You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
249 lines
12 KiB
249 lines
12 KiB
import stormpy
|
|
import stormpy.logic
|
|
from helpers.helper import get_example_path
|
|
import pytest
|
|
|
|
|
|
class TestSparseModel:
|
|
def test_build_dtmc_from_prism_program(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
model = stormpy.build_model(program)
|
|
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_build_dtmc_from_prism_program_formulas(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "P=? [F \"one\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_model(program, properties)
|
|
assert model.nr_states == 13
|
|
assert model.nr_transitions == 20
|
|
assert model.model_type == stormpy.ModelType.DTMC
|
|
assert len(model.reward_models) == 0
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SparseDtmc
|
|
|
|
def test_build_dtmc_from_prism_program_reward_formulas(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "R=? [F \"done\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_model(program, properties)
|
|
assert model.nr_states == 13
|
|
assert model.nr_transitions == 20
|
|
assert model.model_type == stormpy.ModelType.DTMC
|
|
assert len(model.reward_models) == 1
|
|
assert not model.reward_models["coin_flips"].has_state_rewards
|
|
assert model.reward_models["coin_flips"].has_state_action_rewards
|
|
for reward in model.reward_models["coin_flips"].state_action_rewards:
|
|
assert reward == 1.0 or reward == 0.0
|
|
assert not model.reward_models["coin_flips"].has_transition_rewards
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SparseDtmc
|
|
|
|
def test_reduce_to_state_based_rewards(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "R=? [F \"done\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_model(program, properties)
|
|
model.reduce_to_state_based_rewards()
|
|
assert len(model.reward_models) == 1
|
|
assert model.reward_models["coin_flips"].has_state_rewards
|
|
assert not model.reward_models["coin_flips"].has_state_action_rewards
|
|
for reward in model.reward_models["coin_flips"].state_rewards:
|
|
assert reward == 1.0 or reward == 0.0
|
|
assert not model.reward_models["coin_flips"].has_transition_rewards
|
|
|
|
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_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_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 test_build_mdp(self):
|
|
program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
|
|
model = stormpy.build_model(program, formulas)
|
|
assert model.nr_states == 169
|
|
assert model.nr_transitions == 435
|
|
assert model.model_type == stormpy.ModelType.MDP
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SparseMdp
|
|
|
|
def test_build_ctmc(self):
|
|
program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
|
|
model = stormpy.build_model(program)
|
|
assert model.nr_states == 12
|
|
assert model.nr_transitions == 22
|
|
assert model.model_type == stormpy.ModelType.CTMC
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SparseCtmc
|
|
model_for_formula = stormpy.build_model(program, formulas)
|
|
assert model_for_formula.nr_states == 12
|
|
assert model_for_formula.nr_transitions == 21
|
|
assert model_for_formula.model_type == stormpy.ModelType.CTMC
|
|
assert not model_for_formula.supports_parameters
|
|
assert type(model_for_formula) is stormpy.SparseCtmc
|
|
|
|
def test_build_pomdp(self):
|
|
program = stormpy.parse_prism_program(get_example_path("pomdp", "maze_2.prism"))
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [F \"goal\"]", program)
|
|
model = stormpy.build_model(program, formulas)
|
|
assert model.nr_states == 15
|
|
assert model.nr_observations == 8
|
|
|
|
def test_build_ma(self):
|
|
program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"), False, True)
|
|
formulas = stormpy.parse_properties_for_prism_program("Pmax=? [ F<=2 s=2 ]", program)
|
|
model = stormpy.build_model(program, formulas)
|
|
assert model.nr_states == 4
|
|
assert model.nr_transitions == 7
|
|
assert model.model_type == stormpy.ModelType.MA
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SparseMA
|
|
|
|
def test_convert_ma_to_ctmc(self):
|
|
program = stormpy.parse_prism_program(get_example_path("ma", "ctmc.ma"), True)
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 s=2 ]", program)
|
|
model = stormpy.build_model(program, formulas)
|
|
assert model.nr_states == 4
|
|
assert model.nr_transitions == 6
|
|
assert model.model_type == stormpy.ModelType.MA
|
|
assert type(model) is stormpy.SparseMA
|
|
|
|
assert model.convertible_to_ctmc
|
|
ctmc = model.convert_to_ctmc()
|
|
assert ctmc.nr_states == 4
|
|
assert ctmc.nr_transitions == 6
|
|
assert ctmc.model_type == stormpy.ModelType.CTMC
|
|
assert type(ctmc) is stormpy.SparseCtmc
|
|
|
|
def test_initial_states(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
|
|
model = stormpy.build_model(program, formulas)
|
|
initial_states = model.initial_states
|
|
assert len(initial_states) == 1
|
|
assert 0 in initial_states
|
|
|
|
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)
|
|
|
|
class TestSymbolicSylvanModel:
|
|
def test_build_dtmc_from_prism_program(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
model = stormpy.build_symbolic_model(program)
|
|
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.SymbolicSylvanDtmc
|
|
|
|
def test_build_dtmc_from_prism_program_formulas(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "P=? [F \"one\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_symbolic_model(program, properties)
|
|
assert model.nr_states == 13
|
|
assert model.nr_transitions == 20
|
|
assert model.model_type == stormpy.ModelType.DTMC
|
|
assert len(model.reward_models) == 0
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SymbolicSylvanDtmc
|
|
|
|
def test_build_dtmc_from_prism_program_reward_formulas(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "R=? [F \"done\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_symbolic_model(program, properties)
|
|
assert model.nr_states == 13
|
|
assert model.nr_transitions == 20
|
|
assert model.model_type == stormpy.ModelType.DTMC
|
|
assert len(model.reward_models) == 1
|
|
assert not model.reward_models["coin_flips"].has_state_rewards
|
|
assert model.reward_models["coin_flips"].has_state_action_rewards
|
|
assert not model.reward_models["coin_flips"].has_transition_rewards
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SymbolicSylvanDtmc
|
|
|
|
def test_reduce_to_state_based_rewards(self):
|
|
program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
|
|
prop = "R=? [F \"done\"]"
|
|
properties = stormpy.parse_properties_for_prism_program(prop, program, None)
|
|
model = stormpy.build_symbolic_model(program, properties)
|
|
model.reduce_to_state_based_rewards()
|
|
assert len(model.reward_models) == 1
|
|
assert model.reward_models["coin_flips"].has_state_rewards
|
|
assert not model.reward_models["coin_flips"].has_state_action_rewards
|
|
assert not model.reward_models["coin_flips"].has_transition_rewards
|
|
|
|
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_mdp(self):
|
|
program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
|
|
model = stormpy.build_symbolic_model(program, formulas)
|
|
assert model.nr_states == 169
|
|
assert model.nr_transitions == 435
|
|
assert model.model_type == stormpy.ModelType.MDP
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SymbolicSylvanMdp
|
|
|
|
def test_build_ctmc(self):
|
|
program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
|
|
model = stormpy.build_symbolic_model(program, formulas)
|
|
assert model.nr_states == 12
|
|
assert model.nr_transitions == 21
|
|
assert model.model_type == stormpy.ModelType.CTMC
|
|
assert not model.supports_parameters
|
|
assert type(model) is stormpy.SymbolicSylvanCtmc
|
|
|
|
def test_build_ma(self):
|
|
program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"))
|
|
formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=2 s=2 ]", program)
|
|
with pytest.raises(Exception):
|
|
model = stormpy.build_symbolic_model(program, formulas)
|