Buggy python submission (verdict: Runtime Error):
#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys

input = raw_input().split(" ")
N = int(input[0])
K = long(input[1])

aVec = raw_input().split(" ")
a = []

for i in aVec:
    a.append(long(i))


VecNum = N * (N + 1) / 2


subarray = []

for i in range(0, N):
    a_bubun = a[i:]
    for k in range(0, len(a_bubun)):
        subarray.append(a_bubun[k:])


#print subarray

beauty = []
for i in subarray:
    beauty.append(sum(i))
beauty.sort(reverse=True)


#K個大きい物を選ぶ
aK = []
for i in range(0, K):
    aK.append(beauty[i])


#論理積の最大値なので、最小値を求める
print min(aK)

Fixed submission:
#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys

input = raw_input()
N = int(input)
aVec = raw_input().split(" ")
a = []

for i in aVec:
    a.append(float(i))


#平均を算出
mean = sum(a) / N

#平均に最も近い値を算出(平均を引いたときの最小値を出す)
near_mean = []

for i in a:
    near_mean.append(abs(i - mean))

#平均値に最も近い値のフレーム番号(0始まり)を出力
#同じ値が複数ある場合は最初のインデックスを返す必要があるが、index関数はそういう仕様なので問題ない
print near_mean.index(min(near_mean))

Buggy python submission (verdict: Runtime Error):
# -*- coding: utf-8 -*-

N, K = map(int, input().split())
a = list(map(int, input().split()))

dp = [[-1 for k in range(N*(N+1)//2+1)] for n in range(1000+1)]

def generate_substring(a):
    for i in range(N):
        for j in range(i, N):
            yield a[i:j+1]

def find_max_and(i, k):

    if dp[i][k] >= 0:
        return dp[i][k];
    
    if i == N_SUBSTR:
        res = 0xFFFF if k == 0 else 0
    elif k == 0:
        res = find_max_and(i + 1, k)
    else:
        a = find_max_and(i + 1, k)
        b = find_max_and(i + 1, k - 1) & scores[i]
        
        res = b if a == 0xFFFF else max(a, b)

    dp[i][k] = res
    return res

scores = list(map(sum, generate_substring(a)))
N_SUBSTR = len(scores)
print(find_max_and(0, K))



Fixed submission:
# -*- coding: utf-8 -*-
import statistics

N = int(input())
a = list(map(int, input().split()))

def argmin(z):
    min_idx = 0
    min_val = 10000
    for k, v in enumerate(z):
        if min_val > v:
            min_idx = k
            min_val = v
    return min_idx, min_val

m = statistics.mean(a)
z = [abs(b - m) for b in a]

k, v = argmin(z)
print(k)

Buggy python submission (verdict: Runtime Error):
# -*- coding: utf-8 -*-

N, K = map(int, input().split())
a = list(map(int, input().split()))

dp = [[-1 for k in range(N*(N+1)//2+1)] for n in range(1000+1)]

def generate_substring(a):
    for i in range(N):
        for j in range(i, N):
            yield a[i:j+1]

def find_max_and(i, k):

    if dp[i][k] >= 0:
        return dp[i][k];
    
    if i == N_SUBSTR:
        res = 0xFFFF if k == 0 else 0
    elif k == 0:
        res = find_max_and(i + 1, k)
    else:
        a = find_max_and(i + 1, k)
        b = find_max_and(i + 1, k - 1) & scores[i]
        
        res = b if a == 0xFFFF else max(a, b)

    dp[i][k] = res
    return res

scores = list(map(sum, generate_substring(a)))
N_SUBSTR = len(scores)
print(find_max_and(0, K))



Fixed submission:
# -*- coding: utf-8 -*-
import statistics

N = int(input())
a = list(map(int, input().split()))

def argmin(z):
    min_idx = 0
    min_val = 10000
    for k, v in enumerate(z):
        if min_val > v:
            min_idx = k
            min_val = v
    return min_idx, min_val

m = statistics.mean(a)
z = [abs(b - m) for b in a]

k, v = argmin(z)
print(k)

Buggy python submission (verdict: Runtime Error):
# -*- coding: utf-8 -*-

N, K = map(int, input().split())
a = list(map(int, input().split()))

dp = [[-1 for k in range(N*(N+1)//2+1)] for n in range(1000+1)]

def generate_substring(a):
    for i in range(N):
        for j in range(i, N):
            yield a[i:j+1]

def find_max_and(i, k):

    if dp[i][k] >= 0:
        return dp[i][k];
    
    if i == N_SUBSTR:
        res = 0xFFFF
    elif k == 0:
        res = find_max_and(i + 1, k)
    else:
        a = find_max_and(i + 1, k)
        b = find_max_and(i + 1, k - 1) & scores[i]
        
        res = b if a == 0xFFFF else max(a, b)

    dp[i][k] = res
    return res

scores = list(map(sum, generate_substring(a)))
N_SUBSTR = len(scores)
print(find_max_and(0, K))



Fixed submission:
# -*- coding: utf-8 -*-
import statistics

N = int(input())
a = list(map(int, input().split()))

def argmin(z):
    min_idx = 0
    min_val = 10000
    for k, v in enumerate(z):
        if min_val > v:
            min_idx = k
            min_val = v
    return min_idx, min_val

m = statistics.mean(a)
z = [abs(b - m) for b in a]

k, v = argmin(z)
print(k)