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100 lines
3.4 KiB
100 lines
3.4 KiB
import stormpy
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import numpy as np
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# Knuth's model of a fair die using only fair coins
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def example_building_mdps_01():
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nr_states = 13
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nr_choices = 14
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# Transition matrix with custom row grouping: nondeterministic choice over the actions available in states
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builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False,
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has_custom_row_grouping=True, row_groups=0)
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# New row group, for actions of state 0
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builder.new_row_group(0)
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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, 1, 0.2)
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builder.add_next_value(1, 2, 0.8)
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# State 1
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builder.new_row_group(2)
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builder.add_next_value(2, 3, 0.5)
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builder.add_next_value(2, 4, 0.5)
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# State 2
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builder.new_row_group(3)
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builder.add_next_value(3, 5, 0.5)
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builder.add_next_value(3, 6, 0.5)
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# State 3
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builder.new_row_group(4)
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builder.add_next_value(4, 7, 0.5)
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builder.add_next_value(4, 1, 0.5)
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# State 4
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builder.new_row_group(5)
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builder.add_next_value(5, 8, 0.5)
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builder.add_next_value(5, 9, 0.5)
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# State 5
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builder.new_row_group(6)
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builder.add_next_value(6, 10, 0.5)
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builder.add_next_value(6, 11, 0.5)
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# State 6
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builder.new_row_group(7)
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builder.add_next_value(7, 2, 0.5)
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builder.add_next_value(7, 12, 0.5)
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# Add transitions for the final states
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for s in range(8, 14):
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builder.new_row_group(s)
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builder.add_next_value(s, s - 1, 1)
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transition_matrix = builder.build()
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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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labels = {'init', 'one', 'two', 'three', 'four', 'five', 'six', 'done', 'deadlock'}
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for label in labels:
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state_labeling.add_label(label)
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# Set labeling of states
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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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# Set label 'done' for multiple states
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state_labeling.set_states('done', stormpy.BitVector(nr_states, [7, 8, 9, 10, 11, 12]))
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# Choice labeling
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choice_labeling = stormpy.storage.ChoiceLabeling(nr_choices)
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choice_labels = {'a', 'b'}
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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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# Set labels
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choice_labeling.add_label_to_choice('a', 0)
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choice_labeling.add_label_to_choice('b', 1)
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print(choice_labeling)
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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 = [0.0, 0.0, 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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# Collect components
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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=False)
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components.choice_labeling = choice_labeling
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# Build the model
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mdp = stormpy.storage.SparseMdp(components)
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print(mdp)
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if __name__ == '__main__':
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example_building_mdps_01()
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