Hi Rolf, Just curious -- have you considered using the blitz++ library (http://www.oonumerics.org/blitz/)? There seems to be a lot of overlap in terms of functionality. If you use blitz++, it's largely included in scipy as part of weave. Additionally, I already have code that generates wrappers to functions taking such arrays using weave. If blitz++ would work, I'll send them to you.
-- Hoyt On Tue, Nov 11, 2008 at 2:28 AM, Rolf Wester <[EMAIL PROTECTED]> wrote: > Charles R Harris wrote: >> On Tue, Nov 11, 2008 at 2:19 AM, Rolf Wester >> <[EMAIL PROTECTED]>wrote: >> >>> Charles R Harris wrote: >>>> On Tue, Nov 11, 2008 at 1:24 AM, Rolf Wester >>>> <[EMAIL PROTECTED]>wrote: >>>> >>>>> Hi all, >>>>> >>>>> I would like to wrap some C++ classes that use TNT-Arrays. Is it >>>>> possible to pass numpy arrays to C++ functions that expect TNT-Arrays as >>>>> function parameter? Does anybody know how the wrappers could be >>>>> generated using swig? I would be very appreciative for any help. >>>>> >>>>> With kind regards >>>>> >>>> IIRC, TNT does vectors and matrices, they have constructors, and they are >>>> contiguous. I think you can make wrappers, but it isn't going to be >>> anything >>>> straight forward unless you can reuse the memory from a numpy array and I >>>> don't recall that that sort of constructor is available. >>>> >>>> Is TNT still active? It looked pretty dead last time I looked several >>> years >>>> ago. >>>> >>>> Chuck >>>> >>>> >>>> >>>> ------------------------------------------------------------------------ >>>> >>>> _______________________________________________ >>>> Numpy-discussion mailing list >>>> Numpy-discussion@scipy.org >>>> http://projects.scipy.org/mailman/listinfo/numpy-discussion >>> TNT has constructors like: >>> >>> TNT::Array1D<double>(int n, double * data) >>> >>> which do not allocate a new C-array but that use "data" as their >>> data-array. >>> >> >> I don't think there is any easy way to do what you want without writing some >> code somewhere along the line. You can expose the C++ functions and TNT to >> python, but to use numpy arrays you will need some way to get the data back >> and forth between TNT arrays and numpy arrays. I suspect you will end up >> just copying data into TNT arrays, calling your function, and then copying >> data back out of the result. Cython might be an alternative to swig for >> that. >> >> It would help to have a better idea of what you want to do. Do you just want >> to wrap an existing bunch of functions that use TNT? >> >> Chuck >> >> >> >> ------------------------------------------------------------------------ >> >> _______________________________________________ >> Numpy-discussion mailing list >> Numpy-discussion@scipy.org >> http://projects.scipy.org/mailman/listinfo/numpy-discussion > > It's my own code so I have the choice how to do it. Until now I used the > typemaps defined in numpy.i, so I had either to use the 1-dimensional > arrays even in case of multidimensional data or to copy the data. I > wondered wether there is a more elegant way of using numpy arrays on the > python side and TNT::Arrays on the C++ side without having to > explicitely write extra code. > > > Rolf > > -- > ------------------------------------ > # Dr. Rolf Wester > # Fraunhofer Institut f. Lasertechnik > # Steinbachstrasse 15, D-52074 Aachen, Germany. > # Tel: + 49 (0) 241 8906 401, Fax: +49 (0) 241 8906 121 > # EMail: [EMAIL PROTECTED] > # WWW: http://www.ilt.fraunhofer.de > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > -- +++++++++++++++++++++++++++++++++++ Hoyt Koepke UBC Department of Computer Science http://www.cs.ubc.ca/~hoytak/ [EMAIL PROTECTED] +++++++++++++++++++++++++++++++++++ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
