Completed BFS-1

[Sanket-S-Kale]

No description provided.

[super30admin]

Binary Tree Level Order Traversal (Problem1-DFS.py)

Strengths:

• Excellent use of DFS as an alternative approach to the classic BFS solution
• Clear and comprehensive comments explaining each step
• Good variable naming (e.g., level, result)
• Proper handling of edge cases (empty tree returns empty list)
• Correct use of Python's nonlocal keyword

Areas for Improvement:

• The solution is already quite optimal. One minor suggestion: you could consider using result.append([]) instead of result.append([root.val]) to be more consistent with the pattern, then append the value separately. This would make the code slightly more uniform.
• The time complexity comment could be more specific about visiting each node exactly once.

Overall, this is a solid solution that demonstrates a good understanding of tree traversal and recursive problem-solving.

VERDICT: PASS

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Course Schedule (Problem1.py)

1. Wrong Problem: You submitted a solution for "Binary Tree Level Order Traversal" but the problem assigned was "Course Schedule". Please ensure you read and solve the correct problem.

2. Missing Solution: There is no solution for the Course Schedule problem. You need to implement cycle detection in a directed graph using either DFS or Kahn's algorithm (BFS topological sort).

3. What you should do:

   • Build an adjacency list from prerequisites
   • Use DFS with three states (unvisited, visiting, visited) to detect cycles
   • Or use BFS with in-degree calculation (Kahn's algorithm)
   • Return false if a cycle is detected, true otherwise

4. Code Quality (for the submitted problem): Your BFS solution for level order traversal is well-structured with clear comments explaining time/space complexity. The logic is correct for that problem.

VERDICT: NEEDS_IMPROVEMENT