mirror of https://github.com/apache/lucene.git
LUCENE-4955: Fix NGramTokenizer and NGramTokenFilter, and remove them from TestRandomChains' exclusion list.
git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/trunk@1476135 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Adrien Grand
parent
7cfcb26b92
commit
a03e38d5d0
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@ -37,6 +37,16 @@ Optimizations
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======================= Lucene 4.4.0 =======================
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Changes in backwards compatibility policy
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* LUCENE-4955: NGramTokenFilter now emits all n-grams for the same token at the
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same position and preserves the position length and the offsets of the
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original token. (Simon Willnauer, Adrien Grand)
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* LUCENE-4955: NGramTokenizer now emits n-grams in a different order
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(a, ab, b, bc, c) instead of (a, b, c, ab, bc) and doesn't trim trailing
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whitespaces. (Adrien Grand)
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Bug Fixes
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* LUCENE-4935: CustomScoreQuery wrongly applied its query boost twice
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@ -46,6 +56,9 @@ Bug Fixes
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if you had a 64-bit JVM without compressed OOPS: IBM J9, or Oracle with
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large heap/explicitly disabled. (Mike McCandless, Uwe Schindler, Robert Muir)
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* LUCENE-4955: NGramTokenizer now supports inputs larger than 1024 chars.
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(Adrien Grand)
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Optimizations
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* LUCENE-4938: Don't use an unnecessarily large priority queue in IndexSearcher
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@ -0,0 +1,155 @@
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package org.apache.lucene.analysis.ngram;
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import java.io.IOException;
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import java.io.Reader;
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import org.apache.lucene.analysis.Tokenizer;
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
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/**
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* Old broken version of {@link NGramTokenizer}.
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*/
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@Deprecated
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public final class Lucene43NGramTokenizer extends Tokenizer {
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public static final int DEFAULT_MIN_NGRAM_SIZE = 1;
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public static final int DEFAULT_MAX_NGRAM_SIZE = 2;
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private int minGram, maxGram;
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private int gramSize;
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private int pos;
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private int inLen; // length of the input AFTER trim()
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private int charsRead; // length of the input
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private String inStr;
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private boolean started;
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private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
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private final OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);
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/**
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* Creates NGramTokenizer with given min and max n-grams.
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* @param input {@link Reader} holding the input to be tokenized
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* @param minGram the smallest n-gram to generate
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* @param maxGram the largest n-gram to generate
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*/
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public Lucene43NGramTokenizer(Reader input, int minGram, int maxGram) {
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super(input);
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init(minGram, maxGram);
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}
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/**
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* Creates NGramTokenizer with given min and max n-grams.
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* @param factory {@link org.apache.lucene.util.AttributeSource.AttributeFactory} to use
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* @param input {@link Reader} holding the input to be tokenized
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* @param minGram the smallest n-gram to generate
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* @param maxGram the largest n-gram to generate
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*/
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public Lucene43NGramTokenizer(AttributeFactory factory, Reader input, int minGram, int maxGram) {
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super(factory, input);
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init(minGram, maxGram);
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}
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/**
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* Creates NGramTokenizer with default min and max n-grams.
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* @param input {@link Reader} holding the input to be tokenized
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*/
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public Lucene43NGramTokenizer(Reader input) {
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this(input, DEFAULT_MIN_NGRAM_SIZE, DEFAULT_MAX_NGRAM_SIZE);
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}
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private void init(int minGram, int maxGram) {
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if (minGram < 1) {
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throw new IllegalArgumentException("minGram must be greater than zero");
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}
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if (minGram > maxGram) {
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throw new IllegalArgumentException("minGram must not be greater than maxGram");
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}
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this.minGram = minGram;
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this.maxGram = maxGram;
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}
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/** Returns the next token in the stream, or null at EOS. */
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@Override
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public boolean incrementToken() throws IOException {
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clearAttributes();
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if (!started) {
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started = true;
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gramSize = minGram;
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char[] chars = new char[1024];
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charsRead = 0;
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// TODO: refactor to a shared readFully somewhere:
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while (charsRead < chars.length) {
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int inc = input.read(chars, charsRead, chars.length-charsRead);
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if (inc == -1) {
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break;
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}
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charsRead += inc;
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}
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inStr = new String(chars, 0, charsRead).trim(); // remove any trailing empty strings
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if (charsRead == chars.length) {
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// Read extra throwaway chars so that on end() we
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// report the correct offset:
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char[] throwaway = new char[1024];
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while(true) {
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final int inc = input.read(throwaway, 0, throwaway.length);
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if (inc == -1) {
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break;
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}
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charsRead += inc;
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}
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}
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inLen = inStr.length();
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if (inLen == 0) {
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return false;
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}
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}
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if (pos+gramSize > inLen) { // if we hit the end of the string
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pos = 0; // reset to beginning of string
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gramSize++; // increase n-gram size
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if (gramSize > maxGram) // we are done
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return false;
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if (pos+gramSize > inLen)
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return false;
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}
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int oldPos = pos;
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pos++;
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termAtt.setEmpty().append(inStr, oldPos, oldPos+gramSize);
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offsetAtt.setOffset(correctOffset(oldPos), correctOffset(oldPos+gramSize));
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return true;
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}
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@Override
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public void end() {
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// set final offset
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final int finalOffset = correctOffset(charsRead);
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this.offsetAtt.setOffset(finalOffset, finalOffset);
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}
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@Override
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public void reset() throws IOException {
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super.reset();
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started = false;
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pos = 0;
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}
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}
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@ -47,6 +47,6 @@ public class NGramFilterFactory extends TokenFilterFactory {
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@Override
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public NGramTokenFilter create(TokenStream input) {
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return new NGramTokenFilter(input, minGramSize, maxGramSize);
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return new NGramTokenFilter(luceneMatchVersion, input, minGramSize, maxGramSize);
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}
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}
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@ -21,37 +21,60 @@ import java.io.IOException;
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import org.apache.lucene.analysis.TokenFilter;
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import org.apache.lucene.analysis.TokenStream;
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import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
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import org.apache.lucene.analysis.miscellaneous.LengthFilter;
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
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import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
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import org.apache.lucene.analysis.tokenattributes.PositionLengthAttribute;
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import org.apache.lucene.util.Version;
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/**
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* Tokenizes the input into n-grams of the given size(s).
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* <a name="version"/>
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* <p>You must specify the required {@link Version} compatibility when
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* creating a {@link NGramTokenFilter}. As of Lucene 4.4, this token filters:<ul>
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* <li>emits all n-grams for the same token at the same position,</li>
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* <li>does not modify offsets,</li>
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* <li>sorts n-grams by their offset in the original token first, then
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* increasing length (meaning that "abc" will give "a", "ab", "abc", "b", "bc",
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* "c").</li></ul>
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* <p>You can make this filter use the old behavior by providing a version <
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* {@link Version#LUCENE_44} in the constructor but this is not recommended as
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* it will lead to broken {@link TokenStream}s that will cause highlighting
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* bugs.
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*/
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public final class NGramTokenFilter extends TokenFilter {
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public static final int DEFAULT_MIN_NGRAM_SIZE = 1;
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public static final int DEFAULT_MAX_NGRAM_SIZE = 2;
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private int minGram, maxGram;
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private final int minGram, maxGram;
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private char[] curTermBuffer;
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private int curTermLength;
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private int curGramSize;
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private int curPos;
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private int curPosInc, curPosLen;
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private int tokStart;
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private int tokEnd; // only used if the length changed before this filter
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private int tokEnd;
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private boolean hasIllegalOffsets; // only if the length changed before this filter
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private final Version version;
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private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
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private final PositionIncrementAttribute posIncAtt;
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private final PositionLengthAttribute posLenAtt;
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private final OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);
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/**
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* Creates NGramTokenFilter with given min and max n-grams.
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* @param version Lucene version to enable correct position increments.
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* See <a href="#version">above</a> for details.
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* @param input {@link TokenStream} holding the input to be tokenized
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* @param minGram the smallest n-gram to generate
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* @param maxGram the largest n-gram to generate
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*/
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public NGramTokenFilter(TokenStream input, int minGram, int maxGram) {
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super(input);
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public NGramTokenFilter(Version version, TokenStream input, int minGram, int maxGram) {
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super(new LengthFilter(true, input, minGram, Integer.MAX_VALUE));
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this.version = version;
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if (minGram < 1) {
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throw new IllegalArgumentException("minGram must be greater than zero");
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}
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@ -60,14 +83,37 @@ public final class NGramTokenFilter extends TokenFilter {
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}
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this.minGram = minGram;
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this.maxGram = maxGram;
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if (version.onOrAfter(Version.LUCENE_44)) {
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posIncAtt = addAttribute(PositionIncrementAttribute.class);
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posLenAtt = addAttribute(PositionLengthAttribute.class);
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} else {
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posIncAtt = new PositionIncrementAttribute() {
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@Override
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public void setPositionIncrement(int positionIncrement) {}
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@Override
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public int getPositionIncrement() {
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return 0;
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}
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};
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posLenAtt = new PositionLengthAttribute() {
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@Override
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public void setPositionLength(int positionLength) {}
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@Override
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public int getPositionLength() {
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return 0;
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}
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};
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}
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}
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/**
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* Creates NGramTokenFilter with default min and max n-grams.
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* @param version Lucene version to enable correct position increments.
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* See <a href="#version">above</a> for details.
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* @param input {@link TokenStream} holding the input to be tokenized
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*/
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public NGramTokenFilter(TokenStream input) {
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this(input, DEFAULT_MIN_NGRAM_SIZE, DEFAULT_MAX_NGRAM_SIZE);
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public NGramTokenFilter(Version version, TokenStream input) {
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this(version, input, DEFAULT_MIN_NGRAM_SIZE, DEFAULT_MAX_NGRAM_SIZE);
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}
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/** Returns the next token in the stream, or null at EOS. */
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@ -82,6 +128,8 @@ public final class NGramTokenFilter extends TokenFilter {
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curTermLength = termAtt.length();
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curGramSize = minGram;
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curPos = 0;
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curPosInc = posIncAtt.getPositionIncrement();
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curPosLen = posLenAtt.getPositionLength();
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tokStart = offsetAtt.startOffset();
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tokEnd = offsetAtt.endOffset();
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// if length by start + end offsets doesn't match the term text then assume
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@ -89,6 +137,22 @@ public final class NGramTokenFilter extends TokenFilter {
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hasIllegalOffsets = (tokStart + curTermLength) != tokEnd;
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}
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}
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if (version.onOrAfter(Version.LUCENE_44)) {
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if (curGramSize > maxGram || curPos + curGramSize > curTermLength) {
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++curPos;
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curGramSize = minGram;
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}
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if (curPos + curGramSize <= curTermLength) {
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clearAttributes();
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termAtt.copyBuffer(curTermBuffer, curPos, curGramSize);
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posIncAtt.setPositionIncrement(curPosInc);
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curPosInc = 0;
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posLenAtt.setPositionLength(curPosLen);
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offsetAtt.setOffset(tokStart, tokEnd);
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curGramSize++;
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return true;
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}
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} else {
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while (curGramSize <= maxGram) {
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while (curPos+curGramSize <= curTermLength) { // while there is input
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clearAttributes();
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@ -104,6 +168,7 @@ public final class NGramTokenFilter extends TokenFilter {
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curGramSize++; // increase n-gram size
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curPos = 0;
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}
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}
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curTermBuffer = null;
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}
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}
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@ -17,64 +17,90 @@ package org.apache.lucene.analysis.ngram;
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* limitations under the License.
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*/
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import org.apache.lucene.analysis.Tokenizer;
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
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import org.apache.lucene.util.AttributeSource;
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import java.io.IOException;
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import java.io.Reader;
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import org.apache.lucene.analysis.Tokenizer;
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import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
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import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
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import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
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import org.apache.lucene.analysis.tokenattributes.PositionLengthAttribute;
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import org.apache.lucene.util.Version;
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/**
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* Tokenizes the input into n-grams of the given size(s).
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* <p>On the contrary to {@link NGramTokenFilter}, this class sets offsets so
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* that characters between startOffset and endOffset in the original stream are
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* the same as the term chars.
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* <p>For example, "abcde" would be tokenized as (minGram=2, maxGram=3):
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* <table>
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* <tr><th>Term</th><td>ab</td><td>abc</td><td>bc</td><td>bcd</td><td>cd</td><td>cde</td><td>de</td></tr>
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* <tr><th>Position increment</th><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>
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* <tr><th>Position length</th><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr>
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* <tr><th>Offsets</th><td>[0,2[</td><td>[0,3[</td><td>[1,3[</td><td>[1,4[</td><td>[2,4[</td><td>[2,5[</td><td>[3,5[</td></tr>
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* </table>
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* <a name="version"/>
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* <p>Before Lucene 4.4, this class had a different behavior:<ul>
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* <li>It didn't support more than 1024 chars of input, the rest was trashed.</li>
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* <li>The last whitespaces of the 1024 chars block were trimmed.</li>
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* <li>Tokens were emitted in a different order (by increasing lengths).</li></ul>
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* <p>Although highly discouraged, it is still possible to use the old behavior
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* through {@link Lucene43NGramTokenizer}.
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*/
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public final class NGramTokenizer extends Tokenizer {
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public static final int DEFAULT_MIN_NGRAM_SIZE = 1;
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public static final int DEFAULT_MAX_NGRAM_SIZE = 2;
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private int minGram, maxGram;
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private char[] buffer;
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private int bufferStart, bufferEnd; // remaining slice of the buffer
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private int offset;
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private int gramSize;
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private int pos;
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private int inLen; // length of the input AFTER trim()
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private int charsRead; // length of the input
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private String inStr;
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private boolean started;
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private int minGram, maxGram;
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private boolean exhausted;
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private final CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
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private final PositionIncrementAttribute posIncAtt = addAttribute(PositionIncrementAttribute.class);
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private final PositionLengthAttribute posLenAtt = addAttribute(PositionLengthAttribute.class);
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private final OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);
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/**
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* Creates NGramTokenizer with given min and max n-grams.
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* @param version the lucene compatibility <a href="#version">version</a>
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* @param input {@link Reader} holding the input to be tokenized
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* @param minGram the smallest n-gram to generate
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* @param maxGram the largest n-gram to generate
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*/
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public NGramTokenizer(Reader input, int minGram, int maxGram) {
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public NGramTokenizer(Version version, Reader input, int minGram, int maxGram) {
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super(input);
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init(minGram, maxGram);
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init(version, minGram, maxGram);
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}
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/**
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* Creates NGramTokenizer with given min and max n-grams.
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* @param version the lucene compatibility <a href="#version">version</a>
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* @param factory {@link org.apache.lucene.util.AttributeSource.AttributeFactory} to use
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* @param input {@link Reader} holding the input to be tokenized
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* @param minGram the smallest n-gram to generate
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* @param maxGram the largest n-gram to generate
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*/
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public NGramTokenizer(AttributeFactory factory, Reader input, int minGram, int maxGram) {
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public NGramTokenizer(Version version, AttributeFactory factory, Reader input, int minGram, int maxGram) {
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super(factory, input);
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init(minGram, maxGram);
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init(version, minGram, maxGram);
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}
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/**
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* Creates NGramTokenizer with default min and max n-grams.
|
||||
* @param version the lucene compatibility <a href="#version">version</a>
|
||||
* @param input {@link Reader} holding the input to be tokenized
|
||||
*/
|
||||
public NGramTokenizer(Reader input) {
|
||||
this(input, DEFAULT_MIN_NGRAM_SIZE, DEFAULT_MAX_NGRAM_SIZE);
|
||||
public NGramTokenizer(Version version, Reader input) {
|
||||
this(version, input, DEFAULT_MIN_NGRAM_SIZE, DEFAULT_MAX_NGRAM_SIZE);
|
||||
}
|
||||
|
||||
private void init(int minGram, int maxGram) {
|
||||
private void init(Version version, int minGram, int maxGram) {
|
||||
if (!version.onOrAfter(Version.LUCENE_44)) {
|
||||
throw new IllegalArgumentException("This class only works with Lucene 4.4+. To emulate the old (broken) behavior of NGramTokenizer, use Lucene43NGramTokenizer");
|
||||
}
|
||||
if (minGram < 1) {
|
||||
throw new IllegalArgumentException("minGram must be greater than zero");
|
||||
}
|
||||
|
|
@ -83,73 +109,66 @@ public final class NGramTokenizer extends Tokenizer {
|
|||
}
|
||||
this.minGram = minGram;
|
||||
this.maxGram = maxGram;
|
||||
buffer = new char[maxGram + 1024];
|
||||
}
|
||||
|
||||
/** Returns the next token in the stream, or null at EOS. */
|
||||
@Override
|
||||
public boolean incrementToken() throws IOException {
|
||||
clearAttributes();
|
||||
if (!started) {
|
||||
started = true;
|
||||
|
||||
// compact
|
||||
if (bufferStart >= buffer.length - maxGram) {
|
||||
System.arraycopy(buffer, bufferStart, buffer, 0, bufferEnd - bufferStart);
|
||||
bufferEnd -= bufferStart;
|
||||
bufferStart = 0;
|
||||
|
||||
// fill in remaining space
|
||||
if (!exhausted) {
|
||||
// TODO: refactor to a shared readFully
|
||||
while (bufferEnd < buffer.length) {
|
||||
final int read = input.read(buffer, bufferEnd, buffer.length - bufferEnd);
|
||||
if (read == -1) {
|
||||
exhausted = true;
|
||||
break;
|
||||
}
|
||||
bufferEnd += read;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// should we go to the next offset?
|
||||
if (gramSize > maxGram || bufferStart + gramSize > bufferEnd) {
|
||||
bufferStart++;
|
||||
offset++;
|
||||
gramSize = minGram;
|
||||
char[] chars = new char[1024];
|
||||
charsRead = 0;
|
||||
// TODO: refactor to a shared readFully somewhere:
|
||||
while (charsRead < chars.length) {
|
||||
int inc = input.read(chars, charsRead, chars.length-charsRead);
|
||||
if (inc == -1) {
|
||||
break;
|
||||
}
|
||||
charsRead += inc;
|
||||
}
|
||||
inStr = new String(chars, 0, charsRead).trim(); // remove any trailing empty strings
|
||||
|
||||
if (charsRead == chars.length) {
|
||||
// Read extra throwaway chars so that on end() we
|
||||
// report the correct offset:
|
||||
char[] throwaway = new char[1024];
|
||||
while(true) {
|
||||
final int inc = input.read(throwaway, 0, throwaway.length);
|
||||
if (inc == -1) {
|
||||
break;
|
||||
}
|
||||
charsRead += inc;
|
||||
}
|
||||
}
|
||||
|
||||
inLen = inStr.length();
|
||||
if (inLen == 0) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
if (pos+gramSize > inLen) { // if we hit the end of the string
|
||||
pos = 0; // reset to beginning of string
|
||||
gramSize++; // increase n-gram size
|
||||
if (gramSize > maxGram) // we are done
|
||||
return false;
|
||||
if (pos+gramSize > inLen)
|
||||
// are there enough chars remaining?
|
||||
if (bufferStart + gramSize > bufferEnd) {
|
||||
return false;
|
||||
}
|
||||
|
||||
int oldPos = pos;
|
||||
pos++;
|
||||
termAtt.setEmpty().append(inStr, oldPos, oldPos+gramSize);
|
||||
offsetAtt.setOffset(correctOffset(oldPos), correctOffset(oldPos+gramSize));
|
||||
termAtt.copyBuffer(buffer, bufferStart, gramSize);
|
||||
posIncAtt.setPositionIncrement(1);
|
||||
posLenAtt.setPositionLength(1);
|
||||
offsetAtt.setOffset(correctOffset(offset), correctOffset(offset + gramSize));
|
||||
++gramSize;
|
||||
return true;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void end() {
|
||||
// set final offset
|
||||
final int finalOffset = correctOffset(charsRead);
|
||||
this.offsetAtt.setOffset(finalOffset, finalOffset);
|
||||
final int endOffset = correctOffset(offset + bufferEnd - bufferStart);
|
||||
offsetAtt.setOffset(endOffset, endOffset);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void reset() throws IOException {
|
||||
super.reset();
|
||||
started = false;
|
||||
pos = 0;
|
||||
bufferStart = bufferEnd = buffer.length;
|
||||
offset = 0;
|
||||
gramSize = minGram;
|
||||
exhausted = false;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -18,8 +18,10 @@ package org.apache.lucene.analysis.ngram;
|
|||
*/
|
||||
|
||||
import org.apache.lucene.analysis.TokenStream;
|
||||
import org.apache.lucene.analysis.Tokenizer;
|
||||
import org.apache.lucene.analysis.util.TokenizerFactory;
|
||||
import org.apache.lucene.util.AttributeSource.AttributeFactory;
|
||||
import org.apache.lucene.util.Version;
|
||||
|
||||
import java.io.Reader;
|
||||
import java.util.Map;
|
||||
|
|
@ -49,7 +51,11 @@ public class NGramTokenizerFactory extends TokenizerFactory {
|
|||
|
||||
/** Creates the {@link TokenStream} of n-grams from the given {@link Reader} and {@link AttributeFactory}. */
|
||||
@Override
|
||||
public NGramTokenizer create(AttributeFactory factory, Reader input) {
|
||||
return new NGramTokenizer(factory, input, minGramSize, maxGramSize);
|
||||
public Tokenizer create(AttributeFactory factory, Reader input) {
|
||||
if (luceneMatchVersion.onOrAfter(Version.LUCENE_44)) {
|
||||
return new NGramTokenizer(luceneMatchVersion, factory, input, minGramSize, maxGramSize);
|
||||
} else {
|
||||
return new Lucene43NGramTokenizer(factory, input, minGramSize, maxGramSize);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -54,8 +54,6 @@ import org.apache.lucene.analysis.MockTokenizer;
|
|||
import org.apache.lucene.analysis.TokenFilter;
|
||||
import org.apache.lucene.analysis.TokenStream;
|
||||
import org.apache.lucene.analysis.Tokenizer;
|
||||
import org.apache.lucene.analysis.miscellaneous.LimitTokenPositionFilter;
|
||||
import org.apache.lucene.analysis.wikipedia.WikipediaTokenizer;
|
||||
import org.apache.lucene.analysis.ValidatingTokenFilter;
|
||||
import org.apache.lucene.analysis.charfilter.NormalizeCharMap;
|
||||
import org.apache.lucene.analysis.cjk.CJKBigramFilter;
|
||||
|
|
@ -71,14 +69,14 @@ import org.apache.lucene.analysis.miscellaneous.HyphenatedWordsFilter;
|
|||
import org.apache.lucene.analysis.miscellaneous.KeepWordFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.LengthFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.LimitTokenCountFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.LimitTokenPositionFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.StemmerOverrideFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.StemmerOverrideFilter.StemmerOverrideMap;
|
||||
import org.apache.lucene.analysis.miscellaneous.TrimFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.WordDelimiterFilter;
|
||||
import org.apache.lucene.analysis.miscellaneous.StemmerOverrideFilter.StemmerOverrideMap;
|
||||
import org.apache.lucene.analysis.ngram.EdgeNGramTokenFilter;
|
||||
import org.apache.lucene.analysis.ngram.EdgeNGramTokenizer;
|
||||
import org.apache.lucene.analysis.ngram.NGramTokenFilter;
|
||||
import org.apache.lucene.analysis.ngram.NGramTokenizer;
|
||||
import org.apache.lucene.analysis.ngram.Lucene43NGramTokenizer;
|
||||
import org.apache.lucene.analysis.path.PathHierarchyTokenizer;
|
||||
import org.apache.lucene.analysis.path.ReversePathHierarchyTokenizer;
|
||||
import org.apache.lucene.analysis.payloads.IdentityEncoder;
|
||||
|
|
@ -90,8 +88,9 @@ import org.apache.lucene.analysis.synonym.SynonymMap;
|
|||
import org.apache.lucene.analysis.th.ThaiWordFilter;
|
||||
import org.apache.lucene.analysis.util.CharArrayMap;
|
||||
import org.apache.lucene.analysis.util.CharArraySet;
|
||||
import org.apache.lucene.util.AttributeSource.AttributeFactory;
|
||||
import org.apache.lucene.analysis.wikipedia.WikipediaTokenizer;
|
||||
import org.apache.lucene.util.AttributeSource;
|
||||
import org.apache.lucene.util.AttributeSource.AttributeFactory;
|
||||
import org.apache.lucene.util.CharsRef;
|
||||
import org.apache.lucene.util.Rethrow;
|
||||
import org.apache.lucene.util.Version;
|
||||
|
|
@ -162,9 +161,7 @@ public class TestRandomChains extends BaseTokenStreamTestCase {
|
|||
// startOffset thats > its endOffset
|
||||
// (see LUCENE-3738 for a list of other offenders here)
|
||||
// broken!
|
||||
NGramTokenizer.class,
|
||||
// broken!
|
||||
NGramTokenFilter.class,
|
||||
Lucene43NGramTokenizer.class,
|
||||
// broken!
|
||||
EdgeNGramTokenizer.class,
|
||||
// broken!
|
||||
|
|
|
|||
|
|
@ -26,7 +26,9 @@ import org.apache.lucene.analysis.Tokenizer;
|
|||
import org.apache.lucene.analysis.core.KeywordTokenizer;
|
||||
import org.apache.lucene.analysis.core.WhitespaceTokenizer;
|
||||
import org.apache.lucene.analysis.miscellaneous.ASCIIFoldingFilter;
|
||||
import org.apache.lucene.util.Version;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Reader;
|
||||
import java.io.StringReader;
|
||||
import java.util.Random;
|
||||
|
|
@ -46,7 +48,7 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
public void testInvalidInput() throws Exception {
|
||||
boolean gotException = false;
|
||||
try {
|
||||
new NGramTokenFilter(input, 2, 1);
|
||||
new NGramTokenFilter(TEST_VERSION_CURRENT, input, 2, 1);
|
||||
} catch (IllegalArgumentException e) {
|
||||
gotException = true;
|
||||
}
|
||||
|
|
@ -56,7 +58,7 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
public void testInvalidInput2() throws Exception {
|
||||
boolean gotException = false;
|
||||
try {
|
||||
new NGramTokenFilter(input, 0, 1);
|
||||
new NGramTokenFilter(TEST_VERSION_CURRENT, input, 0, 1);
|
||||
} catch (IllegalArgumentException e) {
|
||||
gotException = true;
|
||||
}
|
||||
|
|
@ -64,42 +66,56 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
}
|
||||
|
||||
public void testUnigrams() throws Exception {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(input, 1, 1);
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5});
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 1, 1);
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,0,0,0,0}, new int[]{5,5,5,5,5}, new int[]{1,0,0,0,0});
|
||||
}
|
||||
|
||||
public void testBigrams() throws Exception {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(input, 2, 2);
|
||||
assertTokenStreamContents(filter, new String[]{"ab","bc","cd","de"}, new int[]{0,1,2,3}, new int[]{2,3,4,5});
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 2, 2);
|
||||
assertTokenStreamContents(filter, new String[]{"ab","bc","cd","de"}, new int[]{0,0,0,0}, new int[]{5,5,5,5}, new int[]{1,0,0,0});
|
||||
}
|
||||
|
||||
public void testNgrams() throws Exception {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(input, 1, 3);
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 1, 3);
|
||||
assertTokenStreamContents(filter,
|
||||
new String[]{"a","b","c","d","e", "ab","bc","cd","de", "abc","bcd","cde"},
|
||||
new int[]{0,1,2,3,4, 0,1,2,3, 0,1,2},
|
||||
new int[]{1,2,3,4,5, 2,3,4,5, 3,4,5},
|
||||
null, null, null, null, false
|
||||
new String[]{"a","ab","abc","b","bc","bcd","c","cd","cde","d","de","e"},
|
||||
new int[]{0,0,0,0,0,0,0,0,0,0,0,0},
|
||||
new int[]{5,5,5,5,5,5,5,5,5,5,5,5},
|
||||
null,
|
||||
new int[]{1,0,0,0,0,0,0,0,0,0,0,0},
|
||||
null, null, false
|
||||
);
|
||||
}
|
||||
|
||||
public void testNgramsNoIncrement() throws Exception {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 1, 3);
|
||||
assertTokenStreamContents(filter,
|
||||
new String[]{"a","ab","abc","b","bc","bcd","c","cd","cde","d","de","e"},
|
||||
new int[]{0,0,0,0,0,0,0,0,0,0,0,0},
|
||||
new int[]{5,5,5,5,5,5,5,5,5,5,5,5},
|
||||
null,
|
||||
new int[]{1,0,0,0,0,0,0,0,0,0,0,0},
|
||||
null, null, false
|
||||
);
|
||||
}
|
||||
|
||||
public void testOversizedNgrams() throws Exception {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(input, 6, 7);
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 6, 7);
|
||||
assertTokenStreamContents(filter, new String[0], new int[0], new int[0]);
|
||||
}
|
||||
|
||||
public void testSmallTokenInStream() throws Exception {
|
||||
input = new MockTokenizer(new StringReader("abc de fgh"), MockTokenizer.WHITESPACE, false);
|
||||
NGramTokenFilter filter = new NGramTokenFilter(input, 3, 3);
|
||||
assertTokenStreamContents(filter, new String[]{"abc","fgh"}, new int[]{0,7}, new int[]{3,10});
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, input, 3, 3);
|
||||
assertTokenStreamContents(filter, new String[]{"abc","fgh"}, new int[]{0,7}, new int[]{3,10}, new int[] {1, 2});
|
||||
}
|
||||
|
||||
public void testReset() throws Exception {
|
||||
WhitespaceTokenizer tokenizer = new WhitespaceTokenizer(TEST_VERSION_CURRENT, new StringReader("abcde"));
|
||||
NGramTokenFilter filter = new NGramTokenFilter(tokenizer, 1, 1);
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5});
|
||||
NGramTokenFilter filter = new NGramTokenFilter(TEST_VERSION_CURRENT, tokenizer, 1, 1);
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,0,0,0,0}, new int[]{5,5,5,5,5}, new int[]{1,0,0,0,0});
|
||||
tokenizer.setReader(new StringReader("abcde"));
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5});
|
||||
assertTokenStreamContents(filter, new String[]{"a","b","c","d","e"}, new int[]{0,0,0,0,0}, new int[]{5,5,5,5,5}, new int[]{1,0,0,0,0});
|
||||
}
|
||||
|
||||
// LUCENE-3642
|
||||
|
|
@ -112,14 +128,15 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
|
||||
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
|
||||
TokenFilter filters = new ASCIIFoldingFilter(tokenizer);
|
||||
filters = new NGramTokenFilter(filters, 2, 2);
|
||||
filters = new NGramTokenFilter(TEST_VERSION_CURRENT, filters, 2, 2);
|
||||
return new TokenStreamComponents(tokenizer, filters);
|
||||
}
|
||||
};
|
||||
assertAnalyzesTo(analyzer, "mosfellsbær",
|
||||
new String[] { "mo", "os", "sf", "fe", "el", "ll", "ls", "sb", "ba", "ae", "er" },
|
||||
new int[] { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 },
|
||||
new int[] { 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11 });
|
||||
new int[] { 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11 },
|
||||
new int[] { 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 });
|
||||
}
|
||||
|
||||
/** blast some random strings through the analyzer */
|
||||
|
|
@ -129,7 +146,7 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
|
||||
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
|
||||
return new TokenStreamComponents(tokenizer,
|
||||
new NGramTokenFilter(tokenizer, 2, 4));
|
||||
new NGramTokenFilter(TEST_VERSION_CURRENT, tokenizer, 2, 4));
|
||||
}
|
||||
};
|
||||
checkRandomData(random(), a, 1000*RANDOM_MULTIPLIER, 20, false, false);
|
||||
|
|
@ -142,9 +159,22 @@ public class NGramTokenFilterTest extends BaseTokenStreamTestCase {
|
|||
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
|
||||
Tokenizer tokenizer = new KeywordTokenizer(reader);
|
||||
return new TokenStreamComponents(tokenizer,
|
||||
new NGramTokenFilter(tokenizer, 2, 15));
|
||||
new NGramTokenFilter(TEST_VERSION_CURRENT, tokenizer, 2, 15));
|
||||
}
|
||||
};
|
||||
checkAnalysisConsistency(random, a, random.nextBoolean(), "");
|
||||
}
|
||||
|
||||
public void testLucene43() throws IOException {
|
||||
NGramTokenFilter filter = new NGramTokenFilter(Version.LUCENE_43, input, 2, 3);
|
||||
assertTokenStreamContents(filter,
|
||||
new String[]{"ab","bc","cd","de","abc","bcd","cde"},
|
||||
new int[]{0,1,2,3,0,1,2},
|
||||
new int[]{2,3,4,5,3,4,5},
|
||||
null,
|
||||
new int[]{1,1,1,1,1,1,1},
|
||||
null, null, false
|
||||
);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -18,13 +18,21 @@ package org.apache.lucene.analysis.ngram;
|
|||
*/
|
||||
|
||||
|
||||
import java.io.IOException;
|
||||
import java.io.Reader;
|
||||
import java.io.StringReader;
|
||||
|
||||
import org.apache.lucene.analysis.Analyzer;
|
||||
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
|
||||
import org.apache.lucene.analysis.TokenStream;
|
||||
import org.apache.lucene.analysis.Tokenizer;
|
||||
import org.apache.lucene.util.LuceneTestCase.Slow;
|
||||
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
|
||||
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
|
||||
import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
|
||||
import org.apache.lucene.analysis.tokenattributes.PositionLengthAttribute;
|
||||
import org.apache.lucene.util._TestUtil;
|
||||
|
||||
import com.carrotsearch.randomizedtesting.generators.RandomStrings;
|
||||
|
||||
/**
|
||||
* Tests {@link NGramTokenizer} for correctness.
|
||||
|
|
@ -41,7 +49,7 @@ public class NGramTokenizerTest extends BaseTokenStreamTestCase {
|
|||
public void testInvalidInput() throws Exception {
|
||||
boolean gotException = false;
|
||||
try {
|
||||
new NGramTokenizer(input, 2, 1);
|
||||
new NGramTokenizer(TEST_VERSION_CURRENT, input, 2, 1);
|
||||
} catch (IllegalArgumentException e) {
|
||||
gotException = true;
|
||||
}
|
||||
|
|
@ -51,7 +59,7 @@ public class NGramTokenizerTest extends BaseTokenStreamTestCase {
|
|||
public void testInvalidInput2() throws Exception {
|
||||
boolean gotException = false;
|
||||
try {
|
||||
new NGramTokenizer(input, 0, 1);
|
||||
new NGramTokenizer(TEST_VERSION_CURRENT, input, 0, 1);
|
||||
} catch (IllegalArgumentException e) {
|
||||
gotException = true;
|
||||
}
|
||||
|
|
@ -59,21 +67,21 @@ public class NGramTokenizerTest extends BaseTokenStreamTestCase {
|
|||
}
|
||||
|
||||
public void testUnigrams() throws Exception {
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(input, 1, 1);
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, input, 1, 1);
|
||||
assertTokenStreamContents(tokenizer, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5}, 5 /* abcde */);
|
||||
}
|
||||
|
||||
public void testBigrams() throws Exception {
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(input, 2, 2);
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, input, 2, 2);
|
||||
assertTokenStreamContents(tokenizer, new String[]{"ab","bc","cd","de"}, new int[]{0,1,2,3}, new int[]{2,3,4,5}, 5 /* abcde */);
|
||||
}
|
||||
|
||||
public void testNgrams() throws Exception {
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(input, 1, 3);
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, input, 1, 3);
|
||||
assertTokenStreamContents(tokenizer,
|
||||
new String[]{"a","b","c","d","e", "ab","bc","cd","de", "abc","bcd","cde"},
|
||||
new int[]{0,1,2,3,4, 0,1,2,3, 0,1,2},
|
||||
new int[]{1,2,3,4,5, 2,3,4,5, 3,4,5},
|
||||
new String[]{"a","ab", "abc", "b", "bc", "bcd", "c", "cd", "cde", "d", "de", "e"},
|
||||
new int[]{0,0,0,1,1,1,2,2,2,3,3,4},
|
||||
new int[]{1,2,3,2,3,4,3,4,5,4,5,5},
|
||||
null,
|
||||
null,
|
||||
null,
|
||||
|
|
@ -83,12 +91,12 @@ public class NGramTokenizerTest extends BaseTokenStreamTestCase {
|
|||
}
|
||||
|
||||
public void testOversizedNgrams() throws Exception {
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(input, 6, 7);
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, input, 6, 7);
|
||||
assertTokenStreamContents(tokenizer, new String[0], new int[0], new int[0], 5 /* abcde */);
|
||||
}
|
||||
|
||||
public void testReset() throws Exception {
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(input, 1, 1);
|
||||
NGramTokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, input, 1, 1);
|
||||
assertTokenStreamContents(tokenizer, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5}, 5 /* abcde */);
|
||||
tokenizer.setReader(new StringReader("abcde"));
|
||||
assertTokenStreamContents(tokenizer, new String[]{"a","b","c","d","e"}, new int[]{0,1,2,3,4}, new int[]{1,2,3,4,5}, 5 /* abcde */);
|
||||
|
|
@ -99,11 +107,48 @@ public class NGramTokenizerTest extends BaseTokenStreamTestCase {
|
|||
Analyzer a = new Analyzer() {
|
||||
@Override
|
||||
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
|
||||
Tokenizer tokenizer = new NGramTokenizer(reader, 2, 4);
|
||||
Tokenizer tokenizer = new NGramTokenizer(TEST_VERSION_CURRENT, reader, 2, 4);
|
||||
return new TokenStreamComponents(tokenizer, tokenizer);
|
||||
}
|
||||
};
|
||||
checkRandomData(random(), a, 1000*RANDOM_MULTIPLIER, 20, false, false);
|
||||
checkRandomData(random(), a, 50*RANDOM_MULTIPLIER, 1027, false, false);
|
||||
}
|
||||
|
||||
private void testNGrams(int minGram, int maxGram, int length) throws IOException {
|
||||
final String s = RandomStrings.randomAsciiOfLength(random(), length);
|
||||
final TokenStream grams = new NGramTokenizer(TEST_VERSION_CURRENT, new StringReader(s), minGram, maxGram);
|
||||
final CharTermAttribute termAtt = grams.addAttribute(CharTermAttribute.class);
|
||||
final PositionIncrementAttribute posIncAtt = grams.addAttribute(PositionIncrementAttribute.class);
|
||||
final PositionLengthAttribute posLenAtt = grams.addAttribute(PositionLengthAttribute.class);
|
||||
final OffsetAttribute offsetAtt = grams.addAttribute(OffsetAttribute.class);
|
||||
grams.reset();
|
||||
for (int start = 0; start < s.length(); ++start) {
|
||||
for (int end = start + minGram; end <= start + maxGram && end <= s.length(); ++end) {
|
||||
assertTrue(grams.incrementToken());
|
||||
assertEquals(s.substring(start, end), termAtt.toString());
|
||||
assertEquals(1, posIncAtt.getPositionIncrement());
|
||||
assertEquals(start, offsetAtt.startOffset());
|
||||
assertEquals(end, offsetAtt.endOffset());
|
||||
}
|
||||
}
|
||||
grams.end();
|
||||
assertEquals(s.length(), offsetAtt.startOffset());
|
||||
assertEquals(s.length(), offsetAtt.endOffset());
|
||||
}
|
||||
|
||||
public void testLargeInput() throws IOException {
|
||||
// test sliding
|
||||
final int minGram = _TestUtil.nextInt(random(), 1, 100);
|
||||
final int maxGram = _TestUtil.nextInt(random(), minGram, 100);
|
||||
testNGrams(minGram, maxGram, _TestUtil.nextInt(random(), 3 * 1024, 4 * 1024));
|
||||
}
|
||||
|
||||
public void testLargeMaxGram() throws IOException {
|
||||
// test sliding with maxGram > 1024
|
||||
final int minGram = _TestUtil.nextInt(random(), 1200, 1300);
|
||||
final int maxGram = _TestUtil.nextInt(random(), minGram, 1300);
|
||||
testNGrams(minGram, maxGram, _TestUtil.nextInt(random(), 3 * 1024, 4 * 1024));
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -35,7 +35,7 @@ public class TestNGramFilters extends BaseTokenStreamFactoryTestCase {
|
|||
Reader reader = new StringReader("test");
|
||||
TokenStream stream = tokenizerFactory("NGram").create(reader);
|
||||
assertTokenStreamContents(stream,
|
||||
new String[] { "t", "e", "s", "t", "te", "es", "st" });
|
||||
new String[] { "t", "te", "e", "es", "s", "st", "t" });
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -47,7 +47,7 @@ public class TestNGramFilters extends BaseTokenStreamFactoryTestCase {
|
|||
"minGramSize", "2",
|
||||
"maxGramSize", "3").create(reader);
|
||||
assertTokenStreamContents(stream,
|
||||
new String[] { "te", "es", "st", "tes", "est" });
|
||||
new String[] { "te", "tes", "es", "est", "st" });
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -58,7 +58,7 @@ public class TestNGramFilters extends BaseTokenStreamFactoryTestCase {
|
|||
TokenStream stream = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
|
||||
stream = tokenFilterFactory("NGram").create(stream);
|
||||
assertTokenStreamContents(stream,
|
||||
new String[] { "t", "e", "s", "t", "te", "es", "st" });
|
||||
new String[] { "t", "te", "e", "es", "s", "st", "t" });
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -71,7 +71,7 @@ public class TestNGramFilters extends BaseTokenStreamFactoryTestCase {
|
|||
"minGramSize", "2",
|
||||
"maxGramSize", "3").create(stream);
|
||||
assertTokenStreamContents(stream,
|
||||
new String[] { "te", "es", "st", "tes", "est" });
|
||||
new String[] { "te", "tes", "es", "est", "st" });
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
Loading…
Reference in New Issue