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* @license Apache-2.0
*
* Copyright (c) 2025 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 estimate the one-norm of a square matrix `A`, using reverse communication for evaluating matrix-vector products.
*
* @module @stdlib/lapack/base/dlacn2
*
* @example
* var Int32Array = require( '@stdlib/array/int32' );
* var Float64Array = require( '@stdlib/array/float64' );
* var dlacn2 = require( '@stdlib/lapack/base/dlacn2' );
*
* var V = new Float64Array( [ 5.0, 3.0, 1.0, 5.0 ] );
* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
* var ISGN = new Int32Array( [ 1, 1, 1, 1 ] );
* var EST = new Float64Array( [ 10 ] )
* var KASE = new Int32Array( [ 1 ] )
* var ISAVE = new Int32Array( [ 2, 3, 1 ] );
*
* dlacn2( 4, V, X, ISGN, EST, KASE, ISAVE );
* // X => <Float64Array>[ 0.0, 0.0, 0.0, 1.0 ]
* // V => <Float64Array>[ 5.0, 3.0, 1.0, 5.0 ]
* // EST => <Float64Array>[ 10.0 ]
* // KASE => <Int32Array>[ 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 dlacn2;
var tmp = tryRequire( join( __dirname, './native.js' ) );
if ( isError( tmp ) ) {
dlacn2 = main;
} else {
dlacn2 = tmp;
}
// EXPORTS //
module.exports = dlacn2;
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