import java.util.*;
import java.io.*;

public class AnalyseSMSR {

    private static void show(long[]x){
	int n = x.length;
	for (int i=0;i<n;i++) System.out.print(x[i] + " ");
	System.out.println();
    }
    private static long average(long[]x){
	int n = x.length;
	long sum = 0;
	for (int i=0;i<n;i++) sum = sum + x[i];
	return sum/n;
    }

    private static double geometricMean(long[]x){
	int n = x.length;
	double logSum = 0.0;
	for (int i=0;i<n;i++) logSum = logSum + Math.log((double)x[i]);
	return Math.exp(logSum/(double)n);
    }

    private static long median(long[]x){
	int n = x.length;
	Arrays.sort(x);
	return x[n/2];
    }

    private static long min(long[]x){
	int n = x.length;
	long min = x[0];
	for (int i=1;i<n;i++) min = Math.min(min,x[i]);
	return min;
    }
    
    private static long max(long[]x){
	int n = x.length;
	long max = x[0];
	for (int i=1;i<n;i++) max = Math.max(max,x[i]);
	return max;
    }

    private static void stats(Scanner sc,int n,int p,int lwb,int upb) throws IOException {
	int count        = 0;
	long[] solutions = new long[upb-lwb+1]; // number of solutions instance by instance
	int sat          = 0; // how many instances had matchings
	String P         = Integer.toString(p);
 
	if (p < 10) P = "0" + P;

	for (int i=lwb;i<=upb;i++){
	    //Scanner sc = new Scanner(new File(fname));
	    sc.next(); sc.next(); // n:
	    sc.next(); sc.next(); // p
	    sc.next(); solutions[count] = sc.nextLong();
	    if (solutions[count] > 0) sat++;
	    count++;
	    for (int j=0;j<12;j++) sc.next();
	}
	System.out.format("%d  %.2f ",n,((float)p)/100.0);
	System.out.print((sat/10) +" ");
	System.out.print(average(solutions) +" "+ min(solutions) +" "+ median(solutions) +" "+ max(solutions) +" ");
	System.out.println();
    }

    public static void main(String[] args) throws IOException {
	Scanner sc     = new Scanner(new File(args[0]));
	int n          = Integer.parseInt(args[1]); // agents
	int pLo        = Integer.parseInt(args[2]); // mixing probability
	int pHi        = Integer.parseInt(args[3]); // mixing probability
	int pInc       = Integer.parseInt(args[4]); // increment for pq
	int lwb        = Integer.parseInt(args[5]); // index of 1st results file
	int upb        = Integer.parseInt(args[6]); // index of last results file
     
	for (int p=pLo;p<=pHi;p=p+pInc)
	    stats(sc,n,p,lwb,upb);
    }
}