def test_conversion_involution(self):
eav_example = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
real_output = EavConverter.convert_to_eav(
EavConverter.convert_to_array(eav_example))
self.assertEqual(eav_example,
real_output,
msg="error: conversions must be involution")
def test_to_eav_convert(self):
array_example = np.array([(0, 1), (4, 5)],
dtype=[('x', int), ('y', float)])
expected_output = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
real_output = EavConverter.convert_to_eav(array_example)
self.assertEqual(
expected_output,
real_output,
msg="wrong conversion from array to eav, tables are not equal")
def test_wrong_array_format_exception(self):
with self.assertRaises(TypeError, msg="don't raise wrong format exception"):
array_example = np.array([[0, 1], [4, 5]])
EavConverter.convert_to_eav(array_example)
def test_conversion_involution(self):
eav_example = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
real_output = EavConverter.convert_to_eav(EavConverter.convert_to_array(eav_example))
self.assertEqual(eav_example, real_output,
msg="error: conversions must be involution")
def test_to_eav_convert(self):
array_example = np.array([(0, 1), (4, 5)], dtype=[('x', int), ('y', float)])
expected_output = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
real_output = EavConverter.convert_to_eav(array_example)
self.assertEqual(expected_output, real_output,
msg="wrong conversion from array to eav, tables are not equal")
def test_wrong_array_format_exception(self):
with self.assertRaises(TypeError,
msg="don't raise wrong format exception"):
array_example = np.array([[0, 1], [4, 5]])
EavConverter.convert_to_eav(array_example)