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* JBoss, Home of Professional Open Source
* Copyright [2011], Red Hat, Inc., and individual contributors
* by the @authors tag. See the copyright.txt in the distribution for a
* full listing of individual contributors.
*
* Licensed 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.modeshape.jcr.perftests;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import org.junit.Test;
/**
* Unit test for the 5nr summary calculations.
*
* @author Horia Chiorean
*/
public class StatisticsCalculatorTest {
@Test( expected = IllegalArgumentException.class )
public void fiveNumberSummaryInvalidValues() {
new StatisticalData(Collections.<Number>emptyList());
new StatisticalData(new Double[0]);
}
@Test
public void fiveNumberSummary() {
assertFiveNrSummary(new double[] {1, Double.NaN, 1, Double.NaN, 1}, 1.0);
assertFiveNrSummary(new double[] {1, 1, 1.5, 2, 2}, 1.0, 2.0);
assertFiveNrSummary(new double[] {1, 1, 2, 3, 3}, 1.0, 2.0, 3.0);
assertFiveNrSummary(new double[] {1, 1.5, 2.5, 3.5, 4}, 1.0, 2.0, 3.0, 4.0);
assertFiveNrSummary(new double[] {1, 1.5, 3, 4.5, 5}, 1.0, 2.0, 3.0, 4.0, 5.0);
assertFiveNrSummary(new double[] {1, 2, 3.5, 5, 6}, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0);
assertFiveNrSummary(new double[] {1, 2, 4, 6, 7}, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0);
assertFiveNrSummary(new double[] {1, 2.5, 4.5, 6.5, 8}, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0);
}
private void assertFiveNrSummary( double[] expectedOutput, Double... input ) {
double[] result = new StatisticalData(input).fiveNumberSummary();
assertEquals(5, result.length);
assertArrayEquals(expectedOutput, result, 0);
List<Double> valuesList = Arrays.asList(input);
Collections.reverse(valuesList);
result = new StatisticalData(valuesList.toArray(new Double[0])).fiveNumberSummary();
assertEquals(5, result.length);
assertArrayEquals(expectedOutput, result, 0);
}
}