To create the most polygons, you should use as few sticks as possible per polygon. What polygon has the least number of sides?

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>

using namespace std;

int main(){ 
  int t; 
  cin >> t;
  while(t--) {
    int n; 
    cin >> n; 
    vector<int> a(101, 0);
    for (int i = 0; i < n; i++) {
      int x; 
      cin >> x;
      a[x]++;
    }
    int sum = 0;
    for (auto& s : a) 
      sum += s / 3;
    cout << sum << "\n";
  }
}

Given that the sum is bounded, which bits could be set in the bitwise OR?

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>

using namespace std;
 
int main(){
    int t; 
    cin >> t;
    while(t--) {
        int n, k;
        cin >> n >> k;
        vector<int> a(n);
        if (n == 1) {
            a[0] = k;
        }
        else {
            int msb = 0;
            // find the msb of k
            for (int i = 0; i < 31; i++) {
                if (k & (1 << i)) {
                    msb = i;
                }
            }
            a[0] = (1 << msb) - 1;
            a[1] = k - a[0];
            for (int i = 2; i < n; i++) {
                a[i] = 0;
            }
        }
        for (int i = 0; i < n; i++) {
            cout << a[i] << " ";
        }
        cout << "\n";
    }
    return 0;
}

You can ignore the exact positions of the rooks in the initial configurations. Only the number of free rows and columns matter.

For each move you can make, how does the number of free rows/columns change?

Altenatively, we can iterate on the number of type $$$1$$$ moves we play. Let's term this to be $$$c$$$.

There are $$${m\choose c}$$$ ways to choose the $$$c$$$ type $$$1$$$ moves. Now, we have $$$m - c$$$ rows/columns left, and this must be even (type 2 moves cannot exhaust an odd number of rows/columns).

We can see that each of the $$$(m - c)!$$$ permutations of the remaining columns correspond to a set of moves we can play. For example, if we have the columns $$$(1, 4, 5, 6)$$$ remaining, a permutation $$$(4, 5, 6, 1)$$$ corresponds to playing the moves $$$(4, 5), (6, 1)$$$. However, if we simply count the number of permutations, we would also be counting the permutation $$$(6, 1, 4, 5)$$$, which corresponds to the same set of moves.

To remove overcounting, we can just divide $$$(m - c)!$$$ by $$$((m - c)/2)!$$$ (removing the permutations of the pairs chosen).

Hence, the answer becomes

$$$\sum\limits_{c = 0}^m [(m - c) \bmod 2 = 0] {m \choose c} \frac{(m - c)!}{\left(\frac{m - c}{2}\right)!}$$$

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>
using namespace std;
 
int dp[(int) 3e5+5];
const int MOD = 1e9 + 7;
 
int main() {
    cin.tie(0), cout.tie(0)->sync_with_stdio(0);
    int t; 
    cin >> t;
    while (t--) {
        int n, k;
        cin >> n >> k;
        int used = 0;
        for (int i = 0; i < k; i++) {
            int r, c; cin >> r >> c;
            used += 2 - (r == c);
        }
        int m = n - used;
        dp[0] = dp[1] = 1;
        for (int i = 2; i <= m; i++)
            dp[i] = (dp[i-1] + 2ll * (i-1) * dp[i-2] % MOD) % MOD;
        cout << dp[m] << "\n";    
    }
    
}

How can you simplify the given inequality? Use the fact that the XOR of a number with itself is 0.

The inequality simplifies to $$$f(x, z) \oplus a_y > f(x, z)$$$. For a given $$$a_y$$$ what subarrays (that include $$$a_y$$$) would satisfy this?

First we may rewrite the inequality as $$$f(x, z) \oplus a_y > f(x, z)$$$. So, for each index $$$y$$$, we want to find the total number of subarrays that contain $$$y$$$ but whose $$$\text{xor}$$$ decreases when we include the contribution of $$$a_y$$$.

Including $$$a_y$$$ in some subarray $$$[x, z]$$$ (where $$$x \le y \le z$$$) can make the $$$\text{xor}$$$ lower only when some set bit of $$$a_y$$$ cancels out an existing set bit in $$$f(x, y - 1) \oplus f(y + 1\dots r)$$$. Consider the most signicant set bit in $$$a_y$$$. Call this bit $$$i$$$. Including $$$a_y$$$ would decrease the subarray $$$\text{xor}$$$ in subarrays where $$$f(x, y - 1)$$$ has $$$i$$$ set while $$$f(y+1, z)$$$ is unset or vice-versa.

Now, for the subarrays where both the prefix subarray ($$$[x \dots y - 1]$$$) as well as the suffix subarray ($$$[y + 1 \dots z]$$$) where either both have bit $$$i$$$ set or both have it unset, by including $$$a_y$$$, we increment the xor by at least $$$2^i$$$. Even if by including $$$a_y$$$, every other smaller bit gets unset (because of cancelling out with $$$a_y$$$), this sum of these decrements is still less than $$$2^i$$$ thereby resulting in an overall positive contribution by including $$$a_y$$$.

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>

using namespace std;

const int Z = 30;
const int MAX_N = 1e5 + 3;
int pref[Z][MAX_N][2];
int suff[Z][MAX_N][2];

void solve() {
    int n;
    cin >> n;
    vector<int> a(n + 1);
    for (int i = 1; i <= n; i++) cin >> a[i];
    for (int i = 0; i < Z; i++) suff[i][n + 1][0] = suff[i][n + 1][1] = 0;
    for (int i = 0; i < Z; i++) {
        for (int j = 1; j <= n; j++) {
            int t = !!(a[j] & (1 << i));
            for (int k = 0; k < 2; k++) pref[i][j][k] = (t == k) + pref[i][j - 1][k ^ t];
        }
        for (int j = n; j >= 1; j--) {
            int t = !!(a[j] & (1 << i));
            for (int k = 0; k < 2; k++) suff[i][j][k] = (t == k) + suff[i][j + 1][k ^ t];
        }
    }
    long long ans = 0;
    for (int i = 1; i <= n; i++) {
        int z = 31 - __builtin_clz(a[i]);
        ans += 1ll * pref[z][i - 1][1] * (1 + suff[z][i + 1][0]);
        ans += 1ll * (1 + pref[z][i - 1][0]) * suff[z][i + 1][1];
    }
    cout << ans << "\n";
}

int main() {
    int tc;
    cin >> tc;
    while (tc--)
        solve();
    return 0;
}

For what values of $$$j$$$ is $$$C(i,j) \bmod j = 0$$$?

For all other values of $$$j$$$, how can you precompute the result?

To precompute, switch around the loop order.

The number of distinct ways you can select $$$k$$$ distinct numbers from the set {$$$1, 2, \ldots, i$$$} and arrange them in a line is $$$i(i-1)\cdots(i-k+1)$$$, and since arranging in a circle introduces rotational symmetry we have to divide by $$$k$$$, so we have $$$C(i,k) = \frac{i(i-1)\cdots(i-k+1)}{k}$$$.

Therefore $$$C(i,j) \bmod j = \frac{i(i-1)\cdots(i-j+1)}{j} \bmod j$$$. Now since the numerator is a product of $$$j$$$ consecutive integers, atleast one of them will be divisible by $$$j$$$. More precisely the exact integer which will be divisible by $$$j$$$ will be $$$ j \times \lfloor \frac{i}{j} \rfloor$$$. Hence we can simplify the fraction by removing the denominator and replacing the term $$$ j \times \lfloor \frac{i}{j} \rfloor$$$ with $$$\lfloor \frac{i}{j} \rfloor$$$ in the numerator. Each of the other $$$j-1$$$ integers in the numerator, after applying $$$\bmod j$$$ would cover all integers from $$$1$$$ to $$$j-1$$$. Hence

Here we can notice that all proper factors of $$$j$$$ will occur in $$$(j-1)!$$$, so based on this we can tell that $$$C(i,j) \bmod j = 0$$$ for all composite numbers $$$j$$$ except $$$j=4$$$.

We first can handle the case of $$$j$$$ being prime. Using Wilson's Theorem, we know that $$$(j-1)! \equiv -1 \bmod j$$$ when $$$j$$$ is prime. Hence

Now we can reverse the order of loops to sum over all primes, and to calculate the contribution of each prime we can maintain a update array called $$$delta$$$.

To calculate the contribution for a single prime $$$p$$$, we know that for all $$$n$$$ from $$$kp$$$ to $$$(k + 1)p - 1$$$ (for all $$$k$$$ such that $$$kp < 1e6$$$) the contribution would be $$$-k$$$. So, in the $$$delta$$$ array, we increment index $$$kp$$$ with $$$-k \bmod p$$$ and decrement index $$$(k + 1)p$$$ with $$$-k \mod p$$$. Now, when we perform a prefix sum on this $$$delta$$$ array, we obtain the correct contributions from all primes.

For the case of $$$j=4$$$, we just need to handle it as a prime.

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>
 
using namespace std;
 
const int MOD = 1e9 + 7;
const int MAX_N = 1e6 + 3;
bitset<MAX_N> isprime;
vector<int> primes;
 
vector<int> eratosthenesSieve(int lim) {
    isprime.set();
    isprime[0] = isprime[1] = false;
    for (int i = 4; i < lim; i += 2) isprime[i] = false;
    for (int i = 3; i * i < lim; i += 2)
        if (isprime[i])
            for (int j = i * i; j < lim; j += i * 2) isprime[j] = false;
    vector<int> pr;
    for (int i = 2; i < lim; i++)
        if (isprime[i]) pr.push_back(i);
    return pr;
}
 
vector<int> ans(MAX_N, 0);
 
signed main() {
    primes = eratosthenesSieve(MAX_N);
    vector<int> del(MAX_N, 0);
    // Handle the contribution for all primes
    for (auto &p: primes) {
        for (int curr = p; curr < MAX_N; curr += p) {
            int inc = (p - ((curr / p) % p)) % p;
            del[curr] = (del[curr] + inc) % MOD;
            if (curr + p < MAX_N) del[curr + p] = (del[curr + p] - inc + MOD) % MOD;
        }
    }
    //Special case of 4
    for (int curr = 4; curr < MAX_N; curr += 4) {
        int inc = (2 * (curr / 4)) % 4;
        del[curr] = (del[curr] + inc) % MOD;
        if (curr + 4 < MAX_N) del[curr + 4] = (del[curr + 4] - inc + MOD) % MOD;
    }
    int pref = 0;
    for (int i = 1; i < MAX_N; i++) {
        pref = (pref + del[i]) % MOD;
        ans[i] = (ans[i - 1] + pref) % MOD;
    }
    int tc;
    cin >> tc;
    while (tc--) {
        int n;
        cin >> n;
        cout << ans[n] << "\n";
    }
}

Let's try answering a different question. Given two multisets of elements how can we check if they differ? Hashing? How to multiset hash efficiently?

Okay if we can now differentiate two multisets of unequal elements, can we try to answer queries by inserting into these hypothetical multisets and binary search the differing point to identify the element?

Let's discuss how to hash a multiset of elements $$$a$$$, $$$b$$$ and $$$c$$$. Here, I will link you to a famous blog by rng_58 Hashing and Probability of Collision. Quoting, let's take a random integer $$$r$$$ from the interval $$$[0, MOD)$$$, and compute the hash $$$(r+a_1)(r+a_2)\dots(r+a_n)$$$. This is a polynomial of $$$r$$$ of degree $$$n$$$, so again from Schwartz-Zippel lemma, the collision probability is at most $$$\frac{n}{MOD}$$$. The nice thing about this construction is that we can compute rolling hashes using this idea fast. To make implementation easier, this bound applies for summing the random numbers as well. You can check this for proof.

Let's try to answer a single query $$$(u_1, v_1, u_2, v_2)$$$ using binary search. We will solve this query in $$$nlog^2(n)$$$ using this idea. To check for some $$$mid$$$ in our binary search, we insert the values of all nodes which have values from $$$1$$$ to $$$mid$$$ into a data structure that we can query the path sum of $$$u$$$ to $$$v$$$ using. Querying path sum is a fairly standard problem that can be solved using BIT / Segment trees and ETT (Euler-Tour Trick). Now to solve this query, we only need to binary search and find the first vertex where the hashes differ for both the paths. This vertex is guaranteed to have mismatched frequency on the two paths since it's addition into the path multi-sets changed their hashes. So now we can solve a single query in $$$nlog^2(n)$$$ time using hashing + BIT / Segtree.

Now to solve this problem for all $$$Q$$$ queries. We can use the idea of parallel binary search here to improve our idea to answering all $$$Q$$$ queries efficiently. We can run the binary search for all queries in parallel. For each iteration, sort queries by the current position of their $$$mid$$$ values. Then insert values from $$$1$$$ to $$$mid$$$ of the first query into the BIT and query range sum to determine for that particular query how to adjust $$$mid$$$. You can then move the $$$mid$$$ pointer to that of the next query and so on. This solution will run in $$$O(nlog(n) + qlog^2(n))$$$.

Upd: Thanks to IceKnight1093 for pointing this out. If we just use a single int hash with a field size of $$$\approx 10^9$$$, it gives us a probability of failure of $$$\frac{1}{10^9}$$$ per query. Since we're doing somewhere of the order $$$10^6$$$ comparisons per hash representation, this gives a rough $$$1 - \Big(1 - \frac{1}{10^9}\Big)^{10^6} \approx 10^{-3}$$$ chance of failure. This is not a great bound theoretically speaking, but from a practical standpoint, it is a loose bound and it is extremely unlikely that this solution can be hacked. That said, if we want better theoretical bounds we can just use a hash with field size $$$\approx 10^{18}$$$ or use double hashing. Even if we were to query all $$${n \choose 2}$$$ paths, the chance of collision is $$$\approx \frac{n^2}{10^{18}} \approx 10^{-8}$$$, which is more than good enough. TL's were set to allow double hashing solutions to pass comfortably.

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>
using namespace std;

const int MOD = 1e9 + 7;
using ll = long long;
using dbl = long double;
//#define int ll

using vi = vector<int>;
using vvi = vector<vi>;
using pii = pair<int, int>;
using vii = vector<pii>;
using vvii = vector<vii>;
using vll = vector<ll>;

#define ff first
#define ss second
#define pb push_back
#define rep(i, a, b) for(int i = a; i < (b); ++i)
#define all(x) begin(x), end(x)
#define sz(x) (int)(x).size()
#define tc int t; cin>>t; while(t--)
#define fightFight cin.tie(0) -> sync_with_stdio(0)

template<class T>
struct RMQ {
    vector<vector<T>> jmp;
    RMQ(const vector<T>& V) : jmp(1, V) {
        for (int pw = 1, k = 1; pw * 2 <= sz(V); pw *= 2, ++k) {
            jmp.emplace_back(sz(V) - pw * 2 + 1);
            rep(j,0,sz(jmp[k]))
                jmp[k][j] = min(jmp[k - 1][j], jmp[k - 1][j + pw]);
        }
    }
    T query(int a, int b) {
        assert(a <= b); // tie(a, b) = minimax(a, b)
        int dep = 31 - __builtin_clz(b-a+1);
        return min(jmp[dep][a], jmp[dep][b - (1 << dep) + 1]);
    }
};

struct LCA {
    int T = 0;
    vi st, path, ret; vi en, d;
    RMQ<int> rmq;
    LCA(vector<vi>& C) : st(sz(C)), en(sz(C)), d(sz(C)), rmq((dfs(C,0,-1), ret)) {}
    void dfs(vvi &adj, int v, int par) {
        st[v] = T++;
        for (auto to : adj[v]) if (to != par) {
            path.pb(v), ret.pb(st[v]);
            d[to] = d[v] + 1;
            dfs(adj, to, v);
        }
        en[v] = T-1;
    }
    bool anc(int p, int c) { return st[p] <= st[c] and en[p] >= en[c]; }
    int lca(int a, int b) {
        if (a == b) return a;
        tie(a, b) = minmax(st[a], st[b]);
        return path[rmq.query(a, b-1)];
    }
    int dist(int a, int b) { return d[a] + d[b] - 2*d[lca(a,b)]; }
};

template<const int mod>
struct mint {
    constexpr mint(int x = 0) : val((x % mod + mod) % mod) {}
    mint& operator+=(const mint &b) { val += b.val; val -= mod * (val >= mod); return *this; }
    mint& operator-=(const mint &b) { val -= b.val; val += mod * (val < 0); return *this; }
    mint& operator*=(const mint &b) { val = 1ll * val * b.val % mod; return *this; }
    mint& operator/=(const mint &b) { return *this *= b.inv(); }
    mint inv() const {
        int x = 1, y = 0, t;
        for(int a=val, b=mod; b; swap(a, b), swap(x, y))
            t = a/b, a -= t * b, x -= t * y;
        return mint(x);
    }
    mint pow(int b) const {
        mint a = *this, res(1);
        for(; b; a *= a, b /= 2)  if(b&1) res *= a;
        return res;
    }
    friend mint operator+(const mint &a, const mint &b) {return mint(a) += b;}
    friend mint operator-(const mint &a, const mint &b) {return mint(a) -= b;}
    friend mint operator*(const mint &a, const mint &b) {return mint(a) *= b;}
    friend mint operator/(const mint &a, const mint &b) {return mint(a) /= b;}
    friend bool operator==(const mint &a, const mint &b) {return a.val == b.val;}
    friend bool operator!=(const mint &a, const mint &b) {return a.val != b.val;}
    friend bool operator<(const mint &a, const mint &b) {return a.val < b.val;}
    friend ostream& operator<<(ostream &os, const mint &a) {return os << a.val;}
    int val;
};
using Mint = mint<MOD>;

template<typename... Ts, size_t... Is, typename F>
void __op(index_sequence<Is...>, tuple<Ts...>& a, const tuple<Ts...>& b, F op) { ((get<Is>(a) = op(get<Is>(a), get<Is>(b))), ...); }
#define OVERLOAD(OP, F) \
template<typename... Ts> auto& operator OP##=(tuple<Ts...> &a, const tuple<Ts...> &b) { __op(index_sequence_for<Ts...>(), a, b, F<>{}); return a; } \
template<typename... Ts> auto operator OP(const tuple<Ts...> &a, const tuple<Ts...> &b) { auto c = a; c OP##= b; return c; }
OVERLOAD(+, plus) OVERLOAD(-, minus) OVERLOAD(*, multiplies) OVERLOAD(/, divides)

constexpr int NUM_HASHES = 2; // *
constexpr array<int, NUM_HASHES> mods = {127657753, 987654319}; // *
template <size_t N = NUM_HASHES>
constexpr auto mint_ntuple(const int &v) {
    return [&]<size_t... Is>(index_sequence<Is...>) { return make_tuple(mint<mods[Is]>(v)...); }(make_index_sequence<N>{}); }

using HT = decltype(mint_ntuple(0));

template<typename T>
struct FT {
    vector<T> s;
    T def;
    FT(int n, T def) : s(n, def), def(def) {}
    void update(int pos, T dif) { // a[pos] += dif
        for (; pos < sz(s); pos |= pos + 1) s[pos] += dif;
    }
    T query(int pos) { // sum of values in [0, pos)
        pos++;
        T res = def;
        for (; pos > 0; pos &= pos - 1) res += s[pos-1];
        return res;
    }
};

struct Query {
    int u1, v1, u2, v2, k;
    int l, r, ans, i;
    int mid(){ return l + (r-l)/2; }
};

auto rng = std::mt19937(std::random_device()());
constexpr const int MXN = 1e5+5;

void solve(){
    int n; cin >> n;
    vi a(n); for(auto &x : a) cin >> x, x--;
    vvi adj(n);
    for(int i=0; i < n-1; i++){
        int u, v; cin >> u >> v; u--, v--;
        adj[u].pb(v); adj[v].pb(u);
    }

    int q; cin >> q;
    vector<Query> queries(q);
    int idx=0;
    for(auto &[u1, v1, u2, v2, k, l, r, ans, i] : queries) cin >> u1 >> v1 >> u2 >> v2 >> k, u1--, v1--, u2--, v2--, l=0, ans=-1, i=idx++;

    LCA lca(adj);
    vi uni(a); sort(all(uni)); uni.resize(unique(all(uni)) - uni.begin());
    vvi cnode(MXN);
    for(int v=0; v < n; v++) cnode[a[v]].pb(v);
    vector<HT> hash(MXN);
    for(auto &c : uni) hash[c] = {rng(), rng()};    

    auto get_ett = [&](vvi &adj){
        vi tin(n), tout(n);
        int timer = 0;
        function<void(int,int)> dfs = [&](int v, int p){
            tin[v] = timer++;
            for(auto &to : adj[v]) if(to != p) dfs(to, v);
            tout[v] = timer++;
        };
        dfs(0, -1);
        return make_pair(tin, tout);
    };
    auto [tin, tout] = get_ett(adj);

    for(auto &q : queries) q.r = sz(uni)-1;

    vi vis(MXN);
    for(int _=0; _<20; _++){
        FT<HT> st(2*n, mint_ntuple(0));
        sort(all(queries), [&](Query &a, Query &b) { return a.mid() < b.mid(); });
        for(int qq=0, cptr=0; qq < q; qq++) if(queries[qq].l <= queries[qq].r) {
            auto &[u1, v1, u2, v2, k, l, r, ans, i] = queries[qq];
            for(; cptr < sz(uni) and cptr <= queries[qq].mid(); cptr++){
                for(auto &v : cnode[uni[cptr]])
                    st.update(tin[v], hash[uni[cptr]]), st.update(tout[v], mint_ntuple(0)-hash[uni[cptr]]);
                vis[uni[cptr]] = true;
            }

            int lca1 = lca.lca(u1, v1), lca2 = lca.lca(u2, v2);
            HT r1 = st.query(tin[lca1]), r2 = st.query(tin[lca2]);
            HT hash1 = (st.query(tin[u1]) + st.query(tin[v1]) - (r1 + r1));
            if(vis[a[lca1]]) hash1 += hash[a[lca1]];
            HT hash2 = (st.query(tin[u2]) + st.query(tin[v2]) - (r2 + r2));
            if(vis[a[lca2]]) hash2 += hash[a[lca2]];

            if(hash1 != hash2){
                ans = queries[qq].mid();
                r = queries[qq].mid()-1;
            }
            else l = queries[qq].mid()+1;
        }
        for(auto &c : uni) vis[c] = false;
    }
    
    sort(all(queries), [&](Query &a, Query &b) { return a.i < b.i; });
    for(auto &[u1, v1, u2, v2, k, l, r, ans, i] : queries){
        if(ans == -1) cout << 0 << '\n';
        else cout << 1 << ' ' << uni[ans]+1 << '\n';
    }
}
signed main(){ 
    fightFight; 
    solve(); 
}

How would you find the smallest element with different frequencies in two static arrays using a segment tree? Consider hashing.

Try extending this idea to finding the smallest element with different frequencies in two different paths on a tree. Think persistent data structures.

Once you solve that, you can be extend it to finding the k smallest elements.

You can also use an idea similar to the hashing technique used in F1 to hash the segment tree nodes.

• Great Problem
• Ok Problem
• Bad Problem
• Didn't solve

#include <bits/stdc++.h>
using namespace std;
 
const int MOD1 = 1e9 + 7;
const int MOD2 = 998244353;
using ll = long long;
using dbl = long double;
//#define int ll
 
using vi = vector<int>;
using vvi = vector<vi>;
using pii = pair<int, int>;
using vii = vector<pii>;
using vvii = vector<vii>;
using vll = vector<ll>;
 
#define ff first
#define ss second
#define pb push_back
#define rep(i, a, b) for(int i = a; i < (b); ++i)
#define all(x) begin(x), end(x)
#define sz(x) (int)(x).size()
#define tc int t; cin>>t; while(t--)
#define fightFight cin.tie(0) -> sync_with_stdio(0)
template<class T>
struct RMQ {
    vector<vector<T>> jmp;
    RMQ(const vector<T>& V) : jmp(1, V) {
        for (int pw = 1, k = 1; pw * 2 <= sz(V); pw *= 2, ++k) {
            jmp.emplace_back(sz(V) - pw * 2 + 1);
            rep(j,0,sz(jmp[k]))
                jmp[k][j] = min(jmp[k - 1][j], jmp[k - 1][j + pw]);
        }
    }
    T query(int a, int b) {
        assert(a <= b); // tie(a, b) = minimax(a, b)
        int dep = 31 - __builtin_clz(b-a+1);
        return min(jmp[dep][a], jmp[dep][b - (1 << dep) + 1]);
    }
};
struct LCA {
    int T = 0;
    vi st, path, ret; vi en, d;
    RMQ<int> rmq;
    LCA(vector<vi>& C) : st(sz(C)), en(sz(C)), d(sz(C)), rmq((dfs(C,1,-1), ret)) {}
    void dfs(vvi &adj, int v, int par) {
        st[v] = T++;
        for (auto to : adj[v]) if (to != par) {
            path.pb(v), ret.pb(st[v]);
            d[to] = d[v] + 1;
            dfs(adj, to, v);
        }
        en[v] = T-1;
    }
    bool anc(int p, int c) { return st[p] <= st[c] and en[p] >= en[c]; }
    int lca(int a, int b) {
        if (a == b) return a;
        tie(a, b) = minmax(st[a], st[b]);
        return path[rmq.query(a, b-1)];
    }
    int dist(int a, int b) { return d[a] + d[b] - 2*d[lca(a,b)]; }
};
template<const int mod>
struct mint {
    constexpr mint(int x = 0) : val((x % mod + mod) % mod) {}
    mint& operator+=(const mint &b) { val += b.val; val -= mod * (val >= mod); return *this; }
    mint& operator-=(const mint &b) { val -= b.val; val += mod * (val < 0); return *this; }
    mint& operator*=(const mint &b) { val = 1ll * val * b.val % mod; return *this; }
    mint& operator/=(const mint &b) { return *this *= b.inv(); }
    mint inv() const {
        int x = 1, y = 0, t;
        for(int a=val, b=mod; b; swap(a, b), swap(x, y))
            t = a/b, a -= t * b, x -= t * y;
        return mint(x);
    }
    mint pow(int b) const {
        mint a = *this, res(1);
        for(; b; a *= a, b /= 2)  if(b&1) res *= a;
        return res;
    }
    friend mint operator+(const mint &a, const mint &b) { return mint(a) += b; }
    friend mint operator-(const mint &a, const mint &b) { return mint(a) -= b; }
    friend mint operator*(const mint &a, const mint &b) { return mint(a) *= b; }
    friend mint operator/(const mint &a, const mint &b) { return mint(a) /= b; }
    friend bool operator==(const mint &a, const mint &b) { return a.val == b.val; }
    friend bool operator!=(const mint &a, const mint &b) { return a.val != b.val; }
    friend bool operator<(const mint &a, const mint &b) { return a.val < b.val; }
    friend ostream& operator<<(ostream &os, const mint &a) { return os << a.val; }
    int val;
};
mt19937_64 rng(chrono::steady_clock::now().time_since_epoch().count());
uniform_int_distribution<ll> rnd(20,10000);
using Mint1 = mint<MOD1>;
using Mint2 = mint<MOD2>;
using Mint = pair<Mint1,Mint2>;
const int N = 3e5 + 10, LOGN = 20;
int p1, p2;
int blen = 0;
int L[N * LOGN], R[N * LOGN];
Mint ST[N * LOGN], p_pow[N];
void prec() {
    p1 = rnd(rng);
    p2 = p1; 
    while (p2 == p1) p2 = rnd(rng);
    p_pow[0].ff = 1;
    p_pow[0].ss = 1;
    for (int i = 1; i < N; i++) {
        p_pow[i].ff = p_pow[i - 1].ff * p1;
        p_pow[i].ss = p_pow[i - 1].ss * p2;
    }
}
int update(int pos, int l, int r, int id) {
    if (pos < l || pos > r) return id;
    int ID = ++blen, m = (l + r) / 2;
    if (l == r) return (ST[ID] = {ST[id].ff + 1, ST[id].ss + 1}, ID);
    L[ID] = update(pos, l, m, L[id]);
    R[ID] = update(pos, m + 1, r, R[id]);
    return (ST[ID] = {ST[L[ID]].ff + p_pow[m - l + 1].ff * ST[R[ID]].ff, ST[L[ID]].ss + p_pow[m - l + 1].ss * ST[R[ID]].ss}, ID);
}
vi vals;
using a4 = array<int,4>;
void descent(int l, int r, const array<int, 4>& a, const array<int, 4>& b, int k) {
    if (l == r) return void(vals.push_back(l));
    int m = (l + r) / 2;
#define stm(X, y) {ST[X[y[0]]].ff + ST[X[y[1]]].ff - ST[X[y[2]]].ff - ST[X[y[3]]].ff, ST[X[y[0]]].ss + ST[X[y[1]]].ss - ST[X[y[2]]].ss - ST[X[y[3]]].ss}
#define arr(X, y) (a4{X[y[0]], X[y[1]], X[y[2]], X[y[3]]})
    Mint l1 = stm(L, a), l2 = stm(L, b), r1 = stm(R, a), r2 = stm(R, b);
    if (sz(vals) < k && l1 != l2) descent(l, m, arr(L, a), arr(L, b), k);
    if (sz(vals) < k && r1 != r2) descent(m + 1, r, arr(R, a), arr(R, b), k);
}
 
vvi adj;
vi a, roots, par; 
void dfs(int x, int p) {
    par[x] = p;
    roots[x] = update(a[x], 0, N, roots[par[x]]);
    for (auto& s : adj[x]) if (s != p) {
        dfs(s, x);
    }
}
void solve(){
    int n; cin >> n;        
    adj = vvi(n + 1);
    a = roots = par = vi(n + 1);
    for (int i = 1; i <= n; i++) cin >> a[i];
    for (int i = 0; i < n - 1; i++) {
        int a, b; cin >> a >> b;
        adj[a].pb(b), adj[b].pb(a);
    }
    dfs(1, 0);
    LCA lca(adj);
    int q; cin >> q;
    while (q--) {
        vals.clear();
        int u1, v1, u2, v2, k; cin >> u1 >> v1 >> u2 >> v2 >> k;
        int l1 = lca.lca(u1, v1), l2 = lca.lca(u2, v2);
        a4 a{roots[u1], roots[v1], roots[l1], roots[par[l1]]};
        a4 b{roots[u2], roots[v2], roots[l2], roots[par[l2]]};
        descent(0, N, a, b, k);
        cout << sz(vals) << " ";
        for (auto& s : vals) cout << s << " ";
        cout << "\n";
    }
}
signed main(){ 
    fightFight; 
    prec();
    solve(); 
}