Implement a Removable Nested-List Iterator
Last updated: July 14, 2026
Quick Overview
Implement an iterator that flattens a nested list structure, allowing for the removal of elements during iteration.
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July 14, 202626
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Implement an iterator that flattens a nested list structure, allowing for the removal of elements during iteration.
This question is often asked during technical screens to evaluate a candidate's understanding of data structures and their ability to implement iterators. The interviewer is looking for a clear demonstration of coding skills, problem-solving ability, and understanding of iterator patterns in Python.
What the Interviewer Expects
- Demonstrates a clear understanding of nested list structures.
- Provides a well-structured iterator implementation.
- Explains how to handle element removal during iteration.
- Includes edge cases and error handling in the solution.
- Discusses time and space complexity of the solution.
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you modify your solution to handle large datasets?
- Can you explain the iterator protocol in Python?
- What are the potential pitfalls of your implementation?
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Requirements
We need to implement a nested list iterator that can traverse a list containing integers and other nested lists. The iterator should support the methods next() to get the next integer and remove()...
High-Level Design
The iterator will maintain a stack to keep track of the current position in the nested list. This stack will allow us to backtrack when we encounter nested lists. We will also maintain a reference to ...