| 1 |
- {"ast":null,"code":"import \"core-js/modules/es.array.push.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*/\nimport { createHashMap, isObject, retrieve2 } from 'zrender/lib/core/util.js';\nimport { makeInner } from '../../util/model.js';\nimport { shouldRetrieveDataByName } from '../Source.js';\nvar inner = makeInner();\nvar dimTypeShort = {\n float: 'f',\n int: 'i',\n ordinal: 'o',\n number: 'n',\n time: 't'\n};\n/**\r\n * Represents the dimension requirement of a series.\r\n *\r\n * NOTICE:\r\n * When there are too many dimensions in dataset and many series, only the used dimensions\r\n * (i.e., used by coord sys and declared in `series.encode`) are add to `dimensionDefineList`.\r\n * But users may query data by other unused dimension names.\r\n * In this case, users can only query data if and only if they have defined dimension names\r\n * via ec option, so we provide `getDimensionIndexFromSource`, which only query them from\r\n * `source` dimensions.\r\n */\nvar SeriesDataSchema = /** @class */function () {\n function SeriesDataSchema(opt) {\n this.dimensions = opt.dimensions;\n this._dimOmitted = opt.dimensionOmitted;\n this.source = opt.source;\n this._fullDimCount = opt.fullDimensionCount;\n this._updateDimOmitted(opt.dimensionOmitted);\n }\n SeriesDataSchema.prototype.isDimensionOmitted = function () {\n return this._dimOmitted;\n };\n SeriesDataSchema.prototype._updateDimOmitted = function (dimensionOmitted) {\n this._dimOmitted = dimensionOmitted;\n if (!dimensionOmitted) {\n return;\n }\n if (!this._dimNameMap) {\n this._dimNameMap = ensureSourceDimNameMap(this.source);\n }\n };\n /**\r\n * @caution Can only be used when `dimensionOmitted: true`.\r\n *\r\n * Get index by user defined dimension name (i.e., not internal generate name).\r\n * That is, get index from `dimensionsDefine`.\r\n * If no `dimensionsDefine`, or no name get, return -1.\r\n */\n SeriesDataSchema.prototype.getSourceDimensionIndex = function (dimName) {\n return retrieve2(this._dimNameMap.get(dimName), -1);\n };\n /**\r\n * @caution Can only be used when `dimensionOmitted: true`.\r\n *\r\n * Notice: may return `null`/`undefined` if user not specify dimension names.\r\n */\n SeriesDataSchema.prototype.getSourceDimension = function (dimIndex) {\n var dimensionsDefine = this.source.dimensionsDefine;\n if (dimensionsDefine) {\n return dimensionsDefine[dimIndex];\n }\n };\n SeriesDataSchema.prototype.makeStoreSchema = function () {\n var dimCount = this._fullDimCount;\n var willRetrieveDataByName = shouldRetrieveDataByName(this.source);\n var makeHashStrict = !shouldOmitUnusedDimensions(dimCount);\n // If source don't have dimensions or series don't omit unsed dimensions.\n // Generate from seriesDimList directly\n var dimHash = '';\n var dims = [];\n for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < dimCount; fullDimIdx++) {\n var property = void 0;\n var type = void 0;\n var ordinalMeta = void 0;\n var seriesDimDef = this.dimensions[seriesDimIdx];\n // The list has been sorted by `storeDimIndex` asc.\n if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {\n property = willRetrieveDataByName ? seriesDimDef.name : null;\n type = seriesDimDef.type;\n ordinalMeta = seriesDimDef.ordinalMeta;\n seriesDimIdx++;\n } else {\n var sourceDimDef = this.getSourceDimension(fullDimIdx);\n if (sourceDimDef) {\n property = willRetrieveDataByName ? sourceDimDef.name : null;\n type = sourceDimDef.type;\n }\n }\n dims.push({\n property: property,\n type: type,\n ordinalMeta: ordinalMeta\n });\n // If retrieving data by index,\n // use <index, type, ordinalMeta> to determine whether data can be shared.\n // (Because in this case there might be no dimension name defined in dataset, but indices always exists).\n // (Indices are always 0, 1, 2, ..., so we can ignore them to shorten the hash).\n // Otherwise if retrieving data by property name (like `data: [{aa: 123, bb: 765}, ...]`),\n // use <property, type, ordinalMeta> in hash.\n if (willRetrieveDataByName && property != null\n // For data stack, we have make sure each series has its own dim on this store.\n // So we do not add property to hash to make sure they can share this store.\n && (!seriesDimDef || !seriesDimDef.isCalculationCoord)) {\n dimHash += makeHashStrict\n // Use escape character '`' in case that property name contains '$'.\n ? property.replace(/\\`/g, '`1').replace(/\\$/g, '`2')\n // For better performance, when there are large dimensions, tolerant this defects that hardly meet.\n : property;\n }\n dimHash += '$';\n dimHash += dimTypeShort[type] || 'f';\n if (ordinalMeta) {\n dimHash += ordinalMeta.uid;\n }\n dimHash += '$';\n }\n // Source from endpoint(usually series) will be read differently\n // when seriesLayoutBy or startIndex(which is affected by sourceHeader) are different.\n // So we use this three props as key.\n var source = this.source;\n var hash = [source.seriesLayoutBy, source.startIndex, dimHash].join('$$');\n return {\n dimensions: dims,\n hash: hash\n };\n };\n SeriesDataSchema.prototype.makeOutputDimensionNames = function () {\n var result = [];\n for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < this._fullDimCount; fullDimIdx++) {\n var name_1 = void 0;\n var seriesDimDef = this.dimensions[seriesDimIdx];\n // The list has been sorted by `storeDimIndex` asc.\n if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {\n if (!seriesDimDef.isCalculationCoord) {\n name_1 = seriesDimDef.name;\n }\n seriesDimIdx++;\n } else {\n var sourceDimDef = this.getSourceDimension(fullDimIdx);\n if (sourceDimDef) {\n name_1 = sourceDimDef.name;\n }\n }\n result.push(name_1);\n }\n return result;\n };\n SeriesDataSchema.prototype.appendCalculationDimension = function (dimDef) {\n this.dimensions.push(dimDef);\n dimDef.isCalculationCoord = true;\n this._fullDimCount++;\n // If append dimension on a data store, consider the store\n // might be shared by different series, series dimensions not\n // really map to store dimensions.\n this._updateDimOmitted(true);\n };\n return SeriesDataSchema;\n}();\nexport { SeriesDataSchema };\nexport function isSeriesDataSchema(schema) {\n return schema instanceof SeriesDataSchema;\n}\nexport function createDimNameMap(dimsDef) {\n var dataDimNameMap = createHashMap();\n for (var i = 0; i < (dimsDef || []).length; i++) {\n var dimDefItemRaw = dimsDef[i];\n var userDimName = isObject(dimDefItemRaw) ? dimDefItemRaw.name : dimDefItemRaw;\n if (userDimName != null && dataDimNameMap.get(userDimName) == null) {\n dataDimNameMap.set(userDimName, i);\n }\n }\n return dataDimNameMap;\n}\nexport function ensureSourceDimNameMap(source) {\n var innerSource = inner(source);\n return innerSource.dimNameMap || (innerSource.dimNameMap = createDimNameMap(source.dimensionsDefine));\n}\nexport function shouldOmitUnusedDimensions(dimCount) {\n return dimCount > 30;\n}","map":{"version":3,"names":["createHashMap","isObject","retrieve2","makeInner","shouldRetrieveDataByName","inner","dimTypeShort","float","int","ordinal","number","time","SeriesDataSchema","opt","dimensions","_dimOmitted","dimensionOmitted","source","_fullDimCount","fullDimensionCount","_updateDimOmitted","prototype","isDimensionOmitted","_dimNameMap","ensureSourceDimNameMap","getSourceDimensionIndex","dimName","get","getSourceDimension","dimIndex","dimensionsDefine","makeStoreSchema","dimCount","willRetrieveDataByName","makeHashStrict","shouldOmitUnusedDimensions","dimHash","dims","fullDimIdx","seriesDimIdx","property","type","ordinalMeta","seriesDimDef","storeDimIndex","name","sourceDimDef","push","isCalculationCoord","replace","uid","hash","seriesLayoutBy","startIndex","join","makeOutputDimensionNames","result","name_1","appendCalculationDimension","dimDef","isSeriesDataSchema","schema","createDimNameMap","dimsDef","dataDimNameMap","i","length","dimDefItemRaw","userDimName","set","innerSource","dimNameMap"],"sources":["E:/git/2021项目/安科院大屏/node_modules/echarts/lib/data/helper/SeriesDataSchema.js"],"sourcesContent":["\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/**\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*/\nimport { createHashMap, isObject, retrieve2 } from 'zrender/lib/core/util.js';\nimport { makeInner } from '../../util/model.js';\nimport { shouldRetrieveDataByName } from '../Source.js';\nvar inner = makeInner();\nvar dimTypeShort = {\n float: 'f',\n int: 'i',\n ordinal: 'o',\n number: 'n',\n time: 't'\n};\n/**\r\n * Represents the dimension requirement of a series.\r\n *\r\n * NOTICE:\r\n * When there are too many dimensions in dataset and many series, only the used dimensions\r\n * (i.e., used by coord sys and declared in `series.encode`) are add to `dimensionDefineList`.\r\n * But users may query data by other unused dimension names.\r\n * In this case, users can only query data if and only if they have defined dimension names\r\n * via ec option, so we provide `getDimensionIndexFromSource`, which only query them from\r\n * `source` dimensions.\r\n */\nvar SeriesDataSchema = /** @class */function () {\n function SeriesDataSchema(opt) {\n this.dimensions = opt.dimensions;\n this._dimOmitted = opt.dimensionOmitted;\n this.source = opt.source;\n this._fullDimCount = opt.fullDimensionCount;\n this._updateDimOmitted(opt.dimensionOmitted);\n }\n SeriesDataSchema.prototype.isDimensionOmitted = function () {\n return this._dimOmitted;\n };\n SeriesDataSchema.prototype._updateDimOmitted = function (dimensionOmitted) {\n this._dimOmitted = dimensionOmitted;\n if (!dimensionOmitted) {\n return;\n }\n if (!this._dimNameMap) {\n this._dimNameMap = ensureSourceDimNameMap(this.source);\n }\n };\n /**\r\n * @caution Can only be used when `dimensionOmitted: true`.\r\n *\r\n * Get index by user defined dimension name (i.e., not internal generate name).\r\n * That is, get index from `dimensionsDefine`.\r\n * If no `dimensionsDefine`, or no name get, return -1.\r\n */\n SeriesDataSchema.prototype.getSourceDimensionIndex = function (dimName) {\n return retrieve2(this._dimNameMap.get(dimName), -1);\n };\n /**\r\n * @caution Can only be used when `dimensionOmitted: true`.\r\n *\r\n * Notice: may return `null`/`undefined` if user not specify dimension names.\r\n */\n SeriesDataSchema.prototype.getSourceDimension = function (dimIndex) {\n var dimensionsDefine = this.source.dimensionsDefine;\n if (dimensionsDefine) {\n return dimensionsDefine[dimIndex];\n }\n };\n SeriesDataSchema.prototype.makeStoreSchema = function () {\n var dimCount = this._fullDimCount;\n var willRetrieveDataByName = shouldRetrieveDataByName(this.source);\n var makeHashStrict = !shouldOmitUnusedDimensions(dimCount);\n // If source don't have dimensions or series don't omit unsed dimensions.\n // Generate from seriesDimList directly\n var dimHash = '';\n var dims = [];\n for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < dimCount; fullDimIdx++) {\n var property = void 0;\n var type = void 0;\n var ordinalMeta = void 0;\n var seriesDimDef = this.dimensions[seriesDimIdx];\n // The list has been sorted by `storeDimIndex` asc.\n if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {\n property = willRetrieveDataByName ? seriesDimDef.name : null;\n type = seriesDimDef.type;\n ordinalMeta = seriesDimDef.ordinalMeta;\n seriesDimIdx++;\n } else {\n var sourceDimDef = this.getSourceDimension(fullDimIdx);\n if (sourceDimDef) {\n property = willRetrieveDataByName ? sourceDimDef.name : null;\n type = sourceDimDef.type;\n }\n }\n dims.push({\n property: property,\n type: type,\n ordinalMeta: ordinalMeta\n });\n // If retrieving data by index,\n // use <index, type, ordinalMeta> to determine whether data can be shared.\n // (Because in this case there might be no dimension name defined in dataset, but indices always exists).\n // (Indices are always 0, 1, 2, ..., so we can ignore them to shorten the hash).\n // Otherwise if retrieving data by property name (like `data: [{aa: 123, bb: 765}, ...]`),\n // use <property, type, ordinalMeta> in hash.\n if (willRetrieveDataByName && property != null\n // For data stack, we have make sure each series has its own dim on this store.\n // So we do not add property to hash to make sure they can share this store.\n && (!seriesDimDef || !seriesDimDef.isCalculationCoord)) {\n dimHash += makeHashStrict\n // Use escape character '`' in case that property name contains '$'.\n ? property.replace(/\\`/g, '`1').replace(/\\$/g, '`2')\n // For better performance, when there are large dimensions, tolerant this defects that hardly meet.\n : property;\n }\n dimHash += '$';\n dimHash += dimTypeShort[type] || 'f';\n if (ordinalMeta) {\n dimHash += ordinalMeta.uid;\n }\n dimHash += '$';\n }\n // Source from endpoint(usually series) will be read differently\n // when seriesLayoutBy or startIndex(which is affected by sourceHeader) are different.\n // So we use this three props as key.\n var source = this.source;\n var hash = [source.seriesLayoutBy, source.startIndex, dimHash].join('$$');\n return {\n dimensions: dims,\n hash: hash\n };\n };\n SeriesDataSchema.prototype.makeOutputDimensionNames = function () {\n var result = [];\n for (var fullDimIdx = 0, seriesDimIdx = 0; fullDimIdx < this._fullDimCount; fullDimIdx++) {\n var name_1 = void 0;\n var seriesDimDef = this.dimensions[seriesDimIdx];\n // The list has been sorted by `storeDimIndex` asc.\n if (seriesDimDef && seriesDimDef.storeDimIndex === fullDimIdx) {\n if (!seriesDimDef.isCalculationCoord) {\n name_1 = seriesDimDef.name;\n }\n seriesDimIdx++;\n } else {\n var sourceDimDef = this.getSourceDimension(fullDimIdx);\n if (sourceDimDef) {\n name_1 = sourceDimDef.name;\n }\n }\n result.push(name_1);\n }\n return result;\n };\n SeriesDataSchema.prototype.appendCalculationDimension = function (dimDef) {\n this.dimensions.push(dimDef);\n dimDef.isCalculationCoord = true;\n this._fullDimCount++;\n // If append dimension on a data store, consider the store\n // might be shared by different series, series dimensions not\n // really map to store dimensions.\n this._updateDimOmitted(true);\n };\n return SeriesDataSchema;\n}();\nexport { SeriesDataSchema };\nexport function isSeriesDataSchema(schema) {\n return schema instanceof SeriesDataSchema;\n}\nexport function createDimNameMap(dimsDef) {\n var dataDimNameMap = createHashMap();\n for (var i = 0; i < (dimsDef || []).length; i++) {\n var dimDefItemRaw = dimsDef[i];\n var userDimName = isObject(dimDefItemRaw) ? dimDefItemRaw.name : dimDefItemRaw;\n if (userDimName != null && dataDimNameMap.get(userDimName) == null) {\n dataDimNameMap.set(userDimName, i);\n }\n }\n return dataDimNameMap;\n}\nexport function ensureSourceDimNameMap(source) {\n var innerSource = inner(source);\n return innerSource.dimNameMap || (innerSource.dimNameMap = createDimNameMap(source.dimensionsDefine));\n}\nexport function shouldOmitUnusedDimensions(dimCount) {\n return dimCount > 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