Medium
Given an m x n
matrix board
containing 'X'
and 'O'
, capture all regions that are 4-directionally surrounded by 'X'
.
A region is captured by flipping all 'O'
s into 'X'
s in that surrounded region.
Example 1:
Input: board = [[“X”,”X”,”X”,”X”],[“X”,”O”,”O”,”X”],[“X”,”X”,”O”,”X”],[“X”,”O”,”X”,”X”]]
Output: [[“X”,”X”,”X”,”X”],[“X”,”X”,”X”,”X”],[“X”,”X”,”X”,”X”],[“X”,”O”,”X”,”X”]]
Explanation: Surrounded regions should not be on the border, which means that any ‘O’ on the border of the board are not flipped to ‘X’. Any ‘O’ that is not on the border and it is not connected to an ‘O’ on the border will be flipped to ‘X’. Two cells are connected if they are adjacent cells connected horizontally or vertically.
Example 2:
Input: board = [[“X”]]
Output: [[“X”]]
Constraints:
m == board.length
n == board[i].length
1 <= m, n <= 200
board[i][j]
is 'X'
or 'O'
.from typing import List
class Solution:
def solve(self, board: List[List[str]]) -> None:
# Edge case, empty grid
if not board:
return
# Traverse first and last rows (boundaries)
for i in range(len(board[0])):
# first row
if board[0][i] == 'O':
# It will convert O and all it's touching O's to #
self._dfs(board, 0, i)
# last row
if board[len(board) - 1][i] == 'O':
# Converts O's to #'s (same thing as above)
self._dfs(board, len(board) - 1, i)
# Traverse first and last Column (boundaries)
for i in range(len(board)):
# first Column
if board[i][0] == 'O':
# Converts O's to #'s
self._dfs(board, i, 0)
# last Column
if board[i][len(board[0]) - 1] == 'O':
# Converts O's to #'s
self._dfs(board, i, len(board[0]) - 1)
# Traverse through entire matrix
for i in range(len(board)):
for j in range(len(board[0])):
if board[i][j] == 'O':
# Convert O's to X's
board[i][j] = 'X'
if board[i][j] == '#':
# Convert #'s to O's
board[i][j] = 'O'
def _dfs(self, board: List[List[str]], row: int, column: int):
if (row < 0 or row >= len(board) or column < 0 or
column >= len(board[0]) or board[row][column] != 'O'):
return
board[row][column] = '#'
self._dfs(board, row + 1, column)
self._dfs(board, row - 1, column)
self._dfs(board, row, column + 1)
self._dfs(board, row, column - 1)