Mitya has a rooted tree with n vertices indexed from 1 to n, where the root has index 1. Each vertex v initially had an integer number a_v ≥ 0 written on it. For every vertex v Mitya has computed s_v: the sum of all values written on the vertices on the path from vertex v to the root, as well as h_v — the depth of vertex v, which denotes the number of vertices on the path from vertex v to the root. Clearly, s_1=a_1 and h_1=1.

Then Mitya erased all numbers a_v, and by accident he also erased all values s_v for vertices with even depth (vertices with even h_v). Your task is to restore the values a_v for every vertex, or determine that Mitya made a mistake. In case there are multiple ways to restore the values, you're required to find one which minimizes the total sum of values a_v for all vertices in the tree.

Input

The first line contains one integer n — the number of vertices in the tree (2 ≤ n ≤ 10^5). The following line contains integers p_2, p_3, ... p_n, where p_i stands for the parent of vertex with index i in the tree (1 ≤ p_i < i). The last line contains integer values s_1, s_2, ..., s_n (-1 ≤ s_v ≤ 10^9), where erased values are replaced by -1.

Output

Output one integer — the minimum total sum of all values a_v in the original tree, or -1 if such tree does not exist.

Examples

Input


5
1 1 1 1
1 -1 -1 -1 -1


Output


1


Input


5
1 2 3 1
1 -1 2 -1 -1


Output


2


Input


3
1 2
2 -1 1


Output


-1
import sys
import math,bisect
sys.setrecursionlimit(10 ** 6)
from itertools import groupby,accumulate
from heapq import heapify,heappop,heappush
from collections import deque,Counter,defaultdict
def I(): return int(sys.stdin.readline())
def neo(): return map(int, sys.stdin.readline().split())
def Neo(): return list(map(int, sys.stdin.readline().split()))
n = I()
parents = [0] + Neo()
values = Neo()
 
sv = values[:]
 
for i in range(1,n):
    if values[i] != -1:
        par = parents[i] - 1
        if sv[par] == -1:
            sv[par] = values[i]
        else:
            sv[par] = min(sv[par], values[i])
 
out = sv[0]
works = True
 
for i in range(1,n):
    if sv[i] != -1:
        a_val = sv[i] - sv[parents[i] - 1]
        if a_val >= 0:
            out += a_val
        else:
            works = False
            break
 
if works:
    print(out)
else:
    print(-1)