> I've been doing some profiling of 3.0 vs. 2.6 release builds on > Windows XP for the purpose of hopefully closing the performance > gap. This data is very preliminary, but I thought I'd throw it out > here in case someone else also wanted to look into this. Also, > possibly useful for comparing against profiling data on other > platforms. The table below just lists functions and speed > differentials in 3.0 vs. 2.6, ordered by the functions in which we > spend the most total time.
Hello, I don't know much about python internals, so the following might be bogus: I replaced unicode_hash and string_hash with the hash function from here: http://www.azillionmonkeys.com/qed/hash.html. Then I ran the following micro-benchmark : $ time ./python bench.py where bech.py is: f = dict((line, nr) for nr, line in enumerate(open('/usr/share/dict/words', encoding='latin1').readlines())) Python3k original hash: real 0m2.210s new hash: real 0m1.842s So maybe this is an interesting hash function? Tom _______________________________________________ Python-3000 mailing list Python-3000@python.org http://mail.python.org/mailman/listinfo/python-3000 Unsubscribe: http://mail.python.org/mailman/options/python-3000/archive%40mail-archive.com
