/* * @license Apache-2.0 * * Copyright (c) 2023 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ // TypeScript Version: 4.1 /// import { ArrayLike } from '@stdlib/types/array'; import { ndarray } from '@stdlib/types/ndarray'; /** * Callback invoked for each ndarray element. * * @returns result */ type Nullary = () => any; /** * Applies a nullary callback and assigns results to elements in an output ndarray. * * @param arrays - array-like object containing an output ndarray * @param fcn - nullary callback * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var ndarray = require( '@stdlib/ndarray/ctor' ); * * function fcn() { * return 10.0; * } * * // Create data buffers: * var xbuf = new Float64Array( 12 ); * * // Define the shape of the output array: * var shape = [ 3, 1, 2 ]; * * // Define the array strides: * var sx = [ 4, 4, 1 ]; * * // Define the index offset: * var ox = 1; * * // Create the output ndarray: * var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' ); * * // Apply the nullary function: * nullary( [ x ], fcn ); * * console.log( x.data ); * // => [ 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0 ] */ declare function nullary( arrays: ArrayLike, fcn: Nullary ): void; // EXPORTS // export = nullary;