PEP 696: Type defaults for TypeVars (#2717)
Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com> Co-authored-by: Hugo van Kemenade <hugovk@users.noreply.github.com>
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@ -576,6 +576,7 @@ pep-0692.rst @jellezijlstra
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pep-0693.rst @Yhg1s
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pep-0693.rst @Yhg1s
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pep-0694.rst @dstufft
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pep-0694.rst @dstufft
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pep-0695.rst @gvanrossum
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pep-0695.rst @gvanrossum
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pep-0696.rst @jellezijlstra
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# ...
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# ...
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# pep-0754.txt
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# pep-0754.txt
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# ...
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# ...
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@ -0,0 +1,442 @@
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PEP: 696
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Title: Type defaults for TypeVarLikes
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Author: James Hilton-Balfe <gobot1234yt@gmail.com>
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Sponsor: Jelle Zijlstra <jelle.zijlstra@gmail.com>
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Discussions-To: typing-sig@python.org
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Status: Draft
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Type: Standards Track
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Topic: Typing
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Content-Type: text/x-rst
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Created: 14-Jul-2022
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Python-Version: 3.12
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Abstract
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--------
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This PEP introduces the concept of type defaults for
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``TypeVarLike``\ s (``TypeVar``, ``ParamSpec`` and ``TypeVarTuple``),
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which act as defaults for a type parameter when none is specified.
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Default type argument support is available in some popular languages
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such as C++, TypeScript, and Rust. A survey of type parameter syntax in
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some common languages has been conducted by the author of :pep:`695`
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and can be found in its
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:pep:`Appendix A <695#appendix-a-survey-of-type-parameter-syntax>`.
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Motivation
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----------
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.. code:: py
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T = TypeVar("T", default=int) # This means that if no type is specified T = int
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@dataclass
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class Box(Generic[T]):
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value: T | None = None
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reveal_type(Box()) # type is Box[int]
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reveal_type(Box(value="Hello World!")) # type is Box[str]
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One place this `regularly comes
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up <https://github.com/python/typing/issues/975>`__ is ``Generator``. I
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propose changing the *stub definition* to something like:
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.. code:: py
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YieldT = TypeVar("YieldT")
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SendT = TypeVar("SendT", default=None)
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ReturnT = TypeVar("ReturnT", default=None)
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class Generator(Generic[YieldT, SendT, ReturnT]): ...
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Generator[int] == Generator[int, None] == Generator[int, None, None]
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This is also useful for a ``Generic`` that is commonly over one type.
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.. code:: py
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class Bot: ...
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BotT = TypeVar("BotT", bound=Bot, default=Bot)
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class Context(Generic[BotT]):
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bot: BotT
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class MyBot(Bot): ...
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reveal_type(Context().bot) # type is Bot # notice this is not Any which is what it would be currently
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reveal_type(Context[MyBot]().bot) # type is MyBot
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Not only does this improve typing for those who explicitly use it, it
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also helps non-typing users who rely on auto-complete to speed up their
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development.
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This design pattern is common in projects like:
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- `discord.py <https://github.com/Rapptz/discord.py>`__ - where the
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example above was taken from.
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- `NumPy <https://github.com/numpy/numpy>`__ - the default for types
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like ``ndarray``'s ``dtype`` would be ``float64``. Currently it's
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``Unknown`` or ``Any``.
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- `TensorFlow <https://github.com/tensorflow/tensorflow>`__ (this
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could be used for Tensor similarly to ``numpy.ndarray`` and would be
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useful to simplify the definition of ``Layer``).
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Specification
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-------------
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Default ordering and subscription rules
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'''''''''''''''''''''''''''''''''''''''
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The order for defaults should follow the standard function parameter
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rules, so a ``TypeVarLike`` with no ``default`` cannot follow one with
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a ``default`` value. Doing so should ideally raise a ``TypeError`` in
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``typing._GenericAlias``/``types.GenericAlias``, and a type checker
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should flag this an error.
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.. code:: py
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DefaultStrT = TypeVar("DefaultStrT", default=str)
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DefaultIntT = TypeVar("DefaultIntT", default=int)
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DefaultBoolT = TypeVar("DefaultBoolT", default=bool)
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T = TypeVar("T")
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T2 = TypeVar("T2")
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class NonDefaultFollowsDefault(Generic[DefaultStrT, T]): ... # Invalid: non-default TypeVars cannot follow ones with defaults
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class NoNonDefaults(Generic[DefaultStrT, DefaultIntT]): ...
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(
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NoNoneDefaults ==
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NoNoneDefaults[str] ==
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NoNoneDefaults[str, int]
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) # All valid
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class OneDefault(Generic[T, DefaultBoolT]): ...
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OneDefault[float] == OneDefault[float, bool] # Valid
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class AllTheDefaults(Generic[T1, T2, DefaultStrT, DefaultIntT, DefaultBoolT]): ...
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AllTheDefaults[int] # Invalid: expected 2 arguments to AllTheDefaults
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(
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AllTheDefaults[int, complex] ==
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AllTheDefaults[int, complex, str] ==
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AllTheDefaults[int, complex, str, int] ==
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AllTheDefaults[int, complex, str, int, bool]
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) # All valid
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This cannot be enforced at runtime for functions, for now, but in the
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future, this might be possible (see `Interaction with PEP
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695 <#interaction-with-pep-695>`__).
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``ParamSpec`` Defaults
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''''''''''''''''''''''
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``ParamSpec`` defaults are defined using the same syntax as
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``TypeVar`` \ s but use a ``list`` or ``tuple`` of types or an ellipsis
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literal "``...``".
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.. code:: py
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DefaultP = ParamSpec("DefaultP", default=(str, int))
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class Foo(Generic[DefaultP]): ...
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reveal_type(Foo()) # type is Foo[(str, int)]
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reveal_type(Foo[(bool, bool)]()) # type is Foo[(bool, bool)]
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``TypeVarTuple`` Defaults
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'''''''''''''''''''''''''
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``TypeVarTuple`` defaults are defined using the same syntax as
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``TypeVar`` \ s but use an unpacked tuple of types instead of a single type.
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.. code:: py
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DefaultTs = TypeVarTuple("DefaultTs", default=Unpack[tuple[str, int]])
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class Foo(Generic[DefaultTs]): ...
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reveal_type(Foo()) # type is Foo[str, int]
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reveal_type(Foo[int, bool]()) # type is Foo[int, bool]
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Using another ``TypeVarLike`` as the default
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''''''''''''''''''''''''''''''''''''''''''''
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To use another ``TypeVarLike``\ s as the default they have to be of the
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same type. When using another ``TypeVarLike`` (T1) as the default, the default
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for the ``TypeVarLike`` (T2), T1 must be used before in the signature
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of the class it appears in before T2. T2's bound must be a subtype of
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T1's bound.
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`This could be used on builtins.slice <https://github.com/python/typing/issues/159>`__
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where the ``start`` parameter should default to ``int``, ``stop``
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default to the type of ``start`` and step default to ``int | None``.
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.. code:: py
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StartT = TypeVar("StartT", default=int)
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StopT = TypeVar("StopT", default=StartT)
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StepT = TypeVar("StepT", default=int | None)
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class slice(Generic[StartT, StopT, StepT]): ... # Valid
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reveal_type(slice()) # type is slice[int, int, int | None]
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reveal_type(slice[str]()) # type is slice[str, str, int | None]
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reveal_type(slice[str, str, timedelta]()) # type is slice[str, str, timedelta]
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StartT = TypeVar("StartT", default="StopT")
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StopT = TypeVar("StopT", default=int)
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class slice(Generic[StartT, StopT, StepT]): ...
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^^^^^^ # Invalid: ordering does not allow StopT to bound yet
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``Generic`` ``TypeAlias``\ es
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'''''''''''''''''''''''''''''
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``Generic`` ``TypeAlias``\ es should be able to be further subscripted
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following normal subscription rules. If a ``TypeVarLike`` has a default
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that hasn't been overridden it should be treated like it was
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substituted into the ``TypeAlias``. However, it can be specialised
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further down the line.
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.. code:: py
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class SomethingWithNoDefaults(Generic[T, T2]): ...
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MyAlias: TypeAlias = SomethingWithNoDefaults[int, DefaultStrT] # valid
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reveal_type(MyAlias()) # type is SomethingWithNoDefaults[int, str]
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reveal_type(MyAlias[bool]()) # type is SomethingWithNoDefaults[int, bool]
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MyAlias[bool, int] # Invalid: too many arguments passed to MyAlias
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Subclassing
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'''''''''''
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Subclasses of ``Generic``\ s with ``TypeVarLike``\ s that have defaults
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behave similarly to ``Generic`` ``TypeAlias``\ es.
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.. code:: py
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class SubclassMe(Generic[T, DefaultStrT]): ...
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class Bar(SubclassMe[int, DefaultStrT]): ...
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reveal_type(Bar()) # type is Bar[str]
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reveal_type(Bar[bool]()) # type is Bar[bool]
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class Foo(SubclassMe[int]): ...
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reveal_type(Foo()) # type is <subclass of SubclassMe[int, int]>
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Foo[str] # Invalid: Foo cannot be further subscripted
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class Baz(Generic[DefaultIntT, DefaultStrT]): ...
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class Spam(Baz): ...
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reveal_type(Spam()) # type is <subclass of Baz[int, str]>
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Using bound and default
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'''''''''''''''''''''''
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If both ``bound`` and ``default`` are passed ``default`` must be a
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subtype of ``bound``. Otherwise the type checker should generate an
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error.
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.. code:: py
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TypeVar("Ok", bound=float, default=int) # Valid
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TypeVar("Invalid", bound=str, default=int) # Invalid: the bound and default are incompatible
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Constraints
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'''''''''''
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For constrained ``TypeVar``\ s, the default needs to be one of the
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constraints. A type checker should generate an error even if it is a
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subtype of one of the constraints.
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.. code:: py
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TypeVar("Ok", float, str, default=float) # Valid
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TypeVar("Invalid", float, str, default=int) # Invalid: expected one of float or str got int
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Function Defaults
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'''''''''''''''''
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``TypeVarLike``\ s currently can only be used where a parameter can go unsolved.
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.. code:: py
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def foo(a: DefaultStrT | None = None) -> DefaultStrT: ...
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reveal_type(foo(1)) # type is int
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reveal_type(foo()) # type is str
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If they are used where the parameter type is known, the defaults
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should just be ignored and a type checker can emit a warning.
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Implementation
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--------------
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At runtime, this would involve the following changes to the ``typing``
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module.
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- a new class ``_DefaultMixin`` needs to be added which is a superclass
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of ``TypeVar``, ``ParamSpec``, and ``TypeVarTuple``.
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- the type passed to default would be available as a ``__default__``
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attribute.
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The following changes would be required to both ``GenericAlias``\ es:
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- logic to determine the defaults required for a subscription.
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- ideally, logic to determine if subscription (like
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``Generic[T, DefaultT]``) would be valid.
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A reference implementation of the type checker can be found at
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https://github.com/Gobot1234/mypy/tree/TypeVar-defaults
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Interaction with PEP 695
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------------------------
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If this PEP is accepted, the syntax proposed in :pep:`695` will be
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extended to introduce a way to specify defaults for type parameters
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using the "=" operator inside of the square brackets like so:
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.. code:: py
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# TypeVars
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class Foo[T = str]: ...
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def bar[U = int](): ...
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# ParamSpecs
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class Baz[**P = (int, str)]: ...
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def spam[**Q = (bool,)](): ...
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# TypeVarTuples
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class Qux[*Ts = *tuple[int, bool]]: ...
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def ham[*Us = *tuple[str]](): ...
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This functionality was included in the initial draft of :pep:`695` but
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was removed due to scope creep.
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Grammar Changes
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'''''''''''''''
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::
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type_param:
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| a=NAME b=[type_param_bound] d=[type_param_default]
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| a=NAME c=[type_param_constraint] d=[type_param_default]
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| '*' a=NAME d=[type_param_default]
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| '**' a=NAME d=[type_param_default]
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type_param_default: '=' e=expression
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This would mean that ``TypeVarLike``\ s with defaults proceeding those
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with non-defaults can be checked at compile time.
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Rejected Alternatives
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---------------------
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Allowing the ``TypeVarLike``\ s defaults to be passed to ``type.__new__``'s ``**kwargs``
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''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
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.. code:: py
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T = TypeVar("T")
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@dataclass
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class Box(Generic[T], T=int):
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value: T | None = None
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While this is much easier to read and follows a similar rationale to the
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``TypeVar`` `unary
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syntax <https://github.com/python/typing/issues/813>`__, it would not be
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backwards compatible as ``T`` might already be passed to a
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metaclass/superclass or support classes that don't subclass ``Generic``
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at runtime.
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Ideally, if :pep:`637` wasn't rejected, the following would be acceptable:
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.. code:: py
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T = TypeVar("T")
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@dataclass
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class Box(Generic[T = int]):
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value: T | None = None
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Allowing non-defaults to follow defaults
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''''''''''''''''''''''''''''''''''''''''
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.. code:: py
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YieldT = TypeVar("YieldT", default=Any)
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||||||
|
SendT = TypeVar("SendT", default=Any)
|
||||||
|
ReturnT = TypeVar("ReturnT")
|
||||||
|
|
||||||
|
class Coroutine(Generic[YieldT, SendT, ReturnT]): ...
|
||||||
|
|
||||||
|
Coroutine[int] == Coroutine[Any, Any, int]
|
||||||
|
|
||||||
|
Allowing non-defaults to follow defaults would alleviate the issues with
|
||||||
|
returning types like ``Coroutine`` from functions where the most used
|
||||||
|
type argument is the last (the return). Allowing non-defaults to follow
|
||||||
|
defaults is too confusing and potentially ambiguous, even if only the
|
||||||
|
above two forms were valid. Changing the argument order now would also
|
||||||
|
break a lot of codebases. This is also solvable in most cases using a
|
||||||
|
``TypeAlias``.
|
||||||
|
|
||||||
|
.. code:: py
|
||||||
|
|
||||||
|
Coro: TypeAlias = Coroutine[Any, Any, T]
|
||||||
|
Coro[int] == Coroutine[Any, Any, int]
|
||||||
|
|
||||||
|
Having ``default`` implicitly be ``bound``
|
||||||
|
''''''''''''''''''''''''''''''''''''''''''
|
||||||
|
|
||||||
|
In an earlier version of this PEP, the ``default`` was implicitly set
|
||||||
|
to ``bound`` if no value was passed for ``default``. This while
|
||||||
|
convenient, could have a ``TypeVarLike`` with no default follow a
|
||||||
|
``TypeVarLike`` with a default. Consider:
|
||||||
|
|
||||||
|
.. code:: py
|
||||||
|
|
||||||
|
T = TypeVar("T", bound=int) # default is implicitly int
|
||||||
|
U = TypeVar("U")
|
||||||
|
|
||||||
|
class Foo(Generic[T, U]):
|
||||||
|
...
|
||||||
|
|
||||||
|
# would expand to
|
||||||
|
|
||||||
|
T = TypeVar("T", bound=int, default=int)
|
||||||
|
U = TypeVar("U")
|
||||||
|
|
||||||
|
class Foo(Generic[T, U]):
|
||||||
|
...
|
||||||
|
|
||||||
|
This would have also been a breaking change for a small number of cases
|
||||||
|
where the code relied on ``Any`` being the implicit default.
|
||||||
|
|
||||||
|
|
||||||
|
Acknowledgements
|
||||||
|
----------------
|
||||||
|
|
||||||
|
Thanks to the following people for their feedback on the PEP:
|
||||||
|
|
||||||
|
Eric Traut, Jelle Zijlstra, Joshua Butt, Danny Yamamoto, Kaylynn Morgan
|
||||||
|
and Jakub Kuczys
|
||||||
|
|
||||||
|
|
||||||
|
Copyright
|
||||||
|
---------
|
||||||
|
This document is placed in the public domain or under the
|
||||||
|
CC0-1.0-Universal license, whichever is more permissive.
|
Loading…
Reference in New Issue