From 34d0ec801eb7254fa5136339449891fdb34abd11 Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Mon, 24 Aug 2026 14:30:21 +0000
Subject: [PATCH] test: migrate `stats/base/dists/erlang/mean` to ULP-based
 assertions

Replace the relative-tolerance comparison (and its exact-equality
fast-path branch) in the fixture loop with an `isAlmostSameValue`
assertion using a bound of 1 ULP, which is the minimum integer bound
which passes over the full fixture set for both the JavaScript and
native implementations.

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

diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.js
index 2f2dc929c212..2fff7aef03be 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/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 mean = require( './../lib' );
 
 
@@ -106,8 +105,6 @@ tape( 'if provided `lambda <= 0`, the function returns `NaN`', function test( t
 tape( 'the function returns the mean of an Erlang distribution', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -117,13 +114,7 @@ tape( 'the function returns the mean of an Erlang distribution', function test(
 	lambda = data.lambda;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( k[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'k: '+k[i]+', lambda: '+lambda[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. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.native.js
index 27a91aa421b6..b63b16c5ff78 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/erlang/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/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 //
@@ -109,8 +108,6 @@ tape( 'if provided `lambda <= 0`, the function returns `NaN`', opts, function te
 tape( 'the function returns the mean of an Erlang distribution', opts, function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -120,13 +117,7 @@ tape( 'the function returns the mean of an Erlang distribution', opts, function
 	lambda = data.lambda;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = mean( k[i], lambda[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'k: '+k[i]+', lambda: '+lambda[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. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
 	}
 	t.end();
 });