Il giorno 15/feb/07, alle ore 22:26, Bill Spotz ha scritto: > It seems to me you would need to %ignore vec, so that it is not > wrapped as a raw pointer to a double, and then in your interface > file create a PyArrayObject whose data buffer points to vec (the > most efficient way to do this is with %inline). Then use %rename > to rename whatever you called your PyArrayObject to "vec" (or not, > if you do not care about the name). Finally, > > foo.cvar.vec = numpy.zeros(10) > > is going to decrement (and probably delete) your original vec and > replace it with the new array of zeros (I think,
Thank you Bill for your help, even if writing this code is not straightforward for me. Anyway, while I was reading the docs, I became aware of the varin, varout typemap options. I wonder if I can define a typemap(varin) double * declaration, and insert in it the same code that in "numpy.i" translates the PyArrayObject into a C array and vice versa. But I cannot find an example of typemp(varin) for Python, so I don't know what to use for the output, instead of $1. Where are the typemaps (varin) for Python? It seems strange that nobody wrote a public code for such a simple task, as I read that Swig supports Python since the 90s! I suspect I have just not looked in the right places?! Thank you again for help! Andrea _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
