[SciPy-dev] F2PY future

Ondrej Certik ondrej@certik...
Mon Apr 14 04:10:57 CDT 2008

On Mon, Apr 14, 2008 at 10:59 AM, Pearu Peterson <pearu@cens.ioc.ee> wrote:
>  Ondrej Certik wrote:
>  > Let me add, that I, as the user of f2py and also right now one of the
>  > maintainers of the numpy/scipy packages in Debian, I find it really
>  > bad, if the tools
>  > move around from a package to package so often. It makes thing really
>  > hard to package and follow.
>  >
>  > As an example, Debian sarge, Debian etch and Debian lenny all have
>  > different ways how to install and work with numpy, scipy and f2py.
>  > This is bad, because everyone has to relearn all the time and also if
>  > you, say, install scipy from sources (because the released version is
>  > too old), it's freaking hard, because I cannot just take use the same
>  > tricks as in unstable, because things has moved around since etch.
>   >
>  > So my suggestion is either choose numpy, or your own f2py package, but
>  > stick to it forever. :)
>  I agree with you.
>  > Also, how are you going to handle and package this g3 f2py? Cannot it
>  > be just part of the regular f2py?
>  In short run, g3 f2py will be developed separately from numpy because
>  g3 f2py requires lots of work and I don't want to disturb the stability
>  of numpy svn. When g3 f2py will become usable, it's code can be copied
>  to numpy tree as it is now. So, g3 f2py can be distributed with numpy
>  together with the stable f2py and for users it is a matter of using
>  f2py command line flags --2d-{numeric, numpy. numarray} --g3-numpy
>  to choose which implementation of f2py will be used for wrapping.
>  In long run, the future of f2py packaging depends on what will be
>  numpy future policy regarding various extension generation
>  and other non-array related tools. It is clear
>  that when f2py (and numpy.distutils, etc) is shipped with numpy,
>  supporting scipy is considerably easier. That is why f2py,
>  scipy_distutils, and scipy_testing were included to numpy in
>  the first place.
>  On the other hand, cleaning up numpy from non-array stuff
>  has an advantage of making numpy easier for python developers to accept
>  it as a part of std library. So, I am not sure that I alone can give a
>  definite promise that the packaging of f2py will never change in future.
>  If the numpy cleanup decision will be made, it must take into account
>  all possible backward compatibility issues, including packaging.

Ah I see, I got the full picture now. Thanks for the explanation.
Well, I think it's not a problem -- if numpy decides
to kick out non-array things, you'll simply package f2py as a
standalone package and that's it. That package, whether it is in numpy
or standalone will include both f2py and g3 f2py, so no problem with
packaging should occur.


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