def can_make_identical(array_one, array_two, m):
diff = [array_two[i] - array_one[i] for i in range(m)]

start = end = -1
value = None
for i in range(m):
if diff[i] != 0:
if value is None:
value = diff[i]
if value < 0:
return False, len(set(array_one).intersection(array_two))
start = end = i
elif diff[i] == value:
end = i
else:
return False, len(set(array_one).intersection(array_two))

if start == -1:
return True, 0

for i in range(start, end + 1):
if diff[i] != value:
return False, len(set(array_one).intersection(array_two))

return True, value

m = int(input())
array_one = list(map(int, input().split()))
array_two = list(map(int, input().split()))

can_make, result = can_make_identical(array_one, array_two, m)

if can_make:
print(f"YES {result}")
else:
print(f"NO {result}")

Array similarity // nextwave 👍

def mex_number():
    n = int(input())
    arr = list(map(int, input().split()))
    arr_set = set(arr)
    mex = 0
    while mex in arr_set:
        mex += 1
    for num in sorted(arr):
        arr_set.remove(num)
        new_mex = 0
        while new_mex in arr_set:
            new_mex += 1
        if new_mex!= mex:
            return 1
        arr_set.add(num) 
    return -2

print(mex_number())

Mex num // nextwave👍

def alpha(s):
r = 8
for c in s:
if c.isalpha():
r = r * 26 + (ord(c.upper()) - ord('A') + 1)
return r

print(alpha(input()))

Excel common // nextwave 👍

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