/**
 * Regular-grid N-D multilinear interpolation — `scipy.interpolate.interpn`
 * (default `method='linear'`, `bounds_error=True`).
 *
 * Given `n` strictly-increasing coordinate arrays (`grids`) and a matching
 * `n`-dimensional array of sampled values, `interpn` evaluates the
 * multilinear interpolant at each query point: for a query point, the
 * bracketing grid cell is located along every axis (binary search), and the
 * result is the weighted average of the `2^n` cell-corner values, weighted
 * by the fractional position within the cell along each axis. This is exact
 * for functions that are affine in each coordinate (e.g. `f(x,y) = x + y`)
 * and reduces to ordinary linear interpolation when `n = 1`.
 *
 * @packageDocumentation
 */
/** A nested numeric array of arbitrary depth (matches an N-D grid's shape). */
export type NDArrayInput = number | readonly NDArrayInput[];
/**
 * Regular-grid multilinear interpolation, matching `scipy.interpolate.interpn`.
 *
 * @param grids - One strictly-increasing coordinate array per dimension (1 for
 *   1-D, 2 for bilinear, 3 for trilinear, etc.).
 * @param values - Sampled values on the grid, nested `grids.length` levels
 *   deep and shaped `grids.map(g => g.length)` (e.g. for 2-D,
 *   `values[i][j] === f(grids[0][i], grids[1][j])`); for 1-D, a flat
 *   `number[]`.
 * @param query - Points to interpolate at, each with `grids.length` coordinates.
 * @returns The interpolated value at each query point.
 * @throws If a grid axis is not strictly increasing, if `values`' shape
 *   doesn't match `grids`, or if a query point falls outside the grid's
 *   bounding box (matches scipy's default `bounds_error=True` — no
 *   extrapolation).
 *
 * @example
 * const xs = [0, 1, 2], ys = [0, 1, 2];
 * const vals = xs.map((x) => ys.map((y) => x + y)); // f(x,y) = x + y
 * interpn([xs, ys], vals, [[0.5, 0.5]]); // [1] (exact — f is affine)
 */
export declare function interpn(grids: readonly (readonly number[])[], values: NDArrayInput, query: readonly (readonly number[])[]): number[];
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