/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.data.buffer;
import java.io.File;
import junit.framework.Assert;
import junit.framework.TestCase;
import org.encog.ml.data.buffer.BinaryDataLoader;
import org.encog.ml.data.buffer.codec.ArrayDataCODEC;
import org.encog.ml.data.buffer.codec.ExcelCODEC;
import org.encog.neural.networks.XOR;
public class TestExcel extends TestCase {
public void testXLSX() {
final ArrayDataCODEC codec = new ArrayDataCODEC(XOR.XOR_INPUT,
XOR.XOR_IDEAL);
final BinaryDataLoader loader = new BinaryDataLoader(codec);
loader.external2Binary(new File("encog.bin"));
final ExcelCODEC codec2 = new ExcelCODEC(new File("encog.xlsx"));
final BinaryDataLoader loader2 = new BinaryDataLoader(codec2);
loader2.binary2External(new File("encog.bin"));
final ExcelCODEC codec3 = new ExcelCODEC(new File("encog.xlsx"), 2, 1);
final BinaryDataLoader loader3 = new BinaryDataLoader(codec3);
loader3.external2Binary(new File("encog.bin"));
final ArrayDataCODEC codec4 = new ArrayDataCODEC();
final BinaryDataLoader loader4 = new BinaryDataLoader(codec4);
loader4.binary2External(new File("encog.bin"));
final double[][] input = codec4.getInput();
final double[][] ideal = codec4.getIdeal();
for (int i = 0; i < XOR.XOR_INPUT.length; i++) {
for (int j = 0; j < XOR.XOR_INPUT[i].length; j++) {
Assert.assertEquals(input[i][j], XOR.XOR_INPUT[i][j], 0.01);
}
for (int j = 0; j < XOR.XOR_IDEAL[i].length; j++) {
Assert.assertEquals(ideal[i][j], XOR.XOR_IDEAL[i][j], 0.01);
}
}
}
}