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43 lines
1.3 KiB
43 lines
1.3 KiB
import stormpy
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import stormpy.core
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import stormpy.simulator
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import stormpy.shields
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import stormpy.examples
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import stormpy.examples.files
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def optimal_shield_extraction():
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path = stormpy.examples.files.prism_smg_robot
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formula_str = "<Optimal> <<sh>> R{\"travel_costs\"}min=? [ LRA ]"
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program = stormpy.parse_prism_program(path)
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formulas = stormpy.parse_properties_for_prism_program(formula_str, program)
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options = stormpy.BuilderOptions([p.raw_formula for p in formulas])
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options.set_build_state_valuations(True)
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options.set_build_choice_labels(True)
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options.set_build_all_labels()
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model = stormpy.build_sparse_model_with_options(program, options)
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shield_specification = stormpy.logic.ShieldExpression(stormpy.logic.ShieldingType.OPTIMAL)
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result = stormpy.model_checking(model, formulas[0], extract_scheduler=True, shield_expression=shield_specification)
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assert result.has_scheduler
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assert result.has_shield
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shield = result.shield
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state_ids = [x for x in model.states]
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scheduler = shield.construct()
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for state_id in state_ids[0:50]:
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choices = scheduler.get_choice(state_id)
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print(F"Corrections in state {state_id}, are {choices.choice_map} ")
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if __name__ == '__main__':
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optimal_shield_extraction()
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