From 4648d6ab86a15fc2f8aaf27fc6a1e6ee80a4ad84 Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Mon, 19 Oct 2026 18:14:20 +0000
Subject: [PATCH] test: migrate `stats/incr/mmeanstdev` to ULP-based assertions

Replace the computed relative-tolerance check for the corrected sample
standard deviation with an ULP-based assertion using
`@stdlib/assert/is-almost-same-value`, matching the idiom already used by
`stats/incr/mmeanvar`.

The accumulator returns a bit-exact result for the tested fixture, so the
assertion uses the tightest possible bound of 0 ULP.

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_016oJTUWCKBJSXet2RvURwjB
---
 .../@stdlib/stats/incr/mmeanstdev/test/test.js           | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/incr/mmeanstdev/test/test.js b/lib/node_modules/@stdlib/stats/incr/mmeanstdev/test/test.js
index a760f026e4bc..7dcf1a84c9e2 100644
--- a/lib/node_modules/@stdlib/stats/incr/mmeanstdev/test/test.js
+++ b/lib/node_modules/@stdlib/stats/incr/mmeanstdev/test/test.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var randu = require( '@stdlib/random/base/randu' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var incrmmeanstdev = require( './../lib' );
 
 
@@ -229,9 +228,7 @@ tape( 'the accumulator function computes a moving arithmetic mean and corrected
 tape( 'if not provided an input value, the accumulator function returns the current arithmetic mean and corrected sample standard deviation', function test( t ) {
 	var expected;
 	var actual;
-	var delta;
 	var data;
-	var tol;
 	var acc;
 	var i;
 
@@ -249,9 +246,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
 
 	t.strictEqual( actual[ 0 ], expected[ 0 ], 'returns expected value' );
 
-	delta = abs( actual[ 1 ] - expected[ 1 ] );
-	tol = EPS * expected[ 1 ];
-	t.strictEqual( delta < tol, true, 'expected: '+expected[ 1 ]+'. actual: '+actual+'. tol: '+tol+'. delta: '+delta+'.' );
+	t.strictEqual( isAlmostSameValue( actual[ 1 ], expected[ 1 ], 0 ), true, 'returns expected value' );
 
 	t.end();
 });