Done

[pranjay01]

No description provided.

[super30admin]

Strengths:

• The solution for two sum (Problem2.py) is correct and efficient, with optimal time and space complexity.
• The code is well-commented and easy to understand.
• The logic is sound: using a dictionary to store numbers and their indices, and checking for the complement in one pass.

Areas for Improvement:

• The student submitted two files, but only Problem2.py is relevant to the problem. It's important to ensure that the solution matches the problem statement. In this case, Problem1.py is for a different problem and should not be included.
• The comments in Problem2.py use "On" instead of "O(n)" for time and space complexity. Using standard notation (O(n)) is more professional and widely understood.
• The return statement in the two sum solution returns -1 if no solution is found. However, the problem states that there is exactly one solution, so this case might not occur. But for completeness, it's good to handle it. However, the problem constraints guarantee exactly one solution, so it's acceptable. Alternatively, you could return an empty list or throw an exception, but returning -1 (which is not a list of integers) might cause a type error in some contexts. It's better to return an empty list or a specific indicator that is consistent with the return type (List[int]).

Overall, the two sum solution is excellent. Just be mindful of submitting only the relevant code and using standard notation in comments.