maximum-path-score-in-a-grid

maximum-path-score-in-a-grid


You are given an m x n grid where each cell contains one of the values 0, 1, or 2. You are also given an integer k.



You start from the top-left corner (0, 0) and want to reach the bottom-right corner (m - 1, n - 1) by moving only right or down.



Each cell contributes a specific score and incurs an associated cost, according to their cell values:




  • 0: adds 0 to your score and costs 0.

  • 1: adds 1 to your score and costs 1.

  • 2: adds 2 to your score and costs 1. ​​​​​​​



Return the maximum score achievable without exceeding a total cost of k, or -1 if no valid path exists.



Note: If you reach the last cell but the total cost exceeds k, the path is invalid.



 


Example 1:




Input: grid = [[0, 1],[2, 0]], k = 1



Output: 2



Explanation:​​​​​​​



The optimal path is:






Cell
grid[i][j]
Score
Total

Score
Cost
Total

Cost




(0, 0)
0
0
0
0
0


(1, 0)
2
2
2
1
1


(1, 1)
0
0
2
0
1




Thus, the maximum possible score is 2.




Example 2:




Input: grid = [[0, 1],[1, 2]], k = 1



Output: -1



Explanation:



There is no path that reaches cell (1, 1)​​​​​​​ without exceeding cost k. Thus, the answer is -1.




 


Constraints:




  • 1 <= m, n <= 200

  • 0 <= k <= 103​​​​​​​

  • ​​​​​​​grid[0][0] == 0

  • 0 <= grid[i][j] <= 2


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