xrange makes no difference. And, yes, I've run the Welcome program dozens
of times and the results are very consistent. There is little randomness in
time.time().
My Linux server is a dedicated machine at the datacentre. I have it all to
myself. Not much else is running on it. Apache2, web2py.
On Friday, 14 March 2014 10:53:38 UTC-4, Jonathan Lundell wrote:
>
> On 14 Mar 2014, at 7:39 AM, horridohobbyist
> <horrido...@gmail.com<javascript:>>
> wrote:
> > Okay, version 2.6.5 is verified. No difference in the Python version.
> >
> > So how to explain the performance difference?
>
> It's getting to be interesting.
>
> To make the result more robust, I'd try it with a much bigger range, maybe
> 100x, to be sure that the per-loop time is dominating the report. And just
> for the heck of it I'd replace range with xrange to see if it makes any
> difference at all.
>
> Something else to keep in mind, especially if you're running this on a
> shared VM, is that time.time() is giving you clock time, and that can lead
> to very random results in a shared-hardware environment. Or even in a
> non-shared one, if there's any other system activity going on. The only way
> around that is to repeat the experiment a lot (which you're doing, sounds
> like).
>
> >
> >
> > On Friday, 14 March 2014 09:36:29 UTC-4, Jonathan Lundell wrote:
> > On 14 Mar 2014, at 6:28 AM, horridohobbyist <horrido...@gmail.com>
> wrote:
> >> I conducted a simple experiment. I took the "Welcome" app, surely the
> simplest you can have (no databases, no concurrency, etc.), and added the
> following to the index page:
> >>
> >> def test():
> >> start = time.time()
> >> x = 0.0
> >> for i in range(1,5000):
> >> x += (float(i+10)*(i+25)+175.0)/3.14
> >> debug("elapsed time: "+str(time.time()-start))
> >> return
> >>
> >> I get an elapsed time of 0.103 seconds.
> >>
> >> The same exact code in a command line program...
> >>
> >> if __name__ == '__main__':
> >> test()
> >>
> >> gives an elapsed time of 0.003 seconds. That's 35 times faster! It's
> not the 2 orders of magnitude I'm seeing in the pyShipping code, but my
> point is proven. There is something hinky about web2py that makes Python
> code execute much more slowly. Is web2py using a different Python version?
> As far as I can tell, I only have Python 2.6.5 installed on my Linux
> server.
> >>
> >
> > Easy enough to find out: print sys.version.
>
>
>
--
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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