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recipes.pyi
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"""Stubs for more_itertools.recipes""" from typing import ( Any, Callable, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union, ) from typing_extensions import overload, Type # Type and type variable definitions _T = TypeVar('_T') _U = TypeVar('_U') def take(n: int, iterable: Iterable[_T]) -> List[_T]: ... def tabulate( function: Callable[[int], _T], start: int = ... ) -> Iterator[_T]: ... def tail(n: int, iterable: Iterable[_T]) -> Iterator[_T]: ... def consume(iterator: Iterable[object], n: Optional[int] = ...) -> None: ... @overload def nth(iterable: Iterable[_T], n: int) -> Optional[_T]: ... @overload def nth(iterable: Iterable[_T], n: int, default: _U) -> Union[_T, _U]: ... def all_equal(iterable: Iterable[object]) -> bool: ... def quantify( iterable: Iterable[_T], pred: Callable[[_T], bool] = ... ) -> int: ... def pad_none(iterable: Iterable[_T]) -> Iterator[Optional[_T]]: ... def padnone(iterable: Iterable[_T]) -> Iterator[Optional[_T]]: ... def ncycles(iterable: Iterable[_T], n: int) -> Iterator[_T]: ... def dotproduct(vec1: Iterable[object], vec2: Iterable[object]) -> object: ... def flatten(listOfLists: Iterable[Iterable[_T]]) -> Iterator[_T]: ... def repeatfunc( func: Callable[..., _U], times: Optional[int] = ..., *args: Any ) -> Iterator[_U]: ... def pairwise(iterable: Iterable[_T]) -> Iterator[Tuple[_T, _T]]: ... @overload def grouper( iterable: Iterable[_T], n: int ) -> Iterator[Tuple[Optional[_T], ...]]: ... @overload def grouper( iterable: Iterable[_T], n: int, fillvalue: _U ) -> Iterator[Tuple[Union[_T, _U], ...]]: ... @overload def grouper( # Deprecated interface iterable: int, n: Iterable[_T] ) -> Iterator[Tuple[Optional[_T], ...]]: ... @overload def grouper( # Deprecated interface iterable: int, n: Iterable[_T], fillvalue: _U ) -> Iterator[Tuple[Union[_T, _U], ...]]: ... def roundrobin(*iterables: Iterable[_T]) -> Iterator[_T]: ... def partition( pred: Optional[Callable[[_T], object]], iterable: Iterable[_T] ) -> Tuple[Iterator[_T], Iterator[_T]]: ... def powerset(iterable: Iterable[_T]) -> Iterator[Tuple[_T, ...]]: ... def unique_everseen( iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = ... ) -> Iterator[_T]: ... def unique_justseen( iterable: Iterable[_T], key: Optional[Callable[[_T], object]] = ... ) -> Iterator[_T]: ... @overload def iter_except( func: Callable[[], _T], exception: Type[BaseException], first: None = ... ) -> Iterator[_T]: ... @overload def iter_except( func: Callable[[], _T], exception: Type[BaseException], first: Callable[[], _U], ) -> Iterator[Union[_T, _U]]: ... @overload def first_true( iterable: Iterable[_T], *, pred: Optional[Callable[[_T], object]] = ... ) -> Optional[_T]: ... @overload def first_true( iterable: Iterable[_T], default: _U, pred: Optional[Callable[[_T], object]] = ..., ) -> Union[_T, _U]: ... def random_product( *args: Iterable[_T], repeat: int = ... ) -> Tuple[_T, ...]: ... def random_permutation( iterable: Iterable[_T], r: Optional[int] = ... ) -> Tuple[_T, ...]: ... def random_combination(iterable: Iterable[_T], r: int) -> Tuple[_T, ...]: ... def random_combination_with_replacement( iterable: Iterable[_T], r: int ) -> Tuple[_T, ...]: ... def nth_combination( iterable: Iterable[_T], r: int, index: int ) -> Tuple[_T, ...]: ... def prepend(value: _T, iterator: Iterable[_U]) -> Iterator[Union[_T, _U]]: ... def convolve(signal: Iterable[_T], kernel: Iterable[_T]) -> Iterator[_T]: ...