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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, max-params */
'use strict';
// MODULES //
var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
var format = require( '@stdlib/string/format' );
var base = require( './base.js' );
// MAIN //
/**
* Equilibrates a real symmetric matrix `A` stored in packed format using scaling factors `S` and alternative indexing semantics.
*
* @param {string} order - storage layout
* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is stored
* @param {NonNegativeInteger} N - order of matrix `A`
* @param {Float64Array} AP - packed symmetric matrix `A`
* @param {integer} strideAP - `AP` stride length
* @param {NonNegativeInteger} offsetAP - starting index of `AP`
* @param {Float64Array} S - scale factors vector
* @param {integer} strideS - `S` stride length
* @param {NonNegativeInteger} offsetS - starting index of `S`
* @param {number} scond - ratio of smallest `S[i]` to largest `S[i]`
* @param {number} amax - absolute value of largest matrix entry
* @throws {TypeError} first argument must be a valid order
* @throws {TypeError} second argument must specify whether the lower or upper triangular matrix is supplied
* @throws {RangeError} third argument must be a nonnegative integer
* @throws {RangeError} fifth argument must be non-zero
* @throws {RangeError} eighth argument must be non-zero
* @returns {string} character flag indicating whether the matrix was equilibrated ('Y') or not ('N')
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dlaqsp = require( '@stdlib/lapack/base/dlaqsp' );
*
* var AP = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var S = new Float64Array( [ 0.05, 2.0, 4.0 ] );
*
* var out = dlaqsp.ndarray( 'column-major', 'upper', 3, AP, 1, 0, S, 1, 0, 0.0125, 6.0 );
* // returns 'Y'
*/
function ndarray( order, uplo, N, AP, strideAP, offsetAP, S, strideS, offsetS, scond, amax ) {
var isUpper;
if ( !isLayout( order ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
}
if ( !isMatrixTriangle( uplo ) ) {
throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) );
}
if ( N < 0 ) {
throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) );
}
if ( strideAP === 0 ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be non-zero. Value: `%d`.', strideAP ) );
}
if ( strideS === 0 ) {
throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideS ) );
}
isUpper = ( ( isColumnMajor( order ) && uplo === 'upper' ) || ( !isColumnMajor( order ) && uplo === 'lower' ) );
return base( isUpper, N, AP, strideAP, offsetAP, S, strideS, offsetS, scond, amax );
}
// EXPORTS //
module.exports = ndarray;
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