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+#
+# Package analogous to 'threading.py' but using processes
+#
+# multiprocessing/__init__.py
+#
+# This package is intended to duplicate the functionality (and much of
+# the API) of threading.py but uses processes instead of threads. A
+# subpackage 'multiprocessing.dummy' has the same API but is a simple
+# wrapper for 'threading'.
+#
+# Try calling `multiprocessing.doc.main()` to read the html
+# documentation in a webbrowser.
+#
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions
+# are met:
+#
+# 1. Redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer.
+# 2. Redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in the
+# documentation and/or other materials provided with the distribution.
+# 3. Neither the name of author nor the names of any contributors may be
+# used to endorse or promote products derived from this software
+# without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND
+# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
+# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
+# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
+# SUCH DAMAGE.
+#
+
+__version__ = '0.70a1'
+
+__all__ = [
+ 'Process', 'current_process', 'active_children', 'freeze_support',
+ 'Manager', 'Pipe', 'cpu_count', 'log_to_stderr', 'get_logger',
+ 'allow_connection_pickling', 'BufferTooShort', 'TimeoutError',
+ 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Condition',
+ 'Event', 'Queue', 'JoinableQueue', 'Pool', 'Value', 'Array',
+ 'RawValue', 'RawArray', 'SUBDEBUG', 'SUBWARNING',
+ ]
+
+__author__ = 'R. Oudkerk (r.m.oudkerk@gmail.com)'
+
+#
+# Imports
+#
+
+import os
+import sys
+
+from multiprocessing.process import Process, current_process, active_children
+from multiprocessing.util import SUBDEBUG, SUBWARNING
+
+#
+# Exceptions
+#
+
+class ProcessError(Exception):
+ pass
+
+class BufferTooShort(ProcessError):
+ pass
+
+class TimeoutError(ProcessError):
+ pass
+
+class AuthenticationError(ProcessError):
+ pass
+
+# This is down here because _multiprocessing uses BufferTooShort
+import _multiprocessing
+
+#
+# Definitions not depending on native semaphores
+#
+
+def Manager():
+ '''
+ Returns a manager associated with a running server process
+
+ The managers methods such as `Lock()`, `Condition()` and `Queue()`
+ can be used to create shared objects.
+ '''
+ from multiprocessing.managers import SyncManager
+ m = SyncManager()
+ m.start()
+ return m
+
+def Pipe(duplex=True):
+ '''
+ Returns two connection object connected by a pipe
+ '''
+ from multiprocessing.connection import Pipe
+ return Pipe(duplex)
+
+def cpu_count():
+ '''
+ Returns the number of CPUs in the system
+ '''
+ if sys.platform == 'win32':
+ try:
+ num = int(os.environ['NUMBER_OF_PROCESSORS'])
+ except (ValueError, KeyError):
+ num = 0
+ elif 'bsd' in sys.platform or sys.platform == 'darwin':
+ comm = '/sbin/sysctl -n hw.ncpu'
+ if sys.platform == 'darwin':
+ comm = '/usr' + comm
+ try:
+ with os.popen(comm) as p:
+ num = int(p.read())
+ except ValueError:
+ num = 0
+ else:
+ try:
+ num = os.sysconf('SC_NPROCESSORS_ONLN')
+ except (ValueError, OSError, AttributeError):
+ num = 0
+
+ if num >= 1:
+ return num
+ else:
+ raise NotImplementedError('cannot determine number of cpus')
+
+def freeze_support():
+ '''
+ Check whether this is a fake forked process in a frozen executable.
+ If so then run code specified by commandline and exit.
+ '''
+ if sys.platform == 'win32' and getattr(sys, 'frozen', False):
+ from multiprocessing.forking import freeze_support
+ freeze_support()
+
+def get_logger():
+ '''
+ Return package logger -- if it does not already exist then it is created
+ '''
+ from multiprocessing.util import get_logger
+ return get_logger()
+
+def log_to_stderr(level=None):
+ '''
+ Turn on logging and add a handler which prints to stderr
+ '''
+ from multiprocessing.util import log_to_stderr
+ return log_to_stderr(level)
+
+def allow_connection_pickling():
+ '''
+ Install support for sending connections and sockets between processes
+ '''
+ from multiprocessing import reduction
+
+#
+# Definitions depending on native semaphores
+#
+
+def Lock():
+ '''
+ Returns a non-recursive lock object
+ '''
+ from multiprocessing.synchronize import Lock
+ return Lock()
+
+def RLock():
+ '''
+ Returns a recursive lock object
+ '''
+ from multiprocessing.synchronize import RLock
+ return RLock()
+
+def Condition(lock=None):
+ '''
+ Returns a condition object
+ '''
+ from multiprocessing.synchronize import Condition
+ return Condition(lock)
+
+def Semaphore(value=1):
+ '''
+ Returns a semaphore object
+ '''
+ from multiprocessing.synchronize import Semaphore
+ return Semaphore(value)
+
+def BoundedSemaphore(value=1):
+ '''
+ Returns a bounded semaphore object
+ '''
+ from multiprocessing.synchronize import BoundedSemaphore
+ return BoundedSemaphore(value)
+
+def Event():
+ '''
+ Returns an event object
+ '''
+ from multiprocessing.synchronize import Event
+ return Event()
+
+def Queue(maxsize=0):
+ '''
+ Returns a queue object
+ '''
+ from multiprocessing.queues import Queue
+ return Queue(maxsize)
+
+def JoinableQueue(maxsize=0):
+ '''
+ Returns a queue object
+ '''
+ from multiprocessing.queues import JoinableQueue
+ return JoinableQueue(maxsize)
+
+def Pool(processes=None, initializer=None, initargs=(), maxtasksperchild=None):
+ '''
+ Returns a process pool object
+ '''
+ from multiprocessing.pool import Pool
+ return Pool(processes, initializer, initargs, maxtasksperchild)
+
+def RawValue(typecode_or_type, *args):
+ '''
+ Returns a shared object
+ '''
+ from multiprocessing.sharedctypes import RawValue
+ return RawValue(typecode_or_type, *args)
+
+def RawArray(typecode_or_type, size_or_initializer):
+ '''
+ Returns a shared array
+ '''
+ from multiprocessing.sharedctypes import RawArray
+ return RawArray(typecode_or_type, size_or_initializer)
+
+def Value(typecode_or_type, *args, **kwds):
+ '''
+ Returns a synchronized shared object
+ '''
+ from multiprocessing.sharedctypes import Value
+ return Value(typecode_or_type, *args, **kwds)
+
+def Array(typecode_or_type, size_or_initializer, **kwds):
+ '''
+ Returns a synchronized shared array
+ '''
+ from multiprocessing.sharedctypes import Array
+ return Array(typecode_or_type, size_or_initializer, **kwds)
+
+#
+#
+#
+
+if sys.platform == 'win32':
+
+ def set_executable(executable):
+ '''
+ Sets the path to a python.exe or pythonw.exe binary used to run
+ child processes on Windows instead of sys.executable.
+ Useful for people embedding Python.
+ '''
+ from multiprocessing.forking import set_executable
+ set_executable(executable)
+
+ __all__ += ['set_executable']