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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 unary function to each element retrieved from a zero-dimensional input ndarray according to a callback function and assigns results to elements in an equivalently shaped output ndarray.
*
* @private
* @param {Object} x - object containing input ndarray meta data
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} x.accessors - data buffer accessors
* @param {Object} y - object containing output ndarray meta data
* @param {string} y.dtype - data type
* @param {Collection} y.data - data buffer
* @param {NonNegativeIntegerArray} y.shape - dimensions
* @param {IntegerArray} y.strides - stride lengths
* @param {NonNegativeInteger} y.offset - index offset
* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
* @param {Array<Function>} y.accessors - data buffer accessors
* @param {Function} fcn - unary function to apply to callback return values
* @param {Callback} clbk - callback
* @param {*} [thisArg] - callback execution context
* @returns {void}
*
* @example
* var cidentityf = require( '@stdlib/complex/float32/base/identity' );
* var Complex64Array = require( '@stdlib/array/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var realf = require( '@stdlib/complex/float32/real' );
* var imagf = require( '@stdlib/complex/float32/imag' );
*
* function scale( z ) {
* return new Complex64( realf(z)*10.0, imagf(z)*10.0 );
* }
*
* // Create data buffers:
* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
* var ybuf = new Complex64Array( 2 );
*
* // Define the shape of the input and output arrays:
* var shape = [];
*
* // Define the array strides:
* var sx = [ 0 ];
* var sy = [ 0 ];
*
* // Define the index offsets:
* var ox = 1;
* var oy = 0;
*
* // Define getters and setters:
* function getter( buf, idx ) {
* return buf.get( idx );
* }
*
* function setter( buf, idx, value ) {
* buf.set( value, idx );
* }
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'dtype': 'complex64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
* var y = {
* 'dtype': 'complex64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major',
* 'accessors': [ getter, setter ]
* };
*
* // Apply the unary function:
* unary0d( x, y, scale, cidentityf );
*
* var v = y.data.get( 0 );
*
* var re = realf( v );
* // returns 30.0
*
* var im = imagf( v );
* // returns 40.0
*/
function unary0d( x, y, fcn, clbk, thisArg ) {
var ox = x.offset;
var oy = y.offset;
var v = clbk.call( thisArg, x.accessors[ 0 ]( x.data, ox ), 0, [ ox, oy ], [ x, y ] ); // eslint-disable-line max-len
if ( v !== void 0 ) {
y.accessors[ 1 ]( y.data, oy, fcn( v ) );
}
}
// EXPORTS //
module.exports = unary0d;
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