Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/numpy/random/_sfc64.pyi

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2023-09-20 19:46:58 +02:00
from typing import Any, TypedDict
from numpy import dtype as dtype
from numpy import ndarray as ndarray
from numpy import uint64
from numpy.random.bit_generator import BitGenerator, SeedSequence
from numpy._typing import _ArrayLikeInt_co
class _SFC64Internal(TypedDict):
state: ndarray[Any, dtype[uint64]]
class _SFC64State(TypedDict):
bit_generator: str
state: _SFC64Internal
has_uint32: int
uinteger: int
class SFC64(BitGenerator):
def __init__(self, seed: None | _ArrayLikeInt_co | SeedSequence = ...) -> None: ...
@property
def state(
self,
) -> _SFC64State: ...
@state.setter
def state(
self,
value: _SFC64State,
) -> None: ...