GSW_AI_LAB/tempest-py/examples/building_ctmcs/01-building-ctmcs.py

import stormpy

# Check if numpy is available
try:
    import numpy as np
    numpy_found = True
except ModuleNotFoundError:
    numpy_found = False


def example_building_ctmcs_01():
    if not numpy_found:
        print("Numpy not available")
        return

    # Building the transition matrix using numpy
    transitions = np.array([
        [0, 1.5, 0, 0],
        [3, 0, 1.5, 0],
        [0, 3, 0, 1.5],
        [0, 0, 3, 0], ], dtype='float64')

    # Default row groups: [0,1,2,3]
    transition_matrix = stormpy.build_sparse_matrix(transitions)
    print(transition_matrix)

    # State labeling
    state_labeling = stormpy.storage.StateLabeling(4)
    state_labels = {'empty', 'init', 'deadlock', 'full'}
    for label in state_labels:
        state_labeling.add_label(label)

    # Adding label to states
    state_labeling.add_label_to_state('init', 0)
    state_labeling.add_label_to_state('empty', 0)
    state_labeling.add_label_to_state('full', 3)

    # Exit rate for each state
    exit_rates = [1.5, 4.5, 4.5, 3.0]

    # Collect components
    # rate_transitions = True, because the transition values are interpreted as rates
    components = stormpy.SparseModelComponents(transition_matrix=transition_matrix, state_labeling=state_labeling, rate_transitions=True)
    components.exit_rates = exit_rates

    # Build the model
    ctmc = stormpy.storage.SparseCtmc(components)

    print(ctmc)


if __name__ == '__main__':
    example_building_ctmcs_01()