The problem description was a bit cryptic going in.
First, clarify the '361' problem constraints and expected input/output, as the description is ambiguous. Then, outline a solution that handles low-level bytecode or memory constraints, focusing on efficiency and correctness. Discuss trade-offs and potential optimizations.
Pro tip: Demonstrate familiarity with Meta's emphasis on scalable systems by discussing how your solution would perform under heavy load and how you'd test edge cases.
Ask clarifying questions to understand the exact constraints, input format, and expected output of the '361' problem. Confirm whether it involves bytecode manipulation, memory limits, or specific algorithmic challenges.
Describe the overall strategy, such as using a specific data structure or algorithm that meets the low-level requirements. Mention any assumptions and why they are reasonable.
Walk through the steps of your algorithm, explaining how it handles the constraints. Use pseudocode or clear verbal description, focusing on efficiency and correctness.
Discuss time and space complexity, and any trade-offs made (e.g., speed vs. memory). Explain how your solution scales and potential bottlenecks.
Propose test cases, including edge cases, and explain how you would verify the solution's correctness and performance.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.