 'N/A'\" >\n                        {{ pair.detection?.data.category || 'N/A' }}\n                    </span>\n                </div>\n            </td>\n            <td [class.text-prompt]=\"!pair.detection?.data.confidence\">\n                {{ (pair.detection?.data.confidence | number) || 'N/A' }}\n            </td>\n            <td>\n                <i class=\"deephub-pair-list__icon\" [ngClass]=\"{\n                    'icon-remove-sign icon-error-color': pair.detection?.data.category !== pair.groundTruth?.data.category,\n                    'icon-ok-sign icon-ok-color': pair.detection?.data.category === pair.groundTruth?.data.category\n                }\"></i>\n            </td>\n        </tr>\n    </tbody>\n</table>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { CanvasPairedItem, DeephubObjectDetectionReportPainterService } from '@features/deephub/object-detection/report/services/deephub-object-detection-report-painter.service';\n\n@Component({\n    selector: 'deephub-object-detection-report-pair-list',\n    templateUrl: './deephub-object-detection-report-pair-list.component.html',\n    styleUrls: [\n        './deephub-object-detection-report-pair-list.component.less',\n        '../../../shared-styles/deephub-image.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubObjectDetectionReportPairListComponent {\n    @Input() pairList: CanvasPairedItem[];\n\n    constructor(\n        public canvasPainter: DeephubObjectDetectionReportPainterService\n    ) {}\n}\n","<feed-image-modal [imageId]=\"data.imageId\" [columns]=\"data.columns\" [imageOptions]=\"data.imageOptions\">\n    <ng-template let-image=\"image\">\n        <image-metadata class=\"padleftright24 mbot16 db\" [image]=\"image\"></image-metadata>\n        <deephub-object-detection-report-pair-list [pairList]=\"pairList$ | async\"></deephub-object-detection-report-pair-list>\n    </ng-template>\n</feed-image-modal>","import { Component, ChangeDetectionStrategy, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA } from '@angular/material/dialog';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { Column } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { FeedImageModalService } from '@shared/services/feed-image-modal.service';\nimport { filterNonNull } from 'dku-frontend-core';\nimport { combineLatest, Subject } from 'rxjs';\nimport { CanvasPairedItem, DeephubObjectDetectionReportPainterService } from '@features/deephub/object-detection/report/services/deephub-object-detection-report-painter.service';\nimport { BasePainterOptions } from '@shared/models/painter';\nimport { PainterService } from '@shared/services/painter.service';\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-object-detection-report-image-feed-modal',\n    templateUrl: './deephub-object-detection-report-image-feed-modal.component.html',\n    styleUrls: ['./deephub-object-detection-report-image-feed-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    providers: [\n        DeephubObjectDetectionReportPainterService,\n        { provide: PainterService, useExisting: DeephubObjectDetectionReportPainterService },\n    ]\n})\nexport class DeephubObjectDetectionReportImageFeedModalComponent {\n    pairList$ = new Subject<CanvasPairedItem[]>();\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) public data: {\n            imageId: number,\n            columns: Column[],\n            imageOptions: BasePainterOptions\n        },\n        private canvasPainter: DeephubObjectDetectionReportPainterService,\n        private feedImageModalService: FeedImageModalService\n    ) {\n        combineLatest([\n            this.feedImageModalService.imageId$,\n            this.feedImageModalService.canvas$\n        ]).pipe(\n            filterNonNull(),\n            untilDestroyed(this)\n        ).subscribe(([_, canvas]) => {\n            this.pairList$.next(this.canvasPainter.getPairs(canvas));\n        });\n    }\n}\n","<div class=\"deephub-results-image-legend\" *ngIf=\"{ filter: dataFetcher.filter$ | async } as data\">\n    <div class=\"deephub-results-image-legend__item\">\n        <div class=\"deephub-results-image-legend__header\">Ground Truth</div>\n        <div class=\"horizontal-flex aic\" *ngIf=\"!data?.filter?.groundTruth || data?.filter?.groundTruth?.type !== 'ONE'\">\n            <div class=\"deephub-image-legend mright4\">\n                <span class=\"deephub-image-legend__item deephub-image-legend__item--not-selected-secondary\"></span>\n            </div>\n            {{ data?.filter?.groundTruth?.type === 'NONE' ? \"None\" : \"Any class\"}}\n        </div>\n        <div class=\"horizontal-flex aic\" *ngIf=\"data?.filter?.groundTruth?.value as groundTruthCategory\">\n            <div class=\"deephub-image-legend\">\n                <span class=\"deephub-image-legend__item\" [style.background-image]=\"'repeating-linear-gradient(to right, ' + colorMapService.mapping.get(groundTruthCategory) + ' 0 20%, transparent 20% 25%)'\"></span>\n            </div>\n            {{ groundTruthCategory }}\n        </div>\n    </div>\n    <div class=\"deephub-results-image-legend__item\">\n        <div class=\"deephub-results-image-legend__header\">Predicted</div>\n        <div class=\"horizontal-flex aic\" *ngIf=\"!data?.filter?.detection || data?.filter?.detection?.type !== 'ONE'\">\n            <div class=\"deephub-image-legend mright4\">\n                <span class=\"deephub-image-legend__item deephub-image-legend__item--not-selected\"></span>\n            </div>\n            {{ data?.filter?.detection?.type === 'NONE' ? \"None\" : \"Any class\"}}\n        </div>\n        <div class=\"horizontal-flex aic\" *ngIf=\"data?.filter?.detection?.value as detectionCategory\">\n            <div class=\"deephub-image-legend\">\n                <span class=\"deephub-image-legend__item\" [style.background-color]=\"colorMapService.mapping.get(detectionCategory)\"></span>\n            </div>\n            {{ detectionCategory }}\n        </div>\n    </div>\n</div>","import { Component, ChangeDetectionStrategy } from '@angular/core';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubObjectDetectionReportDataFetcherService } from '../services/deephub-object-detection-report-data-fetcher.service';\n\n@Component({\n  selector: 'deephub-object-detection-report-image-legend',\n  templateUrl: './deephub-object-detection-report-image-legend.component.html',\n  styleUrls: [\n    '../../../computer-vision/report/image-legend/deephub-computer-vision-report-image-legend.component.less',\n    '../../../shared-styles/deephub-image.less'\n    ],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubObjectDetectionReportImageLegendComponent {\n    constructor(\n        public dataFetcher: DeephubObjectDetectionReportDataFetcherService,\n        public colorMapService: ColorMapContextService\n    ) {}\n}\n","<div class=\"h100 paned-page-section vertical-flex pad0\" *ngIf=\"{ filter: dataFetcher.filter$ | async } as data\">\n    <div class=\"image-feed__header\">\n        <h2 class=\"paned-page-section__subheading\">\n            {{ dataFetcher.totalItems! }} {{ 'Image' | plurify: dataFetcher.totalItems!}}\n        </h2>\n\n        <div *ngIf=\"data?.filter?.sorting as sorting\">\n            Sort by <a class=\"image-feed__sorting-by-link\" [class.image-feed__sorting-by-link--selected]=\"sorting.sortBy === SortBy.CONFIDENCE\" (click)=\"sorting.sortBy !== SortBy.CONFIDENCE && setSortingByConfidence(data.filter)\">Confidence</a> |\n            <a class=\"image-feed__sorting-by-link\" [class.image-feed__sorting-by-link--selected]=\"sorting.sortBy === SortBy.IOU\" (click)=\"sorting.sortBy !== SortBy.IOU && setSortingByIOU(data.filter)\">IOU</a>\n            &nbsp; <i *ngIf=\"sorting.ascending\" (click)='setSortingDescending(data.filter)' class=\"icon-sort-by-attributes image-feed__sorting-order\"></i>\n                    <i *ngIf=\"!sorting.ascending\" (click)='setSortingAscending(data.filter)' class=\"icon-sort-by-attributes-alt image-feed__sorting-order\"></i>\n        </div>\n\n    </div>\n    <div class=\"padleftright16\">\n        <deephub-object-detection-report-image-legend></deephub-object-detection-report-image-legend>\n    </div>\n    <image-feed class=\"h100\" [imageHeight]=\"200\" [itemsPerRow]=\"2\" (imageClick)=\"openModal($event)\"></image-feed>\n</div>\n","import { Component, ChangeDetectionStrategy, ViewContainerRef } from '@angular/core';\nimport { FeedImageModalParams } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { DeephubImagesDataService } from 'src/generated-sources';\nimport { DeephubObjectDetectionReportImageFeedModalComponent } from '@features/deephub/object-detection/report/image-feed-modal/deephub-object-detection-report-image-feed-modal.component';\nimport { DeephubObjectDetectionReportDataFetcherService, DeephubObjectDetectionResultsDataColumns } from '../services/deephub-object-detection-report-data-fetcher.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'deephub-object-detection-report-image-feed',\n  templateUrl: './deephub-object-detection-report-image-feed.component.html',\n  styleUrls: ['../../../computer-vision/report/image-feed/deephub-compute-version-report-image-feed.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubObjectDetectionReportImageFeedComponent {\n    constructor(\n        public dataFetcher: DeephubObjectDetectionReportDataFetcherService,\n        public viewContainerRef: ViewContainerRef,\n        public modalsService: ModalsService\n    ) {}\n\n    openModal({ imageId }: FeedImageModalParams) {\n        const dataColumns = this.dataFetcher.dataColumns as DeephubObjectDetectionResultsDataColumns\n        const IGNORED_COLUMNS = [\n            dataColumns.target.name,\n            dataColumns.prediction.name,\n            dataColumns.pairing.name,\n            dataColumns.enrichedFiltered.name,\n            dataColumns.enrichedValid.name\n        ];\n        const IGNORED_PREFIX = \"__dku__deephub_\";\n        const columns = this.dataFetcher.tableData!.allColumnNames.map((name, index) => ({\n            name,\n            index\n        })).filter(column => !IGNORED_COLUMNS.includes(column.name) && !column.name.startsWith(IGNORED_PREFIX));\n        this.modalsService\n            .open(DeephubObjectDetectionReportImageFeedModalComponent, {\n                imageId,\n                columns,\n                imageOptions: {\n                    showResultIcon: true,\n                    selectedStrokeWidth: 3\n                }\n             }, ModalShape.FULL, this.viewContainerRef)\n            .then(() => {}, () => {});\n    }\n\n    public get SortBy() {\n        return DeephubImagesDataService.SortBy;\n    }\n\n    private setSorting(filter: DeephubImagesDataService.ObjectDetectionPredictedFilter, sorting: DeephubImagesDataService.Sorting) {\n        const newFilter = {...filter, sorting};\n        this.dataFetcher.setFilteredPair(newFilter);\n    }\n\n    setSortingByConfidence(filter: DeephubImagesDataService.ObjectDetectionPredictedFilter) {\n        this.setSorting(filter, {\n            sortBy: DeephubImagesDataService.SortBy.CONFIDENCE,\n            ascending: filter.sorting.ascending\n        });\n    }\n\n    setSortingByIOU(filter: DeephubImagesDataService.ObjectDetectionPredictedFilter) {\n        this.setSorting(filter, {\n            sortBy: DeephubImagesDataService.SortBy.IOU,\n            ascending: filter.sorting.ascending\n        });\n    }\n\n    setSortingAscending(filter: DeephubImagesDataService.ObjectDetectionPredictedFilter) {\n        this.setSorting(filter, {\n            sortBy: filter.sorting.sortBy,\n            ascending: true\n        });\n    }\n\n    setSortingDescending(filter: DeephubImagesDataService.ObjectDetectionPredictedFilter) {\n        this.setSorting(filter, {\n            sortBy: filter.sorting.sortBy,\n            ascending: false\n        });\n    }\n\n}\n","<div class=\"object-detection h100\">\n    <ng-container [ngSwitch]=\"tab\">\n        <ng-container *ngSwitchCase=\"'precision-recall'\">\n            <div class=\"paned-page-section paned-page-section--no-border w100\">\n                <deephub-object-detection-report-precision-recall-chart class=\"span7 db\"></deephub-object-detection-report-precision-recall-chart>\n                <div class=\"span5 doctor-explanation\">\n                    <h1>Precision-Recall Curve</h1>\n                    <p>Precision and recall are measures of predictive performance. Precision tells us, from all the test examples that were assigned a label, how many were actually supposed to be categorized with that label. Recall tells us, from all the test examples that should have had the label assigned, how many were actually assigned the label.</p>\n                    <ul class=\"horizontal-flex raw-unstyled-ul mbot8 doctor-explanation__legend\">\n                        <li class=\"mright16\">\n                            <img src=\"/static/dataiku/images/models/pr-chart/file-with-pets.png\" srcset=\"/static/dataiku/images/models/pr-chart/file-with-pets@2x.png 2x\">\n                            File with pets\n                        </li>\n                        <li class=\"mright16\">\n                            <img src=\"/static/dataiku/images/models/pr-chart/algo-pets.png\" srcset=\"/static/dataiku/images/models/pr-chart/algo-pets@2x.png 2x\">\n                            Algorithm predicts pets\n                        </li>\n                        <li>\n                            <img src=\"/static/dataiku/images/models/pr-chart/file-without-pets.png\" srcset=\"/static/dataiku/images/models/pr-chart/file-without-pets@2x.png 2x\">\n                            File without pets\n                        </li>\n                    </ul>\n                    <div class=\"horizontal-flex aic\">\n                        <img src=\"/static/dataiku/images/models/pr-chart/highp-lowr.png\" srcset=\"/static/dataiku/images/models/pr-chart/highp-lowr@2x.png 2x\" class=\"mright16 noflex\">\n                        <ul class=\"raw-unstyled-ul\">\n                            <li>\n                                All predictions are pets\n                            </li>\n                            <li class=\"font-weight-bold\">\n                                High Precision\n                            </li>\n                            <li class=\"font-weight-bold\">\n                                Low Recall\n                            </li>\n                        </ul>\n                    </div>\n                    <div class=\"horizontal-flex jce aic mbot8\">\n                        <ul class=\"raw-unstyled-ul tar\">\n                            <li>\n                                All pets are predicted\n                            </li>\n                            <li class=\"font-weight-bold\">\n                                Low Precision\n                            </li>\n                            <li class=\"font-weight-bold\">\n                                High Recall\n                            </li>\n                        </ul>\n                        <img src=\"/static/dataiku/images/models/pr-chart/lowp-highr.png\" srcset=\"/static/dataiku/images/models/pr-chart/lowp-highr@2x.png 2x\" class=\"mleft16 noflex\">\n                    </div>\n                    <p>Lowering the IOU threshold reduces the bar for assigning a label thereby improving the recall at the expense of precision (over assigning labels). Raising the threshold tries to ensure certainty in the labels which are assigned at the risk of missing some objects (low recall).</p>\n                    <p>For a selected IOU threshold, the curve shows how precision/recall evolves across the various levels of confidence score.</p>\n                </div>\n            </div>\n        </ng-container>\n        <ng-container *ngSwitchCase=\"'object_detection'\">\n            <div class=\"object-detection__results oa\">\n                <div class=\"paned-page-section paned-page-section--no-border oa\">\n                    <deephub-object-detection-report-confusion-matrix></deephub-object-detection-report-confusion-matrix>\n                </div>\n            </div>\n            <div class=\"object-detection__feed\">\n                <deephub-object-detection-report-image-feed></deephub-object-detection-report-image-feed>\n            </div>\n        </ng-container>\n    </ng-container>\n</div>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { PainterService } from '@shared/services/painter.service';\nimport { ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { DeepHubPredictionModelDetails, DeepHubPredictionModelPerf } from 'src/generated-sources';\nimport { DeephubObjectDetectionReportDataFetcherService } from './services/deephub-object-detection-report-data-fetcher.service';\nimport { DeephubObjectDetectionReportPainterService } from './services/deephub-object-detection-report-painter.service';\nimport { DeephubObjectDetectionReportService } from './services/deephub-object-detection-report.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\n\n@Component({\n    selector: 'deephub-object-detection-report',\n    templateUrl: './deephub-object-detection-report.component.html',\n    styleUrls: ['./deephub-object-detection-report.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    providers: [\n        ColorMapContextService,\n        DeephubObjectDetectionReportPainterService,\n        DeephubObjectDetectionReportDataFetcherService,\n        { provide: ImagesDataFetcherService, useExisting: DeephubObjectDetectionReportDataFetcherService },\n        { provide: SampleDataFetcherService, useExisting: DeephubObjectDetectionReportDataFetcherService },\n        { provide: PainterService, useExisting: DeephubObjectDetectionReportPainterService },\n    ]\n})\nexport class DeephubObjectDetectionReportComponent {\n    // replace inputs with modelData\n    @Input() modelData: DeepHubPredictionModelDetails;\n    @Input() iou: number;\n    @Input() confidenceThreshold: number;\n    @Input() tab: string;\n\n    constructor(\n        private objectDetectionService: DeephubObjectDetectionReportService\n    ) { }\n\n    ngOnChanges(): void {\n        this.objectDetectionService.updateReport({\n            coreParams: this.modelData.coreParams,\n            fullModelId: this.modelData.fullModelId,\n            perf: this.modelData.perf as DeepHubPredictionModelPerf.DeepHubObjectDetectionPredictionModelPerf,\n            categories: this.modelData.preprocessing.target_remapping.map(label => label.sourceValue),\n            confidenceThreshold: this.confidenceThreshold,\n            iou: this.iou\n        });\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { DeephubReport, DeephubReportService } from '@features/deephub/computer-vision/report/services/abstract-deephub-report.service';\nimport { DeepHubPredictionModelPerf } from 'src/generated-sources';\n\nexport interface ImageClassificationReport extends DeephubReport {\n    perf: DeepHubPredictionModelPerf.DeepHubImageClassificationPredictionModelPerf,\n}\n\n@Injectable({\n  providedIn: 'root'\n})\nexport class DeephubImageClassificationReportService extends DeephubReportService<ImageClassificationReport> {\n    getFilterCategory(index: number, categories: string[]): string {\n        return categories[index];\n    }\n}\n","import { Inject, Injectable } from '@angular/core';\nimport { DataikuAPIService } from '@core/dataiku-api/dataiku-api.service';\nimport { CurrentRouteService } from '@core/nav/current-route.service';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { DeephubImagesDataService } from 'src/generated-sources';\nimport { DeephubCellData, DeephubColumn } from '@features/deephub/services/abstract-deephub-data-fetcher.service';\nimport { DeephubImageClassificationReportService, ImageClassificationReport } from './deephub-image-classification-report.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { AbstractDeephubReportDataFetcherService, DeephubResultsDataColumns } from '@features/deephub/computer-vision/report/services/abstract-deephub-report-data-fetcher.service';\n\nexport interface DeephubImageClassificationReportCellData extends DeephubCellData {\n    target: string,\n    prediction: string,\n    probabilities: Map<string, number>\n}\n\nexport interface DeephubImageClassificationResultsDataColumns extends DeephubResultsDataColumns {\n    probabilities: DeephubColumn[]\n}\n\n@UntilDestroy()\n@Injectable()\nexport class DeephubImageClassificationReportDataFetcherService extends AbstractDeephubReportDataFetcherService<ImageClassificationReport, DeephubImagesDataService.ImageClassificationPredictedFilter> {\n    constructor(\n        DataikuAPI: DataikuAPIService,\n        imageClassificationService: DeephubImageClassificationReportService,\n        currentRoute: CurrentRouteService,\n        colorMapService: ColorMapContextService,\n        @Inject('COLOR_PALETTES') COLOR_PALETTES: { [palette: string]: string[]; }\n    ) {\n        super(DataikuAPI, imageClassificationService, currentRoute, colorMapService, COLOR_PALETTES);\n    }\n\n    combineReportFilter(report: ImageClassificationReport, filter: DeephubImagesDataService.ImageClassificationPredictedFilter): DeephubImagesDataService.ImageClassificationPredictedFilter {\n        return {...filter, type: \"DEEP_HUB_IMAGE_CLASSIFICATION\"};\n    }\n\n    getDefaultFilter(): Partial<DeephubImagesDataService.ImageClassificationPredictedFilter> {\n        return { ascending: false};\n    }\n\n    createDataColumns(orderedColumns: string[]): DeephubImageClassificationResultsDataColumns {\n        const columns: DeephubImageClassificationResultsDataColumns = {\n            target: {\n                name: this.coreParams.target_variable\n            },\n            itemPath: {\n                name: this.coreParams.pathColumn\n            },\n            prediction: {\n                name: 'prediction',\n            },\n            probabilities: []\n        };\n\n\n        for (let i = 0; i < orderedColumns.length; i++) {\n            const name = orderedColumns[i];\n            if (name.startsWith(\"proba_\")) {\n                columns.probabilities.push({name, index: i});\n            }\n        }\n\n        this.addColumnIndices(columns, orderedColumns);\n\n        return columns;\n    }\n\n    rowToCellData(rowContent: string[], i: number, j: number): DeephubImageClassificationReportCellData {\n        const columns = this.dataColumns as DeephubImageClassificationResultsDataColumns;\n        const cell = {\n            itemPath: rowContent[columns.itemPath.index!],\n            target: rowContent[columns.target.index!],\n            prediction: rowContent[columns.prediction.index!],\n            probabilities: new Map<string, number>(),\n            imageId: i\n        };\n        for (const column of columns.probabilities) {\n            cell.probabilities.set(column.name, parseFloat(rowContent[column.index!]));\n        }\n\n        return cell;\n    }\n}\n","import { Injectable } from '@angular/core';\nimport { fabric } from \"fabric\";\nimport { BasePainterOptions, ImagePositionInformation, PainterImage, PainterImageArtifact } from '@shared/models/painter';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubImageClassificationReportCellData } from './deephub-image-classification-report-data-fetcher.service';\nimport { PainterService } from '@shared/services/painter.service';\nimport { ImageClassificationLabelHelper } from '../../utils/label-helper';\n\n@Injectable({\n    providedIn: 'root'\n  })\nexport class DeephubImageClassificationReportPainterService extends PainterService {\n    readonly SUCCESS_ICON = 'icon-ok-sign';\n    readonly FAIL_ICON = 'icon-remove';\n\n    constructor(\n        private colorMapService: ColorMapContextService\n    ) {\n        super();\n    }\n\n    paintForFeed(cellData: DeephubImageClassificationReportCellData, image: PainterImage, imagePosition: ImagePositionInformation): void {\n        const color = this.colorMapService.mapping.get(cellData.prediction);\n        const box = ImageClassificationLabelHelper.createLabel(imagePosition, color);\n        box.icon = cellData.prediction === cellData.target ? this.SUCCESS_ICON : this.FAIL_ICON;\n        const probaCol = `proba_${cellData.prediction}`;\n        box.text = `${cellData.prediction} (${cellData.probabilities.get(probaCol)!.toFixed(3)})`;\n        image.addArtifact(box);\n    }\n}\n","import { Component, OnInit, ChangeDetectionStrategy } from '@angular/core';\nimport { FormBuilder } from '@angular/forms';\nimport { DeephubAbstractReportConfusionMatrixComponent, MatrixData } from '@features/deephub/computer-vision/report/confusion-matrix/deephub-computer-vision-report-confusion-matrix.component';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { DeephubImageClassificationReportDataFetcherService } from '../services/deephub-image-classification-report-data-fetcher.service';\nimport { DeephubImageClassificationReportService, ImageClassificationReport } from '../services/deephub-image-classification-report.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'deephub-image-classification-report-confusion-matrix',\n  templateUrl: '../../../computer-vision/report/confusion-matrix/deephub-computer-vision-report-confusion-matrix.component.html',\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubImageClassificationReportConfusionMatrixComponent extends DeephubAbstractReportConfusionMatrixComponent<ImageClassificationReport, DeephubImageClassificationReportService> implements OnInit {\n    constructor(\n        imageClassificationService: DeephubImageClassificationReportService,\n        private dataFetcher: DeephubImageClassificationReportDataFetcherService,\n        formBuilder: FormBuilder\n    ) {\n        super(imageClassificationService, formBuilder);\n    }\n\n    matrixClick(clickedCell: { xIndex: number, yIndex: number} | null): void {\n        this.dataFetcher.setFilteredPair({\n            groundTruth: clickedCell ? this.reportService.getFilterCategory(clickedCell.yIndex, this.categories) : null,\n            detection: clickedCell ? this.reportService.getFilterCategory(clickedCell.xIndex, this.categories) : null,\n            ascending: false\n        });\n    }\n\n    createMatrix(report: ImageClassificationReport): MatrixData {\n        this.categories = report.categories;\n        const matrixSize = this.categories.length;\n        const categoryMap = new Map<string, number>();\n        for (let i = 0; i < matrixSize; i++) {\n            categoryMap.set(this.categories[i], i);\n        }\n        const newMatrix: number[][] = Array(matrixSize).fill(0).map(() => Array(matrixSize).fill(0));\n        for (const className in report.perf.confusion_matrix.perActual) {\n            const classId = categoryMap.get(className);\n            if (classId === undefined) { // class not found, ignore it\n                continue;\n            }\n\n            const predictedClasses = report.perf.confusion_matrix.perActual[className].perPredicted;\n            for (const [predictedClass, count] of Object.entries(predictedClasses)) {\n                const predictedId = categoryMap.get(predictedClass);\n                if (predictedId === undefined) { // class not found, ignore it\n                    continue;\n                }\n\n                newMatrix[predictedId][classId] = count;\n            }\n        }\n\n        return {\n            data: newMatrix,\n            xCategories: this.categories,\n            yCategories: this.categories,\n            params: {\n                filterVariablesWithoutValues: false,\n                showAbsValues: true,\n                showColors: true,\n                showValues: false,\n                threshold: 0\n            }\n        };\n    }\n}\n","<feed-image-modal [imageId]=\"data.imageId\" [columns]=\"data.columns\">\n    <ng-template let-image=\"image\">\n        <image-metadata class=\"padleftright24 mbot16 db\" [image]=\"image\"></image-metadata>\n        \n        <div *ngIf=\"formattedPredictions$ | async as formattedPredictions\">\n            \n            <div class=\"padleftright24 mbot32 db\">\n                <div class=\"deephub-image-classification-feed-modal__results-header\">Ground Truth</div>\n                <div class=\"mtop8 deephub-image-classification-feed-modal__category\"\n                          [style.background-color]=\"getCategoryColor(image?.cellData.target)\">{{image?.cellData.target}}\n                </div>\n                <div class=\"deephub-image-classification-feed-modal__results-header\">Prediction</div>\n                <div class=\"deephub-image-classification-feed-modal__results-horizontal-bars\" >\n                    <div\n                        *ngFor=\"let p of formattedPredictions\"\n                        [style.background-color]=\"p.color\"\n                        [style.width.%]=\"p.proba * 100\"\n                        [style.height.px]=\"16\"\n                        [matTooltip]=\"p.title\" matTooltipPosition=\"below\">\n                    </div>\n                </div>\n\n                <div class=\"deephub-image-classification-feed-modal__results-horizontal-bars deephub-image-classification-feed-modal__results-horizontal-axis\">\n                    <div>0</div>\n                    <div>20</div>\n                    <div>40</div>\n                    <div>60</div>\n                    <div>80</div>\n                    <div>100%</div>\n                </div>\n            </div>\n\n            \n            <div class=\"deephub-image-classification-feed-modal__row\"\n                *ngFor=\"let p of formattedPredictions\">\n\n                <div class=\"mbot4 deephub-image-classification-feed-modal__category\"\n                    [style.background-color]=\"p.category === image?.cellData?.prediction? p.color : ''\">\n                    <i  *ngIf=\"p.category === image?.cellData?.prediction\"\n                        [ngClass]=\"{'icon-ok-sign': image?.cellData?.target === p.category,\n                                   'icon-remove': image?.cellData?.target !== p.category}\"\n                        class=\"deephub-image-classification-feed-modal__category-elt\"></i>\n                    <span *ngIf=\"p.category !== image?.cellData?.prediction\"\n                          class=\"deephub-image-classification-feed-modal__category-elt deephub-image-classification-feed-modal__row-bullet\"\n                          [style.color]=\"p.color\"></span>\n\n                    <span *ngIf=\"!p.others\" class=\"mleft4 deephub-image-classification-feed-modal__category-elt\">{{p.category}} </span>\n                    <span *ngIf=\"p.others\" class=\"mleft4 deephub-image-classification-feed-modal__category-elt\" [matTooltip]=\"p.title\" matTooltipPosition=\"below\"><em>Others</em></span>\n                </div>\n\n                <div class=\"mbot4\">{{(p.proba *100).toFixed(1)}}%</div>\n            </div>\n            \n        </div>\n    </ng-template>\n</feed-image-modal>\n","import { Component, ChangeDetectionStrategy, Inject } from '@angular/core';\nimport { MAT_DIALOG_DATA } from '@angular/material/dialog';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { Column } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { FeedImageModalService } from '@shared/services/feed-image-modal.service';\nimport { filterNonNull } from 'dku-frontend-core';\nimport { combineLatest, Observable } from 'rxjs';\nimport { DeephubImageClassificationReportPainterService } from '@features/deephub/image-classification/report/services/deephub-image-classification-report-painter.service';\nimport { BasePainterOptions } from '@shared/models/painter';\nimport { PainterService } from '@shared/services/painter.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { distinctUntilChanged, map } from 'rxjs/operators';\nimport { DeephubImageClassificationReportCellData } from '../services/deephub-image-classification-report-data-fetcher.service';\n\nclass FormattedPrediction {\n    category?: string;\n    proba: number;\n    title: string;\n    color: string | undefined;\n    others: boolean;\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-image-classification-report-image-feed-modal',\n    templateUrl: './deephub-image-classification-report-image-feed-modal.component.html',\n    styleUrls: ['./deephub-image-classification-report-image-feed-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    providers: [\n        DeephubImageClassificationReportPainterService,\n        { provide: PainterService, useExisting: DeephubImageClassificationReportPainterService },\n    ]\n})\nexport class DeephubImageClassificationReportImageFeedModalComponent {\n    readonly NUM_SHOWN_CLASSES = 7;\n    formattedPredictions$: Observable<FormattedPrediction[]>;\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) public data: {\n            imageId: number,\n            columns: Column[]\n        },\n        private feedImageModalService: FeedImageModalService,\n        private colorMapService: ColorMapContextService\n\n    ) {\n        combineLatest([\n            this.feedImageModalService.imageId$,\n            this.feedImageModalService.canvas$\n        ]).pipe(\n            filterNonNull(),\n        );\n\n        this.formattedPredictions$ = this.feedImageModalService.image$.pipe(\n           distinctUntilChanged((a, b) => a.cellData.imageId === b.cellData.imageId), // not really necessary but just to ensure it only gets called once per image\n           untilDestroyed(this),\n           map(image => this.formatPredictions((image.cellData as DeephubImageClassificationReportCellData).probabilities))\n        );\n    }\n\n    private getCategoryName (prefixedCategory: string): string {\n        return prefixedCategory.replace('proba_', '');\n    }\n\n    private formatTitle(probas: [string, number][]) : string {\n        return probas.map(proba => `${this.getCategoryName(proba[0])} (${(proba[1]*100).toFixed(1)}%)`).join(\"\\n\");\n    }\n\n    getCategoryColor (category: string) : string | undefined {\n        return this.colorMapService.mapping.get(category);\n    }\n\n    formatPredictions(probabilities: Map<string, number>) : FormattedPrediction[]\n    {\n        const sortedProbas = Array.from(probabilities).sort((a, b) => (b[1] - a[1]));\n        const formattedPredictions: FormattedPrediction[] = [];\n        for (var i = 0; i < Math.min(this.NUM_SHOWN_CLASSES, sortedProbas.length); i++) {\n            const catName = this.getCategoryName(sortedProbas[i][0]);\n            formattedPredictions.push({category: catName,\n                                       proba: sortedProbas[i][1],\n                                       title: this.formatTitle([sortedProbas[i]]),\n                                       others: false,\n                                       color: this.getCategoryColor(catName)});\n        }\n        if (sortedProbas.length > this.NUM_SHOWN_CLASSES){\n            // Aggregate the rest of the categories/probas into a single item.\n            const otherProbas = sortedProbas.slice(this.NUM_SHOWN_CLASSES);\n            const otherAggProba = otherProbas.reduce((sumProbas, nextValue) => sumProbas + nextValue[1], 0);\n            formattedPredictions.push({proba: otherAggProba,\n                                       title: this.formatTitle(otherProbas),\n                                       others: true,\n                                       color: '#DDDDDD'});\n        }\n\n        return formattedPredictions;\n    }\n}\n\n","<div class=\"deephub-results-image-legend\" *ngIf=\"{ filter: dataFetcher.filter$ | async } as data\">\n    <div class=\"deephub-results-image-legend__item\">\n        <div class=\"deephub-results-image-legend__header\">Ground Truth</div>\n        <div class=\"horizontal-flex aic\">\n            <span [ngClass]=\"{ 'deephub-results-image-legend__text': !!data?.filter?.groundTruth}\" [style.background-color]=\"colorMapService.mapping?.get(data?.filter?.groundTruth)\">\n                {{ data?.filter?.groundTruth ? data?.filter?.groundTruth : \"Any class\"}}\n            </span>\n        </div>\n    </div>\n    <div class=\"deephub-results-image-legend__item\">\n        <div class=\"deephub-results-image-legend__header\">Predicted</div>\n        <div class=\"horizontal-flex aic\">\n            <span [ngClass]=\"{ 'deephub-results-image-legend__text': !!data?.filter?.detection}\" [style.background-color]=\"colorMapService.mapping?.get(data?.filter?.detection)\">\n                {{ data?.filter?.detection ? data?.filter?.detection : \"Any class\"}}\n            </span>\n        </div>\n    </div>\n</div>\n","import { Component, ChangeDetectionStrategy } from '@angular/core';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\nimport { DeephubImageClassificationReportDataFetcherService } from '../services/deephub-image-classification-report-data-fetcher.service';\n\n@Component({\n  selector: 'deephub-image-classification-report-image-legend',\n  templateUrl: './deephub-image-classification-report-image-legend.component.html',\n  styleUrls: [\n      '../../../computer-vision/report/image-legend/deephub-computer-vision-report-image-legend.component.less',\n      '../../../shared-styles/deephub-image.less'\n    ],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubImageClassificationReportImageLegendComponent {\n    constructor(\n        public dataFetcher: DeephubImageClassificationReportDataFetcherService,\n        public colorMapService: ColorMapContextService\n    ) {}\n}\n","<div class=\"h100 paned-page-section vertical-flex pad0\" *ngIf=\"{ filter: dataFetcher.filter$ | async } as data\">\n    <div class=\"image-feed__header\">\n        <h2 class=\"paned-page-section__subheading\">\n            {{ dataFetcher.totalItems! }} {{ 'Image' | plurify: dataFetcher.totalItems!}}\n        </h2>\n        <div *ngIf=\"data?.filter as filter\">\n            Sorted by probability &nbsp;\n            <i (click)='setSorting(data.filter)' [ngClass]=\"{'icon-sort-by-attributes': filter.ascending, 'icon-sort-by-attributes-alt': !filter.ascending}\" class=\" image-feed__sorting-order\"></i>\n        </div>\n    </div>\n    <div class=\"padleftright16\">\n        <deephub-image-classification-report-image-legend></deephub-image-classification-report-image-legend>\n    </div>\n    <image-feed class=\"h100\" [imageHeight]=\"200\" [itemsPerRow]=\"2\" (imageClick)=\"openModal($event)\"></image-feed>\n</div>\n","import { Component, ChangeDetectionStrategy, ViewContainerRef } from '@angular/core';\nimport { FeedImageModalParams } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { DeephubImagesDataService } from 'src/generated-sources';\nimport { DeephubImageClassificationReportImageFeedModalComponent } from '@features/deephub/image-classification/report/image-feed-modal/deephub-image-classification-report-image-feed-modal.component';\nimport { DeephubImageClassificationReportDataFetcherService } from '../services/deephub-image-classification-report-data-fetcher.service';\n\n@UntilDestroy()\n@Component({\n  selector: 'deephub-image-classification-report-image-feed',\n  templateUrl: './deephub-image-classification-report-image-feed.component.html',\n  styleUrls: ['../../../computer-vision/report/image-feed/deephub-compute-version-report-image-feed.component.less'],\n  changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class DeephubImageClassificationReportImageFeedComponent {\n    constructor(\n        public dataFetcher: DeephubImageClassificationReportDataFetcherService,\n        public viewContainerRef: ViewContainerRef,\n        public modalsService: ModalsService\n    ) {}\n\n    openModal({ imageId }: FeedImageModalParams) {\n        const IGNORED_COLUMNS = [\n            this.dataFetcher.dataColumns.target.name,\n            this.dataFetcher.dataColumns.prediction.name,\n        ];\n        const IGNORED_PREFIX = \"__dku__deephub_\";\n        const columns = this.dataFetcher.tableData!.allColumnNames.map((name, index) => ({\n            name,\n            index\n        })).filter(column => !IGNORED_COLUMNS.includes(column.name) && !column.name.startsWith(IGNORED_PREFIX) && !column.name.startsWith(\"proba_\"));\n        this.modalsService\n            .open(DeephubImageClassificationReportImageFeedModalComponent, {\n                imageId,\n                columns\n             }, ModalShape.FULL, this.viewContainerRef)\n            .then(() => {}, () => {});\n    }\n\n    public get SortBy() {\n        return DeephubImagesDataService.SortBy;\n    }\n\n    setSorting(filter: DeephubImagesDataService.ImageClassificationPredictedFilter) {\n        filter.ascending = !filter.ascending\n        this.dataFetcher.setFilteredPair(filter);\n    }\n}\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\nimport { PainterService } from '@shared/services/painter.service';\nimport { ImagesDataFetcherService } from '@shared/services/images-data-fetcher.service';\nimport { SampleDataFetcherService } from '@shared/services/sample-data-fetcher.service';\nimport { DeepHubPredictionModelDetails, DeepHubPredictionModelPerf } from 'src/generated-sources';\nimport { DeephubImageClassificationReportDataFetcherService } from './services/deephub-image-classification-report-data-fetcher.service';\nimport { DeephubImageClassificationReportPainterService } from './services/deephub-image-classification-report-painter.service';\nimport { DeephubImageClassificationReportService } from './services/deephub-image-classification-report.service';\nimport { ColorMapContextService } from '@shared/services/color-map-context.service';\n\n@Component({\n    selector: 'deephub-image-classification-report',\n    templateUrl: './deephub-image-classification-report.component.html',\n    styleUrls: ['./deephub-image-classification-report.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    providers: [\n        ColorMapContextService,\n        DeephubImageClassificationReportPainterService,\n        DeephubImageClassificationReportDataFetcherService,\n        { provide: ImagesDataFetcherService, useExisting: DeephubImageClassificationReportDataFetcherService },\n        { provide: SampleDataFetcherService, useExisting: DeephubImageClassificationReportDataFetcherService },\n        { provide: PainterService, useExisting: DeephubImageClassificationReportPainterService },\n    ]\n})\nexport class DeephubImageClassificationReportComponent {\n    @Input() modelData: DeepHubPredictionModelDetails;\n\n    constructor(\n        private imageClassificationService: DeephubImageClassificationReportService\n    ) { }\n\n    ngOnChanges(): void {\n        this.imageClassificationService.updateReport({\n            coreParams: this.modelData.coreParams,\n            fullModelId: this.modelData.fullModelId,\n            perf: this.modelData.perf as DeepHubPredictionModelPerf.DeepHubImageClassificationPredictionModelPerf,\n            categories: this.modelData.preprocessing.target_remapping.map(label => label.sourceValue),\n        });\n    }\n}\n","<div class=\"image-classification h100\">\n    <div class=\"image-classification__results oa\">\n        <div class=\"paned-page-section paned-page-section--no-border oa\">\n            <deephub-image-classification-report-confusion-matrix></deephub-image-classification-report-confusion-matrix>\n        </div>\n    </div>\n    <div class=\"image-classification__feed\">\n        <deephub-image-classification-report-image-feed></deephub-image-classification-report-image-feed>\n    </div>\n</div>\n","import { Workspace } from \"src/generated-sources\";\n\nexport const EMPTY_WORKSPACE: Workspace = {\n    color: '',\n    workspaceKey: '',\n    displayName: '',\n    description: '',\n    permissions: [],\n    currentUserPermissions: {\n        admin: true,\n        write: true,\n        read: true,\n    },\n    workspaceObjects: [],\n    checklists: { checklists: [] },\n    tags: [],\n    customFields: {},\n};\n\nexport enum ROLES {\n    ADMIN = 'admin',\n    CONTRIBUTOR = 'write',\n    MEMBER ='read',\n};\n\nexport const DEFAULT_ROLE = ROLES.CONTRIBUTOR;\n\nexport type Role = { role: string, label: string, description: string };\n\nexport const ROLE_LIST: Role[] = [\n    { role: ROLES.ADMIN, label: 'Admin', description: 'All contributors privileges, plus the ability to manage workspace and its users.' },\n    { role: ROLES.CONTRIBUTOR, label: 'Contributor', description: 'Contributors can add and remove content from workspace.' },\n    { role: ROLES.MEMBER, label: 'Member', description: 'Members can interact with workspace content.' },\n];\n\nexport const DEFAULT_PERMISSION = {\n    admin: false,\n    write: true,\n    read: true,\n};\n","import { Inject, Injectable } from \"@angular/core\";\nimport { Workspace } from \"src/generated-sources\";\nimport { Role, ROLES, ROLE_LIST } from \"../workspace.constants\";\nimport { DKURootScope } from \"../workspaces-migration\";\n\n@Injectable({\n    providedIn: 'root',\n})\nexport class WorkspaceSecurityService {\n\n    constructor(@Inject('$rootScope') private $rootScope: DKURootScope) {}\n\n    canCreateWorkspaces(): boolean {\n        return this.$rootScope.appConfig && this.$rootScope.appConfig.loggedIn\n            && (this.$rootScope.appConfig.admin || this.$rootScope.appConfig.globalPermissions.mayCreateWorkspaces);\n    }\n\n    getRole(name: string): Role | undefined {\n        return ROLE_LIST.find(item => item.role === name);\n    }\n\n    getRoleFromPermission(permission: Workspace.Permissions): Role {\n        if (permission.admin) {\n            return this.getRole(ROLES.ADMIN) as Role;\n        } else if (permission.write) {\n            return this.getRole(ROLES.CONTRIBUTOR) as Role;\n        }\n        return this.getRole(ROLES.MEMBER) as Role;\n    }\n\n    getPermissionFromRole(role: string): Workspace.Permissions | null {\n        switch (role) {\n            case ROLES.ADMIN:\n                return { admin: true, write: true, read: true };\n            case ROLES.CONTRIBUTOR:\n                return { admin: false, write: true, read: true };\n            case ROLES.MEMBER:\n                return { admin: false, write: false, read: true };\n            default:\n                return null;\n        }\n    }\n\n}\n","import { Directive, ElementRef, Injector, Input } from \"@angular/core\";\nimport { UpgradeComponent } from \"@angular/upgrade/static\";\n\n@Directive({\n    selector: 'angularjs-autocompletable-textarea',\n})\nexport class AngularJSAutocompletableTextareaDirective extends UpgradeComponent {\n    @Input() model: any;\n    @Input() modelChange: any;\n    @Input() textarea?: object;\n    @Input() options?: string;\n\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1AutocompletableTextarea', elementRef, injector);\n    }\n}","import { Component, EventEmitter, Input, Output } from \"@angular/core\";\n\n@Component({\n    selector: 'autocompletable-textarea',\n    template: `\n        <angularjs-autocompletable-textarea [model]=\"model\" [modelChange]=\"modelChange\" [textarea]=\"textarea\" [options]=\"options\">\n        </angularjs-autocompletable-textarea>`,\n})\n// This is a thin wrapper to allow angular-style \"two-way binding\"\n// by passing the outpout (modelChange) as an input to <angularjs-autocompletable-textarea>\nexport class AutocompletableTextareaComponent {\n    @Input() model: string;\n    @Input() textarea?: object;\n    @Input() options?: string;\n\n    // Allow to have 2 way data-binding in templates using the `[(model)]` syntax\n    @Output() modelChange: EventEmitter<string> = new EventEmitter<string>();\n\n    constructor() {}\n}","<div [style.--workspace-color]=\"workspace.color\">\n    <div class=\"control-group\">\n        <label for=\"displayName\" class=\"control-label\">Name</label>\n        <div class=\"controls\">\n            <input type=\"text\" placeholder=\"Workspace name\" name=\"displayName\"\n                [(ngModel)]=\"workspace.displayName\"\n                (ngModelChange)=\"onDisplayNameChange()\"\n                required>\n        </div>\n    </div>\n\n    <div class=\"control-group\">\n        <div class=\"controls workspace-general-edition__color-options\">\n            <div class=\"workspace-general-edition__badge-preview\">\n                <span class=\"workspace-general-edition__badge-preview-text\" [textContent]=\"initials\"></span>\n            </div>\n            <div class=\"color-options mleft8\">\n                <div class=\"color-options__list horizontal-flex\">\n                    <span *ngFor=\"let color of stockColors\" \n                        class=\"color-dot\" \n                        [class.selected]=\"color === workspace.color\"\n                        (click)=\"pickStockColor(color)\"\n                        [style.backgroundColor]=\"color\">\n                    </span>\n                </div>\n                <label class=\"workspace-general-edition__color-input\">\n                    <span class=\"color-dot\">\n                        <i class=\"icon-tint workspace-general-edition__icon-tint\"></i>\n                    </span>\n                    <span class=\"color-code\">{{ workspace.color }}</span>\n                    <input type=\"color\" name=\"workspaceColor\" [(ngModel)]=\"workspace.color\" (ngModelChange)=\"onWorkspaceChange()\">\n                </label>\n            </div>\n        </div>\n    </div>\n\n    <div class=\"control-group\" *ngIf=\"!editionMode\">\n        <label for=\"workspaceKey\" class=\"control-label\">Workspace Key</label>\n        <div class=\"controls\">\n            <input type=\"text\"\n                name=\"workspaceKey\"\n                [(ngModel)]=\"workspace.workspaceKey\"\n                (ngModelChange)=\"onWorkspaceChange()\"\n                pattern=\"/^\\w+$/\"\n                placeholder=\"Workspace key\"\n                required>\n        </div>\n    </div>\n\n    <div class=\"control-group workspace-general-edition__description\">\n        <label for=\"description\" class=\"control-label\">Description</label>\n        <div class=\"controls\">\n            <autocompletable-textarea\n                [(model)]=\"workspace.description\"\n                (modelChange)=\"onWorkspaceChange()\"\n                [textarea]=\"{ name: 'description', placeholder: 'Workspace description' }\"\n                options=\"{ autofocus: false }\">\n            </autocompletable-textarea>\n        </div>\n    </div>\n</div>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Inject, Input, OnInit, Output } from \"@angular/core\";\nimport { Workspace } from \"@model-main/workspaces/workspace\";\n\n@Component({\n    selector: 'workspace-general-edition',\n    templateUrl: './workspace-general-edition.component.html',\n    styleUrls: ['./workspace-general-edition.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class WorkspaceGeneralEditionComponent implements OnInit {\n    stockColors = [ '#540d6e', '#ee4266', '#ffd23f', '#3bceac', '#43aa8b', '#118ab2', '#073b4c' ];\n    initials: string;\n\n    @Input() workspace: Workspace;\n    @Input() editionMode?: boolean;\n    @Output() workspaceChange = new EventEmitter<Workspace>();\n\n    constructor (\n        // TODO migrate workspaces services to Angular\n        @Inject('WorkspaceDisplayService') private WorkspaceDisplayService: any,\n    ) {\n    }\n\n    ngOnInit(): void {\n        if (!this.workspace.color) {\n            this.workspace.color = this.stockColors[Math.floor(Math.random() * this.stockColors.length)];\n        }\n        this.updateInitials();\n    }\n\n    onDisplayNameChange(): void {\n        if (!this.editionMode) {\n            this.updateWorkspaceKey()\n        }\n        this.updateInitials();\n        this.onWorkspaceChange();\n    }\n\n    onWorkspaceChange(): void {\n        this.workspaceChange.emit({...this.workspace});\n    }\n\n    updateWorkspaceKey(): void {\n        this.workspace.workspaceKey = this.workspace.displayName ? this.workspace.displayName.toUpperCase().replace(/\\W+/g, \"_\") : '';\n    }\n\n    updateInitials(): void {\n        this.initials = this.WorkspaceDisplayService.getWorkspaceInitials(this.workspace);\n    }\n\n    pickStockColor(color: string): void {\n        this.workspace.color = color;\n        this.onWorkspaceChange();\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({ name: 'map' })\nexport class MapPipe implements PipeTransform {\n\n\ttransform<T, R>(values: T, func: (value: T, index: number, values: T[]) => R, context?: unknown): R;\n\ttransform<T, R>(values: T[], func: (value: T, index: number, values: T[]) => R, context?: unknown): R[];\n\ttransform<T, R>(values: T | T[], func: (value: T, index: number, values: T[]) => R, context?: unknown): R | R[] {\n\t\tif (Array.isArray(values)) {\n\t\t\treturn values.map(func.bind(context));\n\t\t} else {\n\t\t\treturn func.call(context, values, 0, [values]);\n\t\t}\n\t}\n\n}\n","<button mat-button (click)=\"select.open()\" class=\"btn btn--text btn--primary\">\n    <ng-content></ng-content>\n</button>\n<mat-select #select multiple disableOptionCentering\n    class=\"select-button__input\"\n    (selectionChange)=\"selectionChange.emit($event)\"\n    [ngModel]=\"selection\">\n    <mat-option class=\"select-button__search\">\n        <ngx-mat-select-search\n            [(ngModel)]=\"filter\"\n            [hideClearSearchButton]=\"true\"\n            [noEntriesFoundLabel]=\"searchNoEntry\"\n            [placeholderLabel]=\"searchPlaceholder\">\n        </ngx-mat-select-search>\n    </mat-option>\n    <mat-option *ngFor=\"let option of (options | filter: filter:labelKey); index as i\" [value]=\"option | map:mapValue:this\" class=\"select-button__option\">\n        <ng-template #defaultTemplate>{{ option | map:mapLabel:this }}</ng-template>\n        <ng-container\n            [ngTemplateOutlet]=\"optionTemplateRef || defaultTemplate\"\n            [ngTemplateOutletContext]=\"{ $implicit: option, index: i }\"\n        ></ng-container>\n    </mat-option>\n</mat-select>\n","import { ChangeDetectionStrategy, Component, ContentChild, EventEmitter, Input, Output, TemplateRef } from \"@angular/core\";\n\n/**\n * Button component that open a searchable select input\n */\n@Component({\n    selector: 'select-button',\n    templateUrl: './select-button.component.html',\n    styleUrls: ['./select-button.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class SelectButtonComponent {\n\n    filter = '';\n\n    @Input() selection: Array<any>;\n    @Input() options: Array<any>;\n    @Input() searchPlaceholder?: string;\n    @Input() searchNoEntry?: string;\n    @Input() valueKey?: string;\n    @Input() labelKey?: string;\n\n    @Output() selectionChange = new EventEmitter();\n\n    @ContentChild(\"optionTemplate\") optionTemplateRef?:TemplateRef<any>;\n\n    mapValue(option: any): any {\n        return this.valueKey ? option[this.valueKey] : option;\n    }\n\n    mapLabel(option: any): any {\n        return this.labelKey ? option[this.labelKey] : option;\n    }\n}\n","import { ChangeDetectionStrategy, Component, Inject, Input, OnChanges } from \"@angular/core\";\n\n@Component({\n    selector: 'user-picture',\n    template: `<span [class]=\"'avatar' + size\" [style.backgroundImage]=\"url\"></span>`,\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class UserPictureComponent implements OnChanges {\n    url: string;\n\n    @Input() user: string;\n    @Input() size: number;\n\n    constructor(\n        @Inject('UserImageUrl') private UserImageUrl: (userLogin: string, size: number) => string,\n    ) {}\n\n    ngOnChanges() {\n        this.url = `url(${this.UserImageUrl(this.user, this.size)})`;\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n  name: 'pluck'\n})\nexport class PluckPipe implements PipeTransform {\n    transform(list: any[], propertyName: string): any[] {\n        if (!list || !propertyName) {\n            return [];\n        }\n        return list.map(item => item[propertyName]);\n    }\n}\n","<section class=\"workspace-permissions-edition__header\">\n    <span *ngIf=\"permissions.length\" class=\"std-list-search-box workspace-permissions-edition__list-search\">\n        <i class=\"icon-search\"></i>\n        <input type=\"search\" [(ngModel)]=\"memberFilter\" placeholder=\"Find users\">\n    </span>\n\n    <hr *ngIf=\"permissions.length\">\n\n    <div class=\"workspace-permissions-edition__add-block\" \n        *ngIf=\"canEdit && (groups?.length || availableUsers?.length)\">\n\n        <select-button *ngIf=\"groups\" [options]=\"groups\"\n            [selection]=\"permissions | pluck:'group'\"\n            (selectionChange)=\"onGroupPermissionsChange($event)\"\n            searchPlaceholder=\"Find groups\"\n            searchNoEntry=\"No matching group\">\n            <i class=\"icon-plus\"></i>Add group\n            <ng-template #optionTemplate let-option>\n                <i class=\"icon-group\"></i>\n                <span class=\"workspace-general-edition__add-option-label\">\n                    {{ option | map: mapGroup }}\n                </span>\n            </ng-template>\n        </select-button>\n\n        <select-button [options]=\"availableUsers\"\n            [selection]=\"permissions | pluck:'user'\"\n            (selectionChange)=\"onUserPermissionChange($event)\"\n            searchPlaceholder=\"Find users\"\n            searchNoEntry=\"No matching user\"\n            valueKey=\"login\"\n            labelKey=\"displayName\">\n            <i class=\"icon-plus\"></i>Add user\n            <ng-template #optionTemplate let-option>\n                <user-picture [user]=\"option.login\" size=\"24\"></user-picture>\n                <span class=\"workspace-general-edition__add-option-label\">\n                    {{ option.displayName }}\n                </span>\n            </ng-template>\n        </select-button>\n\n    </div>\n</section>\n    \n<section class=\"workspace-permissions-edition__users-list\" *ngIf=\"availableUsers && groups\">\n\n    <div class=\"workspace-permissions-edition__user mbot8\" *ngIf=\"!editionMode\">\n        <div class=\"workspace-permissions-edition__avatar\">\n            <user-picture [user]=\"currentUser.login\" size=\"24\"></user-picture>\n        </div>\n        <div class=\"workspace-permissions-edition__user-label\">\n            <span class=\"font-weight-semi-bold\">{{ currentUser.displayName }}</span>\n            (You)\n        </div>\n        <div class=\"workspace-permissions-edition__user-rights mleft8\">\n            Admin\n        </div>\n    </div>\n\n    <ng-container *ngIf=\"permissions | map:mapPermission:this | filter:memberFilter:'displayName'; let filteredPermissions\">\n        <div *ngFor=\"let permission of filteredPermissions; trackBy:trackPermission\" class=\"workspace-permissions-edition__user\">\n            <div class=\"workspace-permissions-edition__avatar\">\n                <span *ngIf=\"permission.group\"><i class=\"icon-group\"></i></span>\n                <user-picture *ngIf=\"!permission.group\" [user]=\"permission.user\" size=\"24\"></user-picture>\n            </div>\n            <div class=\"workspace-permissions-edition__user-label\" [class.font-weight-semi-bold]=\"permission.group || permission.exists\">\n                <span [class.text-disabled]=\"!permission.exists\">\n                    {{ permission.displayName }}\n                </span>\n            </div>\n            <div class=\"workspace-permissions-edition__user-rights\" *ngIf=\"canEdit\">\n                <mat-select [value]=\"permission.role.role\" (valueChange)=\"updatePermissionRole(permission, $event)\" class=\"workspace-permissions-edition__role-select\">\n                    <mat-select-trigger>{{ permission.role.label }}</mat-select-trigger>\n                    <mat-option *ngFor=\"let role of roleList\" [value]=\"role.role\" class=\"workspace-permissions-edition__role\">\n                        <div class=\"workspace-permissions-edition__role-label\">\n                            {{ role.label }}\n                        </div>\n                        <div class=\"workspace-permissions-edition__role-description\">\n                            {{ role.description }}\n                        </div>\n                    </mat-option>\n                </mat-select>\n            </div>\n            <button *ngIf=\"canEdit\" class=\"btn btn--text btn--danger btn--icon\"\n                [class.btn--disabled]=\"permission.exists\"\n                (click)=\"deletePermission(permission)\"><i class=\"icon-trash\"></i>\n            </button>\n            <div *ngIf=\"!canEdit\" class=\"workspace-permissions-edition__user-rights\">\n                {{ permission.role.label }}\n            </div>\n        </div>\n\n        <div [hidden]=\"!permissions.length || !memberFilter || filteredPermissions.length\">\n            <div class=\"dku-text\">No match found for <b>{{ memberFilter }}</b></div>\n            <button class=\"mtop8 btn btn--secondary\" (click)=\"onClearMemberSearch()\">\n                Clear Search\n            </button>\n        </div>\n    </ng-container>\n\n    <p class=\"dku-text text-weak\" *ngIf=\"!permissions.length && editionMode\">\n        No group or user is granted access to this workspace.\n    </p>\n\n    <p class=\"dku-text text-weak mtop16\" *ngIf=\"!permissions.length && !editionMode\">\n        You can skip this step and add groups or users later.\n    </p>\n</section>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Inject, Input, OnChanges, Output, SimpleChanges } from \"@angular/core\";\nimport { MatSelectChange } from \"@angular/material/select\";\nimport { WorkspaceSecurityService } from \"@features/workspaces/services/workspace-security.service\";\nimport { DKURootScope, User } from \"@features/workspaces/workspaces-migration\";\nimport { Workspace } from \"src/generated-sources\";\nimport { ROLE_LIST, DEFAULT_PERMISSION, Role } from \"../../workspace.constants\";\n\ninterface EnrichedPermissionItem extends Workspace.PermissionItem {\n    displayName: string;\n    exists: boolean;\n    role: Role;\n}\n\n@Component({\n    selector: 'workspace-permissions-edition',\n    templateUrl: './workspace-permissions-edition.component.html',\n    styleUrls: ['./workspace-permissions-edition.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class WorkspacePermissionsEditionComponent implements OnChanges {\n    @Input() workspace: Workspace;\n    /** List of users than can be added in the workspace. Warning: here user's login is stored as 'login' */\n    @Input() users?: Array<User>;\n    /** List of groups that can be added in the workspace. */\n    @Input() groups?: Array<string>;\n    /** True if editing the workspace instead of creating it. */\n    @Input() editionMode: boolean;\n\n    @Output() permissionsChange = new EventEmitter<Workspace.PermissionItem[]>();\n\n    roleList = ROLE_LIST;\n\n    availableUsers?: Array<User>;\n    permissions: Workspace.PermissionItem[];\n    canEdit = false;\n    currentUser: User;\n    memberFilter = '';\n\n    constructor(\n        private workspaceSecurity: WorkspaceSecurityService,\n        @Inject('$rootScope') private $rootScope: DKURootScope,\n    ) {\n        this.currentUser = this.$rootScope.appConfig.user;\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        this.canEdit = this.editionMode ? this.workspace.currentUserPermissions.admin : this.workspaceSecurity.canCreateWorkspaces();\n        this.setPermission([ ...this.workspace.permissions ], false);\n        if (changes.users) {\n            this.availableUsers = this.editionMode ? this.users : this.users?.filter(user => user.login !== this.currentUser.login);\n        }\n    }\n\n    setPermission(permissions: Workspace.PermissionItem[], emit = true): void {\n        this.permissions = permissions;\n        if (emit) {\n            this.permissionsChange.emit(this.permissions);\n        }\n    }\n\n    mapGroup(group: string): string {\n        return group === '$$ALL_USERS$$' ? 'All users' : group;\n    }\n\n    mapPermission(permission: Workspace.PermissionItem): EnrichedPermissionItem | null {\n        const role = this.workspaceSecurity.getRoleFromPermission(permission);\n        if (permission.user) {\n            const user = this.users?.find(user => user.login === permission.user);\n            const displayName = user?.displayName || `${permission.user} (deleted)`;\n            return { ...permission, displayName, exists: !!user, role };\n        } else if (permission.group) {\n            return { ...permission, displayName: this.mapGroup(permission.group), exists: true, role };\n        }\n        return null;\n    }\n\n    trackPermission(permission: Workspace.PermissionItem): string | null {\n        return permission.user || permission.group || null;\n    }\n\n    onClearMemberSearch(): void {\n        this.memberFilter = '';\n    }\n\n    onGroupPermissionsChange(change: MatSelectChange): void {\n        const groups = change.value as string[];\n\n        this.setPermission([\n            ...groups.map(group =>\n                this.permissions.find(permission => permission.group === group) || ({ ...DEFAULT_PERMISSION, group })\n            ),\n            ...this.permissions.filter(permission => !permission.group),\n        ]);\n    }\n\n    onUserPermissionChange(change: MatSelectChange): void {\n        const users = change.value as string[];\n\n        this.setPermission([\n            ...this.permissions.filter(permission => !permission.user),\n            ...users.map(user =>\n                this.permissions.find(permission => permission.user === user) || ({ ...DEFAULT_PERMISSION, user })\n            ),\n        ]);\n    }\n\n    deletePermission(permissionToDelete: EnrichedPermissionItem): void {\n        const newPermissions = [\n            ...this.permissions.filter(permission => permission.user !== permissionToDelete.user || permission.group !== permissionToDelete.group)\n        ];\n        this.setPermission(newPermissions);\n    }\n\n    updatePermissionRole(permissionToUpdate: EnrichedPermissionItem, newRole: string): void {\n        const permission = this.permissions.find(permission => permission.user === permissionToUpdate.user && permission.group === permissionToUpdate.group);\n        const newPermissions = this.workspaceSecurity.getPermissionFromRole(newRole);\n\n        if (permission && newPermissions) {\n            Object.assign(permission, newPermissions);\n            this.setPermission([...this.permissions]);\n        }\n    }\n\n}\n","<modal-header [title]=\"title\" [hasBorder]=\"false\"></modal-header>\n<api-error-alert\n    [apiError]=\"error?.error$ | async\"\n    (resetError)=\"error?.resetError()\"\n    [closable]=\"true\"\n></api-error-alert>\n<form class=\"dkuform-modal-horizontal\">\n    <mat-tab-group\n        class=\"edit-workspace-modal__tabs\"\n        [class.edit-workspace-modal__tabs--hidden]=\"!isEdition || tabs.length === 1\"\n        [selectedIndex]=\"currentTabIndex\"\n        (selectedIndexChange)=\"onTabChange($event)\"\n    >\n        <mat-tab *ngFor=\"let tab of tabs\" [label]=\"tab\">\n            <workspace-general-edition\n                *ngIf=\"tab === EditTabs.GENERAL && opened\"\n                class=\"modal-body\"\n                [workspace]=\"editedWorkspace\"\n                [editionMode]=\"isEdition\"\n                (workspaceChange)=\"onWorkspaceChange($event)\"\n            ></workspace-general-edition>\n            <ng-container *ngIf=\"tab === EditTabs.PERMISSIONS\">\n                <div *ngIf=\"!isEdition\" class=\"modal__step-header mbot0 mtop8\">\n                    <a (click)=\"previousTab()\" class=\"dku-back-link\"><i class=\"icon-arrow-left\"></i></a>\n                    <span class=\"modal__step-header-title\">Add users to your workspace</span>\n                </div>\n                <workspace-permissions-edition\n                    class=\"modal-body\"\n                    [workspace]=\"editedWorkspace\"\n                    [users]=\"users$ | async\"\n                    [groups]=\"groups$ | async\"\n                    [editionMode]=\"isEdition\"\n                    (permissionsChange)=\"onWorkspaceChange({ permissions: $event })\"\n                ></workspace-permissions-edition>\n            </ng-container>\n        </mat-tab>\n    </mat-tab-group>\n</form>\n<div class=\"modal-footer modal-footer-std-buttons\">\n    <div class=\"pull-right\">\n        <button type=\"button\" class=\"btn btn-default\" (click)=\"cancel()\">Cancel</button>\n        <ng-container *ngIf=\"!isEdition && currentTabIndex < (tabs.length - 1); then nextBtn; else confirmBtn\"></ng-container>\n        <ng-template #nextBtn>\n            <button type=\"button\" class=\"btn btn-primary\" (click)=\"nextTab()\" [disabled]=\"!canNext\">Next</button>\n        </ng-template>\n        <ng-template #confirmBtn>\n            <button type=\"submit\" class=\"btn btn-primary\" (click)=\"confirm()\" [disabled]=\"!canSubmit\" autofocus>\n                {{ isEdition ? 'Update workspace' : 'Create workspace' }}\n            </button>\n        </ng-template>\n    </div>\n</div>\n","import { ChangeDetectionStrategy, Component, HostListener, Inject } from \"@angular/core\";\nimport { MatDialogRef, MAT_DIALOG_DATA } from \"@angular/material/dialog\";\nimport { DataikuAPIService } from \"@core/dataiku-api/dataiku-api.service\";\nimport { EMPTY_WORKSPACE } from \"@features/workspaces/workspace.constants\";\nimport { DKURootScope, User } from \"@features/workspaces/workspaces-migration\";\nimport { WorkspacesError } from \"@features/workspaces/workspaces.service\";\nimport { copy, equals } from \"angular\";\nimport { Observable } from \"rxjs\";\nimport { filter, map } from \"rxjs/operators\";\nimport { Workspace } from \"src/generated-sources\";\n\nexport enum EditTabs {\n    GENERAL = 'general',\n    PERMISSIONS = 'users',\n}\n\ninterface EditWorkspaceModalOptions {\n    workspace: Workspace;\n    submit: (workspace: Workspace) => Observable<Workspace>;\n    tabs?: EditTabs[];\n    error: WorkspacesError;\n}\n\n@Component({\n    selector: 'edit-workspace-modal',\n    templateUrl: './edit-workspace-modal.component.html',\n    styleUrls: ['./edit-workspace-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class EditWorkspaceModalComponent {\n    EditTabs = EditTabs;\n\n    editedWorkspace: Workspace;\n    isEdition = false;\n    title: string;\n    tabs: EditTabs[];\n    currentTabIndex = 0;\n    canNext = false;\n    canSubmit = false;\n    opened = false;\n\n    users$ = this.DataikuAPI.security.listUsers() as Observable<User[]>;\n    groups$ = this.DataikuAPI.security.listGroups(false).pipe(map(groups => ['$$ALL_USERS$$', ...groups]));\n    error?: WorkspacesError;\n\n    // Markdown formatting is done through an AngularJS dialog, so we need to handle the closing of\n    // EditWorkspaceModalComponent manually by making sure an AngularJS dialog is not opened.\n    // To remove once the markdown has been migrated to Angular.\n    @HostListener('document:keydown.escape', ['$event']) onEscHandler(event: KeyboardEvent) {\n        // Checking if an AngularJS is not opened\n        if (!document.querySelector('div.modal.dku-modal')) {\n            this.dialogRef.close();\n        }\n    }\n\n    constructor(\n        private dialogRef: MatDialogRef<EditWorkspaceModalComponent, Workspace | null>,\n        private DataikuAPI: DataikuAPIService,\n        @Inject(MAT_DIALOG_DATA) private data: EditWorkspaceModalOptions,\n        @Inject('$rootScope') private $rootScope: DKURootScope,\n    ) {\n        this.error = data.error;\n        if (data.workspace) {\n            this.title = `Edit workspace \"${this.data.workspace.displayName}\"`;\n            this.editedWorkspace = copy(this.data.workspace);\n            this.isEdition = true;\n        } else {\n            this.title = 'Create a new workspace';\n            this.editedWorkspace = { ...EMPTY_WORKSPACE };\n        }\n        this.tabs = this.data.tabs || [EditTabs.GENERAL, EditTabs.PERMISSIONS];\n\n        // workspace-general-edition does not support transform style on its parents.\n        // It must be displayed after the open animation\n        this.dialogRef.afterOpened().subscribe(() => this.opened = true);\n        // Clean up error on close\n        this.dialogRef.beforeClosed().subscribe(() => this.error?.resetError());\n    }\n\n    onWorkspaceChange(changes: Partial<Workspace>): void {\n        this.editedWorkspace = { ...this.editedWorkspace, ...changes };\n        const isDirty = !equals(this.editedWorkspace, this.data.workspace);\n        this.canNext = !!this.editedWorkspace.workspaceKey && !!this.editedWorkspace.displayName;\n        this.canSubmit = isDirty && this.canNext;\n    }\n\n    onTabChange(index: number): void {\n        this.currentTabIndex = index;\n    }\n\n    previousTab(): void {\n        this.currentTabIndex = this.currentTabIndex > 0 ? this.currentTabIndex - 1 : this.tabs.length - 1;\n    }\n\n    nextTab(): void {\n        this.currentTabIndex = (this.currentTabIndex + 1) % this.tabs.length;\n    }\n\n    confirm(): void {\n        this.data.submit(this.editedWorkspace)\n            .subscribe(workspace => {\n                if (workspace) {\n                    this.dialogRef.close(workspace);\n                }\n            });\n    }\n\n    cancel(): void {\n        this.dialogRef.close(null);\n    }\n}\n","import { Inject, Injectable } from \"@angular/core\";\nimport { APIError, catchAPIError, ErrorContext } from \"@core/dataiku-api/api-error\";\nimport { DataikuAPIService } from \"@core/dataiku-api/dataiku-api.service\";\nimport { UntilDestroy, untilDestroyed } from \"@ngneat/until-destroy\";\nimport { BehaviorSubject, Observable } from \"rxjs\";\nimport { distinctUntilChanged, tap } from \"rxjs/operators\";\nimport { Workspace } from \"src/generated-sources\";\nimport { DKURootScope } from \"./workspaces-migration\";\n\nexport interface WorkspacesError {\n    error$: Observable<APIError | undefined>;\n    resetError: () => void;\n}\n\n@UntilDestroy()\n@Injectable()\nexport class WorkspacesService implements ErrorContext {\n\n    private error$ = new BehaviorSubject<APIError | undefined>(undefined);\n\n    constructor(\n        private DataikuAPI: DataikuAPIService,\n        @Inject('$rootScope') private $rootScope: DKURootScope,\n    ) {\n    }\n\n    pushError(error?: APIError): void {\n        this.error$.next(error);\n    }\n\n    getError(): WorkspacesError {\n        return {\n            error$: this.error$.pipe(distinctUntilChanged()),\n            resetError: () => this.pushError(),\n        };\n    }\n\n    createWorkspace(workspace: Workspace): Observable<Workspace> {\n        return this.DataikuAPI.workspaces.create(workspace).pipe(\n            tap(newWorkspace => this.ng1Notify('addAndGoToWorkspace', newWorkspace)),\n            catchAPIError(this),\n            untilDestroyed(this),\n        );\n    }\n\n    updateWorkspace(workspace: Workspace): Observable<Workspace> {\n        return this.DataikuAPI.workspaces.update(workspace).pipe(\n            tap(updatedWorkspace => {\n                this.ng1Notify('updateWorkspaces');\n                this.ng1Notify('workspaceUpdated', updatedWorkspace);\n            }),\n            catchAPIError(this),\n            untilDestroyed(this),\n        );\n    }\n\n    deleteWorkspace(workspaceKey: string): Observable<void> {\n        return this.DataikuAPI.workspaces.delete(workspaceKey).pipe(\n            tap(() => this.ng1Notify('workspaceDeleted', workspaceKey)),\n            catchAPIError(this),\n            untilDestroyed(this),\n        );\n    }\n\n    removeWorkspaceObject(workspace: Workspace, object: Workspace.WorkspaceObject, goToWorkspace?: boolean): Observable<Workspace> {\n        return this.DataikuAPI.workspaces.removeObjects(workspace.workspaceKey, [ object ]).pipe(\n            tap(workspace => {\n                this.ng1Notify('workspaceUpdated', workspace);\n                if (goToWorkspace) {\n                    this.ng1Notify('goToWorkspace', workspace);\n                }\n            }),\n            catchAPIError(this),\n            untilDestroyed(this),\n        );\n    }\n\n    /**\n     * Send an event to angularjs\n     * Mainly used to keep model sync with WorkspacesIndexPageController\n     * TODO: This method and all its references should be removed after\n     * completing the workspaces migration to Angular\n     */\n    ng1Notify(eventName:string, options?: unknown): void {\n        this.$rootScope.$emit(eventName, options);\n    }\n\n}\n","import { Injectable } from \"@angular/core\";\nimport { Workspace } from \"src/generated-sources\";\n\nexport interface WT1WorkspaceEvent {\n    color: string;\n    groups: number;\n    users: number;\n    description: boolean;\n}\n\nexport interface WT1WorkspaceChangeEvent extends Partial<WT1WorkspaceEvent> {\n    displayName?: boolean;\n    groupsDiff?: number;\n    usersDiff?: number;\n    from?: string;\n}\n\n@Injectable({\n    providedIn: 'root',\n})\nexport class WorkspaceWT1Service {\n\n    buildWT1Event(workspace: Workspace): WT1WorkspaceEvent {\n        return {\n            color: workspace.color,\n            groups: workspace.permissions.filter(permission => permission.group).length,\n            users: workspace.permissions.filter(permission => permission.user).length,\n            description: Boolean(workspace.description),\n        };\n    }\n\n    buildWT1ChangeEvent(initialWorkspace: Workspace, workspace: Workspace, from: string): WT1WorkspaceChangeEvent {\n        const initialGroups = initialWorkspace.permissions.filter(permission => permission.group).length;\n        const initialUsers = initialWorkspace.permissions.filter(permission => permission.user).length;\n        const groups = workspace.permissions.filter(permission => permission.group).length;\n        const users = workspace.permissions.filter(permission => permission.user).length;\n        \n        const event: WT1WorkspaceChangeEvent = {};\n\n        if (initialWorkspace.displayName !== workspace.displayName) {\n            event.displayName = true;\n        }\n        if (initialWorkspace.color !== workspace.color) {\n            event.color = workspace.color;\n        }\n        if (initialWorkspace.description !== workspace.description) {\n            event.description = true;\n        }\n        if (initialGroups !== groups) {\n            event.groups = groups;\n            event.groupsDiff = groups - initialGroups;\n        }\n        if (initialUsers !== users) {\n            event.users = users;\n            event.usersDiff = users - initialUsers;\n        }\n        if (from) {\n            event.from = from;\n        }\n\n        return event;\n    }\n\n}\n","import { Inject, Injectable } from \"@angular/core\";\nimport { WT1Service } from \"@core/dataiku-wt1/wt1.service\";\nimport { ConfirmModalComponent } from \"@shared/modals/confirm-modal/confirm-modal.component\";\nimport { ModalShape, ModalsService } from \"@shared/modals/modals.service\";\nimport { Workspace } from \"src/generated-sources\";\nimport { EditTabs, EditWorkspaceModalComponent } from \"../modals/edit-workspace-modal/edit-workspace-modal.component\";\nimport { WorkspaceDisplayService } from \"../workspaces-migration\";\nimport { ATSurveyService } from \"../../surveys/surveys-migration\";\nimport { WorkspacesService } from \"../workspaces.service\";\nimport { WorkspaceWT1Service } from \"./workspace-wt1.service\";\n\n@Injectable()\nexport class WorkspaceModalService {\n\n    constructor(\n        private workspacesService: WorkspacesService,\n        private modalsService: ModalsService,\n        private WT1: WT1Service,\n        private workspaceWT1: WorkspaceWT1Service,\n        @Inject('WorkspaceDisplayService') private WorkspaceDisplayService: WorkspaceDisplayService,\n        @Inject('ATSurveyService') private ATSurveyService: ATSurveyService,\n    ) {\n    }\n\n    createWorkspace(): void {\n        this.WT1.event('workspaces-create-workspace-open', {});\n        const data = {\n            error: this.workspacesService.getError(),\n            submit: (newWorkspace: Workspace) => newWorkspace ? this.workspacesService.createWorkspace(newWorkspace) : null,\n        };\n\n        this.modalsService.open(EditWorkspaceModalComponent, data, ModalShape.NONE)\n            .then((newWorkspace: Workspace) => this.WT1.event('workspaces-create-workspace-success', this.workspaceWT1.buildWT1Event(newWorkspace)))\n            .catch(() => this.WT1.event('workspaces-create-workspace-cancel', {}));\n    }\n\n    editWorkspace(workspace: Workspace, from: string, tabs?: EditTabs[]): void {\n        this.WT1.event('workspaces-edit-workspace-open', { from });\n        const data = {\n            workspace,\n            tabs,\n            error: this.workspacesService.getError(),\n            submit: (updatedWorkspace: Workspace) => updatedWorkspace ? this.workspacesService.updateWorkspace(updatedWorkspace) : null,\n        };\n\n        // An AngularJS modal can be opened from EditWorkspaceModalComponent, so we need to handle the closing by hand.\n        this.modalsService.open(EditWorkspaceModalComponent, data, ModalShape.NONE, undefined, { disableClose: true })\n            .then((updatedWorkspace: Workspace) => {\n                this.WT1.event('workspaces-edit-workspace-success', this.workspaceWT1.buildWT1ChangeEvent(workspace, updatedWorkspace, from));\n                // Call AT Survey\n                this.ATSurveyService.updateCounter('WorkspacesOpenEditObject');\n            }).catch(() => this.WT1.event('workspaces-edit-workspace-cancel', { from }));\n    }\n\n    deleteWorkspace(workspace: Workspace): void {\n        this.WT1.event('workspaces-delete-workspace-open', {});\n        this.modalsService.open(ConfirmModalComponent, {\n            title: `Delete workspace '${workspace.displayName}'`,\n            message: `Do you really want to delete workspace '${workspace.displayName}'?`,\n            danger: true,\n            confirm: 'Yes, delete this workspace',\n        }).then(() => {\n            this.workspacesService.deleteWorkspace(workspace.workspaceKey).subscribe(() => {\n                this.WT1.event('workspaces-delete-workspace-success', this.workspaceWT1.buildWT1Event(workspace));\n            });\n        }).catch(() => {\n            this.WT1.event('workspaces-delete-workspace-cancel', {})\n        });\n    }\n\n    removeWorkspaceObject(workspace: Workspace, object: Workspace.WorkspaceObject): void {\n        const objectType = this.WorkspaceDisplayService.getObjectType(object);\n\n        this.WT1.event('workspaces-remove-object-open', { objectType });\n        this.modalsService.open(ConfirmModalComponent, {\n            title: `Remove \"${object.displayName}\" from workspace`,\n            message: `\"${object.displayName}\" will be removed from this workspace` + (object.htmlLink ? '.' : ', it will not be deleted.'),\n            danger: true,\n            confirm: 'Remove',\n        }).then(() => {\n            this.workspacesService.removeWorkspaceObject(workspace, object).subscribe(() => {\n                this.WT1.event('workspaces-remove-object-success', { objectType });\n            });\n        }).catch(() => {\n            this.WT1.event('workspaces-remove-object-cancel', { objectType });\n        });\n    }\n\n}\n","\n<nav class=\"workspaces-left-menu\">\n    <ul class=\"workspaces-left-menu__list\">\n        <li *ngFor=\"let workspace of workspaces; trackBy: trackWorkspace\"\n            toggle=\"tooltip\"\n            container=\"body\"\n            [title]=\"workspace.displayName\"\n            class=\"workspaces-left-menu__object\"\n            [class.workspaces-left-menu__object--selected]=\"workspace.workspaceKey === selectedWorkspaceKey\"\n            (click)=\"selectWorkspace(workspace.workspaceKey)\">\n            <span class=\"workspaces-left-menu__object-content\" [style.backgroundColor]=\"workspace.color\">\n                <span [style.color]=\"workspace.color\" class=\"workspaces-left-menu__object-content-text\">{{ workspace | map:mapInitials:this }}</span>\n            </span>\n        </li>\n    </ul>\n    <button class=\"btn btn--icon btn--primary btn--text workspaces-left-menu__add-button\"\n        toggle=\"tooltip\"\n        container=\"body\"\n        title=\"Create a new workspace\"\n        *ngIf=\"canCreateWorkspaces\"\n        (click)=\"onAddWorkspace()\">\n            <i class=\"icon-plus-sign\"></i>\n    </button>\n</nav>\n","import { ChangeDetectionStrategy, Component, EventEmitter, Inject, Input, Output } from \"@angular/core\";\nimport { WorkspaceModalService } from \"@features/workspaces/services/workspace-modal.service\";\nimport { WorkspaceSecurityService } from \"@features/workspaces/services/workspace-security.service\";\nimport { WorkspaceDisplayService } from \"@features/workspaces/workspaces-migration\";\nimport { Workspace } from \"@model-main/workspaces/workspace\";\n\n@Component({\n    selector: 'workspaces-left-menu',\n    templateUrl: './workspaces-left-menu.component.html',\n    styleUrls: ['./workspaces-left-menu.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class WorkspacesLeftMenuComponent {\n    canCreateWorkspaces = false;\n\n    @Input() workspaces: Array<Workspace>;\n    @Input() selectedWorkspaceKey: string;\n    @Output() workspaceSelected = new EventEmitter<string>();\n\n    constructor (\n        private workspaceSecurityService: WorkspaceSecurityService,\n        private workspaceModal: WorkspaceModalService, \n        @Inject('WorkspaceDisplayService') private workspaceDisplayService: WorkspaceDisplayService,\n    ) {\n        this.canCreateWorkspaces = this.workspaceSecurityService.canCreateWorkspaces();\n    }\n\n    mapInitials(workspace: Workspace): string {\n        return this.workspaceDisplayService.getWorkspaceInitials(workspace);\n    }\n\n    trackWorkspace(index: number, workspace: Workspace): string {\n        return workspace.workspaceKey;\n    }\n\n    selectWorkspace(workspaceKey: string): void {\n        this.workspaceSelected.emit(workspaceKey);\n    }\n\n    onAddWorkspace(): void {\n        this.workspaceModal.createWorkspace();\n    }\n}\n","import { Directive, ElementRef, Injector, Input } from \"@angular/core\";\nimport { UpgradeComponent } from \"@angular/upgrade/static\";\n\n@Directive({\n    selector: 'markdown',\n})\nexport class MarkdownDirective extends UpgradeComponent {\n    @Input() from: string;\n    constructor(elementRef: ElementRef, injector: Injector) {\n        super('ng1Markdown', elementRef, injector);\n    }\n}","<header class=\"workspace-header\">\n    <div class=\"workspace-header__image\" [style.backgroundColor]=\"workspace.color\">\n        <span class=\"workspace-header__initials\" [style.color]=\"workspace.color\" [textContent]=\"getWorkspaceInitials(workspace)\"></span>\n    </div>\n    <div class=\"workspace-header__metadata\">\n        <!-- Name -->\n        <section class=\"workspace-header__top dku-grand-title\">\n            <span\n                class=\"workspace-header__name\"\n                [textContent]=\"workspace.displayName\">\n            </span>\n\n            <span *ngIf=\"workspace.currentUserPermissions.admin\" class=\"workspace-header__top-actions-btns\">\n                <a class=\"dropdown-toggle\" [matMenuTriggerFor]=\"actionMenu\">\n                    <i class=\"workspace-header__edit dku-ellipsis-vertical dku-ellipsis-vertical--circle-on-hover\"></i>\n                </a>\n\n                <mat-menu #actionMenu>\n                    <ng-template matMenuContent>\n                        <button mat-menu-item (click)=\"openEditWorkspaceModal()\">\n                            <i class=\"workspace-header__top-actions-icon icon-pencil\"></i>Edit\n                        </button>\n                        <button mat-menu-item (click)=\"openDeleteWorkspaceModal()\" class=\"text-error\">\n                            <i class=\"workspace-header__top-actions-icon icon-trash\"></i>Delete\n                        </button>\n                    </ng-template>\n                </mat-menu>\n            </span>\n\n        </section>\n\n        <!-- Members -->\n        <div class=\"workspace-header__user-badge\"\n            toggle=\"tooltip\"\n            title=\"Click to see workspace users\"\n            (click)=\"openMembersModal()\">\n            <i *ngIf=\"hasGroups\" class=\"icon-group\"></i>\n            <user-picture class=\"workspace-header__user-badge-avatar\" *ngFor=\"let avatar of avatars\" [user]=\"avatar\" size=\"24\"></user-picture>\n            <span class=\"mleft4 dku-text-sb\" [textContent]=\"workspace.permissions.length\"></span>\n        </div>\n\n        <!-- Description -->\n        <section #description class=\"workspace-header__description-container\" \n            [class]=\"{\n                'workspace-header__description-container--expanded': isExpanded, \n                'workspace-header__description-container--can-expand': canExpand && !isExpanded\n            }\">\n            <markdown\n                class=\"workspace-header__description-content dku-text markdown-std\"\n                [from]=\"workspace.description || 'No description for this workspace'\"\n            ></markdown>\n        </section>\n        <div class=\"workspace-header__description-show-action\">\n            <button *ngIf=\"canExpand\" class=\"btn btn--text btn--primary\" (click)=\"setExpanded(!isExpanded)\" >\n                {{ isExpanded ? 'Show Less' : 'Show More' }}\n            </button>\n        </div>\n\n    </div>\n</header>\n","import { AfterViewInit, Component, ElementRef, Inject, Input, NgZone, OnChanges, OnDestroy, SimpleChanges, ViewChild } from \"@angular/core\";\nimport { EditTabs } from \"@features/workspaces/modals/edit-workspace-modal/edit-workspace-modal.component\";\nimport { WorkspaceModalService } from \"@features/workspaces/services/workspace-modal.service\";\nimport { WorkspaceDisplayService } from \"@features/workspaces/workspaces-migration\";\nimport { Workspace } from \"@model-main/workspaces/workspace\";\nimport ResizeObserver from 'resize-observer-polyfill';\n\nconst DESCRIPTION_HEIGHT_THRESHOLD = 64;\n\n@Component({\n    selector: 'workspace-header',\n    templateUrl: './workspace-header.component.html',\n    styleUrls: ['./workspace-header.component.less'],\n})\nexport class WorkspaceHeaderComponent implements OnChanges, AfterViewInit, OnDestroy {\n    getWorkspaceInitials: (workspace: Workspace) => string;\n    avatars: string[];\n    canExpand = false;\n    isExpanded = false;\n    hasGroups = false;\n    resizeObserver?: ResizeObserver;\n\n    @Input() workspace: Workspace;\n    @ViewChild('description') descriptionEl: ElementRef<HTMLElement>;\n\n    constructor(\n        private zone: NgZone,\n        private workspaceModal: WorkspaceModalService,\n        @Inject('WorkspaceDisplayService') private WorkspaceDisplayService: WorkspaceDisplayService,\n    ) {\n        this.getWorkspaceInitials = this.WorkspaceDisplayService.getWorkspaceInitials;\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        const { workspace } = changes;\n        if (workspace) {\n            // Update avatars\n            this.avatars = this.workspace.permissions\n                .filter(permission => permission.user)\n                .slice(0, 3)\n                .map(permission => permission.user as string);\n            \n            this.hasGroups = this.workspace.permissions.some(permission => permission.group);\n        }\n    }\n\n    ngAfterViewInit(): void {\n        const content = this.descriptionEl.nativeElement.firstElementChild;\n        if (content) {\n            this.resizeObserver = new ResizeObserver(entries => {\n                // Run in angular zone to detect changes\n                this.zone.run(() => {\n                    if (entries.length > 0) {\n                        const height = entries[0].contentRect.height;\n                        if (height <= DESCRIPTION_HEIGHT_THRESHOLD) {\n                            this.canExpand = false;\n                            this.setExpanded(false);\n                        } else {\n                            this.canExpand = true;\n                        }\n                    }\n                });\n            });\n            this.resizeObserver.observe(content);\n        }\n    }\n\n    ngOnDestroy(): void {\n        if (this.resizeObserver) {\n            this.resizeObserver.disconnect();\n        }\n    }\n\n    openDeleteWorkspaceModal(): void {\n        this.workspaceModal.deleteWorkspace(this.workspace);\n    }\n\n    openEditWorkspaceModal(): void {\n        this.workspaceModal.editWorkspace(this.workspace, 'header');\n    }\n\n    openMembersModal(): void {\n        this.workspaceModal.editWorkspace(this.workspace, 'header', [EditTabs.PERMISSIONS]);\n    }\n\n    setExpanded(expanded: boolean): void {\n        if (expanded !== this.isExpanded) {\n            this.isExpanded = expanded;\n            this.descriptionEl.nativeElement.scrollTop = 0;\n        }\n    }\n\n}\n","import { Component, ChangeDetectionStrategy, Input, OnChanges, SimpleChanges } from '@angular/core';\nimport { Workspace } from \"src/generated-sources\";\n\n@Component({\n    selector: 'dss-workspace-object-link-favicon',\n    template: '<img [src]=\"imgSrc\" alt=\"\" [class.icon-link]=\"!imgSrc\" (error)=\"handleImgError()\">',\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class WorkspaceObjectLinkFaviconComponent implements OnChanges {\n    @Input() object: Workspace.WorkspaceObject | null;\n\n    imgSrc?: string;\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (changes.object) {\n            if (this.object?.htmlLink?.url) {\n                this.imgSrc = `${this.object.htmlLink.url}/favicon.ico`;\n            } else {\n                this.imgSrc = undefined;\n            }\n        }\n    }\n\n    handleImgError(): void {\n        this.imgSrc = undefined;\n    }\n}\n","import { ChangeDetectionStrategy, Component } from \"@angular/core\";\nimport { WorkspaceModalService } from \"./services/workspace-modal.service\";\nimport { WorkspacesService } from \"./workspaces.service\";\n\n/**\n * Main entry point for workspaces\n * For now only used as a context service provider\n */\n@Component({\n    selector: 'workspaces',\n    template: '<ng-content></ng-content>',\n    providers: [\n        WorkspacesService,\n        WorkspaceModalService,\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class WorkspacesComponent {\n\n}\n","import { Injectable } from \"@angular/core\";\nimport { APIError, catchAPIError, ErrorContext } from \"@core/dataiku-api/api-error\";\nimport { DataikuAPIService } from \"@core/dataiku-api/dataiku-api.service\";\nimport { CurrentRouteService } from \"@core/nav/current-route.service\";\nimport { BehaviorSubject, Observable } from \"rxjs\";\nimport { distinctUntilChanged } from \"rxjs/operators\";\nimport { DataAugmentationService, DeepHubPreTrainModelingParams } from \"src/generated-sources\";\n@Injectable()\nexport class DataAugmentationFetchingService implements ErrorContext {\n    private error$ = new BehaviorSubject<APIError | undefined>(undefined);\n\n    constructor(private DataikuAPI: DataikuAPIService, private currentRoute: CurrentRouteService) {}\n    \n    pushError(error?: APIError) {\n        this.error$.next(error);\n    }\n\n    getError(): Observable<APIError | undefined> {\n        return this.error$.pipe(distinctUntilChanged());\n    }\n    \n    resetError() {\n        this.error$.next(undefined);\n    }\n\n    fetchAugmentedImagesData(imagePath: string, augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams, \n        numAugmentedVersions: number, applyMaxTransform: boolean, augmentationType: DataAugmentationService.AugmentationType) : Observable<DataAugmentationService.AugmentedImage[]> {\n        return this.DataikuAPI.analysis.getAugmentedImages(this.currentRoute.projectKey,\n                                                           this.currentRoute.analysisId,\n                                                           this.currentRoute.mlTaskId,\n                                                           augmentationParams,\n                                                           imagePath,\n                                                           numAugmentedVersions, \n                                                           applyMaxTransform, \n                                                           augmentationType).pipe(catchAPIError(this));\n    }\n\n    getRandomImagePaths(numImagePaths:number) :Observable<String[]> {\n        return this.DataikuAPI.analysis.getRandomImagePaths(this.currentRoute.projectKey,\n            this.currentRoute.analysisId,\n            this.currentRoute.mlTaskId,\n            numImagePaths).pipe(catchAPIError(this));\n    }\n}","<div class=\"w100 h100\">\n    <div class=\"w100\">\n        <api-error-alert\n            [apiError]=\"error$ | async\"\n            (resetError)=\"resetError()\"\n            [closable]=\"true\"\n        ></api-error-alert>\n    </div>\n    <div class=\"deephub-data-augmentation-page\" *ngIf=\"augmentationParams$ | async as augmentationParams\">\n        <div [formGroup]=\"form\" class=\"deephub-data-augmentation-page__params\">\n            <div formGroupName=\"colorJitter\" class=\"deephub-data-augmentation-page__section\">\n                <div class=\"deephub-data-augmentation-page__section-params\">\n                    <h2 class=\"mtop0 settings-section-title\">\n                        Color\n                    </h2>\n                    <div class=\"control-group\">\n                        <label class=\"dku-toggle mright4 mleft0\">\n                            <input type=\"checkbox\" formControlName=\"enabled\">\n                            <span></span>\n                        </label>\n                        Color\n                    </div>\n                </div>\n                <deephub-design-data-augmentation-augmented-image\n                    class=\"deephub-data-augmentation-page__section-image\"\n                    *ngIf=\"imagePath$ | async as imagePath\"\n                    [augmentationTypeInfo]=\"getAugmentationTypeInfo(AugmentationType.COLOR)\"\n                    [applyMaxTransform]=\"true\"\n                    [legend]= \"'Example of maximum color shift'\"\n                    [numAugmentedVersions]=\"1\"\n                    [augmentationParams]=\"augmentationParams\"\n                    [imagePath]=\"imagePath\"\n                    [imageHeight]=\"150\"\n                    [managedFolderSmartId]=\"managedFolderSmartId\">\n                </deephub-design-data-augmentation-augmented-image>\n            </div>\n            <div formGroupName=\"affine\" class=\"deephub-data-augmentation-page__section\">\n                <div class=\"deephub-data-augmentation-page__section-params\">\n                    <h2 class=\"mtop0 settings-section-title\">\n                        Affine\n                    </h2>\n                    <div class=\"control-group\" formGroupName=\"horizontalFlip\">\n                        <label class=\"dku-toggle mright4 mleft0\">\n                            <input type=\"checkbox\" formControlName=\"enabled\">\n                            <span></span>\n                        </label>\n                        Horizontal flip\n                    </div>\n                    <div class=\"control-group\" formGroupName=\"verticalFlip\">\n                        <label class=\"dku-toggle mright4 mleft0\">\n                            <input type=\"checkbox\" formControlName=\"enabled\">\n                            <span></span>\n                        </label>\n                        Vertical flip\n                    </div>\n                    <div formGroupName=\"rotate\">\n                        <div class=\"control-group\">\n                            <label class=\"dku-toggle mright4 mleft0\">\n                                <input type=\"checkbox\" formControlName=\"enabled\">\n                                <span></span>\n                            </label>\n                            Rotate\n                        </div>\n                        <div class=\"control-group control-group--with-text-input\">\n                            <label class=\"control-label\">Max. rotation</label>\n                            <input type=\"number\" min=\"0.\" max=\"360\" step=\"1\"  formControlName=\"maxRotation\"/>\n                        </div>\n                    </div>\n                </div>\n                <deephub-design-data-augmentation-augmented-image\n                    class=\"deephub-data-augmentation-page__section-image\"\n                    *ngIf=\"imagePath$ | async as imagePath\"\n                    [augmentationTypeInfo]=\"getAugmentationTypeInfo(AugmentationType.AFFINE)\"\n                    [applyMaxTransform]=\"true\"\n                    [legend]=\"'Example of maximum distortion'\"\n                    [numAugmentedVersions]=\"1\"\n                    [augmentationParams]=\"augmentationParams\"\n                    [imagePath]=\"imagePath\"\n                    [imageHeight]=\"150\"\n                    [managedFolderSmartId]=\"managedFolderSmartId\">\n                </deephub-design-data-augmentation-augmented-image>\n            </div>\n            <div formGroupName=\"crop\" class=\"deephub-data-augmentation-page__section\">\n                <div class=\"deephub-data-augmentation-page__section-params\">\n                    <h2 class=\"mtop0 settings-section-title\">\n                        Crop\n                    </h2>\n                    <div class=\"control-group\">\n                        <label class=\"dku-toggle mright4 mleft0\">\n                            <input type=\"checkbox\" formControlName=\"enabled\">\n                            <span></span>\n                        </label>\n                        Crop\n                    </div>\n                    <div class=\"control-group control-group--with-text-input\">\n                        <label class=\"control-label\">Min. kept ratio</label>\n                        <input type=\"number\" min=\"0.01\" max=\"1\" step=\"0.01\" formControlName=\"minKeptRatio\"/>\n                    </div>\n                </div>\n                <deephub-design-data-augmentation-augmented-image\n                    class=\"deephub-data-augmentation-page__section-image\"\n                    *ngIf=\"imagePath$ | async as imagePath\"\n                    [augmentationTypeInfo]=\"getAugmentationTypeInfo(AugmentationType.CROP)\"\n                    [applyMaxTransform]=\"true\"\n                    [legend]=\"'Example of maximum crop'\"\n                    [numAugmentedVersions]=\"1\"\n                    [augmentationParams]=\"augmentationParams\"\n                    [imagePath]=\"imagePath\"\n                    [imageHeight]=\"150\"\n                    [managedFolderSmartId]=\"managedFolderSmartId\">\n                </deephub-design-data-augmentation-augmented-image>\n            </div>\n        </div>\n        <div class=\"deephub-data-augmentation-page__images\" *ngIf=\"imagePath$ | async as imagePath\">\n            <div>\n                <div class=\"mtop0 settings-section-title\">\n                    <span class=\"dibvam mright16\">\n                        Original image\n                    </span>\n                    <button class=\"btn btn--text btn--primary\" (click)=\"getNewImagePath()\">\n                        Change image\n                    </button>\n                </div>\n                <img class=\"original-image\" [src]=\"getImagePath(imagePath)\">\n            </div>\n            <div>\n                <div class=\"settings-section-title\">\n                    <span class=\"dibvam\">\n                        Augmentation examples\n                    </span>\n                </div>\n\n                <div class=\"placeholder-block\" *ngIf=\"augmentationParamsDisabled$ | async\">\n                    All augmentation params disabled.\n                </div>\n\n                <deephub-design-data-augmentation-augmented-image\n                    *ngIf=\"! (augmentationParamsDisabled$ | async)\"\n                    [numAugmentedVersions]=\"6\"\n                    [augmentationParams]=\"augmentationParams\"\n                    [imagePath]=\"imagePath\"\n                    [imageHeight]=\"150\"\n                    [managedFolderSmartId]=\"managedFolderSmartId\">\n                </deephub-design-data-augmentation-augmented-image>\n            </div>\n        </div>\n    </div>\n</div>","import { ChangeDetectionStrategy, Component, EventEmitter, Input, OnInit, Output } from \"@angular/core\";\nimport { FormBuilder, FormGroup, Validators } from \"@angular/forms\";\nimport { CurrentRouteService } from \"@core/nav/current-route.service\";\nimport { UntilDestroy, untilDestroyed } from \"@ngneat/until-destroy\";\nimport { resolveSmartName } from \"@utils/loc\";\nimport { ManagedFolder } from \"@utils/managed-folder\";\nimport { cloneDeep } from \"lodash\";\nimport { Observable, Subject } from \"rxjs\";\nimport { filter, map, startWith } from \"rxjs/operators\";\nimport { DataAugmentationService, DeepHubPreTrainModelingParams } from \"src/generated-sources\";\nimport { DataAugmentationFetchingService } from \"./data-augmentation.service\";\n\n\nexport class AugmentationTypeInfo {\n    augmentationType: DataAugmentationService.AugmentationType;\n\n    constructor(augmentationType: DataAugmentationService.AugmentationType) {\n        this.augmentationType = augmentationType;\n    }\n\n    getKeyOfAugmentationParams(): keyof DeepHubPreTrainModelingParams.ImageAugmentationParams {\n        switch(this.augmentationType) {\n            case DataAugmentationService.AugmentationType.COLOR:\n                return \"colorJitter\";\n            case DataAugmentationService.AugmentationType.AFFINE:\n                return \"affine\"\n            case DataAugmentationService.AugmentationType.CROP:\n                return \"crop\";\n        }\n    }\n\n    isDisabled(augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams): boolean {\n        switch(this.augmentationType) {\n            case DataAugmentationService.AugmentationType.COLOR:\n                return !augmentationParams.colorJitter.enabled;\n            case DataAugmentationService.AugmentationType.AFFINE:\n                return (!augmentationParams.affine.horizontalFlip.enabled\n                     && !augmentationParams.affine.verticalFlip.enabled\n                     && !augmentationParams.affine.rotate.enabled);\n            case DataAugmentationService.AugmentationType.CROP:\n                return !augmentationParams.crop.enabled;\n        }\n    }\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-design-data-augmentation',\n    templateUrl: './deephub-design-data-augmentation.component.html',\n    styleUrls: ['./deephub-design-data-augmentation.component.less'],\n    providers: [DataAugmentationFetchingService],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class DeephubDesignDataAugmentationComponent implements OnInit {\n\n    @Input() augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams;\n    @Input() managedFolderSmartId: string;\n    @Output() augmentationParamsChange = new EventEmitter<DeepHubPreTrainModelingParams.ImageAugmentationParams>();\n\n    imagePath$ = new Subject<String>();\n    augmentationParams$: Observable<DeepHubPreTrainModelingParams.ImageAugmentationParams>;\n    augmentationParamsDisabled$: Observable<boolean>;\n    error$ = this.dataAugmentationFetchingService.getError();\n\n\n    form: FormGroup = this.fb.group({\n        colorJitter: this.fb.group({\n            enabled: this.fb.control(true, [Validators.required])\n        }),\n        affine: this.fb.group({\n            verticalFlip: this.fb.group({\n                enabled: this.fb.control(true, [Validators.required])\n            }),\n            horizontalFlip: this.fb.group({\n                enabled: this.fb.control(true, [Validators.required])\n            }),\n            rotate: this.fb.group({\n                enabled: this.fb.control(true, [Validators.required]),\n                maxRotation: this.fb.control(0, [Validators.required, Validators.min(0), Validators.max(360)]),\n            })\n        }),\n        crop: this.fb.group({\n            enabled: this.fb.control(true, [Validators.required]),\n            minKeptRatio: this.fb.control(0, [Validators.required, Validators.min(0.01), Validators.max(1.)]),\n        }),\n\n    })\n\n    constructor(private fb: FormBuilder,\n        private currentRoute: CurrentRouteService,\n        private dataAugmentationFetchingService: DataAugmentationFetchingService){\n\n    }\n\n    ngOnInit(): void {\n        this.form.patchValue(this.augmentationParams);\n\n        this.augmentationParams$ = this.form.valueChanges.pipe(\n            untilDestroyed(this),\n            startWith(this.augmentationParams),\n            filter(() => {\n                return this.form.valid;\n            }),\n            map(() => {\n                return this.augmentationParamsFromForm(this.form.getRawValue())}) // use raw value to also get disabled controls\n        );\n\n        this.augmentationParams$.subscribe(augmentationParams => {\n            this.augmentationParamsChange.emit(augmentationParams);\n            this.toggleFormDisable();\n        });\n\n        this.augmentationParamsDisabled$ = this.augmentationParams$.pipe(map(this.augmentationDisabled));\n\n        this.getNewImagePath();\n    }\n\n\n    private augmentationParamsFromForm(formValue: DeepHubPreTrainModelingParams.ImageAugmentationParams): DeepHubPreTrainModelingParams.ImageAugmentationParams {\n        // Patching formValue with other non form parameters;\n        const augmentationParams = cloneDeep(this.augmentationParams);\n\n        augmentationParams.affine.horizontalFlip.enabled = formValue.affine.horizontalFlip.enabled;\n        augmentationParams.affine.verticalFlip.enabled = formValue.affine.verticalFlip.enabled;\n        augmentationParams.affine.rotate.enabled = formValue.affine.rotate.enabled;\n        augmentationParams.affine.rotate.maxRotation = formValue.affine.rotate.maxRotation;\n        augmentationParams.colorJitter.enabled = formValue.colorJitter.enabled;\n        augmentationParams.crop.enabled = formValue.crop.enabled;\n        augmentationParams.crop.minKeptRatio = formValue.crop.minKeptRatio;\n\n        return augmentationParams;\n    }\n\n    // Small utility to enable/disable all controls of a group if the \"enabled\" toggle was triggered\n    private toggleFormDisable() {\n        // For the future reader, I have tried to have something more generic and more clever than\n        // going and fetch the known groups that we may want to enable / disable but it turned out\n        // too complex\n        const cropGroup = this.form.get(\"crop\") as FormGroup;\n        this.toggleControl(cropGroup, \"minKeptRatio\");\n\n        const rotateGroup = this.form.get(\"affine\")?.get(\"rotate\") as FormGroup;\n        this.toggleControl(rotateGroup, \"maxRotation\");\n    }\n\n    private toggleControl(formGroup: FormGroup, controlName: string) {\n        // Do not emit events in order not to trigger infinte value changes in the form\n        const enabled = formGroup?.get(\"enabled\")?.value;\n        if (enabled) {\n            formGroup.get(controlName)?.enable({emitEvent: false});\n        } else {\n            formGroup.get(controlName)?.disable({emitEvent: false});\n        }\n    }\n\n    private augmentationDisabled(augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams) : boolean {\n        return Object.values(DataAugmentationService.AugmentationType).map(augmentationType => new AugmentationTypeInfo(augmentationType))\n                                                                      .every(augmentationTypeInfo => augmentationTypeInfo.isDisabled(augmentationParams));\n    }\n\n    getImagePath(itemPath: string): string {\n        return new ManagedFolder(resolveSmartName(this.currentRoute.projectKey, this.managedFolderSmartId), this.currentRoute.projectKey).getImagePath(itemPath);\n    }\n\n    resetError() {\n        this.dataAugmentationFetchingService.resetError();\n    }\n\n    get AugmentationType() {\n        return DataAugmentationService.AugmentationType;\n    }\n\n    getAugmentationTypeInfo(augmentationType: DataAugmentationService.AugmentationType): AugmentationTypeInfo {\n        return new AugmentationTypeInfo(augmentationType);\n    }\n\n    getNewImagePath() {\n        this.dataAugmentationFetchingService.getRandomImagePaths(1).pipe(untilDestroyed(this)).subscribe((imagesPath) => {\n            this.imagePath$.next(imagesPath[0]);\n        });\n    };\n}\n","// In this file, we make Angular components available to AngularJS\n//\n// - ! - WARNING - ! -\n//\n// - You have to redeclare the selector for directives, with the AngularJS convention:\n// ex: for myDirective to match my-directive markup.\n// The selector metadata of the downgraded Angular component is ignored.\n// For simplicity, make sure what you write corresponds to the component definition,\n// In the Component file:\n//     selector: 'my-directive',\n// here:\n//  angular.module(...).directive('myDirective', ...)\n\nimport { Type } from '@angular/core';\nimport { DowngradedCredentialsListComponent } from '@app/widgets/lists/credentials-list/downgraded/downgraded-credentials-list.component';\nimport { DowngradedValuesListComponent } from '@app/widgets/lists/values-list/downgraded/downgraded-values-list.component';\nimport { DowngradedKeyValuesListComponent } from '@app/widgets/lists/key-values-list/downgraded/downgraded-key-values-list.component';\nimport { downgradeComponent } from '@angular/upgrade/static';\nimport { fairAny, LazyEchartComponent } from 'dku-frontend-core';\nimport { EdaComponent } from '@features/eda/eda.component';\nimport { InsightCardComponent } from '@features/eda/worksheet/cards/insight-card/insight-card.component';\nimport { DowngradedConnectionPropertiesListComponent } from '@app/widgets/lists/connection-properties-list/downgraded/downgraded-connection-properties-list.component';\nimport { WorksheetRedirectionPageComponent } from '@features/eda/pages/worksheet-redirection-page/worksheet-redirection-page.component';\nimport { DowngradedEditTypeaheadInputComponent } from '@app/widgets/inputs/edit-typeahead-input/downgraded/downgraded-edit-typeahead-input.component';\nimport { DeephubImageClassificationDesignImageFeedComponent } from '@features/deephub/image-classification/design/image-feed-provider/deephub-image-classification-design-image-feed.component';\nimport { DeephubObjectDetectionDesignImageFeedComponent } from '@features/deephub/object-detection/design/image-feed-provider/deephub-object-detection-design-image-feed.component';\nimport { DeephubObjectDetectionReportComponent } from '@features/deephub/object-detection/report/deephub-object-detection-report.component';\nimport { DeephubImageClassificationReportComponent } from '@features/deephub/image-classification/report/deephub-image-classification-report.component';\nimport { WorkspacesLeftMenuComponent } from '@features/workspaces/layout/workspaces-left-menu/workspaces-left-menu.component';\nimport { WorkspaceHeaderComponent } from '@features/workspaces/workspace/workspace-header/workspace-header.component';\nimport { WorkspacePermissionsEditionComponent } from '@features/workspaces/workspace/workspace-permissions-edition/workspace-permissions-edition.component';\nimport { WorkspaceGeneralEditionComponent } from '@features/workspaces/workspace/workspace-general-edition/workspace-general-edition.component';\nimport { WorkspaceObjectLinkFaviconComponent } from '@features/workspaces/workspace/workspace-object-link-favicon/workspace-object-link-favicon.component';\nimport { WorkspacesComponent } from '@features/workspaces/workspaces.component';\nimport { DeephubDesignDataAugmentationComponent } from '@features/deephub/computer-vision/design/data-augmentation/deephub-design-data-augmentation.component';\n\nfunction directive(ajsDirective: string, component: Type<any>, inputs?: string[], outputs?: string[]): Type<any> {\n    const angularJS = (window as fairAny).angular;\n    angularJS.module('dataiku').directive(ajsDirective, downgradeComponent({ component, inputs, outputs, propagateDigest: false }));\n    return component;\n}\n\nexport function downgradeComponents(): Array<Type<any>> {\n    return [\n        directive('ng2KeyValuesList', DowngradedKeyValuesListComponent),\n        directive('ng2ValuesList', DowngradedValuesListComponent),\n        directive('ng2CredentialsList', DowngradedCredentialsListComponent),\n        directive('ng2ConnectionPropertiesList', DowngradedConnectionPropertiesListComponent),\n        directive('ng2Eda', EdaComponent),\n        directive('ng2EdaWorksheetRedirectionPage', WorksheetRedirectionPageComponent),\n        directive('ng2EdaInsight', InsightCardComponent, ['insight', 'readOnly'], ['updated']),\n        directive('ng2LazyEchart', LazyEchartComponent),\n        directive('ng2Typeahead', DowngradedEditTypeaheadInputComponent),\n        directive(\"ng2DeephubImageClassificationDesignImageFeed\", DeephubImageClassificationDesignImageFeedComponent),\n        directive(\"ng2DeephubObjectDetectionDesignImageFeed\", DeephubObjectDetectionDesignImageFeedComponent),\n        directive(\"ng2DeephubDesignDataAugmentation\", DeephubDesignDataAugmentationComponent),\n        directive(\"ng2DeephubObjectDetectionReport\", DeephubObjectDetectionReportComponent),\n        directive(\"ng2DeephubImageClassificationReport\", DeephubImageClassificationReportComponent),\n        directive(\"ng2Workspaces\", WorkspacesComponent),\n        directive(\"ng2WorkspacesLeftMenu\", WorkspacesLeftMenuComponent),\n        directive(\"ng2WorkspaceHeader\", WorkspaceHeaderComponent),\n        directive(\"ng2WorkspacePermissionsEdition\", WorkspacePermissionsEditionComponent),\n        directive(\"ng2WorkspaceGeneralEdition\", WorkspaceGeneralEditionComponent),\n        directive(\"ng2WorkspaceObjectLinkFavicon\", WorkspaceObjectLinkFaviconComponent),\n    ];\n}\n","import { FutureResponse, SerializedError } from 'dku-frontend-core';\nimport { Dict, fairAny } from 'dku-frontend-core';\nimport { EnrichedPromise } from '@core/dataiku-api/utils/enriched-promise';\nimport { BackendResponse } from '@core/requests/dku-legacy-http.service';\n\n// This file groups all the Providers (in particular for Services) defined in AngularJS but used in Angular\n// If possible, move those providers to Angular and downgrade them to keep them accessible in AngularJS if necessary\n\n//\n// ** WARNING **\n//\n// Need to export factories for prod compilation (make sure ng buid --prod works if you change this)\n\nexport function stateUtilsFactory($injector: { get: Function }) {\n    return $injector.get('StateUtils');\n}\n\nconst stateUtilsProvider = {\n    provide: 'StateUtils',\n    useFactory: stateUtilsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function APIXHRServiceFactory($injector: { get: Function }) {\n    return $injector.get('APIXHRService');\n}\n\nconst APIXHRServiceProvider = {\n    provide: 'APIXHRService',\n    useFactory: APIXHRServiceFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function DataikuAPIFactory($injector: { get: Function }) {\n    return $injector.get('DataikuAPI');\n}\n\nconst DataikuAPIProvider = {\n    provide: 'DataikuAPI',\n    useFactory: DataikuAPIFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function GraphZoomTrackerServiceFactory($injector: { get: Function }) {\n    return $injector.get('GraphZoomTrackerService');\n}\n\nconst GraphZoomTrackerServiceProvider = {\n    provide: 'GraphZoomTrackerService',\n    useFactory: GraphZoomTrackerServiceFactory,\n    deps: ['$injector']\n};\n\n\n// -----------------\n\nexport function DatasetUtilsFactory($injector: { get: Function }) {\n    return $injector.get('DatasetUtils');\n}\n\nconst DatasetUtilsProvider = {\n    provide: 'DatasetUtils',\n    useFactory: DatasetUtilsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function CachedAPICallsFactory($injector: { get: Function }) {\n    return $injector.get('CachedAPICalls');\n}\n\nconst CachedAPICallsProvider = {\n    provide: 'CachedAPICalls',\n    useFactory: CachedAPICallsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function FutureWatcherFactory($injector: { get: Function }) {\n    return $injector.get('FutureWatcher');\n}\n\nconst FutureWatcherProvider = {\n    provide: 'FutureWatcher',\n    useFactory: FutureWatcherFactory,\n    deps: ['$injector']\n};\nexport interface FutureWatcherType {\n    watchJobId(jobId: string): EnrichedPromise<BackendResponse<FutureResponse>>;\n}\n\n// -----------------\n\nexport function FutureProgressModalFactory($injector: { get: Function }) {\n    return $injector.get('FutureProgressModal');\n}\n\nconst FutureProgressModalProvider = {\n    provide: 'FutureProgressModal',\n    useFactory: FutureProgressModalFactory,\n    deps: ['$injector']\n};\nexport interface FutureProgressModalType {\n    showPeekOnlyIfRunning(parentScope: fairAny, jobId: string, modalTitle: string): Promise<BackendResponse<FutureResponse>>;\n    show(parentScope: fairAny, data: fairAny, modalTitle: string): fairAny;\n}\n\n// -----------------\n\nexport function FutureWaitingFactory($injector: { get: Function }) {\n    return $injector.get('futureWaiting');\n}\n\nconst FutureWaitingProvider = {\n    provide: 'futureWaiting',\n    useFactory: FutureWaitingFactory,\n    deps: ['$injector', 'DataikuAPI']\n};\n\n// -----------------\n\nexport function ProgressStackMessageBuilderFactory($injector: { get: Function }) {\n    return $injector.get('ProgressStackMessageBuilder');\n}\n\nconst ProgressStackMessageBuilderProvider = {\n    provide: 'ProgressStackMessageBuilder',\n    useFactory: ProgressStackMessageBuilderFactory,\n    deps: ['$injector',]\n};\n\n// -----------------\n\nexport function DKUConstantsFactory($injector: { get: Function }) {\n    return $injector.get('DKUConstants');\n}\n\nconst DKUConstantsProvider = {\n    provide: 'DKUConstants',\n    useFactory: DKUConstantsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function LegacyDialogsFactory($injector: { get: Function }) {\n    return $injector.get('Dialogs');\n}\n\nconst LegacyDialogsProvider = {\n    provide: 'legacyDialogs',\n    useFactory: LegacyDialogsFactory,\n    deps: ['$injector', 'CreateModalFromTemplate', '$state', 'DKUConstants']\n};\n\nexport interface LegacyDialogs {\n    displaySerializedError($scope: any, e: SerializedError): void;\n}\n// -----------------\n\nexport function $stateFactory($injector: { get: Function }) {\n    return $injector.get('$state');\n}\n\nconst $stateProvider = {\n    provide: '$state',\n    useFactory: $stateFactory,\n    deps: ['$injector']\n};\nexport type $stateType = { current: { name: string, url:string }, go: Function, href: Function, params: Dict<string> };\n\n\n// -----------------\n\nexport function $locationFactory($injector: { get: Function }) {\n    return $injector.get('$location');\n}\n\nconst $locationProvider = {\n    provide: '$location',\n    useFactory: $locationFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function StringUtilsFactory($injector: { get: Function }) {\n    return $injector.get('StringUtils');\n}\n\nconst StringUtilsProvider = {\n    provide: 'StringUtils',\n    useFactory: StringUtilsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function TopNavFactory($injector: { get: Function }) {\n    return $injector.get('TopNav');\n}\n\nconst TopNavProvider = {\n    provide: 'TopNav',\n    useFactory: TopNavFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function WT1Factory($injector: { get: Function }) {\n    return $injector.get('WT1');\n}\n\nconst WT1Provider = {\n    provide: 'WT1',\n    useFactory: WT1Factory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function $dkuSanitizeFactory($injector: { get: Function }) {\n    return $injector.get('$dkuSanitize');\n}\n\nconst $dkuSanitizeProvider = {\n    provide: '$dkuSanitize',\n    useFactory: $dkuSanitizeFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function ThrottleFactory($injector: { get: Function }) {\n    return $injector.get('Throttle');\n}\n\nconst ThrottleProvider = {\n    provide: 'Throttle',\n    useFactory: ThrottleFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function $rootScopeFactory($injector: { get: Function }) {\n    return $injector.get('$rootScope');\n}\n\nconst $rootScopeProvider = {\n    provide: '$rootScope',\n    useFactory: $rootScopeFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function ExportUtilsFactory($injector: { get: Function }) {\n    return $injector.get('ExportUtils');\n}\n\nconst ExportUtilsProvider = {\n    provide: 'ExportUtils',\n    useFactory: ExportUtilsFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function ExpressionsFactory($injector: { get: Function }) {\n    return $injector.get('Expressions');\n}\n\nconst ExpressionsProvider = {\n    provide: 'Expressions',\n    useFactory: ExpressionsFactory,\n    deps: ['$injector']\n};\n// -----------------\n\nexport function UpgradedFiltersFactory($injector: { get: Function }) {\n    return $injector.get('UpgradedFilters');\n}\n\nconst UpgradedFiltersProvider = {\n    provide: 'UpgradedFilters',\n    useFactory: UpgradedFiltersFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function localStorageServiceFactory($injector: { get: Function }) {\n    return $injector.get('localStorageService');\n}\n\nconst localStorageServiceProvider = {\n    provide: 'localStorageService',\n    useFactory: localStorageServiceFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function SamplingDataFactory($injector: { get: Function }) {\n    return $injector.get('SamplingData');\n}\n\nconst SamplingDataProvider = {\n    provide: 'SamplingData',\n    useFactory: SamplingDataFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function LoggerFactory($injector: { get: Function }) {\n    return $injector.get('Logger');\n}\n\nconst LoggerProvider = {\n    provide: 'Logger',\n    useFactory: LoggerFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function CreateModalFromTemplateFactory($injector: { get: Function }) {\n    return $injector.get('CreateModalFromTemplate');\n}\n\nconst CreateModalFromTemplateProvider = {\n    provide: 'CreateModalFromTemplate',\n    useFactory: CreateModalFromTemplateFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function SpinnerServiceFactory($injector: { get: Function }) {\n    return $injector.get('SpinnerService');\n}\n\nconst SpinnerServiceProvider = {\n    provide: 'SpinnerService',\n    useFactory: SpinnerServiceFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function ColorPaletteFactory($injector: { get: Function }) {\n    return $injector.get('COLOR_PALETTES');\n}\n\nconst ColorPaletteFactoryProvider = {\n    provide: 'COLOR_PALETTES',\n    useFactory: ColorPaletteFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function UserImageUrlFactory($injector: { get: Function }) {\n    return $injector.get('UserImageUrl');\n}\n\nconst UserImageUrlProvider = {\n    provide: 'UserImageUrl',\n    useFactory: UserImageUrlFactory,\n    deps: ['$injector']\n};\n\n// -----------------\n\nexport function WorkspaceDisplayServiceFactory($injector: { get: Function }) {\n    return $injector.get('WorkspaceDisplayService');\n}\n\nconst WorkspaceDisplayServiceProvider = {\n    provide: 'WorkspaceDisplayService',\n    useFactory: WorkspaceDisplayServiceFactory,\n    deps: ['$injector']\n};\n\n\n// -----------------\n\nexport function ATSurveyService($injector: { get: Function }) {\n    return $injector.get('ATSurveyService');\n}\n\nconst ATSurveyServiceProvider = {\n    provide: 'ATSurveyService',\n    useFactory: ATSurveyService,\n    deps: ['$injector']\n};\n\n\n// -----------------\n\nexport function upgradedProviders() {\n    return [\n        // Long term imports, to be removed when we totally remove AngularJS\n        $stateProvider,\n        $locationProvider,\n\n        // Services kept here until they are moved to Angular\n        stateUtilsProvider,\n        APIXHRServiceProvider,\n        DataikuAPIProvider,\n        DatasetUtilsProvider,\n        TopNavProvider,\n        WT1Provider,\n        FutureWatcherProvider,\n        FutureProgressModalProvider,\n        FutureWaitingProvider,\n        ProgressStackMessageBuilderProvider,\n        ThrottleProvider,\n        $rootScopeProvider,\n        CachedAPICallsProvider,\n        $dkuSanitizeProvider,\n        ExportUtilsProvider,\n        UpgradedFiltersProvider,\n        localStorageServiceProvider,\n        GraphZoomTrackerServiceProvider,\n        LoggerProvider,\n        CreateModalFromTemplateProvider,\n        SpinnerServiceProvider,\n        DKUConstantsProvider,\n        LegacyDialogsProvider,\n        StringUtilsProvider,\n        ExpressionsProvider,\n        SamplingDataProvider,\n        ColorPaletteFactoryProvider,\n        UserImageUrlProvider,\n        WorkspaceDisplayServiceProvider,\n        ATSurveyServiceProvider,\n    ];\n}\n","import {NgModule} from '@angular/core';\nimport {CommonModule} from '@angular/common';\nimport {DkuBsSelectComponent} from './selection/dku-bs-select/dku-bs-select.component';\nimport {AngularjsDkuBsSelectDirective} from '@app/widgets/selection/dku-bs-select/angularjs-dku-bs-select.directive';\nimport { DkuPopoverTriggerDirective } from './dropdowns/dku-popover-trigger.directive';\nimport { DkuPopoverComponent } from './dropdowns/dku-popover/dku-popover.component';\nimport { DkuBsSelectFormControlComponent } from '@shared/dku-bs-select-form-control/dku-bs-select-form-control.component';\nimport { OverlayModule } from '@angular/cdk/overlay';\nimport { AngularjsDatasetSelectionOrderingDirective } from '@shared/components/dataset-selection-ordering-fields/angularjs-dataset-selection-ordering.directive';\nimport { DatasetSelectionOrderingFieldsComponent } from '@shared/components/dataset-selection-ordering-fields/dataset-selection-ordering-fields.component';\nimport { DatasetSelectorComponent } from './selection/dataset-selector/dataset-selector.component';\nimport { AngularjsDatasetSelectorDirective } from './selection/dataset-selector/angularjs-dataset-selector.directive';\nimport { DatasetSelectorFormControlComponent } from './selection/dataset-selector/dataset-selector-form-control.component';\n\n@NgModule({\n    declarations: [\n        DkuBsSelectComponent,\n        AngularjsDkuBsSelectDirective,\n        AngularjsDatasetSelectionOrderingDirective,\n        AngularjsDatasetSelectorDirective,\n        DkuPopoverTriggerDirective,\n        DkuPopoverComponent,\n        DkuBsSelectFormControlComponent,\n        DatasetSelectionOrderingFieldsComponent,\n        DatasetSelectorComponent,\n        DatasetSelectorFormControlComponent\n    ],\n    imports: [\n        CommonModule,\n        OverlayModule\n    ],\n    exports: [\n        DkuBsSelectComponent,\n        DkuPopoverTriggerDirective,\n        DkuPopoverComponent,\n        DkuBsSelectFormControlComponent,\n        DatasetSelectionOrderingFieldsComponent,\n        DatasetSelectorComponent,\n        DatasetSelectorFormControlComponent\n    ]\n})\nexport class WidgetsModule {\n}\n","import { NgModule } from '@angular/core';\nimport { EditableListInputComponent } from './editable-list-input.component';\nimport { ReactiveFormsModule, FormsModule } from '@angular/forms';\nimport { MatAutocompleteModule } from '@angular/material/autocomplete';\nimport { MatInputModule } from '@angular/material/input';\nimport { MatFormFieldModule } from '@angular/material/form-field';\nimport { MatOptionModule } from '@angular/material/core';\nimport { CommonModule } from '@angular/common';\n\n@NgModule({\n    declarations: [\n        EditableListInputComponent\n    ],\n    imports: [\n        CommonModule,\n        ReactiveFormsModule,\n        FormsModule,\n        MatAutocompleteModule,\n        MatInputModule,\n        MatFormFieldModule,\n        MatOptionModule\n    ],\n    exports: [\n        EditableListInputComponent\n    ]\n})\nexport class EditableListInputModule { }\n","import { NgModule } from '@angular/core';\nimport { BrowserModule } from '@angular/platform-browser';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { DragDropModule } from '@angular/cdk/drag-drop';\nimport { EditableListComponent, EditableListArrowComponent, EditableListTemplateComponent, EditableListDeleteComponent, EditableListDragComponent } from './editable-list.component';\nimport { EditableListInputComponent } from '../editable-list-input/editable-list-input.component';\nimport { EditableListInputModule } from '../editable-list-input/editable-list-input.module';\n\n@NgModule({\n    declarations: [\n        EditableListComponent,\n        EditableListTemplateComponent,\n        EditableListArrowComponent,\n        EditableListDeleteComponent,\n        EditableListDragComponent\n    ],\n    imports: [\n        BrowserModule,\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        DragDropModule,\n        EditableListInputModule\n    ],\n    exports: [\n        EditableListComponent,\n        EditableListTemplateComponent,\n        EditableListArrowComponent,\n        EditableListDeleteComponent,\n        EditableListDragComponent,\n        EditableListInputComponent\n    ]\n})\nexport class EditableListModule { }\n","import { NgModule } from '@angular/core';\nimport { EditableListModule } from '../editable-list/editable-list.module';\nimport { KeyValuesListComponent } from './key-values-list.component';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { CommonModule } from '@angular/common';\nimport { DowngradedKeyValuesListComponent } from './downgraded/downgraded-key-values-list.component';\n\n\n@NgModule({\n    declarations: [  \n        KeyValuesListComponent, \n        DowngradedKeyValuesListComponent \n    ],\n    imports: [\n        EditableListModule,\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule\n    ],\n    exports: [ KeyValuesListComponent ],\n    entryComponents: [ DowngradedKeyValuesListComponent ]\n})\nexport class KeyValuesListModule { }\n","import { NgModule } from '@angular/core';\nimport { EditableListModule } from '../editable-list/editable-list.module';\nimport { ValuesListComponent } from './values-list.component';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { DowngradedValuesListComponent } from './downgraded/downgraded-values-list.component';\n\n\n@NgModule({\n    declarations: [ \n        ValuesListComponent, \n        DowngradedValuesListComponent \n    ],\n    imports: [\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        EditableListModule\n    ],\n    exports: [ ValuesListComponent ],\n    entryComponents: [ DowngradedValuesListComponent ]\n})\nexport class ValuesListModule { }\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { EditableListModule } from '../editable-list/editable-list.module';\nimport { CredentialsListComponent } from './credentials-list.component';\nimport { DowngradedCredentialsListComponent } from './downgraded/downgraded-credentials-list.component';\n\n\n@NgModule({\n    declarations: [ \n        CredentialsListComponent, \n        DowngradedCredentialsListComponent \n    ],\n    imports: [\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        EditableListModule\n    ],\n    exports: [ CredentialsListComponent ],\n    entryComponents: [ DowngradedCredentialsListComponent ]\n})\nexport class CredentialsListModule { }\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { CredentialsListModule } from '../credentials-list/credentials-list.module';\nimport { ConnectionPropertiesListComponent } from './connection-properties-list.component';\nimport { DowngradedConnectionPropertiesListComponent } from './downgraded/downgraded-connection-properties-list.component';\n\n\n@NgModule({\n    declarations: [ ConnectionPropertiesListComponent, DowngradedConnectionPropertiesListComponent ],\n    imports: [\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        CredentialsListModule\n    ],\n    exports: [ ConnectionPropertiesListComponent ],\n    entryComponents: [ DowngradedConnectionPropertiesListComponent ]\n})\nexport class ConnectionPropertiesListModule { }\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule } from '@angular/forms';\nimport { ModalHeaderComponent } from '@shared/modals/modal-header/modal-header.component';\nimport { ConfirmModalComponent } from '@shared/modals/confirm-modal/confirm-modal.component';\nimport { AckModalComponent } from '@shared/modals/ack-modal/ack-modal.component';\nimport { PromptModalComponent } from '@shared/modals/prompt-modal/prompt-modal.component';\nimport { SelectModalComponent } from '@shared/modals/select-modal/select-modal.component';\n\n@NgModule({\n    imports: [\n        CommonModule, FormsModule\n    ],\n    declarations: [\n        ModalHeaderComponent,\n        ConfirmModalComponent,\n        AckModalComponent,\n        PromptModalComponent,\n        SelectModalComponent,\n    ],\n    exports: [\n        ModalHeaderComponent,\n        ConfirmModalComponent,\n        AckModalComponent,\n        PromptModalComponent,\n        SelectModalComponent,\n    ],\n    entryComponents: [\n        ConfirmModalComponent,\n        AckModalComponent,\n        PromptModalComponent,\n        SelectModalComponent,\n    ]\n})\nexport class ModalsModule {\n}\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { SmartLogTailComponent } from './components/smart-log-tail/smart-log-tail.component';\nimport { ErrorFixability } from './components/error-fixability/error-fixability.component';\nimport { APIErrorAlertComponent } from './components/api-error-alert/api-error-alert.component';\n\n@NgModule({\n    imports: [\n        CommonModule\n    ],\n    declarations: [\n        ErrorFixability,\n        SmartLogTailComponent,\n        APIErrorAlertComponent\n    ],\n    exports: [\n        ErrorFixability,\n        SmartLogTailComponent,\n        APIErrorAlertComponent\n    ]\n})\nexport class DataikuAPIModule { }\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\n\n@NgModule({\n    imports: [\n        CommonModule\n    ]\n})\nexport class RequestsModule { }\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\n\n@NgModule({\n    imports: [\n        CommonModule\n    ],\n    declarations: []\n})\nexport class NavModule { \n    \n}\n","import {NgModule, Optional, SkipSelf} from '@angular/core';\nimport {CommonModule} from '@angular/common';\n\nimport { DataikuAPIModule } from '@core/dataiku-api/dataiku-api.module';\nimport { RequestsModule } from '@core/requests/requests.module';\nimport { NavModule } from '@core/nav/nav.module';\nimport { WaitingOverlayComponent } from './overlays/waiting-overlay/waiting-overlay.component';\n\n/*\n* This module and all sub-modules gather all Services that should be singletons and that will be loaded at startup\n* by AppModule. This module should not contain anything else\n*\n* For Components, Pipes and Services that don't need to be singletons and don't need to be loaded at all time\n* please use \"Shared\" (or Feature if there is no need to import from another Feature module)\n*\n*/\n@NgModule({\n    imports: [\n        CommonModule,\n        DataikuAPIModule,\n        NavModule,\n        RequestsModule,\n    ],\n    declarations: [\n        WaitingOverlayComponent\n    ],\n    providers: [],\n    entryComponents: [WaitingOverlayComponent]\n})\nexport class CoreModule {\n    // make sure CoreModule is imported only by the AppModule\n    constructor(\n        @Optional() @SkipSelf() parentModule: CoreModule\n    ) {\n        if (parentModule) {\n            throw new Error('CoreModule is already loaded. Import only in AppModule');\n        }\n    }\n}\n","import { Directive, Output, EventEmitter, Renderer2, ElementRef } from '@angular/core';\n\n@Directive({\n    selector: '[click.stop]'\n})\nexport class ClickStopDirective {\n    @Output(\"click.stop\") stopPropEvent = new EventEmitter();\n    unsubscribe: Function;\n\n    constructor(private renderer: Renderer2, private element: ElementRef) {\n    }\n\n    ngOnInit() {\n        this.unsubscribe = this.renderer.listen(this.element.nativeElement, \"click\", event => {\n            event.stopPropagation();\n            this.stopPropEvent.emit(event);\n        });\n    }\n\n    ngOnDestroy() {\n        this.unsubscribe();\n    }\n}\n","<div\n    class=\"card-suggestion\"\n    [class.selected]=\"isSelected\"\n    (dblclick)=\"showDetails.emit($event)\"\n    (click)=\"select.emit($event)\"\n>    \n    <div class=\"card-suggestion__title\">\n        <mat-checkbox\n            [checked]=\"isSelected\"\n            [class.mat-checkbox-disabled]=\"false\"\n            disabled\n        >\n            <span class=\"dku-text-sb\">\n                {{ proposedVisualization.name }}\n            </span>\n        </mat-checkbox>\n    </div>\n\n    <div class=\"card-suggestion__preview-container\"\n        [style.height.px]=\"thumbnailHeight\"\n        [style.width.px]=\"thumbnailWidth\">\n        <card-body\n            [params]=\"proposedVisualization.miniatureCard\"\n            [results]=\"proposedVisualization.miniatureResult\"\n            [readOnly]=\"true\"\n            [extendedActions]=\"false\"\n            [style.width.px]=\"desiredCardWidth\"\n            [style.height.px]=\"desiredCardHeight\"\n            [style.transform]=\"'scale('+ displayRatio +')'\"\n            [hasFixedHeight]=\"false\"\n            class=\"card-suggestion__preview\"\n        ></card-body> \n    </div>\n\n    <div class=\"card-suggestion__overlay\" [title]=\"proposedVisualization.name\"></div>\n\n    <i\n        class=\"preview-icon icon-zoom-in\"\n        (click.stop)=\"showDetails.emit($event)\"\n        matTooltip=\"Open preview\"\n        [qa]=\"{\n            'eda-assistant-preview-card': {\n                'card-id': proposedVisualization.card.id\n            }\n        }\"\n    ></i>\n\n    <i\n        *ngIf=\"isAlreadyIncludedInWorksheet\"\n        class=\"already-created-icon icon-dku-statistics\"\n        matTooltip=\"Already present in the worksheet\"\n    ></i>\n</div>\n","import { SuggestCards } from './../../../../../../generated-sources/src/main/java/com/dataiku/dip/eda/worksheets/queries/suggest-cards';\nimport { ChangeDetectionStrategy, Component, EventEmitter, Input, Output } from \"@angular/core\";\nimport { isAbstractHeaderCard, isACFPlotCard, isPCACard } from 'src/generated-sources';\n\n@Component({\n    selector: 'proposed-card',\n    templateUrl: './proposed-card.component.html',\n    styleUrls: ['./proposed-card.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ProposedCard {\n    @Input() isSelected: boolean;\n    @Input() isAlreadyIncludedInWorksheet: boolean;\n    @Input() proposedVisualization: SuggestCards.SuggestedCard;\n    @Output() select: EventEmitter<any> = new EventEmitter();\n    @Output() showDetails: EventEmitter<any> = new EventEmitter();\n\n    thumbnailWidth = 260;\n    thumbnailHeight = 80;\n\n    get desiredCardHeight() {\n        if(this.isWideThumbnail && this.isLongThumbnail) {\n            return 650;\n        }\n        if(this.isWideThumbnail) {\n            return 400;\n        }\n        if(this.isLongThumbnail) {\n            return 650;\n        }\n        return 200;\n    }\n\n    get desiredCardWidth() {\n        if(this.isWideThumbnail && this.isLongThumbnail) {\n            return 1300;\n        }\n        if(this.isWideThumbnail) {\n            return 1300;\n        }\n        if(this.isLongThumbnail) {\n            return 650;\n        }\n        return 650;\n    }\n\n    get displayRatio() {\n        const widthRatio = this.thumbnailWidth / this.desiredCardWidth;\n        const heightRatio = this.thumbnailHeight / this.desiredCardHeight;\n        return Math.min(widthRatio, heightRatio, 1.0)\n    }\n\n    get isWideThumbnail(): boolean {\n        const { card } = this.proposedVisualization;\n        return isAbstractHeaderCard(card)\n            || isPCACard(card)\n            || isACFPlotCard(card);\n    }\n\n    get isLongThumbnail(): boolean {\n        const { card } = this.proposedVisualization;\n        return !isAbstractHeaderCard(card) && card.splitBy != null;\n    }\n}\n","<div class=\"modal modal3\">\n    <modal-header\n        [title]=\"params | cardTitle: 'full'\"\n        [hasBorder]=\"false\"\n    ></modal-header>\n    <div class=\"modal-body\">\n        <drag-scroll [dragEnabled]=\"isDragScrollable\">\n            <card-body\n                class=\"card-preview\"\n                [params]=\"params\"\n                [results]=\"results\"\n                [readOnly]=\"true\"\n                [extendedActions]=\"false\"\n                [hasFixedHeight]=\"true\"\n                [renderingMode]=\"CardBodyRenderingMode.TOP_LEVEL_CARD\"\n                [qa]=\"'eda-assistant-preview'\"\n            ></card-body>\n        </drag-scroll>\n    </div>\n    <div class=\"modal-footer modal-footer-std-buttons\">\n        <div class=\"pull-right\">\n            <button\n                type=\"button\"\n                class=\"btn btn--text btn--secondary\"\n                (click)=\"dismiss()\"\n            >\n                Cancel\n            </button>\n\n            <button\n                *ngIf=\"!isSelected\"\n                type=\"submit\"\n                class=\"btn btn--text btn--primary\"\n                (click)=\"toggleSelection()\"\n                [qa]=\"'eda-assistant-select-preview'\"\n            >\n                Select card\n            </button>\n        </div>\n    </div>\n</div>\n","import { ChangeDetectionStrategy, Component, Inject } from \"@angular/core\";\nimport { MatDialogRef, MAT_DIALOG_DATA } from '@angular/material/dialog';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { UntilDestroy } from '@ngneat/until-destroy';\nimport { Card, CardResult, isBivariateHeaderCard, isUnivariateHeaderCard } from 'src/generated-sources';\n\nexport interface CardPreviewModalComponentData {\n    params: Card\n    results: CardResult\n    isSelected: boolean\n}\n\nexport interface CardPreviewModalComponentAction {\n    toggleSelection: boolean\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'card-preview-modal',\n    templateUrl: './card-preview-modal.component.html',\n    styleUrls: ['./card-preview-modal.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class CardPreviewModalComponent {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n    params: Card;\n    results: CardResult;\n    isSelected: boolean;\n\n    constructor(\n        @Inject(MAT_DIALOG_DATA) private data: CardPreviewModalComponentData,\n        private dialogRef: MatDialogRef<CardPreviewModalComponent>\n    ) {\n        this.params = data.params;\n        this.results = data.results;\n        this.isSelected = data.isSelected;\n    }\n\n    get isDragScrollable(): boolean {\n        return isUnivariateHeaderCard(this.params)\n            || isBivariateHeaderCard(this.params);\n    }\n\n    toggleSelection() {\n        const action: CardPreviewModalComponentAction = {\n            toggleSelection: true,\n        };\n\n        this.dialogRef.close(action);\n    }\n\n    dismiss() {\n        const action: CardPreviewModalComponentAction = {\n            toggleSelection: false,\n        };\n\n        this.dialogRef.close(action);\n    }\n}\n","<div [qa]=\"'eda-assistant'\">\n    <div *ngIf=\"isFirstRun\" class=\"top-level-info-container\">\n        <div *ngIf=\"apiError$ | async as apiError; else loadingMessage\">\n            <div class=\"top-level-info dku-grand-title\">\n                An unexpected error occured <br>\n                You can close the assistant and try again\n            </div>\n\n            <div class=\"top-level-info-error-details\">\n                <api-error-alert\n                    [apiError]=\"apiError\"\n                    [closable]=\"false\"\n                ></api-error-alert>\n            </div>\n        </div>\n        <ng-template #loadingMessage>\n            <div class=\"top-level-info dku-grand-title\">\n                <i class=\"icon-spin icon-spinner\"></i>\n                <div>\n                    Select some features <br>\n                    and see which cards Dataiku suggests\n                </div>\n            </div>\n        </ng-template>\n    </div>\n\n    <div *ngIf=\"hasEmptyDataset\" class=\"top-level-info-container\">\n        <div class=\"top-level-info dku-grand-title\">\n            The dataset is empty <br>\n            This tool requires a non empty dataset in order to work properly\n        </div>\n    </div>\n\n    <ng-container *ngIf=\"!isFirstRun && !hasEmptyDataset\">\n        <div class=\"suggester-container\" [qa]=\"'eda-assistant--loaded'\">\n            <div class=\"suggested-variables-container\">\n                <div class=\"suggested-variables-name-filter std-list-search-box list-control-widget\">\n                    <span class=\"add-on\">\n                        <i class=\"icon-dku-search\"></i>\n                    </span>\n                    <input\n                        class=\"list__search-input\"\n                        type=\"search\"\n                        [(ngModel)]=\"nameFilter\"\n                        placeholder=\"Search variables...\"\n                    >\n                </div>\n\n                <div *ngIf=\"!hasSniffedVariables\">\n                    <div class=\"suggested-variables-no-match-info\">\n                        <h5>The filter did not match any variable name</h5>\n                    </div>\n                </div>\n\n                <div *ngIf=\"hasSniffedVariables\" class=\"suggested-variables-list\">\n                        <div\n                            *ngFor=\"let variable of variables; trackBy: trackByName\"\n                            class=\"suggested-variable\"\n                            [class.selected]=\"isVariableSelected(variable)\"\n                            (click)=\"toggleVariable(variable)\"\n                            [matTooltip]=\"formatExplanations(variable)\"\n                            matTooltipPosition=\"right\"\n                        >\n                            <div class=\"suggested-variable-description\">\n                                <mat-checkbox\n                                    [checked]=\"isVariableSelected(variable)\"\n                                    [class.mat-checkbox-disabled]=\"false\"\n                                    disabled\n                                >\n                                    <span\n                                        class=\"dku-text-sb\"\n                                        [title]=\"variable.name\"\n                                    >\n                                        <i\n                                            class=\"suggested-variable-type\"\n                                            [class.icon-number]=\"isContinuous(variable)\"\n                                            [class.icon-font]=\"isCategorical(variable)\"\n                                        ></i>\n                                        {{ variable.name }}\n                                    </span>\n                                </mat-checkbox>\n\n                                <mat-progress-bar\n                                    *ngIf=\"showVariableScore(variable)\"\n                                    mode=\"determinate\"\n                                    [value]=\"getVariableScore(variable)\"\n                                ></mat-progress-bar>\n                            </div>\n                                <card-body\n                                    class=\"suggested-variable-thumbnail\"\n                                    [renderingMode]=\"CardBodyRenderingMode.MINIATURE_CARD\"\n                                    [params]=\"variable.card\"\n                                    [results]=\"variable.result\"\n                                ></card-body>\n                        </div>\n                </div>\n            </div>\n\n            <div class=\"suggested-cards-container\">\n                <div class=\"selected-variables-container dku-small-title-sb\">\n                    <ng-container *ngIf=\"!hasSelectedVariables\">\n                        Select features and let Dataiku suggest interesting cards\n                    </ng-container>\n                    <ng-container *ngIf=\"hasSelectedVariables\">\n                        Suggested cards for\n                        <span\n                            *ngFor=\"let name of selectedVariableNames$ | async\"\n                            class=\"selected-variable\"\n                            (click)=\"unselectVariableName(name)\"\n                        >\n                            <span\n                                class=\"selected-variable-name\"\n                                [title]=\"name\"\n                            >\n                                {{ name }}\n                            </span>\n                            <span class=\"unselect-action\">\n                                &times;\n                            </span>\n                        </span>\n                    </ng-container>\n                </div>\n\n                <api-error-alert\n                    *ngIf=\"apiError$ | async as apiError\"\n                    [apiError]=\"apiError\"\n                    [closable]=\"true\"\n                    (resetError)=\"resetApiErrors()\"\n                >\n                </api-error-alert>\n\n                <div class=\"suggested-cards-list\">\n                    <proposed-card\n                        *ngFor=\"let suggestion of assistantSuggestions\"\n                        class=\"suggested-card\"\n                        [isSelected]=\"suggestion.isSelected\"\n                        [isAlreadyIncludedInWorksheet]=\"suggestion.isAlreadyIncludedInWorksheet\"\n                        [proposedVisualization]=\"suggestion.suggestedCard\"\n                        (select)=\"suggestion.toggleSelection()\"\n                        (showDetails)=\"openCardPreview(suggestion)\"\n                        [qa]=\"{\n                            'eda-assistant-suggestion': {\n                                'card-id': suggestion.card.id,\n                                'card-type': suggestion.card.type,\n                                selected: suggestion.isSelected\n                            }\n                        }\"\n                    >\n                    </proposed-card>\n                </div>\n            </div>\n        </div>\n    </ng-container>\n\n    <div\n        class=\"modal-footer modal-footer-std-buttons\"\n        [class.hidden-footer]=\"isFirstRun || hasEmptyDataset\"\n    >\n        <div class=\"pull-right\">\n            <button\n                type=\"button\"\n                class=\"btn btn--text btn--secondary\"\n                (click)=\"dismiss()\"\n                tabindex=\"-1\"\n            >\n                Cancel\n            </button>\n            <button\n                type=\"submit\"\n                form=\"config-form\"\n                class=\"btn btn--text btn--primary\"\n                [disabled]=\"!canSave()\"\n                (click)=\"save()\"\n                tabindex=\"-1\"\n                [wt1Click]=\"'worksheets_create-card'\"\n                [qa]=\"'eda-assistant-create-cards'\"\n            >\n                Create selected Cards\n            </button>\n        </div>\n        <div class=\"notification\" *ngIf=\"showSuggestCardsSpinner$ | async\">\n            <span class=\"notification-text dku-text\">\n                <i class=\"icon-spin icon-spinner\"></i>\n                Suggesting cards...\n            </span>\n            <button class=\"btn btn--text btn--danger\" (click)=\"abort()\">\n                Abort\n            </button>\n        </div>\n        <div class=\"notification\" *ngIf=\"showCardPreviewInterrupted$ | async\">\n            <span class=\"notification-text dku-text\">\n                <i class=\"icon-info-sign\"></i>\n                Card preview successfully interrupted\n            </span>\n        </div>\n    </div>\n</div>\n","import _ from 'lodash';\nimport deepEqual from 'fast-deep-equal';\nimport { Component, OnInit, OnDestroy, ChangeDetectorRef, ChangeDetectionStrategy, ViewContainerRef } from '@angular/core';\nimport { MatDialogRef } from '@angular/material/dialog';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { BehaviorSubject, combineLatest, Observable, concat, of, Subject, merge, EMPTY } from 'rxjs';\nimport { catchError, delay, filter, map, switchMap, takeUntil, tap, withLatestFrom } from 'rxjs/operators';\n\nimport { auditMap } from 'dku-frontend-core';\nimport { APIError, ErrorContext } from '@core/dataiku-api/api-error';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\nimport { SampleContextService } from '@features/eda/sample-context.service';\nimport { CardPreviewModalComponent, CardPreviewModalComponentAction, CardPreviewModalComponentData } from '@features/eda/worksheet/card-wizard/card-preview-modal/card-preview-modal.component';\nimport { NewCardModalComponent } from '@features/eda/worksheet/card-wizard/new-card-modal/new-card-modal.component';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { WorksheetContextService } from '@features/eda/worksheet-state/worksheet.context.service';\nimport { Card, CardResult, SuggestCards, Variable, WorksheetRootCard } from 'src/generated-sources';\nimport { clearCardIds, resetCardIds } from '@features/eda/card-utils';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { CollapsingService, NoopCollapsingService } from '@features/eda/collapsing.service';\n\nclass AssistantSuggestion {\n    public isSelected: boolean = false;\n    public isAlreadyIncludedInWorksheet: boolean = false;\n\n    constructor(public suggestedCard: SuggestCards.SuggestedCard) {}\n\n    public get card() {\n        return this.suggestedCard.card;\n    }\n\n    public toggleSelection() {\n        this.isSelected = !this.isSelected;\n    }\n}\n\nclass WT1Report {\n    private sessionStart = Date.now();\n    private variablesCount = 0;\n    private previewedCards: Card[] = [];\n    private suggestedCards: Card[] = [];\n    private selectedCards: Card[] = [];\n    private createdCards: Card[] = [];\n    private suggestionDurationsInMs: number[] = [];\n\n    constructor(private wt1Service: WT1Service) {}\n\n    setVariablesCount(count: number) {\n        this.variablesCount = count;\n    }\n\n    addPreviewedCard(card: Card) {\n        this.previewedCards.push(card);\n    }\n\n    addSuggestedCards(cards: Card[]) {\n        this.suggestedCards = this.suggestedCards.concat(cards);\n    }\n\n    setSelectedCards(cards: Card[]) {\n        this.selectedCards = cards;\n    }\n\n    addCreatedCards(cards: Card[]) {\n        this.createdCards = this.createdCards.concat(cards);\n    }\n\n    addSuggestionDuration(durationInMs: number) {\n        this.suggestionDurationsInMs.push(durationInMs);\n    }\n\n    send() {\n        const durationInMs = Date.now() - this.sessionStart;\n        const variablesCount = this.variablesCount;\n        const hasCreatedCards = this.createdCards.length > 0;\n        const suggestionQueriesCount = this.suggestionDurationsInMs.length;\n        const meanSuggestionDurationInMs = (suggestionQueriesCount > 0) ?\n            _.mean(this.suggestionDurationsInMs) : null;\n\n        const cardPreviewReport = _.countBy(this.previewedCards, it => it.type);\n        const cardSuggestionReport = _.countBy(this.suggestedCards, it => it.type);\n        const cardSelectionReport = _.countBy(this.selectedCards, it => it.type);\n        const cardCreationReport = _.countBy(this.createdCards, it => it.type);\n\n        this.wt1Service.event(\"statistics-worksheet-suggester-session\", {\n            durationInMs,\n            suggestionQueriesCount,\n            meanSuggestionDurationInMs,\n            variablesCount,\n            hasCreatedCards,\n            cardPreviewReport,\n            cardSuggestionReport,\n            cardSelectionReport,\n            cardCreationReport,\n        });\n    }\n}\n\nclass APIErrorContext implements ErrorContext {\n    private error$ = new BehaviorSubject<APIError | undefined>(undefined);\n\n    pushError(error?: APIError) {\n        this.error$.next(error);\n    }\n\n    resetError() {\n        this.error$.next(undefined);\n    }\n\n    getError(): Observable<APIError | undefined> {\n        return this.error$;\n    }\n}\n\n@UntilDestroy()\n@Component({\n    selector: 'automagic-sniffer',\n    templateUrl: './automagic-sniffer.component.html',\n    styleUrls: [\n        './automagic-sniffer.component.less'\n    ],\n    providers: [\n        {\n            provide: CollapsingService,\n            useClass: NoopCollapsingService,\n        },\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class AutomagicSnifferComponent implements OnInit, OnDestroy  {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n\n    private wt1Report: WT1Report\n\n    private suggestCardsErrorContext = new APIErrorContext();\n    private suggestCardsAborter$ = new Subject();\n    showSuggestCardsSpinner$ = new BehaviorSubject(false);\n\n    private cardPreviewErrorContext = new APIErrorContext();\n    showCardPreviewInterrupted$: Observable<boolean>;\n    apiError$: Observable<APIError | undefined>;\n\n    isFirstRun = true;\n    hasEmptyDataset = false;\n\n    variables: SuggestCards.SuggestedVariable[] = [];\n    selectedVariableNames$ = new BehaviorSubject<string[]>([]);\n\n    get hasSniffedVariables() {\n        return this.variables.length > 0;\n    }\n\n    get hasSelectedVariables() {\n        return this.selectedVariableNames$.getValue().length > 0;\n    }\n\n    assistantSuggestions: AssistantSuggestion[] = [];\n\n    get selectedAssistantSuggestions() {\n        return this.assistantSuggestions.filter(it => it.isSelected);\n    }\n\n    private nameFilter$ = new BehaviorSubject<string | null>(null);\n\n    get nameFilter() {\n        return this.nameFilter$.getValue();\n    }\n\n    set nameFilter(newVal) {\n        this.nameFilter$.next(newVal);\n    }\n\n    constructor(\n        private sampleContextService: SampleContextService,\n        private changeDetectorRef: ChangeDetectorRef,\n        private modalsService: ModalsService,\n        private dialogRef: MatDialogRef<NewCardModalComponent>,\n        private worksheetContextService: WorksheetContextService,\n        private wt1Service: WT1Service,\n        private viewContainerRef: ViewContainerRef\n    ) {\n        this.showCardPreviewInterrupted$ = this.cardPreviewErrorContext.getError()\n            .pipe(\n                filter(error => error?.errorType === \"FutureAbort\"),\n                switchMap(() =>\n                    concat(\n                        of(true),\n                        of(false).pipe(delay(2500))\n                    )\n                ),\n                untilDestroyed(this)\n            );\n\n        this.apiError$ = merge(\n            this.suggestCardsErrorContext.getError(),\n            this.cardPreviewErrorContext.getError()\n                .pipe(filter(error => error?.errorType !== \"FutureAbort\"))\n        ).pipe(untilDestroyed(this));\n    }\n\n    /**\n     * When a variable is selected (or removed from selection), this observable\n     * runs an interactive query to suggest cards. Subsequent variable updates\n     * are ignored until the current interactive query completes.\n     *\n     * @returns an Observable emitting the suggested cards\n     */\n    private getSuggestionsObservable(): Observable<SuggestCards.SuggestCardsResult> {\n        // Error handler when the interactive query fails.\n        const setApiErrorAndStopSpinner = (error: any) => {\n            this.suggestCardsErrorContext.pushError(error);\n            this.triggerSuggestCardsSpinner(false);\n            return EMPTY;\n        };\n\n        const interactiveQueryRunner = (variableNames: string[], rootCard: WorksheetRootCard) => {\n            const {\n                confidenceLevel,\n                showConfidenceInterval,\n                highlightFilter,\n            } = rootCard;\n\n            const query: SuggestCards = {\n                type: 'suggest_cards',\n                selectedVariables: variableNames,\n                assistantSettings: {\n                    confidenceLevel,\n                    showConfidenceInterval,\n                    highlightFilter,\n                },\n            };\n\n            const queryStart = Date.now();\n            this.triggerSuggestCardsSpinner(true);\n            return this.sampleContextService.runInteractiveQuery(query)\n                .pipe(\n                    catchError(setApiErrorAndStopSpinner),\n                    tap(() => {\n                        this.triggerSuggestCardsSpinner(false);\n                        const queryEnd = Date.now();\n                        this.wt1Report.addSuggestionDuration(queryEnd - queryStart);\n                    }),\n                    takeUntil(this.suggestCardsAborter$)\n                );\n        };\n\n        return this.selectedVariableNames$\n            .pipe(\n                withLatestFrom(this.worksheetContextService.getRootCard()),\n                auditMap(([variableNames, rootCard]) => {\n                    if (rootCard == null) {\n                        // Worksheet not yet available.\n                        return EMPTY;\n                    }\n\n                    return interactiveQueryRunner(variableNames, rootCard).pipe(\n                        map(suggestions => ({suggestions, variableNames}))\n                    );\n                }),\n\n                // Ignore result if the variable selection has changed since it was computed\n                withLatestFrom(this.selectedVariableNames$),\n                filter(([{variableNames}, variableNamesAfterCompute]) => _.isEqual(variableNames, variableNamesAfterCompute)),\n                map(([{suggestions}]) => suggestions)\n            );\n    }\n\n    private triggerSuggestCardsSpinner(show: boolean) {\n        if (this.isFirstRun) {\n            return;\n        }\n\n        this.showSuggestCardsSpinner$.next(show);\n    }\n\n    abort() {\n        this.suggestCardsAborter$.next();\n        this.triggerSuggestCardsSpinner(false);\n    }\n\n    ngOnInit() {\n        this.wt1Report = new WT1Report(this.wt1Service);\n\n        combineLatest([\n            this.worksheetContextService.getRootCard(),\n            this.getSuggestionsObservable(),\n            this.nameFilter$,\n        ])\n        .pipe(\n            untilDestroyed(this),\n        )\n        .subscribe(([worksheetRootCard, engineSuggestions, nameFilter]) => {\n            if (worksheetRootCard == null) {\n                // the worksheet has not loaded\n                return;\n            }\n\n            const filteredVariables = this.filterByName(engineSuggestions.suggestedVariables, nameFilter);\n            this.variables = _.orderBy(filteredVariables, ['individualScore'], ['desc']);\n            this.assistantSuggestions = this.mergeWithSelection(engineSuggestions.suggestedCards);\n            this.markAlreadyIncludedSuggestions(worksheetRootCard.cards);\n\n            const lastSuggestedCards = engineSuggestions.suggestedCards.map(it => it.card);\n            this.wt1Report.addSuggestedCards(lastSuggestedCards);\n\n            if (this.isFirstRun) {\n                this.isFirstRun = false;\n                const variablesCount = this.variables.length;\n                this.wt1Report.setVariablesCount(variablesCount);\n                this.hasEmptyDataset = variablesCount === 0;\n            }\n\n            this.changeDetectorRef.markForCheck();\n        });\n    }\n\n    private filterByName(\n        variables: SuggestCards.SuggestedVariable[],\n        nameFilter: string | null\n    ): SuggestCards.SuggestedVariable[] {\n        if (nameFilter == null) {\n            return variables;\n        }\n\n        const subName = nameFilter.toLocaleLowerCase();\n        return variables.filter(it => it.name.toLocaleLowerCase().includes(subName));\n    }\n\n    private mergeWithSelection(rawSuggestedCards: SuggestCards.SuggestedCard[]): AssistantSuggestion[] {\n        // The card ids are randomly assigned by the backend - even when they hold the\n        // same definition - so we need to clear the ids before comparing the cards.\n        const referenceCards = this.selectedAssistantSuggestions.map(it => clearCardIds(it.card));\n        const candidateCards = rawSuggestedCards.map(it => clearCardIds(it.card));\n        const newSuggestions: AssistantSuggestion[] = [];\n\n\n        candidateCards.forEach((candidate, i) => {\n            const duplicate = referenceCards.some(reference => deepEqual(candidate, reference));\n\n            if (duplicate) {\n                return;\n            }\n\n            const originalSuggestedCard = rawSuggestedCards[i];\n            const suggestedCard = {\n                ...originalSuggestedCard,\n                // Ensure the card and the miniature have different IDs\n                // (IDs are used as keys by the <height-equalizer> and we want to avoid interference between preview and miniature)\n                miniatureCard: resetCardIds(originalSuggestedCard.miniatureCard),\n                card: resetCardIds(originalSuggestedCard.card)\n            }\n\n            newSuggestions.push(new AssistantSuggestion(suggestedCard));\n        });\n\n        // Return selected suggestions in first, followed by all new suggestions.\n        return this.selectedAssistantSuggestions.concat(newSuggestions);\n    }\n\n    private markAlreadyIncludedSuggestions(worksheetTopLevelCards: Card[]) {\n        const worksheetCards = worksheetTopLevelCards.map(it => clearCardIds(it));\n        const assistantCards = this.assistantSuggestions.map(it => clearCardIds(it.card));\n\n        assistantCards.forEach((candidate, i) => {\n            this.assistantSuggestions[i].isAlreadyIncludedInWorksheet =\n                worksheetCards.some(reference => deepEqual(candidate, reference));\n        });\n    }\n\n    ngOnDestroy() {\n        // Send the usage report to WT1 when the session ends - aka when the\n        // component is destroyed.\n        const selectedCards = this.selectedAssistantSuggestions.map(it => it.card);\n        this.wt1Report.setSelectedCards(selectedCards);\n        this.wt1Report.send();\n    }\n\n    toggleVariable(variable: SuggestCards.SuggestedVariable) {\n        const alreadySelectedNames = this.selectedVariableNames$.getValue();\n\n        if (alreadySelectedNames.includes(variable.name)) {\n            this.unselectVariableName(variable.name);\n        } else {\n            this.selectVariableName(variable.name);\n        }\n    }\n\n    private selectVariableName(variableName: string) {\n        const alreadySelectedNames = this.selectedVariableNames$.getValue();\n        const selectedNames = [\n            ...alreadySelectedNames,\n            variableName,\n        ];\n\n        this.selectedVariableNames$.next(selectedNames);\n    }\n\n    unselectVariableName(variableName: string) {\n        const alreadySelectedNames = this.selectedVariableNames$.getValue();\n        const selectedNames = alreadySelectedNames.filter(name => name !== variableName);\n        this.selectedVariableNames$.next(selectedNames);\n    }\n\n    isVariableSelected(variable: SuggestCards.SuggestedVariable): boolean {\n        const alreadySelectedNames = this.selectedVariableNames$.getValue();\n        return alreadySelectedNames.includes(variable.name);\n    }\n\n    isContinuous(variable: SuggestCards.SuggestedVariable): boolean {\n        return variable.type === Variable.Type.CONTINUOUS;\n    }\n\n    isCategorical(variable: SuggestCards.SuggestedVariable): boolean {\n        return variable.type === Variable.Type.CATEGORICAL;\n    }\n\n    showVariableScore(variable: SuggestCards.SuggestedVariable): boolean {\n        return this.hasSelectedVariables && !this.isVariableSelected(variable);\n    }\n\n    getVariableScore(variable: SuggestCards.SuggestedVariable): number {\n        return Math.min(variable.totalScore, 0.95) * 100;\n    }\n\n    canSave() {\n        return this.selectedAssistantSuggestions.length > 0;\n    }\n\n    save() {\n        const cards = this.selectedAssistantSuggestions.map(it => it.card);\n        this.worksheetContextService.addTopLevelCards(cards);\n        this.wt1Report.addCreatedCards(cards);\n        this.dialogRef.close('');\n    }\n\n    dismiss() {\n        this.dialogRef.close('');\n    }\n\n    openCardPreview(suggestion: AssistantSuggestion) {\n        // Recompute the result on the whole sample because the suggested card\n        // are only computed on the first 1000 rows.\n        this.worksheetContextService.computeCardWithErrorContext(\n            suggestion.card,\n            this.cardPreviewErrorContext\n        )\n        .pipe(\n            filter(result => result != null),\n            untilDestroyed(this),\n        )\n        .subscribe((result) => {\n            this.showCardPreview(suggestion, result!);\n        });\n    }\n\n    showCardPreview(suggestion: AssistantSuggestion, result: CardResult) {\n        const { card, isSelected } = suggestion;\n        this.wt1Report.addPreviewedCard(card);\n\n        const data: CardPreviewModalComponentData = {\n            isSelected,\n            params: card,\n            results: result,\n        };\n\n        this.modalsService.open(CardPreviewModalComponent, data, ModalShape.WIDE, this.viewContainerRef)\n            .then((action: CardPreviewModalComponentAction) => {\n                if (action.toggleSelection) {\n                    suggestion.toggleSelection();\n                    this.changeDetectorRef.markForCheck();\n                }\n            })\n            .catch(() => { /* silently swallow the error as the user may simply dismiss the modal */ })\n    }\n\n    trackByName(index: number, v: SuggestCards.SuggestedVariable) {\n        return v.name;\n    }\n\n    formatExplanations(variable: SuggestCards.SuggestedVariable): string {\n        return variable.explanations.join(\"\\n\");\n    }\n\n    resetApiErrors() {\n        this.suggestCardsErrorContext.resetError();\n        this.cardPreviewErrorContext.resetError();\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { realAny } from 'dku-frontend-core';\n\n@Pipe({\n    name: 'entries'\n})\nexport class EntriesPipe implements PipeTransform {\n    transform(object?: object): {key: string, value: realAny}[] {\n        if (!object) {\n            return [];\n        }\n        if (Array.isArray(object)) {\n            throw new Error(\"Cannot compute the entries of an array\"); // We could but it's specific the following loop iterates over keys as string\n        }\n        let kv = [];\n        for (let key in object) {\n            if (object.hasOwnProperty(key)) {\n                let value = (<any>object)[key];\n                kv.push({key, value});\n            }\n        }\n        return kv;\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'niceConst'\n})\nexport class NiceConstPipe implements PipeTransform {\n\n    transform(input: string): string {\n        if (!input || !input.length) {\n            return '';\n        }\n        input = input.replace(/[\\s_]+|([a-z])(?=[A-Z])/g, '$1 ').trim();\n        let nice = input.charAt(0).toUpperCase() + input.substr(1).toLowerCase();\n        if (nice == 'Lambda service') {\n            nice = 'API service';\n        }\n        if (nice == 'Sql notebook') {\n            nice = 'SQL notebook';\n        }\n        return nice;\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { Dict } from 'dku-frontend-core';\n\n@Pipe({\n    name: 'infoMessageAlertClass'\n})\nexport class InfoMessageAlertClassPipe implements PipeTransform {\n\n    transform(infoMessage: InfoMessage) {\n        return dict[infoMessage.severity];\n    }\n\n}\n\nconst dict: Dict<string> = {\n    'ERROR': 'alert-danger',\n    'WARNING': 'alert-warning',\n    'INFO': 'alert-info'\n};\n\ninterface InfoMessage { //TODO move\n    severity: string;\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\n\ndeclare let d3: fairAny;\n\n@Pipe({\n    name: 'pluralize'\n})\nexport class PluralizePipe implements PipeTransform {\n\n    transform(num: number, singular?: string, plural?: string, d3Formatter?: (n: number|any) => string, no?: boolean): string {\n        if (no && num == 0) {\n            return no === true ? 'no ' + plural : no;\n        }\n        let quantity = no && num == 0 ? 'no' : (d3Formatter ? d3.format(d3Formatter)(num) : num);\n        let noun = num > 1 ? plural : singular;\n        return quantity + ' ' + noun;\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'replace'\n})\nexport class ReplacePipe implements PipeTransform { //TODO rename\n\n    // input | replace:search_str:replacement\n    // input | replace:search_regexp:flags:replacement\n    transform(input: any, first: string): any {\n        let nFirst = parseInt(first, 10);\n        let out: any[] = [];\n        if (nFirst >= input.length) {\n            return out;\n        }\n        for (let i = nFirst; i < input.length; i++) {\n            out.push(input[i]);\n        }\n        return out;\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { Dict } from 'dku-frontend-core';\n\n@Pipe({\n    name: 'escapeHtml'\n})\nexport class EscapeHtmlPipe implements PipeTransform {\n\n    private chars = /[<>&'\"`]/g;\n    private map: Dict<string> = {\n        '<': '&lt;',\n        '>': '&gt;',\n        '&': '&amp;',\n        '\"': '&quot;',\n        \"'\": '&apos;',\n        \"`\": '&#96;',\n    };\n\n    transform(s: string): string {\n        return s.replace(this.chars, x => this.map[x]);\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'percentage'\n})\nexport class PercentagePipe implements PipeTransform {\n    transform(numerator?: number, denominator?: number): string|undefined {\n        if (numerator == undefined || denominator == undefined) {\n            return undefined;\n        }\n        if (!denominator) {\n            if (numerator) {\n                return undefined;\n            } else {\n                return '0%';\n            }\n        }\n        return Math.round(numerator / denominator * 100) + '%';\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport d3 from 'd3';\n\n@Pipe({\n  name: 'smartNumber'\n})\nexport class SmartNumberPipe implements PipeTransform {\n\n  transform(d: number|undefined): string {\n    let expFormatter = d3.format(\".2e\");\n    let siFormatter = d3.format(\".2s\");\n    let digitFormatters : ((n: number)=>string)[] = [];\n    for (var i = 0; i < 6; i++) {\n        digitFormatters.push(d3.format(\".\" + i + \"f\"));\n    }\n    if (typeof d != \"number\") {\n        return \"NA\";\n    }\n    var abs = Math.abs(d);\n    if (abs >= 1e12) {\n        return expFormatter(d);\n    } else if (abs >= 100000) {\n        return siFormatter(d);\n    } else if (abs >= 100) {\n        return digitFormatters[0](d);\n    } else if (abs >= 1) {\n        if (abs % 1 === 0) return digitFormatters[0](d);\n        return digitFormatters[2](d);\n    } else if (abs === 0) {\n        return digitFormatters[0](d);\n    } else if (abs < 0.00001) {\n        return d.toPrecision(3);\n    } else {\n        var x = Math.min(5, 2 - (Math.log10(abs) | 0));\n        return digitFormatters[x](d);\n    }\n  }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'smartPercentage'\n})\nexport class SmartPercentagePipe implements PipeTransform {\n\n    transform(ratio: number, precision: number, spaces: number) {\n        precision = Math.max(+(precision || 0), 0);\n        let tens = Math.pow(10, precision);\n        let min = 1 / tens / 100; // e.g. precision = 2 =>  0.01\n        let max = 1 - min;        //                    => 99.99\n        let out = [];\n        if (ratio < 1 && ratio > max) {\n            ratio = max;\n            out.push('>');\n        } else if (ratio > 0 && ratio < min) {\n            ratio = min;\n            out.push('<');\n        }\n        out.push((Math.round(ratio * 100 * tens) / tens).toFixed(precision), '%');\n        return out.join(spaces ? '\\u00A0' : '');\n    }\n\n}\n","export let now = new Date().getTime();\nconst NOW_REFRESH_INTERVAL = 5 * 1000;\n\n// We don't want \"now\" to be recomupted constantly or it will cause frequent DOM refresh\nsetInterval(function() {\n    now = new Date().getTime();\n}, NOW_REFRESH_INTERVAL);\n\nexport function friendlyDuration(diffInSeconds: number) {\n    let sec = Math.floor((diffInSeconds >= 60 ? diffInSeconds % 60 : diffInSeconds));\n    let min = Math.floor((diffInSeconds = (diffInSeconds / 60)) >= 60 ? diffInSeconds % 60 : diffInSeconds);\n    let hrs = Math.floor((diffInSeconds = (diffInSeconds / 60)) >= 24 ? diffInSeconds % 24 : diffInSeconds);\n    let days = Math.floor( (diffInSeconds = (diffInSeconds / 24)) >= 30 ? diffInSeconds % 30 : diffInSeconds);\n    let months = Math.floor( (diffInSeconds = (diffInSeconds / 30)) >= 12 ? diffInSeconds % 12 : diffInSeconds);\n    let years = Math.floor( (diffInSeconds = (diffInSeconds / 12)));\n    let sb = \"\";\n    if (years > 0) {\n        if (years == 1) {\n            sb += (\"1 year\");\n        } else {\n            sb += (years + \" years\");\n        }\n        if (years <= 6 && months > 0) {\n            if (months == 1) {\n                sb += (\" and one month\");\n            } else {\n                sb += (\" and \" + months + \" months\");\n            }\n        }\n    } else if (months > 0) {\n        if (months == 1) {\n            sb += (\"one month\");\n        } else {\n            sb += (months + \" months\");\n        }\n        if (months <= 6 && days > 0) {\n            if (days == 1) {\n                sb += (\" and a day\");\n            } else {\n                sb += (\" and \" + days + \" days\");\n            }\n        }\n    } else if (days > 0) {\n        if (days == 1) {\n            sb += (\"one day\");\n        } else {\n            sb += (days + \" days\");\n        }\n        if (days <= 3 && hrs > 0) {\n            if (hrs == 1) {\n                sb += (\" and one hour\");\n            } else {\n                sb += (\" and \" + hrs + \" hours\");\n            }\n        }\n    } else if (hrs > 0) {\n        if (hrs == 1) {\n            sb += (\"one hour\");\n        } else {\n            sb += (hrs + \" hours\");\n        }\n        if (min > 1) {\n            sb += (\" and \" + min + \" minutes\");\n        }\n    } else if (min > 0) {\n        if (min == 1) {\n            sb += (\"one minute\");\n        } else {\n            sb += (min + \" minutes\");\n        }\n        if (sec > 1) {\n            sb += (\" and \" + sec + \" seconds\");\n        }\n    } else {\n        if (sec <= 1) {\n            sb += (\"about a second\");\n        } else {\n            sb += (\"about \" + sec + \" seconds\");\n        }\n    }\n    return sb;\n}\n\nexport function durationHHMMSS(diffInSeconds: number) {\n    let sec = Math.floor((diffInSeconds >= 60 ? diffInSeconds % 60 : diffInSeconds));\n    let min = Math.floor((diffInSeconds = (diffInSeconds / 60)) >= 60 ? diffInSeconds % 60 : diffInSeconds);\n    let hours = Math.floor( diffInSeconds / 60);\n    let sb = \"\";\n    if (hours > 0) {\n        sb += (hours + \"h \");\n    }\n    if (min > 0) {\n        sb += (min + \"m \");\n    }\n    sb += (sec + \"s\");\n    return sb;\n}\n\nexport function durationHHMMSSPadded(diffInSeconds: number) {\n    if (diffInSeconds == 0) {\n        diffInSeconds = 1;\n    }\n    let sec = Math.floor((diffInSeconds >= 60 ? diffInSeconds % 60 : diffInSeconds));\n    let min = Math.floor((diffInSeconds = (diffInSeconds / 60)) >= 60 ? diffInSeconds % 60 : diffInSeconds);\n    let hours = Math.floor( diffInSeconds / 60);\n\n    function pad(number: number) {\n        if (number < 10) {\n            return \"0\" + number;\n        } else {\n            return number;\n        }\n    }\n    return pad(hours) + \"h\" + pad(min) + \"m\" + pad(sec) + \"s\";\n}\n\n\nexport function friendlyDurationShort(seconds: number, ref?: string, noSeconds = false) {\n    let sec    = Math.floor(seconds >= 60 ? seconds % 60 : seconds),\n        min    = Math.floor((seconds = (seconds / 60)) >= 60 ? seconds % 60 : seconds),\n        hours  = Math.floor((seconds = (seconds / 60)) >= 24 ? seconds % 24 : seconds),\n        days   = Math.floor((seconds = (seconds / 24)) >= 30 ? seconds % 30 : seconds),\n        months = Math.floor((seconds = (seconds / 30)) >= 12 ? seconds % 12 : seconds),\n        years  = Math.floor((seconds = (seconds / 12))),\n        sb = \"\";\n\n    if (years > 0) {\n        sb = (years + \" year\" + (years > 1 ? \"s\" : \"\"));\n    } else if (months > 0) {\n        sb = (months + \" month\" + (months > 1 ? \"s\" : \"\"));\n    } else if (days > 0) {\n        sb = (days + \" day\" + (days > 1 ? \"s\" : \"\"));\n    } else if (hours > 0) {\n        sb = (hours + \" hour\" + (hours > 1 ? \"s\" : \"\"));\n    } else if (min > 0) {\n        sb = (min + \" minute\" + (min > 1 ? \"s\" : \"\"));\n    } else if (!noSeconds && sec > 0) {\n        sb = (sec + \" second\" + (sec > 1 ? \"s\" : \"\"));\n    }\n\n    switch (ref) {\n        case 'ago':   return sb ? sb + \" ago\"   : \"just now\";\n        case 'in':    return sb ? \"in \" + sb    : \"immediately\";\n        default:      return sb ? sb            : \"< 1 \" + (noSeconds ? \"minute\" : \"second\");\n    }\n}\n\nexport function dateDayDiff(date1: number, date2: number) {\n    let d1 = new Date(date1);\n    let d2 = new Date(date2);\n    d1.setHours(0);\n    d1.setMinutes(0);\n    d1.setSeconds(0);\n    d1.setMilliseconds(0);\n    d2.setHours(0);\n    d2.setMinutes(0);\n    d2.setSeconds(0);\n    d2.setMilliseconds(0);\n    let dayLength = 24 * 60 * 60 * 1000;\n    return Math.floor(d1.getTime() / dayLength) - Math.floor(d2.getTime() / dayLength);\n}\n\nexport function gentleTruncate(str: string, len: number) {\n    /**\n     * Truncate a string to make sure it takes at most\n     * n characters.\n     * Whenever possible truncates on special chars.\n     *\n     * If str is not a string, returns str unchanged.\n     */\n    if ((typeof str != \"string\") || (str.length <= len)) {\n        return str;\n    }\n\n    let cutOn = /[ ,\\.,;\\-\\\\\\\"\\n\\?\\!\\|]/g;\n    let truncated = str.substring(0, len - 1);\n    let lastSeparatorIdx = regexLastIndexOf(cutOn, truncated);\n\n    // we don't want to cut more too much.\n    if (lastSeparatorIdx > len / 2) {\n        truncated = str.substring(0, lastSeparatorIdx);\n    }\n    return truncated + '…';\n}\n\nfunction regexLastIndexOf(ptn: RegExp, str: string) {\n    /* Same as lastIndexOf, but for regexp.\n     * Returns -1 if not found.\n     */\n    let res = -1;\n    let m = null;\n    do {\n        m = ptn.exec(str);\n        if (m) {\n            res = m.index;\n        }\n    } while (m);\n    return res;\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { now, friendlyDurationShort } from '@shared/pipes/date-pipes/date-pipes-common';\n\n@Pipe({\n    name: 'friendlyTimeDeltaShort'\n})\nexport class FriendlyTimeDeltaShortPipe implements PipeTransform {\n\n    transform(input: string|number, reference?: number): string {\n        reference = reference || now;\n        if (typeof input == 'string') {\n            input = parseInt(input, 10);\n        }\n        let diffInSeconds = (reference - input) / 1000;\n        return friendlyDurationShort(diffInSeconds, 'ago', true);\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { DatePipe } from '@angular/common';\n\n@Pipe({\n    name: 'friendlyDateTime'\n})\nexport class FriendlyDateTimePipe implements PipeTransform {\n\n    transform(time: number): string {\n        function sameDay(date1: Date, date2: Date) {\n            return date1.getFullYear() === date2.getFullYear() &&\n                   date1.getMonth() === date2.getMonth() &&\n                   date1.getDate() === date2.getDate();\n        }\n\n        let today = new Date(),\n            yesterday = new Date(),\n            tomorrow = new Date();\n        yesterday.setDate(yesterday.getDate() - 1);\n        tomorrow.setDate(tomorrow.getDate() + 1);\n\n        let datePipe = new DatePipe(\"en-US\");\n        let date = new Date(time);\n        let datePart;\n        if (sameDay(date, today)) {\n            datePart = 'Today';\n        } else if (sameDay(date, yesterday)) {\n            datePart = 'Yesterday';\n        } else if (sameDay(date, tomorrow)) {\n            datePart = 'Tomorrow';\n        } else {\n            datePart = datePipe.transform(date, 'EEEE, d MMMM');\n        }\n\n        return datePart + ' at ' + datePipe.transform(date, 'HH:mm');\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { friendlyDuration } from '@shared/pipes/date-pipes/date-pipes-common';\n\n@Pipe({\n    name: 'friendlyDuration'\n})\nexport class FriendlyDurationPipe implements PipeTransform {\n\n    transform(input: string|number): string {\n        if (typeof input == 'string') {\n            input = parseInt(input, 10);\n        }\n        return friendlyDuration(input / 1000);\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { durationHHMMSS } from '@shared/pipes/date-pipes/date-pipes-common';\n\n@Pipe({\n    name: 'durationHHMMSS'\n})\nexport class DurationHHMMSSPipe implements PipeTransform {\n\n    transform(input: string|number) {\n        if (typeof input == 'string') {\n            input = parseInt(input, 10);\n        }\n        return durationHHMMSS(input / 1000);\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'sliceList'\n})\nexport class SliceListPipe implements PipeTransform {\n\n    transform<T>(list: T[], from: number, to: number): T[] {\n        if (!list || list.length <= from) {\n            return [];\n        }\n        return list.slice(from, to);\n    }\n\n}\n","import { Pipe, PipeTransform, Inject } from '@angular/core';\nimport { fairAny } from 'dku-frontend-core';\n\n@Pipe({\n    name: 'orderBy'\n})\nexport class OrderByPipe implements PipeTransform {\n\n    constructor(\n      @Inject('UpgradedFilters') private upgradedFilters: fairAny\n    ) {}\n\n    transform<T>(input: T[], orders: string|string[]): T[] {\n        return this.upgradedFilters.orderBy(input, orders);\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'filesize'\n})\nexport class FilesizePipe implements PipeTransform {\n\n    transform(size: number) {\n        if (size >= 1024 * 1024 * 1024) {\n            return Math.round(size / 1024 / 1024 / 1024 * 100) / 100 + ' GB';\n        } else if (size >= 1024 * 1024) {\n            return Math.round(size / 1024 / 1024 * 100) / 100 + ' MB';\n        } else {\n            return Math.round(size / 1024 * 100) / 100 + ' KB';\n        }\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'nicePrecision'\n})\nexport class NicePrecisionPipe implements PipeTransform {\n\n    transform(val: any, p: any): any {\n        if (val == undefined) {\n            return undefined;\n        }\n        if (val < Math.pow(10, p)) {\n            if (Math.round(val) == val) {\n                /* Don't add stuff to integers */\n                return val.toFixed(0);\n            } else {\n                return val.toPrecision(p);\n            }\n        } else {\n            return val.toFixed(0);\n        }\n\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { friendlyDurationShort } from '@shared/pipes/date-pipes/date-pipes-common';\nimport { fairAny } from 'dku-frontend-core';\n\n@Pipe({\n    name: 'friendlyDurationShort'\n})\nexport class FriendlyDurationShortPipe implements PipeTransform {\n\n    transform(input: string, ref?: fairAny, noSeconds?: boolean): string {\n        return friendlyDurationShort(parseInt(input, 10) / 1000, ref, noSeconds);\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'mlTaskTypeToIcon'\n})\nexport class MlTaskTypeToIconPipe implements PipeTransform {\n\n    transform(taskType: string, predictionType?: string): any {\n        if (!taskType || !predictionType) {\n            return;\n        }\n        if (taskType.toLowerCase() == 'clustering') {\n            return 'icon-clustering';\n        }\n        return 'icon-prediction-' + predictionType.toLowerCase();\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n@Pipe({\n    name: 'backendTypeToIcon'\n})\nexport class BackendTypeToIconPipe implements PipeTransform {\n\n    transform(backendType: string, _args?: string): any {\n        if (!backendType) {\n            return;\n        }\n\n        return 'icon-ml icon-ml-' + backendType.toLowerCase();\n    }\n\n}\n","import { Pipe, PipeTransform } from '@angular/core';\n\n/**\n * `[n] | range`        => 0 .. (n-1)\n * `[from, to] | range` => from .. to (inclusive)\n */\n@Pipe({\n    name: 'range'\n})\nexport class RangePipe implements PipeTransform {\n    getArray(min: number, max: number) {\n        let arr = [];\n        if (max < min) {\n            [max, min] = [min, max]; //swapping variables\n        }\n        for (let i = min; i < max; i++) {\n            arr.push(i);\n        }\n        return arr;\n    }\n\n    transform(value: Array<number>): Array<number> {\n        if (value.length >= 2) {\n            let min = value[0];\n            let max = value[value.length - 1] + 1; // +1 so that it's inclusive\n            return this.getArray(min, max);\n        } else if (value.length == 1) {\n            return this.getArray(0, value[0]);\n        }\n        return [];\n    }\n}\n","import { StripHtmlPipe } from './text-pipes/strip-html.pipe';\nimport { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\n\nimport { EntriesPipe } from './entries.pipe';\nimport { NiceConstPipe } from './nice-const.pipe';\nimport { InfoMessageAlertClassPipe } from './info-message-alert-class.pipe';\n\nimport { CapitalizePipe } from './capitalize.pipe';\nimport { PluralizePipe } from './pluralize.pipe';\nimport { ReplacePipe } from './replace.pipe';\nimport { EscapeHtmlPipe } from './escaping/escape-html.pipe';\n\nimport { PercentagePipe } from './number-pipes/percentage.pipe';\nimport { SmartNumberPipe } from './number-pipes/smart-number.pipe';\nimport { SmartPercentagePipe } from './smart-percentage.pipe';\n\nimport { FriendlyTimeDeltaShortPipe } from './date-pipes/friendly-time-delta-short.pipe';\nimport { FriendlyDateTimePipe } from './date-pipes/friendly-date-time.pipe';\nimport { FriendlyDurationPipe } from './date-pipes/friendly-duration.pipe';\nimport { DurationHHMMSSPipe } from './date-pipes/duration-hhmmss.pipe';\n\nimport { SliceListPipe } from './list-pipes/slice-list.pipe';\nimport { OrderByPipe } from '@shared/pipes/list-pipes/order-by.pipe';\nimport { FormatModalityPipe } from '@shared/pipes/list-pipes/format-modality.pipe';\n\nimport { FilesizePipe } from './filesize.pipe';\nimport { NicePrecisionPipe } from '@shared/pipes/number-pipes/nice-precision.pipe';\nimport { FriendlyDurationShortPipe } from '@shared/pipes/date-pipes/friendly-duration-short.pipe';\nimport { MlTaskTypeToIconPipe } from '@shared/pipes/visualization/ml-task-type-to-icon.pipe';\nimport { BackendTypeToIconPipe } from '@shared/pipes/visualization/backend-type-to-icon.pipe';\nimport { PlurifyPipe } from '@shared/pipes/text-pipes/plurify.pipe';\nimport { RangePipe } from '@shared/pipes/list-pipes/range.pipe';\nimport { PluckPipe } from '@shared/pipes/list-pipes/pluck.pipe';\nimport { FilterPipe } from '@shared/pipes/filter.pipe';\nimport { DkuEvaluatePermissionsPipe } from './dku-evaluate-permissions.pipe';\nimport { DelayWhenFalsePipe } from './delay-when-false.pipe';\nimport { SmarterNumberPipe } from './number-pipes/smarter-number.pipe';\nimport { MapPipe } from './list-pipes/map.pipe';\n\nconst allPipes = [\n    EntriesPipe,\n    NiceConstPipe,\n    InfoMessageAlertClassPipe,\n\n    CapitalizePipe,\n    PluralizePipe,\n    ReplacePipe,\n    EscapeHtmlPipe,\n\n    PercentagePipe,\n    SmartPercentagePipe,\n    SmartNumberPipe,\n    SmarterNumberPipe,\n\n    FriendlyTimeDeltaShortPipe,\n    FriendlyDateTimePipe,\n    FriendlyDurationPipe,\n    DurationHHMMSSPipe,\n    FriendlyDurationShortPipe,\n\n    SliceListPipe,\n    OrderByPipe,\n    FormatModalityPipe,\n    RangePipe,\n    PluckPipe,\n    NicePrecisionPipe,\n    FilesizePipe,\n    PlurifyPipe,\n    FilterPipe,\n    StripHtmlPipe,\n    MapPipe,\n\n    MlTaskTypeToIconPipe,\n    BackendTypeToIconPipe,\n\n    DkuEvaluatePermissionsPipe,\n    DelayWhenFalsePipe\n];\n\n@NgModule({\n    imports: [\n        CommonModule\n    ],\n    declarations: allPipes,\n    exports: allPipes\n})\nexport class PipesModule {\n}\n","import { NgModule, ModuleWithProviders } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { StandaloneWT1Service, LegacyWT1Service, WT1Service } from './wt1.service';\nimport { Wt1ClickDirective } from './wt1-click.directive';\n\n@NgModule({\n    declarations: [Wt1ClickDirective],\n    imports: [\n        CommonModule\n    ],\n    exports: [Wt1ClickDirective]\n})\nexport class DataikuWT1Module {\n    static standalone(): ModuleWithProviders<DataikuWT1Module> {\n        return {\n            ngModule: DataikuWT1Module,\n            providers: [{ provide: WT1Service, useClass: StandaloneWT1Service }]\n        };\n    }\n    static legacy(): ModuleWithProviders<DataikuWT1Module> {\n        return {\n            ngModule: DataikuWT1Module,\n            providers: [{ provide: WT1Service, useClass: LegacyWT1Service }]\n        };\n    }\n}\n","import { Injectable, NgZone, OnDestroy } from '@angular/core';\nimport { Observable, Subscriber, interval, from } from 'rxjs';\nimport { publish, refCount, switchMapTo, filter, distinctUntilChanged } from 'rxjs/operators';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\n\n\n/**\n * Reading/writing the size of a lot of elements can trigger a lot of forced browser reflows\n *\n * In order to alleviate this, we carefully control the order of operations with a master clock\n * - TICK: read height of all elements\n * - TOCK: write new height of all elements if it has changed\n */\nconst TICK = 1;\nconst TOCK = 2;\nconst MASTER_CLOCK_INTERVAL = 300;\n\n@UntilDestroy()\n@Injectable({\n    providedIn: 'root'\n})\nexport class HeightService implements OnDestroy {\n    items: Map<string, Map<Subscriber<number | undefined>, number | undefined>> = new Map();\n    readClock$: Observable<number>;\n\n    constructor(private ngZone: NgZone) {\n        this.ngZone.runOutsideAngular(() => {\n            const masterClock$ = interval(MASTER_CLOCK_INTERVAL)\n                .pipe(switchMapTo(from([TICK, TOCK])), publish(), refCount());\n\n            this.readClock$ = masterClock$.pipe(filter(type => type === TICK), publish(), refCount());\n            masterClock$.pipe(filter(type => type === TOCK)).pipe(untilDestroyed(this)).subscribe(() => {\n                this.items.forEach(map => {\n                    // Compute max height\n                    let maxHeight: number | undefined;\n                    map.forEach(height => {\n                        if (maxHeight !== undefined && height !== undefined) {\n                            maxHeight = Math.max(maxHeight, height);\n                        } else {\n                            maxHeight = height;\n                        }\n                    });\n                    // Broadcast max height\n                    if (maxHeight !== undefined) {\n                        map.forEach((_, observer) => observer.next(maxHeight));\n                    }\n                });\n            });\n        });\n    }\n\n    registerHeight(key: string, heightReader: () => number | undefined): Observable<number> {\n        return this.ngZone.runOutsideAngular(() => {\n            return new Observable<number>(observer => {\n                const subscription = this.readClock$.subscribe(() => {\n                    if (!this.items.has(key)) {\n                        this.items.set(key, new Map());\n                    }\n                    this.items.get(key)!.set(observer, heightReader());\n                });\n\n                return () => {\n                    subscription.unsubscribe();\n\n                    if (this.items.has(key)) {\n                        this.items.get(key)!.delete(observer);\n                        if (!this.items.get(key)!.size) {\n                            this.items.delete(key);\n                        }\n                    }\n                };\n            }).pipe(distinctUntilChanged());\n        });\n    }\n\n    ngOnDestroy() { }\n}\n","import { ElementRef, OnInit, Input, OnDestroy, Component, ViewChild, ChangeDetectionStrategy, NgZone, OnChanges } from '@angular/core';\nimport { HeightService } from './height-equalizer.service';\nimport { ReplaySubject, Subscription } from 'rxjs';\nimport { switchMap } from 'rxjs/operators';\n\n\n@Component({\n    selector: 'height-equalizer',\n    templateUrl: './height-equalizer.component.html',\n    styleUrls: ['./height-equalizer.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class HeightEqualizerComponent implements OnInit, OnDestroy {\n    @ViewChild('child', { static: true }) child: ElementRef;\n\n    key$ = new ReplaySubject<string>(1);\n    subscription: Subscription;\n\n    constructor(\n        private heightService: HeightService,\n        private elementRef: ElementRef,\n        private ngZone: NgZone\n    ) { }\n\n    getChildHeight(): number | undefined {\n        if (this.child && this.child.nativeElement) {\n            return this.child.nativeElement.offsetHeight;\n        }\n        return undefined;\n    }\n\n    setParentHeight(height: number) {\n        if (this.elementRef && this.elementRef.nativeElement) {\n            // Directly update the DOM element without Angular\n            this.elementRef.nativeElement.style.height = height + 'px';\n        }\n    }\n\n    @Input() set key(newKey: string) {\n        this.key$.next(newKey);\n    }\n\n    ngOnInit() {\n        this.ngZone.runOutsideAngular(() => {\n            this.subscription = this.key$.pipe(\n                switchMap(key => this.heightService.registerHeight(key, () => this.getChildHeight())),\n            ).subscribe(height => this.setParentHeight(height));\n        });\n    }\n\n    ngOnDestroy() {\n        this.subscription.unsubscribe();\n    }\n}\n","<div #child>\n    <ng-content></ng-content>\n</div>\n","<!-- Note about qa-selectors:\n\n    Most card bodies don't need to add 'eda-card-body' because they \n    are almost always embedded within a <card-body> component. This component \n    is an exception because it is always used directly \n    (outside of any <card-body> wrapper) -->\n\n<div\n    class=\"card-column\"\n    [qa]=\"{'eda-card-body': {'id': params.id, 'type': params.type}}\"\n    *ngIf=\"collapseStates$ | async as collapseStates\"\n>\n    <div\n        *ngFor=\"let card of params.cards; let index = index; trackBy: trackByCardId\"\n        class=\"stat-card\"\n        [qa]=\"{'eda-stat-card': {id: params.id, type: params.type}}\"\n    >\n        <div class=\"stat-card__title\">\n            <span\n                (click)=\"toggleStatCard(card, !collapseStates[index])\"\n                class=\"stat-card__collapse\"\n            >\n                <i\n                    *ngIf=\"showCollapsingControls\"\n                    class=\"icon-chevron-right chevron\"\n                    [class.chevron--collapsed]=\"collapseStates[index]\"\n                ></i>\n                &nbsp;\n                {{ card | cardTitle: 'basic' }}\n            </span>\n            <card-menu\n                [params]=\"card\"\n                [columnParams]=\"params\"\n                [readOnly]=\"readOnly\"\n                [extendedActions]=\"extendedActions\"\n                (action)=\"handleStatCardAction(index, $event)\"\n                [deletable]=\"false\"\n                class=\"pull-right eda__header-menu\"\n            ></card-menu>\n        </div>\n        <div [@fadeInOut]=\"collapseStates[index] ? 'closed' : 'opened'\">\n            <div *ngIf=\"!collapseStates[index] | delayWhenFalse\">\n                <height-equalizer [key]=\"getCardKey(card)\">\n                    <card-body\n                        class=\"stat-card__body\"\n                        [params]=\"card\"\n                        [results]=\"results.results[index]\"\n                        [readOnly]=\"readOnly\"\n                        [extendedActions]=\"extendedActions\"\n                        [hasFixedHeight]=\"true\"\n                        (action)=\"handleStatCardAction(index, $event)\"\n                    ></card-body>\n                </height-equalizer>\n            </div>\n        </div>\n    </div>\n</div>\n","import { Component, Input, Output, EventEmitter, ChangeDetectionStrategy, SimpleChanges, OnChanges } from '@angular/core';\nimport { ColumnCard, Card, AbstractHeaderCard } from 'src/generated-sources';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { combineLatest, Observable, ReplaySubject } from 'rxjs';\nimport { switchMap, map } from 'rxjs/operators';\nimport { fadeInOutHeight } from '@shared/animations/fade-in-out';\nimport { CollapsingService, CollapsibleStatCard, UpdatableCollapsingService } from '@features/eda/collapsing.service';\n\n@Component({\n    selector: 'column-card-body',\n    templateUrl: './column-card-body.component.html',\n    styleUrls: ['./column-card-body.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    animations: [fadeInOutHeight]\n})\nexport class ColumnCardBodyComponent implements OnChanges {\n    @Input() params: ColumnCard;\n    @Input() results: ColumnCard.ColumnCardResult;\n    @Output() action = new EventEmitter<CardAction>();\n\n    @Input() headerParams: AbstractHeaderCard;\n    @Output() headerAction = new EventEmitter<CardAction>();\n\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n\n    showCollapsingControls: boolean;\n\n    private params$ = new ReplaySubject<ColumnCard>(1);\n    private headerParams$ = new ReplaySubject<AbstractHeaderCard>(1);\n    collapseStates$: Observable<boolean[]>;\n\n    constructor(public collapsingService: CollapsingService) {\n        this.collapseStates$ = combineLatest([this.params$, this.headerParams$]).pipe(\n            map(([params, headerParams]) => {\n                return params.cards\n                    .map(card => new CollapsibleStatCard(headerParams, params.column, card.type))\n                    .map(collapsible => this.collapsingService.watchIsCollapsed(collapsible))\n            }),\n            switchMap((watchers) => combineLatest(watchers))\n        );\n        this.showCollapsingControls = this.collapsingService instanceof UpdatableCollapsingService;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.params$.next(this.params);\n        }\n        if (changes.headerParams) {\n            this.headerParams$.next(this.headerParams);\n        }\n    }\n\n    handleStatCardAction(index: number, action: CardAction) {\n        if (action.type === CardActionType.UPDATE) {\n\n            if (action.updateSiblings) {\n                const newColumnCards = this.headerParams.cards.map((columnCard) => {\n                    if (columnCard.type !== 'column_card') {\n                        // Never happen (typechecking purpose)\n                        return columnCard;\n                    }\n                    if (columnCard.column.type !== this.params.column.type) {\n                        // Only update siblings having the same type (categorical, numerical)\n                        return columnCard;\n                    }\n                    const existingStatCard = this.params.cards[index];\n                    return {\n                        ...columnCard,\n                        cards: columnCard.cards.map(statCard => {\n                            if (statCard.type !== existingStatCard.type) {\n                                // Only update stat cards having the same type (histogram, quantiles, etc)\n                                return statCard;\n                            }\n                            // Override existing card with new stat card:\n                            // - Referenced columns will be incorrect: they are fixed by the backend\n                            // - The ID shouldn't be modified: we preserve it\n                            return {\n                                ...action.newParams,\n                                id: statCard.id\n                            };\n                        })\n                    };\n                });\n\n                const newHeaderParams = {\n                    ...this.headerParams,\n                    cards: newColumnCards\n                };\n\n                this.headerAction.emit({ type: CardActionType.UPDATE, newParams: newHeaderParams });\n            } else {\n                const newParams: ColumnCard = {\n                    ...this.params,\n                    cards: [...this.params.cards!]\n                };\n\n                newParams.cards![index] = action.newParams;\n\n                this.action.emit({ type: CardActionType.UPDATE, newParams });\n            }\n        }\n        else if ([CardActionType.ADD, CardActionType.DEBUG, CardActionType.PUBLISH, CardActionType.HIGHLIGHT]\n            .includes(action.type)) {\n            this.action.emit(action);\n        }\n    }\n\n    toggleStatCard(statCard: Card, newIsCollapsed: boolean) {\n        const collapsible = new CollapsibleStatCard(this.headerParams, this.params.column, statCard.type);\n        this.collapsingService.setIsCollapsed(collapsible, newIsCollapsed);\n    }\n\n    getCardKey(statCard: Card) {\n        const collapsible = new CollapsibleStatCard(this.headerParams, this.params.column, statCard.type);\n        return collapsible.persistenceKey();\n    }\n\n    trackByCardId(index: number, card: Card) {\n        return card.id;\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n}\n","<h4 class=\"column-title\" [title]=\"(response ? response.name + ' by ' : '') + column.name + (splitBy ? ' split by ' + splitBy.groupingColumn.name : '')\" [class.column-title--bivariate]=\"response\" [class.column-title--split]=\"splitBy\" [class.column-title--collapsed]=\"collapsed\">\n    <i\n        *ngIf=\"showCollapsingControls\"\n        class=\"icon-chevron-right chevron\"\n        [class.chevron--collapsed]=\"collapsed\"\n    ></i>\n    <ng-container *ngIf=\"response\">\n        <span\n            [class.categorical-type-icon]=\"response.type === Variable.Type.CATEGORICAL\"\n            [class.numeric-type-icon]=\"response.type === Variable.Type.CONTINUOUS\"\n        >\n            {{ response.name }}\n        </span>\n        <span class=\"text-weak\">by</span>\n    </ng-container>\n    <span\n        [class.categorical-type-icon]=\"column.type === Variable.Type.CATEGORICAL\"\n        [class.numeric-type-icon]=\"column.type === Variable.Type.CONTINUOUS\"\n    >\n        {{ column.name }}\n    </span>\n    <span *ngIf=\"splitBy\">\n        <span class=\"text-weak\">split by&nbsp;</span>\n        <span *ngIf=\"splitBy\">{{ splitBy.groupingColumn.name }}</span>\n    </span>\n</h4>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { Variable, SplitBySpec } from 'src/generated-sources';\n\n@Component({\n    selector: 'column-title',\n    templateUrl: './column-title.component.html',\n    styleUrls: ['./column-title.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ColumnTitleComponent {\n    @Input() column: Variable;\n    @Input() response?: Variable;\n    @Input() collapsed: boolean;\n    @Input() splitBy?: SplitBySpec;\n    @Input() showCollapsingControls: boolean;\n    Variable = Variable;\n}\n","<div\n    class=\"vertical-flex\"\n    *ngIf=\"columnCollapseStates$ | async as columnCollapseStates\"\n>\n    <div class=\"horizontal-flex card-container column-card-drag-drop-boundary\" cdkDropList [cdkDropListDisabled]=\"readOnly\" cdkDropListOrientation=\"horizontal\"\n        (cdkDropListDropped)=\"dropColumn($event)\">\n        <ng-container *ngFor=\"let columnCard of params.cards; let columnIndex = index; trackBy: trackByColumnName\">\n            <div\n                cdkDrag\n                class=\"card--column-card\"\n                [class.card--collapsed]=\"columnCollapseStates[columnIndex]\"\n                [class.card--column-wide]=\"params.type === 'bivariate_header'\"\n                [qa]=\"{\n                    'eda-column-card': {\n                        'id': columnCard.id,\n                        'column-name': columnCard.column.name\n                    }\n                }\"\n            >\n                <ng-container *ngIf=\"!columnCollapseStates[columnIndex]; else dragcollapsed\">\n                    <div class=\"card--column-card drag-drop-placeholder\" *cdkDragPlaceholder></div>\n                </ng-container>\n                <ng-template #dragcollapsed>\n                    <div class=\"card--column-card drag-drop-placeholder drag-drop-placeholder--collapsed\" *cdkDragPlaceholder></div>\n                </ng-template>\n                <div\n                    cdkDragHandle\n                    class=\"column-card__title\"\n                    [class.column-card__title--collapsed]=\"columnCollapseStates[columnIndex]\"\n                >\n                    <column-title\n                        (click)=\"toggleColumn(columnCard.column, !columnCollapseStates[columnIndex])\"\n                        class=\"column-card__title-content\"\n                        [class.column-card__title-content--collapsed]=\"columnCollapseStates[columnIndex]\"\n                        [column]=\"columnCard.column\"\n                        [response]=\"isBivariateHeaderCard(params) ? params['yColumn'] : ''\"\n                        [collapsed]=\"columnCollapseStates[columnIndex]\"\n                        [splitBy]=\"params.splitBy\"\n                        [showCollapsingControls]=\"showCollapsingControls\"\n                    ></column-title>\n\n                    <card-menu\n                        *ngIf=\"!columnCollapseStates[columnIndex]\"\n                        class=\"pull-right eda__header-menu\"\n                        [params]=\"columnCard\"\n                        [readOnly]=\"readOnly\"\n                        [deletable]=\"true\"\n                        [extendedActions]=\"extendedActions\"\n                        (action)=\"handleColumnCardAction(columnIndex, $event)\"\n                    >\n                    </card-menu>\n                </div>\n                <lazy-render\n                    class=\"column-card__body\"\n                    *ngIf=\"!columnCollapseStates[columnIndex] | delayWhenFalse\"\n                    [class.column-card__body--wide]=\"params.type === 'bivariate_header'\"\n                    [class.column-card__body--collapsed]=\"columnCollapseStates[columnIndex]\"\n                    [visibleTemplate]=\"visible\"\n                    [trackData]=\"columnCard\"\n                    [passThrough]=\"params.cards.length < 20\">\n                    <ng-template #visible>\n                        <column-card-body\n                            [params]=\"params.cards[columnIndex]\"\n                            [results]=\"results.results[columnIndex]\"\n                            [headerParams]=\"params\"\n                            (headerAction)=\"action.emit($event)\"\n                            [readOnly]=\"readOnly\"\n                            [extendedActions]=\"extendedActions\"\n                            (action)=\"handleColumnCardAction(columnIndex, $event)\"\n                        ></column-card-body>\n                    </ng-template>\n                </lazy-render>\n            </div>\n        </ng-container>\n\n        <div *ngIf=\"!readOnly\"\n            class=\"card--column-card-placeholder card--column-card\"\n        >\n            <div\n                class=\"column-card--placeholder column-card__body\"\n                (click)=\"configureAnalysis()\"\n            >\n                + Add another variable\n            </div>\n        </div>\n    </div>\n</div>\n","import { Component, Input, EventEmitter, Output, ChangeDetectionStrategy, SimpleChanges, OnChanges, ViewContainerRef } from '@angular/core';\nimport { AbstractHeaderCard, Variable, ColumnCard, isBivariateHeaderCard } from 'src/generated-sources';\nimport { CardActionType, CardAction, UpdateCardAction, DebugCardAction, AddCardAction, PublishCardAction } from '@features/eda/worksheet/cards/events';\nimport { switchMap, map } from 'rxjs/operators';\nimport { Observable, ReplaySubject, combineLatest } from 'rxjs';\nimport { CollapsibleColumnCard, CollapsingService, UpdatableCollapsingService } from '@features/eda/collapsing.service';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { EditCardModalComponent } from '../../../card-wizard/edit-card-modal/edit-card-modal.component';\nimport { CdkDragDrop } from '@angular/cdk/drag-drop';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\n\n@Component({\n    selector: 'header-card-body',\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    templateUrl: './header-card-body.component.html',\n    styleUrls: ['./header-card-body.component.less'],\n    animations: []\n})\nexport class HeaderCardBodyComponent implements OnChanges {\n    @Input() params: AbstractHeaderCard;\n    @Input() results: AbstractHeaderCard.AbstractHeaderCardResult;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n    projectKey: string;\n    datasetName: string;\n\n    Variable = Variable;\n    isBivariateHeaderCard = isBivariateHeaderCard;\n\n    showCollapsingControls: boolean;\n\n    private params$ = new ReplaySubject<AbstractHeaderCard>(1);\n    private results$ = new ReplaySubject<AbstractHeaderCard.AbstractHeaderCardResult>(1);\n    columnCollapseStates$: Observable<boolean[]>;\n\n    constructor(\n        private collapsingService: CollapsingService,\n        private modalsService: ModalsService,\n        private viewContainerRef: ViewContainerRef,\n        private wt1Service: WT1Service\n    ) {\n        this.columnCollapseStates$ = this.params$.pipe(\n            map(params => params.xColumns\n                .map(column => new CollapsibleColumnCard(params.id, column))\n                .map(collapsible => this.collapsingService.watchIsCollapsed(collapsible))),\n            switchMap(observables => combineLatest(observables))\n        );\n        this.showCollapsingControls = this.collapsingService instanceof UpdatableCollapsingService;\n    }\n\n    toggleColumn(column: Variable, newIsCollapsed: boolean) {\n        this.collapsingService.setIsCollapsed(\n            new CollapsibleColumnCard(this.params.id, column),\n            newIsCollapsed\n        );\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.params$.next(this.params);\n        }\n        if (changes.results) {\n            this.results$.next(this.results);\n        }\n    }\n\n    handleColumnCardUpdate(index: number, action: UpdateCardAction) {\n        if (action.newParams.type === 'column_card') {\n            const newParams = {\n                ...this.params,\n                cards: [...this.params.cards],\n                xColumns: [...this.params.xColumns]\n            };\n            newParams.cards[index] = action.newParams;\n            newParams.xColumns[index] = action.newParams.column;\n            this.action.emit({ type: CardActionType.UPDATE, newParams });\n        }\n    }\n\n    handleColumnCardDelete(columnIndex: number) {\n        this.action.emit({\n            type: CardActionType.UPDATE,\n            newParams: {\n                ...this.params,\n                // cards are fixed up by the backend\n                xColumns: this.params.xColumns.filter((_, xColumnIndex) => xColumnIndex !== columnIndex)\n            }\n        });\n    }\n\n    handleColumnCardExport(columnIndex: number, action: AddCardAction | DebugCardAction | PublishCardAction) {\n        let exportedCard;\n        if (action.card.type === 'column_card') {\n            // Export the column card itself by converting it into a regular header card\n            exportedCard = {\n                ...this.params,\n                xColumns: [action.card.column],\n                cards: [{ ...action.card }]\n            };\n        } else {\n            // Export a card *within* a column card\n            exportedCard = {\n                ...action.card,\n                splitBy: this.params.splitBy,\n                filter: this.params.filter\n            };\n        }\n\n        this.action.emit({ type: action.type, card: exportedCard });\n    }\n\n    configureAnalysis() {\n        this.modalsService.open(EditCardModalComponent,\n            {\n                params: this.params\n            },\n            ModalShape.NONE,\n            this.viewContainerRef\n        ).then(({ card }) => {\n            this.action.emit({ type: CardActionType.UPDATE, newParams: card });\n        }, () => { });\n    }\n\n    handleColumnCardAction(columnIndex: number, action: CardAction) {\n        switch (action.type) {\n            case CardActionType.UPDATE:\n                this.handleColumnCardUpdate(columnIndex, action);\n                break;\n            case CardActionType.DELETE:\n                this.handleColumnCardDelete(columnIndex);\n                break;\n            case CardActionType.ADD:\n            case CardActionType.DEBUG:\n            case CardActionType.PUBLISH:\n                this.handleColumnCardExport(columnIndex, action);\n                break;\n            case CardActionType.HIGHLIGHT:\n                this.action.emit(action);\n                break;\n        }\n    }\n\n    trackByColumnName(index: number, card: ColumnCard) {\n        return card.column.name;\n    }\n\n    dropColumn(event: CdkDragDrop<string[]>) {\n        this.action.emit({\n            type: CardActionType.REORDER_HEADER_CARD,\n            cardId: this.params.id,\n            previousIndex: event.previousIndex,\n            currentIndex: event.currentIndex\n        });\n        this.wt1Service.event('statistics-drag-drop-header-card-column', {});\n    }\n}\n","import { Injectable } from '@angular/core';\nimport d3 from 'd3';\n\n/**\n * A global registry of colors assigned to certain variables.\n *\n * Colors are cycled from 'categoryColorPalette', even indexes first, odd colors next, for higher contrast.\n *\n * Components using an independent palette should use getColorFromIndex, providing their own offsets starting from 0.\n * Components using a palette shared with other components should use getColorForVariable,\n *  providing the name of the color to share as parameter\n */\n@Injectable({\n    providedIn: 'root'\n})\nexport class ColorsService {\n    private categoryColorPalette: string[];\n    private categoryColorMap: Map<string, string> = new Map<string, string>();\n    private nextCategoryColorIndex = 0;\n\n    constructor() {\n        this.categoryColorPalette = d3.scale.category20().range().concat(d3.scale.category20b().range());\n    }\n\n    private getNextNamedColor(): string {\n        const ret = this.categoryColorPalette[this.nextCategoryColorIndex];\n        this.nextCategoryColorIndex += 2;\n        if (this.nextCategoryColorIndex >= this.categoryColorPalette.length) {\n            // toggling even/odd color indexes\n            this.nextCategoryColorIndex = (this.nextCategoryColorIndex - this.categoryColorPalette.length + 1) % 2;\n        }\n        return ret;\n    }\n\n    public getColorForVariable(name: string): string {\n        let ret = this.categoryColorMap.get(name);\n        if (!ret) {\n            ret = this.getNextNamedColor();\n            this.categoryColorMap.set(name, ret);\n        }\n        return ret;\n    }\n\n    public getColorFromIndex(index: number): string {\n        const offset = Math.floor(index / this.categoryColorPalette.length) % 2;\n        return this.categoryColorPalette[(index * 2 + offset) % this.categoryColorPalette.length];\n    }\n}\n","import { Injectable } from '@angular/core';\n\nconst PATTERN_CANVAS_SIDE_LENGTH = 10;\nconst PATTERN_WIDTH = PATTERN_CANVAS_SIDE_LENGTH;\nconst PATTERN_HEIGHT = PATTERN_CANVAS_SIDE_LENGTH;\nconst PATTERN_DIVISIONS = 6;\n\n/**\n * ECharts accepts a pattern wherever a color is expected\n *\n * Undocumented in ECharts, but possibly documented in 'zrender'.\n * I don't speak chinese so I can't check.\n */\ninterface EChartPattern {\n    type: 'pattern';\n    image: HTMLCanvasElement;\n    repeat: 'repeat' | 'repeat-x' | 'repeat-y';\n}\n\n/**\n * Generate color patterns (such as stripes)\n * A pattern a small image which can be repeated to create the desired effect\n */\n@Injectable({ providedIn: 'root' })\nexport class PatternsService {\n    patternCache: Map<string, EChartPattern> = new Map();\n\n    // Re-use a cache pattern or generate a new one\n    // Beware: it can create memory leaks if a lot of different colors are requested (cache never expires)\n    public getStripePattern(stripeColor: string, backgroundColor?: string): EChartPattern {\n        const cacheKey = stripeColor + '-' + backgroundColor;\n        let pattern = this.patternCache.get(cacheKey);\n        if (!pattern) {\n            pattern = this.generateStripePattern(stripeColor, backgroundColor);\n            this.patternCache.set(cacheKey, pattern);\n        }\n        return pattern;\n    }\n\n    // Derived from https://stackoverflow.com/a/47288427\n    public generateStripePattern(stripeColor: string, backgroundColor?: string): EChartPattern {\n        const patternCanvas = document.createElement('canvas');\n        patternCanvas.width = PATTERN_WIDTH;\n        patternCanvas.height = PATTERN_HEIGHT;\n\n        const pctx = patternCanvas.getContext('2d')!;\n        pctx.imageSmoothingEnabled = true;\n\n        // Fill background if a color is provided (otherwise, it is transparent)\n        if (backgroundColor) {\n            pctx.fillStyle = backgroundColor;\n            pctx.fillRect(0, 0, patternCanvas.width, patternCanvas.height);\n        }\n\n        // Draw the stripes\n        pctx.fillStyle = stripeColor;\n\n        // Top line\n        pctx.beginPath();\n        pctx.moveTo(0, PATTERN_HEIGHT * (1 / PATTERN_DIVISIONS));\n        pctx.lineTo(PATTERN_WIDTH * (1 / PATTERN_DIVISIONS), 0);\n        pctx.lineTo(0, 0);\n        pctx.lineTo(0, PATTERN_HEIGHT * (1 / PATTERN_DIVISIONS));\n        pctx.fill();\n\n        // Middle line\n        pctx.beginPath();\n        pctx.moveTo(PATTERN_WIDTH, PATTERN_HEIGHT * (1 / PATTERN_DIVISIONS));\n        pctx.lineTo(PATTERN_WIDTH * (1 / PATTERN_DIVISIONS), PATTERN_HEIGHT);\n        pctx.lineTo(0, PATTERN_HEIGHT);\n        pctx.lineTo(0, PATTERN_HEIGHT * ((PATTERN_DIVISIONS - 1) / PATTERN_DIVISIONS));\n        pctx.lineTo(PATTERN_WIDTH * ((PATTERN_DIVISIONS - 1) / PATTERN_DIVISIONS), 0);\n        pctx.lineTo(PATTERN_WIDTH, 0);\n        pctx.lineTo(PATTERN_WIDTH, PATTERN_HEIGHT * (1 / PATTERN_DIVISIONS));\n        pctx.fill();\n\n        // Bottom line\n        pctx.beginPath();\n        pctx.moveTo(PATTERN_WIDTH, PATTERN_HEIGHT * ((PATTERN_DIVISIONS - 1) / PATTERN_DIVISIONS));\n        pctx.lineTo(PATTERN_WIDTH * ((PATTERN_DIVISIONS - 1) / PATTERN_DIVISIONS), PATTERN_HEIGHT);\n        pctx.lineTo(PATTERN_WIDTH, PATTERN_HEIGHT);\n        pctx.lineTo(PATTERN_WIDTH, PATTERN_HEIGHT * ((PATTERN_DIVISIONS - 1) / PATTERN_DIVISIONS));\n        pctx.fill();\n\n        return { type: 'pattern', image: patternCanvas, repeat: 'repeat' };\n    }\n}\n","import { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges } from '@angular/core';\nimport { CategoricalHistogramCard } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { encodeHTML } from 'entities';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport d3 from 'd3';\nimport { PatternsService } from '@shared/graphics/patterns.service';\n\n\n@Component({\n    selector: 'categorical-histogram-card-body',\n    templateUrl: './categorical-histogram-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './categorical-histogram-card-body.component.less'\n    ],\n})\nexport class CategoricalHistogramCardBodyComponent implements OnChanges {\n    @Input() results: CategoricalHistogramCard.CategoricalHistogramCardResult;\n    @Input() params: CategoricalHistogramCard;\n    @Input() hasFixedHeight: boolean;\n    @Input() renderingMode: CardBodyRenderingMode;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    constructor(\n        private colorsService: ColorsService,\n        private patternsService: PatternsService) { }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.buildChart();\n        }\n    }\n\n    get compactLoading(): boolean {\n        return this.isMiniature();\n    }\n\n    private isMiniature() {\n        return this.renderingMode === CardBodyRenderingMode.MINIATURE_CARD;\n    }\n\n    chartClicked(event: any) {\n        if (event.componentType === 'series'\n            && event.componentSubType === 'bar') {\n            const index: number = event.dataIndex;\n            const filter = this.results.histogram.filters[index];\n            this.action.emit({\n                type: CardActionType.HIGHLIGHT,\n                filter: { ...filter, name: this.params.column.name + ': ' + filterName(filter) }\n            });\n        }\n    }\n\n    buildChart() {\n        const labels = this.results.histogram.filters.map(filter => filterName(filter));\n        const data = this.results.histogram.counts!;\n        const highlightData = this.results.histogram.highlightedCounts;\n        const series: SeriesOption[] = [];\n\n        if (highlightData) {\n            series.push({\n                type: 'bar',\n                stack: 'stack',\n                data: highlightData.map((val, i) => {\n                    const itemColor = this.colorsService.getColorForVariable(labels[i]);\n                    const borderColor = d3.rgb(itemColor).darker(2).toString();\n                    const stripedPattern = this.patternsService.getStripePattern(borderColor, itemColor);\n                    return {\n                        value: val,\n                        itemStyle: {\n                            color: stripedPattern as any, // Undocumented officially\n                            borderColor: borderColor,\n                            borderWidth: 1\n                        }\n                    };\n                })\n            });\n        }\n\n        series.push({\n            type: 'bar',\n            stack: 'stack',\n            data: data.map((val, i) => {\n                const color = this.colorsService.getColorForVariable(labels[i]);\n                if (highlightData) {\n                    val = val - highlightData[i];\n                }\n                return {\n                    value: val,\n                    emphasis: { itemStyle: { color } },\n                    itemStyle: { color }\n                };\n            })\n        });\n\n        this.chartOptions = {\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            tooltip: {\n                formatter: (value: any) => {\n                    const dataIndex = value.dataIndex;\n                    let tooltip = encodeHTML(this.params.column.name)\n                        + ': <b>'\n                        + encodeHTML(labels[dataIndex])\n                        + '</b>';\n                    tooltip += '<br>Count: <b>' + encodeHTML('' + data[dataIndex]) + '</b>';\n                    if (this.results.histogram.highlightedCounts) {\n                        tooltip += '<br>Selected count: <b>' + encodeHTML('' + highlightData![dataIndex]) + '</b>';\n                    }\n\n                    return tooltip;\n                },\n                confine: true,\n                trigger: 'item',\n                axisPointer: { type: 'none' }\n            },\n            xAxis: {\n                type: 'category',\n                data: labels,\n                axisLabel: { color: '#999999', formatter: this.isMiniature() ? ()=>'' : undefined},\n                axisTick: { show: true },\n                axisLine: { show: true }\n            },\n            yAxis: {\n                type: 'value',\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999', formatter: this.isMiniature() ? ()=>'' : undefined }\n            },\n            series,\n            animation: false\n        };\n    }\n\n}\n","<lazy-echart\n    class=\"chart\"\n    [class.chart--fixed-height]=\"hasFixedHeight\"\n    [compactLoading]=\"compactLoading\"\n    [options]=\"chartOptions\"\n    (chartClick)=\"chartClicked($event)\"\n></lazy-echart>\n","<span\n    class=\"pvalue pvalue--rejected\"\n    *ngIf=\"pvalue <= significanceLevel else inconclusive\"\n    [matTooltip]=\"'𝘱-value &le; significance level (&le; '\n        + (significanceLevel | smarterNumber)\n        + ')\\nHypothesis rejected'\"\n>\n    {{ label }} {{ pvalue | smarterNumber }}\n</span>\n\n<ng-template #inconclusive>\n    <span\n        class=\"pvalue\"\n        [matTooltip]=\"'𝘱-value &gt; significance level (&gt; '\n        + (significanceLevel | smarterNumber)\n        + ')\\nTest is inconclusive'\"\n    >\n        {{ label }} {{ pvalue | smarterNumber }}\n    </span>\n</ng-template>\n","import { Component, ChangeDetectionStrategy, Input } from '@angular/core';\n\n@Component({\n    selector: 'colored-pvalue',\n    templateUrl: './colored-pvalue.component.html',\n    styleUrls: ['./colored-pvalue.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ColoredPValueComponent {\n    @Input() pvalue: number;\n    @Input() significanceLevel: number;\n    @Input() showLabel: boolean;\n\n    get label() {\n        return this.showLabel ? '𝘱-value:' : ''\n    }\n}\n","<table class=\"stats-table\">\n    <tbody>\n        <ng-container *ngFor=\"let stat of results.stats; let index = index; trackBy: trackByIndex\">\n            <tr class=\"stats-table__row\">\n                <th class=\"stats-table__head\">\n                    <span [matTooltip]=\"stat.fullLabel\">{{ stat.shortLabel }}</span>\n                    <button\n                        *ngIf=\"canCreateCardFromTemplate(stat)\"\n                        class=\"btn btn--icon btn--secondary add-card-button\"\n                        (click)=\"createCardFromTemplate(stat)\"\n                        matTooltip=\"Add card\"\n                        matTooltipPosition=\"right\"\n                    >\n                        <i class=\"icon icon-plus-sign\"></i>\n                    </button>\n                </th>\n                <td class=\"stats-table__cell\">\n                    <div *ngIf=\"stat.warning\" class=\"pull-right stat-warning\">\n                        <i class=\"icon-warning-sign\" [matTooltip]=\"stat.warning\"></i>\n                    </div>\n\n                    <span *ngIf=\"stat.type == 'INT' && stat.intValue != null\" [matTooltip]=\"stat.intValue\">\n                        {{ stat.intValue }}\n                    </span>\n\n                    <span *ngIf=\"stat.type == 'FAILURE'\" [matTooltip]=\"stat.failureMessage\">\n                        N/A\n                    </span>\n\n                    <span *ngIf=\"stat.type == 'NOT_COMPUTED'\">\n                        <span class=\"dku-loader icon-spin card-spinner card-spinner__stats-table\"></span>\n                    </span>\n\n                    <span *ngIf=\"stat.type == 'FLOAT' && stat.floatValue != null\" [matTooltip]=\"stat.floatValue\">\n                        {{ stat.floatValue | smarterNumber }}\n                    </span>\n\n                    <span *ngIf=\"stat.type == 'FILTERS' && stat.filterValues != null\">\n                        <ng-container *ngFor=\"let filter of stat.filterValues; let first = first\">\n                            {{ first ? '' : ',' }}\n                            {{ filter | filterName | slice:0:100 }}<ng-container *ngIf=\"(filter | filterName).length > 100\">...</ng-container>\n                        </ng-container>\n                    </span>\n                </td>\n            </tr>\n\n            <ng-container *ngIf=\"stat.pvalue != null\">\n                <tr class=\"stats-table__row--invisible\">\n                    <!-- Fake row to temporarily skip alternate color -->\n                </tr>\n                <tr class=\"stats-table__row\">\n                    <th class=\"stats-table__head stats-table__head--derived\">𝘱-value</th>\n                    <td class=\"stats-table__cell stats-table__cell--derived\">\n                        <colored-pvalue [pvalue]=\"stat.pvalue\" [significanceLevel]=\"1 - params.confidenceLevel\">\n                        </colored-pvalue>\n                    </td>\n                </tr>\n            </ng-container>\n\n            <ng-container *ngIf=\"stat.lower != null && stat.upper != null\">\n                <tr class=\"stats-table__row--invisible\">\n                    <!-- Fake row to temporarily skip alternate color -->\n                </tr>\n                <tr class=\"stats-table__row\">\n                    <th class=\"stats-table__head stats-table__head--derived\" [matTooltip]=\"'Confidence interval'\">Conf. int.</th>\n                    <td class=\"stats-table__cell stats-table__cell--derived\">\n                        [<span [matTooltip]=\"stat.lower\">{{ stat.lower | smarterNumber }}</span>,\n                        <span [matTooltip]=\"stat.upper\">{{ stat.upper | smarterNumber }}</span>]\n                    </td>\n                </tr>\n            </ng-container>\n        </ng-container>\n    </tbody>\n</table>","import { Component, Input, Output, EventEmitter, ChangeDetectionStrategy, ViewContainerRef } from '@angular/core';\nimport { UnivariateSummaryStatsCard, BivariateSummaryStatsCard, Card, SummaryCardBuilder, isBivariateSummaryStatsCard, Variable } from 'src/generated-sources';\nimport { StatKey } from '@features/eda/worksheet/cards/config/generic-summary-stats-card-config/generic-summary-stats-card-config.component';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { createChi2IndTestCard, createKSTest2SampCard, createMoodTestNSampCard, createOneWayAnovaCard } from '@features/eda/worksheet/cards/help/card-creation-templates';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { EditCardModalComponent } from '@features/eda/worksheet/card-wizard/edit-card-modal/edit-card-modal.component';\n\ntype SupportedParams = UnivariateSummaryStatsCard | BivariateSummaryStatsCard;\ntype SupportedResults = UnivariateSummaryStatsCard.UnivariateSummaryStatsCardResult\n    | BivariateSummaryStatsCard.BivariateSummaryStatsCardResult;\n\nfunction getCardTemplateFromStats(\n    stat: SummaryCardBuilder.ComputedStat,\n    sourceCard: SupportedParams\n): Card | null {\n    if (isBivariateSummaryStatsCard(sourceCard)) {\n        const { xColumn, yColumn, confidenceLevel } = sourceCard;\n        const catColumn = xColumn.type === Variable.Type.CATEGORICAL ? xColumn : yColumn;\n        const numColumn = xColumn.type === Variable.Type.CONTINUOUS ? xColumn: yColumn;\n\n        switch(stat.flagName as StatKey) {\n            case 'chi2':\n                return createChi2IndTestCard(xColumn, yColumn, confidenceLevel);\n            case 'oneWayAnova':\n                return createOneWayAnovaCard(numColumn, catColumn, confidenceLevel);\n            case 'nSampleMood':\n                return createMoodTestNSampCard(numColumn, catColumn, confidenceLevel);\n            case 'kolmogorovSmirnov':\n                return createKSTest2SampCard(numColumn, catColumn, confidenceLevel);\n            default:\n                return null;\n        }\n    }\n\n    return null;\n}\n\n@Component({\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    selector: 'generic-summary-stats-card-body',\n    templateUrl: './generic-summary-stats-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-spinner.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/test-conclusion.less',\n        './generic-summary-stats-card-body.component.less'\n    ]\n})\nexport class GenericSummaryStatsCardBodyComponent {\n    @Input() results: SupportedResults;\n    @Input() params: SupportedParams;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    constructor(\n        private modalsService: ModalsService,\n        private viewContainerRef: ViewContainerRef\n    ) {\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n\n    canCreateCardFromTemplate(stat: SummaryCardBuilder.ComputedStat): boolean {\n        if (this.readOnly || !this.extendedActions) {\n            return false;\n        }\n\n        // The user can create a card as long as the template exists.\n        return getCardTemplateFromStats(stat, this.params) != null;\n    }\n\n    createCardFromTemplate(stat: SummaryCardBuilder.ComputedStat) {\n        if (!this.canCreateCardFromTemplate(stat)) {\n            return;\n        }\n\n        const cardTemplate = getCardTemplateFromStats(stat, this.params);\n\n        this.modalsService.open(\n            EditCardModalComponent,\n            { params: cardTemplate! },\n            ModalShape.NONE,\n            this.viewContainerRef\n        ).then(({ card }) => {\n            this.action.emit({\n                type: CardActionType.ADD,\n                card,\n            });\n        }).catch(() => {});\n    }\n}\n","<table class=\"stats-table\">\n    <thead>\n        <tr>\n            <th class=\"stats-table__head\">%</th>\n            <th class=\"stats-table__head\">Value</th>\n        </tr>\n    </thead>\n    <tbody>\n        <ng-container *ngFor=\"let quantile of results.quantiles; let index = index; trackBy: trackByIndex\">\n            <tr class=\"stats-table__row\">\n                <th class=\"stats-table__head\">{{ quantile.freq | percent: '1.0-4' }}</th>\n                <td class=\"stats-table__cell\">{{ quantile.quantile | smarterNumber }}</td>\n            </tr>\n            <ng-container *ngIf=\"params.showConfidenceInterval && quantile.lower != null && quantile.upper != null\">\n                <tr></tr>\n                <tr class=\"stats-table__row\">\n                    <th class=\"stats-table__head stats-table__head--derived\" [matTooltip]=\"'Confidence interval'\">Conf. int.</th>\n                    <td class=\"stats-table__cell stats-table__cell--derived\">[{{ quantile.lower | smarterNumber }}, {{ quantile.upper | smarterNumber }}]</td>\n                </tr>\n            </ng-container>\n        </ng-container>\n    </tbody>\n</table>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { QuantilesTableCard } from 'src/generated-sources';\n\n@Component({\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    selector: 'quantiles-table-card-body',\n    templateUrl: './quantiles-table-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/stats-table.less',\n        './quantiles-table-card-body.component.less'\n    ]\n})\nexport class QuantilesTableCardBodyComponent {\n    @Input() params: QuantilesTableCard;\n    @Input() results: QuantilesTableCard.QuantilesTableCardResult;\n\n    trackByIndex(index: number) {\n        return index;\n    }\n}\n","// @ts-ignore\nimport IntervalScale from 'echarts/lib/scale/Interval';\nimport _, { List } from 'lodash';\n\nexport function getChartNumericalAxisMaxTickLength(splitXAxis: number, minVal: number, maxVal: number): number {\n    const interval = new IntervalScale();\n    interval.setExtent(minVal, maxVal);\n    interval.niceExtent({ splitXAxis, fixMin: true, fixMax: true });\n    const ticks: ({ value: number })[] = interval.getTicks();\n    const tickLengths = ticks.map(it => String(it.value).length)\n    return Math.max(...tickLengths);\n}\n\n// Stricter zip that only supports array of same size, and that can't generate undefined\n// (useful to comply to echarts type definitions)\nexport function zipSameSize<T>(arr1: List<T>, arr2: List<T>): T[][] {\n    if(arr1.length != arr2.length) {\n        throw new Error(\"Not the same size\");\n    }\n    return _.zip(arr1, arr2) as unknown as T[][];\n}\n","import { Component, SimpleChanges, OnChanges, Input, Output, EventEmitter, ChangeDetectionStrategy } from '@angular/core';\nimport { NumericalHistogramCard, IntervalFilter, BinningMode } from 'src/generated-sources';\nimport { CustomSeriesOption, EChartsOption, SeriesOption } from 'echarts';\nimport { encodeHTML } from 'entities';\nimport _ from 'lodash';\nimport d3 from 'd3';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { getChartNumericalAxisMaxTickLength } from '@features/eda/echarts-utils';\nimport { PatternsService } from '@shared/graphics/patterns.service';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\nconst BAR_COLOR = '#c4dffe';\n\n@Component({\n    selector: 'numerical-histogram-card-body',\n    templateUrl: './numerical-histogram-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './numerical-histogram-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class NumericalHistogramCardBodyComponent implements OnChanges {\n    @Input() results: NumericalHistogramCard.NumericalHistogramCardResult;\n    @Input() params: NumericalHistogramCard;\n    @Input() hasFixedHeight: boolean;\n    @Input() renderingMode: CardBodyRenderingMode;\n    @Output() action = new EventEmitter<CardAction>();\n\n    histogramOptions: EChartsOption | undefined;\n\n    constructor(\n        private colorsService: ColorsService,\n        private patternsService: PatternsService\n    ) { }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results || changes.params) {\n            if (this.params.showHistogram && this.params.binningMode === BinningMode.CUSTOM) {\n                this.histogramOptions = this.buildBarChartOptions();\n            } else {\n                this.histogramOptions = this.buildChartOptions(this.results);\n            }\n        }\n    }\n\n    get compactLoading(): boolean {\n        return this.isMiniature();\n    }\n\n    private isMiniature() {\n        return this.renderingMode === CardBodyRenderingMode.MINIATURE_CARD;\n    }\n\n    buildBarChartOptions(): EChartsOption | undefined {\n        const labels = this.results.histogram!.bins.map(b => filterName(b));\n        const data = this.results.histogram!.counts!;\n        const series: SeriesOption[] = [];\n        const highlightData = this.results.histogram!.highlightedCounts;\n\n        const tooltipFormatter = (value: any) => {\n            const dataIndex = value.dataIndex;\n            let tooltip = encodeHTML(this.params.column.name)\n                + ': <b>'\n                + encodeHTML(labels[dataIndex])\n                + '</b>';\n            tooltip += '<br>Count: <b>' + encodeHTML('' + data[dataIndex]) + '</b>';\n            if (highlightData) {\n                tooltip += '<br>Selected count: <b>' + encodeHTML('' + highlightData![dataIndex]) + '</b>';\n            }\n\n            return tooltip;\n        };\n\n        if (highlightData) {\n            series.push({\n                type: 'bar',\n                stack: 'stack',\n                data: highlightData.map((val, i) => {\n                    const itemColor = this.colorsService.getColorForVariable(labels[i]);\n                    const borderColor = d3.rgb(itemColor).darker(2).toString();\n                    const stripedPattern = this.patternsService.getStripePattern(borderColor, itemColor);\n                    return {\n                        value: val,\n                        itemStyle: {\n                            color: stripedPattern,\n                            barBorderColor: borderColor,\n                            barBorderWidth: 1\n                        }\n                    };\n                }) as any,\n                tooltip: { formatter: tooltipFormatter },\n            });\n        }\n\n        series.push({\n            type: 'bar',\n            stack: 'stack',\n            data: data.map((val, i) => {\n                const color = this.colorsService.getColorForVariable(labels[i]);\n                if (highlightData) {\n                    val = val - highlightData[i];\n                }\n                return {\n                    value: val,\n                    itemStyle: { color },\n                    emphasis: { itemStyle: { color } }\n                };\n            }),\n            tooltip: { formatter: tooltipFormatter }\n        });\n\n        return {\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: { type: 'none' }\n            },\n            xAxis: {\n                type: 'category',\n                data: labels,\n                axisLabel: { color: '#999999' },\n                axisTick: { show: true },\n                axisLine: { show: true }\n            },\n            yAxis: {\n                type: 'value',\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999' }\n            },\n            series,\n            animation: false\n        };\n    }\n\n    chartClicked(event: any) {\n        if (event.componentType === 'series'\n            && (event.componentSubType === 'custom' || event.componentSubType === 'bar')\n            && this.results.histogram) {\n            const index: number = event.dataIndex;\n            let filter = this.results.histogram.bins[index];\n            if (event.event.event.shiftKey\n                && filter.type === 'interval'\n                && this.params.highlightFilter\n                && this.params.highlightFilter.type === 'interval'\n                && this.params.highlightFilter.column === this.params.column.name) {\n                filter = {\n                    column: this.params.column.name,\n                    type: 'interval',\n                    closed: IntervalFilter.ClosedMode.LEFT,\n                    left: Math.min(filter.left, this.params.highlightFilter.left),\n                    right: Math.max(filter.right, this.params.highlightFilter.right)\n                };\n            }\n\n            this.action.emit({\n                type: CardActionType.HIGHLIGHT,\n                filter: { ...filter, name: this.params.column.name + ': ' + filterName(filter) }\n            });\n        }\n    }\n\n    buildChartOptions(results: NumericalHistogramCard.NumericalHistogramCardResult): EChartsOption | undefined {\n        const series: SeriesOption[] = [];\n        let maxCount = 1;\n        let minVal = Number.MAX_VALUE;\n        let maxVal = -Number.MAX_VALUE;\n        let boxPlotInverseRatio = 1;\n\n        if (!results.histogram && !results.boxPlot) {\n            // Nothing to show\n            return;\n        }\n\n        if (results.histogram) {\n            // Boxplot take 1/6 of vertical space\n            boxPlotInverseRatio = 6;\n        }\n\n        if (results.histogram) {\n            // Format [min, max, count, label, highlightedCount?][]\n            type HistogramBar = [number, number, number, string, number | undefined | null];\n            const histogramData: HistogramBar[] = [];\n            for (let i = 0; i < results.histogram.bins.length; i++) {\n                const bin = results.histogram.bins[i] as IntervalFilter;\n                const count = results.histogram.counts[i];\n                const highlightedCount = results.histogram.highlightedCounts && results.histogram.highlightedCounts[i];\n                histogramData.push([bin.left, bin.right, count, filterName(bin), highlightedCount]);\n            }\n\n            maxCount = _.chain(histogramData).map(2).max().value() * (1 + 1 / boxPlotInverseRatio) + 1;\n            minVal = _.chain(histogramData).map(0).min().value();\n            maxVal = _.chain(histogramData).map(1).max().value();\n\n            const tooltipFormatter = ({ value }: { value: HistogramBar }) => {\n                let tooltip = encodeHTML(this.params.column.name)\n                    + ': <b>'\n                    + encodeHTML(value[3])\n                    + '</b>';\n                tooltip += '<br>Count: <b>' + encodeHTML('' + value[2]) + '</b>';\n                if (this.results.histogram!.highlightedCounts) {\n                    tooltip += '<br>Selected count: <b>' + encodeHTML('' + value[4]) + '</b>';\n                }\n\n                return tooltip;\n            };\n\n            const normalStyle = { fill: BAR_COLOR, borderWidth: 0 };\n            const darkenedBarColor = d3.rgb(BAR_COLOR).darker(2).toString();\n            const highlightedStyle = {\n                borderWidth: 0,\n                fill: this.patternsService.getStripePattern(darkenedBarColor, BAR_COLOR)\n            };\n\n            series.push({\n                type: 'custom',\n                tooltip: { formatter: tooltipFormatter as any },\n                yAxisIndex: 0,\n                renderItem: (params: any, api: any) => {\n                    const yValue = api.value(2);\n                    const highlightedHValue = api.value(4);\n                    const start = api.coord([api.value(0), yValue]);\n                    const size = api.size([api.value(1) - api.value(0), results.histogram!.highlightedCounts ? yValue - highlightedHValue : yValue]);\n\n                    return {\n                        type: 'rect',\n                        shape: {\n                            x: start[0],\n                            y: start[1],\n                            width: size[0],\n                            height: size[1]\n                        },\n                        style: api.style(normalStyle),\n                        styleEmphasis: api.styleEmphasis(normalStyle)\n                    };\n                },\n                data: histogramData\n            } as CustomSeriesOption);\n\n            if (results.histogram!.highlightedCounts) {\n                // \"Augmented\" area of the highlighted zone (to create borders)\n                series.push({\n                    type: 'custom',\n                    yAxisIndex: 0,\n                    silent: true,\n                    renderItem: (params: any, api: any) => {\n                        const highlightedHValue = api.value(4);\n                        const highlightedStart = api.coord([api.value(0), highlightedHValue]);\n                        const highlightedSize = api.size([api.value(1) - api.value(0), highlightedHValue]);\n\n                        return {\n                            type: 'rect',\n                            shape: {\n                                x: highlightedStart[0] - 1,\n                                y: highlightedStart[1],\n                                width: highlightedSize[0] + 2,\n                                height: highlightedSize[1]\n                            },\n                            style: api.style({ fill: darkenedBarColor, borderWidth: 0 })\n                        };\n                    },\n                    data: histogramData\n                } as SeriesOption);\n\n                // Highlighted (striped) area\n                series.push({\n                    tooltip: { formatter: tooltipFormatter as any },\n                    type: 'custom',\n                    yAxisIndex: 0,\n                    renderItem: (params: any, api: any) => {\n                        const highlightedHValue = api.value(4);\n                        const highlightedStart = api.coord([api.value(0), highlightedHValue]);\n                        const highlightedSize = api.size([api.value(1) - api.value(0), highlightedHValue]);\n\n                        return {\n                            type: 'rect',\n                            shape: {\n                                x: highlightedStart[0],\n                                y: highlightedStart[1] + 1,\n                                width: highlightedSize[0],\n                                height: highlightedSize[1] - 1\n                            },\n                            style: api.style(highlightedStyle),\n                            styleEmphasis: api.styleEmphasis(highlightedStyle)\n                        };\n\n                    },\n                    data: histogramData\n                } as CustomSeriesOption);\n            }\n        }\n\n        if (results.boxPlot) {\n            minVal = Math.min(results.boxPlot.min!, minVal);\n            maxVal = Math.max(results.boxPlot.max!, maxVal);\n\n            series.push({\n                tooltip: {\n                    formatter: ((param: { data: number[] }) => {\n                        return encodeHTML(this.params.column.name)\n                            + ':<br>' + [\n                                '&bull; 1st percentile: ' + encodeHTML(smarterNumber(param.data[1])),\n                                '&bull; 1st quartile: ' + encodeHTML(smarterNumber(param.data[2])),\n                                '&bull; Median: ' + encodeHTML(smarterNumber(param.data[3])),\n                                '&bull; 3rd quartile: ' + encodeHTML(smarterNumber(param.data[4])),\n                                '&bull; 99th percentile: ' + encodeHTML(smarterNumber(param.data[5]))\n                            ].join('<br/>');\n                    }) as any\n                },\n                type: 'boxplot',\n                coordinateSystem: 'cartesian2d',\n                yAxisIndex: 1,\n                data: [\n                    // Fake data to position/size the boxplot according to requested ratio\n                    ..._.fill(new Array(boxPlotInverseRatio - 1), []),\n                    [\n                        results.boxPlot.pc01 || 0,\n                        results.boxPlot.pc25 || 0,\n                        results.boxPlot.median || 0,\n                        results.boxPlot.pc75 || 0,\n                        results.boxPlot.pc99 || 0\n                    ]\n                ]\n            });\n        }\n\n        const splitXAxis = 5;\n        const maxTickLength = getChartNumericalAxisMaxTickLength(splitXAxis, minVal, maxVal);\n        const rotate = maxTickLength > 4 ? 45 : 0;\n\n        return {\n            tooltip: {\n                confine: true\n            },\n            color: ['#3398DB'],\n            animation: false,\n            grid: { left: 0, top: 5, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                type: 'value',\n                scale: false,\n                min: minVal,\n                max: maxVal,\n                splitNumber: splitXAxis,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: {\n                    color: '#999999',\n                    rotate,\n                    formatter: (value: number) => {\n                        if (this.isMiniature()) {\n                            return '';\n                        }\n\n                        let stringRepr = '' + value;\n                        if (stringRepr.length > 6) {\n                            stringRepr = value.toPrecision(5);\n                        }\n                        return stringRepr;\n                    }\n                }\n            }],\n            yAxis: [\n                {\n                    type: 'value',\n                    min: 0,\n                    max: maxCount,\n                    axisLine: { show: false },\n                    axisTick: { show: false },\n                    axisLabel: {\n                        color: '#999999',\n                        formatter: (value: number) => {\n                            if (value === maxCount || this.isMiniature()) {\n                                return '';\n                            }\n\n                            let stringRepr = '' + value;\n                            if (stringRepr.length > 6) {\n                                stringRepr = value.toPrecision(5);\n                            }\n                            return stringRepr;\n                        }\n                    },\n                    show: !!results.histogram\n                }, {\n                    type: 'category',\n                    show: false\n                }\n            ],\n            series\n        };\n    }\n}\n","<lazy-echart\n    class=\"chart\"\n    [options]=\"histogramOptions\"\n    [compactLoading]=\"compactLoading\"\n    [class.chart--fixed-height]=\"hasFixedHeight\"\n    (chartClick)=\"chartClicked($event)\">\n</lazy-echart>\n","<table class=\"stats-table\">\n    <tbody class=\"stats-table__body\">\n        <tr\n            *ngFor=\"let filter of results.frequencies.filters; let index = index; trackBy: trackByIndex\"\n            class=\"stats-table__row\"\n        >\n            <th class=\"stats-table__head\" [matTooltip]=\"filter | filterName\">\n                {{ filter | filterName | slice:0:100 }}\n            </th>\n            <td class=\"stats-table__cell\">\n                <ng-container *ngIf=\"results.frequencies.totalCount > 0\">\n                    {{ (results.frequencies.counts[index] / results.frequencies.totalCount) | percent }}\n                </ng-container>\n            </td>\n            <td class=\"stats-table__cell\">{{ results.frequencies.counts[index] }}</td>\n        </tr>\n        <tr class=\"stats-table__row\">\n            <th\n                class=\"stats-table__header\"\n                colspan=\"2\"\n            >\n                N distinct\n            </th>\n            <td class=\"stats-table__cell\">{{ results.distinctCount }}</td>\n        </tr>\n    </tbody>\n</table>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { UnivariateFrequencyTableCard } from 'src/generated-sources';\n\n\n@Component({\n    selector: 'univariate-frequency-table-card-body',\n    templateUrl: './univariate-frequency-table-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/stats-table.less',\n        './univariate-frequency-table-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnivariateFrequencyTableCardBodyComponent {\n    @Input() params: UnivariateFrequencyTableCard;\n    @Input() results: UnivariateFrequencyTableCard.UnivariateFrequencyTableCardResult;\n\n    trackByIndex(index: number) {\n        return index;\n    }\n}\n","import { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { BivariateHistogramCard } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { encodeHTML } from 'entities';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport d3 from 'd3';\nimport { PatternsService } from '@shared/graphics/patterns.service';\n\n@Component({\n    selector: 'bivariate-histogram-card-body',\n    templateUrl: './bivariate-histogram-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './bivariate-histogram-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class BivariateHistogramCardBodyComponent implements OnChanges {\n    @Input() results: BivariateHistogramCard.BivariateHistogramCardResult;\n    @Input() params: BivariateHistogramCard;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    constructor(\n        private colorsService: ColorsService,\n        private patternsService: PatternsService) {\n    }\n\n    chartClicked(event: any) {\n        if (event.componentType === 'series'\n            && event.componentSubType === 'bar') {\n            const xIndex: number = event.dataIndex;\n            let yIndex;\n            if (this.results.histogram.highlightedCounts) {\n                // Because we have 2 series per bar (regular+highlight)\n                yIndex = Math.floor(event.seriesIndex / 2);\n            } else {\n                yIndex = event.seriesIndex;\n            }\n            let xFilter = this.results.histogram.xBins[xIndex];\n            xFilter = { ...xFilter, name: this.params.xColumn.name + ': ' + filterName(xFilter) };\n            let yFilter = this.results.histogram.yBins[yIndex];\n            yFilter = { ...yFilter, name: this.params.yColumn.name + ': ' + filterName(yFilter) };\n\n            this.action.emit({\n                type: CardActionType.HIGHLIGHT,\n                filter: { type: 'and', filters: [xFilter, yFilter] }\n            });\n        }\n    }\n\n    updateNBins(value: number) {\n        const newParams = {\n            ...this.params,\n            maxValues: value\n        };\n\n        this.action.emit({ type: CardActionType.UPDATE, newParams });\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.chartOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    buildChartOptions(results: BivariateHistogramCard.BivariateHistogramCardResult): EChartsOption {\n        const xBinLabels: string[] = [];\n        const histogramData = results.histogram;\n        const xBins = histogramData.xBins;\n        const yBins = histogramData.yBins;\n        const xBinCount = xBins.length;\n        const yBinCount = yBins.length;\n        const series: SeriesOption[] = [];\n        let maxCount = 0;\n\n        for (let j = 0; j < yBinCount; j++) {\n            const name = filterName(yBins[j]);\n            const regularData: number[] = [];\n            const highlightData: number[] = [];\n\n            const tooltipFormatter = (params: any) => {\n                const xLabel = filterName(xBins[params.dataIndex]);\n                const yLabel = filterName(yBins[j]);\n                const flatIndex = params.dataIndex * yBinCount + j;\n\n                let tooltip = `\n                    ${encodeHTML(this.params.xColumn.name)}:\n                    <b>${encodeHTML(xLabel)}</b>\n                    <br>\n                    ${encodeHTML(this.params.yColumn.name)}:\n                    <b>${encodeHTML(yLabel)}</b>\n                    <br>\n                    Count:\n                    <b>${encodeHTML('' + histogramData.counts[flatIndex])}</b>\n                `;\n\n                if (histogramData.highlightedCounts) {\n                    tooltip += `<br>Selected count:\n                        <b>\n                            ${encodeHTML('' + histogramData.highlightedCounts[flatIndex])}\n                        </b>\n                    `;\n                }\n                return tooltip;\n            };\n\n            for (let i = 0; i < xBinCount; i++) {\n                if (j === 0) {\n                    xBinLabels.push(filterName(xBins[i]));\n                }\n                const count = histogramData.counts[i * yBinCount + j];\n                maxCount = Math.max(count, maxCount);\n\n                if (histogramData.highlightedCounts) {\n                    const highlightCount = histogramData.highlightedCounts[i * yBinCount + j];\n                    regularData.push(count - highlightCount);\n                    highlightData.push(highlightCount);\n                } else {\n                    regularData.push(count);\n                }\n            }\n            const itemColor = this.colorsService.getColorForVariable(name);\n\n            if (histogramData.highlightedCounts) {\n                const borderColor = d3.rgb(itemColor).darker(2).toString();\n                const stripedPattern = this.patternsService.getStripePattern(borderColor, itemColor);\n                const highlightedItemStyle = {\n                    barBorderColor: borderColor,\n                    barBorderWidth: 1,\n                    color: (stripedPattern as any) // Bad typings\n                };\n                series.push({\n                    name,\n                    stack: 's' + j,\n                    type: 'bar',\n                    emphasis: { itemStyle: highlightedItemStyle },\n                    itemStyle: highlightedItemStyle,\n                    data: highlightData,\n                    tooltip: { formatter: tooltipFormatter }\n                });\n            }\n            series.push({\n                name,\n                type: 'bar',\n                stack: 's' + j,\n                emphasis: { itemStyle: { color: itemColor } },\n                itemStyle: { color: itemColor },\n                data: regularData,\n                tooltip: { formatter: tooltipFormatter }\n            });\n        }\n\n        return {\n            animation: false,\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: { type: 'none' }\n            },\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                type: 'category',\n                data: xBinLabels,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: {\n                    color: '#999999',\n                    rotate: 45,\n                    formatter(value: string | number) {\n                        const LABEL_LIMIT = 15;\n                        value = '' + value;\n                        return value.slice(0, LABEL_LIMIT) + (value.length > LABEL_LIMIT ? '...' : '');\n                    }\n                }\n            }],\n            yAxis: [{\n                type: 'value',\n                min: 0,\n                max: maxCount,\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999' }\n            }],\n            series\n        };\n    }\n\n}\n","<lazy-echart class=\"chart\" [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"chartOptions\"\n    (chartClick)=\"chartClicked($event)\"\n></lazy-echart>\n","import { CompactedArray } from 'src/generated-sources';\n\nexport async function decompactArray(compacted: CompactedArray) {\n    return new Promise<Float64Array>((resolve, reject) => {\n        const image = new Image();\n        image.onerror = () => {\n            // Error while loading image\n            reject();\n        };\n        image.onload = () => {\n            // Image loaded successfully\n            const w = image.width;\n            const h = image.height;\n\n            // Draw the image into a canvas\n            const canvas = document.createElement('canvas');\n            canvas.width = w;\n            canvas.height = h;\n            const ctx = canvas.getContext('2d')!;\n            ctx.drawImage(image, 0, 0);\n\n            // Retrieve pixel data from canvas\n            const imageData = ctx.getImageData(0, 0, w, h);\n            const dataView = new DataView(imageData.data.buffer);\n\n            // Rescale the values\n            const scale = (compacted.vmax - compacted.vmin) / (Math.pow(2, 24) - 1);\n            const offset = compacted.vmin;\n            const output = new Float64Array(w * h);\n            for (let i = 0; i < w * h; i++) {\n                dataView.setUint8(i * 4 + 3, 0); // Clean alpha\n                output[i] = offset + dataView.getUint32(i * 4, true) * scale;\n            }\n\n            resolve(output);\n        };\n\n        image.src = 'data:image/png;base64,' + compacted.data;\n    });\n}\n","import { Fit2DDistribution } from 'src/generated-sources';\nimport { decompactArray } from '@utils/compacted-array';\nimport d3 from 'd3';\nimport { fairAny } from 'dku-frontend-core';\n\nexport class DensityMap {\n    constructor(\n        public density: Float64Array,\n        public xMin: number,\n        public xMax: number,\n        public yMin: number,\n        public yMax: number,\n        public dMin: number,\n        public dMax: number,\n        public xResolution: number,\n        public yResolution: number\n    ) { }\n\n    static async createFromResult(result: Fit2DDistribution.Density) {\n        const density: Float64Array = await decompactArray(result.data);\n        const { xMin, xMax, yMin, yMax } = result;\n        const [xResolution, yResolution] = result.data.shape;\n        return new DensityMap(density, xMin, xMax, yMin, yMax, result.data.vmin, result.data.vmax, xResolution, yResolution);\n    }\n\n    // Convert a point in data domain -> pixel in density map\n    // Note: \"density map pixels\" are not the same thing as \"screen pixels\"\n    //       (density map -> screen mapping is handled by echarts)\n    dataPointToPixel([x, y]: [number, number]): [number, number] {\n        return [\n            Math.floor(this.xResolution * (x - this.xMin) / (this.xMax - this.xMin)),\n            Math.floor(this.yResolution * (y - this.yMin) / (this.yMax - this.yMin))\n        ];\n    }\n\n    valueAtPixel([x, y]: [number, number]): number {\n        x = Math.max(0, Math.min(x, this.xResolution - 1));\n        y = Math.max(0, Math.min(y, this.yResolution - 1));\n        return this.density[x * this.yResolution + y];\n    }\n\n    valueAtDataPoint([x, y]: [number, number]): number {\n        return this.valueAtPixel(this.dataPointToPixel([x, y]));\n    }\n\n    createDensityImage() {\n        const canvas = document.createElement('canvas');\n        canvas.width = this.xResolution;\n        canvas.height = this.yResolution;\n        const ctx = canvas.getContext('2d')!;\n\n        // Define a color mapping\n        const colors = ['#ffffff', '#1cc8fb', '#e5ff3a', '#ffc42f', '#fe5924', '#d11d1d', '#841211'];\n        const delta = this.dMax / (colors.length - 1);\n        const colorMap = d3.scale.linear<fairAny>()\n            .domain(d3.range(colors.length).map(i => delta * i))\n            .range(colors);\n\n        // Map values to colors\n        const imageData = ctx.createImageData(this.xResolution, this.yResolution);\n        const rawData = imageData.data;\n        for (let ix = 0; ix < this.xResolution; ix++) {\n            for (let iy = 0; iy < this.yResolution; iy++) {\n                const srcIdx = ix * this.yResolution + iy;\n\n                const dstIdx = (this.yResolution - iy - 1) * this.xResolution + ix;\n                const value = this.density[srcIdx];\n                const color = d3.rgb(colorMap(value));\n\n                rawData[dstIdx * 4] = color.r;\n                rawData[dstIdx * 4 + 1] = color.g;\n                rawData[dstIdx * 4 + 2] = color.b;\n                rawData[dstIdx * 4 + 3] = 255;\n\n            }\n        }\n        ctx.putImageData(imageData, 0, 0);\n\n        return canvas;\n    }\n}\n\n","<div class=\"mouse-value\">\n    <span [hidden]=\"mouseValue == null\">\n        <b>Density:</b>\n        {{ mouseValue | smarterNumber }}\n    </span>\n    &nbsp;\n</div>\n\n<div\n    inViewport\n    [inViewportOptions]=\"{ threshold: [0] }\"\n    (inViewportAction)=\"onIntersection($event)\"\n    class=\"chart-wrapper\"\n>\n    <div\n        echarts\n        class=\"chart\"\n        *ngIf=\"chartData$ | async as chartData\"\n        [options]=\"chartData.chartOptions\"\n        [class.chart--fixed-height-tall]=\"hasFixedHeight\"\n        (chartInit)=\"onChartInitialized($event)\"\n        (chartMouseMove)=\"onMouseOver($event)\"\n        (chartMouseOver)=\"onMouseOver($event)\"\n        (chartMouseOut)=\"onMouseOut()\"\n    >\n    </div>\n</div>","import { Component, Input, Output, EventEmitter, OnDestroy, ChangeDetectionStrategy } from '@angular/core';\nimport { Fit2DDistributionCard } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { untilDestroyed, UntilDestroy } from '@ngneat/until-destroy';\nimport { ObservableInput } from 'observable-input';\nimport { Observable, from, Subject, of, combineLatest } from 'rxjs';\nimport { map, shareReplay, first, switchMap, debounceTime } from 'rxjs/operators';\nimport { lazyRenderingValve } from 'dku-frontend-core';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { DensityMap } from '@shared/graphics/density-map';\nimport { WindowService } from 'dku-frontend-core';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\n\n@UntilDestroy()\n@Component({\n    selector: 'fit-2d-distribution-card-body',\n    templateUrl: './fit-2d-distribution-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './fit-2d-distribution-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class Fit2DDistributionCardBodyComponent implements OnDestroy {\n    @Input() @ObservableInput() results: Observable<Fit2DDistributionCard.Fit2DDistributionCardResult>;\n    @Input() @ObservableInput() params: Observable<Fit2DDistributionCard>;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartData$: Observable<{\n        results: Fit2DDistributionCard.Fit2DDistributionCardResult,\n        densityMap: DensityMap,\n        chartOptions: EChartsOption\n    } | null>;\n\n    chart: any;\n    mousePosition: any;\n    mouseValue?: number;\n    isVisible$ = new Subject<boolean>();\n\n    constructor(private windowService: WindowService) {\n        const debouncedVisibility$ = this.isVisible$.pipe(debounceTime(300));\n        const resultsAndParams$ = combineLatest([this.results, this.params]);\n        this.chartData$ = lazyRenderingValve(resultsAndParams$, debouncedVisibility$, this.windowService.resize$)\n            .pipe(\n                switchMap(state => {\n                    if (!state) {\n                        return of(null);\n                    }\n                    const [results, params] = state;\n                    return from(DensityMap.createFromResult(results.result.density))\n                        .pipe(map(densityMap => ({\n                            results, densityMap,\n                            chartOptions: this.buildChartOptions(params, densityMap)\n                        })));\n                }),\n                shareReplay(1),\n                untilDestroyed(this)\n            );\n    }\n\n    onIntersection({ visible }: { visible: boolean }) {\n        this.isVisible$.next(visible);\n    }\n\n    onMouseOver(event: any) {\n        // Convert \"screen pixels\" to \"point in data domain\" using echart itself\n        this.mousePosition = this.chart.convertFromPixel('grid', [event.event.offsetX, event.event.offsetY]);\n\n        this.chartData$.pipe(first()).subscribe(chartData => {\n            if (chartData) {\n                this.mouseValue = chartData!.densityMap.valueAtDataPoint(this.mousePosition);\n            }\n        });\n    }\n\n    onMouseOut() {\n        this.mouseValue = undefined;\n    }\n\n    onChartInitialized(chart: any) {\n        this.chart = chart;\n    }\n\n    buildChartOptions(params: Fit2DDistributionCard, densityMap: DensityMap): EChartsOption {\n        const { xMin, xMax, yMin, yMax } = densityMap;\n        const canvas = densityMap.createDensityImage();\n\n        return {\n            tooltip: {\n                showContent: false,\n                axisPointer: { type: 'cross' },\n            },\n            backgroundColor: '#FFFFFF',\n            animation: false,\n            grid: { left: 0, top: 0, right: 0, bottom: 0, containLabel: true },\n            xAxis: {\n                type: 'value',\n                min: xMin,\n                max: xMax,\n                zlevel: 1,\n                splitLine: { show: false },\n                axisLine: {\n                    lineStyle: {\n                        color: '#333',\n                    },\n                },\n                axisLabel: {\n                    color: 'black',\n                    formatter: (value: number) => value === xMin || value === xMax ? '' : value + ''\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return params.xColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n            yAxis: {\n                type: 'value',\n                min: yMin,\n                max: yMax,\n                zlevel: 1,\n                splitLine: { show: false },\n                axisLine: {\n                    lineStyle: {\n                        color: '#333',\n                    },\n                },\n                axisLabel: {\n                    color: 'black',\n                    formatter: (value: number) => value === yMin || value === yMax ? '' : value + ''\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return params.yColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n            series: [{\n                dimensions: [{ type: 'number' }, { type: 'number' }],\n                type: 'custom',\n                data: [{}],\n                renderItem: ((params: any, api: any) => {\n                    const origin = api.coord([xMin, yMin]);\n                    const scale = api.size([xMax - xMin, yMax - yMin]);\n\n                    return {\n                        type: 'image',\n                        style: {\n                            image: canvas,\n                            x: origin[0],\n                            y: origin[1],\n                            width: scale[0],\n                            // Negative height: draw image drawn upside down\n                            height: -scale[1]\n                        }\n                    };\n                })\n            } as SeriesOption]\n        };\n    }\n\n    ngOnDestroy() { }\n}\n\n","<ng-container *ngIf=\"groupCollapseStates$ | async as groupCollapseStates\">\n    <div \n        class=\"group\"\n        [qa]=\"{'eda-group': {'name': results.groups[groupIndex] | filterName}}\"\n        *ngFor=\"let groupResult of results.results; let groupIndex = index; trackBy: trackByIndex\"\n    >\n        <div class=\"title\">\n            <div class=\"label\" (click)=\"toggleGroup(results.groups[groupIndex], !groupCollapseStates[groupIndex])\">\n                <i *ngIf=\"showCollapsingControls\" [class.icon-chevron-down]=\"!groupCollapseStates[groupIndex]\"\n                    [class.icon-chevron-right]=\"groupCollapseStates[groupIndex]\"></i>\n                {{ results.groups[groupIndex] | filterName }}\n            </div>\n            <div class=\"pvalue pull-right\" *ngIf=\"getAsSingleTestCard() as singleTestCard\">\n                <colored-pvalue\n                    [showLabel]=\"true\"\n                    [pvalue]=\"groupResult.pvalue\"\n                    [significanceLevel]=\"1 - singleTestCard.confidenceLevel\"\n                ></colored-pvalue>\n            </div>\n            <div class=\"menu\" *ngIf=\"!readOnly && extendedActions\">\n                <button class=\"btn btn--icon btn--secondary menu-button pull-right\"\n                    [matMenuTriggerFor]=\"contextualMenu\"\n                    [qa]=\"'eda-group-menu-trigger'\">\n                    <i class=\"icon-dku-ellipsis-vertical\"></i>\n                </button>\n\n                <mat-menu #contextualMenu>\n                    <ng-template matMenuContent>\n                        <button mat-menu-item (click)=\"exportGroup(groupIndex, CardActionType.ADD)\"\n                            [wt1Click]=\"'worksheets_duplicate-grouped-card'\"\n                            [qa]=\"{'eda-group-menu-item': {action: 'duplicate'}}\">\n                            Duplicate as new card\n                        </button>\n                        <button mat-menu-item (click)=\"exportGroup(groupIndex, CardActionType.DEBUG)\"\n                            [qa]=\"{'eda-group-menu-item': {action: 'view-json'}}\">\n                            View JSON…\n                        </button>\n                        <button mat-menu-item (click)=\"exportGroup(groupIndex, CardActionType.PUBLISH)\"\n                            [wt1Click]=\"'worksheets_publish-grouped-card'\"\n                            [qa]=\"{'eda-group-menu-item': {action: 'publish'}}\">\n                            Publish…\n                        </button>\n                    </ng-template>\n                </mat-menu>\n            </div>\n        </div>\n        <div [@fadeInOut]=\"groupCollapseStates[groupIndex] ? 'closed': 'opened'\">\n            <card-body *ngIf=\"!groupCollapseStates[groupIndex] | delayWhenFalse\" \n                [params]=\"params\"\n                [results]=\"groupResult\"\n                [renderingMode]=\"renderingMode\"\n                [readOnly]=\"readOnly\"\n                [hasFixedHeight]=\"true\"\n                [extendedActions]=\"extendedActions\" \n                class=\"body\" \n                (action)=\"handleAction($event, groupIndex)\">\n            </card-body>\n        </div>\n    </div>\n</ng-container>","import { Component, Input, Output, EventEmitter, ChangeDetectionStrategy, OnChanges, SimpleChanges } from '@angular/core';\nimport { GroupedCompiledCardWrapper, Card, Filter, isTZTest1SampCard, isSignTest1SampCard, isShapiroNormalityTestCard, isAbstract2SampTestCard, isOneWayANOVACard, isMoodTestNSampCard, isChi2IndTestCard } from 'src/generated-sources';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { combineLatest, Observable, ReplaySubject, EMPTY } from 'rxjs';\nimport { switchMap } from 'rxjs/operators';\nimport { fadeInOutHeight } from '@shared/animations/fade-in-out';\nimport { CollapsibleGroup, CollapsingService, UpdatableCollapsingService } from '@features/eda/collapsing.service';\nimport { noFilterIfAll } from '@features/eda/card-utils';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\n\n@Component({\n    selector: 'grouped-card-body',\n    templateUrl: './grouped-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/menu-button.less',\n        './grouped-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    animations: [fadeInOutHeight]\n})\nexport class GroupedCardBodyComponent implements OnChanges {\n    @Input() results: GroupedCompiledCardWrapper.GroupedCardResult;\n    @Input() params: Card;\n    @Input() renderingMode: CardBodyRenderingMode;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n    private params$ = new ReplaySubject<Card>(1);\n    private results$ = new ReplaySubject<GroupedCompiledCardWrapper.GroupedCardResult>(1);\n    groupCollapseStates$: Observable<boolean[]>;\n    CardActionType = CardActionType;\n\n    showCollapsingControls: boolean;\n\n    constructor(private collapsingService: CollapsingService) {\n        this.groupCollapseStates$ = combineLatest([this.params$, this.results$]).pipe(\n            switchMap(([params, results]) => {\n                if (results.type === 'groups') {\n                    return combineLatest(\n                        results.groups\n                            .map(group => new CollapsibleGroup(params.id, group))\n                            .map(collapsible => this.collapsingService.watchIsCollapsed(collapsible))\n                    );\n                }\n                return EMPTY;\n            })\n        );\n        this.showCollapsingControls = this.collapsingService instanceof UpdatableCollapsingService;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.params$.next(this.params);\n        }\n        if (changes.results) {\n            this.results$.next(this.results);\n        }\n    }\n\n    toggleGroup(group: Filter, newIsCollapsed: boolean) {\n        this.collapsingService.setIsCollapsed(\n            new CollapsibleGroup(this.params.id, group),\n            newIsCollapsed\n        );\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n\n    // Export a part of this header as another header card\n    // If a group index is given: create a new filtered header card\n    // If no group index is given: create a new splitted header card\n    exportGroup(groupIndex: number, type: CardActionType.ADD | CardActionType.DEBUG | CardActionType.PUBLISH) {\n        this.action.emit({\n            type, card: {\n                ...this.params,\n                splitBy: null,\n                filter: noFilterIfAll(this.results.groups[groupIndex])\n            }\n        });\n    }\n\n    handleAction(action: CardAction, groupIndex: number) {\n        if (action.type === CardActionType.HIGHLIGHT) {\n            if (action.filter) {\n                const groupFilter = {\n                    ...this.results.groups[groupIndex],\n                    name: this.params.splitBy!.groupingColumn.name\n                        + ': ' + filterName(this.results.groups[groupIndex])\n                };\n                action = {\n                    ...action, filter: noFilterIfAll({\n                        type: 'and',\n                        filters: [action.filter, groupFilter]\n                    })\n                };\n            }\n            this.action.emit(action);\n        }\n    }\n\n    getAsSingleTestCard() {\n        if (isTZTest1SampCard(this.params) || isSignTest1SampCard(this.params) || isShapiroNormalityTestCard(this.params) || isAbstract2SampTestCard(this.params) || isOneWayANOVACard(this.params) || isMoodTestNSampCard(this.params) || isChi2IndTestCard(this.params)) {\n            return this.params;\n        }\n\n        return;\n    }\n}\n","<div class=\"vertical-flex\" *ngIf=\"columnCollapseStates$ | async as columnCollapseStates\"\n    cdkDropList [cdkDropListDisabled]=\"readOnly\" cdkDropListOrientation=\"vertical\"\n    (cdkDropListDropped)=\"dropRow($event)\">\n    <ng-container *ngIf=\"groupCollapseStates$ | async as groupCollapseStates\">\n        <ng-container *ngFor=\"let columnParams of params.cards; let columnIndex = index; trackBy: trackByCardId\">\n            <div\n                cdkDrag\n                class=\"column-block vertical-flex\" [class.column-block--collapsed]=\"columnCollapseStates[columnIndex]\"\n                [qa]=\"{\n                    'eda-column-card': {\n                        'id': columnParams.id,\n                        'column-name': columnParams.column.name\n                    }\n                }\">\n                <ng-container *ngIf=\"!columnCollapseStates[columnIndex]; else dragcollapsed\">\n                    <div class=\"drag-drop-placeholder\" *cdkDragPlaceholder></div>\n                </ng-container>\n                <ng-template #dragcollapsed>\n                    <div class=\"drag-drop-placeholder drag-drop-placeholder--collapsed class.column-block--collapsed\" *cdkDragPlaceholder></div>\n                </ng-template>\n                <div class=\"column-block__title\" cdkDragHandle>\n                    <card-menu class=\"pull-right\" [params]=\"columnParams\" [readOnly]=\"readOnly\" [deletable]=\"true\"\n                        [extendedActions]=\"extendedActions\" (action)=\"handleColumnCardAction($event, columnIndex)\">\n                    </card-menu>\n                    <column-title (click)=\"toggleColumn(columnParams.column, !columnCollapseStates[columnIndex])\"\n                        [column]=\"columnParams.column\" [response]=\"isBivariateHeaderCard(params) ? params['yColumn'] : ''\"\n                        [collapsed]=\"columnCollapseStates[columnIndex]\" [splitBy]=\"params.splitBy\"\n                        [showCollapsingControls]=\"showCollapsingControls\"></column-title>\n                </div>\n\n                <lazy-render [visibleTemplate]=\"visible\" [trackData]=\"columnParams\"\n                    [passThrough]=\"params.cards.length < 10\">\n                    <ng-template #visible>\n\n                        <div [@fadeInOut]=\"columnCollapseStates[columnIndex] ? 'closed' : 'opened'\">\n                            <div class=\"horizontal-flex\" *ngIf=\"!columnCollapseStates[columnIndex] | delayWhenFalse\">\n                                <div class=\"group-block\"\n                                    [class.group-block--collapsed]=\"groupCollapseStates[groupIndex]\"\n                                    [class.group-block--column-wide]=\"params.type === 'bivariate_header'\"\n                                    *ngFor=\"let groupResult of results.results; let groupIndex = index; trackBy: trackByIndex\"\n                                    [qa]=\"{'eda-group': {name: results.groups[groupIndex] | filterName}}\">\n                                    <div class=\"group-block__title\"\n                                        [class.group-block__title--collapsed]=\"groupCollapseStates[groupIndex]\"\n                                        (click)=\"toggleGroup(results.groups[groupIndex], !groupCollapseStates[groupIndex])\">\n                                        <div class=\"group-block__title-content\"\n                                            [class.group-block__title-content--collapsed]=\"groupCollapseStates[groupIndex]\">\n                                            <div class=\"group-block__title-content-chevron\">\n                                                <i *ngIf=\"showCollapsingControls\"\n                                                    [class.icon-chevron-right]=\"groupCollapseStates[groupIndex]\"\n                                                    [class.icon-chevron-down]=\"!groupCollapseStates[groupIndex]\"></i>\n                                            </div>\n\n                                            <div class=\"group-block__title-content-label\">\n                                                {{ results.groups[groupIndex] | filterName }}\n                                            </div>\n\n                                            <ng-container *ngIf=\"!groupCollapseStates[groupIndex]\">\n                                                <button class=\"btn btn--icon btn--secondary menu-button pull-right\"\n                                                    [matMenuTriggerFor]=\"contextualMenu\"\n                                                    *ngIf=\"!readOnly && extendedActions\"\n                                                    (click.stop)=\"false\">\n                                                    <i class=\"icon-dku-ellipsis-vertical\"></i>\n                                                </button>\n\n                                                <mat-menu #contextualMenu>\n                                                    <ng-template matMenuContent>\n                                                        <button mat-menu-item\n                                                            (click)=\"exportGroup(columnIndex, groupIndex, CardActionType.ADD)\"\n                                                            [wt1Click]=\"'worksheets_duplicate-grouped-header-card'\">\n                                                            Duplicate as new card\n                                                        </button>\n                                                        <button mat-menu-item\n                                                            (click)=\"exportGroup(columnIndex, groupIndex, CardActionType.DEBUG)\">\n                                                            View JSON…\n                                                        </button>\n                                                        <button mat-menu-item\n                                                            (click)=\"exportGroup(columnIndex, groupIndex, CardActionType.PUBLISH)\"\n                                                            [wt1Click]=\"'worksheets_publish-grouped-header-card'\">\n                                                            Publish…\n                                                        </button>\n                                                    </ng-template>\n                                                </mat-menu>\n                                            </ng-container>\n                                        </div>\n                                    </div>\n                                    <column-card-body *ngIf=\"!groupCollapseStates[groupIndex]\" class=\"card--column-card\"\n                                        [params]=\"columnParams\" [headerParams]=\"params\"\n                                        [results]=\"groupResult.results[columnIndex]\" [readOnly]=\"readOnly\"\n                                        [extendedActions]=\"extendedActions\" (headerAction)=\"action.emit($event)\"\n                                        (action)=\"handleColumnCardAction($event, columnIndex, groupIndex)\">\n                                    </column-card-body>\n                                </div>\n                            </div>\n                        </div>\n                    </ng-template>\n                </lazy-render>\n            </div>\n\n        </ng-container>\n            <div *ngIf=\"!readOnly\" class=\"card--placeholder\" (click)=\"configureAnalysis()\">\n                + Add another variable\n            </div>\n    </ng-container>\n</div>","import { Component, Input, EventEmitter, Output, ChangeDetectionStrategy, OnChanges, SimpleChanges, ViewContainerRef } from '@angular/core';\nimport { ColumnCard, GroupedCompiledCardWrapper, AbstractHeaderCard, Card, Filter, SplitBySpec, Variable, isBivariateHeaderCard } from 'src/generated-sources';\nimport { CardActionType, CardAction, UpdateCardAction, AddCardAction, DebugCardAction, PublishCardAction } from '@features/eda/worksheet/cards/events';\nimport { ReplaySubject, Observable, combineLatest, EMPTY } from 'rxjs';\nimport { switchMap } from 'rxjs/operators';\nimport { fadeInOutHeight } from '@shared/animations/fade-in-out';\nimport { CollapsingService, CollapsibleGroup, CollapsibleColumnCard, UpdatableCollapsingService } from '@features/eda/collapsing.service';\nimport { noFilterIfAll } from '@features/eda/card-utils';\nimport { EditCardModalComponent } from '@features/eda/worksheet/card-wizard/edit-card-modal/edit-card-modal.component';\nimport { ModalsService, ModalShape } from '@shared/modals/modals.service';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { CdkDragDrop } from '@angular/cdk/drag-drop';\nimport { WT1Service } from '@core/dataiku-wt1/wt1.service';\n\n\n@Component({\n    selector: 'grouped-header-card-body',\n    templateUrl: './grouped-header-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/menu-button.less',\n        './grouped-header-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n    animations: [fadeInOutHeight]\n})\nexport class GroupedHeaderCardBodyComponent implements OnChanges {\n    @Input() results: GroupedCompiledCardWrapper.GroupedCardResult;\n    @Input() params: AbstractHeaderCard;\n    @Input() readOnly: boolean;\n    @Input() extendedActions: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n    CardActionType = CardActionType;\n\n    showCollapsingControls: boolean;\n    isBivariateHeaderCard = isBivariateHeaderCard;\n\n    private params$ = new ReplaySubject<AbstractHeaderCard>(1);\n    private results$ = new ReplaySubject<GroupedCompiledCardWrapper.GroupedCardResult>(1);\n    groupCollapseStates$: Observable<boolean[]>;\n    columnCollapseStates$: Observable<boolean[]>;\n\n    constructor(\n        public collapsingService: CollapsingService,\n        public modalsService: ModalsService,\n        private viewContainerRef: ViewContainerRef,\n        private wt1Service: WT1Service\n    ) {\n        this.groupCollapseStates$ = combineLatest([this.params$, this.results$]).pipe(\n            switchMap(([params, results]) => {\n                if (results.type === 'groups') {\n                    return combineLatest(\n                        results.groups\n                            .map(group => new CollapsibleGroup(params.id, group))\n                            .map(collapsible => this.collapsingService.watchIsCollapsed(collapsible))\n                    );\n                }\n                return EMPTY;\n            })\n        );\n        this.columnCollapseStates$ = this.params$.pipe(\n            switchMap(params => {\n                return combineLatest(\n                    params.xColumns\n                        .map(column => new CollapsibleColumnCard(params.id, column))\n                        .map(collapsible => this.collapsingService.watchIsCollapsed(collapsible))\n                );\n            })\n        );\n        this.showCollapsingControls = this.collapsingService instanceof UpdatableCollapsingService;\n    }\n\n    toggleColumn(column: Variable, newIsCollapsed: boolean) {\n        this.collapsingService.setIsCollapsed(\n            new CollapsibleColumnCard(this.params.id, column),\n            newIsCollapsed\n        );\n    }\n\n    toggleGroup(group: Filter, newIsCollapsed: boolean) {\n        this.collapsingService.setIsCollapsed(\n            new CollapsibleGroup(this.params.id, group),\n            newIsCollapsed\n        );\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.params) {\n            this.params$.next(this.params);\n        }\n        if (changes.results) {\n            this.results$.next(this.results);\n        }\n    }\n\n    handleColumnCardUpdate(action: UpdateCardAction, columnIndex: number) {\n        if (action.newParams.type === 'column_card') {\n            const newParams = {\n                ...this.params,\n                cards: [...this.params.cards!],\n                xColumns: [...this.params.xColumns!]\n            };\n            newParams.cards[columnIndex] = action.newParams;\n            newParams.xColumns[columnIndex] = action.newParams.column;\n            this.action.emit({ type: CardActionType.UPDATE, newParams });\n        }\n    }\n\n    handleColumnCardDelete(columnIndex: number) {\n        this.action.emit({\n            type: CardActionType.UPDATE,\n            newParams: {\n                ...this.params,\n                // cards are fixed up by the backend\n                xColumns: this.params.xColumns.filter((_, xColumnIndex) => xColumnIndex !== columnIndex)\n            }\n        });\n    }\n\n    handleColumnCardExport(action: AddCardAction | DebugCardAction | PublishCardAction,\n        columnIndex: number, groupIndex?: number) {\n        let exportedCard;\n        if (action.card.type === 'column_card') {\n            exportedCard = this.convertToHeaderCard(action.card);\n        } else {\n            // Export a card *within* a column card\n            exportedCard = action.card;\n        }\n\n        let filter: Filter | null = null;\n        let splitBy: SplitBySpec | null | undefined = null;\n\n        if (groupIndex != null) {\n            // Export is coming from a group: transform it into a filter\n            const groupFilter = this.results.groups[groupIndex];\n            filter = {\n                ...groupFilter,\n                name: this.params.splitBy!.groupingColumn.name + ': ' + filterName(groupFilter)\n            };\n        } else {\n            // Export is not coming from a group: propagate the 'splitBy' to that the export stays grouped\n            splitBy = this.params.splitBy;\n        }\n\n        exportedCard = { ...exportedCard, splitBy, filter: noFilterIfAll(filter) };\n        this.action.emit({ type: action.type, card: exportedCard });\n    }\n\n    handleColumnCardAction(action: CardAction, columnIndex: number, groupIndex?: number) {\n        switch (action.type) {\n            case CardActionType.UPDATE:\n                this.handleColumnCardUpdate(action, columnIndex);\n                break;\n            case CardActionType.DELETE:\n                this.handleColumnCardDelete(columnIndex);\n                break;\n            case CardActionType.ADD:\n            case CardActionType.DEBUG:\n            case CardActionType.PUBLISH:\n                this.handleColumnCardExport(action, columnIndex, groupIndex);\n                break;\n            case CardActionType.HIGHLIGHT:\n                if (action.filter && groupIndex != null) {\n                    const groupFilter = {\n                        ...this.results.groups[groupIndex],\n                        name: this.params.splitBy!.groupingColumn.name\n                            + ': ' + filterName(this.results.groups[groupIndex])\n                    };\n                    action = {\n                        ...action,\n                        filter: noFilterIfAll({\n                            type: 'and',\n                            filters: [action.filter, groupFilter]\n                        })\n                    };\n                }\n                this.action.emit(action);\n                break;\n        }\n    }\n\n    // We don't want to export standalone column cards: it must converted into a header card first\n    convertToHeaderCard(columnCard: ColumnCard): AbstractHeaderCard {\n        return {\n            ...this.params,\n            xColumns: [columnCard.column],\n            cards: [{ ...columnCard }],\n            filter: null,\n            splitBy: null\n        };\n    }\n\n    // Export a part of this header as another header card\n    // If a group index is given: create a new filtered header card\n    // If no group index is given: create a new splitted header card\n    exportGroup(columnIndex: number, groupIndex: number, type: CardActionType.ADD | CardActionType.DEBUG | CardActionType.PUBLISH) {\n        this.action.emit({\n            type, card: {\n                ...this.convertToHeaderCard(this.params.cards[columnIndex] as ColumnCard),\n                filter: noFilterIfAll(this.results.groups[groupIndex])\n            }\n        });\n    }\n\n    trackByIndex(index: number) {\n        return index;\n    }\n\n    trackByCardId(index: number, card: Card) {\n        return card.id;\n    }\n\n    configureAnalysis() {\n        this.modalsService.open(EditCardModalComponent,\n            {\n                params: this.params\n            },\n            ModalShape.NONE,\n            this.viewContainerRef\n        ).then(({ card }) => {\n            this.action.emit({ type: CardActionType.UPDATE, newParams: card });\n        }, () => { });\n    }\n\n    dropRow(event: CdkDragDrop<string[]>) {\n        this.action.emit({\n            type: CardActionType.REORDER_HEADER_CARD,\n            cardId: this.params.id,\n            previousIndex: event.previousIndex,\n            currentIndex: event.currentIndex\n        });\n        this.wt1Service.event('statistics-drag-drop-header-card-column', {});\n    }\n}\n","import { Pipe, PipeTransform } from '@angular/core';\nimport { Distribution } from 'src/generated-sources';\nimport { CapitalizePipe } from '@shared/pipes/capitalize.pipe';\n\nconst capitalizePipe = new CapitalizePipe();\n\n@Pipe({\n    name: 'distributionName',\n    pure: true\n})\nexport class DistributionNamePipe implements PipeTransform {\n    transform(value: Distribution): string {\n        switch (value.type) {\n            case 'beta':\n            case 'binomial':\n            case 'pareto':\n            case 'poisson':\n            case 'triangular':\n            case 'weibull':\n            case 'exponential':\n            case 'laplace':\n            case 'normal':\n                return capitalizePipe.transform(value.type);\n            case 'lognormal':\n                return 'Log-normal';\n            case 'normal_mixture':\n                return `Normal mixture`;\n        }\n    }\n}\n","<table class=\"fit-table\">\n    <tbody>\n        <tr>\n            <th\n                class=\"fit-table__head\"\n                width=\"50%\"\n            >\n                Probability density function\n            </th>\n            <th\n                class=\"fit-table__head\"\n                width=\"50%\"\n            >\n                Q-Q plot\n            </th>\n        </tr>\n        <tr>\n            <td class=\"fit-table__cell\">\n                <lazy-echart class=\"chart\"\n                    [options]=\"densityChartOptions\"\n                ></lazy-echart>\n            </td>\n            <td class=\"fit-table__cell\">\n                <lazy-echart class=\"chart\"\n                    [options]=\"qqPlotOptions\"\n                ></lazy-echart>\n            </td>\n        </tr>\n    </tbody>\n</table>\n\n<table class=\"fit-table\">\n    <tbody>\n        <tr>\n            <th class=\"fit-table__head\">Distribution</th>\n            <th\n                class=\"fit-table__head\"\n                colspan=\"2\"\n            >\n                Goodness of fit\n            </th>\n            <th class=\"fit-table__head\">Estimated parameters</th>\n        </tr>\n        <tr *ngFor=\"let fitResult of results.distributions; let distributionIndex = index;\">\n            <th class=\"fit-table__head\">\n                <!-- TODO: avoid inline style -->\n                <span [ngStyle]=\"{color: colorsService.getColorFromIndex(distributionIndex), 'font-size':'30px'}\">&bull;</span>\n                {{ fitResult.distribution | distributionName }}\n            </th>\n            <td class=\"fit-table__cell\">\n                <table class=\"stats-table\">\n                    <tbody\n                        class=\"stats-table__body\"\n                        *ngIf=\"fitResult.test.ks\"\n                    >\n                        <tr class=\"stats-table__row\">\n                            <th\n                                class=\"stats-table__title\"\n                                colspan=\"2\"\n                            >\n                                Kolmogorov–Smirnov test\n                            </th>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">statistic</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.test.ks.statistic | smarterNumber }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">𝘱-value</th>\n                            <td class=\"stats-table__cell\">\n                                <colored-pvalue\n                                    [pvalue]=\"fitResult.test.ks.pvalue\"\n                                    [significanceLevel]=\"1 - params.confidenceLevel\"\n                                ></colored-pvalue>\n                            </td>\n                        </tr>\n                    </tbody>\n                </table>\n            </td>\n            <td class=\"fit-table__cell\">\n                <table\n                    class=\"stats-table\"\n                    *ngIf=\"fitResult.test.ll\"\n                >\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th\n                                class=\"stats-table__title\"\n                                colspan=\"2\"\n                            >\n                                Likelihood metrics\n                            </th>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Log-likelihood</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.test.ll.ll }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">AIC</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.test.ll.aic }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">AICc</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.test.ll.aicc }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">BIC</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.test.ll.bic }}</td>\n                        </tr>\n                    </tbody>\n                </table>\n            </td>\n            <td class=\"fit-table__cell\">\n                <table class=\"stats-table\">\n                    <tbody>\n                        <tr class=\"stats-table__row\">\n                            <th\n                                class=\"stats-table__title\"\n                                colspan=\"2\"\n                            >\n                                {{ fitResult.distribution | distributionName }} parameters\n                            </th>\n                        </tr>\n                        <ng-container [ngSwitch]=\"fitResult.fit.type\">\n                            <ng-container *ngSwitchCase=\"'normal'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Mean</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.mean | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Standard deviation</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.std | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'beta'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Alpha</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.alpha | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Beta</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.beta | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Lower</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.lower | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Upper</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.upper | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'triangular'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">a</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.a | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">b</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.b | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">c</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.c | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'exponential'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Rate</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.rate | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'lognormal'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Logmean</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.logmean | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Logstd</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.logstd | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'weibull'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Shape</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.shape | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Scale</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.scale | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'pareto'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Shape</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.shape | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Scale</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.scale | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'laplace'\">\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">Mu</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.mu | smarterNumber }}</td>\n                                </tr>\n                                <tr class=\"stats-table__row\">\n                                    <th class=\"stats-table__head\">b</th>\n                                    <td class=\"stats-table__cell\">{{ fitResult.fit.b | smarterNumber }}</td>\n                                </tr>\n                            </ng-container>\n\n                            <ng-container *ngSwitchCase=\"'normal_mixture'\">\n                                <ng-container *ngFor=\"let component of fitResult.fit.components; let componentIndex = index;\">\n                                    <tr class=\"stats-table__row\">\n                                        <th\n                                            class=\"stats-table__title\"\n                                            colspan=\"2\"\n                                        >\n                                            Component {{ componentIndex +1 }}\n                                        </th>\n                                    </tr>\n                                    <tr class=\"stats-table__row\">\n                                        <th class=\"stats-table__head\">Mean</th>\n                                        <td class=\"stats-table__cell\">{{ component.mean | smarterNumber }}</td>\n                                    </tr>\n                                    <tr class=\"stats-table__row\">\n                                        <th class=\"stats-table__head\">Standard deviation</th>\n                                        <td class=\"stats-table__cell\">{{ component.std | smarterNumber }}</td>\n                                    </tr>\n                                    <tr class=\"stats-table__row\">\n                                        <th class=\"stats-table__head\">Weight</th>\n                                        <td class=\"stats-table__cell\">{{ component.weight | smarterNumber }}</td>\n                                    </tr>\n                                </ng-container>\n                            </ng-container>\n\n                            <ng-container *ngSwitchDefault>\n                                <tr class=\"stats-table__row\">\n                                    <td class=\"stats-table__cell\">NOT IMPLEMENTED</td>\n                                </tr>\n                            </ng-container>\n                        </ng-container>\n                    </tbody>\n                </table>\n            </td>\n        </tr>\n    </tbody>\n</table>\n","import { Component, Input, EventEmitter, Output, SimpleChanges, ChangeDetectionStrategy, OnChanges } from '@angular/core';\nimport { FitDistributionCard, IntervalFilter } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport _ from 'lodash';\nimport d3 from 'd3';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { FilterNamePipe } from '@features/eda/pipes/filter-name.pipe';\nimport { encodeHTML } from 'entities';\nimport { DistributionNamePipe } from '@features/eda/pipes/distribution-name.pipe';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\nconst distributionNamePipe = new DistributionNamePipe();\n\n@Component({\n    selector: 'fit-distribution-card-body',\n    templateUrl: './fit-distribution-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/fit-table.less',\n        '../../../../shared-styles/chart.less',\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        './fit-distribution-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FitDistributionCardBodyComponent implements OnChanges {\n    @Input() params: FitDistributionCard;\n    @Input() results: FitDistributionCard.FitDistributionCardResult;\n    @Output() action = new EventEmitter<CardAction>();\n\n    densityChartOptions: EChartsOption;\n    qqPlotOptions: EChartsOption;\n\n    constructor(public colorsService: ColorsService) { }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.buildDensityCharts();\n            this.buildQQPlots();\n        }\n    }\n\n    buildQQPlots() {\n        const series: SeriesOption[] = [];\n        let maxVal: number | undefined;\n        let minVal: number | undefined;\n        let minAbsDiff: number | undefined;\n        let maxAbsDiff: number | undefined;\n\n        type QQDataPoint = [number, number, number];\n\n        for (let i = 0; i < this.results.distributions.length; i++) {\n            const fitResult = this.results.distributions[i];\n            const qqData: QQDataPoint[] = fitResult.plot.qq.theoretical\n                .map((theoretical, idx) => {\n                    const empirical = fitResult.plot.qq.empirical[idx];\n                    const absDiff = Math.abs(empirical - theoretical);\n                    minVal = minVal === undefined ? Math.min(empirical, theoretical) : Math.min(empirical, theoretical, minVal);\n                    maxVal = maxVal === undefined ? Math.max(empirical, theoretical) : Math.max(empirical, theoretical, maxVal);\n                    minAbsDiff = minAbsDiff !== undefined ? Math.min(minAbsDiff, absDiff) : absDiff;\n                    maxAbsDiff = maxAbsDiff !== undefined ? Math.max(maxAbsDiff, absDiff) : absDiff;\n                    return [theoretical, fitResult.plot.qq.empirical[idx], absDiff];\n                });\n\n\n            const sizeScale = d3.scale.linear()\n                .domain([minAbsDiff!, maxAbsDiff!]).range([3, 7]);\n\n            series.push({\n                symbolSize: (data: QQDataPoint) => sizeScale(data[2]),\n                data: qqData,\n                type: 'scatter',\n                itemStyle: {\n                    color: this.colorsService.getColorFromIndex(i),\n                    opacity: 0.6\n                },\n                large: true\n            });\n        }\n\n        if(minVal != null && maxVal != null) {\n            series.push({\n                type: 'line',\n                itemStyle: {\n                    opacity: 0\n                },\n                lineStyle: {\n                    color: '#DDDDDD'\n                },\n                data: [\n                    [minVal, minVal],\n                    [maxVal, maxVal]\n                ]\n            });\n        }\n\n        this.qqPlotOptions = {\n            tooltip: {\n                trigger: 'none',\n                axisPointer: { type: 'cross' }\n            },\n            animation: false,\n            grid: { left: 30, top: 10, right: 0, bottom: 10, containLabel: true },\n            xAxis: {\n                name: 'Theoretical',\n                type: 'value',\n                nameLocation: 'middle',\n                nameGap: 20,\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.column.name + ' (theoretical): ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n            yAxis: {\n                name: 'Empirical',\n                type: 'value',\n                nameLocation: 'middle',\n                nameGap: 40,\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.column.name + ' (empirical): ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n            series\n        };\n    }\n\n    buildDensityCharts() {\n        // Histogram\n        const filterName = new FilterNamePipe();\n        const histogramSeriesData = [];\n        const histogramData = this.results.histogram;\n        const histogramLabels = this.results!.histogram!.bins.map(b => filterName.transform(b));\n        const totalCount = _.chain(this.results.histogram.counts).sum().value();\n        const legendData = [];\n\n        for (let i = 0; i < histogramData.bins.length; i++) {\n            const bin = histogramData.bins[i] as IntervalFilter;\n            const count = histogramData.counts[i] / (totalCount * (bin.right - bin.left));\n            histogramSeriesData.push([bin.left, bin.right, count]);\n        }\n\n        let maxDensity = _.chain(histogramSeriesData).map(2).max().value();\n        const minVal = _.chain(histogramSeriesData).map(0).min().value();\n        const maxVal = _.chain(histogramSeriesData).map(1).max().value();\n\n        // Density of distributions\n        const distributionLines: SeriesOption[] = [];\n\n        for (let i = 0; i < this.results.distributions.length; i++) {\n            const distribution = this.results.distributions[i];\n            const name = i.toString();\n            legendData.push(name);\n\n            if (!distribution.plot.pdf) {\n                continue;\n            }\n\n            const pdfPlot = distribution.plot.pdf;\n            const seriesData = pdfPlot.xvals.map((x, idx) => [x, pdfPlot.probs[idx]]);\n            maxDensity = Math.max(_.chain(seriesData).map(1).max().value(), maxDensity);\n\n            distributionLines.push({\n                name,\n                type: 'line',\n                yAxisIndex: 0,\n                data: seriesData,\n                symbol: 'none',\n                itemStyle: {\n                    color: this.colorsService.getColorFromIndex(i)\n                },\n            });\n        }\n\n        this.densityChartOptions = {\n            color: ['#3398DB'],\n            animation: false,\n            grid: { left: 0, top: 20, right: 0, bottom: 0, containLabel: true },\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: { type: 'none' }\n            },\n            legend: {\n                textStyle: {\n                    color: '#333',\n                    fontSize: 13\n                },\n                type: 'scroll',\n                padding: [0, 0, 15, 0],\n                data: legendData,\n                formatter: (index: string) => {\n                    return distributionNamePipe.transform(this.results.distributions[+index].distribution);\n                }\n            },\n            xAxis: {\n                type: 'value',\n                min: minVal,\n                max: maxVal,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: { color: '#999999' }\n            },\n            yAxis: {\n                type: 'value',\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { show: false },\n                splitLine: { show: false },\n                min: 0,\n                max: maxDensity\n            },\n            series: [\n                ...distributionLines,\n                {\n                    type: 'custom',\n                    tooltip: {\n                        formatter: (value: any) => {\n                            const dataIndex = value.dataIndex;\n                            return encodeHTML(this.params.column.name)\n                                + ': <b>'\n                                + encodeHTML(histogramLabels[dataIndex])\n                                + '</b><br>Count: <b>'\n                                + encodeHTML('' + histogramData.counts[dataIndex])\n                                + '</b>';\n                        }\n                    },\n                    renderItem: (params: any, api: any) => {\n                        const yValue = api.value(2);\n                        const start = api.coord([api.value(0), yValue]);\n                        const size = api.size([api.value(1) - api.value(0), yValue]);\n\n                        return {\n                            type: 'rect',\n                            shape: {\n                                x: start[0],\n                                y: start[1],\n                                width: size[0],\n                                height: size[1]\n                            },\n                            style: api.style(),\n                            emphasisStyle: api.style()\n                        };\n                    },\n                    itemStyle: {\n                        normal: { color: '#c4dffe', borderColor: '#c4dffe', borderWidth: 1 }\n                    },\n                    data: histogramSeriesData\n                } as SeriesOption // Cast required because renderItem() typing is not really usable\n            ]\n        };\n    }\n\n}\n","<table class=\"fit-table\">\n    <tbody>\n        <tr>\n            <th class=\"fit-table__head\">Curve</th>\n        </tr>\n        <tr>\n            <td class=\"fit-table__cell\">\n                <lazy-echart class=\"curve-chart\"\n                    [options]=\"chartOptions\"\n                ></lazy-echart>\n\n            </td>\n        </tr>\n    </tbody>\n</table>\n\n<table class=\"fit-table\">\n    <tbody>\n        <tr>\n            <th class=\"fit-table__head\">Fit type</th>\n            <th class=\"fit-table__head\">Metrics</th>\n            <th class=\"fit-table__head\">Parameters</th>\n        </tr>\n\n        <tr *ngFor=\"let fitResult of results.parametrizedCurves; let curveIndex = index;\">\n            <th class=\"fit-table__head\">\n                <span [ngStyle]=\"{color: colorsService.getColorFromIndex(curveIndex), 'font-size':'30px'}\">&bull;</span>\n                {{ fitResult.parametrized.type }}\n            </th>\n            <td class=\"fit-table__cell\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">R2</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.scores.r2 | smarterNumber }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">RMSE</th>\n                            <td class=\"stats-table__cell\">{{ fitResult.scores.rmse | smarterNumber }}</td>\n                        </tr>\n                    </tbody>\n                </table>\n            </td>\n            <td class=\"fit-table__cell\">\n                <table\n                    *ngIf=\"fitResult.parametrized.type == 'polynomial'\"\n                    class=\"stats-table\"\n                >\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Degree</th>\n                            <td class=\"stats-table__cell\" [qa]=\"'eda-fit-curve-card-degree'\">{{fitResult.parametrized.coefs.length - 1}}</td>\n                        </tr>\n                        <tr\n                            class=\"stats-table__row\"\n                            *ngFor=\"let coef of fitResult.parametrized.coefs; let coefIndex = index;\"\n                        >\n                            <th class=\"stats-table__head\">x{{coefIndex}}</th>\n                            <td class=\"stats-table__cell\">{{ coef }}</td>\n                        </tr>\n                    </tbody>\n                </table>\n            </td>\n        </tr>\n    </tbody>\n</table>\n","import { Component, Input, EventEmitter, Output, SimpleChanges, ChangeDetectionStrategy, OnChanges } from '@angular/core';\nimport { FitCurveCard } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport * as _ from 'lodash';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\nimport { zipSameSize } from '@features/eda/echarts-utils';\n\n@Component({\n    selector: 'fit-curve-card-body',\n    templateUrl: './fit-curve-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/fit-table.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/chart.less',\n        './fit-curve-card-body.component.less',\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class FitCurveCardBodyComponent implements OnChanges {\n    @Input() params: FitCurveCard;\n    @Input() results: FitCurveCard.FitCurveCardResult;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    constructor(public colorsService: ColorsService) {\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.chartOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    buildChartOptions(results: FitCurveCard.FitCurveCardResult): EChartsOption {\n        const curvesData = results.parametrizedCurves;\n\n        const minMaxReducer = (p: { min: number, max: number }, value: number) => {\n            return {\n                min: Math.min(p.min, value),\n                max: Math.max(p.max, value),\n            };\n        }\n        const minMaxMinMaxReducer = (p: { min: number, max: number }, value: { min: number, max: number }) => {\n            return {\n                min: Math.min(p.min, value.min),\n                max: Math.max(p.max, value.max),\n            };\n        }\n        const initMinMax = {\n            min: Number.MAX_VALUE,\n            max: -Number.MAX_VALUE,\n        };\n\n        const { min: minX, max: maxX } = curvesData[0].plot.x.reduce(minMaxReducer, results.xSeries.reduce(minMaxReducer, initMinMax));\n\n        const { min: minY, max: maxY } = curvesData.map(cd => cd.plot.y.reduce(minMaxReducer, initMinMax))\n            .reduce(minMaxMinMaxReducer, results.ySeries.reduce(minMaxReducer, initMinMax));\n\n        const curveSeries: SeriesOption[] = curvesData.map((cd, i) => {\n            return {\n                type: 'line',\n                data: zipSameSize(cd.plot.x, cd.plot.y),\n                symbol: 'none',\n                itemStyle: {\n                    color: this.colorsService.getColorFromIndex(i)\n                },\n            };\n        });\n\n        const scatterSeries: SeriesOption = {\n            type: 'scatter',\n            z: 0,\n            itemStyle: {\n                color: '#1e7efa',\n                opacity: 0.5\n            },\n            symbolSize: 4,\n            data: zipSameSize(results.xSeries, results.ySeries),\n            large: true\n        };\n\n        return {\n            color: ['#3398DB'],\n            animation: false,\n            tooltip: {\n                trigger: 'none',\n                axisPointer: { type: 'cross' }\n            },\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                type: 'value',\n                min: minX,\n                max: maxX,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: {\n                    color: '#999999',\n                    formatter: (value: number) => value === minX || value === maxX ? '' : value + ''\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.xColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            }],\n            yAxis: {\n                type: 'value',\n                min: minY,\n                max: maxY,\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: {\n                    color: '#999999',\n                    formatter: (value: number) => value === maxY || value === minY ? '' : value + ''\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.yColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n            series: [scatterSeries, ...curveSeries]\n        };\n    }\n}\n","<lazy-render\n    [trackData]=\"results\"\n    [visibleTemplate]=\"visible\"\n    [invisibleTemplate]=\"invisible\"\n    >\n    <ng-template #visible>\n        <heatmap\n            [xLabels]=\"heatmapLabels\"\n            [yLabels]=\"heatmapLabels\"\n            [data]=\"heatmapData\"\n            [readOnly]=\"readOnly\"\n            [heatmapParams]=\"params.heatmapParams\"\n            [warnings]=\"heatmapWarnings\"\n            [ignoreDiagonal]=\"true\"\n        >\n        </heatmap>\n    </ng-template>\n    <ng-template #invisible>Please wait...</ng-template>\n</lazy-render>\n","import { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges, ChangeDetectionStrategy, ChangeDetectorRef } from '@angular/core';\nimport { CorrelationMatrixCard } from 'src/generated-sources';\nimport { EChartsOption } from 'echarts';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { Subject } from 'rxjs';\nimport { debounceTime } from 'rxjs/operators';\n\n@Component({\n    selector: 'correlation-matrix-card-body',\n    templateUrl: './correlation-matrix-card-body.component.html',\n    styleUrls: ['./correlation-matrix-card-body.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CorrelationMatrixCardBodyComponent implements OnChanges {\n    @Input() results: CorrelationMatrixCard.CorrelationMatrixCardResult;\n    @Input() params: CorrelationMatrixCard;\n    @Input() readOnly: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n    chartOptions: EChartsOption;\n\n    heatmapLabels: string[] | undefined;\n    heatmapData: number[][] | undefined;\n    heatmapWarnings: (string | null)[][] | undefined;\n\n    constructor() {\n\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.buildHeatmapChartParams();\n        }\n    }\n\n    buildHeatmapChartParams(): void {\n        this.heatmapData = [];\n        this.heatmapWarnings = [];\n        let scoreIdx = 0;\n        let warningIdx = 0;\n        for (let col = 0; col < this.params.columns.length; col++) {\n            this.heatmapData[col] = [];\n            this.heatmapWarnings[col] = [];\n        }\n\n        for (let xIdx = 0; xIdx < this.params.columns.length; xIdx++) {\n            for (let yIdx = xIdx; yIdx < this.params.columns.length; yIdx++) {\n                const score = this.results.scores[scoreIdx];\n                this.heatmapData[xIdx][yIdx] = score;\n                this.heatmapData[yIdx][xIdx] = score;\n                if ((null == score) && this.results.partialErrors && this.results.partialErrors.length > warningIdx) {\n                    this.heatmapWarnings[xIdx][yIdx] = this.results.partialErrors[warningIdx];\n                    this.heatmapWarnings[yIdx][xIdx] = this.results.partialErrors[warningIdx];\n                    warningIdx++;\n                } else {\n                    this.heatmapWarnings[xIdx][yIdx] = null;\n                    this.heatmapWarnings[yIdx][xIdx] = null;\n                }\n                scoreIdx++;\n            }\n        }\n\n        this.heatmapLabels = this.params.columns.map((variable) => variable.name)\n    }\n}\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { HeatmapComponent } from './heatmap/heatmap.component';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { ModalsModule } from '@shared/modals/modals.module';\nimport { ScrollingModule } from '@angular/cdk/scrolling';\nimport { CommaSeparatedViewDirective } from '@shared/directives/comma-separated-view/comma-separated-view.directive';\nimport { ForceIntegerDirective } from '@shared/directives/force-integer/force-integer.directive';\nimport { QaSelectorDirective } from '@shared/directives/qa-selector/qa-selector.directive';\nimport { NgxEchartsModule } from 'ngx-echarts';\nimport { DataikuAPIModule } from '@core/dataiku-api/dataiku-api.module';\nimport { ClickStopDirective } from '@shared/directives/click-stop/click-stop.directive';\nimport { SimpleNumberListComponent } from './simple-number-list/simple-number-list.component';\nimport { ContainerSelectionFormComponent } from './container-selection-form/container-selection-form.component';\nimport { DoclinkWrapperComponent } from './doclink-wrapper/doclink-wrapper.component';\nimport { DatasetErrorCtaComponent } from './dataset-error-cta/dataset-error-cta.component';\nimport { ImageFeedComponent } from './image-feed/image-feed.component';\nimport { InfiniteScrollComponent } from './infinite-scroll/infinite-scroll.component';\nimport { ImageFeedImageComponent } from './image-feed-image/image-feed-image.component';\nimport { ConfusionMatrixComponent } from './confusion-matrix/confusion-matrix.component';\nimport { UserPictureComponent } from './user-picture/user-picture.component';\nimport { FeedImageModalComponent } from '@shared/components/feed-image-modal/feed-image-modal.component';\nimport { FeedImageModalSectionComponent } from './feed-image-modal-section/feed-image-modal-section.component';\nimport { FeedImageModalCanvasComponent } from './feed-image-modal-canvas/feed-image-modal-canvas.component';\nimport { CarouselComponent } from './carousel/carousel.component';\nimport { ImageMetadataComponent } from './feed-image-modal/image-metadata/image-metadata.component';\nimport { ImagePlaceholderComponent } from './image-placeholder/image-placeholder.component';\n\n@NgModule({\n    imports: [\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        ModalsModule,\n        ScrollingModule,\n        NgxEchartsModule,\n        DataikuAPIModule\n    ],\n    declarations: [\n        HeatmapComponent,\n        ImageFeedComponent,\n        CommaSeparatedViewDirective,\n        ClickStopDirective,\n        ForceIntegerDirective,\n        QaSelectorDirective,\n        SimpleNumberListComponent,\n        ContainerSelectionFormComponent,\n        DoclinkWrapperComponent,\n        DatasetErrorCtaComponent,\n        InfiniteScrollComponent,\n        ImageFeedImageComponent,\n        FeedImageModalComponent,\n        FeedImageModalSectionComponent,\n        ConfusionMatrixComponent,\n        UserPictureComponent,\n        FeedImageModalCanvasComponent,\n        CarouselComponent,\n        ImageMetadataComponent,\n        ImagePlaceholderComponent\n    ],\n    exports: [\n        HeatmapComponent,\n        ConfusionMatrixComponent,\n        ImageFeedComponent,\n        CommaSeparatedViewDirective,\n        ClickStopDirective,\n        ForceIntegerDirective,\n        QaSelectorDirective,\n        SimpleNumberListComponent,\n        ContainerSelectionFormComponent,\n        DoclinkWrapperComponent,\n        DatasetErrorCtaComponent,\n        InfiniteScrollComponent,\n        ImageFeedImageComponent,\n        FeedImageModalComponent,\n        FeedImageModalSectionComponent,\n        FeedImageModalCanvasComponent,\n        ImageMetadataComponent,\n        UserPictureComponent,\n        ImagePlaceholderComponent,\n    ],\n})\nexport class ComponentsModule {\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Empirical CDFs</div>\n            <div class=\"card-layout__content\">\n                <lazy-echart [options]=\"cdfChartOptions\" class=\"cdf\"></lazy-echart>\n            </div>\n        </div>\n        <div class=\"card-layout__section card-layout__section--vertical\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Samples</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row--colored\">\n                                <th\n                                    class=\"stats-table__head\"\n                                    colspan=\"2\"\n                                ></th>\n                                <th\n                                    class=\"stats-table__title\"\n                                    colspan=\"2\"\n                                >\n                                    {{ params.xColumn.name }}\n                                </th>\n                            </tr>\n                            <tr class=\"stats-table__row--colored\">\n                                <th class=\"stats-table__title\">{{ params.yColumn.name }}</th>\n                                <th class=\"stats-table__title\">Count</th>\n                                <th class=\"stats-table__title\">Mean</th>\n                                <th class=\"stats-table__title\">Std. Dev.</th>\n                            </tr>\n                            <tr class=\"stats-table__row--invisible\"></tr>\n                            <tr\n                                class=\"stats-table__row population\"\n                                *ngFor=\"let group of results.groups\"\n                            >\n                                <th class=\"stats-table__head\">\n                                    <span [ngStyle]=\"{color: colorsService.getColorForVariable(group.filter | filterName), 'font-size':'30px'}\">&bull;</span>\n                                    {{ group.filter | filterName }}\n                                </th>\n                                <td class=\"stats-table__cell stats-table__cell--left\">{{ group.boxPlot.countComplete }}</td>\n                                <td class=\"stats-table__cell stats-table__cell--left\">{{ group.boxPlot.mean | smarterNumber  }}</td>\n                                <td class=\"stats-table__cell stats-table__cell--left\">{{ group.boxPlot.stdDev | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    <u>{{ params.xColumn.name }}</u>\n                                    distribution is the same in the two populations\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Kolmogorov–Smirnov test statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level,\n            <u>{{ params.xColumn.name }}</u>\n            distribution is different in the two populations\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether\n            <u>{{ params.xColumn.name }}</u>\n            distribution is different in the two populations\n        </p>\n    </ng-template>\n</div>\n","import { Component, Input, Output, EventEmitter, SimpleChanges, OnChanges } from '@angular/core';\nimport { KsTest2SampCard } from 'src/generated-sources';\nimport { EChartsOption } from 'echarts';\nimport _ from 'lodash';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { zipSameSize } from '@features/eda/echarts-utils';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\n\n@Component({\n    selector: 'ks-test-2samp-card-body',\n    templateUrl: './ks-test-2samp-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        '../../../../shared-styles/chart.less',\n        './ks-test-2samp-card-body.component.less'\n    ]\n})\nexport class KsTest2SampCardBodyComponent implements OnChanges {\n    @Input() results: KsTest2SampCard.KsTest2SampCardResult;\n    @Input() params: KsTest2SampCard;\n    @Output() action = new EventEmitter<CardAction>();\n\n    cdfChartOptions: EChartsOption;\n\n    constructor(public colorsService: ColorsService) {\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.cdfChartOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n\n    buildChartOptions(results: KsTest2SampCard.KsTest2SampCardResult): EChartsOption {\n        return {\n            color: ['#3398DB'],\n            animation: false,\n            tooltip: {\n                trigger: 'item',\n                axisPointer: {\n                    type: 'cross'\n                }\n            },\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                type: 'value',\n                scale: true,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: { color: '#999999' }\n            }],\n            yAxis: {\n                type: 'value',\n                min: 0,\n                max: 1,\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999' }\n            },\n            series: [\n                {\n                    type: 'line',\n                    symbol: 'none',\n                    step: 'middle',\n                    data: zipSameSize(results.cdf1.xvals, results.cdf1.probs),\n                    itemStyle: {\n                        color: this.colorsService.getColorForVariable(filterName(this.results.groups[0].filter))\n                    }\n                },\n                {\n                    type: 'line',\n                    step: 'middle',\n                    symbol: 'none',\n                    data: zipSameSize(results.cdf2.xvals, results.cdf2.probs),\n                    itemStyle: {\n                        color: this.colorsService.getColorForVariable(filterName(this.results.groups[1].filter))\n                    }\n                }\n            ]\n        };\n    }\n}\n","import { ChangeDetectionStrategy, Component, Input, OnChanges, SimpleChanges } from \"@angular/core\";\nimport { smarterNumber } from \"@shared/pipes/number-pipes/smarter-number.pipe\";\nimport { EChartsOption, SeriesOption } from \"echarts\";\nimport { encodeHTML } from \"entities\";\nimport { BoxPlotFragment } from \"src/generated-sources\";\n\n@Component({\n    selector: 'embedded-box-plot',\n    templateUrl: './embedded-box-plot.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './embedded-box-plot.component.less',\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class EmbeddedBoxPlotComponent implements OnChanges {\n    @Input() variableName: string;\n    @Input() boxPlot: BoxPlotFragment;\n\n    // By default, the min/max values are read from the boxPlot object.\n    // However, we want in some cases to override the min/max values so that\n    // multiple embedded box plots share the same scales.\n    @Input() minValue: number | null = null;\n    @Input() maxValue: number | null = null;\n\n    boxPlotOptions: EChartsOption;\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (changes.boxPlot) {\n            this.boxPlotOptions = this.createBoxPlot();\n        }\n    }\n\n    private createBoxPlot(): EChartsOption {\n        const { pc01, pc25, pc75, pc99, median, min, max } = this.boxPlot;\n\n        const boxplotSeries: SeriesOption = {\n            name: 'boxplot',\n            type: 'boxplot',\n            tooltip: {\n                formatter: ((param: { data: number[] }) => {\n                    const bullets = [\n                        '&bull; 1st percentile: ' + encodeHTML(smarterNumber(param.data[1])),\n                        '&bull; 1st quartile: ' + encodeHTML(smarterNumber(param.data[2])),\n                        '&bull; Median: ' + encodeHTML(smarterNumber(param.data[3])),\n                        '&bull; 3rd quartile: ' + encodeHTML(smarterNumber(param.data[4])),\n                        '&bull; 99th percentile: ' + encodeHTML(smarterNumber(param.data[5]))\n                    ];\n\n                    return encodeHTML(this.variableName)\n                        + ':<br>'\n                        + bullets.join('<br>');\n                }) as any,\n            },\n            data: [[\n                pc01 ?? 0,\n                pc25 ?? 0,\n                median ?? 0,\n                pc75 ?? 0,\n                pc99 ?? 0,\n            ]],\n            itemStyle: {\n                borderColor: '#888888',\n                borderWidth: 1,\n            },\n        };\n\n        return {\n            animation: false,\n            grid: {\n                left: 0,\n                top: 0,\n                right: 0,\n                bottom: 0,\n            },\n            yAxis: {\n                type: 'category',\n                show: false,\n            },\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: {\n                    type: 'shadow'\n                }\n            },\n            xAxis: {\n                min: this.minValue ?? min ?? 0,\n                max: this.maxValue ?? max ?? 0,\n                type: 'value',\n                show: false,\n            },\n            series: [\n                boxplotSeries,\n            ],\n        };\n    }\n}\n","<lazy-echart\n    [options]=\"boxPlotOptions\"\n    [compactLoading]=\"true\"\n></lazy-echart>\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Tested hypothesis</div>\n            <div class=\"card-layout__content\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row stats-table__row--colored\">\n                            <th class=\"stats-table__head\">Significance level</th>\n                            <td class=\"stats-table__cell\">\n                                {{ 1 - params.confidenceLevel | smarterNumber }}\n                            </td>\n                            <th class=\"stats-table__head\">𝘱-values correction method</th>\n                            <td class=\"stats-table__cell\">\n                                <ng-container [ngSwitch]=\"params.adjustmentMethod\">\n                                    <ng-container *ngSwitchCase=\"'NONE'\">None</ng-container>\n                                    <ng-container *ngSwitchCase=\"'BONFERRONI'\">Bonferroni</ng-container>\n                                    <ng-container *ngSwitchCase=\"'HOLM_BONFERRONI'\">Holm-Bonferroni</ng-container>\n                                    <ng-container *ngSwitchDefault>[NOT IMPLEMENTED]</ng-container>\n                                </ng-container>\n                            </td>\n                        </tr>\n                        <tr class=\"stats-table__row stats-table__row--colored\">\n                            <th class=\"stats-table__head\">Hypothesis tested</th>\n                            <td class=\"stats-table__cell\">\n                                <u>{{ params.xColumn.name }}</u>\n                                {{ locationParameterName }}\n                                is identical in each pair of populations\n                            </td>\n                            <th class=\"stats-table__head\"></th>\n                            <td class=\"stats-table__cell\"></td>\n                        </tr>\n                    </tbody>\n                </table>\n            </div>\n        </div>\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">P-values table</div>\n            <div class=\"card-layout__content\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head stats-table__head--colored\"></th>\n                            <th class=\"stats-table__head\">Count</th>\n                            <th class=\"stats-table__head\"></th>\n                            <th\n                                class=\"stats-table__head\"\n                                *ngFor=\"let colGroup of results.groups; let colIdx = index;\"\n                            >\n                                {{ colGroup.filter | filterName }}\n                            </th>\n                        </tr>\n                        <tr\n                            class=\"stats-table__row\"\n                            *ngFor=\"let rowGroup of results.groups; let rowIdx = index;\"\n                        >\n                            <th class=\"stats-table__head stats-table__head--colored\">{{ rowGroup.filter | filterName }}</th>\n                            <td class=\"stats-table__cell stats-table__cell--left\">{{ rowGroup.boxPlot.countComplete }}</td>\n                            <td class=\"boxplot-cell stats-table__cell\">\n                                <embedded-box-plot\n                                    *ngIf=\"rowGroup.boxPlot\"\n                                    [variableName]=\"params.yColumn.name\"\n                                    [boxPlot]=\"rowGroup.boxPlot\"\n                                    [minValue]=\"boxPlotsMin\"\n                                    [maxValue]=\"boxPlotsMax\"\n                                ></embedded-box-plot>\n                            </td>\n\n                            <ng-container *ngFor=\"let colGroup of results.groups; let colIdx = index\">\n                                <td\n                                    *ngIf=\"rowIdx > colIdx; else blankCell\"\n                                    class=\"stats-table__cell stats-table__cell--left\"\n                                >\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalues[getFlattenedIndex(colIdx, rowIdx)]\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                                <ng-template #blankCell>\n                                    <td class=\"stats-table__cell stats-table__cell--left\">-</td>\n                                </ng-template>\n                            </ng-container>\n                        </tr>\n                    </tbody>\n                </table>\n            </div>\n        </div>\n    </div>\n</div>\n","import { Component, Input, Output, EventEmitter } from '@angular/core';\nimport { PairwiseTTestCard, PairwiseMoodTestCard, BoxPlotFragment } from 'src/generated-sources';\nimport { ChangeDetectionStrategy } from '@angular/core';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport _ from 'lodash';\n\ntype SupportedCard =\n    PairwiseTTestCard\n    | PairwiseMoodTestCard;\n\ntype SupportedCardResult =\n    PairwiseTTestCard.PairwiseTTestCardResult\n    | PairwiseMoodTestCard.PairwiseMoodTestCardResult;\n\n@Component({\n    selector: 'generic-pairwise-test-card-body',\n    templateUrl: './generic-pairwise-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './generic-pairwise-test-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\n\nexport class GenericPairwiseTestCardBodyComponent {\n    @Input() results: SupportedCardResult;\n    @Input() params: SupportedCard;\n    @Output() action = new EventEmitter<CardAction>();\n\n    get locationParameterName() {\n        switch (this.params.type) {\n            case 'pairwise_ttest':\n                return 'mean';\n            case 'pairwise_mood':\n                return 'median';\n        }\n    }\n\n    private get boxPlots(): BoxPlotFragment[] {\n        return this.results.groups\n            .filter(group => group.boxPlot)\n            .map(group => group.boxPlot);\n    }\n\n    get boxPlotsMin(): number {\n        const minList = this.boxPlots.map(it => it.min);\n        return _.min(minList) ?? 0;\n    }\n\n    get boxPlotsMax(): number {\n        const maxList = this.boxPlots.map(it => it.max);\n        return _.max(maxList) ?? 0;\n    }\n\n    getFlattenedIndex(colIdx: number, rowIdx: number) {\n        const nbGroups = this.results.groups.length;\n        return (nbGroups * (nbGroups - 1) / 2)\n            - (nbGroups - colIdx) * ((nbGroups - colIdx) - 1) / 2\n            + rowIdx - colIdx - 1;\n    }\n}\n","<ng-container *ngIf=\"results.reason === 'NOT_COMPUTED'\">\n    <span class=\"dku-loader icon-spin card-spinner\" [class.m8]=\"params.type === 'univariate_header' || params.type === 'bivariate_header'\"></span>\n</ng-container>\n\n<ng-container *ngIf=\"results.reason === 'FAILURE'\">\n    <div class=\"alert alert-danger\">\n        <i class=\"icon-warning-sign\"></i>\n        {{ results.message }}\n    </div>\n</ng-container>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { Card, CardResult } from 'src/generated-sources';\n\n@Component({\n    selector: 'unavailable-card-body',\n    templateUrl: './unavailable-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-spinner.less',\n        './unavailable-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class UnavailableCardBodyComponent {\n    @Input() params: Card;\n    @Input() results: CardResult.UnavailableCardResult;\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\" *ngIf=\"params.showScreePlot || params.showScatterPlot || params.showLoadingPlot\">\n        <div class=\"card-layout__section\" *ngIf=\"params.showScreePlot\">\n            <div class=\"card-layout__title\">Scree plot</div>\n            <div class=\"card-layout__content\">\n                <lazy-echart\n                    class=\"chart\"\n                    [qa]=\"'eda-pca-scree-plot'\"\n                    [class.chart--fixed-height-tall]=\"!params.showComponents && hasFixedHeight\"\n                    [class.chart--fixed-height]=\"hasFixedHeight\"\n                    [options]=\"varianceChartOptions\">\n                </lazy-echart>\n            </div>\n        </div>\n        <div class=\"card-layout__section\" *ngIf=\"params.showScatterPlot\">\n            <div class=\"card-layout__title\">Scatter plot</div>\n            <div class=\"card-layout__content\">\n                <lazy-echart\n                    class=\"chart\"\n                    [qa]=\"'eda-pca-scatter-plot'\"\n                    [class.chart--fixed-height-tall]=\"!params.showComponents && hasFixedHeight\"\n                    [class.chart--fixed-height]=\"hasFixedHeight\"\n                    [options]=\"scatterPlotChartOptions\">\n                </lazy-echart>\n            </div>\n        </div>\n        <div class=\"card-layout__section\" *ngIf=\"params.showLoadingPlot\">\n            <div class=\"card-layout__title\">Loading plot</div>\n            <div class=\"card-layout__content\">\n                <lazy-echart\n                    class=\"chart\"\n                    [qa]=\"'eda-pca-loading-plot'\"\n                    [class.chart--fixed-height-tall]=\"!params.showComponents && hasFixedHeight\"\n                    [class.chart--fixed-height]=\"hasFixedHeight\"\n                    [options]=\"loadingPlotChartOptions\">\n                </lazy-echart>\n            </div>\n        </div>\n    </div>\n    <div class=\"card-layout__section  card-layout__section--horizontal\" *ngIf=\"params.showComponents\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">\n                Principal components <ng-container *ngIf=\"params.heatmapParams.filterVariablesWithoutValues\">(hiding variables with no value)</ng-container>\n                <button\n                    *ngIf=\"!readOnly\"\n                    class=\"btn btn--icon menu-button pull-right\"\n                    [matMenuTriggerFor]=\"contextualMenu\"\n                >\n                    <i class=\"icon-dku-ellipsis-vertical\"></i>\n                </button>\n\n                <mat-menu #contextualMenu>\n                    <button\n                        mat-menu-item\n                        (click)=\"configureVisualization()\"\n                    >\n                        Configure heatmap...\n                    </button>\n                </mat-menu>\n            </div>\n            <div class=\"card-layout__content\">\n                <heatmap\n                    [xLabels]=\"heatmapEVLabels\"\n                    [yLabels]=\"heatmapColumnLabels\"\n                    [data]=\"heatmapData\"\n                    [readOnly]=\"readOnly\"\n                    [heatmapParams]=\"params.heatmapParams\"\n                    [qa]=\"'eda-pca-heatmap'\"\n                ></heatmap>\n            </div>\n        </div>\n    </div>\n</div>\n","import { Component, Input, EventEmitter, Output, SimpleChanges, ChangeDetectionStrategy, OnChanges, ViewContainerRef } from '@angular/core';\nimport { PCACard, isPCACard, Card } from 'src/generated-sources';\nimport { CustomSeriesOption, EChartsOption, LineSeriesOption, ScatterSeriesOption } from 'echarts';\nimport _ from 'lodash';\nimport { CardAction, CardActionType } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { HeatmapConfigComponent } from '../../config/heatmap-config/heatmap-config.component';\nimport { ModalShape, ModalsService } from '@shared/modals/modals.service';\nimport { encodeHTML } from 'entities';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { zipSameSize } from '@features/eda/echarts-utils';\n\n@Component({\n    selector: 'pca-card-body',\n    templateUrl: './pca-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-layout.less',\n        '../../../../shared-styles/chart.less',\n        './pca-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class PCACardBodyComponent implements OnChanges {\n    @Input() params: PCACard;\n    @Input() results: PCACard.PCACardResult;\n    @Input() readOnly: boolean;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    varianceChartOptions: EChartsOption | undefined;\n    scatterPlotChartOptions: EChartsOption | undefined;\n    loadingPlotChartOptions: EChartsOption | undefined;\n\n    heatmapColumnLabels: string[] | undefined;\n    heatmapEVLabels: string[] | undefined;\n    heatmapData: number[][] | undefined;\n\n    constructor(private colorsService: ColorsService, private modalsService: ModalsService,\n                private viewContainerRef: ViewContainerRef) {\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.buildVarianceChartOptions(this.results);\n            this.buildScatterPlotChartOptions(this.results);\n            this.buildHeatmapChartOptions(this.results);\n            this.buildLoadingPlotChartOptions()\n        }\n    }\n\n    buildVarianceChartOptions(results: PCACard.PCACardResult): void {\n        if (!results.explainedVarianceRatio) {\n            this.varianceChartOptions = undefined;\n            return;\n        }\n        const varianceLabels: string[] = results.explainedVarianceRatio.map((v, i) => 'PC' + (i + 1));\n        const varianceRatios: number[] = results.explainedVarianceRatio;\n\n        const cumulativeSum = (sum => (value: number) => sum += value)(0);\n        const cumsumVarianceRatios = varianceRatios.map(cumulativeSum);\n\n        this.varianceChartOptions = {\n            grid: {\n                left: '20px',\n                top: '3%',\n                right: '3%',\n                bottom: '20px',\n                containLabel: true\n            },\n            tooltip: {\n                trigger: 'item',\n                confine: true,\n                axisPointer: { type: 'none' },\n                formatter: (params: any) => {\n                    if (params.seriesIndex === 1) {\n                        return encodeHTML(`${params.value.toFixed(2)}`);\n                    } else {\n                        return '';\n                    }\n                }\n            },\n            xAxis: [{\n                type: 'value',\n                axisLabel: { color: '#999999' },\n                axisTick: { show: false },\n                axisLine: { show: false },\n                show: false\n            },\n            {\n                type: 'value',\n                position: 'bottom',\n                name: 'Explained variance ratio',\n                nameLocation: 'middle',\n                nameTextStyle: {\n                    color: '#999999'\n                },\n                nameGap: 30,\n                min: 0,\n                max: 100,\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#ff0000' }\n            }],\n            yAxis: [{\n                type: 'category',\n                name: 'Eigenvalues',\n                nameLocation: 'middle',\n                nameTextStyle: {\n                    color: '#999999'\n                },\n                nameGap: 40,\n                data: varianceLabels.slice().reverse(),\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999' }\n            }],\n            series: [\n                {\n                    type: 'bar',\n                    emphasis: { color: '#2d92cc' },\n                    itemStyle: {\n                        color: '#c4dffe',\n                    },\n                    data: results.explainedVariance.slice().reverse(),\n                    tooltip: {\n                        formatter: (v: { name: string, value: any }) =>\n                            '<b>' + encodeHTML(v.name) + '</b><br>'\n                            + 'Eigenvalue: <b>' + encodeHTML(smarterNumber(v.value)) + '</b>'\n                    }\n                },\n                {\n                    type: 'line',\n                    itemStyle: {\n                        color: '#cc0000',\n                    },\n                    tooltip: {\n                        formatter: (v: { name: string, value: any }) =>\n                            '<b>' + encodeHTML(v.name) + '</b><br>'\n                            + 'Explained variance ratio: <b>'\n                            + encodeHTML(smarterNumber(v.value) || '')\n                            + '%</b> (cumulative)'\n                    },\n                    data: cumsumVarianceRatios.slice().reverse().map(v => v * 100.),\n                    xAxisIndex: 1,\n                    markLine: {\n                        lineStyle: {\n                            color: '#ff0000',\n                            width: 1,\n                            type: 'solid'\n                        },\n                        symbol: 'none',\n                        data: [\n                            {\n                                name: 'Horizontal line with Y value at 0.9',\n                                xAxis: 90\n                            } as any,\n                        ],\n                        label: {\n                            position: 'start'\n                        }\n                    }\n                }\n            ],\n            animation: false,\n        };\n    }\n\n    buildLoadingPlotChartOptions() {\n        const loadingPlotSeries = this.params.columns.map( (column, i): LineSeriesOption => {\n            const color = this.colorsService.getColorForVariable(column.name);\n            return {\n                type: 'line',\n                showSymbol: false,\n                name: column.name,\n                color,\n                endLabel: {\n                    show: true,\n                    valueAnimation: false,\n                    formatter:  (params) => {\n                        return column.name;\n                    },\n                    color\n                },\n                labelLayout: {\n                    moveOverlap: 'shiftY'\n                },\n                data: [\n                    [0, 0],\n                    [this.results.components[0][i], this.results.components[1][i]]\n                ]\n            }\n        });\n\n        const unitCircleSeries: CustomSeriesOption = {\n            type: 'custom',\n            renderItem: (params, api) => {\n                const origin = api.coord([0, 0]);\n                const rx = (api.size!([1, 0],[0,0]) as number[])[0];\n                const ry = (api.size!([0, 1],[0,0]) as number[])[1];\n\n                return {\n                    type: 'ellipse',\n                    shape: {\n                        cx: origin[0],\n                        cy: origin[1],\n                        rx, ry\n                    },\n                    style: {\n                        stroke: '#DDDDDD',\n                        lineWidth: 2,\n                        fill: 'rgba(0,0,0,0)'\n                    }\n                }\n            },\n            data: [[0, 0]]\n        }\n\n        this.loadingPlotChartOptions = {\n            tooltip: {\n                trigger: 'none',\n                axisPointer: { type: 'cross' }\n            },\n            legend: {\n                icon: 'circle',\n                textStyle: {\n                    color: '#333',\n                    fontSize: 13\n                },\n                orient: 'horizontal',\n                type: 'scroll',\n                padding: [0, 0, 15, 0],\n\n            },\n            grid: {\n                left: '0%',\n                top: '60px',\n                right: '50px',\n                bottom: '0%',\n                containLabel: true\n            },\n            xAxis: { name: 'PC1', min: -1, max: 1},\n            yAxis: { name: 'PC2', min: -1, max: 1},\n            series: [unitCircleSeries, ...loadingPlotSeries],\n            animation: false\n        };\n    }\n\n    buildScatterPlotChartOptions(result: PCACard.PCACardResult): void {\n        if (!result.projections) {\n            this.scatterPlotChartOptions = undefined;\n            return;\n        }\n        const scatterSeries = result.projections.map( (curProj, i): ScatterSeriesOption => {\n            return {\n                name: filterName(result.groups[i]),\n                type: 'scatter',\n                symbolSize: 4,\n                itemStyle: {\n                    opacity: 0.5,\n                    color: this.colorsService.getColorForVariable(filterName(result.groups[i]))\n                },\n                data: zipSameSize(curProj[0], curProj[1]),\n                large: true\n            };\n        });\n\n        this.scatterPlotChartOptions = {\n            tooltip: {\n                trigger: 'none',\n                axisPointer: { type: 'cross' }\n            },\n            legend: {\n                textStyle: {\n                    color: '#333',\n                    fontSize: 13\n                },\n                itemStyle: {\n                    opacity: 1,\n                },\n                type: 'scroll',\n                padding: [0, 0, 15, 0],\n                show: !!this.params.colorBy\n            },\n            grid: {\n                left: '5px',\n                top: this.params.colorBy ? '60px' : '40px',\n                right: '50px',\n                bottom: '5px',\n                containLabel: true\n            },\n            xAxis: { name: 'PC1'},\n            yAxis: { name: 'PC2'},\n            series: scatterSeries,\n            animation: false\n        };\n    }\n\n    buildHeatmapChartOptions(result: PCACard.PCACardResult): void {\n        this.heatmapData = result.components.map(\n            (curComponent) => curComponent.map( (cc) => cc )\n        );\n        this.heatmapEVLabels = result.components.map( (_, i) => 'PC' + (i+1));\n        this.heatmapColumnLabels = this.params.columns.map(c => c.name);\n    }\n\n    configureVisualization() {\n        if (isPCACard(this.params)) {\n            this.modalsService.open(HeatmapConfigComponent, { params: this.params.heatmapParams },\n                ModalShape.NARROW, this.viewContainerRef)\n                .then((heatmapParams) => {\n                    // these second typeguards are imposed by TS.\n                    if (isPCACard(this.params)) {\n                        const card: PCACard = _.cloneDeep(this.params);\n                        card.heatmapParams = heatmapParams;\n                        this.updateCard(card);\n                    }\n                }, () => { });\n        }\n\n    }\n\n    updateCard(card: Card) {\n        this.action.emit({ type: CardActionType.UPDATE, newParams: card });\n    }\n}\n","<table\n    class=\"fit-table\"\n    *ngIf=\"renderingMode !== CardBodyRenderingMode.TOP_LEVEL_CARD\"\n>\n    <tbody class=\"fit-table__body\">\n        <tr class=\"fit-table__row\">\n            <th class=\"fit-table__title\">{{ params.xColumn.name }}</th>\n            <th class=\"text-left fit-table__title\">{{ params.yColumn.name }}</th>\n            <th>Count</th>\n        </tr>\n        <tr\n            *ngFor=\"let x of results.table.xValues; let i = index; trackBy: trackByIndex\"\n            class=\"fit-table__row\"\n        >\n            <th class=\"fit-table__head\">{{ x | filterName }}</th>\n            <td colspan=\"2\">\n                <table class=\"stats-table\">\n                    <tbody>\n                        <tr\n                            class=\"stats-table__row\"\n                            *ngFor=\"let y of results.table.yValues; let j = index;\"\n                        >\n                            <th class=\"stats-table__head\">{{ y | filterName }}</th>\n                            <td class=\"stats-table__cell\">\n                                {{ results.table.counts[results.table.yValues.length * i + j] }}\n                            </td>\n                        </tr>\n                    </tbody>\n                </table>\n            </td>\n        </tr>\n    </tbody>\n</table>\n<table\n    class=\"stats-table\"\n    *ngIf=\"renderingMode === CardBodyRenderingMode.TOP_LEVEL_CARD\"\n>\n    <tbody class=\"stats-table__body\">\n        <tr class=\"stats-table__row\">\n            <th></th>\n            <th\n                class=\"stats-table__head stats-table__head--colored\"\n                *ngFor=\"let x of results.table.xValues;\"\n            >\n                {{ x | filterName }}\n            </th>\n            <th class=\"stats-table__title\">Totals</th>\n        </tr>\n        <tr\n            *ngFor=\"let y of results.table.yValues; let j = index;\"\n            class=\"stats-table__row\"\n        >\n            <th class=\"stats-table__head stats-table__head--colored\">{{ y | filterName }}</th>\n            <td\n                class=\"stats-table__cell stats-table__cell--left\"\n                *ngFor=\"let x of results.table.xValues; let i = index;\"\n            >\n                {{ results.table.counts[results.table.yValues.length * i + j] }}\n            </td>\n            <td class=\"stats-table__cell stats-table__cell--left\">{{ results.table.yCounts[j] }}</td>\n        </tr>\n        <tr class=\"stats-table__row\">\n            <th class=\"stats-table__title stats-table__title--colored\">Totals</th>\n            <td\n                class=\"stats-table__cell stats-table__cell--left\"\n                *ngFor=\"let x of results.table.xValues; let i = index;\"\n            >\n                {{ results.table.xCounts[i] }}\n            </td>\n            <td class=\"stats-table__cell stats-table__cell--left\">{{ results.table.total }}</td>\n        </tr>\n    </tbody>\n</table>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { BivariateFrequencyTableCard } from 'src/generated-sources';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\n\n@Component({\n    selector: 'bivariate-frequency-table-card-body',\n    templateUrl: './bivariate-frequency-table-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/fit-table.less',\n        './bivariate-frequency-table-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class BivariateFrequencyTableCardBodyComponent {\n    readonly CardBodyRenderingMode = CardBodyRenderingMode;\n\n    @Input() params: BivariateFrequencyTableCard;\n    @Input() results: BivariateFrequencyTableCard.BivariateFrequencyTableCardResult;\n    @Input() renderingMode: CardBodyRenderingMode;\n\n    trackByIndex(index: number) {\n        return index;\n    }\n}\n","import { Component, Input, ChangeDetectionStrategy, EventEmitter, Output, SimpleChanges, OnChanges } from '@angular/core';\nimport { BivariateBoxPlotCard, Variable } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption, XAXisComponentOption, YAXisComponentOption } from 'echarts';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { isDefined } from '@utils/objects';\nimport { encodeHTML } from 'entities';\nimport { FilterNamePipe } from '@features/eda/pipes/filter-name.pipe';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\nconst filterNamePipe = new FilterNamePipe();\n\n@Component({\n    selector: 'bivariate-box-plot-card-body',\n    templateUrl: './bivariate-box-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './bivariate-box-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class BivariateBoxPlotCardBodyComponent implements OnChanges {\n    @Input() params: BivariateBoxPlotCard;\n    @Input() results: BivariateBoxPlotCard.BivariateBoxPlotCardResult;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    options: EChartsOption | undefined;\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.options = this.buildChartOptions();\n        }\n    }\n\n    buildChartOptions(): EChartsOption | undefined {\n        if (!this.results || !this.results.boxPlots) {\n            return undefined;\n        }\n        let maxVal: number = Number.MIN_SAFE_INTEGER;\n        let minVal: number = Number.MAX_SAFE_INTEGER;\n\n        const drawableBoxPlots = this.results.boxPlots.map(\n            (curBoxPlot, i) => {\n                if (!isDefined(curBoxPlot.max) || !isDefined(curBoxPlot.min) || !isDefined(curBoxPlot.pc01)\n                    || !isDefined(curBoxPlot.pc25) || !isDefined(curBoxPlot.median) || !isDefined(curBoxPlot.pc75)\n                    || !isDefined(curBoxPlot.pc99)) {\n                    return undefined;\n                }\n                if (curBoxPlot.max != null) {\n                    maxVal = Math.max(maxVal, curBoxPlot.max);\n                }\n                if (curBoxPlot.min != null) {\n                    minVal = Math.min(minVal, curBoxPlot.min);\n                }\n                return curBoxPlot;\n            }\n        );\n\n        const data: ((number | null| undefined)[] | {})[] = [];\n        const isVertical = this.params.yColumn.type !== Variable.Type.CATEGORICAL;\n        let labels: (string | null | undefined)[] = [];\n\n        if (drawableBoxPlots && this.results.axisVals) {\n            labels = this.results.axisVals.map(value => filterNamePipe.transform(value));\n\n            drawableBoxPlots.forEach((boxPlot, i) => {\n                if (boxPlot) {\n                    data.push([\n                        boxPlot.pc01,\n                        boxPlot.pc25,\n                        boxPlot.median,\n                        boxPlot.pc75,\n                        boxPlot.pc99\n                    ]);\n                } else {\n                    data.push({});\n                }\n            });\n        }\n\n        // categorical or binned numerical axis\n        const catAxis = [{\n            type: 'category',\n            data: labels,\n            axisTick: { show: true },\n            axisLine: { show: true },\n            axisLabel: {\n                color: '#999999'\n            }\n        }];\n\n        const numAxis = [{\n            type: 'value',\n            min: smarterNumber(minVal),\n            max: smarterNumber(maxVal),\n            axisTick: { show: true },\n            axisLine: { show: true },\n            axisLabel: {\n                color: '#999999',\n                formatter: (value: number) => {\n                    let stringRepr = '' + value;\n                    if (stringRepr.length > 6) {\n                        stringRepr = value.toPrecision(5);\n                    }\n                    return stringRepr;\n                }\n            }\n        }];\n\n        return {\n            color: ['#3398DB'],\n            animation: false,\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: {\n                    type: 'shadow'\n                }\n            },\n            grid: { left: 10, top: 10, right: 10, bottom: 10, containLabel: true },\n            xAxis: (isVertical ? catAxis : numAxis) as XAXisComponentOption[],\n            yAxis: (isVertical ? numAxis : catAxis) as YAXisComponentOption[],\n            series: [{\n                type: 'boxplot',\n                tooltip: {\n                    formatter: (param: { dataIndex: number, data: number[] }) => {\n                        return encodeHTML(this.results.axisVariable.name) + ': <b>'\n                            + encodeHTML(labels[param.dataIndex] || '')\n                            + '</b><br>'\n                            + encodeHTML(this.results.aggregatedVariable.name) + ': <br>'\n                            + [\n                                '&bull; 1st percentile: ' + encodeHTML(smarterNumber(param.data[1])),\n                                '&bull; 1st quartile: ' + encodeHTML(smarterNumber(param.data[2])),\n                                '&bull; Median: ' + encodeHTML(smarterNumber(param.data[3])),\n                                '&bull; 3rd quartile: ' + encodeHTML(smarterNumber(param.data[4])),\n                                '&bull; 99th percentile: ' + encodeHTML(smarterNumber(param.data[5]))\n                            ].join('<br/>');\n                    }\n                },\n                data\n            } as SeriesOption]\n        };\n    }\n}\n","<lazy-echart class=\"chart\" [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"options\"\n></lazy-echart>","import { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { MosaicPlotCard } from 'src/generated-sources';\nimport { CustomSeriesOption, EChartsOption, SeriesOption } from 'echarts';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { CardActionType, CardAction } from '@features/eda/worksheet/cards/events';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { encodeHTML } from 'entities';\nimport d3 from 'd3';\nimport { PatternsService } from '@shared/graphics/patterns.service';\n\n// Only draw a label if it is large enough\nconst MIN_DISPLAY_PERCENT_X = 0.15;\nconst MIN_DISPLAY_PERCENT_Y = 0.05;\n\n@Component({\n    selector: 'mosaic-plot-card-body',\n    templateUrl: './mosaic-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './mosaic-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class MosaicPlotCardBodyComponent implements OnChanges {\n    @Input() results: MosaicPlotCard.MosaicPlotCardResult;\n    @Input() params: MosaicPlotCard;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    constructor(\n        private colorsService: ColorsService,\n        private patternsService: PatternsService\n    ) { }\n\n    updateNBins(value: number) {\n        const newParams = {\n            ...this.params,\n            maxValues: value\n        };\n\n        this.action.emit({ type: CardActionType.UPDATE, newParams });\n    }\n\n    chartClicked(event: any) {\n        if (event.componentType === 'series'\n            && event.componentSubType === 'custom') {\n            let flatIndex: number = event.dataIndex;\n            if (this.results.mosaic.highlightedYPercentages) {\n                // Because we have 2 values per tile (highlighted & all)\n                flatIndex = Math.floor(flatIndex / 2);\n            }\n            const yCount = this.results.mosaic.yVals.length;\n            const yIndex = flatIndex % yCount;\n            const xIndex = Math.floor(flatIndex / yCount);\n            let xFilter = this.results.mosaic.xVals[xIndex];\n            xFilter = { ...xFilter, name: this.params.xColumn.name + ': ' + filterName(xFilter) };\n            let yFilter = this.results.mosaic.yVals[yIndex];\n            yFilter = { ...yFilter, name: this.params.yColumn.name + ': ' + filterName(yFilter) };\n\n            this.action.emit({\n                type: CardActionType.HIGHLIGHT,\n                filter: { type: 'and', filters: [xFilter, yFilter] }\n            });\n        }\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.chartOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    buildChartOptions(results: MosaicPlotCard.MosaicPlotCardResult): EChartsOption {\n        const data: any = [];\n        const xTickData: any[] = [];\n        const yTickData: any[] = [];\n        const mosaic = results.mosaic;\n        const xPercentages = mosaic.xPercentages;\n        const yPercentages = mosaic.yPercentages;\n        const xVals = mosaic.xVals;\n        const xLabels = xVals.map(filter => filterName(filter));\n        const yVals = mosaic.yVals;\n        const yLabels = yVals.map(filter => filterName(filter));\n        const xCount = xPercentages.length;\n        const yCount = yPercentages.length / xPercentages.length;\n        let xOffset = 0;\n        let yOffset = 0;\n\n        // data contains an array of array of counts.\n        // the first element in data is an array containing\n        // all the first yBin count of each xBin\n        for (let i = 0; i < xCount; i++) {\n            const x = xPercentages[i];\n            for (let j = 0; j < yCount; j++) {\n                const flatIndex = yCount * i + j;\n                const y = yPercentages[flatIndex];\n                const count = mosaic.counts[flatIndex];\n\n                // use a mark line to show axis label in right position\n                if (i === 0 && y > MIN_DISPLAY_PERCENT_Y) {\n                    yTickData.push({\n                        yAxis: (yOffset * 2 + y) / 2,\n                        lineStyle: {\n                            opacity: 0\n                        },\n                        label: {\n                            show: true,\n                            position: 'start',\n                            formatter: () => yLabels[j],\n                            color: '#333',\n                        }\n                    });\n                }\n\n                yOffset += y;\n\n                const itemColor = this.colorsService.getColorForVariable(yLabels[j]);\n                const borderColor = d3.rgb(itemColor).darker(2).toString();\n\n                if (mosaic.highlightedYPercentages) {\n                    const stripedPattern = this.patternsService.getStripePattern(borderColor, itemColor);\n                    const highlightedY = mosaic.highlightedYPercentages[flatIndex];\n\n                    data.push({\n                        value: [xOffset, x, yOffset, y - highlightedY, i, j, count],\n                        itemStyle: {\n                            color: itemColor,\n                            borderWidth: 1,\n                            borderColor\n                        },\n                        emphasis: { itemStyle: { color: itemColor } }\n                    });\n\n                    data.push({\n                        value: [xOffset, x, yOffset - y + highlightedY, highlightedY, i, j, count],\n                        itemStyle: {\n                            color: stripedPattern as any, // Bad typings\n                            borderWidth: 1,\n                            borderColor\n                        }\n                    });\n                } else {\n                    data.push({\n                        value: [xOffset, x, yOffset, y, i, j, count],\n                        itemStyle: {\n                            color: itemColor,\n                            borderWidth: 1,\n                            borderColor\n                        },\n                        emphasis: { itemStyle: { color: itemColor } }\n                    });\n                }\n            }\n            // use a mark line to show axis label in right position\n            if (x > MIN_DISPLAY_PERCENT_X) {\n                xTickData.push({\n                    xAxis: (xOffset * 2 + x) / 2,\n                    lineStyle: {\n                        opacity: 0\n                    },\n                    label: {\n                        show: true,\n                        position: 'start',\n                        formatter: () => xLabels[i],\n                        color: '#333'\n                    }\n                });\n            }\n            xOffset += x;\n            yOffset = 0;\n        }\n\n        return {\n            animation: false,\n            tooltip: {\n                confine: true,\n                trigger: 'item',\n                axisPointer: { type: 'none' },\n                formatter: (params: any) => {\n                    const xLabel = xLabels[params.value[4]];\n                    const yLabel = yLabels[params.value[5]];\n                    const count = params.value[6];\n                    const percent = Math.round(1000 * count / mosaic.totalCount) / 10;\n\n                    return `\n                        ${encodeHTML(this.params.xColumn.name)}:\n                        <b>${encodeHTML(xLabel)}</b>\n                        <br>\n                        ${encodeHTML(this.params.yColumn.name)}:\n                        <b>${encodeHTML(yLabel)}</b>\n                        <br>\n                        Count: <b>${encodeHTML('' + count)}</b> (${encodeHTML('' + percent)}%)\n                    `;\n                }\n            },\n            grid: { left: 0, top: 0, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                show: false,\n                min: 0,\n                max: 1,\n                position: 'top'\n            }, { // to get automatic padding on bottom\n                data: xLabels,\n                boundaryGap: false,\n                position: 'bottom',\n                axisTick: {\n                    show: false\n                },\n                axisLine: {\n                    show: false,\n                },\n                axisLabel: {\n                    color: 'rgba(0,0,0,0)'\n                }\n            }],\n            yAxis: [{\n                show: false,\n                min: 0,\n                max: 1,\n                position: 'right'\n            }, { // to get automatic padding on left\n                data: yLabels,\n                boundaryGap: false,\n                position: 'left',\n                axisTick: {\n                    show: false\n                },\n                axisLine: {\n                    show: false,\n                },\n                axisLabel: {\n                    color: 'rgba(0,0,0,0)'\n                }\n            }],\n            series: [{\n                type: 'custom',\n                renderItem: (params: any, api: any) => {\n                    const xStart = api.value(0);\n                    const yStart = api.value(2);\n                    const xSize = api.value(1);\n                    const ySize = api.value(3);\n                    const start = api.coord([xStart, yStart]);\n                    const size = api.size([xSize, ySize]);\n\n                    return {\n                        type: 'rect',\n                        shape: {\n                            x: start[0],\n                            y: start[1],\n                            width: size[0],\n                            height: size[1]\n                        },\n                        style: api.style(),\n                        styleEmphasis: api.styleEmphasis()\n                    };\n                },\n                encode: {\n                    x: [0, 1],\n                    y: [2, 3]\n                },\n                markLine: {\n                    silent: true,\n                    data: [...xTickData, ...yTickData]\n                },\n                data\n            } as SeriesOption],\n        };\n    }\n}\n","<lazy-echart\n    class=\"chart\"\n    [options]=\"chartOptions\"\n    [class.chart--fixed-height-tall]=\"hasFixedHeight\"\n    (chartClick)=\"chartClicked($event)\"\n></lazy-echart>\n","import _ from 'lodash';\nimport { Component, Input, Output, EventEmitter, OnChanges, SimpleChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { ScatterPlotCard } from 'src/generated-sources';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { CardAction } from '../../events';\nimport { getChartNumericalAxisMaxTickLength, zipSameSize } from '@features/eda/echarts-utils';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { ColorsService } from '@shared/graphics/colors.service';\n\n@Component({\n    selector: 'scatter-plot-card-body',\n    templateUrl: './scatter-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './scatter-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ScatterPlotCardBodyComponent implements OnChanges {\n    @Input() results: ScatterPlotCard.ScatterPlotCardResult;\n    @Input() params: ScatterPlotCard;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    private readonly DEFAULT_COLOR = '#1E7EFA';\n\n    constructor(private colorsService: ColorsService) {}\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results || changes.params) {\n            this.chartOptions = this.buildChartOptions();\n        }\n    }\n\n    buildChartOptions(): EChartsOption {\n        const { symbolSize } = this.params;\n        const groupNames = this.results.groups.map(it => filterName(it));\n        const isHighlightEnabled = this.results.series.some(it => it.isHighlighted);\n        const hasMultipleSubgroups = this.results.groups.length > 1 || isHighlightEnabled;\n\n        const groupColors: string[] = [];\n        if (hasMultipleSubgroups) {\n            groupNames.forEach(it => {\n                const color = this.colorsService.getColorForVariable(it);\n                groupColors.push(color);\n            });\n        } else {\n            groupColors.push(this.DEFAULT_COLOR);\n        }\n\n        const getPointOpacity = (highlight: boolean) =>\n            (highlight || !isHighlightEnabled) ? 0.6 : 0.2;\n\n        const getLineOpacity = (highlight: boolean) =>\n            (highlight || !isHighlightEnabled) ? 1 : 0.5;\n\n        const legendItems = this.results.series.map(it => {\n            let name = groupNames[it.groupIndex];\n            if (it.isHighlighted) {\n                name += \" (selection)\";\n            } else if (isHighlightEnabled) {\n                name += \" (other)\";\n            }\n\n            return {\n                name,\n                itemStyle: {\n                    opacity: getLineOpacity(it.isHighlighted),\n                },\n            };\n        });\n\n        const allX = _.flatMap(this.results.series, it => it.xSeries);\n        const allY = _.flatMap(this.results.series, it => it.ySeries);\n\n        const minX = _.min(allX) ?? 0;\n        const minY = _.min(allY) ?? 0;\n\n        const maxX = _.max(allX) ?? 0;\n        const maxY = _.max(allY) ?? 0;\n\n        const series: SeriesOption[] = [];\n        this.results.series.forEach((it, i) => {\n            const points = zipSameSize(it.xSeries, it.ySeries);\n            const color = groupColors[it.groupIndex];\n            const opacity = getPointOpacity(it.isHighlighted);\n\n            const scatterSeries: SeriesOption = {\n                name: legendItems[i].name,\n                type: 'scatter',\n                data: points,\n                large: true,\n                silent: true,\n                symbolSize,\n                z: 0,\n                itemStyle: {\n                    color,\n                    opacity,\n                },\n            };\n\n            series.push(scatterSeries);\n\n            if (it.trend != null) {\n                const opacity = getLineOpacity(it.isHighlighted);\n                const { coefs } = it.trend;\n                const line = [\n                    [minX, coefs[0] + coefs[1] * minX],\n                    [maxX, coefs[0] + coefs[1] * maxX]\n                ];\n\n                const trendSeries: SeriesOption = {\n                    name: legendItems[i].name,\n                    data: line,\n                    type: 'line',\n                    symbol: 'none',\n                    silent: true,\n                    lineStyle: {\n                        color,\n                        opacity,\n                    },\n                };\n\n                series.push(trendSeries);\n            }\n        });\n\n        const splitXAxis = 5;\n        const maxTickLength = getChartNumericalAxisMaxTickLength(splitXAxis, minX, maxX);\n        const rotate = maxTickLength > 4 ? 45 : 0;\n\n        return {\n            series,\n            legend: {\n                show: hasMultipleSubgroups,\n                type: 'scroll',\n                data: legendItems,\n            },\n            animation: false,\n            tooltip: {\n                trigger: 'none',\n                axisPointer: {\n                    type: 'cross',\n                }\n            },\n            grid: {\n                left: 0,\n                top: hasMultipleSubgroups ? 30 : 10,\n                right: 0,\n                bottom: 0,\n                containLabel: true,\n            },\n            xAxis: [{\n                type: 'value',\n                min: minX,\n                max: maxX,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: {\n                    color: '#999999',\n                    rotate,\n                    formatter: (value: number) => value === minX || value === maxX ? '' : '' + value\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.xColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            }],\n            yAxis: {\n                type: 'value',\n                min: minY,\n                max: maxY,\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: {\n                    color: '#999999',\n                    formatter: (value: number) => value === minY || value === maxY ? '' : '' + value\n                },\n                axisPointer: {\n                    label: {\n                        formatter: ({ value }: { value: number }) => {\n                            return this.params.yColumn.name + ': ' + smarterNumber(value);\n                        }\n                    }\n                }\n            },\n        };\n    }\n}\n","<lazy-echart class=\"chart\" [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"chartOptions\">\n</lazy-echart>\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Samples</div>\n            <div class=\"card-layout__content\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__title\">{{params.yColumn.name}}</th>\n                            <th class=\"stats-table__title\"></th>\n                            <th class=\"stats-table__title\">Count</th>\n                            <th\n                                class=\"stats-table__title\"\n                                *ngIf=\"isMeanRelevant\"\n                            >\n                                Mean\n                            </th>\n                            <th\n                                class=\"stats-table__head\"\n                                *ngIf=\"isMedianRelevant\"\n                            >\n                                Median\n                            </th>\n                        </tr>\n                        <tr\n                            class=\"stats-table__row\"\n                            *ngFor=\"let rowGroup of results.groups; let rowIdx = index;\"\n                        >\n                            <th class=\"stats-table__head\">{{ rowGroup.filter | filterName }}</th>\n                            <td class=\"stats-table__cell boxplot-cell\">\n                                <embedded-box-plot\n                                    *ngIf=\"rowGroup.boxPlot\"\n                                    [variableName]=\"params.yColumn.name\"\n                                    [boxPlot]=\"rowGroup.boxPlot\"\n                                    [minValue]=\"boxPlotsMin\"\n                                    [maxValue]=\"boxPlotsMax\"\n                                ></embedded-box-plot>\n                            </td>\n                            <td class=\"stats-table__cell stats-table__cell--left\">{{ rowGroup.boxPlot.countComplete }}</td>\n                            <td\n                                class=\"stats-table__cell stats-table__cell--left\"\n                                *ngIf=\"isMeanRelevant\"\n                            >\n                                {{ rowGroup.boxPlot.mean | smarterNumber }}\n                            </td>\n                            <td\n                                class=\"stats-table__cell stats-table__cell--left\"\n                                *ngIf=\"isMedianRelevant\"\n                            >\n                                {{ rowGroup.boxPlot.median | smarterNumber }}\n                            </td>\n                        </tr>\n                    </tbody>\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Total</th>\n                            <td class=\"stats-table__cell boxplot-cell\">\n                                <embedded-box-plot\n                                    *ngIf=\"results.allGroups.boxPlot\"\n                                    [variableName]=\"params.yColumn.name\"\n                                    [boxPlot]=\"results.allGroups.boxPlot\"\n                                    [minValue]=\"boxPlotsMin\"\n                                    [maxValue]=\"boxPlotsMax\"\n                                ></embedded-box-plot>\n                            </td>\n                            <td class=\"stats-table__cell stats-table__cell--left\">{{ results.allGroups.boxPlot.countComplete }}</td>\n                            <td\n                                class=\"stats-table__cell stats-table__cell--left\"\n                                *ngIf=\"isMeanRelevant\"\n                            >\n                                {{ results.allGroups.boxPlot.mean | smarterNumber }}\n                            </td>\n                            <td\n                                class=\"stats-table__cell stats-table__cell--left\"\n                                *ngIf=\"isMedianRelevant\"\n                            >\n                                {{ results.allGroups.boxPlot.median | smarterNumber }}\n                            </td>\n                        </tr>\n                    </tbody>\n                </table>\n            </div>\n        </div>\n\n        <div class=\"card-layout__section card-layout__section--vertical\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    <u>{{ params.xColumn.name }}</u>\n                                    {{ locationParameterName }}s\n                                    are identical in {{ hasTwoSamples ? 'both' : 'all' }} populations\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">{{ testStatisticName }}</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n\n</div>\n\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level, the\n            {{ locationParameterName }} of\n            <u>{{ params.xColumn.name }}</u>\n            is not the same among {{ hasTwoSamples ? 'both' : 'all' }} populations\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether the\n            {{ locationParameterName }} of\n            <u>{{ params.xColumn.name }}</u>\n            is not the same among {{ hasTwoSamples ? 'both' : 'all' }} populations\n        </p>\n    </ng-template>\n</div>\n","import { Component, Input, Output, EventEmitter } from '@angular/core';\nimport { MoodTestNSampCard, OneWayANOVACard, MoodTest2SampCard, TTest2SampCard, isAbstract2SampTestCard } from 'src/generated-sources';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\n\ntype SupportedCard =\n    MoodTestNSampCard\n    | OneWayANOVACard\n    | MoodTest2SampCard\n    | TTest2SampCard;\n\ntype SupportedCardResult =\n    MoodTestNSampCard.MoodTestNSampCardResult\n    | OneWayANOVACard.OneWayANOVACardResult\n    | MoodTest2SampCard.MoodTest2SampCardResult\n    | TTest2SampCard.TTest2SampCardResult;\n\n@Component({\n    selector: 'generic-nsamp-test-card-body',\n    templateUrl: './generic-nsamp-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './generic-nsamp-test-card-body.component.less'\n    ]\n})\nexport class GenericNSampTestCardBodyComponent {\n    @Input() results: SupportedCardResult;\n    @Input() params: SupportedCard;\n    @Output() action = new EventEmitter<CardAction>();\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n\n    get isMedianRelevant() {\n        return this.locationParameterName === 'median';\n    }\n\n    get isMeanRelevant() {\n        return this.locationParameterName === 'mean';\n    }\n\n    get locationParameterName() {\n        switch (this.params.type) {\n            case 'oneway_anova':\n            case 'ttest_2samp':\n                return 'mean';\n            case 'mood_nsamp':\n            case 'mood_test_2samp':\n                return 'median';\n        }\n    }\n\n    get hasTwoSamples() {\n        return isAbstract2SampTestCard(this.params);\n    }\n\n    get testStatisticName() {\n        switch (this.params.type) {\n            case 'oneway_anova':\n                return 'F-value';\n            case 'mood_nsamp':\n            case 'mood_test_2samp':\n                return 'Pearson’s chi-square statistic';\n            case 'ttest_2samp':\n                return '𝘵-statistic';\n        }\n    }\n\n    get boxPlotsMin(): number {\n        return this.results.allGroups.boxPlot.min ?? 0;\n    }\n\n    get boxPlotsMax(): number {\n        return this.results.allGroups.boxPlot.max ?? 0;\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Normal fit</div>\n                <div class=\"card-layout__content density-chart\">\n                    <lazy-echart\n                        [options]=\"densityChartOptions\"\n                    >\n                    </lazy-echart>\n                </div>\n            </div>\n        </div>\n        <div class=\"card-layout__section card-layout__section--vertical\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Summary</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Count</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.countComplete | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ params.column.name }} is normally distributed\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">W test statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level,\n            <u>{{ params.column.name }}</u>\n            is not normally distributed\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether\n            <u>{{ params.column.name }}</u>\n            is not normally distributed\n        </p>\n    </ng-template>\n</div>\n","import { Component, OnInit, Input, OnChanges, SimpleChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { ShapiroNormalityTestCard, IntervalFilter } from 'src/generated-sources';\nimport { CustomSeriesOption, EChartsOption, LineSeriesOption, SeriesOption } from 'echarts';\nimport * as _ from 'lodash';\n\n@Component({\n    selector: 'shapiro-normality-test-card-body',\n    templateUrl: './shapiro-normality-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        '../../../../shared-styles/chart.less',\n        './shapiro-normality-test-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ShapiroNormalityTestCardBodyComponent implements OnChanges {\n    @Input() params: ShapiroNormalityTestCard;\n    @Input() results: ShapiroNormalityTestCard.ShapiroNormalityTestCardResult;\n    densityChartOptions?: EChartsOption;\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.buildDensityChart();\n        }\n    }\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n\n    buildDensityChart() {\n        // Histogram\n        const histogramSeriesData = [];\n        const histogramData = this.results.histogram;\n        const totalCount = _.chain(this.results.histogram.counts).sum().value();\n\n        for (let i = 0; i < histogramData.bins.length; i++) {\n            const bin = histogramData.bins[i] as IntervalFilter;\n            const count = histogramData.counts[i] / (totalCount * (bin.right - bin.left));\n            histogramSeriesData.push({\n                value: [bin.left, bin.right, count],\n                itemStyle: {\n                    color: '#c4dffe',\n                    borderColor: '#c4dffe',\n                    borderWidth: 1\n                }\n            });\n        }\n\n        let maxDensity = _.chain(histogramSeriesData).map(x => x.value).map(2).max().value();\n        const minVal = _.chain(histogramSeriesData).map(x => x.value).map(0).min().value();\n        const maxVal = _.chain(histogramSeriesData).map(x => x.value).map(1).max().value();\n\n        const histogramSeries: CustomSeriesOption = {\n            type: 'custom',\n            renderItem: function (params: any, api: any) {\n                const yValue = api.value(2);\n                const start = api.coord([api.value(0), yValue]);\n                const size = api.size([api.value(1) - api.value(0), yValue]);\n                return {\n                    type: 'rect',\n                    shape: {\n                        x: start[0],\n                        y: start[1],\n                        width: size[0],\n                        height: size[1]\n                    },\n                    style: api.style(),\n                    emphasisStyle: api.style()\n                };\n            },\n            itemStyle: {\n                 color: '#c4dffe', \n                 borderColor: '#c4dffe', \n                 borderWidth: 1\n            },\n            data: histogramSeriesData\n        } as any;\n\n\n        // Density of distributions\n        const pdfPlot = this.results.normalPdf;\n        const seriesData = pdfPlot.xvals.map((x, idx) => [x, pdfPlot.probs[idx]]);\n        maxDensity = Math.max(_.chain(seriesData).map(1).max().value(), maxDensity);\n        const pdfSeries: LineSeriesOption = {\n            type: 'line',\n            yAxisIndex: 0,\n            data: seriesData,\n            symbol: 'none'\n        };\n\n        // Build Echart options\n        this.densityChartOptions = {\n            color: ['#3398DB'],\n            animation: false,\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            xAxis: {\n                type: 'value',\n                min: minVal,\n                max: maxVal,\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: { color: '#999999' }\n            },\n            yAxis: {\n                type: 'value',\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { show: false },\n                splitLine: { show: false },\n                name: 'Density',\n                min: 0,\n                max: maxDensity\n            },\n            series: [pdfSeries, histogramSeries]\n        };\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n        <div class=\"card-layout__section card-layout__section--horizontal\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    <u>{{ params.xColumn.name }}</u>\n                                    and\n                                    <u>{{ params.yColumn.name }}</u>\n                                    are independent\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Chi-square statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Degrees of freedom</th>\n                                <td class=\"stats-table__cell\">{{ results.dof }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__content\">\n                <div class=\"test-conclusion\">\n                    <ng-container *ngIf=\"isRejected else inconclusive\">\n                        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n                            At the given significance level, variables\n                            <u>{{ params.xColumn.name }}</u>\n                            and\n                            <u>{{ params.yColumn.name }}</u>\n                            are not independent\n                        </p>\n                    </ng-container>\n\n                    <ng-template #inconclusive>\n                        <p class=\"test-conclusion__wording\">\n                            At the given significance level, the test is inconclusive about whether variables\n                            <u>{{ params.xColumn.name }}</u>\n                            and\n                            <u>{{ params.yColumn.name }}</u>\n                            are not independent\n                        </p>\n                    </ng-template>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"frequency-table\">\n    <table class=\"stats-table\">\n        <tbody class=\"stats-table__body\">\n            <tr class=\"stats-table__row stats-table__row--colored\">\n                <th class=\"stats-table__head\"></th>\n                <th\n                    *ngFor=\"let x of results.freqTableData.xValues;\"\n                    colspan=\"2\"\n                    class=\"stats-table__head stats-table__head--center\"\n                >\n                    <ng-container *ngIf=\"x.type == 'anum'; else others\">{{ x | filterName }}</ng-container>\n                    <ng-template #others>...</ng-template>\n                </th>\n                <th class=\"stats-table__title stats-table__title--center\">Total</th>\n            </tr>\n            <tr class=\"stats-table__row stats-table__row--colored\">\n                <th class=\"stats-table__head\"></th>\n                <ng-container *ngFor=\"let x of results.freqTableData.xValues;\">\n                    <ng-container *ngIf=\"x.type == 'anum'; else others\">\n                        <th class=\"stats-table__head\">Actual</th>\n                        <th class=\"stats-table__head\">Expected</th>\n                    </ng-container>\n                    <ng-template #others>\n                        <th class=\"stats-table__head\"></th>\n                        <th class=\"stats-table__head\"></th>\n                    </ng-template>\n                </ng-container>\n                <th class=\"stats-table__head\"></th>\n            </tr>\n            <tr class=\"stats-table__row stats-table__row--invisible\"></tr>\n            <tr\n                *ngFor=\"let y of results.freqTableData.yValues; let j = index;\"\n                class=\"stats-table__row\"\n            >\n                <th class=\"stats-table__head stats-table__head--colored\">\n                    <ng-container *ngIf=\"y.type == 'anum'; else others\">{{ y | filterName }}</ng-container>\n                    <ng-template #others>...</ng-template>\n                </th>\n                <ng-container *ngFor=\"let x of results.freqTableData.xValues; let i = index;\">\n                    <ng-container *ngIf=\"y.type == 'anum' && x.type == 'anum'; else others\">\n                        <td class=\"stats-table__cell left-bordered\">\n                            {{ results.freqTableData.counts[results.freqTableData.yValues.length * i + j] }}\n                        </td>\n                        <td\n                            [style.color]=\"cellColors[results.freqTableData.yValues.length * i + j]\"\n                            class=\"stats-table__cell\"\n                        >\n                            {{ results.freqTableData.expectedCounts[results.freqTableData.yValues.length * i + j] | smarterNumber }}\n                        </td>\n                    </ng-container>\n                    <ng-template #others>\n                        <td\n                            colspan=\"2\"\n                            class=\"left-bordered\"\n                        ></td>\n                    </ng-template>\n                </ng-container>\n                <td class=\"stats-table__cell left-bordered\">{{ results.freqTableData.yCounts[j] }}</td>\n            </tr>\n            <tr class=\"stats-table__row\">\n                <th class=\"stats-table__title stats-table__title--colored\">Total</th>\n                <td\n                    *ngFor=\"let x of results.freqTableData.xValues; let i = index;\"\n                    colspan=\"2\"\n                    class=\"stats-table__cell left-bordered\"\n                >\n                    {{ results.freqTableData.xCounts[i] }}\n                </td>\n                <td class=\"stats-table__cell left-bordered\">{{ results.freqTableData.total }}</td>\n            </tr>\n        </tbody>\n    </table>\n</div>\n","import { Component, Input, OnChanges, SimpleChanges } from '@angular/core';\nimport { Chi2IndTestCard } from 'src/generated-sources';\nimport _ from 'lodash';\nimport d3 from 'd3';\n\n@Component({\n    selector: 'chi2-ind-test-card-body',\n    templateUrl: './chi2-ind-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/card-layout.less',\n        '../../../../shared-styles/stats-table.less',\n        './chi2-ind-test-card-body.component.less'\n    ]\n})\nexport class Chi2IndTestCardBodyComponent implements OnChanges {\n    @Input() params: Chi2IndTestCard;\n    @Input() results: Chi2IndTestCard.Chi2IndTestCardResult;\n    cellColors: string[];\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n\n    ngOnChanges(changes: SimpleChanges): void {\n        if (changes.results) {\n            this.rebuildColorScale();\n        }\n    }\n\n    rebuildColorScale() {\n        // Compute how much each cell contributes to the chi2 score\n        const chi2contribution = _.zip(\n            this.results.freqTableData.counts,\n            this.results.freqTableData.expectedCounts\n        ).map(([actual, expected], flatIndex) => {\n            const xIdx = Math.floor(flatIndex / this.results.freqTableData.yValues.length);\n            const yIdx = Math.floor(flatIndex % this.results.freqTableData.yValues.length);\n            // Check if X and Y values are actual values (=> not \"others\")\n            if (this.results.freqTableData.xValues[xIdx].type === 'anum'\n                && this.results.freqTableData.yValues[yIdx].type === 'anum') {\n                return Math.pow(actual! - expected!, 2) / expected!;\n            }\n            // Ignore the difference if one of the axes is \"others\", because we don't display it\n            return 0;\n        });\n        const maxContribution = _.max(chi2contribution) || 0;\n        const colorScale = d3.scale.linear<string>().domain([0, maxContribution]).range(['#888888', '#CC2222']);\n\n        this.cellColors = chi2contribution.map(sqDiff => colorScale(sqDiff));\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section card-layout__section--vertical\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Summary</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Count</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.countComplete }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Sample mean</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.mean | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Sample standard deviation</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.stdDev | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n\n                    <table class=\"stats-table\">\n\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Hypothesized mean</th>\n                                <td class=\"stats-table__cell\">{{ params.hypothesizedMean | smarterNumber }}</td>\n                            </tr>\n                            <tr *ngIf=\"params.knownStdDev != null\">\n                                <th class=\"stats-table__head\">Standard deviation (known)</th>\n                                <td class=\"stats-table__cell\">{{ params.knownStdDev | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n\n                        </tbody>\n                    </table>\n\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <!-- DOF is only relevant for Student's test -->\n                            <tr\n                                *ngIf=\"params.knownStdDev == null\"\n                                class=\"stats-table__row\"\n                            >\n                                <th class=\"stats-table__head\">Degrees of freedom</th>\n                                <td class=\"stats-table__cell\">{{ results.dof }}</td>\n                            </tr>\n\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">\n                                    <ng-container *ngIf=\"params.knownStdDev == null; else ztest\">Student's 𝘵-statistic</ng-container>\n                                    <ng-template #ztest>z-statistic</ng-template>\n                                </th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pvalue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n\n                </div>\n            </div>\n        </div>\n\n        <div class=\"card-layout__section card-layout__section--side\">\n            <div class=\"card-layout__title\">Test statistic distribution</div>\n            <div class=\"card-layout__content tzdistribution\">\n                <lazy-echart\n                    [options]=\"statisticDistributionChartOptions\">\n                </lazy-echart>\n            </div>\n        </div>\n    </div>\n</div>\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level, the population mean of\n            <u>{{ params.column.name }}</u>\n            is different from\n            <u>{{ params.hypothesizedMean | smarterNumber }}</u>\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether the population mean of\n            <u>{{ params.column.name }}</u>\n            is different from\n            <u>{{ params.hypothesizedMean | smarterNumber }}</u>\n        </p>\n    </ng-template>\n</div>\n","import { Component, Input, OnChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { TZTest1SampCard } from 'src/generated-sources';\nconst { jStat } = require('jStat'); // This library is packaged as shit\nimport * as _ from 'lodash';\nimport { EChartsOption } from 'echarts';\nimport { zipSameSize } from '@features/eda/echarts-utils';\n\n@Component({\n    selector: 'tztest1-samp-card-body',\n    templateUrl: './tztest1-samp-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        '../../../../shared-styles/chart.less',\n        './tztest1-samp-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class TZTest1SampCardBodyComponent implements OnChanges {\n    @Input() params: TZTest1SampCard;\n    @Input() results: TZTest1SampCard.TZTest1SampCardResult;\n\n    statisticDistributionChartOptions: EChartsOption;\n\n    ngOnChanges() {\n        let statDistribPdf;\n        if (this.params.knownStdDev != null) {\n            statDistribPdf = (x: number): number => jStat.normal.pdf(x, 0, 1);\n        } else {\n            statDistribPdf = (x: number): number => jStat.studentt.pdf(x, this.results.dof);\n        }\n\n        this.rebuildTZDistributionChart(statDistribPdf, this.results.statistic);\n    }\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n\n    rebuildTZDistributionChart(distribution: (x: number) => number, statistic: number) {\n        const absStatistic = Math.abs(statistic);\n        const xMax = Math.max(absStatistic * 1.2, 6);\n        const xMin = Math.min(-absStatistic * 1.2, -6);\n        const nbPoints = 100;\n\n        const xVals = _.range(0, nbPoints + 1)\n            .map(pos => xMin * (pos / nbPoints) + xMax * (1 - pos / nbPoints));\n        xVals.push(statistic);\n        xVals.push(-statistic);\n        xVals.sort((a, b) => a - b);\n\n        const xValsBefore = xVals.filter(x => x <= -absStatistic);\n        const xValsAfter = xVals.filter(x => x >= absStatistic);\n\n        const yValsBefore = _.map(xValsBefore, x => distribution(x));\n        const yValsAfter = _.map(xValsAfter, x => distribution(x));\n        const yVals = _.map(xVals, x => distribution(x));\n\n        this.statisticDistributionChartOptions = {\n            color: ['#3398DB'],\n            animation: false,\n            tooltip: {\n                trigger: 'item',\n                axisPointer: { type: 'none' }\n            },\n            grid: { left: 0, top: 10, right: 0, bottom: 0, containLabel: true },\n            xAxis: [{\n                type: 'value',\n                axisTick: { show: true },\n                axisLine: { show: true },\n                axisLabel: { color: '#999999' }\n            }],\n            yAxis: {\n                type: 'value',\n                axisLine: { show: false },\n                axisTick: { show: false },\n                axisLabel: { color: '#999999' }\n            },\n            series: [\n                {\n                    type: 'line',\n                    data: zipSameSize(xVals, yVals),\n                    symbol: 'none'\n                },\n                {\n                    type: 'line',\n                    data: zipSameSize(xValsBefore, yValsBefore),\n                    symbol: 'none',\n                    areaStyle: {},\n                    lineStyle: { opacity: 0 },\n                    markLine: {\n                        silent: true,\n                        symbolSize: 0,\n                        label: {\n                            position: 'middle',\n                        },\n                        data: [{\n                            label: 'Oups',\n                            xAxis: this.results.statistic\n                        }] as any\n                    }\n                },\n                {\n                    type: 'line',\n                    data: zipSameSize(xValsAfter, yValsAfter),\n                    symbol: 'none',\n                    areaStyle: {},\n                    lineStyle: { opacity: 0 }\n                },\n\n            ]\n        };\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section card-layout__section--vertical\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Summary</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Count</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.countComplete }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Sample median</th>\n                                <td class=\"stats-table__cell\">{{ results.boxPlot.median | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Hypothesized median</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ params.hypothesizedMedian | smarterNumber }}\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">\n                                    {{ 1 - params.confidenceLevel | smarterNumber }}\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Results</div>\n            <div class=\"card-layout__content\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Count &lt; hypothesized median</th>\n                            <td class=\"stats-table__cell\">{{ results.nbSmaller }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Count &gt; hypothesized median</th>\n                            <td class=\"stats-table__cell\">{{ results.nbLarger }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">\n                                Count = hypothesized median\n                                <span class=\"text-weak\">(ties are ignored)</span>\n                            </th>\n                            <td class=\"stats-table__cell\">\n                                {{ (results.boxPlot.countComplete || 0) - (results.nbLarger + results.nbSmaller) }}\n                            </td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">𝘱-value</th>\n                            <td class=\"stats-table__cell\">\n                                <colored-pvalue\n                                    [pvalue]=\"results.pvalue\"\n                                    [significanceLevel]=\"1 - params.confidenceLevel\"\n                                ></colored-pvalue>\n                            </td>\n                        </tr>\n                    </tbody>\n                </table>\n            </div>\n        </div>\n    </div>\n</div>\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level, the population median of\n            <u>{{ params.column.name }}</u>\n            is different from\n            <u>{{ params.hypothesizedMedian | smarterNumber }}</u>\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether the population median of\n            <u>{{ params.column.name }}</u>\n            is different from\n            <u>{{ params.hypothesizedMedian | smarterNumber }}</u>\n        </p>\n    </ng-template>\n</div>\n","import { Component, Input, ChangeDetectionStrategy } from '@angular/core';\nimport { SignTest1SampCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'sign-test1-samp-card-body',\n    templateUrl: './sign-test1-samp-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './sign-test1-samp-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SignTest1SampCardBodyComponent {\n    @Input() params: SignTest1SampCard;\n    @Input() results: SignTest1SampCard.SignTest1SampCardResult;\n\n    get isRejected() {\n        return this.results.pvalue <= (1 - this.params.confidenceLevel);\n    }\n}\n","import _ from 'lodash';\nimport { ChangeDetectionStrategy } from '@angular/core';\nimport { Component, Input, OnChanges, EventEmitter, Output, SimpleChanges } from '@angular/core';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { CardAction } from '@features/eda/worksheet/cards/events';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { ScatterPlot3DCard } from 'src/generated-sources';\n\n@Component({\n    selector: 'scatter-plot-3d-card-body',\n    templateUrl: './scatter-plot-3d-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './scatter-plot-3d-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ScatterPlot3DCardBodyComponent implements OnChanges {\n    @Input() results: ScatterPlot3DCard.ScatterPlot3DCardResult;\n    @Input() params: ScatterPlot3DCard;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: any;  // No typings for Echarts GL\n\n    private readonly DEFAULT_COLOR = '#1E7EFA';\n\n    constructor(private colorsService: ColorsService) {}\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results || changes.params) {\n            this.chartOptions = this.buildChartOptions();\n        }\n    }\n\n    private buildChartOptions() {\n        const { symbolSize } = this.params;\n\n        const groupNames = this.results.groups.map(it => filterName(it));\n        const isHighlightEnabled = this.results.series3d.some(it => it.isHighlighted);\n\n        const hasMultipleSubgroups = this.results.groups.length > 1 || isHighlightEnabled;\n        const groupColors: string[] = [];\n        if (hasMultipleSubgroups) {\n            groupNames.forEach(it => {\n                const color = this.colorsService.getColorForVariable(it);\n                groupColors.push(color);\n            });\n        } else {\n            groupColors.push(this.DEFAULT_COLOR);\n        }\n\n        const getOpacity = (highlight: boolean) =>\n            (highlight || !isHighlightEnabled) ? 0.6 : 0.2;\n\n        const legendItems = this.results.series3d.map(it => {\n            let name = groupNames[it.groupIndex];\n            if (it.isHighlighted) {\n                name += \" (selection)\";\n            } else if (isHighlightEnabled) {\n                name += \" (other)\";\n            }\n\n            return {\n                name,\n                itemStyle: {\n                    opacity: getOpacity(it.isHighlighted),\n                }\n            };\n        });\n\n        const series = this.results.series3d.map((it, i) => {\n            const zippedSeries = _.zip(\n                it.xSeries,\n                it.ySeries,\n                it.zSeries,\n            );\n\n            return {\n                name: legendItems[i].name,\n                type: 'scatter3D',\n                animation: false,\n                symbolSize,\n                data: zippedSeries,\n                itemStyle: {\n                    opacity: getOpacity(it.isHighlighted),\n                    color: groupColors[it.groupIndex],\n                },\n            };\n        });\n\n        const allX = _.flatMap(this.results.series3d, it => it.xSeries);\n        const allY = _.flatMap(this.results.series3d, it => it.ySeries);\n        const allZ = _.flatMap(this.results.series3d, it => it.zSeries);\n\n        const minX = _.min(allX) ?? 0;\n        const minY = _.min(allY) ?? 0;\n        const minZ = _.min(allZ) ?? 0;\n\n        const maxX = _.max(allX) ?? 0;\n        const maxY = _.max(allY) ?? 0;\n        const maxZ = _.max(allZ) ?? 0;\n\n        return {\n            series,\n            grid3D: {},\n            xAxis3D: {\n                name: this.params.xColumn.name,\n                min: minX,\n                max: maxX,\n                axisLabel: {\n                    formatter: (value: number) =>\n                        value === minX || value === maxX ? '' : '' + value,\n                },\n            },\n            yAxis3D: {\n                name: this.params.yColumn.name,\n                min: minY,\n                max: maxY,\n                axisLabel: {\n                    formatter: (value: number) =>\n                        value === minY || value === maxY ? '' : '' + value,\n                },\n            },\n            zAxis3D: {\n                name: this.params.zColumn.name,\n                min: minZ,\n                max: maxZ,\n                axisLabel: {\n                    formatter: (value: number) =>\n                        value === minZ || value === maxZ ? '' : '' + value,\n                },\n            },\n            legend: {\n                show: hasMultipleSubgroups,\n                type: 'scroll',\n                data: legendItems,\n                orient: 'vertical',\n                right: 10,\n                top: 'middle',\n            }\n        };\n    }\n}\n","<lazy-echart\n    (mousedown)=\"$event.stopPropagation()\"\n    (mousemove)=\"$event.stopPropagation()\"\n    (mouseup)=\"$event.stopPropagation()\"\n    class=\"chart\"\n    [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"chartOptions\">\n</lazy-echart>\n","import { Component, EventEmitter, ChangeDetectionStrategy, OnChanges, Input, Output, SimpleChanges } from '@angular/core';\nimport { getChartNumericalAxisMaxTickLength, zipSameSize } from '@features/eda/echarts-utils';\nimport { CardBodyRenderingMode } from '@features/eda/worksheet/cards/body/rendering-mode';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { EChartsOption, SeriesOption, XAXisComponentOption } from 'echarts';\nimport _ from 'lodash';\nimport { CDFPlotCard, Filter } from 'src/generated-sources';\nimport { CardAction } from '../../events';\n\n@Component({\n    selector: 'cdf-plot-card-body',\n    templateUrl: './cdf-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './cdf-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class CdfPlotCardBodyComponent implements OnChanges {\n    private readonly AXIS_COLOR = '#999999';\n    private readonly DEFAULT_COLOR = '#1E7EFA';\n\n    @Input() results: CDFPlotCard.CDFPlotCardResult;\n    @Input() params: CDFPlotCard;\n    @Output() action = new EventEmitter<CardAction>();\n    @Input() hasFixedHeight: boolean;\n    @Input() renderingMode: CardBodyRenderingMode;\n\n    cdfChartOptions: EChartsOption;\n\n    constructor(public colorsService: ColorsService) {\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.cdfChartOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    buildChartOptions(results: CDFPlotCard.CDFPlotCardResult): EChartsOption {\n        const getGroupColor = (group: Filter) => {\n            if (results.groups.length === 1) {\n                return this.DEFAULT_COLOR;\n            }\n\n            const groupName = filterName(group);\n            return this.colorsService.getColorForVariable(groupName);\n        };\n\n        const getGroupColors = (groups: Filter[]) => {\n            if (results.groups.length === 1) {\n                return [this.DEFAULT_COLOR];\n            }\n\n            return results.groups.map(getGroupColor);\n        };\n\n        const isHighlightEnabled = results.cdfs.some(it => it.isHighlighted);\n        const getOpacity = (highlight: boolean) =>\n            (highlight || !isHighlightEnabled) ? 1 : 0.3;\n\n        const hasMultipleSubgroups = results.groups.length > 1 || isHighlightEnabled;\n        // We choose to hide the legend when the CDF is included in a header card\n        // because the chart area is too small to include the legend area.\n        const showLegend = this.renderingMode === CardBodyRenderingMode.TOP_LEVEL_CARD && hasMultipleSubgroups;\n        const legendItems = results.cdfs.map(it => {\n            const cdfGroup = results.groups[it.groupIndex];\n            let name = filterName(cdfGroup);\n\n            if (it.isHighlighted) {\n                name += \" (selection)\";\n            } else if (isHighlightEnabled) {\n                name += \" (total)\";\n            }\n\n            return {\n                name,\n                itemStyle: {\n                    opacity: getOpacity(it.isHighlighted),\n                }\n            };\n        });\n\n        const buildSeriesOption = (cdfItem: CDFPlotCard.CDFItem, i: number): SeriesOption => {\n            const cdfGroup = results.groups[cdfItem.groupIndex];\n\n            return {\n                name: legendItems[i].name,\n                type: 'line',\n                symbol: 'none',\n                step: 'middle',\n                data: zipSameSize(cdfItem.xvals, cdfItem.probs),\n                lineStyle: {\n                    opacity: getOpacity(cdfItem.isHighlighted),\n                },\n                itemStyle: {\n                    color: getGroupColor(cdfGroup),\n                }\n            };\n        };\n\n        const getXAxis = (): XAXisComponentOption => {\n            const splitXAxis = 5;\n\n            // The xvals are already sorted for CDFs, so extracting the extrema\n            // is easy.\n            const allMin = results.cdfs.map(it => it.xvals[0]);\n            const allMax = results.cdfs.map(it => it.xvals[it.xvals.length - 1]);\n\n            const minX = _.min(allMin) ?? 0;\n            const maxX = _.max(allMax) ?? 0;\n\n            const maxTickLength = getChartNumericalAxisMaxTickLength(splitXAxis, minX, maxX);\n            const rotate = maxTickLength > 4 ? 45 : 0;\n\n            return {\n                type: 'value',\n                scale: true,\n                splitNumber: splitXAxis,\n                min: minX,\n                max: maxX,\n                axisTick: {\n                    show: true,\n                },\n                axisLine: {\n                    show: true,\n                },\n                axisLabel: {\n                    color: this.AXIS_COLOR,\n                    rotate,\n                    formatter: (value: number) =>\n                        value === minX || value === maxX ? '' : '' + value,\n                },\n            };\n        };\n\n        return {\n            series: results.cdfs.map(buildSeriesOption),\n            color: getGroupColors(results.groups),\n            animation: false,\n            legend: {\n                show: showLegend,\n                orient: 'vertical',\n                type: 'scroll',\n                right: 10,\n                bottom: 30,\n                data: legendItems,\n            },\n            tooltip: {\n                trigger: 'none',\n                axisPointer: {\n                    type: 'cross',\n                },\n            },\n            grid: {\n                left: 0,\n                top: 10,\n                right: 0,\n                bottom: 0,\n                containLabel: true,\n            },\n            xAxis: getXAxis(),\n            yAxis: {\n                type: 'value',\n                min: 0,\n                max: 1,\n                axisLine: {\n                    show: false,\n                },\n                axisTick: {\n                    show: false,\n                },\n                axisLabel: {\n                    color: this.AXIS_COLOR,\n                },\n            },\n        };\n    }\n}\n","<lazy-echart class=\"chart\" [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"cdfChartOptions\">\n</lazy-echart>\n","import _ from 'lodash';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { Component, Input, OnChanges, EventEmitter, Output, SimpleChanges, ChangeDetectionStrategy } from '@angular/core';\nimport { filterName } from '@features/eda/pipes/filter-name.pipe';\nimport { ColorsService } from '@shared/graphics/colors.service';\nimport { CardAction } from '../../events';\nimport { ParallelCoordinatesPlotCard, Variable } from 'src/generated-sources';\nimport { encodeHTML } from 'entities';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\n\n// Adapt the width depending on the number of lines to display.\n// This may help when the dataset to display gets very large.\nfunction getLineWidth(nLines: number): number {\n    if (nLines <= 1000) {\n        return 0.5;\n    }\n\n    if (nLines <= 10_000) {\n        return 0.3;\n    }\n\n    return 0.1;\n}\n\n// Adapt the opacity depending on the number of lines to display.\nfunction getLineOpacity(nLines: number, highlight: boolean): number {\n    if (nLines <= 500) {\n        return highlight ? 1 : 0.6;\n    }\n\n    if (nLines <= 1000) {\n        return highlight ? 0.6 : 0.3;\n    }\n\n    return highlight ? 0.3 : 0.1;\n}\n\nfunction getLegendOpacity(highlight: boolean): number {\n    return highlight ? 1 : 0.6;\n}\n\nfunction formatTooltipHtml(columns: Variable[], dataPoint: number[]): string {\n    const lines = [];\n    for (let i = 0; i < columns.length; i++) {\n        const columnName = encodeHTML(columns[i].name);\n        const value = encodeHTML(smarterNumber(dataPoint[i]));\n        lines.push(`${columnName}: <b>${value}</b>`);\n    }\n\n    return lines.join(\"<br>\");\n}\n\n@Component({\n    selector: 'parallel-coordinates-plot-card-body',\n    templateUrl: './parallel-coordinates-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        './parallel-coordinates-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class ParallelCoordinatesPlotCardBodyComponent implements OnChanges {\n    @Input() results: ParallelCoordinatesPlotCard.ParallelCoordinatesPlotCardResult;\n    @Input() params: ParallelCoordinatesPlotCard;\n    @Input() hasFixedHeight: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    chartOptions: EChartsOption;\n\n    private readonly DEFAULT_COLOR = '#1E7EFA';\n    private chart: any;\n\n    constructor(private colorsService: ColorsService) {}\n\n    setChartHandle(chart: any) {\n        this.chart = chart;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.chartOptions = this.buildChartOptions();;\n\n            /*\n             * When the dataset is large the chart does not refresh correctly,\n             * especially when the max number of points is set from a high\n             * number to a low number - in such cases, a lot of lines still\n             * persist on the chart post rendering.\n             *\n             * To cope with this, we grab a handle on the chart instance and\n             * explicitely clear it before rendering.\n             */\n            if (this.chart) {\n                this.chart.clear();\n            }\n        }\n    };\n\n    private buildChartOptions(): EChartsOption {\n        const groupNames = this.results.groups.map(it => filterName(it));\n        const isHighlightEnabled = this.results.parallelCoordinates.some(pc => pc.isHighlighted);\n        const hasMultipleSubgroups = this.results.groups.length > 1;\n        const showLegend = hasMultipleSubgroups || isHighlightEnabled;\n\n        const groupColors: string[] = [];\n        if (hasMultipleSubgroups) {\n            groupNames.forEach(it => {\n                const color = this.colorsService.getColorForVariable(it);\n                groupColors.push(color);\n            });\n        } else {\n            groupColors.push(this.DEFAULT_COLOR);\n        }\n\n        // get total number of lines to display\n        const nLines = _.sumBy(this.results.parallelCoordinates, it => it.columnSeries[0].data.length);\n\n        const legendData = this.results.parallelCoordinates.map(pc => {\n            let name = groupNames[pc.groupIndex];\n            if (pc.isHighlighted) {\n                name += \" (selection)\";\n            } else if (isHighlightEnabled) {\n                name += \" (other)\";\n            }\n\n            const highlight = pc.isHighlighted || !isHighlightEnabled;\n\n            return {\n                name,\n                itemStyle: {\n                    opacity: getLegendOpacity(highlight),\n                },\n            };\n        });\n\n        const series: SeriesOption[] = [];\n        this.results.parallelCoordinates.forEach((pc, i) => {\n            if (pc.columnSeries.length !== this.params.columns.length) {\n                throw new Error(\"Series length is different from the number of columns\")\n            }\n\n            const flattenedSeries = pc.columnSeries.map(it => it.data);\n            const zippedSeries = _.zip(...flattenedSeries) as number[][];\n            const highlight = pc.isHighlighted || !isHighlightEnabled;\n\n            series.push({\n                name: legendData[i].name,\n                type: 'parallel',\n                data: zippedSeries,\n                progressiveChunkMode: \"mod\",\n                lineStyle: {\n                    width: getLineWidth(nLines),\n                    opacity: getLineOpacity(nLines, highlight),\n                    color: groupColors[pc.groupIndex]\n                },\n            });\n        });\n\n        const maxValues: number[] = [];\n        const minValues: number[] = [];\n        for (let i = 0, nColumns = this.params.columns.length; i < nColumns; i++) {\n            const columnSeries = _.flatMap(this.results.parallelCoordinates, it => it.columnSeries[i].data);\n            const minValue = _.min(columnSeries) ?? 0;\n            const maxValue = _.max(columnSeries) ?? 0;\n            minValues.push(minValue);\n            maxValues.push(maxValue);\n        }\n\n        const parallelAxis = this.params.columns.map((column, i) => {\n            return {\n                dim: i,\n                name: column.name,\n                max: maxValues[i],\n                min: minValues[i],\n                axisLabel: {\n                    showMinLabel: false,\n                    showMaxLabel: false,\n                },\n            };\n        });\n\n        const tooltipFormatter = (payload: any): string => {\n            const dataPoint: number[] = payload.value;\n            return formatTooltipHtml(this.params.columns, dataPoint);\n        }\n\n        return {\n            animation: false,\n            series,\n            parallelAxis,\n            legend: {\n                show: showLegend,\n                data: legendData,\n                type: 'scroll',\n                itemGap: 20,\n                bottom: 0,\n            },\n            tooltip: {\n                padding: 10,\n                borderWidth: 1,\n                formatter: tooltipFormatter,\n            },\n            parallel: {\n                right: '10%',\n                parallelAxisDefault: {\n                    type: 'value',\n                    nameGap: 20,\n                    nameLocation: 'end',\n                    realtime: false,\n                    nameTextStyle: {\n                        fontSize: 12\n                    },\n                }\n            }\n        };\n    };\n};\n","<lazy-echart\n    class=\"chart\"\n    [class.chart--fixed-height]=\"hasFixedHeight\"\n    [options]=\"chartOptions\"\n    (chartInit)=\"setChartHandle($event)\"\n>\n</lazy-echart>\n","import { Pipe, PipeTransform } from \"@angular/core\";\n\n// These formats may be ambiguous (what is a year, a month in terms of days?)\n// We use them only to express simple durations (n years, n months)\nconst regex_year = /P(\\d+)Y/;\nconst regex_month = /P(\\d+)M/;\n// The unambiguous format\nconst regex_iso = /P(\\d+)DT(\\d+)H(\\d+)M(\\d+(\\.\\d+)?)S/;\n\nexport function iso8601Duration(isoDuration: string): string {\n    if (isoDuration == null) {\n        return '';\n    }\n\n    const year_match = isoDuration.match(regex_year);\n    if (year_match != null) {\n        const years = Number(year_match[1]);\n        return years === 1 ? '1 year' : `${years} years`;\n    }\n\n    const month_match = isoDuration.match(regex_month);\n    if (month_match != null) {\n        const months = Number(month_match[1]);\n        return months === 1 ? '1 month' : `${months} months`;\n    }\n\n    const match = isoDuration.match(regex_iso);\n    if (match == null) {\n        return '';\n    }\n\n    const days = match[1];\n    const hours = match[2].padStart(2, '0');\n    const minutes = match[3].padStart(2, '0');\n\n    // it may contain ms, µs, ns...\n    const [wholeSeconds, subSeconds] = match[4].split('.');\n    const seconds = subSeconds != null ?\n        wholeSeconds.padStart(2, '0') + \".\" + subSeconds :\n        wholeSeconds.padStart(2, '0');\n\n    const result = `${hours}:${minutes}:${seconds}`;\n    const daysOnly = result === '00:00:00';\n\n    switch (days) {\n        case '0':\n            return result;\n        case '1':\n            return daysOnly ? '1 day' : `1 day ${result}`;\n        default:\n            return daysOnly ? `${days} days` : `${days} days ${result}`;\n    }\n}\n\n@Pipe({\n    name: 'iso8601Duration',\n})\nexport class Iso8601DurationPipe implements PipeTransform {\n    transform(isoDuration: string): string {\n        return iso8601Duration(isoDuration);\n    }\n}\n","<div class=\"card-layout__section\" [qa]=\"'eda-ts-series-summary'\">\n    <div class=\"card-layout__title\">Summary</div>\n    <div class=\"card-layout__content\">\n        <div class=\"card-layout__section card-layout__section--horizontal\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Count</th>\n                                <td class=\"stats-table__cell\">{{ boxPlot.countComplete }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Series mean</th>\n                                <td class=\"stats-table__cell\">{{ boxPlot.mean | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Series standard deviation</th>\n                                <td class=\"stats-table__cell\">{{ boxPlot.stdDev | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Series box plot</th>\n                                <td class=\"stats-table__cell boxplot-cell\">\n                                    <embedded-box-plot\n                                        [variableName]=\"seriesVariableName\"\n                                        [boxPlot]=\"boxPlot\"\n                                    ></embedded-box-plot>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Time variable</th>\n                                <td class=\"stats-table__cell\">{{ timeVariableName }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Min timestamp</th>\n                                <td class=\"stats-table__cell\">{{ minTimestamp }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Max timestamp</th>\n                                <td class=\"stats-table__cell\">{{ maxTimestamp }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">\n                                    Detected time {{ nTimeSteps === 1 ? 'step' : 'steps' }}\n                                </th>\n                                <td class=\"stats-table__cell\" [matTooltip]=\"totalTimeStepsTooltip\">\n                                    {{ timeStepsLabel }}\n                                    <span *ngIf=\"showTimeStepsEllipsis\">…</span>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n","import { ChangeDetectionStrategy, Component, Input } from \"@angular/core\";\nimport { iso8601Duration } from \"@features/eda/pipes/iso8601-duration.pipe\";\nimport { BoxPlotFragment, TimeInfoFragment, TimeStep } from \"src/generated-sources\";\n\nconst { isIsoDurationStep, isBusinessDaysStep } = TimeStep.TimeStepResult;\n\n@Component({\n    selector: 'time-series-summary',\n    templateUrl: './time-series-summary.component.html',\n    styleUrls: [\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './time-series-summary.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class TimeSeriesSummaryComponent {\n    @Input() seriesVariableName: string;\n    @Input() timeVariableName: string;\n    @Input() boxPlot: BoxPlotFragment;\n    @Input() timeInfo: TimeInfoFragment;\n\n    get minTimestamp(): string | undefined {\n        return this.timeInfo.min?.replace('+00:00', 'Z');\n    }\n\n    get maxTimestamp(): string | undefined {\n        return this.timeInfo.max?.replace('+00:00', 'Z');\n    }\n\n    get nTimeSteps(): number {\n        return this.timeInfo.stepInfo?.nSteps ?? 0;\n    }\n\n    get timeStepsLabel(): string {\n        const { stepInfo } = this.timeInfo;\n        if (stepInfo == null || stepInfo.steps.length === 0) {\n            return \"None\";\n        }\n\n        return stepInfo.steps.map(info => {\n            switch (info.type) {\n                case 'business_days_step':\n                    return this.formatBusinessDays(info.weekMask);\n                case 'iso_duration_step':\n                    return iso8601Duration(info.duration);\n            }\n        }).join(', ');\n    }\n\n    private formatBusinessDays(weekMask: string): string {\n        const days: { [key: string]: string } = {\n            \"Mon\": \"Monday\",\n            \"Tue\": \"Tuesday\",\n            \"Wed\": \"Wednesday\",\n            \"Thu\": \"Thursday\",\n            \"Fri\": \"Friday\",\n            \"Sat\": \"Saturday\",\n            \"Sun\": \"Sunday\",\n        };\n\n        const all_days = weekMask.split(\" \").map(it => days[it]);\n        const last_day = all_days.pop();\n        return `Every ${all_days.join(', ')} and ${last_day}`;\n    }\n\n    get totalTimeStepsTooltip(): string | null {\n        const { stepInfo } = this.timeInfo;\n        if (stepInfo == null) {\n            return null;\n        }\n\n        if (stepInfo.nSteps > stepInfo.steps.length) {\n            return `A total of ${stepInfo.nSteps} time steps were detected`;\n        }\n\n        return null;\n    }\n\n    get showTimeStepsEllipsis(): boolean {\n        const { stepInfo } = this.timeInfo;\n        return stepInfo != null && stepInfo.nSteps > stepInfo.steps.length;\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n        <time-series-summary\n            [seriesVariableName]=\"params.seriesColumn.name\"\n            [timeVariableName]=\"params.timeColumn.name\"\n            [boxPlot]=\"results.boxPlot\"\n            [timeInfo]=\"results.timeInfo\"\n        ></time-series-summary>\n\n        <div class=\"card-layout__section card-layout__section--horizontal\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Regression mode</th>\n                                <td class=\"stats-table__cell\">{{ regressionLabel }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    <u>{{ params.seriesColumn.name }}</u>\n                                    <span *ngIf=\"isADF\">\n                                        has a unit root\n                                    </span>\n                                    <span *ngIf=\"isZA\">\n                                        has a unit root with one structural break\n                                    </span>\n                                    <span *ngIf=\"isKPSS\">\n                                        is {{ stationarityLabel }}\n                                    </span>\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">{{ 1 - params.confidenceLevel | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Used lag</th>\n                                <td class=\"stats-table__cell\">{{ usedLagLabel }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">\n                                    <ng-container *ngIf=\"isADF else pvalue\">\n                                        MacKinnon’s approximate 𝘱-value\n                                    </ng-container>\n                                    <ng-template #pvalue>\n                                        𝘱-value\n                                    </ng-template>\n                                </th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pValue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            <span *ngIf=\"isADF\">\n                At the given significance level, the test rejects the presence of a unit root\n                in <u>{{ params.seriesColumn.name }}</u>. It indicates that\n                the series may be {{ stationarityLabel }}.\n            </span>\n            <span *ngIf=\"isZA\">\n                At the given significance level, <u>{{ params.seriesColumn.name }}</u>\n                is {{ stationarityLabel }} with one structural break.\n            </span>\n            <span *ngIf=\"isKPSS\">\n                At the given significance level, <u>{{ params.seriesColumn.name }}</u>\n                is not {{ stationarityLabel }}. It indicates that the series may have a unit root.\n            </span>\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            <span *ngIf=\"isADF\">\n                At the given significance level, the test is inconclusive about whether\n                <u>{{ params.seriesColumn.name }}</u> has a unit root.\n            </span>\n            <span *ngIf=\"isZA\">\n                At the given significance level, the test is inconclusive about whether\n                <u>{{ params.seriesColumn.name }}</u> has a unit root with one structural break.\n            </span>\n            <span *ngIf=\"isKPSS\">\n                At the given significance level, the test is inconclusive about whether\n                <u>{{ params.seriesColumn.name }}</u> is {{ stationarityLabel }}.\n            </span>\n        </p>\n    </ng-template>\n</div>\n","import { ChangeDetectionStrategy, Component, Input } from \"@angular/core\";\nimport { assertNever } from \"dku-frontend-core\";\nimport { isUnitRootTestADFCard, isUnitRootTestKPSSCard, isUnitRootTestZACard, UnitRootTestADF, UnitRootTestCard, UnitRootTestKPSS, UnitRootTestZA } from \"src/generated-sources\";\n\n@Component({\n    selector: 'unit-root-test-card-body',\n    templateUrl: './unit-root-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './unit-root-test-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class UnitRootTestCardBodyComponent {\n    @Input() params: UnitRootTestCard;\n    @Input() results: UnitRootTestCard.UnitRootTestCardResult;\n\n    get isRejected() {\n        return this.results.pValue <= (1 - this.params.confidenceLevel);\n    }\n\n    get isADF(): boolean {\n        return isUnitRootTestADFCard(this.params);\n    }\n\n    get isZA(): boolean {\n        return isUnitRootTestZACard(this.params);\n    }\n\n    get isKPSS(): boolean {\n        return isUnitRootTestKPSSCard(this.params);\n    }\n\n    get regressionLabel(): string {\n        const card = this.params;\n\n        if (isUnitRootTestADFCard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestADF.RegressionMode.CONSTANT_ONLY:\n                    return 'Constant only';\n                case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_TREND:\n                    return 'Constant, linear trend';\n                case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_QUADRATIC_TREND:\n                    return 'Constant, linear and quadratic trend';\n                case UnitRootTestADF.RegressionMode.NO_CONSTANT_NO_TREND:\n                    return 'No constant, no trend';\n            }\n        }\n\n        if (isUnitRootTestZACard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestZA.RegressionMode.CONSTANT_ONLY:\n                    return 'Constant only';\n                case UnitRootTestZA.RegressionMode.TREND_ONLY:\n                    return 'Trend only';\n                case UnitRootTestZA.RegressionMode.CONSTANT_WITH_TREND:\n                    return 'Constant with trend';\n            }\n        }\n\n        if (isUnitRootTestKPSSCard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestKPSS.RegressionMode.CONSTANT:\n                    return \"Constant only\";\n                case UnitRootTestKPSS.RegressionMode.CONSTANT_WITH_TREND:\n                    return \"Constant with trend\";\n            }\n        }\n\n        assertNever(card);\n    }\n\n    get stationarityLabel(): string {\n        const card = this.params;\n\n        if (isUnitRootTestADFCard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestADF.RegressionMode.NO_CONSTANT_NO_TREND:\n                case UnitRootTestADF.RegressionMode.CONSTANT_ONLY:\n                    return \"stationary\";\n\n                case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_TREND:\n                case UnitRootTestADF.RegressionMode.CONSTANT_WITH_LINEAR_QUADRATIC_TREND:\n                    return \"trend stationary\";\n            }\n        }\n\n        if (isUnitRootTestZACard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestZA.RegressionMode.CONSTANT_ONLY:\n                    return \"stationary\";\n\n                case UnitRootTestZA.RegressionMode.TREND_ONLY:\n                case UnitRootTestZA.RegressionMode.CONSTANT_WITH_TREND:\n                    return \"trend stationary\";\n            }\n        }\n\n        if (isUnitRootTestKPSSCard(card)) {\n            switch (card.regressionMode) {\n                case UnitRootTestKPSS.RegressionMode.CONSTANT:\n                    return \"stationary\";\n                case UnitRootTestKPSS.RegressionMode.CONSTANT_WITH_TREND:\n                    return \"trend stationary\";\n            }\n        }\n\n        assertNever(card);\n    }\n\n    get usedLagLabel(): string {\n        if (this.params.nLags == null) {\n            return `${this.results.usedLag} (automatically computed)`;\n        }\n\n        return `${this.results.usedLag} (manually set)`;\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n        <time-series-summary\n            [seriesVariableName]=\"params.seriesColumn.name\"\n            [timeVariableName]=\"params.timeColumn.name\"\n            [boxPlot]=\"results.boxPlot\"\n            [timeInfo]=\"results.timeInfo\"\n        ></time-series-summary>\n\n        <div class=\"card-layout__section card-layout__section--horizontal\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">{{ params.seriesColumn.name }} has no first order autocorrelation</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Threshold for positive serial correlation</th>\n                                <td class=\"stats-table__cell\">&le; 1.5</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Threshold for negative serial correlation</th>\n                                <td class=\"stats-table__cell\">&ge; 2.5</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"test-conclusion\">\n    <p *ngIf=\"hasLikelyPositiveCorrelation\"\n       class=\"test-conclusion__wording test-conclusion__wording--rejected\"\n    >\n        The statistic (&le; 1.5) shows evidence of positive serial correlation\n        in <u>{{ params.seriesColumn.name }}</u>.\n    </p>\n    <p *ngIf=\"hasLikelyNegativeCorrelation\"\n       class=\"test-conclusion__wording test-conclusion__wording--rejected\"\n    >\n        The statistic (&ge; 2.5) shows evidence of negative serial correlation\n        in <u>{{ params.seriesColumn.name }}</u>.\n    </p>\n    <p *ngIf=\"isInconclusive\"\n       class=\"test-conclusion__wording\"\n    >\n        The statistic does not show enough evidence for serial correlation\n        in <u>{{ params.seriesColumn.name }}</u>.\n    </p>\n</div>\n","import { ChangeDetectionStrategy, Component, Input } from \"@angular/core\";\nimport { DurbinWatsonCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'durbin-watson-card-body',\n    templateUrl: './durbin-watson-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './durbin-watson-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class DurbinWatsonCardBodyComponent {\n    @Input() params: DurbinWatsonCard;\n    @Input() results: DurbinWatsonCard.DurbinWatsonCardResult;\n\n    get hasLikelyPositiveCorrelation() {\n        return this.results.statistic < 1.5;\n    }\n\n    get hasLikelyNegativeCorrelation() {\n        return this.results.statistic > 2.5;\n    }\n\n    get isInconclusive() {\n        return !(this.hasLikelyNegativeCorrelation || this.hasLikelyPositiveCorrelation);\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n        <time-series-summary\n            [seriesVariableName]=\"params.seriesColumn.name\"\n            [timeVariableName]=\"params.timeColumn.name\"\n            [boxPlot]=\"results.boxPlot\"\n            [timeInfo]=\"results.timeInfo\"\n        ></time-series-summary>\n\n        <div class=\"card-layout__section card-layout__section--horizontal\">\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Hypothesis</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Tested hypothesis</th>\n                                <td class=\"stats-table__cell\">\n                                    <u>{{ params.seriesColumn.name }}</u>\n                                    has no monotonic trend\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Significance level</th>\n                                <td class=\"stats-table__cell\">{{ 1 - params.confidenceLevel | smarterNumber }}</td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n\n            <div class=\"card-layout__section\">\n                <div class=\"card-layout__title\">Results</div>\n                <div class=\"card-layout__content\">\n                    <table class=\"stats-table\">\n                        <tbody class=\"stats-table__body\">\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Normalized statistic</th>\n                                <td class=\"stats-table__cell\">{{ results.statistic | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">𝘱-value</th>\n                                <td class=\"stats-table__cell\">\n                                    <colored-pvalue\n                                        [pvalue]=\"results.pValue\"\n                                        [significanceLevel]=\"1 - params.confidenceLevel\"\n                                    ></colored-pvalue>\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Kendall Tau</th>\n                                <td class=\"stats-table__cell\">{{ results.tau | smarterNumber }}</td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Slope estimate</th>\n                                <td class=\"stats-table__cell\">\n                                    <span *ngIf=\"results.slope != null\">{{ results.slope | smarterNumber }}</span>\n                                    <span *ngIf=\"results.slope == null\"\n                                        class=\"not-computed\"\n                                        [matTooltip]=\"'Slope is not computed for series larger than 10,000 elements'\"\n                                        [matTooltipPosition]=\"'left'\"\n                                    >\n                                        Not computed\n                                    </span>\n                                </td>\n                            </tr>\n                            <tr class=\"stats-table__row\">\n                                <th class=\"stats-table__head\">Intercept estimate</th>\n                                <td class=\"stats-table__cell\">\n                                    <span *ngIf=\"results.intercept != null\">{{ results.intercept | smarterNumber }}</span>\n                                    <span *ngIf=\"results.intercept == null\"\n                                        class=\"not-computed\"\n                                        [matTooltip]=\"'Intercept is not computed for series larger than 10,000 elements'\"\n                                        [matTooltipPosition]=\"'left'\"\n                                    >\n                                        Not computed\n                                    </span>\n                                </td>\n                            </tr>\n                        </tbody>\n                    </table>\n                </div>\n            </div>\n        </div>\n    </div>\n</div>\n\n<div class=\"test-conclusion\">\n    <ng-container *ngIf=\"isRejected else inconclusive\">\n        <p class=\"test-conclusion__wording test-conclusion__wording--rejected\">\n            At the given significance level,\n            <u>{{ params.seriesColumn.name }}</u> has <b>{{ trendLabel }}</b>.\n        </p>\n    </ng-container>\n\n    <ng-template #inconclusive>\n        <p class=\"test-conclusion__wording\">\n            At the given significance level, the test is inconclusive about whether\n            <u>{{ params.seriesColumn.name }}</u> has no monotonic trend.\n        </p>\n    </ng-template>\n</div>\n","import { ChangeDetectionStrategy, Component, Input } from \"@angular/core\";\nimport { MannKendallTest, MannKendallTestCard } from \"src/generated-sources\";\n\n@Component({\n    selector: 'mann-kendall-test-card-body',\n    templateUrl: './mann-kendall-test-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/test-conclusion.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './mann-kendall-test-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class MannKendallTestCardBodyComponent {\n    @Input() params: MannKendallTestCard;\n    @Input() results: MannKendallTestCard.MannKendallTestCardResult;\n\n    get isRejected(): boolean {\n        return this.results.pValue <= (1 - this.params.confidenceLevel);\n    }\n\n    get trendLabel(): string {\n        switch (this.results.trend) {\n            case MannKendallTest.Trend.NO_TREND:\n                return \"no monotonic trend\";\n            case MannKendallTest.Trend.DECREASING:\n                return \"a decreasing trend\";\n            case MannKendallTest.Trend.INCREASING:\n                return \"an increasing trend\";\n        }\n    }\n}\n","<ng-container *ngIf=\"!params.showSummary\">\n    <ng-container *ngTemplateOutlet=\"correlogram\"></ng-container>\n</ng-container>\n\n<div class=\"card-layout\" *ngIf=\"params.showSummary\">\n    <div class=\"card-layout__section card-layout__section--vertical\">\n\n        <div class=\"card-layout__section\">\n            <ng-container *ngTemplateOutlet=\"correlogram\"></ng-container>\n        </div>\n\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Correlogram</div>\n            <div class=\"card-layout__content\">\n                <table class=\"stats-table\">\n                    <tbody class=\"stats-table__body\">\n                        <tr class=\"stats-table__row\" *ngIf=\"params.isPartial\">\n                            <th class=\"stats-table__head\">Method</th>\n                            <td class=\"stats-table__cell\">{{ methodLabel }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\" *ngIf=\"!params.isPartial\">\n                            <th class=\"stats-table__head\">Adjust for the loss of data</th>\n                            <td class=\"stats-table__cell\">{{ params.adjusted ? 'Yes' : 'No' }}</td>\n                        </tr>\n                        <tr class=\"stats-table__row\">\n                            <th class=\"stats-table__head\">Number of lags</th>\n                            <td class=\"stats-table__cell\">{{ nLagsLabel }}</td>\n                        </tr>\n                    </tbody>\n                </table>\n            </div>\n        </div>\n\n        <time-series-summary\n            class=\"card-layout__section\"\n            [seriesVariableName]=\"params.seriesColumn.name\"\n            [timeVariableName]=\"params.timeColumn.name\"\n            [boxPlot]=\"results.boxPlot\"\n            [timeInfo]=\"results.timeInfo\"\n        ></time-series-summary>\n    </div>\n</div>\n\n<ng-template #correlogram>\n    <lazy-echart\n        class=\"chart\"\n        [class.chart--fixed-height-tall]=\"hasFixedHeight\"\n        [options]=\"acfPlotOptions\">\n    </lazy-echart>\n</ng-template>\n","import { ChangeDetectionStrategy, Component, Input, OnChanges, SimpleChanges } from '@angular/core';\nimport { zipSameSize } from '@features/eda/echarts-utils';\nimport { smarterNumber } from '@shared/pipes/number-pipes/smarter-number.pipe';\nimport { EChartsOption, SeriesOption } from 'echarts';\nimport { encodeHTML } from 'entities';\nimport _ from 'lodash';\nimport { ACFPlotCard, PACF } from 'src/generated-sources';\n\nconst DEFAULT_COLOR = '#1E7EFA';\n\n@Component({\n    selector: 'acf-plot-card-body',\n    templateUrl: './acf-plot-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/chart.less',\n        '../../../../shared-styles/stats-table.less',\n        '../../../../shared-styles/card-layout.less',\n        './acf-plot-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class ACFPlotCardBodyComponent implements OnChanges {\n    @Input() results: ACFPlotCard.ACFPlotCardResult;\n    @Input() params: ACFPlotCard;\n    @Input() hasFixedHeight: boolean;\n\n    acfPlotOptions: EChartsOption;\n\n    get methodLabel(): string | null {\n        const card = this.params;\n\n        if (card.isPartial) {\n            switch (card.pacfMethod) {\n                case PACF.Method.YULE_WALKER:\n                    return 'Yule-Walker';\n                case PACF.Method.OLS:\n                    return 'Regression on lags and on constant';\n                case PACF.Method.OLS_UNBIASED:\n                    return 'Regression on lags using bias adjustment';\n                case PACF.Method.LEVINSON_DURBIN:\n                    return 'Levinson-Durbin recursion';\n            }\n        }\n\n        return null;\n    }\n\n    get nLagsLabel(): string {\n        if (this.params.nLags == null) {\n            return `${this.results.coefficients.length - 1} (automatically computed)`;\n        }\n\n        return `${this.params.nLags} (manually set)`;\n    }\n\n    ngOnChanges(changes: SimpleChanges) {\n        if (changes.results) {\n            this.acfPlotOptions = this.results && this.buildChartOptions(this.results);\n        }\n    }\n\n    buildChartOptions(results: ACFPlotCard.ACFPlotCardResult): EChartsOption {\n        const { coefficients, confidenceIntervals } = results;\n        const size = coefficients.length;\n        const lags = Array.from(Array(size).keys());\n        const mainSeriesData = zipSameSize(lags, coefficients);\n\n        const confIntLowerValues = confidenceIntervals.map((value, i) => value[0] - coefficients[i]);\n        const confIntUpperValues = confidenceIntervals.map((value, i) => value[1] - coefficients[i]);\n        const confIntLags = [...lags];\n\n        // For display we want to skip lag == 0\n        confIntLowerValues.shift();\n        confIntUpperValues.shift();\n        confIntLags.shift();\n\n        // statsmodels does this on its acf plot - I do not know the rationale behind this.\n        // https://github.com/statsmodels/statsmodels/blob/152e27dcc667a423f798810a1b0fee2f6340f73d/statsmodels/graphics/tsaplots.py#L74\n        confIntLags[0] -= 0.5;\n        confIntLags[confIntLags.length - 1] += 0.5;\n\n        const mainSeries: SeriesOption = {\n            type: 'scatter',\n            data: mainSeriesData,\n            itemStyle: {\n                color: DEFAULT_COLOR,\n                opacity: 1,\n            },\n            tooltip: {\n                formatter: (params: any) => {\n                    const lag: number = params.value[0];\n                    const coeff = smarterNumber(coefficients[lag]);\n                    return [\n                        `Lag: <b>${encodeHTML('' + lag)}</b>`,\n                        `Correlation: <b>${encodeHTML(coeff)}</b>`,\n                    ].join('<br>');\n                },\n            },\n        };\n\n        const vLineSeries: SeriesOption = {\n            type: 'line',\n            symbol: 'none',\n            silent: true,\n            lineStyle: {\n                color: DEFAULT_COLOR,\n                width: 2,\n                opacity: 1,\n            },\n            data: _.flatMap(mainSeriesData, (point) => {\n            const [x, y] = point;\n                return [[x, 0], [x, y], '-'];\n            }),\n        };\n\n        const confIntLowerSeries: SeriesOption = {\n            type: 'line',\n            smooth: true,\n            symbol: 'none',\n            silent: true,\n            data: zipSameSize(confIntLags, confIntLowerValues),\n            lineStyle: {\n                width: 0,\n            },\n            areaStyle: {\n                color: DEFAULT_COLOR,\n                opacity: 0.25,\n            }\n        };\n\n        const confIntUpperSeries: SeriesOption = {\n            type: 'line',\n            smooth: true,\n            symbol: 'none',\n            silent: true,\n            data: zipSameSize(confIntLags, confIntUpperValues),\n            lineStyle: {\n                width: 0,\n            },\n            areaStyle: {\n                color: DEFAULT_COLOR,\n                opacity: 0.25,\n            },\n        };\n\n        return {\n            animation: false,\n            series: [\n                confIntUpperSeries,\n                confIntLowerSeries,\n                vLineSeries,\n                mainSeries,\n            ],\n            tooltip: {\n                show: true,\n            },\n            grid: {\n                top: 40,\n                left: 60,\n                bottom: 40,\n                right: 60,\n            },\n            xAxis: {\n                type: 'value',\n                name: 'Lag',\n            },\n            yAxis: {\n                type: 'value',\n                name: 'Correlation',\n            },\n        };\n    }\n}\n","<div class=\"card-layout\">\n    <div class=\"card-layout__section card-layout__section--horizontal\">\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">\n                Computation\n            </div>\n            <div class=\"card-layout__content\">\n                <textarea [readonly]=\"readOnly\" [(ngModel)]=\"rawComputation\">\n                </textarea>\n                <button *ngIf=\"!readOnly\" class=\"btn btn--secondary\" (click)=\"run()\">Run</button>\n            </div>\n        </div>\n        <div class=\"card-layout__section\">\n            <div class=\"card-layout__title\">Result</div>\n            <div class=\"card-layout__content\">\n                <textarea readonly [ngModel]=\"results.errorMessage || results.rawResult\">\n                </textarea>\n            </div>\n        </div>\n    </div>\n</div>","import { Component, ChangeDetectionStrategy, Input, Output, EventEmitter, OnChanges, ChangeDetectorRef } from '@angular/core';\nimport { UntilDestroy, untilDestroyed } from '@ngneat/until-destroy';\nimport { ReplaySubject } from 'rxjs';\nimport { distinctUntilChanged, map } from 'rxjs/operators';\nimport { PlaygroundCard } from 'src/generated-sources';\nimport { CardAction, CardActionType } from '../../events';\n\n@UntilDestroy()\n@Component({\n    selector: 'playground-card-body',\n    templateUrl: './playground-card-body.component.html',\n    styleUrls: [\n        '../../../../shared-styles/card-layout.less',\n        './playground-card-body.component.less'\n    ],\n    changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class PlaygroundCardBodyComponent implements OnChanges {\n    @Input() results: PlaygroundCard.PlaygroundCardResult;\n    @Input() params: PlaygroundCard;\n    @Input() readOnly: boolean;\n    @Output() action = new EventEmitter<CardAction>();\n\n    rawComputation = '';\n    params$ = new ReplaySubject<PlaygroundCard>(1);\n\n    constructor(changeDetectorRef: ChangeDetectorRef) {\n        this.params$.pipe(\n            map(params => params.rawComputation),\n            distinctUntilChanged(),\n            untilDestroyed(this)\n        ).subscribe(rawComputation => {\n            this.rawComputation = rawComputation;\n            changeDetectorRef.markForCheck();\n        });\n    }\n\n    run() {\n        this.action.emit({\n            type: CardActionType.UPDATE,\n            newParams: { ... this.params, rawComputation: this.rawComputation }\n        });\n    }\n\n    ngOnChanges() {\n        this.params$.next(this.params);\n    }\n}\n","import { ProposedCard } from './worksheet/card-wizard/proposed-card/proposed-card.component';\nimport { AutomagicSnifferComponent } from './worksheet/card-wizard/automagic-sniffer/automagic-sniffer.component';\nimport { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { DragDropModule } from '@angular/cdk/drag-drop';\n\nimport { NgxEchartsModule } from 'ngx-echarts';\n\nimport { EdaComponent } from '@features/eda/eda.component';\nimport { ModalsModule } from '@shared/modals/modals.module';\nimport { PipesModule } from '@shared/pipes/pipes.module';\nimport { DataikuWT1Module } from '@core/dataiku-wt1/dataiku-wt1.module';\nimport { WorksheetComponent } from './worksheet/worksheet.component';\nimport { ColumnCardBodyComponent } from './worksheet/cards/body/column-card-body/column-card-body.component';\nimport { HeaderCardBodyComponent } from './worksheet/cards/body/header-card-body/header-card-body.component';\nimport { CategoricalHistogramCardBodyComponent } from './worksheet/cards/body/categorical-histogram-card-body/categorical-histogram-card-body.component';\nimport { GenericSummaryStatsCardBodyComponent } from './worksheet/cards/body/generic-summary-stats-card-body/generic-summary-stats-card-body.component';\nimport { QuantilesTableCardBodyComponent } from './worksheet/cards/body/quantiles-table-card-body/quantiles-table-card-body.component';\nimport { NumericalHistogramCardBodyComponent } from './worksheet/cards/body/numerical-histogram-card-body/numerical-histogram-card-body.component';\nimport { UnivariateFrequencyTableCardBodyComponent } from './worksheet/cards/body/univariate-frequency-table-card-body/univariate-frequency-table-card-body.component';\nimport { BivariateHistogramCardBodyComponent } from './worksheet/cards/body/bivariate-histogram-card-body/bivariate-histogram-card-body.component';\nimport { Fit2DDistributionCardBodyComponent } from './worksheet/cards/body/fit-2d-distribution-card-body/fit-2d-distribution-card-body.component';\nimport { TopLevelCardComponent } from './worksheet/cards/top-level-card/top-level-card.component';\nimport { WorksheetRootCardComponent } from './worksheet/cards/worksheet-root-card/worksheet-root-card.component';\nimport { CardBodyComponent } from './worksheet/cards/card-body/card-body.component';\nimport { GroupedCardBodyComponent } from './worksheet/cards/body/grouped-card-body/grouped-card-body.component';\nimport { GroupedHeaderCardBodyComponent } from './worksheet/cards/body/grouped-header-card-body/grouped-header-card-body.component';\nimport { ColumnTitleComponent } from './worksheet/cards/column-title/column-title.component';\nimport { MatDividerModule } from '@angular/material/divider';\nimport { MatMenuModule } from '@angular/material/menu';\nimport {MatButtonToggleModule} from '@angular/material/button-toggle';\nimport { MatTabsModule } from '@angular/material/tabs';\nimport { MatTooltipModule } from '@angular/material/tooltip';\nimport {MatCheckboxModule} from '@angular/material/checkbox';\nimport { MatProgressBarModule } from '@angular/material/progress-bar';\nimport { MatSelectModule } from '@angular/material/select';\nimport { NgxMatSelectSearchModule } from 'ngx-mat-select-search';\nimport { MatAutocompleteModule } from '@angular/material/autocomplete';\nimport { MatInputModule } from '@angular/material/input';\nimport { CardMenuComponent } from './worksheet/cards/card-menu/card-menu.component';\nimport { FitDistributionCardBodyComponent } from './worksheet/cards/body/fit-distribution-card-body/fit-distribution-card-body.component';\nimport { FitCurveCardBodyComponent } from './worksheet/cards/body/fit-curve-card-body/fit-curve-card-body.component';\nimport { CorrelationMatrixCardBodyComponent } from './worksheet/cards/body/correlation-matrix-card-body/correlation-matrix-card-body.component';\nimport { InViewportModule } from 'ng-in-viewport';\nimport { ComponentsModule } from '@shared/components/components.module';\nimport { NewCardModalComponent } from './worksheet/card-wizard/new-card-modal/new-card-modal.component';\nimport { KsTest2SampCardBodyComponent } from './worksheet/cards/body/ks-test-2samp-card-body/ks-test-2samp-card-body.component';\nimport { GenericPairwiseTestCardBodyComponent } from './worksheet/cards/body/generic-pairwise-test-card-body/generic-pairwise-test-card-body.component';\nimport { FilterNamePipe } from './pipes/filter-name.pipe';\nimport { UnavailableCardBodyComponent } from './worksheet/cards/body/unavailable-card-body/unavailable-card-body.component';\nimport { PCACardBodyComponent } from './worksheet/cards/body/pca-card-body/pca-card-body.component';\nimport { BivariateFrequencyTableCardBodyComponent } from './worksheet/cards/body/bivariate-frequency-table-card-body/bivariate-frequency-table-card-body.component';\nimport { BivariateBoxPlotCardBodyComponent } from './worksheet/cards/body/bivariate-box-plot-card-body/bivariate-box-plot-card-body.component';\nimport { MosaicPlotCardBodyComponent } from './worksheet/cards/body/mosaic-plot-card-body/mosaic-plot-card-body.component';\nimport { ScatterPlotCardBodyComponent } from './worksheet/cards/body/scatter-plot-card-body/scatter-plot-card-body.component';\nimport { WidgetsModule } from '@app/widgets/widgets.module';\nimport { GenericNSampTestCardBodyComponent } from './worksheet/cards/body/generic-nsamp-test-card-body/generic-nsamp-test-card-body.component';\nimport { ShapiroNormalityTestCardBodyComponent } from './worksheet/cards/body/shapiro-normality-test-card-body/shapiro-normality-test-card-body.component';\nimport { Chi2IndTestCardBodyComponent } from './worksheet/cards/body/chi2-ind-test-card-body/chi2-ind-test-card-body.component';\nimport { TZTest1SampCardBodyComponent } from './worksheet/cards/body/tztest1-samp-card-body/tztest1-samp-card-body.component';\nimport { SignTest1SampCardBodyComponent } from './worksheet/cards/body/sign-test1-samp-card-body/sign-test1-samp-card-body.component';\nimport { EditConfidenceLevelSettingsComponent } from './worksheet/edit-confidence-level-settings/edit-confidence-level-settings.component';\nimport { SampleSettingsComponent } from './worksheet/sample-settings/sample-settings.component';\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { HeightEqualizerComponent } from '@shared/directives/height-equalizer/height-equalizer.component';\nimport { SplitBySettingsComponent } from './worksheet/split-by-settings/split-by-settings.component';\nimport { DebugCardModalComponent } from './worksheet/debug-card-modal/debug-card-modal.component';\nimport { DeleteDialogComponent } from './worksheet/delete-dialog/delete-dialog.component';\nimport { InsightCardComponent } from './worksheet/cards/insight-card/insight-card.component';\nimport { CardEditorComponent } from './worksheet/card-wizard/card-editor/card-editor.component';\nimport { DistributionNamePipe } from './pipes/distribution-name.pipe';\nimport { CardHelpComponent } from './worksheet/cards/card-help/card-help.component';\nimport { TZTest1SampCardHelpComponent } from './worksheet/cards/help/tztest1-samp-card-help/tztest1-samp-card-help.component';\nimport { ShapiroNormalityTestCardHelpComponent } from './worksheet/cards/help/shapiro-normality-test-card-help/shapiro-normality-test-card-help.component';\nimport { KsTest2SampCardHelpComponent } from './worksheet/cards/help/ks-test2-samp-card-help/ks-test2-samp-card-help.component';\nimport { SignTest1SampCardHelpComponent } from './worksheet/cards/help/sign-test1-samp-card-help/sign-test1-samp-card-help.component';\nimport { Chi2IndTestCardHelpComponent } from './worksheet/cards/help/chi2-ind-test-card-help/chi2-ind-test-card-help.component';\nimport { GenericSummaryStatsCardConfigComponent } from './worksheet/cards/config/generic-summary-stats-card-config/generic-summary-stats-card-config.component';\nimport { EditCardModalComponent } from './worksheet/card-wizard/edit-card-modal/edit-card-modal.component';\nimport { UnivariateFrequencyTableCardConfigComponent } from './worksheet/cards/config/univariate-frequency-table-card-config/univariate-frequency-table-card-config.component'\nimport { CategoricalHistogramCardConfigComponent } from './worksheet/cards/config/categorical-histogram-card-config/categorical-histogram-card-config.component';\nimport { HeatmapConfigComponent } from './worksheet/cards/config/heatmap-config/heatmap-config.component';\nimport { QuantilesTableCardConfigComponent } from './worksheet/cards/config/quantiles-table-card-config/quantiles-table-card-config.component';\nimport { NumericalHistogramCardConfigComponent } from './worksheet/cards/config/numerical-histogram-card-config/numerical-histogram-card-config.component';\nimport { Abstract2DPivotCardConfigComponent } from './worksheet/cards/config/abstract-2d-pivot-card-config/abstract-2d-pivot-card-config.component';\nimport { BivariateBoxPlotCardConfigComponent } from './worksheet/cards/config/bivariate-box-plot-card-config/bivariate-box-plot-card-config.component';\nimport { RenameWorksheetDialogComponent } from './worksheet/rename-worksheet-dialog/rename-worksheet-dialog.component';\nimport { ScatterPlotCardConfigComponent } from './worksheet/cards/config/scatter-plot-card-config/scatter-plot-card-config.component';\nimport { UnivariateHeaderCardConfigComponent } from './worksheet/cards/config/univariate-header-card-config/univariate-header-card-config.component';\nimport { BivariateHeaderCardConfigComponent } from './worksheet/cards/config/bivariate-header-card-config/bivariate-header-card-config.component';\nimport { MultivariateCardConfigComponent } from './worksheet/cards/config/multivariate-card-config/multivariate-card-config.component';\nimport { ScatterPlot3DCardConfigComponent } from './worksheet/cards/config/scatter-plot-3d-card-config/scatter-plot-3d-card-config.component';\nimport { TZTest1SampCardConfigComponent } from './worksheet/cards/config/tztest1-samp-card-config/tztest1-samp-card-config.component';\nimport { SignTest1SampCardConfigComponent } from './worksheet/cards/config/sign-test1-samp-card-config/sign-test1-samp-card-config.component';\nimport { ShapiroNormalityTestCardConfigComponent } from './worksheet/cards/config/shapiro-normality-test-card-config/shapiro-normality-test-card-config.component';\nimport { Abstract2SampCardConfigComponent } from './worksheet/cards/config/abstract-2-samp-card-config/abstract-2-samp-card-config.component';\nimport { AbstractNSampCardConfigComponent } from './worksheet/cards/config/abstract-n-samp-card-config/abstract-n-samp-card-config.component';\nimport { FitDistributionCardConfigComponent } from './worksheet/cards/config/fit-distribution-card-config/fit-distribution-card-config.component';\nimport { FitCurveCardConfigComponent } from './worksheet/cards/config/fit-curve-card-config/fit-curve-card-config.component';\nimport { Fit2DDistributionCardConfigComponent } from './worksheet/cards/config/fit-2d-distribution-card-config/fit-2d-distribution-card-config.component';\nimport { AbstractPairwiseTestCardConfigComponent } from './worksheet/cards/config/abstract-pairwise-test-card-config/abstract-pairwise-test-card-config.component';\nimport { ListBoxComponent } from './worksheet/card-wizard/list-box/list-box.component';\nimport { ListBoxFormControlComponent } from './worksheet/card-wizard/list-box-form-control/list-box-form-control.component';\nimport { SingleVariableSelectorComponent } from './worksheet/card-wizard/single-variable-selector/single-variable-selector.component';\nimport { Chi2IndTestCardConfigComponent } from './worksheet/cards/config/chi2-ind-test-card-config/chi2-ind-test-card-config.component';\nimport { GenericNSampMoodTestHelpComponent } from './worksheet/cards/help/generic-nsamp-mood-test-help/generic-nsamp-mood-test-help.component';\nimport { OneWayANOVACardHelpComponent } from './worksheet/cards/help/one-way-anova-card-help/one-way-anova-card-help.component';\nimport { GenericNSampTTestCardHelpComponent } from './worksheet/cards/help/generic-nsamp-ttest-card-help/generic-nsamp-ttest-card-help.component';\nimport { ListComparedPopulationsComponent } from './worksheet/cards/fragments/list-compared-populations/list-compared-populations.component';\nimport { ColoredPValueComponent } from './worksheet/cards/fragments/colored-pvalue/colored-pvalue.component';\nimport { CardTitlePipe } from './pipes/card-title.pipe';\nimport { DataikuAPIModule } from '@core/dataiku-api/dataiku-api.module';\nimport { ScrollingModule } from '@angular/cdk/scrolling';\nimport { FilterNiceReprPipe } from './pipes/filter-nice-repr.pipe';\nimport { PartitionSelectionComponent } from './worksheet/partition-selection/partition-selection.component';\nimport { DuplicateWorksheetDialogComponent } from './worksheet/duplicate-worksheet-dialog/duplicate-worksheet-dialog.component';\nimport { BinningConfigComponent } from './worksheet/cards/config/binning-config/binning-config.component';\nimport { ContainerSettingsComponent } from './worksheet/container-settings/container-settings.component';\nimport { ValuesListModule } from '@app/widgets/lists/values-list/values-list.module';\nimport { EditableListModule } from '@app/widgets/lists/editable-list/editable-list.module';\nimport { DkuFrontendCoreModule } from 'dku-frontend-core';\nimport { HighlightSettingsComponent } from './worksheet/highlight-settings/highlight-settings.component';\nimport { WorksheetRedirectionPageComponent } from './pages/worksheet-redirection-page/worksheet-redirection-page.component';\nimport { ScatterPlot3DCardBodyComponent } from './worksheet/cards/body/scatter-plot-3d-card-body/scatter-plot-3d-card-body.component';\nimport { CdfPlotCardBodyComponent } from './worksheet/cards/body/cdf-plot-card-body/cdf-plot-card-body.component';\nimport { ParallelCoordinatesPlotCardBodyComponent } from './worksheet/cards/body/parallel-coordinates-plot-card-body/parallel-coordinates-plot-card-body.component';\nimport { CardPreviewModalComponent } from './worksheet/card-wizard/card-preview-modal/card-preview-modal.component';\nimport { UnitRootTestCardBodyComponent } from './worksheet/cards/body/unit-root-test-card-body/unit-root-test-card-body.component';\nimport { UnitRootTestADFCardHelpComponent } from './worksheet/cards/help/unit-root-test-adf-card-help/unit-root-test-adf-card-help.component';\nimport { UnitRootTestZACardHelpComponent } from './worksheet/cards/help/unit-root-test-za-card-help/unit-root-test-za-card-help.component';\nimport { UnitRootTestKPSSCardHelpComponent } from './worksheet/cards/help/unit-root-test-kpss-card-help/unit-root-test-kpss-card-help.component';\nimport { DurbinWatsonCardBodyComponent } from './worksheet/cards/body/durbin-watson-card-body/durbin-watson-card-body.component';\nimport { DurbinWatsonCardHelpComponent } from './worksheet/cards/help/durbin-watson-card-help/durbin-watson-card-help.component';\nimport { EmbeddedBoxPlotComponent } from './worksheet/cards/fragments/embedded-box-plot/embedded-box-plot.component';\nimport { TimeSeriesCardConfigComponent } from './worksheet/cards/config/time-series-card-config/time-series-card-config.component';\nimport { MannKendallTestCardBodyComponent } from './worksheet/cards/body/mann-kendall-test-card-body/mann-kendall-test-card-body.component';\nimport { MannKendallTestCardHelpComponent } from './worksheet/cards/help/mann-kendall-test-card-help/mann-kendall-test-card-help.component';\nimport { ACFPlotCardBodyComponent } from './worksheet/cards/body/acf-plot-card-body/acf-plot-card-body.component';\nimport { PlaygroundCardBodyComponent } from './worksheet/cards/body/playground-card-body/playground-card-body.component';\nimport { TimeSeriesSummaryComponent } from './worksheet/cards/fragments/time-series-summary/time-series-summary.component';\nimport { Iso8601DurationPipe } from './pipes/iso8601-duration.pipe';\nimport { AcfPlotCardHelpComponent } from './worksheet/cards/help/acf-plot-card-help/acf-plot-card-help.component';\n\n@NgModule({\n    declarations: [\n        EdaComponent,\n        WorksheetComponent,\n        InsightCardComponent,\n        ColumnCardBodyComponent,\n        HeaderCardBodyComponent,\n        CategoricalHistogramCardBodyComponent,\n        GenericSummaryStatsCardBodyComponent,\n        QuantilesTableCardBodyComponent,\n        NumericalHistogramCardBodyComponent,\n        UnivariateFrequencyTableCardBodyComponent,\n        BivariateHistogramCardBodyComponent,\n        BivariateFrequencyTableCardBodyComponent,\n        BivariateBoxPlotCardBodyComponent,\n        Fit2DDistributionCardBodyComponent,\n        TopLevelCardComponent,\n        WorksheetRootCardComponent,\n        CardBodyComponent,\n        GroupedCardBodyComponent,\n        GroupedHeaderCardBodyComponent,\n        ColumnTitleComponent,\n        CardMenuComponent,\n        FitDistributionCardBodyComponent,\n        FitCurveCardBodyComponent,\n        CorrelationMatrixCardBodyComponent,\n        NewCardModalComponent,\n        KsTest2SampCardBodyComponent,\n        GenericPairwiseTestCardBodyComponent,\n        CardTitlePipe,\n        FilterNamePipe,\n        UnavailableCardBodyComponent,\n        PCACardBodyComponent,\n        MosaicPlotCardBodyComponent,\n        ScatterPlotCardBodyComponent,\n        GenericNSampTestCardBodyComponent,\n        ShapiroNormalityTestCardBodyComponent,\n        Chi2IndTestCardBodyComponent,\n        TZTest1SampCardBodyComponent,\n        SignTest1SampCardBodyComponent,\n        EditConfidenceLevelSettingsComponent,\n        SampleSettingsComponent,\n        HeightEqualizerComponent,\n        SplitBySettingsComponent,\n        DebugCardModalComponent,\n        DeleteDialogComponent,\n        CardEditorComponent,\n        HeatmapConfigComponent,\n        DistributionNamePipe,\n        CardHelpComponent,\n        TZTest1SampCardHelpComponent,\n        ShapiroNormalityTestCardHelpComponent,\n        KsTest2SampCardHelpComponent,\n        SignTest1SampCardHelpComponent,\n        Chi2IndTestCardHelpComponent,\n        GenericSummaryStatsCardConfigComponent,\n        EditCardModalComponent,\n        CategoricalHistogramCardConfigComponent,\n        UnivariateFrequencyTableCardConfigComponent,\n        QuantilesTableCardConfigComponent,\n        NumericalHistogramCardConfigComponent,\n        Abstract2DPivotCardConfigComponent,\n        BivariateBoxPlotCardConfigComponent,\n        RenameWorksheetDialogComponent,\n        ScatterPlotCardConfigComponent,\n        UnivariateHeaderCardConfigComponent,\n        BivariateHeaderCardConfigComponent,\n        MultivariateCardConfigComponent,\n        ScatterPlot3DCardConfigComponent,\n        TZTest1SampCardConfigComponent,\n        SignTest1SampCardConfigComponent,\n        ShapiroNormalityTestCardConfigComponent,\n        Abstract2SampCardConfigComponent,\n        AbstractNSampCardConfigComponent,\n        FitDistributionCardConfigComponent,\n        FitCurveCardConfigComponent,\n        Fit2DDistributionCardConfigComponent,\n        AbstractPairwiseTestCardConfigComponent,\n        ListBoxComponent,\n        ListBoxFormControlComponent,\n        SingleVariableSelectorComponent,\n        Chi2IndTestCardConfigComponent,\n        GenericNSampMoodTestHelpComponent,\n        OneWayANOVACardHelpComponent,\n        GenericNSampTTestCardHelpComponent,\n        ListComparedPopulationsComponent,\n        ColoredPValueComponent,\n        CardTitlePipe,\n        FilterNiceReprPipe,\n        PartitionSelectionComponent,\n        DuplicateWorksheetDialogComponent,\n        BinningConfigComponent,\n        ContainerSettingsComponent,\n        HighlightSettingsComponent,\n        WorksheetRedirectionPageComponent,\n        AutomagicSnifferComponent,\n        ScatterPlot3DCardBodyComponent,\n        CdfPlotCardBodyComponent,\n        ParallelCoordinatesPlotCardBodyComponent,\n        CardPreviewModalComponent,\n        ProposedCard,\n        UnitRootTestCardBodyComponent,\n        UnitRootTestADFCardHelpComponent,\n        UnitRootTestZACardHelpComponent,\n        UnitRootTestKPSSCardHelpComponent,\n        DurbinWatsonCardBodyComponent,\n        DurbinWatsonCardHelpComponent,\n        EmbeddedBoxPlotComponent,\n        TimeSeriesCardConfigComponent,\n        TimeSeriesSummaryComponent,\n        MannKendallTestCardBodyComponent,\n        MannKendallTestCardHelpComponent,\n        AcfPlotCardHelpComponent,\n        ACFPlotCardBodyComponent,\n        PlaygroundCardBodyComponent,\n        Iso8601DurationPipe,\n    ],\n    entryComponents: [\n        NewCardModalComponent,\n        EditCardModalComponent,\n        DebugCardModalComponent,\n        DeleteDialogComponent,\n        DuplicateWorksheetDialogComponent,\n        RenameWorksheetDialogComponent,\n        HeatmapConfigComponent\n    ],\n    exports: [EdaComponent],\n    imports: [\n        BrowserAnimationsModule,\n        ComponentsModule,\n        CommonModule,\n        DragDropModule,\n        FormsModule,\n        InViewportModule,\n        ModalsModule,\n        MatMenuModule,\n        MatTooltipModule,\n        MatDividerModule,\n        MatTabsModule,\n        MatCheckboxModule,\n        MatProgressBarModule,\n        MatAutocompleteModule,\n        MatInputModule,\n        MatSelectModule,\n        NgxMatSelectSearchModule,\n        PipesModule,\n        WidgetsModule,\n        ReactiveFormsModule,\n        DataikuAPIModule,\n        DataikuWT1Module,\n        ScrollingModule,\n        ValuesListModule,\n        EditableListModule,\n        MatButtonToggleModule,\n        DkuFrontendCoreModule,\n        NgxEchartsModule.forRoot({\n            echarts: () => import('echarts'),\n        }),\n    ]\n})\nexport class EdaModule { }\n","import { Injectable, Inject } from '@angular/core';\nimport { Observable, defer, from } from 'rxjs';\nimport { map } from 'rxjs/operators';\n\nimport { DkuHttpService, HttpVerb } from 'dku-frontend-core';\n\nimport { EnrichedPromise } from '@core/dataiku-api/utils/enriched-promise';\nimport { realAny, Assert } from 'dku-frontend-core';\nimport { upgradePromiseCatchError } from '@core/dataiku-api/api-error';\n\nexport interface BackendResponse<T> {\n    data: T;\n    config: HttpConfig;\n    headers: any;\n}\n\nexport interface HttpConfig {\n    url: string;\n    method: HttpVerb;\n    headers: any;\n    params: any;\n    paramSerializer: Function;\n    transformRequest: Function;\n    xsrfCookieName: string;\n}\n\n/**\n * Implementation of DkuHttpService which falls back into AngularJS 'APIXHRService'\n */\n@Injectable({ providedIn: 'root' })\nexport class DkuLegacyHttpService extends DkuHttpService {\n    private API_PATH = '/dip/api';\n\n    constructor(@Inject('APIXHRService') private APIXHRService: any) {\n        super();\n    }\n\n    public request<T>(method: HttpVerb, path: string, params?: object): Observable<T> {\n        // defer() ensures we get a new promise at every subscription\n        // ('from(promise)' would not work because the promise would not re-evaluated)\n        return defer(() => {\n            // Rely on AngularJS layer\n            const legacyPromise: EnrichedPromise<BackendResponse<T>> =\n                this.APIXHRService(method, this.API_PATH + path, this.stringifyParams(params || {}), 'nospinner');\n            // Upgrade promise to play well with ZoneJS\n            const upgradedPromise = upgradePromiseCatchError(legacyPromise);\n            // Convert into observable\n            return from(upgradedPromise).pipe(map(resp => resp.data));\n        });\n    }\n\n    private stringifyParams(params: realAny): object {\n        Assert.trueish(params, 'Empty params object in private API'); // individual params may be nullish but we do want params object\n        const ret: realAny = {};\n        Object.keys(params).forEach(key => {\n            const value = params[key];\n            if (typeof value === 'object') {\n                ret[key] = JSON.stringify(value);\n            } else {\n                ret[key] = value;\n            }\n        });\n        return ret;\n    }\n}\n","// $q promise\nexport interface EnrichedPromise<T> extends Promise<T> {\n    success(x: (data: any, status: number, headers: any) => void): EnrichedPromise<T>;\n    update(x: (data: any, status: number, headers: any) => void): EnrichedPromise<T>;\n    error(x: (data: any, status: number, headers: any) => void): EnrichedPromise<T>;\n}\n\n/**\n * In short: make Angular2+ code work properly with promises returned by AngularJS's $q\n *\n * Here is why:\n * - AngularJS uses $q for promises: this is different than the standard/native \"Promise\"\n * - Angular2+ relies on ZoneJS to trigger change detection when appropriate\n * - ZoneJS works by monkey-patching all browser APIs including \"Promise\", but does NOT know about $q\n * - $q promises may be resolved outside the Angular zone\n * - Callbacks are not called in the Angular zone\n * - Angular2+ change detection is not run\n *\n * How it works:\n * - This helper replaces the (unpatched) $q promise by a native (patched) promise\n *\n * Notes:\n * - Update notifications are lost (it's a $q extension)\n * - Using 'UpgradeModule' alleviates the need for this fix because it syncs Angular 1 & 2 change detections\n *   BUT it also incurs a much larger overhead: this is the reason why we are doing this\n */\nexport function upgradePromise<T>(qPromise: EnrichedPromise<T>): Promise<T> {\n    return Promise.resolve(qPromise);\n}\n","import { PipesModule } from '@shared/pipes/pipes.module';\nimport { MatTooltipModule } from '@angular/material/tooltip';\nimport { MatOptionModule } from '@angular/material/core';\nimport { MatFormFieldModule } from '@angular/material/form-field';\nimport { MatInputModule } from '@angular/material/input';\nimport { MatAutocompleteModule } from '@angular/material/autocomplete';\nimport { NgModule } from '@angular/core';\nimport { FormsModule, ReactiveFormsModule } from '@angular/forms';\nimport { CommonModule } from '@angular/common';\nimport { EditTypeaheadComponent } from './edit-typeahead-input.component';\nimport { DowngradedEditTypeaheadInputComponent } from './downgraded/downgraded-edit-typeahead-input.component';\n\n\n@NgModule({\n    declarations: [\n        EditTypeaheadComponent,\n        DowngradedEditTypeaheadInputComponent\n    ],\n    imports: [\n        CommonModule,\n        FormsModule,\n        ReactiveFormsModule,\n        MatAutocompleteModule,\n        MatInputModule,\n        MatFormFieldModule,\n        MatOptionModule,\n        MatTooltipModule,\n        PipesModule\n    ],\n    exports: [ EditTypeaheadComponent ],\n    entryComponents: [ DowngradedEditTypeaheadInputComponent ]\n})\nexport class EditTypeAheadModule { }\n","<div [style.height]=\"imageHeight + 'px'\" class=\"w100\">\n    <div class=\"augmented-images-container\">\n        <div class=\"augmented-images\" *ngIf=\"augmentedImages$ | async as augmentedImages\">\n            <div [style.height]=\"imageHeight + 'px'\" class=\"augmented-image\" [class.multiple-line-images]=\"numAugmentedVersions > 3\"\n                 *ngFor=\"let augmentedImage of augmentedImages\">\n                <img *ngIf=\"(showAugmentedVersions$ | async) && !augmentedImage?.failed\"\n                     [src]=\"'data:image/png;base64,' + augmentedImage.imgDataAsBase64\">\n                <image-placeholder *ngIf=\"!(showAugmentedVersions$ | async) || (!augmentedImage || augmentedImage.failed)\"\n                                   [hasLoaded]=\"!(loadingAugmentedImg$ | async)\" \n                                   [size]=\"imageHeight\"\n                                   [noImageMessage]=\"(disabledAugmentation$ | async) ? 'Augmentation disabled': 'Augmentation failed'\">\n                </image-placeholder>\n            </div>\n        </div>\n        <div *ngIf=\"!(disabledAugmentation$ | async) && (legend?.length > 0)\" class=\"augmented-image__legend\">\n            {{legend}}\n        </div>\n    </div>\n</div>","import { ChangeDetectionStrategy, Component, Input, OnInit } from \"@angular/core\";\nimport { UntilDestroy, untilDestroyed} from \"@ngneat/until-destroy\";\nimport { BehaviorSubject, combineLatest, concat, identity, Observable } from \"rxjs\";\nimport { debounceTime, distinctUntilKeyChanged, map, skip, take } from \"rxjs/operators\";\nimport { DataAugmentationService, DeepHubPreTrainModelingParams } from \"src/generated-sources\";\nimport { ObservableInput } from 'observable-input';\nimport { AugmentationTypeInfo } from \"../deephub-design-data-augmentation.component\";\nimport { DataAugmentationFetchingService } from \"../data-augmentation.service\";\nimport { isEqual } from \"lodash\";\n\n@UntilDestroy()\n@Component({\n    selector: 'deephub-design-data-augmentation-augmented-image',\n    templateUrl: './deephub-design-data-augmentation-augmented-image.component.html',\n    styleUrls: ['./deephub-design-data-augmentation-augmented-image.component.less'],\n    changeDetection: ChangeDetectionStrategy.OnPush,\n})\nexport class DeephubDesignDataAugmentationAugmentedImageComponent implements OnInit {\n\n    @Input() augmentationTypeInfo: AugmentationTypeInfo;\n    @Input() applyMaxTransform: boolean = false;\n    @Input() legend: String = \"\";\n    @Input() numAugmentedVersions: number;\n    @Input() imageHeight: number;\n    @Input(\"imagePath\") @ObservableInput() imagePath$: Observable<string>;\n    @Input(\"augmentationParams\") @ObservableInput() augmentationParams$: Observable<DeepHubPreTrainModelingParams.ImageAugmentationParams>;\n    @Input() managedFolderSmartId: string;\n\n    loadingAugmentedImg$ = new BehaviorSubject<boolean>(true);\n    failedToAugment$ = new BehaviorSubject<boolean>(false);\n    disabledAugmentation$ = new BehaviorSubject<boolean>(false);\n    augmentedImages$: BehaviorSubject<DataAugmentationService.AugmentedImage[]>;\n    showAugmentedVersions$ : Observable<boolean>;\n\n    constructor(private dataAugmentationFetchingService: DataAugmentationFetchingService) {}\n\n    isDisabled(augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams) {\n        if (!this.augmentationTypeInfo) {\n            return false;\n        }\n        return this.augmentationTypeInfo.isDisabled(augmentationParams);\n    }\n\n    fetchAugmentedImagesData(imagePath: string, augmentationParams: DeepHubPreTrainModelingParams.ImageAugmentationParams) {\n\n        if (this.isDisabled(augmentationParams)) {\n            this.disabledAugmentation$.next(true);\n            this.loadingAugmentedImg$.next(false);\n        } else {\n            this.disabledAugmentation$.next(false);\n            this.loadingAugmentedImg$.next(true);\n\n            this.dataAugmentationFetchingService.fetchAugmentedImagesData(imagePath, augmentationParams,\n                this.numAugmentedVersions, this.applyMaxTransform, this.augmentationTypeInfo?.augmentationType).subscribe((augmentedImages) => {\n                    this.loadingAugmentedImg$.next(false);\n                    this.augmentedImages$.next(augmentedImages);\n                    this.failedToAugment$.next(false);\n                });\n        }\n\n    }\n\n    ngOnInit(): void {\n        this.augmentedImages$ = new BehaviorSubject<DataAugmentationService.AugmentedImage[]>(new Array(this.numAugmentedVersions));\n\n        this.dataAugmentationFetchingService.getError().pipe(\n            untilDestroyed(this)).subscribe((error) => {\n                if (error !== undefined) {\n                    this.failedToAugment$.next(true);\n                    this.loadingAugmentedImg$.next(false);\n                }\n        });\n\n        // Only forward changes in augmentation params if it concerns the augmentation type\n        const augmentationParamsIfChanged$ = this.augmentationParams$.pipe(\n            this.augmentationTypeInfo ? distinctUntilKeyChanged(this.augmentationTypeInfo.getKeyOfAugmentationParams(), isEqual): identity);\n\n        // Debounce all changes in augmentation params except the first one, to prevent from calling\n        // the backend each time a control changes.\n        const debouncedAugmentationParams$ = concat(\n            augmentationParamsIfChanged$.pipe(take(1)),\n            augmentationParamsIfChanged$.pipe(skip(1), debounceTime(300))\n        );\n\n        combineLatest([\n            debouncedAugmentationParams$,\n            this.imagePath$]).pipe(untilDestroyed(this)).subscribe(([augmentationParams, imagePath]) => {\n                this.fetchAugmentedImagesData(imagePath, augmentationParams);\n        });\n\n        this.showAugmentedVersions$ = combineLatest([\n            this.loadingAugmentedImg$,\n            this.failedToAugment$,\n            this.disabledAugmentation$\n        ]).pipe(\n            map(([loadingAugmentedImg, failedToAugment, disabledAugmentation]) => {\n                return !loadingAugmentedImg && !failedToAugment && !disabledAugmentation;\n            }));\n    }\n}\n","import { NgModule } from \"@angular/core\";\nimport { FormsModule, ReactiveFormsModule } from \"@angular/forms\";\nimport { WidgetsModule } from \"@app/widgets/widgets.module\";\nimport { ComponentsModule } from \"@shared/components/components.module\";\nimport { DeephubDesignImageFeedComponent } from \"./computer-vision/design/image-feed/deephub-design-image-feed.component\";\nimport { BrowserModule } from \"@angular/platform-browser\";\nimport { DeephubImageDetailsComponent } from './shared-components/deephub-image-details/deephub-image-details.component';\nimport { PipesModule } from \"@shared/pipes/pipes.module\";\nimport { DeephubObjectDetectionReportComponent } from './object-detection/report/deephub-object-detection-report.component';\nimport { DeephubObjectDetectionReportPrecisionRecallChartComponent } from './object-detection/report/precision-recall-chart/deephub-object-detection-report-precision-recall-chart.component';\nimport { DeephubObjectDetectionReportConfusionMatrixComponent } from './object-detection/report/confusion-matrix/deephub-object-detection-report-confusion-matrix.component';\nimport { DeephubObjectDetectionReportImageFeedComponent } from './object-detection/report/image-feed/deephub-object-detection-report-image-feed.component';\nimport { DeephubObjectDetectionReportImageFeedModalComponent } from './object-detection/report/image-feed-modal/deephub-object-detection-report-image-feed-modal.component';\nimport { DeephubObjectDetectionReportImageLegendComponent } from './object-detection/report/image-legend/deephub-object-detection-report-image-legend.component';\nimport { DeephubImageClassificationReportComponent } from './image-classification/report/deephub-image-classification-report.component';\nimport { DeephubImageClassificationReportConfusionMatrixComponent } from './image-classification/report/confusion-matrix/deephub-image-classification-report-confusion-matrix.component';\nimport { DeephubImageClassificationReportImageFeedComponent } from './image-classification/report/image-feed/deephub-image-classification-report-image-feed.component';\nimport { DeephubImageClassificationReportImageFeedModalComponent } from './image-classification/report/image-feed-modal/deephub-image-classification-report-image-feed-modal.component';\nimport { DeephubImageClassificationReportImageLegendComponent } from './image-classification/report/image-legend/deephub-image-classification-report-image-legend.component';\nimport { NgxEchartsModule } from \"ngx-echarts\";\nimport { DeephubObjectDetectionReportPairListComponent } from './object-detection/report/pair-list/deephub-object-detection-report-pair-list.component';\nimport { DeephubDesignImageFeedModalComponent } from './computer-vision/design/image-feed-modal/deephub-design-image-feed-modal.component';\nimport { DeephubImageClassificationDesignImageFeedComponent } from \"./image-classification/design/image-feed-provider/deephub-image-classification-design-image-feed.component\";\nimport { DeephubObjectDetectionDesignImageFeedComponent } from \"./object-detection/design/image-feed-provider/deephub-object-detection-design-image-feed.component\";\nimport { MatTooltipModule } from '@angular/material/tooltip';\nimport { DeephubDesignDataAugmentationComponent } from \"./computer-vision/design/data-augmentation/deephub-design-data-augmentation.component\";\nimport { DeephubDesignDataAugmentationAugmentedImageComponent } from \"./computer-vision/design/data-augmentation/augmented-image/deephub-design-data-augmentation-augmented-image.component\";\nimport { DataikuAPIModule } from \"@core/dataiku-api/dataiku-api.module\";\n\n@NgModule({\n    declarations: [\n        DeephubImageClassificationDesignImageFeedComponent,\n        DeephubObjectDetectionDesignImageFeedComponent,\n        DeephubDesignDataAugmentationComponent,\n        DeephubDesignDataAugmentationAugmentedImageComponent,\n        DeephubDesignImageFeedComponent,\n        DeephubImageDetailsComponent,\n        DeephubObjectDetectionReportComponent,\n        DeephubObjectDetectionReportPrecisionRecallChartComponent,\n        DeephubObjectDetectionReportConfusionMatrixComponent,\n        DeephubObjectDetectionReportImageFeedComponent,\n        DeephubObjectDetectionReportImageFeedModalComponent,\n        DeephubObjectDetectionReportImageLegendComponent,\n        DeephubObjectDetectionReportPairListComponent,\n        DeephubImageClassificationReportComponent,\n        DeephubImageClassificationReportConfusionMatrixComponent,\n        DeephubImageClassificationReportImageFeedComponent,\n        DeephubImageClassificationReportImageFeedModalComponent,\n        DeephubImageClassificationReportImageLegendComponent,\n        DeephubDesignImageFeedModalComponent,\n    ],\n    exports: [],\n    entryComponents: [\n        DeephubDesignImageFeedModalComponent,\n        DeephubObjectDetectionReportImageFeedModalComponent\n    ],\n    imports: [\n        BrowserModule,\n        DataikuAPIModule,\n        FormsModule,\n        ReactiveFormsModule,\n        ComponentsModule,\n        WidgetsModule,\n        PipesModule,\n        NgxEchartsModule.forRoot({\n            echarts: () => import('echarts'),\n        }),\n        MatTooltipModule\n    ]\n})\n\nexport class DeephubModule {}\n","import { NgModule } from '@angular/core';\nimport { CommonModule } from '@angular/common';\nimport { UiViewDirective } from '@migration/ui-view/ui-view.component';\nimport { MarkdownDirective } from './markdown/markdown.directive';\nimport { AngularJSAutocompletableTextareaDirective } from './markdown/angularjs-autocompletable-textarea.directive';\nimport { AutocompletableTextareaComponent } from './markdown/autocompletable-textarea.component';\n\n@NgModule({\n    imports: [\n        CommonModule\n    ],\n    declarations: [\n        UiViewDirective,\n        MarkdownDirective,\n        AngularJSAutocompletableTextareaDirective,\n        AutocompletableTextareaComponent,\n    ],\n    exports: [\n        UiViewDirective,\n        MarkdownDirective,\n        AutocompletableTextareaComponent,\n    ],\n})\nexport class MigrationModule { }\n","import { NgModule } from \"@angular/core\";\nimport { FormsModule } from \"@angular/forms\";\nimport { MatDialogModule } from \"@angular/material/dialog\";\nimport { MatMenuModule } from \"@angular/material/menu\";\nimport { MatSelectModule } from \"@angular/material/select\";\nimport { MatTabsModule } from \"@angular/material/tabs\";\nimport { BrowserModule } from \"@angular/platform-browser\";\nimport { WidgetsModule } from \"@app/widgets/widgets.module\";\nimport { MigrationModule } from \"@migration/migration.module\";\nimport { ComponentsModule } from \"@shared/components/components.module\";\nimport { ModalsModule } from \"@shared/modals/modals.module\";\nimport { PipesModule } from \"@shared/pipes/pipes.module\";\nimport { NgxMatSelectSearchModule } from \"ngx-mat-select-search\";\nimport { WorkspacesLeftMenuComponent } from \"./layout/workspaces-left-menu/workspaces-left-menu.component\";\nimport { EditWorkspaceModalComponent } from \"./modals/edit-workspace-modal/edit-workspace-modal.component\";\nimport { SelectButtonComponent } from \"./workspace/select-button/select-button.component\";\nimport { WorkspaceHeaderComponent } from \"./workspace/workspace-header/workspace-header.component\";\nimport { WorkspacePermissionsEditionComponent } from \"./workspace/workspace-permissions-edition/workspace-permissions-edition.component\";\nimport { WorkspacesComponent } from \"./workspaces.component\";\nimport { WorkspaceGeneralEditionComponent } from \"./workspace/workspace-general-edition/workspace-general-edition.component\";\nimport { WorkspaceObjectLinkFaviconComponent } from './workspace/workspace-object-link-favicon/workspace-object-link-favicon.component';\nimport { DataikuAPIModule } from \"@core/dataiku-api/dataiku-api.module\";\n\n@NgModule({\n    imports: [\n        BrowserModule,\n        FormsModule,\n        MigrationModule,\n        WidgetsModule,\n        MatMenuModule,\n        MatDialogModule,\n        MatSelectModule,\n        MatTabsModule,\n        ComponentsModule,\n        NgxMatSelectSearchModule,\n        FormsModule,\n        PipesModule,\n        ModalsModule,\n        ComponentsModule,\n        DataikuAPIModule,\n    ],\n    declarations: [\n        WorkspacesComponent,\n        SelectButtonComponent,\n        WorkspacesLeftMenuComponent,\n        WorkspaceHeaderComponent,\n        WorkspacePermissionsEditionComponent,\n        EditWorkspaceModalComponent,\n        WorkspaceGeneralEditionComponent,\n        WorkspaceObjectLinkFaviconComponent,\n    ],\n})\nexport class WorkspacesModule { }\n","import { BrowserModule } from '@angular/platform-browser';\nimport { DoBootstrap, NgModule, APP_INITIALIZER } from '@angular/core';\nimport { upgradedProviders } from '@migration/upgraded-providers';\nimport { DkuActivatedRouteService } from '@migration/dku-activated-route';\nimport { WidgetsModule } from '@app/widgets/widgets.module';\nimport { KeyValuesListModule } from './widgets/lists/key-values-list/key-values-list.module';\nimport { ValuesListModule } from './widgets/lists/values-list/values-list.module';\nimport { CredentialsListModule } from './widgets/lists/credentials-list/credentials-list.module';\nimport { ConnectionPropertiesListModule } from './widgets/lists/connection-properties-list/connection-properties-list.module';\n\nimport { BrowserAnimationsModule } from '@angular/platform-browser/animations';\nimport { MatDialogModule } from '@angular/material/dialog';\nimport { ModalsModule } from '@shared/modals/modals.module';\nimport { CoreModule } from '@core/core.module';\nimport { EdaModule } from '@features/eda/eda.module';\n\nimport { EdaComponent } from '@features/eda/eda.component';\nimport { InsightCardComponent } from '@features/eda/worksheet/cards/insight-card/insight-card.component';\nimport { DataikuWT1Module } from '@core/dataiku-wt1/dataiku-wt1.module';\nimport { QaSelectorComponent } from './shared/directives/qa-selector/qa-selector.component';\nimport { QaModeService } from '@shared/directives/qa-mode/qa-mode.service';\nimport { QaSelectorService } from '@shared/directives/qa-selector/qa-selector.service';\nimport { DkuHttpService } from 'dku-frontend-core';\nimport { DkuLegacyHttpService } from '@core/requests/dku-legacy-http.service';\nimport { EditTypeAheadModule } from './widgets/inputs/edit-typeahead-input/edit-typeahead-input.module';\nimport { DeephubModule } from '@features/deephub/deephub.module';\nimport { WorkspacesModule } from '@features/workspaces/workspaces.module';\n\n\n@NgModule({\n    imports: [\n        BrowserModule,\n        WidgetsModule,\n        BrowserAnimationsModule,\n        MatDialogModule,\n        // Core module (singleton services)\n        CoreModule,\n        ModalsModule,\n        EdaModule,\n        DeephubModule,\n        WorkspacesModule,\n        KeyValuesListModule,\n        ValuesListModule,\n        EditTypeAheadModule,\n        CredentialsListModule,\n        ConnectionPropertiesListModule,\n        DataikuWT1Module.legacy()\n    ],\n    entryComponents: [\n        EdaComponent,\n        InsightCardComponent,\n        QaSelectorComponent\n    ],\n    providers: [\n        ...upgradedProviders(),\n        QaModeService,\n        QaSelectorService,\n        DkuActivatedRouteService, // Helper to prepare the transition to Angular2+ router when the migration is full\n        { provide: '$scope', useExisting: '$rootScope' }, // Added to make upgraded angularjs directive work in modals... don't ask.\n        {\n            provide: APP_INITIALIZER,\n            useFactory: () => () => {},\n            deps: [QaModeService, QaSelectorService],\n            multi: true\n        },\n        { provide: DkuHttpService, useClass: DkuLegacyHttpService }\n    ],\n    bootstrap: [],\n    declarations: [QaSelectorComponent],\n})\nexport class AppModule implements DoBootstrap {\n    ngDoBootstrap() {\n    }\n}\n","import '@angular/compiler';\nimport { enableProdMode } from '@angular/core';\nimport { environment } from './environments/environment';\nimport { AppModule } from '@app/app.module';\nimport { platformBrowserDynamic } from '@angular/platform-browser-dynamic';\nimport { downgradeModule } from '@angular/upgrade/static';\nimport { StaticProvider } from '@angular/core';\nimport { downgradeComponents } from '@migration/downgraded-components';\nimport { downgradeProviders } from '@migration/downgraded-providers';\nimport { setAutoFreeze } from 'immer';\n\nimport 'echarts';\nimport 'echarts-gl';\n\ndeclare var angular: any;\n\nif (environment.production) {\n    enableProdMode();\n    setAutoFreeze(false);\n}\n\nconst bootstrapFn = (extraProviders: StaticProvider[]) => {\n    return platformBrowserDynamic(extraProviders).bootstrapModule(AppModule);\n};\n\nangular.module('ng-upgrade', ['dataiku', downgradeModule(bootstrapFn)]);\n\ndowngradeProviders();\ndowngradeComponents();\n\nangular.bootstrap(document, ['ng-upgrade'], {\n    // strictDi: true means that angular rejects old-style dependancy declaration\n    // (ie using only function arguments names, because they cannot be minified)\n    // https://docs.angularjs.org/api/ng/directive/ngApp\n    strictDi: false\n});\n","import { AsyncAction } from './AsyncAction';\nimport { Subscription } from '../Subscription';\nimport { QueueScheduler } from './QueueScheduler';\nimport { SchedulerAction } from '../types';\n\n/**\n * We need this JSDoc comment for affecting ESDoc.\n * @ignore\n * @extends {Ignored}\n */\nexport class QueueAction<T> extends AsyncAction<T> {\n\n  constructor(protected scheduler: QueueScheduler,\n              protected work: (this: SchedulerAction<T>, state?: T) => void) {\n    super(scheduler, work);\n  }\n\n  public schedule(state?: T, delay: number = 0): Subscription {\n    if (delay > 0) {\n      return super.schedule(state, delay);\n    }\n    this.delay = delay;\n    this.state = state;\n    this.scheduler.flush(this);\n    return this;\n  }\n\n  public execute(state: T, delay: number): any {\n    return (delay > 0 || this.closed) ?\n      super.execute(state, delay) :\n      this._execute(state, delay) ;\n  }\n\n  protected requestAsyncId(scheduler: QueueScheduler, id?: any, delay: number = 0): any {\n    // If delay exists and is greater than 0, or if the delay is null (the\n    // action wasn't rescheduled) but was originally scheduled as an async\n    // action, then recycle as an async action.\n    if ((delay !== null && delay > 0) || (delay === null && this.delay > 0)) {\n      return super.requestAsyncId(scheduler, id, delay);\n    }\n    // Otherwise flush the scheduler starting with this action.\n    return scheduler.flush(this);\n  }\n}\n","import { AsyncScheduler } from './AsyncScheduler';\n\nexport class QueueScheduler extends AsyncScheduler {\n}\n","import { QueueAction } from './QueueAction';\nimport { QueueScheduler } from './QueueScheduler';\n\n/**\n *\n * Queue Scheduler\n *\n * <span class=\"informal\">Put every next task on a queue, instead of executing it immediately</span>\n *\n * `queue` scheduler, when used with delay, behaves the same as {@link asyncScheduler} scheduler.\n *\n * When used without delay, it schedules given task synchronously - executes it right when\n * it is scheduled. However when called recursively, that is when inside the scheduled task,\n * another task is scheduled with queue scheduler, instead of executing immediately as well,\n * that task will be put on a queue and wait for current one to finish.\n *\n * This means that when you execute task with `queue` scheduler, you are sure it will end\n * before any other task scheduled with that scheduler will start.\n *\n * ## Examples\n * Schedule recursively first, then do something\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(() => {\n *   queueScheduler.schedule(() => console.log('second')); // will not happen now, but will be put on a queue\n *\n *   console.log('first');\n * });\n *\n * // Logs:\n * // \"first\"\n * // \"second\"\n * ```\n *\n * Reschedule itself recursively\n * ```ts\n * import { queueScheduler } from 'rxjs';\n *\n * queueScheduler.schedule(function(state) {\n *   if (state !== 0) {\n *     console.log('before', state);\n *     this.schedule(state - 1); // `this` references currently executing Action,\n *                               // which we reschedule with new state\n *     console.log('after', state);\n *   }\n * }, 0, 3);\n *\n * // In scheduler that runs recursively, you would expect:\n * // \"before\", 3\n * // \"before\", 2\n * // \"before\", 1\n * // \"after\", 1\n * // \"after\", 2\n * // \"after\", 3\n *\n * // But with queue it logs:\n * // \"before\", 3\n * // \"after\", 3\n * // \"before\", 2\n * // \"after\", 2\n * // \"before\", 1\n * // \"after\", 1\n * ```\n *\n * @static true\n * @name queue\n * @owner Scheduler\n */\n\nexport const queue = new QueueScheduler(QueueAction);\n","import { Subscription } from '../Subscription';\nimport { InnerSubscriber } from '../InnerSubscriber';\nimport { OuterSubscriber } from '../OuterSubscriber';\nimport { Subscriber } from '../Subscriber';\nimport { subscribeTo } from './subscribeTo';\nimport { Observable } from '../Observable';\n\nexport function subscribeToResult<T, R>(\n  outerSubscriber: OuterSubscriber<T, R>,\n  result: any,\n  outerValue: undefined,\n  outerIndex: undefined,\n  innerSubscriber: InnerSubscriber<T, R>\n): Subscription | undefined;\n\nexport function subscribeToResult<T, R>(\n  outerSubscriber: OuterSubscriber<T, R>,\n  result: any,\n  outerValue?: T,\n  outerIndex?: number\n): Subscription | undefined;\n\nexport function subscribeToResult<T, R>(\n  outerSubscriber: OuterSubscriber<T, R>,\n  result: any,\n  outerValue?: T,\n  outerIndex?: number,\n  innerSubscriber: Subscriber<R> = new InnerSubscriber(outerSubscriber, outerValue, outerIndex)\n): Subscription | undefined {\n  if (innerSubscriber.closed) {\n    return undefined;\n  }\n  if (result instanceof Observable) {\n    return result.subscribe(innerSubscriber);\n  }\n  return subscribeTo(result)(innerSubscriber) as Subscription;\n}\n"],"sourceRoot":"webpack:///"}