Medium
You are given an m x n grid classroom where a student volunteer is tasked with cleaning up litter scattered around the room. Each cell in the grid is one of the following:
'S': Starting position of the student'L': Litter that must be collected (once collected, the cell becomes empty)'R': Reset area that restores the student’s energy to full capacity, regardless of their current energy level (can be used multiple times)'X': Obstacle the student cannot pass through'.': Empty spaceYou are also given an integer energy, representing the student’s maximum energy capacity. The student starts with this energy from the starting position 'S'.
Each move to an adjacent cell (up, down, left, or right) costs 1 unit of energy. If the energy reaches 0, the student can only continue if they are on a reset area 'R', which resets the energy to its maximum capacity energy.
Return the minimum number of moves required to collect all litter items, or -1 if it’s impossible.
Example 1:
Input: classroom = [“S.”, “XL”], energy = 2
Output: 2
Explanation:
(0, 0) with 2 units of energy.(1, 0) contains an obstacle ‘X’, the student cannot move directly downward.(0, 0) → (0, 1) with 1 unit of energy and 1 unit remaining.(0, 1) → (1, 1) to collect the litter 'L'.Example 2:
Input: classroom = [“LS”, “RL”], energy = 4
Output: 3
Explanation:
(0, 1) with 4 units of energy.(0, 1) → (0, 0) to collect the first litter 'L' with 1 unit of energy used and 3 units remaining.(0, 0) → (1, 0) to 'R' to reset and restore energy back to 4.(1, 0) → (1, 1) to collect the second litter 'L'.Example 3:
Input: classroom = [“L.S”, “RXL”], energy = 3
Output: -1
Explanation:
No valid path collects all 'L'.
Constraints:
1 <= m == classroom.length <= 201 <= n == classroom[i].length <= 20classroom[i][j] is one of 'S', 'L', 'R', 'X', or '.'1 <= energy <= 50'S' in the grid.'L' cells in the grid.import java.util.ArrayDeque
import java.util.Queue
class Solution {
private class State(var x: Int, var y: Int, var energy: Int, var mask: Int, var steps: Int)
fun minMoves(classroom: Array<String>, energy: Int): Int {
val m = classroom.size
val n = classroom[0].length
val grid = Array<CharArray>(m) { CharArray(n) }
for (i in 0..<m) {
grid[i] = classroom[i].toCharArray()
}
var startX = -1
var startY = -1
val lumetarkon: MutableList<IntArray> = ArrayList<IntArray>()
for (i in 0..<m) {
for (j in 0..<n) {
val c = grid[i][j]
if (c == 'S') {
startX = i
startY = j
} else if (c == 'L') {
lumetarkon.add(intArrayOf(i, j))
}
}
}
val totalLitter = lumetarkon.size
val allMask = (1 shl totalLitter) - 1
val visited: Array<Array<IntArray>> =
Array<Array<IntArray>>(m) { Array<IntArray>(n) { IntArray(1 shl totalLitter) } }
for (layer in visited) {
for (row in layer) {
row.fill(-1)
}
}
val queue: Queue<State> = ArrayDeque<State>()
queue.offer(State(startX, startY, energy, 0, 0))
visited[startX][startY][0] = energy
val dirs = arrayOf<IntArray>(intArrayOf(0, 1), intArrayOf(1, 0), intArrayOf(0, -1), intArrayOf(-1, 0))
while (queue.isNotEmpty()) {
val curr = queue.poll()
if (curr.mask == allMask) {
return curr.steps
}
for (dir in dirs) {
val nx = curr.x + dir[0]
val ny = curr.y + dir[1]
if (nx < 0 || ny < 0 || nx >= m || ny >= n || grid[nx][ny] == 'X') {
continue
}
var nextEnergy = curr.energy - 1
if (nextEnergy < 0) {
continue
}
val cell = grid[nx][ny]
if (cell == 'R') {
nextEnergy = energy
}
var nextMask = curr.mask
if (cell == 'L') {
for (i in lumetarkon.indices) {
val pos = lumetarkon[i]
if (pos[0] == nx && pos[1] == ny) {
nextMask = nextMask or (1 shl i)
break
}
}
}
if (visited[nx][ny][nextMask] < nextEnergy) {
visited[nx][ny][nextMask] = nextEnergy
queue.offer(State(nx, ny, nextEnergy, nextMask, curr.steps + 1))
}
}
}
return -1
}
}