Problem:
Exhaustive Search

Write a program which reads a sequence A of n elements and an integer M, and outputs "yes" if you can make M by adding elements in A, otherwise "no". You can use an element only once.

You are given the sequence A and q questions where each question contains Mi.

Input

In the first line n is given. In the second line, n integers are given. In the third line q is given. Then, in the fourth line, q integers (Mi) are given.

Output

For each question Mi, print yes or no.

Constraints

n ≤ 20

q ≤ 200

1 ≤ elements in A ≤ 2000

1 ≤ Mi ≤ 2000

Sample Input 1

5
1 5 7 10 21
8
2 4 17 8 22 21 100 35

Sample Output 1

no
no
yes
yes
yes
yes
no
no

Notes

You can solve this problem by a Burte Force approach. Suppose solve(p, t) is a function which checkes whether you can make t by selecting elements after p-th element (inclusive). Then you can recursively call the following functions:

solve(0, M)

solve(1, M-{sum created from elements before 1st element})

solve(2, M-{sum created from elements before 2nd element})

...

The recursive function has two choices: you selected p-th element and not. So, you can check solve(p+1, t-A[p]) and solve(p+1, t) in solve(p, t) to check the all combinations.

For example, the following figure shows that 8 can be made by A[0] + A[2].

Solution in Python3 (judge verdict: Runtime Error)

#coding:utf-8

n = int(input())
A = list(map(int,input().split()))
q = int(input())
mList = list(map(int,input().split()))

dp = [[False for i in range(2001)] for j in range(21)]

def solve(i,m):
    if dp[i][m]:
        return dp[i][m]
    if m < 0:
        return

    if m == 0:
        dp[i][m] = True
    elif i >= n:
        dp[i][m] = False
    elif solve(i+1,m):
        dp[i][m] = True
    elif solve(i+1,m-A[i]):
        dp[i][m] = True
    else:
        dp[i][m] = False

    return dp[i][m]

for m in mList:
    a = solve(0,m)
    if a:
        print("yes")
    else:
        print("no")