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1534.convert-binary-search-tree-to-sorted-doubly-linked-list.py
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# Tag: Binary Search Tree, Linked List, Binary Tree, Divide and Conquer
# Time: O(N)
# Space: O(H)
# Ref: -
# Note: BST | Leetcode-426
# Convert a BST to a sorted circular doubly-linked list in-place.
# Think of the left and right pointers as synonymous to the previous and next pointers in a doubly-linked list.
#
# Let's take the following BST as an example, it may help you understand the problem better:
#
# 
#
# We want to transform this BST into a circular doubly linked list.
# Each node in a doubly linked list has a predecessor and successor.
# For a circular doubly linked list, the predecessor of the first element is the last element, and the successor of the last element is the first element.
#
# The figure below shows the circular doubly linked list for the BST above.
# The "head" symbol means the node it points to is the smallest element of the linked list.
#
# 
#
# Specifically, we want to do the transformation in place.
# After the transformation, the left pointer of the tree node should point to its predecessor, and the right pointer should point to its successor.
# We should return the pointer to the first element of the linked list.
#
# The figure below shows the transformed BST.
# The solid line indicates the successor relationship, while the dashed line means the predecessor relationship.
#
# 
#
# **Example 1:**
# ```
# Input: {4,2,5,1,3}
# 4
# / \
# 2 5
# / \
# 1 3
# Output: "left:1->5->4->3->2 right:1->2->3->4->5"
# Explanation:
# Left: reverse output
# Right: positive sequence output
# ```
# **Example 2:**
# ```
# Input: {2,1,3}
# 2
# / \
# 1 3
# Output: "left:1->3->2 right:1->2->3"
# ```
#
#
"""
Definition of TreeNode:
class TreeNode:
def __init__(self, val):
self.val = val
self.left, self.right = None, None
"""
class Solution:
"""
@param root: root of a tree
@return: head node of a doubly linked list
"""
def treeToDoublyList(self, root):
# Write your code here.
node = root
stack = []
head = None
last = None
while len(stack) > 0 or node:
while node:
stack.append(node)
node = node.left
node = stack.pop()
if head is None:
head = node
if last:
last.right = node
node.left = last
last = node
node = node.right
head.left = last
last.right = head
return head