Kristján Valur Jónsson added the comment: Absolutely. Although there is a very useful scenario where this could be consided a run-time setting:
# turboprofiler.py # Load up the memory hooker which will supply us with all the info import _turboprofiler _turboprofiler.hookup() Perhaps people interested in memory optimizations and profiling could hook up at pycon? It is the most common regular query I get from people in my organization: How can I find out how python is using/leaking/wasting memory? ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue3329> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: http://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
