Thursday, December 26, 2024
Google search engine
HomeData Modelling & AIFind nodes whose children have same modulo with K

Find nodes whose children have same modulo with K

Given a binary tree and an integer K, the task is to print all the nodes having children with the same remainder when divided by K. Print “-1” if no such node exists.
Examples:

Input: K = 2

           2

          / \

         3   5

        /   / \

       7   8   6

Output: 2, 5
Explanation: Children of 2 = 3 and 5. Both give remainder 1 with 2, Similarly for 5, both children give remainder as 0

Input: K = 5

          9

         / \

        7   8

           / \

          4   3

Output: -1
Explanation: There is no node having both children with same remainder with K.

 

Approach: The task can be solved using a depth-first search. Traverse the Binary tree, and for each node, check:

  • If the node has a left child
  • If the node has a right child
  • If both children give the same remainder with K
  • Store all such nodes in a vector, and print its content at the end.

Below is the implementation of the above approach:

C++




// C++ implementation to print
// the nodes having a single child
#include <bits/stdc++.h>
using namespace std;
 
// Class of the Binary Tree node
struct Node {
    int data;
    Node *left, *right;
 
    Node(int x)
    {
        data = x;
        left = right = NULL;
    }
};
 
vector<int> listOfNodes;
 
// Function to find the nodes
// having both child
// and both of them % K are same
void countNodes(Node* root, int& K)
{
    // Base case
    if (root == NULL)
        return;
 
    // Condition to check if the
    // node is having both child
    // and both of them % K are same
    if (root->left != NULL
        && root->right != NULL
        && root->left->data % K
               == root->right->data % K) {
 
        listOfNodes.push_back(root->data);
    }
 
    // Traversing the left child
    countNodes(root->left, K);
 
    // Traversing the right child
    countNodes(root->right, K);
}
 
// Driver code
int main()
{
    // Constructing the binary tree
    Node* root = new Node(2);
    root->left = new Node(3);
    root->right = new Node(5);
    root->left->left = new Node(7);
    root->right->left = new Node(8);
    root->right->right = new Node(6);
 
    int K = 2;
 
    // Function calling
    countNodes(root, K);
 
    // Condition to check if there is
    // no such node having single child
    if (listOfNodes.size() == 0)
        printf("-1");
    else {
        for (int value : listOfNodes) {
            cout << (value) << endl;
        }
    }
}


Java




// Java implementation to print
// the nodes having a single child
import java.util.*;
 
class GFG{
 
// Class of the Binary Tree node
static class Node {
    int data;
    Node left, right;
 
    Node(int x)
    {
        data = x;
        left = right = null;
    }
};
 
static Vector<Integer> listOfNodes = new Vector<Integer>();
 
// Function to find the nodes
// having both child
// and both of them % K are same
static void countNodes(Node root, int K)
{
    // Base case
    if (root == null)
        return;
 
    // Condition to check if the
    // node is having both child
    // and both of them % K are same
    if (root.left != null
        && root.right != null
        && root.left.data % K
               == root.right.data % K) {
 
        listOfNodes.add(root.data);
    }
 
    // Traversing the left child
    countNodes(root.left, K);
 
    // Traversing the right child
    countNodes(root.right, K);
}
 
// Driver code
public static void main(String[] args)
{
    // Constructing the binary tree
    Node root = new Node(2);
    root.left = new Node(3);
    root.right = new Node(5);
    root.left.left = new Node(7);
    root.right.left = new Node(8);
    root.right.right = new Node(6);
 
    int K = 2;
 
    // Function calling
    countNodes(root, K);
 
    // Condition to check if there is
    // no such node having single child
    if (listOfNodes.size() == 0)
        System.out.printf("-1");
    else {
        for (int value : listOfNodes) {
            System.out.print((value) +"\n");
        }
    }
}
}
 
// This code is contributed by 29AjayKumar


Python3




# Python code for the above approach
 
# Class of the Binary Tree node
class Node:
    def __init__(self, x):
        self.data = x
        self.left = self.right = None
 
listOfNodes = []
 
# Function to find the nodes
# having both child
# and both of them % K are same
def countNodes(root, K):
 
    # Base case
    if (root == None):
        return 0
 
    # Condition to check if the
    # node is having both child
    # and both of them % K are same
    if (root.left != None
        and root.right != None
        and root.left.data % K
            == root.right.data % K):
 
        listOfNodes.append(root.data)
 
    # Traversing the left child
    countNodes(root.left, K)
 
    # Traversing the right child
    countNodes(root.right, K)
 
 
# Driver code
 
# Constructing the binary tree
root = Node(2)
root.left = Node(3)
root.right = Node(5)
root.left.left = Node(7)
root.right.left = Node(8)
root.right.right = Node(6)
 
K = 2
 
# Function calling
countNodes(root, K)
 
# Condition to check if there is
# no such node having single child
if (len(listOfNodes) == 0):
    print("-1")
else:
    for value in listOfNodes:
        print(value)
 
# This code is contributed by Saurabh Jaiswal


C#




// C# implementation to print
// the nodes having a single child
using System;
using System.Collections.Generic;
 
public class GFG{
 
  // Class of the Binary Tree node
  class Node {
    public int data;
    public Node left, right;
 
    public Node(int x)
    {
      data = x;
      left = right = null;
    }
  };
 
  static List<int> listOfNodes = new List<int>();
 
  // Function to find the nodes
  // having both child
  // and both of them % K are same
  static void countNodes(Node root, int K)
  {
    // Base case
    if (root == null)
      return;
 
    // Condition to check if the
    // node is having both child
    // and both of them % K are same
    if (root.left != null
        && root.right != null
        && root.left.data % K
        == root.right.data % K) {
 
      listOfNodes.Add(root.data);
    }
 
    // Traversing the left child
    countNodes(root.left, K);
 
    // Traversing the right child
    countNodes(root.right, K);
  }
 
  // Driver code
  public static void Main(String[] args)
  {
    // Constructing the binary tree
    Node root = new Node(2);
    root.left = new Node(3);
    root.right = new Node(5);
    root.left.left = new Node(7);
    root.right.left = new Node(8);
    root.right.right = new Node(6);
 
    int K = 2;
 
    // Function calling
    countNodes(root, K);
 
    // Condition to check if there is
    // no such node having single child
    if (listOfNodes.Count == 0)
      Console.Write("-1");
    else {
      foreach (int values in listOfNodes) {
        Console.Write((values) +"\n");
      }
    }
  }
}
 
// This code is contributed by shikhasingrajput


Javascript




<script>
      // JavaScript code for the above approach
 
      // Class of the Binary Tree node
      class Node
      {
          constructor(x)
          {
              this.data = x;
              this.left = this.right = null;
          }
      };
 
      let listOfNodes = [];
 
      // Function to find the nodes
      // having both child
      // and both of them % K are same
      function countNodes(root, K)
      {
       
          // Base case
          if (root == null)
              return 0;
 
          // Condition to check if the
          // node is having both child
          // and both of them % K are same
          if (root.left != null
              && root.right != null
              && root.left.data % K
              == root.right.data % K) {
 
              listOfNodes.push(root.data);
          }
 
          // Traversing the left child
          countNodes(root.left, K);
 
          // Traversing the right child
          countNodes(root.right, K);
      }
 
      // Driver code
 
      // Constructing the binary tree
      let root = new Node(2);
      root.left = new Node(3);
      root.right = new Node(5);
      root.left.left = new Node(7);
      root.right.left = new Node(8);
      root.right.right = new Node(6);
 
      let K = 2;
 
      // Function calling
      countNodes(root, K);
 
      // Condition to check if there is
      // no such node having single child
      if (listOfNodes.length == 0)
          document.write("-1");
      else {
          for (let value of listOfNodes) {
              document.write((value) + "<br>");
          }
      }
 
     // This code is contributed by Potta Lokesh
  </script>


 
 

Output

2
5

 

Time Complexity: O(N)
Auxiliary Space: O(N)

 

Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!

Commit to GfG’s Three-90 Challenge! Purchase a course, complete 90% in 90 days, and save 90% cost click here to explore.

Last Updated :
24 Mar, 2023
Like Article
Save Article


Previous

<!–

8 Min Read | Java

–>


Next


<!–

8 Min Read | Java

–>

Share your thoughts in the comments

RELATED ARTICLES

Most Popular

Recent Comments