Problem:
Score : 400 points

Problem Statement

We have N dice arranged in a line from left to right. The i-th die from the left shows p_i numbers from 1 to p_i with equal probability when thrown.

We will choose K adjacent dice, throw each of them independently, and compute the sum of the numbers shown. Find the maximum possible value of the expected value of this sum.

Constraints

1 ≤ K ≤ N ≤ 200000

1 ≤ p_i ≤ 1000

All values in input are integers.

Input

Input is given from Standard Input in the following format:

N K
p_1 ... p_N

Output

Print the maximum possible value of the expected value of the sum of the numbers shown.

Your output will be considered correct when its absolute or relative error from our answer is at most 10^{-6}.

Sample Input 1

5 3
1 2 2 4 5

Sample Output 1

7.000000000000

When we throw the third, fourth, and fifth dice from the left, the expected value of the sum of the numbers shown is 7. This is the maximum value we can achieve.

Sample Input 2

4 1
6 6 6 6

Sample Output 2

3.500000000000

Regardless of which die we choose, the expected value of the number shown is 3.5.

Sample Input 3

10 4
17 13 13 12 15 20 10 13 17 11

Sample Output 3

32.000000000000

Solution in Haskell (GHC 7.10.3) (judge verdict: Wrong Answer)

import Data.List
import Text.Printf
main :: IO ()
main = do
  [_, pickupDice] <- getInts
  dices <- getInts
  printf "%.6f\n" $ getMaxMean pickupDice 0 dices

-- | 最大の平均値を取得する
--
-- >>> getMaxMean 4 0 [17,13,13,12,15,20,10,13,17,11]
-- 32.0
getMaxMean :: Int -> Float -> [Int] -> Float
getMaxMean _ currentMax [] = currentMax
getMaxMean pickupDice currentMax (x:xs)
  | length xs < pickupDice - 1 = currentMax
  | otherwise = getMaxMean pickupDice newMax xs
  where
    currentMean = sum $ map calcMean $ take pickupDice xs
    newMax = if currentMax > currentMean then currentMax else currentMean

-- | ダイスの平均値を出す
--
-- >>> calcMean 1
-- 1.0
-- >>> calcMean 2
-- 1.5
-- >>> calcMean 3
-- 2.0
-- >>> calcMean 5
-- 3.0
-- >>> calcMean 6
-- 3.5
calcMean :: Int -> Float
calcMean 1 = realToFrac 1 :: Float
calcMean x = (realToFrac(x) / 2) + 0.5 :: Float

isUniq :: [String] -> String
isUniq [] = "YES"
isUniq (x:xs) 
  | x `elem` xs  = "NO"
  | otherwise = isUniq xs

getInts = do
  x <- getLine
  let y = (map $ read) $ words x :: [Int]
  return y