基于信用整形（cbs)算法的代码

由于您没有提供更多的上下文和问题，我无法提供完整的代码。但是，我可以给您提供一个基本的代码示例，以便您了解如何使用信用整形（CBS）算法：

def cbs_algorithm(graph, start, goal):
    # Initialize the search queue
    queue = PriorityQueue()
    queue.put((0, start, []))
    
    while not queue.empty():
        # Get the next node to expand
        cost, current, path = queue.get()
        
        # Check if we have reached the goal
        if current == goal:
            return path + [current]
        
        # Check if the node has already been visited
        if current in path:
            continue
        
        # Add the node to the path
        path.append(current)
        
        # Expand the node's neighbors
        for neighbor in graph[current]:
            # Calculate the cost to the neighbor
            neighbor_cost = cost + graph[current][neighbor]
            
            # Add the neighbor to the search queue
            queue.put((neighbor_cost, neighbor, path))
    
    # If we reach this point, the goal cannot be reached
    return None

该代码使用优先队列来实现CBS算法。`graph`参数是一个包含节点和它们的邻居及其距离的字典。`start`和`goal`参数是起点和终点节点。该算法遍历图形，并在找到目标节点时返回一条路径。如果找不到目标节点，则返回`None`。