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bench: add 1d benchmarks
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‎lib/node_modules/@stdlib/ndarray/base/unary-accumulate/benchmark/benchmark.1d_columnmajor.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var add = require( '@stdlib/math/base/ops/add' );
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var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
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var pkg = require( './../package.json' ).name;
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var accumulateUnary = require( './../lib' );
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// VARIABLES //
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var types = [ 'float64' ];
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var order = 'column-major';
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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} len - ndarray length
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* @param {NonNegativeIntegerArray} shape - ndarray shape
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* @param {string} xtype - input ndarray data type
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* @returns {Function} benchmark function
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*/
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function createBenchmark( len, shape, xtype ) {
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var x = uniform( len, -100.0, 100.0, {
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'dtype': xtype
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});
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x = {
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'dtype': xtype,
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'data': x,
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'shape': shape,
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'strides': shape2strides( shape, order ),
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'offset': 0,
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'order': order
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};
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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 out;
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var i;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = accumulateUnary( x, 0.0, add );
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if ( isnan( out ) ) {
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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 ( isnan( out ) ) {
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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 len;
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var min;
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var max;
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var sh;
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var t1;
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var f;
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var i;
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var j;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( j = 0; j < types.length; j++ ) {
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t1 = types[ j ];
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for ( i = min; i <= max; i++ ) {
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len = pow( 10, i );
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sh = [ len ];
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f = createBenchmark( len, sh, t1 );
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bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
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}
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}
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}
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main();

‎lib/node_modules/@stdlib/ndarray/base/unary-accumulate/benchmark/benchmark.1d_rowmajor.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var add = require( '@stdlib/math/base/ops/add' );
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var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
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var pkg = require( './../package.json' ).name;
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var accumulateUnary = require( './../lib' );
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// VARIABLES //
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var types = [ 'float64' ];
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var order = 'row-major';
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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} len - ndarray length
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* @param {NonNegativeIntegerArray} shape - ndarray shape
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* @param {string} xtype - input ndarray data type
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* @returns {Function} benchmark function
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*/
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function createBenchmark( len, shape, xtype ) {
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var x = uniform( len, -100.0, 100.0, {
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'dtype': xtype
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});
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x = {
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'dtype': xtype,
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'data': x,
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'shape': shape,
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'strides': shape2strides( shape, order ),
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'offset': 0,
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'order': order
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};
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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 out;
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var i;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = accumulateUnary( x, 0.0, add );
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if ( isnan( out ) ) {
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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 ( isnan( out ) ) {
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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 len;
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var min;
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var max;
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var sh;
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var t1;
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var f;
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var i;
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var j;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( j = 0; j < types.length; j++ ) {
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t1 = types[ j ];
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for ( i = min; i <= max; i++ ) {
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len = pow( 10, i );
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sh = [ len ];
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f = createBenchmark( len, sh, t1 );
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bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
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}
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}
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}
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main();

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