Completed

[allurkarsneha]

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[super30admin]

Binary Tree Level Order Traversal (Problem 1- Leetcode102.py)

Strengths:

• Your solution correctly implements BFS for level order traversal
• Good use of deque for O(1) popleft operations
• The code is clean and follows Python conventions
• You correctly handle the edge case of an empty tree
• The algorithm matches the optimal approach

Areas for Improvement:

1. Remove commented-out code: The commented DFS approach should be removed for cleaner code. If you want to keep it as an alternative, put it in a separate function or commit.
2. Add type hints: Python supports type hints which would make the code more professional:

   def levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]:

3. Consider edge case handling: While your solution handles root is None, you could also handle the case where the input might not be a TreeNode.
4. Variable naming: temp could be renamed to level or current_level for better readability.

VERDICT: PASS

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Course Schedule (Problem 2- Leetcode207.py)

Great work! Your solution using Kahn's algorithm (BFS-based topological sort) is a clean and efficient alternative to DFS-based cycle detection. Here are some suggestions:

1. Fix the time complexity comment: Change #Time Complexity: O(n) to #Time Complexity: O(V + E) or #Time Complexity: O(numCourses + len(prerequisites)) to accurately reflect the algorithm's complexity.

2. Remove redundant check: The if not q: return False check is unnecessary because if the queue is empty, the while loop won't execute and the function will naturally return False at the end.

3. Consider using a defaultdict: Instead of checking if pr[1] not in graph, you could use from collections import defaultdict and graph = defaultdict(list) for cleaner code.

4. Good practices observed:

   • Proper use of deque for O(1) popleft operations
   • Early termination when all courses are processed
   • Clear variable naming and good code organization

VERDICT: PASS