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)
def test_parse_jani_model(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
assert jani_model.name == "die.jani"
assert jani_model.model_type == stormpy.JaniModelType.DTMC
assert not jani_model.has_undefined_constants
description = stormpy.SymbolicModelDescription(jani_model)
assert not description.is_prism_program
assert description.is_jani_model
def test_build_dtmc_from_jani_model(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
model = stormpy.build_model(jani_model)
assert model.nr_states == 13
assert model.nr_transitions == 20
assert model.model_type == stormpy.ModelType.DTMC
assert not model.supports_parameters
assert type(model) is stormpy.SparseDtmc
def test_choice_origins(self):
program, _ = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
a = stormpy.FlatSet()
options = stormpy.BuilderOptions()
options.set_build_with_choice_origins()
model = stormpy.build_sparse_model_with_options(program, options)
a = model.choice_origins.get_edge_index_set(3)
def test_jani_formula(self):
_, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
assert len(properties) == 2
prop = properties[0]
assert isinstance(prop, stormpy.Property)
assert prop.name == "Probability to throw a six"
prop = properties[1]
assert isinstance(prop, stormpy.Property)
assert prop.name == "Expected number of coin flips"
def test_build_dtmc_from_jani_model(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
description = stormpy.SymbolicModelDescription(jani_model)
constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
model = stormpy.build_symbolic_model(instantiated_jani_model)
assert model.nr_states == 677
assert model.nr_transitions == 867
assert model.model_type == stormpy.ModelType.DTMC
assert not model.supports_parameters
assert type(model) is stormpy.SymbolicSylvanDtmc
def test_build_instantiated_dtmc(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
assert jani_model.has_undefined_constants
assert not jani_model.undefined_constants_are_graph_preserving
description = stormpy.SymbolicModelDescription(jani_model)
constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
model = stormpy.build_model(instantiated_jani_model)
assert model.nr_states == 677
assert model.nr_transitions == 867
assert model.model_type == stormpy.ModelType.DTMC
assert not model.supports_parameters
assert type(model) is stormpy.SparseDtmc
def load_model(self, model_file):
self.properties = None
## Obtain the file type from the path.
self.file_type = os.path.splitext(model_file)[1]
self.file_path = model_file
## Parse the pomdp model.
if self.file_type == ".prism":
self.program = stormpy.parse_prism_program(model_file)
elif self.file_type == ".drn":
self.program = None
elif self.file_type == ".jani":
self.program, self.properties = stormpy.parse_jani_model(
model_file)
else:
raise Exception("Model file type not supported")
def test_model_checking_jani_dtmc(self):
jani_model, formulas = stormpy.parse_jani_model(
get_example_path("dtmc", "die.jani"))
formulas = stormpy.eliminate_reward_accumulations(jani_model, formulas)
assert len(formulas) == 2
model = stormpy.build_model(jani_model, formulas)
assert model.nr_states == 13
assert model.nr_transitions == 20
assert len(model.initial_states) == 1
initial_state = model.initial_states[0]
assert initial_state == 0
result = stormpy.model_checking(model, formulas[0])
assert math.isclose(result.at(initial_state), 1 / 6)
result = stormpy.model_checking(model, formulas[1])
assert math.isclose(result.at(initial_state), 11 / 3)
def test_model_checking_jani_dtmc(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
formulas = [properties["Probability to throw a six"], properties["Expected number of coin flips"]]
formulas = stormpy.eliminate_reward_accumulations(jani_model, formulas)
assert len(formulas) == 2
model = stormpy.build_model(jani_model, formulas)
assert model.nr_states == 13
assert model.nr_transitions == 20
assert len(model.initial_states) == 1
initial_state = model.initial_states[0]
assert initial_state == 0
result = stormpy.model_checking(model, formulas[0])
assert math.isclose(result.at(initial_state), 1 / 6)
result = stormpy.model_checking(model, formulas[1])
assert math.isclose(result.at(initial_state), 11 / 3)
def get_jani_program(path):
""" Receives SPN codified in JANI or PNPRO and returns a JANI Model """
if path.lower().endswith(".jani"):
jani_program, properties = stormpy.parse_jani_model(path)
return jani_program
if path.lower().endswith(".pnpro"):
gspn_parser = stormpy.gspn.GSPNParser()
gspn = gspn_parser.parse(path)
jani_builder = stormpy.gspn.GSPNToJaniBuilder(gspn)
jani_program = jani_builder.build()
return jani_program
print("Unsupported file format: {}".format(path))
exit()
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))
def test_jani_formula(self):
_, properties = stormpy.parse_jani_model(
get_example_path("dtmc", "brp.jani"))
for name, prop in properties.items():
assert "Property_brp_" in name
assert isinstance(prop, stormpy.Property)
def test_build_dtmc_with_undefined_constants(self):
jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
assert jani_model.has_undefined_constants
assert not jani_model.undefined_constants_are_graph_preserving
with pytest.raises(stormpy.StormError):
model = stormpy.build_model(jani_model)
def test_information_collection(self):
model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
information = stormpy.collect_information(model)
assert information.nr_automata == 5
assert information.nr_edges == 31
assert information.nr_variables == 18
