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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/cgemv' ).ndarray;
// MAIN //
/**
* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are ndarrays, and `A` is an `M` by `N` matrix.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a two-dimensional input ndarray.
* - first one-dimensional input ndarray.
* - second one-dimensional input/output ndarray.
* - first zero-dimensional ndarray containing a scalar constant.
* - second zero-dimensional ndarray containing a scalar constant.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {Object} 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 ndarray = require( '@stdlib/ndarray/base/ctor' );
* var Complex64Array = require( '@stdlib/array/complex64' );
*
* var A = new ndarray( 'complex64', new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ), [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
* var y = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
*
* var alpha = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
* 'dtype': 'complex64'
* });
* var beta = scalar2ndarray( new Complex64( 1.0, 0.0 ), {
* 'dtype': 'complex64'
* });
*
* var z = cgemv( [ A, x, y, alpha, beta ] );
* // returns <ndarray>[ <Complex64>[ -9.0, 30.0 ], <Complex64>[ -15.0, 72.0 ] ]
*
* var bool = ( z === y );
* // returns true
*/
function cgemv( arrays ) {
var alpha = ndarraylike2scalar( arrays[ 3 ] );
var beta = ndarraylike2scalar( arrays[ 4 ] );
var A = arrays[ 0 ];
var x = arrays[ 1 ];
var y = arrays[ 2 ];
strided( 'no-transpose', numelDimension( A, 0 ), numelDimension( A, 1 ), alpha, getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ), beta, getData( y ), getStride( y, 0 ), getOffset( y ) );
return y;
}
// EXPORTS //
module.exports = cgemv;
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