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  1. Correctness: The solution for "Binary-Search-2" is correct and handles edge cases appropriately, such as when the target is not found in the array.
  2. Time Complexity: The time complexity is optimal at O(log n), matching the reference solution.
  3. Space Complexity: The space complexity is O(1), which is optimal and matches the reference solution.
  4. Code Quality: The code is well-structured and readable. The use of helper functions (firstBinarySearch and lastBinarySearch) is a good practice. The comments are clear and explain the approach well.
  5. Efficiency: The solution is efficient and does not require any further optimizations.

Areas for Improvement:

  • The submission includes solutions to unrelated problems (PeakElement.py and findMinSortedArray.py). For future submissions, ensure that only the relevant files are included for the problem being evaluated.
  • While the comments are helpful, they could be slightly more detailed to explain why certain conditions are checked (e.g., why mid == 0 or mid == n-1 are checked in the binary search functions).

Strengths:

  • The solution is well-implemented and follows best practices.
  • The use of binary search for both the first and last occurrences is efficient and correctly implemented.
  • The code is clean and easy to understand.

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2 participants