Filter column indices of sparse matrix to ensure non-negativity #576
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In Issue #573, I observed that
scipy
s compressed sparse column matrix was throwing an exception about specification of negative indices. I traced this issue to the column specification in the C++ implementation of RMTB.I could not figure out what precisely was going wrong. However, by simply replacing all negative column indices with zeros, I found that the unit tests pass. This is in no way a permanent solution, but given the lack of shared understanding of this code, it is preferable to it being fully nonfunctional.
While we're at it, replace all internal
int
s bylong
in order to support larger model sizes, similar to the diff made in RMTC.