Completed Trees-2

[ManasviReddy25]

No description provided.

[super30admin]

Construct Binary Tree from Inorder and Postorder Traversal (Problem1.py)

Strengths:

• Clear and comprehensive comments explaining the algorithm
• Good use of descriptive variable names
• Correct handling of the base case
• Proper understanding that right subtree must be built before left subtree when reading postorder backwards
• Efficient use of dictionary for O(1) lookups

Areas for Improvement:

• The solution is already well-optimized. One minor suggestion: you could add type hints for better code documentation (e.g., def buildTree(self, inorder: List[int], postorder: List[int]) -> Optional[TreeNode]:)
• Consider adding a check for edge cases like empty arrays, though the problem constraints guarantee non-empty inputs

Overall, this is a solid implementation that demonstrates a good understanding of the tree construction algorithm.

VERDICT: PASS

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Sum Root to Leaf Numbers (Problem2.py)

Strengths:

• Excellent documentation with time/space complexity analysis at the top
• Very clear and educational inline comments that explain the reasoning behind each step
• Clean, readable code structure
• Correct use of self.instance variables for result tracking
• Proper handling of edge cases (null root)

Areas for minor improvement:

• The solution could potentially use a default parameter or wrapper function to avoid the need for self.result initialization, but the current approach is perfectly valid
• Type hints could be added for better code documentation (e.g., root: Optional[TreeNode])

This is a high-quality solution that demonstrates solid understanding of the problem and recursive tree traversal patterns.

VERDICT: PASS