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test: migrate stats/base/dists/frechet/kurtosis to ULP-based assertions #14394

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Merged
kgryte merged 1 commit into from
Aug 19, 2026
+4 −22
Merged

test: migrate stats/base/dists/frechet/kurtosis to ULP-based assertions #14394

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13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/test/test.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 kurtosis = require( './../lib' );


Expand Down Expand Up @@ -94,11 +93,9 @@
t.end();
});

tape( 'the function returns the excess kurtosis of a Fréchet distribution', function test( t ) {

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Unknown word: "échet"
var expected;
var alpha;
var delta;
var tol;
var s;
var y;
var i;
Expand All @@ -109,13 +106,7 @@
for ( i = 0; i < alpha.length; i++ ) {
y = kurtosis( alpha[i], s[i], 0.0 );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'alpha:'+alpha[i]+', s: '+s[i]+', m: 0, y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1350.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. s: '+s[i]+'. m: 0. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1782 ), true, 'returns expected value' );
}
}
t.end();
Expand Down
13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/frechet/kurtosis/test/test.native.js
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Expand Up @@ -22,12 +22,11 @@

var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
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 @@ -109,11 +108,9 @@
t.end();
});

tape( 'the function returns the excess kurtosis of a Fréchet distribution', opts, function test( t ) {

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Unknown word: "échet"
var expected;
var alpha;
var delta;
var tol;
var s;
var y;
var i;
Expand All @@ -124,13 +121,7 @@
for ( i = 0; i < alpha.length; i++ ) {
y = kurtosis( alpha[i], s[i], 0.0 );
if ( expected[i] !== null ) {
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'alpha:'+alpha[i]+', s: '+s[i]+', m: 0, y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 1500.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. s: '+s[i]+'. m: 0. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1782 ), true, 'returns expected value' );
}
}
t.end();
Expand Down