| /* |
| * 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.commons.math4.legacy.stat.descriptive.moment; |
| |
| import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatisticAbstractTest; |
| import org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| /** |
| * Test cases for the {@link FirstMoment} class. |
| */ |
| public class FirstMomentTest extends StorelessUnivariateStatisticAbstractTest{ |
| |
| /** descriptive statistic. */ |
| protected FirstMoment stat; |
| |
| /** |
| * @see org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatisticAbstractTest#getUnivariateStatistic() |
| */ |
| @Override |
| public UnivariateStatistic getUnivariateStatistic() { |
| return new FirstMoment(); |
| } |
| |
| /** |
| * @see org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatisticAbstractTest#expectedValue() |
| */ |
| @Override |
| public double expectedValue() { |
| return this.mean; |
| } |
| |
| /** |
| * Added in an attempt to resolve MATH-1146 |
| * Commented out tests that won't pass with the current implementation. |
| */ |
| @Test |
| public void testSpecialValues() { |
| final FirstMoment mean = new FirstMoment(); |
| |
| // mean.clear(); |
| // mean.increment(Double.POSITIVE_INFINITY); |
| // mean.increment(1d); |
| // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d); |
| |
| // mean.clear(); |
| // mean.increment(Double.POSITIVE_INFINITY); |
| // mean.increment(-1d); |
| // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d); |
| |
| // mean.clear(); |
| // mean.increment(Double.NEGATIVE_INFINITY); |
| // mean.increment(1d); |
| // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d); |
| |
| // mean.clear(); |
| // mean.increment(Double.NEGATIVE_INFINITY); |
| // mean.increment(-1d); |
| // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d); |
| |
| // mean.clear(); |
| // mean.increment(Double.POSITIVE_INFINITY); |
| // mean.increment(Double.POSITIVE_INFINITY); |
| // Assert.assertEquals(Double.POSITIVE_INFINITY, mean.getResult(), 0d); |
| |
| // mean.clear(); |
| // mean.increment(Double.NEGATIVE_INFINITY); |
| // mean.increment(Double.NEGATIVE_INFINITY); |
| // Assert.assertEquals(Double.NEGATIVE_INFINITY, mean.getResult(), 0d); |
| |
| mean.clear(); |
| mean.increment(Double.POSITIVE_INFINITY); |
| mean.increment(Double.NEGATIVE_INFINITY); |
| Assert.assertTrue(Double.isNaN(mean.getResult())); |
| |
| mean.clear(); |
| mean.increment(Double.NEGATIVE_INFINITY); |
| mean.increment(Double.POSITIVE_INFINITY); |
| Assert.assertTrue(Double.isNaN(mean.getResult())); |
| |
| mean.clear(); |
| mean.increment(Double.NaN); |
| mean.increment(Double.POSITIVE_INFINITY); |
| Assert.assertTrue(Double.isNaN(mean.getResult())); |
| |
| mean.clear(); |
| mean.increment(Double.NaN); |
| mean.increment(Double.NEGATIVE_INFINITY); |
| Assert.assertTrue(Double.isNaN(mean.getResult())); |
| |
| mean.clear(); |
| mean.increment(Double.NaN); |
| mean.increment(0d); |
| Assert.assertTrue(Double.isNaN(mean.getResult())); |
| } |
| } |