* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
		
			
				
	
	
	
		
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	id, title, challengeType, forumTopicId, dashedName
| id | title | challengeType | forumTopicId | dashedName | 
|---|---|---|---|---|
| 5cc0c1b32479e176caf3b422 | Check if Tree is Binary Search Tree | 1 | 301624 | check-if-tree-is-binary-search-tree | 
--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.
--instructions--
In this challenge, you will create a utility for your tree. Write a JavaScript method isBinarySearchTree 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.
--hints--
Your Binary Search Tree should return true when checked with isBinarySearchTree().
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;
  })()
);
--seed--
--after-user-code--
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;
      }
    }
  }
};
--seed-contents--
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
}
--solutions--
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;
  }
};