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import stormpy import stormpy.logic
class TestModelChecking: def test_state_elimination(self): program = stormpy.parse_program("../examples/dtmc/die/die.pm") formulas = stormpy.parse_formulas_for_program("P=? [ F \"one\" ]", program) model = stormpy.build_model(program, formulas[0]) assert model.nr_states() == 13 assert model.nr_transitions() == 20 result = stormpy.model_checking(model, formulas[0]) assert result == 0.16666666666666663 def test_parametric_state_elimination(self): import pycarl import pycarl.formula program = stormpy.parse_program("../examples/pdtmc/brp/brp_16_2.pm") prop = "P=? [F \"target\"]" formulas = stormpy.parse_formulas_for_program(prop, program) pair = stormpy.build_parametric_model_from_prism_program(program, formulas) model = pair.model assert model.nr_states() == 613 assert model.nr_transitions() == 803 assert model.model_type() == stormpy.ModelType.DTMC assert model.has_parameters() result = stormpy.model_checking(model, formulas[0]) func = result.result_function 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
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