Design a Set of Stacks with `popAt`

Data Structures
Hard
Adobe
103K views

Implement a `SetOfStacks` data structure where a new stack is created once the previous one exceeds capacity. Implement a `popAt` operation that performs a pop on a specific sub-stack.

Why Interviewers Ask This

Adobe evaluates this question to assess a candidate's ability to design scalable data structures that handle memory fragmentation and edge cases. It tests understanding of array-based stack implementations, pointer manipulation across sub-structures, and the critical trade-off between strict capacity enforcement versus maintaining structural integrity during partial pops.

How to Answer This Question

1. Clarify requirements: Ask if popAt should shift elements from subsequent stacks to maintain balance or simply remove from the target index. 2. Define core structure: Propose an ArrayList or List of Stacks where each internal stack has a fixed capacity. 3. Implement push logic: Explain how to check if the current top stack is full before adding; if full, instantiate a new stack. 4. Design popAt logic: Detail retrieving the specific sub-stack, performing the pop, and handling the case where the popped stack becomes empty (optional cleanup). 5. Discuss complexity: Analyze time complexity for push (O(1)) and popAt (O(N) worst-case if shifting required), noting Adobe values efficiency in high-throughput environments like Creative Cloud.

Key Points to Cover

  • Explicitly defining the behavior when a sub-stack becomes empty after a pop
  • Clarifying whether elements must be shifted to maintain fullness constraints
  • Demonstrating awareness of O(1) vs O(N) trade-offs in the popAt implementation
  • Handling boundary conditions like invalid indices or empty collections gracefully
  • Connecting the solution to real-world scalability needs typical of Adobe products

Sample Answer

To solve this, I would first define a SetOfStacks class containing a list of individual Stack objects, each with a defined capacity. For the push operation, I'd check if the last stack in the list has reached its limit. If it has, I create a new Stack instance and append it to the list before pushing the element. This ensures we never exceed the capacity constraint. The popAt operation is more complex. Given an index, I access the corresponding sub-stack directly. If the index is out of bounds, I return null. Otherwise, I perform a standard pop on that specific stack. A crucial discussion point here is whether to shift elements down. In many real-world scenarios, especially at Adobe where performance matters, we might avoid shifting to keep O(1) access, accepting that lower stacks might become sparse. However, if the requirement is to keep stacks as full as possible, I would implement a recursive shift-down mechanism that moves the bottom element of the next stack up to fill the gap. I'd also consider edge cases, such as popping from an empty set or accessing a negative index. Finally, I'd analyze the space complexity, which is linear relative to the total number of elements, and time complexity, highlighting that while push is constant time, popAt could be linear if shifting is mandatory.

Common Mistakes to Avoid

  • Failing to ask about the shifting requirement, leading to an incorrect assumption about data movement
  • Implementing a single large array instead of a list of lists, missing the 'Set' concept entirely
  • Ignoring edge cases where the requested index exceeds the number of available sub-stacks
  • Not considering the memory overhead of creating too many small stack objects without a threshold

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