Problem link: https://leetcode.com/problems/unique-paths-ii/?envType=problem-list-v2&envId=dynamic-programming
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
Solution:
class Solution:
def uniquePathsWithObstacles(self, obstacleGrid: List[List[int]]) -> int:
m, n = len(obstacleGrid), len(obstacleGrid[0])
if obstacleGrid[0][0] == 1:
return 0
dp = [[0]*n for _ in range(m)]
dp[0][0] = 1
for i in range(1, n):
if obstacleGrid[0][i] == 0:
dp[0][i] = dp[0][i - 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 - 1][j] + dp[i][j - 1]
return dp[m - 1][n - 1]
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