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bench: refactor random number generation in stats/base/dists/arcsine #4744

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Jan 14, 2025
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bench: refactor random number generation in stats/base/dists/arcsine #4744

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12 changes: 6 additions & 6 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,8 +22,8 @@

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/array/uniform' );
var randu = require( '@stdlib/random/base/randu' );
var uniformArray = require( '@stdlib/random/array/uniform' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var cdf = require( './../lib' );
Expand All @@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = ( randu() * 20.0 ) - 10.0;
min[ i ] = ( randu() * 20.0 ) - 20.0;
max[ i ] = min[ i ] + ( randu() * 40.0 );
x[ i ] = uniform( -10.0, 10.0 );
min[ i ] = uniform( -20.0, 0.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
}

b.tic();
Expand Down Expand Up @@ -75,7 +75,7 @@ bench( pkg+':factory', function benchmark( b ) {
min = -1.5;
max = 1.5;
mycdf = cdf.factory( min, max );
x = uniform( 100, -2.0, 2.0 );
x = uniformArray( 100, -2.0, 2.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/cdf/benchmark/benchmark.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand Down Expand Up @@ -52,9 +52,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = ( randu() * 20.0 ) - 10.0;
min[ i ] = ( randu() * 20.0 ) - 20.0;
max[ i ] = min[ i ] + ( randu() * 40.0 );
x[ i ] = uniform( -10.0, 10.0 );
min[ i ] = uniform( -20.0, 0.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
}

b.tic();
Expand Down
25 changes: 13 additions & 12 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/ctor/benchmark/benchmark.js
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Expand Up @@ -22,6 +22,7 @@

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/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 @@ -38,8 +39,8 @@ bench( pkg+'::instantiation', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
a = ( randu() * 10.0 ) + EPS;
b = ( randu() * 10.0 ) + a + EPS;
a = uniform( EPS, 10.0 );
b = uniform( a + EPS, a + 10.0 + EPS );
dist = new Arcsine( a, b );
if ( !( dist instanceof Arcsine ) ) {
bm.fail( 'should return a distribution instance' );
Expand Down Expand Up @@ -92,7 +93,7 @@ bench( pkg+'::set:a', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
y = ( 100.0*randu() ) + EPS;
y = uniform( EPS, 100.0 + EPS );
dist.a = y;
if ( dist.a !== y ) {
bm.fail( 'should return set value' );
Expand Down Expand Up @@ -145,7 +146,7 @@ bench( pkg+'::set:b', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
y = ( 100.0*randu() ) + a + EPS;
y = uniform( a + EPS, a + 100.0 + EPS );
dist.b = y;
if ( dist.b !== y ) {
bm.fail( 'should return set value' );
Expand All @@ -172,7 +173,7 @@ bench( pkg+':entropy', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.entropy;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -199,7 +200,7 @@ bench( pkg+':kurtosis', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.kurtosis;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -226,7 +227,7 @@ bench( pkg+':mean', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.mean;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -253,7 +254,7 @@ bench( pkg+':median', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.median;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -280,7 +281,7 @@ bench( pkg+':mode', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + 1.0 + EPS;
dist.a = uniform( 1.0 + EPS, 101.0 + EPS );
y = dist.mode;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -307,7 +308,7 @@ bench( pkg+':skewness', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.skewness;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -334,7 +335,7 @@ bench( pkg+':stdev', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.stdev;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand All @@ -361,7 +362,7 @@ bench( pkg+':variance', function benchmark( bm ) {

bm.tic();
for ( i = 0; i < bm.iterations; i++ ) {
dist.a = ( 100.0*randu() ) + EPS;
dist.a = uniform( EPS, 100.0 + EPS );
y = dist.variance;
if ( isnan( y ) ) {
bm.fail( 'should not return NaN' );
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.js
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Expand Up @@ -22,7 +22,7 @@

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var entropy = require( './../lib' );
Expand All @@ -41,8 +41,8 @@ bench( pkg, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
min[ i ] = randu() * 20.0;
max[ i ] = ( randu() * 20.0 ) + min[ i ];
min[ i ] = uniform( 0.0, 20.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
}

b.tic();
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/entropy/benchmark/benchmark.native.js
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Expand Up @@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;

Expand All @@ -50,8 +50,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
min[ i ] = randu() * 20.0;
max[ i ] = ( randu() * 20.0 ) + min[ i ];
min[ i ] = uniform( 0.0, 20.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
}

b.tic();
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.js
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Expand Up @@ -22,7 +22,7 @@

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var kurtosis = require( './../lib' );
Expand All @@ -41,8 +41,8 @@ bench( pkg, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
min[ i ] = randu() * 20.0;
max[ i ] = ( randu() * 20.0 ) + min[ i ];
min[ i ] = uniform( 0.0, 20.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
}

b.tic();
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/kurtosis/benchmark/benchmark.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;

Expand All @@ -50,8 +50,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
min[ i ] = randu() * 20.0;
max[ i ] = ( randu() * 20.0 ) + min[ i ];
min[ i ] = uniform( 0.0, 20.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 20.0 );
}

b.tic();
Expand Down
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/logcdf/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var logcdf = require( './../lib' );
Expand All @@ -38,9 +38,9 @@ bench( pkg, function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu() * 20.0 ) - 10.0;
min = ( randu() * 20.0 ) - 20.0;
max = min + ( randu() * 40.0 );
x = uniform( -10.0, 10.0 );
min = uniform( -20.0, 0.0 );
max = uniform( min, min + 40.0 );
y = logcdf( x, min, max );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down Expand Up @@ -68,7 +68,7 @@ bench( pkg+':factory', function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*2.0 ) - 2.0;
x = uniform( -2.0, 0.0 );
y = mylogcdf( x );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/logpdf/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var logpdf = require( './../lib' );
Expand All @@ -38,9 +38,9 @@ bench( pkg, function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu() * 20.0 ) - 10.0;
min = ( randu() * 20.0 ) - 20.0;
max = min + ( randu() * 40.0 );
x = uniform( -10.0, 10.0 );
min = uniform( -20.0, 0.0 );
max = uniform( min, min + 40.0 );
y = logpdf( x, min, max );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down Expand Up @@ -68,7 +68,7 @@ bench( pkg+':factory', function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*2.0 ) - 2.0;
x = uniform( -2.0, 0.0 );
y = mylogpdf( x );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/logpdf/benchmark/benchmark.native.js
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Expand Up @@ -23,7 +23,7 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand Down Expand Up @@ -52,9 +52,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
min = new Float64Array( len );
max = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
x[ i ] = ( randu() * 20.0 ) - 10.0;
min[ i ] = ( randu() * 20.0 ) - 20.0;
max[ i ] = min[ i ] + ( randu() * 40.0 );
x[ i ] = uniform( -10.0, 10.0 );
min[ i ] = uniform( -20.0, 0.0 );
max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
}

b.tic();
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/mean/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var mean = require( './../lib' );
Expand All @@ -37,8 +37,8 @@ bench( pkg, function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
min = ( randu()*10.0 );
max = ( randu()*10.0 ) + min;
min = uniform( 0.0, 10.0 );
max = uniform( min, min + 10.0 );
y = mean( min, max );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/median/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var median = require( './../lib' );
Expand All @@ -37,8 +37,8 @@ bench( pkg, function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
min = ( randu()*10.0 );
max = ( randu()*10.0 ) + min;
min = uniform( 0.0, 10.0 );
max = uniform( min, min + 10.0 );
y = median( min, max );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/mode/benchmark/benchmark.js
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Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/base/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var mode = require( './../lib' );
Expand All @@ -37,8 +37,8 @@ bench( pkg, function benchmark( b ) {

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
min = ( randu()*10.0 );
max = ( randu()*10.0 ) + min;
min = uniform( 0.0, 10.0 );
max = uniform( min, min + 10.0 );
y = mode( min, max );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
Expand Down
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