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__init__.py
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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_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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Edit: brain_multiprocessing.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 from astroid.bases import BoundMethod from astroid.brain.helpers import register_module_extender from astroid.builder import parse from astroid.exceptions import InferenceError from astroid.manager import AstroidManager from astroid.nodes.scoped_nodes import FunctionDef def _multiprocessing_transform(): module = parse( """ from multiprocessing.managers import SyncManager def Manager(): return SyncManager() """ ) # Multiprocessing uses a getattr lookup inside contexts, # in order to get the attributes they need. Since it's extremely # dynamic, we use this approach to fake it. node = parse( """ from multiprocessing.context import DefaultContext, BaseContext default = DefaultContext() base = BaseContext() """ ) try: context = next(node["default"].infer()) base = next(node["base"].infer()) except (InferenceError, StopIteration): return module for node in (context, base): for key, value in node.locals.items(): if key.startswith("_"): continue value = value[0] if isinstance(value, FunctionDef): # We need to rebound this, since otherwise # it will have an extra argument (self). value = BoundMethod(value, node) module[key] = value return module def _multiprocessing_managers_transform(): return parse( """ import array import threading import multiprocessing.pool as pool import queue class Namespace(object): pass class Value(object): def __init__(self, typecode, value, lock=True): self._typecode = typecode self._value = value def get(self): return self._value def set(self, value): self._value = value def __repr__(self): return '%s(%r, %r)'%(type(self).__name__, self._typecode, self._value) value = property(get, set) def Array(typecode, sequence, lock=True): return array.array(typecode, sequence) class SyncManager(object): Queue = JoinableQueue = queue.Queue Event = threading.Event RLock = threading.RLock Lock = threading.Lock BoundedSemaphore = threading.BoundedSemaphore Condition = threading.Condition Barrier = threading.Barrier Pool = pool.Pool list = list dict = dict Value = Value Array = Array Namespace = Namespace __enter__ = lambda self: self __exit__ = lambda *args: args def start(self, initializer=None, initargs=None): pass def shutdown(self): pass """ ) register_module_extender( AstroidManager(), "multiprocessing.managers", _multiprocessing_managers_transform ) register_module_extender( AstroidManager(), "multiprocessing", _multiprocessing_transform )
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