Hi David, On Sun, May 15, 2011 at 5:21 PM, Armin Rigo <arigo@tunes.org> wrote:
Did you try this with PyPy 1.5 or a recent nightly? I thought that the new type __dict__ implementation should have fixed the problem?
Indeed, with a recent PyPy things are much better. My example still takes 1.5x time the time it takes on CPython 2.7, though...
Well, I cannot reproduce this number... I have no clue how I got it :-( The original code you posted is actually not relevant to the JIT: it contains no loop. The fact is that it is still 2-3x faster on PyPy than CPython, for GC reasons: our GC is better at handling quickly growing heaps, and the allocated objects are much smaller anyway. The code I posted used to be really slow in pypy-1.5, because it was trying again and again to JIT it. Now we fixed the issue, and it is again much faster than CPython (this time, about 10x). A bientôt, Armin.