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Merged
merged 1 commit into from
Apr 29, 2025
Merged

bench: update random value generation #6857

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38 changes: 17 additions & 21 deletions lib/node_modules/@stdlib/stats/base/dists/binomial/mgf/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var mgf = require( './../lib' );
Expand All @@ -32,26 +31,23 @@ var mgf = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var opts;
var n;
var p;
var t;
var y;
var i;

len = 100;
t = new Float64Array( len );
n = new Float64Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
t[ i ] = uniform( 0.0, 5.0 );
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
opts = {
'dtype': 'float64'
};
t = uniform( 100, 0.0, 5.0, opts );
n = discreteUniform( 100, 1, 100, opts );
p = uniform( 100, 0.0, 1.0, opts );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mgf( t[ i % len ], n[ i % len ], p[ i % len ] );
y = mgf( t[ i % t.length ], n[ i % n.length ], p[ i % p.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 mymgf;
var len;
var opts;
var n;
var p;
var t;
var y;
var i;

opts = {
'dtype': 'float64'
};
t = uniform( 100, 0.0, 5.0, opts );

n = 80;
p = 0.4;
mymgf = mgf.factory( n, p );
len = 100;
t = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
t[ i ] = uniform( 0.0, 5.0 );
}

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
30 changes: 15 additions & 15 deletions lib/node_modules/@stdlib/stats/base/dists/binomial/mgf/test/test.factory.js
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Expand Up @@ -57,23 +57,23 @@ tape( 'if provided `NaN` for any parameter, the created function returns `NaN`',

mgf = factory( 20, 0.5 );
y = mgf( NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NaN, 0.5 );
y = mgf( 0.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 20, 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 @@ -85,22 +85,22 @@ tape( 'if provided an `n` which is not a nonnegative integer, the created functi
mgf = factory( 20.5, 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( -10, 0.5 );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( PINF, 0.5 );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( NINF, 0.5 );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -112,22 +112,22 @@ tape( 'if provided a success probability `p` outside `[0,1]`, the created functi
mgf = factory( 20, 1.5 );

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( 20, -0.5 );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 20, PINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

mgf = factory( 20, NINF );
y = mgf( 2.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand Down
24 changes: 12 additions & 12 deletions lib/node_modules/@stdlib/stats/base/dists/binomial/mgf/test/test.mgf.js
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Expand Up @@ -47,31 +47,31 @@ 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 = mgf( NaN, 10, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );
y = mgf( 4.0, NaN, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );
y = mgf( 4.0, 10, NaN );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );
t.end();
});

tape( 'if provided an `n` which is not a nonnegative integer, the function returns `NaN`', function test( t ) {
var y;

y = mgf( 2.0, 1.5, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, -2, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, -1, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0, 2.5, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0, PINF, 0.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand All @@ -80,16 +80,16 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
var y;

y = mgf( 2.0, 20, -1.0 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 0.0, 20, 1.5 );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, 20, NINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

y = mgf( 2.0, 20, PINF );
t.equal( isnan( y ), true, 'returns NaN' );
t.equal( isnan( y ), true, 'returns expected value' );

t.end();
});
Expand Down
22 changes: 9 additions & 13 deletions lib/node_modules/@stdlib/stats/base/dists/binomial/mode/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,10 +21,8 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var Int32Array = require( '@stdlib/array/int32' );
var Float64Array = require( '@stdlib/array/float64' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var mode = require( './../lib' );
Expand All @@ -33,23 +31,21 @@ var mode = require( './../lib' );
// MAIN //

bench( pkg, function benchmark( b ) {
var len;
var n;
var p;
var y;
var i;

len = 100;
n = new Int32Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
n = discreteUniform( 100, 1, 100, {
'dtype': 'int32'
});
p = uniform( 100, 0.0, 1.0, {
'dtype': 'float64'
});

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mode( n[ i % len ], p[ i % len ] );
y = mode( n[ i % n.length ], p[ i % p.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/binomial/mode/benchmark/benchmark.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,11 +22,9 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Int32Array = require( '@stdlib/array/int32' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var uniform = require( '@stdlib/random/base/uniform' );
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
var uniform = require( '@stdlib/random/array/uniform' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;

Expand All @@ -42,23 +40,21 @@ var opts = {
// MAIN //

bench( pkg+'::native', opts, function benchmark( b ) {
var len;
var n;
var p;
var y;
var i;

len = 100;
n = new Int32Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
n[ i ] = discreteUniform( 1, 100 );
p[ i ] = uniform( 0.0, 1.0 );
}
n = discreteUniform( 100, 1, 100, {
'dtype': 'int32'
});
p = uniform( 100, 0.0, 1.0, {
'dtype': 'float64'
});

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = mode( n[ i % len ], p[ i % len ] );
y = mode( n[ i % n.length ], p[ i % p.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/binomial/mode/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -39,13 +39,13 @@ 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 = mode( NaN, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( 10, NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

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

t.end();
});
Expand All @@ -54,19 +54,19 @@ tape( 'if provided an `n` which is not a nonnegative integer, the function retur
var v;

v = mode( 1.5, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( -2, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( -1, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( 2.5, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( PINF, 0.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand All @@ -75,16 +75,16 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
var v;

v = mode( 20, -1.0 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( 20, 1.5 );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( 20, NINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

v = mode( 20, PINF );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );

t.end();
});
Expand Down
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