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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 value of the one norm, Frobenius norm, infinity norm, or the element of largest absolute value of an upper Hessenberg matrix.
*
* @module @stdlib/lapack/base/dlanhs
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dlanhs = require( '@stdlib/lapack/base/dlanhs' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.0, 7.0, 8.0 ] );
* var work = new Float64Array( 3 );
*
* var out = dlanhs( 'row-major', 'max', 3, A, 3, work );
* // returns 8.0
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dlanhs = require( '@stdlib/lapack/base/dlanhs' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 0.0, 7.0, 8.0 ] );
* var work = new Float64Array( 3 );
*
* var out = dlanhs.ndarray( 'max', 3, A, 3, 1, 0, work, 1, 0 );
* // returns 8.0
*/
 
// 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 dlanhs;
var tmp = tryRequire( join( __dirname, './native.js' ) );
if ( isError( tmp ) ) {
	dlanhs = main;
} else {
	dlanhs = tmp;
}
 
 
// EXPORTS //
 
module.exports = dlanhs;
 
// exports: { "ndarray": "dlanhs.ndarray" }