| /* |
| * 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; |
| import org.apache.commons.math3.exception.NumberIsTooLargeException; |
| |
| /** |
| * Test cases for UniformIntegerDistribution. See class javadoc for |
| * {@link IntegerDistributionAbstractTest} for further details. |
| */ |
| public class UniformIntegerDistributionTest extends IntegerDistributionAbstractTest { |
| |
| // --- Override tolerance ------------------------------------------------- |
| |
| @Override |
| public void setUp() { |
| super.setUp(); |
| setTolerance(1e-9); |
| } |
| |
| //--- Implementations for abstract methods -------------------------------- |
| |
| /** Creates the default discrete distribution instance to use in tests. */ |
| @Override |
| public IntegerDistribution makeDistribution() { |
| return new UniformIntegerDistribution(-3, 5); |
| } |
| |
| /** Creates the default probability density test input values. */ |
| @Override |
| public int[] makeDensityTestPoints() { |
| return new int[] {-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6}; |
| } |
| |
| /** Creates the default probability density test expected values. */ |
| @Override |
| public double[] makeDensityTestValues() { |
| double d = 1.0 / (5 - -3 + 1); |
| return new double[] {0, d, d, d, d, d, d, d, d, d, 0}; |
| } |
| |
| /** Creates the default cumulative probability density test input values. */ |
| @Override |
| public int[] makeCumulativeTestPoints() { |
| return makeDensityTestPoints(); |
| } |
| |
| /** Creates the default cumulative probability density test expected values. */ |
| @Override |
| public double[] makeCumulativeTestValues() { |
| return new double[] {0, 1 / 9.0, 2 / 9.0, 3 / 9.0, 4 / 9.0, 5 / 9.0, |
| 6 / 9.0, 7 / 9.0, 8 / 9.0, 1, 1}; |
| } |
| |
| /** Creates the default inverse cumulative probability test input values */ |
| @Override |
| public double[] makeInverseCumulativeTestPoints() { |
| return new double[] {0, 0.001, 0.010, 0.025, 0.050, 0.100, 0.200, |
| 0.5, 0.999, 0.990, 0.975, 0.950, 0.900, 1}; |
| } |
| |
| /** Creates the default inverse cumulative probability density test expected values */ |
| @Override |
| public int[] makeInverseCumulativeTestValues() { |
| return new int[] {-3, -3, -3, -3, -3, -3, -2, 1, 5, 5, 5, 5, 5, 5}; |
| } |
| |
| //--- Additional test cases ----------------------------------------------- |
| |
| /** Test mean/variance. */ |
| @Test |
| public void testMoments() { |
| UniformIntegerDistribution dist; |
| |
| dist = new UniformIntegerDistribution(0, 5); |
| Assert.assertEquals(dist.getNumericalMean(), 2.5, 0); |
| Assert.assertEquals(dist.getNumericalVariance(), 35 / 12.0, 0); |
| |
| dist = new UniformIntegerDistribution(0, 1); |
| Assert.assertEquals(dist.getNumericalMean(), 0.5, 0); |
| Assert.assertEquals(dist.getNumericalVariance(), 3 / 12.0, 0); |
| } |
| |
| // MATH-1141 |
| @Test |
| public void testPreconditionUpperBoundInclusive() { |
| try { |
| new UniformIntegerDistribution(1, 0); |
| } catch (NumberIsTooLargeException e) { |
| // Expected. |
| } |
| |
| // Degenerate case is allowed. |
| new UniformIntegerDistribution(0, 0); |
| } |
| } |