def test_contains(self):
i = Interval()
self.assertTrue(0 not in i)
i = Interval((0, 1), (2, np.inf))
self.assertTrue(0 in i)
self.assertTrue(1.2 not in i)
self.assertTrue(100 in i)
def test_init(self):
i = Interval()
self.assertEqual(i.borders, [])
i = Interval(0, 1)
self.assertEqual(i.borders, [(0, 1)])
i = Interval((0, 1), (0.5, 2))
self.assertEqual(i.borders, [(0, 2)])
i = Interval((0, 1), (2, np.inf))
self.assertEqual(i.borders, [(0, 1), (2, np.inf)])
def test_neg(self):
self.assertEqual(-Interval(0, np.inf), Interval(-np.inf, 0))
def test_or(self):
self.assertEqual(
Interval(0, 1) | Interval(2, 3), Interval((0, 1), (2, 3)))
self.assertEqual(
Interval(0, 1) | Interval(0.5, np.inf), Interval(0, np.inf))
def test_and(self):
self.assertEqual(Interval(0, 1) & Interval(2, 3), Interval())
self.assertEqual(
Interval(0, 1) & Interval(0.5, np.inf), Interval(0.5, 1))
def test_get_closest_value(self):
i = Interval()
self.assertTrue(np.isnan(i.get_closest_value(0)))
i = Interval(0, 0)
self.assertEqual(i.get_closest_value(0), 0)
i = Interval((0, 1))
self.assertEqual(i.get_closest_value(0.6), 0.6)
i = Interval((0, 1), (2, 3))
self.assertEqual(i.get_closest_value(1.6), 2)
def test_length(self):
i = Interval()
self.assertEqual(i.length(), 0)
i = Interval(0, 0)
self.assertEqual(i.length(), 0)
i = Interval(0, 1)
self.assertEqual(i.length(), 1)
i = Interval((0, 1), (2, 3))
self.assertEqual(i.length(), 2)
i = Interval(0, np.inf)
self.assertEqual(i.length(), np.inf)
def test_upper(self):
i = Interval()
self.assertTrue(np.isnan(i.upper()))
i = Interval(0, np.inf)
self.assertEqual(i.upper(), np.inf)
i = Interval(0, 1)
self.assertEqual(i.upper(), 1)
i = Interval((0, 1), (2, 3))
self.assertEqual(i.upper(), 3)
def test_lower(self):
i = Interval()
self.assertTrue(np.isnan(i.lower()))
i = Interval(-np.inf, 0)
self.assertEqual(i.lower(), -np.inf)
i = Interval(0, 1)
self.assertEqual(i.lower(), 0)
i = Interval((0, 1), (2, 3))
self.assertEqual(i.lower(), 0)
def test_sub(self):
self.assertEqual(Interval(0, 1) - Interval(0.5, 1), Interval(0, 0.5))