org.apache.solr.client.solrj.io.stream.eval.CumulativeProbabilityEvaluatorTest.java Source code

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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.distribution.NormalDistribution;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.solr.client.solrj.io.Tuple;
import org.apache.solr.client.solrj.io.eval.CumulativeProbabilityEvaluator;
import org.apache.solr.client.solrj.io.eval.NormalDistributionEvaluator;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
import org.junit.Test;

import junit.framework.Assert;

public class CumulativeProbabilityEvaluatorTest extends LuceneTestCase {

    StreamFactory factory;
    Map<String, Object> values;

    public CumulativeProbabilityEvaluatorTest() {
        super();
        factory = new StreamFactory().withFunctionName("prob", CumulativeProbabilityEvaluator.class)
                .withFunctionName("norm", NormalDistributionEvaluator.class);
        values = new HashMap<String, Object>();
    }

    @Test
    public void test() throws IOException {
        values.clear();
        values.put("l1", 3);
        values.put("l2", 7);

        NormalDistribution actual = new NormalDistribution(3, 7);
        Assert.assertEquals(actual.cumulativeProbability(2),
                factory.constructEvaluator("prob(norm(l1,l2),2)").evaluate(new Tuple(values)));
    }

}