我想知道，一个基于Stackelberg 博弈停车问题的python代码怎么写

对于基于Stackelberg博弈的停车问题，你可以使用Python编写以下代码：

import numpy as np

class ParkingGame:
    def __init__(self, num_spots, cost_per_spot):
        self.num_spots = num_spots
        self.cost_per_spot = cost_per_spot

    def play(self, leader_strategy, follower_strategy):
        leader_payment = self.cost_per_spot * leader_strategy
        follower_payment = self.cost_per_spot * follower_strategy
        leader_utility = self.num_spots - leader_strategy
        follower_utility = follower_strategy - leader_payment

        return leader_payment, follower_payment, leader_utility, follower_utility

# 示例用法
num_spots = 10
cost_per_spot = 5
game = ParkingGame(num_spots, cost_per_spot)

leader_strategy = np.random.randint(0, num_spots+1)
follower_strategy = np.random.randint(0, num_spots+1)
leader_payment, follower_payment, leader_utility, follower_utility = game.play(leader_strategy, follower_strategy)

print("Leader's strategy:", leader_strategy)
print("Follower's strategy:", follower_strategy)
print("Leader's payment:", leader_payment)
print("Follower's payment:", follower_payment)
print("Leader's utility:", leader_utility)
print("Follower's utility:", follower_utility)

这段代码创建了一个`ParkingGame`类，它表示了一个停车博弈的场景。在`play`方法中，输入领导者和追随者的策略，计算领导者和追随者的支付、效用等信息。

你可以根据你的具体问题，自定义`ParkingGame`类和相关方法，以适应你的实际需求。