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PEP 742: TypeNarrower (#3649) 

Co-authored-by: Hugo van Kemenade <1324225+hugovk@users.noreply.github.com>
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peps/pep-0737.rst @vstinner
peps/pep-0738.rst @encukou
peps/pep-0740.rst @dstufft
peps/pep-0742.rst @JelleZijlstra
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@ -165,6 +165,7 @@ structural subtyping is considered more flexible.
We strive to provide support for both approaches, so that
structural information can be used in addition to nominal subtyping.
.. _pep-483-gradual-typing:
Summary of gradual typing
=========================

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PEP: 742
Title: Narrowing types with TypeNarrower
Author: Jelle Zijlstra <jelle.zijlstra@gmail.com>
Status: Draft
Type: Standards Track
Topic: Typing
Created: 07-Feb-2024
Python-Version: 3.13
Replaces: 724
Abstract
========
This PEP proposes a new special form, ``TypeNarrower``, to allow annotating functions that can be used
to narrow the type of a value, similar to the builtin :py:func:`isinstance`. Unlike the existing
:py:data:`typing.TypeGuard` special form, ``TypeNarrower`` can narrow the type in both the ``if``
and ``else`` branches of a conditional.
Motivation
==========
Typed Python code often requires users to narrow the type of a variable based on a conditional.
For example, if a function accepts a union of two types, it may use an :py:func:`isinstance` check
to discriminate between the two types. Type checkers commonly support type narrowing based on various
builtin function and operations, but occasionally, it is useful to use a user-defined function to
perform type narrowing.
To support such use cases, :pep:`647` introduced the :py:data:`typing.TypeGuard` special form, which
allows users to define type guards::
from typing import assert_type, TypeGuard
def is_str(x: object) -> TypeGuard[str]:
return isinstance(x, str)
def f(x: object) -> None:
if is_str(x):
assert_type(x, str)
else:
assert_type(x, object)
Unfortunately, the behavior of :py:data:`typing.TypeGuard` has some limitations that make it
less useful for many common use cases, as explained also in the "Motivation" section of :pep:`724`.
In particular:
* Type checkers must use exactly the ``TypeGuard`` return type as the narrowed type if the
type guard returns ``True``. They cannot use pre-existing knowledge about the type of the
variable.
* In the case where the type guard returns ``False``, the type checker cannot apply any
additional narrowing.
The standard library function :py:func:`inspect.isawaitable` may serve as an example. It
returns whether the argument is an awaitable object, and
`typeshed <https://github.com/python/typeshed/blob/a4f81a67a07c18dd184dd068c459b02e71bcac22/stdlib/inspect.pyi#L219>`__
currently annotates it as::
def isawaitable(object: object) -> TypeGuard[Awaitable[Any]]: ...
A user `reported <https://github.com/python/mypy/issues/15520>`__ an issue to mypy about
the behavior of this function. They observed the following behavior::
import inspect
from collections.abc import Awaitable
from typing import reveal_type
async def f(t: Awaitable[int] | int) -> None:
if inspect.isawaitable(t):
reveal_type(t) # Awaitable[Any]
else:
reveal_type(t) # Awaitable[int] | int
This behavior is consistent with :pep:`647`, but it did not match the user's expectations.
Instead, they would expect the type of ``t`` to be narrowed to ``Awaitable[int]`` in the ``if``
branch, and to ``int`` in the ``else`` branch. This PEP proposes a new construct that does
exactly that.
Other examples of issues that arose out of the current behavior of ``TypeGuard`` include:
* `Python typing issue <https://github.com/python/typing/issues/996>`__ (``numpy.isscalar``)
* `Python typing issue <https://github.com/python/typing/issues/1351>`__ (:py:func:`dataclasses.is_dataclass`)
* `Pyright issue <https://github.com/microsoft/pyright/issues/3450>`__ (expecting :py:data:`typing.TypeGuard` to work like :py:func:`isinstance`)
* `Pyright issue <https://github.com/microsoft/pyright/issues/3466>`__ (expecting narrowing in the ``else`` branch)
* `Mypy issue <https://github.com/python/mypy/issues/13957>`__ (expecting narrowing in the ``else`` branch)
* `Mypy issue <https://github.com/python/mypy/issues/14434>`__ (combining multiple TypeGuards)
* `Mypy issue <https://github.com/python/mypy/issues/15305>`__ (expecting narrowing in the ``else`` branch)
* `Mypy issue <https://github.com/python/mypy/issues/11907>`__ (user-defined function similar to :py:func:`inspect.isawaitable`)
* `Typeshed issue <https://github.com/python/typeshed/issues/8009>`__ (``asyncio.iscoroutinefunction``)
Rationale
=========
The problems with the current behavior of :py:data:`typing.TypeGuard` compel us to improve
the type system to allow a different type narrowing behavior. :pep:`724` proposed to change
the behavior of the existing :py:data:`typing.TypeGuard` construct, but we :ref:`believe <pep-742-change-typeguard>`
that the backwards compatibility implications of that change are too severe. Instead, we propose
adding a new special form with the desired semantics.
We acknowledge that this leads to an unfortunate situation where there are two constructs with
a similar purpose and similar semantics. We believe that users are more likely to want the behavior
of ``TypeNarrower``, the new form proposed in this PEP, and therefore we recommend that documentation
emphasize ``TypeNarrower`` over ``TypeGuard`` as a more commonly applicable tool. However, the semantics of
``TypeGuard`` are occasionally useful, and we do not propose to deprecate or remove it. In the long
run, most users should use ``TypeNarrower``, and ``TypeGuard`` should be reserved for rare cases
where its behavior is specifically desired.
Specification
=============
A new special form, ``TypeNarrower``, is added to the :py:mod:`typing`
module. Its usage, behavior, and runtime implementation are similar to
those of :py:data:`typing.TypeGuard`.
It accepts a single
argument and can be used as the return type of a function. A function annotated as returning a
``TypeNarrower`` is called a type narrowing function. Type narrowing functions must return ``bool``
values, and the type checker should verify that all return paths return
``bool``.
Type narrowing functions must accept at least one positional argument. The type
narrowing behavior is applied to the first positional argument passed to
the function. The function may accept additional arguments, but they are
not affected by type narrowing. If a type narrowing function is implemented as
an instance method or class method, the first positional argument maps
to the second parameter (after ``self`` or ``cls``).
Type narrowing behavior
-----------------------
To specify the behavior of ``TypeNarrower``, we use the following terminology:
* I = ``TypeNarrower`` input type
* R = ``TypeNarrower`` return type
* A = Type of argument passed to type narrowing function (pre-narrowed)
* NP = Narrowed type (positive; used when ``TypeNarrower`` returned ``True``)
* NN = Narrowed type (negative; used when ``TypeNarrower`` returned ``False``)
.. code-block:: python
def narrower(x: I) -> TypeNarrower[R]: ...
def func1(val: A):
if narrower(val):
assert_type(val, NP)
else:
assert_type(val, NN)
The return type ``R`` must be :ref:`consistent with <pep-483-gradual-typing>` ``I``. The type checker should
emit an error if this condition is not met.
Formally, type *NP* should be narrowed to :math:`A \land R`,
the intersection of *A* and *R*, and type *NN* should be narrowed to
:math:`A \land \neg R`, the intersection of *A* and the complement of *R*.
In practice, the theoretic types for strict type guards cannot be expressed
precisely in the Python type system. Type checkers should fall back on
practical approximations of these types. As a rule of thumb, a type checker
should use the same type narrowing logic -- and get results that are consistent
with -- its handling of :py:func:`isinstance`. This guidance allows for changes and
improvements if the type system is extended in the future.
Examples
--------
Type narrowing is applied in both the positive and negative case::
from typing import TypeNarrower, assert_type
def is_str(x: object) -> TypeNarrower[str]:
return isinstance(x, str)
def f(x: str | int) -> None:
if is_str(x):
assert_type(x, str)
else:
assert_type(x, int)
The final narrowed type may be narrower than **R**, due to the constraints of the
argument's previously-known type::
from collections.abc import Awaitable
from typing import Any, TypeNarrower, assert_type
import inspect
def isawaitable(x: object) -> TypeNarrower[Awaitable[Any]]:
return inspect.isawaitable(x)
def f(x: Awaitable[int] | int) -> None:
if isawaitable(x):
assert_type(x, Awaitable[int])
else:
assert_type(x, int)
It is an error to narrow to a type that is not consistent with the input type::
from typing import TypeNarrower
def is_str(x: int) -> TypeNarrower[str]: # Type checker error
...
Subtyping
---------
``TypeNarrower`` is not a subtype of ``bool``.
The type ``Callable[..., TypeNarrower[int]]`` is not assignable to
``Callable[..., bool]`` or ``Callable[..., TypeGuard[int]]``, and vice versa.
This restriction is carried over from :pep:`647`. It may be possible to relax
it in the future, but that is outside the scope of this PEP.
Unlike ``TypeGuard``, ``TypeNarrower`` is invariant in its argument type:
``TypeNarrower[B]`` is not a subtype of ``TypeNarrower[A]``,
even if ``B`` is a subtype of ``A``.
To see why, consider the following example::
def takes_narrower(x: int | str, narrower: Callable[[object], TypeNarrower[int]]):
if narrower(x):
print(x + 1) # x is an int
else:
print("Hello " + x) # x is a str
def is_bool(x: object) -> TypeNarrower[bool]:
return isinstance(x, bool)
takes_narrower(1, is_bool) # Error: is_bool is not a TypeNarrower[int]
(Note that ``bool`` is a subtype of ``int``.)
This code fails at runtime, because the narrower returns ``False`` (1 is not a ``bool``)
and the ``else`` branch is taken in ``takes_narrower()``.
If the call ``takes_narrower(1, is_bool)`` was allowed, type checkers would fail to
detect this error.
Backwards Compatibility
=======================
As this PEP only proposes a new special form, there are no implications on
backwards compatibility.
Security Implications
=====================
None known.
How to Teach This
=================
Introductions to typing should cover ``TypeNarrower`` when discussing how to narrow types,
along with discussion of other narrowing constructs such as :py:func:`isinstance`. The
documentation should emphasize ``TypeNarrower`` over :py:data:`typing.TypeGuard`; while the
latter is not being deprecated and its behavior is occasionally useful, we expect that the
behavior of ``TypeNarrower`` is usually more intuitive, and most users should reach for
``TypeNarrower`` first.
Reference Implementation
========================
A draft implementation for mypy `is available <https://github.com/python/mypy/pull/16898>`__.
Rejected Ideas
==============
.. _pep-742-change-typeguard:
Change the behavior of ``TypeGuard``
------------------------------------
:pep:`724` previously proposed changing the specified behavior of :py:data:`typing.TypeGuard` so
that if the return type of the guard is consistent with the input type, the behavior proposed
here for ``TypeNarrower`` would apply. This proposal has some important advantages: because it
does not require any runtime changes, it requires changes only in type checkers, making it easier
for users to take advantage of the new, usually more intuitive behavior.
However, this approach has some major problems. Users who have written ``TypeGuard`` functions
expecting the existing semantics specified in :pep:`647` would see subtle and potentially breaking
changes in how type checkers interpret their code. The split behavior of ``TypeGuard``, where it
works one way if the return type is consistent with the input type and another way if it is not,
could be confusing for users. The Typing Council was unable to come to an agreement in favor of
:pep:`724`; as a result, we are proposing this alternative PEP.
Do nothing
----------
Both this PEP and the alternative proposed in :pep:`724` have shortcomings. The latter are
discussed above. As for this PEP, it introduces two special forms with very similar semantics,
and it potentially creates a long migration path for users currently using ``TypeGuard``
who would be better off with different narrowing semantics.
One way forward, then, is to do nothing and live with the current limitations of the type system.
However, we believe that the limitations of the current ``TypeGuard``, as outlined in the "Motivation"
section, are significant enough that it is worthwhile to change the type system to address them.
If we do not make any change, users will continue to encounter the same unintuitive behaviors from
``TypeGuard``, and the type system will be unable to properly represent common type narrowing functions
like ``inspect.isawaitable``.
Open Issues
===========
Naming
------
This PEP currently proposes the name ``TypeNarrower``, emphasizing that the special form narrows
the type of its argument. However, other names have been suggested, and we are open to using a
different name.
Options include:
* ``IsInstance`` (`post by Paul Moore <https://discuss.python.org/t/pep-724-stricter-type-guards/34124/60>`__):
emphasizes that the new construct behaves similarly to the builtin :py:func:`isinstance`.
* ``Narrowed`` or ``NarrowedTo``: shorter than ``TypeNarrower`` but keeps the connection to "type narrowing"
(suggested by Eric Traut).
* ``Predicate`` or ``TypePredicate``: mirrors TypeScript's name for the feature, "type predicates".
* ``StrictTypeGuard`` (earlier drafts of :pep:`724`): emphasizes that the new construct performs a stricter
version of type narrowing than :py:data:`typing.TypeGuard`.
* ``TypeCheck`` (`post by Nicolas Tessore <https://discuss.python.org/t/pep-724-stricter-type-guards/34124/59>`__):
emphasizes the binary nature of the check.
* ``TypeIs``: emphasizes that the function returns whether the argument is of that type; mirrors
`TypeScript's syntax <https://www.typescriptlang.org/docs/handbook/2/narrowing.html#using-type-predicates>`__.
Acknowledgments
===============
Much of the motivation and specification for this PEP derives from :pep:`724`. While
this PEP proposes a different solution for the problem at hand, the authors of :pep:`724`, Eric Traut, Rich
Chiodo, and Erik De Bonte, made a strong case for their proposal and this proposal
would not have been possible without their work.
Copyright
=========
This document is placed in the public domain or under the
CC0-1.0-Universal license, whichever is more permissive.