/
opt
/
imh-python
/
lib
/
python3.9
/
site-packages
/
astroid
/
brain
/
/opt/imh-python/lib/python3.9/site-packages/astroid/brain
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__pycache__/
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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_datetime.py
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brain_dateutil.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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__init__.py
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Edit:
/opt/imh-python/lib/python3.9/site-packages/astroid/brain/brain_numpy_utils.py
(2553B)
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/pylint-dev/astroid/blob/main/LICENSE # Copyright (c) https://github.com/pylint-dev/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 # 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 name_looks_like_numpy_member(member_name: str, node: Name) -> bool: """ Returns True if the Name is a member of numpy whose name is member_name. """ return node.name == member_name and node.root().name.startswith("numpy") def attribute_looks_like_numpy_member(member_name: str, node: Attribute) -> bool: """ Returns True if the Attribute is a member of numpy whose name is member_name. """ return ( node.attrname == member_name and isinstance(node.expr, Name) and _is_a_numpy_module(node.expr) )
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