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The code for Root-to-leaf Sum II is well-structured and uses a clear recursive DFS with backtracking.
The solution correctly handles the base case and checks for leaf nodes.
The use of list(path) to create a copy when appending to the result is correct to avoid reference issues.
Areas for Improvement:
Complexity Analysis: The time and space complexity annotations are incorrect. For time complexity, it should be O(n^2) in the worst case (for a balanced tree, it would be O(n log n) due to copying paths, and for a skewed tree O(n^2)). The space complexity should account for the recursion stack (O(h)) and the storage for the result (which can be O(n*h) in the worst case). Please review complexity analysis for recursive tree problems.
Irrelevant Code: The SymmetricTree solution is included in the same submission. While it might be part of a larger codebase, for the purpose of this evaluation, only the relevant solution (PathSum2.py) should be considered. Ensure that you submit only the code for the problem being evaluated.
Minor: The variable name currSum is better than currNum (as in the reference), but consistency is key. Also, consider using a mutable data structure (like a list) for the path to avoid copying until necessary, which you are already doing.
Overall, the solution is correct and efficient. Just pay attention to complexity analysis and ensure only relevant code is submitted.
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