125 lines
3.5 KiB
Python
125 lines
3.5 KiB
Python
import abc
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from collections.abc import Callable, Mapping, Sequence
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from threading import Lock
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from typing import (
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Any,
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ClassVar,
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Literal,
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NamedTuple,
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Self,
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TypeAlias,
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TypedDict,
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overload,
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type_check_only,
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)
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from _typeshed import Incomplete
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from typing_extensions import CapsuleType
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import numpy as np
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from numpy._typing import (
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NDArray,
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_ArrayLikeInt_co,
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_DTypeLike,
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_ShapeLike,
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_UInt32Codes,
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_UInt64Codes,
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)
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__all__ = ["BitGenerator", "SeedSequence"]
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###
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_DTypeLikeUint_: TypeAlias = _DTypeLike[np.uint32 | np.uint64] | _UInt32Codes | _UInt64Codes
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@type_check_only
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class _SeedSeqState(TypedDict):
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entropy: int | Sequence[int] | None
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spawn_key: tuple[int, ...]
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pool_size: int
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n_children_spawned: int
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@type_check_only
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class _Interface(NamedTuple):
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state_address: Incomplete
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state: Incomplete
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next_uint64: Incomplete
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next_uint32: Incomplete
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next_double: Incomplete
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bit_generator: Incomplete
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@type_check_only
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class _CythonMixin:
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def __setstate_cython__(self, pyx_state: object, /) -> None: ...
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def __reduce_cython__(self) -> Any: ... # noqa: ANN401
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@type_check_only
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class _GenerateStateMixin(_CythonMixin):
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def generate_state(self, /, n_words: int, dtype: _DTypeLikeUint_ = ...) -> NDArray[np.uint32 | np.uint64]: ...
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###
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class ISeedSequence(abc.ABC):
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@abc.abstractmethod
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def generate_state(self, /, n_words: int, dtype: _DTypeLikeUint_ = ...) -> NDArray[np.uint32 | np.uint64]: ...
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class ISpawnableSeedSequence(ISeedSequence, abc.ABC):
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@abc.abstractmethod
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def spawn(self, /, n_children: int) -> list[Self]: ...
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class SeedlessSeedSequence(_GenerateStateMixin, ISpawnableSeedSequence):
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def spawn(self, /, n_children: int) -> list[Self]: ...
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class SeedSequence(_GenerateStateMixin, ISpawnableSeedSequence):
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__pyx_vtable__: ClassVar[CapsuleType] = ...
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entropy: int | Sequence[int] | None
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spawn_key: tuple[int, ...]
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pool_size: int
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n_children_spawned: int
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pool: NDArray[np.uint32]
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def __init__(
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self,
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/,
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entropy: _ArrayLikeInt_co | None = None,
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*,
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spawn_key: Sequence[int] = (),
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pool_size: int = 4,
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n_children_spawned: int = ...,
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) -> None: ...
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def spawn(self, /, n_children: int) -> list[Self]: ...
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@property
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def state(self) -> _SeedSeqState: ...
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class BitGenerator(_CythonMixin, abc.ABC):
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lock: Lock
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@property
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def state(self) -> Mapping[str, Any]: ...
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@state.setter
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def state(self, value: Mapping[str, Any], /) -> None: ...
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@property
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def seed_seq(self) -> ISeedSequence: ...
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@property
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def ctypes(self) -> _Interface: ...
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@property
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def cffi(self) -> _Interface: ...
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@property
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def capsule(self) -> CapsuleType: ...
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#
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def __init__(self, /, seed: _ArrayLikeInt_co | SeedSequence | None = None) -> None: ...
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def __reduce__(self) -> tuple[Callable[[str], Self], tuple[str], tuple[Mapping[str, Any], ISeedSequence]]: ...
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def spawn(self, /, n_children: int) -> list[Self]: ...
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def _benchmark(self, /, cnt: int, method: str = "uint64") -> None: ...
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#
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@overload
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def random_raw(self, /, size: None = None, output: Literal[True] = True) -> int: ...
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@overload
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def random_raw(self, /, size: _ShapeLike, output: Literal[True] = True) -> NDArray[np.uint64]: ...
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@overload
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def random_raw(self, /, size: _ShapeLike | None, output: Literal[False]) -> None: ...
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@overload
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def random_raw(self, /, size: _ShapeLike | None = None, *, output: Literal[False]) -> None: ...
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