Java tutorial
/* * Copyright (C) 2011-2016 Rinde van Lon, iMinds-DistriNet, KU Leuven * * Licensed 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 com.github.rinde.rinsim.scenario.generator; import static com.github.rinde.rinsim.scenario.generator.TimeSeries.filter; import static com.github.rinde.rinsim.scenario.generator.TimeSeries.homogenousPoisson; import static com.github.rinde.rinsim.scenario.generator.TimeSeries.numEventsPredicate; import static org.junit.Assert.assertEquals; import org.apache.commons.math3.random.MersenneTwister; import org.apache.commons.math3.random.RandomGenerator; import org.junit.Test; import com.github.rinde.rinsim.scenario.generator.TimeSeries.TimeSeriesGenerator; /** * Tests for {@link TimeSeries}. * @author Rinde van Lon */ public class TimeSeriesTest { /** * Test whether the number of events filter works. */ @Test public void testFilter() { final TimeSeriesGenerator original = homogenousPoisson(500, 20); final TimeSeriesGenerator filtered = filter(original, numEventsPredicate(20)); final RandomGenerator rng = new MersenneTwister(123L); for (int i = 0; i < 10; i++) { assertEquals(20, filtered.generate(rng.nextLong()).size()); } } }