You are given a permutation p_1, p_2, ... , p_n (an array where each integer from 1 to n appears exactly once). The weight of the i-th element of this permutation is a_i.

At first, you separate your permutation into two non-empty sets — prefix and suffix. More formally, the first set contains elements p_1, p_2, ... , p_k, the second — p_{k+1}, p_{k+2}, ... , p_n, where 1 ≤ k < n.

After that, you may move elements between sets. The operation you are allowed to do is to choose some element of the first set and move it to the second set, or vice versa (move from the second set to the first). You have to pay a_i dollars to move the element p_i.

Your goal is to make it so that each element of the first set is less than each element of the second set. Note that if one of the sets is empty, this condition is met.

For example, if p = [3, 1, 2] and a = [7, 1, 4], then the optimal strategy is: separate p into two parts [3, 1] and [2] and then move the 2-element into first set (it costs 4). And if p = [3, 5, 1, 6, 2, 4], a = [9, 1, 9, 9, 1, 9], then the optimal strategy is: separate p into two parts [3, 5, 1] and [6, 2, 4], and then move the 2-element into first set (it costs 1), and 5-element into second set (it also costs 1).

Calculate the minimum number of dollars you have to spend.

Input

The first line contains one integer n (2 ≤ n ≤ 2 ⋅ 10^5) — the length of permutation.

The second line contains n integers p_1, p_2, ... , p_n (1 ≤ p_i ≤ n). It's guaranteed that this sequence contains each element from 1 to n exactly once.

The third line contains n integers a_1, a_2, ... , a_n (1 ≤ a_i ≤ 10^9).

Output

Print one integer — the minimum number of dollars you have to spend.

Examples

Input


3
3 1 2
7 1 4


Output


4


Input


4
2 4 1 3
5 9 8 3


Output


3


Input


6
3 5 1 6 2 4
9 1 9 9 1 9


Output


2
import sys
range = xrange
input = raw_input

class LazySegmentTree:
    def __init__(self, data, default=-float('inf'), func=max):
        """initialize the lazy segment tree with data"""
        self._default = default
        self._func = func

        self._len = len(data)
        self._size = _size = 1 << (self._len - 1).bit_length()
        self._lazy = [0.0] * (2 * _size)

        self.data = [default] * (2 * _size)
        self.data[_size:_size + self._len] = data
        for i in reversed(range(_size)):
            self.data[i] = func(self.data[i + i], self.data[i + i + 1])

    def __len__(self):
        return self._len

    def _push(self, idx):
        """push query on idx to its children"""
        # Let the children know of the queries
        q, self._lazy[idx] = self._lazy[idx], 0.0

        self._lazy[2 * idx] += q
        self._lazy[2 * idx + 1] += q
        self.data[2 * idx] += q
        self.data[2 * idx + 1] += q

    def _update(self, idx):
        """updates the node idx to know of all queries applied to it via its ancestors"""
        for i in reversed(range(1, idx.bit_length())):
            self._push(idx >> i)

    def _build(self, idx):
        """make the changes to idx be known to its ancestors"""
        idx >>= 1
        while idx:
            self.data[idx] = self._func(self.data[2 * idx], self.data[2 * idx + 1]) + self._lazy[idx]
            idx >>= 1

    def add(self, start, stop, value):
        """lazily add value to [start, stop)"""
        if start >= stop: return

        start = start_copy = start + self._size
        stop = stop_copy = stop + self._size
        while start < stop:
            if start & 1:
                self._lazy[start] += value
                self.data[start] += value
                start += 1
            if stop & 1:
                stop -= 1
                self._lazy[stop] += value
                self.data[stop] += value
            start >>= 1
            stop >>= 1

        # Tell all nodes above of the updated area of the updates
        self._build(start_copy)
        self._build(stop_copy - 1)

    def query(self, start, stop, default=-float('inf')):
        """func of data[start, stop)"""
        start += self._size
        stop += self._size

        # Apply all the lazily stored queries
        self._update(start)
        self._update(stop - 1)

        res = default
        while start < stop:
            if start & 1:
                res = self._func(res, self.data[start])
                start += 1
            if stop & 1:
                stop -= 1
                res = self._func(res, self.data[stop])
            start >>= 1
            stop >>= 1
        return res


inp = [int(x) for x in sys.stdin.read().split()]; ii = 0

n = inp[ii]; ii += 1
P = [p - 1 for p in inp[ii: ii + n]]; ii += n
A = inp[ii: ii + n]; ii += n
order = [0]*n
for i in range(n):
    order[P[i]] = i

best = A[0]

tmp = [0.0]*(n - 1)
cumval = 0.0
for i in range(n - 1):
    cumval += A[i]
    tmp[i] = -cumval

splitter = LazySegmentTree(tmp)
base = 0.0

for k in range(n):
    i = order[k]
    a = A[i]
    base += a
    splitter.add(i, n - 1, 2 * a + 0.0)
    mini = -splitter.query(0, n - 1) + base 
    if mini < best:
        best = mini
print int(best)
