将文件中的access_token换成自己的即可,其他的直接操作即可。
如有疑问看我的csdn博客
2024/6/30 16:34:08 1KB 百度识别 百度ocr api识别 前端
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1.设计扫描程序,将任何一种整数运算表达式(无变量,操作数为正整数,允许加减乘除四种运算,允许使用括号和多层括号)识别为单词,并能发现单词的拼写错误2.设计自底向上分析程序,在栈上实现对单词token串的自底向上分析3.根据算符优先文法的分析步骤,展示分析栈、token串的状态变化、相关量的优先级比较(算符优先分析表)结果输出、判断当前是否进行规约或移进操作、(若须规约)显示当前应规约的串4.展示语法树
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为c++实现Tokenizer,就像java里面的stringtokenizer
2024/6/30 6:33:48 762B 机器翻译模型
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词法分析是从左向右扫描每行源程序的符号,拼成单词,换成统一的机内表示形式——TOKEN字,送给语法分析程序。
TOKEN字是一个二元式:(单词种别码,自身值)。
PL/0语言单词的种别码用整数表示,可参考教材或自行设定;
单词自身值按如下规则给出:(1)标识符的自身值是它在符号表的入口地址。
(2)常数的自身值是常数本身(或它的二进制数值)。
(3)关键字和界限符的自身值为本身。
2024/6/26 22:31:13 146KB 编译原理
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DistributedSystems(3rd)英文无水印原版pdf第3版pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络,如有侵权,请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书Copyright@2017MaartenvanSteenandAndrewS.TanenbaumPublishedbyMaartenvanSteenThisbookwaspreviouslypublishedby:PearsonEducation,IncISBN:978-15-430573-8-6(printedversion)ISBN:978-90-815406-2-9(digitalversion)Edition:3.Version:01(February2017)AllrightstotextandillustrationsarereservedbyMaartenvanSteenandAndrewS.Tanenbaum.Thisworkmaynotbecopied,reproduced,ortranslatedinwholeorpartwithoutwrittenpermissionofthepublisher,exceptforbriefexcerptsinreviewsorscholanyformofinformationstorageadaptationorwhatever,computersoftware,orbysimilarordissimilarmethodsnowknownordevelopedinthefutureisstrictlyforbiddenwithoutwrittenpermissionofthepublisherToMarielle,max,andelkeMVSToSuzanneBarbara,Marvin,Aronnathan,olivia,andmirteASTCONTENTSPreface1Introduction1.1Whatisadistributedsystem?Characteristic1:Collectionofautonomouscomputingelements2Characteristic2:SinglecoherentsystemMiddlewareanddistributedsystems1.2DesigngoalsSupportingresourcesharingMakingdistributiontransparent12Beingscalable15Pitfalls243Typesofdistributedsystems24Highperformancedistributedcomputing25Distributedinformationsystems34Pervasivesystems1.4Summary522Architectures552.1Architecturalstyles56Layeredarchitectures.57Object-basedandservice-orientedarchitectures62Resource-basedarchitectures64Publish-subscribearchitectures2.2MiddlewareorganizationWrappersInterceptors垂番Modifiablemiddleware752.3SystemarchitectureCONTENTSCentralizedorganizations76Decentralizedorganizations:peer-to-peersystemsHybridarchitectures2.4Examplearchitectures94TheNetworkFilesystem94TheWeb982.5Summary3Processes1033.1Threads..104Introductiontothreads104Threadsindistributedsystems1113.2Virtualization116Principleofvirtualizationapplicationofvirtualmachinestodistributedsystems,1223.3Clients124Networkeduserinterfaces124Client-sidesoftwarefordistributiontransparency1273.4Servers128Generaldesignissues129Objectservers133Example:TheApacheWebserver139Serverclusters,,,,,,,1413.5Codemigration152Reasonsformigratingcode152Migrationinheterogeneoussystems1583.6Summary1614Communication4.1Foundations164LayeredProtocols164TypesofCommunication.1724.2Remoteprocedurecall..173Basicrpcoperation174Parameterpassing178RPC-basedapplicationsupport182VariationsonrPc185Example:dCErPc,.1884.3Message-orientedcommunication193Simpletransientmessagingwithsockets.193Advancedtransientmessaging198Message-orientedpersistentcommunication206Example:IBM'sWebSpheremessage-queuingsystem212Example:AdvancedMessageQueuingProtocol(AMQP)....218DS3.01DOWNLOADEDBYTEWIGOMIXMAIL.INFOCONTENTS4.4Multicastcommunication221Application-leveltree-basedmulticasting221Flooding-basedmulticasting225Gossip-baseddatadissemination2294.5Summary2345Naming2375.1Names,identifiersandaddresses2385.2Flatnaming.241Simplesolutions241Home-basedapproaches245Distributedhashtables246Hierarchicalapproaches2515.3Structurednaming256Namespaces.256Nameresolution259Theimplementationofanamespace264Example:TheDomainNameSystem271Example:TheNetworkFileSystem2785.4Attribute-basednaming283Directoryservices283Hierarchicalimplementations:LDAP285Decentralizedimplementations2885.5Summary2946Coordination2976.1Clocksynchronization.298Physicalclocks299Clocksynchronizationalgorithms3026.2Logicalclocks310Lamport'slogicalclocks310Vectorclocks3166.3Mutualexclusion321322acentralizedalgorithm.322adistributedalgorithm323atoken-ringalgorithm.325adecentralizedalgorithm3266.4Electionalgorithms329Thebullyalgorithm.,..330Aringalgorithm332Electionsinwirelessenvironments333Electionsinlarge-scalesystems.3356.5Locationsystems336DOWNLOADEDBYTEWIGOMIXMAIL.INFODS301VIllCONTENTSGPS:GlobalPositioningSystem337WhengPsisnotanoption339Logicalpositioningofnodes3396.6Distributedeventmatching..343Centralizedimplementations3436.7Gossip-basedcoordination349asgregation349Apeer-samplingservice350Gossip-basedoverlayconstruction3526.8Summary3537Consistencyandreplication3557.1Introduction356Reasonsforreplication356Replicationasscalingtechnique3577.2Data-centricconsistencymodels358Continuousconsistency359Consistentorderingofoperations364Eventualconsistency3737.3Client-centricconsistencymodels375MonotonicreadsMonotonicwrites.379Readyourwrite380Writesfollowreads3827.4ReplicamanagementFindingthebestserverlocation383Contentreplicationandplacement..385Contentdistribution..388Managingreplicatedobjects3937.5Consistencyprotocols.396Continuousconsistency..........396Primary-basedprotocols398Replicated-writeprotocolsCache-coherence403Implementingclient-centricconsistency,,...4077.6Example:CachingandreplicationintheWeb4097.7Summar4208Faulttoleran4238.1Introductiontofaulttolerance424Basicconcepts.424Failuodels427Failuremaskingbyredundancy8.2Processresilience432DS3.01DOWNLOADEDBYTEWIGOMIXMAIL.INFO
2024/6/24 6:52:56 36.95MB Distributed Systems
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TheWikiTextlanguagemodelingdatasetisacollectionofover100milliontokensextractedfromthesetofverifiedGoodandFeaturedarticlesonWikipedia.
2024/6/9 10:51:16 181.42MB NLP
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采用Python3.7进行dnspodapi进行开发,在conf.ini可配置相应的token及域名,并设定解析频率时间,可以完成域名的动态解析。
2024/5/24 13:22:25 34.41MB DNSPOD
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实现了以下接口https://api-cn.faceplusplus.com/facepp/v3/comparehttps://api-cn.faceplusplus.com/facepp/v3/detecthttps://api-cn.faceplusplus.com/facepp/v3/faceset/createhttps://api-cn.faceplusplus.com/facepp/v3/faceset/addfacehttps://api-cn.faceplusplus.com/facepp/v3/search人脸识别,人脸集合创建,查找,两张人脸图片比对并对返回结果的json反序列化到实体对象,结果一目了然。
注:前提需要创建一个免费的测试账号-------//注册自己的face++账号,地址:https://console.faceplusplus.com.cn/registerStringstrApiKey="";StringstrApiSecret="";//如果需要上传人脸到人脸集合,请先创建人脸集合后填入得到的facesetToken,人脸添加到人脸集合时需要用它制定哪个集合StringstrFacesetToken="";
2024/5/18 10:12:27 270KB Face++ C# Demo
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Couldnotloadfileorassembly'Microsoft.mshtml,Version=7.0.3300.0,Culture=neutral,PublicKeyToken=b03f5f7f11d50a3a'oroneofitsdependencies.系统找不到指定的文件IIS发布MVC程序报Microsoft.mshtml找不到指定文件将压缩包中的两个dll解压到你的bin文件夹中重启IIS即可
2024/4/30 13:45:12 501KB Microsoft.ms MVC .Net 报错
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casccurl-v-H“X-CasC令牌:93eb135e-dd46-43cf-a12a-461b97007364”“”-k导出TOKEN=“admin:114bc396134b9502c2084da93a21e1e3ff”curl-v“https://${TOKEN}@cb-core.caternberg.eu/master3/configuration-as-code/checNewSource?newSource=''“'”curl-v-obeer-1.1.hpi
2024/4/30 6:44:43 20KB Shell
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在日常工作中,钉钉打卡成了我生活中不可或缺的一部分。然而,有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚,我总是得牢记打开钉钉应用,点击"工作台",再找到"考勤打卡"进行签到。有时候因为工作忙碌,会忘记打卡,导致考勤异常,影响当月的工作评价。而且,由于我使用的是苹果手机,有时候系统更新后,钉钉的某些功能会出现异常,使得打卡变得更加麻烦。 另外,我的家人使用的是安卓手机,他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说,每次打卡都是一次挑战。他们总是担心自己会操作失误,导致打卡失败。 为了解决这些烦恼,我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习,我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。
2024-04-09 15:03 15KB 钉钉 钉钉打卡