[pypy-dev] deepcopy slower in PyPy - testing script

Jorge de Jesus jmdj at pml.ac.uk
Thu Sep 8 15:45:51 CEST 2011

 Hi to all

That was an interesting result, so (for what I understood) there is
nothing wrong with PyPy, it's just the code I'm trying to run doesn't
have "sufficient" loops  for the JIT to kickstart and be useful ?

Any one has a copy of "PyPy for dummies" ^_^

All the best

On 08/09/11 14:23, David Fraser wrote:
> On Thursday, September 8, 2011 at 12:58:54 PM, Jorge de Jesus <jmdj at pml.ac.uk> wrote:
>> Hi to all
>> Thank you for all the answers concerning the topic.
>> The deepcopy testing script in issue 767 [1], is working faster in PyPy
>> than in CPython, but deepcopy is run on a list of numbers.
>> BUT, PyWPS runs a lot of DOM functions and deepcopy calls that pass DOM
>> Elements as argument.  Just to add my 2cents, it seems that a deepcopy
>> of a complexer object (compared to a number list) is slower in PyPy
>> I've managed to replicate the problem in a small script  [2] that is
>> slower in PyPy:
>> python 2.7.1+ : 0.3057 s
>> pypy1.6 (jit): 1.42s
>> pypy-c-1.6.svn: 1.23s
>> The pypy-c-1.6-svn is a compiled version from the SVN and its
>> compilation options can be found here [3] . The tests were done in 32bit
>> machine
>> Can someone give a look at the testing script and determine why is it
>> slow ?!
>> Thank you for the support, and I must say that PyPy is an amazing
>> project !!!!
> I've attached a slightly modified version of your script that uses timeit to measure the time, and takes an argument to specify the number of repeats...
> This shows that PyPy gets faster as the JIT kicks in:
> python2.7      1000    0.33
> python2.7      10000   0.33
> python3.2      1000    0.41
> python3.2      10000   0.40
> pypy   1000    1.29
> pypy   10000   0.22
> pypy   100000  0.08
> Hope that helps
> David

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