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Completed Binary Search 2#2351

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Completed Binary Search 2#2351
RitikaC1 wants to merge 1 commit into
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RitikaC1:master

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@RitikaC1 RitikaC1 commented Jun 8, 2026

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Find the First and Last Position of an Element in given Sorted Array (problem1.py)

Strengths:

  1. Excellent approach of using a single helper function with a boolean flag instead of two separate functions - this reduces code duplication
  2. Smart optimization of starting the second binary search from firstValue instead of the beginning of the array
  3. Clean, readable code with appropriate comments
  4. Correctly handles all edge cases including empty arrays
  5. Good variable naming throughout

Areas for Improvement:

  1. The comment about facing hiccups with logic could be more specific about what was learned
  2. Consider adding type hints for better code documentation (e.g., def findTarget(...) -> int)
  3. The variable name high could be more descriptive as high_index or right

Minor Suggestions:

  • Could add a docstring to the helper function explaining its parameters
  • The bestFound variable name is clear, but result or answer might be slightly more conventional

Overall, this is a solid solution that demonstrates good understanding of binary search and shows creative thinking in optimizing the approach.

VERDICT: PASS


Find the Minimum Element in a Rotated Array(sorted) (problem2.py)

Strengths:

  • Clean, readable implementation with good variable naming
  • Well-documented with time/space complexity comments
  • More concise than the reference solution while maintaining correctness
  • Correctly uses low<high condition (strict inequality) which is appropriate for this approach
  • Efficiently handles edge cases without extra checks

Areas for Improvement:

  • The solution is already optimal for this problem. The binary search approach used is the standard and most efficient method.
  • Could add a brief comment explaining why comparing nums[mid] with nums[high] helps identify the pivot point.

Comparison to Reference:

  • The student's solution is more elegant and concise than the reference solution
  • Both achieve O(log n) time and O(1) space complexity
  • The student's approach is actually simpler - it converges to the minimum by eliminating the sorted half, rather than explicitly checking for the pivot element

VERDICT: PASS


Find the Peak Element (problem3.py)

Strengths:

  • Correctly implements binary search for peak finding
  • Excellent edge case handling for first and last elements
  • Clean, readable code with appropriate comments
  • Proper documentation of time/space complexity
  • Acknowledges the difficulty faced with edge cases, showing good problem-solving awareness

Areas for Improvement:

  • The solution is already well-optimized. Minor style improvements could include:
    • Using n variable to store len(nums) for slightly better readability (as shown in reference)
    • Consider adding a docstring that explains the algorithm approach for future readers

Note: The student's solution is functionally equivalent to the reference solution and demonstrates a solid understanding of the binary search approach for this problem.

VERDICT: PASS

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