On Sat, Jun 30, 2012 at 1:52 AM, Matthew Brett <[email protected]> wrote: > Hi, > > On Wed, Jun 27, 2012 at 12:38 AM, Christoph Gohlke <[email protected]> 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 > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
