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226 lines
11 KiB
226 lines
11 KiB
import stormpy
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import stormpy.logic
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from helpers.helper import get_example_path
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import pytest
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class TestSparseModel:
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def test_build_dtmc_from_prism_program(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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model = stormpy.build_model(program)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseDtmc
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def test_build_dtmc_from_prism_program_formulas(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "P=? [F \"one\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_model(program, properties)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert len(model.reward_models) == 0
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseDtmc
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def test_build_dtmc_from_prism_program_reward_formulas(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "R=? [F \"done\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_model(program, properties)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert len(model.reward_models) == 1
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assert not model.reward_models["coin_flips"].has_state_rewards
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assert model.reward_models["coin_flips"].has_state_action_rewards
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for reward in model.reward_models["coin_flips"].state_action_rewards:
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assert reward == 1.0 or reward == 0.0
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assert not model.reward_models["coin_flips"].has_transition_rewards
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseDtmc
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def test_reduce_to_state_based_rewards(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "R=? [F \"done\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_model(program, properties)
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model.reduce_to_state_based_rewards()
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assert len(model.reward_models) == 1
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assert model.reward_models["coin_flips"].has_state_rewards
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assert not model.reward_models["coin_flips"].has_state_action_rewards
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for reward in model.reward_models["coin_flips"].state_rewards:
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assert reward == 1.0 or reward == 0.0
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assert not model.reward_models["coin_flips"].has_transition_rewards
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def test_build_dtmc_from_jani_model(self):
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jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
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model = stormpy.build_model(jani_model)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseDtmc
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def test_build_dtmc_with_undefined_constants(self):
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jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
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assert jani_model.has_undefined_constants
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assert not jani_model.undefined_constants_are_graph_preserving
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with pytest.raises(stormpy.StormError):
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model = stormpy.build_model(jani_model)
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def test_build_instantiated_dtmc(self):
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jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
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assert jani_model.has_undefined_constants
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assert not jani_model.undefined_constants_are_graph_preserving
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description = stormpy.SymbolicModelDescription(jani_model)
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constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
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instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
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model = stormpy.build_model(instantiated_jani_model)
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assert model.nr_states == 677
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assert model.nr_transitions == 867
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assert model.model_type == stormpy.ModelType.DTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseDtmc
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def test_build_mdp(self):
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program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 169
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assert model.nr_transitions == 435
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assert model.model_type == stormpy.ModelType.MDP
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseMdp
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def test_build_ctmc(self):
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program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
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model = stormpy.build_model(program)
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assert model.nr_states == 12
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assert model.nr_transitions == 22
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assert model.model_type == stormpy.ModelType.CTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseCtmc
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model_for_formula = stormpy.build_model(program, formulas)
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assert model_for_formula.nr_states == 1
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assert model_for_formula.nr_transitions == 1
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assert model_for_formula.model_type == stormpy.ModelType.CTMC
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assert not model_for_formula.supports_parameters
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assert type(model_for_formula) is stormpy.SparseCtmc
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def test_build_pomdp(self):
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program = stormpy.parse_prism_program(get_example_path("pomdp", "maze_2.prism"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [F \"goal\"]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 16
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assert model.nr_observations == 8
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def test_build_ma(self):
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program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"), False, True)
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formulas = stormpy.parse_properties_for_prism_program("Pmax=? [ F<=2 s=2 ]", program)
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model = stormpy.build_model(program, formulas)
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assert model.nr_states == 4
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assert model.nr_transitions == 7
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assert model.model_type == stormpy.ModelType.MA
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assert not model.supports_parameters
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assert type(model) is stormpy.SparseMA
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def test_initial_states(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
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model = stormpy.build_model(program, formulas)
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initial_states = model.initial_states
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assert len(initial_states) == 1
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assert 0 in initial_states
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class TestSymbolicSylvanModel:
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def test_build_dtmc_from_prism_program(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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model = stormpy.build_symbolic_model(program)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanDtmc
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def test_build_dtmc_from_prism_program_formulas(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "P=? [F \"one\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_symbolic_model(program, properties)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert len(model.reward_models) == 0
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanDtmc
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def test_build_dtmc_from_prism_program_reward_formulas(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "R=? [F \"done\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_symbolic_model(program, properties)
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assert model.nr_states == 13
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assert model.nr_transitions == 20
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assert model.model_type == stormpy.ModelType.DTMC
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assert len(model.reward_models) == 1
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assert not model.reward_models["coin_flips"].has_state_rewards
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assert model.reward_models["coin_flips"].has_state_action_rewards
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assert not model.reward_models["coin_flips"].has_transition_rewards
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanDtmc
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def test_reduce_to_state_based_rewards(self):
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program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
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prop = "R=? [F \"done\"]"
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properties = stormpy.parse_properties_for_prism_program(prop, program, None)
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model = stormpy.build_symbolic_model(program, properties)
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model.reduce_to_state_based_rewards()
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assert len(model.reward_models) == 1
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assert model.reward_models["coin_flips"].has_state_rewards
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assert not model.reward_models["coin_flips"].has_state_action_rewards
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assert not model.reward_models["coin_flips"].has_transition_rewards
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def test_build_dtmc_from_jani_model(self):
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jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
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description = stormpy.SymbolicModelDescription(jani_model)
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constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
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instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
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model = stormpy.build_symbolic_model(instantiated_jani_model)
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assert model.nr_states == 677
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assert model.nr_transitions == 867
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assert model.model_type == stormpy.ModelType.DTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanDtmc
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def test_build_mdp(self):
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program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
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model = stormpy.build_symbolic_model(program, formulas)
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assert model.nr_states == 169
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assert model.nr_transitions == 435
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assert model.model_type == stormpy.ModelType.MDP
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanMdp
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def test_build_ctmc(self):
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program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
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model = stormpy.build_symbolic_model(program, formulas)
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assert model.nr_states == 12
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assert model.nr_transitions == 22
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assert model.model_type == stormpy.ModelType.CTMC
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assert not model.supports_parameters
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assert type(model) is stormpy.SymbolicSylvanCtmc
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def test_build_ma(self):
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program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"))
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formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=2 s=2 ]", program)
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with pytest.raises(Exception):
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model = stormpy.build_symbolic_model(program, formulas)
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