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?? ..
?? __init__.py(5.64 KB)
?? __init__.pyi(126 B)
?? __pycache__
?? _add_newdocs.py(204.07 KB)
?? _add_newdocs_scalars.py(11.82 KB)
?? _asarray.py(3.79 KB)
?? _asarray.pyi(1.06 KB)
?? _dtype.py(10.36 KB)
?? _dtype_ctypes.py(3.59 KB)
?? _exceptions.py(5.25 KB)
?? _internal.py(27.68 KB)
?? _internal.pyi(1.01 KB)
?? _machar.py(11.29 KB)
?? _methods.py(8.41 KB)
?? _multiarray_tests.cpython-311-x86_64-linux-gnu.so(171.4 KB)
?? _multiarray_umath.cpython-311-x86_64-linux-gnu.so(6.64 MB)
?? _operand_flag_tests.cpython-311-x86_64-linux-gnu.so(16.55 KB)
?? _rational_tests.cpython-311-x86_64-linux-gnu.so(58.29 KB)
?? _simd.cpython-311-x86_64-linux-gnu.so(2.47 MB)
?? _string_helpers.py(2.79 KB)
?? _struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so(16.65 KB)
?? _type_aliases.py(7.36 KB)
?? _type_aliases.pyi(404 B)
?? _ufunc_config.py(13.62 KB)
?? _ufunc_config.pyi(1.04 KB)
?? _umath_tests.cpython-311-x86_64-linux-gnu.so(41.01 KB)
?? arrayprint.py(62.12 KB)
?? arrayprint.pyi(4.32 KB)
?? cversions.py(347 B)
?? defchararray.py(71.89 KB)
?? defchararray.pyi(9 KB)
?? einsumfunc.py(50.65 KB)
?? einsumfunc.pyi(4.75 KB)
?? fromnumeric.py(125.8 KB)
?? fromnumeric.pyi(22.96 KB)
?? function_base.py(19.37 KB)
?? function_base.pyi(4.61 KB)
?? generate_numpy_api.py(7.47 KB)
?? getlimits.py(25.26 KB)
?? getlimits.pyi(82 B)
?? include
?? lib
?? memmap.py(11.5 KB)
?? memmap.pyi(55 B)
?? multiarray.py(54.78 KB)
?? multiarray.pyi(24.19 KB)
?? numeric.py(75.21 KB)
?? numeric.pyi(13.9 KB)
?? numerictypes.py(17.67 KB)
?? numerictypes.pyi(3.19 KB)
?? overrides.py(6.93 KB)
?? records.py(36.65 KB)
?? records.pyi(5.56 KB)
?? setup.py(47.05 KB)
?? setup_common.py(16.68 KB)
?? shape_base.py(29.05 KB)
?? shape_base.pyi(2.71 KB)
?? tests
?? umath.py(1.99 KB)
?? umath_tests.py(389 B)

Editing: _internal.pyi

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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