bottleneck, pymc, and mvpa2 of the
>> following types:
>>
>> IndexError: too many indices
>> ValueError: negative dimensions are not allowed
>>
>> The test results are at
>> <http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-M
too many indices
> ValueError: negative dimensions are not allowed
>
> The test results are at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-50f71cb/>
>
> Christoph
Hi,
https://github.com/numpy/numpy/pull/445 should fix
eneck, pymc, and mvpa2 of the
following types:
IndexError: too many indices
ValueError: negative dimensions are not allowed
The test results are at
<http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120916-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-50f71cb/>
Christoph
__
Hello All,
I have a bit of code that nicely accomplishes what I need for a course I
am teaching. I'd like to extend this for larger 3D grids, and I suspect
that the looping will be a brutal performance hit. Even if my suspicions
are not confirmed, I still would like to know if it's possible to
=
Announcing python-blosc 1.0.5
=
What is it?
===
A Python wrapper for the Blosc compression library.
Blosc (http://blosc.pytables.org) is a high performance compressor
optimized for binary data. It has been designed to transmit da
On Sun, Sep 16, 2012 at 9:19 AM, Ondřej Čertík wrote:
> Hi,
>
> I've finally finished review of
>
> https://github.com/numpy/numpy/pull/439
>
> which back-ports all the PRs from master into the release branch and
> pushed it in. Here is the current status of bugs for the 1.7.0
> release:
>
> https
Hi,
I've finally finished review of
https://github.com/numpy/numpy/pull/439
which back-ports all the PRs from master into the release branch and
pushed it in. Here is the current status of bugs for the 1.7.0
release:
https://github.com/numpy/numpy/issues/396
I believe that for example a lot of
