User defined generic type aliases are also supported. Examples::
from collections.abc import Iterable
- from typing import TypeVar, Union
+ from typing import TypeVar
S = TypeVar('S')
- Response = Union[Iterable[S], int]
+ Response = Iterable[S] | int
- # Return type here is same as Union[Iterable[str], int]
+ # Return type here is same as Iterable[str] | int
def response(query: str) -> Response[str]:
...
.. data:: Union
- Union type; ``Union[X, Y]`` means either X or Y.
+ Union type; ``Union[X, Y]`` is equivalent to ``X | Y`` and means either X or Y.
- To define a union, use e.g. ``Union[int, str]``. Details:
+ To define a union, use e.g. ``Union[int, str]`` or the shorthand ``int | str``. Details:
* The arguments must be types and there must be at least one.
* Redundant arguments are skipped, e.g.::
- Union[int, str, int] == Union[int, str]
+ Union[int, str, int] == Union[int, str] == int | str
* When comparing unions, the argument order is ignored, e.g.::
Union[int, str] == Union[str, int]
- * You cannot subclass or instantiate a union.
+ * You cannot subclass or instantiate a ``Union``.
* You cannot write ``Union[X][Y]``.
- * You can use ``Optional[X]`` as a shorthand for ``Union[X, None]``.
-
.. versionchanged:: 3.7
Don't remove explicit subclasses from unions at runtime.
Optional type.
- ``Optional[X]`` is equivalent to ``Union[X, None]``.
+ ``Optional[X]`` is equivalent to ``X | None`` (or ``Union[X, None]``).
Note that this is not the same concept as an optional argument,
which is one that has a default. An optional argument with a
def foo(arg: Optional[int] = None) -> None:
...
+ .. versionchanged:: 3.10
+ Optional can now be written as ``X | None``. See
+ :ref:`union type expressions<types-union>`.
+
.. data:: Callable
Callable type; ``Callable[[int], str]`` is a function of (int) -> str.
:ref:`type variables <generics>`, and unions of any of these types.
For example::
- def new_non_team_user(user_class: Type[Union[BasicUser, ProUser]]): ...
+ def new_non_team_user(user_class: Type[BasicUser | ProUser]): ...
``Type[Any]`` is equivalent to ``Type`` which in turn is equivalent
to ``type``, which is the root of Python's metaclass hierarchy.
conditional code flow and applying the narrowing to a block of code. The
conditional expression here is sometimes referred to as a "type guard"::
- def is_str(val: Union[str, float]):
+ def is_str(val: str | float):
# "isinstance" type guard
if isinstance(val, str):
# Type of ``val`` is narrowed to ``str``
For a typing object of the form ``X[Y, Z, ...]`` these functions return
``X`` and ``(Y, Z, ...)``. If ``X`` is a generic alias for a builtin or
:mod:`collections` class, it gets normalized to the original class.
- If ``X`` is a :class:`Union` or :class:`Literal` contained in another
+ If ``X`` is a union or :class:`Literal` contained in another
generic type, the order of ``(Y, Z, ...)`` may be different from the order
of the original arguments ``[Y, Z, ...]`` due to type caching.
For unsupported objects return ``None`` and ``()`` correspondingly.
year: int
is_typeddict(Film) # => True
- is_typeddict(Union[list, str]) # => False
+ is_typeddict(list | str) # => False
.. versionadded:: 3.10