Guido van Rossum
83addc7a0f
Charles Waldman writes:
...
"""
Problem description:
Run the following script:
import test.test_cpickle
for x in xrange(1000000):
reload(test.test_cpickle)
Watch Python's memory use go up up and away!
In the course of debugging this I also saw that cPickle is
inconsistent with pickle - if you attempt a pickle.load or pickle.dump
on a closed file, you get a ValueError, whereas the corresponding
cPickle operations give an IOError. Since cPickle is advertised as
being compatible with pickle, I changed these exceptions to match.
"""
2000-04-21 20:49:36 +00:00
..
2000-03-28 20:29:59 +00:00
1999-01-05 17:16:46 +00:00
2000-02-29 13:59:29 +00:00
2000-04-10 17:06:55 +00:00
2000-03-31 03:29:39 +00:00
2000-02-29 13:59:29 +00:00
2000-02-04 20:33:49 +00:00
2000-02-29 13:59:29 +00:00
2000-02-29 13:59:29 +00:00
2000-02-29 13:59:29 +00:00
1999-12-16 17:52:08 +00:00
2000-02-29 13:59:29 +00:00
1999-03-16 14:17:48 +00:00
2000-04-21 20:49:36 +00:00
2000-02-01 20:12:39 +00:00
2000-04-12 22:04:01 +00:00
2000-02-29 13:59:29 +00:00
1999-01-27 18:04:05 +00:00
2000-02-29 13:59:29 +00:00
1998-12-04 18:50:17 +00:00
1999-04-19 16:50:26 +00:00
1998-12-10 16:49:28 +00:00
2000-02-29 13:59:29 +00:00
1999-08-27 20:39:37 +00:00
1999-01-27 17:53:11 +00:00
1998-10-21 16:10:40 +00:00
1998-12-04 18:50:17 +00:00
1998-12-04 18:50:17 +00:00
2000-03-31 16:56:32 +00:00
1999-04-19 17:54:19 +00:00
2000-03-10 23:12:33 +00:00
1999-05-21 19:18:49 +00:00
1998-12-08 16:27:10 +00:00
2000-02-29 13:59:29 +00:00
2000-04-10 21:34:37 +00:00
2000-02-25 22:23:31 +00:00
2000-02-29 13:59:29 +00:00
2000-02-29 15:52:40 +00:00
1998-12-04 18:50:17 +00:00
2000-04-19 13:54:15 +00:00
2000-02-29 13:59:29 +00:00
2000-04-21 18:54:45 +00:00
2000-02-29 13:59:29 +00:00
1998-12-04 18:50:17 +00:00
2000-04-10 12:46:51 +00:00
2000-02-18 19:16:45 +00:00
1998-12-07 14:28:47 +00:00
2000-02-29 13:59:29 +00:00
2000-02-29 13:59:29 +00:00
1999-04-10 15:48:23 +00:00
2000-02-29 13:59:29 +00:00
1998-12-04 18:50:17 +00:00
2000-02-29 13:59:29 +00:00
2000-02-29 13:59:29 +00:00
2000-03-31 16:56:32 +00:00
2000-02-29 13:59:29 +00:00
1998-12-21 19:32:43 +00:00
2000-04-21 20:33:00 +00:00
2000-02-29 13:59:29 +00:00
2000-03-31 14:59:30 +00:00
2000-03-31 14:59:30 +00:00
1998-12-21 19:32:43 +00:00
2000-03-20 16:36:48 +00:00
2000-02-29 13:59:29 +00:00
1998-10-31 22:52:54 +00:00
2000-02-29 13:59:29 +00:00
1999-01-14 19:31:42 +00:00
2000-02-29 13:59:29 +00:00
2000-03-24 20:35:20 +00:00
1998-12-04 18:50:17 +00:00
1999-11-05 18:11:23 +00:00
2000-03-31 17:26:12 +00:00
2000-03-31 17:26:12 +00:00
2000-03-31 17:26:12 +00:00
2000-02-29 13:59:29 +00:00
2000-04-06 13:20:38 +00:00