From 4fc8ac3548ac191396ea0a0b9e88321845561d26 Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Tue, 22 Sep 2026 06:27:08 +0000
Subject: [PATCH] test: migrate `stats/base/dists/uniform/median` to ULP-based
 assertions

Replace relative tolerance comparisons with `isAlmostSameValue` ULP
difference assertions in `test.js` and `test.native.js`. Both the
JavaScript and C implementations reproduce the Julia fixtures exactly,
so the minimum required ULP bound is 0.

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_01H7wkNLFGNTxtsRbFVDWC6b
---
 .../stats/base/dists/uniform/median/test/test.js    | 13 ++-----------
 .../base/dists/uniform/median/test/test.native.js   | 13 ++-----------
 2 files changed, 4 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/uniform/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/uniform/median/test/test.js
index 237c60bae3a2..5199a7d2d5b3 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/median/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 median = require( './../lib' );
 
 
@@ -72,8 +71,6 @@ tape( 'if provided `a >= b`, the function returns `NaN`', function test( t ) {
 
 tape( 'the function returns the median of a uniform distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -84,13 +81,7 @@ tape( 'the function returns the median of a uniform distribution', function test
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( 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 = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[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/uniform/median/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/uniform/median/test/test.native.js
index 48bcb0f440fa..f3097d4379a8 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/uniform/median/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/uniform/median/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 tryRequire = require( '@stdlib/utils/try-require' );
 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' );
 
 
 // FIXTURES //
@@ -83,8 +82,6 @@ tape( 'if provided `a >= b`, the function returns `NaN`', opts, function test( t
 
 tape( 'the function returns the median of a uniform distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var a;
 	var b;
 	var i;
@@ -95,13 +92,7 @@ tape( 'the function returns the median of a uniform distribution', opts, functio
 	b = data.b;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( 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 = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });