Hello. I would like to raise the topic of modifying standard library for performance reasons in *some* places. I know the policy so far is to avoid modifications as much as possible and in general I agree. For example the changes justinpeel made to bz2 (or tarfile? please remind me about details) were not good, since it seems equivalent changes can be achieved by tweaking the JIT.
However, json comes to mind. The situation is as follows: * json in stdlib is some old version of simplejson * simplejson has been played with to improve the performance on top of pypy * there are reports that relatively simple changes will improve performance: https://bugs.pypy.org/issue868 * json in stdlib will *not* be updated for 2.7 series and even if it gets updated for 3.x it'll be incompatible So while I agree that ideally, JIT could handle whatever it has, but maybe json is an example good enough to warrant changes. There are people out there who would base migration to pypy on json performance for example. Any opinions? Cheers, fijal _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
