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22 KiB
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22 KiB
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{"ast":null,"code":"/*\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 { __extends } from \"tslib\";\n/**\n * Linear continuous scale\n * http://en.wikipedia.org/wiki/Level_of_measurement\n */\n// FIXME only one data\n\nimport Scale from './Scale.js';\nimport OrdinalMeta from '../data/OrdinalMeta.js';\nimport * as scaleHelper from './helper.js';\nimport { isArray, map, isObject, isString } from 'zrender/lib/core/util.js';\n\nvar OrdinalScale =\n/** @class */\nfunction (_super) {\n __extends(OrdinalScale, _super);\n\n function OrdinalScale(setting) {\n var _this = _super.call(this, setting) || this;\n\n _this.type = 'ordinal';\n\n var ordinalMeta = _this.getSetting('ordinalMeta'); // Caution: Should not use instanceof, consider ec-extensions using\n // import approach to get OrdinalMeta class.\n\n\n if (!ordinalMeta) {\n ordinalMeta = new OrdinalMeta({});\n }\n\n if (isArray(ordinalMeta)) {\n ordinalMeta = new OrdinalMeta({\n categories: map(ordinalMeta, function (item) {\n return isObject(item) ? item.value : item;\n })\n });\n }\n\n _this._ordinalMeta = ordinalMeta;\n _this._extent = _this.getSetting('extent') || [0, ordinalMeta.categories.length - 1];\n return _this;\n }\n\n OrdinalScale.prototype.parse = function (val) {\n // Caution: Math.round(null) will return `0` rather than `NaN`\n if (val == null) {\n return NaN;\n }\n\n return isString(val) ? this._ordinalMeta.getOrdinal(val) // val might be float.\n : Math.round(val);\n };\n\n OrdinalScale.prototype.contain = function (rank) {\n rank = this.parse(rank);\n return scaleHelper.contain(rank, this._extent) && this._ordinalMeta.categories[rank] != null;\n };\n /**\n * Normalize given rank or name to linear [0, 1]\n * @param val raw ordinal number.\n * @return normalized value in [0, 1].\n */\n\n\n OrdinalScale.prototype.normalize = function (val) {\n val = this._getTickNumber(this.parse(val));\n return scaleHelper.normalize(val, this._extent);\n };\n /**\n * @param val normalized value in [0, 1].\n * @return raw ordinal number.\n */\n\n\n OrdinalScale.prototype.scale = function (val) {\n val = Math.round(scaleHelper.scale(val, this._extent));\n return this.getRawOrdinalNumber(val);\n };\n\n OrdinalScale.prototype.getTicks = function () {\n var ticks = [];\n var extent = this._extent;\n var rank = extent[0];\n\n whi
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