done

[dewann]

No description provided.

[super30admin]

Binary Tree Level Order Traversal (bfs)

Strengths:

• Correctly implements BFS level-order traversal
• Good variable naming conventions
• Proper handling of edge cases (null root)
• Clean separation of level processing with size tracking
• Comment indicates awareness of time/space complexity

Areas for Improvement:

• The comment //TC On . SC On is unclear - consider writing "Time Complexity: O(n), Space Complexity: O(n)"
• Inconsistent coding style in null checks (null != e.left vs e.left) - prefer the more idiomatic e.left != null
• Could add curly braces for better readability even in single-line if statements

VERDICT: PASS

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Course Schedule (courseSchedule)

Strengths:

1. Correctly implements the topological sort/BFS approach - a solid algorithm choice
2. Good time and space complexity matching the reference solution
3. Clear variable naming and logical structure
4. Proper use of LinkedList as Queue and HashMap for adjacency list

Areas for Improvement:

1. The early return if (count == numCourses) return true; inside the BFS loop is redundant since the final return statement already handles this case. This adds unnecessary complexity.
2. Consider using an ArrayList-based adjacency list instead of HashMap - it would eliminate null checks and provide O(1) access
3. The initial check if (count == numCourses) return true; before the while loop is unnecessary (if all courses have indegree 0, the while loop won't execute and will return true anyway)
4. Could add comments explaining the algorithm approach for better readability

Minor Issue:
When prerequisites is empty, the HashMap remains empty, but the BFS loop will still work correctly since get(curr) returns null for all courses.

VERDICT: PASS