Are we going to have to have documentation somewhere making it clear that the numpy wheel shouldn't be used in a conda environment? Not that I would expect this issue to come up all that often, but I could imagine a scenario where a non-scientist is simply using a base conda distribution because that is what IT put on their system. Then they do "pip install ipython" that indirectly brings in numpy (through the matplotlib dependency), and end up with an incompatible numpy because they would have been linked against different pythons?
Or is this not an issue? Ben Root On Thu, Apr 14, 2016 at 2:04 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > > On Thu, Apr 14, 2016 at 8:02 AM, Jens Nielsen <jenshniel...@gmail.com> > wrote: > > I have tried testing the wheels in a project that runs tests on Travis's > > Trusty infrastructure which. The wheels work great for python 3.5 and > saves > > us several minuts of runtime. > > > > However, I am having trouble using the wheels on python 2.7 on the same > > Trusty machines. It seems to be because the wheels are tagged as > cp27-cp27mu > > (numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl) where as > > pip.pep425tags.get_abi_tag() returns cp27m on this particular python > > version. (Stock python 2.7 installed on Travis 14.04 VMs) Any chance of a > > cp27m compatible wheel build? > > Ouch - do you know where travis-ci's Python 2.7 comes from? I see > that the standard apt-get install -y python is a wide (mu) build... > > Cheers, > > Matthew > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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