[IronPython] Sin and Sqrt performance (Chris Trimble)
Chris Trimble
trimble at pobox.com
Mon Apr 17 23:53:14 CEST 2006
Did you try making the change on your end and see a change? It makes
no difference on my end.
BTW, I had tried 'while' before making the original post. No
difference there either. In fact, range() has better performance than
'while' in CPython for this code!
- Chris
On 4/17/06, Dave <midnightdf at yahoo.com> wrote:
> Use xrange instead of range and there should be a pretty good performance
> improvement;) As is, your for loop creates a list of five million elements.
> A simple while loop would also do the trick although it's not as clean to
> look at.
>
> Dave
>
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> 1. Sin and Sqrt performance (Chris Trimble)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 17 Apr 2006 11:47:35 -0700
> From: "Chris Trimble"
> Subject: [IronPython] Sin and Sqrt performance
> To: "Discussion of IronPython"
> Message-ID:
>
> Content-Type: text/plain; charset=ISO-8859-1
>
> IP doesn't do much better than CPython when using math.sin and
> math.sqrt. However, same test in C# dominates (10ms.. as opposed to
> upwards of 5 seconds in IP or CPy). Am I missing something here?
>
> Thanks,
>
> - Chris
>
> -----------------------------------
>
> import time
> from math import *
>
> def do_timing(f, reps):
> start = time.time()
> f(reps)
> end = time.time()
> print "%s (%d reps): %f" % (f.__name__, reps, end-start)
>
>
> def py_fpfunc_test(reps):
> j = 0.0
> for i in range(0, reps):
> j += sin( j )
> j += sqrt( j )
> j +=2.72392032032;
> print j
>
> def do_all_timing():
> do_timing(py_fpfunc_test, 5000000)
>
> do_all_timing()
> print ""
>
>
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