#include <bits/stdc++.h>
using namespace std;
mt19937 rnd(chrono::high_resolution_clock::now().time_since_epoch().count());
int main() {
  ios::sync_with_stdio(0);
  cin.tie(0);
  int n;
  cin >> n;
  vector<pair<int, int> > a(n);
  for (int i = 0; i < n; i++) {
    cin >> a[i].first;
  }
  for (int i = 0; i < n; i++) {
    cin >> a[i].second;
  }
  sort(a.begin(), a.end());
  vector<int> s(n);
  for (int i = 0; i < n; i++) {
    s[i] = a[i].first;
    if (i != 0) {
      s[i] = max(s[i], s[i - 1] + 1);
    }
  }
  sort(a.begin(), a.end(), [](pair<int, int> x, pair<int, int> y) {
    if (x.second == y.second) {
      return x.first < y.first;
    }
    return x.second < y.second;
  });
  multiset<int> t;
  for (auto to : s) t.insert(to);
  long long ans = 0;
  for (int i = n - 1; i >= 0; i--) {
    auto it = t.lower_bound(a[i].first);
    ans += (*it - a[i].first) * (long long)a[i].second;
    t.erase(it);
  }
  cout << ans << '\n';
  return 0;
}

### Prompt

Create a solution in CPP for the following problem:

VK news recommendation system daily selects interesting publications of one of n disjoint categories for each user. Each publication belongs to exactly one category. For each category i batch algorithm selects a_i publications.

The latest A/B test suggests that users are reading recommended publications more actively if each category has a different number of publications within daily recommendations. The targeted algorithm can find a single interesting publication of i-th category within t_i seconds. 

What is the minimum total time necessary to add publications to the result of batch algorithm execution, so all categories have a different number of publications? You can't remove publications recommended by the batch algorithm.

Input

The first line of input consists of single integer n — the number of news categories (1 ≤ n ≤ 200 000).

The second line of input consists of n integers a_i — the number of publications of i-th category selected by the batch algorithm (1 ≤ a_i ≤ 10^9).

The third line of input consists of n integers t_i — time it takes for targeted algorithm to find one new publication of category i (1 ≤ t_i ≤ 10^5).

Output

Print one integer — the minimal required time for the targeted algorithm to get rid of categories with the same size.

Examples

Input


5
3 7 9 7 8
5 2 5 7 5


Output


6


Input


5
1 2 3 4 5
1 1 1 1 1


Output


0

Note

In the first example, it is possible to find three publications of the second type, which will take 6 seconds.

In the second example, all news categories contain a different number of publications.

### Response

```cpp
#include <bits/stdc++.h>
using namespace std;
mt19937 rnd(chrono::high_resolution_clock::now().time_since_epoch().count());
int main() {
  ios::sync_with_stdio(0);
  cin.tie(0);
  int n;
  cin >> n;
  vector<pair<int, int> > a(n);
  for (int i = 0; i < n; i++) {
    cin >> a[i].first;
  }
  for (int i = 0; i < n; i++) {
    cin >> a[i].second;
  }
  sort(a.begin(), a.end());
  vector<int> s(n);
  for (int i = 0; i < n; i++) {
    s[i] = a[i].first;
    if (i != 0) {
      s[i] = max(s[i], s[i - 1] + 1);
    }
  }
  sort(a.begin(), a.end(), [](pair<int, int> x, pair<int, int> y) {
    if (x.second == y.second) {
      return x.first < y.first;
    }
    return x.second < y.second;
  });
  multiset<int> t;
  for (auto to : s) t.insert(to);
  long long ans = 0;
  for (int i = n - 1; i >= 0; i--) {
    auto it = t.lower_bound(a[i].first);
    ans += (*it - a[i].first) * (long long)a[i].second;
    t.erase(it);
  }
  cout << ans << '\n';
  return 0;
}

```