

1. The predecessor of a node in BST is that node that will be visited just before the given node in the inorder traversal of the tree. If the given node is visited first in the inorder traversal, then its predecessor is NULL.
2. The successor of a node in BST is that node that will be visited immediately after the given node in the inorder traversal of the tree. If the given node is visited last in the inorder traversal, then its successor is NULL.
3. The node for which the predecessor and successor will not always be present. If not present, you can hypothetically assume it's position (Given that it is a BST) and accordingly find out the predecessor and successor.
4. A binary search tree (BST) is a binary tree data structure which has the following properties.
• The left subtree of a node contains only nodes with data less than the node’s data.
• The right subtree of a node contains only nodes with data greater than the node’s data.
• Both the left and right subtrees must also be binary search trees.
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.
The second line contains 'KEY' representing the data of the node for which the predecessor and successor are to be found.
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).
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
The only line contains two single space-separated integers representing data values of the predecessor and the successor node, respectively. If any of the two doesn’t exist, print -1 in place of it.
You are not required to print anything explicitly. It has already been taken care of. Just implement the function.
A node’s predecessor in a BST is the greatest value present in its left subtree. If the left subtree doesn’t exist, then the predecessor can be one of his ancestors.
Similarly, a node’s successor in a BST is the smallest value present in its right subtree. If the right subtree doesn’t exist, then the successor can be one of his ancestors.
Here is the algorithm:
Guess Price
Unique BSTs
Unique BSTs
Unique BSTs
Kth Largest Element in BST
Two Sum IV - Input is a BST
Icarus and BSTCOUNT