Experiment_1_2_3_code.ipynb

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    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "_JMG281MjMql"
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      "source": [
        "import numpy # used for vector/tensor operations\n",
        "import torch # used for vector/tensor operations\n",
        "import torch.distributions # used for sampling\n",
        "\n",
        "# globals\n",
        "DIM = 4*3\n",
        "POPULATION_SIZE = 15\n",
        "#MUTATION_RATE = 0.05\n",
        "MUTATION_RATE = 0.05\n",
        "TAU_PRIME = 0.34\n",
        "TAU = 0.5\n",
        "\n",
        "# TAU_PRIME = 1/numpy.sqrt(2*numpy.sqrt(DIM))\n",
        "# TAU = 1/numpy.sqrt(2*DIM)\n",
        "\n",
        "LAMBDA = 100\n",
        "MU = POPULATION_SIZE\n",
        "CROSSOVER_RATE = 0.0\n",
        "NUM_GENERATIONS = 100\n",
        "PROBLEM_NAME = \"Iris\"\n",
        "GA_ES = \"ES\""
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "(100, 4) := X\n",
        "(4, 3) := W\n",
        "Y = XW\n",
        "\n",
        "W = (X^T X)^(-1) XY\n",
        "\n",
        "Y := (100, 3)"
      ],
      "metadata": {
        "id": "iD0R9Xer_dny"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def ES_Population_Init(population_size):\n",
        "    \"\"\"\n",
        "    randomly intializes a population of population_size with\n",
        "    each individual stored a real number between -10 and 10\n",
        "    \"\"\"\n",
        "\n",
        "    # creates a uniform distributions with a batch_size of num_genes\n",
        "    # which samples between -10 and 10.\n",
        "    dist = torch.distributions.Uniform(torch.full((DIM,), -10.0), torch.full((DIM,), 10.0))\n",
        "\n",
        "    # takes population_size samples from the distribution\n",
        "    points = dist.sample((population_size,))\n",
        "\n",
        "    # initalizes stds to 1.0\n",
        "    stds = torch.ones((population_size, DIM))\n",
        "\n",
        "    # returns population\n",
        "    return torch.cat((points, stds), dim=1)\n",
        "\n",
        "\n",
        "def Iris_Fitness(population, X_train, y_train):\n",
        "    \"\"\"\n",
        "    computes the accuracy on iris for each member of the population\n",
        "    and returns a 1D tensor tensor with all these values\n",
        "    \"\"\"\n",
        "\n",
        "    #logits = numpy.matmul(population[:, :DIM].reshape(-1, 4), X_train.T)\n",
        "\n",
        "    logits = numpy.matmul(population[:, :DIM].reshape(-1, 3, 4), X_train.T)\n",
        "\n",
        "    #print(logits.shape)\n",
        "\n",
        "    #logits = logits.reshape(-1, 3, X_train.shape[0])\n",
        "\n",
        "    predictions = numpy.argmax(logits, axis=1)\n",
        "\n",
        "    #print(predictions.shape)\n",
        "\n",
        "    #print(y_train.shape)\n",
        "\n",
        "    accuracy = numpy.equal(predictions, y_train)\n",
        "\n",
        "    #print(accuracy)\n",
        "\n",
        "    accuracy = torch.mean(accuracy.float(), dim=1)\n",
        "\n",
        "    # returns fitness\n",
        "    return accuracy\n",
        "\n",
        "\n",
        "def ES_Himmelblau_Fitness(population):\n",
        "    \"\"\"\n",
        "    computes the Himmelblau fitness for each member of the population\n",
        "    and returns a 1D tensor tensor with all this values\n",
        "    \"\"\"\n",
        "\n",
        "    # get x and y from the population\n",
        "    x = population[:, 0]\n",
        "    y = population[:, 1]\n",
        "\n",
        "    # calculates the Himmelblau fitness\n",
        "    himmelblau = (x**2 + y - 11)**2 + (x + y**2 - 7)**2\n",
        "\n",
        "    # returns fitness\n",
        "    return -himmelblau\n",
        "\n",
        "\n",
        "def Calculate_Fitness(population, X_train, y_train):\n",
        "    \"\"\"\n",
        "    calls a function to calculate fitness\n",
        "    used to make it easy to switch out the fitness function\n",
        "    \"\"\"\n",
        "    return Iris_Fitness(population, X_train, y_train)\n",
        "\n",
        "\n",
        "def ES_Mutate(population, tau_prime, tau, epsilon=0.01, mutation_rate=1.0):\n",
        "    \"\"\"\n",
        "    mutates the population\n",
        "    as per the book/HW, we assume that the mutation_rate is 1.0\n",
        "    \"\"\"\n",
        "    # creates a normal distribution with mean 0.0 and std 1.0\n",
        "    dist = torch.distributions.Normal(0.0, 1.0)\n",
        "\n",
        "    # individual wide samples\n",
        "    individual_samples = dist.sample((population.shape[0], 1))\n",
        "\n",
        "    # gene specific samples\n",
        "    gene_samples = dist.sample((population.shape[0], DIM))\n",
        "\n",
        "    # updates stds\n",
        "    population[:, DIM:] *= torch.exp(tau_prime * individual_samples + tau * gene_samples)\n",
        "\n",
        "    # increase stds that are too small to be equal to epsilon\n",
        "    population[:, DIM:][population[:, DIM:] < epsilon] = epsilon\n",
        "\n",
        "    # update points\n",
        "    population[:, :DIM] += population[:, DIM:] * gene_samples\n",
        "\n",
        "    # returns population\n",
        "    return population\n",
        "\n",
        "\n",
        "def ES_Population_Make_New_Generation(population):\n",
        "    \"\"\"\n",
        "    samples parents, recombines parents to create children, mutates children,\n",
        "    and selects new generation\n",
        "    \"\"\"\n",
        "    # calculates uniform probabilities for parents\n",
        "    uniform_probs = torch.full((population.shape[0],), 1/population.shape[0])\n",
        "\n",
        "    # distribution used to select parents\n",
        "    parent_selection_dist = torch.distributions.Categorical(probs=uniform_probs)\n",
        "\n",
        "    # get parent indices\n",
        "    parent_idx = parent_selection_dist.sample((LAMBDA,))\n",
        "\n",
        "    # get parents\n",
        "    parents = population[parent_idx]\n",
        "\n",
        "    # creates children with intermediate recombination.\n",
        "    # I am using intermediate recombination over discrete recombination\n",
        "    # since intermediate recombination can select values for the child that\n",
        "    # are not contained in any parent. I thought that this might be helpful\n",
        "    # when looking at the loss landscape.\n",
        "    # Additionally, there is a note an page 65 of the textbook indicating the \n",
        "    # intermediate selection tends to work well with self-adaptation.\n",
        "    # each pair of parents creates two children.\n",
        "    children = torch.zeros_like(parents)\n",
        "\n",
        "    for i in range(0, parents.shape[0]-1, 2):\n",
        "        # create first child\n",
        "        crossover = numpy.random.uniform() < CROSSOVER_RATE\n",
        "\n",
        "        # note that I use two different alpha values and sample alpha from\n",
        "        # a normal distribution. This is slightly different than what the book does\n",
        "        # but I though that this could be helpful and provide more diversity.\n",
        "        if crossover:\n",
        "            alpha_1 = numpy.random.uniform()\n",
        "            child1 = alpha_1 * parents[i] + (1 - alpha_1) * parents[i+1]\n",
        "        else:\n",
        "            child1 = parents[i]\n",
        "\n",
        "        # create second child\n",
        "        crossover = numpy.random.uniform() < CROSSOVER_RATE\n",
        "\n",
        "        if crossover:\n",
        "            alpha_2 = numpy.random.uniform()\n",
        "            child2 = alpha_2 * parents[i] + (1 - alpha_2) * parents[i+1]\n",
        "        else:\n",
        "            child2 = parents[i+1]\n",
        "\n",
        "        # store children\n",
        "        children[i], children[i+1] = child1, child2\n",
        "\n",
        "    # mutate children\n",
        "    children = ES_Mutate(children, TAU_PRIME, TAU)\n",
        "\n",
        "    # select next generation with (mu, lambda) selection.\n",
        "    # I am using this type of selection, since the book has\n",
        "    # a note on page 89 saying that (mu, lambda) selection\n",
        "    # is preferred for Evolutionary Strategies. \n",
        "    # The most relavent section from the book seems to be\n",
        "    # \"(mu + lambda) selection hinders the self-adaptation mechanism\n",
        "    # to adapt strategy parameters.\"\n",
        "    sorted_children = sorted(children[:, None, :], key=lambda x: Calculate_Fitness(x, X_train, y_train).item())\n",
        "    next_gen = sorted_children[-population.shape[0]:]\n",
        "\n",
        "    return torch.cat(next_gen)\n",
        "\n",
        "\n",
        "def ES_Diversity(population):\n",
        "    \"\"\"\n",
        "    calculates the diversity of the population as the\n",
        "    Euclidian distance between the members of the population\n",
        "    that are furthest apart in GENOME SPACE\n",
        "    \"\"\"\n",
        "    max_dist = 0.0\n",
        "\n",
        "    for i in range(population.shape[0]):\n",
        "        for j in range(population.shape[0]):\n",
        "            dist = torch.sqrt(torch.sum((population[i] - population[j])**2)).item()\n",
        "\n",
        "            if dist > max_dist:\n",
        "                max_dist = dist\n",
        "\n",
        "    return max_dist"
      ],
      "metadata": {
        "id": "pj7VcjZ8u4PY"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def Calculate_Iris_Ensemble_Fitness(population, X_train, y_train):\n",
        "  \"\"\"\n",
        "  Combines individual prediction to make ensemble prediction\n",
        "  \"\"\"\n",
        "\n",
        "  # logits for the individuals\n",
        "  logits = numpy.matmul(population[:, :DIM].reshape(-1, 3, 4), X_train.T)\n",
        "\n",
        "  # predictions for the individuals\n",
        "  predictions = numpy.argmax(logits, axis=1)\n",
        "\n",
        "  #print(predictions)\n",
        "  #print(predictions.shape)\n",
        "\n",
        "  # ensemble predictions\n",
        "  ensemble_predictions = torch.mode(predictions, dim=0)[0]\n",
        "\n",
        "  # calculate ensemble accuracy\n",
        "  accuracy = numpy.equal(ensemble_predictions, y_train)\n",
        "\n",
        "  accuracy = torch.mean(accuracy.float())\n",
        "\n",
        "  # returns fitness\n",
        "  return accuracy"
      ],
      "metadata": {
        "id": "8SsDuiwBuucO"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import datasets\n",
        "from sklearn.utils import shuffle"
      ],
      "metadata": {
        "id": "He32AP4funyv"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# load in data\n",
        "iris = datasets.load_iris()\n",
        "\n",
        "X = iris.data[:100]\n",
        "y = iris.target[:100]\n",
        "\n",
        "# X = iris.data\n",
        "# y = iris.target"
      ],
      "metadata": {
        "id": "QjOQQUI7jhIz"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "NUM_RUNS = 1000\n",
        "\n",
        "if __name__ == '__main__':\n",
        "  dist = torch.distributions.normal.Normal(loc=torch.zeros(4), scale=torch.ones(4))\n",
        "\n",
        "  baseline_accuracy = []\n",
        "  ensemble_accuracy = []\n",
        "  train_max_accuracy = [ [] for _ in range(NUM_RUNS) ]\n",
        "  train_average_accuracy = [ [] for _ in range(NUM_RUNS) ]\n",
        "\n",
        "  for i in range(NUM_RUNS):\n",
        "    # shuffle data\n",
        "    X, y = shuffle(X, y)\n",
        "    noise = dist.sample((25,)) * 0.0\n",
        "    shift = dist.sample() * 0.5\n",
        "\n",
        "    # split into train and test\n",
        "    X_train = X[:75]\n",
        "    X_test = X[75:] + numpy.array(noise) + numpy.array(shift)\n",
        "\n",
        "    y_train = y[:75]\n",
        "    y_test = y[75:]\n",
        "\n",
        "    max_fitnesses = []\n",
        "    average_fitnesses = []\n",
        "\n",
        "    # initializes the population\n",
        "    population = ES_Population_Init(POPULATION_SIZE)\n",
        "\n",
        "    # used for comvergence termination\n",
        "    terminate = (torch.max(Calculate_Fitness(population, X_train, y_train)), 0)\n",
        "\n",
        "    # training loop\n",
        "    for generation_count in range(NUM_GENERATIONS):\n",
        "        # calculates population statistics\n",
        "        max_fitness = torch.max(Calculate_Fitness(population, X_train, y_train))\n",
        "        average_fitness = float(torch.mean(Calculate_Fitness(population, X_train, y_train)))\n",
        "\n",
        "        #train_max_accuracy[i].append(max_fitness.item())\n",
        "        #train_average_accuracy[i].append(average_fitness)\n",
        "\n",
        "        # prints population statistics\n",
        "        if generation_count == 0:\n",
        "            print(f\"{PROBLEM_NAME} {GA_ES} {MU} {LAMBDA} {TAU} {CROSSOVER_RATE} {generation_count} {generation_count*100} {round(max_fitness.item(), 3)} {round(average_fitness, 3)}\")\n",
        "\n",
        "        # creates new generation\n",
        "        population = ES_Population_Make_New_Generation(population)\n",
        "\n",
        "        # append to lists\n",
        "        max_fitnesses.append(max_fitness.item())\n",
        "        average_fitnesses.append(average_fitness)\n",
        "\n",
        "        # prints population statistics\n",
        "        # print(f\"{generation_count} {round(max_fitness.item(), 2)} {round(average_fitness, 2)}\")\n",
        "\n",
        "        # handles termination\n",
        "        if generation_count == NUM_GENERATIONS-1:\n",
        "            print(\"Generational Bound Reached\")\n",
        "            break\n",
        "        elif ((max_fitness-terminate[0])/(abs(terminate[0])+1e-5)) < 0.02:\n",
        "            terminate = (terminate[0], terminate[1]+1)\n",
        "\n",
        "            # if we haven't improve at least 2% in the last\n",
        "            # 20 generations then terminate\n",
        "            if terminate[1] >= 20:\n",
        "              pass\n",
        "                #print(\"Convergence Termination\")\n",
        "                #break\n",
        "        else:\n",
        "            terminate = (max_fitness, 0)\n",
        "\n",
        "    print(f\"{PROBLEM_NAME} {GA_ES} {MU} {LAMBDA} {TAU} {CROSSOVER_RATE} {generation_count} {generation_count*100} {round(max_fitness.item(), 3)} {round(average_fitness, 3)}\")\n",
        "\n",
        "    # calculate test performance\n",
        "    best_idx = torch.argmax(Calculate_Fitness(population, X_train, y_train))\n",
        "    best = population[best_idx]\n",
        "\n",
        "    best_acc = Calculate_Fitness(best[None], X_test, y_test)\n",
        "\n",
        "    baseline_accuracy.append(best_acc.item())\n",
        "\n",
        "    ensemble_acc = Calculate_Iris_Ensemble_Fitness(population, X_test, y_test)\n",
        "\n",
        "    ensemble_accuracy.append(ensemble_acc.item())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DIa8brpQ7_VX",
        "outputId": "b5e939e9-58e2-43da-fc6c-91d929d5e680"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.431\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.419\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.296\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.317\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.383\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.412\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.342\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.358\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.426\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.222\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.391\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.355\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.433\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.907 0.32\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.283\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.306\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.438\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.228\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.907 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.305\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.141\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.438\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.436\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.243\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.433\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.436\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.278\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.204\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.275\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.435\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.467\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.378\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.233\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.322\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.397\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.493 0.165\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.436\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.466\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.493 0.227\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.207\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.273\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.368\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.397\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.317\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.384\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.311\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.415\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.434\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.306\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.48 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.285\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.249\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.296\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.339\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.227\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.322\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.84 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.207\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.88 0.354\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.246\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.35\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.404\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.384\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.355\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.406\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.385\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.412\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.177\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.261\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.262\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.46\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.234\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.359\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.374\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.482\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.18\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.339\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.397\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.27\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.6 0.314\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.318\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.278\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.207\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.504\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.273\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.773 0.35\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.326\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.827 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.456\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.413\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.278\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.392\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.203\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.329\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.453\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.88 0.476\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.26\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.342\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.22\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.272\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.41\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.414\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.212\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.296\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.827 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.329\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.224\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.235\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.369\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.414\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.353\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.285\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.291\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.242\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.258\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.202\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.392\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.431\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.405\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.295\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.347\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.394\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.274\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.43\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.399\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.317\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.351\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.468\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.354\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.827 0.467\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.329\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.377\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.318\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.302\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.409\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.398\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.403\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.23\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.227\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.378\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.255\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.343\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.434\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.398\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.359\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.462\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.241\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.259\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.32\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.6 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.289\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.251\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.247\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.318\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.239\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.241\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.347\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.468\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.264\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.239\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.32\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.302\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.312\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.237\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.246\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.487\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.354\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.418\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.398\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.325\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.212\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.747 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.342\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.399\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.391\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.357\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.467\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.455\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.39\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.458\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.787 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.88 0.237\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.453 0.122\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.374\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.388\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.335\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.37\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.76 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.347\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.398\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.315\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.493 0.217\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.247\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.181\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.249\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.312\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.176\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.219\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.282\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.378\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.357\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.199\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.412\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.32\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.335\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.667 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.472\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.88 0.354\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.388\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.406\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.4\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.374\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.286\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.245\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.228\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.227\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.425\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.402\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.462\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.404\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.319\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.371\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.787 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.4\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.429\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.379\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.787 0.492\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.305\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.285\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.317\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.398\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.296\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.84 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.322\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.362\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.25\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.281\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.6 0.281\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.464\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.35\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.295\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.498\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.383\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.773 0.25\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.313\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.403\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.442\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.261\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.407\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.302\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.402\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.37\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.279\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.462\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.255\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.354\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.382\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.787 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.272\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.281\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.335\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.425\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.433\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.226\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.342\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.243\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.291\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.369\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.46\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.84 0.282\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.84 0.264\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.295\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.409\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.231\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.425\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.64 0.314\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.343\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.291\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.358\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.329\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.296\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.415\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.306\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.444\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.294\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.288\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.11\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.274\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.237\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.418\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.385\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.339\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.312\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.218\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.291\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.322\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.438\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.282\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.306\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.349\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.293\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.275\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.353\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.291\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.437\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.289\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.368\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.263\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.23\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.38\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.376\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.211\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.433\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.493 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.371\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.224\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.366\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.273\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.26\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.403\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.434\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.256\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.323\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.324\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.265\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.243\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.392\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.707 0.395\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.235\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.219\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.342\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.239\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.867 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.233\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.397\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.357\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.339\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.484\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.233\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.6 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.443\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.293\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.37\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.489\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.241\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.265\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.242\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.297\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.228\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.381\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.323\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.707 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.92 0.431\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.44\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.667 0.415\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.378\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.24\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.365\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.263\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.773 0.319\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.281\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.26\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.45\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.426\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.368\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.274\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.418\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.388\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.391\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.426\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.389\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.282\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.241\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.274\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.404\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.243\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.385\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.32\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.206\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.251\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.325\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.64 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.64 0.377\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.309\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.411\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.26\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.402\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.773 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.238\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.337\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.707 0.321\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.328\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.292\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.236\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.228\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.315\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.262\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.378\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.347\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.24\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.229\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.358\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.375\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.35\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.304\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.213\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.294\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.384\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.907 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.406\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.248\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.343\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.313\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.446\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.311\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.747 0.427\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.335\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.6 0.399\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.423\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.307\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.444\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.249\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.747 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.261\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.245\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.228\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.377\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.8 0.406\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.436\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.306\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.773 0.277\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.72 0.49\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.693 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.427\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.88 0.41\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.241\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.242\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.867 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.387\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.707 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.392\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.311\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.46\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.329\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.381\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.439\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.396\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.279\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.37\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.357\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.653 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.344\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.454\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.381\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.254\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.305\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.272\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.312\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.445\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.258\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.204\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.262\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.146\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.428\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.253\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.667 0.383\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.258\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.294\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.432\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.44\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.314\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.261\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.265\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.33\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.206\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.453\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.416\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.31\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.252\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.627 0.405\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.192\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.436\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.733 0.418\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.323\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.587 0.326\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.275\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.269\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.421\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.947 0.399\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.276\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.263\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.469\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.301\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.25\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.416\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.973 0.464\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.747 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.216\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.308\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.392\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.613 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.367\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.363\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.244\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.3\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.267\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.232\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.426\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.64 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.345\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.358\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.295\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.302\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.401\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.22\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.233\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.273\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.334\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.242\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.284\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.388\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.498\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.423\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.331\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.268\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.453\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.347\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.22\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.271\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.302\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.26\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.246\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.432\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.36\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.361\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.294\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.235\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.196\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.409\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.348\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.346\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.326\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.747 0.462\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.433\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.343\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.412\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.893 0.333\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.196\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.431\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.352\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.299\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.332\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.258\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.34\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.143\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.313\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.667 0.311\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.287\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.813 0.24\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.314\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.422\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.377\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.311\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.318\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.303\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.827 0.379\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.369\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.341\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.242\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.853 0.336\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.476\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.68 0.402\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.573 0.42\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.364\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.316\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.222\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.289\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.84 0.452\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.933 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.408\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.229\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.266\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.231\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.343\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.491\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.298\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.373\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.987 0.41\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.76 0.418\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.338\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.35\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.96 0.369\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.507 0.319\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.56 0.259\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.372\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.226\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 1.0 0.289\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.37\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.327\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.547 0.335\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.27\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.533 0.393\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n",
            "Iris ES 15 100 0.5 0.0 0 0 0.52 0.356\n",
            "Generational Bound Reached\n",
            "Iris ES 15 100 0.5 0.0 99 9900 1.0 1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(train_max_accuracy)\n",
        "print(train_average_accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y3og4Wm8dn1h",
        "outputId": "a5195305-dcc6-4432-cc8b-f55b1e26b2cc"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]\n",
            "[[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], []]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "\n",
        "file_name = 'Experiment_1_train_max_accuracy.csv'\n",
        "\n",
        "with open(file_name, 'w', newline='') as myfile:\n",
        "     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)\n",
        "     wr.writerow(train_max_accuracy)\n",
        "\n",
        "file_name = 'Experiment_1_train_average_accuracy.csv'\n",
        "\n",
        "with open(file_name, 'w', newline='') as myfile:\n",
        "     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)\n",
        "     wr.writerow(train_average_accuracy)"
      ],
      "metadata": {
        "id": "l_RN49cLe0oQ"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_max_accuracy = torch.Tensor(train_max_accuracy)\n",
        "train_average_accuracy = torch.Tensor(train_average_accuracy)\n",
        "\n",
        "print(train_max_accuracy.shape)\n",
        "\n",
        "max_avg = torch.mean(train_max_accuracy, dim=0)\n",
        "max_std = torch.std(train_max_accuracy, dim=0)\n",
        "average_avg = torch.mean(train_average_accuracy, dim=0)\n",
        "average_std = torch.std(train_average_accuracy, dim=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FAaTdy9jfDeX",
        "outputId": "b02357de-ddb0-4451-fc2d-f52739376de1"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1000, 100])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(max_std)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5FxYegkVm4OF",
        "outputId": "e52273af-2e35-4fd9-fb6f-bad3eb8e88c9"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tensor([0.1309, 0.0504, 0.0671, 0.0792, 0.0916, 0.0991, 0.1072, 0.1088, 0.1143,\n",
            "        0.1102, 0.1096, 0.1111, 0.1118, 0.1107, 0.1104, 0.1086, 0.1090, 0.1085,\n",
            "        0.1090, 0.1082, 0.1070, 0.1040, 0.1036, 0.1027, 0.1035, 0.1018, 0.1038,\n",
            "        0.1017, 0.1023, 0.0993, 0.1001, 0.0997, 0.0998, 0.0998, 0.0997, 0.0998,\n",
            "        0.0999, 0.0976, 0.0979, 0.0964, 0.0953, 0.0950, 0.0951, 0.0952, 0.0951,\n",
            "        0.0953, 0.0952, 0.0953, 0.0950, 0.0950, 0.0953, 0.0953, 0.0954, 0.0953,\n",
            "        0.0953, 0.0954, 0.0954, 0.0955, 0.0956, 0.0958, 0.0958, 0.0956, 0.0957,\n",
            "        0.0957, 0.0958, 0.0957, 0.0958, 0.0958, 0.0959, 0.0960, 0.0960, 0.0960,\n",
            "        0.0960, 0.0961, 0.0960, 0.0960, 0.0961, 0.0961, 0.0961, 0.0961, 0.0961,\n",
            "        0.0961, 0.0960, 0.0961, 0.0961, 0.0961, 0.0962, 0.0962, 0.0963, 0.0963,\n",
            "        0.0963, 0.0963, 0.0964, 0.0964, 0.0965, 0.0956, 0.0943, 0.0945, 0.0949,\n",
            "        0.0948])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.plot(max_avg, label=\"max_fitness\")\n",
        "# plt.fill_between(list(range(0,100)), (max_avg - max_std/2), (max_avg + max_std/2), alpha=0.2)\n",
        "plt.plot(average_avg, label=\"average_fitness\")\n",
        "# plt.fill_between(list(range(0,100)), (average_avg - average_std/2), (average_avg + average_std/2), alpha=0.2)\n",
        "plt.title(\"Evolution Statistics\")\n",
        "plt.ylabel(\"Fitness\")\n",
        "plt.xlabel(\"Generation\")\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.savefig('Experiment1_evolution_statistics.png', dpi=1200)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "f9jI7S_Afk5t",
        "outputId": "621e690b-be6c-40c6-900a-aeb51ab8fda2"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(baseline_accuracy)\n",
        "print(ensemble_accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g0_D1-oOgj7i",
        "outputId": "4d4b864c-8050-47e0-8ac0-82aab4750d89"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(numpy.mean(baseline_accuracy))\n",
        "print(numpy.mean(ensemble_accuracy))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nm0ogTe6xAEw",
        "outputId": "e3012771-cd1b-405b-dd73-92f72059e58f"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9299999985173345\n",
            "0.9366799982264638\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "\n",
        "file_name = 'iris_baseline_experiment_3_shift.csv'\n",
        "\n",
        "with open(file_name, 'w', newline='') as myfile:\n",
        "     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)\n",
        "     wr.writerow(baseline_accuracy)"
      ],
      "metadata": {
        "id": "bcXOiWYiAagc"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "\n",
        "file_name = 'iris_ensemble_experiment_3_shift.csv'\n",
        "\n",
        "with open(file_name, 'w', newline='') as myfile:\n",
        "     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)\n",
        "     wr.writerow(ensemble_accuracy)"
      ],
      "metadata": {
        "id": "rXfdWVfvA5RL"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.plot(baseline_accuracy, label=\"baseline_accuracy\")\n",
        "# plt.fill_between(list(range(0,100)), (max_avg - max_std/2), (max_avg + max_std/2), alpha=0.2)\n",
        "plt.plot(ensemble_accuracy, label=\"ensemble_accuracy\")\n",
        "# plt.fill_between(list(range(0,100)), (average_avg - average_std/2), (average_avg + average_std/2), alpha=0.2)\n",
        "plt.title(\"Baseline vs. Ensemble Comparison\")\n",
        "plt.ylabel(\"Classification Accuracy\")\n",
        "plt.xlabel(\"Run Number\")\n",
        "plt.legend(loc=\"lower right\")\n",
        "plt.savefig('Experiment3_comparison_shift.png', dpi=1200)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "nHLxC7Tk-IXX",
        "outputId": "41aa6254-e049-49e0-b723-aa4a44e6cc18"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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F3bt3w+PxIC8vT/eaunXr4syZM35LjRW6du2KzMxMvPnmm7jnnntM3TW1a9fGzp07Ncd/++03/3kn2bVrl+bY77//jqSkJGRnZwMAVq5ciXHjxmH+/Pn+NIWFhTh16lTA5RvV39q1a+Pzzz/H6dOnFdabYD0LIrIhtxQRNZSUlODTTz9FXFyc39TscrkgCILf3w8A+/bt08wwYs3qadWqFQD4TdvDhw/HwYMH8eKLL2rSnj9/XncmR6A4Ue6IESNQVFSE5cuXY82aNRg+fLji/MmTJzUjUvX9A8CePXuwZ88eG3cRGAUFBZr4jubNm0MURb98V1xxBVwuFx544AHNvUiShOPHjzsu1+LFixW/n332WQDwz3RjMXz4cGzatAlr167VnDt16pTmPuUkJSXh7rvvxo4dO3D33XczrQj/+c9/8N133wEABgwYgO+++w6bNm3ynz979ixeeOEF5OXloUmTJsY3aJFNmzYp4mYOHDiADz/8EJdddplfEXO5XBq5n332WcU3ahWe+jtgwAC43W7861//UqRbuHAhBEEwfGdExYMsN0TEsnr1av+o68iRI3jjjTewa9cuzJw50x+bMHDgQCxYsAD9+vXDNddcgyNHjmDx4sWoV68efv75Z39eDz74IL788ksMHDgQtWvXxpEjR/Dcc8+hRo0a/mDMMWPG4O2338ZNN92E9evXo0uXLnC73fjtt9/w9ttvY+3atYpFBZ3CiXLbtGmDevXq4d5770VRUZHCJQUAy5cvx3PPPYdhw4ahbt26OH36NF588UWkpaVhwIAB/nS9e/cGAO49fVauXMl0CVx66aXIycnhygMA/ve//2Hq1Km4+uqr0aBBA5SWluK1116Dy+XClVdeCcBrEXn44Ycxa9Ys7Nu3D0OHDkVqair27t2L999/HzfccAPuuOMO7jJ52Lt3L4YMGYJ+/fph06ZN+M9//oNrrrkGLVu21L3mzjvvxEcffYRBgwbhuuuuQ9u2bXH27Fls374dK1euxL59+wwXPrzzzjvxyy+/YP78+Vi/fj2uuuoq5Obm4tChQ/jggw/w3XffYePGjQCAmTNn4s0330T//v0xbdo0VKpUCcuXL8fevXvx7rvvQhSdHb82a9YMffv2VUwFB4AHHnjAn2bQoEF47bXXkJ6ejiZNmmDTpk34/PPPA5pezVN/Bw8ejJ49e+Lee+/Fvn370LJlS3z66af48MMPMX36dEXwMHEBEIYZWgRhCGsqeEJCgtSqVStpyZIlksfjUaR/+eWXpfr160vx8fFSo0aNpKVLl/qn8vpYt26ddPnll0vVqlWT4uLipGrVqkmjRo3STNctLi6WHn/8calp06ZSfHy8lJmZKbVt21Z64IEHpPz8fH863qngTZs21dzfuHHjNNNsecs14t5775UASPXq1dOc27JlizRq1CipVq1aUnx8vFSlShVp0KBBimm9vvtSy8bCaCq4/Dn4not6ivfevXsV06//+OMPacKECVLdunWlhIQEqVKlSlLPnj2lzz//XFP2u+++K3Xt2lVKTk6WkpOTpUaNGklTpkyRdu7c6U+j9+xr164tDRw4UHMcgDRlyhTN/f3666/SVVddJaWmpkqZmZnS1KlTpfPnz2vylNcFSfJOx541a5ZUr149KS4uTsrKypI6d+4sPfXUU4qp2EasXLlSuuyyy6RKlSpJMTExUtWqVaURI0ZIGzZsUKTbs2ePdNVVV0kZGRlSQkKC1KFDB+njjz9WpNF7D75vTT3F2nf/8qUTfM/oP//5j/97a926taLOS5IknTx5Uho/fryUlZUlpaSkSH379pV+++03zXPSK1t+zjcVnLf+nj59WrrtttukatWqSbGxsVL9+vWlJ598UtNmqN+3D9a7JKITQZIoeoogCIIwRhAETJkyReP2IYhIhGJuCIIgCIKoUJByQxAEQRBEhYKUG4IgCIIgKhQ0W4ogCIIwhcIziWiCLDcEQRAEQVQoSLkhCIIgCKJCccG5pTweD/7++2+kpqaGdIl9giAIgiDsI0kSTp8+jWrVqpkuUHnBKTd///23rQ0QCYIgCIIIPwcOHECNGjUM01xwyo1vQ7UDBw74l/AnCIIgCCKyKSgoQM2aNRUbo+pxwSk3PldUWloaKTcEQRAEEWXwhJRQQDFBEARBEBUKUm4IgiAIgqhQkHJDEARBEESFgpQbgiAIgiAqFKTcEARBEARRoSDlhiAIgiCICgUpNwRBEARBVChIuSEIgiAIokJByg1BEARBEBUKUm4IgiAIgqhQhFW5+fLLLzF48GBUq1YNgiDggw8+ML1mw4YNaNOmDeLj41GvXj0sW7Ys6HISBEEQBBE9hFW5OXv2LFq2bInFixdzpd+7dy8GDhyInj17YuvWrZg+fTomTpyItWvXBllSgiAIgiCihbBunNm/f3/079+fO/3zzz+POnXqYP78+QCAxo0b4+uvv8bChQvRt2/fYInJRVHhOZw4fACe+AxUSklEUcFRCPEpKC46j6TUDMQnJOH0qeNISEpBaWkJPB4PSosLkZSSDknywO12w+VyIf/4IWRXq4OS4iLknzgMyeMGAKRmVsHpk0f8//ckZCIlTkTh2Xx43KVIrZSDUiEOsVIxzp0+hbj4RJw7cwpVqtdFcf4/yD97HpIkITE5HfGiG5A8QEwSEpNTcL6oGIlJKTh99E+cOV+EhKQ0ZCQIOHrqNNwej79MAHDFxKFSleo4fCIfOZXSUXj+LM6fyUdsXAKS0zJRWlIMnD+B/HNFSMnIRqkYj/iiEyg4ew7JlaqiIP8khNLz3rxSshAnlSA5KRHusydRUFiMkrgMiIUnkZSSgbiEJMUzSEqthLj4BEiSB/nHDyEtMQ5uj4TCklIkx8eiuMQNd2wK4hITce7UUcTExiM1qxpKCs8CZ4/hTFGp/xlkZOXi9PkiFOYfRowrFkXnzyAtpzZKT/2NYskFQRBQUnQe6ZVzERefiMLzZ1Bw4jA88WkQi88AkgcJSWlwu0sQn5iCmJhYAIAgiigqPI/YuDigtBhFZ05BAhAf60LB+WLExidBFEUUnT8DAIiNTUBMXDxi4uJx5tRRpCcnIi69Ks6fOw13STHiEpIQn5CEQ4cOAgDSU1ORGCOgWBJRlH8UUlwySouLEJ+citi4eJw/U4DCcwXwxKcjzn0WcSJwrrgUVarXxfHDB+AuLUZcQjIkSUJJ0TmkZGTjbP5xuOPT4SrKR5XqFwEADv+1G1JsMnJyquHYP3vhcZcCALKr1cHJo3+jtKQIqZlVEBefCHdpCRJKC/BPURxQch7pGZVQWlyIwrP5SE6rBLHwFPLPFwMJGUiOj0Fx4TmIooiEpBQAQElJCVwul/c+EpOB8ycgeTyQEjJQWvYMfPUgNbMKzpw6hirVL8KRg38gNj4RSSnpOJt/Ah53MRJiXHClVPK+C0GAIIgoOn8WsfEJSEhMwcljfyMzqxryTxyGx+NBSdE5xMTGIzO7Gk6fOg63uwQlRef9dT4xOR0lYgISXB4IgoAijwtSYb73OpeIOJcId3IOEl0STh37G2mJcXClVvHKX/ZdF50/i6ysHBw/vB8lHqBKtTo4f+40Sk4fR0lCJhJcQEFhKcTCk0jNrAK3243UxAScOHUSYkIqCs/kQ3AXIiY2HrGp2Th77ixSYgUUnT+DpNQMFBeegyRJKC48CwBIS4xDsRAPj8eNxKRklJ49hbNFJUhPjIMnIQOnTx5BWmIcCs4XIykuBnHJ3ucVGyPi6NFDinYtLiEZgiAgISkFgiCiuKgQ506fQHblLBRJLng8HsTGxePc6VMoLjyHnBp1UXDmNErcHgjFZ5GRVRXFhef81wFASkY2zpdIqJSeisLzZ3Hm1DEkp1eGy30OsbEJOFtUiriEROQfPyRr+44iuUptFOcfQXJCAs6fzUdRqbddyEhNAeLLN0EuKSmGKIo4ffIIsrNzcerUccQmpuFcwXEkZNZA6dnjKBbikZ4UB0EQUHDiMATRhSrV6uDwX7vLvutSxCcm4/TpfKRVysXpo/uRlFYZhWfzISRlItZdBFEUEZeQBEnyQJIkFJw4zOwbqmRXQZFHhCgAhfnHcNaVhrTEWBScOw+xqACehEy4ivKRnF4ZRWdPwxUXj3NuESlxImJjY3H+7GmkJsZDTEzHiSMHIUqlyMrORWGJGyePH/Z/w6kZWUDhKZTGpuL8mVOIFYGk5DQgNhGnjv3tlyerah5KigtxJv8EUjOy4HIXQkxMx8mjfyMhOQ3FhedQObMSCkvdKDh5DO7SYsTHuFAptzaOH/kHmRnpOHL0CCTJg6S4GMTHuJB/vhgpCbEoOF+MKjnV4YpPBjg2twwmgiRJUlglKEMQBLz//vsYOnSobppu3bqhTZs2WLRokf/Y0qVLMX36dOTn5zOvKSoqQlFRkf+3b8v0/Px8R3cF/+2HdWj08RXMc+ekeBQK8aiEAsfKY+GRBBQiDklCkXliFediM5FUctL6dVK8rfJCxfySqzAx5hOkC+f8x9ySgLUtn0bc1uXoI/4YRun4OIk0ZAa57vj4KakzXJ4itCj8ER5JwN+ojBrCsZCUHa2ckFIQAzfShPPhFiXsHEcGKuOU//dJpCITpzXpIr3dqMicQBripWIkC4XBK+SinsDYDxzPtqCgAOnp6Vz9d1QFFB86dAg5OTmKYzk5OSgoKMD58+yGZd68eUhPT/f/q1mzZlBkE6CvpSYJRbYVmxLJxZ1WFCTdBqNYcsEtGcjIUGzUZbNksdNAlUrWqp2e7EVSDAqlWP8/VporXF/5FRtfGpcg4fDOb0Oi2LglwS+f/L5LJZH73Qai2FipPwBQ89yvyCv8DYC3PvkUG6v5hINQylgqiSiUvNa6SsKZiFBsfDKxvq8iSWmk99VJD/O70tZXXuSKDQCmYgPYazfk+L6rSKuXRbL2SO/5hgp12UW++ooCS4qN3jNWt7++/AEAf6y3LrDDRJVyY4dZs2YhPz/f/+/AgQNBKadhu15AzYsdz/endo85ks8tJbfgsyRzF+D/efL8f88pvU5xbluHxx2RpbTzdJxIb6o45pEE7PXkMNPv6fsqtqX11BzvVTQfjYqW+//9x91HkyZRKAYA7PDURKOi5ViX2K/sTGAGy3+SGnKl+6+nk1++x0tH+o9/X30MfmgzLyAZeJheMkXx+9fYZobpXfCA9Wy2tgvs3cvrVbC4VXWvPPwW09hWWa8lX4dGRcsVCvVfUhYOSZm28jPjWGYr0zQ/1J2K7vFv4ZlSpQV5q+ci9Cqa7/+9x1PVXyc3eFpq8jl/y/8h4YFj+D7vxoDllrPHVcdS+n1iLd1zS939sLzXt1iUPC1QsRyl5PZdSHjgGBIeOIaC2//CZ562YZPla0/5t/63UAXS3fts5fNs6q3M47dnPa9ofy8pWmQr/2AR1pgbq+Tm5uLwYaVf8/Dhw0hLS0NiYiLzmvj4eMTHx4dCvOD4GEWnXpEAl2Cuy7pl+q4nSLqvIAiQYrTvRNKxfokuEaxTavmKEKdJk4iisnPeUYUolmUUoDdWEvhGjEbPUHIlBCQDDyVQylnqSgBK9NO74IYgSdrn7YplpufFY2DZdArfO7aCW9TWGR589cgDES64y2WQYpl1NVA8Lo42TPTWNdZzkNdDve9MA0d7YQXJwfakCLFIjhEh8TyXECKK5fcYH+MKSb3XowDJ/r+53zkDUadfc8Up269AyggGUWW56dSpE9atW6c49tlnn6FTp05hkkiN8y9Xcki5kQCILvMOWancKO/HyPVmBcEVw9dYlyGKMWBVVbV8rEY9AcVl57ydmKus8XFJbk1aK3gEvvei26kIAqQYex2rFYpV45dSF3sQ4MMludlvWQxUuQl+U8NSbs0otalgCmUdv1bBDuw56eEWOeQUXJAklgyC4luRdP72py7rzCTHlRtr7YdR+iIpDvGxLuYgKZyIrvLvLT5WDK9yIyX5/5YgQhDtySJX2BTH45RtSTjvlUVYlZszZ85g69at2Lp1KwDvVO+tW7di//79ALwupbFjx/rT33TTTfjjjz9w11134bfffsNzzz2Ht99+G7fddls4xNcSBMuNEOCI2YcEAS6Oyl0qG+m7bfjceRBEF9NqIei4ilyinuWG7VOWEy+UKs65XN5rYsuUHrvwKjdGzzA0lhulnO6YJJ2UXmLAVvpElxhQ/IA7FMoN4/2b4bY58vc1+Or7KrShYPHAJafo/XbVyo0EQaEoKBUdBn6lxtn2zLqyZKDcIBbxMSIQE/xvyAouuXITIzpqrbJKvspyI9iURdB5bzGk3Ojzww8/oHXr1mjdujUAYMaMGWjdujXmzJkDAPjnn3/8ig4A1KlTB6tWrcJnn32Gli1bYv78+XjppZfCPg08mEiCc8qNngYuRz4S1XRIDilvouiCx0LHLoousBo6dcNh1LH4LTdlH2q8FJhyw9tQu3U7EgGIDYFyowok9cSYWG7gZiqZgiCiNIDmIhQNnx3Fwm1TwWQpN5IkBM9ywyGnILogCEChpHwOEmCg3DDei+87d3iwZtlyY5C8EHFIiHVBiGDlRhAEx117VsiXypUbj+C85Uar3ESWIyisMTc9evSA0Ux01urDPXr0wE8//RREqQIhGDE3zswGkAC4ONxSHlksSbBGHYLoAiyYk0WX6DeVy+FxS6nPiS7vPcVJgc3WkDjfi/IZqtxSYbDcSCbKTYzgQTHjmxRFAW64AB3LjhmhcUtZVyysKNlyhLIGX91h27Ee8eBxcShugn7MjVJOvb/LjviVm/DG3Bi6pXyWmxAMEKygbqcEjgFlsFDH3NgNKxB1lCIxRmshjCQiS9WKdoLhlnLo45AgMBUEbYHlnaHWleCMLIJozVfucsVAckq5KcsnLkDLDbdbyuiZhSBeoFjtoohL1klZDss15bXc2Fe0g+XilGNHuZFsjvxdLMsN7MX98MBlYdKJuZEMYm6M84tgt5QUi/gYFwQTZT3UqNtrPZdOKNDE3Nh8n6LOQE4daExuKcISokMfh9fvzpGXaKTcOINXueHvVFwukTnqUH9MaheMnPIRtfeaeARmubGj3Mg7FQFCSOIF1AHFgky50VvHxMVUboSA6kNIZkvZsZrYfAf6MTf6MhQHsCaLRzRXhAV/zI3aLSXoPn+W3TxolhuL+ZlabmJFCHHOfEPBWo8mnMrNaciVG87BLQNdy43qcKS5pSJLGkKD3QqpRvJmZl6ezHWlmS3l1PcvuJidiu5UcNHFLFytrBl1oP54jLJ8Ao+5sT4VXN6RSEKIYm5U1ha5cqNnZXAJrJgbISDLTSgaPjsxN1KscYC1HiLDLSVBMLTcBBJszGW58cfcmLmljI+XtznhjbkxohQu71Ybsc5YboIVCB5Ot9R5WeyVJARiuWHfgzo/stxUZILhlnIsSwE8jZUgs9wErUMSREsumRgXO6BYO1VdH5+pXnLMcsOr3OhLFYpprGprlhBX3pkXCRYa9ACVm5DMlrLhlhJsKpi+0az6voysR4EEG/MsnSAIYplbyjigWHkuhDE3Vi03Jo1ffKyomY5sF7X71ikEh2Im5ahXm9ZNJ7snr+XG3vvUWx9N/Xoo5qZCEwzlxinLjWDaWADeNWh8BGu2FESROctBbyq4KIrMsq2MFPwfukMxN1KAbilAgBCkgGK3TPFSu6Vc8Smyc1ZGq2JZQLE9QmG5sdVB2VxHyheHoH6/RgpMIM+AS7lhyOSTKyLcUpbbRxPlJkbULCRnl2KHZqWq4ZmhahXe5yhXciWB3YbyoGd90sbcRJY6EVnSRDtBsNw49XF4G7HALDdOKVost5TIcIX4cLlidJQb/mdT5DfR+pSbQGdLBb6Inxi0RfzKy1TPlpJ3BsUccRw+BCEw60soGj47ypdtU71vET9J/n6NrTOBjGy53FI6syHV69yYyeQf4Yc5oNjsecW4RM10ZLuUBmnicDjdUmrLjX3lhl2v1LmRW4qwSAANoixIjrdyiyrLzXnJXgdsGDwpuiy5A0SdgGJ146fuyOU4b7nhXedGP10wRnWAd00LH+pnIsoWhXRbsXQIQkCWm1C4pUKJWLYYpLpBN4rdCMitx+WWikFKQgzzWdvqeBwPhnUuv1K4IApAfJwzFpeSoFlunHVLGW1+rEa+3lEgy3r4Fj5Vow40JuWmQhMEyw1Hlk+UjFD8LkAyfo9pgC/EDv5jTaqlcY0c5Vq6BwLWtXseB4UcbOv2IvcHsttTDWOK7zEqRKPceCQBGUnsBibGFcN8tMkJyvSfe9roFvmNpynuHVC+SWKMENj2C7xuKf3VYAWIAvBGac+A5NjH2mxU1impXTXpuXWwLbEDfkruiiKXhWBalXKzqeZES3IG2vDtctUzPH9cSkVWip0YJgGvlPZTHFlSOhh7PTnY78nWvcql45ZyGyj1n8b2tiFfWd4clkJBFPDMyNb4XaqBg1JlxbmHhjZX/K5dOQmNclMN3VJOx1DwuMV5KJVEfOVpgdy0BHSum8V1zW+emtiSfqnu+eDFF5ooN4mZlrJjKcj7xer4KakL/vRUwbTiqdjpqYH308cq0noCUFTVMTd7PFWxLH0yxdxcUHB+vHs8VfFQybV8WXKM7jd5migsJTvbzEGD+76HR7Yp4IAW1cH1uhXKjYi8Nn1Qfe7vaNlrOJe8APB46Uh8KzXGLzlD2AkEF0RGzE1mUrm8W6oM8//tXXxQK/sP9/XFvscGomYlr2m6CHH4xN1Bk+79tGuxdt7NmNTtIvi0JL34Hl48nG6pK9vq72zsEgXcUzopIDk+6fgqfo1TdlweWaOmXlVYcLnQ8u7P0PrOVaZPQL5jtqCKuUms1RY/CU2Y171cqt19PtDOo6D9dMPz95RMxOxByh2+j6AScH++ccaCgAdLx2J+yVX+Q39IVdGzeCHecvfSvczvlpLdV6xLxEXZ7HWE9l2/Hd36m39DC0uu1BzbWH28bvrlpeUdtiDGoFn1dNzdvwlGywYXKQmxGNyquv93fKyIL+7siSvb1DBcodjpacy8MwxlgjCPDi1+EDf0bAhBENAwNxWbahnvXv6XlIWDo9bBE59qqfSV7m6W0rMwtfDWvwx7rvxUc/jekgnIK3wDA4seUZ3RPpNac35F67s+QffiRfjI0xlXiQtQ9+qHVAOKMkujzPKz1t0O9QpfNb0Hl6oP6l08H5+nDmVY00m5qcDwvVwjH7gannVuPOo1bMqukccTCJwBxfIRolsSFUFjvPEJ/o9KL73oAkymcMrvx+VyMbNiuXWYHTbDNCwGqNxwN9SysjUxNzaXQ1eiVdPkDaoEUWHKFq0E0ApKed3yuiiKujPGWFaagN1SJnXPbXuRMq2Vwve3kbXJt9K1+r70XqkguLiUBXa7oL+6rDxWxGd1FTT5CEz3iLf+Gc2WCu9UcL32ys5qu96s9K9hndFbB8pauSZyCiLzMfvqnl1XsEtkr0ulaCsEkdOar81HEPi8CuGElJsIh6fBllQdnOAfeSk7J76AYtnGmRBhJyyk/IPRa+lFiGazHGQdgbdTYHxgTOWG1VjLGoiyfANWbjh96YKecgPA5UTnwVr/R9WJyq0L8pgqs/qgWHRQ5ZYSBKBUxzUXDOXG7FHZzp/hgpEkc+XGN5rVLEeg98EEaTE3+X37lRumMUZbvkvQmy1VtoYPhwJfYmVhQsdWKBZU98j7HemnY7UbTriqzGPz1PfixfdeWfu58SgkMaKokl/SXCtxKjc+RV5xTBA0s6UiDVJunITzZauVkUCz9E71ZMzK0VzMkZlsZC/BXgX2Nfi6ipkgQjQJKFZ0GpamMTJNPIxUHs782PDG3Bg16E40DoLsvz7UnZLc3y7fPM+sYVM0zIIAtyI4WVS4vxTXMQNaA2tqTGW1PJYvw6/cyPMyL1P0Kzey786gwRdE+4uoGdV/hXLjU9wFtWVYYFqARZFtQS4fHJmLZiVI2qm9pSSoB27meQmmEyqCYG0EzBU6gW1R99UrteVGAp9LXd9yI1duXFz9EGudG9HscUYApNw4Cq9yw2+i5WkQPerq7u/MlQ0fV0CfavsFO6ZHXyOme6noghhnHMyq7FiNOwb5Po/Mj1W+GWhZPqFyS+ku4iUItqxirHy0T1q7zon/jIvfLeVR1B/VbClBUKyno7yO0VEEbOLncUsFkqs1t5RvE1qn3VJWka9ALV9dXL0atsKiVHbSVLnmkNdohqI2P2d6Q1uKrNkFBtaTgOCx3DDK8X0vLMsNDzGicm0j1u3zW24YLk3B/nYOoYKUmzDBrdxw9YBKy43/01e7pXgaV5VbShG3w9k4+xtWvfSCy3TxLWV8Cr/lhjkSVSgYzrilPCLn1FFBaQnzH4YIlwNOa9Y7MXJLueQxN6adm1xeZcyNAEHXcsN2SwV2r2YNqf2OiOGW8h/Tz9PFstxAv8EXRIFr7KNfK9myyGdn+eo5S2lhtSMuE8sNT/eg3t7DCKfWuZF0XDlGCAb56ZUVyNIH5QWbWW7Yn6HvGyrlXI1YlSViXMo+wTcCVMfc8FTKGGbMjUAxNxcUAXTABpmapvCoApR9f6sDirlKUy3iJ6oVJA5YLgjFxnSiCy4Tt5TacmP0HORiMZ+t/OP06X0hCyg26CCdcEsxzNpGsgk6C72xUAdAqy03VgKKA1lngwcP2GshmeKLL5Ed8v1tGFAssqw7+m4pCaJ99U7Q78zlbiHftysIJm1M2SmXwP4KrCziZ8VyY7kO6D5Lmy5di9eEynLDatt8bajacsPbd8SIotJl6X/TSrcUDwJDi/Hq6pGt3ZBy4yj8yk1gXatxfqyAYkkQ+EZO6oBiG/WXFXOj+EgFl+meMFYsN2ZuKUVAMZxxS7FmYLHQCyiWBP3ddq3AshSo37O8XJdLbkkyRh1zI1dmBNFazE2wZ0t5JOujeW++WmWAa7aUzlYHerMbBVEMYLVafTnk5fvcB4LqGk2HWPbi9ZQgf53ikNfSwoQWX5Ch5cZSTr57sma5cSKg2NTaLbCVXt97dX62lKpdhfmO6Oqp4IAvoNiWaCGDlBsn4bbcOBtzI0H1ITJGXmYftz+dS265EWxZblgBzWr5YkxibqD6CHn9u2zLjdLi4M09UMsN34hV3qFpF/FzoHXgUG7k92ptIz91QLHSvacbc8NoLAMfBQfHLSVAQKyoVnV9yo1+nr76qN71XT+G3hXYSFcnY4XlxhdQLAoKhV/v2TnilrIwW8qpdW60bimOds1GCrvxLgrMFESB7Zcymi3FQ4zm3WrdUr73YdYSstznoujM4CyYkHITJrhdU1wBxaJ2dhHUowbOjTNlsSQem0Ga5W6x8mOKzkcUIcYqV5M12lvKbBq7eVyk8jl4/xt6y40aR6aCQ1uXtMpNOcrgQOPy5fVFgMpyI+jvjM52SwV4r2aWG7tuH0HQdPJcNaPs3j2qQGnd2VKcCjorhdGzU7ql5JYb2fXqcn1uKVHHLSVqB0d6WAsothpzo3/c8mwpgTOhDGe2DDErk63c+N65drYU32DXu2WC/PvVTgXnfR+s9cQi3SUFkHLjMLwvnL9i8FpulMGq/ovlGYHndctjMtxQL+JnejkA+ci9/AK3yi0lmCzip2jaLM2WYqQTtEG0gQcU804FZwcUQ7C3hpAme6blRq10lN+ry4pyo1hDRdTG3OgGFAfBLWVCIJYbl2pmSblbyshy4ytX/gwFZnwC4ItbsNkhCPrtgFy58c2EEzRTwVU4OFvKyoaTVhVcPfHsWG4MMwRDAYRWcbWDuVuKXS/KLTf23FIxPFYVf7yZcVpWQDEEZ5ayCCak3DhJUAKK+fJTL87kFUc5lZenWFETc2NdVlZAs6JjFF2KKeemWJotpUVurfCNOJKEwHYF5/10jOIsnJstpR6Z65dpZSq4pLL8uVVKov5UcOeVG7ORokfT4fEhCb73wFJuDDJkuKUAfWuc4O0NrAtYdrUeeov4qde5YSGauaq5poIHbxE/w3WGLE6WEExttSy3lBOzpTgsNwzKY27U8XN86LUtin5CdGmOMfPS2zgzsnUbUm6chb8D5ldweCw3gsotpVUuvEttc1hu5Iv4SeqgMb7qwtp+QWm50SorHkkAYsvjcGJUshs9BdNRnMM783qL4ZwWr9gKQWldC2SBRH8+jNlSbpdyJpq8WZcrr+ZuSpm8qhVPBcEFj07cEasBDlShN5PVK5udMgSkJcYo5PM9Y2Plhr1xpp7lxluSuXzFTEuIoPvtst1S6o6c7ZYym1WlZy2SPxdLi/g5tkKx9TfNObZTELTNNOUI7Doj6VhueL6jpDgXYjnMwgJvzA3jvQngt+SHC1JuwkSGbJNIIwRBwC3FU7HXk4PJxdNwQKimSTOtd332SE0dUMxRG9OSy91F3u0XrNfgqplJmD2oiaIx96jcUgDwbeXLlRde8QJQ6SLgipfQvEZG+XHRZWxSNnFLyS1YTu1MzBvgLJ+ppYzxtBdQrLk/Rha/1b0eyG6Ez6regFY1MxTWBJcFy426/khqS6Cs8B2NpwGVLsKdJTcws7q0qbbeWoF7nZuxH1nNGUtGt1VNBRcU/9eT57rOeZoOUE+BETjN+BvSdDab1UG+OKLPQqn+ZNWdl1D2wQiAKvBYnVBv9F9eprXZUsFZ58Zkso+3aIP89HAioNi0TJ2BW/kzFvChuzNXWc9f2xa1KyfhhTHtIIoCBrcs/+b8MTeqQSOPjHoKu7w+18lKRu3KZpNEQgspN04ie9m/ZV2mmyw+NgbdGmRz5iniv57O6Fm8EP+X0Qs15+7QJGlVqxKS4mWLyonlH4ZSNg7zrUu9QrHWIqTm5+TOOC+VK2v/GtUW13eto0ivaCjKRpgdb3lVmVFOU2DaT0CLq5EQq7T0cM+WYjTWyg7IoeEGr2JiFFBsQ3FUx7kIDItFUXwlYMq3uPTGJ/HBlC4qyw3/J692Syk3Z1Uqy2dS8oBpP+Eddw9mXjUrp3CXy8LsSflXKL6ou8WMRTSrno6+zar6D/nXuTGJubh/SFPUyZbvNG1iaeB43WvuHoivYy5WXay/OKA85kXUdUvpY6zAld//z03u9P8tDyQvtrLInEMrNPNsC7O97zuM8g0GSKyYG0emgpumYE9Dlz2rW0umcpXVr1kuvrizJ1rWzAAAPDuqdflJiRFQ7G+byo+tab0EeYVvYFlpef/Fs3jrv8e0xRd39uSSM1SQchMkeDZMs4ruhyIoOx7f6FHTOfHM1pBd4+Fc50ZrTfDF/MjcUvIpo1YbuYAX8dNOBQ8U7tWaDXYFtzNbSv0OWbNABIN4JuXUdOPyFXVKpcyoLTc8I9RA4HFL2XJK+S/SWj4NjRpl71U7Y0xHCsGniHLIxJXKC3udG0FT1+T4nqWpe1zQDkigusbSbCmLb8hobykzNEq8qXapPRfsIHhvsQKzLdErO2D3rqJsUXPMZ6lnTlCRX6qyPEdi/A0pN04iaBtIFkbLtGuzlHUgel+1egM0lo+Uc7aUfB8mj0pO3ZgB9ewMX8yPLIkm5sYKJvtimbmlgmG54XVv6Xdogq3+XjuaZMihkc3mzDDVKtHKBk+t7JjcjJUAcpYoJu/NMD6GJ3/5d+bP0+CefAqCwuUJA93GOB7HRDrdM6UKBVRuudG/XjD0RZUjr+OSYn82e24pyWLsm943pm0/zb8Bs/rD3n5BPtCzF7fHMZxkKw+2SjMqhfHOy75JxXfN+o5ZjxdKhSYS95ki5SZImFpuuJUbnjSCqiPyXSRvsDlnHKmCgBXtsb7piJ2HXkCx1QBfzj1QAJ1unPlsAoN7E0SHt19QB5YKmgXooFEk9OeJmFlbVJYa9XO0In/A896Ny1Lvg8adK6Ou8syWKn//fJYwloXNgpS69U1vKrgcPbkEmKi9OpYbeUcfzNlSenjdUmZFqb4TAYb1lXVGPsPTzbuXnFV0vqPg6QpaRUaxgjnLcqO36rZi4MuAU4kOFqTcOIr8FZuP+viyNH9FomZ3V22D7c3GmnKj2VtK/yK25UiVV/l5q8oNf0fKasitz9LggfMdGrml7MTcqBfoYz0Xzf3aa2SUDZxKsRJFS0qjYHl1WnUGxqc9kt29m7TxaTwBxSzLjRGWdBtVOqOAWbdCuZEHFBtbjll/a8QQ2N+s3KJiZZ0bx6ymHDmxFV2+Z+JDbhVzC0FSbqC3hIGe1cpuKfoxNwq3FNNyw1a+5M0Xs58g5aYCoTDjmn1IDqrmgiqehhFQLNgoU7uIn57NXW25EVWlswOKrcAfIKlFERfh1JCIV9ky6NTtTQXnaHw4XUBmrjXN5qVy3Uxdn8xGcYHG3HBYbmzBtNx4MVzEzx/XxrcoojpGwZKIKvnksC03WkVamV/5Uvy8lhuFW0pu0QiX5UbUvz9WWQJM6jvjlPz927XcmK6EzjnRwykUAxbGOjcC03KjY/lTxNyw0oRXuQnMEU6oYFhP9FLaiLnR1S1EAVD43n0J5Q2AyDfKVFlbeMTUBiYKZVkpg5PlsqjRbr+gLtjmsFdVHm9Qp2kpvCN2eQchKZ+RnRAMjVuKuYhfAM9KgbJOKaaCi0o3p+lztTIFnYHZ92J3q5DyR6C1Zhi6pcoGEGpLmp4QAvi/eTVGip0ioNg/qFB2qcaKobFCVp65zC0lj7mxYNGwureUfmyQOk6FYVlQpzB99trz8mn2ems6BQxvLGTAaPeWYik35QHFsnR6bk0T/ZIsNxUV01Exp3Ijb3R16ooAtlvKo659HGXKOymNW8rUGuVLp61WZsqNOfZHN3KFgGdNDC54OyqDdW6ccUtp06hNy0bbdhmiUAoF1XsTlI2e2fMIeNRurtzYy5VludGOXrUX+q6zEHNjxYWl/q1nuZHNQvRtnWL2KvwriFuRRGC7Vy11+g5ZTSWjHUrLUFsSNNYsDhQBxSF2SxnUJHulsDoP5m7f2jgclmIoQLVKNFMsUm4qDgpFQP/RWvrIeBoEUeR0S1krTxNQrHuNevTKmtqo2n7BKpziM2NuGBtnBgxvQ21wr3ZG8ur78wYUqxtydaNiL6BYUim2grrBsxQ7FtyYG7du7IJZvlorp+T/v1GGZZYbpiWNUYxd+WA8EJJbl1yce0vJ7TqG9yj/bhQrW8vcUpaUm9AFFDMTWH4BMiXO5irnpt94GAOKRcYKxcwBl44wFHNzQaEd/emns1579UNe1KZN7WgUKrcCTyEeqOMEjBQ2Rh4qRan8fGhjbiTFho+hdUvpj+zttV7MqeCqihHopqDlWaumgqvcUsqYHLNGPDDlxkw5d0PkV+AVGZdZMQTtuzF2S/nqOOd9CRYGGJpL9RUjxQjbp9yAb8xsFnOjcKnqBMZzbyALC9+MCZLKash6NBrrpWmujEGR7O+guaX0XD4Ox+H4clO0Qf499+SDFoblRjdPstxcOFgIKOYetStiNvSSqNeB0Y5GBdXIW7c4RRLO0aZOQLHSfG3slvJo/EVmMThs2LOl5BtnOgR3QLGOcmNzaKZeNI5Zj1QVRS+o0azpUW63oD5r3sEoCHQquI2YCa5sDdxSPBtnWpmJ51Tnrodv4TrRxHIjh8v1BiiVOEU7ZyHmxqL1wygYVy4aq63VWjO9OerKZpKHJ2hTwXVixXSVWbtoY27KXVCyY6yYG5110xTOArLcXEiYPVq+xoenD9TMXPF1JKqZTnwNsbpRMNPOfdfIG8IguKU4YTbWQehUuAOKHb5XVkCx+p5dAp9yY0VhYO4tpeOGZZUWcMduFsPmNY1YpvzZyZUbL4azpXwmfZXyqusAFGTWHhM0ar5B0KlHFfTtK4u3HGPlRmatccBy45xbynxFXO02I8bWcrNHFrSp4DqzpZy127Bz9sVoKde50Q5M9R42xdxcUHCOzC2M2rksPKKq42E02Cz3BTsvg8ZK93q9Rl3+gcjyteOW4rWUMK+14D7hxUbMjeFOzZzwBBQ7d4/qqeDq31prB1deQcLOXZcrBNp74dkxW1239L8QS1Jpf8vdxTIrJ2tzR1Hgc+O6ROOJysqAcfaUd0sWDacCinncUixLoUH5LOVb/gzdIt9Gx1bKLEvAbONdLnYbGfj2C3KFhLFCMeO56dZpefVgpSLLTQWCO6AYgX3oo1aoinWpNO0y7VvjJjMvsyi3LfantsbbpRY2INRxS8mP12jbH0eFSjhapTOQnMWfd3mmXKlMLTeBNrDZjYEe99hzK6osIQAwqkMtS8VrLDeq8795auJcRkPO3PgVErV1ULvXlFlR+t/DQamyycUAa6r5KSEDn7tbY427PU4jsB2JJYvKje+G1bNo9JRwrxlfeQ/Fg5+zI6oifu10XBWsc7fGluRLkJKW6SuNa8zco2EV4wTyjs6R2VLWu5tRxffiT08VnJKSleXLHjPrPam/T6P6Obb4btTS2dH6q7RBQM2O+CujvaGcxVIMtnT6l1YOw6vKBFMJ962nEVp0ugwNc1LRXbXBsl3lhlUjBMYifi5/9tq2SpmfUmy2cYeUmwoEu+JdXTQH44vvVKSz0zn6adgPG/Om+H+KKrM1y3JjNoOiPDMRrzdZgrtKb2TIwr7ea45nKXblx3IbdkT23L3InrzaloLB+5k0qZauOabcFyZA5WbKZqDH3basTyzmXdHcUnq1q0RUKa2ji+9hjr7soAwgFpTKjsUVio1cols89XFb8c3G1zOOeQQR/9f9BdxUcluZCNbfLWtNqHK3lH5+vngFtxgvu87Y7aEWT2o8WD+xUkjdeLn3JndB74c2oM2dH8uTMzLREhcjolFumu55hTKm2HxWlsjK+kUG38zrzZcxj2/yNEX34kX42tPMf8zrljK+P41yY5D2S09LxMdo70MC8GbODOD6T03dbycnfYc2fccYptGnXLqP3RdjRPEcpCYlYO1t3TC9T32dlFZhrHPjYk/71lj09BR22XUUc3MBIaliEBh6M1c+XFHzqoBif2WVj6x595aCjZVUNZYb1kgquOucGKYTHbTcWER3gz/bAcXqaffKn1aC1c2VXfl5ZR1TB6ibvV8zhcts40tWvAqPe8IM3z2x3FI8AcVuV7zysM413gG62prA7uzVOajfk3LRNW0elr5fXve5yB4gWAkoNqqX1hbZUz5ltmtW7b7VWkhUCTSHFJ2+6ULDOksAcLwKVhrfIburWuvlB8Y3q9iOw6/cyK/QG9SWPxSKuanoKN6wOtCQb7EvTZY6wVzKT11UHBEY69xA5Oz0BFF3Q0ejVWhZlhtFIxzoNxpAzI1evEAgBHvmix5Mt5SFUaolVAHEgto66GDMjR1zu92dmuWwLTc+5cZAZp9yo4rF0N+kUvv98VrYWO+4XAzGQMJADjXGrjdzt5TkshJzYxCgbfIs1Csuy5Oz3VLMUozlC4CAdsVWfEfKQxprn5MxN/7gYYUwiFE31kbalz8JWW4qONoOHmDMojAbRVguSj0TSttgCwLftFXvHjjWhWFvnKnM1wjt9gtK+D9qxggsGAHFvK4fRsNVdsJWsep3KAiCohHhMdlzo3pumueosAyaWF6MOjZYtSJ5kQTldFR7t63Ti5jIJDDcUrLcGOm1ZfC7pvXlYs3GE0ULY2YjGWR1XFJMCJBd47IQaGtUB8zcmiq3oXl9Yyj8hmUYv3+zlc3th5IrBw3q1aM137LtT1u7cWa55VD+HYuMQHN9hd0HxdxUeGSdjKpSehQVGBZaYh1zp+aX3ErDmAqu2aJBDwMLj+5x0wMOKBX2r/cwFb/A4O+XnF3nRrN+B+O8U7qNYn0gdecsqBbNM23DA7TcMG7KA+VO4HYWPjOaLaVde0l2nagTc2NkCNEoN3zNr9rVaBYP4d1byv5gQJ5P+Q/2NyQ5FFBsTblRKbUcZZl7vQL8aDgs7FaKDsgSxJSjTLmRdxOsGVmi13KjVKA58ifLzYWE8mVrXjNn5dWr5MoN0FTxEGVlK1wYnNYiQRRtjPzNA4oDhtctxRyBB2MqePDW6jFC3WmJIjT35JifXqGLKWO21MqO+TLzgbql2MqNc8g6T8n3/XBYblQxN/rplcqMR+L7Hr2SGcnB6hm5suUoWB5AXq7EKFe5dWgquIUgeO/WUkq1VlOUZhBgReErL4cfuw9dUlzLXnww8HJYe0uxYm4A71o3Zqupq58vWW4qPOyRuQRB1RBbqKAcDaB3RVJGB66x2XO4paAfH6PfgalNp6zOIbAWl/8zYXyIgvF5O/BaCeQxU448D425Xa1EG0hmMU5I64aSd3YuqN1WhpiUbRpQzHQbiNoqbhGB8a3wzJZiBxQbW0HkZ3lcK+VplYqQXIFnrediZYVio4emiIPRCcoXrCg3VpU0HQzruC8/RiNm3Roiu0/TgGL77QrLKuc75JiLubw0/18iI+ZGABDrElRXmLWpOnWZLDcVFMPdgvm2QuAuSnCpFBnWQkwCOI2k/iW4LQig+m1tAS3OQgK4UhkY6wjc+WgbLmvXWxdD9x45rQzlGSmfm2ahSJ0AemZWwXBLORHUzVRueCw3ZcqNenE33cBfdScm8K9YrErGs2NzIIOB8jPyNkXPcuPMnkvmbin53yrXK/NarVuKe6sJG+i78nku1j+kffeBwYrXUg+6zBZ3lMvn/+20DuYApNw4iloHLj/qkWTKjoWAYq5konqk5muwVeuUcDSmgmgQs2FguVF8DoxF/ALHfl5BUSqszHRxEGYDrQoo1r1FK8GfgEq5UcbYCOrZd6aWG/7Oi3096xpRIYOdZ+1XfJmWG6MYEZ9bKkF2nZGioKwz3g6aJ57OJ4/IPM9Ubsw6cl50LDeKnC3UKaNvRr3RpRf9PdGsrnMDmNUPlmVQ9rdp9eZ7lyzUiltZhmXXO9ReMZ5lueVGkB/UxNzwuAxpnZsLCHUAHKNqceXD89GoF1RjNyLK6eK65UF/nRuj0YnOFTp/azEK3rQCe18jR7JWYWe2FP/z4EX7TgzWKbLkQvDmpShHURdVyw8wr5IfNFpGwGbMjdY2bhmJ0YnwrXPDmC1l6vpVy8s32jfaFTzwdW6MprsrlVsfCgue5TqlV5a1l2eaWhO8bb0MxfV2+2nTDp5txfcdCXgJjXJByv4rH6Aw3FKC13Kj/LY5+g1mElJuKhDykazy0ZrFFOhnyb5OaSNSB/SWmdU1DReHDIL1qeDeT4FhuVHlGwi8e0uZ45RSwZdOrrOZuRM4S1b8EhmNtr7lxmJHpA5SV697o4gDMcnLZANRM+WGdVa95o8t/PZ/7TouRt+s7949nHsOqXdRDqTZN58txW+5MdxbSmGZ01lw0Ko1ULcsK+9SPXuMbb1SYz2gmD+9/e9ZYt4LK2zSqkw6pfn/ZrulUKbcyDF/vmS5uZBQVVijqYyBWi1EUT2TRVD8vyyR8Sit/GJ9y42ufUbSUW6cNJkEMOoKNOqUhUNbHFhF3VwIEFRuKQPl1IJy462T6vojbxgFpavCZFdws9llZso/S7n1qAOKbdQRv27DUEIN3Uy+qeAu+VRw/VoqqOSz1Emp3NhmKxRb6WiNUspXUFYExgchoJi50aUOPMsdqJUl05hDRoaW1rkxiLUyxSioO4jBLP7NX1V2V29AuuKQKcw2R/IEIF3gkHLjKPIOXlAc1bgkGD5+FjyV27tvlHw2g1a5MF1+XJYuLsZ6tVDk7FOuREEvhTmqEWFAswaCsc4Nr1tRvb6R/4Qzlht2wKFO3gnafbf0UK/FpN0oU1Q9g/JzJYyVgwMNKNbbtVm5BYTyfBE4rAqs+DBmo6+Wx3tO7pYS/P9hpef/HtRnjLZfCDTmxsgiqi+vXLmxss6N/U5cu4ifSba81kwfscYbr5q6pfTqd4x5ED9TfJ8FR3XcruWmRPDJIR+waN+dUDa4lSTt96BGuf0CU7uxIalzkHITJJR7S2mnZvJq5DzmWvUaJCybpjcfrmEErmpbA42rpuGm7nXVBTGv8BoOtJabvMopHOXpcPFk7w7cPe8DADStXt4xl0gubGr+kGkWX7qbY727JU4nVJPJ5tBIKBzTA+r1wfG4aopDAkMWzShq2AtAZh3gihe5i2LWV7n1RRAU1Ulen99y98IOj2q3c5NO0F7MDfvbmFw8Dfs8Obgn5naTPGWdiNWAYp91R2dbAjlzS8ZBvRcXs9kf+rw/d22BepYBhnLDTKmHUfuimvrPKEGMicePKT3wc0I7jrL0JWtVK5Pjei+s2aeakhjKjeEn228eUKkuTiaXt3mWumadzJtdPgN/iHlmF2vKLG/CA2tnfmj/FP4SciGVffvqAdYVbaqrFBnfCteyvoP1fHXe5Qd17i//QW6pioT8hStHtXKzu5X4ET7LjTr+QDsa1U7d1clLFJEUF4PVt16Cmf0b8cupzASAyndr9SNNquTdgbu7dzf1WNlqmj2LF6DN5VP0rvQzueRWjC+5W6UgOmS54Z0tpbhv+5asH1N6ANe+y1A6oHFLaepMyxHArVuBKo0tlaksR72mjAC9+zmLRPQvfgx/CVXLz8YmwAjTgTHjcWnWuSn7/yeei9GjeCF+Fy8yybU8Y5blU+0q+0uUKZYmMUQ+vnC3wHJ3X+8lBnEiP6b2AlqN0hFRv64wA4o1sycNMEqm+H511jQSBLS940O0mLmOrzwdalsYCPHcG3tQaPDNZuYB07ZgZ42r2GWaFKn3jlLTK+GiOdtwSMjWv5YxE833/0ADitsNnIQac3fiomYdfYKWlyW4sGB4K7hcyr5DvbegrsuN8R7q9p6AUv/MYFJuKiYmbil5Y2pnpVVNtVLHQ6hT8a6pYdEvXX4dYxq8bseuxWxvKcXzlPTllB9lBxo6pNxwW97Yo3XLcuimVx43jLmxgHrhOPVsKV1roR4x+soN2wDPTiVHs/2CjXfLstz4/tTGAWnTqKd3G8fp6Cs3Rnjdb+x1s4K5zo3CciNLxl6NnKcoZ749nnvT7i0lcA0q9QKVg7eIH7sl89cvhwZjPpQBxWwLoaCOudHNi7XqsawMstxUJNjr3ADKhtJwrxgV+tvNlyNqbK5lo1ELyoU/lc0aEcqAYt79k9QzD7Q/ApAm5LuCs+Vmtk8OPHdN4LIgKAJMRZWbk9W4KxrS2ESLJaoF0B5yZBE/1gOUGOt/QPkNM2eaCNpnL/8uTIOudTB6mywLopWYG6PcFUG+AtstZa1TNxo48cdkcbmlGBZOZ9UEVXm22xV2GLrAarvg7Gwp3ztV10WXyvLHUgr1blcZjBxe5caZ5SUJLZoRnfzj1c550c+HZ7ShNKuXN6LqqbumWcFQ39XNQPXJBWOFYtWIiic39qflUBPHez86K1VbndquXtyrXAy15cYp/U2ViaBcMA+iALNAbYXCyxFYaSiNjvJkxXjEzNd/rfY9GXWiLIsPOK0D7LyZxXjTmgaMqC638iAMDTc6a2fZGDSZymVBZq4OXtVucueuY7mx65ayWKSlc4HC2ltKEAS4NMoxWwhWK6yI1yHLTUVFrdzI0V+dVAuHcgOoXATevLUxEjzF6afTVSkkteWG1REH+pUqLV089xNMtxS/cqM34rQohz8fRqPNCJ4MFM2zU7mloHJbBeKW8udnRR6o48xswqirvo5M7ZaSLxroM+nLUxhNBYcqtdURuNm6LupSnLDcKLdf0OngHOt9zd6/0aWsa7XfBJ/iqWxneAnoObAsev5qGTztplxhVbZL3sGy7IgFGURFLB4pNxUIdmMgQRlX48jS6PJSBZ3tF1SycX3aNj+moLulbFlutKNrpxYDZAVysgjiwMubvwBNQLHzm+2VWf5ko2FNQLGJW8pcuTGVQHPEG3MjGKTggTEVvCwndSyc0jpqY1d4ble08RGz9kOzTgmnTNqM2OsYKSxYTq33xJJD5yb4AorNFR4nCcxNra3Dvv+rDffOuqUY7ldB0Czix7Nxpg9RrhiR5aYiwV6lV225UQdr8qynYYQAKJdEZ4wqnQgoNmrIFFexZA64w1UpN7azC81Ik5UuoIBiTbPny0eZKrBnI88HUG84qlxTRmW5MXVLBajcsJQnzQwu+9my4rKMAop9aST1TBdDGcwGIByCcibl7QQNv3f5In56A4QQWW7k2FNuOPMPhsvN+EpmMf6FWB1XyIwVU986N2YDF93cFQNtUm4qPBIE7YwoWYXhWebdCEHVqrIWmPMuusaBjak2Utl8MG2huj80mK7SzB3LYCxGeGdL2e/c9CxOrMUZnbDcsNe5kSs36oBikwwNVrKVZP/Vg/W8bW9posy57P9ay4SkqpOKlXkFZVrt374jDjTwFt+nlQ7RcBE/2TlR5z6dc/M6Y/nwH1GvUCzA8nMMDertF7z4hzIOi8y03KgUOo1ybEEGUa7ckOWmYqLe10k7+0R+zqiB4VnET1A2Dj7LjVq54LICGaXRO8feGjRYZuBAYm6cwjFzPH+JAHRC0VWNiBN3zVJuFJ2derNWRqms/c7sw1Ju1O8ggDIY1ghDt1SZW5Klzih/sVcttygcswPUTW1uQuIrVU9vU5wIoltKB3tTwcv/a3KlrBwLzzCgmBv5wNS5bNllyfPWzvgTBN9sKZ2LDI+p3FIXuuVm8eLFyMvLQ0JCAjp27IjvvvvOMP2iRYvQsGFDJCYmombNmrjttttQWFgYImnN0GrFAKBe5yY4nS6rbOsjLFsjMQkQbUzltYZ1qwdzKniI3VK6lpsgWZCYi/g5VY7iFSjXuWFOF3VswjP7rHcRPwvWI1a+ZUoqWznT/+0v11Kh/AqK3nXs36qzlp6DwcBK91wQLDem35O19pMpF4+sFpRI0/J4rzUQw3m3lLwMv31IdlTUWH6t3BpZbspYsWIFZsyYgblz52LLli1o2bIl+vbtiyNHjjDTv/HGG5g5cybmzp2LHTt24OWXX8aKFStwzz33hFhyPfT2llJvnAnwPnp7H4220nJPBec0U2tLZLmlHPwwOWOU5KhNvOp8QoJjxbHHnt5Buv3GiLt0QVS6JlSWnKCv+8Nwl2p3vbcBS0nxr1Csb7kpDyiXj7oZi5qxyjITiXmMv/5b6hANv3e9ZIEplPxysDtH5kw+TX5qt1Rwv3un6r96+4VgBhQLLsY6N4KgVFDkwsDwkP94MC3mVgircrNgwQJMmjQJ48ePR5MmTfD8888jKSkJr7zyCjP9xo0b0aVLF1xzzTXIy8vDZZddhlGjRplae8KD8tFq4gOCaUlhdAS8MTd2Rgr6U2CtW1t4y+NLx3oOof7w2CNBp1YoFgQEZbaUBAHKvfMEaEfswRjB66HNX7NCsa1cfdY9bU6aDSsV7gO25caRTs6aocbhwtindKeF25k1ZlUOFVxuKZXbmD00MJbDSicdkOWGuf0Cq146oTgorTTqY4IgwCWq2ipWDKdO7oqZeheq5aa4uBg//vgj+vTpUy6MKKJPnz7YtGkT85rOnTvjxx9/9Cszf/zxBz755BMMGDBAt5yioiIUFBQo/oUE1bBH7ZbiHolxNpaK4mB/nRvDWBLdPCT29gn6Qz8NlrZfUD2vxNjyBtbFWOJef3+nEMCxszIPenVErYyar7ViszyVW4pnthQvdpXuYiHeVh1XZqxVUvTWuVFI6sQeFzqUCKrdzFXPOtAuo1SU5W9ojWVbaDyCbO1XxwKKGQMRXssNMzu10hmYAqK4Z47y+DHbfkGJpm5YRPHsWKtsQ0CsSzS13MS6RM2UcYDWuQEAHDt2DG63Gzk5OYrjOTk5OHToEPOaa665Bg8++CC6du2K2NhY1K1bFz169DB0S82bNw/p6en+fzVr1nT0PpSwR7L3D2mGyinlU2E1I0IHuiNJNW1XKY3vB0ejYEeWENdhdXHPjGqNvMpJeGZUa7SQ7R7OFCvklhvg0WHNUScrGddeXNvSdZvrm+9qzepj7VhupLTqOJzcUPe82q3pDShWaNTm9LwPkiuwlYp97PFUxcr06wLPyH8P2tlSmkX8GKuAazo1zU99V7Ueb2dMMpbZJt+3noe/hKqIv/J588QAkJCBte52+MzdBlJSNtB5GpDbAnuqDfQncWwWm4XtF9QPmbm/FuOYVaVInv6Xqldih6cmtnrYm7Hat9gZD0d83/KUsp3ui4e9bLOc8tL8ebMGsgIwvJ1xH1mvSgqm9qqHy5rmoEWNdIzvkieTl9a5scWGDRvw6KOP4rnnnsOWLVvw3nvvYdWqVXjooYd0r5k1axby8/P9/w4cOBBECdnr3NSvkoK3bugsS2VhJMbZUUmspdJV2g3XCNlgRKq/O6zeHQTHYqJupBpXTcOGO3tiSMtqSJBZcYK5txQvAgRc07EW1t/RA1VSZWu9mMixqc5U5LaRWSR1ndzKn3bXuSmd+hP2p7eX5QPFZoHeXcHV23loFWpDut+Jv0d/YV04QKPF9S6ej5MxWQ64pcr+rx0JMGJutIMXs69KMPilx/GYKrimWD5gc8ZK1v7yyagx9zfUbtyWK70gCrixZAYmldzhbRcuewi46Su4XbJ9wmwqEYzSbFxjkJvacsP7Xei0yyUxyehf/DgWlF7NVZ4VDC8tO7fKczHO3Pg96rbobJCYq7TyP1krFAtAtwbZuKR+FZl8SgE/n9EdWSnxiI9x4aOpXTF3cFNF2vLv5gLdWyorKwsulwuHDx9WHD98+DByc3OZ18yePRtjxozBxIkTAQDNmzfH2bNnccMNN+Dee+9laqLx8fGIj3dmtGgJVYCiWmngXU6d/6OR7/3CqrR8+diZCq5bhS24paxgdWl5Zb/llBycH67eMzCTQxBV70JPsVR3fAHconyGnyZP9SJ+qtlSjHGStZgn0wnOJudZV3BcwwwoFkwlYo3UA6laCsWJXaCFvCx0Kjw9K5QyKZYECKJbSo5VIwDLLeWEAqXrHg5IudFuv+BXnp1uQuW6jX+FYkYChrLPg3wauSQ5sxKVXcJmuYmLi0Pbtm2xbt06/zGPx4N169ahU6dOzGvOnTunUWBcvojvMJvA1KjdRJp1KjhN+rwfjcTYtVfZIIlOD45khQcp3yAUF8yplU6W522LzVs2VkCxnYZWM9WbZfoXlL8VHTIriN3BGXSsoEa/XAFk7e9YGMHCRntX+dshTaHq52Z9nRtBUC8boG9BChS95+qTg/W3siI4FVAcCCwlmnVfXKYb/1+WAooDWvdKq0T6/u/0VirKb7as71TUfcb3YEEGUVZ3PZ4L1HIDADNmzMC4cePQrl07dOjQAYsWLcLZs2cxfvx4AMDYsWNRvXp1zJs3DwAwePBgLFiwAK1bt0bHjh2xe/duzJ49G4MHD/YrOeFFNbL1/y34K5I6nVOwtl9QV1C+kazBKcsfmrnlwR4W8wqKBYkzH71GwtRyIygtKbqWGyUS7MW6emVTdaIKcZUrEkNQK1H8HbfOGa7rjfKzo0j6Z6UoLJ9ljbMmgIahcChuyCyc217HKZfTVwpvWjOMFgYX9H6ZKJS2lC+HO3FmzI0DZQRjmjNLLL2AYgdKYxRsPEixlLts0OORPAhnrxxW5WbEiBE4evQo5syZg0OHDqFVq1ZYs2aNP8h4//79CkvNfffdB0EQcN999+HgwYPIzs7G4MGD8cgjj4TrFlTIR2nyP9WzowBWACMLfsuN8Wqx/Iv4cSVTls2TWVjcUixCa6zUm0Jr2gGpAnj1np8oCppz9qxFxqvgqq2PmqngjDKZbinODUe119m6jCNj3/+1iprhtij+xf8MdkrXXMT5Ddq7zCZ8bY+yz5P9cGzjTPv5MBU0m65as3CBoNgiGN+d73sKquWGsUJx+d+yY5YtN2XXhdmbElblBgCmTp2KqVOnMs9t2LBB8TsmJgZz587F3LlzQyBZgMgrhCho112QnQ50bylA5ZZibogmcn3ghkl0GiBH9s+xgNXSOHSEoBFIeTyWEQFgrHNjryyjVbS1s6VcyvrA6ZayG5vAY7kKxC3Fsqppt3eQJ+EbWut9G2bfjGbpCJFvMGQZA6VCVDwStqLDq9RyCGLjGv1rtTE3fJZrJ6w71hE0f7FCwRwv1cXeOFNdsDW3VPmgRwqzWyqqZktFM4LaxWAyQii/jnfIIX+V2nVu+P391r8m/Sps3jnzn7dPWNorZuFa14fBhVyjWW02gv1HaVAnBVG1YJ7aksNdBCvwmOtKvQw5SzbLXnvvRks2+O5dudiZaSGcogiKTTu1axmFpkILjE5Xm8gh5cYsoNiqG0+9QjGiyy3FTOdw2cy9pRiWGyvfmHx1Y4/kCVjGQCDlxlHklUTlJuKInwgEZsyNQjLOqeBG56w2DkHSKgJ6fiHWdGw3SLwxUow0dkzZrN3FmWn8f6ticHjdUnYDihmXObIqclkeLMuNUT3zucuVMkhmH5AspcGAxsLRQOEUVxXbJPvbsQ1kg2u54S/C+B0FRbFkyOo74rRbimmRYbxoK8NSdfaR4pYi5cZRdGZGMOIi+C0pfK9I4ZZiTVMN4oqqXIQx5kY5hdn4Wo9RhKUt5GXLj5u9V0H5zvRcgnbbcE0+amWq3LzMkkGtDDEXUmO5pQJQ9piHzZOYZVz2X+3Fxu5i3zRaE4XQom3Hh6T4O4iWG+44IHY9dswtFUD7wLqSuUJxhHZ37BhJ5f+dgjlbivFuFTOoLMRDKSw3HrLcVHgEiMqOwRsZoUihe60NtxTzYwHn3lIGiXTP6WrodvV/YwIZDxhN77WWN2dKxWvWU3QYCAJ4Pk9WNrZGeyplhXV3SkVCpbDzNoBMq6JeifI05sqdrdlSjJmF5TE3aqVCnoRh8SmTIlC8o1+lPFasVE6tc6NnuVEq7EzVgr/8gK4xyE3jluIdTMq+AccHOuZlyo7K/utL50hp5X8xrW6CJp2VdyOfCk4xNxUU7cwSOZJpRyK7mKs8pVtK1GYsClx11LARsBpQbOlrtKJWWLTcKBpp42vDE1DIQqfTVB1mKTK2b8HMdarQZVQKO2fshd1l6u28F75OvixfRUPPtsoo+3fGpoMw+34MFAkzC0/Q6qV+vqKiDdMRxalpbMx8lIHyerDqBnMRvwiNuWG6pXzVMojtEXPmIsslaznmxouH3FIVCZnCojHhyx616p07sreUwnKjloa/ftr5lriqcBjdUsHJ20Y6/aEw+0pWekmdxuQ6K1iIudH+ZllkrMyWMilb97gFaxjren+MAevdmFs1zLdfYCstxqsfq86rbszMoGDJgsVtuVEqcazjPmx1aWaDDqNLmdnZtShxDjodxEhSx0NuZHclMhQZ1srIlvIXgAQUe3+cOWycOMiQcuMoBhYMReMgKc2fnG6p+Jjy16XZpVYWcyPofBlSgKuJRs4ifgFI4dBIk3+9Fvl7t7AXk8ZNxE7v6PYLMC5P22kKzD8B5U7tStnYz99t1hQZBF0Ggl9Jke/NpiOj3KXpH5TKJ8CpLLK6hZmcSmA8O3l9cSNWvww4uPSMyirFTsRnsQPMvhlrb5O1I7WyLO1sKS5U31xs2XTpWFeZIhAEVxVr+4Xyc+Xl+ZSRQsH+dkIKZVuM8R9lpWTJYJq/IKCScAYAkPbBGBsSOgcpN0FD3jCoLDcAdw8kCCKeHtnKv+u1D+8utbXwTOlQAErFhR1zAxzNvhg/eBpgrbudQXlcYinQD7kJjkITiFvKfIRocH70Sv+fdZq0x//Ft8Jv8c35y7YE3yJ+ggDNC7Btyja13BgcKPv7levaoValJPxnYgedPLRlJMSK+DNVv07qXacjgkW07iW96nw2qTp+TmiPLSndkZCYxJU7r0iNq6b5/57ZvxFzNO3jQO2h2OOqg03VxjLzalAlFV3qVeYsmddyw/7bxdxZWpvnP2Iumve73kAM/pfXulYGujXItnatzU/i7n6NAACjOtRCo9xUNMhNtZeREQyrmPydX96qGrrWy0L9KikAgMODXrNflKx2M4PiA9iXUFtYeHcNCPsifhcC2tVcJW5tWBAEXN6qOi5vVV1x3LtL7WMAgGmAVnli5COJsbiq+H5kIR99XT9YuYUyuQOw3ESKW8qmcvMXslGj/qX+36LLhWazvsDJv/8AXmjNvEZTnmJUaP6+lBYEC6Mn7pTaMn1IHAq50lXhTdurUQ56NfKuMP6XSRk+MpPi8OUdl2LTSxPQ6a9XrMms+Nv6nfsCinm3xmgx83Pl9VqNz6g03TNyS1f1jETMGtgYKCtKgqr9iEtG3dlbUVcnL1EU8PrEi4H7DUTxZ2ag3Cj+litbsuOGQanlVL3reyAhxUgQg3NK3p/chTttee5aCycznSzNg0OboVqGdwf01IRYrJneDds3ngU+tVy8iWzGx54eqWxfGrbrBXxstyyZW8q3ZZEitsr3PciUILstSpiVG7LcOIqsc1BXmKCtH+8rT25WZ0vGU0WDt7Gkk8qN1ZLZDbO1vPUsBybWDh1XlFW3lCzIQ4GoTodAghDN7sWgI+ct08A1YVT3jKbLBoI/X9smIAtpOV3RocXIciN3icivkB/nXJTRrP0LqH3kfJZBboPtwtr2JEhGb2a8FHNXcEU6e2VJjq2BZI/IfNtRi86MB00HJCkaCK5l3s1KNtGS5SKYBTNaP+nEbCl+gru3FDtv3TKtunJ4kdTWPfbLY7ml7Os2xrOl1PnKFWp+N6t+OsMZUYwYC0kV4mLrvv0jVQuKp+J6ZSC/+lK769xo7CZ25TMtxki50RFHBtMtxUpsqtwEYo3lSMKdvdwaybqPILRpTLeU88V4kVlk/AMNs4+ILDeEDl6vlGo2k4WYG76ExpYbOdZXR3WAcLqllMMVk7ytwmGB4Sxbe6md7RcCUW7MFDVB97cVN6s9dCxnPEGvhtn6uxPTsgwv1ztvc28p7YKK5Thr9eFrC/TdUg5ZTQKJheMp3v8fs4SBasvWYS+AGZyyFTE3zD0IGd+DzecgieGNerGs3CxduhTnzp0LhiwVDHXDr7TcODHSVSZkuD8UI4LyAFVjy41BeXoNVIiXMwhk40zzFk7PcqOT2rRzs99I8Swhzw4etzvSkpvHzbUm7XYMPEUYmgYtXeeMW8qaHOZpjb4fewKrB0fh7HQB5R26GG5GiVUX7LiEuD908+ehbYPtETy3fWgwU25Y6WwrlmF2A1oufebMmcjNzcX111+PjRs3BkOmKEZP2xWC/qKVs6W0CALfh2mnGusulsZj1w6oZOfR/5DNLQdmWFIGBNV2CBa2X7C704b6XrTdtlqzsl4QW2FzxiURiFvK9BiPAIzfer9MO4wQxecYKZu6X4LimWtT2Yq5CQALXyBHEuMKFbJYqSAVowgoFhkBxeWOsfJjMlmsbE8T6NIjgWK5xh08eBDLly/HsWPH0KNHDzRq1AiPP/44Dh06FAz5ogwdbVcUlRVIFSzgxK7gzNGSJi/z8niut3BFIBfrYn0qOL+SpTdY1C3Twnob7IXiDODQUtiKbOAjLS7LjU4DaJSHYWdoGP/BY2OxoWyxn6CFDDSmNP60BqgnJNjZgZ0LoxgojstFl3W3eTgQHJIhVHv0BasUZUvI+D5Z26PInpsoWLCbR5vlJiYmBsOGDcOHH36IAwcOYNKkSXj99ddRq1YtDBkyBB9++GHYN8yKNLTr3CgDig2VG96Ic9YifvLTsmPGypRBEVwdjF2sOJvsl2hWSsTMYpEkKEb6Oj5F1jux3f6aKIGafE2mqrPiSkSGG0PgWqY9WENZxmwfC0qIo8G98nw15RiddbIkc+RPzMWcLeWMdU5+hVEN4flmuYsPQ8wNW4xglS233JTtbM8Ielc2BfZkiTrLjZycnBx07doVnTp1giiK2L59O8aNG4e6detiw4YNDokY/Wh2UIakUlocqMh6FgLGMdsxN3rodU5hbBzkKPsFM5nY5/VjbkwsN3rWGo5no8zbwq7gtmM7jOuIJlt5neYOLDU0beie0bNMKl19fCLoXW8H9dXa/ahkT9Kmu0uzK7iT35UNt5T8hItpuXFGueGUhitr9Z73RulYfxsdCwZBs9zI2mrmkhGM70wxs7ciu6UA4PDhw3jqqafQtGlT9OjRAwUFBfj444+xd+9eHDx4EMOHD8e4ceOcljVqMfsgnIjHlWBsufEeD/CTsWxmjJRREH9aq24prvVqGH+b61g67g7WYceerUXFz8TSw+uWsosTObGVQ3tjPoF5x+waZWZt0ChtjL3jIoEIGb9w4YRSGGzLbrDnZgjwyH8EubAoc0sNHjwYNWvWxLJlyzBp0iQcPHgQb775Jvr06QMASE5Oxu23344DBw44Lmy0oh7VekdzDJdDALA2zlT8FTSzdsgnSwUV/T2c2JhabgJ41DyxQoIgGOx/YblA/5/snZZF/d/MER9r40yDJifAmBs7j1pgNoFW3FI2CuXAcBfsMLul5Fe4ghp062DLInAq1gprJGuqtHMiMYsPcjnKjTMZ58sKVnxXNv3c4bbcWJ6IXqVKFXzxxRfo1KmTbprs7Gzs3bs3IMEqFsEdwQIwXPnVJ4GvRNsBxVavszRbKngoxDBRBPSejdVZVOVl603h5QkA50hjmsIC6hgadQCxpjC58swniX2XmflxW3mzLgnkoWqCrp3IR1RZckLjltK9RPa32QaWocFcBvVteiTBWnCshbKcIBTr3JS7pbTttCKg3Wb0SqkkwP4Wn4FjWbl5+eWXTdMIgoDatWvbEqgiotF81Uur2qjIvl1qfXjEOMPsvDMuyoq3XJox+u1bZLilnMCJ0ajV2VI8nZij/Zzs72zpOParz7uUu1EH0xqoJUgDBGYeIgDtpAiRNZNE8U61ORWZ7OCtK5atq5wtSffxyk6wnomjMUEOoXbf6reBJkHyTitzIrt+BC+eWL5xpu8PbcGKIH+bsuw/VYTG9i51BMsq2bRp0/DMM89ojv/rX//C9OnTnZCpwmG2foicLZ3+xZXnNR1ro1FuKm7pVQ8AcLhqb2z1XISlpX11AuECR+/DblxVZ6fcCGnk7I6Cfokr3/HbbkBxIPDkbX8fKVZm5c1BLEo1p5t1vwo7Yxri26wrvAdszCyJjYvHjyk98HOC8S7gaphTyCVJKYKlHPXz1buXptXSNMcU5UvaujarZCIzL0sDDEEdDuvcOzeqY+mJsbisSQ76NK6CrJTywZO8GXC0/rUeA9TS9wjowyuDtcECe9kCB+83uzHQ8Ua2HM6Vopsv692Vb5wZuDBR55Z699138dFHH2mOd+7cGY899hgWLVrkhFwVClbMjfzD8chqT5u+Y7Dpz+/Q6e9XDfNMiY/Bmund/L+lmDgMLX4YADBYp732NZBOB8UlxfJU4ghxS5kgfzYl7ScD39xskjf/svK6a97oXms+9mCNnO1jXF5cfAIa3ved/7f83q0oeW3v+ND7x/3pFmRj529lU1Tm9RaCHhPN6rmq/GnFU7FHqm5dKEBpZQjmIMEkzumFsVolVO7acDTm5vKygR2jXhjmyfMpeaOyVfk5vtkKPyk5wJTNIShInW25RbL81cnbKFYfYU8YD6JsttTx48eRnq6tfGlpaTh27JgjQlU09JplsxTWypD7SH1/qJQqv1vKbnkBzJaKEhTPxpGYoQCegTJYiJmE1bk4UpzVa4P8rtnbLwSrB+Cv5xoJgjbkjiQXr9wtZXw+FHCtcwPlY+PaCJf5nMP97ANDsf1C2b2Y3aXdb9sTbbOl6tWrhzVr1miOr169GhdddJEjQlU0tKND9Y7PTpdn3BHYjbmxLHNENcg+rKywqR7psZJYuS9rz4PLLeVk+6Gup6YzwbQjvmCh//xlf9uZ+cOUO5B7Cfw78+ai3mjX4XWxAslLdgkroDgSZ08KgkMW6xC1Y8EaLIhSueWGOVvKX67sLdqeLRVe5cayW2rGjBmYOnUqjh49il69egEA1q1bh/nz55NLSg/NDIrwfP7hVS/MSg+VdPyzpaxOHTU7b23Gi8BVvpOWG6vvwKmSedwuTrwKnasCykid1LHXwaFYO1OMDYVQ9jc75ia0LY2Ft+X/iyeGLpgDUDOpQzMV3OeCkiH6rDmBCxB1MTcTJkxAUVERHnnkETz00EMAgLy8PCxZsgRjx451XMCKgLaiSIqRmNONl15uAbuldL843abCQubBU/isNFJKtxT/fl3Ow2fdc3IqruXF6xRF2x+lcW2/EKQHzbpnu0UJkIKiiMhnOnp/O5e3nXgeM+XGqWeg3JmaUyDdJMrBgv6SDyYWMscefrgGuNqYG/XQW3ESSiuiFaLOcgMAN998M26++WYcPXoUiYmJSElJcVquCgV7M7JgjsaMzzveAPNsvxBGt5Q1FUs+cpMroHZz13kGjk0Fd/C5WsxLlAcUO6FkGQW36m4/EVi57OutNMrMrgFAgN+ZI/FeXAVZv8LELRUMAm2znPtMIsW9bg9FrWKFL7Dqvu2HF2WWGznZ2dlOyVGh0azsqlrmRvI6hANCYgSKMSQJqIzAGogoaRQE+N8Fn3JhYbaUIj8eqxCn5cahltuqoqDfrdvEwILDboiDRABuqWAgQHX/Do6IbbmlZK+J6RYN+UCGszwOhdHMLRXsWwu2PUcec+NDcUu+qeDy/sTmTUsmC8sGG1vKzcqVK/H2229j//79KC4uVpzbsmWLI4JVbCTVL4e/GEHzh/dXyPWLyFBo7E4F57Ou2BCIC3XG7IJcghCU7Rf40uv+CBnKkWiAGegfspAf79UmMReK+BC+uhAqzAyQTnXQ/PlYf+b2ZQzusw/2mxUYi1Mqzjvq8oyy2VLPPPMMxo8fj5ycHPz000/o0KEDKleujD/++AP9+/cPhowVAPUYVxlz43hpOhXUd9j29guWYzIiwy1lBeWzcWL7A/ZokS9AlmedG/N8uNEIxe9yC/ZsKb0Hpqxidlws2gdopVE2sgUE5paS/SkiiO1FYO8tMrZfMMe7zI1V5d1JF01kwJrMotxqQfD/5T9mOwgtyta5ee655/DCCy/g2WefRVxcHO666y589tlnmDZtGvLz84MhY/RjukZH4B+Mlej2YO9syyZ8jYLi2Viwcsg7bCeCsAWLyl6oVyjW5mT8rJS3E/pRmhO3Xv6M5ffqVKxMcJCcLMKOvCYxN6FuX3hKE6Bc5Tk8bWD4MZ2py+yrbH7bjo68bBRv9YL9+/ejc+fOAIDExEScPn0aADBmzBi8+eabzkpXYWCN6ZwwkcpzlMfc+P6vzNnXkNsuL6izpSIQHgUkmB9wiKeCs/zxhukViptjYugVpjkkqbY7sOeVYjTmFqwRRgpoIN+1fDQtqTpmZ3Ub67mJMgkiYSo471ICEodyY7bqdjiUeCdhuaVYMTeK2ms35ibaLDe5ubk4ceIEAKBWrVrYvNm7hPTevXshOeX7r2ioKkfQ/ap6Jvwg5WtwAfvvEGM35oZnCqS5xUztX+AXim8RPyctN27LV7D/Dh2BVrFy5dSmq9bWVeaWA8UifoKgVLgc7WCt34FcmWBVP+emgvPlyR1xIzfgciRixkpH+YDNzHLDXBrBdmFRptz06tXLv7fU+PHjcdttt+HSSy/FiBEjMGzYMMcFrBiwYm7kowhnRwO+nD0CO148dCbZyGgIrEihUG44rDKmHaqFHtej8jcoG5rgDxw0lhtXHDthGcrJX8F913bWo0mwsOeZwDOzw+R5cAkVSN7BwIa8Hll7FcyYG/7YbI6BgqUM9YnEHc+tIJoaILQxN3bbcSkm0dZ1TmG5V33hhRdw7733AgCmTJmCV155BY0bN8aDDz6IJUuWOC5ghSWYi/iVZbe72iD8nycPz5cOVhwPWUCx8uoArg0ydbrLflg0BViaNmzRKhTihlRUmaybD5qCPa462FT9OmZ6hdXEYQWdUZrpUd+oevE1bVC7chIWX9PGPNeyDOo0aY//i2+FH9L66CfuPlP3em/5NmZB9nsMqFwf6D1HP2OIgNniciHkZPVe2Oq5CEtL+3JZDjfXuN5WOXmVk/HGxI6oVSkJGUmxtvLwof6W5O9m+YQO8oSyv51b4DFSsDNbShl7aM7mBndgv1gdtYc/ZlE6Z7E0Fby0tBSPPvooJkyYgBo1agAARo4ciZEjRwZFuAqDpsZIqkbR4eLKcnS7EjGo+FEAwE2QKzeB8331sWh/0Hjn8kh0S6k7oG9zRqDjuBf8OxErwkq51sUw69R1zNyM56F+L6FWblyCsuFLTs1A3dlbUVcnvfJ2HJDVIA9dVyujig1sURUDW1TlLNL7/kSXC81mfeE9+Nw32oQ1LwZSc8zzs/o1X3yz959WMMNSHMPGe3OLcRha/DAAYDizHsuO3fQ1Ls5tbku0hFgXOtfLwpd39cR3/3oVCGBfZgHKOiSXsXuDC2e9NqZbijnpgWfdNDYXXzMbwGwb0jmLpeFWTEwMnnjiCZSWlgZLngqKyt0QpaFJgp5GFkWxVpq4MM1P+YceWreQAkEIefCiGMg9OqHcGC7ixzwaeJkByh0K/VMQVFY/J8u045aSvSemWyrUAxnO4rh2D1coy9r0wbdQBhe1dVaXKLdQATbcUr1798YXX3wRDFkqLkzLjWwU4XBFMmtbnHGDWa064fxajMrW2Etkf/LIbJJGx8xtaumQgrtzPAsXb8NXhmJmidPCaEszPR5cGdiKl2YWk0yIQL4zxWxKjUvFOewEyCqtm6zzgcdreDMKfMaO8nKePOR1ugL08CpYlhvmasTyTilKH4PlFYr79++PmTNnYvv27Wjbti2Sk5MV54cMGeKYcBUGtiPT/2fo11ywGXMTSDxKhLilzFA23BxxDuYRxbKk1p5HuGNuTAnh+w2WFYt72jfXNHkJQesJIshyI7d+mi5F4JCwxrOlrH9LttvcKFm0UI+ArLNRhmXlZvLkyQCABQsWaM4JggC32+p00gsPQbXOjRMNooODnAsb74IY3j/DvAhVqMt3WVznJrSL+JnH3Nj5jLhH57qbw+rnF0g3Yhzv5eQHbv29yR9FJKxQzKuocCmypgp7+O83mLBqb7T2J5aVG4/H4uiO0GC6SmTA+Qtl/3cYMZCeJIyWGwtnrZvU+UeuChdGiEa8VlAHFJvhtIJuWJae4Uzxt3UZ+K1jfN8sb0drlpukUm6UYoZX6ZbH3LCen2NuKceRd92RJFd4UcYZas9H65OK7uioKMaRpf318g5FbbQajxIl6r/eOjeObLSno+hYzidIiJI1q6uiCwvD3lKOVCneTHQsN4LBL8cI4rdjJ2uP6ccQ2u/eThH6a6qzY+TkKS4IoqS9NsKy5ebBBx80PD9nzhzD84QPhxfuC0ld1BmR6c5yiQz/rvHo3GiGjkUztpOEYQaaaHEaX6BWE2tlMSwEkvId2XkVgcY1qa9X/rSft9otJVhc3dpCQZYvibyV6DndUha/Z7M1Xyoi/u9MEeYQnfdsWbl5//33Fb9LSkqwd+9exMTEoG7duqTccCCoZ0s5HXMTcG5srAbERgoBdDEcuVhwLwWrg3IIq3tLSfLbCXZ8EE8Atr2MOdOZd+gO21/L/xIQtPpip+Oy6lKLFHj2lrrg8T+WSFNgrWNZufnpp580xwoKCnDdddfR9gvcGEw/doDQaNoOxKOEA5NvVul/dsTvYfMy9XUh2H7B6mypUMIaRUecW8qKqmQlEsxmIVxy2AkotlAXI0iJ53EhKi2BrDSRcz+hIlrv2JHhVlpaGh544AHMnh3+VQmjAc3eUg43AL7cnG5XrHf2kTGFy9pUcHnMDcd+QxYyN1uhONxYVW6CtVO1NRlkfwf1mfJ06JJqN+8ASlNZdpVbd4S37pjF3DhnFXE2iNsRIvC7DRR2sxT99+mYLTk/Px/5+flOZVfhCeY3EjkBxYoLgiKG87ADinnSs0/rjAQjsJG0GlAsJ9hWFL0OXbEukb1C+ZLpWW5Ulzv1Vo0sCI4Ohmy8czPDTaTOlpI/Np5dwZl7SzkqUWQgsQYpkd1UcWHZLfXMM88ofkuShH/++QevvfYa+vfv75hg0Y7LoEJ4XegWVqu1SLBGsLprmbj0NrWzIEdskvF5kXPjPIYsyvbK2Bqjv7dUxUfUfY9sJKH8WQZiTXALZeVa3H7BkbfD+45jEtiXG1ivnLQoKFeDdi5fyWNduXGZ6PxuUbbDeSDfkGyn9FJBf9d03u9UnqpQSABwmpHK5Dk71Sbo1KfIwf7eUpGCZcvNwoULFf+eeeYZbNiwAePGjcO///3vYMgYlTSplq5/UtWIV00Pf0UvkBLxRMkIC1cIwICngMr1gMse4kiu84Fc8zaQmQeM+cD4+uZXo6RKc6yIHYZ7BjTST9d5GpDdCH+3vVMmaXnZTboOwc4Yg+utmv8Z97VXqME+H6QOyilKOk+zlP58pcb4xt0U77m72irv/pKx2OOpig+zJtm6Xo1eFdvW/SXda5LiTMZ3Q58HKl0EXP4vTiG0Ter9g5tojnlM37/8fPCCte0oN70a5aBljXRc1zlPcXxzw7uwX6yO5AHy9sBGPR/yL6BSXWDw0/5D3+Rei12e6ni8xHyT5k21bjRNc6jPM/hLqIof2j5hSTSWIvVdLYv1N7MOMOI1a9cEEcnCQDuaArEtW2727t0bDDkqHLEGpht1zE2siyO2I8hcVvQEDqEy7jJIo6n4HSZ5/3Gh8zwa9PX+MyMuCbGTv4ap+pVUCZjyLQ7vPwl8s1FzOjYuHg3v+9a/C7gaybI9VplmW7d/4+y2j1An/y9GSqsur9ASk5KNo1I6sgU+97IgiBhdci8AYJuNNm+Zux+WufthYKz5rsyBNKkte14NfDHRXs6tRnn/6V2tuFw5aJnWqz5e7DOQeZ3HosISNJemDeUmLkbEh1O1Cu3Fo+4FcC9w9PfAZGozxvtPxrmYDFxa/CQA4G6DS3/q+m906mOuAFWr3wa5XX9DDdVx5ViEL6C4w7h5puUpuHWrtfRBhmkVk+0tpXgmUTSLynILm5+fjxMnTmiOnzhxAgUFBY4IdSEgmPh2Q41VjdzpIGin0d3B3EoejiziFz24RMH2yCxc1UEZ3WFDCOej7v1/Gn0jbsnkmzedteMMHnep85mGOrbM3gJHdgvjPBY9yJWb6L4TJZZ71ZEjR+Ktt97SHH/77bcxcqS5xkygbJ0b+SIhgefJ6nytZMvTqQXUyEa4MuTD8lRwZhqd4NOAtq8IPi5B4HCXsAn23ei9C8WTDsMjtVtkKUystQolSa24OWm5CYJyE4F1G4AySFav61PUM0YaZvBXhN4vJ6WyGKnyW4n+4Zxl5ebbb79Fz549Ncd79OiBb7/91hGhiAiFZ5ds/YudlMRSaUYlaz/hYFrUrASRh77BFAOw3IQDZ/oUJ4N++dNacUsJgGJfNyctOXZibqIVRZtg15ob5YoMi1KTyRrResuWW++ioiKUlmq1/ZKSEpw/f94RoSo66hWKI2GkE/16uj5GDZLRDBeRJy4maF9+eN6IlVLNFzxzDqZ9THKgwwpUbs3l7FgFNW6Tpjdkm5IGQ7kJsVvKVj3US2erToe//Q6EUiHe/7e/3ulaSqPnXi0rNx06dMALL7ygOf7888+jbdu2jgh1IaDcoC3wChOSHEz2XeG9NhQ4U5zT+38F8s5D8/wsWRQCD2sKmJCtc6N7tex6C5qhmXIDzeAnOApD8C03kdMZ8iyEqHBXMZ4zU+GJVtNGGf6lGCC7FcV2PvLnFj3DYMuzpR5++GH06dMH27ZtQ+/evQEA69atw/fff49PP/3UcQErJpLSzOxAAxA9VS70WIo90hm5RdOIJRAkb4CHZYK+iF+w+hTH15iS/9BXYMxibpwIiOcigIUbiYqBm+mWiv4exfLQtEuXLti0aRNq1qyJt99+G//9739Rr149/Pzzz7jkkkuCIWOFIxK7yaAHFIc85oa3PIOPOIgzaazH3ISmsYnUJk1/pC37OwwjaK13mU8GcwuZMuNImgpuSshX4uYtTzZY0Xv8ZtZp5rFIbNH5kbulWChXdo6ee7VsuQGAVq1a4fXXX3dalgsGr2kv+A2AlcY+6J1aGBsAK0UrZ0sFU47IbCSsNF6q7td5YSwSfgn4ZTBzSynXW4qsRfzMiax4Qh+CIF911+4zjZz7cQq3izVbSu5ZiE4sv+FPPvkEa9eu1Rxfu3YtVq9ebVmAxYsXIy8vDwkJCejYsSO+++47w/SnTp3ClClTULVqVcTHx6NBgwb45JNPLJcbbiItoJiHaJopYF9UuXIT/vWHQk1Y17kx2rSI5ZaKgO9G8RVLkmqfHn35zAOKVb+D1F4IFWK2lHMDRWVwMmsqeMVrE5iL+IX/0woYy29q5syZcLu1H4QkSZg5c6alvFasWIEZM2Zg7ty52LJlC1q2bIm+ffviyJEjzPTFxcW49NJLsW/fPqxcuRI7d+7Eiy++iOrVq1u9jbCimS0VAQHF1js1q1UnjJYbo7JVHapy3RRnQ1St7ScW+bOlwo2kkjYcurc6NoZXBo/pIn46fzuMFIx1bkK+iJ/8T4O4LZ6lGELuUgs/HlnMjf/5yQOKo/Q5WHZL7dq1C02aaPdKadSoEXbv3m0prwULFmDSpEkYP348AO+Mq1WrVuGVV15hKkqvvPIKTpw4gY0bNyI21vtC8vLyrN5C+JEkx60CzEX8LLljzInWRfwsFR1MOSNsVWoWtmdLBfn1cq2nGGnDTQOhS80sNypLTdCsiEEJKI4Cq7TdgUuUdvRGuEXZVPAKdHuWv5j09HT88ccfmuO7d+9GcnIydz7FxcX48ccf0adPn3JhRBF9+vTBpk2bmNd89NFH6NSpE6ZMmYKcnBw0a9YMjz76KNOS5KOoqAgFBQWKfyFB1NcbNaGiLv0dbwMhxsL+RZYtNzzJo0WhkRE5AXORIocR4ZUxWMpMfEwA0+E5K57VvaWChkE7ZZsgaL1xBu+Ee1kNDguP2Zo5oVKgRc7nVigZL8CnS2x5X13iMt64ORpaIhaWv7DLL78c06dPx549e/zHdu/ejdtvvx1DhgzhzufYsWNwu93IyclRHM/JycGhQ4eY1/zxxx9YuXIl3G43PvnkE8yePRvz58/Hww8/rFvOvHnzkJ6e7v9Xs2ZNbhkDom5voHo7oD17wz75h3O2yyygcn2g32OOijCsdXU0rZaGG7tf5Eh+0TRbyn7J7NROKD1OL3r3fatHA85Dje2YmyC/XwHA2OK78aenCoYXzfYfV6xzY1WExkOAOO2A7NFhzVEnKxlPXNnClqx+eQzO1ctlb9xafq1yvZVgWQyaXH4H9om18FNSF/wl5GJLx0VBKSdQbupeF/WqpOCufg0dyc/28wzBgK1DXiW0rZ1pmOa64jvxp6cKRhffYy3zUSuAzDxgzPv+Q7+ld8NWz0VYWtq3Qk0Gs6y2P/HEE+jXrx8aNWqEGjW8e6r+9ddfuOSSS/Dkk086LqAcj8eDKlWq4IUXXoDL5ULbtm1x8OBBPPnkk5g7dy7zmlmzZmHGjBn+3wUFBaFRcGLigEnrmKfUMTeelKrALT84LkJinAurpvFNz7c6FTxyLBxs7Ha2+vcVedEo7YdOcTzPSN4480tPS3QvXuRImd/VvgEdRrDbq4uyU7D+jh5c+WgCfzldMtUzU7jy9+cUpIDi9ErZSJ+zHXllv9W7ZNvDXNafE9qjReH33DlWSo7D5zO6ByiXDJ3Ko1iwjhlQHNyKXiszEW/f1Mk03QZPa3Qvbm29gIb9vP9keFzxGFrsNRD492KP7OadC8vKTXp6OjZu3IjPPvsM27ZtQ2JiIlq0aIFu3bpZyicrKwsulwuHDx9WHD98+DByc3OZ11StWhWxsbFwucoXwGrcuDEOHTqE4uJixMVp3Tvx8fGIjzeexx96pIiLuajIU8Ej5UNVBhSHURADrGyc6fg6c4aL+Ol1Rs6XFZJsRONF/JSLSarbishTtBWEPKDYehm6gx9T66ptf3fEonxdDFdcpDZWJtjqYQVBwGWXXYY777wTU6dOxSWXXILVq1fjqquu4s4jLi4Obdu2xbp15dYNj8eDdevWoVMntubapUsX7N69Gx6Px3/s999/R9WqVZmKTaQSnVVFZyTDf7VjcnCVxjmDQo0jFimdKc3KmTWRpdz6sLvOTbDhsadZa4OD8fxV791IHpNYF42lJkLry4VGtHb0Rii3V6g4BPTF7N27F7Nnz0atWrUwbNgwFBYWWrp+xowZePHFF7F8+XLs2LEDN998M86ePeufPTV27FjMmjXLn/7mm2/GiRMncOutt+L333/HqlWr8Oijj2LKFOfN8xceVqt1RfoMooHQPG+7A8yoa/Qdk1eVD6/VwsRyY1BCFBChs6Xk05tFHbk49p+yRQQ9BjXMRxHBliZeLLulioqKsHLlSrz88sv4+uuv4Xa78dRTT+H6669HWlqapbxGjBiBo0ePYs6cOTh06BBatWqFNWvW+IOM9+/fr9iZuWbNmli7di1uu+02tGjRAtWrV8ett96Ku+++2+pthJVI3Hws6NsvhLjzs20Z10nsSECxwp9vNb9Q1Rm7AcXBRXdZEsXfkTV7y1AawUS5Ud9wNCmPYXRL8VuXQxxbFnlNvp+KurQPt3Lz448/4uWXX8abb76JevXqYcyYMXjzzTdRo0YN9O3b17Ji42Pq1KmYOnUq89yGDRs0xzp16oTNmzfbKitycL6mS0aruwYDy19BdH81jiikDm+WGgysxNzIiYRG0dK6Tg65eTRl8gb+mk7BNrqZCHjY0QiPVUb+/pgmjYr37EWFclj2dwW4TW7lpmPHjrjllluwefNmNGzozHS8C5XItNxwEAk9GCd2/ciOxNw48ZzC9KytWJQcd0UZKOisziiw4h0KKFb8svBdm6xBpQm5iaJvL2LdUvL3o+OWMpvtFqmDkoCogLcEWFBuevfujZdffhlHjhzBmDFj0Ldv3yj74Agjgj61O6wL+gVetqXno9tJW7D/htoS5yOKVm5VPyJr3sfgyKtcUM4ooVnMTRS3reGcLcVdnk25KmCfF/IJFyGC2za7du1a/PLLL2jYsCFuvvlmVK1aFbfeeiuAaBtVhJ9gPK1QvINojbmJFKJhtpQVuUI6W4qjMCv106lGWlMm71pQZgHFClcBtbGOoNgviZ1EEOXLNTASVcD3YCWgOBK9DnpYamFr1qyJOXPmYO/evXjttddw9OhRxMTE4PLLL8c999yDLVu2BEvOCkbkxdzwBRTLq0v0fOSG7VG4LCQRSwV5r6YXB1+5NBwRW9z2ILqUm1C7pfjKk6xYTi8gKuqjsP2FX3rppXjjjTfw999/45ZbbsHq1avRvn17J2WrsAgR2KFGnkSBEYmTGix1UOFqcaxYbpwW0UaGinVurFzn1CJ+di+0EFAcdX1PiN1SCtXGoDi+RScZwbV6mVQQmPtY6dxmhXRL6ZGZmYlbbrkFP/30E77/nn85bSKyCM5U8Mj4ECJDiuggUi0E7PY3INNNANfq5Sjx9+smSqTW2xWZ78WcyJSb53myp5VH5v0EQvTWLWMctc22adPGyeyiD87dvUvEOOOWz8Yu4VZ2AHcErg8ifPYg3k5Gcil31XWLAW7VYRAoarb9QiHKyxaCsVszB6WuRO60vDsXmxHnsl93eUftmutcNndTVudj9xHEGO/E7GQnKonO3KuTuB2UST4wYw3SiuzunM0g0hQBKzvY68G6I48QnvbHSSI0qjFK6XkvkNUA6MverfnH9vPxl5CLkqEvIS29En5K7oqtiRejcq5yI88mw2Zin1gLm2rfxF10nyZV0LJGOq7rnMeV/oXSgSiSyitw9cxE3NnXeIp/pH3YgbDpomn4U6yJBlfOAQB82+ReHBCqIXvUc9iSfAm2JXZATvXy3dR5zbFNugzRDbrTe35bL/k3/hJycWDQ69icOxq7XXXRvN/1Fu/Iy7OjWtu6zkfG8H/hgFAN37V40DRtk6pp6Fy3Moa1rm6rrLmDm+Ci7GTmTs+/XPoG/pYqAQBeKe3HZaXhrZ97XHXQfNBka8LqlamRq7xJZdaZnvcC2Y2Azuy1vfz5qqI87Xx73zaehQNCNVS9OrgbGhuikvvbJvfhgFANOVcvdLAItgtvunsa9nlyMLVkmvYai/lGGkuva49alZLw+sSOAefFGqTsrTYA/+fJw/OlgwLOP1xEv3oWSaRVBabqu+baDpwIDJzo/936zlXMdOqdenmIj3Hhw6ldudM/WjoaK93d8Gm8d3XnVdO6ISEx2UKJXM2DhfycxjjIsNPYhwA85P/dcfhdAO4CAFS982NNeg/HOGBj7ZvROc665adV75FA75HeH+37WL5ezuCW1QK6vma95sDcHahpnhSiKOCNSRfbLmt8lzoY36UO81zTLgPxQVIrTF+xFQBwre1SlBwQqqHu7K0O5WYMs/Z3v8v7LwR0HDETwMyQlMVLx+F3ArgzJGV94umMD9z26ycLIdQWch16NqqCno2qOJIXS4dzuxIxqNg7SOcfYkcWkfGmiKjA+saZFSdM2ZHtFyJ4JBgRqALtJVn9idRHpwxSlRwUVObChJ1v70JF7qIyWBRS9zXJ6xwrUYRWxABg3lEETnqxCn0xBAAbHW+k9jZlOD1hw83xqZgW40AHFdlPPQoIar1VrW8byCg/wr+vSEX+2Iz6Z7vB6BXxrYh6m4hGOZa/vsOHD2PMmDGoVq0aYmJi4HK5FP+I6IRnZBits6WcgMdyE4qxTvSPp+zBfPp2qlcUjkgFQSCrnw08tt61fFTEaBMvlNdQAeqb5Zib6667Dvv378fs2bNRtWpV+uiimOCvWRDG2VI6f9vFw6P8md0vfSvOEgF6ivHGmYHkS3WFG51VoY2qB9fjvUDWuamAtwTAhnLz9ddf46uvvkKrVq2CIA4RSgRT/7IqfZR+BU7IbXe3bKfluFBx7NmF8h0EtoSyg3lVbPQGMlFopAsLTi3pEGlYdkvVrFkz4KX+iciDS7kx23dFe0UAEgWG04oEn1uqYjYSEUsEPG5N7EaQVj4mxdgAzgA7vm7LeMBXEQO7KaC4jEWLFmHmzJnYt29fEMQhQsmF0hk7cZd8AcWS4v+a83Lzuc22o0K/MVVnIlcc9O7b6mMMZZMd0ArKFfpFhwlHnmnFezEVVW+27JYaMWIEzp07h7p16yIpKQmxscrVH0+cOOGYcEToqGgjEqe/V0mKjBYg+sdT9rCw/U1IUU8Fd0omtTGion2fQcPgBfCtZi1TqJmWG1tSRTTsvaWi/0YtKzeLFi0KghhEOLAacyMnmqw+TnynTq9zUwHajogg3I9R/R4dVG8cyicMhNqloXgJfM/N/orXUfxeLjAsKzfjxo0LhhwE4SjKEXXgDRKPW8oMJ+ImLtSmNVpiTgQ+84Ap8l3LBdBU8EihIr6HihpQbGv7BbfbjQ8++AA7duwAADRt2hRDhgyhdW6iDMnEBGtIhH8QTig0ciQO5SaarFmEMzhdz+Q5Ry0hbhtUSyfqppPbk2yvUBzh7Z4dmGv4VYCAYsvKze7duzFgwAAcPHgQDRt6N7ybN28eatasiVWrVqFu3bqOC0k4g1pDl09vjpQ9U4KBI24pjkzMFvoMZNQnRODOzmYUweLu9gbbLzhFMBVQb8yN824pb8xNNHWq1mR1SwICGxZzlieEb/BdLMYBnrAVb0h01S1+LPdo06ZNQ926dXHgwAFs2bIFW7Zswf79+1GnTh1Mm6bdfZWIHLrUy0KbWhm4pmMtTLqkDhJyG2FbXBv8kNrbcl6R/jk4/b16OAKKW9XMMDxvJyh0U+2bsE+shcZXzAIQXQHFDyfchr2eHEwrnhJuUfyYLrRoNT+jahGIMhvNHU5yFtCgP9BwIJCYqZvs5x6v4KCQg5393gysPL6Z4Cio0g7feRrizdKeBu2XWUCx6hvuyLetZMmwV/CXkIsf28/nSh9KmIOyaK5/ZVi23HzxxRfYvHkzKlWq5D9WuXJlPPbYY+jSpYujwhHOEusS8d5k9TtaHxZZog2eFYoTYpwfGXYa/ziAxx3PNxTsFfPQs3ghAOCZIOQfCQqARgJFrIyD5UTTbClBAK55yzRZix5XAj2uRPUQiAQAEGMwvHguAGA416KlrGdeft3OwR+iYdseXEXXbX4x0HwnanClDjER8B0FA8tfTHx8PE6fPq05fubMGcTFWTRDE1FLNMWXOPHteiiguEIQ/HrLaUYwy0WlJCnqTgXtjOyitMUF99koA8ajSOE0wMoTiybLseW3M2jQINxwww349ttvIUkSJEnC5s2bcdNNN2HIkCHBkJEgwo4T2y9Qp2SCwSJ+kUrwXqlBxhUg2NNJ7LwCnmvMA4orxnuoqLOlLCs3zzzzDOrWrYtOnTohISEBCQkJ6NKlC+rVq4enn346GDIShGWcngruiHJDhJ1gvkWNhSWQvJQVOCJccATfqtnRRkWtWpZjbjIyMvDhhx9i165d+O233wAAjRs3Rr169RwXjohgKuoXoQPPVHAzqIMKP86PtQ0jigPIluoKP9ZddrZ3Ba+AmM3yjFZsrXMDAPXr10f9+vWdlIWoaISxcXB6NWCy3EQekfBGNHVL0c86Ny28Ii/VECjKb51XubG3QnFFfA/R4P61A5dyM2PGDDz00ENITk7GjBkzDNMuWLDAEcGISIfjg4iQ2ABntl9wwnJT8RrG6CM6GnLDDucCsSjwolyDip6NZSroI+NSbn766SeUlJT4/yaISMfp79WK5YZnV3CiYqB8o5JK7yC3VDTDGoxUxLdSUQOKuZSb9evXM/8mLmQ4PogI+WicCSgmqwvBgzMBp6p4YsIAhd2GHpZlKuojs9xiT5gwgbnOzdmzZzFhwgRHhCIqCGF0Szm+QrHDu4ITDEKw/YLTaN9p+W+ORa0JR5A984C/U+O9pSriJ8y8pwgJKQgEy8rN8uXLcf78ec3x8+fP49VXX3VEKCIKiKKPPHIW8SPrT7gJZpMtyP6r/MtOXhVvyjERmVzQbikAKCgo8C/ad/r0aSQkJPjPud1ufPLJJ6hSpUpQhCSilHDOlnK4c4imFZmjFouL+NmpXk6/Re32Cw4XQJjirAvPeOZVRZxZxPyOKoDCw63cZGRkQBAECIKABg0aaM4LgoAHHnjAUeGIKEe0vdJAxMHnluK3CzjpovK4LsxtT2JdIlxhXqTD6DU6ZamriNOPnUQ58HCuPpi/P+frnkeMdTxPM2JdFbN+cfc+69evhyRJ6NWrF959913FxplxcXGoXbs2qlWrFhQhiUiE48OudylQvR1QrXXwxVHh9FY8TrilXDEx+DG1J2JLCtC8bvPAhSqj+tVPYv+yy/FPgzHo6FiukcfyCR0w+4P/Q5Oqafj9yGnccVlDVE6JQ+taGWhSNY0rj+BHEji1QjHwnrsrcnASsZmNHMmTcAABeNd9CarhOJKymjmW7eYGd6Da7jdRZ/g8x/LkpU/jHLSskY7WtTJDXnYw4VZuunfvDgDYu3cvatasCZFGE4QZMXHApHXhlsIR+JQb846t7e0fBCyLmtxa9YE5v6KW4zlHFt0bZOPLu3pqjr+v2ek+dCjdFM46L2eUTAYAvENtrSG8s6X4YmSNA4oB4PaSmwEAHzoYQ3fxNbMBzHYsPyvExYj4cGpX5cEKEFBs2W9Qu3ZtAMC5c+ewf/9+FBcXK863aNHCGcmIyCbCg2PV0RuBwtdtRX+DQAQI7d4dBkI3Q41eafRgWbk5evQoxo8fj9WrVzPPu93ugIUiiEiDtl8gWKiDWanzi1z43o31rRwqJBXg3i0Pv6dPn45Tp07h22+/RWJiItasWYPly5ejfv36+Oijj4IhIxGBRHzVj8CYG+JCw37Fo0X8LKD4wJ37TlmB3PQuogfLlpv//e9/+PDDD9GuXTuIoojatWvj0ksvRVpaGubNm4eBAwcGQ06CsI0TDZI15YbcU5FLMLsnKcj5EwTBi2U19+zZs/71bDIzM3H06FEAQPPmzbFlyxZnpSMilkhffdXp9SjILUWwCJb13uld7QlnuKBdVVGGZeWmYcOG2LlzJwCgZcuW+Pe//42DBw/i+eefR9WqVR0XkCACxYkGiRbxCwFRuP2CEkGplIR5DZ4LBaUiSM88uETP87Xslrr11lvxzz//AADmzp2Lfv364fXXX0dcXByWLVvmtHxEhBLpK3U6v7cUxdwQWkLTmUb2txbpOPmK6E1Ez4DDsnJz7bXX+v9u27Yt/vzzT/z222+oVasWsrKyHBWOIJzAmZgbataCjsXtFyIB7baZAvPvQPMl7EPP8sIk4PXxk5KS0KZNGydkIQjHcLpBI+WGMEOABEmmoEXPGDfKMVlbyMmNIcnrFT0PwLKt/corr8Tjjz+uOf7EE0/g6quvdkQoIvK50GJQJHJLEQyCF1Ac/DIuFOj5XZhYbrG//PJLDBgwQHO8f//++PLLLx0RiiACxelYCDcpNxWCYCvlFNwaDoxdgU6+h2hwlRJeLLfYZ86cQVycdhfi2NhYFBQUOCIUEfnoNhgRskO1001QCVzmiURvGiGI+7JIDj7fC3E38VLR2XsOVmenjN0huGG0S74jPO4psx3YLxR9NVZnpl+hEB9iSexjWblp3rw5VqxYoTn+1ltvoUmTJo4IRUQh17wDZOYBYyNvlepAGqTFpUPwq6c23pN66CfqfjdQpQnQfqL9gjipe/VD+FOsgc31bgs4r6pXP4UDQjV82/geBySLbL5vPQ9/CVURd+W/Hc03xqXcOFPOhdIRRjo+paZ9Xiba52ViZPuaumnrNu+MX+Ja4vv0y0IlXkRyeavqaFotDTd2uwgAsLXr8/hLyMXfg14Ls2T8WA4onj17Nq644grs2bMHvXr1AgCsW7cOb775Jt555x3HBSQiFVXL3eAy778IwamO5cnSkXgSIxEXYzAO6HmP918IyMqthaw5v6C2A3lVrd0QmLsD+k19xaH95ZOByyc7nm+8vF5IgGqPakfKUFtJL7R4NzPMtqrwnY9xiXjnps6GeYkuF5reQ+EViXEurJp2if93qz6jgD6jwiiRdSwrN4MHD8YHH3yARx99FCtXrkRiYiJatGiBzz//HN27dw+GjAQRdopLPeEWoeIThYv4xceUuyslSCql2pm9pQgzjB+Wk7OliOjB1lTwgQMH0h5SRERDgX9EKIiVuaUkiawqkYiTb4T0pOiBpoAQBBEZROMifqp1bZSGG2cW8dMuFBj5Fq2QYjZvPvKrEREEuCw3lSpVwu+//46srCxkZmYaTq07ceKEY8IRhG2oQSNCjCRRQHEk4ugiftSwRA1cys3ChQuRmpoKAFi0aFEw5SGiBWq5CUKBJEmqzTID+EZoET/HoOd3YcKl3Gzbtg1XXXUV4uPjUadOHXTu3BkxMQHv3EAQQYMaNCLUqJ1FVAVDgyCIzL990PYLFyZcMTfPPvsszpw5AwDo2bMnuZ4IxR46BEF4A4qD8VWoXSEUtGwNeloXJlzml7y8PDzzzDO47LLLIEkSNm3ahMzMTGbabt26OSogQdjBqQYtPkZEEU0DJ3iQJJXSH0hAMXXJTuHs9gtEtMBluXnyySfx8ssvo2fPnhAEAcOGDUOPHj00/3r27GlLiMWLFyMvLw8JCQno2LEjvvvuO67r3nrrLQiCgKFDh9oqlwiEC+MzN1y8jyBkaNbluTA+kfBjsp8XGZkvTLha7qFDh+LQoUMoKCiAJEnYuXMnTp48qflnx121YsUKzJgxA3PnzsWWLVvQsmVL9O3bF0eOHDG8bt++fbjjjjtwySWXGKYjLkycGq3JF2kjCCO8bilnlGHaFdw5dLZJsgVthho9WPoSU1JSsH79etSpUwfp6enMf1ZZsGABJk2ahPHjx6NJkyZ4/vnnkZSUhFdeeUX3GrfbjdGjR+OBBx7ARRddZLlMInCi6SMPxMQfT5YbghPN6jNR9I1UZGiF4gsTrpZbvtt369atce7cORQUFDD/WaG4uBg//vgj+vTpUy6QKKJPnz7YtGmT7nUPPvggqlSpguuvv960jKKiooBkJNgIYmRbNJxqztISYy1f46K21BaCqHzWLieH3CGgRIhzTJ8xysZs5+oLDfnghRVsnRjrXFsVXTXywobrK8nMzPS7iTIyMpCZman55ztuhWPHjsHtdiMnJ0dxPCcnB4cOHWJe8/XXX+Pll1/Giy++yFXGvHnzFJalmjUvhG0Cg8fmnJHY5aqHZpeODbcoIeHpka2QVzkJC0e05L6mcdXUIEpUcWl6+W3YK+Zhcw3voOWypjloUSMd47vkhVcwE35o9yT+EqrCPewlyLs/p62b32ZdgZ0xDdG025WO5ltReXZUa9SunIR/XdMm3KIQYYBrttT//vc/VKpUCQCwfv36oApkxOnTpzFmzBi8+OKLyMrK4rpm1qxZmDFjhv93QUEBKTgBcPHN/w63CFw41a80yEnFhjutBco7OVK8kEhNr4TUOdtQp+x3fIwLH03tGlaZeGg36AZg0A0AgP3/p29xtgJLMeo4dakjeVc4FBPUyn8MblkNg1tWc7YoMt1EDVzKjXy3byd3/s7KyoLL5cLhw4cVxw8fPozc3FxN+j179mDfvn0YPHiw/5jH452mGxMTg507d6Ju3bqKa+Lj4xEfH++YzARBEHrQ+k9hgIKvCQaWnbdr1qzB119/7f+9ePFitGrVCtdccw1OnjxpKa+4uDi0bdsW69at8x/zeDxYt24dOnXqpEnfqFEjbN++HVu3bvX/GzJkCHr27ImtW7eSRYbwQ+uEEOFAMcuJ6mCFI5omUlzoWFZu7rzzTn9Q7vbt2zFjxgwMGDAAe/fuVbh/eJkxYwZefPFFLF++HDt27MDNN9+Ms2fPYvz48QCAsWPHYtasWQCAhIQENGvWTPEvIyMDqampaNasGeLi4iyXTxAEEWlQF2oFh/bzIioUljeI2rt3L5o0aQIAePfddzF48GA8+uij2LJlCwYMGGBZgBEjRuDo0aOYM2cODh06hFatWmHNmjX+IOP9+/dDpNkBhEVogEWEB7nphtqt0CAw/iIudCwrN3FxcTh37hwA4PPPP8fYsd5ZM5UqVbI9zXrq1KmYOnUq89yGDRsMr122bJmtMgmCICIVUs4JIjAsKzddu3bFjBkz0KVLF3z33XdYsWIFAOD3339HjRo1HBeQIKIPzXJuxAUCxWSEA3JLEVos203/9a9/ISYmBitXrsSSJUtQvXp1AMDq1avRr18/xwUkiECh/oYIB4EoOhSMzI9De5USFQzLlptatWrh448/1hxfuHChIwIRBEEQBEEEgmXLzZYtW7B9+3b/7w8//BBDhw7FPffcg+LiYkeFIwiCiCoUO1SHUY4LCdpllGBgWbm58cYb8fvvvwMA/vjjD4wcORJJSUl45513cNdddzkuIEEEikQhMERYCKCjpT7aFvTYCB+WlZvff/8drVq1AgC888476NatG9544w0sW7YM7777rtPyEQRBRA2CbPo3xc2ECrLcEFosKzeSJPm3PPj888/9a9vUrFkTx44dc1Y6gnCAkLd3LtrugwCkQAw31EdzIw/cDqVCSe8osrEcUNyuXTs8/PDD6NOnD7744gssWbIEgHdxP/Xu3gQRLhJiXRjQPBfnit2okZkY2sJ7zwb++h5of31oyyXCDvV3FZ8r2lTH36fOo1m19HCLQhhgWblZtGgRRo8ejQ8++AD33nsv6tWrBwBYuXIlOnfu7LiABGGX50a3DU/BadWAW34IT9lEmHFmtVxSkuwS/Ce3YHiroJdBBI5l5aZFixaK2VI+nnzySbhcLkeEIgiCiEaUa66QihIKBN0fxIWMZeVGj4SEBKeyIgiCiE4cUmhopWOCCAzLyo3b7cbChQvx9ttvY//+/Zq1bU6cOOGYcARBEARhDC1RTGixPFvqgQcewIIFCzBixAjk5+djxowZuOKKKyCKIu6///4giEgQBBGNUEcbEgTmn8QFjmXl5vXXX8eLL76I22+/HTExMRg1ahReeuklzJkzB5s3bw6GjARBEFGB4NAKxdRJE0RgWFZuDh06hObNmwMAUlJSkJ+fDwAYNGgQVq1a5ax0BEEQ0QrFzYQG2n6BYGBZualRowb++ecfAEDdunXx6aefAgC+//57xMfT4mUEQVzIOLOgHPXR/MifMz03wodl5WbYsGFYt24dAOCWW27B7NmzUb9+fYwdOxYTJkxwXECCIAiCIAgrWJ4t9dhjj/n/HjFiBGrVqoVNmzahfv36GDx4sKPCEQRBRC0BmBFoXyor0LMitAS8zk2nTp3QqVMnJ2QhCIKIagSROtpQI9AqfgQDLuXmo48+4s5wyJAhtoUhCIIgCCtItCs4wYBLuRk6dChXZoIgwO12ByIPQRBE1CIIouxvCigmiHDBpdx4PJ5gy0EQBEEQBOEIlmdLEQRBEObIrThEEKF1bggG3F/f//73PzRp0gQFBQWac/n5+WjatCm+/PJLR4UjCIKILqhzJYhIgFu5WbRoESZNmoS0tDTNufT0dNx4441YuHCho8IRBEFEE04ZDsgAwY9Ae0sRDLiVm23btqFfv3665y+77DL8+OOPjghFEAQR7QQSUExYgXYFJ7RwKzeHDx9GbGys7vmYmBgcPXrUEaEIgiCiEafibGgRP4IIDO4vsXr16vi///s/3fM///wzqlat6ohQBEEQ0Q6pJ6FBYbchaxlRBrdyM2DAAMyePRuFhYWac+fPn8fcuXMxaNAgR4UjCIKILso7VymMUlxY0GwpQgv39gv33Xcf3nvvPTRo0ABTp05Fw4YNAQC//fYbFi9eDLfbjXvvvTdoghIEQUQ6FFBMEJEBt3KTk5ODjRs34uabb8asWbMgSd5xiSAI6Nu3LxYvXoycnJygCUoQBBFV0D5ToUH2nClWifBhaePM2rVr45NPPsHJkyexe/duSJKE+vXrIzMzM1jyEQRBXHBQF00QgWFrV/DMzEy0b9/eaVkIgiAqDGRFIIjwQeuDEwRBOIXozJorNOuHH4G2XyAYkHJDEERQSIh1hVuEsEL9LEGED1JuCIIICotGtkJe5SQ8PbJVuEUJGeSKCj3yZ05Pn/BhK+aGIAjCjEa5adhwZ89wixFiHHJLBS7IBQS5pQgtZLkhCIJwCNrEkSAiA1JuCIIgHEJyyIpABggLkOGGYEDKDUEQRBCgGU+hgnYFJ7SQckMQBOEQTnWtpBgRRGCQckMQBOEUAlkRQg09ZYIFKTcEQRBE9EIKJcGAlBuCIAjHoM6VICIBUm4IgiCCgERxMyFB8ZhpJ3aiDFJuCIIggoEkhVsCgrhgIeWGIAjCKSj+gyAiAlJuCIIgiOhFKO/GBIG6NMIL1QSCIAjHcN5aQ6E7BGEd2jiTIAgiCAQaUDysdXUcLihE49w0hyQiiAsHUm4IgiAikIUjWoVbhOhApkTSys6ED3JLEQRBOAV1tAQREZByQxAEEQRoJjhBhA9SbgiCIBxCounfIUcAWcsILaTcEARBBAPqZwkibJByQxAEQUQvtHAiwYCUG4IgCKegvjXkyF1R9PgJH6TcEARBOIRg8IsgiNBByg1BEIRjkEITemTPnAKKiTIiQrlZvHgx8vLykJCQgI4dO+K7777TTfviiy/ikksuQWZmJjIzM9GnTx/D9ARBEETFRdD9QVzIhF25WbFiBWbMmIG5c+diy5YtaNmyJfr27YsjR44w02/YsAGjRo3C+vXrsWnTJtSsWROXXXYZDh48GGLJCYIgjKCeliDCRdiVmwULFmDSpEkYP348mjRpgueffx5JSUl45ZVXmOlff/11TJ48Ga1atUKjRo3w0ksvwePxYN26dSGWnCAIQg0pNCFHEVBMz5/wElblpri4GD/++CP69OnjPyaKIvr06YNNmzZx5XHu3DmUlJSgUqVKzPNFRUUoKChQ/CMIgggGikXkKP4jRNBS0ISWsCo3x44dg9vtRk5OjuJ4Tk4ODh06xJXH3XffjWrVqikUJDnz5s1Denq6/1/NmjUDlpsgCIJFRlKs/+/MpLgwSkIQFzZhd0sFwmOPPYa33noL77//PhISEphpZs2ahfz8fP+/AwcOhFhKgiAuFGgrgNAj0GwpgkFMOAvPysqCy+XC4cOHFccPHz6M3Nxcw2ufeuopPPbYY/j888/RokUL3XTx8fGIj493RF6CIAiCICKfsFpu4uLi0LZtW0UwsC84uFOnTrrXPfHEE3jooYewZs0atGvXLhSiEgRBEAQRJYTVcgMAM2bMwLhx49CuXTt06NABixYtwtmzZzF+/HgAwNixY1G9enXMmzcPAPD4449jzpw5eOONN5CXl+ePzUlJSUFKSkrY7oMgCIIIPcoY7qiOtCAcJOzKzYgRI3D06FHMmTMHhw4dQqtWrbBmzRp/kPH+/fshiuUVdsmSJSguLsZVV12lyGfu3Lm4//77Qyk6QRAEQRARSNiVGwCYOnUqpk6dyjy3YcMGxe99+/YFXyCCIAgiCqGAYsIL2fAIgiCICgFNliJ8kHJDEAThFNS7EkREQMoNQRCEU0i0Wm5YIeWSKIOUG4IgCCJqUcyWCp8YRIRByg1BEARBEBUKUm4IgiCICgLZbggvpNwQBEE4BcV8hBXaz4vwQcoNQRCEU1BAMUFEBKTcEARBEBUDstwQZZByQxAE4RTUuRJEREDKDUEQBBG1KD2BpFwSXiJibymCIAiCD7fbjZKSknCLETGUuj0oTKkJACguLkZhYWGYJSICIS4uTrFZtl1IuSEIgnCKIAYUS5KEQ4cO4dSpU0ErIxpxl5bgbJf5AADP8eM4cfJUeAUiAkIURdSpUwdxcXEB5UPKDUEQRBTgU2yqVKmCpKQkmvZcRnFxEeJOlQIASivlISaGurVoxePx4O+//8Y///yDWrVqBVTHqRYQBEE4RZAUDrfb7VdsKleuHJQyohVRAOJivM+9NCGBlJsoJzs7G3///TdKS0sRGxtrOx8KKCYIgohwfDE2SUlJYZaEIIKLzx3ldrsDyoeUG4IgiCiBXFFERcepOk7KDUEQBEEQFQpSbgiCIIig0aNHD0yfPj1s5V933XUYOnRoxMhDhAaKvCIIgiAuGN57772AAlWJ6ICUG4IgCMegmJhwwhOuUalSpeALEuGUlJRUeAWP3FIEQRBOkVQJaDgQaDgASKIp2z5KS0sxdepUpKenIysrC7Nnz4ZUtuDha6+9hnbt2iE1NRW5ubm45pprcOTIEf+1J0+exOjRo5GdnY3ExETUr18fS5cu9Z8/cOAAht94NzIad0N2dhVcfvnl2Ldvn64sardUXl4eHn30UUyYMAGpqamoVasWXnjhBcU1Bw4cwPDhw5GRkYFKlSqZliHn+++/x6WXXoqsrCykp6eje/fu2LJliyLNqVOncOONNyInJwcJCQlo1qwZPv74Y//5b775Bj169EBSUhIyMzPRt29fnDx50i//okWLFPm1atUK999/v/+3IAhYsmQJhgwZguTkZDzyyCNwu924/vrrUadOHSQmJqJhw4Z4+umnNfK/8soraNq0KeLj41G1alVMnToVADBhwgQMGjRIkbakpARVqlTByy+/zPVsggkpNwRBEE4hCMCoN4BRbwZ1E01JknCuuDQs/yQbqzAvX74cMTEx+O677/D0009jwYIFeOmllwB4O8SHHnoI27ZtwwcffIB9+/bhuuuu8187e/Zs/Prrr1i9ejV27NiBJUuWICsry3/toMFDkJqShK/eexlffvkFUlJS0K9fPxQXF3PLN3/+fLRr1w4//fQTJk+ejJtvvhk7d+70l9G3b1+kpqbiq6++wjfffGOpjNOnT2PcuHH4+uuvsXnzZtSvXx8DBgzA6dOnAXgXruvfvz+++eYb/Oc//8Gvv/6Kxx57DC6XCwCwdetW9O7dG02aNMGmTZvw9ddfY/DgwZanSt9///0YNmwYtm/fjgkTJsDj8aBGjRp455138Ouvv2LOnDm455578Pbbb/uvWbJkCaZMmYIbbrgB27dvx0cffYR69eoBACZOnIg1a9bgn3/+8af/+OOPce7cOYwYMcKSbMGA3FIEQRBRxvkSN5rMWRuWsn99sC+S4qx1HTVr1sTChQshCAIaNmyI7du3Y+HChZg0aRImTJjgT3fRRRfhmWeeQfv27XHmzBmkpKRg//79aN26Ndq1awfAa6nwsWLFCng8Hrz01BwIggB3TmMsXboUGRkZ2LBhAy677DIu+QYMGIDJkycDAO6++24sXLgQ69evR8OGDcvLeOkl/zRlK2X06tVL8fuFF15ARkYGvvjiCwwaNAiff/45vvvuO+zYsQMNGjTwPwcfTzzxBNq1a4fnnnvOf6xp06Zc9yXnmmuuwfjx4xXHHnjgAf/fderUwaZNm/D2229j+PDhAICHH34Yt99+O2699VZ/uvbt2wMAOnfujIYNG+K1117DXXfdBcD7XK6++mqkpKRYls9pyHJDEARBBJWLL75YsX5Jp06dsGvXLrjdbvz4448YPHgwatWqhdTUVHTv3h0AsH//fgDAzTffjLfeegutWrXCXXfdhY0bN/rz2bZtG/bs2YPUBl2RUr8L0tO9bqPCwkLs2bOHW74WLVr4/xYEAbm5uX7X2LZt27B7926kpqYiJSUFKSkplso4fPgwJk2ahPr16yM9PR1paWk4c+aM//62bt2KGjVq+BUbNT7LTaD4lEM5ixcvRtu2bZGdnY2UlBS88MILfrmOHDmCv//+27DsiRMn+l2Ehw8fxurVqxXKajghyw1BEESUkRjrwq8P9g1b2U5RWFiIvn37om/fvnj99deRnZ2N/fv3o2/fvn6XT//+/fHnn3/ik08+wWeffYbevXtjypQpeOqpp3DmzBm0adMabyy8DwDgzmoIl8vbrWVnZ3PLoQ6uFQQBHo8HAHDmzBm0bdsWr7/+uuY6njLGjRuH48eP4+mnn0bt2rURHx+PTp06+e8vMTHR8Hqz86IoalyFrF3jk5OTFb/feust3HHHHZg/fz46deqE1NRUPPnkk/j222+5ygWAsWPHYubMmdi0aRM2btyIOnXq4JJLLjG9LhSQckMQBBFlCIJg2TUUTnwdpg9f7Mlvv/2G48eP47HHHkPNmjUBAD/88IPm+uzsbIwbNw7jxo3DJZdcgjvvvBNPPfUU2rRpgxUrVqBKViWkpabAnVPPr9w4hb+MKlWQlpZm+fpvvvkGzz33HAYMGADAG5x87Ngx//kWLVrgr7/+wu+//8603rRo0QLr1q1TuJDkZGdnK+JeCgoKsHfvXi65Onfu7HfHAVBYolJTU5GXl4d169ahZ8+ezDwqV66MoUOHYunSpdi0aZPG7RVOyC1FEARBBJX9+/djxowZ2LlzJ9588008++yzuPXWW1GrVi3ExcXh2WefxR9//IGPPvoIDz30kOLaOXPm4MMPP8Tu3bvxyy+/4OOPP0bjxo0BAKNHj0blypVx+fgZ+OrbLdi7dy82bNiAadOm4a+//nJE9tGjRyMrKwuXX345vvrqK8tl1K9fH6+99hp27NiBb7/9FqNHj1ZYRbp3745u3brhyiuvxGeffYa9e/di9erVWLNmDQBg1qxZ+P777zF58mT8/PPP+O2337BkyRK/gtSrVy+89tpr+Oqrr7B9+3aMGzfOH4xsJtcPP/yAtWvX4vfff8fs2bPx/fffK9Lcf//9mD9/Pp555hns2rULW7ZswbPPPqtIM3HiRCxfvhw7duzAuHHjTMsNFaTcEARBEEFl7NixOH/+PDp06IApU6bg1ltvxQ033IDs7GwsW7YM77zzDpo0aYLHHnsMTz31lOLauLg4zJo1Cy1atEC3bt3gcrnw1ltvAfBuJLru889Qq3ourph4B5o1a47rr78ehYWFtqwsLJKSkvDll1+iVq1auOKKK9C4cWNLZbz88ss4efIk2rRpgzFjxmDatGmoUqWKIs27776L9u3bY9SoUWjSpAnuuusu/2yoBg0a4NNPP8W2bdvQoUMHdOrUCR9++KF/9/NZs2ahe/fuGDRoEAYOHIihQ4eibt26pnLdeOONuOKKKzBixAh07NgRx48fV1hxAK9LbdGiRXjuuefQtGlTDBo0CLt27VKk6dOnD6pWrYq+ffuiWrVqpuWGCkGyM68viikoKEB6ejry8/Mdq/wEQRDBpLCwEHv37kWdOnWQkJAQbnEiiuKiQsQd3wEAcOc0d9wtRRhz5swZVK9eHUuXLsUVV1wRcH5Gdd1K/021gCAIgiAIS3g8Hhw7dgzz589HRkYGhgwZEm6RFJByQxAEQRA2MVrTZfXq1REze8hp9u/fjzp16qBGjRpYtmyZ300WKUSWNARBEAQRRWzdulX3XPXq1UMnSIjJy8uztVp1qCDlhiAIgiBs4tuOgIgsaLYUQRAEQRAVCrLcEARBENGLKxYFUiIkiEgRnFs9mYhuSLkhCIIgopp9Ui4AwPp2kkRFhdxSBEEQBEFUKEi5IQiCIAiiQkHKDUEQBEHIWLZsGTIyMgzT3H///WjVqlVI5CGsQ8oNQRAEQRAVClJuCIIgCIJQUFxcHG4RAoKUG4IgCCJoeDwezJs3D3Xq1EFiYiJatmyJlStXAgA2bNgAQRCwbt06tGvXDklJSejcuTN27tzpv37btm3o2bMnUlNTkZaWhrZt2+KHH37wn//m669x3RX90aFeVeTVroVp06bh7Nmz/vN5eXl4+OGHMXbsWKSkpKB27dr46KOPcPToUVx++eVISUlBixYtFHn6+OCDD1C/fn0kJCSgb9++OHDggOG9vvTSS2jcuDESEhLQqFEjPPfcc9zP6e6770aDBg2QlJSEiy66CLNnz0ZJSYkizX//+1+0b98eCQkJyMrKwrBhw/znioqKcPfdd6NmzZqIj49HvXr18PLLLwNgu9k++OADCILg/+1zs7300kuKTSvXrFmDrl27IiMjA5UrV8agQYOwZ88eRV5//fUXRo0ahUqVKiE5ORnt2rXDt99+i3379kEURc2zXbRoEWrXrg2Px8P9fKxCyg1BEES0IUlA8dnw/LO45P68efPw6quv4vnnn8cvv/yC2267Dddeey2++OILf5p7770X8+fPxw8//ICYmBhMmDDBf2706NGoUaMGvv/+e/z444+YOXMmYmNjAQB79uzB4EED0WfAELzz2dd448238PXXX2Pq1KkKGRYuXIguXbrgp59+wsCBAzFmzBiMHTsW1157LbZs2YK6deti7Nixiu0Ezp07h0ceeQSvvvoqvvnmG5w6dQojR47Uvc/XX38dc+bMwSOPPIIdO3bg0UcfxezZs7F8+XKu55Samoply5bh119/xdNPP40XX3wRCxcu9J9ftWoVhg0bhgEDBuCnn37CunXr0KFDB//5sWPH4s0338QzzzyDHTt24N///rfhvlcsdu/ejXfffRfvvfeef1uJs2fPYsaMGfjhhx+wbt06iKKIYcOG+RWTM2fOoHv37jh48CA++ugjbNu2DXfddRc8Hg/y8vLQp08fLF26VFHO0qVLcd1110EUg6iCSBcY+fn5EgApPz8/3KIQBEFwcf78eenXX3+Vzp8/7z1QdEaS5qaF51/RGW65CwsLpaSkJGnjxo2K49dff700atQoaf369RIA6fPPP/efW7VqlQTAf6+pqanSsmXLmPlff/310vUTJ0nbDpyUth04KZW6PdJXX30liaLov7527drStdde67/mn3/+kQBIs2fP9h/btGmTBED6559/JEmSpKVLl0oApM2bN/vT7NixQwIgffvtt5IkSdLcuXOlli1b+s/XrVtXeuONNxTyPfTQQ1KnTp24n5ecJ598Umrbtq3/d6dOnaTRo0cz0+7cuVMCIH322WfM80uXLpXS09MVx95//31JrgLMnTtXio2NlY4cOWIo19GjRyUA0vbt2yVJkqR///vfUmpqqnT8+HFm+hUrVkiZmZlSYWGhJEmS9OOPP0qCIEh79+5lptfUdRlW+m+y3BAEQRBBYffu3Th37hwuvfRSpKSk+P+9+uqrCtdGixYt/H9XrVoVAHDkyBEAwIwZMzBx4kT06dMHjz32mOK6bdu24bVXl+PihjVwccMaSE9LRd++feHxeLB3715m/jk5OQCA5s2ba475ygSAmJgYtG/f3v+7UaNGyMjIwI4dOzT3efbsWezZswfXX3+94j4ffvhhjQtHjxUrVqBLly7Izc1FSkoK7rvvPuzfv99/fuvWrejduzfz2q1bt8LlcqF79+5cZelRu3ZtZGdnK47t2rULo0aNwkUXXYS0tDTk5eUBgF+2rVu3onXr1qhUqRIzz6FDh8LlcuH9998H4HWR9ezZ059PsKAVigmCIKKN2CTgnr/DVzYnZ86cAeB1qah3yI6Pj/d3/D43EwB/HIjP7XH//ffjmmuuwapVq7B69WrMnTsXb731FoYNG4YzZ85g4qQb0H/EeABA/ZxUuETv9bVq1SoXmZG/UZlW8d3niy++iI4dOyrOuVzmW0Js2rQJo0ePxgMPPIC+ffsiPT0db731FubPn+9Pk5iYqHu90TkAEEVRs4O3Op4HAJKTkzXHBg8ejNq1a+PFF19EtWrV4PF40KxZM3/AsVnZcXFxGDt2LJYuXYorrrgCb7zxBp5++mnDa5yAlBuCIIhoQxCAOG1HFGk0adIE8fHx2L9/P9OqwGvVaNCgARo0aIDbbrsNo0aNwtKlSzFs2DC0adMGO3b8ihvrXAQAqFct3a/cBEppaSl++OEHf1zLzp07cerUKTRu3FiTNicnB9WqVcMff/yB0aNHWy5r48aNqF27Nu69917/sT///FORpkWLFli3bh3Gjx+vub558+bweDz44osv0KdPH8357OxsnD59GmfPnvUrML6YGiOOHz+OnTt34sUXX8Qll1wCAPj66681cr300ks4ceKErvVm4sSJaNasGZ577jmUlpbiiiuuMC07UEi5IQiCIIJCamoq7rjjDtx2223weDzo2rUr8vPz/7+9e4+qqkz/AP49XM4BxAMIcgDjlrDUGQENlEuZTjKhYjMUY8oiBZ1VUwlCthBvyKSjUE3JWI63yS4zGo0rsXKsWSxMi0QuykWykBlRnJZAhchFvHGe3x8t988TpCiHA5y+n7X2Wpz9vnu/736Uw7P2ft/94osvvoBWq4W3t/ctj+/s7ERaWhp+97vfwdfXF//73/9QWlqK2NhYAD/MMAoLC8OG1Wl4LG4B1B061Hz9FfLz8/H666/3qe/W1tZITk7Gpk2bYGVlhaSkJISFhRkM4r3ZCy+8gCVLlsDBwQEzZszAlStXUFZWhgsXLmDp0qW3bMvf3x/19fXIzc3FpEmT8K9//Ut5jHNDZmYmpk+fjtGjR2PevHm4fv06Dhw4gPT0dPj4+CAhIQGLFi3Cpk2bEBQUhLNnz6KpqQmPP/44QkNDYWdnh5UrV2LJkiUoLi7GW2+9ddsYODk5wdnZGdu3b4e7uzvq6+uxfPlygzpxcXHYsGEDYmJikJWVBXd3d5SXl8PDwwPh4eEAgHHjxiEsLAzp6elYtGjRbe/2GMVtR+WYGQ4oJqKh5laDLAc7vV4vOTk5MmbMGLG2tpaRI0dKVFSUHD58WBlQfOHCBaV+eXm5AJC6ujq5cuWKzJs3Tzw9PUWtVouHh4ckJSUZxKG4uFgemPaQDBtmL8OGDZPAwEBZv369Uu7t7S0bN2406BMAycvLUz7X1dUJACkvLxeR/x+A+/7778u9994rGo1GIiMj5ezZs8oxPx5QLCKya9cumTBhgqjVanFycpIHH3xQ9u7d26s4paWlibOzs9jb28vcuXNl48aN3QYBv//++8r5XVxc5LHHHlPKOjs75bnnnhN3d3dRq9Xi5+cnO3fuVMrz8vLEz89PbG1tZfbs2bJ9+/ZuA4p/fD0iIvn5+TJu3DjRaDQSGBgohw4d6ha/M2fOSGxsrGi1WrGzs5OQkBBl4PUNb7zxhgCQkpKSW8bBWAOKVSJ3OK9viGttbYWDgwMuXrwIrVY70N0hIrqty5cvo66uzuD9I0RDybp167Bnzx5UVVXdst6t/q/fyd9vzpYiIiKiftHe3o7q6mq8/vrrSE5ONlm7TG6IiIj60YYNGwymiN+8zZw5c6C716+SkpIQHByMadOmGbycsb/xsRQR0SDHx1JDW3NzM5qbm3sss7W17TZN/ufMWI+lOFuKiIioH40YMeInp0lT/+BjKSIiIjIrTG6IiIaIn9koAvoZMtb/cSY3RESD3I2lAi5dujTAPSHqXzeWdejNshW3wjE3RESDnKWlJRwdHZWFHe3s7JT1kIjMhV6vx7fffgs7OztYWfUtPRkUyc3mzZvx8ssvo6GhAUFBQXjttdd+8hXXALBnzx5kZGTgzJkz8Pf3x4svvohZs2aZsMdERKbl5uYGwHDlaiJzY2FhAS8vrz4n7wOe3Lz33ntYunQptm7ditDQUOTk5CAqKgo1NTVwdXXtVv/IkSOIi4tDVlYWZs+ejd27dyMmJgbHjx/H+PHjB+AKiIj6n0qlgru7O1xdXXtc0ZnIHKjValhY9H3EzIC/5yY0NBSTJk1SFjnT6/Xw9PREcnJytwW6AGDu3Lno6OjA/v37lX1hYWGYMGECtm7detv2+J4bIiKioWfILL9w9epVHDt2zGCJdgsLC0RGRqKoqKjHY4qKirot6R4VFfWT9a9cuYLW1laDjYiIiMzXgCY33333Hbq6uqDT6Qz263Q6NDQ09HhMQ0PDHdXPysqCg4ODsnl6ehqn80RERDQomf1U8BUrVuDixYvKdu7cuYHuEhEREfWjAR1Q7OLiAktLSzQ2Nhrsb2xsVGYG/Jibm9sd1ddoNNBoNMrnG0OM+HiKiIho6Ljxd7s3Q4UHNLlRq9UIDg5GQUEBYmJiAPwwoLigoABJSUk9HhMeHo6CggKkpqYq+/Lz8xEeHt6rNtva2gCAj6eIiIiGoLa2Njg4ONyyzoBPBV+6dCkSEhIQEhKCyZMnIycnBx0dHVi4cCEAYMGCBRg1ahSysrIAACkpKZg6dSpeeeUVREdHIzc3F2VlZdi+fXuv2vPw8MC5c+cwfPhwo78Eq7W1FZ6enjh37hxnYvUjxtk0GGfTYaxNg3E2jf6Ks4igra0NHh4et6074MnN3Llz8e2332LNmjVoaGjAhAkT8MknnyiDhuvr6w3mvEdERGD37t1YvXo1Vq5cCX9/f+zbt6/X77ixsLDAPffc0y/XcoNWq+UvjgkwzqbBOJsOY20ajLNp9Eecb3fH5oYBf8+NOeE7dEyDcTYNxtl0GGvTYJxNYzDE2exnSxEREdHPC5MbI9JoNMjMzDSYnUXGxzibBuNsOoy1aTDOpjEY4szHUkRERGRWeOeGiIiIzAqTGyIiIjIrTG6IiIjIrDC5ISIiIrPC5MZINm/eDB8fH9jY2CA0NBQlJSUD3aUhJSsrC5MmTcLw4cPh6uqKmJgY1NTUGNS5fPkyFi9eDGdnZ9jb2yM2NrbbOmP19fWIjo6GnZ0dXF1dkZaWhuvXr5vyUoaU7OxsqFQqg+VMGGfj+Oabb/DEE0/A2dkZtra2CAgIQFlZmVIuIlizZg3c3d1ha2uLyMhI1NbWGpyjubkZ8fHx0Gq1cHR0xO9//3u0t7eb+lIGta6uLmRkZMDX1xe2trYYPXo01q1bZ7D+EGN95z777DM88sgj8PDwgEqlwr59+wzKjRXTqqoqTJkyBTY2NvD09MRLL71knAsQ6rPc3FxRq9Wyc+dO+fLLL+XJJ58UR0dHaWxsHOiuDRlRUVHy5ptvSnV1tVRUVMisWbPEy8tL2tvblTpPP/20eHp6SkFBgZSVlUlYWJhEREQo5devX5fx48dLZGSklJeXy4EDB8TFxUVWrFgxEJc06JWUlIiPj48EBgZKSkqKsp9x7rvm5mbx9vaWxMREKS4ultOnT8u///1v+c9//qPUyc7OFgcHB9m3b59UVlbKb37zG/H19ZXOzk6lzowZMyQoKEiOHj0qn3/+ufj5+UlcXNxAXNKgtX79enF2dpb9+/dLXV2d7NmzR+zt7eUvf/mLUoexvnMHDhyQVatWyd69ewWA5OXlGZQbI6YXL14UnU4n8fHxUl1dLe+++67Y2trKtm3b+tx/JjdGMHnyZFm8eLHyuaurSzw8PCQrK2sAezW0NTU1CQA5fPiwiIi0tLSItbW17NmzR6nz1VdfCQApKioSkR9+GS0sLKShoUGps2XLFtFqtXLlyhXTXsAg19bWJv7+/pKfny9Tp05VkhvG2TjS09PlgQce+MlyvV4vbm5u8vLLLyv7WlpaRKPRyLvvvisiIidPnhQAUlpaqtT5+OOPRaVSyTfffNN/nR9ioqOjZdGiRQb7HnvsMYmPjxcRxtoYfpzcGCumf/3rX8XJycngeyM9PV3GjBnT5z7zsVQfXb16FceOHUNkZKSyz8LCApGRkSgqKhrAng1tFy9eBACMGDECAHDs2DFcu3bNIM5jx46Fl5eXEueioiIEBAQo65IBQFRUFFpbW/Hll1+asPeD3+LFixEdHW0QT4BxNpYPP/wQISEhmDNnDlxdXTFx4kTs2LFDKa+rq0NDQ4NBnB0cHBAaGmoQZ0dHR4SEhCh1IiMjYWFhgeLiYtNdzCAXERGBgoICnDp1CgBQWVmJwsJCzJw5EwBj3R+MFdOioiI8+OCDUKvVSp2oqCjU1NTgwoULferjgC+cOdR999136OrqMviiBwCdToevv/56gHo1tOn1eqSmpuL+++9XFkRtaGiAWq2Go6OjQV2dToeGhgalTk//DjfK6Ae5ubk4fvw4SktLu5UxzsZx+vRpbNmyBUuXLsXKlStRWlqKJUuWQK1WIyEhQYlTT3G8Oc6urq4G5VZWVhgxYgTjfJPly5ejtbUVY8eOhaWlJbq6urB+/XrEx8cDAGPdD4wV04aGBvj6+nY7x40yJyenu+4jkxsadBYvXozq6moUFhYOdFfMzrlz55CSkoL8/HzY2NgMdHfMll6vR0hICDZs2AAAmDhxIqqrq7F161YkJCQMcO/Myz//+U/s2rULu3fvxi9/+UtUVFQgNTUVHh4ejPXPGB9L9ZGLiwssLS27zSZpbGyEm5vbAPVq6EpKSsL+/fvx6aef4p577lH2u7m54erVq2hpaTGof3Oc3dzcevx3uFFGPzx2ampqwn333QcrKytYWVnh8OHD2LRpE6ysrKDT6RhnI3B3d8cvfvELg33jxo1DfX09gP+P062+N9zc3NDU1GRQfv36dTQ3NzPON0lLS8Py5csxb948BAQEYP78+XjuueeQlZUFgLHuD8aKaX9+lzC56SO1Wo3g4GAUFBQo+/R6PQoKChAeHj6APRtaRARJSUnIy8vDwYMHu92qDA4OhrW1tUGca2pqUF9fr8Q5PDwcJ06cMPiFys/Ph1ar7faH5udq+vTpOHHiBCoqKpQtJCQE8fHxys+Mc9/df//93V5lcOrUKXh7ewMAfH194ebmZhDn1tZWFBcXG8S5paUFx44dU+ocPHgQer0eoaGhJriKoeHSpUuwsDD8U2ZpaQm9Xg+Ase4PxoppeHg4PvvsM1y7dk2pk5+fjzFjxvTpkRQATgU3htzcXNFoNPLWW2/JyZMn5amnnhJHR0eD2SR0a88884w4ODjIoUOH5Pz588p26dIlpc7TTz8tXl5ecvDgQSkrK5Pw8HAJDw9Xym9MUX744YeloqJCPvnkExk5ciSnKN/GzbOlRBhnYygpKRErKytZv3691NbWyq5du8TOzk7+8Y9/KHWys7PF0dFRPvjgA6mqqpLf/va3PU6lnThxohQXF0thYaH4+/v/rKcn9yQhIUFGjRqlTAXfu3evuLi4yLJly5Q6jPWda2trk/LycikvLxcA8uqrr0p5ebmcPXtWRIwT05aWFtHpdDJ//nyprq6W3NxcsbOz41TwweS1114TLy8vUavVMnnyZDl69OhAd2lIAdDj9uabbyp1Ojs75dlnnxUnJyexs7OTRx99VM6fP29wnjNnzsjMmTPF1tZWXFxc5Pnnn5dr166Z+GqGlh8nN4yzcXz00Ucyfvx40Wg0MnbsWNm+fbtBuV6vl4yMDNHpdKLRaGT69OlSU1NjUOf777+XuLg4sbe3F61WKwsXLpS2tjZTXsag19raKikpKeLl5SU2NjZy7733yqpVqwymFzPWd+7TTz/t8Ts5ISFBRIwX08rKSnnggQdEo9HIqFGjJDs72yj9V4nc9BpHIiIioiGOY26IiIjIrDC5ISIiIrPC5IaIiIjMCpMbIiIiMitMboiIiMisMLkhIiIis8LkhoiIiMwKkxsiots4dOgQVCpVtzW3iGhwYnJDRL2SmJgIlUoFlUoFa2tr+Pr6YtmyZbh8+XK/tz1t2jSoVCrk5uYa7M/JyYGPj0+/t09EQwuTGyLqtRkzZuD8+fM4ffo0Nm7ciG3btiEzM9MkbdvY2GD16tUGi+wNdVevXh3oLhCZJSY3RNRrGo0Gbm5u8PT0RExMDCIjI5Gfn6+U+/j4ICcnx+CYCRMm4I9//KPyWaVS4W9/+xseffRR2NnZwd/fHx9++OFt246Li0NLSwt27Njxk3USExMRExNjsC81NRXTpk1TPk+bNg3JyclITU2Fk5MTdDodduzYgY6ODixcuBDDhw+Hn58fPv74427n/+KLLxAYGAgbGxuEhYWhurraoLywsBBTpkyBra0tPD09sWTJEnR0dBjEZ926dViwYAG0Wi2eeuqp2143Ed05JjdEdFeqq6tx5MgRqNXqOz72hRdewOOPP46qqirMmjUL8fHxaG5uvuUxWq0Wq1atwtq1aw0Shrvx9ttvw8XFBSUlJUhOTsYzzzyDOXPmICIiAsePH8fDDz+M+fPn49KlSwbHpaWl4ZVXXkFpaSlGjhyJRx55RLmT9N///hczZsxAbGwsqqqq8N5776GwsBBJSUkG5/jzn/+MoKAglJeXIyMjo0/XQUQ9Y3JDRL22f/9+2Nvbw8bGBgEBAWhqakJaWtodnycxMRFxcXHw8/PDhg0b0N7ejpKSktse9+yzz8LGxgavvvrq3XRfERQUhNWrV8Pf3x8rVqyAjY0NXFxc8OSTT8Lf3x9r1qzB999/j6qqKoPjMjMz8etf/xoBAQF4++230djYiLy8PABAVlYW4uPjkZqaCn9/f0RERGDTpk145513DMYlPfTQQ3j++ecxevRojB49uk/XQUQ9sxroDhDR0PGrX/0KW7ZsQUdHBzZu3AgrKyvExsbe8XkCAwOVn4cNGwatVoumpqbbHqfRaLB27Vrlbsvdurl9S0tLODs7IyAgQNmn0+kAoFufwsPDlZ9HjBiBMWPG4KuvvgIAVFZWoqqqCrt27VLqiAj0ej3q6uowbtw4AEBISMhd95uIeod3boio14YNGwY/Pz8EBQVh586dKC4uxhtvvKGUW1hYQEQMjulpALC1tbXBZ5VKBb1e36s+PPHEE/D29saf/vSnbmV9af/mfSqVCgB63ScAaG9vxx/+8AdUVFQoW2VlJWpraw3u0AwbNqzX5ySiu8PkhojuioWFBVauXInVq1ejs7MTADBy5EicP39eqdPa2oq6ujqjt5uVlYUtW7bgzJkzBmU/bh8AKioqjNb20aNHlZ8vXLiAU6dOKXdk7rvvPpw8eRJ+fn7dtrsZl0REd4/JDRHdtTlz5sDS0hKbN28G8MN4kr///e/4/PPPceLECSQkJMDS0tLo7UZHRyM0NBTbtm0z2P/QQw+hrKwM77zzDmpra5GZmdltRlNfrF27FgUFBaiurkZiYiJcXFyU2Vnp6ek4cuQIkpKSUFFRgdraWnzwwQfdBhQTUf9jckNEd83KygpJSUl46aWX0NHRgRUrVmDq1KmYPXs2oqOjERMT02+DZl988cVuLxCMiopCRkYGli1bhkmTJqGtrQ0LFiwwWpvZ2dlISUlBcHAwGhoa8NFHHyl3ZQIDA3H48GGcOnUKU6ZMwcSJE7FmzRp4eHgYrX0i6h2V/PgBNREREdEQxjs3REREZFaY3BAREZFZYXJDREREZoXJDREREZkVJjdERERkVpjcEBERkVlhckNERERmhckNERERmRUmN0RERGRWmNwQERGRWWFyQ0RERGaFyQ0RERGZlf8Dej243e3PGpoAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "\n",
        "with open('iris_baseline_experiment_3_noise_shift.csv', newline='') as f:\n",
        "    reader = csv.reader(f)\n",
        "    baseline = list(reader)\n",
        "    baseline = [float(x) for x in baseline[0]]\n",
        "\n",
        "with open('iris_ensemble_experiment_3_noise_shift.csv', newline='') as f:\n",
        "    reader = csv.reader(f)\n",
        "    ensemble = list(reader)\n",
        "    ensemble = [float(x) for x in ensemble[0]]"
      ],
      "metadata": {
        "id": "bXYDw2cHtLtH"
      },
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "print(np.mean(ensemble))\n",
        "print(np.mean(baseline))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RzIATHuzEqVh",
        "outputId": "ac70634b-99ec-4c16-98e2-22093f3c5325"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.972559997677803\n",
            "0.966879997253418\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "bins = np.linspace(0.4, 1.0, 10)\n",
        "\n",
        "plt.hist([baseline, ensemble], bins=bins, label=[\"baseline\", \"ensemble\"])\n",
        "# plt.hist(baseline, label=\"baseline\", alpha=1.0)\n",
        "# plt.hist(ensemble, label=\"ensemble\", alpha=0.85)\n",
        "plt.legend(loc=\"upper left\")\n",
        "plt.title(\"Ensemble vs. Baseline on Iris\")\n",
        "plt.ylabel(\"Count\")\n",
        "plt.xlabel(\"Classification Accuracy\")\n",
        "plt.savefig('Experiment1_comparison_hist.png', dpi=1200)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "fzaUjTIwDTUR",
        "outputId": "b2647d57-ba5f-479a-cdb5-44b61fafa64a"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy import stats\n",
        "import numpy as np\n",
        "\n",
        "print(baseline)\n",
        "print(ensemble)\n",
        "\n",
        "t_check = stats.ttest_ind(ensemble, baseline)\n",
        "t_check\n",
        "alpha=0.05\n",
        "\n",
        "print(np.mean(baseline))\n",
        "print(np.mean(ensemble))\n",
        "\n",
        "print(t_check)\n",
        "print(t_check[1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZPKg4sics4tY",
        "outputId": "8c804312-7952-453f-8467-bf75a495be6e"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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1.0, 1.0, 0.9599999785423279, 1.0, 1.0, 1.0, 0.9599999785423279, 1.0, 1.0, 1.0, 0.9200000166893005, 0.8799999952316284, 0.9599999785423279, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9599999785423279, 0.9599999785423279, 1.0, 0.9599999785423279, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8799999952316284, 1.0, 1.0, 1.0, 1.0, 0.9599999785423279, 0.9200000166893005, 1.0, 0.9599999785423279, 0.7200000286102295, 0.9599999785423279, 1.0, 0.9200000166893005, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9200000166893005, 0.9599999785423279, 1.0, 1.0, 1.0, 1.0, 0.9599999785423279]\n",
            "0.966879997253418\n",
            "0.972559997677803\n",
            "Ttest_indResult(statistic=2.1436050007270486, pvalue=0.03218494837303117)\n",
            "0.03218494837303117\n"
          ]
        }
      ]
    }
  ]
}