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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 getOrder = require( '@stdlib/ndarray/base/order' );
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/dspmv' ).ndarray;
// MAIN //
/**
* Performs the matrix-vector operation `y = alpha*A*x + beta*y`, where `alpha` and `beta` are scalars, `x` and `y` are one-dimensional ndarrays, and `A` is an `N` by `N` symmetric matrix supplied in packed form.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray corresponding to the packed form of `A`.
* - a one-dimensional input ndarray corresponding to `x`.
* - a one-dimensional input/output ndarray corresponding to `y`.
* - a zero-dimensional ndarray specifying whether the upper or lower triangular part of `A` is supplied.
* - a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
* - a zero-dimensional ndarray containing a scalar constant corresponding to `beta`.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {Object} output ndarray
*
* @example
* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
*
* var AP = new Float64Vector( [ 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 ] );
* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
* var y = new Float64Vector( [ 4.0, 5.0, 6.0 ] );
*
* var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
* 'dtype': 'int32'
* });
* var alpha = scalar2ndarray( 3.0, {
* 'dtype': 'float64'
* });
* var beta = scalar2ndarray( 2.0, {
* 'dtype': 'float64'
* });
*
* var z = dspmv( [ AP, x, y, uplo, alpha, beta ] );
* // returns <ndarray>[ 50.0, 40.0, 42.0 ]
*
* var bool = ( z === y );
* // returns true
*/
function dspmv( arrays ) {
var alpha;
var uplo;
var beta;
var AP;
var x;
var y;
AP = arrays[ 0 ];
x = arrays[ 1 ];
y = arrays[ 2 ];
uplo = ndarraylike2scalar( arrays[ 3 ] );
alpha = ndarraylike2scalar( arrays[ 4 ] );
beta = ndarraylike2scalar( arrays[ 5 ] );
strided( getOrder( AP ), uplo, numelDimension( x, 0 ), alpha, getData( AP ), getOffset( AP ), getData( x ), getStride( x, 0 ), getOffset( x ), beta, getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len
return y;
}
// EXPORTS //
module.exports = dspmv;
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