I have tested the new cp27m wheels and they seem to work great. @Matthew I am using the:
``` sudo: required dist: trusty images mentioned here https://docs.travis-ci.com/user/ci-environment/. As far as I can see you are doing: sudo: false dist: trusty I had no idea such an image exist since it's not documented on https://docs.travis-ci.com/user/ci-environment/ Anyway your tests runs with python 2.7.9 where as the sudo: requires ships python 2.7.10 so it's clearly a different python version: @Olivier Grisel this only applies to Travis's own home build versions of python 2.7 on the Trusty running on google compute engine. It ships it's own prebuild python version. I don't have any issues with the stock versions on Ubuntu which pip tells me are indeed cp27mu. It seems like the new cp27m wheels works as expected. Thanks a lot Doing: ``` python -c "from pip import pep425tags; print(pep425tags.is_manylinux1_compatible()); print(pep425tags.have_compatible_glibc(2, 5)); print(pep425tags.get_abi_tag())" pip install --timeout=60 --no-index --trusted-host " ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com" --find-links " http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/"; numpy scipy --upgrade ``` results in: ``` True True cp27m Ignoring indexes: https://pypi.python.org/simple Collecting numpy Downloading http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/numpy-1.11.0-cp27-cp27m-manylinux1_x86_64.whl (15.3MB) 100% |████████████████████████████████| 15.3MB 49.0MB/s Collecting scipy Downloading http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/scipy-0.17.0-cp27-cp27m-manylinux1_x86_64.whl (39.5MB) 100% |████████████████████████████████| 39.5MB 21.1MB/s Installing collected packages: numpy, scipy Found existing installation: numpy 1.10.1 Uninstalling numpy-1.10.1: Successfully uninstalled numpy-1.10.1 Successfully installed numpy-1.11.0 scipy-0.17.0 ``` And all my tests pass as expected. Thanks a lot for all the work. Best Jens On Sun, 17 Apr 2016 at 11:05 Olivier Grisel <olivier.gri...@ensta.org> wrote: > I tried on trusty and is also picked > numpy-1.11.0-cp27-cp27mu-manylinux1_x86_64.whl using the system python > 2.7 (in a virtualenv with pip 8.1.1): > > >>> import pip > >>> pip.pep425tags.get_abi_tag() > 'cp27mu' > > Outside of the virtualenv I still have the pip version from ubuntu > trusty and it does cannot detect ABI tags: > > $ /usr/bin/pip --version > pip 1.5.4 from /usr/lib/python2.7/dist-packages (python 2.7) > > >>> import pip > >>> pip.pep425tags.get_abi_tag() > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > AttributeError: 'module' object has no attribute 'get_abi_tag' > > But we don't really care because manylinux1 wheels can only be > installed by pip 8.1 and later. Previous versions of pip should just > ignore those wheels and try to install from the source tarball > instead. > > -- > Olivier > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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