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author | Georg Brandl <georg@python.org> | 2008-11-22 08:54:21 (GMT) |
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committer | Georg Brandl <georg@python.org> | 2008-11-22 08:54:21 (GMT) |
commit | e3d70aed8ef41d321f528016ec58c9b92438a0ac (patch) | |
tree | 353b0b12e73177c0cd6374e6d0386bdcdace3727 /Doc/library | |
parent | 9290503b2af7eed9667aefefd823e058385dc91d (diff) | |
download | cpython-e3d70aed8ef41d321f528016ec58c9b92438a0ac.zip cpython-e3d70aed8ef41d321f528016ec58c9b92438a0ac.tar.gz cpython-e3d70aed8ef41d321f528016ec58c9b92438a0ac.tar.bz2 |
Fix two mp doc issues from #4012.
Diffstat (limited to 'Doc/library')
-rw-r--r-- | Doc/library/multiprocessing.rst | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst index e15ff4d..8ea561f 100644 --- a/Doc/library/multiprocessing.rst +++ b/Doc/library/multiprocessing.rst @@ -232,7 +232,7 @@ For example:: if __name__ == '__main__': pool = Pool(processes=4) # start 4 worker processes - result = pool.applyAsync(f, [10]) # evaluate "f(10)" asynchronously + result = pool.apply_async(f, [10]) # evaluate "f(10)" asynchronously print(result.get(timeout=1)) # prints "100" unless your computer is *very* slow print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]" @@ -1505,7 +1505,7 @@ with the :class:`Pool` class. The class of the result returned by :meth:`Pool.apply_async` and :meth:`Pool.map_async`. - .. method:: get([timeout) + .. method:: get([timeout]) Return the result when it arrives. If *timeout* is not ``None`` and the result does not arrive within *timeout* seconds then @@ -1535,7 +1535,7 @@ The following example demonstrates the use of a pool:: if __name__ == '__main__': pool = Pool(processes=4) # start 4 worker processes - result = pool.applyAsync(f, (10,)) # evaluate "f(10)" asynchronously + result = pool.apply_async(f, (10,)) # evaluate "f(10)" asynchronously print(result.get(timeout=1)) # prints "100" unless your computer is *very* slow print(pool.map(f, range(10))) # prints "[0, 1, 4,..., 81]" @@ -1546,7 +1546,7 @@ The following example demonstrates the use of a pool:: print(it.next(timeout=1)) # prints "4" unless your computer is *very* slow import time - result = pool.applyAsync(time.sleep, (10,)) + result = pool.apply_async(time.sleep, (10,)) print(result.get(timeout=1)) # raises TimeoutError |