I've removed the display initialization until after all of the geometry
calculations, not a factor in this case. The longitudinal cuts take ~10
minutes each!

Thanks for the excellent suggestions. I don't think parallelization will
work in this particular case, but I think that it will help in a variant of
this case, i'll be examining the referenced code.

I'd like to try the cut with compound object but I cannot find any examples.
Perhaps some pseudo-code indicating how to make a compound object out of a
list of solids.

On Tue, Jun 22, 2010 at 3:42 AM, Jelle Feringa <jelleferi...@gmail.com>wrote:

> You can also speedup the slicing process by distributing the computation
> over many cores (with the help of the multiprocess python module). Have a
> look to the slides 17 and 18 of this slideshow:
> http://www.pythonocc.org/resources/presentations_events/product-data-exchange-2009-conference-pde2009/.
> This multiprocess slicing is enabled by the shared serialization of
> TopoDS_Shape objects.
>
> The source code is available at:
> http://code.google.com/p/pythonocc/source/browse/trunk/src/examples/Level2/Concurrency/parallel_slicer.py
>
>
> True, for computing slices the multi-core approach works.
> However -and I think this is the case we're dealing with- if you change the
> object than of course using several processes doesn't speed things up, since
> the processes will simple be waiting for another process to finish. Fotios
> advice on constructing a compound object and than performing the boolean
> operation is most likely the way to go. I also used that trick a number of
> times with success.
>
> A note on display speed; by default, the display.DisplayShape method
> updates the viewer. If you use the display.DisplayShape( someShape,
> update=False ) the viewer will not redraw, which results in a considerable
> speed up. Note that you can also supply a list of TopoDS_* instances as
> argument.
>
> -jelle
>
> _______________________________________________
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> https://mail.gna.org/listinfo/pythonocc-users
>
>


-- 
Charles McCreary P.E.
CRM Engineering
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