#include<iostream>
#include<vector>
#include<algorithm>
#include<cstdlib>
using namespace std;


static const int D=365;
static const int ntype=26;

class Contest{
public:
    Contest(){
        last=0;
    }
    int s[D+1];
    int c;
    int last;
};

Contest contest[27];

void Input(){
    int d;
    cin>>d;
    for(int i=1;i<=ntype;++i){
        int t;
        cin>>t;
        contest[i].c=t;
    }
    for(int day=1;day<=D;++day){
        for(int type=1;type<=ntype;++type){
            int t;
            cin>>t;
            contest[type].s[day]=t;
        }
    }
}

int v[D+1];

int gene[50][D+1];
int next_gene[50][D+1];
int elete[D+1];
vector<pair<double,int>> cumfreq;

void randGene(int i){
    for(int day=1;day<=D;++day){
        gene[i][day]=rand()%26+1;
    }
}

void Init(){
    for(int i=0;i<50;++i){
        randGene(i);
    }
}

void decoding(int i){
    v[0]=0;
    for(int day=1;day<=D;++day){
        v[day]=0;
        int type=gene[i][day];
        v[day]+=contest[type].s[day];
        contest[type].last=day;
        for(int t=1;t<=ntype;++t){
            v[day]-=contest[t].c*(day-contest[t].last);
        }
        v[day]+=v[day-1];
    }
    cumfreq.push_back(make_pair((double)v[D],i));   
}

void CrossOver(int ni, int ci, int cj){
    for(int i=1;i<=D;++i){
        double p=rand()/RAND_MAX;
        if(p>0.5) next_gene[ni][i]=gene[ci][i];
        else next_gene[ni][i]=gene[cj][i];
    }
}

void Mutation(int i){
    /*cout<<i<<endl;
    reverse(next_gene+i+1,next_gene+i+D+1);
    cout<<"mutation"<<endl;*/
    /*int tgene[D+1];
    for(int d=1;d<=D;++d) tgene[d]=next_gene[i][d];
    for(int d=1;d<=D;++d) next_gene[i][d]=tgene[D-d+1];*/
    for(int day=1;day<=D;++day){
        next_gene[i][day]=rand()%26+1;
    }
}

void calcCumFreq(){
    double sum=0;
    for(int i=0;i<50;++i){
        sum+=cumfreq[i].first;
    }
    for(int i=0;i<50;++i){
        cumfreq[i].first/=sum;
    }
    sort(cumfreq.begin(),cumfreq.end());
    for(int i=0;i<49;++i){
        cumfreq[i+1].first+=cumfreq[i].first;
    }
}

int Select(){
    double a=(double)rand()/RAND_MAX;
    for(int i=0;i<49;++i){
        if(cumfreq[i+1].first>a) return cumfreq[i].second;
    }
    return cumfreq[49].second;
}

void GA(){
    static const double crossRate=0.3;
    static const double mutationRate=0.05;  
    for(int i=0;i<50;++i){
        int pi=Select();
        double crossrand=(double)rand()/RAND_MAX;
        if(crossrand<crossRate){
            int pj=Select();
            CrossOver(i,pi,pj);
        }
        else{
            for(int j=1;j<=D;++j) next_gene[i][j]=gene[pi][j];
        }
        double murand=(double)rand()/RAND_MAX;
        if(murand<mutationRate){
            Mutation(i);
        }
    }
    cumfreq.resize(0);
    for(int i=0;i<50;++i){
        for(int j=1;j<=D;++j){
            gene[i][j]=next_gene[i][j];
        }
        decoding(i);
    }
    calcCumFreq();
}

int main(){
    srand(700);
    Input();
    Init();
    for(int i=0;i<50;++i){
        decoding(i);
    }
    calcCumFreq();
    for(int i=0;i<1000;++i){
        GA();
    }
    for(int i=0;i<50;++i){
        decoding(i);
    }
    calcCumFreq();
    sort(cumfreq.begin(),cumfreq.end());
    int e=cumfreq[49].second;
    
    for(int i=1;i<=D;++i) cout<<gene[e][i]<<endl;  
} 

Measured memory_bytes: 3828