On Wed, Dec 5, 2012 at 10:23 PM, Paul Ivanov <[email protected]> wrote: > On Wed, Dec 5, 2012 at 1:52 PM, Nathaniel Smith <[email protected]> wrote: >> If you're defining your own warning class, you might consider using >> FutureWarning instead of UserWarning. >> >> We had a discussion about this issue for numpy recently: >> http://mail.scipy.org/pipermail/numpy-discussion/2012-May/062460.html >> What we eventually ended up with: >> http://mail.scipy.org/pipermail/numpy-discussion/2012-May/062468.html > > Thanks for the pointers, Nathaniel. Though I think I disagree with > continuing to use DeprecationWarnings for features that will go away > and just break code - shouldn't users be given ample opportunity of > coming changes without having to find out by having their code break > at a future release?
Yeah, there aren't any perfect solutions here. That's why I didn't express an opinion on what you ought to do :-). Basically what the debate comes down to is, deprecation warnings are useful to developers, and annoying and scary to users. (And users can easily end up seeing them, e.g. if they use a package which depends on matplotlib, and then upgrade matplotlib, their existing package may suddenly start spewing scary warnings, and that package's developers can't do anything about this because this version of matplotlib is newer than anything that existed when they released their package.) This problem becomes worse the lower your package is in the stack, and the more widely used it is by third-party packages. It's easier to tell developers how to turn on deprecation warnings than it is to tell users how to turn them off, so that's why the Python stdlib turned them off by default, and similarly numpy. The main thing I took from this personally is that I went and added 'export PYTHONWARNINGS=default' to all my package's test scripts, to ensure deprecation warnings would be enabled... -n ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d _______________________________________________ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel