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86 lines
4.4 KiB
86 lines
4.4 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_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), 0.16666666666666663)
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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 = [0.16666666666666663, 0.3333333333333333, 0, 0.6666666666666666, 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_parametric_state_elimination(self):
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import pycarl
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import pycarl.formula
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program = stormpy.parse_prism_program(get_example_path("pdtmc", "brp16_2.pm"))
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prop = "P=? [F s=5]"
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formulas = stormpy.parse_properties_for_prism_program(prop, program)
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model = stormpy.build_parametric_model(program, formulas)
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assert model.nr_states == 613
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assert model.nr_transitions == 803
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assert model.model_type == stormpy.ModelType.DTMC
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assert model.has_parameters
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result = stormpy.model_checking(model, formulas[0])
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func = result.result_function
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one = pycarl.FactorizedPolynomial(pycarl.Rational(1))
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assert func.denominator == one
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constraints_well_formed = result.constraints_well_formed
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for constraint in constraints_well_formed:
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assert constraint.rel() == pycarl.formula.Relation.GEQ or constraint.rel() == pycarl.formula.Relation.LEQ
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constraints_graph_preserving = result.constraints_graph_preserving
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for constraint in constraints_graph_preserving:
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assert constraint.rel() == pycarl.formula.Relation.GREATER
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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 == 0
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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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