Bessie has a simple undirected graph with vertices labeled $1\dots N$ ($2\le N\le 750$). She generates a depth-first search (DFS) order of the graph by calling the function $\texttt{dfs}(1)$, defined by the following C++ code. Each adjacency list ($\texttt{adj}[i]$ for all $1\le i\le N$) may be permuted arbitrarily before starting the depth first search, so a graph can have multiple possible DFS orders.

vector<bool> vis(N + 1);
vector<vector<int>> adj(N + 1);  // adjacency list
vector<int> dfs_order;

void dfs(int x) {
    if (vis[x]) return;
    vis[x] = true;
    dfs_order.push_back(x);
    for (int y : adj[x]) dfs(y);
}

You are given the initial state of the graph as well as the cost to change the state of each edge. Specifically, for every pair of vertices $(i,j)$ satisfying $1\le i < j\le N$, you are given an integer $a_{i,j}$ ($0<|a_{i,j}|\le 1000$) such that If $a_{i,j}>0$, edge $(i,j)$ is not currently in the graph, and can be added for cost $a_{i,j}$.If $a_{i,j}< 0$, edge $(i,j)$ is currently in the graph, and can be removed for cost $-a_{i,j}$. Determine the minimum total cost to change the graph so that $[1,2\dots,N]$ is a possible DFS ordering.

Input Format

Then $N-1$ lines follow. The $j-1$th line contains $a_{1,j}, a_{2,j}, \dots, a_{j-1,j}$ separated by spaces.

Output Format

The minimum cost to change the graph so that $[1,2,\dots, N]$ is a possible DFS ordering.

Sample Data

Sample Input

4
1
2 3
40 6 11

Sample Output

10

Sample Input 2

5
-1
10 -2
10 -7 10
-6 -4 -5 10

Sample Output 2

5

Sample Input 3

4
-1
-2 300
4 -5 6

Sample Output 3

9

Sample Explanation

Initially, the graph contains edges $(1,2),(1,3),(2,4)$. Edge $(2,4)$ can be removed and edge $(1,4)$ can be added for a total cost of $5+4=9$.

Constraints

• Inputs 4-9: All $a_{i,j}>0$
• Inputs 10-16: $N\le 50$
• Inputs 17-23: No additional constraints.