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pgcon2023's Issues

TODO

  • Write the src/datagen.py file.
  • Make examples/data_example.json a bigger instance that can be played with in reasonable time.
  • Implement the time limit.
  • Add asserts for data types/ranges (e.g., strictness), goal/rule names, etc.
  • Add the solver status to the results.
    • Optimal: A valid solution has been found, and it has been proven to be the best.
    • Feasible: A valid solution has been found, and it is perhaps the best, but it has not been proven so within the alloted time limit.
    • Infeasible: No valid solution has been found within the time limit (true?), or, it has been proven that no solution exists for the problem (does not apply with out subset of goals/rules here).
  • Describe the model output in the README.
  • Harmonize both models' outputs.
  • Clean up the code a bit and check if there are any TODOs left.
  • Add pgcon2023_slides.pdf once the slides are finalized.
  • Write some tests.

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