fork / extension of cffiwrap:
*"cfficloak - A simple but flexible module for creating object-oriented, pythonic CFFI wrappers.This is an extension of https://bitbucket.org/memotype/cffiwrap <https://bitbucket.org/memotype/cffiwrap>"* 2016-09-02 13:46 GMT+02:00 Sebastian Haase <seb.ha...@gmail.com>: > 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 >> >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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