Starting Out with C++: Early Objects
Starting Out with C++: Early Objects
8th Edition
ISBN: 9780133360929
Author: Tony Gaddis, Judy Walters, Godfrey Muganda
Publisher: Addison-Wesley
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Chapter 19, Problem 6PC
Program Plan Intro

Tree Copy Constructor

Program Plan:

  • Define a class BTreeNode to create nodes for binary search tree items.
    • Include all the required header files.
    • Initialize a value to the node, and set the left child of node to leftp and right child of node to rightp .
  • Define a class to create a Binary Search Tree.
    • Create a copy constructor BST::BST(BST &t)that copies all the items present in the binary search tree.
  • Create a function int width that returns width of the tree.
    • Create a function bool search to search a particular item in tree.
  • Create a function leafCounter that counts no. of leaves present in a level.
    • Create function void insert to insert nodes into the tree.
  • Create a function void inorder to sort items in inorder traversal.
  • Declare the main function.
    • Prompt the user to enter 5 numbers to be inserted into tree.
  • Sort the items present in the tree in inorder traversal and print the items.
    • Copy all the items of the tree elements.
  • Prompt the user to enter a new value to be entered into tree.
    • Print the items present in new tree in order traversal.
  • Print the items present in original tree using copy constructor.

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Please provide me with the output  image of both of them . below are the diagrams code  make sure to update the code and mentionned clearly each section also the digram should be clearly describe like in the attached image. please do not provide the same answer like in other question . I repost this question because it does not satisfy the requirment I need in terms of clarifty the output of both code are not very well details  I have two diagram : first diagram code  graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder…
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