LeetCode-in-Java

3143. Maximum Points Inside the Square

Medium

You are given a 2D array points and a string s where, points[i] represents the coordinates of point i, and s[i] represents the tag of point i.

A valid square is a square centered at the origin (0, 0), has edges parallel to the axes, and does not contain two points with the same tag.

Return the maximum number of points contained in a valid square.

Note:

Example 1:

Input: points = [[2,2],[-1,-2],[-4,4],[-3,1],[3,-3]], s = “abdca”

Output: 2

Explanation:

The square of side length 4 covers two points points[0] and points[1].

Example 2:

Input: points = [[1,1],[-2,-2],[-2,2]], s = “abb”

Output: 1

Explanation:

The square of side length 2 covers one point, which is points[0].

Example 3:

Input: points = [[1,1],[-1,-1],[2,-2]], s = “ccd”

Output: 0

Explanation:

It’s impossible to make any valid squares centered at the origin such that it covers only one point among points[0] and points[1].

Constraints:

Solution

import java.util.Arrays;

public class Solution {
    public int maxPointsInsideSquare(int[][] points, String s) {
        int[] tags = new int[26];
        Arrays.fill(tags, Integer.MAX_VALUE);
        int secondMin = Integer.MAX_VALUE;
        for (int i = 0; i < s.length(); i++) {
            int dist = Math.max(Math.abs(points[i][0]), Math.abs(points[i][1]));
            char c = s.charAt(i);
            if (tags[c - 'a'] == Integer.MAX_VALUE) {
                tags[c - 'a'] = dist;
            } else if (dist < tags[c - 'a']) {
                secondMin = Math.min(secondMin, tags[c - 'a']);
                tags[c - 'a'] = dist;
            } else {
                secondMin = Math.min(secondMin, dist);
            }
        }
        int count = 0;
        for (int dist : tags) {
            if (dist < secondMin) {
                count++;
            }
        }
        return count;
    }
}