> If your arrays are contiguous, you don't really need the strides (use the itemsize instead). How is ndarray broken by this?
ndarray is broken by this change because it expects the stride to be a multiple of the itemsize (I think; I'm just looking at code here, as I haven't had time to build NumPy 1.8 yet to test this); it has a slightly more restricted model for what data can look like than NumPy has, and it's easier to always just look at the stride for all sizes rather than special-case for size=1. I think that means the bug is ndarray's (indeed, it's probably the kind of bug this new behavior was intended to catch, as I should be handling the case of non-itemsize-multiple strides more gracefully even when size > 1), and I'm working on a fix for it there now. Thanks, Neil, for bringing this to my attention, and to all the NumPy dev's for help in explaining what's going on. Jim
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