matching

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am facing a problem in django-allauth . I configured localhost:9000/admin/ with following details socialapp . provider: Name: Client id: App ID, or consumer key Key: Secret: etc . I set the SITE_ID = 2 (Because I changed the default site example.com to localhost:9000) In setting.py INSTALLED_APPS = ( 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.admin', 'uni_form', 'allauth', 'allauth.account', 'allauth

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm on a MacBook Pro running Snow Leopard 10.6.8 and Python 2.7.2. I went on the pygame website, downloaded and installed all the required frameworks and programs, compiled and installed pygame, but I cant import the module into python. I downloaded an example program off of the pygame website and every time I run it I get this error: Traceback (most recent call last): File "/Users/jesse/Downloads/PurpleMines/PurpleMines.py", line 3, in from pygame import * File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have C++ code that maps GUID(unsigned long) to structure. #include #include #include typedef unsigned long GUID; enum Function { ADDER = 1, SUBTRACTOR = 2, MULTIPLIER = 3, SQUAREROOT = 4 }; struct PluginInfo { GUID guid; std::string name; Function function; PluginInfo(GUID _guid, std::string _name, Function _function) {guid = _guid, name = _name, function = _function;} }; typedef std::map PluginDB; PluginInfo temp1(1, "Adder", ADDER); PluginInfo temp2(2, "Multiplier", MULTIPLIER); PluginDB::value_type pluginDbArray[] = { PluginDB::value

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: So i'm practicing some sql coding for a test and I can't get a foreign key to reference a primary key. Here's the table that doesn't work: CREATE TABLE ASSIGNMENT ( ASSIGN_ID NUMBER ( 2 ) NOT NULL , START_DATE DATE , END_DATE DATE , BUDGET NUMBER ( 10 , 2 ), MANAGER_ID NUMBER ( 2 ), PRIMARY KEY ( ASSIGN_ID , MANAGER_ID ), FOREIGN KEY ( MANAGER_ID ) REFERENCES EMPLOYEE ( EMP_ID ) ); Here's the table it is referencing: CREATE TABLE EMPLOYEE ( EMP_ID NUMBER ( 2 ) NOT NULL , NAME VARCHAR ( 40 ), OFFICE VARCHAR ( 20 ), EXPERT_ID NUMBER

在git clone 项目的时候， 竟然报错了：no matching key exchange method found. Their offer: diffie-hellman-group1-sha1 那么，想要解决此问题， 则需要在用户目录下的 .ssh文件夹下新建一个 config 文件，添加： 　　 Host * 　　KexAlgorithms +diffie -hellman -group1 -sha1 　　 然后，再重新执行 git clone : 至此， git clone 成功， 问题解决！ 原文：https://www.cnblogs.com/suwyer/p/9256102.html

用深度学习（DNN）构建推荐系统 - Deep Neural Networks for YouTube Recommendations论文精读 清凇 勇敢闯一闯 292 人赞了该文章 这篇论文 Deep Neural Networks for YouTube Recommendations 是google的YouTube团队在推荐系统上DNN方面的尝试，发表在16年9月的RecSys会议。虽然去年读过，一方面因为这篇paper的来源于youtube团队的工业实践，G家的东西，非常值得好好研究下；另一方面，目前正在公司推进的项目对该论文有参考（both method and insight），也正准备在team内部分享下，因此整理下论文精读笔记。（PS：为方便阅读，下文以第一人称代替作者） 虽然国内必须翻墙才能登录YouTube，但想必大家都知道这个网站。基本上算是世界范围内视频领域的最大的网站了，坐拥10亿量级的用户，网站内的视频推荐自然是一个非常重要的功能。本文就focus在 YouTube视频推荐的DNN算法，文中不但详细介绍了Youtube推荐算法和架构细节，还给了不少 practical lessons and insights，很值得精读一番 。下图便是YouTube APP视频推荐的一个例子。 在推荐系统领域，特别是YouTube的所在视频推荐领域，主要面临三个挑战：

I have generated an string using the following alphabet. {A,C,G,T} . And my string contains more than 10000 characters. I'm searching the following patterns in it. ATGGA TGGAC CCGT I have asked to use a string matching algorithm which has O(m+n) running time. m = pattern length n = text length Both KMP and Rabin-Karp algorithms have this running time. What is the most suitable algorithm (between Rabin-Carp and KMP) in this situation? Ivaylo Strandjev When you want to search for multiple patterns, typically the correct choice is to use Aho-Corasick , which is somewhat a generalization of KMP .

The Problem Here's the essence of the problem I want to solve. We have workers taking care of children in a nursery for set times during the weekend. There's 16 different slots to fill in one weekend. So for a 4-week month there's 64 slots to fill. We have at max 30 nursery workers (though we need much more. anybody like kids?). EDIT: Each time slot is discrete - they don't overlap. Currently there's a person who comes up with the nursery schedule each month. It's a complex and time consuming task to make this schedule every month with everybody's preferences. After considering the problem I

题目分析： 这个题又是做类似正则匹配的，和 【LeetCode】10. Regular Expression Matching 基本一致。我们采用动态规划解决，创建状态数组dp然后分别判断是*怎么处理，或者是?怎么处理，详见测试代码。 测试代码： class Solution: def isMatch(self, s, p): m, n = len(s), len(p) #状态数组，表示从s的i到p的j是否可以匹配 dp = [[False for j in range(n + 1)] for i in range(m + 1)] dp[0][0] = True #当s为空时必须有*才可能满足匹配，并且他的真值一定和去掉*及其前面的符号相同 for j in range(1, n + 1): dp[0][j] = p[j - 1] == '*' and dp[0][j - 1] for i in range(1, m + 1): for j in range(1, n + 1): # 当 p上一个字符为'？'或者p上一个字符等于s上一个字符，则当前真值与上一位相同 if p[j - 1] == s[i - 1] or p[j - 1] == '?': dp[i][j] = dp[i - 1][j - 1] # p上一个字符为'*'时，则*可表示p往后走一位或者s往后走一位 elif

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/fuxuemingzhu/article/details/82834760 【LeetCode】792. Number of Matching Subsequences 解题报告（Python） 作者： 负雪明烛 id： fuxuemingzhu 个人博客： http://fuxuemingzhu.cn/ 题目地址： https://leetcode.com/problems/number-of-matching-subsequences/description/ 题目描述： Given string S and a dictionary of words word s, find the number of words[i] that is a subsequence of S. Example : Input: S = "abcde" words = ["a", "bb", "acd", "ace"] Output: 3 Explanation: There are three words in words that are a subsequence of S: "a", "acd", "ace". Note: All words in words and S will only