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19 KiB
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{"ast":null,"code":"import \"core-js/modules/es.function.name.js\";\nimport \"core-js/modules/es.array.concat.js\";\nimport \"core-js/modules/es.array.slice.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 { each, createHashMap, assert, map } from 'zrender/lib/core/util.js';\nimport { VISUAL_DIMENSIONS } from '../../util/types.js';\n\nvar DimensionUserOuput =\n/** @class */\nfunction () {\n function DimensionUserOuput(encode, dimRequest) {\n this._encode = encode;\n this._schema = dimRequest;\n }\n\n DimensionUserOuput.prototype.get = function () {\n return {\n // Do not generate full dimension name until fist used.\n fullDimensions: this._getFullDimensionNames(),\n encode: this._encode\n };\n };\n /**\n * Get all data store dimension names.\n * Theoretically a series data store is defined both by series and used dataset (if any).\n * If some dimensions are omitted for performance reason in `this.dimensions`,\n * the dimension name may not be auto-generated if user does not specify a dimension name.\n * In this case, the dimension name is `null`/`undefined`.\n */\n\n\n DimensionUserOuput.prototype._getFullDimensionNames = function () {\n if (!this._cachedDimNames) {\n this._cachedDimNames = this._schema ? this._schema.makeOutputDimensionNames() : [];\n }\n\n return this._cachedDimNames;\n };\n\n return DimensionUserOuput;\n}();\n\n;\nexport function summarizeDimensions(data, schema) {\n var summary = {};\n var encode = summary.encode = {};\n var notExtraCoordDimMap = createHashMap();\n var defaultedLabel = [];\n var defaultedTooltip = [];\n var userOutputEncode = {};\n each(data.dimensions, function (dimName) {\n var dimItem = data.getDimensionInfo(dimName);\n var coordDim = dimItem.coordDim;\n\n if (coordDim) {\n if (process.env.NODE_ENV !== 'production') {\n assert(VISUAL_DIMENSIONS.get(coordDim) == null);\n }\n\n var coordDimIndex = dimItem.coordDimIndex;\n getOrCreateEncodeArr(encode, coordDim)[coordDimIndex] = dimName;\n\n if (!dimItem.isExtraCoord) {\n notExtraCoordDimMap.set(coordDim, 1); // Use the last coord dim (and label friendly) as default label,\n // because when dataset is used, it is hard to guess which dimension\n // can be value dimension. If both show x, y on label is not look good,\n // and conventionally y axis is focused more.\n\n if (mayLabelDimType(dimItem.type)) {\n defaultedLabel[0] = dimName;\n } // User output encode do not contain generated coords.\n // And it only has index. User can use index to retrieve value from the raw item array.\n\n\n getOrCreateEncodeArr(userOutputEncode, coordDim)[coordDimIndex] = data.getDimensionIndex(dimItem.name);\n }\n\n if (dimItem.defaultTooltip) {\n defaultedTooltip.push(dimName);\n }\n }\n\n VISUAL_DIMENSIONS.each(function (v, otherDim) {\n var encodeArr = getOrCreateEncodeArr(encode, otherDim);\n var dimIndex = dimItem.otherDims[otherDim];\n\n if (dimIndex != null && dimIndex !== false) {\n encodeArr[dimIndex] = dimItem.name;\n }\n });\n });\n var dataDimsOnCoord = [];\n var encodeFirstDimNotExtra = {};\n notExtraCoordDimMap.each(function (v, coordDim) {\n var dimArr = encode[coordDim];\n encodeFirstDimNotExtra[coordDim] = dimArr[0]; // Not necessary to remove duplicate, because a data\n // dim canot on more than one coordDim.\n\n dataDimsOnCoord = dataDimsOnCoord.concat(dimArr);\n });\n summary.dataDimsOnCoord = dataDimsOnCoord;\n summary.dataDimIndicesOnCoord = map(dataDimsOnCoord, function (dimName) {\n return data.getDimensionInfo(dimName).storeDimIndex;\n });\n summary.encodeFirstDimNotExtra = encodeFirstDimNotExtra;\n var encodeLabel = encode.label; // FIXME `encode.label` is not recommended, because formatter cannot be set\n // in this way. Use label.formatter instead. Maybe remove this approach someday.\n\n if (encodeLabel && encodeLabel.length) {\n defaultedLabel = encodeLabel.slice();\n }\n\n var encodeTooltip = encode.tooltip;\n\n if (encodeTooltip && encodeTooltip.length) {\n defaultedTooltip = encodeTooltip.slice();\n } else if (!defaultedTooltip.length) {\n defaultedTooltip = defaultedLabel.slice();\n }\n\n encode.defaultedLabel = defaultedLabel;\n encode.defaultedTooltip = defaultedTooltip;\n summary.userOutput = new DimensionUserOuput(userOutputEncode, schema);\n return summary;\n}\n\nfunction getOrCreateEncodeArr(encode, dim) {\n if (!encode.hasOwnProperty(dim)) {\n encode[dim] = [];\n }\n\n return encode[dim];\n} // FIXME:TS should be type `AxisType`\n\n\nexport function getDimensionTypeByAxis(axisType) {\n return axisType === 'category' ? 'ordinal' : axisType === 'time' ? 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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 { each, createHashMap, assert, map } from 'zrender/lib/core/util.js';\nimport { VISUAL_DIMENSIONS } from '../../util/types.js';\n\nvar DimensionUserOuput =\n/** @class */\nfunction () {\n function DimensionUserOuput(encode, dimRequest) {\n this._encode = encode;\n this._schema = dimRequest;\n }\n\n DimensionUserOuput.prototype.get = function () {\n return {\n // Do not generate full dimension name until fist used.\n fullDimensions: this._getFullDimensionNames(),\n encode: this._encode\n };\n };\n /**\n * Get all data store dimension names.\n * Theoretically a series data store is defined both by series and used dataset (if any).\n * If some dimensions are omitted for performance reason in `this.dimensions`,\n * the dimension name may not be auto-generated if user does not specify a dimension name.\n * In this case, the dimension name is `null`/`undefined`.\n */\n\n\n DimensionUserOuput.prototype._getFullDimensionNames = function () {\n if (!this._cachedDimNames) {\n this._cachedDimNames = this._schema ? this._schema.makeOutputDimensionNames() : [];\n }\n\n return this._cachedDimNames;\n };\n\n return DimensionUserOuput;\n}();\n\n;\nexport function summarizeDimensions(data, schema) {\n var summary = {};\n var encode = summary.encode = {};\n var notExtraCoordDimMap = createHashMap();\n var defaultedLabel = [];\n var defaultedTooltip = [];\n var userOutputEncode = {};\n each(data.dimensions, function (dimName) {\n var dimItem = data.getDimensionInfo(dimName);\n var coordDim = dimItem.coordDim;\n\n if (coordDim) {\n if (process.env.NODE_ENV !== 'production') {\n assert(VISUAL_DIMENSIONS.get(coordDim) == null);\n }\n\n var coordDimIndex = dimItem.coordDimIndex;\n getOrCreateEncodeArr(encode, coordDim)[coordDimIndex] = dimName;\n\n if (!dimItem.isExtraCoord) {\n notExtraCoordDimMap.set(coordDim, 1); // Use the last coord dim (and label friendly) as default label,\n // because when dataset is used, it is hard to guess which dimension\n // can be value dimension. If both show x, y on label is not look good,\n // and conventionally y axis is focused more.\n\n if (mayLabelDimType(dimItem.type)) {\n defaultedLabel[0] = dimName;\n } // User output encode do not contain generated coords.\n // And it only has index. User can use index to retrieve value from the raw item array.\n\n\n getOrCreateEncodeArr(userOutputEncode, coordDim)[coordDimIndex] = data.getDimensionIndex(dimItem.name);\n }\n\n if (dimItem.defaultTooltip) {\n defaultedTooltip.push(dimName);\n }\n }\n\n VISUAL_DIMENSIONS.each(function (v, otherDim) {\n var encodeArr = getOrCreateEncodeArr(encode, otherDim);\n var dimIndex = dimItem.otherDims[otherDim];\n\n if (dimIndex != null && dimIndex !== false) {\n encodeArr[dimIndex] = dimItem.name;\n }\n });\n });\n var dataDimsOnCoord = [];\n var encodeFirstDimNotExtra = {};\n notExtraCoordDimMap.each(function (v, coordDim) {\n var dimArr = encode[coordDim];\n encodeFirstDimNotExtra[coordDim] = dimArr[0]; // Not necessary to remove duplicate, because a data\n // dim canot on more than one coordDim.\n\n dataDimsOnCoord = dataDimsOnCoord.concat(dimArr);\n });\n summary.dataDimsOnCoord = dataDimsOnCoord;\n summary.dataDimIndicesOnCoord = map(dataDimsOnCoord, function (dimName) {\n return data.getDimensionInfo(dimName).storeDimIndex;\n });\n summary.encodeFirstDimNotExtra = encodeFirstDimNotExtra;\n var encodeLabel = encode.label; // FIXME `encode.label` is not recommended, because formatter cannot be set\n // in this way. Use label.formatter instead. Maybe remove this approach someday.\n\n if (encodeLabel && encodeLabel.length) {\n defaultedLabel = encodeLabel.slice();\n }\n\n var encodeTooltip = encode.tooltip;\n\n if (encodeTooltip && encodeTooltip.length) {\n defaultedTooltip = encodeTooltip.slice();\n } else if (!defaultedTooltip.length) {\n defaultedTooltip = defaultedLabel.slice();\n }\n\n encode.defaultedLabel = defaultedLabel;\n encode.defaultedTooltip = defaultedTooltip;\n summary.userOutput = new DimensionUserOuput(userOutputEncode, schema);\n return summary;\n}\n\nfunction getOrCreateEncodeArr(encode, dim) {\n if (!encode.hasOwnProperty(dim)) {\n encode[dim] = [];\n }\n\n return encode[dim];\n} // FIXME:TS should be type `AxisType`\n\n\nexport function getDimensionTypeByAxis(axisType) {\n return axisType === 'category' ? 'ordinal' : axisType === 'time' ? 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