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CS302 Assignment 8: void priorityQ<Type>::deleteHighestPriority() - removes the root element by assigning the root with the end element in the heap and bubbles the element down, also decrements items by 1 (does nothing if the heap is empty)
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It's a very simple code that should match the output. Make sure it is commented.
CS302
Assignment 8: Find k
th largest number of an unsorted list
Description
Given a set of n integers, find the k − th largest element in the list. You will need to create the following
class which could be either a min heap or a max heap.
class priorityQ
{
public :
priorityQ (int = 10);
priorityQ ( const priorityQ < Type >&);
~ priorityQ ();
const priorityQ < Type >& operator =( const priorityQ < Type >&);
void insert ( const Type &);
void deleteHighestPriority ();
Type getHighestPriority () const ;
bool isEmpty () const ;
void bubbleUp (int );
void bubbleDown (int );
int getSize () const ;
private :
int capacity ;
int items ;
Type * heapArray ;
};
• Type * heapArray - array that contains the elements for priority queue
• int capacity - the length of the heapArray
• int items - the amount of items currently stored in the heap
• priorityQ<Type>::priorityQ(int capacity) - sets this->capacity with capacity, allocates a
dynamic array to heapArray, and sets items to 1 or 0
• priorityQ<Type>::priorityQ(const priorityQ<Type>& copy) - copy constructor, performs a deep
copy of the copy object to the *this object
• priorityQ<Type>::~priorityQ() - destructor
1
• const priorityQ<Type>& priorityQ<Type>::operator=(const priorityQ<Type>& rhs) - assignment operator, performs a deep copy of rhs object into *this object, remember to check for a self
assignment and deallocate this->heapArray first before performing the actual deep copy
• void priorityQ<Type>::insert(const Type& element) - inserts element to the end of the heap and
bubbles the element up, resizes if needed, also increments items counter by 1
• void priorityQ<Type>::deleteHighestPriority() - removes the root element by assigning the root
with the end element in the heap and bubbles the element down, also decrements items by 1 (does
nothing if the heap is empty)
• Type priorityQ<Type>::getHighestPriority() const - returns the highest priority item, the item
at index 1 of the heapArray
• bool priorityQ<Type>::isEmpty() const - returns true if there are no items in the heap and false
otherwise
• void priorityQ<Type>::bubbleUp(int index) - bubbles up an element in heapArray at index ”index”, and keeps bubbling up as needed, remember an the parent of element at index x in the heapArray
is at index x / 2
• void priorityQ<Type>::bubbleDown(int index) - bubbles down an element from index ”index”,
and keeps bubbling down as needed, remember the left child and right child of element x is at location
2 * x and 2 * x + 1 respectively, you always bubble down with the highest priority child, also remember
if 2 * x > items then x is a leaf node and no bubbling down is needed
• int priorityQ<Type>::getSize() const - returns the amount of elements stored in the heap
Contents of main
You will prompt for an input file, the first line contains an integer K that denotes the K −th largest number
you want to find. Then a list of integers (one integer per line) and each line is ended with an end of line
character. You need to output the k − th largest element whenever a new integer read in causes an update
(a new k − th largest number is found).
You need to use a priorityQ<int> object to make this work, you can not sort the array or insert the entire
list into a priorityQ<int> object and then just pop the heap X number of times. You have to assume that
the entire sequence of numbers is not known in advance.
Example Output
$ g ++ main . cpp
$ ./ a . out
Enter filename : input01 . txt
Initial 12 - th largest number : 88
New 12 - th largest number : 86
New 12 - th largest number : 82
New 12 - th largest number : 79
New 12 - th largest number : 78
New 12 - th largest number : 65
New 12 - th largest number : 62
New 12 - th largest number : 59
New 12 - th largest number : 57
New 12 - th largest number : 47
New 12 - th largest number : 44
New 12 - th largest number : 43
2
New 12 - th largest number : 39
New 12 - th largest number : 34
New 12 - th largest number : 30
New 12 - th largest number : 29
New 12 - th largest number : 27
New 12 - th largest number : 26
New 12 - th largest number : 24
New 12 - th largest number : 23
Final 12 - th largest number : 23
$ ./ a . out
Enter filename : input02 . txt
Initial 27 - th largest number : 99
New 27 - th largest number : 90
New 27 - th largest number : 88
New 27 - th largest number : 86
New 27 - th largest number : 82
New 27 - th largest number : 79
New 27 - th largest number : 78
New 27 - th largest number : 76
New 27 - th largest number : 73
New 27 - th largest number : 70
New 27 - th largest number : 69
New 27 - th largest number : 66
New 27 - th largest number : 65
New 27 - th largest number : 63
New 27 - th largest number : 62
New 27 - th largest number : 61
New 27 - th largest number : 59
New 27 - th largest number : 57
New 27 - th largest number : 56
New 27 - th largest number : 54
New 27 - th largest number : 48
New 27 - th largest number : 47
Final 27 - th largest number : 47
$ ./ a . out
Enter filename : input03 . txt
Initial 45 - th largest number : 99
New 45 - th largest number : 96
New 45 - th largest number : 90
New 45 - th largest number : 88
New 45 - th largest number : 86
New 45 - th largest number : 82
Final 45 - th largest number : 82
Specifications
• Comment your code and your functions
• Make sure your code is memory leak free
• Do not sort the list of just insert every element from the file into the priority queue at once
3
Submission
Upload your source code and write up to the class site by the deadline, submit main.cpp and priorityQ.hpp
to code grade
References
• The image used in this write can be found at https://www.deviantart.com/solarstormtm/art/Rockofrom-Rocko-s-Modern-Life-395651928
4
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