from __future__ import annotations def print_distance(distance: list[float], src): print(f"Vertex\tShortest Distance from vertex {src}") for i, d in enumerate(distance): print(f"{i}\t\t{d}") def check_negative_cycle( graph: list[dict[str, int]], distance: list[float], edge_count: int ): for j in range(edge_count): u, v, w = (graph[j][k] for k in ["src", "dst", "weight"]) if distance[u] != float("inf") and distance[u] + w < distance[v]: return True return False def bellman_ford( graph: list[dict[str, int]], vertex_count: int, edge_count: int, src: int ) -> list[float]: """ Returns shortest paths from a vertex src to all other vertices. >>> edges = [(2, 1, -10), (3, 2, 3), (0, 3, 5), (0, 1, 4)] >>> g = [{"src": s, "dst": d, "weight": w} for s, d, w in edges] >>> bellman_ford(g, 4, 4, 0) [0.0, -2.0, 8.0, 5.0] >>> g = [{"src": s, "dst": d, "weight": w} for s, d, w in edges + [(1, 3, 5)]] >>> bellman_ford(g, 4, 5, 0) Traceback (most recent call last): ... Exception: Negative cycle found """ distance = [float("inf")] * vertex_count distance[src] = 0.0 for _ in range(vertex_count - 1): for j in range(edge_count): u, v, w = (graph[j][k] for k in ["src", "dst", "weight"]) if distance[u] != float("inf") and distance[u] + w < distance[v]: distance[v] = distance[u] + w negative_cycle_exists = check_negative_cycle(graph, distance, edge_count) if negative_cycle_exists: raise Exception("Negative cycle found") return distance if __name__ == "__main__": import doctest doctest.testmod() V = int(input("Enter number of vertices: ").strip()) E = int(input("Enter number of edges: ").strip()) graph: list[dict[str, int]] = [dict() for j in range(E)] for i in range(E): print("Edge ", i + 1) src, dest, weight = ( int(x) for x in input("Enter source, destination, weight: ").strip().split(" ") ) graph[i] = {"src": src, "dst": dest, "weight": weight} source = int(input("\nEnter shortest path source:").strip()) shortest_distance = bellman_ford(graph, V, E, source) print_distance(shortest_distance, 0)