For the given binary tree: [1, 2, 1, -1, -1, 2, 1, -1, -1, -1, -1]
Start Node: 3
1
/ \
2 1
/ \
2 1
The answer should be [[2]] because the subtree [2] is present 2 times.
The first line contains a single integer ‘T’ representing the number of test cases. Then each test case follows.
The first line of each test case contains elements of the tree in the level order form. The line consists of values of nodes separated by a single space. In case a node is null, we take -1 in its place.
For example, the input for the tree depicted in the above image would be :
1
2 3
4 -1 5 6
-1 7 -1 -1 -1 -1
-1 -1
Level 1 :
The root node of the tree is 1
Level 2 :
Left child of 1 = 2
Right child of 1 = 3
Level 3 :
Left child of 2 = 4
Right child of 2 = null (-1)
Left child of 3 = 5
Right child of 3 = 6
Level 4 :
Left child of 4 = null (-1)
Right child of 4 = 7
Left child of 5 = null (-1)
Right child of 5 = null (-1)
Left child of 6 = null (-1)
Right child of 6 = null (-1)
Level 5 :
Left child of 7 = null (-1)
Right child of 7 = null (-1)
The above format was just to provide clarity on how the input is formed for a given tree.
The sequence will be put together in a single line separated by a single space.
Hence, for the above-depicted tree, the input will be given as:
1 2 3 4 -1 5 6 -1 7 -1 -1 -1 -1 -1 -1
For each test case, print the subtrees that are present more than once in the tree.
The output of each test case should be printed in a separate line.
You are not required to print anything, it has already been taken care of. Just implement the function.
1 <= T <= 5
1 <= N (Number of Nodes) <= 10^5
1 <= VALUE of the nodes <= 10^9
Time Limit = 1 sec
Run backtracking and find the subtrees that are duplicates. Store the current node value and its left and right nodes in a specific order and check whether they are duplicates or not.
Preorder Traversal
Preorder Traversal
Inorder Traversal
Inorder Traversal
Inorder Traversal
Inorder Traversal
Inorder Traversal
Postorder Traversal
Postorder Traversal
Height of Binary Tree
Height of Binary Tree
Height of Binary Tree
Height of Binary Tree
Locked Binary Tree