On Sat, Jan 9, 2016 at 12:31 AM, Robert McGibbon <rmcgi...@gmail.com> wrote: >> Both Anaconda and Canopy build on a base default Linux system so that >> the built binaries will work on many Linux systems. > > I think the base linux system is CentOS 5, and from my experience, it seems > like this approach > has worked very well. Those packages are compatible with all essentially all > Linuxes that are > more recent than CentOS 5 (which is ancient). I have not heard of anyone > complaining that the > packages they install through conda don't work on their CentOS 4 or Ubuntu > 6.06 box. I assume > Python / pip is probably used on a wider diversity of linux flavors than > conda is, so I'm sure that > binaries built on CentOS 5 won't work for absolutely _every_ linux user, but > it does seem to > cover the substantial majority of linux users. > > Building redistributable linux binaries that work across a large number of > distros and distro > versions is definitely tricky. If you run ``python setup.py bdist_wheel`` on > your Fedora Rawhide > box, you can't really expect the wheel to work for too many other linux > users. So given that, I > can see why PyPI would want to be careful about accepting Linux wheels. > > But it seems like, if they make the upload something like > > ``` > twine upload numpy-1.9.2-cp27-none-linux_x86_64.whl \ > --yes-yes-i-know-this-is-dangerous-but-i-know-what-i'm-doing > ``` > > that this would potentially be able to let packages like numpy serve their > linux > users better without risking too much junk being uploaded to PyPI.
I could well understand it if the pypa folks thought that was a bad idea. There are so many Linux distributions and therefore so many ways for this to go wrong, that the most likely outcome would be a relentless flood of people saying "ouch this doesn't work for me", and therefore decreased trust for pip / Linux in general. On the other hand, having a base build system and matching platform tag seems like it is well within reach, and, if we provided proof of concept, I guess that pypa would agree. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
