My first tests with your method shows good improvement (2x)

Thanks a lot,

- Patrick

On Thu, Sep 17, 2009 at 4:10 PM, Dino Viehland <[email protected]> wrote:

>  One option is to define __slots__ on your classes and not include
> __dict__ in the list of slots.  This will limit the attributes you can store
> on the object and the objects will all be stored in an array instead of a
> dictionary.  __slots__ should include each attribute you want to be able to
> set:
>
>
>
> class object(object):
>
>                 __slots__ = [‘a’, ‘b’, ‘c’]
>
>
>
>
>
>
>
> *From:* [email protected] [mailto:
> [email protected]] *On Behalf Of *Patrick Deschênes
> *Sent:* Thursday, September 17, 2009 1:00 PM
> *To:* [email protected]
> *Subject:* [IronPython] Many small objects and memory footprint
>
>
>
> Hello,
>
>
>
> I'm currently using IronPython to manage a big tree of small objects.
>  Everything works as fine but the memory usage is really huge (about 6x
> greater than the same program writtent in C#).  I assumed the memory usage
> would be greater in dynamic language than in C#.  Since I really need to
> have a small memory footprint, what strategy should I use to keep the memory
> usage low.
>
>
>
> NOTE:  There's many classes already written in python and I would really
> like to keep using python, but I'm open to suggestion.
>
>
>
> Patrick
>
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>
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