From 42800741653742eb14416ccd6bfda9da138ab7a6 Mon Sep 17 00:00:00 2001
From: Athan Reines <kgryte@gmail.com>
Date: Tue, 11 Aug 2026 06:34:30 +0000
Subject: [PATCH] test: migrate `stats/base/dists/kumaraswamy/mean` to
 ULP-based assertions

Replaces the relative-tolerance (EPS-scaled) fixture assertions with
ULP-based assertions using `@stdlib/assert/is-almost-same-value`. The
ULP bound (23) is the measured minimum over the full fixture set for
both the JavaScript and C implementations.

Ref: https://github.com/stdlib-js/stdlib/issues/11352

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011kRFyjEkPrJBc266uFCr7p
---
 .../stats/base/dists/kumaraswamy/mean/test/test.js  | 13 ++-----------
 .../base/dists/kumaraswamy/mean/test/test.native.js | 13 ++-----------
 2 files changed, 4 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.js
index 7d3ad4c0b717..6a58dfa0d743 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 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 PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var mean = require( './../lib' );
 
 
@@ -105,8 +104,6 @@ tape( 'if provided `b <= 0`, the function returns `NaN`', function test( t ) {
 
 tape( 'the function returns the expected value of a Kumaraswamy\'s double bounded distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -118,13 +115,7 @@ tape( 'the function returns the expected value of a Kumaraswamy\'s double bounde
 
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i]+', Δ: '+delta+', tol: '+tol );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 23 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.native.js
index 11b3908a983f..64e79c79c185 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/test/test.native.js
@@ -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 //
@@ -117,8 +116,6 @@ tape( 'if provided `b <= 0`, the function returns `NaN`', opts, function test( t
 
 tape( 'the function returns the expected value of a Kumaraswamy\'s double bounded distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -130,13 +127,7 @@ tape( 'the function returns the expected value of a Kumaraswamy\'s double bounde
 
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( a[i], b[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i]+', Δ: '+delta+', tol: '+tol );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 23 ), true, 'returns expected value' );
 	}
 	t.end();
 });