/*
* 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));
}
}