def test_expected_returns_logic_or(self):
nt = Network()
nt.i = np.array([0, 0])
self.assertEqual(nt.expected(), 0)
nt.i = np.array([1, 0])
self.assertEqual(nt.expected(), 1)
nt.i = np.array([0, 1])
self.assertEqual(nt.expected(), 1)
nt.i = np.array([1, 1])
self.assertEqual(nt.expected(), 1)
def test_expected_requires_ndarray_with_0s_or_1s_for_i(self):
nt = Network()
nt.i = np.array([
1,
2,
])
regex = 'The values should be either 0 or 1'
with self.assertRaisesRegex(ValueError, regex):
nt.expected()
def test_expected_requires_ndarray_len_2_for_i(self):
nt = Network()
nt.i = np.array([
1,
2,
3,
])
regex = 'The length should be 2.'
with self.assertRaisesRegex(ValueError, regex):
nt.expected()
def test_expected_requires_ndarray_for_i(self):
nt = Network()
nt.i = 'void'
regex = 'A numpy ndarray was expected.'
with self.assertRaisesRegex(TypeError, regex):
nt.expected()