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Files and Folders in: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/lib

NameTypeSizeLast ModifiedActions
__pycache__ Directory - -
tests Directory - -
__init__.py File 2763 bytes April 17 2025 13:10:58.
__init__.pyi File 5596 bytes April 17 2025 13:10:58.
_datasource.py File 22631 bytes April 17 2025 13:10:58.
_iotools.py File 30868 bytes April 17 2025 13:10:58.
_version.py File 4855 bytes April 17 2025 13:10:58.
_version.pyi File 633 bytes April 17 2025 13:10:58.
arraypad.py File 31803 bytes April 17 2025 13:10:58.
arraypad.pyi File 1728 bytes April 17 2025 13:10:58.
arraysetops.py File 33655 bytes April 17 2025 13:10:58.
arraysetops.pyi File 8337 bytes April 17 2025 13:10:58.
arrayterator.py File 7063 bytes April 17 2025 13:10:58.
arrayterator.pyi File 1537 bytes April 17 2025 13:10:58.
format.py File 34769 bytes April 17 2025 13:10:58.
format.pyi File 748 bytes April 17 2025 13:10:58.
function_base.py File 189103 bytes April 17 2025 13:10:58.
function_base.pyi File 16585 bytes April 17 2025 13:10:58.
histograms.py File 37697 bytes April 17 2025 13:10:58.
histograms.pyi File 995 bytes April 17 2025 13:10:58.
index_tricks.py File 31346 bytes April 17 2025 13:10:58.
index_tricks.pyi File 4251 bytes April 17 2025 13:10:58.
mixins.py File 7071 bytes April 17 2025 13:10:58.
mixins.pyi File 3117 bytes April 17 2025 13:10:58.
nanfunctions.py File 65775 bytes April 17 2025 13:10:58.
nanfunctions.pyi File 606 bytes April 17 2025 13:10:58.
npyio.py File 97316 bytes April 17 2025 13:10:58.
npyio.pyi File 9728 bytes April 17 2025 13:10:58.
polynomial.py File 44133 bytes April 17 2025 13:10:58.
polynomial.pyi File 6958 bytes April 17 2025 13:10:58.
recfunctions.py File 59423 bytes April 17 2025 13:10:58.
scimath.py File 15037 bytes April 17 2025 13:10:58.
scimath.pyi File 2883 bytes April 17 2025 13:10:58.
setup.py File 405 bytes April 17 2025 13:10:58.
shape_base.py File 38947 bytes April 17 2025 13:10:58.
shape_base.pyi File 5184 bytes April 17 2025 13:10:58.
stride_tricks.py File 17911 bytes April 17 2025 13:10:58.
stride_tricks.pyi File 1747 bytes April 17 2025 13:10:58.
twodim_base.py File 32947 bytes April 17 2025 13:10:58.
twodim_base.pyi File 5370 bytes April 17 2025 13:10:58.
type_check.py File 19954 bytes April 17 2025 13:10:58.
type_check.pyi File 5571 bytes April 17 2025 13:10:58.
ufunclike.py File 6325 bytes April 17 2025 13:10:58.
ufunclike.pyi File 1293 bytes April 17 2025 13:10:58.
user_array.py File 7721 bytes April 17 2025 13:10:58.
utils.py File 37804 bytes April 17 2025 13:10:58.
utils.pyi File 2360 bytes April 17 2025 13:10:58.

Reading File: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/lib/utils.pyi

from ast import AST
from collections.abc import Callable, Mapping, Sequence
from typing import (
    Any,
    overload,
    TypeVar,
    Protocol,
)

from numpy import ndarray, generic

from numpy.core.numerictypes import (
    issubclass_ as issubclass_,
    issubdtype as issubdtype,
    issubsctype as issubsctype,
)

_T_contra = TypeVar("_T_contra", contravariant=True)
_FuncType = TypeVar("_FuncType", bound=Callable[..., Any])

# A file-like object opened in `w` mode
class _SupportsWrite(Protocol[_T_contra]):
    def write(self, s: _T_contra, /) -> Any: ...

__all__: list[str]

class _Deprecate:
    old_name: None | str
    new_name: None | str
    message: None | str
    def __init__(
        self,
        old_name: None | str = ...,
        new_name: None | str = ...,
        message: None | str = ...,
    ) -> None: ...
    # NOTE: `__call__` can in principle take arbitrary `*args` and `**kwargs`,
    # even though they aren't used for anything
    def __call__(self, func: _FuncType) -> _FuncType: ...

def get_include() -> str: ...

@overload
def deprecate(
    *,
    old_name: None | str = ...,
    new_name: None | str = ...,
    message: None | str = ...,
) -> _Deprecate: ...
@overload
def deprecate(
    func: _FuncType,
    /,
    old_name: None | str = ...,
    new_name: None | str = ...,
    message: None | str = ...,
) -> _FuncType: ...

def deprecate_with_doc(msg: None | str) -> _Deprecate: ...

# NOTE: In practice `byte_bounds` can (potentially) take any object
# implementing the `__array_interface__` protocol. The caveat is
# that certain keys, marked as optional in the spec, must be present for
#  `byte_bounds`. This concerns `"strides"` and `"data"`.
def byte_bounds(a: generic | ndarray[Any, Any]) -> tuple[int, int]: ...

def who(vardict: None | Mapping[str, ndarray[Any, Any]] = ...) -> None: ...

def info(
    object: object = ...,
    maxwidth: int = ...,
    output: None | _SupportsWrite[str] = ...,
    toplevel: str = ...,
) -> None: ...

def source(
    object: object,
    output: None | _SupportsWrite[str] = ...,
) -> None: ...

def lookfor(
    what: str,
    module: None | str | Sequence[str] = ...,
    import_modules: bool = ...,
    regenerate: bool = ...,
    output: None | _SupportsWrite[str] =...,
) -> None: ...

def safe_eval(source: str | AST) -> Any: ...

def show_runtime() -> None: ...

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