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-rw-r--r--Doc/library/multiprocessing.rst28
1 files changed, 14 insertions, 14 deletions
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
index d8a554d..1ae7419 100644
--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -472,7 +472,7 @@ into Python 2.5's :class:`queue.Queue` class.
If you use :class:`JoinableQueue` then you **must** call
:meth:`JoinableQueue.task_done` for each task removed from the queue or else the
-semaphore used to count the number of unfinished tasks may eventually overflow
+semaphore used to count the number of unfinished tasks may eventually overflow,
raising an exception.
Note that one can also create a shared queue by using a manager object -- see
@@ -490,7 +490,7 @@ Note that one can also create a shared queue by using a manager object -- see
If a process is killed using :meth:`Process.terminate` or :func:`os.kill`
while it is trying to use a :class:`Queue`, then the data in the queue is
- likely to become corrupted. This may cause any other processes to get an
+ likely to become corrupted. This may cause any other process to get an
exception when it tries to use the queue later on.
.. warning::
@@ -692,7 +692,7 @@ Miscellaneous
(By default :data:`sys.executable` is used). Embedders will probably need to
do some thing like ::
- setExecutable(os.path.join(sys.exec_prefix, 'pythonw.exe'))
+ set_executable(os.path.join(sys.exec_prefix, 'pythonw.exe'))
before they can create child processes. (Windows only)
@@ -711,7 +711,7 @@ Connection Objects
Connection objects allow the sending and receiving of picklable objects or
strings. They can be thought of as message oriented connected sockets.
-Connection objects usually created using :func:`Pipe` -- see also
+Connection objects are usually created using :func:`Pipe` -- see also
:ref:`multiprocessing-listeners-clients`.
.. class:: Connection
@@ -732,7 +732,7 @@ Connection objects usually created using :func:`Pipe` -- see also
.. method:: fileno()
- Returns the file descriptor or handle used by the connection.
+ Return the file descriptor or handle used by the connection.
.. method:: close()
@@ -756,7 +756,7 @@ Connection objects usually created using :func:`Pipe` -- see also
If *offset* is given then data is read from that position in *buffer*. If
*size* is given then that many bytes will be read from buffer. Very large
buffers (approximately 32 MB+, though it depends on the OS) may raise a
- ValueError exception
+ :exc:`ValueError` exception
.. method:: recv_bytes([maxlength])
@@ -1329,7 +1329,7 @@ Customized managers
>>>>>>>>>>>>>>>>>>>
To create one's own manager, one creates a subclass of :class:`BaseManager` and
-use the :meth:`~BaseManager.register` classmethod to register new types or
+uses the :meth:`~BaseManager.register` classmethod to register new types or
callables with the manager class. For example::
from multiprocessing.managers import BaseManager
@@ -1580,9 +1580,9 @@ with the :class:`Pool` class.
.. method:: apply(func[, args[, kwds]])
Call *func* with arguments *args* and keyword arguments *kwds*. It blocks
- till the result is ready. Given this blocks, :meth:`apply_async` is better
- suited for performing work in parallel. Additionally, the passed in
- function is only executed in one of the workers of the pool.
+ until the result is ready. Given this blocks, :meth:`apply_async` is
+ better suited for performing work in parallel. Additionally, *func*
+ is only executed in one of the workers of the pool.
.. method:: apply_async(func[, args[, kwds[, callback[, error_callback]]]])
@@ -1603,7 +1603,7 @@ with the :class:`Pool` class.
.. method:: map(func, iterable[, chunksize])
A parallel equivalent of the :func:`map` built-in function (it supports only
- one *iterable* argument though). It blocks till the result is ready.
+ one *iterable* argument though). It blocks until the result is ready.
This method chops the iterable into a number of chunks which it submits to
the process pool as separate tasks. The (approximate) size of these
@@ -2060,7 +2060,7 @@ Better to inherit than pickle/unpickle
On Windows many types from :mod:`multiprocessing` need to be picklable so
that child processes can use them. However, one should generally avoid
sending shared objects to other processes using pipes or queues. Instead
- you should arrange the program so that a process which need access to a
+ you should arrange the program so that a process which needs access to a
shared resource created elsewhere can inherit it from an ancestor process.
Avoid terminating processes
@@ -2139,7 +2139,7 @@ Explicitly pass resources to child processes
for i in range(10):
Process(target=f, args=(lock,)).start()
-Beware replacing sys.stdin with a "file like object"
+Beware of replacing :data:`sys.stdin` with a "file like object"
:mod:`multiprocessing` originally unconditionally called::
@@ -2257,7 +2257,7 @@ Synchronization types like locks, conditions and queues:
An example showing how to use queues to feed tasks to a collection of worker
-process and collect the results:
+processes and collect the results:
.. literalinclude:: ../includes/mp_workers.py