I believe we are converging, and this is pretty much the same design as I advocated. It is similar to boost::ublas.
Storage is one concept. Interpretation of the storage is another concept. Numpy is a combination of a storage and interpretation. Storage could be dense or sparse. Allocated in various ways. Sparse can be implemented in different ways. Interpretation can be 1-d, 2-d. Zero-based, non-zero based. Also there is question of ownership (slices). _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
