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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';
 
/**
* LAPACK routine to compute the factorization of a real symmetric matrix `A` stored in packed format using the Bunch-Kaufman diagonal pivoting method.
*
* @module @stdlib/lapack/base/dsptrf
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dsptrf = require( '@stdlib/lapack/base/dsptrf' );
*
* var AP = new Float64Array( [ 4.0, 1.0, 2.0, -2.0, 0.0, 3.0, 2.0, 1.0, -2.0, -1.0 ] );
* var IPIV = new Int32Array( 4 );
*
* dsptrf( 'column-major', 'upper', 4, AP, IPIV );
* // IPIV => <Int32Array>[ 1, 2, 3, 1 ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dsptrf = require( '@stdlib/lapack/base/dsptrf' );
*
* var AP = new Float64Array( [ 4.0, 1.0, 2.0, -2.0, 0.0, 3.0, 2.0, 1.0, -2.0, -1.0 ] );
* var IPIV = new Int32Array( 4 );
*
* dsptrf.ndarray( 'column-major', 'upper', 4, AP, 1, 0, IPIV, 1, 0 );
* // IPIV => <Int32Array>[ 1, 2, 3, 1 ]
*/
 
// MODULES //
 
var join = require( 'path' ).join;
var tryRequire = require( '@stdlib/utils/try-require' );
var isError = require( '@stdlib/assert/is-error' );
var main = require( './main.js' );
 
 
// MAIN //
 
var dsptrf;
var tmp = tryRequire( join( __dirname, './native.js' ) );
if ( isError( tmp ) ) {
	dsptrf = main;
} else {
	dsptrf = tmp;
}
 
 
// EXPORTS //
 
module.exports = dsptrf;
 
// exports: { "ndarray": "dsptrf.ndarray" }