On 20 May 2012 21:59, Pauli Virtanen <p...@iki.fi> wrote: > Hi, > > > # OK, but slow > cdef double[:,:] a = np.zeros((10, 10), float) > > # OK, fast (no Python object) > cdef double[10] a > > # OK, but slow, makes Python calls (-> cython.view array) > cdef double[10*10] a_ > cdef double[:,:] a = <double[:10,:10]>(<double*>a_) > > # not allowed > cdef double[10,10] a > > Small N-d work arrays are quite often needed in numerical code, and I'm > not aware of a way for conveniently getting them in Cython. > > Maybe the recently added improved memoryviews could allow for > Python-less N-dim arrays? This may be reinveinting a certain language, > but such a feature would find immediate practical use. > > -- > Pauli Virtanen > > _______________________________________________ > cython-devel mailing list > cython-devel@python.org > http://mail.python.org/mailman/listinfo/cython-devel
Hey Pauli, Thanks for the feedback, that's actually really something I wanted as well, along with variable sized C arrays while we're at it. We think we can definitely make this work, probably with a syntax like 'cdef double[:10, :10] myview' for memoryviews. I'm not sure when I'll have the time to implement this, as I'm first going to focus on the gsoc, so I can't promise anything for 0.17. Cheers, Mark _______________________________________________ cython-devel mailing list cython-devel@python.org http://mail.python.org/mailman/listinfo/cython-devel
