63. Unique Paths II
Medium
You are given an m x n
integer array grid
. There is a robot initially located at the top-left corner (i.e., grid[0][0]
). The robot tries to move to the bottom-right corner (i.e., grid[m-1][n-1]
). The robot can only move either down or right at any point in time.
An obstacle and space are marked as 1
or 0
respectively in grid
. A path that the robot takes cannot include any square that is an obstacle.
Return the number of possible unique paths that the robot can take to reach the bottom-right corner.
The testcases are generated so that the answer will be less than or equal to 2 * 109
.
Example 1:
Input: obstacleGrid = [[0,0,0],[0,1,0],[0,0,0]]
Output: 2
Explanation: There is one obstacle in the middle of the 3x3 grid above.
There are two ways to reach the bottom-right corner:
1. Right -> Right -> Down -> Down
2. Down -> Down -> Right -> Right
Example 2:
Input: obstacleGrid = [[0,1],[0,0]]
Output: 1
Constraints:
m == obstacleGrid.length
n == obstacleGrid[i].length
1 <= m, n <= 100
obstacleGrid[i][j]
is0
or1
.
Solution 1 : Using Dictionary
class Solution:
def uniquePathsWithObstacles(self, obstacleGrid: List[List[int]]) -> int:
self.grid = obstacleGrid
self.d = {}
return self.dfs(0,0)
def dfs(self, row, col):
if (row,col) in self.d:
return self.d[(row,col)]
if row >= len(self.grid) or col >= len(self.grid[0]) or self.grid[row][col] == 1:
return 0
if row == len(self.grid)-1 and col == len(self.grid[0])-1:
return 1
val = self.dfs(row+1, col) + self.dfs(row, col+1)
self.d[(row,col)] = val
return val
Solution 2 : With In-Built @lru_cache
class Solution:
def uniquePathsWithObstacles(self, obstacleGrid: List[List[int]]) -> int:
self.grid = obstacleGrid
return self.dfs(0,0)
@lru_cache
def dfs(self, row, col):
if row >= len(self.grid) or col >= len(self.grid[0]) or self.grid[row][col] == 1:
return 0
if row == len(self.grid)-1 and col == len(self.grid[0])-1:
return 1
dfs1 = self.dfs(row+1, col)
dfs2 = self.dfs(row, col+1)
return dfs1 + dfs2
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