fix: update tests

Author: ShabiShett07

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.js

@@ -21,15 +21,19 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var randu = require( '@stdlib/random/base/randu' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
 var variance = require( './../lib' );
 
 
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
@@ -103,17 +107,26 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test
 });
 
 tape( 'the function returns the variance of a Kumaraswamy\'s double bounded distribution', function test( t ) {
+	var expected;
+	var delta;
+	var tol;
 	var a;
 	var b;
 	var i;
 	var y;
 
-	// TODO: Add fixtures
-	for ( i = 0; i < 100; i++ ) {
-		a = ( randu()*5.0 ) + EPS;
-		b = ( randu()*5.0 ) + EPS;
-		y = variance( a, b );
-		t.equal( isNumber( y ), true, 'returns a number' );
+	expected = data.expected;
+	a = data.a;
+	b = data.b;
+	for ( i = 0; i < expected.length; i++ ) {
+		y = variance( a[i], b[i] );
+		if ( y === expected[i] ) {
+			t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 15000.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/variance/test/test.native.js

@@ -26,6 +26,8 @@ var tryRequire = require( '@stdlib/utils/try-require' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
 
 
 // FIXTURES //
@@ -115,18 +117,24 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio
 
 tape( 'the function returns the variance of a Kumaraswamy\'s double bounded distribution', opts, function test( t ) {
 	var expected;
+	var delta;
+	var tol;
 	var a;
 	var b;
-	var y;
 	var i;
+	var y;
 
 	expected = data.expected;
 	a = data.a;
 	b = data.b;
-	for ( i in a ) {
-		if (Object.prototype.hasOwnProperty.call(a, i)) {
-			y = variance( a[i], b[i] );
-			t.equal( y, expected[i], 'a :'+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
+	for ( i = 0; i < expected.length; i++ ) {
+		y = variance( a[i], b[i] );
+		if ( y === expected[i] ) {
+			t.equal( y, expected[i], 'a: '+a[i]+', b: '+b[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 15000.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. a: '+a[i]+'. b: '+b[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
 	t.end();