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import stormpy import stormpy.core import stormpy.info
import pycarl import pycarl.core
import stormpy.examples import stormpy.examples.files
import stormpy._config as config
def example_parametric_models_02(): # Check support for parameters if not config.storm_with_pars: print("Support parameters is missing. Try building storm-pars.") return
import stormpy.pars from pycarl.formula import FormulaType, Relation if stormpy.info.storm_ratfunc_use_cln(): import pycarl.cln.formula else: import pycarl.gmp.formula
path = stormpy.examples.files.prism_pdtmc_die prism_program = stormpy.parse_prism_program(path)
formula_str = "P=? [F s=7 & d=2]" properties = stormpy.parse_properties_for_prism_program(formula_str, prism_program) model = stormpy.build_parametric_model(prism_program, properties)
initial_state = model.initial_states[0] result = stormpy.model_checking(model, properties[0]) print("Result: {}".format(result.at(initial_state)))
collector = stormpy.ConstraintCollector(model) print("Well formed constraints:") for formula in collector.wellformed_constraints: print(formula.get_constraint()) print("Graph preserving constraints:") for formula in collector.graph_preserving_constraints: print(formula.get_constraint())
if __name__ == '__main__': example_parametric_models_02()
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