243 lines
6.3 KiB
Java
243 lines
6.3 KiB
Java
/**
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*
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*
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* <h1>Binary Search Tree (Recursive)</h1>
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*
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* An implementation of BST recursively. In recursive implementation the checks are down the tree
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* First root is checked if not found then its childs are checked Binary Search Tree is a binary
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* tree which satisfies three properties: left child is less than root node, right child is grater
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* than root node, both left and right childs must themselves be a BST.
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*
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* <p>I have made public functions as methods and to actually implement recursive approach I have
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* used private methods
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*
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* @author [Lakhan Nad](https://github.com/Lakhan-Nad)
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*/
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public class BSTRecursive {
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/** only data member is root of BST */
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private Node root;
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/** Constructor use to initialize node as null */
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BSTRecursive() {
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root = null;
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}
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/** main function for tests */
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public static void main(String[] args) {
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BSTIterative tree = new BSTIterative();
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tree.add(5);
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tree.add(10);
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tree.add(9);
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assert !tree.find(4) : "4 is not yet present in BST";
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assert tree.find(10) : "10 should be present in BST";
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tree.remove(9);
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assert !tree.find(9) : "9 was just deleted from BST";
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tree.remove(1);
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assert !tree.find(1) : "Since 1 was not present so find deleting would do no change";
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tree.add(20);
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tree.add(70);
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assert tree.find(70) : "70 was inserted but not found";
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/*
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Will print in following order
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5 10 20 70
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*/
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tree.inorder();
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}
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/**
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* Recursive method to delete a data if present in BST.
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*
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* @param node the current node to search for data
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* @param data the value to be deleted
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* @return Node the updated value of root parameter after delete operation
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*/
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private Node delete(Node node, int data) {
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if (node == null) {
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System.out.println("No such data present in BST.");
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} else if (node.data > data) {
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node.left = delete(node.left, data);
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} else if (node.data < data) {
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node.right = delete(node.right, data);
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} else {
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if (node.right == null && node.left == null) { // If it is leaf node
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node = null;
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} else if (node.left == null) { // If only right node is present
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Node temp = node.right;
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node.right = null;
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node = temp;
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} else if (node.right == null) { // Only left node is present
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Node temp = node.left;
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node.left = null;
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node = temp;
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} else { // both child are present
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Node temp = node.right;
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// Find leftmost child of right subtree
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while (temp.left != null) {
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temp = temp.left;
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}
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node.data = temp.data;
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node.right = delete(node.right, temp.data);
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}
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}
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return node;
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}
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/**
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* Recursive insertion of value in BST.
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*
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* @param node to check if the data can be inserted in current node or its subtree
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* @param data the value to be inserted
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* @return the modified value of the root parameter after insertion
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*/
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private Node insert(Node node, int data) {
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if (node == null) {
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node = new Node(data);
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} else if (node.data > data) {
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node.left = insert(node.left, data);
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} else if (node.data < data) {
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node.right = insert(node.right, data);
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}
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return node;
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}
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/**
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* Recursively print Preorder traversal of the BST
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*
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* @param node the root node
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*/
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private void preOrder(Node node) {
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if (node == null) {
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return;
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}
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System.out.print(node.data + " ");
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if (node.left != null) {
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preOrder(node.left);
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}
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if (node.right != null) {
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preOrder(node.right);
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}
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}
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/**
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* Recursively print Postorder travesal of BST.
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*
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* @param node the root node
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*/
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private void postOrder(Node node) {
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if (node == null) {
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return;
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}
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if (node.left != null) {
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postOrder(node.left);
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}
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if (node.right != null) {
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postOrder(node.right);
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}
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System.out.print(node.data + " ");
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}
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/**
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* Recursively print Inorder traversal of BST.
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*
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* @param node the root node
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*/
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private void inOrder(Node node) {
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if (node == null) {
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return;
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}
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if (node.left != null) {
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inOrder(node.left);
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}
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System.out.print(node.data + " ");
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if (node.right != null) {
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inOrder(node.right);
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}
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}
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/**
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* Serach recursively if the given value is present in BST or not.
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*
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* @param node the current node to check
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* @param data the value to be checked
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* @return boolean if data is present or not
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*/
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private boolean search(Node node, int data) {
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if (node == null) {
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return false;
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} else if (node.data == data) {
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return true;
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} else if (node.data > data) {
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return search(node.left, data);
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} else {
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return search(node.right, data);
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}
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}
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/**
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* add in BST. if the value is not already present it is inserted or else no change takes place.
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*
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* @param data the value to be inserted
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*/
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public void add(int data) {
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this.root = insert(this.root, data);
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}
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/**
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* If data is present in BST delete it else do nothing.
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*
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* @param data the value to be removed
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*/
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public void remove(int data) {
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this.root = delete(this.root, data);
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}
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/** To call inorder traversal on tree */
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public void inorder() {
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System.out.println("Inorder traversal of this tree is:");
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inOrder(this.root);
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System.out.println(); // for next line
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}
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/** To call postorder traversal on tree */
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public void postorder() {
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System.out.println("Postorder traversal of this tree is:");
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postOrder(this.root);
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System.out.println(); // for next li
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}
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/** To call preorder traversal on tree. */
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public void preorder() {
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System.out.println("Preorder traversal of this tree is:");
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preOrder(this.root);
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System.out.println(); // for next li
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}
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/**
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* To check if given value is present in tree or not.
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*
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* @param data the data to be found for
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*/
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public boolean find(int data) {
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if (search(this.root, data)) {
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System.out.println(data + " is present in given BST.");
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return true;
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}
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System.out.println(data + " not found.");
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return false;
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}
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/** The Node class used for building binary search tree */
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private static class Node {
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int data;
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Node left;
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Node right;
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/** Constructor with data as parameter */
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Node(int d) {
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data = d;
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left = null;
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right = null;
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}
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}
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}
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