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test: migrate stats/base/dists/weibull/logpdf to ULP-based assertions #15906

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Merged
kgryte merged 1 commit into from
Oct 12, 2026
Merged

test: migrate stats/base/dists/weibull/logpdf to ULP-based assertions #15906

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35 changes: 4 additions & 31 deletions lib/node_modules/@stdlib/stats/base/dists/weibull/logpdf/test/test.factory.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,12 +21,11 @@
// 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 ln = require( '@stdlib/math/base/special/ln' );
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 @@ -203,8 +202,6 @@ tape( 'the created function evaluates the logpdf for `x` given large `lambda` an
var expected;
var logpdf;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -217,13 +214,7 @@ tape( 'the created function evaluates the logpdf for `x` given large `lambda` an
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( k[i], lambda[i] );
y = logpdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -232,29 +223,19 @@ tape( 'the created function evaluates the logpdf for `x` given a large shape par
var expected;
var logpdf;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
var y;

tol = EPS;

expected = largeShape.expected;
x = largeShape.x;
lambda = largeShape.lambda;
k = largeShape.k;
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( k[i], lambda[i] );
y = logpdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -263,8 +244,6 @@ tape( 'the created function evaluates the logpdf for `x` given a large scale par
var expected;
var logpdf;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -277,13 +256,7 @@ tape( 'the created function evaluates the logpdf for `x` given a large scale par
for ( i = 0; i < x.length; i++ ) {
logpdf = factory( k[i], lambda[i] );
y = logpdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+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/weibull/logpdf/test/test.logpdf.js
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,12 +21,11 @@
// 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 ln = require( '@stdlib/math/base/special/ln' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var logpdf = require( './../lib' );


Expand Down Expand Up @@ -142,8 +141,6 @@ tape( 'if provided `0.0` for `x`, a positive `lambda` and `k` not equal to one,
tape( 'the function evaluates the logpdf for `x` given large `lambda` and `k`', function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -155,22 +152,14 @@ tape( 'the function evaluates the logpdf for `x` given large `lambda` and `k`',
k = bothLarge.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large scale parameter `lambda`', function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -182,22 +171,14 @@ tape( 'the function evaluates the logpdf for `x` given large scale parameter `la
k = largeScale.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large shape parameter `k`', function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -209,13 +190,7 @@ tape( 'the function evaluates the logpdf for `x` given large shape parameter `k`
k = largeShape.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+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/weibull/logpdf/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,12 +23,11 @@
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 ln = require( '@stdlib/math/base/special/ln' );
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 @@ -151,8 +150,6 @@ tape( 'if provided `0.0` for `x`, a positive `lambda` and `k` not equal to one,
tape( 'the function evaluates the logpdf for `x` given large `lambda` and `k`', opts, function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -164,22 +161,14 @@ tape( 'the function evaluates the logpdf for `x` given large `lambda` and `k`',
k = bothLarge.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large scale parameter `lambda`', opts, function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -191,22 +180,14 @@ tape( 'the function evaluates the logpdf for `x` given large scale parameter `la
k = largeScale.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[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 ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logpdf for `x` given large shape parameter `k`', opts, function test( t ) {
var expected;
var lambda;
var delta;
var tol;
var i;
var k;
var x;
Expand All @@ -218,13 +199,7 @@ tape( 'the function evaluates the logpdf for `x` given large shape parameter `k`
k = largeShape.k;
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], k[i], lambda[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 10.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. Expected: '+expected[i]+'. 螖: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
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