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bpo-43224: Implement PEP 646 changes to typing.py (GH-31021)
Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com>
This commit is contained in:
parent
13331a12c3
commit
7a793a388b
3 changed files with 646 additions and 22 deletions
235
Lib/typing.py
235
Lib/typing.py
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@ -5,7 +5,7 @@ At large scale, the structure of the module is following:
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* Imports and exports, all public names should be explicitly added to __all__.
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* Internal helper functions: these should never be used in code outside this module.
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* _SpecialForm and its instances (special forms):
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Any, NoReturn, Never, ClassVar, Union, Optional, Concatenate
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Any, NoReturn, Never, ClassVar, Union, Optional, Concatenate, Unpack
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* Classes whose instances can be type arguments in addition to types:
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ForwardRef, TypeVar and ParamSpec
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* The core of internal generics API: _GenericAlias and _VariadicGenericAlias, the latter is
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@ -56,6 +56,7 @@ __all__ = [
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'Tuple',
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'Type',
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'TypeVar',
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'TypeVarTuple',
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'Union',
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# ABCs (from collections.abc).
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@ -139,6 +140,7 @@ __all__ = [
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'TYPE_CHECKING',
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'TypeAlias',
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'TypeGuard',
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'Unpack',
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]
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# The pseudo-submodules 're' and 'io' are part of the public
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@ -182,7 +184,7 @@ def _type_check(arg, msg, is_argument=True, module=None, *, allow_special_forms=
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if isinstance(arg, _SpecialForm) or arg in (Generic, Protocol):
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raise TypeError(f"Plain {arg} is not valid as type argument")
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if isinstance(arg, (type, TypeVar, ForwardRef, types.UnionType, ParamSpec,
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ParamSpecArgs, ParamSpecKwargs)):
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ParamSpecArgs, ParamSpecKwargs, TypeVarTuple)):
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return arg
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if not callable(arg):
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raise TypeError(f"{msg} Got {arg!r:.100}.")
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@ -793,8 +795,28 @@ class ForwardRef(_Final, _root=True):
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module_repr = f', module={self.__forward_module__!r}'
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return f'ForwardRef({self.__forward_arg__!r}{module_repr})'
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class _TypeVarLike:
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"""Mixin for TypeVar-like types (TypeVar and ParamSpec)."""
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def _is_unpacked_typevartuple(x: Any) -> bool:
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return (
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isinstance(x, _UnpackGenericAlias)
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# If x is Unpack[tuple[...]], __parameters__ will be empty.
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and x.__parameters__
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and isinstance(x.__parameters__[0], TypeVarTuple)
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)
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def _is_typevar_like(x: Any) -> bool:
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return isinstance(x, (TypeVar, ParamSpec)) or _is_unpacked_typevartuple(x)
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class _BoundVarianceMixin:
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"""Mixin giving __init__ bound and variance arguments.
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This is used by TypeVar and ParamSpec, which both employ the notions of
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a type 'bound' (restricting type arguments to be a subtype of some
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specified type) and type 'variance' (determining subtype relations between
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generic types).
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"""
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def __init__(self, bound, covariant, contravariant):
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"""Used to setup TypeVars and ParamSpec's bound, covariant and
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contravariant attributes.
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@ -827,7 +849,7 @@ class _TypeVarLike:
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return self.__name__
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class TypeVar( _Final, _Immutable, _TypeVarLike, _root=True):
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class TypeVar(_Final, _Immutable, _BoundVarianceMixin, _root=True):
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"""Type variable.
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Usage::
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@ -886,6 +908,39 @@ class TypeVar( _Final, _Immutable, _TypeVarLike, _root=True):
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self.__module__ = def_mod
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class TypeVarTuple(_Final, _Immutable, _root=True):
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"""Type variable tuple.
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Usage:
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Ts = TypeVarTuple('Ts') # Can be given any name
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Just as a TypeVar (type variable) is a placeholder for a single type,
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a TypeVarTuple is a placeholder for an *arbitrary* number of types. For
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example, if we define a generic class using a TypeVarTuple:
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class C(Generic[*Ts]): ...
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Then we can parameterize that class with an arbitrary number of type
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arguments:
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C[int] # Fine
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C[int, str] # Also fine
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C[()] # Even this is fine
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For more details, see PEP 646.
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"""
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def __init__(self, name):
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self._name = name
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def __iter__(self):
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yield Unpack[self]
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def __repr__(self):
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return self._name
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class ParamSpecArgs(_Final, _Immutable, _root=True):
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"""The args for a ParamSpec object.
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@ -934,7 +989,7 @@ class ParamSpecKwargs(_Final, _Immutable, _root=True):
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return self.__origin__ == other.__origin__
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class ParamSpec(_Final, _Immutable, _TypeVarLike, _root=True):
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class ParamSpec(_Final, _Immutable, _BoundVarianceMixin, _root=True):
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"""Parameter specification variable.
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Usage::
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@ -1065,6 +1120,45 @@ class _BaseGenericAlias(_Final, _root=True):
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return list(set(super().__dir__()
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+ [attr for attr in dir(self.__origin__) if not _is_dunder(attr)]))
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def _is_unpacked_tuple(x: Any) -> bool:
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# Is `x` something like `*tuple[int]` or `*tuple[int, ...]`?
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if not isinstance(x, _UnpackGenericAlias):
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return False
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# Alright, `x` is `Unpack[something]`.
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# `x` will always have `__args__`, because Unpack[] and Unpack[()]
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# aren't legal.
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unpacked_type = x.__args__[0]
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return getattr(unpacked_type, '__origin__', None) is tuple
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def _is_unpacked_arbitrary_length_tuple(x: Any) -> bool:
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if not _is_unpacked_tuple(x):
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return False
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unpacked_tuple = x.__args__[0]
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if not hasattr(unpacked_tuple, '__args__'):
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# It's `Unpack[tuple]`. We can't make any assumptions about the length
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# of the tuple, so it's effectively an arbitrary-length tuple.
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return True
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tuple_args = unpacked_tuple.__args__
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if not tuple_args:
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# It's `Unpack[tuple[()]]`.
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return False
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last_arg = tuple_args[-1]
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if last_arg is Ellipsis:
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# It's `Unpack[tuple[something, ...]]`, which is arbitrary-length.
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return True
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# If the arguments didn't end with an ellipsis, then it's not an
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# arbitrary-length tuple.
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return False
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# Special typing constructs Union, Optional, Generic, Callable and Tuple
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# use three special attributes for internal bookkeeping of generic types:
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# * __parameters__ is a tuple of unique free type parameters of a generic
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@ -1103,7 +1197,7 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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# TypeVar[bool]
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def __init__(self, origin, args, *, inst=True, name=None,
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_typevar_types=TypeVar,
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_typevar_types=(TypeVar, TypeVarTuple),
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_paramspec_tvars=False):
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super().__init__(origin, inst=inst, name=name)
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if not isinstance(args, tuple):
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@ -1160,7 +1254,10 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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if (self._paramspec_tvars
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and any(isinstance(t, ParamSpec) for t in self.__parameters__)):
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args = _prepare_paramspec_params(self, args)
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else:
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elif not any(isinstance(p, TypeVarTuple) for p in self.__parameters__):
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# We only run this if there are no TypeVarTuples, because we
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# don't check variadic generic arity at runtime (to reduce
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# complexity of typing.py).
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_check_generic(self, args, len(self.__parameters__))
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new_args = self._determine_new_args(args)
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@ -1182,6 +1279,10 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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# anything more exotic than a plain `TypeVar`, we need to consider
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# edge cases.
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if any(isinstance(p, TypeVarTuple) for p in self.__parameters__):
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raise NotImplementedError(
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"Type substitution for TypeVarTuples is not yet implemented"
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)
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# In the example above, this would be {T3: str}
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new_arg_by_param = dict(zip(self.__parameters__, args))
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@ -1195,6 +1296,10 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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f"ParamSpec, or Concatenate. Got {new_arg}")
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elif isinstance(old_arg, self._typevar_types):
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new_arg = new_arg_by_param[old_arg]
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elif (TypeVarTuple in self._typevar_types
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and _is_unpacked_typevartuple(old_arg)):
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original_typevartuple = old_arg.__parameters__[0]
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new_arg = new_arg_by_param[original_typevartuple]
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elif isinstance(old_arg, (_GenericAlias, GenericAlias, types.UnionType)):
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subparams = old_arg.__parameters__
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if not subparams:
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@ -1217,6 +1322,17 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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# ...we need to be careful; `new_args` should end up as
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# `(int, str, float)` rather than `([int, str], float)`.
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new_args.extend(new_arg)
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elif _is_unpacked_typevartuple(old_arg):
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# Consider the following `_GenericAlias`, `B`:
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# class A(Generic[*Ts]): ...
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# B = A[T, *Ts]
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# If we then do:
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# B[float, int, str]
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# The `new_arg` corresponding to `T` will be `float`, and the
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# `new_arg` corresponding to `*Ts` will be `(int, str)`. We
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# should join all these types together in a flat list
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# `(float, int, str)` - so again, we should `extend`.
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new_args.extend(new_arg)
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else:
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new_args.append(new_arg)
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@ -1230,7 +1346,11 @@ class _GenericAlias(_BaseGenericAlias, _root=True):
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name = 'typing.' + self._name
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else:
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name = _type_repr(self.__origin__)
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args = ", ".join([_type_repr(a) for a in self.__args__])
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if self.__args__:
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args = ", ".join([_type_repr(a) for a in self.__args__])
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else:
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# To ensure the repr is eval-able.
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args = "()"
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return f'{name}[{args}]'
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def __reduce__(self):
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return ()
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return (self.__origin__,)
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def __iter__(self):
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yield Unpack[self]
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# _nparams is the number of accepted parameters, e.g. 0 for Hashable,
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# 1 for List and 2 for Dict. It may be -1 if variable number of
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@ -1365,10 +1488,10 @@ class _TupleType(_SpecialGenericAlias, _root=True):
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return self.copy_with((_TypingEmpty,))
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if not isinstance(params, tuple):
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params = (params,)
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if len(params) == 2 and params[1] is ...:
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if len(params) >= 2 and params[-1] is ...:
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msg = "Tuple[t, ...]: t must be a type."
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p = _type_check(params[0], msg)
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return self.copy_with((p, _TypingEllipsis))
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params = tuple(_type_check(p, msg) for p in params[:-1])
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return self.copy_with((*params, _TypingEllipsis))
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msg = "Tuple[t0, t1, ...]: each t must be a type."
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params = tuple(_type_check(p, msg) for p in params)
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return self.copy_with(params)
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@ -1441,6 +1564,48 @@ class _ConcatenateGenericAlias(_GenericAlias, _root=True):
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return super().copy_with(params)
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@_SpecialForm
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def Unpack(self, parameters):
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"""Type unpack operator.
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The type unpack operator takes the child types from some container type,
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such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For
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example:
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# For some generic class `Foo`:
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Foo[Unpack[tuple[int, str]]] # Equivalent to Foo[int, str]
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Ts = TypeVarTuple('Ts')
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# Specifies that `Bar` is generic in an arbitrary number of types.
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# (Think of `Ts` as a tuple of an arbitrary number of individual
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# `TypeVar`s, which the `Unpack` is 'pulling out' directly into the
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# `Generic[]`.)
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class Bar(Generic[Unpack[Ts]]): ...
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Bar[int] # Valid
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Bar[int, str] # Also valid
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From Python 3.11, this can also be done using the `*` operator:
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Foo[*tuple[int, str]]
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class Bar(Generic[*Ts]): ...
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Note that there is only some runtime checking of this operator. Not
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everything the runtime allows may be accepted by static type checkers.
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For more information, see PEP 646.
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"""
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item = _type_check(parameters, f'{self} accepts only single type.')
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return _UnpackGenericAlias(origin=self, args=(item,))
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class _UnpackGenericAlias(_GenericAlias, _root=True):
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def __repr__(self):
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# `Unpack` only takes one argument, so __args__ should contain only
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# a single item.
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return '*' + repr(self.__args__[0])
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class Generic:
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"""Abstract base class for generic types.
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@ -1466,15 +1631,36 @@ class Generic:
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@_tp_cache
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def __class_getitem__(cls, params):
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"""Parameterizes a generic class.
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At least, parameterizing a generic class is the *main* thing this method
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does. For example, for some generic class `Foo`, this is called when we
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do `Foo[int]` - there, with `cls=Foo` and `params=int`.
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However, note that this method is also called when defining generic
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classes in the first place with `class Foo(Generic[T]): ...`.
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"""
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if not isinstance(params, tuple):
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params = (params,)
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if not params and cls is not Tuple:
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raise TypeError(
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f"Parameter list to {cls.__qualname__}[...] cannot be empty")
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if not params:
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# We're only ok with `params` being empty if the class's only type
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# parameter is a `TypeVarTuple` (which can contain zero types).
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class_params = getattr(cls, "__parameters__", None)
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only_class_parameter_is_typevartuple = (
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class_params is not None
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and len(class_params) == 1
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and isinstance(class_params[0], TypeVarTuple)
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)
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if not only_class_parameter_is_typevartuple:
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raise TypeError(
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f"Parameter list to {cls.__qualname__}[...] cannot be empty"
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)
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params = tuple(_type_convert(p) for p in params)
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if cls in (Generic, Protocol):
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# Generic and Protocol can only be subscripted with unique type variables.
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if not all(isinstance(p, (TypeVar, ParamSpec)) for p in params):
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if not all(_is_typevar_like(p) for p in params):
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raise TypeError(
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f"Parameters to {cls.__name__}[...] must all be type variables "
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f"or parameter specification variables.")
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@ -1485,11 +1671,16 @@ class Generic:
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# Subscripting a regular Generic subclass.
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if any(isinstance(t, ParamSpec) for t in cls.__parameters__):
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params = _prepare_paramspec_params(cls, params)
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else:
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elif not any(isinstance(p, TypeVarTuple) for p in cls.__parameters__):
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# We only run this if there are no TypeVarTuples, because we
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# don't check variadic generic arity at runtime (to reduce
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# complexity of typing.py).
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_check_generic(cls, params, len(cls.__parameters__))
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return _GenericAlias(cls, params,
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_typevar_types=(TypeVar, ParamSpec),
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_paramspec_tvars=True)
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return _GenericAlias(
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cls, params,
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_typevar_types=(TypeVar, TypeVarTuple, ParamSpec),
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_paramspec_tvars=True,
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)
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def __init_subclass__(cls, *args, **kwargs):
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super().__init_subclass__(*args, **kwargs)
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@ -1501,7 +1692,9 @@ class Generic:
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if error:
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raise TypeError("Cannot inherit from plain Generic")
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if '__orig_bases__' in cls.__dict__:
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tvars = _collect_type_vars(cls.__orig_bases__, (TypeVar, ParamSpec))
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tvars = _collect_type_vars(
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cls.__orig_bases__, (TypeVar, TypeVarTuple, ParamSpec)
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)
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# Look for Generic[T1, ..., Tn].
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# If found, tvars must be a subset of it.
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# If not found, tvars is it.
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