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205 lines (182 loc) · 5.19 KB
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//depthFirstSearch preparation
// 9
// 4 20
//1 6 15 170
//InOrder - [ 1, 4, 6, 9, 15, 20, 170 ]
//PreOrder - [ 9, 4, 1, 6, 20, 15, 170 ] best usage for recreating tree
//PostOrder - [ 1, 6, 4, 15, 170, 20 ,9 ]
class Node {
constructor(value){
this.left = null;
this.right = null;
this.value = value;
}
}
class BinarySearchTree {
constructor(){
this.root = null;
}
insert(value){
const newNode = new Node(value);
if (this.root === null) {
this.root = newNode;
} else {
let currentNode = this.root;
while(true){
if(value < currentNode.value){
//Left
if(!currentNode.left){
currentNode.left = newNode;
return this;
}
currentNode = currentNode.left;
} else {
//Right
if(!currentNode.right){
currentNode.right = newNode;
return this;
}
currentNode = currentNode.right;
}
}
}
}
lookup(value){
if (!this.root) {
return false;
}
let currentNode = this.root;
while(currentNode){
if(value < currentNode.value){
currentNode = currentNode.left;
} else if(value > currentNode.value){
currentNode = currentNode.right;
} else if (currentNode.value === value) {
return currentNode;
}
}
return null
}
remove(value) {
if (!this.root) {
return false;
}
let currentNode = this.root;
let parentNode = null;
while(currentNode){
if(value < currentNode.value){
parentNode = currentNode;
currentNode = currentNode.left;
} else if(value > currentNode.value){
parentNode = currentNode;
currentNode = currentNode.right;
} else if (currentNode.value === value) {
//We have a match, get to work!
//Option 1: No right child:
if (currentNode.right === null) {
if (parentNode === null) {
this.root = currentNode.left;
} else {
//if parent > current value, make current left child a child of parent
if(currentNode.value < parentNode.value) {
parentNode.left = currentNode.left;
//if parent < current value, make left child a right child of parent
} else if(currentNode.value > parentNode.value) {
parentNode.right = currentNode.left;
}
}
//Option 2: Right child which doesnt have a left child
} else if (currentNode.right.left === null) {
if(parentNode === null) {
this.root = currentNode.left;
} else {
currentNode.right.left = currentNode.left;
//if parent > current, make right child of the left the parent
if(currentNode.value < parentNode.value) {
parentNode.left = currentNode.right;
//if parent < current, make right child a right child of the parent
} else if (currentNode.value > parentNode.value) {
parentNode.right = currentNode.right;
}
}
//Option 3: Right child that has a left child
} else {
//find the Right child's left most child
let leftmost = currentNode.right.left;
let leftmostParent = currentNode.right;
while(leftmost.left !== null) {
leftmostParent = leftmost;
leftmost = leftmost.left;
}
//Parent's left subtree is now leftmost's right subtree
leftmostParent.left = leftmost.right;
leftmost.left = currentNode.left;
leftmost.right = currentNode.right;
if(parentNode === null) {
this.root = leftmost;
} else {
if(currentNode.value < parentNode.value) {
parentNode.left = leftmost;
} else if(currentNode.value > parentNode.value) {
parentNode.right = leftmost;
}
}
}
return true;
}
}
}
depthFirstSearchInOrder(){
return traverseInOrder( this.root, [] );
}
depthFirstSearchPreOrder(){
return traversePreOrder( this.root, [] );
}
depthFirstSearchPostOrder(){
return traversePostOrder( this.root, [] );
}
}
traverseInOrder = ( node, list ) => {
if( node.left ){
traverseInOrder( node.left, list )
}
list.push( node.value );
if( node.right ){
traverseInOrder( node.right, list );
}
return list;
}
traversePreOrder = ( node, list ) => {
list.push( node.value );
if( node.left ){
traversePreOrder( node.left, list );
}
if( node.right ){
traversePreOrder( node.right, list );
}
return list;
}
traversePostOrder = ( node, list ) => {
if( node.left ){
traversePostOrder( node.left, list );
}
if( node.right ){
traversePostOrder( node.right, list );
}
list.push( node.value );
return list;
}
const tree = new BinarySearchTree();
tree.insert(9)
tree.insert(4)
tree.insert(6)
tree.insert(20)
tree.insert(170)
tree.insert(15)
tree.insert(1)
tree.depthFirstSearchInOrder();
tree.depthFirstSearchPreOrder();
tree.depthFirstSearchPostOrder();
// 9
// 4 20
//1 6 15 170