How do these two relate to each other !? - Sebastian
On Fri, Sep 2, 2016 at 12:33 PM, Carl Kleffner <cmkleff...@gmail.com> wrote: > maybe https://bitbucket.org/memotype/cffiwrap or https://github.com/ > andrewleech/cfficloak helps? > > C. > > > 2016-09-02 11:16 GMT+02:00 Nathaniel Smith <n...@pobox.com>: > >> On Fri, Sep 2, 2016 at 1:16 AM, Peter Creasey >> <p.e.creasey...@googlemail.com> wrote: >> >> Date: Wed, 31 Aug 2016 13:28:21 +0200 >> >> From: Michael Bieri <mibi...@gmail.com> >> >> >> >> I'm not quite sure which approach is state-of-the-art as of 2016. How >> would >> >> you do it if you had to make a C/C++ library available in Python right >> now? >> >> >> >> In my case, I have a C library with some scientific functions on >> matrices >> >> and vectors. You will typically call a few functions to configure the >> >> computation, then hand over some pointers to existing buffers >> containing >> >> vector data, then start the computation, and finally read back the >> data. >> >> The library also can use MPI to parallelize. >> >> >> > >> > Depending on how minimal and universal you want to keep things, I use >> > the ctypes approach quite often, i.e. treat your numpy inputs an >> > outputs as arrays of doubles etc using the ndpointer(...) syntax. I >> > find it works well if you have a small number of well-defined >> > functions (not too many options) which are numerically very heavy. >> > With this approach I usually wrap each method in python to check the >> > inputs for contiguity, pass in the sizes etc. and allocate the numpy >> > array for the result. >> >> FWIW, the broader Python community seems to have largely deprecated >> ctypes in favor of cffi. Unfortunately I don't know if anyone has >> written helpers like numpy.ctypeslib for cffi... >> >> -n >> >> -- >> Nathaniel J. Smith -- https://vorpus.org >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> https://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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