ValueError: not enough values to unpack (expected 9, got 1)

I am getting a value error (ValueError: not enough values to unpack (expected 9, got 1)). I am not sure how to fix this.Can anyone help me check this out? Thank you in advance!

def play(map, episodes, iterations, eps=1e-6):
    # map.configure(prey_reward, stuck_penalty, agent_max_age)
    agents = map.get_agents()
    directions = [(-1, 0), (0, -1), (1, 0), (0, 1), (0, 0)]
    times = 0
    for episode in range(episodes):
        c = 0
        for t in count():
            t_start = time.time()
            state = map.get_map()
            random.shuffle(agents)

            keys = ["A", "B", "prey"]
            rews = {key: 0 for key in keys}
            counts = {key: 0 for key in keys}
            for agent in agents:
                towards = None
                name = map.vals_to_names[agent.get_type()]
                if agent.is_alive():
                    agent_state = agent.get_state()
                    action = agent.decide(agent_state)
                    towards = directions[action]
                rew = map.step(agent, towards)
                rews[name] += rew
                counts[name] += 1

            map.update()

            map.record(rews)

            next_state = map.get_map()

            time_elapsed = time.time() - t_start
            times += time_elapsed
            avg_time = times / (t + 1)
            print("I: %d\tTime Elapsed: %.2f" % (t+1, avg_time), end='\r')
            if abs(next_state - state).sum() < eps:
                c += 1

            if t == (iterations - 1) or c == 20:
                break

            state = next_state
        map.save(episode)
    print("SIMULATION IS FINISHED.")

if __name__ == '__main__':
    [_, name, iterations, agent_range, prey_reward, max_age, alpha, beta, gamma] = sys.argv
    np.random.seed(1)
    random.seed(1)
    torch.manual_seed(1)

    episodes = 1
    iterations = int(iterations)
    l = Lock()

    args = ["Name",
            "Prey Reward",
            "Stuck Penalty",
            "Death Penalty",
            "Agent Max Age",
            "Agent Field of View"]

    society = Schelling

    play(society((50, 50), agent_range = int(agent_range),
        prey_reward = int(prey_reward), name=name,
        agent_max_age = int(max_age), max_iteration = int(iterations),
        lock=l, alpha=float(alpha), beta=float(beta), gamma=float(gamma)), 1, iterations)

ValueError: not enough values to unpack (expected 9, got 1)

I ran the code and here is the error: ValueError: not enough values to unpack (expected 9, got 1)

source https://stackoverflow.com/questions/74466769/valueerror-not-enough-values-to-unpack-expected-9-got-1