Files
leetcode/apps/docs/content/(04-relational)/union-find/(problems)/684_redundant-connection.mdx
T

66 lines
1.6 KiB
Plaintext

---
title: '684. Redundant Connection'
description: In this problem, a tree is an undirected graph that is connected and has no cycles
icon: dot
topics:
- { name: "Depth-First Search", slug: "depth-first-search" }
- { name: "Breadth-First Search", slug: "breadth-first-search" }
- { name: "Union-Find", slug: "union-find" }
- { name: "Graph Theory", slug: "graph" }
issue: "https://github.com/prdlk/leetcode/issues/146"
sidebar:
label: 'Redundant Connection'
badge: 'Medium'
---
### Example 1:
- Input: `edges = [[1,2],[1,3],[2,3]]`
- Output: `[2,3]`
### Example 2:
- Input: `edges = [[1,2],[2,3],[3,4],[1,4],[1,5]]`
- Output: `[1,4]`
### Constraints:
- `n == edges.length`
- `3 <= n <= 1000`
- `edges[i].length == 2`
- `1 <= ai < bi <= edges.length`
- `ai != bi`
- There are no repeated edges.
- The given graph is connected.
## Solution
```py
class Solution:
def findRedundantConnection(self, edges: list[list[int]]) -> list[int]:
N = len(edges)
par = [i for i in range(N + 1)]
rank = [1] * (N + 1)
def find(n):
if n != par[n]:
par[n] = find(par[n])
return par[n]
def union(n1, n2):
p1, p2 = find(n1), find(n2)
if p1 == p2:
return False
if rank[p1] > rank[p2]:
par[p2] = p1
rank[p1] += rank[p2]
else:
par[p1] = p2
rank[p2] += rank[p1]
return True
for n1, n2 in edges:
if not union(n1, n2):
return [n1, n2]
```