Question
You are given a directed graph on n nodes (0..n-1) as edges [u, v], a source s, and a target t. Find the maximum number of edge-disjoint paths from s to t: paths that may share nodes but where no directed edge is used by more than one path. Return that maximum count (0 if t is unreachable or s == t). Constraints: up to 60 nodes; parallel edges allowed.
max_disjoint_paths(n: int, edges: list[list[int]], s: int, t: int) → int[4,[[0,1],[0,2],[1,3],[2,3]],0,3]out2State 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.
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.