import { Source } from '../Source.js';
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import { DimensionName, OptionEncode, DimensionIndex, SeriesEncodableModel } from '../../util/types.js';
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import { DatasetModel } from '../../component/dataset/install.js';
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import SeriesModel from '../../model/Series.js';
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import GlobalModel from '../../model/Global.js';
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import { CoordDimensionDefinition } from './createDimensions.js';
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export declare const BE_ORDINAL: {
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Must: number;
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Might: number;
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Not: number;
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};
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declare type BeOrdinalValue = (typeof BE_ORDINAL)[keyof typeof BE_ORDINAL];
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declare type SeriesEncodeInternal = {
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[key in keyof OptionEncode]: DimensionIndex[];
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};
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/**
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* MUST be called before mergeOption of all series.
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*/
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export declare function resetSourceDefaulter(ecModel: GlobalModel): void;
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/**
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* [The strategy of the arrengment of data dimensions for dataset]:
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* "value way": all axes are non-category axes. So series one by one take
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* several (the number is coordSysDims.length) dimensions from dataset.
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* The result of data arrengment of data dimensions like:
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* | ser0_x | ser0_y | ser1_x | ser1_y | ser2_x | ser2_y |
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* "category way": at least one axis is category axis. So the the first data
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* dimension is always mapped to the first category axis and shared by
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* all of the series. The other data dimensions are taken by series like
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* "value way" does.
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* The result of data arrengment of data dimensions like:
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* | ser_shared_x | ser0_y | ser1_y | ser2_y |
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*
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* @return encode Never be `null/undefined`.
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*/
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export declare function makeSeriesEncodeForAxisCoordSys(coordDimensions: (DimensionName | CoordDimensionDefinition)[], seriesModel: SeriesModel, source: Source): SeriesEncodeInternal;
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/**
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* Work for data like [{name: ..., value: ...}, ...].
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*
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* @return encode Never be `null/undefined`.
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*/
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export declare function makeSeriesEncodeForNameBased(seriesModel: SeriesModel, source: Source, dimCount: number): SeriesEncodeInternal;
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/**
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* @return If return null/undefined, indicate that should not use datasetModel.
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*/
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export declare function querySeriesUpstreamDatasetModel(seriesModel: SeriesEncodableModel): DatasetModel;
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/**
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* @return Always return an array event empty.
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*/
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export declare function queryDatasetUpstreamDatasetModels(datasetModel: DatasetModel): DatasetModel[];
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/**
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* The rule should not be complex, otherwise user might not
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* be able to known where the data is wrong.
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* The code is ugly, but how to make it neat?
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*/
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export declare function guessOrdinal(source: Source, dimIndex: DimensionIndex): BeOrdinalValue;
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export {};
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