import heapq class MinCostFlow: INF=10**18 def __init__(self, n): self.n=n self.g=[[] for _ in range(n)] self.h=[0]*n def add_edge(self, frm, to, cap, cost): self.g[frm].append((to, cap, cost, len(self.g[to]))) self.g[to].append((frm, 0, -cost, len(self.g[frm])-1)) def mincostflow(self, s, t, f): res=0 self.h=[0]*self.n while f>0: que=[] dist=[self.INF]*self.n dist[s]=0 heapq.heappush(que, (0, s)) prevv=[0]*self.n preve=[0]*self.n while len(que)>0: p=heapq.heappop(que) if dist[p[1]]
0 and dist[e[0]]>dist[p[1]]+e[2]+self.h[p[1]]-self.h[e[0]]: dist[e[0]]=dist[p[1]]+e[2]+self.h[p[1]]-self.h[e[0]] prevv[e[0]]=p[1] preve[e[0]]=i heapq.heappush(que, (dist[e[0]], e[0])) self.h=[a+b for a, b in zip(self.h, dist)] if dist[t]==self.INF: return -1 d=f v=t while v!=s: d=min(d, self.g[prevv[v]][preve[v]][1]) v=prevv[v] f-=d res+=d*self.h[t] v=t def add(e, d): return (e[0], e[1]+d, e[2], e[3]) while v!=s: self.g[prevv[v]][preve[v]]=add(self.g[prevv[v]][preve[v]], -d) self.g[v][self.g[prevv[v]][preve[v]][3]]=add(self.g[v][self.g[prevv[v]][preve[v]][3]], d) v=prevv[v] return res n=int(input()) s=input() v=list(map(int, input().split())) start, end, S, T=n+1, n, n+2, n+3 mcf=MinCostFlow(n+4) mcf.add_edge(S, start, n//4, 0) mcf.add_edge(end, T, n//4, 0) ans=0 f=0 s0="yuki" idx=[n+1]*5 idx[4]=n for i in range(n-1, -1, -1): k=s0.find(s[i]) if idx[k]<=n: mcf.add_edge(i, idx[k], n//4, 0) if idx[k+1]<=n: mcf.add_edge(S, idx[k+1], 1, 0) mcf.add_edge(idx[k+1], i, 1, v[i]) mcf.add_edge(i, T, 1, 0) ans+=v[i] f+=1 idx[k]=i if idx[0]<=n: mcf.add_edge(start, idx[0], n//4, 0) mcf.add_edge(start, end, n//4, 0) ans-=mcf.mincostflow(S, T, n//4+f) print(ans)