Good job. Those using Debian and Ubuntu know, that the python-scipy package was broken for almost two months. I sent a patch that fixes that and makes scipy build and install, into the bug database: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=426012 (scroll down). Hopefully, the maintainer will upload the new package soon, in the meantime, just apply my patch and build the package by hand. Ondrej On 8/15/07, Matthew Brett <matthew.brett@gmail.com> wrote:

good job

On 8/15/07, Jarrod Millman <millman@berkeley.edu> wrote:

...

Hello,

I am hoping to release NumPy 1.0.3.1 and SciPy 0.5.2.1 this weekend. These releases will work with each other and get rid of the annoying deprecation warning about SciPyTest.

They are both basically ready to release. If you have some time, please build and install the stable branches and let me know if you have any errors.

You can check out the code here: svn co http://svn.scipy.org/svn/numpy/branches/1.0.3.x svn co http://svn.scipy.org/svn/scipy/branches/0.5.2.x

Below is a list of the changes I have made.

NumPy 1.0.3.1 ============ * Adds back get_path to numpy.distutils.misc_utils

SciPy 0.5.2.1 ========== * Replaces ScipyTest with NumpyTest * Fixes mio5.py as per revision 2893 * Adds missing test definition in scipy.cluster as per revision 2941 * Synchs odr module with trunk since odr is broken in 0.5.2 * Updates for SWIG > 1.3.29 and fixes memory leak of type 'void *'

Thanks,

-- Jarrod Millman Computational Infrastructure for Research Labs 10 Giannini Hall, UC Berkeley phone: 510.643.4014 http://cirl.berkeley.edu/ _______________________________________________ Scipy-dev mailing list Scipy-dev@scipy.org http://projects.scipy.org/mailman/listinfo/scipy-dev

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I just wanted to give you a public, huge thank you for tackling this most thankless but important problem. Many people at the just finished SciPy'07 conference mentioned better deployment/installation support as their main issue with scipy. Our tools are maturing, but we won't get very far if they don't actually get in the hands of users.

I think all of the developers should make sure, that scipy and numpy installs natively in their own favourite distribution. So for example I am using Debian, so I'll try to keep an eye on it and help the maintainer of the deb package. This way it should cover the most distributions. Ondrej P.S. I don't know what the native way of installing packages on Mac OS X is, but I know of the fink project, that basically allows to use debian packages: http://finkproject.org/