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test: migrate stats/base/dists/rayleigh/logcdf to ULP-based assertions #14322

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Merged
kgryte merged 1 commit into from
Aug 16, 2026
Merged

test: migrate stats/base/dists/rayleigh/logcdf to ULP-based assertions #14322

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var factory = require( './../lib/factory.js' );


Expand Down Expand Up @@ -127,9 +126,7 @@ tape( 'if `sigma` equals `0`, the created function evaluates a degenerate distri
tape( 'the created function evaluates the logcdf for `x` given small scale parameter `sigma`', function test( t ) {
var expected;
var logcdf;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -140,23 +137,15 @@ tape( 'the created function evaluates the logcdf for `x` given small scale param
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( sigma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given medium scale parameter `sigma`', function test( t ) {
var expected;
var logcdf;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -167,23 +156,15 @@ tape( 'the created function evaluates the logcdf for `x` given medium scale para
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( sigma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given large scale parameter `sigma`', function test( t ) {
var expected;
var logcdf;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -194,13 +175,7 @@ tape( 'the created function evaluates the logcdf for `x` given large scale param
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( sigma[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/test/test.logcdf.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,11 +21,10 @@
// MODULES //

var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var logcdf = require( './../lib' );


Expand Down Expand Up @@ -93,9 +92,7 @@ tape( 'if provided `sigma` equals `0`, the function evaluates a degenerate distr

tape( 'the function evaluates the logcdf for `x` given small scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -105,22 +102,14 @@ tape( 'the function evaluates the logcdf for `x` given small scale parameter `si
sigma = smallScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given medium scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -130,22 +119,14 @@ tape( 'the function evaluates the logcdf for `x` given medium scale parameter `s
sigma = mediumScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given large scale parameter `sigma`', function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -155,13 +136,7 @@ tape( 'the function evaluates the logcdf for `x` given large scale parameter `si
sigma = largeScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/test/test.native.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,12 +22,11 @@

var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var tryRequire = require( '@stdlib/utils/try-require' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );


// FIXTURES //
Expand Down Expand Up @@ -102,9 +101,7 @@ tape( 'if provided `sigma` equals `0`, the function evaluates a degenerate distr

tape( 'the function evaluates the logcdf for `x` given small scale parameter `sigma`', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -114,22 +111,14 @@ tape( 'the function evaluates the logcdf for `x` given small scale parameter `si
sigma = smallScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given medium scale parameter `sigma`', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -139,22 +128,14 @@ tape( 'the function evaluates the logcdf for `x` given medium scale parameter `s
sigma = mediumScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given large scale parameter `sigma`', opts, function test( t ) {
var expected;
var delta;
var sigma;
var tol;
var i;
var x;
var y;
Expand All @@ -164,13 +145,7 @@ tape( 'the function evaluates the logcdf for `x` given large scale parameter `si
sigma = largeScale.sigma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], sigma[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
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