### BUGGY CODE ###

import sys
import math
import fractions
import bisect
import queue
import heapq
import collections
import itertools
import random
sys.setrecursionlimit(4100000)


D = int(input())
C = list(map(int,input().split()))

S = []
for i in range(D):
    tmp = list(map(int,input().split()))
    S.append(tmp)


class Schejule:

    def __init__(self, sche):
        self.base = sche
        self.last = [0] * 26
        self.y = 0

    def get_score(self):
        self.y = 0
        for d in range(D):
            self.y += S[d][self.base[d]]

        for d in range(D):
            self.last[self.base[d]] = d + 1

            for j in range(26):
                self.y -= C[j] * (d+1 - self.last[j])

    def change_one(self, day, to):

        org = self.base[day]

        # 差分
        div = 0

        # その日の満足度の変化
        div += S[day][to] - S[day][org]

        # 損失
        org_loss = 0
        cha_loss = 0

        org_last = 0
        cha_last = 0
        for d in range(D):
            if self.base[d] == org:
                org_last = d + 1
            elif self.base[d] == to:
                cha_last = d + 1

            org_loss +=  C[org] * (d+1 - org_last)
            cha_loss +=  C[to ] * (d+1 - cha_last)

        def_loss = cha_loss + org_loss


        org_loss = 0
        cha_loss = 0

        org_last = 0
        cha_last = 0
        for d in range(D):
            if d != day:
                if self.base[d] == org:
                    org_last = d + 1
                elif self.base[d] == to:
                    cha_last = d + 1
            else:
                cha_last = d+1

            org_loss +=  C[org] * (d+1 - org_last)
            cha_loss +=  C[to ] * (d+1 - cha_last)

        aft_loss = cha_loss + org_loss


        # 全体の差分
        div -= aft_loss - def_loss

        # ε-greedy
        if div > 0 or random.randint(0, 9) >= 8:
            next_plan = self.base.copy()
            next_plan[day] = to

            sche_next = Schejule(next_plan)
            sche_next.y = self.y + div

            return sche_next
        else:
            return self



T = [0] * D

for i in range(D):
    max_day = 0
    for j in range(26):
        if S[i][max_day] < S[i][j]:
            max_day = j
    T[i] = max_day


sche_base = Schejule(T)
sche_base.get_score()


best_score = sche_base.y
best_set = sche_base.base.copy()

#print(sche_base.y)

#print(*sche_base.base)

for i in range(100000):
    d = random.randint(0, D - 1)
    t = random.randint(0, 26 - 1)

    sche_base  = sche_base.change_one(d, t)

    if best_score < sche_base.y:
        best_score = sche_base.y
        best_set = sche_base.base.copy()
        #print("updated!!!!")
        #print("best:", best_score, "->", *best_set)

    #print("now: ", sche_base.y, "->", *sche_base.base)
    #print("best:", best_score, "->", *best_set)
    #print("\n")
    #print(*sche_base.base)

    #print(sche_base.y)

for i in range(D):
    print(best_set[i] + 1)









### FIXED CODE ###

import sys
import math
import fractions
import bisect
import queue
import heapq
import collections
import itertools
import random
sys.setrecursionlimit(4100000)


D = int(input())
C = list(map(int,input().split()))

S = []
for i in range(D):
    tmp = list(map(int,input().split()))
    S.append(tmp)


class Schejule:

    def __init__(self, sche):
        self.base = sche
        self.last = [0] * 26
        self.y = 0

    def get_score(self):
        self.y = 0
        for d in range(D):
            self.y += S[d][self.base[d]]

        for d in range(D):
            self.last[self.base[d]] = d + 1

            for j in range(26):
                self.y -= C[j] * (d+1 - self.last[j])

    def change_one(self, day, to):

        org = self.base[day]

        # 差分
        div = 0

        # その日の満足度の変化
        div += S[day][to] - S[day][org]

        # 損失
        org_loss = 0
        cha_loss = 0

        org_last = 0
        cha_last = 0
        for d in range(D):
            if self.base[d] == org:
                org_last = d + 1
            elif self.base[d] == to:
                cha_last = d + 1

            org_loss +=  C[org] * (d+1 - org_last)
            cha_loss +=  C[to ] * (d+1 - cha_last)

        def_loss = cha_loss + org_loss


        org_loss = 0
        cha_loss = 0

        org_last = 0
        cha_last = 0
        for d in range(D):
            if d != day:
                if self.base[d] == org:
                    org_last = d + 1
                elif self.base[d] == to:
                    cha_last = d + 1
            else:
                cha_last = d+1

            org_loss +=  C[org] * (d+1 - org_last)
            cha_loss +=  C[to ] * (d+1 - cha_last)

        aft_loss = cha_loss + org_loss


        # 全体の差分
        div -= aft_loss - def_loss

        if div > 0 or random.randint(0, 9) >= 7:
            next_plan = self.base
            next_plan[day] = to

            sche_next = Schejule(next_plan)
            sche_next.y = self.y + div

            return sche_next
        else:
            return self



T = [0] * D

for i in range(D):
    max_day = 0
    for j in range(26):
        if S[i][max_day] < S[i][j]:
            max_day = j
    T[i] = max_day


sche_base = Schejule(T)
sche_base.get_score()


best_score = sche_base.y
best_set = T

#print(sche_base.y)

#print(*sche_base.base)

for i in range(1000):
    d = random.randint(0, D - 1)
    t = random.randint(0, 26 - 1)

    sche_base  = sche_base.change_one(d, t)

    if best_score < sche_base.y:
        best_score = sche_base.y
        best_set = sche_base.base
    #print(*sche_base.base)

    #print(sche_base.y)

for i in range(D):
    print(sche_base.base[i] + 1)


#print(best_score)