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Question
An undirected graph on n nodes (0..n-1) has weighted edges [u, v, w] with positive weights. Among all shortest (minimum total weight) paths from s to t, return the minimum number of edges (hops) used by any such shortest path. Return -1 if t is unreachable. Constraints: 1 <= n <= 10^4; 1 <= w <= 10^6.
Implement
min_hops_on_shortest(n: int, edges: list[list[int]], s: int, t: int) → intExamples
in
[4,[[0,1,1],[1,3,1],[0,2,1],[2,3,1],[0,3,2]],0,3]out1What a strong answer looks like
State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
Learn the concepts
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.
Run or narrate your approach, then ask the coach.