The source code and dockerfile for the GSW2024 AI Lab.
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import stormpy import stormpy.core
import stormpy.examples import stormpy.examples.files import stormpy.pomdp
def example_building_models_01(): path = stormpy.examples.files.drn_ctmc_dft model = stormpy.build_model_from_drn(path) print(model.model_type) print("Number of states: {}".format(model.nr_states))
# And the parametric path = stormpy.examples.files.drn_pdtmc_die model = stormpy.build_parametric_model_from_drn(path) print(model.model_type) print("Number of states: {}".format(model.nr_states))
path = stormpy.examples.files.jani_dtmc_die jani_program, properties = stormpy.parse_jani_model(path) model = stormpy.build_model(jani_program) print(model.model_type) print("Number of states: {}".format(model.nr_states))
# POMDPs should be constructed with choice labels path = stormpy.examples.files.drn_pomdp_maze opts = stormpy.DirectEncodingParserOptions() opts.build_choice_labels = True pomdp = stormpy.build_model_from_drn(stormpy.examples.files.drn_pomdp_maze, opts) # POMDPs need to be in a canonic representation pomdp = stormpy.pomdp.make_canonic(pomdp)
if __name__ == '__main__': example_building_models_01()
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