Remove trailing whitespace.

1 files changed, 18 insertions, 18 deletions

diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
index 1d95999..ec27be0 100644
--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -21,9 +21,9 @@ Windows.
 .. warning::
 
     Some of this package's functionality requires a functioning shared semaphore
-    implementation on the host operating system. Without one, the 
-    :mod:`multiprocessing.synchronize` module will be disabled, and attempts to 
-    import it will result in an :exc:`ImportError`. See 
+    implementation on the host operating system. Without one, the
+    :mod:`multiprocessing.synchronize` module will be disabled, and attempts to
+    import it will result in an :exc:`ImportError`. See
     :issue:`3770` for additional information.
 
 .. note::
@@ -38,7 +38,7 @@ Windows.
         >>> p = Pool(5)
         >>> def f(x):
         ... 	return x*x
-        ... 
+        ...
         >>> p.map(f, [1,2,3])
         Process PoolWorker-1:
         Process PoolWorker-2:
@@ -77,11 +77,11 @@ To show the individual process IDs involved, here is an expanded example::
         print 'module name:', __name__
         print 'parent process:', os.getppid()
         print 'process id:', os.getpid()
-    
+
     def f(name):
         info('function f')
         print 'hello', name
-    
+
     if __name__ == '__main__':
         info('main line')
         p = Process(target=f, args=('bob',))
@@ -543,7 +543,7 @@ For an example of the usage of queues for interprocess communication see
 
    .. method:: put(item[, block[, timeout]])
 
-      Put item into the queue.  If the optional argument *block* is ``True`` 
+      Put item into the queue.  If the optional argument *block* is ``True``
       (the default) and *timeout* is ``None`` (the default), block if necessary until
       a free slot is available.  If *timeout* is a positive number, it blocks at
       most *timeout* seconds and raises the :exc:`Queue.Full` exception if no
@@ -858,7 +858,7 @@ object -- see :ref:`multiprocessing-managers`.
    acceptable.  If *block* is ``True`` and *timeout* is not ``None`` then it
    specifies a timeout in seconds.  If *block* is ``False`` then *timeout* is
    ignored.
-   
+
    Note that on OS/X ``sem_timedwait`` is unsupported, so timeout arguments
    for these will be ignored.
 
@@ -1135,22 +1135,22 @@ their parent process exits.  The manager classes are defined in the
       server process which is using the given address and authentication key.
 
    .. method:: get_server()
-      
+
       Returns a :class:`Server` object which represents the actual server under
-      the control of the Manager. The :class:`Server` object supports the 
+      the control of the Manager. The :class:`Server` object supports the
       :meth:`serve_forever` method:
-      
+
       >>> from multiprocessing.managers import BaseManager
       >>> m = BaseManager(address=('', 50000), authkey='abc'))
       >>> server = m.get_server()
       >>> s.serve_forever()
-       
+
       :class:`Server` additionally have an :attr:`address` attribute.
 
    .. method:: connect()
-   
+
       Connect a local manager object to a remote manager process:
-      
+
       >>> from multiprocessing.managers import BaseManager
       >>> m = BaseManager(address='127.0.0.1', authkey='abc))
       >>> m.connect()
@@ -1360,7 +1360,7 @@ Another client can also use it::
    >>> queue.get()
    'hello'
 
-Local processes can also access that queue, using the code from above on the 
+Local processes can also access that queue, using the code from above on the
 client to access it remotely::
 
     >>> from multiprocessing import Process, Queue
@@ -1371,12 +1371,12 @@ client to access it remotely::
     ...         super(Worker, self).__init__()
     ...     def run(self):
     ...         self.q.put('local hello')
-    ... 
+    ...
     >>> queue = Queue()
     >>> w = Worker(queue)
     >>> w.start()
     >>> class QueueManager(BaseManager): pass
-    ... 
+    ...
     >>> QueueManager.register('get_queue', callable=lambda: queue)
     >>> m = QueueManager(address=('', 50000), authkey='abracadabra')
     >>> s = m.get_server()
@@ -2120,7 +2120,7 @@ Some simple benchmarks comparing :mod:`multiprocessing` with :mod:`threading`:
 .. literalinclude:: ../includes/mp_benchmarks.py
 
 An example/demo of how to use the :class:`managers.SyncManager`, :class:`Process`
-and others to build a system which can distribute processes and work via a 
+and others to build a system which can distribute processes and work via a
 distributed queue to a "cluster" of machines on a network, accessible via SSH.
 You will need to have private key authentication for all hosts configured for
 this to work.