'Topology pickle output path (should be relative to top-level repo dir)',
default='pox/pox/ext/test_topo.pickle')
parser.add_argument(
'--figure9',
help='Output path for Figure 9 (.eps file), defaults to `figure9.eps`',
default='figure9.eps')
args = parser.parse_args()
cleanmn()
##### FIGURE 9 #####
# Generate full graph of randomly connected switches
print "\nGenerating Figure 9\n===================\n"
full_topo = generate_topology(n_servers=686,
n_switches=245,
n_ports=14,
debug=args.debug)
# Calculate the random permutation traffic paths across the graph
link_paths = []
link_paths.append(generate_path_counts(full_topo, 'k-shortest', 8, 18))
link_paths.append(generate_path_counts(full_topo, 'ecmp', 64, 13))
link_paths.append(generate_path_counts(full_topo, 'ecmp', 8, 10))
# Summarize measurements and define display options
cumulative_count_list = [summarize(lps) for lps in link_paths]
format_options = [{
'label': '8 Shortest Paths',
'color': (0.204, 0.216, 0.592),
'linewidth': 4,
'solid_capstyle': 'round',
gs_ci_robots = [None] * N
# gs_sci_robots = [None] * N
for n in range(N):
robots[n] = Robot(_position=initial[2 * n:2 * n + 2])
gs_ci_robots[n] = GS_CI(n, initial.copy())
# gs_sci_robots[n] = GS_SCI(n, initial.copy())
landmarks = [None] * M
for m in range(M):
landmarks[m] = sim_env.Landmark(
m,
np.matrix(sim_env.landmark_position, dtype=float).getT())
# N = 5
topology.generate_topology(N, sim_env.observ_prob, sim_env.comm_prob)
### Network Topology
topo_file = open('topology/output.txt', 'r')
observ_topology = topology.Topology(N)
comm_topology = topology.Topology(N)
edge_num_str = topo_file.readline()
for i in range(int(edge_num_str)):
line = topo_file.readline()
edge = line.split(", ")
observ_topology.add_edge(int(edge[0]), int(edge[1]))