| /* |
| * 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.apache.commons.rng.UniformRandomProvider; |
| import org.junit.jupiter.api.Assertions; |
| import org.junit.jupiter.api.Test; |
| |
| /** |
| * Test default implementations in the {@link DiscreteDistribution} interface. |
| */ |
| class DiscreteDistributionTest { |
| /** |
| * Test the default interface methods. |
| */ |
| @Test |
| void testDefaultMethods() { |
| final DiscreteDistribution dist = new DiscreteDistribution() { |
| @Override |
| public double probability(int x) { |
| return x; |
| } |
| @Override |
| public double probability(int x0, int x1) { |
| return 0; |
| } |
| @Override |
| public double cumulativeProbability(int x) { |
| return 0; |
| } |
| @Override |
| public int inverseCumulativeProbability(double p) { |
| return 0; |
| } |
| @Override |
| public double getMean() { |
| return 0; |
| } |
| @Override |
| public double getVariance() { |
| return 0; |
| } |
| @Override |
| public int getSupportLowerBound() { |
| return 0; |
| } |
| @Override |
| public int getSupportUpperBound() { |
| return 0; |
| } |
| @Override |
| public boolean isSupportConnected() { |
| return false; |
| } |
| @Override |
| public Sampler createSampler(UniformRandomProvider rng) { |
| return null; |
| } |
| }; |
| |
| for (final int x : new int[] {Integer.MIN_VALUE, -1, 0, 1, 2, Integer.MAX_VALUE}) { |
| // Return the log of the density |
| Assertions.assertEquals(Math.log(x), dist.logProbability(x)); |
| } |
| } |
| } |