roads = to_dict(data.roads)
score = 0
visited = set()
for path in vehicle_paths:
for i in xrange(len(path) - 1):
road = roads[path[i]][path[i + 1]]
edge = (min(road.left, road.right), max(road.left, road.right))
if edge in visited:
continue
visited.add(edge)
score += road.distance
return score
if __name__ == '__main__':
data = input.file_to_data('data/paris_54000.txt')
N = int(sys.argv[1])
best_score = 0
for i in range(N):
vehicle_paths = algo.run(data)
score = get_score(data, vehicle_paths)
if score > best_score:
best_score = score
best_result = vehicle_paths
path_name = "answers/answer.txt"
print best_score
output.output(vehicle_paths, path_name)
import io.input as input
import io.output as output
import algorithms.best_local_path as algo
from algorithms.tools import to_dict
data = input.file_to_data('data/paris_54000.txt')
vehicle_paths = algo.run(data)
output.output(vehicle_paths)
# print "#" * 100
# score = 0
# for p in vehicle_paths:
# for j in xrange(len(p) - 1):
# for road in data.roats:
# if road.left, road.right == (p[j], p[j + 1])
# print data.roads[0]
