Medium
You are given an integer c representing c power stations, each with a unique identifier id from 1 to c (1‑based indexing).
These stations are interconnected via n bidirectional cables, represented by a 2D array connections, where each element connections[i] = [ui, vi] indicates a connection between station ui and station vi. Stations that are directly or indirectly connected form a power grid.
Initially, all stations are online (operational).
You are also given a 2D array queries, where each query is one of the following two types:
[1, x]: A maintenance check is requested for station x. If station x is online, it resolves the check by itself. If station x is offline, the check is resolved by the operational station with the smallest id in the same power grid as x. If no operational station exists in that grid, return -1.
[2, x]: Station x goes offline (i.e., it becomes non-operational).
Return an array of integers representing the results of each query of type [1, x] in the order they appear.
Note: The power grid preserves its structure; an offline (non‑operational) node remains part of its grid and taking it offline does not alter connectivity.
Example 1:
Input: c = 5, connections = [[1,2],[2,3],[3,4],[4,5]], queries = [[1,3],[2,1],[1,1],[2,2],[1,2]]
Output: [3,2,3]
Explanation:

{1, 2, 3, 4, 5} are online and form a single power grid.[1,3]: Station 3 is online, so the maintenance check is resolved by station 3.[2,1]: Station 1 goes offline. The remaining online stations are {2, 3, 4, 5}.[1,1]: Station 1 is offline, so the check is resolved by the operational station with the smallest id among {2, 3, 4, 5}, which is station 2.[2,2]: Station 2 goes offline. The remaining online stations are {3, 4, 5}.[1,2]: Station 2 is offline, so the check is resolved by the operational station with the smallest id among {3, 4, 5}, which is station 3.Example 2:
Input: c = 3, connections = [], queries = [[1,1],[2,1],[1,1]]
Output: [1,-1]
Explanation:
[1,1]: Station 1 is online in its isolated grid, so the maintenance check is resolved by station 1.[2,1]: Station 1 goes offline.[1,1]: Station 1 is offline and there are no other stations in its grid, so the result is -1.Constraints:
1 <= c <= 1050 <= n == connections.length <= min(105, c * (c - 1) / 2)connections[i].length == 21 <= ui, vi <= cui != vi1 <= queries.length <= 2 * 105queries[i].length == 2queries[i][0] is either 1 or 2.1 <= queries[i][1] <= cimport java.util.PriorityQueue
class Solution {
private class UF(n: Int) {
val par: IntArray = IntArray(n)
val pq: Array<PriorityQueue<Int>> = Array(n) { PriorityQueue() }
val active: BooleanArray = BooleanArray(n)
init {
for (i in 0 until n) {
active[i] = true
par[i] = i
pq[i].add(i)
}
}
fun find(u: Int): Int {
if (par[u] == u) {
return u
}
par[u] = find(par[u])
return par[u]
}
fun union(u: Int, v: Int) {
val pu = find(u)
val pv = find(v)
if (pu == pv) {
return
}
if (pq[pu].size > pq[pv].size) {
while (pq[pv].isNotEmpty()) {
pq[pu].add(pq[pv].poll())
}
par[pv] = pu // Should be pu, not par[pu]
} else {
while (pq[pu].isNotEmpty()) {
pq[pv].add(pq[pu].poll())
}
par[pu] = pv // Should be pv, not par[pv]
}
}
fun inactive(u: Int) {
active[u] = false
}
fun check(u: Int): Int {
if (active[u]) {
return u
}
val pu = find(u)
while (pq[pu].isNotEmpty() && !active[pq[pu].peek()]) {
pq[pu].poll()
}
return if (pq[pu].isNotEmpty()) pq[pu].peek() else -2
}
}
fun processQueries(c: Int, connections: Array<IntArray>, queries: Array<IntArray>): IntArray {
val uf = UF(c)
for (con in connections) {
val u = con[0]
val v = con[1]
uf.union(u - 1, v - 1)
}
val res = mutableListOf<Int>()
for (q in queries) {
if (q[0] == 1) {
res.add(uf.check(q[1] - 1) + 1)
} else {
uf.inactive(q[1] - 1)
}
}
return res.toIntArray()
}
}