import sys

def MI(): return map(int, sys.stdin.buffer.readline().split())
def LI(): return list(map(int, sys.stdin.buffer.readline().split()))
def LLI(rows_number): return [LI() for _ in range(rows_number)]
inf = 10**16

import numpy as np
from scipy.sparse.csgraph import dijkstra
from scipy.sparse import csr_matrix

n, m, l = MI()
l -= 1
tt = np.array(LI(), dtype="i8")

if np.sum(tt == 0) >= n-1:
    print(0)
    exit()

e = np.array(LLI(m), dtype="i8").T
g = csr_matrix((e[2], e[:2]-1), (n, n))

dd = dijkstra(g, directed=False).astype("i8")

iscar = tt > 0
ans = inf
for g in range(n):
    cur = np.sum(tt*dd[g])*2+np.min(dd[l][iscar]-dd[g][iscar])
    if cur < ans: ans = cur

print(ans)