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Mini Shell
Mini Shell
"""Stubs for more_itertools.more"""
from __future__ import annotations
from types import TracebackType
from typing import (
Any,
Callable,
Container,
ContextManager,
Generic,
Hashable,
Iterable,
Iterator,
overload,
Reversible,
Sequence,
Sized,
Type,
TypeVar,
type_check_only,
)
from typing_extensions import Protocol
# 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[Any]])
_Raisable = 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]): ...
@type_check_only
class _SupportsSlicing(Protocol[_T_co]):
def __getitem__(self, __k: slice) -> _T_co: ...
def chunked(
iterable: Iterable[_T], n: int | None, strict: bool = ...
) -> Iterator[list[_T]]: ...
@overload
def first(iterable: Iterable[_T]) -> _T: ...
@overload
def first(iterable: Iterable[_T], default: _U) -> _T | _U: ...
@overload
def last(iterable: Iterable[_T]) -> _T: ...
@overload
def last(iterable: Iterable[_T], default: _U) -> _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) -> _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) -> _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 consumer(func: _GenFn) -> _GenFn: ...
def ilen(iterable: Iterable[_T]) -> 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: _Raisable | None = ...,
too_long: _Raisable | None = ...,
) -> _T: ...
def raise_(exception: _Raisable, *args: Any) -> None: ...
def strictly_n(
iterable: Iterable[_T],
n: int,
too_short: _GenFn | None = ...,
too_long: _GenFn | None = ...,
) -> list[_T]: ...
def distinct_permutations(
iterable: Iterable[_T], r: int | None = ...
) -> Iterator[tuple[_T, ...]]: ...
def intersperse(
e: _U, iterable: Iterable[_T], n: int = ...
) -> Iterator[_T | _U]: ...
def unique_to_each(*iterables: Iterable[_T]) -> list[list[_T]]: ...
@overload
def windowed(
seq: Iterable[_T], n: int, *, step: int = ...
) -> Iterator[tuple[_T | None, ...]]: ...
@overload
def windowed(
seq: Iterable[_T], n: int, fillvalue: _U, step: int = ...
) -> Iterator[tuple[_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: Callable[[_U], object] | None = ...,
) -> 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: list[int] | None = ...
) -> Iterator[_T]: ...
def collapse(
iterable: Iterable[Any],
base_type: type | None = ...,
levels: int | None = ...,
) -> Iterator[Any]: ...
@overload
def side_effect(
func: Callable[[_T], object],
iterable: Iterable[_T],
chunk_size: None = ...,
before: Callable[[], object] | None = ...,
after: Callable[[], object] | None = ...,
) -> Iterator[_T]: ...
@overload
def side_effect(
func: Callable[[list[_T]], object],
iterable: Iterable[_T],
chunk_size: int,
before: Callable[[], object] | None = ...,
after: Callable[[], object] | None = ...,
) -> Iterator[_T]: ...
def sliced(
seq: _SupportsSlicing[_T], n: int, strict: bool = ...
) -> Iterator[_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[int | None]
) -> Iterator[list[_T]]: ...
@overload
def padded(
iterable: Iterable[_T],
*,
n: int | None = ...,
next_multiple: bool = ...,
) -> Iterator[_T | None]: ...
@overload
def padded(
iterable: Iterable[_T],
fillvalue: _U,
n: int | None = ...,
next_multiple: bool = ...,
) -> Iterator[_T | _U]: ...
@overload
def repeat_last(iterable: Iterable[_T]) -> Iterator[_T]: ...
@overload
def repeat_last(iterable: Iterable[_T], default: _U) -> Iterator[_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[_T | None, ...]]: ...
@overload
def stagger(
iterable: Iterable[_T],
offsets: _SizedIterable[int] = ...,
longest: bool = ...,
fillvalue: _U = ...,
) -> Iterator[tuple[_T | _U, ...]]: ...
class UnequalIterablesError(ValueError):
def __init__(self, details: tuple[int, int, int] | None = ...) -> 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[_T1 | None]]: ...
@overload
def zip_offset(
__iter1: Iterable[_T1],
__iter2: Iterable[_T2],
*,
offsets: _SizedIterable[int],
longest: bool = ...,
fillvalue: None = None,
) -> Iterator[tuple[_T1 | None, _T2 | None]]: ...
@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[_T | None, ...]]: ...
@overload
def zip_offset(
__iter1: Iterable[_T1],
*,
offsets: _SizedIterable[int],
longest: bool = ...,
fillvalue: _U,
) -> Iterator[tuple[_T1 | _U]]: ...
@overload
def zip_offset(
__iter1: Iterable[_T1],
__iter2: Iterable[_T2],
*,
offsets: _SizedIterable[int],
longest: bool = ...,
fillvalue: _U,
) -> Iterator[tuple[_T1 | _U, _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[_T | _U, ...]]: ...
def sort_together(
iterables: Iterable[Iterable[_T]],
key_list: Iterable[int] = ...,
key: Callable[..., Any] | None = ...,
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: type | tuple[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: int | None = ...
) -> Iterable[tuple[int, _T]]: ...
def mark_ends(
iterable: Iterable[_T],
) -> Iterable[tuple[bool, bool, _T]]: ...
def locate(
iterable: Iterable[_T],
pred: Callable[..., Any] = ...,
window_size: int | None = ...,
) -> 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: int | None) -> 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[_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: int | None = ...
) -> 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) -> _T | _U: ...
def elements(self) -> SequenceView[_T]: ...
def seek(self, index: int) -> None: ...
def relative_seek(self, count: 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: int | None = ...,
) -> Iterator[int]: ...
def replace(
iterable: Iterable[_T],
pred: Callable[..., object],
substitutes: Iterable[_U],
count: int | None = ...,
window_size: int = ...,
) -> Iterator[_T | _U]: ...
def partitions(iterable: Iterable[_T]) -> Iterator[list[list[_T]]]: ...
def set_partitions(
iterable: Iterable[_T], k: int | None = ...
) -> 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: _Raisable | None = ...
) -> _T | None: ...
@overload
def only(
iterable: Iterable[_T], default: _U, too_long: _Raisable | None = ...
) -> _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: Callable[[Any], Any] | None = ...,
) -> Iterator[Any]: ...
def sample(
iterable: Iterable[_T],
k: int,
weights: Iterable[float] | None = ...,
) -> list[_T]: ...
def is_sorted(
iterable: Iterable[_T],
key: Callable[[_T], _U] | None = ...,
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: Type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None: ...
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: Callable[[_T], _U] | None = ...
) -> bool: ...
def nth_product(index: int, *args: Iterable[_T]) -> tuple[_T, ...]: ...
def nth_combination_with_replacement(
iterable: Iterable[_T], r: int, index: int
) -> tuple[_T, ...]: ...
def nth_permutation(
iterable: Iterable[_T], r: int, index: int
) -> tuple[_T, ...]: ...
def value_chain(*args: _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 combination_with_replacement_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: _T | Iterable[_T],
scalar_types: type | tuple[type | tuple[Any, ...], ...] | None = ...,
strict: bool = ...,
) -> Iterable[tuple[_T, ...]]: ...
def unique_in_window(
iterable: Iterable[_T], n: int, key: Callable[[_T], _U] | None = ...
) -> Iterator[_T]: ...
def duplicates_everseen(
iterable: Iterable[_T], key: Callable[[_T], _U] | None = ...
) -> Iterator[_T]: ...
def duplicates_justseen(
iterable: Iterable[_T], key: Callable[[_T], _U] | None = ...
) -> Iterator[_T]: ...
def classify_unique(
iterable: Iterable[_T], key: Callable[[_T], _U] | None = ...
) -> Iterator[tuple[_T, bool, bool]]: ...
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,
) -> _U | tuple[_SupportsLessThanT, _SupportsLessThanT]: ...
@overload
def minmax(
iterable_or_value: Iterable[_T],
*,
key: Callable[[_T], _SupportsLessThan],
default: _U,
) -> _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]: ...
def longest_common_prefix(
iterables: Iterable[Iterable[_T]],
) -> Iterator[_T]: ...
def iequals(*iterables: Iterable[Any]) -> bool: ...
def constrained_batches(
iterable: Iterable[_T],
max_size: int,
max_count: int | None = ...,
get_len: Callable[[_T], object] = ...,
strict: bool = ...,
) -> Iterator[tuple[_T]]: ...
def gray_product(*iterables: Iterable[_T]) -> Iterator[tuple[_T, ...]]: ...
def partial_product(*iterables: Iterable[_T]) -> Iterator[tuple[_T, ...]]: ...
def takewhile_inclusive(
predicate: Callable[[_T], bool], iterable: Iterable[_T]
) -> Iterator[_T]: ...
def outer_product(
func: Callable[[_T, _U], _V],
xs: Iterable[_T],
ys: Iterable[_U],
*args: Any,
**kwargs: Any,
) -> Iterator[tuple[_V, ...]]: ...
def iter_suppress(
iterable: Iterable[_T],
*exceptions: Type[BaseException],
) -> Iterator[_T]: ...
def filter_map(
func: Callable[[_T], _V | None],
iterable: Iterable[_T],
) -> Iterator[_V]: ...
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