Seemed simple at first and I jumped straight to using a Map keyed by some unique property.
Start by clarifying the definition of 'duplicate' (e.g., based on object identity or specific properties) and the desired output (e.g., preserve order, return new array). Then discuss multiple approaches, comparing time/space complexity and trade-offs, and finally recommend the most suitable one for the given context.
Pro tip: Mention that using a hash-based approach is typically O(n) time, but if objects are large or have many properties, consider hashing only a subset of properties or using a custom hash function to improve performance.
Ask whether duplicates are defined by object identity or by specific properties, and whether the original order should be preserved.
Mention O(n^2) solutions like nested loops with deep equality checks, and their inefficiency for large arrays.
Describe hash-based approaches: using a Set with JSON.stringify for simple cases, or a Map with a custom key derived from selected properties.
Compare time and space complexity, discuss limitations (e.g., JSON.stringify order sensitivity, handling nested objects), and consider edge cases.
Choose the best approach based on constraints, and mention potential optimizations or alternative data structures.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.