Edit: recipes.pyi
"""Stubs for more_itertools.recipes""" from __future__ import annotations from typing import ( Any, Callable, Iterable, Iterator, overload, Sequence, Type, TypeVar, ) # 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: int | None = ...) -> None: ... @overload def nth(iterable: Iterable[_T], n: int) -> _T | None: ... @overload def nth(iterable: Iterable[_T], n: int, default: _U) -> _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[_T | None]: ... def padnone(iterable: Iterable[_T]) -> Iterator[_T | None]: ... 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: int | None = ..., *args: Any ) -> Iterator[_U]: ... def pairwise(iterable: Iterable[_T]) -> Iterator[tuple[_T, _T]]: ... def grouper( iterable: Iterable[_T], n: int, incomplete: str = ..., fillvalue: _U = ..., ) -> Iterator[tuple[_T | _U, ...]]: ... def roundrobin(*iterables: Iterable[_T]) -> Iterator[_T]: ... def partition( pred: Callable[[_T], object] | None, iterable: Iterable[_T] ) -> tuple[Iterator[_T], Iterator[_T]]: ... def powerset(iterable: Iterable[_T]) -> Iterator[tuple[_T, ...]]: ... def unique_everseen( iterable: Iterable[_T], key: Callable[[_T], _U] | None = ... ) -> Iterator[_T]: ... def unique_justseen( iterable: Iterable[_T], key: Callable[[_T], object] | None = ... ) -> Iterator[_T]: ... @overload def iter_except( func: Callable[[], _T], exception: Type[BaseException] | tuple[Type[BaseException], ...], first: None = ..., ) -> Iterator[_T]: ... @overload def iter_except( func: Callable[[], _T], exception: Type[BaseException] | tuple[Type[BaseException], ...], first: Callable[[], _U], ) -> Iterator[_T | _U]: ... @overload def first_true( iterable: Iterable[_T], *, pred: Callable[[_T], object] | None = ... ) -> _T | None: ... @overload def first_true( iterable: Iterable[_T], default: _U, pred: Callable[[_T], object] | None = ..., ) -> _T | _U: ... def random_product( *args: Iterable[_T], repeat: int = ... ) -> tuple[_T, ...]: ... def random_permutation( iterable: Iterable[_T], r: int | None = ... ) -> 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[_T | _U]: ... def convolve(signal: Iterable[_T], kernel: Iterable[_T]) -> Iterator[_T]: ... def before_and_after( predicate: Callable[[_T], bool], it: Iterable[_T] ) -> tuple[Iterator[_T], Iterator[_T]]: ... def triplewise(iterable: Iterable[_T]) -> Iterator[tuple[_T, _T, _T]]: ... def sliding_window( iterable: Iterable[_T], n: int ) -> Iterator[tuple[_T, ...]]: ... def subslices(iterable: Iterable[_T]) -> Iterator[list[_T]]: ... def polynomial_from_roots(roots: Sequence[int]) -> list[int]: ... def iter_index( iterable: Iterable[object], value: Any, start: int | None = ..., ) -> Iterator[int]: ... def sieve(n: int) -> Iterator[int]: ... def batched( iterable: Iterable[_T], n: int, ) -> Iterator[list[_T]]: ... def transpose( it: Iterable[Iterable[_T]], ) -> tuple[Iterator[_T], ...]: ... def matmul(m1: Sequence[_T], m2: Sequence[_T]) -> Iterator[list[_T]]: ... def factor(n: int) -> Iterator[int]: ...
Cancel