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Leetcode Problem 994 Rotting Oranges.txt
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86 lines (57 loc) · 2.54 KB
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994. Rotting Oranges
In a given grid, each cell can have one of three values:
the value 0 representing an empty cell;
the value 1 representing a fresh orange;
the value 2 representing a rotten orange.
Every minute, any fresh orange that is adjacent (4-directionally) to a rotten orange becomes rotten.
Return the minimum number of minutes that must elapse until no cell has a fresh orange. If this is impossible, return -1 instead.
Example 1:
Input: [[2,1,1],[1,1,0],[0,1,1]]
Output: 4
Example 2:
Input: [[2,1,1],[0,1,1],[1,0,1]]
Output: -1
Explanation: The orange in the bottom left corner (row 2, column 0) is never rotten, because rotting only happens 4-directionally.
Example 3:
Input: [[0,2]]
Output: 0
Explanation: Since there are already no fresh oranges at minute 0, the answer is just 0.
Note:
1 <= grid.length <= 10
1 <= grid[0].length <= 10
grid[i][j] is only 0, 1, or 2.
Hint to solve: Use BFS. Two queue approach.
from collections import deque
class Solution:
def orangesRotting(self, grid: List[List[int]]) -> int:
queue = collections.deque()
for row in range(0, len(grid)):
for col in range(0, len(grid[0])):
if(grid[row][col] == 2):
queue.append((row,col))
result = -1
while len(queue) > 0:
nextLevel = collections.deque()
while queue:
rottenOrange = queue.popleft()
row = rottenOrange[0]
col = rottenOrange[1]
if(row > 0 and grid[row-1][col] != 0 and grid[row-1][col] != 2):
grid[row-1][col] = 2
nextLevel.append((row-1, col))
if(row < len(grid) - 1 and grid[row+1][col] != 0 and grid[row + 1][col] != 2):
grid[row+1][col] = 2
nextLevel.append((row + 1, col))
if(col > 0 and grid[row][col - 1] != 0 and grid[row][col - 1] != 2):
grid[row][col - 1] = 2
nextLevel.append((row, col - 1 ))
if(col < len(grid[0]) - 1 and grid[row][col + 1] != 0 and grid[row][col + 1] != 2):
grid[row][col + 1] = 2
nextLevel.append((row, col + 1))
queue = nextLevel
result += 1
for row in range(0, len(grid)):
for col in range(0, len(grid[0])):
if(grid[row][col] == 1):
return -1
return max(0,result)