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index.js
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const Node = require('./Node');
class BinarySearchTree {
constructor(value) {
this.root = new Node(value);
}
insert(root, value) {
if (root === null) {
const newNode = new Node(value);
// eslint-disable-next-line no-param-reassign
root = newNode;
return root;
}
if (value < root.value) {
// eslint-disable-next-line no-param-reassign
root.leftChild = this.insert(root.leftChild, value);
return root;
}
if (value > root.value) {
// eslint-disable-next-line no-param-reassign
root.rightChild = this.insert(root.rightChild, value);
return root;
}
return root;
}
preorder(root) {
/** returning an array so as to make testing easy */
let arr = [];
if (root === null) return [];
arr.push(root.value);
const left = this.preorder(root.leftChild);
arr = [...arr, ...left];
const right = this.preorder(root.rightChild);
arr = [...arr, ...right];
return arr;
}
inorder(root) {
/** left - root - right */
if (root === null) return [];
let arr = [];
const left = this.inorder(root.leftChild);
arr = [...left, ...arr];
// print root
arr = [...arr, root.value];
const right = this.inorder(root.rightChild);
arr = [...arr, ...right];
return arr;
}
postorder(root) {
/** left - right - root */
if (root === null) return [];
let arr = [];
const left = this.postorder(root.leftChild);
arr = [...left, ...arr];
const right = this.postorder(root.rightChild);
arr = [...arr, ...right];
return [...arr, root.value];
}
search(root, value) {
if (root === null) return false;
if (value === root.value) return true;
if (value < root.value) {
return this.search(root.leftChild, value);
}
if (value > root.value) {
return this.search(root.rightChild, value);
}
return false;
}
delete(root, value) {
if (root === null) {
return root;
}
if (value > root.value) {
// eslint-disable-next-line no-param-reassign
root.rightChild = this.delete(root.rightChild, value);
} else if (value < root.value) {
// eslint-disable-next-line no-param-reassign
root.leftChild = this.delete(root.leftChild, value);
} else {
// found the node
if (root.leftChild === null) {
// there is a right sub-tree
return root.rightChild;
}
if (root.rightChild === null) {
// there is a left sub-tree
return root.leftChild;
}
/**
* the root contain 2 childs, we got 2 options:
* 1. We can either find the Node with minimum value at from the right sub-tree
* 2. Or, we can find the Node with maximum value from the left sub-tree
*
* I'm picking up 1 here
*/
const minRightNode = this.findMinNode(root.rightChild);
// eslint-disable-next-line no-param-reassign
root.value = minRightNode.value;
// eslint-disable-next-line no-param-reassign
root.rightChild = this.delete(root.rightChild, minRightNode.value);
return root;
}
return root;
}
findMinNode(root) {
/** The minnimum values is the let most leaf node in BST */
if (root.leftChild === null) return root;
return this.findMinNode(root.leftChild);
}
findMaxNode(root) {
if (root.rightChild === null) return root;
return this.findMaxNode(root.rightChild);
}
isEmpty() {
return this.root === null;
}
/** Layered methods to simplify the BST API */
add(value) {
return this.insert(this.root, value);
}
traversePreorder() {
return this.preorder(this.root);
}
traversePostorder() {
return this.postorder(this.root);
}
traverseInorder() {
return this.inorder(this.root);
}
searchFor(value) {
return this.search(this.root, value);
}
getMinimum() {
const minNode = this.findMinNode(this.root);
return minNode.value;
}
getMaximum() {
const maxNode = this.findMaxNode(this.root);
return maxNode.value;
}
remove(value) {
return this.delete(this.root, value);
}
}
// const bst = new BinarySearchTree(6);
// console.log(bst.root);
// bst.add(4);
// bst.add(9);
// bst.add(2);
// bst.add(5);
// bst.add(8);
// bst.add(12);
// console.log(bst.root);
// const preorder = bst.traversePreorder();
// console.log('Preorder Traversal - ', preorder);
// const inorder = bst.traverseInorder();
// console.log('Inorder Traversal - ', inorder);
// const postorder = bst.traversePostorder();
// console.log('Postorder Traversal - ', postorder);
// const search = 18;
// console.log(`Search for ${search}`, bst.searchFor(search));
// const minNode = bst.getMinimum();
// console.log('Minimum value =>', minNode);
// const maxNode = bst.getMaximum();
// console.log('Maximum value =>', maxNode);
// bst.remove(4);
// console.log(bst.traversePreorder());
// console.log(bst.root);
module.exports = BinarySearchTree;