Inorder Successor in BST II

inorder_successor_bst_ii.py

"""
Given a node in a binary search tree, find the in-order successor of that node in the BST. If that node has no
in-order successor, return null.

The successor of a node is the node with the smallest key greater than node.val.

You will have direct access to the node but not to the root of the tree. Each node will have a reference to its
parent node. Below is the definition for Node:

class Node {
    public int val;
    public Node left;
    public Node right;
    public Node parent;
}


Follow up:
Could you solve it without looking up any of the node's values?



Example 1:
Input: tree = [2,1,3], node = 1
Output: 2
Explanation: 1's in-order successor node is 2. Note that both the node and the return value is of Node type.

Example 2:
Input: tree = [5,3,6,2,4,null,null,1], node = 6
Output: null
Explanation: There is no in-order successor of the current node, so the answer is null.

Example 3:
Input: tree = [15,6,18,3,7,17,20,2,4,null,13,null,null,null,null,null,null,null,null,9], node = 15
Output: 17

Example 4:
Input: tree = [15,6,18,3,7,17,20,2,4,null,13,null,null,null,null,null,null,null,null,9], node = 13
Output: 15

Example 5:
Input: tree = [0], node = 0
Output: null

Constraints:
-10^5 <= Node.val <= 10^5
1 <= Number of Nodes <= 10^4
All Nodes will have unique values.
"""
"""
# Definition for a Node.
class Node:
    def __init__(self, val):
        self.val = val
        self.left = None
        self.right = None
        self.parent = None
"""


class Solution:
    def inorderSuccessor(self, node: "Node") -> "Node":
        if node.right:
            node = node.right
            while node.left:
                node = node.left
            return node
        while node.parent and node == node.parent.right:
            node = node.parent
        return node.parent