def setUp(self):
self.p2 = air_cargo_p2()
def setUp(self):
self.p2 = air_cargo_p2()
from my_air_cargo_problems import (
air_cargo_p1,
air_cargo_p2,
air_cargo_p3,
)
from aimacode.search import (breadth_first_search, astar_search,
breadth_first_tree_search,
depth_first_graph_search, uniform_cost_search,
greedy_best_first_graph_search,
depth_limited_search, recursive_best_first_search)
from run_search import run_search
if __name__ == '__main__':
p2 = air_cargo_p2()
print("Initial state for this problem is {}".format(p2.initial))
#print("Actions for this domain are:")
#for a in p2.actions_list:
# print(' {}{}'.format(a.name, a.args))
#print("Fluents in this problem are:")
#for f in p2.state_map:
# print(' {}'.format(f))
print("Goal requirement for this problem are:")
for g in p2.goal:
print(' {}'.format(g))
print()
#print("*** Depth Limited Search")
#run_search(p2, depth_limited_search)
#print("*** Breadth First Search")
#run_search(p2, breadth_first_search)
print("*** Depth First Search")
