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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.pomdp
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_pomdp_maze
prism_program = stormpy.parse_prism_program(path)
formula_str = "P=? [\"goal\"]"
properties = stormpy.parse_properties_for_prism_program(formula_str, prism_program)
pomdp = stormpy.build_model(prism_program, properties)
pomdp = stormpy.pomdp.make_canonic(pomdp)
pomdp = stormpy.pomdp.make_simple(pomdp)
memory_builder = stormpy.pomdp.PomdpMemoryBuilder()
memory = memory_builder.build(stormpy.pomdp.PomdpMemoryPattern.selective_counter, 2)
pomdp = stormpy.pomdp.unfold_memory(pomdp, memory)
pmc = stormpy.pomdp.apply_unknown_fsc(pomdp, stormpy.pomdp.PomdpFscApplicationMode.simple_linear)
stormpy.export_parametric_to_drn(pmc, "test.out")
if __name__ == '__main__':
example_parametric_models_02()