/*
* 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.
*/
using System;
using System.Collections.Generic;
using System.Linq;
using Lucene.Net.Analysis.Tokenattributes;
using Lucene.Net.Index;
using Lucene.Net.Support;
using Analyzer = Lucene.Net.Analysis.Analyzer;
using TokenStream = Lucene.Net.Analysis.TokenStream;
namespace Lucene.Net.Search
{
///
///
///
///
public class QueryTermVector : ITermFreqVector
{
private System.String[] terms = new System.String[0];
private int[] termFreqs = new int[0];
public virtual string Field
{
get { return null; }
}
///
/// The original list of terms from the query, can contain duplicates
///
public QueryTermVector(System.String[] queryTerms)
{
ProcessTerms(queryTerms);
}
public QueryTermVector(System.String queryString, Analyzer analyzer)
{
if (analyzer != null)
{
TokenStream stream = analyzer.TokenStream("", new System.IO.StringReader(queryString));
if (stream != null)
{
IList terms = new List();
try
{
bool hasMoreTokens = false;
stream.Reset();
ITermAttribute termAtt = stream.AddAttribute();
hasMoreTokens = stream.IncrementToken();
while (hasMoreTokens)
{
terms.Add(termAtt.Term);
hasMoreTokens = stream.IncrementToken();
}
ProcessTerms(terms.ToArray());
}
catch (System.IO.IOException)
{
}
}
}
}
private void ProcessTerms(System.String[] queryTerms)
{
if (queryTerms != null)
{
System.Array.Sort(queryTerms);
IDictionary tmpSet = new HashMap(queryTerms.Length);
//filter out duplicates
IList tmpList = new List(queryTerms.Length);
IList tmpFreqs = new List(queryTerms.Length);
int j = 0;
for (int i = 0; i < queryTerms.Length; i++)
{
var term = queryTerms[i];
var position = tmpSet[term];
if (!tmpSet.ContainsKey(term)) // if temp_position == null
{
tmpSet[term] = j++;
tmpList.Add(term);
tmpFreqs.Add(1);
}
else
{
int integer = tmpFreqs[position];
tmpFreqs[position] = (integer + 1);
}
}
terms = tmpList.ToArray();
//termFreqs = (int[])tmpFreqs.toArray(termFreqs);
termFreqs = new int[tmpFreqs.Count];
int i2 = 0;
foreach (int integer in tmpFreqs)
{
termFreqs[i2++] = integer;
}
}
}
public override System.String ToString()
{
System.Text.StringBuilder sb = new System.Text.StringBuilder();
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 virtual int Size
{
get { return terms.Length; }
}
public virtual System.String[] GetTerms()
{
return terms;
}
public virtual int[] GetTermFrequencies()
{
return termFreqs;
}
public virtual int IndexOf(System.String term)
{
int res = System.Array.BinarySearch(terms, term);
return res >= 0?res:- 1;
}
public virtual int[] IndexesOf(System.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;
}
}
}