Daniel Stutzbach <dan...@stutzbachenterprises.com> added the comment:
> Does this help any? No :-) The problem is that the random data you run in interpreter 1 won't be the same data you run in interpreter 2, so the results are not directly comparable. One of the sets of random data may be more easily sortable than the other. That leaves two options: 1. save the random data to a file and use it in both interpreters, or 2. run a sufficiently large number of tests, with new random data for each test, such that you get a good measurement of the time required to sort average random data I have been using approach #2. ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue9915> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
