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d2469c0e89
Fixes #1850. The fix was already applied to Python 2, but the typevar-based solution there leads to "cannot infer value of type variable" in mypy. I used the following script to check: ```python from itertools import product reveal_type(product([1])) reveal_type(product([1], ['x'], [False], [3.0], [(1,)], [('x',)], [{1}], [{1: 2}], repeat=5)) ```
107 lines
3.9 KiB
Python
107 lines
3.9 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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_N = TypeVar('_N', int, float)
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def count(start: _N = ...,
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step: _N = ...) -> Iterator[_N]: ... # 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: Optional[int]) -> Iterator[_T]: ...
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@overload
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def islice(iterable: Iterable[_T], start: Optional[int], stop: Optional[int],
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step: Optional[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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_T1 = TypeVar('_T1')
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_T2 = TypeVar('_T2')
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_T3 = TypeVar('_T3')
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_T4 = TypeVar('_T4')
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_T5 = TypeVar('_T5')
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_T6 = TypeVar('_T6')
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@overload
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def product(iter1: Iterable[_T1]) -> Iterator[Tuple[_T1]]: ...
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@overload
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def product(iter1: Iterable[_T1],
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iter2: Iterable[_T2]) -> Iterator[Tuple[_T1, _T2]]: ...
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@overload
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def product(iter1: Iterable[_T1],
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iter2: Iterable[_T2],
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iter3: Iterable[_T3]) -> Iterator[Tuple[_T1, _T2, _T3]]: ...
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@overload
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def product(iter1: Iterable[_T1],
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iter2: Iterable[_T2],
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iter3: Iterable[_T3],
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iter4: Iterable[_T4]) -> Iterator[Tuple[_T1, _T2, _T3, _T4]]: ...
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@overload
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def product(iter1: Iterable[_T1],
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iter2: Iterable[_T2],
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iter3: Iterable[_T3],
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iter4: Iterable[_T4],
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iter5: Iterable[_T5]) -> Iterator[Tuple[_T1, _T2, _T3, _T4, _T5]]: ...
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@overload
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def product(iter1: Iterable[_T1],
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iter2: Iterable[_T2],
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iter3: Iterable[_T3],
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iter4: Iterable[_T4],
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iter5: Iterable[_T5],
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iter6: Iterable[_T6]) -> Iterator[Tuple[_T1, _T2, _T3, _T4, _T5, _T6]]: ...
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@overload
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def product(iter1: Iterable[Any],
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iter2: Iterable[Any],
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iter3: Iterable[Any],
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iter4: Iterable[Any],
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iter5: Iterable[Any],
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iter6: Iterable[Any],
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iter7: Iterable[Any],
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*iterables: Iterable[Any]) -> Iterator[Tuple[Any, ...]]: ...
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@overload
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def product(*iterables: Iterable[Any], repeat: int) -> Iterator[Tuple[Any, ...]]: ...
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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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