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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.client.solrj.io.stream.eval;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import org.apache.commons.math3.stat.correlation.PearsonsCorrelation;
import org.apache.solr.SolrTestCase;
import org.apache.solr.client.solrj.io.Tuple;
import org.apache.solr.client.solrj.io.eval.CorrelationEvaluator;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
import org.junit.Test;
import junit.framework.Assert;
public class CorrelationEvaluatorTest extends SolrTestCase {
StreamFactory factory;
Map<String, Object> values;
public CorrelationEvaluatorTest() {
super();
factory = new StreamFactory().withFunctionName("corr", CorrelationEvaluator.class);
values = new HashMap<String,Object>();
}
@Test
public void test() throws IOException {
double[] l1 = new double[] {3.4, 4.5, 6.7};
double[] l2 = new double[] {1.2, 3.2, 3};
values.clear();
values.put("l1", l1);
values.put("l2", l2);
Assert.assertEquals(new PearsonsCorrelation().correlation(l1, l2), factory.constructEvaluator("corr(l1,l2)").evaluate(new Tuple(values)));
}
}