You have been given a Binary Tree of 'n' nodes, where the nodes have integer values. Your task is to return its postorder traversal.
For the given tree below,
Postorder traversal for the given tree will be [4, 5, 2, 3, 1]. Hence, the answer is [4, 5, 2, 3, 1].

The first line 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 for further clarification.
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).
Output Format:
The output contains single line of 'n' space-separated integers denoting the post-order traversal of the given binary tree.
Note:
You do not need to print anything. It has already been taken care of. Just implement the function.
1 2 3 4 -1 -1 5 6 7 -1 -1 -1 -1 -1 -1
6 7 4 2 5 3 1
The given tree is:

Postorder traversal for the given tree will be [6, 7, 4, 2, 5, 3, 1]. Hence, the answer is [6, 7, 4, 2, 5, 3, 1].
10 20 11 -1 -1 -1 -1
20 11 10
The expected time complexity is O(n).
1 <= 'n' <= 10^5
0 <= 'data' <= 10^5
where 'n' is the number of nodes and 'data' denotes the node value of the binary tree nodes.
Time limit: 1 sec
Try to use a recursive approach.
In this approach, we will create a recursive function postorder(node, ans) that will traverse all the nodes and store the postorder traversal in an array ans. We will first recursively call this function for its left and right subtree to traverse the nodes in the left and right subtree, and then insert the node’s value into ans array for each node.
Algorithm:
O(N), where N is the number of nodes in the tree.
In this approach, we traverse each node once, and there are N nodes in the tree. Hence, the overall time complexity is O(N).
O(N), where N is the number of nodes in the tree.
We use O(N) space complexity for recursive stack during recursion calls in the worst case. The space complexity O(N) is also used for storing the postorder traversal. Hence, the overall space complexity is O(N).