# print("---- Phase " + str(phase_id + 1) + " ----")
for _ in range(phase_length): # For every round in the phase
# print("-- Round " + str(round_id) + " --")
# Sample new nodes from the environment
new_nodes = environment.get_new_nodes(phase_id)
# Add those new nodes to the graph (mapping the id returned by the environment into the correct Class_Algo)
for (class_id, time_to_stay) in new_nodes:
node_class = get_algo_class(contextualized_algo_classes,
class_id, round_id)
graph.add_node(node_class, time_to_stay)
# Run the end_round routine of the graph, to update the time_to_stay for each node
graph.end_round_routine()
node_count_per_iteration.append(len(graph.nodes))
edge_count_per_iteration.append(len(graph.edges))
plt.plot(node_count_per_iteration)
plt.plot([(i + 0.5) * day_length for i in range(num_days)], [
sum(node_count_per_iteration[i * day_length:(i + 1) * day_length]) /
day_length for i in range(num_days)
])
plt.show()
plt.plot(edge_count_per_iteration)
plt.plot([(i + 0.5) * day_length for i in range(num_days)], [
sum(edge_count_per_iteration[i * day_length:(i + 1) * day_length]) /
day_length for i in range(num_days)
])
