Problem: N people run a marathon. There are M resting places on the way. For each resting place, the i-th runner takes a break with probability P_i percent. When the i-th runner takes a break, he gets rest for T_i time.

The i-th runner runs at constant speed V_i, and the distance of the marathon is L.

You are requested to compute the probability for each runner to win the first place. If a runner arrives at the goal with another person at the same time, they are not considered to win the first place.



Input

A dataset is given in the following format:

N M L
P_1 T_1 V_1
P_2 T_2 V_2
...
P_N T_N V_N


The first line of a dataset contains three integers N (1 \leq N \leq 100), M (0 \leq M \leq 50) and L (1 \leq L \leq 100,000). N is the number of runners. M is the number of resting places. L is the distance of the marathon.

Each of the following N lines contains three integers P_i (0 \leq P_i \leq 100), T_i (0 \leq T_i \leq 100) and V_i (0 \leq V_i \leq 100) describing the i-th runner. P_i is the probability to take a break. T_i is the time of resting. V_i is the speed.

Output

For each runner, you should answer the probability of winning. The i-th line in the output should be the probability that the i-th runner wins the marathon. Each number in the output should not contain an error greater than 10^{-5}.

Examples

Input

2 2 50
30 50 1
30 50 2


Output

0.28770000
0.71230000


Input

2 1 100
100 100 10
0 100 1


Output

0.00000000
1.00000000


Input

3 1 100
50 1 1
50 1 1
50 1 1


Output

0.12500000
0.12500000
0.12500000


Input

2 2 50
30 0 1
30 50 2


Output

0.51000000
0.49000000

Solution (in JAVA):

Solution:
import java.util.Arrays;
import java.util.Scanner;

public class Main {
	
	public static void main(String[] args) {
		Scanner sc = new Scanner(System.in);

		final int N = sc.nextInt();
		final int M = sc.nextInt();
		final int L = sc.nextInt();
		
		long[][] combs = new long[M + 1][M + 1];
		combs[0][0] = 1;
		for(int i = 0; i < M; i++){
			for(int j = 0; j < M; j++){
				if(combs[i][j] == 0){
					continue;
				}
				
				combs[i + 1][j    ] += combs[i][j];
				combs[i + 1][j + 1] += combs[i][j];
			}
		}
		
		double[][] probs = new double[N][M + 1];
		double[][] probs_sums = new double[N][M + 1];
		double[][] times = new double[N][M + 1];
		
		
		for(int i = 0; i < N; i++){
			final double P = sc.nextDouble() / 100;
			final int T = sc.nextInt();
			final int V = sc.nextInt();
			
			//init_time
			double time = (double)(L) / V;
			
			for(int j = 0; j <= M; j++){
				times[i][j] = time + j * T;
			}
			
			//init_prob
			for(int j = 0; j <= M; j++){
				probs[i][j] = combs[M][j];
			}
			
			double rest_p = 1.0;
			for(int j = 0; j <= M; j++){
				probs[i][j] *= rest_p;
				rest_p *= P;
			}
			
			double unrest_p = 1.0;
			for(int j = 0; j <= M; j++){
				probs[i][M - j] *= unrest_p;
				unrest_p *= 1 - P;
			}
			
			//sum
			for(int j = 0; j <= M; j++){
				probs_sums[i][j] = (j == 0 ? 0 : probs_sums[i][j-1]) + probs[i][j];
			}
		}
		
		for(int fst = 0; fst < N; fst++){
			double fst_prob = 0;
			
			for(int rest = 0; rest <= M; rest++){
				final double rested_time = times[fst][rest];
				double to_fst_prob = probs[fst][rest];
				
				for(int other = 0; other < N; other++){
					if(fst == other){
						continue;
					}
					
					int pos = Arrays.binarySearch(times[other], rested_time);
					if(pos < 0){
						pos = -(pos + 2);
					}
					
					double win_prob = 0;
					if(pos < 0){
						win_prob = 1;
					}else{
						win_prob = 1 - probs_sums[other][pos];
						win_prob = Math.max(win_prob, 0);
					}
					
					to_fst_prob *= win_prob;
				}
				
				fst_prob += to_fst_prob;
			}
			
			System.out.printf("%.8f\n", fst_prob);
		}
	}

}