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
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
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):
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.
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::
return arg
-class TypeVarTuple(_Final, _Immutable, _root=True):
+class TypeVarTuple(_Final, _Immutable, _PickleUsingNameMixin, _root=True):
"""Type variable tuple.
Usage:
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]
return self.__origin__ == other.__origin__
-class ParamSpec(_Final, _Immutable, _BoundVarianceMixin, _root=True):
+class ParamSpec(_Final, _Immutable, _BoundVarianceMixin, _PickleUsingNameMixin,
+ _root=True):
"""Parameter specification variable.
Usage::