test: address review comments

PR-URL: #9543
Closes: #5860
Co-authored-by: Athan Reines <kgryte@gmail.com>
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: daksha607

lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/test/test.native.js

@@ -22,11 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-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 NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var tryRequire = require( '@stdlib/utils/try-require' );
 
 
 // VARIABLES //
@@ -84,8 +82,6 @@ tape( 'if provided a success probability `p` outside `[0,1]`, the function retur
 
 tape( 'the function evaluates the quantile for `r` given small parameter `p`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var r;
 	var p;
 	var y;
@@ -96,21 +92,13 @@ tape( 'the function evaluates the quantile for `r` given small parameter `p`', o
 	p = smallP.p;
 	for ( i = 0; i < r.length; i++ ) {
 		y = quantile( r[i], p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. r: '+r[ i ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( y, expected[i], 'r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the quantile for `r` given large parameter `p`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var r;
 	var p;
 	var y;
@@ -121,13 +109,7 @@ tape( 'the function evaluates the quantile for `r` given large parameter `p`', o
 	p = largeP.p;
 	for ( i = 0; i < r.length; i++ ) {
 		y = quantile( r[i], p[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. r: '+r[ i ]+'. p: '+p[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( y, expected[i], 'r: '+r[i]+', p: '+p[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });