MNIST_DIGIT_GENERATION.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MNIST_DIGIT_GENERATION.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XWbtIJzkIoQy"
      },
      "source": [
        "##Importing required datasets"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iNOYj0DqGSVG"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import keras \n",
        "from keras.datasets import mnist\n",
        "import numpy as np"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HSj9nWgxJD7g"
      },
      "source": [
        "##Viewing an image in the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "p2_MUok2Gw4i",
        "outputId": "986b3320-878c-441d-dbd6-4653ce5a951c"
      },
      "source": [
        "(X_train, _), (_, _) = mnist.load_data()\n",
        "plt.imshow(X_train[0],cmap='gray')\n",
        "plt.show()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz\n",
            "11493376/11490434 [==============================] - 0s 0us/step\n",
            "11501568/11490434 [==============================] - 0s 0us/step\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J9mTQWq1KCFf"
      },
      "source": [
        "##Viewing the 1st 9 images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "HlbsFw4AKAQG",
        "outputId": "479071e7-af79-4197-8ccb-d6e7b6d85bc6"
      },
      "source": [
        "for i in range(9):\n",
        "  plt.subplot(3,3,i+1)\n",
        "  plt.axis('off')\n",
        "  plt.imshow(X_train[i],cmap='gray')\n",
        "plt.show()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JX-sORm_M9Gr"
      },
      "source": [
        "##Creating our discriminator function"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4_QJjvB3P49N"
      },
      "source": [
        "from keras.models import Sequential\n",
        "from keras.optimizers import Adam\n",
        "from keras.layers import Dense\n",
        "from keras.layers import Conv2D\n",
        "from keras.layers import Flatten\n",
        "from keras.layers import Dropout\n",
        "from keras.layers import LeakyReLU"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OqJNBfkOJu1S"
      },
      "source": [
        "def discriminator(input_shape=(28,28,1)):\n",
        "  model = Sequential()\n",
        "  model.add(Conv2D(64, (3,3), strides=(2, 2), padding='same',input_shape=input_shape))\n",
        "  model.add(LeakyReLU(alpha=0.2))\n",
        "  model.add(Dropout(0.4))\n",
        "  model.add(Conv2D(64, (3,3), strides=(2, 2), padding='same'))\n",
        "  model.add(LeakyReLU(alpha=0.2))\n",
        "  model.add(Dropout(0.4))\n",
        "  model.add(Flatten())\n",
        "  model.add(Dense(1, activation='sigmoid'))\n",
        "  opt = Adam(lr=0.0001, beta_1=0.5)\n",
        "  model.compile(loss='binary_crossentropy', optimizer=opt, metrics=['accuracy'])\n",
        "  return model"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8zXHUgiWPl1W",
        "outputId": "b4b0f2f1-c82f-4737-9eab-e055480dd994"
      },
      "source": [
        "model=discriminator()\n",
        "model.summary()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d (Conv2D)              (None, 14, 14, 64)        640       \n",
            "_________________________________________________________________\n",
            "leaky_re_lu (LeakyReLU)      (None, 14, 14, 64)        0         \n",
            "_________________________________________________________________\n",
            "dropout (Dropout)            (None, 14, 14, 64)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_1 (Conv2D)            (None, 7, 7, 64)          36928     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_1 (LeakyReLU)    (None, 7, 7, 64)          0         \n",
            "_________________________________________________________________\n",
            "dropout_1 (Dropout)          (None, 7, 7, 64)          0         \n",
            "_________________________________________________________________\n",
            "flatten (Flatten)            (None, 3136)              0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 1)                 3137      \n",
            "=================================================================\n",
            "Total params: 40,705\n",
            "Trainable params: 40,705\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:375: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
            "  \"The `lr` argument is deprecated, use `learning_rate` instead.\")\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C4MfHEpxmt-k"
      },
      "source": [
        "##Function for loading real samples"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iHq5xlEcmq-z"
      },
      "source": [
        "def real_samples():\n",
        "  (X_train, _), (_, _) = mnist.load_data()\n",
        "  X = np.expand_dims(X_train, axis=-1)\n",
        "  X = X.astype('float32')\n",
        "  X = X / 255.0\n",
        "  return X"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g5jWthgfnAOk"
      },
      "source": [
        "def generate_real_samples(dataset, n_samples):\n",
        "\tix = np.random.randint(0, dataset.shape[0], n_samples)\n",
        "\tX = dataset[ix]\n",
        "\ty = np.ones((n_samples, 1))\n",
        "\treturn X, y"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IrwKTi6ynIe-"
      },
      "source": [
        "def generate_fake_samples(n_samples):\n",
        "\tX = np.random.rand(28 * 28 * n_samples)\n",
        "\tX = X.reshape((n_samples, 28, 28, 1))\n",
        "\ty = np.zeros((n_samples, 1))\n",
        "\treturn X, y"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "59BwiwnHBKxm"
      },
      "source": [
        "def train_discriminator(model, dataset, n_iter=100, n_batch=256):\n",
        "\thalf_batch = int(n_batch / 2)\n",
        "\tfor i in range(n_iter):\n",
        "\t\tX_real, y_real = generate_real_samples(dataset, half_batch)\n",
        "\t\t_, real_acc = model.train_on_batch(X_real, y_real)\n",
        "\t\tX_fake, y_fake = generate_fake_samples(half_batch)\n",
        "\t\t_, fake_acc = model.train_on_batch(X_fake, y_fake)\n",
        "\t\tprint('>%d real=%.0f%% fake=%.0f%%' % (i+1, real_acc*100, fake_acc*100))"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CvDF8y_B-lG7",
        "outputId": "72eeae4f-e418-423b-c035-bb3a6cdd2476"
      },
      "source": [
        "model = discriminator()\n",
        "dataset = real_samples()\n",
        "train_discriminator(model, dataset)"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:375: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
            "  \"The `lr` argument is deprecated, use `learning_rate` instead.\")\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            ">1 real=27% fake=52%\n",
            ">2 real=28% fake=58%\n",
            ">3 real=38% fake=68%\n",
            ">4 real=41% fake=71%\n",
            ">5 real=36% fake=76%\n",
            ">6 real=32% fake=84%\n",
            ">7 real=42% fake=88%\n",
            ">8 real=34% fake=88%\n",
            ">9 real=36% fake=97%\n",
            ">10 real=42% fake=97%\n",
            ">11 real=40% fake=100%\n",
            ">12 real=45% fake=100%\n",
            ">13 real=36% fake=98%\n",
            ">14 real=34% fake=99%\n",
            ">15 real=38% fake=99%\n",
            ">16 real=34% fake=100%\n",
            ">17 real=41% fake=100%\n",
            ">18 real=35% fake=100%\n",
            ">19 real=33% fake=100%\n",
            ">20 real=48% fake=100%\n",
            ">21 real=40% fake=100%\n",
            ">22 real=42% fake=100%\n",
            ">23 real=38% fake=100%\n",
            ">24 real=44% fake=100%\n",
            ">25 real=45% fake=100%\n",
            ">26 real=45% fake=100%\n",
            ">27 real=47% fake=100%\n",
            ">28 real=47% fake=100%\n",
            ">29 real=50% fake=100%\n",
            ">30 real=56% fake=100%\n",
            ">31 real=50% fake=100%\n",
            ">32 real=57% fake=100%\n",
            ">33 real=59% fake=100%\n",
            ">34 real=60% fake=100%\n",
            ">35 real=56% fake=100%\n",
            ">36 real=62% fake=100%\n",
            ">37 real=66% fake=100%\n",
            ">38 real=84% fake=100%\n",
            ">39 real=75% fake=100%\n",
            ">40 real=74% fake=100%\n",
            ">41 real=82% fake=100%\n",
            ">42 real=77% fake=100%\n",
            ">43 real=82% fake=100%\n",
            ">44 real=89% fake=100%\n",
            ">45 real=90% fake=100%\n",
            ">46 real=88% fake=100%\n",
            ">47 real=91% fake=100%\n",
            ">48 real=88% fake=100%\n",
            ">49 real=91% fake=100%\n",
            ">50 real=98% fake=100%\n",
            ">51 real=95% fake=100%\n",
            ">52 real=96% fake=100%\n",
            ">53 real=96% fake=100%\n",
            ">54 real=95% fake=100%\n",
            ">55 real=98% fake=100%\n",
            ">56 real=98% fake=100%\n",
            ">57 real=98% fake=100%\n",
            ">58 real=98% fake=100%\n",
            ">59 real=98% fake=100%\n",
            ">60 real=99% fake=100%\n",
            ">61 real=100% fake=100%\n",
            ">62 real=100% fake=100%\n",
            ">63 real=100% fake=100%\n",
            ">64 real=100% fake=100%\n",
            ">65 real=100% fake=100%\n",
            ">66 real=100% fake=100%\n",
            ">67 real=100% fake=100%\n",
            ">68 real=99% fake=100%\n",
            ">69 real=99% fake=100%\n",
            ">70 real=100% fake=100%\n",
            ">71 real=100% fake=100%\n",
            ">72 real=100% fake=100%\n",
            ">73 real=100% fake=100%\n",
            ">74 real=100% fake=100%\n",
            ">75 real=100% fake=100%\n",
            ">76 real=100% fake=100%\n",
            ">77 real=100% fake=100%\n",
            ">78 real=100% fake=100%\n",
            ">79 real=100% fake=100%\n",
            ">80 real=100% fake=100%\n",
            ">81 real=100% fake=100%\n",
            ">82 real=100% fake=100%\n",
            ">83 real=100% fake=100%\n",
            ">84 real=100% fake=100%\n",
            ">85 real=100% fake=100%\n",
            ">86 real=100% fake=100%\n",
            ">87 real=100% fake=100%\n",
            ">88 real=100% fake=100%\n",
            ">89 real=100% fake=100%\n",
            ">90 real=100% fake=100%\n",
            ">91 real=100% fake=100%\n",
            ">92 real=100% fake=100%\n",
            ">93 real=100% fake=100%\n",
            ">94 real=100% fake=100%\n",
            ">95 real=100% fake=100%\n",
            ">96 real=100% fake=100%\n",
            ">97 real=100% fake=100%\n",
            ">98 real=100% fake=100%\n",
            ">99 real=100% fake=100%\n",
            ">100 real=100% fake=100%\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NDNhp3maF6Xn"
      },
      "source": [
        "##Defining the generator model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T170mGN1EVQd"
      },
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "from keras.layers import Reshape\n",
        "from keras.layers import Conv2D\n",
        "from keras.layers import Conv2DTranspose\n",
        "from keras.layers import LeakyReLU\n",
        "def generator(latent_dim):\n",
        "\tmodel = Sequential()\n",
        "\tn_nodes = 128 * 7 * 7\n",
        "\tmodel.add(Dense(n_nodes, input_dim=latent_dim))\n",
        "\tmodel.add(LeakyReLU(alpha=0.2))\n",
        "\tmodel.add(Reshape((7, 7, 128)))\n",
        "\tmodel.add(Conv2DTranspose(128, (4,4), strides=(2,2), padding='same'))\n",
        "\tmodel.add(LeakyReLU(alpha=0.2))\n",
        "\tmodel.add(Conv2DTranspose(128, (4,4), strides=(2,2), padding='same'))\n",
        "\tmodel.add(LeakyReLU(alpha=0.2))\n",
        "\tmodel.add(Conv2D(1, (7,7), activation='sigmoid', padding='same'))\n",
        "\treturn model"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cMsZixtrLuP7",
        "outputId": "f9feff15-b0fb-4046-993f-ebc0437943d5"
      },
      "source": [
        "latent_dim = 100\n",
        "model = generator(latent_dim)\n",
        "model.summary()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_2 (Dense)              (None, 6272)              633472    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_4 (LeakyReLU)    (None, 6272)              0         \n",
            "_________________________________________________________________\n",
            "reshape (Reshape)            (None, 7, 7, 128)         0         \n",
            "_________________________________________________________________\n",
            "conv2d_transpose (Conv2DTran (None, 14, 14, 128)       262272    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_5 (LeakyReLU)    (None, 14, 14, 128)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_transpose_1 (Conv2DTr (None, 28, 28, 128)       262272    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_6 (LeakyReLU)    (None, 28, 28, 128)       0         \n",
            "_________________________________________________________________\n",
            "conv2d_4 (Conv2D)            (None, 28, 28, 1)         6273      \n",
            "=================================================================\n",
            "Total params: 1,164,289\n",
            "Trainable params: 1,164,289\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ewgavhM6L2BR"
      },
      "source": [
        "def generate_latent_points(latent_dim, n_samples):\n",
        "\tx_input = np.random.randn(latent_dim * n_samples)\n",
        "\tx_input = x_input.reshape(n_samples, latent_dim)\n",
        "\treturn x_input"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GykLVJKNMRj3"
      },
      "source": [
        "def generate_fake_samples(g_model, latent_dim, n_samples):\n",
        "\tx_input = generate_latent_points(latent_dim, n_samples)\n",
        "\tX = g_model.predict(x_input)\n",
        "\ty = np.zeros((n_samples, 1))\n",
        "\treturn X, y"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "UoDDeTEIMgFq",
        "outputId": "2b98d860-8f7d-4a0c-d88d-f74962b289e2"
      },
      "source": [
        "latent_dim = 100\n",
        "model = generator(latent_dim)\n",
        "n_samples = 9\n",
        "X, _ = generate_fake_samples(model, latent_dim, n_samples)\n",
        "for i in range(n_samples):\n",
        "\tplt.subplot(3,3, 1 + i)\n",
        "\tplt.axis('off')\n",
        "\tplt.imshow(X[i, :, :, 0], cmap='gray_r')\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fmCEwkBvM1-r"
      },
      "source": [
        "##Training the generator"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VUHACiFCMlOF"
      },
      "source": [
        "def define_gan(g_model, d_model):\n",
        "\td_model.trainable = False\n",
        "\tmodel = Sequential()\n",
        "\tmodel.add(g_model)\n",
        "\tmodel.add(d_model)\n",
        "\topt = Adam(lr=0.0001, beta_1=0.5)\n",
        "\tmodel.compile(loss='binary_crossentropy', optimizer=opt)\n",
        "\treturn model"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NxCRXHM-M6xN",
        "outputId": "a8a750fc-061b-4d90-b73f-7ddc482a4994"
      },
      "source": [
        "latent_dim = 100\n",
        "d_model = discriminator()\n",
        "g_model = generator(latent_dim)\n",
        "gan_model = define_gan(g_model, d_model)\n",
        "gan_model.summary()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_6\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "sequential_5 (Sequential)    (None, 28, 28, 1)         1164289   \n",
            "_________________________________________________________________\n",
            "sequential_4 (Sequential)    (None, 1)                 40705     \n",
            "=================================================================\n",
            "Total params: 1,204,994\n",
            "Trainable params: 1,164,289\n",
            "Non-trainable params: 40,705\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:375: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
            "  \"The `lr` argument is deprecated, use `learning_rate` instead.\")\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MqGqeaVkNHqs"
      },
      "source": [
        "##Training the GAN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bHrwOfVMNA8k"
      },
      "source": [
        "def train_gan(gan_model, latent_dim, n_epochs=100, n_batch=256):\n",
        "\tfor i in range(n_epochs):\n",
        "\t\tx_gan = generate_latent_points(latent_dim, n_batch)\n",
        "\t\ty_gan = ones((n_batch, 1))\n",
        "\t\tgan_model.train_on_batch(x_gan, y_gan)"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VNVmfH8CNJVh"
      },
      "source": [
        "def train(g_model, d_model, gan_model, dataset, latent_dim, n_epochs=100, n_batch=256):\n",
        "\tbat_per_epo = int(dataset.shape[0] / n_batch)\n",
        "\thalf_batch = int(n_batch / 2)\n",
        "\tfor i in range(n_epochs):\n",
        "\t\tfor j in range(bat_per_epo):\n",
        "\t\t\tX_real, y_real = generate_real_samples(dataset, half_batch)\n",
        "\t\t\tX_fake, y_fake = generate_fake_samples(g_model, latent_dim, half_batch)\n",
        "\t\t\tX, y = vstack((X_real, X_fake)), vstack((y_real, y_fake))\n",
        "\t\t\td_loss, _ = d_model.train_on_batch(X, y)\n",
        "\t\t\tX_gan = generate_latent_points(latent_dim, n_batch)\n",
        "\t\t\ty_gan = np.ones((n_batch, 1))\n",
        "\t\t\tg_loss = gan_model.train_on_batch(X_gan, y_gan)\n",
        "\t\t\tprint('>%d, %d/%d, d=%.3f, g=%.3f' % (i+1, j+1, bat_per_epo, d_loss, g_loss))"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5_fUfwNPNSeT"
      },
      "source": [
        "def summarize_performance(epoch, g_model, d_model, dataset, latent_dim, n_samples=100):\n",
        "\tX_real, y_real = generate_real_samples(dataset, n_samples)\n",
        "\t_, acc_real = d_model.evaluate(X_real, y_real, verbose=0)\n",
        "\tx_fake, y_fake = generate_fake_samples(g_model, latent_dim, n_samples)\n",
        "\t_, acc_fake = d_model.evaluate(x_fake, y_fake, verbose=0)\n",
        "\tprint('>Accuracy real: %.0f%%, fake: %.0f%%' % (acc_real*100, acc_fake*100))\n",
        "\tfilename = 'generator_model_%03d.h5' % (epoch + 1)\n",
        "\tg_model.save(filename)"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RQCzFEX5NWQm"
      },
      "source": [
        "from numpy import vstack\n",
        "def train(g_model, d_model, gan_model, dataset, latent_dim, n_epochs=100, n_batch=256):\n",
        "\tbat_per_epo = int(dataset.shape[0] / n_batch)\n",
        "\thalf_batch = int(n_batch / 2)\n",
        "\tfor i in range(n_epochs):\n",
        "\t\tfor j in range(bat_per_epo):\n",
        "\t\t\tX_real, y_real = generate_real_samples(dataset, half_batch)\n",
        "\t\t\tX_fake, y_fake = generate_fake_samples(g_model, latent_dim, half_batch)\n",
        "\t\t\tX, y = vstack((X_real, X_fake)), vstack((y_real, y_fake))\n",
        "\t\t\td_loss, _ = d_model.train_on_batch(X, y)\n",
        "\t\t\tX_gan = generate_latent_points(latent_dim, n_batch)\n",
        "\t\t\ty_gan = np.ones((n_batch, 1))\n",
        "\t\t\tg_loss = gan_model.train_on_batch(X_gan, y_gan)\n",
        "\t\t\tprint('>%d, %d/%d, d=%.3f, g=%.3f' % (i+1, j+1, bat_per_epo, d_loss, g_loss))\n",
        "\t\tif (i+1) % 10 == 0:\n",
        "\t\t\tsummarize_performance(i, g_model, d_model, dataset, latent_dim)"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pQEentlINZTp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7bdc0294-28cb-41cd-b4e8-26a07b9d1b4b"
      },
      "source": [
        "latent_dim = 100\n",
        "d_model = discriminator()\n",
        "g_model = generator(latent_dim)\n",
        "gan_model = define_gan(g_model, d_model)\n",
        "dataset = real_samples()\n",
        "train(g_model, d_model, gan_model, dataset, latent_dim)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/optimizer_v2/optimizer_v2.py:375: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
            "  \"The `lr` argument is deprecated, use `learning_rate` instead.\")\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            ">79, 155/234, d=0.695, g=0.701\n",
            ">79, 156/234, d=0.693, g=0.712\n",
            ">79, 157/234, d=0.691, g=0.720\n",
            ">79, 158/234, d=0.679, g=0.716\n",
            ">79, 159/234, d=0.686, g=0.703\n",
            ">79, 160/234, d=0.686, g=0.717\n",
            ">79, 161/234, d=0.692, g=0.713\n",
            ">79, 162/234, d=0.691, g=0.710\n",
            ">79, 163/234, d=0.700, g=0.705\n",
            ">79, 164/234, d=0.694, g=0.693\n",
            ">79, 165/234, d=0.685, g=0.688\n",
            ">79, 166/234, d=0.685, g=0.696\n",
            ">79, 167/234, d=0.697, g=0.708\n",
            ">79, 168/234, d=0.683, g=0.702\n",
            ">79, 169/234, d=0.690, g=0.702\n",
            ">79, 170/234, d=0.689, g=0.702\n",
            ">79, 171/234, d=0.686, g=0.708\n",
            ">79, 172/234, d=0.692, g=0.712\n",
            ">79, 173/234, d=0.686, g=0.711\n",
            ">79, 174/234, d=0.689, g=0.714\n",
            ">79, 175/234, d=0.694, g=0.709\n",
            ">79, 176/234, d=0.692, g=0.716\n",
            ">79, 177/234, d=0.687, g=0.701\n",
            ">79, 178/234, d=0.682, g=0.707\n",
            ">79, 179/234, d=0.691, g=0.722\n",
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            ">79, 181/234, d=0.688, g=0.691\n",
            ">79, 182/234, d=0.677, g=0.695\n",
            ">79, 183/234, d=0.687, g=0.715\n",
            ">79, 184/234, d=0.694, g=0.725\n",
            ">79, 185/234, d=0.701, g=0.717\n",
            ">79, 186/234, d=0.683, g=0.708\n",
            ">79, 187/234, d=0.684, g=0.701\n",
            ">79, 188/234, d=0.690, g=0.693\n",
            ">79, 189/234, d=0.690, g=0.709\n",
            ">79, 190/234, d=0.693, g=0.707\n",
            ">79, 191/234, d=0.689, g=0.709\n",
            ">79, 192/234, d=0.687, g=0.719\n",
            ">79, 193/234, d=0.691, g=0.717\n",
            ">79, 194/234, d=0.688, g=0.724\n",
            ">79, 195/234, d=0.686, g=0.708\n",
            ">79, 196/234, d=0.697, g=0.707\n",
            ">79, 197/234, d=0.684, g=0.720\n",
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            ">79, 199/234, d=0.688, g=0.695\n",
            ">79, 200/234, d=0.687, g=0.702\n",
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            ">79, 203/234, d=0.683, g=0.705\n",
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            ">79, 205/234, d=0.700, g=0.730\n",
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            ">79, 207/234, d=0.681, g=0.707\n",
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            ">80, 1/234, d=0.684, g=0.706\n",
            ">80, 2/234, d=0.686, g=0.727\n",
            ">80, 3/234, d=0.683, g=0.721\n",
            ">80, 4/234, d=0.689, g=0.712\n",
            ">80, 5/234, d=0.685, g=0.704\n",
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            ">80, 12/234, d=0.689, g=0.716\n",
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            ">80, 50/234, d=0.691, g=0.718\n",
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            ">80, 190/234, d=0.690, g=0.721\n",
            ">80, 191/234, d=0.687, g=0.711\n",
            ">80, 192/234, d=0.687, g=0.718\n",
            ">80, 193/234, d=0.687, g=0.714\n",
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            ">80, 201/234, d=0.678, g=0.718\n",
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            ">80, 211/234, d=0.686, g=0.703\n",
            ">80, 212/234, d=0.692, g=0.699\n",
            ">80, 213/234, d=0.690, g=0.686\n",
            ">80, 214/234, d=0.700, g=0.692\n",
            ">80, 215/234, d=0.700, g=0.695\n",
            ">80, 216/234, d=0.688, g=0.702\n",
            ">80, 217/234, d=0.679, g=0.694\n",
            ">80, 218/234, d=0.691, g=0.717\n",
            ">80, 219/234, d=0.687, g=0.707\n",
            ">80, 220/234, d=0.683, g=0.715\n",
            ">80, 221/234, d=0.694, g=0.709\n",
            ">80, 222/234, d=0.682, g=0.711\n",
            ">80, 223/234, d=0.689, g=0.710\n",
            ">80, 224/234, d=0.695, g=0.714\n",
            ">80, 225/234, d=0.685, g=0.710\n",
            ">80, 226/234, d=0.697, g=0.705\n",
            ">80, 227/234, d=0.680, g=0.699\n",
            ">80, 228/234, d=0.689, g=0.701\n",
            ">80, 229/234, d=0.690, g=0.716\n",
            ">80, 230/234, d=0.696, g=0.708\n",
            ">80, 231/234, d=0.688, g=0.714\n",
            ">80, 232/234, d=0.681, g=0.707\n",
            ">80, 233/234, d=0.689, g=0.701\n",
            ">80, 234/234, d=0.688, g=0.698\n",
            ">Accuracy real: 44%, fake: 95%\n",
            "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
            ">81, 1/234, d=0.682, g=0.702\n",
            ">81, 2/234, d=0.681, g=0.703\n",
            ">81, 3/234, d=0.685, g=0.702\n",
            ">81, 4/234, d=0.681, g=0.701\n",
            ">81, 5/234, d=0.682, g=0.692\n",
            ">81, 6/234, d=0.691, g=0.705\n",
            ">81, 7/234, d=0.688, g=0.700\n",
            ">81, 8/234, d=0.682, g=0.715\n",
            ">81, 9/234, d=0.685, g=0.716\n",
            ">81, 10/234, d=0.699, g=0.729\n",
            ">81, 11/234, d=0.692, g=0.713\n",
            ">81, 12/234, d=0.687, g=0.710\n",
            ">81, 13/234, d=0.689, g=0.708\n",
            ">81, 14/234, d=0.684, g=0.694\n",
            ">81, 15/234, d=0.688, g=0.707\n",
            ">81, 16/234, d=0.689, g=0.715\n",
            ">81, 17/234, d=0.690, g=0.709\n",
            ">81, 18/234, d=0.686, g=0.707\n",
            ">81, 19/234, d=0.677, g=0.692\n",
            ">81, 20/234, d=0.682, g=0.689\n",
            ">81, 21/234, d=0.685, g=0.685\n",
            ">81, 22/234, d=0.697, g=0.688\n",
            ">81, 23/234, d=0.687, g=0.697\n",
            ">81, 24/234, d=0.684, g=0.704\n",
            ">81, 25/234, d=0.686, g=0.723\n",
            ">81, 26/234, d=0.681, g=0.711\n",
            ">81, 27/234, d=0.695, g=0.713\n",
            ">81, 28/234, d=0.685, g=0.701\n",
            ">81, 29/234, d=0.690, g=0.687\n",
            ">81, 30/234, d=0.691, g=0.691\n",
            ">81, 31/234, d=0.693, g=0.699\n",
            ">81, 32/234, d=0.685, g=0.694\n",
            ">81, 33/234, d=0.693, g=0.717\n",
            ">81, 34/234, d=0.685, g=0.726\n",
            ">81, 35/234, d=0.696, g=0.709\n",
            ">81, 36/234, d=0.682, g=0.702\n",
            ">81, 37/234, d=0.682, g=0.684\n",
            ">81, 38/234, d=0.689, g=0.690\n",
            ">81, 39/234, d=0.697, g=0.696\n",
            ">81, 40/234, d=0.695, g=0.710\n",
            ">81, 41/234, d=0.685, g=0.717\n",
            ">81, 42/234, d=0.687, g=0.722\n",
            ">81, 43/234, d=0.694, g=0.722\n",
            ">81, 44/234, d=0.689, g=0.731\n",
            ">81, 45/234, d=0.686, g=0.716\n",
            ">81, 46/234, d=0.684, g=0.689\n",
            ">81, 47/234, d=0.690, g=0.695\n",
            ">81, 48/234, d=0.687, g=0.680\n",
            ">81, 49/234, d=0.692, g=0.684\n",
            ">81, 50/234, d=0.688, g=0.694\n",
            ">81, 51/234, d=0.690, g=0.712\n",
            ">81, 52/234, d=0.687, g=0.716\n",
            ">81, 53/234, d=0.685, g=0.717\n",
            ">81, 54/234, d=0.689, g=0.705\n",
            ">81, 55/234, d=0.689, g=0.685\n",
            ">81, 56/234, d=0.693, g=0.689\n",
            ">81, 57/234, d=0.687, g=0.722\n",
            ">81, 58/234, d=0.690, g=0.744\n",
            ">81, 59/234, d=0.687, g=0.738\n",
            ">81, 60/234, d=0.691, g=0.729\n",
            ">81, 61/234, d=0.684, g=0.711\n",
            ">81, 62/234, d=0.689, g=0.695\n",
            ">81, 63/234, d=0.686, g=0.679\n",
            ">81, 64/234, d=0.696, g=0.692\n",
            ">81, 65/234, d=0.687, g=0.708\n",
            ">81, 66/234, d=0.689, g=0.729\n",
            ">81, 67/234, d=0.691, g=0.709\n",
            ">81, 68/234, d=0.687, g=0.702\n",
            ">81, 69/234, d=0.695, g=0.704\n",
            ">81, 70/234, d=0.688, g=0.695\n",
            ">81, 71/234, d=0.686, g=0.693\n",
            ">81, 72/234, d=0.691, g=0.708\n",
            ">81, 73/234, d=0.684, g=0.715\n",
            ">81, 74/234, d=0.688, g=0.706\n",
            ">81, 75/234, d=0.694, g=0.715\n",
            ">81, 76/234, d=0.695, g=0.722\n",
            ">81, 77/234, d=0.694, g=0.698\n",
            ">81, 78/234, d=0.691, g=0.699\n",
            ">81, 79/234, d=0.693, g=0.688\n",
            ">81, 80/234, d=0.692, g=0.697\n",
            ">81, 81/234, d=0.689, g=0.697\n",
            ">81, 82/234, d=0.685, g=0.701\n",
            ">81, 83/234, d=0.699, g=0.703\n",
            ">81, 84/234, d=0.691, g=0.714\n",
            ">81, 85/234, d=0.682, g=0.716\n",
            ">81, 86/234, d=0.685, g=0.729\n",
            ">81, 87/234, d=0.689, g=0.706\n",
            ">81, 88/234, d=0.687, g=0.708\n",
            ">81, 89/234, d=0.688, g=0.704\n",
            ">81, 90/234, d=0.683, g=0.712\n",
            ">81, 91/234, d=0.686, g=0.705\n",
            ">81, 92/234, d=0.694, g=0.709\n",
            ">81, 93/234, d=0.691, g=0.705\n",
            ">81, 94/234, d=0.690, g=0.697\n",
            ">81, 95/234, d=0.693, g=0.691\n",
            ">81, 96/234, d=0.686, g=0.701\n",
            ">81, 97/234, d=0.690, g=0.719\n",
            ">81, 98/234, d=0.674, g=0.715\n",
            ">81, 99/234, d=0.686, g=0.706\n",
            ">81, 100/234, d=0.691, g=0.701\n",
            ">81, 101/234, d=0.687, g=0.692\n",
            ">81, 102/234, d=0.698, g=0.690\n",
            ">81, 103/234, d=0.695, g=0.695\n",
            ">81, 104/234, d=0.681, g=0.710\n",
            ">81, 105/234, d=0.690, g=0.705\n",
            ">81, 106/234, d=0.683, g=0.705\n",
            ">81, 107/234, d=0.679, g=0.725\n",
            ">81, 108/234, d=0.696, g=0.713\n",
            ">81, 109/234, d=0.695, g=0.714\n",
            ">81, 110/234, d=0.688, g=0.697\n",
            ">81, 111/234, d=0.682, g=0.686\n",
            ">81, 112/234, d=0.692, g=0.687\n",
            ">81, 113/234, d=0.690, g=0.695\n",
            ">81, 114/234, d=0.688, g=0.698\n",
            ">81, 115/234, d=0.699, g=0.702\n",
            ">81, 116/234, d=0.694, g=0.713\n",
            ">81, 117/234, d=0.688, g=0.708\n",
            ">81, 118/234, d=0.685, g=0.708\n",
            ">81, 119/234, d=0.692, g=0.699\n",
            ">81, 120/234, d=0.683, g=0.703\n",
            ">81, 121/234, d=0.690, g=0.694\n",
            ">81, 122/234, d=0.686, g=0.702\n",
            ">81, 123/234, d=0.691, g=0.701\n",
            ">81, 124/234, d=0.691, g=0.722\n",
            ">81, 125/234, d=0.680, g=0.717\n",
            ">81, 126/234, d=0.685, g=0.715\n",
            ">81, 127/234, d=0.690, g=0.712\n",
            ">81, 128/234, d=0.685, g=0.690\n",
            ">81, 129/234, d=0.692, g=0.686\n",
            ">81, 130/234, d=0.682, g=0.710\n",
            ">81, 131/234, d=0.680, g=0.719\n",
            ">81, 132/234, d=0.690, g=0.714\n",
            ">81, 133/234, d=0.683, g=0.708\n",
            ">81, 134/234, d=0.688, g=0.705\n",
            ">81, 135/234, d=0.692, g=0.693\n",
            ">81, 136/234, d=0.686, g=0.696\n",
            ">81, 137/234, d=0.689, g=0.699\n",
            ">81, 138/234, d=0.694, g=0.709\n",
            ">81, 139/234, d=0.690, g=0.711\n",
            ">81, 140/234, d=0.690, g=0.702\n",
            ">81, 141/234, d=0.694, g=0.709\n",
            ">81, 142/234, d=0.696, g=0.707\n",
            ">81, 143/234, d=0.684, g=0.704\n",
            ">81, 144/234, d=0.689, g=0.705\n",
            ">81, 145/234, d=0.691, g=0.719\n",
            ">81, 146/234, d=0.680, g=0.718\n",
            ">81, 147/234, d=0.689, g=0.710\n",
            ">81, 148/234, d=0.687, g=0.707\n",
            ">81, 149/234, d=0.691, g=0.705\n",
            ">81, 150/234, d=0.682, g=0.682\n",
            ">81, 151/234, d=0.698, g=0.685\n",
            ">81, 152/234, d=0.685, g=0.705\n",
            ">81, 153/234, d=0.692, g=0.720\n",
            ">81, 154/234, d=0.697, g=0.721\n",
            ">81, 155/234, d=0.687, g=0.710\n",
            ">81, 156/234, d=0.693, g=0.706\n",
            ">81, 157/234, d=0.690, g=0.689\n",
            ">81, 158/234, d=0.686, g=0.686\n",
            ">81, 159/234, d=0.685, g=0.701\n",
            ">81, 160/234, d=0.691, g=0.717\n",
            ">81, 161/234, d=0.680, g=0.723\n",
            ">81, 162/234, d=0.686, g=0.712\n",
            ">81, 163/234, d=0.690, g=0.682\n",
            ">81, 164/234, d=0.683, g=0.690\n",
            ">81, 165/234, d=0.691, g=0.700\n",
            ">81, 166/234, d=0.685, g=0.701\n",
            ">81, 167/234, d=0.682, g=0.703\n",
            ">81, 168/234, d=0.691, g=0.702\n",
            ">81, 169/234, d=0.690, g=0.713\n",
            ">81, 170/234, d=0.690, g=0.715\n",
            ">81, 171/234, d=0.683, g=0.730\n",
            ">81, 172/234, d=0.683, g=0.721\n",
            ">81, 173/234, d=0.681, g=0.707\n",
            ">81, 174/234, d=0.681, g=0.694\n",
            ">81, 175/234, d=0.694, g=0.700\n",
            ">81, 176/234, d=0.687, g=0.707\n",
            ">81, 177/234, d=0.684, g=0.704\n",
            ">81, 178/234, d=0.694, g=0.714\n",
            ">81, 179/234, d=0.690, g=0.705\n",
            ">81, 180/234, d=0.687, g=0.715\n",
            ">81, 181/234, d=0.692, g=0.706\n",
            ">81, 182/234, d=0.690, g=0.717\n",
            ">81, 183/234, d=0.684, g=0.711\n",
            ">81, 184/234, d=0.688, g=0.704\n",
            ">81, 185/234, d=0.684, g=0.695\n",
            ">81, 186/234, d=0.691, g=0.695\n",
            ">81, 187/234, d=0.679, g=0.695\n",
            ">81, 188/234, d=0.689, g=0.700\n",
            ">81, 189/234, d=0.688, g=0.706\n",
            ">81, 190/234, d=0.677, g=0.709\n",
            ">81, 191/234, d=0.683, g=0.704\n",
            ">81, 192/234, d=0.692, g=0.714\n",
            ">81, 193/234, d=0.686, g=0.696\n",
            ">81, 194/234, d=0.691, g=0.706\n",
            ">81, 195/234, d=0.685, g=0.706\n",
            ">81, 196/234, d=0.693, g=0.721\n",
            ">81, 197/234, d=0.694, g=0.710\n",
            ">81, 198/234, d=0.677, g=0.696\n",
            ">81, 199/234, d=0.694, g=0.692\n",
            ">81, 200/234, d=0.689, g=0.694\n",
            ">81, 201/234, d=0.692, g=0.707\n",
            ">81, 202/234, d=0.687, g=0.706\n",
            ">81, 203/234, d=0.684, g=0.713\n",
            ">81, 204/234, d=0.686, g=0.717\n",
            ">81, 205/234, d=0.694, g=0.724\n",
            ">81, 206/234, d=0.698, g=0.707\n",
            ">81, 207/234, d=0.688, g=0.709\n",
            ">81, 208/234, d=0.693, g=0.701\n",
            ">81, 209/234, d=0.695, g=0.703\n",
            ">81, 210/234, d=0.695, g=0.702\n",
            ">81, 211/234, d=0.689, g=0.708\n",
            ">81, 212/234, d=0.690, g=0.700\n",
            ">81, 213/234, d=0.691, g=0.706\n",
            ">81, 214/234, d=0.694, g=0.706\n",
            ">81, 215/234, d=0.690, g=0.710\n",
            ">81, 216/234, d=0.692, g=0.712\n",
            ">81, 217/234, d=0.690, g=0.700\n",
            ">81, 218/234, d=0.690, g=0.699\n",
            ">81, 219/234, d=0.687, g=0.688\n",
            ">81, 220/234, d=0.695, g=0.688\n",
            ">81, 221/234, d=0.679, g=0.696\n",
            ">81, 222/234, d=0.689, g=0.709\n",
            ">81, 223/234, d=0.693, g=0.701\n",
            ">81, 224/234, d=0.697, g=0.717\n",
            ">81, 225/234, d=0.690, g=0.704\n",
            ">81, 226/234, d=0.697, g=0.694\n",
            ">81, 227/234, d=0.691, g=0.700\n",
            ">81, 228/234, d=0.687, g=0.713\n",
            ">81, 229/234, d=0.679, g=0.714\n",
            ">81, 230/234, d=0.688, g=0.728\n",
            ">81, 231/234, d=0.693, g=0.720\n",
            ">81, 232/234, d=0.694, g=0.721\n",
            ">81, 233/234, d=0.685, g=0.698\n",
            ">81, 234/234, d=0.688, g=0.686\n",
            ">82, 1/234, d=0.697, g=0.681\n",
            ">82, 2/234, d=0.696, g=0.675\n",
            ">82, 3/234, d=0.693, g=0.694\n",
            ">82, 4/234, d=0.685, g=0.715\n",
            ">82, 5/234, d=0.695, g=0.737\n",
            ">82, 6/234, d=0.688, g=0.720\n",
            ">82, 7/234, d=0.695, g=0.724\n",
            ">82, 8/234, d=0.680, g=0.693\n",
            ">82, 9/234, d=0.676, g=0.700\n",
            ">82, 10/234, d=0.685, g=0.693\n",
            ">82, 11/234, d=0.685, g=0.700\n",
            ">82, 12/234, d=0.686, g=0.706\n",
            ">82, 13/234, d=0.687, g=0.717\n",
            ">82, 14/234, d=0.686, g=0.716\n",
            ">82, 15/234, d=0.691, g=0.713\n",
            ">82, 16/234, d=0.687, g=0.693\n",
            ">82, 17/234, d=0.681, g=0.685\n",
            ">82, 18/234, d=0.685, g=0.686\n",
            ">82, 19/234, d=0.690, g=0.712\n",
            ">82, 20/234, d=0.685, g=0.719\n",
            ">82, 21/234, d=0.689, g=0.718\n",
            ">82, 22/234, d=0.688, g=0.722\n",
            ">82, 23/234, d=0.678, g=0.697\n",
            ">82, 24/234, d=0.688, g=0.689\n",
            ">82, 25/234, d=0.686, g=0.704\n",
            ">82, 26/234, d=0.688, g=0.709\n",
            ">82, 27/234, d=0.692, g=0.719\n",
            ">82, 28/234, d=0.694, g=0.712\n",
            ">82, 29/234, d=0.704, g=0.707\n",
            ">82, 30/234, d=0.694, g=0.694\n",
            ">82, 31/234, d=0.685, g=0.693\n",
            ">82, 32/234, d=0.685, g=0.692\n",
            ">82, 33/234, d=0.688, g=0.703\n",
            ">82, 34/234, d=0.689, g=0.712\n",
            ">82, 35/234, d=0.684, g=0.724\n",
            ">82, 36/234, d=0.695, g=0.726\n",
            ">82, 37/234, d=0.686, g=0.719\n",
            ">82, 38/234, d=0.691, g=0.715\n",
            ">82, 39/234, d=0.690, g=0.693\n",
            ">82, 40/234, d=0.677, g=0.695\n",
            ">82, 41/234, d=0.693, g=0.699\n",
            ">82, 42/234, d=0.694, g=0.696\n",
            ">82, 43/234, d=0.691, g=0.693\n",
            ">82, 44/234, d=0.693, g=0.705\n",
            ">82, 45/234, d=0.687, g=0.698\n",
            ">82, 46/234, d=0.687, g=0.719\n",
            ">82, 47/234, d=0.692, g=0.733\n",
            ">82, 48/234, d=0.691, g=0.732\n",
            ">82, 49/234, d=0.691, g=0.717\n",
            ">82, 50/234, d=0.700, g=0.697\n",
            ">82, 51/234, d=0.680, g=0.682\n",
            ">82, 52/234, d=0.688, g=0.671\n",
            ">82, 53/234, d=0.696, g=0.692\n",
            ">82, 54/234, d=0.691, g=0.720\n",
            ">82, 55/234, d=0.683, g=0.741\n",
            ">82, 56/234, d=0.684, g=0.737\n",
            ">82, 57/234, d=0.688, g=0.718\n",
            ">82, 58/234, d=0.684, g=0.711\n",
            ">82, 59/234, d=0.690, g=0.688\n",
            ">82, 60/234, d=0.693, g=0.686\n",
            ">82, 61/234, d=0.699, g=0.683\n",
            ">82, 62/234, d=0.691, g=0.700\n",
            ">82, 63/234, d=0.689, g=0.717\n",
            ">82, 64/234, d=0.694, g=0.714\n",
            ">82, 65/234, d=0.682, g=0.713\n",
            ">82, 66/234, d=0.686, g=0.724\n",
            ">82, 67/234, d=0.690, g=0.709\n",
            ">82, 68/234, d=0.683, g=0.709\n",
            ">82, 69/234, d=0.686, g=0.696\n",
            ">82, 70/234, d=0.697, g=0.698\n",
            ">82, 71/234, d=0.691, g=0.702\n",
            ">82, 72/234, d=0.690, g=0.700\n",
            ">82, 73/234, d=0.697, g=0.690\n",
            ">82, 74/234, d=0.690, g=0.704\n",
            ">82, 75/234, d=0.696, g=0.710\n",
            ">82, 76/234, d=0.679, g=0.717\n",
            ">82, 77/234, d=0.691, g=0.704\n",
            ">82, 78/234, d=0.689, g=0.700\n",
            ">82, 79/234, d=0.690, g=0.686\n",
            ">82, 80/234, d=0.690, g=0.691\n",
            ">82, 81/234, d=0.691, g=0.700\n",
            ">82, 82/234, d=0.681, g=0.708\n",
            ">82, 83/234, d=0.685, g=0.707\n",
            ">82, 84/234, d=0.682, g=0.712\n",
            ">82, 85/234, d=0.688, g=0.721\n",
            ">82, 86/234, d=0.684, g=0.728\n",
            ">82, 87/234, d=0.689, g=0.715\n",
            ">82, 88/234, d=0.693, g=0.701\n",
            ">82, 89/234, d=0.685, g=0.699\n",
            ">82, 90/234, d=0.690, g=0.701\n",
            ">82, 91/234, d=0.689, g=0.707\n",
            ">82, 92/234, d=0.684, g=0.704\n",
            ">82, 93/234, d=0.692, g=0.704\n",
            ">82, 94/234, d=0.687, g=0.707\n",
            ">82, 95/234, d=0.694, g=0.703\n",
            ">82, 96/234, d=0.689, g=0.691\n",
            ">82, 97/234, d=0.691, g=0.692\n",
            ">82, 98/234, d=0.691, g=0.714\n",
            ">82, 99/234, d=0.685, g=0.728\n",
            ">82, 100/234, d=0.685, g=0.714\n",
            ">82, 101/234, d=0.688, g=0.699\n",
            ">82, 102/234, d=0.685, g=0.703\n",
            ">82, 103/234, d=0.690, g=0.701\n",
            ">82, 104/234, d=0.691, g=0.696\n",
            ">82, 105/234, d=0.686, g=0.716\n",
            ">82, 106/234, d=0.696, g=0.719\n",
            ">82, 107/234, d=0.682, g=0.712\n",
            ">82, 108/234, d=0.695, g=0.707\n",
            ">82, 109/234, d=0.687, g=0.701\n",
            ">82, 110/234, d=0.691, g=0.703\n",
            ">82, 111/234, d=0.691, g=0.694\n",
            ">82, 112/234, d=0.687, g=0.698\n",
            ">82, 113/234, d=0.694, g=0.725\n",
            ">82, 114/234, d=0.682, g=0.724\n",
            ">82, 115/234, d=0.686, g=0.719\n",
            ">82, 116/234, d=0.696, g=0.715\n",
            ">82, 117/234, d=0.683, g=0.712\n",
            ">82, 118/234, d=0.688, g=0.695\n",
            ">82, 119/234, d=0.682, g=0.705\n",
            ">82, 120/234, d=0.686, g=0.695\n",
            ">82, 121/234, d=0.693, g=0.701\n",
            ">82, 122/234, d=0.693, g=0.705\n",
            ">82, 123/234, d=0.686, g=0.706\n",
            ">82, 124/234, d=0.685, g=0.706\n",
            ">82, 125/234, d=0.690, g=0.721\n",
            ">82, 126/234, d=0.688, g=0.716\n",
            ">82, 127/234, d=0.685, g=0.717\n",
            ">82, 128/234, d=0.694, g=0.713\n",
            ">82, 129/234, d=0.696, g=0.708\n",
            ">82, 130/234, d=0.686, g=0.705\n",
            ">82, 131/234, d=0.684, g=0.706\n",
            ">82, 132/234, d=0.693, g=0.704\n",
            ">82, 133/234, d=0.690, g=0.699\n",
            ">82, 134/234, d=0.686, g=0.695\n",
            ">82, 135/234, d=0.684, g=0.700\n",
            ">82, 136/234, d=0.692, g=0.707\n",
            ">82, 137/234, d=0.691, g=0.705\n",
            ">82, 138/234, d=0.687, g=0.698\n",
            ">82, 139/234, d=0.687, g=0.698\n",
            ">82, 140/234, d=0.691, g=0.704\n",
            ">82, 141/234, d=0.690, g=0.712\n",
            ">82, 142/234, d=0.691, g=0.711\n",
            ">82, 143/234, d=0.691, g=0.712\n",
            ">82, 144/234, d=0.690, g=0.699\n",
            ">82, 145/234, d=0.686, g=0.685\n",
            ">82, 146/234, d=0.682, g=0.681\n",
            ">82, 147/234, d=0.688, g=0.683\n",
            ">82, 148/234, d=0.686, g=0.700\n",
            ">82, 149/234, d=0.682, g=0.720\n",
            ">82, 150/234, d=0.694, g=0.710\n",
            ">82, 151/234, d=0.692, g=0.721\n",
            ">82, 152/234, d=0.686, g=0.696\n",
            ">82, 153/234, d=0.693, g=0.694\n",
            ">82, 154/234, d=0.694, g=0.681\n",
            ">82, 155/234, d=0.690, g=0.699\n",
            ">82, 156/234, d=0.685, g=0.697\n",
            ">82, 157/234, d=0.689, g=0.693\n",
            ">82, 158/234, d=0.682, g=0.709\n",
            ">82, 159/234, d=0.706, g=0.710\n",
            ">82, 160/234, d=0.690, g=0.714\n",
            ">82, 161/234, d=0.689, g=0.699\n",
            ">82, 162/234, d=0.688, g=0.691\n",
            ">82, 163/234, d=0.681, g=0.693\n",
            ">82, 164/234, d=0.683, g=0.701\n",
            ">82, 165/234, d=0.685, g=0.710\n",
            ">82, 166/234, d=0.699, g=0.701\n",
            ">82, 167/234, d=0.689, g=0.708\n",
            ">82, 168/234, d=0.689, g=0.700\n",
            ">82, 169/234, d=0.691, g=0.711\n",
            ">82, 170/234, d=0.692, g=0.713\n",
            ">82, 171/234, d=0.690, g=0.711\n",
            ">82, 172/234, d=0.692, g=0.714\n",
            ">82, 173/234, d=0.693, g=0.709\n",
            ">82, 174/234, d=0.690, g=0.712\n",
            ">82, 175/234, d=0.690, g=0.703\n",
            ">82, 176/234, d=0.687, g=0.699\n",
            ">82, 177/234, d=0.686, g=0.698\n",
            ">82, 178/234, d=0.684, g=0.700\n",
            ">82, 179/234, d=0.690, g=0.690\n",
            ">82, 180/234, d=0.690, g=0.689\n",
            ">82, 181/234, d=0.689, g=0.684\n",
            ">82, 182/234, d=0.700, g=0.697\n",
            ">82, 183/234, d=0.687, g=0.718\n",
            ">82, 184/234, d=0.693, g=0.718\n",
            ">82, 185/234, d=0.682, g=0.722\n",
            ">82, 186/234, d=0.685, g=0.705\n",
            ">82, 187/234, d=0.693, g=0.688\n",
            ">82, 188/234, d=0.694, g=0.685\n",
            ">82, 189/234, d=0.690, g=0.698\n",
            ">82, 190/234, d=0.696, g=0.697\n",
            ">82, 191/234, d=0.694, g=0.716\n",
            ">82, 192/234, d=0.686, g=0.714\n",
            ">82, 193/234, d=0.685, g=0.704\n",
            ">82, 194/234, d=0.694, g=0.709\n",
            ">82, 195/234, d=0.698, g=0.683\n",
            ">82, 196/234, d=0.682, g=0.683\n",
            ">82, 197/234, d=0.684, g=0.692\n",
            ">82, 198/234, d=0.692, g=0.713\n",
            ">82, 199/234, d=0.688, g=0.713\n",
            ">82, 200/234, d=0.684, g=0.734\n",
            ">82, 201/234, d=0.688, g=0.722\n",
            ">82, 202/234, d=0.687, g=0.704\n",
            ">82, 203/234, d=0.688, g=0.705\n",
            ">82, 204/234, d=0.690, g=0.704\n",
            ">82, 205/234, d=0.697, g=0.712\n",
            ">82, 206/234, d=0.690, g=0.726\n",
            ">82, 207/234, d=0.693, g=0.725\n",
            ">82, 208/234, d=0.679, g=0.717\n",
            ">82, 209/234, d=0.689, g=0.706\n",
            ">82, 210/234, d=0.689, g=0.694\n",
            ">82, 211/234, d=0.690, g=0.695\n",
            ">82, 212/234, d=0.684, g=0.690\n",
            ">82, 213/234, d=0.690, g=0.670\n",
            ">82, 214/234, d=0.684, g=0.704\n",
            ">82, 215/234, d=0.693, g=0.710\n",
            ">82, 216/234, d=0.690, g=0.716\n",
            ">82, 217/234, d=0.686, g=0.719\n",
            ">82, 218/234, d=0.690, g=0.723\n",
            ">82, 219/234, d=0.686, g=0.721\n",
            ">82, 220/234, d=0.685, g=0.709\n",
            ">82, 221/234, d=0.694, g=0.710\n",
            ">82, 222/234, d=0.684, g=0.704\n",
            ">82, 223/234, d=0.691, g=0.696\n",
            ">82, 224/234, d=0.691, g=0.689\n",
            ">82, 225/234, d=0.688, g=0.693\n",
            ">82, 226/234, d=0.685, g=0.697\n",
            ">82, 227/234, d=0.687, g=0.707\n",
            ">82, 228/234, d=0.695, g=0.711\n",
            ">82, 229/234, d=0.692, g=0.725\n",
            ">82, 230/234, d=0.688, g=0.716\n",
            ">82, 231/234, d=0.682, g=0.722\n",
            ">82, 232/234, d=0.674, g=0.717\n",
            ">82, 233/234, d=0.685, g=0.720\n",
            ">82, 234/234, d=0.682, g=0.709\n",
            ">83, 1/234, d=0.690, g=0.707\n",
            ">83, 2/234, d=0.699, g=0.705\n",
            ">83, 3/234, d=0.687, g=0.716\n",
            ">83, 4/234, d=0.691, g=0.711\n",
            ">83, 5/234, d=0.677, g=0.705\n",
            ">83, 6/234, d=0.683, g=0.712\n",
            ">83, 7/234, d=0.687, g=0.707\n",
            ">83, 8/234, d=0.692, g=0.717\n",
            ">83, 9/234, d=0.684, g=0.707\n",
            ">83, 10/234, d=0.684, g=0.683\n",
            ">83, 11/234, d=0.704, g=0.681\n",
            ">83, 12/234, d=0.692, g=0.692\n",
            ">83, 13/234, d=0.695, g=0.693\n",
            ">83, 14/234, d=0.692, g=0.703\n",
            ">83, 15/234, d=0.688, g=0.719\n",
            ">83, 16/234, d=0.683, g=0.712\n",
            ">83, 17/234, d=0.688, g=0.704\n",
            ">83, 18/234, d=0.688, g=0.715\n",
            ">83, 19/234, d=0.681, g=0.697\n",
            ">83, 20/234, d=0.694, g=0.697\n",
            ">83, 21/234, d=0.689, g=0.707\n",
            ">83, 22/234, d=0.679, g=0.713\n",
            ">83, 23/234, d=0.685, g=0.703\n",
            ">83, 24/234, d=0.687, g=0.695\n",
            ">83, 25/234, d=0.688, g=0.688\n",
            ">83, 26/234, d=0.688, g=0.693\n",
            ">83, 27/234, d=0.685, g=0.708\n",
            ">83, 28/234, d=0.693, g=0.708\n",
            ">83, 29/234, d=0.695, g=0.714\n",
            ">83, 30/234, d=0.683, g=0.724\n",
            ">83, 31/234, d=0.686, g=0.715\n",
            ">83, 32/234, d=0.686, g=0.709\n",
            ">83, 33/234, d=0.688, g=0.697\n",
            ">83, 34/234, d=0.691, g=0.694\n",
            ">83, 35/234, d=0.687, g=0.690\n",
            ">83, 36/234, d=0.683, g=0.686\n",
            ">83, 37/234, d=0.690, g=0.691\n",
            ">83, 38/234, d=0.681, g=0.700\n",
            ">83, 39/234, d=0.694, g=0.709\n",
            ">83, 40/234, d=0.692, g=0.724\n",
            ">83, 41/234, d=0.692, g=0.701\n",
            ">83, 42/234, d=0.693, g=0.709\n",
            ">83, 43/234, d=0.694, g=0.709\n",
            ">83, 44/234, d=0.689, g=0.693\n",
            ">83, 45/234, d=0.695, g=0.695\n",
            ">83, 46/234, d=0.691, g=0.707\n",
            ">83, 47/234, d=0.688, g=0.706\n",
            ">83, 48/234, d=0.691, g=0.704\n",
            ">83, 49/234, d=0.685, g=0.708\n",
            ">83, 50/234, d=0.689, g=0.694\n",
            ">83, 51/234, d=0.683, g=0.706\n",
            ">83, 52/234, d=0.684, g=0.710\n",
            ">83, 53/234, d=0.693, g=0.711\n",
            ">83, 54/234, d=0.681, g=0.720\n",
            ">83, 55/234, d=0.692, g=0.702\n",
            ">83, 56/234, d=0.691, g=0.702\n",
            ">83, 57/234, d=0.693, g=0.700\n",
            ">83, 58/234, d=0.687, g=0.689\n",
            ">83, 59/234, d=0.691, g=0.696\n",
            ">83, 60/234, d=0.689, g=0.698\n",
            ">83, 61/234, d=0.687, g=0.713\n",
            ">83, 62/234, d=0.690, g=0.715\n",
            ">83, 63/234, d=0.688, g=0.717\n",
            ">83, 64/234, d=0.685, g=0.700\n",
            ">83, 65/234, d=0.693, g=0.697\n",
            ">83, 66/234, d=0.683, g=0.696\n",
            ">83, 67/234, d=0.698, g=0.705\n",
            ">83, 68/234, d=0.685, g=0.708\n",
            ">83, 69/234, d=0.689, g=0.717\n",
            ">83, 70/234, d=0.693, g=0.700\n",
            ">83, 71/234, d=0.685, g=0.714\n",
            ">83, 72/234, d=0.693, g=0.716\n",
            ">83, 73/234, d=0.691, g=0.723\n",
            ">83, 74/234, d=0.690, g=0.717\n",
            ">83, 75/234, d=0.693, g=0.701\n",
            ">83, 76/234, d=0.689, g=0.704\n",
            ">83, 77/234, d=0.680, g=0.679\n",
            ">83, 78/234, d=0.692, g=0.701\n",
            ">83, 79/234, d=0.696, g=0.701\n",
            ">83, 80/234, d=0.684, g=0.716\n",
            ">83, 81/234, d=0.685, g=0.715\n",
            ">83, 82/234, d=0.685, g=0.718\n",
            ">83, 83/234, d=0.685, g=0.718\n",
            ">83, 84/234, d=0.684, g=0.702\n",
            ">83, 85/234, d=0.689, g=0.703\n",
            ">83, 86/234, d=0.691, g=0.701\n",
            ">83, 87/234, d=0.691, g=0.707\n",
            ">83, 88/234, d=0.685, g=0.713\n",
            ">83, 89/234, d=0.699, g=0.724\n",
            ">83, 90/234, d=0.689, g=0.717\n",
            ">83, 91/234, d=0.686, g=0.719\n",
            ">83, 92/234, d=0.687, g=0.706\n",
            ">83, 93/234, d=0.694, g=0.698\n",
            ">83, 94/234, d=0.686, g=0.700\n",
            ">83, 95/234, d=0.697, g=0.689\n",
            ">83, 96/234, d=0.681, g=0.692\n",
            ">83, 97/234, d=0.691, g=0.699\n",
            ">83, 98/234, d=0.696, g=0.696\n",
            ">83, 99/234, d=0.692, g=0.712\n",
            ">83, 100/234, d=0.687, g=0.720\n",
            ">83, 101/234, d=0.683, g=0.711\n",
            ">83, 102/234, d=0.688, g=0.701\n",
            ">83, 103/234, d=0.685, g=0.684\n",
            ">83, 104/234, d=0.690, g=0.691\n",
            ">83, 105/234, d=0.691, g=0.683\n",
            ">83, 106/234, d=0.686, g=0.702\n",
            ">83, 107/234, d=0.687, g=0.712\n",
            ">83, 108/234, d=0.683, g=0.737\n",
            ">83, 109/234, d=0.692, g=0.719\n",
            ">83, 110/234, d=0.698, g=0.709\n",
            ">83, 111/234, d=0.691, g=0.678\n",
            ">83, 112/234, d=0.681, g=0.672\n",
            ">83, 113/234, d=0.690, g=0.684\n",
            ">83, 114/234, d=0.686, g=0.687\n",
            ">83, 115/234, d=0.690, g=0.696\n",
            ">83, 116/234, d=0.679, g=0.712\n",
            ">83, 117/234, d=0.691, g=0.732\n",
            ">83, 118/234, d=0.692, g=0.727\n",
            ">83, 119/234, d=0.692, g=0.712\n",
            ">83, 120/234, d=0.688, g=0.686\n",
            ">83, 121/234, d=0.692, g=0.700\n",
            ">83, 122/234, d=0.692, g=0.706\n",
            ">83, 123/234, d=0.692, g=0.722\n",
            ">83, 124/234, d=0.688, g=0.726\n",
            ">83, 125/234, d=0.695, g=0.697\n",
            ">83, 126/234, d=0.696, g=0.686\n",
            ">83, 127/234, d=0.686, g=0.675\n",
            ">83, 128/234, d=0.689, g=0.692\n",
            ">83, 129/234, d=0.684, g=0.690\n",
            ">83, 130/234, d=0.685, g=0.721\n",
            ">83, 131/234, d=0.684, g=0.718\n",
            ">83, 132/234, d=0.694, g=0.692\n",
            ">83, 133/234, d=0.699, g=0.701\n",
            ">83, 134/234, d=0.695, g=0.716\n",
            ">83, 135/234, d=0.684, g=0.714\n",
            ">83, 136/234, d=0.690, g=0.711\n",
            ">83, 137/234, d=0.689, g=0.702\n",
            ">83, 138/234, d=0.692, g=0.712\n",
            ">83, 139/234, d=0.700, g=0.703\n",
            ">83, 140/234, d=0.689, g=0.693\n",
            ">83, 141/234, d=0.680, g=0.697\n",
            ">83, 142/234, d=0.680, g=0.700\n",
            ">83, 143/234, d=0.688, g=0.690\n",
            ">83, 144/234, d=0.694, g=0.696\n",
            ">83, 145/234, d=0.691, g=0.701\n",
            ">83, 146/234, d=0.692, g=0.710\n",
            ">83, 147/234, d=0.692, g=0.714\n",
            ">83, 148/234, d=0.689, g=0.711\n",
            ">83, 149/234, d=0.687, g=0.694\n",
            ">83, 150/234, d=0.692, g=0.693\n",
            ">83, 151/234, d=0.694, g=0.707\n",
            ">83, 152/234, d=0.688, g=0.718\n",
            ">83, 153/234, d=0.687, g=0.725\n",
            ">83, 154/234, d=0.686, g=0.714\n",
            ">83, 155/234, d=0.694, g=0.704\n",
            ">83, 156/234, d=0.683, g=0.714\n",
            ">83, 157/234, d=0.687, g=0.698\n",
            ">83, 158/234, d=0.689, g=0.692\n",
            ">83, 159/234, d=0.694, g=0.694\n",
            ">83, 160/234, d=0.685, g=0.688\n",
            ">83, 161/234, d=0.695, g=0.696\n",
            ">83, 162/234, d=0.697, g=0.708\n",
            ">83, 163/234, d=0.684, g=0.705\n",
            ">83, 164/234, d=0.692, g=0.709\n",
            ">83, 165/234, d=0.689, g=0.704\n",
            ">83, 166/234, d=0.685, g=0.698\n",
            ">83, 167/234, d=0.688, g=0.716\n",
            ">83, 168/234, d=0.689, g=0.701\n",
            ">83, 169/234, d=0.683, g=0.717\n",
            ">83, 170/234, d=0.685, g=0.713\n",
            ">83, 171/234, d=0.683, g=0.693\n",
            ">83, 172/234, d=0.687, g=0.704\n",
            ">83, 173/234, d=0.676, g=0.695\n",
            ">83, 174/234, d=0.683, g=0.695\n",
            ">83, 175/234, d=0.677, g=0.688\n",
            ">83, 176/234, d=0.685, g=0.698\n",
            ">83, 177/234, d=0.690, g=0.699\n",
            ">83, 178/234, d=0.687, g=0.709\n",
            ">83, 179/234, d=0.690, g=0.701\n",
            ">83, 180/234, d=0.694, g=0.693\n",
            ">83, 181/234, d=0.693, g=0.705\n",
            ">83, 182/234, d=0.695, g=0.723\n",
            ">83, 183/234, d=0.690, g=0.731\n",
            ">83, 184/234, d=0.696, g=0.743\n",
            ">83, 185/234, d=0.680, g=0.719\n",
            ">83, 186/234, d=0.691, g=0.699\n",
            ">83, 187/234, d=0.695, g=0.694\n",
            ">83, 188/234, d=0.687, g=0.697\n",
            ">83, 189/234, d=0.697, g=0.698\n",
            ">83, 190/234, d=0.682, g=0.690\n",
            ">83, 191/234, d=0.687, g=0.694\n",
            ">83, 192/234, d=0.684, g=0.700\n",
            ">83, 193/234, d=0.683, g=0.708\n",
            ">83, 194/234, d=0.680, g=0.695\n",
            ">83, 195/234, d=0.687, g=0.701\n",
            ">83, 196/234, d=0.692, g=0.704\n",
            ">83, 197/234, d=0.683, g=0.696\n",
            ">83, 198/234, d=0.690, g=0.720\n",
            ">83, 199/234, d=0.691, g=0.727\n",
            ">83, 200/234, d=0.686, g=0.717\n",
            ">83, 201/234, d=0.685, g=0.701\n",
            ">83, 202/234, d=0.685, g=0.700\n",
            ">83, 203/234, d=0.692, g=0.692\n",
            ">83, 204/234, d=0.694, g=0.688\n",
            ">83, 205/234, d=0.698, g=0.703\n",
            ">83, 206/234, d=0.680, g=0.708\n",
            ">83, 207/234, d=0.687, g=0.700\n",
            ">83, 208/234, d=0.691, g=0.705\n",
            ">83, 209/234, d=0.688, g=0.699\n",
            ">83, 210/234, d=0.691, g=0.689\n",
            ">83, 211/234, d=0.685, g=0.693\n",
            ">83, 212/234, d=0.693, g=0.696\n",
            ">83, 213/234, d=0.696, g=0.715\n",
            ">83, 214/234, d=0.689, g=0.709\n",
            ">83, 215/234, d=0.686, g=0.698\n",
            ">83, 216/234, d=0.691, g=0.700\n",
            ">83, 217/234, d=0.692, g=0.702\n",
            ">83, 218/234, d=0.677, g=0.699\n",
            ">83, 219/234, d=0.686, g=0.699\n",
            ">83, 220/234, d=0.690, g=0.691\n",
            ">83, 221/234, d=0.686, g=0.706\n",
            ">83, 222/234, d=0.690, g=0.707\n",
            ">83, 223/234, d=0.695, g=0.703\n",
            ">83, 224/234, d=0.686, g=0.702\n",
            ">83, 225/234, d=0.691, g=0.710\n",
            ">83, 226/234, d=0.685, g=0.709\n",
            ">83, 227/234, d=0.687, g=0.706\n",
            ">83, 228/234, d=0.696, g=0.709\n",
            ">83, 229/234, d=0.689, g=0.706\n",
            ">83, 230/234, d=0.691, g=0.702\n",
            ">83, 231/234, d=0.691, g=0.699\n",
            ">83, 232/234, d=0.697, g=0.700\n",
            ">83, 233/234, d=0.683, g=0.698\n",
            ">83, 234/234, d=0.691, g=0.700\n",
            ">84, 1/234, d=0.692, g=0.690\n",
            ">84, 2/234, d=0.692, g=0.686\n",
            ">84, 3/234, d=0.682, g=0.687\n",
            ">84, 4/234, d=0.691, g=0.704\n",
            ">84, 5/234, d=0.689, g=0.723\n",
            ">84, 6/234, d=0.687, g=0.723\n",
            ">84, 7/234, d=0.692, g=0.709\n",
            ">84, 8/234, d=0.680, g=0.694\n",
            ">84, 9/234, d=0.690, g=0.703\n",
            ">84, 10/234, d=0.694, g=0.703\n",
            ">84, 11/234, d=0.687, g=0.706\n",
            ">84, 12/234, d=0.679, g=0.703\n",
            ">84, 13/234, d=0.689, g=0.712\n",
            ">84, 14/234, d=0.686, g=0.719\n",
            ">84, 15/234, d=0.686, g=0.715\n",
            ">84, 16/234, d=0.692, g=0.692\n",
            ">84, 17/234, d=0.697, g=0.692\n",
            ">84, 18/234, d=0.699, g=0.709\n",
            ">84, 19/234, d=0.697, g=0.707\n",
            ">84, 20/234, d=0.683, g=0.703\n",
            ">84, 21/234, d=0.694, g=0.695\n",
            ">84, 22/234, d=0.692, g=0.704\n",
            ">84, 23/234, d=0.700, g=0.722\n",
            ">84, 24/234, d=0.687, g=0.703\n",
            ">84, 25/234, d=0.683, g=0.698\n",
            ">84, 26/234, d=0.691, g=0.704\n",
            ">84, 27/234, d=0.691, g=0.714\n",
            ">84, 28/234, d=0.681, g=0.704\n",
            ">84, 29/234, d=0.686, g=0.708\n",
            ">84, 30/234, d=0.681, g=0.701\n",
            ">84, 31/234, d=0.695, g=0.709\n",
            ">84, 32/234, d=0.690, g=0.715\n",
            ">84, 33/234, d=0.694, g=0.714\n",
            ">84, 34/234, d=0.684, g=0.711\n",
            ">84, 35/234, d=0.688, g=0.698\n",
            ">84, 36/234, d=0.677, g=0.701\n",
            ">84, 37/234, d=0.692, g=0.699\n",
            ">84, 38/234, d=0.693, g=0.693\n",
            ">84, 39/234, d=0.687, g=0.699\n",
            ">84, 40/234, d=0.691, g=0.698\n",
            ">84, 41/234, d=0.692, g=0.711\n",
            ">84, 42/234, d=0.682, g=0.712\n",
            ">84, 43/234, d=0.680, g=0.711\n",
            ">84, 44/234, d=0.690, g=0.692\n",
            ">84, 45/234, d=0.684, g=0.704\n",
            ">84, 46/234, d=0.682, g=0.704\n",
            ">84, 47/234, d=0.694, g=0.703\n",
            ">84, 48/234, d=0.688, g=0.713\n",
            ">84, 49/234, d=0.691, g=0.726\n",
            ">84, 50/234, d=0.691, g=0.716\n",
            ">84, 51/234, d=0.686, g=0.712\n",
            ">84, 52/234, d=0.684, g=0.694\n",
            ">84, 53/234, d=0.698, g=0.704\n",
            ">84, 54/234, d=0.692, g=0.718\n",
            ">84, 55/234, d=0.695, g=0.728\n",
            ">84, 56/234, d=0.703, g=0.715\n",
            ">84, 57/234, d=0.691, g=0.707\n",
            ">84, 58/234, d=0.687, g=0.699\n",
            ">84, 59/234, d=0.693, g=0.682\n",
            ">84, 60/234, d=0.688, g=0.679\n",
            ">84, 61/234, d=0.688, g=0.681\n",
            ">84, 62/234, d=0.691, g=0.706\n",
            ">84, 63/234, d=0.686, g=0.717\n",
            ">84, 64/234, d=0.691, g=0.717\n",
            ">84, 65/234, d=0.685, g=0.713\n",
            ">84, 66/234, d=0.688, g=0.695\n",
            ">84, 67/234, d=0.680, g=0.682\n",
            ">84, 68/234, d=0.678, g=0.697\n",
            ">84, 69/234, d=0.689, g=0.716\n",
            ">84, 70/234, d=0.686, g=0.729\n",
            ">84, 71/234, d=0.682, g=0.749\n",
            ">84, 72/234, d=0.682, g=0.728\n",
            ">84, 73/234, d=0.687, g=0.699\n",
            ">84, 74/234, d=0.692, g=0.682\n",
            ">84, 75/234, d=0.683, g=0.670\n",
            ">84, 76/234, d=0.687, g=0.688\n",
            ">84, 77/234, d=0.692, g=0.698\n",
            ">84, 78/234, d=0.696, g=0.713\n",
            ">84, 79/234, d=0.700, g=0.708\n",
            ">84, 80/234, d=0.690, g=0.709\n",
            ">84, 81/234, d=0.689, g=0.723\n",
            ">84, 82/234, d=0.691, g=0.705\n",
            ">84, 83/234, d=0.687, g=0.685\n",
            ">84, 84/234, d=0.697, g=0.697\n",
            ">84, 85/234, d=0.695, g=0.710\n",
            ">84, 86/234, d=0.693, g=0.709\n",
            ">84, 87/234, d=0.691, g=0.711\n",
            ">84, 88/234, d=0.682, g=0.719\n",
            ">84, 89/234, d=0.685, g=0.702\n",
            ">84, 90/234, d=0.686, g=0.706\n",
            ">84, 91/234, d=0.692, g=0.723\n",
            ">84, 92/234, d=0.686, g=0.714\n",
            ">84, 93/234, d=0.682, g=0.711\n",
            ">84, 94/234, d=0.696, g=0.700\n",
            ">84, 95/234, d=0.684, g=0.701\n",
            ">84, 96/234, d=0.692, g=0.702\n",
            ">84, 97/234, d=0.694, g=0.717\n",
            ">84, 98/234, d=0.683, g=0.716\n",
            ">84, 99/234, d=0.677, g=0.702\n",
            ">84, 100/234, d=0.687, g=0.713\n",
            ">84, 101/234, d=0.684, g=0.705\n",
            ">84, 102/234, d=0.690, g=0.707\n",
            ">84, 103/234, d=0.688, g=0.698\n",
            ">84, 104/234, d=0.695, g=0.701\n",
            ">84, 105/234, d=0.682, g=0.712\n",
            ">84, 106/234, d=0.693, g=0.712\n",
            ">84, 107/234, d=0.685, g=0.711\n",
            ">84, 108/234, d=0.684, g=0.716\n",
            ">84, 109/234, d=0.688, g=0.716\n",
            ">84, 110/234, d=0.688, g=0.709\n",
            ">84, 111/234, d=0.696, g=0.711\n",
            ">84, 112/234, d=0.683, g=0.693\n",
            ">84, 113/234, d=0.693, g=0.697\n",
            ">84, 114/234, d=0.685, g=0.691\n",
            ">84, 115/234, d=0.690, g=0.712\n",
            ">84, 116/234, d=0.695, g=0.722\n",
            ">84, 117/234, d=0.687, g=0.729\n",
            ">84, 118/234, d=0.694, g=0.700\n",
            ">84, 119/234, d=0.691, g=0.688\n",
            ">84, 120/234, d=0.688, g=0.682\n",
            ">84, 121/234, d=0.693, g=0.701\n",
            ">84, 122/234, d=0.692, g=0.700\n",
            ">84, 123/234, d=0.693, g=0.702\n",
            ">84, 124/234, d=0.689, g=0.718\n",
            ">84, 125/234, d=0.686, g=0.711\n",
            ">84, 126/234, d=0.687, g=0.710\n",
            ">84, 127/234, d=0.687, g=0.703\n",
            ">84, 128/234, d=0.690, g=0.694\n",
            ">84, 129/234, d=0.686, g=0.707\n",
            ">84, 130/234, d=0.694, g=0.720\n",
            ">84, 131/234, d=0.691, g=0.721\n",
            ">84, 132/234, d=0.688, g=0.711\n",
            ">84, 133/234, d=0.692, g=0.700\n",
            ">84, 134/234, d=0.694, g=0.697\n",
            ">84, 135/234, d=0.697, g=0.717\n",
            ">84, 136/234, d=0.685, g=0.723\n",
            ">84, 137/234, d=0.687, g=0.715\n",
            ">84, 138/234, d=0.690, g=0.712\n",
            ">84, 139/234, d=0.696, g=0.707\n",
            ">84, 140/234, d=0.690, g=0.710\n",
            ">84, 141/234, d=0.686, g=0.706\n",
            ">84, 142/234, d=0.683, g=0.701\n",
            ">84, 143/234, d=0.690, g=0.690\n",
            ">84, 144/234, d=0.684, g=0.710\n",
            ">84, 145/234, d=0.682, g=0.703\n",
            ">84, 146/234, d=0.689, g=0.711\n",
            ">84, 147/234, d=0.690, g=0.705\n",
            ">84, 148/234, d=0.685, g=0.714\n",
            ">84, 149/234, d=0.684, g=0.708\n",
            ">84, 150/234, d=0.701, g=0.708\n",
            ">84, 151/234, d=0.692, g=0.711\n",
            ">84, 152/234, d=0.695, g=0.704\n",
            ">84, 153/234, d=0.689, g=0.705\n",
            ">84, 154/234, d=0.687, g=0.703\n",
            ">84, 155/234, d=0.680, g=0.702\n",
            ">84, 156/234, d=0.693, g=0.717\n",
            ">84, 157/234, d=0.685, g=0.716\n",
            ">84, 158/234, d=0.691, g=0.702\n",
            ">84, 159/234, d=0.692, g=0.694\n",
            ">84, 160/234, d=0.688, g=0.690\n",
            ">84, 161/234, d=0.690, g=0.706\n",
            ">84, 162/234, d=0.693, g=0.705\n",
            ">84, 163/234, d=0.687, g=0.707\n",
            ">84, 164/234, d=0.678, g=0.700\n",
            ">84, 165/234, d=0.686, g=0.698\n",
            ">84, 166/234, d=0.687, g=0.707\n",
            ">84, 167/234, d=0.694, g=0.702\n",
            ">84, 168/234, d=0.683, g=0.709\n",
            ">84, 169/234, d=0.680, g=0.703\n",
            ">84, 170/234, d=0.688, g=0.698\n",
            ">84, 171/234, d=0.686, g=0.701\n",
            ">84, 172/234, d=0.696, g=0.712\n",
            ">84, 173/234, d=0.688, g=0.720\n",
            ">84, 174/234, d=0.693, g=0.725\n",
            ">84, 175/234, d=0.690, g=0.702\n",
            ">84, 176/234, d=0.693, g=0.705\n",
            ">84, 177/234, d=0.694, g=0.707\n",
            ">84, 178/234, d=0.677, g=0.708\n",
            ">84, 179/234, d=0.694, g=0.710\n",
            ">84, 180/234, d=0.689, g=0.701\n",
            ">84, 181/234, d=0.691, g=0.705\n",
            ">84, 182/234, d=0.693, g=0.710\n",
            ">84, 183/234, d=0.690, g=0.724\n",
            ">84, 184/234, d=0.691, g=0.700\n",
            ">84, 185/234, d=0.687, g=0.693\n",
            ">84, 186/234, d=0.698, g=0.686\n",
            ">84, 187/234, d=0.697, g=0.700\n",
            ">84, 188/234, d=0.689, g=0.701\n",
            ">84, 189/234, d=0.699, g=0.703\n",
            ">84, 190/234, d=0.690, g=0.692\n",
            ">84, 191/234, d=0.681, g=0.701\n",
            ">84, 192/234, d=0.694, g=0.703\n",
            ">84, 193/234, d=0.691, g=0.714\n",
            ">84, 194/234, d=0.693, g=0.715\n",
            ">84, 195/234, d=0.691, g=0.713\n",
            ">84, 196/234, d=0.697, g=0.712\n",
            ">84, 197/234, d=0.683, g=0.695\n",
            ">84, 198/234, d=0.682, g=0.690\n",
            ">84, 199/234, d=0.694, g=0.694\n",
            ">84, 200/234, d=0.697, g=0.708\n",
            ">84, 201/234, d=0.689, g=0.705\n",
            ">84, 202/234, d=0.687, g=0.717\n",
            ">84, 203/234, d=0.694, g=0.717\n",
            ">84, 204/234, d=0.683, g=0.707\n",
            ">84, 205/234, d=0.685, g=0.707\n",
            ">84, 206/234, d=0.693, g=0.706\n",
            ">84, 207/234, d=0.683, g=0.711\n",
            ">84, 208/234, d=0.694, g=0.700\n",
            ">84, 209/234, d=0.687, g=0.700\n",
            ">84, 210/234, d=0.689, g=0.696\n",
            ">84, 211/234, d=0.684, g=0.692\n",
            ">84, 212/234, d=0.684, g=0.714\n",
            ">84, 213/234, d=0.678, g=0.721\n",
            ">84, 214/234, d=0.695, g=0.717\n",
            ">84, 215/234, d=0.687, g=0.712\n",
            ">84, 216/234, d=0.695, g=0.696\n",
            ">84, 217/234, d=0.692, g=0.693\n",
            ">84, 218/234, d=0.686, g=0.697\n",
            ">84, 219/234, d=0.683, g=0.697\n",
            ">84, 220/234, d=0.690, g=0.712\n",
            ">84, 221/234, d=0.692, g=0.714\n",
            ">84, 222/234, d=0.698, g=0.697\n",
            ">84, 223/234, d=0.686, g=0.705\n",
            ">84, 224/234, d=0.697, g=0.699\n",
            ">84, 225/234, d=0.685, g=0.701\n",
            ">84, 226/234, d=0.678, g=0.706\n",
            ">84, 227/234, d=0.685, g=0.702\n",
            ">84, 228/234, d=0.685, g=0.706\n",
            ">84, 229/234, d=0.689, g=0.718\n",
            ">84, 230/234, d=0.689, g=0.711\n",
            ">84, 231/234, d=0.687, g=0.702\n",
            ">84, 232/234, d=0.690, g=0.705\n",
            ">84, 233/234, d=0.693, g=0.709\n",
            ">84, 234/234, d=0.691, g=0.706\n",
            ">85, 1/234, d=0.696, g=0.711\n",
            ">85, 2/234, d=0.685, g=0.703\n",
            ">85, 3/234, d=0.695, g=0.693\n",
            ">85, 4/234, d=0.692, g=0.684\n",
            ">85, 5/234, d=0.687, g=0.700\n",
            ">85, 6/234, d=0.694, g=0.705\n",
            ">85, 7/234, d=0.693, g=0.708\n",
            ">85, 8/234, d=0.688, g=0.726\n",
            ">85, 9/234, d=0.699, g=0.725\n",
            ">85, 10/234, d=0.682, g=0.702\n",
            ">85, 11/234, d=0.676, g=0.687\n",
            ">85, 12/234, d=0.679, g=0.698\n",
            ">85, 13/234, d=0.703, g=0.708\n",
            ">85, 14/234, d=0.687, g=0.708\n",
            ">85, 15/234, d=0.686, g=0.709\n",
            ">85, 16/234, d=0.691, g=0.714\n",
            ">85, 17/234, d=0.693, g=0.706\n",
            ">85, 18/234, d=0.678, g=0.711\n",
            ">85, 19/234, d=0.688, g=0.702\n",
            ">85, 20/234, d=0.691, g=0.706\n",
            ">85, 21/234, d=0.688, g=0.704\n",
            ">85, 22/234, d=0.680, g=0.697\n",
            ">85, 23/234, d=0.689, g=0.700\n",
            ">85, 24/234, d=0.690, g=0.710\n",
            ">85, 25/234, d=0.692, g=0.703\n",
            ">85, 26/234, d=0.682, g=0.705\n",
            ">85, 27/234, d=0.692, g=0.719\n",
            ">85, 28/234, d=0.686, g=0.709\n",
            ">85, 29/234, d=0.686, g=0.703\n",
            ">85, 30/234, d=0.691, g=0.705\n",
            ">85, 31/234, d=0.697, g=0.715\n",
            ">85, 32/234, d=0.683, g=0.710\n",
            ">85, 33/234, d=0.690, g=0.707\n",
            ">85, 34/234, d=0.684, g=0.701\n",
            ">85, 35/234, d=0.690, g=0.691\n",
            ">85, 36/234, d=0.685, g=0.695\n",
            ">85, 37/234, d=0.692, g=0.700\n",
            ">85, 38/234, d=0.690, g=0.700\n",
            ">85, 39/234, d=0.688, g=0.707\n",
            ">85, 40/234, d=0.682, g=0.709\n",
            ">85, 41/234, d=0.685, g=0.708\n",
            ">85, 42/234, d=0.682, g=0.676\n",
            ">85, 43/234, d=0.691, g=0.687\n",
            ">85, 44/234, d=0.680, g=0.696\n",
            ">85, 45/234, d=0.688, g=0.703\n",
            ">85, 46/234, d=0.695, g=0.712\n",
            ">85, 47/234, d=0.688, g=0.727\n",
            ">85, 48/234, d=0.691, g=0.723\n",
            ">85, 49/234, d=0.688, g=0.711\n",
            ">85, 50/234, d=0.692, g=0.693\n",
            ">85, 51/234, d=0.691, g=0.701\n",
            ">85, 52/234, d=0.696, g=0.701\n",
            ">85, 53/234, d=0.696, g=0.696\n",
            ">85, 54/234, d=0.685, g=0.700\n",
            ">85, 55/234, d=0.685, g=0.705\n",
            ">85, 56/234, d=0.687, g=0.701\n",
            ">85, 57/234, d=0.692, g=0.695\n",
            ">85, 58/234, d=0.682, g=0.681\n",
            ">85, 59/234, d=0.696, g=0.695\n",
            ">85, 60/234, d=0.688, g=0.714\n",
            ">85, 61/234, d=0.691, g=0.710\n",
            ">85, 62/234, d=0.690, g=0.712\n",
            ">85, 63/234, d=0.690, g=0.709\n",
            ">85, 64/234, d=0.693, g=0.720\n",
            ">85, 65/234, d=0.678, g=0.705\n",
            ">85, 66/234, d=0.692, g=0.697\n",
            ">85, 67/234, d=0.686, g=0.689\n",
            ">85, 68/234, d=0.696, g=0.695\n",
            ">85, 69/234, d=0.690, g=0.683\n",
            ">85, 70/234, d=0.692, g=0.702\n",
            ">85, 71/234, d=0.684, g=0.719\n",
            ">85, 72/234, d=0.691, g=0.722\n",
            ">85, 73/234, d=0.690, g=0.719\n",
            ">85, 74/234, d=0.691, g=0.716\n",
            ">85, 75/234, d=0.683, g=0.704\n",
            ">85, 76/234, d=0.690, g=0.692\n",
            ">85, 77/234, d=0.688, g=0.683\n",
            ">85, 78/234, d=0.692, g=0.690\n",
            ">85, 79/234, d=0.691, g=0.708\n",
            ">85, 80/234, d=0.697, g=0.700\n",
            ">85, 81/234, d=0.692, g=0.714\n",
            ">85, 82/234, d=0.695, g=0.725\n",
            ">85, 83/234, d=0.691, g=0.728\n",
            ">85, 84/234, d=0.687, g=0.721\n",
            ">85, 85/234, d=0.691, g=0.712\n",
            ">85, 86/234, d=0.687, g=0.707\n",
            ">85, 87/234, d=0.692, g=0.693\n",
            ">85, 88/234, d=0.695, g=0.690\n",
            ">85, 89/234, d=0.684, g=0.692\n",
            ">85, 90/234, d=0.693, g=0.692\n",
            ">85, 91/234, d=0.692, g=0.704\n",
            ">85, 92/234, d=0.683, g=0.724\n",
            ">85, 93/234, d=0.683, g=0.712\n",
            ">85, 94/234, d=0.687, g=0.702\n",
            ">85, 95/234, d=0.697, g=0.707\n",
            ">85, 96/234, d=0.682, g=0.708\n",
            ">85, 97/234, d=0.694, g=0.701\n",
            ">85, 98/234, d=0.683, g=0.696\n",
            ">85, 99/234, d=0.690, g=0.698\n",
            ">85, 100/234, d=0.696, g=0.703\n",
            ">85, 101/234, d=0.694, g=0.708\n",
            ">85, 102/234, d=0.688, g=0.711\n",
            ">85, 103/234, d=0.694, g=0.700\n",
            ">85, 104/234, d=0.690, g=0.706\n",
            ">85, 105/234, d=0.690, g=0.695\n",
            ">85, 106/234, d=0.688, g=0.700\n",
            ">85, 107/234, d=0.686, g=0.709\n",
            ">85, 108/234, d=0.686, g=0.711\n",
            ">85, 109/234, d=0.686, g=0.707\n",
            ">85, 110/234, d=0.690, g=0.698\n",
            ">85, 111/234, d=0.693, g=0.697\n",
            ">85, 112/234, d=0.687, g=0.696\n",
            ">85, 113/234, d=0.690, g=0.692\n",
            ">85, 114/234, d=0.693, g=0.696\n",
            ">85, 115/234, d=0.689, g=0.692\n",
            ">85, 116/234, d=0.698, g=0.703\n",
            ">85, 117/234, d=0.688, g=0.731\n",
            ">85, 118/234, d=0.689, g=0.744\n",
            ">85, 119/234, d=0.684, g=0.727\n",
            ">85, 120/234, d=0.688, g=0.721\n",
            ">85, 121/234, d=0.684, g=0.686\n",
            ">85, 122/234, d=0.695, g=0.666\n",
            ">85, 123/234, d=0.689, g=0.670\n",
            ">85, 124/234, d=0.692, g=0.684\n",
            ">85, 125/234, d=0.686, g=0.697\n",
            ">85, 126/234, d=0.682, g=0.734\n",
            ">85, 127/234, d=0.691, g=0.751\n",
            ">85, 128/234, d=0.681, g=0.764\n",
            ">85, 129/234, d=0.692, g=0.715\n",
            ">85, 130/234, d=0.679, g=0.699\n",
            ">85, 131/234, d=0.693, g=0.677\n",
            ">85, 132/234, d=0.687, g=0.671\n",
            ">85, 133/234, d=0.701, g=0.685\n",
            ">85, 134/234, d=0.683, g=0.696\n",
            ">85, 135/234, d=0.686, g=0.725\n",
            ">85, 136/234, d=0.695, g=0.725\n",
            ">85, 137/234, d=0.678, g=0.724\n",
            ">85, 138/234, d=0.676, g=0.732\n",
            ">85, 139/234, d=0.692, g=0.723\n",
            ">85, 140/234, d=0.691, g=0.700\n",
            ">85, 141/234, d=0.690, g=0.691\n",
            ">85, 142/234, d=0.679, g=0.696\n",
            ">85, 143/234, d=0.691, g=0.690\n",
            ">85, 144/234, d=0.687, g=0.698\n",
            ">85, 145/234, d=0.688, g=0.696\n",
            ">85, 146/234, d=0.680, g=0.690\n",
            ">85, 147/234, d=0.690, g=0.702\n",
            ">85, 148/234, d=0.694, g=0.717\n",
            ">85, 149/234, d=0.692, g=0.734\n",
            ">85, 150/234, d=0.689, g=0.722\n",
            ">85, 151/234, d=0.689, g=0.715\n",
            ">85, 152/234, d=0.695, g=0.704\n",
            ">85, 153/234, d=0.688, g=0.697\n",
            ">85, 154/234, d=0.697, g=0.696\n",
            ">85, 155/234, d=0.685, g=0.701\n",
            ">85, 156/234, d=0.701, g=0.692\n",
            ">85, 157/234, d=0.690, g=0.708\n",
            ">85, 158/234, d=0.697, g=0.707\n",
            ">85, 159/234, d=0.687, g=0.709\n",
            ">85, 160/234, d=0.694, g=0.698\n",
            ">85, 161/234, d=0.689, g=0.699\n",
            ">85, 162/234, d=0.686, g=0.691\n",
            ">85, 163/234, d=0.686, g=0.711\n",
            ">85, 164/234, d=0.690, g=0.724\n",
            ">85, 165/234, d=0.693, g=0.737\n",
            ">85, 166/234, d=0.693, g=0.723\n",
            ">85, 167/234, d=0.692, g=0.702\n",
            ">85, 168/234, d=0.684, g=0.693\n",
            ">85, 169/234, d=0.684, g=0.689\n",
            ">85, 170/234, d=0.692, g=0.688\n",
            ">85, 171/234, d=0.687, g=0.709\n",
            ">85, 172/234, d=0.691, g=0.715\n",
            ">85, 173/234, d=0.683, g=0.708\n",
            ">85, 174/234, d=0.683, g=0.703\n",
            ">85, 175/234, d=0.691, g=0.703\n",
            ">85, 176/234, d=0.687, g=0.705\n",
            ">85, 177/234, d=0.688, g=0.694\n",
            ">85, 178/234, d=0.689, g=0.691\n",
            ">85, 179/234, d=0.689, g=0.697\n",
            ">85, 180/234, d=0.694, g=0.709\n",
            ">85, 181/234, d=0.680, g=0.701\n",
            ">85, 182/234, d=0.684, g=0.707\n",
            ">85, 183/234, d=0.694, g=0.701\n",
            ">85, 184/234, d=0.692, g=0.701\n",
            ">85, 185/234, d=0.687, g=0.708\n",
            ">85, 186/234, d=0.694, g=0.710\n",
            ">85, 187/234, d=0.683, g=0.713\n",
            ">85, 188/234, d=0.689, g=0.709\n",
            ">85, 189/234, d=0.692, g=0.706\n",
            ">85, 190/234, d=0.696, g=0.690\n",
            ">85, 191/234, d=0.685, g=0.699\n",
            ">85, 192/234, d=0.690, g=0.695\n",
            ">85, 193/234, d=0.688, g=0.712\n",
            ">85, 194/234, d=0.692, g=0.709\n",
            ">85, 195/234, d=0.686, g=0.712\n",
            ">85, 196/234, d=0.689, g=0.698\n",
            ">85, 197/234, d=0.687, g=0.705\n",
            ">85, 198/234, d=0.690, g=0.722\n",
            ">85, 199/234, d=0.696, g=0.707\n",
            ">85, 200/234, d=0.692, g=0.719\n",
            ">85, 201/234, d=0.684, g=0.701\n",
            ">85, 202/234, d=0.695, g=0.697\n",
            ">85, 203/234, d=0.690, g=0.697\n",
            ">85, 204/234, d=0.683, g=0.692\n",
            ">85, 205/234, d=0.685, g=0.692\n",
            ">85, 206/234, d=0.690, g=0.702\n",
            ">85, 207/234, d=0.684, g=0.690\n",
            ">85, 208/234, d=0.693, g=0.697\n",
            ">85, 209/234, d=0.693, g=0.712\n",
            ">85, 210/234, d=0.685, g=0.731\n",
            ">85, 211/234, d=0.697, g=0.718\n",
            ">85, 212/234, d=0.691, g=0.728\n",
            ">85, 213/234, d=0.685, g=0.699\n",
            ">85, 214/234, d=0.690, g=0.689\n",
            ">85, 215/234, d=0.680, g=0.672\n",
            ">85, 216/234, d=0.690, g=0.694\n",
            ">85, 217/234, d=0.694, g=0.712\n",
            ">85, 218/234, d=0.684, g=0.706\n",
            ">85, 219/234, d=0.684, g=0.705\n",
            ">85, 220/234, d=0.695, g=0.719\n",
            ">85, 221/234, d=0.685, g=0.705\n",
            ">85, 222/234, d=0.680, g=0.709\n",
            ">85, 223/234, d=0.696, g=0.693\n",
            ">85, 224/234, d=0.686, g=0.708\n",
            ">85, 225/234, d=0.687, g=0.706\n",
            ">85, 226/234, d=0.688, g=0.707\n",
            ">85, 227/234, d=0.700, g=0.702\n",
            ">85, 228/234, d=0.689, g=0.682\n",
            ">85, 229/234, d=0.689, g=0.692\n",
            ">85, 230/234, d=0.689, g=0.702\n",
            ">85, 231/234, d=0.687, g=0.707\n",
            ">85, 232/234, d=0.684, g=0.720\n",
            ">85, 233/234, d=0.685, g=0.707\n",
            ">85, 234/234, d=0.687, g=0.693\n",
            ">86, 1/234, d=0.674, g=0.707\n",
            ">86, 2/234, d=0.690, g=0.706\n",
            ">86, 3/234, d=0.683, g=0.714\n",
            ">86, 4/234, d=0.684, g=0.708\n",
            ">86, 5/234, d=0.691, g=0.710\n",
            ">86, 6/234, d=0.682, g=0.703\n",
            ">86, 7/234, d=0.691, g=0.714\n",
            ">86, 8/234, d=0.687, g=0.710\n",
            ">86, 9/234, d=0.697, g=0.707\n",
            ">86, 10/234, d=0.689, g=0.703\n",
            ">86, 11/234, d=0.695, g=0.692\n",
            ">86, 12/234, d=0.699, g=0.698\n",
            ">86, 13/234, d=0.678, g=0.710\n",
            ">86, 14/234, d=0.688, g=0.711\n",
            ">86, 15/234, d=0.687, g=0.708\n",
            ">86, 16/234, d=0.693, g=0.704\n",
            ">86, 17/234, d=0.685, g=0.687\n",
            ">86, 18/234, d=0.684, g=0.691\n",
            ">86, 19/234, d=0.691, g=0.707\n",
            ">86, 20/234, d=0.684, g=0.708\n",
            ">86, 21/234, d=0.690, g=0.725\n",
            ">86, 22/234, d=0.680, g=0.704\n",
            ">86, 23/234, d=0.690, g=0.695\n",
            ">86, 24/234, d=0.692, g=0.691\n",
            ">86, 25/234, d=0.686, g=0.690\n",
            ">86, 26/234, d=0.689, g=0.709\n",
            ">86, 27/234, d=0.686, g=0.721\n",
            ">86, 28/234, d=0.689, g=0.723\n",
            ">86, 29/234, d=0.693, g=0.711\n",
            ">86, 30/234, d=0.688, g=0.693\n",
            ">86, 31/234, d=0.688, g=0.681\n",
            ">86, 32/234, d=0.695, g=0.689\n",
            ">86, 33/234, d=0.692, g=0.715\n",
            ">86, 34/234, d=0.683, g=0.734\n",
            ">86, 35/234, d=0.684, g=0.721\n",
            ">86, 36/234, d=0.684, g=0.702\n",
            ">86, 37/234, d=0.683, g=0.681\n",
            ">86, 38/234, d=0.691, g=0.694\n",
            ">86, 39/234, d=0.690, g=0.707\n",
            ">86, 40/234, d=0.686, g=0.702\n",
            ">86, 41/234, d=0.687, g=0.691\n",
            ">86, 42/234, d=0.687, g=0.718\n",
            ">86, 43/234, d=0.685, g=0.715\n",
            ">86, 44/234, d=0.686, g=0.717\n",
            ">86, 45/234, d=0.691, g=0.703\n",
            ">86, 46/234, d=0.688, g=0.703\n",
            ">86, 47/234, d=0.686, g=0.702\n",
            ">86, 48/234, d=0.678, g=0.710\n",
            ">86, 49/234, d=0.692, g=0.713\n",
            ">86, 50/234, d=0.696, g=0.709\n",
            ">86, 51/234, d=0.691, g=0.705\n",
            ">86, 52/234, d=0.684, g=0.706\n",
            ">86, 53/234, d=0.689, g=0.695\n",
            ">86, 54/234, d=0.690, g=0.698\n",
            ">86, 55/234, d=0.677, g=0.717\n",
            ">86, 56/234, d=0.691, g=0.710\n",
            ">86, 57/234, d=0.693, g=0.700\n",
            ">86, 58/234, d=0.687, g=0.700\n",
            ">86, 59/234, d=0.685, g=0.710\n",
            ">86, 60/234, d=0.686, g=0.701\n",
            ">86, 61/234, d=0.683, g=0.693\n",
            ">86, 62/234, d=0.685, g=0.697\n",
            ">86, 63/234, d=0.690, g=0.708\n",
            ">86, 64/234, d=0.693, g=0.704\n",
            ">86, 65/234, d=0.688, g=0.701\n",
            ">86, 66/234, d=0.691, g=0.704\n",
            ">86, 67/234, d=0.693, g=0.714\n",
            ">86, 68/234, d=0.693, g=0.707\n",
            ">86, 69/234, d=0.686, g=0.694\n",
            ">86, 70/234, d=0.693, g=0.687\n",
            ">86, 71/234, d=0.686, g=0.689\n",
            ">86, 72/234, d=0.683, g=0.697\n",
            ">86, 73/234, d=0.693, g=0.701\n",
            ">86, 74/234, d=0.685, g=0.699\n",
            ">86, 75/234, d=0.688, g=0.702\n",
            ">86, 76/234, d=0.697, g=0.697\n",
            ">86, 77/234, d=0.686, g=0.716\n",
            ">86, 78/234, d=0.694, g=0.723\n",
            ">86, 79/234, d=0.691, g=0.712\n",
            ">86, 80/234, d=0.687, g=0.716\n",
            ">86, 81/234, d=0.685, g=0.694\n",
            ">86, 82/234, d=0.690, g=0.687\n",
            ">86, 83/234, d=0.692, g=0.701\n",
            ">86, 84/234, d=0.685, g=0.704\n",
            ">86, 85/234, d=0.693, g=0.696\n",
            ">86, 86/234, d=0.681, g=0.705\n",
            ">86, 87/234, d=0.691, g=0.704\n",
            ">86, 88/234, d=0.693, g=0.718\n",
            ">86, 89/234, d=0.682, g=0.713\n",
            ">86, 90/234, d=0.680, g=0.719\n",
            ">86, 91/234, d=0.687, g=0.706\n",
            ">86, 92/234, d=0.693, g=0.690\n",
            ">86, 93/234, d=0.688, g=0.705\n",
            ">86, 94/234, d=0.687, g=0.711\n",
            ">86, 95/234, d=0.697, g=0.708\n",
            ">86, 96/234, d=0.687, g=0.710\n",
            ">86, 97/234, d=0.685, g=0.695\n",
            ">86, 98/234, d=0.687, g=0.695\n",
            ">86, 99/234, d=0.686, g=0.701\n",
            ">86, 100/234, d=0.683, g=0.702\n",
            ">86, 101/234, d=0.696, g=0.695\n",
            ">86, 102/234, d=0.690, g=0.686\n",
            ">86, 103/234, d=0.688, g=0.710\n",
            ">86, 104/234, d=0.689, g=0.714\n",
            ">86, 105/234, d=0.698, g=0.713\n",
            ">86, 106/234, d=0.686, g=0.719\n",
            ">86, 107/234, d=0.686, g=0.701\n",
            ">86, 108/234, d=0.684, g=0.696\n",
            ">86, 109/234, d=0.689, g=0.692\n",
            ">86, 110/234, d=0.687, g=0.691\n",
            ">86, 111/234, d=0.678, g=0.692\n",
            ">86, 112/234, d=0.681, g=0.704\n",
            ">86, 113/234, d=0.691, g=0.723\n",
            ">86, 114/234, d=0.687, g=0.730\n",
            ">86, 115/234, d=0.682, g=0.723\n",
            ">86, 116/234, d=0.694, g=0.709\n",
            ">86, 117/234, d=0.681, g=0.692\n",
            ">86, 118/234, d=0.691, g=0.674\n",
            ">86, 119/234, d=0.694, g=0.691\n",
            ">86, 120/234, d=0.684, g=0.706\n",
            ">86, 121/234, d=0.691, g=0.722\n",
            ">86, 122/234, d=0.684, g=0.704\n",
            ">86, 123/234, d=0.690, g=0.712\n",
            ">86, 124/234, d=0.696, g=0.708\n",
            ">86, 125/234, d=0.688, g=0.704\n",
            ">86, 126/234, d=0.695, g=0.700\n",
            ">86, 127/234, d=0.687, g=0.707\n",
            ">86, 128/234, d=0.691, g=0.715\n",
            ">86, 129/234, d=0.691, g=0.714\n",
            ">86, 130/234, d=0.695, g=0.712\n",
            ">86, 131/234, d=0.686, g=0.711\n",
            ">86, 132/234, d=0.681, g=0.707\n",
            ">86, 133/234, d=0.689, g=0.694\n",
            ">86, 134/234, d=0.684, g=0.697\n",
            ">86, 135/234, d=0.690, g=0.690\n",
            ">86, 136/234, d=0.679, g=0.697\n",
            ">86, 137/234, d=0.686, g=0.699\n",
            ">86, 138/234, d=0.682, g=0.707\n",
            ">86, 139/234, d=0.698, g=0.697\n",
            ">86, 140/234, d=0.686, g=0.710\n",
            ">86, 141/234, d=0.683, g=0.714\n",
            ">86, 142/234, d=0.690, g=0.728\n",
            ">86, 143/234, d=0.698, g=0.709\n",
            ">86, 144/234, d=0.689, g=0.709\n",
            ">86, 145/234, d=0.689, g=0.706\n",
            ">86, 146/234, d=0.693, g=0.698\n",
            ">86, 147/234, d=0.681, g=0.701\n",
            ">86, 148/234, d=0.691, g=0.703\n",
            ">86, 149/234, d=0.688, g=0.700\n",
            ">86, 150/234, d=0.697, g=0.706\n",
            ">86, 151/234, d=0.687, g=0.703\n",
            ">86, 152/234, d=0.689, g=0.689\n",
            ">86, 153/234, d=0.697, g=0.678\n",
            ">86, 154/234, d=0.684, g=0.696\n",
            ">86, 155/234, d=0.691, g=0.719\n",
            ">86, 156/234, d=0.692, g=0.729\n",
            ">86, 157/234, d=0.690, g=0.732\n",
            ">86, 158/234, d=0.685, g=0.721\n",
            ">86, 159/234, d=0.680, g=0.709\n",
            ">86, 160/234, d=0.687, g=0.696\n",
            ">86, 161/234, d=0.689, g=0.690\n",
            ">86, 162/234, d=0.685, g=0.696\n",
            ">86, 163/234, d=0.693, g=0.700\n",
            ">86, 164/234, d=0.690, g=0.718\n",
            ">86, 165/234, d=0.679, g=0.718\n",
            ">86, 166/234, d=0.685, g=0.714\n",
            ">86, 167/234, d=0.691, g=0.697\n",
            ">86, 168/234, d=0.687, g=0.694\n",
            ">86, 169/234, d=0.691, g=0.699\n",
            ">86, 170/234, d=0.688, g=0.712\n",
            ">86, 171/234, d=0.689, g=0.714\n",
            ">86, 172/234, d=0.691, g=0.695\n",
            ">86, 173/234, d=0.686, g=0.694\n",
            ">86, 174/234, d=0.688, g=0.704\n",
            ">86, 175/234, d=0.696, g=0.701\n",
            ">86, 176/234, d=0.683, g=0.721\n",
            ">86, 177/234, d=0.693, g=0.710\n",
            ">86, 178/234, d=0.689, g=0.712\n",
            ">86, 179/234, d=0.698, g=0.691\n",
            ">86, 180/234, d=0.680, g=0.685\n",
            ">86, 181/234, d=0.682, g=0.694\n",
            ">86, 182/234, d=0.689, g=0.702\n",
            ">86, 183/234, d=0.693, g=0.694\n",
            ">86, 184/234, d=0.683, g=0.705\n",
            ">86, 185/234, d=0.688, g=0.706\n",
            ">86, 186/234, d=0.691, g=0.717\n",
            ">86, 187/234, d=0.691, g=0.696\n",
            ">86, 188/234, d=0.688, g=0.704\n",
            ">86, 189/234, d=0.699, g=0.692\n",
            ">86, 190/234, d=0.699, g=0.696\n",
            ">86, 191/234, d=0.689, g=0.698\n",
            ">86, 192/234, d=0.697, g=0.717\n",
            ">86, 193/234, d=0.687, g=0.714\n",
            ">86, 194/234, d=0.690, g=0.711\n",
            ">86, 195/234, d=0.684, g=0.693\n",
            ">86, 196/234, d=0.694, g=0.681\n",
            ">86, 197/234, d=0.690, g=0.709\n",
            ">86, 198/234, d=0.691, g=0.721\n",
            ">86, 199/234, d=0.683, g=0.728\n",
            ">86, 200/234, d=0.685, g=0.713\n",
            ">86, 201/234, d=0.690, g=0.693\n",
            ">86, 202/234, d=0.693, g=0.700\n",
            ">86, 203/234, d=0.691, g=0.681\n",
            ">86, 204/234, d=0.682, g=0.701\n",
            ">86, 205/234, d=0.693, g=0.714\n",
            ">86, 206/234, d=0.696, g=0.711\n",
            ">86, 207/234, d=0.682, g=0.716\n",
            ">86, 208/234, d=0.695, g=0.703\n",
            ">86, 209/234, d=0.692, g=0.687\n",
            ">86, 210/234, d=0.685, g=0.699\n",
            ">86, 211/234, d=0.691, g=0.707\n",
            ">86, 212/234, d=0.680, g=0.717\n",
            ">86, 213/234, d=0.685, g=0.714\n",
            ">86, 214/234, d=0.688, g=0.714\n",
            ">86, 215/234, d=0.699, g=0.709\n",
            ">86, 216/234, d=0.681, g=0.708\n",
            ">86, 217/234, d=0.688, g=0.697\n",
            ">86, 218/234, d=0.683, g=0.689\n",
            ">86, 219/234, d=0.698, g=0.697\n",
            ">86, 220/234, d=0.687, g=0.700\n",
            ">86, 221/234, d=0.685, g=0.701\n",
            ">86, 222/234, d=0.688, g=0.691\n",
            ">86, 223/234, d=0.691, g=0.706\n",
            ">86, 224/234, d=0.688, g=0.716\n",
            ">86, 225/234, d=0.693, g=0.724\n",
            ">86, 226/234, d=0.689, g=0.721\n",
            ">86, 227/234, d=0.700, g=0.712\n",
            ">86, 228/234, d=0.683, g=0.703\n",
            ">86, 229/234, d=0.695, g=0.693\n",
            ">86, 230/234, d=0.687, g=0.695\n",
            ">86, 231/234, d=0.684, g=0.694\n",
            ">86, 232/234, d=0.692, g=0.705\n",
            ">86, 233/234, d=0.685, g=0.708\n",
            ">86, 234/234, d=0.683, g=0.695\n",
            ">87, 1/234, d=0.678, g=0.699\n",
            ">87, 2/234, d=0.691, g=0.701\n",
            ">87, 3/234, d=0.694, g=0.697\n",
            ">87, 4/234, d=0.683, g=0.698\n",
            ">87, 5/234, d=0.689, g=0.707\n",
            ">87, 6/234, d=0.692, g=0.710\n",
            ">87, 7/234, d=0.689, g=0.730\n",
            ">87, 8/234, d=0.687, g=0.717\n",
            ">87, 9/234, d=0.694, g=0.710\n",
            ">87, 10/234, d=0.682, g=0.699\n",
            ">87, 11/234, d=0.688, g=0.700\n",
            ">87, 12/234, d=0.680, g=0.707\n",
            ">87, 13/234, d=0.677, g=0.702\n",
            ">87, 14/234, d=0.695, g=0.694\n",
            ">87, 15/234, d=0.690, g=0.691\n",
            ">87, 16/234, d=0.684, g=0.698\n",
            ">87, 17/234, d=0.686, g=0.701\n",
            ">87, 18/234, d=0.694, g=0.713\n",
            ">87, 19/234, d=0.686, g=0.707\n",
            ">87, 20/234, d=0.688, g=0.704\n",
            ">87, 21/234, d=0.688, g=0.683\n",
            ">87, 22/234, d=0.697, g=0.690\n",
            ">87, 23/234, d=0.688, g=0.699\n",
            ">87, 24/234, d=0.692, g=0.708\n",
            ">87, 25/234, d=0.693, g=0.705\n",
            ">87, 26/234, d=0.687, g=0.705\n",
            ">87, 27/234, d=0.692, g=0.703\n",
            ">87, 28/234, d=0.686, g=0.705\n",
            ">87, 29/234, d=0.686, g=0.710\n",
            ">87, 30/234, d=0.698, g=0.694\n",
            ">87, 31/234, d=0.695, g=0.710\n",
            ">87, 32/234, d=0.687, g=0.702\n",
            ">87, 33/234, d=0.698, g=0.684\n",
            ">87, 34/234, d=0.681, g=0.691\n",
            ">87, 35/234, d=0.694, g=0.705\n",
            ">87, 36/234, d=0.696, g=0.715\n",
            ">87, 37/234, d=0.683, g=0.717\n",
            ">87, 38/234, d=0.691, g=0.721\n",
            ">87, 39/234, d=0.695, g=0.718\n",
            ">87, 40/234, d=0.702, g=0.714\n",
            ">87, 41/234, d=0.691, g=0.705\n",
            ">87, 42/234, d=0.690, g=0.705\n",
            ">87, 43/234, d=0.691, g=0.702\n",
            ">87, 44/234, d=0.687, g=0.688\n",
            ">87, 45/234, d=0.693, g=0.697\n",
            ">87, 46/234, d=0.693, g=0.699\n",
            ">87, 47/234, d=0.688, g=0.708\n",
            ">87, 48/234, d=0.692, g=0.706\n",
            ">87, 49/234, d=0.692, g=0.701\n",
            ">87, 50/234, d=0.681, g=0.705\n",
            ">87, 51/234, d=0.700, g=0.705\n",
            ">87, 52/234, d=0.693, g=0.705\n",
            ">87, 53/234, d=0.686, g=0.725\n",
            ">87, 54/234, d=0.688, g=0.729\n",
            ">87, 55/234, d=0.690, g=0.703\n",
            ">87, 56/234, d=0.691, g=0.701\n",
            ">87, 57/234, d=0.693, g=0.688\n",
            ">87, 58/234, d=0.683, g=0.690\n",
            ">87, 59/234, d=0.689, g=0.703\n",
            ">87, 60/234, d=0.693, g=0.707\n",
            ">87, 61/234, d=0.692, g=0.709\n",
            ">87, 62/234, d=0.695, g=0.721\n",
            ">87, 63/234, d=0.686, g=0.708\n",
            ">87, 64/234, d=0.687, g=0.714\n",
            ">87, 65/234, d=0.684, g=0.705\n",
            ">87, 66/234, d=0.689, g=0.691\n",
            ">87, 67/234, d=0.691, g=0.702\n",
            ">87, 68/234, d=0.679, g=0.707\n",
            ">87, 69/234, d=0.693, g=0.716\n",
            ">87, 70/234, d=0.691, g=0.713\n",
            ">87, 71/234, d=0.680, g=0.708\n",
            ">87, 72/234, d=0.681, g=0.708\n",
            ">87, 73/234, d=0.688, g=0.716\n",
            ">87, 74/234, d=0.685, g=0.716\n",
            ">87, 75/234, d=0.693, g=0.714\n",
            ">87, 76/234, d=0.688, g=0.717\n",
            ">87, 77/234, d=0.693, g=0.728\n",
            ">87, 78/234, d=0.690, g=0.707\n",
            ">87, 79/234, d=0.688, g=0.686\n",
            ">87, 80/234, d=0.698, g=0.696\n",
            ">87, 81/234, d=0.685, g=0.692\n",
            ">87, 82/234, d=0.690, g=0.704\n",
            ">87, 83/234, d=0.685, g=0.690\n",
            ">87, 84/234, d=0.689, g=0.707\n",
            ">87, 85/234, d=0.688, g=0.714\n",
            ">87, 86/234, d=0.689, g=0.711\n",
            ">87, 87/234, d=0.690, g=0.700\n",
            ">87, 88/234, d=0.694, g=0.689\n",
            ">87, 89/234, d=0.690, g=0.692\n",
            ">87, 90/234, d=0.692, g=0.705\n",
            ">87, 91/234, d=0.685, g=0.713\n",
            ">87, 92/234, d=0.680, g=0.714\n",
            ">87, 93/234, d=0.693, g=0.725\n",
            ">87, 94/234, d=0.694, g=0.713\n",
            ">87, 95/234, d=0.683, g=0.695\n",
            ">87, 96/234, d=0.680, g=0.691\n",
            ">87, 97/234, d=0.694, g=0.715\n",
            ">87, 98/234, d=0.683, g=0.709\n",
            ">87, 99/234, d=0.699, g=0.718\n",
            ">87, 100/234, d=0.691, g=0.698\n",
            ">87, 101/234, d=0.694, g=0.700\n",
            ">87, 102/234, d=0.690, g=0.703\n",
            ">87, 103/234, d=0.688, g=0.706\n",
            ">87, 104/234, d=0.684, g=0.705\n",
            ">87, 105/234, d=0.686, g=0.704\n",
            ">87, 106/234, d=0.691, g=0.697\n",
            ">87, 107/234, d=0.679, g=0.687\n",
            ">87, 108/234, d=0.687, g=0.697\n",
            ">87, 109/234, d=0.684, g=0.706\n",
            ">87, 110/234, d=0.686, g=0.713\n",
            ">87, 111/234, d=0.690, g=0.700\n",
            ">87, 112/234, d=0.695, g=0.700\n",
            ">87, 113/234, d=0.693, g=0.711\n",
            ">87, 114/234, d=0.688, g=0.708\n",
            ">87, 115/234, d=0.690, g=0.715\n",
            ">87, 116/234, d=0.678, g=0.718\n",
            ">87, 117/234, d=0.687, g=0.718\n",
            ">87, 118/234, d=0.679, g=0.713\n",
            ">87, 119/234, d=0.688, g=0.713\n",
            ">87, 120/234, d=0.692, g=0.709\n",
            ">87, 121/234, d=0.693, g=0.705\n",
            ">87, 122/234, d=0.679, g=0.700\n",
            ">87, 123/234, d=0.684, g=0.692\n",
            ">87, 124/234, d=0.689, g=0.700\n",
            ">87, 125/234, d=0.696, g=0.705\n",
            ">87, 126/234, d=0.689, g=0.711\n",
            ">87, 127/234, d=0.696, g=0.708\n",
            ">87, 128/234, d=0.696, g=0.705\n",
            ">87, 129/234, d=0.686, g=0.720\n",
            ">87, 130/234, d=0.695, g=0.704\n",
            ">87, 131/234, d=0.684, g=0.712\n",
            ">87, 132/234, d=0.695, g=0.719\n",
            ">87, 133/234, d=0.684, g=0.714\n",
            ">87, 134/234, d=0.697, g=0.711\n",
            ">87, 135/234, d=0.688, g=0.697\n",
            ">87, 136/234, d=0.680, g=0.697\n",
            ">87, 137/234, d=0.689, g=0.706\n",
            ">87, 138/234, d=0.695, g=0.724\n",
            ">87, 139/234, d=0.696, g=0.716\n",
            ">87, 140/234, d=0.693, g=0.721\n",
            ">87, 141/234, d=0.690, g=0.710\n",
            ">87, 142/234, d=0.693, g=0.708\n",
            ">87, 143/234, d=0.687, g=0.702\n",
            ">87, 144/234, d=0.691, g=0.709\n",
            ">87, 145/234, d=0.685, g=0.704\n",
            ">87, 146/234, d=0.688, g=0.696\n",
            ">87, 147/234, d=0.685, g=0.695\n",
            ">87, 148/234, d=0.687, g=0.699\n",
            ">87, 149/234, d=0.685, g=0.722\n",
            ">87, 150/234, d=0.693, g=0.729\n",
            ">87, 151/234, d=0.687, g=0.735\n",
            ">87, 152/234, d=0.696, g=0.725\n",
            ">87, 153/234, d=0.686, g=0.714\n",
            ">87, 154/234, d=0.694, g=0.696\n",
            ">87, 155/234, d=0.687, g=0.695\n",
            ">87, 156/234, d=0.695, g=0.698\n",
            ">87, 157/234, d=0.686, g=0.696\n",
            ">87, 158/234, d=0.691, g=0.708\n",
            ">87, 159/234, d=0.686, g=0.702\n",
            ">87, 160/234, d=0.695, g=0.716\n",
            ">87, 161/234, d=0.694, g=0.712\n",
            ">87, 162/234, d=0.690, g=0.717\n",
            ">87, 163/234, d=0.688, g=0.708\n",
            ">87, 164/234, d=0.693, g=0.686\n",
            ">87, 165/234, d=0.679, g=0.689\n",
            ">87, 166/234, d=0.682, g=0.701\n",
            ">87, 167/234, d=0.693, g=0.697\n",
            ">87, 168/234, d=0.682, g=0.704\n",
            ">87, 169/234, d=0.686, g=0.692\n",
            ">87, 170/234, d=0.685, g=0.689\n",
            ">87, 171/234, d=0.680, g=0.693\n",
            ">87, 172/234, d=0.697, g=0.698\n",
            ">87, 173/234, d=0.691, g=0.709\n",
            ">87, 174/234, d=0.687, g=0.708\n",
            ">87, 175/234, d=0.690, g=0.725\n",
            ">87, 176/234, d=0.697, g=0.715\n",
            ">87, 177/234, d=0.697, g=0.709\n",
            ">87, 178/234, d=0.691, g=0.703\n",
            ">87, 179/234, d=0.692, g=0.714\n",
            ">87, 180/234, d=0.686, g=0.723\n",
            ">87, 181/234, d=0.694, g=0.716\n",
            ">87, 182/234, d=0.681, g=0.693\n",
            ">87, 183/234, d=0.689, g=0.693\n",
            ">87, 184/234, d=0.686, g=0.685\n",
            ">87, 185/234, d=0.681, g=0.678\n",
            ">87, 186/234, d=0.685, g=0.674\n",
            ">87, 187/234, d=0.689, g=0.696\n",
            ">87, 188/234, d=0.694, g=0.720\n",
            ">87, 189/234, d=0.692, g=0.734\n",
            ">87, 190/234, d=0.689, g=0.728\n",
            ">87, 191/234, d=0.677, g=0.713\n",
            ">87, 192/234, d=0.682, g=0.693\n",
            ">87, 193/234, d=0.688, g=0.690\n",
            ">87, 194/234, d=0.685, g=0.708\n",
            ">87, 195/234, d=0.682, g=0.711\n",
            ">87, 196/234, d=0.694, g=0.702\n",
            ">87, 197/234, d=0.683, g=0.697\n",
            ">87, 198/234, d=0.688, g=0.695\n",
            ">87, 199/234, d=0.687, g=0.713\n",
            ">87, 200/234, d=0.686, g=0.710\n",
            ">87, 201/234, d=0.692, g=0.713\n",
            ">87, 202/234, d=0.699, g=0.706\n",
            ">87, 203/234, d=0.691, g=0.704\n",
            ">87, 204/234, d=0.686, g=0.708\n",
            ">87, 205/234, d=0.689, g=0.717\n",
            ">87, 206/234, d=0.690, g=0.699\n",
            ">87, 207/234, d=0.686, g=0.695\n",
            ">87, 208/234, d=0.690, g=0.711\n",
            ">87, 209/234, d=0.685, g=0.704\n",
            ">87, 210/234, d=0.685, g=0.718\n",
            ">87, 211/234, d=0.692, g=0.707\n",
            ">87, 212/234, d=0.686, g=0.687\n",
            ">87, 213/234, d=0.687, g=0.691\n",
            ">87, 214/234, d=0.688, g=0.688\n",
            ">87, 215/234, d=0.681, g=0.686\n",
            ">87, 216/234, d=0.686, g=0.700\n",
            ">87, 217/234, d=0.692, g=0.710\n",
            ">87, 218/234, d=0.692, g=0.715\n",
            ">87, 219/234, d=0.694, g=0.719\n",
            ">87, 220/234, d=0.686, g=0.731\n",
            ">87, 221/234, d=0.678, g=0.711\n",
            ">87, 222/234, d=0.686, g=0.708\n",
            ">87, 223/234, d=0.693, g=0.700\n",
            ">87, 224/234, d=0.687, g=0.687\n",
            ">87, 225/234, d=0.679, g=0.679\n",
            ">87, 226/234, d=0.688, g=0.692\n",
            ">87, 227/234, d=0.691, g=0.716\n",
            ">87, 228/234, d=0.693, g=0.706\n",
            ">87, 229/234, d=0.695, g=0.712\n",
            ">87, 230/234, d=0.686, g=0.686\n",
            ">87, 231/234, d=0.686, g=0.682\n",
            ">87, 232/234, d=0.684, g=0.697\n",
            ">87, 233/234, d=0.693, g=0.718\n",
            ">87, 234/234, d=0.698, g=0.721\n",
            ">88, 1/234, d=0.687, g=0.726\n",
            ">88, 2/234, d=0.695, g=0.733\n",
            ">88, 3/234, d=0.694, g=0.717\n",
            ">88, 4/234, d=0.690, g=0.701\n",
            ">88, 5/234, d=0.687, g=0.685\n",
            ">88, 6/234, d=0.702, g=0.695\n",
            ">88, 7/234, d=0.681, g=0.694\n",
            ">88, 8/234, d=0.691, g=0.704\n",
            ">88, 9/234, d=0.695, g=0.702\n",
            ">88, 10/234, d=0.683, g=0.712\n",
            ">88, 11/234, d=0.688, g=0.714\n",
            ">88, 12/234, d=0.687, g=0.719\n",
            ">88, 13/234, d=0.682, g=0.725\n",
            ">88, 14/234, d=0.686, g=0.711\n",
            ">88, 15/234, d=0.693, g=0.698\n",
            ">88, 16/234, d=0.688, g=0.691\n",
            ">88, 17/234, d=0.687, g=0.690\n",
            ">88, 18/234, d=0.689, g=0.697\n",
            ">88, 19/234, d=0.681, g=0.703\n",
            ">88, 20/234, d=0.687, g=0.708\n",
            ">88, 21/234, d=0.689, g=0.713\n",
            ">88, 22/234, d=0.686, g=0.693\n",
            ">88, 23/234, d=0.685, g=0.697\n",
            ">88, 24/234, d=0.694, g=0.700\n",
            ">88, 25/234, d=0.685, g=0.705\n",
            ">88, 26/234, d=0.689, g=0.713\n",
            ">88, 27/234, d=0.683, g=0.708\n",
            ">88, 28/234, d=0.686, g=0.706\n",
            ">88, 29/234, d=0.690, g=0.695\n",
            ">88, 30/234, d=0.684, g=0.698\n",
            ">88, 31/234, d=0.687, g=0.695\n",
            ">88, 32/234, d=0.693, g=0.703\n",
            ">88, 33/234, d=0.693, g=0.694\n",
            ">88, 34/234, d=0.693, g=0.694\n",
            ">88, 35/234, d=0.688, g=0.699\n",
            ">88, 36/234, d=0.696, g=0.704\n",
            ">88, 37/234, d=0.691, g=0.710\n",
            ">88, 38/234, d=0.682, g=0.706\n",
            ">88, 39/234, d=0.692, g=0.695\n",
            ">88, 40/234, d=0.696, g=0.715\n",
            ">88, 41/234, d=0.688, g=0.723\n",
            ">88, 42/234, d=0.685, g=0.730\n",
            ">88, 43/234, d=0.690, g=0.711\n",
            ">88, 44/234, d=0.691, g=0.699\n",
            ">88, 45/234, d=0.691, g=0.696\n",
            ">88, 46/234, d=0.681, g=0.685\n",
            ">88, 47/234, d=0.691, g=0.689\n",
            ">88, 48/234, d=0.690, g=0.688\n",
            ">88, 49/234, d=0.689, g=0.692\n",
            ">88, 50/234, d=0.696, g=0.705\n",
            ">88, 51/234, d=0.686, g=0.703\n",
            ">88, 52/234, d=0.695, g=0.721\n",
            ">88, 53/234, d=0.687, g=0.723\n",
            ">88, 54/234, d=0.679, g=0.711\n",
            ">88, 55/234, d=0.685, g=0.698\n",
            ">88, 56/234, d=0.686, g=0.687\n",
            ">88, 57/234, d=0.693, g=0.688\n",
            ">88, 58/234, d=0.685, g=0.705\n",
            ">88, 59/234, d=0.698, g=0.722\n",
            ">88, 60/234, d=0.691, g=0.737\n",
            ">88, 61/234, d=0.691, g=0.725\n",
            ">88, 62/234, d=0.684, g=0.710\n",
            ">88, 63/234, d=0.691, g=0.698\n",
            ">88, 64/234, d=0.688, g=0.696\n",
            ">88, 65/234, d=0.684, g=0.693\n",
            ">88, 66/234, d=0.678, g=0.713\n",
            ">88, 67/234, d=0.691, g=0.723\n",
            ">88, 68/234, d=0.690, g=0.722\n",
            ">88, 69/234, d=0.700, g=0.712\n",
            ">88, 70/234, d=0.684, g=0.694\n",
            ">88, 71/234, d=0.693, g=0.686\n",
            ">88, 72/234, d=0.693, g=0.695\n",
            ">88, 73/234, d=0.688, g=0.706\n",
            ">88, 74/234, d=0.684, g=0.710\n",
            ">88, 75/234, d=0.695, g=0.703\n",
            ">88, 76/234, d=0.691, g=0.695\n",
            ">88, 77/234, d=0.682, g=0.705\n",
            ">88, 78/234, d=0.694, g=0.703\n",
            ">88, 79/234, d=0.700, g=0.711\n",
            ">88, 80/234, d=0.684, g=0.698\n",
            ">88, 81/234, d=0.691, g=0.705\n",
            ">88, 82/234, d=0.692, g=0.712\n",
            ">88, 83/234, d=0.685, g=0.699\n",
            ">88, 84/234, d=0.697, g=0.705\n",
            ">88, 85/234, d=0.691, g=0.710\n",
            ">88, 86/234, d=0.686, g=0.706\n",
            ">88, 87/234, d=0.696, g=0.699\n",
            ">88, 88/234, d=0.681, g=0.712\n",
            ">88, 89/234, d=0.688, g=0.715\n",
            ">88, 90/234, d=0.690, g=0.708\n",
            ">88, 91/234, d=0.696, g=0.702\n",
            ">88, 92/234, d=0.694, g=0.706\n",
            ">88, 93/234, d=0.689, g=0.700\n",
            ">88, 94/234, d=0.691, g=0.703\n",
            ">88, 95/234, d=0.688, g=0.696\n",
            ">88, 96/234, d=0.688, g=0.691\n",
            ">88, 97/234, d=0.687, g=0.696\n",
            ">88, 98/234, d=0.686, g=0.707\n",
            ">88, 99/234, d=0.700, g=0.717\n",
            ">88, 100/234, d=0.678, g=0.722\n",
            ">88, 101/234, d=0.686, g=0.719\n",
            ">88, 102/234, d=0.685, g=0.694\n",
            ">88, 103/234, d=0.691, g=0.693\n",
            ">88, 104/234, d=0.698, g=0.685\n",
            ">88, 105/234, d=0.682, g=0.687\n",
            ">88, 106/234, d=0.682, g=0.709\n",
            ">88, 107/234, d=0.695, g=0.709\n",
            ">88, 108/234, d=0.687, g=0.705\n",
            ">88, 109/234, d=0.697, g=0.692\n",
            ">88, 110/234, d=0.689, g=0.694\n",
            ">88, 111/234, d=0.684, g=0.692\n",
            ">88, 112/234, d=0.692, g=0.703\n",
            ">88, 113/234, d=0.679, g=0.720\n",
            ">88, 114/234, d=0.689, g=0.716\n",
            ">88, 115/234, d=0.689, g=0.714\n",
            ">88, 116/234, d=0.689, g=0.699\n",
            ">88, 117/234, d=0.682, g=0.700\n",
            ">88, 118/234, d=0.681, g=0.687\n",
            ">88, 119/234, d=0.691, g=0.685\n",
            ">88, 120/234, d=0.692, g=0.707\n",
            ">88, 121/234, d=0.687, g=0.717\n",
            ">88, 122/234, d=0.689, g=0.716\n",
            ">88, 123/234, d=0.685, g=0.710\n",
            ">88, 124/234, d=0.677, g=0.702\n",
            ">88, 125/234, d=0.692, g=0.703\n",
            ">88, 126/234, d=0.691, g=0.704\n",
            ">88, 127/234, d=0.690, g=0.712\n",
            ">88, 128/234, d=0.693, g=0.696\n",
            ">88, 129/234, d=0.697, g=0.698\n",
            ">88, 130/234, d=0.681, g=0.690\n",
            ">88, 131/234, d=0.687, g=0.705\n",
            ">88, 132/234, d=0.688, g=0.707\n",
            ">88, 133/234, d=0.682, g=0.708\n",
            ">88, 134/234, d=0.694, g=0.708\n",
            ">88, 135/234, d=0.690, g=0.707\n",
            ">88, 136/234, d=0.700, g=0.711\n",
            ">88, 137/234, d=0.698, g=0.700\n",
            ">88, 138/234, d=0.692, g=0.696\n",
            ">88, 139/234, d=0.693, g=0.708\n",
            ">88, 140/234, d=0.683, g=0.703\n",
            ">88, 141/234, d=0.693, g=0.716\n",
            ">88, 142/234, d=0.685, g=0.707\n",
            ">88, 143/234, d=0.690, g=0.701\n",
            ">88, 144/234, d=0.693, g=0.711\n",
            ">88, 145/234, d=0.684, g=0.694\n",
            ">88, 146/234, d=0.686, g=0.678\n",
            ">88, 147/234, d=0.682, g=0.688\n",
            ">88, 148/234, d=0.688, g=0.701\n",
            ">88, 149/234, d=0.692, g=0.689\n",
            ">88, 150/234, d=0.692, g=0.706\n",
            ">88, 151/234, d=0.682, g=0.718\n",
            ">88, 152/234, d=0.693, g=0.716\n",
            ">88, 153/234, d=0.687, g=0.711\n",
            ">88, 154/234, d=0.687, g=0.703\n",
            ">88, 155/234, d=0.696, g=0.686\n",
            ">88, 156/234, d=0.690, g=0.682\n",
            ">88, 157/234, d=0.690, g=0.684\n",
            ">88, 158/234, d=0.694, g=0.693\n",
            ">88, 159/234, d=0.690, g=0.699\n",
            ">88, 160/234, d=0.690, g=0.711\n",
            ">88, 161/234, d=0.690, g=0.705\n",
            ">88, 162/234, d=0.680, g=0.710\n",
            ">88, 163/234, d=0.686, g=0.719\n",
            ">88, 164/234, d=0.692, g=0.707\n",
            ">88, 165/234, d=0.696, g=0.702\n",
            ">88, 166/234, d=0.689, g=0.706\n",
            ">88, 167/234, d=0.686, g=0.699\n",
            ">88, 168/234, d=0.689, g=0.699\n",
            ">88, 169/234, d=0.690, g=0.700\n",
            ">88, 170/234, d=0.692, g=0.700\n",
            ">88, 171/234, d=0.680, g=0.707\n",
            ">88, 172/234, d=0.693, g=0.716\n",
            ">88, 173/234, d=0.688, g=0.709\n",
            ">88, 174/234, d=0.688, g=0.712\n",
            ">88, 175/234, d=0.689, g=0.706\n",
            ">88, 176/234, d=0.686, g=0.706\n",
            ">88, 177/234, d=0.685, g=0.709\n",
            ">88, 178/234, d=0.690, g=0.699\n",
            ">88, 179/234, d=0.688, g=0.692\n",
            ">88, 180/234, d=0.692, g=0.691\n",
            ">88, 181/234, d=0.690, g=0.701\n",
            ">88, 182/234, d=0.692, g=0.716\n",
            ">88, 183/234, d=0.682, g=0.721\n",
            ">88, 184/234, d=0.693, g=0.715\n",
            ">88, 185/234, d=0.687, g=0.725\n",
            ">88, 186/234, d=0.689, g=0.717\n",
            ">88, 187/234, d=0.687, g=0.708\n",
            ">88, 188/234, d=0.685, g=0.692\n",
            ">88, 189/234, d=0.694, g=0.692\n",
            ">88, 190/234, d=0.683, g=0.708\n",
            ">88, 191/234, d=0.694, g=0.710\n",
            ">88, 192/234, d=0.694, g=0.700\n",
            ">88, 193/234, d=0.684, g=0.698\n",
            ">88, 194/234, d=0.698, g=0.709\n",
            ">88, 195/234, d=0.692, g=0.702\n",
            ">88, 196/234, d=0.687, g=0.690\n",
            ">88, 197/234, d=0.681, g=0.710\n",
            ">88, 198/234, d=0.687, g=0.710\n",
            ">88, 199/234, d=0.683, g=0.694\n",
            ">88, 200/234, d=0.690, g=0.694\n",
            ">88, 201/234, d=0.690, g=0.691\n",
            ">88, 202/234, d=0.699, g=0.706\n",
            ">88, 203/234, d=0.693, g=0.714\n",
            ">88, 204/234, d=0.693, g=0.725\n",
            ">88, 205/234, d=0.694, g=0.703\n",
            ">88, 206/234, d=0.697, g=0.711\n",
            ">88, 207/234, d=0.692, g=0.694\n",
            ">88, 208/234, d=0.680, g=0.692\n",
            ">88, 209/234, d=0.694, g=0.710\n",
            ">88, 210/234, d=0.682, g=0.701\n",
            ">88, 211/234, d=0.691, g=0.701\n",
            ">88, 212/234, d=0.689, g=0.694\n",
            ">88, 213/234, d=0.686, g=0.699\n",
            ">88, 214/234, d=0.694, g=0.714\n",
            ">88, 215/234, d=0.695, g=0.705\n",
            ">88, 216/234, d=0.695, g=0.706\n",
            ">88, 217/234, d=0.686, g=0.710\n",
            ">88, 218/234, d=0.683, g=0.714\n",
            ">88, 219/234, d=0.695, g=0.699\n",
            ">88, 220/234, d=0.685, g=0.697\n",
            ">88, 221/234, d=0.690, g=0.692\n",
            ">88, 222/234, d=0.682, g=0.700\n",
            ">88, 223/234, d=0.689, g=0.699\n",
            ">88, 224/234, d=0.683, g=0.709\n",
            ">88, 225/234, d=0.686, g=0.702\n",
            ">88, 226/234, d=0.683, g=0.687\n",
            ">88, 227/234, d=0.698, g=0.703\n",
            ">88, 228/234, d=0.694, g=0.707\n",
            ">88, 229/234, d=0.685, g=0.699\n",
            ">88, 230/234, d=0.689, g=0.698\n",
            ">88, 231/234, d=0.687, g=0.701\n",
            ">88, 232/234, d=0.693, g=0.705\n",
            ">88, 233/234, d=0.690, g=0.703\n",
            ">88, 234/234, d=0.686, g=0.692\n",
            ">89, 1/234, d=0.691, g=0.710\n",
            ">89, 2/234, d=0.688, g=0.688\n",
            ">89, 3/234, d=0.693, g=0.706\n",
            ">89, 4/234, d=0.687, g=0.716\n",
            ">89, 5/234, d=0.696, g=0.707\n",
            ">89, 6/234, d=0.688, g=0.711\n",
            ">89, 7/234, d=0.688, g=0.710\n",
            ">89, 8/234, d=0.693, g=0.709\n",
            ">89, 9/234, d=0.685, g=0.715\n",
            ">89, 10/234, d=0.692, g=0.711\n",
            ">89, 11/234, d=0.686, g=0.709\n",
            ">89, 12/234, d=0.686, g=0.700\n",
            ">89, 13/234, d=0.682, g=0.696\n",
            ">89, 14/234, d=0.693, g=0.697\n",
            ">89, 15/234, d=0.690, g=0.695\n",
            ">89, 16/234, d=0.691, g=0.694\n",
            ">89, 17/234, d=0.683, g=0.708\n",
            ">89, 18/234, d=0.685, g=0.706\n",
            ">89, 19/234, d=0.684, g=0.717\n",
            ">89, 20/234, d=0.683, g=0.711\n",
            ">89, 21/234, d=0.700, g=0.708\n",
            ">89, 22/234, d=0.681, g=0.702\n",
            ">89, 23/234, d=0.689, g=0.691\n",
            ">89, 24/234, d=0.686, g=0.692\n",
            ">89, 25/234, d=0.704, g=0.705\n",
            ">89, 26/234, d=0.686, g=0.716\n",
            ">89, 27/234, d=0.685, g=0.720\n",
            ">89, 28/234, d=0.696, g=0.717\n",
            ">89, 29/234, d=0.692, g=0.715\n",
            ">89, 30/234, d=0.693, g=0.697\n",
            ">89, 31/234, d=0.687, g=0.694\n",
            ">89, 32/234, d=0.693, g=0.694\n",
            ">89, 33/234, d=0.686, g=0.697\n",
            ">89, 34/234, d=0.689, g=0.704\n",
            ">89, 35/234, d=0.682, g=0.720\n",
            ">89, 36/234, d=0.690, g=0.708\n",
            ">89, 37/234, d=0.680, g=0.705\n",
            ">89, 38/234, d=0.688, g=0.699\n",
            ">89, 39/234, d=0.685, g=0.702\n",
            ">89, 40/234, d=0.694, g=0.720\n",
            ">89, 41/234, d=0.692, g=0.704\n",
            ">89, 42/234, d=0.696, g=0.704\n",
            ">89, 43/234, d=0.682, g=0.700\n",
            ">89, 44/234, d=0.687, g=0.692\n",
            ">89, 45/234, d=0.697, g=0.706\n",
            ">89, 46/234, d=0.696, g=0.721\n",
            ">89, 47/234, d=0.685, g=0.733\n",
            ">89, 48/234, d=0.684, g=0.725\n",
            ">89, 49/234, d=0.690, g=0.701\n",
            ">89, 50/234, d=0.691, g=0.683\n",
            ">89, 51/234, d=0.694, g=0.679\n",
            ">89, 52/234, d=0.704, g=0.688\n",
            ">89, 53/234, d=0.687, g=0.677\n",
            ">89, 54/234, d=0.695, g=0.688\n",
            ">89, 55/234, d=0.686, g=0.721\n",
            ">89, 56/234, d=0.680, g=0.744\n",
            ">89, 57/234, d=0.684, g=0.750\n",
            ">89, 58/234, d=0.692, g=0.730\n",
            ">89, 59/234, d=0.685, g=0.704\n",
            ">89, 60/234, d=0.689, g=0.683\n",
            ">89, 61/234, d=0.687, g=0.681\n",
            ">89, 62/234, d=0.693, g=0.700\n",
            ">89, 63/234, d=0.694, g=0.717\n",
            ">89, 64/234, d=0.685, g=0.729\n",
            ">89, 65/234, d=0.687, g=0.722\n",
            ">89, 66/234, d=0.696, g=0.708\n",
            ">89, 67/234, d=0.685, g=0.711\n",
            ">89, 68/234, d=0.696, g=0.704\n",
            ">89, 69/234, d=0.695, g=0.706\n",
            ">89, 70/234, d=0.682, g=0.706\n",
            ">89, 71/234, d=0.693, g=0.714\n",
            ">89, 72/234, d=0.688, g=0.710\n",
            ">89, 73/234, d=0.692, g=0.705\n",
            ">89, 74/234, d=0.681, g=0.696\n",
            ">89, 75/234, d=0.683, g=0.709\n",
            ">89, 76/234, d=0.689, g=0.721\n",
            ">89, 77/234, d=0.681, g=0.722\n",
            ">89, 78/234, d=0.701, g=0.717\n",
            ">89, 79/234, d=0.689, g=0.700\n",
            ">89, 80/234, d=0.684, g=0.690\n",
            ">89, 81/234, d=0.690, g=0.697\n",
            ">89, 82/234, d=0.680, g=0.709\n",
            ">89, 83/234, d=0.682, g=0.716\n",
            ">89, 84/234, d=0.689, g=0.713\n",
            ">89, 85/234, d=0.678, g=0.707\n",
            ">89, 86/234, d=0.685, g=0.702\n",
            ">89, 87/234, d=0.692, g=0.699\n",
            ">89, 88/234, d=0.685, g=0.699\n",
            ">89, 89/234, d=0.695, g=0.698\n",
            ">89, 90/234, d=0.692, g=0.702\n",
            ">89, 91/234, d=0.693, g=0.710\n",
            ">89, 92/234, d=0.691, g=0.711\n",
            ">89, 93/234, d=0.682, g=0.703\n",
            ">89, 94/234, d=0.678, g=0.697\n",
            ">89, 95/234, d=0.694, g=0.711\n",
            ">89, 96/234, d=0.690, g=0.716\n",
            ">89, 97/234, d=0.690, g=0.700\n",
            ">89, 98/234, d=0.689, g=0.690\n",
            ">89, 99/234, d=0.691, g=0.682\n",
            ">89, 100/234, d=0.696, g=0.691\n",
            ">89, 101/234, d=0.694, g=0.702\n",
            ">89, 102/234, d=0.686, g=0.708\n",
            ">89, 103/234, d=0.688, g=0.720\n",
            ">89, 104/234, d=0.691, g=0.706\n",
            ">89, 105/234, d=0.688, g=0.707\n",
            ">89, 106/234, d=0.692, g=0.709\n",
            ">89, 107/234, d=0.686, g=0.703\n",
            ">89, 108/234, d=0.690, g=0.706\n",
            ">89, 109/234, d=0.686, g=0.700\n",
            ">89, 110/234, d=0.689, g=0.703\n",
            ">89, 111/234, d=0.688, g=0.705\n",
            ">89, 112/234, d=0.692, g=0.706\n",
            ">89, 113/234, d=0.689, g=0.702\n",
            ">89, 114/234, d=0.689, g=0.699\n",
            ">89, 115/234, d=0.686, g=0.705\n",
            ">89, 116/234, d=0.692, g=0.702\n",
            ">89, 117/234, d=0.689, g=0.712\n",
            ">89, 118/234, d=0.693, g=0.714\n",
            ">89, 119/234, d=0.693, g=0.710\n",
            ">89, 120/234, d=0.687, g=0.703\n",
            ">89, 121/234, d=0.687, g=0.699\n",
            ">89, 122/234, d=0.689, g=0.703\n",
            ">89, 123/234, d=0.691, g=0.707\n",
            ">89, 124/234, d=0.685, g=0.714\n",
            ">89, 125/234, d=0.688, g=0.710\n",
            ">89, 126/234, d=0.685, g=0.693\n",
            ">89, 127/234, d=0.685, g=0.697\n",
            ">89, 128/234, d=0.683, g=0.697\n",
            ">89, 129/234, d=0.686, g=0.702\n",
            ">89, 130/234, d=0.694, g=0.720\n",
            ">89, 131/234, d=0.688, g=0.722\n",
            ">89, 132/234, d=0.690, g=0.708\n",
            ">89, 133/234, d=0.685, g=0.692\n",
            ">89, 134/234, d=0.683, g=0.682\n",
            ">89, 135/234, d=0.688, g=0.696\n",
            ">89, 136/234, d=0.686, g=0.702\n",
            ">89, 137/234, d=0.688, g=0.710\n",
            ">89, 138/234, d=0.692, g=0.719\n",
            ">89, 139/234, d=0.684, g=0.721\n",
            ">89, 140/234, d=0.686, g=0.704\n",
            ">89, 141/234, d=0.687, g=0.698\n",
            ">89, 142/234, d=0.688, g=0.701\n",
            ">89, 143/234, d=0.694, g=0.709\n",
            ">89, 144/234, d=0.682, g=0.698\n",
            ">89, 145/234, d=0.686, g=0.692\n",
            ">89, 146/234, d=0.692, g=0.687\n",
            ">89, 147/234, d=0.681, g=0.687\n",
            ">89, 148/234, d=0.698, g=0.707\n",
            ">89, 149/234, d=0.686, g=0.719\n",
            ">89, 150/234, d=0.687, g=0.710\n",
            ">89, 151/234, d=0.685, g=0.701\n",
            ">89, 152/234, d=0.691, g=0.704\n",
            ">89, 153/234, d=0.698, g=0.701\n",
            ">89, 154/234, d=0.686, g=0.705\n",
            ">89, 155/234, d=0.686, g=0.687\n",
            ">89, 156/234, d=0.687, g=0.707\n",
            ">89, 157/234, d=0.681, g=0.710\n",
            ">89, 158/234, d=0.693, g=0.706\n",
            ">89, 159/234, d=0.684, g=0.707\n",
            ">89, 160/234, d=0.686, g=0.707\n",
            ">89, 161/234, d=0.685, g=0.706\n",
            ">89, 162/234, d=0.685, g=0.703\n",
            ">89, 163/234, d=0.689, g=0.714\n",
            ">89, 164/234, d=0.689, g=0.700\n",
            ">89, 165/234, d=0.681, g=0.706\n",
            ">89, 166/234, d=0.685, g=0.693\n",
            ">89, 167/234, d=0.684, g=0.695\n",
            ">89, 168/234, d=0.686, g=0.704\n",
            ">89, 169/234, d=0.689, g=0.716\n",
            ">89, 170/234, d=0.682, g=0.702\n",
            ">89, 171/234, d=0.692, g=0.718\n",
            ">89, 172/234, d=0.683, g=0.710\n",
            ">89, 173/234, d=0.693, g=0.695\n",
            ">89, 174/234, d=0.688, g=0.707\n",
            ">89, 175/234, d=0.682, g=0.713\n",
            ">89, 176/234, d=0.698, g=0.697\n",
            ">89, 177/234, d=0.692, g=0.694\n",
            ">89, 178/234, d=0.701, g=0.704\n",
            ">89, 179/234, d=0.695, g=0.716\n",
            ">89, 180/234, d=0.683, g=0.720\n",
            ">89, 181/234, d=0.683, g=0.708\n",
            ">89, 182/234, d=0.687, g=0.695\n",
            ">89, 183/234, d=0.688, g=0.691\n",
            ">89, 184/234, d=0.684, g=0.700\n",
            ">89, 185/234, d=0.687, g=0.712\n",
            ">89, 186/234, d=0.685, g=0.713\n",
            ">89, 187/234, d=0.688, g=0.700\n",
            ">89, 188/234, d=0.686, g=0.696\n",
            ">89, 189/234, d=0.685, g=0.699\n",
            ">89, 190/234, d=0.687, g=0.702\n",
            ">89, 191/234, d=0.682, g=0.697\n",
            ">89, 192/234, d=0.688, g=0.708\n",
            ">89, 193/234, d=0.690, g=0.716\n",
            ">89, 194/234, d=0.682, g=0.706\n",
            ">89, 195/234, d=0.692, g=0.712\n",
            ">89, 196/234, d=0.691, g=0.701\n",
            ">89, 197/234, d=0.693, g=0.710\n",
            ">89, 198/234, d=0.688, g=0.713\n",
            ">89, 199/234, d=0.684, g=0.703\n",
            ">89, 200/234, d=0.689, g=0.710\n",
            ">89, 201/234, d=0.687, g=0.694\n",
            ">89, 202/234, d=0.686, g=0.699\n",
            ">89, 203/234, d=0.680, g=0.705\n",
            ">89, 204/234, d=0.695, g=0.700\n",
            ">89, 205/234, d=0.691, g=0.706\n",
            ">89, 206/234, d=0.688, g=0.691\n",
            ">89, 207/234, d=0.689, g=0.698\n",
            ">89, 208/234, d=0.684, g=0.703\n",
            ">89, 209/234, d=0.689, g=0.700\n",
            ">89, 210/234, d=0.691, g=0.700\n",
            ">89, 211/234, d=0.688, g=0.703\n",
            ">89, 212/234, d=0.683, g=0.703\n",
            ">89, 213/234, d=0.688, g=0.708\n",
            ">89, 214/234, d=0.696, g=0.695\n",
            ">89, 215/234, d=0.680, g=0.705\n",
            ">89, 216/234, d=0.686, g=0.718\n",
            ">89, 217/234, d=0.684, g=0.719\n",
            ">89, 218/234, d=0.696, g=0.744\n",
            ">89, 219/234, d=0.688, g=0.733\n",
            ">89, 220/234, d=0.685, g=0.719\n",
            ">89, 221/234, d=0.698, g=0.703\n",
            ">89, 222/234, d=0.695, g=0.685\n",
            ">89, 223/234, d=0.695, g=0.690\n",
            ">89, 224/234, d=0.693, g=0.711\n",
            ">89, 225/234, d=0.687, g=0.711\n",
            ">89, 226/234, d=0.693, g=0.700\n",
            ">89, 227/234, d=0.694, g=0.686\n",
            ">89, 228/234, d=0.682, g=0.689\n",
            ">89, 229/234, d=0.691, g=0.693\n",
            ">89, 230/234, d=0.695, g=0.710\n",
            ">89, 231/234, d=0.683, g=0.712\n",
            ">89, 232/234, d=0.683, g=0.718\n",
            ">89, 233/234, d=0.677, g=0.701\n",
            ">89, 234/234, d=0.690, g=0.699\n",
            ">90, 1/234, d=0.690, g=0.693\n",
            ">90, 2/234, d=0.686, g=0.698\n",
            ">90, 3/234, d=0.697, g=0.703\n",
            ">90, 4/234, d=0.695, g=0.706\n",
            ">90, 5/234, d=0.697, g=0.703\n",
            ">90, 6/234, d=0.697, g=0.703\n",
            ">90, 7/234, d=0.689, g=0.702\n",
            ">90, 8/234, d=0.682, g=0.701\n",
            ">90, 9/234, d=0.687, g=0.703\n",
            ">90, 10/234, d=0.687, g=0.709\n",
            ">90, 11/234, d=0.687, g=0.698\n",
            ">90, 12/234, d=0.694, g=0.701\n",
            ">90, 13/234, d=0.693, g=0.713\n",
            ">90, 14/234, d=0.693, g=0.714\n",
            ">90, 15/234, d=0.690, g=0.694\n",
            ">90, 16/234, d=0.688, g=0.694\n",
            ">90, 17/234, d=0.690, g=0.707\n",
            ">90, 18/234, d=0.682, g=0.691\n",
            ">90, 19/234, d=0.703, g=0.709\n",
            ">90, 20/234, d=0.687, g=0.715\n",
            ">90, 21/234, d=0.699, g=0.726\n",
            ">90, 22/234, d=0.683, g=0.707\n",
            ">90, 23/234, d=0.691, g=0.699\n",
            ">90, 24/234, d=0.700, g=0.691\n",
            ">90, 25/234, d=0.690, g=0.691\n",
            ">90, 26/234, d=0.684, g=0.704\n",
            ">90, 27/234, d=0.690, g=0.704\n",
            ">90, 28/234, d=0.681, g=0.712\n",
            ">90, 29/234, d=0.685, g=0.710\n",
            ">90, 30/234, d=0.699, g=0.702\n",
            ">90, 31/234, d=0.683, g=0.703\n",
            ">90, 32/234, d=0.693, g=0.689\n",
            ">90, 33/234, d=0.689, g=0.691\n",
            ">90, 34/234, d=0.687, g=0.698\n",
            ">90, 35/234, d=0.690, g=0.713\n",
            ">90, 36/234, d=0.687, g=0.713\n",
            ">90, 37/234, d=0.690, g=0.705\n",
            ">90, 38/234, d=0.681, g=0.685\n",
            ">90, 39/234, d=0.684, g=0.695\n",
            ">90, 40/234, d=0.686, g=0.699\n",
            ">90, 41/234, d=0.676, g=0.715\n",
            ">90, 42/234, d=0.692, g=0.733\n",
            ">90, 43/234, d=0.686, g=0.715\n",
            ">90, 44/234, d=0.685, g=0.700\n",
            ">90, 45/234, d=0.693, g=0.689\n",
            ">90, 46/234, d=0.685, g=0.703\n",
            ">90, 47/234, d=0.684, g=0.711\n",
            ">90, 48/234, d=0.690, g=0.714\n",
            ">90, 49/234, d=0.682, g=0.711\n",
            ">90, 50/234, d=0.680, g=0.693\n",
            ">90, 51/234, d=0.689, g=0.695\n",
            ">90, 52/234, d=0.689, g=0.699\n",
            ">90, 53/234, d=0.679, g=0.687\n",
            ">90, 54/234, d=0.696, g=0.693\n",
            ">90, 55/234, d=0.690, g=0.716\n",
            ">90, 56/234, d=0.678, g=0.717\n",
            ">90, 57/234, d=0.690, g=0.704\n",
            ">90, 58/234, d=0.690, g=0.702\n",
            ">90, 59/234, d=0.696, g=0.708\n",
            ">90, 60/234, d=0.686, g=0.704\n",
            ">90, 61/234, d=0.685, g=0.702\n",
            ">90, 62/234, d=0.684, g=0.694\n",
            ">90, 63/234, d=0.687, g=0.709\n",
            ">90, 64/234, d=0.692, g=0.712\n",
            ">90, 65/234, d=0.699, g=0.715\n",
            ">90, 66/234, d=0.695, g=0.717\n",
            ">90, 67/234, d=0.691, g=0.705\n",
            ">90, 68/234, d=0.684, g=0.697\n",
            ">90, 69/234, d=0.687, g=0.701\n",
            ">90, 70/234, d=0.687, g=0.703\n",
            ">90, 71/234, d=0.689, g=0.712\n",
            ">90, 72/234, d=0.685, g=0.729\n",
            ">90, 73/234, d=0.686, g=0.717\n",
            ">90, 74/234, d=0.685, g=0.711\n",
            ">90, 75/234, d=0.686, g=0.709\n",
            ">90, 76/234, d=0.690, g=0.701\n",
            ">90, 77/234, d=0.686, g=0.685\n",
            ">90, 78/234, d=0.682, g=0.693\n",
            ">90, 79/234, d=0.682, g=0.689\n",
            ">90, 80/234, d=0.693, g=0.707\n",
            ">90, 81/234, d=0.685, g=0.706\n",
            ">90, 82/234, d=0.700, g=0.703\n",
            ">90, 83/234, d=0.692, g=0.715\n",
            ">90, 84/234, d=0.695, g=0.702\n",
            ">90, 85/234, d=0.678, g=0.700\n",
            ">90, 86/234, d=0.695, g=0.689\n",
            ">90, 87/234, d=0.684, g=0.696\n",
            ">90, 88/234, d=0.696, g=0.686\n",
            ">90, 89/234, d=0.692, g=0.702\n",
            ">90, 90/234, d=0.687, g=0.714\n",
            ">90, 91/234, d=0.692, g=0.708\n",
            ">90, 92/234, d=0.692, g=0.706\n",
            ">90, 93/234, d=0.685, g=0.719\n",
            ">90, 94/234, d=0.685, g=0.720\n",
            ">90, 95/234, d=0.686, g=0.708\n",
            ">90, 96/234, d=0.684, g=0.718\n",
            ">90, 97/234, d=0.685, g=0.702\n",
            ">90, 98/234, d=0.688, g=0.703\n",
            ">90, 99/234, d=0.684, g=0.702\n",
            ">90, 100/234, d=0.692, g=0.689\n",
            ">90, 101/234, d=0.684, g=0.674\n",
            ">90, 102/234, d=0.680, g=0.688\n",
            ">90, 103/234, d=0.690, g=0.693\n",
            ">90, 104/234, d=0.685, g=0.698\n",
            ">90, 105/234, d=0.694, g=0.709\n",
            ">90, 106/234, d=0.699, g=0.716\n",
            ">90, 107/234, d=0.687, g=0.717\n",
            ">90, 108/234, d=0.692, g=0.706\n",
            ">90, 109/234, d=0.686, g=0.711\n",
            ">90, 110/234, d=0.687, g=0.696\n",
            ">90, 111/234, d=0.680, g=0.707\n",
            ">90, 112/234, d=0.690, g=0.704\n",
            ">90, 113/234, d=0.686, g=0.702\n",
            ">90, 114/234, d=0.690, g=0.703\n",
            ">90, 115/234, d=0.687, g=0.709\n",
            ">90, 116/234, d=0.691, g=0.703\n",
            ">90, 117/234, d=0.688, g=0.713\n",
            ">90, 118/234, d=0.698, g=0.719\n",
            ">90, 119/234, d=0.688, g=0.718\n",
            ">90, 120/234, d=0.684, g=0.723\n",
            ">90, 121/234, d=0.693, g=0.705\n",
            ">90, 122/234, d=0.696, g=0.703\n",
            ">90, 123/234, d=0.688, g=0.702\n",
            ">90, 124/234, d=0.691, g=0.716\n",
            ">90, 125/234, d=0.693, g=0.696\n",
            ">90, 126/234, d=0.689, g=0.697\n",
            ">90, 127/234, d=0.694, g=0.696\n",
            ">90, 128/234, d=0.692, g=0.708\n",
            ">90, 129/234, d=0.681, g=0.716\n",
            ">90, 130/234, d=0.691, g=0.704\n",
            ">90, 131/234, d=0.682, g=0.707\n",
            ">90, 132/234, d=0.690, g=0.705\n",
            ">90, 133/234, d=0.681, g=0.707\n",
            ">90, 134/234, d=0.681, g=0.706\n",
            ">90, 135/234, d=0.692, g=0.699\n",
            ">90, 136/234, d=0.682, g=0.709\n",
            ">90, 137/234, d=0.681, g=0.705\n",
            ">90, 138/234, d=0.684, g=0.698\n",
            ">90, 139/234, d=0.689, g=0.688\n",
            ">90, 140/234, d=0.695, g=0.705\n",
            ">90, 141/234, d=0.690, g=0.723\n",
            ">90, 142/234, d=0.681, g=0.733\n",
            ">90, 143/234, d=0.677, g=0.723\n",
            ">90, 144/234, d=0.693, g=0.707\n",
            ">90, 145/234, d=0.681, g=0.711\n",
            ">90, 146/234, d=0.690, g=0.704\n",
            ">90, 147/234, d=0.683, g=0.710\n",
            ">90, 148/234, d=0.682, g=0.723\n",
            ">90, 149/234, d=0.694, g=0.710\n",
            ">90, 150/234, d=0.689, g=0.702\n",
            ">90, 151/234, d=0.689, g=0.692\n",
            ">90, 152/234, d=0.692, g=0.683\n",
            ">90, 153/234, d=0.686, g=0.691\n",
            ">90, 154/234, d=0.696, g=0.712\n",
            ">90, 155/234, d=0.695, g=0.724\n",
            ">90, 156/234, d=0.683, g=0.710\n",
            ">90, 157/234, d=0.688, g=0.698\n",
            ">90, 158/234, d=0.685, g=0.713\n",
            ">90, 159/234, d=0.698, g=0.714\n",
            ">90, 160/234, d=0.699, g=0.718\n",
            ">90, 161/234, d=0.684, g=0.710\n",
            ">90, 162/234, d=0.684, g=0.695\n",
            ">90, 163/234, d=0.689, g=0.681\n",
            ">90, 164/234, d=0.688, g=0.691\n",
            ">90, 165/234, d=0.686, g=0.695\n",
            ">90, 166/234, d=0.691, g=0.697\n",
            ">90, 167/234, d=0.693, g=0.719\n",
            ">90, 168/234, d=0.686, g=0.726\n",
            ">90, 169/234, d=0.685, g=0.701\n",
            ">90, 170/234, d=0.690, g=0.703\n",
            ">90, 171/234, d=0.674, g=0.692\n",
            ">90, 172/234, d=0.691, g=0.707\n",
            ">90, 173/234, d=0.687, g=0.708\n",
            ">90, 174/234, d=0.689, g=0.712\n",
            ">90, 175/234, d=0.692, g=0.700\n",
            ">90, 176/234, d=0.687, g=0.686\n",
            ">90, 177/234, d=0.695, g=0.696\n",
            ">90, 178/234, d=0.693, g=0.695\n",
            ">90, 179/234, d=0.687, g=0.713\n",
            ">90, 180/234, d=0.693, g=0.740\n",
            ">90, 181/234, d=0.686, g=0.732\n",
            ">90, 182/234, d=0.697, g=0.726\n",
            ">90, 183/234, d=0.687, g=0.719\n",
            ">90, 184/234, d=0.689, g=0.695\n",
            ">90, 185/234, d=0.690, g=0.689\n",
            ">90, 186/234, d=0.691, g=0.689\n",
            ">90, 187/234, d=0.694, g=0.688\n",
            ">90, 188/234, d=0.682, g=0.703\n",
            ">90, 189/234, d=0.690, g=0.695\n",
            ">90, 190/234, d=0.692, g=0.709\n",
            ">90, 191/234, d=0.682, g=0.724\n",
            ">90, 192/234, d=0.690, g=0.723\n",
            ">90, 193/234, d=0.689, g=0.695\n",
            ">90, 194/234, d=0.690, g=0.678\n",
            ">90, 195/234, d=0.687, g=0.682\n",
            ">90, 196/234, d=0.689, g=0.696\n",
            ">90, 197/234, d=0.694, g=0.709\n",
            ">90, 198/234, d=0.695, g=0.726\n",
            ">90, 199/234, d=0.688, g=0.732\n",
            ">90, 200/234, d=0.690, g=0.719\n",
            ">90, 201/234, d=0.689, g=0.718\n",
            ">90, 202/234, d=0.699, g=0.709\n",
            ">90, 203/234, d=0.689, g=0.708\n",
            ">90, 204/234, d=0.685, g=0.702\n",
            ">90, 205/234, d=0.684, g=0.714\n",
            ">90, 206/234, d=0.692, g=0.700\n",
            ">90, 207/234, d=0.688, g=0.692\n",
            ">90, 208/234, d=0.686, g=0.689\n",
            ">90, 209/234, d=0.683, g=0.695\n",
            ">90, 210/234, d=0.687, g=0.705\n",
            ">90, 211/234, d=0.695, g=0.711\n",
            ">90, 212/234, d=0.693, g=0.705\n",
            ">90, 213/234, d=0.685, g=0.726\n",
            ">90, 214/234, d=0.691, g=0.727\n",
            ">90, 215/234, d=0.684, g=0.740\n",
            ">90, 216/234, d=0.681, g=0.733\n",
            ">90, 217/234, d=0.687, g=0.726\n",
            ">90, 218/234, d=0.683, g=0.701\n",
            ">90, 219/234, d=0.689, g=0.675\n",
            ">90, 220/234, d=0.686, g=0.671\n",
            ">90, 221/234, d=0.697, g=0.691\n",
            ">90, 222/234, d=0.686, g=0.702\n",
            ">90, 223/234, d=0.684, g=0.720\n",
            ">90, 224/234, d=0.687, g=0.714\n",
            ">90, 225/234, d=0.683, g=0.708\n",
            ">90, 226/234, d=0.689, g=0.692\n",
            ">90, 227/234, d=0.684, g=0.700\n",
            ">90, 228/234, d=0.690, g=0.708\n",
            ">90, 229/234, d=0.687, g=0.715\n",
            ">90, 230/234, d=0.691, g=0.712\n",
            ">90, 231/234, d=0.693, g=0.706\n",
            ">90, 232/234, d=0.686, g=0.696\n",
            ">90, 233/234, d=0.698, g=0.689\n",
            ">90, 234/234, d=0.691, g=0.700\n",
            ">Accuracy real: 39%, fake: 92%\n",
            "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
            ">91, 1/234, d=0.685, g=0.722\n",
            ">91, 2/234, d=0.688, g=0.730\n",
            ">91, 3/234, d=0.689, g=0.738\n",
            ">91, 4/234, d=0.694, g=0.720\n",
            ">91, 5/234, d=0.694, g=0.704\n",
            ">91, 6/234, d=0.691, g=0.681\n",
            ">91, 7/234, d=0.676, g=0.692\n",
            ">91, 8/234, d=0.695, g=0.691\n",
            ">91, 9/234, d=0.683, g=0.706\n",
            ">91, 10/234, d=0.693, g=0.725\n",
            ">91, 11/234, d=0.692, g=0.721\n",
            ">91, 12/234, d=0.689, g=0.716\n",
            ">91, 13/234, d=0.688, g=0.702\n",
            ">91, 14/234, d=0.688, g=0.677\n",
            ">91, 15/234, d=0.692, g=0.688\n",
            ">91, 16/234, d=0.692, g=0.695\n",
            ">91, 17/234, d=0.691, g=0.709\n",
            ">91, 18/234, d=0.683, g=0.729\n",
            ">91, 19/234, d=0.696, g=0.729\n",
            ">91, 20/234, d=0.686, g=0.721\n",
            ">91, 21/234, d=0.683, g=0.698\n",
            ">91, 22/234, d=0.691, g=0.692\n",
            ">91, 23/234, d=0.697, g=0.676\n",
            ">91, 24/234, d=0.693, g=0.687\n",
            ">91, 25/234, d=0.681, g=0.708\n",
            ">91, 26/234, d=0.695, g=0.720\n",
            ">91, 27/234, d=0.689, g=0.719\n",
            ">91, 28/234, d=0.680, g=0.719\n",
            ">91, 29/234, d=0.689, g=0.708\n",
            ">91, 30/234, d=0.688, g=0.710\n",
            ">91, 31/234, d=0.679, g=0.698\n",
            ">91, 32/234, d=0.698, g=0.694\n",
            ">91, 33/234, d=0.691, g=0.700\n",
            ">91, 34/234, d=0.686, g=0.696\n",
            ">91, 35/234, d=0.690, g=0.703\n",
            ">91, 36/234, d=0.691, g=0.705\n",
            ">91, 37/234, d=0.692, g=0.706\n",
            ">91, 38/234, d=0.692, g=0.703\n",
            ">91, 39/234, d=0.688, g=0.710\n",
            ">91, 40/234, d=0.686, g=0.714\n",
            ">91, 41/234, d=0.695, g=0.714\n",
            ">91, 42/234, d=0.686, g=0.704\n",
            ">91, 43/234, d=0.687, g=0.696\n",
            ">91, 44/234, d=0.682, g=0.695\n",
            ">91, 45/234, d=0.698, g=0.687\n",
            ">91, 46/234, d=0.692, g=0.693\n",
            ">91, 47/234, d=0.697, g=0.715\n",
            ">91, 48/234, d=0.688, g=0.721\n",
            ">91, 49/234, d=0.681, g=0.710\n",
            ">91, 50/234, d=0.691, g=0.708\n",
            ">91, 51/234, d=0.698, g=0.693\n",
            ">91, 52/234, d=0.693, g=0.693\n",
            ">91, 53/234, d=0.689, g=0.706\n",
            ">91, 54/234, d=0.689, g=0.699\n",
            ">91, 55/234, d=0.692, g=0.710\n",
            ">91, 56/234, d=0.690, g=0.706\n",
            ">91, 57/234, d=0.695, g=0.720\n",
            ">91, 58/234, d=0.690, g=0.717\n",
            ">91, 59/234, d=0.694, g=0.711\n",
            ">91, 60/234, d=0.686, g=0.705\n",
            ">91, 61/234, d=0.693, g=0.697\n",
            ">91, 62/234, d=0.690, g=0.701\n",
            ">91, 63/234, d=0.697, g=0.710\n",
            ">91, 64/234, d=0.690, g=0.725\n",
            ">91, 65/234, d=0.684, g=0.714\n",
            ">91, 66/234, d=0.682, g=0.704\n",
            ">91, 67/234, d=0.692, g=0.696\n",
            ">91, 68/234, d=0.684, g=0.707\n",
            ">91, 69/234, d=0.697, g=0.735\n",
            ">91, 70/234, d=0.691, g=0.717\n",
            ">91, 71/234, d=0.686, g=0.707\n",
            ">91, 72/234, d=0.681, g=0.691\n",
            ">91, 73/234, d=0.693, g=0.681\n",
            ">91, 74/234, d=0.691, g=0.678\n",
            ">91, 75/234, d=0.683, g=0.693\n",
            ">91, 76/234, d=0.689, g=0.701\n",
            ">91, 77/234, d=0.689, g=0.710\n",
            ">91, 78/234, d=0.685, g=0.714\n",
            ">91, 79/234, d=0.692, g=0.729\n",
            ">91, 80/234, d=0.690, g=0.714\n",
            ">91, 81/234, d=0.680, g=0.691\n",
            ">91, 82/234, d=0.687, g=0.685\n",
            ">91, 83/234, d=0.696, g=0.692\n",
            ">91, 84/234, d=0.682, g=0.688\n",
            ">91, 85/234, d=0.687, g=0.701\n",
            ">91, 86/234, d=0.690, g=0.716\n",
            ">91, 87/234, d=0.694, g=0.731\n",
            ">91, 88/234, d=0.684, g=0.725\n",
            ">91, 89/234, d=0.697, g=0.706\n",
            ">91, 90/234, d=0.683, g=0.689\n",
            ">91, 91/234, d=0.683, g=0.696\n",
            ">91, 92/234, d=0.685, g=0.696\n",
            ">91, 93/234, d=0.695, g=0.712\n",
            ">91, 94/234, d=0.684, g=0.723\n",
            ">91, 95/234, d=0.681, g=0.716\n",
            ">91, 96/234, d=0.695, g=0.702\n",
            ">91, 97/234, d=0.685, g=0.688\n",
            ">91, 98/234, d=0.698, g=0.686\n",
            ">91, 99/234, d=0.698, g=0.693\n",
            ">91, 100/234, d=0.689, g=0.710\n",
            ">91, 101/234, d=0.682, g=0.712\n",
            ">91, 102/234, d=0.694, g=0.703\n",
            ">91, 103/234, d=0.687, g=0.692\n",
            ">91, 104/234, d=0.689, g=0.702\n",
            ">91, 105/234, d=0.683, g=0.691\n",
            ">91, 106/234, d=0.693, g=0.706\n",
            ">91, 107/234, d=0.689, g=0.713\n",
            ">91, 108/234, d=0.687, g=0.700\n",
            ">91, 109/234, d=0.690, g=0.702\n",
            ">91, 110/234, d=0.692, g=0.700\n",
            ">91, 111/234, d=0.689, g=0.706\n",
            ">91, 112/234, d=0.688, g=0.708\n",
            ">91, 113/234, d=0.691, g=0.708\n",
            ">91, 114/234, d=0.690, g=0.700\n",
            ">91, 115/234, d=0.685, g=0.679\n",
            ">91, 116/234, d=0.683, g=0.696\n",
            ">91, 117/234, d=0.685, g=0.698\n",
            ">91, 118/234, d=0.693, g=0.706\n",
            ">91, 119/234, d=0.692, g=0.720\n",
            ">91, 120/234, d=0.695, g=0.721\n",
            ">91, 121/234, d=0.695, g=0.717\n",
            ">91, 122/234, d=0.689, g=0.707\n",
            ">91, 123/234, d=0.682, g=0.706\n",
            ">91, 124/234, d=0.695, g=0.692\n",
            ">91, 125/234, d=0.686, g=0.697\n",
            ">91, 126/234, d=0.681, g=0.710\n",
            ">91, 127/234, d=0.684, g=0.705\n",
            ">91, 128/234, d=0.695, g=0.711\n",
            ">91, 129/234, d=0.691, g=0.711\n",
            ">91, 130/234, d=0.701, g=0.697\n",
            ">91, 131/234, d=0.685, g=0.695\n",
            ">91, 132/234, d=0.684, g=0.693\n",
            ">91, 133/234, d=0.684, g=0.701\n",
            ">91, 134/234, d=0.692, g=0.708\n",
            ">91, 135/234, d=0.686, g=0.713\n",
            ">91, 136/234, d=0.677, g=0.711\n",
            ">91, 137/234, d=0.691, g=0.707\n",
            ">91, 138/234, d=0.689, g=0.714\n",
            ">91, 139/234, d=0.695, g=0.712\n",
            ">91, 140/234, d=0.681, g=0.706\n",
            ">91, 141/234, d=0.695, g=0.707\n",
            ">91, 142/234, d=0.686, g=0.700\n",
            ">91, 143/234, d=0.689, g=0.689\n",
            ">91, 144/234, d=0.689, g=0.702\n",
            ">91, 145/234, d=0.692, g=0.715\n",
            ">91, 146/234, d=0.692, g=0.719\n",
            ">91, 147/234, d=0.684, g=0.713\n",
            ">91, 148/234, d=0.692, g=0.707\n",
            ">91, 149/234, d=0.689, g=0.688\n",
            ">91, 150/234, d=0.679, g=0.693\n",
            ">91, 151/234, d=0.690, g=0.687\n",
            ">91, 152/234, d=0.687, g=0.711\n",
            ">91, 153/234, d=0.685, g=0.708\n",
            ">91, 154/234, d=0.687, g=0.736\n",
            ">91, 155/234, d=0.686, g=0.734\n",
            ">91, 156/234, d=0.692, g=0.735\n",
            ">91, 157/234, d=0.681, g=0.706\n",
            ">91, 158/234, d=0.688, g=0.690\n",
            ">91, 159/234, d=0.689, g=0.680\n",
            ">91, 160/234, d=0.689, g=0.688\n",
            ">91, 161/234, d=0.693, g=0.696\n",
            ">91, 162/234, d=0.684, g=0.698\n",
            ">91, 163/234, d=0.694, g=0.707\n",
            ">91, 164/234, d=0.696, g=0.709\n",
            ">91, 165/234, d=0.681, g=0.702\n",
            ">91, 166/234, d=0.689, g=0.710\n",
            ">91, 167/234, d=0.678, g=0.725\n",
            ">91, 168/234, d=0.687, g=0.711\n",
            ">91, 169/234, d=0.686, g=0.700\n",
            ">91, 170/234, d=0.683, g=0.697\n",
            ">91, 171/234, d=0.685, g=0.711\n",
            ">91, 172/234, d=0.674, g=0.714\n",
            ">91, 173/234, d=0.692, g=0.702\n",
            ">91, 174/234, d=0.691, g=0.691\n",
            ">91, 175/234, d=0.687, g=0.682\n",
            ">91, 176/234, d=0.695, g=0.679\n",
            ">91, 177/234, d=0.682, g=0.690\n",
            ">91, 178/234, d=0.682, g=0.707\n",
            ">91, 179/234, d=0.698, g=0.732\n",
            ">91, 180/234, d=0.697, g=0.735\n",
            ">91, 181/234, d=0.691, g=0.710\n",
            ">91, 182/234, d=0.690, g=0.699\n",
            ">91, 183/234, d=0.691, g=0.699\n",
            ">91, 184/234, d=0.688, g=0.718\n",
            ">91, 185/234, d=0.683, g=0.710\n",
            ">91, 186/234, d=0.681, g=0.702\n",
            ">91, 187/234, d=0.691, g=0.698\n",
            ">91, 188/234, d=0.693, g=0.699\n",
            ">91, 189/234, d=0.678, g=0.690\n",
            ">91, 190/234, d=0.686, g=0.709\n",
            ">91, 191/234, d=0.691, g=0.697\n",
            ">91, 192/234, d=0.689, g=0.688\n",
            ">91, 193/234, d=0.693, g=0.703\n",
            ">91, 194/234, d=0.685, g=0.721\n",
            ">91, 195/234, d=0.683, g=0.728\n",
            ">91, 196/234, d=0.696, g=0.723\n",
            ">91, 197/234, d=0.693, g=0.696\n",
            ">91, 198/234, d=0.688, g=0.701\n",
            ">91, 199/234, d=0.688, g=0.706\n",
            ">91, 200/234, d=0.691, g=0.696\n",
            ">91, 201/234, d=0.684, g=0.693\n",
            ">91, 202/234, d=0.692, g=0.690\n",
            ">91, 203/234, d=0.685, g=0.694\n",
            ">91, 204/234, d=0.692, g=0.694\n",
            ">91, 205/234, d=0.686, g=0.691\n",
            ">91, 206/234, d=0.698, g=0.723\n",
            ">91, 207/234, d=0.691, g=0.727\n",
            ">91, 208/234, d=0.685, g=0.717\n",
            ">91, 209/234, d=0.683, g=0.725\n",
            ">91, 210/234, d=0.695, g=0.709\n",
            ">91, 211/234, d=0.689, g=0.690\n",
            ">91, 212/234, d=0.691, g=0.677\n",
            ">91, 213/234, d=0.683, g=0.676\n",
            ">91, 214/234, d=0.695, g=0.690\n",
            ">91, 215/234, d=0.697, g=0.711\n",
            ">91, 216/234, d=0.689, g=0.713\n",
            ">91, 217/234, d=0.687, g=0.726\n",
            ">91, 218/234, d=0.695, g=0.705\n",
            ">91, 219/234, d=0.697, g=0.694\n",
            ">91, 220/234, d=0.686, g=0.680\n",
            ">91, 221/234, d=0.683, g=0.692\n",
            ">91, 222/234, d=0.689, g=0.689\n",
            ">91, 223/234, d=0.691, g=0.715\n",
            ">91, 224/234, d=0.681, g=0.729\n",
            ">91, 225/234, d=0.690, g=0.716\n",
            ">91, 226/234, d=0.699, g=0.711\n",
            ">91, 227/234, d=0.699, g=0.718\n",
            ">91, 228/234, d=0.688, g=0.720\n",
            ">91, 229/234, d=0.690, g=0.708\n",
            ">91, 230/234, d=0.697, g=0.696\n",
            ">91, 231/234, d=0.688, g=0.705\n",
            ">91, 232/234, d=0.675, g=0.703\n",
            ">91, 233/234, d=0.695, g=0.691\n",
            ">91, 234/234, d=0.687, g=0.698\n",
            ">92, 1/234, d=0.695, g=0.698\n",
            ">92, 2/234, d=0.688, g=0.706\n",
            ">92, 3/234, d=0.682, g=0.712\n",
            ">92, 4/234, d=0.690, g=0.715\n",
            ">92, 5/234, d=0.695, g=0.722\n",
            ">92, 6/234, d=0.691, g=0.694\n",
            ">92, 7/234, d=0.683, g=0.694\n",
            ">92, 8/234, d=0.695, g=0.700\n",
            ">92, 9/234, d=0.697, g=0.695\n",
            ">92, 10/234, d=0.687, g=0.700\n",
            ">92, 11/234, d=0.688, g=0.707\n",
            ">92, 12/234, d=0.684, g=0.706\n",
            ">92, 13/234, d=0.685, g=0.722\n",
            ">92, 14/234, d=0.676, g=0.711\n",
            ">92, 15/234, d=0.680, g=0.700\n",
            ">92, 16/234, d=0.691, g=0.705\n",
            ">92, 17/234, d=0.696, g=0.701\n",
            ">92, 18/234, d=0.687, g=0.713\n",
            ">92, 19/234, d=0.689, g=0.710\n",
            ">92, 20/234, d=0.695, g=0.701\n",
            ">92, 21/234, d=0.681, g=0.689\n",
            ">92, 22/234, d=0.690, g=0.694\n",
            ">92, 23/234, d=0.685, g=0.716\n",
            ">92, 24/234, d=0.692, g=0.721\n",
            ">92, 25/234, d=0.699, g=0.727\n",
            ">92, 26/234, d=0.690, g=0.697\n",
            ">92, 27/234, d=0.689, g=0.683\n",
            ">92, 28/234, d=0.681, g=0.692\n",
            ">92, 29/234, d=0.691, g=0.686\n",
            ">92, 30/234, d=0.691, g=0.701\n",
            ">92, 31/234, d=0.696, g=0.721\n",
            ">92, 32/234, d=0.690, g=0.730\n",
            ">92, 33/234, d=0.684, g=0.716\n",
            ">92, 34/234, d=0.686, g=0.700\n",
            ">92, 35/234, d=0.691, g=0.701\n",
            ">92, 36/234, d=0.693, g=0.700\n",
            ">92, 37/234, d=0.688, g=0.701\n",
            ">92, 38/234, d=0.689, g=0.694\n",
            ">92, 39/234, d=0.693, g=0.698\n",
            ">92, 40/234, d=0.684, g=0.693\n",
            ">92, 41/234, d=0.699, g=0.709\n",
            ">92, 42/234, d=0.680, g=0.718\n",
            ">92, 43/234, d=0.696, g=0.722\n",
            ">92, 44/234, d=0.692, g=0.715\n",
            ">92, 45/234, d=0.689, g=0.705\n",
            ">92, 46/234, d=0.692, g=0.685\n",
            ">92, 47/234, d=0.690, g=0.680\n",
            ">92, 48/234, d=0.691, g=0.678\n",
            ">92, 49/234, d=0.698, g=0.717\n",
            ">92, 50/234, d=0.683, g=0.739\n",
            ">92, 51/234, d=0.689, g=0.718\n",
            ">92, 52/234, d=0.692, g=0.689\n",
            ">92, 53/234, d=0.691, g=0.690\n",
            ">92, 54/234, d=0.690, g=0.685\n",
            ">92, 55/234, d=0.693, g=0.702\n",
            ">92, 56/234, d=0.692, g=0.735\n",
            ">92, 57/234, d=0.692, g=0.730\n",
            ">92, 58/234, d=0.690, g=0.719\n",
            ">92, 59/234, d=0.689, g=0.698\n",
            ">92, 60/234, d=0.691, g=0.704\n",
            ">92, 61/234, d=0.690, g=0.691\n",
            ">92, 62/234, d=0.691, g=0.694\n",
            ">92, 63/234, d=0.692, g=0.696\n",
            ">92, 64/234, d=0.696, g=0.692\n",
            ">92, 65/234, d=0.686, g=0.687\n",
            ">92, 66/234, d=0.692, g=0.700\n",
            ">92, 67/234, d=0.688, g=0.711\n",
            ">92, 68/234, d=0.692, g=0.718\n",
            ">92, 69/234, d=0.682, g=0.732\n",
            ">92, 70/234, d=0.681, g=0.708\n",
            ">92, 71/234, d=0.691, g=0.695\n",
            ">92, 72/234, d=0.681, g=0.689\n",
            ">92, 73/234, d=0.697, g=0.697\n",
            ">92, 74/234, d=0.688, g=0.707\n",
            ">92, 75/234, d=0.697, g=0.708\n",
            ">92, 76/234, d=0.687, g=0.711\n",
            ">92, 77/234, d=0.687, g=0.724\n",
            ">92, 78/234, d=0.689, g=0.712\n",
            ">92, 79/234, d=0.696, g=0.702\n",
            ">92, 80/234, d=0.684, g=0.703\n",
            ">92, 81/234, d=0.698, g=0.691\n",
            ">92, 82/234, d=0.686, g=0.687\n",
            ">92, 83/234, d=0.682, g=0.694\n",
            ">92, 84/234, d=0.693, g=0.713\n",
            ">92, 85/234, d=0.692, g=0.706\n",
            ">92, 86/234, d=0.684, g=0.702\n",
            ">92, 87/234, d=0.689, g=0.700\n",
            ">92, 88/234, d=0.684, g=0.716\n",
            ">92, 89/234, d=0.692, g=0.719\n",
            ">92, 90/234, d=0.697, g=0.713\n",
            ">92, 91/234, d=0.696, g=0.704\n",
            ">92, 92/234, d=0.693, g=0.693\n",
            ">92, 93/234, d=0.687, g=0.694\n",
            ">92, 94/234, d=0.694, g=0.701\n",
            ">92, 95/234, d=0.689, g=0.701\n",
            ">92, 96/234, d=0.685, g=0.721\n",
            ">92, 97/234, d=0.694, g=0.718\n",
            ">92, 98/234, d=0.693, g=0.726\n",
            ">92, 99/234, d=0.693, g=0.693\n",
            ">92, 100/234, d=0.675, g=0.696\n",
            ">92, 101/234, d=0.701, g=0.691\n",
            ">92, 102/234, d=0.688, g=0.680\n",
            ">92, 103/234, d=0.676, g=0.706\n",
            ">92, 104/234, d=0.685, g=0.716\n",
            ">92, 105/234, d=0.690, g=0.706\n",
            ">92, 106/234, d=0.685, g=0.704\n",
            ">92, 107/234, d=0.689, g=0.704\n",
            ">92, 108/234, d=0.690, g=0.709\n",
            ">92, 109/234, d=0.686, g=0.720\n",
            ">92, 110/234, d=0.689, g=0.708\n",
            ">92, 111/234, d=0.686, g=0.707\n",
            ">92, 112/234, d=0.680, g=0.698\n",
            ">92, 113/234, d=0.691, g=0.690\n",
            ">92, 114/234, d=0.678, g=0.687\n",
            ">92, 115/234, d=0.689, g=0.696\n",
            ">92, 116/234, d=0.684, g=0.707\n",
            ">92, 117/234, d=0.697, g=0.729\n",
            ">92, 118/234, d=0.687, g=0.718\n",
            ">92, 119/234, d=0.688, g=0.709\n",
            ">92, 120/234, d=0.679, g=0.683\n",
            ">92, 121/234, d=0.690, g=0.690\n",
            ">92, 122/234, d=0.691, g=0.694\n",
            ">92, 123/234, d=0.689, g=0.694\n",
            ">92, 124/234, d=0.688, g=0.700\n",
            ">92, 125/234, d=0.685, g=0.709\n",
            ">92, 126/234, d=0.692, g=0.714\n",
            ">92, 127/234, d=0.684, g=0.722\n",
            ">92, 128/234, d=0.690, g=0.723\n",
            ">92, 129/234, d=0.690, g=0.723\n",
            ">92, 130/234, d=0.690, g=0.715\n",
            ">92, 131/234, d=0.692, g=0.700\n",
            ">92, 132/234, d=0.683, g=0.703\n",
            ">92, 133/234, d=0.692, g=0.692\n",
            ">92, 134/234, d=0.688, g=0.701\n",
            ">92, 135/234, d=0.693, g=0.692\n",
            ">92, 136/234, d=0.688, g=0.698\n",
            ">92, 137/234, d=0.694, g=0.714\n",
            ">92, 138/234, d=0.692, g=0.727\n",
            ">92, 139/234, d=0.691, g=0.731\n",
            ">92, 140/234, d=0.695, g=0.721\n",
            ">92, 141/234, d=0.691, g=0.704\n",
            ">92, 142/234, d=0.695, g=0.704\n",
            ">92, 143/234, d=0.686, g=0.705\n",
            ">92, 144/234, d=0.696, g=0.699\n",
            ">92, 145/234, d=0.684, g=0.696\n",
            ">92, 146/234, d=0.690, g=0.710\n",
            ">92, 147/234, d=0.690, g=0.718\n",
            ">92, 148/234, d=0.685, g=0.702\n",
            ">92, 149/234, d=0.694, g=0.712\n",
            ">92, 150/234, d=0.692, g=0.700\n",
            ">92, 151/234, d=0.682, g=0.700\n",
            ">92, 152/234, d=0.680, g=0.704\n",
            ">92, 153/234, d=0.681, g=0.710\n",
            ">92, 154/234, d=0.688, g=0.707\n",
            ">92, 155/234, d=0.683, g=0.704\n",
            ">92, 156/234, d=0.689, g=0.714\n",
            ">92, 157/234, d=0.683, g=0.706\n",
            ">92, 158/234, d=0.686, g=0.688\n",
            ">92, 159/234, d=0.686, g=0.699\n",
            ">92, 160/234, d=0.680, g=0.706\n",
            ">92, 161/234, d=0.690, g=0.708\n",
            ">92, 162/234, d=0.691, g=0.712\n",
            ">92, 163/234, d=0.693, g=0.719\n",
            ">92, 164/234, d=0.699, g=0.707\n",
            ">92, 165/234, d=0.693, g=0.710\n",
            ">92, 166/234, d=0.683, g=0.708\n",
            ">92, 167/234, d=0.693, g=0.700\n",
            ">92, 168/234, d=0.685, g=0.693\n",
            ">92, 169/234, d=0.688, g=0.701\n",
            ">92, 170/234, d=0.698, g=0.715\n",
            ">92, 171/234, d=0.688, g=0.718\n",
            ">92, 172/234, d=0.688, g=0.702\n",
            ">92, 173/234, d=0.680, g=0.692\n",
            ">92, 174/234, d=0.696, g=0.698\n",
            ">92, 175/234, d=0.683, g=0.712\n",
            ">92, 176/234, d=0.690, g=0.706\n",
            ">92, 177/234, d=0.695, g=0.715\n",
            ">92, 178/234, d=0.694, g=0.704\n",
            ">92, 179/234, d=0.691, g=0.688\n",
            ">92, 180/234, d=0.691, g=0.700\n",
            ">92, 181/234, d=0.689, g=0.688\n",
            ">92, 182/234, d=0.688, g=0.692\n",
            ">92, 183/234, d=0.694, g=0.708\n",
            ">92, 184/234, d=0.683, g=0.707\n",
            ">92, 185/234, d=0.687, g=0.707\n",
            ">92, 186/234, d=0.697, g=0.714\n",
            ">92, 187/234, d=0.693, g=0.713\n",
            ">92, 188/234, d=0.686, g=0.693\n",
            ">92, 189/234, d=0.689, g=0.688\n",
            ">92, 190/234, d=0.696, g=0.685\n",
            ">92, 191/234, d=0.681, g=0.700\n",
            ">92, 192/234, d=0.691, g=0.715\n",
            ">92, 193/234, d=0.693, g=0.725\n",
            ">92, 194/234, d=0.685, g=0.715\n",
            ">92, 195/234, d=0.685, g=0.700\n",
            ">92, 196/234, d=0.676, g=0.695\n",
            ">92, 197/234, d=0.684, g=0.701\n",
            ">92, 198/234, d=0.688, g=0.702\n",
            ">92, 199/234, d=0.681, g=0.710\n",
            ">92, 200/234, d=0.694, g=0.708\n",
            ">92, 201/234, d=0.685, g=0.687\n",
            ">92, 202/234, d=0.687, g=0.702\n",
            ">92, 203/234, d=0.684, g=0.701\n",
            ">92, 204/234, d=0.686, g=0.700\n",
            ">92, 205/234, d=0.689, g=0.711\n",
            ">92, 206/234, d=0.689, g=0.716\n",
            ">92, 207/234, d=0.688, g=0.719\n",
            ">92, 208/234, d=0.696, g=0.714\n",
            ">92, 209/234, d=0.681, g=0.704\n",
            ">92, 210/234, d=0.682, g=0.695\n",
            ">92, 211/234, d=0.682, g=0.698\n",
            ">92, 212/234, d=0.694, g=0.705\n",
            ">92, 213/234, d=0.681, g=0.715\n",
            ">92, 214/234, d=0.687, g=0.715\n",
            ">92, 215/234, d=0.698, g=0.711\n",
            ">92, 216/234, d=0.692, g=0.698\n",
            ">92, 217/234, d=0.691, g=0.695\n",
            ">92, 218/234, d=0.684, g=0.695\n",
            ">92, 219/234, d=0.689, g=0.698\n",
            ">92, 220/234, d=0.685, g=0.700\n",
            ">92, 221/234, d=0.691, g=0.707\n",
            ">92, 222/234, d=0.682, g=0.709\n",
            ">92, 223/234, d=0.689, g=0.703\n",
            ">92, 224/234, d=0.690, g=0.701\n",
            ">92, 225/234, d=0.689, g=0.712\n",
            ">92, 226/234, d=0.691, g=0.721\n",
            ">92, 227/234, d=0.689, g=0.720\n",
            ">92, 228/234, d=0.689, g=0.705\n",
            ">92, 229/234, d=0.688, g=0.703\n",
            ">92, 230/234, d=0.693, g=0.692\n",
            ">92, 231/234, d=0.697, g=0.705\n",
            ">92, 232/234, d=0.686, g=0.699\n",
            ">92, 233/234, d=0.687, g=0.690\n",
            ">92, 234/234, d=0.692, g=0.697\n",
            ">93, 1/234, d=0.690, g=0.708\n",
            ">93, 2/234, d=0.689, g=0.715\n",
            ">93, 3/234, d=0.697, g=0.704\n",
            ">93, 4/234, d=0.687, g=0.706\n",
            ">93, 5/234, d=0.692, g=0.705\n",
            ">93, 6/234, d=0.680, g=0.700\n",
            ">93, 7/234, d=0.691, g=0.690\n",
            ">93, 8/234, d=0.689, g=0.699\n",
            ">93, 9/234, d=0.698, g=0.697\n",
            ">93, 10/234, d=0.689, g=0.699\n",
            ">93, 11/234, d=0.693, g=0.714\n",
            ">93, 12/234, d=0.695, g=0.725\n",
            ">93, 13/234, d=0.685, g=0.711\n",
            ">93, 14/234, d=0.694, g=0.702\n",
            ">93, 15/234, d=0.686, g=0.695\n",
            ">93, 16/234, d=0.690, g=0.690\n",
            ">93, 17/234, d=0.687, g=0.706\n",
            ">93, 18/234, d=0.684, g=0.695\n",
            ">93, 19/234, d=0.690, g=0.706\n",
            ">93, 20/234, d=0.687, g=0.703\n",
            ">93, 21/234, d=0.689, g=0.705\n",
            ">93, 22/234, d=0.689, g=0.706\n",
            ">93, 23/234, d=0.696, g=0.702\n",
            ">93, 24/234, d=0.694, g=0.704\n",
            ">93, 25/234, d=0.685, g=0.709\n",
            ">93, 26/234, d=0.683, g=0.689\n",
            ">93, 27/234, d=0.695, g=0.699\n",
            ">93, 28/234, d=0.685, g=0.706\n",
            ">93, 29/234, d=0.692, g=0.713\n",
            ">93, 30/234, d=0.701, g=0.699\n",
            ">93, 31/234, d=0.702, g=0.699\n",
            ">93, 32/234, d=0.692, g=0.696\n",
            ">93, 33/234, d=0.699, g=0.711\n",
            ">93, 34/234, d=0.690, g=0.726\n",
            ">93, 35/234, d=0.703, g=0.723\n",
            ">93, 36/234, d=0.683, g=0.726\n",
            ">93, 37/234, d=0.689, g=0.707\n",
            ">93, 38/234, d=0.685, g=0.689\n",
            ">93, 39/234, d=0.687, g=0.692\n",
            ">93, 40/234, d=0.683, g=0.703\n",
            ">93, 41/234, d=0.691, g=0.697\n",
            ">93, 42/234, d=0.693, g=0.715\n",
            ">93, 43/234, d=0.693, g=0.702\n",
            ">93, 44/234, d=0.691, g=0.693\n",
            ">93, 45/234, d=0.688, g=0.707\n",
            ">93, 46/234, d=0.683, g=0.711\n",
            ">93, 47/234, d=0.690, g=0.711\n",
            ">93, 48/234, d=0.691, g=0.691\n",
            ">93, 49/234, d=0.689, g=0.693\n",
            ">93, 50/234, d=0.687, g=0.697\n",
            ">93, 51/234, d=0.687, g=0.711\n",
            ">93, 52/234, d=0.683, g=0.714\n",
            ">93, 53/234, d=0.685, g=0.702\n",
            ">93, 54/234, d=0.690, g=0.707\n",
            ">93, 55/234, d=0.680, g=0.696\n",
            ">93, 56/234, d=0.691, g=0.695\n",
            ">93, 57/234, d=0.684, g=0.702\n",
            ">93, 58/234, d=0.690, g=0.700\n",
            ">93, 59/234, d=0.692, g=0.698\n",
            ">93, 60/234, d=0.692, g=0.684\n",
            ">93, 61/234, d=0.672, g=0.704\n",
            ">93, 62/234, d=0.695, g=0.692\n",
            ">93, 63/234, d=0.690, g=0.713\n",
            ">93, 64/234, d=0.689, g=0.710\n",
            ">93, 65/234, d=0.688, g=0.695\n",
            ">93, 66/234, d=0.675, g=0.686\n",
            ">93, 67/234, d=0.685, g=0.693\n",
            ">93, 68/234, d=0.683, g=0.695\n",
            ">93, 69/234, d=0.691, g=0.709\n",
            ">93, 70/234, d=0.693, g=0.708\n",
            ">93, 71/234, d=0.697, g=0.693\n",
            ">93, 72/234, d=0.684, g=0.700\n",
            ">93, 73/234, d=0.687, g=0.694\n",
            ">93, 74/234, d=0.687, g=0.703\n",
            ">93, 75/234, d=0.692, g=0.718\n",
            ">93, 76/234, d=0.694, g=0.711\n",
            ">93, 77/234, d=0.693, g=0.717\n",
            ">93, 78/234, d=0.684, g=0.703\n",
            ">93, 79/234, d=0.690, g=0.692\n",
            ">93, 80/234, d=0.700, g=0.696\n",
            ">93, 81/234, d=0.685, g=0.692\n",
            ">93, 82/234, d=0.693, g=0.695\n",
            ">93, 83/234, d=0.688, g=0.698\n",
            ">93, 84/234, d=0.686, g=0.698\n",
            ">93, 85/234, d=0.684, g=0.709\n",
            ">93, 86/234, d=0.688, g=0.705\n",
            ">93, 87/234, d=0.696, g=0.698\n",
            ">93, 88/234, d=0.686, g=0.704\n",
            ">93, 89/234, d=0.690, g=0.699\n",
            ">93, 90/234, d=0.685, g=0.706\n",
            ">93, 91/234, d=0.687, g=0.712\n",
            ">93, 92/234, d=0.687, g=0.696\n",
            ">93, 93/234, d=0.692, g=0.693\n",
            ">93, 94/234, d=0.689, g=0.690\n",
            ">93, 95/234, d=0.687, g=0.711\n",
            ">93, 96/234, d=0.691, g=0.711\n",
            ">93, 97/234, d=0.687, g=0.708\n",
            ">93, 98/234, d=0.692, g=0.697\n",
            ">93, 99/234, d=0.684, g=0.712\n",
            ">93, 100/234, d=0.681, g=0.714\n",
            ">93, 101/234, d=0.680, g=0.713\n",
            ">93, 102/234, d=0.687, g=0.716\n",
            ">93, 103/234, d=0.693, g=0.712\n",
            ">93, 104/234, d=0.684, g=0.703\n",
            ">93, 105/234, d=0.686, g=0.702\n",
            ">93, 106/234, d=0.689, g=0.708\n",
            ">93, 107/234, d=0.694, g=0.706\n",
            ">93, 108/234, d=0.701, g=0.697\n",
            ">93, 109/234, d=0.688, g=0.692\n",
            ">93, 110/234, d=0.691, g=0.700\n",
            ">93, 111/234, d=0.684, g=0.709\n",
            ">93, 112/234, d=0.687, g=0.710\n",
            ">93, 113/234, d=0.688, g=0.712\n",
            ">93, 114/234, d=0.684, g=0.698\n",
            ">93, 115/234, d=0.696, g=0.693\n",
            ">93, 116/234, d=0.689, g=0.690\n",
            ">93, 117/234, d=0.681, g=0.709\n",
            ">93, 118/234, d=0.691, g=0.729\n",
            ">93, 119/234, d=0.688, g=0.724\n",
            ">93, 120/234, d=0.685, g=0.720\n",
            ">93, 121/234, d=0.694, g=0.705\n",
            ">93, 122/234, d=0.690, g=0.688\n",
            ">93, 123/234, d=0.692, g=0.682\n",
            ">93, 124/234, d=0.682, g=0.695\n",
            ">93, 125/234, d=0.689, g=0.698\n",
            ">93, 126/234, d=0.683, g=0.717\n",
            ">93, 127/234, d=0.697, g=0.719\n",
            ">93, 128/234, d=0.690, g=0.707\n",
            ">93, 129/234, d=0.690, g=0.719\n",
            ">93, 130/234, d=0.691, g=0.704\n",
            ">93, 131/234, d=0.683, g=0.691\n",
            ">93, 132/234, d=0.690, g=0.690\n",
            ">93, 133/234, d=0.693, g=0.679\n",
            ">93, 134/234, d=0.687, g=0.690\n",
            ">93, 135/234, d=0.683, g=0.709\n",
            ">93, 136/234, d=0.692, g=0.716\n",
            ">93, 137/234, d=0.689, g=0.726\n",
            ">93, 138/234, d=0.687, g=0.696\n",
            ">93, 139/234, d=0.688, g=0.701\n",
            ">93, 140/234, d=0.695, g=0.689\n",
            ">93, 141/234, d=0.678, g=0.704\n",
            ">93, 142/234, d=0.688, g=0.712\n",
            ">93, 143/234, d=0.693, g=0.722\n",
            ">93, 144/234, d=0.694, g=0.715\n",
            ">93, 145/234, d=0.692, g=0.702\n",
            ">93, 146/234, d=0.690, g=0.687\n",
            ">93, 147/234, d=0.696, g=0.692\n",
            ">93, 148/234, d=0.691, g=0.696\n",
            ">93, 149/234, d=0.691, g=0.715\n",
            ">93, 150/234, d=0.688, g=0.720\n",
            ">93, 151/234, d=0.690, g=0.726\n",
            ">93, 152/234, d=0.689, g=0.706\n",
            ">93, 153/234, d=0.701, g=0.692\n",
            ">93, 154/234, d=0.684, g=0.696\n",
            ">93, 155/234, d=0.691, g=0.703\n",
            ">93, 156/234, d=0.688, g=0.691\n",
            ">93, 157/234, d=0.689, g=0.699\n",
            ">93, 158/234, d=0.686, g=0.707\n",
            ">93, 159/234, d=0.693, g=0.707\n",
            ">93, 160/234, d=0.687, g=0.704\n",
            ">93, 161/234, d=0.683, g=0.707\n",
            ">93, 162/234, d=0.684, g=0.709\n",
            ">93, 163/234, d=0.690, g=0.727\n",
            ">93, 164/234, d=0.695, g=0.712\n",
            ">93, 165/234, d=0.687, g=0.710\n",
            ">93, 166/234, d=0.694, g=0.721\n",
            ">93, 167/234, d=0.684, g=0.724\n",
            ">93, 168/234, d=0.694, g=0.711\n",
            ">93, 169/234, d=0.694, g=0.713\n",
            ">93, 170/234, d=0.691, g=0.698\n",
            ">93, 171/234, d=0.692, g=0.694\n",
            ">93, 172/234, d=0.696, g=0.687\n",
            ">93, 173/234, d=0.689, g=0.697\n",
            ">93, 174/234, d=0.683, g=0.720\n",
            ">93, 175/234, d=0.690, g=0.722\n",
            ">93, 176/234, d=0.692, g=0.717\n",
            ">93, 177/234, d=0.698, g=0.697\n",
            ">93, 178/234, d=0.684, g=0.688\n",
            ">93, 179/234, d=0.694, g=0.693\n",
            ">93, 180/234, d=0.683, g=0.697\n",
            ">93, 181/234, d=0.698, g=0.716\n",
            ">93, 182/234, d=0.682, g=0.727\n",
            ">93, 183/234, d=0.686, g=0.717\n",
            ">93, 184/234, d=0.687, g=0.703\n",
            ">93, 185/234, d=0.695, g=0.700\n",
            ">93, 186/234, d=0.689, g=0.704\n",
            ">93, 187/234, d=0.686, g=0.709\n",
            ">93, 188/234, d=0.696, g=0.716\n",
            ">93, 189/234, d=0.690, g=0.713\n",
            ">93, 190/234, d=0.685, g=0.702\n",
            ">93, 191/234, d=0.696, g=0.698\n",
            ">93, 192/234, d=0.689, g=0.695\n",
            ">93, 193/234, d=0.690, g=0.696\n",
            ">93, 194/234, d=0.697, g=0.718\n",
            ">93, 195/234, d=0.693, g=0.721\n",
            ">93, 196/234, d=0.688, g=0.712\n",
            ">93, 197/234, d=0.686, g=0.702\n",
            ">93, 198/234, d=0.695, g=0.699\n",
            ">93, 199/234, d=0.679, g=0.695\n",
            ">93, 200/234, d=0.685, g=0.698\n",
            ">93, 201/234, d=0.694, g=0.698\n",
            ">93, 202/234, d=0.694, g=0.700\n",
            ">93, 203/234, d=0.694, g=0.703\n",
            ">93, 204/234, d=0.679, g=0.719\n",
            ">93, 205/234, d=0.691, g=0.712\n",
            ">93, 206/234, d=0.697, g=0.710\n",
            ">93, 207/234, d=0.688, g=0.717\n",
            ">93, 208/234, d=0.688, g=0.698\n",
            ">93, 209/234, d=0.685, g=0.717\n",
            ">93, 210/234, d=0.687, g=0.711\n",
            ">93, 211/234, d=0.685, g=0.696\n",
            ">93, 212/234, d=0.703, g=0.699\n",
            ">93, 213/234, d=0.687, g=0.694\n",
            ">93, 214/234, d=0.695, g=0.692\n",
            ">93, 215/234, d=0.695, g=0.696\n",
            ">93, 216/234, d=0.695, g=0.708\n",
            ">93, 217/234, d=0.686, g=0.727\n",
            ">93, 218/234, d=0.687, g=0.711\n",
            ">93, 219/234, d=0.696, g=0.710\n",
            ">93, 220/234, d=0.688, g=0.694\n",
            ">93, 221/234, d=0.680, g=0.698\n",
            ">93, 222/234, d=0.689, g=0.692\n",
            ">93, 223/234, d=0.690, g=0.699\n",
            ">93, 224/234, d=0.675, g=0.705\n",
            ">93, 225/234, d=0.686, g=0.711\n",
            ">93, 226/234, d=0.681, g=0.707\n",
            ">93, 227/234, d=0.691, g=0.705\n",
            ">93, 228/234, d=0.689, g=0.713\n",
            ">93, 229/234, d=0.693, g=0.707\n",
            ">93, 230/234, d=0.684, g=0.703\n",
            ">93, 231/234, d=0.698, g=0.680\n",
            ">93, 232/234, d=0.682, g=0.693\n",
            ">93, 233/234, d=0.690, g=0.700\n",
            ">93, 234/234, d=0.682, g=0.708\n",
            ">94, 1/234, d=0.689, g=0.695\n",
            ">94, 2/234, d=0.677, g=0.706\n",
            ">94, 3/234, d=0.687, g=0.699\n",
            ">94, 4/234, d=0.689, g=0.691\n",
            ">94, 5/234, d=0.702, g=0.702\n",
            ">94, 6/234, d=0.687, g=0.708\n",
            ">94, 7/234, d=0.696, g=0.718\n",
            ">94, 8/234, d=0.690, g=0.706\n",
            ">94, 9/234, d=0.687, g=0.705\n",
            ">94, 10/234, d=0.690, g=0.708\n",
            ">94, 11/234, d=0.691, g=0.709\n",
            ">94, 12/234, d=0.684, g=0.710\n",
            ">94, 13/234, d=0.687, g=0.704\n",
            ">94, 14/234, d=0.691, g=0.698\n",
            ">94, 15/234, d=0.682, g=0.692\n",
            ">94, 16/234, d=0.688, g=0.697\n",
            ">94, 17/234, d=0.688, g=0.711\n",
            ">94, 18/234, d=0.689, g=0.710\n",
            ">94, 19/234, d=0.685, g=0.708\n",
            ">94, 20/234, d=0.685, g=0.701\n",
            ">94, 21/234, d=0.693, g=0.724\n",
            ">94, 22/234, d=0.677, g=0.712\n",
            ">94, 23/234, d=0.681, g=0.713\n",
            ">94, 24/234, d=0.691, g=0.708\n",
            ">94, 25/234, d=0.689, g=0.693\n",
            ">94, 26/234, d=0.703, g=0.707\n",
            ">94, 27/234, d=0.685, g=0.699\n",
            ">94, 28/234, d=0.698, g=0.707\n",
            ">94, 29/234, d=0.692, g=0.713\n",
            ">94, 30/234, d=0.697, g=0.720\n",
            ">94, 31/234, d=0.689, g=0.710\n",
            ">94, 32/234, d=0.695, g=0.698\n",
            ">94, 33/234, d=0.688, g=0.705\n",
            ">94, 34/234, d=0.686, g=0.707\n",
            ">94, 35/234, d=0.691, g=0.696\n",
            ">94, 36/234, d=0.689, g=0.692\n",
            ">94, 37/234, d=0.690, g=0.711\n",
            ">94, 38/234, d=0.685, g=0.707\n",
            ">94, 39/234, d=0.700, g=0.727\n",
            ">94, 40/234, d=0.692, g=0.718\n",
            ">94, 41/234, d=0.689, g=0.711\n",
            ">94, 42/234, d=0.690, g=0.701\n",
            ">94, 43/234, d=0.684, g=0.696\n",
            ">94, 44/234, d=0.691, g=0.683\n",
            ">94, 45/234, d=0.694, g=0.700\n",
            ">94, 46/234, d=0.687, g=0.696\n",
            ">94, 47/234, d=0.696, g=0.689\n",
            ">94, 48/234, d=0.696, g=0.713\n",
            ">94, 49/234, d=0.696, g=0.718\n",
            ">94, 50/234, d=0.696, g=0.713\n",
            ">94, 51/234, d=0.693, g=0.715\n",
            ">94, 52/234, d=0.692, g=0.712\n",
            ">94, 53/234, d=0.686, g=0.708\n",
            ">94, 54/234, d=0.680, g=0.711\n",
            ">94, 55/234, d=0.689, g=0.691\n",
            ">94, 56/234, d=0.684, g=0.700\n",
            ">94, 57/234, d=0.692, g=0.701\n",
            ">94, 58/234, d=0.693, g=0.702\n",
            ">94, 59/234, d=0.686, g=0.710\n",
            ">94, 60/234, d=0.689, g=0.717\n",
            ">94, 61/234, d=0.690, g=0.722\n",
            ">94, 62/234, d=0.688, g=0.701\n",
            ">94, 63/234, d=0.691, g=0.705\n",
            ">94, 64/234, d=0.691, g=0.694\n",
            ">94, 65/234, d=0.692, g=0.704\n",
            ">94, 66/234, d=0.684, g=0.700\n",
            ">94, 67/234, d=0.684, g=0.705\n",
            ">94, 68/234, d=0.687, g=0.708\n",
            ">94, 69/234, d=0.682, g=0.723\n",
            ">94, 70/234, d=0.691, g=0.711\n",
            ">94, 71/234, d=0.687, g=0.707\n",
            ">94, 72/234, d=0.698, g=0.703\n",
            ">94, 73/234, d=0.686, g=0.677\n",
            ">94, 74/234, d=0.693, g=0.692\n",
            ">94, 75/234, d=0.683, g=0.700\n",
            ">94, 76/234, d=0.681, g=0.711\n",
            ">94, 77/234, d=0.689, g=0.715\n",
            ">94, 78/234, d=0.691, g=0.708\n",
            ">94, 79/234, d=0.685, g=0.720\n",
            ">94, 80/234, d=0.692, g=0.706\n",
            ">94, 81/234, d=0.683, g=0.705\n",
            ">94, 82/234, d=0.682, g=0.690\n",
            ">94, 83/234, d=0.693, g=0.720\n",
            ">94, 84/234, d=0.689, g=0.723\n",
            ">94, 85/234, d=0.699, g=0.705\n",
            ">94, 86/234, d=0.694, g=0.682\n",
            ">94, 87/234, d=0.691, g=0.687\n",
            ">94, 88/234, d=0.690, g=0.693\n",
            ">94, 89/234, d=0.692, g=0.701\n",
            ">94, 90/234, d=0.685, g=0.712\n",
            ">94, 91/234, d=0.690, g=0.722\n",
            ">94, 92/234, d=0.689, g=0.725\n",
            ">94, 93/234, d=0.684, g=0.708\n",
            ">94, 94/234, d=0.684, g=0.696\n",
            ">94, 95/234, d=0.689, g=0.695\n",
            ">94, 96/234, d=0.693, g=0.684\n",
            ">94, 97/234, d=0.693, g=0.687\n",
            ">94, 98/234, d=0.692, g=0.706\n",
            ">94, 99/234, d=0.680, g=0.714\n",
            ">94, 100/234, d=0.690, g=0.721\n",
            ">94, 101/234, d=0.691, g=0.703\n",
            ">94, 102/234, d=0.684, g=0.703\n",
            ">94, 103/234, d=0.693, g=0.697\n",
            ">94, 104/234, d=0.686, g=0.700\n",
            ">94, 105/234, d=0.693, g=0.714\n",
            ">94, 106/234, d=0.690, g=0.713\n",
            ">94, 107/234, d=0.689, g=0.702\n",
            ">94, 108/234, d=0.690, g=0.694\n",
            ">94, 109/234, d=0.692, g=0.691\n",
            ">94, 110/234, d=0.692, g=0.696\n",
            ">94, 111/234, d=0.691, g=0.696\n",
            ">94, 112/234, d=0.690, g=0.703\n",
            ">94, 113/234, d=0.692, g=0.703\n",
            ">94, 114/234, d=0.688, g=0.711\n",
            ">94, 115/234, d=0.687, g=0.703\n",
            ">94, 116/234, d=0.701, g=0.713\n",
            ">94, 117/234, d=0.695, g=0.704\n",
            ">94, 118/234, d=0.683, g=0.692\n",
            ">94, 119/234, d=0.695, g=0.700\n",
            ">94, 120/234, d=0.687, g=0.699\n",
            ">94, 121/234, d=0.689, g=0.708\n",
            ">94, 122/234, d=0.688, g=0.715\n",
            ">94, 123/234, d=0.691, g=0.708\n",
            ">94, 124/234, d=0.689, g=0.708\n",
            ">94, 125/234, d=0.688, g=0.713\n",
            ">94, 126/234, d=0.690, g=0.712\n",
            ">94, 127/234, d=0.693, g=0.705\n",
            ">94, 128/234, d=0.690, g=0.692\n",
            ">94, 129/234, d=0.687, g=0.694\n",
            ">94, 130/234, d=0.696, g=0.715\n",
            ">94, 131/234, d=0.687, g=0.730\n",
            ">94, 132/234, d=0.687, g=0.733\n",
            ">94, 133/234, d=0.689, g=0.733\n",
            ">94, 134/234, d=0.690, g=0.695\n",
            ">94, 135/234, d=0.684, g=0.685\n",
            ">94, 136/234, d=0.694, g=0.689\n",
            ">94, 137/234, d=0.682, g=0.688\n",
            ">94, 138/234, d=0.689, g=0.717\n",
            ">94, 139/234, d=0.689, g=0.720\n",
            ">94, 140/234, d=0.692, g=0.716\n",
            ">94, 141/234, d=0.683, g=0.700\n",
            ">94, 142/234, d=0.690, g=0.684\n",
            ">94, 143/234, d=0.696, g=0.694\n",
            ">94, 144/234, d=0.691, g=0.699\n",
            ">94, 145/234, d=0.693, g=0.710\n",
            ">94, 146/234, d=0.687, g=0.720\n",
            ">94, 147/234, d=0.692, g=0.704\n",
            ">94, 148/234, d=0.685, g=0.694\n",
            ">94, 149/234, d=0.690, g=0.696\n",
            ">94, 150/234, d=0.692, g=0.709\n",
            ">94, 151/234, d=0.687, g=0.725\n",
            ">94, 152/234, d=0.689, g=0.704\n",
            ">94, 153/234, d=0.691, g=0.698\n",
            ">94, 154/234, d=0.690, g=0.704\n",
            ">94, 155/234, d=0.692, g=0.694\n",
            ">94, 156/234, d=0.692, g=0.711\n",
            ">94, 157/234, d=0.698, g=0.717\n",
            ">94, 158/234, d=0.684, g=0.716\n",
            ">94, 159/234, d=0.692, g=0.727\n",
            ">94, 160/234, d=0.686, g=0.707\n",
            ">94, 161/234, d=0.688, g=0.716\n",
            ">94, 162/234, d=0.684, g=0.700\n",
            ">94, 163/234, d=0.691, g=0.712\n",
            ">94, 164/234, d=0.688, g=0.711\n",
            ">94, 165/234, d=0.696, g=0.705\n",
            ">94, 166/234, d=0.687, g=0.711\n",
            ">94, 167/234, d=0.682, g=0.696\n",
            ">94, 168/234, d=0.681, g=0.710\n",
            ">94, 169/234, d=0.685, g=0.706\n",
            ">94, 170/234, d=0.691, g=0.703\n",
            ">94, 171/234, d=0.691, g=0.700\n",
            ">94, 172/234, d=0.684, g=0.691\n",
            ">94, 173/234, d=0.691, g=0.689\n",
            ">94, 174/234, d=0.685, g=0.685\n",
            ">94, 175/234, d=0.693, g=0.688\n",
            ">94, 176/234, d=0.685, g=0.707\n",
            ">94, 177/234, d=0.691, g=0.714\n",
            ">94, 178/234, d=0.684, g=0.708\n",
            ">94, 179/234, d=0.690, g=0.702\n",
            ">94, 180/234, d=0.694, g=0.689\n",
            ">94, 181/234, d=0.679, g=0.708\n",
            ">94, 182/234, d=0.690, g=0.710\n",
            ">94, 183/234, d=0.689, g=0.711\n",
            ">94, 184/234, d=0.701, g=0.696\n",
            ">94, 185/234, d=0.684, g=0.702\n",
            ">94, 186/234, d=0.692, g=0.699\n",
            ">94, 187/234, d=0.691, g=0.694\n",
            ">94, 188/234, d=0.692, g=0.704\n",
            ">94, 189/234, d=0.692, g=0.706\n",
            ">94, 190/234, d=0.692, g=0.734\n",
            ">94, 191/234, d=0.686, g=0.719\n",
            ">94, 192/234, d=0.683, g=0.704\n",
            ">94, 193/234, d=0.688, g=0.698\n",
            ">94, 194/234, d=0.679, g=0.705\n",
            ">94, 195/234, d=0.684, g=0.703\n",
            ">94, 196/234, d=0.695, g=0.727\n",
            ">94, 197/234, d=0.687, g=0.717\n",
            ">94, 198/234, d=0.697, g=0.701\n",
            ">94, 199/234, d=0.690, g=0.708\n",
            ">94, 200/234, d=0.680, g=0.700\n",
            ">94, 201/234, d=0.682, g=0.704\n",
            ">94, 202/234, d=0.689, g=0.707\n",
            ">94, 203/234, d=0.688, g=0.708\n",
            ">94, 204/234, d=0.689, g=0.699\n",
            ">94, 205/234, d=0.695, g=0.697\n",
            ">94, 206/234, d=0.692, g=0.704\n",
            ">94, 207/234, d=0.677, g=0.712\n",
            ">94, 208/234, d=0.684, g=0.732\n",
            ">94, 209/234, d=0.692, g=0.726\n",
            ">94, 210/234, d=0.690, g=0.713\n",
            ">94, 211/234, d=0.684, g=0.696\n",
            ">94, 212/234, d=0.687, g=0.689\n",
            ">94, 213/234, d=0.690, g=0.709\n",
            ">94, 214/234, d=0.696, g=0.730\n",
            ">94, 215/234, d=0.688, g=0.715\n",
            ">94, 216/234, d=0.688, g=0.723\n",
            ">94, 217/234, d=0.698, g=0.712\n",
            ">94, 218/234, d=0.685, g=0.697\n",
            ">94, 219/234, d=0.693, g=0.701\n",
            ">94, 220/234, d=0.698, g=0.711\n",
            ">94, 221/234, d=0.681, g=0.707\n",
            ">94, 222/234, d=0.678, g=0.702\n",
            ">94, 223/234, d=0.691, g=0.713\n",
            ">94, 224/234, d=0.686, g=0.710\n",
            ">94, 225/234, d=0.694, g=0.725\n",
            ">94, 226/234, d=0.700, g=0.707\n",
            ">94, 227/234, d=0.689, g=0.693\n",
            ">94, 228/234, d=0.695, g=0.692\n",
            ">94, 229/234, d=0.693, g=0.703\n",
            ">94, 230/234, d=0.682, g=0.704\n",
            ">94, 231/234, d=0.687, g=0.721\n",
            ">94, 232/234, d=0.695, g=0.723\n",
            ">94, 233/234, d=0.692, g=0.736\n",
            ">94, 234/234, d=0.695, g=0.719\n",
            ">95, 1/234, d=0.693, g=0.698\n",
            ">95, 2/234, d=0.689, g=0.683\n",
            ">95, 3/234, d=0.688, g=0.681\n",
            ">95, 4/234, d=0.686, g=0.684\n",
            ">95, 5/234, d=0.690, g=0.694\n",
            ">95, 6/234, d=0.689, g=0.702\n",
            ">95, 7/234, d=0.691, g=0.706\n",
            ">95, 8/234, d=0.693, g=0.709\n",
            ">95, 9/234, d=0.676, g=0.702\n",
            ">95, 10/234, d=0.694, g=0.691\n",
            ">95, 11/234, d=0.688, g=0.696\n",
            ">95, 12/234, d=0.686, g=0.707\n",
            ">95, 13/234, d=0.687, g=0.699\n",
            ">95, 14/234, d=0.693, g=0.699\n",
            ">95, 15/234, d=0.689, g=0.691\n",
            ">95, 16/234, d=0.691, g=0.698\n",
            ">95, 17/234, d=0.691, g=0.693\n",
            ">95, 18/234, d=0.684, g=0.716\n",
            ">95, 19/234, d=0.689, g=0.710\n",
            ">95, 20/234, d=0.691, g=0.704\n",
            ">95, 21/234, d=0.688, g=0.704\n",
            ">95, 22/234, d=0.690, g=0.708\n",
            ">95, 23/234, d=0.684, g=0.727\n",
            ">95, 24/234, d=0.696, g=0.718\n",
            ">95, 25/234, d=0.686, g=0.707\n",
            ">95, 26/234, d=0.688, g=0.698\n",
            ">95, 27/234, d=0.698, g=0.705\n",
            ">95, 28/234, d=0.691, g=0.714\n",
            ">95, 29/234, d=0.688, g=0.714\n",
            ">95, 30/234, d=0.693, g=0.707\n",
            ">95, 31/234, d=0.683, g=0.697\n",
            ">95, 32/234, d=0.687, g=0.700\n",
            ">95, 33/234, d=0.692, g=0.704\n",
            ">95, 34/234, d=0.685, g=0.731\n",
            ">95, 35/234, d=0.692, g=0.737\n",
            ">95, 36/234, d=0.683, g=0.724\n",
            ">95, 37/234, d=0.684, g=0.702\n",
            ">95, 38/234, d=0.690, g=0.685\n",
            ">95, 39/234, d=0.694, g=0.677\n",
            ">95, 40/234, d=0.684, g=0.675\n",
            ">95, 41/234, d=0.689, g=0.688\n",
            ">95, 42/234, d=0.703, g=0.700\n",
            ">95, 43/234, d=0.686, g=0.726\n",
            ">95, 44/234, d=0.679, g=0.727\n",
            ">95, 45/234, d=0.694, g=0.728\n",
            ">95, 46/234, d=0.680, g=0.720\n",
            ">95, 47/234, d=0.688, g=0.702\n",
            ">95, 48/234, d=0.687, g=0.698\n",
            ">95, 49/234, d=0.685, g=0.691\n",
            ">95, 50/234, d=0.684, g=0.695\n",
            ">95, 51/234, d=0.692, g=0.686\n",
            ">95, 52/234, d=0.694, g=0.700\n",
            ">95, 53/234, d=0.686, g=0.714\n",
            ">95, 54/234, d=0.686, g=0.716\n",
            ">95, 55/234, d=0.697, g=0.712\n",
            ">95, 56/234, d=0.696, g=0.718\n",
            ">95, 57/234, d=0.690, g=0.705\n",
            ">95, 58/234, d=0.690, g=0.700\n",
            ">95, 59/234, d=0.698, g=0.697\n",
            ">95, 60/234, d=0.685, g=0.703\n",
            ">95, 61/234, d=0.689, g=0.704\n",
            ">95, 62/234, d=0.683, g=0.710\n",
            ">95, 63/234, d=0.689, g=0.711\n",
            ">95, 64/234, d=0.687, g=0.705\n",
            ">95, 65/234, d=0.688, g=0.697\n",
            ">95, 66/234, d=0.683, g=0.702\n",
            ">95, 67/234, d=0.696, g=0.697\n",
            ">95, 68/234, d=0.688, g=0.700\n",
            ">95, 69/234, d=0.686, g=0.697\n",
            ">95, 70/234, d=0.687, g=0.695\n",
            ">95, 71/234, d=0.692, g=0.696\n",
            ">95, 72/234, d=0.693, g=0.711\n",
            ">95, 73/234, d=0.693, g=0.715\n",
            ">95, 74/234, d=0.685, g=0.709\n",
            ">95, 75/234, d=0.691, g=0.716\n",
            ">95, 76/234, d=0.696, g=0.702\n",
            ">95, 77/234, d=0.691, g=0.697\n",
            ">95, 78/234, d=0.698, g=0.697\n",
            ">95, 79/234, d=0.681, g=0.701\n",
            ">95, 80/234, d=0.691, g=0.705\n",
            ">95, 81/234, d=0.691, g=0.701\n",
            ">95, 82/234, d=0.683, g=0.706\n",
            ">95, 83/234, d=0.691, g=0.707\n",
            ">95, 84/234, d=0.698, g=0.699\n",
            ">95, 85/234, d=0.687, g=0.703\n",
            ">95, 86/234, d=0.693, g=0.705\n",
            ">95, 87/234, d=0.686, g=0.722\n",
            ">95, 88/234, d=0.693, g=0.722\n",
            ">95, 89/234, d=0.685, g=0.700\n",
            ">95, 90/234, d=0.693, g=0.701\n",
            ">95, 91/234, d=0.692, g=0.700\n",
            ">95, 92/234, d=0.686, g=0.702\n",
            ">95, 93/234, d=0.687, g=0.696\n",
            ">95, 94/234, d=0.701, g=0.685\n",
            ">95, 95/234, d=0.687, g=0.691\n",
            ">95, 96/234, d=0.694, g=0.705\n",
            ">95, 97/234, d=0.691, g=0.709\n",
            ">95, 98/234, d=0.684, g=0.712\n",
            ">95, 99/234, d=0.683, g=0.708\n",
            ">95, 100/234, d=0.694, g=0.702\n",
            ">95, 101/234, d=0.681, g=0.694\n",
            ">95, 102/234, d=0.691, g=0.711\n",
            ">95, 103/234, d=0.684, g=0.703\n",
            ">95, 104/234, d=0.687, g=0.693\n",
            ">95, 105/234, d=0.693, g=0.697\n",
            ">95, 106/234, d=0.690, g=0.691\n",
            ">95, 107/234, d=0.695, g=0.700\n",
            ">95, 108/234, d=0.694, g=0.707\n",
            ">95, 109/234, d=0.696, g=0.710\n",
            ">95, 110/234, d=0.695, g=0.719\n",
            ">95, 111/234, d=0.686, g=0.717\n",
            ">95, 112/234, d=0.683, g=0.709\n",
            ">95, 113/234, d=0.685, g=0.705\n",
            ">95, 114/234, d=0.689, g=0.704\n",
            ">95, 115/234, d=0.697, g=0.684\n",
            ">95, 116/234, d=0.692, g=0.699\n",
            ">95, 117/234, d=0.685, g=0.695\n",
            ">95, 118/234, d=0.688, g=0.711\n",
            ">95, 119/234, d=0.686, g=0.707\n",
            ">95, 120/234, d=0.686, g=0.693\n",
            ">95, 121/234, d=0.693, g=0.702\n",
            ">95, 122/234, d=0.692, g=0.702\n",
            ">95, 123/234, d=0.686, g=0.710\n",
            ">95, 124/234, d=0.696, g=0.715\n",
            ">95, 125/234, d=0.690, g=0.710\n",
            ">95, 126/234, d=0.684, g=0.695\n",
            ">95, 127/234, d=0.691, g=0.679\n",
            ">95, 128/234, d=0.689, g=0.676\n",
            ">95, 129/234, d=0.688, g=0.699\n",
            ">95, 130/234, d=0.691, g=0.707\n",
            ">95, 131/234, d=0.687, g=0.726\n",
            ">95, 132/234, d=0.694, g=0.710\n",
            ">95, 133/234, d=0.689, g=0.707\n",
            ">95, 134/234, d=0.695, g=0.714\n",
            ">95, 135/234, d=0.693, g=0.701\n",
            ">95, 136/234, d=0.688, g=0.701\n",
            ">95, 137/234, d=0.685, g=0.691\n",
            ">95, 138/234, d=0.688, g=0.696\n",
            ">95, 139/234, d=0.688, g=0.702\n",
            ">95, 140/234, d=0.693, g=0.707\n",
            ">95, 141/234, d=0.691, g=0.702\n",
            ">95, 142/234, d=0.683, g=0.703\n",
            ">95, 143/234, d=0.690, g=0.699\n",
            ">95, 144/234, d=0.682, g=0.691\n",
            ">95, 145/234, d=0.686, g=0.696\n",
            ">95, 146/234, d=0.690, g=0.692\n",
            ">95, 147/234, d=0.697, g=0.710\n",
            ">95, 148/234, d=0.685, g=0.723\n",
            ">95, 149/234, d=0.689, g=0.734\n",
            ">95, 150/234, d=0.695, g=0.710\n",
            ">95, 151/234, d=0.694, g=0.699\n",
            ">95, 152/234, d=0.701, g=0.683\n",
            ">95, 153/234, d=0.684, g=0.680\n",
            ">95, 154/234, d=0.691, g=0.701\n",
            ">95, 155/234, d=0.685, g=0.696\n",
            ">95, 156/234, d=0.689, g=0.699\n",
            ">95, 157/234, d=0.687, g=0.712\n",
            ">95, 158/234, d=0.691, g=0.709\n",
            ">95, 159/234, d=0.689, g=0.698\n",
            ">95, 160/234, d=0.691, g=0.698\n",
            ">95, 161/234, d=0.692, g=0.710\n",
            ">95, 162/234, d=0.685, g=0.718\n",
            ">95, 163/234, d=0.689, g=0.716\n",
            ">95, 164/234, d=0.691, g=0.711\n",
            ">95, 165/234, d=0.687, g=0.700\n",
            ">95, 166/234, d=0.689, g=0.695\n",
            ">95, 167/234, d=0.695, g=0.682\n",
            ">95, 168/234, d=0.687, g=0.677\n",
            ">95, 169/234, d=0.694, g=0.699\n",
            ">95, 170/234, d=0.688, g=0.724\n",
            ">95, 171/234, d=0.690, g=0.722\n",
            ">95, 172/234, d=0.686, g=0.717\n",
            ">95, 173/234, d=0.696, g=0.705\n",
            ">95, 174/234, d=0.701, g=0.698\n",
            ">95, 175/234, d=0.686, g=0.699\n",
            ">95, 176/234, d=0.691, g=0.714\n",
            ">95, 177/234, d=0.690, g=0.734\n",
            ">95, 178/234, d=0.682, g=0.722\n",
            ">95, 179/234, d=0.697, g=0.711\n",
            ">95, 180/234, d=0.697, g=0.688\n",
            ">95, 181/234, d=0.692, g=0.678\n",
            ">95, 182/234, d=0.691, g=0.692\n",
            ">95, 183/234, d=0.686, g=0.716\n",
            ">95, 184/234, d=0.696, g=0.713\n",
            ">95, 185/234, d=0.690, g=0.704\n",
            ">95, 186/234, d=0.694, g=0.713\n",
            ">95, 187/234, d=0.689, g=0.678\n",
            ">95, 188/234, d=0.701, g=0.694\n",
            ">95, 189/234, d=0.687, g=0.702\n",
            ">95, 190/234, d=0.698, g=0.710\n",
            ">95, 191/234, d=0.683, g=0.712\n",
            ">95, 192/234, d=0.686, g=0.717\n",
            ">95, 193/234, d=0.689, g=0.695\n",
            ">95, 194/234, d=0.689, g=0.692\n",
            ">95, 195/234, d=0.693, g=0.700\n",
            ">95, 196/234, d=0.681, g=0.699\n",
            ">95, 197/234, d=0.693, g=0.705\n",
            ">95, 198/234, d=0.692, g=0.706\n",
            ">95, 199/234, d=0.691, g=0.714\n",
            ">95, 200/234, d=0.696, g=0.708\n",
            ">95, 201/234, d=0.690, g=0.707\n",
            ">95, 202/234, d=0.692, g=0.701\n",
            ">95, 203/234, d=0.690, g=0.702\n",
            ">95, 204/234, d=0.685, g=0.690\n",
            ">95, 205/234, d=0.695, g=0.704\n",
            ">95, 206/234, d=0.687, g=0.701\n",
            ">95, 207/234, d=0.688, g=0.717\n",
            ">95, 208/234, d=0.691, g=0.722\n",
            ">95, 209/234, d=0.692, g=0.701\n",
            ">95, 210/234, d=0.688, g=0.690\n",
            ">95, 211/234, d=0.684, g=0.682\n",
            ">95, 212/234, d=0.693, g=0.693\n",
            ">95, 213/234, d=0.688, g=0.694\n",
            ">95, 214/234, d=0.691, g=0.705\n",
            ">95, 215/234, d=0.690, g=0.717\n",
            ">95, 216/234, d=0.690, g=0.728\n",
            ">95, 217/234, d=0.683, g=0.731\n",
            ">95, 218/234, d=0.686, g=0.715\n",
            ">95, 219/234, d=0.688, g=0.701\n",
            ">95, 220/234, d=0.692, g=0.691\n",
            ">95, 221/234, d=0.686, g=0.695\n",
            ">95, 222/234, d=0.689, g=0.688\n",
            ">95, 223/234, d=0.690, g=0.702\n",
            ">95, 224/234, d=0.684, g=0.707\n",
            ">95, 225/234, d=0.680, g=0.707\n",
            ">95, 226/234, d=0.693, g=0.708\n",
            ">95, 227/234, d=0.687, g=0.717\n",
            ">95, 228/234, d=0.686, g=0.712\n",
            ">95, 229/234, d=0.699, g=0.698\n",
            ">95, 230/234, d=0.690, g=0.700\n",
            ">95, 231/234, d=0.687, g=0.700\n",
            ">95, 232/234, d=0.693, g=0.701\n",
            ">95, 233/234, d=0.685, g=0.698\n",
            ">95, 234/234, d=0.688, g=0.697\n",
            ">96, 1/234, d=0.687, g=0.702\n",
            ">96, 2/234, d=0.680, g=0.698\n",
            ">96, 3/234, d=0.683, g=0.703\n",
            ">96, 4/234, d=0.699, g=0.730\n",
            ">96, 5/234, d=0.683, g=0.720\n",
            ">96, 6/234, d=0.692, g=0.700\n",
            ">96, 7/234, d=0.689, g=0.697\n",
            ">96, 8/234, d=0.688, g=0.699\n",
            ">96, 9/234, d=0.685, g=0.710\n",
            ">96, 10/234, d=0.685, g=0.708\n",
            ">96, 11/234, d=0.692, g=0.698\n",
            ">96, 12/234, d=0.693, g=0.699\n",
            ">96, 13/234, d=0.685, g=0.708\n",
            ">96, 14/234, d=0.686, g=0.701\n",
            ">96, 15/234, d=0.691, g=0.690\n",
            ">96, 16/234, d=0.691, g=0.691\n",
            ">96, 17/234, d=0.692, g=0.700\n",
            ">96, 18/234, d=0.689, g=0.713\n",
            ">96, 19/234, d=0.686, g=0.708\n",
            ">96, 20/234, d=0.687, g=0.718\n",
            ">96, 21/234, d=0.691, g=0.697\n",
            ">96, 22/234, d=0.689, g=0.708\n",
            ">96, 23/234, d=0.685, g=0.702\n",
            ">96, 24/234, d=0.677, g=0.698\n",
            ">96, 25/234, d=0.688, g=0.716\n",
            ">96, 26/234, d=0.687, g=0.703\n",
            ">96, 27/234, d=0.690, g=0.694\n",
            ">96, 28/234, d=0.682, g=0.689\n",
            ">96, 29/234, d=0.692, g=0.685\n",
            ">96, 30/234, d=0.693, g=0.708\n",
            ">96, 31/234, d=0.691, g=0.721\n",
            ">96, 32/234, d=0.692, g=0.724\n",
            ">96, 33/234, d=0.686, g=0.705\n",
            ">96, 34/234, d=0.686, g=0.696\n",
            ">96, 35/234, d=0.682, g=0.700\n",
            ">96, 36/234, d=0.689, g=0.707\n",
            ">96, 37/234, d=0.691, g=0.694\n",
            ">96, 38/234, d=0.703, g=0.704\n",
            ">96, 39/234, d=0.688, g=0.700\n",
            ">96, 40/234, d=0.691, g=0.709\n",
            ">96, 41/234, d=0.693, g=0.713\n",
            ">96, 42/234, d=0.684, g=0.711\n",
            ">96, 43/234, d=0.688, g=0.716\n",
            ">96, 44/234, d=0.691, g=0.715\n",
            ">96, 45/234, d=0.681, g=0.703\n",
            ">96, 46/234, d=0.691, g=0.700\n",
            ">96, 47/234, d=0.687, g=0.677\n",
            ">96, 48/234, d=0.692, g=0.692\n",
            ">96, 49/234, d=0.684, g=0.702\n",
            ">96, 50/234, d=0.688, g=0.702\n",
            ">96, 51/234, d=0.689, g=0.705\n",
            ">96, 52/234, d=0.688, g=0.712\n",
            ">96, 53/234, d=0.686, g=0.694\n",
            ">96, 54/234, d=0.689, g=0.695\n",
            ">96, 55/234, d=0.690, g=0.710\n",
            ">96, 56/234, d=0.696, g=0.718\n",
            ">96, 57/234, d=0.691, g=0.708\n",
            ">96, 58/234, d=0.690, g=0.700\n",
            ">96, 59/234, d=0.688, g=0.698\n",
            ">96, 60/234, d=0.694, g=0.689\n",
            ">96, 61/234, d=0.686, g=0.701\n",
            ">96, 62/234, d=0.693, g=0.696\n",
            ">96, 63/234, d=0.695, g=0.717\n",
            ">96, 64/234, d=0.690, g=0.728\n",
            ">96, 65/234, d=0.689, g=0.717\n",
            ">96, 66/234, d=0.696, g=0.709\n",
            ">96, 67/234, d=0.691, g=0.705\n",
            ">96, 68/234, d=0.685, g=0.685\n",
            ">96, 69/234, d=0.690, g=0.693\n",
            ">96, 70/234, d=0.682, g=0.693\n",
            ">96, 71/234, d=0.698, g=0.724\n",
            ">96, 72/234, d=0.684, g=0.735\n",
            ">96, 73/234, d=0.688, g=0.723\n",
            ">96, 74/234, d=0.686, g=0.709\n",
            ">96, 75/234, d=0.691, g=0.692\n",
            ">96, 76/234, d=0.691, g=0.686\n",
            ">96, 77/234, d=0.694, g=0.700\n",
            ">96, 78/234, d=0.686, g=0.709\n",
            ">96, 79/234, d=0.690, g=0.720\n",
            ">96, 80/234, d=0.690, g=0.715\n",
            ">96, 81/234, d=0.698, g=0.716\n",
            ">96, 82/234, d=0.692, g=0.728\n",
            ">96, 83/234, d=0.680, g=0.706\n",
            ">96, 84/234, d=0.697, g=0.713\n",
            ">96, 85/234, d=0.683, g=0.703\n",
            ">96, 86/234, d=0.690, g=0.702\n",
            ">96, 87/234, d=0.684, g=0.697\n",
            ">96, 88/234, d=0.694, g=0.695\n",
            ">96, 89/234, d=0.688, g=0.686\n",
            ">96, 90/234, d=0.686, g=0.698\n",
            ">96, 91/234, d=0.691, g=0.703\n",
            ">96, 92/234, d=0.685, g=0.720\n",
            ">96, 93/234, d=0.693, g=0.725\n",
            ">96, 94/234, d=0.695, g=0.701\n",
            ">96, 95/234, d=0.683, g=0.700\n",
            ">96, 96/234, d=0.689, g=0.695\n",
            ">96, 97/234, d=0.692, g=0.687\n",
            ">96, 98/234, d=0.689, g=0.693\n",
            ">96, 99/234, d=0.684, g=0.704\n",
            ">96, 100/234, d=0.689, g=0.702\n",
            ">96, 101/234, d=0.680, g=0.705\n",
            ">96, 102/234, d=0.685, g=0.710\n",
            ">96, 103/234, d=0.691, g=0.707\n",
            ">96, 104/234, d=0.682, g=0.702\n",
            ">96, 105/234, d=0.686, g=0.701\n",
            ">96, 106/234, d=0.694, g=0.699\n",
            ">96, 107/234, d=0.684, g=0.711\n",
            ">96, 108/234, d=0.688, g=0.717\n",
            ">96, 109/234, d=0.684, g=0.708\n",
            ">96, 110/234, d=0.692, g=0.719\n",
            ">96, 111/234, d=0.684, g=0.706\n",
            ">96, 112/234, d=0.693, g=0.706\n",
            ">96, 113/234, d=0.685, g=0.691\n",
            ">96, 114/234, d=0.691, g=0.694\n",
            ">96, 115/234, d=0.692, g=0.700\n",
            ">96, 116/234, d=0.690, g=0.707\n",
            ">96, 117/234, d=0.681, g=0.716\n",
            ">96, 118/234, d=0.683, g=0.716\n",
            ">96, 119/234, d=0.692, g=0.716\n",
            ">96, 120/234, d=0.692, g=0.711\n",
            ">96, 121/234, d=0.693, g=0.702\n",
            ">96, 122/234, d=0.675, g=0.705\n",
            ">96, 123/234, d=0.691, g=0.703\n",
            ">96, 124/234, d=0.690, g=0.712\n",
            ">96, 125/234, d=0.698, g=0.723\n",
            ">96, 126/234, d=0.693, g=0.716\n",
            ">96, 127/234, d=0.687, g=0.711\n",
            ">96, 128/234, d=0.690, g=0.694\n",
            ">96, 129/234, d=0.687, g=0.685\n",
            ">96, 130/234, d=0.689, g=0.695\n",
            ">96, 131/234, d=0.693, g=0.706\n",
            ">96, 132/234, d=0.693, g=0.709\n",
            ">96, 133/234, d=0.689, g=0.710\n",
            ">96, 134/234, d=0.693, g=0.705\n",
            ">96, 135/234, d=0.691, g=0.712\n",
            ">96, 136/234, d=0.684, g=0.708\n",
            ">96, 137/234, d=0.697, g=0.707\n",
            ">96, 138/234, d=0.690, g=0.724\n",
            ">96, 139/234, d=0.689, g=0.701\n",
            ">96, 140/234, d=0.695, g=0.688\n",
            ">96, 141/234, d=0.685, g=0.693\n",
            ">96, 142/234, d=0.681, g=0.697\n",
            ">96, 143/234, d=0.690, g=0.704\n",
            ">96, 144/234, d=0.698, g=0.719\n",
            ">96, 145/234, d=0.686, g=0.717\n",
            ">96, 146/234, d=0.681, g=0.720\n",
            ">96, 147/234, d=0.693, g=0.698\n",
            ">96, 148/234, d=0.697, g=0.695\n",
            ">96, 149/234, d=0.688, g=0.701\n",
            ">96, 150/234, d=0.688, g=0.692\n",
            ">96, 151/234, d=0.692, g=0.693\n",
            ">96, 152/234, d=0.692, g=0.703\n",
            ">96, 153/234, d=0.683, g=0.706\n",
            ">96, 154/234, d=0.690, g=0.721\n",
            ">96, 155/234, d=0.688, g=0.722\n",
            ">96, 156/234, d=0.682, g=0.711\n",
            ">96, 157/234, d=0.690, g=0.698\n",
            ">96, 158/234, d=0.697, g=0.699\n",
            ">96, 159/234, d=0.690, g=0.704\n",
            ">96, 160/234, d=0.694, g=0.697\n",
            ">96, 161/234, d=0.693, g=0.707\n",
            ">96, 162/234, d=0.687, g=0.700\n",
            ">96, 163/234, d=0.693, g=0.687\n",
            ">96, 164/234, d=0.692, g=0.702\n",
            ">96, 165/234, d=0.694, g=0.709\n",
            ">96, 166/234, d=0.693, g=0.710\n",
            ">96, 167/234, d=0.688, g=0.701\n",
            ">96, 168/234, d=0.685, g=0.711\n",
            ">96, 169/234, d=0.694, g=0.697\n",
            ">96, 170/234, d=0.684, g=0.693\n",
            ">96, 171/234, d=0.688, g=0.693\n",
            ">96, 172/234, d=0.686, g=0.694\n",
            ">96, 173/234, d=0.689, g=0.703\n",
            ">96, 174/234, d=0.688, g=0.723\n",
            ">96, 175/234, d=0.691, g=0.725\n",
            ">96, 176/234, d=0.689, g=0.714\n",
            ">96, 177/234, d=0.689, g=0.697\n",
            ">96, 178/234, d=0.699, g=0.674\n",
            ">96, 179/234, d=0.686, g=0.678\n",
            ">96, 180/234, d=0.686, g=0.690\n",
            ">96, 181/234, d=0.682, g=0.718\n",
            ">96, 182/234, d=0.691, g=0.726\n",
            ">96, 183/234, d=0.685, g=0.707\n",
            ">96, 184/234, d=0.685, g=0.693\n",
            ">96, 185/234, d=0.680, g=0.691\n",
            ">96, 186/234, d=0.692, g=0.712\n",
            ">96, 187/234, d=0.696, g=0.704\n",
            ">96, 188/234, d=0.692, g=0.713\n",
            ">96, 189/234, d=0.692, g=0.715\n",
            ">96, 190/234, d=0.693, g=0.709\n",
            ">96, 191/234, d=0.690, g=0.697\n",
            ">96, 192/234, d=0.695, g=0.693\n",
            ">96, 193/234, d=0.685, g=0.687\n",
            ">96, 194/234, d=0.687, g=0.695\n",
            ">96, 195/234, d=0.686, g=0.700\n",
            ">96, 196/234, d=0.692, g=0.700\n",
            ">96, 197/234, d=0.696, g=0.697\n",
            ">96, 198/234, d=0.687, g=0.705\n",
            ">96, 199/234, d=0.689, g=0.718\n",
            ">96, 200/234, d=0.689, g=0.722\n",
            ">96, 201/234, d=0.687, g=0.721\n",
            ">96, 202/234, d=0.688, g=0.701\n",
            ">96, 203/234, d=0.692, g=0.692\n",
            ">96, 204/234, d=0.691, g=0.695\n",
            ">96, 205/234, d=0.684, g=0.703\n",
            ">96, 206/234, d=0.687, g=0.696\n",
            ">96, 207/234, d=0.685, g=0.700\n",
            ">96, 208/234, d=0.686, g=0.706\n",
            ">96, 209/234, d=0.688, g=0.716\n",
            ">96, 210/234, d=0.692, g=0.727\n",
            ">96, 211/234, d=0.694, g=0.723\n",
            ">96, 212/234, d=0.687, g=0.707\n",
            ">96, 213/234, d=0.682, g=0.697\n",
            ">96, 214/234, d=0.691, g=0.702\n",
            ">96, 215/234, d=0.689, g=0.693\n",
            ">96, 216/234, d=0.688, g=0.704\n",
            ">96, 217/234, d=0.693, g=0.713\n",
            ">96, 218/234, d=0.686, g=0.717\n",
            ">96, 219/234, d=0.696, g=0.709\n",
            ">96, 220/234, d=0.685, g=0.698\n",
            ">96, 221/234, d=0.690, g=0.688\n",
            ">96, 222/234, d=0.682, g=0.697\n",
            ">96, 223/234, d=0.680, g=0.698\n",
            ">96, 224/234, d=0.686, g=0.700\n",
            ">96, 225/234, d=0.695, g=0.713\n",
            ">96, 226/234, d=0.700, g=0.718\n",
            ">96, 227/234, d=0.693, g=0.710\n",
            ">96, 228/234, d=0.693, g=0.700\n",
            ">96, 229/234, d=0.685, g=0.694\n",
            ">96, 230/234, d=0.692, g=0.691\n",
            ">96, 231/234, d=0.687, g=0.690\n",
            ">96, 232/234, d=0.693, g=0.713\n",
            ">96, 233/234, d=0.691, g=0.718\n",
            ">96, 234/234, d=0.685, g=0.699\n",
            ">97, 1/234, d=0.680, g=0.694\n",
            ">97, 2/234, d=0.685, g=0.699\n",
            ">97, 3/234, d=0.687, g=0.696\n",
            ">97, 4/234, d=0.696, g=0.718\n",
            ">97, 5/234, d=0.693, g=0.725\n",
            ">97, 6/234, d=0.690, g=0.732\n",
            ">97, 7/234, d=0.682, g=0.710\n",
            ">97, 8/234, d=0.684, g=0.701\n",
            ">97, 9/234, d=0.693, g=0.703\n",
            ">97, 10/234, d=0.698, g=0.714\n",
            ">97, 11/234, d=0.681, g=0.719\n",
            ">97, 12/234, d=0.687, g=0.721\n",
            ">97, 13/234, d=0.693, g=0.713\n",
            ">97, 14/234, d=0.694, g=0.696\n",
            ">97, 15/234, d=0.686, g=0.688\n",
            ">97, 16/234, d=0.680, g=0.702\n",
            ">97, 17/234, d=0.686, g=0.697\n",
            ">97, 18/234, d=0.684, g=0.715\n",
            ">97, 19/234, d=0.686, g=0.719\n",
            ">97, 20/234, d=0.684, g=0.709\n",
            ">97, 21/234, d=0.675, g=0.700\n",
            ">97, 22/234, d=0.691, g=0.702\n",
            ">97, 23/234, d=0.687, g=0.705\n",
            ">97, 24/234, d=0.688, g=0.718\n",
            ">97, 25/234, d=0.691, g=0.709\n",
            ">97, 26/234, d=0.686, g=0.706\n",
            ">97, 27/234, d=0.686, g=0.698\n",
            ">97, 28/234, d=0.689, g=0.696\n",
            ">97, 29/234, d=0.687, g=0.703\n",
            ">97, 30/234, d=0.686, g=0.710\n",
            ">97, 31/234, d=0.694, g=0.705\n",
            ">97, 32/234, d=0.688, g=0.701\n",
            ">97, 33/234, d=0.693, g=0.697\n",
            ">97, 34/234, d=0.692, g=0.696\n",
            ">97, 35/234, d=0.694, g=0.704\n",
            ">97, 36/234, d=0.695, g=0.715\n",
            ">97, 37/234, d=0.683, g=0.709\n",
            ">97, 38/234, d=0.693, g=0.708\n",
            ">97, 39/234, d=0.689, g=0.712\n",
            ">97, 40/234, d=0.692, g=0.696\n",
            ">97, 41/234, d=0.694, g=0.684\n",
            ">97, 42/234, d=0.694, g=0.692\n",
            ">97, 43/234, d=0.689, g=0.700\n",
            ">97, 44/234, d=0.689, g=0.708\n",
            ">97, 45/234, d=0.688, g=0.706\n",
            ">97, 46/234, d=0.680, g=0.717\n",
            ">97, 47/234, d=0.687, g=0.711\n",
            ">97, 48/234, d=0.693, g=0.714\n",
            ">97, 49/234, d=0.685, g=0.704\n",
            ">97, 50/234, d=0.685, g=0.692\n",
            ">97, 51/234, d=0.683, g=0.694\n",
            ">97, 52/234, d=0.697, g=0.707\n",
            ">97, 53/234, d=0.686, g=0.705\n",
            ">97, 54/234, d=0.699, g=0.707\n",
            ">97, 55/234, d=0.686, g=0.723\n",
            ">97, 56/234, d=0.688, g=0.710\n",
            ">97, 57/234, d=0.690, g=0.704\n",
            ">97, 58/234, d=0.700, g=0.684\n",
            ">97, 59/234, d=0.689, g=0.690\n",
            ">97, 60/234, d=0.688, g=0.708\n",
            ">97, 61/234, d=0.696, g=0.717\n",
            ">97, 62/234, d=0.687, g=0.708\n",
            ">97, 63/234, d=0.693, g=0.692\n",
            ">97, 64/234, d=0.687, g=0.691\n",
            ">97, 65/234, d=0.691, g=0.708\n",
            ">97, 66/234, d=0.688, g=0.707\n",
            ">97, 67/234, d=0.690, g=0.716\n",
            ">97, 68/234, d=0.685, g=0.732\n",
            ">97, 69/234, d=0.689, g=0.720\n",
            ">97, 70/234, d=0.688, g=0.700\n",
            ">97, 71/234, d=0.691, g=0.698\n",
            ">97, 72/234, d=0.684, g=0.705\n",
            ">97, 73/234, d=0.688, g=0.702\n",
            ">97, 74/234, d=0.697, g=0.705\n",
            ">97, 75/234, d=0.688, g=0.707\n",
            ">97, 76/234, d=0.687, g=0.726\n",
            ">97, 77/234, d=0.692, g=0.707\n",
            ">97, 78/234, d=0.698, g=0.722\n",
            ">97, 79/234, d=0.692, g=0.710\n",
            ">97, 80/234, d=0.686, g=0.696\n",
            ">97, 81/234, d=0.689, g=0.705\n",
            ">97, 82/234, d=0.689, g=0.716\n",
            ">97, 83/234, d=0.697, g=0.703\n",
            ">97, 84/234, d=0.698, g=0.711\n",
            ">97, 85/234, d=0.684, g=0.704\n",
            ">97, 86/234, d=0.693, g=0.693\n",
            ">97, 87/234, d=0.687, g=0.701\n",
            ">97, 88/234, d=0.690, g=0.685\n",
            ">97, 89/234, d=0.688, g=0.712\n",
            ">97, 90/234, d=0.686, g=0.705\n",
            ">97, 91/234, d=0.694, g=0.715\n",
            ">97, 92/234, d=0.688, g=0.712\n",
            ">97, 93/234, d=0.688, g=0.699\n",
            ">97, 94/234, d=0.686, g=0.690\n",
            ">97, 95/234, d=0.692, g=0.681\n",
            ">97, 96/234, d=0.689, g=0.700\n",
            ">97, 97/234, d=0.687, g=0.722\n",
            ">97, 98/234, d=0.688, g=0.715\n",
            ">97, 99/234, d=0.689, g=0.708\n",
            ">97, 100/234, d=0.695, g=0.715\n",
            ">97, 101/234, d=0.693, g=0.693\n",
            ">97, 102/234, d=0.681, g=0.699\n",
            ">97, 103/234, d=0.684, g=0.692\n",
            ">97, 104/234, d=0.690, g=0.700\n",
            ">97, 105/234, d=0.687, g=0.709\n",
            ">97, 106/234, d=0.690, g=0.717\n",
            ">97, 107/234, d=0.687, g=0.697\n",
            ">97, 108/234, d=0.691, g=0.693\n",
            ">97, 109/234, d=0.689, g=0.682\n",
            ">97, 110/234, d=0.691, g=0.694\n",
            ">97, 111/234, d=0.687, g=0.699\n",
            ">97, 112/234, d=0.694, g=0.715\n",
            ">97, 113/234, d=0.694, g=0.701\n",
            ">97, 114/234, d=0.688, g=0.699\n",
            ">97, 115/234, d=0.685, g=0.698\n",
            ">97, 116/234, d=0.692, g=0.699\n",
            ">97, 117/234, d=0.690, g=0.715\n",
            ">97, 118/234, d=0.688, g=0.714\n",
            ">97, 119/234, d=0.693, g=0.716\n",
            ">97, 120/234, d=0.686, g=0.706\n",
            ">97, 121/234, d=0.690, g=0.699\n",
            ">97, 122/234, d=0.689, g=0.701\n",
            ">97, 123/234, d=0.695, g=0.701\n",
            ">97, 124/234, d=0.696, g=0.712\n",
            ">97, 125/234, d=0.686, g=0.710\n",
            ">97, 126/234, d=0.690, g=0.718\n",
            ">97, 127/234, d=0.680, g=0.708\n",
            ">97, 128/234, d=0.691, g=0.701\n",
            ">97, 129/234, d=0.693, g=0.697\n",
            ">97, 130/234, d=0.685, g=0.701\n",
            ">97, 131/234, d=0.695, g=0.712\n",
            ">97, 132/234, d=0.688, g=0.714\n",
            ">97, 133/234, d=0.685, g=0.703\n",
            ">97, 134/234, d=0.692, g=0.708\n",
            ">97, 135/234, d=0.692, g=0.716\n",
            ">97, 136/234, d=0.687, g=0.697\n",
            ">97, 137/234, d=0.696, g=0.686\n",
            ">97, 138/234, d=0.686, g=0.685\n",
            ">97, 139/234, d=0.685, g=0.692\n",
            ">97, 140/234, d=0.690, g=0.723\n",
            ">97, 141/234, d=0.680, g=0.722\n",
            ">97, 142/234, d=0.693, g=0.719\n",
            ">97, 143/234, d=0.696, g=0.702\n",
            ">97, 144/234, d=0.688, g=0.691\n",
            ">97, 145/234, d=0.689, g=0.691\n",
            ">97, 146/234, d=0.683, g=0.703\n",
            ">97, 147/234, d=0.683, g=0.722\n",
            ">97, 148/234, d=0.695, g=0.724\n",
            ">97, 149/234, d=0.687, g=0.721\n",
            ">97, 150/234, d=0.687, g=0.705\n",
            ">97, 151/234, d=0.684, g=0.688\n",
            ">97, 152/234, d=0.697, g=0.689\n",
            ">97, 153/234, d=0.684, g=0.704\n",
            ">97, 154/234, d=0.684, g=0.699\n",
            ">97, 155/234, d=0.688, g=0.684\n",
            ">97, 156/234, d=0.691, g=0.698\n",
            ">97, 157/234, d=0.695, g=0.714\n",
            ">97, 158/234, d=0.690, g=0.724\n",
            ">97, 159/234, d=0.693, g=0.715\n",
            ">97, 160/234, d=0.691, g=0.703\n",
            ">97, 161/234, d=0.685, g=0.697\n",
            ">97, 162/234, d=0.686, g=0.710\n",
            ">97, 163/234, d=0.683, g=0.711\n",
            ">97, 164/234, d=0.676, g=0.712\n",
            ">97, 165/234, d=0.683, g=0.700\n",
            ">97, 166/234, d=0.693, g=0.683\n",
            ">97, 167/234, d=0.691, g=0.682\n",
            ">97, 168/234, d=0.693, g=0.695\n",
            ">97, 169/234, d=0.684, g=0.710\n",
            ">97, 170/234, d=0.695, g=0.706\n",
            ">97, 171/234, d=0.685, g=0.713\n",
            ">97, 172/234, d=0.692, g=0.713\n",
            ">97, 173/234, d=0.683, g=0.710\n",
            ">97, 174/234, d=0.695, g=0.691\n",
            ">97, 175/234, d=0.684, g=0.687\n",
            ">97, 176/234, d=0.689, g=0.699\n",
            ">97, 177/234, d=0.686, g=0.712\n",
            ">97, 178/234, d=0.692, g=0.710\n",
            ">97, 179/234, d=0.685, g=0.708\n",
            ">97, 180/234, d=0.689, g=0.701\n",
            ">97, 181/234, d=0.684, g=0.706\n",
            ">97, 182/234, d=0.688, g=0.722\n",
            ">97, 183/234, d=0.682, g=0.718\n",
            ">97, 184/234, d=0.687, g=0.707\n",
            ">97, 185/234, d=0.684, g=0.717\n",
            ">97, 186/234, d=0.701, g=0.699\n",
            ">97, 187/234, d=0.691, g=0.692\n",
            ">97, 188/234, d=0.687, g=0.692\n",
            ">97, 189/234, d=0.690, g=0.690\n",
            ">97, 190/234, d=0.692, g=0.719\n",
            ">97, 191/234, d=0.688, g=0.731\n",
            ">97, 192/234, d=0.686, g=0.705\n",
            ">97, 193/234, d=0.691, g=0.686\n",
            ">97, 194/234, d=0.688, g=0.687\n",
            ">97, 195/234, d=0.691, g=0.696\n",
            ">97, 196/234, d=0.695, g=0.706\n",
            ">97, 197/234, d=0.688, g=0.705\n",
            ">97, 198/234, d=0.687, g=0.715\n",
            ">97, 199/234, d=0.691, g=0.711\n",
            ">97, 200/234, d=0.680, g=0.708\n",
            ">97, 201/234, d=0.686, g=0.702\n",
            ">97, 202/234, d=0.686, g=0.693\n",
            ">97, 203/234, d=0.691, g=0.701\n",
            ">97, 204/234, d=0.691, g=0.711\n",
            ">97, 205/234, d=0.691, g=0.701\n",
            ">97, 206/234, d=0.695, g=0.692\n",
            ">97, 207/234, d=0.689, g=0.700\n",
            ">97, 208/234, d=0.682, g=0.700\n",
            ">97, 209/234, d=0.696, g=0.714\n",
            ">97, 210/234, d=0.691, g=0.731\n",
            ">97, 211/234, d=0.694, g=0.724\n",
            ">97, 212/234, d=0.684, g=0.706\n",
            ">97, 213/234, d=0.685, g=0.701\n",
            ">97, 214/234, d=0.688, g=0.705\n",
            ">97, 215/234, d=0.686, g=0.721\n",
            ">97, 216/234, d=0.684, g=0.702\n",
            ">97, 217/234, d=0.687, g=0.696\n",
            ">97, 218/234, d=0.692, g=0.685\n",
            ">97, 219/234, d=0.683, g=0.697\n",
            ">97, 220/234, d=0.681, g=0.709\n",
            ">97, 221/234, d=0.693, g=0.711\n",
            ">97, 222/234, d=0.697, g=0.706\n",
            ">97, 223/234, d=0.695, g=0.706\n",
            ">97, 224/234, d=0.690, g=0.705\n",
            ">97, 225/234, d=0.696, g=0.703\n",
            ">97, 226/234, d=0.705, g=0.698\n",
            ">97, 227/234, d=0.694, g=0.697\n",
            ">97, 228/234, d=0.685, g=0.692\n",
            ">97, 229/234, d=0.689, g=0.692\n",
            ">97, 230/234, d=0.699, g=0.711\n",
            ">97, 231/234, d=0.692, g=0.717\n",
            ">97, 232/234, d=0.680, g=0.713\n",
            ">97, 233/234, d=0.690, g=0.692\n",
            ">97, 234/234, d=0.690, g=0.691\n",
            ">98, 1/234, d=0.695, g=0.695\n",
            ">98, 2/234, d=0.686, g=0.692\n",
            ">98, 3/234, d=0.690, g=0.696\n",
            ">98, 4/234, d=0.691, g=0.709\n",
            ">98, 5/234, d=0.690, g=0.720\n",
            ">98, 6/234, d=0.689, g=0.707\n",
            ">98, 7/234, d=0.692, g=0.698\n",
            ">98, 8/234, d=0.691, g=0.705\n",
            ">98, 9/234, d=0.695, g=0.705\n",
            ">98, 10/234, d=0.686, g=0.708\n",
            ">98, 11/234, d=0.691, g=0.709\n",
            ">98, 12/234, d=0.688, g=0.707\n",
            ">98, 13/234, d=0.690, g=0.679\n",
            ">98, 14/234, d=0.694, g=0.691\n",
            ">98, 15/234, d=0.686, g=0.692\n",
            ">98, 16/234, d=0.692, g=0.707\n",
            ">98, 17/234, d=0.692, g=0.710\n",
            ">98, 18/234, d=0.683, g=0.701\n",
            ">98, 19/234, d=0.686, g=0.707\n",
            ">98, 20/234, d=0.693, g=0.695\n",
            ">98, 21/234, d=0.684, g=0.698\n",
            ">98, 22/234, d=0.685, g=0.707\n",
            ">98, 23/234, d=0.681, g=0.700\n",
            ">98, 24/234, d=0.692, g=0.697\n",
            ">98, 25/234, d=0.681, g=0.701\n",
            ">98, 26/234, d=0.686, g=0.709\n",
            ">98, 27/234, d=0.684, g=0.692\n",
            ">98, 28/234, d=0.689, g=0.695\n",
            ">98, 29/234, d=0.700, g=0.711\n",
            ">98, 30/234, d=0.690, g=0.718\n",
            ">98, 31/234, d=0.691, g=0.719\n",
            ">98, 32/234, d=0.689, g=0.704\n",
            ">98, 33/234, d=0.688, g=0.693\n",
            ">98, 34/234, d=0.685, g=0.691\n",
            ">98, 35/234, d=0.679, g=0.697\n",
            ">98, 36/234, d=0.695, g=0.702\n",
            ">98, 37/234, d=0.685, g=0.707\n",
            ">98, 38/234, d=0.687, g=0.718\n",
            ">98, 39/234, d=0.695, g=0.710\n",
            ">98, 40/234, d=0.678, g=0.712\n",
            ">98, 41/234, d=0.691, g=0.708\n",
            ">98, 42/234, d=0.684, g=0.699\n",
            ">98, 43/234, d=0.691, g=0.694\n",
            ">98, 44/234, d=0.679, g=0.692\n",
            ">98, 45/234, d=0.693, g=0.714\n",
            ">98, 46/234, d=0.691, g=0.699\n",
            ">98, 47/234, d=0.684, g=0.692\n",
            ">98, 48/234, d=0.681, g=0.704\n",
            ">98, 49/234, d=0.684, g=0.703\n",
            ">98, 50/234, d=0.690, g=0.697\n",
            ">98, 51/234, d=0.691, g=0.703\n",
            ">98, 52/234, d=0.680, g=0.697\n",
            ">98, 53/234, d=0.690, g=0.697\n",
            ">98, 54/234, d=0.690, g=0.701\n",
            ">98, 55/234, d=0.689, g=0.712\n",
            ">98, 56/234, d=0.686, g=0.724\n",
            ">98, 57/234, d=0.689, g=0.723\n",
            ">98, 58/234, d=0.685, g=0.706\n",
            ">98, 59/234, d=0.689, g=0.697\n",
            ">98, 60/234, d=0.692, g=0.689\n",
            ">98, 61/234, d=0.695, g=0.693\n",
            ">98, 62/234, d=0.692, g=0.716\n",
            ">98, 63/234, d=0.688, g=0.722\n",
            ">98, 64/234, d=0.675, g=0.708\n",
            ">98, 65/234, d=0.693, g=0.702\n",
            ">98, 66/234, d=0.684, g=0.700\n",
            ">98, 67/234, d=0.686, g=0.700\n",
            ">98, 68/234, d=0.690, g=0.706\n",
            ">98, 69/234, d=0.689, g=0.710\n",
            ">98, 70/234, d=0.685, g=0.706\n",
            ">98, 71/234, d=0.689, g=0.701\n",
            ">98, 72/234, d=0.692, g=0.692\n",
            ">98, 73/234, d=0.692, g=0.681\n",
            ">98, 74/234, d=0.690, g=0.688\n",
            ">98, 75/234, d=0.688, g=0.708\n",
            ">98, 76/234, d=0.689, g=0.725\n",
            ">98, 77/234, d=0.689, g=0.724\n",
            ">98, 78/234, d=0.689, g=0.710\n",
            ">98, 79/234, d=0.688, g=0.709\n",
            ">98, 80/234, d=0.683, g=0.696\n",
            ">98, 81/234, d=0.695, g=0.685\n",
            ">98, 82/234, d=0.692, g=0.687\n",
            ">98, 83/234, d=0.686, g=0.697\n",
            ">98, 84/234, d=0.682, g=0.713\n",
            ">98, 85/234, d=0.692, g=0.709\n",
            ">98, 86/234, d=0.685, g=0.706\n",
            ">98, 87/234, d=0.685, g=0.703\n",
            ">98, 88/234, d=0.684, g=0.698\n",
            ">98, 89/234, d=0.685, g=0.701\n",
            ">98, 90/234, d=0.685, g=0.725\n",
            ">98, 91/234, d=0.690, g=0.734\n",
            ">98, 92/234, d=0.691, g=0.737\n",
            ">98, 93/234, d=0.687, g=0.712\n",
            ">98, 94/234, d=0.687, g=0.699\n",
            ">98, 95/234, d=0.685, g=0.683\n",
            ">98, 96/234, d=0.692, g=0.667\n",
            ">98, 97/234, d=0.683, g=0.679\n",
            ">98, 98/234, d=0.688, g=0.703\n",
            ">98, 99/234, d=0.681, g=0.726\n",
            ">98, 100/234, d=0.681, g=0.735\n",
            ">98, 101/234, d=0.689, g=0.708\n",
            ">98, 102/234, d=0.694, g=0.695\n",
            ">98, 103/234, d=0.692, g=0.681\n",
            ">98, 104/234, d=0.689, g=0.690\n",
            ">98, 105/234, d=0.691, g=0.707\n",
            ">98, 106/234, d=0.684, g=0.721\n",
            ">98, 107/234, d=0.689, g=0.730\n",
            ">98, 108/234, d=0.688, g=0.717\n",
            ">98, 109/234, d=0.688, g=0.687\n",
            ">98, 110/234, d=0.692, g=0.692\n",
            ">98, 111/234, d=0.694, g=0.695\n",
            ">98, 112/234, d=0.701, g=0.715\n",
            ">98, 113/234, d=0.695, g=0.723\n",
            ">98, 114/234, d=0.691, g=0.707\n",
            ">98, 115/234, d=0.690, g=0.694\n",
            ">98, 116/234, d=0.681, g=0.711\n",
            ">98, 117/234, d=0.699, g=0.722\n",
            ">98, 118/234, d=0.690, g=0.728\n",
            ">98, 119/234, d=0.704, g=0.714\n",
            ">98, 120/234, d=0.692, g=0.707\n",
            ">98, 121/234, d=0.695, g=0.715\n",
            ">98, 122/234, d=0.687, g=0.716\n",
            ">98, 123/234, d=0.688, g=0.716\n",
            ">98, 124/234, d=0.692, g=0.716\n",
            ">98, 125/234, d=0.687, g=0.703\n",
            ">98, 126/234, d=0.696, g=0.690\n",
            ">98, 127/234, d=0.700, g=0.685\n",
            ">98, 128/234, d=0.697, g=0.703\n",
            ">98, 129/234, d=0.679, g=0.711\n",
            ">98, 130/234, d=0.692, g=0.703\n",
            ">98, 131/234, d=0.691, g=0.698\n",
            ">98, 132/234, d=0.681, g=0.705\n",
            ">98, 133/234, d=0.686, g=0.700\n",
            ">98, 134/234, d=0.689, g=0.711\n",
            ">98, 135/234, d=0.690, g=0.713\n",
            ">98, 136/234, d=0.679, g=0.705\n",
            ">98, 137/234, d=0.688, g=0.708\n",
            ">98, 138/234, d=0.682, g=0.702\n",
            ">98, 139/234, d=0.686, g=0.699\n",
            ">98, 140/234, d=0.688, g=0.711\n",
            ">98, 141/234, d=0.691, g=0.698\n",
            ">98, 142/234, d=0.687, g=0.695\n",
            ">98, 143/234, d=0.690, g=0.698\n",
            ">98, 144/234, d=0.688, g=0.688\n",
            ">98, 145/234, d=0.687, g=0.711\n",
            ">98, 146/234, d=0.681, g=0.697\n",
            ">98, 147/234, d=0.692, g=0.696\n",
            ">98, 148/234, d=0.687, g=0.708\n",
            ">98, 149/234, d=0.695, g=0.705\n",
            ">98, 150/234, d=0.685, g=0.693\n",
            ">98, 151/234, d=0.689, g=0.681\n",
            ">98, 152/234, d=0.691, g=0.686\n",
            ">98, 153/234, d=0.678, g=0.698\n",
            ">98, 154/234, d=0.689, g=0.718\n",
            ">98, 155/234, d=0.691, g=0.705\n",
            ">98, 156/234, d=0.682, g=0.712\n",
            ">98, 157/234, d=0.692, g=0.696\n",
            ">98, 158/234, d=0.692, g=0.703\n",
            ">98, 159/234, d=0.685, g=0.695\n",
            ">98, 160/234, d=0.687, g=0.700\n",
            ">98, 161/234, d=0.690, g=0.711\n",
            ">98, 162/234, d=0.688, g=0.703\n",
            ">98, 163/234, d=0.692, g=0.711\n",
            ">98, 164/234, d=0.683, g=0.707\n",
            ">98, 165/234, d=0.689, g=0.711\n",
            ">98, 166/234, d=0.691, g=0.700\n",
            ">98, 167/234, d=0.686, g=0.701\n",
            ">98, 168/234, d=0.693, g=0.686\n",
            ">98, 169/234, d=0.694, g=0.691\n",
            ">98, 170/234, d=0.694, g=0.698\n",
            ">98, 171/234, d=0.687, g=0.712\n",
            ">98, 172/234, d=0.695, g=0.707\n",
            ">98, 173/234, d=0.688, g=0.704\n",
            ">98, 174/234, d=0.692, g=0.700\n",
            ">98, 175/234, d=0.683, g=0.690\n",
            ">98, 176/234, d=0.682, g=0.702\n",
            ">98, 177/234, d=0.687, g=0.721\n",
            ">98, 178/234, d=0.685, g=0.707\n",
            ">98, 179/234, d=0.685, g=0.705\n",
            ">98, 180/234, d=0.698, g=0.697\n",
            ">98, 181/234, d=0.686, g=0.697\n",
            ">98, 182/234, d=0.692, g=0.697\n",
            ">98, 183/234, d=0.687, g=0.698\n",
            ">98, 184/234, d=0.688, g=0.702\n",
            ">98, 185/234, d=0.684, g=0.705\n",
            ">98, 186/234, d=0.688, g=0.699\n",
            ">98, 187/234, d=0.687, g=0.706\n",
            ">98, 188/234, d=0.692, g=0.701\n",
            ">98, 189/234, d=0.692, g=0.715\n",
            ">98, 190/234, d=0.684, g=0.719\n",
            ">98, 191/234, d=0.685, g=0.705\n",
            ">98, 192/234, d=0.691, g=0.696\n",
            ">98, 193/234, d=0.693, g=0.689\n",
            ">98, 194/234, d=0.681, g=0.698\n",
            ">98, 195/234, d=0.691, g=0.703\n",
            ">98, 196/234, d=0.689, g=0.697\n",
            ">98, 197/234, d=0.693, g=0.708\n",
            ">98, 198/234, d=0.684, g=0.719\n",
            ">98, 199/234, d=0.692, g=0.699\n",
            ">98, 200/234, d=0.692, g=0.692\n",
            ">98, 201/234, d=0.691, g=0.709\n",
            ">98, 202/234, d=0.683, g=0.715\n",
            ">98, 203/234, d=0.685, g=0.722\n",
            ">98, 204/234, d=0.693, g=0.712\n",
            ">98, 205/234, d=0.699, g=0.695\n",
            ">98, 206/234, d=0.692, g=0.685\n",
            ">98, 207/234, d=0.688, g=0.709\n",
            ">98, 208/234, d=0.686, g=0.721\n",
            ">98, 209/234, d=0.690, g=0.736\n",
            ">98, 210/234, d=0.690, g=0.731\n",
            ">98, 211/234, d=0.688, g=0.710\n",
            ">98, 212/234, d=0.689, g=0.693\n",
            ">98, 213/234, d=0.686, g=0.680\n",
            ">98, 214/234, d=0.696, g=0.697\n",
            ">98, 215/234, d=0.689, g=0.709\n",
            ">98, 216/234, d=0.691, g=0.704\n",
            ">98, 217/234, d=0.692, g=0.698\n",
            ">98, 218/234, d=0.689, g=0.706\n",
            ">98, 219/234, d=0.688, g=0.709\n",
            ">98, 220/234, d=0.683, g=0.702\n",
            ">98, 221/234, d=0.683, g=0.708\n",
            ">98, 222/234, d=0.699, g=0.683\n",
            ">98, 223/234, d=0.680, g=0.707\n",
            ">98, 224/234, d=0.693, g=0.702\n",
            ">98, 225/234, d=0.684, g=0.716\n",
            ">98, 226/234, d=0.680, g=0.708\n",
            ">98, 227/234, d=0.695, g=0.708\n",
            ">98, 228/234, d=0.692, g=0.724\n",
            ">98, 229/234, d=0.680, g=0.702\n",
            ">98, 230/234, d=0.686, g=0.706\n",
            ">98, 231/234, d=0.690, g=0.706\n",
            ">98, 232/234, d=0.690, g=0.713\n",
            ">98, 233/234, d=0.693, g=0.717\n",
            ">98, 234/234, d=0.685, g=0.709\n",
            ">99, 1/234, d=0.692, g=0.681\n",
            ">99, 2/234, d=0.693, g=0.688\n",
            ">99, 3/234, d=0.687, g=0.694\n",
            ">99, 4/234, d=0.689, g=0.710\n",
            ">99, 5/234, d=0.698, g=0.706\n",
            ">99, 6/234, d=0.686, g=0.704\n",
            ">99, 7/234, d=0.692, g=0.701\n",
            ">99, 8/234, d=0.685, g=0.720\n",
            ">99, 9/234, d=0.691, g=0.722\n",
            ">99, 10/234, d=0.695, g=0.712\n",
            ">99, 11/234, d=0.692, g=0.700\n",
            ">99, 12/234, d=0.690, g=0.697\n",
            ">99, 13/234, d=0.692, g=0.694\n",
            ">99, 14/234, d=0.691, g=0.693\n",
            ">99, 15/234, d=0.691, g=0.712\n",
            ">99, 16/234, d=0.688, g=0.714\n",
            ">99, 17/234, d=0.689, g=0.707\n",
            ">99, 18/234, d=0.693, g=0.691\n",
            ">99, 19/234, d=0.689, g=0.681\n",
            ">99, 20/234, d=0.692, g=0.683\n",
            ">99, 21/234, d=0.684, g=0.698\n",
            ">99, 22/234, d=0.696, g=0.713\n",
            ">99, 23/234, d=0.692, g=0.728\n",
            ">99, 24/234, d=0.692, g=0.736\n",
            ">99, 25/234, d=0.692, g=0.720\n",
            ">99, 26/234, d=0.685, g=0.695\n",
            ">99, 27/234, d=0.686, g=0.688\n",
            ">99, 28/234, d=0.695, g=0.695\n",
            ">99, 29/234, d=0.695, g=0.702\n",
            ">99, 30/234, d=0.689, g=0.705\n",
            ">99, 31/234, d=0.687, g=0.704\n",
            ">99, 32/234, d=0.689, g=0.701\n",
            ">99, 33/234, d=0.683, g=0.699\n",
            ">99, 34/234, d=0.688, g=0.710\n",
            ">99, 35/234, d=0.684, g=0.709\n",
            ">99, 36/234, d=0.683, g=0.701\n",
            ">99, 37/234, d=0.690, g=0.719\n",
            ">99, 38/234, d=0.687, g=0.700\n",
            ">99, 39/234, d=0.693, g=0.699\n",
            ">99, 40/234, d=0.688, g=0.713\n",
            ">99, 41/234, d=0.681, g=0.709\n",
            ">99, 42/234, d=0.686, g=0.691\n",
            ">99, 43/234, d=0.689, g=0.701\n",
            ">99, 44/234, d=0.686, g=0.699\n",
            ">99, 45/234, d=0.698, g=0.691\n",
            ">99, 46/234, d=0.706, g=0.698\n",
            ">99, 47/234, d=0.691, g=0.705\n",
            ">99, 48/234, d=0.686, g=0.727\n",
            ">99, 49/234, d=0.693, g=0.717\n",
            ">99, 50/234, d=0.681, g=0.720\n",
            ">99, 51/234, d=0.685, g=0.712\n",
            ">99, 52/234, d=0.684, g=0.697\n",
            ">99, 53/234, d=0.689, g=0.695\n",
            ">99, 54/234, d=0.687, g=0.702\n",
            ">99, 55/234, d=0.684, g=0.721\n",
            ">99, 56/234, d=0.698, g=0.726\n",
            ">99, 57/234, d=0.691, g=0.710\n",
            ">99, 58/234, d=0.690, g=0.717\n",
            ">99, 59/234, d=0.692, g=0.698\n",
            ">99, 60/234, d=0.685, g=0.696\n",
            ">99, 61/234, d=0.685, g=0.702\n",
            ">99, 62/234, d=0.689, g=0.707\n",
            ">99, 63/234, d=0.690, g=0.708\n",
            ">99, 64/234, d=0.696, g=0.704\n",
            ">99, 65/234, d=0.696, g=0.682\n",
            ">99, 66/234, d=0.687, g=0.674\n",
            ">99, 67/234, d=0.692, g=0.694\n",
            ">99, 68/234, d=0.689, g=0.713\n",
            ">99, 69/234, d=0.686, g=0.722\n",
            ">99, 70/234, d=0.687, g=0.721\n",
            ">99, 71/234, d=0.685, g=0.699\n",
            ">99, 72/234, d=0.691, g=0.685\n",
            ">99, 73/234, d=0.685, g=0.692\n",
            ">99, 74/234, d=0.693, g=0.700\n",
            ">99, 75/234, d=0.686, g=0.711\n",
            ">99, 76/234, d=0.692, g=0.711\n",
            ">99, 77/234, d=0.689, g=0.697\n",
            ">99, 78/234, d=0.698, g=0.712\n",
            ">99, 79/234, d=0.676, g=0.715\n",
            ">99, 80/234, d=0.692, g=0.718\n",
            ">99, 81/234, d=0.687, g=0.705\n",
            ">99, 82/234, d=0.690, g=0.704\n",
            ">99, 83/234, d=0.691, g=0.697\n",
            ">99, 84/234, d=0.691, g=0.702\n",
            ">99, 85/234, d=0.686, g=0.698\n",
            ">99, 86/234, d=0.686, g=0.719\n",
            ">99, 87/234, d=0.690, g=0.719\n",
            ">99, 88/234, d=0.684, g=0.717\n",
            ">99, 89/234, d=0.687, g=0.721\n",
            ">99, 90/234, d=0.690, g=0.714\n",
            ">99, 91/234, d=0.685, g=0.709\n",
            ">99, 92/234, d=0.698, g=0.701\n",
            ">99, 93/234, d=0.690, g=0.698\n",
            ">99, 94/234, d=0.685, g=0.706\n",
            ">99, 95/234, d=0.683, g=0.709\n",
            ">99, 96/234, d=0.695, g=0.710\n",
            ">99, 97/234, d=0.693, g=0.711\n",
            ">99, 98/234, d=0.696, g=0.699\n",
            ">99, 99/234, d=0.697, g=0.690\n",
            ">99, 100/234, d=0.691, g=0.675\n",
            ">99, 101/234, d=0.687, g=0.696\n",
            ">99, 102/234, d=0.694, g=0.695\n",
            ">99, 103/234, d=0.689, g=0.698\n",
            ">99, 104/234, d=0.698, g=0.712\n",
            ">99, 105/234, d=0.690, g=0.721\n",
            ">99, 106/234, d=0.686, g=0.739\n",
            ">99, 107/234, d=0.685, g=0.716\n",
            ">99, 108/234, d=0.685, g=0.701\n",
            ">99, 109/234, d=0.683, g=0.702\n",
            ">99, 110/234, d=0.689, g=0.715\n",
            ">99, 111/234, d=0.687, g=0.722\n",
            ">99, 112/234, d=0.693, g=0.728\n",
            ">99, 113/234, d=0.693, g=0.714\n",
            ">99, 114/234, d=0.689, g=0.710\n",
            ">99, 115/234, d=0.689, g=0.693\n",
            ">99, 116/234, d=0.689, g=0.688\n",
            ">99, 117/234, d=0.694, g=0.682\n",
            ">99, 118/234, d=0.692, g=0.698\n",
            ">99, 119/234, d=0.693, g=0.719\n",
            ">99, 120/234, d=0.687, g=0.715\n",
            ">99, 121/234, d=0.689, g=0.696\n",
            ">99, 122/234, d=0.685, g=0.713\n",
            ">99, 123/234, d=0.688, g=0.698\n",
            ">99, 124/234, d=0.694, g=0.708\n",
            ">99, 125/234, d=0.687, g=0.729\n",
            ">99, 126/234, d=0.688, g=0.704\n",
            ">99, 127/234, d=0.695, g=0.710\n",
            ">99, 128/234, d=0.688, g=0.685\n",
            ">99, 129/234, d=0.686, g=0.668\n",
            ">99, 130/234, d=0.694, g=0.684\n",
            ">99, 131/234, d=0.696, g=0.690\n",
            ">99, 132/234, d=0.697, g=0.700\n",
            ">99, 133/234, d=0.684, g=0.723\n",
            ">99, 134/234, d=0.686, g=0.713\n",
            ">99, 135/234, d=0.694, g=0.714\n",
            ">99, 136/234, d=0.696, g=0.701\n",
            ">99, 137/234, d=0.696, g=0.708\n",
            ">99, 138/234, d=0.688, g=0.690\n",
            ">99, 139/234, d=0.703, g=0.696\n",
            ">99, 140/234, d=0.696, g=0.703\n",
            ">99, 141/234, d=0.678, g=0.724\n",
            ">99, 142/234, d=0.687, g=0.706\n",
            ">99, 143/234, d=0.680, g=0.703\n",
            ">99, 144/234, d=0.691, g=0.705\n",
            ">99, 145/234, d=0.702, g=0.714\n",
            ">99, 146/234, d=0.691, g=0.716\n",
            ">99, 147/234, d=0.689, g=0.714\n",
            ">99, 148/234, d=0.688, g=0.710\n",
            ">99, 149/234, d=0.696, g=0.707\n",
            ">99, 150/234, d=0.694, g=0.703\n",
            ">99, 151/234, d=0.694, g=0.696\n",
            ">99, 152/234, d=0.687, g=0.705\n",
            ">99, 153/234, d=0.686, g=0.690\n",
            ">99, 154/234, d=0.692, g=0.688\n",
            ">99, 155/234, d=0.687, g=0.694\n",
            ">99, 156/234, d=0.687, g=0.695\n",
            ">99, 157/234, d=0.700, g=0.707\n",
            ">99, 158/234, d=0.689, g=0.703\n",
            ">99, 159/234, d=0.685, g=0.708\n",
            ">99, 160/234, d=0.692, g=0.712\n",
            ">99, 161/234, d=0.682, g=0.718\n",
            ">99, 162/234, d=0.691, g=0.722\n",
            ">99, 163/234, d=0.690, g=0.717\n",
            ">99, 164/234, d=0.686, g=0.716\n",
            ">99, 165/234, d=0.694, g=0.714\n",
            ">99, 166/234, d=0.693, g=0.717\n",
            ">99, 167/234, d=0.694, g=0.707\n",
            ">99, 168/234, d=0.686, g=0.704\n",
            ">99, 169/234, d=0.688, g=0.701\n",
            ">99, 170/234, d=0.680, g=0.709\n",
            ">99, 171/234, d=0.691, g=0.709\n",
            ">99, 172/234, d=0.688, g=0.719\n",
            ">99, 173/234, d=0.692, g=0.688\n",
            ">99, 174/234, d=0.687, g=0.694\n",
            ">99, 175/234, d=0.690, g=0.698\n",
            ">99, 176/234, d=0.692, g=0.703\n",
            ">99, 177/234, d=0.692, g=0.715\n",
            ">99, 178/234, d=0.693, g=0.733\n",
            ">99, 179/234, d=0.690, g=0.727\n",
            ">99, 180/234, d=0.689, g=0.727\n",
            ">99, 181/234, d=0.681, g=0.715\n",
            ">99, 182/234, d=0.687, g=0.698\n",
            ">99, 183/234, d=0.690, g=0.690\n",
            ">99, 184/234, d=0.697, g=0.683\n",
            ">99, 185/234, d=0.686, g=0.695\n",
            ">99, 186/234, d=0.692, g=0.694\n",
            ">99, 187/234, d=0.685, g=0.708\n",
            ">99, 188/234, d=0.693, g=0.720\n",
            ">99, 189/234, d=0.702, g=0.712\n",
            ">99, 190/234, d=0.689, g=0.718\n",
            ">99, 191/234, d=0.690, g=0.697\n",
            ">99, 192/234, d=0.702, g=0.683\n",
            ">99, 193/234, d=0.690, g=0.691\n",
            ">99, 194/234, d=0.688, g=0.702\n",
            ">99, 195/234, d=0.687, g=0.718\n",
            ">99, 196/234, d=0.691, g=0.718\n",
            ">99, 197/234, d=0.691, g=0.699\n",
            ">99, 198/234, d=0.683, g=0.700\n",
            ">99, 199/234, d=0.698, g=0.686\n",
            ">99, 200/234, d=0.695, g=0.698\n",
            ">99, 201/234, d=0.693, g=0.715\n",
            ">99, 202/234, d=0.695, g=0.725\n",
            ">99, 203/234, d=0.692, g=0.703\n",
            ">99, 204/234, d=0.693, g=0.706\n",
            ">99, 205/234, d=0.692, g=0.697\n",
            ">99, 206/234, d=0.690, g=0.701\n",
            ">99, 207/234, d=0.689, g=0.706\n",
            ">99, 208/234, d=0.688, g=0.719\n",
            ">99, 209/234, d=0.688, g=0.724\n",
            ">99, 210/234, d=0.680, g=0.716\n",
            ">99, 211/234, d=0.693, g=0.698\n",
            ">99, 212/234, d=0.688, g=0.692\n",
            ">99, 213/234, d=0.698, g=0.693\n",
            ">99, 214/234, d=0.695, g=0.691\n",
            ">99, 215/234, d=0.692, g=0.712\n",
            ">99, 216/234, d=0.688, g=0.713\n",
            ">99, 217/234, d=0.688, g=0.705\n",
            ">99, 218/234, d=0.681, g=0.699\n",
            ">99, 219/234, d=0.687, g=0.704\n",
            ">99, 220/234, d=0.681, g=0.691\n",
            ">99, 221/234, d=0.689, g=0.704\n",
            ">99, 222/234, d=0.688, g=0.713\n",
            ">99, 223/234, d=0.688, g=0.722\n",
            ">99, 224/234, d=0.697, g=0.722\n",
            ">99, 225/234, d=0.694, g=0.708\n",
            ">99, 226/234, d=0.694, g=0.698\n",
            ">99, 227/234, d=0.680, g=0.699\n",
            ">99, 228/234, d=0.681, g=0.682\n",
            ">99, 229/234, d=0.684, g=0.698\n",
            ">99, 230/234, d=0.695, g=0.699\n",
            ">99, 231/234, d=0.694, g=0.716\n",
            ">99, 232/234, d=0.698, g=0.723\n",
            ">99, 233/234, d=0.685, g=0.710\n",
            ">99, 234/234, d=0.693, g=0.707\n",
            ">100, 1/234, d=0.681, g=0.702\n",
            ">100, 2/234, d=0.681, g=0.701\n",
            ">100, 3/234, d=0.694, g=0.709\n",
            ">100, 4/234, d=0.685, g=0.713\n",
            ">100, 5/234, d=0.689, g=0.702\n",
            ">100, 6/234, d=0.674, g=0.707\n",
            ">100, 7/234, d=0.687, g=0.697\n",
            ">100, 8/234, d=0.685, g=0.686\n",
            ">100, 9/234, d=0.683, g=0.687\n",
            ">100, 10/234, d=0.690, g=0.681\n",
            ">100, 11/234, d=0.689, g=0.706\n",
            ">100, 12/234, d=0.687, g=0.708\n",
            ">100, 13/234, d=0.688, g=0.701\n",
            ">100, 14/234, d=0.693, g=0.715\n",
            ">100, 15/234, d=0.690, g=0.719\n",
            ">100, 16/234, d=0.683, g=0.702\n",
            ">100, 17/234, d=0.694, g=0.709\n",
            ">100, 18/234, d=0.686, g=0.701\n",
            ">100, 19/234, d=0.690, g=0.716\n",
            ">100, 20/234, d=0.693, g=0.694\n",
            ">100, 21/234, d=0.692, g=0.696\n",
            ">100, 22/234, d=0.683, g=0.708\n",
            ">100, 23/234, d=0.692, g=0.704\n",
            ">100, 24/234, d=0.695, g=0.707\n",
            ">100, 25/234, d=0.693, g=0.700\n",
            ">100, 26/234, d=0.690, g=0.695\n",
            ">100, 27/234, d=0.684, g=0.685\n",
            ">100, 28/234, d=0.690, g=0.708\n",
            ">100, 29/234, d=0.691, g=0.707\n",
            ">100, 30/234, d=0.690, g=0.691\n",
            ">100, 31/234, d=0.683, g=0.687\n",
            ">100, 32/234, d=0.683, g=0.684\n",
            ">100, 33/234, d=0.696, g=0.703\n",
            ">100, 34/234, d=0.685, g=0.708\n",
            ">100, 35/234, d=0.685, g=0.709\n",
            ">100, 36/234, d=0.687, g=0.698\n",
            ">100, 37/234, d=0.686, g=0.699\n",
            ">100, 38/234, d=0.689, g=0.708\n",
            ">100, 39/234, d=0.694, g=0.710\n",
            ">100, 40/234, d=0.691, g=0.698\n",
            ">100, 41/234, d=0.696, g=0.693\n",
            ">100, 42/234, d=0.710, g=0.707\n",
            ">100, 43/234, d=0.692, g=0.703\n",
            ">100, 44/234, d=0.686, g=0.703\n",
            ">100, 45/234, d=0.692, g=0.699\n",
            ">100, 46/234, d=0.692, g=0.703\n",
            ">100, 47/234, d=0.686, g=0.696\n",
            ">100, 48/234, d=0.690, g=0.696\n",
            ">100, 49/234, d=0.689, g=0.708\n",
            ">100, 50/234, d=0.683, g=0.705\n",
            ">100, 51/234, d=0.684, g=0.696\n",
            ">100, 52/234, d=0.686, g=0.698\n",
            ">100, 53/234, d=0.681, g=0.696\n",
            ">100, 54/234, d=0.693, g=0.698\n",
            ">100, 55/234, d=0.692, g=0.713\n",
            ">100, 56/234, d=0.683, g=0.714\n",
            ">100, 57/234, d=0.695, g=0.714\n",
            ">100, 58/234, d=0.679, g=0.708\n",
            ">100, 59/234, d=0.690, g=0.712\n",
            ">100, 60/234, d=0.695, g=0.696\n",
            ">100, 61/234, d=0.682, g=0.686\n",
            ">100, 62/234, d=0.696, g=0.695\n",
            ">100, 63/234, d=0.690, g=0.699\n",
            ">100, 64/234, d=0.684, g=0.704\n",
            ">100, 65/234, d=0.685, g=0.699\n",
            ">100, 66/234, d=0.692, g=0.702\n",
            ">100, 67/234, d=0.692, g=0.724\n",
            ">100, 68/234, d=0.693, g=0.729\n",
            ">100, 69/234, d=0.688, g=0.713\n",
            ">100, 70/234, d=0.691, g=0.700\n",
            ">100, 71/234, d=0.688, g=0.686\n",
            ">100, 72/234, d=0.690, g=0.682\n",
            ">100, 73/234, d=0.681, g=0.691\n",
            ">100, 74/234, d=0.694, g=0.716\n",
            ">100, 75/234, d=0.677, g=0.724\n",
            ">100, 76/234, d=0.684, g=0.702\n",
            ">100, 77/234, d=0.691, g=0.694\n",
            ">100, 78/234, d=0.693, g=0.681\n",
            ">100, 79/234, d=0.692, g=0.691\n",
            ">100, 80/234, d=0.690, g=0.709\n",
            ">100, 81/234, d=0.693, g=0.726\n",
            ">100, 82/234, d=0.697, g=0.730\n",
            ">100, 83/234, d=0.690, g=0.726\n",
            ">100, 84/234, d=0.695, g=0.720\n",
            ">100, 85/234, d=0.691, g=0.696\n",
            ">100, 86/234, d=0.692, g=0.695\n",
            ">100, 87/234, d=0.694, g=0.678\n",
            ">100, 88/234, d=0.686, g=0.698\n",
            ">100, 89/234, d=0.689, g=0.720\n",
            ">100, 90/234, d=0.685, g=0.713\n",
            ">100, 91/234, d=0.693, g=0.711\n",
            ">100, 92/234, d=0.686, g=0.699\n",
            ">100, 93/234, d=0.687, g=0.708\n",
            ">100, 94/234, d=0.687, g=0.704\n",
            ">100, 95/234, d=0.696, g=0.692\n",
            ">100, 96/234, d=0.698, g=0.700\n",
            ">100, 97/234, d=0.688, g=0.704\n",
            ">100, 98/234, d=0.690, g=0.701\n",
            ">100, 99/234, d=0.682, g=0.702\n",
            ">100, 100/234, d=0.685, g=0.701\n",
            ">100, 101/234, d=0.693, g=0.708\n",
            ">100, 102/234, d=0.694, g=0.707\n",
            ">100, 103/234, d=0.685, g=0.698\n",
            ">100, 104/234, d=0.683, g=0.709\n",
            ">100, 105/234, d=0.695, g=0.706\n",
            ">100, 106/234, d=0.692, g=0.689\n",
            ">100, 107/234, d=0.694, g=0.686\n",
            ">100, 108/234, d=0.685, g=0.699\n",
            ">100, 109/234, d=0.689, g=0.708\n",
            ">100, 110/234, d=0.689, g=0.720\n",
            ">100, 111/234, d=0.690, g=0.726\n",
            ">100, 112/234, d=0.681, g=0.717\n",
            ">100, 113/234, d=0.693, g=0.704\n",
            ">100, 114/234, d=0.699, g=0.689\n",
            ">100, 115/234, d=0.688, g=0.703\n",
            ">100, 116/234, d=0.700, g=0.711\n",
            ">100, 117/234, d=0.689, g=0.702\n",
            ">100, 118/234, d=0.692, g=0.703\n",
            ">100, 119/234, d=0.688, g=0.686\n",
            ">100, 120/234, d=0.699, g=0.680\n",
            ">100, 121/234, d=0.690, g=0.691\n",
            ">100, 122/234, d=0.693, g=0.694\n",
            ">100, 123/234, d=0.694, g=0.697\n",
            ">100, 124/234, d=0.691, g=0.710\n",
            ">100, 125/234, d=0.695, g=0.701\n",
            ">100, 126/234, d=0.690, g=0.691\n",
            ">100, 127/234, d=0.699, g=0.695\n",
            ">100, 128/234, d=0.681, g=0.714\n",
            ">100, 129/234, d=0.690, g=0.717\n",
            ">100, 130/234, d=0.687, g=0.703\n",
            ">100, 131/234, d=0.687, g=0.707\n",
            ">100, 132/234, d=0.690, g=0.691\n",
            ">100, 133/234, d=0.690, g=0.700\n",
            ">100, 134/234, d=0.690, g=0.709\n",
            ">100, 135/234, d=0.692, g=0.692\n",
            ">100, 136/234, d=0.689, g=0.698\n",
            ">100, 137/234, d=0.687, g=0.703\n",
            ">100, 138/234, d=0.694, g=0.693\n",
            ">100, 139/234, d=0.692, g=0.710\n",
            ">100, 140/234, d=0.694, g=0.722\n",
            ">100, 141/234, d=0.683, g=0.708\n",
            ">100, 142/234, d=0.693, g=0.715\n",
            ">100, 143/234, d=0.693, g=0.710\n",
            ">100, 144/234, d=0.688, g=0.710\n",
            ">100, 145/234, d=0.691, g=0.708\n",
            ">100, 146/234, d=0.690, g=0.716\n",
            ">100, 147/234, d=0.683, g=0.716\n",
            ">100, 148/234, d=0.691, g=0.692\n",
            ">100, 149/234, d=0.690, g=0.675\n",
            ">100, 150/234, d=0.683, g=0.674\n",
            ">100, 151/234, d=0.691, g=0.696\n",
            ">100, 152/234, d=0.688, g=0.718\n",
            ">100, 153/234, d=0.686, g=0.709\n",
            ">100, 154/234, d=0.690, g=0.713\n",
            ">100, 155/234, d=0.684, g=0.710\n",
            ">100, 156/234, d=0.686, g=0.727\n",
            ">100, 157/234, d=0.702, g=0.724\n",
            ">100, 158/234, d=0.691, g=0.721\n",
            ">100, 159/234, d=0.687, g=0.710\n",
            ">100, 160/234, d=0.687, g=0.703\n",
            ">100, 161/234, d=0.687, g=0.703\n",
            ">100, 162/234, d=0.695, g=0.707\n",
            ">100, 163/234, d=0.698, g=0.693\n",
            ">100, 164/234, d=0.680, g=0.693\n",
            ">100, 165/234, d=0.679, g=0.688\n",
            ">100, 166/234, d=0.685, g=0.713\n",
            ">100, 167/234, d=0.691, g=0.709\n",
            ">100, 168/234, d=0.682, g=0.707\n",
            ">100, 169/234, d=0.689, g=0.694\n",
            ">100, 170/234, d=0.682, g=0.714\n",
            ">100, 171/234, d=0.685, g=0.701\n",
            ">100, 172/234, d=0.686, g=0.694\n",
            ">100, 173/234, d=0.682, g=0.696\n",
            ">100, 174/234, d=0.688, g=0.703\n",
            ">100, 175/234, d=0.691, g=0.691\n",
            ">100, 176/234, d=0.691, g=0.700\n",
            ">100, 177/234, d=0.697, g=0.707\n",
            ">100, 178/234, d=0.687, g=0.707\n",
            ">100, 179/234, d=0.696, g=0.713\n",
            ">100, 180/234, d=0.683, g=0.701\n",
            ">100, 181/234, d=0.682, g=0.704\n",
            ">100, 182/234, d=0.687, g=0.698\n",
            ">100, 183/234, d=0.694, g=0.684\n",
            ">100, 184/234, d=0.686, g=0.693\n",
            ">100, 185/234, d=0.690, g=0.704\n",
            ">100, 186/234, d=0.688, g=0.703\n",
            ">100, 187/234, d=0.691, g=0.715\n",
            ">100, 188/234, d=0.690, g=0.710\n",
            ">100, 189/234, d=0.688, g=0.716\n",
            ">100, 190/234, d=0.696, g=0.716\n",
            ">100, 191/234, d=0.689, g=0.695\n",
            ">100, 192/234, d=0.686, g=0.694\n",
            ">100, 193/234, d=0.680, g=0.695\n",
            ">100, 194/234, d=0.695, g=0.702\n",
            ">100, 195/234, d=0.695, g=0.716\n",
            ">100, 196/234, d=0.686, g=0.716\n",
            ">100, 197/234, d=0.693, g=0.715\n",
            ">100, 198/234, d=0.691, g=0.699\n",
            ">100, 199/234, d=0.687, g=0.687\n",
            ">100, 200/234, d=0.697, g=0.692\n",
            ">100, 201/234, d=0.690, g=0.701\n",
            ">100, 202/234, d=0.689, g=0.713\n",
            ">100, 203/234, d=0.687, g=0.730\n",
            ">100, 204/234, d=0.687, g=0.705\n",
            ">100, 205/234, d=0.693, g=0.697\n",
            ">100, 206/234, d=0.691, g=0.686\n",
            ">100, 207/234, d=0.692, g=0.701\n",
            ">100, 208/234, d=0.687, g=0.706\n",
            ">100, 209/234, d=0.692, g=0.722\n",
            ">100, 210/234, d=0.698, g=0.714\n",
            ">100, 211/234, d=0.691, g=0.714\n",
            ">100, 212/234, d=0.691, g=0.705\n",
            ">100, 213/234, d=0.690, g=0.703\n",
            ">100, 214/234, d=0.686, g=0.703\n",
            ">100, 215/234, d=0.695, g=0.708\n",
            ">100, 216/234, d=0.688, g=0.701\n",
            ">100, 217/234, d=0.688, g=0.702\n",
            ">100, 218/234, d=0.683, g=0.694\n",
            ">100, 219/234, d=0.688, g=0.700\n",
            ">100, 220/234, d=0.695, g=0.702\n",
            ">100, 221/234, d=0.688, g=0.708\n",
            ">100, 222/234, d=0.687, g=0.717\n",
            ">100, 223/234, d=0.692, g=0.716\n",
            ">100, 224/234, d=0.692, g=0.711\n",
            ">100, 225/234, d=0.686, g=0.708\n",
            ">100, 226/234, d=0.681, g=0.706\n",
            ">100, 227/234, d=0.686, g=0.711\n",
            ">100, 228/234, d=0.689, g=0.710\n",
            ">100, 229/234, d=0.689, g=0.699\n",
            ">100, 230/234, d=0.690, g=0.694\n",
            ">100, 231/234, d=0.690, g=0.691\n",
            ">100, 232/234, d=0.687, g=0.700\n",
            ">100, 233/234, d=0.691, g=0.702\n",
            ">100, 234/234, d=0.690, g=0.713\n",
            ">Accuracy real: 6%, fake: 97%\n",
            "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SemVk0vdOlgZ"
      },
      "source": [
        "##Prediction on an array of 1's after 10 epochs:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "nIC3cCGZOlHB",
        "outputId": "9533575b-c1e2-4d30-85f2-94fe48df228e"
      },
      "source": [
        "from keras.models import load_model\n",
        "from numpy import asarray\n",
        "from matplotlib import pyplot\n",
        "model = load_model('/content/generator_model_010.h5')\n",
        "vector = asarray([[1.0 for _ in range(100)]])\n",
        "X = model.predict(vector)\n",
        "pyplot.imshow(X[0, :, :, 0], cmap='gray')\n",
        "pyplot.show()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AWMj9Wc1Oyzu"
      },
      "source": [
        "##Prediction on an array of 1's after 20 epochs:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "zIo200irOwYp",
        "outputId": "21a7426a-baaf-46f5-f34a-0f29b84a1976"
      },
      "source": [
        "from keras.models import load_model\n",
        "from numpy import asarray\n",
        "from matplotlib import pyplot\n",
        "model = load_model('/content/generator_model_020.h5')\n",
        "vector = asarray([[1.0 for _ in range(100)]])\n",
        "X = model.predict(vector)\n",
        "pyplot.imshow(X[0, :, :, 0], cmap='gray')\n",
        "pyplot.show()"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UjE7gmqDObrj"
      },
      "source": [
        "##Prediction on an array of 1's after a 100 epochs:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "id": "Vok6HmtqNoUW",
        "outputId": "fa413405-2949-4be1-f526-9e320108a30c"
      },
      "source": [
        "from keras.models import load_model\n",
        "from numpy import asarray\n",
        "from matplotlib import pyplot\n",
        "model = load_model('/content/generator_model_100.h5')\n",
        "vector = asarray([[1.0 for _ in range(100)]])\n",
        "X = model.predict(vector)\n",
        "pyplot.imshow(X[0, :, :, 0], cmap='gray')\n",
        "pyplot.show()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gMk2N6wnjvWg"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}