Java Version.LATEST屬性代碼示例

public DutchAnalyzer(CharArraySet stopwords){
  this(Version.LATEST, stopwords);
}
 

public ComplexPhraseQueryParser(String f, Analyzer a) {
  this(Version.LATEST, f, a);
}
 

protected CompoundWordTokenFilterBase(TokenStream input, CharArraySet dictionary, boolean onlyLongestMatch) {
  this(Version.LATEST, input,dictionary,onlyLongestMatch);
}
 

/** Creates a new ThaiWordFilter with the specified match version. */
public ThaiWordFilter(TokenStream input) {
  this(Version.LATEST, input);
}
 

public AnalyzingQueryParser(String field, Analyzer analyzer) {
  this(Version.LATEST, field, analyzer);
}
 

/**
 * Creates a new StandardTokenizer with a given {@link org.apache.lucene.util.AttributeFactory} 
 */
public StandardTokenizer(AttributeFactory factory, Reader input) {
  this(Version.LATEST, factory, input);
}
 

/**
 * Create a new {@link LengthFilter}. This will filter out tokens whose
 * {@link CharTermAttribute} is either too short ({@link CharTermAttribute#length()}
 * < min) or too long ({@link CharTermAttribute#length()} > max).
 * @param in      the {@link TokenStream} to consume
 * @param min     the minimum length
 * @param max     the maximum length
 */
public LengthFilter(TokenStream in, int min, int max) {
  this(Version.LATEST, in, min, max);
}
 

/**
 * Create a new {@link KeepWordFilter}.
 * <p><b>NOTE</b>: The words set passed to this constructor will be directly
 * used by this filter and should not be modified.
 * @param in      the {@link TokenStream} to consume
 * @param words   the words to keep
 */
public KeepWordFilter(TokenStream in, CharArraySet words) {
  this(Version.LATEST, in, words);
}
 

/**
 * Creates a MultiFieldQueryParser. 
 * Allows passing of a map with term to Boost, and the boost to apply to each term.
 *
 * <p>It will, when parse(String query)
 * is called, construct a query like this (assuming the query consists of
 * two terms and you specify the two fields <code>title</code> and <code>body</code>):</p>
 * 
 * <code>
 * (title:term1 body:term1) (title:term2 body:term2)
 * </code>
 *
 * <p>When setDefaultOperator(AND_OPERATOR) is set, the result will be:</p>
 *  
 * <code>
 * +(title:term1 body:term1) +(title:term2 body:term2)
 * </code>
 * 
 * <p>When you pass a boost (title=>5 body=>10) you can get </p>
 * 
 * <code>
 * +(title:term1^5.0 body:term1^10.0) +(title:term2^5.0 body:term2^10.0)
 * </code>
 *
 * <p>In other words, all the query's terms must appear, but it doesn't matter in
 * what fields they appear.</p>
 */
public MultiFieldQueryParser(String[] fields, Analyzer analyzer, Map<String,Float> boosts) {
  this(Version.LATEST, fields, analyzer, boosts);
}
 

/**
 * Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range
 *
 * @param factory {@link org.apache.lucene.util.AttributeFactory} to use
 * @param input {@link Reader} holding the input to be tokenized
 * @param minGram the smallest n-gram to generate
 * @param maxGram the largest n-gram to generate
 */
public Lucene43EdgeNGramTokenizer(AttributeFactory factory, Reader input, int minGram, int maxGram) {
  this(Version.LATEST, factory, input, Side.FRONT, minGram, maxGram);
}
 

/**
 * Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range
 *
 * @param input {@link Reader} holding the input to be tokenized
 * @param minGram the smallest n-gram to generate
 * @param maxGram the largest n-gram to generate
 */
public EdgeNGramTokenizer(Reader input, int minGram, int maxGram) {
  super(Version.LATEST, input, minGram, maxGram, true);
}
 

/**
 * Creates NGramTokenFilter with given min and max n-grams.
 * @param input {@link TokenStream} holding the input to be tokenized
 * @param minGram the smallest n-gram to generate
 * @param maxGram the largest n-gram to generate
 */
public NGramTokenFilter(TokenStream input, int minGram, int maxGram) {
  this(Version.LATEST, input, minGram, maxGram);
}
 

/**
 * Create a new {@link TypeTokenFilter}.
 * @param input        the {@link TokenStream} to consume
 * @param stopTypes    the types to filter
 * @param useWhiteList if true, then tokens whose type is in stopTypes will
 *                     be kept, otherwise they will be filtered out
 */
public TypeTokenFilter(TokenStream input, Set<String> stopTypes, boolean useWhiteList) {
  this(Version.LATEST, input, stopTypes, useWhiteList);
}
 

/**
 * Create a new ReverseStringFilter that reverses and marks all tokens in the
 * supplied {@link TokenStream}.
 * <p>
 * The reversed tokens will be prepended (marked) by the <code>marker</code>
 * character.
 * </p>
 *
 * @param in {@link TokenStream} to filter
 * @param marker A character used to mark reversed tokens
 */
public ReverseStringFilter(TokenStream in, char marker) {
  super(in);
  this.matchVersion = Version.LATEST;
  this.marker = marker;
}
 

/**
 * Creates NGramTokenizer with given min and max n-grams.
 * @param input {@link Reader} holding the input to be tokenized
 * @param minGram the smallest n-gram to generate
 * @param maxGram the largest n-gram to generate
 */
public NGramTokenizer(Reader input, int minGram, int maxGram) {
  this(Version.LATEST, input, minGram, maxGram, false);
}