1254. Number of Closed Islands LeetCode Solution

In this guide, you will get 1254. Number of Closed Islands LeetCode Solution with the best time and space complexity. The solution to Number of Closed Islands problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.

Table of Contents

  1. Problem Statement
  2. Complexity Analysis
  3. Number of Closed Islands solution in C++
  4. Number of Closed Islands solution in Java
  5. Number of Closed Islands solution in Python
  6. Additional Resources
1254. Number of Closed Islands LeetCode Solution image

Problem Statement of Number of Closed Islands

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

Complexity Analysis

  • Time Complexity: O(mn)
  • Space Complexity: O(mn)

1254. Number of Closed Islands LeetCode Solution in C++

class Solution {
 public:
  int closedIsland(vector<vector<int>>& grid) {
    const int m = grid.size();
    const int n = grid[0].size();

    // Remove the lands connected to the edge.
    for (int i = 0; i < m; ++i)
      for (int j = 0; j < n; ++j)
        if (i * j == 0 || i == m - 1 || j == n - 1)
          if (grid[i][j] == 0)
            dfs(grid, i, j);

    int ans = 0;

    // Reduce to 200. Number of Islands
    for (int i = 0; i < m; ++i)
      for (int j = 0; j < n; ++j)
        if (grid[i][j] == 0) {
          dfs(grid, i, j);
          ++ans;
        }

    return ans;
  }

 private:
  void dfs(vector<vector<int>>& grid, int i, int j) {
    if (i < 0 || i == grid.size() || j < 0 || j == grid[0].size())
      return;
    if (grid[i][j] == 1)
      return;
    grid[i][j] = 1;
    dfs(grid, i + 1, j);
    dfs(grid, i - 1, j);
    dfs(grid, i, j + 1);
    dfs(grid, i, j - 1);
  };
};
/* code provided by PROGIEZ */

1254. Number of Closed Islands LeetCode Solution in Java

class Solution {
  public int closedIsland(int[][] grid) {
    final int m = grid.length;
    final int n = grid[0].length;

    // Remove the lands connected to the edge.
    for (int i = 0; i < m; ++i)
      for (int j = 0; j < n; ++j)
        if (i * j == 0 || i == m - 1 || j == n - 1)
          if (grid[i][j] == 0)
            dfs(grid, i, j);

    int ans = 0;

    // Reduce to 200. Number of Islands
    for (int i = 0; i < m; ++i)
      for (int j = 0; j < n; ++j)
        if (grid[i][j] == 0) {
          dfs(grid, i, j);
          ++ans;
        }

    return ans;
  }

  private void dfs(int[][] grid, int i, int j) {
    if (i < 0 || i == grid.length || j < 0 || j == grid[0].length)
      return;
    if (grid[i][j] == 1)
      return;
    grid[i][j] = 1;
    dfs(grid, i + 1, j);
    dfs(grid, i - 1, j);
    dfs(grid, i, j + 1);
    dfs(grid, i, j - 1);
  }
}
// code provided by PROGIEZ

1254. Number of Closed Islands LeetCode Solution in Python

class Solution:
  def closedIsland(self, grid: list[list[int]]) -> int:
    m = len(grid)
    n = len(grid[0])

    def dfs(i: int, j: int) -> None:
      if i < 0 or i == m or j < 0 or j == n:
        return
      if grid[i][j] == 1:
        return
      grid[i][j] = 1
      dfs(i + 1, j)
      dfs(i - 1, j)
      dfs(i, j + 1)
      dfs(i, j - 1)

    # Remove the lands connected to the edge.
    for i in range(m):
      for j in range(n):
        if i * j == 0 or i == m - 1 or j == n - 1:
          if grid[i][j] == 0:
            dfs(i, j)

    ans = 0

    # Reduce to 200. Number of Islands
    for i in range(m):
      for j in range(n):
        if grid[i][j] == 0:
          dfs(i, j)
          ans += 1

    return ans
# code by PROGIEZ

Additional Resources

See also  905. Sort Array By Parity LeetCode Solution

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