def run_bfs(p):
results = init_results()
progress = len(puzzles) * len(orders)
i = 0
for puzzle in puzzles:
for order in orders:
bfs = BFS(search_order=order)
dim, lay = load_config(os.path.join("puzzles", puzzle))
bfs.model.load_layout(dim, lay)
t = time()
path = bfs.run()
t = round((time() - t) * 1000, 3)
# get the depth from 4x4_depth_00000.txt
depth = int(puzzle.split('_')[1])
if path == -1:
continue
result = {
"path_length": len(path),
"frontier": len(bfs.frontier) + len(bfs.explored),
"explored": len(bfs.explored),
"depth": len(path),
"time": t
}
results["BFS"][order][depth].append(result)
print("BFS progress: {}%".format(round((i / progress) * 100, 2)),
end='\r',
flush=True)
i += 1
# avg_whole, avg_orders
return process_results("BFS", results)
def run(self):
if self.algorithm == "DFS":
self.solution = DFS.run(self.source, self.destinations)
if self.solution is not None:
self.end_time = self.start_time + len(self.solution) - 1
self.end_time = self.end_time % 24
elif self.algorithm == "BFS":
self.solution = BFS.run(self.source, self.destinations)
if self.solution is not None:
self.end_time = self.start_time + len(self.solution) - 1
self.end_time = self.end_time % 24
elif self.algorithm == "UCS":
self.solution = UCS.run(self.start_time, self.source, self.destinations)
if self.solution is not None:
self.end_time = self.solution.pop(0)
else:
raise Exception("Unexpected Algorithm = " + self.algorithm)