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test: migrate stats/base/dists/halfnormal/entropy to ULP-based assertions #14612

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Merged
kgryte merged 1 commit into from
Aug 25, 2026
Merged

test: migrate stats/base/dists/halfnormal/entropy to ULP-based assertions #14612

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13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,10 +21,9 @@
// 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 NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var entropy = require( './../lib' );


Expand Down Expand Up @@ -65,22 +64,14 @@ tape( 'if not provided a positive number, the function returns `NaN`', function
tape( 'the function returns the differential entropy of a half-normal distribution', function test( t ) {
var expected;
var sigma;
var delta;
var tol;
var i;
var y;

expected = data.expected;
sigma = data.sigma;
for ( i = 0; i < expected.length; i++ ) {
y = entropy( sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.5 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. 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();
});
13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,11 +22,10 @@

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 NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );


// VARIABLES //
Expand Down Expand Up @@ -74,22 +73,14 @@ tape( 'if not provided a positive number, the function returns `NaN`', opts, fun
tape( 'the function returns the differential entropy of a half-normal distribution', opts, function test( t ) {
var expected;
var sigma;
var delta;
var tol;
var i;
var y;

expected = data.expected;
sigma = data.sigma;
for ( i = 0; i < expected.length; i++ ) {
y = entropy( sigma[ i ] );
if ( y === expected[ i ] ) {
t.strictEqual( y, expected[ i ], 'sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1.5 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. 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();
});