On Wed, Dec 12, 2012 at 3:20 PM, Ralf Gommers <[email protected]> wrote: > For numpy indexing this may not be appropriate though; checking every index > value used could slow things down and/or be quite disruptive.
For array fancy indices, a dtype check on the entire array would suffice. For lists and scalars, I doubt it'd be substantial amount of overhead compared to the overhead that already exists (for lists, I'm not totally sure whether these are coerced to arrays first -- if they are, the dtype check need only be performed once after that). At any rate, a benchmark of any proposed solution is in order. David _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
