jidt/java/unittests/infodynamics/measures/discrete/MutualInformationTester.java

/*
 *  Java Information Dynamics Toolkit (JIDT)
 *  Copyright (C) 2012, Joseph T. Lizier
 *  
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *  
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *  
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

package infodynamics.measures.discrete;

import junit.framework.TestCase;

public class MutualInformationTester extends TestCase {

	public void testFullyDependent() throws Exception {
		MutualInformationCalculatorDiscrete miCalc = new MutualInformationCalculatorDiscrete(2, 0);
		
		// X2 is a copy of X1 - MI should be 1 bit
		miCalc.initialise();
		miCalc.addObservations(new int[] {0, 0, 1, 1}, new int[] {0, 0, 1, 1});
		double miCopy = miCalc.computeAverageLocalOfObservations();
		assertEquals(1.0, miCopy, 0.000001);
		
		// check that the number of observations doesn't cause any changes here:
		for (int n = 1; n < 100; n++) {
			miCalc.addObservations(new int[] {0, 0, 1, 1}, new int[] {0, 0, 1, 1});
			assertEquals(4*(n+1), miCalc.getNumObservations());
			miCopy = miCalc.computeAverageLocalOfObservations();
			assertEquals(1.0, miCopy, 0.000001);
		}
	}
	
	public void testIndependent() throws Exception {
		MutualInformationCalculatorDiscrete miCalc = new MutualInformationCalculatorDiscrete(2, 0);
		
		// X2 is unrelated to X1 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(new int[] {0, 0, 1, 1}, new int[] {0, 1, 0, 1});
		double miRand = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miRand, 0.000001);
	}

	public void testAnd() throws Exception {
		MutualInformationCalculatorDiscrete miCalc = new MutualInformationCalculatorDiscrete(2, 0);
		
		int[] X1 = new int[] {0, 0, 1, 1};
		int[] X2 = new int[] {0, 1, 0, 1};
		int[] Y  = new int[] {0, 0, 0, 1};
		
		// Y is dependent on X1 - MI should be 0.311 bits
		miCalc.initialise();
		miCalc.addObservations(X1, Y);
		double miX1Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.311, miX1Y, 0.001);
		assertEquals(4, miCalc.getNumObservations());
	}

	public void testXor() throws Exception {
		MutualInformationCalculatorDiscrete miCalc = new MutualInformationCalculatorDiscrete(2, 0);
		
		int[] X1 = new int[] {0, 0, 1, 1};
		int[] X2 = new int[] {0, 1, 0, 1};
		int[] Y  = new int[] {0, 1, 1, 0};
		
		// Y is independent of X1 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(X1, Y);
		double miX1Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miX1Y, 0.000001);

		// Y is independent of X2 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(X2, Y);
		double miX2Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miX2Y, 0.000001);
		
		// Y is fully determined from X1, X2 - MI should be 1 bits
		MutualInformationCalculatorDiscrete miCalcBase4 = new MutualInformationCalculatorDiscrete(4, 0);
		int[] X12 = new int[] {0, 1, 2, 3};
		miCalcBase4.initialise();
		miCalcBase4.addObservations(X12, Y);
		// miCalcBase4.setDebug(true);
		double miX12Y = miCalcBase4.computeAverageLocalOfObservations();
		assertEquals(1.0, miX12Y, 0.000001);
	}
	
	public void test3Xor() throws Exception {
		MutualInformationCalculatorDiscrete miCalc = new MutualInformationCalculatorDiscrete(2, 0);
		
		int[] X1 = new int[] {0, 1, 0, 1, 0, 1, 0, 1};
		int[] X2 = new int[] {0, 0, 1, 1, 0, 0, 1, 1};
		int[] X3 = new int[] {0, 0, 0, 0, 1, 1, 1, 1};
		int[] Y  = new int[] {0, 1, 1, 0, 1, 0, 0, 1};
		
		// Y is independent of X1 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(X1, Y);
		double miX1Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miX1Y, 0.000001);

		// Y is independent of X2 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(X2, Y);
		double miX2Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miX2Y, 0.000001);
		
		// Y is independent of X3 - MI should be 0 bits
		miCalc.initialise();
		miCalc.addObservations(X3, Y);
		double miX3Y = miCalc.computeAverageLocalOfObservations();
		assertEquals(0.0, miX3Y, 0.000001);

		// Y is independent of X1, X2 - MI should be 0 bits
		MutualInformationCalculatorDiscrete miCalcBase4 = new MutualInformationCalculatorDiscrete(4, 0);
		int[] X12 = new int[] {0, 1, 2, 3, 0, 1, 2, 3};
		miCalcBase4.initialise();
		miCalcBase4.addObservations(X12, Y);
		// miCalcBase4.setDebug(true);
		double miX12Y = miCalcBase4.computeAverageLocalOfObservations();
		assertEquals(0.0, miX12Y, 0.000001);
		
		// Y is fully determined from X1, X2, X3 - MI should be 1 bits
		MutualInformationCalculatorDiscrete miCalcBase8 = new MutualInformationCalculatorDiscrete(8, 0);
		int[] X123 = new int[] {0, 1, 2, 3, 4, 5, 6, 7};
		miCalcBase8.initialise();
		miCalcBase8.addObservations(X123, Y);
		// miCalcBase8.setDebug(true);
		double miX123Y = miCalcBase8.computeAverageLocalOfObservations();
		assertEquals(1.0, miX123Y, 0.000001);
	}

}