package org.apache.solr.search.similarities;
/*
* 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.misc.SweetSpotSimilarity;
import org.apache.lucene.search.similarities.DefaultSimilarity;
import org.apache.lucene.search.similarities.Similarity;
import org.junit.BeforeClass;
/**
* Tests {@link SweetSpotSimilarityFactory}
*/
public class TestSweetSpotSimilarityFactory extends BaseSimilarityTestCase {
@BeforeClass
public static void beforeClass() throws Exception {
initCore("solrconfig-basic.xml","schema-sweetspot.xml");
}
/** default parameters */
public void testDefaults() throws Exception {
SweetSpotSimilarity sim = getSimilarity("text", SweetSpotSimilarity.class);
// SSS tf w/defaults should behave just like DS
DefaultSimilarity d = new DefaultSimilarity();
for (int i = 0; i <=1000; i++) {
assertEquals("tf: i="+i, d.tf(i), sim.tf(i), 0.0F);
}
// default norm sanity check
assertEquals("norm 1", 1.00F, sim.computeLengthNorm(1), 0.0F);
assertEquals("norm 4", 0.50F, sim.computeLengthNorm(4), 0.0F);
assertEquals("norm 16", 0.25F, sim.computeLengthNorm(16), 0.0F);
}
/** baseline with parameters */
public void testBaselineParameters() throws Exception {
SweetSpotSimilarity sim = getSimilarity("text_baseline",
SweetSpotSimilarity.class);
DefaultSimilarity d = new DefaultSimilarity();
// constant up to 6
for (int i = 1; i <=6; i++) {
assertEquals("tf i="+i, 1.5F, sim.tf(i), 0.0F);
}
// less then default sim above 6
for (int i = 6; i <=1000; i++) {
assertTrue("tf: i="+i+" : s="+sim.tf(i)+
" < d="+d.tf(i),
sim.tf(i) < d.tf(i));
}
// norms: plateau from 3-5
assertEquals("norm 1 == 7",
sim.computeLengthNorm(1), sim.computeLengthNorm(7), 0.0F);
assertEquals("norm 2 == 6",
sim.computeLengthNorm(1), sim.computeLengthNorm(7), 0.0F);
assertEquals("norm 3", 1.00F, sim.computeLengthNorm(3), 0.0F);
assertEquals("norm 4", 1.00F, sim.computeLengthNorm(4), 0.0F);
assertEquals("norm 5", 1.00F, sim.computeLengthNorm(5), 0.0F);
assertTrue("norm 6 too high: " + sim.computeLengthNorm(6),
sim.computeLengthNorm(6) < 1.0F);
assertTrue("norm 7 higher then norm 6",
sim.computeLengthNorm(7) < sim.computeLengthNorm(6));
assertEquals("norm 20", 0.25F, sim.computeLengthNorm(20), 0.0F);
}
/** hyperbolic with parameters */
public void testHyperbolicParameters() throws Exception {
SweetSpotSimilarity sim = getSimilarity("text_hyperbolic",
SweetSpotSimilarity.class);
for (int i = 1; i <=1000; i++) {
assertTrue("MIN tf: i="+i+" : s="+sim.tf(i),
3.3F <= sim.tf(i));
assertTrue("MAX tf: i="+i+" : s="+sim.tf(i),
sim.tf(i) <= 7.7F);
}
assertEquals("MID tf", 3.3F+(7.7F - 3.3F)/2.0F, sim.tf(5), 0.00001F);
// norms: plateau from 1-5, shallow slope
assertEquals("norm 1", 1.00F, sim.computeLengthNorm(1), 0.0F);
assertEquals("norm 2", 1.00F, sim.computeLengthNorm(2), 0.0F);
assertEquals("norm 3", 1.00F, sim.computeLengthNorm(3), 0.0F);
assertEquals("norm 4", 1.00F, sim.computeLengthNorm(4), 0.0F);
assertEquals("norm 5", 1.00F, sim.computeLengthNorm(5), 0.0F);
assertTrue("norm 6 too high: " + sim.computeLengthNorm(6),
sim.computeLengthNorm(6) < 1.0F);
assertTrue("norm 7 higher then norm 6",
sim.computeLengthNorm(7) < sim.computeLengthNorm(6));
assertTrue("norm 20 not high enough: " + sim.computeLengthNorm(20),
0.25F < sim.computeLengthNorm(20));
}
}