Hello,
The source packages and binaries got numpy 1.9.0 beta 2 have just been
uploaded to sourceforge.
https://sourceforge.net/projects/numpy/files/NumPy/1.9.0b2
1.9.0 will be a new feature release supporting Python 2.6 - 2.7 and 3.2
- 3.4.
Unfortunately we have disabled the new __numpy_ufunc__ feature for
overriding ufuncs in subclasses for now. There are still some unresolved
issues with its behavior regarding python operator precedence and
subclasses.
If you have a stake in the issue please read Pauli's summary of the
remaining issues:
http://mail.scipy.org/pipermail/numpy-discussion/2014-July/070737.html
When the issues are resolved to everyones satisfaction we hope to enable
the feature for 1.10 in its final form.
We have restored the indexing edge case that broke matplotlib with numpy
1.9.0 beta 1 but some of the other test failures in other packages are
deemed bugs in their code and not reasonable to support in numpy
anymore. Most projects have fixed the issues in their latest stable or
development versions. Depending on how bad the broken functionality is
you may need to update your third party packages when updating numpy to
1.9.0b2.
An attempt was made to update the windows binary toolchain to the latest
mingw/mingw64 version and an up to date ATLAS version but this turned up
a few ugly test failures.
Help in resolving these issues is appreciated, no core developer has
Windows debugging experience.
Please see this issue for details:
https://github.com/numpy/numpy/issues/4909
The changelog is mostly the same as in beta1. Please read it carefully
there have been many small changes that could affect your code.
https://github.com/numpy/numpy/blob/maintenance/1.9.x/doc/release/1.9.0-notes.rst
Please also take special note of the future changes section which will
apply to the following release 1.10.0 and make sure to check if your
applications would be affected by them.
Source tarballs, windows installers and release notes can be found at
https://sourceforge.net/projects/numpy/files/NumPy/1.9.0b2
Cheers,
Julian Taylor
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion