The source code and dockerfile for the GSW2024 AI Lab.
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import stormpy
import stormpy.core
import pycarl
import pycarl.core
import stormpy.examples
import stormpy.examples.files
import stormpy._config as config
def example_parametric_models_01():
# Check support for parameters
if not config.storm_with_pars:
print("Support parameters is missing. Try building storm-pars.")
return
import stormpy.pars
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)
print("Model supports parameters: {}".format(model.supports_parameters))
parameters = model.collect_probability_parameters()
assert len(parameters) == 2
instantiator = stormpy.pars.PDtmcInstantiator(model)
point = dict()
for x in parameters:
print(x.name)
point[x] = stormpy.RationalRF(0.4)
instantiated_model = instantiator.instantiate(point)
result = stormpy.model_checking(instantiated_model, properties[0])
print(result)
if __name__ == '__main__':
example_parametric_models_01()