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140 lines
7.1 KiB
140 lines
7.1 KiB
import stormpy
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import stormpy.logic
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from helpers.helper import get_example_path
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import math
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class TestModelChecking:
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def test_model_checking_prism_dtmc(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 0
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 1 / 6)
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def test_model_checking_prism_mdp(self):
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program = stormpy.parse_prism_program(get_example_path("mdp", "coin2-2.nm"))
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formulas = stormpy.parse_properties_for_prism_program("Pmin=? [ F \"finished\" & \"all_coins_equal_1\"]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 272
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assert model.nr_transitions == 492
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 0
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 49 / 128, rel_tol=1e-5)
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def test_model_checking_jani_dtmc(self):
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jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
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formulas = [properties["Probability to throw a six"], properties["Expected number of coin flips"]]
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formulas = stormpy.eliminate_reward_accumulations(jani_model, formulas)
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assert len(formulas) == 2
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model = stormpy.build_model(jani_model, formulas)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 0
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 1 / 6)
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result = stormpy.model_checking(model, formulas[1])
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assert math.isclose(result.at(initial_state), 11 / 3)
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def test_model_checking_dtmc_all_labels(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_model(program)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 0
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 1 / 6)
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 1 / 6)
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def test_model_checking_all_dtmc(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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result = stormpy.model_checking(model, formulas[0])
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assert result.result_for_all_states
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reference = [1 / 6, 1 / 3, 0, 2 / 3, 0, 0, 0, 1, 0, 0, 0, 0, 0]
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assert all(map(math.isclose, result.get_values(), reference))
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def test_model_checking_only_initial(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("Pmax=? [F{\"coin_flips\"}<=3 \"one\"]", program)
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model = stormpy.build_model(program, formulas)
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 0
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result = stormpy.model_checking(model, formulas[0], only_initial_states=True)
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assert not result.result_for_all_states
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assert math.isclose(result.at(initial_state), 1 / 8)
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def test_model_checking_prob01(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulaPhi = stormpy.parse_properties("true")[0]
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formulaPsi = stormpy.parse_properties("\"six\"")[0]
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model = stormpy.build_model(program, [formulaPsi])
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phiResult = stormpy.model_checking(model, formulaPhi)
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phiStates = phiResult.get_truth_values()
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assert phiStates.number_of_set_bits() == model.nr_states
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psiResult = stormpy.model_checking(model, formulaPsi)
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psiStates = psiResult.get_truth_values()
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assert psiStates.number_of_set_bits() == 1
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(prob0, prob1) = stormpy.compute_prob01_states(model, phiStates, psiStates)
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assert prob0.number_of_set_bits() == 9
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assert prob1.number_of_set_bits() == 1
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(prob0, prob1) = stormpy.compute_prob01min_states(model, phiStates, psiStates)
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assert prob0.number_of_set_bits() == 9
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assert prob1.number_of_set_bits() == 1
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(prob0, prob1) = stormpy.compute_prob01max_states(model, phiStates, psiStates)
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assert prob0.number_of_set_bits() == 9
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assert prob1.number_of_set_bits() == 1
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labelprop = stormpy.core.Property("cora", formulaPsi.raw_formula)
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result = stormpy.model_checking(model, labelprop)
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assert result.get_truth_values().number_of_set_bits() == 1
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def test_model_checking_ctmc(self):
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model = stormpy.build_model_from_drn(get_example_path("ctmc", "dft.drn"))
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formulas = stormpy.parse_properties("T=? [ F \"failed\" ]")
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assert model.nr_states == 16
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assert model.nr_transitions == 33
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assert len(model.initial_states) == 1
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initial_state = model.initial_states[0]
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assert initial_state == 1
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result = stormpy.model_checking(model, formulas[0])
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assert math.isclose(result.at(initial_state), 4.166666667)
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def test_model_checking_prism_dd_dtmc(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_symbolic_model(program, formulas)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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result = stormpy.check_model_dd(model, formulas[0])
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assert type(result) is stormpy.SymbolicQuantitativeCheckResult
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def test_model_checking_prism_hybrid_dtmc(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_symbolic_model(program, formulas)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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result = stormpy.check_model_hybrid(model, formulas[0])
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assert type(result) is stormpy.HybridQuantitativeCheckResult
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values = result.get_values()
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assert len(values) == 3
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assert math.isclose(values[0], 1 / 6)
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