On Feb 18, 9:47 pm, John Reid <johnbaronr...@gmail.com> wrote: > See http://article.gmane.org/gmane.comp.python.ipython.user/10270 for more > info.
One quick workaround would be to use a tuple where required and then coerce it back to Result when needed as such: def sleep(secs): import os, time, parallel_helper start = time.time() time.sleep(secs) return tuple(parallel_helper.Result(os.getpid(), time.time() - start)) rc = parallel.Client() v = rc.load_balanced_view() async_result = v.map_async(sleep, range(3, 0, -1), ordered=False) for ar in async_result: print parallel_helper.Result(*ar) You can of course skip the creation of Result in sleep and only turn it into one in the display loop, but it all depends on additional requirements (and adds some clarity to what is happening, I think). -- http://mail.python.org/mailman/listinfo/python-list