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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';
/**
* BLAS level 2 routine to perform the matrix-vector operation `y = alpha*A*x + beta*y`.
*
* @module @stdlib/blas/base/ndarray/sgemv
*
* @example
* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
* var Float32Array = require( '@stdlib/array/float32' );
* var sgemv = require( '@stdlib/blas/base/ndarray/sgemv' );
*
* var A = new ndarray( 'float32', new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
* var x = new Float32Vector( [ 1.0, 2.0, 3.0 ] );
* var y = new Float32Vector( [ 4.0, 5.0 ] );
*
* var alpha = scalar2ndarray( 3.0, {
* 'dtype': 'float32'
* });
* var beta = scalar2ndarray( 2.0, {
* 'dtype': 'float32'
* });
*
* var out = sgemv( [ A, x, y, alpha, beta ] );
* // returns <ndarray>[ 50.0, 106.0 ]
*
* var bool = ( out === y );
* // returns true
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
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