From 305fa983262ed6e5ede8cdbd137268ea66c04fd2 Mon Sep 17 00:00:00 2001
From: Athan Reines <kgryte+claude@gmail.com>
Date: Wed, 26 Aug 2026 10:29:10 +0000
Subject: [PATCH] test: migrate `stats/base/dists/gumbel/median` to ULP-based
 assertions

Migrate the JavaScript and native test suites from relative tolerance
assertions to ULP difference assertions using
`@stdlib/assert/is-almost-same-value`.

The measured maximum ULP difference across the fixture set is `0` for
both the JavaScript and native implementations, so the tests assert a
maximum allowed difference of `0` ULP.

Resolves a part of #11352.

Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01M4tVv8pEgy2wh9DZoqWqFp
---
 .../stats/base/dists/gumbel/median/test/test.js   | 13 ++-----------
 .../base/dists/gumbel/median/test/test.native.js  | 15 +++------------
 2 files changed, 5 insertions(+), 23 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.js
index d5705d19063c..db864245a18c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/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 median = require( './../lib' );
 
 
@@ -76,9 +75,7 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', function t
 
 tape( 'the function returns the median of a Gumbel distribution', function test( t ) {
 	var expected;
-	var delta;
 	var beta;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -89,13 +86,7 @@ tape( 'the function returns the median of a Gumbel distribution', function test(
 	for ( i = 0; i < mu.length; i++ ) {
 		y = median( mu[i], beta[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. beta: '+beta[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/gumbel/median/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.native.js
index 682be826b228..023672054a04 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.native.js
@@ -22,12 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
+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 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' );
 
 
 // FIXTURES //
@@ -85,9 +84,7 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', opts, func
 
 tape( 'the function returns the median of a Gumbel distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var beta;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -97,14 +94,8 @@ tape( 'the function returns the median of a Gumbel distribution', opts, function
 	beta = data.beta;
 	for ( i = 0; i < mu.length; i++ ) {
 		y = median( mu[i], beta[i] );
-		if ( expected[i] !== null) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+		if ( expected[i] !== null ) {
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 		}
 	}
 	t.end();