Done Tree-3

[RitikaC1]

No description provided.

[super30admin]

Path Sum II (Problem1.py)

Strengths:

1. Correct algorithm implementation with proper backtracking
2. Clean code structure with good separation of concerns
3. Good use of creating a copy (list(path)) when adding to results to avoid reference issues
4. Well-commented code with base/logic sections clearly marked

Areas for Improvement:

1. Time and Space Complexity Analysis: Your complexity analysis is inaccurate. The actual time complexity is O(n^2) in worst case (skewed tree) due to path copying, not O(H). Space complexity is also O(n^2) for storing all valid paths, not just O(H).
2. Consider adding type hints for better code documentation (e.g., def pathSum(self, root: Optional[TreeNode], targetSum: int) -> List[List[int]])
3. The solution is already quite efficient; no significant optimizations needed for this problem

VERDICT: PASS

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Symmetric Tree (Problem2.py)

Strengths:

1. Clean, readable code with appropriate comments
2. Correct recursive logic for symmetry checking
3. Better space complexity (O(h)) compared to the reference solution's O(n)
4. Proper base case handling for null nodes

Areas for Improvement:

1. Consider adding type hints for better code documentation (e.g., def isSymmetric(self, root: Optional[TreeNode]) -> bool)
2. The comment mentions "TIME COMPELXITY" with a typo - should be "TIME COMPLEXITY"
3. Could add a docstring explaining the approach for future maintainability

Overall, this is a solid solution that demonstrates good understanding of recursion and tree traversal. The space complexity advantage over the iterative approach is notable.

VERDICT: PASS