On 3/24/07, Bill Spotz <[EMAIL PROTECTED]> 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: [EMAIL PROTECTED] > > 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 > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > ** Bill Spotz ** > ** Sandia National Laboratories Voice: (505)845-0170 ** > ** P.O. Box 5800 Fax: (505)284-5451 ** > ** Albuquerque, NM 87185-0370 Email: [EMAIL PROTECTED] ** > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
