使用python编写这个程序

在Python中，你可以使用内置的`queue`模块（类似于Java的`java.util.Queue`）来模拟这个排队系统。下面是一个简化版的Python程序示例，仅包含核心功能。实际应用可能需要更复杂的错误处理和优化。这里我们先定义一个`Customer`类，然后构建一个`Bank`类来管理窗口和服务。

import random
from collections import deque

class Customer:
    def __init__(self, arrival_time, processing_time):
        self.arrival_time = arrival_time
        self.processing_time = processing_time

class Queue:
    def __init__(self, max_size=M):
        self.queue = deque(maxlen=max_size)

    def is_full(self):
        return len(self.queue) == self.max_size

    def enqueue(self, customer):
        if not self.is_full():
            self.queue.append(customer)

    def dequeue(self):
        if not self.is_empty():
            return self.queue.popleft()

    def is_empty(self):
        return len(self.queue) == 0

class Bank:
    def __init__(self, max_window=MaxWindow):
        self.windows = [Queue(M) for _ in range(max_window)]
        self.waiting_area = deque()

    def process_next_customer(self):
        # Find the shortest queue and pop its first customer
        shortest_queue = min((i, q) for i, q in enumerate(self.windows) if not q.is_empty(), key=lambda x: x[1].is_empty())
        if shortest_queue[1].is_empty():
            return  # No more customers to serve
        else:
            customer = shortest_queue[1].dequeue()
            total_wait_time = customer.arrival_time - customer.processing_time
            # Simulate service time
            self.waiting_area.appendleft(customer)  # Add back to waiting area after service
            print(f"Customer {customer} waited for {total_wait_time} seconds")
            return total_wait_time

    def simulate_customers(self, customers):
        total_wait_time = 0
        for customer in customers:
            wait_time = self.process_next_customer()
            if wait_time:
                total_wait_time += wait_time
        avg_wait_time = total_wait_time / len(customers)
        print(f"Average waiting time: {avg_wait_time}")

# Example usage
customers = [Customer(random.randint(0, 100), random.randint(1, 10)) for _ in range(K)]  # Generate sample customers
bank = Bank()
bank.simulate_customers(customers)

这个程序首先定义了顾客和队列类，接着创建一个银行类，其中维护了多个队列和一个等待区域。`process_next_customer`方法负责找到最短队列的服务机会，模拟服务过程并更新平均等待时间。最后，在`simulate_customers`函数中，生成随机的顾客并模拟整个服务过程。

注意：此代码仅为简化演示，实际运行时可能需要调整参数值、添加更多细节，比如顾客到达的动态控制等。