Python profile guided optimizations

[Charalampos Stratakis]

Hello again,

An new feature that I am currently working on for python is the profile-guided-optimization.

Upstream: https://bugs.python.org/issue24915
Original bugzilla: https://bugzilla.redhat.com/show_bug.cgi?id=613046
Copr repo with builds: dnf copr enable cstratak/python-profiled-optimizations

Supposedly it speeds up the python interpreter's performance by ~20%, however it would require some testing to figure out if that is indeed the case for the python rpm, and some tweaking might be required. It would be great if I could get some help from someone who is involved python's benchmarking. Planning first to try this with Python 3 and then also maybe Python 2. I'll rework the builds at copr later and I'll post a github repo as well with the proposed changes.

Charalampos Stratakis
Associate Software Engineer
Python Maintenance Team, Red Hat