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:
1 <= s.length, points.length <= 105
points[i].length == 2
-109 <= points[i][0], points[i][1] <= 109
s.length == points.length
points
consists of distinct coordinates.s
consists only of lowercase English letters.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;
}
}