Stefan Krah added the comment: With the latest patch the decimal benchmark with a lot of small allocations is consistently 2% slower. Large factorials (where the operands are initialized to zero for the number-theoretic transform) have the same performance with and without the patch.
It would be interesting to see some NumPy benchmarks (Nathaniel?). ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue21233> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
