chunk_vacuum.py 文件源码

def run(self, vacuum_class, max_steps=10000):
        scores = []

        for seed in seeds:
            logging.debug('Running seed {}...'.format(seed))
            random.seed(seed)
            dve = RandomDirtyVacuumEnvironment()
            dve.add_to_random_empty_square(vacuum_class())
            step = 0
            steps_to_clean = 0
            while step < max_steps:
                dve.step()
                step += 1
                if not dve.is_clean():
                    steps_to_clean += 1
            scores.append(Result(seed, dve.agents[0].performance,
                steps_to_clean))
        return scores