import stormpy import stormpy.logic from helpers.helper import get_example_path from configurations import numpy_avail class TestSparseModelComponents: def test_init_default(self): components = stormpy.SparseModelComponents() assert components.state_labeling.get_labels() == set() assert components.reward_models == {} assert components.transition_matrix.nr_rows == 0 assert components.transition_matrix.nr_columns == 0 assert components.markovian_states is None assert components.player1_matrix is None assert not components.rate_transitions # todo mdp # todo pomdp? def test_build_dtmc_from_model_components(self): nr_states = 13 nr_choices = 13 # transition_matrix builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False, has_custom_row_grouping=False, row_groups=0) # Add transitions builder.add_next_value(0, 1, 0.5) builder.add_next_value(0, 2, 0.5) builder.add_next_value(1, 3, 0.5) builder.add_next_value(1, 4, 0.5) builder.add_next_value(2, 5, 0.5) builder.add_next_value(2, 6, 0.5) builder.add_next_value(3, 7, 0.5) builder.add_next_value(3, 1, 0.5) builder.add_next_value(4, 8, 0.5) builder.add_next_value(4, 9, 0.5) builder.add_next_value(5, 10, 0.5) builder.add_next_value(5, 11, 0.5) builder.add_next_value(6, 2, 0.5) builder.add_next_value(6, 12, 0.5) for s in range(7, 13): builder.add_next_value(s, s, 1) # Build transition matrix, update number of rows and columns transition_matrix = builder.build(nr_states, nr_states) # state_labeling state_labeling = stormpy.storage.StateLabeling(nr_states) state_labels = {'init', 'one', 'two', 'three', 'four', 'five', 'six', 'done', 'deadlock'} for label in state_labels: state_labeling.add_label(label) # Add label to one state state_labeling.add_label_to_state('init', 0) state_labeling.add_label_to_state('one', 7) state_labeling.add_label_to_state('two', 8) state_labeling.add_label_to_state('three', 9) state_labeling.add_label_to_state('four', 10) state_labeling.add_label_to_state('five', 11) state_labeling.add_label_to_state('six', 12) state_labeling.set_states('done', stormpy.BitVector(nr_states, [7, 8, 9, 10, 11, 12])) # reward_models reward_models = {} # Create a vector representing the state-action rewards action_reward = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] reward_models['coin_flips'] = stormpy.SparseRewardModel(optional_state_action_reward_vector=action_reward) # state_valuations manager = stormpy.ExpressionManager() var_s = manager.create_integer_variable(name='s') var_d = manager.create_integer_variable(name='d') v_builder = stormpy.StateValuationsBuilder() v_builder.add_variable(var_s) v_builder.add_variable(var_d) for s in range(7): v_builder.add_state(state=s, integer_values=[s, 0]) for s in range(7, 13): v_builder.add_state(state=s, integer_values=[7, s - 6]) state_valuations = v_builder.build(13) # choice origins prism_program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm")) index_to_identifier_mapping = [1, 2, 3, 4, 5, 6, 7, 8, 8, 8, 8, 8, 8] id_to_command_set_mapping = [stormpy.FlatSet() for _ in range(9)] for i in range(1, 8): # 0: no origin id_to_command_set_mapping[i].insert(i - 1) id_to_command_set_mapping[8].insert(7) choice_origins = stormpy.PrismChoiceOrigins(prism_program, index_to_identifier_mapping, id_to_command_set_mapping) # Construct Components components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling, reward_models=reward_models) components.choice_origins = choice_origins components.state_valuations = state_valuations # Build DTMC dtmc = stormpy.storage.SparseDtmc(components) assert type(dtmc) is stormpy.SparseDtmc assert not dtmc.supports_parameters # Test transition matrix assert dtmc.nr_choices == nr_choices assert dtmc.nr_states == nr_states assert dtmc.nr_transitions == 20 assert dtmc.transition_matrix.nr_entries == dtmc.nr_transitions for e in dtmc.transition_matrix: assert e.value() == 0.5 or e.value() == 0 or (e.value() == 1 and e.column > 6) for state in dtmc.states: assert len(state.actions) <= 1 # Test state_labeling assert dtmc.labeling.get_labels() == {'init', 'deadlock', 'done', 'one', 'two', 'three', 'four', 'five', 'six'} # Test reward_models assert len(dtmc.reward_models) == 1 assert not dtmc.reward_models["coin_flips"].has_state_rewards assert dtmc.reward_models["coin_flips"].has_state_action_rewards for reward in dtmc.reward_models["coin_flips"].state_action_rewards: assert reward == 1.0 or reward == 0.0 assert not dtmc.reward_models["coin_flips"].has_transition_rewards # Test choice_labeling assert not dtmc.has_choice_labeling() # Test state_valuations assert dtmc.has_state_valuations() assert dtmc.state_valuations value_s = [None] * nr_states value_d = [None] * nr_states for s in range(0, dtmc.nr_states): value_s[s] = dtmc.state_valuations.get_integer_value(s, var_s) value_d[s] = dtmc.state_valuations.get_integer_value(s, var_d) assert value_s == [0, 1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7] assert value_d == [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6] # Test choice_origins assert dtmc.has_choice_origins() assert dtmc.choice_origins is components.choice_origins assert dtmc.choice_origins.get_number_of_identifiers() == 9 @numpy_avail def test_build_ctmc_from_model_components(self): import numpy as np nr_states = 12 nr_choices = 12 # Build transition_matrix transitions = np.array([ [0, 0.5, 0.5, 200, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0.5, 200, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0.5, 0, 200, 0, 0, 0, 0, 0], [200, 0, 0, 0, 0, 0, 0.5, 0.5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0.5, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 200, 0], [0, 200, 0, 0, 0, 0, 0, 0, 0, 0.5, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype='float64') transition_matrix = stormpy.build_sparse_matrix(transitions) # state_labeling state_labeling = stormpy.storage.StateLabeling(nr_states) # Add labels state_labels = {'init', 'deadlock', 'target'} for label in state_labels: state_labeling.add_label(label) # Add labels to states state_labeling.add_label_to_state('init', 0) state_labeling.set_states('target', stormpy.BitVector(nr_states, [5, 8])) # reward_models reward_models = {} # vector representing state-action rewards action_reward = [0.0, 0.0, 0.0, 0.0, 0.0, 2 / 3, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] reward_models['served'] = stormpy.SparseRewardModel(optional_state_action_reward_vector=action_reward) # vector representing state rewards state_reward = [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0] reward_models['waiting'] = stormpy.SparseRewardModel(optional_state_reward_vector=state_reward) # choice_labeling choice_labeling = stormpy.storage.ChoiceLabeling(nr_choices) choice_labels = {'loop1a', 'loop1b', 'serve1', 'loop2a', 'loop2b', 'serve2'} # Add labels for label in choice_labels: choice_labeling.add_label(label) choice_labeling.set_choices('loop1a', stormpy.BitVector(nr_choices, [0, 2])) choice_labeling.set_choices('loop1b', stormpy.BitVector(nr_choices, [1, 4])) choice_labeling.set_choices('serve1', stormpy.BitVector(nr_choices, [5, 8])) choice_labeling.set_choices('loop2a', stormpy.BitVector(nr_choices, [3, 7])) choice_labeling.set_choices('loop2b', stormpy.BitVector(nr_choices, [6, 9])) choice_labeling.set_choices('serve2', stormpy.BitVector(nr_choices, [10, 11])) # state exit rates exit_rates = [201.0, 200.5, 200.5, 201.0, 200.0, 1.5, 200.5, 200.5, 1.0, 200.0, 1.5, 1.0] # state_valuations manager = stormpy.ExpressionManager() var_s = manager.create_integer_variable(name='s') var_a = manager.create_integer_variable(name='a') var_s1 = manager.create_integer_variable(name='s1') var_s2 = manager.create_integer_variable(name='s2') v_builder = stormpy.StateValuationsBuilder() v_builder.add_variable(var_s) v_builder.add_variable(var_a) v_builder.add_variable(var_s1) v_builder.add_variable(var_s2) v_builder.add_state(state=0, boolean_values=[], integer_values=[1, 0, 0, 0], rational_values=[]) v_builder.add_state(state=1, boolean_values=[], integer_values=[1, 0, 1, 0], rational_values=[]) v_builder.add_state(state=2, boolean_values=[], integer_values=[1, 0, 0, 1], rational_values=[]) v_builder.add_state(state=3, boolean_values=[], integer_values=[2, 0, 0, 0], rational_values=[]) v_builder.add_state(state=4, boolean_values=[], integer_values=[1, 0, 1, 1], rational_values=[]) v_builder.add_state(state=5, boolean_values=[], integer_values=[1, 1, 1, 0], rational_values=[]) v_builder.add_state(state=6, boolean_values=[], integer_values=[2, 0, 0, 1], rational_values=[]) v_builder.add_state(state=7, boolean_values=[], integer_values=[2, 0, 1, 0], rational_values=[]) v_builder.add_state(state=8, boolean_values=[], integer_values=[1, 1, 1, 1], rational_values=[]) v_builder.add_state(state=9, boolean_values=[], integer_values=[2, 0, 1, 1], rational_values=[]) v_builder.add_state(state=10, boolean_values=[], integer_values=[2, 1, 0, 1], rational_values=[]) v_builder.add_state(state=11, boolean_values=[], integer_values=[2, 1, 1, 1], rational_values=[]) state_valuations = v_builder.build(nr_states) # set rate_transitions to True: the transition values are interpreted as rates components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling, reward_models=reward_models, rate_transitions=True) components.choice_labeling = choice_labeling components.exit_rates = exit_rates components.state_valuations = state_valuations ctmc = stormpy.storage.SparseCtmc(components) assert type(ctmc) is stormpy.SparseCtmc assert not ctmc.supports_parameters # Test transition matrix assert ctmc.nr_choices == nr_choices assert ctmc.nr_states == nr_states assert ctmc.nr_transitions == 22 assert ctmc.transition_matrix.nr_columns == nr_states assert ctmc.transition_matrix.nr_rows == nr_choices for e in ctmc.transition_matrix: assert e.value() == 0.5 or e.value() == 0 or e.value() == 200 or e.value() == 1.0 for state in ctmc.states: assert len(state.actions) <= 1 # Test state_labeling assert ctmc.labeling.get_labels() == {'target', 'init', 'deadlock'} # Test reward_models assert len(ctmc.reward_models) == 2 assert not ctmc.reward_models["served"].has_state_rewards assert ctmc.reward_models["served"].has_state_action_rewards assert ctmc.reward_models["served"].state_action_rewards == [0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0] assert not ctmc.reward_models["served"].has_transition_rewards assert ctmc.reward_models["waiting"].has_state_rewards assert not ctmc.reward_models["waiting"].has_state_action_rewards assert ctmc.reward_models["waiting"].state_rewards == [0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0] assert not ctmc.reward_models["waiting"].has_transition_rewards # Test choice_labeling assert ctmc.has_choice_labeling() assert ctmc.choice_labeling.get_labels() == {'loop1a', 'loop1b', 'serve1', 'loop2a', 'loop2b', 'serve2'} # Test state_valuations assert ctmc.has_state_valuations() assert ctmc.state_valuations value_s = [None] * nr_states value_a = [None] * nr_states value_s1 = [None] * nr_states value_s2 = [None] * nr_states for s in range(0, ctmc.nr_states): value_s[s] = ctmc.state_valuations.get_integer_value(s, var_s) value_a[s] = ctmc.state_valuations.get_integer_value(s, var_a) value_s1[s] = ctmc.state_valuations.get_integer_value(s, var_s1) value_s2[s] = ctmc.state_valuations.get_integer_value(s, var_s2) assert value_s == [1, 1, 1, 2, 1, 1, 2, 2, 1, 2, 2, 2] assert value_a == [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1] assert value_s1 == [0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1] assert value_s2 == [0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1] # Test choice_origins assert not ctmc.has_choice_origins() # Test exit_rates assert ctmc.exit_rates == [201.0, 200.5, 200.5, 201.0, 200.0, 1.5, 200.5, 200.5, 1.0, 200.0, 1.5, 1.0] def test_build_ma_from_model_components(self): nr_states = 5 nr_choices = 10 # Build transition_matrix builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False, has_custom_row_grouping=True, row_groups=0) # Row group, state 0 builder.new_row_group(0) # Add Transition for (state) 0 to target states builder.add_next_value(0, 2, 1) builder.add_next_value(1, 2, 1) builder.add_next_value(2, 0, 0.8) builder.add_next_value(2, 1, 0.2) # Row group, state 1 builder.new_row_group(3) # New Transition (state) 1 to target state builder.add_next_value(3, 3, 1) # Row group, state 2 builder.new_row_group(4) # New Transition (state) 1 to target state builder.add_next_value(4, 0, 0.9) builder.add_next_value(4, 4, 0.1) # Row group, state 3 builder.new_row_group(5) # New Transition (state) 1 to target state builder.add_next_value(5, 4, 1) builder.add_next_value(6, 3, 1) # Row group, state 4 builder.new_row_group(7) # New Transition (state) 1 to target state builder.add_next_value(7, 3, 0.5) builder.add_next_value(7, 4, 0.5) builder.add_next_value(8, 3, 1) builder.add_next_value(9, 4, 1) transition_matrix = builder.build(nr_choices, nr_states) # state_labeling state_labeling = stormpy.storage.StateLabeling(nr_states) # Add labels state_labels = {'init', 'deadlock'} for label in state_labels: state_labeling.add_label(label) # Add label to states state_labeling.add_label_to_state('init', 0) # state_valuations manager = stormpy.ExpressionManager() var_s = manager.create_integer_variable(name='s') v_builder = stormpy.StateValuationsBuilder() v_builder.add_variable(var_s) v_builder.add_state(state=0, boolean_values=[], integer_values=[0], rational_values=[]) v_builder.add_state(state=1, boolean_values=[], integer_values=[2], rational_values=[]) v_builder.add_state(state=2, boolean_values=[], integer_values=[1], rational_values=[]) v_builder.add_state(state=3, boolean_values=[], integer_values=[4], rational_values=[]) v_builder.add_state(state=4, boolean_values=[], integer_values=[3], rational_values=[]) state_valuations = v_builder.build(nr_states) # choice origins: prism_program = stormpy.parse_prism_program(get_example_path("ma", "hybrid_states.ma")) index_to_identifier_mapping = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] id_to_command_set_mapping = [stormpy.FlatSet() for _ in range(11)] id_to_command_set_mapping[1].insert(2) id_to_command_set_mapping[2].insert(1) id_to_command_set_mapping[3].insert(0) id_to_command_set_mapping[4].insert(4) id_to_command_set_mapping[5].insert(3) id_to_command_set_mapping[6].insert(9) id_to_command_set_mapping[7].insert(8) id_to_command_set_mapping[8].insert(7) id_to_command_set_mapping[9].insert(6) id_to_command_set_mapping[10].insert(5) choice_origins = stormpy.PrismChoiceOrigins(prism_program, index_to_identifier_mapping, id_to_command_set_mapping) exit_rates = [3.0, 12.0, 10.0, 3.0, 4.0] markovian_states = stormpy.BitVector(5, [0, 1, 2, 3, 4]) # Build components, set rate_transitions to False components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling, rate_transitions=False, markovian_states=markovian_states) components.state_valuations = state_valuations components.choice_origins = choice_origins components.exit_rates = exit_rates ma = stormpy.storage.SparseMA(components) assert type(ma) is stormpy.SparseMA assert not ma.supports_parameters # Test transition matrix assert ma.nr_choices == nr_choices assert ma.nr_states == nr_states assert ma.nr_transitions == 13 assert ma.transition_matrix.nr_columns == nr_states assert ma.transition_matrix.nr_rows == nr_choices # Check row groups assert ma.transition_matrix.get_row_group_start(0) == 0 assert ma.transition_matrix.get_row_group_end(0) == 3 assert ma.transition_matrix.get_row_group_start(1) == 3 assert ma.transition_matrix.get_row_group_end(1) == 4 assert ma.transition_matrix.get_row_group_start(2) == 4 assert ma.transition_matrix.get_row_group_end(2) == 5 assert ma.transition_matrix.get_row_group_start(3) == 5 assert ma.transition_matrix.get_row_group_end(3) == 7 assert ma.transition_matrix.get_row_group_start(4) == 7 assert ma.transition_matrix.get_row_group_end(4) == 10 for e in ma.transition_matrix: assert e.value() == 1.0 or e.value() == 0 or e.value() == 0.8 or e.value() == 0.2 or e.value() == 0.1 or e.value() == 0.5 or e.value() == 0.9 for state in ma.states: assert len(state.actions) <= 3 # Test state_labeling assert ma.labeling.get_labels() == {'deadlock', 'init'} # Test reward_models assert len(ma.reward_models) == 0 # Test choice_labeling assert not ma.has_choice_labeling() # Test state_valuations assert ma.has_state_valuations() value_s = [None] * nr_states for s in range(0, ma.nr_states): value_s[s] = ma.state_valuations.get_integer_value(s, var_s) assert value_s == [0, 2, 1, 4, 3] # Test choice_origins assert ma.has_choice_origins() assert ma.choice_origins.get_number_of_identifiers() == 11 # Test exit_rates assert ma.exit_rates == [3.0, 12.0, 10.0, 3.0, 4.0] # Test markovian states assert ma.markovian_states == stormpy.BitVector(5, [0, 1, 2, 3, 4])