Medium
Given a 2D grid
consists of 0s
(land) and 1s
(water). An island is a maximal 4-directionally connected group of 0s
and a closed island is an island totally (all left, top, right, bottom) surrounded by 1s.
Return the number of closed islands.
Example 1:
Input: grid = [[1,1,1,1,1,1,1,0],[1,0,0,0,0,1,1,0],[1,0,1,0,1,1,1,0],[1,0,0,0,0,1,0,1],[1,1,1,1,1,1,1,0]]
Output: 2
Explanation: Islands in gray are closed because they are completely surrounded by water (group of 1s).
Example 2:
Input: grid = [[0,0,1,0,0],[0,1,0,1,0],[0,1,1,1,0]]
Output: 1
Example 3:
Input: grid = [[1,1,1,1,1,1,1], [1,0,0,0,0,0,1], [1,0,1,1,1,0,1], [1,0,1,0,1,0,1], [1,0,1,1,1,0,1], [1,0,0,0,0,0,1], [1,1,1,1,1,1,1]]
Output: 2
Constraints:
1 <= grid.length, grid[0].length <= 100
0 <= grid[i][j] <=1
class Solution {
private var rows = 0
private var cols = 0
private var isLand = false
fun closedIsland(grid: Array<IntArray>): Int {
rows = grid.size
cols = grid[0].size
var result = 0
for (r in 0 until rows) {
for (c in 0 until cols) {
if (grid[r][c] == 0) {
isLand = true
dfs(grid, r, c)
if (isLand) {
result++
}
}
}
}
return result
}
private fun dfs(grid: Array<IntArray>, r: Int, c: Int) {
if (r == 0 || c == 0 || r == rows - 1 || c == cols - 1) {
isLand = false
}
grid[r][c] = 'k'.code
if (r > 0 && grid[r - 1][c] == 0) {
dfs(grid, r - 1, c)
}
if (c > 0 && grid[r][c - 1] == 0) {
dfs(grid, r, c - 1)
}
if (r < rows - 1 && grid[r + 1][c] == 0) {
dfs(grid, r + 1, c)
}
if (c < cols - 1 && grid[r][c + 1] == 0) {
dfs(grid, r, c + 1)
}
}
}