Package eas.startSetup

Examples of eas.startSetup.ParCollection


            v = new Vector2D(-2.3, -1.7);
            a.add(v);
        }

        if (nummer == 6) {
            ParCollection params = GlobalVariables.getPrematureParameters();
            ArrowMaster zeichnen = new ArrowMaster(params);

            ArrayList<Double> dicken = new ArrayList<Double>();
            Polygon2D bez = new Polygon2D();
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     *            die Klasse Parametersatz weitergegeben. Zur Formatierung der
     *            Parameter siehe diese Klasse sowie die Klasse Konstanten des
     *            Pakets statistik.
     */
    public static void main(final String[] args) {
        ParCollection pr = GlobalVariables.getPrematureParameters();
        pr.overwriteParameterList(args);
       
        PfeilController steuer = new PfeilController(pr);
        // SonstMeth.log(SonstMeth.LOG_DEBUG, pr.toString(), pr, "plain");
        steuer.setVisible(true);
    }
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     *              an die Klasse Parametersatz weitergegeben. Zur Formatierung
     *              der Parameter siehe diese Klasse sowie die Klasse
     *              Konstanten der Pakets statistik.
     */
    public static void main(final String[] args) {
        ParCollection pr = GlobalVariables.getPrematureParameters();
        pr.overwriteParameterList(args);

        // Info-Datei schreiben:
        /*
        StatMeth.schreibeInfoDatei(pr);
        */
       
        SteuerFenster steuer = new SteuerFenster(pr);
        StaticMethods.log(
                StaticMethods.LOG_DEBUG,
                "\n" + pr.toString(),
                pr,
                "plain",
                null);
        steuer.ktList.removeAll();
    }
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        int anzahl = 0;
        RobEA aktRob;
        Knoten l;
        int gesAnz = 0;
        String[] verzPar = {"verz", verzeichnis};
        ParCollection params = GlobalVariables.getPrematureParameters();
        params.overwriteParameterList(verzPar);
       
       
        if (positiv) {
            System.out.println("Positive Automaten:");
        } else {
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    for(int i = 0; i < 100; i++)
    {
      net.mutate(rand);
    }
   
    ParCollection params = GlobalVariables.getPrematureParameters();

    agents = new NeuroAgentBenedikt[robots.length/2]; // TODO 
    for(int i = 0; i < robots.length/2; i++)
    {
      System.out.println("agent " + i);
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    this.sim = sim;
    this.rand = new Random();
    agents = new NeuroAgentBenedikt[sim.getRobots().length];
    stigmergy = new Stigmergy(sim.env.h, sim.env.w, 1);
   
    ParCollection params = GlobalVariables.getPrematureParameters();
   
    for(int i = 0; i < agents.length; i++)
    {
      agents[i] = new NeuroAgentBenedikt(sim.getRobots()[i], stigmergy, rand, params);
    }
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     * @param args  Parameters for the simulation formatted as alternating
     *              name / value pairs.
     */
    public static void main(String[] args) {
        SimulationStarter starter;
        ParCollection params = GlobalVariables.getPrematureParameters();
        params.overwriteParameterList(args);
       
        StaticMethods.log(
                StaticMethods.LOG_DEBUG,
                params.toString(),
                params,
                "plain",
                null);

//        try {
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        return s;
    }
   
    public static void main(String[] args) {
        ParCollection p = GlobalVariables.getPrematureParameters();
        p.overwriteParameterList(args);
        EarleyParser e = new EarleyParser("./sharedDirectory/grammar_friederike.txt", p);
        System.out.println(e);
       
        for (int i = 0; i < 100; i++) {
            for (int j = 0; j < 10; j ++) {
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