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import stormpyimport stormpy.logicfrom helpers.helper import get_example_path
import math
class TestModelChecking: def test_model_checking_prism_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), 1 / 6)
def test_model_checking_prism_mdp(self): program = stormpy.parse_prism_program(get_example_path("mdp", "coin2-2.nm")) formulas = stormpy.parse_properties_for_prism_program("Pmin=? [ F \"finished\" & \"all_coins_equal_1\"]", program) model = stormpy.build_model(program, formulas) assert model.nr_states == 272 assert model.nr_transitions == 492 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), 49 / 128, rel_tol=1e-5)
def test_model_checking_jani_dtmc(self): jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani")) formulas = [properties["Probability to throw a six"], properties["Expected number of coin flips"]] formulas = stormpy.eliminate_reward_accumulations(jani_model, formulas) assert len(formulas) == 2 model = stormpy.build_model(jani_model, 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), 1 / 6) result = stormpy.model_checking(model, formulas[1]) assert math.isclose(result.at(initial_state), 11 / 3)
def test_model_checking_dtmc_all_labels(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) 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), 1 / 6) formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program) result = stormpy.model_checking(model, formulas[0]) assert math.isclose(result.at(initial_state), 1 / 6)
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 = [1 / 6, 1 / 3, 0, 2 / 3, 0, 0, 0, 1, 0, 0, 0, 0, 0] assert all(map(math.isclose, result.get_values(), reference))
def test_model_checking_only_initial(self): program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm")) formulas = stormpy.parse_properties_for_prism_program("Pmax=? [F{\"coin_flips\"}<=3 \"one\"]", program) model = stormpy.build_model(program, formulas) assert len(model.initial_states) == 1 initial_state = model.initial_states[0] assert initial_state == 0 result = stormpy.model_checking(model, formulas[0], only_initial_states=True) assert not result.result_for_all_states assert math.isclose(result.at(initial_state), 1 / 8)
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 == 1 result = stormpy.model_checking(model, formulas[0]) assert math.isclose(result.at(initial_state), 4.166666667)
def test_filter(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), 1 / 6) filter = stormpy.create_filter_initial_states_sparse(model) result.filter(filter) assert result.min == result.max assert math.isclose(result.min, 1 / 6)
def test_model_checking_prism_dd_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_symbolic_model(program, formulas) assert model.nr_states == 13 assert model.nr_transitions == 20 result = stormpy.check_model_dd(model, formulas[0]) assert type(result) is stormpy.SymbolicQuantitativeCheckResult filter = stormpy.create_filter_initial_states_symbolic(model) result.filter(filter) assert result.min == result.max assert math.isclose(result.min, 1 / 6, rel_tol=1e-6)
def test_model_checking_prism_hybrid_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_symbolic_model(program, formulas) assert model.nr_states == 13 assert model.nr_transitions == 20 result = stormpy.check_model_hybrid(model, formulas[0]) assert type(result) is stormpy.HybridQuantitativeCheckResult values = result.get_values() assert len(values) == 3 assert math.isclose(values[0], 1 / 6)
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