Check if a Binary Tree contains duplicate subtrees of size 2 or more
Given a Binary Tree, check whether the Binary tree contains a duplicate sub-tree of size 2 or more.
Note: Two same leaf nodes are not considered as the subtree size of a leaf node is one.
Input : Binary Tree
A
/ \
B C
/ \ \
D E B
/ \
D E
Output : Yes
Asked in : Google Interview
Tree with duplicate Sub-Tree [ highlight by blue color ellipse ]
[ Method 1]
A simple solution is that, we pick every node of tree and try to find is any sub-tree of given tree is present in tree which is identical with that sub-tree. Here we can use below post to find if a subtree is present anywhere else in tree.
Check if a binary tree is subtree of another binary tree
[Method 2 ]( Efficient solution )
An Efficient solution based on tree serialization and hashing. The idea is to serialize subtrees as strings and store the strings in hash table. Once we find a serialized tree (which is not a leaf) already existing in hash-table, we return true.
Below The implementation of above idea.
C++
// C++ program to find if there is a duplicate // sub-tree of size 2 or more. #include<bits/stdc++.h> using namespace std; // Separator node const char MARKER = '$' ; // Structure for a binary tree node struct Node { char key; Node *left, *right; }; // A utility function to create a new node Node* newNode( char key) { Node* node = new Node; node->key = key; node->left = node->right = NULL; return node; } unordered_set<string> subtrees; // This function returns empty string if tree // contains a duplicate subtree of size 2 or more. string dupSubUtil(Node *root) { string s = "" ; // If current node is NULL, return marker if (root == NULL) return s + MARKER; // If left subtree has a duplicate subtree. string lStr = dupSubUtil(root->left); if (lStr.compare(s) == 0) return s; // Do same for right subtree string rStr = dupSubUtil(root->right); if (rStr.compare(s) == 0) return s; // Serialize current subtree s = s + root->key + lStr + rStr; // If current subtree already exists in hash // table. [Note that size of a serialized tree // with single node is 3 as it has two marker // nodes. if (s.length() > 3 && subtrees.find(s) != subtrees.end()) return "" ; subtrees.insert(s); return s; } // Driver program to test above functions int main() { Node *root = newNode( 'A' ); root->left = newNode( 'B' ); root->right = newNode( 'C' ); root->left->left = newNode( 'D' ); root->left->right = newNode( 'E' ); root->right->right = newNode( 'B' ); root->right->right->right = newNode( 'E' ); root->right->right->left= newNode( 'D' ); string str = dupSubUtil(root); (str.compare( "" ) == 0) ? cout << " Yes " : cout << " No " ; return 0; } |
Java
// Java program to find if there is a duplicate // sub-tree of size 2 or more. import java.util.HashSet; public class Main { static char MARKER = '$' ; // This function returns empty string if tree // contains a duplicate subtree of size 2 or more. public static String dupSubUtil(Node root, HashSet<String> subtrees) { String s = "" ; // If current node is NULL, return marker if (root == null ) return s + MARKER; // If left subtree has a duplicate subtree. String lStr = dupSubUtil(root.left,subtrees); if (lStr.equals(s)) return s; // Do same for right subtree String rStr = dupSubUtil(root.right,subtrees); if (rStr.equals(s)) return s; // Serialize current subtree // Append random char in between the value to differentiate from 11,1 and 1,11 s = s + root.data + "%" + lStr+ "%" + rStr; // If current subtree already exists in hash // table. [Note that size of a serialized tree // with single node is 7 (3+4 accounting for special chars appended) // as it has two marker // nodes. if (s.length() > 7 && subtrees.contains(s)) return "" ; subtrees.add(s); return s; } //Function to find if the Binary Tree contains duplicate //subtrees of size 2 or more public static String dupSub(Node root) { HashSet<String> subtrees= new HashSet<>(); return dupSubUtil(root,subtrees); } public static void main(String args[]) { Node root = new Node( 'A' ); root.left = new Node( 'B' ); root.right = new Node( 'C' ); root.left.left = new Node( 'D' ); root.left.right = new Node( 'E' ); root.right.right = new Node( 'B' ); root.right.right.right = new Node( 'E' ); root.right.right.left= new Node( 'D' ); String str = dupSub(root); if (str.equals( "" )) System.out.print( " Yes " ); else System.out.print( " No " ); } } // A binary tree Node has data, // pointer to left child // and a pointer to right child class Node { int data; Node left,right; Node( int data) { this .data=data; } }; //This code is contributed by Gaurav Tiwari |
Python3
# Python3 program to find if there is # a duplicate sub-tree of size 2 or more # Separator node MARKER = '$' # Structure for a binary tree node class Node: def __init__( self , x): self .key = x self .left = None self .right = None subtrees = {} # This function returns empty if tree # contains a duplicate subtree of size # 2 or more. def dupSubUtil(root): global subtrees s = "" # If current node is None, return marker if (root = = None ): return s + MARKER # If left subtree has a duplicate subtree. lStr = dupSubUtil(root.left) if (s in lStr): return s # Do same for right subtree rStr = dupSubUtil(root.right) if (s in rStr): return s # Serialize current subtree s = s + root.key + lStr + rStr # If current subtree already exists in hash # table. [Note that size of a serialized tree # with single node is 3 as it has two marker # nodes. if ( len (s) > 3 and s in subtrees): return "" subtrees[s] = 1 return s # Driver code if __name__ = = '__main__' : root = Node( 'A' ) root.left = Node( 'B' ) root.right = Node( 'C' ) root.left.left = Node( 'D' ) root.left.right = Node( 'E' ) root.right.right = Node( 'B' ) root.right.right.right = Node( 'E' ) root.right.right.left = Node( 'D' ) str = dupSubUtil(root) if "" in str : print ( " Yes " ) else : print ( " No " ) # This code is contributed by mohit kumar 29 |
C#
// C# program to find if there is a duplicate // sub-tree of size 2 or more. using System; using System.Collections.Generic; class GFG { static char MARKER = '$' ; // This function returns empty string if tree // contains a duplicate subtree of size 2 or more. public static String dupSubUtil(Node root, HashSet<String> subtrees) { String s = "" ; // If current node is NULL, return marker if (root == null ) return s + MARKER; // If left subtree has a duplicate subtree. String lStr = dupSubUtil(root.left,subtrees); if (lStr.Equals(s)) return s; // Do same for right subtree String rStr = dupSubUtil(root.right,subtrees); if (rStr.Equals(s)) return s; // Serialize current subtree s = s + root.data + lStr + rStr; // If current subtree already exists in hash // table. [Note that size of a serialized tree // with single node is 3 as it has two marker // nodes. if (s.Length > 3 && subtrees.Contains(s)) return "" ; subtrees.Add(s); return s; } // Function to find if the Binary Tree contains // duplicate subtrees of size 2 or more public static String dupSub(Node root) { HashSet<String> subtrees = new HashSet<String>(); return dupSubUtil(root,subtrees); } // Driver code public static void Main(String []args) { Node root = new Node( 'A' ); root.left = new Node( 'B' ); root.right = new Node( 'C' ); root.left.left = new Node( 'D' ); root.left.right = new Node( 'E' ); root.right.right = new Node( 'B' ); root.right.right.right = new Node( 'E' ); root.right.right.left= new Node( 'D' ); String str = dupSub(root); if (str.Equals( "" )) Console.Write( " Yes " ); else Console.Write( " No " ); } } // A binary tree Node has data, // pointer to left child // and a pointer to right child public class Node { public int data; public Node left,right; public Node( int data) { this .data = data; } }; // This code is contributed by 29AjayKumar |
Javascript
<script> // Javascript program to find if there is a duplicate // sub-tree of size 2 or more. let MARKER = '$' ; // A binary tree Node has data, // pointer to left child // and a pointer to right child class Node { constructor(data) { this .data=data; } } // This function returns empty string if tree // contains a duplicate subtree of size 2 or more. function dupSubUtil(root,subtrees) { let s = "" ; // If current node is NULL, return marker if (root == null ) return s + MARKER; // If left subtree has a duplicate subtree. let lStr = dupSubUtil(root.left,subtrees); if (lStr==(s)) return s; // Do same for right subtree let rStr = dupSubUtil(root.right,subtrees); if (rStr==(s)) return s; // Serialize current subtree s = s + root.data + lStr + rStr; // If current subtree already exists in hash // table. [Note that size of a serialized tree // with single node is 3 as it has two marker // nodes. if (s.length > 3 && subtrees.has(s)) return "" ; subtrees.add(s); return s; } //Function to find if the Binary Tree contains duplicate //subtrees of size 2 or more function dupSub(root) { let subtrees= new Set(); return dupSubUtil(root,subtrees); } let root = new Node( 'A' ); root.left = new Node( 'B' ); root.right = new Node( 'C' ); root.left.left = new Node( 'D' ); root.left.right = new Node( 'E' ); root.right.right = new Node( 'B' ); root.right.right.right = new Node( 'E' ); root.right.right.left= new Node( 'D' ); let str = dupSub(root); if (str==( "" )) document.write( " Yes " ); else document.write( " No " ); // This code is contributed by unknown2108 </script> |
Yes
Time Complexity: O(n)
Auxiliary Space: O(n)
The time complexity of the above program is O(n) where n is the number of nodes in the given binary tree. We are using hashing to store the subtrees which take O(n) space for all the subtrees.
This article is contributed by Nishant Singh. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
Please Login to comment...