All files accessors.ndarray.js

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/**
* @license Apache-2.0
*
* Copyright (c) 2022 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';
 
// MAIN //
 
/**
* Applies a nullary callback and assigns results to elements in a strided output array.
*
* @private
* @param {ArrayLikeObject<Collection>} arrays - array-like object containing 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 length for the output array
* @param {NonNegativeIntegerArray} offsets - array-like object containing the starting indices (i.e., index offsets) for the output array
* @param {Array<Function>} accessors - array-like object containing accessors for the output array
* @param {Callback} fcn - nullary callback
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* function fill() {
*     return 3.0;
* }
*
* function set( buf, idx, value ) {
*     buf[ idx ] = value * 2.0;
* }
*
* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
*
* var shape = [ x.length ];
* var strides = [ 1 ];
* var offsets = [ 0 ];
*
* nullary( [ x ], shape, strides, offsets, [ set ], fill );
*
* console.log( x );
* // => <Float64Array>[ 6.0, 6.0, 6.0, 6.0, 6.0 ]
*/
function nullary( arrays, shape, strides, offsets, accessors, fcn ) {
	var xset;
	var sx;
	var ix;
	var x;
	var N;
	var i;
 
	N = shape[ 0 ];
	if ( N <= 0 ) {
		return;
	}
	ix = offsets[ 0 ];
	sx = strides[ 0 ];
	x = arrays[ 0 ];
	xset = accessors[ 0 ];
	for ( i = 0; i < N; i++ ) {
		xset( x, ix, fcn() );
		ix += sx;
	}
}
 
 
// EXPORTS //
 
module.exports = nullary;