The core problem is pretty manageable if you just track state carefully.
Start by clarifying requirements and edge cases, then design a clean object-oriented solution with a Robot class encapsulating state and a command parser. Implement commands with validation to prevent invalid moves, and test thoroughly with edge cases like boundaries and unplaced robot.
Pro tip: Demonstrate production-quality thinking by discussing how you'd extend the design for new commands or grid features, and mention the importance of logging and error handling for invalid commands.
Ask about grid size, command format, behavior for invalid commands, and whether the robot can be placed multiple times. Confirm that the robot must ignore commands that would cause it to fall off.
Create a Robot class with position (x, y), direction, and a placed flag. Define an enum for directions and methods for each command. Consider a separate parser to convert text commands into command objects.
For each command, validate preconditions (e.g., robot must be placed for MOVE, LEFT, RIGHT, REPORT). For MOVE, compute the next position and check grid boundaries before updating. Ignore invalid commands silently or log them.
Write unit tests covering: placing at corners, moving to boundaries, rotating through all directions, commands before placement, invalid commands, and multiple PLACE commands. Also test a sequence of commands from the problem statement.
Mention how the design supports adding new commands (e.g., BACK, JUMP) or obstacles. Discuss trade-offs between simple if-else parsing and a command pattern, and between mutable state and immutable updates.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This is the part that actually requires some thought.
Start by clarifying requirements and assumptions, then propose a data structure for robot positions and a collision detection mechanism. Walk through the command processing flow, highlighting how collisions are checked and handled, and discuss edge cases and trade-offs.
Pro tip: Emphasize that collision detection should be atomic and consistent, and consider using a position map for O(1) lookups. Mention that ignoring invalid commands is a design choice that maintains system integrity without partial state changes.
Ask about grid size, number of robots, command format, and whether robots can be removed. Confirm that collision means two robots in the same cell at the same time.
Propose a map from robot ID to position and a reverse map from position to robot ID for O(1) collision checks. Discuss trade-offs of alternative structures like a 2D array.
For each command, compute the target position and check if it's occupied by another robot. If occupied, ignore the command; otherwise, update both maps.
Consider commands for non-existent robots, PLACE to an occupied cell, MOVE off the grid, multiple robots attempting to move to the same cell, and robots moving into each other's positions simultaneously.
Talk about performance, concurrency (if applicable), and how to extend to more complex collision rules (e.g., swapping positions).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.