def test_has_property_df_notin_catalog(self):
A = pd.read_csv(path_a)
cm.has_property(A, 'key')
def test_valid_path_wi_invalidmetadata_replace_key(self):
cm.del_catalog()
p = os.sep.join([io_datasets_path, 'A_key_zipcode.csv'])
IM = read_csv_metadata(p, key='ID')
self.assertEqual(cm.is_dfinfo_present(IM), True)
self.assertEqual(cm.has_property(IM, 'key'), True)
def test_has_property_invalid_prop_name(self):
A = read_csv_metadata(path_a)
cm.has_property(A, None)
def test_has_property_invalid_df(self):
cm.has_property(None, 'key')
def test_has_property_valid_2(self):
A = read_csv_metadata(path_a)
self.assertEqual(cm.has_property(A, 'key1'), False)
def test_has_property_valid_1(self):
A = read_csv_metadata(path_a)
self.assertEqual(cm.has_property(A, 'key'), True)
def test_valid_path_wi_invalidmetadata_replace_key(self):
cm.del_catalog()
p = os.sep.join([io_datasets_path, 'A_key_zipcode.csv'])
IM = read_csv_metadata(p, key='ID')
self.assertEqual(cm.is_dfinfo_present(IM), True)
self.assertEqual(cm.has_property(IM, 'key'), True)