Allow CQMs to be constructed in storage rather than memory

For very large CQMs, it would be helpful to have something like [numpy.memmap](https://numpy.org/doc/stable/reference/generated/numpy.memmap.html). It would wrap a CQM file, as generated by `CQM.to_file`. Constraints and objectives could then be added directly to storage rather than being stored in memory.