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34 lines
1.3 KiB
Python
34 lines
1.3 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
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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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def reduce(function: Callable[[_T], _T],
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sequence: Iterator[_T], initial: Optional[_T] = ...) -> _T: ...
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# TODO implement as class; more precise typing
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# TODO cache_info and __wrapped__ attributes
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def lru_cache(maxsize: Optional[int] = ...) -> Callable[[Any], Any]: ...
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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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