Non-homogeneous/hidden dimensions?

[anton-malakhov]

For the sake of hardware efficiency, we might want to store arrays in blocking formats, e.g. (i, j) --> (i, j, j4, i4). But from the point of view of user-experience, it's still good to provide look'n'feel of (i, j). Numpy does not allow creating a low-dimensional view into higher-dimensional array but it could be possible if it'd store internal dimensions for sake of all the C extensions, which would know the real strides while presenting 'interface' dimensions to user. Would this kind of trick possible with this libndtypes? Thanks!