[Numpy-discussion] linux wheels coming soon

[Matthew Brett]

Hi,

On Mon, Apr 18, 2016 at 2:49 PM, Matthew Brett <matthew.brett at gmail.com> wrote:
> On Sun, Apr 17, 2016 at 9:48 AM, Jens Nielsen <jenshnielsen at 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