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package org.apache.lucene.search.suggest.fst;
/**
* 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 java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Locale;
import java.util.Random;
import org.apache.lucene.search.suggest.Lookup.LookupResult;
import org.apache.lucene.search.suggest.fst.FSTLookup;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.search.suggest.LookupBenchmarkTest;
import org.apache.lucene.search.suggest.TermFreq;
import org.apache.lucene.search.suggest.TermFreqArrayIterator;
/**
* Unit tests for {@link FSTLookup}.
*/
public class FSTLookupTest extends LuceneTestCase {
public static TermFreq tf(String t, float v) {
return new TermFreq(t, v);
}
private FSTLookup lookup;
public void setUp() throws Exception {
super.setUp();
lookup = new FSTLookup();
lookup.build(new TermFreqArrayIterator(evalKeys()));
}
private TermFreq[] evalKeys() {
final TermFreq[] keys = new TermFreq[] {
tf("one", 0.5f),
tf("oneness", 1),
tf("onerous", 1),
tf("onesimus", 1),
tf("two", 1),
tf("twofold", 1),
tf("twonk", 1),
tf("thrive", 1),
tf("through", 1),
tf("threat", 1),
tf("three", 1),
tf("foundation", 1),
tf("fourier", 1),
tf("four", 1),
tf("fourty", 1),
tf("xo", 1),
};
return keys;
}
public void testExactMatchHighPriority() throws Exception {
assertMatchEquals(lookup.lookup("two", true, 1), "two/1.0");
}
public void testExactMatchLowPriority() throws Exception {
assertMatchEquals(lookup.lookup("one", true, 2),
"one/0.0",
"oneness/1.0");
}
public void testRequestedCount() throws Exception {
// 'one' is promoted after collecting two higher ranking results.
assertMatchEquals(lookup.lookup("one", true, 2),
"one/0.0",
"oneness/1.0");
// 'one' is at the top after collecting all alphabetical results.
assertMatchEquals(lookup.lookup("one", false, 2),
"one/0.0",
"oneness/1.0");
lookup = new FSTLookup(10, false);
lookup.build(new TermFreqArrayIterator(evalKeys()));
// 'one' is not promoted after collecting two higher ranking results.
assertMatchEquals(lookup.lookup("one", true, 2),
"oneness/1.0",
"onerous/1.0");
// 'one' is at the top after collecting all alphabetical results.
assertMatchEquals(lookup.lookup("one", false, 2),
"one/0.0",
"oneness/1.0");
}
public void testMiss() throws Exception {
assertMatchEquals(lookup.lookup("xyz", true, 1));
}
public void testAlphabeticWithWeights() throws Exception {
assertEquals(0, lookup.lookup("xyz", false, 1).size());
}
public void testFullMatchList() throws Exception {
assertMatchEquals(lookup.lookup("one", true, Integer.MAX_VALUE),
"oneness/1.0",
"onerous/1.0",
"onesimus/1.0",
"one/0.0");
}
public void testMultilingualInput() throws Exception {
List<TermFreq> input = LookupBenchmarkTest.readTop50KWiki();
lookup = new FSTLookup();
lookup.build(new TermFreqArrayIterator(input));
for (TermFreq tf : input) {
assertTrue("Not found: " + tf.term, lookup.get(tf.term) != null);
assertEquals(tf.term, lookup.lookup(tf.term, true, 1).get(0).key);
}
}
public void testEmptyInput() throws Exception {
lookup = new FSTLookup();
lookup.build(new TermFreqArrayIterator(new TermFreq[0]));
assertMatchEquals(lookup.lookup("", true, 10));
}
public void testRandom() throws Exception {
List<TermFreq> freqs = new ArrayList<TermFreq>();
Random rnd = random;
for (int i = 0; i < 5000; i++) {
freqs.add(new TermFreq("" + rnd.nextLong(), rnd.nextInt(100)));
}
lookup = new FSTLookup();
lookup.build(new TermFreqArrayIterator(freqs.toArray(new TermFreq[freqs.size()])));
for (TermFreq tf : freqs) {
final String term = tf.term;
for (int i = 1; i < term.length(); i++) {
String prefix = term.substring(0, i);
for (LookupResult lr : lookup.lookup(prefix, true, 10)) {
assertTrue(lr.key.startsWith(prefix));
}
}
}
}
private void assertMatchEquals(List<LookupResult> res, String... expected) {
String [] result = new String [res.size()];
for (int i = 0; i < res.size(); i++)
result[i] = res.get(i).toString();
if (!Arrays.equals(expected, result)) {
int colLen = Math.max(maxLen(expected), maxLen(result));
StringBuilder b = new StringBuilder();
String format = "%" + colLen + "s " + "%" + colLen + "s\n";
b.append(String.format(Locale.ENGLISH, format, "Expected", "Result"));
for (int i = 0; i < Math.max(result.length, expected.length); i++) {
b.append(String.format(Locale.ENGLISH, format,
i < expected.length ? expected[i] : "--",
i < result.length ? result[i] : "--"));
}
System.err.println(b.toString());
fail("Expected different output:\n" + b.toString());
}
}
private int maxLen(String[] result) {
int len = 0;
for (String s : result)
len = Math.max(len, s.length());
return len;
}
}