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Merge branch 'develop' of https://github.com/stdlib-js/stdlib into develop
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‎lib/node_modules/@stdlib/stats/lowess/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) 2018 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 Float64Array = require( '@stdlib/array/float64' );
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var randu = require( '@stdlib/random/base/randu' );
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var isObject = require( '@stdlib/assert/is-object' );
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var pkg = require( './../package.json' ).name;
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var lowess = require( './../lib' );
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// MAIN //
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bench( pkg, function benchmark( b ) {
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var result;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = i;
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y[ i ] = ( 0.5*i ) + ( 10.0*randu() );
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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[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( randu()*100.0 ) - 50.0;
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result = lowess( x, y );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::sorted', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = i;
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y[ i ] = ( 0.5*i ) + ( 10.0*randu() );
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}
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opts = {
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'sorted': true
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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[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( randu()*100.0 ) - 50.0;
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::f=0.5', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = i;
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y[ i ] = ( 0.5*i ) + ( 10.0*randu() );
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}
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opts = {
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'f': 0.5
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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[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( randu()*100.0 ) - 50.0;
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::delta=3', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = ( randu()*100.0 ) - 50.0;
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y[ i ] = ( 0.2*x[ i ] ) + ( 10.0*randu() );
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}
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opts = {
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'delta': 3.0
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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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x[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( 0.2*x[ 99 ] ) + ( 10.0*randu() );
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::delta=0', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = ( randu()*100.0 ) - 50.0;
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y[ i ] = ( 0.2*x[ i ] ) + ( 10.0*randu() );
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}
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opts = {
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'delta': 0.0
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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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x[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( 0.2*x[ 99 ] ) + ( 10.0*randu() );
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::nsteps=1', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = ( randu()*100.0 ) - 50.0;
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y[ i ] = ( 0.2*x[ i ] ) + ( 10.0*randu() );
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}
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opts = {
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'nsteps': 1
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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[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( 0.2*x[ 99 ] ) + ( 10.0*randu() );
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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+'::nsteps=2', function benchmark( b ) {
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var result;
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var opts;
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var x;
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var y;
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var i;
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x = new Float64Array( 100 );
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y = new Float64Array( x.length );
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for ( i = 0; i < x.length; i++ ) {
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x[ i ] = ( randu()*100.0 ) - 50.0;
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y[ i ] = ( 0.2*x[ i ] ) + ( 10.0*randu() );
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}
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opts = {
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'nsteps': 2
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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[ 0 ] = ( randu()*100.0 ) - 50.0;
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y[ 99 ] = ( 0.2*x[ 99 ] ) + ( 10.0*randu() );
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result = lowess( x, y, opts );
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if ( typeof result !== '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 ( !isObject( result ) ) {
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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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