A clear explanation of checking if the digit sum of the array minimum is odd or even.
Problem Restatement
We are given an integer array A.
Let S be the sum of the digits of the minimum element of A.
Return 0 if S is odd, and 1 if S is even.
The official constraints state that 1 <= A.length <= 100 and 1 <= A[i] <= 100.
Input and Output
| Item | Meaning |
|---|---|
| Input | Array A |
| Output | 1 if digit sum of minimum is even, else 0 |
Function shape:
def sumOfDigits(A: list[int]) -> int:
...Examples
Example 1:
A = [34, 23, 1, 24, 75, 33, 54, 8]Minimum is 1. Digit sum = 1. Odd → return 0.
Answer: 0.
Example 2:
A = [99, 77, 33, 66, 55]Minimum is 33. Digit sum = 3 + 3 = 6. Even → return 1.
Answer: 1.
Edge Cases
- Check the minimum input size allowed by the constraints.
- Verify duplicate values or tie cases if the input can contain them.
- Keep the return value aligned with the exact failure case in the statement.
Common Pitfalls
- Do not optimize away the invariant; the code should still make it clear what condition is being maintained.
- Prefer problem-specific names over one-letter variables once the logic becomes stateful.
Implementation
class Solution:
def sumOfDigits(self, A: list[int]) -> int:
m = min(A)
digit_sum = sum(int(d) for d in str(m))
return 1 if digit_sum % 2 == 0 else 0Testing
def run_tests():
s = Solution()
assert s.sumOfDigits([34,23,1,24,75,33,54,8]) == 0
assert s.sumOfDigits([99,77,33,66,55]) == 1
print("all tests passed")
run_tests()| Test | Expected | Why |
|---|---|---|
Min 1, digit sum 1 | 0 | Odd digit sum |
Min 33, digit sum 6 | 1 | Even digit sum |