There are n kids, numbered from 1 to n, dancing in a circle around the Christmas tree. Let's enumerate them in a clockwise direction as p_1, p_2, ..., p_n (all these numbers are from 1 to n and are distinct, so p is a permutation). Let the next kid for a kid p_i be kid p_{i + 1} if i < n and p_1 otherwise. After the dance, each kid remembered two kids: the next kid (let's call him x) and the next kid for x. Each kid told you which kids he/she remembered: the kid i remembered kids a_{i, 1} and a_{i, 2}. However, the order of a_{i, 1} and a_{i, 2} can differ from their order in the circle.

<image> Example: 5 kids in a circle, p=[3, 2, 4, 1, 5] (or any cyclic shift). The information kids remembered is: a_{1,1}=3, a_{1,2}=5; a_{2,1}=1, a_{2,2}=4; a_{3,1}=2, a_{3,2}=4; a_{4,1}=1, a_{4,2}=5; a_{5,1}=2, a_{5,2}=3.

You have to restore the order of the kids in the circle using this information. If there are several answers, you may print any. It is guaranteed that at least one solution exists.

If you are Python programmer, consider using PyPy instead of Python when you submit your code.

Input

The first line of the input contains one integer n (3 ≤ n ≤ 2 ⋅ 10^5) — the number of the kids.

The next n lines contain 2 integers each. The i-th line contains two integers a_{i, 1} and a_{i, 2} (1 ≤ a_{i, 1}, a_{i, 2} ≤ n, a_{i, 1} ≠ a_{i, 2}) — the kids the i-th kid remembered, given in arbitrary order.

Output

Print n integers p_1, p_2, ..., p_n — permutation of integers from 1 to n, which corresponds to the order of kids in the circle. If there are several answers, you may print any (for example, it doesn't matter which kid is the first in the circle). It is guaranteed that at least one solution exists.

Examples

Input


5
3 5
1 4
2 4
1 5
2 3


Output


3 2 4 1 5 


Input


3
2 3
3 1
1 2


Output


3 1 2 
## necessary imports
import sys
input = sys.stdin.readline
#from math import ceil, floor, factorial;

# swap_array function
def swaparr(arr, a,b):
    temp = arr[a];
    arr[a] = arr[b];
    arr[b] = temp

## gcd function
def gcd(a,b):
    if b == 0:
        return a
    return gcd(b, a % b);

## nCr function efficient using Binomial Cofficient
def nCr(n, k): 
    if(k > n - k): 
        k = n - k 
    res = 1
    for i in range(k): 
        res = res * (n - i) 
        res = res / (i + 1) 
    return int(res) 

## upper bound function code -- such that e in a[:i] e < x;
def upper_bound(a, x, lo=0):
    hi = len(a)
    while lo < hi:
        mid = (lo+hi)//2
        if a[mid] < x:
            lo = mid+1
        else:
            hi = mid
    return lo

## prime factorization
def primefs(n):
    ## if n == 1    ## calculating primes
    primes = {}
    while(n%2 == 0 and n > 0):
        primes[2] = primes.get(2, 0) + 1
        n = n//2
    for i in range(3, int(n**0.5)+2, 2):
        while(n%i == 0 and n > 0):
            primes[i] = primes.get(i, 0) + 1
            n = n//i
    if n > 2:
        primes[n] = primes.get(n, 0) + 1
    ## prime factoriazation of n is stored in dictionary
    ## primes and can be accesed. O(sqrt n)
    return primes

## MODULAR EXPONENTIATION FUNCTION
def power(x, y, p): 
    res = 1
    x = x % p  
    if (x == 0) : 
        return 0
    while (y > 0) : 
        if ((y & 1) == 1) : 
            res = (res * x) % p 
        y = y >> 1      
        x = (x * x) % p 
    return res 

## DISJOINT SET UNINON FUNCTIONS
def swap(a,b):
    temp = a
    a = b
    b = temp
    return a,b

# find function with path compression included (recursive)
# def find(x, link):
#     if link[x] == x:
#         return x
#     link[x] = find(link[x], link);
#     return link[x];

# find function with path compression (ITERATIVE)
def find(x, link):
    p = x;
    while( p != link[p]):
        p = link[p];
    
    while( x != p):
        nex = link[x];
        link[x] = p;
        x = nex;
    return p;


# the union function which makes union(x,y)
# of two nodes x and y
def union(x, y, link, size):
    x = find(x, link)
    y = find(y, link)
    if size[x] < size[y]:
        x,y = swap(x,y)
    if x != y:
        size[x] += size[y]
        link[y] = x

## returns an array of boolean if primes or not USING SIEVE OF ERATOSTHANES
def sieve(n): 
    prime = [True for i in range(n+1)] 
    p = 2
    while (p * p <= n): 
        if (prime[p] == True): 
            for i in range(p * p, n+1, p):
                prime[i] = False
        p += 1
    return prime

#### PRIME FACTORIZATION IN O(log n) using Sieve ####
MAXN = int(1e6 + 5)
def spf_sieve():
    spf[1] = 1;
    for i in range(2, MAXN):
        spf[i] = i;
    for i in range(4, MAXN, 2):
        spf[i] = 2;
    for i in range(3, ceil(MAXN ** 0.5), 2):
        if spf[i] == i:
            for j in range(i*i, MAXN, i):
                if spf[j] == j:
                    spf[j] = i;
    ## function for storing smallest prime factors (spf) in the array

################## un-comment below 2 lines when using factorization #################
# spf = [0 for i in range(MAXN)]
# spf_sieve() 
def factoriazation(x):
    ret = {};
    while x != 1:
        ret[spf[x]] = ret.get(spf[x], 0) + 1;
        x = x//spf[x]
    return ret
    ## this function is useful for multiple queries only, o/w use
    ## primefs function above. complexity O(log n)

## taking integer array input
def int_array():
    return list(map(int, input().strip().split()))
## taking string array input
def str_array():
    return input().strip().split();

#defining a couple constants
MOD = int(1e9)+7;
CMOD = 998244353;
INF = float('inf'); NINF = -float('inf');

################### ---------------- TEMPLATE ENDS HERE ---------------- ###################

n = int(input()); a = [];
for _ in range(n):
    a.append(tuple(int_array()));
ans = [1];
while(len(ans) != n):
    if len(ans) == n+1:
        ans.pop(); continue;

    x, y = a[ans[-1] - 1];
    if x in a[y - 1]:
        ans.append(y); ans.append(x);
    else:
        ans.append(x); ans.append(y);
print(*ans);