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feat: add benchmark.native.js
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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2024 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 Float64Array = require( '@stdlib/array/float64' );
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var randu = require( '@stdlib/random/base/randu' );
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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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 pdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
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var opts = {
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'skip': ( pdf instanceof Error )
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};
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// MAIN //
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bench( pkg, opts, function benchmark( b ) {
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var len;
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var min;
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var max;
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var x;
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var y;
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var i;
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len = 100;
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x = new Float64Array( len );
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min = new Float64Array( len );
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max = new Float64Array( len );
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for ( i = 0; i < len; i++ ) {
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x[ i ] = ( randu() * 20.0 ) - 10.0;
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min[ i ] = ( randu() * 20.0 ) - 20.0;
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max[ i ] = min[ i ] + ( randu() * 40.0 );
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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 = pdf( x[ i % len ], min[ i % len ], max[ i % len ] );
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if ( isnan( y ) ) {
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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 ) ) {
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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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