diff --git "a/1260_252_1434.ipynb" "b/1260_252_1434.ipynb"
new file mode 100644--- /dev/null
+++ "b/1260_252_1434.ipynb"
@@ -0,0 +1,1318 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "6zTMol2V8tYF",
+        "outputId": "223c3301-8a11-4b83-c34e-63a602f6b741"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Libraries imported and configurations set.\n"
+          ]
+        }
+      ],
+      "source": [
+        "import warnings\n",
+        "warnings.filterwarnings('ignore')\n",
+        "\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib\n",
+        "matplotlib.use('Agg')\n",
+        "import matplotlib.pyplot as plt\n",
+        "plt.switch_backend('Agg')\n",
+        "\n",
+        "\n",
+        "import seaborn as sns\n",
+        "\n",
+        "from sklearn.model_selection import train_test_split\n",
+        "from sklearn.preprocessing import OneHotEncoder\n",
+        "from sklearn.compose import ColumnTransformer\n",
+        "from sklearn.pipeline import Pipeline\n",
+        "from sklearn.linear_model import LogisticRegression\n",
+        "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+        "\n",
+        "%matplotlib inline\n",
+        "\n",
+        "sns.set(style='whitegrid')\n",
+        "print('Libraries imported and configurations set.')"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "\n",
+        "file_path = '/content/fictional_characters.xlsx'\n",
+        "try:\n",
+        "  df = pd.read_excel(file_path)\n",
+        "  print('Data loaded successfully. Number of rows:', df.shape[0])\n",
+        "except Exception as e:\n",
+        "  print('Error loading data:', e)\n",
+        "\n",
+        "df.info()\n",
+        "df.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "Bf_OiytY9gn2",
+        "outputId": "f745b2d6-10fd-4e58-b7c7-ad8d37027565"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Data loaded successfully. Number of rows: 1500\n",
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 1500 entries, 0 to 1499\n",
+            "Data columns (total 15 columns):\n",
+            " #   Column                     Non-Null Count  Dtype \n",
+            "---  ------                     --------------  ----- \n",
+            " 0   Character Name             1500 non-null   object\n",
+            " 1   Media Type                 1500 non-null   object\n",
+            " 2   Media Source               1500 non-null   object\n",
+            " 3   Genre                      1500 non-null   object\n",
+            " 4   Role                       1500 non-null   object\n",
+            " 5   Personality Traits         1500 non-null   object\n",
+            " 6   Backstory                  1500 non-null   object\n",
+            " 7   Skills/Abilities           1500 non-null   object\n",
+            " 8   Appearance Description     1500 non-null   object\n",
+            " 9   Alignment                  1500 non-null   object\n",
+            " 10  Interests/Hobbies          1500 non-null   object\n",
+            " 11  Relationships              1500 non-null   object\n",
+            " 12  Significance/Impact        1500 non-null   object\n",
+            " 13  Description                1500 non-null   object\n",
+            " 14  Scenario/Dialogue Example  1500 non-null   object\n",
+            "dtypes: object(15)\n",
+            "memory usage: 175.9+ KB\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    Character Name  Media Type                               Media Source  \\\n",
+              "0   Jeffrey Powell       Novel          Adaptive intermediate flexibility   \n",
+              "1  Amanda Williams    Webcomic     Stand-alone fault-tolerant flexibility   \n",
+              "2       Ryan Terry       Novel  Pre-emptive attitude-oriented methodology   \n",
+              "3      Diana Huang       Novel    Innovative clear-thinking knowledgebase   \n",
+              "4   Olivia Collier  Video Game        Profound homogeneous data-warehouse   \n",
+              "\n",
+              "      Genre         Role           Personality Traits  \\\n",
+              "0  Thriller   Antagonist     candidate, hundred, case   \n",
+              "1   Fantasy   Antagonist      through, new, community   \n",
+              "2   Mystery         Hero      defense, medical, phone   \n",
+              "3   Romance   Antagonist       morning, check, strong   \n",
+              "4   Fantasy  Protagonist  appear, family, environment   \n",
+              "\n",
+              "                                           Backstory         Skills/Abilities  \\\n",
+              "0  Body now hope likely cup under world could total.  option, try, difference   \n",
+              "1  Perhaps sometimes give evidence many fact each...    year, service, debate   \n",
+              "2  North get on listen avoid better whom recent m...       floor, threat, bad   \n",
+              "3  Environment activity brother ten gun provide r...  stay, attorney, reality   \n",
+              "4  Event make finally central whom forward enter ...       word, pull, enough   \n",
+              "\n",
+              "                              Appearance Description Alignment  \\\n",
+              "0            None act worker order seem system pass.   Villain   \n",
+              "1  American on clear could girl result its by ano...   Villain   \n",
+              "2  Hundred couple one anything the read color gue...      Hero   \n",
+              "3               Reflect blue travel space onto miss.   Neutral   \n",
+              "4  Tend us people special speak item size human h...      Hero   \n",
+              "\n",
+              "          Interests/Hobbies  \\\n",
+              "0      so, allow, establish   \n",
+              "1  since, describe, current   \n",
+              "2           sing, war, data   \n",
+              "3          plan, also, most   \n",
+              "4        throw, sort, tough   \n",
+              "\n",
+              "                                       Relationships  \\\n",
+              "0  Morning weight vote right serve ago book project.   \n",
+              "1  Attention later left exactly response rich des...   \n",
+              "2  Different ahead crime tonight no pressure brea...   \n",
+              "3        Mr rich remain sense real someone personal.   \n",
+              "4  Among magazine range fact goal common indicate...   \n",
+              "\n",
+              "                                 Significance/Impact  \\\n",
+              "0  Way forget year network degree off they outsid...   \n",
+              "1              Step most community turn simple item.   \n",
+              "2               Certain card case main indicate you.   \n",
+              "3  Shoulder often these collection single color p...   \n",
+              "4   Bill treat image population evening its protect.   \n",
+              "\n",
+              "                                         Description  \\\n",
+              "0  Maintain minute evening sea. Move anything thi...   \n",
+              "1  Hear side third article model research conditi...   \n",
+              "2  Set wide land within medical. Bit read effect ...   \n",
+              "3  Represent front meeting deep. Apply culture ea...   \n",
+              "4  Result college yet theory safe. Radio sense ro...   \n",
+              "\n",
+              "                           Scenario/Dialogue Example  \n",
+              "0  Tend fast quality represent audience and red s...  \n",
+              "1  Ahead Congress bit choose relationship let nat...  \n",
+              "2  Daughter control among campaign bill lead shar...  \n",
+              "3   Thing eye use seven chance put least as product.  \n",
+              "4  Large despite none body movie might prepare ea...  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-72e99fd2-cdc0-45b3-a43a-9e4136ab289c\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Character Name</th>\n",
+              "      <th>Media Type</th>\n",
+              "      <th>Media Source</th>\n",
+              "      <th>Genre</th>\n",
+              "      <th>Role</th>\n",
+              "      <th>Personality Traits</th>\n",
+              "      <th>Backstory</th>\n",
+              "      <th>Skills/Abilities</th>\n",
+              "      <th>Appearance Description</th>\n",
+              "      <th>Alignment</th>\n",
+              "      <th>Interests/Hobbies</th>\n",
+              "      <th>Relationships</th>\n",
+              "      <th>Significance/Impact</th>\n",
+              "      <th>Description</th>\n",
+              "      <th>Scenario/Dialogue Example</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Jeffrey Powell</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Adaptive intermediate flexibility</td>\n",
+              "      <td>Thriller</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>candidate, hundred, case</td>\n",
+              "      <td>Body now hope likely cup under world could total.</td>\n",
+              "      <td>option, try, difference</td>\n",
+              "      <td>None act worker order seem system pass.</td>\n",
+              "      <td>Villain</td>\n",
+              "      <td>so, allow, establish</td>\n",
+              "      <td>Morning weight vote right serve ago book project.</td>\n",
+              "      <td>Way forget year network degree off they outsid...</td>\n",
+              "      <td>Maintain minute evening sea. Move anything thi...</td>\n",
+              "      <td>Tend fast quality represent audience and red s...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Amanda Williams</td>\n",
+              "      <td>Webcomic</td>\n",
+              "      <td>Stand-alone fault-tolerant flexibility</td>\n",
+              "      <td>Fantasy</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>through, new, community</td>\n",
+              "      <td>Perhaps sometimes give evidence many fact each...</td>\n",
+              "      <td>year, service, debate</td>\n",
+              "      <td>American on clear could girl result its by ano...</td>\n",
+              "      <td>Villain</td>\n",
+              "      <td>since, describe, current</td>\n",
+              "      <td>Attention later left exactly response rich des...</td>\n",
+              "      <td>Step most community turn simple item.</td>\n",
+              "      <td>Hear side third article model research conditi...</td>\n",
+              "      <td>Ahead Congress bit choose relationship let nat...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Ryan Terry</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Pre-emptive attitude-oriented methodology</td>\n",
+              "      <td>Mystery</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>defense, medical, phone</td>\n",
+              "      <td>North get on listen avoid better whom recent m...</td>\n",
+              "      <td>floor, threat, bad</td>\n",
+              "      <td>Hundred couple one anything the read color gue...</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>sing, war, data</td>\n",
+              "      <td>Different ahead crime tonight no pressure brea...</td>\n",
+              "      <td>Certain card case main indicate you.</td>\n",
+              "      <td>Set wide land within medical. Bit read effect ...</td>\n",
+              "      <td>Daughter control among campaign bill lead shar...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Diana Huang</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Innovative clear-thinking knowledgebase</td>\n",
+              "      <td>Romance</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>morning, check, strong</td>\n",
+              "      <td>Environment activity brother ten gun provide r...</td>\n",
+              "      <td>stay, attorney, reality</td>\n",
+              "      <td>Reflect blue travel space onto miss.</td>\n",
+              "      <td>Neutral</td>\n",
+              "      <td>plan, also, most</td>\n",
+              "      <td>Mr rich remain sense real someone personal.</td>\n",
+              "      <td>Shoulder often these collection single color p...</td>\n",
+              "      <td>Represent front meeting deep. Apply culture ea...</td>\n",
+              "      <td>Thing eye use seven chance put least as product.</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Olivia Collier</td>\n",
+              "      <td>Video Game</td>\n",
+              "      <td>Profound homogeneous data-warehouse</td>\n",
+              "      <td>Fantasy</td>\n",
+              "      <td>Protagonist</td>\n",
+              "      <td>appear, family, environment</td>\n",
+              "      <td>Event make finally central whom forward enter ...</td>\n",
+              "      <td>word, pull, enough</td>\n",
+              "      <td>Tend us people special speak item size human h...</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>throw, sort, tough</td>\n",
+              "      <td>Among magazine range fact goal common indicate...</td>\n",
+              "      <td>Bill treat image population evening its protect.</td>\n",
+              "      <td>Result college yet theory safe. Radio sense ro...</td>\n",
+              "      <td>Large despite none body movie might prepare ea...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-72e99fd2-cdc0-45b3-a43a-9e4136ab289c')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
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+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
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+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-72e99fd2-cdc0-45b3-a43a-9e4136ab289c button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-72e99fd2-cdc0-45b3-a43a-9e4136ab289c');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
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+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
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+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
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+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-6aca9c24-fd7a-47ea-8107-7a4b22bccb9e button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"Character Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1491,\n        \"samples\": [\n          \"Kimberly Black\",\n          \"Johnny Hawkins\",\n          \"Samuel Murray\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Media Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Webcomic\",\n          \"Movie\",\n          \"Video Game\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Media Source\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1499,\n        \"samples\": [\n          \"Programmable 24/7 concept\",\n          \"User-centric responsive encoding\",\n          \"Compatible motivating application\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Thriller\",\n          \"Fantasy\",\n          \"Sci-Fi\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Role\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Antagonist\",\n          \"Hero\",\n          \"Mentor\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Personality Traits\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"from, result, maintain\",\n          \"for, eat, determine\",\n          \"which, agent, positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Backstory\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Any water just while wonder at change subject moment.\",\n          \"Be reflect need institution protect reveal Democrat study brother.\",\n          \"Go glass blood carry purpose little white individual level tough great six turn sport pull.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Skills/Abilities\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"decade, off, art\",\n          \"consumer, price, summer\",\n          \"sure, what, appear\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Appearance Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Around challenge agent exist without expect listen happen old behind.\",\n          \"Person really time team year upon.\",\n          \"Add carry after expert speak treat peace consider move plant group.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Alignment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Villain\",\n          \"Hero\",\n          \"Neutral\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Interests/Hobbies\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"high, score, newspaper\",\n          \"improve, central, officer\",\n          \"during, fear, discover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Relationships\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Especially early should lot week benefit college democratic administration present.\",\n          \"Side population employee effect point half left.\",\n          \"Subject explain cover pretty agent voice.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Significance/Impact\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Reduce take film work ahead my turn else.\",\n          \"North cup easy take Congress lose management.\",\n          \"Recent action own every physical say dark central.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Us service whose case. Material dog course begin away financial.\",\n          \"Oil easy almost free. Politics that station young nearly surface. She accept public response possible.\",\n          \"No hear to statement include beautiful summer. Bring growth avoid civil beautiful sign second.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Scenario/Dialogue Example\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Wish near already evidence state consider worker training argue learn chance shake accept ever.\",\n          \"Goal scientist card time wait necessary continue data agent tonight garden suddenly organization about oil.\",\n          \"Cause fill marriage myself serve probably family spring head court door them court senior site return strong major democratic federal.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 2
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "missing_values = df.isnull().sum()\n",
+        "print('Missing values by column:')\n",
+        "print(missing_values)\n",
+        "\n",
+        "columns_of_interest = ['Media Type', 'Genre', 'Role', 'Alignment']\n",
+        "df_clean = df.dropna(subset=columns_of_interest)\n",
+        "print('After cleaning, number of rows:', df_clean.shape[0])\n",
+        "\n",
+        "df_clean.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 938
+        },
+        "id": "E6N7yRCR-M0L",
+        "outputId": "7e1368e9-26d2-42ef-9fa5-ecf2ff5b591a"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Missing values by column:\n",
+            "Character Name               0\n",
+            "Media Type                   0\n",
+            "Media Source                 0\n",
+            "Genre                        0\n",
+            "Role                         0\n",
+            "Personality Traits           0\n",
+            "Backstory                    0\n",
+            "Skills/Abilities             0\n",
+            "Appearance Description       0\n",
+            "Alignment                    0\n",
+            "Interests/Hobbies            0\n",
+            "Relationships                0\n",
+            "Significance/Impact          0\n",
+            "Description                  0\n",
+            "Scenario/Dialogue Example    0\n",
+            "dtype: int64\n",
+            "After cleaning, number of rows: 1500\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    Character Name  Media Type                               Media Source  \\\n",
+              "0   Jeffrey Powell       Novel          Adaptive intermediate flexibility   \n",
+              "1  Amanda Williams    Webcomic     Stand-alone fault-tolerant flexibility   \n",
+              "2       Ryan Terry       Novel  Pre-emptive attitude-oriented methodology   \n",
+              "3      Diana Huang       Novel    Innovative clear-thinking knowledgebase   \n",
+              "4   Olivia Collier  Video Game        Profound homogeneous data-warehouse   \n",
+              "\n",
+              "      Genre         Role           Personality Traits  \\\n",
+              "0  Thriller   Antagonist     candidate, hundred, case   \n",
+              "1   Fantasy   Antagonist      through, new, community   \n",
+              "2   Mystery         Hero      defense, medical, phone   \n",
+              "3   Romance   Antagonist       morning, check, strong   \n",
+              "4   Fantasy  Protagonist  appear, family, environment   \n",
+              "\n",
+              "                                           Backstory         Skills/Abilities  \\\n",
+              "0  Body now hope likely cup under world could total.  option, try, difference   \n",
+              "1  Perhaps sometimes give evidence many fact each...    year, service, debate   \n",
+              "2  North get on listen avoid better whom recent m...       floor, threat, bad   \n",
+              "3  Environment activity brother ten gun provide r...  stay, attorney, reality   \n",
+              "4  Event make finally central whom forward enter ...       word, pull, enough   \n",
+              "\n",
+              "                              Appearance Description Alignment  \\\n",
+              "0            None act worker order seem system pass.   Villain   \n",
+              "1  American on clear could girl result its by ano...   Villain   \n",
+              "2  Hundred couple one anything the read color gue...      Hero   \n",
+              "3               Reflect blue travel space onto miss.   Neutral   \n",
+              "4  Tend us people special speak item size human h...      Hero   \n",
+              "\n",
+              "          Interests/Hobbies  \\\n",
+              "0      so, allow, establish   \n",
+              "1  since, describe, current   \n",
+              "2           sing, war, data   \n",
+              "3          plan, also, most   \n",
+              "4        throw, sort, tough   \n",
+              "\n",
+              "                                       Relationships  \\\n",
+              "0  Morning weight vote right serve ago book project.   \n",
+              "1  Attention later left exactly response rich des...   \n",
+              "2  Different ahead crime tonight no pressure brea...   \n",
+              "3        Mr rich remain sense real someone personal.   \n",
+              "4  Among magazine range fact goal common indicate...   \n",
+              "\n",
+              "                                 Significance/Impact  \\\n",
+              "0  Way forget year network degree off they outsid...   \n",
+              "1              Step most community turn simple item.   \n",
+              "2               Certain card case main indicate you.   \n",
+              "3  Shoulder often these collection single color p...   \n",
+              "4   Bill treat image population evening its protect.   \n",
+              "\n",
+              "                                         Description  \\\n",
+              "0  Maintain minute evening sea. Move anything thi...   \n",
+              "1  Hear side third article model research conditi...   \n",
+              "2  Set wide land within medical. Bit read effect ...   \n",
+              "3  Represent front meeting deep. Apply culture ea...   \n",
+              "4  Result college yet theory safe. Radio sense ro...   \n",
+              "\n",
+              "                           Scenario/Dialogue Example  \n",
+              "0  Tend fast quality represent audience and red s...  \n",
+              "1  Ahead Congress bit choose relationship let nat...  \n",
+              "2  Daughter control among campaign bill lead shar...  \n",
+              "3   Thing eye use seven chance put least as product.  \n",
+              "4  Large despite none body movie might prepare ea...  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-3893dab5-101b-460d-b3f1-b149226b67a6\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Character Name</th>\n",
+              "      <th>Media Type</th>\n",
+              "      <th>Media Source</th>\n",
+              "      <th>Genre</th>\n",
+              "      <th>Role</th>\n",
+              "      <th>Personality Traits</th>\n",
+              "      <th>Backstory</th>\n",
+              "      <th>Skills/Abilities</th>\n",
+              "      <th>Appearance Description</th>\n",
+              "      <th>Alignment</th>\n",
+              "      <th>Interests/Hobbies</th>\n",
+              "      <th>Relationships</th>\n",
+              "      <th>Significance/Impact</th>\n",
+              "      <th>Description</th>\n",
+              "      <th>Scenario/Dialogue Example</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Jeffrey Powell</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Adaptive intermediate flexibility</td>\n",
+              "      <td>Thriller</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>candidate, hundred, case</td>\n",
+              "      <td>Body now hope likely cup under world could total.</td>\n",
+              "      <td>option, try, difference</td>\n",
+              "      <td>None act worker order seem system pass.</td>\n",
+              "      <td>Villain</td>\n",
+              "      <td>so, allow, establish</td>\n",
+              "      <td>Morning weight vote right serve ago book project.</td>\n",
+              "      <td>Way forget year network degree off they outsid...</td>\n",
+              "      <td>Maintain minute evening sea. Move anything thi...</td>\n",
+              "      <td>Tend fast quality represent audience and red s...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Amanda Williams</td>\n",
+              "      <td>Webcomic</td>\n",
+              "      <td>Stand-alone fault-tolerant flexibility</td>\n",
+              "      <td>Fantasy</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>through, new, community</td>\n",
+              "      <td>Perhaps sometimes give evidence many fact each...</td>\n",
+              "      <td>year, service, debate</td>\n",
+              "      <td>American on clear could girl result its by ano...</td>\n",
+              "      <td>Villain</td>\n",
+              "      <td>since, describe, current</td>\n",
+              "      <td>Attention later left exactly response rich des...</td>\n",
+              "      <td>Step most community turn simple item.</td>\n",
+              "      <td>Hear side third article model research conditi...</td>\n",
+              "      <td>Ahead Congress bit choose relationship let nat...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Ryan Terry</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Pre-emptive attitude-oriented methodology</td>\n",
+              "      <td>Mystery</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>defense, medical, phone</td>\n",
+              "      <td>North get on listen avoid better whom recent m...</td>\n",
+              "      <td>floor, threat, bad</td>\n",
+              "      <td>Hundred couple one anything the read color gue...</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>sing, war, data</td>\n",
+              "      <td>Different ahead crime tonight no pressure brea...</td>\n",
+              "      <td>Certain card case main indicate you.</td>\n",
+              "      <td>Set wide land within medical. Bit read effect ...</td>\n",
+              "      <td>Daughter control among campaign bill lead shar...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Diana Huang</td>\n",
+              "      <td>Novel</td>\n",
+              "      <td>Innovative clear-thinking knowledgebase</td>\n",
+              "      <td>Romance</td>\n",
+              "      <td>Antagonist</td>\n",
+              "      <td>morning, check, strong</td>\n",
+              "      <td>Environment activity brother ten gun provide r...</td>\n",
+              "      <td>stay, attorney, reality</td>\n",
+              "      <td>Reflect blue travel space onto miss.</td>\n",
+              "      <td>Neutral</td>\n",
+              "      <td>plan, also, most</td>\n",
+              "      <td>Mr rich remain sense real someone personal.</td>\n",
+              "      <td>Shoulder often these collection single color p...</td>\n",
+              "      <td>Represent front meeting deep. Apply culture ea...</td>\n",
+              "      <td>Thing eye use seven chance put least as product.</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Olivia Collier</td>\n",
+              "      <td>Video Game</td>\n",
+              "      <td>Profound homogeneous data-warehouse</td>\n",
+              "      <td>Fantasy</td>\n",
+              "      <td>Protagonist</td>\n",
+              "      <td>appear, family, environment</td>\n",
+              "      <td>Event make finally central whom forward enter ...</td>\n",
+              "      <td>word, pull, enough</td>\n",
+              "      <td>Tend us people special speak item size human h...</td>\n",
+              "      <td>Hero</td>\n",
+              "      <td>throw, sort, tough</td>\n",
+              "      <td>Among magazine range fact goal common indicate...</td>\n",
+              "      <td>Bill treat image population evening its protect.</td>\n",
+              "      <td>Result college yet theory safe. Radio sense ro...</td>\n",
+              "      <td>Large despite none body movie might prepare ea...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3893dab5-101b-460d-b3f1-b149226b67a6')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-3893dab5-101b-460d-b3f1-b149226b67a6 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-3893dab5-101b-460d-b3f1-b149226b67a6');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "    <div id=\"df-c0f191e1-de5b-4e15-95b0-4373acb013dc\">\n",
+              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c0f191e1-de5b-4e15-95b0-4373acb013dc')\"\n",
+              "                title=\"Suggest charts\"\n",
+              "                style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "      </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "      <script>\n",
+              "        async function quickchart(key) {\n",
+              "          const quickchartButtonEl =\n",
+              "            document.querySelector('#' + key + ' button');\n",
+              "          quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "          quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "          try {\n",
+              "            const charts = await google.colab.kernel.invokeFunction(\n",
+              "                'suggestCharts', [key], {});\n",
+              "          } catch (error) {\n",
+              "            console.error('Error during call to suggestCharts:', error);\n",
+              "          }\n",
+              "          quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "          quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "        }\n",
+              "        (() => {\n",
+              "          let quickchartButtonEl =\n",
+              "            document.querySelector('#df-c0f191e1-de5b-4e15-95b0-4373acb013dc button');\n",
+              "          quickchartButtonEl.style.display =\n",
+              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "        })();\n",
+              "      </script>\n",
+              "    </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df_clean",
+              "summary": "{\n  \"name\": \"df_clean\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"Character Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1491,\n        \"samples\": [\n          \"Kimberly Black\",\n          \"Johnny Hawkins\",\n          \"Samuel Murray\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Media Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Webcomic\",\n          \"Movie\",\n          \"Video Game\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Media Source\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1499,\n        \"samples\": [\n          \"Programmable 24/7 concept\",\n          \"User-centric responsive encoding\",\n          \"Compatible motivating application\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Thriller\",\n          \"Fantasy\",\n          \"Sci-Fi\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Role\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Antagonist\",\n          \"Hero\",\n          \"Mentor\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Personality Traits\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"from, result, maintain\",\n          \"for, eat, determine\",\n          \"which, agent, positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Backstory\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Any water just while wonder at change subject moment.\",\n          \"Be reflect need institution protect reveal Democrat study brother.\",\n          \"Go glass blood carry purpose little white individual level tough great six turn sport pull.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Skills/Abilities\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"decade, off, art\",\n          \"consumer, price, summer\",\n          \"sure, what, appear\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Appearance Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Around challenge agent exist without expect listen happen old behind.\",\n          \"Person really time team year upon.\",\n          \"Add carry after expert speak treat peace consider move plant group.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Alignment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Villain\",\n          \"Hero\",\n          \"Neutral\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Interests/Hobbies\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"high, score, newspaper\",\n          \"improve, central, officer\",\n          \"during, fear, discover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Relationships\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Especially early should lot week benefit college democratic administration present.\",\n          \"Side population employee effect point half left.\",\n          \"Subject explain cover pretty agent voice.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Significance/Impact\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Reduce take film work ahead my turn else.\",\n          \"North cup easy take Congress lose management.\",\n          \"Recent action own every physical say dark central.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Us service whose case. Material dog course begin away financial.\",\n          \"Oil easy almost free. Politics that station young nearly surface. She accept public response possible.\",\n          \"No hear to statement include beautiful summer. Bring growth avoid civil beautiful sign second.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Scenario/Dialogue Example\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"Wish near already evidence state consider worker training argue learn chance shake accept ever.\",\n          \"Goal scientist card time wait necessary continue data agent tonight garden suddenly organization about oil.\",\n          \"Cause fill marriage myself serve probably family spring head court door them court senior site return strong major democratic federal.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.countplot(data=df_clean, x='Alignment', order=df_clean['Alignment'].value_counts().index, palette='viridis')\n",
+        "plt.title('Distribution of Charcater Alignment')\n",
+        "plt.xlabel('Alignment')\n",
+        "plt.ylabel('Count')\n",
+        "plt.xticks(rotation=45)\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "sns.countplot(data=df_clean, x='Genre', hue='Alignment', palette='magma')\n",
+        "plt.title('Alignment Distribution across Genres')\n",
+        "plt.xlabel('Genre')\n",
+        "plt.ylabel('Count')\n",
+        "plt.xticks(rotation=45)\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "df_clean['Backstory_Length'] = df_clean['Backstory'].astype(str).apply(len)\n",
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.boxplot(y=df_clean['Backstory_Length'], color='skyblue')\n",
+        "plt.title('Backstory Text Length Distribution')\n",
+        "plt.ylabel('Number of Characters')\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.histplot(df_clean['Backstory_Length'], bins=30, kde=True, color='green')\n",
+        "plt.title('Histogram of Backstory Text Length')\n",
+        "plt.xlabel('Backstory Length (characters)')\n",
+        "plt.ylabel('Frequency')\n",
+        "plt.tight_layout()\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "id": "y9WTWCSV-rHH"
+      },
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Visualize the distribution of 'Alignment' using a count plot (Pie Chart style is not very applicable for too many categories)\n",
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.countplot(data=df_clean, x='Alignment', order=df_clean['Alignment'].value_counts().index, palette='viridis')\n",
+        "plt.title('Distribution of Character Alignment')\n",
+        "plt.xlabel('Alignment')\n",
+        "plt.ylabel('Count')\n",
+        "plt.xticks(rotation=45)\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "# Investigate relationships between key categorical features using a grouped bar plot\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "sns.countplot(data=df_clean, x='Genre', hue='Alignment', palette='magma')\n",
+        "plt.title('Alignment Distribution across Genres')\n",
+        "plt.xlabel('Genre')\n",
+        "plt.ylabel('Count')\n",
+        "plt.xticks(rotation=45)\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "# A box plot to potentially spot outliers in the length of textual description of 'Backstory'\n",
+        "df_clean['Backstory_Length'] = df_clean['Backstory'].astype(str).apply(len)\n",
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.boxplot(y=df_clean['Backstory_Length'], color='skyblue')\n",
+        "plt.title('Backstory Text Length Distribution')\n",
+        "plt.ylabel('Number of Characters')\n",
+        "plt.tight_layout()\n",
+        "plt.show()\n",
+        "\n",
+        "# A histogram to examine the frequency distribution of the backstory lengths\n",
+        "plt.figure(figsize=(8, 5))\n",
+        "sns.histplot(df_clean['Backstory_Length'], bins=30, kde=True, color='green')\n",
+        "plt.title('Histogram of Backstory Text Length')\n",
+        "plt.xlabel('Backstory Length (characters)')\n",
+        "plt.ylabel('Frequency')\n",
+        "plt.tight_layout()\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "id": "PePa4jklAfqj"
+      },
+      "execution_count": 12,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "features = ['Media Type', 'Genre', 'Role']\n",
+        "target = 'Alignment'\n",
+        "\n",
+        "X = df_clean[features]\n",
+        "y = df_clean[target]\n",
+        "\n",
+        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+        "print('Training set size:', X_train.shape[0], '; Testing set size:', X_test.shape[0])\n",
+        "\n",
+        "categorical_preprocessor = OneHotEncoder(handle_unknown='ignore')\n",
+        "\n",
+        "preprocessor = ColumnTransformer(transformers=[('cat', categorical_preprocessor, features)])\n",
+        "pipeline = Pipeline(steps=[\n",
+        "    ('preprocessor', preprocessor),\n",
+        "    ('classifier', LogisticRegression(max_iter=1000))\n",
+        "])\n",
+        "pipeline.fit(X_train, y_train)\n",
+        "print('Model training complete.')\n",
+        "y_pred = pipeline.predict(X_test)\n",
+        "accuracy = accuracy_score(y_test, y_pred)\n",
+        "print('Prediction Accuracy:', accuracy)\n",
+        "cm = confusion_matrix(y_test, y_pred)\n",
+        "plt.figure(figsize=(6, 4))\n",
+        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
+        "plt.title('Confusion Matrix')\n",
+        "plt.xlabel('Predicted')\n",
+        "plt.ylabel('Actual')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "obJ9JTaxAqiF",
+        "outputId": "a759bcc8-bc98-40e5-c855-7cd14732912a"
+      },
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Training set size: 1200 ; Testing set size: 300\n",
+            "Model training complete.\n",
+            "Prediction Accuracy: 0.35333333333333333\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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nTp104cIF27Lr/y1d25PSqFEjSbJ9e+/r6ytJRT5QRUVFyWq1Kj4+3u51ly9frvT09CJnIrqZxx9/XBaLRWPGjNHx48edci2Kfv36affu3dq8eXORZWlpabZiJ107nr2goEDLly/XG2+8IU9PTw0dOtRuu4p7H25V06ZNFRERoXnz5tnK5fVu5fCb6OhoSddOXXq9RYsWFVnX2dtTEidPntTgwYNltVpveGheoYyMDLufj3StZHh4eNh+L6Vr2+Cs/Lt377aby3T69Gn94x//UOfOnW17CSIiIpSenq6DBw/a1jt37pztML7rlTSbM/+OALgWeywA3BabNm3Szz//LOnasf3vvfeekpKSNGnSJNvhIN26ddOCBQvUpUsXPfHEEzp//rwWL16sOnXq2H2QqVOnjl544QW99NJLatu2rfr06SNvb2/t2bNHISEhmj17dpHXr1OnjrZs2aL27dsrOjpaO3bskL+/v/70pz/p4sWLevjhh1WrVi2dPHlSixYtUuPGjW2Fp3HjxqpQoYLmzJmj9PR0eXt76+GHH1bNmjU1efJkzZgxQ126dFGPHj105MgRLVmyRH/4wx8cKgc1atRQly5d9NFHH6lKlSpO+TD17LPPasOGDXrkkUc0ePBgNW3aVFlZWfrxxx+1du1a/fLLL6pevbpWrFihzz77TCtXrlStWrUkXfsg3r9/fy1dutQ2EbpwYu8LL7yg2NhYeXl5qXv37rYP6DeSl5dn+3b9eoGBgRoxYoTeeustxcTEqEGDBhoyZIjuvPNOnTlzRp9//rn8/f316aefOrTNTZs2Vd++fbVw4UJduHDBdrrZo0ePSrL/Fv1WtscR+/fv1+rVq1VQUKC0tDTt2bNHH3/8sSwWi959911bgb2RHTt2aNSoUXr00Ud1zz336OrVq3r33XdVoUIFu0PYmjZtqm3btmnBggUKCQlReHi4WrRocUt5GzZsqOjoaLvTzUrXTu1cKDY2VhMnTlTv3r01evRoZWdna+nSpbrnnnvsSokj2WrUqOG0vyMALua6E1IBKA9udLpZHx8fo3HjxsbSpUvtTjNqGIaxfPlyo27duoa3t7dx7733GitWrLjhqSwNwzDefvtt44EHHjC8vb2NqlWrGg899JCxdetW2/LrTzdbKDEx0fDz8zPatWtnZGdnG2vXrjU6d+5s1KxZ07BarUbt2rWNp556yjh37pzd4958803j7rvvNipUqFDk1LOvvfaace+99xpeXl5GUFCQ8fTTTxupqal2j3/ooYeMBg0a3PS9+vDDDw1JxvDhw2+6XnF+e7pZwzCMS5cuGZMnTzbq1KljWK1Wo3r16karVq2MefPmGbm5ucbp06eNgIAAo3v37kWer3fv3oavr6/dKW9feukl48477zQ8PDz+56lnBw0adMNTDUsyIiIibOt9//33Rp8+fYxq1aoZ3t7eRlhYmNGvXz9j+/bttnUKfwd+/fVXu9f47alLDcMwsrKyjJEjRxqBgYFG5cqVjV69ehlHjhwxJBmvvPKK3eOL2x5JxsiRI4tsU1hY2A1PoXq9wtPNFt48PT2NwMBAo0WLFsbkyZONkydPFnnMb083e/z4cePJJ580IiIiDB8fHyMwMNDo0KGDsW3bNrvH/fzzz0a7du2MihUrGpJs2Yp7v65fdr3C7V29erXt7++BBx4ocoplwzCMLVu2GA0bNjSsVqtRr149Y/Xq1Td8zuKy3ehnZhjm/o6KOw0ugNvLYhjMdgKAsuAf//iHevXqpZ07d6pt27aujvO7cuDAAT3wwANavXq14uLiXB0HAH6XmGMBAGXEm2++qbvvvltt2rRxdRS3dvny5SJjCxculIeHh9q1a+eCRABQPjDHAgBc7IMPPtDBgwf12Wef6dVXX3XZ2Yp+L+bOnat9+/apQ4cO8vT01KZNm7Rp0yYNHz5coaGhro4HAL9bHAoFAC5msVhUuXJlPfbYY1q2bJk8PfnOx4ytW7dqxowZOnTokDIzM1W7dm0NGDBAL7zwAu8tAJQiigUAAAAA05hjAQAAAMA0igUAAAAA0zjYVFJBQYHOnj0rPz8/Jk0CAAAA/z/DMHTp0iWFhITIw+Pm+yQoFpLOnj3LmUIAAACAYpw+fVq1atW66ToUC0l+fn6Srr1h/v7+Lk4DAAAAlA0ZGRkKDQ21fV6+GYqFZDv8yd/fn2IBAAAA/EZJpgsweRsAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYJqnqwMA+H3Kzc1VSkqKq2MAKIeCgoJktVpdHQModygWAEpFSkqK5s+f7+oYAMqhCRMmKDQ01NUxgHKHYgGgVAQFBWnChAmujgE3lJKSotWrV6t///4KCgpydRy4IX5vANegWAAoFVarlW8MYUpQUBC/QwDgRpi8DQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATHNpsdi5c6e6d++ukJAQWSwWrV+/3rYsLy9PEydOVGRkpHx9fRUSEqKBAwfq7Nmzds9x8eJFxcXFyd/fX1WqVNHQoUOVmZl5m7cEAAAAKN9cWiyysrJ0//33a/HixUWWZWdna//+/Zo6dar279+vdevW6ciRI+rRo4fdenFxcfrpp5+0detWbdy4UTt37tTw4cNv1yYAAAAAkIuvvB0TE6OYmJgbLgsICNDWrVvtxl577TU1b95cp06dUu3atXX48GElJCRoz549atasmSRp0aJF6tq1q+bNm6eQkJBS3wYAAAAAbjbHIj09XRaLRVWqVJEk7d69W1WqVLGVCkmKioqSh4eHEhMTi32enJwcZWRk2N0AAAAA3Dq3KRZXrlzRxIkT9fjjj8vf31+SlJycrJo1a9qt5+npqcDAQCUnJxf7XLNnz1ZAQIDtFhoaWqrZAQAAgN87tygWeXl56tevnwzD0NKlS00/3+TJk5Wenm67nT592gkpAQAAgPLLpXMsSqKwVJw8eVI7duyw7a2QpODgYJ0/f95u/atXr+rixYsKDg4u9jm9vb3l7e1dapkBAACA8qZM77EoLBVJSUnatm2bqlWrZre8ZcuWSktL0759+2xjO3bsUEFBgVq0aHG74wIAAADllkv3WGRmZurYsWO2+ydOnNCBAwcUGBioO+64Q3/84x+1f/9+bdy4Ufn5+bZ5E4GBgbJarbrvvvvUpUsXDRs2TMuWLVNeXp5GjRql2NhYzggFAAAA3EYuLRZ79+5Vhw4dbPfHjx8vSRo0aJCmT5+uDRs2SJIaN25s97jPP/9c7du3lyStWbNGo0aNUseOHeXh4aG+ffsqPj7+tuQHAAAAcI1Li0X79u1lGEaxy2+2rFBgYKDee+89Z8YCAAAA4KAyPccCAAAAgHugWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANIoFAAAAANMoFgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADTKBYAAAAATKNYAAAAADCNYgEAAADANJcWi507d6p79+4KCQmRxWLR+vXr7ZYbhqEXX3xRd9xxhypWrKioqCglJSXZrXPx4kXFxcXJ399fVapU0dChQ5WZmXkbtwIAAACAS4tFVlaW7r//fi1evPiGy+fOnav4+HgtW7ZMiYmJ8vX1VXR0tK5cuWJbJy4uTj/99JO2bt2qjRs3aufOnRo+fPjt2gQAAAAAkjxd+eIxMTGKiYm54TLDMLRw4UJNmTJFPXv2lCS98847CgoK0vr16xUbG6vDhw8rISFBe/bsUbNmzSRJixYtUteuXTVv3jyFhITctm0BAAAAyrMyO8fixIkTSk5OVlRUlG0sICBALVq00O7duyVJu3fvVpUqVWylQpKioqLk4eGhxMTEYp87JydHGRkZdjcAAAAAt67MFovk5GRJUlBQkN14UFCQbVlycrJq1qxpt9zT01OBgYG2dW5k9uzZCggIsN1CQ0OdnB4AAAAoX8pssShNkydPVnp6uu12+vRpV0cCAAAA3FqZLRbBwcGSpJSUFLvxlJQU27Lg4GCdP3/ebvnVq1d18eJF2zo34u3tLX9/f7sbAAAAgFtXZotFeHi4goODtX37dttYRkaGEhMT1bJlS0lSy5YtlZaWpn379tnW2bFjhwoKCtSiRYvbnhkAAAAor1x6VqjMzEwdO3bMdv/EiRM6cOCAAgMDVbt2bY0dO1Yvv/yy6tatq/DwcE2dOlUhISHq1auXJOm+++5Tly5dNGzYMC1btkx5eXkaNWqUYmNjOSMUAAAAcBu5tFjs3btXHTp0sN0fP368JGnQoEFauXKlnnvuOWVlZWn48OFKS0tTmzZtlJCQIB8fH9tj1qxZo1GjRqljx47y8PBQ3759FR8ff9u3BQAAACjPLIZhGK4O4WoZGRkKCAhQeno68y0AwMVOnz6t+fPna8KECZy1DwBczJHPyWV2jgUAAAAA90GxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaaaLRUZGhtavX6/Dhw87Iw8AAAAAN+RwsejXr59ee+01SdLly5fVrFkz9evXT40aNdLHH3/s9IAAAAAAyj6Hi8XOnTvVtm1bSdInn3wiwzCUlpam+Ph4vfzyy04PCAAAAKDsc7hYpKenKzAwUJKUkJCgvn37qlKlSurWrZuSkpKcHhAAAABA2edwsQgNDdXu3buVlZWlhIQEde7cWZKUmpoqHx8fpwcEAAAAUPZ5OvqAsWPHKi4uTpUrV1ZYWJjat28v6dohUpGRkc7OBwAAAMANOFwsRowYoRYtWujUqVPq1KmTPDyu7fS4++67mWMBAAAAlFMOHQqVl5eniIgIVapUSb1791blypVty7p166bWrVs7PSAAAACAss+hYuHl5aUrV66UVhYAAAAAbsrhydsjR47UnDlzdPXq1dLIAwAAAMANOTzHYs+ePdq+fbu2bNmiyMhI+fr62i1ft26d08IBAAAAcA8OF4sqVaqob9++pZEFAAAAgJtyuFisWLGiNHIAAAAAcGMOz7GQpKtXr2rbtm16/fXXdenSJUnS2bNnlZmZ6dRwAAAAANyDw3ssTp48qS5duujUqVPKyclRp06d5Ofnpzlz5ignJ0fLli0rjZwAAAAAyjCH91iMGTNGzZo1U2pqqipWrGgb7927t7Zv3+7UcAAAAADcg8N7LL766ivt2rVLVqvVbvyuu+7SmTNnnBYMAAAAgPtweI9FQUGB8vPzi4z/5z//kZ+fn1NCAQAAAHAvDheLzp07a+HChbb7FotFmZmZmjZtmrp27erMbAAAAADchMOHQs2fP1/R0dGqX7++rly5oieeeEJJSUmqXr263n///dLICAAAAKCMc7hY1KpVSz/88IP+/ve/64cfflBmZqaGDh2quLg4u8ncAAAAAMoPh4vFzp071apVK8XFxSkuLs42fvXqVe3cuVPt2rVzakAAAAAAZZ/Dcyw6dOigixcvFhlPT09Xhw4dnBIKAAAAgHtxeI+FYRiyWCxFxi9cuCBfX1+nhELZkpqaylXVAdw2KSkpdv8LALdD5cqVVbVqVVfHcGslLhZ9+vSRdO0sUIMHD5a3t7dtWX5+vg4ePKhWrVo5PyFcKjU1VbNmzVJeXp6rowAoZ1avXu3qCADKES8vLz3//POUCxNKXCwCAgIkXdtj4efnZzdR22q16sEHH9SwYcOcnxAulZmZqby8PAW1jJY1INDVcQAAAJwuN/2iUnZvVmZmJsXChBIXixUrVki6doXtZ599VpUqVSq1UCh7rAGB8gms6eoYAAAAKKMcnrw9cOBAnTlzpsh4UlKSfvnlF2dkAgAAAOBmHC4WgwcP1q5du4qMJyYmavDgwc7IBAAAAMDNOFwsvv/+e7Vu3brI+IMPPqgDBw44IxMAAAAAN+NwsbBYLLp06VKR8fT0dOXn5zslFAAAAAD34nCxaNeunWbPnm1XIvLz8zV79my1adPGqeEAAAAAuAeHL5A3Z84ctWvXTvXq1VPbtm0lSV999ZUyMjK0Y8cOpwcEAAAAUPY5vMeifv36OnjwoPr166fz58/r0qVLGjhwoH7++Wc1bNiwNDICAAAAKOMc3mMhSSEhIZo1a5azswAAAABwU7dULCQpOztbp06dUm5urt14o0aNTIcCAAAA4F4cLha//vqrhgwZok2bNt1wOWeGAgAAAMofh+dYjB07VmlpaUpMTFTFihWVkJCgVatWqW7dutqwYUNpZAQAAABQxjm8x2LHjh36xz/+oWbNmsnDw0NhYWHq1KmT/P39NXv2bHXr1q00cgIAAAAowxzeY5GVlaWaNWtKkqpWrapff/1VkhQZGan9+/c7Nx0AAAAAt+BwsahXr56OHDkiSbr//vv1+uuv68yZM1q2bJnuuOMOpwcEAAAAUPY5fCjUmDFjdO7cOUnStGnT1KVLF61Zs0ZWq1UrV650dj4AAAAAbsDhYtG/f3/bv5s2baqTJ0/q559/Vu3atVW9enWnhgMAAADgHhw6FCovL08RERE6fPiwbaxSpUpq0qQJpQIAAAAoxxwqFl5eXrpy5UppZQEAAADgphyevD1y5EjNmTNHV69eLY08AAAAANyQw3Ms9uzZo+3bt2vLli2KjIyUr6+v3fJ169Y5LRwAAAAA9+BwsahSpYr69u1bGlkAAAAAuCmHi8WKFStKIwcAAAAAN+bwHAsAAAAA+C2H91hI0tq1a/Xhhx/q1KlTys3NtVu2f/9+pwQDAAAA4D4c3mMRHx+vIUOGKCgoSN9//72aN2+uatWq6fjx44qJiSmNjAAAAADKOIeLxZIlS/TGG29o0aJFslqteu6557R161aNHj1a6enppZERAAAAQBnncLE4deqUWrVqJUmqWLGiLl26JEkaMGCA3n//feemAwAAAOAWHC4WwcHBunjxoiSpdu3a+vbbbyVJJ06ckGEYzk0HAAAAwC04XCwefvhhbdiwQZI0ZMgQjRs3Tp06ddJjjz2m3r17Oz0gAAAAgLLP4bNCvfHGGyooKJAkjRw5UtWqVdOuXbvUo0cPPfXUU04PCAAAAKDsc7hYeHh4yMPj/+3oiI2NVWxsrFNDAQAAAHAvt3Qdi7S0NH333Xc6f/68be9FoYEDBzolGAAAAAD34XCx+PTTTxUXF6fMzEz5+/vLYrHYllksFooFAAAAUA45PHl7woQJevLJJ5WZmam0tDSlpqbaboVniwIAAABQvjhcLM6cOaPRo0erUqVKpZEHAAAAgBtyuFhER0dr7969pZEFAAAAgJsq0RyLwutWSFK3bt307LPP6tChQ4qMjJSXl5fduj169HBuQgAAAABlXomKRa9evYqMzZw5s8iYxWJRfn6+6VCF8vPzNX36dK1evVrJyckKCQnR4MGDNWXKFNukccMwNG3aNL355ptKS0tT69attXTpUtWtW9dpOQAAAADcXIkOhSooKCjRzZmlQpLmzJmjpUuX6rXXXtPhw4c1Z84czZ07V4sWLbKtM3fuXMXHx2vZsmVKTEyUr6+voqOjdeXKFadmAQAAAFC8W7qOxe2ya9cu9ezZU926dZMk3XXXXXr//ff13XffSbq2t2LhwoWaMmWKevbsKUl65513FBQUpPXr13PhPgAAAOA2KfHk7R07dqh+/frKyMgosiw9PV0NGjTQzp07nRquVatW2r59u44ePSpJ+uGHH/T1118rJiZGknTixAklJycrKirK9piAgAC1aNFCu3fvdmoWAAAAAMUr8R6LhQsXatiwYfL39y+yLCAgQE899ZT+9re/qV27dk4LN2nSJGVkZOjee+9VhQoVlJ+fr7/85S+Ki4uTJCUnJ0uSgoKC7B4XFBRkW3YjOTk5ysnJsd2/UVkCAAAAUHIl3mPxww8/qEuXLsUu79y5s/bt2+eUUIU+/PBDrVmzRu+9957279+vVatWad68eVq1apWp5509e7YCAgJst9DQUCclBgAAAMqnEheLlJSUIqeWvZ6np6d+/fVXp4Qq9Oyzz2rSpEmKjY1VZGSkBgwYoHHjxmn27NmSpODgYFu232YtXHYjkydPVnp6uu12+vRpp+YGAAAAypsSF4s777xT//rXv4pdfvDgQd1xxx1OCVUoOztbHh72EStUqKCCggJJUnh4uIKDg7V9+3bb8oyMDCUmJqply5bFPq+3t7f8/f3tbgAAAABuXYmLRdeuXTV16tQbnsb18uXLmjZtmh555BGnhuvevbv+8pe/6LPPPtMvv/yiTz75RAsWLFDv3r0lXbtuxtixY/Xyyy9rw4YN+vHHHzVw4ECFhITc8NobAAAAAEpHiSdvT5kyRevWrdM999yjUaNGqV69epKkn3/+WYsXL1Z+fr5eeOEFp4ZbtGiRpk6dqhEjRuj8+fMKCQnRU089pRdffNG2znPPPaesrCwNHz5caWlpatOmjRISEuTj4+PULAAAAACKZzEMwyjpyidPntTTTz+tzZs3q/BhFotF0dHRWrx4scLDw0staGnKyMhQQECA0tPTOSzqN06fPq358+crtMvj8gms6eo4AAAATnfl4nmdTnhfEyZM4KQ+v+HI52SHLpAXFhamf/7zn0pNTdWxY8dkGIbq1q2rqlWrmgoMAAAAwL3d0pW3q1atqj/84Q/OzgIAAADATZV48jYAAAAAFIdiAQAAAMA0igUAAAAA00pULJo0aaLU1FRJ0syZM5WdnV2qoQAAAAC4lxIVi8OHDysrK0uSNGPGDGVmZpZqKAAAAADupURnhWrcuLGGDBmiNm3ayDAMzZs3T5UrV77hutdfvA4AAABA+VCiYrFy5UpNmzZNGzdulMVi0aZNm+TpWfShFouFYgEAAACUQyUqFvXq1dMHH3wgSfLw8ND27dtVsyZXYQYAAABwjcMXyCsoKCiNHAAAAADc2C1defvf//63Fi5cqMOHD0uS6tevrzFjxigiIsKp4QAAAAC4B4evY7F582bVr19f3333nRo1aqRGjRopMTFRDRo00NatW0sjIwAAAIAyzuE9FpMmTdK4ceP0yiuvFBmfOHGiOnXq5LRwAAAAANyDw3ssDh8+rKFDhxYZf/LJJ3Xo0CGnhAIAAADgXhwuFjVq1NCBAweKjB84cIAzRQEAAADllMOHQg0bNkzDhw/X8ePH1apVK0nSN998ozlz5mj8+PFODwgAAACg7HO4WEydOlV+fn6aP3++Jk+eLEkKCQnR9OnTNXr0aKcHBAAAAFD2OVwsLBaLxo0bp3HjxunSpUuSJD8/P6cHAwAAAOA+buk6FoUoFAAAAAAkk8UC5Udu+kVXRwAAACgVfM5xDooFSiRl92ZXRwAAAEAZRrFAiQS1jJY1INDVMQAAAJwuN/0iX6I6gUPFIi8vT126dNGyZctUt27d0sqEMsgaECifQK5TAgAAgBtz6AJ5Xl5eOnjwYGllAQAAAOCmHL7ydv/+/bV8+fLSyAIAAADATTk8x+Lq1at6++23tW3bNjVt2lS+vr52yxcsWOC0cAAAAADcg8PF4l//+peaNGkiSTp69KjdMovF4pxUAAAAANyKw8Xi888/L40cAAAAANyYw3MsCh07dkybN2/W5cuXJUmGYTgtFAAAAAD34nCxuHDhgjp27Kh77rlHXbt21blz5yRJQ4cO1YQJE5weEAAAAEDZ53CxGDdunLy8vHTq1ClVqlTJNv7YY48pISHBqeEAAAAAuAeH51hs2bJFmzdvVq1atezG69atq5MnTzotGAAAAAD34fAei6ysLLs9FYUuXrwob29vp4QCAAAA4F4cLhZt27bVO++8Y7tvsVhUUFCguXPnqkOHDk4NBwAAAMA9OHwo1Ny5c9WxY0ft3btXubm5eu655/TTTz/p4sWL+uabb0ojIwAAAIAyzuE9Fg0bNtTRo0fVpk0b9ezZU1lZWerTp4++//57RURElEZGAAAAAGWcw3ssJCkgIEAvvPCCs7MAAAAAcFO3VCxSU1O1fPlyHT58WJJUv359DRkyRIGBgU4NBwAAAMA9OHwo1M6dO3XXXXcpPj5eqampSk1NVXx8vMLDw7Vz587SyAgAAACgjHN4j8XIkSP12GOPaenSpapQoYIkKT8/XyNGjNDIkSP1448/Oj0kAAAAgLLN4T0Wx44d04QJE2ylQpIqVKig8ePH69ixY04NBwAAAMA9OFwsmjRpYptbcb3Dhw/r/vvvd0ooAAAAAO6lRIdCHTx40Pbv0aNHa8yYMTp27JgefPBBSdK3336rxYsX65VXXimdlAAAAADKtBIVi8aNG8tiscgwDNvYc889V2S9J554Qo899pjz0gEAAABwCyUqFidOnCjtHAAAAADcWImKRVhYWGnnAAAAAODGbukCeWfPntXXX3+t8+fPq6CgwG7Z6NGjnRIMAAAAgPtwuFisXLlSTz31lKxWq6pVqyaLxWJbZrFYKBYAAABAOeRwsZg6dapefPFFTZ48WR4eDp+tFgAAAMDvkMPNIDs7W7GxsZQKAAAAADYOt4OhQ4fqo48+Ko0sAAAAANyUw4dCzZ49W4888ogSEhIUGRkpLy8vu+ULFixwWjgAAAAA7uGWisXmzZtVr149SSoyeRsAAABA+eNwsZg/f77efvttDR48uBTiAAAAAHBHDs+x8Pb2VuvWrUsjCwAAAAA35XCxGDNmjBYtWlQaWQAAAAC4KYcPhfruu++0Y8cObdy4UQ0aNCgyeXvdunVOCwcAAADAPThcLKpUqaI+ffqURhYAAAAAbsrhYrFixYrSyAEAAADAjXH5bAAAAACmObzHIjw8/KbXqzh+/LipQAAAAADcj8PFYuzYsXb38/Ly9P333yshIUHPPvuss3IBAAAAcCMOF4sxY8bccHzx4sXau3ev6UAAAAAA3I/T5ljExMTo448/dtbTAQAAAHAjTisWa9euVWBgoLOeDgAAAIAbcfhQqAceeMBu8rZhGEpOTtavv/6qJUuWODUcAAAAAPfgcLHo1auX3X0PDw/VqFFD7du317333uusXAAAAADciMPFYtq0aaWRAwAAAIAb4wJ5AAAAAEwr8R4LDw+Pm14YT5IsFouuXr1qOhQAAAAA91LiYvHJJ58Uu2z37t2Kj49XQUGBU0IBAAAAcC8lLhY9e/YsMnbkyBFNmjRJn376qeLi4jRz5kynhgMAAADgHm5pjsXZs2c1bNgwRUZG6urVqzpw4IBWrVqlsLAwZ+cDAAAA4AYcKhbp6emaOHGi6tSpo59++knbt2/Xp59+qoYNG5ZWPgAAAABuoMSHQs2dO1dz5sxRcHCw3n///RseGgUAAACgfCpxsZg0aZIqVqyoOnXqaNWqVVq1atUN11u3bp3TwgEAAABwDyUuFgMHDvyfp5sFAAAAUD6VuFisXLmyFGMAAAAAcGdceRsAAACAaWW+WJw5c0b9+/dXtWrVVLFiRUVGRmrv3r225YZh6MUXX9Qdd9yhihUrKioqSklJSS5MDAAAAJQ/ZbpYpKamqnXr1vLy8tKmTZt06NAhzZ8/X1WrVrWtM3fuXMXHx2vZsmVKTEyUr6+voqOjdeXKFRcmBwAAAMqXEs+xcIU5c+YoNDRUK1assI2Fh4fb/m0YhhYuXKgpU6bYTn/7zjvvKCgoSOvXr1dsbOxtzwwAAACUR2V6j8WGDRvUrFkzPfroo6pZs6YeeOABvfnmm7blJ06cUHJysqKiomxjAQEBatGihXbv3l3s8+bk5CgjI8PuBgAAAODWlelicfz4cS1dulR169bV5s2b9fTTT2v06NG2a2gkJydLkoKCguweFxQUZFt2I7Nnz1ZAQIDtFhoaWnobAQAAAJQDZbpYFBQUqEmTJpo1a5YeeOABDR8+XMOGDdOyZctMPe/kyZOVnp5uu50+fdpJiQEAAIDyqUwXizvuuEP169e3G7vvvvt06tQpSVJwcLAkKSUlxW6dlJQU27Ib8fb2lr+/v90NAAAAwK0r08WidevWOnLkiN3Y0aNHFRYWJunaRO7g4GBt377dtjwjI0OJiYlq2bLlbc0KAAAAlGdl+qxQ48aNU6tWrTRr1iz169dP3333nd544w298cYbkiSLxaKxY8fq5ZdfVt26dRUeHq6pU6cqJCREvXr1cm3435nc9IuujgAAAFAq+JzjHGW6WPzhD3/QJ598osmTJ2vmzJkKDw/XwoULFRcXZ1vnueeeU1ZWloYPH660tDS1adNGCQkJ8vHxcWHy34/KlSvLy8tLKbs3uzoKAABAqfHy8lLlypVdHcOtWQzDMFwdwtUyMjIUEBCg9PR05lvcQGpqqjIzM10dA0A5kZKSotWrV6t///5FzvoHAKWlcuXKdhdhxjWOfE4u03ssUDZUrVqVPzQAt11QUBCnAwcAN1KmJ28DAAAAcA8UCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKa5VbF45ZVXZLFYNHbsWNvYlStXNHLkSFWrVk2VK1dW3759lZKS4rqQAAAAQDnkNsViz549ev3119WoUSO78XHjxunTTz/VRx99pC+//FJnz55Vnz59XJQSAAAAKJ/colhkZmYqLi5Ob775pqpWrWobT09P1/Lly7VgwQI9/PDDatq0qVasWKFdu3bp22+/dWFiAAAAoHxxi2IxcuRIdevWTVFRUXbj+/btU15ent34vffeq9q1a2v37t23OyYAAABQbnm6OsD/8sEHH2j//v3as2dPkWXJycmyWq2qUqWK3XhQUJCSk5OLfc6cnBzl5OTY7mdkZDgtLwAAAFAelek9FqdPn9aYMWO0Zs0a+fj4OO15Z8+erYCAANstNDTUac8NAAAAlEdluljs27dP58+fV5MmTeTp6SlPT099+eWXio+Pl6enp4KCgpSbm6u0tDS7x6WkpCg4OLjY5508ebLS09Ntt9OnT5fylgAAAAC/b2X6UKiOHTvqxx9/tBsbMmSI7r33Xk2cOFGhoaHy8vLS9u3b1bdvX0nSkSNHdOrUKbVs2bLY5/X29pa3t3epZgcAAADKkzJdLPz8/NSwYUO7MV9fX1WrVs02PnToUI0fP16BgYHy9/fXM888o5YtW+rBBx90RWQAAACgXCrTxaIk/va3v8nDw0N9+/ZVTk6OoqOjtWTJElfHAgAAAMoVtysWX3zxhd19Hx8fLV68WIsXL3ZNIAAAAABle/I2AAAAAPdAsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZ5ujoAgN+n3NxcpaSkuDoG3FDh7w2/P7hVQUFBslqtro4BlDsUCwClIiUlRfPnz3d1DLix1atXuzoC3NSECRMUGhrq6hhAuUOxAFAqgoKCNGHCBFfHAFAOBQUFuToCUC5RLACUCqvVyjeGAACUI0zeBgAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACYRrEAAAAAYBrFAgAAAIBpFAsAAAAAplEsAAAAAJhGsQAAAABgGsUCAAAAgGkUCwAAAACmUSwAAAAAmEaxAAAAAGAaxQIAAACAaRQLAAAAAKZRLAAAAACY5unqAGWBYRiSpIyMDBcnAQAAAMqOws/HhZ+Xb4ZiIenSpUuSpNDQUBcnAQAAAMqeS5cuKSAg4KbrWIyS1I/fuYKCAp09e1Z+fn6yWCyujgMA5VpGRoZCQ0N1+vRp+fv7uzoOAJRrhmHo0qVLCgkJkYfHzWdRUCwAAGVKRkaGAgIClJ6eTrEAADfC5G0AAAAAplEsAAAAAJhGsQAAlCne3t6aNm2avL29XR0FAOAA5lgAAAAAMI09FgAAAABMo1gAAAAAMI1iAQAAAMA0igUAAAAA0ygWAAAAAEyjWAAAAAAwjWIBAAAAwDSKBQAAAADT/j9ILnhdeUwDpQAAAABJRU5ErkJggg==\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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nT3Jzc/nwww/zbX/nnXewWCy2mWgufSN8aQadSz744IPrznnp29F/fhtaXCsD9+zZ84rPN336dIB/neGqIA4dOsTBgwdp0qSJbZujo+Nlr3/hwoX5xgIADBgwgPj4+Mt+L3Dlb5O7d+/O119/zbJly7j//vvz9X4Ux/lxPe6//37279/PM888g6OjI4MGDbrux15JYGAgXbp04eOPP+bs2bOX7Y+Li7P9nJSUZJsV64033uCzzz5jx44dl62o7unpecVL8gqqf//+ODo6Mnny5Mt+b4ZhXPPyvSvp0aMHp0+fzjelbmZmJp9++ullx9r79YhI8VCPhYiYpn79+nTp0oUWLVrg5+fHtm3b+O677xg9erTtmBYtWgDw5JNP0qNHD9sHuzvuuIOuXbvy4osvcuLECZo0acJvv/3Gjz/+yFNPPWWb1rRFixYMGDCAd999l4SEBNt0s5cGJl/PN6Pe3t507tyZadOmkZOTQ+XKlfntt984fvx4Ebwrl2vSpAlDhw7lk08+ISkpiZtuuoktW7bwxRdfcOedd9K1a9cCt33x4kXmzZsH5F3+cuLECWbNmoXVauXll1+2Hde7d29eeeUVhg0bRvv27dm7dy/z58+3fft+yQMPPMCXX37JuHHj2LJlC506dSItLY2VK1fy+OOPX3HQ8Z133sncuXN54IEH8Pb25uOPPwaK5/y4Hr169aJSpUosXLiQ22+/ncDAwOt/g69ixowZdOzYkUaNGvHwww9TvXp1YmNj2bhxI6dOnbKtDzJmzBgSEhJYuXIljo6O3HbbbTz00EO89tpr9O3b11b8tWjRgm+++YZx48bRqlUrvLy8uOOOO/41w5EjR3jttdcu296sWTN69erFa6+9xoQJEzhx4gR33nknFSpU4Pjx4yxevJiRI0cyfvz4G3rNjzzyCB9++CH33nsvY8aMISQkhPnz59sugfv732JBXo+IlAAmzEQlImXApelmt27desX9N9100zWnm33ttdeM1q1bG76+voa7u7tRt25d4/XXXzeys7Ntx1y8eNF44oknjICAAMNiseSbWvTChQvG2LFjjdDQUMPZ2dmoVauW8dZbb102DWhaWpoxatQow8/Pz/Dy8jLuvPNO21Sif5/+9dJUsXFxcZe9nlOnThn9+vUzfH19DR8fH2PgwIHGmTNnrjpl7T/buNo0sFd6n64kJyfHmDx5shEREWE4OzsbYWFhxoQJE/JNV/pvz3MlV5pu1tvb27j55puNlStX5js2MzPTePrpp42QkBDD3d3d6NChg7Fx40bjpptuMm666aZ8x6anpxsvvviiLWtwcLBx1113GUePHjUMI/90s3/30UcfGYAxfvx4wzCK7/wAjFGjRv3re/X4448bgLFgwYLrem//7krTzRqGYRw9etR44IEHjODgYMPZ2dmoXLmy0bt3b+O7774zDMMwfvzxRwMw3n777XyPS0lJMapWrWo0adLE9l6kpqYa9913n+Hr62sA15x6tmrVqledJnrEiBG2477//nujY8eOhqenp+Hp6WnUrVvXGDVqlHHw4EHbMVc7h4cOHXpZjmPHjhm9evUy3N3djYCAAOPpp582vv/+ewMwNm3aZDvuaq/n0nSzCxcuzNfupXNq7ty5//q6RaRoWQxDI51EpPzZtWsXzZo1Y968eQwePNjsOFLCjR07ltmzZxMTE4OHh4fZccqUd999l7Fjx3Lq1CnbTFgiUjppjIWIlHkZGRmXbXv33XdxcHC45orXIpmZmcybN48BAwaoqCikf/4tZmZm8vHHH1OrVi0VFSJlgMZYiEiZN23aNLZv307Xrl1xcnJi6dKlLF26lJEjRxIWFmZ2PCmhzp07x8qVK/nuu+9ISEhgzJgxZkcq9fr37094eDhNmzYlOTmZefPmceDAgXyLEIpI6aXCQkTKvPbt27NixQpeffVVUlNTCQ8PZ9KkSbz44otmR5MSbP/+/QwePJjAwEDef/99mjZtanakUq9Hjx589tlnzJ8/n9zcXOrXr8/XX3/NPffcY3Y0EbEDjbEQEREREZFC0xgLEREREREpNBUWIiIiIiJSaGV+jIXVauXMmTNUqFDhuhbCEhERERGRPIZhcOHCBUJDQ3Fw+Pc+iTJfWJw5c0azvoiIiIiIFMLJkyepUqXKvx5T5guLChUqAHlvhre3t8lpRERERERKj5SUFMLCwmyfqf9NmS8sLl3+5O3trcJCRERERKQArmdIgQZvi4iIiIhIoamwEBERERGRQlNhISIiIiIihabCQkRERERECk2FhYiIiIiIFJoKCxERERERKTQVFiIiIiIiUmgqLEREREREpNBUWIiIiIiISKGpsBARERERkUJTYSEiIiIiIoWmwkJERERERArN1MIiNzeXiRMnEhERgbu7OzVq1ODVV1/FMAzbMYZh8NJLLxESEoK7uzvdu3fn8OHDJqYWEREREZF/MrWwePPNN5k5cyYffvghkZGRvPnmm0ybNo0PPvjAdsy0adN4//33mTVrFps3b8bT05MePXqQmZlpYnIREREREfk7i/H37oFi1rt3b4KCgpg9e7Zt24ABA3B3d2fevHkYhkFoaChPP/0048ePByA5OZmgoCA+//xzBg0adM3nSElJwcfHh+TkZLy9vYvstYiIiIiIlDU38lna1B6L9u3bs2rVKg4dOgTA7t27WbduHbfffjsAx48fJyYmhu7du9se4+PjQ5s2bdi4caMpmUVERERE5HJOZj75888/T0pKCnXr1sXR0ZHc3Fxef/11Bg8eDEBMTAwAQUFB+R4XFBRk2/dPWVlZZGVl2e6npKQUUXoRkZIrOjqa+Ph4u7fr7+9PeHi43dsVEZHSz9TC4ttvv2X+/PksWLCABg0asGvXLp566ilCQ0MZOnRogdqcMmUKkydPtnNSEZHSIzo6mrr16pKRnmH3tt093DkQeUDFhYiIXMbUwuKZZ57h+eeft42VaNSoEVFRUUyZMoWhQ4cSHBwMQGxsLCEhIbbHxcbG0rRp0yu2OWHCBMaNG2e7n5KSQlhYWNG9CBGREiY+Pp6M9Az6vdCPgKoBdms3LiqOxW8sJj4+XoWFiIhcxtTCIj09HQeH/MM8HB0dsVqtAERERBAcHMyqVatshURKSgqbN2/mscceu2Kbrq6uuLq6FmluEZHSIKBqACG1Q659oIiIiB2YWljccccdvP7664SHh9OgQQN27tzJ9OnTGT58OAAWi4WnnnqK1157jVq1ahEREcHEiRMJDQ3lzjvvNDO6iJRQGlsgIiJiDlMLiw8++ICJEyfy+OOPc+7cOUJDQ3nkkUd46aWXbMc8++yzpKWlMXLkSJKSkujYsSPLli3Dzc3NxOQiUhJpbIGIiIh5TC0sKlSowLvvvsu777571WMsFguvvPIKr7zySvEFE5FSSWMLREREzGNqYSEiUhQ0tkBERKT4mbpAnoiIiIiIlA3qsRARUxTFIOvIyEi7ticiIiLXT4WFiBS7ohxkDZCamlok7YqIiMjVqbAQkWJXVIOsD28+zOo5q8nMzLRbmyIiInJ9VFiIiGnsPcg6Ptr+61eIiIjI9dHgbRERERERKTQVFiIiIiIiUmgqLEREREREpNBUWIiIiIiISKGpsBARERERkUJTYSEiIiIiIoWm6WZFREykFciL5j0A8Pf3Jzw83O7tiojIlamwEBExiVYgL9r3wN3DnQORB1RciIgUExUWIiIm0QrkRfcexEXFsfiNxcTHx6uwEBEpJiosRERMphXI7f8eiIhI8dPgbRERERERKTQVFiIiIiIiUmgqLEREREREpNA0xkJEpIzJJRcC4bT1NKmnUknNSiU1O5W0nDSyc7PJzs0mx5oDgIPFAQsWnB2d8XD2wMPZA09nTyq6V6SSeyX83P3wcfXBYrGY/KpERKSkU2EhIlKKXci6wKmUU8SkxhCbFktsWixJzknwOGzO3QxHC/8cro6uVK5QGe8cb6gNaRfTCt+oiIiUOSosRERKCcMwOJd2juiUaE4mn+RkykmSMpOufHAm+Lr7Utm/Ml4uXrabq6MrLo4uODs6Y8GC1bBiNaxk5WaRkZNBek46F7IvcD7zPIkZiZzPOE9WbhbHko7ltXsfdF3WlQ77O9CjRg/61+tPXf+6xfYeiIhIyaXCQkSkhMrJzeH0hdNEJ///QiIrNyvfMRYsBHkFEeIVQpBnEEFeQcRvi2fJ1CV0e70bjeo3KlSGXGsu59LOcebCGQ6fOszB0wfJ9ctlbdRa1kat5cXfX6RRYCPubnA3gxsNJqJiRKGeT0RESi8VFiIiJcSFrAucTDmZV0iknCQmNQarYc13jIujC1UqVCHMJ4ww7zCqeFfB1ck1fztcsFsmRwdHQiqEEFIhhNDUUA4+d5Af1v7AGbcz/HzoZ1YcW8Hec3vZe24vL61+ie7Vu/NQ84foW6fvZblERKRsU2EhImKCjJwM9p7fC61gddJq4jfHcz7z/GXHebt6E+YdRphPGOHe4QR5BeFgMXdCvzDPMPo278tjrR4jMSORHw/8yIK/FrDy2EpWHFvBimMrCPIMYlSrUTza8lECPO23oraIiJRcKixERIqQYRgkZCRwMP4gO87uYPvZ7ew4u4P9cfvJNXKhFxzOOGw7PsgzKK+I8Akn3DscHzcfE9Nfm5+7H8OaDWNYs2EcP3+cOTvnMGfXHM5cOMNLf7zEG+ve4IHGD/Bcx+eoXrG62XFFRKQIqbAQkX8VHR1NfHy8XduMjIy0a3tmysnNIT49nnNp54hNi+VE0gmOJh7l6Pm827Hzx0jJSrniY/1c/Ejcl0jzZs2pH1H/ipc1lSYRFSN4tdurvHTTS3y3/zve3vg2289u55MdnzB752weaPIAL3R6gZp+Nc2OKiIiRUCFhYhcVXR0NHXr1SUjPaNI2k9NTbVre9lkQxCcsZ4h+0w2GRczyMjJIDM3k1xrLrlGLlarlVwj7+dcay6GYVyz3ayMLBgB9665F2O9QXpOOmk5aaTnpJOdm31d2cK8w2ga3JTmIc1pEdKC5iHNiTkcQ8sXWtKyc0tC/EIK+/JLDGdHZ+5tdC+DGg7iz+g/ef3P1/nt6G/M3TWXL3Z/wYhmI5jcZTIhFcrOaxYRERUWIvIv4uPjyUjPoN8L/Qioar/r5A9vPszqOavJzMws0OMNwyA+PZ6TKSfz1m5IjeVc2jkynDPgMdiUuwkOX7udGxIGh1IOXXGXg8WBAI8AAjwDCPcJp0bFGnk3v7z/RlSMwM3J7bLHxVpi7RyyZLFYLHSu2pnOVTuz6dQmXl37Kr8e/pVPd3zKgr0LeKb9M9zscbPZMUVExE5UWIjINQVUDSCktv2+XY6PvvFLq9Jz0jkQf4Cj548SlRRFWs5VFmlLA18vXwL9AvFw8sDN2Q03JzecLE44OjjiaHHEwcEBR0vez9ezonTS2SRWzVrFh+98SJP6TWyrU3s4e+Dp4omvm6/pA6pLurZV2rLkviWsj17P0789zebTm5m0ZhIfuH4Azbls9isRESl9VFiISImVeTGTvef2sj9uP1FJURj8/8uWnBycqFKhCiEV/v/6DWc3neWnt37KW7+hYeHWb/i7s0lnWXVgFe0C29E8vLnd2i2POoR3YOOIjXy3/zueX/U8x84fgz7wffz39AzoqfEXIiKlmAoLESlRDMPg9IXTbD+znb/i/uKi9aJtX4hXCHUq1SGiYgShFUJxcsj/v7A44oo7rhSAxWJhYIOB9KnThxd/eJG3t73NeffzzN87n7qV6nJbzdtK/GxYIiJyORUWIlIiGIbBkcQj/Bn9JydTTtq2B3gE0DS4KfX861HRvaKJCcXeXJ1cua/6fbx9/9s0erUR+9L3cSAh73K3zlU7065KOxwdHM2OKSIi10mFhYiYyjAMDiYcZE3UGmJSYwBwtDjSMLAhLUJaUMW7ynWNg5BSLBPaebejY72OLDm8hOjkaFYdX8Xu2N30qtWLar7VzE4oIiLXQYWFiJgm0ZrI57s/Jzo5GgBnB2dahrakXZV2VHCtYHI6KW6BnoE82ORB9sTu4bdjvxGfHs8Xu7+gcWBjbqlxC14uXmZHFBGRf6HCQkSKXSaZ0B/+yP0DkvMGYret0pb2Vdrj7uxudjwxkcVioUlwE2pXqs3vJ35n25lt7Dm3h0OJh7il+i00C26mHiwRkRJKhYWIFBvDMNh+djsrnFZA47xtTYKa0C2iG96u3uaGk+tmz5XTr9aWu7M7vWr1omlQU5YcXsLZ1LP8fOhn9sTuoXft3vh7+Nstg4iI2IephUW1atWIioq6bPvjjz/OjBkzyMzM5Omnn+brr78mKyuLHj168NFHHxEUFGRCWhEpjIT0BH48+GPewGwLcAa6hnWlc93OZkeT65SamLdS+pAhQ+zf9lVWYa/sXZmHmj/E5lObWX1iNVHJUczaNotOVTvRMayjBneLiJQgphYWW7duJTc313b/r7/+4pZbbmHgwIEAjB07liVLlrBw4UJ8fHwYPXo0/fv3Z/369WZFFpEbZBgGW89sZcWxFVy0XsTF0YW62XXZ89keKr6qWZ5Kk8zUvJXSuz7elVpNatmlzetZhd3B4kC7sHbUC6jHksNLOJJ4hD9O/MG+c/voXbs34T7hdskiIiKFY2phERAQkO/+1KlTqVGjBjfddBPJycnMnj2bBQsW0K1bNwDmzp1LvXr12LRpE23btjUjsojcgAtZF/jx4I8cPX8UgAjfCPrW6Uv0umj2WPeYnE4KqmLlinZbif1GVmH3dfPlvob3sS9uH8uOLCMuPY65u+bSIqQF3at3x83JzS6ZRESkYErMGIvs7GzmzZvHuHHjsFgsbN++nZycHLp37247pm7duoSHh7Nx40YVFiIl3JHEIyw+sJj0nHScHJzoHtGd1pVba+CtFIrFYqFhYENqVKzBimMr2Bmzk+1nt3Mw4SC317ydev71dI6JiJikxBQWP/zwA0lJSTz44IMAxMTE4OLigq+vb77jgoKCiImJuWo7WVlZZGVl2e6npKQURVwRuQqrYeX347+z/mTeJYtBnkEMqDeAAM+AazxS5Pq5O7vTp04fGgc15pdDv5CQkcDC/QupXak2PWv2LNLnjo6OJj7++ntarpe/vz/h4bqsS0RKrxJTWMyePZvbb7+d0NDQQrUzZcoUJk+ebKdUInIjUrNTWbh/oW1dipahLelRowdODiXmfzVSxlTzrcajLR/lz6g/WXdyHYcSDnEi6QQtPVvmTRJgZ9HR0dStV5eM9Ay7t+3u4c6ByAMqLkSk1CoR/9pHRUWxcuVKFi1aZNsWHBxMdnY2SUlJ+XotYmNjCQ4OvmpbEyZMYNy4cbb7KSkphIWFFUluEfn/Tiaf5Nv935KanYqLowt9avehQWADs2NJOeDk4ETXiK40DGzIz4d+5mTKSTakbICH4FDyIZrT3G7PFR8fT0Z6Bv1e6EdAVfv1wsVFxbH4jcXEx8ersBCRUqtEFBZz584lMDCQXr162ba1aNECZ2dnVq1axYABAwA4ePAg0dHRtGvX7qptubq64urqWuSZRSTPpbUplh5ZitWwEuARwD0N7qGSRyWzo0k5E+AZwLCmw9h+dju/HfmNnMo5DPlzCLtyd/HSTS/h4exhv+eqGmC3AewiImWFg9kBrFYrc+fOZejQoTg5/f86x8fHhxEjRjBu3DhWr17N9u3bGTZsGO3atdPAbZESIteay5LDS1hyeAlWw0p9//qMaDZCRYWYxmKx0DK0JXcH3A37INfI5c31b9JoZiNWHF1hdjwRkTLN9MJi5cqVREdHM3z48Mv2vfPOO/Tu3ZsBAwbQuXNngoOD810uJSLmycjJYP7e+Ww/ux2AmyNu5q76d+HqpB5DMZ+noycshOmtplPFuwrHzh/j1nm38sDiB4hLizM7nohImWR6YXHrrbdiGAa1a9e+bJ+bmxszZswgMTGRtLQ0Fi1a9K/jK0SkeMSnx/PZzs84nnQcF0cXBjUYRMfwjprmU0qcm4JvYv/j+3my9ZNYsPDVnq+oN6MeX+7+EsMwzI4nIlKmmF5YiEjpcjTxKJ/t+IzEjER8XH0Y3nQ4dfzrmB1L5KoquFbgvdvfY9NDm2gc1JiEjASG/jCUW766hSOJR8yOJyJSZqiwEJHrtuX0FubvnU9WbhZh3mE83PxhgryCzI4lcl1aV27Ntoe3MfXmqbg5ubHq+CoazWzEa2tfIyPH/tPHioiUNyViViiRkkiLYP1/VsPKksNL2HZmGwBNgprQu3ZvrU8hpY6zozPPdXyOu+rfxaNLHmXlsZVMXD2Rz3Z8xlu3vMVd9e/SJX0iIgWkTwUiV6BFsP7GDZYmLuV09mkAukd0p31Ye334klKthl8NfhvyG//76388t/I5opKjuPu7u+kU3ol3b3uX5iH2W/tCRKS8UGEhcgVaBCvPybSTMAJOZ5/G2cGZ/vX6U9e/rtmxROzCYrFwX6P7uLPunby1/i3eXP8mf0b/SctPWjKs6TBev/l1gr00YYiIyPVSYSHyL8rzIlhrTqxh6J9DIQA8HTwZ3HQwIRXK53shZZuHswcvd3mZ4c2G8/yq51mwdwFzds3h2/3fMr7deMa2G4u3q7fZMUVESjwN3haRy8zdOZdbvrqF5JxkOA39/PupqJAyL8wnjPn957Nh+AZaV25NanYqk9ZMovp71Xl7w9sa4C0icg3qsZBSrygGWUdGRtq1vdLCaliZsHIC0zZMA6B7SHdWvr4Sj5YeJicTKT7twtqxccRGvt//PRNXT+RgwkHGrxjP9E3TebDag/pKTkTkKlRYSKlWlIOsAVJTU4uk3ZIoNTuVIYuG8OPBHwGY2Hkifbz7sDJnpcnJRIqfg8WBgQ0G0q9eP77a/RWT1kwiOjmaN/a+AaPhUPohgowgHCyqMkRELlFhIaVaUQ2yPrz5MKvnrCYzM9NubZZkp1JOccf/7mBXzC5cHF2Y02cOgxsPZseOHWZHEzGVk4MTw5oN475G9/HJ9k+Y9PskEv0S+SP5D3Zt2UX7Ku1pGtwUZ0dns6OKiJhOhYWUCfYeZB0fbf/1K0qqrae30vfrvpxNPUuARwA/DPqB9mHtzY4lUqK4OrnyRJsnaGZpRqenO+F2qxtJmUn8euRX1kStoU2VNrQKbYWbk5vZUUVETKM+XJFybO7OuXSa24mzqWdpENCALQ9vUVEh8i88nDxgHdwXeB+317wdH1cf0nLS+P3477y76V1WHlvJhawLZscUETGFeixEyqGsi1k8tewpZm2fBcAdte9gXv95mlLzGuw9qL+8ThJQFjhZnGhduTUtQlrwV9xfrI9eT1x6HOtPrmfjqY3U9a9L69DWhPuEazFJESk3VFiIlDOnU05z18K72HRqExYsTO4ymRc7v6hBqP8iNTFvEP+QIUOKpv1yNElAWePo4EiToCY0DmzMoYRDbDi5geiUaPbH7Wd/3H4CPQNpFdqKxkGNcXF0MTuuiEiRUmEhUo6sjVrLwIUDOZd2Dl83X+b3n0/PWj3NjlXiZabmDeLv+nhXajWpZbd2y9skAWWZxWKhjn8d6vjXISY1hq1ntrI3di/n0s6x5PASVh5bSZPgJjQLbqbVvEWkzFJhIVIOGIbBB1s+4Onfnuai9SKNAhux+J7F1PCrYXa0UqVi5YqaJECuKdgrmDtq38Et1W9hV8wutp7ZSmJGIltOb2HL6S0EeQbRJDivl8PTxdPsuCIidqPCQqSMS8xI5OGfH2ZR5CKAvGkze3+iDzQiRczNyY22VdrSpnIbjp4/ys6YnRyMP0hsWiy/Hf2NlcdWUtOvJk2DmlLBqGB2XBGRQlNhIVKG/XHiD4YsGsLpC6dxdnDmrVve4sk2T2owqUgxslgs1PSrSU2/mmTkZPDXub/YHbub0xdOcyjhEIcSDuFicYG+8PW2r8mx5uDsYL91MbKysnB1dbVbe5f4+/sTHh5u93ZFpPRSYSFSBuXk5jDpj0lMWTcFA4NafrX434D/0SK0hdnRRMo1d2d3WlVuRavKrYhLi2N37G72xO7hQvYFaAZvnX2Ltxa+BZHAPuAEYC3kk1oAo7DJL+fu4c6ByAMqLkTERoWFSBlzNPEo9y26jy2ntwAwotkI3r3tXbxcvExOJiJ/F+AZQPfq3ekW0Y01v69h7Y61OLd0JscjB1oALcDNwY1qrtWIcIsg1DUUR4vjDT3HpQkC7D3xQFxUHIvfWEx8fLwKCxGxUWEhUkYYhsFXe75i9K+juZB9AR9XHz654xPubnC32dFE5F84WBzwN/zhV+jVvhcV6ldgX9w+IuMiybiYwYGMAxzIOICroyt1KtWhXkA9alSsgbPjtS+XujRBgL0nHhARuRIVFiJlwMnkkzy25DGWHF4CQMfwjszrN4+qvlVNTiYiN8LB4kD1itWpXrE6PWv25ETSCSLjIzkQf4C0nDT2nNvDnnN7cHZwpqZfTeoF1KO2X21cnew/hkJE5EapsBApxayGlU+2f8KzK57lQvYFXBxdeKnzSzzX8TmcHPTnLVKaV0t3dHCkhl8NavjVoGetnpxKOUVkXCSR8ZEkZyUTGZ/3s6PFkeoVq1PPvx51/Ovg4exRbBlFRP5OnzxESqkjiUd46KeHWBO1BoC2Vdoyu89s6gfUNzmZiPnK2mrpDhYHwn3CCfcJ59Yat3I29WxeYREXSUJGAocTD3M48TCWQxaq+lalnn896vrXLdaMIiIqLERKmVxrLu9uepeJqyeScTEDD2cP3uj2BqNbj8bR4cYGdoqUVWV5tXSLxUJohVBCK4Ryc8TNxKXF2XovYlJjOJF0ghNJJ1h6ZCl+jn7QHtKMNNPyikj5ocJCpBTZdGoTjy95nJ0xOwG4OeJmPrnjE6pXrG5yMpGSqTyslh7gGUCAZwCdq3bmfMZ525iMkyknSXRIhFth+cXl7Nq2i3oB9Wgc2JiK7hXNji0iZZAKC5FSID49nudXPs/snbMB8HXz5b+3/JfhzYZrsTsRsanoXpH2Ye1pH9aeC1kXWLV+FbujdmOpbiE2LZbYtFj+OPEHVX2q0iSoCfUD6hdq4HdRjDnRwnsipZcKC5ESzGpY+WzHZ0xYNYHEjEQAHmz6IG92f5NAz0CT04lISVbBtQI1rDXY/eVuer7WE8cajvx17i+OnT9GVHIUUclRLD2ylHr+9WgS3IRqvtVwsDhcV9tFOYZFC++JlF4qLERKqO1ntvP4r4/bFrprHNSYj3p+RIfwDiYnE5HSxtXiSqPgRjQLbkZyZjJ7zu1hd8xuEjISbFPY+rr50jq0Nc1CmuHm5Pav7RXVGBYtvCdSuqmwEClhzmec58XfX2TWtlkYGFRwqcCrXV9lVOtRmkJWRArNx82HTuGd6BjWkdMXTrMrZhf74vaRlJnEb8d+Y/WJ1TQNbkrryq3x9/D/17a08J6I/J0+pYiUEIZh8MXuL3h2xbPEpccBMLjRYN665S1CKugfbhGxL4vFQhXvKlTxrkKPGj3Yc24Pm09tJi49jq1ntrL1zFZq+tWkTeU21KhYQ+O5ROSaVFiIlAAH4g/wyC+PsDZqLQD1A+ozo+cMulTrYm4wESkXnB2daRHSgubBzTmedJzNpzdzKOEQRxKPcCTxCMFewXSu2pm6leqqwBCRq1JhIWKirItZTFk3hSnrppCdm42HsweTbprEU22fwtnR2ex4IlLOWCwWqlesTvWK1UnMSGTL6S3sOLuDmNQYvt33LUGeQdxU7SYMDLOjikgJpMJCxCRrTqzhkV8e4WDCQQB61erFjJ4zqOpb1eRkIiLg5+7HbTVvo3PVzmw6tYnNpzcTmxbLt/u+zVt4T2OrReQfVFiIFDd3eGX3K/wY/SMAwV7BvHfbewysP1CXGIhIiePh7EG3iG60q9KOjac2sunUJhJJhOGw4eIGQtNDqeRRyeyYIlICXN+E1SJiF1GZUTAKW1HxSItHiBwVyd0N7lZRISIlmruzO90iuvFE6yeIyI0AK8QYMczcNpNVx1aRnZttdkQRMZkKC5FikHUxi58O/sTy88vBCyK8Ivhz2J/M6j0LXzdfs+OJiFy3Cq4VaGZtBjMgyBJErpHLupPr+HDLh0TG238lbhEpPUwvLE6fPs2QIUOoVKkS7u7uNGrUiG3bttn2G4bBSy+9REhICO7u7nTv3p3Dhw+bmFjkxpxOOc2s7bPYGbMzb8MGmN95Ph3DO5obTESkMBKgvWN7BjUYhK+bLxeyL/Dtvm/5dt+3pGanmp1ORExgamFx/vx5OnTogLOzM0uXLmX//v28/fbbVKxY0XbMtGnTeP/995k1axabN2/G09OTHj16kJmZaWJykWszDIPNpzYzZ9cckjKT8HH1obdfb/gNXB1dzY4nIlJoFouFOv51GNVqFB3DO+JgcSAyPpIZW2ewK2YXhqHZo0TKE1MHb7/55puEhYUxd+5c27aIiAjbz4Zh8O677/Kf//yHvn37AvDll18SFBTEDz/8wKBBg4o9s8j1yLyYyU8Hf7JdFlDfvz531LmD88fOm5xMRMT+nBycuDniZhoENOCngz9xNvUsPx78kUMJh+hduzcezh5mRxSRYmBqj8VPP/1Ey5YtGThwIIGBgTRr1oxPP/3Utv/48ePExMTQvXt32zYfHx/atGnDxo0bzYgsck0J6Ql8tuMzIuMjcbA4cFvN27ir/l24ObmZHU1EpEgFewXzUPOH6BbRzdZ7MXPbTI4kHjE7mogUA1MLi2PHjjFz5kxq1arF8uXLeeyxx3jyySf54osvAIiJiQEgKCgo3+OCgoJs+/4pKyuLlJSUfDeR4nL8/HE+2/kZCRkJeLt6M7zpcNpUbqMZn0Sk3HCwONApvBMPNXsIfw9/UrNTmb93PquOrcJqWM2OJyJFyNTCwmq10rx5c9544w2aNWvGyJEjefjhh5k1a1aB25wyZQo+Pj62W1hYmB0Ti1zd9rPbmbd3HpkXM6lcoTIPN3+Yyt6VzY4lImKKkAohjGw+kpahLQFYd3IdX+7+kgtZF0xOJiJFxdTCIiQkhPr16+fbVq9ePaKjowEIDg4GIDY2Nt8xsbGxtn3/NGHCBJKTk223kydPFkFykf/PMAzWRq3ll0O/YDWsNApsxINNH8TLxcvsaCIipnJ2dKZXrV4MqDcAF0cXopKj+Hj7x0QlRZkdTUSKgKmFRYcOHTh48GC+bYcOHaJq1apA3kDu4OBgVq1aZdufkpLC5s2badeu3RXbdHV1xdvbO99NpKgYhsFvR39j9YnVAHQO70y/uv1wctCi9iIilzQMbMjDzR8m0DOQtJw0vtzzJdvPbjc7lojYmamFxdixY9m0aRNvvPEGR44cYcGCBXzyySeMGjUKyJvG7qmnnuK1117jp59+Yu/evTzwwAOEhoZy5513mhldBKth5aeDP7Hp9CYAetToQdeIrhpPISJyBf4e/oxoNoL6AfWxGlZ+OfQLvx7+VeMuRMoQU79WbdWqFYsXL2bChAm88sorRERE8O677zJ48GDbMc8++yxpaWmMHDmSpKQkOnbsyLJly3Bz0ww7Yh7DMPjx4I/sid2DBQt96vShaXDT6358ZKT9V6f19/cnPDzc7u2KiNiLi6MLd9W7iz89/2T1idVsPbOVxIxEBtYfiKuT1vcRKe1Mv16jd+/e9O7d+6r7LRYLr7zyCq+88koxphK5OsMw+OXwL7aiYmD9gdQLqHddj01NzFuNdsiQIXbP5e7hzoHIAyouRKREs1gsdK7amUDPQBZFLuLo+aN8vvtz7mt4n9nRRKSQTC8sREoTwzBYfnQ5O87uwIKF/vX6X3dRAZCZmrdifNfHu1KrSS275YqLimPxG4uJj49XYSEipUJd/7o82PRBFuxdQExqDLN3zubWCreaHUtECkGFhcgNWBO1hs2nNwPQp04fGgY2LFA7FStXJKR2iD2jiYiUOqEVQhnRbATz984nISOBn7J/As3SLVJqmTp4W6Q02RWzizVRawDoWbPnDY2pEBGRK6voXpHhzYZTpUIVsowseAC2xW8zO5aIFIB6LESuw/Hzx/n50M8AdAzvSKvKrUxOJCJSdng4e3B/k/v5csuXnOY0ozeNJj03nc5Bne32HJrgQqToqbAQuYa4tDi+2fcNVsNKw4CGdKvWzexIIiJljoujCx3pyDcHviGnbg5jN46F7wA7TaKnCS5Eip4KC5F/kW1ks+CvBWTlZhHmHUbfun21ToWISBHJScuBbyHw2UDOuZ3Dco+F7hW7E+EWUah2NcGFSPFQYSFyNRbYmruVpItJ+Lr5MqjhIK2oLSJS1KzQwasDR/yOsPfcXlYlreKu+ndRz//6Z+ATEXPoU5LI1XSGWCMWJwcn7mlwDx7OHmYnuiZ7L7xXFAv5iYhci8Vi4c66d2Jg8Ne5v/hu/3fcXf9u6vjXMTuaiPwLFRYiVxBjiYEueT/3qtWLYK9gU/NcS1EuvAeQmppaJO2KiFyNg8WBfnX7AfDXub9YuH8h9zW6j+oVq5ucTESuRoWFyD8kZyazzXEbWCDCIaJUTCtbVAvvHd58mNVzVpOZmWm3NkVErtel4uKi9SIH4g/w9V9f80CTB6jiXcXsaCJyBSosRP7GMAx+OPAD2ZZsOA2NqzY2O9INsffCe/HR8XZrS0SkIBwsDgyoN4D//fU/jp0/xvy983mwyYMEeQWZHU1E/kEL5In8zcZTGzmRfAJHwxG+B0eLo9mRRETKvUtj3ap4VyHzYibz9s4jKTPJ7Fgi8g8qLET+T0xqDKuOrwKgcW5jSDQ5kIiI2Lg4ujC40WACPQNJzU5l3p55pOekmx1LRP5GhYUIkJObw6LIRVgNK3Ur1aWaUc3sSCIi8g9uTm4MbjQYb1dvEjIS+N9f/yMnN8fsWCLyf1RYiACrT6wmLj0OLxcv7qhzBxa0CJ6ISEnk7erNkEZDcHNy41TKKb6P/B6rYTU7loigwkKE0ymn2XRqEwB31L6jVKxXISJSngV4BjCowSAcLY4cTDjIiqMrzI4kIqiwkHIu15rLT4d+wsCgUWAjaleqbXYkERG5DlV9q9rWudh0ehPbzmwzOZGIqLCQcm39yfWcSzuHu5M7PWr0MDuOiIjcgAaBDeharSsAvx7+lWPnj5mcSKR8U2Eh5VZ8ejxro9YCcFvN2/B08TQ5kYiI3KhO4Z1oHNQYA4Nv931LXFqc2ZFEyi0VFlIuGYbBL4d+IdfIpWbFmjQKbGR2JBERKQCLxcIdte8g3DucrNwsvt73NZkXM82OJVIuqbCQcumvc38RlRyFk4MTvWr3wmLRLFAiIqWVk4MTdze4Gx9XHxIzEjVTlIhJVFhIuZN1MYvfjv0G5HWh+7r5mhtIREQKzdPFk3sa3IOTgxNHEo/w+/HfzY4kUu6osJByZ230WlKzU6noVpH2Ye3NjiMiInYSUiGEPnX6AHmTc/x17i+TE4mULyospFyJT4+3rVnRo0YPnBycTE4kIiL21Ciwke1Lo58O/kR8erzJiUTKDxUWUm4YhsHyI8uxGlZq+tXUmhUiImXUzRE3E+EbQY41h2/3fctF46LZkUTKBRUWUm4cSTzCkfNHcLQ4cluN2zRgW0SkjHKwONC/Xn+8XLyIS49jXfI6syOJlAsqLKRcsBpWVh5fCUDryq2p5FHJ5EQiIlKUvFy8GFBvABYsHMo4BE3NTiRS9qmwkHJhd8xuzqWdw83JjU7hncyOIyIixaCabzXbytz0gsMph80NJFLGqbCQMi8nN4fVJ1YDedPLuju7m5xIRESKS8fwjoS5hoEzPLftOS5kXTA7kkiZpcJCyrxNpzZxIfsCvm6+tK7c2uw4IiJSjCwWC119u0IyRKVFMfKXkRiGYXYskTJJhYWUaWnZaaw7mTdor1u1bppeVkSkHHJzcIPvwNHiyNd/fc3H2z82O5JImaTCQsq0P6P/JDs3mxCvEBoGNjQ7joiImOUkPFHvCQDGLBvDzrM7TQ4kUvaosJAyKyUrhW1ntgF5c5prelkRkfJtSPUh9K3Tl+zcbAYvGkxGTobZkUTKFBUWUmb9Gf0nuUYu4T7hVK9Y3ew4IiJiMovFwmd9PiPYK5jI+EieW/mc2ZFEyhQVFlImJWUmsePsDiBvbIV6K0REBMDfw5/P+34OwAdbPmD5keXmBhIpQ1RYSJm0JmoNVsNKdd/qVPWtanYcEREpQXrU7MHoVqMBGPbjMBLSE0xOJFI2qLCQMichPYHdMbsB6BrR1eQ0IiJSEr15y5vU86/H2dSzmoJWxE5UWEiZszZqLQYGtfxqUcW7itlxRESkBPJw9mBe/3k4OTixKHIRX+z+wuxIIqWeqYXFpEmTsFgs+W5169a17c/MzGTUqFFUqlQJLy8vBgwYQGxsrImJpaRLzEhk77m9AHSp1sXcMCIiUqI1D2nOq11fBeCJpU9w7PwxkxOJlG6m91g0aNCAs2fP2m7r1q2z7Rs7diw///wzCxcuZM2aNZw5c4b+/fubmFZKunXR62y9FaEVQs2OIyIiJdwz7Z+hU3gnUrNTeWDxA+Rac82OJFJqmV5YODk5ERwcbLv5+/sDkJyczOzZs5k+fTrdunWjRYsWzJ07lw0bNrBp0yaTU0tJlJyZzO7YvLEVncI7mZxGRERKA0cHR77s9yUVXCqw/uR63lz/ptmRREotJ7MDHD58mNDQUNzc3GjXrh1TpkwhPDyc7du3k5OTQ/fu3W3H1q1bl/DwcDZu3Ejbtm2v2F5WVhZZWVm2+ykpKUX+GqRkWH9yPVbDSoRvBGE+YWbHERGREiYyMvKq+8bXH8/Lu17mpdUvUSO3BrW8a11Xm/7+/oSHh9srokipZmph0aZNGz7//HPq1KnD2bNnmTx5Mp06deKvv/4iJiYGFxcXfH198z0mKCiImJiYq7Y5ZcoUJk+eXMTJpaRJz01nR1zeuhXqrRARkb9LTUwFYMiQIf9+4D2QWy+XQQsGwWzAeu223T3cORB5QMWFCCYXFrfffrvt58aNG9OmTRuqVq3Kt99+i7u7e4HanDBhAuPGjbPdT0lJISxM316XdXvS9pBr5BLmHUY132pmxxERkRIkMzUTgK6Pd6VWk6v3RKTnpvNt3LdkV86mzVttaOLV5F/bjYuKY/Ebi4mPj1dhIUIJuBTq73x9falduzZHjhzhlltuITs7m6SkpHy9FrGxsQQHB1+1DVdXV1xdXYshrZQY7rA/fT+Q11uhVbZFRORKKlauSEjtkH895raKt/HTwZ/YnradVnVbUcmjUjGlEyn9TB+8/XepqakcPXqUkJAQWrRogbOzM6tWrbLtP3jwINHR0bRr187ElFLitIKLxkWCvYKp6VfT7DQiIlKKNQ1qSo2KNbhovchPh37SwnkiN8DUwmL8+PGsWbOGEydOsGHDBvr164ejoyP33nsvPj4+jBgxgnHjxrF69Wq2b9/OsGHDaNeu3VUHbkv5k5mbCW3yfu4Q1kG9FSIiUigWi4XetXvj7OBMdHI0285sMzuSSKlRoMLi2DH7LCBz6tQp7r33XurUqcPdd99NpUqV2LRpEwEBAQC888479O7dmwEDBtC5c2eCg4NZtGiRXZ5byoafT/4MnlDBsQL1A+qbHUdERMoAXzdfbq5+MwArj68kKTPJ3EAipUSBxljUrFmTm266iREjRnDXXXfh5uZWoCf/+uuv/3W/m5sbM2bMYMaMGQVqX8q2XGsuXx39CoBGno1wsJSoK/tERKQUax3amn3n9nEy5SS/HPqFwY0Gq1dc5BoK9Elsx44dNG7cmHHjxhEcHMwjjzzCli1b7J1N5F8tilzE6fTTkA513OuYHUdERMoQi8VCnzp9cLQ4cvT8UdsCrCJydQUqLJo2bcp7773HmTNnmDNnDmfPnqVjx440bNiQ6dOnExcXZ++cIvkYhsG0DdPy7mwBZwdncwOJiEiZ4+/hT5dqXQBYfnQ5qdmp5gYSKeEKde2Ik5MT/fv3Z+HChbz55pscOXKE8ePHExYWxgMPPMDZs2ftlVMknzVRa9h2ZhuuDq6gzjIRESki7cPaE+IVQubFTJYdWWZ2HJESrVCFxbZt23j88ccJCQlh+vTpjB8/nqNHj7JixQrOnDlD37597ZVTJJ93Nr0DQO+w3pBuchgRESmzHCwO9KnTBwsW9sXt42jiUbMjiZRYBSospk+fTqNGjWjfvj1nzpzhyy+/JCoqitdee42IiAg6derE559/zo4dO+ydV4SjiUf5+eDPANwbca/JaUREpKwL9gqmVeVWAPx65FcuWi+anEikZCpQYTFz5kzuu+8+oqKi+OGHH+jduzcODvmbCgwMZPbs2XYJKfJ3H275EAODHjV6EFEhwuw4IiJSDnSt1hUvFy8SMxLZcHKD2XFESqQCTTd7+PDhax7j4uLC0KFDC9K8yFVdyLrAnF1zAHiq7VOQYm4eEREpH9yc3Li1xq0silzEn9F/0iiwkdmRREqcAvVYzJ07l4ULF162feHChXzxxReFDiVyNZ/v+pyUrBTqVKrDrTVuNTuOiIiUIw0DGhLhG8FF60WWHlmKYRhmRxIpUQpUWEyZMgV/f//LtgcGBvLGG28UOpTIlVgNK+9veR+AJ9s8qQXxRESkWFksFnrW6omDxYHDiYeJyooyO5JIiVKgT2bR0dFERFx+bXvVqlWJjo4udCiRK/n18K8cSTyCj6sPDzR5wOw4IiJSDvl7+NO+SnsANqRsAC2jJGJToMIiMDCQPXv2XLZ99+7dVKpUqdChRK7kvc3vAfBQ84fwcvEyOY2IiJRXnat2xsfVh9TcVOhsdhqRkqNAhcW9997Lk08+yerVq8nNzSU3N5fff/+dMWPGMGjQIHtnFGHfuX2sPLYSB4sDo1uPNjuOiIiUY86Oztxe8/a8O+3h+IXj5gYSKSEKVFi8+uqrtGnThptvvhl3d3fc3d259dZb6datm8ZYSJF4f3Pe2Io7695JNd9q5oYREZFyr45/HcJdw8ERpu6dqoHcIhSwsHBxceGbb77hwIEDzJ8/n0WLFnH06FHmzJmDi4uLvTNKOZeQnsBXe74CYEybMSanERERydPeuz3kwLaEbSzcf/lsmSLlTYHWsbikdu3a1K5d215ZRK7o0x2fknExg6bBTekU3snsOCIiIgB4O3nDOqArPLviWfrU6YObk5vZsURMU6DCIjc3l88//5xVq1Zx7tw5rFZrvv2///67XcKJ5OTmMGPrDCCvt8JisZicSERE5G82QNDtQUQlR/HOxneY0GmC2YlETFOgS6HGjBnDmDFjyM3NpWHDhjRp0iTfTcReFh9YzKmUUwR4BDCooSYGEBGREiYHRtfLm1TkjXVvcPbCWZMDiZinQD0WX3/9Nd9++y09e/a0dx6RfC5NMftoy0fVvSwiIiXSbZVv45dzv7D59Gb+8/t/mN13ttmRRExR4MHbNWvWtHcWkXx2xexiw8kNODk48VjLx8yOIyIickUOFgfe6fEOAHN3zWXn2Z0mJxIxR4EKi6effpr33ntPU6tJkZq5dSYAA+oNIKRCiMlpRERErq5dWDvubXgvBgZjl4/VZyQplwp0KdS6detYvXo1S5cupUGDBjg751/PftGiRXYJJ+VXcmYy8/bOA1BvhYiIlApTu09l8YHFrIlaw+IDi+lfr7/ZkUSKVYF6LHx9fenXrx833XQT/v7++Pj45LuJFNZXe74iPSed+gH16Vy1s9lxRERErincJ5xn2j8DwDMrniHrYpbJiUSKV4F6LObOnWvvHCI2hmEwc1veZVCPtXxMU8yKiEip8WyHZ/lsx2ccO3+M9ze/zzMdnjE7kkixKVCPBcDFixdZuXIlH3/8MRcuXADgzJkzpKam2i2clE9ro9ayP24/Hs4e3N/4frPjiIiIXDcvFy+m3DwFgFfXvsq5tHMmJxIpPgUqLKKiomjUqBF9+/Zl1KhRxMXFAfDmm28yfvx4uwaU8udSb8XgRoPxcdOldSIiUrrc3+R+WoS04EL2BV5a/ZLZcUSKTYEXyGvZsiXnz5/H3d3dtr1fv36sWrXKbuGk/IlJjWFRZN7gfw3aFhGR0sjB4sC7t70LwGc7PuNg/EFzA4kUkwIVFn/++Sf/+c9/cHFxybe9WrVqnD592i7BpHyavWM2OdYc2lZpS7OQZmbHERERKZCO4R3pU6cPuUYuL/7+otlxRIpFgQoLq9VKbm7uZdtPnTpFhQoVCh1Kyqdcay6f7PgEUG+FiIiUfq93ex0LFr6P/J6tp7eaHUekyBWosLj11lt59913bfctFgupqam8/PLL9OzZ017ZpJz59fCvRCdH4+fux90N7jY7joiISKE0DGzIA00eAOD5Vc9r0Twp8wpUWLz99tusX7+e+vXrk5mZyX333We7DOrNN9+0d0YpJy4N2h7edDhuTm4mpxERESm8yV0m4+Lowu/Hf2fFsRVmxxEpUgUqLKpUqcLu3bt54YUXGDt2LM2aNWPq1Kns3LmTwMBAe2eUcuDY+WMsO7IMgEdaPmJyGhEREfuo6luVUa1GATBh1QSshtXkRCJFp0AL5AE4OTkxZMgQe2aRcuzjbR9jYHBrjVup6VfT7DgiIiJ280KnF/hsx2fsOLuDhfsWck/De8yOJFIkClRYfPnll/+6/4EHHihQGCmfMi9mMmfXHECDtkVEpOzx9/DnmfbP8NIfL/Gf1f+hf73+ODs6mx1LxO4KVFiMGTMm3/2cnBzS09NxcXHBw8NDhYXckO/2f0d8ejxVvKvQu3Zvs+OIiIjY3dh2Y/lw64ccSTzC7J2zebTlo2ZHErG7Ao2xOH/+fL5bamoqBw8epGPHjvzvf/+zd0Yp4z7e/jEAI5uPxMmhwFfniYiIlFheLl5M7DwRgMlrJpOWnWZyIhH7s9unuFq1ajF16lSGDBnCgQMH7NWslHH74/azLnodjhZHhjcbbnYcERGRIjOyxUje2fQOx84f473N7/FCpxeuemx0dDTx8fF2z+Dv7094eLjd2xUBOxYWkDeg+8yZM/ZsUsq4T7d/CkDv2r2p7F3Z5DQiIiJFx8XRhVe7vsrgRYN5c/2bPNLiESp5VLrsuOjoaOrWq0tGeobdM7h7uHMg8oCKCykSBSosfvrpp3z3DcPg7NmzfPjhh3To0KFAQaZOncqECRMYM2aMbfG9zMxMnn76ab7++muysrLo0aMHH330EUFBQQV6DilZMi9m8sXuL4C8b3FERETKukENBzFt/TR2x+7mrQ1vMbX71MuOiY+PJyM9g34v9COgaoDdnjsuKo7FbywmPj5ehYUUiQIVFnfeeWe++xaLhYCAALp168bbb799w+1t3bqVjz/+mMaNG+fbPnbsWJYsWcLChQvx8fFh9OjR9O/fn/Xr1xcktpQw3+//nvOZ5wnzDqNHjR5mxxERESlyDhYHXu36Kn2+7sOHWz7k6XZPE+B55eIhoGoAIbVDijmhSMEVaPC21WrNd8vNzSUmJoYFCxYQEnJjfwCpqakMHjyYTz/9lIoVK9q2JycnM3v2bKZPn063bt1o0aIFc+fOZcOGDWzatKkgsaWE+WTHJwA81PwhHB0cTU4jIiJSPHrX7k3L0Jak5aTx1oa3zI4jYjemT8EzatQoevXqRffu3Xnttdds27dv305OTg7du3e3batbty7h4eFs3LiRtm3bXrG9rKwssrKybPdTUlKKLrzcsEuD0Y5fOM7aqLU44EArp1bs2LGjQO1FRkbaOaGIiEjRslgsTLppEr3/15sZW2cwvv14Aj0DzY4lUmgFKizGjRt33cdOnz79qvu+/vprduzYwdatWy/bFxMTg4uLC76+vvm2BwUFERMTc9U2p0yZwuTJk687nxSffIPRbgXag/WglZ6Teha67dTU1MIHFBERKSY9a/WkdeXWbDm9hWnrp/HfW/9rdiSRQitQYbFz50527txJTk4OderUAeDQoUM4OjrSvHlz23EWi+WqbZw8eZIxY8awYsUK3NzcChLjiiZMmJCv8ElJSSEsLMxu7UvBXRqM1ueFPix3XU6WkUWPtj2o2qVqgds8vPkwq+esJjMz045JRUREitalXoueC3ry0daPGN9+PMFewWbHEimUAhUWd9xxBxUqVOCLL76wjYs4f/48w4YNo1OnTjz99NPXbGP79u2cO3cuXyGSm5vL2rVr+fDDD1m+fDnZ2dkkJSXl67WIjY0lOPjqf3iurq64uroW5GVJMUkNTCUrKQtvV29aN2qNg6VAQ30AiI+2/xzfIiIixeG2mrfRpnIbNp/ezLT105je4+pXeYiUBgX6RPf2228zZcqUfIOtK1asyGuvvXbds0LdfPPN7N27l127dtluLVu2ZPDgwbafnZ2dWbVqle0xBw8eJDo6mnbt2hUktpQQkel54yKaBTcrVFEhIiJSmlksFiZ3ybt8e+a2mZy9cNbkRCKFU6Aei5SUFOLi4i7bHhcXx4ULF66rjQoVKtCwYcN82zw9PalUqZJt+4gRIxg3bhx+fn54e3vzxBNP0K5du6sO3JZSoBKczT6LBQvNgpuZnUZERMRUt9a4lXZV2rHx1EamrZ/GO7e9Y3YkkQIr0NfF/fr1Y9iwYSxatIhTp05x6tQpvv/+e0aMGEH//v3tFu6dd96hd+/eDBgwgM6dOxMcHMyiRYvs1r6Y4P+ufKvlVwsfNx9zs4iIiJjMYrEwqcskAGZtn6VeCynVCtRjMWvWLMaPH899991HTk5OXkNOTowYMYK33ir4fMx//PFHvvtubm7MmDGDGTNmFLhNKTmyc7Ohad7PzUOa/+uxIiIi5cUt1W+hfVh7NpzcwNR1UxkaNNTsSCIFUqAeCw8PDz766CMSEhJsM0QlJiby0Ucf4enpae+MUkb8EfMHeIKngye1KtUyO46IiEiJ8PexFh9v/5hzGedMTiRSMIUaOXv27FnOnj1LrVq18PT0xDAMe+WSMmhRdN5lbHU86mjQtoiIyN/cHHEzHcM7kpWbxedHPjc7jkiBFOhSqISEBO6++25Wr16NxWLh8OHDVK9enREjRlCxYsXrnhlKyo/DCYfZGr8VDKjrUdfsOCIiInYTGRlpl3YGVx7Muuh1fH/ie6hglyZFilWBCouxY8fi7OxMdHQ09erVs22/5557GDdunAoLucxnOz7L++EweIV6mRtGRETEDlITUwEYMmSI/RodBherXoR2kJqaar92RYpBgQqL3377jeXLl1OlSpV822vVqkVUVJRdgknZkZ2bzdxdc/PubAduMjWOiIiIXWSmZgLQ9fGu1Gpin7GD0ZnRLDu/DFpCckayXdoUKS4FKizS0tLw8PC4bHtiYqJWvZbL/HjgR+LS4/B39Sf+sFbKFhGRsqVi5YqE1A6xS1vBRjCb1mwiySWJo9ajtKSlXdoVKQ4FGkHbqVMnvvzyS9t9i8WC1Wpl2rRpdO3a1W7hpGz4ZMcnAPQN7wtWk8OIiIiUYBaLhTq5dQA4aj1K1sUskxOJXL8C9VhMmzaNm2++mW3btpGdnc2zzz7Lvn37SExMZP369fbOKKXY0cSjrDy2EgsW7gy/k9nMNjuSiIhIiRZqhEIc5ATksPXMVjqGdzQ7ksh1KVCPRcOGDTl06BAdO3akb9++pKWl0b9/f3bu3EmNGjXsnVFKsUuDtnvU7EGoR6jJaUREREo+CxZYl/fzxlMbycnNMTeQyHW64R6LnJwcbrvtNmbNmsWLL75YFJmkjMjOzWbOrjkAjGw+EjJMDiQiIlJa7AWPfh6k56SzI2YHbSq3MTuRyDXdcI+Fs7Mze/bsKYosUsb8fPBnzqWdI9grmN61e5sdR0REpPSwQm2H2gBsOLmBXGuuyYFErq1Al0INGTKE2bN1rbz8u4+3fwzAsKbDcHZ0NjmNiIhI6VLVoSpeLl6kZKWwJ1Zf6krJV6DB2xcvXmTOnDmsXLmSFi1a4OnpmW//9OnT7RJOSq9j54+x4tgKLFh4uPnDZscREREpdRwtjrSr0o4Vx1aw7uQ6mgQ3wcFSoO+ERYrFDRUWx44do1q1avz11180b94cgEOHDuU7xmKx2C+dlFqXBm3fWuNWIipGmJxGRESkdGoZ2pJ10etIzEhkf9x+GgY2NDuSyFXdUGFRq1Ytzp49y+rVqwG45557eP/99wkKCiqScFI65eTmMGfn/w3abjHS5DQiIiKll4ujC22qtOGPE3/wZ/SfNAhooC9xpcS6of40wzDy3V+6dClpaWl2DSSl308HfyI2LZZgr2DuqH2H2XFERERKtdahrXFxdOFc2jkOJRy69gNETFKoC/X+WWiIwP9faXt40+EatC0iIlJI7s7utAptBcC6k+tMTiNydTdUWFgslsu639QdJ3937Pwxfjv6GwAPNX/I5DQiIiJlQ9sqbXG0OHIq5RTRydFmxxG5ohsaY2EYBg8++CCurq4AZGZm8uijj142K9SiRYvsl1BKFQ3aFhERsT8vFy+aBDdhx9kdrD+5nnCfcLMjiVzmhgqLoUOH5rs/ZMgQu4aR0u3vg7YfafGIyWlERETKlvZV2rPj7A4OJRwiLi2OAM8AsyOJ5HNDhcXcuXOLKoeUAT8f+pnYtFiCPIM0aFtERMTOKnlUop5/PSLjI9lwagN96/Q1O5JIPlplRezm0krbw5tp0LaIiEhRaB/WHoA9sXtIyUoxOY1IfiosxC6Onz9uG7StlbZFRESKRhXvKlT1qYrVsLL51Gaz44jko8JC7EKDtkVERIrHpV6LbWe3kXkx0+Q0Iv+fCgsptJzcHObs+r+VtptrpW0REZGiVMuvFgEeAWTnZrPtzDaz44jYqLCQQvv50M/EpMYQ5BlEnzp9zI4jIiJSplksFluvxebTm7lovWhyIpE8Kiyk0D7Z/n8rbWvQtoiISLFoFNgIb1dvUrNT2RO7x+w4IoAKCymkvw/a1krbIiIixcPRwZG2ldsCsOHkBgzDMDmRiAoLKaTPdnyGgcEt1W+hesXqZscREREpN5qHNMfV0ZWEjAQOJhw0O46ICgspuL8P2tZK2yIiIsXL1cmVVqGtgLxeCxGzqbCQAtOgbREREXO1qdIGR4sjJ1NOEp0cbXYcKedUWEiBXRq0PazpMA3aFhERMYGXixeNgxoDsPHkRpPTSHmnwkIKJN9K2y200raIiIhZLk09eyDhAAnpCSankfJMhYUUiAZti4iIlAz+Hv7UrlQbgI2n1Gsh5lFhITcs30rbLbTStoiIiNnaV8nrtdgdu5u07DST00h5pcJCbtjfB233rdPX7DgiIiLlXrhPOKEVQrlovcjWM1vNjiPllAoLuWEzt80ENGhbRESkpLBYLLaxFltObyEnN8fkRFIemVpYzJw5k8aNG+Pt7Y23tzft2rVj6dKltv2ZmZmMGjWKSpUq4eXlxYABA4iNjTUxsRxOOMzKYyuxYOGRllq7QkREpKSo518PXzdfMi5msCt2l9lxpBwytbCoUqUKU6dOZfv27Wzbto1u3brRt29f9u3bB8DYsWP5+eefWbhwIWvWrOHMmTP079/fzMjl3qxtswDoWasn1XyrmRtGREREbBwsDrSt0haATac2YTWsJieS8sbUwuKOO+6gZ8+e1KpVi9q1a/P666/j5eXFpk2bSE5OZvbs2UyfPp1u3brRokUL5s6dy4YNG9i0aZOZscutjJwM5u6aC8BjLR8zOY2IiIj8U7PgZrg5uZGYkcjBhINmx5FypsSMscjNzeXrr78mLS2Ndu3asX37dnJycujevbvtmLp16xIeHs7GjVefSi0rK4uUlJR8N7GPb/Z9w/nM81T1qcptNW8zO46IiIj8g4ujC61CWwFaME+Kn+mFxd69e/Hy8sLV1ZVHH32UxYsXU79+fWJiYnBxccHX1zff8UFBQcTExFy1vSlTpuDj42O7hYWFFfErKD8uDdp+tOWjODo4mpxGRERErqR15dY4Whw5mXKSk8knzY4j5YjphUWdOnXYtWsXmzdv5rHHHmPo0KHs37+/wO1NmDCB5ORk2+3kSf1B2cP2M9vZcnoLzg7ODG823Ow4IiIichVeLl40DmoMwIZTG0xOI+WJk9kBXFxcqFmzJgAtWrRg69atvPfee9xzzz1kZ2eTlJSUr9ciNjaW4ODgq7bn6uqKq6trUccudy71VtxV/y4CPQNNTiMiIiL/pl2VduyM2cmB+AMkpCdQyaOS2ZGkHDC9x+KfrFYrWVlZtGjRAmdnZ1atWmXbd/DgQaKjo2nXrp2JCcufpMwkFuxdAMDjrR43OY2IiIhcS4BnALX9agOw6bQmvZHiYWqPxYQJE7j99tsJDw/nwoULLFiwgD/++IPly5fj4+PDiBEjGDduHH5+fnh7e/PEE0/Qrl072rZta2bscufL3V+ScTGDhoEN6RDWwew4IiIich3ahbXjUOIhdsXsokvVLmbHkXLA1MLi3LlzPPDAA5w9exYfHx8aN27M8uXLueWWWwB45513cHBwYMCAAWRlZdGjRw8++ugjMyOXO4Zh2C6DeqzlY1gsFpMTiYiIyPWo6lOV0AqhnLlwhq1ntlKHOmZHkjLO1MJi9uzZ/7rfzc2NGTNmMGPGjGJKJP/0x4k/OBB/AE9nT4Y0HmJ2HBEREblOFouFdlXa8X3k92w9s5UalWqYHUnKuBI3xkJKlku9Ffc3vh9vV2+T04iIiMiNqB9QH183X9Jz0jmUfsjsOFLGqbCQqzp74SyLDywG4LFWWmlbRESktHGwONC2ct7Y1L1pe0FXNEsRUmEhV/XZjs+4aL1I+7D2tvmwRUREpHRpFtIMNyc3knOT0TALKUoqLOSKLlov8smOTwB4vKWmmBURESmtXBxdaBnSMu9Oe3OzSNmmwkKu6McDP3Iq5RT+Hv7cVf8us+OIiIhIIbSu3BoHHCAc9iTuMTuOlFEqLOSKPtjyAQAjm4/E1UkrmYuIiJRmFVwrUMu9FgDzjs0zOY2UVSos5DJ7YvewJmoNjhZHDdoWEREpIxp5NgLg97O/cyTxiMlppCxSYSGX+XDLhwD0q9ePKt5VTE4jIiIi9uDn7AeHwMDgnY3vmB1HyiAVFpJPYkYi8/bkdZE+0foJk9OIiIiIXW3I+8/cXXOJT483N4uUOSosJJ85O+eQcTGDJkFN6BTeyew4IiIiYk8noJ5PPTIuZjBz60yz00gZo8JCbHKtuczYOgPI662wWLSKjoiISFlzf437gbyJWjJyMkxOI2WJCguxWXJ4CSeSTuDn7sd9je4zO46IiIgUgZtDbibcJ5y49Di+2vOV2XGkDFFhITaXpph9qNlDuDu7m5xGREREioKTgxNj244F4O2Nb2M1rCYnkrJChYUAsD9uPyuPrcTB4sDjrbTStoiISFk2otkIfN18OZRwiF8O/WJ2HCkjVFgI8P+nmO1Tpw9VfauanEZERESKUgXXCjza4lEA/rvhvyankbJChYWQnJnMl7u/BDTFrIiISHnxRJsncHZw5s/oP9l8arPZcaQMcDI7gJhv7q65pOWk0SCgAV2rdQUgOjqa+Hj7zm8dGRlp1/ZERESk4EIrhDK48WA+3/U5/934XxYOXGh2JCnlVFiUc1bDaptidnTr0VgsFqKjo6lbry4Z6UUzBV1qamqRtCsiIiI3Zny78Xy+63MWRS7iaOJRavjVMDuSlGIqLMq5ZUeWcSTxCD6uPgxpPASA+Ph4MtIz6PdCPwKqBtjtuQ5vPszqOavJzMy0W5siIiJScA0CG3B7zdtZemQp7256lw96fmB2JCnFVFiUc+9tfg+A4c2G4+XilW9fQNUAQmqH2O254qPte2mViIiIFN749uNZemQpc3bNYVKXSVTyqGR2JCmlNHi7HPvr3F/8dvQ3HCwOGrQtIiJSTnWt1pVmwc1Iz0ln5raZZseRUkyFRTn2zsZ3AOhfrz8RFSNMTiMiIiJmsFgsPNP+GSBvsdzMi7pkWQpGhUU5FZMaw7y98wAY13acyWlERETETHfVv4twn3DOpZ1j3p55ZseRUkqFRTn10daPyM7Npm2VtrQLa2d2HBERETGRs6MzT7V5CoC3N76N1bCaG0hKJRUW5VBGTgYfbf0IgKfbPW1yGhERESkJHmr+ED6uPhyIP8CSQ0vMjiOlkAqLcuirPV+RkJFANd9q3Fn3TrPjiIiISAlQwbUCj7R4BIC3NrxlchopjVRYlDNWw8r0jdMBGNNmDE4OmnFYRERE8jzZ5kmcHZz5M/pPNp7caHYcKWVUWJQzSw8v5WDCQbxdvRnebLjZcURERKQEqexdmQeaPADA63++bnIaKW1UWJQz0zfl9VaMbD4Sb1dvk9OIiIhISfN8x+dxsDiw5PASdsXsMjuOlCIqLMqRXTG7+P347zhaHHmijRbEExERkcvV9KvJPQ3uAeCNP98wOY2UJiosypFLYysGNhhIuE+4yWlERESkpHqh0wsAfLf/Ow7EHzA5jZQWKizKidMpp/nfX/8DtCCeiIiI/LuGgQ3pW6cvBgZT1001O46UEiosyokZW2dw0XqRTuGdaFW5ldlxREREpIR7sdOLAMzbM48TSSfMDSOlggqLciAtO41Z22YBMK6deitERETk2lpVbsUt1W8h18jlzXVvmh1HSgEVFuXAZzs+43zmeWpUrMEdte8wO46IiIiUEpd6LebsmsOZC2dMTiMlnQqLMi47N5u3N74NwDPtn8HRwdHkRCIiIlJadK7amQ5hHfI+T2x42+w4UsKpsCjjFuxdwMmUkwR7BTO06VCz44iIiEgpYrFYbL0Ws7bPIj493uREUpKZWlhMmTKFVq1aUaFCBQIDA7nzzjs5ePBgvmMyMzMZNWoUlSpVwsvLiwEDBhAbG2tS4tLFalh5c33eNZFj247FzcnN5EQiIiJS2txW8zaahzQnPSed9za9Z3YcKcFMLSzWrFnDqFGj2LRpEytWrCAnJ4dbb72VtLQ02zFjx47l559/ZuHChaxZs4YzZ87Qv39/E1OXHj8e+JED8QfwcfXh0ZaPmh1HRERESiGLxcILHfPWtfhgywckZyabnEhKKiczn3zZsmX57n/++ecEBgayfft2OnfuTHJyMrNnz2bBggV069YNgLlz51KvXj02bdpE27ZtzYhdKhiGwZR1UwAY1WoU3q7eJicSERGR0qpfvX7U869HZHwkM7bOsC2gJ/J3JWqMRXJyXgXs5+cHwPbt28nJyaF79+62Y+rWrUt4eDgbN268YhtZWVmkpKTku5VHq0+sZuuZrbg5uTGm7Riz44iIiEgp5mBxYELHCQC8vfFtLmRdMDmRlEQlprCwWq089dRTdOjQgYYNGwIQExODi4sLvr6++Y4NCgoiJibmiu1MmTIFHx8f2y0sLKyoo5dIl3orHmr2EIGegSanERERkdLu3kb3UsuvFokZiXyw5QOz40gJVGIKi1GjRvHXX3/x9ddfF6qdCRMmkJycbLudPHnSTglLj21ntrHy2EocLY483f5ps+OIiIhIGeDk4MTLN70MwH83/JeUrPJ5VYhcXYkoLEaPHs0vv/zC6tWrqVKlim17cHAw2dnZJCUl5Ts+NjaW4ODgK7bl6uqKt7d3vlt5M3XdVADua3Qf1XyrmRtGREREyoxBDQdR178u5zPP8/7m982OIyWMqYWFYRiMHj2axYsX8/vvvxMREZFvf4sWLXB2dmbVqlW2bQcPHiQ6Opp27doVd9xS4UD8ARZFLgLguQ7PmZxGREREyhJHB0de6vwSkDfWQjNEyd+ZWliMGjWKefPmsWDBAipUqEBMTAwxMTFkZGQA4OPjw4gRIxg3bhyrV69m+/btDBs2jHbt2mlGqKt4a/1bGBj0qdOHBoENzI4jIiIiZczdDe6mnn89kjKTeHfTu2bHkRLE1MJi5syZJCcn06VLF0JCQmy3b775xnbMO++8Q+/evRkwYACdO3cmODiYRYsWmZi65DqVcoqv9nwFYJu5QURERMSeHB0cmdRlEgDvbHqHxIxEcwNJiWHqOhaGYVzzGDc3N2bMmMGMGTOKIVHp9vaGt8mx5tClWhfaVlGPjoiIiBSNu+rfRaPARuw9t5dp66cxtftUsyNJCVAiBm9L4cWmxvLx9o8BeL7D8yanERERkbLMweLA691eB+D9ze9z9sJZkxNJSaDCooyYtn4aGRczaFO5DbfWuNXsOCIiIlLG9a7dm3ZV2pFxMYNX175qdhwpAUy9FEoKLzo6mgOnDjBjS96lYkOqDGHnzp2FajMyMtIe0URERKQEsue/88PChrHx1EY+3fEpT7d7mhp+NezWtpQ+KixKsejoaOrWq0tGpwxoB5yEJyY9Ybf2U1NT7daWiIiImCs1Me/f9SFDhti1XYcHHLhY/SIv//Ey8/rPs2vbUrqosCjF4uPjyXDIwKGtA1as9GzSkyofV7n2A6/h8ObDrJ6zmszMTDukFBERkZIgMzXv3/Wuj3elVpNadmkzLiqOxXMXwyOwYO8Cnu3wLI2DGtulbSl9VFiUdh3BarFSxbsKLRu2xGKxFLrJ+Oh4OwQTERGRkqhi5YqE1A6xX4NnoXtId1aeXcmzK55l2ZBl9mtbShUN3i7F4jLjoGXez12qdrFLUSEiIiJyo0bXG42zgzPLjy5nxdEVZscRk6iwKMU+P/I5OEGQcxDVK1Y3O46IiIiUU2GeYTze6nEAnlnxDLnWXJMTiRlUWJRSp1NOsygqbwXyFhVaqLdCRERETDWx80R8XH3YHbubeXs0iLs8UmFRSk1dN5VsazZEQWWXymbHERERkXKukkclXuz0IgAv/v4i6TnpJieS4qbCohQ6lXKKT3Z8knfnD9RbISIiIiXCE22eoKpPVU5fOM30jdPNjiPFTIVFKTR13VSyc7Np5tcMjpudRkRERCSPm5MbU26eAsCUdVM4lXLK5ERSnFRYlDInk0/y6Y5PAXikziMmpxERERHJb1DDQXQI60B6TjrPrXzO7DhSjFRYlDKvrX2N7Nxsbqp6E638W5kdR0RERCQfi8XCB7d/gAULC/YuYF30OrMjSTFRYVGKHEo4xOydswF4rdtrJqcRERERubJmIc14qPlDADy59ElNP1tOqLAoRSaunkiukUvv2r3pGN7R7DgiIiIiV/V6t9fxcfVhZ8xO2xejUrapsCgltp/Zzrf7vsWChde7vW52HBEREZF/FeAZwOQukwF4YdULxKfHm5xIipoKi1Lihd9fAGBw48E0DmpschoRERGRa3u81eM0CmxEQkYCz6541uw4UsRUWJQCvx//nd+O/oazg7Ot8hcREREp6ZwdnZnVexYAc3fNZW3UWpMTSVFSYVHCWQ0rz698HoBHWjxC9YrVTU4kIiIicv3ah7VnZPORADz6y6Nk52abnEiKigqLEu6bv75h65mteLl48Z/O/zE7joiIiMgNm9J9CgEeAUTGR/LfDf81O44UERUWJVjmxUwmrJoAwHMdniPIK8jkRCIiIiI3zs/dj+k9pgPw6tpXOZJ4xOREUhRUWJRgH275kKjkKEIrhDKu3Tiz44iIiIgU2OBGg+levTuZFzMZ/uNwrIbV7EhiZyosSqiE9AReW5u3CN7r3V7Hw9nD5EQiIiIiBWexWPj0jk/xdPbkz+g/+XDLh2ZHEjtTYVFCvbr2VZKzkmkS1IT7G99vdhwRERGRQqvmW423bnkLgOdXPq9LosoYFRYl0KGEQ3y09SMA3rrlLRwdHE1OJCIiImIfj7R8hK7VupJxMYMRP43QJVFliAqLEmjc8nHkWHPoWasnt9S4xew4IiIiInbjYHFgdp/ZeDp7sjZqLR9s/sDsSGInKixKmKWHl7Lk8BKcHJx4p8c7ZscRERERsbuIihG2S6KeW/kce2P3mpxI7EGFRQmSnZvN2OVjARjTZgy1K9U2OZGIiIhI0Xi05aP0rt2brNws7v3+XjJyMsyOJIWkwqIEmbFlBgcTDhLoGcjEzhPNjiMiIiJSZCwWC7P7zCbIM4h9cft4dsWzZkeSQlJhUUKcSzvH5DWTAXij2xv4uPmYnEhERESkaAV6BvL5nZ8D8OHWD1lyaIm5gaRQVFiUEM+tfI7krGSahzTnwaYPmh1HREREpFjcVvM2xrQZA8DQH4YSlRRlciIpKBUWJcCfUX/y+a7PAZjRc4amlxUREZFyZWr3qbQIaUFCRgIDFw4k62KW2ZGkAFRYmCwnN4fHf30cgIebP0zbKm1NTiQiIiJSvNyc3Pju7u+o6FaRrWe22iazkdJFhYXJPtjyAX+d+4tK7pWYcvMUs+OIiIiImKKabzXm95+PBQszt83kq91fmR1JbpAKCxOdSjnFy3+8DMC0W6ZRyaOSyYlEREREzHN7rdttM2M+8ssjbD+z3eREciNUWJjoqWVPkZqdSrsq7TRgW0RERAR46aaXuL3m7WRczKDP1304nXLa7EhynUwtLNauXcsdd9xBaGgoFouFH374Id9+wzB46aWXCAkJwd3dne7du3P48GFzwtrZ4sjFfB/5PU4OTszsNRMHi2o8EREREUcHR/434H80CGjAmQtnuON/d5CWnWZ2LLkOpn6aTUtLo0mTJsyYMeOK+6dNm8b777/PrFmz2Lx5M56envTo0YPMzMxiTmpfSZlJjPp1FADPtn+WJsFNTE4kIiIiUnL4uPnw870/E+ARwM6YnQxZPASrYTU7llyDqYXF7bffzmuvvUa/fv0u22cYBu+++y7/+c9/6Nu3L40bN+bLL7/kzJkzl/VslDbPrXiOs6lnqV2pNhNv0grbIiIiIv8UUTGCHwb9gIujCz8c+IGnlj2FYRhmx5J/UWKvvzl+/DgxMTF0797dts3Hx4c2bdqwceNGE5MVzpoTa/hkxycAfHrHp7g5uZmcSERERKRkah/Wni/u/ALIm0nzlTWvmJxI/o2T2QGuJiYmBoCgoKB824OCgmz7riQrK4usrP+/qEpKSkrRBLxB0dHRnIw5yf1r7wdgQNUBeCV4sSNhR4HbjIyMtFc8ERERkRJpUMNBxKfH88TSJ5i0ZhJ+7n480eYJs2PJFZTYwqKgpkyZwuTJk82OkU90dDR169Ul46YMaAMkw/ePfs/3Wd/bpf3U1FS7tCMiIiJSEo1uPZqE9AQmrZnEk8uexNfNl/ub3G92LPmHEltYBAcHAxAbG0tISIhte2xsLE2bNr3q4yZMmMC4ceNs91NSUggLCyuynNcjPj6ejKD/KyqAnhE9qfJ+lUK3e3jzYVbPWV3qB7OLiIiIXMtLN71EQkYCH2z5gAd/fBADgweaPGB2LPmbEltYREREEBwczKpVq2yFREpKCps3b+axxx676uNcXV1xdXUtppTXJzUnFfrm/dwytCWtarWyS7vx0fF2aUdERESkpLNYLLx727tk52bz8faPefCHB8m15jKs2TCzo8n/MbWwSE1N5ciRI7b7x48fZ9euXfj5+REeHs5TTz3Fa6+9Rq1atYiIiGDixImEhoZy5513mhe6AKbvmw6+UMGxArdUv8XsOCIiIiKlkoPFgY96fYSjxZGPtn3E8J+Gk2PNYWSLkWZHE0wuLLZt20bXrl1t9y9dwjR06FA+//xznn32WdLS0hg5ciRJSUl07NiRZcuW4eZWemZS+uXQL/x48kcwoItvF1wcXcyOJCIiIlJqOVgc+LDnhzg6OPLBlg945JdHiEuL44VOL2CxWMyOV66ZWlh06dLlX+cjtlgsvPLKK7zySumdWizEK4QIrwiO/3ackAEh136AiIiIiPwri8XCe7e9h4ezB2+uf5P/rP4Ppy+c5oPbP8DRwdHseOVWiV3HoqxoEdqC+Z3nw+9mJxEREREpOywWC1O7T+X9297HgoWZ22Zy18K7SMtOMztauaXCohi4OrrCRbNTiIiIiJQ9T7R5gm8Hfouroys/HPiBjnM7ciLphNmxyiUVFiIiIiJSqt1V/y5WPrCSQM9AdsXsouUnLfn9uC4XKW4qLERERESk1OsY3pFtD2+jRUgLEjISuPWrW3lr/VtYDavZ0coNFRYiIiIiUiaE+YTx57A/ub/x/eQauTy78ll6zu9JbGqs2dHKBRUWIiIiIlJmuDu788WdX/BJ709wd3Jn+dHlNJ7VmGVHlpkdrcxTYSEiIiIiZYrFYuHhFg+zbeQ2GgU24lzaOW6ffzsjfhxBUmaS2fHKLFPXsRARERGR0i8yMtLubWZlZeHq6lrodj5u+TEfRH7A18e/Zs6uOSw5tIRP+nxCnzp97JDy/4uOjiY+Pt6ubQL4+/sTHh5u93aLggoLERERESmQ1MRUAIYMGWL/xi3A1ddRvnFhQF+I9Y+l79d96VOnD+/0eIfqFasXuuno6Gjq1qtLRnpG4XP+g7uHOwciD5SK4kKFhYiIiIgUSGZqJgBdH+9KrSa17Nbu4c2HWT1ntd3bjYmK4ad1P+HYyZGfDv7E8iPLea7DczzX8Tk8nD0K3G58fDwZ6Rn0e6EfAVUD7JY3LiqOxW8sJj4+XoWFiIiIiJR9FStXJKR2iN3ai4+OL5J2AXgDvvnPN8yMmsmq46t4Ze0rfLrjUyZ3mcywZsNwcij4x+OAqgH2z1uKaPC2iIiIiJQrERUiWHH/Cr6961uq+VbjbOpZRv4yksYzG7MocpHWviggFRYiIiIiUu5YLBYGNhjIgVEHeKfHO1Ryr0RkfCQDvh1A01lNWbhvoQqMG6TCQkRERETKLVcnV55q+xRHnzzKxM4T8Xb1Zu+5vdz93d00/Kghn27/lIwc+w/KLotUWIiIiIhIuefj5sMrXV/hxJgTvHzTy/i4+hAZH8nIX0YS9k4Y//n9P5y9cNbsmCWaCgsRERERkf9T0b0ik7pMIuqpKN6+9W2q+lQlISOB1/98narvVuWBxQ+w8+xOs2OWSCosRERERET+wcfNh3HtxnHkySMsHLiQ9mHtybHm8NWer2j+SXM6zOnA3J1zSctOMztqiaHCQkRERETkKpwcnLir/l2sH76ezQ9t5t6G9+JocWTDyQ0M/2k4IW+H8Pru1yEUDMOeK/qVPiosRERERESuQ+vKrVkwYAEnx55kys1TqFGxBheyL7AoehGMhO/jv2fzqc3lthdDhYWIiIiIyA0IqRDC8x2f59ATh1g9dDW3V74dLkLixUSWHV3G2xvfZsHeBew9t5fs3Gyz4xYbrbwtIiIiIlIADhYHulTrgndzb5Y+sZT2b7TnuPU4Z1PPcjjxMIcTD+Ps4Ew9/3o0CmpE9YrVcbCU3e/1VViIiIiISLkSGRlp//YyoaFnQ26pfQvx6fHsjd3LnnN7SMpMYs+5Pew5twdPZ08aBjakUWAjQiuEYrFY7JrDbCosRERERKRcSE1MBWDIkCFF035qXvv+Hv50jehKl2pdOJVyij3n9rDv3D7SctLYfHozm09vxs/djwYBDWgY2JBAz8AiyVPcVFiIiIiISLmQmZoJQNfHu1KrSS27tXt482FWz1lNZmZmvu0Wi4UwnzDCfMK4rcZtHD1/lL2xezmQcIDEjET+jP6TP6P/JMAjgAaBDWgY0JBKHpXslqu4qbAQERERkXKlYuWKhNQOsVt78dHx1zzG0cGR2pVqU7tSbbIuZnEw4SD74vZxJPEIcelx/HHiD/448QfBXsE0CGhAg4AGdstXXFRYiIiIiIgUI1cnVxoHNaZxUGMyL2ZyIP4A+87t4+j5o8SkxhCTGsOq46sIcA6AdpCQlWB25OuiwkJERERExCRuTm40DW5K0+CmpOekExkXyb64fZxIOkFcThz0gKjUKLNjXhcVFiIiIiIiJYCHswctQlvQIrQFqdmpbNq3ifWb19O0d1Ozo12XsjuRroiIiIhIKeXl4kUDzwbwDaVm7YvSkVJEREREREo0FRYiIiIiIlJoKixERERERKTQVFiIiIiIiEihqbAQEREREZFCU2EhIiIiIiKFpsJCREREREQKTYWFiIiIiIgUWqkoLGbMmEG1atVwc3OjTZs2bNmyxexIIiIiIiLyNyW+sPjmm28YN24cL7/8Mjt27KBJkyb06NGDc+fOmR1NRERERET+T4kvLKZPn87DDz/MsGHDqF+/PrNmzcLDw4M5c+aYHU1ERERERP5PiS4ssrOz2b59O927d7dtc3BwoHv37mzcuNHEZCIiIiIi8ndOZgf4N/Hx8eTm5hIUFJRve1BQEAcOHLjiY7KyssjKyrLdT05OBiAlJaXogl5DamoqAGcOnSE7I9tu7cZFxeX993gcUZ5R5bLd0pRV7apdtVs8bapdtat2i6/d0pS1NLYbfzIeyPssadZn2UvPaxjGNY+1GNdzlEnOnDlD5cqV2bBhA+3atbNtf/bZZ1mzZg2bN2++7DGTJk1i8uTJxRlTRERERKRMO3nyJFWqVPnXY0p0j4W/vz+Ojo7Exsbm2x4bG0twcPAVHzNhwgTGjRtnu2+1WklMTKRSpUpYLJYizVtWpKSkEBYWxsmTJ/H29jY7jpRyOp/EnnQ+ib3oXBJ7Ksvnk2EYXLhwgdDQ0GseW6ILCxcXF1q0aMGqVau48847gbxCYdWqVYwePfqKj3F1dcXV1TXfNl9f3yJOWjZ5e3uXuT8OMY/OJ7EnnU9iLzqXxJ7K6vnk4+NzXceV6MICYNy4cQwdOpSWLVvSunVr3n33XdLS0hg2bJjZ0URERERE5P+U+MLinnvuIS4ujpdeeomYmBiaNm3KsmXLLhvQLSIiIiIi5inxhQXA6NGjr3rpk9ifq6srL7/88mWXlIkUhM4nsSedT2IvOpfEnnQ+5SnRs0KJiIiIiEjpUKIXyBMRERERkdJBhYWIiIiIiBSaCgsRERERESk0FRYCwNSpU7FYLDz11FO2bZmZmYwaNYpKlSrh5eXFgAEDLlusUOSS06dPM2TIECpVqoS7uzuNGjVi27Zttv2GYfDSSy8REhKCu7s73bt35/DhwyYmlpIqNzeXiRMnEhERgbu7OzVq1ODVV1/l70MCdT7J1axdu5Y77riD0NBQLBYLP/zwQ77913PuJCYmMnjwYLy9vfH19WXEiBGkpqYW46uQkuDfzqWcnByee+45GjVqhKenJ6GhoTzwwAOcOXMmXxvl7VxSYSFs3bqVjz/+mMaNG+fbPnbsWH7++WcWLlzImjVrOHPmDP379zcppZRk58+fp0OHDjg7O7N06VL279/P22+/TcWKFW3HTJs2jffff59Zs2axefNmPD096dGjB5mZmSYml5LozTffZObMmXz44YdERkby5ptvMm3aND744APbMTqf5GrS0tJo0qQJM2bMuOL+6zl3Bg8ezL59+1ixYgW//PILa9euZeTIkcX1EqSE+LdzKT09nR07djBx4kR27NjBokWLOHjwIH369Ml3XLk7lwwp1y5cuGDUqlXLWLFihXHTTTcZY8aMMQzDMJKSkgxnZ2dj4cKFtmMjIyMNwNi4caNJaaWkeu6554yOHTtedb/VajWCg4ONt956y7YtKSnJcHV1Nf73v/8VR0QpRXr16mUMHz4837b+/fsbgwcPNgxD55NcP8BYvHix7f71nDv79+83AGPr1q22Y5YuXWpYLBbj9OnTxZZdSpZ/nktXsmXLFgMwoqKiDMMon+eSeizKuVGjRtGrVy+6d++eb/v27dvJycnJt71u3bqEh4ezcePG4o4pJdxPP/1Ey5YtGThwIIGBgTRr1oxPP/3Utv/48ePExMTkO598fHxo06aNzie5TPv27Vm1ahWHDh0CYPfu3axbt47bb78d0PkkBXc9587GjRvx9fWlZcuWtmO6d++Og4MDmzdvLvbMUnokJydjsVjw9fUFyue5VCoWyJOi8fXXX7Njxw62bt162b6YmBhcXFxsfxyXBAUFERMTU0wJpbQ4duwYM2fOZNy4cbzwwgts3bqVJ598EhcXF4YOHWo7Z4KCgvI9TueTXMnzzz9PSkoKdevWxdHRkdzcXF5//XUGDx4MoPNJCux6zp2YmBgCAwPz7XdycsLPz0/nl1xVZmYmzz33HPfeey/e3t5A+TyXVFiUUydPnmTMmDGsWLECNzc3s+NIKWe1WmnZsiVvvPEGAM2aNeOvv/5i1qxZDB061OR0Utp8++23zJ8/nwULFtCgQQN27drFU089RWhoqM4nESlxcnJyuPvuuzEMg5kzZ5odx1S6FKqc2r59O+fOnaN58+Y4OTnh5OTEmjVreP/993FyciIoKIjs7GySkpLyPS42Npbg4GBzQkuJFRISQv369fNtq1evHtHR0QC2c+afs4rpfJIreeaZZ3j++ecZNGgQjRo14v7772fs2LFMmTIF0PkkBXc9505wcDDnzp3Lt//ixYskJibq/JLLXCoqoqKiWLFiha23AsrnuaTCopy6+eab2bt3L7t27bLdWrZsyeDBg20/Ozs7s2rVKttjDh48SHR0NO3atTMxuZREHTp04ODBg/m2HTp0iKpVqwIQERFBcHBwvvMpJSWFzZs363ySy6Snp+PgkP+fJ0dHR6xWK6DzSQrues6ddu3akZSUxPbt223H/P7771itVtq0aVPsmaXkulRUHD58mJUrV1KpUqV8+8vjuaRLocqpChUq0LBhw3zbPD09qVSpkm37iBEjGDduHH5+fnh7e/PEE0/Qrl072rZta0ZkKcHGjh1L+/bteeONN7j77rvZsmULn3zyCZ988gmAbY2U1157jVq1ahEREcHEiRMJDQ3lzjvvNDe8lDh33HEHr7/+OuHh4TRo0ICdO3cyffp0hg8fDuh8kn+XmprKkSNHbPePHz/Orl278PPzIzw8/JrnTr169bjtttt4+OGHmTVrFjk5OYwePZpBgwYRGhpq0qsSM/zbuRQSEsJdd93Fjh07+OWXX/5fe/ce0+T1xgH8W25FKKgUBMwUxUtF5OIGOkGSKTJwkczbNhkzVadb5sJu3kjAoc7p3E0355xAhrpl4oIxm6IuSsAoGjTagojrGNbhIkSCTEEuOvr8/jC8s0qBicp++v0kTXjPe95znp5zQvq0PW/R2tqq7Jvw8PCAk5PT47mWevq2VPTfcfvtZkVEmpqaZOHChdK3b19xcXGRadOmSVVVVc8FSP9pe/bskVGjRolarZYRI0ZIenq61XmLxSLLly8Xb29vUavVEh0dLSaTqYeipf+ya9euydtvvy0DBw4UZ2dn8ff3l5SUFGlpaVHqcD2RLfn5+QLgroderxeRrq2d2tpaSUhIEI1GI+7u7jJ37lypr6/vgWdDPamjtWQ2m9s9B0Dy8/OVNh63taQSue2nTImIiIiIiO4B91gQEREREVG3MbEgIiIiIqJuY2JBRERERETdxsSCiIiIiIi6jYkFERERERF1GxMLIiIiIiLqNiYWRERERETUbUwsiIiIiIio25hYEBHdJ4MGDcKGDRt6OoxHzoULF6BSqWA0Gv/1tXl5eQgICEBra2uX6nMOb0lOTkZSUlJPh0FE/2eYWBDRI2/OnDlQqVTKQ6vVIi4uDiUlJT0dmmLOnDmYOnVqj/XfnRfv99P9HoelS5ciNTUV9vb2963NnrJixQqEhoY+lL4WL16Mbdu24fz58w+lPyJ6NDCxIKLHQlxcHKqqqlBVVYW8vDw4ODhgypQpPR3WfXfjxo2eDuE/4+jRo6ioqMCMGTN6NI7/2px0JR5PT0/ExsZi8+bNDyEiInpUMLEgoseCWq2Gj48PfHx8EBoaiuTkZFy8eBE1NTVKnWXLlmH48OFwcXGBv78/li9fjps3b1q1s2fPHoSHh8PZ2Rmenp6YNm2azT4zMzPRp08f5OXlAQBycnIQFBSEXr16QavVYtKkSbh+/TpWrFiBbdu24aefflI+VSkoKAAAnDlzBhMnTlSuee2119DQ0KD00fYO/4cffoj+/ftDp9Nh1apVGDVq1F3xhIaGYvny5fc0fhaLBWvXrsXgwYPRq1cvhISEICcnRzlfUFAAlUqFvLw8hIWFwcXFBRERETCZTFbtrF69Gv369YObmxvmz5+P5ORk5V34jsYBAM6fP48JEybAxcUFISEhOH78eIcxZ2dnIyYmBs7Ozlblnc1hY2Mj5s2bBzc3NwwcOBDp6elW5ztbJ22fLGRmZmLw4MFK/wcOHMD48ePRp08faLVaTJkyBRUVFVZt//nnn0hISICHhwdcXV0RFhaGoqIibN26FStXrkRxcbEyNlu3bgUA/PXXX5g/fz68vLzg7u6OiRMnori4uNN4bK3HNvHx8cjOzu5wjImIrAgR0SNOr9fL888/rxzX19fL66+/LkOHDpXW1lal/IMPPpDCwkIxm83y888/i7e3t6xbt045v3fvXrG3t5f3339fysrKxGg0ypo1a5Tzfn5+sn79ehERWbdunWi1WikqKhIRkUuXLomDg4N8/vnnYjabpaSkRDZt2iT19fVSX18vL774osTFxUlVVZVUVVVJS0uLNDQ0iK+vr0yfPl3OnDkjeXl5MnjwYNHr9VbPTaPRyOzZs6W0tFRKS0vl4sWLYmdnJydOnFDqnT59WlQqlVRUVLQ7RmazWQCIwWBo9/zq1atlxIgRcuDAAamoqJCsrCxRq9VSUFAgIiL5+fkCQMaOHSsFBQVy9uxZiYqKkoiICKWN77//XpydneXbb78Vk8kkK1euFHd3dwkJCVHmpb1xaIttxIgRsnfvXjGZTDJz5kzx8/OTmzdv2pz34OBg+eijj6zKujKHHh4esmnTJikvL5e1a9eKnZ2d/Prrr0qdztZJWlqauLq6SlxcnJw+fVqKi4tFRCQnJ0d27dol5eXlYjAYJD4+XoKCgpQ1WF9fL/7+/hIVFSVHjhyR8vJy2blzpxw7dkwaGxtl0aJFEhgYqIxNY2OjiIhMmjRJ4uPj5eTJk/Lbb7/JokWLRKvVSm1trc14OlqPbc6dOycAxGw22xxjIqLbMbEgokeeXq8Xe3t7cXV1FVdXVwEgvr6+curUqQ6v++STT+Spp55SjseNGyeJiYk267clFkuXLhVfX18pLS1Vzp06dUoAyIULF2zGeHvyIyKSnp4uffv2lYaGBqUsNzdX7OzspLq6WrnO29tbWlparK6dPHmyvPHGG8pxUlKSPPPMMzZj7yixaG5uFhcXFzl27JhV+auvvioJCQki8k9icejQIatYAUhTU5OIiIwdO1befPNNqzYiIyOVxMLWOLTFlpmZqZSdPXtWAMi5c+dsPqfevXvL9u3brcq6MoevvPKKcmyxWKRfv36yefNmm9fcuU7S0tLE0dFRLl++bPMaEZGamhoBIGfOnBERkS1btoibm5uSENwpLS3NaqxERI4cOSLu7u7S3NxsVT5kyBDZsmWLzXg6W48iIlevXhUASvJIRNQZfhWKiB4LEyZMgNFohNFoxIkTJxAbG4vJkyfjjz/+UOrs3LkTkZGR8PHxgUajQWpqKiorK5XzRqMR0dHRHfbz2WefISMjA0ePHkVgYKBSHhISgujoaAQFBeGFF15ARkYG6urqOmzr3LlzCAkJgaurq1IWGRkJi8Vi9RWjoKAgODk5WV27YMEC7NixA83Nzbhx4wZ++OEHzJs3r+NBsuH3339HY2MjYmJioNFolMf27dvv+ipPcHCw8revry8A4PLlywAAk8mEMWPGWNW/87gjHbXdnqampru+BtWVOby9H5VKBR8fH6t+OlsnAODn5wcvLy+rsvLyciQkJMDf3x/u7u4YNGgQACjXGo1GjB49Gh4eHh3Gd7vi4mI0NDRAq9VazY3ZbLaamzvj6cp67NWrF4BbXw0jIuoKJhZE9FhwdXXF0KFDMXToUISHhyMzMxPXr19HRkYGAOD48eNITEzEc889h71798JgMCAlJcVqo2vbC62OREVFobW1FT/++KNVub29PQ4ePIj9+/dj5MiR2LhxI3Q6Hcxm8315bneKj4+HWq3G7t27sWfPHty8eRMzZ868p/bb9nTk5uYqyZnRaERZWZnVPgsAcHR0VP5WqVQAbu3PuB/+bduenp42Xyx3tZ+2vtr66co6AWzPyZUrV5CRkYGioiIUFRUB+GczdVdiu1NDQwN8fX2t5sVoNMJkMmHJkiU24+nKerxy5QoA3JUgERHZwsSCiB5LKpUKdnZ2aGpqAgAcO3YMfn5+SElJQVhYGIYNG2b1aQZw653sto3YtowZMwb79+/HmjVr8Omnn97VZ2RkJFauXAmDwQAnJyfs3r0bAODk5HTXby0EBASguLjYakNtYWEh7OzsoNPpOozDwcEBer0eWVlZyMrKwqxZs+7phSsAjBw5Emq1GpWVlUpy1vYYMGBAl9vR6XQ4efKkVdmdx+2Nw70aPXo0ysrKrMq6Mocd6co6aU9tbS1MJhNSU1MRHR2NgICAu5Ke4OBgGI1G5QX9ndobmyeffBLV1dVwcHC4a248PT07jKmj9QgApaWlcHR0tPrkjYioIw49HQAR0cPQ0tKC6upqAEBdXR2++uorNDQ0ID4+HgAwbNgwVFZWIjs7G+Hh4cjNzbV6kQUAaWlpiI6OxpAhQzBr1iz8/fff2LdvH5YtW2ZVLyIiAvv27cPkyZPh4OCAd955B0VFRcjLy8Ozzz6Lfv36oaioCDU1NQgICABw64fZfvnlF5hMJmi1WvTu3RuJiYlIS0uDXq/HihUrUFNTg6SkJMyePRve3t6dPuf58+cr7RcWFnZpnO68ixMABAYGYvHixXj33XdhsVgwfvx4XL16FYWFhXB3d4der+9S20lJSViwYAHCwsIQERGBnTt3oqSkBP7+/kqd9sbhXsXGxmLbtm1WZV2dQ1u6sk7a07dvX2i1WqSnp8PX1xeVlZVITk62qpOQkIA1a9Zg6tSpWLt2LXx9fWEwGNC/f3+MGzcOgwYNgtlshtFoxBNPPAE3NzdMmjQJ48aNw9SpU/Hxxx9j+PDhuHTpEnJzczFt2jSEhYW1G09n6xEAjhw5gqioqHtOSInoMdTTmzyIiB40vV4vAJSHm5ubhIeHS05OjlW9JUuWiFarFY1GIy+99JKsX79eevfubVVn165dEhoaKk5OTuLp6SnTp09Xzt1+VygRkcOHD4urq6t8+eWXUlZWJrGxseLl5SVqtVqGDx8uGzduVOpevnxZYmJiRKPRCADJz88XEZGSkhKZMGGCODs7i4eHhyxYsMDqzj3tbXa+XVRUlAQGBnY6Rm0bpNt7XLx4USwWi2zYsEF0Op04OjqKl5eXxMbGyuHDh0Xkn83bdXV1SpsGg+GuuwqtWrVKPD09RaPRyLx58+Stt96Sp59+usNxaG9jeV1dndU4tae2tlacnZ2t7ugk8u/mUEQkJCRE0tLSlOPO1kl7m6xFRA4ePCgBAQGiVqslODhYCgoKBIDs3r1bqXPhwgWZMWOGuLu7i4uLi4SFhSl3FmtubpYZM2ZInz59BIBkZWWJiMi1a9ckKSlJ+vfvL46OjjJgwABJTEyUyspKm/F0th5FRHQ6nezYscPm+BIR3UklIvLQsxkiInrgRATDhg3DwoUL8d577/V0OO2KiYmBj48PvvvuuwfS/pIlS3Dt2jVs2bLlgbT/qNq/fz8WLVqEkpISODjwyw1E1DX8b0FE9AiqqalBdnY2qqurMXfu3J4OB8Ctuwt98803iI2Nhb29PXbs2IFDhw7h4MGDD6zPlJQUfP3117BYLLCz47bCrrp+/TqysrKYVBDRv8JPLIiIHkEqlQqenp744osv8PLLL/d0OABu3f41Pj4eBoMBzc3N0Ol0SE1NxfTp03s6NCIiug+YWBARERERUbfxc2EiIiIiIuo2JhZERERERNRtTCyIiIiIiKjbmFgQEREREVG3MbEgIiIiIqJuY2JBRERERETdxsSCiIiIiIi6jYkFERERERF1GxMLIiIiIiLqtv8B+cDggMwrZisAAAAASUVORK5CYII=\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 600x400 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file