Medium
You are given two integers m
and n
representing the dimensions of a 0-indexed m x n
grid.
You are also given a 0-indexed 2D integer matrix coordinates
, where coordinates[i] = [x, y]
indicates that the cell with coordinates [x, y]
is colored black. All cells in the grid that do not appear in coordinates
are white.
A block is defined as a 2 x 2
submatrix of the grid. More formally, a block with cell [x, y]
as its top-left corner where 0 <= x < m - 1
and 0 <= y < n - 1
contains the coordinates [x, y]
, [x + 1, y]
, [x, y + 1]
, and [x + 1, y + 1]
.
Return a 0-indexed integer array arr
of size 5
such that arr[i]
is the number of blocks that contains exactly i
black cells.
Example 1:
Input: m = 3, n = 3, coordinates = [[0,0]]
Output: [3,1,0,0,0]
Explanation: The grid looks like this:
There is only 1 block with one black cell, and it is the block starting with cell [0,0].
The other 3 blocks start with cells [0,1], [1,0] and [1,1]. They all have zero black cells.
Thus, we return [3,1,0,0,0].
Example 2:
Input: m = 3, n = 3, coordinates = [[0,0],[1,1],[0,2]]
Output: [0,2,2,0,0]
Explanation: The grid looks like this:
There are 2 blocks with two black cells (the ones starting with cell coordinates [0,0] and [0,1]).
The other 2 blocks have starting cell coordinates of [1,0] and [1,1]. They both have 1 black cell.
Therefore, we return [0,2,2,0,0].
Constraints:
2 <= m <= 105
2 <= n <= 105
0 <= coordinates.length <= 104
coordinates[i].length == 2
0 <= coordinates[i][0] < m
0 <= coordinates[i][1] < n
coordinates
contains pairwise distinct coordinates.import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
public class Solution {
public long[] countBlackBlocks(int m, int n, int[][] coordinates) {
long[] ans = new long[5];
Map<Integer, Integer> count = new HashMap<>();
for (int[] coordinate : coordinates) {
int x = coordinate[0];
int y = coordinate[1];
for (int i = x; i < x + 2; i++) {
for (int j = y; j < y + 2; j++) {
if (i - 1 >= 0 && i < m && j - 1 >= 0 && j < n) {
count.merge(i * n + j, 1, (a, b) -> a + b);
}
}
}
}
for (int freq : count.values()) {
ans[freq]++;
}
ans[0] = (m - 1L) * (n - 1) - Arrays.stream(ans).sum();
return ans;
}
}