[Numpy-discussion] NumPy 1.7 release delays

josef.pktd@gmai... josef.pktd@gmai...
Sat Jun 30 06:59:56 CDT 2012


On Sat, Jun 30, 2012 at 1:52 AM, Matthew Brett <matthew.brett@gmail.com> wrote:
> Hi,
>
> On Wed, Jun 27, 2012 at 12:38 AM, Christoph Gohlke <cgohlke@uci.edu> wrote:
>> On 6/26/2012 8:13 PM, Travis Oliphant wrote:
>>>> For the main repos we use buildbot and test on:
>>>>
>>>> Ubuntu Maverick 32-bit
>>>> Debian sid 64-bit
>>>> OSX 10.4 PPC
>>>> OSX 10.5 Intel
>>>> Debian wheezy PPC
>>>> Debian squeeze ARM (a Raspberry PI no less)
>>>> WIndows XP 32 bit
>>>> SPARC (courtesy of our friends at NeuroDebian)
>>>>
>>>> http://nipy.bic.berkeley.edu/builders
>>>>
>>>> We've found several issues with numpy using these, and I've fed them
>>>> back as I found them,
>>>>
>>>> http://projects.scipy.org/numpy/ticket/2076
>>>> http://projects.scipy.org/numpy/ticket/2077
>>>> http://projects.scipy.org/numpy/ticket/2174
>>>>
>>>> They are particularly useful for difficult to reproduce problems
>>>> because they test often and leave a record that we can point to.  As
>>>> I've said before, y'all are welcome to use these machines for numpy
>>>> builds / tests.
>>>
>>> Now that Ondrej is working on getting continuous integration up for NumPy,  I would encourage him to take you up on that offer.   Can these machines run a Jenkins slave?
>>>
>>> Having periodic tests of Sage, Pandas, matplotlib, scipy, and other projects is a major priority and really critical before we can really talk about how to migrate the APIs.    Thankfully, Ondrej is available to help get this project started and working this summer.
>>>
>>> -Travis
>>>
>>
>>
>> FWIW: I can relatively easy (batch script) build numpy from github and
>> run the test suites of many packages available at
>> <http://www.lfd.uci.edu/~gohlke/pythonlibs/> against it.
>>
>> For example at
>> <http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/numpy-MKL-1.7.0.dev-66bd39f-win-amd64-py2.7/>
>> are the test results of assimulo, bitarray, bottleneck, h5py,
>> matplotlib, numexpr, pandas, pygame, scipy, skimage, sklearn,
>> statsmodels, and pytables, built against numpy-1.6.x and run against
>> numpy-1.7.0.dev-66bd39f on win-amd64-py2.7.
>
> Thanks - that's very helpful.

same here. I just saw a python 3.2.3 bug in statsmodels.

Josef

>
> Do you have your build system documented somewhere?  Is it easy to
> replicate do you think?
>
> Cheers,
>
> Matthew
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