This error started showing up in the test suite for mpl when using numpy master.
AttributeError: incompatible shape for a non-contiguous array The tracebacks all point back to various code points where we are trying to set the shape of an array, e.g., offsets.shape = (-1, 2) Those lines haven't changed in a couple of years, and was intended to be done this way to raise an error when reshaping would result in a copy (since we needed to use the original in those places). I don't know how these arrays have become non-contiguous, so I am wondering if there was some sort of attribute that got screwed up somewhere (maybe with views?) Cheers! Ben Root
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