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Java example source code file (ConstantRealDistributionTest.java)
The ConstantRealDistributionTest.java Java example source code/* * 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.math3.distribution; import org.junit.Assert; import org.junit.Test; /** * Test cases for ConstantRealDistribution. */ public class ConstantRealDistributionTest extends RealDistributionAbstractTest { // --- Override tolerance ------------------------------------------------- @Override public void setUp() { super.setUp(); setTolerance(0); } //--- Implementations for abstract methods -------------------------------- /** Creates the default uniform real distribution instance to use in tests. */ @Override public ConstantRealDistribution makeDistribution() { return new ConstantRealDistribution(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() { RealDistribution dist = getDistribution(); for (double x : getCumulativeTestValues()) { Assert.assertEquals(1,dist.inverseCumulativeProbability(x), 0); } } //--- Additional test cases ----------------------------------------------- @Test public void testMeanVariance() { ConstantRealDistribution dist; dist = new ConstantRealDistribution(-1); Assert.assertEquals(dist.getNumericalMean(), -1, 0d); Assert.assertEquals(dist.getNumericalVariance(), 0, 0d); } @Test public void testSampling() { ConstantRealDistribution dist = new ConstantRealDistribution(0); for (int i = 0; i < 10; i++) { Assert.assertEquals(0, dist.sample(), 0); } } } Other Java examples (source code examples)Here is a short list of links related to this Java ConstantRealDistributionTest.java source code file: |
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