#include using namespace std; template< typename key_t, typename val_t > struct RadixHeap { static constexpr int bit = sizeof(key_t) * 8; array< vector< pair< key_t, val_t > >, bit > vs; size_t sz; key_t last; RadixHeap() : sz(0), last(0) {} bool empty() const { return sz == 0; } size_t size() const { return sz; } inline int getbit(int a) const { return a ? bit - __builtin_clz(a) : 0; } inline int getbit(int64_t a) const { return a ? bit - __builtin_clzll(a) : 0; } void push(const key_t &key, const val_t &val) { sz++; vs[getbit(key ^ last)].emplace_back(key, val); } pair< key_t, val_t > pop() { if(vs[0].empty()) { int idx = 1; while(vs[idx].empty()) idx++; last = min_element(vs[idx].begin(), vs[idx].end())->first; for(auto &p:vs[idx]) vs[getbit(p.first ^ last)].emplace_back(p); vs[idx].clear(); } --sz; auto res = vs[0].back(); vs[0].pop_back(); return res; } }; template< typename CapType, typename CostType > class MinCostFlowDAG { public: using Cat = CapType; using Cot = CostType; using pti = pair< Cot, int >; struct edge { int to, rev; Cat cap; Cot cost; }; const int V; const Cot inf; vector< vector< edge > > G; vector< Cot > h, dist; vector< int > deg, ord, prevv, preve; MinCostFlowDAG(const int node_size) : V(node_size), inf(numeric_limits< Cot >::max()), G(V), h(V, inf), dist(V), deg(V, 0), prevv(V), preve(V) {} void add_edge(const int from, const int to, const Cat cap, const Cot cost) { if(cap == 0) return; G[from].push_back((edge) {to, (int) G[to].size(), cap, cost}); G[to].push_back((edge) {from, (int) G[from].size() - 1, 0, -cost}); ++deg[to]; } bool tsort() { queue< int > que; for(int i = 0; i < V; ++i) { if(deg[i] == 0) que.push(i); } while(!que.empty()) { const int p = que.front(); que.pop(); ord.push_back(p); for(auto &e : G[p]) { if(e.cap > 0 && --deg[e.to] == 0) que.push(e.to); } } return (*max_element(deg.begin(), deg.end()) == 0); } void calc_potential(const int s) { h[s] = 0; for(const int v : ord) { if(h[v] == inf) continue; for(const edge &e : G[v]) { if(e.cap > 0) h[e.to] = min(h[e.to], h[v] + e.cost); } } } void Dijkstra(const int s) { RadixHeap< Cot, int > heap; fill(dist.begin(), dist.end(), inf); dist[s] = 0; heap.push(0, s); while(!heap.empty()) { pti p = heap.pop(); const int v = p.second; if(dist[v] < p.first) continue; for(int i = 0; i < (int) G[v].size(); ++i) { edge &e = G[v][i]; if(e.cap > 0 && dist[e.to] > dist[v] + e.cost + h[v] - h[e.to]) { dist[e.to] = dist[v] + e.cost + h[v] - h[e.to]; prevv[e.to] = v, preve[e.to] = i; heap.push(dist[e.to], e.to); } } } } void update(const int s, const int t, Cat &f, Cot &res) { for(int i = 0; i < V; i++) { if(dist[i] != inf) h[i] += dist[i]; } Cat d = f; for(int v = t; v != s; v = prevv[v]) { d = min(d, G[prevv[v]][preve[v]].cap); } f -= d; res += h[t] * d; for(int v = t; v != s; v = prevv[v]) { edge &e = G[prevv[v]][preve[v]]; e.cap -= d; G[v][e.rev].cap += d; } } Cot solve(const int s, const int t, Cat f) { if(!tsort()) assert(false); // not DAG calc_potential(s); Cot res = 0; while(f > 0) { Dijkstra(s); if(dist[t] == inf) return -1; update(s, t, f, res); } return res; } }; int main() { int N; cin >> N; string S; cin >> S; vector< int > V(N); for(auto &v : V) cin >> v; MinCostFlowDAG< int64_t, int64_t > flow(N + N + 2); int X = N + N; int Y = X + 1; string tmp = "yuki"; for(int i = 0; i < N; i++) { flow.add_edge(2 * i, 2 * i + 1, 1, -V[i]); if(S[i] == 'i') { flow.add_edge(2 * i + 1, Y, 1, 0); } else { if(S[i] == 'y') { flow.add_edge(X, 2 * i, 1, 0); } int p = tmp.find(S[i]); for(int j = i + 1; j < N; j++) { if(tmp[p + 1] == S[j]) { flow.add_edge(2 * i + 1, 2 * j, 1, 0); } } } } flow.add_edge(X, Y, N / 4, 0); cout << -flow.solve(X, Y, N / 4) << "\n"; }