| /* |
| * 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.statistics.distribution; |
| |
| import org.junit.jupiter.api.Assertions; |
| import org.junit.jupiter.api.BeforeEach; |
| import org.junit.jupiter.api.Test; |
| |
| /** |
| * Test cases for ConstantContinuousDistribution. |
| */ |
| public class ConstantContinuousDistributionTest extends ContinuousDistributionAbstractTest { |
| |
| // --------------------- Override tolerance -------------- |
| |
| @BeforeEach |
| public void customSetUp() { |
| setTolerance(0); |
| } |
| |
| //--- Implementations for abstract methods -------------------------------- |
| |
| /** Creates the default uniform real distribution instance to use in tests. */ |
| @Override |
| public ConstantContinuousDistribution makeDistribution() { |
| return new ConstantContinuousDistribution(1); |
| } |
| |
| /** Creates the default cumulative probability distribution test input values */ |
| @Override |
| public double[] makeCumulativeTestPoints() { |
| return new double[] {0, 0.5, 1}; |
| } |
| |
| /** Creates the default cumulative probability distribution test expected values */ |
| @Override |
| public double[] makeCumulativeTestValues() { |
| return new double[] {0, 0, 1}; |
| } |
| |
| /** Creates the default probability density test expected values */ |
| @Override |
| public double[] makeDensityTestValues() { |
| return new double[] {0, 0, 1}; |
| } |
| |
| /** Override default test, verifying that inverse cum is constant */ |
| @Override |
| @Test |
| public void testInverseCumulativeProbabilities() { |
| ContinuousDistribution dist = getDistribution(); |
| for (double x : getCumulativeTestValues()) { |
| Assertions.assertEquals(1, dist.inverseCumulativeProbability(x), 0); |
| } |
| } |
| |
| //--- Additional test cases ----------------------------------------------- |
| |
| @Test |
| public void testMeanVariance() { |
| ConstantContinuousDistribution dist; |
| |
| dist = new ConstantContinuousDistribution(-1); |
| Assertions.assertEquals(-1, dist.getMean(), 0d); |
| Assertions.assertEquals(0, dist.getVariance(), 0d); |
| } |
| |
| @Test |
| @Override |
| public void testSampler() { |
| final double value = 12.345; |
| final ContinuousDistribution.Sampler sampler = new ConstantContinuousDistribution(value).createSampler(null); |
| for (int i = 0; i < 10; i++) { |
| Assertions.assertEquals(value, sampler.sample(), 0); |
| } |
| } |
| |
| @Test |
| public void testIsSupportConnected() { |
| final ConstantContinuousDistribution dist = new ConstantContinuousDistribution(-1); |
| Assertions.assertTrue(dist.isSupportConnected()); |
| } |
| } |