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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)