卖萌的弱渣

I am stupid, I am hungry.

Unique Path2

Follow up for “Unique Paths”:

Now consider if some obstacles are added to the grids. How many unique paths would there be?

An obstacle and empty space is marked as 1 and 0 respectively in the grid.

Example:

There is one obstacle in the middle of a 3x3 grid as illustrated below.

1
2
3
4
5
[
  [0,0,0],
  [0,1,0],
  [0,0,0]
]

The total number of unique paths is 2.

Note:

m and n will be at most 100.

Solution

  • Java
(Unique-Path2.java) download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
public class Solution {
    public int uniquePathsWithObstacles(int[][] obstacleGrid) {
        int m = obstacleGrid.length;
        int n = obstacleGrid[0].length;
        int[][] dp = new int[m+1][n+1];

        dp[0][1] = 1;

        for (int i=1;i<=m;i++){
            for (int j=1;j<=n;j++){
                if (obstacleGrid[i-1][j-1] == 0)
                    dp[i][j] = dp[i-1][j]+dp[i][j-1];
            }
        }
        return dp[m][n];
    }
}
  • Python
(Unique-Paths2.py) download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
class Solution(object):
    def uniquePathsWithObstacles(self, obstacleGrid):
        """
        :type obstacleGrid: List[List[int]]
        :rtype: int
        """
        if not obstacleGrid:
            return 0
        if obstacleGrid[0][0] == 1:
            return 0
        row = len(obstacleGrid)
        col = len(obstacleGrid[0])
        dp = [[0]*(col) for i in range(row)]

        dp[0][0] = 1
        for i in range(1,row):
            if obstacleGrid[i][0] == 0:
                dp[i][0] = dp[i-1][0]
            else:
                dp[i][0] = 0
        for j in range(1,col):
            if obstacleGrid[0][j] == 0:
                dp[0][j] = dp[0][j-1]
            else:
                dp[0][j] = 0

        for i in range(1,row):
            for j in range(1,col):
                if obstacleGrid[i][j] == 1:
                    dp[i][j] = 0
                else:
                    dp[i][j] = dp[i-1][j]+dp[i][j-1]
        return dp[row-1][col-1]