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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 { AggregationFnDef } from "./rowAggregationFeature.types.js"; //#region src/features/row-aggregation/aggregationFns.d.ts type RangeValue = Date | number; /** * Sums numeric selected-row values. Non-number values contribute zero. As in * the previous API, `NaN` is a number and therefore propagates through the sum. */ declare const aggregationFn_sum: AggregationFnDef<any, any, unknown, number>; /** * Finds the minimum numeric or Date value from the selected rows. Invalid value * types are ignored; `NaN` preserves the legacy numeric seeding behavior. */ declare const aggregationFn_min: AggregationFnDef<any, any, unknown, RangeValue | undefined>; /** * Finds the maximum numeric or Date value from the selected rows. Invalid value * types are ignored; `NaN` preserves the legacy numeric seeding behavior. */ declare const aggregationFn_max: AggregationFnDef<any, any, unknown, RangeValue | undefined>; /** * Finds the minimum and maximum numeric or Date values from the selected rows. * Empty inputs return * `[undefined, undefined]`, preserving the previous built-in result shape. */ declare const aggregationFn_extent: AggregationFnDef<any, any, unknown, [RangeValue | undefined, RangeValue | undefined]>; /** * Averages number and number-like row values. Nullish and non-numeric values * are ignored; other values retain the legacy unary-plus coercion behavior. */ declare const aggregationFn_mean: AggregationFnDef<any, any, unknown, number | undefined>; /** * Computes the median when every row value is a number. Returns `undefined` * for empty inputs or when any value is non-numeric. */ declare const aggregationFn_median: AggregationFnDef<any, any, unknown, number | undefined>; /** Collects distinct row values using JavaScript `Set` semantics. */ declare const aggregationFn_unique: AggregationFnDef<any, any, unknown, unknown[]>; /** Counts distinct row values using JavaScript `Set` semantics. */ declare const aggregationFn_uniqueCount: AggregationFnDef<any, any, unknown, number>; /** Counts rows, independently of the column's values. */ declare const aggregationFn_count: AggregationFnDef<any, any, unknown, number>; /** Returns the first row's value, including a nullish value. */ declare const aggregationFn_first: AggregationFnDef<any, any, unknown, unknown>; /** Returns the last row's value, including a nullish value. */ declare const aggregationFn_last: AggregationFnDef<any, any, unknown, unknown>; /** * Full built-in registry. Register individual definitions for tree-shaking. * * @deprecated Import individual `aggregationFn_*` definitions instead for a * smaller bundle. This registry remains available for compatibility. */ declare const aggregationFns: { sum: AggregationFnDef<any, any, unknown, number>; min: AggregationFnDef<any, any, unknown, RangeValue | undefined>; max: AggregationFnDef<any, any, unknown, RangeValue | undefined>; extent: AggregationFnDef<any, any, unknown, [RangeValue | undefined, RangeValue | undefined]>; mean: AggregationFnDef<any, any, unknown, number | undefined>; median: AggregationFnDef<any, any, unknown, number | undefined>; unique: AggregationFnDef<any, any, unknown, unknown[]>; uniqueCount: AggregationFnDef<any, any, unknown, number>; count: AggregationFnDef<any, any, unknown, number>; first: AggregationFnDef<any, any, unknown, unknown>; last: AggregationFnDef<any, any, unknown, unknown>; }; type BuiltInAggregationFn = keyof typeof aggregationFns; //#endregion export { BuiltInAggregationFn, aggregationFn_count, aggregationFn_extent, aggregationFn_first, aggregationFn_last, aggregationFn_max, aggregationFn_mean, aggregationFn_median, aggregationFn_min, aggregationFn_sum, aggregationFn_unique, aggregationFn_uniqueCount, aggregationFns };