import org.apache.lucene.analysis.AnalyzerWrapper; //导入依赖的package包/类
private void matchedFieldsTestCase( boolean useMatchedFields, boolean fieldMatch, String fieldValue, String expected, Query... queryClauses ) throws IOException {
  Document doc = new Document();
  FieldType stored = new FieldType( TextField.TYPE_STORED );
  stored.setStoreTermVectorOffsets( true );
  stored.setStoreTermVectorPositions( true );
  stored.setStoreTermVectors( true );
  stored.freeze();
  FieldType matched = new FieldType( TextField.TYPE_NOT_STORED );
  matched.setStoreTermVectorOffsets( true );
  matched.setStoreTermVectorPositions( true );
  matched.setStoreTermVectors( true );
  matched.freeze();
  doc.add( new Field( "field", fieldValue, stored ) );               // Whitespace tokenized with English stop words
  doc.add( new Field( "field_exact", fieldValue, matched ) );        // Whitespace tokenized without stop words
  doc.add( new Field( "field_super_exact", fieldValue, matched ) );  // Whitespace tokenized without toLower
  doc.add( new Field( "field_characters", fieldValue, matched ) );   // Each letter is a token
  doc.add( new Field( "field_tripples", fieldValue, matched ) );     // Every three letters is a token
  doc.add( new Field( "field_sliced", fieldValue.substring( 0,       // Sliced at 10 chars then analyzed just like field
    Math.min( fieldValue.length() - 1 , 10 ) ), matched ) );
  doc.add( new Field( "field_der_red", new CannedTokenStream(        // Hacky field containing "der" and "red" at pos = 0
        token( "der", 1, 0, 3 ),
        token( "red", 0, 0, 3 )
      ), matched ) );

  final Map<String, Analyzer> fieldAnalyzers = new TreeMap<String, Analyzer>();
  fieldAnalyzers.put( "field", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, true, MockTokenFilter.ENGLISH_STOPSET ) );
  fieldAnalyzers.put( "field_exact", new MockAnalyzer( random() ) );
  fieldAnalyzers.put( "field_super_exact", new MockAnalyzer( random(), MockTokenizer.WHITESPACE, false ) );
  fieldAnalyzers.put( "field_characters", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp(".").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_tripples", new MockAnalyzer( random(), new CharacterRunAutomaton( new RegExp("...").toAutomaton() ), true ) );
  fieldAnalyzers.put( "field_sliced", fieldAnalyzers.get( "field" ) );
  fieldAnalyzers.put( "field_der_red", fieldAnalyzers.get( "field" ) );  // This is required even though we provide a token stream
  Analyzer analyzer = new AnalyzerWrapper() {
    public Analyzer getWrappedAnalyzer(String fieldName) {
      return fieldAnalyzers.get( fieldName );
    }
  };

  Directory dir = newDirectory();
  IndexWriter writer = new IndexWriter( dir, newIndexWriterConfig( TEST_VERSION_CURRENT, analyzer ) );
  writer.addDocument( doc );

  FastVectorHighlighter highlighter = new FastVectorHighlighter();
  FragListBuilder fragListBuilder = new SimpleFragListBuilder();
  FragmentsBuilder fragmentsBuilder = new ScoreOrderFragmentsBuilder();
  IndexReader reader = DirectoryReader.open( writer, true );
  String[] preTags = new String[] { "<b>" };
  String[] postTags = new String[] { "</b>" };
  Encoder encoder = new DefaultEncoder();
  int docId = 0;
  BooleanQuery query = new BooleanQuery();
  for ( Query clause : queryClauses ) {
    query.add( clause, Occur.MUST );
  }
  FieldQuery fieldQuery = new FieldQuery( query, reader, true, fieldMatch );
  String[] bestFragments;
  if ( useMatchedFields ) {
    Set< String > matchedFields = new HashSet< String >();
    matchedFields.add( "field" );
    matchedFields.add( "field_exact" );
    matchedFields.add( "field_super_exact" );
    matchedFields.add( "field_characters" );
    matchedFields.add( "field_tripples" );
    matchedFields.add( "field_sliced" );
    matchedFields.add( "field_der_red" );
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", matchedFields, 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  } else {
    bestFragments = highlighter.getBestFragments( fieldQuery, reader, docId, "field", 25, 1,
      fragListBuilder, fragmentsBuilder, preTags, postTags, encoder );
  }
  assertEquals( expected, bestFragments[ 0 ] );

  reader.close();
  writer.close();
  dir.close();
}