Medium
You are given an m x n integer matrix grid and an integer k.
For every contiguous k x k submatrix of grid, compute the minimum absolute difference between any two distinct values within that submatrix.
Return a 2D array ans of size (m - k + 1) x (n - k + 1), where ans[i][j] is the minimum absolute difference in the submatrix whose top-left corner is (i, j) in grid.
Note: If all elements in the submatrix have the same value, the answer will be 0.
A submatrix (x1, y1, x2, y2) is a matrix that is formed by choosing all cells matrix[x][y] where x1 <= x <= x2 and y1 <= y <= y2.
Example 1:
Input: grid = [[1,8],[3,-2]], k = 2
Output: [[2]]
Explanation:
k x k submatrix: [[1, 8], [3, -2]].[1, 8, 3, -2].|1 - 3| = 2. Thus, the answer is [[2]].Example 2:
Input: grid = [[3,-1]], k = 1
Output: [[0,0]]
Explanation:
k x k submatrix has only one distinct element.[[0, 0]].Example 3:
Input: grid = [[1,-2,3],[2,3,5]], k = 2
Output: [[1,2]]
Explanation:
k × k submatrix:
(0, 0): [[1, -2], [2, 3]].
[1, -2, 2, 3].|1 - 2| = 1.(0, 1): [[-2, 3], [3, 5]].
[-2, 3, 5].|3 - 5| = 2.[[1, 2]].Constraints:
1 <= m == grid.length <= 301 <= n == grid[i].length <= 30-105 <= grid[i][j] <= 1051 <= k <= min(m, n)import kotlin.math.min
class Solution {
fun minAbsDiff(grid: Array<IntArray>, k: Int): Array<IntArray> {
val rows = grid.size
val cols = grid[0].size
val result = Array<IntArray>(rows - k + 1) { IntArray(cols - k + 1) }
for (x in 0..rows - k) {
for (y in 0..cols - k) {
val size = k * k
val elements = IntArray(size)
var idx = 0
for (i in x..<x + k) {
for (j in y..<y + k) {
elements[idx++] = grid[i][j]
}
}
elements.sort()
var minDiff = Int.Companion.MAX_VALUE
for (i in 1..<size) {
if (elements[i] != elements[i - 1]) {
minDiff = min(minDiff, elements[i] - elements[i - 1])
if (minDiff == 1) {
break
}
}
}
result[x][y] = if (minDiff == Int.Companion.MAX_VALUE) 0 else minDiff
}
}
return result
}
}