| 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 { isTypedArray, clone, createHashMap, isArray, isObject, isArrayLike, hasOwn, assert, each, map, isNumber, isString, keys } from 'zrender/lib/core/util.js';\nimport { SOURCE_FORMAT_ORIGINAL, SERIES_LAYOUT_BY_COLUMN, SOURCE_FORMAT_UNKNOWN, SOURCE_FORMAT_KEYED_COLUMNS, SOURCE_FORMAT_TYPED_ARRAY, SOURCE_FORMAT_ARRAY_ROWS, SOURCE_FORMAT_OBJECT_ROWS, SERIES_LAYOUT_BY_ROW } from '../util/types.js';\nimport { getDataItemValue } from '../util/model.js';\nimport { BE_ORDINAL, guessOrdinal } from './helper/sourceHelper.js';\n;\n// @inner\nvar SourceImpl = /** @class */function () {\n function SourceImpl(fields) {\n this.data = fields.data || (fields.sourceFormat === SOURCE_FORMAT_KEYED_COLUMNS ? {} : []);\n this.sourceFormat = fields.sourceFormat || SOURCE_FORMAT_UNKNOWN;\n // Visit config\n this.seriesLayoutBy = fields.seriesLayoutBy || SERIES_LAYOUT_BY_COLUMN;\n this.startIndex = fields.startIndex || 0;\n this.dimensionsDetectedCount = fields.dimensionsDetectedCount;\n this.metaRawOption = fields.metaRawOption;\n var dimensionsDefine = this.dimensionsDefine = fields.dimensionsDefine;\n if (dimensionsDefine) {\n for (var i = 0; i < dimensionsDefine.length; i++) {\n var dim = dimensionsDefine[i];\n if (dim.type == null) {\n if (guessOrdinal(this, i) === BE_ORDINAL.Must) {\n dim.type = 'ordinal';\n }\n }\n }\n }\n }\n return SourceImpl;\n}();\nexport function isSourceInstance(val) {\n return val instanceof SourceImpl;\n}\n/**\r\n * Create a source from option.\r\n * NOTE: Created source is immutable. Don't change any properties in it.\r\n */\nexport function createSource(sourceData, thisMetaRawOption,\n// can be null. If not provided, auto detect it from `sourceData`.\nsourceFormat) {\n sourceFormat = sourceFormat || detectSourceFormat(sourceData);\n var seriesLayoutBy = thisMetaRawOption.seriesLayoutBy;\n var determined = determineSourceDimensions(sourceData, sourceFormat, seriesLayoutBy, thisMetaRawOption.sourceHeader, thisMetaRawOption.dimensions);\n var source = new SourceImpl({\n data: sourceData,\n sourceFormat: sourceFormat,\n seriesLayoutBy: seriesLayoutBy,\n dimensionsDefine: determined.dimensionsDefine,\n startIndex: determined.startIndex,\n dimensionsDetectedCount: determined.dimensionsDetectedCount,\n metaRawOption: clone(thisMetaRawOption)\n });\n return source;\n}\n/**\r\n * Wrap original series data for some compatibility cases.\r\n */\nexport function createSourceFromSeriesDataOption(data) {\n return new SourceImpl({\n data: data,\n sourceFormat: isTypedArray(data) ? SOURCE_FORMAT_TYPED_ARRAY : SOURCE_FORMAT_ORIGINAL\n });\n}\n/**\r\n * Clone source but excludes source data.\r\n */\nexport function cloneSourceShallow(source) {\n return new SourceImpl({\n data: source.data,\n sourceFormat: source.sourceFormat,\n seriesLayoutBy: source.seriesLayoutBy,\n dimensionsDefine: clone(source.dimensionsDefine),\n startIndex: source.startIndex,\n dimensionsDetectedCount: source.dimensionsDetectedCount\n });\n}\n/**\r\n * Note: An empty array will be detected as `SOURCE_FORMAT_ARRAY_ROWS`.\r\n */\nexport function detectSourceFormat(data) {\n var sourceFormat = SOURCE_FORMAT_UNKNOWN;\n if (isTypedArray(data)) {\n sourceFormat = SOURCE_FORMAT_TYPED_ARRAY;\n } else if (isArray(data)) {\n // FIXME Whether tolerate null in top level array?\n if (data.length === 0) {\n sourceFormat = SOURCE_FORMAT_ARRAY_ROWS;\n }\n for (var i = 0, len = data.length; i < len; i++) {\n var item = data[i];\n if (item == null) {\n continue;\n } else if (isArray(item) || isTypedArray(item)) {\n sourceFormat = SOURCE_FORMAT_ARRAY_ROWS;\n break;\n } else if (isObject(item)) {\n sourceFormat = SOURCE_FORMAT_OBJECT_ROWS;\n break;\n }\n }\n } else if (isObject(data)) {\n for (var key in data) {\n if (hasOwn(data, key) && isArrayLike(data[key])) {\n sourceFormat = SOURCE_FORMAT_KEYED_COLUMNS;\n break;\n }\n }\n }\n return sourceFormat;\n}\n/**\r\n * Determine the source definitions from data standalone dimensions definitions\r\n * are not specified.\r\n */\nfunction determineSourceDimensions(data, sourceFormat, seriesLayoutBy, sourceHeader,\n// standalone raw dimensions definition, like:\n// {\n// dimensions: ['aa', 'bb', { name: 'cc', type: 'time' }]\n// }\n// in `dataset` or `series`\ndimensionsDefine) {\n var dimensionsDetectedCount;\n var startIndex;\n // PENDING: Could data be null/undefined here?\n // currently, if `dataset.source` not specified, error thrown.\n // if `series.data` not specified, nothing rendered without error thrown.\n // Should test these cases.\n if (!data) {\n return {\n dimensionsDefine: normalizeDimensionsOption(dimensionsDefine),\n startIndex: startIndex,\n dimensionsDetectedCount: dimensionsDetectedCount\n };\n }\n if (sourceFormat === SOURCE_FORMAT_ARRAY_ROWS) {\n var dataArrayRows = data;\n // Rule: Most of the first line are string: it is header.\n // Caution: consider a line with 5 string and 1 number,\n // it still can not be sure it is a head, because the\n // 5 string may be 5 values of category columns.\n if (sourceHeader === 'auto' || sourceHeader == null) {\n arrayRowsTravelFirst(function (val) {\n // '-' is regarded as null/undefined.\n if (val != null && val !== '-') {\n if (isString(val)) {\n startIndex == null && (startIndex = 1);\n } else {\n startIndex = 0;\n }\n }\n // 10 is an experience number, avoid long loop.\n }, seriesLayoutBy, dataArrayRows, 10);\n } else {\n startIndex = isNumber(sourceHeader) ? sourceHeader : sourceHeader ? 1 : 0;\n }\n if (!dimensionsDefine && startIndex === 1) {\n dimensionsDefine = [];\n arrayRowsTravelFirst(function (val, index) {\n dimensionsDefine[index] = val != null ? val + '' : '';\n }, seriesLayoutBy, dataArrayRows, Infinity);\n }\n dimensionsDetectedCount = dimensionsDefine ? dimensionsDefine.length : seriesLayoutBy === SERIES_LAYOUT_BY_ROW ? dataArrayRows.length : dataArrayRows[0] ? dataArrayRows[0].length : null;\n } else if (sourceFormat === SOURCE_FORMAT_OBJECT_ROWS) {\n if (!dimensionsDefine) {\n dimensionsDefine = objectRowsCollectDimensions(data);\n }\n } else if (sourceFormat === SOURCE_FORMAT_KEYED_COLUMNS) {\n if (!dimensionsDefine) {\n dimensionsDefine = [];\n each(data, function (colArr, key) {\n dimensionsDefine.push(key);\n });\n }\n } else if (sourceFormat === SOURCE_FORMAT_ORIGINAL) {\n var value0 = getDataItemValue(data[0]);\n dimensionsDetectedCount = isArray(value0) && value0.length || 1;\n } else if (sourceFormat === SOURCE_FORMAT_TYPED_ARRAY) {\n if (process.env.NODE_ENV !== 'production') {\n assert(!!dimensionsDefine, 'dimensions must be given if data is TypedArray.');\n }\n }\n return {\n startIndex: startIndex,\n dimensionsDefine: normalizeDimensionsOption(dimensionsDefine),\n dimensionsDetectedCount: dimensionsDetectedCount\n };\n}\nfunction objectRowsCollectDimensions(data) {\n var firstIndex = 0;\n var obj;\n while (firstIndex < data.length && !(obj = data[firstIndex++])) {} // jshint ignore: line\n if (obj) {\n return keys(obj);\n }\n}\n// Consider dimensions defined like ['A', 'price', 'B', 'price', 'C', 'price'],\n// which is reasonable. But dimension name is duplicated.\n// Returns undefined or an array contains only object without null/undefined or string.\nfunction normalizeDimensionsOption(dimensionsDefine) {\n if (!dimensionsDefine) {\n // The meaning of null/undefined is different from empty array.\n return;\n }\n var nameMap = createHashMap();\n return map(dimensionsDefine, function (rawItem, index) {\n rawItem = isObject(rawItem) ? rawItem : {\n name: rawItem\n };\n // Other fields will be discarded.\n var item = {\n name: rawItem.name,\n displayName: rawItem.displayName,\n type: rawItem.type\n };\n // User can set null in dimensions.\n // We don't auto specify name, otherwise a given name may\n // cause it to be referred unexpectedly.\n if (item.name == null) {\n return item;\n }\n // Also consider number form like 2012.\n item.name += '';\n // User may also specify displayName.\n // displayName will always exists except user not\n // specified or dim name is not specified or detected.\n // (A auto generated dim name will not be used as\n // displayName).\n if (item.displayName == null) {\n item.displayName = item.name;\n }\n var exist = nameMap.get(item.name);\n if (!exist) {\n nameMap.set(item.name, {\n count: 1\n });\n } else {\n item.name += '-' + exist.count++;\n }\n return item;\n });\n}\nfunction arrayRowsTravelFirst(cb, seriesLayoutBy, data, maxLoop) {\n if (seriesLayoutBy === SERIES_LAYOUT_BY_ROW) {\n for (var i = 0; i < data.length && i < maxLoop; i++) {\n cb(data[i] ? data[i][0] : null, i);\n }\n } else {\n var value0 = data[0] || [];\n for (var i = 0; i < value0.length && i < maxLoop; i++) {\n cb(value0[i], i);\n }\n }\n}\nexport function shouldRetrieveDataByName(source) {\n var sourceFormat = source.sourceFormat;\n return sourceFormat === SOURCE_FORMAT_OBJECT_ROWS || sourceFormat === SOURCE_FORMAT_KEYED_COLUMNS;\n}","map":{"version":3,"names":["isTypedArray","clone","createHashMap","isArray","isObject","isArrayLike","hasOwn","assert","each","map","isNumber","isString","keys","SOURCE_FORMAT_ORIGINAL","SERIES_LAYOUT_BY_COLUMN","SOURCE_FORMAT_UNKNOWN","SOURCE_FORMAT_KEYED_COLUMNS","SOURCE_FORMAT_TYPED_ARRAY","SOURCE_FORMAT_ARRAY_ROWS","SOURCE_FORMAT_OBJECT_ROWS","SERIES_LAYOUT_BY_ROW","getDataItemValue","BE_ORDINAL","guessOrdinal","SourceImpl","fields","data","sourceFormat","seriesLayoutBy","startIndex","dimensionsDetectedCount","metaRawOption","dimensionsDefine","i","length","dim","type","Must","isSourceInstance","val","createSource","sourceData","thisMetaRawOption","detectSourceFormat","determined","determineSourceDimensions","sourceHeader","dimensions","source","createSourceFromSeriesDataOption","cloneSourceShallow","len","item","key","normalizeDimensionsOption","dataArrayRows","arrayRowsTravelFirst","index","Infinity","objectRowsCollectDimensions","colArr","push","value0","process","env","NODE_ENV","firstIndex","obj","nameMap","rawItem","name","displayName","exist","get","set","count","cb","maxLoop","shouldRetrieveDataByName"],"sources":["E:/git/2021项目/安科院大屏/node_modules/echarts/lib/data/Source.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 { isTypedArray, clone, createHashMap, isArray, isObject, isArrayLike, hasOwn, assert, each, map, isNumber, isString, keys } from 'zrender/lib/core/util.js';\nimport { SOURCE_FORMAT_ORIGINAL, SERIES_LAYOUT_BY_COLUMN, SOURCE_FORMAT_UNKNOWN, SOURCE_FORMAT_KEYED_COLUMNS, SOURCE_FORMAT_TYPED_ARRAY, SOURCE_FORMAT_ARRAY_ROWS, SOURCE_FORMAT_OBJECT_ROWS, SERIES_LAYOUT_BY_ROW } from '../util/types.js';\nimport { getDataItemValue } from '../util/model.js';\nimport { BE_ORDINAL, guessOrdinal } from './helper/sourceHelper.js';\n;\n// @inner\nvar SourceImpl = /** @class */function () {\n function SourceImpl(fields) {\n this.data = fields.data || (fields.sourceFormat === SOURCE_FORMAT_KEYED_COLUMNS ? {} : []);\n this.sourceFormat = fields.sourceFormat || SOURCE_FORMAT_UNKNOWN;\n // Visit config\n this.seriesLayoutBy = fields.seriesLayoutBy || SERIES_LAYOUT_BY_COLUMN;\n this.startIndex = fields.startIndex || 0;\n this.dimensionsDetectedCount = fields.dimensionsDetectedCount;\n this.metaRawOption = fields.metaRawOption;\n var dimensionsDefine = this.dimensionsDefine = fields.dimensionsDefine;\n if (dimensionsDefine) {\n for (var i = 0; i < dimensionsDefine.length; i++) {\n var dim = dimensionsDefine[i];\n if (dim.type == null) {\n if (guessOrdinal(this, i) === BE_ORDINAL.Must) {\n dim.type = 'ordinal';\n }\n }\n }\n }\n }\n return SourceImpl;\n}();\nexport function isSourceInstance(val) {\n return val instanceof SourceImpl;\n}\n/**\r\n * Create a source from option.\r\n * NOTE: Created source is immutable. Don't change any properties in it.\r\n */\nexport function createSource(sourceData, thisMetaRawOption,\n// can be null. If not provided, auto detect it from `sourceData`.\nsourceFormat) {\n sourceFormat = sourceFormat || detectSourceFormat(sourceData);\n var seriesLayoutBy = thisMetaRawOption.seriesLayoutBy;\n var determined = determineSourceDimensions(sourceData, sourceFormat, seriesLayoutBy, thisMetaRawOption.sourceHeader, thisMetaRawOption.dimensions);\n var source = new SourceImpl({\n data: sourceData,\n sourceFormat: sourceFormat,\n seriesLayoutBy: seriesLayoutBy,\n dimensionsDefine: determined.dimensionsDefine,\n startIndex: determined.startIndex,\n dimensionsDetectedCount: determined.dimensionsDetectedCount,\n metaRawOption: clone(thisMetaRawOption)\n });\n return source;\n}\n/**\r\n * Wrap original series data for some compatibility cases.\r\n */\nexport function createSourceFromSeriesDataOption(data) {\n return new SourceImpl({\n data: data,\n sourceFormat: isTypedArray(data) ? SOURCE_FORMAT_TYPED_ARRAY : SOURCE_FORMAT_ORIGINAL\n });\n}\n/**\r\n * Clone source but excludes source data.\r\n */\nexport function cloneSourceShallow(source) {\n return new SourceImpl({\n data: source.data,\n sourceFormat: source.sourceFormat,\n seriesLayoutBy: source.seriesLayoutBy,\n dimensionsDefine: clone(source.dimensionsDefine),\n startIndex: source.startIndex,\n dimensionsDetectedCount: source.dimensionsDetectedCount\n });\n}\n/**\r\n * Note: An empty array will be detected as `SOURCE_FORMAT_ARRAY_ROWS`.\r\n */\nexport function detectSourceFormat(data) {\n var sourceFormat = SOURCE_FORMAT_UNKNOWN;\n if (isTypedArray(data)) {\n sourceFormat = SOURCE_FORMAT_TYPED_ARRAY;\n } else if (isArray(data)) {\n // FIXME Whether tolerate null in top level array?\n if (data.length === 0) {\n sourceFormat = SOURCE_FORMAT_ARRAY_ROWS;\n }\n for (var i = 0, len = data.length; i < len; i++) {\n var item = data[i];\n if (item == null) {\n continue;\n } else if (isArray(item) || isTypedArray(item)) {\n sourceFormat = SOURCE_FORMAT_ARRAY_ROWS;\n break;\n } else if (isObject(item)) {\n sourceFormat = SOURCE_FORMAT_OBJECT_ROWS;\n break;\n }\n }\n } else if (isObject(data)) {\n for (var key in data) {\n if (hasOwn(data, key) && isArrayLike(data[key])) {\n sourceFormat = SOURCE_FORMAT_KEYED_COLUMNS;\n break;\n }\n }\n }\n return sourceFormat;\n}\n/**\r\n * Determine the source definitions from data standalone dimensions definitions\r\n * are not specified.\r\n */\nfunction determineSourceDimensions(data, sourceFormat, seriesLayoutBy, sourceHeader,\n// standalone raw dimensions definition, like:\n// {\n// dimensions: ['aa', 'bb', { name: 'cc', type: 'time' }]\n// }\n// in `dataset` or `series`\ndimensionsDefine) {\n var dimensionsDetectedCount;\n var startIndex;\n // PENDING: Could data be null/undefined here?\n // currently, if `dataset.source` not specified, error thrown.\n // if `series.data` not specified, nothing rendered without error thrown.\n // Should test these cases.\n if (!data) {\n return {\n dimensionsDefine: normalizeDimensionsOption(dimensionsDefine),\n startIndex: startIndex,\n dimensionsDetectedCount: dimensionsDetectedCount\n };\n }\n if (sourceFormat === SOURCE_FORMAT_ARRAY_ROWS) {\n var dataArrayRows = data;\n // Rule: Most of the first line are string: it is header.\n // Caution: consider a line with 5 string and 1 number,\n // it still can not be sure it is a head, because the\n // 5 string may be 5 values of category columns.\n if (sourceHeader === 'auto' || sourceHeader == null) {\n arrayRowsTravelFirst(function (val) {\n // '-' is regarded as null/undefined.\n if (val != null && val !== '-') {\n if (isString(val)) {\n startIndex == null && (startIndex = 1);\n } else {\n startIndex = 0;\n }\n }\n // 10 is an experience number, avoid long loop.\n }, seriesLayoutBy, dataArrayRows, 10);\n } else {\n startIndex = isNumber(sourceHeader) ? sourceHeader : sourceHeader ? 1 : 0;\n }\n if (!dimensionsDefine && startIndex === 1) {\n dimensionsDefine = [];\n arrayRowsTravelFirst(function (val, index) {\n dimensionsDefine[index] = val != null ? val + '' : '';\n }, seriesLayoutBy, dataArrayRows, Infinity);\n }\n dimensionsDetectedCount = dimensionsDefine ? dimensionsDefine.length : seriesLayoutBy === SERIES_LAYOUT_BY_ROW ? dataArrayRows.length : dataArrayRows[0] ? dataArrayRows[0].length : null;\n } else if (sourceFormat === SOURCE_FORMAT_OBJECT_ROWS) {\n if (!dimensionsDefine) {\n dimensionsDefine = objectRowsCollectDimensions(data);\n }\n } else if (sourceFormat === SOURCE_FORMAT_KEYED_COLUMNS) {\n if (!dimensionsDefine) {\n dimensionsDefine = [];\n each(data, function (colArr, key) {\n dimensionsDefine.push(key);\n });\n }\n } else if (sourceFormat === SOURCE_FORMAT_ORIGINAL) {\n var value0 = getDataItemValue(data[0]);\n dimensionsDetectedCount = isArray(value0) && value0.length || 1;\n } else if (sourceFormat === SOURCE_FORMAT_TYPED_ARRAY) {\n if (process.env.NODE_ENV !== 'production') {\n assert(!!dimensionsDefine, 'dimensions must be given if data is TypedArray.');\n }\n }\n return {\n startIndex: startIndex,\n dimensionsDefine: normalizeDimensionsOption(dimensionsDefine),\n dimensionsDetectedCount: dimensionsDetectedCount\n };\n}\nfunction objectRowsCollectDimensions(data) {\n var firstIndex = 0;\n var obj;\n while (firstIndex < data.length && !(obj = data[firstIndex++])) {} // jshint ignore: line\n if (obj) {\n return keys(obj);\n }\n}\n// Consider dimensions defined like ['A', 'price', 'B', 'price', 'C', 'price'],\n// which is reasonable. But dimension name is duplicated.\n// Returns undefined or an array contains only object without null/undefined or string.\nfunction normalizeDimensionsOption(dimensionsDefine) {\n if (!dimensionsDefine) {\n // The meaning of null/undefined is different from empty array.\n return;\n }\n var nameMap = createHashMap();\n return map(dimensionsDefine, function (rawItem, index) {\n rawItem = isObject(rawItem) ? rawItem : {\n name: rawItem\n };\n // Other fields will be discarded.\n var item = {\n name: rawItem.name,\n displayName: rawItem.displayName,\n type: rawItem.type\n };\n // User can set null in dimensions.\n // We don't auto specify name, otherwise a given name may\n // cause it to be referred unexpectedly.\n if (item.name == null) {\n return item;\n }\n // Also consider number form like 2012.\n item.name += '';\n // User may also specify displayName.\n // displayName will always exists except user not\n // specified or dim name is not specified or detected.\n // (A auto generated dim name will not be used as\n // displayName).\n if (item.displayName == null) {\n item.displayName = item.name;\n }\n var exist = nameMap.get(item.name);\n if (!exist) {\n nameMap.set(item.name, {\n count: 1\n });\n } else {\n item.name += '-' + exist.count++;\n }\n return item;\n });\n}\nfunction arrayRowsTravelFirst(cb, seriesLayoutBy, data, maxLoop) {\n if (seriesLayoutBy === SERIES_LAYOUT_BY_ROW) {\n for (var i = 0; i < data.length && i < maxLoop; i++) {\n cb(data[i] ? data[i][0] : null, i);\n }\n } else {\n var value0 = data[0] || [];\n for (var i = 0; i < value0.length && i < maxLoop; i++) {\n cb(value0[i], i);\n }\n }\n}\nexport function shouldRetrieveDataByName(source) {\n var sourceFormat = source.sourceFormat;\n return sourceFormat === SOURCE_FORMAT_OBJECT_ROWS || sourceFormat === 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