The brave Knight came to the King and asked permission to marry the princess. The King knew that the Knight was brave, but he also wanted to know if he was smart enough. So he asked him to solve the following task.

There is a permutation p_i of numbers from 1 to 2n. You can make two types of operations. 

  1. Swap p_1 and p_2, p_3 and p_4, ..., p_{2n-1} and p_{2n}. 
  2. Swap p_1 and p_{n+1}, p_2 and p_{n+2}, ..., p_{n} and p_{2n}. 



The task is to find the minimal number of operations required to sort the given permutation.

The Knight was not that smart actually, but quite charming, so the princess asks you to help him to solve the King's task.

Input

The first line contains the integer n (1≤ n≤ 1000). The second line contains 2n integers p_i — the permutation of numbers from 1 to 2n.

Output

Print one integer — the minimal number of operations required to sort the permutation. If it is impossible to sort the permutation using these operations, print -1.

Examples

Input


3
6 3 2 5 4 1


Output


3


Input


2
3 4 2 1


Output


-1


Input


4
1 2 3 4 5 6 7 8


Output


0

Note

In the first example, you can sort the permutation in three operations: 

  1. Make operation 1: 3, 6, 5, 2, 1, 4. 
  2. Make operation 2: 2, 1, 4, 3, 6, 5. 
  3. Make operation 1: 1, 2, 3, 4, 5, 6. 
import sys
import math
import heapq
import bisect
from collections import Counter
from collections import defaultdict
from io import BytesIO, IOBase
import string


class FastIO(IOBase):
    newlines = 0

    def __init__(self, file):
        import os
        self.os = os
        self._fd = file.fileno()
        self.buffer = BytesIO()
        self.writable = "x" in file.mode or "r" not in file.mode
        self.write = self.buffer.write if self.writable else None
        self.BUFSIZE = 8192

    def read(self):
        while True:
            b = self.os.read(self._fd, max(self.os.fstat(self._fd).st_size, self.BUFSIZE))
            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):
        while self.newlines == 0:
            b = self.os.read(self._fd, max(self.os.fstat(self._fd).st_size, self.BUFSIZE))
            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()

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


class IOWrapper(IOBase):
    def __init__(self, file):
        self.buffer = FastIO(file)
        self.flush = self.buffer.flush
        self.writable = self.buffer.writable
        self.write = lambda s: self.buffer.write(s.encode("ascii"))
        self.read = lambda: self.buffer.read().decode("ascii")
        self.readline = lambda: self.buffer.readline().decode("ascii")


sys.stdin, sys.stdout = IOWrapper(sys.stdin), IOWrapper(sys.stdout)
input = lambda: sys.stdin.readline().rstrip("\r\n")


def get_int():
    return int(input())


def get_ints():
    return list(map(int, input().split(' ')))


def get_int_grid(n):
    return [get_ints() for _ in range(n)]


def get_str():
    return input().strip()


def get_strs():
    return get_str().split(' ')


def flat_list(arr):
    return [item for subarr in arr for item in subarr]


def yes_no(b):
    if b:
        return "YES"
    else:
        return "NO"


def binary_search(good, left, right, delta=1, right_true=False):
    """
    Performs binary search
    ----------
    Parameters
    ----------
    :param good: Function used to perform the binary search
    :param left: Starting value of left limit
    :param right: Starting value of the right limit
    :param delta: Margin of error, defaults value of 1 for integer binary search
    :param right_true: Boolean, for whether the right limit is the true invariant
    :return: Returns the most extremal value interval [left, right] which is good function evaluates to True,
            alternatively returns False if no such value found
    """

    limits = [left, right]
    while limits[1] - limits[0] > delta:
        if delta == 1:
            mid = sum(limits) // 2
        else:
            mid = sum(limits) / 2
        if good(mid):
            limits[int(right_true)] = mid
        else:
            limits[int(~right_true)] = mid
    if good(limits[int(right_true)]):
        return limits[int(right_true)]
    else:
        return False


def prefix_sums(a):
    p = [0]
    for x in a:
        p.append(p[-1] + x)
    return p


def solve_k():
    n = get_int()
    p = get_ints()
    p_sorted = [i + 1 for i in range(2 * n)]

    best_steps = float('inf')

    for rep in range(2):
        q = p[:]

        def swap1(q):
            for i in range(n):
                q[2 * i], q[2 * i + 1] = q[2 * i + 1], q[2 * i]
            return q

        def swap2(q):
            for i in range(n):
                q[i], q[n + i] = q[n + i], q[i]
            return q

        swaps = [swap1, swap2]

        cnt = 0

        while True:
            if q == p_sorted:
                best_steps = min(best_steps, cnt)
                break
            q = swaps[(rep + cnt) % 2](q)
            cnt += 1
            if q == p:
                break

    if best_steps == float('inf'):
        return -1
    else:
        return best_steps


print(solve_k())
