Examples of net.paoding.analysis.knife.Beef

net.paoding.analysis.knife.Beef
{@link Beef}是要被庖丁“解”的“牛骨肉”，是对文本字符流的高效封装，可以从中读取指定位置的字符。
{@link Beef}和 {@link String}对象的不同之处在于：
{@link Beef}共享输入的char数组， {@link String}的策略是对共享数组进行克隆，克隆损耗了性能。
同时， {@link Beef}在 {@link #charAt(int)}方法还进行对字符的预处理，使返回时符合规则:1)toLowerCase 2)全角转半角等
@author Zhiliang Wang [qieqie.wang@gmail.com] @since 1.0

    char[] chs = new char[128];
    for (int i = 0; i < vocabularySize; i ++) {
      final Word curWord = vocabularyDictionary.get(i);
      curWord.getText().getChars(0, curWord.length(), chs, 0);
      chs[curWord.length()] = (char) -1;
      Beef beef = new Beef(chs, 0, curWord.length() + 1);
      final BitSet bs = new BitSet(curWord.length());
      knife.dissect(new Collector(){
        public void collect(String word, int offset, int end) {
          Hit hit = vocabularyDictionary.search(word, 0, word.length());
          if (hit.isHit() && hit.getWord().length() != curWord.length()) {

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    char[] chs = new char[128];
    for (int i = 0; i < vocabularySize; i ++) {
      final Word curWord = vocabularyDictionary.get(i);
      curWord.getText().getChars(0, curWord.length(), chs, 0);
      chs[curWord.length()] = (char) -1;
      Beef beef = new Beef(chs, 0, curWord.length() + 1);
      final BitSet bs = new BitSet(curWord.length());
      knife.dissect(new Collector(){
        public void collect(String word, int offset, int end) {
          Hit hit = vocabularyDictionary.search(word, 0, word.length());
          if (hit.isHit() && hit.getWord().length() != curWord.length()) {

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    char[] chs = new char[128];
    for (int i = 0; i < vocabularySize; i ++) {
      final Word curWord = vocabularyDictionary.get(i);
      curWord.getText().getChars(0, curWord.length(), chs, 0);
      chs[curWord.length()] = (char) -1;
      Beef beef = new Beef(chs, 0, curWord.length() + 1);
      final BitSet bs = new BitSet(curWord.length());
      knife.dissect(new Collector(){
        public void collect(String word, int offset, int end) {
          Hit hit = vocabularyDictionary.search(word, 0, word.length());
          if (hit.isHit() && hit.getWord().length() != curWord.length()) {

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Related Classes of net.paoding.analysis.knife.Beef

net.paoding.analysis.analyzer.impl.MostWordsModeDictionariesCompiler

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