The class setup is genuinely messy to read.
First, systematically review the code to identify bugs such as incorrect edge directions, missing visited tracking, or improper data structures. Then, explain the correct graph traversal algorithm (BFS/DFS) for the road network, emphasizing how to handle directed/undirected edges and avoid infinite loops. Finally, discuss trade-offs and potential optimizations.
Pro tip: Demonstrate a methodical debugging process by walking through a small example, and mention how you would test the traversal with edge cases like disconnected components or cycles.
Review the classes (Location, Road, RoadConnection) to understand the intended graph representation, including whether edges are directed or undirected and how connections are stored.
Look for common bugs: incorrect edge direction, missing visited set causing infinite loops, off-by-one errors, or improper data structure usage (e.g., using a list instead of a set for visited).
Describe the correct BFS or DFS algorithm, including initialization, queue/stack usage, visited tracking, and handling of directed/undirected edges. Mention how to adapt for weighted edges if needed.
Compare BFS vs DFS for this scenario (e.g., shortest path vs memory), and suggest improvements like using adjacency lists for sparse graphs or bidirectional search for performance.
Walk through a small example to demonstrate the bug and the corrected traversal, and mention edge cases like cycles, disconnected graphs, or self-loops.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.