test: migrate stats/base/dists/beta/entropy to ULP-based assertions

PR-URL: #14558
Reviewed-by: Athan Reines <kgryte@gmail.com>
Ref: #11352

Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/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 entropy = require( './../lib' );
 
 
@@ -96,10 +95,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', function test( t )
 
 tape( 'the function returns the differential entropy of a beta distribution', function test( t ) {
 	var expected;
-	var delta;
 	var alpha;
 	var beta;
-	var tol;
 	var i;
 	var y;
 
@@ -108,13 +105,7 @@ tape( 'the function returns the differential entropy of a beta distribution', fu
 	beta = data.beta;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = entropy( alpha[i], beta[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 250.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 384 ), true, 'returns expected value' );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/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 isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-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 //
@@ -105,10 +104,8 @@ tape( 'if provided `beta <= 0`, the function returns `NaN`', opts, function test
 
 tape( 'the function returns the differential entropy of a beta distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var alpha;
 	var beta;
-	var tol;
 	var i;
 	var y;
 
@@ -117,13 +114,7 @@ tape( 'the function returns the differential entropy of a beta distribution', op
 	beta = data.beta;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = entropy( alpha[i], beta[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'alpha: '+alpha[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 250.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. alpha: '+alpha[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 384 ), true, 'returns expected value' );
 	}
 	t.end();
 });