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741. Cherry Pickup

Description

You are given an n x n grid representing a field of cherries, each cell is one of three possible integers.

  • 0 means the cell is empty, so you can pass through,
  • 1 means the cell contains a cherry that you can pick up and pass through, or
  • -1 means the cell contains a thorn that blocks your way.

Return the maximum number of cherries you can collect by following the rules below:

  • Starting at the position (0, 0) and reaching (n - 1, n - 1) by moving right or down through valid path cells (cells with value 0 or 1).
  • After reaching (n - 1, n - 1), returning to (0, 0) by moving left or up through valid path cells.
  • When passing through a path cell containing a cherry, you pick it up, and the cell becomes an empty cell 0.
  • If there is no valid path between (0, 0) and (n - 1, n - 1), then no cherries can be collected.

 

Example 1:

Input: grid = [[0,1,-1],[1,0,-1],[1,1,1]]
Output: 5
Explanation: The player started at (0, 0) and went down, down, right right to reach (2, 2).
4 cherries were picked up during this single trip, and the matrix becomes [[0,1,-1],[0,0,-1],[0,0,0]].
Then, the player went left, up, up, left to return home, picking up one more cherry.
The total number of cherries picked up is 5, and this is the maximum possible.

Example 2:

Input: grid = [[1,1,-1],[1,-1,1],[-1,1,1]]
Output: 0

 

Constraints:

  • n == grid.length
  • n == grid[i].length
  • 1 <= n <= 50
  • grid[i][j] is -1, 0, or 1.
  • grid[0][0] != -1
  • grid[n - 1][n - 1] != -1

Solutions

Solution 1: Dynamic Programming

According to the problem description, the player starts from $(0, 0)$, reaches $(n-1, n-1)$, and then returns to the starting point $(0, 0)$. We can consider the player as starting from $(0, 0)$ to $(n-1, n-1)$ twice.

Therefore, we define $f[k][i_1][i_2]$ as the maximum number of cherries that can be picked when both have walked $k$ steps and reached $(i_1, k-i_1)$ and $(i_2, k-i_2)$ respectively. Initially, $f[0][0][0] = grid[0][0]$. The initial values of other $f[k][i_1][i_2]$ are negative infinity. The answer is $\max(0, f[2n-2][n-1][n-1])$.

According to the problem description, we can get the state transition equation:

$$ f[k][i_1][i_2] = \max(f[k-1][x_1][x_2] + t, f[k][i_1][i_2]) $$

Where $t$ represents the number of cherries at positions $(i_1, k-i_1)$ and $(i_2, k-i_2)$, and $x_1, x_2$ represent the previous step positions of $(i_1, k-i_1)$ and $(i_2, k-i_2)$ respectively.

The time complexity is $O(n^3)$, and the space complexity is $O(n^3)$. Where $n$ is the side length of the grid.

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class Solution:
    def cherryPickup(self, grid: List[List[int]]) -> int:
        n = len(grid)
        f = [[[-inf] * n for _ in range(n)] for _ in range((n << 1) - 1)]
        f[0][0][0] = grid[0][0]
        for k in range(1, (n << 1) - 1):
            for i1 in range(n):
                for i2 in range(n):
                    j1, j2 = k - i1, k - i2
                    if (
                        not 0 <= j1 < n
                        or not 0 <= j2 < n
                        or grid[i1][j1] == -1
                        or grid[i2][j2] == -1
                    ):
                        continue
                    t = grid[i1][j1]
                    if i1 != i2:
                        t += grid[i2][j2]
                    for x1 in range(i1 - 1, i1 + 1):
                        for x2 in range(i2 - 1, i2 + 1):
                            if x1 >= 0 and x2 >= 0:
                                f[k][i1][i2] = max(f[k][i1][i2], f[k - 1][x1][x2] + t)
        return max(0, f[-1][-1][-1])
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class Solution {
    public int cherryPickup(int[][] grid) {
        int n = grid.length;
        int[][][] f = new int[n * 2][n][n];
        f[0][0][0] = grid[0][0];
        for (int k = 1; k < n * 2 - 1; ++k) {
            for (int i1 = 0; i1 < n; ++i1) {
                for (int i2 = 0; i2 < n; ++i2) {
                    int j1 = k - i1, j2 = k - i2;
                    f[k][i1][i2] = Integer.MIN_VALUE;
                    if (j1 < 0 || j1 >= n || j2 < 0 || j2 >= n || grid[i1][j1] == -1
                        || grid[i2][j2] == -1) {
                        continue;
                    }
                    int t = grid[i1][j1];
                    if (i1 != i2) {
                        t += grid[i2][j2];
                    }
                    for (int x1 = i1 - 1; x1 <= i1; ++x1) {
                        for (int x2 = i2 - 1; x2 <= i2; ++x2) {
                            if (x1 >= 0 && x2 >= 0) {
                                f[k][i1][i2] =