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.lengthn == obstacleGrid[i].length1 <= m, n <= 100obstacleGrid[i][j]is0or1.
My Solution:
class Solution: def uniquePathsWithObstacles(self, obstacleGrid: List[List[int]]) -> int: m, n = len(obstacleGrid), len(obstacleGrid[0]) dp = [[0] * n for _ in range(m)] dp[0][0] = 1 if obstacleGrid[0][0] == 0 else 0 for j in range(1, n): if obstacleGrid[0][j] == 0: dp[0][j] = dp[0][j - 1] for i in range(1, m): if obstacleGrid[i][0] == 0: dp[i][0] = dp[i - 1][0] for i in range(1, m): for j in range(1, n): if obstacleGrid[i][j] == 0: dp[i][j] = dp[i][j - 1] + dp[i - 1][j] return dp[m - 1][n - 1]


浙公网安备 33010602011771号