| //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.math4.random; |
| |
| import org.apache.commons.math4.random.GaussianRandomGenerator; |
| import org.apache.commons.rng.simple.RandomSource; |
| import org.apache.commons.math4.stat.StatUtils; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| |
| public class GaussianRandomGeneratorTest { |
| |
| @Test |
| public void testMeanAndStandardDeviation() { |
| GaussianRandomGenerator generator = new GaussianRandomGenerator(RandomSource.create(RandomSource.MT, 17399225432l)); |
| double[] sample = new double[10000]; |
| for (int i = 0; i < sample.length; ++i) { |
| sample[i] = generator.nextNormalizedDouble(); |
| } |
| Assert.assertEquals(0.0, StatUtils.mean(sample), 0.012); |
| Assert.assertEquals(1.0, StatUtils.variance(sample), 0.01); |
| } |
| } |