2909 lines
105 KiB
Python
2909 lines
105 KiB
Python
import abc
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import collections
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import collections.abc
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import operator
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import sys
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import types as _types
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import typing
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# After PEP 560, internal typing API was substantially reworked.
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# This is especially important for Protocol class which uses internal APIs
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# quite extensively.
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PEP_560 = sys.version_info[:3] >= (3, 7, 0)
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if PEP_560:
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GenericMeta = type
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else:
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# 3.6
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from typing import GenericMeta, _type_vars # noqa
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# Please keep __all__ alphabetized within each category.
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__all__ = [
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# Super-special typing primitives.
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'ClassVar',
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'Concatenate',
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'Final',
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'LiteralString',
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'ParamSpec',
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'Self',
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'Type',
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'TypeVarTuple',
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'Unpack',
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# ABCs (from collections.abc).
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'Awaitable',
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'AsyncIterator',
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'AsyncIterable',
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'Coroutine',
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'AsyncGenerator',
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'AsyncContextManager',
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'ChainMap',
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# Concrete collection types.
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'ContextManager',
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'Counter',
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'Deque',
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'DefaultDict',
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'OrderedDict',
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'TypedDict',
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# Structural checks, a.k.a. protocols.
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'SupportsIndex',
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# One-off things.
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'Annotated',
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'assert_never',
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'dataclass_transform',
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'final',
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'IntVar',
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'is_typeddict',
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'Literal',
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'NewType',
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'overload',
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'Protocol',
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'reveal_type',
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'runtime',
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'runtime_checkable',
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'Text',
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'TypeAlias',
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'TypeGuard',
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'TYPE_CHECKING',
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'Never',
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'NoReturn',
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'Required',
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'NotRequired',
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]
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if PEP_560:
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__all__.extend(["get_args", "get_origin", "get_type_hints"])
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# The functions below are modified copies of typing internal helpers.
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# They are needed by _ProtocolMeta and they provide support for PEP 646.
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def _no_slots_copy(dct):
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dict_copy = dict(dct)
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if '__slots__' in dict_copy:
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for slot in dict_copy['__slots__']:
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dict_copy.pop(slot, None)
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return dict_copy
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_marker = object()
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def _check_generic(cls, parameters, elen=_marker):
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"""Check correct count for parameters of a generic cls (internal helper).
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This gives a nice error message in case of count mismatch.
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"""
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if not elen:
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raise TypeError(f"{cls} is not a generic class")
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if elen is _marker:
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if not hasattr(cls, "__parameters__") or not cls.__parameters__:
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raise TypeError(f"{cls} is not a generic class")
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elen = len(cls.__parameters__)
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alen = len(parameters)
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if alen != elen:
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if hasattr(cls, "__parameters__"):
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parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
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num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters)
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if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples):
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return
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raise TypeError(f"Too {'many' if alen > elen else 'few'} parameters for {cls};"
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f" actual {alen}, expected {elen}")
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if sys.version_info >= (3, 10):
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def _should_collect_from_parameters(t):
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return isinstance(
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t, (typing._GenericAlias, _types.GenericAlias, _types.UnionType)
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)
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elif sys.version_info >= (3, 9):
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def _should_collect_from_parameters(t):
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return isinstance(t, (typing._GenericAlias, _types.GenericAlias))
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else:
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def _should_collect_from_parameters(t):
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return isinstance(t, typing._GenericAlias) and not t._special
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def _collect_type_vars(types, typevar_types=None):
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"""Collect all type variable contained in types in order of
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first appearance (lexicographic order). For example::
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_collect_type_vars((T, List[S, T])) == (T, S)
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"""
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if typevar_types is None:
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typevar_types = typing.TypeVar
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tvars = []
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for t in types:
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if (
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isinstance(t, typevar_types) and
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t not in tvars and
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not _is_unpack(t)
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):
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tvars.append(t)
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if _should_collect_from_parameters(t):
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tvars.extend([t for t in t.__parameters__ if t not in tvars])
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return tuple(tvars)
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# 3.6.2+
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if hasattr(typing, 'NoReturn'):
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NoReturn = typing.NoReturn
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# 3.6.0-3.6.1
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else:
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class _NoReturn(typing._FinalTypingBase, _root=True):
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"""Special type indicating functions that never return.
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Example::
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from typing import NoReturn
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def stop() -> NoReturn:
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raise Exception('no way')
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This type is invalid in other positions, e.g., ``List[NoReturn]``
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will fail in static type checkers.
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"""
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__slots__ = ()
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def __instancecheck__(self, obj):
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raise TypeError("NoReturn cannot be used with isinstance().")
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def __subclasscheck__(self, cls):
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raise TypeError("NoReturn cannot be used with issubclass().")
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NoReturn = _NoReturn(_root=True)
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# Some unconstrained type variables. These are used by the container types.
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# (These are not for export.)
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T = typing.TypeVar('T') # Any type.
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KT = typing.TypeVar('KT') # Key type.
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VT = typing.TypeVar('VT') # Value type.
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T_co = typing.TypeVar('T_co', covariant=True) # Any type covariant containers.
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T_contra = typing.TypeVar('T_contra', contravariant=True) # Ditto contravariant.
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ClassVar = typing.ClassVar
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# On older versions of typing there is an internal class named "Final".
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# 3.8+
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if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7):
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Final = typing.Final
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# 3.7
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elif sys.version_info[:2] >= (3, 7):
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class _FinalForm(typing._SpecialForm, _root=True):
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def __repr__(self):
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return 'typing_extensions.' + self._name
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def __getitem__(self, parameters):
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item = typing._type_check(parameters,
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f'{self._name} accepts only single type')
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return typing._GenericAlias(self, (item,))
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Final = _FinalForm('Final',
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doc="""A special typing construct to indicate that a name
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cannot be re-assigned or overridden in a subclass.
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For example:
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MAX_SIZE: Final = 9000
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MAX_SIZE += 1 # Error reported by type checker
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class Connection:
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TIMEOUT: Final[int] = 10
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class FastConnector(Connection):
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TIMEOUT = 1 # Error reported by type checker
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There is no runtime checking of these properties.""")
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# 3.6
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else:
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class _Final(typing._FinalTypingBase, _root=True):
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"""A special typing construct to indicate that a name
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cannot be re-assigned or overridden in a subclass.
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For example:
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MAX_SIZE: Final = 9000
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MAX_SIZE += 1 # Error reported by type checker
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class Connection:
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TIMEOUT: Final[int] = 10
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class FastConnector(Connection):
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TIMEOUT = 1 # Error reported by type checker
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There is no runtime checking of these properties.
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"""
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__slots__ = ('__type__',)
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def __init__(self, tp=None, **kwds):
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self.__type__ = tp
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def __getitem__(self, item):
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cls = type(self)
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if self.__type__ is None:
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return cls(typing._type_check(item,
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f'{cls.__name__[1:]} accepts only single type.'),
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_root=True)
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raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted')
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def _eval_type(self, globalns, localns):
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new_tp = typing._eval_type(self.__type__, globalns, localns)
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if new_tp == self.__type__:
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return self
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return type(self)(new_tp, _root=True)
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def __repr__(self):
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r = super().__repr__()
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if self.__type__ is not None:
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r += f'[{typing._type_repr(self.__type__)}]'
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return r
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def __hash__(self):
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return hash((type(self).__name__, self.__type__))
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def __eq__(self, other):
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if not isinstance(other, _Final):
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return NotImplemented
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if self.__type__ is not None:
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return self.__type__ == other.__type__
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return self is other
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Final = _Final(_root=True)
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if sys.version_info >= (3, 11):
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final = typing.final
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else:
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# @final exists in 3.8+, but we backport it for all versions
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# before 3.11 to keep support for the __final__ attribute.
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# See https://bugs.python.org/issue46342
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def final(f):
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"""This decorator can be used to indicate to type checkers that
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the decorated method cannot be overridden, and decorated class
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cannot be subclassed. For example:
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class Base:
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@final
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def done(self) -> None:
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...
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class Sub(Base):
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def done(self) -> None: # Error reported by type checker
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...
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@final
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class Leaf:
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...
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class Other(Leaf): # Error reported by type checker
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...
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There is no runtime checking of these properties. The decorator
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sets the ``__final__`` attribute to ``True`` on the decorated object
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to allow runtime introspection.
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"""
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try:
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f.__final__ = True
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except (AttributeError, TypeError):
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# Skip the attribute silently if it is not writable.
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# AttributeError happens if the object has __slots__ or a
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# read-only property, TypeError if it's a builtin class.
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pass
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return f
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def IntVar(name):
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return typing.TypeVar(name)
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# 3.8+:
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if hasattr(typing, 'Literal'):
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Literal = typing.Literal
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# 3.7:
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elif sys.version_info[:2] >= (3, 7):
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class _LiteralForm(typing._SpecialForm, _root=True):
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def __repr__(self):
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return 'typing_extensions.' + self._name
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def __getitem__(self, parameters):
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return typing._GenericAlias(self, parameters)
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Literal = _LiteralForm('Literal',
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doc="""A type that can be used to indicate to type checkers
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that the corresponding value has a value literally equivalent
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to the provided parameter. For example:
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var: Literal[4] = 4
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The type checker understands that 'var' is literally equal to
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the value 4 and no other value.
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Literal[...] cannot be subclassed. There is no runtime
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checking verifying that the parameter is actually a value
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instead of a type.""")
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# 3.6:
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else:
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class _Literal(typing._FinalTypingBase, _root=True):
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"""A type that can be used to indicate to type checkers that the
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corresponding value has a value literally equivalent to the
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provided parameter. For example:
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var: Literal[4] = 4
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The type checker understands that 'var' is literally equal to the
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value 4 and no other value.
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Literal[...] cannot be subclassed. There is no runtime checking
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verifying that the parameter is actually a value instead of a type.
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"""
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__slots__ = ('__values__',)
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def __init__(self, values=None, **kwds):
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self.__values__ = values
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def __getitem__(self, values):
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cls = type(self)
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if self.__values__ is None:
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if not isinstance(values, tuple):
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values = (values,)
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return cls(values, _root=True)
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raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted')
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def _eval_type(self, globalns, localns):
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return self
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def __repr__(self):
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r = super().__repr__()
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if self.__values__ is not None:
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r += f'[{", ".join(map(typing._type_repr, self.__values__))}]'
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return r
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def __hash__(self):
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return hash((type(self).__name__, self.__values__))
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def __eq__(self, other):
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if not isinstance(other, _Literal):
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return NotImplemented
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if self.__values__ is not None:
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return self.__values__ == other.__values__
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return self is other
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Literal = _Literal(_root=True)
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_overload_dummy = typing._overload_dummy # noqa
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overload = typing.overload
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# This is not a real generic class. Don't use outside annotations.
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Type = typing.Type
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# Various ABCs mimicking those in collections.abc.
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# A few are simply re-exported for completeness.
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class _ExtensionsGenericMeta(GenericMeta):
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def __subclasscheck__(self, subclass):
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"""This mimics a more modern GenericMeta.__subclasscheck__() logic
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(that does not have problems with recursion) to work around interactions
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between collections, typing, and typing_extensions on older
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versions of Python, see https://github.com/python/typing/issues/501.
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"""
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if self.__origin__ is not None:
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if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']:
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raise TypeError("Parameterized generics cannot be used with class "
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"or instance checks")
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return False
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if not self.__extra__:
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return super().__subclasscheck__(subclass)
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res = self.__extra__.__subclasshook__(subclass)
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if res is not NotImplemented:
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return res
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if self.__extra__ in subclass.__mro__:
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return True
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for scls in self.__extra__.__subclasses__():
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if isinstance(scls, GenericMeta):
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continue
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if issubclass(subclass, scls):
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return True
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return False
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Awaitable = typing.Awaitable
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Coroutine = typing.Coroutine
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AsyncIterable = typing.AsyncIterable
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AsyncIterator = typing.AsyncIterator
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# 3.6.1+
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if hasattr(typing, 'Deque'):
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Deque = typing.Deque
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# 3.6.0
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else:
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class Deque(collections.deque, typing.MutableSequence[T],
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metaclass=_ExtensionsGenericMeta,
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extra=collections.deque):
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__slots__ = ()
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def __new__(cls, *args, **kwds):
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if cls._gorg is Deque:
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return collections.deque(*args, **kwds)
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return typing._generic_new(collections.deque, cls, *args, **kwds)
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ContextManager = typing.ContextManager
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# 3.6.2+
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if hasattr(typing, 'AsyncContextManager'):
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AsyncContextManager = typing.AsyncContextManager
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|
# 3.6.0-3.6.1
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else:
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from _collections_abc import _check_methods as _check_methods_in_mro # noqa
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|
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class AsyncContextManager(typing.Generic[T_co]):
|
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__slots__ = ()
|
|
|
|
async def __aenter__(self):
|
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return self
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|
|
@abc.abstractmethod
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async def __aexit__(self, exc_type, exc_value, traceback):
|
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return None
|
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|
|
@classmethod
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def __subclasshook__(cls, C):
|
|
if cls is AsyncContextManager:
|
|
return _check_methods_in_mro(C, "__aenter__", "__aexit__")
|
|
return NotImplemented
|
|
|
|
DefaultDict = typing.DefaultDict
|
|
|
|
# 3.7.2+
|
|
if hasattr(typing, 'OrderedDict'):
|
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OrderedDict = typing.OrderedDict
|
|
# 3.7.0-3.7.2
|
|
elif (3, 7, 0) <= sys.version_info[:3] < (3, 7, 2):
|
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OrderedDict = typing._alias(collections.OrderedDict, (KT, VT))
|
|
# 3.6
|
|
else:
|
|
class OrderedDict(collections.OrderedDict, typing.MutableMapping[KT, VT],
|
|
metaclass=_ExtensionsGenericMeta,
|
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extra=collections.OrderedDict):
|
|
|
|
__slots__ = ()
|
|
|
|
def __new__(cls, *args, **kwds):
|
|
if cls._gorg is OrderedDict:
|
|
return collections.OrderedDict(*args, **kwds)
|
|
return typing._generic_new(collections.OrderedDict, cls, *args, **kwds)
|
|
|
|
# 3.6.2+
|
|
if hasattr(typing, 'Counter'):
|
|
Counter = typing.Counter
|
|
# 3.6.0-3.6.1
|
|
else:
|
|
class Counter(collections.Counter,
|
|
typing.Dict[T, int],
|
|
metaclass=_ExtensionsGenericMeta, extra=collections.Counter):
|
|
|
|
__slots__ = ()
|
|
|
|
def __new__(cls, *args, **kwds):
|
|
if cls._gorg is Counter:
|
|
return collections.Counter(*args, **kwds)
|
|
return typing._generic_new(collections.Counter, cls, *args, **kwds)
|
|
|
|
# 3.6.1+
|
|
if hasattr(typing, 'ChainMap'):
|
|
ChainMap = typing.ChainMap
|
|
elif hasattr(collections, 'ChainMap'):
|
|
class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT],
|
|
metaclass=_ExtensionsGenericMeta,
|
|
extra=collections.ChainMap):
|
|
|
|
__slots__ = ()
|
|
|
|
def __new__(cls, *args, **kwds):
|
|
if cls._gorg is ChainMap:
|
|
return collections.ChainMap(*args, **kwds)
|
|
return typing._generic_new(collections.ChainMap, cls, *args, **kwds)
|
|
|
|
# 3.6.1+
|
|
if hasattr(typing, 'AsyncGenerator'):
|
|
AsyncGenerator = typing.AsyncGenerator
|
|
# 3.6.0
|
|
else:
|
|
class AsyncGenerator(AsyncIterator[T_co], typing.Generic[T_co, T_contra],
|
|
metaclass=_ExtensionsGenericMeta,
|
|
extra=collections.abc.AsyncGenerator):
|
|
__slots__ = ()
|
|
|
|
NewType = typing.NewType
|
|
Text = typing.Text
|
|
TYPE_CHECKING = typing.TYPE_CHECKING
|
|
|
|
|
|
def _gorg(cls):
|
|
"""This function exists for compatibility with old typing versions."""
|
|
assert isinstance(cls, GenericMeta)
|
|
if hasattr(cls, '_gorg'):
|
|
return cls._gorg
|
|
while cls.__origin__ is not None:
|
|
cls = cls.__origin__
|
|
return cls
|
|
|
|
|
|
_PROTO_WHITELIST = ['Callable', 'Awaitable',
|
|
'Iterable', 'Iterator', 'AsyncIterable', 'AsyncIterator',
|
|
'Hashable', 'Sized', 'Container', 'Collection', 'Reversible',
|
|
'ContextManager', 'AsyncContextManager']
|
|
|
|
|
|
def _get_protocol_attrs(cls):
|
|
attrs = set()
|
|
for base in cls.__mro__[:-1]: # without object
|
|
if base.__name__ in ('Protocol', 'Generic'):
|
|
continue
|
|
annotations = getattr(base, '__annotations__', {})
|
|
for attr in list(base.__dict__.keys()) + list(annotations.keys()):
|
|
if (not attr.startswith('_abc_') and attr not in (
|
|
'__abstractmethods__', '__annotations__', '__weakref__',
|
|
'_is_protocol', '_is_runtime_protocol', '__dict__',
|
|
'__args__', '__slots__',
|
|
'__next_in_mro__', '__parameters__', '__origin__',
|
|
'__orig_bases__', '__extra__', '__tree_hash__',
|
|
'__doc__', '__subclasshook__', '__init__', '__new__',
|
|
'__module__', '_MutableMapping__marker', '_gorg')):
|
|
attrs.add(attr)
|
|
return attrs
|
|
|
|
|
|
def _is_callable_members_only(cls):
|
|
return all(callable(getattr(cls, attr, None)) for attr in _get_protocol_attrs(cls))
|
|
|
|
|
|
# 3.8+
|
|
if hasattr(typing, 'Protocol'):
|
|
Protocol = typing.Protocol
|
|
# 3.7
|
|
elif PEP_560:
|
|
|
|
def _no_init(self, *args, **kwargs):
|
|
if type(self)._is_protocol:
|
|
raise TypeError('Protocols cannot be instantiated')
|
|
|
|
class _ProtocolMeta(abc.ABCMeta):
|
|
# This metaclass is a bit unfortunate and exists only because of the lack
|
|
# of __instancehook__.
|
|
def __instancecheck__(cls, instance):
|
|
# We need this method for situations where attributes are
|
|
# assigned in __init__.
|
|
if ((not getattr(cls, '_is_protocol', False) or
|
|
_is_callable_members_only(cls)) and
|
|
issubclass(instance.__class__, cls)):
|
|
return True
|
|
if cls._is_protocol:
|
|
if all(hasattr(instance, attr) and
|
|
(not callable(getattr(cls, attr, None)) or
|
|
getattr(instance, attr) is not None)
|
|
for attr in _get_protocol_attrs(cls)):
|
|
return True
|
|
return super().__instancecheck__(instance)
|
|
|
|
class Protocol(metaclass=_ProtocolMeta):
|
|
# There is quite a lot of overlapping code with typing.Generic.
|
|
# Unfortunately it is hard to avoid this while these live in two different
|
|
# modules. The duplicated code will be removed when Protocol is moved to typing.
|
|
"""Base class for protocol classes. Protocol classes are defined as::
|
|
|
|
class Proto(Protocol):
|
|
def meth(self) -> int:
|
|
...
|
|
|
|
Such classes are primarily used with static type checkers that recognize
|
|
structural subtyping (static duck-typing), for example::
|
|
|
|
class C:
|
|
def meth(self) -> int:
|
|
return 0
|
|
|
|
def func(x: Proto) -> int:
|
|
return x.meth()
|
|
|
|
func(C()) # Passes static type check
|
|
|
|
See PEP 544 for details. Protocol classes decorated with
|
|
@typing_extensions.runtime act as simple-minded runtime protocol that checks
|
|
only the presence of given attributes, ignoring their type signatures.
|
|
|
|
Protocol classes can be generic, they are defined as::
|
|
|
|
class GenProto(Protocol[T]):
|
|
def meth(self) -> T:
|
|
...
|
|
"""
|
|
__slots__ = ()
|
|
_is_protocol = True
|
|
|
|
def __new__(cls, *args, **kwds):
|
|
if cls is Protocol:
|
|
raise TypeError("Type Protocol cannot be instantiated; "
|
|
"it can only be used as a base class")
|
|
return super().__new__(cls)
|
|
|
|
@typing._tp_cache
|
|
def __class_getitem__(cls, params):
|
|
if not isinstance(params, tuple):
|
|
params = (params,)
|
|
if not params and cls is not typing.Tuple:
|
|
raise TypeError(
|
|
f"Parameter list to {cls.__qualname__}[...] cannot be empty")
|
|
msg = "Parameters to generic types must be types."
|
|
params = tuple(typing._type_check(p, msg) for p in params) # noqa
|
|
if cls is Protocol:
|
|
# Generic can only be subscripted with unique type variables.
|
|
if not all(isinstance(p, typing.TypeVar) for p in params):
|
|
i = 0
|
|
while isinstance(params[i], typing.TypeVar):
|
|
i += 1
|
|
raise TypeError(
|
|
"Parameters to Protocol[...] must all be type variables."
|
|
f" Parameter {i + 1} is {params[i]}")
|
|
if len(set(params)) != len(params):
|
|
raise TypeError(
|
|
"Parameters to Protocol[...] must all be unique")
|
|
else:
|
|
# Subscripting a regular Generic subclass.
|
|
_check_generic(cls, params, len(cls.__parameters__))
|
|
return typing._GenericAlias(cls, params)
|
|
|
|
def __init_subclass__(cls, *args, **kwargs):
|
|
tvars = []
|
|
if '__orig_bases__' in cls.__dict__:
|
|
error = typing.Generic in cls.__orig_bases__
|
|
else:
|
|
error = typing.Generic in cls.__bases__
|
|
if error:
|
|
raise TypeError("Cannot inherit from plain Generic")
|
|
if '__orig_bases__' in cls.__dict__:
|
|
tvars = typing._collect_type_vars(cls.__orig_bases__)
|
|
# Look for Generic[T1, ..., Tn] or Protocol[T1, ..., Tn].
|
|
# If found, tvars must be a subset of it.
|
|
# If not found, tvars is it.
|
|
# Also check for and reject plain Generic,
|
|
# and reject multiple Generic[...] and/or Protocol[...].
|
|
gvars = None
|
|
for base in cls.__orig_bases__:
|
|
if (isinstance(base, typing._GenericAlias) and
|
|
base.__origin__ in (typing.Generic, Protocol)):
|
|
# for error messages
|
|
the_base = base.__origin__.__name__
|
|
if gvars is not None:
|
|
raise TypeError(
|
|
"Cannot inherit from Generic[...]"
|
|
" and/or Protocol[...] multiple types.")
|
|
gvars = base.__parameters__
|
|
if gvars is None:
|
|
gvars = tvars
|
|
else:
|
|
tvarset = set(tvars)
|
|
gvarset = set(gvars)
|
|
if not tvarset <= gvarset:
|
|
s_vars = ', '.join(str(t) for t in tvars if t not in gvarset)
|
|
s_args = ', '.join(str(g) for g in gvars)
|
|
raise TypeError(f"Some type variables ({s_vars}) are"
|
|
f" not listed in {the_base}[{s_args}]")
|
|
tvars = gvars
|
|
cls.__parameters__ = tuple(tvars)
|
|
|
|
# Determine if this is a protocol or a concrete subclass.
|
|
if not cls.__dict__.get('_is_protocol', None):
|
|
cls._is_protocol = any(b is Protocol for b in cls.__bases__)
|
|
|
|
# Set (or override) the protocol subclass hook.
|
|
def _proto_hook(other):
|
|
if not cls.__dict__.get('_is_protocol', None):
|
|
return NotImplemented
|
|
if not getattr(cls, '_is_runtime_protocol', False):
|
|
if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']:
|
|
return NotImplemented
|
|
raise TypeError("Instance and class checks can only be used with"
|
|
" @runtime protocols")
|
|
if not _is_callable_members_only(cls):
|
|
if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']:
|
|
return NotImplemented
|
|
raise TypeError("Protocols with non-method members"
|
|
" don't support issubclass()")
|
|
if not isinstance(other, type):
|
|
# Same error as for issubclass(1, int)
|
|
raise TypeError('issubclass() arg 1 must be a class')
|
|
for attr in _get_protocol_attrs(cls):
|
|
for base in other.__mro__:
|
|
if attr in base.__dict__:
|
|
if base.__dict__[attr] is None:
|
|
return NotImplemented
|
|
break
|
|
annotations = getattr(base, '__annotations__', {})
|
|
if (isinstance(annotations, typing.Mapping) and
|
|
attr in annotations and
|
|
isinstance(other, _ProtocolMeta) and
|
|
other._is_protocol):
|
|
break
|
|
else:
|
|
return NotImplemented
|
|
return True
|
|
if '__subclasshook__' not in cls.__dict__:
|
|
cls.__subclasshook__ = _proto_hook
|
|
|
|
# We have nothing more to do for non-protocols.
|
|
if not cls._is_protocol:
|
|
return
|
|
|
|
# Check consistency of bases.
|
|
for base in cls.__bases__:
|
|
if not (base in (object, typing.Generic) or
|
|
base.__module__ == 'collections.abc' and
|
|
base.__name__ in _PROTO_WHITELIST or
|
|
isinstance(base, _ProtocolMeta) and base._is_protocol):
|
|
raise TypeError('Protocols can only inherit from other'
|
|
f' protocols, got {repr(base)}')
|
|
cls.__init__ = _no_init
|
|
# 3.6
|
|
else:
|
|
from typing import _next_in_mro, _type_check # noqa
|
|
|
|
def _no_init(self, *args, **kwargs):
|
|
if type(self)._is_protocol:
|
|
raise TypeError('Protocols cannot be instantiated')
|
|
|
|
class _ProtocolMeta(GenericMeta):
|
|
"""Internal metaclass for Protocol.
|
|
|
|
This exists so Protocol classes can be generic without deriving
|
|
from Generic.
|
|
"""
|
|
def __new__(cls, name, bases, namespace,
|
|
tvars=None, args=None, origin=None, extra=None, orig_bases=None):
|
|
# This is just a version copied from GenericMeta.__new__ that
|
|
# includes "Protocol" special treatment. (Comments removed for brevity.)
|
|
assert extra is None # Protocols should not have extra
|
|
if tvars is not None:
|
|
assert origin is not None
|
|
assert all(isinstance(t, typing.TypeVar) for t in tvars), tvars
|
|
else:
|
|
tvars = _type_vars(bases)
|
|
gvars = None
|
|
for base in bases:
|
|
if base is typing.Generic:
|
|
raise TypeError("Cannot inherit from plain Generic")
|
|
if (isinstance(base, GenericMeta) and
|
|
base.__origin__ in (typing.Generic, Protocol)):
|
|
if gvars is not None:
|
|
raise TypeError(
|
|
"Cannot inherit from Generic[...] or"
|
|
" Protocol[...] multiple times.")
|
|
gvars = base.__parameters__
|
|
if gvars is None:
|
|
gvars = tvars
|
|
else:
|
|
tvarset = set(tvars)
|
|
gvarset = set(gvars)
|
|
if not tvarset <= gvarset:
|
|
s_vars = ", ".join(str(t) for t in tvars if t not in gvarset)
|
|
s_args = ", ".join(str(g) for g in gvars)
|
|
cls_name = "Generic" if any(b.__origin__ is typing.Generic
|
|
for b in bases) else "Protocol"
|
|
raise TypeError(f"Some type variables ({s_vars}) are"
|
|
f" not listed in {cls_name}[{s_args}]")
|
|
tvars = gvars
|
|
|
|
initial_bases = bases
|
|
if (extra is not None and type(extra) is abc.ABCMeta and
|
|
extra not in bases):
|
|
bases = (extra,) + bases
|
|
bases = tuple(_gorg(b) if isinstance(b, GenericMeta) else b
|
|
for b in bases)
|
|
if any(isinstance(b, GenericMeta) and b is not typing.Generic for b in bases):
|
|
bases = tuple(b for b in bases if b is not typing.Generic)
|
|
namespace.update({'__origin__': origin, '__extra__': extra})
|
|
self = super(GenericMeta, cls).__new__(cls, name, bases, namespace,
|
|
_root=True)
|
|
super(GenericMeta, self).__setattr__('_gorg',
|
|
self if not origin else
|
|
_gorg(origin))
|
|
self.__parameters__ = tvars
|
|
self.__args__ = tuple(... if a is typing._TypingEllipsis else
|
|
() if a is typing._TypingEmpty else
|
|
a for a in args) if args else None
|
|
self.__next_in_mro__ = _next_in_mro(self)
|
|
if orig_bases is None:
|
|
self.__orig_bases__ = initial_bases
|
|
elif origin is not None:
|
|
self._abc_registry = origin._abc_registry
|
|
self._abc_cache = origin._abc_cache
|
|
if hasattr(self, '_subs_tree'):
|
|
self.__tree_hash__ = (hash(self._subs_tree()) if origin else
|
|
super(GenericMeta, self).__hash__())
|
|
return self
|
|
|
|
def __init__(cls, *args, **kwargs):
|
|
super().__init__(*args, **kwargs)
|
|
if not cls.__dict__.get('_is_protocol', None):
|
|
cls._is_protocol = any(b is Protocol or
|
|
isinstance(b, _ProtocolMeta) and
|
|
b.__origin__ is Protocol
|
|
for b in cls.__bases__)
|
|
if cls._is_protocol:
|
|
for base in cls.__mro__[1:]:
|
|
if not (base in (object, typing.Generic) or
|
|
base.__module__ == 'collections.abc' and
|
|
base.__name__ in _PROTO_WHITELIST or
|
|
isinstance(base, typing.TypingMeta) and base._is_protocol or
|
|
isinstance(base, GenericMeta) and
|
|
base.__origin__ is typing.Generic):
|
|
raise TypeError(f'Protocols can only inherit from other'
|
|
f' protocols, got {repr(base)}')
|
|
|
|
cls.__init__ = _no_init
|
|
|
|
def _proto_hook(other):
|
|
if not cls.__dict__.get('_is_protocol', None):
|
|
return NotImplemented
|
|
if not isinstance(other, type):
|
|
# Same error as for issubclass(1, int)
|
|
raise TypeError('issubclass() arg 1 must be a class')
|
|
for attr in _get_protocol_attrs(cls):
|
|
for base in other.__mro__:
|
|
if attr in base.__dict__:
|
|
if base.__dict__[attr] is None:
|
|
return NotImplemented
|
|
break
|
|
annotations = getattr(base, '__annotations__', {})
|
|
if (isinstance(annotations, typing.Mapping) and
|
|
attr in annotations and
|
|
isinstance(other, _ProtocolMeta) and
|
|
other._is_protocol):
|
|
break
|
|
else:
|
|
return NotImplemented
|
|
return True
|
|
if '__subclasshook__' not in cls.__dict__:
|
|
cls.__subclasshook__ = _proto_hook
|
|
|
|
def __instancecheck__(self, instance):
|
|
# We need this method for situations where attributes are
|
|
# assigned in __init__.
|
|
if ((not getattr(self, '_is_protocol', False) or
|
|
_is_callable_members_only(self)) and
|
|
issubclass(instance.__class__, self)):
|
|
return True
|
|
if self._is_protocol:
|
|
if all(hasattr(instance, attr) and
|
|
(not callable(getattr(self, attr, None)) or
|
|
getattr(instance, attr) is not None)
|
|
for attr in _get_protocol_attrs(self)):
|
|
return True
|
|
return super(GenericMeta, self).__instancecheck__(instance)
|
|
|
|
def __subclasscheck__(self, cls):
|
|
if self.__origin__ is not None:
|
|
if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']:
|
|
raise TypeError("Parameterized generics cannot be used with class "
|
|
"or instance checks")
|
|
return False
|
|
if (self.__dict__.get('_is_protocol', None) and
|
|
not self.__dict__.get('_is_runtime_protocol', None)):
|
|
if sys._getframe(1).f_globals['__name__'] in ['abc',
|
|
'functools',
|
|
'typing']:
|
|
return False
|
|
raise TypeError("Instance and class checks can only be used with"
|
|
" @runtime protocols")
|
|
if (self.__dict__.get('_is_runtime_protocol', None) and
|
|
not _is_callable_members_only(self)):
|
|
if sys._getframe(1).f_globals['__name__'] in ['abc',
|
|
'functools',
|
|
'typing']:
|
|
return super(GenericMeta, self).__subclasscheck__(cls)
|
|
raise TypeError("Protocols with non-method members"
|
|
" don't support issubclass()")
|
|
return super(GenericMeta, self).__subclasscheck__(cls)
|
|
|
|
@typing._tp_cache
|
|
def __getitem__(self, params):
|
|
# We also need to copy this from GenericMeta.__getitem__ to get
|
|
# special treatment of "Protocol". (Comments removed for brevity.)
|
|
if not isinstance(params, tuple):
|
|
params = (params,)
|
|
if not params and _gorg(self) is not typing.Tuple:
|
|
raise TypeError(
|
|
f"Parameter list to {self.__qualname__}[...] cannot be empty")
|
|
msg = "Parameters to generic types must be types."
|
|
params = tuple(_type_check(p, msg) for p in params)
|
|
if self in (typing.Generic, Protocol):
|
|
if not all(isinstance(p, typing.TypeVar) for p in params):
|
|
raise TypeError(
|
|
f"Parameters to {repr(self)}[...] must all be type variables")
|
|
if len(set(params)) != len(params):
|
|
raise TypeError(
|
|
f"Parameters to {repr(self)}[...] must all be unique")
|
|
tvars = params
|
|
args = params
|
|
elif self in (typing.Tuple, typing.Callable):
|
|
tvars = _type_vars(params)
|
|
args = params
|
|
elif self.__origin__ in (typing.Generic, Protocol):
|
|
raise TypeError(f"Cannot subscript already-subscripted {repr(self)}")
|
|
else:
|
|
_check_generic(self, params, len(self.__parameters__))
|
|
tvars = _type_vars(params)
|
|
args = params
|
|
|
|
prepend = (self,) if self.__origin__ is None else ()
|
|
return self.__class__(self.__name__,
|
|
prepend + self.__bases__,
|
|
_no_slots_copy(self.__dict__),
|
|
tvars=tvars,
|
|
args=args,
|
|
origin=self,
|
|
extra=self.__extra__,
|
|
orig_bases=self.__orig_bases__)
|
|
|
|
class Protocol(metaclass=_ProtocolMeta):
|
|
"""Base class for protocol classes. Protocol classes are defined as::
|
|
|
|
class Proto(Protocol):
|
|
def meth(self) -> int:
|
|
...
|
|
|
|
Such classes are primarily used with static type checkers that recognize
|
|
structural subtyping (static duck-typing), for example::
|
|
|
|
class C:
|
|
def meth(self) -> int:
|
|
return 0
|
|
|
|
def func(x: Proto) -> int:
|
|
return x.meth()
|
|
|
|
func(C()) # Passes static type check
|
|
|
|
See PEP 544 for details. Protocol classes decorated with
|
|
@typing_extensions.runtime act as simple-minded runtime protocol that checks
|
|
only the presence of given attributes, ignoring their type signatures.
|
|
|
|
Protocol classes can be generic, they are defined as::
|
|
|
|
class GenProto(Protocol[T]):
|
|
def meth(self) -> T:
|
|
...
|
|
"""
|
|
__slots__ = ()
|
|
_is_protocol = True
|
|
|
|
def __new__(cls, *args, **kwds):
|
|
if _gorg(cls) is Protocol:
|
|
raise TypeError("Type Protocol cannot be instantiated; "
|
|
"it can be used only as a base class")
|
|
return typing._generic_new(cls.__next_in_mro__, cls, *args, **kwds)
|
|
|
|
|
|
# 3.8+
|
|
if hasattr(typing, 'runtime_checkable'):
|
|
runtime_checkable = typing.runtime_checkable
|
|
# 3.6-3.7
|
|
else:
|
|
def runtime_checkable(cls):
|
|
"""Mark a protocol class as a runtime protocol, so that it
|
|
can be used with isinstance() and issubclass(). Raise TypeError
|
|
if applied to a non-protocol class.
|
|
|
|
This allows a simple-minded structural check very similar to the
|
|
one-offs in collections.abc such as Hashable.
|
|
"""
|
|
if not isinstance(cls, _ProtocolMeta) or not cls._is_protocol:
|
|
raise TypeError('@runtime_checkable can be only applied to protocol classes,'
|
|
f' got {cls!r}')
|
|
cls._is_runtime_protocol = True
|
|
return cls
|
|
|
|
|
|
# Exists for backwards compatibility.
|
|
runtime = runtime_checkable
|
|
|
|
|
|
# 3.8+
|
|
if hasattr(typing, 'SupportsIndex'):
|
|
SupportsIndex = typing.SupportsIndex
|
|
# 3.6-3.7
|
|
else:
|
|
@runtime_checkable
|
|
class SupportsIndex(Protocol):
|
|
__slots__ = ()
|
|
|
|
@abc.abstractmethod
|
|
def __index__(self) -> int:
|
|
pass
|
|
|
|
|
|
if hasattr(typing, "Required"):
|
|
# The standard library TypedDict in Python 3.8 does not store runtime information
|
|
# about which (if any) keys are optional. See https://bugs.python.org/issue38834
|
|
# The standard library TypedDict in Python 3.9.0/1 does not honour the "total"
|
|
# keyword with old-style TypedDict(). See https://bugs.python.org/issue42059
|
|
# The standard library TypedDict below Python 3.11 does not store runtime
|
|
# information about optional and required keys when using Required or NotRequired.
|
|
TypedDict = typing.TypedDict
|
|
_TypedDictMeta = typing._TypedDictMeta
|
|
is_typeddict = typing.is_typeddict
|
|
else:
|
|
def _check_fails(cls, other):
|
|
try:
|
|
if sys._getframe(1).f_globals['__name__'] not in ['abc',
|
|
'functools',
|
|
'typing']:
|
|
# Typed dicts are only for static structural subtyping.
|
|
raise TypeError('TypedDict does not support instance and class checks')
|
|
except (AttributeError, ValueError):
|
|
pass
|
|
return False
|
|
|
|
def _dict_new(*args, **kwargs):
|
|
if not args:
|
|
raise TypeError('TypedDict.__new__(): not enough arguments')
|
|
_, args = args[0], args[1:] # allow the "cls" keyword be passed
|
|
return dict(*args, **kwargs)
|
|
|
|
_dict_new.__text_signature__ = '($cls, _typename, _fields=None, /, **kwargs)'
|
|
|
|
def _typeddict_new(*args, total=True, **kwargs):
|
|
if not args:
|
|
raise TypeError('TypedDict.__new__(): not enough arguments')
|
|
_, args = args[0], args[1:] # allow the "cls" keyword be passed
|
|
if args:
|
|
typename, args = args[0], args[1:] # allow the "_typename" keyword be passed
|
|
elif '_typename' in kwargs:
|
|
typename = kwargs.pop('_typename')
|
|
import warnings
|
|
warnings.warn("Passing '_typename' as keyword argument is deprecated",
|
|
DeprecationWarning, stacklevel=2)
|
|
else:
|
|
raise TypeError("TypedDict.__new__() missing 1 required positional "
|
|
"argument: '_typename'")
|
|
if args:
|
|
try:
|
|
fields, = args # allow the "_fields" keyword be passed
|
|
except ValueError:
|
|
raise TypeError('TypedDict.__new__() takes from 2 to 3 '
|
|
f'positional arguments but {len(args) + 2} '
|
|
'were given')
|
|
elif '_fields' in kwargs and len(kwargs) == 1:
|
|
fields = kwargs.pop('_fields')
|
|
import warnings
|
|
warnings.warn("Passing '_fields' as keyword argument is deprecated",
|
|
DeprecationWarning, stacklevel=2)
|
|
else:
|
|
fields = None
|
|
|
|
if fields is None:
|
|
fields = kwargs
|
|
elif kwargs:
|
|
raise TypeError("TypedDict takes either a dict or keyword arguments,"
|
|
" but not both")
|
|
|
|
ns = {'__annotations__': dict(fields)}
|
|
try:
|
|
# Setting correct module is necessary to make typed dict classes pickleable.
|
|
ns['__module__'] = sys._getframe(1).f_globals.get('__name__', '__main__')
|
|
except (AttributeError, ValueError):
|
|
pass
|
|
|
|
return _TypedDictMeta(typename, (), ns, total=total)
|
|
|
|
_typeddict_new.__text_signature__ = ('($cls, _typename, _fields=None,'
|
|
' /, *, total=True, **kwargs)')
|
|
|
|
class _TypedDictMeta(type):
|
|
def __init__(cls, name, bases, ns, total=True):
|
|
super().__init__(name, bases, ns)
|
|
|
|
def __new__(cls, name, bases, ns, total=True):
|
|
# Create new typed dict class object.
|
|
# This method is called directly when TypedDict is subclassed,
|
|
# or via _typeddict_new when TypedDict is instantiated. This way
|
|
# TypedDict supports all three syntaxes described in its docstring.
|
|
# Subclasses and instances of TypedDict return actual dictionaries
|
|
# via _dict_new.
|
|
ns['__new__'] = _typeddict_new if name == 'TypedDict' else _dict_new
|
|
tp_dict = super().__new__(cls, name, (dict,), ns)
|
|
|
|
annotations = {}
|
|
own_annotations = ns.get('__annotations__', {})
|
|
msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type"
|
|
own_annotations = {
|
|
n: typing._type_check(tp, msg) for n, tp in own_annotations.items()
|
|
}
|
|
required_keys = set()
|
|
optional_keys = set()
|
|
|
|
for base in bases:
|
|
annotations.update(base.__dict__.get('__annotations__', {}))
|
|
required_keys.update(base.__dict__.get('__required_keys__', ()))
|
|
optional_keys.update(base.__dict__.get('__optional_keys__', ()))
|
|
|
|
annotations.update(own_annotations)
|
|
if PEP_560:
|
|
for annotation_key, annotation_type in own_annotations.items():
|
|
annotation_origin = get_origin(annotation_type)
|
|
if annotation_origin is Annotated:
|
|
annotation_args = get_args(annotation_type)
|
|
if annotation_args:
|
|
annotation_type = annotation_args[0]
|
|
annotation_origin = get_origin(annotation_type)
|
|
|
|
if annotation_origin is Required:
|
|
required_keys.add(annotation_key)
|
|
elif annotation_origin is NotRequired:
|
|
optional_keys.add(annotation_key)
|
|
elif total:
|
|
required_keys.add(annotation_key)
|
|
else:
|
|
optional_keys.add(annotation_key)
|
|
else:
|
|
own_annotation_keys = set(own_annotations.keys())
|
|
if total:
|
|
required_keys.update(own_annotation_keys)
|
|
else:
|
|
optional_keys.update(own_annotation_keys)
|
|
|
|
tp_dict.__annotations__ = annotations
|
|
tp_dict.__required_keys__ = frozenset(required_keys)
|
|
tp_dict.__optional_keys__ = frozenset(optional_keys)
|
|
if not hasattr(tp_dict, '__total__'):
|
|
tp_dict.__total__ = total
|
|
return tp_dict
|
|
|
|
__instancecheck__ = __subclasscheck__ = _check_fails
|
|
|
|
TypedDict = _TypedDictMeta('TypedDict', (dict,), {})
|
|
TypedDict.__module__ = __name__
|
|
TypedDict.__doc__ = \
|
|
"""A simple typed name space. At runtime it is equivalent to a plain dict.
|
|
|
|
TypedDict creates a dictionary type that expects all of its
|
|
instances to have a certain set of keys, with each key
|
|
associated with a value of a consistent type. This expectation
|
|
is not checked at runtime but is only enforced by type checkers.
|
|
Usage::
|
|
|
|
class Point2D(TypedDict):
|
|
x: int
|
|
y: int
|
|
label: str
|
|
|
|
a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK
|
|
b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check
|
|
|
|
assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
|
|
|
|
The type info can be accessed via the Point2D.__annotations__ dict, and
|
|
the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets.
|
|
TypedDict supports two additional equivalent forms::
|
|
|
|
Point2D = TypedDict('Point2D', x=int, y=int, label=str)
|
|
Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})
|
|
|
|
The class syntax is only supported in Python 3.6+, while two other
|
|
syntax forms work for Python 2.7 and 3.2+
|
|
"""
|
|
|
|
if hasattr(typing, "_TypedDictMeta"):
|
|
_TYPEDDICT_TYPES = (typing._TypedDictMeta, _TypedDictMeta)
|
|
else:
|
|
_TYPEDDICT_TYPES = (_TypedDictMeta,)
|
|
|
|
def is_typeddict(tp):
|
|
"""Check if an annotation is a TypedDict class
|
|
|
|
For example::
|
|
class Film(TypedDict):
|
|
title: str
|
|
year: int
|
|
|
|
is_typeddict(Film) # => True
|
|
is_typeddict(Union[list, str]) # => False
|
|
"""
|
|
return isinstance(tp, tuple(_TYPEDDICT_TYPES))
|
|
|
|
if hasattr(typing, "Required"):
|
|
get_type_hints = typing.get_type_hints
|
|
elif PEP_560:
|
|
import functools
|
|
import types
|
|
|
|
# replaces _strip_annotations()
|
|
def _strip_extras(t):
|
|
"""Strips Annotated, Required and NotRequired from a given type."""
|
|
if isinstance(t, _AnnotatedAlias):
|
|
return _strip_extras(t.__origin__)
|
|
if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired):
|
|
return _strip_extras(t.__args__[0])
|
|
if isinstance(t, typing._GenericAlias):
|
|
stripped_args = tuple(_strip_extras(a) for a in t.__args__)
|
|
if stripped_args == t.__args__:
|
|
return t
|
|
return t.copy_with(stripped_args)
|
|
if hasattr(types, "GenericAlias") and isinstance(t, types.GenericAlias):
|
|
stripped_args = tuple(_strip_extras(a) for a in t.__args__)
|
|
if stripped_args == t.__args__:
|
|
return t
|
|
return types.GenericAlias(t.__origin__, stripped_args)
|
|
if hasattr(types, "UnionType") and isinstance(t, types.UnionType):
|
|
stripped_args = tuple(_strip_extras(a) for a in t.__args__)
|
|
if stripped_args == t.__args__:
|
|
return t
|
|
return functools.reduce(operator.or_, stripped_args)
|
|
|
|
return t
|
|
|
|
def get_type_hints(obj, globalns=None, localns=None, include_extras=False):
|
|
"""Return type hints for an object.
|
|
|
|
This is often the same as obj.__annotations__, but it handles
|
|
forward references encoded as string literals, adds Optional[t] if a
|
|
default value equal to None is set and recursively replaces all
|
|
'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T'
|
|
(unless 'include_extras=True').
|
|
|
|
The argument may be a module, class, method, or function. The annotations
|
|
are returned as a dictionary. For classes, annotations include also
|
|
inherited members.
|
|
|
|
TypeError is raised if the argument is not of a type that can contain
|
|
annotations, and an empty dictionary is returned if no annotations are
|
|
present.
|
|
|
|
BEWARE -- the behavior of globalns and localns is counterintuitive
|
|
(unless you are familiar with how eval() and exec() work). The
|
|
search order is locals first, then globals.
|
|
|
|
- If no dict arguments are passed, an attempt is made to use the
|
|
globals from obj (or the respective module's globals for classes),
|
|
and these are also used as the locals. If the object does not appear
|
|
to have globals, an empty dictionary is used.
|
|
|
|
- If one dict argument is passed, it is used for both globals and
|
|
locals.
|
|
|
|
- If two dict arguments are passed, they specify globals and
|
|
locals, respectively.
|
|
"""
|
|
if hasattr(typing, "Annotated"):
|
|
hint = typing.get_type_hints(
|
|
obj, globalns=globalns, localns=localns, include_extras=True
|
|
)
|
|
else:
|
|
hint = typing.get_type_hints(obj, globalns=globalns, localns=localns)
|
|
if include_extras:
|
|
return hint
|
|
return {k: _strip_extras(t) for k, t in hint.items()}
|
|
|
|
|
|
# Python 3.9+ has PEP 593 (Annotated)
|
|
if hasattr(typing, 'Annotated'):
|
|
Annotated = typing.Annotated
|
|
# Not exported and not a public API, but needed for get_origin() and get_args()
|
|
# to work.
|
|
_AnnotatedAlias = typing._AnnotatedAlias
|
|
# 3.7-3.8
|
|
elif PEP_560:
|
|
class _AnnotatedAlias(typing._GenericAlias, _root=True):
|
|
"""Runtime representation of an annotated type.
|
|
|
|
At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't'
|
|
with extra annotations. The alias behaves like a normal typing alias,
|
|
instantiating is the same as instantiating the underlying type, binding
|
|
it to types is also the same.
|
|
"""
|
|
def __init__(self, origin, metadata):
|
|
if isinstance(origin, _AnnotatedAlias):
|
|
metadata = origin.__metadata__ + metadata
|
|
origin = origin.__origin__
|
|
super().__init__(origin, origin)
|
|
self.__metadata__ = metadata
|
|
|
|
def copy_with(self, params):
|
|
assert len(params) == 1
|
|
new_type = params[0]
|
|
return _AnnotatedAlias(new_type, self.__metadata__)
|
|
|
|
def __repr__(self):
|
|
return (f"typing_extensions.Annotated[{typing._type_repr(self.__origin__)}, "
|
|
f"{', '.join(repr(a) for a in self.__metadata__)}]")
|
|
|
|
def __reduce__(self):
|
|
return operator.getitem, (
|
|
Annotated, (self.__origin__,) + self.__metadata__
|
|
)
|
|
|
|
def __eq__(self, other):
|
|
if not isinstance(other, _AnnotatedAlias):
|
|
return NotImplemented
|
|
if self.__origin__ != other.__origin__:
|
|
return False
|
|
return self.__metadata__ == other.__metadata__
|
|
|
|
def __hash__(self):
|
|
return hash((self.__origin__, self.__metadata__))
|
|
|
|
class Annotated:
|
|
"""Add context specific metadata to a type.
|
|
|
|
Example: Annotated[int, runtime_check.Unsigned] indicates to the
|
|
hypothetical runtime_check module that this type is an unsigned int.
|
|
Every other consumer of this type can ignore this metadata and treat
|
|
this type as int.
|
|
|
|
The first argument to Annotated must be a valid type (and will be in
|
|
the __origin__ field), the remaining arguments are kept as a tuple in
|
|
the __extra__ field.
|
|
|
|
Details:
|
|
|
|
- It's an error to call `Annotated` with less than two arguments.
|
|
- Nested Annotated are flattened::
|
|
|
|
Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
|
|
|
|
- Instantiating an annotated type is equivalent to instantiating the
|
|
underlying type::
|
|
|
|
Annotated[C, Ann1](5) == C(5)
|
|
|
|
- Annotated can be used as a generic type alias::
|
|
|
|
Optimized = Annotated[T, runtime.Optimize()]
|
|
Optimized[int] == Annotated[int, runtime.Optimize()]
|
|
|
|
OptimizedList = Annotated[List[T], runtime.Optimize()]
|
|
OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
|
|
"""
|
|
|
|
__slots__ = ()
|
|
|
|
def __new__(cls, *args, **kwargs):
|
|
raise TypeError("Type Annotated cannot be instantiated.")
|
|
|
|
@typing._tp_cache
|
|
def __class_getitem__(cls, params):
|
|
if not isinstance(params, tuple) or len(params) < 2:
|
|
raise TypeError("Annotated[...] should be used "
|
|
"with at least two arguments (a type and an "
|
|
"annotation).")
|
|
allowed_special_forms = (ClassVar, Final)
|
|
if get_origin(params[0]) in allowed_special_forms:
|
|
origin = params[0]
|
|
else:
|
|
msg = "Annotated[t, ...]: t must be a type."
|
|
origin = typing._type_check(params[0], msg)
|
|
metadata = tuple(params[1:])
|
|
return _AnnotatedAlias(origin, metadata)
|
|
|
|
def __init_subclass__(cls, *args, **kwargs):
|
|
raise TypeError(
|
|
f"Cannot subclass {cls.__module__}.Annotated"
|
|
)
|
|
# 3.6
|
|
else:
|
|
|
|
def _is_dunder(name):
|
|
"""Returns True if name is a __dunder_variable_name__."""
|
|
return len(name) > 4 and name.startswith('__') and name.endswith('__')
|
|
|
|
# Prior to Python 3.7 types did not have `copy_with`. A lot of the equality
|
|
# checks, argument expansion etc. are done on the _subs_tre. As a result we
|
|
# can't provide a get_type_hints function that strips out annotations.
|
|
|
|
class AnnotatedMeta(typing.GenericMeta):
|
|
"""Metaclass for Annotated"""
|
|
|
|
def __new__(cls, name, bases, namespace, **kwargs):
|
|
if any(b is not object for b in bases):
|
|
raise TypeError("Cannot subclass " + str(Annotated))
|
|
return super().__new__(cls, name, bases, namespace, **kwargs)
|
|
|
|
@property
|
|
def __metadata__(self):
|
|
return self._subs_tree()[2]
|
|
|
|
def _tree_repr(self, tree):
|
|
cls, origin, metadata = tree
|
|
if not isinstance(origin, tuple):
|
|
tp_repr = typing._type_repr(origin)
|
|
else:
|
|
tp_repr = origin[0]._tree_repr(origin)
|
|
metadata_reprs = ", ".join(repr(arg) for arg in metadata)
|
|
return f'{cls}[{tp_repr}, {metadata_reprs}]'
|
|
|
|
def _subs_tree(self, tvars=None, args=None): # noqa
|
|
if self is Annotated:
|
|
return Annotated
|
|
res = super()._subs_tree(tvars=tvars, args=args)
|
|
# Flatten nested Annotated
|
|
if isinstance(res[1], tuple) and res[1][0] is Annotated:
|
|
sub_tp = res[1][1]
|
|
sub_annot = res[1][2]
|
|
return (Annotated, sub_tp, sub_annot + res[2])
|
|
return res
|
|
|
|
def _get_cons(self):
|
|
"""Return the class used to create instance of this type."""
|
|
if self.__origin__ is None:
|
|
raise TypeError("Cannot get the underlying type of a "
|
|
"non-specialized Annotated type.")
|
|
tree = self._subs_tree()
|
|
while isinstance(tree, tuple) and tree[0] is Annotated:
|
|
tree = tree[1]
|
|
if isinstance(tree, tuple):
|
|
return tree[0]
|
|
else:
|
|
return tree
|
|
|
|
@typing._tp_cache
|
|
def __getitem__(self, params):
|
|
if not isinstance(params, tuple):
|
|
params = (params,)
|
|
if self.__origin__ is not None: # specializing an instantiated type
|
|
return super().__getitem__(params)
|
|
elif not isinstance(params, tuple) or len(params) < 2:
|
|
raise TypeError("Annotated[...] should be instantiated "
|
|
"with at least two arguments (a type and an "
|
|
"annotation).")
|
|
else:
|
|
if (
|
|
isinstance(params[0], typing._TypingBase) and
|
|
type(params[0]).__name__ == "_ClassVar"
|
|
):
|
|
tp = params[0]
|
|
else:
|
|
msg = "Annotated[t, ...]: t must be a type."
|
|
tp = typing._type_check(params[0], msg)
|
|
metadata = tuple(params[1:])
|
|
return self.__class__(
|
|
self.__name__,
|
|
self.__bases__,
|
|
_no_slots_copy(self.__dict__),
|
|
tvars=_type_vars((tp,)),
|
|
# Metadata is a tuple so it won't be touched by _replace_args et al.
|
|
args=(tp, metadata),
|
|
origin=self,
|
|
)
|
|
|
|
def __call__(self, *args, **kwargs):
|
|
cons = self._get_cons()
|
|
result = cons(*args, **kwargs)
|
|
try:
|
|
result.__orig_class__ = self
|
|
except AttributeError:
|
|
pass
|
|
return result
|
|
|
|
def __getattr__(self, attr):
|
|
# For simplicity we just don't relay all dunder names
|
|
if self.__origin__ is not None and not _is_dunder(attr):
|
|
return getattr(self._get_cons(), attr)
|
|
raise AttributeError(attr)
|
|
|
|
def __setattr__(self, attr, value):
|
|
if _is_dunder(attr) or attr.startswith('_abc_'):
|
|
super().__setattr__(attr, value)
|
|
elif self.__origin__ is None:
|
|
raise AttributeError(attr)
|
|
else:
|
|
setattr(self._get_cons(), attr, value)
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError("Annotated cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError("Annotated cannot be used with issubclass().")
|
|
|
|
class Annotated(metaclass=AnnotatedMeta):
|
|
"""Add context specific metadata to a type.
|
|
|
|
Example: Annotated[int, runtime_check.Unsigned] indicates to the
|
|
hypothetical runtime_check module that this type is an unsigned int.
|
|
Every other consumer of this type can ignore this metadata and treat
|
|
this type as int.
|
|
|
|
The first argument to Annotated must be a valid type, the remaining
|
|
arguments are kept as a tuple in the __metadata__ field.
|
|
|
|
Details:
|
|
|
|
- It's an error to call `Annotated` with less than two arguments.
|
|
- Nested Annotated are flattened::
|
|
|
|
Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
|
|
|
|
- Instantiating an annotated type is equivalent to instantiating the
|
|
underlying type::
|
|
|
|
Annotated[C, Ann1](5) == C(5)
|
|
|
|
- Annotated can be used as a generic type alias::
|
|
|
|
Optimized = Annotated[T, runtime.Optimize()]
|
|
Optimized[int] == Annotated[int, runtime.Optimize()]
|
|
|
|
OptimizedList = Annotated[List[T], runtime.Optimize()]
|
|
OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
|
|
"""
|
|
|
|
# Python 3.8 has get_origin() and get_args() but those implementations aren't
|
|
# Annotated-aware, so we can't use those. Python 3.9's versions don't support
|
|
# ParamSpecArgs and ParamSpecKwargs, so only Python 3.10's versions will do.
|
|
if sys.version_info[:2] >= (3, 10):
|
|
get_origin = typing.get_origin
|
|
get_args = typing.get_args
|
|
# 3.7-3.9
|
|
elif PEP_560:
|
|
try:
|
|
# 3.9+
|
|
from typing import _BaseGenericAlias
|
|
except ImportError:
|
|
_BaseGenericAlias = typing._GenericAlias
|
|
try:
|
|
# 3.9+
|
|
from typing import GenericAlias
|
|
except ImportError:
|
|
GenericAlias = typing._GenericAlias
|
|
|
|
def get_origin(tp):
|
|
"""Get the unsubscripted version of a type.
|
|
|
|
This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar
|
|
and Annotated. Return None for unsupported types. Examples::
|
|
|
|
get_origin(Literal[42]) is Literal
|
|
get_origin(int) is None
|
|
get_origin(ClassVar[int]) is ClassVar
|
|
get_origin(Generic) is Generic
|
|
get_origin(Generic[T]) is Generic
|
|
get_origin(Union[T, int]) is Union
|
|
get_origin(List[Tuple[T, T]][int]) == list
|
|
get_origin(P.args) is P
|
|
"""
|
|
if isinstance(tp, _AnnotatedAlias):
|
|
return Annotated
|
|
if isinstance(tp, (typing._GenericAlias, GenericAlias, _BaseGenericAlias,
|
|
ParamSpecArgs, ParamSpecKwargs)):
|
|
return tp.__origin__
|
|
if tp is typing.Generic:
|
|
return typing.Generic
|
|
return None
|
|
|
|
def get_args(tp):
|
|
"""Get type arguments with all substitutions performed.
|
|
|
|
For unions, basic simplifications used by Union constructor are performed.
|
|
Examples::
|
|
get_args(Dict[str, int]) == (str, int)
|
|
get_args(int) == ()
|
|
get_args(Union[int, Union[T, int], str][int]) == (int, str)
|
|
get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
|
|
get_args(Callable[[], T][int]) == ([], int)
|
|
"""
|
|
if isinstance(tp, _AnnotatedAlias):
|
|
return (tp.__origin__,) + tp.__metadata__
|
|
if isinstance(tp, (typing._GenericAlias, GenericAlias)):
|
|
if getattr(tp, "_special", False):
|
|
return ()
|
|
res = tp.__args__
|
|
if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis:
|
|
res = (list(res[:-1]), res[-1])
|
|
return res
|
|
return ()
|
|
|
|
|
|
# 3.10+
|
|
if hasattr(typing, 'TypeAlias'):
|
|
TypeAlias = typing.TypeAlias
|
|
# 3.9
|
|
elif sys.version_info[:2] >= (3, 9):
|
|
class _TypeAliasForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
@_TypeAliasForm
|
|
def TypeAlias(self, parameters):
|
|
"""Special marker indicating that an assignment should
|
|
be recognized as a proper type alias definition by type
|
|
checkers.
|
|
|
|
For example::
|
|
|
|
Predicate: TypeAlias = Callable[..., bool]
|
|
|
|
It's invalid when used anywhere except as in the example above.
|
|
"""
|
|
raise TypeError(f"{self} is not subscriptable")
|
|
# 3.7-3.8
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
class _TypeAliasForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
TypeAlias = _TypeAliasForm('TypeAlias',
|
|
doc="""Special marker indicating that an assignment should
|
|
be recognized as a proper type alias definition by type
|
|
checkers.
|
|
|
|
For example::
|
|
|
|
Predicate: TypeAlias = Callable[..., bool]
|
|
|
|
It's invalid when used anywhere except as in the example
|
|
above.""")
|
|
# 3.6
|
|
else:
|
|
class _TypeAliasMeta(typing.TypingMeta):
|
|
"""Metaclass for TypeAlias"""
|
|
|
|
def __repr__(self):
|
|
return 'typing_extensions.TypeAlias'
|
|
|
|
class _TypeAliasBase(typing._FinalTypingBase, metaclass=_TypeAliasMeta, _root=True):
|
|
"""Special marker indicating that an assignment should
|
|
be recognized as a proper type alias definition by type
|
|
checkers.
|
|
|
|
For example::
|
|
|
|
Predicate: TypeAlias = Callable[..., bool]
|
|
|
|
It's invalid when used anywhere except as in the example above.
|
|
"""
|
|
__slots__ = ()
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError("TypeAlias cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError("TypeAlias cannot be used with issubclass().")
|
|
|
|
def __repr__(self):
|
|
return 'typing_extensions.TypeAlias'
|
|
|
|
TypeAlias = _TypeAliasBase(_root=True)
|
|
|
|
|
|
# Python 3.10+ has PEP 612
|
|
if hasattr(typing, 'ParamSpecArgs'):
|
|
ParamSpecArgs = typing.ParamSpecArgs
|
|
ParamSpecKwargs = typing.ParamSpecKwargs
|
|
# 3.6-3.9
|
|
else:
|
|
class _Immutable:
|
|
"""Mixin to indicate that object should not be copied."""
|
|
__slots__ = ()
|
|
|
|
def __copy__(self):
|
|
return self
|
|
|
|
def __deepcopy__(self, memo):
|
|
return self
|
|
|
|
class ParamSpecArgs(_Immutable):
|
|
"""The args for a ParamSpec object.
|
|
|
|
Given a ParamSpec object P, P.args is an instance of ParamSpecArgs.
|
|
|
|
ParamSpecArgs objects have a reference back to their ParamSpec:
|
|
|
|
P.args.__origin__ is P
|
|
|
|
This type is meant for runtime introspection and has no special meaning to
|
|
static type checkers.
|
|
"""
|
|
def __init__(self, origin):
|
|
self.__origin__ = origin
|
|
|
|
def __repr__(self):
|
|
return f"{self.__origin__.__name__}.args"
|
|
|
|
def __eq__(self, other):
|
|
if not isinstance(other, ParamSpecArgs):
|
|
return NotImplemented
|
|
return self.__origin__ == other.__origin__
|
|
|
|
class ParamSpecKwargs(_Immutable):
|
|
"""The kwargs for a ParamSpec object.
|
|
|
|
Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs.
|
|
|
|
ParamSpecKwargs objects have a reference back to their ParamSpec:
|
|
|
|
P.kwargs.__origin__ is P
|
|
|
|
This type is meant for runtime introspection and has no special meaning to
|
|
static type checkers.
|
|
"""
|
|
def __init__(self, origin):
|
|
self.__origin__ = origin
|
|
|
|
def __repr__(self):
|
|
return f"{self.__origin__.__name__}.kwargs"
|
|
|
|
def __eq__(self, other):
|
|
if not isinstance(other, ParamSpecKwargs):
|
|
return NotImplemented
|
|
return self.__origin__ == other.__origin__
|
|
|
|
# 3.10+
|
|
if hasattr(typing, 'ParamSpec'):
|
|
ParamSpec = typing.ParamSpec
|
|
# 3.6-3.9
|
|
else:
|
|
|
|
# Inherits from list as a workaround for Callable checks in Python < 3.9.2.
|
|
class ParamSpec(list):
|
|
"""Parameter specification variable.
|
|
|
|
Usage::
|
|
|
|
P = ParamSpec('P')
|
|
|
|
Parameter specification variables exist primarily for the benefit of static
|
|
type checkers. They are used to forward the parameter types of one
|
|
callable to another callable, a pattern commonly found in higher order
|
|
functions and decorators. They are only valid when used in ``Concatenate``,
|
|
or s the first argument to ``Callable``. In Python 3.10 and higher,
|
|
they are also supported in user-defined Generics at runtime.
|
|
See class Generic for more information on generic types. An
|
|
example for annotating a decorator::
|
|
|
|
T = TypeVar('T')
|
|
P = ParamSpec('P')
|
|
|
|
def add_logging(f: Callable[P, T]) -> Callable[P, T]:
|
|
'''A type-safe decorator to add logging to a function.'''
|
|
def inner(*args: P.args, **kwargs: P.kwargs) -> T:
|
|
logging.info(f'{f.__name__} was called')
|
|
return f(*args, **kwargs)
|
|
return inner
|
|
|
|
@add_logging
|
|
def add_two(x: float, y: float) -> float:
|
|
'''Add two numbers together.'''
|
|
return x + y
|
|
|
|
Parameter specification variables defined with covariant=True or
|
|
contravariant=True can be used to declare covariant or contravariant
|
|
generic types. These keyword arguments are valid, but their actual semantics
|
|
are yet to be decided. See PEP 612 for details.
|
|
|
|
Parameter specification variables can be introspected. e.g.:
|
|
|
|
P.__name__ == 'T'
|
|
P.__bound__ == None
|
|
P.__covariant__ == False
|
|
P.__contravariant__ == False
|
|
|
|
Note that only parameter specification variables defined in global scope can
|
|
be pickled.
|
|
"""
|
|
|
|
# Trick Generic __parameters__.
|
|
__class__ = typing.TypeVar
|
|
|
|
@property
|
|
def args(self):
|
|
return ParamSpecArgs(self)
|
|
|
|
@property
|
|
def kwargs(self):
|
|
return ParamSpecKwargs(self)
|
|
|
|
def __init__(self, name, *, bound=None, covariant=False, contravariant=False):
|
|
super().__init__([self])
|
|
self.__name__ = name
|
|
self.__covariant__ = bool(covariant)
|
|
self.__contravariant__ = bool(contravariant)
|
|
if bound:
|
|
self.__bound__ = typing._type_check(bound, 'Bound must be a type.')
|
|
else:
|
|
self.__bound__ = None
|
|
|
|
# for pickling:
|
|
try:
|
|
def_mod = sys._getframe(1).f_globals.get('__name__', '__main__')
|
|
except (AttributeError, ValueError):
|
|
def_mod = None
|
|
if def_mod != 'typing_extensions':
|
|
self.__module__ = def_mod
|
|
|
|
def __repr__(self):
|
|
if self.__covariant__:
|
|
prefix = '+'
|
|
elif self.__contravariant__:
|
|
prefix = '-'
|
|
else:
|
|
prefix = '~'
|
|
return prefix + self.__name__
|
|
|
|
def __hash__(self):
|
|
return object.__hash__(self)
|
|
|
|
def __eq__(self, other):
|
|
return self is other
|
|
|
|
def __reduce__(self):
|
|
return self.__name__
|
|
|
|
# Hack to get typing._type_check to pass.
|
|
def __call__(self, *args, **kwargs):
|
|
pass
|
|
|
|
if not PEP_560:
|
|
# Only needed in 3.6.
|
|
def _get_type_vars(self, tvars):
|
|
if self not in tvars:
|
|
tvars.append(self)
|
|
|
|
|
|
# 3.6-3.9
|
|
if not hasattr(typing, 'Concatenate'):
|
|
# Inherits from list as a workaround for Callable checks in Python < 3.9.2.
|
|
class _ConcatenateGenericAlias(list):
|
|
|
|
# Trick Generic into looking into this for __parameters__.
|
|
if PEP_560:
|
|
__class__ = typing._GenericAlias
|
|
else:
|
|
__class__ = typing._TypingBase
|
|
|
|
# Flag in 3.8.
|
|
_special = False
|
|
# Attribute in 3.6 and earlier.
|
|
_gorg = typing.Generic
|
|
|
|
def __init__(self, origin, args):
|
|
super().__init__(args)
|
|
self.__origin__ = origin
|
|
self.__args__ = args
|
|
|
|
def __repr__(self):
|
|
_type_repr = typing._type_repr
|
|
return (f'{_type_repr(self.__origin__)}'
|
|
f'[{", ".join(_type_repr(arg) for arg in self.__args__)}]')
|
|
|
|
def __hash__(self):
|
|
return hash((self.__origin__, self.__args__))
|
|
|
|
# Hack to get typing._type_check to pass in Generic.
|
|
def __call__(self, *args, **kwargs):
|
|
pass
|
|
|
|
@property
|
|
def __parameters__(self):
|
|
return tuple(
|
|
tp for tp in self.__args__ if isinstance(tp, (typing.TypeVar, ParamSpec))
|
|
)
|
|
|
|
if not PEP_560:
|
|
# Only required in 3.6.
|
|
def _get_type_vars(self, tvars):
|
|
if self.__origin__ and self.__parameters__:
|
|
typing._get_type_vars(self.__parameters__, tvars)
|
|
|
|
|
|
# 3.6-3.9
|
|
@typing._tp_cache
|
|
def _concatenate_getitem(self, parameters):
|
|
if parameters == ():
|
|
raise TypeError("Cannot take a Concatenate of no types.")
|
|
if not isinstance(parameters, tuple):
|
|
parameters = (parameters,)
|
|
if not isinstance(parameters[-1], ParamSpec):
|
|
raise TypeError("The last parameter to Concatenate should be a "
|
|
"ParamSpec variable.")
|
|
msg = "Concatenate[arg, ...]: each arg must be a type."
|
|
parameters = tuple(typing._type_check(p, msg) for p in parameters)
|
|
return _ConcatenateGenericAlias(self, parameters)
|
|
|
|
|
|
# 3.10+
|
|
if hasattr(typing, 'Concatenate'):
|
|
Concatenate = typing.Concatenate
|
|
_ConcatenateGenericAlias = typing._ConcatenateGenericAlias # noqa
|
|
# 3.9
|
|
elif sys.version_info[:2] >= (3, 9):
|
|
@_TypeAliasForm
|
|
def Concatenate(self, parameters):
|
|
"""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
|
|
higher order function which adds, removes or transforms parameters of a
|
|
callable.
|
|
|
|
For example::
|
|
|
|
Callable[Concatenate[int, P], int]
|
|
|
|
See PEP 612 for detailed information.
|
|
"""
|
|
return _concatenate_getitem(self, parameters)
|
|
# 3.7-8
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
class _ConcatenateForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
def __getitem__(self, parameters):
|
|
return _concatenate_getitem(self, parameters)
|
|
|
|
Concatenate = _ConcatenateForm(
|
|
'Concatenate',
|
|
doc="""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
|
|
higher order function which adds, removes or transforms parameters of a
|
|
callable.
|
|
|
|
For example::
|
|
|
|
Callable[Concatenate[int, P], int]
|
|
|
|
See PEP 612 for detailed information.
|
|
""")
|
|
# 3.6
|
|
else:
|
|
class _ConcatenateAliasMeta(typing.TypingMeta):
|
|
"""Metaclass for Concatenate."""
|
|
|
|
def __repr__(self):
|
|
return 'typing_extensions.Concatenate'
|
|
|
|
class _ConcatenateAliasBase(typing._FinalTypingBase,
|
|
metaclass=_ConcatenateAliasMeta,
|
|
_root=True):
|
|
"""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
|
|
higher order function which adds, removes or transforms parameters of a
|
|
callable.
|
|
|
|
For example::
|
|
|
|
Callable[Concatenate[int, P], int]
|
|
|
|
See PEP 612 for detailed information.
|
|
"""
|
|
__slots__ = ()
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError("Concatenate cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError("Concatenate cannot be used with issubclass().")
|
|
|
|
def __repr__(self):
|
|
return 'typing_extensions.Concatenate'
|
|
|
|
def __getitem__(self, parameters):
|
|
return _concatenate_getitem(self, parameters)
|
|
|
|
Concatenate = _ConcatenateAliasBase(_root=True)
|
|
|
|
# 3.10+
|
|
if hasattr(typing, 'TypeGuard'):
|
|
TypeGuard = typing.TypeGuard
|
|
# 3.9
|
|
elif sys.version_info[:2] >= (3, 9):
|
|
class _TypeGuardForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
@_TypeGuardForm
|
|
def TypeGuard(self, parameters):
|
|
"""Special typing form used to annotate the return type of a user-defined
|
|
type guard function. ``TypeGuard`` only accepts a single type argument.
|
|
At runtime, functions marked this way should return a boolean.
|
|
|
|
``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
|
|
type checkers to determine a more precise type of an expression within a
|
|
program's code flow. Usually type narrowing is done by analyzing
|
|
conditional code flow and applying the narrowing to a block of code. The
|
|
conditional expression here is sometimes referred to as a "type guard".
|
|
|
|
Sometimes it would be convenient to use a user-defined boolean function
|
|
as a type guard. Such a function should use ``TypeGuard[...]`` as its
|
|
return type to alert static type checkers to this intention.
|
|
|
|
Using ``-> TypeGuard`` tells the static type checker that for a given
|
|
function:
|
|
|
|
1. The return value is a boolean.
|
|
2. If the return value is ``True``, the type of its argument
|
|
is the type inside ``TypeGuard``.
|
|
|
|
For example::
|
|
|
|
def is_str(val: Union[str, float]):
|
|
# "isinstance" type guard
|
|
if isinstance(val, str):
|
|
# Type of ``val`` is narrowed to ``str``
|
|
...
|
|
else:
|
|
# Else, type of ``val`` is narrowed to ``float``.
|
|
...
|
|
|
|
Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
|
|
form of ``TypeA`` (it can even be a wider form) and this may lead to
|
|
type-unsafe results. The main reason is to allow for things like
|
|
narrowing ``List[object]`` to ``List[str]`` even though the latter is not
|
|
a subtype of the former, since ``List`` is invariant. The responsibility of
|
|
writing type-safe type guards is left to the user.
|
|
|
|
``TypeGuard`` also works with type variables. For more information, see
|
|
PEP 647 (User-Defined Type Guards).
|
|
"""
|
|
item = typing._type_check(parameters, f'{self} accepts only single type.')
|
|
return typing._GenericAlias(self, (item,))
|
|
# 3.7-3.8
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
class _TypeGuardForm(typing._SpecialForm, _root=True):
|
|
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
def __getitem__(self, parameters):
|
|
item = typing._type_check(parameters,
|
|
f'{self._name} accepts only a single type')
|
|
return typing._GenericAlias(self, (item,))
|
|
|
|
TypeGuard = _TypeGuardForm(
|
|
'TypeGuard',
|
|
doc="""Special typing form used to annotate the return type of a user-defined
|
|
type guard function. ``TypeGuard`` only accepts a single type argument.
|
|
At runtime, functions marked this way should return a boolean.
|
|
|
|
``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
|
|
type checkers to determine a more precise type of an expression within a
|
|
program's code flow. Usually type narrowing is done by analyzing
|
|
conditional code flow and applying the narrowing to a block of code. The
|
|
conditional expression here is sometimes referred to as a "type guard".
|
|
|
|
Sometimes it would be convenient to use a user-defined boolean function
|
|
as a type guard. Such a function should use ``TypeGuard[...]`` as its
|
|
return type to alert static type checkers to this intention.
|
|
|
|
Using ``-> TypeGuard`` tells the static type checker that for a given
|
|
function:
|
|
|
|
1. The return value is a boolean.
|
|
2. If the return value is ``True``, the type of its argument
|
|
is the type inside ``TypeGuard``.
|
|
|
|
For example::
|
|
|
|
def is_str(val: Union[str, float]):
|
|
# "isinstance" type guard
|
|
if isinstance(val, str):
|
|
# Type of ``val`` is narrowed to ``str``
|
|
...
|
|
else:
|
|
# Else, type of ``val`` is narrowed to ``float``.
|
|
...
|
|
|
|
Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
|
|
form of ``TypeA`` (it can even be a wider form) and this may lead to
|
|
type-unsafe results. The main reason is to allow for things like
|
|
narrowing ``List[object]`` to ``List[str]`` even though the latter is not
|
|
a subtype of the former, since ``List`` is invariant. The responsibility of
|
|
writing type-safe type guards is left to the user.
|
|
|
|
``TypeGuard`` also works with type variables. For more information, see
|
|
PEP 647 (User-Defined Type Guards).
|
|
""")
|
|
# 3.6
|
|
else:
|
|
class _TypeGuard(typing._FinalTypingBase, _root=True):
|
|
"""Special typing form used to annotate the return type of a user-defined
|
|
type guard function. ``TypeGuard`` only accepts a single type argument.
|
|
At runtime, functions marked this way should return a boolean.
|
|
|
|
``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
|
|
type checkers to determine a more precise type of an expression within a
|
|
program's code flow. Usually type narrowing is done by analyzing
|
|
conditional code flow and applying the narrowing to a block of code. The
|
|
conditional expression here is sometimes referred to as a "type guard".
|
|
|
|
Sometimes it would be convenient to use a user-defined boolean function
|
|
as a type guard. Such a function should use ``TypeGuard[...]`` as its
|
|
return type to alert static type checkers to this intention.
|
|
|
|
Using ``-> TypeGuard`` tells the static type checker that for a given
|
|
function:
|
|
|
|
1. The return value is a boolean.
|
|
2. If the return value is ``True``, the type of its argument
|
|
is the type inside ``TypeGuard``.
|
|
|
|
For example::
|
|
|
|
def is_str(val: Union[str, float]):
|
|
# "isinstance" type guard
|
|
if isinstance(val, str):
|
|
# Type of ``val`` is narrowed to ``str``
|
|
...
|
|
else:
|
|
# Else, type of ``val`` is narrowed to ``float``.
|
|
...
|
|
|
|
Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
|
|
form of ``TypeA`` (it can even be a wider form) and this may lead to
|
|
type-unsafe results. The main reason is to allow for things like
|
|
narrowing ``List[object]`` to ``List[str]`` even though the latter is not
|
|
a subtype of the former, since ``List`` is invariant. The responsibility of
|
|
writing type-safe type guards is left to the user.
|
|
|
|
``TypeGuard`` also works with type variables. For more information, see
|
|
PEP 647 (User-Defined Type Guards).
|
|
"""
|
|
|
|
__slots__ = ('__type__',)
|
|
|
|
def __init__(self, tp=None, **kwds):
|
|
self.__type__ = tp
|
|
|
|
def __getitem__(self, item):
|
|
cls = type(self)
|
|
if self.__type__ is None:
|
|
return cls(typing._type_check(item,
|
|
f'{cls.__name__[1:]} accepts only a single type.'),
|
|
_root=True)
|
|
raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted')
|
|
|
|
def _eval_type(self, globalns, localns):
|
|
new_tp = typing._eval_type(self.__type__, globalns, localns)
|
|
if new_tp == self.__type__:
|
|
return self
|
|
return type(self)(new_tp, _root=True)
|
|
|
|
def __repr__(self):
|
|
r = super().__repr__()
|
|
if self.__type__ is not None:
|
|
r += f'[{typing._type_repr(self.__type__)}]'
|
|
return r
|
|
|
|
def __hash__(self):
|
|
return hash((type(self).__name__, self.__type__))
|
|
|
|
def __eq__(self, other):
|
|
if not isinstance(other, _TypeGuard):
|
|
return NotImplemented
|
|
if self.__type__ is not None:
|
|
return self.__type__ == other.__type__
|
|
return self is other
|
|
|
|
TypeGuard = _TypeGuard(_root=True)
|
|
|
|
|
|
if sys.version_info[:2] >= (3, 7):
|
|
# Vendored from cpython typing._SpecialFrom
|
|
class _SpecialForm(typing._Final, _root=True):
|
|
__slots__ = ('_name', '__doc__', '_getitem')
|
|
|
|
def __init__(self, getitem):
|
|
self._getitem = getitem
|
|
self._name = getitem.__name__
|
|
self.__doc__ = getitem.__doc__
|
|
|
|
def __getattr__(self, item):
|
|
if item in {'__name__', '__qualname__'}:
|
|
return self._name
|
|
|
|
raise AttributeError(item)
|
|
|
|
def __mro_entries__(self, bases):
|
|
raise TypeError(f"Cannot subclass {self!r}")
|
|
|
|
def __repr__(self):
|
|
return f'typing_extensions.{self._name}'
|
|
|
|
def __reduce__(self):
|
|
return self._name
|
|
|
|
def __call__(self, *args, **kwds):
|
|
raise TypeError(f"Cannot instantiate {self!r}")
|
|
|
|
def __or__(self, other):
|
|
return typing.Union[self, other]
|
|
|
|
def __ror__(self, other):
|
|
return typing.Union[other, self]
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError(f"{self} cannot be used with isinstance()")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError(f"{self} cannot be used with issubclass()")
|
|
|
|
@typing._tp_cache
|
|
def __getitem__(self, parameters):
|
|
return self._getitem(self, parameters)
|
|
|
|
|
|
if hasattr(typing, "LiteralString"):
|
|
LiteralString = typing.LiteralString
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
@_SpecialForm
|
|
def LiteralString(self, params):
|
|
"""Represents an arbitrary literal string.
|
|
|
|
Example::
|
|
|
|
from typing_extensions import LiteralString
|
|
|
|
def query(sql: LiteralString) -> ...:
|
|
...
|
|
|
|
query("SELECT * FROM table") # ok
|
|
query(f"SELECT * FROM {input()}") # not ok
|
|
|
|
See PEP 675 for details.
|
|
|
|
"""
|
|
raise TypeError(f"{self} is not subscriptable")
|
|
else:
|
|
class _LiteralString(typing._FinalTypingBase, _root=True):
|
|
"""Represents an arbitrary literal string.
|
|
|
|
Example::
|
|
|
|
from typing_extensions import LiteralString
|
|
|
|
def query(sql: LiteralString) -> ...:
|
|
...
|
|
|
|
query("SELECT * FROM table") # ok
|
|
query(f"SELECT * FROM {input()}") # not ok
|
|
|
|
See PEP 675 for details.
|
|
|
|
"""
|
|
|
|
__slots__ = ()
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError(f"{self} cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError(f"{self} cannot be used with issubclass().")
|
|
|
|
LiteralString = _LiteralString(_root=True)
|
|
|
|
|
|
if hasattr(typing, "Self"):
|
|
Self = typing.Self
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
@_SpecialForm
|
|
def Self(self, params):
|
|
"""Used to spell the type of "self" in classes.
|
|
|
|
Example::
|
|
|
|
from typing import Self
|
|
|
|
class ReturnsSelf:
|
|
def parse(self, data: bytes) -> Self:
|
|
...
|
|
return self
|
|
|
|
"""
|
|
|
|
raise TypeError(f"{self} is not subscriptable")
|
|
else:
|
|
class _Self(typing._FinalTypingBase, _root=True):
|
|
"""Used to spell the type of "self" in classes.
|
|
|
|
Example::
|
|
|
|
from typing import Self
|
|
|
|
class ReturnsSelf:
|
|
def parse(self, data: bytes) -> Self:
|
|
...
|
|
return self
|
|
|
|
"""
|
|
|
|
__slots__ = ()
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError(f"{self} cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError(f"{self} cannot be used with issubclass().")
|
|
|
|
Self = _Self(_root=True)
|
|
|
|
|
|
if hasattr(typing, "Never"):
|
|
Never = typing.Never
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
@_SpecialForm
|
|
def Never(self, params):
|
|
"""The bottom type, a type that has no members.
|
|
|
|
This can be used to define a function that should never be
|
|
called, or a function that never returns::
|
|
|
|
from typing_extensions import Never
|
|
|
|
def never_call_me(arg: Never) -> None:
|
|
pass
|
|
|
|
def int_or_str(arg: int | str) -> None:
|
|
never_call_me(arg) # type checker error
|
|
match arg:
|
|
case int():
|
|
print("It's an int")
|
|
case str():
|
|
print("It's a str")
|
|
case _:
|
|
never_call_me(arg) # ok, arg is of type Never
|
|
|
|
"""
|
|
|
|
raise TypeError(f"{self} is not subscriptable")
|
|
else:
|
|
class _Never(typing._FinalTypingBase, _root=True):
|
|
"""The bottom type, a type that has no members.
|
|
|
|
This can be used to define a function that should never be
|
|
called, or a function that never returns::
|
|
|
|
from typing_extensions import Never
|
|
|
|
def never_call_me(arg: Never) -> None:
|
|
pass
|
|
|
|
def int_or_str(arg: int | str) -> None:
|
|
never_call_me(arg) # type checker error
|
|
match arg:
|
|
case int():
|
|
print("It's an int")
|
|
case str():
|
|
print("It's a str")
|
|
case _:
|
|
never_call_me(arg) # ok, arg is of type Never
|
|
|
|
"""
|
|
|
|
__slots__ = ()
|
|
|
|
def __instancecheck__(self, obj):
|
|
raise TypeError(f"{self} cannot be used with isinstance().")
|
|
|
|
def __subclasscheck__(self, cls):
|
|
raise TypeError(f"{self} cannot be used with issubclass().")
|
|
|
|
Never = _Never(_root=True)
|
|
|
|
|
|
if hasattr(typing, 'Required'):
|
|
Required = typing.Required
|
|
NotRequired = typing.NotRequired
|
|
elif sys.version_info[:2] >= (3, 9):
|
|
class _ExtensionsSpecialForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
@_ExtensionsSpecialForm
|
|
def Required(self, parameters):
|
|
"""A special typing construct to mark a key of a total=False TypedDict
|
|
as required. For example:
|
|
|
|
class Movie(TypedDict, total=False):
|
|
title: Required[str]
|
|
year: int
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
|
|
There is no runtime checking that a required key is actually provided
|
|
when instantiating a related TypedDict.
|
|
"""
|
|
item = typing._type_check(parameters, f'{self._name} accepts only single type')
|
|
return typing._GenericAlias(self, (item,))
|
|
|
|
@_ExtensionsSpecialForm
|
|
def NotRequired(self, parameters):
|
|
"""A special typing construct to mark a key of a TypedDict as
|
|
potentially missing. For example:
|
|
|
|
class Movie(TypedDict):
|
|
title: str
|
|
year: NotRequired[int]
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
"""
|
|
item = typing._type_check(parameters, f'{self._name} accepts only single type')
|
|
return typing._GenericAlias(self, (item,))
|
|
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
class _RequiredForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
def __getitem__(self, parameters):
|
|
item = typing._type_check(parameters,
|
|
'{} accepts only single type'.format(self._name))
|
|
return typing._GenericAlias(self, (item,))
|
|
|
|
Required = _RequiredForm(
|
|
'Required',
|
|
doc="""A special typing construct to mark a key of a total=False TypedDict
|
|
as required. For example:
|
|
|
|
class Movie(TypedDict, total=False):
|
|
title: Required[str]
|
|
year: int
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
|
|
There is no runtime checking that a required key is actually provided
|
|
when instantiating a related TypedDict.
|
|
""")
|
|
NotRequired = _RequiredForm(
|
|
'NotRequired',
|
|
doc="""A special typing construct to mark a key of a TypedDict as
|
|
potentially missing. For example:
|
|
|
|
class Movie(TypedDict):
|
|
title: str
|
|
year: NotRequired[int]
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
""")
|
|
else:
|
|
# NOTE: Modeled after _Final's implementation when _FinalTypingBase available
|
|
class _MaybeRequired(typing._FinalTypingBase, _root=True):
|
|
__slots__ = ('__type__',)
|
|
|
|
def __init__(self, tp=None, **kwds):
|
|
self.__type__ = tp
|
|
|
|
def __getitem__(self, item):
|
|
cls = type(self)
|
|
if self.__type__ is None:
|
|
return cls(typing._type_check(item,
|
|
'{} accepts only single type.'.format(cls.__name__[1:])),
|
|
_root=True)
|
|
raise TypeError('{} cannot be further subscripted'
|
|
.format(cls.__name__[1:]))
|
|
|
|
def _eval_type(self, globalns, localns):
|
|
new_tp = typing._eval_type(self.__type__, globalns, localns)
|
|
if new_tp == self.__type__:
|
|
return self
|
|
return type(self)(new_tp, _root=True)
|
|
|
|
def __repr__(self):
|
|
r = super().__repr__()
|
|
if self.__type__ is not None:
|
|
r += '[{}]'.format(typing._type_repr(self.__type__))
|
|
return r
|
|
|
|
def __hash__(self):
|
|
return hash((type(self).__name__, self.__type__))
|
|
|
|
def __eq__(self, other):
|
|
if not isinstance(other, type(self)):
|
|
return NotImplemented
|
|
if self.__type__ is not None:
|
|
return self.__type__ == other.__type__
|
|
return self is other
|
|
|
|
class _Required(_MaybeRequired, _root=True):
|
|
"""A special typing construct to mark a key of a total=False TypedDict
|
|
as required. For example:
|
|
|
|
class Movie(TypedDict, total=False):
|
|
title: Required[str]
|
|
year: int
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
|
|
There is no runtime checking that a required key is actually provided
|
|
when instantiating a related TypedDict.
|
|
"""
|
|
|
|
class _NotRequired(_MaybeRequired, _root=True):
|
|
"""A special typing construct to mark a key of a TypedDict as
|
|
potentially missing. For example:
|
|
|
|
class Movie(TypedDict):
|
|
title: str
|
|
year: NotRequired[int]
|
|
|
|
m = Movie(
|
|
title='The Matrix', # typechecker error if key is omitted
|
|
year=1999,
|
|
)
|
|
"""
|
|
|
|
Required = _Required(_root=True)
|
|
NotRequired = _NotRequired(_root=True)
|
|
|
|
|
|
if sys.version_info[:2] >= (3, 9):
|
|
class _UnpackSpecialForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
class _UnpackAlias(typing._GenericAlias, _root=True):
|
|
__class__ = typing.TypeVar
|
|
|
|
@_UnpackSpecialForm
|
|
def Unpack(self, parameters):
|
|
"""A special typing construct to unpack a variadic type. For example:
|
|
|
|
Shape = TypeVarTuple('Shape')
|
|
Batch = NewType('Batch', int)
|
|
|
|
def add_batch_axis(
|
|
x: Array[Unpack[Shape]]
|
|
) -> Array[Batch, Unpack[Shape]]: ...
|
|
|
|
"""
|
|
item = typing._type_check(parameters, f'{self._name} accepts only single type')
|
|
return _UnpackAlias(self, (item,))
|
|
|
|
def _is_unpack(obj):
|
|
return isinstance(obj, _UnpackAlias)
|
|
|
|
elif sys.version_info[:2] >= (3, 7):
|
|
class _UnpackAlias(typing._GenericAlias, _root=True):
|
|
__class__ = typing.TypeVar
|
|
|
|
class _UnpackForm(typing._SpecialForm, _root=True):
|
|
def __repr__(self):
|
|
return 'typing_extensions.' + self._name
|
|
|
|
def __getitem__(self, parameters):
|
|
item = typing._type_check(parameters,
|
|
f'{self._name} accepts only single type')
|
|
return _UnpackAlias(self, (item,))
|
|
|
|
Unpack = _UnpackForm(
|
|
'Unpack',
|
|
doc="""A special typing construct to unpack a variadic type. For example:
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Shape = TypeVarTuple('Shape')
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Batch = NewType('Batch', int)
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def add_batch_axis(
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x: Array[Unpack[Shape]]
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) -> Array[Batch, Unpack[Shape]]: ...
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""")
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def _is_unpack(obj):
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return isinstance(obj, _UnpackAlias)
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else:
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# NOTE: Modeled after _Final's implementation when _FinalTypingBase available
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class _Unpack(typing._FinalTypingBase, _root=True):
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"""A special typing construct to unpack a variadic type. For example:
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Shape = TypeVarTuple('Shape')
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Batch = NewType('Batch', int)
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def add_batch_axis(
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x: Array[Unpack[Shape]]
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) -> Array[Batch, Unpack[Shape]]: ...
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"""
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__slots__ = ('__type__',)
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__class__ = typing.TypeVar
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def __init__(self, tp=None, **kwds):
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self.__type__ = tp
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def __getitem__(self, item):
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cls = type(self)
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if self.__type__ is None:
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return cls(typing._type_check(item,
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'Unpack accepts only single type.'),
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_root=True)
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raise TypeError('Unpack cannot be further subscripted')
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def _eval_type(self, globalns, localns):
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new_tp = typing._eval_type(self.__type__, globalns, localns)
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if new_tp == self.__type__:
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return self
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return type(self)(new_tp, _root=True)
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def __repr__(self):
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r = super().__repr__()
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if self.__type__ is not None:
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r += '[{}]'.format(typing._type_repr(self.__type__))
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return r
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def __hash__(self):
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return hash((type(self).__name__, self.__type__))
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def __eq__(self, other):
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if not isinstance(other, _Unpack):
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return NotImplemented
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if self.__type__ is not None:
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return self.__type__ == other.__type__
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return self is other
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# For 3.6 only
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def _get_type_vars(self, tvars):
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self.__type__._get_type_vars(tvars)
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Unpack = _Unpack(_root=True)
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def _is_unpack(obj):
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return isinstance(obj, _Unpack)
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class TypeVarTuple:
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"""Type variable tuple.
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Usage::
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Ts = TypeVarTuple('Ts')
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In the same way that a normal type variable is a stand-in for a single
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type such as ``int``, a type variable *tuple* is a stand-in for a *tuple* type such as
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``Tuple[int, str]``.
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Type variable tuples can be used in ``Generic`` declarations.
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Consider the following example::
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class Array(Generic[*Ts]): ...
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The ``Ts`` type variable tuple here behaves like ``tuple[T1, T2]``,
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where ``T1`` and ``T2`` are type variables. To use these type variables
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as type parameters of ``Array``, we must *unpack* the type variable tuple using
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the star operator: ``*Ts``. The signature of ``Array`` then behaves
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as if we had simply written ``class Array(Generic[T1, T2]): ...``.
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In contrast to ``Generic[T1, T2]``, however, ``Generic[*Shape]`` allows
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us to parameterise the class with an *arbitrary* number of type parameters.
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Type variable tuples can be used anywhere a normal ``TypeVar`` can.
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This includes class definitions, as shown above, as well as function
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signatures and variable annotations::
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class Array(Generic[*Ts]):
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def __init__(self, shape: Tuple[*Ts]):
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self._shape: Tuple[*Ts] = shape
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def get_shape(self) -> Tuple[*Ts]:
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return self._shape
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shape = (Height(480), Width(640))
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x: Array[Height, Width] = Array(shape)
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y = abs(x) # Inferred type is Array[Height, Width]
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z = x + x # ... is Array[Height, Width]
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x.get_shape() # ... is tuple[Height, Width]
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"""
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# Trick Generic __parameters__.
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__class__ = typing.TypeVar
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def __iter__(self):
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yield self.__unpacked__
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def __init__(self, name):
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self.__name__ = name
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# for pickling:
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try:
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def_mod = sys._getframe(1).f_globals.get('__name__', '__main__')
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except (AttributeError, ValueError):
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def_mod = None
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if def_mod != 'typing_extensions':
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self.__module__ = def_mod
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self.__unpacked__ = Unpack[self]
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def __repr__(self):
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return self.__name__
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def __hash__(self):
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return object.__hash__(self)
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def __eq__(self, other):
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return self is other
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def __reduce__(self):
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return self.__name__
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def __init_subclass__(self, *args, **kwds):
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if '_root' not in kwds:
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raise TypeError("Cannot subclass special typing classes")
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if not PEP_560:
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# Only needed in 3.6.
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def _get_type_vars(self, tvars):
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if self not in tvars:
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tvars.append(self)
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if hasattr(typing, "reveal_type"):
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reveal_type = typing.reveal_type
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else:
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def reveal_type(__obj: T) -> T:
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"""Reveal the inferred type of a variable.
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When a static type checker encounters a call to ``reveal_type()``,
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it will emit the inferred type of the argument::
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x: int = 1
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reveal_type(x)
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Running a static type checker (e.g., ``mypy``) on this example
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will produce output similar to 'Revealed type is "builtins.int"'.
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At runtime, the function prints the runtime type of the
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argument and returns it unchanged.
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"""
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print(f"Runtime type is {type(__obj).__name__!r}", file=sys.stderr)
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return __obj
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if hasattr(typing, "assert_never"):
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assert_never = typing.assert_never
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else:
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def assert_never(__arg: Never) -> Never:
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"""Assert to the type checker that a line of code is unreachable.
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Example::
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def int_or_str(arg: int | str) -> None:
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match arg:
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case int():
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print("It's an int")
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case str():
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print("It's a str")
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case _:
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assert_never(arg)
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If a type checker finds that a call to assert_never() is
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reachable, it will emit an error.
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At runtime, this throws an exception when called.
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"""
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raise AssertionError("Expected code to be unreachable")
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if hasattr(typing, 'dataclass_transform'):
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dataclass_transform = typing.dataclass_transform
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else:
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def dataclass_transform(
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*,
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eq_default: bool = True,
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order_default: bool = False,
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kw_only_default: bool = False,
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field_descriptors: typing.Tuple[
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typing.Union[typing.Type[typing.Any], typing.Callable[..., typing.Any]],
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...
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] = (),
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) -> typing.Callable[[T], T]:
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"""Decorator that marks a function, class, or metaclass as providing
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dataclass-like behavior.
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Example:
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from typing_extensions import dataclass_transform
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_T = TypeVar("_T")
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# Used on a decorator function
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@dataclass_transform()
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def create_model(cls: type[_T]) -> type[_T]:
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...
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return cls
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@create_model
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class CustomerModel:
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id: int
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name: str
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# Used on a base class
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@dataclass_transform()
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class ModelBase: ...
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class CustomerModel(ModelBase):
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id: int
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name: str
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# Used on a metaclass
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@dataclass_transform()
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class ModelMeta(type): ...
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class ModelBase(metaclass=ModelMeta): ...
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class CustomerModel(ModelBase):
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id: int
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name: str
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Each of the ``CustomerModel`` classes defined in this example will now
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behave similarly to a dataclass created with the ``@dataclasses.dataclass``
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decorator. For example, the type checker will synthesize an ``__init__``
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method.
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The arguments to this decorator can be used to customize this behavior:
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- ``eq_default`` indicates whether the ``eq`` parameter is assumed to be
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True or False if it is omitted by the caller.
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- ``order_default`` indicates whether the ``order`` parameter is
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assumed to be True or False if it is omitted by the caller.
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- ``kw_only_default`` indicates whether the ``kw_only`` parameter is
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assumed to be True or False if it is omitted by the caller.
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- ``field_descriptors`` specifies a static list of supported classes
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or functions, that describe fields, similar to ``dataclasses.field()``.
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At runtime, this decorator records its arguments in the
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``__dataclass_transform__`` attribute on the decorated object.
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See PEP 681 for details.
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"""
|
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def decorator(cls_or_fn):
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cls_or_fn.__dataclass_transform__ = {
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"eq_default": eq_default,
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"order_default": order_default,
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"kw_only_default": kw_only_default,
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"field_descriptors": field_descriptors,
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}
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return cls_or_fn
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return decorator
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# We have to do some monkey patching to deal with the dual nature of
|
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# Unpack/TypeVarTuple:
|
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# - We want Unpack to be a kind of TypeVar so it gets accepted in
|
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# Generic[Unpack[Ts]]
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# - We want it to *not* be treated as a TypeVar for the purposes of
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# counting generic parameters, so that when we subscript a generic,
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# the runtime doesn't try to substitute the Unpack with the subscripted type.
|
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if not hasattr(typing, "TypeVarTuple"):
|
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typing._collect_type_vars = _collect_type_vars
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typing._check_generic = _check_generic
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