/**
 * CPU-side mirror of the GPU `DataFilterExtension` test (spec: "Filter-aware
 * stats & data (the coherence rule)") — `ctx.stats`/`ctx.dataInViewport`
 * apply the SAME field+range/category test(s) by default, so a chart/stat
 * reflects what the map visibly shows. A row whose field isn't a finite
 * number (numeric) or isn't in the keep-list (categorical) is treated as
 * filtered-out, matching the GPU path. With more than one dimension of
 * EITHER kind a row passes only if every dimension's test passes (AND
 * across dimensions) — the same semantics deck.gl's own packed
 * `filterRange`/`filterCategories` arrays apply GPU-side. Numeric and
 * categorical are independent mechanisms (see `applyFilterWiring`'s doc
 * comment) but combine the same way: a row must pass BOTH kinds when both
 * are active on a layer.
 */
import type { Shape, LayerFilter, LayerCategoryFilter } from "./ir";
export declare function applyDeclarativeFilter(rows: readonly unknown[], shape: Shape, filter: LayerFilter): unknown[];
/** The same test as a reusable predicate — the columnar viewport filter runs it inside its index-aligned loop. */
export declare function declarativeFilterPredicate(shape: Shape, filter: LayerFilter): (row: unknown) => boolean;
export declare function applyDeclarativeCategoryFilter(rows: readonly unknown[], shape: Shape, categoryFilter: LayerCategoryFilter): unknown[];
/** Categorical twin of `declarativeFilterPredicate` — set membership instead of a range test. */
export declare function declarativeCategoryFilterPredicate(shape: Shape, categoryFilter: LayerCategoryFilter): (row: unknown) => boolean;
export declare function warnCategoryCardinality(categoryFilter: LayerCategoryFilter | undefined, rows: readonly unknown[], shape: Shape, warnLabel: string): void;