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* @license Apache-2.0
*
* Copyright (c) 2026 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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var cwax = require( '@stdlib/blas/ext/base/cwax' ).ndarray;
var capx = require( '@stdlib/blas/ext/base/capx' ).ndarray;
// MAIN //
/**
* Multiplies each element in an input one-dimensional single-precision complex floating-point ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional single-precision complex floating-point output ndarray.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a one-dimensional output ndarray.
* - a zero-dimensional ndarray containing the scalar constant to multiply.
* - a zero-dimensional ndarray containing the scalar constant to add.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {ndarray} output ndarray
*
* @example
* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = new Complex64Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
* var w = new Complex64Vector( 2 );
*
* var alpha = scalar2ndarray( new Complex64( 5.0, 0.0 ), {
* 'dtype': 'complex64'
* });
*
* var beta = scalar2ndarray( new Complex64( 3.0, 0.0 ), {
* 'dtype': 'complex64'
* });
*
* var out = cwaxpb( [ x, w, alpha, beta ] );
* // returns <ndarray>[ <Complex64>[ -7.0, 5.0 ], <Complex64>[ 18.0, -25.0 ] ]
*
* var bool = ( out === w );
* // returns true
*/
function cwaxpb( arrays ) {
var alpha;
var wbuf;
var beta;
var sw;
var ow;
var N;
var x;
var w;
x = arrays[ 0 ];
w = arrays[ 1 ];
alpha = ndarraylike2scalar( arrays[ 2 ] );
beta = ndarraylike2scalar( arrays[ 3 ] );
N = numelDimension( x, 0 );
wbuf = getData( w );
sw = getStride( w, 0 );
ow = getOffset( w );
// Multiply each element by the scalar constant (w = alpha*x):
cwax( N, alpha, getData( x ), getStride( x, 0 ), getOffset( x ), wbuf, sw, ow ); // eslint-disable-line max-len
// Add the scalar constant (w += beta):
capx( N, beta, wbuf, sw, ow );
return w;
}
// EXPORTS //
module.exports = cwaxpb;
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