-
Notifications
You must be signed in to change notification settings - Fork 25
/
Copy path109_ConvertSortedListToBinarySearchTree.py
65 lines (46 loc) · 1.72 KB
/
109_ConvertSortedListToBinarySearchTree.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
# coding: utf8
"""
题目链接: https://leetcode.com/problems/convert-sorted-list-to-binary-search-tree/description.
题目描述:
Given a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.
For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees
of every node never differ by more than 1.
Example:
Given the sorted linked list: [-10,-3,0,5,9],
One possible answer is: [0,-3,9,-10,null,5], which represents the following height balanced BST:
0
/ \
-3 9
/ /
-10 5
"""
# Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def sortedListToBST(self, head):
"""
:type head: ListNode
:rtype: TreeNode
"""
return self.construct_binary_search_tree_with_fast_snow_pointers(head, None)
# 快慢指针, 建立二叉搜索树
def construct_binary_search_tree_with_fast_snow_pointers(self, head, last):
if head == last:
return None
fast = snow = head
while fast != last and fast.next != last:
snow, fast = snow.next, fast.next.next
left = self.construct_binary_search_tree_with_fast_snow_pointers(head, snow)
right = self.construct_binary_search_tree_with_fast_snow_pointers(snow.next, last)
root = TreeNode(snow.val)
root.left, root.right = left, right
return root