FM / lib

/opt/imh-python/lib/python3.9/site-packages/numpy/lib/

/opt/imh-python/lib/python3.9/site-packages/numpy/lib

Name	Size	Mode	Actions
tests/	-	0755	rm
__pycache__/	-	0755	rm
arraypad.py	31803	0644	edit dl rm
arraypad.pyi	1728	0644	edit dl rm
arraysetops.py	33655	0644	edit dl rm
arraysetops.pyi	8372	0644	edit dl rm
arrayterator.py	7063	0644	edit dl rm
arrayterator.pyi	1537	0644	edit dl rm
format.py	34769	0644	edit dl rm
format.pyi	748	0644	edit dl rm
function_base.py	189103	0644	edit dl rm
function_base.pyi	16585	0644	edit dl rm
histograms.py	37778	0644	edit dl rm
histograms.pyi	995	0644	edit dl rm
index_tricks.py	31346	0644	edit dl rm
index_tricks.pyi	4251	0644	edit dl rm
mixins.py	7071	0644	edit dl rm
mixins.pyi	3117	0644	edit dl rm
nanfunctions.py	65775	0644	edit dl rm
nanfunctions.pyi	606	0644	edit dl rm
npyio.py	97316	0644	edit dl rm
npyio.pyi	9728	0644	edit dl rm
polynomial.py	44133	0644	edit dl rm
polynomial.pyi	6958	0644	edit dl rm
recfunctions.py	59423	0644	edit dl rm
scimath.py	15037	0644	edit dl rm
scimath.pyi	2883	0644	edit dl rm
setup.py	405	0644	edit dl rm
shape_base.py	38947	0644	edit dl rm
shape_base.pyi	5341	0644	edit dl rm
stride_tricks.py	17911	0644	edit dl rm
stride_tricks.pyi	1747	0644	edit dl rm
twodim_base.py	32947	0644	edit dl rm
twodim_base.pyi	5370	0644	edit dl rm
type_check.py	19954	0644	edit dl rm
type_check.pyi	5571	0644	edit dl rm
ufunclike.py	6325	0644	edit dl rm
ufunclike.pyi	1293	0644	edit dl rm
user_array.py	7721	0644	edit dl rm
utils.py	37804	0644	edit dl rm
utils.pyi	2360	0644	edit dl rm
_datasource.py	22631	0644	edit dl rm
_iotools.py	30868	0644	edit dl rm
_version.py	4855	0644	edit dl rm
_version.pyi	633	0644	edit dl rm
__init__.py	2713	0644	edit dl rm
__init__.pyi	5596	0644	edit dl rm

Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/lib/shape_base.pyi (5341B)

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

if sys.version_info >= (3, 10):
    from typing import ParamSpec, Concatenate
else:
    from typing_extensions import ParamSpec, Concatenate

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

_P = ParamSpec("_P")
_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: ...

@overload
def apply_along_axis(
    func1d: Callable[Concatenate[NDArray[Any], _P], _ArrayLike[_SCT]],
    axis: SupportsIndex,
    arr: ArrayLike,
    *args: _P.args,
    **kwargs: _P.kwargs,
) -> NDArray[_SCT]: ...
@overload
def apply_along_axis(
    func1d: Callable[Concatenate[NDArray[Any], _P], ArrayLike],
    axis: SupportsIndex,
    arr: ArrayLike,
    *args: _P.args,
    **kwargs: _P.kwargs,
) -> 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]: ...

import sys from collections.abc import Callable, Sequence from typing import TypeVar, Any, overload, SupportsIndex, Protocol if sys.version_info >= (3, 10): from typing import ParamSpec, Concatenate else: from typing_extensions import ParamSpec, Concatenate 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 _P = ParamSpec("_P") _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: ... @overload def apply_along_axis( func1d: Callable[Concatenate[NDArray[Any], _P], _ArrayLike[_SCT]], axis: SupportsIndex, arr: ArrayLike, *args: _P.args, **kwargs: _P.kwargs, ) -> NDArray[_SCT]: ... @overload def apply_along_axis( func1d: Callable[Concatenate[NDArray[Any], _P], ArrayLike], axis: SupportsIndex, arr: ArrayLike, *args: _P.args, **kwargs: _P.kwargs, ) -> 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]: ...