class D(UserName):
pass
+ def test_or(self):
+ UserId = NewType('UserId', int)
+
+ self.assertEqual(UserId | int, Union[UserId, int])
+ self.assertEqual(int | UserId, Union[int, UserId])
+
+ self.assertEqual(get_args(UserId | int), (UserId, int))
+ self.assertEqual(get_args(int | UserId), (int, UserId))
+
+ def test_special_attrs(self):
+ UserId = NewType('UserId', int)
+
+ self.assertEqual(UserId.__name__, 'UserId')
+ self.assertEqual(UserId.__qualname__, 'UserId')
+ self.assertEqual(UserId.__module__, __name__)
+
+ def test_repr(self):
+ UserId = NewType('UserId', int)
+
+ self.assertEqual(repr(UserId), f'{__name__}.UserId')
class NamedTupleTests(BaseTestCase):
class NestedEmployee(NamedTuple):
if type(self)._is_protocol:
raise TypeError('Protocols cannot be instantiated')
+def _callee(depth=2, default=None):
+ try:
+ return sys._getframe(depth).f_globals['__name__']
+ except (AttributeError, ValueError): # For platforms without _getframe()
+ return default
+
def _allow_reckless_class_checks(depth=3):
"""Allow instance and class checks for special stdlib modules.
TypedDict.__mro_entries__ = lambda bases: (_TypedDict,)
-def NewType(name, tp):
+class NewType:
"""NewType creates simple unique types with almost zero
runtime overhead. NewType(name, tp) is considered a subtype of tp
by static type checkers. At runtime, NewType(name, tp) returns
num = UserId(5) + 1 # type: int
"""
- def new_type(x):
+ def __init__(self, name, tp):
+ self.__name__ = name
+ self.__qualname__ = name
+ self.__module__ = _callee(default='typing')
+ self.__supertype__ = tp
+
+ def __repr__(self):
+ return f'{self.__module__}.{self.__qualname__}'
+
+ def __call__(self, x):
return x
- new_type.__name__ = name
- new_type.__supertype__ = tp
- return new_type
+ def __or__(self, other):
+ return Union[self, other]
+
+ def __ror__(self, other):
+ return Union[other, self]
# Python-version-specific alias (Python 2: unicode; Python 3: str)