Given a binary tree, convert it into a Circular Doubly Linked List.
Linked List must follow these conditions:Left and right pointers in nodes to be used for previous and next pointers in the Circular LinkedList.
The order of nodes must be the same as the in-order traversal of the binary tree.
The first node of the in-order traversal must be the head of the Circular Doubly Linked List.
Returned Circular Doubly Linked List must be an in-placed changed Circular Doubly Linked List, you are not allowed to use any extra space to create a Circular Doubly Linked List.
Example:
In the below binary tree

The inorder traversal of this binary tree
4 => 2 => 5 => 1 => 3 => 6
Hence we return the head of this Circular Doubly Linked List.

You are not required to print the output explicitly, it has already been taken care of. Just implement the function and return the head of the Circular Doubly Linked List.
The ‘left’ pointer must point to the previous node and the ‘right’ pointer must point to the next node.
The first line of input contains an integer ‘T’ denoting the number of test cases.
The next ‘T’ lines represent the ‘T’ test cases.
The first line of input contains the elements of the tree in the level order form separated by a single space.
If any node does not have a left or right child, take -1 in its place. Refer to the example below.
Example:
Elements are in the level order form. The input consists of values of nodes separated by a single space in a single line. In case a node is null, we take -1 in its place.
For example, the input for the tree depicted in the below image would be :

1
2 3
4 -1 5 6
-1 7 -1 -1 -1 -1
-1 -1
Explanation :
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).
Note :
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
Output Format:
For every test case, return the head of the Circular Doubly Linked List.
Constraint :
1 <= T <= 100
1 <= N <= 3000
-10^9 <= data <= 10^9
Time Limit: 1 second
2
1 2 3 -1 -1 4 5 -1 -1 -1 -1
1 2 3 -1 -1 -1 2 -1 -1
2 1 4 3 5
2 1 3 2
Test case 1:

The inorder traversal of this binary tree
2 => 1 => 4 => 3 => 5
Hence we return the head ( 2 ) of this type of Circular Doubly Linked List.

Test case 2:

The inorder traversal of this binary tree
2 => 1 => 3 => 2
Hence we return the head ( 2 ) of this type of Circular Doubly Linked List.
2
1 2 -1 3 -1 4 -1 -1 -1
1 2 3 4 -1 -1 5 -1 -1 -1 -1
4 3 2 1
4 2 1 3 5
Can we use the Divide and Conquer approach?
In the in-order traversal. first, traverse the left subtree, then the root, and in the end traverse the right subtree. So try to convert the left and right subtree in doubly linked list and concatenate both subparts with the current node.
O(N), Where ‘N’ is the number of nodes in the binary tree.
We are traversing every node once.
O(N), Where ‘N’ is the number of nodes in the binary tree.
We are using a linear space recursion call stack.