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I started with recursion and it worked fine for the basic cases.
Start by clarifying the requirements and edge cases, then outline a recursive depth-first traversal that builds the path as it descends. For each leaf value, append the path and value to the result, then serialize the flat map to a string (e.g., JSON).
Pro tip: Mention that you would use an explicit stack or recursion with a path array to avoid string concatenation overhead, and discuss how to handle special characters in keys (e.g., escaping dots or brackets) to ensure unambiguous paths.
Ask about the expected output format (e.g., JSON string), handling of null values, empty objects/arrays, and special characters in keys. Confirm the notation for arrays (e.g., [0]) and objects (e.g., .key).
Decide between recursive DFS or iterative stack-based traversal. Discuss trade-offs: recursion is simpler but may risk stack overflow for very deep structures; iterative avoids that but is more complex.
Traverse the structure, maintaining the current path. For objects, append '.key'; for arrays, append '[index]'. When a leaf (non-object/array) is reached, add the path-value pair to the result map.
Convert the flat map to a string, typically using JSON.stringify. Ensure the output is a valid single-level JSON object with string keys and values.
Walk through examples, including nested arrays and objects, and verify the output. Discuss potential pitfalls like circular references (if applicable) and how to handle them.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.