Description:
In a town, there are N people labelled from 1 to N. There is a rumor that one of these people is secretly the town judge.
If the town judge exists, then:
1.The town judge trusts nobody.
2.Everybody (except for the town judge) trusts the town judge.
3.There is exactly one person that satisfies properties 1 and 2.
You are given trust, an array of pairs trust[i] = [a, b] representing that the person labelled a trusts the person labelled b.
If the town judge exists and can be identified, return the label of the town judge. Otherwise, return -1.
Example 1:
Input: N = 2, trust = [[1,2]]
Output: 2
Example 2:
Input: N = 3, trust = [[1,3],[2,3]]
Output: 3
Example 3:
Input: N = 3, trust = [[1,3],[2,3],[3,1]]
Output: -1
Example 4:
Example 4:
Input: N = 3, trust = [[1,2],[2,3]]
Output: -1
Example 5:
Example 5:
Input: N = 4, trust = [[1,3],[1,4],[2,3],[2,4],[4,3]]
Output: 3
Note:
1.1 <= N <= 1000
2,trust.length <= 10000
3.trust[i] are all different
4.trust[i][0] != trust[i][1]
5.1 <= trust[i][0], trust[i][1] <= N
Analysis:
The problem is interesting. My first thought was to use DSU, DSU is used to connect two different parts of a graph which don’t share a common root node into one part. However, trust[i] = [a, b] only represents that node a trusts node b, it doesn’t mean node a trust node b 's ancestor nodes. Though by using DSU we may find a common root node, but it does’t seem to work.
Actually, what we need to do is to find a unique node whose in-degree is N-1 and out-degree is 0.
Code:
class Solution {
public int findJudge(int N, int[][] trust) {
int[] inDegree = new int[N+1];
int[] outDegree = new int[N+1];
for(int[] oneTrust: trust){
inDegree[oneTrust[1]]++;
outDegree[oneTrust[0]]++;
}
int judgeAmount = 0;
int judgeNumber = 0;
for(int i = 1; i < inDegree.length; i++) {
if(inDegree[i] == N-1 && outDegree[i] == 0) {
judgeAmount++;
judgeNumber = i;
}
}
if(judgeAmount == 1) {
return judgeNumber;
}else{
return -1;
}
}
}