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Mar 25, 2025
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chore: update random value generation and test messages #6346

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7 changes: 4 additions & 3 deletions lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var gammasgn = require( './../lib' );
Expand All @@ -34,10 +34,11 @@ bench( pkg, function benchmark( b ) {
var y;
var i;

x = uniform( 100, 0.0, 171.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu()*171.0 ) - 0.0;
y = gammasgn( x );
y = gammasgn( x[ i%x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
7 changes: 4 additions & 3 deletions lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/benchmark.native.js
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Expand Up @@ -22,7 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand All @@ -43,10 +43,11 @@ bench( pkg+'::native', opts, function benchmark( b ) {
var y;
var i;

x = uniform( 100, 0.0, 171.0 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = ( randu() * 171.0 ) - 0.0;
y = gammasgn( x );
y = gammasgn( x[ i%x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
9 changes: 6 additions & 3 deletions lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/c/native/benchmark.c
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Expand Up @@ -91,15 +91,18 @@ static double rand_double( void ) {
*/
static double benchmark( void ) {
double elapsed;
double x;
double x[ 100 ];
double y;
double t;
int i;

for ( i = 0; i < 100; i++ ) {
x[ i ] = ( 171.0 * rand_double() ) - 0.0;
}

t = tic();
for ( i = 0; i < ITERATIONS; i++ ) {
x = ( 171.0 * rand_double() ) - 0.0;
y = stdlib_base_gammasgn( x );
y = stdlib_base_gammasgn( x[ i%100 ] );
if ( y != y ) {
printf( "should not return NaN\n" );
break;
Expand Down
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/math/base/special/gammasgn/test/test.js
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Expand Up @@ -125,19 +125,19 @@ tape( 'the function computes the sign of the gamma function for medium negative

tape( 'the function returns `NaN` if provided `NaN`', function test( t ) {
var v = gammasgn( NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `+0` if provided `+0`', function test( t ) {
var v = gammasgn( +0.0 );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `+0` if provided `-0`', function test( t ) {
var v = gammasgn( -0.0 );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
t.end();
});

Expand All @@ -147,7 +147,7 @@ tape( 'the function returns `+0` if provided a negative integer', function test(

for ( i = 0; i >= -100; i-- ) {
v = gammasgn( i );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
}
t.end();
});
8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/math/base/special/gammasgn/test/test.native.js
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Expand Up @@ -134,19 +134,19 @@ tape( 'the function computes the sign of the gamma function for medium negative

tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) {
var v = gammasgn( NaN );
t.equal( isnan( v ), true, 'returns NaN' );
t.equal( isnan( v ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `+0` if provided `+0`', opts, function test( t ) {
var v = gammasgn( +0.0 );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `+0` if provided `-0`', opts, function test( t ) {
var v = gammasgn( -0.0 );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
t.end();
});

Expand All @@ -156,7 +156,7 @@ tape( 'the function returns `+0` if provided a negative integer', opts, function

for ( i = 0; i >= -100; i-- ) {
v = gammasgn( i );
t.equal( isPositiveZero( v ), true, 'returns 0' );
t.equal( isPositiveZero( v ), true, 'returns expected value' );
}
t.end();
});
38 changes: 21 additions & 17 deletions lib/node_modules/@stdlib/math/base/special/kernel-betainc/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/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 @@ -37,13 +37,14 @@
var b;
var i;

x = uniform( 100, 0.0, 1.0 );
a = uniform( 100, EPS, 1000.0 );
b = uniform( 100, EPS, 1000.0 );

out = [ 0.0, 0.0 ];
assert.tic();
for ( i = 0; i < assert.iterations; i++ ) {
x = randu();
a = ( randu()*1000.0 ) + EPS;
b = ( randu()*1000.0 ) + EPS;
out = kernelBetainc( x, a, b, true, true, out, 1, 0 );
out = kernelBetainc( x[ i%x.length ], a[ i%a.length ], b[ i%b.length ], true, true, out, 1, 0 );

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if ( isnan( out[ 0 ] ) || isnan( out[ 1 ] ) ) {
assert.fail( 'should not return NaN' );
}
Expand All @@ -63,13 +64,14 @@
var b;
var i;

x = uniform( 100, 0.0, 1.0 );
a = uniform( 100, EPS, 1000.0 );
b = uniform( 100, EPS, 1000.0 );

out = [ 0.0, 0.0 ];
assert.tic();
for ( i = 0; i < assert.iterations; i++ ) {
x = randu();
a = ( randu()*1000.0 ) + EPS;
b = ( randu()*1000.0 ) + EPS;
out = kernelBetainc( x, a, b, false, true, out, 1, 0 );
out = kernelBetainc( x[ i%x.length ], a[ i%a.length ], b[ i%b.length ], false, true, out, 1, 0 );

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if ( isnan( out[ 0 ] ) || isnan( out[ 1 ] ) ) {
assert.fail( 'should not return NaN' );
}
Expand All @@ -89,13 +91,14 @@
var b;
var i;

x = uniform( 100, 0.0, 1.0 );
a = uniform( 100, EPS, 1000.0 );
b = uniform( 100, EPS, 1000.0 );

out = [ 0.0, 0.0 ];
assert.tic();
for ( i = 0; i < assert.iterations; i++ ) {
x = randu();
a = ( randu()*1000.0 ) + EPS;
b = ( randu()*1000.0 ) + EPS;
out = kernelBetainc( x, a, b, true, false, out, 1, 0 );
out = kernelBetainc( x[ i%x.length ], a[ i%a.length ], b[ i%b.length ], true, false, out, 1, 0 );

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This line has a length of 105. Maximum allowed is 80
if ( isnan( out[ 0 ] ) || isnan( out[ 1 ] ) ) {
assert.fail( 'should not return NaN' );
}
Expand All @@ -115,13 +118,14 @@
var b;
var i;

x = uniform( 100, 0.0, 1.0 );
a = uniform( 100, EPS, 1000.0 );
b = uniform( 100, EPS, 1000.0 );

out = [ 0.0, 0.0 ];
assert.tic();
for ( i = 0; i < assert.iterations; i++ ) {
x = randu();
a = ( randu()*1000.0 ) + EPS;
b = ( randu()*1000.0 ) + EPS;
out = kernelBetainc( x, a, b, false, false, out, 1, 0 );
out = kernelBetainc( x[ i%x.length ], a[ i%a.length ], b[ i%b.length ], false, false, out, 1, 0 );

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if ( isnan( out[ 0 ] ) || isnan( out[ 1 ] ) ) {
assert.fail( 'should not return NaN' );
}
Expand Down
42 changes: 21 additions & 21 deletions lib/node_modules/@stdlib/math/base/special/kernel-betainc/test/test.js
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Expand Up @@ -36,74 +36,74 @@

tape( 'the function returns `[ NaN, NaN ]` if `x` is outside `[0,1]`', function test( t ) {
var val = kernelBetainc( -0.2, 1.0, 1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( -0.2, 1.0, 1.0, false, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( -0.2, 1.0, 1.0, true, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( -0.2, 1.0, 1.0, false, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 1.1, 1.0, 1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 1.1, 1.0, 1.0, false, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 1.1, 1.0, 1.0, false, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 1.1, 1.0, 1.0, true, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

t.end();
});

tape( 'the function returns `[ NaN, NaN ]` if `x` is `NaN`', function test( t ) {
var val = kernelBetainc( NaN, 1.0, 1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `[ NaN, NaN ]` if negative `a` or `b`', function test( t ) {
var val = kernelBetainc( 0.5, -1.0, 1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, 1.0, false, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, 1.0, true, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, 1.0, false, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, 1.0, -1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, 1.0, -1.0, false, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, 1.0, -1.0, true, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, 1.0, -1.0, false, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, -1.0, true, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, -1.0, false, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, -1.0, false, true );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

val = kernelBetainc( 0.5, -1.0, -1.0, true, false );
t.equal( isNaNArray( val ), true, 'returns array of NaNs' );
t.equal( isNaNArray( val ), true, 'returns expected value' );

t.end();
});
Expand All @@ -122,4 +122,4 @@
t.end();
});

// TODO: Add fixtures

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Unexpected 'todo' comment: 'TODO: Add fixtures'
11 changes: 6 additions & 5 deletions lib/node_modules/@stdlib/math/base/special/kernel-betaincinv/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/array/uniform' );
var isNumberArray = require( '@stdlib/assert/is-number-array' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
Expand All @@ -37,12 +37,13 @@
var b;
var i;

p = uniform( 100, 0.0, 1.0 );
a = uniform( 100, EPS, 1000.0 );
b = uniform( 100, EPS, 1000.0 );

assert.tic();
for ( i = 0; i < assert.iterations; i++ ) {
p = randu();
a = ( randu()*1000.0 ) + EPS;
b = ( randu()*1000.0 ) + EPS;
y = kernelBetaincinv( a, b, p, 1.0-p );
y = kernelBetaincinv( a[ i%a.length ], b[ i%b.length ], p[ i%p.length ], 1.0-p );

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This line has a length of 89. Maximum allowed is 80
if ( !isNumberArray( y ) ) {
assert.fail( 'should return an array of numbers' );
}
Expand Down
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/math/base/special/lcm/benchmark/benchmark.js
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Expand Up @@ -21,8 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pkg = require( './../package.json' ).name;
var lcm = require( './../lib' );
Expand All @@ -36,11 +35,12 @@ bench( pkg, function benchmark( b ) {
var z;
var i;

x = discreteUniform( 100, 0, 50 );
y = discreteUniform( 100, 0, 50 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = round( randu()*50.0 );
y = round( randu()*50.0 );
z = lcm( x, y );
z = lcm( x[ i%x.length ], y[ i%y.length ] );
if ( isnan( z ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
10 changes: 5 additions & 5 deletions lib/node_modules/@stdlib/math/base/special/lcm/benchmark/benchmark.native.js
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Expand Up @@ -22,8 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/random/base/randu' );
var round = require( '@stdlib/math/base/special/round' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
Expand All @@ -45,11 +44,12 @@ bench( pkg+'::native', opts, function benchmark( b ) {
var z;
var i;

x = discreteUniform( 100, 0, 50 );
y = discreteUniform( 100, 0, 50 );

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
x = round( randu() * 50.0 );
y = round( randu() * 50.0 );
z = lcm( x, y );
z = lcm( x[ i%x.length ], y[ i%y.length ] );
if ( isnan( z ) ) {
b.fail( 'should not return NaN' );
}
Expand Down
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