From afed36a1a02ce6f75290cd1d8333c235b24482a4 Mon Sep 17 00:00:00 2001
From: hrshya <harshyadav6078@gmail.com>
Date: Mon, 26 May 2025 09:28:22 +0530
Subject: [PATCH 1/3] bench: update random value generation
---
.../dists/cosine/cdf/benchmark/benchmark.js | 36 ++-
.../cosine/cdf/benchmark/benchmark.native.js | 22 +-
.../base/dists/cosine/cdf/test/test.cdf.js | 28 +--
.../dists/cosine/cdf/test/test.factory.js | 32 +--
.../base/dists/cosine/cdf/test/test.native.js | 28 +--
.../dists/cosine/ctor/benchmark/benchmark.js | 219 +++++++++---------
.../cosine/kurtosis/benchmark/benchmark.js | 19 +-
.../kurtosis/benchmark/benchmark.native.js | 19 +-
.../base/dists/cosine/kurtosis/test/test.js | 18 +-
.../dists/cosine/kurtosis/test/test.native.js | 18 +-
.../cosine/logcdf/benchmark/benchmark.js | 36 ++-
.../logcdf/benchmark/benchmark.native.js | 22 +-
.../dists/cosine/logcdf/test/test.factory.js | 32 +--
.../dists/cosine/logcdf/test/test.logcdf.js | 28 +--
.../dists/cosine/logcdf/test/test.native.js | 28 +--
.../cosine/logpdf/benchmark/benchmark.js | 36 ++-
.../logpdf/benchmark/benchmark.native.js | 22 +-
.../dists/cosine/logpdf/test/test.factory.js | 44 ++--
.../dists/cosine/logpdf/test/test.logpdf.js | 40 ++--
.../dists/cosine/logpdf/test/test.native.js | 40 ++--
.../dists/cosine/mean/benchmark/benchmark.js | 19 +-
.../cosine/mean/benchmark/benchmark.native.js | 19 +-
.../stats/base/dists/cosine/mean/test/test.js | 18 +-
.../dists/cosine/mean/test/test.native.js | 14 +-
.../cosine/median/benchmark/benchmark.js | 19 +-
.../median/benchmark/benchmark.native.js | 19 +-
.../base/dists/cosine/median/test/test.js | 18 +-
.../dists/cosine/median/test/test.native.js | 18 +-
28 files changed, 433 insertions(+), 478 deletions(-)
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.js
index c56308852d7b..208c2bd2996d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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;
@@ -32,26 +31,23 @@ var cdf = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = cdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = cdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -66,25 +62,25 @@ bench( pkg, function benchmark( b ) {
bench( pkg+':factory', function benchmark( b ) {
var mycdf;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 50.0, opts );
+
mu = 10.0;
s = 4.0;
mycdf = cdf.factory( mu, s );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( 0.0, 50.0 );
- }
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- 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/cosine/cdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.native.js
index 62e17ce9dc29..17787237d50a 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/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 EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,26 +40,23 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = cdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = cdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.cdf.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.cdf.js
index 0165515a217f..e64aca2337b8 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.cdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.cdf.js
@@ -46,23 +46,23 @@ 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, 0.0, 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 `+infinity` for `x` and a finite `mu` and `s`, the function returns `1`', function test( t ) {
var y = cdf( PINF, 0.0, 1.0 );
- t.equal( y, 1.0, 'returns 1' );
+ t.equal( y, 1.0, 'returns expected value' );
t.end();
});
tape( 'if provided `-infinity` for `x` and a finite `mu` and `s`, the function returns `0`', function test( t ) {
var y = cdf( NINF, 0.0, 1.0 );
- t.equal( y, 0.0, 'returns 0' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
@@ -70,22 +70,22 @@ tape( 'if provided a negative `s`, the function returns `NaN`', function test( t
var y;
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();
});
@@ -94,13 +94,13 @@ tape( 'if provided `s` equals `0`, the function evaluates a degenerate distribut
var y;
y = cdf( 2.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x equal to mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 3.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x greater than mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 1.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x smaller than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.factory.js
index 766c28c7a59a..3116f000e49d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.factory.js
@@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`',
cdf = factory( 0.0, 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();
});
@@ -83,7 +83,7 @@ tape( 'if provided a valid `mu` and `s`, the function returns a function which r
cdf = factory( 0.0, 1.0 );
y = cdf( PINF );
- t.equal( y, 1.0, 'returns 1' );
+ t.equal( y, 1.0, 'returns expected value' );
t.end();
});
@@ -94,7 +94,7 @@ tape( 'if provided a valid `mu` and `s`, the function returns a function which r
cdf = factory( 0.0, 1.0 );
y = cdf( NINF );
- t.equal( y, 0.0, 'returns 0' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
@@ -106,26 +106,26 @@ tape( 'if provided a negative `s`, the created function always returns `NaN`', f
cdf = factory( 0.0, -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( 0.0, 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();
});
@@ -137,13 +137,13 @@ tape( 'if `s` equals `0`, the created function evaluates a degenerate distributi
cdf = factory( 2.0, 0.0 );
y = cdf( 2.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x equal to mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 3.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x greater than mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 1.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x smaller than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.native.js
index 1e3ec2da7cff..82e0ae43a34f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.native.js
@@ -55,23 +55,23 @@ 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 = cdf( NaN, 0.0, 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 `+infinity` for `x` and a finite `mu` and `s`, the function returns `1`', opts, function test( t ) {
var y = cdf( PINF, 0.0, 1.0 );
- t.equal( y, 1.0, 'returns 1' );
+ t.equal( y, 1.0, 'returns expected value' );
t.end();
});
tape( 'if provided `-infinity` for `x` and a finite `mu` and `s`, the function returns `0`', opts, function test( t ) {
var y = cdf( NINF, 0.0, 1.0 );
- t.equal( y, 0.0, 'returns 0' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
@@ -79,22 +79,22 @@ tape( 'if provided a negative `s`, the function returns `NaN`', opts, function t
var y;
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();
});
@@ -103,13 +103,13 @@ tape( 'if provided `s` equals `0`, the function evaluates a degenerate distribut
var y;
y = cdf( 2.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x equal to mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 3.0, 2.0, 0.0 );
- t.equal( y, 1.0, 'returns 1 for x greater than mu' );
+ t.equal( y, 1.0, 'returns expected value' );
y = cdf( 1.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x smaller than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/ctor/benchmark/benchmark.js
index 479bec8237f3..89aa6bf906e5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/ctor/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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;
@@ -33,22 +32,20 @@ var Cosine = require( './../lib' );
bench( pkg+'::instantiation', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( EPS, 10.0 );
- s[ i ] = uniform( EPS, 10.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, EPS, 10.0, opts );
+ s = uniform( 100, EPS, 10.0, opts );
bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
- dist = new Cosine( mu[ i % len ], s[ i % len ] );
+ dist = new Cosine( mu[ i % mu.length ], s[ i % s.length ] );
if ( !( dist instanceof Cosine ) ) {
bm.fail( 'should return a distribution instance' );
}
@@ -89,25 +86,25 @@ bench( pkg+'::get:mu', function benchmark( bm ) {
bench( pkg+'::set:mu', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ y = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- y = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- y[ i ] = uniform( EPS, 100.0 );
- }
bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
- dist.mu = y[ i % len ];
- if ( dist.mu !== y[ i % len ] ) {
+ dist.mu = y[ i % y.length ];
+ if ( dist.mu !== y[ i % y.length ] ) {
bm.fail( 'should return set value' );
}
}
@@ -147,25 +144,25 @@ bench( pkg+'::get:s', function benchmark( bm ) {
bench( pkg+'::set:s', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ y = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- y = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- y[ i ] = uniform( EPS, 100.0 );
- }
bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
- dist.s = y[ i % len ];
- if ( dist.s !== y[ i % len ] ) {
+ dist.s = y[ i % y.length ];
+ if ( dist.s !== y[ i % y.length ] ) {
bm.fail( 'should return set value' );
}
}
@@ -179,25 +176,25 @@ bench( pkg+'::set:s', function benchmark( bm ) {
bench( pkg+':kurtosis', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.kurtosis;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -213,25 +210,25 @@ bench( pkg+':kurtosis', function benchmark( bm ) {
bench( pkg+':mean', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.mean;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -247,25 +244,25 @@ bench( pkg+':mean', function benchmark( bm ) {
bench( pkg+':median', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.median;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -281,25 +278,25 @@ bench( pkg+':median', function benchmark( bm ) {
bench( pkg+':mode', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 1.0 + EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- x = new Float64Array( len );
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.mode;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -315,25 +312,25 @@ bench( pkg+':mode', function benchmark( bm ) {
bench( pkg+':skewness', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.skewness;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -349,25 +346,25 @@ bench( pkg+':skewness', function benchmark( bm ) {
bench( pkg+':stdev', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.stdev;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -383,25 +380,25 @@ bench( pkg+':stdev', function benchmark( bm ) {
bench( pkg+':variance', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var x;
var s;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, EPS, 100.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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 = x[ i % len ];
+ dist.mu = x[ i % x.length ];
y = dist.variance;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
@@ -417,25 +414,25 @@ bench( pkg+':variance', function benchmark( bm ) {
bench( pkg+':cdf', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -3.0, 3.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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++ ) {
- y = dist.cdf( x[ i % len ] );
+ y = dist.cdf( x[ i % x.length ] );
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
}
@@ -450,25 +447,25 @@ bench( pkg+':cdf', function benchmark( bm ) {
bench( pkg+':logpdf', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -3.0, 3.0, opts );
+
mu = 1.0;
s = 2.0;
dist = new Cosine( mu, s );
- len = 100;
- 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++ ) {
- y = dist.logpdf( x[ i % len ] );
+ y = dist.logpdf( x[ i % x.length ] );
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
}
@@ -483,25 +480,25 @@ bench( pkg+':logpdf', function benchmark( bm ) {
bench( pkg+':mgf', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 1.0, opts );
+
mu = 2.0;
s = 0.2;
dist = new Cosine( mu, s );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( 0.0, 1.0 );
- }
bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
- y = dist.mgf( x[ i % len ] );
+ y = dist.mgf( x[ i % x.length ] );
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
}
@@ -516,25 +513,25 @@ bench( pkg+':mgf', function benchmark( bm ) {
bench( pkg+':pdf', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -3.0, 3.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- 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++ ) {
- y = dist.pdf( x[ i % len ] );
+ y = dist.pdf( x[ i % x.length ] );
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
}
@@ -549,25 +546,25 @@ bench( pkg+':pdf', function benchmark( bm ) {
bench( pkg+':quantile', function benchmark( bm ) {
var dist;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 1.0, opts );
+
mu = 2.0;
s = 3.0;
dist = new Cosine( mu, s );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( 0.0, 1.0 );
- }
bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
- y = dist.quantile( x[ i % len ] );
+ y = dist.quantile( x[ i % x.length ] );
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.js
index 20b217d1d6ce..e2bb6f750e67 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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;
@@ -32,23 +31,21 @@ var kurtosis = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = kurtosis( mu[ i % len ], s[ i % len ] );
+ y = kurtosis( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.native.js
index 3065fbb77fc2..74b451d15fb5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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 EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,23 +40,21 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = kurtosis( mu[ i % len ], s[ i % len ] );
+ y = kurtosis( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.js
index cdf8ed17b4f6..8e1e585a667e 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.js
@@ -42,9 +42,9 @@ 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 = kurtosis( NaN, 1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = kurtosis( 1.0, NaN );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
@@ -52,25 +52,25 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
var y;
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( 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/cosine/kurtosis/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.native.js
index 497ef2a2c41a..71e484e716d6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/test/test.native.js
@@ -51,9 +51,9 @@ 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 = kurtosis( NaN, 1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = kurtosis( 1.0, NaN );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
@@ -61,25 +61,25 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', opts, functio
var y;
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( 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/cosine/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js
index fed8b0f345e4..4dacc3b13fc5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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;
@@ -32,26 +31,23 @@ var logcdf = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logcdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = logcdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -66,25 +62,25 @@ bench( pkg, function benchmark( b ) {
bench( pkg+':factory', function benchmark( b ) {
var mylogcdf;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ y = uniform( 100, 0.0, 50.0, opts );
+
mu = 10.0;
s = 4.0;
mylogcdf = logcdf.factory( mu, s );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( 0.0, 50.0 );
- }
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mylogcdf( x[ i % len ] );
+ y = mylogcdf( x[ i % y.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.native.js
index 608a2bfb655f..ef742819f1fd 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/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 EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,26 +40,23 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logcdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = logcdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.factory.js
index 8705edb38a8c..50c7890268e4 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.factory.js
@@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`',
logcdf = factory( 0.0, 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();
});
@@ -83,7 +83,7 @@ tape( 'if provided a valid `mu` and `s`, the function returns a function which r
logcdf = factory( 0.0, 1.0 );
y = logcdf( PINF );
- t.equal( y, 0.0, 'returns 0' );
+ t.equal( y, 0.0, 'returns expected value' );
t.end();
});
@@ -94,7 +94,7 @@ tape( 'if provided a valid `mu` and `s`, the function returns a function which r
logcdf = factory( 0.0, 1.0 );
y = logcdf( NINF );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -106,26 +106,26 @@ tape( 'if provided a negative `s`, the created function always returns `NaN`', f
logcdf = factory( 0.0, -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( 0.0, 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();
});
@@ -137,13 +137,13 @@ tape( 'if `s` equals `0`, the created function evaluates a degenerate distributi
logcdf = factory( 2.0, 0.0 );
y = logcdf( 2.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x equal to mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 3.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x greater than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 1.0, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity for x smaller than mu' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.logcdf.js
index dc3d5b2a872e..b7b1c92d9890 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.logcdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.logcdf.js
@@ -46,23 +46,23 @@ 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, 0.0, 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 `+infinity` for `x` and a finite `mu` and `s`, the function returns `0`', function test( t ) {
var y = logcdf( PINF, 0.0, 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 `mu` and `s`, the function returns `-infinity`', function test( t ) {
var y = logcdf( NINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -70,22 +70,22 @@ tape( 'if provided a negative `s`, the function returns `NaN`', function test( t
var y;
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();
});
@@ -94,13 +94,13 @@ tape( 'if provided `s` equals `0`, the function evaluates a degenerate distribut
var y;
y = logcdf( 2.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x equal to mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 3.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x greater than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 1.0, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity for x smaller than mu' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.native.js
index 50c6f14fdfd0..cba2f2cb820e 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/test/test.native.js
@@ -55,23 +55,23 @@ 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 = logcdf( NaN, 0.0, 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 `+infinity` for `x` and a finite `mu` and `s`, the function returns `0`', opts, function test( t ) {
var y = logcdf( PINF, 0.0, 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 `mu` and `s`, the function returns `-infinity`', opts, function test( t ) {
var y = logcdf( NINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -79,22 +79,22 @@ tape( 'if provided a negative `s`, the function returns `NaN`', opts, function t
var y;
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();
});
@@ -103,13 +103,13 @@ tape( 'if provided `s` equals `0`, the function evaluates a degenerate distribut
var y;
y = logcdf( 2.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x equal to mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 3.0, 2.0, 0.0 );
- t.equal( y, 0.0, 'returns 0 for x greater than mu' );
+ t.equal( y, 0.0, 'returns expected value' );
y = logcdf( 1.0, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity for x smaller than mu' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/benchmark/benchmark.js
index 56d7396d4893..932befa3884f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/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;
@@ -32,26 +31,23 @@ var logpdf = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logpdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = logpdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -66,25 +62,25 @@ bench( pkg, function benchmark( b ) {
bench( pkg+':factory', function benchmark( b ) {
var mylogpdf;
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 50.0, opts );
+
mu = 10.0;
s = 4.0;
mylogpdf = logpdf.factory( mu, s );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( 0.0, 50.0 );
- }
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- 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/cosine/logpdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/benchmark/benchmark.native.js
index e1885a36e469..4d220cab1226 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/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 EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,26 +40,23 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -50.0, 50.0 );
- mu[ i ] = uniform( -10.0, 10.0 );
- s[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -50.0, 50.0, opts );
+ mu = uniform( 100, -10.0, 10.0, opts );
+ s = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logpdf( x[ i % len ], mu[ i % len ], s[ i % len ] );
+ y = logpdf( x[ i % x.length ], mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.factory.js
index 2ed4e0240c3d..b76c9a1029ff 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.factory.js
@@ -56,23 +56,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`',
logpdf = factory( 0.0, 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();
});
@@ -84,13 +84,13 @@ tape( 'if provided a finite `mu` and `s`, the function returns a function which
logpdf = factory( 0.0, 1.0 );
y = logpdf( PINF );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 2.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 20.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -101,13 +101,13 @@ tape( 'if provided a finite `mu` and `s`, the function returns a function which
logpdf = factory( 0.0, 1.0 );
y = logpdf( NINF );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( -2.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( -20.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -119,26 +119,26 @@ tape( 'if provided a negative `s`, the created function always returns `NaN`', f
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();
});
@@ -150,19 +150,19 @@ tape( 'if `s` equals `0`, the created function evaluates a degenerate distributi
logpdf = factory( 2.0, 0.0 );
y = logpdf( 2.0 );
- t.equal( y, PINF, 'returns +Infinity for x equal to mu' );
+ t.equal( y, PINF, 'returns expected value' );
y = logpdf( 1.0 );
- t.equal( y, NINF, 'returns -Infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( PINF );
- t.equal( y, NINF, 'returns -Infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( NINF );
- t.equal( y, NINF, 'returns -Infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( NaN );
- 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/cosine/logpdf/test/test.logpdf.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.logpdf.js
index 0c8569078272..0ff9b30d133f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.logpdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.logpdf.js
@@ -46,36 +46,36 @@ 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, 0.0, 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();
});
tape( 'if provided `x` greater than `mu + s`, the function returns `-infinity`', function test( t ) {
var y = logpdf( PINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 20.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 2.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
tape( 'if provided `x` smaller than `mu - s`, the function returns `-infinity`', function test( t ) {
var y = logpdf( NINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
logpdf( -20.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
logpdf( -2.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -84,22 +84,22 @@ tape( 'if provided a negative `s`, 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();
});
@@ -108,19 +108,19 @@ tape( 'if provided `s` equal to `0`, the function evaluates a degenerate distrib
var y;
y = logpdf( 2.0, 2.0, 0.0 );
- t.equal( y, PINF, 'returns +infinity for x equal to mu' );
+ t.equal( y, PINF, 'returns expected value' );
y = logpdf( 1.0, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( PINF, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( NINF, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( NaN, 2.0, 0.0 );
- 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/cosine/logpdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.native.js
index 058a1f458376..a20dc4903202 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logpdf/test/test.native.js
@@ -55,36 +55,36 @@ 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, 0.0, 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();
});
tape( 'if provided `x` greater than `mu + s`, the function returns `-infinity`', opts, function test( t ) {
var y = logpdf( PINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 20.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
y = logpdf( 2.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
tape( 'if provided `x` smaller than `mu - s`, the function returns `-infinity`', opts, function test( t ) {
var y = logpdf( NINF, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
logpdf( -20.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
logpdf( -2.0, 0.0, 1.0 );
- t.equal( y, NINF, 'returns -infinity' );
+ t.equal( y, NINF, 'returns expected value' );
t.end();
});
@@ -93,22 +93,22 @@ tape( 'if provided a negative `s`, the function returns `NaN`', opts, function 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();
});
@@ -117,19 +117,19 @@ tape( 'if provided `s` equal to `0`, the function evaluates a degenerate distrib
var y;
y = logpdf( 2.0, 2.0, 0.0 );
- t.equal( y, PINF, 'returns +infinity for x equal to mu' );
+ t.equal( y, PINF, 'returns expected value' );
y = logpdf( 1.0, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( PINF, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( NINF, 2.0, 0.0 );
- t.equal( y, NINF, 'returns -infinity ' );
+ t.equal( y, NINF, 'returns expected value ' );
y = logpdf( NaN, 2.0, 0.0 );
- 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/cosine/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/benchmark/benchmark.js
index b7485a2706bf..a2b47538fd3d 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/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;
@@ -32,23 +31,21 @@ var mean = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mean( mu[ i % len ], s[ i % len ] );
+ y = mean( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/benchmark/benchmark.native.js
index 9381eb3d4989..91cf176a7131 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/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 EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,23 +40,21 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mean( mu[ i % len ], s[ i % len ] );
+ y = mean( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.js
index ce9e2383f38d..590b9a8aa995 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.js
@@ -42,9 +42,9 @@ 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 = mean( NaN, 1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = mean( 1.0, NaN );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
@@ -52,25 +52,25 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
var y;
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( 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/cosine/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.native.js
index 4dfec99b8ebf..c47c4c1e8475 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/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 `s <= 0.0`, the function returns `NaN`', opts, function test(
var y;
y = mean( 3.0, 0.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = mean( 0.0, 0.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = mean( 2.0, -2.0 );
- 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( PINF, 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/cosine/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js
index 229962be470c..f74f39d5add7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/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;
@@ -32,23 +31,21 @@ var median = require( './../lib' );
// MAIN //
bench( pkg, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = median( mu[ i % len ], s[ i % len ] );
+ y = median( mu[ i % m.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.native.js
index f9018140d892..df41c34524a3 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/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 EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,23 +40,21 @@ var opts = {
// MAIN //
bench( pkg+'::native', opts, function benchmark( b ) {
- var len;
+ var opts;
var mu;
var s;
var y;
var i;
- len = 100;
- mu = new Float64Array( len );
- s = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- mu[ i ] = uniform( -50.0, 50.0 );
- s[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ mu = uniform( 100, -50.0, 50.0, opts );
+ s = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = median( mu[ i % len ], s[ i % len ] );
+ y = median( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.js
index 94145b6e63b7..b0872b523117 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.js
@@ -42,9 +42,9 @@ 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 = median( NaN, 1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 1.0, NaN );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
@@ -52,25 +52,25 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
var y;
y = median( 2.0, 0.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 2.0, -1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 2.0, -1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 1.0, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( PINF, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( NINF, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 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/cosine/median/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.native.js
index 3219565ec020..d8e70fa28c57 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/test/test.native.js
@@ -51,9 +51,9 @@ 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 = median( NaN, 1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 1.0, NaN );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
@@ -61,25 +61,25 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', opts, functio
var y;
y = median( 2.0, 0.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 2.0, -1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 2.0, -1.0 );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( 1.0, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( PINF, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( NINF, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
y = median( NaN, NINF );
- t.equal( isnan( y ), true, 'returns NaN' );
+ t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});
From e153bffd7ae5e58793c7202cc864d5fffd687327 Mon Sep 17 00:00:00 2001
From: Harsh <149176984+hrshya@users.noreply.github.com>
Date: Mon, 26 May 2025 10:12:33 +0530
Subject: [PATCH 2/3] update benchmark.js
Signed-off-by: Harsh <149176984+hrshya@users.noreply.github.com>
---
.../stats/base/dists/cosine/logcdf/benchmark/benchmark.js | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js
index 4dacc3b13fc5..558345c06df6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/logcdf/benchmark/benchmark.js
@@ -72,7 +72,7 @@ bench( pkg+':factory', function benchmark( b ) {
opts = {
'dtype': 'float64'
};
- y = uniform( 100, 0.0, 50.0, opts );
+ x = uniform( 100, 0.0, 50.0, opts );
mu = 10.0;
s = 4.0;
@@ -80,7 +80,7 @@ bench( pkg+':factory', function benchmark( b ) {
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mylogcdf( x[ i % y.length ] );
+ y = mylogcdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
From 74af2dcc2f043f1bfcea6954d859ad0d926e199c Mon Sep 17 00:00:00 2001
From: Harsh <149176984+hrshya@users.noreply.github.com>
Date: Mon, 26 May 2025 10:14:47 +0530
Subject: [PATCH 3/3] update benchmark.js
Signed-off-by: Harsh <149176984+hrshya@users.noreply.github.com>
---
.../stats/base/dists/cosine/median/benchmark/benchmark.js | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js
index f74f39d5add7..4db0865cdcce 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cosine/median/benchmark/benchmark.js
@@ -45,7 +45,7 @@ bench( pkg, function benchmark( b ) {
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = median( mu[ i % m.length ], s[ i % s.length ] );
+ y = median( mu[ i % mu.length ], s[ i % s.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}