<div dir="ltr">On Thu, Sep 28, 2017 at 10:56 AM, Joe Harrington <<a href="mailto:jh@physics.ucf.edu">jh@physics.ucf.edu</a>> wrote:<br><br>> To the minor point about -Wd, is scipy turning off DeprecationWarnings<br>> by default, or is some environment like ipython doing it?<div><br></div><div>It's a plain-old-python thing.</div><div><br></div><div><div>⯠python</div><div>Enthought Deployment Manager -- <a href="https://www.enthought.com">https://www.enthought.com</a></div><div>Python 2.7.13 |Enthought, Inc. (x86_64)| (default, Mar  2 2017, 08:20:50)</div><div>[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin</div><div>Type "help", "copyright", "credits" or "license" for more information.</div><div>>>> import warnings</div><div>>>> warnings.filters</div><div>[('ignore', None, <type 'exceptions.DeprecationWarning'>, None, 0), ('ignore', None, <type 'exceptions.PendingDeprecationWarning'>, None, 0), ('ignore', None, <type 'exceptions.ImportWarning'>, None, 0), ('ignore', None, <type 'exceptions.BytesWarning'>, None, 0)]</div></div><div><br>> I see numpy deprecation warnings all over the place, until I fix them.<br><br></div><div>You might be thinking of the FutureWarnings, which are not ignored by default.</div><div><br></div><div>--<br>Robert Kern</div></div>