I was playing with a python function that I wanted to profile. I used python2.5 and python2.4 to run the following code:

from profileit import profileit
import operator
import time
timed = 0
 
def timemeth(func):
    def _inner(self, *args, **kw):
        start = time.time()
        res = func(self, *args, **kw)
        global timed
        timed = time.time() - start
        return res
    return _inner
 
@profileit(0)
@timemeth
def mip0(iterable):
    reduce(operator.add, iterable, 0)
 
mip0(xrange(100000))
print "timed %.3f seconds" % timed

Outputs with python2.5:

$ python2.5 reducecomp.py|grep seconds
           2 function calls in 1.310 CPU seconds
timed 1.310 seconds

Everything seems OK, and now the output with python2.4:

$ python2.4 reducecomp.py|grep seconds
         2 function calls in 0.000 CPU seconds
timed 1.336 seconds

0.000 seconds ? that's really fast... Something goes wrong with the profiler ?