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I see. No, most NumPy arrays are C-contiguous. Multi-dimmensional arrays
are contiguous, too.
Non C-contiguous arrays arise mostly during slicing or if they're
Fortran-order to begin with.
But NumPy aside, it's weird to have slice of a huge regular bytes view
(this particular slice is still C-contiguous) that is suddenly copied
because the alignment requirements changed.
I really prefer a simple rule for memoryview: If the data is C-contiguous,
you get the fast path.