The policy system provides a way for users to ensure that they get a network with certain traits. For example being sure that the network they get has all of the proton proton reactions in its base reaction set. This is an extensible system which is intended to be used by researchers to build various determanistic network policies to make network results more reproducable
GridFire can now (to a very limited degree) approximate the abilities of pynucastro in so far as it can not just solve an engine but it can also export it to a python file. Currently only the rates are exported so no solver can yet be used (since things like the rest of the RHS and the jacobian are missing) but this is a step in that direction
Added new ways to select exactly what types of reactions (strong, beta+, beta-, electron capture, positron capture, or any combination thereof) can be turned on at network construction time. There are a few quality of life masks added as well such as weak which addes all weak type reactions, and all which adds weak + strong reactions. The default is to just add strong reactions for now.
previousl the sparsity calculations for the jacobian matrix were completly broken. The method subgraph_sparsity was returning that all derivities were only depenednt on temperature and density. It should have been reporting that they also depended on some of the abundances. This was resolved by switching to a different structural sparsity engine (for_jac_sparsity). This bug had turned the solver into a fixed point iteration solver which failed for the stiff system we have. Now that it is resolved the solver can once again evolved over Gyr timescales.
Previously, due to a indexing issue, reverse rates were sometimes included in the forward rates for strong reactions. This lead to erroneously high molar reaction flows for some reactions. This has been resolved so now each logical reaction set is guareteed to include only either forward reactions or reverse reactions (not both)
All jacobian calculations were broken because the indexing used to record the AD tape was broken (see not parallel to) the indexing used by the composition object. A fix for this was to sort the network species by mass. However, more generally we should introduce a mechanism to ensure these two indexed sets always remain parallel
Major weak rate progress which includes: A refactor of many of the public interfaces for GridFire Engines to use composition objects as opposed to raw abundance vectors. This helps prevent index mismatch errors. Further, the weak reaction class has been expanded with the majority of an implimentation, including an atomic_base derived class to allow for proper auto diff tracking of the interpolated table results. Some additional changes are that the version of fourdst and libcomposition have been bumped to versions with smarter caching of intermediate vectors and a few bug fixes.
