ssi 协议

有没有一个英语单词，正着写是一个单词，倒着写又是一个单词，且两个单词不同？ 　　这个是英语问题吗? 是, 又不完全是. 这种有规律的问题肯定是要用程序解决呀! 　　思路: 　　导入很多单词→将他们翻转过来→在翻转之前的文件中查找翻转之后的单词→如果存在, 就写入文件→重复循环直至每个单词都被查找一遍. 　　但是第一步就犯难了, 我哪里去搞很多个单词呀? 逼乎这么牛逼, 找逼乎呀. 于是我找到了这个.

　　传说中的2772, 诶有点意思, 有点意思啊. 那这个有多少个单词呢?

　　Word天! 40万个单词的阅读??? 如果完完整整地把他全部做完, 恐怕不成英语大神也成英语考神了吧. 　　既然他单词有这么多, 那我们就用他来统计一下哪些正着写是一个单词, 倒着写又是一个单词. 　　我们还是按照之前理的思路来啊, 这40万个单词, 肯定不可能全部都quique, 肯定有非常多重复的. 我们首先就得把这些重复的单词找出来, 免得一遍遍统计, 顺便呢, 在找重复单词的过程中统计一下词频. 啊, 看我多贴心, 还给你们找考试高频词汇. 　　在找之前, 我们考虑一下有没有什么特殊情况. 　　观察: 　　I am a beautiful girl! 　　发现有一个单字母单词 a 　　I’m so beautiful! 　　发现有一个’, 类似的 　　He’s coming to me! 　　也有一个’. 　　对于这种特殊情况, 我们肯定是要把他们去掉的.

　　将txt文件转换为全小写字母

　　所以我们用一下正则表达式. 将所有”‘s”转换为空格, 将所有非小写字母转换为空格, 去掉所有单字母单词.

　　再进行分词, 储存到字典words中.

　　通过循环, 将每一个词都加入到字典words中, 并且统计出现的次数.

　　对刚刚统计の数量进行排序. 　　之后再用循环并且翻转单词然后写成文件.

　　那么我们刚刚已经得到了词频和不重复的单词, 我们之后要怎么做呢?

　　当然是再遍历查找每一个单词呀, 将查找到的单词按照”原单词, 翻转单词\n”的格式写另一个txt文件, 最后再用.write()就好了. 　　看看效果?

　　啊这, 排名第一的居然是the, 然后是of, 都是不太有明确意义指向的单词.



　　再往后看一下, 都是一些常规单词.

　　排在最后的单词一般就比较奇怪了. 　　那我们来看看正着和反着都是单词的单词? 　　and, dnaare, eraon, noan, nanot, tonwas, sawii, iitime, emitdid, didhe, ehpart, trapwar, rawnow, wonlevel, levelstar, ratsnon, nonred, derlive, evilmid, dimgo, ogspots, stopsrat, tarldl, ldlten, netrefer, refercivic, civical, laeye, eyeel, lecfc, cfcspot, topssexes, sexesgod, dogtop, potsees, seessolos, solospool, loopcm, mcpop, poptenet, tenetaha, aharemark, kramertip, pitneo, oenotto, ottoere, ere 　　可以看到还是不少呀. 不过我没有去除正反都一样的单词, 不过这也不算太多吧, 没有关系. 　　那么这些就是从2772里面扒下来的正反单词了. 我们刚刚不是统计了词频吗? 那个能不能看出什么东西来?

　　啊??? 一个40万单词的阅读题集, 里面居然只有16460个unique单词, 也就是说, 如果我们能掌握大概1万6单词, 我们做GMAT GRE的阅读理解是完完全全没有问题的, 是不是一下子就有了信心?

　　那我就回答了这个问题, 顺便帮你们统计了词频. 　　那我们看一下完整代码?

　　#coding:UTF-8import reimport ospathRead=’/Users/Pandora/Downloads/’textName=’GMAT&GRE阅读大全2772篇’extension=’.txt’dictionary={}dictionaryReversed={}name=os.path.split(pathRead+textName)[-1].split(“.”)[0]name1=’Words counted and ranked_’+name+extensionname2=’Words reversed_’+name+extensionwith open(pathRead+textName+extension) as file: textData = file.read() textData=textData.lower()newText=textData.replace(“‘s”,” “)newText=re.sub(u”[^\u0061-\u007a\u00A0\u0020\u3000]”,” “,textData)newText=re.sub(“[ ][a-z][ ]”,” “,newText)words=newText.split()for word in words: if word in dictionary: dictionary[word]=dictionary[word]+1 else: dictionary[word] = 1dictionarySorted=sorted(dictionary.items(),key=lambda x:x[1],reverse=True)PreWordReversed=””if os.path.isfile(pathRead+name1) == True: os.remove(pathRead+name1)with open(pathRead+name1,’w+’) as wordsCount: for key, value in dictionarySorted: if len(key)!=1: PreWordReversed = PreWordReversed+key[::-1]+”\n” wordsCount.write(f”{key} {str(value)}\n”.format(key, value))PreWordReversed=”/”+PreWordReversedPreWordReversed=re.sub(“\n|\r|\r\n”,”/”,PreWordReversed)wordReversed=””print(len(dictionarySorted))for key,value in dictionarySorted: ifFind=PreWordReversed.find(“/”+”.join(key)+”/”) if ifFind != -1: wordReversed =wordReversed+”.join(key) + “, ” + ”.join(key)[::-1] + “\n” PreWordReversed=re.sub(“/”+”.join(key)[::-1]+”/”,””,PreWordReversed)if os.path.isfile(pathRead+name2) == True: os.remove(pathRead+name2)with open(pathRead+name2,’w+’) as wordReversedText: wordReversedText.write(wordReversed) 　　其实刚刚只有16460个不重复正常单词, 那如果我们扩大单词的数量, 我们不从文章里面选词, 我们从字典里面选词会怎么样呢? 　　同学, 这就有点多了啊. 　　well, llewre, erpre, erpup, pured, dernon, nonin, nitwo, owtfaced, decafun, nuand, dnasea, aesco, ocdeep, peedman, namby, ybmid, dimone, enoof, fosix, xisde, edday, yadtime, emitpan, napcut, tucsun, nusdog, godto, oteye, eyeiron, norion, noair, riabird, dribold, dlostar, ratsfed, defset, tesmade, edamsnow, wonstop, potever, revemis, simfar, raften, nethot, tohseven, nevesnew, wencat, tacat, talaw, walword, drowfine, enifevil, livesteel, leetstide, editcan, nacdo, odtoo, ootbig, gibgo, ogway, yawrun, nursub, busear, raelead, daelroot, toorbag, gabsleep, peelspig, giptin, nitdew, wedbow, wobnut, tunex, xetea, aetspot, topsroom, moormad, damstep, petsdevil, livedsin, nisgas, saghen, nehrat, tarbed, debwit, tiwage, egawar, rawcap, pacpin, nipso, osdraw, wardwet, tewbar, rablaid, dialyard, draywolf, flowante, etnadull, lludlip, pilrail, liarlion, noilsaw, waseven, nevepart, traplit, tilboy, yobme, empit, tipsolid, dilosll, llstraw, wartsleg, gelrobed, deborcup, pucowl, lworag, gararm, mradoor, roodton, notsoled, delosgirt, trigcrop, porcpoor, roopsore, erosla, aloak, kaobit, tibnail, lianpaced, decapsail, liaslean, naelit, titap, patcase, esacreed, deerhay, yahbe, ebass, ssadeaf, faedport, trophe, ehtax, xatpen, neppass, ssapbank, knabless, ssellevel, leveltoe, eotrank, knartow, wottan, natnote, etonfool, loofmay, yamseed, deesweb, 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urettet, tettft, tfttibbit, tibbittirrit, tirrittiu, uittiz, zittkt, tkttlv, vlttnt, tnttorot, torottpt, tpttrev, verttrew, werttrt, trttrw, wrttsst, tssttt, tttxt, txtumu, umuunix, xinuupu, upuuttu, uttuuu, uuuv, vuux, xuvav, vavvw, wvwnw, wnwxix, xixxxx, xxxzzz, zzz