download
raw
822 Bytes
from typing import TypedDict, type_check_only
from numpy import uint32
from numpy._typing import _ArrayLikeInt_co
from numpy.random.bit_generator import BitGenerator, SeedSequence
from numpy.typing import NDArray
__all__ = ["MT19937"]
@type_check_only
class _MT19937Internal(TypedDict):
key: NDArray[uint32]
pos: int
@type_check_only
class _MT19937State(TypedDict):
bit_generator: str
state: _MT19937Internal
class MT19937(BitGenerator):
def __init__(self, seed: _ArrayLikeInt_co | SeedSequence | None = ...) -> None: ...
def _legacy_seeding(self, seed: _ArrayLikeInt_co) -> None: ...
def jumped(self, jumps: int = 1) -> MT19937: ...
@property # type: ignore[override]
def state(self) -> _MT19937State: ...
@state.setter
def state(self, value: _MT19937State) -> None: ...

Xet Storage Details

Size:
822 Bytes
·
Xet hash:
dde19ad95acf2daa2467b7ee5b099c5d27d00d314c8761ce200cf2323093883f

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.