Numeric-focused libraries and programs may wise to “raise” and/or “catch” warnings generated by Numpy operations. By default for Numpy data types operations that raise with plain Python types may only warn with Numpy types.
Use numpy.errstate context manager or decorator to raise Numpy arithmetic warnings as errors. We do this INSTEAD of “numpy.seterr()” that changes the global Numpy settings. That is, scripts or packages that call this module would be affected by numpy.seterr() in surprising ways, while numpy.errstate as decorated or context manager limits the scope of the change to the function or context.