Python Interview with a FAANG engineer.
Counting Black Holes with Quadtree Binary Search
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Interview Summary
Problem type
Counting Black Holes with Quadtree Binary Search
Interview question
Given the bottom-left and top-right coordinates of a 2D region of space (with coordinate values ranging from 0 to 1,000), and a black-box helper function blackhole_present(bottom_left, top_right) that returns true if one or more black holes exist within a given sub-region, design an efficient algorithm to count the total number of black holes in the region. The challenge is that each call to the helper function is expensive, so a brute-force, cell-by-cell scan is impractical; the solution must minimize the number of calls using a divide-and-conquer, quad-search strategy.
Interview Feedback
Feedback about Distinguished Dromedary (the interviewee)
- Advance this person to the next round?
- Yes
- How were their technical skills? 4/4
- How was their problem solving ability? 4/4
- What about their communication ability? 4/4
Strengths and what went well:
Communication:
- At all time I could understand your thought process. You did very well in explaining the different approaches for a solution as well as pros and cons. You did a good job in writing your thinking on the IDE for the interviewer to see as well as going over the examples, edge cases, etc...
- You received my feedback candidly and applied it right away, as well as asking clarifying questions.
Problem Solving
- You did an excellent progression from proposing a brute force solution to an optimized binary search.
- Great job in figuring out the particular quad-binary search variant as well as the formula for dividing the coordinates in squares
- You proactively identified the base cases of the recursive solution and how to go about counting the black holes
Coding
- Code was syntactically correct, extensible, and well formatted.
- You dry ran the solution with example inputs to demonstrate it works and has no bugs
Areas of Improvement:
Communication: Write down the approach of every proposed solution concisely.
Problem solving:
- Review problems that have complex recursive branching and their time and space complexity.
- Ask clarifying questions more thoroughly.
Coding:
- Add a validation step to discard bad inputs.
- Add minimal comments to the code.
Advise for Future interviews
- Track practice on a spreadsheet and identify areas for improvement.
- Be proactive in asking clarifying questions about variables, edge cases, expected outcomes, etc...
Interview Transcript
Ferocious Lightning:
Hello. Hi, can you hear me?
Distinguished Dromedary:
Good, how are you?
Ferocious Lightning:
Not bad. Let's proceed.
Distinguished Dromedary:
Sure, I'm a software engineer. I've been working for about 3.5 years now. I'm focusing on time management and edge cases for technical problems.
Ferocious Lightning:
Okay, let's go straight into a hard problem.
Problem Details
Given: bottom-left and top-right coordinates with black holes present. Task: Design an efficient algorithm using divide-and-conquer to count them.
Proposed Solution
- Base Cases:
- Return 0 if
blackhole_presentreturns false. - Return 1 if coordinates are the same.
- Return 0 if
- *Divide the Region into Quadrants:
- Recursively call
count_blackholesfor four quadrants.
- Recursively call
- Summation: Return total count from all four quadrants.
Time and Space Complexity
- Time Complexity: O(m log n)
- Space Complexity: O(M)
Final Remarks
- Regular practice and understanding of algorithm patterns is crucial.
Thank you for your feedback: Keep practicing!