On Do, 2015-08-13 at 15:52 +0000, Anne Archibald wrote: > Hi, > > > What is a sensible way to work on (modify, compile, and test) numpy? > > > There is documentation about "contributing to numpy" at: > http://docs.scipy.org/doc/numpy-dev/dev/index.html > > and: > http://docs.scipy.org/doc/numpy-dev/dev/gitwash/development_workflow.html > > but these are entirely focused on using git. I have no problem with > that aspect. It is building and testing that I am looking for the > Right Way to do. > > > My current approach is to build an empty virtualenv, pip install nose, > and from the numpy root directory do "python setup.py build_ext > --inplace" and "python -c 'import numpy; numpy.test()'". This works, > for my stock system python, though I get a lot of weird messages > suggesting distutils problems (for example "python setup.py develop", > although suggested by setup.py itself, claims that "develop" is not a > command). But I don't know how (for example) to test with python3 > without starting from a separate clean source tree. >
We have the `runtests.py` script which will do exactly this (don't think it gives lots of weird warnings normally). I think that is the only real tip I can give. - Sebastian > > What do you recommend: use virtualenvs? Is building inplace the way to > go? Is there a better way to run all tests? Are there other packages > that should go into the virtualenv? What is the best way to test on > multiple python versions? Switch cleanly between feature branches? > > > Surely I can't be the only person wishing for advice on a sensible way > to work with an in-development version of numpy? Perhaps this would be > a good addition to CONTRIBUTING.md or the website? > > > Thanks, > Anne > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion
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