mirror of https://github.com/python/cpython
Added Type[C] implementation to typing.py. (Merge 3.5->3.6)
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@ -15,6 +15,7 @@ from typing import Generic
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from typing import cast
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from typing import get_type_hints
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from typing import no_type_check, no_type_check_decorator
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from typing import Type
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from typing import NamedTuple
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from typing import IO, TextIO, BinaryIO
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from typing import Pattern, Match
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@ -1373,6 +1374,33 @@ class OtherABCTests(BaseTestCase):
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self.assertNotIsInstance(42, typing.ContextManager)
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class TypeTests(BaseTestCase):
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def test_type_basic(self):
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class User: pass
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class BasicUser(User): pass
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class ProUser(User): pass
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def new_user(user_class: Type[User]) -> User:
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return user_class()
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joe = new_user(BasicUser)
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def test_type_typevar(self):
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class User: pass
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class BasicUser(User): pass
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class ProUser(User): pass
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U = TypeVar('U', bound=User)
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def new_user(user_class: Type[U]) -> U:
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return user_class()
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joe = new_user(BasicUser)
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class NamedTupleTests(BaseTestCase):
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def test_basics(self):
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@ -19,9 +19,10 @@ __all__ = [
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'Callable',
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'Generic',
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'Optional',
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'Tuple',
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'Type',
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'TypeVar',
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'Union',
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'Tuple',
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# ABCs (from collections.abc).
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'AbstractSet', # collections.abc.Set.
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@ -447,6 +448,7 @@ class TypeVar(TypingMeta, metaclass=TypingMeta, _root=True):
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# Some unconstrained type variables. These are used by the container types.
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# (These are not for export.)
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T = TypeVar('T') # Any type.
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KT = TypeVar('KT') # Key type.
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VT = TypeVar('VT') # Value type.
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@ -456,6 +458,7 @@ VT_co = TypeVar('VT_co', covariant=True) # Value type covariant containers.
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T_contra = TypeVar('T_contra', contravariant=True) # Ditto contravariant.
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# A useful type variable with constraints. This represents string types.
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# (This one *is* for export!)
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AnyStr = TypeVar('AnyStr', bytes, str)
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@ -1572,6 +1575,35 @@ class Generator(Iterator[T_co], Generic[T_co, T_contra, V_co],
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return super().__new__(cls, *args, **kwds)
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# Internal type variable used for Type[].
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CT = TypeVar('CT', covariant=True, bound=type)
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class Type(type, Generic[CT], extra=type):
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"""A generic type usable to annotate class objects.
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For example, suppose we have the following classes::
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class User: ... # Abstract base for User classes
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class BasicUser(User): ...
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class ProUser(User): ...
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class TeamUser(User): ...
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And a function that takes a class argument that's a subclass of
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User and returns an instance of the corresponding class::
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U = TypeVar('U', bound=User)
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def new_user(user_class: Type[U]) -> U:
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user = user_class()
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# (Here we could write the user object to a database)
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return user
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joe = new_user(BasicUser)
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At this point the type checker knows that joe has type BasicUser.
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"""
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def NamedTuple(typename, fields):
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"""Typed version of namedtuple.
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