"trusted code based on NumPy" <- (Just to note, a number of NumPy's routines have seemingly known numerical instability issues; I would not trust it, and was burned by it badly a few months ago. If you've used a specific function before and it seemed to work, then that's great; but if you haven't: watch out.)