Description

In a town, there are n people labeled 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 an array trust where trust[i] = [ai, bi] representing that the person labeled ai trusts the person labeled bi. If a trust relationship does not exist in trust array, then such a trust relationship does not exist.

Return the label of the town judge if the town judge exists and can be identified, or return -1 otherwise.

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

Constraints:

  • 1 <= n <= 1000
  • 0 <= trust.length <= 104
  • trust[i].length == 2
  • All the pairs of trust are unique.
  • ai != bi
  • 1 <= ai, bi <= n

Submitted Code

class Solution:
    def findJudge(self, n: int, trust: List[List[int]]) -> int:
        candidates = {n: 0 for n in range(1, n+1)}  # 모든 주민을 후보에 넣고 시작
        
        for a, b in trust:
            candidates.pop(a, None)       # a는 후보에서 탈락 (이미 탈락했다면 None 반환)
            if b in candidates:           # b가 아직 후보라면 b를 신뢰하는 사람 +1
                candidates[b] += 1
        
        for k, v in candidates.items():   # 모든 주민들이 신뢰하는 사람이 있는지 확인
            if v == n-1:
                return k
        
        return -1

Runtime: 4 ms | Beats 96.29%
Memory: 21.01 MB | Beats 15.82%

모든 주민들을 딕셔너리에 먼저 넣은 뒤, 누군가를 신뢰하는 주민은 빼고 신뢰받는 주민에는 카운트하는 것이 가장 깔끔하면서 모든 케이스를 커버하는 방법인 것 같다.

Other Solutions

1st

class Solution:
    def findJudge(self, N: int, trust: List[List[int]]) -> int:
        Trusted = [0] * (N+1)
        for (a, b) in trust:
            Trusted[a] -= 1
            Trusted[b] += 1
            
        for i in range(1, len(Trusted)):
            if Trusted[i] == N-1:
                return i
        return -1

time complexity: 𝑂(𝑛)
space complexity: 𝑂(𝑛)

딕셔너리 대신 인덱스를 주민의 숫자로 사용하는 리스트를 사용하는 방법도 있다.

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