Obectification

Just pootling about benchmarking stuffs again, which is what I do when I'm too lazy to actually code something but want to appear productive.  This time I'm seeing how many little objects Python can create per second.  Here's the code:

import time

class iwb(int):
    def __setattr__(self, k, v):
        pass
    def __getattr__(self, k, default=None):
        return None

def perf(count):
    t0 = time.time()
    for i in range(count):
        j = iwb(i)
    print '%s per second' % (count / (time.time() - t0))

perf(10000000)

And here are the numbers:

Python 2.6.4/32: 3044540.34221 per second
Psyco 2.6.4/32: 5378755.4303 per second
Jython 2.5.1: 795102.161706 per second  (significantly slower, but better than I'd expected)
Cython 2.6.4/32: 3830629.40698 per second (faster than Python, slower than Psyco)
Python 2.6.4/64: 3617701.37013 per second (again nearly 20% faster than the 32-bit version)
IronPython 2.6: 1931247.06236 per second (On my laptop, a 1.8GHz Core 2 Duo, compared to the 3GHz Phenom II for the preceding results, so not too bad.  I need to see if it works under Mono.)

The reason I'm fiddling with this is that I'm looking at an optimisation/simplification for Minx, but it would involve creating about 10,000 objects to load the current main page of my blog.  It's part of some syntactical trickery I'm trying to work out that creates virtual methods on objects in trees....  Without the objects being visibly objects, which involves some hackery when you put them in the tree in the first place.

Posted by: Pixy Misa at 03:16 AM | No Comments | Add Comment | Trackbacks (Suck)
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