The source code and dockerfile for the GSW2024 AI Lab.
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import stormpy
def example_building_dtmcs_01():
# Use the SparseMatrixBuilder for constructing the transition matrix
builder = stormpy.SparseMatrixBuilder(rows=0, columns=0, entries=0, force_dimensions=False,
has_custom_row_grouping=False)
# New Transition from state 0 to target state 1 with probability 0.5
builder.add_next_value(row=0, column=1, value=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)
# Add transitions for the final states
for s in range(7, 13):
builder.add_next_value(s, s, 1)
# Build matrix
transition_matrix = builder.build()
print(transition_matrix)
# State labeling
state_labeling = stormpy.storage.StateLabeling(13)
# Add labels
labels = {'init', 'one', 'two', 'three', 'four', 'five', 'six', 'done', 'deadlock'}
for label in labels:
state_labeling.add_label(label)
# Set label of state 0
state_labeling.add_label_to_state('init', 0)
print(state_labeling.get_states('init'))
# Set remaining labels
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)
# Set label 'done' for multiple states
state_labeling.set_states('done', stormpy.BitVector(13, [7, 8, 9, 10, 11, 12]))
print(state_labeling)
# 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)
components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling,
reward_models=reward_models)
dtmc = stormpy.storage.SparseDtmc(components)
print(dtmc)
if __name__ == '__main__':
example_building_dtmcs_01()