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Merged
merged 3 commits into from
May 26, 2025
Merged

bench: update random value generation #7093

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afed36a
bench: update random value generation
hrshya May 26, 2025
e153bff
update benchmark.js
hrshya May 26, 2025
74af2dc
update benchmark.js
hrshya May 26, 2025
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36 changes: 16 additions & 20 deletions lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -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;
Expand All @@ -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' );
}
Expand All @@ -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' );
}
Expand Down
22 changes: 9 additions & 13 deletions lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/benchmark/benchmark.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -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' );
Expand All @@ -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' );
}
Expand Down
28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.cdf.js
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Expand Up @@ -46,46 +46,46 @@ 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();
});

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();
});
Expand All @@ -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();
});
Expand Down
32 changes: 16 additions & 16 deletions lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -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();
});
Expand All @@ -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();
});
Expand All @@ -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();
});
Expand All @@ -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();
});
Expand All @@ -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();
});
Expand Down
28 changes: 14 additions & 14 deletions lib/node_modules/@stdlib/stats/base/dists/cosine/cdf/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -55,46 +55,46 @@ 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();
});

tape( 'if provided a negative `s`, the function returns `NaN`', opts, 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();
});
Expand All @@ -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();
});
Expand Down
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