Buggy python submission (verdict: Runtime Error):
import bisect

A, B, Q = [int(i) for i in input().split()]

s = [-10**12] + [int(input()) for i in range(A)] + [10**12]
t = [-10**12] + [int(input()) for i in range(B)] + [10**12]
x = [int(input()) for i in range(Q)]

for item in x:
    b, d = bisect.bisect_left(s, item), bisect.bisect_left(t, item)
    min_value = 10**12
    for item_a in [s[a], s[a+1]]:
        for item_c in [t[c], t[c+1]]:
            pata = abs(item_a - item) + abs(item_a - item_c)
            patb = abs(item_c - item) + abs(item_a - item_c)
            min_value = min(min_value, pata, patb)
    print(min_value)


Fixed submission:
import bisect

A, B, Q = [int(i) for i in input().split()]

s = [-10**12] + [int(input()) for i in range(A)] + [10**12]
t = [-10**12] + [int(input()) for i in range(B)] + [10**12]
x = [int(input()) for i in range(Q)]

for item in x:
    a, c = bisect.bisect_left(s, item), bisect.bisect_left(t, item)
    min_value = 10**12
    for item_a in [s[a-1], s[a]]:
        for item_c in [t[c-1], t[c]]:
            pata = abs(item_a - item) + abs(item_a - item_c)
            patb = abs(item_c - item) + abs(item_a - item_c)
            min_value = min(min_value, pata, patb)
    print(min_value)

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

A, B, Q = [int(i) for i in input().split()]

s = np.array([[int(input()) for i in range(A)]])
t = np.array([[int(input()) for i in range(B)]])
x = np.array([[int(input()) for i in range(Q)]])

xtot = np.abs(x-t.T).argmin(axis=0)
xtos = np.abs(s-x.T).argmin(axis=1)

t = np.array([t[0, xtot]])
s = np.array([s[0, xtos]])

stot = np.abs(s-t.T).argmin(axis=0)
ttos = np.abs(s-t.T).argmin(axis=1)

pata = abs(x - t) + abs(t - s[0, ttos]) 
patb = abs(x - s) + abs(s - t[0, stot]) 

for i in range(Q):
    if pata[0, i] >= patb[0, i]:
        print(patb[0, i])
    else:
        print(pata[0, i])

# for i, (a, b) in enumerate(zip(xtot, xtos)):
#     pata = abs(x[0, i] - t[0, i]) + abs(t[0, i] - s[0, ttos[i]]) 
#     patb = abs(x[0, i] - s[0, i]) + abs(s[0, i] - t[0, stot[i]]) 
#     if pata <= patb:
#         print(pata)
#     else:
#         print(patb)


Fixed submission:
import bisect

A, B, Q = [int(i) for i in input().split()]

s = [-10**12] + [int(input()) for i in range(A)] + [10**12]
t = [-10**12] + [int(input()) for i in range(B)] + [10**12]
x = [int(input()) for i in range(Q)]

for item in x:
    a, c = bisect.bisect_left(s, item), bisect.bisect_left(t, item)
    min_value = 10**12
    for item_a in [s[a-1], s[a]]:
        for item_c in [t[c-1], t[c]]:
            pata = abs(item_a - item) + abs(item_a - item_c)
            patb = abs(item_c - item) + abs(item_a - item_c)
            min_value = min(min_value, pata, patb)
    print(min_value)

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

A, B, Q = [int(i) for i in input().split()]

s = np.array([[int(input()) for i in range(A)]])
t = np.array([[int(input()) for i in range(B)]])
x = np.array([[int(input()) for i in range(Q)]])

stot = np.abs(s-t.T).argmin(axis=0)
ttos = np.abs(s-t.T).argmin(axis=1)
xtot = np.abs(x-t.T).argmin(axis=0)
xtos = np.abs(s-x.T).argmin(axis=1)

for i, (a, b) in enumerate(zip(xtot, xtos)):
    pata = abs(x[0, i] - t[0, a]) + abs(t[0, a] - s[0, ttos[a]]) 
    patb = abs(x[0, i] - s[0, b]) + abs(s[0, b] - t[0, stot[b]]) 
    if pata <= patb:
        print(pata)
    else:
        print(patb)


Fixed submission:
import bisect

A, B, Q = [int(i) for i in input().split()]

s = [-10**12] + [int(input()) for i in range(A)] + [10**12]
t = [-10**12] + [int(input()) for i in range(B)] + [10**12]
x = [int(input()) for i in range(Q)]

for item in x:
    a, c = bisect.bisect_left(s, item), bisect.bisect_left(t, item)
    min_value = 10**12
    for item_a in [s[a-1], s[a]]:
        for item_c in [t[c-1], t[c]]:
            pata = abs(item_a - item) + abs(item_a - item_c)
            patb = abs(item_c - item) + abs(item_a - item_c)
            min_value = min(min_value, pata, patb)
    print(min_value)