Hi everybody, You probably all know Travis Oliphant's SpecialFuncs (previously called cephes) module, which contains a large number of special functions. Currently it is not easy to install this module, since SpecialFuncs became a part of SciPy, which is great in itself but cannot be installed easily as other parts of SciPy depend on a host of other packages. As Scipy will get extended in the future, this problem will only get worse. Recently I have been asked several times for such a module for special functions, but I don't know where I can refer people to without qualms, especially for newbies. Since the 'cephes' part of SpecialFuncs is basically an extension of umathmodule.c in numpy, it seems that numpy would be the natural place for cephes. So I would suggest to integrate cephes with numpy, either by adding cephes' special functions to umathmodule.c or as a separate module (similar to the LinearAlgebra or RandomArray parts of numpy). In the process, we can solve some installation problems in cephes which seem to be recurring frequently (see the numpy mailing list for some examples). For the moment, I slapped together a version of the cephes module that can be installed more easily; however, I would think it is better to do this the right way and to avoid multiple variations of basically the same package floating around in cyberspace. Any opinions on this? If this seems like a good idea, I'd be happy to do some additional coding if needed to set this up, though Travis Oliphant has basically done everything already so I wouldn't think much further coding is needed. --Michiel de Hoon, University of Tokyo. -- Michiel de Hoon, Assistant Professor University of Tokyo, Institute of Medical Science Human Genome Center 4-6-1 Shirokane-dai, Minato-ku Tokyo 108-8639 Japan http://bonsai.ims.u-tokyo.ac.jp/~mdehoon
On Thu, 6 Mar 2003, Michiel Jan Laurens de Hoon wrote:
You probably all know Travis Oliphant's SpecialFuncs (previously called cephes) module, which contains a large number of special functions. Currently it is not easy to install this module, since SpecialFuncs became a part of SciPy, which is great in itself but cannot be installed easily as other parts of SciPy depend on a host of other packages. As Scipy will get extended in the future, this problem will only get worse.
Scipy subpackage 'special' can be installed standalone from scipy and all its dependencies that are irrelevant for the special package (just cd to scipy/special and do 'python setup_special.py install'). So, there should be no need for looking for a new/another home for cephes wrappers, especially because it would require double-maintaining basically of the same code. Pearu
FWIW, I am about to create an 'Extras' area in the Numeric cvs repository where non-core, distutils-enabled addons can be put by the numpy developers. These would be things that install as their own packages, not a part of Numeric or Numarray.
-----Original Message----- From: numpy-discussion-admin@lists.sourceforge.net [mailto:numpy-discussion-admin@lists.sourceforge.net] On Behalf Of Michiel Jan Laurens de Hoon Sent: Wednesday, March 05, 2003 9:25 PM To: numpy-discussion@lists.sourceforge.net Subject: [Numpy-discussion] Integrating cephes with numpy
Hi everybody,
You probably all know Travis Oliphant's SpecialFuncs (previously called cephes) module, which contains a large number of special functions. Currently it is not easy to install this module, since SpecialFuncs became a part of SciPy, which is great in itself but cannot be installed easily as other parts of SciPy depend on a host of other packages. As Scipy will get extended in the future, this problem will only get worse. Recently I have been asked several times for such a module for special functions, but I don't know where I can refer people to without qualms, especially for newbies.
Since the 'cephes' part of SpecialFuncs is basically an extension of umathmodule.c in numpy, it seems that numpy would be the natural place for cephes. So I would suggest to integrate cephes with numpy, either by adding cephes' special functions to umathmodule.c or as a separate module (similar to the LinearAlgebra or RandomArray parts of numpy). In the process, we can solve some installation problems in cephes which seem to be recurring frequently (see the numpy mailing list for some examples).
For the moment, I slapped together a version of the cephes module that can be installed more easily; however, I would think it is better to do this the right way and to avoid multiple variations of basically the same package floating around in cyberspace.
Any opinions on this? If this seems like a good idea, I'd be happy to do some additional coding if needed to set this up, though Travis Oliphant has basically done everything already so I wouldn't think much further coding is needed.
--Michiel de Hoon, University of Tokyo.
-- Michiel de Hoon, Assistant Professor University of Tokyo, Institute of Medical Science Human Genome Center 4-6-1 Shirokane-dai, Minato-ku Tokyo 108-8639 Japan http://bonsai.ims.u-tokyo.ac.jp/~mdehoon
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On Thu, 06 Mar 2003 14:24:58 +0900 Michiel Jan Laurens de Hoon wrote: Michiel> You probably all know Travis Oliphant's SpecialFuncs Michiel> (previously called cephes) module, which contains a large Michiel> number of special functions. The special-funcs of GSL are wrapped in pygsl. Greetings, Jochen -- Einigkeit und Recht und Freiheit http://www.Jochen-Kuepper.de Liberté, Égalité, Fraternité GnuPG key: CC1B0B4D Sex, drugs and rock-n-roll
participants (4)
-
Jochen Küpper -
Michiel Jan Laurens de Hoon -
Paul F Dubois -
Pearu Peterson