Alright, so I didn't spend the entire week looking into the NumPy test environment pollution that occurs when doctests are run. I wanted to write some new tests to improve coverage, so I had to finish updating all the docstrings to run under the sanitized namespace, and get a more useful indication of coverage. That was a little tedious, but not difficult. I had to write a short script to generate annotated NumPy source (I didn't see any easy way to make nose do it), since the default coverage output--a list of uncovered line numbers--is impossible to use. For me, anyway.

Since nobody had suggested any specific bits of NumPy that they thought deserved more coverage, I just started slogging through the annotated source and looked for big blocks of uncovered code. There weren't any tests for chararray, so I started there.

The __mul__ operator doesn't seem to act right; string results that should be longer than 4 characters seem to get truncated (the resulting array dtype is S4 for some reason). The __mod__ operator doesn't seem to act like I'd expect either, but at the moment I'm willing to chalk it up to not knowing enough about how NumPy does things. So I'm off to go read more...