OrganizedDistributionGenerator

2015-01-13

azim58 - OrganizedDistributionGenerator

import java.util.*;

public class OrganizedDistribution {

private int number_of_elements = 0;
private ArrayList pool_of_ones = new ArrayList();
private ArrayList other_numbers = new ArrayList();
private ArrayList completeDistribution = new ArrayList();
private boolean assembled = false;
private double entropy;
/**

* @param args
*/
public static void main(String[] args) {
TODO Auto-generated method stub

}

public void initialize(int number_of_elements)
{
assembled = false;
this.number_of_elements = number_of_elements;
for(int i=0; i<number_of_elements; i++)
{
pool_of_ones.add(1);
}
}
public void addOtherNumber(int number)
{
assembled = false;
other_numbers.add(number);
}
public void subtract_from_pool_of_one()
{
assembled = false;
pool_of_ones.remove(pool_of_ones.size()-1);
}
public int getPoolOfOnesSize()
{

return pool_of_ones.size();
}
public ArrayList getCompleteDistribtion()
{
if(assembled==false)
{
assembleCompleteDistribution();
}
return completeDistribution;
}
public void assembleCompleteDistribution()
{
assembled = true;
completeDistribution.clear();
for(int i= 0; i<other_numbers.size(); i++)
{
completeDistribution.add(other_numbers.get(i).toString());
}
for(int i=0; i<pool_of_ones.size(); i++)
{
completeDistribution.add(pool_of_ones.get(i).toString());
}
}

public int getMaxOtherNumber()
{
return
Integer.valueOf(other_numbers.get(other_numbers.size()-1).toString());
}
public int getSize()
{
return other_numbers.size()+pool_of_ones.size();
}
public void removeOtherNumber()
{
assembled = false;
other_numbers.remove(other_numbers.size()-1);
}

public double determineEntropyOfThisDistribution()
{
if(assembled==false)
{
assembleCompleteDistribution();
}
ArrayList list = completeDistribution;
double sum = 0;
double total_number_of_elements=0;
for(int i=0; i<list.size(); i++)
{
total_number_of_elements+=Double.valueOf(list.get(i).toString());
}
-Sum (from i=0 to n) p(Xi)*log(Xi)
for(int i=0; i<list.size(); i++)
{
double current_frequency = 0;
current_frequency = Double.valueOf(list.get(i).toString());
if(current_frequency!=0)
{
double ratio = current_frequency/total_number_of_elements;
double ratio_and_log =ratio*Math.log(ratio);
sum+=ratio_and_log;
}
}
sum = 0-sum;
double entropy_of_distribution = sum;
this.entropy = entropy_of_distribution;
return entropy_of_distribution;
}

public double determineEntropy(ArrayList list)
{
double sum = 0;
double total_number_of_elements=0;
for(int i=0; i<list.size(); i++)
{
total_number_of_elements+=Double.valueOf(list.get(i).toString());
}
//-Sum (from i=0 to n) p(Xi)*log(Xi)
for(int i=0; i<list.size(); i++)
{
double current_frequency = 0;
current_frequency = Double.valueOf(list.get(i).toString());
if(current_frequency!=0)
{
double ratio = current_frequency/total_number_of_elements;
double ratio_and_log =ratio*Math.log(ratio);
sum+=ratio_and_log;
}
}
sum = 0-sum;
double entropy_of_distribution = sum;

return entropy_of_distribution;
}

}

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