Buggy python submission (verdict: Time Limit Exceeded):
from statistics import median
from time import time

t = time()

N, K = [int(x) for x in input().split()]
line_in_dice = list([int(x) for x in input().split()])

result = [0] * (N + K)

result[0] = line_in_dice[0]
result[K] -= line_in_dice[0]

max_point = 0
max_value = 0

for i in range(1, N):
    result[i] += (result[i - 1] + line_in_dice[i])
    result[i + K] -= line_in_dice[i]

    if result[i] > max_value:
        max_point = i
        max_value = result[i]

print(sum([median(range(1, x+1))
           for x in line_in_dice[max_point+1-K:max_point+1]]))


Fixed submission:
from statistics import median
from time import time

t = time()

N, K = [int(x) for x in input().split()]
line_in_dice = list([int(x) for x in input().split()])

result = [0] * (N + K)

result[0] = line_in_dice[0]
result[K] -= line_in_dice[0]

max_point = 0
max_value = 0

for i in range(1, N):
    result[i] += (result[i - 1] + line_in_dice[i])
    result[i + K] -= line_in_dice[i]

    if result[i] > max_value:
        max_point = i
        max_value = result[i]


def create_median(x):
    if x % 2 == 1:
        return (1 + x) // 2
    else:
        return ((x // 2) + (x // 2 + 1)) / 2


print(sum(create_median(x)
          for x in line_in_dice[max_point - K + 1: max_point+1]))

Buggy python submission (verdict: Time Limit Exceeded):
from statistics import median

N, K = [int(x) for x in input().split()]
line_in_dice = list([median(range(1, int(x)+1)) for x in input().split()])

max_value = 0

for i in range(N):
    if i + K > N:
        break

    check = 0
    for x in range(K):
        check += line_in_dice[i + x]

    if check > max_value:
        max_value = check

print(max_value)


Fixed submission:
from statistics import median
from time import time

t = time()

N, K = [int(x) for x in input().split()]
line_in_dice = list([int(x) for x in input().split()])

result = [0] * (N + K)

result[0] = line_in_dice[0]
result[K] -= line_in_dice[0]

max_point = 0
max_value = 0

for i in range(1, N):
    result[i] += (result[i - 1] + line_in_dice[i])
    result[i + K] -= line_in_dice[i]

    if result[i] > max_value:
        max_point = i
        max_value = result[i]


def create_median(x):
    if x % 2 == 1:
        return (1 + x) // 2
    else:
        return ((x // 2) + (x // 2 + 1)) / 2


print(sum(create_median(x)
          for x in line_in_dice[max_point - K + 1: max_point+1]))

Buggy python submission (verdict: Time Limit Exceeded):
from statistics import median

N, K = [int(x) for x in input().split()]
line_in_dice = list([int(x) for x in input().split()])

max_value = 0

for i in range(N):
    if i + K > N:
        break

    check = 0
    for x in range(K):
        check += median(range(1, line_in_dice[i + x] + 1))

    if check > max_value:
        max_value = check

print(max_value)


Fixed submission:
from statistics import median
from time import time

t = time()

N, K = [int(x) for x in input().split()]
line_in_dice = list([int(x) for x in input().split()])

result = [0] * (N + K)

result[0] = line_in_dice[0]
result[K] -= line_in_dice[0]

max_point = 0
max_value = 0

for i in range(1, N):
    result[i] += (result[i - 1] + line_in_dice[i])
    result[i + K] -= line_in_dice[i]

    if result[i] > max_value:
        max_point = i
        max_value = result[i]


def create_median(x):
    if x % 2 == 1:
        return (1 + x) // 2
    else:
        return ((x // 2) + (x // 2 + 1)) / 2


print(sum(create_median(x)
          for x in line_in_dice[max_point - K + 1: max_point+1]))