--description--

In this challenge you will define two methods, findMin and findMax. These methods should return the minimum and maximum value held in the binary search tree (don't worry about adding values to the tree for now, we have added some in the background). If you get stuck, reflect on the invariant that must be true for binary search trees: each left subtree is less than or equal to its parent and each right subtree is greater than or equal to its parent. Let's also say that our tree can only store integer values. If the tree is empty, either method should return null.

--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 findMin.

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

The binary search tree should have a method called findMax.

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

The findMin method should return the minimum value in the binary search tree.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.findMin !== 'function') {
      return false;
    }
    test.add(4);
    test.add(1);
    test.add(7);
    test.add(87);
    test.add(34);
    test.add(45);
    test.add(73);
    test.add(8);
    return test.findMin() == 1;
  })()
);

The findMax method should return the maximum value in the binary search tree.

assert(
  (function () {
    var test = false;
    if (typeof BinarySearchTree !== 'undefined') {
      test = new BinarySearchTree();
    } else {
      return false;
    }
    if (typeof test.findMax !== 'function') {
      return false;
    }
    test.add(4);
    test.add(1);
    test.add(7);
    test.add(87);
    test.add(34);
    test.add(45);
    test.add(73);
    test.add(8);
    return test.findMax() == 87;
  })()
);

The findMin and findMax methods 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.findMin !== 'function') {
      return false;
    }
    if (typeof test.findMax !== 'function') {
      return false;
    }
    return test.findMin() == null && test.findMax() == 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;
  this.findMin = function() {
    // Empty tree.
    if (!this.root) {
      return null;
    }
    let currentNode = this.root;
    while (currentNode.left) {
      currentNode = currentNode.left;
    }
    return currentNode.value;
  };
  this.findMax = function() {
    // Empty tree.
    if (!this.root) {
      return null;
    }
    let currentNode = this.root;
    while (currentNode.right) {
      currentNode = currentNode.right;
    }
    return currentNode.value;
  };
  this.add = function(value) {
    // Empty tree.
    if (!this.root) {
      this.root = new Node(value);
      return undefined;
    }
    return this.addNode(this.root, value);
  };
  this.addNode = function(node, value) {
    // Check if value already exists.
    if (node.value === value) return null;
    if (value < node.value) {
      if (node.left) {
        return this.addNode(node.left, value);
      } else {
        node.left = new Node(value);
        return undefined;
      }
    } else {
      if (node.right) {
        return this.addNode(node.right, value);
      } else {
        node.right = new Node(value);
        return undefined;
      }
    }
  };
  this.isPresent = function(value) {
    if (!this.root) {
      return null;
    }
    return this.isNodePresent(this.root, value);
  };
  this.isNodePresent = function(node, value) {
    if (node.value === value) return true;
    if (value < node.value) {
      return node.left ? this.isNodePresent(node.left, value) : false;
    } else {
      return node.right ? this.isNodePresent(node.right, value) : false;
    }
    return false;
  };
  this.findMinHeight = function() {
    if (!this.root) {
      return -1;
    }
    let heights = {};
    let height = 0;
    this.traverseTree(this.root, height, heights);
    return Math.min(...Object.keys(heights));
  };
  this.findMaxHeight = function() {
    if (!this.root) {
      return -1;
    }
    let heights = {};
    let height = 0;
    this.traverseTree(this.root, height, heights);
    return Math.max(...Object.keys(heights));
  };
  this.traverseTree = function(node, height, heights) {
    if (node.left === null && node.right === null) {
      return (heights[height] = true);
    }
    if (node.left) {
      this.traverseTree(node.left, height + 1, heights);
    }
    if (node.right) {
      this.traverseTree(node.right, height + 1, heights);
    }
  };
  this.isBalanced = function() {
    return this.findMaxHeight() > this.findMinHeight() + 1;
  };
  // DFS tree traversal.
  this.inorder = function() {
    if (!this.root) return null;
    let result = [];

    function traverseInOrder(node) {
      if (node.left) traverseInOrder(node.left);
      result.push(node.value);
      if (node.right) traverseInOrder(node.right);
    }
    traverseInOrder(this.root);
    return result;
  };
  this.preorder = function() {
    if (!this.root) return null;
    let result = [];

    function traverseInOrder(node) {
      result.push(node.value);
      if (node.left) traverseInOrder(node.left);
      if (node.right) traverseInOrder(node.right);
    }
    traverseInOrder(this.root);
    return result;
  };
  this.postorder = function() {
    if (!this.root) return null;
    let result = [];

    function traverseInOrder(node) {
      if (node.left) traverseInOrder(node.left);
      if (node.right) traverseInOrder(node.right);
      result.push(node.value);
    }
    traverseInOrder(this.root);
    return result;
  };
  // BFS tree traversal.
  this.levelOrder = function() {
    if (!this.root) return null;
    let queue = [this.root];
    let result = [];
    while (queue.length) {
      let node = queue.shift();
      result.push(node.value);
      if (node.left) queue.push(node.left);
      if (node.right) queue.push(node.right);
    }
    return result;
  };
  this.reverseLevelOrder = function() {
    if (!this.root) return null;
    let queue = [this.root];
    let result = [];
    while (queue.length) {
      let node = queue.shift();
      result.push(node.value);
      if (node.right) queue.push(node.right);
      if (node.left) queue.push(node.left);
    }
    return result;
  };
  // Delete a leaf node.
}
let bst = new BinarySearchTree();