# Stubs for typing (Python 2.7) import collections # Needed by aliases like DefaultDict, see mypy issue 2986 from abc import ABCMeta, abstractmethod from types import CodeType, FrameType, TracebackType # Definitions of special type checking related constructs. Their definitions # are not used, so their value does not matter. overload = object() Any = object() class TypeVar: __name__: str __bound__: Optional[Type[Any]] __constraints__: Tuple[Type[Any], ...] __covariant__: bool __contravariant__: bool def __init__( self, name: str, *constraints: Type[Any], bound: Optional[Type[Any]] = ..., covariant: bool = ..., contravariant: bool = ..., ) -> None: ... _promote = object() class _SpecialForm(object): def __getitem__(self, typeargs: Any) -> object: ... Union: _SpecialForm = ... Optional: _SpecialForm = ... Tuple: _SpecialForm = ... Generic: _SpecialForm = ... Protocol: _SpecialForm = ... Callable: _SpecialForm = ... Type: _SpecialForm = ... ClassVar: _SpecialForm = ... Final: _SpecialForm = ... _F = TypeVar("_F", bound=Callable[..., Any]) def final(f: _F) -> _F: ... Literal: _SpecialForm = ... # TypedDict is a (non-subscriptable) special form. TypedDict: object = ... class GenericMeta(type): ... # Return type that indicates a function does not return. # This type is equivalent to the None type, but the no-op Union is necessary to # distinguish the None type from the None value. NoReturn = Union[None] # These type variables are used by the container types. _T = TypeVar("_T") _S = TypeVar("_S") _KT = TypeVar("_KT") # Key type. _VT = TypeVar("_VT") # Value type. _T_co = TypeVar("_T_co", covariant=True) # Any type covariant containers. _V_co = TypeVar("_V_co", covariant=True) # Any type covariant containers. _KT_co = TypeVar("_KT_co", covariant=True) # Key type covariant containers. _VT_co = TypeVar("_VT_co", covariant=True) # Value type covariant containers. _T_contra = TypeVar("_T_contra", contravariant=True) # Ditto contravariant. _TC = TypeVar("_TC", bound=Type[object]) _C = TypeVar("_C", bound=Callable[..., Any]) no_type_check = object() def no_type_check_decorator(decorator: _C) -> _C: ... # Type aliases and type constructors class _Alias: # Class for defining generic aliases for library types. def __getitem__(self, typeargs: Any) -> Any: ... List = _Alias() Dict = _Alias() DefaultDict = _Alias() Set = _Alias() FrozenSet = _Alias() Counter = _Alias() Deque = _Alias() # Predefined type variables. AnyStr = TypeVar("AnyStr", str, unicode) # Abstract base classes. def runtime_checkable(cls: _TC) -> _TC: ... @runtime_checkable class SupportsInt(Protocol, metaclass=ABCMeta): @abstractmethod def __int__(self) -> int: ... @runtime_checkable class SupportsFloat(Protocol, metaclass=ABCMeta): @abstractmethod def __float__(self) -> float: ... @runtime_checkable class SupportsComplex(Protocol, metaclass=ABCMeta): @abstractmethod def __complex__(self) -> complex: ... @runtime_checkable class SupportsAbs(Protocol[_T_co]): @abstractmethod def __abs__(self) -> _T_co: ... @runtime_checkable class Reversible(Protocol[_T_co]): @abstractmethod def __reversed__(self) -> Iterator[_T_co]: ... @runtime_checkable class Sized(Protocol, metaclass=ABCMeta): @abstractmethod def __len__(self) -> int: ... @runtime_checkable class Hashable(Protocol, metaclass=ABCMeta): # TODO: This is special, in that a subclass of a hashable class may not be hashable # (for example, list vs. object). It's not obvious how to represent this. This class # is currently mostly useless for static checking. @abstractmethod def __hash__(self) -> int: ... @runtime_checkable class Iterable(Protocol[_T_co]): @abstractmethod def __iter__(self) -> Iterator[_T_co]: ... @runtime_checkable class Iterator(Iterable[_T_co], Protocol[_T_co]): @abstractmethod def next(self) -> _T_co: ... def __iter__(self) -> Iterator[_T_co]: ... class Generator(Iterator[_T_co], Generic[_T_co, _T_contra, _V_co]): @abstractmethod def next(self) -> _T_co: ... @abstractmethod def send(self, __value: _T_contra) -> _T_co: ... @overload @abstractmethod def throw( self, __typ: Type[BaseException], __val: Union[BaseException, object] = ..., __tb: Optional[TracebackType] = ... ) -> _T_co: ... @overload @abstractmethod def throw(self, __typ: BaseException, __val: None = ..., __tb: Optional[TracebackType] = ...) -> _T_co: ... @abstractmethod def close(self) -> None: ... @property def gi_code(self) -> CodeType: ... @property def gi_frame(self) -> FrameType: ... @property def gi_running(self) -> bool: ... @runtime_checkable class Container(Protocol[_T_co]): @abstractmethod def __contains__(self, x: object) -> bool: ... class Sequence(Iterable[_T_co], Container[_T_co], Reversible[_T_co], Generic[_T_co]): @overload @abstractmethod def __getitem__(self, i: int) -> _T_co: ... @overload @abstractmethod def __getitem__(self, s: slice) -> Sequence[_T_co]: ... # Mixin methods def index(self, x: Any) -> int: ... def count(self, x: Any) -> int: ... def __contains__(self, x: object) -> bool: ... def __iter__(self) -> Iterator[_T_co]: ... def __reversed__(self) -> Iterator[_T_co]: ... # Implement Sized (but don't have it as a base class). @abstractmethod def __len__(self) -> int: ... class MutableSequence(Sequence[_T], Generic[_T]): @abstractmethod def insert(self, index: int, object: _T) -> None: ... @overload @abstractmethod def __getitem__(self, i: int) -> _T: ... @overload @abstractmethod def __getitem__(self, s: slice) -> MutableSequence[_T]: ... @overload @abstractmethod def __setitem__(self, i: int, o: _T) -> None: ... @overload @abstractmethod def __setitem__(self, s: slice, o: Iterable[_T]) -> None: ... @overload @abstractmethod def __delitem__(self, i: int) -> None: ... @overload @abstractmethod def __delitem__(self, i: slice) -> None: ... # Mixin methods def append(self, object: _T) -> None: ... def extend(self, iterable: Iterable[_T]) -> None: ... def reverse(self) -> None: ... def pop(self, index: int = ...) -> _T: ... def remove(self, object: _T) -> None: ... def __iadd__(self, x: Iterable[_T]) -> MutableSequence[_T]: ... class AbstractSet(Iterable[_T_co], Container[_T_co], Generic[_T_co]): @abstractmethod def __contains__(self, x: object) -> bool: ... # Mixin methods def __le__(self, s: AbstractSet[Any]) -> bool: ... def __lt__(self, s: AbstractSet[Any]) -> bool: ... def __gt__(self, s: AbstractSet[Any]) -> bool: ... def __ge__(self, s: AbstractSet[Any]) -> bool: ... def __and__(self, s: AbstractSet[Any]) -> AbstractSet[_T_co]: ... def __or__(self, s: AbstractSet[_T]) -> AbstractSet[Union[_T_co, _T]]: ... def __sub__(self, s: AbstractSet[Any]) -> AbstractSet[_T_co]: ... def __xor__(self, s: AbstractSet[_T]) -> AbstractSet[Union[_T_co, _T]]: ... # TODO: argument can be any container? def isdisjoint(self, s: AbstractSet[Any]) -> bool: ... # Implement Sized (but don't have it as a base class). @abstractmethod def __len__(self) -> int: ... class MutableSet(AbstractSet[_T], Generic[_T]): @abstractmethod def add(self, x: _T) -> None: ... @abstractmethod def discard(self, x: _T) -> None: ... # Mixin methods def clear(self) -> None: ... def pop(self) -> _T: ... def remove(self, element: _T) -> None: ... def __ior__(self, s: AbstractSet[_S]) -> MutableSet[Union[_T, _S]]: ... def __iand__(self, s: AbstractSet[Any]) -> MutableSet[_T]: ... def __ixor__(self, s: AbstractSet[_S]) -> MutableSet[Union[_T, _S]]: ... def __isub__(self, s: AbstractSet[Any]) -> MutableSet[_T]: ... class MappingView(object): def __len__(self) -> int: ... class ItemsView(MappingView, AbstractSet[Tuple[_KT_co, _VT_co]], Generic[_KT_co, _VT_co]): def __init__(self, mapping: Mapping[_KT_co, _VT_co]) -> None: ... def __contains__(self, o: object) -> bool: ... def __iter__(self) -> Iterator[Tuple[_KT_co, _VT_co]]: ... class KeysView(MappingView, AbstractSet[_KT_co], Generic[_KT_co]): def __init__(self, mapping: Mapping[_KT_co, _VT_co]) -> None: ... def __contains__(self, o: object) -> bool: ... def __iter__(self) -> Iterator[_KT_co]: ... class ValuesView(MappingView, Iterable[_VT_co], Generic[_VT_co]): def __init__(self, mapping: Mapping[_KT_co, _VT_co]) -> None: ... def __contains__(self, o: object) -> bool: ... def __iter__(self) -> Iterator[_VT_co]: ... @runtime_checkable class ContextManager(Protocol[_T_co]): def __enter__(self) -> _T_co: ... def __exit__( self, __exc_type: Optional[Type[BaseException]], __exc_value: Optional[BaseException], __traceback: Optional[TracebackType], ) -> Optional[bool]: ... class Mapping(Iterable[_KT], Container[_KT], Generic[_KT, _VT_co]): # TODO: We wish the key type could also be covariant, but that doesn't work, # see discussion in https: //github.com/python/typing/pull/273. @abstractmethod def __getitem__(self, k: _KT) -> _VT_co: ... # Mixin methods @overload def get(self, k: _KT) -> Optional[_VT_co]: ... @overload def get(self, k: _KT, default: Union[_VT_co, _T]) -> Union[_VT_co, _T]: ... def keys(self) -> list[_KT]: ... def values(self) -> list[_VT_co]: ... def items(self) -> list[Tuple[_KT, _VT_co]]: ... def iterkeys(self) -> Iterator[_KT]: ... def itervalues(self) -> Iterator[_VT_co]: ... def iteritems(self) -> Iterator[Tuple[_KT, _VT_co]]: ... def __contains__(self, o: object) -> bool: ... # Implement Sized (but don't have it as a base class). @abstractmethod def __len__(self) -> int: ... class MutableMapping(Mapping[_KT, _VT], Generic[_KT, _VT]): @abstractmethod def __setitem__(self, k: _KT, v: _VT) -> None: ... @abstractmethod def __delitem__(self, v: _KT) -> None: ... def clear(self) -> None: ... @overload def pop(self, k: _KT) -> _VT: ... @overload def pop(self, k: _KT, default: Union[_VT, _T] = ...) -> Union[_VT, _T]: ... def popitem(self) -> Tuple[_KT, _VT]: ... def setdefault(self, k: _KT, default: _VT = ...) -> _VT: ... @overload def update(self, __m: Mapping[_KT, _VT], **kwargs: _VT) -> None: ... @overload def update(self, __m: Iterable[Tuple[_KT, _VT]], **kwargs: _VT) -> None: ... @overload def update(self, **kwargs: _VT) -> None: ... Text = unicode TYPE_CHECKING = True class IO(Iterator[AnyStr], Generic[AnyStr]): # TODO detach # TODO use abstract properties @property def mode(self) -> str: ... @property def name(self) -> str: ... @abstractmethod def close(self) -> None: ... @property def closed(self) -> bool: ... @abstractmethod def fileno(self) -> int: ... @abstractmethod def flush(self) -> None: ... @abstractmethod def isatty(self) -> bool: ... # TODO what if n is None? @abstractmethod def read(self, n: int = ...) -> AnyStr: ... @abstractmethod def readable(self) -> bool: ... @abstractmethod def readline(self, limit: int = ...) -> AnyStr: ... @abstractmethod def readlines(self, hint: int = ...) -> list[AnyStr]: ... @abstractmethod def seek(self, offset: int, whence: int = ...) -> int: ... @abstractmethod def seekable(self) -> bool: ... @abstractmethod def tell(self) -> int: ... @abstractmethod def truncate(self, size: Optional[int] = ...) -> int: ... @abstractmethod def writable(self) -> bool: ... # TODO buffer objects @abstractmethod def write(self, s: AnyStr) -> int: ... @abstractmethod def writelines(self, lines: Iterable[AnyStr]) -> None: ... @abstractmethod def next(self) -> AnyStr: ... @abstractmethod def __iter__(self) -> Iterator[AnyStr]: ... @abstractmethod def __enter__(self) -> IO[AnyStr]: ... @abstractmethod def __exit__( self, t: Optional[Type[BaseException]], value: Optional[BaseException], traceback: Optional[TracebackType] ) -> Optional[bool]: ... class BinaryIO(IO[str]): # TODO readinto # TODO read1? # TODO peek? @abstractmethod def __enter__(self) -> BinaryIO: ... class TextIO(IO[unicode]): # TODO use abstractproperty @property def buffer(self) -> BinaryIO: ... @property def encoding(self) -> str: ... @property def errors(self) -> Optional[str]: ... @property def line_buffering(self) -> bool: ... @property def newlines(self) -> Any: ... # None, str or tuple @abstractmethod def __enter__(self) -> TextIO: ... class ByteString(Sequence[int], metaclass=ABCMeta): ... class Match(Generic[AnyStr]): pos: int endpos: int lastindex: Optional[int] string: AnyStr # The regular expression object whose match() or search() method produced # this match instance. This should not be Pattern[AnyStr] because the type # of the pattern is independent of the type of the matched string in # Python 2. Strictly speaking Match should be generic over AnyStr twice: # once for the type of the pattern and once for the type of the matched # string. re: Pattern[Any] # Can be None if there are no groups or if the last group was unnamed; # otherwise matches the type of the pattern. lastgroup: Optional[Any] def expand(self, template: Union[str, Text]) -> Any: ... @overload def group(self, group1: int = ...) -> AnyStr: ... @overload def group(self, group1: str) -> AnyStr: ... @overload def group(self, group1: int, group2: int, *groups: int) -> Tuple[AnyStr, ...]: ... @overload def group(self, group1: str, group2: str, *groups: str) -> Tuple[AnyStr, ...]: ... def groups(self, default: AnyStr = ...) -> Tuple[AnyStr, ...]: ... def groupdict(self, default: AnyStr = ...) -> Dict[str, AnyStr]: ... def start(self, __group: Union[int, str] = ...) -> int: ... def end(self, __group: Union[int, str] = ...) -> int: ... def span(self, __group: Union[int, str] = ...) -> Tuple[int, int]: ... @property def regs(self) -> Tuple[Tuple[int, int], ...]: ... # undocumented # We need a second TypeVar with the same definition as AnyStr, because # Pattern is generic over AnyStr (determining the type of its .pattern # attribute), but at the same time its methods take either bytes or # Text and return the same type, regardless of the type of the pattern. _AnyStr2 = TypeVar("_AnyStr2", bytes, Text) class Pattern(Generic[AnyStr]): flags: int groupindex: Dict[AnyStr, int] groups: int pattern: AnyStr def search(self, string: _AnyStr2, pos: int = ..., endpos: int = ...) -> Optional[Match[_AnyStr2]]: ... def match(self, string: _AnyStr2, pos: int = ..., endpos: int = ...) -> Optional[Match[_AnyStr2]]: ... def split(self, string: _AnyStr2, maxsplit: int = ...) -> List[_AnyStr2]: ... # Returns either a list of _AnyStr2 or a list of tuples, depending on # whether there are groups in the pattern. def findall(self, string: Union[bytes, Text], pos: int = ..., endpos: int = ...) -> List[Any]: ... def finditer(self, string: _AnyStr2, pos: int = ..., endpos: int = ...) -> Iterator[Match[_AnyStr2]]: ... @overload def sub(self, repl: _AnyStr2, string: _AnyStr2, count: int = ...) -> _AnyStr2: ... @overload def sub(self, repl: Callable[[Match[_AnyStr2]], _AnyStr2], string: _AnyStr2, count: int = ...) -> _AnyStr2: ... @overload def subn(self, repl: _AnyStr2, string: _AnyStr2, count: int = ...) -> Tuple[_AnyStr2, int]: ... @overload def subn(self, repl: Callable[[Match[_AnyStr2]], _AnyStr2], string: _AnyStr2, count: int = ...) -> Tuple[_AnyStr2, int]: ... # Functions def get_type_hints( obj: Callable[..., Any], globalns: Optional[Dict[Text, Any]] = ..., localns: Optional[Dict[Text, Any]] = ... ) -> None: ... @overload def cast(tp: Type[_T], obj: Any) -> _T: ... @overload def cast(tp: str, obj: Any) -> Any: ... # Type constructors # NamedTuple is special-cased in the type checker class NamedTuple(Tuple[Any, ...]): _fields: Tuple[str, ...] def __init__(self, typename: Text, fields: Iterable[Tuple[Text, Any]] = ..., **kwargs: Any) -> None: ... @classmethod def _make(cls: Type[_T], iterable: Iterable[Any]) -> _T: ... def _asdict(self) -> Dict[str, Any]: ... def _replace(self: _T, **kwargs: Any) -> _T: ... # Internal mypy fallback type for all typed dicts (does not exist at runtime) class _TypedDict(Mapping[str, object], metaclass=ABCMeta): def copy(self: _T) -> _T: ... # Using NoReturn so that only calls using mypy plugin hook that specialize the signature # can go through. def setdefault(self, k: NoReturn, default: object) -> object: ... # Mypy plugin hook for 'pop' expects that 'default' has a type variable type. def pop(self, k: NoReturn, default: _T = ...) -> object: ... def update(self: _T, __m: _T) -> None: ... def has_key(self, k: str) -> bool: ... def viewitems(self) -> ItemsView[str, object]: ... def viewkeys(self) -> KeysView[str]: ... def viewvalues(self) -> ValuesView[object]: ... def __delitem__(self, k: NoReturn) -> None: ... def NewType(name: str, tp: Type[_T]) -> Type[_T]: ... # This itself is only available during type checking def type_check_only(func_or_cls: _C) -> _C: ...