Completed Tree-1

[RitikaC1]

No description provided.

[super30admin]

Validate Binary Search Tree (Problem1.py)

Strengths:

• Clean, readable code with descriptive variable names
• Correct implementation of the min/max bound approach
• Good documentation with time/space complexity comments
• Proper handling of None values for bounds
• Efficient early termination when BST property is violated

Areas for Improvement:

• The solution could benefit from a brief comment explaining the min/max bound strategy
• Consider adding type hints for better code documentation
• The solution is already optimal for this problem

VERDICT: PASS

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Construct Binary Tree from Preorder and Inorder Traversal (Problem2.py)

Strengths:

• Clean and readable implementation that follows the standard algorithm
• Good use of Python dictionary comprehension for building the lookup map
• Proper base case handling for empty subtrees
• Well-commented with time/space complexity documentation
• Correctly uses an instance variable for tracking preorder index across recursive calls

Areas for Improvement:

• Consider renaming self.index to self.preorder_idx for better clarity about what index is being tracked
• Could add type hints for better code documentation (e.g., inordermap: dict[int, int])
• The solution is functionally equivalent to the reference and demonstrates solid understanding of the problem

The solution is correct, efficient, and well-implemented. It matches the reference solution's approach and complexity.

VERDICT: PASS