test: migrate stats/base/dists/chi/kurtosis to ULP-based assertions

PR-URL: #15895
Reviewed-by: Athan Reines <kgryte@gmail.com>
Ref: #11352

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/chi/kurtosis/test/test.js

@@ -21,8 +21,8 @@
 // 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 NINF = require( '@stdlib/constants/float64/ninf' );
 var kurtosis = require( './../lib' );
 
@@ -63,8 +63,6 @@ tape( 'if provided a degrees of freedom parameter `k` that is not a positive num
 
 tape( 'the function returns the excess kurtosis of a chi distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -73,13 +71,7 @@ tape( 'the function returns the excess kurtosis of a chi distribution', function
 	k = data.k;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = kurtosis( k[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'k:'+k[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1e-8 * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. k: '+k[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 10909401 ), true, 'returns expected value' );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/chi/kurtosis/test/test.native.js

@@ -23,8 +23,8 @@
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+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' );
 
 
 // FIXTURES //
@@ -68,8 +68,6 @@ tape( 'if provided a non-positive `k`, the function returns `NaN`', opts, functi
 
 tape( 'the function returns the excess kurtosis of a chi distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var k;
 	var i;
 	var y;
@@ -78,13 +76,7 @@ tape( 'the function returns the excess kurtosis of a chi distribution', opts, fu
 	k = data.k;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = kurtosis( k[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'k:'+k[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1e-8 * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. k: '+k[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 10909401 ), true, 'returns expected value' );
 	}
 	t.end();
 });