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This PR implements the suggestion in issue #386. It's still a work in progress, but here's a high level summary.
I created hashes for all of the stage 2 scripts and datasets and saved them in
datahashes.json. The stage 2 scripts then compare these hashes, the targets, and the factors before running the LP model. If all of these are equal for a given year, the solver is skipped and the weights we already have are used again. I believe that these checks will be sufficient to catch any changes that would effect the final weights. All of the initial hash values are created byinithash.py. If the input files are changed, they'll need to be updated after creating the new weights.For some reason, the PUF weights are being changed right now even after skipping the solver. I need to get to the bottom of that bug before this PR is ready to merge. I also think it should be merged after we switch solvers and after #387.