text: /**
  * @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';
  
  // MAIN //
  
  /**
  * Applies a unary callback to elements in a strided input array and assigns results to elements in a strided output array.
  *
  * @private
  * @param {ArrayLikeObject<Collection>} arrays - array-like object containing one input array 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 {NonNegativeIntegerArray} offsets - array-like object containing the starting indices (i.e., index offsets) for the input and output arrays
  * @param {Callback} fcn - unary callback
  * @returns {void}
  *
  * @example
  * var Float64Array = require( '@stdlib/array-float64' );
  *
  * function scale( x ) {
  *     return x * 10.0;
  * }
  *
  * var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
  * var y = new Float64Array( x.length );
  *
  * var shape = [ x.length ];
  * var strides = [ 1, 1 ];
  * var offsets = [ 0, 0 ];
  *
  * unary( [ x, y ], shape, strides, offsets, scale );
  *
  * console.log( y );
  * // => <Float64Array>[ 10.0, 20.0, 30.0, 40.0, 50.0 ]
  */
  function unary( arrays, shape, strides, offsets, fcn ) {
  	var sx;
  	var sy;
  	var ix;
  	var iy;
  	var x;
  	var y;
  	var N;
  	var i;
  
  	N = shape[ 0 ];
  	if ( N <= 0 ) {
  		return;
  	}
  	ix = offsets[ 0 ];
  	iy = offsets[ 1 ];
  	sx = strides[ 0 ];
  	sy = strides[ 1 ];
  	x = arrays[ 0 ];
  	y = arrays[ 1 ];
  	for ( i = 0; i < N; i++ ) {
  		y[ iy ] = fcn( x[ ix ] );
  		ix += sx;
  		iy += sy;
  	}
  }
  
  
  // EXPORTS //
  
  module.exports = unary;
  