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