1463. Cherry Pickup II
Description
You are given a rows x cols
matrix grid
representing a field of cherries where grid[i][j]
represents the number of cherries that you can collect from the (i, j)
cell.
You have two robots that can collect cherries for you:
- Robot #1 is located at the top-left corner
(0, 0)
, and - Robot #2 is located at the top-right corner
(0, cols - 1)
.
Return the maximum number of cherries collection using both robots by following the rules below:
- From a cell
(i, j)
, robots can move to cell(i + 1, j - 1)
,(i + 1, j)
, or(i + 1, j + 1)
. - When any robot passes through a cell, It picks up all cherries, and the cell becomes an empty cell.
- When both robots stay in the same cell, only one takes the cherries.
- Both robots cannot move outside of the grid at any moment.
- Both robots should reach the bottom row in
grid
.
Example 1:
Input: grid = [[3,1,1],[2,5,1],[1,5,5],[2,1,1]] Output: 24 Explanation: Path of robot #1 and #2 are described in color green and blue respectively. Cherries taken by Robot #1, (3 + 2 + 5 + 2) = 12. Cherries taken by Robot #2, (1 + 5 + 5 + 1) = 12. Total of cherries: 12 + 12 = 24.
Example 2:
Input: grid = [[1,0,0,0,0,0,1],[2,0,0,0,0,3,0],[2,0,9,0,0,0,0],[0,3,0,5,4,0,0],[1,0,2,3,0,0,6]] Output: 28 Explanation: Path of robot #1 and #2 are described in color green and blue respectively. Cherries taken by Robot #1, (1 + 9 + 5 + 2) = 17. Cherries taken by Robot #2, (1 + 3 + 4 + 3) = 11. Total of cherries: 17 + 11 = 28.
Constraints:
rows == grid.length
cols == grid[i].length
2 <= rows, cols <= 70
0 <= grid[i][j] <= 100
Solution
cherry-pickup-ii.py
class Solution:
def cherryPickup(self, grid: List[List[int]]) -> int:
rows, cols = len(grid), len(grid[0])
@cache
def go(row, col1, col2):
if row == rows: return 0
cherries = grid[row][col1] if col1 == col2 else grid[row][col1] + grid[row][col2]
res = 0
for nc1 in range(col1 - 1, col1 + 2):
for nc2 in range(col2 - 1, col2 + 2):
if 0 <= nc1 < cols and 0 <= nc2 < cols:
res = max(res, go(row + 1, nc1, nc2))
return res + cherries
return go(0, 0, cols - 1)