diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.js index a6f8f315bd34..b1de26c56a40 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,19 +33,28 @@ var cdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -50.0, 50.0 ); + alpha[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 40.0 ); + s[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 50.0; - alpha = ( randu()*20.0 ) + EPS; - m = ( randu()*60.0 ) - 20.0; - s = ( randu()*20.0 ) + EPS; - y = cdf( x, alpha, s, m ); + y = cdf( x[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mycdf; var alpha; + var len; var m; var s; var x; @@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) { s = 3.0; m = 4.0; mycdf = cdf.factory( alpha, s, m ); + 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/frechet/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/ctor/benchmark/benchmark.js index 0f6780c1b5be..3abdb6b9a89a 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/ctor/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -33,16 +34,24 @@ var Frechet = require( './../lib' ); bench( pkg+'::instantiation', function benchmark( bm ) { var alpha; var dist; + var len; var s; var m; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 10.0 ); + s[ i ] = uniform( EPS, 10.0 ); + m[ i ] = uniform( -20.0, -10.0 ); + } + bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - alpha = ( randu() * 10.0 ) + EPS; - s = ( randu() * 10.0 ) + EPS; - m = ( randu() * 10.0 ) - 20.0; - dist = new Frechet( alpha, s, m ); + dist = new Frechet( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( !( dist instanceof Frechet ) ) { bm.fail( 'should return a distribution instance' ); } @@ -86,6 +95,7 @@ bench( pkg+'::get:alpha', function benchmark( bm ) { bench( pkg+'::set:alpha', function benchmark( bm ) { var alpha; var dist; + var len; var s; var m; var y; @@ -95,12 +105,16 @@ bench( pkg+'::set:alpha', function benchmark( bm ) { s = 10.0; m = -3.0; dist = new Frechet( alpha, s, m ); + len = 100; + y = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + y[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - y = ( 100.0*randu() ) + EPS; - dist.a = y; - if ( dist.a !== y ) { + dist.a = y[ i % len ]; + if ( dist.a !== y[ i % len ] ) { bm.fail( 'should return set value' ); } } @@ -143,6 +157,7 @@ bench( pkg+'::get:s', function benchmark( bm ) { bench( pkg+'::set:s', function benchmark( bm ) { var alpha; var dist; + var len; var s; var m; var y; @@ -152,12 +167,16 @@ bench( pkg+'::set:s', function benchmark( bm ) { s = 20.0; m = 30.0; dist = new Frechet( alpha, s, m ); + len = 100; + y = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + y[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - y = ( 100.0*randu() ) + EPS; - dist.b = y; - if ( dist.b !== y ) { + dist.b = y[ i % len ]; + if ( dist.b !== y[ i % len ] ) { bm.fail( 'should return set value' ); } } @@ -200,6 +219,7 @@ bench( pkg+'::get:m', function benchmark( bm ) { bench( pkg+'::set:m', function benchmark( bm ) { var alpha; var dist; + var len; var s; var m; var y; @@ -209,12 +229,16 @@ bench( pkg+'::set:m', function benchmark( bm ) { s = 10.0; m = 5.0; dist = new Frechet( alpha, s, m ); + len = 100; + y = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + y[ i ] = uniform( 0.0, 20.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - y = randu() * 20.0; - dist.c = y; - if ( dist.c !== y ) { + dist.c = y[ i % len ]; + if ( dist.c !== y[ i % len ] ) { bm.fail( 'should return set value' ); } } @@ -228,6 +252,8 @@ bench( pkg+'::set:m', function benchmark( bm ) { bench( pkg+':entropy', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -238,10 +264,15 @@ bench( pkg+':entropy', function benchmark( bm ) { b = 10.0; c = 100.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.entropy; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -257,6 +288,8 @@ bench( pkg+':entropy', function benchmark( bm ) { bench( pkg+':kurtosis', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -267,10 +300,15 @@ bench( pkg+':kurtosis', function benchmark( bm ) { b = 10.0; c = 120.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.kurtosis; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -286,6 +324,8 @@ bench( pkg+':kurtosis', function benchmark( bm ) { bench( pkg+':mean', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -296,10 +336,15 @@ bench( pkg+':mean', function benchmark( bm ) { b = 10.0; c = 110.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.mean; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -315,6 +360,8 @@ bench( pkg+':mean', function benchmark( bm ) { bench( pkg+':median', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -325,10 +372,15 @@ bench( pkg+':median', function benchmark( bm ) { b = 10.0; c = 110.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.median; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -344,6 +396,8 @@ bench( pkg+':median', function benchmark( bm ) { bench( pkg+':skewness', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -354,10 +408,15 @@ bench( pkg+':skewness', function benchmark( bm ) { b = 10.0; c = 110.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.skewness; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -373,6 +432,8 @@ bench( pkg+':skewness', function benchmark( bm ) { bench( pkg+':stdev', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -383,10 +444,15 @@ bench( pkg+':stdev', function benchmark( bm ) { b = 10.0; c = 80.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.stdev; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -402,6 +468,8 @@ bench( pkg+':stdev', function benchmark( bm ) { bench( pkg+':variance', function benchmark( bm ) { var dist; + var len; + var x; var a; var b; var c; @@ -412,10 +480,15 @@ bench( pkg+':variance', function benchmark( bm ) { b = 10.0; c = 80.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, c ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.a = randu() * c; + dist.a = x[ i % len ]; y = dist.variance; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -431,6 +504,7 @@ bench( pkg+':variance', function benchmark( bm ) { bench( pkg+':cdf', function benchmark( bm ) { var dist; + var len; var a; var b; var c; @@ -442,11 +516,15 @@ bench( pkg+':cdf', function benchmark( bm ) { b = 40.0; c = 30.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 60.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = randu() * 60.0; - y = dist.cdf( x ); + y = dist.cdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -461,6 +539,7 @@ bench( pkg+':cdf', function benchmark( bm ) { bench( pkg+':pdf', function benchmark( bm ) { var dist; + var len; var a; var b; var c; @@ -472,11 +551,15 @@ bench( pkg+':pdf', function benchmark( bm ) { b = 40.0; c = 30.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 60.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = randu() * 60.0; - y = dist.pdf( x ); + y = dist.pdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -491,6 +574,7 @@ bench( pkg+':pdf', function benchmark( bm ) { bench( pkg+':quantile', function benchmark( bm ) { var dist; + var len; var a; var b; var c; @@ -502,11 +586,15 @@ bench( pkg+':quantile', function benchmark( bm ) { b = 40.0; c = 30.0; dist = new Frechet( a, b, c ); + len = 100; + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 0.0, 1.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = randu(); - y = dist.quantile( x ); + y = dist.quantile( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/entropy/benchmark/benchmark.js index 5b0223f8d128..2075f53aa793 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/entropy/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,17 +33,25 @@ var entropy = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var y; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - alpha = ( randu()*20.0 ) + EPS; - s = ( randu()*20.0 ) + EPS; - m = ( randu()*40.0 ) - 20.0; - y = entropy( alpha, s, m ); + y = entropy( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/benchmark/benchmark.js index 3d601e03192d..42a3611c7a72 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/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 kurtosis = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var y; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - alpha = ( randu()*20.0 ) + EPS; - s = ( randu()*20.0 ) + EPS; - m = ( randu()*40.0 ) - 20.0; - y = kurtosis( alpha, s, m ); + y = kurtosis( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/logcdf/benchmark/benchmark.js index 14ad093f295d..14eccd1015b5 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/logcdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,19 +33,28 @@ var logcdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -50.0, 50.0 ); + alpha[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 40.0 ); + s[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 50.0; - alpha = ( randu()*20.0 ) + EPS; - m = ( randu()*60.0 ) - 20.0; - s = ( randu()*20.0 ) + EPS; - y = logcdf( x, alpha, s, m ); + y = logcdf( x[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mylogcdf; var alpha; + var len; var m; var s; var x; @@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) { s = 3.0; m = 4.0; mylogcdf = logcdf.factory( alpha, s, m ); + 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/frechet/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/logpdf/benchmark/benchmark.js index 67a3b5818976..ffc0c02316ab 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/logpdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,19 +33,28 @@ var logpdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -50.0, 50.0 ); + alpha[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 40.0 ); + s[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 50.0; - alpha = ( randu()*20.0 ) + EPS; - m = ( randu()*60.0 ) - 20.0; - s = ( randu()*20.0 ) + EPS; - y = logpdf( x, alpha, s, m ); + y = logpdf( x[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mylogpdf; var alpha; + var len; var m; var s; var x; @@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) { s = 3.0; m = 4.0; mylogpdf = logpdf.factory( alpha, s, m ); + 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/frechet/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/benchmark/benchmark.js index a5dcce74f8f1..74ed66b98c29 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,17 +33,25 @@ var mean = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var y; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - alpha = ( randu()*20.0 ) + EPS; - s = ( randu()*20.0 ) + EPS; - m = ( randu()*40.0 ) - 20.0; - y = mean( alpha, s, m ); + y = mean( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/median/benchmark/benchmark.js index dee7ea92b351..3c8b048d33b8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/median/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,17 +33,25 @@ var median = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var y; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - alpha = ( randu()*20.0 ) + EPS; - s = ( randu()*20.0 ) + EPS; - m = ( randu()*40.0 ) - 20.0; - y = median( alpha, s, m ); + y = median( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/mode/benchmark/benchmark.js index 20e79cc5c031..e67071785c82 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/mode/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/mode/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 mode = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var y; var i; + len = 100; + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - alpha = ( randu()*20.0 ) + EPS; - s = ( randu()*20.0 ) + EPS; - m = ( randu()*40.0 ) - 20.0; - y = mode( alpha, s, m ); + y = mode( alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/pdf/benchmark/benchmark.js index c0b428f72c11..8c7ebe53ae1c 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/pdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,19 +33,28 @@ var pdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -50.0, 50.0 ); + alpha[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 40.0 ); + s[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 50.0; - alpha = ( randu()*20.0 ) + EPS; - m = ( randu()*60.0 ) - 20.0; - s = ( randu()*20.0 ) + EPS; - y = pdf( x, alpha, s, m ); + y = pdf( x[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mypdf; var alpha; + var len; var m; var s; var x; @@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) { s = 3.0; m = 4.0; mypdf = pdf.factory( alpha, s, m ); + 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/frechet/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/quantile/benchmark/benchmark.js index b36a57028cb0..4195c042961b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/quantile/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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; @@ -32,19 +33,28 @@ var quantile = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; + var len; var m; var s; var p; var y; var i; + len = 100; + p = new Float64Array( len ); + alpha = new Float64Array( len ); + s = new Float64Array( len ); + m = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + p[ i ] = uniform( 0.0, 1.0 ); + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -20.0, 40.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - p = randu(); - alpha = ( randu()*20.0 ) + EPS; - m = ( randu()*60.0 ) - 20.0; - s = ( randu()*20.0 ) + EPS; - y = quantile( p, alpha, s, m ); + y = quantile( p[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var myQuantile; var alpha; + var len; var m; var s; var p; @@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) { s = 3.0; m = 4.0; myQuantile = quantile.factory( alpha, s, m ); + 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/frechet/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/benchmark/benchmark.js index e6eb1fa296d0..34e4b83682e8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/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' ); @@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/benchmark/benchmark.native.js index 1a32fb72d772..91a7e63ce7da 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/skewness/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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); var EPS = require( '@stdlib/constants/float64/eps' ); @@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); for ( i = 0; i < b.iterations; i++ ) { diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.js index 7e4953d4e9ed..f7248b9d0871 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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' ); @@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.native.js index 76c7bd50a440..cf40611767c5 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/stdev/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); var EPS = require( '@stdlib/constants/float64/eps' ); @@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); for ( i = 0; i < b.iterations; i++ ) { diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.js index 18f057adafa1..81c244378733 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/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' ); @@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.native.js index c2742f3a5426..feaac3ac5b7a 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/variance/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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); var EPS = require( '@stdlib/constants/float64/eps' ); @@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) { s = new Float64Array( len ); m = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - alpha[ i ] = ( randu()*20.0 ) + EPS; - s[ i ] = ( randu()*20.0 ) + EPS; - m[ i ] = ( randu()*20.0 ) - 40.0; + alpha[ i ] = uniform( EPS, 20.0 ); + s[ i ] = uniform( EPS, 20.0 ); + m[ i ] = uniform( -40.0, -20.0 ); } b.tic(); for ( i = 0; i < b.iterations; i++ ) {