You are given a weighted graph with $N$ nodes and $M$ edges. Some of the nodes are marked as special nodes. Your task is to find the shortest pairwise distance between any two different special nodes.

-----Input-----
- The first line of the input contains three space-separated integers $N$, $M$ and $K$ denoting the number of nodes, the number of edges, and the number of special nodes. 
- The next line contains $K$ space-separated distinct integers $A_{1}$, $A_{2}$, $\ldots$, $A_{K}$, denoting the special nodes.
- The next $M$ lines each contain three space-separated integers - $X$, $Y$, $Z$, denoting an edge connecting the nodes $X$ and $Y$, with weight $Z$.

-----Output-----
Output the shortest pairwise distance between any two different special nodes.

-----Constraints-----
- The given graph is connected.
- The given graph doesn't contain self loops and multiple edges.
- $1 \leq A_{i} \leq N$
- $1 \leq Z_{j} \leq 10^{4}$
- $1 \leq X_{j}, Y_{j} \leq N$

-----Subtasks-----
Subtask #1 (20 points): 
- $2 \leq N \leq 300$
- $N-1 \leq M \leq \frac{N \cdot (N-1)}{2}$
- $2 \leq K \leq N$
Subtask #2 (25 points):
- $2 \leq N \leq 10^5$
- $N-1 \leq M \leq 10^5$
- $2 \leq K \leq 10$
Subtask #3 (55 points):
- $2 \leq N \leq 10^5$
- $N-1 \leq M \leq 3 \cdot 10^5$
- $2 \leq K \leq 10^4$

-----Example Input-----
5 5 3
1 3 5
1 2 3
2 3 4
3 4 1
4 5 8
1 5 19

-----Example Output-----
7

-----Explanation-----
Nodes $1$, $3$, and $5$ are special nodes. Shortest distance between nodes $1$ and $3$ is $7$, and that between nodes $3$ and $5$ is $9$. Shortest distance between nodes $1$ and $5$ is $16$. Minimum of these distances is $7$. Hence answer is $7$.

Starter code:

Solutions:
n,m,lk = list(map(int,input().split()))
sp = [int(i)-1 for i in input().split()]
dp = []
for i in range(n):
 dp += [[0]*n]
for i in range(n):
 for j in range(n):
  if(i!=j):
   dp[i][j]=10**18
for _ in range(m):
 x,y,z = list(map(int,input().split()))
 dp[x-1][y-1]=z
 dp[y-1][x-1]=z
for k in range(n):
 for i in range(n):
  for j in range(n):
   if(dp[i][j]>dp[i][k]+dp[k][j]):
    dp[i][j]=dp[i][k]+dp[k][j]
dist = 10**18
for i in range(lk):
 for j in range(i+1,lk):
  dist = min(dist,dp[sp[i]][sp[j]])
print(dist)