From 550336382acc69151fd364c2e5c5a8e75d00571d Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Sun, 23 Aug 2026 02:15:56 +0000
Subject: [PATCH] test: migrate `stats/base/dists/chisquare/median` to
 ULP-based assertions

Replace the relative tolerance assertions in the fixture loop with
`@stdlib/assert/is-almost-same-value` ULP difference assertions. The ULP
bound was tightened to the measured minimum which passes over the full
fixture set (39 ULP; 38 ULP fails).

Resolves a part of #11352.

Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MAEBRF5LEKrKy5oLKGLSHB
---
 .../stats/base/dists/chisquare/median/test/test.js  | 13 ++-----------
 1 file changed, 2 insertions(+), 11 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/chisquare/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/chisquare/median/test/test.js
index da3146a975b3..9af3fc8ca1c3 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/chisquare/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/chisquare/median/test/test.js
@@ -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 NINF = require( '@stdlib/constants/float64/ninf' );
-var abs = require( '@stdlib/math/base/special/abs' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var median = require( './../lib' );
 
 
@@ -61,8 +60,6 @@ tape( 'if provided a degrees of freedom `k` that is not a nonnegative number, th
 
 tape( 'the function returns the median of chi-squared distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -71,13 +68,7 @@ tape( 'the function returns the median of chi-squared distribution', function te
 	k = data.k;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( k[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'k: '+k[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 25.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. k: '+k[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 39 ), true, 'returns expected value' );
 	}
 	t.end();
 });