def template_dynamic(num_osc, own_weight = -3, neigh_weight = -1, initial_states = None, initial_outputs = None, steps = 1000, time = 10): network = hysteresis_network(num_osc, own_weight, neigh_weight); if (initial_states is not None): network.states = initial_states; if (initial_outputs is not None): network.outputs = initial_outputs; output_dynamic = network.simulate(steps, time); hysteresis_visualizer.show_output_dynamic(output_dynamic); ensembles = output_dynamic.allocate_sync_ensembles(tolerance = 0.5, threshold_steps = 5); print("Allocated synchronous ensembles ( amout:", len(ensembles), "):", ensembles);
def template_dynamic(num_osc, own_weight=-3, neigh_weight=-1, initial_states=None, initial_outputs=None, steps=1000, time=10): network = hysteresis_network(num_osc, own_weight, neigh_weight) if (initial_states is not None): network.states = initial_states if (initial_outputs is not None): network.outputs = initial_outputs output_dynamic = network.simulate(steps, time) hysteresis_visualizer.show_output_dynamic(output_dynamic) ensembles = output_dynamic.allocate_sync_ensembles(tolerance=0.5, threshold_steps=5) print("Allocated synchronous ensembles ( amout:", len(ensembles), "):", ensembles)