惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
Secure Thoughts
罗磊的独立博客
T
The Blog of Author Tim Ferriss
人人都是产品经理
人人都是产品经理
博客园 - 叶小钗
Last Week in AI
Last Week in AI
美团技术团队
Google Online Security Blog
Google Online Security Blog
Application and Cybersecurity Blog
Application and Cybersecurity Blog
D
Docker
G
Google Developers Blog
大猫的无限游戏
大猫的无限游戏
酷 壳 – CoolShell
酷 壳 – CoolShell
小众软件
小众软件
月光博客
月光博客
L
LINUX DO - 最新话题
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
W
WeLiveSecurity
H
Heimdal Security Blog
Vercel News
Vercel News
SecWiki News
SecWiki News
Forbes - Security
Forbes - Security
Blog — PlanetScale
Blog — PlanetScale
Google DeepMind News
Google DeepMind News
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
www.infosecurity-magazine.com
www.infosecurity-magazine.com
TaoSecurity Blog
TaoSecurity Blog
T
Troy Hunt's Blog
A
About on SuperTechFans
C
Check Point Blog
S
Security Affairs
Hacker News - Newest:
Hacker News - Newest: "LLM"
AI
AI
WordPress大学
WordPress大学
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Help Net Security
Help Net Security
博客园_首页
The Last Watchdog
The Last Watchdog
S
SegmentFault 最新的问题
Hugging Face - Blog
Hugging Face - Blog
Security Archives - TechRepublic
Security Archives - TechRepublic
Engineering at Meta
Engineering at Meta
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
I
Intezer
K
Kaspersky official blog
M
MIT News - Artificial intelligence
J
Java Code Geeks
G
GRAHAM CLULEY
P
Palo Alto Networks Blog

博客园 - guolongnv

useful Claude code skills & plugins bell in bash Anaconda usage tips python编程提升1(答案篇) python编程提升1(问题篇) How p4 get authorized How to format a jason file in vim How to open utfb8 in linux env json 文件查看和编辑 How to change the color display of directories in putty? Screen frequency used commamd How to load yaml file in python How to get IPv4 address Basic mysql command 42.trapping-rain-water 3.lengthOfLongestSubstring 1.two sum pandas教程 How to make mail more effectively?
4. Median of Two Sorted Arrays
guolongnv · 2021-08-04 · via 博客园 - guolongnv

 Question

https://leetcode.com/problems/median-of-two-sorted-arrays/

Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays.

The overall run time complexity should be O(log (m+n)).

Example 1:

Input: nums1 = [1,3], nums2 = [2]
Output: 2.00000
Explanation: merged array = [1,2,3] and median is 2.

Example 2:

Input: nums1 = [1,2], nums2 = [3,4]
Output: 2.50000
Explanation: merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5.

Example 3:

Input: nums1 = [0,0], nums2 = [0,0]
Output: 0.00000

Example 4:

Input: nums1 = [], nums2 = [1]
Output: 1.00000

Example 5:

Input: nums1 = [2], nums2 = []
Output: 2.00000

Constraints:

  • nums1.length == m
  • nums2.length == n
  • 0 <= m <= 1000
  • 0 <= n <= 1000
  • 1 <= m + n <= 2000
  • -106 <= nums1[i], nums2[i] <= 106

Answer:

#!/usr/bin/python
class Solution(object):
    def findMedianSortedArrays(self, nums1, nums2):
        """
        :type nums1: List[int]
        :type nums2: List[int]
        :rtype: float
        """
        all = nums1 + nums2
        all_s=all.sort()
        n=len(all)
        print("n",n)
        if(not nums1):
            all=nums2*2
        if(not nums2):
            all=nums1*2
        print("all:",all)
        if(n%2):
            output=float(all[(n-1)/2])
        else:
            output=((all[n/2])+float(all[n/2-1]))/2
        return output