diff options
| author | robot-piglet <[email protected]> | 2024-06-07 15:53:31 +0300 |
|---|---|---|
| committer | robot-piglet <[email protected]> | 2024-06-07 16:02:44 +0300 |
| commit | 5e57921eed849a3760ad5dea163d9fe6f5acdf71 (patch) | |
| tree | 6b23d8a295479c5c6798df37e203eacbcf5c7e89 /contrib/python | |
| parent | 7de06604a32b63b818e3286ec5006a8c2606ffa1 (diff) | |
Intermediate changes
Diffstat (limited to 'contrib/python')
| -rw-r--r-- | contrib/python/typing-extensions/py3/.dist-info/METADATA | 3 | ||||
| -rw-r--r-- | contrib/python/typing-extensions/py3/typing_extensions.py | 466 | ||||
| -rw-r--r-- | contrib/python/typing-extensions/py3/ya.make | 2 |
3 files changed, 381 insertions, 90 deletions
diff --git a/contrib/python/typing-extensions/py3/.dist-info/METADATA b/contrib/python/typing-extensions/py3/.dist-info/METADATA index 5089b4ddde4..c3cf4bd230d 100644 --- a/contrib/python/typing-extensions/py3/.dist-info/METADATA +++ b/contrib/python/typing-extensions/py3/.dist-info/METADATA @@ -1,6 +1,6 @@ Metadata-Version: 2.1 Name: typing_extensions -Version: 4.11.0 +Version: 4.12.0 Summary: Backported and Experimental Type Hints for Python 3.8+ Keywords: annotations,backport,checker,checking,function,hinting,hints,type,typechecking,typehinting,typehints,typing Author-email: "Guido van Rossum, Jukka Lehtosalo, Ćukasz Langa, Michael Lee" <[email protected]> @@ -18,6 +18,7 @@ Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 Classifier: Topic :: Software Development Project-URL: Bug Tracker, https://github.com/python/typing_extensions/issues Project-URL: Changes, https://github.com/python/typing_extensions/blob/main/CHANGELOG.md diff --git a/contrib/python/typing-extensions/py3/typing_extensions.py b/contrib/python/typing-extensions/py3/typing_extensions.py index 9ccd519ce4f..57e59a8b632 100644 --- a/contrib/python/typing-extensions/py3/typing_extensions.py +++ b/contrib/python/typing-extensions/py3/typing_extensions.py @@ -1,6 +1,7 @@ import abc import collections import collections.abc +import contextlib import functools import inspect import operator @@ -116,6 +117,7 @@ __all__ = [ 'MutableMapping', 'MutableSequence', 'MutableSet', + 'NoDefault', 'Optional', 'Pattern', 'Reversible', @@ -134,6 +136,7 @@ __all__ = [ # for backward compatibility PEP_560 = True GenericMeta = type +_PEP_696_IMPLEMENTED = sys.version_info >= (3, 13, 0, "beta") # The functions below are modified copies of typing internal helpers. # They are needed by _ProtocolMeta and they provide support for PEP 646. @@ -406,17 +409,96 @@ Coroutine = typing.Coroutine AsyncIterable = typing.AsyncIterable AsyncIterator = typing.AsyncIterator Deque = typing.Deque -ContextManager = typing.ContextManager -AsyncContextManager = typing.AsyncContextManager DefaultDict = typing.DefaultDict OrderedDict = typing.OrderedDict Counter = typing.Counter ChainMap = typing.ChainMap -AsyncGenerator = typing.AsyncGenerator Text = typing.Text TYPE_CHECKING = typing.TYPE_CHECKING +if sys.version_info >= (3, 13, 0, "beta"): + from typing import ContextManager, AsyncContextManager, Generator, AsyncGenerator +else: + def _is_dunder(attr): + return attr.startswith('__') and attr.endswith('__') + + # Python <3.9 doesn't have typing._SpecialGenericAlias + _special_generic_alias_base = getattr( + typing, "_SpecialGenericAlias", typing._GenericAlias + ) + + class _SpecialGenericAlias(_special_generic_alias_base, _root=True): + def __init__(self, origin, nparams, *, inst=True, name=None, defaults=()): + if _special_generic_alias_base is typing._GenericAlias: + # Python <3.9 + self.__origin__ = origin + self._nparams = nparams + super().__init__(origin, nparams, special=True, inst=inst, name=name) + else: + # Python >= 3.9 + super().__init__(origin, nparams, inst=inst, name=name) + self._defaults = defaults + + def __setattr__(self, attr, val): + allowed_attrs = {'_name', '_inst', '_nparams', '_defaults'} + if _special_generic_alias_base is typing._GenericAlias: + # Python <3.9 + allowed_attrs.add("__origin__") + if _is_dunder(attr) or attr in allowed_attrs: + object.__setattr__(self, attr, val) + else: + setattr(self.__origin__, attr, val) + + @typing._tp_cache + def __getitem__(self, params): + if not isinstance(params, tuple): + params = (params,) + msg = "Parameters to generic types must be types." + params = tuple(typing._type_check(p, msg) for p in params) + if ( + self._defaults + and len(params) < self._nparams + and len(params) + len(self._defaults) >= self._nparams + ): + params = (*params, *self._defaults[len(params) - self._nparams:]) + actual_len = len(params) + + if actual_len != self._nparams: + if self._defaults: + expected = f"at least {self._nparams - len(self._defaults)}" + else: + expected = str(self._nparams) + if not self._nparams: + raise TypeError(f"{self} is not a generic class") + raise TypeError( + f"Too {'many' if actual_len > self._nparams else 'few'}" + f" arguments for {self};" + f" actual {actual_len}, expected {expected}" + ) + return self.copy_with(params) + + _NoneType = type(None) + Generator = _SpecialGenericAlias( + collections.abc.Generator, 3, defaults=(_NoneType, _NoneType) + ) + AsyncGenerator = _SpecialGenericAlias( + collections.abc.AsyncGenerator, 2, defaults=(_NoneType,) + ) + ContextManager = _SpecialGenericAlias( + contextlib.AbstractContextManager, + 2, + name="ContextManager", + defaults=(typing.Optional[bool],) + ) + AsyncContextManager = _SpecialGenericAlias( + contextlib.AbstractAsyncContextManager, + 2, + name="AsyncContextManager", + defaults=(typing.Optional[bool],) + ) + + _PROTO_ALLOWLIST = { 'collections.abc': [ 'Callable', 'Awaitable', 'Iterable', 'Iterator', 'AsyncIterable', @@ -427,23 +509,11 @@ _PROTO_ALLOWLIST = { } -_EXCLUDED_ATTRS = { - "__abstractmethods__", "__annotations__", "__weakref__", "_is_protocol", - "_is_runtime_protocol", "__dict__", "__slots__", "__parameters__", - "__orig_bases__", "__module__", "_MutableMapping__marker", "__doc__", - "__subclasshook__", "__orig_class__", "__init__", "__new__", - "__protocol_attrs__", "__non_callable_proto_members__", - "__match_args__", +_EXCLUDED_ATTRS = frozenset(typing.EXCLUDED_ATTRIBUTES) | { + "__match_args__", "__protocol_attrs__", "__non_callable_proto_members__", + "__final__", } -if sys.version_info >= (3, 9): - _EXCLUDED_ATTRS.add("__class_getitem__") - -if sys.version_info >= (3, 12): - _EXCLUDED_ATTRS.add("__type_params__") - -_EXCLUDED_ATTRS = frozenset(_EXCLUDED_ATTRS) - def _get_protocol_attrs(cls): attrs = set() @@ -673,9 +743,14 @@ else: ' got %r' % cls) cls._is_runtime_protocol = True - # Only execute the following block if it's a typing_extensions.Protocol class. - # typing.Protocol classes don't need it. - if isinstance(cls, _ProtocolMeta): + # typing.Protocol classes on <=3.11 break if we execute this block, + # because typing.Protocol classes on <=3.11 don't have a + # `__protocol_attrs__` attribute, and this block relies on the + # `__protocol_attrs__` attribute. Meanwhile, typing.Protocol classes on 3.12.2+ + # break if we *don't* execute this block, because *they* assume that all + # protocol classes have a `__non_callable_proto_members__` attribute + # (which this block sets) + if isinstance(cls, _ProtocolMeta) or sys.version_info >= (3, 12, 2): # PEP 544 prohibits using issubclass() # with protocols that have non-method members. # See gh-113320 for why we compute this attribute here, @@ -1362,17 +1437,37 @@ else: ) +if hasattr(typing, "NoDefault"): + NoDefault = typing.NoDefault +else: + class NoDefaultTypeMeta(type): + def __setattr__(cls, attr, value): + # TypeError is consistent with the behavior of NoneType + raise TypeError( + f"cannot set {attr!r} attribute of immutable type {cls.__name__!r}" + ) + + class NoDefaultType(metaclass=NoDefaultTypeMeta): + """The type of the NoDefault singleton.""" + + __slots__ = () + + def __new__(cls): + return globals().get("NoDefault") or object.__new__(cls) + + def __repr__(self): + return "typing_extensions.NoDefault" + + def __reduce__(self): + return "NoDefault" + + NoDefault = NoDefaultType() + del NoDefaultType, NoDefaultTypeMeta + + def _set_default(type_param, default): - if isinstance(default, (tuple, list)): - type_param.__default__ = tuple((typing._type_check(d, "Default must be a type") - for d in default)) - elif default != _marker: - if isinstance(type_param, ParamSpec) and default is ...: # ... not valid <3.11 - type_param.__default__ = default - else: - type_param.__default__ = typing._type_check(default, "Default must be a type") - else: - type_param.__default__ = None + type_param.has_default = lambda: default is not NoDefault + type_param.__default__ = default def _set_module(typevarlike): @@ -1395,32 +1490,46 @@ class _TypeVarLikeMeta(type): return isinstance(__instance, cls._backported_typevarlike) -# Add default and infer_variance parameters from PEP 696 and 695 -class TypeVar(metaclass=_TypeVarLikeMeta): - """Type variable.""" +if _PEP_696_IMPLEMENTED: + from typing import TypeVar +else: + # Add default and infer_variance parameters from PEP 696 and 695 + class TypeVar(metaclass=_TypeVarLikeMeta): + """Type variable.""" - _backported_typevarlike = typing.TypeVar + _backported_typevarlike = typing.TypeVar - def __new__(cls, name, *constraints, bound=None, - covariant=False, contravariant=False, - default=_marker, infer_variance=False): - if hasattr(typing, "TypeAliasType"): - # PEP 695 implemented (3.12+), can pass infer_variance to typing.TypeVar - typevar = typing.TypeVar(name, *constraints, bound=bound, - covariant=covariant, contravariant=contravariant, - infer_variance=infer_variance) - else: - typevar = typing.TypeVar(name, *constraints, bound=bound, - covariant=covariant, contravariant=contravariant) - if infer_variance and (covariant or contravariant): - raise ValueError("Variance cannot be specified with infer_variance.") - typevar.__infer_variance__ = infer_variance - _set_default(typevar, default) - _set_module(typevar) - return typevar + def __new__(cls, name, *constraints, bound=None, + covariant=False, contravariant=False, + default=NoDefault, infer_variance=False): + if hasattr(typing, "TypeAliasType"): + # PEP 695 implemented (3.12+), can pass infer_variance to typing.TypeVar + typevar = typing.TypeVar(name, *constraints, bound=bound, + covariant=covariant, contravariant=contravariant, + infer_variance=infer_variance) + else: + typevar = typing.TypeVar(name, *constraints, bound=bound, + covariant=covariant, contravariant=contravariant) + if infer_variance and (covariant or contravariant): + raise ValueError("Variance cannot be specified with infer_variance.") + typevar.__infer_variance__ = infer_variance + + _set_default(typevar, default) + _set_module(typevar) + + def _tvar_prepare_subst(alias, args): + if ( + typevar.has_default() + and alias.__parameters__.index(typevar) == len(args) + ): + args += (typevar.__default__,) + return args - def __init_subclass__(cls) -> None: - raise TypeError(f"type '{__name__}.TypeVar' is not an acceptable base type") + typevar.__typing_prepare_subst__ = _tvar_prepare_subst + return typevar + + def __init_subclass__(cls) -> None: + raise TypeError(f"type '{__name__}.TypeVar' is not an acceptable base type") # Python 3.10+ has PEP 612 @@ -1485,8 +1594,12 @@ else: return NotImplemented return self.__origin__ == other.__origin__ + +if _PEP_696_IMPLEMENTED: + from typing import ParamSpec + # 3.10+ -if hasattr(typing, 'ParamSpec'): +elif hasattr(typing, 'ParamSpec'): # Add default parameter - PEP 696 class ParamSpec(metaclass=_TypeVarLikeMeta): @@ -1496,7 +1609,7 @@ if hasattr(typing, 'ParamSpec'): def __new__(cls, name, *, bound=None, covariant=False, contravariant=False, - infer_variance=False, default=_marker): + infer_variance=False, default=NoDefault): if hasattr(typing, "TypeAliasType"): # PEP 695 implemented, can pass infer_variance to typing.TypeVar paramspec = typing.ParamSpec(name, bound=bound, @@ -1511,6 +1624,24 @@ if hasattr(typing, 'ParamSpec'): _set_default(paramspec, default) _set_module(paramspec) + + def _paramspec_prepare_subst(alias, args): + params = alias.__parameters__ + i = params.index(paramspec) + if i == len(args) and paramspec.has_default(): + args = [*args, paramspec.__default__] + if i >= len(args): + raise TypeError(f"Too few arguments for {alias}") + # Special case where Z[[int, str, bool]] == Z[int, str, bool] in PEP 612. + if len(params) == 1 and not typing._is_param_expr(args[0]): + assert i == 0 + args = (args,) + # Convert lists to tuples to help other libraries cache the results. + elif isinstance(args[i], list): + args = (*args[:i], tuple(args[i]), *args[i + 1:]) + return args + + paramspec.__typing_prepare_subst__ = _paramspec_prepare_subst return paramspec def __init_subclass__(cls) -> None: @@ -1579,8 +1710,8 @@ else: return ParamSpecKwargs(self) def __init__(self, name, *, bound=None, covariant=False, contravariant=False, - infer_variance=False, default=_marker): - super().__init__([self]) + infer_variance=False, default=NoDefault): + list.__init__(self, [self]) self.__name__ = name self.__covariant__ = bool(covariant) self.__contravariant__ = bool(contravariant) @@ -2209,6 +2340,17 @@ elif sys.version_info[:2] >= (3, 9): # 3.9+ class _UnpackAlias(typing._GenericAlias, _root=True): __class__ = typing.TypeVar + @property + def __typing_unpacked_tuple_args__(self): + assert self.__origin__ is Unpack + assert len(self.__args__) == 1 + arg, = self.__args__ + if isinstance(arg, (typing._GenericAlias, _types.GenericAlias)): + if arg.__origin__ is not tuple: + raise TypeError("Unpack[...] must be used with a tuple type") + return arg.__args__ + return None + @_UnpackSpecialForm def Unpack(self, parameters): item = typing._type_check(parameters, f'{self._name} accepts only a single type.') @@ -2233,7 +2375,20 @@ else: # 3.8 return isinstance(obj, _UnpackAlias) -if hasattr(typing, "TypeVarTuple"): # 3.11+ +if _PEP_696_IMPLEMENTED: + from typing import TypeVarTuple + +elif hasattr(typing, "TypeVarTuple"): # 3.11+ + + def _unpack_args(*args): + newargs = [] + for arg in args: + subargs = getattr(arg, '__typing_unpacked_tuple_args__', None) + if subargs is not None and not (subargs and subargs[-1] is ...): + newargs.extend(subargs) + else: + newargs.append(arg) + return newargs # Add default parameter - PEP 696 class TypeVarTuple(metaclass=_TypeVarLikeMeta): @@ -2241,10 +2396,57 @@ if hasattr(typing, "TypeVarTuple"): # 3.11+ _backported_typevarlike = typing.TypeVarTuple - def __new__(cls, name, *, default=_marker): + def __new__(cls, name, *, default=NoDefault): tvt = typing.TypeVarTuple(name) _set_default(tvt, default) _set_module(tvt) + + def _typevartuple_prepare_subst(alias, args): + params = alias.__parameters__ + typevartuple_index = params.index(tvt) + for param in params[typevartuple_index + 1:]: + if isinstance(param, TypeVarTuple): + raise TypeError( + f"More than one TypeVarTuple parameter in {alias}" + ) + + alen = len(args) + plen = len(params) + left = typevartuple_index + right = plen - typevartuple_index - 1 + var_tuple_index = None + fillarg = None + for k, arg in enumerate(args): + if not isinstance(arg, type): + subargs = getattr(arg, '__typing_unpacked_tuple_args__', None) + if subargs and len(subargs) == 2 and subargs[-1] is ...: + if var_tuple_index is not None: + raise TypeError( + "More than one unpacked " + "arbitrary-length tuple argument" + ) + var_tuple_index = k + fillarg = subargs[0] + if var_tuple_index is not None: + left = min(left, var_tuple_index) + right = min(right, alen - var_tuple_index - 1) + elif left + right > alen: + raise TypeError(f"Too few arguments for {alias};" + f" actual {alen}, expected at least {plen - 1}") + if left == alen - right and tvt.has_default(): + replacement = _unpack_args(tvt.__default__) + else: + replacement = args[left: alen - right] + + return ( + *args[:left], + *([fillarg] * (typevartuple_index - left)), + replacement, + *([fillarg] * (plen - right - left - typevartuple_index - 1)), + *args[alen - right:], + ) + + tvt.__typing_prepare_subst__ = _typevartuple_prepare_subst return tvt def __init_subclass__(self, *args, **kwds): @@ -2301,7 +2503,7 @@ else: # <=3.10 def __iter__(self): yield self.__unpacked__ - def __init__(self, name, *, default=_marker): + def __init__(self, name, *, default=NoDefault): self.__name__ = name _DefaultMixin.__init__(self, default) @@ -2352,6 +2554,12 @@ else: # <=3.10 return obj +if hasattr(typing, "_ASSERT_NEVER_REPR_MAX_LENGTH"): # 3.11+ + _ASSERT_NEVER_REPR_MAX_LENGTH = typing._ASSERT_NEVER_REPR_MAX_LENGTH +else: # <=3.10 + _ASSERT_NEVER_REPR_MAX_LENGTH = 100 + + if hasattr(typing, "assert_never"): # 3.11+ assert_never = typing.assert_never else: # <=3.10 @@ -2375,7 +2583,10 @@ else: # <=3.10 At runtime, this throws an exception when called. """ - raise AssertionError("Expected code to be unreachable") + value = repr(arg) + if len(value) > _ASSERT_NEVER_REPR_MAX_LENGTH: + value = value[:_ASSERT_NEVER_REPR_MAX_LENGTH] + '...' + raise AssertionError(f"Expected code to be unreachable, but got: {value}") if sys.version_info >= (3, 12): # 3.12+ @@ -2677,11 +2888,14 @@ if not hasattr(typing, "TypeVarTuple"): if alen < elen: # since we validate TypeVarLike default in _collect_type_vars # or _collect_parameters we can safely check parameters[alen] - if getattr(parameters[alen], '__default__', None) is not None: + if ( + getattr(parameters[alen], '__default__', NoDefault) + is not NoDefault + ): return - num_default_tv = sum(getattr(p, '__default__', None) - is not None for p in parameters) + num_default_tv = sum(getattr(p, '__default__', NoDefault) + is not NoDefault for p in parameters) elen -= num_default_tv @@ -2711,11 +2925,14 @@ else: if alen < elen: # since we validate TypeVarLike default in _collect_type_vars # or _collect_parameters we can safely check parameters[alen] - if getattr(parameters[alen], '__default__', None) is not None: + if ( + getattr(parameters[alen], '__default__', NoDefault) + is not NoDefault + ): return - num_default_tv = sum(getattr(p, '__default__', None) - is not None for p in parameters) + num_default_tv = sum(getattr(p, '__default__', NoDefault) + is not NoDefault for p in parameters) elen -= num_default_tv @@ -2724,7 +2941,35 @@ else: raise TypeError(f"Too {'many' if alen > elen else 'few'} arguments" f" for {cls}; actual {alen}, expected {expect_val}") -typing._check_generic = _check_generic +if not _PEP_696_IMPLEMENTED: + typing._check_generic = _check_generic + + +def _has_generic_or_protocol_as_origin() -> bool: + try: + frame = sys._getframe(2) + # not all platforms have sys._getframe() + except AttributeError: + return False # err on the side of leniency + else: + return frame.f_locals.get("origin") in { + typing.Generic, Protocol, typing.Protocol + } + + +_TYPEVARTUPLE_TYPES = {TypeVarTuple, getattr(typing, "TypeVarTuple", None)} + + +def _is_unpacked_typevartuple(x) -> bool: + if get_origin(x) is not Unpack: + return False + args = get_args(x) + return ( + bool(args) + and len(args) == 1 + and type(args[0]) in _TYPEVARTUPLE_TYPES + ) + # Python 3.11+ _collect_type_vars was renamed to _collect_parameters if hasattr(typing, '_collect_type_vars'): @@ -2737,19 +2982,29 @@ if hasattr(typing, '_collect_type_vars'): if typevar_types is None: typevar_types = typing.TypeVar tvars = [] - # required TypeVarLike cannot appear after TypeVarLike with default + + # A required TypeVarLike cannot appear after a TypeVarLike with a default + # if it was a direct call to `Generic[]` or `Protocol[]` + enforce_default_ordering = _has_generic_or_protocol_as_origin() default_encountered = False + + # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple + type_var_tuple_encountered = False + for t in types: - if ( - isinstance(t, typevar_types) and - t not in tvars and - not _is_unpack(t) - ): - if getattr(t, '__default__', None) is not None: - default_encountered = True - elif default_encountered: - raise TypeError(f'Type parameter {t!r} without a default' - ' follows type parameter with a default') + if _is_unpacked_typevartuple(t): + type_var_tuple_encountered = True + elif isinstance(t, typevar_types) and t not in tvars: + if enforce_default_ordering: + has_default = getattr(t, '__default__', NoDefault) is not NoDefault + if has_default: + if type_var_tuple_encountered: + raise TypeError('Type parameter with a default' + ' follows TypeVarTuple') + default_encountered = True + elif default_encountered: + raise TypeError(f'Type parameter {t!r} without a default' + ' follows type parameter with a default') tvars.append(t) if _should_collect_from_parameters(t): @@ -2767,8 +3022,15 @@ else: assert _collect_parameters((T, Callable[P, T])) == (T, P) """ parameters = [] - # required TypeVarLike cannot appear after TypeVarLike with default + + # A required TypeVarLike cannot appear after a TypeVarLike with default + # if it was a direct call to `Generic[]` or `Protocol[]` + enforce_default_ordering = _has_generic_or_protocol_as_origin() default_encountered = False + + # Also, a TypeVarLike with a default cannot appear after a TypeVarTuple + type_var_tuple_encountered = False + for t in args: if isinstance(t, type): # We don't want __parameters__ descriptor of a bare Python class. @@ -2782,21 +3044,33 @@ else: parameters.append(collected) elif hasattr(t, '__typing_subst__'): if t not in parameters: - if getattr(t, '__default__', None) is not None: - default_encountered = True - elif default_encountered: - raise TypeError(f'Type parameter {t!r} without a default' - ' follows type parameter with a default') + if enforce_default_ordering: + has_default = ( + getattr(t, '__default__', NoDefault) is not NoDefault + ) + + if type_var_tuple_encountered and has_default: + raise TypeError('Type parameter with a default' + ' follows TypeVarTuple') + + if has_default: + default_encountered = True + elif default_encountered: + raise TypeError(f'Type parameter {t!r} without a default' + ' follows type parameter with a default') parameters.append(t) else: + if _is_unpacked_typevartuple(t): + type_var_tuple_encountered = True for x in getattr(t, '__parameters__', ()): if x not in parameters: parameters.append(x) return tuple(parameters) - typing._collect_parameters = _collect_parameters + if not _PEP_696_IMPLEMENTED: + typing._collect_parameters = _collect_parameters # Backport typing.NamedTuple as it exists in Python 3.13. # In 3.11, the ability to define generic `NamedTuple`s was supported. @@ -3289,6 +3563,23 @@ else: return self.documentation == other.documentation +_CapsuleType = getattr(_types, "CapsuleType", None) + +if _CapsuleType is None: + try: + import _socket + except ImportError: + pass + else: + _CAPI = getattr(_socket, "CAPI", None) + if _CAPI is not None: + _CapsuleType = type(_CAPI) + +if _CapsuleType is not None: + CapsuleType = _CapsuleType + __all__.append("CapsuleType") + + # Aliases for items that have always been in typing. # Explicitly assign these (rather than using `from typing import *` at the top), # so that we get a CI error if one of these is deleted from typing.py @@ -3302,7 +3593,6 @@ Container = typing.Container Dict = typing.Dict ForwardRef = typing.ForwardRef FrozenSet = typing.FrozenSet -Generator = typing.Generator Generic = typing.Generic Hashable = typing.Hashable IO = typing.IO diff --git a/contrib/python/typing-extensions/py3/ya.make b/contrib/python/typing-extensions/py3/ya.make index 293ccb585ea..7f848b64ea8 100644 --- a/contrib/python/typing-extensions/py3/ya.make +++ b/contrib/python/typing-extensions/py3/ya.make @@ -2,7 +2,7 @@ PY3_LIBRARY() -VERSION(4.11.0) +VERSION(4.12.0) LICENSE(PSF-2.0) |
