# Defines the network algorithm
net.algorithms = ((DistributedVoronoi, {'informationKey':'axis'}),)
# Assign to node memory its position
for node in net.nodes():
node.memory['axis'] = (int(net.pos[node][0]), int(net.pos[node][1]))
# Creates and starts the simulation
sim = Simulation(net)
sim.run()
# Show the State of the Voronoi Algorith execution
#print net.algorithmState
# Plot voronoi diagram for each node
for node in net.nodes():
try:
while VoronoiDiagram.preview.step(): pass
except AttributeError:
print "%s Insufficient number of nodes to compute voronoi" % node
VoronoiDiagram.stop()
# Writes
#write_npickle(net, "net.gz")
sim.reset()
