/*
 * Encog(tm) Unit Tests v2.5 - Java Version
 * http://www.heatonresearch.com/encog/
 * http://code.google.com/p/encog-java/
 
 * Copyright 2008-2010 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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 * and trademarks visit:
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 */

package org.encog.util.normalize;

import junit.framework.TestCase;

import org.encog.NullStatusReportable;
import org.encog.neural.data.basic.BasicNeuralDataSet;
import org.encog.util.SerializeRoundTrip;
import org.encog.util.normalize.input.InputField;
import org.encog.util.normalize.input.InputFieldMLDataSet;
import org.encog.util.normalize.output.OutputFieldRangeMapped;
import org.encog.util.normalize.target.NormalizationStorageArray2D;
import org.junit.Assert;

public class TestNormDataSet extends TestCase {
	
	public static final double[][] ARRAY_2D = { {1.0,2.0,3.0,4.0,5.0},
		{6.0,7.0,8.0,9.0} };
	
	
	private DataNormalization create() {
		InputField a,b;
		double[][] arrayOutput = new double[2][2];
		
		BasicNeuralDataSet dataset = new BasicNeuralDataSet(ARRAY_2D,null);
		
		NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
		
		DataNormalization norm = new DataNormalization();
		norm.setReport(new NullStatusReportable());
		norm.setTarget(target);
		norm.addInputField(a = new InputFieldMLDataSet(false,dataset,0));
		norm.addInputField(b = new InputFieldMLDataSet(false,dataset,1));
		norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
		norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
		return norm;
	}
	
	private void check(DataNormalization norm) {
		double[][] arrayOutput = ((NormalizationStorageArray2D)norm.getStorage()).getArray();
		Assert.assertEquals(arrayOutput[0][0],0.1,0.1);
		Assert.assertEquals(arrayOutput[1][0],0.9,0.1);
		Assert.assertEquals(arrayOutput[0][1],0.1,0.1);
		Assert.assertEquals(arrayOutput[1][1],0.9,0.1);
	}
	
	public void testDataSet()
	{
		DataNormalization norm = create();		
		norm.process();
		check(norm);
	}
	
	public void testDataSetSerial() throws Exception
	{
		DataNormalization norm = create();
		norm = (DataNormalization)SerializeRoundTrip.roundTrip(norm);
		norm.process();
		check(norm);
	}
}
