import stormpy import stormpy.logic from helpers.helper import get_example_path import math class TestModelChecking: def test_model_checking_dtmc(self): program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm")) formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program) model = stormpy.build_model(program, formulas) assert model.nr_states == 13 assert model.nr_transitions == 20 assert len(model.initial_states) == 1 initial_state = model.initial_states[0] assert initial_state == 0 result = stormpy.model_checking(model, formulas[0]) assert math.isclose(result.at(initial_state), 0.16666666666666663) def test_model_checking_all_dtmc(self): program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm")) formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program) model = stormpy.build_model(program, formulas) assert model.nr_states == 13 assert model.nr_transitions == 20 result = stormpy.model_checking(model, formulas[0]) assert result.result_for_all_states reference = [0.16666666666666663, 0.3333333333333333, 0, 0.6666666666666666, 0, 0, 0, 1, 0, 0, 0, 0, 0] assert all(map(math.isclose, result.get_values(), reference)) def test_parametric_state_elimination(self): import pycarl import pycarl.formula program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm")) prop = "P=? [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 initial_state = model.initial_states[0] assert initial_state == 0 result = stormpy.model_checking(model, formulas[0]) func = result.result.at(initial_state) one = pycarl.FactorizedPolynomial(pycarl.Rational(1)) assert func.denominator == one constraints_well_formed = result.constraints_well_formed for constraint in constraints_well_formed: assert constraint.rel() == pycarl.formula.Relation.GEQ or constraint.rel() == pycarl.formula.Relation.LEQ constraints_graph_preserving = result.constraints_graph_preserving for constraint in constraints_graph_preserving: assert constraint.rel() == pycarl.formula.Relation.GREATER def test_model_checking_prob01(self): program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm")) formulaPhi = stormpy.parse_properties("true")[0] formulaPsi = stormpy.parse_properties("\"six\"")[0] model = stormpy.build_model(program, [formulaPsi]) phiResult = stormpy.model_checking(model, formulaPhi) phiStates = phiResult.get_truth_values() assert phiStates.number_of_set_bits() == model.nr_states psiResult = stormpy.model_checking(model, formulaPsi) psiStates = psiResult.get_truth_values() assert psiStates.number_of_set_bits() == 1 (prob0, prob1) = stormpy.compute_prob01_states(model, phiStates, psiStates) assert prob0.number_of_set_bits() == 9 assert prob1.number_of_set_bits() == 1 (prob0, prob1) = stormpy.compute_prob01min_states(model, phiStates, psiStates) assert prob0.number_of_set_bits() == 9 assert prob1.number_of_set_bits() == 1 (prob0, prob1) = stormpy.compute_prob01max_states(model, phiStates, psiStates) assert prob0.number_of_set_bits() == 9 assert prob1.number_of_set_bits() == 1 labelprop = stormpy.core.Property("cora", formulaPsi.raw_formula) result = stormpy.model_checking(model, labelprop) assert result.get_truth_values().number_of_set_bits() == 1 def test_model_checking_ctmc(self): model = stormpy.build_model_from_drn(get_example_path("ctmc", "dft.drn")) formulas = stormpy.parse_properties("T=? [ F \"failed\" ]") assert model.nr_states == 16 assert model.nr_transitions == 33 assert len(model.initial_states) == 1 initial_state = model.initial_states[0] assert initial_state == 0 result = stormpy.model_checking(model, formulas[0]) assert math.isclose(result.at(initial_state), 4.166666667)