Details TO-DO: 1. Create a heap sort program and upload your file here. 2. Screenshot your sorted output after your program runs successfully.
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- Use Bst Below As Example feel free to use Whatever Feels Easiest #include "bst.h" /*** This function assumes that the key is allocated on the heap already*/node* insert(node *temp_root, char *key, double value) {if (temp_root == NULL) {temp_root = malloc(sizeof(node));temp_root->key = key;temp_root->value = value;temp_root->left = NULL;temp_root->right = NULL;} else if (strcmp(key, temp_root->key) < 0) {temp_root->left = insert(temp_root->left, key, value);} else if (strcmp(key, temp_root->key) > 0) {temp_root->right = insert(temp_root->right, key, value);} else {printf("%s already exists in the tree. No action taken\n", key);}return temp_root;} /*** This functions searches for a key in a tree* Returns the node that has the key or NULL otherwise*/node* find(node *temp_root, char *key) {node *result = NULL;if (temp_root != NULL) {if (strcmp(key, temp_root->key) == 0) {result = temp_root; // I found it} else if (strcmp(key, temp_root->key) <…Please answer ASAP The insert function below is used to insert item into the priority queue and maintaining the heap order property. (Note: isFull and Overflow functions are defined elsewhere and work properly) Explain what are lines 1 to line 4 doing. template void BinaryHeap::insert(const Comparable & x) { if (isFull()) throw Overflow(); int hole = ++currentSize; // line 1 for ( ;hole > 1 && x < array[hole/2]; hole /= 2) // line 2 array[hole] = array[hole/2]; // line 3 array[hole] = x; // line 4 }True or False For each statement below, indicate whether you think it is True or False. provide a description of your answer for partial credit in case you are incorrect. 1) Given a stack implemented as an array, and the following functions performed: Push(A), Push (B), Push(C), Pop(), Push(D), Push(E), Pop(), Push(F) a. The array will be [A][B][D][F] and the “top” of the stack will be at index 3 where [F] is b. The next element that will be removed when Pop is called will be A c. If we Push(G), [G] will be inserted at index 0
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- struct Faculty { int id; char name[30]; char status[10]; //status permanent or visiting Faculty next; }; Assume we have three stacks S, V and P. S is a stack having mix data of visiting and permanent faculty members, V is empty and for visiting faculty memebrs and P is also empty for permanent faculty members. Using primitive functions of stack write a C++ code which reads entire data from S and write on respective stack V or P.Given a sorted array of integers created on the heap, its size and a new integer, design a function which will enlarge the array and place the new item in the appropriate position in the array, so that it remains sorted. C++arrange the following data elements into a heap note - there will be more than one correct solution here; you simply have to show a correct arrangement. You have to draw the heap; you can not show it as an array or vector. Data Elements: 22 5 16 4 8 51 47 21 13 61 57 29 7
- getMin(self) needs to return the minimum value in the heap _parent(self, index) it needs to return value of the parent of the element at the specific index _leftChild(self, index) and _right Child(self,index) return value of the left/right child of the element at the specific index insert(self, item) needs to insert an item into the heap while maintaining the minimum heap property. It must use the _parent method. deleteMin(self) it needs to remove the minimum element of the heap and returns the value of the element that was just removed. The special cases where the heap is empty or contains only one element has been implemented for you already, your task is to implement the general case. According to the minimum heap property, the minimum element is the root node. When percolating down, if both children have the same value, swap with the left child. It must use the _leftChild and _rightChild methods. heapSort(numList) It takes a list of numbers and uses the heap sort algorithm to…getMin(self) needs to return the minimum value in the heap _parent(self, index) it needs to return value of the parent of the element at the specific index _leftChild(self, index) and _right Child(self,index) return value of the left/right child of the element at the specific index insert(self, item) needs to insert an item into the heap while maintaining the minimum heap property. It must use the _parent method. deleteMin(self) it needs to remove the minimum element of the heap and returns the value of the element that was just removed. The special cases where the heap is empty or contains only one element has been implemented for you already, your task is to implement the general case. According to the minimum heap property, the minimum element is the root node. When percolating down, if both children have the same value, swap with the left child. It must use the _leftChild and _rightChild methods. heapSort(numList) It takes a list of numbers and uses the heap sort algorithm to…USE PYTHON TO SOLVE THIS PROBLEM Write the functions add( ), delete( ), build( ), heapify( ) [swim up], sink( ) and heapSort( ) for a Min Heap Data Structure. Create a .txt file containing a bunch of numbers. Read the input from there and use the build( ) function to create a heap. Then ask the user to enter a command. ‘A’ for adding a new number, ‘B’ for deleting, and ‘S’ for sorting.