diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/benchmark/benchmark.js index 297d0c2ccde5..b91d5c6b557d 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/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 logcdf = 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 = logcdf( x[ i % len ], alpha[ i % len ], beta[ i % len ] ); + y = logcdf( 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 mylogcdf; 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; mylogcdf = logcdf.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 = mylogcdf( x[ i % len ] ); + y = mylogcdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.factory.js index 742a86346914..4a06cca3485a 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.factory.js @@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', logcdf = factory( 1.0, 1.0 ); y = logcdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NaN, 1.0 ); y = logcdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( 1.0, NaN ); y = logcdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NaN, NaN ); y = logcdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NaN, NaN ); y = logcdf( 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 logcdf = factory( 0.5, 1.0 ); y = logcdf( NINF ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( -100.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( -10.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( -1.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( 0.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); t.end(); }); @@ -106,7 +106,7 @@ tape( 'if provided a finite `alpha` and `beta`, the function returns a function logcdf = factory( 0.5, 1.0 ); y = logcdf( PINF ); - t.equal( y, 0.0, 'returns 0' ); + t.equal( y, 0.0, 'returns expected value' ); t.end(); }); @@ -118,31 +118,31 @@ tape( 'if provided a nonpositive `beta`, the created function always returns `Na logcdf = factory( 1.0, 0.0 ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( 1.0, -1.0 ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( 1.0, NINF ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( PINF, NINF ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NINF, NINF ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NaN, NINF ); y = logcdf( 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 logcdf = factory( 0.0, 0.5 ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( -1.0, 0.5 ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NINF, 1.0 ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NINF, PINF ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NINF, NINF ); y = logcdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logcdf = factory( NINF, NaN ); y = logcdf( 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/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.logcdf.js index 162586fc8d6d..9bf235214a27 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.logcdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logcdf/test/test.logcdf.js @@ -46,26 +46,26 @@ 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 = logcdf( NaN, 1.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 0.0, NaN, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 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 `-infinity`', function test( t ) { var y = logcdf( NINF, 0.5, 1.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( -100.0, 0.5, 1.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( -1.0, 0.5, 1.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logcdf( 0.0, 0.5, 1.0 ); - t.equal( y, NINF, 'returns -infinity' ); + t.equal( y, NINF, 'returns expected value' ); t.end(); }); @@ -80,25 +80,25 @@ tape( 'if provided a nonpositive `alpha`, the function returns `NaN`', function var y; y = logcdf( 2.0, 0.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 0.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 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 = logcdf( 2.0, 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 0.0, 2.0, -1/0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logcdf( 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/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.js index fdef1fcd06d5..f6697fe6ff93 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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 logpdf = require( './../lib' ); bench( pkg, function benchmark( b ) { var alpha; var beta; - var len; + var opts; var x; var y; var i; - len = 100; - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - x = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - alpha[ i ] = uniform( EPS, 100.0 ); - beta[ i ] = uniform( EPS, 100.0 ); - x[ i ] = uniform( EPS, 2.0 ); - } + 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 = logpdf( x[ i % len ], alpha[ i % len ], beta[ i % len ] ); + y = logpdf( x[ i % x.length ], alpha[ i % alpha.length ], beta[ i % beta.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } @@ -68,24 +64,23 @@ bench( pkg+':factory', function benchmark( b ) { var mylogpdf; 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; mylogpdf = logpdf.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 = mylogpdf( x[ i % len ] ); + y = mylogpdf( x[ i % x.length ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.native.js index 1612361d5282..d15585849750 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/benchmark/benchmark.native.js @@ -22,8 +22,7 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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' ); @@ -43,24 +42,21 @@ var opts = { bench( pkg+'::native', opts, function benchmark( b ) { var alpha; var beta; - var len; + var opts; var x; var y; var i; - len = 100; - alpha = new Float64Array( len ); - beta = new Float64Array( len ); - x = new Float64Array( len ); - for ( i = 0; i < len; i++ ) { - alpha[ i ] = uniform( EPS, 100.0 ); - beta[ i ] = uniform( EPS, 100.0 ); - x[ i ] = uniform( EPS, 2.0 ); - } + 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 = logpdf( x[ i % len ], alpha[ i % len ], beta[ i % len ] ); + y = logpdf( x[ i % x.length ], 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/logpdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.factory.js index 15c2e9641834..830a988f044a 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.factory.js @@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', logpdf = factory( 1.0, 1.0 ); y = logpdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NaN, 1.0 ); y = logpdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( 1.0, NaN ); y = logpdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NaN, NaN ); y = logpdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NaN, NaN ); y = logpdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -83,13 +83,13 @@ tape( 'if provided a valid `alpha` and `beta`, the function returns a function w logpdf = factory( 0.5, 1.0 ); y = logpdf( NINF ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -100.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -0.5 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); t.end(); }); @@ -101,26 +101,26 @@ tape( 'if provided `beta <= 0`, the created function always returns `NaN`', func logpdf = factory( 0.0, -1.0 ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( 0.0, NINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( PINF, NINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NINF, NINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NaN, NINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -132,26 +132,26 @@ tape( 'if provided `alpha <= 0`, the created function always returns `NaN`', fun logpdf = factory( -1.0, 0.5 ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NINF, 1.0 ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NINF, PINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NINF, NINF ); y = logpdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); logpdf = factory( NINF, NaN ); y = logpdf( 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/logpdf/test/test.logpdf.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.logpdf.js index 588252f746f0..d237196754ce 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.logpdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.logpdf.js @@ -46,11 +46,11 @@ 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 = logpdf( NaN, 1.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, NaN, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, 1.0, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -58,13 +58,13 @@ tape( 'if provided a number smaller than zero for `x` and a valid `alpha` and `b var y; y = logpdf( NINF, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -100.0, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -0.5, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); t.end(); }); @@ -73,22 +73,22 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', function test( t ) var y; y = logpdf( 2.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -97,22 +97,22 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t ) var y; y = logpdf( 2.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 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/logpdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.native.js index 9882f964fa31..31d44939c6fa 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/logpdf/test/test.native.js @@ -55,11 +55,11 @@ 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 y = logpdf( NaN, 1.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, NaN, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, 1.0, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -67,13 +67,13 @@ tape( 'if provided a number smaller than zero for `x` and a valid `alpha` and `b var y; y = logpdf( NINF, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -100.0, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); y = logpdf( -0.5, 1.0, 1.0 ); - t.equal( y, NINF, 'returns -Infinity' ); + t.equal( y, NINF, 'returns expected value' ); t.end(); }); @@ -82,22 +82,22 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', opts, function tes var y; y = logpdf( 2.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -106,22 +106,22 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test var y; y = logpdf( 2.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 0.0, 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 2.0, NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = logpdf( 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/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.js index 6fd59473daa0..901970971900 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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 mean = 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, 10.0 ); - beta[ i ] = uniform( 1.0 + EPS, 11.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 10.0, opts ); + beta = uniform( 100, 1.0 + EPS, 11.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = mean( alpha[ i % len ], beta[ i % len ] ); + y = mean( 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/mean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.native.js index 6e3d9c419274..0d184900218b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/benchmark/benchmark.native.js @@ -22,8 +22,7 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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, 10.0 ); - beta[ i ] = uniform( 1.0 + EPS, 11.0 ); - } + opts = { + 'dtype': 'float64' + }; + alpha = uniform( 100, EPS, 10.0, opts ); + beta = uniform( 100, 1.0 + EPS, 11.0, opts ); b.tic(); for ( i = 0; i < b.iterations; i++ ) { - y = mean( alpha[ i % len ], beta[ i % len ] ); + y = mean( 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/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.js index 3baff0509aba..0d870ac861f6 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.js @@ -42,10 +42,10 @@ 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 = mean( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = mean( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -54,19 +54,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', function test( t ) var y; y = mean( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -75,25 +75,25 @@ tape( 'if provided `beta <= 1`, the function returns `NaN`', function test( t ) var y; y = mean( 2.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 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/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.native.js index 783123239b66..61c3cb1c6029 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mean/test/test.native.js @@ -51,10 +51,10 @@ 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 = mean( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = mean( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -63,19 +63,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', opts, function tes var y; y = mean( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -84,25 +84,25 @@ tape( 'if provided `beta <= 1`, the function returns `NaN`', opts, function test var y; y = mean( 2.0, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mean( 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/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.js index 1b881edbcf5d..c6886895103f 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.js @@ -21,8 +21,7 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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 mode = 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, 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++ ) { - y = mode( alpha[ i % len ], beta[ i % len ] ); + y = mode( 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/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.native.js index ab5c4a0c17c6..34551660b41b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/benchmark/benchmark.native.js @@ -22,8 +22,7 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var uniform = require( '@stdlib/random/base/uniform' ); -var Float64Array = require( '@stdlib/array/float64' ); +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, 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++ ) { - y = mode( alpha[ i % len ], beta[ i % len ] ); + y = mode( 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/mode/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.js index 0b075df4e331..4f6475dae938 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.js @@ -39,10 +39,10 @@ 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 = mode( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = mode( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -51,19 +51,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', function test( t ) var y; y = mode( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -72,22 +72,22 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t ) var y; y = mode( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( 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/mode/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.native.js index 62f20c158040..ed8c6e6d0a85 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/betaprime/mode/test/test.native.js @@ -48,10 +48,10 @@ 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 = mode( NaN, 0.5 ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); v = mode( 10.0, NaN ); - t.equal( isnan( v ), true, 'returns NaN' ); + t.equal( isnan( v ), true, 'returns expected value' ); t.end(); }); @@ -60,19 +60,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', opts, function tes var y; y = mode( -1.0, 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); }); @@ -81,22 +81,22 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test var y; y = mode( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( 1.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( PINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NINF, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); y = mode( NaN, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); + t.equal( isnan( y ), true, 'returns expected value' ); t.end(); });