Optimize compression for in-place
Last updated: July 20, 2025
Quick Overview
Given a string of characters, implement an in-place algorithm to optimize the compression of the string such that consecutive repeated characters are replaced by a single instance of the character followed by the count of repetitions. The function should return the length of the compressed string and modify the input string to reflect the compressed form. For example, given the input "aabbcc", the output should be 6, and the modified string should be "a2b2c2".
Netflix
July 20, 20258
1
510 solved
Given a string of characters, implement an in-place algorithm to optimize the compression of the string such that consecutive repeated characters are replaced by a single instance of the character followed by the count of repetitions. The function should return the length of the compressed string and modify the input string to reflect the compressed form. For example, given the input "aabbcc", the output should be 6, and the modified string should be "a2b2c2".
Coding interviews at Netflix focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.
What the Interviewer Expects
- Quickly identify the optimal approach and its theoretical basis
- Handle complex algorithm design with multiple interacting components
- Write concise, elegant code under time pressure
- Prove correctness of your approach and discuss alternative solutions
- Optimize beyond the obvious: discuss constant factor improvements
- Address follow-up variations and explain how the solution generalizes
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
- Can you optimize the space complexity of your solution?
- How would you test this solution thoroughly?
- What happens if the input contains duplicates?
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Practice DSA ProblemsSample Answer
Problem Analysis
The problem at hand involves compressing a string in-place by replacing consecutive repeated characters with a single instance of the character followed by the count of repetitions. The appropriate pa...
Approach
- Initialize two pointers:
read(to read through the string) andwrite(to write the compressed form). Setwriteat the start of the string. - Use a loop to traverse the string using
read. F...