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@tanstack/table-core

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Headless UI for building powerful tables & datagrids for TS/JS.

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import { CellData, RowData } from "../../types/type-utils.js"; import { Column } from "../../types/Column.js"; import { RowModel } from "../../core/row-models/coreRowModelsFeature.types.js"; import { Table } from "../../types/Table.js"; import { TableFeatures } from "../../types/TableFeatures.js"; //#region src/features/column-faceting/columnFacetingFeature.utils.d.ts /** * Computes min and max numeric facet values for one column. * * The configured `facetedMinMaxValues` row-model factory owns the calculation. * If no factory is registered, the result is `undefined`. * * @example * ```ts * const range = column_getFacetedMinMaxValues(column, table) * ``` */ declare function column_getFacetedMinMaxValues<TFeatures extends TableFeatures, TData extends RowData, TValue extends CellData = CellData>(column: Column<TFeatures, TData, TValue>, table: Table<TFeatures, TData>): [number, number] | undefined; /** * Computes the row model used to derive one column's facet values. * * The faceted row model normally applies every other active filter while * excluding this column's own filter. If no factory is registered, the * pre-filtered row model is returned. * * @example * ```ts * const rows = column_getFacetedRowModel(column, table) * ``` */ declare function column_getFacetedRowModel<TFeatures extends TableFeatures, TData extends RowData, TValue extends CellData = CellData>(column: Column<TFeatures, TData, TValue> | undefined, table: Table<TFeatures, TData>): RowModel<TFeatures, TData>; /** * Computes unique facet values and their occurrence counts for one column. * * The configured `facetedUniqueValues` row-model factory owns the calculation. * If no factory is registered, an empty `Map` is returned. * * @example * ```ts * const values = column_getFacetedUniqueValues(column, table) * ``` */ declare function column_getFacetedUniqueValues<TFeatures extends TableFeatures, TData extends RowData, TValue extends CellData = CellData>(column: Column<TFeatures, TData, TValue>, table: Table<TFeatures, TData>): Map<any, number>; /** * Computes min and max numeric facet values for the global filter context. * * The global context is requested with the internal `__global__` column id. If * no factory is registered, the result is `undefined`. * * @example * ```ts * const range = table_getGlobalFacetedMinMaxValues(table) * ``` */ declare function table_getGlobalFacetedMinMaxValues<TFeatures extends TableFeatures, TData extends RowData>(table: Table<TFeatures, TData>): undefined | [number, number]; /** * Computes the row model used to derive global facet values. * * The global context is requested with the internal `__global__` column id. If * no faceted row-model factory is registered, the pre-filtered row model is * returned. * * @example * ```ts * const rows = table_getGlobalFacetedRowModel(table) * ``` */ declare function table_getGlobalFacetedRowModel<TFeatures extends TableFeatures, TData extends RowData>(table: Table<TFeatures, TData>): RowModel<TFeatures, TData>; /** * Computes unique values and occurrence counts for the global filter context. * * The global context is requested with the internal `__global__` column id. If * no factory is registered, an empty `Map` is returned. * * @example * ```ts * const values = table_getGlobalFacetedUniqueValues(table) * ``` */ declare function table_getGlobalFacetedUniqueValues<TFeatures extends TableFeatures, TData extends RowData>(table: Table<TFeatures, TData>): Map<any, number>; //#endregion export { column_getFacetedMinMaxValues, column_getFacetedRowModel, column_getFacetedUniqueValues, table_getGlobalFacetedMinMaxValues, table_getGlobalFacetedRowModel, table_getGlobalFacetedUniqueValues };