def test_reduce_not_too_fat(self):
# do not save instance dictionary if not needed
pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)]
od = OrderedDict(pairs)
self.assertEqual(len(od.__reduce__()), 2)
od.x = 10
self.assertEqual(len(od.__reduce__()), 3)
def test_reduce_not_too_fat(self):
# do not save instance dictionary if not needed
pairs = [("c", 1), ("b", 2), ("a", 3), ("d", 4), ("e", 5), ("f", 6)]
od = OrderedDict(pairs)
self.assertEqual(len(od.__reduce__()), 2)
od.x = 10
self.assertEqual(len(od.__reduce__()), 3)
def test_yaml_linkage(self):
# Verify that __reduce__ is setup in a way that supports PyYAML's dump() feature.
# In yaml, lists are native but tuples are not.
pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)]
od = OrderedDict(pairs)
# yaml.dump(od) -->
# '!!python/object/apply:__main__.OrderedDict\n- - [a, 1]\n - [b, 2]\n'
self.assertTrue(all(type(pair) == list for pair in od.__reduce__()[1]))
def test_yaml_linkage(self):
# Verify that __reduce__ is setup in a way that supports PyYAML's dump() feature.
# In yaml, lists are native but tuples are not.
pairs = [("c", 1), ("b", 2), ("a", 3), ("d", 4), ("e", 5), ("f", 6)]
od = OrderedDict(pairs)
# yaml.dump(od) -->
# '!!python/object/apply:__main__.OrderedDict\n- - [a, 1]\n - [b, 2]\n'
self.assertTrue(all(type(pair) == list for pair in od.__reduce__()[1]))
