diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/cdf/benchmark/benchmark.js index af3968a88eb8..449da14b1050 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/cdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/cdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,17 +33,25 @@ var cdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 100; - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = cdf( x, mu, sigma ); + y = cdf( x[ i % len ], mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mycdf; var sigma; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; sigma = 4.0; mycdf = cdf.factory( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 50.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = randu() * 50.0; - y = mycdf( x ); + y = mycdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/ctor/benchmark/benchmark.js index d1c71f57213b..bad9816541d5 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/ctor/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/ctor/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -33,14 +34,21 @@ var LogNormal = require( './../lib' ); bench( pkg+'::instantiation', function benchmark( b ) { var sigma; var dist; + var len; var mu; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( EPS, 10.0 ); + sigma[ i ] = uniform( EPS, 10.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu() * 10.0 ) + EPS; - sigma = ( randu() * 10.0 ) + EPS; - dist = new LogNormal( mu, sigma ); + dist = new LogNormal( mu[ i % len ], sigma[ i % len ] ); if ( !( dist instanceof LogNormal ) ) { b.fail( 'should return a distribution instance' ); } @@ -82,6 +90,7 @@ bench( pkg+'::get:mu', function benchmark( b ) { bench( pkg+'::set:mu', function benchmark( b ) { var sigma; var dist; + var len; var mu; var y; var i; @@ -89,12 +98,16 @@ bench( pkg+'::set:mu', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + y = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + y[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = ( 100.0*randu() ) + EPS; - dist.mu = y; - if ( dist.mu !== y ) { + dist.mu = y[ i % len ]; + if ( dist.mu !== y[ i % len ] ) { b.fail( 'should return set value' ); } } @@ -135,6 +148,7 @@ bench( pkg+'::get:sigma', function benchmark( b ) { bench( pkg+'::set:sigma', function benchmark( b ) { var sigma; var dist; + var len; var mu; var y; var i; @@ -142,12 +156,16 @@ bench( pkg+'::set:sigma', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + y = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + y[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = ( 100.0*randu() ) + EPS; - dist.sigma = y; - if ( dist.sigma !== y ) { + dist.sigma = y[ i % len ]; + if ( dist.sigma !== y[ i % len ] ) { b.fail( 'should return set value' ); } } @@ -162,17 +180,24 @@ bench( pkg+'::set:sigma', function benchmark( b ) { bench( pkg+':entropy', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.entropy; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -189,17 +214,24 @@ bench( pkg+':entropy', function benchmark( b ) { bench( pkg+':kurtosis', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.kurtosis; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -216,17 +248,24 @@ bench( pkg+':kurtosis', function benchmark( b ) { bench( pkg+':mean', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.mean; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -243,17 +282,24 @@ bench( pkg+':mean', function benchmark( b ) { bench( pkg+':median', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.median; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -270,17 +316,24 @@ bench( pkg+':median', function benchmark( b ) { bench( pkg+':mode', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 1.0 + EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + 1.0 + EPS; + dist.mu = x[ i % len ]; y = dist.mode; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -297,17 +350,24 @@ bench( pkg+':mode', function benchmark( b ) { bench( pkg+':skewness', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.skewness; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -324,17 +384,24 @@ bench( pkg+':skewness', function benchmark( b ) { bench( pkg+':stdev', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.stdev; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -351,17 +418,24 @@ bench( pkg+':stdev', function benchmark( b ) { bench( pkg+':variance', function benchmark( b ) { var sigma; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.variance; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -378,6 +452,7 @@ bench( pkg+':variance', function benchmark( b ) { bench( pkg+':cdf', function benchmark( b ) { var sigma; var dist; + var len; var mu; var x; var y; @@ -386,11 +461,15 @@ bench( pkg+':cdf', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.cdf( x ); + y = dist.cdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -406,6 +485,7 @@ bench( pkg+':cdf', function benchmark( b ) { bench( pkg+':logpdf', function benchmark( b ) { var sigma; var dist; + var len; var mu; var x; var y; @@ -414,11 +494,15 @@ bench( pkg+':logpdf', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.logpdf( x ); + y = dist.logpdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -434,6 +518,7 @@ bench( pkg+':logpdf', function benchmark( b ) { bench( pkg+':pdf', function benchmark( b ) { var sigma; var dist; + var len; var mu; var x; var y; @@ -442,11 +527,15 @@ bench( pkg+':pdf', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.pdf( x ); + y = dist.pdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -462,6 +551,7 @@ bench( pkg+':pdf', function benchmark( b ) { bench( pkg+':quantile', function benchmark( b ) { var sigma; var dist; + var len; var mu; var x; var y; @@ -470,11 +560,15 @@ bench( pkg+':quantile', function benchmark( b ) { mu = 2.0; sigma = 3.0; dist = new LogNormal( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 1.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = randu(); - y = dist.quantile( x ); + y = dist.quantile( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/entropy/benchmark/benchmark.js index 6cb50c34f1e6..75616204fba9 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/entropy/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/entropy/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var entropy = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = entropy( mu, sigma ); + y = entropy( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/kurtosis/benchmark/benchmark.js index b3526149e651..1b436ab192aa 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/kurtosis/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/kurtosis/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var kurtosis = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = kurtosis( mu, sigma ); + y = kurtosis( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/benchmark/benchmark.js index 56ab2fc449c7..6a1c456eb706 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logcdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,17 +33,25 @@ var logcdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*200.0 ) - 100; - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = logcdf( x, mu, sigma ); + y = logcdf( x[ i % len ], mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mylogcdf; var sigma; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; sigma = 1.5; mylogcdf = logcdf.factory( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = mylogcdf( x ); + y = mylogcdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logpdf/benchmark/benchmark.js index 4a3713d490ef..8501c7a2d345 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/logpdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/logpdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,17 +33,25 @@ var logpdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 100; - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = logpdf( x, mu, sigma ); + y = logpdf( x[ i % len ], mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mylogpdf; var sigma; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; sigma = 4.0; mylogpdf = logpdf.factory( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 50.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = randu() * 50.0; - y = mylogpdf( x ); + y = mylogpdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mean/benchmark/benchmark.js index ba35a34723d0..b8eb73f356df 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mean/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mean/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var mean = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = mean( mu, sigma ); + y = mean( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/median/benchmark/benchmark.js index 55185ccb1fdf..293ecb2a2b06 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/median/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/median/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var median = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = median( mu, sigma ); + y = median( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/benchmark/benchmark.js index efbace495dac..beac575f834d 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/mode/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var mode = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = mode( mu, sigma ); + y = mode( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/benchmark/benchmark.js index 987b828bc85e..f05256b58a27 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/pdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,17 +33,25 @@ var pdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 100; - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = pdf( x, mu, sigma ); + y = pdf( x[ i % len ], mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mypdf; var sigma; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; sigma = 4.0; mypdf = pdf.factory( mu, sigma ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 50.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = randu() * 50.0; - y = mypdf( x ); + y = mypdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/quantile/benchmark/benchmark.js index 713118b9e9b9..904f2aa506a0 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/quantile/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/quantile/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,17 +33,25 @@ var quantile = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var p; var y; var i; + len = 100; + p = new Float64Array( len ); + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + p[ i ] = uniform( 0.0, 1.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - p = randu(); - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = quantile( p, mu, sigma ); + y = quantile( p[ i % len ], mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var myquantile; var sigma; + var len; var mu; var p; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; sigma = 4.0; myquantile = quantile.factory( mu, sigma ); + len = 100; + p = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + p[ i ] = uniform( 0.0, 1.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - p = randu(); - y = myquantile( p ); + y = myquantile( p[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/benchmark.js index c836ff5e0ee9..7d6bd6284ce3 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var skewness = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = skewness( mu, sigma ); + y = skewness( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/stdev/benchmark/benchmark.js index 94a323a94e12..315b24c5b851 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/stdev/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/stdev/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); +var Float64Array = require( '@stdlib/array/float64' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -32,15 +33,22 @@ var stdev = require( './../lib' ); bench( pkg, function benchmark( b ) { var sigma; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + sigma = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - sigma = ( randu()*20.0 ) + EPS; - y = stdev( mu, sigma ); + y = stdev( mu[ i % len ], sigma[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.js index 56656c756a87..bcf71db48980 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.js @@ -22,7 +22,7 @@ var bench = require( '@stdlib/bench' ); var Float64Array = require( '@stdlib/array/float64' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); sigma = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - sigma[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.native.js index 8b8da55c5b4a..3304d4d222d0 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/lognormal/variance/benchmark/benchmark.native.js @@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) { mu = new Float64Array( len ); sigma = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - sigma[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + sigma[ i ] = uniform( EPS, 20.0 ); } b.tic();