From 3518a7d82fa34d5a38cf1a1a12bc8f110e308fc0 Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Mon, 5 Oct 2026 14:32:33 +0000
Subject: [PATCH] test: migrate `stats/base/dists/geometric/kurtosis` to
 ULP-based assertions

Replace relative tolerance comparisons with `isAlmostSameValue` ULP
difference assertions in both the JavaScript and native test suites. The
measured minimum ULP bound over the full 1000-element Julia fixture set is
`0` 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_01UKXg9xt5vVqACoGUcUUVdh
---
 .../base/dists/geometric/kurtosis/test/test.js      | 13 ++-----------
 .../dists/geometric/kurtosis/test/test.native.js    | 13 ++-----------
 2 files changed, 4 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.js
index 9776289c051f..a62a7a7ee87f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.js
@@ -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' );
 
 
@@ -68,8 +67,6 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
 
 tape( 'the function returns the excess kurtosis of a geometric distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var i;
 	var p;
 	var y;
@@ -78,13 +75,7 @@ tape( 'the function returns the excess kurtosis of a geometric distribution', fu
 	p = data.p;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = kurtosis( p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'p: '+p[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. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.native.js
index acfc29bfd8ba..41e4fa5633e2 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/geometric/kurtosis/test/test.native.js
@@ -23,11 +23,10 @@
 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 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' );
 
 
 // VARIABLES //
@@ -77,8 +76,6 @@ tape( 'if provided a success probability `p` outside of `[0,1]`, the function re
 
 tape( 'the function returns the excess kurtosis of a geometric distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var i;
 	var p;
 	var y;
@@ -87,13 +84,7 @@ tape( 'the function returns the excess kurtosis of a geometric distribution', op
 	p = data.p;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = kurtosis( p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'p: '+p[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. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });