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37 KiB
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1 line
37 KiB
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{"ast":null,"code":"import \"core-js/modules/es.function.name.js\";\nimport \"core-js/modules/es.array.slice.js\";\nimport \"core-js/modules/es.array.sort.js\";\n\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/*\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*/\nimport { VISUAL_DIMENSIONS } from '../../util/types.js';\nimport SeriesDimensionDefine from '../SeriesDimensionDefine.js';\nimport { createHashMap, defaults, each, extend, isObject, isString } from 'zrender/lib/core/util.js';\nimport { createSourceFromSeriesDataOption, isSourceInstance } from '../Source.js';\nimport { CtorInt32Array } from '../DataStore.js';\nimport { normalizeToArray } from '../../util/model.js';\nimport { BE_ORDINAL, guessOrdinal } from './sourceHelper.js';\nimport { createDimNameMap, ensureSourceDimNameMap, SeriesDataSchema, shouldOmitUnusedDimensions } from './SeriesDataSchema.js';\n/**\n * For outside usage compat (like echarts-gl are using it).\n */\n\nexport function createDimensions(source, opt) {\n return prepareSeriesDataSchema(source, opt).dimensions;\n}\n/**\n * This method builds the relationship between:\n * + \"what the coord sys or series requires (see `coordDimensions`)\",\n * + \"what the user defines (in `encode` and `dimensions`, see `opt.dimensionsDefine` and `opt.encodeDefine`)\"\n * + \"what the data source provids (see `source`)\".\n *\n * Some guess strategy will be adapted if user does not define something.\n * If no 'value' dimension specified, the first no-named dimension will be\n * named as 'value'.\n *\n * @return The results are always sorted by `storeDimIndex` asc.\n */\n\nexport default function prepareSeriesDataSchema( // TODO: TYPE completeDimensions type\nsource, opt) {\n if (!isSourceInstance(source)) {\n source = createSourceFromSeriesDataOption(source);\n }\n\n opt = opt || {};\n var sysDims = opt.coordDimensions || [];\n var dimsDef = opt.dimensionsDefine || source.dimensionsDefine || [];\n var coordDimNameMap = createHashMap();\n var resultList = [];\n var dimCount = getDimCount(source, sysDims, dimsDef, opt.dimensionsCount); // Try to ignore unused dimensions if sharing a high dimension datastore\n // 30 is an experience value.\n\n var omitUnusedDimensions = opt.canOmitUnusedDimensions && shouldOmitUnusedDimensions(dimCount);\n var isUsingSourceDimensionsDef = dimsDef === source.dimensionsDefine;\n var dataDimNameMap = isUsingSourceDimensionsDef ? ensureSourceDimNameMap(source) : createDimNameMap(dimsDef);\n var encodeDef = opt.encodeDefine;\n\n if (!encodeDef && opt.encodeDefaulter) {\n encodeDef = opt.encodeDefaulter(source, dimCount);\n }\n\n var encodeDefMap = createHashMap(encodeDef);\n var indicesMap = new CtorInt32Array(dimCount);\n\n for (var i = 0; i < indicesMap.length; i++) {\n indicesMap[i] = -1;\n }\n\n function getResultItem(dimIdx) {\n var idx = indicesMap[dimIdx];\n\n if (idx < 0) {\n var dimDefItemRaw = dimsDef[dimIdx];\n var dimDefItem = isObject(dimDefItemRaw) ? dimDefItemRaw : {\n name: dimDefItemRaw\n };\n var resultItem = new SeriesDimensionDefine();\n var userDimName = dimDefItem.name;\n\n if (userDimName != null && dataDimNameMap.get(userDimName) != null) {\n // Only if `series.dimensions` is defined in option\n // displayName, will be set, and dimension will be displayed vertically in\n // tooltip by default.\n resultItem.name = resultItem.displayName = userDimName;\n }\n\n dimDefItem.type != null && (resultItem.type = dimDefItem.type);\n dimDefItem.displayName != null && (resultItem.displayName = dimDefItem.displayName);\n var newIdx = resultList.length;\n indicesMap[dimIdx] = newIdx;\n resultItem.storeDimIndex = dimIdx;\n resultList.push(resultItem);\n return resultItem;\n }\n\n return resultList[idx];\n }\n\n if (!omitUnusedDimensions) {\n for (var i = 0; i < dimCount; i++) {\n getResultItem(i);\n }\n } // Set `coordDim` and `coordDimIndex` by `encodeDefMap` and normalize `encodeDefMap`.\n\n\n encodeDefMap.each(function (dataDimsRaw, coordDim) {\n var dataDims = normalizeToArray(dataDimsRaw).slice(); // Note: It is allowed that `dataDims.length` is `0`, e.g., options is\n // `{encode: {x: -1, y: 1}}`. Should not filter anything in\n // this case.\n\n if (dataDims.length === 1 && !isString(dataDims[0]) && dataDims[0] < 0) {\n encodeDefMap.set(coordDim, false);\n return;\n }\n\n var validDataDims = encodeDefMap.set(coordDim, []);\n each(dataDims, function (resultDimIdxOrName, idx) {\n // The input resultDimIdx can be dim name or index.\n var resultDimIdx = isString(resultDimIdxOrName) ? dataDimNameMap.get(resultDimIdxOrName) : resultDimIdxOrName;\n\n if (resultDimIdx != null && resultDimIdx < dimCount) {\n validDataDims[idx] = resultDimIdx;\n applyDim(getResultItem(resultDimIdx), coordDim, idx);\n }\n });\n }); // Apply templates and default order from `sysDims`.\n\n var availDimIdx = 0;\n each(sysDims, function (sysDimItemRaw) {\n var coordDim;\n var sysDimItemDimsDef;\n var sysDimItemOtherDims;\n var sysDimItem;\n\n if (isString(sysDimItemRaw)) {\n coordDim = sysDimItemRaw;\n sysDimItem = {};\n } else {\n sysDimItem = sysDimItemRaw;\n coordDim = sysDimItem.name;\n var ordinalMeta = sysDimItem.ordinalMeta;\n sysDimItem.ordinalMeta = null;\n sysDimItem = extend({}, sysDimItem);\n sysDimItem.ordinalMeta = ordinalMeta; // `coordDimIndex` should not be set directly.\n\n sysDimItemDimsDef = sysDimItem.dimsDef;\n sysDimItemOtherDims = sysDimItem.otherDims;\n sysDimItem.name = sysDimItem.coordDim = sysDimItem.coordDimIndex = sysDimItem.dimsDef = sysDimItem.otherDims = null;\n }\n\n var dataDims = encodeDefMap.get(coordDim); // negative resultDimIdx means no need to mapping.\n\n if (dataDims === false) {\n return;\n }\n\n dataDims = normalizeToArray(dataDims); // dimensions provides default dim sequences.\n\n if (!dataDims.length) {\n for (var i = 0; i < (sysDimItemDimsDef && sysDimItemDimsDef.length || 1); i++) {\n while (availDimIdx < dimCount && getResultItem(availDimIdx).coordDim != null) {\n availDimIdx++;\n }\n\n availDimIdx < dimCount && dataDims.push(availDimIdx++);\n }\n } // Apply templates.\n\n\n each(dataDims, function (resultDimIdx, coordDimIndex) {\n var resultItem = getResultItem(resultDimIdx); // Coordinate system has a higher priority on dim type than source.\n\n if (isUsingSourceDimensionsDef && sysDimItem.type != null) {\n resultItem.type = sysDimItem.type;\n }\n\n applyDim(defaults(resultItem, sysDimItem), coordDim, coordDimIndex);\n\n if (resultItem.name == null && sysDimItemDimsDef) {\n var sysDimItemDimsDefItem = sysDimItemDimsDef[coordDimIndex];\n !isObject(sysDimItemDimsDefItem) && (sysDimItemDimsDefItem = {\n name: sysDimItemDimsDefItem\n });\n resultItem.name = resultItem.displayName = sysDimItemDimsDefItem.name;\n resultItem.defaultTooltip = sysDimItemDimsDefItem.defaultTooltip;\n } // FIXME refactor, currently only used in case: {otherDims: {tooltip: false}}\n\n\n sysDimItemOtherDims && defaults(resultItem.otherDims, sysDimItemOtherDims);\n });\n });\n\n function applyDim(resultItem, coordDim, coordDimIndex) {\n if (VISUAL_DIMENSIONS.get(coordDim) != null) {\n resultItem.otherDims[coordDim] = coordDimIndex;\n } else {\n resultItem.coordDim = coordDim;\n resultItem.coordDimIndex = coordDimIndex;\n coordDimNameMap.set(coordDim, true);\n }\n } // Make sure the first extra dim is 'value'.\n\n\n var generateCoord = opt.generateCoord;\n var generateCoordCount = opt.generateCoordCount;\n var fromZero = generateCoordCount != null;\n generateCoordCount = generateCoord ? generateCoordCount || 1 : 0;\n var extra = generateCoord || 'value';\n\n function ifNoNameFillWithCoordName(resultItem) {\n if (resultItem.name == null) {\n // Duplication will be removed in the next step.\n resultItem.name = resultItem.coordDim;\n }\n } // Set dim `name` and other `coordDim` and other props.\n\n\n if (!omitUnusedDimensions) {\n for (var resultDimIdx = 0; resultDimIdx < dimCount; resultDimIdx++) {\n var resultItem = getResultItem(resultDimIdx);\n var coordDim = resultItem.coordDim;\n\n if (coordDim == null) {\n // TODO no need to generate coordDim for isExtraCoord?\n resultItem.coordDim = genCoordDimName(extra, coordDimNameMap, fromZero);\n resultItem.coordDimIndex = 0; // Series specified generateCoord is using out.\n\n if (!generateCoord || generateCoordCount <= 0) {\n resultItem.isExtraCoord = true;\n }\n\n generateCoordCount--;\n }\n\n ifNoNameFillWithCoordName(resultItem);\n\n if (resultItem.type == null && (guessOrdinal(source, resultDimIdx) === BE_ORDINAL.Must // Consider the case:\n // {\n // dataset: {source: [\n // ['2001', 123],\n // ['2002', 456],\n // ...\n // ['The others', 987],\n // ]},\n // series: {type: 'pie'}\n // }\n // The first column should better be treated as a \"ordinal\" although it\n // might not be detected as an \"ordinal\" by `guessOrdinal`.\n || resultItem.isExtraCoord && (resultItem.otherDims.itemName != null || resultItem.otherDims.seriesName != null))) {\n resultItem.type = 'ordinal';\n }\n }\n } else {\n each(resultList, function (resultItem) {\n // PENDING: guessOrdinal or let user specify type: 'ordinal' manually?\n ifNoNameFillWithCoordName(resultItem);\n }); // Sort dimensions: there are some rule that use the last dim as label,\n // and for some latter travel process easier.\n\n resultList.sort(function (item0, item1) {\n return item0.storeDimIndex - item1.storeDimIndex;\n });\n }\n\n removeDuplication(resultList);\n return new SeriesDataSchema({\n source: source,\n dimensions: resultList,\n fullDimensionCount: dimCount,\n dimensionOmitted: omitUnusedDimensions\n });\n}\n\nfunction removeDuplication(result) {\n var duplicationMap = createHashMap();\n\n for (var i = 0; i < result.length; i++) {\n var dim = result[i];\n var dimOriginalName = dim.name;\n var count = duplicationMap.get(dimOriginalName) || 0;\n\n if (count > 0) {\n // Starts from 0.\n dim.name = dimOriginalName + (count - 1);\n }\n\n count++;\n duplicationMap.set(dimOriginalName, count);\n }\n} // ??? 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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/*\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*/\nimport { VISUAL_DIMENSIONS } from '../../util/types.js';\nimport SeriesDimensionDefine from '../SeriesDimensionDefine.js';\nimport { createHashMap, defaults, each, extend, isObject, isString } from 'zrender/lib/core/util.js';\nimport { createSourceFromSeriesDataOption, isSourceInstance } from '../Source.js';\nimport { CtorInt32Array } from '../DataStore.js';\nimport { normalizeToArray } from '../../util/model.js';\nimport { BE_ORDINAL, guessOrdinal } from './sourceHelper.js';\nimport { createDimNameMap, ensureSourceDimNameMap, SeriesDataSchema, shouldOmitUnusedDimensions } from './SeriesDataSchema.js';\n/**\n * For outside usage compat (like echarts-gl are using it).\n */\n\nexport function createDimensions(source, opt) {\n return prepareSeriesDataSchema(source, opt).dimensions;\n}\n/**\n * This method builds the relationship between:\n * + \"what the coord sys or series requires (see `coordDimensions`)\",\n * + \"what the user defines (in `encode` and `dimensions`, see `opt.dimensionsDefine` and `opt.encodeDefine`)\"\n * + \"what the data source provids (see `source`)\".\n *\n * Some guess strategy will be adapted if user does not define something.\n * If no 'value' dimension specified, the first no-named dimension will be\n * named as 'value'.\n *\n * @return The results are always sorted by `storeDimIndex` asc.\n */\n\nexport default function prepareSeriesDataSchema( // TODO: TYPE completeDimensions type\nsource, opt) {\n if (!isSourceInstance(source)) {\n source = createSourceFromSeriesDataOption(source);\n }\n\n opt = opt || {};\n var sysDims = opt.coordDimensions || [];\n var dimsDef = opt.dimensionsDefine || source.dimensionsDefine || [];\n var coordDimNameMap = createHashMap();\n var resultList = [];\n var dimCount = getDimCount(source, sysDims, dimsDef, opt.dimensionsCount); // Try to ignore unused dimensions if sharing a high dimension datastore\n // 30 is an experience value.\n\n var omitUnusedDimensions = opt.canOmitUnusedDimensions && shouldOmitUnusedDimensions(dimCount);\n var isUsingSourceDimensionsDef = dimsDef === source.dimensionsDefine;\n var dataDimNameMap = isUsingSourceDimensionsDef ? ensureSourceDimNameMap(source) : createDimNameMap(dimsDef);\n var encodeDef = opt.encodeDefine;\n\n if (!encodeDef && opt.encodeDefaulter) {\n encodeDef = opt.encodeDefaulter(source, dimCount);\n }\n\n var encodeDefMap = createHashMap(encodeDef);\n var indicesMap = new CtorInt32Array(dimCount);\n\n for (var i = 0; i < indicesMap.length; i++) {\n indicesMap[i] = -1;\n }\n\n function getResultItem(dimIdx) {\n var idx = indicesMap[dimIdx];\n\n if (idx < 0) {\n var dimDefItemRaw = dimsDef[dimIdx];\n var dimDefItem = isObject(dimDefItemRaw) ? dimDefItemRaw : {\n name: dimDefItemRaw\n };\n var resultItem = new SeriesDimensionDefine();\n var userDimName = dimDefItem.name;\n\n if (userDimName != null && dataDimNameMap.get(userDimName) != null) {\n // Only if `series.dimensions` is defined in option\n // displayName, will be set, and dimension will be displayed vertically in\n // tooltip by default.\n resultItem.name = resultItem.displayName = userDimName;\n }\n\n dimDefItem.type != null && (resultItem.type = dimDefItem.type);\n dimDefItem.displayName != null && (resultItem.displayName = dimDefItem.displayName);\n var newIdx = resultList.length;\n indicesMap[dimIdx] = newIdx;\n resultItem.storeDimIndex = dimIdx;\n resultList.push(resultItem);\n return resultItem;\n }\n\n return resultList[idx];\n }\n\n if (!omitUnusedDimensions) {\n for (var i = 0; i < dimCount; i++) {\n getResultItem(i);\n }\n } // Set `coordDim` and `coordDimIndex` by `encodeDefMap` and normalize `encodeDefMap`.\n\n\n encodeDefMap.each(function (dataDimsRaw, coordDim) {\n var dataDims = normalizeToArray(dataDimsRaw).slice(); // Note: It is allowed that `dataDims.length` is `0`, e.g., options is\n // `{encode: {x: -1, y: 1}}`. Should not filter anything in\n // this case.\n\n if (dataDims.length === 1 && !isString(dataDims[0]) && dataDims[0] < 0) {\n encodeDefMap.set(coordDim, false);\n return;\n }\n\n var validDataDims = encodeDefMap.set(coordDim, []);\n each(dataDims, function (resultDimIdxOrName, idx) {\n // The input resultDimIdx can be dim name or index.\n var resultDimIdx = isString(resultDimIdxOrName) ? dataDimNameMap.get(resultDimIdxOrName) : resultDimIdxOrName;\n\n if (resultDimIdx != null && resultDimIdx < dimCount) {\n validDataDims[idx] = resultDimIdx;\n applyDim(getResultItem(resultDimIdx), coordDim, idx);\n }\n });\n }); // Apply templates and default order from `sysDims`.\n\n var availDimIdx = 0;\n each(sysDims, function (sysDimItemRaw) {\n var coordDim;\n var sysDimItemDimsDef;\n var sysDimItemOtherDims;\n var sysDimItem;\n\n if (isString(sysDimItemRaw)) {\n coordDim = sysDimItemRaw;\n sysDimItem = {};\n } else {\n sysDimItem = sysDimItemRaw;\n coordDim = sysDimItem.name;\n var ordinalMeta = sysDimItem.ordinalMeta;\n sysDimItem.ordinalMeta = null;\n sysDimItem = extend({}, sysDimItem);\n sysDimItem.ordinalMeta = ordinalMeta; // `coordDimIndex` should not be set directly.\n\n sysDimItemDimsDef = sysDimItem.dimsDef;\n sysDimItemOtherDims = sysDimItem.otherDims;\n sysDimItem.name = sysDimItem.coordDim = sysDimItem.coordDimIndex = sysDimItem.dimsDef = sysDimItem.otherDims = null;\n }\n\n var dataDims = encodeDefMap.get(coordDim); // negative resultDimIdx means no need to mapping.\n\n if (dataDims === false) {\n return;\n }\n\n dataDims = normalizeToArray(dataDims); // dimensions provides default dim sequences.\n\n if (!dataDims.length) {\n for (var i = 0; i < (sysDimItemDimsDef && sysDimItemDimsDef.length || 1); i++) {\n while (availDimIdx < dimCount && getResultItem(availDimIdx).coordDim != null) {\n availDimIdx++;\n }\n\n availDimIdx < dimCount && dataDims.push(availDimIdx++);\n }\n } // Apply templates.\n\n\n each(dataDims, function (resultDimIdx, coordDimIndex) {\n var resultItem = getResultItem(resultDimIdx); // Coordinate system has a higher priority on dim type than source.\n\n if (isUsingSourceDimensionsDef && sysDimItem.type != null) {\n resultItem.type = sysDimItem.type;\n }\n\n applyDim(defaults(resultItem, sysDimItem), coordDim, coordDimIndex);\n\n if (resultItem.name == null && sysDimItemDimsDef) {\n var sysDimItemDimsDefItem = sysDimItemDimsDef[coordDimIndex];\n !isObject(sysDimItemDimsDefItem) && (sysDimItemDimsDefItem = {\n name: sysDimItemDimsDefItem\n });\n resultItem.name = resultItem.displayName = sysDimItemDimsDefItem.name;\n resultItem.defaultTooltip = sysDimItemDimsDefItem.defaultTooltip;\n } // FIXME refactor, currently only used in case: {otherDims: {tooltip: false}}\n\n\n sysDimItemOtherDims && defaults(resultItem.otherDims, sysDimItemOtherDims);\n });\n });\n\n function applyDim(resultItem, coordDim, coordDimIndex) {\n if (VISUAL_DIMENSIONS.get(coordDim) != null) {\n resultItem.otherDims[coordDim] = coordDimIndex;\n } else {\n resultItem.coordDim = coordDim;\n resultItem.coordDimIndex = coordDimIndex;\n coordDimNameMap.set(coordDim, true);\n }\n } // Make sure the first extra dim is 'value'.\n\n\n var generateCoord = opt.generateCoord;\n var generateCoordCount = opt.generateCoordCount;\n var fromZero = generateCoordCount != null;\n generateCoordCount = generateCoord ? generateCoordCount || 1 : 0;\n var extra = generateCoord || 'value';\n\n function ifNoNameFillWithCoordName(resultItem) {\n if (resultItem.name == null) {\n // Duplication will be removed in the next step.\n resultItem.name = resultItem.coordDim;\n }\n } // Set dim `name` and other `coordDim` and other props.\n\n\n if (!omitUnusedDimensions) {\n for (var resultDimIdx = 0; resultDimIdx < dimCount; resultDimIdx++) {\n var resultItem = getResultItem(resultDimIdx);\n var coordDim = resultItem.coordDim;\n\n if (coordDim == null) {\n // TODO no need to generate coordDim for isExtraCoord?\n resultItem.coordDim = genCoordDimName(extra, coordDimNameMap, fromZero);\n resultItem.coordDimIndex = 0; // Series specified generateCoord is using out.\n\n if (!generateCoord || generateCoordCount <= 0) {\n resultItem.isExtraCoord = true;\n }\n\n generateCoordCount--;\n }\n\n ifNoNameFillWithCoordName(resultItem);\n\n if (resultItem.type == null && (guessOrdinal(source, resultDimIdx) === BE_ORDINAL.Must // Consider the case:\n // {\n // dataset: {source: [\n // ['2001', 123],\n // ['2002', 456],\n // ...\n // ['The others', 987],\n // ]},\n // series: {type: 'pie'}\n // }\n // The first column should better be treated as a \"ordinal\" although it\n // might not be detected as an \"ordinal\" by `guessOrdinal`.\n || resultItem.isExtraCoord && (resultItem.otherDims.itemName != null || resultItem.otherDims.seriesName != null))) {\n resultItem.type = 'ordinal';\n }\n }\n } else {\n each(resultList, function (resultItem) {\n // PENDING: guessOrdinal or let user specify type: 'ordinal' manually?\n ifNoNameFillWithCoordName(resultItem);\n }); // Sort dimensions: there are some rule that use the last dim as label,\n // and for some latter travel process easier.\n\n resultList.sort(function (item0, item1) {\n return item0.storeDimIndex - item1.storeDimIndex;\n });\n }\n\n removeDuplication(resultList);\n return new SeriesDataSchema({\n source: source,\n dimensions: resultList,\n fullDimensionCount: dimCount,\n dimensionOmitted: omitUnusedDimensions\n });\n}\n\nfunction removeDuplication(result) {\n var duplicationMap = createHashMap();\n\n for (var i = 0; i < result.length; i++) {\n var dim = result[i];\n var dimOriginalName = dim.name;\n var count = duplicationMap.get(dimOriginalName) || 0;\n\n if (count > 0) {\n // Starts from 0.\n dim.name = dimOriginalName + (count - 1);\n }\n\n count++;\n duplicationMap.set(dimOriginalName, count);\n }\n} // ??? TODO\n// Originally detect dimCount by data[0]. Should we\n// optimize it to only by sysDims and dimensions and encode.\n// So only necessary dims will be initialized.\n// But\n// (1) custom series should be considered. where other dims\n// may be visited.\n// (2) sometimes user need to calculate bubble size or use visualMap\n// on other dimensions besides coordSys needed.\n// So, dims that is not used by system, should be shared in data store?\n\n\nfunction getDimCount(source, sysDims, dimsDef, optDimCount) {\n // Note that the result dimCount should not small than columns count\n // of data, otherwise `dataDimNameMap` checking will be incorrect.\n var dimCount = Math.max(source.dimensionsDetectedCount || 1, sysDims.length, dimsDef.length, optDimCount || 0);\n each(sysDims, function (sysDimItem) {\n var sysDimItemDimsDef;\n\n if (isObject(sysDimItem) && (sysDimItemDimsDef = sysDimItem.dimsDef)) {\n dimCount = Math.max(dimCount, sysDimItemDimsDef.length);\n }\n });\n return dimCount;\n}\n\nfunction genCoordDimName(name, map, fromZero) {\n if (fromZero || map.hasKey(name)) {\n var i = 0;\n\n while (map.hasKey(name + i)) {\n i++;\n }\n\n name += i;\n }\n\n map.set(name, true);\n return name;\n}"]},"metadata":{},"sourceType":"module"} |