summaryrefslogtreecommitdiffstats
path: root/Lib/multiprocessing
diff options
context:
space:
mode:
Diffstat (limited to 'Lib/multiprocessing')
-rw-r--r--Lib/multiprocessing/pool.py17
1 files changed, 9 insertions, 8 deletions
diff --git a/Lib/multiprocessing/pool.py b/Lib/multiprocessing/pool.py
index 2b3cc59..c077541 100644
--- a/Lib/multiprocessing/pool.py
+++ b/Lib/multiprocessing/pool.py
@@ -261,6 +261,10 @@ class Pool(object):
self._quick_put = self._inqueue._writer.send
self._quick_get = self._outqueue._reader.recv
+ def _check_running(self):
+ if self._state != RUN:
+ raise ValueError("Pool not running")
+
def apply(self, func, args=(), kwds={}):
'''
Equivalent of `func(*args, **kwds)`.
@@ -306,8 +310,7 @@ class Pool(object):
'''
Equivalent of `map()` -- can be MUCH slower than `Pool.map()`.
'''
- if self._state != RUN:
- raise ValueError("Pool not running")
+ self._check_running()
if chunksize == 1:
result = IMapIterator(self._cache)
self._taskqueue.put(
@@ -336,8 +339,7 @@ class Pool(object):
'''
Like `imap()` method but ordering of results is arbitrary.
'''
- if self._state != RUN:
- raise ValueError("Pool not running")
+ self._check_running()
if chunksize == 1:
result = IMapUnorderedIterator(self._cache)
self._taskqueue.put(
@@ -366,8 +368,7 @@ class Pool(object):
'''
Asynchronous version of `apply()` method.
'''
- if self._state != RUN:
- raise ValueError("Pool not running")
+ self._check_running()
result = ApplyResult(self._cache, callback, error_callback)
self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))
return result
@@ -385,8 +386,7 @@ class Pool(object):
'''
Helper function to implement map, starmap and their async counterparts.
'''
- if self._state != RUN:
- raise ValueError("Pool not running")
+ self._check_running()
if not hasattr(iterable, '__len__'):
iterable = list(iterable)
@@ -625,6 +625,7 @@ class Pool(object):
p.join()
def __enter__(self):
+ self._check_running()
return self
def __exit__(self, exc_type, exc_val, exc_tb):