The source code and dockerfile for the GSW2024 AI Lab.
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  1. import stormpy
  2. import stormpy.core
  3. import stormpy.simulator
  4. import stormpy.shields
  5. import stormpy.logic
  6. import stormpy.examples
  7. import stormpy.examples.files
  8. """
  9. Example for the extraction of a Pre Safety Shield
  10. from a model checking result and querying the shield
  11. for allowed choices in a state.
  12. """
  13. def pre_shield_extraction():
  14. path = stormpy.examples.files.prism_mdp_lava_simple
  15. formula_str = "Pmax=? [G !\"AgentIsInLavaAndNotDone\"]"
  16. program = stormpy.parse_prism_program(path)
  17. formulas = stormpy.parse_properties_for_prism_program(formula_str, program)
  18. options = stormpy.BuilderOptions([p.raw_formula for p in formulas])
  19. options.set_build_state_valuations(True)
  20. options.set_build_choice_labels(True)
  21. options.set_build_all_labels()
  22. model = stormpy.build_sparse_model_with_options(program, options)
  23. initial_state = model.initial_states[0]
  24. assert initial_state == 0
  25. shield_specification = stormpy.logic.ShieldExpression(stormpy.logic.ShieldingType.PRE_SAFETY, stormpy.logic.ShieldComparison.RELATIVE, 0.9)
  26. result = stormpy.model_checking(model, formulas[0], extract_scheduler=True, shield_expression=shield_specification)
  27. assert result.has_scheduler
  28. assert result.has_shield
  29. shield = result.shield
  30. pre_scheduler = shield.construct()
  31. for state_id in model.states:
  32. choices = pre_scheduler.get_choice(state_id)
  33. print(F"Allowed choices in state {state_id}, are {choices.choice_map} ")
  34. if __name__ == '__main__':
  35. pre_shield_extraction()