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test: migrate stats/base/dists/rayleigh/logpdf to ULP-based assertions #16294

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Merged
kgryte merged 1 commit into from
Oct 23, 2026
+4 −29
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test: migrate stats/base/dists/rayleigh/logpdf to ULP-based assertions #16294

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/test/test.logpdf.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,9 @@

var tape = require( 'tape' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
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 @@ -102,9 +101,7 @@ tape( 'if provided `sigma` equal to `0`, the function evaluates a degenerate dis

tape( 'the function evaluates the logpdf 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 @@ -115,23 +112,15 @@ tape( 'the function evaluates the logpdf for `x` given small scale parameter `si
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], sigma[i] );
if ( expected[i] !== null ) {
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 = 15.0 * 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], 24 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf 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 @@ -142,23 +131,15 @@ tape( 'the function evaluates the logpdf for `x` given medium scale parameter `s
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], sigma[i] );
if ( expected[i] !== null ) {
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 = 3.0 * 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], 2 ), true, 'returns expected value' );
}
}
t.end();
});

tape( 'the function evaluates the logpdf 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 @@ -169,13 +150,7 @@ tape( 'the function evaluates the logpdf for `x` given large scale parameter `si
for ( i = 0; i < x.length; i++ ) {
y = logpdf( x[i], sigma[i] );
if ( expected[i] !== null ) {
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 = 3.0 * 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], 2 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
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