Evaluation_ENPDataset.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Evaluation_ENPDataset.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hEU68mhn985n",
        "outputId": "d1b7183a-ea0c-4481-a8b4-5082de901fb6"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/gdrive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FrdbZpxb-McT"
      },
      "source": [
        "import pickle\n",
        "import os\n",
        "import json\n",
        "import numpy as np\n",
        "import random\n",
        "#from PIL import Image\n",
        "import torch\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from torchvision import transforms\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "from torch.utils.data import Dataset, DataLoader\n",
        "from torchvision import transforms, utils\n",
        "from torch.utils.data import sampler\n",
        "import torch.nn.functional as F\n",
        "\n",
        "from skimage.transform import resize\n",
        "from skimage import io, transform, util\n",
        "from scipy.signal import argrelextrema\n",
        "from sklearn.metrics import pairwise_distances\n",
        "from operator import itemgetter\n",
        "from skimage.filters import threshold_mean\n",
        "\n",
        "\n",
        "from skimage.util import img_as_uint #crop\n",
        "from skimage.color import rgb2gray\n",
        "import sys\n",
        "\n",
        "from scipy.stats import ks_2samp, anderson_ksamp\n",
        "\n",
        "from keras.models import load_model\n",
        "import h5py\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "device = torch.device('cuda') #torch.cuda.get_device_name(0)\n",
        "dtype = torch.float32\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7YXVimRBcdr1",
        "outputId": "765d5863-cf2d-4f25-99a2-967bf9eb7d67"
      },
      "source": [
        "!pip install python-levenshtein\n",
        "from Levenshtein import distance as levenshtein_distance"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting python-levenshtein\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/42/a9/d1785c85ebf9b7dfacd08938dd028209c34a0ea3b1bcdb895208bd40a67d/python-Levenshtein-0.12.0.tar.gz (48kB)\n",
            "\r\u001b[K     |██████▊                         | 10kB 28.5MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 20kB 20.6MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 30kB 11.4MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 40kB 9.0MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 51kB 3.7MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from python-levenshtein) (50.3.2)\n",
            "Building wheels for collected packages: python-levenshtein\n",
            "  Building wheel for python-levenshtein (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for python-levenshtein: filename=python_Levenshtein-0.12.0-cp36-cp36m-linux_x86_64.whl size=144799 sha256=2cd336831b467a409ddb2733c1f59674b1683b10d0dfb5ee9a67bb3db570a209\n",
            "  Stored in directory: /root/.cache/pip/wheels/de/c2/93/660fd5f7559049268ad2dc6d81c4e39e9e36518766eaf7e342\n",
            "Successfully built python-levenshtein\n",
            "Installing collected packages: python-levenshtein\n",
            "Successfully installed python-levenshtein-0.12.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wc575Mxt-Vnu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0d01f5d9-ba70-4cd3-bea6-0b441f4a5569"
      },
      "source": [
        "!unzip '/gdrive/My Drive/datasets/prima-newspaper.zip'\n",
        "\n",
        "pkl_file = open('lines_list_all.pkl', 'rb')\n",
        "lines_list_all = pickle.load(pkl_file)\n",
        "pkl_file.close()\n",
        "\n",
        "pkl_file = open('ground_truth_all.pkl', 'rb')\n",
        "ground_truth = pickle.load(pkl_file)\n",
        "pkl_file.close()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /gdrive/My Drive/datasets/prima-newspaper.zip\n",
            "  inflating: ground_truth_all.pkl    \n",
            "  inflating: lines_list_all.pkl      \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1tkTZlLzOf22",
        "outputId": "b2e9e76d-aa72-478a-ddae-e745acb93229"
      },
      "source": [
        "label_map = {'(': 0, ')': 1, ',': 2, '.' :3, '-': 4, '/': 5, '<': 6, ' ':7}\n",
        "for i in range(10):\n",
        "    label_map[chr(48+i)] = 8+i\n",
        "for i in range(26):\n",
        "    label_map[chr(65+i)] = 18+i\n",
        "for i in range(26):\n",
        "    label_map[chr(97+i)] = 44+i\n",
        "\n",
        "class SegmentaionMidv500(Dataset):\n",
        "\n",
        "    def __init__(self, transform=None): #process -> resize or append\n",
        "        \"\"\"\n",
        "        Args:\n",
        "            root_dir (string): Directory with all the images.\n",
        "            transform (callable, optional): Optional transform to be applied\n",
        "                on a sample.\n",
        "        \"\"\"\n",
        "        # self.root_dir = root_dir        \n",
        "        self.transform = transform\n",
        "        self.sample_list = []\n",
        "        for xml_file in lines_list_all:\n",
        "            for reg in lines_list_all[xml_file]:\n",
        "              if len(lines_list_all[xml_file][reg]) != len(ground_truth[xml_file][reg]):\n",
        "                continue\n",
        "              \n",
        "              line_ = 0\n",
        "              for line in lines_list_all[xml_file][reg]:\n",
        "                  flag=0\n",
        "                  for c in ground_truth[xml_file][reg][line_]:\n",
        "                    if c not in label_map:\n",
        "                      flag = 1\n",
        "                      break\n",
        "                  if flag ==1:\n",
        "                    continue\n",
        "                  line = img_as_uint(line)\n",
        "                  if line.shape[0]>33:\n",
        "                    line_new = resize(line[int(line.shape[0]/2)-16: int(line.shape[0]/2)+16], (33,700))\n",
        "                  else:\n",
        "                    line_new = resize(line, (33,700))\n",
        "                  print(ground_truth[xml_file][reg][line_])\n",
        "                  plt.figure()\n",
        "                  plt.imshow(line_new, cmap='gray')\n",
        "                  plt.show()\n",
        "                  sample = {}\n",
        "                  sample['image'] = line_new.reshape(1,33,700)\n",
        "                  sample['landmark'] = -1\n",
        "                  sample['value'] = ground_truth[xml_file][reg][line_]\n",
        "                  # word_list_dict[ind] = [xml_file, reg, line_]\n",
        "                  self.sample_list.append(sample)\n",
        "                  line_ += 1\n",
        "\n",
        "\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.sample_list)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        if torch.is_tensor(idx):\n",
        "            idx = idx.tolist()\n",
        "        if self.transform:\n",
        "            for item in range(len(self.sample_list)):\n",
        "                self.sample_list[item] = self.transform(self.sample_list[item])\n",
        "        return self.sample_list[idx]\n",
        "\n",
        "\n",
        "class ToTensor(object):\n",
        "    \"\"\"Convert ndarrays in sample to Tensors.\"\"\"\n",
        "\n",
        "    def __call__(self, sample):\n",
        "        image, landmarks, val = sample['image'], sample['landmark'], sample['value']\n",
        "\n",
        "        # swap color axis because\n",
        "        # numpy image: H x W x C\n",
        "        # torch image: C X H X W\n",
        "        \n",
        "        #image = image.transpose((2, 0, 1))\n",
        "        if not torch.is_tensor(image):\n",
        "            image = torch.from_numpy(image)\n",
        "        if not torch.is_tensor(landmarks):\n",
        "            landmarks = torch.tensor(landmarks)\n",
        "        return {'image': image,\n",
        "                'landmark': landmarks, 'value': val}\n",
        "\n",
        "test_dataset = SegmentaionMidv500(transform=transforms.Compose([ToTensor()]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Now, as what we buy becomes our own, I am ready\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "It is well known to the World, that, when a certain\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ECCAWi0UOHDhw1e/NmzdPLBZLnf4UGBgo8+fPr3NNGY1GmTt3rgwZMkQsFotERERIXFycbNmyRV599VWtnqenp8yZM0defvllrV/FxcXJ+fPnZePGjWK1WsVkMsnChQultLRUHn30URk5cqTcd999Vxw0XcmAX9MHrpQKV0ptUkodUUodVkq9WFM+TSmVrZTaX7M8fK1t3QqOHj2qBQkWLVpETk4O4PbHDRs2jICAAMrLy3E6nWzdupWqqioAysvLOXnyZJ1tGY1G+vbti4eHBx4eHgwbNowXX3wRgJYtW9K5c2eioqKIjo7GarWybNkyLXPE4XBw6NAhzR9W6wOvJTs7+6qP0zExMSQlJeHj40NMTEydQFVERAT//Oc/iYyMxGazYbPZWLx4MWVlZQwdOpQ///nPeHh4aGW1j31Wq5UjR46Qm5uLUooWLVrQtm1boqOjSUlJYdCgQSilMBqN/PGPfyQqKkrbj6tFy2NiYpgzZw67du1i8+bNBAUF8cwzz9C2bVuOHj3Kf/3Xf10xC8FsNvPcc8/h7e2Nv78/7777Lpe+7HXfffcxa9YsunXrRkVFBQUFBXz77beXbaeysrJBASGlFP369cPLy4ujR4/y1ltvATBlyhR8fHzIzs7mySefpKSkhF69etGkSRP27dtHRkYGvXv3Zv369YwbN478/Hy2bdtGQkICJpMJp9NJbGwsVqu1TnsbN27E4XDw+eefs2jRIgIDA7FYLL8q8Ojv76/llfft25cWLVpo60aNGsUbb7xBQkICFRUVKKVISkri+eef57333sPb21ur2759e8xmMy+88ALTp0+/riwbf39/HnzwQcDdn5o1a6bti5+fH/fccw9Wq5U+ffoA4O3tjYeHB1OmTOH111/XXGMA27dvrxPIFxGOHz+uaY2IiGDJkiW0bduWoqIitm/fflVtRqMRb29vIiIimDFjRoP8yyJCbm4uNpuN6OhoUlNTiY2NpaioiL/+9a+UlJRodZ1OJ+np6YA79nP27FnNXRgdHY2npycGg4GnnnqKbt268eGHH2oxN4fDgd1uJzk5mYceekjbpsvlIjc3l08//ZTDhw9z/vx5Vq1axe7du6+pHRoWxHQAL4lIPNAVeE4pFV+zbo6IJNUsqxrU4m9Mnz59MBgM9OjRgylTptCyZUttXXx8vHaBVVZWcv78eW2dl5dXnQuilq5du9aJoNd2wJycHM6cOUNOTo6WCfDll1/WMVRX8ysmJiZqvutLsdvt2O12ysrKWLhwIX5+fowaNQqj0UhCQgIGg4Hg4GD69u1LWFgY4E5dW7duHT4+Prz55pvMmDGDhIQELly4QE5ODg8//DBms5ny8nItu6WqqootW7aQnp5OSkoKAQEB2r41bdqUqVOnMnnyZCwWC15eXvXuS22HbdeuHbGxsezatQuXy8XYsWOZM2cOjz76KEopysrKrppGZrVaUUrh7e19WbCrNghWayScTifl5eUopQgODqZp06YopQgMDGywUezatSsREREcO3aM1atXk5yczOOPP07Tpk1xOBzk5OQQGRnJpEmTsFgs5OfnIyKMGDGC2NhYOnTogNPp5MSJE5pRHTRoEB999JEWizGZTJhMJo4fP0737t3p1q0bSUlJBAQE0K1bt3rP/bWIiYkhPDwcDw8Punfvrp0To9FIUFAQZrNZ88MrpfjLX/5CmzZtWLJkCRUVFdp22rZtS2hoKGPHjsXPz++6NCil6NSpE0optm3bRllZGX5+frhcLtatW8f27dvp3LkzycnJKKXo0aMHJpMJq9V6WT+qfakvODiY8PBwIiMjGTx4sLb+3nvv5b777iMuLk4LOl+NkJAQJk+eTGFhIampqdjtdiwWy1VjIzabjR07dgDugPX06dP5+OOPmThxItXV1RgMBkJDQwkPDycqKorExESGDRsGQK9evZgyZQodO3bUDHhQUBAvv/wyTZo0oVWrVrz//vs8+OCDZGVlkZGRgY+PD/fcc89lOvz9/Zk/fz5/+MMfcDqdDU4LveatV0TOAedq/i9VSqXhfo3+jqQ293bChAl1gpiX0r59e3x8fAgPD9fKYmNjad269WV1fX196dSpE/v37ycjI0MLnGVlZfHGG29w/PhxHnnkEQ4ePMjFixcxGAw0a9YMs9lMmzZtCAwMrFfDgQMHqKysrPOmHrizDE6dOkVhYSEul4vp06drN6HExMR6jdTp06cpKyurY4RrERFiY2Mxm83MnTuX4OBgRowYwebNm/nss88oKipizJgxKKU0A2A0GrFYLNpx6tatW72jtM6dO+Pv7899992HUoqffvoJq9XKyJEj8fLyIjw8/LpGmmVlZeTn5/O73/2uTrnL5eLUqVN1yiwWC++99x6hoaFs2LCBwYMHX7bvVyI4OJhmzZqRnp6uZbyEhoby+9//nnnz5gEwaNAgLVto7dq1GAwGunTpctm2zp8/T0VFBe3btyc4OFgzNM2bNycuLo7ly5eTlJRUZzTo7e2tGTIRue4sEg8PDzp06KB99vHxoW3btpfVS09PZ9KkSZSWlta5gZ46dQqj0VhH0/XoSElJoXXr1nzzzTfk5eUxduxYNmzYoAV+33rrLa1fZ2ZmXnbz3rNnj/b0qZRi7ty5dOvWDXCnkG7ZsgWANm3aaBqVUlgslmtqq82Lr02RjI+P19I660NEtLq1GUo9evQgKSmJ//7v/8bLy4s1a9bg7+8PQLNmzdi6dStKKVJTU+nZs2ed7dU+BYSGhpKamsqaNWv47LPP8PX1pUmTJlfUERAQQHJyMk2aNGHFihXX3M9arus5TikVBXQAdtYUPa+UOqiUWqiUqledUmqMUmqPUmrPhQsXrqe5X0VsbKw2mrsSSUlJWCwWhg4dSvPmzQkICODw4cNs3LjxsroGg4HevXujlOKTTz7hyy+/1EYVS5cu1TI1Dhw4gM1mo1WrVnz33Xfs2LGDzz777IoZHDabrd5H/urqaux2OzabjerqavLz87V1l46i6qNv3774+/tz/vx50tLS8PPzIzw8nBYtWtCiRQv27t1LWloaL7/8MnFxcZw4cYKqqipSUlIwGAxER0drnRjQ8pWvdGHXugLOnDmDiNRxH9hsNjZu3HjdLyrUXuyXXvQmk4mUlBQcDgdOpxMvLy9tpBwVFUVcXFwdo3g9mM1m4uPjMRgM2rkKCAjgscce0+o8+OCDuFwu/vWvf+FyuaioqLjiE0VVVRVbt26lvLycrKwsduzYwf79++sdURUUFPDBBx/w+eefN8j9k5GRwdmzZ+sYHRGhtLSUQ4cOafWqq6txOBykpaVRXFzMn/70J8xmMydOnNAyZoqLizl37hwA586d4+2332bdunUNypLx8/Pj2WefpaCggB9++IHHH3+cjh07Ulpair+/v5ZrLyKkpaXhcrnqHK9du3bhcDjo3Lmz5rJr2rTpZYOZS/Po/fz8tHcDrsSpU6f429/+RmBgIGPHjsVoNHLgwAHWrVt31e/V9ps9e/ZQXV192VO0n58fYWFhNGnSRMvsAq5oY0Tc8798+umnLFiwgIKCAoKCgggJCbmihrCwMPz8/K74tHslGmzAlVI+wBfAOBEpAeYB0UAS7hH621fYmfki0llEOjdrdtlcLL+aWpcCoPmXwJ1naTAYrvqSwsGDBykoKGDhwoXMmzeP6dOnU1paypEj9c+Em5ycTEhICD/88AO+vr588sknxMbGAtCzZ0+aN29OQkICnp6eXLhwgczMTAICAnC5XDgcjnof/a7mUgC368DX15fFixezdetWAFatWoXD4cDhcFBeXo7dbkdECAkJwcfHhxMnTmCz2di9ezfl5eWAuwO2bNlScw+FhYURGBhI69atUUrRrFkzunbtCrhT0fLy8nC5XFRVVbFz506Ki4vZtm3bVS/s7777jszMTPr160d5eTkzZ85k+fLlrF69us4j97WoqqpixYoVVFZWaj7A2hva6dOnuXDhAllZWfTt2xe73U5qaip33303Tz31FDNnztTiGddCKaWN+GpdHQD3338/np6eBAQE1Bm1+fr64nQ6mTFjBps2bWLhwoUopYiOjtYM87Fjx3A6nVpefHFxMQUFBdxzzz2sX7+eFStWcOjQIYqLizXDNGXKFMaPH8/EiRO1WM3VsNvtOBwOKisrWbZsmTa3i8PhoLi4WLsO9u7dqz0p1sZHHA4H+/btY82aNXh7e1NcXMzSpUux2+2sX7+e//zP/2TYsGENGv0ppUhISMDDwwODwYDVauWJJ57QngSio6MBNFdAbRyldr9LS0tJS0sjOTkZEeGZZ57h2WefpXfv3nXiRJs2baK8vBybzYbBYLjMwP+STZs2UVJSQklJCZs2bdLcbStWrLiiS8JsNmtPfAsWLOCll15i5syZHDx4kC5dupCfn8/IkSOZNm0aY8aM4cSJEyxZsqTOTbT2OLtcLsrKyvjnP/9Jeno6GzduJDU1lQEDBlBQUFDHZevh4VHnfZCQkBCsVivHjh27rlTTBhlwpZQZt/H+p4h8CSAiuSLiFBEXsAD39LK3jIKCAs1oHzlyhK+//lozii6Xi3nz5nHmzJk6I8DS0lJcLhc//fQTOTk57Ny5k6+++gpwH9BfPrrXEhgYqPlmIyMjiYqK0gKDAQEB2s3EYrFw8eJFXnzxRR5//HEeeOABTp8+rY0AqqqqOHv2LBcuXKCsrIxdu3Zd1pbdbsflchEaGsrEiRMpKSnhr3/9K2fOnOHnn39GREhPT9cmYqqsrCQzM5Pg4GB27drF9OnT+fDDD3E4HNpdHdBGLxaLBZPJROvWrTEYDNx9993ayHnVqlWavh07drB3715cLhcXL16sd4RoNBoxmUxkZGQwZcoU4uLi8PX15bPPPuOZZ56hpKREy+u+mgG3Wq0kJiZSVVXFnDlzWLVqlRaorJ1savfu3VpuelJSkpaDnZOTc9UR8ZUYPnw4MTExJCcnawbHx8cHDw8P2rRpU2d0FRUVRVBQEGfOnGHIkCFs2bKFqKgounfvzubNm3G5XKSlpeF0Otm5cyenTp3C6XSSkZFBhw4dKCsrY/To0QwbNozCwkL+9a9/UVlZSVFREQ6Hg+zsbPbt23dNzbW+YpfLxfr168nKytKMybfffsupU6c4fvw4VVVV7N69W4tRlJSU1HmBKDg4mPbt2zN//nxef/11duzYoU20tXjx4mv6mgFCQ0MJCQlBRLDZbERFRdGnTx/uvfdeze1RUFDATz/9hMvl4vjx4+zevRubzUZRURFLly7FYDBgMpkoKChg8eLFpKenY7PZtIFUVlYWBw8e1AYw1xoE9OrVC19fXyoqKsjIyNB832fOnLmqAR8wYABWqxWbzcb777/P1KlTWbBggRZD27x5MzNmzODLL7/k5MmT2pPwmjVrtO3k5+fjcDgoKytj9uzZpKWlISJMnTqVr7/+mvz8fL7//nsqKirYsWMHdrtde3IF2Lt3L9nZ2Rw9ehS73d7gt2QbkoWigH8AaSLyziXll0b8HgV+blCLN4HawNuSJUsAt2vh1VdfrdPx1q5dS/fu3Vm/fj3gHg2888475Obmkp+fz+bNmxERli5dyuTJk/Hw8CAmJqbe9nx8fOqMyEwmE7GxsRiNRu6//34MBgM+Pj7aHfXs2bN8/fXX5OXl4XA4qK6uxuVysWnTJj7//HPOnj1LeXk5b7/99mUda9euXRQWFnLmzBm+++47qqur2bFjB19++aVWp7y8nOXLl1NVVaWlEz355JPYbDbeeustfvzxR8D96F/7FuHgwYMJDAzkqaeewmq1Eh8fj5eXF507d9YuuNpRr9Pp5OTJk/z8s/uUbtmyhYsXL152XKKjo7VjduTIEVq3bk1SUhIOh0Pr5EOHDr3ma9R+fn6MHTsWk8mEw+HAZDLRt29fwD0yiY+Pp1OnTvj5+REZGUn//v3r+IBbtWrFtGnTrjlCu5SkpCR27tzJF198ofkm27Rpw5tvvslrr71Wx58eGxur+b+Li4vx9PRk9uzZREVFaaP+Nm3aYDQaqa6uxul0akZrxIgR9OnTh4qKCoqLiwF3doXJZNLcVQ0NWoWFhfHBBx+QmJhIeHg4Pj4+hIWF4eXlRd++fWnSpAljxoyhadOmHJpmaJIAAAWRSURBVDhwgL59+9K7d2+mTJnCnDlzmD17Nv3796d58+b8/e9/JywsjBkzZhAfH6+dx+PHjzfIeERHRzN//nxeeOEF8vLy8PHxYdGiRUyYMEGr4+3tzdixY5k+fTpPP/00vXr1YurUqUybNk17qa42qwvc57E2ZhQVFUWHDh0ICAggMjKSoKAgbV6VK9GqVSs+/PBDpk6dytKlS5k1axZBQUFan78SDz/8cJ34hlKKyMhIYmNjef7557V+delADqhjbzp06EBoqDs06HQ6CQ0NpXv37thsNlJSUrQY0fbt21m1ahV2u51169ZpiQZnz55l586dnDhxAhFh9erV1zwH0IBf5FFK9QC2AoeA2mHYX4HhuN0nApwGnqkJeF5tW6VAeoOU3Zk0BfKvWevORdd/e2nM+huzdmj8+iOlnvnAf/VPqv0alFJ7RKTzLWvwJqPrv73o+m8fjVk7NH79V0L/VXodHR2dRopuwHV0dHQaKbfagM+/xe3dbHT9txdd/+2jMWuHxq+/Xm6pD1xHR0dH5+ahu1B0dHR0Gim6AdfR0dFppNwyA66Uekgpla6UylBKTbxV7V4PNXO65Cmlfr6kLFAptU4pdbzmb5OacqWUeq9mfw4qpW7Cz2v8eq4y7W9j0W9RSu1SSh2o0T+9pvwupdTOGp3LlPsHtFFKedZ8zqhZH3U79deilDIqpX5SSn1b87nR6FdKnVZKHVLu6aH31JQ1lv4ToJRarpQ6qpRKU0p1ayzab4RbYsCVUkbgA+D3QDwwXP17Sto7iUXAQ78omwhsEJHfARtqPoN7X35Xs4zBPTfM7eRK0/42Fv1VwP0ikoj7BbGHlFJdgddxT1scAxQB/1FT/z+AopryOTX17gRexP0j37U0Nv29aqaHrs2Zbiz9511gjYjEAYm4z0Fj0f7rqe9XHm72AnQDvr/k8yvAK7ei7V+hNQr4+ZLP6UCLmv9bAOk1//8dGF5fvTthAb4GHmiM+gFvYB9wN+6350y/7EfA90C3mv9NNfXUbdYdhttQ3A98C6hGpv800PQXZXd8/wH8gVO/PH6NQfuNLrfKhRIKZF7yOYs7eE7xX9Bc/j1FwHmgdkKGO3afVN1pfxuN/hr3w34gD1gHnACKRaR2erZLNWr6a9ZfBOqfu/fW8TfgZf495UQQjUu/AGuVUnuVUmNqyhpD/7kLuAB8UuO++lgpZaVxaL8h9CDmdSDu2/UdnXepLp/2V+NO1y/u2S2TcI9kuwBx1/jKHYNSqj+QJyJ7b7eWG6CHiHTE7WJ4Til136Ur7+D+YwI6AvNEpANQzr/dJcAdrf2GuFUGPBsIv+RzWE1ZYyBX1cy8WPM3r6b8jtsnVc+0vzQi/bWISDGwCbfLIUApVftzQJdq1PTXrPcHCm6x1EvpDgxQSp0G/ge3G+VdGo9+RCS75m8e8BXum2hj6D9ZQJaI1P7QzHLcBr0xaL8hbpUB3w38riYi7wEMA765RW3fKN8AI2v+H4nbt1xb/mRNRLsrcFGuMRvjb4lS9U/7S+PR30wpFVDzvxdu/30abkM+pKbaL/XX7tcQYGPNKOu2ICKviEiYiETh7t8bRWQEjUS/UsqqlPKt/R94EPcU0Xd8/xGR80CmUiq2pqg3cIRGoP2GuYWBhoeBY7j9mpNut/P/ChqX4v51ITvuu/p/4PZLbgCOA+uBwJq6CndmzQncU+12vs3ae+B+RDwI7K9ZHm5E+hOAn2r0/wyk1pS3AnYBGcDngGdNuaXmc0bN+la3u/9csi89gW8bk/4anQdqlsO112gj6j9JwJ6a/rMCaNJYtN/Ior9Kr6Ojo9NI0YOYOjo6Oo0U3YDr6OjoNFJ0A66jo6PTSNENuI6Ojk4jRTfgOjo6Oo0U3YDr6OjoNFJ0A66jo6PTSPn/D98S29kgetUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Now, whether the War with Spain was a right, or a\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "on a Letter wrote by the Province of Utrecht to the States\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Monday Admiral Vernon took the Oaths and his Seat\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "General Wentworth is gone down to Witchurch in\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "We have Advice, that the Burford Man of War, Capt.\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "They write from St. Kitts, of the 30th of December,\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "that the Privateer belonging to Mr. Rowland, a Merchant\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Some People having alledged that Night Marriages are\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "We are told, that the Court of France has lately given\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Letters from Ghent in Flanders mention, that a Spotted\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "A Treaty of Marriage is concluded between his Royal\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Accounts from Ireland represent the disease in\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "the potato crop as prevalent there as in this\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "country.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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8/mOMGQLOiMhyt+lu4BAeiL1kc3ig4R7gCE5d85n5Lv5/S4z/jnP9zzTOt/qjOHXJ94GjwF4g7m4rOCNrjuNMtds1z7HfivMT8WOg373d46H41wL73fg/Af7KbW8FfgscA34FhNx2210+5q5vne/9p+i93AG846X43TgPuLdP8/9HPbT/rMO5tOPHwP8AVV6JvZSbnkqvlFIepQcxlVLKozSBK6WUR2kCV0opj9IErpRSHqUJXCmlPEoTuFJKeZQmcKWU8qj/A4g8xHT4rD/bAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "The inauguration of the statue of Jean Bart, the\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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x+Xw0NjZSWVnJ1q1b6e3tpaGhAUWZCk719PRQUVHBjh07iMViNDY2EovFWLhwIYsXLyYWiyGEYPny5WzevJm0tDTMZjORSITTp09jsVjYsWMHy5Yt4/jx4yxcuJAbb7yR9PR08vLyGB4exmKx8L3vfY8VK1YwOTmJ0WiUfmuA3t5ehBAEAgGi0ShtbW10dXVx2223sWjRIk6cOMHw8DBCCJYtW0Z2djYej0dqv8uWLaOwsFDGEcLhMG+//Tbnz5/njjvu4MEHH6Szs5Ndu3YBsHHjRoxGI7W1tej1eu644w5GRkY4dOgQwWBwxliqfdzf38/777+P2Wxm+/btPPjgg9jtdj7++GOCwSD5+fm4XC4cDgdVVVWkpqZeoh0uXryYNWvWYDKZWLVqFUuXLkWv10tBXl9fj06n41vf+ha1tbU0NDQA0NPTw8cff8zatWt56qmnKC8v56OPPqKjo2OG4gDg9/s5ceIEK1eu5P7778disdDU1EQsFqOgoIBoNIrJZKKyshKPx4PX6+V3v/sdGRkZbNy4kdraWmpqaqQ7yu12Ew6HcTgcpKWl4XA4MJlM7N27l+rqaukb3b17Nzt37iQYDBKJRHjvvfc4evQoVVVVpKWl8dJLL3H69OkZ8Q21X4aGhnj++ec5dOgQhYWFhEIhXnvtNfr6+ggGg/z+97+nra1NWnwqQ5vLJ6uuNdXCUOtqbW3lF7/4Bbt27eKTTz7hueeeo7Ozk2AwyHvvvcdzzz3Hv/3bv/HMM8/Q0NBAPB6nvr6en/70p/zsZz9j7969vP766/z85z/nt7/9LT6fT9aXqAGrf7UB/3A4TEdHB263m82bN0sl7vDhwzz77LP84z/+I6+//jp+v1/yjXfffZc333yT8+fP86//+q8cOXJE0tve3s7JkyfZu3cv4+Pjl3XFKIrC8PAwu3btYnh4mFAoRDgcBpCC0OFw4Pf7GRwclG5ftcxwOMzg4CAdHR0MDAxI63dOHjjnnW8oEn1h6vdAIMDo6KjUbhIHOBaLkZKSQnp6utSmGhoaiEajTE5O0traitlsJhQK0dbWRigUwufzMTExMWPATCYTdrt9hslnMpmw2Wzk5OSQkZFBVlYWFotF+qYzMzPJzs7G7/fT29uLxWKZYV46HA7sdjs2mw2j0UhBQQFlZWVSWrtcLioqKsjMzGTp0qV4PB7Wrl3L9u3bcblccsHb7XYyMzMpLi5Gp9NJH25ZWRmLFi0iOzub7du3s2HDBvk7MzNT1jE2NiYXS0pKCqmpqWRmZpKVlYXZbMbhcLBgwQIWLVqEzWajv7+f2tpaysvLWbhwITk5OZSXl9Pa2ko4HKagoICioiLcbjfr16/n+uuvJy8vj5GREUKh0Ky+2wsXLuD1elmyZAlZWVlkZGSwYsUKWlpaGB0dxWazkZ2djc/nk1qSlsEIIcjLy2PlypUzxkSrITqdTtxuN4sXL8ZiscjMpsbGRkZGRjCZTAwODhKJRBgdHaWvr29Wc3d8fJwTJ07Q3d3NDTfcIFMZq6qqpJ9z/fr1uFwu/H4/kUiE8vJyysrKSE9PZ2hoCEAKI4vFwoYNG7jllltISUmhrKyMrKwsgsEgubm5/OVf/iU5OTlyXgwPD3P48GHKy8u588472bBhA319fXz66aeSaah9Eo/Hqauro6amhuXLl3PXXXexdetW2tvbuXDhAnq9ng0bNuDxeMjOzmb9+vVSQ70c1IwPtZ5oNMof/vAHOjo6+Pa3v83DDz/M+fPnOXbsGD09Pbz33nu43W7uv/9+2tvbOXToELFYjNzcXLKzs/niiy/48MMPmZiYYHBwkP/6r/+S7sJEQaJlehcvXmRgYIAjR47w9ttv884777Bhwwa+853v4HQ6CQaDvPXWWzgcDqLRKK+//jperxdFmUpO+OSTT3jrrbf43e9+x2uvvcZrr73G8PAwHR0d+P1+Dhw4wJEjR/D7/TP4kJYOIQR+v5+XX36ZDz74gEAgwNtvvy2D7DabDYPBgNfr5Y033uBf/uVf2Llzp/R/h8NhPv74Y5555hmee+45nn32WU6fPs3ExMSc/T+vGPhcwRj4Y3qT1hxPfMfhcEjmHY1Gpb9JzSdXU3pSUlK49dZb2bJlyyV+PdWsMZvNMwKBVquVlStXYrFYpBalmnYpKSkUFRVx4sQJydy0bXC5XDidToxGIwBer5fm5mYikQh6vZ6ysjJsNhuRSIRIJEJFRQVlZWU4HA4MBoPU9rR+Qm3mgxrEzM/PZ9OmTTz66KN4PB6ZSfPZZ59Jc0+lKx6P4/f7MRqNMpgLYLVaCQaDCCG4cOECQ0NDlJWVYTKZpA92YmJCTkqDwUB2djZut1taBNqg2fj4uAzcAgwODgLM8GsbjUZ8Pp9cPGazGavVKrXSxPmhCnTVd6r2g06nk2Oj9SOrc2ZgYEAGIN99911GR0cpKCjAarVeImwcDgcVFRWcPXuWX/7ylxw+fFhmQzmdTrKzsyktLZXCvri4mHvuuQej0UhDQwOTk5MMDAzI7CetJqsyzmg0it/vl/PS6XSSmppKVlYWBoOBwcFBaTF9/PHHHDx4EIPBwOjoqAxWq3THYjHq6+uJRqOUl5dLf31qairNzc0y6J+Tk0NqaqoUelqmmRgANZlMWCwWMjIyZB/5/X6qq6vJysoiJSVFPt/X18fQ0BCjo6MsWLCAFStW4HQ66enpIRaLkZWVxaZNmxBCsGTJEh5++GEefvhhJiYmGBgYuMR3rh33SCTC5OQkNpuNwsJCCgsLicViHDlyhM7OTtnHubm53HLLLdx7771EIhF6enoAsNlsLFmyhO7ubvx+P/n5+dIVs2zZMlJSUvj+97/PD37wAzIyMmZ15ah9oqZT5uXl4XA4WLt2Lbm5uQBSoWtqaqKsrIzU1FTeeecd+vv7URSF8+fP89JLL5GVlcW9995Lf38/77zzDqOjo8yFL/WBCyHygVeBLEABfqMoyi+FEP8EPA4MTD/602mf+FWH6sOCKQ1ZnUza++oGH9WUDgQCwB8jyqoPNz09naKiIgoLC+nv77/E/6atS/WNCyGw2+3k5OTISa+mHSmKQmNjI83NzVRUVLBmzRqOHj2K3W6X5YTDYeLxuGSgIyMjMgNDp9Phcrmorq4mPz+f7u5urrvuOhYsWIDBYJBtUYNdMCXMFixYMCOtKxKJ4PF4SElJwWQyyYwDn8/HypUr8fv9MoCltlWb9aJCzc7Rtt/lcslr4XD4khS4jIwMKQhjsZjMg1UUhb6+PhwOB9nZ2QghJFNRGb7KjLXCSHVraZlz4nwYHx/HYDDM8HPqdDqcTicpKSkyAygej0sry2QyyUwbNdA6MTFBfn7+JYLCYDCwefNm7HY7nZ2d+Hw+uru7ZdaP1WolLy9PBu/C4TB9fX00NjayceNGnE4nLpdLlqsKPy3TU9P1tMFO1XpTBWwoFCIrKwshBFlZWWzZsoWKiopLshfUwFpaWppsj9FonJEAoDJkn893ictILQPA5/NJ5QSYMfdU14DJZOLo0aMEAgGys7PJyMigoKCABx54AKvVSnV1tdQs1bFJT0/HbrdTWFhIWloaS5YsmaEwJDJu7W+DwUBmZibXXXcdTqeTnJwcfvzjH/Piiy+Sm5tLQUEBd955JxMTE4yMjEjhqApPo9FIKBTi+uuvJycnB5gS0mazWTL47OzsGfsyZoPFYmHz5s0cOXKEsbExli9fTm5uLkIIUlNTcblclJeXs2bNGoLBINXV1QwNDZGTk8Px48fR6/Xceeed5OTkcOjQIWpra6+MgQNR4H8qinJSCOEEaoQQe6bv/V9FUf7PVyjjzwZ14WoRiUQYGhoiEAhIn6iWIaoZFOPj41LzU32wqvbs8XhoaWlhbGyMlJQULly4QH19Pfn5+TPq0gaEtJuBjEaj1CRVDVTVZGtra4lEImzatIl4PI7P5yMYDNLQ0EBFRQXRaJSJiQnC4TCBQICmpiai0ahMeXQ6nWzbtg2r1crGjRux2+2SYarMRKUlEAjQ0dGB3W6XWnkgEGByclJOBDWjoampidzcXBlgNBqNMtCnumBUIaAyZkVRKCwsxGQysWDBAux2u1wI0WiU8fFxybBVP2xubq5kbFphoNPpyMvLkxaJEFOpoUajkeHhYfl+KBRi4cKFMpDk9/tlAE0bBNIyHSEETqdTurLUOEkoFJJ54CoDVzW0BQsWSIa+fv164vE4hw4dIicnZwYDURSFsbExjh8/zl133YXRaOT8+fP09/fLzIWLFy/S29tLLBYjFAqxZ88eDh06xBNPPEFJSQkWi0VaVRaLhWAwSCwWw+FwMDk5ycTEhJy3ajvVeVNUVCTHRs3+2LFjBzqdjoGBAQYGBmZsDlHnyKJFizh79qwMikUiEYaHh2X6nypc+/v7Z+x41o5Xf38/zz//PIWFhWzcuFEyfXVNqlZiUVERd999N0IIbrvtNrlzNxQK0djYyJ133klWVtaMDXSpqalyU50QQsYBVGtOXX+J61FdO2NjY9ItmZeXR0lJCXv37qWjo4PU1FSOHDmC1+slPz9fpvWq/RMOh7Hb7ZSUlMgYmM1mIxAIYLFYpCU1mwtX/a3+1ev1UmG02WzyPdXFu3Tp0hnjr665uro6jEYj3d3deL1efD4fNpvtynzgiqL0KIpycvr7ONDA1Db6q47Z0qJisRjV1dV8+umncmEdPnxY7sKDKY324sWLUgPq7u6W+a1qlHfdunUMDQ3x+eefU1dXx+eff05qaqpklCo6OztpbGwkGo3S19dHKBSiq6uLaDRKa2srIyMjNDQ0SI1MZVqhUIjR0VE50b/44guam5sBKCsrY3JykqamJi5cuIDRaJSLeHR0lD179tDR0cH58+dpaGjg+PHj9Pf3A1OLStVYJicn6e7uJhAIcPbsWbq6uojH49Ln3N7ezvj4OIBsu0qPxWKRWSSqb9ZmszEwMEBXVxeBQIBwOMzw8LBMRczIyCAzM5Njx44RCAQYHh6mv7+f1atXY7FYGB8fJxAI0N7eTjAYZGJigqGhIcLhsGTaVqtVCl2ABQsWUFRUxKlTpxgeHqavr4/u7m6ZEqkyxmAwOIPxJwa21PS67u5uLl68SCQSYXx8nKGhIWKxmBQ2ExMT9PX1EY1GKS4uJjU1lV27dtHc3ExtbS3Hjh2bdQGpC66zs1NqyWpmj2oldHd3MzAwQE9PDx0dHbIOn89Hf3+/jCGEQiGCwSCDg4P09/dTV1eH1+uVZU1OThKPx+nr65O+eYCsrCxcLhdNTU1EIhFsNhsXL16krq5uhgtFnSfXXXcdFotFMi51LhQWFqLT6aQidLk119TUxO7du7lw4QKhUEhqlKrGn5qaisfjYXR0VGZCFRQU4Pf7qampYdeuXWzatInS0lIZb1EtgEAgIL+rgnBycnKGq2w2LVy1irWuO0CmSQoh+Oijj9i5cyc33HCDdEmqwU0hpvYapKSk4HK5cLlcMp02Go1K14f6UTOZVMUhEbFYDJ/Ph91ux2KxyDx6ta6cnBx0Op10c6qWejAYxGq1UlBQQF5eHjt27OCHP/yhzMqZDX+SD1wIUQRUAsemLz0lhDgjhHhJCOGa450nhBAnhBAnBgYGZntEIjHKrAYYJycnCQaDMzbqqM8DMkC1detW1q9fz8DAAKOjo/K+0Whk1apVrFu3jkgkQjAYpKqqinXr1kkXwY033igDK3v37pWBQq2GEI/HZZpVeXk5gUAAn88n87MHBwfp7Oykq6uL0tJSwuEwoVCIjRs3UlZWRn19PS6Xi7vvvlumS6k+s7/4i7+gs7OTsbExbr31VpYvXy7956Ojo/zmN7/hxRdf5OWXX+Y///M/efPNNxkbG0MIwapVq9i2bRvd3d04nU6++93vUllZKSfewMAAZrOZoaEhOjunjq8xm81UVVVJU3LNmjWkpaXR3d0t/bDr1q2jt7eXffv2yW31qrtgYGAAh8PBvffei9fr5dChQxw7doy8vDxWr14NwLlz54jFYjQ3N3P27FnOnDnD2NiYzIBRF4DqChFiKjX0gQceIBwO89FHH3HgwAEKCwtZv349JpOJ+vp6aVGo/l/NXJMaUEVFBenp6ezevZumpiaEEFIjPnfuHC0tLdTW1uJwOAgGg0yJQ+AAAA0TSURBVIRCITweDw8++CAul4u33nqLuro6brrpJtLT02do4EJMbQxLTU3lzJkzfP7555w9e1Yueo/Hw7p16/B6vZw8eRKz2czSpUux2+20trbKvOXTp0/T2toKQHZ2Ng6Hg3379nHkyBEyMzNJTU2lpKSE1tZWzp07R2dnJ263m+rqasbGxsjIyOC+++7jwoULvP/+++zdu5djx45RXl5+ydEQQgiKiopYsWKFTOdsa2sjPz+f0tJShBBSk9VqvYmWjV6vx2q1UlZWRk9Pj4zRqO6utLQ0brrpJtra2jh58iTDw8Ps37+fixcvyn7OysqSaXs+n4/q6moCgYDc6Obz+WRaoM/nY3BwcE4tVJt9prqWYrEYnZ2dNDQ0UFBQQH5+PrW1tXg8Hm688UbpFtHpdDLbRj06QhsvUaFanqFQiGg0yqeffsobb7wxg8eo/aPyLtWiUpSpDXGqd0C1ftS+VBSFQCCAwWDA7Xbj9/txu90sWbKEVatW4Xa7L9kxrcVXzgMXQjiAt4H/oSiKTwjxa+B/M+UX/9/AL4C/TnxPSTgLRdtgVdpqfWnaHY2JgYtZaEKv17NmzRpKS0ulea6aQypTcLlc3HfffXJ3nV6vl9vgVQmdkZHBAw88wOjoKKFQCKfTidPpnMFcVEa/YsUKIpGI1B7vu+8+QqEQer0ep9NJYWGhZJ4OhwOXy8XTTz9NNBolLS2N+++/n8rKSoqmN8Okpqby7W9/W6b+GY1GioqK5GAvXryY3t5eMjIycLlcMr/5rrvuwuVykZqayqZNmwiFQlitVnJycigoKJAulNWrV5OTk4PZbCYzM1Oa1Fu2bMHv95OSkkJmZiY/+MEPiMVist1bt25l8eLFWK1W6XZ46KGHUBRF/r755pux2+0MDg6SkZHB2rVr8Xg8MuXS7XYzOTlJXl4eAE8++aTUzGaZK+h0OiorK3G73XR3d+N2u/F4PLjdbpkpkZ6eLv3m6jxQ31fnzXXXXcff/u3fMjQ0xOLFizGbzZSWlvKjH/2IeDxObm4uTqeT0tJSuaANBgO3334769ato6uri9zcXNLT02fsOlXrS09P56mnnpKaY2lpKVlZWTJQ+sgjj9Da2orH48Hj8XDrrbdKt09+fj5PPfUU1dXV0lrJy8vjr//6r+nv72flypXk5+djNBrZsWMHH3zwAfX19axYsYLt27dz+PBhxsfH8Xg83HHHHYRCIc6ePcv4+Dg33HADq1evvuR8DTVO88ADD1BXV8fg4CAul4t7771XMokzZ87IjUDDw8PyTBYtli1bxj333EN3dzdnzpxh48aNVFRUyLWn1+vlOnrjjTeorq4mHA7zN3/zNwwPD5OSkiKzMpYvX85nn31GQUEBq1atYt++fUSjUZqbm+nr6+PgwYPSPTU8PExWVtYMWlSajx49KhMRTp8+jdlsZt++ffj9fh566CE8Ho9MtZ2YmGBsbIzy8nJpgapCYGJigqamJtxut9zZm5+fTyAQoKWlhbS0NEKhEK+++qrMlFqzZs0l80+NpbW2tnLx4kU6OjrIzc0lHA7j9/vp7+9n8eLFUgCoCsGKFSuora3F6/VSUVEhU27vuWfuQ16/0nngQggj8CGwW1GUZ2e5XwR8qCjKssuVU1VVpezfv/+SFD9txkhi9shsEi4Rieaz2imz7e6aLTtF+10rQBIDJ4kWgtYnOlu5Wg0zMS9Xu/VcfUe7xVotr6Ojg3fffZetW7eSlZUlMzJ27tzJ3XffTUFBwYzzGRLrV4WP6u/VCiTtO2rcQPtOIk1qOVqzHP7ojlFjAdqUPVULUZ/Xnhsy16FH6nvaOIOWBlXTSgxiJrZd+9xs72rr1WakzFV+4tholQ+1DG17ElPfIpEI0WhUbiwJhUIYjUYZ0FX9x9rMH9VC0ul08rwfv9+P0+mUgeHJyUkZtFXjI9q5qe0X1X2kba86XsPDw4yPj6PT6WRmibbf1Xk+Pj4uN+OUlZVdsltQURR6eno4deqUTD0tLi4mFApx4MAB/H4/69evZ3R0lFOnTrFu3TpycnJ48cUXmZycJDMzkw0bNnDq1CmGhoZkVpiqfKhQUyPr6+tpa2uTlkF3d7dUgpYvX05aWhq9vb3U1tayYMECsrKy6O3tZXBwkLVr16LX6/nVr37F/v37yczM5Ic//CGrVq1CCEFHRwf/8A//wPLly/mrv/ordDodTz75JPX19fzzP/8z27dvnzGv1fa/+uqrvPLKKyxdupT169dz55138u///u98+OGHbNy4kXvuuYdPP/2Ujo4OnnjiCZYvX05XVxfPPvssZrOZLVu24PV6sVqt3H///eTn59coirKaBHwpAxdTVL0CDCuK8j8013MURemZ/v40sFZRlIcuV1ZVVZWyb9++GZqSdmIkSvvZmHjiPe39ywUWvozJflldlxM2s9Ex2/vaNs4ljBLLGxkZ4cMPP2Tz5s1y239PTw+1tbXcfPPNOJ3OOduTSM9cubSX68vZmMBs9WifUQWKtryvMr6JdMxlealt0TLX2do9VxsTryXe1/bTbHNqNkGr/k7st8T65lIg1PuznZOivabtr8T2a8vT0qoVVrMpSNpt7toD0rTQ0qZ9VhVaic9rj7XQ7tTU7nhUhZa6CUfNBlJ3UmrLUE/vS6RdDUKrPn81ywyQPmZtgFUVWOp7qnU1NDTE8PAw0WhUplKqbe7q6kKv18tMqY8++ohnnnmGf/qnf+Lmm2+eNRNqZGSEs2fPMjY2RlVVFR6PhxMnTuDz+TCbzSxYsEDGENxut9xe39PTw2effUZbWxtVVVXSFejxeL42A98AHAbOAqoa+VPgYaCCKReKF/iBytAvU9Y40HTZCr/ZyAAGrzURV4Ak/dcW85n++Uw7zH/6C5VZzgP/2v9S7etACHFiNikyX5Ck/9oiSf+1w3ymHeY//XNhXu3ETCKJJJJI4o9IMvAkkkgiiXmKq83Af3OV6/tzI0n/tUWS/muH+Uw7zH/6Z8VV9YEnkUQSSSTx50PShZJEEkkkMU+RZOBJJJFEEvMUV42BCyG2CSGahBAtQoifXK16/xSIqTNd+oUQdZprbiHEHiFE8/Rf1/R1IYT4f9PtOSOEqLp2lE8d+yuE2C+EqBdCnBNC/Gie0W8RQnwhhDg9Tf8/T18vFkIcm6bzd0II0/R18/Tvlun7RdeSfhVCCL0Q4pQQ4sPp3/OGfiGEVwhxVghRK4Q4MX1tvsyfNCHE74UQjUKIBiHEDfOF9ivBVWHgQgg98G/AbcBS4GEhxNKrUfefiP8EtiVc+wmwT1GUEmDf9G+YakvJ9OcJ4NdXica5oB77uxRYB/xwuo/nC/0hYIuiKCuZ2iC2TQixDniGqWOLFwMjwKPTzz8KjExf/7/Tz30T8COmTuxUMd/ov1lRlApNzvR8mT+/BD5WFKUcWMnUGMwX2r8+Es/3+O/4ADcwdY6K+vvvgL+7GnV/DVqLgDrN7yYgZ/p7DtA0/f3fgYdne+6b8AHeA26dj/QDNuAksJap3XOGxHkE7AZumP5umH5OXGO685hiFFuYOjtIzDP6vUBGwrVv/PwBUoELif03H2i/0s/VcqEsADo1v7u4RmeKfw1kKX88IqCXqf9MBN/gNomZx/7OG/qn3Q+1QD+wB2gFRhVFUf+7gJZGSf/0/THg0n8dfnXxHPC/+OORE+nML/oV4BMhRI0Q4onpa/Nh/hQz9Z/BXp52X70ohLAzP2i/IiSDmH8ClClx/Y3OuxQJx/5q733T6VcUJaYoSgVTmuwaoPwak/SVIYS4E+hXFKXmWtNyBdigKEoVUy6GHwohNmlvfoPnjwGoAn6tKEolMMEf3SXAN5r2K8LVYuAXAe3/JsubvjYf0CeEyIGpExiZ0g7hG9gmMXXs79vA64qivDN9ed7Qr0JRlFFgP1MuhzQhhHpuvZZGSf/0/VRgiGuHG4G7hRBe4A2m3Ci/ZP7Qj6IoF6f/9gPvMiVE58P86QK6FEVR/9HM75li6POB9ivC1WLgx4GS6Yi8CXgIeP8q1X2leB/4/vT37zPlW1av/+V0RHsdMKZ8yWmM/50QQgjgP4AGZeaZ7fOFfo8QIm36u5Up/30DU4z8/unHEulX23U/8Om0lnVNoCjK3ymKkqcoShFT8/tTRVG+yzyhXwhhF1P/85Zp98NWoI55MH8URekFOoUQZdOX/gKoZx7QfsW4ioGG24HzTPk1//5aO//noPG/gB4gwpRUf5Qpv+Q+oBnYC7innxVMZda0MnXU7uprTPsGpkzEM0Dt9Of2eUT/CuDUNP11wD9OX18IfAG0AG8B5unrlunfLdP3F17r+aNpy2am/sHJvKF/ms7T059z6hqdR/OnAjgxPX92Aq75QvuVfJJb6ZNIIokk5imSQcwkkkgiiXmKJANPIokkkpinSDLwJJJIIol5iiQDTyKJJJKYp0gy8CSSSCKJeYokA08iiSSSmKdIMvAkkkgiiXmK/w9XAm4EF+X20AAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "famous sea captain in the time of Louis XIV, took\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "place at Dunkirk, his native town, on Sunday last,\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "with great ceremony and splendour. The statue,\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "which is of bronze and of colossal size, is erected\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "in the great square of the town.\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "By the arrival of a vessel at Falmouth from\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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Buenos Ayres, with papers from the River Plate\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": "3HlDuSOl_dWf"
      },
      "source": [
        "loader_test = DataLoader(test_dataset,batch_size = len(test_dataset))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a4hFwNlwTVmz",
        "outputId": "331a5e8e-679b-480d-d8d2-055cfae5e20b"
      },
      "source": [
        "len(test_dataset)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "24"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "M_1QOnlXQ566",
        "outputId": "6482faa2-27fe-410a-fb40-0fc033951ee8"
      },
      "source": [
        "def my_custom_euclidean(x, y):\n",
        "    return torch.mean(torch.sqrt(torch.sum(torch.square(x-y), dim=-1)))\n",
        "\n",
        "class CustomActivation(nn.Module):\n",
        "    def __init__(self, mean=0, std=1, _min=0.0, _max=1.0):\n",
        "        super(CustomActivation, self).__init__()\n",
        "        self.mean = mean\n",
        "        self.std = std\n",
        "        self.min = _min\n",
        "        self.max = _max\n",
        "        \n",
        "    def forward(self, x):\n",
        "        gauss = torch.exp((-(x - self.mean)**2)/(2*self.std**2))\n",
        "        return torch.clamp(gauss, min=self.min, max=self.max)\n",
        "    \n",
        "class CustomActivation_inverse_quadratic(nn.Module):\n",
        "    def __init__(self, epsilon=1):\n",
        "        super(CustomActivation_inverse_quadratic, self).__init__()\n",
        "        self.epsilon = epsilon\n",
        "        \n",
        "    def forward(self, x):\n",
        "        return 1/(1 + (self.epsilon*x)**2)\n",
        "    \n",
        "class CustomActivation_multiquadratic(nn.Module):\n",
        "    def __init__(self, epsilon=1):\n",
        "        super(CustomActivation_multiquadratic, self).__init__()\n",
        "        self.epsilon = epsilon\n",
        "        \n",
        "    def forward(self, x):\n",
        "        return torch.sqrt(1 + (self.epsilon*x)**2)\n",
        "    \n",
        "class CustomActivation_inverse_multiquadratic(nn.Module):\n",
        "    def __init__(self, epsilon=1):\n",
        "        super(CustomActivation_inverse_multiquadratic, self).__init__()\n",
        "        self.epsilon = epsilon\n",
        "        \n",
        "    def forward(self, x):\n",
        "        return 1/torch.sqrt(1 + (self.epsilon*x)**2)\n",
        "    \n",
        "def check_accuracy_part34(loader, model):   \n",
        "    num_correct = 0\n",
        "    num_samples = 0\n",
        "    total_loss = []\n",
        "    orig_ks_loss = [[], []]\n",
        "    ks_loss = [[], []]\n",
        "    model.eval()  # set model to evaluation mode\n",
        "    with torch.no_grad():\n",
        "        for t, x_y in enumerate(loader):\n",
        "            x = x_y['image']\n",
        "            y = x_y['landmark']\n",
        "            x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\n",
        "            y = y.to(device=device, dtype=torch.float32)\n",
        "            scores = model(x)\n",
        "#             loss = torch.dist(scores, y)\n",
        "#             total_loss.append(loss.item())\n",
        "            loss = my_custom_euclidean(scores,y)\n",
        "            total_loss.append(float(loss))\n",
        "            \n",
        "    print('train/val loss = %.4f' % (np.mean(np.asarray(total_loss))))\n",
        "        \n",
        "               \n",
        "def flatten(x):\n",
        "    N = x.shape[0] # read in N, C, H, W\n",
        "    return x.view(N, -1)  # \"flatten\" the C * H * W values into a single vector per image\n",
        "\n",
        "classifier = load_model(\"classifierpaper_70classes-2-95.34.h5\")\n",
        "model = torch.load(\"/content/segmenter_gaussian_mse_relu_700.h5\")\n",
        "model.eval()\n",
        "\n",
        "pkl_file = open('/gdrive/My Drive/datasets/fd.pkl', 'rb')\n",
        "fd = pickle.load(pkl_file)\n",
        "pkl_file.close()\n",
        "\n",
        "# pkl_file = open('custom_w_h.pkl', 'rb')\n",
        "# custom_w_h = pickle.load(pkl_file)\n",
        "# pkl_file.close()\n",
        "\n",
        "fd_min, fd_max, fd_mean, w_h_min, w_h_max, w_h_mean = fd['fd_min'], fd['fd_max'], fd['fd_mean'], fd['w_h_min'], fd['w_h_max'], fd['w_h_mean']\n",
        "\n",
        "\n",
        "dist_list = []\n",
        "dist1_list = []\n",
        "len_list = []\n",
        "dist_list2 = []\n",
        "dist1_list2 = []\n",
        "len_list2 = []\n",
        "dist_list3 = []\n",
        "dist1_list3 = []\n",
        "len_list3 = []\n",
        "#predict cuts\n",
        "with torch.no_grad():\n",
        "    for t, x_y in enumerate(loader_test):\n",
        "        x = x_y['image']\n",
        "        y = x_y['landmark']\n",
        "        x = x.to(device=device, dtype=dtype)  # move to device, e.g. GPU\n",
        "        y = y.to(device=device, dtype=torch.int16)\n",
        "        char_val = x_y['value']\n",
        "        scores_test = model(x)\n",
        "batch_size, _, ht, wd = x.size()\n",
        "#convert to numpy\n",
        "scores_temp = scores_test.cpu().detach().numpy()\n",
        "scores_temp = scores_temp.reshape((batch_size, -1))\n",
        "\n",
        "images = x.detach().cpu().detach().numpy()\n",
        "images = images.reshape((batch_size,ht,wd))\n",
        "\n",
        "for i in range(batch_size):\n",
        "    # if i == 1:\n",
        "    #   break\n",
        "    image_example = images[i]\n",
        "    score_example = scores_temp[i]\n",
        "    plt.figure()\n",
        "    plt.imshow(image_example, cmap='gray')\n",
        "    plt.show()\n",
        "    # orig str\n",
        "    # char_list = char_list_dict[int(char_val[i])]\n",
        "    # char_str = ''\n",
        "    # for c in char_list:\n",
        "    #     char_str += c\n",
        "    if y[i] == -1:\n",
        "      char_str = char_val[i]\n",
        "    else:\n",
        "      char_str=''\n",
        "      for _ in range(y[i]):\n",
        "        char_str += char_val[i]\n",
        "\n",
        "    #local maxima indices\n",
        "    index_P = argrelextrema(score_example, np.greater)[0] #index of local maxima\n",
        "    index_P_01 = np.zeros(score_example.shape) \n",
        "    index_P_01[index_P] = 1 \n",
        "\n",
        "\n",
        "    #dist between left and right index of cuts\n",
        "    #len(index_P)xlen(index_P)\n",
        "    dist = pairwise_distances(np.asarray(index_P).reshape(-1,1), metric='manhattan') \n",
        "    #index pairs such that width is betwwen fd-min and fd-max\n",
        "    l, r = np.where((dist>= np.min(fd_min)) & (dist<= np.min(fd_max)))\n",
        "    # l, r = np.where((dist>= np.min(custom_w_h)) & (dist<= np.max(custom_w_h)))\n",
        "    # l, r = np.where((dist/33>= np.min(w_h_min)) & (dist/33<= np.min(w_h_max)))\n",
        "    #top m = img_width/mean_char_width choices\n",
        "    l_r = []\n",
        "\n",
        "    for j in range(len(l)):\n",
        "        if l[j] < r[j]: #and (index_P[int(r[j])] - index_P[int(l[j])])/33 >= np.mean(w_h_min) and (index_P[int(r[j])] - index_P[int(l[j])])/33 <= np.mean(w_h_max):\n",
        "            try:\n",
        "                l_r.append([ index_P[int(l[j])], index_P[int(r[j])], \n",
        "                                     score_example[index_P[int(l[j])]] + score_example[index_P[int(r[j])]] ])\n",
        "            except TypeError:\n",
        "                print(\"AAH\", l[j], r[j], len(index_P), )\n",
        "\n",
        "    # l_r = l_r[l_r[:,2].argsort()] #sort according to P(l) +P(r)\n",
        "    l_r_sorted = sorted(l_r, key = itemgetter(2), reverse=True)\n",
        "\n",
        "    char_images = []\n",
        "    segment_list = np.zeros((33,700))\n",
        "    #top m choices\n",
        "    for _i in range(len(l_r)): # #np.mean(fd_mean))):\n",
        "        if l_r[_i] in l_r_sorted[0:int(700/np.mean(fd_mean))]:\n",
        "            img_crop = image_example[:, l_r[_i][0]: l_r[_i][1]]\n",
        "            img_bin = resize(img_crop, (15,19))\n",
        "            char_images.append(img_bin)\n",
        "            segment_list[:, l_r[_i][0]] = 255\n",
        "            segment_list[:, l_r[_i][1]] = 255\n",
        "    plt.figure()\n",
        "    plt.imshow(segment_list, cmap='gray')\n",
        "    plt.show()\n",
        "    \n",
        "    if len(char_images) == 0:\n",
        "      continue\n",
        "    X_test = np.asarray(char_images)\n",
        "    X_test = X_test.reshape((X_test.shape[0], 15, 19, 1))\n",
        "    class_probs = np.asarray(classifier.predict(X_test))\n",
        "    max_scores = np.max(class_probs, axis=1)\n",
        "    max_scores_index = np.argmax(class_probs, axis=1)\n",
        "    output_str = ''\n",
        "    for _i in range(len(max_scores_index)):\n",
        "        # if max_scores[_i] < 0.75:\n",
        "        #   continue\n",
        "        s = max_scores_index[_i]\n",
        "        for k, v in label_map.items():\n",
        "            if v == s:\n",
        "                output_str += k\n",
        "    print(char_str, \"->\", output_str)\n",
        "    dist_list.append(levenshtein_distance(output_str, char_str))\n",
        "    dist1_list.append(levenshtein_distance(output_str, char_str) * len(char_str))\n",
        "    len_list.append(len(char_str))\n",
        "\n",
        "    output_str = ''\n",
        "    for _i in range(len(max_scores_index)):\n",
        "        if max_scores[_i] < 0.5:\n",
        "          continue\n",
        "        s = max_scores_index[_i]\n",
        "        for k, v in label_map.items():\n",
        "            if v == s:\n",
        "                output_str += k\n",
        "    print(char_str, \"->\", output_str)\n",
        "    dist_list2.append(levenshtein_distance(output_str, char_str))\n",
        "    dist1_list2.append(levenshtein_distance(output_str, char_str) * len(char_str))\n",
        "    len_list2.append(len(char_str))\n",
        "\n",
        "    output_str = ''\n",
        "    for _i in range(len(max_scores_index)):\n",
        "        if max_scores[_i] < 0.75:\n",
        "          continue\n",
        "        s = max_scores_index[_i]\n",
        "        for k, v in label_map.items():\n",
        "            if v == s:\n",
        "                output_str += k\n",
        "    print(char_str, \"->\", output_str)\n",
        "    dist_list3.append(levenshtein_distance(output_str, char_str))\n",
        "    dist1_list3.append(levenshtein_distance(output_str, char_str) * len(char_str))\n",
        "    len_list3.append(len(char_str))\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Now, as what we buy becomes our own, I am ready -> \n",
            "Now, as what we buy becomes our own, I am ready -> \n",
            "Now, as what we buy becomes our own, I am ready ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "It is well known to the World, that, when a certain -> \n",
            "It is well known to the World, that, when a certain -> \n",
            "It is well known to the World, that, when a certain ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Now, whether the War with Spain was a right, or a -> \n",
            "Now, whether the War with Spain was a right, or a -> \n",
            "Now, whether the War with Spain was a right, or a ->                                       \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "on a Letter wrote by the Province of Utrecht to the States -> \n",
            "on a Letter wrote by the Province of Utrecht to the States -> \n",
            "on a Letter wrote by the Province of Utrecht to the States ->                                       \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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z8+P+++8nOTmZqKgo7OzsGDx4MB988AEtWrSge/fu7Ny5E39/fx577DG2b9/O119/zVNPPUWLFi2oqKggNDSUkSNH8uGHH7Jjxw4tlLEGOzs7wsLC2L9/P926ddPaj7e3NytWrMDNzY3Ro0ezadMmhg0bhslkYvr06Tz33HNYLBY2btxITk4OUPUjDgwMxNvbm4iICEaOHHnpBgwsWLCARx99VHPFGAwGVq1aRVpaGk888QQpKSk0a9aMTZs2YbFYsFqtiAjFxcWcPn26TnkpKSmICMnJyaSkpNC+fft66/Xy8qJjx448/PDDVFZW1jKArVu3xmAw8NBDD/HGG2/g4uICVA0ARkZG0rVrV7Zv316nc5Genk5aWhqjR4+mZ8+elz1vFxcXXnvtNYYOHcrhw4e1nqRSiocffpjNmzfToUMHBg8eTJs2bTh+/DhpaWns3buXpUuXEhQUxO23347BYLgiA1ejr2aszGAw0KJFC63Tp9frcXR01MIuBw4cyPLlyxk5ciQzZsxgxIgRl3WhWK1WlixZQmBgIBERETz11FP89NNPTJkyhXXr1jF06FD27t3LypUradKkCQCurq7ExMQwZcqUeoMs3N3dr3g8pVH2wM1mMwcOHGDSpEk4Ojryww8/aBEp27dv54knnqBVq1YEBAQQEhICVBnvsWPH8sgjj5Cbm6uVVVxczMSJE/nyyy+BKoPzww8/YLVaiYuLY8iQIURGRvLZZ5/V6s3X+MRnzZrF7Nmz+fDDD7FYLKxatYo+ffowbtw4vv/+e603++23314yaiY3N5fs7Gz8/Pxwd3ena9eupKaman6+1NRUZsyYwbZt22jfvn0d45mTk8ORI0eIjY0lICCAkpISzp49yz333MOAAQOIi4tj9erVALRq1aqWca/xRb799tucOHGChIQECgoKmDJlCr6+vpSXl9fSbTQaL9nrsbOzo1+/fjg4OGi99bKyMiZMmEDLli2BKgO+f/9+SkpK2LBhA9988w3R0dF4eHgQHh5OUVERzz77LCtWrMDHx4fo6GhKS0sZOnQoUVFRNGvWjGPHjnHu3DkKCwsZNWoUc+fOZfr06ZSXl/Of//xH6z0+++yzPPXUU5pxvhTNmzfHzc2NoqIijh07hqenJ126dKF169a0aNGCtLQ0du3aRXFxMUOGDMHV1ZVOnTqRl5dHbGwsUDWI+N1339G3b18mTJhQb8/qQnx8fHBzc9P2dTodzZs3595779V8njXjHH/729/w9/enb9++9O/fn0GDBtUpLywsDIPBQFFRESdOnKhz/NChQ1RUVODl5UWXLl3o1q0bzz//fK0ByxpcXV3x9vaudX26d+9Oy5Yt8ff319IdHR0ZOHAgTk5OfPzxxxQUFNRqW/Xh7OxMQEAAX3zxBQsXLqzly3ZxcUGv13P77bdjNpvJy8sjPj6eiooKjEZjnXbf0DWuj4YM/tNPP81nn32Gj4+P9rZ3OSwWC++//z6zZs0iLy+PwMBA+vfvj16vJy4uDhcXF86fP09FRQUtWrSgRYsWODk5sWTJEpycnLQH7YUBCWazmYqKiis6nwYNuFIqSCn1i1LquFLqmFJqanX6HKXUWaXUH9Vb3Rid/xEiQkVFBT4+Pvj7+3P06FEqKiowmUykp6fTuXNnoMo1UVxcDFQ14MTERMaPH18nuD4/P599+/YB8N133zFv3jzy8/PZsmULhYWFLFmyhM2bN9cyBH/88QcbN25k2LBhODg4cOTIESwWCwMHDqRZs2baW0JwcDDu7u6aYauPjRs3kpmZyauvvkpERAS7d+/mwIEDnDlzBoA9e/Zw9uxZpk+fzsCBA7We9MWj5HfccQdz586lXbt2+Pv789ZbbzFx4kSUUppL41JMmDCByMhIwsPDtTqg6kdiZ2eHyWS6olH5/v374+HhwYEDBzhx4gQHDhygU6dO2vGkpCQyMzO58847GTBgAFOnTiUqKgpXV1ecnZ2xt7enR48eBAYGotfr8ff3x9nZmf79++Pi4lKrB+3k5ES/fv1QSmm9xZr77ejoWKve+rBYLOzZs4e0tDSKioooLi7m2LH6x+Fr3B6XGjSOiYnhgw8+oE2bNg0asYtpKJpo9OjRvPHGG3z88ccsX74cPz+/OnmGDh3KhAkTMBqNfPfdd7UipcrLy/n6668xGo2EhYWRk5PD9OnT6dChA2FhYQ3qKy8vp6SkpE56ZWUlQ4YMYcuWLfTv35+YmJgGzyUvL4/p06fz9ddf061btzoGtcaAX5zm5OSk3dsrcZtcCovFgslk0uzFhWRkZDBt2jRatWrFiy++qOW/ElJTU1mzZg1Wq5WioiJERGsrZ8+eZdKkSURGRhIZGcmrr77K7t278fLy0s5/48aNVFZW0q5dO/Ly8oiMjGT79u0NnuuV9MDNwHQR6QiEA5OVUh2rj/1LRLpVb9c3sPgyJCcna6/EgYGBHDlyhPPnz2uxkzWG1mAw4OrqisVi4ZtvvtF8zBcaUldXV+644w5tv1u3bogIZrOZ5ORkgoODefDBB+ncuXOtKIpu3brRu3fvOg2wRYsW2si1UooTJ05gb29Pv3796j0Xi8XC7t27cXd3p7y8nHXr1mEymcjMzOSXX34BIDExEXd391pxpadPn9Z8h1DVyMPDwzUjCGgaoMpHfqG/9mLCw8NxdXWlefPmODs788orr5CVlcVdd92Fl5cXJ0+e1Nwql8PDw4OwsDCKioqYM2cOIkLbtm2140lJSWRnZzNs2DDmzJnDnDlzGDRoEEopLVLiQtq2bYuTk1O9vS2llJYuIuh0Onr16lWvLrPZXOcHWxOKlp6eftmelqOjoxYSVhMqVl5ejpeXF127dgUgNDSULl26sHr1ahISEhq8Thcao0vFM3fs2BGdTsfu3bsxmUw4Ojpecialg4MDw4cPx9XVlVWrVvHll19qrpd169bx/fff4+3tzZgxY9i5cyfZ2dnMnj2b22+/nZycHFJSUrSySkpKahlsZ2dnXFxcNKN38uRJCgsLSUhIYPz48ZSXl/Pcc8+RkZFBTEzMZc87ISGBvLw8QkJCNLfQ8eP/XT5JRCgpKUGv19O0aVMA/P396d69O1FRUWzfvp3Dhw9TVlbGH3/80WCnwmQyaWMGRqOR8+fPc/jwYRITE0lJSSE9PV37GxMTw549e/j00085fvx4gyF8NRgMBkwmE19++SWRkZHMmDEDEWH48OE4Ojri6OjIvn37mDNnDpGRkfz6668A7N69m9OnT6OUIi4ujtzcXNq1a4dOp2P58uX885//bDDapkEDLiIZInKo+nMxEE/VNPqbRlJSEmfPVs0ZateuHQUFBRw5coQDBw6g1+vR6XSYTCb0ej0ODg5YLBZ+//13XFxc6vizlFK1ekxOTk7k5+eTmZkJwAMPPFDLN17z9HZxcSEoKIg1a9bUucihoaFa3GleXh5dunTRerQXc/r0aQ4dOsSMGTPYs2cPe/fu1cKLjh49Wkfr5ajpLTs5OZGRkcH+/fvx9fWlZcuWZGRkaAbczs6Odu3a1WsM1q1bx9dff01wcDCDBg3Spr9faQ/cwcGBbt26UVhYyA8//EDr1q1rhZa1a9cOHx8fDh8+jMViqWW4+vTpU+f+pKSkYDQaa13jhIQEmjVrpvnbAeLi4tDpdNpgqclk0gyD1Wrl3Llzda6nTqer9QprZ2eHs7Oz9gqbnZ3NmTNn6NSpEwMHDsTd3Z3Dhw+TnZ3N7t27tXjkkydP0qVLFyIjIzl58iQzZ868ZLx8De+88w47duzQHgYiQmlpKWVlZdo5+fr60rZtW5YuXcrLL7/Myy+/zNNPP13v3Aeo6lSEhYVhNBqZP38+r732GnPmzGHWrFkYjUYmT55Mr169iIuLo7i4mHfffZeNGzeSnZ3NF198oZWzfPly3n33XUwmE0ajUfMT//bbbyQkJGhvUSaTiaSkJBYuXMjixYtrhcBdDhFh27ZtLF++HIANGzaQlpZGdHQ0JpOJDRs2kJ+fr3UYHB0due2224iNjWXkyJG8+OKLlJWVsWzZsgYHTRMTE1m1ahVQNb5x9OhRiouLOX/+PAcOHGDDhg0cP35cm2QTGBjIJ598wtKlS+nevXuDYbp6vZ45c+YQHBxMTEwMc+fO5eeff6Z9+/Y88MADdOrUiccee0zrbYeFhfH555+zaNEi5s6dy7fffsvDDz/M6NGj8fHxISAggNDQUJo1a0ZoaGiDk4uuahBTKRUM3A7sB+4GpiilxgExVPXS67TaC9dCadGixdVU1yB6vZ6QkBCMRiO//PILBw8eZPz48ZSVlWkukfowm83s27dP8xteSHJyMllZWZoBv9hoHj16lLi4OJo0acKWLVuYOHEiW7ZsqZUnODgYZ2dnfvrpJ9LT0xk1atQlb8SuXbuorKxk0KBB2vXp2bMnnp6eHDt2TOsJ5ebmsmXLFh599FFEhObNm9d7PZ2dnenatSt79uzBaDRq+v38/GjatCnZ2dnAf+/Fhb42s9nM1q1bsVqtjBw5Eg8PD9577z3tYVnD5X6kNXGxNTHgd911V603nnbt2tGqVSu2bdvGq6++isFgoF+/fvTq1Yv4+HisVmstY52cnExpaSnbt2/n/vvvx2KxcOLECZo1a4aLi4s2XrFixQoCAgJwc3OjvLwco9FIdHQ0ffv21XpTF/eyRYQzZ85QUlJCVFQUS5Ys4W9/+xsrV67UIloOHz7MhAkT8Pb2xtHRka+//prdu3fz66+/0rNnT/R6PfHx8Tg5OdGxY0fatGnD1q1biY6O5i9/+Uud61NjlGNjY4mKiqJ79+788ccflJWV8f333+Pq6kplZSVOTk74+fnRtWtXEhISePfdd4GqaJPi4mLc3d3rlO3p6cmiRYsYM2YMycnJLFy4EKgahHzwwQeZNm0aer0eg8FAcXExBQUFhIaGYjabtXuklKKgoIAVK1YwZswYDh48qD1Ut2zZormSYmNjCQ0NxWAwsHbtWnQ6HWPHjiU8PPySbQMgJCSE5s2bk52djcFgIC8vj3PnzpGVlcXJkye12Yw7d+7EarUSFhaGo6MjY8eO5cCBAyQmJmIwGDAYDFfkqvL29uaFF17AaDQSHh5O165diYiIwGg0ctttt2G1Wnn11VfR6XTccccdLF26lPj4ePr166fFjF8OpRQPPfQQIsL06dMxGo3Y29vz/PPPk5ubi4+PjxZxtXPnTsaMGUObNm3o0qWLVkbXrl3R6/Xo9XoCAgJYtWoVhYWFtG3b9vIx4FyFAVdKuQDrgGkiUqSU+hCYB0j130XAUxd/T0Q+Bj4G6NGjx3Wf0uXs7IxSiqVLlyIivPDCC1RWVmqvqPXoITY2llGjRvHRRx8xePBgzYiJCImJiVRWVqLT6WjXrh1fffUVI0eOpGnTppw+fVrrgWdnZ3P27Fmth5qcnMz58+fx9/fHw8ODDh06sGXLFry9vRk6dGi9OlJSUvjggw+0EXWo6i3WaI+Ojmb//v3a6+bLL79MkyZNSEpKIj09nZUrVzJz5kyOHTtGaWkpSUlJ5Ofn13qNTUlJ4fTp0/Tp0wdXV1c+/fRT8vLyWLZsGYMGDWL//v1AlU//0Ucf1YznokWLsFqtGI1GDhw4QFFRkTaFPyEh4bLRBjUGPCAggGnTptV6COp0OiZOnMjkyZNZuHCh5r8uLi7mnXfeoby8nGXLltGnTx8cHBy07+7YsYPVq1eTlpZGUFAQrq6uhIaG8vnnn/P555+Tn5/PgAEDcHNzY/fu3YgIv/zyC/fddx+xsbHY2dnVWX5AKUXLli2xs7Nj06ZNHDt2jDfeeIMzZ87w0Ucf4eTkRPfu3Zk1axYBAQGMGTOG9957j4SEBFq2bMmCBQu0tx5PT0+cnJxo3rw5JSUll4xc8PPzY+rUqSxatIjQ0FAqKiqws7MjKCiIjh074uXlxbx58+jfvz9QNah26NAhSktLCQ0N5Zlnnqk1kHgxYWFhrFmzhu+//17z33p5eTFmzBgtgmrcuHG4ubkxfvx4dDodJSUlGAwG7O3tGTt2LN988w1jx46lWbNmDB06lPPnz9OkSRNCQkLo378/ffv25b777qNp06Z8/PHHHDhwAEdHR8aMGdOgwfP29mbVqlXk5OTQqVMnNiHfYlAAAAkMSURBVG/ejMVi4bbbbuOTTz7BZDLh6uqK1WrFzc2N+++/Hzs7O3r27MmGDRs4duwYbdq00e5fQxPS/Pz8mDWr9r8qiIiIqLV/4UMnMDCwwUia+hgyZAjh4eFYrVaUUpSXlzN9+nTeeust2rdvz7333qtFyl3MxYOzrVu3vvKK6wsOv3gD7KmacfniJY4HA0cbKud6TOQpKyuTmTNnioODg8TGxkpGRoY0b95clFIyYsQIyc3Nlbffflvs7e2ladOmsn37dqmoqJAJEyZIeHi4zJ49W/r27Ss+Pj4SFxcnxcXFMnjwYJk2bZoYjUZ58MEHxcHBQbZv3y6HDx+W5s2by5tvvikrV64Ue3t7AWTnzp2yadMm0ev1QtUDTHQ6nSxevFjTuX37dlFKyYABA+qdNJOWliY9evQQpZT4+vrKsWPHRETkxIkT0rZtW1FKiVJKxo0bJydOnJD27dsLIF5eXuLm5iaADBo0SMxms1Q/GOXuu++WHTt2iLu7u9jZ2cnatWtl3rx54uDgoE1q6tGjhxgMBgkJCZGUlBTp37+/+Pr6yogRI8RkMskLL7wgvr6+2ubl5SXr1q2TOXPmiFJKDAaDNungUuzdu1fc3d1l8uTJ9U46SUtLk/Hjx4uvr6+Eh4dLYmKizJkzR/z9/cXX11eeeOIJqaioEBGRXbt2ydixY+Uf//iHHDlyRBYsWKAtGlRYWCibNm2SyMhImTdvniQmJorZbJZ58+bJ8OHDZfPmzZKZmSkLFiyQ9957TyvzQoqKiuSdd96RxYsXa/fp1KlTMnfuXFm+fLnk5eVpeUtLS+Xbb7+VxYsXy9mzZ8VqtYrVapXz589LQUGBWK1Wyc3NlczMzMtOADGbzZKdna1NCMvPz5esrKx6J0jV5M3MzLziSU/XQmVlpWRnZ0t5eblWf811q6iouOSEKBu1+eyzz6R9+/ayf//+61Iel5jI0+A/dFBVXaAvgTwRmXZBur+IZFR/fgG4U0RGXa6sHj16SEODHA2xdu1axo4di8lkYvjw4Sxbtoxp06axZs0a1q9fT3FxMWPGjNF6kgEBAezatQtHR0cGDRqkRRkMHz6c1atXaz2zGhfHHXfcwalTp9i4cSP9+vVjw4YNuLq64unpyfvvv8/mzZvZtWsX3t7efPbZZxQUFFBRUcGOHTuIiorivvvuA2Dfvn3cfffdvPvuu/z973+vcx5lZWV89dVXZGZm0rx5c5588kn0ej1FRUV8/vnnWm+xc+fODBs2jO3bt7N//378/f3x9vYmLi6Otm3bMnbsWD788EOys7Np3749vXr14j//+Q9OTk5MmDABnU7HqlWr0Ov1PP744+zatYu8vDz69OmDp6cnRUVF2it0zUBqjdvGarWSkJDAnXfeSVpaGitXriQ0NJTBgwdftqdVUlLCihUr6N27txYRdDFGo5Hi4uJ6660ZNKuhoqICpVSDr5MX5rdarX8qzMyGjetBeXk55eXleHh4XJdleJVSB0WkR530KzDgvYFfgSNAzeyRV4DRQDeqeqCpwLM1Bv0yZRUDDQ/R37p4A7kN5rp1sem/uTRm/Y1ZOzR+/S2lnvXA//S/VPszKKVi6nuKNBZs+m8uNv03j8asHRq//kvRKGdi2rBhw4YNmwG3YcOGjUbLjTbgH9/g+q43Nv03F5v+m0dj1g6NX3+93FAfuA0bNmzYuH7YXCg2bNiw0UixGXAbNmzYaKTcMAOulBqolEpQSiUrpWY1/I0bj1Lqc6VUtlLq6AVpTZVS25RSSdV/PavTlVLq39XnE6eUanhdzv8hl1n2t7Hod1JKHVBKxVbrj6xOb6WU2l+tc5Wq+gfaKKUcq/eTq48H30z9NSil7JRSh5VSP1XvNxr9SqlUpdQRVbU8dEx1WmNpPx5KqbVKqRNKqXilVK/Gov1auCEGXCllBywBBgEdgdHqv0vS3kosAwZelDYL+FlE2gE/V+9D1bm0q96eAT68QRovxaWW/W0s+iuAfiLSlaoJYgOVUuHAQqqWLW4L5AMTqvNPAPKr0/9Vne9WYCpVK3bW0Nj095Wq5aFrYqYbS/tZDGwWkVCgK1X3oLFo//PUN7/+em9AL2DLBfsRQMSNqPtPaA3mgnVdqJo56l/92R9IqP68FBhdX75bYQO+B/o3Rv2AATgE3EnV7Dn9xe2IqrV5elV/1lfnUzdZdyBVhqIf8BOgGpn+VMD7orRbvv0A7sCpi69fY9B+rduNcqE0B9Iu2E/nJq8pfhX4yn+XCMgEfKs/37LnpGov+9to9Fe7H/4AsoFtwEmgQERq/mnghRo1/dXHCwGvG6u4Du8CM/nvkhNeNC79AmxVSh1UVctAQ+NoP62AHOCLavfVp0qpJjQO7deEbRDzKpCqx/UtHXepLlr298Jjt7p+EbGISDeqerI9gdCbLOmKUUo9CGSLyMEGM9+69BaRMKpcDJOVUrXWP72F248eCAM+FJHbgVL+6y4Bbmnt18SNMuBngaAL9gOr0xoDWUopf6hagZGq3iHcgueklLKnynh/LSLfVic3Gv01iEgB8AtVLgcPpVTNuvUXatT0Vx93B87fYKkXcjcwVCmVCqykyo2ymMajHxE5W/03G/iOqodoY2g/6UC6iOyv3l9LlUFvDNqviRtlwKOBdtUj8g7AKOCHG1T3tfID8ET15yeo8i3XpI+rHtEOBwqlgdUY/5copRTwGRAvIv+84FBj0e+jlPKo/uxMlf8+nipDPqI628X6a85rBLCjupd1UxCRCBEJFJFgqtr3DhEZSyPRr5RqopRyrfkM/AU4SiNoPyKSCaQppdpXJ90PHKcRaL9mbuBAw1+BRKr8mq/ebOf/JTR+A2QAlVQ91SdQ5Zf8GUgCtgNNq/MqqiJrTlK11G6Pm6y9N1WviHHAH9XbXxuR/tuAw9X6jwKzq9NbAweAZGAN4Fid7lS9n1x9vPXNbj8XnEsf4KfGpL9aZ2z1dqzmN9qI2k83qv61YxywHvBsLNqvZbNNpbdhw4aNRoptENOGDRs2Gik2A27Dhg0bjRSbAbdhw4aNRorNgNuwYcNGI8VmwG3YsGGjkWIz4DZs2LDRSLEZcBs2bNhopPw/GN/0GtuEeb0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Monday Admiral Vernon took the Oaths and his Seat -> \n",
            "Monday Admiral Vernon took the Oaths and his Seat -> \n",
            "Monday Admiral Vernon took the Oaths and his Seat ->                                       \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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "General Wentworth is gone down to Witchurch in -> \n",
            "General Wentworth is gone down to Witchurch in -> \n",
            "General Wentworth is gone down to Witchurch in ->                                       \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9JSIix44dE5PJJF9++aWsXbtWQkNDJSwsTNLS0iQxMVF8fHzE09NT3NzcZPny5bJs2TIxmUwCyJw5c2TdunViNptl0KBBMmTIEDGbzfLCCy9IcnKytG7dWmt7+PDhkpiYKKGhodK/f3+ZPn26xMTE1OnErPmfjhs3TsaNGycDBgyQjh07SlpamrhcLpk6daq8+OKLsmPHDjGbzTJ79mztWsLDw+WLL76Q+Ph4admypdhsNikuLpbOnTtLYGCg7NixQ9auXSu+vr4yf/78yxzESUlJopSSRx55RJxOp5SWlkrr1q1l9OjRkp+frzkxt23bJg6Ho8577nK5ZMaMGWKxWOTZZ5+VqKgo+fnnn2X27Nna/QgLC5ODBw9q5+zevVsSEhLk008/FaPRKBMmTBCRKie0wWCQ2NhYmT17tpw5c6beTm273S7PPPOMANKpU6erRjQtXLhQGjduLH/5y18kODhYkpKSpLCwUDp37iyAbN++XYqKimTIkCHi6ekpW7dulblz54q/v7+sXr1aezavBDfqxFRKhSulvlZKHVdKHVNKPV+dPlMpdUEpdbD6GHj9w8f1YzQa6d69O25ubiil8PT0xMPDg379+mE2m/Hx8SEuLg53d3fy8vI4evQoPXv2ZPjw4fUKuHd3dyc6OhqbzUZSUlKdZWrseTVOoCuRm5urxa9eL2VlZVitVt566y26dOlCeno6JSUlWr6IkJWVxa5du3jjjTdq2chzcnJ4/PHHGTBgAMeOHePNN9/kvvvu47XXXuPIkSOMGDGCMWPGkJiYCMDZs2cZOnQo9913H4MHD2bWrFmMGzeOYcOGMWPGDGbMmMGUKVMoLy+vt/z5+fns2bMHESE1NZW3335byysvL+fYsWOUlpayd+9eysvLKSoq4r333qOoqAgPDw8yMjK4cOHCdd2zyMhI7rnnnlppISEhPPfcc3h5eZGZmUlhYSFTp06t5dwsLCxk69atV61bKcVjjz3G+PHjsdlsLFq06DIb8ODBgwkNDcXd3b2WQ9But9OtWzfuvfde2rdvj5eXFy1atODhhx9m9+7dtG7dmoULFzJ//nwaNWrEvn37CAkJoUWLFtosesaMGaxfv56AgAAWLVrE9OnTiY2NveY9cXNz45577uHQoUNs3rwZl8uF3W5nxIgRmp+nU6dOQNXKNT4+nsjISFJSUi6ry2Kx0KpVKwIDA3G5XCQnJ1/Rjt6jRw+MRiPu7u6YTCaOHj1KWVmZVk/Pnj2vaEZTStG1a1esViuLFi2iefPmhIWF1Xp+e/ToUSu2/e677+azzz7jhRdeqNNXEhsby7Rp02jRokW9TWpms5nf/e53GAwGUlJSOH78yruExMTEYLfbeeeddwgKCqJVq1YEBAQQFhaGUgpfX1/8/f3585//jIeHBwaDgfDwcEwmE02bNr1hU219nJhO4AURaQt0A8YppdpW580XkbjqY8sNSXAD9OjRg8jISIqLi9m+fTsul0vrSBcvXtQcHsePH+fs2bPExMRoy2OXy0V2djZpaWl12hCdTicJCQlAVcTAwoULWbVqldYpLl68yMKFCxkwYABvvfUWxcXFiAhHjhxhwYIFFBcXc+rUKWbPns0jjzzC/Pnzsdls7Nixg1mzZrF48WLN1HM1Nm7cqNnxLBYL6enpFBcXa/mHDx9m0KBBDBs2jDfeeIPCwkLatGmDp6cnp0+f5vDhwxw+fJjTp09jtVpJTU0lLy8PESEvL4/i4mLKy8spKSlhypQp7N27l4sXL7J3715mzpzJkiVLyM3N1do7dOgQdru93v+jwMBAzWYYExPDY489puW1atWKzZs38/zzz1NRUcHBgweBKgW8ZMkSHnnkEc3cUoPFYmHq1KnMmjWrVvqlREZGMnbsWHx8fICqB/Cll17i9ddfp3379nz77bfk5uZeFt0gIlccnGqiUAwGA8OGDWP48OEEBgayYcMG1qxZU6eZLTo6upZpoHv37qxYsYKIiAg8PT0xGAzcddddREREkJiYSHR0NCEhIYSEhPD73/++Vl2tWrXib3/7GxaLhU2bNnH33XdfFvlQFy6XSzN7NGnSBBHhxx9/RESYNm0asbGxnDhxopb8fn5+FBUVMXjwYHbs2HHNNuqixoneuXPnK5Zp3br1NSNePDw8NEVbMyGrUXwALVq00J5pu93O9OnT+c9//kNpaSlGo5FWrVpdse7KykqysrLq5RT/4x//iI+PD4WFhbz//vu1+onT6dQmct9//z2lpaV1BhuEhYVdZn6pCSa4dBKYn59fK2qnPlxTgYtIpogcqP5cSlXIYLN6t3AL8PLyIi4uDpfLxalTp3C5XOzduxeHw0FZWRnr1q0DYOfOnbi5uTFo0CCgqlOvX7+eQYMG0bNnT9566606Z9E1in3p0qVMmjSJV155hczMTOx2O6+//jqTJ0/WvNpHjhzh2LFjDBs2jJdffplly5axePFiXnvtNQ4ePIjL5WLVqlWMGDGCmTNnMm7cOCZPnlzL4fpLXC4XW7ZsoU2bNoSEhBAbG0t5ebk2K6qsrGTevHkcOHAAo9FIYGAgUKVs3N3dadmyZS1nyB//+EcAfHx8iI6OxmKx4O3tTfPmzfnhhx/Ytm0bY8aMYfny5fVSDvXBx8eH3//+91gsFhYsWMDo0aO1vKioKNq1a6c55X766ScCAwN5//33CQgI4JtvviE8PJy7775bO2fIkCHMmjWLkJCQesvg5uZGbGws/v7+hIeHU1xcrCk1Dw8Pnn32We655x4iIyOJi4urs46IiAiCg4Px8/MjLCyM0NBQAgICqKysJCEhoU4lcPLkyVqDdNu2beu8r5eGqNUoq1/ODkNCQggLCyM3N1cbgOtDWVmZFukxaNAgLBYL+/btIzU1FQ8Pj1oKtGZmnJqayqpVq4iLi6NJkyY4nc46V5BWq/WKctT00ZpfXNtsNiorK4mJicHb2xsRqZcCN5vNmEwmjEYjXbp0QSlFly5d8Pb2RilF27ZttbJ2u52kpCT69OlD7969MRgMREZGAlwmv8PhYNGiRTz44IMsWrToqs8hVA1q3t7euFwuVq5cyQcffIDT6cRms7FhwwYGDBhAYmIiy5Yt0+7JhQsXNKexzWajadOmBAYGYrPZWL58OU6nE7PZrPlDrFYrubm5jBw5kkGDBnHsWP2jsa8rjFApFQn8DqiJARqvlDqslFqslKrTi6aUildK7VdK7b90RnczGAwGHnroIe1nvy6Xi927d2MwGFBKkZSUhIiQmJhInz59NI9/Xl4e06dPp2PHjnh6erJ48WJOnDhx1bYsFgvnz59nz549JCcn8/777+Pt7U2jRo1wOp3Y7XZcLhfl5eVUVlbi4+NDz549MRqNTJ48mfHjx/Of//xHm81arVa2bdtW5xK1hsLCQs6cOUN6ejpz5sxh7dq1lJaWanHb2dnZ/Pjjj7Rs2ZJNmzbx73//m8DAQHbt2kVJSQlBQUFaaFpBQQGHDh3Czc2NZ555BoPBQExMDD4+PjRv3pydO3ficDgYMmQIDz74IC+//HItB49SCoPBQIcOHertua85z8PDA5PJdFmcbl04HA4++ugjHn30UVJSUjCZTLVm2qdPn74uE86luFwuzSE1e/ZsSkpKGDBgAHPnzmXDhg0kJiZqg/yV8PPz05ynNQ9qeHi4NiOsSRMRrFZrvULCAgMDCQgIoEmTJiilyMrKumJ4XQ1nz56lpKQEEcHlctWK574Uk8mkLcsDAwOJjo4mOTmZP/zhD+zatUuTVUT497//jdPpxOl0YjKZmDp1Kq1atSIjI0NbjUJVvzx69ChfffUVVqu1zhDNjh074ufnpzl8P/30U86fP4+HhwcXLlyguLiY48ePXzOCpk2bNoSGhhISEkLfvn0BtBn43XffraVdyo4dO9i1axcOh4Pt27fjdDrZunVrrVVGjRI9fPgwb7zxBj///PNV5fD392fkyJEYDAbsdjvvvvsu06ZNY+LEicTHx3Pu3Dn8/f21QRDQ9EJOTg5nzpzhyJEjLF68mKVLl7Jz507uuusubQAqKytj6dKlJCYmkpCQQFJSEp988slVZbqUeitwpZQPsBaYKCIlwCIgCogDMoF5dZ0nIh+JSGcR6VyfB7m+1IQaJScnk5GRwZ49e/if//kfYmNjcTqdpKenk5eXx4ABA3B3d8flcrFkyRKsViuPPvooZrOZ3Nxcvv766yu2ER8fz5dffqlFszRu3JiXXnqJjRs3Eh8frz287du356mnntKU1tatWzEYDNx7771kZWXx/fffo5TSjmtx6NAhkpOTOXPmDG+//bZme1uxYoU2UNhsNh599FE6d+5Mz549sVgs2ohuMBjo3bu3NojMnj2buLg42rdvj9FopH379kCVLbpmWQ1VA2N8fLxm7oiOjmbatGnMnDmTuXPn4uXlRUlJCZmZmdpM9lp4enrWK0ImKyuLv//97/zud78jODiY/Px8zp49q+UfPHiQ65kA2O127bpyc3M5ePAgDoeDNWvWaErkzJkzlJeXs2fPnjoVrtVqJSsrC6fTSWVlJcXFxRw5coSioiKMRiMdO3bUZpLfffcdBw4cIDMzUzPj1TVLrVGaNbhcLrZt28aJEyd4/fXXycnJwcPDQ5uZZWZmkp6erg1oJ0+e5IMPPmDTpk0cOXKElJSUy36kA1V+kKysLC3iYuDAgZr5sGblumfPHgASEhLYsmULgYGBREZGMmnSJH788Ufsdjsff/wxJSUl+Pv7U1paysSJE/nkk08IDQ1lxIgRl/Xn6Oho3nvvPVJSUrjvvvuYPHkyAQEBPPHEE+zdu5eCggJ27tx5TZ+Dj48P3bp1o1u3bvj5+QEQFBREdHQ0nTp1umwl1qhRI5RSmrll9+7d2qpFKYW3tzdQO36+pKSE06dPX1UOk8nEE088Qa9evVBKkZmZyZw5c/jggw8oKSnhiSeeIDw8nHHjxtGpUyeaNm2Ku7s7ZrOZoKAgoqKisNlsvPrqq0ycOBGAyZMnExQURLt27TCbzZw4cQKlFG5ubri7uzN48OCrylRLvvoUUkqZqVLen4rIfwBEJPuS/I+BTfVu9VegTZs2hIeHc/DgQV555RVSUlKYNWsW69atY8WKFUyYMIH8/HwtpMzpdJKUlIRSio8//pi8vDzc3d3ZsmULzz33XJ2K1dfXl9atW2t2yZCQEOLj4/n4449ZunSptnyu6Thubm6Ul5dTUFBAbGws99xzD3v27CE3N5exY8dqNuGmTZtqS7xfIiKsXr1am6E0a9aMoUOH8uGHH2q27WbNmmmDhVKK48ePU1hYWEtR3nvvvXh4eGg2uQceeKBev/bz8PDg4YcfZs2aNURFRfHqq69iNpspLCykvLyc8ePHs23bNkaNGsXMmTOvGc9dWlrKqVOnCA4OprCwkJycHIKDg3E6ndogUDNjtdls2qCYn5/P3LlztV/elZeX89JLLxEfH8/9999f5/8rJSWFDRs2MGzYML799lusVis2mw2r1VrLHhwYGEhycjJ9+/bFaDRit9vx8/Ojf//+teqbO3cuCxcu1MwhTz/9NGfPnqWwsJCIiAgGDhxIXl4eZrOZd999l4ULF1JYWIjRaOT8+fNazLjNZtOU9vHjx7HZbJw7d44LFy7g7e3NDz/8QO/evSkuLkYpxUMPPUROTg579+7FZrPx9ddfM2LECEaOHMmCBQt4/fXXcXNzo6ysDIvFctkMPDc3l6eeeoqff/4Zq9XK+PHjtdVqs2bN6NWrFy+++CLfffcdJpMJDw8P9u3bx8CBA1m5ciXLli2jX79+bN68GXd3d3x8fPjHP/7Btm3bePDBB9m6dSthYWF12rnNZjNPPvkkrVq10kIUY2Ji6Nq1K56enjz11FOEh4dftrnWL3F3d+fvf/87IqLJHhQUxPLlyy9bCXp7e7NkyRKSkpLo2rUra9euxWAwYLFYmDlzJh06dNAmJZ6envTo0YNvvvnmqu1fSvv27fn4449ZuHAhK1euxOVyoZRi1KhRTJ48GX9/f1588UVGjRpFcXExiYmJxMTEaE7c8PBwRo4cidls5p577qFPnz4YjUb+9Kc/4XK5aNOmDb179+bDDz/k4sWLl/lBrkpdoSmXHoAClgHv/SI95HKyVF8AAAcJSURBVJLPk4CV16rr19wLxel0yujRo7WwoqFDh0pZWZls2LBBDAaDABIcHCynT58WEZHs7GyJiIiQ1157TUpLSyUnJ0c+++wz2b17d616HQ6H9OzZUwCZOXOmZGRkSGBgoCxdulRERJYsWaLVbzKZtPC4AwcOiK+vrxYmNXPmTBER2bFjhxgMhlohT1fD5XJJXFycmEwmef7552Xz5s2SkZEhfn5+4ubmJkuWLJHU1FSJiIiQJ598Umw2myxfvlyUUloYoYhISUmJdh1ubm7aXhgul0umT58uzZs3l9zcXHn++efFZDLJxIkTtU2R1qxZIx4eHuLp6Slvv/22vP322xIXFyfnzp2T2NhYAcTf318LpbsSU6ZMEUCCgoJky5YtsmXLFvHy8hIPDw+ZN2+eVlfPnj3l+PHjtcL+AGnSpImcOHFCCyMEpGvXrpeFg14aRhgTEyNpaWnSr18/UUrJtGnT5IsvvtA2Qxo2bJisXbu2Vjs+Pj51hhE++OCDtcrVHAEBAfL5559LZWWlWK1WeeaZZ8TX11eee+456dOnjxiNRlm+fLlMmzZNAImMjJTS0lKxWq0yaNAgLSTxhx9+kK+//lr8/f0FEKPRKCNHjpTCwkLJysqS1q1bS9u2beXChQsiUrUZ1Keffipt27aVl19+WWbMmCFvv/22ll9DTk6OxMTECCAeHh6ya9cuWb58uZjNZhk6dKg4nU45deqUzJw5U+bPny8pKSmXbQblcrmksLBQiouL69Vv64PL5bps463bjd1ul//93//Vwkfr+1yKVOmcnJwc7bhSGOSlPPzww9KjR4/r3qzsl3CFMMJrvpFHKdUTSASOADXGpFeAEVSZTwRIAcaKSOY16ioFkq/a4G+bxkDenRbiJtDlv7M0ZPkbsuzQ8OWPkDr2A7/hV6rdCEqp/SJy5fii3zi6/HcWXf47R0OWHRq+/FdCfyu9jo6OTgNFV+A6Ojo6DZTbrcA/us3t/dro8t9ZdPnvHA1Zdmj48tfJbbWB6+jo6Oj8eugmFB0dHZ0Giq7AdXR0dBoot02BK6X6K6WSlVKnlVJTble710P1ni45Sqmjl6QFKqW2KaV+rv5rqU5XSqm/VV/PYaVUxzsn+VW3/W0o8nsopfYqpQ5Vyz+rOv0updSP1XKuUkq5Vae7V38/XZ0feSflr0EpZVRK/aSU2lT9vcHIr5RKUUodqd4een91WkPpPwFKqTVKqZNKqRNKqe4NRfab4bYocKWUEXgfGAC0BUao/25J+1viE6D/L9KmADtE5G5gR/V3qLqWu6uPeKr2hrmTXGnb34Yivw34g4jEUvUDsf5KqW7AHKq2LW4JFAI175UbBRRWp8+vLvdb4HmqduysoaHJ30eqtoeuiZluKP1nAbBVRKKBWKr+Bw1F9hunrp9n/toH0B1IuOT7VGDq7Wj7BmSNBI5e8j2Z6m0DgBAgufrzh8CIusr9Fg5gPXB/Q5Qf8AIOAF2p+vWc6Zf9CEgAuld/NlWXU3dY7jCqFMUfqNobSDUw+VOAxr9I+833H8AfOPfL+9cQZL/Z43aZUJoBaZd8T+cO7yl+HTSV/24RkAXU7Mz+m70mVXvb3wYjf7X54SCQA2wDzgBFIlKzVeClMmryV+cXA5e/YPH28h7wEv/dcqIRDUt+Ab5SSiUppeKr0xpC/7kLyAWWVJuv/qmU8qZhyH5T6E7M60CqhuvfdNylunzbX43fuvwiUikicVTNZLsA0XdYpHqjlPojkCMidb+Hr2HQU0Q6UmViGKeU6nVp5m+4/5iAjsAiEfkdUMZ/zSXAb1r2m+J2KfALwKWvEg+rTmsIZCulQgCq/+ZUp//mrknVse0vDUj+GkSkCPiaKpNDgFKqZs/aS2XU5K/O9weu/a66W0cPYLBSKgVYSZUZZQENR35E5EL13xzgC6oG0YbQf9KBdBGpeRvGGqoUekOQ/aa4XQp8H3B3tUfeDRgObLhNbd8sG4CR1Z9HUmVbrkl/utqj3Q0olmvsxngrUUop4F/ACRH56yVZDUX+JkqpgOrPnlTZ709QpciHVRf7pfw11zUM2Fk9y7ojiMhUEQkTkUiq+vdOEflfGoj8SilvpZRvzWfgAeAoDaD/iEgWkKaUqtlkvC9wnAYg+01zGx0NA4FTVNk1X73Txv8ryPg5VW8XclA1qo+iyi65A/gZ2A4EVpdVVEXWnKFqq93Od1j2nlQtEQ8DB6uPgQ1I/g7AT9XyHwVeq05vAewFTgOrAffqdI/q76er81vc6f5zybX0BjY1JPmr5TxUfRyreUYbUP+JA/ZX9591gKWhyH4zh/5Teh0dHZ0Giu7E1NHR0Wmg6ApcR0dHp4GiK3AdHR2dBoquwHV0dHQaKLoC19HR0Wmg6ApcR0dHp4GiK3AdHR2dBsr/A48SlClWgMdMAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "We have Advice, that the Burford Man of War, Capt. -> \n",
            "We have Advice, that the Burford Man of War, Capt. -> \n",
            "We have Advice, that the Burford Man of War, Capt. ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "They write from St. Kitts, of the 30th of December, -> \n",
            "They write from St. Kitts, of the 30th of December, -> \n",
            "They write from St. Kitts, of the 30th of December, ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "that the Privateer belonging to Mr. Rowland, a Merchant -> \n",
            "that the Privateer belonging to Mr. Rowland, a Merchant -> \n",
            "that the Privateer belonging to Mr. Rowland, a Merchant ->                                       \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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Some People having alledged that Night Marriages are -> \n",
            "Some People having alledged that Night Marriages are -> \n",
            "Some People having alledged that Night Marriages are ->                                       \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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "We are told, that the Court of France has lately given -> \n",
            "We are told, that the Court of France has lately given -> \n",
            "We are told, that the Court of France has lately given ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Letters from Ghent in Flanders mention, that a Spotted -> \n",
            "Letters from Ghent in Flanders mention, that a Spotted -> \n",
            "Letters from Ghent in Flanders mention, that a Spotted ->                                       \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "A Treaty of Marriage is concluded between his Royal -> \n",
            "A Treaty of Marriage is concluded between his Royal -> \n",
            "A Treaty of Marriage is concluded between his Royal ->                                       \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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NTY10pA0MDLB79256e3tZtWoVubm57Nixg8uXL5OWlkZHRwc7duxgYGCAuXPncvDgQbZv3y7HZ3V1Nfv27WP79u18/vnn7Nixg/b2durr66WdVKfTsXXrVhobG/F6vezevZvW1lZcLhfbtm3jzJkzhMNhHA4Hb7/9tlwZ7tixg8OHD0v79Ouvv86uXbvYs2cPW7du5V//9V/p7u4mHA7T2dlJe3u7fPfUqVOTmiIvXrzIrl27GB4e5osvvqCtrU0yPoPBgMVioampiTfffJN/+qd/oqOjQ5rNqqurefXVV/nnf/5nfvKTn/Dpp59OENLasRV573A4+M1vfsM777zD2bNnURRF+i+qq6v5h3/4Bz744ANpTj1+/Dg7d+5k165d7N69m4sXL0ohcOHCBbZu3crrr79OeXm5NCl6PB7Ky8v53e9+x549e2T7qHxk586dfPjhh5w8eZKjR48yMjIigysOHjzIjh072L9/P06nM2odwuEwfX19eL1eWe9wOIzL5ZIBGl6vd4LJcjJMCQau2qtVaCVaIBCgtbUVg8GAXq8nOTkZvV5Pc3MzPT09sgHa2tpobGykpKSEvLw85s6dS1JSEnFxcRw/fpyMjAxKS0tJTU3FZrORkJBAc3Mz7e3tFBUVkZ6eTnFxMdnZ2dJkUVBQIG3NBoOBsrIyZsyYQUpKilwG33rrrXJpWVpayoIFC6QJIBwOk5qaSnp6OlarVWqsAE1NTZw7dw4YExRGo3FCm6iM02azkZiYSFJSEqmpqcTFxZGUlCSZ+vr161m9ejUFBQWcPXuWYDDI3LlzpcCx2Wy0t7cTCASkOWHOnDnMmjWLu+++m0AggF6vJzc3l8LCQgBJe6RNOlKLcLvdctluMpkoLi7GbDaTnJzMokWLuPPOO7FYLFRUVJCRkUF+fj5JSUnodDpp1x8dHcXv90+ou91ul5qjx+Ohv78fRVHIzMwkLy8PnU5HUVERc+fOpaCgAEBOivr6embNmkVWVhZZWVnMnTsXs9k8wckaaVNWtb3i4mLmz5+Pw+EgNzeX+++/n5UrVxIIBGhoaODee++luLiY0tJSent76ezsJDMzk5KSEvR6PYsXL+bee+9l6dKl7Nu3j66uLqxWK4sXL8br9WK1Wrnzzjvl6mb//v0MDw+zZs0aFi1aRF9fH2fPnmV4eJiqqirKysq4/fbbWbVqFQaDAUVRqKys5NKlSzz44IM89thjJCUlcf78eRISEnjwwQcZGRmhvr6eVatWsXLlSioqKmhsbEQIwfz58yktLSUlJYXnnnuOzZs3k5mZeYVDVwhBTk4O+fn5ZGdns3HjRrKzs+Vzo9FIX18fer2eO++8k7q6OtTos76+Pn79618TFxfHc889R3p6Ov/1X/9FQ0NDVI1TO64GBgZ44403OHDgAMFgkBMnTtDX10dCQgJxcXHo9XpOnDjBqVOn8Hq9NDc382//9m9cvHiRY8eOsXXrVqqqqgiFQtTU1PDaa6/R0dFBS0sLr732Gi0tLQSDQXbv3i2/+8UvfsGvf/1rPB6PjHT78MMP6e7u5le/+hWvvvoqPT09BAIBPvnkE37605+yY8cOfvrTn/L2228zMjIyoS7wh9Xc3//93/Ozn/2M/v5+BgYG+PnPf87Pf/5zqqqq+OUvf8n7779PbW0twWBwUt74jWfgoVDoCu1be93X10dtbS2zZs1i/vz5rF27lpkzZ9LT00NTU5Nk4Kr9OSMjA5PJxPLly3n66aex2+1cunSJhIQE4uPjyc/P5/nnn6e4uJimpiYCgQB2u524uDiMRiMpKSk4nU6cTic+n++KkMZIx5pOp8NisTBt2jTMZjNGoxGj0SilvWoaUr3N6uQIh8N8+OGHvPbaa3R3d2O326Nqhzqdjri4OAKBgCxTdUampaVRVFTEn/3ZnzFt2jTa29uJi4vDYrEAY7HVmZmZeDweQqEQKSkpWK1WKYB8Ph9DQ0NyKahqC2p41mSawejoKG63W9KmIi4uDoPBQE5ODqWlpTz88MNyOQ3Q0tLCiRMnSE5Oxmw2EwqFGB4eluFWgGQyFy5coL6+nmAwKJfPanvYbDZSUlIQQkgtPxwO09/fT3d3N9nZ2RgMBhlSajAY5LJbW69IAaVdss+YMYPHHnuM+++/H4/Hw8jICGlpadJ8Z7Va8Xg86HQ6cnJyyM7OJiUlBbPZTHFxMR0dHVJAZ2VlYTAYKC0t5bvf/S7PP/88FouFqqoqsrKypD8kLS0Np9OJEAKz2UxlZSW///3v0ev1rFmzBhgL47TZbAQCAY4dO0YwGJRjw263YzabsdvtTJs2jVtvvZX4+HjpdLVarVKBWbhwIbNmzZIht5Hjzm63k5eXRzAYnOCwVPs8GAySlZXFvHnzSE5O5vLly4TDYerq6ujo6JD9OH/+fPr6+jh//vwVETEqVHPhkSNHOHLkCPfccw9PPfUUmzZtIjMzUzLw6dOnU1RUREpKCkajke7ubhITE3n88cd55plnmDVrFjAWvrdnzx7C4TDPPvssf/7nf87ly5c5ePCgXLGlpKTw9NNPU1BQwMGDB+WegTNnzjBnzhyeeuop7rvvPhkMoJrQ0tPT2bJlC4WFhXzwwQfU1NRcwbP0ej133303KSkp1NTU4PV6MRgMDA4O8umnn/L5558TCoU4evQob7/9NkNDQ1HnGVwHAxdCTBdCHBRC1AghqoUQ3x9P/59CiE4hROX4b9218voqUJl3pHakfZ6UlMT69eu56667WLVqFRaLhf7+fpqbmwkGg/J7VaMDyM3NZenSpcTHx8voE5XZFhcXk5aWNiEeU2ViHo9HLl21USYq4wwEAhOYgdVqxWw2S1twXFycdFZpVxLqc/X6wQcfJC8vD4/HI5lVNK92IBBgZGSE0dFRWVeVJp/PJ52AJpOJQCAgmZY6ydxut9RwU1NTycnJke3s9/ulcNGaR7RhmCq01z6fD7/fP4HRq/kpikJSUhJGo5HExERZflZWFiUlJdxzzz289NJLrFu3Tq46DAYDJpMJGAu5PHLkiNS8TCYTCQkJsnzV5KIoY6Fyfr9f0uvz+TCbzRNspKrJ6Wp2RrU9dDodKSkplJSUYLfbSUpKkmX7/X50Oh2JiYmUlJSwefNmioqKZLSG0WiUdbDZbMBYKJkafaNGwuTk5HD77bdjMpkYHR0lNzdXLrcffvhhbr/9duLj47nnnntob2/n/fff591336W/vx+v10tTUxOjo6MMDAzgcrlYvHgxq1evxmAwEAwGiY+PJy0tDb1eL3+qdqmarFRFQ+27aD8hBC6Xi9HRURwOhxQSIyMj9Pf3k5mZSWJiolwZq0JWFaKjo6OcPHmS9vZ27HY7JpMpajmAVHTOnTtHMBikuLiY+Ph4bDabtHmrjFF1YKpzWQ0TbWlpYe3atZSWluLxeKivryc9PV22VTAYpLq6mlAoxNy5cyksLMRgMGC32xkdHZWRIMFgkAsXLnD48GHsdjuLFi3CarVKTb60tBSbzYbdbqe3t1fOWy3vUoW6qtSp/GHevHmMjIyQmprKpk2bmDt3LvX19dIUGQ3X48QMAn+tKEqFECIROCOE2Dv+7F8URXn1OvL4SggEAlGXD+rk83g8nD59GhjTJi0Wi2Q6gUCA2tpahoeHMZlMZGdno9frGRgYAMYGRVVVFenp6bKx/X4/FouFoaEhFEUhPT2dYDAoO8/r9eJyubDZbCQnJ0vNTWXwqg1LnaAq09NOCNXu5fF4pPMkNzcXs9lMIBCQYYFJSUls2bKFc+fO8fbbb8uoAq0AUzUTdfKozh11IKt0qauHGTNm0NzcLDf7OJ1O3G63jMRRd1BGavJaM4Jer5cbD7SRKNoNC6qdLzk5eYLpRxWGagSGGtWTmpqKw+HAYDBgs9no6emhoqKCvLw86SBSmeSJEycwmUwsWbKEc+fOkZiYiNFonKC9qWFk6mpBZZyqBnz58mVCoZAUpomJiRO0+MmiINS6qSYbtR98Ph9ut5u+vj7mz59PWloaDodDCjA1zE193+12k5CQwIwZM+SEVstT7d3qCmFkZIRly5ZJJqUKR7PZzLp166ioqOD8+fN8+eWXrFq1CiEEw8PDlJWVMW3aNEKhkFwJqAJYvVbNUx6PR46f/v5+aVO+dOkSycnJ2Gy2CX4XddzpdDoSEhKuCFlVNwJpGZZ6bzabSUlJoaioiJycHPLy8li1ahUzZsyYsHFIO9dVXuBwOPB6vbI/VXv14ODghBDY+Ph4dDods2fPpqCggP3791NZWcmCBQtYuHAhgUCAgYEBUlJSqK+vp7Ozk8LCQrnxTfXD7N27F4fDQUZGBgkJCRgMBlasWMGJEyd44403SEpKYuXKlSQlJdHf3y/z3bdvH83NzRQVFUkHZTQFQeUF6r4Wi8VCSkoKM2fOxGAwkJycjNPpnGCGicQ1NXBFUboVRakYvx4GLjK2jf6/FepAmGxDidPp5IsvvmDfvn20trbS09MjIxOGhoawWCw0NDRw8uRJhoaGsNlsZGdn43A46O3tpampidOnTxMKhSguLqa1tZXz58/T1dXF559/TkNDg1xqnz9/HpfLRUtLCz6fj+XLl8tlWmJiIuFwGLfbTVNTE/Hx8ZJBh0IhOjs75RZ/r9dLf38/w8PDdHV1SfsywIULFzh16hQOh4OhoSFOnDiB1+vFZrMRHx8vw+q0EyUQCHDp0iW8Xi+hUEhq0urAGB0dlSsFnU7HokWLMBgM1NTU4HQ6uXjxIrfccgsLFy7EYDBQW1tLS0sLDoeD0dFRGRZ56dIlnE4ntbW1hMNhGhsb5UoGJu52vHTpEvX19YRCIdxut3ReqWYst9vN4OCg/D49PZ158+bR0tJCdXU1LpeLEydO0NbWRigUoqenR5oBQqEQXV1d0tQzNDSE3++ntbWV7u5u2Q5aRhcXF4fL5cLv90vG0djYSH9/P/39/bS1teFyuejt7Z1UWVDrpzqEe3p6pHNP9W8kJydz7tw5aU45fPgwly9fBpBRTx6PB5/PR21tLVlZWZKBu91ufD6fXEHB2G685ORkqqqqcLlcGAwGmpqaqK2tZWhoiC+++IKysjI2b94szScmk4lZs2bJ1afBYGBgYIBDhw5J5UM7p9TQRnWJrjIRNYRQrUM027TKjHU6HSaTCafTKVdrNptNCqLR0VFpthNCkJeXh8lkwufzMW3aNPLz87FarbS1tV0x1yNt4SqD9vl8kiar1Yper5f9rg0JbW9v56677mLLli0UFRVx9uxZent7pZktPT2dtWvX8vTTT/OjH/2Ixx9/HJ1Ox9GjR7lw4QLFxcXMnDmT5ORkScvMmTP5/ve/z2OPPUZiYqK0USckJJCcnExJSQlr167lBz/4AX/7t3/LvHnzJtRB/avWR2viGhwcRKfTyRW6qpBdDX+UDVwIkQcsAE6OJ70ohDgvhPilECJ1km9eEEKUCyHKVVvntaBqW9oJpV1SCSHweDw0NzeTm5uLzWajs7NTSuFp06ZJW9jevXuprKwkMTGRdevWMTAwwHvvvccnn3yC0WjEZrOxfPlycnNzee+999i2bRtut5uMjAzy8vLYsGEDDQ0NbN++ncOHD1NWVsaqVatknPPq1asJBoMcOXIEnU5HQUEBDoeD1tZWAoEAPT09xMfHc/HiRWpra2lrayM+Pp7GxkacTicGg4F58+YxMDBAZWUler2eoqIicnNz+eyzz/jd735HQkICZWVlE+zJMObUeffdd6UE7+3tRVEUuru7MRqNuN1uuYQTQlBYWMiGDRs4c+YM27Zto6amhvvuu4+cnBxCoRCDg4NkZmbicrno6+vD5XIxa9Ysmpub6ezspLW1lfT0dLq7u6UWqu2bQCDAwYMH2bdvn4yD37t3r3RmXr58mZSUFCorK6mqqpLO3w0bNmCxWHjrrbd46623qKioYPHixbhcLs6fP4/BYODYsWO4XC5mz55NR0cH9fX15Ofnc8stt3DkyBGGhoakg29kZITy8nIpkM1mM06nE5PJxOrVq1EUhY8//phTp05J7Wn79u2yTpPZ9js6Omhvb5chm6rAzM7O5v7776euro7333+fzz//nP7+fumMDIfDOJ1O6urqqK6upqGhgbVr15KZmYmiKHR0dABQXfdn3eQAAAz5SURBVF0twxrj4+MpKiqipaWFffv2UV5ezmeffQaMMdqOjg4++ugjzpw5g8/no6CgAIvFwsKFC0lOTubDDz/k448/ZseOHZLRNjQ0AGMrr+HhYS5evCi1xlAohNFoZObMmTQ3N3Pw4EHa2tqk4qD2s/av2WxmZGSE06dPc/z4cQKBgDyPx+v14na7ZWy8ukHLZDLhdrs5cOAAQ0NDDAwMyEgitW7aaCCtH2nZsmUyIEFdCanzC8bMG2o0WiAQoKamhtOnT7N8+XKeeeYZpk2bRktLi/TF1NXV4fP5SE9PJy4ujpMnT9LW1sb7779PQUEBhYWFOJ1O+vr6cLvdjI6Osnv3bvLz8/nOd77DAw88QGdnJ319fXIFrfqrZs2aRWNjI1VVVdF4ovxrMpkkn1OFa2JiorQm2O12EhISJuWV1x0HLoRIAH4L/KWiKENCiDeAfwCU8b//B3g28jsl4iyUq5WhMm7VBBJt046KrKwsNm3aJG2PqhNw7ty5/PVf/zWjo6MMDQ0RCoXIycnBYDCwcuVK8vLy6Orqwu/3U1xcLJ2DL774IhcuXCAtLY2SkhK5+ePhhx9m9uzZtLa2UlhYKCNPVIfW3XffTVFREX6/XzL9goICcnNzMRqNbNiwgUWLFmE0GsnJycFut7NgwQIMBgOJiYno9XppmzObzXIT0dy5c2lpaaGnpwe73U5+fr4c0CqTSUpK4qGHHsLtdmOz2cjLy0MIwZw5c/irv/orrFYrdrt9ginnvvvuY86cObhcLjIyMsjJyZE2ygceeIDly5dL2+6jjz7K/fffTygUwmazsWXLFrkcj3SqKuPhXOvWrWPx4sVSg1B3Uep0OpYuXUpubi7Dw8PMnDlTfl9UVMSPfvQjysvLSU1NZebMmeTn56PT6diwYQOrV6/G7/djtVrZuHEjJSUlpKenk5mZycsvv4zX62X69OnY7Xa+973v4fF4pLP6O9/5DhaLRUZJFBYW8uKLL9LX10dubi4LFy4kIyMDo9Eod2NONjbNZjOLFy9mwYIFsq2FEBgMBh588EEKCgpobGwkLy+PO++8UzoTh4aGKCoqwmw209vbyyOPPEJpaal0Js+ePZu7774bo9HI4OCg3LC1ceNGaXNtb29n0aJFzJ07l0AgwLJlyxgdHeXo0aPY7XZWrlyJ0WikrKyMZ599lkOHDnHo0CHuuOMOli9fTigUor29ndmzZ+PxeGhra+PChQtyI5TqpF29ejV1dXWcP3+eJUuWSPOIykjVtoiLi2PZsmV88cUX1NTU8OSTTxIXF0dFRQUwthrYu3cvfr+fxMREampqGBgYIDs7m/vuu48DBw7wq1/9Cr1ej8vlkufQRMZcq9d6vZ57772XXbt2sXfvXnJycuTK+MyZMzgcDhISEggEAnR0dEhTUHl5OceOHcNut8tVutVqpaSkhLfffps9e/awdu1ajhw5IstSTVhqSLLD4eDAgQOsXbsWh8PBjh07ePnll0lNTUWv1xMMBrnlllsoLCzk8OHD0udw/Phxvv3tb09g2FpfzdDQEKOjozJM1uPxMDQ0hMvlkiuY4eHhqzoxr+s8cCGEAdgFfKYoyj9HeZ4H7FIUpfRq+Ux2mJXqPIm0eUeLBtCUOSFGMpKZqE4Z+INUVweFqg2ojEvNS7vjTbtbTTVPqLa8yAOntI4dtS6qvVf9XjsJVNrU8tU20NZDS6dqf9ZqJdplmDZvNT+1HdX0yLYJhUITtJ1rtbm2TG2+2mfa/LVtom1/bdnqIFXTVY1W2y7avlTtqGpIqXZjiHbiq/ZtLc1aerVLddW5rQqgyDNTIuuuOmK1Y0dLp8/nm0C/1+vlH//xHzEYDPzgBz+Qtn/tOFJt6EKMRbiovgvVNKc6sdToHEDarx0OB4mJiVJgqePY6XTi8XhIS0sjOTkZGAvhczqdWK1W0tLSGBkZweVykZKSgs1mQ6fTEQqFZJio6vyOVKLU9gkEArS0tKDX66WSpGrF6enpcvyqcdK33HIL8fHxOJ1Odu/eTWdnJ7NmzeLWW28lLy9vgvM/2nwPhUIcO3aM9957T66cDx8+TH19PX/xF3/BHXfcIQ/TWrNmDW1tbVRUVNDZ2cnly5fJysripZdeIjc3l8bGRn7yk59w+fJllixZQm5uLg899BBWq5VPP/2UoaEh8vPz8fv9fPTRR9jtdl588UX279+Pw+EgPT2dzs5OhBBs3ryZhIQEvvjiC958801MJhNJSUncfvvtPPTQQ6SlpV3RdnV1dfz4xz/G7XazefNm5s2bx6uvvkpXVxebNm3i7rvv5he/+AUtLS2sWbOGl19++YyiKAuJwDUZuBhr0V8BA4qi/KUmPVtRlO7x678C7lAU5cmr5RXJwFWpo4bUXS+0k2YyB4Gav1b6qYhkUlobbqRzTn1fZc6R0jTSoahlZpF0RXOOaRmyNk3L0K+Gq9GmInIJfLX8tW0bTXBeC2rZ2vzVvLTtHCmM1HLUd7XfRLbNteiJdPZGq4P2WbT3o9UpksZo+UW26+joKD/+8Y+xWCy88sorUsuPNsYi84rWHpG0qyGskfRrQ1mjva8VnFpBrqZFlhVNoEdToLQ0R+s7VTD5fD58Pp8M44wmOCPrrCos/f39MuJH1VjVqBfVl6BGXYVCIZxOJ729vWRlZUlziboiUQ9KKysrk87aYDAoQ1fV8D5FGQvDVH1bAwMDeL1eMjIy5Hd+v5+Ghgba2trIyspi1qxZMiImst9cLhenTp1Cr9dTUFCA2WymubmZ5ORkkpOTSUxMpKWlhVAohF6v56677vrKDHwFcAS4AKhc9kfAJqCMMRNKK/DnKkO/Sl7DQN1VC/xmww70fd1E3ABi9H+9mMr0T2XaYerTf4sS5Tzwr/wv1b4KhBDl0aTIVEGM/q8XMfq/Pkxl2mHq0z8ZvvE7MWOIIYYYYoiOGAOPIYYYYpiiuNkMfOtNLu9PjRj9Xy9i9H99mMq0w9SnPypuqg08hhhiiCGGPx1iJpQYYoghhimKGAOPIYYYYpiiuGkMXAjxLSFEnRCiUQjxw5tV7h8DMXamS48QokqTliaE2CuEaBj/mzqeLoQQr4/X57wQ4ravj/KrHvs7Veg3CyFOCSHOjdP/v8bTZwohTo7T+YEY+wfaCCFM4/eN48/zvk76VQgh4oQQZ4UQu8bvpwz9QohWIcQFMXY8dPl42lQZPylCiN8IIWqFEBeFEEunCu03gpvCwIUQccAvgPuBEmCTEKLkZpT9R+K/gG9FpP0Q2K8oSgGwf/wexupSMP57AXjjJtE4GdRjf0uAJcCW8TaeKvT7gHsURZnP2AaxbwkhlgD/m7Fji2cDg8Bz4+8/BwyOp//L+HvfBHyfsRM7VUw1+u9WFKVMEzM9VcbPa8AeRVGKgPmM9cFUof2rQ3uWx3/XD1jK2Dkq6v0rwCs3o+yvQGseUKW5rwOyx6+zgbrx6/8LbIr23jfhB+wE1kxF+oF4oAK4g7Hdc/rIcQR8Biwdv9aPvye+ZrqnMcYo7mHs7CAxxehvBewRad/48QMkAy2R7TcVaL/R380yoeQC7Zr7Dm7CmeJ/ImQqfzgiwAFkjl9/Y+skJh77O2XoHzc/VAI9wF6gCXAqiqKecKalUdI//twF2G4uxVfgX4G/5Q9HTtiYWvQrwOdCiDNCiBfG06bC+JkJ9AJvjZuv3hRCWJkatN8QYk7MPwLKmLj+Rsddiohjf7XPvun0K4oSUhSljDFNdjFQ9DWTdN0QQqwHehRFOfN103IDWKEoym2MmRi2CCHu0j78Bo8fPXAb8IaiKAsAN38wlwDfaNpvCDeLgXcC0zX308bTpgIuCyGyYewERsa0Q/gG1kmMHfv7W+A9RVG2jydPGfpVKIriBA4yZnJIEUKo59ZraZT0jz9PBvpvMqlaLAc2CCFagW2MmVFeY+rQj6IoneN/e4CPGROiU2H8dAAdiqKo/2jmN4wx9KlA+w3hZjHw00DBuEfeCDwJfHKTyr5RfAJ8d/z6u4zZltX0/zHu0V4CuJRrnMb43wkhhAD+E7ioTDyzfarQny6ESBm/tjBmv7/IGCN/dPy1SPrVej0KHBjXsr4WKIryiqIo0xRFyWNsfB9QFOVppgj9QgirGPuft4ybH9YCVUyB8aMoigNoF0IUjietBmqYArTfMG6io2EdUM+YXfPHX7fxfxIa3we6gQBjUv05xuyS+4EGYB+QNv6uYCyypomxo3YXfs20r2BsiXgeqBz/rZtC9N8KnB2nvwr4u/H0fOAU0Ah8BJjG083j943jz/O/7vGjqcsqxv7ByZShf5zOc+O/anWOTqHxUwaUj4+fHUDqVKH9Rn6xrfQxxBBDDFMUMSdmDDHEEMMURYyBxxBDDDFMUcQYeAwxxBDDFEWMgccQQwwxTFHEGHgMMcQQwxRFjIHHEEMMMUxRxBh4DDHEEMMUxf8DepDIeSBQ1LoAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAAyCAYAAABF/oDsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAIcElEQVR4nO3df2xVZx3H8fent/Y3pS2UX2tjQUgXElwHzYSUEBiMAjE1hgYGRJqmCf6xJTMxMaCJ0T9N1DmjWZxz+o9xxvmLkEVEtj/8a6NsjPFDtk4xg2xjmm0u/qHivv5xnguX9pzbH7e9t4/5vpKT3vOc557zOec+92n73HufKzPDOedcfKoqHcA559zMeAfunHOR8g7cOeci5R24c85Fyjtw55yLlHfgzjkXqZI6cEm7JF2RNCbp6GyFcs45NznN9H3gknLAa8ADwDXgDHDAzC7NXjznnHNZSvkL/D5gzMz+bGb/Bp4GPjM7sZxzzk3KzGa0AIPAkwXrnwO+l1LvCDAaFqvE0traarW1tanbli1bllq+aNEiq66uztxn1v3yS319vTU3Nxets2TJEpM0pf3W1NRYW1tb0f3lcjlrb2+fdt7a2lprbW0t6RpLsqVLl07rWlRVVWXmbWpqssbGxjvqLlmyZMaPR11dnS1cuHDG55e1/2L7nawNNTc3W319/bQe69bWVqupqZlWxmLtYrL7ppWnPZ/S2tD4+7a3t1sul5vWtchf45aWlqL529vbraqqqqRr0dzcbA0NDanbij1H2traMh+TxsZGa2pqurUuaUI7nsr5Ae+m9cNz/iKmmT1hZr1m1jvXx8qyY8cOOjs7U7cNDw8jaUL5wMAAbW1tmfscHh4ueszu7m76+vqK1jl06BC1tbV3lI2MjKTWXb58Of39/UX3t2DBAgYHB1O3Ze0XoLOzkx07dhTd92Sqq6s5fPhw6rasa9HY2Mj+/ftT79Pb28u6deturTc0NGTWheLnB7B69Wq2bNlStE6WqqoqhoaGUretWrWKrVu3pm4bGBhg8eLFmfvt6+uju7t7QvmKFSsyH+v+/n5WrFiRui2rTRZrFwC5XC7z/IaGhsjlcneUbd++fcLzqaOjg507dxbNs3fvXpqbm1OPk3UtALq6uti2bVtmfoB9+/bR1NSUeey8Ytdi48aNrF27NnVbsefI7t27WbZsWeq2np4eNmzYcGu9rq6OgwcP3lGnq6srsw0V+GtaYSkd+HWg8FHsCGXOOefKoJQO/AywRtJKSTXAg8Dx2YnlnHNuMtUzvaOZ3ZT0MHASyAFPmdnFWUvmnHOuqBl34ABm9izw7Cxlcc45Nw3+SUznnIuUd+DOORcp78Cdcy5Sk3bgkjolPS/pkqSLkh4J5V+TdF3SubDsmfu4zjnn8qbyIuZN4Itm9pKkBcBZSafCtkfN7JtzF88551yWSTtwM3sLeCvc/lDSZeCuuQ7mnHOuuGmNgUvqAu4FXghFD0s6L+kpSa0Z9zkiaVTSaElJnXPO3WHKHbikJuCXwBfM7B/A48AngB6Sv9C/lXa/+TAXinPO/T+aUgcu6WMknfdPzexXAGb2jpn918w+An5IMr2sc865MpnKu1AE/Ai4bGbfLihfXlDts8CF2Y/nnHMuy6TfyCNpM/BH4FXgo1D8ZeAAyfCJAVeBz4cXPIvt60PgSmmRK2ox8LdKhyiB56+smPPHnB3iz/9xM2sfXzjjr1SbCUmjMY+Fe/7K8vyVE3N2iD9/Fv8kpnPORco7cOeci1S5O/Anyny82eb5K8vzV07M2SH+/KnKOgbunHNu9vgQinPORco7cOeci1TZOnBJuyRdkTQm6Wi5jjsdYU6XG5IuFJS1STol6fXwszWUS9J3w/mcl7S+csmLTvsbS/46SS9KeiXk/3ooXynphZDz5+ELtJFUG9bHwvauSubPk5ST9LKkE2E9mvySrkp6NUwPPRrKYmk/LZKekfQnSZclbYoleynK0oFLygHfB3YDa4EDktaW49jT9BNg17iyo8BpM1sDnA7rkJzLmrAcIZkbppLy0/6uBTYCD4VrHEv+fwH3m9k9JB8Q2yVpI/ANkmmLVwPvASOh/gjwXih/NNSbDx4BLhesx5Z/m5n1FLxnOpb28xjwOzO7G7iH5DGIJfvMmdmcL8Am4GTB+jHgWDmOPYOsXcCFgvUrwPJwezlwJdz+AXAgrd58WIDfAg/EmB9oAF4CPkXy6bnq8e0IOAlsCrerQz1VOHcHSUdxP3ACUGT5rwKLx5XN+/YDLAT+Mv76xZC91KVcQyh3AW8WrF8jnjnFl9rtKQLeBpaG2/P2nMZN+xtN/jD8cA64AZwC3gDeN7OboUphxlv5w/YPgEXlTTzBd4AvcXvKiUXEld+A30s6K+lIKIuh/awE3gV+HIavnpTUSBzZS+IvYk6DJb+u5/X7LjVx2t9b5nt+S2a37CH5S/Y+4O4KR5oySZ8GbpjZ2UpnKcFmM1tPMsTwkKQthRvncfupBtYDj5vZvcA/uT1cAszr7CUpVwd+HegsWO8IZTF4Jz/zYvh5I5TPu3NSyrS/RJQ/z8zeB54nGXJokZT/5qjCjLfyh+0Lgb+XOWqhPmBA0lXgaZJhlMeIJz9mdj38vAH8muSXaAzt5xpwzczyXzTzDEmHHkP2kpSrAz8DrAmvyNcADwLHy3TsUh0HhsLtIZKx5Xz54fCK9kbgA5tkNsa5JKVP+0s8+dsltYTb9STj95dJOvLBUG18/vx5DQLPhb+yKsLMjplZh5l1kbTv58zsEJHkl9So5DtvCcMPO0mmiJ737cfM3gbelNQdirYDl4gge8nK+ELDHuA1knHNr1R68D8j489Ivl3oPyS/1UdIxiVPA68DfwDaQl2RvLPmDZKpdnsrnH0zyb+I54FzYdkTUf5PAi+H/BeAr4byVcCLwBjwC6A2lNeF9bGwfVWl20/BuWwFTsSUP+R8JSwX88/RiNpPDzAa2s9vgNZYspey+EfpnXMuUv4ipnPORco7cOeci5R34M45FynvwJ1zLlLegTvnXKS8A3fOuUh5B+6cc5H6H1w4ELm3bcR/AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Accounts from Ireland represent the disease in -> ccountroIrcanrepresentthaiseasci\n",
            "Accounts from Ireland represent the disease in -> ccountsroIrclanrepresentthcaiseasci\n",
            "Accounts from Ireland represent the disease in -> ccountsroIrclanrepresent t)hcaiseascIi\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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAAyCAYAAABF/oDsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAIe0lEQVR4nO3dXYxUZx3H8e9vd3Z3WHbZF3ZZoEtcVggNIXYKBCEQstSUtxCBQEJ5WRdCghdtUhMTA5oYvTRRa42msdbqjbHGqpWQRkTaC69aoKWUF2mpYgppSzVtbbxQsX8vzjMw7M6c2Z1ZZvZJ/p/kZOc858w5v5l55r+7z8w8IzPDOedcfBrqHcA551xlvIA751ykvIA751ykvIA751ykvIA751ykvIA751ykqirgkjZKuizpiqTDkxXKOedcear0feCSGoE3gAeBa8ApYLeZXZy8eM4550qp5i/wFcAVM/uLmf0HeAbYOjmxnHPOlWVmFS3ATuCpgvVh4AdF9jsEnA6LAZbNZq2zs9Py6/mlq6vLmpubb603Nzdbd3f3HfvMnj17zPXyS19fn0kquR2wTCZjPT09qft0d3ffkWP00t7ebq2trRM6brHcs2bNSs07c+ZMa2pqSs3a0dFh2Wy26LZsNmsdHR1Fb1+p47a1tVlbW1vqOfv6+lK3529bQ0NDRfdx2mM83qWxsdF6e3snfPy0PpSWefr06Xfcb5Js1qxZE+oPox+78TxHKllK9Yv8Uklfbmlpsa6urqL7l7svxnOfTJs2zWbMmDHhxzptKVcvenp6LJPJpB5DUtHnQyX3cZk+8X6xOnzXX8Q0syfNbLmZLc+3DQwMsG7dujH7btiwgblz595anzNnDhs2bLhjn4MHD5Y81/DwMJlMJjVPV1cX27ZtS91n06ZNzJ49u+T2FStWsGTJkjvaOjs72b59e9H9Gxoa2L9//5j2vXv30tLSUvI8W7Zsobe3NzXr0NAQg4ODRbctWLCAtWvXjmnfvHlzyduXy+XI5XKp5xwZGaGxsTF1n127dtHa2lpy++jHutCBAwdSjz0e7e3t7Ny5s+i2tD60b98+mpqaim5L6xe5XI5ly5bdWs9ms+zZs6fkedIywPifI5Uo1S/y0p4jDQ0NjIyMjGnv7+9n/fr1Ra9T7r7IH7fYcyRv0aJFrF69uui2GTNmsGPHjtTjF1OuXmzdupXu7u7UY2QyGYaHh8e0Dw4OMjQ0VPJ6xepFmT7xt2KN1RTw68C8gvX+0Oacc64Gqingp4CFkuZLagYeAo5OTiznnHPlpI83pDCzm5IeAY4DjcDTZnZh0pI555xLVXEBBzCz54HnJymLc865CfBPYjrnXKS8gDvnXKS8gDvnXKTKFnBJ8yS9KOmipAuSHg3t35B0XdLZsGy++3Gdc87ljedFzJvAl83sFUntwBlJJ8K2x8zs23cvnnPOuVLKFnAzewd4J1z+WNIl4J67Hcw551y6CY2BSxoA7gdeCk2PSDon6WlJXSWuc0jSaUmnq0rqnHPuDuMu4JLagF8DXzKzfwJPAJ8GciR/oX+n2PWKzYXinHOueuMq4JKaSIr3z83sNwBm9p6Z/c/MPgF+TDK9rHPOuRoZz7tQBPwEuGRm3y1on1Ow23bg/OTHc845V0rZb+SRtAb4E/A68Elo/iqwm2T4xICrwBfDC55px/oYuFxd5LrqAf5e7xBV8Pz1FXP+mLND/Pk/ZWZj5pau+CvVKiHpdMxj4Z6/vjx//cScHeLPX4p/EtM55yLlBdw55yJV6wL+ZI3PN9k8f315/vqJOTvEn7+omo6BO+ecmzw+hOKcc5HyAu6cc5GqWQGXtFHSZUlXJB2u1XknIszpckPS+YK2bkknJL0ZfnaFdkn6frg95yQtrV/y1Gl/Y8mflfSypNdC/m+G9vmSXgo5fxm+QBtJLWH9Stg+UM/8eZIaJb0q6VhYjya/pKuSXg/TQ58ObbH0n05Jz0r6s6RLklbFkr0aNSngkhqBHwKbgMXAbkmLa3HuCfoZsHFU22HgpJktBE6GdUhuy8KwHCKZG6ae8tP+LgZWAg+H+ziW/P8GHjCz+0g+ILZR0krgWyTTFi8APgAOhv0PAh+E9sfCflPBo8ClgvXY8q8zs1zBe6Zj6T+PA783s3uB+0geg1iyV87M7voCrAKOF6wfAY7U4twVZB0AzhesXwbmhMtzgMvh8o+A3cX2mwoL8DvgwRjzA63AK8BnST49lxndj4DjwKpwORP2U51z95MUigeAY4Aiy38V6BnVNuX7D9AB/HX0/RdD9mqXWg2h3AO8XbB+jXjmFO+z21MEvAv0hctT9jaNmvY3mvxh+OEscAM4AbwFfGhmN8MuhRlv5Q/bPwJm1jbxGN8DvsLtKSdmEld+A/4g6YykQ6Ethv4zH3gf+GkYvnpK0nTiyF4VfxFzAiz5dT2l33epsdP+3jLV81syu2WO5C/ZFcC9dY40bpK2ADfM7Ey9s1RhjZktJRlieFjS2sKNU7j/ZIClwBNmdj/wL24PlwBTOntValXArwPzCtb7Q1sM3svPvBh+3gjtU+42qci0v0SUP8/MPgReJBly6JSU/+aowoy38oftHcA/ahy10Grg85KuAs+QDKM8Tjz5MbPr4ecN4Lckv0Rj6D/XgGtmlv+imWdJCnoM2atSqwJ+ClgYXpFvBh4Cjtbo3NU6CoyEyyMkY8v59i+EV7RXAh9ZmdkY7yap+LS/xJO/V1JnuDyNZPz+Ekkh3xl2G50/f7t2Ai+Ev7LqwsyOmFm/mQ2Q9O8XzGwvkeSXNF3Jd94Shh/Wk0wRPeX7j5m9C7wtaVFo+hxwkQiyV62GLzRsBt4gGdf8Wr0H/0tk/AXJtwv9l+S3+kGSccmTwJvAH4HusK9I3lnzFslUu8vrnH0Nyb+I54CzYdkcUf7PAK+G/OeBr4f2QeBl4ArwK6AltGfD+pWwfbDe/afgtgwBx2LKH3K+FpYL+edoRP0nB5wO/ec5oCuW7NUs/lF655yLlL+I6ZxzkfIC7pxzkfIC7pxzkfIC7pxzkfIC7pxzkfIC7pxzkfIC7pxzkfo/9t8Qv1zGYqUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "the potato crop as prevalent there as in this -> t1hicptaocoPaseva1ntherasntbi\n",
            "the potato crop as prevalent there as in this -> t1hicpotaocroPasreva1cnthereasntbi\n",
            "the potato crop as prevalent there as in this -> t1hicpota1o croP asreva1cnthere asntbi\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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8/mOMGQLOiMhyt+lu4BAeiL1kc3ig4R7gCE5d85n5Lv5/S4z/jnP9zzTOt/qjOHXJ94GjwF4g7m4rOCNrjuNMtds1z7HfivMT8WOg373d46H41wL73fg/Af7KbW8FfgscA34FhNx2210+5q5vne/9p+i93AG846X43TgPuLdP8/9HPbT/rMO5tOPHwP8AVV6JvZSbnkqvlFIepQcxlVLKozSBK6WUR2kCV0opj9IErpRSHqUJXCmlPEoTuFJKeZQmcKWU8qj/A4g8xHT4rD/bAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAAyCAYAAABF/oDsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAHk0lEQVR4nO3dX2zVZx3H8feHFlrb2rVQOugglilx6YXrKJklECNrJghGMZAwaHRpmgDJlszExIAmRi9N1DmjWZxzemOccf4jZBGR7cKrDdgY449snWIG2cY021y8UHFfL37POZyWlkJPOadP/LySJ/09z+93zvmc7se3Z8/vnOcoIjAzs/zMq3cAMzObGRdwM7NMuYCbmWXKBdzMLFMu4GZmmXIBNzPLVFUFXNJGSWcljUnaO1uhzMxseprp+8AlNQAvAXcD54EjwI6IOD178czMbCrVvAK/ExiLiD9HxL+Bx4HPzE4sMzObVkTMqAHbgEcr+p8DvjfJcbuAo6lFd3d3SAoggFiyZEl5W1J0d3dHQ0NDLF68+Ipj29raorW1tdxftGhRzJ8/v9xvamqKzs7Ocr+9vT1aWlrK/dL9lvoTM1RmAaKxsTG6urrGjbW2tkZbW1sA0dHREU1NTeV93d3dMW/evGhubo6enp5ob2+PpUuXlu934cKF0dPTMy6zm5ub28Ta09HREc3NzZVjb05Wh2/4RcyIeCQiVkfEaoDh4WGamprK+0dHR8vbCxYsYHh4mPb2drZu3crOnTtpbm4u7x8YGKC/v7/c37x5M93d3eX+8uXLGRoaKvcHBwfp6+sr99va2ti2bdsVGUdHR5HEyMjIuPHOzk62bNkybqy/v5+BgQEAhoaG6O3tLe/bvn07LS0t9Pb2smfPHtauXcvo6Gj5fjds2MDu3bvp6uq62q/MzP7PjIyMIKncX79+/bjaAvx1sttVU8AvAMsr+svSmJmZ1UA1BfwIsFLSCkkLgHuA/bMTy8zMptM40xtGxCVJ9wMHgQbgsYg4NWvJzMzsqmZcwAEi4kngyVnKYmZm18GfxDQzy5QLuJlZplzAzcwyNW0Bl7Rc0tOSTks6JemBNP41SRckHU9t042Pa2ZmJddyEfMS8MWIeE7S+4Fjkg6lfQ9GxDdvXDwzM5vKtAU8Il4DXkvb70o6A9xyo4OZmdnVXdccuKRe4A7gmTR0v6QTkh6T1DnFbXZJOirpaFVJzcxsnGsu4JLagF8CX4iIfwAPAx8E+ileoX9rsttNXAvFzMxmxzUVcEnzKYr3TyPiVwAR8UZE/Dci3gN+SLG8rJmZ1ci1vAtFwI+AMxHx7YrxpRWHfRY4OfvxzMxsKtN+I4+kdcAfgReB99Lwl4EdFNMnAZwDdqcLnle7r3eBs9VFrqsu4G/1DlEF56+vnPPnnB3yz/+BiFg8cXDGX6k2E5KO5jwX7vz15fz1k3N2yD//VPxJTDOzTLmAm5llqtYF/JEaP95sc/76cv76yTk75J9/UjWdAzczs9njKRQzs0y5gJuZZapmBVzSRklnJY1J2lurx70eaU2Xi5JOVowtlHRI0svpZ2cal6TvpudzQtKq+iW/6rK/ueRvlvSspBdS/q+n8RWSnkk5f56+QBtJTak/lvb31jN/iaQGSc9LOpD62eSXdE7Si2l56KNpLJfzp0PSE5L+JOmMpDW5ZK9GTQq4pAbg+8AngT5gh6S+Wjz2dfoJsHHC2F7gcESsBA6nPhTPZWVquyjWhqmn0rK/fcAgcF/6HeeS/1/AXRFxO8UHxDZKGgS+QbFs8YeAt4DRdPwo8FYafzAdNxc8AJyp6OeWf31E9Fe8ZzqX8+ch4HcRcRtwO8V/g1yyz1xE3PAGrAEOVvT3Aftq8dgzyNoLnKzonwWWpu2lwNm0/QNgx2THzYUG/Ba4O8f8QAvwHPBRik/PNU48j4CDwJq03ZiOU51zL6MoFHcBBwBllv8c0DVhbM6fP8BNwF8m/v5yyF5tq9UUyi3AqxX98+SzpvjNcXmJgNeBm9P2nH1OE5b9zSZ/mn44DlwEDgGvAG9HxKV0SGXGcv60/x1gUW0TX+E7wJe4vOTEIvLKH8DvJR2TtCuN5XD+rADeBH6cpq8eldRKHtmr4ouY1yGKP9dz+n2XunLZ37K5nj+K1S37KV7J3gncVudI10zSp4CLEXGs3lmqsC4iVlFMMdwn6WOVO+fw+dMIrAIejog7gH9yeboEmNPZq1KrAn4BWF7RX5bGcvBGaeXF9PNiGp9zz0mTLPtLRvlLIuJt4GmKKYcOSaVvjqrMWM6f9t8E/L3GUSutBT4t6RzwOMU0ykPkk5+IuJB+XgR+TfFHNIfz5zxwPiJKXzTzBEVBzyF7VWpVwI8AK9MV+QXAPcD+Gj12tfYD96bteynmlkvjn09XtAeBd2Ka1RhvJGnyZX/JJ/9iSR1p+30U8/dnKAr5tnTYxPyl57UNeCq9yqqLiNgXEcsiopfi/H4qIobJJL+kVhXfeUuafvgExRLRc/78iYjXgVclfTgNDQGnySB71Wp4oWET8BLFvOZX6j35P0XGn1F8u9B/KP6qj1LMSx4GXgb+ACxMx4rinTWvUCy1u7rO2ddR/C/iCeB4apsyyv8R4PmU/yTw1TR+K/AsMAb8AmhK482pP5b231rv86fiuXwcOJBT/pTzhdROlf6NZnT+9ANH0/nzG6Azl+zVNH+U3swsU76IaWaWKRdwM7NMuYCbmWXKBdzMLFMu4GZmmXIBNzPLlAu4mVmm/gfRt/XLPaKhQQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "country. -> xc )onuiuhiV r3yr.77\n",
            "country. -> xc )o)nuiuzhilV r3yr i.77-\n",
            "country. -> xc )koO)nAuiuzhilV tr3yr i.77-        \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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "The inauguration of the statue of Jean Bart, the -> hjinauguratonofth1estatueoaarth\n",
            "The inauguration of the statue of Jean Bart, the -> hejinauguratonoft1h1estatueoaartVh\n",
            "The inauguration of the statue of Jean Bart, the -> hejinauguraton oft1h1e statue oeaartVh\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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "famous sea captain in the time of Louis XIV, took -> 1aousseacaptainjithetuieo,oujtok\n",
            "famous sea captain in the time of Louis XIV, took -> 1aousseacaptainjithetuieo,ouj4took\n",
            "famous sea captain in the time of Louis XIV, took -> 1aous seacaptainjithe tuie o,ouj4Qtook\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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33qK3t5evf/3rvPPOO1itVrZv387AwAAvvvgifr+fjRs30tjYSE9PD1VVVdx3332kpqbGFWAZGRm4XC7+5V/+haVLl0plnZubC0Qn1o8ePUpubi6zZs3iwIEDRCIRSkpKqKqqQlEUfvvb39LS0sKmTZtoaWnhzJkzrFq1ivXr12M2m3G73ezbt4/Ozk7Ky8sZGBjAYrFgNpuBqId06tQpWlpaMJlMLFy4kHnz5qHT6RgZGaGzs5NgMEhycjLFxcWcP3+e/v5+Zs2aRUlJySR+1yo7g8EglVc4HGZoaEiGVEpLS7FarUBUKdXX19PV1UVJSQlZWVmkp6djMBg4e/Ys/f390jCx2WxfyNOBG7wSU/vCGwwG0tPTMZlMlJaWkpeXR3p6OgsWLGBwcJDBwUEZJujt7SUUCmGxWFi7di1r167F4/EwPj6Oz+fD7/czNjZGR0cHubm5FBYWkp2dTUFBAQUFBVy+fJne3l5KS0vx+/1YrVaSk5MZGhqScSeVPjV2nZaWRnZ2Nna7HUVRpAXncDgoKioiKSmJhQsXsnLlSjIzM68KJWjdOp1Oh8VimXRddf+MRiNWqxWTycTMmTMRQmA0GikoKOCWW27BbDbL+woLCzEYDBQVFbFw4UKqq6vR6XQMDAxIBjObzRgMBhnzf+SRR3jooYfIzs5Gr9dTVlYmwxmRSASbzcacOXPo7Oxk4cKFZGdnS6vF5XLJGf3CwkK2bt3Kgw8+SE5OTlxvIxaKouDz+UhLS2PZsmVs2rSJ+++/n87OTsbGxnA4HNx2222kpaWRkpIiwxqXL1/mypUrLFy4kPLy8riWrNFoZMmSJeTl5eFyuZg3bx633347RUVFtLa24na7CQQCNDU1EQwGKS8vp6ysjM7OTgYHB9Hr9dx+++1UVFRQXl7Ogw8+yKxZs8jIyGDWrFmYTCYZRlq9ejU6nY6SkhLmzp3LkiVLuOuuuygoKKCtrY2GhgZuu+02Vq5cyfz586mrq6Ojo2NS2EOdp1i6dCklJSXMmTOHpUuXYjKZaGtr4/XXX6eyspJVq1Zx5513MjAwwMGDBwmFQqxcuVJ6PLm5uTgcDi5fvozX62Xt2rXU1NRQVlaG3W5n/fr1OJ1ODh8+zIwZM1i5ciWffvopdXV1cWPMsRN6jY2N7NmzR4YYi4qKePfdd2lqaqKgoIDly5dTV1fHoUOHWLFiBVlZWbz44os0NDRMsqK1vLF06VIWLVpEf38/u3bt4plnnuHFF18kPT1dhr5effVV9uzZQyQSYXx8nNdff51f/OIXMmNraGiI1157jV//+tdEIhFaW1t59tln6erqIhwOy8n5zMxMcnNzqa+vZ2RkhEAggKIonDp1imeffRaPx8PJkyf513/9VyloOzo6eOaZZ/iLv/gLXn75Zfr7+/mv//ov/vmf/5n6+vqrwlcq9Hq95BNFUWhoaODnP/85H3zwAT/+8Y/ZuXOnnOfo6Ojg1Vdf5cyZM+zcuZOf/OQndHZ20t7ezvPPP09jYyO7d+/mnXfewe12T+L3a71nN1SAa7WzENFZ7lAoJC0xnU4nU9tUZlAUhZSUFOmyZGRk0N3dzZEjRxgaGsJoNEoLcXx8nKysLJKSkqiurubpp59mwYIFUhCNjY1x9uxZOjs7qayslIJIS58QgltuuYXNmzcTCAS4ePGijCFrJxXUuLxKd2z7tPeaTCYyMzMnzbYHg0F8Ph95eXmT6EhKSsJms0mhrcb2Ieq2mUwm8vLy5Ky3GjvWXh8YGOCjjz7i2LFjVFZW4nA4ZNw3HA5LxlOFSnp6OsnJyaxdu5ZvfetbVFZWotfrZSx3//79nDlzhqqqKql0tcylTnipH+05VQHOmTOHlJQUDAYDTqdTxtR1Oh3BYBC/348Qgry8PNra2vjpT3/Kiy++SH5+PjNnzpxUrvoxGAwYjUZSU1MpLCzEYrGQkZFBOByWLva6detYvHgxDQ0NnDp1ivT0dDlnYLFYpKKzWq0yzdFsNhMIBKQrrxoXzc3NhEIhDAYD8+fPl+GN8fFxRkdHOX78ON3d3fh8Pvr7++PGpy0WC0lJSRQVFZGXl4dOp+PMmTP09/dTUlKC1WolMzOT4uJiGhsb5TzHhg0b5AS93W6nvLyc0dFR/H4/lZWV1NTUYDAYsNvtADgcDqkoMjMz6e7ulnH8eMaGoij4/X4OHDiA2+2W1uO8efPw+/00NDSg0+lkZtPs2bOprq5m9erV+Hw+RkZGJN9r3yWIKp3vf//7PPbYY9TU1OB2u/ntb3/L7t27CYVCOBwOcnNz8Xg8WK1W7r//fsrKyhgZGZHjnJGRgdvtZsaMGWzZsoW7776b/v5+OX/x7rvvkpaWxh133EFVVRWzZ8+WYwjQ1NTEwMAAq1at4tZbb+X8+fN0dnYihGDOnDmsWLGC4eFhjEYjWVlZLF26VCrZ2Di62nc2m02mKYbDYfbu3Utvby933303OTk5vPbaawwNDQFRAZ6Xl8c3v/lN7rjjDq5cucL4+DhpaWksXLgQs9nMggULmD9/vrTotXVNhZu6F4oaE/L7/dISHhoaQq/XS9dHteJUV2fXrl2cO3eOmpoaSktLpUCBz9KNhBAkJydTVVWFzWaTL01FRQW33347Dz30EPfff790y2NpunjxIrW1tfj9fmn12u12/H4/4XAYo9FIcnIyNpsNn88nrYTYjlaVlJY29bzL5ZIKJy8vTzKENvY3MjIi+0gtw2QykZSUJAW3KgS1bp2qeM6dO0dtbe0kxWKz2ZgxYwYFBQWS8fr7+ykvL5dWf3p6uizfaDTS0dHB6dOnuXz58qQ2qpN5U82aa9ukCken0yknZ1Xa1fYClJSU8Mgjj5Cfn88nn3zCJ598wujoaNxJHZ1OR0pKigyx6fV6MjIypNeiejNOp5OhoSHS0tKkRaYdE7vdflUqmzbdzm63s2jRIpqamujp6aGkpISMjAwikQiXL1+W95hMJsrLy9myZQvFxcVXCUv1E4lEKCoqknQGg0EsFgspKSno9XrS0tKkZ+HxeNDr9VRVVeHz+Th//jxWq5W7774bj8dDZ2cnOTk5ZGRkyPZmZWWRnZ2NyWTCbDZTXFw8KUwYy6Nqf/r9fjnJryoC9f3p6OggHA4TCATw+/04HA7poaieU2wcWT1ubGzEaDTy6KOP8vd///c89thjFBQU0NzczPDwMHq9HpvNJielrVbrVRPHBoOB1NRUFi5cSHJyMrm5udhsNqxWKx6PhzNnzuBwOORai+LiYjIyMmQCwOzZs5k/fz7j4+O43W50Oh1Op1PWt3nzZrKzs+ns7MTr9eL3+6mpqZHetZZHVYRCoUkpjMFgUHrWWVlZcvxUGXbw4EHeffddDAYD27ZtIycnh/T0dEpLSwmHwxRPJF3Erpe4Fj5XgAshCoUQvxNCNAkhzgohvjdx/odCiB4hRN3E584vVGPM4KpxI5/Ph9fr5eLFi6SlpUk3Xs1AALh8+TKXLl1i6dKlFBUV4fF4MBgM+P1+0tLSyMnJYXh4WL6k3d3dtLS04HA4CIVC9PT0kJSURHp6Oq2trXR2dkpLQf2Ew2GOHDnCwMAA8+bNw2Kx4PP5GB0dpaGhAY/HI10cvV5PS0sL58+fnyTI4LPBVlMWtTHwQCBAY2MjgUCAqqoqmWOtMoGaUnTx4kXJFCpDh0IhvF4v8NkEqZqiB1ELLzc3ly1btlBUVMTevXvp7u6W1/V6PV6vV07ihMNhvF4vJpNJejNaRZiens7mzZvx+Xy88847su5QKERra6vM1ImXJaEqZwCfzyfrVy14dY5AK/iHhoZYsGABf/7nf84jjzyCx+PhwoULcdPn4LPsDLU8t9uNz+eTE7q7d+/GbrezadMmCgoKpHWufrvdbqxWK36/n0uXLqEoigxBqXXpdDoqKipwu92cPHmSYDAoBb6qpAsKCli9ejXbt2/na1/7mhSAsUpNzQ7y+XyS5vz8/EltUSf47Xa7NGRmzpyJ1Wrlgw8+oKOjg/nz5xMKhdi3bx8jIyOTFKHNZiM5OVm69k6nc1Ifqam0sVa4uthMDcOpCiElJUW2QRVaqnBVPbrYjBBVOSuKwsGDB3n//fcxGAwUT8x9bdmyhcHBQcbGxibxoTakmZWVJflRq5SFEDLrS30HAoEADodD3qMdQ4CKigoURWHfvn0MDAzg9/snKe2ZM2cya9YsOjs76e7upru7W3qisQpY5W3VcFP5es2aNdjtdvbu3cuZM2cwGAwEg0EAZs2aRWpqKjt37uSZZ57h/Pnz0vAcHR2V74faZ7F8MxW+iAUeAnYoijIXWA48JYSYO3Htp4qiVE98PncyU8sw2oUDnZ2dNDc309LSgqIobNiwAYfDASBdXtUK9/v9cjAtFgvj4+NcvHgRu93O6tWrGRgY4Pz587S3t3P06FH8fj8zZsygpKSEAwcO0NLSQkNDA3V1dSQnJ09SJvBZ/ndSUhJWq5XBwUFCoRBnz56V2Qdms5mxsTGampqora2VQk1bhs/nY2hoCKfTSTgc5tKlS4yOjjI6OkpdXR379u2juLiYW2+9Vb6kqnWmxvRHR0fxer1Si6s52ePj4wSDQXp7ewkGg/JYpT05OZnCwkK2bduGz+fjzTffZHx8XE5SDQ8PMzg4KMNUgUBAunTaNgQCAVwuFxUVFSxdupRjx45x7NgxabU///zz/PKXv5QZEbFQaR4YGKC/v59IJILT6cTtdk9SaKpQi0QinDt3jj179uBwONi8eTMzZsyQi3u0UGOlgUCA/v5+uZ5AVeBqpkJvby9msxmz2Uxvby86nY7+/n76+vqk5dzX18elS5f49NNPZSqimrGgjktZWRmpqakcOnQIo9EovRNVkKq8Gw6HOXnyJB0dHfLZWKgrjN1uN06nk+TkZGm8qJOp3d3dk7I7UlJSqKyspLGxkaGhITIyMrDb7bS1tWE0GqXVFolEuHLliuQ7IYQMYymKwpUrV3j55ZcnxcTVvjWZTBQUFEhjCpC8pU62qiEnFapC1qZOxrr9iqLw3nvvyT6xWCwUFhbKvlC/1fULHo+H/v5+kpOTJ6WrquspAOkNjI+Py/UWHo9HpiKq19TQ3ODgIB0dHWzcuJGysjKpeIaHhyVNa9asYXR0lNraWjIyMigvL58k5GNDTqr1rSZYHDp0iIsXLzJnzhy5MEzl3cLCQv7mb/6GJ598EofDwYcffkhjYyOATGJQw6VaY/DzQiifm4WiKEov0Dvxe1wI0Ux0Gf3vjdiXULUEcnNz6ejoIBgMsn79ehYsWCCFtJrHbTAYKCkp4Wtf+5p0gTZt2iSthuTkZDZv3kwkEuHgwYMkJSWRn59PRUUFDoeD++67j1/+8pe8/PLLpKSkMHfuXEpKSibFbSHqqq1du1a+COXl5axZs4Zz586RmpqK2WyW4Yb333+fkpISCgsLr5oMam1tZd++fZw/f56srCyam5t56623MJlMXLp0iaKiIjZv3kxxcbG0MmbMmEFGRgaHDx8mMzOToqIizp49y5UrVwiHwzidTlJSUuju7ubSpUs0NDSQn59Pe3s7g4ODBAIBLly4wMjICC0tLaSkpFBcXEx9fT3Hjh1j3bp1jI2NEYlEaGtrkxPA6mRxa2srOTk5cqzUtMHR0VGqqqo4ceIEv/vd71ixYgUul4v29naMRiNtbW0UFRXJcVX7YHh4GI/Hg81mo62tTXo+FotFehKNjY14vV7Onj1LV1cX6enpXLlyhTfffFMKptLS0qvikG63mzfeeIP29nacTicff/wxFRUVMpvgxIkTrF+/nry8PDo6OmhubpY89cEHH3D33XeTnZ1NSUkJhw8fBqCoqIjx8XE6OjoYGRmhrq6OnJwcTCaTzPjo6ekhMzMTiBohS5YsYe7cuXzwwQeYTCa8Xi9dXV0sWbLkqhdPURSSkpKoqqqivb2d9vZ2kpKSmDlzJrNnz+b06dOsWbOG5uZmgsEgq1evllkMJpOJ5cuXy8yVzMxM1q1bx7lz58jPz5fCVc3a8vl8chuHoaEhsrKy8Hq91NbW8tJLL9HR0UFlZaUMxylKNIf61ltvpba2VvJtS0sLACtWrECv18tFd/39/YyOjsqY/6VLlyatLtWG0VJSUrhy5QoHDhwgOzsbIWsJCNYAAA3pSURBVAT19fUyFAWQmpoqwxf9/f04nU7MZrNMOvD7/fh8PpxOp/RQvF4v4+PjWCwWSkpK6OjoYHR0FL1eT19fH16vF7fbjaJE1woUFhZSVlZGQ0MDEFUCarqkEIJly5aRmprK8ePHefzxx2V2WazcUsfV7XYzMjIiQyX79u3jjjvuoKamht7eXux2O2NjY3R1ddHZ2YlOp2Pz5s1UVlby7LPPSoMpHA5jt9uxWq2MjIxgsVjo7u6mp6eH5cuXx93yQsXvlUYohCgGFgEngJXA00KI/wGcImqlj8R5Ru6FUlhYeNUkn+pWbdiwQQ6k1WqVYZO8vDyZq20wGNiyZQsul4ukpCSSk5PZvn27dPUyMzPZunUrly9fRq/Xk52dLSesFi9eTHp6Or29vSQlJVFWViYnR1V6VG23ePFiGZfOzs7mW9/6Ft3d3XI/j9zcXP70T/+Urq4ucnJy5EIi7Qubl5fH3LlzqaiowG63EwgEMJvNWCwWVqxYQXZ2NqmpqXKiUghBRUUFf/Inf0J9fT05OTnMnDlTKiIhBPPnz+fP/uzP5MTuqlWrWLVqFb29vTLLZeXKlXi9Xmw2G2lpaWzZsoWxsTE5UVpYWMhDDz1Eamoqer0ei8XCpk2bpALRTkbedttt0j0vKyvjsccek/nZmZmZzJ07l9ra2knx4thYv7o4QY37z507l5qaGpm653Q6mTdvHgC9vb0sWbKEp556ilOnTjEyMsLWrVspLS2d5MpC1GKaNWsWFotFutgGg4GVK1dKPjKbzWzfvl0ulHr44YepqqoiFApRVlaGwWDgvvvukwuBFi9eTHJyMvfeey8DAwOkp6fLtpjNZjZt2sTw8LB01QEyMzP5zne+w65du2hoaCA9PZ0NGzZQVFQUdyWj0WjkwQcf5OjRozgcDrKzszGbzezYsYPa2lo6Ozvp7Ozkvvvu47bbbpuUgXPLLbewceNGKioqMJvN3HvvvTQ2NpKWlgZE87cPHDiAXq/nypUrtLa20tvbS3Z2NmNjYwwPD2O1WqWgCAQCMlSpYvHixXzzm9/k6NGjjIyM0NzczLZt26ioqEAIgdfrJTs7m6amJkwmEwcPHsThcHDhwgW6u7vlffDZ8vOqqiqWL19Oc3Mz//7v/05aWho9PT184xvfkO/Oxo0bcTqdHDlyBKvVysqVK/nd735He3s7ixYtwuVyYTAYeO+99ygoKOD06dOYzWb6+vrkOD733HPs3LmTefPmkZOTQzgcprW1VS6aGx8f5+zZszJ//e233+bb3/625Kvi4mLWrFnD+Pg4RUVFk3LAY8Ojw8PDXLx4EY/Hw+DgIJmZmej1epKTk+XckMfj4aOPPmL58uV0dnZy/PhxUlNTsdlsZGZmynmozMxMjEYjAwMDuN1uCgoKeOWVV6ivr+cf//EfZe5/PHzh7WSFEHbgIPB/K4rylhAiBxgEFOD/AvIURfnWtcpYvHix8uGHH8pOuHjxIj/4wQ9YsmQJTzzxhMysiOeCaaEyhjZepD6nnViLLUuNMauKQ5uAr41vaScO1We1M/hqvWomher+aMMxqgWrnY0HJtGkjTWrz6r7ZKiLDVQXU40bq25v7Cq92PYDsn3qseoOqnFpVXmoKYXqxKXaPjVLSD2v1q26hR999BGvv/463/72t1m4cOFVDB+JRGQMUN1XQ4Vat9vtlq6vmruu9l0oFJLueew4qvRpV8GZTKZJk8bqc2q8V3V5VbdXbacaM1eVgJq7rxoNal+r7q1Ku3Yex+124/V6MRqNJCUlyeyk2PFXaVdjsGqfqG1WLVyz2SwnCNVyVIWnhla0e6qobbty5QoulwudLroKVq0rEomQmZlJMBjkpZdeoquri7/7u7+TsXqVD9XQ0aVLlxgcHMRoNEojRIjoNhI9PT0yPNDf3y+VaEFBwaS9Y9T+8fv9DAwMMDw8TF9fH3l5eVgsFgoKCiZN5HZ1ddHW1sasWbMwm81cuHCBOXPmkJWVRXd3Nw0NDfj9fqqqqmhtbWVsbIzS0lJqamrw+/18/PHHMsEhKyuL3/zmNyxatIgNGzYQDAbZuXMnJpOJqqoq3nnnHYQQPP7445JmRVHYuXMnLS0t7NixQ06AauWC2k+1tbW88MIL0gBauXIl//3f/01fXx+bNm1Cr9fz85//nPz8fJ588kna2tqora1lYGAAm81GTk4ODzzwACkpKRw/fpyf/exn3HLLLaxZs4a5c+fywx/+kKNHj/JP//RPrF27loyMjE8VRbmFGHwhAS6EMAK7gfcVRfl/4lwvBnYrijL/WuWoAlxRopvONDQ08Pzzz1NeXs5TTz0lLc3YlzXeCwBXb2ak7eipyoh9PrZ8bT3X6I+rJiu1Ax1bjipwp3LFYmmPrSP2Xm3ZseXGoyG2X6ZCvH6Nt7xZiOjqsRdeeIFgMMgTTzwxySpVhclU/aQtRztZqFVqsQo09nfsvEW8tsUKkljaYtseO4baMuOVFQttubG0xks1jb1PW/5U8c/Yfoy9Txuf1mZIqO3yeDw8//zz5OTk8PDDD8dVjuq3NvtpqlRZLbReaCw/q+XF8lgs7WpsWjUsVOMhdpsBVREL8dmOoOrEtKpgvV6v9DIBuXeSwWCQc0IOh4NgMIjL5SIlJYUzZ87gdDpZvXr1pLh+7JipiQ1qmM9qtcqQjhq7V/PM8/Pz5ZyMOq+VkZEhvWCv1ytDiwUFBVgsFurr63n22Wd56qmnWLJkCZmZmXEF+OeGUES0d38JNGuFtxAibyI+DnA/cOYLlCUHtqmpiTfffBO73c7w8LDMk9S6jPFeqlihq71PW0/sd+wz1xIM8erVXo9t01TXtPTG6wf1mVhaYsucSjDFqzOeAognfGL7JJ4iupbA7+vrw+l0cs8998hFOLF1Xav/45WvrTtev02lBK6Fqdo+1X2x51R6YoV+POEeK+SuNU6fV1bsc1O1M5ZH4xk12nacOnUKt9t9lYCKrSMeH8brl9h7VE9O7YN4z8VTFup5rcejTmCq17WyQc2wUdusCnbtpGPs9tPa6yrPKorChx9+yM6dO/nOd76Dx+OhpqZmyrRLFWazmaysrEl9oSY+qO1Ts4tUBWgymSatslTbabVaqaqqmtQWdZJc69HEw+da4EKIVcBhoBFQ83L+D2A7UE00hNIJfFsj0Kcqaxw4d80Kv9rIJBo2mq5I0H9zMZ3pn860w/Snv0iJsx/4l/5LtS8DIcSpeG7AdEGC/puLBP03D9OZdpj+9E+FxL/SJ5BAAglMUyQEeAIJJJDANMWNFuD/cYPr+0MjQf/NRYL+m4fpTDtMf/rj4obGwBNIIIEEEvjDIRFCSSCBBBKYpkgI8AQSSCCBaYobJsCFEJuFEOeEEBeEEH91o+r9fSCE+JUQol8IcUZzLl0IsU8IcX7iO23ivBBC/L8T7WkQQiy+eZRfc9vf6UK/RQhxUghRP0H//zlxvkQIcWKCzteFEKaJ8+aJ4wsT14tvJv0qhBB6IcRpIcTuieNpQ78QolMI0Sii20Ofmjg3XfjHIYR4UwjRIoRoFkKsmC60Xw9uiAAXQuiB54CvAXOB7eKzLWm/SngR2Bxz7q+ADxVFKQc+nDiGaFvKJz5PAL+4QTROham2/Z0u9PuBdYqiLCS6QGyzEGI58AzRbYtnASPAYxP3PwaMTJz/6cR9XwV8D2jWHE83+m9XottDqznT04V/fga8pyjKbGAh0TGYLrR/eWiXvP7v+gAriO6joh7/NfDXN6LuL0FrMXBGc3yO6EZdAHnAuYnf/w5sj3ffV+ED7AI2Tkf6gSSgFlhGdPWcIZaPgPeBFRO/DRP3iZtMdwFRQbGO6N5BYprR3wlkxpz7yvMPkAp0xPbfdKD9ej83KoQyA7ikOe7mS+4pfhOQo3y2RUAfkDPx+yvbJjF5299pQ/9E+KEO6Af2AW3AqKIo6r8/aGmU9E9cdwIZN5biq/As8L/4bMuJDKYX/QrwgRDiUxHdBhqmB/+UAAPAf02Er14QQtiYHrRfFxKTmL8HlKi6/krnXYrotr87gf+pKMqY9tpXnX5FUcKKolQTtWSXArNvMklfGEKILUC/oiif3mxargOrFEVZTDTE8JQQ4jbtxa8w/xiAxcAvFEVZBLj5LFwCfKVpvy7cKAHeAxRqjgsmzk0HXBFC5EF0B0ai1iF8Bdskotv+7gReVRTlrYnT04Z+FYqijAK/IxpycAgh1C3mtDRK+ieupwJDN5hULVYC9wghOoHXiIZRfsb0oR9FUXomvvuBt4kq0enAP91At6IoJyaO3yQq0KcD7deFGyXAPwHKJ2bkTcDDwDs3qO7rxTvAoxO/HyUaW1bP/4+JGe3lgFP5nN0Y/3dCiPjb/jJ96M8SQjgmfluJxu+biQrybRO3xdKvtmsbcGDCyropUBTlrxVFKVAUpZgofx9QFOURpgn9QgibECJZ/Q3cQXSL6K88/yiK0gdcEkJUTpxaDzQxDWi/btzAiYY7gVaicc2/udnB/ylo/G+i//8ZJKrVHyMal/wQOA/sB9In7hVEM2vaiG61e8tNpn0VURexAaib+Nw5jehfAJyeoP8M8PcT50uBk8AF4A3APHHeMnF8YeJ66c3mH01b1hL9g5NpQ/8EnfUTn7PqOzqN+Kea6F87NgD/H5A2XWi/nk9iKX0CCSSQwDRFYhIzgQQSSGCaIiHAE0gggQSmKRICPIEEEkhgmiIhwBNIIIEEpikSAjyBBBJIYJoiIcATSCCBBKYpEgI8gQQSSGCa4v8HXWFrOhDI0kgAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "place at Dunkirk, his native town, on Sunday last, -> p1aceatunkirkisativetonnundaast\n",
            "place at Dunkirk, his native town, on Sunday last, -> p1aceatunkirkhisnativetononSundaast\n",
            "place at Dunkirk, his native town, on Sunday last, -> p1ace atunkirkhisnative tononSundaJast\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"
          }
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "with great ceremony and splendour. The statue, -> greacrezo,nyandspendouhesttue\n",
            "with great ceremony and splendour. The statue, -> itgreacerezo,nyandsp1endourhesttue\n",
            "with great ceremony and splendour. The statue, -> it greacerezo,ny and sp1endourhe sttue\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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sFssi91PrYqtz5OTJk9jtdnbu3MmuXbtYsWIFr7zyCuPj46xfv57KykrMZjO7d+9m48aN0uoKb0tRFC5dukR1dTWVlZUUFhYihKCmpobx8XFaWlpobm5m7969VFZWUlRUxNGjR+nr60NRFDweDy6XC4/HA0Brays1NTWsX7+ejRs3sn//fqkQVet+69at7Nmzh/Xr13Pjxg1cLhc3btzA7/ezfft2tm7dis/nY2pqCqfTydGjR/F6vRw4cACfz8dHH32E2+0GkB5VIBBYMNe0iqqrq4v6+noOHTrEgw8+SG1tLZ2dncTHx1NVVcX09DR2u51QKCQFWmlpKRMTEzQ0NBAbG0soFKK6uprW1la+8IUvsH37dt577z2pcFVawr00laZNmzaxZcsWurq65LPeffddGhoaMJlMuN1uGhsbGR8fX+StwpxX+ZOf/AS73U5paSknTpzg5MmT0sJ+6623ePHFF3nllVd48cUXOXv2LP39/bzwwgskJSVRVlbGr371K2pra1EUhebmZn7yk58wPj6O1+vlpz/9Ke3t7TidTpqamujt7eXs2bM4HA6Z63jppZcAqK2t5YUXXpDy7tixY/zHf/wHvb29tLW10dXVhdPpXBB2i4S7XrKgMtZgMLBp0yaMRiNOp1Na3kajkcnJSYQQpKWlERMTI+OEGRkZlJSUYLPZSExMJBQK4fF4UBQFq9WKzWbDYrHg9/s5f/48er2eoqIisrOzyc/PJy0tTVYUWK1WNmzYQH5+PkVFRfj9fiYnJxfF3VQL0mazERsbK88ZjUZOnDjBW2+9BcCOHTsixjC1rqHX6+Xs2bNMTk5SXFyM2Wxm9erVGI1GamtrJQ8sFguxsbHS+7iZQlAVTnx8PCkpKVKA1NfXMzU1RXp6Ojk5OZjNZnbu3Mm6desoKSmhubmZsbExSkpKiI+Pp6KiAr1ez8WLF3E6neTm5pKYmEhRURFbtmyhoqICRVEYGBggGAxiMBjYsWMH2dnZtLa2kp2dLRPCtbW1uN1uSktLiYuLIzU1latXr9Lf3x9xTqjWRlxcHOnp6eh0Onp6emTsNzU1lbi4OFavXs2aNWtYtWqVrNxQQzVxcXGYTCYsFgtFRUUyJq7yKdzqdzqdtLW1kZ2dLas/iouLGR4epru7G4vFQnJyMmazmeTk5AWVR+EIBoNcuHCBYDBIUVERcXFxbNiwgaqqKiwWC52dnZhMJlJSUjCZTKxatYrp6WlaWloIhUJy/qvu+oULFwiFQpSWlmI0GiksLCQYDHL27FkCgYBUyPX19bhcLkpLSzGZTNIb+c///E96enrYv38/WVlZ6HQ6UlNTZWiqqKiIkZERnE6n5IvNZpN9jGSETE5OMjExwdjYGBaLhd27d5OcnExMTAzx8fELQhZms5n9+/cTHx+Px+Nhy5YtPPDAA7jdbmpqasjPz6ewsJDNmzdjNBq5dOkSPp8v4lhp53hqaiplZWULjKXBwUE++ugjGhsb2bNnDw8//PAiL1ptp6amhu7ubnbs2MH9999PWVkZjY2NeL1eNm3aRE5ODmNjY2zfvp309HTy8vJoa2vD6XSye/dudu/eTVxcHHV1dbjdbn73u99hs9n44he/SFlZGXa7nd7eXkwmE5mZmezevZsDBw6QmJiI3W7nxRdfJDs7mwMHDrB7926ampoYGBhgYmKCt99+m3Xr1nHw4EFKSkoQQshQzc0qy/7Lq1CWghCCwsJCcnJyGBoaYnx8nIceeoif//zn0r2Jj4+XxOv1esxms4zBqhNNXaR6vV5ayMFgkNHRUfx+P3q9noyMDJ5++mkSEhKkBa0uTDVhqo0xh8eZVfj9fhnb2759O+fOnePIkSNcunSJbdu2yWRFeDvqMVXYWCwWmbg1m83ExMQwMTEhY2Oqggt3Z7WupbrvdDqZmprC4/HI681mM/39/UxNTZGamorH40Gv11NYWMg3vvEN4uLi+OUvf0lsbCypqanodDqSkpLIy8vDbrfjdrslXxITE6VyVJO1QgjKysooKCjg/fffZ2pqiscff5wVK1YQCoUYHBzE4/Fw5coVXC4XLpeLtLQ0aRFrEzk6nY6tW7fidrs5f/48JpMJp9OJx+MhGAzKCZyWlkZBQQEGgwGr1SqTlG63m9HRUXJycgBk/71eL36//6bJRrfbTXp6uvRy1DJMl8sFzAlmlY6lhLca4x0aGsJsNhMbG4vJZOILX/gCgUAAi8XC5OQkRqNRxjNjY2PR6/U4HA4Z6lGTiIFAgP7+fgwGg4zB6vV6DAYDs7OzMg7b1tYm8zebNm0iJiaGsrIyKisruXLlCrW1tezcuZOtW7diMpnYu3cvp06d4ve//z0tLS24XK4FFrjJZLpp+W1+fj7x8fH87Gc/Iz4+nrKyMr785S/LMdR6nytXriQtLY1XXnmFmZkZvva1r5GcnMy1a9doamrCYDBw/PhxYC4O7HA45NyPFAPX7vv9foLBoLRKd+zYwT/90z/xD//wD6SmpkqBqW1LUebKSy9dusT09DTd3d0MDAwwMDCAxWKRhQiqobZ7925SU1NZv349J0+exOfz8eGHHzI7Oyst5pGRES5evMi+fftITEwkPz+fXbt2SQ/a4XCQm5sr4/FqFdvWrVupra2VOTC1DHhsbIyKigpZYGEwGGQS/ma46wJcK4CSkpLIz8+nsbGR3NxcPv/5z5Obm0tnZyd2u52MjIxFwlQbUtAKcjVWrSY2YK4kz+v1YjAYWLFihRT2TqcTnU4nkzhq5YsqgCMlcUKhENPT07jdboLBIF6vl6997WvU19fT2NjIiRMnWLduHampqUsmMVX6XC6XvEYVUKoCURMsDodD9lv7N7xNo9EoXXtthYNa1aN1wdQEYTAYlIpD5aGqTNRKDrWyRVU0qpBRrYK8vDza29u5dOkSlZWVbN68mZaWFkpKSggGgyQlJbFlyxbJU7WGOlwhBYNBrl69ysWLF9m9ezc5OTmywkhNuKnXqUpN7ZvX68VisUgXWO2nKgxUZRtJARqNRim81fEOBALExsbK0kNVYWnLviLNZ/WvtvpItbpCoRCJiYmMj48vuD4UCi1QiGrVleohqkpMvd5gMJCUlIReryc2Npa/+Iu/YO3atdTW1tLW1sb09DRWq5XPfe5zbNmyhQsXLlBXV8fWrVspKSnh6NGjeDwePvvZz2K322lpacHr9RIKhQgEAoyNjUnvSltNpT7fZrPxxBNPcOrUKZmfKSgooLS0VM5d1Quoqqri3XffpbW1lUceeYTs7GyamprkXFy1apVUOgUFBSQmJmIymSLmjsL39Xq9NNaEEKxYsYJnn32Wjz76SIbENm/eLK1YbRvBYJC4uDjWrFmDzWaTRQtGo1Eqe71eT0JCAvv27SMUCnH9+nWSk5MpLS2VSf2Kigq5RlTvo6ioiG9+85tYrVYZovX5fJI3MzMz6PV64uPjMRqNFBQU8Pjjj1NUVMTp06dlFZ3abmZmJn6//6Y5HLiNEIoQIk8I8aEQokUI0SyE+O/zxw8LIQaEEFfmfwdu1VY49Ho9xcXFUtPExcWRmZnJ7OysFHKqlR0IBPB6vfh8PkKhkLReVNdNTUyqAjs9PR2Xy8XU1BTBYJD+/n6ampoIBAKSseqiUSeqNrOshaIo0s1Vn1FTU0NcXBxf+cpXeOKJJ7DZbAwPD980XmU2m1m3bh2AXNx2ux2Xy0VOTo60AuDjEjytFRHetip4Y2JiGB0dlRbp0NCQtFTVtlT6VWGRm5uL2+1menoaRVFwuVz4fD42btwoPRWz2Yzf7wfmvA+fz8fMzIwMB9XW1pKZmcnDDz+M0+nk+PHjTE9Pywoav99Pfn4+2dnZ9PX1MTAwsEg5er1eLl26RHx8PNu3b5delM/n4/Lly3g8Hkwmk+SNoijYbDZZVqrmIW7cuMHY2BgzMzO43e4Ftf3hLrmiKJhMJnJzc+nv75cW4I0bN0hKSiItLU2OuVqREC4MtNahxWKhpKSE6elpBgYG5Dh8+OGHTExMsGbNGgKBAB6Ph1AoxNjYGPn5+ZSXlyOEkItdfc7atWtxuVzyhY6hoSEcDgerVq1Cr9czNDSEEILt27fz6KOPyvxRTU0NJ0+eZOPGjTzzzDMkJyfT29vL2NgYdXV1bNy4kXXr1hEXFyfDYcPDw7KCYnp6Who5sPB9iIsXL9Lc3My3vvUt/v7v/568vDxqa2vxer0L8lRCCAYGBvjwww/ZvXs3n/nMZ7h+/TqnTp3CarUSGxsr53tBQQH5+flyXnd2dtLQ0CA9oHBrXJ0vQsxV7SiKwnvvvUdhYSHf/va3eeyxx5iYmFgUqlPHKiEhAYfDgcPhoLCwkKqqKtLT0+Xa8vl8cu6r89DhcDA8PExOTg579uzh4MGDMpmt1+ulV6nOT7vdLp9lNBoJBoP4/X5iY2Nlonjbtm3s3buXT3/607L00mg0ymIF1aO7HdxODDwA/A9FUcqArcBfCyHK5s/9s6IolfO/o7f1RBZaLRs2bKCgoIA1a9ZgNpspKyujuLiYjIwMYG4Q29rauHz5Mm63m5aWFnp6emhpaUFR5l5k8fl8jI6Oyqyvx+OhqmrupdDq6mouX75MdXU14+PjsoTJ6/XS1dXF4OAgvb29OJ1Orl69KhWDduGPjo7S3t4OzJUUqhbyyZMn6evrk4IkMzMzYj9V6PV6du7cidls5vz58wwODtLQ0EBmZiY7duwgFArR3t6O3+/H6XRKF1eLcAWjTo6RkRH6+/tpbW1lZmaGtWvXkpyczOTkJGNjYzgcDgYGBvD5fAghqKiokPHrmZkZ2tvbMZvNbNy4EaPRSHd3N4ODg1y/fl0mCxMSEuTC6e7upq6ujvvvvx+z2czp06cZGhoiJiaGyspKfD4fH3zwAX19fZw7d46Wlhbp8WiVEswpNo/Hw8zMjLRUL1++LBWi6rr29vYyNTVFf38/gUCAoaEhjEYjX/ziF0lJSeEPf/gDx44dw2QykZ2djd1uXxS2UWEwGNi5cyc6nY7m5mauXLnC1atXOXDgAAkJCfT09NDV1UUgEKChoQGn0ynHNDwxCrB//35WrFjB8ePHOXPmDMeOHWN2dpaEhARWrlyJ2WymoaEBu93OyMgIe/fupaCgAJfLRUNDAzMzM1y6dAmXy8W2bdvIzc3l8uXLDA4Ocv78edatW8fmzZsJhUIcPXqUX/ziF5w9e5a6ujppkY6MjHDixAlZ5WEwGMjLy8NisUjB39raSk9PD7Ozs7z//vtMT0/T39/PzMwMIyMj1NfXR3TdZ2ZmqK6uprGxkZSUFDIzM0lISJDjoIYVHA4Hb775pgwJTE1NUV1dLcNVamXU2bNnuX79Or/73e9oaGhgamqK5557jh/+8IecO3cuotfjcrloa2sjEAjQ3NzMxMQEN27c4O2330ZRFNavX09aWhoJCQmLQqF6vZ7NmzcD8N5778myzldffRWn0ylLE41Go4zHGwwGVq5cyfXr1/nggw9wOp2y7NRsNmMwGOju7sbr9eJ2uzl9+rSk3el00tzcTEdHB42NjSQlJWGz2bh48aI0lk6fPk1fXx8pKSnMzs7KtT8+Pk5vby9w83cgAHSHDx++6QWHDx+ePXz48ND8tu+HP/zhg0AbkA/4Dh8+fPamDWjw/PPPH37yySclU4UQ2Gw2UlJSKCkpISEhgczMTPLz88nJyZHhAafTicPhkJNRrSnOysoiKytL1ir7/X5ycnLIz89nxYoVWCwWuru7GRkZoaioiM2bN2M2m5mZmcHhcOD3+zEYDIyPj2M0GvF6vZSWlsqXBFQLZHBwkM7OTlauXElWVhYlJSVy0Vy5coXh4WHWrl0rQwbhLru6DZCYmIjNZqOpqYnu7m6CwSB79+5l9erVBAIBzpw5I0smCwsLF8T8l2rXarVSUlJCZ2cnV65cITMzk0ceeYTU1FRaW1upr6/HbDYzOztLUVERNpsNm81GZmYmIyMjjI+PMzo6yqZNm2RSdXZ2FrvdjsViIScnh2AwSEJCAmVlZaSnp9Pf34/T6cRkMtHW1kZ7ezu5ublUVVWRnZ1NKBSisbGRnp4eWltb2bx5s7QUtRasTqcjISGBwcFBnE4n5eXl8vnbt28nLy+PQCBAUlISOTk5mEwmppnbjd4AAAxbSURBVKenZSlbfn4+ycnJ8r7MzEyqqqqoqKigsLBQvqQSiW8pKSmUlpZKi6egoIBt27ZhNptpbm6mv7+fsrIykpKSKCoqknXaKrTtJSUlUVJSgtPpxG63YzQaeeCBB0hNTcVqtZKbmyvDUunp6ZSVlWGxWGS+JiUlRa6DlJQUVq5cKV9cs1gs7Nu3T74ToYaLmpqa6Ovrk8rD5/ORkZHB2NgYra2trFu3jp07d2Kz2YC5Uk+1asTlcpGdnU1VVRVNTU34/X6ZSC0rK5PWoIqpqSlaWlro6uqSib+DBw+i0+n4zW9+g9vtJhQKUVxczO9//3v0ej0ej4fTp0/T09Mjq84SExM5c+YMdXV1tLe3EwgEePDBBwmFQrz88ssMDQ2RmJjI5s2bF30GYWBggCNHjgAwPT3NunXrsFqtsnKjpaWF8vJy9uzZsyAfpSItLY2enh7Onz+P3W6ns7OTsrIy1qxZw4kTJ6iursbr9cpSvtjYWNLT07l69SpNTU1MTExQX1/Phg0byMjIIBgM0tPTg9fr5fLly1y8eJHt27eTkZHB5cuXaW9vZ2ZmhpKSEgoLCxkZGeHUqVP4/X7q6+vp6uriU5/6FCkpKbS0tNDY2CiTpA0NDfh8PlJSUlixYgXPPffc0OHDh58Pl6l/1NcIhRAFQA1QDnwH+BowA1xmzkq3R7hHfgslPz9/49WrV2XIQlvSBcjwgfYtMzUWpyaTFEXBbDbL2J0aw1LLsQD5ZptqmQeDQVlJEBMTI8urQqEQNptNhme8Xi8pKSmLXizw+/3MzMxIGtWXblRtqZYaqgmI8OSLGjZQ++vz+RgbG2N8fJzk5GQyMjJkHyYmJnC5XHi9XmlNhCfhtG2p8V8h5urm1dyBKvidTqd0KU0mE1lZWVLJBAIBZmdnmZ6exmQySbdPrYaYnp7G5/PJOLgaHzUYDHi9XmlJBINBXC6XrBRSK4v6+/uZnp7GbDZTWFi4gK9aBINBGepKSEiQbScmJmI0GqV7q8a/1TCamrBU+aHOG62QDn9BRA2TqfdoX+xQXWeYC8mpCiomJkbWSIfHhsP7oZYvqjmW8JCYCm3+Rg0Nau9R57c22auG/NQQzezsLF6vl4yMDPmyjs/nk4njpKQkuRbUUkWLxYLRaGRqagohBImJibhcLoLBIG63G7PZTGJi4qK3SFUPyOPxMD4+TkpKCqtXryYUCnHt2jWZpM3JyUFd4/Hx8UxPT+N0Olm7di25ubn4/X7q6uoYGBggPT2dgoICsrKyCAQCvPHGG1RXV5Oens73v/99+TKXym+v10tPTw8ej4dAIEBxcbFUFH19fUxMTFBeXr7ghTxtzkFRFDo7O6mpqcFoNFJRUSHbOHHiBNeuXUMIQXx8PJ/73OdITk4mFArR1tZGU1OTfAHqvvvuw2AwMD09zblz57h06RJer5dt27axb98+TCYTnZ2dtLe3k56ezrp16zCbzQwPD/PGG2/Q399PWloaDz74IGvXrkUIQWtrK6+88grBYJANGzbQ1tZGR0cHmzdv5tlnnyUvL69WUZRNi+Tr7QpwIUQcUA38SFGUN4UQGcA4oAD/E8hSFOWpm7WxadMm5YMPPljggmqTkNokU6QyIO096rb2Pu112nbUxFJ4e5HuDY9vap+rCgh1codXVCx1b/h+eHuRXk9XtyO9UajtH3yctFMnqfaNx0g0anmhJpa07WuFnnpOfV74GIXzUk2Mqu1qE6jhvNHyJ5KrqOVnOO+0dC3F40i0RhK8antavqhWrmrJqf0KbyvStjanEgm30+9IIQRtf7QKQVtqFv6JhkjP1q6hm/Et/Lh2nmnXgdYgi9Sn8DkZCoUWzH2Vr8PDw/zrv/4rOTk5PP3004s+Gqb2Wzv24W2GzzMV6j2qYoSFc1JV4moftMpXNdbUPmvXv9/vl3NF+3aoWikTLi/U0KjRaJRxcfV6NQdhs9lwu93yA2Opqamkp6dHFOC3VYUihDAAbwC/UhTlzXliRjTnfw68czttRUoqzbex5GSFxZZTpIUdSciFtxm+HWkyh7ehItylC0963kr5hLerJiDDF2uk14rD24gkcJf66FO4oAsXuNpnhPNCez4S/8KFmPZ5av/CaV+KH1rhtBS9WjpvRoNWuYQj0pzTCgTVq/H5fNJb0SrC8JeRIvUl0jyIdF7dV+eAlt/hVVbhYxJpvkcaL+26UV/WCfcmbrU24GNjQvshOS3vIhlAajvaeaAm/LTfeBkYGOC1117D6XSyb9++RZ8s0LYf6WNfaoWUdkzCeam9Llx2mEwm+dZj+P2RnqnliVpBozUAwmWFCrXeXss3ddxSUlLkcYvFQmJi4iLDMxy3FOBi7u7/C7QqivJjzfEsRVHUVOkXgKZbtaUSF764ImnMcAZHEpTh++HX36rNW7VzM8apzwgXLEst2qUE0M0E8+08OxLCF1Q4TeHC51bCSPu8SJ5MeNvhVuDNxmcp4R+JjqXGZikFoVWMS42LivCPQqm1xOF8XIrnWjrVdiKNuZa+cB6E0x/p71JewM3Wi3ZfK1jC6dAe1yqz8DUbrtAiKdLb4Y8W7733HpcuXeLpp5+msLBQzjOTySTDelEsxi1DKEKIHcApoBFQV+b3gceASuZCKD3AsxqBvlRbDqD9zki+p0hlLmy0XBGl/95iOdO/nGmH5U//CiXC98D/5H+p9qdACHFZiRDHWS6I0n9vEaX/3mE50w7Ln/6lEPVLoogiiiiWKaICPIoooohimeJuC/BFhejLDFH67y2i9N87LGfaYfnTHxF3NQYeRRRRRBHFnw/REEoUUUQRxTJFVIBHEUUUUSxT3DUBLoT4jBCiXQhxTQjxd3fruX8MhBC/EEKMCiGaNMeShRDvCyE65/8mzR8XQoj/M9+fBiHEhntHOYilP/u7XOg3CyEuCiGuztP/w/njhUKIC/N0/kYIYZw/bprfvzZ/vuBe0q9CCKETQtQLId6Z31829AsheoQQjWLu89CX548tl/mTKIR4XQjRJoRoFUJsWy603wnuigAXQuiAnwKfBcqAx8THn6T9JOGXwGfCjv0dcEJRlBLgxPw+zPWlZP73deDf7xKNS2Gpz/4uF/q9wB5FUSqYe0HsM0KIrcD/Yu6zxcWAHfjL+ev/ErDPH//n+es+CfjvQKtmf7nR/yll7vPQas30cpk//wIcUxRlNVDB3BgsF9r/dGhfif2v+gHbgOOa/e8B37sbz/4TaC0AmjT77cx9qAsgC2if3/4Z8Fik6z4JP+D3wL7lSD8QC9QBVcy9PacPn0fAcWDb/LZ+/jpxj+nOZU5Q7GHu20BimdHfA6SGHfvEzx8gAbgezr/lQPud/u5WCCUH6NPs988fWw7IUD7+RMAwkDG//Ynt07w7fh9wgWVE/3z44QowCrwPdAFTiqKo/yZGS6Okf/78NJBydylehP8NfJePPzmRwvKiXwH+IISoFXOfgYblMX8KgTHg/82Hr14QQlhZHrTfEaJJzD8Cypy6/kTXXYq5z/6+AXxbUZQZ7blPOv2KogQVRalkzpLdAqy+xyTdNoQQDwGjiqLU3mta7gA7FEXZwFyI4a+FEA9oT36C548e2AD8u6Io9wFOPg6XAJ9o2u8Id0uADwB5mv3c+WPLASNCiCyY+wIjc9YhfAL7JCJ89pdlRL8KRVGmgA+ZCzkkCiHUT+hpaZT0z59PACbuMqlabAc+L4ToAV5lLozyLywf+lEUZWD+7yjwFnNKdDnMn36gX1GUC/P7rzMn0JcD7XeEuyXALwEl8xl5I/AocOQuPftOcQR4cn77SeZiy+rxr85ntLcC08otvsb4XwkhIn/2l+VDf5oQInF+28Jc/L6VOUH+pfnLwulX+/Ul4OS8lXVPoCjK9xRFyVUUpYC5+X1SUZT/xjKhXwhhFULY1G1gP3OfiP7Ezx9FUYaBPiHEqvlDe4EWlgHtd4y7mGg4AHQwF9f8wb0O/i9B46+BIcDPnFb/S+bikieATuADIHn+WsFcZU0Xc5/a3XSPad/BnIvYAFyZ/x1YRvSvB+rn6W8C/n7+eBFwEbgGvAaY5o+b5/evzZ8vutfzR9OX3cA7y4n+eTqvzv+a1TW6jOZPJXP/2rEB+B2QtFxov5Nf9FX6KKKIIoplimgSM4oooohimSIqwKOIIooolimiAjyKKKKIYpkiKsCjiCKKKJYpogI8iiiiiGKZIirAo4giiiiWKaICPIoooohimeL/AyRrrdKog1psAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "which is of bronze and of colossal size, is erected -> icjsobrnzeandoco1ossaize jiserecte\n",
            "which is of bronze and of colossal size, is erected -> icjsobronzeandoco1ossaTize jiserecte\n",
            "which is of bronze and of colossal size, is erected -> icjsobronze andoco1ossaTize jis erecte\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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "in the great square of the town. -> 1thgratsquaro5fthto.\n",
            "in the great square of the town. -> 1mthegrvatsquareo55fthiiketoni.\n",
            "in the great square of the town. -> 1lm the grvat square o55Ifthiike toni.\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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "By the arrival of a vessel at Falmouth from -> yt1earrivaofavesspA1ww5\n",
            "By the arrival of a vessel at Falmouth from -> yth1earrivaiofavessc1apA1ow,zw5\n",
            "By the arrival of a vessel at Falmouth from -> yth1e arrivai of avessc1ai pA1o,w,zw 5\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"
          }
        },
        {
          "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"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Buenos Ayres, with papers from the River Plate -> 5uenosyres,ithpaperst1h,cvrIa1\n",
            "Buenos Ayres, with papers from the River Plate -> 5uenosyres,ithpapers0t1h,cverIa1\n",
            "Buenos Ayres, with papers from the River Plate -> 5uenosyres, ith papers 0 t1h,c ver4Ia1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "es8wh2mK_sRl",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "861290ed-2288-489a-83d5-979dbad79942"
      },
      "source": [
        "PCR = 0\n",
        "for i in range(len(dist_list)):\n",
        "  PCR += min(dist_list[i], len_list[i])\n",
        "PCR /= sum(len_list)\n",
        "PCR = (1 - PCR) * 100\n",
        "\n",
        "print(PCR) #test-data\n",
        "print(np.mean(dist_list))\n",
        "print(np.sum([dist_list[i] * len_list[i] for i in range(len(dist_list))])/ np.sum(len_list))\n",
        "\n",
        "PCR = 0\n",
        "for i in range(len(dist_list2)):\n",
        "  PCR += min(dist_list2[i], len_list2[i])\n",
        "PCR /= sum(len_list2)\n",
        "PCR = (1 - PCR) * 100\n",
        "\n",
        "print(\"keep prob 0.5\")\n",
        "print(PCR) #test-data\n",
        "print(np.mean(dist_list2))\n",
        "print(np.sum([dist_list2[i] * len_list2[i] for i in range(len(dist_list2))])/ np.sum(len_list2))\n",
        "\n",
        "PCR = 0\n",
        "for i in range(len(dist_list3)):\n",
        "  PCR += min(dist_list3[i], len_list3[i])\n",
        "PCR /= sum(len_list3)\n",
        "PCR = (1 - PCR) * 100\n",
        "print(\"keep prob 0.75\")\n",
        "print(PCR) #test-data\n",
        "print(np.mean(dist_list3))\n",
        "print(np.sum([dist_list3[i] * len_list3[i] for i in range(len(dist_list3))])/ np.sum(len_list3))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "21.83908045977011\n",
            "37.083333333333336\n",
            "38.95755968169761\n",
            "keep prob 0.5\n",
            "23.43059239610964\n",
            "36.583333333333336\n",
            "38.243147656940764\n",
            "keep prob 0.75\n",
            "36.162687886825815\n",
            "31.041666666666668\n",
            "31.93103448275862\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qRKONCQyVNwi"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}