Gregory P. Smith added the comment: A workaround for this on 3.5 and older versions is probably to do:
initialization: num_q = queue.Queue() map(num_q.put, range(max_workers)) Then schedule max_workers identical tasks: def task(): threading.current_thread().name = '%s_%d' % (your_prefix, num_q.get()) num_q.task_done() num_q.join() # block so that this thread cannot take a new thread naming task until all other tasks are complete. guaranteeing we are executed once per max_workers threads. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue27664> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
