edited

Author: jalajk3004

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

@@ -36,29 +36,29 @@ var largeP = require( './fixtures/julia/large_p.json' );
 
 // TESTS //
 
-tape( 'main export is a function', function test( t ) {
+tape( 'main export is a function', opts, function test( t ) {
 	t.ok( true, __filename );
 	t.strictEqual( typeof quantile, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
 	var y = quantile( NaN, 1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	y = quantile( 0.0, NaN );
 	t.equal( isnan( y ), true, 'returns NaN' );
 	t.end();
 });
 
-tape( 'if provided a number outside `[0,1]` for `r` and a valid `p`, the function returns `NaN`', function test( t ) {
+tape( 'if provided a number outside `[0,1]` for `r` and a valid `p`, the function returns `NaN`', opts, function test( t ) {
 	var y = quantile( 2.2, 0.8 );
 	t.equal( isnan( y ), true, 'returns true' );
 	y = quantile( -0.2, 0.8 );
 	t.equal( isnan( y ), true, 'returns true' );
 	t.end();
 });
 
-tape( 'if provided a success probability `p` outside `[0,1]`, the function returns `NaN`', function test( t ) {
+tape( 'if provided a success probability `p` outside `[0,1]`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = quantile( 0.8, 1.5 );
@@ -73,52 +73,28 @@ tape( 'if provided a success probability `p` outside `[0,1]`, the function retur
 	t.end();
 });
 
-tape( 'the function evaluates the quantile for `r` given small parameter `p`', function test( t ) {
-	var expected;
-	var delta;
-	var tol;
-	var r;
-	var p;
-	var y;
-	var i;
-
-	expected = smallP.expected;
-	r = smallP.r;
-	p = smallP.p;
-	for ( i = 0; i < r.length; i++ ) {
-		y = quantile( r[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( 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.end();
+tape( 'the function evaluates the quantile for `r` given small parameter `p`', opts, function test( t ) {
+    var expected = smallP.expected;
+    var r = smallP.r;
+    var p = smallP.p;
+    var y;
+    
+    for ( var i = 0; i < r.length; i++ ) {
+        y = quantile( r[i], p[i] );
+        t.equal( 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`', function test( t ) {
-	var expected;
-	var delta;
-	var tol;
-	var r;
-	var p;
-	var y;
-	var i;
-
-	expected = largeP.expected;
-	r = largeP.r;
-	p = largeP.p;
-	for ( i = 0; i < r.length; i++ ) {
-		y = quantile( r[i], p[i] );
-		if ( y === expected[i] ) {
-			t.equal( 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.end();
-});
+tape( 'the function evaluates the quantile for `r` given large parameter `p`', opts, function test( t ) {
+    var expected = largeP.expected;
+    var r = largeP.r;
+    var p = largeP.p;
+    var y;
+    
+    for ( var i = 0; i < r.length; i++ ) {
+        y = quantile( r[i], p[i] );
+        t.equal( y, expected[i], 'r: ' + r[i] + ', p: ' + p[i] + ', y: ' + y + ', expected: ' + expected[i] );
+    }
+    t.end();
+});