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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: shape_base.pyi

from collections.abc import Sequence
from typing import TypeVar, overload, Any, SupportsIndex

from numpy import generic, _CastingKind
from numpy._typing import (
    NDArray,
    ArrayLike,
    DTypeLike,
    _ArrayLike,
    _DTypeLike,
)

_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])

__all__: list[str]

@overload
def atleast_1d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_1d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_1d(*arys: ArrayLike) -> list[NDArray[Any]]: ...

@overload
def atleast_2d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_2d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_2d(*arys: ArrayLike) -> list[NDArray[Any]]: ...

@overload
def atleast_3d(arys: _ArrayLike[_SCT], /) -> NDArray[_SCT]: ...
@overload
def atleast_3d(arys: ArrayLike, /) -> NDArray[Any]: ...
@overload
def atleast_3d(*arys: ArrayLike) -> list[NDArray[Any]]: ...

@overload
def vstack(
    tup: Sequence[_ArrayLike[_SCT]],
    *,
    dtype: None = ...,
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def vstack(
    tup: Sequence[ArrayLike],
    *,
    dtype: _DTypeLike[_SCT],
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def vstack(
    tup: Sequence[ArrayLike],
    *,
    dtype: DTypeLike = ...,
    casting: _CastingKind = ...
) -> NDArray[Any]: ...

@overload
def hstack(
    tup: Sequence[_ArrayLike[_SCT]],
    *,
    dtype: None = ...,
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def hstack(
    tup: Sequence[ArrayLike],
    *,
    dtype: _DTypeLike[_SCT],
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def hstack(
    tup: Sequence[ArrayLike],
    *,
    dtype: DTypeLike = ...,
    casting: _CastingKind = ...
) -> NDArray[Any]: ...

@overload
def stack(
    arrays: Sequence[_ArrayLike[_SCT]],
    axis: SupportsIndex = ...,
    out: None = ...,
    *,
    dtype: None = ...,
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def stack(
    arrays: Sequence[ArrayLike],
    axis: SupportsIndex = ...,
    out: None = ...,
    *,
    dtype: _DTypeLike[_SCT],
    casting: _CastingKind = ...
) -> NDArray[_SCT]: ...
@overload
def stack(
    arrays: Sequence[ArrayLike],
    axis: SupportsIndex = ...,
    out: None = ...,
    *,
    dtype: DTypeLike = ...,
    casting: _CastingKind = ...
) -> NDArray[Any]: ...
@overload
def stack(
    arrays: Sequence[ArrayLike],
    axis: SupportsIndex = ...,
    out: _ArrayType = ...,
    *,
    dtype: DTypeLike = ...,
    casting: _CastingKind = ...
) -> _ArrayType: ...

@overload
def block(arrays: _ArrayLike[_SCT]) -> NDArray[_SCT]: ...
@overload
def block(arrays: ArrayLike) -> NDArray[Any]: ...

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