Medium
You are given an m x n binary matrix grid. An island is a group of 1’s (representing land) connected 4-directionally (horizontal or vertical.) You may assume all four edges of the grid are surrounded by water.
The area of an island is the number of cells with a value 1 in the island.
Return the maximum area of an island in grid. If there is no island, return 0.
Example 1:

Input: grid = [[0,0,1,0,0,0,0,1,0,0,0,0,0],[0,0,0,0,0,0,0,1,1,1,0,0,0],[0,1,1,0,1,0,0,0,0,0,0,0,0],[0,1,0,0,1,1,0,0,1,0,1,0,0],[0,1,0,0,1,1,0,0,1,1,1,0,0],[0,0,0,0,0,0,0,0,0,0,1,0,0],[0,0,0,0,0,0,0,1,1,1,0,0,0],[0,0,0,0,0,0,0,1,1,0,0,0,0]]
Output: 6
Explanation: The answer is not 11, because the island must be connected 4-directionally.
Example 2:
Input: grid = [[0,0,0,0,0,0,0,0]]
Output: 0
Constraints:
m == grid.lengthn == grid[i].length1 <= m, n <= 50grid[i][j] is either 0 or 1.@Suppress("NAME_SHADOWING")
class Solution {
fun maxAreaOfIsland(grid: Array<IntArray>): Int {
if (grid.isEmpty()) {
return 0
}
val m = grid.size
val n = grid[0].size
var max = 0
for (i in 0 until m) {
for (j in 0 until n) {
if (grid[i][j] == 1) {
val area = dfs(grid, i, j, m, n, 0)
max = Math.max(area, max)
}
}
}
return max
}
private fun dfs(grid: Array<IntArray>, i: Int, j: Int, m: Int, n: Int, area: Int): Int {
var area = area
if (i < 0 || i >= m || j < 0 || j >= n || grid[i][j] == 0) {
return area
}
grid[i][j] = 0
area++
area = dfs(grid, i + 1, j, m, n, area)
area = dfs(grid, i, j + 1, m, n, area)
area = dfs(grid, i - 1, j, m, n, area)
area = dfs(grid, i, j - 1, m, n, area)
return area
}
}