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test: migrate stats/base/dists/levy/logpdf to ULP-based assertions #14393

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kgryte merged 3 commits into from
Aug 19, 2026
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test: migrate stats/base/dists/levy/logpdf to ULP-based assertions #14393

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42b0a39
test: migrate `stats/base/dists/levy/logpdf` to ULP-based assertions
claude Aug 18, 2026
37157d3
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kgryte Aug 19, 2026
202c03e
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kgryte Aug 19, 2026
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36 changes: 6 additions & 30 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logpdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,8 @@
// 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' );
Expand Down Expand Up @@ -145,8 +145,6 @@ tape( 'if provided a nonpositive `c`, the created function always returns `NaN`'
tape( 'the created function evaluates the logpdf for `x` given positive `mu`', function test( t ) {
var expected;
var logpdf;
var delta;
var tol;
var mu;
var c;
var x;
Expand All @@ -160,14 +158,8 @@ tape( 'the created function evaluates the logpdf for `x` given positive `mu`', f
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( mu[i], c[i] );
y = logpdf( x[i] );
if ( expected[i] !== null && !(expected[i] === 0.0 && y < EPS ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === 0.0 && y < EPS ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
Expand All @@ -176,8 +168,6 @@ tape( 'the created function evaluates the logpdf for `x` given positive `mu`', f
tape( 'the created function evaluates the logpdf for `x` given negative `mu`', function test( t ) {
var expected;
var logpdf;
var delta;
var tol;
var mu;
var c;
var x;
Expand All @@ -191,14 +181,8 @@ tape( 'the created function evaluates the logpdf for `x` given negative `mu`', f
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( mu[i], c[i] );
y = logpdf( x[i] );
if ( expected[i] !== null && !(expected[i] === 0.0 && y < EPS ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === 0.0 && y < EPS ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
Expand All @@ -207,8 +191,6 @@ tape( 'the created function evaluates the logpdf for `x` given negative `mu`', f
tape( 'the created function evaluates the logpdf for `x` given large variance ( = large `c`)', function test( t ) {
var expected;
var logpdf;
var delta;
var tol;
var mu;
var c;
var x;
Expand All @@ -223,13 +205,7 @@ tape( 'the created function evaluates the logpdf for `x` given large variance (
logpdf = factory( mu[i], c[i] );
y = logpdf( x[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
36 changes: 6 additions & 30 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logpdf/test/test.logpdf.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,8 @@
// 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' );
Expand Down Expand Up @@ -104,8 +104,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', function test

tape( 'the function evaluates the logpdf for `x` given positive `mu`', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -118,23 +116,15 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', function
c = positiveMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null && !(expected[i] === 0.0 && y < EPS ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === 0.0 && y < EPS ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given negative `mu`', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -147,23 +137,15 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', function
c = negativeMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null && !(expected[i] === 0.0 && y < EPS ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === 0.0 && y < EPS ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large variance ( = large `c` )', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -177,13 +159,7 @@ tape( 'the function evaluates the logpdf for `x` given large variance ( = large
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
37 changes: 6 additions & 31 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logpdf/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,10 @@
var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var tryRequire = require( '@stdlib/utils/try-require' );
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' );


// FIXTURES //
Expand Down Expand Up @@ -104,8 +103,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, functio

tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -118,23 +115,15 @@ tape( 'the function evaluates the logpdf for `x` given positive `mu`', opts, fun
c = positiveMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null && !(expected[i] === NINF && y === NINF ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === NINF && y === NINF ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -147,23 +136,15 @@ tape( 'the function evaluates the logpdf for `x` given negative `mu`', opts, fun
c = negativeMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null && !(expected[i] === NINF && y === NINF ) ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
if ( expected[i] !== null && !( expected[i] === NINF && y === NINF ) ) {
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large variance ( = large `c` )', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var x;
var c;
Expand All @@ -177,13 +158,7 @@ tape( 'the function evaluates the logpdf for `x` given large variance ( = large
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], mu[i], c[i] );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 2.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
}
t.end();
Expand Down