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Java example source code file (UniformIntegerDistributionTest.java)
The UniformIntegerDistributionTest.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; 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); } } Other Java examples (source code examples)Here is a short list of links related to this Java UniformIntegerDistributionTest.java source code file: |
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