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import stormpy import stormpy.logic from helpers.helper import get_example_path
class TestModelChecking: def test_pla(self): import pycarl program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm")) prop = "P<=0.84 [F s=5 ]" formulas = stormpy.parse_properties_for_prism_program(prop, program) model = stormpy.build_parametric_model(program, formulas) assert model.nr_states == 613 assert model.nr_transitions == 803 assert model.model_type == stormpy.ModelType.DTMC assert model.has_parameters checker = stormpy.SparseDtmcRegionChecker(model) checker.specify_formula(formulas[0].raw_formula) parameters = model.collect_probability_parameters() assert len(parameters) == 2 region = stormpy.ParameterRegion("0.7<=pL<=0.9,0.75<=pK<=0.95", parameters) result = checker.check_region(region) assert result == stormpy.RegionCheckResult.ALLSAT region = stormpy.ParameterRegion("0.4<=pL<=0.65,0.75<=pK<=0.95", parameters) result = checker.check_region(region, stormpy.RegionCheckResult.UNKNOWN, True) assert result == stormpy.RegionCheckResult.EXISTSBOTH region = stormpy.ParameterRegion("0.1<=pL<=0.73,0.2<=pK<=0.715", parameters) result = checker.check_region(region) assert result == stormpy.RegionCheckResult.ALLVIOLATED def test_derivatives(self): import pycarl program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm")) prop = "P<=0.84 [F s=5 ]" formulas = stormpy.parse_properties_for_prism_program(prop, program) model = stormpy.build_parametric_model(program, formulas) assert model.nr_states == 613 assert model.nr_transitions == 803 assert model.model_type == stormpy.ModelType.DTMC assert model.has_parameters parameters = model.collect_probability_parameters() assert len(parameters) == 2 derivatives = stormpy.gather_derivatives(model, list(parameters)[0]) assert len(derivatives) == 0
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