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- {"ast":null,"code":"import \"core-js/modules/es.array.push.js\";\nimport \"core-js/modules/es.array-buffer.detached.js\";\nimport \"core-js/modules/es.array-buffer.transfer.js\";\nimport \"core-js/modules/es.array-buffer.transfer-to-fixed-length.js\";\nimport \"core-js/modules/es.iterator.constructor.js\";\nimport \"core-js/modules/es.iterator.filter.js\";\nimport \"core-js/modules/es.iterator.map.js\";\nimport \"core-js/modules/es.typed-array.with.js\";\n/*\n* Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\n/* global Int32Array */\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport Model from '../model/Model.js';\nimport DataDiffer from './DataDiffer.js';\nimport { DefaultDataProvider } from './helper/dataProvider.js';\nimport { summarizeDimensions } from './helper/dimensionHelper.js';\nimport SeriesDimensionDefine from './SeriesDimensionDefine.js';\nimport { SOURCE_FORMAT_TYPED_ARRAY, SOURCE_FORMAT_ORIGINAL } from '../util/types.js';\nimport { convertOptionIdName, isDataItemOption } from '../util/model.js';\nimport { setCommonECData } from '../util/innerStore.js';\nimport { isSourceInstance } from './Source.js';\nimport DataStore from './DataStore.js';\nimport { isSeriesDataSchema } from './helper/SeriesDataSchema.js';\nvar isObject = zrUtil.isObject;\nvar map = zrUtil.map;\nvar CtorInt32Array = typeof Int32Array === 'undefined' ? Array : Int32Array;\n// Use prefix to avoid index to be the same as otherIdList[idx],\n// which will cause weird update animation.\nvar ID_PREFIX = 'e\\0\\0';\nvar INDEX_NOT_FOUND = -1;\n// type SeriesDimensionIndex = DimensionIndex;\nvar TRANSFERABLE_PROPERTIES = ['hasItemOption', '_nameList', '_idList', '_invertedIndicesMap', '_dimSummary', 'userOutput', '_rawData', '_dimValueGetter', '_nameDimIdx', '_idDimIdx', '_nameRepeatCount'];\nvar CLONE_PROPERTIES = ['_approximateExtent'];\n// -----------------------------\n// Internal method declarations:\n// -----------------------------\nvar prepareInvertedIndex;\nvar getId;\nvar getIdNameFromStore;\nvar normalizeDimensions;\nvar transferProperties;\nvar cloneListForMapAndSample;\nvar makeIdFromName;\nvar SeriesData = /** @class */function () {\n /**\r\n * @param dimensionsInput.dimensions\r\n * For example, ['someDimName', {name: 'someDimName', type: 'someDimType'}, ...].\r\n * Dimensions should be concrete names like x, y, z, lng, lat, angle, radius\r\n */\n function SeriesData(dimensionsInput, hostModel) {\n this.type = 'list';\n this._dimOmitted = false;\n this._nameList = [];\n this._idList = [];\n // Models of data option is stored sparse for optimizing memory cost\n // Never used yet (not used yet).\n // private _optionModels: Model[] = [];\n // Global visual properties after visual coding\n this._visual = {};\n // Global layout properties.\n this._layout = {};\n // Item visual properties after visual coding\n this._itemVisuals = [];\n // Item layout properties after layout\n this._itemLayouts = [];\n // Graphic elements\n this._graphicEls = [];\n // key: dim, value: extent\n this._approximateExtent = {};\n this._calculationInfo = {};\n // Having detected that there is data item is non primitive type\n // (in type `OptionDataItemObject`).\n // Like `data: [ { value: xx, itemStyle: {...} }, ...]`\n // At present it only happen in `SOURCE_FORMAT_ORIGINAL`.\n this.hasItemOption = false;\n // Methods that create a new list based on this list should be listed here.\n // Notice that those method should `RETURN` the new list.\n this.TRANSFERABLE_METHODS = ['cloneShallow', 'downSample', 'minmaxDownSample', 'lttbDownSample', 'map'];\n // Methods that change indices of this list should be listed here.\n this.CHANGABLE_METHODS = ['filterSelf', 'selectRange'];\n this.DOWNSAMPLE_METHODS = ['downSample', 'minmaxDownSample', 'lttbDownSample'];\n var dimensions;\n var assignStoreDimIdx = false;\n if (isSeriesDataSchema(dimensionsInput)) {\n dimensions = dimensionsInput.dimensions;\n this._dimOmitted = dimensionsInput.isDimensionOmitted();\n this._schema = dimensionsInput;\n } else {\n assignStoreDimIdx = true;\n dimensions = dimensionsInput;\n }\n dimensions = dimensions || ['x', 'y'];\n var dimensionInfos = {};\n var dimensionNames = [];\n var invertedIndicesMap = {};\n var needsHasOwn = false;\n var emptyObj = {};\n for (var i = 0; i < dimensions.length; i++) {\n // Use the original dimensions[i], where other flag props may exists.\n var dimInfoInput = dimensions[i];\n var dimensionInfo = zrUtil.isString(dimInfoInput) ? new SeriesDimensionDefine({\n name: dimInfoInput\n }) : !(dimInfoInput instanceof SeriesDimensionDefine) ? new SeriesDimensionDefine(dimInfoInput) : dimInfoInput;\n var dimensionName = dimensionInfo.name;\n dimensionInfo.type = dimensionInfo.type || 'float';\n if (!dimensionInfo.coordDim) {\n dimensionInfo.coordDim = dimensionName;\n dimensionInfo.coordDimIndex = 0;\n }\n var otherDims = dimensionInfo.otherDims = dimensionInfo.otherDims || {};\n dimensionNames.push(dimensionName);\n dimensionInfos[dimensionName] = dimensionInfo;\n if (emptyObj[dimensionName] != null) {\n needsHasOwn = true;\n }\n if (dimensionInfo.createInvertedIndices) {\n invertedIndicesMap[dimensionName] = [];\n }\n if (otherDims.itemName === 0) {\n this._nameDimIdx = i;\n }\n if (otherDims.itemId === 0) {\n this._idDimIdx = i;\n }\n if (process.env.NODE_ENV !== 'production') {\n zrUtil.assert(assignStoreDimIdx || dimensionInfo.storeDimIndex >= 0);\n }\n if (assignStoreDimIdx) {\n dimensionInfo.storeDimIndex = i;\n }\n }\n this.dimensions = dimensionNames;\n this._dimInfos = dimensionInfos;\n this._initGetDimensionInfo(needsHasOwn);\n this.hostModel = hostModel;\n this._invertedIndicesMap = invertedIndicesMap;\n if (this._dimOmitted) {\n var dimIdxToName_1 = this._dimIdxToName = zrUtil.createHashMap();\n zrUtil.each(dimensionNames, function (dimName) {\n dimIdxToName_1.set(dimensionInfos[dimName].storeDimIndex, dimName);\n });\n }\n }\n /**\r\n *\r\n * Get concrete dimension name by dimension name or dimension index.\r\n * If input a dimension name, do not validate whether the dimension name exits.\r\n *\r\n * @caution\r\n * @param dim Must make sure the dimension is `SeriesDimensionLoose`.\r\n * Because only those dimensions will have auto-generated dimension names if not\r\n * have a user-specified name, and other dimensions will get a return of null/undefined.\r\n *\r\n * @notice Because of this reason, should better use `getDimensionIndex` instead, for examples:\r\n * ```js\r\n * const val = data.getStore().get(data.getDimensionIndex(dim), dataIdx);\r\n * ```\r\n *\r\n * @return Concrete dim name.\r\n */\n SeriesData.prototype.getDimension = function (dim) {\n var dimIdx = this._recognizeDimIndex(dim);\n if (dimIdx == null) {\n return dim;\n }\n dimIdx = dim;\n if (!this._dimOmitted) {\n return this.dimensions[dimIdx];\n }\n // Retrieve from series dimension definition because it probably contains\n // generated dimension name (like 'x', 'y').\n var dimName = this._dimIdxToName.get(dimIdx);\n if (dimName != null) {\n return dimName;\n }\n var sourceDimDef = this._schema.getSourceDimension(dimIdx);\n if (sourceDimDef) {\n return sourceDimDef.name;\n }\n };\n /**\r\n * Get dimension index in data store. Return -1 if not found.\r\n * Can be used to index value from getRawValue.\r\n */\n SeriesData.prototype.getDimensionIndex = function (dim) {\n var dimIdx = this._recognizeDimIndex(dim);\n if (dimIdx != null) {\n return dimIdx;\n }\n if (dim == null) {\n return -1;\n }\n var dimInfo = this._getDimInfo(dim);\n return dimInfo ? dimInfo.storeDimIndex : this._dimOmitted ? this._schema.getSourceDimensionIndex(dim) : -1;\n };\n /**\r\n * The meanings of the input parameter `dim`:\r\n *\r\n * + If dim is a number (e.g., `1`), it means the index of the dimension.\r\n * For example, `getDimension(0)` will return 'x' or 'lng' or 'radius'.\r\n * + If dim is a number-like string (e.g., `\"1\"`):\r\n * + If there is the same concrete dim name defined in `series.dimensions` or `dataset.dimensions`,\r\n * it means that concrete name.\r\n * + If not, it will be converted to a number, which means the index of the dimension.\r\n * (why? because of the backward compatibility. We have been tolerating number-like string in\r\n * dimension setting, although now it seems that it is not a good idea.)\r\n * For example, `visualMap[i].dimension: \"1\"` is the same meaning as `visualMap[i].dimension: 1`,\r\n * if no dimension name is defined as `\"1\"`.\r\n * + If dim is a not-number-like string, it means the concrete dim name.\r\n * For example, it can be be default name `\"x\"`, `\"y\"`, `\"z\"`, `\"lng\"`, `\"lat\"`, `\"angle\"`, `\"radius\"`,\r\n * or customized in `dimensions` property of option like `\"age\"`.\r\n *\r\n * @return recognized `DimensionIndex`. Otherwise return null/undefined (means that dim is `DimensionName`).\r\n */\n SeriesData.prototype._recognizeDimIndex = function (dim) {\n if (zrUtil.isNumber(dim)\n // If being a number-like string but not being defined as a dimension name.\n || dim != null && !isNaN(dim) && !this._getDimInfo(dim) && (!this._dimOmitted || this._schema.getSourceDimensionIndex(dim) < 0)) {\n return +dim;\n }\n };\n SeriesData.prototype._getStoreDimIndex = function (dim) {\n var dimIdx = this.getDimensionIndex(dim);\n if (process.env.NODE_ENV !== 'production') {\n if (dimIdx == null) {\n throw new Error('Unknown dimension ' + dim);\n }\n }\n return dimIdx;\n };\n /**\r\n * Get type and calculation info of particular dimension\r\n * @param dim\r\n * Dimension can be concrete names like x, y, z, lng, lat, angle, radius\r\n * Or a ordinal number. For example getDimensionInfo(0) will return 'x' or 'lng' or 'radius'\r\n */\n SeriesData.prototype.getDimensionInfo = function (dim) {\n // Do not clone, because there may be categories in dimInfo.\n return this._getDimInfo(this.getDimension(dim));\n };\n SeriesData.prototype._initGetDimensionInfo = function (needsHasOwn) {\n var dimensionInfos = this._dimInfos;\n this._getDimInfo = needsHasOwn ? function (dimName) {\n return dimensionInfos.hasOwnProperty(dimName) ? dimensionInfos[dimName] : undefined;\n } : function (dimName) {\n return dimensionInfos[dimName];\n };\n };\n /**\r\n * concrete dimension name list on coord.\r\n */\n SeriesData.prototype.getDimensionsOnCoord = function () {\n return this._dimSummary.dataDimsOnCoord.slice();\n };\n SeriesData.prototype.mapDimension = function (coordDim, idx) {\n var dimensionsSummary = this._dimSummary;\n if (idx == null) {\n return dimensionsSummary.encodeFirstDimNotExtra[coordDim];\n }\n var dims = dimensionsSummary.encode[coordDim];\n return dims ? dims[idx] : null;\n };\n SeriesData.prototype.mapDimensionsAll = function (coordDim) {\n var dimensionsSummary = this._dimSummary;\n var dims = dimensionsSummary.encode[coordDim];\n return (dims || []).slice();\n };\n SeriesData.prototype.getStore = function () {\n return this._store;\n };\n /**\r\n * Initialize from data\r\n * @param data source or data or data store.\r\n * @param nameList The name of a datum is used on data diff and\r\n * default label/tooltip.\r\n * A name can be specified in encode.itemName,\r\n * or dataItem.name (only for series option data),\r\n * or provided in nameList from outside.\r\n */\n SeriesData.prototype.initData = function (data, nameList, dimValueGetter) {\n var _this = this;\n var store;\n if (data instanceof DataStore) {\n store = data;\n }\n if (!store) {\n var dimensions = this.dimensions;\n var provider = isSourceInstance(data) || zrUtil.isArrayLike(data) ? new DefaultDataProvider(data, dimensions.length) : data;\n store = new DataStore();\n var dimensionInfos = map(dimensions, function (dimName) {\n return {\n type: _this._dimInfos[dimName].type,\n property: dimName\n };\n });\n store.initData(provider, dimensionInfos, dimValueGetter);\n }\n this._store = store;\n // Reset\n this._nameList = (nameList || []).slice();\n this._idList = [];\n this._nameRepeatCount = {};\n this._doInit(0, store.count());\n // Cache summary info for fast visit. See \"dimensionHelper\".\n // Needs to be initialized after store is prepared.\n this._dimSummary = summarizeDimensions(this, this._schema);\n this.userOutput = this._dimSummary.userOutput;\n };\n /**\r\n * Caution: Can be only called on raw data (before `this._indices` created).\r\n */\n SeriesData.prototype.appendData = function (data) {\n var range = this._store.appendData(data);\n this._doInit(range[0], range[1]);\n };\n /**\r\n * Caution: Can be only called on raw data (before `this._indices` created).\r\n * This method does not modify `rawData` (`dataProvider`), but only\r\n * add values to store.\r\n *\r\n * The final count will be increased by `Math.max(values.length, names.length)`.\r\n *\r\n * @param values That is the SourceType: 'arrayRows', like\r\n * [\r\n * [12, 33, 44],\r\n * [NaN, 43, 1],\r\n * ['-', 'asdf', 0]\r\n * ]\r\n * Each item is exactly corresponding to a dimension.\r\n */\n SeriesData.prototype.appendValues = function (values, names) {\n var _a = this._store.appendValues(values, names && names.length),\n start = _a.start,\n end = _a.end;\n var shouldMakeIdFromName = this._shouldMakeIdFromName();\n this._updateOrdinalMeta();\n if (names) {\n for (var idx = start; idx < end; idx++) {\n var sourceIdx = idx - start;\n this._nameList[idx] = names[sourceIdx];\n if (shouldMakeIdFromName) {\n makeIdFromName(this, idx);\n }\n }\n }\n };\n SeriesData.prototype._updateOrdinalMeta = function () {\n var store = this._store;\n var dimensions = this.dimensions;\n for (var i = 0; i < dimensions.length; i++) {\n var dimInfo = this._dimInfos[dimensions[i]];\n if (dimInfo.ordinalMeta) {\n store.collectOrdinalMeta(dimInfo.storeDimIndex, dimInfo.ordinalMeta);\n }\n }\n };\n SeriesData.prototype._shouldMakeIdFromName = function () {\n var provider = this._store.getProvider();\n return this._idDimIdx == null && provider.getSource().sourceFormat !== SOURCE_FORMAT_TYPED_ARRAY && !provider.fillStorage;\n };\n SeriesData.prototype._doInit = function (start, end) {\n if (start >= end) {\n return;\n }\n var store = this._store;\n var provider = store.getProvider();\n this._updateOrdinalMeta();\n var nameList = this._nameList;\n var idList = this._idList;\n var sourceFormat = provider.getSource().sourceFormat;\n var isFormatOriginal = sourceFormat === SOURCE_FORMAT_ORIGINAL;\n // Each data item is value\n // [1, 2]\n // 2\n // Bar chart, line chart which uses category axis\n // only gives the 'y' value. 'x' value is the indices of category\n // Use a tempValue to normalize the value to be a (x, y) value\n // If dataItem is {name: ...} or {id: ...}, it has highest priority.\n // This kind of ids and names are always stored `_nameList` and `_idList`.\n if (isFormatOriginal && !provider.pure) {\n var sharedDataItem = [];\n for (var idx = start; idx < end; idx++) {\n // NOTICE: Try not to write things into dataItem\n var dataItem = provider.getItem(idx, sharedDataItem);\n if (!this.hasItemOption && isDataItemOption(dataItem)) {\n this.hasItemOption = true;\n }\n if (dataItem) {\n var itemName = dataItem.name;\n if (nameList[idx] == null && itemName != null) {\n nameList[idx] = convertOptionIdName(itemName, null);\n }\n var itemId = dataItem.id;\n if (idList[idx] == null && itemId != null) {\n idList[idx] = convertOptionIdName(itemId, null);\n }\n }\n }\n }\n if (this._shouldMakeIdFromName()) {\n for (var idx = start; idx < end; idx++) {\n makeIdFromName(this, idx);\n }\n }\n prepareInvertedIndex(this);\n };\n /**\r\n * PENDING: In fact currently this function is only used to short-circuit\r\n * the calling of `scale.unionExtentFromData` when data have been filtered by modules\r\n * like \"dataZoom\". `scale.unionExtentFromData` is used to calculate data extent for series on\r\n * an axis, but if a \"axis related data filter module\" is used, the extent of the axis have\r\n * been fixed and no need to calling `scale.unionExtentFromData` actually.\r\n * But if we add \"custom data filter\" in future, which is not \"axis related\", this method may\r\n * be still needed.\r\n *\r\n * Optimize for the scenario that data is filtered by a given extent.\r\n * Consider that if data amount is more than hundreds of thousand,\r\n * extent calculation will cost more than 10ms and the cache will\r\n * be erased because of the filtering.\r\n */\n SeriesData.prototype.getApproximateExtent = function (dim) {\n return this._approximateExtent[dim] || this._store.getDataExtent(this._getStoreDimIndex(dim));\n };\n /**\r\n * Calculate extent on a filtered data might be time consuming.\r\n * Approximate extent is only used for: calculate extent of filtered data outside.\r\n */\n SeriesData.prototype.setApproximateExtent = function (extent, dim) {\n dim = this.getDimension(dim);\n this._approximateExtent[dim] = extent.slice();\n };\n SeriesData.prototype.getCalculationInfo = function (key) {\n return this._calculationInfo[key];\n };\n SeriesData.prototype.setCalculationInfo = function (key, value) {\n isObject(key) ? zrUtil.extend(this._calculationInfo, key) : this._calculationInfo[key] = value;\n };\n /**\r\n * @return Never be null/undefined. `number` will be converted to string. Because:\r\n * In most cases, name is used in display, where returning a string is more convenient.\r\n * In other cases, name is used in query (see `indexOfName`), where we can keep the\r\n * rule that name `2` equals to name `'2'`.\r\n */\n SeriesData.prototype.getName = function (idx) {\n var rawIndex = this.getRawIndex(idx);\n var name = this._nameList[rawIndex];\n if (name == null && this._nameDimIdx != null) {\n name = getIdNameFromStore(this, this._nameDimIdx, rawIndex);\n }\n if (name == null) {\n name = '';\n }\n return name;\n };\n SeriesData.prototype._getCategory = function (dimIdx, idx) {\n var ordinal = this._store.get(dimIdx, idx);\n var ordinalMeta = this._store.getOrdinalMeta(dimIdx);\n if (ordinalMeta) {\n return ordinalMeta.categories[ordinal];\n }\n return ordinal;\n };\n /**\r\n * @return Never null/undefined. `number` will be converted to string. Because:\r\n * In all cases having encountered at present, id is used in making diff comparison, which\r\n * are usually based on hash map. We can keep the rule that the internal id are always string\r\n * (treat `2` is the same as `'2'`) to make the related logic simple.\r\n */\n SeriesData.prototype.getId = function (idx) {\n return getId(this, this.getRawIndex(idx));\n };\n SeriesData.prototype.count = function () {\n return this._store.count();\n };\n /**\r\n * Get value. Return NaN if idx is out of range.\r\n *\r\n * @notice Should better to use `data.getStore().get(dimIndex, dataIdx)` instead.\r\n */\n SeriesData.prototype.get = function (dim, idx) {\n var store = this._store;\n var dimInfo = this._dimInfos[dim];\n if (dimInfo) {\n return store.get(dimInfo.storeDimIndex, idx);\n }\n };\n /**\r\n * @notice Should better to use `data.getStore().getByRawIndex(dimIndex, dataIdx)` instead.\r\n */\n SeriesData.prototype.getByRawIndex = function (dim, rawIdx) {\n var store = this._store;\n var dimInfo = this._dimInfos[dim];\n if (dimInfo) {\n return store.getByRawIndex(dimInfo.storeDimIndex, rawIdx);\n }\n };\n SeriesData.prototype.getIndices = function () {\n return this._store.getIndices();\n };\n SeriesData.prototype.getDataExtent = function (dim) {\n return this._store.getDataExtent(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getSum = function (dim) {\n return this._store.getSum(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getMedian = function (dim) {\n return this._store.getMedian(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getValues = function (dimensions, idx) {\n var _this = this;\n var store = this._store;\n return zrUtil.isArray(dimensions) ? store.getValues(map(dimensions, function (dim) {\n return _this._getStoreDimIndex(dim);\n }), idx) : store.getValues(dimensions);\n };\n /**\r\n * If value is NaN. Including '-'\r\n * Only check the coord dimensions.\r\n */\n SeriesData.prototype.hasValue = function (idx) {\n var dataDimIndicesOnCoord = this._dimSummary.dataDimIndicesOnCoord;\n for (var i = 0, len = dataDimIndicesOnCoord.length; i < len; i++) {\n // Ordinal type originally can be string or number.\n // But when an ordinal type is used on coord, it can\n // not be string but only number. So we can also use isNaN.\n if (isNaN(this._store.get(dataDimIndicesOnCoord[i], idx))) {\n return false;\n }\n }\n return true;\n };\n /**\r\n * Retrieve the index with given name\r\n */\n SeriesData.prototype.indexOfName = function (name) {\n for (var i = 0, len = this._store.count(); i < len; i++) {\n if (this.getName(i) === name) {\n return i;\n }\n }\n return -1;\n };\n SeriesData.prototype.getRawIndex = function (idx) {\n return this._store.getRawIndex(idx);\n };\n SeriesData.prototype.indexOfRawIndex = function (rawIndex) {\n return this._store.indexOfRawIndex(rawIndex);\n };\n /**\r\n * Only support the dimension which inverted index created.\r\n * Do not support other cases until required.\r\n * @param dim concrete dim\r\n * @param value ordinal index\r\n * @return rawIndex\r\n */\n SeriesData.prototype.rawIndexOf = function (dim, value) {\n var invertedIndices = dim && this._invertedIndicesMap[dim];\n if (process.env.NODE_ENV !== 'production') {\n if (!invertedIndices) {\n throw new Error('Do not supported yet');\n }\n }\n var rawIndex = invertedIndices && invertedIndices[value];\n if (rawIndex == null || isNaN(rawIndex)) {\n return INDEX_NOT_FOUND;\n }\n return rawIndex;\n };\n /**\r\n * Retrieve the index of nearest value\r\n * @param dim\r\n * @param value\r\n * @param [maxDistance=Infinity]\r\n * @return If and only if multiple indices has\r\n * the same value, they are put to the result.\r\n */\n SeriesData.prototype.indicesOfNearest = function (dim, value, maxDistance) {\n return this._store.indicesOfNearest(this._getStoreDimIndex(dim), value, maxDistance);\n };\n SeriesData.prototype.each = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n var fCtx = ctx || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n this._store.each(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n };\n SeriesData.prototype.filterSelf = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n var fCtx = ctx || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n this._store = this._store.filter(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n return this;\n };\n /**\r\n * Select data in range. (For optimization of filter)\r\n * (Manually inline code, support 5 million data filtering in data zoom.)\r\n */\n SeriesData.prototype.selectRange = function (range) {\n 'use strict';\n\n var _this = this;\n var innerRange = {};\n var dims = zrUtil.keys(range);\n var dimIndices = [];\n zrUtil.each(dims, function (dim) {\n var dimIdx = _this._getStoreDimIndex(dim);\n innerRange[dimIdx] = range[dim];\n dimIndices.push(dimIdx);\n });\n this._store = this._store.selectRange(innerRange);\n return this;\n };\n /* eslint-enable max-len */\n SeriesData.prototype.mapArray = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n ctx = ctx || this;\n var result = [];\n this.each(dims, function () {\n result.push(cb && cb.apply(this, arguments));\n }, ctx);\n return result;\n };\n SeriesData.prototype.map = function (dims, cb, ctx, ctxCompat) {\n 'use strict';\n\n // ctxCompat just for compat echarts3\n var fCtx = ctx || ctxCompat || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n var list = cloneListForMapAndSample(this);\n list._store = this._store.map(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n return list;\n };\n SeriesData.prototype.modify = function (dims, cb, ctx, ctxCompat) {\n var _this = this;\n // ctxCompat just for compat echarts3\n var fCtx = ctx || ctxCompat || this;\n if (process.env.NODE_ENV !== 'production') {\n zrUtil.each(normalizeDimensions(dims), function (dim) {\n var dimInfo = _this.getDimensionInfo(dim);\n if (!dimInfo.isCalculationCoord) {\n console.error('Danger: only stack dimension can be modified');\n }\n });\n }\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n // If do shallow clone here, if there are too many stacked series,\n // it still cost lots of memory, because `_store.dimensions` are not shared.\n // We should consider there probably be shallow clone happen in each series\n // in consequent filter/map.\n this._store.modify(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n };\n /**\r\n * Large data down sampling on given dimension\r\n * @param sampleIndex Sample index for name and id\r\n */\n SeriesData.prototype.downSample = function (dimension, rate, sampleValue, sampleIndex) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.downSample(this._getStoreDimIndex(dimension), rate, sampleValue, sampleIndex);\n return list;\n };\n /**\r\n * Large data down sampling using min-max\r\n * @param {string} valueDimension\r\n * @param {number} rate\r\n */\n SeriesData.prototype.minmaxDownSample = function (valueDimension, rate) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.minmaxDownSample(this._getStoreDimIndex(valueDimension), rate);\n return list;\n };\n /**\r\n * Large data down sampling using largest-triangle-three-buckets\r\n * @param {string} valueDimension\r\n * @param {number} targetCount\r\n */\n SeriesData.prototype.lttbDownSample = function (valueDimension, rate) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.lttbDownSample(this._getStoreDimIndex(valueDimension), rate);\n return list;\n };\n SeriesData.prototype.getRawDataItem = function (idx) {\n return this._store.getRawDataItem(idx);\n };\n /**\r\n * Get model of one data item.\r\n */\n // TODO: Type of data item\n SeriesData.prototype.getItemModel = function (idx) {\n var hostModel = this.hostModel;\n var dataItem = this.getRawDataItem(idx);\n return new Model(dataItem, hostModel, hostModel && hostModel.ecModel);\n };\n /**\r\n * Create a data differ\r\n */\n SeriesData.prototype.diff = function (otherList) {\n var thisList = this;\n return new DataDiffer(otherList ? otherList.getStore().getIndices() : [], this.getStore().getIndices(), function (idx) {\n return getId(otherList, idx);\n }, function (idx) {\n return getId(thisList, idx);\n });\n };\n /**\r\n * Get visual property.\r\n */\n SeriesData.prototype.getVisual = function (key) {\n var visual = this._visual;\n return visual && visual[key];\n };\n SeriesData.prototype.setVisual = function (kvObj, val) {\n this._visual = this._visual || {};\n if (isObject(kvObj)) {\n zrUtil.extend(this._visual, kvObj);\n } else {\n this._visual[kvObj] = val;\n }\n };\n /**\r\n * Get visual property of single data item\r\n */\n // eslint-disable-next-line\n SeriesData.prototype.getItemVisual = function (idx, key) {\n var itemVisual = this._itemVisuals[idx];\n var val = itemVisual && itemVisual[key];\n if (val == null) {\n // Use global visual property\n return this.getVisual(key);\n }\n return val;\n };\n /**\r\n * If exists visual property of single data item\r\n */\n SeriesData.prototype.hasItemVisual = function () {\n return this._itemVisuals.length > 0;\n };\n /**\r\n * Make sure itemVisual property is unique\r\n */\n // TODO: use key to save visual to reduce memory.\n SeriesData.prototype.ensureUniqueItemVisual = function (idx, key) {\n var itemVisuals = this._itemVisuals;\n var itemVisual = itemVisuals[idx];\n if (!itemVisual) {\n itemVisual = itemVisuals[idx] = {};\n }\n var val = itemVisual[key];\n if (val == null) {\n val = this.getVisual(key);\n // TODO Performance?\n if (zrUtil.isArray(val)) {\n val = val.slice();\n } else if (isObject(val)) {\n val = zrUtil.extend({}, val);\n }\n itemVisual[key] = val;\n }\n return val;\n };\n // eslint-disable-next-line\n SeriesData.prototype.setItemVisual = function (idx, key, value) {\n var itemVisual = this._itemVisuals[idx] || {};\n this._itemVisuals[idx] = itemVisual;\n if (isObject(key)) {\n zrUtil.extend(itemVisual, key);\n } else {\n itemVisual[key] = value;\n }\n };\n /**\r\n * Clear itemVisuals and list visual.\r\n */\n SeriesData.prototype.clearAllVisual = function () {\n this._visual = {};\n this._itemVisuals = [];\n };\n SeriesData.prototype.setLayout = function (key, val) {\n isObject(key) ? zrUtil.extend(this._layout, key) : this._layout[key] = val;\n };\n /**\r\n * Get layout property.\r\n */\n SeriesData.prototype.getLayout = function (key) {\n return this._layout[key];\n };\n /**\r\n * Get layout of single data item\r\n */\n SeriesData.prototype.getItemLayout = function (idx) {\n return this._itemLayouts[idx];\n };\n /**\r\n * Set layout of single data item\r\n */\n SeriesData.prototype.setItemLayout = function (idx, layout, merge) {\n this._itemLayouts[idx] = merge ? zrUtil.extend(this._itemLayouts[idx] || {}, layout) : layout;\n };\n /**\r\n * Clear all layout of single data item\r\n */\n SeriesData.prototype.clearItemLayouts = function () {\n this._itemLayouts.length = 0;\n };\n /**\r\n * Set graphic element relative to data. It can be set as null\r\n */\n SeriesData.prototype.setItemGraphicEl = function (idx, el) {\n var seriesIndex = this.hostModel && this.hostModel.seriesIndex;\n setCommonECData(seriesIndex, this.dataType, idx, el);\n this._graphicEls[idx] = el;\n };\n SeriesData.prototype.getItemGraphicEl = function (idx) {\n return this._graphicEls[idx];\n };\n SeriesData.prototype.eachItemGraphicEl = function (cb, context) {\n zrUtil.each(this._graphicEls, function (el, idx) {\n if (el) {\n cb && cb.call(context, el, idx);\n }\n });\n };\n /**\r\n * Shallow clone a new list except visual and layout properties, and graph elements.\r\n * New list only change the indices.\r\n */\n SeriesData.prototype.cloneShallow = function (list) {\n if (!list) {\n list = new SeriesData(this._schema ? this._schema : map(this.dimensions, this._getDimInfo, this), this.hostModel);\n }\n transferProperties(list, this);\n list._store = this._store;\n return list;\n };\n /**\r\n * Wrap some method to add more feature\r\n */\n SeriesData.prototype.wrapMethod = function (methodName, injectFunction) {\n var originalMethod = this[methodName];\n if (!zrUtil.isFunction(originalMethod)) {\n return;\n }\n this.__wrappedMethods = this.__wrappedMethods || [];\n this.__wrappedMethods.push(methodName);\n this[methodName] = function () {\n var res = originalMethod.apply(this, arguments);\n return injectFunction.apply(this, [res].concat(zrUtil.slice(arguments)));\n };\n };\n // ----------------------------------------------------------\n // A work around for internal method visiting private member.\n // ----------------------------------------------------------\n SeriesData.internalField = function () {\n prepareInvertedIndex = function (data) {\n var invertedIndicesMap = data._invertedIndicesMap;\n zrUtil.each(invertedIndicesMap, function (invertedIndices, dim) {\n var dimInfo = data._dimInfos[dim];\n // Currently, only dimensions that has ordinalMeta can create inverted indices.\n var ordinalMeta = dimInfo.ordinalMeta;\n var store = data._store;\n if (ordinalMeta) {\n invertedIndices = invertedIndicesMap[dim] = new CtorInt32Array(ordinalMeta.categories.length);\n // The default value of TypedArray is 0. To avoid miss\n // mapping to 0, we should set it as INDEX_NOT_FOUND.\n for (var i = 0; i < invertedIndices.length; i++) {\n invertedIndices[i] = INDEX_NOT_FOUND;\n }\n for (var i = 0; i < store.count(); i++) {\n // Only support the case that all values are distinct.\n invertedIndices[store.get(dimInfo.storeDimIndex, i)] = i;\n }\n }\n });\n };\n getIdNameFromStore = function (data, dimIdx, idx) {\n return convertOptionIdName(data._getCategory(dimIdx, idx), null);\n };\n /**\r\n * @see the comment of `List['getId']`.\r\n */\n getId = function (data, rawIndex) {\n var id = data._idList[rawIndex];\n if (id == null && data._idDimIdx != null) {\n id = getIdNameFromStore(data, data._idDimIdx, rawIndex);\n }\n if (id == null) {\n id = ID_PREFIX + rawIndex;\n }\n return id;\n };\n normalizeDimensions = function (dimensions) {\n if (!zrUtil.isArray(dimensions)) {\n dimensions = dimensions != null ? [dimensions] : [];\n }\n return dimensions;\n };\n /**\r\n * Data in excludeDimensions is copied, otherwise transferred.\r\n */\n cloneListForMapAndSample = function (original) {\n var list = new SeriesData(original._schema ? original._schema : map(original.dimensions, original._getDimInfo, original), original.hostModel);\n // FIXME If needs stackedOn, value may already been stacked\n transferProperties(list, original);\n return list;\n };\n transferProperties = function (target, source) {\n zrUtil.each(TRANSFERABLE_PROPERTIES.concat(source.__wrappedMethods || []), function (propName) {\n if (source.hasOwnProperty(propName)) {\n target[propName] = source[propName];\n }\n });\n target.__wrappedMethods = source.__wrappedMethods;\n zrUtil.each(CLONE_PROPERTIES, function (propName) {\n target[propName] = zrUtil.clone(source[propName]);\n });\n target._calculationInfo = zrUtil.extend({}, source._calculationInfo);\n };\n makeIdFromName = function (data, idx) {\n var nameList = data._nameList;\n var idList = data._idList;\n var nameDimIdx = data._nameDimIdx;\n var idDimIdx = data._idDimIdx;\n var name = nameList[idx];\n var id = idList[idx];\n if (name == null && nameDimIdx != null) {\n nameList[idx] = name = getIdNameFromStore(data, nameDimIdx, idx);\n }\n if (id == null && idDimIdx != null) {\n idList[idx] = id = getIdNameFromStore(data, idDimIdx, idx);\n }\n if (id == null && name != null) {\n var nameRepeatCount = data._nameRepeatCount;\n var nmCnt = nameRepeatCount[name] = (nameRepeatCount[name] || 0) + 1;\n id = name;\n if (nmCnt > 1) {\n id += '__ec__' + nmCnt;\n }\n idList[idx] = id;\n }\n };\n }();\n return SeriesData;\n}();\nexport default 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Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\n/* global Int32Array */\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport Model from '../model/Model.js';\nimport DataDiffer from './DataDiffer.js';\nimport { DefaultDataProvider } from './helper/dataProvider.js';\nimport { summarizeDimensions } from './helper/dimensionHelper.js';\nimport SeriesDimensionDefine from './SeriesDimensionDefine.js';\nimport { SOURCE_FORMAT_TYPED_ARRAY, SOURCE_FORMAT_ORIGINAL } from '../util/types.js';\nimport { convertOptionIdName, isDataItemOption } from '../util/model.js';\nimport { setCommonECData } from '../util/innerStore.js';\nimport { isSourceInstance } from './Source.js';\nimport DataStore from './DataStore.js';\nimport { isSeriesDataSchema } from './helper/SeriesDataSchema.js';\nvar isObject = zrUtil.isObject;\nvar map = zrUtil.map;\nvar CtorInt32Array = typeof Int32Array === 'undefined' ? Array : Int32Array;\n// Use prefix to avoid index to be the same as otherIdList[idx],\n// which will cause weird update animation.\nvar ID_PREFIX = 'e\\0\\0';\nvar INDEX_NOT_FOUND = -1;\n// type SeriesDimensionIndex = DimensionIndex;\nvar TRANSFERABLE_PROPERTIES = ['hasItemOption', '_nameList', '_idList', '_invertedIndicesMap', '_dimSummary', 'userOutput', '_rawData', '_dimValueGetter', '_nameDimIdx', '_idDimIdx', '_nameRepeatCount'];\nvar CLONE_PROPERTIES = ['_approximateExtent'];\n// -----------------------------\n// Internal method declarations:\n// -----------------------------\nvar prepareInvertedIndex;\nvar getId;\nvar getIdNameFromStore;\nvar normalizeDimensions;\nvar transferProperties;\nvar cloneListForMapAndSample;\nvar makeIdFromName;\nvar SeriesData = /** @class */function () {\n /**\r\n * @param dimensionsInput.dimensions\r\n * For example, ['someDimName', {name: 'someDimName', type: 'someDimType'}, ...].\r\n * Dimensions should be concrete names like x, y, z, lng, lat, angle, radius\r\n */\n function SeriesData(dimensionsInput, hostModel) {\n this.type = 'list';\n this._dimOmitted = false;\n this._nameList = [];\n this._idList = [];\n // Models of data option is stored sparse for optimizing memory cost\n // Never used yet (not used yet).\n // private _optionModels: Model[] = [];\n // Global visual properties after visual coding\n this._visual = {};\n // Global layout properties.\n this._layout = {};\n // Item visual properties after visual coding\n this._itemVisuals = [];\n // Item layout properties after layout\n this._itemLayouts = [];\n // Graphic elements\n this._graphicEls = [];\n // key: dim, value: extent\n this._approximateExtent = {};\n this._calculationInfo = {};\n // Having detected that there is data item is non primitive type\n // (in type `OptionDataItemObject`).\n // Like `data: [ { value: xx, itemStyle: {...} }, ...]`\n // At present it only happen in `SOURCE_FORMAT_ORIGINAL`.\n this.hasItemOption = false;\n // Methods that create a new list based on this list should be listed here.\n // Notice that those method should `RETURN` the new list.\n this.TRANSFERABLE_METHODS = ['cloneShallow', 'downSample', 'minmaxDownSample', 'lttbDownSample', 'map'];\n // Methods that change indices of this list should be listed here.\n this.CHANGABLE_METHODS = ['filterSelf', 'selectRange'];\n this.DOWNSAMPLE_METHODS = ['downSample', 'minmaxDownSample', 'lttbDownSample'];\n var dimensions;\n var assignStoreDimIdx = false;\n if (isSeriesDataSchema(dimensionsInput)) {\n dimensions = dimensionsInput.dimensions;\n this._dimOmitted = dimensionsInput.isDimensionOmitted();\n this._schema = dimensionsInput;\n } else {\n assignStoreDimIdx = true;\n dimensions = dimensionsInput;\n }\n dimensions = dimensions || ['x', 'y'];\n var dimensionInfos = {};\n var dimensionNames = [];\n var invertedIndicesMap = {};\n var needsHasOwn = false;\n var emptyObj = {};\n for (var i = 0; i < dimensions.length; i++) {\n // Use the original dimensions[i], where other flag props may exists.\n var dimInfoInput = dimensions[i];\n var dimensionInfo = zrUtil.isString(dimInfoInput) ? new SeriesDimensionDefine({\n name: dimInfoInput\n }) : !(dimInfoInput instanceof SeriesDimensionDefine) ? new SeriesDimensionDefine(dimInfoInput) : dimInfoInput;\n var dimensionName = dimensionInfo.name;\n dimensionInfo.type = dimensionInfo.type || 'float';\n if (!dimensionInfo.coordDim) {\n dimensionInfo.coordDim = dimensionName;\n dimensionInfo.coordDimIndex = 0;\n }\n var otherDims = dimensionInfo.otherDims = dimensionInfo.otherDims || {};\n dimensionNames.push(dimensionName);\n dimensionInfos[dimensionName] = dimensionInfo;\n if (emptyObj[dimensionName] != null) {\n needsHasOwn = true;\n }\n if (dimensionInfo.createInvertedIndices) {\n invertedIndicesMap[dimensionName] = [];\n }\n if (otherDims.itemName === 0) {\n this._nameDimIdx = i;\n }\n if (otherDims.itemId === 0) {\n this._idDimIdx = i;\n }\n if (process.env.NODE_ENV !== 'production') {\n zrUtil.assert(assignStoreDimIdx || dimensionInfo.storeDimIndex >= 0);\n }\n if (assignStoreDimIdx) {\n dimensionInfo.storeDimIndex = i;\n }\n }\n this.dimensions = dimensionNames;\n this._dimInfos = dimensionInfos;\n this._initGetDimensionInfo(needsHasOwn);\n this.hostModel = hostModel;\n this._invertedIndicesMap = invertedIndicesMap;\n if (this._dimOmitted) {\n var dimIdxToName_1 = this._dimIdxToName = zrUtil.createHashMap();\n zrUtil.each(dimensionNames, function (dimName) {\n dimIdxToName_1.set(dimensionInfos[dimName].storeDimIndex, dimName);\n });\n }\n }\n /**\r\n *\r\n * Get concrete dimension name by dimension name or dimension index.\r\n * If input a dimension name, do not validate whether the dimension name exits.\r\n *\r\n * @caution\r\n * @param dim Must make sure the dimension is `SeriesDimensionLoose`.\r\n * Because only those dimensions will have auto-generated dimension names if not\r\n * have a user-specified name, and other dimensions will get a return of null/undefined.\r\n *\r\n * @notice Because of this reason, should better use `getDimensionIndex` instead, for examples:\r\n * ```js\r\n * const val = data.getStore().get(data.getDimensionIndex(dim), dataIdx);\r\n * ```\r\n *\r\n * @return Concrete dim name.\r\n */\n SeriesData.prototype.getDimension = function (dim) {\n var dimIdx = this._recognizeDimIndex(dim);\n if (dimIdx == null) {\n return dim;\n }\n dimIdx = dim;\n if (!this._dimOmitted) {\n return this.dimensions[dimIdx];\n }\n // Retrieve from series dimension definition because it probably contains\n // generated dimension name (like 'x', 'y').\n var dimName = this._dimIdxToName.get(dimIdx);\n if (dimName != null) {\n return dimName;\n }\n var sourceDimDef = this._schema.getSourceDimension(dimIdx);\n if (sourceDimDef) {\n return sourceDimDef.name;\n }\n };\n /**\r\n * Get dimension index in data store. Return -1 if not found.\r\n * Can be used to index value from getRawValue.\r\n */\n SeriesData.prototype.getDimensionIndex = function (dim) {\n var dimIdx = this._recognizeDimIndex(dim);\n if (dimIdx != null) {\n return dimIdx;\n }\n if (dim == null) {\n return -1;\n }\n var dimInfo = this._getDimInfo(dim);\n return dimInfo ? dimInfo.storeDimIndex : this._dimOmitted ? this._schema.getSourceDimensionIndex(dim) : -1;\n };\n /**\r\n * The meanings of the input parameter `dim`:\r\n *\r\n * + If dim is a number (e.g., `1`), it means the index of the dimension.\r\n * For example, `getDimension(0)` will return 'x' or 'lng' or 'radius'.\r\n * + If dim is a number-like string (e.g., `\"1\"`):\r\n * + If there is the same concrete dim name defined in `series.dimensions` or `dataset.dimensions`,\r\n * it means that concrete name.\r\n * + If not, it will be converted to a number, which means the index of the dimension.\r\n * (why? because of the backward compatibility. We have been tolerating number-like string in\r\n * dimension setting, although now it seems that it is not a good idea.)\r\n * For example, `visualMap[i].dimension: \"1\"` is the same meaning as `visualMap[i].dimension: 1`,\r\n * if no dimension name is defined as `\"1\"`.\r\n * + If dim is a not-number-like string, it means the concrete dim name.\r\n * For example, it can be be default name `\"x\"`, `\"y\"`, `\"z\"`, `\"lng\"`, `\"lat\"`, `\"angle\"`, `\"radius\"`,\r\n * or customized in `dimensions` property of option like `\"age\"`.\r\n *\r\n * @return recognized `DimensionIndex`. Otherwise return null/undefined (means that dim is `DimensionName`).\r\n */\n SeriesData.prototype._recognizeDimIndex = function (dim) {\n if (zrUtil.isNumber(dim)\n // If being a number-like string but not being defined as a dimension name.\n || dim != null && !isNaN(dim) && !this._getDimInfo(dim) && (!this._dimOmitted || this._schema.getSourceDimensionIndex(dim) < 0)) {\n return +dim;\n }\n };\n SeriesData.prototype._getStoreDimIndex = function (dim) {\n var dimIdx = this.getDimensionIndex(dim);\n if (process.env.NODE_ENV !== 'production') {\n if (dimIdx == null) {\n throw new Error('Unknown dimension ' + dim);\n }\n }\n return dimIdx;\n };\n /**\r\n * Get type and calculation info of particular dimension\r\n * @param dim\r\n * Dimension can be concrete names like x, y, z, lng, lat, angle, radius\r\n * Or a ordinal number. For example getDimensionInfo(0) will return 'x' or 'lng' or 'radius'\r\n */\n SeriesData.prototype.getDimensionInfo = function (dim) {\n // Do not clone, because there may be categories in dimInfo.\n return this._getDimInfo(this.getDimension(dim));\n };\n SeriesData.prototype._initGetDimensionInfo = function (needsHasOwn) {\n var dimensionInfos = this._dimInfos;\n this._getDimInfo = needsHasOwn ? function (dimName) {\n return dimensionInfos.hasOwnProperty(dimName) ? dimensionInfos[dimName] : undefined;\n } : function (dimName) {\n return dimensionInfos[dimName];\n };\n };\n /**\r\n * concrete dimension name list on coord.\r\n */\n SeriesData.prototype.getDimensionsOnCoord = function () {\n return this._dimSummary.dataDimsOnCoord.slice();\n };\n SeriesData.prototype.mapDimension = function (coordDim, idx) {\n var dimensionsSummary = this._dimSummary;\n if (idx == null) {\n return dimensionsSummary.encodeFirstDimNotExtra[coordDim];\n }\n var dims = dimensionsSummary.encode[coordDim];\n return dims ? dims[idx] : null;\n };\n SeriesData.prototype.mapDimensionsAll = function (coordDim) {\n var dimensionsSummary = this._dimSummary;\n var dims = dimensionsSummary.encode[coordDim];\n return (dims || []).slice();\n };\n SeriesData.prototype.getStore = function () {\n return this._store;\n };\n /**\r\n * Initialize from data\r\n * @param data source or data or data store.\r\n * @param nameList The name of a datum is used on data diff and\r\n * default label/tooltip.\r\n * A name can be specified in encode.itemName,\r\n * or dataItem.name (only for series option data),\r\n * or provided in nameList from outside.\r\n */\n SeriesData.prototype.initData = function (data, nameList, dimValueGetter) {\n var _this = this;\n var store;\n if (data instanceof DataStore) {\n store = data;\n }\n if (!store) {\n var dimensions = this.dimensions;\n var provider = isSourceInstance(data) || zrUtil.isArrayLike(data) ? new DefaultDataProvider(data, dimensions.length) : data;\n store = new DataStore();\n var dimensionInfos = map(dimensions, function (dimName) {\n return {\n type: _this._dimInfos[dimName].type,\n property: dimName\n };\n });\n store.initData(provider, dimensionInfos, dimValueGetter);\n }\n this._store = store;\n // Reset\n this._nameList = (nameList || []).slice();\n this._idList = [];\n this._nameRepeatCount = {};\n this._doInit(0, store.count());\n // Cache summary info for fast visit. See \"dimensionHelper\".\n // Needs to be initialized after store is prepared.\n this._dimSummary = summarizeDimensions(this, this._schema);\n this.userOutput = this._dimSummary.userOutput;\n };\n /**\r\n * Caution: Can be only called on raw data (before `this._indices` created).\r\n */\n SeriesData.prototype.appendData = function (data) {\n var range = this._store.appendData(data);\n this._doInit(range[0], range[1]);\n };\n /**\r\n * Caution: Can be only called on raw data (before `this._indices` created).\r\n * This method does not modify `rawData` (`dataProvider`), but only\r\n * add values to store.\r\n *\r\n * The final count will be increased by `Math.max(values.length, names.length)`.\r\n *\r\n * @param values That is the SourceType: 'arrayRows', like\r\n * [\r\n * [12, 33, 44],\r\n * [NaN, 43, 1],\r\n * ['-', 'asdf', 0]\r\n * ]\r\n * Each item is exactly corresponding to a dimension.\r\n */\n SeriesData.prototype.appendValues = function (values, names) {\n var _a = this._store.appendValues(values, names && names.length),\n start = _a.start,\n end = _a.end;\n var shouldMakeIdFromName = this._shouldMakeIdFromName();\n this._updateOrdinalMeta();\n if (names) {\n for (var idx = start; idx < end; idx++) {\n var sourceIdx = idx - start;\n this._nameList[idx] = names[sourceIdx];\n if (shouldMakeIdFromName) {\n makeIdFromName(this, idx);\n }\n }\n }\n };\n SeriesData.prototype._updateOrdinalMeta = function () {\n var store = this._store;\n var dimensions = this.dimensions;\n for (var i = 0; i < dimensions.length; i++) {\n var dimInfo = this._dimInfos[dimensions[i]];\n if (dimInfo.ordinalMeta) {\n store.collectOrdinalMeta(dimInfo.storeDimIndex, dimInfo.ordinalMeta);\n }\n }\n };\n SeriesData.prototype._shouldMakeIdFromName = function () {\n var provider = this._store.getProvider();\n return this._idDimIdx == null && provider.getSource().sourceFormat !== SOURCE_FORMAT_TYPED_ARRAY && !provider.fillStorage;\n };\n SeriesData.prototype._doInit = function (start, end) {\n if (start >= end) {\n return;\n }\n var store = this._store;\n var provider = store.getProvider();\n this._updateOrdinalMeta();\n var nameList = this._nameList;\n var idList = this._idList;\n var sourceFormat = provider.getSource().sourceFormat;\n var isFormatOriginal = sourceFormat === SOURCE_FORMAT_ORIGINAL;\n // Each data item is value\n // [1, 2]\n // 2\n // Bar chart, line chart which uses category axis\n // only gives the 'y' value. 'x' value is the indices of category\n // Use a tempValue to normalize the value to be a (x, y) value\n // If dataItem is {name: ...} or {id: ...}, it has highest priority.\n // This kind of ids and names are always stored `_nameList` and `_idList`.\n if (isFormatOriginal && !provider.pure) {\n var sharedDataItem = [];\n for (var idx = start; idx < end; idx++) {\n // NOTICE: Try not to write things into dataItem\n var dataItem = provider.getItem(idx, sharedDataItem);\n if (!this.hasItemOption && isDataItemOption(dataItem)) {\n this.hasItemOption = true;\n }\n if (dataItem) {\n var itemName = dataItem.name;\n if (nameList[idx] == null && itemName != null) {\n nameList[idx] = convertOptionIdName(itemName, null);\n }\n var itemId = dataItem.id;\n if (idList[idx] == null && itemId != null) {\n idList[idx] = convertOptionIdName(itemId, null);\n }\n }\n }\n }\n if (this._shouldMakeIdFromName()) {\n for (var idx = start; idx < end; idx++) {\n makeIdFromName(this, idx);\n }\n }\n prepareInvertedIndex(this);\n };\n /**\r\n * PENDING: In fact currently this function is only used to short-circuit\r\n * the calling of `scale.unionExtentFromData` when data have been filtered by modules\r\n * like \"dataZoom\". `scale.unionExtentFromData` is used to calculate data extent for series on\r\n * an axis, but if a \"axis related data filter module\" is used, the extent of the axis have\r\n * been fixed and no need to calling `scale.unionExtentFromData` actually.\r\n * But if we add \"custom data filter\" in future, which is not \"axis related\", this method may\r\n * be still needed.\r\n *\r\n * Optimize for the scenario that data is filtered by a given extent.\r\n * Consider that if data amount is more than hundreds of thousand,\r\n * extent calculation will cost more than 10ms and the cache will\r\n * be erased because of the filtering.\r\n */\n SeriesData.prototype.getApproximateExtent = function (dim) {\n return this._approximateExtent[dim] || this._store.getDataExtent(this._getStoreDimIndex(dim));\n };\n /**\r\n * Calculate extent on a filtered data might be time consuming.\r\n * Approximate extent is only used for: calculate extent of filtered data outside.\r\n */\n SeriesData.prototype.setApproximateExtent = function (extent, dim) {\n dim = this.getDimension(dim);\n this._approximateExtent[dim] = extent.slice();\n };\n SeriesData.prototype.getCalculationInfo = function (key) {\n return this._calculationInfo[key];\n };\n SeriesData.prototype.setCalculationInfo = function (key, value) {\n isObject(key) ? zrUtil.extend(this._calculationInfo, key) : this._calculationInfo[key] = value;\n };\n /**\r\n * @return Never be null/undefined. `number` will be converted to string. Because:\r\n * In most cases, name is used in display, where returning a string is more convenient.\r\n * In other cases, name is used in query (see `indexOfName`), where we can keep the\r\n * rule that name `2` equals to name `'2'`.\r\n */\n SeriesData.prototype.getName = function (idx) {\n var rawIndex = this.getRawIndex(idx);\n var name = this._nameList[rawIndex];\n if (name == null && this._nameDimIdx != null) {\n name = getIdNameFromStore(this, this._nameDimIdx, rawIndex);\n }\n if (name == null) {\n name = '';\n }\n return name;\n };\n SeriesData.prototype._getCategory = function (dimIdx, idx) {\n var ordinal = this._store.get(dimIdx, idx);\n var ordinalMeta = this._store.getOrdinalMeta(dimIdx);\n if (ordinalMeta) {\n return ordinalMeta.categories[ordinal];\n }\n return ordinal;\n };\n /**\r\n * @return Never null/undefined. `number` will be converted to string. Because:\r\n * In all cases having encountered at present, id is used in making diff comparison, which\r\n * are usually based on hash map. We can keep the rule that the internal id are always string\r\n * (treat `2` is the same as `'2'`) to make the related logic simple.\r\n */\n SeriesData.prototype.getId = function (idx) {\n return getId(this, this.getRawIndex(idx));\n };\n SeriesData.prototype.count = function () {\n return this._store.count();\n };\n /**\r\n * Get value. Return NaN if idx is out of range.\r\n *\r\n * @notice Should better to use `data.getStore().get(dimIndex, dataIdx)` instead.\r\n */\n SeriesData.prototype.get = function (dim, idx) {\n var store = this._store;\n var dimInfo = this._dimInfos[dim];\n if (dimInfo) {\n return store.get(dimInfo.storeDimIndex, idx);\n }\n };\n /**\r\n * @notice Should better to use `data.getStore().getByRawIndex(dimIndex, dataIdx)` instead.\r\n */\n SeriesData.prototype.getByRawIndex = function (dim, rawIdx) {\n var store = this._store;\n var dimInfo = this._dimInfos[dim];\n if (dimInfo) {\n return store.getByRawIndex(dimInfo.storeDimIndex, rawIdx);\n }\n };\n SeriesData.prototype.getIndices = function () {\n return this._store.getIndices();\n };\n SeriesData.prototype.getDataExtent = function (dim) {\n return this._store.getDataExtent(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getSum = function (dim) {\n return this._store.getSum(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getMedian = function (dim) {\n return this._store.getMedian(this._getStoreDimIndex(dim));\n };\n SeriesData.prototype.getValues = function (dimensions, idx) {\n var _this = this;\n var store = this._store;\n return zrUtil.isArray(dimensions) ? store.getValues(map(dimensions, function (dim) {\n return _this._getStoreDimIndex(dim);\n }), idx) : store.getValues(dimensions);\n };\n /**\r\n * If value is NaN. Including '-'\r\n * Only check the coord dimensions.\r\n */\n SeriesData.prototype.hasValue = function (idx) {\n var dataDimIndicesOnCoord = this._dimSummary.dataDimIndicesOnCoord;\n for (var i = 0, len = dataDimIndicesOnCoord.length; i < len; i++) {\n // Ordinal type originally can be string or number.\n // But when an ordinal type is used on coord, it can\n // not be string but only number. So we can also use isNaN.\n if (isNaN(this._store.get(dataDimIndicesOnCoord[i], idx))) {\n return false;\n }\n }\n return true;\n };\n /**\r\n * Retrieve the index with given name\r\n */\n SeriesData.prototype.indexOfName = function (name) {\n for (var i = 0, len = this._store.count(); i < len; i++) {\n if (this.getName(i) === name) {\n return i;\n }\n }\n return -1;\n };\n SeriesData.prototype.getRawIndex = function (idx) {\n return this._store.getRawIndex(idx);\n };\n SeriesData.prototype.indexOfRawIndex = function (rawIndex) {\n return this._store.indexOfRawIndex(rawIndex);\n };\n /**\r\n * Only support the dimension which inverted index created.\r\n * Do not support other cases until required.\r\n * @param dim concrete dim\r\n * @param value ordinal index\r\n * @return rawIndex\r\n */\n SeriesData.prototype.rawIndexOf = function (dim, value) {\n var invertedIndices = dim && this._invertedIndicesMap[dim];\n if (process.env.NODE_ENV !== 'production') {\n if (!invertedIndices) {\n throw new Error('Do not supported yet');\n }\n }\n var rawIndex = invertedIndices && invertedIndices[value];\n if (rawIndex == null || isNaN(rawIndex)) {\n return INDEX_NOT_FOUND;\n }\n return rawIndex;\n };\n /**\r\n * Retrieve the index of nearest value\r\n * @param dim\r\n * @param value\r\n * @param [maxDistance=Infinity]\r\n * @return If and only if multiple indices has\r\n * the same value, they are put to the result.\r\n */\n SeriesData.prototype.indicesOfNearest = function (dim, value, maxDistance) {\n return this._store.indicesOfNearest(this._getStoreDimIndex(dim), value, maxDistance);\n };\n SeriesData.prototype.each = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n var fCtx = ctx || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n this._store.each(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n };\n SeriesData.prototype.filterSelf = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n var fCtx = ctx || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n this._store = this._store.filter(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n return this;\n };\n /**\r\n * Select data in range. (For optimization of filter)\r\n * (Manually inline code, support 5 million data filtering in data zoom.)\r\n */\n SeriesData.prototype.selectRange = function (range) {\n 'use strict';\n\n var _this = this;\n var innerRange = {};\n var dims = zrUtil.keys(range);\n var dimIndices = [];\n zrUtil.each(dims, function (dim) {\n var dimIdx = _this._getStoreDimIndex(dim);\n innerRange[dimIdx] = range[dim];\n dimIndices.push(dimIdx);\n });\n this._store = this._store.selectRange(innerRange);\n return this;\n };\n /* eslint-enable max-len */\n SeriesData.prototype.mapArray = function (dims, cb, ctx) {\n 'use strict';\n\n if (zrUtil.isFunction(dims)) {\n ctx = cb;\n cb = dims;\n dims = [];\n }\n // ctxCompat just for compat echarts3\n ctx = ctx || this;\n var result = [];\n this.each(dims, function () {\n result.push(cb && cb.apply(this, arguments));\n }, ctx);\n return result;\n };\n SeriesData.prototype.map = function (dims, cb, ctx, ctxCompat) {\n 'use strict';\n\n // ctxCompat just for compat echarts3\n var fCtx = ctx || ctxCompat || this;\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n var list = cloneListForMapAndSample(this);\n list._store = this._store.map(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n return list;\n };\n SeriesData.prototype.modify = function (dims, cb, ctx, ctxCompat) {\n var _this = this;\n // ctxCompat just for compat echarts3\n var fCtx = ctx || ctxCompat || this;\n if (process.env.NODE_ENV !== 'production') {\n zrUtil.each(normalizeDimensions(dims), function (dim) {\n var dimInfo = _this.getDimensionInfo(dim);\n if (!dimInfo.isCalculationCoord) {\n console.error('Danger: only stack dimension can be modified');\n }\n });\n }\n var dimIndices = map(normalizeDimensions(dims), this._getStoreDimIndex, this);\n // If do shallow clone here, if there are too many stacked series,\n // it still cost lots of memory, because `_store.dimensions` are not shared.\n // We should consider there probably be shallow clone happen in each series\n // in consequent filter/map.\n this._store.modify(dimIndices, fCtx ? zrUtil.bind(cb, fCtx) : cb);\n };\n /**\r\n * Large data down sampling on given dimension\r\n * @param sampleIndex Sample index for name and id\r\n */\n SeriesData.prototype.downSample = function (dimension, rate, sampleValue, sampleIndex) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.downSample(this._getStoreDimIndex(dimension), rate, sampleValue, sampleIndex);\n return list;\n };\n /**\r\n * Large data down sampling using min-max\r\n * @param {string} valueDimension\r\n * @param {number} rate\r\n */\n SeriesData.prototype.minmaxDownSample = function (valueDimension, rate) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.minmaxDownSample(this._getStoreDimIndex(valueDimension), rate);\n return list;\n };\n /**\r\n * Large data down sampling using largest-triangle-three-buckets\r\n * @param {string} valueDimension\r\n * @param {number} targetCount\r\n */\n SeriesData.prototype.lttbDownSample = function (valueDimension, rate) {\n var list = cloneListForMapAndSample(this);\n list._store = this._store.lttbDownSample(this._getStoreDimIndex(valueDimension), rate);\n return list;\n };\n SeriesData.prototype.getRawDataItem = function (idx) {\n return this._store.getRawDataItem(idx);\n };\n /**\r\n * Get model of one data item.\r\n */\n // TODO: Type of data item\n SeriesData.prototype.getItemModel = function (idx) {\n var hostModel = this.hostModel;\n var dataItem = this.getRawDataItem(idx);\n return new Model(dataItem, hostModel, hostModel && hostModel.ecModel);\n };\n /**\r\n * Create a data differ\r\n */\n SeriesData.prototype.diff = function (otherList) {\n var thisList = this;\n return new DataDiffer(otherList ? otherList.getStore().getIndices() : [], this.getStore().getIndices(), function (idx) {\n return getId(otherList, idx);\n }, function (idx) {\n return getId(thisList, idx);\n });\n };\n /**\r\n * Get visual property.\r\n */\n SeriesData.prototype.getVisual = function (key) {\n var visual = this._visual;\n return visual && visual[key];\n };\n SeriesData.prototype.setVisual = function (kvObj, val) {\n this._visual = this._visual || {};\n if (isObject(kvObj)) {\n zrUtil.extend(this._visual, kvObj);\n } else {\n this._visual[kvObj] = val;\n }\n };\n /**\r\n * Get visual property of single data item\r\n */\n // eslint-disable-next-line\n SeriesData.prototype.getItemVisual = function (idx, key) {\n var itemVisual = this._itemVisuals[idx];\n var val = itemVisual && itemVisual[key];\n if (val == null) {\n // Use global visual property\n return this.getVisual(key);\n }\n return val;\n };\n /**\r\n * If exists visual property of single data item\r\n */\n SeriesData.prototype.hasItemVisual = function () {\n return this._itemVisuals.length > 0;\n };\n /**\r\n * Make sure itemVisual property is unique\r\n */\n // TODO: use key to save visual to reduce memory.\n SeriesData.prototype.ensureUniqueItemVisual = function (idx, key) {\n var itemVisuals = this._itemVisuals;\n var itemVisual = itemVisuals[idx];\n if (!itemVisual) {\n itemVisual = itemVisuals[idx] = {};\n }\n var val = itemVisual[key];\n if (val == null) {\n val = this.getVisual(key);\n // TODO Performance?\n if (zrUtil.isArray(val)) {\n val = val.slice();\n } else if (isObject(val)) {\n val = zrUtil.extend({}, val);\n }\n itemVisual[key] = val;\n }\n return val;\n };\n // eslint-disable-next-line\n SeriesData.prototype.setItemVisual = function (idx, key, value) {\n var itemVisual = this._itemVisuals[idx] || {};\n this._itemVisuals[idx] = itemVisual;\n if (isObject(key)) {\n zrUtil.extend(itemVisual, key);\n } else {\n itemVisual[key] = value;\n }\n };\n /**\r\n * Clear itemVisuals and list visual.\r\n */\n SeriesData.prototype.clearAllVisual = function () {\n this._visual = {};\n this._itemVisuals = [];\n };\n SeriesData.prototype.setLayout = function (key, val) {\n isObject(key) ? zrUtil.extend(this._layout, key) : this._layout[key] = val;\n };\n /**\r\n * Get layout property.\r\n */\n SeriesData.prototype.getLayout = function (key) {\n return this._layout[key];\n };\n /**\r\n * Get layout of single data item\r\n */\n SeriesData.prototype.getItemLayout = function (idx) {\n return this._itemLayouts[idx];\n };\n /**\r\n * Set layout of single data item\r\n */\n SeriesData.prototype.setItemLayout = function (idx, layout, merge) {\n this._itemLayouts[idx] = merge ? zrUtil.extend(this._itemLayouts[idx] || {}, layout) : layout;\n };\n /**\r\n * Clear all layout of single data item\r\n */\n SeriesData.prototype.clearItemLayouts = function () {\n this._itemLayouts.length = 0;\n };\n /**\r\n * Set graphic element relative to data. It can be set as null\r\n */\n SeriesData.prototype.setItemGraphicEl = function (idx, el) {\n var seriesIndex = this.hostModel && this.hostModel.seriesIndex;\n setCommonECData(seriesIndex, this.dataType, idx, el);\n this._graphicEls[idx] = el;\n };\n SeriesData.prototype.getItemGraphicEl = function (idx) {\n return this._graphicEls[idx];\n };\n SeriesData.prototype.eachItemGraphicEl = function (cb, context) {\n zrUtil.each(this._graphicEls, function (el, idx) {\n if (el) {\n cb && cb.call(context, el, idx);\n }\n });\n };\n /**\r\n * Shallow clone a new list except visual and layout properties, and graph elements.\r\n * New list only change the indices.\r\n */\n SeriesData.prototype.cloneShallow = function (list) {\n if (!list) {\n list = new SeriesData(this._schema ? this._schema : map(this.dimensions, this._getDimInfo, this), this.hostModel);\n }\n transferProperties(list, this);\n list._store = this._store;\n return list;\n };\n /**\r\n * Wrap some method to add more feature\r\n */\n SeriesData.prototype.wrapMethod = function (methodName, injectFunction) {\n var originalMethod = this[methodName];\n if (!zrUtil.isFunction(originalMethod)) {\n return;\n }\n this.__wrappedMethods = this.__wrappedMethods || [];\n this.__wrappedMethods.push(methodName);\n this[methodName] = function () {\n var res = originalMethod.apply(this, arguments);\n return injectFunction.apply(this, [res].concat(zrUtil.slice(arguments)));\n };\n };\n // ----------------------------------------------------------\n // A work around for internal method visiting private member.\n // ----------------------------------------------------------\n SeriesData.internalField = function () {\n prepareInvertedIndex = function (data) {\n var invertedIndicesMap = data._invertedIndicesMap;\n zrUtil.each(invertedIndicesMap, function (invertedIndices, dim) {\n var dimInfo = data._dimInfos[dim];\n // Currently, only dimensions that has ordinalMeta can create inverted indices.\n var ordinalMeta = dimInfo.ordinalMeta;\n var store = data._store;\n if (ordinalMeta) {\n invertedIndices = invertedIndicesMap[dim] = new CtorInt32Array(ordinalMeta.categories.length);\n // The default value of TypedArray is 0. To avoid miss\n // mapping to 0, we should set it as INDEX_NOT_FOUND.\n for (var i = 0; i < invertedIndices.length; i++) {\n invertedIndices[i] = INDEX_NOT_FOUND;\n }\n for (var i = 0; i < store.count(); i++) {\n // Only support the case that all values are distinct.\n invertedIndices[store.get(dimInfo.storeDimIndex, i)] = i;\n }\n }\n });\n };\n getIdNameFromStore = function (data, dimIdx, idx) {\n return convertOptionIdName(data._getCategory(dimIdx, idx), null);\n };\n /**\r\n * @see the comment of `List['getId']`.\r\n */\n getId = function (data, rawIndex) {\n var id = data._idList[rawIndex];\n if (id == null && data._idDimIdx != null) {\n id = getIdNameFromStore(data, data._idDimIdx, rawIndex);\n }\n if (id == null) {\n id = ID_PREFIX + rawIndex;\n }\n return id;\n };\n normalizeDimensions = function (dimensions) {\n if (!zrUtil.isArray(dimensions)) {\n dimensions = dimensions != null ? [dimensions] : [];\n }\n return dimensions;\n };\n /**\r\n * Data in excludeDimensions is copied, otherwise transferred.\r\n */\n cloneListForMapAndSample = function (original) {\n var list = new SeriesData(original._schema ? original._schema : map(original.dimensions, original._getDimInfo, original), original.hostModel);\n // FIXME If needs stackedOn, value may already been stacked\n transferProperties(list, original);\n return list;\n };\n transferProperties = function (target, source) {\n zrUtil.each(TRANSFERABLE_PROPERTIES.concat(source.__wrappedMethods || []), function (propName) {\n if (source.hasOwnProperty(propName)) {\n target[propName] = source[propName];\n }\n });\n target.__wrappedMethods = source.__wrappedMethods;\n zrUtil.each(CLONE_PROPERTIES, function (propName) {\n target[propName] = zrUtil.clone(source[propName]);\n });\n target._calculationInfo = zrUtil.extend({}, source._calculationInfo);\n };\n makeIdFromName = function (data, idx) {\n var nameList = data._nameList;\n var idList = data._idList;\n var nameDimIdx = data._nameDimIdx;\n var idDimIdx = data._idDimIdx;\n var name = nameList[idx];\n var id = idList[idx];\n if (name == null && nameDimIdx != null) {\n nameList[idx] = name = getIdNameFromStore(data, nameDimIdx, idx);\n }\n if (id == null && idDimIdx != null) {\n idList[idx] = id = getIdNameFromStore(data, idDimIdx, idx);\n }\n if (id == null && name != null) {\n var nameRepeatCount = data._nameRepeatCount;\n var nmCnt = nameRepeatCount[name] = (nameRepeatCount[name] || 0) + 1;\n id = name;\n if (nmCnt > 1) {\n id += '__ec__' + nmCnt;\n }\n idList[idx] = id;\n }\n };\n }();\n return SeriesData;\n}();\nexport default 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