bpo-43224: Implement pickling of TypeVarTuples (#32119)

Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com>
This commit is contained in:
Matthew Rahtz 2022-04-22 05:22:53 +01:00 committed by GitHub
parent 2551a6c92f
commit 5e130a8da4
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2 changed files with 74 additions and 7 deletions

View file

@ -1,7 +1,7 @@
import contextlib
import collections
from collections import defaultdict
from functools import lru_cache
from functools import lru_cache, wraps
import inspect
import pickle
import re
@ -70,6 +70,18 @@ class BaseTestCase(TestCase):
f()
def all_pickle_protocols(test_func):
"""Runs `test_func` with various values for `proto` argument."""
@wraps(test_func)
def wrapper(self):
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
with self.subTest(pickle_proto=proto):
test_func(self, proto=proto)
return wrapper
class Employee:
pass
@ -911,6 +923,48 @@ class TypeVarTupleTests(BaseTestCase):
self.assertNotEqual(C[Unpack[Ts1]], C[Unpack[Ts2]])
class TypeVarTuplePicklingTests(BaseTestCase):
# These are slightly awkward tests to run, because TypeVarTuples are only
# picklable if defined in the global scope. We therefore need to push
# various things defined in these tests into the global scope with `global`
# statements at the start of each test.
@all_pickle_protocols
def test_pickling_then_unpickling_results_in_same_identity(self, proto):
global Ts1 # See explanation at start of class.
Ts1 = TypeVarTuple('Ts1')
Ts2 = pickle.loads(pickle.dumps(Ts1, proto))
self.assertIs(Ts1, Ts2)
@all_pickle_protocols
def test_pickling_then_unpickling_unpacked_results_in_same_identity(self, proto):
global Ts # See explanation at start of class.
Ts = TypeVarTuple('Ts')
unpacked1 = Unpack[Ts]
unpacked2 = pickle.loads(pickle.dumps(unpacked1, proto))
self.assertIs(unpacked1, unpacked2)
@all_pickle_protocols
def test_pickling_then_unpickling_tuple_with_typevartuple_equality(
self, proto
):
global T, Ts # See explanation at start of class.
T = TypeVar('T')
Ts = TypeVarTuple('Ts')
a1 = Tuple[Unpack[Ts]]
a2 = pickle.loads(pickle.dumps(a1, proto))
self.assertEqual(a1, a2)
a1 = Tuple[T, Unpack[Ts]]
a2 = pickle.loads(pickle.dumps(a1, proto))
self.assertEqual(a1, a2)
a1 = Tuple[int, Unpack[Ts]]
a2 = pickle.loads(pickle.dumps(a1, proto))
self.assertEqual(a1, a2)
class UnionTests(BaseTestCase):
def test_basics(self):

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@ -867,6 +867,13 @@ def _is_typevar_like(x: Any) -> bool:
return isinstance(x, (TypeVar, ParamSpec)) or _is_unpacked_typevartuple(x)
class _PickleUsingNameMixin:
"""Mixin enabling pickling based on self.__name__."""
def __reduce__(self):
return self.__name__
class _BoundVarianceMixin:
"""Mixin giving __init__ bound and variance arguments.
@ -903,11 +910,9 @@ class _BoundVarianceMixin:
prefix = '~'
return prefix + self.__name__
def __reduce__(self):
return self.__name__
class TypeVar(_Final, _Immutable, _BoundVarianceMixin, _root=True):
class TypeVar(_Final, _Immutable, _BoundVarianceMixin, _PickleUsingNameMixin,
_root=True):
"""Type variable.
Usage::
@ -973,7 +978,7 @@ class TypeVar(_Final, _Immutable, _BoundVarianceMixin, _root=True):
return arg
class TypeVarTuple(_Final, _Immutable, _root=True):
class TypeVarTuple(_Final, _Immutable, _PickleUsingNameMixin, _root=True):
"""Type variable tuple.
Usage:
@ -994,11 +999,18 @@ class TypeVarTuple(_Final, _Immutable, _root=True):
C[()] # Even this is fine
For more details, see PEP 646.
Note that only TypeVarTuples defined in global scope can be pickled.
"""
def __init__(self, name):
self.__name__ = name
# Used for pickling.
def_mod = _caller()
if def_mod != 'typing':
self.__module__ = def_mod
def __iter__(self):
yield Unpack[self]
@ -1057,7 +1069,8 @@ class ParamSpecKwargs(_Final, _Immutable, _root=True):
return self.__origin__ == other.__origin__
class ParamSpec(_Final, _Immutable, _BoundVarianceMixin, _root=True):
class ParamSpec(_Final, _Immutable, _BoundVarianceMixin, _PickleUsingNameMixin,
_root=True):
"""Parameter specification variable.
Usage::