def test_AStar_find(mapa='tests/mini.map'):
algorithm = 'astar'
# Inicializa os agentes
world = load_world(mapa)
robot = Robot(world)
agent = InformedAgent(algorithm)
print(f'Estado inicial:')
robot.show()
print(f'Bateria: {robot.max_battery}\n')
solution, state = agent.search(MineState(robot))
if state:
print(f'Resultado final:')
state.robot.show()
print(f'Nós expandidos: {solution.nodes_expanded}')
print(f'Bateria Restante: {state.robot.battery}')
print(f'Ouro Restante: {state.gold}')
print(f'Ouro Total Coletado: {solution.collected_gold}')
print(f'{solution.actions}')
else:
print('Nenhuma solução encontrada para esse experimento.')
return state
def test_LDS_find(mapa='tests/mini.map', limit=0):
algorithm = 'lds'
# Inicializa os agentes
world = load_world(mapa)
robot = Robot(world)
agent = UninformedAgent(algorithm)
_, state = agent.search(
MineState(robot), limit)
return state
def test_goal_improved(self, state: MineState):
if state.parent is not None:
return state.gold > state.parent.gold
return False
def update(self, frontier, updated_state: MineState):
i, old = updated_state.get_equal(frontier)
if updated_state.h() < old.h():
frontier[i] = updated_state
def search_closest(self, start_state):
return self.AStar(start_state, self.test_goal_improved)
if __name__ == '__main__':
from miner.model.world import load_world
w = load_world('./tests/example.map')
r = Robot(w)
ag = InformedAgent('improvedastar')
solution, state = ag.search(MineState(r))
if state:
print(f'Resultado final:')
state.robot.show()
print(f'Nós expandidos: {solution.nodes_expanded}')
print(f'Bateria Restante: {state.robot.battery}')
print(f'Ouro Restante: {state.gold}')
print(f'Ouro Total Coletado: {solution.collected_gold}')
print(f'{solution.actions}')
else:
print('Nenhuma solução encontrada para esse experimento.')
print('Exemplo de entrada: python app.py ./tests/example.map LDS 20')
exit()
limit = 0
if len(sys.argv) > 3:
try:
limit = int(sys.argv[3])
except ValueError:
pass
debugging = False
if 'debug' in sys.argv:
debugging = True
# Inicializa os agentes
world = load_world(mapa)
robot = Robot(world)
if algorithm in UninformedAgent.algorithms:
agent = UninformedAgent(algorithm, debugging)
elif algorithm in InformedAgent.algorithms:
agent = InformedAgent(algorithm, debugging)
else:
print('Algoritmo não implementado.')
exit()
print(f'Estado inicial:')
robot.show()
print(f'Bateria disponível: {robot.max_battery}')
print(f'\nIniciando busca com {algorithm.upper()}...\n')
solution, state = agent.search(