/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * 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 rapaio.data; import junit.framework.Assert; import org.junit.Test; import rapaio.datasets.Datasets; import rapaio.io.JavaIO; import rapaio.sys.WS; import java.io.File; import java.io.IOException; import java.net.URISyntaxException; /** * Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 9/17/15. */ public class SerializationTest { @Test public void testFrames() throws IOException, ClassNotFoundException, URISyntaxException { testFrame(Datasets.loadIrisDataset(), "iris", 7243); testFrame(Datasets.loadCarMpgDataset(), "car", 48884); testFrame(Datasets.loadMushrooms(), "mushrooms", 1121870); testFrame(Datasets.loadSpamBase(), "spam", 2874777); testFrame(Datasets.loadLifeScience(), "life", 2640020); testFrame(Datasets.loadRandom(), "random", 311112); } private void testFrame(Frame df, String name, long initialSize) throws IOException, ClassNotFoundException { WS.println("Testing " + name + " dataset serialization"); df.printSummary(); File tmp = File.createTempFile("test-", "ser"); JavaIO.storeToFile(df, tmp); Frame restore = (Frame) JavaIO.restoreFromFile(tmp); WS.println("dataset " + name + " serialization size: " + tmp.length()); WS.println("achievement " + (initialSize - tmp.length()) + " ( " + WS.formatFlex((initialSize - tmp.length()) * 1.0 / initialSize) + "%)"); WS.println(); Assert.assertTrue(df.deepEquals(restore)); } }