#Kth Shortest Path


    # Find all simple paths from source to target

    # Count the number of paths with length B or less


# Example usage:



if __name__ == '__main__':
    import networkx as nx
    def has_kth_shortest_paths(graph, source, target, k, b):
        paths = nx.all_simple_paths(graph, source, target)
        count = 0
        for path in paths:
            total_length = sum(graph[u][v]['weight'] for u, v in zip(path, path[1:]))
            if total_length <= b:
                count += 1
                if count >= k:
                    return True
        return False
    graph = nx.DiGraph()
    graph.add_edge('A', 'B', weight=2)
    graph.add_edge('B', 'C', weight=3)
    graph.add_edge('C', 'D', weight=4)
    graph.add_edge('D', 'A', weight=5)
    source = 'A'
    target = 'D'
    k = 2
    b = 10
    has_k_shortest = has_kth_shortest_paths(graph, source, target, k, b)
    print("Has K or more distinct paths from {} to {} with total length {} or less: {}".format(source, target, b, has_k_shortest))
