From cf0831f79af9e10c01380c82055824c2d8342e3a Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Tue, 22 Sep 2026 10:25:46 +0000
Subject: [PATCH] test: migrate `stats/incr/mrmse` to ULP-based assertions

Replaces the relative tolerance (`EPS`-scaled) assertion in the moving
RMSE accumulator test with a ULP-based assertion using
`@stdlib/assert/is-almost-same-value`, and drops the now unused `abs`
and `EPS` requires.

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_01HQgrpZaysJsUnYF5azzXaB
---
 .../@stdlib/stats/incr/mrmse/test/test.js         | 15 +++------------
 1 file changed, 3 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/incr/mrmse/test/test.js b/lib/node_modules/@stdlib/stats/incr/mrmse/test/test.js
index 5445385660a0..e1ec5c87a08e 100644
--- a/lib/node_modules/@stdlib/stats/incr/mrmse/test/test.js
+++ b/lib/node_modules/@stdlib/stats/incr/mrmse/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 abs = require( '@stdlib/math/base/special/abs' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var incrmrmse = require( './../lib' );
 
 
@@ -74,10 +73,8 @@ tape( 'the function returns an accumulator function', function test( t ) {
 tape( 'the accumulator function computes a moving root mean squared error incrementally', function test( t ) {
 	var expected;
 	var actual;
-	var delta;
 	var data;
 	var acc;
-	var tol;
 	var N;
 	var i;
 
@@ -102,14 +99,8 @@ tape( 'the accumulator function computes a moving root mean squared error increm
 		sqrt( 154.0/3.0 )
 	];
 	for ( i = 0; i < N; i++ ) {
-		actual = acc( data[i][0], data[i][1] );
-		if ( actual === expected[i] ) {
-			t.strictEqual( actual, expected[i], 'returns expected value' );
-		} else {
-			delta = abs( expected[i] - actual );
-			tol = 1.0 * EPS * abs( expected[i] );
-			t.strictEqual( delta <= tol, true, 'within tolerance. Actual: '+actual+'. Expected: '+expected[i]+'. Delta: '+delta+'. Tol: '+tol+'.' );
-		}
+		actual = acc( data[ i ][ 0 ], data[ i ][ 1 ] );
+		t.strictEqual( isAlmostSameValue( actual, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });