class MinCostFlow: def __init__(self, n): self.n = n self.G = [[] for i in range(n)] def addEdge(self, f, t, cap, cost): # [to, cap, cost, rev] self.G[f].append([t, cap, cost, len(self.G[t])]) self.G[t].append([f, 0, -cost, len(self.G[f])-1]) def minCostFlow(self, s, t, f): n = self.n G = self.G prevv = [0]*n; preve = [0]*n INF = 10**9+7 res = 0 while f: dist = [INF]*n dist[s] = 0 update = 1 while update: update = 0 for v in range(n): if dist[v] == INF: continue gv = G[v] for i in range(len(gv)): to, cap, cost, rev = gv[i] if cap > 0 and dist[v] + cost < dist[to]: dist[to] = dist[v] + cost prevv[to] = v; preve[to] = i update = 1 if dist[t] == INF: return -1 d = f; v = t while v != s: d = min(d, G[prevv[v]][preve[v]][1]) v = prevv[v] f -= d res += d * dist[t] v = t while v != s: e = G[prevv[v]][preve[v]] e[1] -= d G[v][e[3]][1] += d v = prevv[v] return res K,N,M=map(int,input().split()) A=list(map(int,input().split())) G=[[] for i in range(N)] B=list(map(int,input().split())) for i in range(M): a,b,c=map(int,input().split()) G[a-1].append((b-1,c)) G[b-1].append((a-1,c)) from heapq import heappush,heappop dist=[[10**16]*N for i in range(N)] for i in range(N): dist[i][i]=0 S=[] heappush(S,i) kaku=[False]*N while S: w=heappop(S) time=w//(10**4) x=w%(10**4) if kaku[x]==True: continue kaku[x]=True for B2 in G[x]: y,c=B2[:] if dist[i][y]>dist[i][x]+c: dist[i][y]=dist[i][x]+c heappush(S,dist[i][y]*10**4+y) exit() Z=MinCostFlow(K+N+2) for i in range(1,K+1): Z.addEdge(0,i,1,0) pos=A[i-1]-1 for j in range(N): Z.addEdge(i,j+1+K,1,dist[pos][j]) for j in range(N): Z.addEdge(j+1+K,N+K+1,B[j],0) ans=Z.minCostFlow(0,N+K+1,K) print(ans)