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
.
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.
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.
rows == grid.length
cols == grid[i].length
2 <= rows, cols <= 70
0 <= grid[i][j] <= 100
impl Solution {
pub fn cherry_pickup(grid: Vec<Vec<i32>>) -> i32 {
let (rows, cols) = (grid.len(), grid[0].len());
let mut curr_row = vec![vec![None; cols]; cols];
curr_row[0][cols - 1] = Some(grid[0][0] + grid[0][cols - 1]);
for i in 0..rows - 1 {
let mut next_row = vec![vec![None; cols]; cols];
for j0 in 0..cols {
for j1 in 0..cols {
if let Some(x) = curr_row[j0][j1] {
for c0 in j0.saturating_sub(1)..cols.min(j0 + 2) {
for c1 in j1.saturating_sub(1)..cols.min(j1 + 2) {
next_row[c0][c1] = Some(next_row[c0][c1].unwrap_or(0).max(
x + grid[i + 1][c0] + grid[i + 1][c1] * (c0 != c1) as i32,
));
}
}
}
}
}
curr_row = next_row;
}
curr_row
.iter()
.flatten()
.map(|x| x.unwrap_or(0))
.max()
.unwrap()
}
}