test: migrate stats/base/dists/weibull/stdev to ULP-based assertions

Ref: #11352

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---

Author: claude

lib/node_modules/@stdlib/stats/base/dists/weibull/stdev/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 stdev = require( './../lib' );
 
 
@@ -97,8 +96,6 @@ tape( 'if provided `lambda <= 0`, the function returns `NaN`', function test( t
 tape( 'the function returns the standard deviation of a Weibull distribution', function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -108,13 +105,7 @@ tape( 'the function returns the standard deviation of a Weibull distribution', f
 	lambda = data.lambda;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( 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 = 170.0 * 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 ], 277 ), true, 'returns expected value' );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/weibull/stdev/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 abs = require( '@stdlib/math/base/special/abs' );
 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' );
 
 
 // VARIABLES //
@@ -106,8 +105,6 @@ tape( 'if provided `lambda <= 0`, the function returns `NaN`', opts, function te
 tape( 'the function returns the standard deviation of a Weibull distribution', opts, 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 standard deviation of a Weibull distribution', o
 	lambda = data.lambda;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = stdev( 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 = 180.0 * 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 ], 277 ), true, 'returns expected value' );
 	}
 	t.end();
 });