LeetCode in Kotlin

3786. Total Sum of Interaction Cost in Tree Groups

Hard

You are given an integer n and an undirected tree with n nodes numbered from 0 to n - 1. This is represented by a 2D array edges of length n - 1, where edges[i] = [ui, vi] indicates an undirected edge between nodes ui and vi.

You are also given an integer array group of length n, where group[i] denotes the group label assigned to node i.

Return an integer denoting the sum of interaction costs over all unordered pairs (u, v) with u != v such that group[u] == group[v].

Example 1:

Input: n = 3, edges = [[0,1],[1,2]], group = [1,1,1]

Output: 4

Explanation:

All nodes belong to group 1. The interaction costs between the pairs of nodes are:

Thus, the total interaction cost is 1 + 1 + 2 = 4.

Example 2:

Input: n = 3, edges = [[0,1],[1,2]], group = [3,2,3]

Output: 2

Explanation:

Example 3:

Input: n = 4, edges = [[0,1],[0,2],[0,3]], group = [1,1,4,4]

Output: 3

Explanation:

Nodes belonging to the same groups and their interaction costs are:

Thus, the total interaction cost is 1 + 2 = 3.

Example 4:

Input: n = 2, edges = [[0,1]], group = [9,8]

Output: 0

Explanation:

All nodes belong to different groups and there are no valid pairs. Therefore, the total interaction cost is 0.

Constraints:

Solution

class Solution {
    private var totalCost: Long = 0
    private lateinit var counts: Array<IntArray>
    private lateinit var totalInGroup: IntArray
    private lateinit var adj: MutableList<MutableList<Int>>

    fun interactionCosts(n: Int, edges: Array<IntArray>, group: IntArray): Long {
        adj = ArrayList<MutableList<Int>>()
        for (i in 0..<n) {
            adj.add(ArrayList<Int>())
        }
        for (edge in edges) {
            adj[edge[0]].add(edge[1])
            adj[edge[1]].add(edge[0])
        }
        totalInGroup = IntArray(21)
        for (g in group) {
            totalInGroup[g]++
        }
        counts = Array<IntArray>(n) { IntArray(21) }
        dfs(0, -1, group)
        return totalCost
    }

    private fun dfs(u: Int, p: Int, group: IntArray) {
        counts[u][group[u]] = 1
        for (v in adj[u]) {
            if (v == p) {
                continue
            }
            dfs(v, u, group)
            for (g in 1..20) {
                if (totalInGroup[g] < 2) {
                    continue
                }
                val inSubtree = counts[v][g].toLong()
                val outsideSubtree = totalInGroup[g] - inSubtree
                totalCost += inSubtree * outsideSubtree
                counts[u][g] += counts[v][g]
            }
        }
    }
}