Write a program which manipulates a sequence A = {a1, a2, . . . , an} with the following operations:

* add(s, t, x): add x to as, as+1, ..., at.
* get(i): output the value of ai.



Note that the initial values of ai (i = 1, 2, . . . , n) are 0.

Constraints

* 1 ≤ n ≤ 100000
* 1 ≤ q ≤ 100000
* 1 ≤ s ≤ t ≤ n
* 1 ≤ i ≤ n
* 0 ≤ x ≤ 1000

Input


n q
query1
query2
:
queryq


In the first line, n (the number of elements in A) and q (the number of queries) are given. Then, ith query queryi is given in the following format:


0 s t x


or


1 t


The first digit represents the type of the query. '0' denotes add(s, t, x) and '1' denotes get(i).

Output

For each get operation, print the value.

Examples

Input

3 5
0 1 2 1
0 2 3 2
0 3 3 3
1 2
1 3


Output

3
5


Input

4 3
1 2
0 1 4 1
1 2


Output

0
1
class LazySegTree:
    INF = 0
    def __init__(self,n_):
        self.n_ = n_
        self.n = 1
        while self.n < n_: self.n*=2
        self.lazy = [self.INF]*(2*self.n-1)

    def update(self,a,b,k,x,l,r):
        if r<=a or b<=l :return
        if a<=l and r<=b:
            self.lazy[k] += x
            return
        self.update(a,b,k*2+1,x,l,(l+r)//2)
        self.update(a,b,k*2+2,x,(l+r)//2,r)

    def Update(self,a,b,x):
        return self.update(a,b,0,x,0,self.n)

    def search(self,k,l,r):
        k += self.n-1
        res = self.INF
        while 0<=k:
            res += self.lazy[k]
            k = (k-1)//2
        return res

    def Search(self,k):
        return self.search(k,0,self.n)

def main():
    n,m = map(int,input().split())
    lst = LazySegTree(n)
    for _ in range(m):
        q = list(map(int,input().split()))
        if q[0] == 0:
            lst.Update(q[1]-1,q[2],q[3])
        else        :
            print(lst.Search(q[1]-1))

if __name__ == '__main__':
    main()


