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Name	Size	Permission
__pycache__	[ DIR ]	drwxr-xr-x
brain_argparse.py	1 KB	-rw-r--r--
brain_attrs.py	1.86 KB	-rw-r--r--
brain_builtin_inference.py	26.28 KB	-rw-r--r--
brain_collections.py	2.76 KB	-rw-r--r--
brain_curses.py	3.23 KB	-rw-r--r--
brain_dateutil.py	795 B	-rw-r--r--
brain_fstrings.py	2.07 KB	-rw-r--r--
brain_functools.py	6.16 KB	-rw-r--r--
brain_gi.py	6.65 KB	-rw-r--r--
brain_hashlib.py	2.11 KB	-rw-r--r--
brain_io.py	1.44 KB	-rw-r--r--
brain_mechanize.py	889 B	-rw-r--r--
brain_multiprocessing.py	3.04 KB	-rw-r--r--
brain_namedtuple_enum.py	13.7 KB	-rw-r--r--
brain_nose.py	2.16 KB	-rw-r--r--
brain_numpy.py	14.44 KB	-rw-r--r--
brain_pkg_resources.py	2.21 KB	-rw-r--r--
brain_pytest.py	2.33 KB	-rw-r--r--
brain_qt.py	2.38 KB	-rw-r--r--
brain_random.py	2.38 KB	-rw-r--r--
brain_re.py	1.1 KB	-rw-r--r--
brain_six.py	6 KB	-rw-r--r--
brain_ssl.py	3.47 KB	-rw-r--r--
brain_subprocess.py	3.55 KB	-rw-r--r--
brain_threading.py	767 B	-rw-r--r--
brain_typing.py	2.66 KB	-rw-r--r--
brain_uuid.py	564 B	-rw-r--r--

Code Editor : 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/master/COPYING.LESSER

import sys

import astroid
from astroid import exceptions

PY34 = sys.version_info >= (3, 4)

def _multiprocessing_transform():
    module = astroid.parse(
        """
    from multiprocessing.managers import SyncManager
    def Manager():
        return SyncManager()
    """
    )
    if not PY34:
        return module

# On Python 3.4, 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 = astroid.parse(
        """
    from multiprocessing.context import DefaultContext, BaseContext
    default = DefaultContext()
    base = BaseContext()
    """
    )
    try:
        context = next(node["default"].infer())
        base = next(node["base"].infer())
    except exceptions.InferenceError:
        return module

for node in (context, base):
        for key, value in node.locals.items():
            if key.startswith("_"):
                continue

value = value[0]
            if isinstance(value, astroid.FunctionDef):
                # We need to rebound this, since otherwise
                # it will have an extra argument (self).
                value = astroid.BoundMethod(value, node)
            module[key] = value
    return module

def _multiprocessing_managers_transform():
    return astroid.parse(
        """
    import array
    import threading
    import multiprocessing.pool as pool

import six

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 = six.moves.queue.Queue
        Event = threading.Event
        RLock = threading.RLock
        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
    """
    )

astroid.register_module_extender(
    astroid.MANAGER, "multiprocessing.managers", _multiprocessing_managers_transform
)
astroid.register_module_extender(
    astroid.MANAGER, "multiprocessing", _multiprocessing_transform
)

${this.title}

Code Editor : brain_multiprocessing.py