array(2) { ["docs"]=> array(10) { [0]=> array(10) { ["id"]=> string(3) "428" ["text"]=> string(77) "Visual Studio 2017 单独启动MSDN帮助(Microsoft Help Viewer)的方法" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(8) "DonetRen" ["tagsname"]=> string(55) "Visual Studio 2017|MSDN帮助|C#程序|.NET|Help Viewer" ["tagsid"]=> string(23) "[401,402,403,"300",404]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511400964" ["_id"]=> string(3) "428" } [1]=> array(10) { ["id"]=> string(3) "427" ["text"]=> string(42) "npm -v;报错 cannot find module "wrapp"" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(4) "zzty" ["tagsname"]=> string(50) "node.js|npm|cannot find module "wrapp“|node" ["tagsid"]=> string(19) "[398,"239",399,400]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511400760" ["_id"]=> string(3) "427" } [2]=> array(10) { ["id"]=> string(3) "426" ["text"]=> string(54) "说说css中pt、px、em、rem都扮演了什么角色" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(12) "zhengqiaoyin" ["tagsname"]=> string(0) "" ["tagsid"]=> string(2) "[]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511400640" ["_id"]=> string(3) "426" } [3]=> array(10) { ["id"]=> string(3) "425" ["text"]=> string(83) "深入学习JS执行--创建执行上下文(变量对象,作用域链,this)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "Ry-yuan" ["tagsname"]=> string(33) "Javascript|Javascript执行过程" ["tagsid"]=> string(13) "["169","191"]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511399901" ["_id"]=> string(3) "425" } [4]=> array(10) { ["id"]=> string(3) "424" ["text"]=> string(30) "C# 排序技术研究与对比" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(9) "vveiliang" ["tagsname"]=> string(0) "" ["tagsid"]=> string(2) "[]" ["catesname"]=> string(8) ".Net Dev" ["catesid"]=> string(5) "[199]" ["createtime"]=> string(10) "1511399150" ["_id"]=> string(3) "424" } [5]=> array(10) { ["id"]=> string(3) "423" ["text"]=> string(72) "【算法】小白的算法笔记:快速排序算法的编码和优化" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(9) "penghuwan" ["tagsname"]=> string(6) "算法" ["tagsid"]=> string(7) "["344"]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511398109" ["_id"]=> string(3) "423" } [6]=> array(10) { ["id"]=> string(3) "422" ["text"]=> string(64) "JavaScript数据可视化编程学习(二)Flotr2,雷达图" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "chengxs" ["tagsname"]=> string(28) "数据可视化|前端学习" ["tagsid"]=> string(9) "[396,397]" ["catesname"]=> string(18) "前端基本知识" ["catesid"]=> string(5) "[198]" ["createtime"]=> string(10) "1511397800" ["_id"]=> string(3) "422" } [7]=> array(10) { ["id"]=> string(3) "421" ["text"]=> string(36) "C#表达式目录树(Expression)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(4) "wwym" ["tagsname"]=> string(0) "" ["tagsid"]=> string(2) "[]" ["catesname"]=> string(4) ".NET" ["catesid"]=> string(7) "["119"]" ["createtime"]=> string(10) "1511397474" ["_id"]=> string(3) "421" } [8]=> array(10) { ["id"]=> string(3) "420" ["text"]=> string(47) "数据结构 队列_队列实例:事件处理" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "idreamo" ["tagsname"]=> string(40) "C语言|数据结构|队列|事件处理" ["tagsid"]=> string(23) "["246","247","248",395]" ["catesname"]=> string(12) "数据结构" ["catesid"]=> string(7) "["133"]" ["createtime"]=> string(10) "1511397279" ["_id"]=> string(3) "420" } [9]=> array(10) { ["id"]=> string(3) "419" ["text"]=> string(47) "久等了,博客园官方Android客户端发布" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(3) "cmt" ["tagsname"]=> string(0) "" ["tagsid"]=> string(2) "[]" ["catesname"]=> string(0) "" ["catesid"]=> string(2) "[]" ["createtime"]=> string(10) "1511396549" ["_id"]=> string(3) "419" } } ["count"]=> int(200) } 222 链表排序-归并排序和快速排序 - 爱码网

LeetCode148 SortList

题意:给定一个链表,要求用O(n log n) 的复杂度进行排序。

直观的链表归并排序:

 1 class Solution:
 2     # @param head, a ListNode
 3     # @return a ListNode
 4     def sortList(self, head):
 5         if  not head or not head.next :return head
 6         p , one,two=ListNode(0),head,head
 7         p.next=head
 8         while two and two.next:
 9             p = one
10             one , two = one.next,two.next.next
11         p.next=None  # 截断  
12         lhead=self.sortList(head)
13         rhead=self.sortList(one)
14         return self.merge(lhead,rhead)
15 
16     def merge(self,lhead,rhead):       
17         head = ListNode(-1) #表头
18         p,prep=None,head
19         while lhead and rhead:
20             if lhead.val < rhead.val:
21                 p ,lhead= lhead,lhead.next
22             else:
23                 p,rhead=rhead,rhead.next
24             prep.next=p
25             prep=prep.next
26         
27         while lhead:
28             p , lhead= lhead,lhead.next
29             prep.next=p
30             prep=prep.next
31         while rhead:
32             p,rhead=rhead,rhead.next
33             prep.next=p
34             prep=prep.next
35 
36         return head.next

 

快速排序,因为是链表不能用下标快速访问,挖坑法不适用,这里采用《算法导论》中的单向双指针法,end记录边界不采用None截断

 1 class ListNode(object):  
 2     def __init__(self, x):  
 3         self.val = x  
 4         self.next = None  
 5   
 6 class Solution(object):  
 7     def sortList(self, head):  
 8         """ 
 9         sort list using quick sort 
10         :type head: ListNode 
11         :rtype: ListNode 
12         """  
13         if head is None:  
14             return None  
15         tail = self.get_tail(head)  
16         head, tail = self.quick_sort(head, tail)  
17         tail.next = None  
18         return head  
19   
20     def quick_sort(self, head, tail):  
21         """ 
22         Sort in place 
23         :param head: 
24         :param tail: 
25         :return: 
26         """  
27         if head is not tail:  
28             head_left, tail_left, head_ref, tail_ref, head_right, tail_right = self.quicksort_partition(head, tail)  
29             if head_left is None:  # if there is no node in left part after partition  
30                 head = head_ref  
31             else:  
32                 head_left, tail_left = self.quick_sort(head_left, tail_left)  
33                 head = head_left  
34                 tail_left.next = head_ref  
35             if head_right is None:  # if there is no node in right part after partition  
36                 tail = tail_ref  
37             else:  
38                 head_right, tail_right = self.quick_sort(head_right, tail_right)  
39                 tail_ref.next = head_right  
40                 tail = tail_right  
41         return head, tail  
42   
43   
44     def quicksort_partition(self, head, tail):  
45         reference = tail  
46         head_ref, tail_ref = reference, reference  
47         head_left, tail_left, head_right, tail_right = None, None, None, None  
48   
49         sentinel = ListNode(None)  # use sentinel to simplify the code  
50         sentinel.next = head  
51         node = sentinel  
52         while node.next is not tail:  
53             node = node.next  
54             if node.val > reference.val:  # put node into right part  
55                 if head_right is not None:  
56                     tail_right.next = node  
57                     tail_right = node  
58                 else:  # right part is empty  
59                     head_right = node  
60                     tail_right = node  
61             elif node.val < reference.val:  # put node into left part  
62                 if head_left is not None:  
63                     tail_left.next = node  
64                     tail_left= node  
65                 else:  # left part is empty  
66                     head_left = node  
67                     tail_left = node  
68             else:  # put node into reference part  
69                 tail_ref.next = node  
70                 tail_ref = node  
71         return head_left, tail_left, head_ref, tail_ref, head_right, tail_right  
72   
73     def get_tail(self, node):  
74         while node.next:  
75             node = node.next  
76         return node  

 

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