def test_hash_dict(self):
obj = dict(a='hello', b='there')
obj_rev = dict(b='there', a='hello')
self.assertTrue(hash_object(obj))
self.assertNotEqual(hash(convert_hashable(obj)), hash_object(obj))
# For now I guess differently ordered dicts should be hashed the same
self.assertEqual(hash_object(obj), hash_object(obj_rev))
def test_hash_pandas(self):
df = pd.DataFrame(
dict(column1=[1, 3, 5], column2=[2, 3, 5], name='hello'))
df2 = pd.DataFrame(
dict(column1=[1, 3, 5], column2=[2, 3, 5], name='hello2'))
self.assertTrue(hash_object(df))
self.assertNotEqual(hash_object(df), hash_object(df2))
self.assertNotEqual(hash_object(df),
hash_object(df.rename_axis('newindex', axis=0)))
self.assertNotEqual(hash_object(df),
hash_object(df.rename_axis('newcolumns', axis=1)))
def test_hash_hashable(self):
obj = (1, 2)
rev_tuple = (2, 1)
self.assertTrue(hash_object(obj))
self.assertNotEqual(hash_object(obj), hash_object(rev_tuple))
self.assertTrue(hash_object(frozenset(obj)))
def test_hash_set(self):
obj = {1, 2}
self.assertTrue(hash_object(obj))
self.assertNotEqual(hash(convert_hashable(obj)), hash_object(obj))
def test_hash_list(self):
obj = [1, 2]
obj_rev = list(reversed(obj))
self.assertTrue(hash_object(obj))
self.assertNotEqual(hash(convert_hashable(obj)), hash_object(obj))
self.assertNotEqual(hash_object(obj), hash_object(obj_rev))