// A C++ program for Dijkstra's single source shortest path algorithm.
// The program is for adjacency matrix representation of the graph


#include <limits.h>
#include<iostream>
using namespace std;
long long res[16];
// Number of vertices in the graph
#define V 10

// A utility function to find the vertex with minimum distance value, from
// the set of vertices not yet included in shortest path tree
int minDistance(int dist[], bool sptSet[])
{
   // Initialize min value
   int min = INT_MAX, min_index;

   for (int v = 0; v < V; v++)
     if (sptSet[v] == false && dist[v] <= min)
         min = dist[v], min_index = v;

   return min_index;
}

// A utility function to print the constructed distance array
int printSolution(int dist[], int n)
{
//   printf("Vertex   Distance from Source\n");
   for (int i = 0; i < V; i++){
      cout<< i<<" " <<dist[i]<<endl;
   }

}

// Funtion that implements Dijkstra's single source shortest path algorithm
// for a graph represented using adjacency matrix representation
void dijkstra(int graph[V][V], int src)
{
     int dist[V];     // The output array.  dist[i] will hold the shortest
                      // distance from src to i

     bool sptSet[V]; // sptSet[i] will true if vertex i is included in shortest
                     // path tree or shortest distance from src to i is finalized

     // Initialize all distances as INFINITE and stpSet[] as false
     for (int i = 0; i < V; i++)
        dist[i] = INT_MAX, sptSet[i] = false;

     // Distance of source vertex from itself is always 0
     dist[src] = 0;

     // Find shortest path for all vertices
     for (int count = 0; count < V-1; count++)
     {
       // Pick the minimum distance vertex from the set of vertices not
       // yet processed. u is always equal to src in first iteration.
       int u = minDistance(dist, sptSet);

       // Mark the picked vertex as processed
       sptSet[u] = true;

       // Update dist value of the adjacent vertices of the picked vertex.
       for (int v = 0; v < V; v++)

         // Update dist[v] only if is not in sptSet, there is an edge from
         // u to v, and total weight of path from src to  v through u is
         // smaller than current value of dist[v]
         if (!sptSet[v] && graph[u][v] && dist[u] != INT_MAX
                                       && dist[u]+graph[u][v] < dist[v])
            dist[v] = dist[u] + graph[u][v];
     }

     // print the constructed distance array
     res[src]=dist[1];
    // printSolution(dist, V);
}

// driver program to test above function
int main()
{
    cin.tie(0);
    ios::sync_with_stdio(false);
   /* Let us create the example graph discussed above */
   int graph[V][V] ;/*= {{0, 4, 0, 0, 0, 0, 0, 8, 0},
                      {4, 0, 8, 0, 0, 0, 0, 11, 0},
                      {0, 8, 0, 7, 0, 4, 0, 0, 2},
                      {0, 0, 7, 0, 9, 14, 0, 0, 0},
                      {0, 0, 0, 9, 0, 10, 0, 0, 0},
                      {0, 0, 4, 14, 10, 0, 2, 0, 0},
                      {0, 0, 0, 0, 0, 2, 0, 1, 6},
                      {8, 11, 0, 0, 0, 0, 1, 0, 7},
                      {0, 0, 2, 0, 0, 0, 6, 7, 0}
                     };*/
                     int h,w;
    cin>>h>>w;
    for(int i=0;i<V;i++)
    {
        //cout<<"fsd "<<i<<endl;
        for(int j=0;j<V;j++)
        {
           // cout<<i<<" "<<j<<":";
            cin>>graph[i][j];
        }
    }
    for(int i=0;i<=9;i++){
    dijkstra(graph, i);
    //cout<<res[i]<<endl;
    }
    //cout<<"daj"<<endl;
    long long otg=0;
    for(int i=0;i<h;i++)
    {
        for(int j=0;j<w;j++)
        {
            int a;
            cin>>a;
            if(a!=-1)
            {
                otg+=res[a];
            }
        }
    }
    cout<<otg<<endl;
    return 0;
}


Measured memory_bytes: 256