import java.util.*;

public class TeamGeneticLearningFuzzy  { 
	PlayerGeneticLearningFuzzy[] Team;
	int iGen;

	public TeamGeneticLearningFuzzy() {
		iGen = 0;
		Team = new PlayerGeneticLearningFuzzy[100];
		for (int i = 0; i < 100; i++) Team[i]=new PlayerGeneticLearningFuzzy();
	}

        public TeamGeneticLearningFuzzy(String sInitType) {
                iGen = 0;
                Team = new PlayerGeneticLearningFuzzy[100];
                for (int i = 0; i < 100; i++) Team[i]=new PlayerGeneticLearningFuzzy(sInitType);
        }

	public void Train(int iIterations) {
		iGen++;
		Player[] Players = new Player[2];
		Players[0] = new PlayerS17();
		Table cTable;
		for (int i = 0; i < 100; i++) {
			Players[1]=Team[i];
			cTable = new Table(Players);
			for (int j = 0; j <  iIterations; j++) {
				cTable.play();
			}
		}
		Arrays.sort(Team);
		
		Random generator = new Random();
		int Parent1 = 100;
		int Parent2 = 100;
		int OldParent1 = 100;
		int OldParent2 = 100;
                for (int i = 40; i < 80; i++) {
			while (Parent1 == OldParent1) Parent1 = generator.nextInt(40);
			Parent2 = Parent1;
			while (Parent2 == Parent1 || Parent2 == OldParent2) Parent2 = generator.nextInt(40);
			Team[i] = new PlayerGeneticLearningFuzzy(iGen, Team[Parent1], Team[Parent2]);
			OldParent1 = Parent1;
			OldParent2 = Parent2;
		}
                for (int i = 80; i < 100; i++) {
			Team[i] = new PlayerGeneticLearningFuzzy(iGen);
		}

                for (int i = 0; i < 100; i++) {
			System.out.println(Team[i].getName()+": "+Team[i].getRunningScore());
		}

	}

	public void Train() { Train(1000); }

	public void Reset() {
                for (int i = 0; i < 100; i++) Team[i].reset();
	}


	public static void main(String[] args) {
                int iIterations;
                int iGenerations;
                int iTrainingRuns;

                if (args.length>0) iGenerations = Integer.parseInt(args[0]); else iGenerations = 25;
                if (args.length>1) iIterations = Integer.parseInt(args[1]); else iIterations = 100000;
                if (args.length>2) iTrainingRuns = Integer.parseInt(args[2]); else iTrainingRuns = 1000;

                TeamGeneticLearningFuzzy TeamGL = new TeamGeneticLearningFuzzy();
                System.out.println("Type: "+TeamGL.Team[0].getName()+"; Iterations: "+iIterations+"; Generations: "+iGenerations+"; Trainings Runs: "+iTrainingRuns);

                for (int i = 0; i < iGenerations; i++) {
                        System.out.println("Beginning Generation #"+(i+1));
			TeamGL.Train(iTrainingRuns);
                        System.out.println("Training Generation #"+(i+1)+" Complete");
                        TeamGL.Team[0].run(iIterations);
                        TeamGL.Team[1].run2(iIterations);
                }
	}
}