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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.
*/
/* eslint-disable max-len */
'use strict';
// MODULES //
var format = require( '@stdlib/string/format' );
var isNorm = require( './is_norm.js' );
var base = require( './base.js' );
// MAIN //
/**
* Computes the value of the one norm, Frobenius norm, infinity norm, or the element of largest absolute value of an upper Hessenberg matrix `A` using alternative indexing semantics.
*
* @param {string} norm - specifies the value to be returned
* @param {NonNegativeInteger} N - order of the matrix `A`
* @param {Float64Array} A - input matrix
* @param {integer} strideA1 - stride of the first dimension of `A`
* @param {integer} strideA2 - stride of the second dimension of `A`
* @param {NonNegativeInteger} offsetA - starting index for `A`
* @param {Float64Array} work - workspace array (only referenced when computing the infinity norm)
* @param {integer} strideWork - stride length for `work`
* @param {NonNegativeInteger} offsetWork - starting index for `work`
* @throws {TypeError} first argument must be a valid norm
* @returns {number} norm value
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* 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( 'max', 3, A, 3, 1, 0, work, 1, 0 );
* // returns 8.0
*/
function dlanhs( norm, N, A, strideA1, strideA2, offsetA, work, strideWork, offsetWork ) {
if ( !isNorm( norm ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid norm. Value: `%s`.', norm ) );
}
return base( norm, N, A, strideA1, strideA2, offsetA, work, strideWork, offsetWork );
}
// EXPORTS //
module.exports = dlanhs;
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