Completed BFS-1

[RitikaC1]

No description provided.

[super30admin]

Binary Tree Level Order Traversal (Problem1.py)

Excellent work! Your solution is correct, efficient, and well-written. Here are some highlights:

Strengths:

• Correct handling of the edge case (empty tree)
• Using deque for O(1) popleft operations is a great choice
• Clean, readable code with good variable naming
• Proper type hints (Optional[TreeNode], List[List[int]])
• Good comments documenting time and space complexity

Minor suggestions for improvement:

• The comment at the top has a typo: "COMPELXITY" should be "COMPLEXITY"
• You could add a brief docstring to the levelOrder method explaining what it does
• Consider adding the import statement for deque (from collections import deque) at the top, though this is often handled by the platform

Overall, this is a solid implementation that demonstrates a clear understanding of BFS traversal.

VERDICT: PASS

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Course Schedule (Problem2.py)

Great work! Your solution using Kahn's algorithm is a clean and efficient alternative to the DFS-based approach in the reference solution. Both approaches have the same time and space complexity, so choosing between them often comes down to personal preference.

Strengths:

• Correct algorithm choice for cycle detection
• Good use of BFS with deque
• Early termination when all courses are processed
• Clear comments documenting complexity

Minor improvements:

1. The if not q: return False check is redundant — if the queue is empty initially, count < numCourses, and the function will return False at the end anyway. You can remove it for cleaner code.
2. Typo: "dependencie" should be "dependency" (singular).
3. Consider simplifying by removing the early return inside the loop and just letting the final return False handle it — though your current approach is also fine and slightly more efficient.

VERDICT: PASS