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neha-pednekar
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  1. Correctness: All solutions correctly implement binary search and handle edge cases appropriately. The logic for each problem is sound and matches the expected behavior.
  2. Time Complexity: The student accurately analyzes the time complexity for each solution, which aligns with the reference solution's performance.
  3. Space Complexity: The space complexity is correctly identified as O(1) for all solutions, which is optimal.
  4. Code Quality: The code is well-organized, with clear comments explaining the approach and logic. Variable names are meaningful, and the code follows best practices.
  5. Efficiency: The solutions are efficient, but for the "Search in a 2D Matrix" problem, the single binary search approach is slightly more elegant and concise compared to the two binary searches approach. However, both are correct and efficient.

Strengths:

  • Clear and concise implementation of binary search.
  • Good handling of edge cases.
  • Well-documented code with explanatory comments.
  • Correct analysis of time and space complexity.

Areas for Improvement:

  • For the "Search in a 2D Matrix" problem, consider emphasizing the single binary search approach as it is more straightforward and equally efficient.
  • Ensure consistency in commenting style across all files (some files have more detailed comments than others).

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2 participants