lines = [] line ='' for word in text.split(): print word if font.getsize(line+word)[0] >= 300: lines.append(line)

string[] FindPermutations(string word) { if (word.Length == 2) { char[] _c = word.ToCharArray(); string s =

"The english word for drei is ", D1['drei'] # better if 'drei' in D1: print "The english word for drei is

// 右偏角 $code_str = "ABCDEFGHJKLMNPQRSTUVWXYZ36"; $word_len = 4; // 验证码位数 $padding = 5; // 每两个文字之间间隔 $margin

size()); for (String word : wordSet) { Map nowMap = wordMap; for (int i = 0; i < word.length(); i++) { //

给定一段文本，此代码分析文本的词频分布，生成tag云 word frequency * @author: unknown * @since: 2007-02-27

{} for word in open(strFileName).read().split(): if count.has_key(word): count[word] = count[word] + 1

// ZIP文件 header('Content-Type: application/pdf'); // PDF文件 header('Content-Type: audio/mpeg'); // 音频文件

len(vocabList) for word in inputSet: if word in vocabList: retVocabList[vocabList.index(word)] = 1 else: print

name="files[]" value="abc.pdf" />

name="files[]" value="abc.pdf" />

tagBITMAPFILEHEADER { WORD bfType; //必须为'BM' DWORD bfSize; //文件大小 WORD bfReserved1; //必须为0 WORD bfReserved2; //必须为0

实现根据单词快速找到对应的解释 /* 字典树应用，快速单词查找 */ const int M = 1000000; char word[1000000][11]; int wp; // 单词列表的下标 struct node{ int

output file:") while 1: word = raw_input("Enter string: ") hashob.update(word) hashword = hashob.hexdigest()

$value) { if($value['word']) { $value['word'] = preg_split('/(?word']); $point = & $wordTree;

通过php的 similar_text函数比较两个字符串的相似性 $word2compare = "stupid"; $words = array( 'stupid', 'stu and pid', 'hello'

split() for word in words: statetab.setdefault((w1, w2),[]).append(word) w1, w2 = w2, word # add tail

字符串的拷贝、字符串的upper等等。另外一个经常使用但是 却被我们忽视的功能就是字符串的查找。word里面有字符串查找、notepad里面有字符串查找、winxp里面也有系统自带的字符串的查找，所以编写

(String word : uniqueWords) { System.out.println(word + ": " + Collections.frequency(list, word)); } }

iterator(); String word = null; String replaceString = null; while (iterator.hasNext()) { word = iterator.next();