Implement Adjacent-Line Uniq
Last updated: July 13, 2026
Quick Overview
Implement a function that removes adjacent duplicate elements from a list, ensuring that only unique elements remain in sequence.
Vanta
July 13, 20264
0
60 solved
Implement a function that removes adjacent duplicate elements from a list, ensuring that only unique elements remain in sequence.
This question is typically asked during the onsite interview round for a software engineering position at Vanta to assess the candidate's problem-solving skills and coding proficiency. The interviewer evaluates the candidate's ability to think critically about algorithms, data structures, and edge cases while implementing a solution in real-time.
What the Interviewer Expects
- Clearly explain the approach to solving the problem.
- Implement the solution in a clean and efficient manner.
- Handle edge cases and provide appropriate test cases.
- Discuss the time and space complexity of the solution.
- Demonstrate good coding practices and readability.
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 a large dataset?
- Can you explain the time complexity of your implementation?
- What would you do differently if the input was a linked list instead of an array?
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Practice DSA ProblemsSample Answer
Approach
To solve the problem of removing adjacent duplicates, we can utilize a simple iteration through the list while maintaining a new list to store unique elements. As we traverse the input list, we will c...
Algorithm
Here is a Python implementation of the approach:
def adjacent_line_uniq(lst):
if not lst:
return []
unique_lst = [lst[0]] # Start with the first element
for i in range(...