diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/cdf/benchmark/benchmark.js index b3dec8a979fd..3669fe652a5c 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/cdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/cdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var cdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 100.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*200.0 ) - 100.0; - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = cdf( x, mu, beta ); + y = cdf( x[ i % len ], mu[ i % len ], beta[ 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 beta; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; mycdf = cdf.factory( mu, beta ); + 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/gumbel/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/ctor/benchmark/benchmark.js index c05cae27255d..e926bc54e36f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/ctor/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/ctor/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -33,14 +34,21 @@ var Gumbel = require( './../lib' ); bench( pkg+'::instantiation', function benchmark( b ) { var beta; var dist; + var len; var mu; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( EPS, 10.0 ); + beta[ i ] = uniform( EPS, 10.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu() * 10.0 ) + EPS; - beta = ( randu() * 10.0 ) + EPS; - dist = new Gumbel( mu, beta ); + dist = new Gumbel( mu[ i % len ], beta[ i % len ] ); if ( !( dist instanceof Gumbel ) ) { 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 beta; var dist; + var len; var mu; var y; var i; @@ -89,12 +98,16 @@ bench( pkg+'::set:mu', function benchmark( b ) { mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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:beta', function benchmark( b ) { bench( pkg+'::set:beta', function benchmark( b ) { var beta; var dist; + var len; var mu; var y; var i; @@ -142,12 +156,16 @@ bench( pkg+'::set:beta', function benchmark( b ) { mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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.beta = y; - if ( dist.beta !== y ) { + dist.beta = y[ i % len ]; + if ( dist.beta !== y[ i % len ] ) { b.fail( 'should return set value' ); } } @@ -162,17 +180,24 @@ bench( pkg+'::set:beta', function benchmark( b ) { bench( pkg+':entropy', function benchmark( b ) { var beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; + var x; var y; var i; mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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 beta; var dist; + var len; var mu; var x; var y; @@ -386,11 +461,15 @@ bench( pkg+':cdf', function benchmark( b ) { mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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+':logcdf', function benchmark( b ) { var beta; var dist; + var len; var mu; var x; var y; @@ -414,11 +494,15 @@ bench( pkg+':logcdf', function benchmark( b ) { mu = 1.0; beta = 2.0; dist = new Gumbel( mu, beta ); + 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.logcdf( x ); + y = dist.logcdf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -434,6 +518,7 @@ bench( pkg+':logcdf', function benchmark( b ) { bench( pkg+':logpdf', function benchmark( b ) { var beta; var dist; + var len; var mu; var x; var y; @@ -442,11 +527,15 @@ bench( pkg+':logpdf', function benchmark( b ) { mu = 1.0; beta = 2.0; dist = new Gumbel( mu, beta ); + 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' ); } @@ -462,6 +551,7 @@ bench( pkg+':logpdf', function benchmark( b ) { bench( pkg+':mgf', function benchmark( b ) { var beta; var dist; + var len; var mu; var x; var y; @@ -470,11 +560,15 @@ bench( pkg+':mgf', function benchmark( b ) { mu = 2.0; beta = 0.2; dist = new Gumbel( mu, beta ); + 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.mgf( x ); + y = dist.mgf( x[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -490,6 +584,7 @@ bench( pkg+':mgf', function benchmark( b ) { bench( pkg+':pdf', function benchmark( b ) { var beta; var dist; + var len; var mu; var x; var y; @@ -498,11 +593,15 @@ bench( pkg+':pdf', function benchmark( b ) { mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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' ); } @@ -518,6 +617,7 @@ bench( pkg+':pdf', function benchmark( b ) { bench( pkg+':quantile', function benchmark( b ) { var beta; var dist; + var len; var mu; var x; var y; @@ -526,11 +626,15 @@ bench( pkg+':quantile', function benchmark( b ) { mu = 2.0; beta = 3.0; dist = new Gumbel( mu, beta ); + 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/gumbel/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/entropy/benchmark/benchmark.js index 242bc103da7f..bc4f5cb2c360 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/entropy/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/entropy/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,15 +33,22 @@ var entropy = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = entropy( mu, beta ); + y = entropy( mu[ i % len ], beta[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.js index 25027a028622..e75a5e196117 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.js @@ -21,8 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); var Float64Array = require( '@stdlib/array/float64' ); +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 ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - beta[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.native.js index f6c51d58521e..37c8320033d4 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/benchmark/benchmark.native.js @@ -23,7 +23,7 @@ var resolve = require( 'path' ).resolve; 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 EPS = require( '@stdlib/constants/float64/eps' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) { mu = new Float64Array( len ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - beta[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logcdf/benchmark/benchmark.js index cfb21caa3c63..7528b5f136ee 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/logcdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logcdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var logcdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ 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; - beta = ( randu()*20.0 ) + EPS; - y = logcdf( x, mu, beta ); + y = logcdf( x[ i % len ], mu[ i % len ], beta[ 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 beta; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; mylogcdf = logcdf.factory( mu, beta ); + 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 = 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/gumbel/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/benchmark/benchmark.js index df720608a5fd..b10172bbfaec 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var logpdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ 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; - beta = ( randu()*20.0 ) + EPS; - y = logpdf( x, mu, beta ); + y = logpdf( x[ i % len ], mu[ i % len ], beta[ 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 beta; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; mylogpdf = logpdf.factory( mu, beta ); + 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/gumbel/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mean/benchmark/benchmark.js index 6e105400bc0c..c38be63ffdaa 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mean/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mean/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,15 +33,22 @@ var mean = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = mean( mu, beta ); + y = mean( mu[ i % len ], beta[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/benchmark/benchmark.js index 97a78fe75488..c5107675dde8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,15 +33,22 @@ var median = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = median( mu, beta ); + y = median( mu[ i % len ], beta[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/benchmark/benchmark.js index 366ddc627c71..b044aaa0f173 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mgf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var mgf = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var t; var y; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + t = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + t[ i ] = uniform( 0.0, 1.0/beta[ i ] ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - t = randu() * (1.0/beta); - y = mgf( t, mu, beta ); + y = mgf( t[ i % len ], mu[ i % len ], beta[ 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 mymgf; var beta; + var len; var mu; var t; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; mymgf = mgf.factory( mu, beta ); + len = 100; + t = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + t[ i ] = uniform( 0.0, 1.0/beta ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - t = randu() * (1.0/beta); - y = mymgf( t ); + y = mymgf( t[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.js index 766f13bd4492..52bcf45f5a98 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.js @@ -21,7 +21,7 @@ // 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' ); @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - beta[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.native.js index 2bb9808bbe46..512f15ef1424 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/mode/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 EPS = require( '@stdlib/constants/float64/eps' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/base/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; @@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) { mu = new Float64Array( len ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - beta[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/pdf/benchmark/benchmark.js index a65bef907c10..5bc6a24a4b72 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/pdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/pdf/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var pdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ 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; - beta = ( randu()*20.0 ) + EPS; - y = pdf( x, mu, beta ); + y = pdf( x[ i % len ], mu[ i % len ], beta[ 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 beta; + var len; var mu; var x; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; mypdf = pdf.factory( mu, beta ); + 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/gumbel/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/benchmark/benchmark.js index d6e361cc3f32..4f2b71d9ddc2 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/quantile/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,17 +33,25 @@ var quantile = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var p; var y; var i; + len = 100; + p = new Float64Array( len ); + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + p[ i ] = uniform( 0.0, 1.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - p = randu(); - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = quantile( p, mu, beta ); + y = quantile( p[ i % len ], mu[ i % len ], beta[ 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 beta; + var len; var mu; var p; var y; @@ -66,11 +76,15 @@ bench( pkg+':factory', function benchmark( b ) { mu = 10.0; beta = 4.0; myquantile = quantile.factory( mu, beta ); + 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/gumbel/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/skewness/benchmark/benchmark.js index cdb39b1c6477..377950fd2176 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/skewness/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/skewness/benchmark/benchmark.js @@ -21,7 +21,8 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var Float64Array = require( '@stdlib/array/float64' ); +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; @@ -32,15 +33,22 @@ var skewness = require( './../lib' ); bench( pkg, function benchmark( b ) { var beta; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + beta = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - beta = ( randu()*20.0 ) + EPS; - y = skewness( mu, beta ); + y = skewness( mu[ i % len ], beta[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.js index 1fa1f6b2d773..e26bf26122e4 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.js @@ -21,7 +21,7 @@ // 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' ); @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - beta[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.native.js index 6d2be076d3bd..8984f6de2e54 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/stdev/benchmark/benchmark.native.js @@ -23,7 +23,7 @@ var resolve = require( 'path' ).resolve; 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 EPS = require( '@stdlib/constants/float64/eps' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) { mu = new Float64Array( len ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - beta[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.js index e3116060c143..77fc444211dd 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/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 ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - beta[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.native.js index 6fcb371bfda7..bed003a6da14 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/variance/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/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 ); beta = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - beta[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + beta[ i ] = uniform( EPS, 20.0 ); } b.tic();