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Merged
merged 1 commit into from
Apr 26, 2025
Merged

bench: update random value generation #6812

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19 changes: 8 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/beta/median/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 @@ -34,21 +33,19 @@ var median = 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 = median( alpha[ i % len ], beta[ i % len ] );
y = median( alpha[ i % alpha.length ], beta[ i % beta.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
24 changes: 12 additions & 12 deletions lib/node_modules/@stdlib/stats/base/dists/beta/median/test/test.js
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Expand Up @@ -44,10 +44,10 @@ tape( 'main export is a function', function test( t ) {

tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
var v = median( NaN, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = median( 10.0, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -56,19 +56,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', function test( t )
var y;

y = median( -1.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( NINF, 1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = median( NINF, PINF );
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( NINF, NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -77,19 +77,19 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t )
var y;

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();
});
Expand Down
36 changes: 16 additions & 20 deletions lib/node_modules/@stdlib/stats/base/dists/beta/mgf/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 @@ -34,24 +33,21 @@
bench( pkg, function benchmark( b ) {
var alpha;
var beta;
var len;
var opts;
var t;
var y;
var i;

len = 100;
t = new Float64Array( len );
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
t[ i ] = uniform( 0.0, 20.0 );
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 );
t = uniform( 100, 0.0, 20.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mgf( t[ i % len ], alpha[ i % len ], beta[ i % len ] );
y = mgf( t[ i % t.length ], alpha[ i % alpha.length ], beta[ i % beta.length ] );

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if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand All @@ -68,23 +64,23 @@
var mymgf;
var alpha;
var beta;
var len;
var opts;
var t;
var y;
var i;

opts = {
'dtype': 'float64'
};
t = uniform( 100, 0.0, 20.0, opts );

alpha = 100.56789;
beta = 55.54321;
mymgf = mgf.factory( alpha, beta );
len = 100;
t = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
t[ i ] = uniform( 0.0, 20.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mymgf( t[ i % len ] );
y = mymgf( t[ i % t.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
40 changes: 20 additions & 20 deletions lib/node_modules/@stdlib/stats/base/dists/beta/mgf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -49,23 +49,23 @@

mgf = factory( 1.0, 1.0 );
y = mgf( NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NaN, 1.0 );
y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 1.0, NaN );
y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NaN, NaN );
y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NaN, NaN );
y = mgf( NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -77,31 +77,31 @@
mgf = factory( 1.0, 0.0 );

y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 1.0, -1.0 );

y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 1.0, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( PINF, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NaN, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -113,31 +113,31 @@
mgf = factory( 0.0, 0.5 );

y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( -1.0, 0.5 );

y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, 1.0 );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, PINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, NaN );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -148,12 +148,12 @@
var x;
var y;

// TODO: Add test fixtures (function is not available in R and Julia)

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Unexpected 'todo' comment: 'TODO: Add test fixtures (function is not...'
mgf = factory( 2.0, 2.0 );
for ( i = 0; i < 100; i++ ) {
x = randu();
y = mgf( x );
t.strictEqual( !isnan( y ) && isNumber( y ), true, 'returns a number' );
t.strictEqual( !isnan( y ) && isNumber( y ), true, 'returns expected value' );
}
t.end();
});
34 changes: 17 additions & 17 deletions lib/node_modules/@stdlib/stats/base/dists/beta/mgf/test/test.mgf.js
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Expand Up @@ -40,37 +40,37 @@

tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
var y = mgf( NaN, 0.0, 1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );
y = mgf( 0.0, NaN, 1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );
y = mgf( 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 nonpositive `alpha`, the function returns `NaN`', function test( t ) {
var y;

y = mgf( 2.0, 0.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, -1.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0, -1.0, 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NINF, 1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NINF, PINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NINF, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NINF, NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -79,25 +79,25 @@
var y;

y = mgf( 2.0, 2.0, 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, 2.0, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0, 2.0, -1/0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, 1.0, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, PINF, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NINF, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, NaN, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -109,7 +109,7 @@
var x;
var y;

// TODO: Add test fixtures (function is not available in R and Julia)

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Unexpected 'todo' comment: 'TODO: Add test fixtures (function is not...'
for ( i = 0; i < 100; i++ ) {
x = randu();
alpha = ( randu()*20.0 ) + EPS;
Expand Down
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