Kept narrating my thinking out loud the whole time, which I think actually helped me stay on track.
Start by clarifying requirements: input format, whether recipes can be added/removed, and desired output (aggregated list or map). Then design a data model with Recipe and Ingredient classes, and implement a ShoppingCart that aggregates quantities by ingredient name, handling units and merging duplicates. Discuss trade-offs between simple map-based aggregation and more complex unit conversion.
Pro tip: Proactively ask about unit conversions and duplicate ingredients with different units—this shows you think about real-world edge cases and data integrity. Also, mention that you'd write unit tests for aggregation logic to ensure correctness.
Ask about input format (list of recipes with ingredients and quantities), whether recipes can be added/removed dynamically, and expected output (e.g., aggregated list or map). Confirm if unit conversion is needed.
Define classes/structs for Ingredient (name, quantity, unit) and Recipe (name, list of ingredients). Consider using a map or dictionary for efficient aggregation.
Iterate through selected recipes, accumulate quantities per ingredient name. Handle unit consistency: either normalize units or group by (name, unit) and convert if possible.
Address duplicate ingredients with different units, zero quantities, and empty recipes. Decide on behavior for incompatible units (e.g., throw error or keep separate).
Write unit tests for aggregation, including edge cases. Discuss time/space complexity (O(n) where n is total ingredients) and potential optimizations like caching.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.