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51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
# Stubs for functools (Python 3)
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# NOTE: These are incomplete!
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from abc import ABCMeta, abstractmethod
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from typing import Any, Callable, Generic, Dict, Iterator, Optional, Sequence, Tuple, TypeVar, NamedTuple, overload
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from collections import namedtuple
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_AnyCallable = Callable[..., Any]
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_T = TypeVar("_T")
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_S = TypeVar("_S")
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@overload
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def reduce(function: Callable[[_T, _S], _T],
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sequence: Iterable[_S], initial: _T) -> _T: ...
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@overload
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def reduce(function: Callable[[_T, _T], _T],
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sequence: Iterable[_T]) -> _T: ...
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class CacheInfo(NamedTuple('CacheInfo', [
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('hits', int), ('misses', int), ('maxsize', int), ('currsize', int)])):
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pass
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class _lru_cache_wrapper(Generic[_T]):
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__wrapped__ = ... # type: Callable[..., _T]
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def __call__(self, *args: Any, **kwargs: Any) -> _T: ...
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def cache_info(self) -> CacheInfo: ...
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class lru_cache():
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def __init__(self, maxsize: int = ..., typed: bool = ...) -> None:
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pass
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def __call__(self, f: Callable[..., _T]) -> _lru_cache_wrapper[_T]: ...
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WRAPPER_ASSIGNMENTS = ... # type: Sequence[str]
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WRAPPER_UPDATES = ... # type: Sequence[str]
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def update_wrapper(wrapper: _AnyCallable, wrapped: _AnyCallable, assigned: Sequence[str] = ...,
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updated: Sequence[str] = ...) -> None: ...
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def wraps(wrapped: _AnyCallable, assigned: Sequence[str] = ..., updated: Sequence[str] = ...) -> Callable[[_AnyCallable], _AnyCallable]: ...
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def total_ordering(cls: type) -> type: ...
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def cmp_to_key(mycmp: Callable[[_T, _T], bool]) -> Callable[[_T], Any]: ...
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class partial(Generic[_T]):
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func = ... # Callable[..., _T]
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args = ... # type: Tuple[Any, ...]
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keywords = ... # type: Dict[str, Any]
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def __init__(self, func: Callable[..., _T], *args: Any, **kwargs: Any) -> None: ...
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def __call__(self, *args: Any, **kwargs: Any) -> _T: ...
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