Completed s30 Trees-2

[prenastro]

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[super30admin]

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

Strengths:

• Correct algorithm implementation with right subtree built before left subtree
• Good use of hashmap for O(1) index lookups
• Clean, readable code with descriptive variable names
• Proper handling of base case (left > right returns None)
• Good comment explaining the key insight about building right subtree first

Areas for Improvement:

• The comment about time/space complexity at the end of the file seems like leftover documentation that should be removed or properly formatted
• Consider adding type hints for better code documentation
• The solution could benefit from a brief docstring explaining the approach

The solution is functionally correct and efficient. It's a solid implementation that demonstrates understanding of the problem's core concept.

VERDICT: PASS

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Sum Root to Leaf Numbers (sumroottoleaf.py)

Strengths:

• Clean and elegant recursive implementation
• Good variable naming (current_sum is descriptive)
• Proper handling of edge cases (null nodes)
• Well-documented time and space complexity
• Concise code that is easy to understand

Areas for Improvement:

• The solution is already well-optimized. One minor suggestion: could consider adding a type hint for better code documentation (e.g., def dfs(node: Optional[TreeNode], current_sum: int) -> int)

Overall, this is a solid implementation that matches the quality of the reference solution.

VERDICT: PASS