The base movement logic is pretty mechanical once you map out the heading rotations.
Start by clarifying requirements and edge cases, then outline a clean object-oriented design with a Grid class and Rover class. Walk through the algorithm step-by-step, emphasizing collision detection and sequential processing, and finally discuss testing and potential optimizations.
Pro tip: Mention that you would write unit tests for edge cases like rovers colliding at the same time or moving off-grid, and consider using a set for O(1) occupied cell lookups to keep the simulation efficient.
Ask questions to confirm grid dimensions, input format, command characters, and behavior for invalid moves. Clarify whether rovers can occupy the same cell initially and how collisions are handled.
Define a Grid class to track occupied cells and boundaries, and a Rover class with position, heading, and methods to turn and move. Use a set for occupied cells to enable O(1) collision checks.
For each rover, parse its initial position and heading, then process each command character sequentially. For 'M', compute the next cell; if within bounds and unoccupied, update position and occupied set; otherwise ignore.
Process rovers one by one, updating the grid's occupied cells after each rover finishes. Collect final positions and headings, then output them in the required format.
Write unit tests for edge cases: off-grid moves, collisions, multiple rovers, and boundary conditions. Discuss time complexity (O(N*M) for N rovers and M commands) and potential optimizations like early termination.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.