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@melvinmilkiyas
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The student's solution demonstrates a good understanding of basic data structures like stacks and linked lists. Here's a detailed evaluation:

  1. Correctness:
  • Exercise_1.py (Array-based Stack): The implementation is mostly correct, handling basic stack operations (push, pop, peek, etc.) with proper checks for empty/full conditions. However, the push operation returns the stack, which isn't standard stack behavior.
  • Exercise_2.py (Linked List-based Stack): Correctly implements stack operations with proper handling of edge cases.
  • Exercise_3.py (Singly Linked List): The append, find, and remove operations are correctly implemented, though the remove operation could be more efficient by returning early after removal.
  1. Time Complexity:
  • The student has correctly identified time complexities for all operations, which is good. All stack operations are O(1) as expected, and linked list operations are O(n) where appropriate.
  1. Space Complexity:
  • Space complexity is correctly noted as O(n) for both stack implementations and the linked list.
  1. Code Quality:
  • Code is generally well-structured and readable.
  • Some minor improvements could be made:
    • In Exercise_1.py, isEmpty() could be simplified to return self.size() == 0.
    • In Exercise_3.py, the remove method could return a boolean to indicate success/failure of removal.
    • Consistent use of docstrings would improve documentation (present in Exercise_3.py but missing in others).
  1. Efficiency:
  • The solutions are efficient for the given problems.
  • One optimization could be to make the MAX size configurable in Exercise_1.py rather than hardcoding it.

Edge Cases:

  • Exercise_1.py handles stack full/empty cases well.
  • Exercise_2.py and Exercise_3.py properly handle empty list cases.
  • The remove operation in Exercise_3.py could be more efficient by returning immediately after removal rather than continuing to traverse the list.

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