There is a row of m
houses in a small city, each house must be painted with one of the n
colors (labeled from 1
to n
), some houses that have been painted last summer should not be painted again.
A neighborhood is a maximal group of continuous houses that are painted with the same color.
- For example:
houses = [1,2,2,3,3,2,1,1]
contains5
neighborhoods[{1}, {2,2}, {3,3}, {2}, {1,1}]
.
Given an array houses
, an m x n
matrix cost
and an integer target
where:
houses[i]
: is the color of the housei
, and0
if the house is not painted yet.cost[i][j]
: is the cost of paint the housei
with the colorj + 1
.
Return the minimum cost of painting all the remaining houses in such a way that there are exactly target
neighborhoods. If it is not possible, return -1
.
Input: houses = [0,0,0,0,0], cost = [[1,10],[10,1],[10,1],[1,10],[5,1]], m = 5, n = 2, target = 3 Output: 9 Explanation: Paint houses of this way [1,2,2,1,1] This array contains target = 3 neighborhoods, [{1}, {2,2}, {1,1}]. Cost of paint all houses (1 + 1 + 1 + 1 + 5) = 9.
Input: houses = [0,2,1,2,0], cost = [[1,10],[10,1],[10,1],[1,10],[5,1]], m = 5, n = 2, target = 3 Output: 11 Explanation: Some houses are already painted, Paint the houses of this way [2,2,1,2,2] This array contains target = 3 neighborhoods, [{2,2}, {1}, {2,2}]. Cost of paint the first and last house (10 + 1) = 11.
Input: houses = [3,1,2,3], cost = [[1,1,1],[1,1,1],[1,1,1],[1,1,1]], m = 4, n = 3, target = 3 Output: -1 Explanation: Houses are already painted with a total of 4 neighborhoods [{3},{1},{2},{3}] different of target = 3.
m == houses.length == cost.length
n == cost[i].length
1 <= m <= 100
1 <= n <= 20
1 <= target <= m
0 <= houses[i] <= n
1 <= cost[i][j] <= 104
impl Solution {
pub fn min_cost(houses: Vec<i32>, cost: Vec<Vec<i32>>, m: i32, n: i32, target: i32) -> i32 {
let (m, n, target) = (m as usize, n as usize, target as usize);
let houses = houses.into_iter().map(|x| x as usize).collect::<Vec<_>>();
let mut dp = vec![vec![vec![None; n]; target + 1]; m];
if houses[0] > 0 {
dp[0][1][houses[0] as usize - 1] = Some(0);
} else {
for j in 0..n {
dp[0][1][j] = Some(cost[0][j]);
}
}
for i in 1..m {
for k in 1..=target {
for j in 0..n {
if let Some(x) = dp[i - 1][k][j] {
if houses[i] > 0 {
if houses[i] - 1 == j {
dp[i][k][j] = Some(dp[i][k][j].unwrap_or(i32::MAX).min(x));
} else if k + 1 <= target {
dp[i][k + 1][houses[i] - 1] =
Some(dp[i][k + 1][houses[i] - 1].unwrap_or(i32::MAX).min(x));
}
} else {
for jj in 0..n {
if jj == j {
dp[i][k][jj] =
Some(dp[i][k][jj].unwrap_or(i32::MAX).min(x + cost[i][jj]));
} else if k + 1 <= target {
dp[i][k + 1][jj] = Some(
dp[i][k + 1][jj].unwrap_or(i32::MAX).min(x + cost[i][jj]),
);
}
}
}
}
}
}
}
dp[m - 1][target]
.iter()
.filter_map(|&x| x)
.min()
.unwrap_or(-1)
}
}