cpython/Lib/multiprocessing/__init__.py

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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'.
#
# Copyright (c) 2006-2008, R Oudkerk
# Licensed to PSF under a Contributor Agreement.
#
__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', 'Barrier', 'Queue', 'SimpleQueue', 'JoinableQueue', 'Pool',
'Value', 'Array', 'RawValue', 'RawArray', 'SUBDEBUG', 'SUBWARNING',
]
#
# Imports
#
import os
import sys
from multiprocessing.process import Process, current_process, active_children
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from multiprocessing.util import SUBDEBUG, SUBWARNING
#
# Alias for main module -- will be reset by bootstrapping child processes
#
if '__main__' in sys.modules:
sys.modules['__mp_main__'] = sys.modules['__main__']
#
# Exceptions
#
class ProcessError(Exception):
pass
class BufferTooShort(ProcessError):
pass
class TimeoutError(ProcessError):
pass
class AuthenticationError(ProcessError):
pass
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
'''
num = os.cpu_count()
if num is None:
raise NotImplementedError('cannot determine number of cpus')
else:
return num
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
'''
# This is undocumented. In previous versions of multiprocessing
# its only effect was to make socket objects inheritable on Windows.
import multiprocessing.connection
#
# 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 Barrier(parties, action=None, timeout=None):
'''
Returns a barrier object
'''
from multiprocessing.synchronize import Barrier
return Barrier(parties, action, timeout)
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 SimpleQueue():
'''
Returns a queue object
'''
from multiprocessing.queues import SimpleQueue
return SimpleQueue()
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, lock=True):
'''
Returns a synchronized shared object
'''
from multiprocessing.sharedctypes import Value
return Value(typecode_or_type, *args, lock=lock)
def Array(typecode_or_type, size_or_initializer, *, lock=True):
'''
Returns a synchronized shared array
'''
from multiprocessing.sharedctypes import Array
return Array(typecode_or_type, size_or_initializer, lock=lock)
#
#
#
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']