[SciPy-dev] Dropping djbfft ?
Tue May 13 00:52:06 CDT 2008
2008/5/13 David Cournapeau <firstname.lastname@example.org>:
> Nathan Bell wrote:
> > I don't see how this addresses David's argument.
> I understand that Robert's position is if supporting too many backends
> is a burden, just drop mkl and fftw(2/3). Supporting fftpack and djbfft
> only would certainly be much easier.
Well, for people that want Matlab-fast FFT (and those are the people you
want to satisfy with the plug-in system with numpy), dropping the fastest
libraries is not the best way to get them.
Just my two cents.
French PhD student
Website : http://matthieu-brucher.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
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