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{"ast":null,"code":"/*\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\n/**\r\n * AUTO-GENERATED FILE. DO NOT MODIFY.\r\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 { assert, isArray, eqNaN, isFunction } from 'zrender/lib/core/util.js';\nimport { parsePercent } from 'zrender/lib/contain/text.js';\n\nvar ScaleRawExtentInfo =\n/** @class */\nfunction () {\n function ScaleRawExtentInfo(scale, model, // Usually: data extent from all series on this axis.\n originalExtent) {\n this._prepareParams(scale, model, originalExtent);\n }\n /**\r\n * Parameters depending on ouside (like model, user callback)\r\n * are prepared and fixed here.\r\n */\n\n\n ScaleRawExtentInfo.prototype._prepareParams = function (scale, model, // Usually: data extent from all series on this axis.\n dataExtent) {\n if (dataExtent[1] < dataExtent[0]) {\n dataExtent = [NaN, NaN];\n }\n\n this._dataMin = dataExtent[0];\n this._dataMax = dataExtent[1];\n var isOrdinal = this._isOrdinal = scale.type === 'ordinal';\n this._needCrossZero = scale.type === 'interval' && model.getNeedCrossZero && model.getNeedCrossZero();\n var modelMinRaw = this._modelMinRaw = model.get('min', true);\n\n if (isFunction(modelMinRaw)) {\n // This callback alway provide users the full data extent (before data filtered).\n this._modelMinNum = parseAxisModelMinMax(scale, modelMinRaw({\n min: dataExtent[0],\n max: dataExtent[1]\n }));\n } else if (modelMinRaw !== 'dataMin') {\n this._modelMinNum = parseAxisModelMinMax(scale, modelMinRaw);\n }\n\n var modelMaxRaw = this._modelMaxRaw = model.get('max', true);\n\n if (isFunction(modelMaxRaw)) {\n // This callback alway provide users the full data extent (before data filtered).\n this._modelMaxNum = parseAxisModelMinMax(scale, modelMaxRaw({\n min: dataExtent[0],\n max: dataExtent[1]\n }));\n } else if (modelMaxRaw !== 'dataMax') {\n this._modelMaxNum = parseAxisModelMinMax(scale, modelMaxRaw);\n }\n\n if (isOrdinal) {\n // FIXME: there is a flaw here: if there is no \"block\" data processor like `dataZoom`,\n // and progressive rendering is using, here the category result might just only contain\n // the processed chunk rather than the entire result.\n this._axisDataLen = model.getCategories().length;\n } else {\n var boundaryGap = model.get('boundaryGap');\n var boundaryGapArr = isArray(bounda