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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.eval;
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.Locale;
import java.util.stream.Collectors;
import org.apache.commons.math3.stat.inference.MannWhitneyUTest;
import org.apache.solr.client.solrj.io.Tuple;
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
import org.apache.solr.common.params.StreamParams;
public class MannWhitneyUEvaluator extends RecursiveNumericListEvaluator implements ManyValueWorker {
protected static final long serialVersionUID = 1L;
public MannWhitneyUEvaluator(StreamExpression expression, StreamFactory factory) throws IOException {
super(expression, factory);
if(containedEvaluators.size() < 1){
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expecting at least one value but found %d",expression,containedEvaluators.size()));
}
}
@Override
public Object doWork(Object... values) throws IOException {
@SuppressWarnings({"unchecked"})
List<double[]> mannWhitneyUInput = Arrays.stream(values)
.map(value -> ((List<Number>) value).stream().mapToDouble(Number::doubleValue).toArray())
.collect(Collectors.toList());
if(mannWhitneyUInput.size() == 2) {
MannWhitneyUTest mannwhitneyutest = new MannWhitneyUTest();
double u = mannwhitneyutest.mannWhitneyU(mannWhitneyUInput.get(0), mannWhitneyUInput.get(1));
double p = mannwhitneyutest.mannWhitneyUTest(mannWhitneyUInput.get(0), mannWhitneyUInput.get(1));
Tuple tuple = new Tuple();
tuple.put("u-statistic", u);
tuple.put(StreamParams.P_VALUE, p);
return tuple;
}else{
throw new IOException(String.format(Locale.ROOT,"%s(...) only works with a list of 2 arrays but a list of %d array(s) was provided.", constructingFactory.getFunctionName(getClass()), mannWhitneyUInput.size()));
}
}
}