Solving Leetcode Interviews in Seconds with AI: Find the Town Judge
Introduction
In this blog post, we will explore how to solve the LeetCode problem "997" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
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: The town judge trusts nobody. Everybody (except for the town judge) trusts the town judge. 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
Explanation
Here's the breakdown of the solution and the Python code:
- Key Idea: The judge trusts no one, meaning they won't appear in the first position of any
trustpair. Everyone else trusts the judge, meaning the judge will be the second element inn-1trustpairs. We can use an in-degree and out-degree array to keep track of trust relationships. Optimization: We can solve this in a single pass through the
trustarray and then a final linear scan to find the judge, avoiding nested loops.Complexity: O(T + N) time, where T is the length of the
trustarray, and O(N) space, where N is the number of people in the town.
Code
def findJudge(n: int, trust: list[list[int]]) -> int:
"""
Finds the town judge if it exists.
Args:
n: The number of people in the town.
trust: A list of trust relationships, where trust[i] = [ai, bi] means ai trusts bi.
Returns:
The label of the town judge if it exists and can be identified, or -1 otherwise.
"""
if n == 1 and not trust:
return 1
in_degree = [0] * (n + 1)
out_degree = [0] * (n + 1)
for a, b in trust:
out_degree[a] += 1
in_degree[b] += 1
for i in range(1, n + 1):
if in_degree[i] == n - 1 and out_degree[i] == 0:
return i
return -1