Package org.encog.neural.data.bipolar

Source Code of org.encog.neural.data.bipolar.TestBiPolarNeuralData

/*
* Encog(tm) Core Unit Tests v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 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.
*  
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*/
package org.encog.neural.data.bipolar;

import org.encog.ml.data.specific.BiPolarNeuralData;
import org.junit.Assert;

import junit.framework.TestCase;

public class TestBiPolarNeuralData extends TestCase {
  public void testConstruct()
  {
    boolean[] d = { true, false };
    BiPolarNeuralData data = new BiPolarNeuralData(d);
    Assert.assertEquals("[T,F]",data.toString());
    Assert.assertEquals(1,data.getData(0),0.5);
    Assert.assertEquals(-1,data.getData(1),0.5);
    Assert.assertEquals(true, data.getBoolean(0));
    Assert.assertEquals(false, data.getBoolean(1));
    Assert.assertEquals(data.getData().length,2);
  }
 
  public void testClone()
  {
    boolean[] d = { true, false };
    BiPolarNeuralData data2 = new BiPolarNeuralData(d);
    BiPolarNeuralData data = (BiPolarNeuralData)data2.clone();
    Assert.assertEquals("[T,F]",data.toString());
    Assert.assertEquals(1,data.getData(0),0.5);
    Assert.assertEquals(-1,data.getData(1),0.5);
    Assert.assertEquals(true, data.getBoolean(0));
    Assert.assertEquals(false, data.getBoolean(1));
    Assert.assertEquals(data.getData().length,2);
  }
 
  public void testError()
  {
    BiPolarNeuralData data = new BiPolarNeuralData(2);
    Assert.assertEquals(2, data.size());
   
    try
    {
      data.add(0, 0);
      Assert.assertTrue(false);
    }
    catch(Exception e)
    {
    }
  }
 
  public void testClear()
  {
    double[] d = {1,1};
    BiPolarNeuralData data = new BiPolarNeuralData(2);
    data.setData(d);
    data.clear();
    Assert.assertEquals(-1,data.getData(0),0.5);
    data.setData(0,true);
    Assert.assertEquals(true,data.getBoolean(0));
  }
   

}
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