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📄 querytermvector.java

📁 lucene2.2.0版本
💻 JAVA
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package org.apache.lucene.search;/** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements.  See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License.  You may obtain a copy of the License at * *     http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */import org.apache.lucene.analysis.Analyzer;import org.apache.lucene.analysis.Token;import org.apache.lucene.analysis.TokenStream;import org.apache.lucene.index.TermFreqVector;import java.io.IOException;import java.io.StringReader;import java.util.*;/** * * **/public class QueryTermVector implements TermFreqVector {  private String [] terms = new String[0];  private int [] termFreqs = new int[0];  public String getField() { return null;  }  /**   *    * @param queryTerms The original list of terms from the query, can contain duplicates   */   public QueryTermVector(String [] queryTerms) {    processTerms(queryTerms);  }  public QueryTermVector(String queryString, Analyzer analyzer) {        if (analyzer != null)    {      TokenStream stream = analyzer.tokenStream("", new StringReader(queryString));      if (stream != null)      {        Token next = null;        List terms = new ArrayList();        try {          while ((next = stream.next()) != null)          {            terms.add(next.termText());          }          processTerms((String[])terms.toArray(new String[terms.size()]));        } catch (IOException e) {        }      }    }                                                                }    private void processTerms(String[] queryTerms) {    if (queryTerms != null) {      Arrays.sort(queryTerms);      Map tmpSet = new HashMap(queryTerms.length);      //filter out duplicates      List tmpList = new ArrayList(queryTerms.length);      List tmpFreqs = new ArrayList(queryTerms.length);      int j = 0;      for (int i = 0; i < queryTerms.length; i++) {        String term = queryTerms[i];        Integer position = (Integer)tmpSet.get(term);        if (position == null) {          tmpSet.put(term, new Integer(j++));          tmpList.add(term);          tmpFreqs.add(new Integer(1));        }               else {          Integer integer = (Integer)tmpFreqs.get(position.intValue());          tmpFreqs.set(position.intValue(), new Integer(integer.intValue() + 1));                  }      }      terms = (String[])tmpList.toArray(terms);      //termFreqs = (int[])tmpFreqs.toArray(termFreqs);      termFreqs = new int[tmpFreqs.size()];      int i = 0;      for (Iterator iter = tmpFreqs.iterator(); iter.hasNext();) {        Integer integer = (Integer) iter.next();        termFreqs[i++] = integer.intValue();      }    }  }    public final String toString() {        StringBuffer sb = new StringBuffer();        sb.append('{');        for (int i=0; i<terms.length; i++) {            if (i>0) sb.append(", ");            sb.append(terms[i]).append('/').append(termFreqs[i]);        }        sb.append('}');        return sb.toString();    }    public int size() {    return terms.length;  }  public String[] getTerms() {    return terms;  }  public int[] getTermFrequencies() {    return termFreqs;  }  public int indexOf(String term) {    int res = Arrays.binarySearch(terms, term);        return res >= 0 ? res : -1;  }  public int[] indexesOf(String[] terms, int start, int len) {    int res[] = new int[len];    for (int i=0; i < len; i++) {        res[i] = indexOf(terms[i]);    }    return res;                    }}

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