import { Matrix } from '../types';
/**
 * Generates a matrix based on input `mx` but excluding items based on their modulo and their
 * position in the original matrix.
 *
 * It's a crude implementation of Matlab's `A(1:f:end,1:f:end)` syntax where the first parameter
 * is the matrix, the next one is an array describing the rows to skip [start position, every `f`
 * elements an end position] and the last one follows the same syntax for columns.
 *
 * @example
 * ```
 * img1(1:f:end,1:f:end)
 *
 * ```
 *
 * becomes:
 *
 * ```
 * skip2d(img1, [0, f, img1.length], [0, f, img1[0].length])
 * ```
 *
 * Note that the start index is 0 since, unlike Matlab's, arrays start at 0. Also, unlike in Matlab,
 * `f` must be an integer greater than or equal to 1.
 *
 * @method skip2d
 * @param {Matrix} A - The input matrix
 * @param {Array<number>} - start row, every row, end row
 * @param {Array<number>} - start col, every col, end col
 * @returns {Matrix} B - The downsized matrix
 * @public
 * @memberOf matlab
 * @since 0.0.2
 */
export declare function skip2d(A: Matrix, [startRow, everyRow, endRow]: [number, number, number], [startCol, everyCol, endCol]: [number, number, number]): Matrix;