Sum of nodes in top view of binary tree efficiently

Here given code implementation process.
import java.util.HashMap;
// Java program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
// Data value
public int data;
// Indicates left and right subtree
public TreeNode left;
public TreeNode right;
public TreeNode(int data)
{
this.data = data;
this.left = null;
this.right = null;
}
}
public class BinaryTree
{
public TreeNode root;
public BinaryTree()
{
this.root = null;
}
public void findTopNode(TreeNode node,
HashMap < Integer, Integer > record,
int distance, int level)
{
if (node != null)
{
if (!record.containsKey(distance))
{
// Get top view element
record.put(distance, node.data);
}
// Visit left subtree
findTopNode(node.left, record, distance - 1, level + 1);
// Visit right subtree
findTopNode(node.right, record, distance + 1, level + 1);
}
}
public void topViewNodeSum()
{
if (this.root != null)
{
// Use to collect elements of top view
HashMap < Integer, Integer > record =
new HashMap < Integer, Integer > ();
findTopNode(this.root, record, 0, 0);
int sum = 0;
// Sum top view nodes
for (int info: record.keySet())
{
sum += record.get(info);
}
// Display calculated result
System.out.println(" Sum : " + sum);
}
}
public static void main(String[] args)
{
BinaryTree tree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = new TreeNode(1);
tree.root.left = new TreeNode(2);
tree.root.right = new TreeNode(3);
tree.root.right.right = new TreeNode(6);
tree.root.right.right.right = new TreeNode(9);
tree.root.right.left = new TreeNode(5);
tree.root.left.left = new TreeNode(4);
tree.root.left.left.right = new TreeNode(7);
tree.root.left.left.right.left = new TreeNode(-2);
tree.root.left.left.right.left.left = new TreeNode(8);
tree.root.left.left.right.right = new TreeNode(11);
tree.root.right.right.right.left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
}
Output
Sum : 33
// Include header file
#include <iostream>
#include <unordered_map>
using namespace std;
// C++ program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
public:
// Data value
int data;
// Indicates left and right subtree
TreeNode *left;
TreeNode *right;
TreeNode(int data)
{
this->data = data;
this->left = NULL;
this->right = NULL;
}
};
class BinaryTree
{
public: TreeNode *root;
BinaryTree()
{
this->root = NULL;
}
void findTopNode(TreeNode *node,
unordered_map < int, int > &record,
int distance,
int level)
{
if (node != NULL)
{
if (record.find(distance) == record.end())
{
// Get top view element
record[distance] = node->data;
}
// Visit left subtree
this->findTopNode(node->left, record, distance - 1, level + 1);
// Visit right subtree
this->findTopNode(node->right, record, distance + 1, level + 1);
}
}
void topViewNodeSum()
{
if (this->root != NULL)
{
// Use to collect elements of top view
unordered_map < int, int > record;
this->findTopNode(this->root, record, 0, 0);
int sum = 0;
// Sum top view nodes
for (auto &info: record)
{
sum += record[info.first];
}
// Display calculated result
cout << " Sum : " << sum << endl;
}
}
};
int main()
{
BinaryTree *tree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree->root = new TreeNode(1);
tree->root->left = new TreeNode(2);
tree->root->right = new TreeNode(3);
tree->root->right->right = new TreeNode(6);
tree->root->right->right->right = new TreeNode(9);
tree->root->right->left = new TreeNode(5);
tree->root->left->left = new TreeNode(4);
tree->root->left->left->right = new TreeNode(7);
tree->root->left->left->right->left = new TreeNode(-2);
tree->root->left->left->right->left->left = new TreeNode(8);
tree->root->left->left->right->right = new TreeNode(11);
tree->root->right->right->right->left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree->topViewNodeSum();
return 0;
}
Output
Sum : 33
package main
import "fmt"
// Go program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
type TreeNode struct {
// Data value
data int
// Indicates left and right subtree
left * TreeNode
right * TreeNode
}
func getTreeNode(data int) * TreeNode {
var me *TreeNode = &TreeNode {}
me.data = data
me.left = nil
me.right = nil
return me
}
type BinaryTree struct {
root * TreeNode
}
func getBinaryTree() * BinaryTree {
var me *BinaryTree = &BinaryTree {}
me.root = nil
return me
}
func(this BinaryTree) findTopNode(node * TreeNode,
record map[int] int, distance int, level int) {
if node != nil {
if _, found := record[distance] ; !found {
// Get top view element
record[distance] = node.data
}
// Visit left subtree
this.findTopNode(node.left, record, distance - 1, level + 1)
// Visit right subtree
this.findTopNode(node.right, record, distance + 1, level + 1)
}
}
func(this BinaryTree) topViewNodeSum() {
if this.root != nil {
// Use to collect elements of top view
var record = make(map[int] int)
this.findTopNode(this.root, record, 0, 0)
var sum int = 0
// Sum top view nodes
for _, v := range record {
sum += v
}
// Display calculated result
fmt.Println(" Sum : ", sum)
}
}
func main() {
var tree * BinaryTree = getBinaryTree()
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = getTreeNode(1)
tree.root.left = getTreeNode(2)
tree.root.right = getTreeNode(3)
tree.root.right.right = getTreeNode(6)
tree.root.right.right.right = getTreeNode(9)
tree.root.right.left = getTreeNode(5)
tree.root.left.left = getTreeNode(4)
tree.root.left.left.right = getTreeNode(7)
tree.root.left.left.right.left = getTreeNode(-2)
tree.root.left.left.right.left.left = getTreeNode(8)
tree.root.left.left.right.right = getTreeNode(11)
tree.root.right.right.right.left = getTreeNode(10)
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum()
}
Output
Sum : 33
// Include namespace system
using System;
using System.Collections.Generic;
// Csharp program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
public class TreeNode
{
// Data value
public int data;
// Indicates left and right subtree
public TreeNode left;
public TreeNode right;
public TreeNode(int data)
{
this.data = data;
this.left = null;
this.right = null;
}
}
public class BinaryTree
{
public TreeNode root;
public BinaryTree()
{
this.root = null;
}
public void findTopNode(TreeNode node,
Dictionary < int, int > record,
int distance, int level)
{
if (node != null)
{
if (!record.ContainsKey(distance))
{
// Get top view element
record.Add(distance, node.data);
}
// Visit left subtree
this.findTopNode(node.left, record, distance - 1, level + 1);
// Visit right subtree
this.findTopNode(node.right, record, distance + 1, level + 1);
}
}
public void topViewNodeSum()
{
if (this.root != null)
{
// Use to collect elements of top view
Dictionary < int, int > record = new Dictionary < int, int > ();
this.findTopNode(this.root, record, 0, 0);
int sum = 0;
// Sum top view nodes
foreach(KeyValuePair < int, int > node in record)
{
sum += node.Value;
}
// Display calculated result
Console.WriteLine(" Sum : " + sum);
}
}
public static void Main(String[] args)
{
BinaryTree tree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = new TreeNode(1);
tree.root.left = new TreeNode(2);
tree.root.right = new TreeNode(3);
tree.root.right.right = new TreeNode(6);
tree.root.right.right.right = new TreeNode(9);
tree.root.right.left = new TreeNode(5);
tree.root.left.left = new TreeNode(4);
tree.root.left.left.right = new TreeNode(7);
tree.root.left.left.right.left = new TreeNode(-2);
tree.root.left.left.right.left.left = new TreeNode(8);
tree.root.left.left.right.right = new TreeNode(11);
tree.root.right.right.right.left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
}
Output
Sum : 33
<?php
// Php program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
// Data value
public $data;
// Indicates left and right subtree
public $left;
public $right;
public function __construct($data)
{
$this->data = $data;
$this->left = NULL;
$this->right = NULL;
}
}
class BinaryTree
{
public $root;
public function __construct()
{
$this->root = NULL;
}
public function findTopNode($node, &$record, $distance, $level)
{
if ($node != NULL)
{
if (!array_key_exists($distance, $record))
{
// Get top view element
$record[$distance] = $node->data;
}
// Visit left subtree
$this->findTopNode($node->left,
$record, $distance - 1, $level + 1);
// Visit right subtree
$this->findTopNode($node->right,
$record, $distance + 1, $level + 1);
}
}
public function topViewNodeSum()
{
if ($this->root != NULL)
{
// Use to collect elements of top view
$record = array();
$this->findTopNode($this->root, $record, 0, 0);
$sum = 0;
// Sum top view nodes
foreach($record as $key => $value)
{
$sum += $value;
}
// Display calculated result
echo(" Sum : ".$sum."\n");
}
}
}
function main()
{
$tree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
$tree->root = new TreeNode(1);
$tree->root->left = new TreeNode(2);
$tree->root->right = new TreeNode(3);
$tree->root->right->right = new TreeNode(6);
$tree->root->right->right->right = new TreeNode(9);
$tree->root->right->left = new TreeNode(5);
$tree->root->left->left = new TreeNode(4);
$tree->root->left->left->right = new TreeNode(7);
$tree->root->left->left->right->left = new TreeNode(-2);
$tree->root->left->left->right->left->left = new TreeNode(8);
$tree->root->left->left->right->right = new TreeNode(11);
$tree->root->right->right->right->left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
$tree->topViewNodeSum();
}
main();
Output
Sum : 33
// Node JS program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
constructor(data)
{
this.data = data;
this.left = null;
this.right = null;
}
}
class BinaryTree
{
constructor()
{
this.root = null;
}
findTopNode(node, record, distance, level)
{
if (node != null)
{
if (!record.has(distance))
{
// Get top view element
record.set(distance, node.data);
}
// Visit left subtree
this.findTopNode(node.left,
record, distance - 1, level + 1);
// Visit right subtree
this.findTopNode(node.right,
record, distance + 1, level + 1);
}
}
topViewNodeSum()
{
if (this.root != null)
{
// Use to collect elements of top view
var record = new Map();
this.findTopNode(this.root, record, 0, 0);
var sum = 0;
// Sum top view nodes
for (let [key, value] of record)
{
sum += value;
}
// Display calculated result
console.log(" Sum : " + sum);
}
}
}
function main()
{
var tree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = new TreeNode(1);
tree.root.left = new TreeNode(2);
tree.root.right = new TreeNode(3);
tree.root.right.right = new TreeNode(6);
tree.root.right.right.right = new TreeNode(9);
tree.root.right.left = new TreeNode(5);
tree.root.left.left = new TreeNode(4);
tree.root.left.left.right = new TreeNode(7);
tree.root.left.left.right.left = new TreeNode(-2);
tree.root.left.left.right.left.left = new TreeNode(8);
tree.root.left.left.right.right = new TreeNode(11);
tree.root.right.right.right.left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
main();
Output
Sum : 33
# Python 3 program for
# Sum of nodes in top view of binary tree efficiently
# Using Map
class TreeNode :
# Data value
# Indicates left and right subtree
def __init__(self, data) :
self.data = data
self.left = None
self.right = None
class BinaryTree :
def __init__(self) :
self.root = None
def findTopNode(self, node, record, distance, level) :
if (node != None) :
if (not(distance in record.keys())) :
# Get top view element
record[distance] = node.data
# Visit left subtree
self.findTopNode(node.left,
record, distance - 1, level + 1)
# Visit right subtree
self.findTopNode(node.right,
record, distance + 1, level + 1)
def topViewNodeSum(self) :
if (self.root != None) :
# Use to collect elements of top view
record = dict()
self.findTopNode(self.root, record, 0, 0)
sum = 0
for key, value in record.items() :
sum += value
# Display calculated result
print(" Sum : ", sum)
def main() :
tree = BinaryTree()
# Make A Binary Tree
# -----------------------
# 1
# / \
# 2 3
# / / \
# 4 5 6
# \ \
# 7 9
# / \ /
# -2 11 10
# /
# 8
# Add Binary tree nodes
tree.root = TreeNode(1)
tree.root.left = TreeNode(2)
tree.root.right = TreeNode(3)
tree.root.right.right = TreeNode(6)
tree.root.right.right.right = TreeNode(9)
tree.root.right.left = TreeNode(5)
tree.root.left.left = TreeNode(4)
tree.root.left.left.right = TreeNode(7)
tree.root.left.left.right.left = TreeNode(-2)
tree.root.left.left.right.left.left = TreeNode(8)
tree.root.left.left.right.right = TreeNode(11)
tree.root.right.right.right.left = TreeNode(10)
# ↆ
# 1
# ↆ/ \ↆ
# 2 3
# ↆ/ /\ↆ
# 4 5 6
# \ \ↆ
# 7 9
# / \ /
# -2 11 10
# ↆ/
# 8
# ----------------
# Top element
# 8 4 2 1 3 6 9
# ----------------
# Sum : 33
tree.topViewNodeSum()
if __name__ == "__main__": main()
Output
Sum : 33
# Ruby program for
# Sum of nodes in top view of binary tree efficiently
# Using Map
class TreeNode
# Define the accessor and reader of class TreeNode
attr_reader :data, :left, :right
attr_accessor :data, :left, :right
# Data value
# Indicates left and right subtree
def initialize(data)
self.data = data
self.left = nil
self.right = nil
end
end
class BinaryTree
# Define the accessor and reader of class BinaryTree
attr_reader :root
attr_accessor :root
def initialize()
self.root = nil
end
def findTopNode(node, record, distance, level)
if (node != nil)
if (!record.key?(distance))
# Get top view element
record[distance] = node.data
end
# Visit left subtree
self.findTopNode(node.left,
record, distance - 1, level + 1)
# Visit right subtree
self.findTopNode(node.right,
record, distance + 1, level + 1)
end
end
def topViewNodeSum()
if (self.root != nil)
# Use to collect elements of top view
record = Hash.new()
self.findTopNode(self.root, record, 0, 0)
sum = 0
# Sum top view nodes
record.each { | key, value | sum += value
}
# Display calculated result
print(" Sum : ", sum, "\n")
end
end
end
def main()
tree = BinaryTree.new()
# Make A Binary Tree
# -----------------------
# 1
# / \
# 2 3
# / / \
# 4 5 6
# \ \
# 7 9
# / \ /
# -2 11 10
# /
# 8
# Add Binary tree nodes
tree.root = TreeNode.new(1)
tree.root.left = TreeNode.new(2)
tree.root.right = TreeNode.new(3)
tree.root.right.right = TreeNode.new(6)
tree.root.right.right.right = TreeNode.new(9)
tree.root.right.left = TreeNode.new(5)
tree.root.left.left = TreeNode.new(4)
tree.root.left.left.right = TreeNode.new(7)
tree.root.left.left.right.left = TreeNode.new(-2)
tree.root.left.left.right.left.left = TreeNode.new(8)
tree.root.left.left.right.right = TreeNode.new(11)
tree.root.right.right.right.left = TreeNode.new(10)
# ↆ
# 1
# ↆ/ \ↆ
# 2 3
# ↆ/ /\ↆ
# 4 5 6
# \ \ↆ
# 7 9
# / \ /
# -2 11 10
# ↆ/
# 8
# ----------------
# Top element
# 8 4 2 1 3 6 9
# ----------------
# Sum : 33
tree.topViewNodeSum()
end
main()
Output
Sum : 33
import scala.collection.mutable._;
// Scala program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode(
// Data value
var data: Int,
// Indicates left and right subtree
var left: TreeNode,
var right: TreeNode)
{
def this(data: Int)
{
this(data, null, null);
}
}
class BinaryTree(var root: TreeNode)
{
def this()
{
this(null);
}
def findTopNode(node: TreeNode,
record: HashMap[Int, Int],
distance: Int,
level: Int): Unit = {
if (node != null)
{
if (!record.contains(distance))
{
// Get top view element
record.addOne(distance, node.data);
}
// Visit left subtree
findTopNode(node.left,
record, distance - 1, level + 1);
// Visit right subtree
findTopNode(node.right,
record, distance + 1, level + 1);
}
}
def topViewNodeSum(): Unit = {
if (this.root != null)
{
// Use to collect elements of top view
var record: HashMap[Int, Int] = new HashMap[Int, Int]();
findTopNode(this.root, record, 0, 0);
var sum: Int = 0;
// Sum top view nodes
for ((key, value) <- record)
{
sum += value;
}
// Display calculated result
println(" Sum : " + sum);
}
}
}
object Main
{
def main(args: Array[String]): Unit = {
var tree: BinaryTree = new BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = new TreeNode(1);
tree.root.left = new TreeNode(2);
tree.root.right = new TreeNode(3);
tree.root.right.right = new TreeNode(6);
tree.root.right.right.right = new TreeNode(9);
tree.root.right.left = new TreeNode(5);
tree.root.left.left = new TreeNode(4);
tree.root.left.left.right = new TreeNode(7);
tree.root.left.left.right.left = new TreeNode(-2);
tree.root.left.left.right.left.left = new TreeNode(8);
tree.root.left.left.right.right = new TreeNode(11);
tree.root.right.right.right.left = new TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
}
Output
Sum : 33
import Foundation;
// Swift 4 program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
// Data value
var data: Int;
// Indicates left and right subtree
var left: TreeNode? ;
var right: TreeNode? ;
init(_ data: Int)
{
self.data = data;
self.left = nil;
self.right = nil;
}
}
class BinaryTree
{
var root: TreeNode? ;
init()
{
self.root = nil;
}
func findTopNode(_ node: TreeNode? ,
_ record : inout[Int:Int],
_ distance: Int,
_ level: Int)
{
if (node != nil)
{
if (!record.keys.contains(distance))
{
// Get top view element
record[distance] = node!.data;
}
// Visit left subtree
self.findTopNode(node!.left, &record, distance - 1, level + 1);
// Visit right subtree
self.findTopNode(node!.right, &record, distance + 1, level + 1);
}
}
func topViewNodeSum()
{
if (self.root != nil)
{
// Use to collect elements of top view
var record: [Int:Int] = [Int:Int]();
self.findTopNode(self.root, &record, 0, 0);
var sum: Int = 0;
// Sum top view nodes
for (_, value) in record
{
sum += value;
}
// Display calculated result
print(" Sum : ", sum);
}
}
}
func main()
{
let tree: BinaryTree = BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = TreeNode(1);
tree.root!.left = TreeNode(2);
tree.root!.right = TreeNode(3);
tree.root!.right!.right = TreeNode(6);
tree.root!.right!.right!.right = TreeNode(9);
tree.root!.right!.left = TreeNode(5);
tree.root!.left!.left = TreeNode(4);
tree.root!.left!.left!.right = TreeNode(7);
tree.root!.left!.left!.right!.left = TreeNode(-2);
tree.root!.left!.left!.right!.left!.left = TreeNode(8);
tree.root!.left!.left!.right!.right = TreeNode(11);
tree.root!.right!.right!.right!.left = TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
main();
Output
Sum : 33
// Kotlin program for
// Sum of nodes in top view of binary tree efficiently
// Using Map
class TreeNode
{
// Data value
var data: Int;
// Indicates left and right subtree
var left: TreeNode ? ;
var right: TreeNode ? ;
constructor(data: Int)
{
this.data = data;
this.left = null;
this.right = null;
}
}
class BinaryTree
{
var root: TreeNode ? ;
constructor()
{
this.root = null;
}
fun findTopNode(node: TreeNode ? ,
record : HashMap < Int, Int > ,
distance : Int, level: Int): Unit
{
if (node != null)
{
if (!record.containsKey(distance))
{
// Get top view element
record.put(distance, node.data);
}
// Visit left subtree
this.findTopNode(node.left, record, distance - 1, level + 1);
// Visit right subtree
this.findTopNode(node.right, record, distance + 1, level + 1);
}
}
fun topViewNodeSum(): Unit
{
if (this.root != null)
{
// Use to collect elements of top view
var record: HashMap < Int, Int > = HashMap < Int, Int > ();
this.findTopNode(this.root, record, 0, 0);
var sum: Int = 0;
// Sum top view nodes
for ((_, value) in record)
{
sum += value;
}
// Display calculated result
println(" Sum : " + sum);
}
}
}
fun main(args: Array < String > ): Unit
{
val tree: BinaryTree = BinaryTree();
/*
Make A Binary Tree
-----------------------
1
/ \
2 3
/ / \
4 5 6
\ \
7 9
/ \ /
-2 11 10
/
8
*/
// Add Binary tree nodes
tree.root = TreeNode(1);
tree.root?.left = TreeNode(2);
tree.root?.right = TreeNode(3);
tree.root?.right?.right = TreeNode(6);
tree.root?.right?.right?.right = TreeNode(9);
tree.root?.right?.left = TreeNode(5);
tree.root?.left?.left = TreeNode(4);
tree.root?.left?.left?.right = TreeNode(7);
tree.root?.left?.left?.right?.left = TreeNode(-2);
tree.root?.left?.left?.right?.left?.left = TreeNode(8);
tree.root?.left?.left?.right?.right = TreeNode(11);
tree.root?.right?.right?.right?.left = TreeNode(10);
/*
ↆ
1
ↆ/ \ↆ
2 3
ↆ/ /\ↆ
4 5 6
\ \ↆ
7 9
/ \ /
-2 11 10
ↆ/
8
----------------
Top element
8 4 2 1 3 6 9
----------------
Sum : 33
*/
tree.topViewNodeSum();
}
Output
Sum : 33
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