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Java-based LeetCode algorithm problem solutions, regularly updated
package g1101_1200.s1139_largest_1_bordered_square;
// #Medium #Array #Dynamic_Programming #Matrix #2023_06_01_Time_4_ms_(88.04%)_Space_44.7_MB_(17.39%)
/**
* 1139 - Largest 1-Bordered Square\.
*
* Medium
*
* Given a 2D `grid` of `0`s and `1`s, return the number of elements in the largest **square** subgrid that has all `1`s on its **border** , or `0` if such a subgrid doesn't exist in the `grid`.
*
* **Example 1:**
*
* **Input:** grid = \[\[1,1,1],[1,0,1],[1,1,1]]
*
* **Output:** 9
*
* **Example 2:**
*
* **Input:** grid = \[\[1,1,0,0]]
*
* **Output:** 1
*
* **Constraints:**
*
* * `1 <= grid.length <= 100`
* * `1 <= grid[0].length <= 100`
* * `grid[i][j]` is `0` or `1`
**/
public class Solution {
public int largest1BorderedSquare(int[][] grid) {
int[][] rightToLeft = new int[grid.length][];
int[][] bottomToUp = new int[grid.length][];
for (int i = 0; i < grid.length; i++) {
rightToLeft[i] = grid[i].clone();
bottomToUp[i] = grid[i].clone();
}
int row = grid.length;
int col = grid[0].length;
for (int i = 0; i < row; i++) {
for (int j = col - 2; j >= 0; j--) {
if (grid[i][j] == 1) {
rightToLeft[i][j] = rightToLeft[i][j + 1] + 1;
}
}
}
for (int j = 0; j < col; j++) {
for (int i = row - 2; i >= 0; i--) {
if (grid[i][j] == 1) {
bottomToUp[i][j] = bottomToUp[i + 1][j] + 1;
}
}
}
int res = 0;
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
int curLen = rightToLeft[i][j];
for (int k = curLen; k >= 1; k--) {
if (bottomToUp[i][j] >= k
&& rightToLeft[i + k - 1][j] >= k
&& bottomToUp[i][j + k - 1] >= k) {
if (k > res) {
res = k;
}
break;
}
}
}
}
return res * res;
}
}
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