golden hour

/opt/cloudlinux/venv/lib/python3.11/site-packages/astroid/brain

File/Folder	Size	Actions
__init__.py	0 B
__pycache__	-
brain_argparse.py	1.52 KB
brain_attrs.py	2.97 KB
brain_boto3.py	1012 B
brain_builtin_inference.py	33.45 KB
brain_collections.py	4.31 KB
brain_crypt.py	863 B
brain_ctypes.py	2.6 KB
brain_curses.py	3.4 KB
brain_dataclasses.py	21.57 KB
brain_dateutil.py	767 B
brain_fstrings.py	2.41 KB
brain_functools.py	5.85 KB
brain_gi.py	7.37 KB
brain_hashlib.py	2.75 KB
brain_http.py	10.39 KB
brain_hypothesis.py	1.69 KB
brain_io.py	1.49 KB
brain_mechanize.py	2.58 KB
brain_multiprocessing.py	3.14 KB
brain_namedtuple_enum.py	22.19 KB
brain_nose.py	2.27 KB
brain_numpy_core_einsumfunc.py	825 B
brain_numpy_core_fromnumeric.py	732 B
brain_numpy_core_function_base.py	1.27 KB
brain_numpy_core_multiarray.py	4.14 KB
brain_numpy_core_numeric.py	1.59 KB
brain_numpy_core_numerictypes.py	8.35 KB
brain_numpy_core_umath.py	4.78 KB
brain_numpy_ma.py	896 B
brain_numpy_ndarray.py	8.79 KB
brain_numpy_random_mtrand.py	3.36 KB
brain_numpy_utils.py	2.58 KB
brain_pathlib.py	1.51 KB
brain_pkg_resources.py	2.15 KB
brain_pytest.py	2.17 KB
brain_qt.py	2.74 KB
brain_random.py	2.82 KB
brain_re.py	2.8 KB
brain_regex.py	3.28 KB
brain_responses.py	1.82 KB
brain_scipy_signal.py	2.22 KB
brain_signal.py	3.79 KB
brain_six.py	7.42 KB
brain_sqlalchemy.py	1009 B
brain_ssl.py	6.4 KB
brain_subprocess.py	2.93 KB
brain_threading.py	870 B
brain_type.py	2.42 KB
brain_typing.py	13.98 KB
brain_unittest.py	1.12 KB
brain_uuid.py	667 B
helpers.py	908 B

Edit: brain_numpy_utils.py

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

"""Different utilities for the numpy brains."""

from __future__ import annotations

from astroid.builder import extract_node
from astroid.context import InferenceContext
from astroid.nodes.node_classes import Attribute, Import, Name, NodeNG

# Class subscript is available in numpy starting with version 1.20.0
NUMPY_VERSION_TYPE_HINTS_SUPPORT = ("1", "20", "0")

def numpy_supports_type_hints() -> bool:
    """Returns True if numpy supports type hints."""
    np_ver = _get_numpy_version()
    return np_ver and np_ver > NUMPY_VERSION_TYPE_HINTS_SUPPORT

def _get_numpy_version() -> tuple[str, str, str]:
    """
    Return the numpy version number if numpy can be imported.

Otherwise returns ('0', '0', '0')
    """
    try:
        import numpy  # pylint: disable=import-outside-toplevel

return tuple(numpy.version.version.split("."))
    except (ImportError, AttributeError):
        return ("0", "0", "0")

def infer_numpy_member(src, node, context: InferenceContext | None = None):
    node = extract_node(src)
    return node.infer(context=context)

def _is_a_numpy_module(node: Name) -> bool:
    """
    Returns True if the node is a representation of a numpy module.

For example in :
        import numpy as np
        x = np.linspace(1, 2)
    The node <Name.np> is a representation of the numpy module.

:param node: node to test
    :return: True if the node is a representation of the numpy module.
    """
    module_nickname = node.name
    potential_import_target = [
        x for x in node.lookup(module_nickname)[1] if isinstance(x, Import)
    ]
    return any(
        ("numpy", module_nickname) in target.names or ("numpy", None) in target.names
        for target in potential_import_target
    )

def looks_like_numpy_member(member_name: str, node: NodeNG) -> bool:
    """
    Returns True if the node is a member of numpy whose
    name is member_name.

:param member_name: name of the member
    :param node: node to test
    :return: True if the node is a member of numpy
    """
    if (
        isinstance(node, Attribute)
        and node.attrname == member_name
        and isinstance(node.expr, Name)
        and _is_a_numpy_module(node.expr)
    ):
        return True
    if (
        isinstance(node, Name)
        and node.name == member_name
        and node.root().name.startswith("numpy")
    ):
        return True
    return False