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/*
* 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.solr.ltr.norm;
import java.nio.file.Paths;
import java.util.HashMap;
import java.util.Map;
import org.apache.solr.SolrTestCaseJ4;
import org.apache.solr.core.SolrResourceLoader;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
public class TestMinMaxNormalizer {
private final SolrResourceLoader solrResourceLoader = new SolrResourceLoader(Paths.get("").toAbsolutePath());
private Normalizer implTestMinMax(Map<String,Object> params,
float expectedMin, float expectedMax) {
final Normalizer n = Normalizer.getInstance(
solrResourceLoader,
MinMaxNormalizer.class.getName(),
params);
assertTrue(n instanceof MinMaxNormalizer);
final MinMaxNormalizer mmn = (MinMaxNormalizer)n;
assertEquals(mmn.getMin(), expectedMin, 0.0);
assertEquals(mmn.getMax(), expectedMax, 0.0);
assertEquals("{min="+expectedMin+", max="+expectedMax+"}", mmn.paramsToMap().toString());
return n;
}
@Test
public void testInvalidMinMaxNoParams() {
implTestMinMax(new HashMap<String,Object>(),
Float.NEGATIVE_INFINITY,
Float.POSITIVE_INFINITY);
}
@Test
public void testInvalidMinMaxMissingMax() {
final Map<String,Object> params = new HashMap<String,Object>();
params.put("min", "0.0f");
implTestMinMax(params,
0.0f,
Float.POSITIVE_INFINITY);
}
@Test
public void testInvalidMinMaxMissingMin() {
final Map<String,Object> params = new HashMap<String,Object>();
params.put("max", "0.0f");
implTestMinMax(params,
Float.NEGATIVE_INFINITY,
0.0f);
}
@Test
public void testMinMaxNormalizerMinLargerThanMax() {
final Map<String,Object> params = new HashMap<String,Object>();
params.put("min", "10.0f");
params.put("max", "0.0f");
implTestMinMax(params,
10.0f,
0.0f);
}
@Test
public void testMinMaxNormalizerMinEqualToMax() {
final Map<String,Object> params = new HashMap<String,Object>();
params.put("min", "10.0f");
params.put("max", "10.0f");
final NormalizerException expectedException =
new NormalizerException("MinMax Normalizer delta must not be zero "
+ "| min = 10.0,max = 10.0,delta = 0.0");
NormalizerException ex = SolrTestCaseJ4.expectThrows(NormalizerException.class,
() -> implTestMinMax(params, 10.0f, 10.0f)
);
assertEquals(expectedException.toString(), ex.toString());
}
@Test
public void testNormalizer() {
final Map<String,Object> params = new HashMap<String,Object>();
params.put("min", "5.0f");
params.put("max", "10.0f");
final Normalizer n =
implTestMinMax(params,
5.0f,
10.0f);
float value = 8;
assertEquals((value - 5f) / (10f - 5f), n.normalize(value), 0.0001);
value = 100;
assertEquals((value - 5f) / (10f - 5f), n.normalize(value), 0.0001);
value = 150;
assertEquals((value - 5f) / (10f - 5f), n.normalize(value), 0.0001);
value = -1;
assertEquals((value - 5f) / (10f - 5f), n.normalize(value), 0.0001);
value = 5;
assertEquals((value - 5f) / (10f - 5f), n.normalize(value), 0.0001);
}
@Test
public void testParamsToMap() {
final MinMaxNormalizer n1 = new MinMaxNormalizer();
n1.setMin(5.0f);
n1.setMax(10.0f);
final Map<String,Object> params = n1.paramsToMap();
final MinMaxNormalizer n2 = (MinMaxNormalizer) Normalizer.getInstance(
new SolrResourceLoader(Paths.get("").toAbsolutePath()),
MinMaxNormalizer.class.getName(),
params);
assertEquals(n1.getMin(), n2.getMin(), 1e-6);
assertEquals(n1.getMax(), n2.getMax(), 1e-6);
}
}