【Codeforces Round 363 (Div 2) E】【概率DP 期望DP 逆推等价法】LRU Cache替换LRU原则超多步数后每个数据在Cache中的概率

E. LRU

time limit per test

2 seconds

memory limit per test

256 megabytes

input

standard input

output

standard output

While creating high loaded systems one should pay a special attention to caching. This problem will be about one of the most popular caching algorithms called LRU (Least Recently Used).

Suppose the cache may store no more than k objects. At the beginning of the workflow the cache is empty. When some object is queried we check if it is present in the cache and move it here if it's not. If there are more than k objects in the cache after this, the least recently used one should be removed. In other words, we remove the object that has the smallest time of the last query.

Consider there are n videos being stored on the server, all of the same size. Cache can store no more than k videos and caching algorithm described above is applied. We know that any time a user enters the server he pick the video i with probability p_i. The choice of the video is independent to any events before.

The goal of this problem is to count for each of the videos the probability it will be present in the cache after 10¹⁰⁰ queries.

Input

The first line of the input contains two integers n and k (1 ≤ k ≤ n ≤ 20) — the number of videos and the size of the cache respectively. Next line contains n real numbers p_i (0 ≤ p_i ≤ 1), each of them is given with no more than two digits after decimal point.

It's guaranteed that the sum of all p_i is equal to 1.

Output

Print n real numbers, the i-th of them should be equal to the probability that the i-th video will be present in the cache after 10¹⁰⁰queries. You answer will be considered correct if its absolute or relative error does not exceed 10^- 6.

Namely: let's assume that your answer is a, and the answer of the jury is b. The checker program will consider your answer correct, if .

Examples

input

3 1
0.3 0.2 0.5

output

0.3 0.2 0.5 

input

2 1
0.0 1.0

output

0.0 1.0 

input

3 2
0.3 0.2 0.5

output

0.675 0.4857142857142857 0.8392857142857143 

input

3 3
0.2 0.3 0.5

output

1.0 1.0 1.0 

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