feat: add lapack/base/dlabrd

lib/node_modules/@stdlib/lapack/base/dlabrd/benchmark/benchmark.js

@@ -0,0 +1,137 @@
+/**
+* @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';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlabrd = require( './../lib/dlabrd.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+	'row-major',
+	'column-major'
+];
+var opts = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} M - number of rows
+* @param {PositiveInteger} N - number of columns
+* @param {PositiveInteger} NB - number of leading rows and columns to reduce
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, M, N, NB ) {
+	var TAUQ = new Float64Array( NB );
+	var TAUP = new Float64Array( NB );
+	var LDA;
+	var LDX;
+	var LDY;
+	var A = discreteUniform( M * N, 1.0, 10.0, opts );
+	var X = new Float64Array( M * NB );
+	var Y = new Float64Array( N * NB );
+	var D = new Float64Array( NB );
+	var E = new Float64Array( NB );
+
+	if ( order === 'row-major' ) {
+		LDA = N;
+		LDX = NB;
+		LDY = NB;
+	} else {
+		LDA = M;
+		LDX = M;
+		LDY = N;
+	}
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			dlabrd( order, M, N, NB, A, LDA, D, E, TAUQ, TAUP, X, LDX, Y, LDY );
+			if ( isnan( A[ i%M ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( A[ i%M ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var minVal;
+	var maxVal;
+	var ord;
+	var NB;
+	var N;
+	var f;
+	var i;
+	var j;
+
+	minVal = 1; // 10^minVal
+	maxVal = 6; // 10^maxVal
+
+	for ( j = 0; j < LAYOUTS.length; j++ ) {
+		ord = LAYOUTS[ j ];
+		for ( i = minVal; i <= maxVal; i++ ) {
+			N = floor( pow( pow( 10, i ), 1.0/3.0 ) );
+			NB = N;
+			f = createBenchmark( ord, N, N, NB );
+			bench( format( '%s:order=%s,size=%d', pkg, ord, N*N ), f );
+		}
+	}
+}
+
+main();

lib/node_modules/@stdlib/lapack/base/dlabrd/benchmark/benchmark.ndarray.js

@@ -0,0 +1,154 @@
+/**
+* @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';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var Float64Array = require( '@stdlib/array/float64' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlabrd = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var LAYOUTS = [
+	'row-major',
+	'column-major'
+];
+var opts = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {string} order - storage layout
+* @param {PositiveInteger} M - number of rows
+* @param {PositiveInteger} N - number of columns
+* @param {PositiveInteger} NB - number of leading rows and columns to reduce
+* @returns {Function} benchmark function
+*/
+function createBenchmark( order, M, N, NB ) {
+	var TAUQ;
+	var TAUP;
+	var sA1;
+	var sA2;
+	var sX1;
+	var sX2;
+	var sY1;
+	var sY2;
+	var A;
+	var D;
+	var E;
+	var X;
+	var Y;
+
+	A = discreteUniform( M * N, 1.0, 10.0, opts );
+	D = new Float64Array( NB );
+	E = new Float64Array( NB );
+	TAUQ = new Float64Array( NB );
+	TAUP = new Float64Array( NB );
+	X = new Float64Array( M * NB );
+	Y = new Float64Array( N * NB );
+	if ( isColumnMajor( order ) ) {
+		sA1 = 1;
+		sA2 = M;
+		sX1 = 1;
+		sX2 = M;
+		sY1 = 1;
+		sY2 = N;
+	} else { // order === 'row-major'
+		sA1 = N;
+		sA2 = 1;
+		sX1 = NB;
+		sX2 = 1;
+		sY1 = NB;
+		sY2 = 1;
+	}
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			dlabrd( M, N, NB, A, sA1, sA2, 0, D, 1, 0, E, 1, 0, TAUQ, 1, 0, TAUP, 1, 0, X, sX1, sX2, 0, Y, sY1, sY2, 0 ); // eslint-disable-line max-len
+			if ( isnan( A[ i%M ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( A[ i%M ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var minVal;
+	var maxVal;
+	var ord;
+	var NB;
+	var N;
+	var f;
+	var i;
+	var j;
+
+	minVal = 1; // 10^minVal
+	maxVal = 6; // 10^maxVal
+
+	for ( j = 0; j < LAYOUTS.length; j++ ) {
+		ord = LAYOUTS[ j ];
+		for ( i = minVal; i <= maxVal; i++ ) {
+			N = floor( pow( pow( 10, i ), 1.0/3.0 ) );
+			NB = N;
+			f = createBenchmark( ord, N, N, NB );
+			bench( format( '%s:ndarray:order=%s,size=%d', pkg, ord, N*N ), f );
+		}
+	}
+}
+
+main();