Buggy python submission (verdict: Runtime Error):
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2)), int(np.floor(X + N/2)) + 1)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)

Fixed submission:
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2 - 1)), int(np.floor(X + N/2)) + 2)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)

Buggy python submission (verdict: Runtime Error):
import numpy as np

X,N = map(int,input().split())
p = input()

if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2)), int(np.floor(X + N/2)) + 1)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        

    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
else:
    print(X)

Fixed submission:
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2 - 1)), int(np.floor(X + N/2)) + 2)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)

Buggy python submission (verdict: Runtime Error):
import numpy as np

X,N = map(int,input().split())

if N != 0:
    
    p_list = [int(n) for n in input().split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2)), int(np.floor(X + N/2)) + 1)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        

    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
else:
    p_list = input()
    print(X)

Fixed submission:
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2 - 1)), int(np.floor(X + N/2)) + 2)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)

Buggy python submission (verdict: Runtime Error):
import numpy as np

X,N = map(int,input().split())

if N != 0:
    
    p_list = [int(n) for n in input().split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2)), int(np.floor(X + N/2)) + 1)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        

    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
else:
    print(X)

Fixed submission:
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2 - 1)), int(np.floor(X + N/2)) + 2)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)

Buggy python submission (verdict: Runtime Error):
import numpy as np

X,N = map(int,input().split())

p_list = [int(n) for n in input().split()]

X_near = np.array(list(range(int(np.ceil(X - N/2)), int(np.floor(X + N/2)) + 1)))

remain_list = []

for i in X_near:
    if i not in p_list:
        remain_list.append(i)
        
remain_array = np.array(remain_list)
min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
print(remain_array[min_bool][0])

Fixed submission:
import numpy as np
 
X,N = map(int,input().split())
p = input()
 
if N != 0:
    
    p_list = [int(n) for n in p.split()]
    
    X_near = np.array(list(range(int(np.ceil(X - N/2 - 1)), int(np.floor(X + N/2)) + 2)))
 
    remain_list = []
 
    for i in X_near:
        if i not in p_list:
            remain_list.append(i)
        
 
    remain_array = np.array(remain_list)
    min_bool = np.abs(X - remain_array).min() == np.abs(X - remain_array)
    print(remain_array[min_bool].min())
    
if N == 0:
    print(X)