/*
  Copyright 2006 by Sean Luke
  Licensed under the Academic Free License version 3.0
  See the file "LICENSE" for more information
*/


package ec.app.tutorial3;
import ec.*;
import ec.util.*;
import java.io.*;
import ec.vector.*;

public class MyStatistics extends Statistics
    {
    // The parameter string and log number of the file for our readable population
    public static final String P_POPFILE = "pop-file";
    public int popLog;

    // The parameter string and log number of the file for our best-genome-#3 individual
    public static final String P_INFOFILE = "info-file";
    public int infoLog;

    public void setup(final EvolutionState state, final Parameter base)
        {
        // DO NOT FORGET to call super.setup(...) !!
        super.setup(state,base);

        // set up popFile
        File popFile = state.parameters.getFile(
            base.push(P_POPFILE),null);
        if (popFile!=null) try
                               {
                               popLog = state.output.addLog(popFile,true);
                               }
            catch (IOException i)
                {
                state.output.fatal("An IOException occurred while trying to create the log " + 
                    popFile + ":\n" + i);
                }

        // set up infoFile
        File infoFile = state.parameters.getFile(
            base.push(P_INFOFILE),null);
        if (infoFile!=null) try
                                {
                                infoLog = state.output.addLog(infoFile,true);
                                }
            catch (IOException i)
                {
                state.output.fatal("An IOException occurred while trying to create the log " + 
                    infoFile + ":\n" + i);
                }

        }

    public void postEvaluationStatistics(final EvolutionState state)
        {
        // be certain to call the hook on super!
        super.postEvaluationStatistics(state);

        // write out a warning that the next generation is coming 
        state.output.println("-----------------------\nGENERATION " + 
            state.generation + "\n-----------------------", popLog);

        // print out the population 
        state.population.printPopulation(state,popLog);

        // print out best genome #3 individual in subpop 0
        int best = 0;
        double best_val = ((DoubleVectorIndividual)state.population.subpops[0].individuals[0]).genome[3];
        for(int y=1;y best_val)
                {
                best = y;
                best_val = val;
                }
            }
        state.population.subpops[0].individuals[best].printIndividualForHumans(state,infoLog);
        }
    }