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@stdlib/strided

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/** * @license Apache-2.0 * * Copyright (c) 2020 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. */ 'use strict'; // MODULES // var stride2offset = require( './../../../base/stride2offset' ); var ndarray = require( './ndarray.js' ); // MAIN // /** * Applies a quinary callback to strided input array elements and assigns results to elements in a strided output array. * * @param {ArrayLikeObject<Collection>} arrays - array-like object containing five input arrays and one output array * @param {NonNegativeIntegerArray} shape - array-like object containing a single element, the number of indexed elements * @param {IntegerArray} strides - array-like object containing the stride lengths for the input and output arrays * @param {Callback} fcn - quinary callback * @returns {void} * * @example * var add = require( '@stdlib/math/base/ops/add5' ); * var Float64Array = require( '@stdlib/array/float64' ); * * var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); * var z = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); * var w = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); * var u = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); * var v = new Float64Array( x.length ); * * var shape = [ x.length ]; * var strides = [ 1, 1, 1, 1, 1, 1 ]; * * quinary( [ x, y, z, w, u, v ], shape, strides, add ); * * console.log( v ); * // => <Float64Array>[ 5.0, 10.0, 15.0, 20.0, 25.0 ] */ function quinary( arrays, shape, strides, fcn ) { var offsets; var N; N = shape[ 0 ]; offsets = [ stride2offset( N, strides[ 0 ] ), stride2offset( N, strides[ 1 ] ), stride2offset( N, strides[ 2 ] ), stride2offset( N, strides[ 3 ] ), stride2offset( N, strides[ 4 ] ), stride2offset( N, strides[ 5 ] ) ]; return ndarray( arrays, shape, strides, offsets, fcn ); } // EXPORTS // module.exports = quinary;