| Server IP : 62.60.133.156 / Your IP : 216.73.217.51 Web Server : LiteSpeed System : Linux linux24.centraldnserver.com 4.18.0-553.141.2.lve.el8.x86_64 #1 SMP Wed Jul 8 16:10:02 UTC 2026 x86_64 User : mimradmin ( 1166) PHP Version : 7.4.33 Disable Function : show_source, system, shell_exec, passthru, exec, popen, proc_open MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core/ |
Upload File : |
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]: ...