Original ticket http://projects.scipy.org/numpy/ticket/823 on 2008-06-17 by @teoliphant, assigned to unknown.

The numpy.bool_ scalar should be allowed for masked-indexing of size-1 arrays. Currently, if x is a 0-d array, then x>3 is a numpy.bool_ objects and for a 0-d array y[x>3] will fail, while it should succeed as if numpy.bool_ were a 0-d array of boolean datatype.

This is related to Ticket #1319. There are some questions about whether or not 0-d arrays should be be "maskable". I think they should be maskable and return a size-0 array if the mask does not succeed.