blob: d7ee988c68be196e8258c3293ddb8ed7d8dbd522 [file] [log] [blame]
/*
* 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.
*/
package org.apache.lucene.analysis.hunspell;
import java.util.HashMap;
import java.util.Map;
import org.apache.lucene.util.CharsRef;
import org.apache.lucene.util.FixedBitSet;
import org.apache.lucene.util.automaton.Automaton;
import org.apache.lucene.util.automaton.CharacterRunAutomaton;
import org.apache.lucene.util.automaton.Operations;
/**
* An automaton allowing to achieve the same results as non-weighted {@link
* GeneratingSuggester#ngramScore}, but faster (in O(s2.length) time).
*/
class TrigramAutomaton {
private static final int N = 3;
private final CharacterRunAutomaton automaton;
private final int[] state2Score;
private final FixedBitSet countedSubstrings;
private final char minChar;
TrigramAutomaton(String s1) {
Map<String, Integer> substringCounts = new HashMap<>();
Automaton.Builder builder = new Automaton.Builder(s1.length() * N, s1.length() * N);
int initialState = builder.createState();
minChar = (char) s1.chars().min().orElseThrow(AssertionError::new);
for (int start = 0; start < s1.length(); start++) {
int limit = Math.min(s1.length(), start + N);
for (int end = start + 1; end <= limit; end++) {
substringCounts.merge(s1.substring(start, end), 1, Integer::sum);
}
int state = initialState;
for (int i = start; i < limit; i++) {
int next = builder.createState();
builder.addTransition(state, next, s1.charAt(i) - minChar);
state = next;
}
}
automaton =
new CharacterRunAutomaton(
Operations.determinize(builder.finish(), Operations.DEFAULT_DETERMINIZE_WORK_LIMIT));
state2Score = new int[automaton.getSize()];
for (Map.Entry<String, Integer> entry : substringCounts.entrySet()) {
int state = runAutomatonOnStringChars(entry.getKey());
assert state2Score[state] == 0;
state2Score[state] = entry.getValue();
}
countedSubstrings = new FixedBitSet(state2Score.length);
}
private int runAutomatonOnStringChars(String s) {
int state = 0;
for (int i = 0; i < s.length(); i++) {
state = automaton.step(state, s.charAt(i) - minChar);
}
return state;
}
int ngramScore(CharsRef s2) {
countedSubstrings.clear(0, countedSubstrings.length());
int score1 = 0, score2 = 0, score3 = 0; // scores for substrings of length 1, 2 and 3
// states of running the automaton on substrings [i-1, i) and [i-2, i)
int state1 = -1, state2 = -1;
int limit = s2.length + s2.offset;
for (int i = s2.offset; i < limit; i++) {
char c = transformChar(s2.chars[i]);
if (c < minChar) {
state1 = state2 = -1;
continue;
}
c -= minChar;
int state3 = state2 <= 0 ? 0 : automaton.step(state2, c);
if (state3 > 0) {
score3 += substringScore(state3, countedSubstrings);
}
state2 = state1 <= 0 ? 0 : automaton.step(state1, c);
if (state2 > 0) {
score2 += substringScore(state2, countedSubstrings);
}
state1 = automaton.step(0, c);
if (state1 > 0) {
score1 += substringScore(state1, countedSubstrings);
}
}
int score = score1;
if (score1 >= 2) {
score += score2;
if (score2 >= 2) {
score += score3;
}
}
return score;
}
char transformChar(char c) {
return c;
}
private int substringScore(int state, FixedBitSet countedSubstrings) {
if (countedSubstrings.getAndSet(state)) return 0;
int score = state2Score[state];
assert score > 0;
return score;
}
}