Continuing on from your implementation of the PriorityQueue class, add the method create_heap_fast (self, values) which takes a Python list as a parameter. This method should put elements from the Python list into the priority queue without using the insert method. The Big-O of this method is O(n). The method should do the following: • Insert each element from the parameter list and append it to the binary heap. • Set the size to the number of elements in the parameter list. • Get the starting index position (i.e. last element which has a child, size // 2). Rearrange the elements starting from the above index position by calling the percolate_down () method. • Keep rearranging and working backwards towards the root. ● Note: submit the entire class definition. You can assume that the parameter list is not empty. For example: Test pq = PriorityQueue () keys = [9, 5, 8, 6, 3, 2] pq.create_heap_fast(keys) print (pq) Result [0, 2, 3, 8, 6, 5, 9]

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Continuing on from your implementation of the PriorityQueue class, add the method create_heap_fast (self,
values) which takes a Python list as a parameter. This method should put elements from the Python list into the
priority queue without using the insert method. The Big-O of this method is O(n). The method should do the following:
• Insert each element from the parameter list and append it to the binary heap.
• Set the size to the number of elements in the parameter list.
• Get the starting index position (i.e. last element which has a child, size // 2).
• Rearrange the elements starting from the above index position by calling the percolate_down() method.
• Keep rearranging and working backwards towards the root.
Note: submit the entire class definition. You can assume that the parameter list is not empty.
For example:
Test
pq PriorityQueue ()
keys
[9, 5, 8, 6, 3, 2]
pq.create_heap_fast(keys)
=
=
print (pq)
Result
[0, 2, 3, 8, 6, 5, 9]
Transcribed Image Text:Continuing on from your implementation of the PriorityQueue class, add the method create_heap_fast (self, values) which takes a Python list as a parameter. This method should put elements from the Python list into the priority queue without using the insert method. The Big-O of this method is O(n). The method should do the following: • Insert each element from the parameter list and append it to the binary heap. • Set the size to the number of elements in the parameter list. • Get the starting index position (i.e. last element which has a child, size // 2). • Rearrange the elements starting from the above index position by calling the percolate_down() method. • Keep rearranging and working backwards towards the root. Note: submit the entire class definition. You can assume that the parameter list is not empty. For example: Test pq PriorityQueue () keys [9, 5, 8, 6, 3, 2] pq.create_heap_fast(keys) = = print (pq) Result [0, 2, 3, 8, 6, 5, 9]
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