/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/* global Float64Array, Int32Array, Uint32Array, Uint16Array */
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/**
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* List for data storage
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*/
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import * as zrUtil from 'zrender/src/core/util';
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import {PathStyleProps} from 'zrender/src/graphic/Path';
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import Model from '../model/Model';
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import DataDiffer from './DataDiffer';
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import {DefaultDataProvider, DataProvider} from './helper/dataProvider';
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import {summarizeDimensions, DimensionSummary} from './helper/dimensionHelper';
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import DataDimensionInfo from './DataDimensionInfo';
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import {ArrayLike, Dictionary, FunctionPropertyNames} from 'zrender/src/core/types';
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import Element from 'zrender/src/Element';
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import {
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DimensionIndex, DimensionName, DimensionLoose, OptionDataItem,
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ParsedValue, ParsedValueNumeric, OrdinalNumber, DimensionUserOuput,
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ModelOption, SeriesDataType, OptionSourceData, SOURCE_FORMAT_TYPED_ARRAY, SOURCE_FORMAT_ORIGINAL,
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DecalObject
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} from '../util/types';
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import {isDataItemOption, convertOptionIdName} from '../util/model';
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import { getECData } from '../util/innerStore';
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import type Graph from './Graph';
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import type Tree from './Tree';
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import type { VisualMeta } from '../component/visualMap/VisualMapModel';
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import { parseDataValue } from './helper/dataValueHelper';
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import {isSourceInstance, Source} from './Source';
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import OrdinalMeta from './OrdinalMeta';
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import { LineStyleProps } from '../model/mixin/lineStyle';
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const mathFloor = Math.floor;
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const isObject = zrUtil.isObject;
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const map = zrUtil.map;
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const UNDEFINED = 'undefined';
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const INDEX_NOT_FOUND = -1;
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// Use prefix to avoid index to be the same as otherIdList[idx],
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// which will cause weird udpate animation.
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const ID_PREFIX = 'e\0\0';
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const dataCtors = {
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'float': typeof Float64Array === UNDEFINED
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? Array : Float64Array,
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'int': typeof Int32Array === UNDEFINED
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? Array : Int32Array,
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// Ordinal data type can be string or int
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'ordinal': Array,
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'number': Array,
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'time': Array
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};
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export type ListDimensionType = keyof typeof dataCtors;
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// Caution: MUST not use `new CtorUint32Array(arr, 0, len)`, because the Ctor of array is
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// different from the Ctor of typed array.
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const CtorUint32Array = typeof Uint32Array === UNDEFINED ? Array : Uint32Array;
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const CtorInt32Array = typeof Int32Array === UNDEFINED ? Array : Int32Array;
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const CtorUint16Array = typeof Uint16Array === UNDEFINED ? Array : Uint16Array;
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type DataTypedArray = Uint32Array | Int32Array | Uint16Array | Float64Array;
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type DataTypedArrayConstructor = typeof Uint32Array | typeof Int32Array | typeof Uint16Array | typeof Float64Array;
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type DataArrayLikeConstructor = typeof Array | DataTypedArrayConstructor;
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type DimValueGetter = (
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this: List,
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dataItem: any,
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dimName: DimensionName,
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dataIndex: number,
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dimIndex: DimensionIndex
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) => ParsedValue;
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type DataValueChunk = ArrayLike<ParsedValue>;
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type DataStorage = {[dimName: string]: DataValueChunk};
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type NameRepeatCount = {[name: string]: number};
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type ItrParamDims = DimensionLoose | Array<DimensionLoose>;
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// If Ctx not specified, use List as Ctx
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type CtxOrList<Ctx> = unknown extends Ctx ? List : Ctx;
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type EachCb0<Ctx> = (this: CtxOrList<Ctx>, idx: number) => void;
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type EachCb1<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, idx: number) => void;
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type EachCb2<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, y: ParsedValue, idx: number) => void;
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type EachCb<Ctx> = (this: CtxOrList<Ctx>, ...args: any) => void;
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type FilterCb0<Ctx> = (this: CtxOrList<Ctx>, idx: number) => boolean;
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type FilterCb1<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, idx: number) => boolean;
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type FilterCb2<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, y: ParsedValue, idx: number) => boolean;
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type FilterCb<Ctx> = (this: CtxOrList<Ctx>, ...args: any) => boolean;
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type MapArrayCb0<Ctx> = (this: CtxOrList<Ctx>, idx: number) => any;
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type MapArrayCb1<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, idx: number) => any;
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type MapArrayCb2<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, y: ParsedValue, idx: number) => any;
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type MapArrayCb<Ctx> = (this: CtxOrList<Ctx>, ...args: any) => any;
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type MapCb1<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, idx: number) => ParsedValue | ParsedValue[];
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type MapCb2<Ctx> = (this: CtxOrList<Ctx>, x: ParsedValue, y: ParsedValue, idx: number) =>
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ParsedValue | ParsedValue[];
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type MapCb<Ctx> = (this: CtxOrList<Ctx>, ...args: any) => ParsedValue | ParsedValue[];
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const TRANSFERABLE_PROPERTIES = [
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'hasItemOption', '_nameList', '_idList', '_invertedIndicesMap',
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'_rawData', '_dimValueGetter',
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'_count', '_rawCount', '_nameDimIdx', '_idDimIdx', '_nameRepeatCount'
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];
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const CLONE_PROPERTIES = [
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'_extent', '_approximateExtent', '_rawExtent'
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];
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export interface DefaultDataVisual {
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style: PathStyleProps
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// Draw type determined which prop should be set with encoded color.
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// It's only available on the global visual. Use getVisual('drawType') to access it.
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// It will be set in visual/style.ts module in the first priority.
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drawType: 'fill' | 'stroke'
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symbol?: string
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symbolSize?: number | number[]
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symbolRotate?: number
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symbolKeepAspect?: boolean
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symbolOffset?: string | number | (string | number)[]
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liftZ?: number
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// For legend.
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legendSymbol?: string
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legendLineStyle?: LineStyleProps
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// visualMap will inject visualMeta data
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visualMeta?: VisualMeta[]
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// If color is encoded from palette
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colorFromPalette?: boolean
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decal?: DecalObject
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}
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export interface DataCalculationInfo<SERIES_MODEL> {
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stackedDimension: string;
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stackedByDimension: string;
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isStackedByIndex: boolean;
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stackedOverDimension: string;
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stackResultDimension: string;
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stackedOnSeries?: SERIES_MODEL;
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}
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// -----------------------------
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// Internal method declarations:
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// -----------------------------
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let defaultDimValueGetters: {[sourceFormat: string]: DimValueGetter};
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let prepareInvertedIndex: (list: List) => void;
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let getIndicesCtor: (list: List) => DataArrayLikeConstructor;
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let prepareStorage: (
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storage: DataStorage, dimInfo: DataDimensionInfo, end: number, append?: boolean
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) => void;
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let getRawIndexWithoutIndices: (this: List, idx: number) => number;
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let getRawIndexWithIndices: (this: List, idx: number) => number;
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let getId: (list: List, rawIndex: number) => string;
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let getIdNameFromStore: (list: List, dimIdx: number, ordinalMeta: OrdinalMeta, rawIndex: number) => string;
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let makeIdFromName: (list: List, idx: number) => void;
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let normalizeDimensions: (dimensions: ItrParamDims) => Array<DimensionLoose>;
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let validateDimensions: (list: List, dims: DimensionName[]) => void;
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let cloneListForMapAndSample: (original: List, excludeDimensions: DimensionName[]) => List;
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let getInitialExtent: () => [number, number];
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let setItemDataAndSeriesIndex: (this: Element, child: Element) => void;
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let transferProperties: (target: List, source: List) => void;
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class List<
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HostModel extends Model = Model,
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Visual extends DefaultDataVisual = DefaultDataVisual
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> {
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readonly type = 'list';
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readonly dimensions: string[];
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// Infomation of each data dimension, like data type.
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private _dimensionInfos: {[dimName: string]: DataDimensionInfo};
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readonly hostModel: HostModel;
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/**
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* @readonly
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*/
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dataType: SeriesDataType;
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/**
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* @readonly
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* Host graph if List is used to store graph nodes / edges.
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*/
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graph?: Graph;
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/**
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* @readonly
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* Host tree if List is used to store tree ndoes.
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*/
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tree?: Tree;
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// Indices stores the indices of data subset after filtered.
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// This data subset will be used in chart.
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private _indices: ArrayLike<any>;
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private _count: number = 0;
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private _rawCount: number = 0;
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private _storage: DataStorage = {};
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// We have an extra array store here. It's faster to be acessed than KV structured `_storage`.
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// We profile the code `storage[dim]` and it seems to be KeyedLoadIC_Megamorphic instead of fast property access.
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// Not sure why this happens. But using an extra array seems leads to faster `initData`
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// See https://github.com/apache/incubator-echarts/pull/13314 for more explanation.
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private _storageArr: DataValueChunk[] = [];
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private _nameList: string[] = [];
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private _idList: string[] = [];
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// Models of data option is stored sparse for optimizing memory cost
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// Never used yet (not used yet).
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// private _optionModels: Model[] = [];
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// Global visual properties after visual coding
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private _visual: Dictionary<any> = {};
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// Globel layout properties.
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private _layout: Dictionary<any> = {};
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// Item visual properties after visual coding
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private _itemVisuals: Dictionary<any>[] = [];
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// Item layout properties after layout
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private _itemLayouts: any[] = [];
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// Graphic elemnents
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private _graphicEls: Element[] = [];
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private _rawData: DataProvider;
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// Raw extent will not be cloned, but only transfered.
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// It will not be calculated util needed.
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private _rawExtent: {[dimName: string]: [number, number]} = {};
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private _extent: {[dimName: string]: [number, number]} = {};
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// key: dim, value: extent
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private _approximateExtent: {[dimName: string]: [number, number]} = {};
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private _dimensionsSummary: DimensionSummary;
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private _invertedIndicesMap: {[dimName: string]: ArrayLike<number>};
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private _calculationInfo: DataCalculationInfo<HostModel> = {} as DataCalculationInfo<HostModel>;
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// User output info of this data.
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// DO NOT use it in other places!
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// When preparing user params for user callbacks, we have
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// to clone these inner data structures to prevent users
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// from modifying them to effect built-in logic. And for
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// performance consideration we make this `userOutput` to
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// avoid clone them too many times.
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readonly userOutput: DimensionUserOuput;
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// Having detected that there is data item is non primitive type
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// (in type `OptionDataItemObject`).
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// Like `data: [ { value: xx, itemStyle: {...} }, ...]`
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// At present it only happen in `SOURCE_FORMAT_ORIGINAL`.
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hasItemOption: boolean = true;
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// @readonly
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defaultDimValueGetter: DimValueGetter;
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private _dimValueGetter: DimValueGetter;
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private _dimValueGetterArrayRows: DimValueGetter;
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// id or name is used on dynamic data, mapping old and new items.
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// When generating id from name, avoid repeat.
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private _nameRepeatCount: NameRepeatCount;
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private _nameDimIdx: number;
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private _nameOrdinalMeta: OrdinalMeta;
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private _idDimIdx: number;
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private _idOrdinalMeta: OrdinalMeta;
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private _dontMakeIdFromName: boolean;
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private __wrappedMethods: string[];
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// Methods that create a new list based on this list should be listed here.
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// Notice that those method should `RETURN` the new list.
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TRANSFERABLE_METHODS = ['cloneShallow', 'downSample', 'lttbDownSample', 'map'] as const;
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// Methods that change indices of this list should be listed here.
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CHANGABLE_METHODS = ['filterSelf', 'selectRange'] as const;
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DOWNSAMPLE_METHODS = ['downSample', 'lttbDownSample'] as const;
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/**
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* @param dimensions
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* For example, ['someDimName', {name: 'someDimName', type: 'someDimType'}, ...].
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* Dimensions should be concrete names like x, y, z, lng, lat, angle, radius
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*/
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constructor(dimensions: Array<string | object | DataDimensionInfo>, hostModel: HostModel) {
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dimensions = dimensions || ['x', 'y'];
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const dimensionInfos: Dictionary<DataDimensionInfo> = {};
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const dimensionNames = [];
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const invertedIndicesMap: Dictionary<number[]> = {};
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for (let i = 0; i < dimensions.length; i++) {
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// Use the original dimensions[i], where other flag props may exists.
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const dimInfoInput = dimensions[i];
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const dimensionInfo: DataDimensionInfo =
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zrUtil.isString(dimInfoInput)
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? new DataDimensionInfo({name: dimInfoInput})
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: !(dimInfoInput instanceof DataDimensionInfo)
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? new DataDimensionInfo(dimInfoInput)
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: dimInfoInput;
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const dimensionName = dimensionInfo.name;
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dimensionInfo.type = dimensionInfo.type || 'float';
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if (!dimensionInfo.coordDim) {
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dimensionInfo.coordDim = dimensionName;
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dimensionInfo.coordDimIndex = 0;
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}
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const otherDims = dimensionInfo.otherDims = dimensionInfo.otherDims || {};
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dimensionNames.push(dimensionName);
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dimensionInfos[dimensionName] = dimensionInfo;
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dimensionInfo.index = i;
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if (dimensionInfo.createInvertedIndices) {
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invertedIndicesMap[dimensionName] = [];
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}
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if (otherDims.itemName === 0) {
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this._nameDimIdx = i;
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this._nameOrdinalMeta = dimensionInfo.ordinalMeta;
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}
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if (otherDims.itemId === 0) {
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this._idDimIdx = i;
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this._idOrdinalMeta = dimensionInfo.ordinalMeta;
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}
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}
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this.dimensions = dimensionNames;
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this._dimensionInfos = dimensionInfos;
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this.hostModel = hostModel;
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// Cache summary info for fast visit. See "dimensionHelper".
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this._dimensionsSummary = summarizeDimensions(this);
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this._invertedIndicesMap = invertedIndicesMap;
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this.userOutput = this._dimensionsSummary.userOutput;
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}
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/**
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* The meanings of the input parameter `dim`:
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*
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* + If dim is a number (e.g., `1`), it means the index of the dimension.
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* For example, `getDimension(0)` will return 'x' or 'lng' or 'radius'.
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* + If dim is a number-like string (e.g., `"1"`):
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* + If there is the same concrete dim name defined in `this.dimensions`, it means that concrete name.
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* + If not, it will be converted to a number, which means the index of the dimension.
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* (why? because of the backward compatbility. We have been tolerating number-like string in
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* dimension setting, although now it seems that it is not a good idea.)
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* For example, `visualMap[i].dimension: "1"` is the same meaning as `visualMap[i].dimension: 1`,
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* if no dimension name is defined as `"1"`.
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* + If dim is a not-number-like string, it means the concrete dim name.
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* For example, it can be be default name `"x"`, `"y"`, `"z"`, `"lng"`, `"lat"`, `"angle"`, `"radius"`,
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* or customized in `dimensions` property of option like `"age"`.
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*
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* Get dimension name
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* @param dim See above.
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* @return Concrete dim name.
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*/
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getDimension(dim: DimensionLoose): DimensionName {
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if (typeof dim === 'number'
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// If being a number-like string but not being defined a dimension name.
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|| (!isNaN(dim as any) && !this._dimensionInfos.hasOwnProperty(dim))
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) {
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dim = this.dimensions[dim as DimensionIndex];
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}
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return dim as DimensionName;
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}
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/**
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* Get type and calculation info of particular dimension
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* @param dim
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* Dimension can be concrete names like x, y, z, lng, lat, angle, radius
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* Or a ordinal number. For example getDimensionInfo(0) will return 'x' or 'lng' or 'radius'
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*/
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getDimensionInfo(dim: DimensionLoose): DataDimensionInfo {
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// Do not clone, because there may be categories in dimInfo.
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return this._dimensionInfos[this.getDimension(dim)];
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}
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/**
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* concrete dimension name list on coord.
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*/
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getDimensionsOnCoord(): DimensionName[] {
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return this._dimensionsSummary.dataDimsOnCoord.slice();
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}
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/**
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* @param coordDim
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* @param idx A coordDim may map to more than one data dim.
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* If not specified, return the first dim not extra.
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* @return concrete data dim. If not found, return null/undefined
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*/
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mapDimension(coordDim: DimensionName): DimensionName;
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mapDimension(coordDim: DimensionName, idx: number): DimensionName;
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mapDimension(coordDim: DimensionName, idx?: number): DimensionName {
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const dimensionsSummary = this._dimensionsSummary;
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if (idx == null) {
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return dimensionsSummary.encodeFirstDimNotExtra[coordDim] as any;
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}
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const dims = dimensionsSummary.encode[coordDim];
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return dims ? dims[idx as number] as any : null;
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}
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mapDimensionsAll(coordDim: DimensionName): DimensionName[] {
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const dimensionsSummary = this._dimensionsSummary;
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const dims = dimensionsSummary.encode[coordDim];
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return (dims || []).slice();
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}
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/**
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* Initialize from data
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* @param data source or data or data provider.
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* @param nameList The name of a datum is used on data diff and
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* default label/tooltip.
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* A name can be specified in encode.itemName,
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* or dataItem.name (only for series option data),
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* or provided in nameList from outside.
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*/
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initData(
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data: Source | OptionSourceData | DataProvider,
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nameList?: string[],
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dimValueGetter?: DimValueGetter
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): void {
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const notProvider = isSourceInstance(data) || zrUtil.isArrayLike(data);
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const provider: DataProvider = notProvider
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? new DefaultDataProvider(data as Source | OptionSourceData, this.dimensions.length)
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: data as DataProvider;
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if (__DEV__) {
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zrUtil.assert(
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notProvider || (
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zrUtil.isFunction(provider.getItem)
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&& zrUtil.isFunction(provider.count)
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),
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'Inavlid data provider.'
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);
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}
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this._rawData = provider;
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const sourceFormat = provider.getSource().sourceFormat;
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// Clear
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this._storage = {};
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this._indices = null;
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this._dontMakeIdFromName =
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this._idDimIdx != null
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|| sourceFormat === SOURCE_FORMAT_TYPED_ARRAY // Cosndier performance.
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|| !!provider.fillStorage;
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this._nameList = (nameList || []).slice();
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this._idList = [];
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this._nameRepeatCount = {};
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if (!dimValueGetter) {
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this.hasItemOption = false;
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}
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this.defaultDimValueGetter = defaultDimValueGetters[sourceFormat];
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// Default dim value getter
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this._dimValueGetter = dimValueGetter = dimValueGetter
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|| this.defaultDimValueGetter;
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this._dimValueGetterArrayRows = defaultDimValueGetters.arrayRows;
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// Reset raw extent.
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this._rawExtent = {};
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this._initDataFromProvider(0, provider.count());
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// If data has no item option.
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if (provider.pure) {
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this.hasItemOption = false;
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}
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}
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getProvider(): DataProvider {
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return this._rawData;
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}
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/**
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* Caution: Can be only called on raw data (before `this._indices` created).
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*/
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appendData(data: ArrayLike<any>): void {
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if (__DEV__) {
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zrUtil.assert(!this._indices, 'appendData can only be called on raw data.');
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}
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const rawData = this._rawData;
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const start = this.count();
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rawData.appendData(data);
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let end = rawData.count();
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if (!rawData.persistent) {
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end += start;
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}
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this._initDataFromProvider(start, end, true);
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}
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/**
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* Caution: Can be only called on raw data (before `this._indices` created).
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* This method does not modify `rawData` (`dataProvider`), but only
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* add values to storage.
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*
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* The final count will be increased by `Math.max(values.length, names.length)`.
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*
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* @param values That is the SourceType: 'arrayRows', like
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* [
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* [12, 33, 44],
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* [NaN, 43, 1],
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* ['-', 'asdf', 0]
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* ]
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* Each item is exaclty cooresponding to a dimension.
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*/
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appendValues(values: any[][], names?: string[]): void {
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const storage = this._storage;
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const dimensions = this.dimensions;
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const dimLen = dimensions.length;
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const rawExtent = this._rawExtent;
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const start = this.count();
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const end = start + Math.max(values.length, names ? names.length : 0);
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for (let i = 0; i < dimLen; i++) {
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const dim = dimensions[i];
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if (!rawExtent[dim]) {
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rawExtent[dim] = getInitialExtent();
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}
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prepareStorage(storage, this._dimensionInfos[dim], end, true);
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}
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const rawExtentArr = map(dimensions, (dim) => {
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return rawExtent[dim];
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});
|
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const storageArr = this._storageArr = map(dimensions, (dim) => {
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return storage[dim];
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});
|
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const emptyDataItem: number[] = [];
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for (let idx = start; idx < end; idx++) {
|
const sourceIdx = idx - start;
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// Store the data by dimensions
|
for (let dimIdx = 0; dimIdx < dimLen; dimIdx++) {
|
const dim = dimensions[dimIdx];
|
const val = this._dimValueGetterArrayRows(
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values[sourceIdx] || emptyDataItem, dim, sourceIdx, dimIdx
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) as ParsedValueNumeric;
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storageArr[dimIdx][idx] = val;
|
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const dimRawExtent = rawExtentArr[dimIdx];
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val < dimRawExtent[0] && (dimRawExtent[0] = val);
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val > dimRawExtent[1] && (dimRawExtent[1] = val);
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}
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if (names) {
|
this._nameList[idx] = names[sourceIdx];
|
if (!this._dontMakeIdFromName) {
|
makeIdFromName(this, idx);
|
}
|
}
|
}
|
|
this._rawCount = this._count = end;
|
|
// Reset data extent
|
this._extent = {};
|
|
prepareInvertedIndex(this);
|
}
|
|
private _initDataFromProvider(start: number, end: number, append?: boolean): void {
|
if (start >= end) {
|
return;
|
}
|
|
const rawData = this._rawData;
|
const storage = this._storage;
|
const dimensions = this.dimensions;
|
const dimLen = dimensions.length;
|
const dimensionInfoMap = this._dimensionInfos;
|
const nameList = this._nameList;
|
const idList = this._idList;
|
const rawExtent = this._rawExtent;
|
const sourceFormat = rawData.getSource().sourceFormat;
|
const isFormatOriginal = sourceFormat === SOURCE_FORMAT_ORIGINAL;
|
|
for (let i = 0; i < dimLen; i++) {
|
const dim = dimensions[i];
|
if (!rawExtent[dim]) {
|
rawExtent[dim] = getInitialExtent();
|
}
|
prepareStorage(storage, dimensionInfoMap[dim], end, append);
|
}
|
|
const storageArr = this._storageArr = map(dimensions, (dim) => {
|
return storage[dim];
|
});
|
|
const rawExtentArr = map(dimensions, (dim) => {
|
return rawExtent[dim];
|
});
|
|
if (rawData.fillStorage) {
|
rawData.fillStorage(start, end, storageArr, rawExtentArr);
|
}
|
else {
|
let dataItem = [] as OptionDataItem;
|
for (let idx = start; idx < end; idx++) {
|
// NOTICE: Try not to write things into dataItem
|
dataItem = rawData.getItem(idx, dataItem);
|
// Each data item is value
|
// [1, 2]
|
// 2
|
// Bar chart, line chart which uses category axis
|
// only gives the 'y' value. 'x' value is the indices of category
|
// Use a tempValue to normalize the value to be a (x, y) value
|
|
// Store the data by dimensions
|
for (let dimIdx = 0; dimIdx < dimLen; dimIdx++) {
|
const dim = dimensions[dimIdx];
|
const dimStorage = storageArr[dimIdx];
|
// PENDING NULL is empty or zero
|
const val = this._dimValueGetter(dataItem, dim, idx, dimIdx) as ParsedValueNumeric;
|
dimStorage[idx] = val;
|
|
const dimRawExtent = rawExtentArr[dimIdx];
|
val < dimRawExtent[0] && (dimRawExtent[0] = val);
|
val > dimRawExtent[1] && (dimRawExtent[1] = val);
|
}
|
|
// If dataItem is {name: ...} or {id: ...}, it has highest priority.
|
// This kind of ids and names are always stored `_nameList` and `_idList`.
|
if (isFormatOriginal && !rawData.pure && dataItem) {
|
const itemName = (dataItem as any).name;
|
if (nameList[idx] == null && itemName != null) {
|
nameList[idx] = convertOptionIdName(itemName, null);
|
}
|
const itemId = (dataItem as any).id;
|
if (idList[idx] == null && itemId != null) {
|
idList[idx] = convertOptionIdName(itemId, null);
|
}
|
}
|
|
if (!this._dontMakeIdFromName) {
|
makeIdFromName(this, idx);
|
}
|
}
|
}
|
|
if (!rawData.persistent && rawData.clean) {
|
// Clean unused data if data source is typed array.
|
rawData.clean();
|
}
|
|
this._rawCount = this._count = end;
|
|
// Reset data extent
|
this._extent = {};
|
|
prepareInvertedIndex(this);
|
}
|
|
count(): number {
|
return this._count;
|
}
|
|
getIndices(): ArrayLike<number> {
|
let newIndices;
|
|
const indices = this._indices;
|
if (indices) {
|
const Ctor = indices.constructor as DataArrayLikeConstructor;
|
const thisCount = this._count;
|
// `new Array(a, b, c)` is different from `new Uint32Array(a, b, c)`.
|
if (Ctor === Array) {
|
newIndices = new Ctor(thisCount);
|
for (let i = 0; i < thisCount; i++) {
|
newIndices[i] = indices[i];
|
}
|
}
|
else {
|
newIndices = new (Ctor as DataTypedArrayConstructor)(
|
(indices as DataTypedArray).buffer, 0, thisCount
|
);
|
}
|
}
|
else {
|
const Ctor = getIndicesCtor(this);
|
newIndices = new Ctor(this.count());
|
for (let i = 0; i < newIndices.length; i++) {
|
newIndices[i] = i;
|
}
|
}
|
|
return newIndices;
|
}
|
|
// Get data by index of dimension.
|
// Because in v8 access array by number variable is faster than access object by string variable
|
// Not sure why but the optimization just works.
|
getByDimIdx(dimIdx: number, idx: number): ParsedValue {
|
if (!(idx >= 0 && idx < this._count)) {
|
return NaN;
|
}
|
const dimStore = this._storageArr[dimIdx];
|
return dimStore ? dimStore[this.getRawIndex(idx)] : NaN;
|
}
|
|
/**
|
* Get value. Return NaN if idx is out of range.
|
* @param dim Dim must be concrete name.
|
*/
|
get(dim: DimensionName, idx: number): ParsedValue {
|
if (!(idx >= 0 && idx < this._count)) {
|
return NaN;
|
}
|
const dimStore = this._storage[dim];
|
return dimStore ? dimStore[this.getRawIndex(idx)] : NaN;
|
}
|
|
/**
|
* @param dim concrete dim
|
*/
|
getByRawIndex(dim: DimensionName, rawIdx: number): ParsedValue {
|
if (!(rawIdx >= 0 && rawIdx < this._rawCount)) {
|
return NaN;
|
}
|
const dimStore = this._storage[dim];
|
return dimStore ? dimStore[rawIdx] : NaN;
|
}
|
|
/**
|
* Get value for multi dimensions.
|
* @param dimensions If ignored, using all dimensions.
|
*/
|
getValues(idx: number): ParsedValue[];
|
getValues(dimensions: readonly DimensionName[], idx: number): ParsedValue[];
|
getValues(dimensions: readonly DimensionName[] | number, idx?: number): ParsedValue[] {
|
const values = [];
|
|
if (!zrUtil.isArray(dimensions)) {
|
// stack = idx;
|
idx = dimensions as number;
|
dimensions = this.dimensions;
|
}
|
|
for (let i = 0, len = dimensions.length; i < len; i++) {
|
values.push(this.get(dimensions[i], idx /*, stack */));
|
}
|
|
return values;
|
}
|
|
/**
|
* If value is NaN. Inlcuding '-'
|
* Only check the coord dimensions.
|
*/
|
hasValue(idx: number): boolean {
|
const dataDimsOnCoord = this._dimensionsSummary.dataDimsOnCoord;
|
for (let i = 0, len = dataDimsOnCoord.length; i < len; i++) {
|
// Ordinal type originally can be string or number.
|
// But when an ordinal type is used on coord, it can
|
// not be string but only number. So we can also use isNaN.
|
if (isNaN(this.get(dataDimsOnCoord[i], idx) as any)) {
|
return false;
|
}
|
}
|
return true;
|
}
|
|
/**
|
* Get extent of data in one dimension
|
*/
|
getDataExtent(dim: DimensionLoose): [number, number] {
|
// Make sure use concrete dim as cache name.
|
dim = this.getDimension(dim);
|
const dimData = this._storage[dim];
|
const initialExtent = getInitialExtent();
|
|
// stack = !!((stack || false) && this.getCalculationInfo(dim));
|
|
if (!dimData) {
|
return initialExtent;
|
}
|
|
// Make more strict checkings to ensure hitting cache.
|
const currEnd = this.count();
|
// let cacheName = [dim, !!stack].join('_');
|
// let cacheName = dim;
|
|
// Consider the most cases when using data zoom, `getDataExtent`
|
// happened before filtering. We cache raw extent, which is not
|
// necessary to be cleared and recalculated when restore data.
|
const useRaw = !this._indices; // && !stack;
|
let dimExtent: [number, number];
|
|
if (useRaw) {
|
return this._rawExtent[dim].slice() as [number, number];
|
}
|
dimExtent = this._extent[dim];
|
if (dimExtent) {
|
return dimExtent.slice() as [number, number];
|
}
|
dimExtent = initialExtent;
|
|
let min = dimExtent[0];
|
let max = dimExtent[1];
|
|
for (let i = 0; i < currEnd; i++) {
|
const rawIdx = this.getRawIndex(i);
|
const value = dimData[rawIdx] as ParsedValueNumeric;
|
value < min && (min = value);
|
value > max && (max = value);
|
}
|
|
dimExtent = [min, max];
|
|
this._extent[dim] = dimExtent;
|
|
return dimExtent;
|
}
|
|
/**
|
* PENDING: In fact currently this function is only used to short-circuit
|
* the calling of `scale.unionExtentFromData` when data have been filtered by modules
|
* like "dataZoom". `scale.unionExtentFromData` is used to calculate data extent for series on
|
* an axis, but if a "axis related data filter module" is used, the extent of the axis have
|
* been fixed and no need to calling `scale.unionExtentFromData` actually.
|
* But if we add "custom data filter" in future, which is not "axis related", this method may
|
* be still needed.
|
*
|
* Optimize for the scenario that data is filtered by a given extent.
|
* Consider that if data amount is more than hundreds of thousand,
|
* extent calculation will cost more than 10ms and the cache will
|
* be erased because of the filtering.
|
*/
|
getApproximateExtent(dim: DimensionLoose): [number, number] {
|
dim = this.getDimension(dim);
|
return this._approximateExtent[dim] || this.getDataExtent(dim);
|
}
|
|
/**
|
* Calculate extent on a filtered data might be time consuming.
|
* Approximate extent is only used for: calculte extent of filtered data outside.
|
*/
|
setApproximateExtent(extent: [number, number], dim: DimensionLoose): void {
|
dim = this.getDimension(dim);
|
this._approximateExtent[dim] = extent.slice() as [number, number];
|
}
|
|
getCalculationInfo<CALC_INFO_KEY extends keyof DataCalculationInfo<HostModel>>(
|
key: CALC_INFO_KEY
|
): DataCalculationInfo<HostModel>[CALC_INFO_KEY] {
|
return this._calculationInfo[key];
|
}
|
|
/**
|
* @param key or k-v object
|
*/
|
setCalculationInfo(
|
key: DataCalculationInfo<HostModel>
|
): void;
|
setCalculationInfo<CALC_INFO_KEY extends keyof DataCalculationInfo<HostModel>>(
|
key: CALC_INFO_KEY,
|
value: DataCalculationInfo<HostModel>[CALC_INFO_KEY]
|
): void;
|
setCalculationInfo(
|
key: (keyof DataCalculationInfo<HostModel>) | DataCalculationInfo<HostModel>,
|
value?: DataCalculationInfo<HostModel>[keyof DataCalculationInfo<HostModel>]
|
): void {
|
isObject(key)
|
? zrUtil.extend(this._calculationInfo, key as object)
|
: ((this._calculationInfo as any)[key] = value);
|
}
|
|
/**
|
* Get sum of data in one dimension
|
*/
|
getSum(dim: DimensionName): number {
|
const dimData = this._storage[dim];
|
let sum = 0;
|
if (dimData) {
|
for (let i = 0, len = this.count(); i < len; i++) {
|
const value = this.get(dim, i) as number;
|
if (!isNaN(value)) {
|
sum += value;
|
}
|
}
|
}
|
return sum;
|
}
|
|
/**
|
* Get median of data in one dimension
|
*/
|
getMedian(dim: DimensionLoose): number {
|
const dimDataArray: ParsedValue[] = [];
|
// map all data of one dimension
|
this.each(dim, function (val) {
|
if (!isNaN(val as number)) {
|
dimDataArray.push(val);
|
}
|
});
|
|
// TODO
|
// Use quick select?
|
const sortedDimDataArray = dimDataArray.sort(function (a: number, b: number) {
|
return a - b;
|
}) as number[];
|
const len = this.count();
|
// calculate median
|
return len === 0
|
? 0
|
: len % 2 === 1
|
? sortedDimDataArray[(len - 1) / 2]
|
: (sortedDimDataArray[len / 2] + sortedDimDataArray[len / 2 - 1]) / 2;
|
}
|
|
// /**
|
// * Retreive the index with given value
|
// * @param {string} dim Concrete dimension.
|
// * @param {number} value
|
// * @return {number}
|
// */
|
// Currently incorrect: should return dataIndex but not rawIndex.
|
// Do not fix it until this method is to be used somewhere.
|
// FIXME Precision of float value
|
// indexOf(dim, value) {
|
// let storage = this._storage;
|
// let dimData = storage[dim];
|
// let chunkSize = this._chunkSize;
|
// if (dimData) {
|
// for (let i = 0, len = this.count(); i < len; i++) {
|
// let chunkIndex = mathFloor(i / chunkSize);
|
// let chunkOffset = i % chunkSize;
|
// if (dimData[chunkIndex][chunkOffset] === value) {
|
// return i;
|
// }
|
// }
|
// }
|
// return -1;
|
// }
|
|
/**
|
* Only support the dimension which inverted index created.
|
* Do not support other cases until required.
|
* @param dim concrete dim
|
* @param value ordinal index
|
* @return rawIndex
|
*/
|
rawIndexOf(dim: DimensionName, value: OrdinalNumber): number {
|
const invertedIndices = dim && this._invertedIndicesMap[dim];
|
if (__DEV__) {
|
if (!invertedIndices) {
|
throw new Error('Do not supported yet');
|
}
|
}
|
const rawIndex = invertedIndices[value];
|
if (rawIndex == null || isNaN(rawIndex)) {
|
return INDEX_NOT_FOUND;
|
}
|
return rawIndex;
|
}
|
|
/**
|
* Retreive the index with given name
|
*/
|
indexOfName(name: string): number {
|
for (let i = 0, len = this.count(); i < len; i++) {
|
if (this.getName(i) === name) {
|
return i;
|
}
|
}
|
|
return -1;
|
}
|
|
/**
|
* Retreive the index with given raw data index
|
*/
|
indexOfRawIndex(rawIndex: number): number {
|
if (rawIndex >= this._rawCount || rawIndex < 0) {
|
return -1;
|
}
|
|
if (!this._indices) {
|
return rawIndex;
|
}
|
|
// Indices are ascending
|
const indices = this._indices;
|
|
// If rawIndex === dataIndex
|
const rawDataIndex = indices[rawIndex];
|
if (rawDataIndex != null && rawDataIndex < this._count && rawDataIndex === rawIndex) {
|
return rawIndex;
|
}
|
|
let left = 0;
|
let right = this._count - 1;
|
while (left <= right) {
|
const mid = (left + right) / 2 | 0;
|
if (indices[mid] < rawIndex) {
|
left = mid + 1;
|
}
|
else if (indices[mid] > rawIndex) {
|
right = mid - 1;
|
}
|
else {
|
return mid;
|
}
|
}
|
return -1;
|
}
|
|
/**
|
* Retreive the index of nearest value
|
* @param dim
|
* @param value
|
* @param [maxDistance=Infinity]
|
* @return If and only if multiple indices has
|
* the same value, they are put to the result.
|
*/
|
indicesOfNearest(
|
dim: DimensionName, value: number, maxDistance?: number
|
): number[] {
|
const storage = this._storage;
|
const dimData = storage[dim];
|
const nearestIndices: number[] = [];
|
|
if (!dimData) {
|
return nearestIndices;
|
}
|
|
if (maxDistance == null) {
|
maxDistance = Infinity;
|
}
|
|
let minDist = Infinity;
|
let minDiff = -1;
|
let nearestIndicesLen = 0;
|
|
|
// Check the test case of `test/ut/spec/data/List.js`.
|
for (let i = 0, len = this.count(); i < len; i++) {
|
const dataIndex = this.getRawIndex(i);
|
const diff = value - (dimData[dataIndex] as number);
|
const dist = Math.abs(diff);
|
if (dist <= maxDistance) {
|
// When the `value` is at the middle of `this.get(dim, i)` and `this.get(dim, i+1)`,
|
// we'd better not push both of them to `nearestIndices`, otherwise it is easy to
|
// get more than one item in `nearestIndices` (more specifically, in `tooltip`).
|
// So we chose the one that `diff >= 0` in this csae.
|
// But if `this.get(dim, i)` and `this.get(dim, j)` get the same value, both of them
|
// should be push to `nearestIndices`.
|
if (dist < minDist
|
|| (dist === minDist && diff >= 0 && minDiff < 0)
|
) {
|
minDist = dist;
|
minDiff = diff;
|
nearestIndicesLen = 0;
|
}
|
if (diff === minDiff) {
|
nearestIndices[nearestIndicesLen++] = i;
|
}
|
}
|
}
|
nearestIndices.length = nearestIndicesLen;
|
|
return nearestIndices;
|
}
|
|
/**
|
* Get raw data index.
|
* Do not initialize.
|
* Default `getRawIndex`. And it can be changed.
|
*/
|
getRawIndex: (idx: number) => number = getRawIndexWithoutIndices;
|
|
/**
|
* Get raw data item
|
*/
|
getRawDataItem(idx: number): OptionDataItem {
|
if (!this._rawData.persistent) {
|
const val = [];
|
for (let i = 0; i < this.dimensions.length; i++) {
|
const dim = this.dimensions[i];
|
val.push(this.get(dim, idx));
|
}
|
return val;
|
}
|
else {
|
return this._rawData.getItem(this.getRawIndex(idx));
|
}
|
}
|
|
/**
|
* @return Never be null/undefined. `number` will be converted to string. Becuase:
|
* In most cases, name is used in display, where returning a string is more convenient.
|
* In other cases, name is used in query (see `indexOfName`), where we can keep the
|
* rule that name `2` equals to name `'2'`.
|
*/
|
getName(idx: number): string {
|
const rawIndex = this.getRawIndex(idx);
|
let name = this._nameList[rawIndex];
|
if (name == null && this._nameDimIdx != null) {
|
name = getIdNameFromStore(this, this._nameDimIdx, this._nameOrdinalMeta, rawIndex);
|
}
|
if (name == null) {
|
name = '';
|
}
|
return name;
|
}
|
|
/**
|
* @return Never null/undefined. `number` will be converted to string. Becuase:
|
* In all cases having encountered at present, id is used in making diff comparison, which
|
* are usually based on hash map. We can keep the rule that the internal id are always string
|
* (treat `2` is the same as `'2'`) to make the related logic simple.
|
*/
|
getId(idx: number): string {
|
return getId(this, this.getRawIndex(idx));
|
}
|
|
/**
|
* Data iteration
|
* @param ctx default this
|
* @example
|
* list.each('x', function (x, idx) {});
|
* list.each(['x', 'y'], function (x, y, idx) {});
|
* list.each(function (idx) {})
|
*/
|
each<Ctx>(cb: EachCb0<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): void;
|
each<Ctx>(dims: DimensionLoose, cb: EachCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): void;
|
each<Ctx>(dims: [DimensionLoose], cb: EachCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): void;
|
each<Ctx>(dims: [DimensionLoose, DimensionLoose], cb: EachCb2<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): void;
|
each<Ctx>(dims: ItrParamDims, cb: EachCb<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): void;
|
each<Ctx>(
|
dims: ItrParamDims | EachCb<Ctx>,
|
cb: EachCb<Ctx> | Ctx,
|
ctx?: Ctx,
|
ctxCompat?: Ctx
|
): void {
|
'use strict';
|
|
if (!this._count) {
|
return;
|
}
|
|
if (typeof dims === 'function') {
|
ctxCompat = ctx;
|
ctx = cb as Ctx;
|
cb = dims;
|
dims = [];
|
}
|
|
// ctxCompat just for compat echarts3
|
const fCtx = (ctx || ctxCompat || this) as CtxOrList<Ctx>;
|
|
const dimNames = map(normalizeDimensions(dims), this.getDimension, this);
|
|
if (__DEV__) {
|
validateDimensions(this, dimNames);
|
}
|
|
const dimSize = dimNames.length;
|
const dimIndices = map(dimNames, (dimName) => {
|
return this._dimensionInfos[dimName].index;
|
});
|
const storageArr = this._storageArr;
|
|
for (let i = 0, len = this.count(); i < len; i++) {
|
const rawIdx = this.getRawIndex(i);
|
// Simple optimization
|
switch (dimSize) {
|
case 0:
|
(cb as EachCb0<Ctx>).call(fCtx, i);
|
break;
|
case 1:
|
(cb as EachCb1<Ctx>).call(fCtx, storageArr[dimIndices[0]][rawIdx], i);
|
break;
|
case 2:
|
(cb as EachCb2<Ctx>).call(
|
fCtx, storageArr[dimIndices[0]][rawIdx], storageArr[dimIndices[1]][rawIdx], i
|
);
|
break;
|
default:
|
let k = 0;
|
const value = [];
|
for (; k < dimSize; k++) {
|
value[k] = storageArr[dimIndices[k]][rawIdx];
|
}
|
// Index
|
value[k] = i;
|
(cb as EachCb<Ctx>).apply(fCtx, value);
|
}
|
}
|
}
|
|
/**
|
* Data filter
|
*/
|
filterSelf<Ctx>(cb: FilterCb0<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): this;
|
filterSelf<Ctx>(dims: DimensionLoose, cb: FilterCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): this;
|
filterSelf<Ctx>(dims: [DimensionLoose], cb: FilterCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): this;
|
filterSelf<Ctx>(dims: [DimensionLoose, DimensionLoose], cb: FilterCb2<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): this;
|
filterSelf<Ctx>(dims: ItrParamDims, cb: FilterCb<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): this;
|
filterSelf<Ctx>(
|
dims: ItrParamDims | FilterCb<Ctx>,
|
cb: FilterCb<Ctx> | Ctx,
|
ctx?: Ctx,
|
ctxCompat?: Ctx
|
): List {
|
'use strict';
|
|
if (!this._count) {
|
return;
|
}
|
|
if (typeof dims === 'function') {
|
ctxCompat = ctx;
|
ctx = cb as Ctx;
|
cb = dims;
|
dims = [];
|
}
|
|
// ctxCompat just for compat echarts3
|
const fCtx = (ctx || ctxCompat || this) as CtxOrList<Ctx>;
|
|
const dimNames = map(
|
normalizeDimensions(dims), this.getDimension, this
|
);
|
|
if (__DEV__) {
|
validateDimensions(this, dimNames);
|
}
|
|
|
const count = this.count();
|
const Ctor = getIndicesCtor(this);
|
const newIndices = new Ctor(count);
|
const value = [];
|
const dimSize = dimNames.length;
|
|
let offset = 0;
|
const dimIndices = map(dimNames, (dimName) => {
|
return this._dimensionInfos[dimName].index;
|
});
|
const dim0 = dimIndices[0];
|
const storageArr = this._storageArr;
|
|
for (let i = 0; i < count; i++) {
|
let keep;
|
const rawIdx = this.getRawIndex(i);
|
// Simple optimization
|
if (dimSize === 0) {
|
keep = (cb as FilterCb0<Ctx>).call(fCtx, i);
|
}
|
else if (dimSize === 1) {
|
const val = storageArr[dim0][rawIdx];
|
keep = (cb as FilterCb1<Ctx>).call(fCtx, val, i);
|
}
|
else {
|
let k = 0;
|
for (; k < dimSize; k++) {
|
value[k] = storageArr[dimIndices[k]][rawIdx];
|
}
|
value[k] = i;
|
keep = (cb as FilterCb<Ctx>).apply(fCtx, value);
|
}
|
if (keep) {
|
newIndices[offset++] = rawIdx;
|
}
|
}
|
|
// Set indices after filtered.
|
if (offset < count) {
|
this._indices = newIndices;
|
}
|
this._count = offset;
|
// Reset data extent
|
this._extent = {};
|
|
this.getRawIndex = this._indices ? getRawIndexWithIndices : getRawIndexWithoutIndices;
|
|
return this;
|
}
|
|
/**
|
* Select data in range. (For optimization of filter)
|
* (Manually inline code, support 5 million data filtering in data zoom.)
|
*/
|
selectRange(range: {[dimName: string]: [number, number]}): List {
|
'use strict';
|
|
const len = this._count;
|
|
if (!len) {
|
return;
|
}
|
|
const dimensions = [];
|
for (const dim in range) {
|
if (range.hasOwnProperty(dim)) {
|
dimensions.push(dim);
|
}
|
}
|
|
if (__DEV__) {
|
validateDimensions(this, dimensions);
|
}
|
|
const dimSize = dimensions.length;
|
if (!dimSize) {
|
return;
|
}
|
|
const originalCount = this.count();
|
const Ctor = getIndicesCtor(this);
|
const newIndices = new Ctor(originalCount);
|
|
let offset = 0;
|
const dim0 = dimensions[0];
|
const dimIndices = map(dimensions, (dimName) => {
|
return this._dimensionInfos[dimName].index;
|
});
|
|
const min = range[dim0][0];
|
const max = range[dim0][1];
|
const storageArr = this._storageArr;
|
|
let quickFinished = false;
|
if (!this._indices) {
|
// Extreme optimization for common case. About 2x faster in chrome.
|
let idx = 0;
|
if (dimSize === 1) {
|
const dimStorage = storageArr[dimIndices[0]];
|
for (let i = 0; i < len; i++) {
|
const val = dimStorage[i];
|
// NaN will not be filtered. Consider the case, in line chart, empty
|
// value indicates the line should be broken. But for the case like
|
// scatter plot, a data item with empty value will not be rendered,
|
// but the axis extent may be effected if some other dim of the data
|
// item has value. Fortunately it is not a significant negative effect.
|
if (
|
(val >= min && val <= max) || isNaN(val as any)
|
) {
|
newIndices[offset++] = idx;
|
}
|
idx++;
|
}
|
quickFinished = true;
|
}
|
else if (dimSize === 2) {
|
const dimStorage = storageArr[dimIndices[0]];
|
const dimStorage2 = storageArr[dimIndices[1]];
|
const min2 = range[dimensions[1]][0];
|
const max2 = range[dimensions[1]][1];
|
for (let i = 0; i < len; i++) {
|
const val = dimStorage[i];
|
const val2 = dimStorage2[i];
|
// Do not filter NaN, see comment above.
|
if ((
|
(val >= min && val <= max) || isNaN(val as any)
|
)
|
&& (
|
(val2 >= min2 && val2 <= max2) || isNaN(val2 as any)
|
)
|
) {
|
newIndices[offset++] = idx;
|
}
|
idx++;
|
}
|
quickFinished = true;
|
}
|
}
|
if (!quickFinished) {
|
if (dimSize === 1) {
|
for (let i = 0; i < originalCount; i++) {
|
const rawIndex = this.getRawIndex(i);
|
const val = storageArr[dimIndices[0]][rawIndex];
|
// Do not filter NaN, see comment above.
|
if (
|
(val >= min && val <= max) || isNaN(val as any)
|
) {
|
newIndices[offset++] = rawIndex;
|
}
|
}
|
}
|
else {
|
for (let i = 0; i < originalCount; i++) {
|
let keep = true;
|
const rawIndex = this.getRawIndex(i);
|
for (let k = 0; k < dimSize; k++) {
|
const dimk = dimensions[k];
|
const val = storageArr[dimIndices[k]][rawIndex];
|
// Do not filter NaN, see comment above.
|
if (val < range[dimk][0] || val > range[dimk][1]) {
|
keep = false;
|
}
|
}
|
if (keep) {
|
newIndices[offset++] = this.getRawIndex(i);
|
}
|
}
|
}
|
}
|
|
// Set indices after filtered.
|
if (offset < originalCount) {
|
this._indices = newIndices;
|
}
|
this._count = offset;
|
// Reset data extent
|
this._extent = {};
|
|
this.getRawIndex = this._indices ? getRawIndexWithIndices : getRawIndexWithoutIndices;
|
|
return this;
|
}
|
|
/**
|
* Data mapping to a plain array
|
*/
|
mapArray<Ctx, Cb extends MapArrayCb0<Ctx>>(cb: Cb, ctx?: Ctx, ctxCompat?: Ctx): ReturnType<Cb>[];
|
/* eslint-disable */
|
mapArray<Ctx, Cb extends MapArrayCb1<Ctx>>(dims: DimensionLoose, cb: Cb, ctx?: Ctx, ctxCompat?: Ctx): ReturnType<Cb>[];
|
mapArray<Ctx, Cb extends MapArrayCb1<Ctx>>(dims: [DimensionLoose], cb: Cb, ctx?: Ctx, ctxCompat?: Ctx): ReturnType<Cb>[];
|
mapArray<Ctx, Cb extends MapArrayCb2<Ctx>>(dims: [DimensionLoose, DimensionLoose], cb: Cb, ctx?: Ctx, ctxCompat?: Ctx): ReturnType<Cb>[];
|
mapArray<Ctx, Cb extends MapArrayCb<Ctx>>(dims: ItrParamDims, cb: Cb, ctx?: Ctx, ctxCompat?: Ctx): ReturnType<Cb>[];
|
/* eslint-enable */
|
mapArray<Ctx>(
|
dims: ItrParamDims | MapArrayCb<Ctx>,
|
cb: MapArrayCb<Ctx> | Ctx,
|
ctx?: Ctx,
|
ctxCompat?: Ctx
|
): any[] {
|
'use strict';
|
|
if (typeof dims === 'function') {
|
ctxCompat = ctx;
|
ctx = cb as Ctx;
|
cb = dims;
|
dims = [];
|
}
|
|
// ctxCompat just for compat echarts3
|
ctx = (ctx || ctxCompat || this) as Ctx;
|
|
const result: any[] = [];
|
this.each(dims, function () {
|
result.push(cb && (cb as MapArrayCb<Ctx>).apply(this, arguments));
|
}, ctx);
|
return result;
|
}
|
|
/**
|
* Data mapping to a new List with given dimensions
|
*/
|
map<Ctx>(dims: DimensionLoose, cb: MapCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): List<HostModel>;
|
map<Ctx>(dims: [DimensionLoose], cb: MapCb1<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): List<HostModel>;
|
map<Ctx>(dims: [DimensionLoose, DimensionLoose], cb: MapCb2<Ctx>, ctx?: Ctx, ctxCompat?: Ctx): List<HostModel>;
|
map<Ctx>(
|
dims: ItrParamDims,
|
cb: MapCb<Ctx>,
|
ctx?: Ctx,
|
ctxCompat?: Ctx
|
): List {
|
'use strict';
|
|
// ctxCompat just for compat echarts3
|
const fCtx = (ctx || ctxCompat || this) as CtxOrList<Ctx>;
|
|
const dimNames = map(
|
normalizeDimensions(dims), this.getDimension, this
|
);
|
|
if (__DEV__) {
|
validateDimensions(this, dimNames);
|
}
|
|
const list = cloneListForMapAndSample(this, dimNames);
|
const storage = list._storage;
|
|
// Following properties are all immutable.
|
// So we can reference to the same value
|
list._indices = this._indices;
|
list.getRawIndex = list._indices ? getRawIndexWithIndices : getRawIndexWithoutIndices;
|
|
const tmpRetValue = [];
|
const dimSize = dimNames.length;
|
const dataCount = this.count();
|
const values = [];
|
const rawExtent = list._rawExtent;
|
|
for (let dataIndex = 0; dataIndex < dataCount; dataIndex++) {
|
for (let dimIndex = 0; dimIndex < dimSize; dimIndex++) {
|
values[dimIndex] = this.get(dimNames[dimIndex], dataIndex);
|
}
|
values[dimSize] = dataIndex;
|
|
let retValue = cb && cb.apply(fCtx, values);
|
if (retValue != null) {
|
// a number or string (in oridinal dimension)?
|
if (typeof retValue !== 'object') {
|
tmpRetValue[0] = retValue;
|
retValue = tmpRetValue;
|
}
|
|
const rawIndex = this.getRawIndex(dataIndex);
|
|
for (let i = 0; i < retValue.length; i++) {
|
const dim = dimNames[i];
|
const val = retValue[i];
|
const rawExtentOnDim = rawExtent[dim];
|
|
const dimStore = storage[dim];
|
if (dimStore) {
|
dimStore[rawIndex] = val;
|
}
|
|
if (val < rawExtentOnDim[0]) {
|
rawExtentOnDim[0] = val as number;
|
}
|
if (val > rawExtentOnDim[1]) {
|
rawExtentOnDim[1] = val as number;
|
}
|
}
|
}
|
}
|
|
return list;
|
}
|
|
/**
|
* Large data down sampling on given dimension
|
* @param sampleIndex Sample index for name and id
|
*/
|
downSample(
|
dimension: DimensionName,
|
rate: number,
|
sampleValue: (frameValues: ArrayLike<ParsedValue>) => ParsedValueNumeric,
|
sampleIndex: (frameValues: ArrayLike<ParsedValue>, value: ParsedValueNumeric) => number
|
): List<HostModel> {
|
const list = cloneListForMapAndSample(this, [dimension]);
|
const targetStorage = list._storage;
|
|
const frameValues = [];
|
let frameSize = mathFloor(1 / rate);
|
|
const dimStore = targetStorage[dimension];
|
const len = this.count();
|
const rawExtentOnDim = list._rawExtent[dimension];
|
|
const newIndices = new (getIndicesCtor(this))(len);
|
|
let offset = 0;
|
for (let i = 0; i < len; i += frameSize) {
|
// Last frame
|
if (frameSize > len - i) {
|
frameSize = len - i;
|
frameValues.length = frameSize;
|
}
|
for (let k = 0; k < frameSize; k++) {
|
const dataIdx = this.getRawIndex(i + k);
|
frameValues[k] = dimStore[dataIdx];
|
}
|
const value = sampleValue(frameValues);
|
const sampleFrameIdx = this.getRawIndex(
|
Math.min(i + sampleIndex(frameValues, value) || 0, len - 1)
|
);
|
// Only write value on the filtered data
|
dimStore[sampleFrameIdx] = value;
|
|
if (value < rawExtentOnDim[0]) {
|
rawExtentOnDim[0] = value;
|
}
|
if (value > rawExtentOnDim[1]) {
|
rawExtentOnDim[1] = value;
|
}
|
|
newIndices[offset++] = sampleFrameIdx;
|
}
|
|
list._count = offset;
|
list._indices = newIndices;
|
|
list.getRawIndex = getRawIndexWithIndices;
|
|
return list as List<HostModel>;
|
}
|
|
/**
|
* Large data down sampling using largest-triangle-three-buckets
|
* @param {string} valueDimension
|
* @param {number} targetCount
|
*/
|
lttbDownSample(
|
valueDimension: DimensionName,
|
rate: number
|
) {
|
const list = cloneListForMapAndSample(this, []);
|
const targetStorage = list._storage;
|
const dimStore = targetStorage[valueDimension];
|
const len = this.count();
|
const newIndices = new (getIndicesCtor(this))(len);
|
|
let sampledIndex = 0;
|
|
const frameSize = mathFloor(1 / rate);
|
|
let currentRawIndex = this.getRawIndex(0);
|
let maxArea;
|
let area;
|
let nextRawIndex;
|
|
// First frame use the first data.
|
newIndices[sampledIndex++] = currentRawIndex;
|
for (let i = 1; i < len - 1; i += frameSize) {
|
const nextFrameStart = Math.min(i + frameSize, len - 1);
|
const nextFrameEnd = Math.min(i + frameSize * 2, len);
|
|
const avgX = (nextFrameEnd + nextFrameStart) / 2;
|
let avgY = 0;
|
|
for (let idx = nextFrameStart; idx < nextFrameEnd; idx++) {
|
const rawIndex = this.getRawIndex(idx);
|
const y = dimStore[rawIndex] as number;
|
if (isNaN(y)) {
|
continue;
|
}
|
avgY += y as number;
|
}
|
avgY /= (nextFrameEnd - nextFrameStart);
|
|
const frameStart = i;
|
const frameEnd = Math.min(i + frameSize, len);
|
|
const pointAX = i - 1;
|
const pointAY = dimStore[currentRawIndex] as number;
|
|
maxArea = -1;
|
|
nextRawIndex = frameStart;
|
// Find a point from current frame that construct a triangel with largest area with previous selected point
|
// And the average of next frame.
|
for (let idx = frameStart; idx < frameEnd; idx++) {
|
const rawIndex = this.getRawIndex(idx);
|
const y = dimStore[rawIndex] as number;
|
if (isNaN(y)) {
|
continue;
|
}
|
// Calculate triangle area over three buckets
|
area = Math.abs((pointAX - avgX) * (y - pointAY)
|
- (pointAX - idx) * (avgY - pointAY)
|
);
|
if (area > maxArea) {
|
maxArea = area;
|
nextRawIndex = rawIndex; // Next a is this b
|
}
|
}
|
|
newIndices[sampledIndex++] = nextRawIndex;
|
|
currentRawIndex = nextRawIndex; // This a is the next a (chosen b)
|
}
|
|
// First frame use the last data.
|
newIndices[sampledIndex++] = this.getRawIndex(len - 1);
|
list._count = sampledIndex;
|
list._indices = newIndices;
|
|
list.getRawIndex = getRawIndexWithIndices;
|
return list;
|
}
|
|
|
/**
|
* Get model of one data item.
|
*/
|
// TODO: Type of data item
|
getItemModel<ItemOpts extends unknown = unknown>(idx: number): Model<ItemOpts
|
// Extract item option with value key. FIXME will cause incompatitable issue
|
// Extract<HostModel['option']['data'][number], { value?: any }>
|
> {
|
const hostModel = this.hostModel;
|
const dataItem = this.getRawDataItem(idx) as ModelOption;
|
return new Model(dataItem, hostModel, hostModel && hostModel.ecModel);
|
}
|
|
/**
|
* Create a data differ
|
*/
|
diff(otherList: List): DataDiffer {
|
const thisList = this;
|
|
return new DataDiffer(
|
otherList ? otherList.getIndices() : [],
|
this.getIndices(),
|
function (idx: number) {
|
return getId(otherList, idx);
|
},
|
function (idx: number) {
|
return getId(thisList, idx);
|
}
|
);
|
}
|
|
/**
|
* Get visual property.
|
*/
|
getVisual<K extends keyof Visual>(key: K): Visual[K] {
|
const visual = this._visual as Visual;
|
return visual && visual[key];
|
}
|
|
/**
|
* Set visual property
|
*
|
* @example
|
* setVisual('color', color);
|
* setVisual({
|
* 'color': color
|
* });
|
*/
|
setVisual<K extends keyof Visual>(key: K, val: Visual[K]): void;
|
setVisual(kvObj: Partial<Visual>): void;
|
setVisual(kvObj: string | Partial<Visual>, val?: any): void {
|
this._visual = this._visual || {};
|
if (isObject(kvObj)) {
|
zrUtil.extend(this._visual, kvObj);
|
}
|
else {
|
this._visual[kvObj as string] = val;
|
}
|
}
|
|
/**
|
* Get visual property of single data item
|
*/
|
// eslint-disable-next-line
|
getItemVisual<K extends keyof Visual>(idx: number, key: K): Visual[K] {
|
const itemVisual = this._itemVisuals[idx] as Visual;
|
const val = itemVisual && itemVisual[key];
|
if (val == null) {
|
// Use global visual property
|
return this.getVisual(key);
|
}
|
return val;
|
}
|
|
/**
|
* If exists visual property of single data item
|
*/
|
hasItemVisual() {
|
return this._itemVisuals.length > 0;
|
}
|
|
/**
|
* Make sure itemVisual property is unique
|
*/
|
// TODO: use key to save visual to reduce memory.
|
ensureUniqueItemVisual<K extends keyof Visual>(idx: number, key: K): Visual[K] {
|
const itemVisuals = this._itemVisuals;
|
let itemVisual = itemVisuals[idx] as Visual;
|
if (!itemVisual) {
|
itemVisual = itemVisuals[idx] = {} as Visual;
|
}
|
let val = itemVisual[key];
|
if (val == null) {
|
val = this.getVisual(key);
|
|
// TODO Performance?
|
if (zrUtil.isArray(val)) {
|
val = val.slice() as unknown as Visual[K];
|
}
|
else if (isObject(val)) {
|
val = zrUtil.extend({}, val);
|
}
|
|
itemVisual[key] = val;
|
}
|
return val;
|
}
|
/**
|
* Set visual property of single data item
|
*
|
* @param {number} idx
|
* @param {string|Object} key
|
* @param {*} [value]
|
*
|
* @example
|
* setItemVisual(0, 'color', color);
|
* setItemVisual(0, {
|
* 'color': color
|
* });
|
*/
|
// eslint-disable-next-line
|
setItemVisual<K extends keyof Visual>(idx: number, key: K, value: Visual[K]): void;
|
setItemVisual(idx: number, kvObject: Partial<Visual>): void;
|
// eslint-disable-next-line
|
setItemVisual<K extends keyof Visual>(idx: number, key: K | Partial<Visual>, value?: Visual[K]): void {
|
const itemVisual = this._itemVisuals[idx] || {};
|
this._itemVisuals[idx] = itemVisual;
|
|
if (isObject(key)) {
|
zrUtil.extend(itemVisual, key);
|
}
|
else {
|
itemVisual[key as string] = value;
|
}
|
}
|
|
/**
|
* Clear itemVisuals and list visual.
|
*/
|
clearAllVisual(): void {
|
this._visual = {};
|
this._itemVisuals = [];
|
}
|
|
/**
|
* Set layout property.
|
*/
|
setLayout(key: string, val: any): void;
|
setLayout(kvObj: Dictionary<any>): void;
|
setLayout(key: string | Dictionary<any>, val?: any): void {
|
if (isObject(key)) {
|
for (const name in key) {
|
if (key.hasOwnProperty(name)) {
|
this.setLayout(name, key[name]);
|
}
|
}
|
return;
|
}
|
this._layout[key] = val;
|
}
|
|
/**
|
* Get layout property.
|
*/
|
getLayout(key: string): any {
|
return this._layout[key];
|
}
|
|
/**
|
* Get layout of single data item
|
*/
|
getItemLayout(idx: number): any {
|
return this._itemLayouts[idx];
|
}
|
|
/**
|
* Set layout of single data item
|
*/
|
setItemLayout<M = false>(
|
idx: number,
|
layout: (M extends true ? Dictionary<any> : any),
|
merge?: M
|
): void {
|
this._itemLayouts[idx] = merge
|
? zrUtil.extend(this._itemLayouts[idx] || {}, layout)
|
: layout;
|
}
|
|
/**
|
* Clear all layout of single data item
|
*/
|
clearItemLayouts(): void {
|
this._itemLayouts.length = 0;
|
}
|
|
/**
|
* Set graphic element relative to data. It can be set as null
|
*/
|
setItemGraphicEl(idx: number, el: Element): void {
|
const hostModel = this.hostModel;
|
|
if (el) {
|
const ecData = getECData(el);
|
// Add data index and series index for indexing the data by element
|
// Useful in tooltip
|
ecData.dataIndex = idx;
|
ecData.dataType = this.dataType;
|
ecData.seriesIndex = hostModel && (hostModel as any).seriesIndex;
|
|
// TODO: not store dataIndex on children.
|
if (el.type === 'group') {
|
el.traverse(setItemDataAndSeriesIndex, el);
|
}
|
}
|
|
this._graphicEls[idx] = el;
|
}
|
|
getItemGraphicEl(idx: number): Element {
|
return this._graphicEls[idx];
|
}
|
|
eachItemGraphicEl<Ctx = unknown>(
|
cb: (this: Ctx, el: Element, idx: number) => void,
|
context?: Ctx
|
): void {
|
zrUtil.each(this._graphicEls, function (el, idx) {
|
if (el) {
|
cb && cb.call(context, el, idx);
|
}
|
});
|
}
|
|
/**
|
* Shallow clone a new list except visual and layout properties, and graph elements.
|
* New list only change the indices.
|
*/
|
cloneShallow(list?: List<HostModel>): List<HostModel> {
|
if (!list) {
|
const dimensionInfoList = map(this.dimensions, this.getDimensionInfo, this);
|
list = new List(dimensionInfoList, this.hostModel);
|
}
|
|
// FIXME
|
list._storage = this._storage;
|
list._storageArr = this._storageArr;
|
|
transferProperties(list, this);
|
|
// Clone will not change the data extent and indices
|
if (this._indices) {
|
const Ctor = this._indices.constructor as DataArrayLikeConstructor;
|
if (Ctor === Array) {
|
const thisCount = this._indices.length;
|
list._indices = new Ctor(thisCount);
|
for (let i = 0; i < thisCount; i++) {
|
list._indices[i] = this._indices[i];
|
}
|
}
|
else {
|
list._indices = new (Ctor as DataTypedArrayConstructor)(this._indices);
|
}
|
}
|
else {
|
list._indices = null;
|
}
|
list.getRawIndex = list._indices ? getRawIndexWithIndices : getRawIndexWithoutIndices;
|
|
return list;
|
}
|
|
/**
|
* Wrap some method to add more feature
|
*/
|
wrapMethod(
|
methodName: FunctionPropertyNames<List>,
|
injectFunction: (...args: any) => any
|
): void {
|
const originalMethod = this[methodName];
|
if (typeof originalMethod !== 'function') {
|
return;
|
}
|
this.__wrappedMethods = this.__wrappedMethods || [];
|
this.__wrappedMethods.push(methodName);
|
this[methodName] = function () {
|
const res = (originalMethod as any).apply(this, arguments);
|
return injectFunction.apply(this, [res].concat(zrUtil.slice(arguments)));
|
};
|
}
|
|
|
// ----------------------------------------------------------
|
// A work around for internal method visiting private member.
|
// ----------------------------------------------------------
|
private static internalField = (function () {
|
|
defaultDimValueGetters = {
|
|
arrayRows: getDimValueSimply,
|
|
objectRows: function (
|
this: List, dataItem: Dictionary<any>, dimName: string, dataIndex: number, dimIndex: number
|
): ParsedValue {
|
return parseDataValue(dataItem[dimName], this._dimensionInfos[dimName]);
|
},
|
|
keyedColumns: getDimValueSimply,
|
|
original: function (
|
this: List, dataItem: any, dimName: string, dataIndex: number, dimIndex: number
|
): ParsedValue {
|
// Performance sensitive, do not use modelUtil.getDataItemValue.
|
// If dataItem is an plain object with no value field, the let `value`
|
// will be assigned with the object, but it will be tread correctly
|
// in the `convertValue`.
|
const value = dataItem && (dataItem.value == null ? dataItem : dataItem.value);
|
|
// If any dataItem is like { value: 10 }
|
if (!this._rawData.pure && isDataItemOption(dataItem)) {
|
this.hasItemOption = true;
|
}
|
return parseDataValue(
|
(value instanceof Array)
|
? value[dimIndex]
|
// If value is a single number or something else not array.
|
: value,
|
this._dimensionInfos[dimName]
|
);
|
},
|
|
typedArray: function (
|
this: List, dataItem: any, dimName: string, dataIndex: number, dimIndex: number
|
): ParsedValue {
|
return dataItem[dimIndex];
|
}
|
|
};
|
|
function getDimValueSimply(
|
this: List, dataItem: any, dimName: string, dataIndex: number, dimIndex: number
|
): ParsedValue {
|
return parseDataValue(dataItem[dimIndex], this._dimensionInfos[dimName]);
|
}
|
|
prepareInvertedIndex = function (list: List): void {
|
const invertedIndicesMap = list._invertedIndicesMap;
|
zrUtil.each(invertedIndicesMap, function (invertedIndices, dim) {
|
const dimInfo = list._dimensionInfos[dim];
|
|
// Currently, only dimensions that has ordinalMeta can create inverted indices.
|
const ordinalMeta = dimInfo.ordinalMeta;
|
if (ordinalMeta) {
|
invertedIndices = invertedIndicesMap[dim] = new CtorInt32Array(
|
ordinalMeta.categories.length
|
);
|
// The default value of TypedArray is 0. To avoid miss
|
// mapping to 0, we should set it as INDEX_NOT_FOUND.
|
for (let i = 0; i < invertedIndices.length; i++) {
|
invertedIndices[i] = INDEX_NOT_FOUND;
|
}
|
for (let i = 0; i < list._count; i++) {
|
// Only support the case that all values are distinct.
|
invertedIndices[list.get(dim, i) as number] = i;
|
}
|
}
|
});
|
};
|
|
getIdNameFromStore = function (
|
list: List, dimIdx: number, ordinalMeta: OrdinalMeta, rawIndex: number
|
): string {
|
let val;
|
const chunk = list._storageArr[dimIdx];
|
if (chunk) {
|
val = chunk[rawIndex];
|
if (ordinalMeta && ordinalMeta.categories.length) {
|
val = ordinalMeta.categories[val as OrdinalNumber];
|
}
|
}
|
return convertOptionIdName(val, null);
|
};
|
|
getIndicesCtor = function (list: List): DataArrayLikeConstructor {
|
// The possible max value in this._indicies is always this._rawCount despite of filtering.
|
return list._rawCount > 65535 ? CtorUint32Array : CtorUint16Array;
|
};
|
|
prepareStorage = function (
|
storage: DataStorage,
|
dimInfo: DataDimensionInfo,
|
end: number,
|
append?: boolean
|
): void {
|
const DataCtor = dataCtors[dimInfo.type];
|
const dim = dimInfo.name;
|
|
if (append) {
|
const oldStore = storage[dim];
|
const oldLen = oldStore && oldStore.length;
|
if (!(oldLen === end)) {
|
const newStore = new DataCtor(end);
|
// The cost of the copy is probably inconsiderable
|
// within the initial chunkSize.
|
for (let j = 0; j < oldLen; j++) {
|
newStore[j] = oldStore[j];
|
}
|
storage[dim] = newStore;
|
}
|
}
|
else {
|
storage[dim] = new DataCtor(end);
|
}
|
};
|
|
getRawIndexWithoutIndices = function (this: List, idx: number): number {
|
return idx;
|
};
|
|
getRawIndexWithIndices = function (this: List, idx: number): number {
|
if (idx < this._count && idx >= 0) {
|
return this._indices[idx];
|
}
|
return -1;
|
};
|
|
/**
|
* @see the comment of `List['getId']`.
|
*/
|
getId = function (list: List, rawIndex: number): string {
|
let id = list._idList[rawIndex];
|
if (id == null && list._idDimIdx != null) {
|
id = getIdNameFromStore(list, list._idDimIdx, list._idOrdinalMeta, rawIndex);
|
}
|
if (id == null) {
|
id = ID_PREFIX + rawIndex;
|
}
|
return id;
|
};
|
|
normalizeDimensions = function (
|
dimensions: ItrParamDims
|
): Array<DimensionLoose> {
|
if (!zrUtil.isArray(dimensions)) {
|
dimensions = dimensions != null ? [dimensions] : [];
|
}
|
return dimensions;
|
};
|
|
validateDimensions = function (list: List, dims: DimensionName[]): void {
|
for (let i = 0; i < dims.length; i++) {
|
// stroage may be empty when no data, so use
|
// dimensionInfos to check.
|
if (!list._dimensionInfos[dims[i]]) {
|
console.error('Unkown dimension ' + dims[i]);
|
}
|
}
|
};
|
|
// Data in excludeDimensions is copied, otherwise transfered.
|
cloneListForMapAndSample = function (
|
original: List, excludeDimensions: DimensionName[]
|
): List {
|
const allDimensions = original.dimensions;
|
const list = new List(
|
map(allDimensions, original.getDimensionInfo, original),
|
original.hostModel
|
);
|
// FIXME If needs stackedOn, value may already been stacked
|
transferProperties(list, original);
|
|
const storage = list._storage = {} as DataStorage;
|
const originalStorage = original._storage;
|
const storageArr: DataValueChunk[] = list._storageArr = [];
|
|
// Init storage
|
for (let i = 0; i < allDimensions.length; i++) {
|
const dim = allDimensions[i];
|
if (originalStorage[dim]) {
|
// Notice that we do not reset invertedIndicesMap here, becuase
|
// there is no scenario of mapping or sampling ordinal dimension.
|
if (zrUtil.indexOf(excludeDimensions, dim) >= 0) {
|
storage[dim] = cloneChunk(originalStorage[dim]);
|
list._rawExtent[dim] = getInitialExtent();
|
list._extent[dim] = null;
|
}
|
else {
|
// Direct reference for other dimensions
|
storage[dim] = originalStorage[dim];
|
}
|
storageArr.push(storage[dim]);
|
}
|
}
|
return list;
|
};
|
|
function cloneChunk(originalChunk: DataValueChunk): DataValueChunk {
|
const Ctor = originalChunk.constructor;
|
// Only shallow clone is enough when Array.
|
return Ctor === Array
|
? (originalChunk as Array<ParsedValue>).slice()
|
: new (Ctor as DataTypedArrayConstructor)(originalChunk as DataTypedArray);
|
}
|
|
getInitialExtent = function (): [number, number] {
|
return [Infinity, -Infinity];
|
};
|
|
setItemDataAndSeriesIndex = function (this: Element, child: Element): void {
|
const childECData = getECData(child);
|
const thisECData = getECData(this);
|
childECData.seriesIndex = thisECData.seriesIndex;
|
childECData.dataIndex = thisECData.dataIndex;
|
childECData.dataType = thisECData.dataType;
|
};
|
|
transferProperties = function (target: List, source: List): void {
|
zrUtil.each(
|
TRANSFERABLE_PROPERTIES.concat(source.__wrappedMethods || []),
|
function (propName) {
|
if (source.hasOwnProperty(propName)) {
|
(target as any)[propName] = (source as any)[propName];
|
}
|
}
|
);
|
|
target.__wrappedMethods = source.__wrappedMethods;
|
|
zrUtil.each(CLONE_PROPERTIES, function (propName) {
|
(target as any)[propName] = zrUtil.clone((source as any)[propName]);
|
});
|
|
target._calculationInfo = zrUtil.extend({}, source._calculationInfo);
|
};
|
|
makeIdFromName = function (list: List, idx: number): void {
|
const nameList = list._nameList;
|
const idList = list._idList;
|
const nameDimIdx = list._nameDimIdx;
|
const idDimIdx = list._idDimIdx;
|
|
let name = nameList[idx];
|
let id = idList[idx];
|
|
if (name == null && nameDimIdx != null) {
|
nameList[idx] = name = getIdNameFromStore(list, nameDimIdx, list._nameOrdinalMeta, idx);
|
}
|
if (id == null && idDimIdx != null) {
|
idList[idx] = id = getIdNameFromStore(list, idDimIdx, list._idOrdinalMeta, idx);
|
}
|
if (id == null && name != null) {
|
const nameRepeatCount = list._nameRepeatCount;
|
const nmCnt = nameRepeatCount[name] = (nameRepeatCount[name] || 0) + 1;
|
id = name;
|
if (nmCnt > 1) {
|
id += '__ec__' + nmCnt;
|
}
|
idList[idx] = id;
|
}
|
};
|
|
})();
|
|
}
|
|
interface List {
|
getLinkedData(dataType?: SeriesDataType): List;
|
getLinkedDataAll(): { data: List, type?: SeriesDataType }[];
|
}
|
|
export default List;
|
