OXIESEC PANEL
- Current Dir:
/
/
var
/
www
/
reader
/
hps
/
faces
/
faces
/
lib
/
python3.10
/
site-packages
/
numpy
/
lib
Server IP: 139.59.38.164
Upload:
Create Dir:
Name
Size
Modified
Perms
📁
..
-
10/26/2024 01:27:22 PM
rwxr-xr-x
📄
__init__.py
2.2 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
__init__.pyi
5.48 KB
10/26/2024 01:27:17 PM
rw-r--r--
📁
__pycache__
-
10/26/2024 01:28:20 PM
rwxr-xr-x
📄
_datasource.py
22.11 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
_iotools.py
30.15 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
_version.py
4.74 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
_version.pyi
633 bytes
10/26/2024 01:27:17 PM
rw-r--r--
📄
arraypad.py
30.63 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
arraypad.pyi
1.69 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
arraysetops.py
32.87 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
arraysetops.pyi
8.14 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
arrayterator.py
6.9 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
arrayterator.pyi
1.5 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
format.py
33.41 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
format.pyi
748 bytes
10/26/2024 01:27:16 PM
rw-r--r--
📄
function_base.py
180.8 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
function_base.pyi
16.2 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
histograms.py
36.81 KB
10/26/2024 01:27:16 PM
rw-r--r--
📄
histograms.pyi
995 bytes
10/26/2024 01:27:16 PM
rw-r--r--
📄
index_tricks.py
30.22 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
index_tricks.pyi
4.14 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
mixins.py
6.89 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
mixins.pyi
3.04 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
nanfunctions.py
64.02 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
nanfunctions.pyi
606 bytes
10/26/2024 01:27:17 PM
rw-r--r--
📄
npyio.py
95.15 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
npyio.pyi
9.39 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
polynomial.py
43.11 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
polynomial.pyi
6.79 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
recfunctions.py
54.93 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
scimath.py
14.68 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
scimath.pyi
2.82 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
setup.py
405 bytes
10/26/2024 01:27:17 PM
rw-r--r--
📄
shape_base.py
38.35 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
shape_base.pyi
5.06 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
stride_tricks.py
17.49 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
stride_tricks.pyi
1.71 KB
10/26/2024 01:27:17 PM
rw-r--r--
📁
tests
-
10/26/2024 01:29:28 PM
rwxr-xr-x
📄
twodim_base.py
30.62 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
twodim_base.pyi
5.24 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
type_check.py
19.46 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
type_check.pyi
5.44 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
ufunclike.py
7.84 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
ufunclike.pyi
1.26 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
user_array.py
7.54 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
utils.py
35.3 KB
10/26/2024 01:27:17 PM
rw-r--r--
📄
utils.pyi
2.3 KB
10/26/2024 01:27:17 PM
rw-r--r--
Editing: shape_base.pyi
Close
from collections.abc import Callable, Sequence from typing import TypeVar, Any, overload, SupportsIndex, Protocol from numpy import ( generic, integer, ufunc, bool_, unsignedinteger, signedinteger, floating, complexfloating, object_, ) from numpy._typing import ( ArrayLike, NDArray, _ShapeLike, _ArrayLike, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeObject_co, ) from numpy.core.shape_base import vstack _SCT = TypeVar("_SCT", bound=generic) # The signatures of `__array_wrap__` and `__array_prepare__` are the same; # give them unique names for the sake of clarity class _ArrayWrap(Protocol): def __call__( self, array: NDArray[Any], context: None | tuple[ufunc, tuple[Any, ...], int] = ..., /, ) -> Any: ... class _ArrayPrepare(Protocol): def __call__( self, array: NDArray[Any], context: None | tuple[ufunc, tuple[Any, ...], int] = ..., /, ) -> Any: ... class _SupportsArrayWrap(Protocol): @property def __array_wrap__(self) -> _ArrayWrap: ... class _SupportsArrayPrepare(Protocol): @property def __array_prepare__(self) -> _ArrayPrepare: ... __all__: list[str] row_stack = vstack def take_along_axis( arr: _SCT | NDArray[_SCT], indices: NDArray[integer[Any]], axis: None | int, ) -> NDArray[_SCT]: ... def put_along_axis( arr: NDArray[_SCT], indices: NDArray[integer[Any]], values: ArrayLike, axis: None | int, ) -> None: ... # TODO: Use PEP 612 `ParamSpec` once mypy supports `Concatenate` # xref python/mypy#8645 @overload def apply_along_axis( func1d: Callable[..., _ArrayLike[_SCT]], axis: SupportsIndex, arr: ArrayLike, *args: Any, **kwargs: Any, ) -> NDArray[_SCT]: ... @overload def apply_along_axis( func1d: Callable[..., ArrayLike], axis: SupportsIndex, arr: ArrayLike, *args: Any, **kwargs: Any, ) -> NDArray[Any]: ... def apply_over_axes( func: Callable[[NDArray[Any], int], NDArray[_SCT]], a: ArrayLike, axes: int | Sequence[int], ) -> NDArray[_SCT]: ... @overload def expand_dims( a: _ArrayLike[_SCT], axis: _ShapeLike, ) -> NDArray[_SCT]: ... @overload def expand_dims( a: ArrayLike, axis: _ShapeLike, ) -> NDArray[Any]: ... @overload def column_stack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ... @overload def column_stack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ... @overload def dstack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ... @overload def dstack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ... @overload def array_split( ary: _ArrayLike[_SCT], indices_or_sections: _ShapeLike, axis: SupportsIndex = ..., ) -> list[NDArray[_SCT]]: ... @overload def array_split( ary: ArrayLike, indices_or_sections: _ShapeLike, axis: SupportsIndex = ..., ) -> list[NDArray[Any]]: ... @overload def split( ary: _ArrayLike[_SCT], indices_or_sections: _ShapeLike, axis: SupportsIndex = ..., ) -> list[NDArray[_SCT]]: ... @overload def split( ary: ArrayLike, indices_or_sections: _ShapeLike, axis: SupportsIndex = ..., ) -> list[NDArray[Any]]: ... @overload def hsplit( ary: _ArrayLike[_SCT], indices_or_sections: _ShapeLike, ) -> list[NDArray[_SCT]]: ... @overload def hsplit( ary: ArrayLike, indices_or_sections: _ShapeLike, ) -> list[NDArray[Any]]: ... @overload def vsplit( ary: _ArrayLike[_SCT], indices_or_sections: _ShapeLike, ) -> list[NDArray[_SCT]]: ... @overload def vsplit( ary: ArrayLike, indices_or_sections: _ShapeLike, ) -> list[NDArray[Any]]: ... @overload def dsplit( ary: _ArrayLike[_SCT], indices_or_sections: _ShapeLike, ) -> list[NDArray[_SCT]]: ... @overload def dsplit( ary: ArrayLike, indices_or_sections: _ShapeLike, ) -> list[NDArray[Any]]: ... @overload def get_array_prepare(*args: _SupportsArrayPrepare) -> _ArrayPrepare: ... @overload def get_array_prepare(*args: object) -> None | _ArrayPrepare: ... @overload def get_array_wrap(*args: _SupportsArrayWrap) -> _ArrayWrap: ... @overload def get_array_wrap(*args: object) -> None | _ArrayWrap: ... @overload def kron(a: _ArrayLikeBool_co, b: _ArrayLikeBool_co) -> NDArray[bool_]: ... # type: ignore[misc] @overload def kron(a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co) -> NDArray[unsignedinteger[Any]]: ... # type: ignore[misc] @overload def kron(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co) -> NDArray[signedinteger[Any]]: ... # type: ignore[misc] @overload def kron(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co) -> NDArray[floating[Any]]: ... # type: ignore[misc] @overload def kron(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]: ... @overload def kron(a: _ArrayLikeObject_co, b: Any) -> NDArray[object_]: ... @overload def kron(a: Any, b: _ArrayLikeObject_co) -> NDArray[object_]: ... @overload def tile( A: _ArrayLike[_SCT], reps: int | Sequence[int], ) -> NDArray[_SCT]: ... @overload def tile( A: ArrayLike, reps: int | Sequence[int], ) -> NDArray[Any]: ...