chore: update test.native.js

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Author: saurabhraghuvanshii

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

@@ -111,9 +111,15 @@ tape( 'the function evaluates the quantile function at `p` given positive `mu`',
 	c = positiveMean.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], mu[i], c[i] );
-		delta = abs( y - expected[ i ] );
-		tol = 20.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		if ( expected[i] !== null ) {
+			if ( y === expected[i] ) {
+				t.equal( y, expected[i], 'p: '+p[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
+			} else {
+				delta = abs( y - expected[ i ] );
+				tol = 20.0 * EPS * abs( expected[ i ] );
+				t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+			}
+		}
 	}
 	t.end();
 });
@@ -134,9 +140,15 @@ tape( 'the function evaluates the quantile function at `p` given negative `mu`',
 	c = negativeMean.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], mu[i], c[i] );
-		delta = abs( y - expected[ i ] );
-		tol = 350.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		if ( expected[i] !== null ) {
+			if ( y === expected[i] ) {
+				t.equal( y, expected[i], 'p: '+p[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
+			} else {
+				delta = abs( y - expected[ i ] );
+				tol = 350.0 * EPS * abs( expected[ i ] );
+				t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+			}
+		}
 	}
 	t.end();
 });
@@ -157,9 +169,15 @@ tape( 'the function evaluates the quantile function at `p` given large variance
 	c = largeVariance.c;
 	for ( i = 0; i < p.length; i++ ) {
 		y = quantile( p[i], mu[i], c[i] );
-		delta = abs( y - expected[ i ] );
-		tol = 30.0 * EPS * abs( expected[ i ] );
-		t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		if ( expected[i] !== null ) {
+			if ( y === expected[i] ) {
+				t.equal( y, expected[i], 'p: '+p[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
+			} else {
+				delta = abs( y - expected[ i ] );
+				tol = 30.0 * EPS * abs( expected[ i ] );
+				t.ok( delta <= tol, 'within tolerance. p: '+p[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+			}
+		}
 	}
 	t.end();
 });