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


Current_dir [ 𝗡𝗢𝗧 𝗪𝗥𝗜𝗧𝗘𝗔𝗕𝗟𝗘 ] Document_root [ 𝗪𝗥𝗜𝗧𝗘𝗔𝗕𝗟𝗘 ]


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__init__.py
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brain_argparse.py
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brain_attrs.py
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brain_boto3.py
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brain_builtin_inference.py
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brain_collections.py
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brain_crypt.py
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brain_ctypes.py
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brain_curses.py
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brain_dataclasses.py
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brain_dateutil.py
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brain_fstrings.py
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brain_functools.py
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brain_gi.py
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brain_hashlib.py
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brain_http.py
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brain_hypothesis.py
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brain_io.py
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brain_mechanize.py
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brain_multiprocessing.py
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brain_namedtuple_enum.py
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brain_nose.py
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brain_numpy_core_einsumfunc.py
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brain_numpy_core_fromnumeric.py
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brain_numpy_core_function_base.py
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brain_numpy_core_multiarray.py
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brain_numpy_core_numeric.py
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brain_numpy_core_numerictypes.py
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brain_numpy_core_umath.py
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brain_numpy_ma.py
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brain_numpy_ndarray.py
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brain_numpy_random_mtrand.py
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brain_numpy_utils.py
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brain_pathlib.py
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brain_pkg_resources.py
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brain_pytest.py
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brain_qt.py
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brain_random.py
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brain_re.py
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brain_regex.py
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brain_responses.py
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brain_scipy_signal.py
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brain_signal.py
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brain_six.py
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brain_sqlalchemy.py
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brain_ssl.py
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brain_subprocess.py
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brain_threading.py
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brain_type.py
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brain_typing.py
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brain_unittest.py
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brain_uuid.py
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helpers.py
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