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Question
Given a directed weighted graph with n nodes (0..n-1) and edges as [u, v, w] with w >= 0, return the length of the shortest path from node src to node dst. If dst is unreachable from src, return -1. There may be multiple edges between the same pair; use the one giving the shorter total. Self-loops may appear and should be ignored as they never help.
Implement
dijkstra_shortest(n: int, edges: list[list[int]], src: int, dst: int) → intExamples
in
[5,[[0,1,4],[0,2,1],[2,1,1],[1,3,1],[3,4,3]],0,4]out6What 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.