class UnionFind:
  def __init__(self, n):
    self.node = [-1 for _ in range(n)]

  def root(self, v):
    if self.node[v] < 0:
      return v

    st = []
    while self.node[v] >= 0:
      st.append(v)
      v = self.node[v]

    for u in st:
      self.node[u] = v

    return v

  def size(self, v):
    v = self.root(v)
    return (- self.node[v])

  def same(self, u, v):
    return self.root(u) == self.root(v)

  def unite(self, u, v):
    ru = self.root(u)
    rv = self.root(v)
    if ru == rv:
      return

    du = self.node[ru]
    dv = self.node[rv]
    if du <= dv:
      self.node[rv] = ru
      self.node[ru] += dv
    else:
      self.node[ru] = rv
      self.node[rv] += du

from itertools import combinations

INF = 1 << 60

n, m, k = map(int, input().split())
a = list(map(int, input().split()))

if k == 1:
  print(min(a))
  exit()

dist = [[INF for _ in range(n)] for _ in range(n)]
for u in range(n):
  dist[u][u] = 0

for _ in range(m):
  x, y, z = map(int, input().split())
  x -= 1
  y -= 1
  dist[x][y] = z
  dist[y][x] = z

for t in range(n):
  for u in range(n):
    for v in range(n):
      if dist[u][t] + dist[t][v] < dist[u][v]:
        dist[u][v] = dist[u][t] + dist[t][v]

ans = INF
for vs in combinations([u for u in range(n)], k):
  edges = []
  for i in range(len(vs) - 1):
    for j in range(i + 1, len(vs)):
      edges.append((dist[vs[i]][vs[j]], i, j))

  edges.sort(key=lambda x: x[0])
  uf = UnionFind(k)
  cnt = sum(a[v] for v in vs)
  for w, u, v in edges:
    if not uf.same(u, v):
      uf.unite(u, v)
      cnt += w

  ans = min(ans, cnt)

print(ans)