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]: ...
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