From 2b3345a9e8f755f3effd770d3f39e2399c0fd013 Mon Sep 17 00:00:00 2001
From: Claude <noreply@anthropic.com>
Date: Wed, 26 Aug 2026 14:31:41 +0000
Subject: [PATCH] test: migrate `stats/base/dists/frechet/mean` to ULP-based
 assertions

Migrate the tests for `stats/base/dists/frechet/mean` from relative
tolerance assertions to ULP difference assertions using
`@stdlib/assert/is-almost-same-value`.

Ref: https://github.com/stdlib-js/stdlib/issues/11352

Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014VYisWJoAMK8fVxSCKwkg6
---
 .../stats/base/dists/frechet/mean/test/test.js      | 13 ++-----------
 .../base/dists/frechet/mean/test/test.native.js     | 13 ++-----------
 2 files changed, 4 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.js
index 984980aca068..449189971061 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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' );
 
 
@@ -97,8 +96,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
 tape( 'the function returns the expected value of a Fréchet distribution', function test( t ) {
 	var expected;
 	var alpha;
-	var delta;
-	var tol;
 	var s;
 	var y;
 	var i;
@@ -109,13 +106,7 @@ tape( 'the function returns the expected value of a Fréchet distribution', func
 	for ( i = 0; i < alpha.length; i++ ) {
 		y = mean( alpha[i], s[i], 0.0 );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'alpha:'+alpha[i]+', s: '+s[i]+', m: 0, y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. s: '+s[i]+'. m: 0. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 3 ), true, 'returns expected value' );
 		}
 	}
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.native.js
index 4e1f0939c967..f306001d13d5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/frechet/mean/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/frechet/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 //
@@ -112,8 +111,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', opts, functio
 tape( 'the function returns the expected value of a Fréchet distribution', opts, function test( t ) {
 	var expected;
 	var alpha;
-	var delta;
-	var tol;
 	var s;
 	var y;
 	var i;
@@ -124,13 +121,7 @@ tape( 'the function returns the expected value of a Fréchet distribution', opts
 	for ( i = 0; i < alpha.length; i++ ) {
 		y = mean( alpha[i], s[i], 0.0 );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'alpha:'+alpha[i]+', s: '+s[i]+', m: 0, y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. s: '+s[i]+'. m: 0. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.strictEqual( isAlmostSameValue( y, expected[ i ], 3 ), true, 'returns expected value' );
 		}
 	}
 	t.end();