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.
import sys, os, io
def rs(): return sys.stdin.readline().rstrip()
def ri(): return int(sys.stdin.readline())
def ria(): return list(map(int, sys.stdin.readline().split()))
def ws(s): sys.stdout.write(s + '\n')
def wi(n): sys.stdout.write(str(n) + '\n')
def wia(a): sys.stdout.write(' '.join([str(x) for x in a]) + '\n')
import math,datetime,functools,itertools,operator,bisect,fractions,statistics
from collections import deque,defaultdict,OrderedDict,Counter
from fractions import Fraction
from decimal import Decimal
from sys import stdout
from heapq import heappush, heappop, heapify ,_heapify_max,_heappop_max,nsmallest,nlargest


def main():
    # mod=1000000007
    # InverseofNumber(mod)
    # InverseofFactorial(mod)
    # factorial(mod)
    starttime=datetime.datetime.now()
    if(os.path.exists('input.txt')):
        sys.stdin = open("input.txt","r")
        sys.stdout = open("output.txt","w")
    

    
    tc=1
    for _ in range(tc):
        n=ri()
        a=ria()
        t=ria()
        z=[]
        for i in range(n):
            z.append([a[i],t[i]])
        z=(sorted(z, key=lambda x: (x[0], -x[1])))
        # print(z)
        count=Counter(a)
        nottaken=[]
        heapify(nottaken)
        i=0
        ans=0
        k=sorted(count.keys())
        # print(k)
        prev=k[0]
        t=0
        ct=0
        for i in range(len(k)):
            ln=len(nottaken)
            if nottaken:
                for j in range(min(k[i]-prev-1,ln)):
                    g=heappop(nottaken)
                    ans+=-g[0]*(prev+j+1-g[1])
            for j in range(count[k[i]]):
                heappush(nottaken,[-z[ct][1],z[ct][0]])
                ct+=1
            g=heappop(nottaken)
            ans+=-g[0]*(k[i]-g[1])
            prev=k[i]
        if nottaken:
            ln=len(nottaken)
            for j in range(ln):
                g=heappop(nottaken)
                ans+=-g[0]*(prev+j+1-g[1])
        print(ans)
            

        # print(ans) 
        
        
            
            
            
            
            
        
        
                    
            
        
        
                    
                
        
        
            
                
        

            
        

               
            
        
              
                
        
        
            
        
        
            
            
        
        
                
                
                
                
            
        
        
            
           
        
            
                    

                                 
                
                
        

                
        
        
        
            
        
        
                
            
        
        
                    
        
        
        
            
                    
            

                
            
            
                
            
                
            
            
            
            
                
            
        
        
        
        
        
        
        
                    
        
        
        
                
                
        
            
            
            
        

                    
        
                
        
        
                        
        
                            

        

                
            
        

                
            
                    
                
                
        
        
         
        

                        
                            
                
        
                            
                    

                
            
        
                
            
                
        
        
        
                             
        
            
        
        
            
                        
                        
                    
            
        
        
        
        
        
                        
       

        
                           
        
        
        
            
        
        
        
                      

      
                            
            
        
        
            
            
            
            
            
        
        
        
            
        
        
        
            
        
        
        
        
            
            
        
        
        
        
        
        
        
                
                
                    
        
        
            
            
        
                
            
            
        
        
        
        
                
        
            
        
                
        
        
            
        
       
            

                
        
        
        
   
            
        
        
        
        
            
        
                
        
        
        
            
            
        
        
            
        
        

        
        
            
        
        
            
        
                        

        
        
            
     
        
        
            
        
        
                
            
        
        
        
                
            
        

            
             
        
            
        
        
        
                
        
            
        
        
        
        
                
        
        
            
        
        
        
        
                
        
    #<--Solving Area Ends
    endtime=datetime.datetime.now()
    time=(endtime-starttime).total_seconds()*1000
    if(os.path.exists('input.txt')):
        print("Time:",time,"ms")  
    
                
class FastReader(io.IOBase):
    newlines = 0

    def __init__(self, fd, chunk_size=1024 * 8):
        self._fd = fd
        self._chunk_size = chunk_size
        self.buffer = io.BytesIO()

    def read(self):
        while True:
            b = os.read(self._fd, max(os.fstat(self._fd).st_size, self._chunk_size))
            if not b:
                break
            ptr = self.buffer.tell()
            self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr)
        self.newlines = 0
        return self.buffer.read()

    def readline(self, size=-1):
        while self.newlines == 0:
            b = os.read(self._fd, max(os.fstat(self._fd).st_size, self._chunk_size if size == -1 else size))
            self.newlines = b.count(b"\n") + (not b)
            ptr = self.buffer.tell()
            self.buffer.seek(0, 2), self.buffer.write(b), self.buffer.seek(ptr)
        self.newlines -= 1
        return self.buffer.readline()


class FastWriter(io.IOBase):

    def __init__(self, fd):
        self._fd = fd
        self.buffer = io.BytesIO()
        self.write = self.buffer.write

    def flush(self):
        os.write(self._fd, self.buffer.getvalue())
        self.buffer.truncate(0), self.buffer.seek(0)


class FastStdin(io.IOBase):
    def __init__(self, fd=0):
        self.buffer = FastReader(fd)
        self.read = lambda: self.buffer.read().decode("ascii")
        self.readline = lambda: self.buffer.readline().decode("ascii")


class FastStdout(io.IOBase):
    def __init__(self, fd=1):
        self.buffer = FastWriter(fd)
        self.write = lambda s: self.buffer.write(s.encode("ascii"))
        self.flush = self.buffer.flush


if __name__ == '__main__':
    sys.stdin = FastStdin()
    sys.stdout = FastStdout()
    main()
    