Initial configuration commit

typings/numpy/random/bit_generator.pyi

@@ -0,0 +1,131 @@
+"""
+This type stub file was generated by pyright.
+"""
+
+import abc
+from threading import Lock
+from collections.abc import Callable, Mapping, Sequence
+from typing import Any, Literal, NamedTuple, TypeVar, TypedDict, Union, overload
+from numpy import dtype, ndarray, uint32, uint64
+from numpy._typing import _ArrayLikeInt_co, _ShapeLike, _SupportsDType, _UInt32Codes, _UInt64Codes
+
+_T = TypeVar("_T")
+_DTypeLikeUint32 = Union[dtype[uint32], _SupportsDType[dtype[uint32]], type[uint32], _UInt32Codes,]
+_DTypeLikeUint64 = Union[dtype[uint64], _SupportsDType[dtype[uint64]], type[uint64], _UInt64Codes,]
+class _SeedSeqState(TypedDict):
+    entropy: None | int | Sequence[int]
+    spawn_key: tuple[int, ...]
+    pool_size: int
+    n_children_spawned: int
+    ...
+
+
+class _Interface(NamedTuple):
+    state_address: Any
+    state: Any
+    next_uint64: Any
+    next_uint32: Any
+    next_double: Any
+    bit_generator: Any
+    ...
+
+
+class ISeedSequence(abc.ABC):
+    @abc.abstractmethod
+    def generate_state(self, n_words: int, dtype: _DTypeLikeUint32 | _DTypeLikeUint64 = ...) -> ndarray[Any, dtype[uint32 | uint64]]:
+        ...
+    
+
+
+class ISpawnableSeedSequence(ISeedSequence):
+    @abc.abstractmethod
+    def spawn(self: _T, n_children: int) -> list[_T]:
+        ...
+    
+
+
+class SeedlessSeedSequence(ISpawnableSeedSequence):
+    def generate_state(self, n_words: int, dtype: _DTypeLikeUint32 | _DTypeLikeUint64 = ...) -> ndarray[Any, dtype[uint32 | uint64]]:
+        ...
+    
+    def spawn(self: _T, n_children: int) -> list[_T]:
+        ...
+    
+
+
+class SeedSequence(ISpawnableSeedSequence):
+    entropy: None | int | Sequence[int]
+    spawn_key: tuple[int, ...]
+    pool_size: int
+    n_children_spawned: int
+    pool: ndarray[Any, dtype[uint32]]
+    def __init__(self, entropy: None | int | Sequence[int] | _ArrayLikeInt_co = ..., *, spawn_key: Sequence[int] = ..., pool_size: int = ..., n_children_spawned: int = ...) -> None:
+        ...
+    
+    def __repr__(self) -> str:
+        ...
+    
+    @property
+    def state(self) -> _SeedSeqState:
+        ...
+    
+    def generate_state(self, n_words: int, dtype: _DTypeLikeUint32 | _DTypeLikeUint64 = ...) -> ndarray[Any, dtype[uint32 | uint64]]:
+        ...
+    
+    def spawn(self, n_children: int) -> list[SeedSequence]:
+        ...
+    
+
+
+class BitGenerator(abc.ABC):
+    lock: Lock
+    def __init__(self, seed: None | _ArrayLikeInt_co | SeedSequence = ...) -> None:
+        ...
+    
+    def __getstate__(self) -> dict[str, Any]:
+        ...
+    
+    def __setstate__(self, state: dict[str, Any]) -> None:
+        ...
+    
+    def __reduce__(self) -> tuple[Callable[[str], BitGenerator], tuple[str], tuple[dict[str, Any]]]:
+        ...
+    
+    @abc.abstractmethod
+    @property
+    def state(self) -> Mapping[str, Any]:
+        ...
+    
+    @state.setter
+    def state(self, value: Mapping[str, Any]) -> None:
+        ...
+    
+    @property
+    def seed_seq(self) -> ISeedSequence:
+        ...
+    
+    def spawn(self, n_children: int) -> list[BitGenerator]:
+        ...
+    
+    @overload
+    def random_raw(self, size: None = ..., output: Literal[True] = ...) -> int:
+        ...
+    
+    @overload
+    def random_raw(self, size: _ShapeLike = ..., output: Literal[True] = ...) -> ndarray[Any, dtype[uint64]]:
+        ...
+    
+    @overload
+    def random_raw(self, size: None | _ShapeLike = ..., output: Literal[False] = ...) -> None:
+        ...
+    
+    @property
+    def ctypes(self) -> _Interface:
+        ...
+    
+    @property
+    def cffi(self) -> _Interface:
+        ...
+    
+
+