init

.venv/lib/python3.8/site-packages/more_itertools/__init__.py

@@ -0,0 +1,4 @@
+from .more import *  # noqa
+from .recipes import *  # noqa
+
+__version__ = '8.12.0'

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

@@ -0,0 +1,2 @@
+from .more import *
+from .recipes import *

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

@@ -0,0 +1,664 @@
+"""Stubs for more_itertools.more"""
+
+from typing import (
+    Any,
+    Callable,
+    Container,
+    Dict,
+    Generic,
+    Hashable,
+    Iterable,
+    Iterator,
+    List,
+    Optional,
+    Reversible,
+    Sequence,
+    Sized,
+    Tuple,
+    Union,
+    TypeVar,
+    type_check_only,
+)
+from types import TracebackType
+from typing_extensions import ContextManager, Protocol, Type, overload
+
+# Type and type variable definitions
+_T = TypeVar('_T')
+_T1 = TypeVar('_T1')
+_T2 = TypeVar('_T2')
+_U = TypeVar('_U')
+_V = TypeVar('_V')
+_W = TypeVar('_W')
+_T_co = TypeVar('_T_co', covariant=True)
+_GenFn = TypeVar('_GenFn', bound=Callable[..., Iterator[object]])
+_Raisable = Union[BaseException, 'Type[BaseException]']
+
+@type_check_only
+class _SizedIterable(Protocol[_T_co], Sized, Iterable[_T_co]): ...
+
+@type_check_only
+class _SizedReversible(Protocol[_T_co], Sized, Reversible[_T_co]): ...
+
+def chunked(
+    iterable: Iterable[_T], n: Optional[int], strict: bool = ...
+) -> Iterator[List[_T]]: ...
+@overload
+def first(iterable: Iterable[_T]) -> _T: ...
+@overload
+def first(iterable: Iterable[_T], default: _U) -> Union[_T, _U]: ...
+@overload
+def last(iterable: Iterable[_T]) -> _T: ...
+@overload
+def last(iterable: Iterable[_T], default: _U) -> Union[_T, _U]: ...
+@overload
+def nth_or_last(iterable: Iterable[_T], n: int) -> _T: ...
+@overload
+def nth_or_last(
+    iterable: Iterable[_T], n: int, default: _U
+) -> Union[_T, _U]: ...
+
+class peekable(Generic[_T], Iterator[_T]):
+    def __init__(self, iterable: Iterable[_T]) -> None: ...
+    def __iter__(self) -> peekable[_T]: ...
+    def __bool__(self) -> bool: ...
+    @overload
+    def peek(self) -> _T: ...
+    @overload
+    def peek(self, default: _U) -> Union[_T, _U]: ...
+    def prepend(self, *items: _T) -> None: ...
+    def __next__(self) -> _T: ...
+    @overload
+    def __getitem__(self, index: int) -> _T: ...
+    @overload
+    def __getitem__(self, index: slice) -> List[_T]: ...
+
+def collate(*iterables: Iterable[_T], **kwargs: Any) -> Iterable[_T]: ...
+def consumer(func: _GenFn) -> _GenFn: ...
+def ilen(iterable: Iterable[object]) -> int: ...
+def iterate(func: Callable[[_T], _T], start: _T) -> Iterator[_T]: ...
+def with_iter(
+    context_manager: ContextManager[Iterable[_T]],
+) -> Iterator[_T]: ...
+def one(
+    iterable: Iterable[_T],
+    too_short: Optional[_Raisable] = ...,
+    too_long: Optional[_Raisable] = ...,
+) -> _T: ...
+def raise_(exception: _Raisable, *args: Any) -> None: ...
+def strictly_n(
+    iterable: Iterable[_T],
+    n: int,
+    too_short: Optional[_GenFn] = ...,
+    too_long: Optional[_GenFn] = ...,
+) -> List[_T]: ...
+def distinct_permutations(
+    iterable: Iterable[_T], r: Optional[int] = ...
+) -> Iterator[Tuple[_T, ...]]: ...
+def intersperse(
+    e: _U, iterable: Iterable[_T], n: int = ...
+) -> Iterator[Union[_T, _U]]: ...
+def unique_to_each(*iterables: Iterable[_T]) -> List[List[_T]]: ...
+@overload
+def windowed(
+    seq: Iterable[_T], n: int, *, step: int = ...
+) -> Iterator[Tuple[Optional[_T], ...]]: ...
+@overload
+def windowed(
+    seq: Iterable[_T], n: int, fillvalue: _U, step: int = ...
+) -> Iterator[Tuple[Union[_T, _U], ...]]: ...
+def substrings(iterable: Iterable[_T]) -> Iterator[Tuple[_T, ...]]: ...
+def substrings_indexes(
+    seq: Sequence[_T], reverse: bool = ...
+) -> Iterator[Tuple[Sequence[_T], int, int]]: ...
+
+class bucket(Generic[_T, _U], Container[_U]):
+    def __init__(
+        self,
+        iterable: Iterable[_T],
+        key: Callable[[_T], _U],
+        validator: Optional[Callable[[object], object]] = ...,
+    ) -> None: ...
+    def __contains__(self, value: object) -> bool: ...
+    def __iter__(self) -> Iterator[_U]: ...
+    def __getitem__(self, value: object) -> Iterator[_T]: ...
+
+def spy(
+    iterable: Iterable[_T], n: int = ...
+) -> Tuple[List[_T], Iterator[_T]]: ...
+def interleave(*iterables: Iterable[_T]) -> Iterator[_T]: ...
+def interleave_longest(*iterables: Iterable[_T]) -> Iterator[_T]: ...
+def interleave_evenly(
+    iterables: List[Iterable[_T]], lengths: Optional[List[int]] = ...
+) -> Iterator[_T]: ...
+def collapse(
+    iterable: Iterable[Any],
+    base_type: Optional[type] = ...,
+    levels: Optional[int] = ...,
+) -> Iterator[Any]: ...
+@overload
+def side_effect(
+    func: Callable[[_T], object],
+    iterable: Iterable[_T],
+    chunk_size: None = ...,
+    before: Optional[Callable[[], object]] = ...,
+    after: Optional[Callable[[], object]] = ...,
+) -> Iterator[_T]: ...
+@overload
+def side_effect(
+    func: Callable[[List[_T]], object],
+    iterable: Iterable[_T],
+    chunk_size: int,
+    before: Optional[Callable[[], object]] = ...,
+    after: Optional[Callable[[], object]] = ...,
+) -> Iterator[_T]: ...
+def sliced(
+    seq: Sequence[_T], n: int, strict: bool = ...
+) -> Iterator[Sequence[_T]]: ...
+def split_at(
+    iterable: Iterable[_T],
+    pred: Callable[[_T], object],
+    maxsplit: int = ...,
+    keep_separator: bool = ...,
+) -> Iterator[List[_T]]: ...
+def split_before(
+    iterable: Iterable[_T], pred: Callable[[_T], object], maxsplit: int = ...
+) -> Iterator[List[_T]]: ...
+def split_after(
+    iterable: Iterable[_T], pred: Callable[[_T], object], maxsplit: int = ...
+) -> Iterator[List[_T]]: ...
+def split_when(
+    iterable: Iterable[_T],
+    pred: Callable[[_T, _T], object],
+    maxsplit: int = ...,
+) -> Iterator[List[_T]]: ...
+def split_into(
+    iterable: Iterable[_T], sizes: Iterable[Optional[int]]
+) -> Iterator[List[_T]]: ...
+@overload
+def padded(
+    iterable: Iterable[_T],
+    *,
+    n: Optional[int] = ...,
+    next_multiple: bool = ...
+) -> Iterator[Optional[_T]]: ...
+@overload
+def padded(
+    iterable: Iterable[_T],
+    fillvalue: _U,
+    n: Optional[int] = ...,
+    next_multiple: bool = ...,
+) -> Iterator[Union[_T, _U]]: ...
+@overload
+def repeat_last(iterable: Iterable[_T]) -> Iterator[_T]: ...
+@overload
+def repeat_last(
+    iterable: Iterable[_T], default: _U
+) -> Iterator[Union[_T, _U]]: ...
+def distribute(n: int, iterable: Iterable[_T]) -> List[Iterator[_T]]: ...
+@overload
+def stagger(
+    iterable: Iterable[_T],
+    offsets: _SizedIterable[int] = ...,
+    longest: bool = ...,
+) -> Iterator[Tuple[Optional[_T], ...]]: ...
+@overload
+def stagger(
+    iterable: Iterable[_T],
+    offsets: _SizedIterable[int] = ...,
+    longest: bool = ...,
+    fillvalue: _U = ...,
+) -> Iterator[Tuple[Union[_T, _U], ...]]: ...
+
+class UnequalIterablesError(ValueError):
+    def __init__(
+        self, details: Optional[Tuple[int, int, int]] = ...
+    ) -> None: ...
+
+@overload
+def zip_equal(__iter1: Iterable[_T1]) -> Iterator[Tuple[_T1]]: ...
+@overload
+def zip_equal(
+    __iter1: Iterable[_T1], __iter2: Iterable[_T2]
+) -> Iterator[Tuple[_T1, _T2]]: ...
+@overload
+def zip_equal(
+    __iter1: Iterable[_T],
+    __iter2: Iterable[_T],
+    __iter3: Iterable[_T],
+    *iterables: Iterable[_T]
+) -> Iterator[Tuple[_T, ...]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T1],
+    *,
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: None = None
+) -> Iterator[Tuple[Optional[_T1]]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T1],
+    __iter2: Iterable[_T2],
+    *,
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: None = None
+) -> Iterator[Tuple[Optional[_T1], Optional[_T2]]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T],
+    __iter2: Iterable[_T],
+    __iter3: Iterable[_T],
+    *iterables: Iterable[_T],
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: None = None
+) -> Iterator[Tuple[Optional[_T], ...]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T1],
+    *,
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: _U,
+) -> Iterator[Tuple[Union[_T1, _U]]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T1],
+    __iter2: Iterable[_T2],
+    *,
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: _U,
+) -> Iterator[Tuple[Union[_T1, _U], Union[_T2, _U]]]: ...
+@overload
+def zip_offset(
+    __iter1: Iterable[_T],
+    __iter2: Iterable[_T],
+    __iter3: Iterable[_T],
+    *iterables: Iterable[_T],
+    offsets: _SizedIterable[int],
+    longest: bool = ...,
+    fillvalue: _U,
+) -> Iterator[Tuple[Union[_T, _U], ...]]: ...
+def sort_together(
+    iterables: Iterable[Iterable[_T]],
+    key_list: Iterable[int] = ...,
+    key: Optional[Callable[..., Any]] = ...,
+    reverse: bool = ...,
+) -> List[Tuple[_T, ...]]: ...
+def unzip(iterable: Iterable[Sequence[_T]]) -> Tuple[Iterator[_T], ...]: ...
+def divide(n: int, iterable: Iterable[_T]) -> List[Iterator[_T]]: ...
+def always_iterable(
+    obj: object,
+    base_type: Union[
+        type, Tuple[Union[type, Tuple[Any, ...]], ...], None
+    ] = ...,
+) -> Iterator[Any]: ...
+def adjacent(
+    predicate: Callable[[_T], bool],
+    iterable: Iterable[_T],
+    distance: int = ...,
+) -> Iterator[Tuple[bool, _T]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: None = None,
+    valuefunc: None = None,
+    reducefunc: None = None,
+) -> Iterator[Tuple[_T, Iterator[_T]]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: None,
+    reducefunc: None,
+) -> Iterator[Tuple[_U, Iterator[_T]]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: None,
+    valuefunc: Callable[[_T], _V],
+    reducefunc: None,
+) -> Iterable[Tuple[_T, Iterable[_V]]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: Callable[[_T], _V],
+    reducefunc: None,
+) -> Iterable[Tuple[_U, Iterator[_V]]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: None,
+    valuefunc: None,
+    reducefunc: Callable[[Iterator[_T]], _W],
+) -> Iterable[Tuple[_T, _W]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: None,
+    reducefunc: Callable[[Iterator[_T]], _W],
+) -> Iterable[Tuple[_U, _W]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: None,
+    valuefunc: Callable[[_T], _V],
+    reducefunc: Callable[[Iterable[_V]], _W],
+) -> Iterable[Tuple[_T, _W]]: ...
+@overload
+def groupby_transform(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: Callable[[_T], _V],
+    reducefunc: Callable[[Iterable[_V]], _W],
+) -> Iterable[Tuple[_U, _W]]: ...
+
+class numeric_range(Generic[_T, _U], Sequence[_T], Hashable, Reversible[_T]):
+    @overload
+    def __init__(self, __stop: _T) -> None: ...
+    @overload
+    def __init__(self, __start: _T, __stop: _T) -> None: ...
+    @overload
+    def __init__(self, __start: _T, __stop: _T, __step: _U) -> None: ...
+    def __bool__(self) -> bool: ...
+    def __contains__(self, elem: object) -> bool: ...
+    def __eq__(self, other: object) -> bool: ...
+    @overload
+    def __getitem__(self, key: int) -> _T: ...
+    @overload
+    def __getitem__(self, key: slice) -> numeric_range[_T, _U]: ...
+    def __hash__(self) -> int: ...
+    def __iter__(self) -> Iterator[_T]: ...
+    def __len__(self) -> int: ...
+    def __reduce__(
+        self,
+    ) -> Tuple[Type[numeric_range[_T, _U]], Tuple[_T, _T, _U]]: ...
+    def __repr__(self) -> str: ...
+    def __reversed__(self) -> Iterator[_T]: ...
+    def count(self, value: _T) -> int: ...
+    def index(self, value: _T) -> int: ...  # type: ignore
+
+def count_cycle(
+    iterable: Iterable[_T], n: Optional[int] = ...
+) -> Iterable[Tuple[int, _T]]: ...
+def mark_ends(
+    iterable: Iterable[_T],
+) -> Iterable[Tuple[bool, bool, _T]]: ...
+def locate(
+    iterable: Iterable[object],
+    pred: Callable[..., Any] = ...,
+    window_size: Optional[int] = ...,
+) -> Iterator[int]: ...
+def lstrip(
+    iterable: Iterable[_T], pred: Callable[[_T], object]
+) -> Iterator[_T]: ...
+def rstrip(
+    iterable: Iterable[_T], pred: Callable[[_T], object]
+) -> Iterator[_T]: ...
+def strip(
+    iterable: Iterable[_T], pred: Callable[[_T], object]
+) -> Iterator[_T]: ...
+
+class islice_extended(Generic[_T], Iterator[_T]):
+    def __init__(
+        self, iterable: Iterable[_T], *args: Optional[int]
+    ) -> None: ...
+    def __iter__(self) -> islice_extended[_T]: ...
+    def __next__(self) -> _T: ...
+    def __getitem__(self, index: slice) -> islice_extended[_T]: ...
+
+def always_reversible(iterable: Iterable[_T]) -> Iterator[_T]: ...
+def consecutive_groups(
+    iterable: Iterable[_T], ordering: Callable[[_T], int] = ...
+) -> Iterator[Iterator[_T]]: ...
+@overload
+def difference(
+    iterable: Iterable[_T],
+    func: Callable[[_T, _T], _U] = ...,
+    *,
+    initial: None = ...
+) -> Iterator[Union[_T, _U]]: ...
+@overload
+def difference(
+    iterable: Iterable[_T], func: Callable[[_T, _T], _U] = ..., *, initial: _U
+) -> Iterator[_U]: ...
+
+class SequenceView(Generic[_T], Sequence[_T]):
+    def __init__(self, target: Sequence[_T]) -> None: ...
+    @overload
+    def __getitem__(self, index: int) -> _T: ...
+    @overload
+    def __getitem__(self, index: slice) -> Sequence[_T]: ...
+    def __len__(self) -> int: ...
+
+class seekable(Generic[_T], Iterator[_T]):
+    def __init__(
+        self, iterable: Iterable[_T], maxlen: Optional[int] = ...
+    ) -> None: ...
+    def __iter__(self) -> seekable[_T]: ...
+    def __next__(self) -> _T: ...
+    def __bool__(self) -> bool: ...
+    @overload
+    def peek(self) -> _T: ...
+    @overload
+    def peek(self, default: _U) -> Union[_T, _U]: ...
+    def elements(self) -> SequenceView[_T]: ...
+    def seek(self, index: int) -> None: ...
+
+class run_length:
+    @staticmethod
+    def encode(iterable: Iterable[_T]) -> Iterator[Tuple[_T, int]]: ...
+    @staticmethod
+    def decode(iterable: Iterable[Tuple[_T, int]]) -> Iterator[_T]: ...
+
+def exactly_n(
+    iterable: Iterable[_T], n: int, predicate: Callable[[_T], object] = ...
+) -> bool: ...
+def circular_shifts(iterable: Iterable[_T]) -> List[Tuple[_T, ...]]: ...
+def make_decorator(
+    wrapping_func: Callable[..., _U], result_index: int = ...
+) -> Callable[..., Callable[[Callable[..., Any]], Callable[..., _U]]]: ...
+@overload
+def map_reduce(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: None = ...,
+    reducefunc: None = ...,
+) -> Dict[_U, List[_T]]: ...
+@overload
+def map_reduce(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: Callable[[_T], _V],
+    reducefunc: None = ...,
+) -> Dict[_U, List[_V]]: ...
+@overload
+def map_reduce(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: None = ...,
+    reducefunc: Callable[[List[_T]], _W] = ...,
+) -> Dict[_U, _W]: ...
+@overload
+def map_reduce(
+    iterable: Iterable[_T],
+    keyfunc: Callable[[_T], _U],
+    valuefunc: Callable[[_T], _V],
+    reducefunc: Callable[[List[_V]], _W],
+) -> Dict[_U, _W]: ...
+def rlocate(
+    iterable: Iterable[_T],
+    pred: Callable[..., object] = ...,
+    window_size: Optional[int] = ...,
+) -> Iterator[int]: ...
+def replace(
+    iterable: Iterable[_T],
+    pred: Callable[..., object],
+    substitutes: Iterable[_U],
+    count: Optional[int] = ...,
+    window_size: int = ...,
+) -> Iterator[Union[_T, _U]]: ...
+def partitions(iterable: Iterable[_T]) -> Iterator[List[List[_T]]]: ...
+def set_partitions(
+    iterable: Iterable[_T], k: Optional[int] = ...
+) -> Iterator[List[List[_T]]]: ...
+
+class time_limited(Generic[_T], Iterator[_T]):
+    def __init__(
+        self, limit_seconds: float, iterable: Iterable[_T]
+    ) -> None: ...
+    def __iter__(self) -> islice_extended[_T]: ...
+    def __next__(self) -> _T: ...
+
+@overload
+def only(
+    iterable: Iterable[_T], *, too_long: Optional[_Raisable] = ...
+) -> Optional[_T]: ...
+@overload
+def only(
+    iterable: Iterable[_T], default: _U, too_long: Optional[_Raisable] = ...
+) -> Union[_T, _U]: ...
+def ichunked(iterable: Iterable[_T], n: int) -> Iterator[Iterator[_T]]: ...
+def distinct_combinations(
+    iterable: Iterable[_T], r: int
+) -> Iterator[Tuple[_T, ...]]: ...
+def filter_except(
+    validator: Callable[[Any], object],
+    iterable: Iterable[_T],
+    *exceptions: Type[BaseException]
+) -> Iterator[_T]: ...
+def map_except(
+    function: Callable[[Any], _U],
+    iterable: Iterable[_T],
+    *exceptions: Type[BaseException]
+) -> Iterator[_U]: ...
+def map_if(
+    iterable: Iterable[Any],
+    pred: Callable[[Any], bool],
+    func: Callable[[Any], Any],
+    func_else: Optional[Callable[[Any], Any]] = ...,
+) -> Iterator[Any]: ...
+def sample(
+    iterable: Iterable[_T],
+    k: int,
+    weights: Optional[Iterable[float]] = ...,
+) -> List[_T]: ...
+def is_sorted(
+    iterable: Iterable[_T],
+    key: Optional[Callable[[_T], _U]] = ...,
+    reverse: bool = False,
+    strict: bool = False,
+) -> bool: ...
+
+class AbortThread(BaseException):
+    pass
+
+class callback_iter(Generic[_T], Iterator[_T]):
+    def __init__(
+        self,
+        func: Callable[..., Any],
+        callback_kwd: str = ...,
+        wait_seconds: float = ...,
+    ) -> None: ...
+    def __enter__(self) -> callback_iter[_T]: ...
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_value: Optional[BaseException],
+        traceback: Optional[TracebackType],
+    ) -> Optional[bool]: ...
+    def __iter__(self) -> callback_iter[_T]: ...
+    def __next__(self) -> _T: ...
+    def _reader(self) -> Iterator[_T]: ...
+    @property
+    def done(self) -> bool: ...
+    @property
+    def result(self) -> Any: ...
+
+def windowed_complete(
+    iterable: Iterable[_T], n: int
+) -> Iterator[Tuple[_T, ...]]: ...
+def all_unique(
+    iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = ...
+) -> bool: ...
+def nth_product(index: int, *args: Iterable[_T]) -> Tuple[_T, ...]: ...
+def nth_permutation(
+    iterable: Iterable[_T], r: int, index: int
+) -> Tuple[_T, ...]: ...
+def value_chain(*args: Union[_T, Iterable[_T]]) -> Iterable[_T]: ...
+def product_index(element: Iterable[_T], *args: Iterable[_T]) -> int: ...
+def combination_index(
+    element: Iterable[_T], iterable: Iterable[_T]
+) -> int: ...
+def permutation_index(
+    element: Iterable[_T], iterable: Iterable[_T]
+) -> int: ...
+def repeat_each(iterable: Iterable[_T], n: int = ...) -> Iterator[_T]: ...
+
+class countable(Generic[_T], Iterator[_T]):
+    def __init__(self, iterable: Iterable[_T]) -> None: ...
+    def __iter__(self) -> countable[_T]: ...
+    def __next__(self) -> _T: ...
+
+def chunked_even(iterable: Iterable[_T], n: int) -> Iterator[List[_T]]: ...
+def zip_broadcast(
+    *objects: Union[_T, Iterable[_T]],
+    scalar_types: Union[
+        type, Tuple[Union[type, Tuple[Any, ...]], ...], None
+    ] = ...,
+    strict: bool = ...
+) -> Iterable[Tuple[_T, ...]]: ...
+def unique_in_window(
+    iterable: Iterable[_T], n: int, key: Optional[Callable[[_T], _U]] = ...
+) -> Iterator[_T]: ...
+def duplicates_everseen(
+    iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = ...
+) -> Iterator[_T]: ...
+def duplicates_justseen(
+    iterable: Iterable[_T], key: Optional[Callable[[_T], _U]] = ...
+) -> Iterator[_T]: ...
+
+class _SupportsLessThan(Protocol):
+    def __lt__(self, __other: Any) -> bool: ...
+
+_SupportsLessThanT = TypeVar("_SupportsLessThanT", bound=_SupportsLessThan)
+
+@overload
+def minmax(
+    iterable_or_value: Iterable[_SupportsLessThanT], *, key: None = None
+) -> Tuple[_SupportsLessThanT, _SupportsLessThanT]: ...
+@overload
+def minmax(
+    iterable_or_value: Iterable[_T], *, key: Callable[[_T], _SupportsLessThan]
+) -> Tuple[_T, _T]: ...
+@overload
+def minmax(
+    iterable_or_value: Iterable[_SupportsLessThanT],
+    *,
+    key: None = None,
+    default: _U
+) -> Union[_U, Tuple[_SupportsLessThanT, _SupportsLessThanT]]: ...
+@overload
+def minmax(
+    iterable_or_value: Iterable[_T],
+    *,
+    key: Callable[[_T], _SupportsLessThan],
+    default: _U,
+) -> Union[_U, Tuple[_T, _T]]: ...
+@overload
+def minmax(
+    iterable_or_value: _SupportsLessThanT,
+    __other: _SupportsLessThanT,
+    *others: _SupportsLessThanT
+) -> Tuple[_SupportsLessThanT, _SupportsLessThanT]: ...
+@overload
+def minmax(
+    iterable_or_value: _T,
+    __other: _T,
+    *others: _T,
+    key: Callable[[_T], _SupportsLessThan]
+) -> Tuple[_T, _T]: ...

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

@@ -0,0 +1,698 @@
+"""Imported from the recipes section of the itertools documentation.
+
+All functions taken from the recipes section of the itertools library docs
+[1]_.
+Some backward-compatible usability improvements have been made.
+
+.. [1] http://docs.python.org/library/itertools.html#recipes
+
+"""
+import warnings
+from collections import deque
+from itertools import (
+    chain,
+    combinations,
+    count,
+    cycle,
+    groupby,
+    islice,
+    repeat,
+    starmap,
+    tee,
+    zip_longest,
+)
+import operator
+from random import randrange, sample, choice
+
+__all__ = [
+    'all_equal',
+    'before_and_after',
+    'consume',
+    'convolve',
+    'dotproduct',
+    'first_true',
+    'flatten',
+    'grouper',
+    'iter_except',
+    'ncycles',
+    'nth',
+    'nth_combination',
+    'padnone',
+    'pad_none',
+    'pairwise',
+    'partition',
+    'powerset',
+    'prepend',
+    'quantify',
+    'random_combination_with_replacement',
+    'random_combination',
+    'random_permutation',
+    'random_product',
+    'repeatfunc',
+    'roundrobin',
+    'sliding_window',
+    'tabulate',
+    'tail',
+    'take',
+    'triplewise',
+    'unique_everseen',
+    'unique_justseen',
+]
+
+
+def take(n, iterable):
+    """Return first *n* items of the iterable as a list.
+
+        >>> take(3, range(10))
+        [0, 1, 2]
+
+    If there are fewer than *n* items in the iterable, all of them are
+    returned.
+
+        >>> take(10, range(3))
+        [0, 1, 2]
+
+    """
+    return list(islice(iterable, n))
+
+
+def tabulate(function, start=0):
+    """Return an iterator over the results of ``func(start)``,
+    ``func(start + 1)``, ``func(start + 2)``...
+
+    *func* should be a function that accepts one integer argument.
+
+    If *start* is not specified it defaults to 0. It will be incremented each
+    time the iterator is advanced.
+
+        >>> square = lambda x: x ** 2
+        >>> iterator = tabulate(square, -3)
+        >>> take(4, iterator)
+        [9, 4, 1, 0]
+
+    """
+    return map(function, count(start))
+
+
+def tail(n, iterable):
+    """Return an iterator over the last *n* items of *iterable*.
+
+    >>> t = tail(3, 'ABCDEFG')
+    >>> list(t)
+    ['E', 'F', 'G']
+
+    """
+    return iter(deque(iterable, maxlen=n))
+
+
+def consume(iterator, n=None):
+    """Advance *iterable* by *n* steps. If *n* is ``None``, consume it
+    entirely.
+
+    Efficiently exhausts an iterator without returning values. Defaults to
+    consuming the whole iterator, but an optional second argument may be
+    provided to limit consumption.
+
+        >>> i = (x for x in range(10))
+        >>> next(i)
+        0
+        >>> consume(i, 3)
+        >>> next(i)
+        4
+        >>> consume(i)
+        >>> next(i)
+        Traceback (most recent call last):
+          File "<stdin>", line 1, in <module>
+        StopIteration
+
+    If the iterator has fewer items remaining than the provided limit, the
+    whole iterator will be consumed.
+
+        >>> i = (x for x in range(3))
+        >>> consume(i, 5)
+        >>> next(i)
+        Traceback (most recent call last):
+          File "<stdin>", line 1, in <module>
+        StopIteration
+
+    """
+    # Use functions that consume iterators at C speed.
+    if n is None:
+        # feed the entire iterator into a zero-length deque
+        deque(iterator, maxlen=0)
+    else:
+        # advance to the empty slice starting at position n
+        next(islice(iterator, n, n), None)
+
+
+def nth(iterable, n, default=None):
+    """Returns the nth item or a default value.
+
+    >>> l = range(10)
+    >>> nth(l, 3)
+    3
+    >>> nth(l, 20, "zebra")
+    'zebra'
+
+    """
+    return next(islice(iterable, n, None), default)
+
+
+def all_equal(iterable):
+    """
+    Returns ``True`` if all the elements are equal to each other.
+
+        >>> all_equal('aaaa')
+        True
+        >>> all_equal('aaab')
+        False
+
+    """
+    g = groupby(iterable)
+    return next(g, True) and not next(g, False)
+
+
+def quantify(iterable, pred=bool):
+    """Return the how many times the predicate is true.
+
+    >>> quantify([True, False, True])
+    2
+
+    """
+    return sum(map(pred, iterable))
+
+
+def pad_none(iterable):
+    """Returns the sequence of elements and then returns ``None`` indefinitely.
+
+        >>> take(5, pad_none(range(3)))
+        [0, 1, 2, None, None]
+
+    Useful for emulating the behavior of the built-in :func:`map` function.
+
+    See also :func:`padded`.
+
+    """
+    return chain(iterable, repeat(None))
+
+
+padnone = pad_none
+
+
+def ncycles(iterable, n):
+    """Returns the sequence elements *n* times
+
+    >>> list(ncycles(["a", "b"], 3))
+    ['a', 'b', 'a', 'b', 'a', 'b']
+
+    """
+    return chain.from_iterable(repeat(tuple(iterable), n))
+
+
+def dotproduct(vec1, vec2):
+    """Returns the dot product of the two iterables.
+
+    >>> dotproduct([10, 10], [20, 20])
+    400
+
+    """
+    return sum(map(operator.mul, vec1, vec2))
+
+
+def flatten(listOfLists):
+    """Return an iterator flattening one level of nesting in a list of lists.
+
+        >>> list(flatten([[0, 1], [2, 3]]))
+        [0, 1, 2, 3]
+
+    See also :func:`collapse`, which can flatten multiple levels of nesting.
+
+    """
+    return chain.from_iterable(listOfLists)
+
+
+def repeatfunc(func, times=None, *args):
+    """Call *func* with *args* repeatedly, returning an iterable over the
+    results.
+
+    If *times* is specified, the iterable will terminate after that many
+    repetitions:
+
+        >>> from operator import add
+        >>> times = 4
+        >>> args = 3, 5
+        >>> list(repeatfunc(add, times, *args))
+        [8, 8, 8, 8]
+
+    If *times* is ``None`` the iterable will not terminate:
+
+        >>> from random import randrange
+        >>> times = None
+        >>> args = 1, 11
+        >>> take(6, repeatfunc(randrange, times, *args))  # doctest:+SKIP
+        [2, 4, 8, 1, 8, 4]
+
+    """
+    if times is None:
+        return starmap(func, repeat(args))
+    return starmap(func, repeat(args, times))
+
+
+def _pairwise(iterable):
+    """Returns an iterator of paired items, overlapping, from the original
+
+    >>> take(4, pairwise(count()))
+    [(0, 1), (1, 2), (2, 3), (3, 4)]
+
+    On Python 3.10 and above, this is an alias for :func:`itertools.pairwise`.
+
+    """
+    a, b = tee(iterable)
+    next(b, None)
+    yield from zip(a, b)
+
+
+try:
+    from itertools import pairwise as itertools_pairwise
+except ImportError:
+    pairwise = _pairwise
+else:
+
+    def pairwise(iterable):
+        yield from itertools_pairwise(iterable)
+
+    pairwise.__doc__ = _pairwise.__doc__
+
+
+def grouper(iterable, n, fillvalue=None):
+    """Collect data into fixed-length chunks or blocks.
+
+    >>> list(grouper('ABCDEFG', 3, 'x'))
+    [('A', 'B', 'C'), ('D', 'E', 'F'), ('G', 'x', 'x')]
+
+    """
+    if isinstance(iterable, int):
+        warnings.warn(
+            "grouper expects iterable as first parameter", DeprecationWarning
+        )
+        n, iterable = iterable, n
+    args = [iter(iterable)] * n
+    return zip_longest(fillvalue=fillvalue, *args)
+
+
+def roundrobin(*iterables):
+    """Yields an item from each iterable, alternating between them.
+
+        >>> list(roundrobin('ABC', 'D', 'EF'))
+        ['A', 'D', 'E', 'B', 'F', 'C']
+
+    This function produces the same output as :func:`interleave_longest`, but
+    may perform better for some inputs (in particular when the number of
+    iterables is small).
+
+    """
+    # Recipe credited to George Sakkis
+    pending = len(iterables)
+    nexts = cycle(iter(it).__next__ for it in iterables)
+    while pending:
+        try:
+            for next in nexts:
+                yield next()
+        except StopIteration:
+            pending -= 1
+            nexts = cycle(islice(nexts, pending))
+
+
+def partition(pred, iterable):
+    """
+    Returns a 2-tuple of iterables derived from the input iterable.
+    The first yields the items that have ``pred(item) == False``.
+    The second yields the items that have ``pred(item) == True``.
+
+        >>> is_odd = lambda x: x % 2 != 0
+        >>> iterable = range(10)
+        >>> even_items, odd_items = partition(is_odd, iterable)
+        >>> list(even_items), list(odd_items)
+        ([0, 2, 4, 6, 8], [1, 3, 5, 7, 9])
+
+    If *pred* is None, :func:`bool` is used.
+
+        >>> iterable = [0, 1, False, True, '', ' ']
+        >>> false_items, true_items = partition(None, iterable)
+        >>> list(false_items), list(true_items)
+        ([0, False, ''], [1, True, ' '])
+
+    """
+    if pred is None:
+        pred = bool
+
+    evaluations = ((pred(x), x) for x in iterable)
+    t1, t2 = tee(evaluations)
+    return (
+        (x for (cond, x) in t1 if not cond),
+        (x for (cond, x) in t2 if cond),
+    )
+
+
+def powerset(iterable):
+    """Yields all possible subsets of the iterable.
+
+        >>> list(powerset([1, 2, 3]))
+        [(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)]
+
+    :func:`powerset` will operate on iterables that aren't :class:`set`
+    instances, so repeated elements in the input will produce repeated elements
+    in the output. Use :func:`unique_everseen` on the input to avoid generating
+    duplicates:
+
+        >>> seq = [1, 1, 0]
+        >>> list(powerset(seq))
+        [(), (1,), (1,), (0,), (1, 1), (1, 0), (1, 0), (1, 1, 0)]
+        >>> from more_itertools import unique_everseen
+        >>> list(powerset(unique_everseen(seq)))
+        [(), (1,), (0,), (1, 0)]
+
+    """
+    s = list(iterable)
+    return chain.from_iterable(combinations(s, r) for r in range(len(s) + 1))
+
+
+def unique_everseen(iterable, key=None):
+    """
+    Yield unique elements, preserving order.
+
+        >>> list(unique_everseen('AAAABBBCCDAABBB'))
+        ['A', 'B', 'C', 'D']
+        >>> list(unique_everseen('ABBCcAD', str.lower))
+        ['A', 'B', 'C', 'D']
+
+    Sequences with a mix of hashable and unhashable items can be used.
+    The function will be slower (i.e., `O(n^2)`) for unhashable items.
+
+    Remember that ``list`` objects are unhashable - you can use the *key*
+    parameter to transform the list to a tuple (which is hashable) to
+    avoid a slowdown.
+
+        >>> iterable = ([1, 2], [2, 3], [1, 2])
+        >>> list(unique_everseen(iterable))  # Slow
+        [[1, 2], [2, 3]]
+        >>> list(unique_everseen(iterable, key=tuple))  # Faster
+        [[1, 2], [2, 3]]
+
+    Similary, you may want to convert unhashable ``set`` objects with
+    ``key=frozenset``. For ``dict`` objects,
+    ``key=lambda x: frozenset(x.items())`` can be used.
+
+    """
+    seenset = set()
+    seenset_add = seenset.add
+    seenlist = []
+    seenlist_add = seenlist.append
+    use_key = key is not None
+
+    for element in iterable:
+        k = key(element) if use_key else element
+        try:
+            if k not in seenset:
+                seenset_add(k)
+                yield element
+        except TypeError:
+            if k not in seenlist:
+                seenlist_add(k)
+                yield element
+
+
+def unique_justseen(iterable, key=None):
+    """Yields elements in order, ignoring serial duplicates
+
+    >>> list(unique_justseen('AAAABBBCCDAABBB'))
+    ['A', 'B', 'C', 'D', 'A', 'B']
+    >>> list(unique_justseen('ABBCcAD', str.lower))
+    ['A', 'B', 'C', 'A', 'D']
+
+    """
+    return map(next, map(operator.itemgetter(1), groupby(iterable, key)))
+
+
+def iter_except(func, exception, first=None):
+    """Yields results from a function repeatedly until an exception is raised.
+
+    Converts a call-until-exception interface to an iterator interface.
+    Like ``iter(func, sentinel)``, but uses an exception instead of a sentinel
+    to end the loop.
+
+        >>> l = [0, 1, 2]
+        >>> list(iter_except(l.pop, IndexError))
+        [2, 1, 0]
+
+    Multiple exceptions can be specified as a stopping condition:
+
+        >>> l = [1, 2, 3, '...', 4, 5, 6]
+        >>> list(iter_except(lambda: 1 + l.pop(), (IndexError, TypeError)))
+        [7, 6, 5]
+        >>> list(iter_except(lambda: 1 + l.pop(), (IndexError, TypeError)))
+        [4, 3, 2]
+        >>> list(iter_except(lambda: 1 + l.pop(), (IndexError, TypeError)))
+        []
+
+    """
+    try:
+        if first is not None:
+            yield first()
+        while 1:
+            yield func()
+    except exception:
+        pass
+
+
+def first_true(iterable, default=None, pred=None):
+    """
+    Returns the first true value in the iterable.
+
+    If no true value is found, returns *default*
+
+    If *pred* is not None, returns the first item for which
+    ``pred(item) == True`` .
+
+        >>> first_true(range(10))
+        1
+        >>> first_true(range(10), pred=lambda x: x > 5)
+        6
+        >>> first_true(range(10), default='missing', pred=lambda x: x > 9)
+        'missing'
+
+    """
+    return next(filter(pred, iterable), default)
+
+
+def random_product(*args, repeat=1):
+    """Draw an item at random from each of the input iterables.
+
+        >>> random_product('abc', range(4), 'XYZ')  # doctest:+SKIP
+        ('c', 3, 'Z')
+
+    If *repeat* is provided as a keyword argument, that many items will be
+    drawn from each iterable.
+
+        >>> random_product('abcd', range(4), repeat=2)  # doctest:+SKIP
+        ('a', 2, 'd', 3)
+
+    This equivalent to taking a random selection from
+    ``itertools.product(*args, **kwarg)``.
+
+    """
+    pools = [tuple(pool) for pool in args] * repeat
+    return tuple(choice(pool) for pool in pools)
+
+
+def random_permutation(iterable, r=None):
+    """Return a random *r* length permutation of the elements in *iterable*.
+
+    If *r* is not specified or is ``None``, then *r* defaults to the length of
+    *iterable*.
+
+        >>> random_permutation(range(5))  # doctest:+SKIP
+        (3, 4, 0, 1, 2)
+
+    This equivalent to taking a random selection from
+    ``itertools.permutations(iterable, r)``.
+
+    """
+    pool = tuple(iterable)
+    r = len(pool) if r is None else r
+    return tuple(sample(pool, r))
+
+
+def random_combination(iterable, r):
+    """Return a random *r* length subsequence of the elements in *iterable*.
+
+        >>> random_combination(range(5), 3)  # doctest:+SKIP
+        (2, 3, 4)
+
+    This equivalent to taking a random selection from
+    ``itertools.combinations(iterable, r)``.
+
+    """
+    pool = tuple(iterable)
+    n = len(pool)
+    indices = sorted(sample(range(n), r))
+    return tuple(pool[i] for i in indices)
+
+
+def random_combination_with_replacement(iterable, r):
+    """Return a random *r* length subsequence of elements in *iterable*,
+    allowing individual elements to be repeated.
+
+        >>> random_combination_with_replacement(range(3), 5) # doctest:+SKIP
+        (0, 0, 1, 2, 2)
+
+    This equivalent to taking a random selection from
+    ``itertools.combinations_with_replacement(iterable, r)``.
+
+    """
+    pool = tuple(iterable)
+    n = len(pool)
+    indices = sorted(randrange(n) for i in range(r))
+    return tuple(pool[i] for i in indices)
+
+
+def nth_combination(iterable, r, index):
+    """Equivalent to ``list(combinations(iterable, r))[index]``.
+
+    The subsequences of *iterable* that are of length *r* can be ordered
+    lexicographically. :func:`nth_combination` computes the subsequence at
+    sort position *index* directly, without computing the previous
+    subsequences.
+
+        >>> nth_combination(range(5), 3, 5)
+        (0, 3, 4)
+
+    ``ValueError`` will be raised If *r* is negative or greater than the length
+    of *iterable*.
+    ``IndexError`` will be raised if the given *index* is invalid.
+    """
+    pool = tuple(iterable)
+    n = len(pool)
+    if (r < 0) or (r > n):
+        raise ValueError
+
+    c = 1
+    k = min(r, n - r)
+    for i in range(1, k + 1):
+        c = c * (n - k + i) // i
+
+    if index < 0:
+        index += c
+
+    if (index < 0) or (index >= c):
+        raise IndexError
+
+    result = []
+    while r:
+        c, n, r = c * r // n, n - 1, r - 1
+        while index >= c:
+            index -= c
+            c, n = c * (n - r) // n, n - 1
+        result.append(pool[-1 - n])
+
+    return tuple(result)
+
+
+def prepend(value, iterator):
+    """Yield *value*, followed by the elements in *iterator*.
+
+        >>> value = '0'
+        >>> iterator = ['1', '2', '3']
+        >>> list(prepend(value, iterator))
+        ['0', '1', '2', '3']
+
+    To prepend multiple values, see :func:`itertools.chain`
+    or :func:`value_chain`.
+
+    """
+    return chain([value], iterator)
+
+
+def convolve(signal, kernel):
+    """Convolve the iterable *signal* with the iterable *kernel*.
+
+        >>> signal = (1, 2, 3, 4, 5)
+        >>> kernel = [3, 2, 1]
+        >>> list(convolve(signal, kernel))
+        [3, 8, 14, 20, 26, 14, 5]
+
+    Note: the input arguments are not interchangeable, as the *kernel*
+    is immediately consumed and stored.
+
+    """
+    kernel = tuple(kernel)[::-1]
+    n = len(kernel)
+    window = deque([0], maxlen=n) * n
+    for x in chain(signal, repeat(0, n - 1)):
+        window.append(x)
+        yield sum(map(operator.mul, kernel, window))
+
+
+def before_and_after(predicate, it):
+    """A variant of :func:`takewhile` that allows complete access to the
+    remainder of the iterator.
+
+         >>> it = iter('ABCdEfGhI')
+         >>> all_upper, remainder = before_and_after(str.isupper, it)
+         >>> ''.join(all_upper)
+         'ABC'
+         >>> ''.join(remainder) # takewhile() would lose the 'd'
+         'dEfGhI'
+
+    Note that the first iterator must be fully consumed before the second
+    iterator can generate valid results.
+    """
+    it = iter(it)
+    transition = []
+
+    def true_iterator():
+        for elem in it:
+            if predicate(elem):
+                yield elem
+            else:
+                transition.append(elem)
+                return
+
+    def remainder_iterator():
+        yield from transition
+        yield from it
+
+    return true_iterator(), remainder_iterator()
+
+
+def triplewise(iterable):
+    """Return overlapping triplets from *iterable*.
+
+    >>> list(triplewise('ABCDE'))
+    [('A', 'B', 'C'), ('B', 'C', 'D'), ('C', 'D', 'E')]
+
+    """
+    for (a, _), (b, c) in pairwise(pairwise(iterable)):
+        yield a, b, c
+
+
+def sliding_window(iterable, n):
+    """Return a sliding window of width *n* over *iterable*.
+
+        >>> list(sliding_window(range(6), 4))
+        [(0, 1, 2, 3), (1, 2, 3, 4), (2, 3, 4, 5)]
+
+    If *iterable* has fewer than *n* items, then nothing is yielded:
+
+        >>> list(sliding_window(range(3), 4))
+        []
+
+    For a variant with more features, see :func:`windowed`.
+    """
+    it = iter(iterable)
+    window = deque(islice(it, n), maxlen=n)
+    if len(window) == n:
+        yield tuple(window)
+    for x in it:
+        window.append(x)
+        yield tuple(window)

.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, ...]]: ...