golden hour

/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/lib

File/Folder	Size	Actions
__init__.py	2.7 KB
__init__.pyi	5.46 KB
__pycache__	-
_datasource.py	22.1 KB
_iotools.py	30.14 KB
_version.py	4.74 KB
_version.pyi	633 B
arraypad.py	31.06 KB
arraypad.pyi	1.69 KB
arraysetops.py	32.87 KB
arraysetops.pyi	8.14 KB
arrayterator.py	6.9 KB
arrayterator.pyi	1.5 KB
format.py	33.95 KB
format.pyi	748 B
function_base.py	184.67 KB
function_base.pyi	16.2 KB
histograms.py	36.81 KB
histograms.pyi	995 B
index_tricks.py	30.61 KB
index_tricks.pyi	4.15 KB
mixins.py	6.91 KB
mixins.pyi	3.04 KB
nanfunctions.py	64.23 KB
nanfunctions.pyi	606 B
npyio.py	95.04 KB
npyio.pyi	9.5 KB
polynomial.py	43.1 KB
polynomial.pyi	6.79 KB
recfunctions.py	58.03 KB
scimath.py	14.68 KB
scimath.pyi	2.82 KB
setup.py	405 B
shape_base.py	38.03 KB
shape_base.pyi	5.06 KB
stride_tricks.py	17.49 KB
stride_tricks.pyi	1.71 KB
tests	-
twodim_base.py	32.17 KB
twodim_base.pyi	5.24 KB
type_check.py	19.49 KB
type_check.pyi	5.44 KB
ufunclike.py	6.18 KB
ufunclike.pyi	1.26 KB
user_array.py	7.54 KB
utils.py	36.92 KB
utils.pyi	2.3 KB

Edit: arraypad.pyi

from typing import (
    Literal as L,
    Any,
    overload,
    TypeVar,
    Protocol,
)

from numpy import generic

from numpy._typing import (
    ArrayLike,
    NDArray,
    _ArrayLikeInt,
    _ArrayLike,
)

_SCT = TypeVar("_SCT", bound=generic)

class _ModeFunc(Protocol):
    def __call__(
        self,
        vector: NDArray[Any],
        iaxis_pad_width: tuple[int, int],
        iaxis: int,
        kwargs: dict[str, Any],
        /,
    ) -> None: ...

_ModeKind = L[
    "constant",
    "edge",
    "linear_ramp",
    "maximum",
    "mean",
    "median",
    "minimum",
    "reflect",
    "symmetric",
    "wrap",
    "empty",
]

__all__: list[str]

# TODO: In practice each keyword argument is exclusive to one or more
# specific modes. Consider adding more overloads to express this in the future.

# Expand `**kwargs` into explicit keyword-only arguments
@overload
def pad(
    array: _ArrayLike[_SCT],
    pad_width: _ArrayLikeInt,
    mode: _ModeKind = ...,
    *,
    stat_length: None | _ArrayLikeInt = ...,
    constant_values: ArrayLike = ...,
    end_values: ArrayLike = ...,
    reflect_type: L["odd", "even"] = ...,
) -> NDArray[_SCT]: ...
@overload
def pad(
    array: ArrayLike,
    pad_width: _ArrayLikeInt,
    mode: _ModeKind = ...,
    *,
    stat_length: None | _ArrayLikeInt = ...,
    constant_values: ArrayLike = ...,
    end_values: ArrayLike = ...,
    reflect_type: L["odd", "even"] = ...,
) -> NDArray[Any]: ...
@overload
def pad(
    array: _ArrayLike[_SCT],
    pad_width: _ArrayLikeInt,
    mode: _ModeFunc,
    **kwargs: Any,
) -> NDArray[_SCT]: ...
@overload
def pad(
    array: ArrayLike,
    pad_width: _ArrayLikeInt,
    mode: _ModeFunc,
    **kwargs: Any,
) -> NDArray[Any]: ...