The source code and dockerfile for the GSW2024 AI Lab.
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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()