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Speed up MultiWriterIdGenerator when lots of IDs are in flight. #10755
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Minor speed ups when joining large rooms over federation. |
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# stub for SortedSet. This is a lightly edited copy of | ||
# https://github.com/grantjenks/python-sortedcontainers/blob/d0a225d7fd0fb4c54532b8798af3cbeebf97e2d5/sortedcontainers/sortedset.pyi | ||
# (from https://github.com/grantjenks/python-sortedcontainers/pull/107) | ||
|
||
from typing import ( | ||
AbstractSet, | ||
Any, | ||
Callable, | ||
Generic, | ||
Hashable, | ||
Iterable, | ||
Iterator, | ||
List, | ||
MutableSet, | ||
Optional, | ||
Sequence, | ||
Set, | ||
Tuple, | ||
Type, | ||
TypeVar, | ||
Union, | ||
overload, | ||
) | ||
|
||
# --- Global | ||
|
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_T = TypeVar("_T", bound=Hashable) | ||
_S = TypeVar("_S", bound=Hashable) | ||
_SS = TypeVar("_SS", bound=SortedSet) | ||
_Key = Callable[[_T], Any] | ||
|
||
class SortedSet(MutableSet[_T], Sequence[_T]): | ||
def __init__( | ||
self, | ||
iterable: Optional[Iterable[_T]] = ..., | ||
key: Optional[_Key[_T]] = ..., | ||
) -> None: ... | ||
@classmethod | ||
def _fromset( | ||
cls, values: Set[_T], key: Optional[_Key[_T]] = ... | ||
) -> SortedSet[_T]: ... | ||
@property | ||
def key(self) -> Optional[_Key[_T]]: ... | ||
def __contains__(self, value: Any) -> bool: ... | ||
@overload | ||
def __getitem__(self, index: int) -> _T: ... | ||
@overload | ||
def __getitem__(self, index: slice) -> List[_T]: ... | ||
def __delitem__(self, index: Union[int, slice]) -> None: ... | ||
def __eq__(self, other: Any) -> bool: ... | ||
def __ne__(self, other: Any) -> bool: ... | ||
def __lt__(self, other: Iterable[_T]) -> bool: ... | ||
def __gt__(self, other: Iterable[_T]) -> bool: ... | ||
def __le__(self, other: Iterable[_T]) -> bool: ... | ||
def __ge__(self, other: Iterable[_T]) -> bool: ... | ||
def __len__(self) -> int: ... | ||
def __iter__(self) -> Iterator[_T]: ... | ||
def __reversed__(self) -> Iterator[_T]: ... | ||
def add(self, value: _T) -> None: ... | ||
def _add(self, value: _T) -> None: ... | ||
def clear(self) -> None: ... | ||
def copy(self: _SS) -> _SS: ... | ||
def __copy__(self: _SS) -> _SS: ... | ||
def count(self, value: _T) -> int: ... | ||
def discard(self, value: _T) -> None: ... | ||
def _discard(self, value: _T) -> None: ... | ||
def pop(self, index: int = ...) -> _T: ... | ||
def remove(self, value: _T) -> None: ... | ||
def difference(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __sub__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def difference_update( | ||
self, *iterables: Iterable[_S] | ||
) -> SortedSet[Union[_T, _S]]: ... | ||
def __isub__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def intersection(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __and__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __rand__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def intersection_update( | ||
self, *iterables: Iterable[_S] | ||
) -> SortedSet[Union[_T, _S]]: ... | ||
def __iand__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def symmetric_difference(self, other: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __xor__(self, other: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __rxor__(self, other: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def symmetric_difference_update( | ||
self, other: Iterable[_S] | ||
) -> SortedSet[Union[_T, _S]]: ... | ||
def __ixor__(self, other: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def union(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __or__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __ror__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def update(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __ior__(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def _update(self, *iterables: Iterable[_S]) -> SortedSet[Union[_T, _S]]: ... | ||
def __reduce__( | ||
self, | ||
) -> Tuple[Type[SortedSet[_T]], Set[_T], Callable[[_T], Any]]: ... | ||
def __repr__(self) -> str: ... | ||
def _check(self) -> None: ... | ||
def bisect_left(self, value: _T) -> int: ... | ||
def bisect_right(self, value: _T) -> int: ... | ||
def islice( | ||
self, | ||
start: Optional[int] = ..., | ||
stop: Optional[int] = ..., | ||
reverse=bool, | ||
) -> Iterator[_T]: ... | ||
def irange( | ||
self, | ||
minimum: Optional[_T] = ..., | ||
maximum: Optional[_T] = ..., | ||
inclusive: Tuple[bool, bool] = ..., | ||
reverse: bool = ..., | ||
) -> Iterator[_T]: ... | ||
def index( | ||
self, value: _T, start: Optional[int] = ..., stop: Optional[int] = ... | ||
) -> int: ... | ||
def _reset(self, load: int) -> None: ... |
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If we only care about the minimum one, would it make more sense to track that separately? (Does
SortedSet
have any overhead compared toset
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Potentially, but in practice this change stopped the ID generators from appearing in the profiling, so 🤷