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bench: add benchmarks
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‎lib/node_modules/@stdlib/blas/base/zhemv/benchmark/benchmark.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var bench = require( '@stdlib/bench' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var Complex128Array = require( '@stdlib/array/complex128' );
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var Complex128 = require( '@stdlib/complex/float64/ctor' );
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var format = require( '@stdlib/string/format' );
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var pkg = require( './../package.json' ).name;
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var zhemv = require( './../lib/zhemv.js' );
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// VARIABLES //
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var options = {
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'dtype': 'float64'
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};
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// FUNCTIONS //
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/**
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* Creates a benchmark function.
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*
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* @private
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* @param {PositiveInteger} N - array dimension size
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* @returns {Function} benchmark function
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*/
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function createBenchmark( N ) {
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var alpha;
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var beta;
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var xbuf;
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var ybuf;
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var Abuf;
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var x;
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var y;
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var A;
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xbuf = uniform( N*2, -100.0, 100.0, options );
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x = new Complex128Array( xbuf.buffer );
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ybuf = uniform( N*2, -100.0, 100.0, options );
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y = new Complex128Array( ybuf.buffer );
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Abuf = uniform( (N*N)*2, -100.0, 100.0, options );
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A = new Complex128Array( Abuf.buffer );
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alpha = new Complex128( 0.5, 0.5 );
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beta = new Complex128( 0.5, -0.5 );
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return benchmark;
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/**
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* Benchmark function.
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*
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* @private
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* @param {Benchmark} b - benchmark instance
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*/
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function benchmark( b ) {
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var i;
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var z;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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z = zhemv( 'row-major', 'lower', N, alpha, A, N, x, 1, beta, y, 1 );
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if ( isnanf( z[ i%z.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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if ( isnanf( z[ i%z.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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}
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}
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// MAIN //
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/**
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* Main execution sequence.
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*
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* @private
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*/
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function main() {
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var min;
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var max;
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var N;
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var f;
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var i;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( i = min; i <= max; i++ ) {
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N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
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f = createBenchmark( N );
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bench( format( '%s:size=%d', pkg, N*N ), f );
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}
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}
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main();

‎lib/node_modules/@stdlib/blas/base/zhemv/benchmark/benchmark.ndarray.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var bench = require( '@stdlib/bench' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var floor = require( '@stdlib/math/base/special/floor' );
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var Complex128Array = require( '@stdlib/array/complex128' );
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var Complex128 = require( '@stdlib/complex/float64/ctor' );
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var format = require( '@stdlib/string/format' );
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var pkg = require( './../package.json' ).name;
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var zhemv = require( './../lib/ndarray.js' );
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// VARIABLES //
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var options = {
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'dtype': 'float64'
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};
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// FUNCTIONS //
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/**
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* Creates a benchmark function.
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*
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* @private
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* @param {PositiveInteger} N - array dimension size
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* @returns {Function} benchmark function
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*/
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function createBenchmark( N ) {
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var alpha;
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var beta;
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var xbuf;
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var ybuf;
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var Abuf;
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var x;
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var y;
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var A;
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xbuf = uniform( N*2, -100.0, 100.0, options );
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x = new Complex128Array( xbuf.buffer );
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ybuf = uniform( N*2, -100.0, 100.0, options );
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y = new Complex128Array( ybuf.buffer );
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Abuf = uniform( (N*N)*2, -100.0, 100.0, options );
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A = new Complex128Array( Abuf.buffer );
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alpha = new Complex128( 0.5, 0.5 );
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beta = new Complex128( 0.5, -0.5 );
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return benchmark;
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/**
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* Benchmark function.
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*
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* @private
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* @param {Benchmark} b - benchmark instance
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*/
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function benchmark( b ) {
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var i;
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var z;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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z = zhemv( 'lower', N, alpha, A, 1, N, 0, x, 1, 0, beta, y, 1, 0 );
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if ( isnanf( z[ i%z.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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if ( isnanf( z[ i%z.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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}
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}
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// MAIN //
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/**
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* Main execution sequence.
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*
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* @private
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*/
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function main() {
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var min;
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var max;
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var N;
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var f;
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var i;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( i = min; i <= max; i++ ) {
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N = floor( pow( pow( 10, i ), 1.0/2.0 ) );
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f = createBenchmark( N );
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bench( format( '%s:ndarray:size=%d', pkg, N*N ), f );
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}
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}
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main();

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