Buckets:
| from typing import TypedDict, type_check_only | |
| from numpy import uint64 | |
| from numpy._typing import NDArray, _ArrayLikeInt_co | |
| from numpy.random.bit_generator import BitGenerator, SeedSequence | |
| __all__ = ["SFC64"] | |
| @type_check_only | |
| class _SFC64Internal(TypedDict): | |
| state: NDArray[uint64] | |
| @type_check_only | |
| class _SFC64State(TypedDict): | |
| bit_generator: str | |
| state: _SFC64Internal | |
| has_uint32: int | |
| uinteger: int | |
| class SFC64(BitGenerator): | |
| def __init__(self, seed: _ArrayLikeInt_co | SeedSequence | None = ...) -> None: ... | |
| @property # type: ignore[override] | |
| def state(self) -> _SFC64State: ... | |
| @state.setter | |
| def state(self, value: _SFC64State) -> None: ... | |
Xet Storage Details
- Size:
- 691 Bytes
- Xet hash:
- 7ee1b24572633aac6eff7afc478d090a6c55ece795a683dbd05bf92f507a20c8
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.