Going with option 2 is probably the best option so that you can use pytest fixtures and parameterization.
Might be worth looking at how Matplotlib re-arranged things on our master branch to maintain back-compatibility with nose-specific tools that were used by down-stream projects. Tom On Tue, Jul 11, 2017 at 4:22 PM Sebastian Berg <sebast...@sipsolutions.net> wrote: > On Tue, 2017-07-11 at 14:49 -0600, Charles R Harris wrote: > > Hi All, > > > > Just looking for opinions and feedback on the need to keep NumPy from > > having a hard nose/pytest dependency. The options as I see them are: > > > > pytest is never imported until the tests are run -- current practice > > with nose > > pytest is never imported unless the testfiles are imported -- what I > > would like > > pytest is imported together when numpy is -- what we need to avoid. > > Currently the approach has been 1), but I think 2) makes more sense > > and allows more flexibility. > > > I am not quite sure about everything here. My guess is we can do > whatever we want when it comes to our own tests, and I don't mind just > switching everything to pytest (I for one am happy as long as I can run > `runtests.py` ;)). > When it comes to the utils we provide, those should keep working > without nose/pytest if they worked before without it I think. > > My guess is that all your options do that, so I think we should take > the one that gives the nicest maintainable code :). Though can't say I > looked enough into it to really make a well educated decision, that > probably means your option 2. > > - Sebastian > > > > > Thoughts? > > Chuck > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@python.org > > https://mail.python.org/mailman/listinfo/numpy-discussion > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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