
Consider the binary tree below and the following circular doubly linked list.

The head node of the above doubly linked list should be the node with value 12.
The first line contains an integer 'T' which denotes the number of test cases or queries to be run. Then the test cases follow.
The only line of each test case contains elements 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. So -1 would not be a part of the tree nodes.
For example, the input for the tree depicted in the below image will 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 first not-null node(of the previous level) is treated as the parent of the first two nodes of the current level. The second not-null node (of the previous level) is treated as the parent node for the next two nodes of the current level and so on.
The input ends when all nodes at the last level are 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 nodes of the circular doubly linked list separated by a single space.
Print the output of each test case in a separate line.
You do not need to print anything, it has already been taken care of. Just implement the given function.
1 <= 'T' <= 100
1 <= 'N' <= 3000
0 <= 'data' <= 10^5 and 'data' != -1
Where 'data' is the value of the binary tree node.
Time Limit: 1 sec
The idea is to use inorder/postorder traversal to recursively convert the left and right subtrees to doubly circular linked lists and then merge the results of the left and the right subtrees with the root to get the final circular linked list.
The steps are as follows:
For merging any two circular doubly linked lists, let’s say listOne and listTwo follow the below steps: