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feat(algorithms, arrays, two-sum): two sum input as bst #136
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Caution Review failedThe pull request is closed. 📝 WalkthroughWalkthroughThe PR adds a BST variant to the two-sum module with a new Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Possibly related PRs
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Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
📜 Recent review detailsConfiguration used: defaults Review profile: CHILL Plan: Pro 📒 Files selected for processing (1)
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Actionable comments posted: 0
🧹 Nitpick comments (1)
algorithms/arrays/two_sum/__init__.py (1)
67-104: Algorithm is correct. Consider a minor optimization.The BFS implementation correctly finds pairs that sum to the target. The logic properly handles edge cases and prevents using the same node twice.
Optional improvement: Lines 100-101 enqueue children without checking for None, which adds unnecessary values to the queue. Consider this refinement:
🔎 Optional optimization to avoid enqueueing None values
# if not, add the value seen.add(curr.data) # enqueue the left and right children of the current node - queue.append(curr.left) - queue.append(curr.right) + if curr.left: + queue.append(curr.left) + if curr.right: + queue.append(curr.right) # if we reach here, we have not found two nodes that add up to the target return FalseThis reduces queue pollution and eliminates the None check at line 91, making the BFS slightly more efficient.
📜 Review details
Configuration used: defaults
Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (17)
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📒 Files selected for processing (3)
algorithms/arrays/two_sum/README.mdalgorithms/arrays/two_sum/__init__.pyalgorithms/arrays/two_sum/test_two_sum.py
🧰 Additional context used
🧬 Code graph analysis (1)
algorithms/arrays/two_sum/test_two_sum.py (1)
algorithms/arrays/two_sum/__init__.py (3)
two_sum(6-32)two_sum_with_pointers(35-64)two_sum_find_target(67-104)
🪛 LanguageTool
algorithms/arrays/two_sum/README.md
[style] ~81-~81: Using many exclamation marks might seem excessive (in this case: 13 exclamation marks for a text that’s 3551 characters long)
Context: .../two_sum_4_input_is_bst_solution_1.png)

🔇 Additional comments (7)
algorithms/arrays/two_sum/README.md (1)
38-110: LGTM! Comprehensive documentation for the BST variant.The new section is well-structured with clear problem statement, constraints, examples, step-by-step algorithm, and complexity analysis. The markdown formatting and organization align well with the existing documentation style.
Note: The static analysis warning about excessive exclamation marks is a false positive—these are from markdown image syntax
![...], not prose.algorithms/arrays/two_sum/__init__.py (2)
1-3: LGTM! Import changes support the new functionality.The added imports (
Deque,Set,deque,BinaryTreeNode) are all used in the newtwo_sum_find_targetfunction.
64-64: Good defensive programming fix.Adding an explicit
return []ensures the function contract is clear when no pair is found.algorithms/arrays/two_sum/test_two_sum.py (4)
2-9: LGTM! Imports support the test refactoring.The new imports enable parameterized testing and BST functionality testing, which improves test maintainability.
11-29: Well-structured test data.Centralizing test cases as constants improves maintainability and makes it easy to add new test scenarios. The BST test cases cover good variety including single node, linear trees, and balanced trees.
33-43: Excellent refactoring to parameterized tests.This approach eliminates code duplication and makes it easier to add new test cases. The type hints on test parameters enhance readability.
45-53: BST test implementation is correct.The test properly constructs a BST using
insert_nodeand filters out None values. The algorithm is tested with various tree structures, including edge cases like single-node trees and linear trees.
Describe your change:
Algorithm to check if two values in a binary search tree add up to a target value.
Checklist:
Fixes: #{$ISSUE_NO}.Summary by CodeRabbit
New Features
Bug Fixes
Tests
✏️ Tip: You can customize this high-level summary in your review settings.