From 803e76f9eebae5ee82f3961ac8cb1934ebec53ed Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Fri, 21 Aug 2026 10:16:57 +0000
Subject: [PATCH] test: migrate `stats/base/dists/normal/mean` to ULP-based
 assertions

Replace computed relative-tolerance comparisons with `isAlmostSameValue`
ULP-based assertions in the fixture loops.

Both the JavaScript and the C implementations return `mu` verbatim, so
every fixture value matches the Julia reference exactly. The measured
minimum bound is thus 0 ULP for both test.js and test.native.js, which
is the tightest bound expressible.

Ref: https://github.com/stdlib-js/stdlib/issues/11352
---
 .../stats/base/dists/normal/mean/test/test.js       | 13 ++-----------
 .../base/dists/normal/mean/test/test.native.js      | 13 ++-----------
 2 files changed, 4 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/normal/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/normal/mean/test/test.js
index 2091e9fb9aaf..7d84f9f707e4 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/normal/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/normal/mean/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 mean = require( './../lib' );
 
 
@@ -76,9 +75,7 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function
 
 tape( 'the function returns the expected value of a normal distribution', function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -89,13 +86,7 @@ tape( 'the function returns the expected value of a normal distribution', functi
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mean( mu[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[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. mu: '+mu[i]+'. sigma: '+sigma[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/normal/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/normal/mean/test/test.native.js
index a6e19a8f9dcc..75dc7336f841 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/normal/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/normal/mean/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 `sigma`, the function returns `NaN`', opts, fun
 
 tape( 'the function returns the expected value of a normal distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -98,13 +95,7 @@ tape( 'the function returns the expected value of a normal distribution', opts,
 	for ( i = 0; i < mu.length; i++ ) {
 		y = mean( mu[i], sigma[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'mu:'+mu[i]+', sigma: '+sigma[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. mu: '+mu[i]+'. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 		}
 	}
 	t.end();