import sys
input = sys.stdin.readline

class LazySegmentTree:
    def __init__(
        self,
        n,
        identity_e_node,
        identity_e_lazy,
        combine_node_f,
        combine_lazy_f,
        reflect_f,        
    ):
        self._n = n
        self._size = 1
        self._height = 0
        while self._size < self._n:
            self._size <<= 1
            self._height += 1
        self._identity_e_node = identity_e_node
        self._identity_e_lazy = identity_e_lazy
        self._combine_node_f = combine_node_f
        self._combine_lazy_f = combine_lazy_f
        self._reflect_f = reflect_f
        self._node = [self._identity_e_node] * (2 * self._size)
        self._lazy = [self._identity_e_lazy] * (2 * self._size)
        
    #遅延データの値を値データに反映させたときの値を返す。
    def _reflect_lazy(self, index):
        return self._reflect_f(self._node[index], self._lazy[index])
    
    def _propagate_from_top(self, index):
        index += self._size
        for h in range(self._height, 0, -1):
            i = index >> h
            if self._lazy[i] != self._identity_e_lazy:
                self._lazy[i << 1] = self._combine_lazy_f(
                    self._lazy[i << 1], self._lazy[i]
                )
                self._lazy[i << 1 | 1] = self._combine_lazy_f(
                    self._lazy[i << 1 | 1], self._lazy[i]
                )
                
                self._node[i] = self._reflect_lazy(i)
                self._lazy[i] = self._identity_e_lazy
                
    def _update_from_bottom(self, index):
        index = (index + self._size) >> 1
        while index:
            self._node[index] = self._combine_node_f(
                self._reflect_lazy(index << 1),
                self._reflect_lazy(index << 1 | 1)                
            )
            index >>= 1
            
    def build(self, array):
        assert len(array) == self._n
        for index, value in enumerate(array, start=self._size):
            self._node[index] = value
        for index in range(self._size - 1, 0, -1):
            self._node[index] = self._combine_node_f(
                self._node[index << 1],
                self._node[index << 1 | 1]    
            )
            
    # 区間更新　位置[L, R) (0-indexed)を値valueで更新
    def update(self, L, R, value):
        self._propagate_from_top(L)
        self._propagate_from_top(R - 1)
        
        L_lazy = L + self._size
        R_lazy = R + self._size
        while L_lazy < R_lazy:
            if L_lazy & 1:
                self._lazy[L_lazy] = self._combine_lazy_f(self._lazy[L_lazy], value)
                L_lazy += 1
            if R_lazy & 1:
                R_lazy -= 1
                self._lazy[R_lazy] = self._combine_lazy_f(self._lazy[R_lazy], value)
            L_lazy >>= 1
            R_lazy >>= 1
            
        self._update_from_bottom(L)
        self._update_from_bottom(R - 1)
        
    # 区間取得　区間[L, R) (0-indexed)内の要素について
    # L番目から順にcombine_node_fを適用した値を返す。
    def fold(self, L, R):
        self._propagate_from_top(L)
        self._propagate_from_top(R - 1)
        
        L += self._size
        R += self._size
        value_L = self._identity_e_node
        value_R = self._identity_e_node
        while L < R:
            if L & 1:
                value_L = self._combine_node_f(value_L, self._reflect_lazy(L))
                L += 1
            if R & 1:
                R -= 1
                value_R = self._combine_node_f(self._reflect_lazy(R), value_R)
            L >>= 1
            R >>= 1
        return self._combine_node_f(value_L, value_R)
    
    
N = int(input())
A = list(map(int, input().split()))

from collections import *
inf = 10 ** 18
l, r = defaultdict(lambda : inf), defaultdict(lambda : -inf)
for i in range(N):
    l[A[i]] = min(l[A[i]], i)
    r[A[i]] = max(r[A[i]], i + 1)
    
T = LazySegmentTree(N, 0, 0, max, max, max)
T.build([0]*N)
for v in sorted(list(set(A))):
    T.update(l[v], r[v], v)
    
ans = []
for i in range(N):
    ans.append(T.fold(i, i + 1))
    
print(*ans)