BFS-1 Completed

[prattiiksha]

No description provided.

[super30admin]

Level Order Traversal in Binary tree (levelOrderTraversal_102.cpp)

Strengths:

• Clean, readable implementation that matches the standard BFS approach for level order traversal
• Proper handling of edge cases (empty tree)
• Good variable naming conventions
• Comments indicating complexity analysis
• Correctly clears the path vector after each level to ensure proper separation of levels

Areas for Improvement:

• Consider using path.clear() followed by path.shrink_to_fit() or simply creating a new empty vector each iteration for slightly better memory management, though this is minor
• Could add comments explaining the algorithm logic for better documentation
• The solution is functionally equivalent to the reference and doesn't need any changes

VERDICT: PASS

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Scheduling Courses (course_scheudle_207.cpp)

Strengths:

• Good choice of algorithm (Kahn's algorithm for topological sort)
• Proper use of data structures (queue, unordered_map, inorder vector)
• Handles edge cases like empty prerequisites and courses with no prerequisites

Areas for Improvement:

1. Critical Bug: The inner loop for(auto [key,val]: map) should be replaced with direct access for(int neighbor : map[node]). This is the main correctness issue.
2. Efficiency: The current map iteration inside the while loop is O(N) per node. Direct access would be O(degree of node).
3. Code Clarity: Consider renaming variables for better readability (e.g., q → queue, count → completedCourses).
4. Logic Simplification: The count increment logic is duplicated - should only increment when a course is completed (when popped from queue), not when pushed.

Corrected approach:

while(!q.empty()) {
    int node = q.front();
    q.pop();
    for(int neighbor : map[node]) {
        inorder[neighbor]--;
        if(inorder[neighbor] == 0) {
            q.push(neighbor);
            count++;
        }
    }
}

VERDICT: NEEDS_IMPROVEMENT