AXC 6. Define. a treeNode class for .tree nodes that each .conslsts of following 4 fields: parent leftChlld rightChlld data
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- To class Tree, add the following method public int countOdds(){ return countOddNodes(root); } Write the recursive method countOddNodes(Node n) which returns how many nodes in the tree where thier keys are odd number. Attach File Browse Local Files Browse Content CollectionPlease help in Python 3. Given code for BST.py ## Node classclass Node():def __init__(self, val):self.__value = valself.__right = Noneself.__left = Nonedef setLeft(self, n):self.__left = ndef setRight(self, n):self.__right = ndef getLeft(self):return self.__leftdef getRight(self):return self.__rightdef getValue(self):return self.__value # BST classclass BST():def __init__(self):self.__root = Nonedef append(self, val):node = Node(val)if self.__root == None:self.__root = nodereturncurrent = self.__rootwhile True:if val <= current.getValue():if current.getLeft() == None:current.setLeft(node)returnelse:current = current.getLeft()else:if current.getRight() == None:current.setRight(node)returnelse:current = current.getRight()def searchLength(self, val):if self.__root == None:return -1current = self.__rootlength = 0while current != None:if current.getValue() == val:return length + 1elif val < current.getValue():length += 1current = current.getLeft()else:length += 1current =…Given Class:- import java.util.*; // Iterator, Comparatorpublic class BinarySearchTree<T> implements BSTInterface<T>{protected BSTNode<T> root; // reference to the root of this BSTprotected Comparator<T> comp; // used for all comparisonsprotected boolean found; // used by removepublic BinarySearchTree() // Precondition: T implements Comparable// Creates an empty BST object - uses the natural order of elements.{root = null;comp = new Comparator<T>(){public int compare(T element1, T element2){return ((Comparable)element1).compareTo(element2);}};}public BinarySearchTree(Comparator<T> comp) // Creates an empty BST object - uses Comparator comp for order// of elements.{root = null;this.comp = comp;}public boolean isFull()// Returns false; this link-based BST is never full.{return false;}public boolean isEmpty()// Returns true if this BST is empty; otherwise, returns false.{return (root == null);}public T min()// If this BST is empty, returns null;//…
- Ex1. DLL2BST Add a constructor that constructs the binary search tree from the given DLList. BST<T>::BST(const DLL<T>& list)class BSTNode { int key; BSTNode left, right; public BSTNode(int item) { key = item; left = right = null; } } class BST_Tree { BSTNode root; BST_Tree() { // Constructor root = null; } boolean search(int key){ return (searchRec(root, key) != null); } public BSTNode searchRec(BSTNode root, int key) { if (root==null || root.key==key) return root; if (root.key > key) return searchRec(root.left, key); return searchRec (root.right, key); } void deleteKey(int key) { root = deleteRec(root, key); } /* A recursive function to insert a new key in BST */ BSTNode deleteRec(BSTNode root, int key) { /* Base Case: If the tree is empty */ if (root == null) return root; /* Otherwise, recur down the tree */ if (key < root.key)…in C++, create a binary search tree class using the class templatr below. class BinarySearchTree{ public:BinarySearchTree(); ~BinarySearchTree(); const int & findMin() const; const int & findMax() const; bool contains(cons tint &x) const; bool isEmpty(); void insert(const int &x); void remove(const int &x); private: struct BinaryNode{ int element; BinaryNode *left; BinaryNode *right; BinaryNode(const int &el, BinaryNode *lt, BinaryNode *rt) :element(el), left(lt), right(rt){} }; BinaryNode *root; void insert(const int &x, BinaryNode *&t) const; void remove(const int &x, BinaryNode *&t) const; BinaryNode * findMin(BinaryNode *t) const; BinaryNode * findMax(BinaryNode *t) const; bool contains(cons tint &x, BinaryNode *t) const; };
- class BSTNode { int key; BSTNode left, right; public BSTNode(int item) { key = item; left = right = null; } } class BST_Tree { BSTNode root; BST_Tree() { // Constructor root = null; } boolean search(int key){ return (searchRec(root, key) != null); } public BSTNode searchRec(BSTNode root, int key) { if (root==null || root.key==key) return root; if (root.key > key) return searchRec(root.left, key); return searchRec (root.right, key); } void deleteKey(int key) { root = deleteRec(root, key); } /* A recursive function to insert a new key in BST */ BSTNode deleteRec(BSTNode root, int key) { /* Base Case: If the tree is empty */ if (root == null) return root; /* Otherwise, recur down the tree */ if (key < root.key)…Tree.java: This is a simple binary tree class that should be used to represent the data in your Huffman tree. You only need to implement two of the methods (_printTree and compareTo). Huffman.java: This file contains all of the logic required to implement a Huffman tree. The code in this file relies on the Tree.java file. You must provide the implementation for all of the methods in this class. public class Main { /* * tree.txt should produce this tree: * 16 * / \ * 6 Z * / \ * A D * * A (1), D (5), Z (10) * * Codes: * A: 00 * D: 01 * Z: 1 * * Preorder Traversal: * 16, 6, 1 (A), 5 (D), 10 (Z) */ public static void main(String[] args) throws Exception { Huffman huff = new Huffman(); huff.buildTreeFromFile("tree.txt"); // Print the tree: System.out.println("printTree tests:"); huff.printTree(); // Expected output: [16: , 6: , 1:A, 5:D, 10:Z] // Get some codes:…Java / Trees: *Please refer to attached image* What is the inorder of this tree? Multiple chocie. G X C A N V F Q L W G X C A N V F L W E A C V N X G F L W E A C V N VG F L W E
- Goal: develop a class Queue, an ordered collection of objects that restricts insertions to the rear of the queue and removal from the front of the queue •The class Queue should support methods: • . Queue (): Constructor that initializes the queue to an empty queue enqueue (item): Add item to the end of the queue dequeue (): Remove and return the element at the front of the queue isEmpty(): Returns True if the queue is empty, False otherwise appts Queue () >>> appts.enqueue ('John') >>> appts.enqueue ('Annie') >>> appts.enqueue ('Sandy') >>> appts.dequeue () 'John' >>> appts.dequeue () 'Annie' >>> appts.dequeue () 'Sandy' >>> appts.isEmpty() Truecreating tree containers: one that uses a vector to hold your trees (class VectorContainer). Each of these container classes should be able to hold any amount of different expressions each of which can be of any size. see example. Please create vectorContainer.hpp all I need sort.hpp #ifndef __SORT_HPP__#define __SORT_HPP__ #include "container.hpp" class Container; class Sort {public:/* Constructors */Sort(); /* Pure Virtual Functions */virtual void sort(Container* container) = 0;}; #endif //__SORT_HPP__ base.hpp #ifndef __BASE_HPP__#define __BASE_HPP__ #include <string> class Base {public:/* Constructors */Base() { }; /* Pure Virtual Functions */virtual double evaluate() = 0;virtual std::string stringify() = 0;}; #endif //__BASE_HPP__ container.hpp #ifndef __CONTAINER_HPP__#define __CONTAINER_HPP__ #include "sort.hpp"#include "base.hpp" class Sort;class Base; class Container {protected:Sort* sort_function; public:/* Constructors */Container() : sort_function(nullptr) {…In Java I'm trying to make a Red Black Tree through inheritance with the Binary Tree I created (as provided along with the Binary Node) yet I'm having a lot of difficulty knowing where and how to start as well as how to override and even create the Insert and Remove functions for the Red Black Tree. Code and assistance in this topic will be greatly appreciated... here is the code I'm utilizing for this project. Binary Node I created: public class BinNode{private String data;private BinNode left;private BinNode right;private int height; //height fieldpublic BinNode(){data = "";left = null;right = null;}public int getHeight() {return height;}public void setHeight(int height) {this.height = height;}public BinNode(String d){data = d;left = null;right = null;}public void setData(String d){this.data = d;}public String getData(){return this.data;}public void setLeft(BinNode l){this.left = l;}public BinNode getLeft(){return this.left;}public void setRight(BinNode r){this.right = r;}public…