0200. Number of Islands

Medium | BFS + DFS | 128 ms (94.03%), 15.2 MB (95.17%)

❓ Problem Statement

Source: LeetCode - Number of Islands GitHub: Solution / Performance

Given an m x n 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands.

An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water.

✍🏻 Constraints & Example

💡 Ideas

We could solve this problem by either DFS or BFS method. (BFS requires less memory usage)

DFS

We recursively explore the whole map subject to the boundary condition for moving up, down, left, and right and whether the current location is an island or not.

BFS

We iteratively explore the whole map by using a stack to record the visited island subject to the boundary condition for moving up, down, left, and right and whether the current location is an island or not.

🤖 Python3

class Solution:
    def numIslands(self, grid: List[List[str]]) -> int:
        # (base case)
        if len(grid) == 1 and len(grid[0]) == 1: return 1 if grid[0][0] == "1" else 0
        
        # ==================================================
        #  BFS                                             =
        # ==================================================
        # time  : O(nm)
        # space : O(min(n,m))
        
        x = len(grid[0])
        y = len(grid)
        
        ans = 0
        
        for i in range(y):
            for j in range(x):
                if grid[i][j] == '1':
                    ans += 1
                    
                    visited = set()
                    visited.add( (i, j) )
                    
                    while visited:
                        row, col = visited.pop()
                        grid[row][col] = '0'
                        
                        if row   > 0 and grid[row-1][col] == '1': visited.add( (row-1, col) )
                        if row+1 < y and grid[row+1][col] == '1': visited.add( (row+1, col) )
                        if col   > 0 and grid[row][col-1] == '1': visited.add( (row, col-1) )
                        if col+1 < x and grid[row][col+1] == '1': visited.add( (row, col+1) )
                            
        return ans
        
    '''
    def numIslands(self, grid: List[List[str]]) -> int:
        # (base case)
        if len(grid) == 1 and len(grid[0]) == 1: return 1 if grid[0][0] == "1" else 0
        
        # ==================================================
        #  DFS                                             =
        # ==================================================
        # time  : O(mn)
        # space : O(mn)

        island = 0
        self.grid = grid
        
        for i in range(len(grid)):
            for j in range(len(grid[0])):
                if grid[i][j] == '1': 
                    self.explore(i, j)
                    island += 1
        
        return island
        
    def explore(self, y: int, x: int) -> None:
        self.grid[y][x] = 0
        
        if y > 0                     and self.grid[y-1][x] == '1': self.explore(y-1, x)
        if y < len(self.grid) - 1    and self.grid[y+1][x] == '1': self.explore(y+1, x)
        if x > 0                     and self.grid[y][x-1] == '1': self.explore(y, x-1)
        if x < len(self.grid[0]) - 1 and self.grid[y][x+1] == '1': self.explore(y, x+1)
    '''

🤖 Java