freeCodeCamp/curriculum/challenges/english/10-coding-interview-prep/data-structures/check-if-binary-search-tree.md

141 lines
3.2 KiB
Markdown
Raw Normal View History

---
id: 5cc0c1b32479e176caf3b422
title: Check if Tree is Binary Search Tree
challengeType: 1
forumTopicId: 301624
---
## Description
<section id='description'>
Since you already know what a binary search tree is, this challenge will establish how it is you can tell that a tree is a binary search tree or not.
The main distinction of a binary search tree is that the nodes are ordered in an organized fashion. Nodes have at most 2 child nodes (placed to the right and/or left) based on if the child node's value is greater than or equal to (right) or less than (left) the parent node.
</section>
## Instructions
<section id='instructions'>
In this challenge, you will create a utility for your tree. Write a JavaScript method <code>isBinarySearchTree</code> which takes a tree as an input and returns a boolean value for whether the tree is a binary search tree or not. Use recursion whenever possible.
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: Your Binary Search Tree should return true when checked with <code>isBinarySearchTree()</code>.
testString: assert((function() { var test = false; if (typeof BinarySearchTree !== 'undefined') { test = new BinarySearchTree() } else { return false; }; test.push(1); test.push(5); test.push(3); test.push(2); test.push(4); return isBinarySearchTree(test) == true})());
```
</section>
## Challenge Seed
<section id='challengeSeed'>
<div id='js-seed'>
```js
var displayTree = (tree) => console.log(JSON.stringify(tree, null, 2));
function Node(value) {
this.value = value;
this.left = null;
this.right = null;
}
function BinarySearchTree() {
this.root = null;
}
function isBinarySearchTree(tree) {
// Only change code below this line
// Only change code above this line
}
```
</div>
### After Test
<div id='js-teardown'>
```js
BinarySearchTree.prototype.push = function(val) {
var root = this.root;
if (!root) {
this.root = new Node(val);
return;
}
var currentNode = root;
var newNode = new Node(val);
while (currentNode) {
if (val < currentNode.value) {
if (!currentNode.left) {
currentNode.left = newNode;
break;
} else {
currentNode = currentNode.left;
}
} else {
if (!currentNode.right) {
currentNode.right = newNode;
break;
} else {
currentNode = currentNode.right;
}
}
}
};
```
</div>
</section>
## Solution
<section id='solution'>
```js
var displayTree = (tree) => console.log(JSON.stringify(tree, null, 2));
function Node(value) {
this.value = value;
this.left = null;
this.right = null;
}
function BinarySearchTree() {
this.root = null;
}
function isBinarySearchTree(tree) {
if (tree.root == null) {
return null;
} else {
let isBST = true;
function checkTree(node) {
if (node.left != null) {
const left = node.left;
if (left.value > node.value) {
isBST = false;
} else {
checkTree(left);
}
}
if (node.right != null) {
const right = node.right;
if (right.value < node.value) {
isBST = false;
} else {
checkTree(right);
}
}
}
checkTree(tree.root);
return isBST;
}
};
```
</section>