0200: Number of Islands
Problem Statement
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.
Example 1:
Input: grid = [ ["1","1","1","1","0"], ["1","1","0","1","0"], ["1","1","0","0","0"], ["0","0","0","0","0"] ] Output: 1
Example 2:
Input: grid = [ ["1","1","0","0","0"], ["1","1","0","0","0"], ["0","0","1","0","0"], ["0","0","0","1","1"] ] Output: 3
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 300
grid[i][j]
is'0'
or'1'
.
Code Solution
from collections import deque
class Solution:
def numIslands(self, grid):
nR = len(grid)
nC = len(grid[0])
def bfs(rx, cx, vset):
dq = deque([(rx, cx)])
vset.add((rx, cx))
while dq:
rr, cc = dq.popleft()
for dr, dc in [(0, 1), (1, 0), (-1, 0), (0, -1)]:
nr = rr + dr
nc = cc + dc
if 0 <= nr < nR and 0 <= nc < nC:
if grid[nr][nc] == "1" and (nr, nc) not in vset:
vset.add((nr, nc))
dq.append((nr, nc))
count = 0
cache = set()
for ir in range(nR):
for ic in range(nC):
if grid[ir][ic] == "1" and (ir, ic) not in cache:
bfs(ir, ic, cache)
count = count + 1
return count