← Hudson River Trading Interview Insights
I started with the template parameters and immediately second-guessed whether to use full specialization or just let the compiler handle it through partial specialization.
Start by clarifying requirements and constraints, then propose a template class that abstracts the underlying map via a policy or template template parameter, ensuring a consistent interface. Discuss how to handle key/value type combinations using template specialization or SFINAE, and outline the implementation of core operations with attention to edge cases like empty containers.
Pro tip: Emphasize that you would use a template template parameter to parameterize the container type, which avoids code duplication and makes the wrapper extensible to other map-like containers. Also, mention that you would provide a uniform iteration interface by exposing begin/end and ensuring const-correctness.
Ask about expected usage patterns, performance requirements, and whether the underlying container should be selectable at compile-time or runtime. Confirm that key and value types are limited to int and string, and that the interface must be consistent.
Propose a class template with parameters for key type, value type, and the underlying container (using a template template parameter). Define the public API: insert/update, lookup, remove, size, and iteration methods.
Discuss how to support all four key-value combinations (int-int, int-string, string-int, string-string) without code bloat. Consider using partial specialization or a traits class to map types to appropriate comparators/hash functions.
Outline the implementation of each method, ensuring they delegate to the underlying container. Address empty container behavior for lookup (return optional or throw), remove (no-op or return bool), and iteration (empty range).
Explain how you maintain identical semantics across std::map and std::unordered_map, such as ordering guarantees (or lack thereof) and complexity. Discuss trade-offs like performance vs. interface simplicity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.