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@eyeamkd eyeamkd commented Jan 18, 2026

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  • Strengths:
    • The solution correctly implements the backtracking approach to generate all subsets.
    • The code is clean, readable, and well-commented.
    • The time and space complexity analysis is mostly accurate, showing a good understanding of the problem.
  • Areas for Improvement:
    • The space complexity analysis could be more precise. While the auxiliary space is O(n), the total space complexity should account for the storage of all subsets, which is O(n * 2^n).
    • The comment in the subsets.py file could be expanded to explain the backtracking choices (include/exclude) more clearly, similar to the reference solution's approach.

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