We will define the median of a sequence b of length M, as follows:

* Let b' be the sequence obtained by sorting b in non-decreasing order. Then, the value of the (M / 2 + 1)-th element of b' is the median of b. Here, / is integer division, rounding down.



For example, the median of (10, 30, 20) is 20; the median of (10, 30, 20, 40) is 30; the median of (10, 10, 10, 20, 30) is 10.

Snuke comes up with the following problem.

You are given a sequence a of length N. For each pair (l, r) (1 \leq l \leq r \leq N), let m_{l, r} be the median of the contiguous subsequence (a_l, a_{l + 1}, ..., a_r) of a. We will list m_{l, r} for all pairs (l, r) to create a new sequence m. Find the median of m.

Constraints

* 1 \leq N \leq 10^5
* a_i is an integer.
* 1 \leq a_i \leq 10^9

Input

Input is given from Standard Input in the following format:


N
a_1 a_2 ... a_N


Output

Print the median of m.

Examples

Input

3
10 30 20


Output

30


Input

1
10


Output

10


Input

10
5 9 5 9 8 9 3 5 4 3


Output

8
from collections import defaultdict, deque, Counter
from heapq import heappush, heappop, heapify
import math
import bisect
import random
from itertools import permutations, accumulate, combinations, product
import sys
import string
from bisect import bisect_left, bisect_right
from math import factorial, ceil, floor
from functools import reduce


sys.setrecursionlimit(2147483647)
INF = 10 ** 18
def LI(): return list(map(int, sys.stdin.buffer.readline().split()))
def I(): return int(sys.stdin.buffer.readline())
def LS(): return sys.stdin.buffer.readline().rstrip().decode('utf-8').split()
def S(): return sys.stdin.buffer.readline().rstrip().decode('utf-8')
def IR(n): return [I() for i in range(n)]
def LIR(n): return [LI() for i in range(n)]
def SR(n): return [S() for i in range(n)]
def LSR(n): return [LS() for i in range(n)]
def SRL(n): return [list(S()) for i in range(n)]
def MSRL(n): return [[int(j) for j in list(S())] for i in range(n)]
mod = 1000000007


class BIT:
    def __init__(self, size):
        self.bit = [0] * size
        self.size = size

    def add(self, i, w):
        x = i + 1
        while x <= self.size:
            self.bit[x - 1] += w
            x += x & -x
        return

    def sum(self, i):
        res = 0
        x = i + 1
        while x:
            res += self.bit[x - 1]
            x -= x & -x
        return res



n = I()
A = LI()



def D(L):
    n = len(L)
    bit = BIT(2 * n + 1)
    ans = 0
    for i in range(n - 1, -1, -1):
        bit.add(L[i] + n, 1)
        ans += bit.sum(L[i] + n - 1)
    return ans



ALL = (n + 1) * n // 2
A2 = sorted(A)
# 求めるのは、1より-1の方が多かった区間の数
ng, ok = n, 0
while ng > ok + 1:
    mid = (ok + ng) // 2
    L = [0] + list(accumulate([1 if i >= A2[mid] else -1 for i in A]))
    if D(L) >= ALL // 2 + 1:
        ng = mid
    else:
        ok = mid


print(A2[ok])