Hi Thomas
This is fantastic news, as it is the single biggest issue we have had to
deal with (we have a complicated algorithm that generates
hundreds/thousands of "intermediate" shapes while processing). Please
let me know if you need some testing done. Any idea how long before you
will commit?
Regards,
Frank Conradie
On 22/06/2010 2:58 AM, Thomas Paviot wrote:
Hi All,
I've been very busy these last weeks and I was not very active on this
ml. I apologize if any of you didn't get any answer to his question
although I regularly checked the ml activity.
However, the development on pythonOCC was not stopped and I've been
working silently on fixing open issues, and I found *the* way to fix
what was still unclear to me a few weeks ago: 1) memory leaks 2)
TopExp_Explorer returned values 3) python lists of OCC objects that
return the same object when iterated. Untill now, there are 3 tweaks
to deal with these issues: 1) A customized garbage collector 2) hashes
3) use builtin OCC lists/arrays/sets etc.
It is clear that it's not robust enough to imagine using pythonOCC in
some intensive modeling activities with thousands of objects, or run
long term modeling programs (I mean, programs running for hours or
days). The fix I'm working on will solve these 3 issues at the same
time (no need for gc or special hashes) without modifying the API,
with an overall performance improvement. In a few words, the idea is
to move the 'return by reference' C++ mechanism to static casting to
the C++ object in order to get clean python objects, properly deleted
by python, the memory being freed by the OCC reference counting
mechanism (that is to say, the behavior we should expect from a python
wrapper!).
First results are promising. I'm waiting for this work to be completed
before committing anything to the subversion repository. I will do it
as soon as I'm satisfied with this new wrapper and when it's ready to
be tested.
Best Regards,
Thomas
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