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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 strided = require( '@stdlib/blas/base/caxpy' ).ndarray;
 
 
// MAIN //
 
/**
* Multiplies a one-dimensional single-precision complex floating-point ndarray `x` by a constant `alpha` and adds the result to a one-dimensional single-precision complex floating-point ndarray `y`.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray, an output ndarray, and a zero-dimensional ndarray containing a scalar constant
* @returns {Object} output ndarray
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
*
* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
* var x = new ndarray( 'complex64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
*
* var ybuf = new Complex64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
* var y = new ndarray( 'complex64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
*
* var alpha = scalar2ndarray( new Complex64( 0.4, -0.7 ), 'complex64', 'row-major' );
*
* var z = caxpy( [ x, y, alpha ] );
* // returns <ndarray>[ <Complex64>[ ~2.8, ~1.1 ], <Complex64>[ 5.0, ~0.5 ], <Complex64>[ ~7.2, ~-0.1 ], <Complex64>[ ~9.4, ~-0.7 ] ]
*
* var bool = ( z === y );
* // returns true
*/
function caxpy( arrays ) {
	var alpha = ndarraylike2scalar( arrays[ 2 ] );
	var x = arrays[ 0 ];
	var y = arrays[ 1 ];
	strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len
	return y;
}
 
 
// EXPORTS //
 
module.exports = caxpy;