diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/benchmark/benchmark.js index 2bd63bbf3650..53d988efbbe8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var Float64Array = require( '@stdlib/array/float64' ); -var uniform = require( '@stdlib/random/base/uniform' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -34,24 +33,21 @@ var cdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; var beta; - var len; + var opts; var x; var y; var i; - len = 100; - x = new Float64Array( len ); - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - x[ i ] = uniform( EPS, 2.0 ); - alpha[ i ] = uniform( EPS, 100.0 ); - beta[ i ] = uniform( EPS, 100.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 100.0, opts ); + beta = uniform( 100, EPS, 100.0, opts ); + x = uniform( 100, EPS, 2.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = cdf( x[i % len], alpha[i % len], beta[i % len] ); + y = cdf( x[ i % x.length ], alpha[ i % alpha.length ], beta[ i % beta.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -68,23 +64,23 @@ bench( pkg+':factory', function benchmark( b ) { var mycdf; var alpha; var beta; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, EPS, 2.0, opts ); + alpha = 100.56789; beta = 55.54321; mycdf = cdf.factory( alpha, beta ); - len = 100; - x = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - x[ i ] = uniform( EPS, 2.0 ); - } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = mycdf( x[ i % len ] ); + y = mycdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.cdf.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.cdf.js index f23ec51bdd5c..f5438fe81dd9 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.cdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.cdf.js @@ -46,33 +46,33 @@ tape( 'main export is a function', function test( t ) { tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) { var y = cdf( NaN, 1.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0, NaN, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0, 1.0, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); tape( 'if provided a number less than or equal to zero for `x` and a finite `alpha` and `beta`, the function returns `0`', function test( t ) { var y = cdf( NINF, 0.5, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( -100.0, 0.5, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( -1.0, 0.5, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( 0.0, 0.5, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); t.end(); }); tape( 'if provided `+Infinity` for `x` and a finite `alpha` and `beta`, the function returns `1`', function test( t ) { var y = cdf( PINF, 0.5, 1.0 ); - t.equal( y, 1.0, 'returns 1' ); + t.equal( y, 1.0, 'returns expected value' ); t.end(); }); @@ -80,25 +80,25 @@ tape( 'if provided a nonpositive `alpha`, the function returns `NaN`', function var y; y = cdf( 2.0, 0.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -107,25 +107,25 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', function t var y; y = cdf( 2.0, 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0, 2.0, -1/0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 2.0, NaN, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.factory.js index 36ac960259f9..c66289193964 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/cdf/test/test.factory.js @@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', cdf = factory( 1.0, 1.0 ); y = cdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NaN, 1.0 ); y = cdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( 1.0, NaN ); y = cdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NaN, NaN ); y = cdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NaN, NaN ); y = cdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -83,19 +83,19 @@ tape( 'if provided a finite `alpha` and `beta`, the function returns a function cdf = factory( 0.5, 1.0 ); y = cdf( NINF ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( -100.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( -10.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( -1.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); y = cdf( 0.0 ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); t.end(); }); @@ -106,7 +106,7 @@ tape( 'if provided a finite `alpha` and `beta`, the function returns a function cdf = factory( 0.5, 1.0 ); y = cdf( PINF ); - t.equal( y, 1.0, 'returns 1' ); + t.equal( y, 1.0, 'returns expected value' ); t.end(); }); @@ -118,31 +118,31 @@ tape( 'if provided a nonpositive `beta`, the created function always returns `Na cdf = factory( 1.0, 0.0 ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( 1.0, -1.0 ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( 1.0, NINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( PINF, NINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NINF, NINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NaN, NINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -154,31 +154,31 @@ tape( 'if provided a nonpositive `alpha`, the created function always returns `N cdf = factory( 0.0, 0.5 ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( -1.0, 0.5 ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = cdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NINF, 1.0 ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NINF, PINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NINF, NINF ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); cdf = factory( NINF, NaN ); y = cdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/ctor/benchmark/benchmark.js index f8665b394b3d..5ed003e8b62d 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/ctor/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/ctor/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var Float64Array = require( '@stdlib/array/float64' ); -var uniform = require( '@stdlib/random/base/uniform' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -35,20 +34,18 @@ bench( pkg+'::instantiation', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var i; - len = 100; - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - alpha[ i ] = uniform( EPS, 10.0 ); - beta[ i ] = uniform( EPS, 10.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 10.0, opts ); + beta = uniform( 100, EPS, 10.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - dist = new BetaPrime( alpha[ i % len ], beta[ i % len ] ); + dist = new BetaPrime( alpha[ i % alpha.length ], beta[ i % beta.length ] ); if ( !( dist instanceof BetaPrime ) ) { b.fail( 'should return a distribution instance' ); } @@ -91,23 +88,23 @@ bench( pkg+'::set:alpha', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var y; var i; + opts = { + 'dtype': 'float64' + }; + y = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - dist.alpha = y[ i % len ]; - if ( dist.alpha !== y[ i % len ] ) { + dist.alpha = y[ i % y.length ]; + if ( dist.alpha !== y[ i % y.length ] ) { b.fail( 'should return set value' ); } } @@ -149,23 +146,23 @@ bench( pkg+'::set:beta', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var y; var i; + opts = { + 'dtype': 'float64' + }; + y = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - dist.beta = y[ i % len ]; - if ( dist.beta !== y[ i % len ] ) { + dist.beta = y[ i % y.length ]; + if ( dist.beta !== y[ i % y.length ] ) { b.fail( 'should return set value' ); } } @@ -181,23 +178,23 @@ bench( pkg+':kurtosis', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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.alpha = x[ i % len ]; + dist.alpha = x[ i % x.length ]; y = dist.kurtosis; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -215,23 +212,23 @@ bench( pkg+':mean', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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.alpha = x[ i % len ]; + dist.alpha = x[ i % x.length ]; y = dist.mean; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -249,23 +246,23 @@ bench( pkg+':mode', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, 1.0 + EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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.alpha = x[ i % len ]; + dist.alpha = x[ i % x.length ]; y = dist.mode; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -283,23 +280,23 @@ bench( pkg+':skewness', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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.alpha = x[ i % len ]; + dist.alpha = x[ i % x.length ]; y = dist.skewness; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -317,23 +314,23 @@ bench( pkg+':stdev', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, EPS, 100.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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.alpha = x[ i % len ]; + dist.alpha = x[ i % x.length ]; y = dist.stdev; if ( isnan( y ) ) { b.fail( 'should not return NaN' ); @@ -351,23 +348,23 @@ bench( pkg+':cdf', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, 0.0, 1.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - y = dist.cdf( x[ i % len ] ); + y = dist.cdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -384,23 +381,23 @@ bench( pkg+':logpdf', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, 0.0, 1.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - y = dist.logpdf( x[ i % len ] ); + y = dist.logpdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -417,23 +414,23 @@ bench( pkg+':pdf', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, 0.0, 1.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - y = dist.pdf( x[ i % len ] ); + y = dist.pdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -450,23 +447,23 @@ bench( pkg+':quantile', function benchmark( b ) { var alpha; var beta; var dist; - var len; + var opts; var x; var y; var i; + opts = { + 'dtype': 'float64' + }; + x = uniform( 100, 0.0, 1.0, opts ); + alpha = 100.56789; beta = 55.54321; dist = new BetaPrime( alpha, 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++ ) { - y = dist.quantile( x[ i % len ] ); + y = dist.quantile( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.js index cad3dfbdb3e4..328fd05da2e3 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var Float64Array = require( '@stdlib/array/float64' ); -var uniform = require( '@stdlib/random/base/uniform' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var EPS = require( '@stdlib/constants/float64/eps' ); var pkg = require( './../package.json' ).name; @@ -34,21 +33,19 @@ var kurtosis = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; var beta; - var len; + var opts; var y; var i; - len = 100; - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - alpha[ i ] = uniform( EPS, 20.0 ); - beta[ i ] = uniform( 4.0 + EPS, 20.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 20.0, opts ); + beta = uniform( 100, 4.0 + EPS, 20.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = kurtosis( alpha[ i % len ], beta[ i % len ] ); + y = kurtosis( alpha[ i % alpha.length ], beta[ i % beta.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.native.js index 79a7d6244cfd..3d4622ed2f11 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.native.js @@ -22,8 +22,7 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var Float64Array = require( '@stdlib/array/float64' ); -var uniform = require( '@stdlib/random/base/uniform' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var tryRequire = require( '@stdlib/utils/try-require' ); var EPS = require( '@stdlib/constants/float64/eps' ); @@ -43,21 +42,19 @@ var opts = { bench( pkg+'::native', opts, function benchmark( b ) { var alpha; var beta; - var len; + var opts; var y; var i; - len = 100; - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - alpha[ i ] = uniform( EPS, 20.0 ); - beta[ i ] = uniform( 4.0 + EPS, 20.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 20.0, opts ); + beta = uniform( 100, 4.0 + EPS, 20.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = kurtosis( alpha[ i % 100 ], beta[ i % 100 ] ); + y = kurtosis( alpha[ i % alpha.length ], beta[ i % beta.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.js index 318b709bdf4d..177813a50ce6 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.js @@ -44,10 +44,10 @@ tape( 'main export is a function', function test( t ) { tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) { var v = kurtosis( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = kurtosis( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -56,19 +56,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', function test( t ) var y; y = kurtosis( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -77,34 +77,34 @@ tape( 'if provided `beta <= 4`, the function returns `NaN`', function test( t ) var y; y = kurtosis( 2.0, 4.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 3.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NaN, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.native.js index 1d7b9c1df571..a1be1e4dabf4 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/test/test.native.js @@ -53,10 +53,10 @@ tape( 'main export is a function', opts, function test( t ) { tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) { var v = kurtosis( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = kurtosis( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -65,19 +65,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', opts, function tes var y; y = kurtosis( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -86,34 +86,34 @@ tape( 'if provided `beta <= 4`, the function returns `NaN`', opts, function test var y; y = kurtosis( 2.0, 4.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 3.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = kurtosis( NaN, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); });