klankschap <[email protected]> added the comment: On 18 Feb 2013, at 17:31, Armin Rigo wrote:
> > Armin Rigo <[email protected]> added the comment: > > klankschap: you need to give us more information, ideally a way to reproduce > it > (e.g. the complete script you're running). As i mentioned, it appears randomly. No way to reproduce. It just seems to happen when i have more tasks in the pool then i have processors. With 4 cores (8 virtual cores) installed: nrTask = 32 taskSeeds = [random.random() for i in range(nrTask)] pool = multiprocessing.Pool() for iid,s in enumerate(taskSeeds): arg = ( iid, s, G ) pool.apply_async(task, args=arg, callback=log_result) pool.close() pool.join() With nrTasks larger then 8 it is more likely to happen. .F ________________________________________ PyPy bug tracker <[email protected]> <https://bugs.pypy.org/issue629> ________________________________________ _______________________________________________ pypy-issue mailing list [email protected] http://mail.python.org/mailman/listinfo/pypy-issue
