I see. No, most NumPy arrays are C-contiguous. Multi-dimmensional arraysare contiguous, too.Non C-contiguous arrays arise mostly during slicing or if they'reFortran-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 copiedbecause the alignment requirements changed.I really prefer a simple rule for memoryview: If the data is C-contiguous,you get the fast path.