Problem:
Score : 400 points

Problem Statement

There are N towns in the State of Atcoder, connected by M bidirectional roads.

The i-th road connects Town A_i and B_i and has a length of C_i.

Joisino is visiting R towns in the state, r_1,r_2,..,r_R (not necessarily in this order).

She will fly to the first town she visits, and fly back from the last town she visits, but for the rest of the trip she will have to travel by road.

If she visits the towns in the order that minimizes the distance traveled by road, what will that distance be?

Constraints

2≤N≤200

1≤M≤N×(N-1)/2

2≤R≤min(8,N) (min(8,N) is the smaller of 8 and N.)

r_i≠r_j (i≠j)

1≤A_i,B_i≤N, A_i≠B_i

(A_i,B_i)≠(A_j,B_j),(A_i,B_i)≠(B_j,A_j) (i≠j)

1≤C_i≤100000

Every town can be reached from every town by road.

All input values are integers.

Input

Input is given from Standard Input in the following format:

N M R
r_1 ... r_R
A_1 B_1 C_1
:
A_M B_M C_M

Output

Print the distance traveled by road if Joisino visits the towns in the order that minimizes it.

Sample Input 1

3 3 3
1 2 3
1 2 1
2 3 1
3 1 4

Sample Output 1

2

For example, if she visits the towns in the order of 1, 2, 3, the distance traveled will be 2, which is the minimum possible.

Sample Input 2

3 3 2
1 3
2 3 2
1 3 6
1 2 2

Sample Output 2

4

The shortest distance between Towns 1 and 3 is 4. Thus, whether she visits Town 1 or 3 first, the distance traveled will be 4.

Sample Input 3

4 6 3
2 3 4
1 2 4
2 3 3
4 3 1
1 4 1
4 2 2
3 1 6

Sample Output 3

3

Solution in PyPy3 (2.4.0) (judge verdict: Accepted)

# ABC073D - joisino's travel
from heapq import heappop, heappush
from itertools import permutations

inf = 1 << 30

def dijkstra(source: int, edges: "List[Tuple[int, int]]") -> "List[int]":
    """
    Compute the distance of the shortest path from V_source to each vertex.

    Args:
        source: V_source
        edges: Edges info
    Returns:
        dist: A list of distance from V_source
    """
    edges_count = len(edges)
    dist = [inf] * edges_count
    dist[source] = 0
    undetermined = edges_count - 1  # V_0 is determined in 1-idx graph
    queue = [(0, source)]
    while queue:
        cost, v = heappop(queue)
        if cost > dist[v]:
            continue
        for next_cost, u in edges[v]:
            if cost + next_cost < dist[u]:
                dist[u] = cost + next_cost
                heappush(queue, (dist[u], u))
        undetermined -= 1
        if not undetermined:
            break
    return dist  # There may be no path from V_source to some vertices.

def main():
    N, M, R, *RABC = map(int, open(0).read().split())
    visit, ABC = RABC[:R], RABC[R:]
    edges = [[] for _ in range(N + 1)]
    for v, u, cost in zip(*[iter(ABC)] * 3):
        edges[v].append((cost, u)), edges[u].append((cost, v))
    dist = {v: dijkstra(v, edges) for v in visit}
    ans = inf
    for perm in permutations(visit):
        cur = sum(dist[v][u] for v, u in zip(perm, perm[1:]))
        ans = min(ans, cur)
    print(ans)


if __name__ == "__main__":
    main()