Tree Data Structure 🌲🌴🌳🎋

The Tree data structure (In Javascript)

The #data-structures series is a collection of posts about reimplemented data structures in JavaScript.

Definition

A Tree is a widely used data structure that simulates a hierarchical tree structure, with a root value and subtrees of children with a parent node. A tree data structure can be defined recursively as a collection of nodes (starting at a root node), where each node is a data structure consisting of a value, together with a list of references to nodes (the "children"), with the constraints that no reference is duplicated, and none points to the root node. From Wikipedia

Complexity

Average
Access	Search	Insertion	Deletion
O(n)	O(n)	O(n)	O(n)

To get a full overview of the time and space complexity of the Tree data structure, have a look to this excellent Big O cheat sheet.

The code

function Node(data) {
  this.data = data;
  this.children = [];
}

function Tree() {
  this.root = null;
}

Tree.prototype.add = function(data, toNodeData) {
  var node = new Node(data);
  var parent = toNodeData ? this.findBFS(toNodeData) : null;
  if(parent) {
    parent.children.push(node);
  } else {
    if(!this.root) {
      this.root = node;
    } else {
      return 'Root node is already assigned';
    }
  }
};
Tree.prototype.remove = function(data) {
  if(this.root.data === data) {
    this.root = null;
  }

  var queue = [this.root];
  while(queue.length) {
    var node = queue.shift();
    for(var i = 0; i < node.children.length; i++) {
      if(node.children[i].data === data) {
        node.children.splice(i, 1);
      } else {
        queue.push(node.children[i]);
      }
    }
  }
};
Tree.prototype.contains = function(data) {
  return this.findBFS(data) ? true : false;
};
Tree.prototype.findBFS = function(data) {
  var queue = [this.root];
  while(queue.length) {
    var node = queue.shift();
    if(node.data === data) {
      return node;
    }
    for(var i = 0; i < node.children.length; i++) {
      queue.push(node.children[i]);
    }
  }
  return null;
};
Tree.prototype._preOrder = function(node, fn) {
  if(node) {
    if(fn) {
      fn(node);
    }
    for(var i = 0; i < node.children.length; i++) {
      this._preOrder(node.children[i], fn);
    }
  }
};
Tree.prototype._postOrder = function(node, fn) {
  if(node) {
    for(var i = 0; i < node.children.length; i++) {
      this._postOrder(node.children[i], fn);
    }
    if(fn) {
      fn(node);
    }
  }
};
Tree.prototype.traverseDFS = function(fn, method) {
  var current = this.root;
  if(method) {
    this['_' + method](current, fn);
  } else {
    this._preOrder(current, fn);
  }
};
Tree.prototype.traverseBFS = function(fn) {
  var queue = [this.root];
  while(queue.length) {
    var node = queue.shift();
    if(fn) {
      fn(node);
    }
    for(var i = 0; i < node.children.length; i++) {
      queue.push(node.children[i]);
    }
  }
};
Tree.prototype.print = function() {
  if(!this.root) {
    return console.log('No root node found');
  }
  var newline = new Node('|');
  var queue = [this.root, newline];
  var string = '';
  while(queue.length) {
    var node = queue.shift();
    string += node.data.toString() + ' ';
    if(node === newline && queue.length) {
      queue.push(newline);
    }
    for(var i = 0; i < node.children.length; i++) {
      queue.push(node.children[i]);
    }
  }
  console.log(string.slice(0, -2).trim());
};
Tree.prototype.printByLevel = function() {
  if(!this.root) {
    return console.log('No root node found');
  }
  var newline = new Node('\n');
  var queue = [this.root, newline];
  var string = '';
  while(queue.length) {
    var node = queue.shift();
    string += node.data.toString() + (node.data !== '\n' ? ' ' : '');
    if(node === newline && queue.length) {
      queue.push(newline);
    }
    for(var i = 0; i < node.children.length; i++) {
      queue.push(node.children[i]);
    }
  }
  console.log(string.trim());
};

var tree = new Tree();
tree.add('ceo');
tree.add('cto', 'ceo');
tree.add('dev1', 'cto');
tree.add('dev2', 'cto');
tree.add('dev3', 'cto');
tree.add('cfo', 'ceo');
tree.add('accountant', 'cfo');
tree.add('cmo', 'ceo');
tree.print(); // => ceo | cto cfo cmo | dev1 dev2 dev3 accountant
tree.printByLevel();  // => ceo \n cto cfo cmo \n dev1 dev2 dev3 accountant
console.log('tree contains dev1 is true:', tree.contains('dev1')); // => true
console.log('tree contains dev4 is false:', tree.contains('dev4')); // => false
console.log('--- BFS');
tree.traverseBFS(function(node) { console.log(node.data); }); // => ceo cto cfo cmo dev1 dev2 dev3 accountant
console.log('--- DFS preOrder');
tree.traverseDFS(function(node) { console.log(node.data); }, 'preOrder'); // => ceo cto dev1 dev2 dev3 cfo accountant cmo
console.log('--- DFS postOrder');
tree.traverseDFS(function(node) { console.log(node.data); }, 'postOrder'); // => dev1 dev2 dev3 cto accountant cfo cmo ceo
tree.remove('cmo');
tree.print(); // => ceo | cto cfo | dev1 dev2 dev3 accountant
tree.remove('cfo');
tree.print(); // => ceo | cto | dev1 dev2 dev3

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Comments

[anumit-jooloor]

Very helpful. I have studying binary trees to prepare for faang interviews.