diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/cdf/benchmark/benchmark.js index 968a28a05e05..84c9d5fff8dd 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/cdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var x; var y; var i; + len = 100; + mu = new Float64Array( len ); + scale = new Float64Array( len ); + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 100.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ 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; - scale = ( randu()*20.0 ) + EPS; - y = cdf( x, mu, scale ); + y = cdf( x[ i % len ], mu[ i % len ], scale[ 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 scale; + var len; var mu; var x; var y; @@ -65,12 +75,16 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; scale = 1.5; + len = 100; + x = new Float64Array( len ); mycdf = cdf.factory( mu, scale ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -2.0, 2.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*4.0 ) - 2.0; - 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/laplace/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/ctor/benchmark/benchmark.js index 39923c94ecb3..a616200f1eef 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/ctor/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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; @@ -32,15 +33,22 @@ var Laplace = require( './../lib' ); bench( pkg+'::instantiation', function benchmark( bm ) { var dist; + var len; var mu; var b; var i; + len = 100; + mu = new Float64Array( len ); + b = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( EPS, 10.0 ); + b[ i ] = uniform( EPS, 10.0 ); + } + bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - mu = ( randu() * 10.0 ) + EPS; - b = ( randu() * 10.0 ) + EPS; - dist = new Laplace( mu, b ); + dist = new Laplace( mu[ i % len ], b[ i % len ] ); if ( !( dist instanceof Laplace ) ) { bm.fail( 'should return a distribution instance' ); } @@ -81,6 +89,7 @@ bench( pkg+'::get:mu', function benchmark( bm ) { bench( pkg+'::set:mu', function benchmark( bm ) { var dist; + var len; var mu; var b; var y; @@ -88,18 +97,22 @@ bench( pkg+'::set:mu', function benchmark( bm ) { mu = 2.0; b = 3.0; + len = 100; + y = new Float64Array( len ); dist = new Laplace( mu, b ); + 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.mu = y; - if ( dist.mu !== y ) { + dist.mu = y[ i % len ]; + if ( dist.mu !== y[ i % len ] ) { bm.fail( 'should return set value' ); } } bm.toc(); - if ( isnan( y ) ) { + if ( isnan( dist.mu ) ) { bm.fail( 'should not return NaN' ); } bm.pass( 'benchmark finished' ); @@ -134,6 +147,7 @@ bench( pkg+'::get:b', function benchmark( bm ) { bench( pkg+'::set:b', function benchmark( bm ) { var dist; + var len; var mu; var b; var y; @@ -141,18 +155,22 @@ bench( pkg+'::set:b', function benchmark( bm ) { mu = 2.0; b = 3.0; + len = 100; + y = new Float64Array( len ); dist = new Laplace( mu, b ); + 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' ); } } bm.toc(); - if ( isnan( y ) ) { + if ( isnan( dist.b ) ) { bm.fail( 'should not return NaN' ); } bm.pass( 'benchmark finished' ); @@ -161,18 +179,25 @@ bench( pkg+'::set:b', function benchmark( bm ) { bench( pkg+':entropy', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; dist = new Laplace( mu, b ); + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.entropy; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -188,18 +213,25 @@ bench( pkg+':entropy', function benchmark( bm ) { bench( pkg+':kurtosis', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.kurtosis; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -215,18 +247,25 @@ bench( pkg+':kurtosis', function benchmark( bm ) { bench( pkg+':mean', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.mean; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -242,18 +281,25 @@ bench( pkg+':mean', function benchmark( bm ) { bench( pkg+':median', function benchmark( bm ) { var dist; + var len; var mu; + var x; var b; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.median; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -269,18 +315,25 @@ bench( pkg+':median', function benchmark( bm ) { bench( pkg+':mode', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( 1.0 + EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + 1.0 + EPS; + dist.mu = x[ i % len ]; y = dist.mode; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -296,18 +349,25 @@ bench( pkg+':mode', function benchmark( bm ) { bench( pkg+':skewness', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.skewness; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -323,18 +383,25 @@ bench( pkg+':skewness', function benchmark( bm ) { bench( pkg+':stdev', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.stdev; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -350,18 +417,25 @@ bench( pkg+':stdev', function benchmark( bm ) { bench( pkg+':variance', function benchmark( bm ) { var dist; + var len; var mu; var b; + var x; var y; var i; mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( EPS, 100.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - dist.mu = ( 100.0*randu() ) + EPS; + dist.mu = x[ i % len ]; y = dist.variance; if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); @@ -377,6 +451,7 @@ bench( pkg+':variance', function benchmark( bm ) { bench( pkg+':cdf', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -385,12 +460,16 @@ bench( pkg+':cdf', function benchmark( bm ) { mu = 2.0; b = 3.0; + len = 100; dist = new Laplace( mu, b ); + x = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.cdf( x ); + y = dist.cdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -405,6 +484,7 @@ bench( pkg+':cdf', function benchmark( bm ) { bench( pkg+':logcdf', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -413,12 +493,16 @@ bench( pkg+':logcdf', function benchmark( bm ) { mu = 1.0; b = 2.0; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + len = 100; + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.logcdf( x ); + y = dist.logcdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -433,6 +517,7 @@ bench( pkg+':logcdf', function benchmark( bm ) { bench( pkg+':logpdf', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -441,12 +526,16 @@ bench( pkg+':logpdf', function benchmark( bm ) { mu = 1.0; b = 2.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.logpdf( x ); + y = dist.logpdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -461,6 +550,7 @@ bench( pkg+':logpdf', function benchmark( bm ) { bench( pkg+':mgf', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -469,12 +559,16 @@ bench( pkg+':mgf', function benchmark( bm ) { mu = 2.0; b = 0.2; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + 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.mgf( x ); + y = dist.mgf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -489,6 +583,7 @@ bench( pkg+':mgf', function benchmark( bm ) { bench( pkg+':pdf', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -497,12 +592,16 @@ bench( pkg+':pdf', function benchmark( bm ) { mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -3.0, 3.0 ); + } bm.tic(); for ( i = 0; i < bm.iterations; i++ ) { - x = ( randu()*6.0 ) - 3.0; - y = dist.pdf( x ); + y = dist.pdf( x[ i % len ] ); if ( isnan( y ) ) { bm.fail( 'should not return NaN' ); } @@ -517,6 +616,7 @@ bench( pkg+':pdf', function benchmark( bm ) { bench( pkg+':quantile', function benchmark( bm ) { var dist; + var len; var mu; var b; var x; @@ -525,12 +625,16 @@ bench( pkg+':quantile', function benchmark( bm ) { mu = 2.0; b = 3.0; + len = 100; + x = new Float64Array( len ); dist = new Laplace( mu, b ); + 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/laplace/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/benchmark/benchmark.js index fbfb4b469e64..7d38a54302ea 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - scale[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/benchmark/benchmark.native.js index 5bb5dc0b0bbb..7d8c7fff6b0e 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/entropy/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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - scale[ i ] = ( randu() * 20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.js index cae6475077fa..f92f6a0e7a13 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/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 isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var EPS = require( '@stdlib/constants/float64/eps' ); @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.native.js index 823dcabef7e9..5695b0e040c9 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/kurtosis/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/logcdf/benchmark/benchmark.js index 686e1264d95b..f4ad58aa322d 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/logcdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 100.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ 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; - scale = ( randu()*20.0 ) + EPS; - y = logcdf( x, mu, scale ); + y = logcdf( x[ i % len ], mu[ i % len ], scale[ 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 scale; + var len; var mu; var x; var y; @@ -65,12 +75,16 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; scale = 1.5; + len = 100; + x = new Float64Array( len ); mylogcdf = logcdf.factory( mu, scale ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -2.0, 2.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*4.0 ) - 2.0; - 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/laplace/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/benchmark/benchmark.js index 968248ac23ab..cf1c0f12fba4 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/logpdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 100.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ 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; - scale = ( randu()*20.0 ) + EPS; - y = logpdf( x, mu, scale ); + y = logpdf( x[ i % len ], mu[ i % len ], scale[ 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 scale; + var len; var mu; var x; var y; @@ -65,12 +75,16 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; scale = 1.5; + len = 100; + x = new Float64Array( len ); mylogpdf = logpdf.factory( mu, scale ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -2.0, 2.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*4.0 ) - 2.0; - 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/laplace/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/mean/benchmark/benchmark.js index d198dc94bbd8..9fb15c7f6901 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/mean/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - scale = ( randu()*20.0 ) + EPS; - y = mean( mu, scale ); + y = mean( mu[ i % len ], scale[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/median/benchmark/benchmark.js index 66666dfdfa6e..e42f694b4087 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/median/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var y; var i; + len = 100; + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - scale = ( randu()*20.0 ) + EPS; - y = median( mu, scale ); + y = median( mu[ i % len ], scale[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/mgf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/mgf/benchmark/benchmark.js index bdbd84a948d8..0bfd0da3d306 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/mgf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var t; var y; var i; + len = 100; + mu = new Float64Array( len ); + scale = new Float64Array( len ); + t = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); + t[ i ] = uniform( -1.0/scale[ i ], 1.0/scale[ i ] ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - mu = ( randu()*100.0 ) - 50.0; - scale = ( randu()*20.0 ) + EPS; - t = ( 2.0 * randu() * 1.0/scale ) - ( 1.0/scale ); - y = mgf( t, mu, scale ); + y = mgf( t[ i % len ], mu[ i % len ], scale[ 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 scale; + var len; var mu; var t; var y; @@ -65,12 +75,16 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; scale = 1.5; + len = 100; mymgf = mgf.factory( mu, scale ); + t = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + t[ i ] = uniform( -1.0/scale, 1.0/scale ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - t = ( 2.0 * randu() * 1.0/scale ) - ( 1.0/scale ); - 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/laplace/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.js index c50964786ec9..3847acc9383d 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.js @@ -21,9 +21,9 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); -var isnan = require( '@stdlib/math/base/assert/is-nan' ); 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; var mode = require( './../lib' ); @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.native.js index 9bf6d7eae287..a3e5e1068947 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/mode/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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu() * 100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/pdf/benchmark/benchmark.js index 1709108b3a75..a872ac8c69bc 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/pdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var x; var y; var i; + len = 100; + x = new Float64Array( len ); + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -100.0, 0.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ 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; - scale = ( randu()*20.0 ) + EPS; - y = pdf( x, mu, scale ); + y = pdf( x[ i % len ], mu[ i % len ], scale[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -58,19 +67,24 @@ bench( pkg, function benchmark( b ) { bench( pkg+':factory', function benchmark( b ) { var mypdf; var scale; + var len; var mu; var x; var y; var i; mu = 0.0; + len = 100; + x = new Float64Array( len ); scale = 1.5; mypdf = pdf.factory( mu, scale ); + for ( i = 0; i < len; i++ ) { + x[ i ] = uniform( -2.0, 2.0 ); + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*4.0 ) - 2.0; - 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/laplace/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/quantile/benchmark/benchmark.js index b36bb9c5cc5c..422b6d9c99e8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/quantile/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 scale; + var len; var mu; var p; var y; var i; + len = 100; + p = new Float64Array( len ); + mu = new Float64Array( len ); + scale = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + p[ i ] = uniform( 0.0, 1.0 ); + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); + } + b.tic(); for ( i = 0; i < b.iterations; i++ ) { - p = randu(); - mu = ( randu()*100.0 ) - 50.0; - scale = ( randu()*20.0 ) + EPS; - y = quantile( p, mu, scale ); + y = quantile( p[ i % len ], mu[ i % len ], scale[ 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 scale; + var len; var mu; var p; var y; @@ -65,12 +75,16 @@ bench( pkg+':factory', function benchmark( b ) { mu = 0.0; scale = 1.5; + len = 100; + p = new Float64Array( len ); myquantile = quantile.factory( mu, scale ); + 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/laplace/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/benchmark/benchmark.js index d9fdc24f60e1..b860ff8b212f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/benchmark/benchmark.native.js index 860a9c96979f..eab311d8f272 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/skewness/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 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 ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.js index 894582242a54..910c05256d14 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.js @@ -21,9 +21,9 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); +var uniform = require( '@stdlib/random/base/uniform' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; var stdev = require( './../lib' ); @@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) { mu = new Float64Array( len ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic(); diff --git a/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.native.js index 16742e07d12c..c34adcf2932c 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/laplace/stdev/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/laplace/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 EPS = require( '@stdlib/constants/float64/eps' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) { mu = new Float64Array( len ); scale = new Float64Array( len ); for ( i = 0; i < len; i++ ) { - mu[ i ] = ( randu()*100.0 ) - 50.0; - scale[ i ] = ( randu()*20.0 ) + EPS; + mu[ i ] = uniform( -50.0, 50.0 ); + scale[ i ] = uniform( EPS, 20.0 ); } b.tic();