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_array_convert(self):
eav_example = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
expected_output = np.array([(0, 1), (4, 5)],
dtype=[('x', float), ('y', float)])
real_output = EavConverter.convert_to_array(eav_example)
self.assertTrue(
np.array_equal(expected_output, real_output),
msg="wrong conversion from eav to array, tables are not equal")
def test_empty_conversion(self):
eav_example = []
expected_output = np.array([])
real_output = EavConverter.convert_to_array(eav_example)
self.assertTrue(np.array_equal(expected_output, real_output),
msg="wrong conversion from empty eav")
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_array_convert(self):
eav_example = [(0, 'x', 0), (0, 'y', 1), (1, 'x', 4), (1, 'y', 5)]
expected_output = np.array([(0, 1), (4, 5)], dtype=[('x', float), ('y', float)])
real_output = EavConverter.convert_to_array(eav_example)
self.assertTrue(np.array_equal(expected_output, real_output),
msg="wrong conversion from eav to array, tables are not equal")
def test_empty_conversion(self):
eav_example = []
expected_output = np.array([])
real_output = EavConverter.convert_to_array(eav_example)
self.assertTrue(np.array_equal(expected_output, real_output),
msg="wrong conversion from empty eav")
