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bench: add benchmarks
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‎docs/migration-guides/mathjs/benchmark/benchmark.matrix.creation.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 resolve = require( 'path' ).resolve;
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var bench = require( '@stdlib/bench' );
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var ndarray = require( '@stdlib/ndarray/ctor' );
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var array = require( '@stdlib/ndarray/array' );
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var uniform = require( '@stdlib/random/array/uniform' );
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var tryRequire = require( '@stdlib/utils/try-require' );
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var pkg = require( './../package.json' ).name;
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// VARIABLES //
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var mathjs = tryRequire( resolve( __dirname, '..', 'node_modules', 'mathjs' ) );
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var opts = {
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'skip': ( mathjs instanceof Error )
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};
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// MAIN //
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bench( pkg+'::stdlib:ndarray/ctor:dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var buf;
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var x;
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var i;
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buf = uniform( 100*100, -10.0, 10.0, {
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'dtype': 'generic'
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});
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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x = new ndarray( 'generic', buf, [ 100, 100 ], [ 100, 1 ], 0, 'row-major' );
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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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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bench( pkg+'::stdlib:ndarray/array:dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var buf;
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var x;
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var i;
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buf = uniform( 100*100, -10.0, 10.0, {
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'dtype': 'generic'
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});
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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x = array( buf, {
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'shape': [ 100, 100 ],
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'dtype': 'generic',
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'flatten': false
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});
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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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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bench( pkg+'::mathjs:matrix:dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var buf;
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var x;
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var i;
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buf = mathjs.random( [ 100, 100 ] );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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x = mathjs.matrix( buf, 'dense', 'number' );
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( typeof x !== 'object' ) {
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b.fail( 'should return an object' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});

‎docs/migration-guides/mathjs/benchmark/benchmark.sqrt.matrix.2d.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2023 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 resolve = require( 'path' ).resolve;
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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 filled2dBy = require( '@stdlib/array/base/filled2d-by' );
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var filledndBy = require( '@stdlib/array/base/fillednd-by' );
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var unary2d = require( '@stdlib/array/base/unary2d' );
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var unarynd = require( '@stdlib/array/base/unarynd' );
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var zeros2d = require( '@stdlib/array/base/zeros2d' );
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var zerosnd = require( '@stdlib/array/base/zerosnd' );
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var ndmap = require( '@stdlib/ndarray/map' );
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var ndzeros = require( '@stdlib/ndarray/zeros' );
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var ndunary = require( '@stdlib/ndarray/base/unary' );
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var uniform = require( '@stdlib/random/base/uniform' ).factory;
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var randu = require( '@stdlib/random/uniform' );
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var base = require( '@stdlib/math/base/special/sqrt' );
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var tryRequire = require( '@stdlib/utils/try-require' );
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var pkg = require( './../package.json' ).name;
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// VARIABLES //
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var mathjs = tryRequire( resolve( __dirname, '..', 'node_modules', 'mathjs' ) );
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var opts = {
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'skip': ( mathjs instanceof Error )
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};
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// MAIN //
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bench( pkg+'::stdlib:array/base/unary2d:value=nested_array,dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var sh;
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var x;
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var y;
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var i;
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sh = [ 100, 100 ];
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x = filled2dBy( sh, uniform( 0.0, 100.0 ) );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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y = zeros2d( sh );
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unary2d( [ x, y ], sh, base );
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if ( isnan( y[ 0 ][ 0 ] ) || isnan( y[ 99 ][ 99 ] ) ) {
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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( y[ 1 ][ 1 ] ) || isnan( y[ 98 ][ 98 ] ) ) {
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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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bench( pkg+'::stdlib:array/base/unarynd:value=nested_array,dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var sh;
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var x;
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var y;
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var i;
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sh = [ 100, 100 ];
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x = filledndBy( sh, uniform( 0.0, 100.0 ) );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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y = zerosnd( sh );
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unarynd( [ x, y ], sh, base );
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if ( isnan( y[ 0 ][ 0 ] ) || isnan( y[ 99 ][ 99 ] ) ) {
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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( y[ 1 ][ 1 ] ) || isnan( y[ 98 ][ 98 ] ) ) {
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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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bench( pkg+'::stdlib:ndarray/base/unary:value=ndarray,dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var opts;
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var sh;
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var x;
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var y;
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var i;
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sh = [ 100, 100 ];
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opts = {
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'dtype': 'generic'
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};
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x = randu( sh, 0.0, 100.0, opts );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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y = ndzeros( sh, opts );
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ndunary( [ x, y ], base );
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if ( isnan( y.get( 0, 0 ) ) || isnan( y.get( 99, 99 ) ) ) {
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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( y.get( 1, 1 ) ) || isnan( y.get( 98, 98) ) ) {
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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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bench( pkg+'::stdlib:ndarray/map:value=ndarray,dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var sh;
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var x;
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var y;
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var i;
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sh = [ 100, 100 ];
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x = randu( sh, 0.0, 100.0, {
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'dtype': 'generic'
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});
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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y = ndmap( x, base );
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if ( isnan( y.get( 0, 0 ) ) || isnan( y.get( 99, 99 ) ) ) {
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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( y.get( 1, 1 ) ) || isnan( y.get( 98, 98) ) ) {
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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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bench( pkg+'::mathjs:sqrt:value=matrix,dtype=generic,size=10000,shape=(100,100)', opts, function benchmark( b ) {
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var buf;
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var x;
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var y;
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var i;
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buf = mathjs.random( [ 100, 100 ], 0, 100 );
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x = mathjs.matrix( buf, 'dense', 'number' );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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y = x.map( base );
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if ( typeof y !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( isnan( y.get( [ 0, 0 ] ) ) || isnan( y.get( [ 99, 99 ] ) ) ) {
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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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