Rename typing._collect_parameters (#118900)

Unfortunately, released versions of typing_extensions
monkeypatch this function without the extra parameter, which makes
it so things break badly if current main is used with typing_extensions.

Fortunately, the monkeypatching is not needed on Python 3.13, because CPython
now implements PEP 696. By renaming the function, we prevent the monkeypatch
from breaking typing.py internals.

We keep the old name (raising a DeprecationWarning) to help other external users who call it.
This commit is contained in:
Jelle Zijlstra 2024-05-10 09:55:49 -07:00 committed by GitHub
parent f5c6b9977a
commit ec9d12be96
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2 changed files with 29 additions and 8 deletions

View File

@ -45,7 +45,7 @@ import typing
import weakref
import types
from test.support import captured_stderr, cpython_only, infinite_recursion, requires_docstrings
from test.support import captured_stderr, cpython_only, infinite_recursion, requires_docstrings, import_helper
from test.typinganndata import ann_module695, mod_generics_cache, _typed_dict_helper
@ -6325,6 +6325,8 @@ class ForwardRefTests(BaseTestCase):
self.assertEqual(X | "x", Union[X, "x"])
self.assertEqual("x" | X, Union["x", X])
class InternalsTests(BaseTestCase):
def test_deprecation_for_no_type_params_passed_to__evaluate(self):
with self.assertWarnsRegex(
DeprecationWarning,
@ -6350,6 +6352,15 @@ class ForwardRefTests(BaseTestCase):
self.assertEqual(cm.filename, __file__)
def test_collect_parameters(self):
typing = import_helper.import_fresh_module("typing")
with self.assertWarnsRegex(
DeprecationWarning,
"The private _collect_parameters function is deprecated"
) as cm:
typing._collect_parameters
self.assertEqual(cm.filename, __file__)
@lru_cache()
def cached_func(x, y):

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@ -256,15 +256,15 @@ def _type_repr(obj):
return repr(obj)
def _collect_parameters(args, *, enforce_default_ordering: bool = True):
"""Collect all type variables and parameter specifications in args
def _collect_type_parameters(args, *, enforce_default_ordering: bool = True):
"""Collect all type parameters in args
in order of first appearance (lexicographic order).
For example::
>>> P = ParamSpec('P')
>>> T = TypeVar('T')
>>> _collect_parameters((T, Callable[P, T]))
>>> _collect_type_parameters((T, Callable[P, T]))
(~T, ~P)
"""
# required type parameter cannot appear after parameter with default
@ -280,7 +280,7 @@ def _collect_parameters(args, *, enforce_default_ordering: bool = True):
# `t` might be a tuple, when `ParamSpec` is substituted with
# `[T, int]`, or `[int, *Ts]`, etc.
for x in t:
for collected in _collect_parameters([x]):
for collected in _collect_type_parameters([x]):
if collected not in parameters:
parameters.append(collected)
elif hasattr(t, '__typing_subst__'):
@ -320,7 +320,7 @@ def _check_generic_specialization(cls, arguments):
if actual_len < expected_len:
# If the parameter at index `actual_len` in the parameters list
# has a default, then all parameters after it must also have
# one, because we validated as much in _collect_parameters().
# one, because we validated as much in _collect_type_parameters().
# That means that no error needs to be raised here, despite
# the number of arguments being passed not matching the number
# of parameters: all parameters that aren't explicitly
@ -1255,7 +1255,7 @@ def _generic_init_subclass(cls, *args, **kwargs):
if error:
raise TypeError("Cannot inherit from plain Generic")
if '__orig_bases__' in cls.__dict__:
tvars = _collect_parameters(cls.__orig_bases__)
tvars = _collect_type_parameters(cls.__orig_bases__)
# Look for Generic[T1, ..., Tn].
# If found, tvars must be a subset of it.
# If not found, tvars is it.
@ -1417,7 +1417,7 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
self.__args__ = tuple(... if a is _TypingEllipsis else
a for a in args)
enforce_default_ordering = origin in (Generic, Protocol)
self.__parameters__ = _collect_parameters(
self.__parameters__ = _collect_type_parameters(
args,
enforce_default_ordering=enforce_default_ordering,
)
@ -3770,6 +3770,16 @@ def __getattr__(attr):
elif attr in {"ContextManager", "AsyncContextManager"}:
import contextlib
obj = _alias(getattr(contextlib, f"Abstract{attr}"), 2, name=attr, defaults=(bool | None,))
elif attr == "_collect_parameters":
import warnings
depr_message = (
"The private _collect_parameters function is deprecated and will be"
" removed in a future version of Python. Any use of private functions"
" is discouraged and may break in the future."
)
warnings.warn(depr_message, category=DeprecationWarning, stacklevel=2)
obj = _collect_type_parameters
else:
raise AttributeError(f"module {__name__!r} has no attribute {attr!r}")
globals()[attr] = obj