# Original solution
def dijkstra(graph,src):
    if graph is None:
        return None
    nodes = [i for i in range(len(graph))]
    visited=[]
    if src in nodes:
        visited.append(src)
        nodes.remove(src)
    else:
        return None
    distance={src:0}
    for i in nodes:
        distance[i]=int(graph[src][i])
    path={src:{src:[]}}
    k=pre=src
    while nodes:
        mid_distance=float('inf')
        for v in visited:
            for d in nodes:
                new_distance = int(graph[src][v])+int(graph[v][d])
                if new_distance < mid_distance:
                    mid_distance=new_distance
                    graph[src][d]=str(new_distance)
                    k=d
                    pre=v
        distance[k]=mid_distance
        path[src][k]=[i for i in path[src][pre]]
        path[src][k].append(k)
        visited.append(k)
        nodes.remove(k)
    return distance

if __name__=="__main__":
    sum = 0
    s = input().split(" ")
    x, y = s[0], s[1]
    c = [n for n in range(0,10)]
    matrix =[i for i in range(0,int(x))]*int(y)
    c[0] = list(input().split(" "))
    c[1] = list(input().split(" "))
    c[2] = list(input().split(" "))
    c[3] = list(input().split(" "))
    c[4] = list(input().split(" "))
    c[5] = list(input().split(" "))
    c[6] = list(input().split(" "))
    c[7] = list(input().split(" "))
    c[8] = list(input().split(" "))
    c[9] = list(input().split(" "))
    for i in range(0,int(x)):
        matrix[i] = input().split(" ")
        for j in range(0,int(y)):
            n = int(matrix[i][j])
            if n==-1:
                continue
            else:
                distance = dijkstra(c,n)
                sum = sum + int(distance[1])

    print(sum)





# Optimized solution
def dijkstra(graph,src):
    if graph is None:
        return None
    nodes = [i for i in range(len(graph))]
    visited=[]
    if src in nodes:
        visited.append(src)
        nodes.remove(src)
    else:
        return None
    distance={src:0}
    for i in nodes:
        distance[i]=int(graph[src][i])
    path={src:{src:[]}}
    k=pre=src
    while nodes:
        mid_distance=float('inf')
        for v in visited:
            for d in nodes:
                new_distance = int(graph[src][v])+int(graph[v][d])
                if new_distance < mid_distance:
                    mid_distance=new_distance
                    graph[src][d]=str(new_distance)
                    k=d
                    pre=v
        distance[k]=mid_distance
        path[src][k]=[i for i in path[src][pre]]
        path[src][k].append(k)
        visited.append(k)
        nodes.remove(k)
    return distance

if __name__=="__main__":
    sum = 0
    s = input().split(" ")
    x, y = s[0], s[1]
    c = [n for n in range(0,10)]
    d = []
    matrix =[i for i in range(0,int(x))]*int(y)
    c[0] = list(input().split(" "))
    c[1] = list(input().split(" "))
    c[2] = list(input().split(" "))
    c[3] = list(input().split(" "))
    c[4] = list(input().split(" "))
    c[5] = list(input().split(" "))
    c[6] = list(input().split(" "))
    c[7] = list(input().split(" "))
    c[8] = list(input().split(" "))
    c[9] = list(input().split(" "))
    for m in range(0,10):
        d.append(dijkstra(c,m))
    for i in range(0,int(x)):
        matrix[i] = input().split(" ")
        for j in range(0,int(y)):
            n = int(matrix[i][j])
            if n==-1:
                continue
            else:
                sum = sum + int(d[n][1])
    print(sum)