/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 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 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; import org.junit.Assert; import org.junit.Test; public class TestExcel { @Test 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); } } } }