[Numpy-discussion] swig svn commits

[Sebastian Haase]

On 3/24/07, Bill Spotz <wfspotz at sandia.gov> wrote:
> No, I don't consider native byte order.  What was your solution?
>
I think there is only one solution:
If somebody requests INPLACE handling but provides data of
wrong byteorder,  I have to throw an exception -- in SWIG terms, the
typecheck returns False (if I remember right).

For me this is just a "last-line of defence"  - meaning that I have
most of my functions wrapped by another level of python "convenience"
functions, and those take care of type and byte-order issues
beforehand as needed.

-Sebastian


> The typecheck typemap is so that swig can perform isolated type
> checking when it is creating dispatch code for overloaded functions.
> The typechecks I added for INPLACE arrays require that the argument
> be a numpy array and that PyArray_EquivTypenums() return true for the
> provided and requested types.
>
> On Mar 23, 2007, at 3:03 PM, Sebastian Haase wrote:
>
> > Hi,
> > this is regarding the svn commit by wfspotz.
> >
> > Author: wfspotz at sandia.gov
> > Date: 2007-03-23 13:04:37 -0500 (Fri, 23 Mar 2007)
> > New Revision: 3593
> >
> > Modified:
> >   trunk/numpy/doc/swig/numpy.i
> > Log:
> > Added typecheck typemaps to INPLACE_ARRAY typemap suites
> >
> > Hi wfspotz,
> > I was just wondering if you consider checking for "native byte order"
> > as part of your inplace-typemap.
> > I found that to be a problem in my SWIG type maps
> > that I hi-jacked / boiled down  from the older numpy swig files.
> > (They are mostly for 3D image data, only for a small number of types)
> >
> > -Sebastian
> > _______________________________________________
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> > http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
> ** Bill Spotz                                              **
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> ** P.O. Box 5800                 Fax:   (505)284-5451      **
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>
>
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