Package org.encog.neural.data.buffer

Source Code of org.encog.neural.data.buffer.TestBinaryData

/*
* 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.CSVDataCODEC;
import org.encog.neural.networks.XOR;
import org.encog.util.csv.CSVFormat;

public class TestBinaryData extends TestCase {
 
  public void testArrayCODEC() throws Exception
  {
    ArrayDataCODEC codec = new ArrayDataCODEC(XOR.XOR_INPUT,XOR.XOR_IDEAL);
    BinaryDataLoader loader = new BinaryDataLoader(codec);
    loader.external2Binary(new File("encog.bin"));
 
    ArrayDataCODEC codec2 = new ArrayDataCODEC();
    BinaryDataLoader loader2 = new BinaryDataLoader(codec2);
    loader2.binary2External(new File("encog.bin"));
   
    double[][] input = codec2.getInput();
    double[][] ideal = codec2.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);
      }
    }
   
  }
 
  public void testCSV()
  {
    ArrayDataCODEC codec = new ArrayDataCODEC(XOR.XOR_INPUT,XOR.XOR_IDEAL);
    BinaryDataLoader loader = new BinaryDataLoader(codec);
    loader.external2Binary(new File("encog.bin"));
 
    CSVDataCODEC codec2 = new CSVDataCODEC(new File("encog.csv"), CSVFormat.ENGLISH, false);
    BinaryDataLoader loader2 = new BinaryDataLoader(codec2);
    loader2.binary2External(new File("encog.bin"));
   
    CSVDataCODEC codec3 = new CSVDataCODEC(new File("encog.csv"), CSVFormat.ENGLISH, false, 2, 1, false);
    BinaryDataLoader loader3 = new BinaryDataLoader(codec3);
    loader3.external2Binary(new File("encog.bin"));

    ArrayDataCODEC codec4 = new ArrayDataCODEC();
    BinaryDataLoader loader4 = new BinaryDataLoader(codec4);
    loader4.binary2External(new File("encog.bin"));
   
    double[][] input = codec4.getInput();
    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);
      }
    }

   
  }
 
}
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