freeCodeCamp/curriculum/challenges/espanol/10-coding-interview-prep/data-structures/use-breadth-first-search-in-a-binary-search-tree.md

id	title	challengeType	forumTopicId	dashedName
587d8258367417b2b2512c7f	Use Breadth First Search in a Binary Search Tree	1	301718	use-breadth-first-search-in-a-binary-search-tree

--description--

Here we will introduce another tree traversal method: breadth-first search. In contrast to the depth-first search methods from the last challenge, breadth-first search explores all the nodes in a given level within a tree before continuing on to the next level. Typically, queues are utilized as helper data structures in the design of breadth-first search algorithms.

In this method, we start by adding the root node to a queue. Then we begin a loop where we dequeue the first item in the queue, add it to a new array, and then inspect both its child subtrees. If its children are not null, they are each enqueued. This process continues until the queue is empty.

--instructions--

Let's create a breadth-first search method in our tree called levelOrder. This method should return an array containing the values of all the tree nodes, explored in a breadth-first manner. Be sure to return the values in the array, not the nodes themselves. A level should be traversed from left to right. Next, let's write a similar method called reverseLevelOrder which performs the same search but in the reverse direction (right to left) at each level.

--hints--

The BinarySearchTree data structure should exist.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    }
    return typeof test == 'object';
  })()
);

The binary search tree should have a method called levelOrder.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    return typeof test.levelOrder == 'function';
  })()
);

The binary search tree should have a method called reverseLevelOrder.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    return typeof test.reverseLevelOrder == 'function';
  })()
);

The levelOrder method should return an array of the tree node values explored in level order.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.levelOrder !== 'function') {
      return false;
    }
    test.add(7);
    test.add(1);
    test.add(9);
    test.add(0);
    test.add(3);
    test.add(8);
    test.add(10);
    test.add(2);
    test.add(5);
    test.add(4);
    test.add(6);
    return test.levelOrder().join('') == '719038102546';
  })()
);

The reverseLevelOrder method should return an array of the tree node values explored in reverse level order.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.reverseLevelOrder !== 'function') {
      return false;
    }
    test.add(7);
    test.add(1);
    test.add(9);
    test.add(0);
    test.add(3);
    test.add(8);
    test.add(10);
    test.add(2);
    test.add(5);
    test.add(4);
    test.add(6);
    return test.reverseLevelOrder().join('') == '791108305264';
  })()
);

The levelOrder method should return null for an empty tree.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.levelOrder !== 'function') {
      return false;
    }
    return test.levelOrder() == null;
  })()
);

The reverseLevelOrder method should return null for an empty tree.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.reverseLevelOrder !== 'function') {
      return false;
    }
    return test.reverseLevelOrder() == null;
  })()
);

--seed--

--after-user-code--

BinarySearchTree.prototype = Object.assign(
  BinarySearchTree.prototype,
  {
    add: function(value) {
      function searchTree(node) {
        if (value < node.value) {
          if (node.left == null) {
            node.left = new Node(value);
            return;
          } else if (node.left != null) {
            return searchTree(node.left);
          }
        } else if (value > node.value) {
          if (node.right == null) {
            node.right = new Node(value);
            return;
          } else if (node.right != null) {
            return searchTree(node.right);
          }
        } else {
          return null;
        }
      }
      var node = this.root;
      if (node == null) {
        this.root = new Node(value);
        return;
      } else {
        return searchTree(node);
      }
    }
  }
);

--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;
  // 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;
  // Only change code below this line
  this.levelOrder = (root = this.root) => {
    if(!root) return null;
    let queue = [root];
    let results = [];
    while(queue.length > 0) {
      let node = queue.shift();
      results.push(node.value);
      if(node.left) queue.push(node.left);
      if(node.right) queue.push(node.right);
    }
    return results;
  }

  this.reverseLevelOrder = (root = this.root) => {
    if(!root) return null;
    let queue = [root];
    let results = [] ;
    while ( queue.length > 0) {
      let node = queue.shift();
      results.push(node.value);
      if(node.right) queue.push(node.right);
      if(node.left ) queue.push(node.left);
    }
    return results;
  }
  // Only change code above this line
}