Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

I can useget_size(), is_empty() and delete_minimum(). I am to define a Python function namedget_kth_smallest_list(priority_queue, k)which takes a priority queue and an integer as parameters andreturnsk

I can useget_size(), is_empty() and delete_minimum().

I am to define a Python function namedget_kth_smallest_list(priority_queue, k)which takes a priority queue and an integer as parameters andreturnsk smallest elements in the parameter priority queue.

Note: You need to ensure that you do not attempt to delete items if the priority queue is empty. Some examples of the function being used are shown below.

Test

Result

print(get_kth_smallest_list(priority_queue1, 3))

[5, 6, 7]

priority_queue = PriorityQueue()

print(get_kth_smallest_list(priority_queue, 2))

[]

priority_queue = PriorityQueue()

num_list = [12, 26, 7, 95]

for num in num_list:

priority_queue.insert(num)

print(get_kth_smallest_list(priority_queue, 6))

[7, 12, 26, 95]

class PriorityQueue: def __init__(self): self.binary_heap = [0] self.size = 0 def insert(self, value): self.binary_heap.append(value) self.size += 1 self.percolate_up(self.size) def delete_minimum(self): if not self.is_empty(): heap_root_index = 1 minimum_value = self.binary_heap[heap_root_index] self.binary_heap[heap_root_index] = self.binary_heap[self.size] self.binary_heap.pop() self.size -= 1 self.percolate_down(heap_root_index) return minimum_value def peek(self): if not self.is_empty(): heap_root_index = 1 minimum_value = self.binary_heap[heap_root_index] return minimum_value def is_empty(self): return self.size == 0 def percolate_up(self, index): while index // 2 > 0: if self.binary_heap[index] tmp = self.binary_heap[index // 2] self.binary_heap[index // 2] = self.binary_heap[index] self.binary_heap[index] = tmp index = index // 2 def percolate_down(self, index): while (index * 2) => smallest_child = self.get_smaller_child_index(index) if self.binary_heap[index] > self.binary_heap[smallest_child]: tmp = self.binary_heap[index] self.binary_heap[index] = self.binary_heap[smallest_child] self.binary_heap[smallest_child] = tmp index = smallest_child def get_smaller_child_index(self, index): if index * 2 + 1 > self.size: return index * 2 else: if self.binary_heap[index*2] return index * 2 else: return index * 2 + 1

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Introduction to Wireless and Mobile Systems

Authors: Dharma P. Agrawal, Qing An Zeng

4th edition

1305087135, 978-1305087132, 9781305259621, 1305259629, 9781305537910 , 978-130508713

Students also viewed these Programming questions

Question

a. Can Budgeting be used in Performance evaluation

Answered: 1 week ago

Question

1. Explain the importance of measuring variability.

Answered: 1 week ago