if complex_priority:
sorted_goals = grid.get_goal_priorities(open_goals)
g_cell, g_letter = next(iter(sorted_goals))
goal = (g_letter, g_cell) # reverse
else:
prioritized = prioritized_goals(open_goals)
while not prioritized.empty():
goal = prioritized.get()[1]
if goal[1] in open_goals: break
# reset and start over
MOVES = {i: [] for i in range(NUM_AGENTS)}
next_path = hlp.find_next_path(goal)
#inform(next_path)
# find agent's index
agent_idx = AGENTS.index(grid.agent_position[next_path[0]])
MOVES[agent_idx] = calculate_movements_new(next_path, grid)
align_movements()
while len(MOVES[agent_idx]):
move = next_move()
#inform(move) # debug
print(move) # send to server
server_response = input()
while len(server_response.strip()) == 0:
server_response = input()
if server_response == '\n' or len(server_response) < 1:
server_response = input()
#inform("server response: " + server_response)
update_grid(server_response, move)
if goal is None or goal[1] not in open_goals:
if complex_priority:
sorted_goals = grid.get_goal_priorities(open_goals)
g_cell, g_letter = next(iter(sorted_goals))
goal = (g_letter, g_cell) # reverse
else:
prioritized = prioritized_goals(open_goals)
while not prioritized.empty():
goal = prioritized.get()[1]
if goal[1] in open_goals: break
# reset and start over
MOVES = {i: [] for i in range(NUM_AGENTS)}
next_path = hlp.find_next_path(goal)
#inform(next_path)
# find agent's index
agent_idx = AGENTS.index(grid.agent_position[next_path[0]])
MOVES[agent_idx] = calculate_movements_new(next_path, grid)
align_movements()
while len(MOVES[agent_idx]):
move = next_move()
#inform(move) # debug
print(move) # send to server
server_response = input()
while len(server_response.strip()) == 0:
server_response = input()
if server_response == '\n' or len(server_response) < 1:
server_response = input()
#inform("server response: " + server_response)
update_grid(server_response, move)
(5, 4): "A",
(6, 4): "A",
}
colors = {"green": ["0", "B"]}
for i in range(8):
for j in range(7):
cell = (i, j)
if cell in walls:
print("+", end="")
elif cell in goals:
print(goals[cell], end="")
elif cell in agents:
print(agents[cell], end="")
elif cell in boxes:
print(boxes[cell], end="")
else:
print(" ", end="")
print()
grid = SimpleGrid(walls, goals, boxes, agents, colors, free)
goal = list(goals.keys())[0]
start = list(agents.keys())[0]
agent = grid.agent_position[(1, 1)]
steps = a_star_search(grid, start, goal, agent=agent)
print(steps)
print(calculate_movements_new(steps, grid))
(3, 2): 'A',
(4, 2): 'A',
(2, 3): 'A',
(3, 4): 'A',
(4, 4): 'A',
(5, 4): 'A',
(6, 4): 'A'
}
colors = {'green': ['0', 'B']}
for i in range(8):
for j in range(7):
cell = (i, j)
if cell in walls: print("+", end="")
elif cell in goals: print(goals[cell], end="")
elif cell in agents: print(agents[cell], end="")
elif cell in boxes: print(boxes[cell], end="")
else: print(" ", end="")
print()
grid = SimpleGrid(walls, goals, boxes, agents, colors, free)
goal = list(goals.keys())[0]
start = list(agents.keys())[0]
agent = grid.agent_position[(1, 1)]
steps = a_star_search(grid, start, goal, agent=agent)
print(steps)
print(calculate_movements_new(steps, grid))