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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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package org.apache.commons.math.stat.descriptive;
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import junit.framework.Test;
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import junit.framework.TestCase;
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import junit.framework.TestSuite;
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import org.apache.commons.math.TestUtils;
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* Test cases for the {@link StatisticalSummaryValues} class.
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* @version $Revision: 762087 $ $Date: 2009-04-05 10:20:18 -0400 (Sun, 05 Apr 2009) $
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public final class StatisticalSummaryValuesTest extends TestCase {
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public StatisticalSummaryValuesTest(String name) {
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public static Test suite() {
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TestSuite suite = new TestSuite(StatisticalSummaryValuesTest.class);
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suite.setName("StatisticalSummaryValues Tests");
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public void testSerialization() {
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StatisticalSummaryValues u = new StatisticalSummaryValues(1, 2, 3, 4, 5, 6);
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TestUtils.checkSerializedEquality(u);
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StatisticalSummaryValues t = (StatisticalSummaryValues) TestUtils.serializeAndRecover(u);
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public void testEqualsAndHashCode() {
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StatisticalSummaryValues u = new StatisticalSummaryValues(1, 2, 3, 4, 5, 6);
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StatisticalSummaryValues t = null;
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assertTrue("reflexive", u.equals(u));
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assertFalse("non-null compared to null", u.equals(t));
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assertFalse("wrong type", u.equals(Double.valueOf(0)));
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t = new StatisticalSummaryValues(1, 2, 3, 4, 5, 6);
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assertTrue("instances with same data should be equal", t.equals(u));
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assertEquals("hash code", u.hashCode(), t.hashCode());
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u = new StatisticalSummaryValues(Double.NaN, 2, 3, 4, 5, 6);
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t = new StatisticalSummaryValues(1, Double.NaN, 3, 4, 5, 6);
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assertFalse("instances based on different data should be different",
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(u.equals(t) ||t.equals(u)));
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private void verifyEquality(StatisticalSummaryValues s, StatisticalSummaryValues u) {
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assertEquals("N",s.getN(),u.getN());
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TestUtils.assertEquals("sum",s.getSum(),u.getSum(), 0);
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TestUtils.assertEquals("var",s.getVariance(),u.getVariance(), 0);
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TestUtils.assertEquals("std",s.getStandardDeviation(),u.getStandardDeviation(), 0);
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TestUtils.assertEquals("mean",s.getMean(),u.getMean(), 0);
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TestUtils.assertEquals("min",s.getMin(),u.getMin(), 0);
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TestUtils.assertEquals("max",s.getMax(),u.getMax(), 0);