init

.venv/lib/python3.8/site-packages/more_itertools/recipes.pyi

@@ -0,0 +1,112 @@
+"""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: Union[Type[BaseException], Tuple[Type[BaseException], ...]],
+    first: None = ...,
+) -> Iterator[_T]: ...
+@overload
+def iter_except(
+    func: Callable[[], _T],
+    exception: Union[Type[BaseException], Tuple[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]: ...
+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, ...]]: ...