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From Samuel Freilich: In Python 2, the predicate parameter in itertools.ifilter and itertools.ifilterfalse can be None, indicating that true or false values should be retained (functionally equivalent to passing "bool" as the predicate). In Python 3, filter and itertools.filterfalse have the same behavior.
62 lines
2.4 KiB
Python
62 lines
2.4 KiB
Python
# Stubs for itertools
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# Based on http://docs.python.org/3.2/library/itertools.html
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from typing import (Iterator, TypeVar, Iterable, overload, Any, Callable, Tuple,
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Generic, Optional)
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_T = TypeVar('_T')
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_S = TypeVar('_S')
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def count(start: int = ...,
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step: int = ...) -> Iterator[int]: ... # more general types?
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def cycle(iterable: Iterable[_T]) -> Iterator[_T]: ...
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@overload
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def repeat(object: _T) -> Iterator[_T]: ...
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@overload
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def repeat(object: _T, times: int) -> Iterator[_T]: ...
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def accumulate(iterable: Iterable[_T], func: Callable[[_T, _T], _T] = ...) -> Iterator[_T]: ...
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class chain(Iterator[_T], Generic[_T]):
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def __init__(self, *iterables: Iterable[_T]) -> None: ...
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def __next__(self) -> _T: ...
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def __iter__(self) -> Iterator[_T]: ...
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@staticmethod
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def from_iterable(iterable: Iterable[Iterable[_S]]) -> Iterator[_S]: ...
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def compress(data: Iterable[_T], selectors: Iterable[Any]) -> Iterator[_T]: ...
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def dropwhile(predicate: Callable[[_T], Any],
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iterable: Iterable[_T]) -> Iterator[_T]: ...
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def filterfalse(predicate: Optional[Callable[[_T], Any]],
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iterable: Iterable[_T]) -> Iterator[_T]: ...
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@overload
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def groupby(iterable: Iterable[_T]) -> Iterator[Tuple[_T, Iterator[_T]]]: ...
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@overload
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def groupby(iterable: Iterable[_T],
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key: Callable[[_T], _S]) -> Iterator[Tuple[_S, Iterator[_T]]]: ...
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@overload
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def islice(iterable: Iterable[_T], stop: int) -> Iterator[_T]: ...
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@overload
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def islice(iterable: Iterable[_T], start: int, stop: Optional[int],
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step: int = ...) -> Iterator[_T]: ...
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def starmap(func: Callable[..., _S], iterable: Iterable[Iterable[Any]]) -> Iterator[_S]: ...
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def takewhile(predicate: Callable[[_T], Any],
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iterable: Iterable[_T]) -> Iterator[_T]: ...
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def tee(iterable: Iterable[_T], n: int = ...) -> Tuple[Iterator[_T], ...]: ...
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def zip_longest(*p: Iterable[Any],
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fillvalue: Any = ...) -> Iterator[Any]: ...
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def product(*p: Iterable[_T], repeat: int = ...) -> Iterator[Tuple[_T, ...]]: ...
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def permutations(iterable: Iterable[_T],
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r: Optional[int] = ...) -> Iterator[Tuple[_T, ...]]: ...
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def combinations(iterable: Iterable[_T],
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r: int) -> Iterable[Tuple[_T, ...]]: ...
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def combinations_with_replacement(iterable: Iterable[_T],
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r: int) -> Iterable[Tuple[_T, ...]]: ...
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