start_overall = time.time()
for sim_name, runs, years, pop_cls, entries in SCENARIOS:
g = nx.read_gpickle(join('data', 'islands.gpickle')) # type: nx.DiGraph
num_agents = 1
save_path = join(SAVE_FOLDER, sim_name)
if not exists(save_path):
os.mkdir(save_path)
for sim_number in xrange(runs):
logger.info('Running Simulation #%d', sim_number)
start_sim = time.time()
# pops = [env.process(population(env, i, islands, START_ISLAND, 1, 1)) for i in xrange(num_agents)]
env = Environment()
env.rainfall = max(1, np.random.normal(RAINFALL, RAINFALL_SD))
islands = {}
to_del = [node for node, data in g.nodes_iter(data=True) if data['area'] < ISLAND_SIZE_CUTOFF_DEG2]
g.remove_nodes_from(to_del)
islands = {node: Island(
env=env,
id=node,
area=data['area'],
perimeter=data['perimeter'],
can_see={
n: {
'ab': d['area'],
'ba': g[n][node]['area'],
def basic_environment():
return Environment()
