[Numpy-discussion] Global Numpy vector with Swig
Fri Feb 16 11:59:35 CST 2007
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
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!
More information about the Numpy-discussion