| 123456789101112131415161718192021222324252627282930 |
- from typing import Any, TypeVar, overload, Generic
- import ctypes as ct
- from numpy import ndarray
- from numpy.ctypeslib import c_intp
- _CastT = TypeVar("_CastT", bound=ct._CanCastTo) # Copied from `ctypes.cast`
- _CT = TypeVar("_CT", bound=ct._CData)
- _PT = TypeVar("_PT", bound=None | int)
- # TODO: Let the likes of `shape_as` and `strides_as` return `None`
- # for 0D arrays once we've got shape-support
- class _ctypes(Generic[_PT]):
- @overload
- def __new__(cls, array: ndarray[Any, Any], ptr: None = ...) -> _ctypes[None]: ...
- @overload
- def __new__(cls, array: ndarray[Any, Any], ptr: _PT) -> _ctypes[_PT]: ...
- @property
- def data(self) -> _PT: ...
- @property
- def shape(self) -> ct.Array[c_intp]: ...
- @property
- def strides(self) -> ct.Array[c_intp]: ...
- @property
- def _as_parameter_(self) -> ct.c_void_p: ...
- def data_as(self, obj: type[_CastT]) -> _CastT: ...
- def shape_as(self, obj: type[_CT]) -> ct.Array[_CT]: ...
- def strides_as(self, obj: type[_CT]) -> ct.Array[_CT]: ...
|
