Oct 26, 2018 · """ Time O(n2^n) Space O(n2^n) 732 ms, faster than 6.51% """ class Solution (object): def shortestPathLength (self, graph): m = set() # put the nodes in the queue q = [] for i in range(len(graph)): q.append((i, [i])) # BFS while len(q) > 0: n = len(q) for i in range(n): node, path = q.pop(0) # shortest path must be the first which travelled all the nodes if len(set(path)) == len(graph): return len(path)-1 # u can print the result path here as well # explore paths with adjacent nodes for ...

Seattle police department dispatcher jobsdef bfs_shortest_path(graph, costs, start, goal) We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.

The shortest path between two vertices and in a graph is the path that has the fewest edges. The single-source shortest-path problem requires that we find the shortest path from a single vertex to all other vertices in a graph. The all-pairs shortest-path problem requires that we find the shortest path between all pairs of vertices in a graph ...