Completed BFS-1

[pratikb0501]

No description provided.

[super30admin]

Level Order Traversal in Binary tree (Problem_1.py)

Strengths:

• Clean, readable implementation that matches the reference solution's approach
• Good use of Python's deque for efficient queue operations
• Proper handling of edge cases (empty tree)
• Well-commented code with alternative DFS approach shown

Areas for Improvement:

• The line result.append(list(temp)) is slightly redundant since temp is already a list created with temp = []
• Could add type hints for better code documentation (e.g., -> List[List[int]])
• The DFS alternative code has a minor issue: it uses Optional[TreeNode] and List[List[int]] imports that aren't shown in the imports section

Overall, this is a solid implementation that correctly solves the problem with good code quality.

VERDICT: PASS

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Scheduling Courses (Problem_2.py)

Strengths:

• Clean implementation of Kahn's algorithm for topological sorting
• Proper handling of edge cases (empty prerequisites, no dependencies)
• Good variable naming and code organization
• Efficient use of deque for BFS traversal
• Correctly decrements courseRemain and checks for completion

Areas for Improvement:

• The early return check if courseRemain == 0: return True could be moved outside the loop after completion (though current implementation works correctly)
• Consider adding comments explaining the topological sort approach for better maintainability
• Could add input validation for edge cases like empty prerequisites list (though it handles this correctly)

The solution demonstrates a solid understanding of graph algorithms and correctly solves the problem.

VERDICT: PASS