/* * @license Apache-2.0 * * Copyright (c) 2025 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 { typedndarray } from '@stdlib/types/ndarray'; /** * Callback invoked for each ndarray element. * * @param acc - accumulated result * @param value - current ndarray element * @returns result */ type Callback = ( acc: T, value: U ) => T; /** * Performs a reduction over elements in an ndarray. * * @param arrays - array-like object containing one input ndarray * @param initial - initial value * @param clbk - callback function * @returns accumulated result * * @example * var Float64Array = require( '@stdlib/array/float64' ); * * function add( acc, x ) { * return acc + x; * } * * // Create a data buffer: * var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); * * // Define the shape of the input array: * var shape = [ 3, 1, 2 ]; * * // Define the array strides: * var sx = [ 4, 4, 1 ]; * * // Define the index offset: * var ox = 1; * * // Create the input ndarray-like object: * var x = { * 'dtype': 'float64', * 'data': xbuf, * 'shape': shape, * 'strides': sx, * 'offset': ox, * 'order': 'row-major' * }; * * // Compute the sum: * var v = accumulateUnary( [ x ], 0.0, add ); * // returns 39.0 */ declare function accumulateUnary( arrays: ArrayLike>, initial: T, clbk: Callback ): T; // EXPORTS // export = accumulateUnary;