Hi Frank,

The __hash__ overload feature is available on the subversion repository (rev.202). Just svn update and rebuild the solution. You can notice now that the __hash__() and id() methods return different results. This point is important: whenever you create a pythonOCC object (for instance a Standard_Transient), you actually create *2* different objects: the OpenCascade object and the Python proxy to this object. This can be shown with the 'print' expression (see example below): - the __hash__() method returns the memory location of the OpenCascade object.
- the id() method returns the memory location of the python proxy.

Python 2.5.2 |EPD Py25 4.1.30101| (r252:60911, Dec 19 2008, 13:49:12) [MSC v.1310 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> from OCC.Standard import *
>>> a = Standard_Transient()
>>> print a
<OCC.Standard.Standard_Transient; proxy of <Swig Object of type 'Standard_Transient *' at 0x00E0F1E0> >
>>> a.__hash__()
20841077
>>> id(a)
14703088

Best Regards,

Thomas

Frank Conradie a écrit :
By the way, I have a related question, which may be more appropriate for the OCC forums, since I know it is an OCC issue and not specific to pythonocc. But maybe you OCC-gurus can help me out ;-)

Why is it that TopExp_Explorer sometimes returns the same shapes multiple times, e.g. in my code I'm using ShapeFix to turn a complex shell with internal faces into a COMPSOLID with multiple SOLIDs that share these internal faces, but for some reason the same SOLIDs get returned multiple times by TopExp_Explorer. E.g. say my COMPSOLID consists of two SOLIDs, these two solids get returned by the explorer 4 times each (S1, S2, S1, S2, etc.)! Yet another reason why we need the __hash__ to work properly for shapes, as every time the same SOLID is returned it has a different id, i.e. id(1st S1) != id(2nd S1), but S1.HashCode() == S2.HashCode().

Cheers,
Frank

Thomas Paviot wrote:
Hello Franck,

It's really a good idea to map the Hash() OpenCascade method and the python __hash__(). I read a few posts on the __hash__() topic. A good one is, for instance: http://mail.python.org/pipermail/python-dev/2003-September/037923.html .

It's said that 'object.__hash__() returns id(obj) by default'. I tested that a little:
a = object()
a.__hash__()
10093672
id(a)
10093672
But, if __hash__ is overloaded, then __hash() and id() returns 2 different integers.

This is then my proposition:
- *for each* pythonOCC object that is managed by Handle_* (and thus, for which the HashCode() method is available), overload the __hash__ method as Frank said. It can be done within SWIG with two or three more lines in the SWIG_generator.py script. - for other pythonOCC objects, leave the default __hash__ method (thus equivalent to id() )

Thomas

Frank Conradie a écrit :
Hi Jelle

My particular need was to hash TopoDS_Shape objects properly. I'm not sure if this is a good permanent solution, but this works for me, for shapes at least:

def shape_hash(self):
    return self.HashCode(sys.maxint)
TopoDS.TopoDS_Shape.__hash__ = shape_hash

Now I can use shapes in a Python set and as keys in a Python dict - which also means that your Topology.Topo class works properly now (if topo_item in topo_set)!

I can't help thinking there must be a more general way to incorporate this into the SWIG wrapper for *all* OCC classes, but I don't know enough about swig yet to know for sure.

Cheers,
Frank

jelle feringa wrote:
    In order to use pythonocc objects in sets and as dict keys, they
    must hash to the underlying OCC object. In fact, your Topo class
    uses a set internally that does not work because of this very
    fact, because set checks for set membership via hash, and thus,
    two of the same objects that get explored will hash to different
    values and thus be passed back twice.


Hi Frank,

This is really interesting, thanks so much for explaining.
Actually, now I recall what I messed up. I looped through a list of some topology, lets say vertices and checked for their id -> id(vertex).
That did work, however as you point out hash != id.
I think overloading the hash with comparing id()'s could work.
    Hope this makes sense.


A lot, thanks for your advice here.
    I suppose I could overwrite __hash__ the same way you guys
    initially got past the == issue.


What do you think of overloading hash with id?
I'll check tomorrow morning, would be great if this is a stable fix, it sure could be useful.

Thanks,

-jelle

------------------------------------------------------------------------

_______________________________________________
Pythonocc-users mailing list
Pythonocc-users@gna.org
https://mail.gna.org/listinfo/pythonocc-users

_______________________________________________
Pythonocc-users mailing list
Pythonocc-users@gna.org
https://mail.gna.org/listinfo/pythonocc-users

_______________________________________________
Pythonocc-users mailing list
Pythonocc-users@gna.org
https://mail.gna.org/listinfo/pythonocc-users

Reply via email to