Hi, On Mon, Apr 18, 2016 at 2:49 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > On Sun, Apr 17, 2016 at 9:48 AM, Jens Nielsen <jenshniel...@gmail.com> wrote: >> 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 for testing.
I've also tested a range of numpy and scipy wheels built with the manylinux docker image. Built numpy and scipy wheels here: http://nipy.bic.berkeley.edu/manylinux/ Test script and output here: http://nipy.bic.berkeley.edu/manylinux/tests/ There are some test failures in the logs there, but I think they are all known failures from old numpy / scipy versions, particularly https://github.com/scipy/scipy/issues/5370 Y'all can test for yourselves with something like: python -m pip install -U pip pip install -f https://nipy.bic.berkeley.edu/manylinux numpy==1.6.2 scipy==0.16.0 I propose to upload these historical wheels to pypi to make it easier to test against older versions of numpy / scipy. Any objections? Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
