Question: For this programming project from Chapter 2 3 of the Liang textbook, I implemented a heap using a generic class ` Heap ` . This
For this programming project from Chapter of the Liang textbook, I implemented a heap using a generic class Heap This heap supports adding elements, removing the root, cloning, and equality checking.
Key Features of the Program:
Heap Construction: The program constructs a heap from an array of strings. The heap is a binary heap where the root is the maximum element, as it follows a maxheap ordering property.
Cloning: The clone method ensures that when a heap is cloned, the list inside the heap is deep copied, preventing shared references between the original and the cloned heap.
Equality Check: The equals method checks if two heaps are equal by comparing the list of elements inside them.
Heap Operations:
Add Operation: When a new object is added to the heap, it is appended to the end of the list and then "bubbled up to maintain the maxheap property.
Remove Operation: The root of the heap is removed, and the last element is placed at the root and "bubbled down" to maintain the heap structure.
Issues Encountered:
Clone Implementation: Initially, I implemented a shallow copy of the heap using the default clone method. However, I quickly realized that this led to issues with shared references between the original and cloned heaps. Changing the internal list in one heap also affected the other. To fix this, I deepcopied the internal list of the heap to ensure that both the original and cloned heaps maintain independent states.
Solution: I modified the clone method to perform a deep copy of the internal ArrayList
Type Casting in Clone and Comparison: Since the heap is a generic class, casting from Object in the clone and equals methods required careful handling of type parameters. It was important to ensure type safety while casting and comparing the lists. This was addressed by using wildcard in the equals method and ensuring safe casting in the clone method.
Lessons Learned:
Deep vs Shallow Copy: This project highlighted the importance of understanding the difference between shallow and deep copies, especially when cloning objects. It is essential to deep copy any mutable fields like lists to avoid unintended side effects when modifying cloned objects.
Comparator Usage in Generics: Managing generic types with comparators can be tricky, but crucial for ensuring proper ordering in a heap. I learned how to define comparators for generic types and apply them within the heap to maintain the maxheap property.
Testing Equality for Complex Structures: I learned that when implementing equality checks equals its necessary to compare not just the content, but also the structure of the objects. For the heap, I had to ensure that the underlying list is identical for the heaps to be considered equal.
do you agree with this statement and why?
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