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bench: update random value generation #6811

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Apr 26, 2025
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bench: update random value generation
hrshya committed Apr 25, 2025
commit ea9d80804c57ec73dde82f18f0453da5ba6e63c8
Original file line number Diff line number Diff line change
@@ -21,8 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -34,21 +33,19 @@ var kurtosis = require( './../lib' );
bench( pkg, function benchmark( b ) {
var alpha;
var beta;
var len;
var opts;
var y;
var i;

len = 100;
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
alpha[ i ] = uniform( EPS, 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 = kurtosis( alpha[ i % len ], beta[ i % len ] );
y = kurtosis( alpha[ i % alpha.length ], beta[ i % beta.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Original file line number Diff line number Diff line change
@@ -22,8 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var EPS = require( '@stdlib/constants/float64/eps' );
@@ -43,21 +42,19 @@ var opts = {
bench( pkg+'::native', opts, function benchmark( b ) {
var alpha;
var beta;
var len;
var opts;
var y;
var i;

len = 100;
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
alpha[ i ] = uniform( EPS, 10.0 );
beta[ i ] = uniform( EPS, 10.0 );
}
opts = {
'dtype': 'float64'
};
alpha = uniform( 100, EPS, 10.0, opts );
beta = uniform( 100, EPS, 10.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = kurtosis( alpha[ i % len ], beta[ i % len ] );
y = kurtosis( alpha[ i % alpha.length ], beta[ i % beta.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Original file line number Diff line number Diff line change
@@ -44,10 +44,10 @@ tape( 'main export is a function', function test( t ) {

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

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

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

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

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

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

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

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

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

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();
});
Original file line number Diff line number Diff line change
@@ -53,10 +53,10 @@ tape( 'main export is a function', opts, function test( t ) {

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

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

t.end();
});
@@ -65,19 +65,19 @@ tape( 'if provided `alpha <= 0`, the function returns `NaN`', opts, function tes
var y;

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

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

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

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

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

t.end();
});
@@ -86,19 +86,19 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test
var y;

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();
});
Original file line number Diff line number Diff line change
@@ -21,8 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -34,24 +33,21 @@
bench( pkg, function benchmark( b ) {
var alpha;
var beta;
var len;
var opts;
var x;
var y;
var i;

len = 100;
x = new Float64Array( len );
alpha = new Float64Array( len );
beta = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 2.0 );
alpha[ i ] = uniform( EPS, 100.0 );
beta[ i ] = uniform( EPS, 100.0 );
}
opts = {
'dtype': 'float64'
};
alpha = uniform( 100, EPS, 100.0, opts );
beta = uniform( 100, EPS, 100.0, opts );
x = uniform( 100, EPS, 2.0, opts );

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

Check warning on line 50 in lib/node_modules/@stdlib/stats/base/dists/beta/logcdf/benchmark/benchmark.js

GitHub Actions / Lint Changed Files

This line has a length of 92. Maximum allowed is 80
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -68,23 +64,23 @@
var mylogcdf;
var alpha;
var beta;
var len;
var opts;
var x;
var y;
var i;

opts = {
'dtype': 'float64'
};
x = uniform( 100, EPS, 2.0, opts );

alpha = 100.56789;
beta = 55.54321;
mylogcdf = logcdf.factory( alpha, beta );
len = 100;
x = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = uniform( EPS, 2.0 );
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mylogcdf( x[ i % len ] );
y = mylogcdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
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