diff --git "a/_3375.ipynb" "b/_3375.ipynb"
new file mode 100644--- /dev/null
+++ "b/_3375.ipynb"
@@ -0,0 +1,1524 @@
+{
+  "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": 4,
+      "metadata": {
+        "id": "lG-cgAHzeWwE"
+      },
+      "outputs": [],
+      "source": [
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "import matplotlib.image as mpimg\n",
+        "\n",
+        "import seaborn as sns\n",
+        "\n",
+        "from sklearn import preprocessing\n",
+        "\n",
+        "import nltk\n",
+        "from nltk.sentiment import SentimentIntensityAnalyzer\n",
+        "\n",
+        "from nltk.corpus import stopwords\n",
+        "import string\n",
+        "\n",
+        "import spacy\n",
+        "\n",
+        "from wordcloud import WordCloud\n",
+        "from collections import Counter\n",
+        "\n",
+        "import os"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber = pd.read_csv('/content/uber_reviews_without_reviewid.csv')"
+      ],
+      "metadata": {
+        "id": "MzMzdgg_ezl5"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.shape"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ilHbVV83fEpQ",
+        "outputId": "7b8b461e-895b-4c2e-e0a4-00b1431879ce"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(12000, 10)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.info()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "FUSK1zaofHOO",
+        "outputId": "2ca354ef-19b2-4357-bf53-b9944f88a821"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 12000 entries, 0 to 11999\n",
+            "Data columns (total 10 columns):\n",
+            " #   Column                Non-Null Count  Dtype  \n",
+            "---  ------                --------------  -----  \n",
+            " 0   userName              12000 non-null  object \n",
+            " 1   userImage             0 non-null      float64\n",
+            " 2   content               12000 non-null  object \n",
+            " 3   score                 12000 non-null  int64  \n",
+            " 4   thumbsUpCount         12000 non-null  int64  \n",
+            " 5   reviewCreatedVersion  10260 non-null  object \n",
+            " 6   at                    12000 non-null  object \n",
+            " 7   replyContent          33 non-null     object \n",
+            " 8   repliedAt             33 non-null     object \n",
+            " 9   appVersion            10260 non-null  object \n",
+            "dtypes: float64(1), int64(2), object(7)\n",
+            "memory usage: 937.6+ KB\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber['at'] = pd.to_datetime(uber['at'])"
+      ],
+      "metadata": {
+        "id": "cDkQGzvWfJSy"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber['at_month'] = uber['at'].dt.month\n",
+        "uber['at_day'] = uber['at'].dt.day\n",
+        "uber['at_hour'] = uber['at'].dt.hour\n",
+        "\n",
+        "del uber['at']"
+      ],
+      "metadata": {
+        "id": "tsy5JRtqfMj0"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "reply_content = np.where(uber['replyContent'].isna(), 0, 1)\n",
+        "uber['replyContent'] = reply_content"
+      ],
+      "metadata": {
+        "id": "ueV6LQqRfXso"
+      },
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.describe().T"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 269
+        },
+        "id": "rD34GFvkfiFp",
+        "outputId": "560f99fc-733a-4796-a3cb-3124eecf9c27"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                 count       mean       std   min   25%   50%   75%    max\n",
+              "userImage          0.0        NaN       NaN   NaN   NaN   NaN   NaN    NaN\n",
+              "score          12000.0   3.925417  1.658940   1.0   3.0   5.0   5.0    5.0\n",
+              "thumbsUpCount  12000.0   0.517000  6.298268   0.0   0.0   0.0   0.0  239.0\n",
+              "replyContent   12000.0   0.002750  0.052370   0.0   0.0   0.0   0.0    1.0\n",
+              "at_month       12000.0  11.731833  0.443023  11.0  11.0  12.0  12.0   12.0\n",
+              "at_day         12000.0  13.919750  9.374307   1.0   6.0  12.0  25.0   30.0\n",
+              "at_hour        12000.0  12.785583  6.758643   0.0   8.0  13.0  19.0   23.0"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-b37c4e45-df4d-41dd-a18f-b10057c2c60e\" 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>count</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>std</th>\n",
+              "      <th>min</th>\n",
+              "      <th>25%</th>\n",
+              "      <th>50%</th>\n",
+              "      <th>75%</th>\n",
+              "      <th>max</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>userImage</th>\n",
+              "      <td>0.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>score</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>3.925417</td>\n",
+              "      <td>1.658940</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>thumbsUpCount</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>0.517000</td>\n",
+              "      <td>6.298268</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>239.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>replyContent</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>0.002750</td>\n",
+              "      <td>0.052370</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_month</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>11.731833</td>\n",
+              "      <td>0.443023</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>12.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_day</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>13.919750</td>\n",
+              "      <td>9.374307</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>6.0</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>30.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_hour</th>\n",
+              "      <td>12000.0</td>\n",
+              "      <td>12.785583</td>\n",
+              "      <td>6.758643</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>19.0</td>\n",
+              "      <td>23.0</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-b37c4e45-df4d-41dd-a18f-b10057c2c60e')\"\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",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </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-b37c4e45-df4d-41dd-a18f-b10057c2c60e 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-b37c4e45-df4d-41dd-a18f-b10057c2c60e');\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-88967c65-ec43-4fea-b652-7ff58060f84c\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-88967c65-ec43-4fea-b652-7ff58060f84c')\"\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-88967c65-ec43-4fea-b652-7ff58060f84c 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",
+              "summary": "{\n  \"name\": \"uber\",\n  \"rows\": 7,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4535.573676110726,\n        \"min\": 0.0,\n        \"max\": 12000.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          12000.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.388431239067718,\n        \"min\": 0.00275,\n        \"max\": 13.91975,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          3.9254166666666666,\n          0.517\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.8841884329694403,\n        \"min\": 0.05237046930765651,\n        \"max\": 9.374307071650403,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1.658940424889631,\n          6.298268281726732\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.355073669487885,\n        \"min\": 0.0,\n        \"max\": 11.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.457203906785808,\n        \"min\": 0.0,\n        \"max\": 11.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.0,\n          8.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.131883886702357,\n        \"min\": 0.0,\n        \"max\": 13.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.0,\n          13.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.342469079802301,\n        \"min\": 0.0,\n        \"max\": 25.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.0,\n          19.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 92.41572737725255,\n        \"min\": 1.0,\n        \"max\": 239.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          5.0,\n          239.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.select_dtypes(include='object').describe().T"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "cs1ypw6eflPS",
+        "outputId": "44589283-3f61-4b0e-e0e1-39e67ad334a3"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                      count unique                  top  freq\n",
+              "userName              12000  12000               User_0     1\n",
+              "content               12000   8172                 Good   985\n",
+              "reviewCreatedVersion  10260    142          4.554.10001  3187\n",
+              "repliedAt                33     33  2019-07-14 11:38:48     1\n",
+              "appVersion            10260    142          4.554.10001  3187"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-ab05a5e5-1199-4051-af33-74b54b38a116\" 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>count</th>\n",
+              "      <th>unique</th>\n",
+              "      <th>top</th>\n",
+              "      <th>freq</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>userName</th>\n",
+              "      <td>12000</td>\n",
+              "      <td>12000</td>\n",
+              "      <td>User_0</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>content</th>\n",
+              "      <td>12000</td>\n",
+              "      <td>8172</td>\n",
+              "      <td>Good</td>\n",
+              "      <td>985</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>reviewCreatedVersion</th>\n",
+              "      <td>10260</td>\n",
+              "      <td>142</td>\n",
+              "      <td>4.554.10001</td>\n",
+              "      <td>3187</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>repliedAt</th>\n",
+              "      <td>33</td>\n",
+              "      <td>33</td>\n",
+              "      <td>2019-07-14 11:38:48</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>appVersion</th>\n",
+              "      <td>10260</td>\n",
+              "      <td>142</td>\n",
+              "      <td>4.554.10001</td>\n",
+              "      <td>3187</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-ab05a5e5-1199-4051-af33-74b54b38a116')\"\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",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </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-ab05a5e5-1199-4051-af33-74b54b38a116 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-ab05a5e5-1199-4051-af33-74b54b38a116');\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-015d2b55-92f4-45cd-96a4-0efe3a3cd49e\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-015d2b55-92f4-45cd-96a4-0efe3a3cd49e')\"\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-015d2b55-92f4-45cd-96a4-0efe3a3cd49e 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",
+              "summary": "{\n  \"name\": \"uber\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"33\",\n        \"max\": \"12000\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"12000\",\n          \"10260\",\n          \"33\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"unique\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 33,\n        \"max\": 12000,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          8172,\n          33,\n          12000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"top\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Good\",\n          \"2019-07-14 11:38:48\",\n          \"User_0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"freq\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1\",\n        \"max\": \"3187\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"1\",\n          \"985\",\n          \"3187\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.isnull().sum()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 460
+        },
+        "id": "l-JWHczNfqGD",
+        "outputId": "b21de62c-7b4e-4c1a-a427-9885542c9d09"
+      },
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "userName                    0\n",
+              "userImage               12000\n",
+              "content                     0\n",
+              "score                       0\n",
+              "thumbsUpCount               0\n",
+              "reviewCreatedVersion     1740\n",
+              "replyContent                0\n",
+              "repliedAt               11967\n",
+              "appVersion               1740\n",
+              "at_month                    0\n",
+              "at_day                      0\n",
+              "at_hour                     0\n",
+              "dtype: int64"
+            ],
+            "text/html": [
+              "<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>0</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>userName</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>userImage</th>\n",
+              "      <td>12000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>content</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>score</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>thumbsUpCount</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>reviewCreatedVersion</th>\n",
+              "      <td>1740</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>replyContent</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>repliedAt</th>\n",
+              "      <td>11967</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>appVersion</th>\n",
+              "      <td>1740</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_month</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_day</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>at_hour</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div><br><label><b>dtype:</b> int64</label>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber['userName'].duplicated().sum()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "dBF_dG2JftLA",
+        "outputId": "1d10049f-0b12-4d8c-da89-3007067a8f54"
+      },
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "0"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 13
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber.index = uber['userName']\n",
+        "\n",
+        "del uber['userName']\n",
+        "del uber['userImage']"
+      ],
+      "metadata": {
+        "id": "q6Plh7kIfybn"
+      },
+      "execution_count": 14,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "uber['content'] = uber['content'].str.lower()"
+      ],
+      "metadata": {
+        "id": "qNmIf8Ehf39Q"
+      },
+      "execution_count": 15,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "fig, axes = plt.subplots(1, 2, figsize=(10, 5))\n",
+        "\n",
+        "# Use 'Pastel2' which is a valid Seaborn palette name\n",
+        "palette = sns.color_palette('Pastel2')\n",
+        "for i, column in enumerate(uber[['score', 'thumbsUpCount']]):\n",
+        "  sns.histplot(data=uber[column], ax=axes[i], bins=4, kde=True, color=palette[0])\n",
+        "  axes[i].set_title(f'Distribution of {column}')\n",
+        "  axes[i].set_ylabel('frequency')\n",
+        "\n",
+        "plt.tight_layout()\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 329
+        },
+        "id": "yALWRoiof9OW",
+        "outputId": "a6ba62da-8dfa-47f5-a3b6-b2fba7c0a43b"
+      },
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x500 with 2 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "sns.heatmap(data=uber[['score', 'thumbsUpCount', 'replyContent']].corr(),\n",
+        "            cmap='Pastel2',\n",
+        "            annot=True)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 452
+        },
+        "id": "5Y9Z_IvhgkWL",
+        "outputId": "759397e0-5c49-4079-8d19-e7fb4810a2d7"
+      },
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: >"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 20
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "month = uber['at_month'].value_counts().sort_index(ascending=True)\n",
+        "\n",
+        "month.plot(kind='bar', grid=True, figsize=(8,5), xlabel='months', ylabel='frequency',\n",
+        "           legend=False, title='Distribution by Months', rot=0,\n",
+        "           color=sns.color_palette('Pastel2'))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 472
+        },
+        "id": "eCAHXnbAhicx",
+        "outputId": "082c3933-9613-4fd0-82f4-bd611634c736"
+      },
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Distribution by Months'}, xlabel='months', ylabel='frequency'>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 22
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "day = uber['at_day'].value_counts().sort_index(ascending=True)\n",
+        "\n",
+        "day.plot(kind='bar', grid=True, figsize=(8, 5), xlabel='day', ylabel='frequency',\n",
+        "         legend=False, title='Distribution by Days',\n",
+        "         edgecolor='black', rot=0,\n",
+        "         color=sns.color_palette('Pastel2'))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 477
+        },
+        "id": "dLEh7VWViEoJ",
+        "outputId": "3c31a7a6-8b0f-4f4b-fc8a-2381420d6ac8"
+      },
+      "execution_count": 23,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Distribution by Days'}, xlabel='day', ylabel='frequency'>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 23
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x500 with 1 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "hour = uber['at_hour'].value_counts().sort_index(ascending=True)\n",
+        "\n",
+        "hour.plot(kind='bar', grid=True, figsize=(10,5), xlabel='hours', ylabel='frequency',\n",
+        "           legend=False, title='Distribution by Hour', edgecolor='black',rot=0,\n",
+        "           color=sns.color_palette('Pastel2'))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 400
+        },
+        "id": "yhmuNUnxibf9",
+        "outputId": "b76fb470-57dd-477f-8285-372e717ade51"
+      },
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Distribution by Hour'}, xlabel='hours', ylabel='frequency'>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 25
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x500 with 1 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "date_score = uber.groupby(['at_month','at_day'])['score'].mean()\n",
+        "date_score.plot(kind='line', grid=True, xlabel='month, day', ylabel='avg. score',\n",
+        "               color=sns.color_palette('Pastel1'), linewidth=2, marker='o',\n",
+        "                title='Trends in Average Daily Score per Month')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 507
+        },
+        "id": "1hr5UeRZjCrS",
+        "outputId": "179fb864-c82c-428e-a224-820ab1261ff6"
+      },
+      "execution_count": 27,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Trends in Average Daily Score per Month'}, xlabel='month, day', ylabel='avg. score'>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 27
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import nltk\n",
+        "nltk.download('vader_lexicon')\n",
+        "\n",
+        "analyzer = SentimentIntensityAnalyzer()\n",
+        "\n",
+        "\n",
+        "'''\n",
+        "def valer_analyze(review):\n",
+        "    score = analyzer.polarity_scores(review)['compound']\n",
+        "    return score\n",
+        "\n",
+        "    if score >= 0.05:\n",
+        "        return 'postive'\n",
+        "    elif score <= -0.05:\n",
+        "        return 'negative'\n",
+        "    else:\n",
+        "        return 'neutral'\n",
+        "'''\n",
+        "\n",
+        "uber['vader_neg'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['neg'])\n",
+        "uber['vader_neu'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['neu'])\n",
+        "analyzer = SentimentIntensityAnalyzer()\n",
+        "\n",
+        "\n",
+        "'''\n",
+        "def valer_analyze(review):\n",
+        "    score = analyzer.polarity_scores(review)['compound']\n",
+        "    return score\n",
+        "\n",
+        "    if score >= 0.05:\n",
+        "        return 'postive'\n",
+        "    elif score <= -0.05:\n",
+        "        return 'negative'\n",
+        "    else:\n",
+        "        return 'neutral'\n",
+        "'''\n",
+        "\n",
+        "uber['vader_neg'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['neg'])\n",
+        "uber['vader_neu'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['neu'])\n",
+        "uber['vader_pos'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['pos'])\n",
+        "uber['vader_com'] = uber['content'].apply(lambda x: analyzer.polarity_scores(x)['compound'])"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ZDjOOAjMjjwg",
+        "outputId": "c7f133d8-b3e3-4f00-8bfc-de9f88f7599f"
+      },
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "[nltk_data] Downloading package vader_lexicon to /root/nltk_data...\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "ax = sns.barplot(data=uber, x='score', y='vader_com', palette='Pastel2')\n",
+        "\n",
+        "ax.set_title('Compound Score by Uber Review Sentiments')\n",
+        "ax.set_ylabel('compound')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 596
+        },
+        "id": "8tkVBk84lJkl",
+        "outputId": "7b46b7c6-6c30-4d9b-b3d1-bd522ad0cee4"
+      },
+      "execution_count": 34,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "<ipython-input-34-8904d2239316>:1: FutureWarning: \n",
+            "\n",
+            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+            "\n",
+            "  ax = sns.barplot(data=uber, x='score', y='vader_com', palette='Pastel2')\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Text(0, 0.5, 'compound')"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 34
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
+        "\n",
+        "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
+        "\n",
+        "ax = sns.barplot(data=uber, x='score', y='vader_pos', palette='Pastel2', ax=axes[0])\n",
+        "ax = sns.barplot(data=uber, x='score', y='vader_neg', palette='Pastel2', ax=axes[1])\n",
+        "ax = sns.barplot(data=uber, x='score', y='vader_neu', palette='Pastel2', ax=axes[2])\n",
+        "\n",
+        "axes[0].set_title('Postive Sentiments by Score')\n",
+        "axes[1].set_title('Negative Sentiments by Score')\n",
+        "axes[2].set_title('Neutral Sentiments by Score')\n",
+        "\n",
+        "axes[0].set_ylabel('positive sentiments')\n",
+        "axes[1].set_ylabel('negative sentiments')\n",
+        "axes[2].set_ylabel('neutral sentiments')\n",
+        "\n",
+        "plt.tight_layout()\n",
+        "axes[1].set_title('Negative Sentimetns by Score')\n",
+        "axes[2].set_title('Neutral Sentiments by Score')\n",
+        "\n",
+        "axes[0].set_ylabel('postive sentiments')\n",
+        "axes[1].set_ylabel('negative sentiments')\n",
+        "axes[2].set_title('Neural Sentiments by Score')\n",
+        "\n",
+        "axes[0].set_ylabel('positive sentiments')\n",
+        "axes[1].set_ylabel('negative sentiments')\n",
+        "axes[2].set_ylabel('neutral sentiments')\n",
+        "\n",
+        "plt.tight_layout()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 727
+        },
+        "id": "uP9E2u6vlZ7h",
+        "outputId": "4ae0c402-cb48-450c-8b1c-6c4dcdf62f73"
+      },
+      "execution_count": 37,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "<ipython-input-37-658077e177be>:5: FutureWarning: \n",
+            "\n",
+            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+            "\n",
+            "  ax = sns.barplot(data=uber, x='score', y='vader_pos', palette='Pastel2', ax=axes[0])\n",
+            "<ipython-input-37-658077e177be>:6: FutureWarning: \n",
+            "\n",
+            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+            "\n",
+            "  ax = sns.barplot(data=uber, x='score', y='vader_neg', palette='Pastel2', ax=axes[1])\n",
+            "<ipython-input-37-658077e177be>:7: FutureWarning: \n",
+            "\n",
+            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+            "\n",
+            "  ax = sns.barplot(data=uber, x='score', y='vader_neu', palette='Pastel2', ax=axes[2])\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1500x500 with 3 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1500x500 with 3 Axes>"
+            ],
+            "image/png": "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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import nltk\n",
+        "nltk.download('stopwords')\n",
+        "\n",
+        "stop_words = set(stopwords.words('english'))\n",
+        "\n",
+        "def remove_punctuation_stopwords(review):\n",
+        "    #remove punctuation\n",
+        "    #review = review.translate(str.maketrans('','',string.punctuation))\n",
+        "\n",
+        "    #remove stopwords\n",
+        "    words = review.split()\n",
+        "    cleaned_review = [word for word in words if word.lower() not in stop_words]\n",
+        "\n",
+        "    return ' '.join(cleaned_review)\n",
+        "\n",
+        "\n",
+        "#content = uber['content'].apply(remove_punctuation_stopwords)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NVDe3rzMmqu1",
+        "outputId": "54ed12da-2af0-4bf4-cbe7-f49d87abbead"
+      },
+      "execution_count": 41,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
+            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#App Performance across Different Versions\n",
+        "version_score = uber.groupby('reviewCreatedVersion')['score'].mean()\n",
+        "\n",
+        "version_score.plot(grid=True, figsize=(15,5), color=sns.color_palette('coolwarm'),\n",
+        "                  marker='o', xlabel='app version', ylabel='average score',\n",
+        "                   linewidth=2,\n",
+        "                   title='Trends in App Performance across Different Versions')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 291
+        },
+        "id": "2f1C-b3Bnblg",
+        "outputId": "57097d7c-104f-42f9-bf8c-2d2a1a8363d7"
+      },
+      "execution_count": 43,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Trends in App Performance across Different Versions'}, xlabel='app version', ylabel='average score'>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 43
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1500x500 with 1 Axes>"
+            ],
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAABNEAAAHWCAYAAABZkR9hAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5jc1Ln/v9K03dlur3vF9npxwcZ00wwxGDApzqUEQhoBQm4SbhJuyA3kJkCAkPoj7QackEAAc+k4yY0Bm2LTi8E0g9drcC/rtn12p+n8/tBKOkcjaVSn+Xyex49nZ1SOpFdH57z6vu8rEEIIOBwOh8PhcDgcDofD4XA4HI4pYrEbwOFwOBwOh8PhcDgcDofD4ZQ63InG4XA4HA6Hw+FwOBwOh8Ph5IE70TgcDofD4XA4HA6Hw+FwOJw8cCcah8PhcDgcDofD4XA4HA6HkwfuRONwOBwOh8PhcDgcDofD4XDywJ1oHA6Hw+FwOBwOh8PhcDgcTh64E43D4XA4HA6Hw+FwOBwOh8PJA3eicTgcDofD4XA4HA6Hw+FwOHngTjQOh8PhcDgcDofD4XA4HA4nD9yJxuFwOByOR2644QYIguDLtiZPnoyvfOUrvmyLI9Pe3o5FixahoaEBgiBg+fLlxW4Sp0L5yle+gsmTJzPf9fX14fLLL8fo0aMhCAK+853vAAA6Ojpw/vnnY/jw4RAEAb/5zW8K3t5DBUEQcMMNNxS7GRwOh8OpALgTjcPhcDgliyAItv6tXr262E0tC77//e9DEAR87nOfK3ZTMHnyZOYajhw5Eqeccgoef/xx3/f15S9/Ge+99x5uueUW3HvvvTjmmGN83wen8lCc48q/eDyOiRMn4lOf+hTuuusuJJNJW9v56U9/irvvvhv//u//jnvvvRdf/OIXAQDf/e538dRTT+Haa6/Fvffei7PPPjvIw/HEH//4R9x99915l3vssccgCALuvPNO02VWrVoFQRDwu9/9zscWcjgcDodTGARCCCl2IzgcDofDMeK+++5j/r7nnnuwatUq3Hvvvcz3Z555JkaNGlXIpjHccMMNuPHGG+HHIzWZTEIURUQiER9apkEIwcSJExEOh9HR0YGOjg7U1dX5ug8nTJ48GU1NTfjP//xPAMCuXbuwdOlSfPzxx7j99tvx9a9/3Zf9DAwMIB6P44c//CFuvvlmX7bJOTRQ7uvbb78dtbW1SCaT2LlzJ5566im8/PLLmDNnDv7v//4PEyZMUNdJp9OQJAmxWEz97oQTTkA4HMaLL77IbH/06NE444wzcvq5UmT27Nlobm7O+8IimUxi1KhROOqoo/Dss88aLnPppZfi3nvvxa5duzBy5MgAWpvL4OAgwuEwwuFwQfbH4XA4nMqFP0k4HA6HU7J84QtfYP5+9dVXsWrVqpzv9SQSCcTj8SCbFhj05NtPVq9ejR07duDZZ5/FWWedhcceewxf/vKXA9mXXcaNG8dcyy996UuYNm0abrvtNs9OtMHBQUSjUezbtw8A0NjY6Gl7NP39/aipqfFtexwNSZKQSqVQVVVV7KaonH/++Whublb//vGPf4xly5bhS1/6Ei644AK8+uqr6m9Gzu+9e/di5syZht/7aZeZTAaSJCEajfq2TafEYjGcf/75uOuuu7Br1y6MHTuW+X1wcBCPP/44zjzzTM8ONCf9fCnZE4fD4XDKGx7OyeFwOJyy5rTTTsPs2bPx5ptv4tRTT0U8Hsd1110HQFZFXH/99Zg2bRpisRgmTJiA73//+zlhWIIg4Fvf+haWL1+O2bNnIxaLYdasWXjyySdz9vfiiy/i2GOPRVVVFaZOnYqlS5catmvVqlU4+eST0djYiNraWrS2tqrtskKfE+3uu++GIAh46aWXcPXVV2PEiBGoqanBZz/7WdVBZIdly5Zh5syZOP3003HGGWdg2bJlOcusXr0agiDgwQcfxHXXXYfRo0ejpqYGn/70p7F9+3ZmWfq8n3jiiaiursZhhx2GO+64w3ab9IwePRozZszA5s2b1e927tyJr371qxg1apR6Xf76178atvuBBx7Af//3f2PcuHGIx+O4+uqrMWnSJADANddcA0EQmHxV69atwznnnIP6+nrU1tZi4cKFjEME0M7/mjVr8I1vfAMjR47E+PHjmXPw7rvvYsGCBYjH45g2bRoeeeQRAMCaNWtw/PHHo7q6Gq2trXj66aeZbW/duhXf+MY30NraiurqagwfPhwXXHABtmzZYtgGuzbwxBNPYMGCBairq0N9fT2OPfZY3H///cwyr732Gs4++2w0NDQgHo9jwYIFeOmll/Jeo1QqhR//+Mc4+uij0dDQgJqaGpxyyil47rnncpaVJAm//e1vccQRR6CqqgojRozA2WefjbVr16rLKPfesmXLMGvWLMRiMfW+s3N90uk0brzxRrS0tKCqqgrDhw/HySefjFWrVqnL7NmzB5deeinGjx+PWCyGMWPG4DOf+UzOeXbCJZdcgssvvxyvvfYasy86J5pil5s3b8a//vUvNSxUuZ6EEPzP//yP+r1CV1cXvvOd72DChAmIxWKYNm0afv7zn0OSJHWZLVu2QBAE/OpXv8JvfvMbTJ06FbFYDB988AEAYMOGDTj//PMxbNgwVFVV4ZhjjsE//vEP5hjs2tXkyZOxfv16rFmzRm3raaedZnpuvvCFL0CSJDzwwAM5v/3rX/9Cd3c3LrnkEvW7++67D0cffTSqq6sxbNgwXHTRRZb9jb6fX7t2Lc466yw0Nzer/dBXv/pVZn2jnGhO7n87956ddnA4HA6n/OFKNA6Hw+GUPQcOHMA555yDiy66CF/4whcwatQoSJKET3/603jxxRfxta99DTNmzMB7772H2267DRs3bsxJLv/iiy/isccewze+8Q3U1dXhd7/7Hc477zxs27YNw4cPBwC89957WLRoEUaMGIEbbrgBmUwG119/fU4o6fr16/HJT34Sc+bMwU9+8hPEYjFs2rTJlpPCjKuuugpNTU24/vrrsWXLFvzmN7/Bt771LTz44IN5100mk3j00UfV0MmLL74Yl156Kfbs2YPRo0fnLH/LLbdAEAT813/9F/bu3Yvf/OY3OOOMM/D222+jurpaXa6zsxOLFy/GhRdeiIsvvhgPPfQQ/v3f/x3RaNTV5DGdTmP79u3q+e7o6MAJJ5ygOlpGjBiBJ554Apdddhl6enrUBO0KN910E6LRKL73ve8hmUxi8eLFmDx5Mr773e/i4osvxuLFi1FbWwtAvkannHIK6uvr8f3vfx+RSARLly7Faaedpjq/aL7xjW9gxIgR+PGPf4z+/n7mHHzyk5/ERRddhAsuuAC33347LrroIixbtgzf+c538PWvfx2f//zn8ctf/hLnn38+tm/frobRvvHGG3j55Zdx0UUXYfz48diyZQtuv/12nHbaafjggw9yVDZ2bODuu+/GV7/6VcyaNQvXXnstGhsbsW7dOjz55JP4/Oc/DwB49tlncc455+Doo4/G9ddfD1EUcdddd+ETn/gEXnjhBRx33HGm16inpwd33nknLr74YlxxxRXo7e3FX/7yF5x11ll4/fXXceSRR6rLXnbZZbj77rtxzjnn4PLLL0cmk8ELL7yAV199lclL9+yzz+Khhx7Ct771LTQ3N6tOGzvX54YbbsCtt96Kyy+/HMcddxx6enqwdu1avPXWWzjzzDMBAOeddx7Wr1+Pq666CpMnT8bevXuxatUqbNu2LacIgBO++MUv4k9/+hNWrlyp7otmxowZuPfee/Hd734X48ePV++/efPmqbnRzjzzTHzpS19S10kkEliwYAF27tyJK6+8EhMnTsTLL7+Ma6+9Frt3784pPnDXXXdhcHAQX/va1xCLxTBs2DCsX78eJ510EsaNG4cf/OAHqKmpwUMPPYQlS5bg0UcfxWc/+1lmG/ns6je/+Q2uuuoq1NbW4oc//CEAWIbPn3rqqRg/fjzuv/9+XH311cxv999/P+LxOJYsWQJA7mt+9KMf4cILL8Tll1+Offv24fe//z1OPfVUrFu3jlHqGfXze/fuVfvkH/zgB2hsbMSWLVvw2GOPWV47p/d/vnPkth0cDofDKUMIh8PhcDhlwje/+U2if3QtWLCAACB33HEH8/29995LRFEkL7zwAvP9HXfcQQCQl156Sf0OAIlGo2TTpk3qd++88w4BQH7/+9+r3y1ZsoRUVVWRrVu3qt998MEHJBQKMe267bbbCACyb98+x8c4adIk8uUvf1n9+6677iIAyBlnnEEkSVK//+53v0tCoRDp6urKu81HHnmEACDt7e2EEEJ6enpIVVUVue2225jlnnvuOQKAjBs3jvT09KjfP/TQQwQA+e1vf6t+p5z3X//61+p3yWSSHHnkkWTkyJEklUrlPc5FixaRffv2kX379pF33nmHXHTRRQQAueqqqwghhFx22WVkzJgxZP/+/cy6F110EWloaCCJRIJp95QpU9TvFDZv3kwAkF/+8pfM90uWLCHRaJR89NFH6ne7du0idXV15NRTT1W/U87/ySefTDKZDLMN5Rzcf//96ncbNmwgAIgoiuTVV19Vv3/qqacIAHLXXXep3+nbSgghr7zyCgFA7rnnnpw25LOBrq4uUldXR44//ngyMDDAbFdZT5Ik0tLSQs466yxmW4lEghx22GHkzDPPzGkTTSaTIclkkvmus7OTjBo1inz1q19Vv3v22WcJAPIf//EfOdug96ucq/Xr1zPL2L0+c+fOJeeee65pezs7Ow2vvx2uv/56y/tY2fZnP/tZ9bsvf/nLZNKkScxykyZNMmwjAPLNb36T+e6mm24iNTU1ZOPGjcz3P/jBD0goFCLbtm0jhGh2XV9fT/bu3cssu3DhQnLEEUeQwcFB9TtJksiJJ55IWlpa1O+c9C2zZs0iCxYsMDwPRlxzzTUEAGlra1O/6+7uJlVVVeTiiy8mhBCyZcsWEgqFyC233MKs+95775FwOMx8b9bPP/744wQAeeONNyzbA4Bcf/316t9O7/9858huOzgcDodT/vBwTg6Hw+GUPbFYDJdeeinz3cMPP4wZM2bg8MMPx/79+9V/n/jEJwAgJ/zsjDPOwNSpU9W/58yZg/r6enz88ccAgGw2i6eeegpLlizBxIkT1eVmzJiBs846i9mWop74+9//zoRgeeFrX/saE/J1yimnIJvNYuvWrXnXXbZsGY455hhMmzYNAFBXV4dzzz3XMKQTkHOT0UUHzj//fIwZMwYrVqxglguHw7jyyivVv6PRKK688krs3bsXb775Zt52rVy5EiNGjMCIESMwd+5cPPzww/jiF7+In//85yCE4NFHH8WnPvUpEEKYa3jWWWehu7sbb731FrO9L3/5y4xSzoxsNouVK1diyZIlmDJlivr9mDFj8PnPfx4vvvgienp6mHWuuOIKhEKhnG3V1tbioosuUv9ubW1FY2MjZsyYwahZlM+KPQFg2ppOp3HgwAFMmzYNjY2NOccG5LeBVatWobe3Fz/4wQ9yckAp67399ttob2/H5z//eRw4cEA9p/39/Vi4cCGef/55S5sNhUJqzi1JknDw4EFkMhkcc8wxTJsfffRRCIKA66+/Pmcb9DEAwIIFC5icYU6uT2NjI9avX4/29nbD9lZXVyMajWL16tXo7Ow0PS43KKrG3t5e37b58MMP45RTTkFTUxNj82eccQay2Syef/55ZvnzzjsPI0aMUP8+ePAgnn32WVx44YXo7e1V1z9w4ADOOusstLe3Y+fOncw2vPQtZii5Dukw4kcffRSDg4NqKOdjjz0GSZJw4YUXMsc6evRotLS05PTRRv280tf+3//9H9LptK22ubn/850jN+3gcDgcTnnCnWgcDofDKXvGjRuXk0y7vb0d69evV500yr/p06cDkMNvaGjHmEJTU5M68d63bx8GBgbQ0tKSs1xrayvz9+c+9zmcdNJJuPzyyzFq1ChcdNFFeOihhzw51PTta2pqAoC8joGuri6sWLECCxYswKZNm9R/J510EtauXYuNGzfmrKM/RkEQMG3atJwcUmPHjs1JsK+cXzv5po4//nisWrUKTz/9NF5++WXs378f99xzD6qrq7Fv3z50dXXhT3/6U841VCbS+mt42GGH5d0nIF/LRCKRc90A2SkqSVJOTiazbY8fPz7HKdTQ0MBUbFS+A9jrNTAwgB//+Mdq7qvm5maMGDECXV1d6O7uztlXPhv46KOPAMiVFM1QnE1f/vKXc87rnXfeiWQyabhvmr/97W+YM2eOmoNsxIgRaq4rhY8++ghjx47FsGHDLLcF5J5bJ9fnJz/5Cbq6ujB9+nQcccQRuOaaa/Duu++qy8diMfz85z/HE088gVGjRuHUU0/FL37xC+zZsydvu/LR19cHAL5WuW1vb8eTTz6Zc23OOOMMAPltftOmTSCE4Ec/+lHONhSHZr6+z27fYsWcOXMwe/Zs/O///q/63f3334/m5mb1pUN7ezsIIWhpaclp64cffpjTTqN+fsGCBTjvvPNw4403orm5GZ/5zGdw11135eS9pHFz/+c7R27aweFwOJzyhOdE43A4HE7ZY6Q+kiQJRxxxBP7f//t/huvonRxGKiMAIIS4as/zzz+P5557Dv/617/w5JNP4sEHH8QnPvEJrFy50nRfVrht38MPP4xkMolf//rX+PWvf53z+7Jly3DjjTc6bo8fNDc3q84BPYrD8Qtf+IJpFdE5c+Ywf9tRobnFbNtm18XO9brqqqtw11134Tvf+Q7mz5+PhoYGCIKAiy66yNDh6oeNKtv95S9/yeQvo1EUVkbcd999+MpXvoIlS5bgmmuuwciRIxEKhXDrrbeqTjyneLlup556Kj766CP8/e9/x8qVK3HnnXfitttuwx133IHLL78cAPCd73wHn/rUp7B8+XI89dRT+NGPfoRbb70Vzz77LObNm+d63++//z4AqApPP5AkCWeeeSa+//3vG/6uOKkV9OdOub7f+973chSyCvr2+tn30XzhC1/AD37wA6xduxbjx4/Hc889hyuvvBLhcFhtqyAIeOKJJ0xVnjRGdiIIAh555BG8+uqr+Oc//4mnnnoKX/3qV/HrX/8ar776qqUtOyHfOSpUOzgcDodTfLgTjcPhcDgVydSpU/HOO+9g4cKFOUohN4wYMQLV1dWGYWNtbW0534miiIULF2LhwoX4f//v/+GnP/0pfvjDH+K5554zdRwFwbJlyzB79mzDsLqlS5fi/vvvz3Gi6Y+REIJNmzblOK127dqF/v5+Ro2mKNu8JGwH5PNdV1eHbDbr+/kaMWIE4vG44XXbsGEDRFHMcbIGwSOPPIIvf/nLjHNzcHAQXV1drranhCO///77po4dZZn6+npX5/WRRx7BlClT8NhjjzH3ld6+pk6diqeeegoHDx60pUajcXp9hg0bhksvvRSXXnop+vr6cOqpp+KGG25QnWhKe/7zP/8T//mf/4n29nYceeSR+PWvf4377rvPUdto7r33XgAwdVa5YerUqejr63Nt80p4YiQS8fW+cdOHXnzxxbj22mtx//33Y9KkSchms0xVzqlTp4IQgsMOOyzHOeiUE044ASeccAJuueUW3H///bjkkkvwwAMPMDagEOT976QdHA6HwylPeDgnh8PhcCqSCy+8EDt37sSf//znnN8GBgaYCot2CIVCOOuss7B8+XJs27ZN/f7DDz/EU089xSx78ODBnPUV1U8hw3u2b9+O559/HhdeeCHOP//8nH+XXnopNm3ahNdee41Z75577mHyPD3yyCPYvXs3zjnnHGa5TCaDpUuXqn+nUiksXboUI0aMwNFHH+2p7aFQCOeddx4effRRVfFDs2/fPk/bXrRoEf7+978zYacdHR24//77cfLJJ6O+vt719p20Q6/2+f3vf49sNutqe4sWLUJdXR1uvfVWDA4OMr8p+zn66KMxdepU/OpXv1LDEWnynVdFkUO3+7XXXsMrr7zCLHfeeeeBEGKocsyncHJyfQ4cOMCsW1tbi2nTpqn3WSKRyDkXU6dORV1dnad78f7778edd96J+fPnY+HCha63o+fCCy/EK6+8ktOnAHJodiaTsVx/5MiROO2007B06VLs3r0753e3901NTY1j5+7EiRNxyimn4MEHH8R9992Hww47DCeeeKL6+7/9278hFArhxhtvzLEJQkjOtTWis7MzZ918fW0Q97+bdnA4HA6nPOFKNA6Hw+FUJF/84hfx0EMP4etf/zqee+45nHTSSchms9iwYQMeeughPPXUUzjmmGMcbfPGG2/Ek08+iVNOOQXf+MY3kMlk8Pvf/x6zZs1i8jD95Cc/wfPPP49zzz0XkyZNwt69e/HHP/4R48ePx8knn+z3oZpy//33gxCCT3/604a/L168GOFwGMuWLWOS4A8bNgwnn3wyLr30UnR0dOA3v/kNpk2bhiuuuIJZf+zYsfj5z3+OLVu2YPr06XjwwQfx9ttv409/+hMikYjn9v/sZz/Dc889h+OPPx5XXHEFZs6ciYMHD+Ktt97C008/beistMvNN9+MVatW4eSTT8Y3vvENhMNhLF26FMlkEr/4xS88t90On/zkJ3HvvfeioaEBM2fOxCuvvIKnn34aw4cPd7W9+vp63Hbbbbj88stx7LHH4vOf/zyamprwzjvvIJFI4G9/+xtEUcSdd96Jc845B7NmzcKll16KcePGYefOnXjuuedQX1+Pf/7zn5Ztfuyxx/DZz34W5557LjZv3ow77rgDM2fOZJxyp59+Or74xS/id7/7Hdrb23H22WdDkiS88MILOP300/Gtb33L8ljsXp+ZM2fitNNOw9FHH41hw4Zh7dq1eOSRR9Ttb9y4EQsXLsSFF16ImTNnIhwO4/HHH0dHRwdTEMKKRx55BLW1tUilUti5cyeeeuopvPTSS2oxDD+55ppr8I9//AOf/OQn8ZWvfAVHH300+vv78d577+GRRx7Bli1b0NzcbLmN//mf/8HJJ5+MI444AldccQWmTJmCjo4OvPLKK9ixYwfeeecdx+06+uijcfvtt+Pmm2/GtGnTMHLkSLVIixVf+MIX8LWvfQ27du3CD3/4Q+a3qVOn4uabb8a1116LLVu2YMmSJairq8PmzZvx+OOP42tf+xq+973vWW7/b3/7G/74xz/is5/9LKZOnYre3l78+c9/Rn19PRYvXmy6nt/3v9t2cDgcDqf84E40DofD4VQkoihi+fLluO2223DPPffg8ccfRzwex5QpU/Dtb3/bVfjQnDlz8NRTT+Hqq6/Gj3/8Y4wfPx433ngjdu/ezTjRPv3pT2PLli3461//iv3796O5uRkLFizAjTfeqCaYLwTLli3DxIkTMXfuXMPfGxsbcfLJJ+PBBx9kcsddd911ePfdd3Hrrbeit7cXCxcuxB//+EfE43Fm/aamJvztb3/DVVddhT//+c8YNWoU/vCHP+Q429wyatQovP766/jJT36Cxx57DH/84x8xfPhwzJo1Cz//+c89bXvWrFl44YUXcO211+LWW2+FJEk4/vjjcd999zEOxSD57W9/i1AohGXLlmFwcBAnnXQSnn76aU/hgZdddhlGjhyJn/3sZ7jpppsQiURw+OGH47vf/a66zGmnnYZXXnkFN910E/7whz+gr68Po0ePxvHHH89UWzXiK1/5Cvbs2YOlS5fiqaeewsyZM3Hffffh4YcfxurVq5ll77rrLsyZMwd/+ctfcM0116ChoQHHHHMMo0Yyw+71+Y//+A/84x//wMqVK5FMJjFp0iTcfPPNuOaaawDIuQ8vvvhiPPPMM7j33nsRDodx+OGH46GHHsJ5551n65z++7//OwCgqqoKzc3NOPLII/HXv/4Vn//85xGLxWxtwy7xeBxr1qzBT3/6Uzz88MO45557UF9fj+nTp9vuP2bOnIm1a9fixhtvxN13340DBw5g5MiRmDdvHn784x+7atePf/xjbN26Fb/4xS/Q29uLBQsW2HKinX/++bjqqquQTCaZUE6FH/zgB5g+fTpuu+02VbU4YcIELFq0yNT5T7NgwQK8/vrreOCBB9DR0YGGhgYcd9xxWLZsmWWhEb/vf7ft4HA4HE75IRCvWUM5HA6Hw+FUBKtXr8bpp5+Ohx9+GOeff77lsqeddhr2799vGGrJ4XA4HA6Hw+FUIjwnGofD4XA4HA6Hw+FwOBwOh5MH7kTjcDgcDofD4XA4HA6Hw+Fw8sCdaBwOh8PhcDgcDofD4XA4HE4eeE40DofD4XA4HA6Hw+FwOBwOJw9cicbhcDgcDofD4XA4HA6Hw+HkgTvROBwOh8PhcDgcDofD4XA4nDyEi92AQiNJEnbt2oW6ujoIglDs5nA4HA6Hw+FwOBwOh8PhcIoIIQS9vb0YO3YsRNFcb3bIOdF27dqFCRMmFLsZHA6Hw+FwOBwOh8PhcDicEmL79u0YP3686e+HnBOtrq4OgHxi6uvri9waf0in01i5ciUWLVqESCRS7OZwKgRuV5wg4HbFCQJuV5wg4HbFCQJuV5wg4HbF8ZtD0aZ6enowYcIE1WdkxiHnRFNCOOvr6yvKiRaPx1FfX3/IGDgneLhdcYKA2xUnCLhdcYKA2xUnCLhdcYKA2xXHbw5lm8qX9osXFuBwOBwOh8PhcDgcDofD4XDywJ1oHA6Hw+FwOBwOh8PhcDgcTh64E43D4XA4HA6Hw+FwOBwOh8PJA3eicTgcDofD4XA4HA6Hw+FwOHngTjQOh8PhcDgcDofD4XA4HA4nD9yJxuFwOBwOh8PhcDgcDofD4eSBO9E4HA6Hw+FwOBwOh8PhcDicPHAnGofD4XA4HA6Hw+FwOBwOh5MH7kTjcDgcDofD4XA4HA6Hw+Fw8hAudgM43pAkgvbtGezqGYH27RkcPjkMURSK3SyOAySJoH1HBj19BPW1AlrG27+GXtbNu90i2JXV8eQ71qDOhZc2c0qfSrQbL/cRp/iU4jPBK6XarkOJUr0G5WjvpXouKw1+njkcTqlSVCfaDTfcgBtvvJH5rrW1FRs2bDBd5+GHH8aPfvQjbNmyBS0tLfj5z3+OxYsXB93UkmRdWwoPPpNAVy8BMAPvPDyIxrokPrcwjnmt0WI3j2MD9hrKNNYJtq6hl3Xtb7dwdmV1PAAsjzWoc+GlzfweLH0q0W683Eec4lOKzwSvlGq7DiVK9RqUo72X6rmsNPh55nA4pUzRwzlnzZqF3bt3q/9efPFF02VffvllXHzxxbjsssuwbt06LFmyBEuWLMH7779fwBaXBuvaUli6vJ95uABAVy/B0uX9WNeWKlLLOHbxcg2Duv7Fsqt8+7X67dHnEiXZZn4Pljalaute9uvlPuL2WnxK8ZnglVJt16FEqV6DcrT3Uj2XlQY/zxwOp9QpuhMtHA5j9OjR6r/m5mbTZX/729/i7LPPxjXXXIMZM2bgpptuwlFHHYU//OEPBWxx8ZEkggefSVgu89AzCUgSsVyGUzy8XMOgrn+x7MrOfq14+o2k5e/FajO/B0uXUrZ1t/v1eh9xey0upfhM8EqptutQolSvQTnae6mey0qDn2cOh1MOFD0nWnt7O8aOHYuqqirMnz8ft956KyZOnGi47CuvvIKrr76a+e6ss87C8uXLTbefTCaRTGqT7J6eHgBAOp1GOp32fgBFoH17JuftjJ7OXoINWwbRMqHol5hjgJdrGNT1L5Zd2dmvFSTPqsVqM78HjVH63WL2v6Vs62736/U+Knd7LQW78kIpPhO8UqrtcsKhbFdBUo727ud+y92ugqRUbbYc4HbF8ZtD0absHmtRe5/jjz8ed999N1pbW7F7927ceOONOOWUU/D++++jrq4uZ/k9e/Zg1KhRzHejRo3Cnj17TPdx66235uRdA4CVK1ciHo97P4gisKtnBIAZeZdb89I6tNfvC75BHMd4uYZBXf9i2ZXd/XqhWG3m96A5q1atKtq+S93W3ezXj/uoEuy1mHblhVJ8JnilVNvlhkPRroKkHO09iP2Wq10FSanabDnB7YrjN4eSTSUS9qI6iupEO+ecc9TPc+bMwfHHH49JkybhoYcewmWXXebLPq699lpGvdbT04MJEyZg0aJFqK+v92UfhaZ9ewbvPDyYd7kFJ83jb2lKFC/XMKjrXyy7srtfLxSrzfwezCWdTmPVqlU488wzEYlEitKGUrd1N/v14z4qZ3stBbvyQik+E7xSqu1ywqFsV0FSjvbu537L3a6CpFRtthzgdsXxm0PRppSoxXyUVO/T2NiI6dOnY9OmTYa/jx49Gh0dHcx3HR0dGD16tOk2Y7EYYrFYzveRSKRsjeHwyWE01iUt5c5NdQIOn1zFS0GXKF6uYVDXv1h2ZWe/VgiCdUhnsdrM70FritkHl7Ktu92v1/uoUuy1XJ/tpfhM8EqptssNh6JdlWq7Kqn/Lle7CpJStdlygtsVx28OJZuye5xFLyxA09fXh48++ghjxowx/H3+/Pl45plnmO9WrVqF+fPnF6J5JYMoyiWerbhwYZw/XEoYL9cwqOtfLLuys18rzjg210lOU6w283uwdCllW3e7X6/3EbfX4lKKzwSvlGq7DiVK9RqUo72X6rmsNPh55nA45UBRnWjf+973sGbNGmzZsgUvv/wyPvvZzyIUCuHiiy8GAHzpS1/Ctddeqy7/7W9/G08++SR+/etfY8OGDbjhhhuwdu1afOtb3yrWIRSNea1RXLmkBnVx9iHSVCfgyiU1mNcaLVLLOHZRrqEeO9fQy7p22lSl80sFbVfKfkMh4/1euaQGjXXGtn7e6XFcuaQGNdWFvReUNsd0m+f3YHmgXL94VXHsJoi+W9l2VPcSzc59xO21+HixSWXdQveD+VDaJepGm8Vu16GE+lwvsWeV+tx3YRvKuoLOjxL0MR05PYJ4Ve73xT6Xlca81iiWLMg90fw8czicUqGo4Zw7duzAxRdfjAMHDmDEiBE4+eST8eqrr2LEiBEAgG3btkGkRl4nnngi7r//fvz3f/83rrvuOrS0tGD58uWYPXt2sQ6hqMxrjWJkk4ib7uoFAMyYLOKqC+r525kyYl5rFOFQPzJZ+e9vnl+DWYdFbF3Dea1RhMR+ZCX576suqMGMyfbWzbfdXfsz+OeLclXbow8P4bJP1QVuV/Naoxi+JoG9nQSREPCtC2vRMj6s7nduSwTtOzLo6SOorxWY3+a1RhEKAX98tB8AcMLsCL50Tk1B2rxpRxrPrE0BAE6aE8ElZwW/X44/zGuNYl9XFo+tlvOvxKuAW77eUBC7iVcBtz3Qr35385X1COlnky63vW5jCq9/IFcXuvSTcRw7I8rcR//5uy4MJIH6GqEgx8uxz7zWKA50Z/HIc7JNVsfs2+S81ijSWYK//lNOijtqmIjrLyv+mGBeaxTD6hPY3yWHZ00aJeK/vlT8dh1KzGuN4uNdaax6XX5WTRgl4toSuAbzWqMY0ZjAnoOybZx3ehUWHmMvTG9eaxRV0X4MyEMVXHRGNU6dFwv0mPZ2Skjo0nXNnx3BFwsw3jjUGDOcfat6+adrcFSr9zEuh8Ph+EFRnWgPPPCA5e+rV6/O+e6CCy7ABRdcEFCLyo9IRHuY1FSJ/OFShkhU2ocp48KOriG7rn+DC0nSttNYUzi76hsqiNJYL6J1IiunEUUh5zuaSFhrY1NdqGBtlkhx9svxh74B7SYSBKFg1y+TZfeTlYQcJaZbJEn7PG0826eIooBoRMBAkiAkgttrCTKQ0j5LkrNrpLyQAYBopHD2nI90hvqc5XZXDAaT2udouHRsQ36Gyv3wqGHOnqG0vY9pDv7527Ytk/NdLMrH3kHQ08/mRJswio+vOBxO6VBSOdE4zgmHtAdKVrJYkFOSEEKYCW82a76sHkkiTEL9TNZdQnEjMpLx5yDJZAkSSfkY9KFudghTDgg/z0U+6H0V6lxx/KOXGqhnC2g3yTSx/NsLtB3Szwj9d/yZUZokBjVbSKXl54RdUuni2HM+kimtLW6LX3C80U/ZVcbBWCNo6Lak0vbXkwhhnbO5/i3fadua28DeBO9Ig6Cnnz2vpWSzHA6Hw51oZQ4d/VNKA2aOPfSTWCdONC/r5t02ZUtZqTB21ZvQ9lMXd941hcTiOJQz1MCd34PlBz0BKqTdpAJ0otF9gVGEqPKdn30Gxz8GkpotEDhzDiSpOX6pOEkJIYxzJJEkjFONUxhou0pnSuf802MMfb9oRVrnz0oH/PyVCMHGISVajBLF02MXjn9065RohXw5yuFwOPngTrQyhw7/KZUBM8c++jdrGQcOKy/r5iPrUh3nBdqZ4UaJxjqU/WiRPTJFOFcc/6AnQIV8053UTQBTKePl3EA7c0MGSjTlXvGzz+D4B61EA5w5WFOp0lMbZbJs6gEA6OrjA5ZCkyhRJRr93Ew5cO7pl80ErETbvV9SnxetkyJqAZfefm7LQZCjRCuA0pDD4XDswp1oZU6x1Dccf9CrvJwp0dyvm3fbjBLNv+1a0edVicY4lAvnHCjGueL4B+1EI0QOky4EeiWOr0o0yg6NlGhqOGcJTaQ5Gl6caMkSDOc0Uhd19vLOstAkkiXqRKNMwUk4p16h6cQB54YNVChn68SwOk6h82py/CM3nJOfZw6HUzpwJ1qZQ+eB4hOi8kN/zZw4YXLW9fH60wPsQg22vSvRtHUKOUFgzxUf5JUThJCcfDaFcoTqHQtOwpjykWGUaLm/i0Pf8WdGaZIYZI3QiUqRyYlWIn4qveoSALq4E63g0M7ZUgrnpPsrJ+3S95lBH9NGqqhA66SwOk7pS5CCvXw5lNAXFiglxy+Hw+FwJ1qZQ6sMeGhO+ZHrCLN/DXNyogUUzlmowSGd4N2NEi1cpNDmDFeilS3JdK6aoVCOpSALCyh2KAAwKmYWHrq9CAp3f3PsQ+euApwq0bTPpeIkNXIQd/VxuyskhBAMlGo4J6NEc+9ECzLcT5K0fGi11QLGjgip4xQCrkbzG0IIV6JxOJyShjvRyhxRFCAMTZJKZcDMsY/e8elkYKsfUPg5KKadeUVRotW4UKLRlWoLONii77tSCZ/i2MOoqlqhXkbow5achDHlQ7HJUAgQBIOcaKHiqDY59tCHc7p1LJTKizUjJyAP5ywsyRSbl65UHBL6CuUpB44w/bJBFhbY3pFVndvTJ4YhCgKjmOfFBfwlmcp9JvJnFYfDKSW4E60CUCut8TFp2ZEbzulAieYhFDTvtiXjz0HivTqn9pkr0Th26O3Pvd8qQ4kmb8solBPQlGjysr7tluMD2SzJCX90nxPNr1Z5w1CJxp1oBSWRzFVtEVJ8x4++//GiRHNSxdYpG5hQTrmiQF2N1pEavZDhuKfboFhDqTh+ORwOB+BOtIqAO9HKl5yQTE+FBfzMqURv17fNWsI60dwo0bTPhRxsFSN/HMcfjCY+lZETTf4/ZBTLieKpNjn50Ts7AGcqRXrZrFQajpKkQU437kQrLPoQYYLSGDPqn5nOlGiFy4nWpisqAAB11ZQSzeCFDMc9+lBOgFfn5HA4pQV3olUAITVJNH+Ilxv6a+apsICvSjRi+DlIeoYcGgLknCNOCdOVaotUWKCQVUE53jEKwSlUP5qrRPNv20pfEDZRooWKlD+Qkx99KCfgXokGgAmVKxZG7e/qK4GGHULoi1UApeGU0D8znbxMSOv6zKCUaJkswUc75I031AoYNUyeOtFpJ7gSzV/0RQWAYMN1ORwOxynhYjeA4x1ZbUD4ZKgM0b+FdaKg8rJuPrLFUKINDZpq4wJEEwWNFcVyDNBOl1IJn+LYwzAnWoGuYU5OtJT/1TlDJq/JmII0fGJSUugVQ4DHZOtZ87DeQmHU/p4+gmyWMKpITnAYOWfle7+451//zCzF6pxbdmfVlxyHT4qoeSbptBOFyokmSQTtOzLo6SOorxXQMj7sarxU6hgq0fj4isPhlBDciVYBKGoD/oApP3JCMp0o0Tysm3/bwWzXDEKI6tBwE8oJ6HKiFTKcswj54zj+YJgTrUBqwiBzoinqIzMHRZgO5+Q2W1IYK9Hsr59M6Z8LxXeUGNk2AdDdTzCsvvIcAKWIkV0FmUPMLnonmqPQ5UyuwzgIjEI5AegKCwTfka5rS+HBZxLo6tWOu7FOwOcWxjGvNRr4/gtJdxHzlXI4HI4deDhnBaA4DyQeSlZ25IRkOqrO6X7d/NsubHXOZFob0LspKgCwlWozBXQMZDL0ueL3YDlhmBOtUEo0nbMjmJxoxr+zSjTfdsvxASNnhxOVYilWtKPb1FCrOR54XrTCYZRrrxSeV/oKsnrHmBX6/Gl+9qE0bVRRgemTaCda4ZRo69pSWLq8n3GgAUBXL8HS5f1Y12aQeLCM6TEI9y4Fe61UJImgbVsab3yQQtu2NJ9Pcjg24Eq0CiDElWhlS05hASfVOT2s62TbhVDm0M4Mt0o0QFZlpjOFfWNZjEqmHH8wzIlWoGsYbE40edthEyUaHd7HB8ulhZGzw0tOtFLok+g2jWwKobtPdkp0cidawTBUopXAmDFXieYtdNlvUmmCj3fK9trcIKK5Qes8a2klmkH4oV9IEsGDzyQsl3nomQTmtkQqJrTTKJyzFOy1EjmUFI4cjp9wJVoFoFRgK4XBMscZ+jdrTgaB+pBFPweQTJ6vAtgVHVZHl413ilqptkjVOXm4QXlh5EQr1NtuvWLIz3DO/Eo0IWdZTmkwYKREs2kb2WxubtRSKDhEt19Jyg7w4gKFxMiuMgFWs7SL3l6dhJgWIifax7syah/ZOonVHYRDAuJVcl8apBKtfUcmR4Gmp7NXzpVWKRgVFigFe600DjWFI4fjJ9yJVgFo1TmL2w6Oc3LVZIVZ18m2C2FXtBLNTWVOBSUHVCEdyhmmsAAf5JUThuGcRVKi+RWKRAihcqIZL0NX7eTPjdLCqIqiXZWikSO2FF6u0e0fNUwzPh7OWTiMwzmL0BAd+memo+qcGf3f/j9/27ZqO2mdFMn5XVHOB5kTrafP3nHZXa4c6OaFBQLHrsKRq9U5HGO4E60CUHOiEUAivLMrJ/QTWGfVOXVhOz46cBh1VQHmOX3UW1w/lGiFzJ1R6HPF8QeJEMbuFAoxUJckkrMfv5RotA2GTEJ7mJxofIBcUngJ5zRytpXCxNNUicadaAXDOJyz+Pe+3j4d5UTLUaL50SIWs6ICCkpetMFUcNVB62vtvVi0u1ypIxGiKvtEXkk6MA5FhSOH4yfciVYBhJmqhMVrB8c5ORU2nYRz5oTt+NAgdVuFVVf5lxOtsEo0SSKg/dZ8kFc+JAYJjPxHhcgBaOTscFKVzgq6HwibKNHoqp38mVFaGBYWsOlEM1quUNVmraArho5s0oyyM88EjuMfRnaVKYG5sd4+U2lZTWsHvcPNTyeWJBG8tymFzbvkDnJUk4CG2twpE1uhMxh7bhkfRmOd9bioqU5Ay/jKSHOdGNDU1MPqtHNeCi8EKolDUeHI4fgJd6JVACI9IeIvdsuKnOqcTgoL5KzrQ4MMtlWISpc9tBLNZXVOgMqJVqD7IKdCKr//yoZeg5wrQGGcSkbODr+UaLSyzE51Tm6zpYVR7ir7SjQDJ1oJTDxpe6+LC4jH5DELz4lWOAYMFI6loETT9z+E2O+T9C8e/Eo8v64thevu6Mb/PNoP5Qx19hHD/FC0cj6okE5RlJO8W3HhwnjFFBXopp7NwxpoJ1rx7bWSONQUjhyO33AnWgXAKtH4Q6ac0DuonCnR9IUFfKzOSbVDKsA8pzfBTrLcouUHLMx9EKQakBMs9ISHyRFWAHs3cnb4lRONtsGQSXXOMKNE48+MUqJ/yNkhQAtlsqtSNFquFJyktPIyGhFUVU1Xr2RbdcTxhlGuvZJQohk8M+32hXrlmR9KNLNE66k0DBOtM0o0kxczfjCvNYpFx8Vyvm+qE3DlkpqKqqJIV+YcVs+VaEHRMj6MhjwOskpSOHI4fsOdaBVAqMATQI5/5FTYdFJYIFAlmtauTNZ+eIVb6PLw9Z5yohU2nFM/aC+F0CmOPWjHbSMVMlIIp5KhEi3lkxONyYlmvAyTE41PTEoKRYlWXSWgKiL3Z7aVaAY2VArqDcXeRUF2WCv3WyYL9A8Uv32HAsaFBYp/7o2emfadxrrxk0enoJtE62w4Z7ADj4Y6tkM/Z34Vbvl6Q0U50AALJxqvzukroiigdWJusQyaSlI4cjh+w51oFQCfEJUvOeGATgoL5KiggiksAMAwd5SfKA6NcAio8jAeVBRFhboPcgtDFGa/HO/QE56mAuddSRpUjXeSC8gKuh8wz4lGLc8dvyWFEnYXjwmIDs1vPOVEK4E+SXECRiOAIAjM/cZDOoMnKxHDPieIRPxOMepv7RYXSGX0f3vry9wkWqfTTwSVE03hYDd7rzTUChXp4OimcnAN50q0wMhKBO3bjT3Wlahw5HD8hms0KwC6AhufEJUX+tLRjsI59dU5fZqLEEIMwxTNVC1+oDg06uICBMFDOOdQGwmRz23QA0x9ZUOuBC0f6NCbxtrC9qFGyiKJyJOEiMenMqNEMwnnDPE8miUJIQT9lBJNVuQQ2ypFw5xoJTAmUJx7sahsd41UgvbOXoLxI4vSrEMGozx7QIko0QzGPHade0ZKNEKI6zGEm0TrhVSiHexht2+U564SYJRoDdyJFhRvb0yrxV3qa4Cefvn7edMjuOIzNRXpoOVw/IQr0SoARlXAHzJlhZfE9EGpoIxyoAU50ZYIQd/QG1wvRQWAwjsH9OEjivOOU/rQEx42nDP4fZspi/zIi0b3A2aOb17RuTRJpbX+N14lIDoUzqlX3Fitr6cUrq+SE005Hvp+6+rlXtygoUM5aXVqKTgljMM57eZEY/8m8Pbcd5NovZBKtAM6J5pRxdVKoId6wUWrVkuhEEYl8ezaQfXzZ07VClcQgDvQOBwbcCdaBcArrZUvOYovJ9U5PazrZLtAsHmiEoNEDRf1UlQA0N0LBZggGJ1zfg+WB0xONEoZU6zCAvL33rdN26S5Es14eU5xoSfF8ZiA2JDTSZLsqYaMlWj+tc8tqhKNO9GKAm1XdM5RPxLxe8VLYQGj5byEqLaMD6tFL8zQJ1qvq6ELCwSsROs+9JRoDbWi6vgthRcClcLWPRl8tFM+oWObRZwwKwrFb6ZXPHI4HGO4E60CoCutlYI8n2Mf/fVy8mZYv65fAwwjGwryjTUdVlfnoagAoHvLXgDngNF5KYW3+5z8mBUWKEQfapY42w8lGt0PhE0LC9DPDM+75PgErRiSlWjab3aKCxjZT7HHBFmJqDamHE8T5ajo5E60wGGdaKV17xsVU7KtvDRwAnpxDIqigM8tjFsuo0+0Hq8SVOdDkEq0ZIqgT1eEo3KVaLJRRMJyjlw1120JOH0rhWfXJtXPpx9dhVBIUMdBndyJxuHYgjvRKoBCq284/pGrJivMuk62K38X3OCFDqvzrESjwzkLcC8YTUK4sqc8UOyuKgpURQsbBkw7O+JV2r7tVmG0gs2JZrwMr+hcmiQGtYtRTSnRACBlkBheTykq0WiHsaESjRcWCBwzJVqxHayAscrdzssEQojhywiv6rp5rVFcuaQGUV1uSrNE66IgoHZo3BJkTjQjdVClKtG6+5U8XSIEQVCFAqXg9K0EuvskrP1QfqDEqwQcP0u2aaUSam+C+PJCj8OpdHhhgQqAh+aUL3pHj5OwSf2yfg2IC62uot/ees6JVuDQZqNzzh3Z5YGigKyLi4yCsRDXj3Z21MUFdZLrT060/OGcYcbZzJ8ZpcKATonWm3DmYDUKBy52f0TbtJITraZKQDgkP1d4OGfw0HZFK9FKtTqnHUeY2ZjEj2Oa1xrFmnWD2LBV3sm/n1eDI6ZETPNE1cVF9PRn0ZsgngobWGHkREtUoBMtkyXoH1CcaPJ5VJ7PPCeaP7zwdlIdH588N6r2y01UJdSDPRJGDzd5C1cGSJJcRbenj6C+Vg7B5nneOH7DnWgVAFeilS96p2dpKNEKq2YITokW/IDL6H4rtvKDk59MlqgTkLq4oCtIUdhwzrq4iI6DUs73bqFt0qywAH9mlCZMTrQqATEqnNOOgzVlUMWz2C/WaOefokQTBDl0aH+XhK5ePjEOmgTjRCstJZpRIR47/aDZ/eDXMfUm5P/DIWDO1IilY0wZt2SywGAKqI750gQGfVEBwLzqajlDp/dQbDUcFgAQrkTzgXSG4Pm35VBOUQBOO6pK/W1YhTjR1rWl8OAzCebZ0lgnh2rrlaQcjhd4OGcFUOiKhBz/0A8KnAwAcyp7+jTAMHQMBTjYppVotT4q0Qox4DLOH1d5A9tKg1E/1ogFtxu9Es3oe7cwhQVsONGMchJxigPrRBNVhQBgV4lW2HyWdkgxTjTte6XqXiJJkDRw/nH8wzQnWokq0Ww5jE0cbX6p65S8XEpIoRV0LteegIoL6IsKAJUZzskUFdAp0fjYyj2SRNC2LY2Hn0mo1U+PnB5hHGf053LNi7auLYWly/tzXs509RIsXd6PdW028iJwODbhSrQKgJ0A8odMOZGjJnMw4clRsfl07QutrqIdGvUelWjhAoc2G+ZE429LSx69+rHQOcLoSSI9AfO9sIBpdU4ezlmK0M6OnJxoNtQ5Rg6EYr9YS1JzFtop2Firfe7qkzBqWHmqHsqBASrXHlOdswTufSP7NCoYYHcZO+vmI5sl6EuwIYVW0C9CehMEo4Z5bkIOtBItGpH7g8RgcOGjxaKHHg8O2WpEyYlWAk7fcsRImQUA40eyfa5eiVZuSBLBg88kLJd56JkE5raYh2ZzOE7gSrQKIMyTRJct+gmso3BOvYrNp2tvVNUy2OqclEPDY3VOuupgYQoLlF74FCc/fbo8fGGxsE4lcyWa921nnIZz8mdGycBU54wJiEa9K9GK7SQ1CucEdMUFeF60QDEvLFCM1rAYPUPtVOc0y5vmh6OlN0GgbL3expiEfvnXF1BxgYPd2sUa2ywP+rNSaeS185MeqtBIfe1QOOfQHCcryQUlOPYxU2YBwD9eGGSUWeXuRGvfkcmbHqCzV86VxuH4AXeiVQA8v035kqtEc1BYwMO6ltstcMVJJpyz2mtONO1zIZwDxqGvwe+X443iK9G0z4wTzYewNiac00TcwxZS4JOSUmHAY040YyeaL01zDVNYIGrsROvkTrRAoZ2zDUw4Z/HvfUMlmqdwTu/HZBRSaAVdEIkez/iJ4tSoiwtoqNX2V2khnd39tGpyKJwzTNksH1/Zxq4yS8lLyDjRyrBP7umzdy/YXY7DyUfJONF+9rOfQRAEfOc73zFd5u6774YgCMy/qqoq0+UPFQqdFJvjH/q3sE7UZF7WtcJoUBvkRExxaFRF2XAfNxQ6tNnonPNBXulDJy+ui4uMs6kQdsMq0YIL5wyZhCzQ33N7LR0SuuqcbE60/OsbFRYwUhYXkqRJTrRGyhHQxSc1gaIo0QSw/U26BO59o7FF2pYTzdiu/FBm9Rgkt7eiroYO5/Tf+ZDNEvUeGVYvIh7T9peosOIC9LlvGDr3hc5ZWik4VWZVxwRUD9mWUQ6+Uqe+1t78we5yHE4+SiIn2htvvIGlS5dizpw5eZetr69HW1ub+ncl5QJwC3/AlC/6AaSznGjs35JvhQUKXZ1TqZLo3acfLnCRDeNzVVmD2kqEUaLVCAUPA6adHbW+FxbQPodNlGiFVt5x7JFbndOZStHI0VZ8JZr2mXYKNnElWsFQ1EpVMQERyuFUGko0d+GcdO6zeJWg9p1+K9Hqa2040QJWonX2SlCiGIfVi6qjA6g8JVqPgRItwijRCGR3MCcfbpRZw+pF7NyXRWevBIkQiGU0x24ZH0ZjnWDpOGyqE9AyviRcH5wKoOhKtL6+PlxyySX485//jKamprzLC4KA0aNHq/9GjRpVgFaWNnxCVL54Cuf0UNnTCiNHbFDqnEyWqBPHOo9FBYDCO5SN3npzR3bp06vLiVboHGHKhC8SBqqoEDc7yePzQd+rIdPCAtpnHs5ZOih9YTgkTxyjTGEBZ+ochWJXX+U50YqPYlfxKvmFgTIvLoVnlR/VOWuq/VXXMY4cG+MSprBAANU56aICwxtEVFcdGko0RQVIvwyq9OICShXNNz5IoW1bWg21dIMbZZYS0pnJsor9ckAUBXxuYdxymQsXxnlRAY5vFN0d+81vfhPnnnsuzjjjDNx88815l+/r68OkSZMgSRKOOuoo/PSnP8WsWbNMl08mk0gmk+rfPT09AIB0Oo102ocZSylAtFFDKpVBOl103yjHJhndDCeTJbbt0su6VqQMPEOyXfn/4OmmksjWVMNz+wVB257cZk+by0vKYMReiP2WM8o1Lmb/292nXbfqaAZE0mw7nZECb5viWIhFAFHQ2jKQzHreN2OTxGR7knafFOJ4C0Ep2JVXEkNVFONVAtLpNEIObUOxKwFQE6Nn0t5tygsDg9oxhEStLfEogSAAhACdPcVtoxXlbleEaC+qqqPycYRD8gugdMafMYMX9OMYAEim8vdJA0ltnFId074fTHofA3f2ajYbr8rflqqI5mzo7rfXnzqxq30HtWUaagi0sgdAbyJdUeMN5dlcHQNA5LGUKGjHO5BMo7ZC5zhvt2fw6HNJJry9sVbAeafHcGSLvek6bVeTR4XRWCtYhss31gmYPErrBxpqtWX3HkwhHiuvqsmzpwi47FNVuOv/BkH7H2urgc+dUYXZU4Si93nlRrk/A91g91iL6kR74IEH8NZbb+GNN96wtXxrayv++te/Ys6cOeju7savfvUrnHjiiVi/fj3Gjx9vuM6tt96KG2+8Mef7lStXIh639liXC3t6mgHMBAC8v34DEnt2FLdBHNsc6JwHoE79u69/ACtWrLG17kH9un3217ViT+9wAKxj+s233sGej/Z63raensEaAEcDALr278CKFe2etvfxgfEApgAA3lj7FnZs3O+xhda075sEYBLz3etvvImtGw4Eut9KYNWqVUXb947dRwKoB0Dw/HNPIktEACcDAPbu3Y8VK94LdP+9fScAiCKbHsRLL7wG4HgAwLbtu7FixYeetv3RgQkADgMAvL3uTezelGuLyUwEwHwAwK7de7FixXpP+ywlimlXXunpPxFAGNl0P1asWIPugVoARwEA2jdtxYq+TabrEgKkM6cCAEJiBhlJHt5t2bYDK1ZsDLrpprTtnQxgIgBg3ZuvYduGbvW3aOh4JDMxdBwYwIoVq4vSPruUq11lJRFZSe7bEv0H5fMszQcQQVd3X9HP+46dMwCMYL7b03EAK1a8a7ne1s4xAFoAAD1de9RtrP+gDYMd2z21qW3n4QBGAgDeen0NNkQHLZcnBBCFkyCREHZ39GDFiuds78uOXbXvnwhgMgBgc/s6pLNhAK0AgDfefB97P95te3+lzsEeuQ8USQIrVjwPANizZzqA0QCAZ597HnUx62T55cie3uFYt3Pm0F/aS72uPgl/+ecA5o37AKPr7I8rFbs6rGE41vXlbld5zXJY/Xo8+aS23b3U+OGZNW9iTH2wY+ggIAQg5CQAmgNwTM1m7Grfjl3ephiHNOX6DHRDImGvjymaE2379u349re/jVWrVtkuDjB//nzMnz9f/fvEE0/EjBkzsHTpUtx0002G61x77bW4+uqr1b97enowYcIELFq0CPX19d4OokRY1zaIdbvkt3It0w/HWcfnzy3HKQ3euSeBnkHtTWw0Vo3FixfbWvftvyXQk3S3rhVvtqWxbmeS+e6II+bihNkRkzXc8+GWDF7aIg9QZx4+EYtPavG0vdVvpdC2Wi7ZPXfuPBwzw/820/zjhSQ2HWDfWBw572jMm150kW/Jkk6nsWrVKpx55pmIRIK9Pma8dmc/MEhQWy3g3HMXI5slWLWxHwDQ2DTcl/vIimd+3wdkgYaGOM5e9Amsvl3e97Dho7F48WGetv3EKyls3CffA8cddzRmHZZriwNJgmc3yftsbh6JxYsn5SxTbpSCXXkhKxE8sUG+JiOH12Lx4sXYc0DCy3+TB3Ojx07E4rOnm66fTBE82SavX18bwcEeeZI0Zsx4LF48LeDWm5N4NomPh5Q0p5x8AiaP0SY265clsK1DQioTw1lnnWMaflxMyt2uunolrNwo29D4sXLf9tL2fqT7CWJVNYH3dfnY8fcB7OllFd11DcPytuuZtSl80CH3c1Mnj0HHe/IYeMqU6Vh80hGe2tT+YAIYCjH+1LmnM2HIZry+u1++50K1ts6pE7ta9tQgNu2Xj+/M04/BgR6C9/4hj5umtszCouPm5d1fOZBMaX3gmJHaeex5ehA735WP/6STTsH4keWljsqHJBFcf2cCgJFiTLa9zT2z8ZUL8ociGtnV2+0Z3LNikAl1bqwTcd5pMRzZcjyz/toNaWxcIY//D2s5Ep84Our6uIpF34D2LFSobpiGxYu99QuHKuX+DHSDErWYj6LN9N58803s3bsXRx11lPpdNpvF888/jz/84Q9IJpMIhaw7ykgkgnnz5mHTJvO3s7FYDLFYLOf7SCRSMcYQjWYAKNJ2sWKO61BAysmJBtvXT58qISvZXzfPlnO+IUIoELsaSFGl5GvDnvcRjUoA5IF1UG2mIciV/BJ+D9qiWH0wIYQpZhGJRBAOazeTJAmBtosQoobfxKICauLavtJZ7/sm0MKcYlHje4oOB5JIsMdbaMr12Z4c0PrCeLVslzVx7btMHtug+9KaKhEHe+QZU7GvbzqbUj/XVEcQiWjjuqb6ELZ1SCAAEqmwmo+nFClXu0pTyVNrq+VnolyAh/g4ZnCPRHJVXulM/nZlJa2fq4uHoIyBs8T787d3QP6/KgrUxu05Eepq5Huuf4AgFArbzrtkx646+7RzNHJ4FCnqmibTldN/d1FpFhprtfFbNJKGOscRwohEKuslZdu2dN4KxV29BFs6BLROtHetabs6dmYEq99K46Od8vn9jwtrcPikiKGNjmgSAMhOtK6+8rSt3oO5KWm2dUhleSylRLk+A91g9ziL1hMtXLgQ773HhsxceumlOPzww/Ff//VfeR1ogOx0e++994r+Jq3YMEk3eX7esiKnsICDJKI5lT19uvZG2wkq+TiduNSX6px0gvgCJE02SorMi3uUNsm0VhCibihxsSAICInytQv6+qUz2vvmWERAOAQ1N5Q/1Tm1bfDqnOXDAF2Zc6j6XpQax+WzDfr3OJV4vNjXl04SH9X5I/TFBUrZiVauJJK5dqH4IIwK4xQa+jkdDsnPVHvVObXPcaqwgB/FEpRcrUpiezvUx0UAWRDIShilsqQfHOyW21MVlfuGOF2ds4IKC3QbFBUAdHOcCiyE46aKplP6h+wkFgVmHmbuGKb74IM95Tk4MCpU09VH0NUrMc8cN0gSQfuODHr6COpr5UqfvFDBoUvRnGh1dXWYPXs2811NTQ2GDx+ufv+lL30J48aNw6233goA+MlPfoITTjgB06ZNQ1dXF375y19i69atuPzyywve/lIiRN3AvNJaeaEfEDgZAOau68+1N3I+BeWQ6k1oD7s6HwadrHMg+HvB6H4rhPOO4x7G5qiqaqGQ7HAIepCur1YoCAJiEWAwBaRS3vdN9yEhk8Ed/XUlTkrKEbrKXrxKHujHmOqc1uvTv9PV+4o9JkhS7dKHxTVRE5pOXqEzEBJUuojqIedLeChsthTufdrJG68S0NNPHFeiraHsPZ3xdkypNMHgkHjSiRONqdCZIKiv8dQMFYkQ9d4YVi9CEAS2Omey+NfQL5iqqLW0E42+vgVtUkFwU0XTKf0Dsp3UVlvbdEOtAFGQI106y9SJRjv/6msEteLrlj0ZHFnnPjx1XVsKDz6TQFcvVfihTq4IOq+1/MJeOd4p6dd+27Ztw+7dWsLMzs5OXHHFFZgxYwYWL16Mnp4evPzyy5g5c6bFViqfUIHVNxz/yFWiFWZd6+0aOIYCepYqYXWAP0o01qHseXN5MSjOWRDnHcc9ZurH8JDtBK3coZ1oiiIkOuRc8EeJpn02E3QLgqC+3S+2UokjQ0+GlUmyolIEbCjRKAcsrVQp9vVN6ZzGNI3UpLCrjxtiELDO2SG7Gup3Mhk5vLyY0E7eqqjcPjuOEnMnmrf2MI4cBy/2WCeaf7bc00fUFyPDG+ROu1KVaGbnvtKVaC3jw2iss7a1pjpZ9eQGiRD0qU406/2EREFVa5WvEk2zkbktmpx7y273k4J1bSksXd7PbFvZ19Ll/VjXljJZk1PJlFRg+erVqy3/vu2223DbbbcVrkFlAg/NKV/0jh5CZLmwHXmwfl1JkgfEguD+bRVgrIYLauDCOtH8VaIVIrSZK9HKDyslGhD89UtRYy3FqSD/T/KqjexA22TIwi8dEuV7vdhKJY5MwiCcUxAERCNA0oZKMWUSzulHeJsXFOefAM1prKAP5+T4z4BROOeQsodAHjOahX0XAuU5LQpyjkgAtpRotLMs7qMSrYd6ydJQ60SJpi1Lv6jxCu3IUELtqmIC5CdGpSnRqHNPh3OGS6c/CwJRlNVMS5f3my5z4cL8RQXMGBgkUHzl+ZxogGxnB3sk9A3IqtCojcIapQStap43PYoX3pYHXVt2ufOwSxLBg89YV2t86JkE5rYY55njVC4lrUTj2IPOA1WJb2kqGS+qr6AUY4Y50QJToskbFgDU2Hi454OeDBTCOWDocORzwZKGcdxSA3XF4RS0kjDJ5IhScl/5qERjcgyZ31NKJUT+4qU0MFIMAZqj1UlOtGpGiVbcMYHiEIlGkPOCp4k70QLHKEyYUfYUOTxO6a9CISA65GTNSvmf3ynKWUaPHbwq0brdKtGoZf1Uoh3oppxoDfL1EwUBVUP3+EBFOdHyK9Eq9SXlvNYoTpqTGxLYVCfgyiU1nsIFFRUaANTaiPhoKvO8aLQTbcrYsGpL2/ZkIblQ3rbvyOQo0HL3KedK4xxacCdaBSCG6AFzERvCcYzR9bL7ps24AIC39sjbMFJXBatEq6kWTPM3OYEJ5yyEEq2ARRg4/tBnqkRT8gQFu382vI39P5OV33p6gXbi5lOiKfvkFB8jxRCgOVid5ESrigpq3rtiTzqVnGhGaoZGSumTrzodxx20E01xrkYYZU9phHOGRNZG8hUXYMM5NTvyqkTrNUlunw9aidaX8O+c0k6M4ZRzQ7mWiYoK5zQ+9xE6J1oFj6/olx8AcMKsCG75eoPnfFu0Pdp5WT283J1oQ22ujsnO5sljZO98Ikmwr9P58RSi8AOnPOFOtAqArUjIb+Jywri6Y/5rSAgxUUH5q2TR2uR5s4Yob2z9COUEdKHNhajOaTBgL/aklWNNj0kevkLlCNMXFgDYyWPSY0gnE85poURTj5c/M0oCo3BOwJ0SLRoRtPDkEsmJZuREi0W1SoO8sEAwGDlnaWVPsRO1K/YZCgmMcy+fM4x2GtOOAa8vBVglmtvCAj4q0WgnWoPWHuVaDiRJ0fPa+YVy7gWBPZ9sTrRCt6pw7O9m7SYUEnwJD+wb0LZrN5xTodycaIQqxNE0lGdu8hjNgLbsdt7hFaLwA6c84U60CoDnRCtPJEnLU0Bjxwlj5ivzRYlmsPEgBi7JlJYDqs7BYNUKpshGAcKYjEI3+T1Y2pjl4VPDOQN2KtGTP8WxoOQCkn/3tv+sbSUaD+csJYwKCwByGCSQX6XIOGejAqU0LHZ1Tnn/sYjx70pC7a5eqWKcAaVEv4FzNlxKSrSh/icc0mwdyN8PKk42QZBz7Sm+hpTnnGhah9jgqLCA1tn2+KlE69YGX8MMlGiZbPEdoX7RM1RcpLaadR4xuW49Xt9S5kAX+zD2q9jKoRTO2T+gCQyUdAGKEg1wV1wg6MIPnPKFO9EqAHqiVMlvaSoNs8mrnUmtmbPMDyeaW3WcU8wSvHuBzgFViHvBaAJS7EkJx5peE6VBoXKE5VeieXSiUfZnlTC8UIUUOPZIDGqGZ5QTDbAO6UwxSrTSyHknEe1FiVlyaiWkM5OVJ0AcfzEuLKD9blRhupBk1HBOAdGwPVuXf2dz7UXUiqP+FRZwokSrDUiJpjgxwiE27xrdR1RCXjRCiHru9ee90OO6YqFXonX7FB7IONEqXIl2kFI0K4VrJo32pkQTRQEXLqy2XMZL4QdO+cKdaBUAmweq/B+mhwpmk1c7ThhzB5wP4ZwB5VrT02sSVucFVonmyyYtKWToK8cfFLsLh4AqKtWIpkRDoIoYvbMDYFU6/irRLAoLKEol/swoCQZMwjntOljpMOBYRKDCdf1ro1PSujYZwVTo9El5wdFQwoTDIa06ariElD1aOCdr63nDOYfmworjTQkF9arK6ulz93IvHBJUx1avT0o0QogazjmsXoRIFeag82dVQl60xCBRbUGvAKSr+lbqS8r+QSnHGepXsRU6D6ydnGi0E62zzJxo9DlTjqOmWsSIJvnz9o6sq2iDWMR4jiIK8Fz4gVO+cCdaBXAoVK6pRMwmr3auodlAwo+3dIaFBQJ4jgahRKNzQBWrOifPMVXa0Hn46GqByttuAvNwaT/QOzsAnaMk5W37tE2GLJRoyvHyZ0ZpYJQAHrDvYE2lWIWjFq5bvP5In6fNCNqJ1pmnAhrHOYpdVce0/o4N5yxKs1TowgK0syRfWKY+156yrtfCAt1DaqjaasEyp6QRyjiGVjt7ITFI1OcB7dgAWEd7JSjRumkFYK2FEq1CQlf16EM5AVlB5tWeAVbhW1udf9pfHRPUZ1DZKdF6cpVoADB5SI2WyQI79znv9Fa+Pqh+/tTJVRjZJJ8fiQAtE3kY56EKd6JVAGKB1TccfzANybQx6TFf10ODLLYRxNs/ugpWMDnRfNmkJUbnhd+DpYtEiFqpSq9+ZGwnwIkl7exQc6L5Gc5J9R9WTjRVeScFq7zj2EPJiVYVBRMWYl+Jpg/nlD8X00liVIlWTxOtROPFBXxHCROmw//YcM7SUKKFQwJbnTNPOKfiXFDVdYoSzYO9yyGFcoPqHeRDU1CeKYMp7848wLyoAMDmTawEJ1oPk2aBPfeMcrJCldP6UE6Fbh8csk7DOQHNadvZK0Eqo/FBF/Uihn62MHnR9jjrJLbtyaBtq+y9Hdkk4pz5VZg1JUr9zt9EHqpwJ1oFwCTd5CqYssE0JNOOEs1Uxeb9+hvnRPO82RyCyYmmfS7EvWB0rYr9Zp9jTmKQqCqzWp3NFapAiz4BPOBzOOeQ/YkCmPAfPbTKQuK+i6KjKIbiVeywzE1ONFmJJn8upjI2aVBEQ08jd6IFhiQRDA4pmWjlUikpe5TnZUiEzolmbrfEINee4hj04rwaSGpJyZ3kQ1NgK3R6v+8OdueGpinEKyyc0yoXXSnZa1Ds7zIeD3f7oM51Wp0T0Owtk2VfeJc6dJVnUyfaLmdGtOqNpPr5jGOrIIoCJo7SBozbO/ig/1CFO9EqAFEQIEDu5LgKpnwwm9zYccIEq0QzUFcF8IzoCSQnGh3O6csmLTFWopXPgONQg1E/5ijRChMKTIcpKTnRfC0sQOUYsoJXdS4dCCGqmoRWDAFANGpXiUatw4Rz+thQh6QMHMZ6Gmu17zu5E81XjIoKAGzYZDGVaHSF8lAIiNoM58xKWsi9UU40t8pa2pHTUOvViebdlg8pJRqVi65B70Q7BHKiHaAcplPGaQfsR55IJZyzOmY/RLlciwuYOdEmjAqpFXydFBc40J3Fmx/KbyJqqwWcMFtWoE0crV2jrXsq1LPLyQt3olUIgiB3HDy/Tflg5izzEs7pxwCjUHm+2MICfuVE0z4XJpxT/p/nJSwPrNSPrIoxuDakDHKi2VUb2SFD5RiyIsxUda7MiUm5kM5oNqd3otEqRSsnml6JVgqFBezkRGvihQUCI0E5V2inS6koe/RFUOxW5zQqzqI40Qhxr6zttggptAP9YsYP9Y6VEo0pLFABTjSrcx+mXnBVqtJ/f7d2YNPG++tEU1JY2FWhAWXsRBtqa3VMQJWuQM+4EfJDcfcBCYMpe/fMs2uTqsP+tKNi6nNs9HBRfRmxjSvRDlm4E61CEIUhJRqfDJUNZs4yO84fL+vmw2gAGkg4Z7+5Q8MtjBOtIIUF5H3QKguu6ildGMdtjV6Jpn0OUk1o5FiwG8ZkB02JZn1PMUU4uM0WFbOiAoDeNsy3kZMTbcieJYKi5bSxkxOtplpz+PFwTn+h7YoOEy4VZQ/t4A3rqnNaKdHoCpwRVYlm/LsTevrMQwrtUFfjrxKNdl4MazAP5xwYLP/7xjKck1FOFqpFhUUpLBAJy6ophW6PTrSsRNR+oNKdaIQQVYnWVJd7rJPHhIaWA7Z35O8kEoMSXnxXDuWMhIEFR8XU30KigAkj5e3t75LQXwH3IMc53IlWIShKtAy/j8sGczVZ/nVNVWw+DDCMBtVBDLSVZKchMXfi6BY6JK8Q94LifKCVRFzVU7pYKdFop1KgSrRUrmMhRlVH9xzOSeUYsiLEKNE87ZLjEVpJEo/plWh05VYrJZr8fyQsFyZgKxX71FCHpGzkRBMEQc2L1sWrc/rKwKCxXUUo23DrcPIDOrdrSAQilKM1bVN1qVXntOeAs8Iqub0dGCWaDznRlHBOQQCaas3DOStBiUa/VK2vZc89q5ws/2PVIxGiFhYY3iCikbrWXvvExCCBsoVaB2lTmsrQidY3oOU0pBXOCpPovGi7zR+KkkTQti2N+1cm1Oq482dHc1KATKBCOrfz4gKHJLwua4XAlWjlh2lhATvhnB7WdbPtIAsL1MUFCBYJ0J1QyLBKQogaClNFOUG4qqd0sc6Jpn0uWGEBQyWat+0rfUA4rxItdx1OcWAVQ+ZONCuVomJXii3p7dlECBYoRrZuRGOtiP1dEhJJgmSKmOZP4zgjYZITrRSVaKGQLpzTwrlH/6bkUfMjHJ/O06rPy2UHv3OiKeGcjbW5uaxYJVr599/d/cpzK/dFQqFSLRSLnj7N+dOsc6J5VaL1UTZdE5ASTZII2ndk0NNHUF8roGV8mKkwXSjofGiNBk40RYkGmOdFW9eWwoPPJHKcl2Oac5PMTqIUg9s6sjh8cjGespxiwp1oFYLICwuUHfTgVRS0RLl2nD9Zk3X9GGDQ7RJAQCD47pCSCFHf1OrD6rzATBwDnhxIBOobPtoJwnOilS70xKbeIidaoIUFhpxkIVFTv8V8LCyQsa1E4zZbKpglgAe0nE+AvZxoii3l2nPhJzVGuauMaKjVPq/bmMJxM6NFmYRVGmZhwuECqW7zweZEsx/Wnk+J5rZCJ53c3l11Tv+UaMkUUdX6wxtyJ/CVpkRTVIBGL1Xpa1uJQoH9VO674Y0hVMUEVEWBwZT3nGhuKnMCsuNWmVtYOdGMnE6NdQI+tzCOea1R0/WCgE4HoM8hCMiOsGhEHoMZKdHWtaWwdHm/4bYffHoAjbUic0wTR1NONF5c4JCEh3NWCIKqRCtyQzi2oQeQ9ATDXk40k3V9uP7KtgUAolKwwmelysAgUXOv+ZUPDZBDg8ShXi1ohzJ9rmORyh7kVQqWOdEKlCMsqXN2AD7nRFMKC+SpzsmLYZQOCSqfirUSzXwbmhJN/rsUct4lDYpo6FnXlsL7H2sTkLv/lcB1d3RjXVsq6OZVPGYKRzZ/WDGVaFQ4Z0jQVec0X4+pcBxm/wc8ONEsQgrt4GdONCYfmoFDoJpSa5a7Ei0rEVUxVW9QFZV+VlViTrQDVFGB5qHcd0p1WO9ONM02nIRziqIWZm/mRFOcTnrVVlcvwdLl/QXvw+l2GinRQqKAiaPkjuJAt8Tco5JE8OAzCcvtP/RMAhI1FxrTHFL70q28uMAhCXeiVQhBOTs4wUG/AabDV+yEV9DLsEntfQjnVJQsIc2u/H5bzVbm9LcbUhQ4QYep0NsPh6j9cjVoyULbnf6tbKFyhOmdHYD9Cox2UAsL5FHyMMfLnxtFxW5hATPbIISoDjajcM5iqY3o/H9GOdGUSVhSN9cq1iSs0jAN5ywRJRq977AjJZr2WVknzCjR3LVHSW4fEnOd2XaIV8nqHcC7Es2qqAAgOzmUNBLlrkTrS2h5u4zCaENMOGd5H6sR+7u0a6040RQnUDLFKpWd0mcx5smH4rztHyA5+TjdOJ2ChnbmGeVEA/QhnVoH1L4jkzf/XGevHLaqEBK1ip/7OiVP14lTnnAnWoWgKNEqMV9ApUI7vJyGA7JKNH/DslQli0gpHH12DFklePeKMkEIWn2R0eVzUd6WciVa6aLYXVU0d1LPKneCD+eknd++5kQbsstwHiVaKSSe58hY5kSL5ncsZLJyxTFAU3wVyp6tsMqJVoqTsErDrLBAuEScErRdhkL2FXL0fWBcndPdMXUPKdHqawSILvK0ioKA2qHxDJ0o3w0HKCfacAMlGqBVXC33yXt3noIOIhVhUIlznANMOOeQE82nvGj9LsM5AVYB2amrnOzG6RQ0dBvNnGiTqGIAW6m8aHRlXiv0y02ktrfNRsVPTmXBnWgVgqZEK3JDOLYxDQe0U1jAZF0/VFAZVcmiFazwe6BNlzP3MycaoCkwgnYMMG/RQ5ryh9+DpYuah89A/cjm0wuuDfoE8IB/OdEkQtT8iE6qc3KbLS5sTjT2wtnJiZY0yD0WLpA9W0E7O2K69DilOAmrNMzChMMlUp0zp7CAzZcJtJNMsXevFUclyZ88rcqzpTdBQIj7vvxgt3U4J6CpVhNlHs5JOybMctFFhhy/lVidk86JNqJRPtBGKpy4q9f9A5oO53RSWACwLi7g1ukUJHacaJPHGhcXqK+xtw99mDdTXIBX6Dzk4E60CkFRDBEC/ua2TPCS14xVsdHr+hnOKUAYcs5KZaREU6T/Qasv9Plc1P3y52hJkskSdbJhZHNMjrCAnEqZrJYLkHacRah7OJVyb7f6SakVYUaJxp8ZxSRhohgC7OVESxnkHgsVwJ7zkTQIu1MoxUlYpUGH+VWb5EQrrhJN+xwSoavOaaFEY6pzDinRKPtKuzimvgGiqjndVOZUUJ4tmaycGN4tjBLNIJwT0ByjmWxxc9t5pSePEg3QnleVqERTwjnjVYLqGG2glGhe8qIxOdGqndm1lRPNbs5AN7kF3dI51MbqmICqmPF+mxtExKvkz+3bM2jbmkImK2HdxvwhAE11cuVRGl5c4NCGV+esEBTFECAPTETuHi15mLxmDtVkGTMlmi+FBbRwTimgMOFgc6IJAEjggy16+5FQ4XKxcdzRZ1FUAGBziAV1DY0UQ4AcrqJUjfKiRGOcaA6UaJU4MSknzJwdgL2caEmD3GOhUPD2nA+rcM5SnIRVGraqcxZx3qfPK8q8THBanZMOUXVxTHYcOXagX9D0JiRUx/LE1ZtwkEo2n0+JBsjXuqFM7xX63Js5MMNDs9VKG19ls0RVUDVTzlI6MX6XhxcJ/UxhAWf20WThRGsZH0Z9jcBEleSsb+B0CgpCtPPYVGd+nG9vTKsvnZJp4LYH+tWxVz4uXBjPqRo9tjmEcEgeQ23jxQUOObirpUIQoHVkfEJUHtAT3qjD6o5mOdH8UCHSOZWCKlhBO9Hqfc+JJv8ffE40Np9LoXKxcdyRT/0YKkC1yhSlTNA7FZS/veREo+/T/DnRjNfjFB6z3FUA62w1UymmDJxVhQpPtsLI2aHQMj6MRovJDlDYSVglothVVZR9SRAuSSWanIdM6besQjJTBi8jIjZVbGZ02wgptAP9UrDXwsGQD8VpURcXDItyAGyIbjnnRevuz3/uK1WJdrBXUhWQtOLQr5xofUPjHgHOi2UMt3CiiaKAaXn6ZiOnU1D0DWgvzs1COZVCNnobosdcpx0VzXkuNdUJuHJJDea16nISQH5ZpRQX6DjIiwscavDRSYWgODsAZUJUnm+kDiXoiWvMaWEBMxWbDwMMZVAtippz1nclGvXmMbicaME+zNicaFQ4J3eilST51I9sjrBCKNGMFEfEkxJNX+zCCl5YoHRQFEMhkXWaAbJKMRKWnQqOcqKVgJOUVaKxv4migM8tjGPp8n7T9Qs5CatEFIWjPs8ekz+sVKpzDtlrNCIgkyXWSjSDcE7GMVhMJRq1Lv3ixgmZLFHzBZqp0IBcJVq5wpx7EzWdYh+V5kQ7QFfmbDRRovmQEy1eJeSt2K3HSomWlQg+3ml+ozU3ipg7PWL6u9/Q+dAaDZxodgrZ1FQLuHBhHBculHN29vQR1NfKL3KsnkMTR4ewdSgf2o69GbRMKNxxc4oLV6JVCEw4Z4U9ZCoVtjgA9b2N56WXdfNue2gb4ZCg2pUkwVOSXD29Hspu56NQijB9PpdCOe847qAnNEZhDeECOJVSFk4F5W+ryWM+9DZpBZN4njt+i4rm7BAgGFQFzKdSTBrlRBOL7yRV2hsOwXASMq81iiuX1Dh688+xj+JYqdapG1mHU4lU5xzqj6JDbbPqB9NG1TmZwgLOj6nHhhrKDowSLeHu3Hb2SmpsiZUTjVatlrMChjn3Juk9NCVaYY5TkgjatqXxxgcptG1LB5Zrmi4qQCvRaEeuHznRnIZyAnK/odiY3on2weaMGmZ6xNQwvntxLS79ZFwNSd3fJeHNDz2WGndAJ9U+o3vGTiGb/gG5kI0oCmidGMGxM6NonRjJ+yJn4iiq4icvLnBIwZVoFYLAKNGK2BCObejcZ1FGTZb/Ye1l3XyohQVErWAFINtVvhAxuygOjaporiLHKyL1xpIQYjgp9QMmn0tYUJU9/P4rTXrzDNSZHGEBXUMrJVqEcpS4tVt9sQsr6HDOSsszU24ozg6zcJtoRAAGzFWKRmGTYeb6+tRQhyjt1Ycu08xrjWJuSwQ339WDXfvlG++Gy+sRi/J3vF5IZ7TwJr1dMTnRijjnMyqEoihyU1bhnEbVOamXEm7Udd10Xq5aL04070q0gyaOFT10/sRyVaJJEsH+LvmCRcJs0QsaVYmWCXZcB8hhfw8+k2CcLo11snLWb8c+7URrbtA67XBIQF1cQG+CuFaiZbNEda46rcyp0FQvIrEvi84eCRIhEIfO+4vvJNVlTjkyhtaJ8g1YFxfxu4f6AADLnx/AkdMjTKh1UORTogVZyGbSaF6h81CFj1IqBFqJxidE5YFZSKY9JZr7da2QCIHywi0U0oUJ+/hsUJK81/pcVABgFTZBRjHRISNhkS4s4K9qj+MPznKiBXP9jKoo6v8msM4HZAV9/4fz3FqMUok7fouGRAgGk8aKIYV8KkUmbDJqkBOtSOGcSnv1Iap6RFFAc6N2A3qpasiRYSq+6pxotKOimFUdjZSzyoTbql0pg6qvjBLNhZq317fCAt6VaAfyqGoUGCWah6rOxWJdWwrX3dGNziFnVToDXHdHN9a15XYAihONwP9q8fo2LV3en6Na6uolWLq837BtXjjQpQ2s6XBOQMuL1t1PILkYU3qpzKmg2F9W0l5EdvdJeG+TfBM21AqYNUXr4GceFsGMyXIHc6Bbwpq3kigE9PUyyokWZCGbMc0htf/a1lGcSi2FUk5yWLgSrUIQeDhn2cEUFoh6KCzArOtfm/RKtIxEEPMh1142S9A/NMA3cmZ4RZ/rKV9Ym1syuiTu9Nt9iQB5hECcAtProDpnUH0oo0SLGjvRlOXcKDT1xS6sKEQhBU5+BpJEDd0yVaJFrVWKRmHCoRJQGylVQ62UaAo11LH3DxA01AbWrEMCs8qcgNzXCQJASHGVaGx1TkWJJv+dzoBRvtAwykslnJN2DLp4CeJbOCedE63fuxJtmE0l2kCZKdEUZ5UexVl15RIwqq8wpWZKZ/M/39xgJ2/WQ88kMLclf4ifXczCOQFZUbV9bxaSJL94durcZZ1o7to7TJcXraFWxCvvp9QX1POPiOXkWvu306rx07t7QQD86+UBjBgmIpWCrfxibqGVaEZONKWQjVVIp9tCNpGwXFxgW0cWHQckDKYIqqKFmwAUUjnJYeFKtAqByYnGPdBlAe0Ic54TzTi3ktdrz7wZDgmBKNHoB7tRgnevFCrXkz4UpRSq4XHMYQsLGOVE0z4HZTdWOdFotY7b4gL6+9cKJgccf2YUDavKnAr5VIpJA2UO3R8FqdwwgxCiKob0DmMj6HCj/kEujfSKlRINKI1E7fqXdgAb5p42SalEq9QiBtU53Sh5lXDOWASeJsB+KNHo/FPDbSrREmWUE82us0oyqTYdlFLcTt6szl45b5ZfHBhyojXUCjlhjw2UKspNXrS+Aes8sHagnbgHuiUQQvASFcp50pxcJ82EUWEcP1v+fiAJ3P5oP/7yz37c9r99pkpDr+RzoimFbKzwUshm4lBIJwGwY2/hOtVCKyc5LNyJViEICCbsjhMc9MQ16rDCJqNEc1jZ026bcnKi+WRX+cLqvMIq0YIbWLJv0XXKHj4HLDl6qVLvRvlBWOVOMHZj5OxQoNU6KZfjHqNJqRlMDjj+zCgajGLIRImmVynqSaVIzrLhAtizFZmsFk5vS4nGONHKxyFQqtBOFSPnrJ2wyaBhxhtKdU7KkZAyaZtRdc6Ix2IJihLNiwoNkJ1wSlvc5ESTJILte7UD1BfdoGGVaOUz6HDjrCpEHr8g82YZkUoT1e6Mct81Urn53ORF62MKeLkM56xjlWgbt2ewb6ii6OGTwhjRaCwJnDLOWNEVlHNHKSxQHRNQZfIyKshCNhNH08UFChPS6cYZbbYdt6Ggh3oYKQ/nrBDYnGhFbAjHNvR1YvOa2SgsYLKu14To9CQ8HApG4UiHTRiF1XklVKCE2hnmXLHlw+VJK4/nLCUUVUBNtXGp91ABFIxJytkR1b11juZxlNgha/Lm3gju9C0NGGdHlXF/qFcp1ul+ZwtWyP8Xwp6tSBm0yYoa6tj7Bw6tgXgQJCinSnko0QzCMk3moimmOqfyPxvu54R0hqjObC/50ABAEATUxUUc7JEcK9GMwrJuubvXNCyrXJVobpxVEep55SZc1w5B5s0ywqyogAJd4KLbheOu3+dwzs5eCdspldVJc2KG60gSwYqXByy362dYLCFEVaI1WTidAa2QTfuODHr6iG8hppNGaddve0dhOlW7zui2bWmIomB4vF5CQXkYKXeiVQwCD+csO1g1GfW9LSWa8QTFq/JKr2QR4b9zNnAlWoESarPhnPpwg8B2y3GJYndmNleYwgK5CeDVvyPGyzkhYzApNYPNAcefGcUiYSOck1HnGIS4sWHCQ+GcRa6+mrQoomFEXJcTjeONAcY5a+REk6tgFrMQFVMIRVGi0YrcPNVoI2Go+QEj4fzrmUE7u7wq0QA5L9rBHjl1hSQRWxN0pznCgPLNiebGWcUoxQMS+gSZN8uIA4wTzUCJVudRiUaFc7qtzkk70bZ3ZLFlt3zya6oEHDnd+O2IE6WhUtXTC30DWiVio1BOPaIo+LJfmrEjQhBFOXXCtgIp0ew6o+/8e4JRdyuOLgCO+xwFN/1VJcLDOSsEOncVV6KVB96qc2qf/azOmWHCOQUIdE40n9QMzIA1iJxoBUqoTU8+IrqcaBnuyC4pkiktP5OZ+jFcgGqVRooh7W8flGg6JakV3OlbGgzkyV0FsDnFjBwExjnRgrdnK1glWv4JHK2USJSRQ6BUyZcTTVFwua0E7AdGhVDsONGUNtPLhj0o0LupfFP1td7HJMq4hhB7ocluw7KqqX6hnJRoirPKCr2zKlyAlwJB583Ss5+qzDm80Sic02tONO/hnA21ApTD3bQjo95bx8+O5uRwUyh0WCyTD80ih2CQRMICxjXLRrr7gMREHQRFrbWpquj7IMXRde8TuU4wGrNQUL/CSCsB7kSrEFglWhEbEjCVFH9tltfMzgDBPCeaj0o0fTinTwOXHqpiVVdf1vdrWKgwpozuXOmrgnqlWLZeSfeYQncfdUEIMTymQoQBpyzUOUxONJOE2vlgneDWyxba6VuJduUH9ORXX0VRIZan6ISREi0IJ6mTa5h06ESLF6GwQCXbpFV1TkB72eSXQ8LNuWQKoQzN1KOUyCdlFs45lPOMXpYtLODsmOgxSb0P6vjaau3ze5vynwu3Ce1FUUDVkNijnJRobpxVdHXOIF+OHj7ZWKHkR94sPfmUaHQ4pxsnGhPO6dKuRVFgChwomIVyAoUPi+2kCnHYUaIFhVpcgPhfXEDfv/YPSFj12qCnbSaS1r+bFdEoRgGOUqVkwjl/9rOf4dprr8W3v/1t/OY3vzFd7uGHH8aPfvQjbNmyBS0tLfj5z3+OxYsXF66hJUoQzo5So9LirzMelGhm63odXLCDWviuRFvXlsLqt7Se+9HnBvHM2qSv17AQYXmAQWEBH6tzFsvWK+0eA+Rjun+l9tZs4/YsrrujO+eY2OqcwdiNlWOBVhv5oURzVJ0zYCVaJdqVX+RTDAH5HayMXQ2dzpDP9uz0GlpVojWipsDhnJVukwN5cu2Fh0b/mYycU0gJi3SD23Opf2kH6EOXzcI5h5al7ouojVxqZtB5Wr2Gc65rS+GtjdpNes8TCfzjxQHLc+FFuVMdEzCYImWlRAOUJO/An/7eD0I1valOwIUG5ypSoFy37dtzO9jDxoZwzSV1vinQFOicaEZKtNq4HOGQldzlROujUqe4zYm2ri2FHl1uv5AI7D2YxbgRxnL3QofF0kq0xqI60cJ46V25YMIL7wwiI8V8ybdm1L8qoaNBI/c5gsF3dtetbEpCifbGG29g6dKlmDNnjuVyL7/8Mi6++GJcdtllWLduHZYsWYIlS5bg/fffL1BLSxcR/ofdlRKVWMaXHkBGo8bfm65LK9Gixt+7axMbXsEWrPDWISrXUD8J9PsaFiqMSZ8U2S8nTLFsvRLvMeWY9AmejY5JFIN3Klk5FvzIiaZ3glvBKtFc7c4WlWhXfpLIk7sK0IX6GoSJGCkc2UIn3tro5homqa/sKNGYwgIBq2oOBZvMl2svMuREJ/D2nPRyLtlCKENKNLofNKvOmVaUaNpxiSKg+AG9KNGMVDd2Uc5FUnfI+c6FF+WO4iAdKDMnGgC0TgqrDrTRw0R89+Ja3PL1BkNnY6GqDW/YkuuBHUzay2vnlANDVS5FwVhBJQqCqkbr9hDOKQjmlZ+tUOxZPx7KSrC050KHxXZSfU8xlWgDSe0avfp+Grf9bx+uu6Pb0/PErH9VHGjRCPCpk6tywqNrqlzvksGozym00rCUKboTra+vD5dccgn+/Oc/o6mpyXLZ3/72tzj77LNxzTXXYMaMGbjppptw1FFH4Q9/+EOBWlu6CD46O0qNSo2/ZhxhYXoCbyMMgnbAOVzXCqbipCjoqnO6324hr6GX3ChOoB0P4bAu8a3L/RbL1ivxHnN6TOECVKtMGoTdKbA50dxtP5vNnZSaQSuVpICeGZVoV37jXIlmlBNN/k4UtevuV/VVt9fQytaNiEU1x24iQCXaoWKTTJiwRXVOwH2idq/nki2EIv8foWwlbdAPZiWi2nOEcrgJgkDleXN27bp9UKJ5ORducoQpKKG66Yzz4y42ezu1jmnq+DBaJ5pXa/TDXu3Qtk3euCBoOcn2d0sgxP9zqyjRhtWLpoWAlDb0Jojj66s40WqrBYgOlaZe721ZaVhjaNeiICfi9wu66EKxnGjr2lJYviY3vNLLixk716AqKuCc+VX46dcb8N2La3HZp2rw3YtrccVnahzvT49Zn+Olv6o0in6E3/zmN3HuuefijDPOwM0332y57CuvvIKrr76a+e6ss87C8uXLTddJJpNIJrXwsZ6eHgBAOp1G2ugJXYak02nG2ZFKZyvm2ACgfbu9+OsNWwbRMqHoJm2bNOWFIVJGlW2nsyTv9aPXBclAEOQ4/IyNda1IpmjvjwSBqs6ZTGYMB7V2KOw11M5NKpVG2qWqJx8p+lyRLARmvxlX+y2WrRdyv4p9Bt1HOT0mQmnj0xkpkPYlU9o+BGSQTlPVxwTNngYGM672n0qzNmm1Dfp4UwEdbyXald/0D2jXLBLKIp3O9XiFRG2ZxGAG6TQ7UVDsKhbRjp9I2jrplPsxgdtrODCozXRDoj37ilcJ6E0Q9A0EY4+A8+MpX7saUrmIgIg009cAQEjUzsFAMp23mq8RXu/vNOVFI0R+ZoaoFBJyP8i2a5BSYkZC7HUJh2RVZjrjbBzU1avZajyWLcizW29X550Ww1/+aZ7j6N9OiyGbzeSogqqi2j57+lK+VBctFLv2adeoucH6HqNTiwym3I9FrehNSNi5Tz7BE0aKqIsL6OrLIp0BDnSlmBxlXkkMElU9OKxeMD32esoXcrA7xVTLNIK2KyWcs6bKef/lx7N79hQBMyfH8dHOLLr7CdZ/nMHaDVlIBHjw6X78+2erDddzyoFu7f6trTZ+hgaJJBE8+LS1s+vBZxKYORmO1Hd2rkFPv3YNpowBlNBLSZIdsF0WIZXxKiBhkVZN6XOMnoGLjovgoWfMHYNm/VW5YPd+KarH4YEHHsBbb72FN954w9bye/bswahRo5jvRo0ahT179piuc+utt+LGG2/M+X7lypWIx22WtigDBEE7L2+/8x4ObjU/J+XGrp4RAGbkXW7NS+vQXr8v+Ab5xN69RwCQ1ZdPP/0UQOYDCKGruxcrVqy2XnffHACN8rqrnoSAE0EQQmdXT951rdjf3whADqvevm0zM6B97fW12PLhQVfbLeQ13LxvEoBJAICXX30D7e91etqeGR/tmQpgHADgtVdewp7eZgATAQAvvfwqNtR0O95msWy9GPtdtWqVL9sxw+kxDWaiAE4AAOzcuQcrVnzge5v27Z8HoA4AwaqVT4B+OdyZqAdwJACgbeNmiN0fO97+1s4xAFoAAO+//w46t+81XbY/VQXgOADA9u07sWJFm+P95aMS7cpvdu2ZC6ABALD62SeZF2IKe3qHA5gFAHj3/Q3o372D+b2793gAMUjZJFaseB4A0DVQB2AeAGDTx5uxot+5PQHuryFtixs+fBd9uzrybkPKHA2gBj19GaxYscJVe/Ph9njKza4OdB4LoBohIYUnnng+5/f9+2YAGAEAWLnyGVRFnCslvN7fW3a3ABgDAHj5pRdQF0tgZ/dIAIcDAN5+dz06t+9i1klmIgDmAwA6D3Yw/XQ2I98HvX2DWLFije3j2LZTuwdfXPMU42C0ix92NW/ccLy7qxVZok3NqsKDmDHqI+xqP4Bd7bnbO7i/FYA8/n9y5RrUxgYct71YtFNjte0fr8OKfQdMl918cByAqQCAtWvXYedG/8f6u3uaAcwEAITSW9HXJUIZ4/3fky+jKd7j2766B2sBHAUASPTswIoVBhcXQOd+bZz5xEr7bXjyqaeRTJ8CAEgOdDm6H4Bgnt1NkohY+FgkMzF8sDmLux96FSNr3c0paHZ1yH1dWMzg2aef8Lw9pxzob0BX31zLZbp6CZY9+jKGO5gXeL0GhzUMx7q+mUN/0c47uX9rHS73nR92TMNghi0UMa5+N3a1tzN9Dt1Xte2bDGW+Q5OvvyoXEglrp6hC0Zxo27dvx7e//W2sWrUKVVU+Be8acO211zLqtZ6eHkyYMAGLFi1CfX19YPstJOl0Gnc/8o7698yZs3HqkUcVsUX+0r49g3cezl+FZMFJ88pKibbxwQQODL0pWnzOWXhxaz8GkkA8Xpu3WEbbAwkcHFr33MVn4/k/9mMwBdTU1HkqtPHB5gze2C6f66lTD8PWzVovOG/eMThyurvzW8hrKL6awkcvyxOCo48+FrOnBGMT3asGsa1LfgN26qkn4e32DD5+VX57ccyxx2PGZOf7LZatF3K/6XQaq1atwplnnolIxEbGcZc4Paa+AYLnNsklv0eMHIXFiyf73qZ1d/eje5AgFhFw7rnsfbpjbxav3idPgMaNn4zFZx7uePur30rhgw7Z9o+aNxdHH25+fg/2SHj+Y3mgMGr0OCxePNXx/vJRiXblN+vu7gcGCGIR4JPnnmO4zIdbMlj3mHwep0xpxeKT2Pyxq/+nD8gA9bVVav+/vSOLV7bK9jRh4mQsXujcngD31/DpNzRbPPbouZhn49nR9mACH++UkCUhnLnoHKbiol84PZ5ytavV/9MHAGisixmOCfatGETHBvn5dcqCT2CEQWLzfHi9vw88OYgdQyqS0087FSObRLzdnsG7Q4qslukzccaxRzLr7O+W8Owmud8aP24000+/8Zd+JLsJQmHjYzbjjb/I92C8CvjUJ43vwXz4ZVfLnhrAq+tl+cbnz4zi+Fk1EMVm0+0lnk1i19vyuOO4E07F5DH+hckFzd3/GgQOyNf/7DOOxZjh5jb4/NspbHhW7k9mzzkSx8/0/158YNUgsEtuzzmntWDPQQlbV8v7bJl5PI7zcZ9vb8zg5S2yvRw5exLOOr7FcLnI6ylsfVFuw8w5J+TtRxW7OuGkhVi5UV5vwrhhjucFQT27x21I4+4VcnTYtr4jcMm/xT3184QQrPrd0LitKVqUQoNrN6Tx+vY8pS4BzDjiOBxjMSbT48c1eLs9g0efSzKKtMY6EeedFsORLccDkJV0H+3MYuueLP7+gtyXZMJjcc450yAIQk5flc4QvHhnAgCBIABf/WQMmSzQUCNg6jjr/qpcUKIW81E0j8Obb76JvXv34qijNGdPNpvF888/jz/84Q9IJpMIhdiHwejRo9HRwb7N7OjowOjRo033E4vFEIvlluKNRCJlNSDKB/32miBUUcd2+OQwGuuSeSu9HD65KpDkn0EhSVpbq2KRoVw2BJIk5L1+WSKvKwCIxaIIheQOLWtjXUsoO4pGQkyuPQju7aqQ1zASofTDHtqcD4lob+6rYhFEIwRA2tN+i2Xrxdhv0H2w02OqonJ72LkH3ZDKyPd4LJq7/Xi1CEB2eqSzoqv9E2i2H42GLbdRFdNUphIJ5ngr0a78RikzH68yvwbxagGAPJjOSLm2oRQWqIpqv8Vimj0R4s6eAPfXMCNRIXJV1raoUFsdghKOn86Gh+4Jf3F7POVkVxIhGFTsqtr42kdp5ZkQRiTi3Pni9f6WiDbxjEXlNsSpd+pGtk73cbS9A0peSYJMFravFSFErT7YUFP4+0RvV8l0Ehg6xtnTqofuY3Nq4hko445UprzG/vu75f5JADCmOWrpTIlFJQCyzRISzHFu3CE7Z0Mi0DqpCgRpdZ+dvf4+Izv7NDseOcy8bxneqB1374D9NiQz2v1cX+P8fAX17D5+dhgvvZdF+/YM9nURrHk7iynjwujpI6ivFRxXs+xNSGpuxWH17u9fLwxrAID8TrRhDc6eIX5cg2NnRnD04VVo35GxPMczp8j/PtjSi/btGXQcJNi8W0DrJK29Sl/1dntKLdZ1VGsEx86snKg+BbvXqWjB8wsXLsR7772Ht99+W/13zDHH4JJLLsHbb7+d40ADgPnz5+OZZ55hvlu1ahXmz59fqGaXLHS+gEqrzlnoSi+FQrlOclUpQU2sa6cwhJLuRrlNlHU9V+fUVfcTGbtyn1uskNcwTPVqQcbjZ5gk7mxhAbfXoVi2Xon3mNNjoqtVBl1YwKhaIZM83mWCaLbanfWyTOL5gAoLVKJd+Y2SFydeZT4coysWJnX5mrJZLdE6vZxf9uz2GjKVaHOL7RlSQyXA7w+ouMChYJPJFNRspjUGlTkBfQEed+fa67lkKlwbVOc0SqRO5yuL6PrRcFhLsm+XZEpzQtd7yHnll13RVTaNqqrqoZcppwqdhBB0HJQNYFiDmFeN5Ie9WnGwR8K+oUIHh40NIxYV0Nyo7VQpAuAXB6jtNTeY2x2dh81JhU66/6x18TIiqH5SEAR87oxqNZXF358fxG3/24e//LPfVTXLTrqoQJ58cUERVKJ9URRwwSes88bZuQaiKKB1YgTHzoxaFu8AgFOP1ERHa9YZOwbp7xfMyxUpHUoUzYlWV1eH2bNnM/9qamowfPhwzJ49GwDwpS99Cddee626zre//W08+eST+PWvf40NGzbghhtuwNq1a/Gtb32rWIdRMjBVFCusOicgV3r53Bm5nUlTnYArl9QYlsQudZSBgDLZUQaRdiY86rpDz3ilIpvXwQU9qA2H9HbladOY1xrFF8/JfSj7fQ3ZqnTB3Qv6CUDIJ+edUtWoRldRrbY6WFtX9hvRPefL+R5TjklfmMromIIepAOaY8GoWmEsSjnRUu72z1a7y1OdU/Tu9LWDcg3q4mx7ytmu/CKdIeqEv9piwsxW52R/M6uCGfbRSapcQ/27TatrSLfTyGlsRE015UQbDM4oleOJ6V42V4pN0ufOqDInoDmcAG/VDue1RvH5Re7GZvqXdgAYZ4re1gH2BUNU96xSxHQSsf/s7+7XGuE1Kb9ZRUIndqVUVRUEe85n+vomysiJ1psgGBzylYxqyn/e6WrTQbwc3bBVM7bWSbJh0c6t/V3+9kf7u7WDGG7hRGuknGj5kszT9DFONHcvBPywZyPGjwybpjtxWs2ys6f4lTmDfDFDiPE6QT2r5rVG1LHa2+3pHMftzn1ZbNohPzDGDBfLKoVSEJT00W/btg2iqN0UJ554Iu6//37893//N6677jq0tLRg+fLlqtPtUIauoliu1TDy0ah7SzhjchhXXVBbtm+MlQGkMjhQJj12rp+6rk5F412JptmRKApMOKcfE+3pE7Uu57CxISxZUO1Yvp2PUMCDLYWMzuEY9tF5N681igM9WTzyrJYP4YKF1YFP7ua1RjHm1QFs26Nd7JuvrEcoVLT3LZ6ZO12bKQ+rF/Dlc2sMbU4UBcjBQME4lSRJc5hEDZTiVmojuzCT0jxKNNZeXe3ONvNao6ivEfDLZXKeppoq4JavN5Rt3+0XiUFKdWLi7ABYJ5TeNpK0s4pyxPrtJJ3XGsX4VwewdahvmD4hhO9cVGd6Dc2ce1awTrRgHQLzWqNY+2ESb7bJN+WoYSKuv6y+ImxygLYrE+csHb2Z9uhknTianUpceEY1TpsXy3suszo1NwBEGSdabrsY56xOvUQ74NIZIGTjcdlDOdEaarxf+3mtUcxtieD7f+hC34BcAc9JX6dcu3hMgKB/+2MAo0QL+J7xk72d2nkfOSx/KHGYMrEgXnK1bdU8yYcPOdFiUQH1NQJ6+gn2dfk7mDww5JSLhIF6C7trdK1E0z7XuHSiAZo95wsHdIIkEbUKqhkPPZPA3BZr1RSgU6IVyYkGKA5HuQon7eysjQu4ZFHc1didEIInX9XmAOedXoXG2pAv18CMcEjASXNiePLVQUgS8NK7SZx5rHbz0Sq0U+fFbPVRlUxJOdFWr15t+TcAXHDBBbjgggsK06Aygg67y1RYOKfCrv1sp1sdE8p6wKs4eFQlmuoIyz9AyOjDOVUHnLfBhd4xJIKyKx8GLvQAeGxzCK0T/c9fQPt7grwX2AmAwExaMz6Mt/oG9H8HP0AmhGB/J7sfgvK9xwB5YkGGDmn0cGubC4XkaxeE85W2fSOnQkgUEB7av5ECww60TebzezL3SQHUy6wjp7z7br9gQrcsnGi0YkqvUkyZOKtCjLLSQyMpMlmqjYL1NaTbZVuJRoW0JgrQ39F9bDhUOTZpxzlLK3u8KNEAqPlxFMYMD9k6lxlGiZYbzmkU1s4o0SJWTjSCqmj+NvT0a9vzqkRTEEUBDbUh9A1kkc7AkV0pajIzBaGeclWiKaGcADDShhItQtlr2ufnMyEEbUNKtEhYDudUaG4Q0dOfRXcfQSpNbPdl+fZ3YEhBNbxBtHREVMUEVEWBwRTQ5TacM+7NrpVwQL9o35FBd5+1rXb2ErTvyOTdbyflsGosohMN0ByOy58fwMrXZGfTGcfEXL/8Xv9xBjv2ysY+aUwIZxxbVRCn1clHRvHUq4MgAF54O4mFR8uDicEUwWvr5eOKRYATZh/aoZxAEcM5Of4iVHg4J4CcNxd+TQyKheIs0xxh9sM51XVVB5z9da23q30OifBdiZZMOZ9YOcXPMCYr0jqHY8hnZU9vP7sR/UQlCPoHSc5A3OsEq9jQ560uz2BSdUYHEAactOFUUL53rURjbDJ/ngxlPFaIPJp0f10Ip105kLChGAJY51iuEo22K+37IMLa6eum75/0sEo0e9unHT6FeGnQm/D3JVGpQPfh1Sa59uiwfa9KNL0t2B2bsSkR5P/pvtEot1nKxN4B3THZfG71MOGc/o1JFFtOZ4xzuxlBCGGUaLb2U6Y50Wgl2igbSrQgXgoodByU1OqFLePDzLOTzot2wKe8aD39mirdKh+agpIXzbUTzYMSLQh68jjQnCzXRSnRhhUpJxqNKAo4YZbmXNq6x72x0iq0s08ojAMNAJobQpg9Ve5cO3sJ1m+Wj+GNDzNIDkXZHjczapmC4lCh+BbH8QXRZ2dHKaJXopX7oFdVk+lCMjNZeTBlhapiG3rYKwMMr4OLjE7J4neuPTPVhJ8wYUwBOloZ1U9Il8jbh3Old5rlm7T6wd6Dufso9/uMnijr83LpUWwnCAd9yoZTQfnerRMto3OC50NVvxbghQRtR34rCcoV2olmpTyhcy7qVYpmCsdwAP0gfV/kc+q7yYlGT/YSBQhNo4/BSTL6UqfYSrSMTaeRkXI24ls4p92caP4r0QA2x6FdW06m5XxugDsl2kCAeQT9Zq9DJRprr/72DW3btBugdTL7cG5upPKi+eREo/OrDW/M70BUFFbJlH1HqR850YKivtZee+wsd5DKiaZP+VMsRg8X1XyGW3a761w37cioucdGDxcxt6WwVUdPpQoGvPBOGoQAL76TNvz9UKY0LI7jGaY6Z5lPeo1IZ0jOBL/cB71aTjTlf+2BkU84oOVEY/8nRM434LpNumT5os9VX81UE37ityLMDMVhIYqAKAi+J77tSxReiWaU96Pc7zM6XKcuzyRJzUsYgN04UaL5Es6ZR4kG0HkYg7ct2o4kyVs/VSkkHFTii5moFM3UvUH0g7Rjon+AWF5DpZ2ikL9SrEK8QIUFANn++qg+tdxfFtDYyYnmZ46pXt2zyq6TXF+hHGCLBRg60Sgb1FfnjDDHZK8NPX3BKtEA+44PO9ctZz+0sy5AJZokEbRtS+OND1Jo25b23H8rSrSQKFfnzEckQCVaG1VU4PCJbJYjxonmU140uqiAHSWam7xodE5Jr+GcfuNnNUtFiVYdE1BVIsooURQwcZTc9s5e4iiXncKTr2i5Bs4+oQpigXOPzTosrCr7PtySxfqOqdi1Xz6OKWNDmDCqpLKBFQ1+FiqESleidRzM5jiWyn3Qq0xc9TnR5N+slSRadU6B+R+Qr7/o8plJh/3owzn9GLjkywvlB4XK9aS8DVUmiMz18yOcU+c00zvVgoAr0eT/gzhmO7Zv5iixi1G1Oytk5R0pSB5N/TnNZIFoaY3tC06CchRZ5UQD5JcOiWSubdBOBSYnWgD9IP0MIJDVDmaOByV3WzQC22EodEXi/oDDOfsHCeg9lHvYOo1TJZrXFyVulWiKXdJOVkV1mZWAlEG76LbmVOfMo2IzosfH6pw0cRdKNCYM16ZDoKoAhQXWtaVyEqY31skVCd3ke5IIwd5OuTMZ0SjmrSQN6KrJ+vh8lghRlWjVMQETRrEe/xGUE22fTxU66bBQe+Gc2rF39UoYPTz/WwlFiSaKQFWJFRtWqlkuXd5vuoydapaEELWwQFMep1yhmTwmhPbtsl1t3ZPBnGn2L8KOvRm8/7G87rB6EcfOKPwFFEUB08aH8PoH8vnd3jVO/W3SGJtvxQ4BDvEhbOUg+uzsKDV27zea3BehIT6ir87pRDmg/B4ycuB4OC/6HCWsc9b7wMWOGscrYZ1DMShyKqSG/B3k6d/uF0KJttdgkFjuoXfOcqLJ11AKWolmkvBauSckyZ0NGVW7s0IrSOJ4V47ROym85mGqBOyGcwJypTjAKJzTWN0rCIL6MsWvflBvk1Z9kmLvMRvJ3RXowgJBV+fs7We3X0n2aMcZEwlQiWY7J5oyjtFNlpV+MG0Yzmk+hggzaiW7TjRNMeln2BuT8N+mLdstNEITEgXVSRKEEm1dWwpLl/czDjQA6OolWLq8H+vaUo632dWr5QSzU5kT0F9bx7s0ZeferOqwnz4xt+Jhc4O24/0+OdHYcE5nSjS7edGUY6qttlfltdDI1SxrchRpNdUCrlxSY8s52zdAVFsoZmVOIyaP0TrYLbvtGayi9lz2VEL97szjYraiCvxmXVsKr39gHBLx3JspV/d9JcKVaBWCQFVRDCIpdrHZud8ozKx8j5MQrfMXVUeY3glj3HESQtRJvqpiowcYkvm6+dDnVKLDhP0YuDDJph1Mrpzgd24yM3IqpPqoREulCQZ1zyj9RCUIlLfDNH7nHyk09ES/3rYSzf922Em0Tn+fTJO8xQH00O2283bfSUVgr+idFJWk/HELPWmuyatEMwnntFA4hkNASvLPSapXLMl9kvEkWHH2OXlZEotCVSEFXZ0zx/GTkZ+tpTjhdIrjnGge7UPvTLU7NlPsUu/wj4SBgaSxEs3KicbmRLPVBFWJVlfjb3XWuIuqmbQy1UnS7uqYgMEU8b2wgCQRPPhMwnKZh55JYG5LxNG5c5oPDXDnILVD21bNUA6flDslbqjTqmb7Ec4pSQTbO7R9DrOhoGpgnGjOcqKVWj40GqWa5dNvDOKx1XIS/VmHhW2rGzupogJNJVBUgGYypdaykxfNSO0p+OzYt0tQ930lUlpWx3ENmwC+iA0JiF1UZU7lli1nJRo9Z1XzmjFVJc3XpR00ykDYr3xcrJJF8D1M2Kqyll/oQ1uDQh+K4mdVUKPKdIMp+yEqbtnXWXmKT7ogQ/6caLLtBOFUspNonf4+5eJFHxPOaeMFv3q8XIlWFBglms2caHqVYsqi4rFatdmHc52VCPT1bvRqLhpViebAiSYIAmqGJg2BK9F0jh+CYBSoxcCOoslPp4Tr6pySFnJGo+WGNMqJpn2O5IRzap/tOPIkQtAzZAd+hnIC+nBOe4blRokmLysO7cffe6Z9RyZHgaans5egfYezNyId1DjDvhLNP6cvDVNUYGLuoFQUBAwfCrnc3y3lLfplxbq2FK67oxvb92rHf/PdvXlVPbTKyk5+rawkqk7kUsuHpkcUBXzimCpVTfn+xxnb469OqqhAqSnRhtWLavqQrbuzlnZjpvYkBPjLPxMFV30Fdd9XIqVldRzXCBWeE02pzBmLahVbylkho0/gD+hy2Fg8RFi1Cfs/4O36Z3XbFqisMX5MxKxUE37B5gIKZBfMttVwXNE/551ZJU4j55pf9A1IhoPwcnd20JPlfG/1AlWiUc4OM9unnSBu8qLpK8bmI8gccHpycqLx8ZdOMWQ9HIvqVIpGn/UvJhRHiR8574yul5k6VpI0pbXTlyWK86B/INiBjFHbyz10XYHJtWcazulPTjRCSG5ONJv9if4ZqqDkOksZjPHoEE/r6pz5958Y0FT9fhYVAHRKNBfhnE6VaIB8zH5GaPTYVD3ZXU6BVqKNcqNE8+kYs1mCjdvlQWl9jYAxzcZtUYoLpNLu02p4CYvV50TLRyqrdbqlrERTCIcEzJ4itzkxSPCRDeeMJBFsoApCNNis+FkoBEFQQzr7B4lpKLBd1VchCzEFdd9XItyJViGITNhdZRl2MqV1QGOGh9SBUjkrZBg1mRqSaU9NxiT/V0IJmXXdX3+9koWpzulHYQEbjgSvMIqwAB88amEI9Rpov3m1zR6TgZqZc80PjIoKAOXv7FAmy7Fo/tAy5RpKEjy9cTYilc5v+3Q4pxvVIduv2AjnVJV3jnflGL2DotKeU25wU50TYFWKVnal5kTz4VwbXS+zCaWXlyVKWGsyHWzKBiMVXaXYpOK0iUXMq/T6pUQbSJKc/sNpdU59ERQtJ1puP0w71vQOWtaJlv+YuikbaPBbieaiOqcTZSoNvazbkE599c10RsL6zfYUMPUOHRh7S0CJJkkEL7ydRHLoEKdPCJmGcjc3esuL5tVR0uAwJ1q5OdEAYE6LFsL5Trt1eXJF0ffcm5p9Ll8zWHJ5utiQTmOjLUXVl9372el9X4nwnGgVQiVX59x9QOt8xjaH8PEuuTMpZ4VMhlGM5CrRLJ1oBnmP/FJfMe3SV+f0wa6sVBN+wSjCCqhE89N5p68oqUxWzZxrfrCPyvdRUy2oiWnL+T4DtIl+vqICQK6a0E5yfrvYsX2vSjRGpVpyhQX0eZOC32epo1TTEwXZyWuFmW0kLcKE5b4p18nhBqPrZaZEs8pblY+aahGAbJCJQRKYwsBQiVYhNqk4Z60cMYxTwsNxGzlS7SqFsrqUCAqKM4xA7tPoME2rsPgItR07jrygKnMCrLI0yMIC+mUHkgT1NbZXBWCcj0nJTZiPpjoBLeOdTSU7hpRo0QjQaPP+DtOhuh7HJEbH+8HmLNa1pQzzcY2gKmju68piyjhnx+vEUWIUUhoOCeo40LkSrTy0MrOmhCEKcqqbdzelcf4njPNTKoo+PX0DsqLvyiVwVTE2CCaNposLZHDszNx2laLqq2V8GI11gqXNurnvK5HyuLs4eREqOCcanQ9t7AhKiVbGA159FUzAvhOGXtcwH5cHBw6rRNPlRPPBmWJHjeMVJ1VO3UIIyUmKLProvKMnJmObQ9T3hVGijRuh7bOc77NMlqgTmLo8RQUA+3kJ3ZCyoc5h1EbWL2MNYVSqNp7uigpWInJ+oCDhSrRcVGdHVf4KamYqRas+VS0c4YMtO1Oiue/n6QILQeZFM3ohUSk2qfR5Vo6YiE9OCSMbcK5E04VzWihyaSVaxDKcM/8xdfVpDR1MSb6GTFUzOdEKp0RzmhfNLMzQ7tjpwoVxR8nFs1mC/d3yxkc2mau/9IREAcqiXvozs+NNJM3DKpupCppulGh+OEqUCp3d/STvszqd1W7uGhvjnlKgpkpEywS53fu6JOw+kHueSzH00Qo7xQVKUfUligI+tzBuuYzT+75S4U60CsHv3FWlxK79rBJNmehmpeAnfkFhNNkN2ZSrG67rUz4uxokm6sI5fVGiaZ+dKhTswjjRAroXJAnqHWesRPO2fTpscwzjRAvO3vd2Ge+znCeWfdT5sqdE0z5b5SV0Q9KGOidKVax1lxNN/l8UYWtyYjeE3A/0fVo5h+P7herssDFhZopOUONxxq50L7q1nGh+hHPmfmcWXp6yUYnWjBoq/CjIvGhGLyTK+YWBQjpDVEWdVZ4935RoBjZgR4lGVyjXq2bpXGf6lwlsTjT2N9oxmO+Y1rWl8NDTA+rfq9+SQ8T8CglzE87JKtHsT8/iLsM57Tgl6uICrvhMPCdnXFOdgCuX1DhW/ezvltQ8dHYrcyqo/ZnLZ4dbJ4xXJ5ofjhJFkStJ7LjGiFSm/MI5AWBOi9budzflvkUsxdBHK2rjIpqHVIzbOrKGAgdF9WVFMVRf81qjuHJJTU7b3N73lQp3olUIgkAlia6wcE7aiTZuRMi3wV8xyTBqMoNwTotryIZsDa3rk4KGrc6pVziWhxKNzgUV1L1gFDbHhtR6DeeklGiUKizQnGid8kEJAMYM1w6mnEOc+qhJuB0lWpBOJcb2o8Zt8Ssnmt0wVL8KktghN5yzfJ2zfiARok547YRu0f0lXaTCSuGoVef00lIZo+tlqkSj/BDOwzkLo0QzVlCVv03aDQmkw+O8PK8Mwzlt2Bs9nzTLiQbkFhdQHMjhEHKUELQSzagogYKiRhpIst/bSfJul1hEDtMGCqBEc1HEALDnlOhNENTGRdxyZb16PM0NIm75eoOribSbfGgKkZCSD9mdvbp1wjQ3UDnRup0/KFvGh/MWrsjnKGmkqk/my4uWLsNwTgCYM01r9zvtufdgKYY+5kNRo6UzwO79uR2jKAq4cGG15TaKpfqa1xrFT7/egP+4oApzx36I/7igyvV9X6mUz93FyYsWulE6HYgfKOGcNVUC6msE9m1jmR6rXvEF2C8OYLguMxn2KZxTBERK4eiHcqQgOdECDMlToJUdSkgc7dz1rESjVBJjC6RE2zc0uG2qF5kBfLneYwDQQyWOrrOR88ZuXkI3OM+J5nwfyrXSh0eZUQjVpkJuOGeguyt5kim5hD1gb8JMqxRTJtU5c5xoPua8M1SimYSXewvnpHJJBViN2FhBFdjuCoZdR0yEel55qUpqnFsu/3XLGrxIVKAVZvptKbZv5JxlHIMmbShUSJggCKpzK+FQiSbYyJFI41aJ5sQpEYmIGDlMvjftJLc3w01lTgXl+rp9sefWCVMVE9SXcPu7nN8sgpC/emQ+RwlTXCBPXrRyLCwAACMaQxg7VCF1y64sunV2Voqhj/mYNIbOi2ZsO421xs7kUlB9iaKAlglhjK3fh5YJYR7CqYNnhasgQiEAmcoqLNA/KKFr6IE2doScP8HvKj3FIMsUFpD/D9tUhbBqMYH5H/CzsIAAwedwTkU1EQnnvkX2i7BPlUqtYCYAYWeFIeygOMtEARg9TKS+D+bm7huQ1MnXyCaxIu4xILdAQz6CrOzqNCcarTayi1Mlmp+O33zoJ7XlbFd+kBjUTrg9JZr2OWngRBPAhrMBWp9EIDsPvPS5Rs70wZTs1NA7NJjCAiaqSzPiBciJls4QDBqIjcr5hYEC7USzrUTzoAo1zi2Xfz2jl4EKEYvckIpt6W0d0DkGTRwtXpO8OyFeJRfosa1EowpCiDZzhQE6JZoDJ5pTp8To4SHsOSAhkwUO9EgY0ehMSQYAHbQSrcnZ+mq0jcv71IsTprlBRG8ii65egnSG5OTjs2Lth2ls75CPWxC0lyeA7Ci5cGE8r6OkkXKidedxBqbKMCeawpyWKHbtHwQB8P5HaZw0N6b+Vo4J7/V50U6mjkdh7Yfaw2jRcTFMGBVGfa18HNxpVdqUjqVxPCOrD0hFFRbYvT83TxM9QSzXkCB2AJkbkmk1SMirRPMUzkltOwTfCwskLd4i+0UhQtSYcE6HSkI79A05f2rjAuLVAkRRzoURlBJtHzOwFSviHgPY81VvJydagM5DWznRmMmjm5xoQ85Xmy/4/arqawf99svZrvzArrNDIWriWEillD41Nw+e3p6jHmIPzJwSfQMEw3T2nPQtJ1owNmLWj5Zz6LoCE85ptzqnFyWay5xo7ItEnRLNoh9UrpFRH2qnWEIhQ8KU8z+QlJPB53OMDTjIkWi0H3obdnDqlBg9LARA7nz2HHDnRGOUaMOcKtHkOY5be/XihGluFLF5dxYEwIFuCaOH2zv2voSEB5/WlI9XfCaOmmoRPX3EkaPkUAjnBIC50yJ48pVBAMA7m1gnmigKOPGIGFa8PGi6fqklvJ84Kqw6TrcaKNEkiWDtBtmJFg4BZ8+vcpQPkVNc+JWqILSkm5UzOWEqcw7JfOk3QOWqZmBzosn/h2yqQjJGKjbaAedjOKcgaHk9/FGiyW0LKh8aYN8Z6YWMgRqQTUrvftuEEHWSVxcXIQpaKEFQOdGUfGiA/Ha4Eu4xgJ0s28qJFqADNkUpy/QJsRXM1EZ20ZRodsM56T4n4HBOrkRjSNjMXaXAqBQZJZr8v2F4m4/2bNaXGqljUx4KyLA50YLp78wUvZUwdmLCOa2qc/r0osRtdU6jvKIKdP+YmxNtyGlsoARiq3Ma77eQIWHKfU0ImyfQCEIIU63XCW6VaE6r8I2mcqV2HHDXgSs50eJVAnOv2yHicY7jpepgM+UwdFJc4OFnB9A39DJg3vQIjmqNoXViBMfOjKJ1YsS2w6eRske74ZzhkPOXGMVm0piQmj/uwy1pxomeyRK8tcH4RiqF0EcjYlFBTcmyc18256VA+/aMmnZk1pQId6CVGfxqVRCK+qCSwjl36ooKADqHUZlOxIwrbFK/W1bn1D4rk2D6QexXYQF9wnw/c6IFlQ8N0Jx+QGGUaGEDR6YXJdpgStu+4vhRKkv2DRCQACrS7j2onagROiVaOU8saaejrZxoAYYCJ6kwJLOBc8wijMkOarU7F0q0glfnPMSVaHTRi/4BKW8OJjN1jtWLCT/tmXZK0P13b3/udhnVpYOwJ0DOfaoQlBKNrm5HH0u5jido+ijHY0+/uV2JQy/JAG/Hraim2fNoQ4lmkFdUwaw6p0QIpUTL3WbEIpeaQiGr4dE56RJ5HMKpNNSqld6UaM4GPfNao7jiM7mOJSOnBK2+2u3CiZZKE3T2yO0b2STaqiBNE1YLCzjetYpSdVCf8iCfE4ap0Nlt3QBJImjblsbjqxN4bb3s9InHBFx0prUDz4oGJpzTnhOttlpwfI6LjSgIaoGBdEZ2pCk892YSe4bGqoeNEfGdi2pw2adq8N2La0s64f2k0bKxSQTY3sHazhtUKOexM0qz/RxzeDhnBaE8FCopnJNWoqnhnMzbxvKciLFhk0peM+p3iwkVk49LTWpPr+u+XYqCShSghh6EQvKbZa9KFUIIUkPPiyCVaHLePHmgFVhhAV0VU0B2jMjBBt6UaD0Gjh/FmZbJyk626ty0Cp7YS71ZHdkUYkKCyjnEyakSzU/ljp6UhWJIIWqiNrKLco/az4lGr+t4d47QT6y9JDMvd9a1pbDsyQH175feTWP95m58ziI3TjRPTjQjp0LIx+tLX7+mOhEdQ5MZYyUaFc7pcF7AFBYIKCca3Wb6WMp1PKGwri2Fv6/R7Grla0m8/kHK0K6U52Q64zGcc6iPrY+L6OyVkJXsFWgwqjKuYFadM00rHF0q0RQ10tLl/aZt8yskrEZXNXN4g/mytIKsUEo0hUmjw9TnEP7t9GrDMMNRVDXNjoPOO5R9XZJaqmqUw8qcgPa8kiTYCo81Y15rFMPWJLC3kyAcAq66sDZvWCXjRLNQoq1rS+HBZxI5IaPHzogwjjCn1MYFhES5H++yCDUmhGhONBspLEqROdMiePEdebLw7qY05rZE0d0n4V8vyX2bAODiRTWYOLo8XBiTx4bx8nvy8WzZncHUIQd9JkvwVpvcqUUjwBFTy0w2yOFKtEpCLWcfcFhOoSCEYNeQEq2hVlBj+yMVoUTTPmtKNHshdIyKzSgU1IPiQHE60ZMvreqr680CkAe1SsuCzIkGUG0O6F4wcoLKn+X/JR8mJUCuEg1gnWx+oYRzCpAHi5VQARfQJssCYCt0JMhQYGUyaOVAjplUYLSLev/arc7J9DlBh3Oyfx+qSrR1bSksXd6f4yDq6iVYurwf69qMw1ViBpVbaWWOoRKNyXnn7XzTjpFh9XSxEyMlmvbZaV8fi2rtDkqJRlftpY+lXMcTgGZX+oIJVnYVUZU97s5zViLqNaqLa5XTzfKRsetqn/XKWdohTPeDtJPTOCca1Z9Z9C/zWqO47FP21FdecOLconOZOVWiVbuszqmwl8qJOn1i2DTMsDomqFUm97hQorFpI5xPP8PM9XW8OkPvUJqypnrRVlglnf9tf7fxGEy5B41yrq15O2Xat9tBFATVCWelREumAULk5cqpMifN4ZMiah/w7qY0JIngsdUDat928txo2TjQAGDyaKq4wB7tHvhwS0YdB8ydFmHGf5zygDvRKghlAljOA0Ga3oQ2QFNiygH9g7Q8J2KGObVsqgbYpPZDKjafEoQrDjh6UKs4ibwqGVIekk07JeSD7N8KIyWavN/c351CqyTqVSeaQP3uv80rhQWa6kVEwroKuBWgRKupFmw5luzmJXSDnVBmM7WRXYyc4FYwfU7g4Zw8J5okETz4TMJymYeeSRiG4DHqnKH8ekzuMYMBuJ/VV9M6JZpCXiWaQyeaIGi5koKqzqlXoimU6wsDt3alVOh0qzbuHyDqi7G6GtFRuJ1R6ggFM0VZKkMvk7tNtrCA9f6nU5U3J44OBRISRuc3ypfwn3Z+VTt0ooVEQVV8OiksoLBPp0S3Qgnp7BsgaiivXei0EU4rcwL6VC7u79VUmqjnu8FGmgdAzkmmjIuNlGhe+na7NNTI//cmCD7YnDLcVh/14qFcnWjRiIAZk+X7szdBcPe/+rWw2CoBnzm1upjNc8y4ESHVdrfs1jqxNz7QnKrH8FDOsoQ70SoITX2DQPImFRq2qID29GQS4pbpRIxRMhnmRLMXzqkp0ajffSgswKirPJYVV7BTndAv6HshCJiQWupchUXvDkdWiTYUzlljPWn1Qt+ApL4NU94OhytMiWYnlBMILkeY3VBmLznRJEmb0LrKiRawgplX5wTad2QsK8MBQGcvQfuOXK+GUdGJfM4qP6uv0us35VOipbz19UpC9uAKC1AOQVqJVqYvDNzaVdijEk2vmlYminbubfoZqS+Eki//n34ZhZAoq46B3IIEemin1djmkKMk73aJMznRrNvjtNCI2b7chHPuc6AQG02FYe5xGNLZ4aEyJ+BfRdke+kVljb1zLYoChjXIbd7flc2ZY3np2+2wri2FHfu0dv/uoX5cd0d3jrqNVu/WlGk4J8AWUnj9A20wNG96pOzCVEMhARNGyffNvk4J/QMSUmmCdzZp+fJmHsZDOcuR8rJEjiW0I0UKyHlQSOiiAowSjVHJlOdEzDAk02ZxAOOiBP4UFlAG02GjcE7PSjTtc5A50QD/HH9mpBknGrVfH9SgbDL8ISUa9UbRbyXavk767bASMk0pAcrUUZ1MEdXm7BQVAOznJXSK3VDmcEhL9u1UiWaVY8gMNgzc0e4cw6tzAj0WuWzyLRczcCywLyZyt8OOCbyGcxqHQBpVDPaqOlZySSVTwfTh9IsI+ljshCGWIm7tSlFuuXUeMs+quKgqyOzc2xmDF4kKbHVO6jNTsCJ3m4IgqC+A8h0TU8XUofLLLkxhgXzhnB6UaPQ6XsM5R+RVormv0Lm3008lmuPVVehiKHbHBgAwYsiJNpjKDTX30rfnQwkT1StGjUK1+ytAibauLYU164xDX19611tYbLGYPEbrsLbuyeK9j9Jqxd4jp0cY9S2nfOBOtAqCcaRUgBONUaKNoMM5tWXKdSKWr7CAVWJ6IxWUXwmkVSUaZUtawQpvEwxmABxw7L9yXoJyJrOhKLmqPS8OGGMlGuVE8zknGp2nRBlAM/dYmTqq6Ymy3cGkX85oPXadCoIgqL+nUs7OO6PssPlk9ysM3A451TnL1GHhhfpae3ZotFzUICdavhcTdvNs2oF2pjfUiGoVZL9zogFATbVmmEHkRVPaLAhsOFe5KtHc2pXynHTrPDRTojmtzmlZWIBWomWMl6FRJqP51HBenVZ2iOsKC1hBV+90pUQbCh1NpZ33rcoYIBxC3sqloxglmlMnmrx8fY2AKhfnnFWiue8XuqkxVINNJRrAFhfYpwvp9NK3W+E0TLTcnWiFCIstBpPHUHnRdmewlq7KOZOHcpYr3IlWQbATovLqYIzYRSnRxgynwzlplUx5HiftJFPVZDaLAxit61euCKOcSqIPIYqATjURcE7QoPMD0tul7zs1f5ynwgKU88egsIDfSrS9Bko0v8ImigkzwbP5tjnk05tuPU5CmZXfUw4n9GaOXSv8CgO3A8+JBrSMD+edpDbVCWgZn9tBRsJUqJqiRMsTNskoK30M54yEtb7J75xoAFvVMIi8aMqLiLq4gAjl1C7XcZNbu6JVW25SgNBhcXU1opqv1o4z0iilhQJty7QzjFWimTnRctczgnaiOU3kbxfaGZZPIUb/7sbB5La4gCQRNcfXiEYxb8XL0dRYfM8B+4PCgSRRC3q4UaEBunGuB4c3XVik3oESrZkuLqBzorWMDzMhiEaY9e1WOA0T7RuknWjlN8UPOiy2WNBKtA1bM3jvI/lNU11cwPSJ5VMkgcNSfncYxxQ/y9kXG0IIdg850YY3iMygwq8HaTHJGiSmt5uPKWtUlMAnFaIykabbEvbJIZUsQjhnYNU5qe3Sqq2wul/32zZUojGFBfxWouWGcjAJmitAiVbvJieaj7bjxPaV352GczLV7uwWFvBRqZQPfShKudqVF0RRwOcW5lYFpLlwYdwwN5MgCIgOvbB2lRPNoz3T1ysSFtS+qTdBchwwtO1G3IRzUgqKfAoepxBC1D62Li6yL+XKdDzh1q6UYydwp9rWK9GUfLVZSa4cawWbE439jX7+0GrLFFOd03i7mhLNcvclqETz5tRzsi+arj6i9v35QjkBWammqKWdKNFoxbubfGiArqiYB4d3D1Xd0m5ONIBVou3vZo9dFAUcMc26szPr261wGibK5EQrQyVakGGxxWREk4iqoef3xm0Z9Z47+vCo7WrqnNKDO9EqCD+TCBebzl6iljOm86EBuspNZfrmmH0LaxSSaaFEo9YVVRWb8badomw7bBCiSEj+gbEV+ZIC+0ng1TmpATr9ANQqmXoI5xxSSUTCWuhfkEo0JamwAPlNNCAfk/JCulz7EiNnZD4KEc6ZL5RZVaI5zomWmysxH4XKo5mVCPRdR7nalVfmtUZx5ZKaHMdBU52AK5fUWFYHjKm2If+dPyeaf/bMqG9DmmM/k4X6rFZIUZVo8ylbjKAnf30D/hrmYEo7lrq4UDFFVOa1RvG1JbmONCu7om3QjQORzYkm6CqnW6/L9le6cE5qO7TjLE051MxyCCmOvHxjQzpHWbWL8Ek7VDsoLDDgsbCAWyXaXgdFBQD5flZCOvd3SbZfhjCVOYf5oETzVFjArRKNcqLplGiEEGzZbdwoO327GU7DRJnqnDZfHpYSQYXFFpt3NqYNbdaJE5dTenANYQXBDJjLLF5cz06TfGiAfw/SYmKkGgnbVIXQuQAMVWx+VOdkQhSp37OA6LLXoCd8saBzog21XxqqVCu4mMhZkTF5i+5LYQFKJaG0OxYVEI3Ik2f/c6LJ22uqF5mJSTgkT6zK9R7TqyTsEA5IzZt0kGhd+T2dke91u2+urardmeFXjpl8GE2oyzXXnh/Ma41iwmsD2Lxbvmjf+VwNptuoDig7WAmlRNN+y6dE82rP9PUKhwQmRLqnX0J1TLt5lHa5VRzXVGnbTvicE41WqMp5vMo/dF1h5uQoADmf0NhmEZ87M46W8WFTu4rkKHucXS/9iwp9Wgmrl2VGVcYVaIcwmxMt/4u40lWiWd+AXgsdOKkESrPPRbL/UcND2NaRBSHy+voxuhFOnXVGRGinrxclWj+tRHNQWMAinHPL7iy2d8jHOHG0iPNOj6Onj6C+VrC8B/OhhGpbhTjSYaJsTrTy08k4Pd5yQCkMYcQ/XhjEmOEhVw5WTvEpvzuMY4rdcMBygM6HNraZNVP2bWd5TsSMVCN2w3EzBio2PyYCEqUWodvilzrHa8U2J7AOZf+3nzEIqQW0a6k475wiSUQdBNXp3lDR4VN+0TcgqQNu/cDWboLmUoWtcmo3J1owTiUnlWnZpNr292FV7c4MP50sVhhNeMq16qtfZLJKKD5w+OSorUlWTKdSzJdrL2wzz6Yd6OsVCetDzI3DOd0qjuMB5kRjKvPFxYoIXVeg1VWjh4fQmscxyyjRXNyP+vydTJRAHieWUZVxBTYnmvZ9Ko/yEtDSK0iS9QvFAY/hk3YIhwS1nU5yosWrnE/NqnxQoo2w6dwaTYVj2g3p7KCUaKNc5kRjns9ecqL1sY50u1THBDVfo76wwAtvJ9XPC46sQuvECI6dGc17D+bDaah2X5kXFvCS8qAUqdRCCRwZ7kSrICrKiUYr0fThnB4HfqWAkWqETQJt3qEa5RLxYzLMqOOYEEV6GfcdvdeKbU7wK7zVjKwutEn77M151zdAoJzhel0IojLY6x8gvilN9xkUFVDwKxdesXCjRAvKqZQvATwNrdJ0khdNYqrd2VsnKOWdHq5Ey0Vx2EQcvFCP6lSK+dS9QSrR6DyDfbo8jYqzw+3LEjqc03cnGpMMv7KUaLTayY6ayesLSaWPrakSEBKFHCWaFUYVytW/RajpBMyqc5qFc0ZthpR6TeRvF8VBl8+OFQeoACDmQpTiNicamxPVphONKS5g76bZS6eNcKlE86uAllJYoKZKMLUjM5SQzs5eSW1DYlDC2g1yTHtVFDhmhr+qIiUFgFHxkJmTw4yKqX9A/j8aDn6cHRRmx+slLLZYVGqhBI5M+eghOXlhHjBl7tVWlGiCwD6wgcpQomUNlGiizeIAjIpNcaL5oDjQ57zRt0+/jFNSlCOhUIUFAPleiDkMU8mH0TXQ7zebzU2YnA8rx4+sRMuCQHak+ZFLgX0LrQ+blkPHyjVPkD5syw4hm45spzipVsgq0ey3wUihmg+2sECA4ZwG2y53h4VXlBdATiZxMZ1KMZ8yJ+TTpFNeX/scDgO1JnkaCSGqgtLtJI5xovmcE41ua221yLyUK3ebZJLT28ir5fWFpNLHKv2rE4ckkxJB51MRBFnBlUzpnGi2qnPSKjZimjrCaw4yu8SrBHT1kfxKtKFrVx0TXOURdJsTTcmJGhKBYXXOnWi0wswMQoiaE02fNsIJfji8CSFqVVm92t8OzY0itu6RQ1kP9kgY2RTCa+tTap93/OxYIOlK5rVGMbclgvYdGezvlPDAqgTSWeCjXRkMJIl6/RUlWjkWFaChj9ePsNhiUamFEjgyXIlWQQSVFLvQZDKSmhOtsVbIkfp7DUEoBdicaLlKNKsBgpFizB8lmnF4hVd1lUK+JNh+EvYxobYRrMPRWLXnxpFt5fixCp9yy14LJZqikCnXinXKOQqJ9nPMhG06sp3ixPZp9Y4TJZqZOtKKoBWbCkb9WbmHznlFU6LZnxTQTqlkmuSt+upnWHtanxPNpGJwOgNVTes+JxrtRCucEq3cbTLh0DHkRdmTShMkhwpKKOHybKGCfEo0a+Vs1CC3WdpGdU67xRIKkRMN0EIzU2nrc6y0x22RA0aJZtOJJhGihiU2N4q2HRQjm0RVKWhHidbbL6ltqq2G69C1iA9FQGTHrPy5wUE+NIVmXV40QggTynnqkTFX7bKDKAponRjBSXNjOOEIWY2VTAGvrZf3T4iWDqQcQzn1KMfrR1hssajUQgkcGU9OtMHBQb/awfEBuzm1Spl1bSlcd0ePWimus5fguju6sa5NK/8VqQAlmlH+IrvFAYwS8vohczcLr2DVVe7PtxM1jleCDm3OMjnR6P16c97p8/XQ0Hm9ehP+3OBsKIeREq18K9bRKgm7hSVCAalSCpITzSLHkBl+FSTJh9GEutxVP15RQs2chHPGdAnX86l7wz72g/T1knOiGSvR8uVpswNTWMD3cE5te/W6nGjlbpOsEi1/JxD2kGOKzr2kOFTZQgXW6xtVKKdRqxRTfUfKRkoIu9XbFadVJGy/EIsb7FToJISov7nNz0avN2DznunuI6qj0W5RAUA+x80Nsn3tOZi1zP+6ri2Fn9zVq/69rUPKGdPbxQ8lWjdTVMCFEq2BrdD50c4sdu2XtzllXAjjbBRZ8IMF8zRn3fPrkiBEVjsqj/FyV6JVCkqhBCvKrVACR8OxE02SJNx0000YN24camtr8fHHHwMAfvSjH+Evf/mLo23dfvvtmDNnDurr61FfX4/58+fjiSeeMF3+7rvvhiAIzL+qqiqnh1Cx+OXsKBZKBZOefrbtXb0ES5f3qw/dyqjOmeuEsav4YtdVlGjelVeswo367JNztmg50QJwDqRNlGhhj8oevUqChlF+9PtzTPvoPCWN7ONASdCcybgrklBMJEK0KqcO3jaHA7IbJ46FmE5tZBerHENmBK3YVDBUopXhM8pPFOeAkwl8rhLNfjinV3vWF8Oh+ye6iIeTSrRmxKKAOHTbBqpEiwsQRa0mZbnbpNNk+UxRBYfHzhRuiecq0fI60QwqlBu1zSyc00zByRaKMN+/kj8uSBUawCrEzMIs0xntfLhVolW7UKLtc1FUQEEJ6UymgC6TUDRlTN+XsB7T28WPsT/jRHehRKPHSfu6sgVToekZPzKMKePkE7Jrv4RNOzJlX1SgEqm0QgkcFsc9yM0334y7774bv/jFLxCNasn9Zs+ejTvvvNPRtsaPH4+f/exnePPNN7F27Vp84hOfwGc+8xmsX7/edJ36+nrs3r1b/bd161anh1CxlLMSzUkFEychA6WK0VtYu+opQxWbD9eezfNlrETzokoqrBLN+xtLK4zUgPJ+qWVchXNaKNFMwqe8oCjRjPKURIZsgKD8+pOBQaKqWZ1U3wrKblJ5EsDTuA7nNHGCW8HmDrS9K8cY5kQr0zBhPyCEqPYVdaRE0+VEyxj/puCnPSsOiXBIzlllpkRLUfNity9LBEFQJ4H+FxZg+1hBEJgXBuWM05xoXpRoPQb5O8O6fGRWmFW4VlCVaNTLt5SNcE59TjQzFIdWUJU5Fewk/PcjtJRVotnrzK0KC+VjFFWhs8MgpDOIqoSsvbrrF7r7aCWam3BObZ1te7J4c6igQLxKwFEFTnhPq9HWrEsyLxy4Eq10qKRCCRwWx/rBe+65B3/605+wcOFCfP3rX1e/nzt3LjZs2OBoW5/61KeYv2+55RbcfvvtePXVVzFr1izDdQRBwOjRo23vI5lMIpnU3hT09PQAANLpNNJpB7EyJYxyHAKot8GpDMrp8Nq326tgsmHLIPPwTmeksryOaWrGSkgG6bTEDCasjitDryvJ6xKb61qRTGrbFQXJwq7cDV4Gme1nkE4H95AXBbrNaaTT/noIUrQUTdLOiSBo52YwmXG83+4+bSZTHc0y93B1VGKW82r3/QNaCElzo5CzvZCoHcvAYBpVPiXLVfYT5H17sEc7VzVV9vdFiHZd02n/+paBpLZd2fbN76GQqLV9YMD+fZKkPCoC7LWdPd5sYNdkYDB3hp7OEl/3Vwi78gt6ch8K2T8P4ZBmG/0DaQzm2JWuv/Hx+irPrEhYPsciiPw5A/T0a/bWP6DtM+Lg2PTEY0BPv1xYwM9r2jM0iY6EAFFII52Wq0qmM8bPznKyqz7m3LPPDyMEwf2YsatXWzheJV/nELU9+flnvn6aeobK4xj290hIvkckAgwOphAKCUimqDEEjJ+vdBsGBo37WkkiGBxy9lZFg722sbDWnt7+tNoe2q56KMdOVdTdPROmntf9g/bumd0HtGWG1Tnb74hG7fOOvSlMHcf+7mRM3zLB7lRUs5lkyl1/1tmjrVNT5bxvqa0mECC/XGzbpj3XjpsZhoDCzruOmCKgthroGwDWtaUxfYI2N6qKlufcqFKZPUXAzMlxfLQzi+5+goYaAVPHhSCKuWPvUqOcnoF+YXtM5nTDO3fuxLRp03K+lyRvN2w2m8XDDz+M/v5+zJ8/33S5vr4+TJo0CZIk4aijjsJPf/pTU4cbANx666248cYbc75fuXIl4nFriWW58fFH7QCmAABef+NNbNtwoLgNcsCunhEAZuRdbs1L6zCi5iCAkwAAu/fsw4oV7wfbuADYsfNwACMBAM+veQ7xaBJZSQRwMgBg774DWLHiXZN1ZwAYAQBYs+Y5VEeSyNDr7t2PFSvec9ymnsEaAEcDAHbt2I5Vq9oBADt3bAMwHgDwwosvo6m612QL1uzZOxdAAwDg2WeehCi4c8bZYceeaQDGAgDWPP8iGqr6fd3+tl2tAEYBAF566XnUROW64rt2twAYAwBYveZ51MWs38Tq2bRjJoBmAMDrrzyHdyOarIO+Ph9s2Aaxu93TMXQN1AGYBwAY6NmOFSs2Mb8fPDALwHAAwJNPrkI07K9MY9WqVb5uj+ZgogHAXADA/o7NWLFis6316HO8Zcs2rFjh7RwrbKbs5dWXn8d7Q/ZixPau0QCmAwDeXPce9m7eY2sfu3uaAcwEAGzc+CHS+3fmXaeTsoFNH23Gir6Pbe3LKR29wwDMZr5LpyWsWLHC930FaVd+kc6GoDzDujr3236Gbdk/AcBhAIBXXn0TuzrHAmgCAKx+dhXCIVYRsrdPO+8ffLgRqX3bXLe5t+84AFXIZlLqdQvjOKRRhQNdg1ixYjUA4EC/du9t3/YRVqzY4mp/yQH5eZFMA//3ryd8e14c6DoBQBQhYRBPPPE8ACCbkb/r7R3AihVrDNcrB7vaRPUzb7z2PD6MmfczALD54DgAUwEAr7/xFra37be9r48PjIcy3mz/cB16d+5nvss3Bt24dzKAiQCAtW+8hs0fdDO/d3fNBjAMAPB/K1YiEspi1+4joNj7c8+uQiSUq4Dasm8SgEkAgJdfeQ0ba7pylqHvv75e+/efG7ZQ5/ilV9dh8wf7mN9XrVrF9MMdu7ZgxQp3/XBIOAlZEsK+/b3q/WjFe9RY8v23n8fmD+znuT6YqAdwJADg9XWb0b/7I+Z3J2P69vp9eZcDdP3Zho1I73fen23cNxmK3W1YvxYHtnY6Wn9P73AQzIA+kKtjx4dYsWKX4/Z4ZWT1ZPQNTERWAv6+uhOAPK/dvmUDVnTvLnh7OPbYC6Dd+TStqJTDM9AvEgl7czfHTrSZM2fihRdewKRJk5jvH3nkEcybN8/p5vDee+9h/vz5GBwcRG1tLR5//HHMnDnTcNnW1lb89a9/xZw5c9Dd3Y1f/epXOPHEE7F+/XqMHz/ecJ1rr70WV199tfp3T08PJkyYgEWLFqG+vt5xe0uRdDqNVatW4fDWFrQNVbWce+RROLo14BKIPtK+PYN3Hs7/AF9w0jxMGh3C0+2yU6SpaQQWL14cdPN8Z+c/BrC7V75WZ55xOhpqRUgSwcqN8nE1Ng4zPa4dfx/AHmrd+hoRmSzBKmXdpuGuzsm2PVm8tEUedE+ePBFnnjoZq1atwmGHTcKWodwZxx9/IqaNd5c49b37EugckCCKwCfPPcfVNuySeC6J7etkp/78+Sdj8hh/k712/GsQO3tkp9InTl+A4UPJZnufGcSOd+TvTzzxFEwY5Wy/G/43AQy9lf70Jxcy4QvdfRJe+pPcsTc2j8fixS2ejuGND9J4Zaus0j16zmQsPGY68/uufwxg3yb5up92+hlorPOnmLPSX5155pmIRILpo9ZtzOC1bXJ/MmfWVJxxbP7BPADsOSjhpbvlczx2/AQsPsvbOVbY+Y8B7OoZumcXLrA8l2s3pPH+Cvm6TD98Nk4/6ihb+3jjwzTe3iWvN3vWDCyYNzfvOts7snh1q3zPT5x4GBYvPNzWvpyybmMGb+1k+3cCEWeffY5vuUAKYVd+0d0n4el22c7GjLb/DFv9VgobV8uO9SPmHoXOdWkcGArt/uS5i3LO5YdbMnhzh3zep05rweITWUemE15a2o+BNEFNPKa2d/2yBLZ1SEhno+q1fP/jDF7fLu9zxuHTcPYJxuO5fOz4+wA6P5LvmVNPO8tV6JUeSSJ4sk1+To4cHleP49U/9yPVSxCJVedci3Kyq+3LB7BzqJ85e9GCvOfs+bdT2PDskD3NmYfjZto/vsfXJNG2T37Gnnry0Zg2PoTVb6XQNmSfc+YchWNmmG9vcE0SHx+U1z/pxBPU/E4KO/8+gP0fKc+fM9FQK6LtgYRm74sXGeZ+DL2WwkcvyW2Yd9RxOGJq7jTnQLd2/00YNzLQMeSr76exYaXcLx8+40icPFc+J7Rdbdwh4NWtyj0zBYvnu+uHX9nRj64+glCk1tYxvXtvAuiVx2T/9unTDQs8mNE3QPDa7fK9VFU/EYsXtzK/OxnT/3/2/j1cjqO+FoZX93TP7LskW5YtW5ItI7F9t7eNDb5gjIVvSiDiOQc4cM5rck4ufhPzQQKBE/t1SIADTggEeD9ywCR8IYE4MZATJYAwluVYvoNtJOOrLMu2ZFlX67bvc+v+/uhd01U9famqrp7umV3refx4NHu6p6a7urpr1fqtxatEe2EnNZ69aTXWXi4+nh29ZxY7DnnPaGveeQmWCQQBbN3ewE9/FP6bnj+wCpe99RxcsLqzBvGXHHPw2W9PwwUwVfOFIW8ZOxMXnyU+J9fQCKKb7oGqQKoWkyB8tX/605/Ghz/8Ybz++utwHAf/5//8H2zbtg3/8A//gB//+MfCDR0dHcXWrVtx7Ngx/PCHP8SHP/xhbN68OZRIu/TSSxmV2mWXXYYzzzwTd9xxBz73uc+F7r9SqaBSaTd7tG275zpDuVwCkTsbRqmrft8Zp1lYOFyNlX8vGjZwxml9vgswPB+fbvqdBK5bBTlXlYoN2/Yedg1MeR5UrhH5u1zXv4n3zW1rWf5xc2K2jYNBPUDZttnaR9k2W21Fin5FPHUqtlz7RGBbvirWMC3YIhF4HHBcv0S8jzp/ZasOoCH9vZNzwoGBioH+PtYnYeGIC8B78J+aSd/vD034yrKli9vHw3K5Bv+8W7BttURklmPwNFXmtmDI4v6evrK/neOaytrXaPjX7OCA31/CMNDnAvD6V6Mp0ga/JKhc5vvNlYoJwOt0suMGD1yElzUbpg1bsT9iV9zbDb+fVWz+c9zf5wDwCIKmU0JtzsjKtoBKpd1XhX7LRbpnAuKpZlt+P1kwVAL2O3ABVBsWRgZNxguyv0/+O4f6/fGn2lAz/kxMOyAZKSOD9D3OK9BqNKLH1W7oV7M1f5wZGSpHmu8TVMp+fxLtH1Ozvkp60YgN2y6hUuHfn+v69+hKpf1eWan459+Fd/7rTe/3mCbQ1xfuI1RhxvDwNjQc/9431K9unA/D8KA/nlfr7WOsbdtMeffQgPw1M9Bn4Oiki9mam7gP13XxxlFvXF68wERfyPgRh0U2MNg/jakZFwcOO23fJ/JMz7uQ0kdN5WTvz5Mz/rPbcSPl2HsxDcdx8S/3x1c0/J/7q7joDP7fowJLFwNnn17DMy+zlQLj0wZKJUsb1msoQzfcA1WB93cKL+39xm/8Bn70ox/h3nvvxeDgID796U/j+eefx49+9CNcc801wg0tl8tYtWoVLrroItx+++04//zz8bWvfY1rW9u2MTY2hpdeein5w/MAWZupZwmRBBPTMFqG2N32OwmaEaa6xKTe4Q0WmNvWMIxWmplsyh5r9Et9h4LkTwCo1rz9RxkCqwQbha6+bJQ+DsyxYtKjZIIFvIfaYDKn9z1Gy6R4Yjr9bzpAmQqfEBJvT89Z6112nTHm4QIKlhKTVplNOmdSqEbQPJ4XdLCAJREskGV4RJRpebenIcqCTg1MIjpoBJNbSWBFlIG/yv5MxjN6vGPDTtxWu8LaKwraGDvKkF0UdKoxHYxA7hfd3h9J4qRt8fUrNslSMJ0zJElaLJ2TTXsNgg7cIHaPxE8sLoyD/k1R92C6P/VlHCzAk5o5rSBYgN62Wk++3sen3FZiumgyJ8FJc/7ERyddzAZ+m2kauOHSvtjtRVMJ2ec6gYZSGJ9LlTUMsdCh7bv5PN627+58OsmVY+1CkfUP1HHrN48JJ6BqaGjwQ2jkbDQa+OxnP4uVK1di48aNOHDgAKanp/HQQw/h2muvVdIgx3GYIIA4NJtNPP3001i6dKmS7+52dHM6J+AnmAQRlmDip2l150NvVJIeOYdxBEzktmb73+Xb1E7sAUBDInGSgBACWSdzAvxJp7KIShZjJq2C56FW982Og8mcBOShL206p+O42LXPf9g7fiSMtPNfZ0FEZonJkOQ4HmRFKpG+XzIRWoJEoxwgSnjBpuvybcPcMzI8x1HkRLenIcqCPh4iYlV6AaJWd1v9I2pMVdmfybmiExjDEoPpJNo0CyZ0quHUjJqLMYz4AfyxrtH0FDrdilbiJEcyJ5COlCCkqWn6yZA2tb8kQrIZshhIo8wsJnj7ImRaXOorm84Z/hkVaZi8GKTOxUxUOieVppkmLXSgz7/gZyIIO4KDR+lkTjmV50nH+9vtP9zegY5FkE6yqYQMQSr57E9ItOEBQ4jAG5/k+z7ez6lEFAF+dMLFHeunNJGmoZERhGqNLMvCF7/4Rdx4441KvvyWW27BDTfcgBUrVmBiYgJ33nkn7r//fvzsZz8DANx444045ZRTcPvttwMAPvvZz+Jtb3sbVq1ahaNHj+Iv//IvsXPnTvz2b/+2kvZ0O1jioDsfBMdGyzCMKbiuN7G/8dcGsXpZuyTZKhmowu06hQxB1ITXMr3fFTfhaUZtWzJQb7jShEcjSl2liJBKmvCpBEsoq78WWDUg9TrFsZqcSSZ+hgdM7D/sYLbmTSziJhNR2LKthrs2TTOrqn/6t+P4wJqBAFFNx8kLf02uYCbLAiSalRGpJNL3K+X2ySMPokjwOFimPOkrArr/kGQzoPuVP7Kgj4clrUQDpUQL/7yq/tx0XJBh1GaUaP6AR1ReVUo9mWasH+r39z01o6afMApVqu2EeHFdwHH4SeiigSiseImYNAslExQZYRhzSjSG5IjfPmoxkIBVos2RaC0lGi+JFkFaUQQTL+EoC5qkm4og0RglWor20N81XXUxFFPccYAivU5YKKdEO/E4vwPtO9zEqUv9k9Z0XDz8tCeIMAD89m8MwnGAkSEj9JmeBxZD0oq313VdjM+NU6IeiyNDfO3l/ZwqOI6LH9wXHyDy/U3TOH+1rUs7NTQUQ9goaM2aNdi8eTNOO+201F9+4MAB3Hjjjdi7dy8WLFiA8847Dz/72c9aZaG7du2CafoD3ZEjR/A7v/M72LdvHxYtWoSLLroIjzzySGQQwXyDxZRu5NiQFGg6bsuzZOGwidEVEf4kZOW4B5Ro9H2tRK2IJ21rGoBpUCqo1Eq08PIKFWqGZtMnBjtRzlnK+FqIJEFTkHc8xA/9/uSMi+MEJ6lbttVwx/p2Xw+yYnnTOrSINLacs7uus6jJchKyKomvJpAdNOjPiCjRmhHEbhxKAuVXaUBfL30VozWJ7TZyVhVq1H1LpJyTUefU/HKsyHJORf05ivSj1VwtJVqNVqKlUdUkkw+iiBpjrUDpejeSaM2m3x94iRge1VYYXNdtjbFhZbFAMinXjLCPICiHlLWT6yZuHOWxIeikEo1HHUYr1NIo0WjPsBderWPxAjOSODlAKdHC7Bx4cNLx/m/bd4h9OHz6pTqOzamyzltt46IzxFRnYUhrlzE96z+HjoRYZsRh9TILC4eNRI+31cs6GywgUmYaNZ/S0NCQg/DVfsMNN+CP//iP8fTTT+Oiiy7C4CBbfvee97yHe1/f/va3Y/9+//33M//+yle+gq985Svc+59voPhGNLqwnBMA6tQqdtzkwnuQd7vYE837v1VCaxUXoImw6Jsi+c3BB33yb1nFQVR5haXAV0eVTw4vaE+oLPoIOVamGSQyU5THRPj10KD9vSamHBw3wk8QOY6LuzbFxzbTK5bMhKjLyA6ikqiUxSbyWZXEt0qZy8ltkfdECy8xjkPWik0CejLbT5NoXUbOqgJNWMT5OwVB95+pWX/BKbKcU1F/jvLLpMepyQw90ZSRaJGeaP5nvN/afYoNWs002Md3X5BVos1UfTKCJiNFfDQbCcrZoKLMdd3W82FcGAmzXcQiBO2JljWJVil7/luuG+3tp0KJtmVbDb941i/bu/OeGWx4dLZNYU5w8Ih/gpbIeqJR5Zz7DrEn/MGnfFueKy9o9+ySQVqhwDHq+hdVohHf5rBFSAJRjzcVKHKZqYZGr0OYRPv93/99AMBf/dVftf3NMAw0u1UC1QPohXJO3hV68vDXbQoZAjJhDZYxeOSVG/uAELmtObetEk+08NeyhBRd4lPmIBLSIvtyTm+fwcA41mNKbJ9Rfj006AnLuGC4gOiKJV2a023XWZhKggdZeYRVEwzgach7ovmvw8qjwqAqNCQJjQCJRiCifukl0ApqkXJOWoFDjxdRyhxV/Zk+T/REdijBE00w8I8BEyyQhScarUSTVGQVCTLEkOxCSZTSl7UA4PdEC1ei+a9rdW/BlOwxvpzTf10EJZppGOivGJiedSODBdIq0UQU5gQH54KFTAM4foEciXb8AhNWyRvfaU+0Q8eaeG4uLfK4ERNnnqZGnWWnVE4TPzRAXIkGEN9mtNlhLBo28P4IsjJrFLXMVENjPkB4ZHOcLpU4zQNYKSbwRQF9Y4wzXCYEW7cpZAh8NVnA642jJNNXsQV94th9i7cpXMmigpCqdViJljU5EHX+2NJX0XJODiVayKSVF6IrlnaXKtGaTbelXBHxQwO8CY9pAI6rTonWaLogt02evs9MHmv8fYghwTmrc6yMlHdB0N5EfdQ8Y94q0ej7nEAlFd1/6PEiql+p8ryjzxN9X6bHqfGWEs3/e5pyTtqQfVKRJ9p4lCdaF4eoEMxIqJlkF0omIoJbRJRorLdre3tpoqzWCARWcDwbAryeaHIEkggG+uZItAQlmgHxtFBRhTngleMemFOiHbfA5FYuB1EyDSxZZGLPGw4OHHHQdFyUTAMPP1VrEZ5XnF9Wps5iPNEkrFwmUijRCMZGyzh/tY3tuxsYn3RTebypQFHLTDU05gOyv3todAxpJvBFAZvslaxEazqA04VpWmRCE65E40vnbCvn5CgFjW1ThJJFRbBAVVFiGy+yTqpttIhM9v005QZ8nmjt5VO8EF2xZEyiu2hiyQY0iN/ieHwJRSDa903DaBEVYp5otKchZzknozLN7hxHKdG6tRw/LegyM1lPtIkpJ/R9Gqo879jQGcoTLYTUV1bOSZEbUeSDKCapMXaI8UTrzgUDGvQxGuQkYmQXSljVtKQSLSlYIJDOWeMkZy2OBMdOKtEAX102M+uGpr+S9vRVDMYeggciCnOCyRk/CXyJZKgAAQkXaDSBQ8ccJlDANIDLzlVTygkEn0nEtz9GjZkLJEk0wCvtHF1h4+Kzyhhdka9hPykzjUMeZaYaGvMBUqPI5s2b8e53vxurVq3CqlWr8J73vAcPPvig6rZpCKKUIq68KKgz5ZzRn+v2h14yYQ2SMCWKHEzaNjhRJsdEluhiggXoxEmaGJIkpGqKEtt4kTU5QI5VcAWX+V7BY8WjRBsJMfLmBVmxjAO9Ysmu+gp9Va6QTeYkSEtGB8E7+aNBrhExTzT/NW85pzGnvAturxr0ZJYt5+weclYl6hHKriTQChwuJRozdqcp56TaG0iEJgQBaQ/vQlgSKmXf51VdsIC3n/6KwZCX3Vy6TsCUc0oo0UTuk1FKNEuAtI0K5yGgFxzqDZex+ojrVzQxWIu4b3XSEw3wQzIcF6jW2v9OSDSZtsh4Yh04nD5UgCDoi/b0Dj9Q4NxVNhYOq9NqpH2uo8s5oywzuhFemelg2/PdomEDN60bzKXMVENjPkB4dPve976Hd73rXRgYGMBHP/pRfPSjH0V/fz/WrFmDO++8M4s2anBCRYpi3qAn63aMxNzuUpUMgdNSooWTMI6D0BVLIFqJZraCBaK3jQOrRKPKORUQUlVFiW28sBQQf3GICndIE8IwwfGAN9RPBQsIKtFEVyy79Robp83DJVabSynJ6CBkSpnJNSLmiUaXY3NvRgWS8G8jCrq0q08r0dj7nIASzTR9lSI9rkV6oilQEQMBJVqgvWSsIuOXKtWxYRgYmvNFm1JUzul7JbK/oVtL12lMMyWKEp5oAv2DuVfR5ZwcpZQEpP8aYBPKw/ZVq7P7iy3npPpcpBKt5pdPpvHt4wVNjoX5ohFSj/e80ZDxxDp41D/ZJ0iGChAEEzof3Ko+UIDAMIxUtiXjCso5i4qx0TK+8H8vwEff14fzT34eH31fHz7/fy/QBJqGRoYQLpL+/Oc/jy9+8Yv4wz/8w9Z7H/3oR/FXf/VX+NznPocPfehDShuowY+sTLE7CSZYILacs7snYpEJmwEPm7DJcLOlRGPfJ35qLrwVT1GbC1o5RX+vCnK2855o/ussroWWkjBwDpiEXOFyTm+fphH9ME2Ta/REhhdjo2W8/YI6HtzKLoeHGeN26zWWVolmcahBRSBDKlTmPlcTKuf0X/OWc3qfBerI9p7RYDzRurNfqQSv4joMZdtoIyjySucEPNXs/sMOZmtziqG6/zmRfhiGgT4D41MupmbTX4z1httS/ATHhW4tXachY07PmPALqEIjgwUElGhN6hnICClhZDzRAuWcccQzTYhG+bLNUsov0fJJGdD38+lZNlW73vBT5mWUaDKeWAeO+NeTbDInAa1Ee+6VOrbtVB8oQIMEGSSVC4dhnCnn7B0lGoFpGli93ML2kYNYvTw/nzYNjfkC4dHz5Zdfxrvf/e6299/znvfglVdeUdIoDTkECZhuBL1CH7faKPKwVkREJWzy/C5ybttKCVPGfzcjyivSJE4SdN4TLdtrISncAfAMf0VAyJ+hgegH+4E+v/xOVInmt8t//WuX9+EPPzgUumLJ9sXumVjSx2VExhNt7gBnUc7JrUQr++WcvKpSmWABwO/DouXHIohO5+yefqUSjYi0Sx6E9aEodS89h0pzDccpxFlfNFcoiTYJJFygWks/BtEekkGFarcuGNCYpojGzJVoEUnSzD0jUYk29wwUMVYxASsNl7tMmIcYJMovURN/WdDnYyagRJuRUBDSkPHEOnjEP9lLUpZzEk80AHhhZyOTQAEaae5XRIlWMuWOtYaGhgYN4RnG8uXLsWnTprb37733XixfvlxJozTkYKVQwRQF7Ap93INSd0/E0qQ7traNUKJ524q3KbqcM72vTr6eaGr37br+ynGbp50kke26LlVqFD0sm4bRMsQW9UQjeGVPY25fwHVv7Ys0xmWvMamvygVRfj28UB4sIFHKTK4RF/zHPooET4JfzpndOFqP8ETr1vtUWtRSKdHa36uUw/sVXf6kTIkWaG8wXICQHRUFiyWDVPl62nCBOIWqrCKrSJiWSOe0JRcjmTGWOkfMPSPRE837f5RakR4r6w0EPNGi98tz3yLEVaeIFFaJxvavab/6UdqfLcoTCwCue2ulbYHswFHvWjAAHL8gnRLt+VfqCFvzk1nA4kGrnDOFEm1k0AhVP2poaGiIQFhr+4lPfAIf/ehHsXXrVlx22WUAgIcffhjf+c538LWvfU15AzX4wZZudOeDIH+wgP+62yZiruu21EDBcsAkNZnjuCDClLZS0DY/LrGHhCgli4pjrcpsmhdWhtcCe5yilWgix2q25n8+ifgZHjAxPtXExLSX9CXyMDhbdbH3De8HnLKkxJWAC3SZEo0q2RhKEyyg6DfLlDLTn6vWXa5rhu6XllA5pwHAzTZYICqds0sJi7SgCYaygCcaEN6H4girkukd/zT9uR6jnKNJ/4kpt0Uaq1SiAV6i4Mig/L7iglt6Q4kmrmgyTcAwANcVLOecG2MrNkvglgTuGb6iPvzvdkw5Z9w1Q+8v7DelLZ+UAeOJFiDRZMpwwzA2Wsb5q21s393AMzvq2PgLj53bfaC9Qx+cK+dcNGIKeTIGsWVbDXesnwr92/d+No3BfkO5J5fnyegKX6eO4y9U9pofmoaGRj4QJtF+7/d+DyeddBK+/OUv4/vf/z4A4Mwzz8Rdd92F3/iN31DeQA1+ZKm+6RR4fS9EotSLhjgSJskImk3gC5Zz+q9lzj/re+M9qLS1SXKi3fFyTjO7SRFjsh2RrgqIkXfjEUbNYSB/bzQ98q1fwLt3536/3GLl0ni5Urcm4PKknMbBL+dU0x6Zvs+UMnH6otH9Uk6Jxr+NKOixhZ50J6lVehX0PSto1J+EMHIqjrAqlQygno4kbcSkidLlfOPTTuserkJxPNgfTT6IIk6J1q0LBjRkyBiiVKw35JRowfHVNAyUTG/sTLpnNCK8XQmCYyCvX65heOEb9Ua4Eo0un+wUiTbQRykqY8o5eRWEUTBNA6MrbKxeZuGX2+o4dMzBc680cPBIs5XCOTnjtK6lNH5ojuPirk3TsZ/5/qZpnL86XOkuCz9YQOw6nZzxF6A1iaahoaECUq6P733ve/He975XdVs0UoImZJwMVQVZIu5hnQZdhtBtE7FmzGSXeZgPIWGacQQORylobLsYgi68jbJqhk4HC7BKNLX7jiubkyXvRIgf2s9nfMpBf4WfMXl1j9+o05bGD/9MiVMXTSwnp9Mp0SzFpJJMKTOrROP7HvqaF/HZImrYsPFGFejyZzYJsXv6lUqw6Zxi24apzuL6FRnL0ywmxHm40ePV0QkHpBupUKLRiqqpmXQDOZPaGxhju7V0nQYhZwyIeX3ZJWNOncXrvei20lLDFnxsC2jWku8ZrYTyiLGKCRZoBNTsCddM3G+iydiOkWhxSrQMSD3TNPD2CypYv3kGLoAHtlbxn97p+aYdpEIF0iRzbt/diA0zAIAjEy62725gdIW6lVNy/xAdz+iFypEeDBXQ0NDoPIRH0Mcffxw///nP297/+c9/jieeeEJJozTkwCrRunNyUmOCBXpTiUZPVoOrsEnlnHHbpi1JiQwWUBBYQRMBnSjnzDKpllWiRasBRY7VZIRRcxiCRt4ieGWvf4GddnL8TKTblWiD/YZUOiC5rhwXcDhN/eNQlShlpj/Hq0RjPQ352gb4Y06WSjRSVmWVgkmI2X1nkcHYFggGC4Qr0aI/75PCKco545Ro1Hh06Jg/jqnwRBui/LamVCrRAmNsLyjRCDkjmjhJrkde8nBqxm2pmYdCFnwsTpIjytuVgFnEqbts6FTCOBr3m9Ia+cuACRZoI9Gozykk9S47t9w6to88XWuNOQcUhQqMT/JdJ7yf44WvROMP3QGAY1Q7tBJNQ0NDBYRHkptvvhmvvfZa2/uvv/46br75ZiWN0pCDirK7vFGv0w/r0Q8UvaJEayNhEs4hq2IT2zaxXRGloiI+J1HotBKNIf6Ul3PSih/2b1abLx0fRJRoIwEjbxGQUIG+MnDS8fHfw5Id3TOxJMdEJlQASJ9yGwTT9yMM4IOgCYgqL4kmmc7ZmXJO7/+2ZbBKtC7qVyrBkGiCZFO4J1qcEi19eXLcwgE9XtEkmnolWloSjdMTrYsWDGgQcki0JNAnvfiOb1JwC6/xO1HORqlmSVkmEKJES+hb5NkxzBONUX5xjsdpwQQLBMo5ZQIheDAyaOLCUW9wmZpx8cttNQDqlGgjQ3xt5f0cL0qSi8VaiaahoaEawiPoc889hwsvvLDt/bGxMTz33HNKGqUhh15YTeUPFuheJVqcYqQ9HCCwbUTJpbct/R3ixyTK6yvJp40HjBpHrc9sKBjiTzGhHKtEkzxWcX49QTBG3gJKtCMTTms19rSlVqJagSY7uoWortbclupRxg8NUNPfmTZJeaLRSjS+begxX0SAR36vC8/nJguQtgWVaN1aOpcW9PUkrEQLmfjHe6J5/0/Tl1kPN/ZvtKrrDVqJpoCgoD3RVCrRRuLSObvw2cl13dbxEVVXkd/OSx7SwS3DIYqeFoGVUokG+P3a80SjvyN+33ZLiZZAonVIiRYbLEAr4xSXl77jwr7W681bPMnbwaP++VuyUF6JtnqZFZoGSmPRsIHVy6RcgyLBWHWIkGjUs5JWomloaKiA8EhSqVSwf//+tvf37t0LK/h0pdFRmKbRymPsViUa+6AUV87pv+62kiDau6jNEy0hHKLZZv7vI23ZZTOiVFSFv5iML1QayCrCeBBPgvqvRcg7MU80Sok2xf8lr+7hL+UEAtdYlxDVEzP8ZGQUVCe7VtN6otXElGhWCUKJrZ1IJiRkmWUZge/rjn6lGvUYUioJ0p5oKfpyHOk30Ge0SNvD42qVaHQ653RKTzQyxhoGMNDPtq3blWi1uu8xJkrEkN/OSx5yK9Fi9kcnlMeSaC0lmhvwRONVorX/LRdPtD4+Ek01qfemU0o4ebF3gF9+vYndBxpMOefihfJkkmka+MCagdjPvH/NgNJQAYCdF4jcP8Yn/fFjwZAm0TQ0NNJDeCS59tprccstt+DYsWOt944ePYpbb70V11xzjdLGaYijE6U5WYKerMepNliVTHdNxJgUvZiEzbAJfCOGwGGViOLtiioVZUsj5Y51tePlnP5r1YQyPRkNJuvJHit2dT8bJRrjh5aQzAl0hlxRjQnaPFxytVm2XCQKtRo9pnF6olEqHn5PNO9zIn5owc9ntfhCJjt2iVWRdEu/Ug1C1Jhm+z0gCWHjZ5y611LgeReXSGwaRivAgw40UuGJplSJNjfGDvW3e4Z1a+k6AU3MiCrRLEqJxuMxNZ6gmib3xDgyMi6hnAYZL+t1lnhOUvQSu4+m066uzSOd07b80tSZtnRO/7VqJZphGLhyzI/v3ryligNz5ZyLho3URPfYaBk3rRtsU6QtGjZw07pBjI2qLzuwJK1cRBLQNTQ0NHggLB370pe+hCuvvBKnnnoqxsbGAABbt27FiSeeiO9+97vKG6ghhlLJe+BVrb7pFLiVaDRh1GUrx/QDZFvCZoIfE5vAF9i2E+mc0sECfnKYaBqdDDINFqCT6mKITJFjJaREk/REe4VK5lyZkMwJBHwHu0WJFlOyxQvVpBJLIPNtk8YTLW5SGgZGtem4ANRPMBoRSrRu6VeqUZv73TJjYdjEl0eJ1nQ8kkREpUjAKOdC+tfwgInxKfaGpUaJRgULpPBEc123NcaGJkoyfVL6a3LDdApiiPx2r5w72U8x6V5l0QSW64baBsQllNMgijNPiUa9z+mJBnjns0JxOXmQaIBHbh6bdDE9y95Usi4vfevZFfzr5hlUa8Bjz9Ra/TtNqACNsdEyzl9tY/vuBsYnXYwMeSWcqhVoBLK2NXQ67wJdzqmhoaEAwo9wp5xyCn71q1/hH//xH/HUU0+hv78f//2//3d88IMfhC3qkKuhHJZpoAq3a8s5WU+06Jsw85DUZYQhk4IZLAcUCBYw25Ih4wm4JEQZ5pcSSkx5QNQ4ZVus1EwWtLpDtdolrhyX9dMSCRbwTrZtJRMtdCLaJKcSzXFc7NrnPT0fN2JylTOYplf65LrdoxgSISOjkORLKAqZUA05TzTv/6JKNFOxB1wQTccFuWSsUnrFbC+AkIpJZWlhCPYh04w2ZwfY/sxDkoSBPk9hxF8YMaVCcVwpe7/PcdIp0ao1/zeEKVS7X4nmPywIK9GYxZLk/kEnSYcZtDPldo1w1Rij5o4Zr8iUotEEZmt8z4be3/3X9aaLCrUwkBeJ1l+ZI9HalGjZBh30Vwy89awyHthaYwhi2/aeC1SQXaZpYHRFZ+Z/sqXXRIlWtllSVUNDQ0MWUpqQwcFB/O7v/q7qtmgoQKnlR5FvO2RR5zSP7eaJWFwpQ9IqG6NiEyTghNpFp3OmVLgBvi+UCnUCD1T4uEWhEeMPJFsK6KskzESSsWJ710a9wa9E2/NGs3UOeEo5AY/stEre93TLNZbk18MDS7kSzX/NXc5JTRK5lWiUeb8IsrxWAHai45U10ZOg7iMsVKAuea6AdlIiiawKKomlSLREJVpIiamCObVhGBjqNzA+5aZSoiUFt3Rj6ToNxpxeOFgg6DEVvz2vEo3sL2zMi0sZp0GPg1OUJ15iOWdAiUYjzbFKA1KqWa2xz1GkPX1lZKbeunKsgge21pj3ntnRwK3fPIYPrBnIpOwyK8gS3kSJNjKY/IyloaGhwQPhpfq///u/x09+8pPWvz/1qU9h4cKFuOyyy7Bz506ljdMQh1+60Z2TE14lmtXFE7HYhM2EcIDYUIKUCppmhO+NYRgttYqsUoWocTrhhwaoIf6i0IgpRZEhMh3HbSnKkvzQAO98kMkLryfaq3upUk6OUAECQhJ2S9ldUnIcD0qS5SJRqEmUMldkPNFaRt1i1xir2lR/noMKV1lPm14CmdgnKWrCEBxDkwgFVkksd37p8xQWhBBGpqga6wnRMTUrz/AmET/dWLpOI41Zvuj1SI+xQ/3xhGRUaWxcOA8NmoCjSdQkBWfc82Ge5ZytNszSJBr5e3YlhgePhF87Rydc3LF+Clu21UL/XkTIEN71hp9eK2vzoKGhoRGE8Kj9hS98Af39/QCARx99FF//+tfxxS9+EYsXL8Yf/uEfKm+ghhhKCkyE80SNNo+NmXDaXTwRYyeVQSWT/zrsHDIGz8FQgpRllzTxZgZGBtrnRAZETaNCncAD0zRAFhtVXwv8549vMjY544J8coSzBJGQbZPTbptxchhe2SMWKkDQMp3ukmtMhRKNKedU6IlWLvOXMpdlPNFIOWcaJVoG55meSFslI+Bn2X2EhQrUW55o4n00qOxJIqssBf2ZPk9B9S0QTv6rUh2ThE6vJFOuv/Ca4QPdM9bRSBUsILhoQMbYwT4jVEVmcyiF4hYDadDPgJNzJJphJCs4WVKU/Vse6ZwA0E+RZHRJJyHUsmqL47i4a9N07Ge+v2ma6zmiCJDxRKOfC0Z0MqeGhoYiCI8mr732GlatWgUAWL9+Pf7zf/7P+N3f/V3cfvvtePDBB5U3UEMMVkuJlm87ZEEeeEpmvLS9q5VoMauwSQqqOEPepGTPxHZRkfPByT5Rq8hMYhzXbZ3XTinRANZQWyXizoFpGCDdlvd7ZYgfQra58CcXcSBKNNMATj2JX4lGJuDd4hOUVLbFA9bXLm2LfE8zkb5fkfFEm7vm06VzZqtEsy2/TNj7m/KvKzxcajyUCRaolMVINBWelo0clWiD/RT5IOmLxqT2JijRurFPsiWKYgNAXOljGMgYGzW+8iiF2LTXmHJOWok2d+7LVvJiBPubwpVoVkmOxJYFTW6Sftx0jNYicFalpdt3N3B0Iv66OTLhYvvu7kjUkFGi0erJER0qoKGhoQjCo8nQ0BAOHToEALjnnntwzTXXAAD6+vowMzOjtnUawih12aQ3iHqdL7Wsuz3ReEsy27dtMNtmEywQtjKcRonGpGplYJwbBX+irrqcMzyAgUDUl1CG+GETOuN/32zNxZ43vMacckJJSCFCrsNuScAlx6Jkyq/sWynJ6CB8FSZ/e+jPiirR4ialYUg7biQhbMJMjnE3ls6lBWvSL6NEi/93EGkXV4B49S0QESygyGZpkCIXZH3RmDE2RDXX7YmxdOjCQIpyzqR7Za3uYnau8i+qXJ4NKohSovmv40h/mxoH3bld8YyjbLAA+zdConXSDw1gzwsh0RqO39CslGjjk3z9mfdzeUPm2f8YRaIt4LDM0NDQ0OCB8DroNddcg9/+7d/G2NgYXnzxRaxduxYA8Oyzz+K0005T3T4NQZRSlt3lDfLAkzS54HlQKyriTHUZ1UBCOqdosmdiu2I8lXxPNPFjLZNOqALe71CfVJu0il4ygTr4J6y0SmKIt5yTIdEcANH1LTv3NVoTkNNOFqv1I7+vWxJwyWR5aMCQNg9Wnewq4wdIJ7TWasnH3nVdRkkqAhVKpTgwSrS57mdbBmZrbtctgKgAG0wivn2wHyUr0dKTpEmBP2HqLmXlnJTvlmxCJ1POFaZEY0oQpb4iV9AeW/3C5Zy0qj/+s7TqOWrBx+YojWUSymODBeL3HwUeJVonSzmBMCWagXrTCv27SowMcarbOT+XN2SqUMZpJapWomloaCiC8Gjy13/917j00ktx8OBB/Mu//AuOP/54AMCTTz6JD37wg8obqCEGMiFyHG9i1W3g9YrheVArKlhfM/ZvSeEATDpnm4qN/g75YIEwdRVplwwhRStpOuWJBlCEcqaeaGHfK+ZLODkjo0TzOw5NwoWBCRVYKrZuYlFKtKKPJ67rtibLvN5yYVDpEeY4fumeSN+vCCrRnJjE3ySoVt4FwXiiWQElWpeQsypBT+otBZ5oSepeFf2ZHvPCSNowdZfqYAGATWgUQZLa1zT9TMpu7JO0x9agcDqn/zrptzPBLRFjLI9SiFeJFhYgwDOOMr+Jut4c18VsXiQa9X2EyOuEEm31MgsLh+P3vWjYwOplErXlOUBGiTbOlHN2B1mooaFRfAiPmgsXLsTXv/71tvc/85nPKGmQRjoETYSTDFiLBqLaiAsVANITRnkirpzTTFCFMCu4bcEC6QykSbuCoQLevqPblAS6nDMfTzS1/YNVA4aVBpHv5dtfkl9PGOhJKz1BDMOrdKiAQDIn4JuIu/CIGlHT+k5iuuq2yCRZPzQgqAZN13dk+36pZKBken2IxxMtLjE28bsUK++CCCOdPfLI7ZoyYZWoMQnU4ttX7OC/BTzRpMs5vf9bpXA/qiyVaEOUJ5oKJVpYWw3DgGV5hG839sl06Zz8SrRx6jgORXmicSiF4hYDaYT1oaRkTm+f4T5v1RpaIT75K9HAKNGyao9pGvjAmgHcsX4q8jPvXzMQ60FcJDDnlvPZn1aiLdBKNA0NDUXQo0mPIevSnKzhGy4nra6LmeEWCXEkDP1AGZaWFDdZTkr2TII/UYojhsQnMVWqHE3VxIoHvim+2v3SZbZhJtuiIQxJfj1hYJRoCZ5oJJmzrwycdJzYkM+WTQtt2nFMKCrZUOkRxqowxfo+IUd4lGj0dRlUtyaB9cwS25YHTCng3LElZYzdtgCiAg2mNFJ8PAySZsmeaCrKOeMV4hW7nRAMkn2yYMgHWU+0OSWKbUV7tdld7CdLSBmrJD7OWEwpa4ISjcO/kyc5vRGzGEgjrG/z/D56O1qJRgcwdJpEo8tsp0OUaKJediIYGy3jpnWDbYq0RcMGblo3iLFRRQaGHYCMslYr0TQ0NLJAd+h3NbjRbiLcPTcMx/F9fZJW6Hli1IsKppQhSIQlqEIYFZtgsidvu8LKK0i7ZCZh+Xmief+X8XGLA726HuqJJqhEG09QSYSh3RMtHEcmHBydMww+daklvNrMlk0XezxRkcwJpPcWpMH2fbFtyzYwXeUj0VhyXey3lxJKyNOCUaLNjdu+157yrys86imVaLRKERBTosn250ZMqT/gKbmGB0wcHve/IAtPtMmUSrThATPSK9GyAFSLv1gQhjRm+bbAgmSSog/gVKJxKmdDyzk5rpmo3zQ96/fPPJVoM3PtYJRoGQcdjI2Wcf5qG9t3NzA+6WJkyCvh7BYFGoFMFQqtRNPpnBoaGqqgSbQegwoT4bzAKBYSHsBlYq6LgrikMytBFUKf0/Zt0x0TMoGOS5xsNj3vKRHT9vw80eR93OIQF+5Av8dLSMilc/Ip0ehSTlE/NCCgRCv4dcYzweNBki+hCFIp0cpeySNPOSevx1AYLIWkYRgYTzSSzjnXFR3HWzzptolcGoQp80RRsY2WmiWpX6noz42YewPB8KCBw+Pea9NQZyUxyCjRxDuo47gtQ/y48dU7Tm7XLcoBPjkkQwwJKdE4FD18nmjxHnsEYc+BSc+GQPRvopVoRUjnrDul0L9nBdM0MLqigw9hGUCmCoWkc/ZXDCn1r4aGhkYYNCXfY1Bpit1p0Cv0Sb4XVoRxbDcgbsJbSlhli902w3ROsm8XgKjILTdPtKyCBejSOQUhDIT8GagYocq2MNB+NPTEJohX9tJ+aOKzWmZCVPDrjCXRFHmipew7afp+WaSck0m7E/qaxDEnLZh0zrlx2+7iRZC0qIccD1HQixFCnmgp0znjghCGKcVY2Q73TpNB2nTOqVm3lU4c5eMF+GNdt3miNR0XszXvtQwxJLL4xrNQwarAkpVocfe8MNUZlxLNCidaClfO2UElWq9ApgqFPCPpUk4NDQ2VkCLRGo0G7r33Xtxxxx2YmJgAAOzZsweTk5NKG6chDpWm2J1GjVEsxH/WNIxUZvd5Im7CmxQO0IjbNoXiwHXd1nEMm4RbKXx10qhx0qCVVOt6qVyq0EiYAIj2S/KAx+uHRr6XrFzHKtFSJHMCgclIwa8zJjkulSea/zptKAVdzpmUohgEIUccJ3mywJLrguWcKQNJktAIU6IxCsfuuk+lRZ0iVmVVEZUyS1jFQUV/Jv3PjlOiUaRKRbCvx2GwjwoWkPBE4w1uIeei2/rjLK2uklGiMb6X6T3RWBVY+H4aCWpugtBgAY5nCJZEK4gnWsVomSEQJVqnPNF6CaIVF9WaTzLrUk4NDQ2VEJ5V7dy5E9dffz127dqFarWKa665BsPDw/iLv/gLVKtVfPOb38yinRqcUGmKHQfHcZV7KzBKNE7JfrNWfIVMEHET3qRwgNhtUyjR6LlVXImizL5pEk3l5CoJQeLPVFS8zpJo7X8n59CdI+/MGEVGtea0HvBKplhp29CA55l1dMLBtl115hp0HBcv7qrj5dc9BmPhELBgSPwBspMpuGnGFMdx8dp+/8QM9sm3Q6QkPqnNMzX/YpmYagqdX9vyj/ezr9Rx7ul25LZJfTIOaQNJkhCmvGJ9k5L3kcX9RgVk2sUeD7nfQKsxjow7sf1KxTNBg0OJNjTA/ltVmW6lDBiGN54eONIMHevizsGxKf9H1xtuZLtaSjQJy4IwxLUrqc0i/YpO5pTyRGN8L+N/zxtHvfHMMJIDGoBoQjIuoZyGPInmv2Y90fIj0UzDQF/FwEzVbZF5dUcr0UQh+kwyThG/C7QSTUNDQyGEp5Uf+9jH8Ja3vAVPPfUUjj/++Nb7733ve/E7v/M7Qvv6xje+gW984xt49dVXAQBnn302Pv3pT+OGG26I3OYHP/gB/uRP/gSvvvoqVq9ejb/4i7/A2rVrRX9Gz0KlKXYUtmyr4a5N0zg64d/AFg57MdppUn5EDZetkoEq3MIrZIKIW4VNCgeIM+RNQ3gklVe0q9z4H0ZqeXmi0ceyKV86FQSrJAxTovGRd1u21fBPG6db/97zhoNbv3mM6zrasq2GQ+NzD+JN4Cv/NNm6BgG0XZ9Ts942otcns+qbYZlTmjElbNtv/usUPniN3HiU5EvI2+Yt22r43t0zrb89/Ks6nn2F//y+tNu/KL/xL1Oxx4PXYygMaQNJkhCm3LQFlGhZ3W/SQrZdjDJPYkzasq2GvYf8jnnPL6r4xfO1yO9N63nXdNzWIksUQbtlWw0PPVVr/fvYpMs9liVh64u+dO/wuJs41rVfg/4Y++QLdex4PbxdFr344YiXRdOI6xs8bRbpV9O0uqovm4WSYJtcF7jtjvHY4whE3zPiEspphN2zee7jUSWleXqike+cqbq+Eq2plWiiEH0mUZXaraGhoRGE8Ijy4IMP4rbbbkO5zN44TzvtNLz++utC+1q2bBn+/M//HE8++SSeeOIJXH311fiN3/gNPPvss6Gff+SRR/DBD34Qv/Vbv4UtW7Zg3bp1WLduHZ555hnRn9GzyDppbcu2Gu5YP8U84AHA0QkXd6yfwpZttYgtk8EYLnOs0NstD5NuU6JFe2olSdXZbYNKNHnFQZIxOeubJLbvas6eaIBaciBJ9cPjS0iuIzo1CuC7jsi2wX2TbcOuz3oDUtcns6KfkRItzZgSte34lPx4xOMRltTmf/mPadyxfqrNw0nkNwVNk+O2Zcl1sWss65AWNs127v+cSrQs7zdpkKZd7GKR2LlKuvbDvjet510j4b5M2jRT5W8TL8i+g9X4cWOd7DWoqnQ9qW/wtFmkX6VVoiWREqJ93WpLdG4H/bwRp5wNT+cUVKJR5zLPck7AJ8qmZ124rssEC/RpEo0LDEnLsShwbEor0TQ0NLKBMInmOA6aITPD3bt3Y3h4WGhf7373u7F27VqsXr0ab37zm/H5z38eQ0NDeOyxx0I//7WvfQ3XX389PvnJT+LMM8/E5z73OVx44YX4+te/LvozehaWQlPsIBzHxV2bpmM/8/1N03AkCYsaEyyQ/HnysNZtnmiNmFXYJCVhrIqNU0ET3qYkdRW9b7HzW6tR5Zwd9UTLhhygyenQcs6EY5XmOuLZVma/UchaiZb1sZAZj5I8wni+997Hq7F/V/2b0qRzZq1epiexhKjgUb9kfb+RRdp20fe5OI8xVd+b1vOuETPeZXmO0o51otegitL1TrcZCJBoEkRM3EKJzPllVabh2yQ9bxCEKdf5rD4oQpRSwudOos2RnE3H8wCuzynR+sriXpbzFewzCUc5J7VQqT3RNDQ0VEK4mODaa6/FV7/6VXzrW98C4CUwTU5O4k//9E9TlVU2m0384Ac/wNTUFC699NLQzzz66KP4+Mc/zrx33XXXYf369ZH7rVarqFb9B5PxcS+DvV6vo047/HYxyO+o1+sw4D8lV2sN5gEiLba/1mhbjQziyISLF16dxerl4nUqM7P+LN00nMTzY5lEEu921bms16mZjMueI9d1qM81235XnWKD3OC2DrVtI/n40ahW/W2NuWNP9yvT8L9nttpgf0MCZqp+m01DbZ+Mg2nQ10Id9bqaB6ga9dtdp/1YsMeqjrLFfm+a64hnW5n9RsEwguOJ9Fe3QPerrI+FzHjkuv44FHYN8nxvUo6F6t9UrfptNjjGThb+9Vmrtf/etKjVqJm06/WhEnWNzMyGjwmix4LuV1kibb+r1ujxkP94y39vuvM7M+uPASWDvddm+UyQdqwTvQZNkxq3Z+uozI3bIv2q020GgIkp/9qv2KLXPgCX7h+OgvPr768a0d9qNLvmRvdJA+3fXTKT+zDzHFz3f9PUjP++XWp27FmEoFL2v298st4KFuivGF31DJsrqGfkWj25vx8Z9/8+0CdxfXQZOnUf1Jg/mI99ive3CjMdX/7yl3HdddfhrLPOwuzsLD70oQ9h+/btWLx4Mf7pn/5JuKFPP/00Lr30UszOzmJoaAj/+q//irPOOiv0s/v27cOJJ57IvHfiiSdi3759kfu//fbb8ZnPfKbt/XvuuQcDAwMhW3QvNm7ciFcPngZgBQDgkUd/jhcHjyrb/57xEwCcmfi5zQ9vwfaRg8L73zdxPICzAQA7dmzDhqO7Yz8/PTUGYBjVmoMNGzYIf19eeHXvagBLAQCPPPIQnumbav2t2rABeCTynr37sWHDc9HbPvwghiv+KvFsvQzgbQCA11/f17ZtHKZrFQBvBQAc3L8XGza80Prbxo0bsWfvmwGcBAD4j/sfYL43Ca/uOQPAkrk2b8ZgeZZ72zTYv9//3ns33a/se/fuOxuA5wf5H/9xL8olVqJ14MCZAE4AAGy89z/Qb7PqgjTXEe+2ovuNwiuHTwHwJgDALx7/JV7b9kaq76axcePGjhwL0fHo8PQIgAsAANtfehkbxl+R+l6Zdsn+poOTiwCcCwB4ZcdL2DC+k7sd9Lbbtm2Hc5h/Wx5s3386gGUAgMd/8RheemYcuw6sBLAcAPDQw4/iuYHxtu1kj8XGjRtVNDsSafvdjjeWA1gJAHhq65PYt+Nwpt+755i/3a+efhbjr+/h+j6C6VofgEsAAAcPsPeGLJ8JVF1ncaDbdfCAf7/YeO/9GAjcL3j6VafbDAAvH1oG4HQAwPPPbsHR18TG6GOzgwAuAgDseGUnNsy81PqbzPk9NjME4EJvfztexYapHW2f33HIvwa2bnkSe186FLrfhmMCuIJ57/nnnsbknv2x7ZlthD8Lvfb6OQCOAwA8uHkj7FJnyxgOH/Sfo+67/xHUm2MAgEZtAhs2bO5oW7oVM3X/WXX363uxYcPzsZ9/dt8qACcDAH615RHsfH4y4xYWA1nfBzXmH+ZTn5qe5pvjCpNoy5Ytw1NPPYV//ud/xq9+9StMTk7it37rt/Bf/+t/RX9/v3BDR0dHsXXrVhw7dgw//OEP8eEPfxibN2+OJNJEccsttzDqtfHxcSxfvhzXXnstRkZGlHxH3qjX69i4cSOuueYa4HEHOw55DOpb3nIJzlqpyE0d3qrkUz9IJiLecfmYlBLtiefr2PK6Rzice/YZuOrC82I///w/TWN8rwMXJq6/4YbYFMQi4fDPZvHaMY94ueodb8dJx/tKpakZF/e95JFqixefiLVrT2O2PXT3LHbPbfvOq67EkkX+thPTLv5jh7ftCUvat43DgSMONr/sDRrLlp2MtTeczvSr8c1NvP4r73svv/ztWLaEvw5p97/NYO+497B63TVXdUxSf+juWex9zmvz26+8Cicdp+Z7X/7hDA7OJb7dcN01bYmjBzfMYt8L3vde+Y534oSF7Uo02euId1vR/Ubhga01vHCf53lz7nljuOSs9MkQdL96dZ+R+bEQHY9e3dvEz3d5gQCnnno61r6TnUSqOAdR7ZL9Tc+83MATu73tzjhjNa5769nc7XhxVwNP/NDbduXpq7D27fzb8mBi0yxePTJ3Pbz9Uiw/sQTn4Spe+fncferit+GMU9vPj+ixoPuVbWeXYJK23/3k4SpefMP77W9761tw5ml8fVP2e7e82MBTP/a2Gz3jLKx5ywVc30ew77B/b1i+/GSsvf701G3igarrLA50uw7/bBZ7n/X66RVvv6p1XxbpV51uMwD8+0NVbDvo9afLL70w9FqKw75DDh551Tu/J5+yAmuve3PrbzLnd8/BJh75rjd+nrLsVKy9drTt8z99tIYXD3r3lUsuuQhnRzynOo6LjS9OMe+95cLzcNEZ8edhetbFf8w9Rx1HPUc9d+c03phyYAB4969f2/FnxtnNVex+0jtX55x/KR56xXu9ZPGIDkjjxMS0g/t3eP118QknYe3albGf3/1vM3jtqPe8tvbaK6RSyrsJnboPaswfzMc+RaoWkyDFsFiWhf/23/6bzKZtKJfLWLVqFQDgoosuwuOPP46vfe1ruOOOO9o+e9JJJ2H/fnYFav/+/TjppJMi91+pVFCpVNret2275zqDbdsolxsA5mSIRknpbzzjNAsLh6ux8v5FwwbOOK1PKtreoWTafRUrse22ZQJzsn3TtIVNmvOC4/pGvJWKBZsyEemjvEUc12g7Bo7rq5oqZXbb/j5qW6d92zgYhr8ia1sms61t23O+Kd4EwzAt2AJRl/WG/xA+2F+G3SFfNNvyj7NhlITaHAfH9X9PX5/dFvBAf69psucISHcd8WwbB9Hrs1J2AHi/x4Xa8cS27cyPhcx4RJOiDsy238zzvYYRX5ql/jdRnkS22HmqVAwAs3N7af+9aeE4/vXQV7Fh2yVUqPtUVL+SPRZZ39vT9rum65cJ9Pcl3+fSfm+ZKiGTeSYwDLpckO0fWT4TpB3rRK/Bsk0Z5IfcL3j6VafbDABVquxkZMgWvs/19fn3/uBzg8z57eszAXgkmuOGjycuqD5Vjr8GrNIU42nKc830U+Nho+n/ptka+U6gEghH6wSG+v1xb3zaJ3MG+9XeW3sZ3nOuR6LxPOdOTnt90QCwaKQsHLzTrejFOa5GvphPfYr3dwpT8v/+7/8e+t+PfvQjbNy4Ea+88kryTmLgOA7jYUbj0ksvxaZNm5j3Nm7cGOmhNh+R1kQ4DqbpR7RH4f1rBqQINCBguMwVY+6/rndRQidrTB8IFkgIB4hL4UtjEE4b4JcSEidFTfprlO9ImFFwVqCPrcprgTazDTNxTzKoTnMd8Wwrs98oMKbTGVxjWR8LmfEoKeGY53vfdXH7wg1Pu2R/E5N2V7BgASbNdq4/8SSCZn2/kUXadommUKf9Xja1WfwapttrBdqb5TlKO9aJXoM21SeDybi86HSbAdazTiZYIO5alDm/TMppxD0jLqE8iGCQAF+wgP+avl+TYIGBvnzUSHR66qFj/nnLI+SgW0Hfr3hSdI/NBQsMDRjzhkDT0NDoDISlGevWrYNhGHADy2XkPcMwcMUVV2D9+vVYtGhR7L5uueUW3HDDDVixYgUmJiZw55134v7778fPfvYzAMCNN96IU045BbfffjsA4GMf+xje8Y534Mtf/jJ+7dd+Df/8z/+MJ554ohVyoBEgYTKwexgbLeOmdcDfb5hqreoB3mrk+9cMYGxUfnVPdHLBRqlLf23HEZekx56/9gdQ3m1F08WYia7idM5qnewXHZ3wMm1W2D9IrHrJ9Ma9IEwO8o5cR3/3kynUKP9KnuuIbHvXpmlGIUC2BaL/Jnp98pAdaUF+z/funsbUrFibybb/dM80xqfT/16Aj1Qi33vnPdOYiPje00+2pM6DzPFg0+6SfyONpDEnLeiJNOlPvKQ8ORb/+LNpTM74+1kwZOC/vCvd/SYNSLv+9t+nmD7Cc37rzGKR2HiYdO2Hfa+V8pkgLp1Ttk28SDvWiVyDDPGS4joYGy3j+JEZHBpnBw+RNv/TxmkmVTDuWDLpnH3i99ekhRJyDr7zk6nWvTyuTTzXdlxCeVz7vH8n/0bTMGCVvO+hiRZCouVFWtHn5/B4vkmh3Qr6Ok26X7mui4lp7zocHtDHWENDQy2ESbSNGzfi//l//h98/vOfxyWXeGazv/jFL/Anf/InuO2227BgwQLcdNNN+KM/+iN8+9vfjt3XgQMHcOONN2Lv3r1YsGABzjvvPPzsZz/zvL0A7V58KQAAyItJREFU7Nq1C6bpz2guu+wy3Hnnnbjttttw6623YvXq1Vi/fj3OOecc0Z/Rs0hDdvBibLSMV/c18LPHPMXgaSeZ+NT/NZKaIKEf4LhWG1Ooo/JEM2bCaxoGTANwXJ+sido2OKGhD7+4Es1/HaauYtU5YvsmSrRKh8o4CVhVn7prgZwDK2L0tDjJu7HRMp54voont3ns8f949wDeckaZ6zoaGy3j/NU2tu9uYHzSxciQgdXLrNa2cX8TQZKqThXGRss4NN7ED+/zS2X/9LdG0FdJVgyMjZYxMmjgL//RMww+f7WNm9YNSo9HFiepNDZaxlC/gS//k/e9F77Zxm//hv+9Seco6TeZJeAb/+L5+lx6jo3/64bo38Rev2K/2zKzJUrpfZIJMY9ahWBstIxSCfjf/+J7I938nwax4qR8ywrGRstYevwMdh/0Dv47LyzjfRyqK3bBQu57RfoVPZ43JMZBZnErQsmRpq8nIc1YJ9IuVQsGk9NOi0BbssjEu6/oF27z2adb+OhfHQMAnHiciT/9rejnq+lqOjKG53ePjZbx+PNV/JLjXsVzz2DGKy4lmria3bYML7l9bnypN9xWX86PRPMvRlqJJqMgnK8wDQOmCThO8nU6W/PHr0558WpoaMwfCJNoH/vYx/Ctb30Ll112Weu9NWvWoK+vD7/7u7+LZ599Fl/96lfxP/7H/0jcVxLJdv/997e99773vQ/ve9/7RJs9b9AJ5QgA0OmvlmUqeVhmlWjJnxeZiBUJSauwpRLgNMIJmEbMZNmgVl9FiS6W2EtSoontuzpHonWylBNgf4fKa4GsbFtRk1YB8q7W8Pdxxqm20HVkmgZGV4Qf1Li/iYC9xlLvLhZTM+y/Rc4Z/dmTjks3HpUESCVa5XDS8aW2701zHvopb7bhwfjfxJZ5i31PUgl5WjRCytdFF0CCfW+qMwG/iahR7Vo43H7+w5BGiUYg0q+sFAsgQOD8xdyXVY05ovtO+l7edqkqXX/xNb9TnL/axsVntavHktpUtk0sGjZwZMLF1Iwb26+IEq2vLKf0tjmvxUlqfD5/VfRiD889g3neSOA2yoFrJPjvKNgWMFP12zCTkmxUAfp7GSWahIJwPsMuAVUneWHv2KR/Q+v1QAENDY3OQ3hU2bFjR2iq5cjICF5++WUAwOrVq/HGG2Ix2xpqkLW/DUGV8rmiPa/SgPFE4/Au6FolGu1fFDLhJecwtJwzQcXQ2lZQcZCkRGPJWbF956VE41WEiYLsK4qsEFH20NdOp48PDzqlRAPQKrsgqAqMK1XGdy/dcRQhlRi/v7La80f3B7qMKgysx5CoBxy1n0zKOf3XpD8x4wkHYRG8x9AltHmC7ne8/VV0sSgtWCWa+Pbs+SveGKUKqhYgt+30D1gaUnHxQu9imZxxMVuL7ltpfb5M0zNdB+LJw4kpr/OUbbQlUtPgsZVoJiwk0gguvvGO7+R8kt9Ek2gyZa8qQH/vsUmqPVqJJoTWuU24Tsen/AFvZFAfYw0NDbUQvutedNFF+OQnP4mDBw+23jt48CA+9alP4eKLLwYAbN++HcuXL1fXSg1upCE7RFCTmDwkgVmh53j2ZDzRukiJlrQKSxRUocEC1GTZjNlWdBKQ5Hsj6y/mum6LAFBNMiSBeZhXWM5JjlXUhFLEl5C+dooYesOSHdl+V5AYSSKOaNC+cmnJSBFSqcqQoKm+tg30ZLEWM4kGgupWse/JMowGCB9bWP+p5H0E7zETUxmuEAmA7ne8i0kqlGgioPuzI/FMQJ+/TpB+eUHVgsG2nV6nME1g1TL5A3b8gvDSPxqu67aUaLLEkGEYresx7lok4/PwQPwAYxpGawyK9ERLWEik0a5Ei/988HNhJFpfXuWc1PfSPUwr0cTQ6q8Jz/20r2BSv9XQ0NAQhfCo8u1vfxuvvPIKli1bhlWrVmHVqlVYtmwZXn31Vfzt3/4tAGBychK33Xab8sZqJMPMSH0TRFVi8pAEesWbR7LPpHN2oRLNMMLLL8hDZdiDfEsFFWFq7yvR5Nrk7SO8xNT/LP/5bjQBkkHScU80JpVO3X7JvqIe/pky0qRyTqrU1Qw5n3mDJjvqWSvRAsSIyLhSVagIswRIJZpESauAC4JWYCQtVIh4DAWRtaK3QV0vZMxikxB5lGjsv7tbidZZUkqkPDkMjXmoRJMtXT864WDfYe9iPG1pKRVZs5gi0d44Gn7i6g3/nKYpUbRbi2/hfdhxvLJSgM+g3QoQWEEk2UfQkEnnBHyCmhwfRolWgGAB5n2tRBOCxblYfHTS/8D0rAMnI59oDQ2N+QnhR7jR0VE899xzuOeee/Diiy+23rvmmmtaIQDr1q1T2kgNfliSZIcoWCWamn2KTi66VolGpTuGwZv0uBFKtLnPRJUSzr0vWpaV5KkkGyzAltkJNSk1GAWGQuGKr0SL+F4BIptcO0Us5QRYsiNzJdoM22dFFK41hYqwkgCpxPRvxaoiuk8kEYqsulWwnDPjMBoyrtPXS2ol2nT+SrRG02XGlSDRFwWy4GMa4udKBmk97+rzRIlmK0jn3LbL7wRnpPSHo5Vob0Qo0dImcxJYFoBqNHk4OeO2lFM8ih67ZKAKN/LaTrKPYPYV6HNxvnxhn2s0AYdS7AH5eaLZFlq+tTS0Ek0M/nNu9Ge2bKvhRw/55pl3P1bFY8/W8IGUicEaGhoaBFKPRKZp4vrrr8f111+vuj0aKZGV+iaILDzRWK+Y3lWiJZIwMQ8IrW0jk9iiCbg40JPnUE80Sa89lWV2osiqtJk8AEetoFsCk1ZfiVbMh2hLwcSSF+1KNP5tqwoVYSKkEkPeKX4uL4t4oqVIfExrPJ8Ecr3QY7rotVlET7QgscdL+pIFn04RUmnHQTZNtJjjlAqoKF1/cZe/4ZtPTXeCFy+kyjmPRpBoitRV3m93I/sHfb1xKdGImp5LiRa/L3octC1+xbZtsedztgDBAoZhYKDPYMoMAa1EE4XviRbev7Zsq+GO9VNt7x+dcHHH+inctA6aSNPQ0EgNqbv81NQUNm/ejF27dqFWqzF/++hHP6qkYRpyEJnApwE9wW00vclm2lV1eqLEQ6KJmlMXBb4SLYoII58LKedMUKLFEXCxbUqYKPGYBYehSnk5dZooyiJkw3V9gjJaiUaTEnyeWqr9tFSBKXHKMu234WKWvZUwfScJtGdYWrLWMAyYpqde5FUSAur7t215ht8ukhcqGgkkeByyDqMJWzRgkxCT9xEkEYugRAs8+iT61rU+N/d7O+GHBqQ/v/S9VZSg7SaoKF0noQJWCTj95HQk2vEL/IMdpUSbodVVKdRMdstjKvzv9PU2PJg8wHhVAm7kPYMhZpOCBSz6Nf9vZBZZGy5DOOZFopHvDpJoWokmBt/ypP1vjuPirk3Tsdt/f9M0zl8tloauoaGhEYTwXX7Lli1Yu3YtpqenMTU1heOOOw5vvPEGBgYGsGTJEk2i5QxZskMUwVX3Wh3or6TbJ13OyWMeK1oSVBQkpjvG+D0QUia6FNT7v6iRfiOhvELWfDzP9MkskiXZZNV4EtT73uh9Oa7bIqOLqkRjSpwyJKrDlEXSnmgKjqVVAmqOWDqn6v5tGAbKZaBa4/BES6EWYn001Z9jMjG3tBINgH+f65QSLW1ZO02EdIr4ywNpS9ffONpskV1vOsVKPQ4tHPIM+ptOdLAATQwNpinnTFD2TDAG7fxVApHpnAIejvRxFLGEsKnt6o1ipHMC4aqzPEm9bgR5tnPd9gX87bsbODoRPxYfmXCxfXcjVXquhoaGhnCwwB/+4R/i3e9+N44cOYL+/n489thj2LlzJy666CJ86UtfyqKNGgLIOmmNIDipEVGNRIHxiuGYCDLm1BmXmqkEUZglEWHxnmhRpYRzyZ7CSrT48gqRxEkauXqiZXAt0JOryPPH6UtYz7HUlRcs2ZHd94Qpi/LyRAP8vpNE8GSttCT9Iqm0NYkEj4NBp+llcM8gYzOtDBENMwjeXwqhRAtZSOJBGKmYJdhggbTlnCpaVEykLV3fRpVyjqYs5QS80KHj5nzRDh1rwnXb2zQ9618HaYgYi1KihX0Po0TjChYwWvsLQ1JCOQ1afSYyxrJ2Hy5DouVJWgUJvIrdGW/EXoIVKNWlMT7Jd+3yfk5DQ0MjCsIk2tatW/GJT3wCpmmiVCqhWq1i+fLl+OIXv4hbb701izZqCECW7BCF7Cp8HOpz+7A5J8FZp8plBT+tLkLJRK2yBdOE6KS70G0pAi7sYTgKTLBAaGIoTUiJKIT81x1P58zgWqAVfnzlnNH7Uq2eygJ2h66xian2PiXiiVajk30VKdEAUSVa6q9tA/ktSeOrI+AxFAbZQBIehJFGtKKJL50zuGijzotTFtJKtBBSMUuktXhgyzmLOU6pgJ2ydJ2UcgJQpnAhCZ2zNWBqNoxEU6OuIr/dRbhakfVE4yjnpMZPJ+Q5JCmhnAa9+CZUzsmMMSgMiRYs3dQqNHHEVRmMDPEdT97PaWhoaERBmESzbbuVwrlkyRLs2rULALBgwQK89tpralunIQxZskMEruu2+8GoINGIVwzng7olOBErCpJLMqMVVIkqNurYiZTusGWKYW3yX4uQKbUciaIsUgeZsrmIB3reSWvWBIwKmKY30QGyvcbSKtFUE5KkxDHZ085/na0SLcETLYEETwLZRrV6uem4IJeelUaJFkKo5q1GC5K8PP3Vdd2WAtXu0HjIjt3i1zBbzqmgQQWFlaJ03XXdVjJnxQZOW6qGIV1MJXSGhQuoKlG0GNVW+99FlWhBU/8gknxFo/Yl0v+Cz4dFSOcEgIE+9uFNk2jiiFPIr15mYeFw/DFdNGxg9bIeHsw0NDQ6AmESbWxsDI8//jgA4B3veAc+/elP4x//8R/xB3/wBzjnnHOUN1BDDLJkhwjqDSD4iJmUHseDmqBXTKdUMqqRXJLpvw7+Lt9PLV7FFrZtHBqMkiU+WEBkok1PLCvlTnuiqS9FpI+TxVHOGTdprWVMwKiAYRixJr6qkNYTjQ0WSN+eVll0jp5ogK/CqDfaVak0kkjwJMgGkiShEZG4zE6yxZVoQP6+aGG+oEloOv69k3exKC1M02gR4VqJFo0094v9hx0cmysPW7XM4rKj4MHxC+PDBVglmvDjfAtJ16OsEg0Ivwc2EhYSmX0FAh/ixkEa5UB4SVE90fr7cmpIFyOuf5mmgQ+sGYjd/v1rBnSogIaGRmoI33W/8IUvYOnSpQCAz3/+81i0aBF+7/d+DwcPHsS3vvUt5Q3UEIMs2SGCsAmNCiUamXDxEgqW4ESsKEgKFohSULmu628bceVakuqrZoKnkkjiJI081VZZpA4yip/IYAE+L7ZuKOcE/Ml+lkElKpVoKsislkdYYjqn/728ZegioH9LHEmTRIInwf+9as8xQzpHKNF4SufC+kLeJFpbiSlHf60zpKLqFkWjVeYvQZIynmg9LN6wBfskDdYPTd1AQCvRkki0VJ5oSUq0Kf+7h3g80ejS2BglWtJYtWVbDf/2wGzr36/td3DrN49hy7ZazFZzbQg8HxISzSrlG5ARJPDCggY04pFEeI+NlrHuHe3s5KJhAzetG8TYaDnL5mloaMwTCD0Sua6LJUuWtBRnS5Yswd13351JwzTkIEt2iCBssqDCE81XonGSaCkeevOC41LlTRwlmfSkx3F9FUO0n5rcanpSsICsr07W5W5xYD3R1FwLPCbbvF5s3VDOCcxNnKvhkyFVCFei8W9PPlsy5UikIHxPn/h+Q85h2QZMQ33/pq+Zat1FX8SEK4kET4I3nrjKF17Y68WgXlOfkVWiTeVbzhlUXzuORxrGqbXokuhOTuStkncuZMZBps29rERLsSi3baffGVSEChAcz5Rztt9MpjMo5wwj0sn4PNBncKkR7YSQhqTFQMAj0O5YP9X2/tEJF3esn8JN6xBLhgRJUUKi5V0+Gfz+vg4r9HsBPHYAp5zgd8KxN9u46qIKVi+ztAJNQ0NDGYQet13XxapVq7T3WYGR1kSYB2Glm2mVaI7rtm6G3OWcXahEa3IpmajPU+eQNf8P37+s+oqdhIeUc0r66rBldp32ROMz+BdBk1HWRJXj8vkSdosSzeqEEi2EEJFRoqnqYy2PsEQlGpR+bxA0uRo3xiaR4EnIqpyTJWD890XLhMM90XIu5wxJpE7qs3klXbbSZmXKOeehEk1kAcpx3ZYSbaBiYPkSdSf2+AQl2gxdzplKiRavHCNKYR4/tOD+wo4luS9G3UMdx8Vdm6Zjv+P7m6ZjSzvp58Na3W0dq7xJtCDZmXd7uhE8hDetbh891cLoClsTaBoaGkohRKKZponVq1fj0KFDWbVHIyXSmgjzIGwyl9YTLco7Jw7dmM7JRYQxSjT/WPOoTWTVV0mTO1lCiiWK+LdTAcabLJNyzojvpYnMWCWa/7rTBKMICKkdZhCtCqFKtBCSIgpVShGmAjSpFJdy6yvRsjl/QSVaFJJI8CT4qb6qyzn918EgDjLOyKRzAkUIFgjrs/zbdJI4T0OSNjgWDnoBLJHEfx3sOdjE1Iz3+dUr1CpdhgeM1ph2KKycc05dZZrpxr445Vit7mK2RtrDN2VIejZrJCjRtu9u4OhE/Dk4MuFi++7om5LNeKK5mKkVk0Qb0J5owuApvZ4U9PHT0NDQEIXwyPLnf/7n+OQnP4lnnnkmi/ZopERUKaBKhE3mRCa8YWDLXPi2Yco5u0WJRk1So0gYiyFCqW05fI94/bhi2xXmiSapcMzaeD0OVgQZmQZRHk80eMk7hmAscEkHOY71DniiDfbzkUZBEEJSVXgFuQZcAHG8kq+AU/K1beD3RPNfywULELWh+LZxoK8XO9AusliS9J1Nx1cp0/0jdyWahK1B3PHIEmlIUlqZ1En1XKfBpHMKXAfbdlJ+aCvUSvUMw2j5oh065sAJEPrEE22wz4CRopycUY4FeKnJGZqMEPerDXs2ayWUR/Sn8Um+fhr3OXoxdnLaBTl0RSPR8m5PN4JVOiYr0Xh8/DQ0NDREIXzHv/HGGzE9PY3zzz8f5XIZ/f39zN8PHz6srHEa4sjCTD2IsMlcWk+0GvXgVuZUojHlnF2iRGOUTBEr1ixh5R9XHhWUrDovqcxUVuGWqydaxsECVtT54/Ql7CpPNHiTK9d1U03WwuC6bosQWThkYrbaRNMR80SrKlaEWYHFiDBi2XHdVhszU6KV+UjFJBI8CT7JovYcMwRMlBItYTyh+8HiBSamZryLMH8lWth78b8l7nhkiZbnXWolmro2FQ0lE/COktiCQVahAgTHLyhhzxsOGk2PNFo47PcbVSWKwQRMGnSp/fAg3+CSVBrbChaIuIeODPH9nrjP0Yux49RYkTdp1ZbOqUk0YbCemuGfYZRo/VqJpqGhoR7CJNpXv/rVDJqhoQpZmKkHEeYFk9YTTcZwOckMt4igyZxoJVO4mpCeKEeGEmSUzkkTRiKlkXkq0bK4FpjzFzF68voS5kkwioCYibvwzNNlPLfiMFvzJ1rDAwaOjBuYrrrcxHyj6cKZO87qPNH811HnsN6BclyaXI0l0eaOn2FAqpyMJg1VnuM4AoYQO4kJqNT9ZuGwidcONOE43alEk1Fcq0Ca9FVyfqwSlBPoRYJhGLAsj+jkKV13HBfbdtXx/CveQDDUD5y8WP1kffFC1hdt4bD3b8f1EyfThAoAbGBE8LdPMGVx4kq0MM+qJtWnwrB6mYWFw0ZsSeeiYQOrl0VfRPSYNj6lJoBBBfoD3390woHjuNqvSwDMs3/Ecy6toNRKNA0NjSwg/Bj34Q9/OIt2aCiCaRgwDa8ESZUPVBBZeKLVGU80vm2SzHCLCKYkUzAcoJGgFgu+L6I6SFIb8CZOBsGWLPJvpwL0KrcqpSI9IeAKhohTouUYuiACtmxaPYlGK4qGB02U7Samq/zq1ix899p9CdvPTyeCIcqc5Zy+skPue4JjjqpzzIzrgevF99qLP8/VABE/PGDg2KSbezpnqCdawn2wLuH9qQKkP8socgnx18sqNAKrZKDecBPJxi3barhr0zRD8lTrwNYX67GJkTJgEjqPNbFqjjiarbqttO40oQJAsJQ1oESjx2dOMiLOs4pOKI8ar0zTwAfWDISmcxK8f81ALPHEKNEmi6NEo5NcAeCnj9Xx6LPH8IE1A8r7Tq8irvyYgPRbA8BQf3GfrzQ0NLoXUo/cO3bswG233YYPfvCDOHDgAADgpz/9KZ599lmljdOQQ1ZJawShnmhpyzmp7XknF0kx6kUEo/iKTHf0XzdEgwUySueU9RfL0zw/i6Ratpwz/DOlhGQygm5J52TLptVfZxOUSmB4wGj5mvGWc9Jm7sqUaBxl0Z0ox6V/T5gCmICcF1mio5SRqpch5wOLI77XXvw+gsd5ZM4kemLajQ19yBrplWjdEizg/b+T7c0L5JkiblFuy7Ya7lg/1aaSqjeAO9ZPYcu2hHQJQSymEzqP+jeyaTqZM6W6Ki5Nc0LCoD1OicaTUA4AY6Nl3LRukClfBTwF2k3rBhMJJ7q/HqPuMXmSaFu21fA3/9aeOnp0ws2k7/Qq4khfAlLOOdBvaJWfhoZGJhBWom3evBk33HADLr/8cjzwwAP4/Oc/jyVLluCpp57Ct7/9bfzwhz/Mop0aAiiZQB3ZlXNm4YnGGC5LKNG6xxONR4kWHg7ABguEb8tjuBoG+sE2PJ2T+qwAIUX6hWl2PtmNVxEmAqakNmJSyXususYTjSMJKw2CSgdCKMop0bIo5wxvRyfKcdlggThPNO//Msmcwe1UemmypvThnmiOg9hypuBxJqU5TQeYqbq5lWel9UTrZLAAIfwd11MCmQJlmWkJ2m6CX2Icfh4dx8Vdm9pJEBrf3zSN81fbyibudDknndBJkjmB9hJBUQSTLGnQ4/PIoIzVBvs3noRygrHRMs5fbWP77gbGJ12MDHklnDzHlibRJgrgiZZH3+lV8Dz7T8x453xYq9A0NDQygrAS7Y//+I/xv/7X/8LGjRtRpuqzrr76ajz22GNKG6chhzSlGzwIV6Kl2ye9PW+wALMa1TXpnP7rKFIp6gGUZ1uWOBJoV0Lyp6xShUwq8yhXZEryOqhEszi92LrFEy1r78Gg0qE8d107Dt/3ZUFGWhx9h/nejNJVy4KeaLJlmLKBJEmIWxzhDYapBUhSWg2Tpy9auBItfps6czw6X84JiKvRSLlUJ4MQ8gK5DqL64/bdjVifLgA4MuFi+251/hLHL/AvzjeORSnR0nmx8SrRhjgN2m3GaiOgRKMXojjGK9M0MLrCxsVnlTG6gp9goscb+jfkRbrn0Xd6FUnPJPWGi+qcqG+IUz2poaGhIQrh0eXpp5/Ge9/73rb3lyxZgjfeeENJozTSwX8QzEqJJl7GkgQZw2XTMFqkURYKmSzAswobpYJp8GwbkeyZhEZCqSj93CqkRJsrQVPlVSUC+nco80TjUAPyqnqCXk9FBT3Zz8J7MKhEY0oYOcaVrJVoUX2nE+W4FW5PNK8tajzRVJZz+q+jlGhAfBpiNUCS0r5MeZJotZDy2riSW4D174kKJskCaZKKybnppHIuL5CxLkj8EIxP8vU33s/xoL9itIgfupxzhibR0nqixZASbDqnxAJnYPzk8XZVAZrIo6u++3JSouXRd3oVSZ5oMmEYGhoaGqIQfuReuHAh9u7d2/b+li1bcMoppyhplEY6kEl8J5Vo6Uk0/7XICr3FaU5dFNAT1EgShiOdU3WwQFKpqGEYrQdtkf3W5s5rPko0/7UqYiCOFPDfD/98EJ1QMqlAx5VoZT7iKOwzWXiiORF9pxPluGXecs5W2p1kOWcKpVIc4hZHWN+k6H20KdEGKSVajuECMt6gNep48CquVSBNUrFWovkYGeI7Bryf4wXxRTsy4bTOH61ES1/OGb1QQsZn0+BXcTFKtEB/4/F2VYGoxdi0hKMs8uo7vQiGpA25BUxSC3M6mVNDQyMrCN/C/st/+S/4n//zf2Lfvn0wDAOO4+Dhhx/GH/3RH+HGG2/Moo0agsg6WCDUCyZhBT4JzGRLYCJMJo3d44nmv+ZKd2Q80cI/Q8OSVF+RBxEDrOosrF0ihFSe5ZwkqRZQdy0keccBnv9b6/MxxyqLVMkswJOElQZBpQOvDxgBmwCrSomWXGpYpTygM1OiUb8nbqGCkJtKlGhKyzn910GCz+ZUogVJ0sIo0SS8QenFnk4q0XjKk8PQdPwkxfnhieb933XDx+7Vy6w2o/sgFg17vl0qQRI6Xdcj0gDWEy1TJdocITE0YHB76TH7C9wzkqwjVCFqMTYvT7S8+k4vwqLvzyEL6MzCHGcJsoaGhoYohEeXL3zhCzjjjDOwfPlyTE5O4qyzzsKVV16Jyy67DLfddlsWbdQQhAzZIYLQFfiUk2t2hZ5/O/KwFlV+UTQwJEykp1Z4OADriRa+raz6yqE8lYyIB+WSIGHZdFw/2S0nkqhFKCvzREueABhUmXEcIUEm4VZJ3hC+E2BMpzuhROP0ASPIxhPNfx11DmsdKMeljwVXsIDkpJSZ9GZWzhn4Tk4lWrBsliXR8lOi1ULuOUnKSTZYoINKNNnFFUmFeLciqXTdNA18YM1A7D7ev2ZAuTE8HS5AfNFmskrnpH6367qt8Zk3mRMIXNsxSrSoZyAViFKipVXtySKvvtOLiCsXBoDJGa1E09DQyB7Ct7ByuYy/+Zu/wY4dO/DjH/8Y3/ve9/DCCy/gu9/9LkqyrsYaSpG1OouezJGHNx7FSBxkyznJZ7tGicZTzhmhCmGTPaNUbHJlWS0lS8wl7JOzfPvMosxOFKTNqsoQ40gB5ns5yDtCDhQ5VADogBJtjgixLY8E4/UBI8gioIEhHaLKOWniPyOSmPWHi/5c2mCBzpRzRnuixV2fbNkzO5kfz0mJ5jhu655FExhJpG89JmghS8h63tHnZT4p0YDoPjk2WsZN6wbbiKtFwwZuWjeIsdFy6HZpQJRoAHBozhdtqqqORItaKJmt+fc8EW8pVmXK/o3HV1QFiqZEA/y+E1SkZdl3ehFJKfTBhTkNDQ2NLCD8GPfQQw/hiiuuwIoVK7BixYos2qSREqJkhyjoie3wgIHpWTeXYAEg+xAF1WBLMqMUX9TnqQkPsy2XEk2gXUTJErMKKnqsaZPtvIgi72HLzUSJFjeptEwDNbhc5EBWflqqwK76ZqdEGx4wYRgG01eSjNqDn1HniZZMKlU7QBLzeKI5LlVypyRYQG4fYYhVojEJftH7CJKktLl5Xp5oYfdA7/0EEi0nZZcsScrjAdlL4FVHjo2WcWi8iR/eNwsAuOHSPrz7ir7MVESLQxI6aSVaWmIoaqFknCm1l1SitaVz+q+zLOeMuj/35+w/OjZaxvmrbbzw6iw2P7wF77h8DGecll3f6UXEkbQAMEknymolmoaGRkYQfuS++uqrsXLlStx666147rnnsmiTRkoQIsV1o02x04AQZiXTf3ir1b3JnCyklWglkqYl/dUdBfsAGf6ZKDUZEywgWAqaBDJZilVXzbXL4Zy3FiF90vcHVHMdNDknlVxKtFZyabEf8njJDhk4jtt64CXkiKgnWtB4XgV4SKVaB0hintJWllxXESygsJyT9gALeqJxkrPBslna4yYvTzT6XNBKh2QSrQhKNP7t8mpvXuD16QNYInXlyaVMSZCwcs7pWf9EDqYt54y4FmVTDuNIDh5vVxUwTaNt/31lFIKsMk0Dq5dbOHnkIFYvtwrRpm5CHEkLtCd+a2hoaGQB4VvYnj178IlPfAKbN2/GOeecgwsuuAB/+Zd/id27d2fRPg0JMCRMBgv1tFk8PeGtc5ReRSGu7CcO5OGv6aQj8TqFZjN6Uum/77+mk4d4CBzZyRIh6OIeakstJRrfPjuRXpgE1Um1DQ4S1Pte7/9RhITruq1JWF4EIy94yQ4ZTM26IHscmSMjRD3Rqpl4oiWTSp0giU3DaB3/qNJWFWl3soEkSWCUTMF0Tobwj95HUNFaKRut8zyZkydarR5OLsSV3AL5KdHSLq4E99GrECldZxSwGaub2HJO76TQwQIqlWh0H6XJiBEBMiJeiZa8GKgKQeI3z1JODXVISkCfnKGUaDpYQENDIyMIjy6LFy/GRz7yETz88MPYsWMH3ve+9+Hv//7vcdppp+Hqq6/Ooo0agki6waSFr6BhFRhpSjrpYAKxYIFsvHyyAs+ElynJjAgW4NpWYH5J1GVxShbRwIosvKpEoTqpllHWxKwek+MYdQ4aTbRK8LpJiaZ6PJmYaicjRD3RsvDe4zFiZxVwSr42FKR/RCvR0nsMyQaSJIFZHAmMLfR9Ki4YJoyMJ+qvIijRBvsNkCwWMSVaPsECMl6ZAKsu6lWIlK7PUOm8fRmTaLZlYMGQ9x2+Em1uMbOcviwyaqFE1lsq7hm0k8Rs8BrTJFpvwIp4RiagyV9dzqmhoZEVUlH0K1euxB//8R/jz//8z3Huuedi8+bNqtqlkQKyJsK8aCloKEWA936Kck5qW0uonJPaRxckdPJ4akWVc/IY8rLbiisO4laGRQMrOpFemASisFGVOMgki8WQvVaCaq8IKj1e8JIdMggruxAl5oPpjSrAQyp1iiQm107U+Mqm9qoo55TaRSjilGi2xUfOhh1n0lemZtzMUqjjUAu0iVzDSf2VN5hENWRJUlqVJHJf7laIlK7TSrSsSTQAOH7Eu5mNT7mo1V3MzCnRBhQQQ1ELJROMJ5qAEi3mntGpck6gnUQb6NOqpF4Ac53GeKL1V4x5oaDV0NDIB9J3lIcffhi///u/j6VLl+JDH/oQzjnnHPzkJz9R2TYNSWQ1ISKgUwXLnOlxSaAftISUaJwTsaKAVZPxBAuIbcuu0Im0y53bPlmJ5jheOWISGHIjJzPfliJMlRKNoxwXSFbtFUGlxwteskMGYUoHujRK1BNNVVkVX7BAZ0jicgJB01AwKc0uWCD6euFVTIeR8cTk3IVHpHUawXNfbhGd8dsx6sWuCBbgC1LpFYiUrs92mkRb6J+AQ8eclhJNhbrKjrgW6bI4ESVa3D2DXtDKuk/pcs7eRFKKLiHRtApNQ0MjSwg/ct9yyy1YuXIlrr76auzatQtf+9rXsG/fPnz3u9/F9ddfL7Sv22+/HRdffDGGh4exZMkSrFu3Dtu2bYvd5jvf+Q4Mw2D+6+vrE/0ZPY2sJkSAp24i+6zM+dMQpFKiUQ9aQp5oGZeuqgZPwmaUf02TQ8XAlKEJKA54lGj0RIwnXKAIaivl5ZychEXLi41HiZZzWlgSkh5Y04BRog0SJZr/d3Elmpp2WRxjaKfOYUuJVgsnrxmPIclV96zOMesBFvjOBHNoAvr82q1yTn/bPEo6gz58lYSSW4IGc5/LpGmhkPW8Y87fPFB0iJSud5pEW0z5ou073GydGxXqKvpapBc0GSWaiCdazHhC3xOzNtTX5Zy9ibjrtNl0W36Bw/36fGtoaGQH4ce4Bx54AJ/85Cfx/ve/H4sXL0715Zs3b8bNN9+Miy++GI1GA7feeiuuvfZaPPfccxgcHIzcbmRkhCHbDEMPlDRkTYR5EJywqvJEq0uWZNkRD39FBY+pbhQJyjNZlvGIc12X8kSL/lwpQFgm+S8VQW1FjqULLwky7UM7rzKDJu9c120bo7IoQcwKImbboqA90YgBcEVQ3ZqJJxoHqZQFeRcG0j9ceKRG8LtUlEdlFUYTp0SLS/CjUWspn72gBQAYolQxE1MOcEJnZVLBcs5yQsktAblHGQZgdrCyTLackzl/8yCdU6R0nZBohpHt9U9Ak2i79/sXzEDKZE4gWolGE9RDQp5o0WWxbPk59y6lEPTx0yRab4DxLgxcp0yogECf1dDQ0BCF8GPRww8/rOzL7777bubf3/nOd7BkyRI8+eSTuPLKKyO3MwwDJ510krJ29BpkTYR5UA1MWFV5otHBAiIPVt2mROMx1Y0KFuBRQbFKNL428ZSJAkF1jgsg/oG0RqeX5eWJFlixLKd8puJJSAUC5J0LBD9aBJUeL2jFTL0jSjRK3VpL/j5CZhlQNynjIZUIkWKV4q+btAiOsUHSVcWklB1z5PYRhjgPMJacjVOief+nx5DclWiBsY2co3ojnqwnxIxtdXbxj+6fskq0+eAtJFK6Xp1Tu1TszpzL4xf6N6/XDqgl0UzTGz9dsGM8GZ9tS+w+FRfQwAahZHvcgj5+mkTrDZRML8zFdduv0zCfVQ0NDY0sIL22+Nxzz2HXrl2o1WrM++95z3ukG3Ps2DEAwHHHHRf7ucnJSZx66qlwHAcXXnghvvCFL+Dss88O/Wy1WkW1Wm39e3x8HABQr9dRr6cw8SoQyO8g/zcN/yZSrdVRr6uTFkzP+PuySi5KpkP9rYF6Xe6mVZtrowHAderc+zEN/4Fsdlbtb80CdUpy4boNhHVB1/E/U2841PmlnhaitnX9zzTqTa4+TitqTNNt60/k/wZ9rKt12Amyl5mq35aSydcW1TADbTYSiL8k1ClmMq6f0iqT2dl6G/ExNePPTi3TKfZYRPWpWi19W+l+dWzS33e/3US97qJEjV+zHN9XrXmfL9tAQ5VUjvnN4X239b0WMj1/NIk5NVNHxWavu1nqOjPgyrWF/r31Bup1NSv4tXr09WLA/85qxDH2/uYTT+QzAxV/v0cnvP0Gx6ssMVP1+1nJbLado6jyPkKe26XOtJOAPtbe+eUbB6vU6pZp5DOGdxJMn6w2YvsVMfbvKxsdOS4LBv0+v2uff14qtuQ1H4BleaRpve7vb3xOKTw8YAiPrSXTI/jrDbZ91Ro1XrnZ9inLZAm8il2ce20nx6tehFWa66+B/nV0wu+nAxU110Y3QfcrDdWYj32K97caLo9DOIWXX34Z733ve/H000/DMIyWRwtZiWtKLmM7joP3vOc9OHr0KB566KHIzz366KPYvn07zjvvPBw7dgxf+tKX8MADD+DZZ5/FsmXL2j7/Z3/2Z/jMZz7T9v6dd96JgYEBqbYWHc/uexN2HT0FAHDZqb/Egv5JZfs+NjuIR169CACwfOEejPRN4tl9bwYAnHPSi1i+cJ/Ufh985SJMVgdRMpq4dpRf7fj8/tPx6hHvvL9txVYsGhiX+v5O4YUDK/HK4eUAgLeu2IrjQto7VevHAy9fDAA4eWQ/zj/ZK13m+a2T1X48+Iq37SkL9uG8pS8mtqnetHDv9ssAAIsHD+Pi5c+Efu6Xr5+J/RMnAADe+abH0GfXQj9HsO3AaXj58AoAwCXLn8Lxg8cS26IaT7x2Ng5OHQ8AWLPqEZStdCTLI69egGOzIwCA60cfQJQA4fHXzsEbU95iwLtWPwy7xI6Le8cXY+ueswAAoye8jNOP352qXVkieM2fc9JLyvb96M7zcXRmAQDgutEHYRouag0Lm17y+uMJg4fwluXPxu7jP166BLONPpRLNaxZ/ZiSdh2YPA5P7j4HALB68atYtXhX22fue+mtqDYq6LOqeOeqnyv53jD8au+b8foxT3l9xconMFyZZv5+ZGYYj+0cAwCctmg3zjzxZeHvoPvjGUt2YOVxr6dstYeHXrkQE9UhmIaD60bZ+/rByUV4Yve5AIBVi1/F6pBjDAD3bLscTbeEofIU3n76kwCAN6YW4vHXzgMAvOn4XXjzCa8qaS8vXnpjOba/sRIAcOEpz2D3sZNwYNKzt7h61aOoWOEPYKTPVKwqrs6wzwSx88hSPLd/NQDgvKUv4JQFB7i2e+3oiXhm3ygA4OyTXsQKyft7t+C1oyfhGc7nmXtevAxNx8JgeRpXnv5E5m1zXOCebW+HG1gIWnX8Tqw+YWfq/W988VI0HLv1e1wXuHvb2wEYWNA3jstO2yq0P//4TOHKuesWkO+LMnhy91mt6xIAzj5xO1Ys2pvZ92l0DsH+SrBn/AQ8tedMAGrvZRoaGvMH09PT+NCHPoRjx45hZGQk8nPCSrSPfexjWLlyJTZt2oSVK1fiF7/4BQ4dOoRPfOIT+NKXviTd4JtvvhnPPPNMLIEGAJdeeikuvfTS1r8vu+wynHnmmbjjjjvwuc99ru3zt9xyCz7+8Y+3/j0+Po7ly5fj2muvjT0w3YR6vY6NGzfimmuugW3bmL2/il2/9B7i33bp5Vh5sjrjiR2vN/HIqzMAgNVvOhXLlph49qee0m/0jHNw1YUXSu338W9PYbLqoq9Swtq1a7m3az5Uxau/8H7rWy55G0ZXFNu4ZeY/qnjlsNfeyy+7NPTcvHHMwQMvexPlk5aegrVr3wQAmL6vilePeNteccWlOPWk9m0PHnXw4CvetkuXLsPatasS2zQx7eDe7XPbnHRC6/gH+9X+n8xi/zaPhLryqqsZj5YwTN1Xxctzv/XtV7wNpy3tfLzb6/82g4M7PALrnVe/CwuG0ilsnv7uNI7NOrBKwK/9WnQ/fW39DN542fveNe+6FkMBg9ufP1vH1j3edXPeuWfiygvOS9WuLLHvkINHXvX6x8mnrMDa696can90v3riuzVgxkV/Bfj1X7sBgKfW2fT/nQIALFh0QuJ48MD/ngQawMhQRWjsiMPzrzbw5O5ZAMCb3rQaay8/p+0z//F1b3FiZLhP2feGYXJTFa8/Rcbzt7dd9y/tbuKxnTNzbV2JtVeeIfwdT73UwNZ/937v6jefiWsvOT9lqz388jtTmKi6KNtm2zHatquBJ37ofefK01dj7RXtx9hxXfz0Ba8vHH/ccGsfuw828fh3vd+8ZOnpWHvtWW3jVZb494eq2P6Gd04uu/QteOyZBg684I2NV1y5BicsDB9nHvjfk6g2gOHBbPtMEI88XcdzG73x5uxzzsdl5/Idnwe21vHMPm+7sQvOxVvPkru/dwt+8Vwdz9zt/d4zzzoHV15wYWi/cl0Xd5N+uWioY+fy8b1TODzOrnufd+5qvPPC8EoMETy0awoT0y4qfYNYu3YtJqYd3L3NG/eXLV0k/Bsf3DmJyRmgv589Pvf/sobn9nsLcBeOnY+LzsjuWt3/k1kc2OYvnF38lnNw0ehYZt8ngk6OV72IYH8l2Lylhqf2eP3r4gvPwiVnqbmXdQt0v9JQjfnYp0jVYhKEGYdHH30U9913HxYvXgzTNGGaJq644grcfvvt+OhHP4otW7YIN/YjH/kIfvzjH+OBBx4IVZPFwbZtjI2N4aWXwtURlUoFlUoldLte6wzkN9k2tQpulJT+Ttp/p69SwkBfCUB17m+m9HeRSsWybQjto1JuAPB+rwur8OfUgX9u+ioW7JCItj6qVMl1/ePhoCa0rePyHUvDoEt0288h6VdlSnlmmhbsoGtvAI2m//nBfjvx81nAtqvAXImOwdHmJJD+b5UQe2wty/9e71ixk+qGQ3vaqL1GVaOvz2+r44hdn3GwbRsT097YMTLo9zvLcn1/nkby95GKs0pZfvwJgr5luCFjqOu6LU+0PoXfG4b+Pn/MaLrtbaHVkGVbri9VyvS/1P2eRtM7k7bVfh77KgYAj0Rz3fDvrDIJiP5njhspAfBItKlZdt+duLc3mv45GeizA+NuKXRs9rbz/i96n0uLSpm6cQs8E7hUeWNfufj317SolF2Q5xk3cK3R/Wq25oL0zP6+bK9/GicsLOHwOKumHh5Qc148PzgXjab3W2eosssFQ+Ljiueh5++PgO5T5Yz7VCWglh8eKN5zfy/ORToB4rHZdNj+NU2V2i8Ymr/HVvcrDdWYT32K93cKyzKazSaGh4cBAIsXL8aePXsAAKeeeiqTmMkD13XxkY98BP/6r/+K++67DytXrhRtDprNJp5++mksXbpUeNtehZVR0hoQNEQ3Aumc8vslBsZBI9gkZJlEmgV4THUj0zk5ouGjto1tE5XWFps4SYcWcFRtM+mF5ZgPZgjVqYPEEi3JENlijlV7vwym+xUZcXHyaVBvuJidm+MMUylahmG0+ktS4q/juK2xQ2VCHtNvQs5fo+mVV3nfm+35ow31ayFjLE/gSBKyCqMhfT9sXGHSOSOqrKNSbGllJ20k3Skw98Eyex8MO0cEsve5tGCDBUTSOf3XWScpFgFxhvg0WHK3c+fy+BD1d7+CYAHA914k1mdpDdpJHw8m7/I+b6hAkMvWwQK9A9K/glZ9kzpYQENDo0MQVqKdc845eOqpp7By5Uq89a1vxRe/+EWUy2V861vfwumnny60r5tvvhl33nkn/u3f/g3Dw8PYt8/zn1iwYAH6+/sBADfeeCNOOeUU3H777QCAz372s3jb296GVatW4ejRo/jLv/xL7Ny5E7/9278t+lN6FqUMEyvZSQ07wUua8MaBpJaVhUk0/7UqT/EswSZhhn+GPX/+MRXdNmzyHwZmEs6ROOm1JXnf9GQyr3ROUeIvCSRFMOnhnz6OYeRdNUBGFxlMOmdMiqIo6Cj64MNuxTZQrbmxhASQXR+jz2/Y+etkuiqzUBGSVkpfiyXJSSkzbnBc27xoxJBGlpVM7EQd51LJwGCfgalZN590Ton7YLPp+sRrp0k0yfRV+nq3O9zmPGBT43YUsQt4SjSCvEm0AUXEEFksIemcE1P0+CzOzhOSPHhts6S/TufUkENU/6LvB0OaRNPQ0MgQwiTabbfdhqkpzwvis5/9LH79138db3/723H88cfjrrvuEtrXN77xDQDAVVddxbz/d3/3d/jN3/xNAMCuXbtgUlF3R44cwe/8zu9g3759WLRoES666CI88sgjOOuss0R/Ss+CncCrnWAEJ620+qMmSaK5rq8miaiCiQT9YF/vOiVa+GeilIT0tlEkjowKkYecAwL9SlCJlhdRRB8nR8G1QI5V0sN/EnlXC0zCi4yslGj0w26QRPOIIzeRmI9SKqVFKUFJWO2gkpBVooWr4ghkJ6WWmc05JscurIra4ljsiTvOwwOERMtDiea/Dt4Ho/osTcp0WtUlugBCoJVo4ciLRFsc4rU3oEiJRs5vo+E9kzFKtEF5JVpwcZN53si4TwXJalXHSiN/+KQv+z67OKcmZVpDQ0MjDMIk2nXXXdd6vWrVKrzwwgs4fPgwFi1a1Ero5AVPMOj999/P/PsrX/kKvvKVrwh9z3xDVqU5QPukVUU5J/2gLrrazTMRKxJ4JrxRqoEGQ3Ylb8t7PHhKTL3vpLbhmLeSvmJAnBxVBVMxAUT2kfR7SgnkXRFUerywM7rGJqejH3bJMUki5rNShLHlnAnfm/EkOomgcRRMSksJyjtZxJUvMgsgEQrHuOM8PGhi32EH1Zr3uU5eRXH3wSj1JL3I02lVlyW4AELQaNALN8Uep1SAUaLFHKfZKk2iZdkiFscvaL/AB/rUEAWkT7rwxpSJmPGZB7RnleO6MOfmB8zzRsYchy7n7F2Q/uUE+hchf8t28a0yNDQ0uhtKbmHHHXecMIGmkR2SSpHSIDipSVJJcO2TKRkR29bimIgVCfT5iFrZZ0lQqpyTQxUgozjgVaKJ+s/V5lbryzZyGx8sxYQyOR9JD/9J6q2sFFRZwDTRIihUXmMT9IpxQOlAiKN6I15BmJkSLWEM7eT5S/ZES090WBJl4ElwHL98MWy84lOiRR9nWr1Iqw86gVqNblegnDOk5BZglWidXlRglJUCzwQ0kWQVO/haCVh7CD4lWtYkOo2wRGx15Zz+63pTgScafQ+k+j77HNO5cs6Smd9inoZ60OeW7lNkcW6oX6vQNDQ0soUeZXoQsibCPGjzgiknTx6SUKcmhqIr9FmpZLICzyqsYRggFcxR5ZxRijHTNFppfbykUYOjTBQQVzgSZWKeJBGjzFNQzkkmlUkP/0nHqpNKprQwDKM1ge60Eg2IN2rPStGX5C2YmydayEIFLwkeBzODMBpGYRxyvdBjfRRhEXec6T4zMdXZkk5yHmwLMA2+xaQ8/cVkvDIB9ryEncNeA+vTF/25vMo5R4YM5h5tGsFkXXkECcS0SjQ7ojS2oWC84m4D9Zv6K4Ze7O8hWCGWGY7jYmpuQUWHCmhoaGQNTaL1IGRNhHlQzcATjS5zKadQosWtHBcFrB9I9E2+5U8iGCxA/03OEy2mnFPQfJz0hzzLFa2EsjwROK7bKp0TCRYII++CZHTRQSbQKkn5ZE80D3G+aGwCrMJgAXohIkyJVvNfZ65EK8cTNLwkeByyKIunSaMwFVNQ+RKGuONM95nxDocLEPKWjG18nmjyiuu0SCpPjkJjninRbI4+CbD9sq+DJYKmYTDhAv196ogh1l+WVaLJGLRHqbF57SNUgP5NqlJMNYqBsCqU6VkXpHfpUAENDY2soUm0HoSsiTAP2DIWAyXTXxmV9URLo0TjmYgVCawnWvTnyKSHJrgaHKEEQDgBFwd6UhW3X9lggTxJIpVeT+xxSqtE818X3RMN8CfQcYl1oohTOlQ4yflqVp5oCQsRnQzNSCJoeEnwOGRxz2gklG3xlM7VYo7z8CClROtwuIA/tnlt4lFOsuWcnfZE81+LjIP1eeaJxpYgFi9YAACOH/G/zzLVBOYAQSLdV6IN9BlS5555NqOOpQrlLC9KJf97Dag7Vhr5I2zhJ616UkNDQ0MEepTpQciaCPMgbNJa5jQBjwKzQi84IeUpCSoS6AkqDxFGnz/y8GnAK+OIQhgBx92mOE+0hMRJGg6VuJonScQSf+n6h0hSXdKktRW6YHRH6p2VgRJtklOJVosh7moZpWRaCf2mk+mqSQQNLwkehywSWBkj/ZB2GYZBEf7h+4hTbA71+22e6LgSjahsvX/zKCdVKAZlURL0s/Q/67+eD35SbAli9OfyItG2bKvhpdf9hh2bcnHrN49hy7ZazFZ8CHqYkRJp2bI4O6I0lidlXAW2bKvhX+6bbf37wBFH2bHSyB9hHr2TM5R6sr/3SX8NDY18oUm0HoSsiTAPwpQBZCIRV3YVu89G/GQrDt2WzkkmvKaBVppQGHxPtPZggVIp3qi/FELAxSFJMRLcb7BdYWDIjRw9v0oCxF8SmgIG7mz5VAgJU/Mn4d3g00Imlw2VSrQZn0gcCDzw8hi1B/+m1BMtIYm2s0q0JE+09Gl39HaOKk80qq+EpXMC/vhdjyB2aAI1eJxHqDCKTnqiua7bGt/I2JZUcguwSrRypz3RBJOVCVSEVnQT6N8YF6LCpnN25rhs2VbDHeun2oj0oxMu7lg/lZocognEmaqL2bndySp6op7NeBLK04Icq6lZ9hyqOlYa+YNVMnv/10o0DQ2NTkKPMj0IWRNhHlRDlB/plWjUPlOUc6oOUcgCZAKTpBjxlT/0ti7XtqUQAi62TYIlpsFtwhBXhtVJWALEXxJElGilBHI3WA5WdJD+GEV2yIAo0YYHjDZCucxh1B78W2bBAiGkQ1YKuDAwpa0hhKKKtDtZpVIcGglKNMBXq0SRs0H7ABpMsEAHlWj1Blq+OyKeaGlSqNNCOlhAYMzrBVgSSrROBMM4jou7Nk3Hfub7m6ZTlSvSY8eRiXTJnEB0cjrrCyu161h04lhp5A/GD3nuXNLqdu2JpqGhkTU0idaDkDUR5gGZtBrwJwJkIlGte6v0omDLOcW2ZcxwFapksgKZWCYpRsLCAchDfdLqbRgBFwfeElMRf7GiGOervBYanMfJ+17/dRh5FzQmLzosSokmc40H4bo+8RG2YsxDSgT/prKf0ZdYGKnUSSVaJaG0VUXanaxSKQ51BUo09vxGBwt00hMt7NzzeKLxKPOyQkkyfZX1RFPZomKiZHrPNkD8ggFbzplxowBs393A0Yn4cffIhIvtu+UfgmgC8ch4ehItKjm9yentKotOHCuN/BGuREvfbzU0NDR4oUm0HoRKM/UgWgqasl+GRiY3ritXMpfGcLlblWhJihHfE619BTdRBUUIOJlggRiCLsyDIgpFMc5XeS0wk+DE8xdP3nWbEo2kc7pQU+7XcEqtsSLsYZeHlAj+TWU/o/26wpVotBJF2deGolQyWtd0aDmngklpFuMojwdYEuFfC/HgJOjvM1pl751UooURtzyeaGw6Z37BAiL3aPJZK8FCoFdgGAazYBAFuoy8E+mc45N8/Zv3c2GwqXvWYYZEkyznjPCrpcdTK4Nyzk4cK438EXbPmpyhlGj9enqroaGRLfQo04MQITtEEaag4U3Si9xnislFFobYWYJMeJOVTO3hANwqtpJYsACtZIkj6ETUKrUYBUknwXqipbsWRFLF4o6V47itvqoyUTJLqE7BrTX9Hx5GovGQEsG/qe5ncWR0J8s5AX+8DRtfeUnwOJim0VLgZKFEsyNI51awQIT/VJh9AIFpGK2+00lPtDDitpxQcguw142o92dayKavkvMyH1RoBDwhKp0OFhgZ4vsO3s+FgVGi0eWcg3L7tCPuGYwnWgb9qhPHSiN/hD37ayWahoZGJ6FJtB5EFqU5BLUQBQ074RXfJ6tEE9uWfvCLMwIuClqeaAmTXfJw2Wj65XNOy0+Nb1ve8kVWycIZLJBASGVJboiAUYSlVaLRypoEsrcUo+yJIwaKCtUpuLWGL98KUzrQPkNxJBqrCFNMosWQ0Z0s5wR8kiYsZKHJSYInQXTcSAJ7vYR/hvSrKGI26TiTvjMx7SopM+ZB2AKBaRite1ekEo16v9NKtFKCMjYK5Lx0ur15gpzHOHsIYrpvW9mZ49NYvczCwuH471k0bGD1MnmzPfpeeXgiSyVa+iCUOHTiWGnkj1AlGuOJpqe3Ghoa2UKPMj2IbIMFvP0xSjSOZLI40OSXaLCA3WVKtJavmYCnFnnmbKVzJly1lulv53BMLNm0rLg28RNScWVYnQRDKKdO5/RfW4lKtOhjlSXxkxUyVaKFKB3KnOrWLL33SN8JG1c6rbQk/SSstLXBSYInoRRSQp4GPKm/pF85DkKNvpOuFaI2aDrATDVFYwVQjRjbfLVg+HaMEq3TwQIp0zm1Eo0FIbM7lcxpmgY+sGYg9jPvXzMAMwWhZyv2RIsqIW4llJvZlAh34lhp5A82Sdf7Pynrt0qd8SrU0NCY39AkWg9C1kQ4CY7rtm5W9ISVt/QqCvUUqWVMmlZXKNHmbvJJRFiIcoAY2yf5cYmqDhxOw3wRX50qlSCfazmnwnTOOofHU9jfg+egKCo9Eaj2zGLLOUOUaJzq1iy998J8Cf02dZYkJv0k1BNNQbAA4PsTNZSVcyaP64xaJcY7EAgnSem+Q/vhZImoUt64cwTk64kWp4yNA/EF63QQQp6wKBV4FGbmSLROLoKMjZZx07rBNpXVomEDN60bxNhoOtaAfq4Yn/L7iKwSzWZIDnFv1zTI+lhp5A+bSdIlnmhe5xrqN+aFh6OGhka+0HrmHoSsiXASoiasaT3R6tR+RScXpuGZSzuOGoVM1mipyZKIsBDlAK8SLbht0hyf1+hXxFen1uFytyioTOdkvKdEiMzAsSqKSk8EYau+aVBtxHuiMcECER5TQNaeaAYANyJYwH/dCSK0PHenbjoeqccS5WrS7tSXc/qvo4h/1jfJbTuW5DhbpfCyObrvTHYoXIAuqQ27D0bdA+lFnqjy1qxgGgZMw1MnC6VzzvWtTnu45YlWYmzMolynlWgEY6NlnL/axvbdDYxPuhgZ8soSVaiqokgtWU+0qOdQ39s122OX5bHSyB/BhWbXdVv3AFniV0NDQ0MEmkTrQciaCCchqoSJUaLVIIxaCiUa2aZa6xIlGm85ZyAcwqUmP8nb0t/nAoh/aOQ1+hUJcciyzE4EzIO8Sk80gXLc4LEqikpPBGGrvmlQa8Z7otF9JtYTrZZdP4sjlUibDKMzpW6VgNp3IMLrL03aXStIQdE9o8FRvsj6JrX/PSnFdnjQ7zudSuhk7oMUiVKmSm5d121TQtDks6htgQqUSoDTECNJ56MSjSzkRd3jGk0/GKbTJBrglSuOrlB/Uw0juk0DGOiTDBag+gyt4vZ9YaV2K4SsjpVG/giStDNVf8FrSIcKaGhodACaru9ByJoIJyHJCyb4GV7QCjKZyYXvYSK8aUfhOC7I0UlO2PRfN5t+qIC3bfwxEjXTpyfNWaRz5qpEi1DsyKDJoazxv5faLnCsOm1KrwIMgapAiVZrxHuiMUo0Dk802/LUNirR8kQL8+oi5Vx2Nr4+QZSZoAX2b6rS7lpBCorGUVrJk+SJBrATbQJy7qMUm7QSbaJD5ZxJ90EX4WrNNLYFKhCXNhuGpuO2/Djnlyea939v4ar9WLHJnJ1qVfYI65NDA4b0uBrtiTanRJtHfUpDPRh1fNNlFlF0qICGhkYnoEeaHkRW6ZzRXjD0Z2TKOdN5xfCUXxQBPOVNrb/TSibHDWwb/z1xKqikdsURdGLpnP7rXD3RFF4LImSFZUaTd11Zzkmn4HbAE4038ZeMSVmQkVYMqZSkkFKNOFKxyelpmAQy5qhQGnr7ofYd0S47SYlWS1Ci5VDOGXUfTCJ+6wLjfxZoLTZxjoP0+bBzaG9eoFV3YWQoS6L1znEJ65NpyuKi0zm9/3ci1VSjdxEkaenxf7hf9y0NDY3soUm0HoRqE3CCaC8YhcECEqRCUvlFUSBiAB5UE4rEwsf5cSW2K1aJxq9wLIraSmVSLX0tJU0qeZVoXVPOqViJVp0r57StcCJRVImWxXH0yxu98jwaWZJ3YYgrb21ykuBJaCnRFC28NASVaMF7leu6iceZnuR3qpwzamxLKkHOXYkmmL7KlK/PI+MPO+H5iS7H75Z0ZR6EnWPZZE4g6HfovybPafNJ3aihHkGSdmLGv3Hpck4NDY1OQJNoPYis0jkjvWCYCa/EflOuePtpWsVWojWbyZNKAkZB1QyqoMS2FWlXHEEn4i/GqK1yLHmhFWFpSVYRJRp7DsIJGKCLyjlVe6LNlXMOD5ih5ZDcnmgtEi11k9pAX2dOBBGajxKN/RvjiVagYAF64hzpiRYTWNFoolVOyKNEy8UTLXIxqX07+vd1Op0T8J8LeJ8JRJTTvYQkn76Zam8q0cKevdKQaNFKNBIsIL1rDY14JZou59TQ0OgA9EjTg7ACflqqkJUnWiOtEq1LPNHoyYsp4onmuEIqNitGBRXaLs7Jkoi/WGHKOQWPRRx4veO8740m77pRiSYSKpEEx3Fb5ZxRkzTTNFrESxQxz6NUSoNShKePQ5VXd6oclw1vYa+9BicJngSyreMCjpuekOJRosUFVvCUPdOTpY6lc0a0q5xUzsko0fIJFgD4nwnqjPI2gwYVFEk+fdVeLecMVaKlKOeMUKI1W0q03jl2Gp1HUMU8Oa2VaBoaGp2FJtF6EGaMCiYNIr1gyvRnxL+vljK1jDz8ecqF4qrRRNIdg6RFU2DbEqO+Sj4eDU6CrjuDBfzXqcs5qX6aVDYXd6yKotITAU12pPUenJoFSGJsnNKBjDFRxHy9gVZQRxZkpMWcQ78NeRDE8Z5o3v9NM13IgRUoIU8LRsnEoURrJ5v911HHuVI2WirETgULRHui+e+Hl3P6r/Mo52x53nGmr9Lj3bxK50woXac90XqqnDNMiRYS+sILO0qJNnedm/OImNVQj+C9Y0Ir0TQ0NDoMPdL0IAzDoJLl1O2XUdBQD0i8JuBRYFPcxLdXPfnLCk2BhM0gCcP6lgn4cYmWc8Yq0cK3CQO9Wp9vsIC60mb6WkryCLJijlVRVHoiUKlEo1eM4x52CXEURcxHKYJUIUpNyJKgxfFES1sepTqQhsdDMCrBD+A/zqQP0f0qS0QpSZNsDYiqyUA+pWyi6auN+apESyhdp0m0/kp3jN88CCN2VSnRyLVNJ5RbevahkQJBFfMktYgypIMFNDQ0OgB9G+tRiJoI86AaManhNQGPAlmhty05JYUdMxErEoQSNgOlk2yCZsK2EQqaKPCWiloChFRREijjJumiYNSAiSRo9LEqikpPBCrDSpgV4xilAyGOopRoUd5UqhBFKuVRjhvriTZ3PtKWR6lUbQKs8ipSicYkIQbJZr7jTNSMUzO+h1qWqNXCx7ZKTMkt4KuaLMn7XFoIl3POUyVa0oLB/ErnTKNs9V+Ta1vE21VDIw5MxUUDmGAW53Tf0tDQyB6aROtRWIImwjxgJ62gXsdPHhL3O/eAJesTEzcRKxIckYTNNiUan1oMEFfm8ZaKRnlEhYGorayS52+VF0QJxTjUBUjQOPKuKCo9EdjMNZZuX3TZHZcSrdaejgmwir6sPdHoayQPgrgc4ztJFJLplWhqA2kaHEEqcQsgvMeZ9CEXQL2Z/QmJTOcs00RntCeajGWBCpD+4YK9F0VBxH6gl5BUus6klHdJOT4PwtSGaZRoTDnn3LXNhKDo2YdGCgQVo8QT0zSA/r7ueK7S0NDobujbWI9CddIaED1ppSc4Mkq0RotEk2uXSrVRlqDbZgokbDaaLnMeRQg4nuPBqtxiyjkFCCnSD/JWWjHEgEIlWmI6J01kBo5VUVR6IlCpRGNTtJI90VyEE3dRacGqwJDRtBKt5r/umBIthqAh/TKpTyZBNNU3CfS4EpnOGeGbBPAfZ7oPkdTXLEGUgCWTvc6TPdHmFIM5+KEB0f05CvWUqdndinmrRAshd9N4ooXdM3itIzQ0ktDuieYNaoP9BswclL4aGhrzD5pE61GQCVFa9Q0NtoxFnScaCRaQXaG3u0SJxqRgJiZsshMeZgVXQAUlXM4Zs2/TNECeTZIm2WQSWc6ZJBJNKo0DW44r4GknYZheNFgJZtsi4DUATiLnM/dEiyCjo5RIWSLWE62lREvXFmbSq+C+UedI54xK8AP4j/PwoH+iqs3spUHViAWCRE+0lm1Bvko0gHdxhTp/ORF/eSBpwWC22pskmmolGn3Nk77P+6yhoZGEoIqZeKLpUk4NDY1OQZNoPQqyyqdSmVWNKOe0Sp6EGpD1RJsnSjSmJDP+s0EShn6YT5osm2b8SnoQQgqrFjkb/7miKNHMgKIvDYQSUmPIu270RGNKnNIq0ehyzlhPtOgSRoAlKjIp54xQXuahJKzELFS0ggXSKtGyTOeMaBubhBit2Iwj4xklWgfLOYNtqiT0V3Ld5GXSb8WoY8PAeKLNI9VQUun6LKWQ7KV0TtMkmckebCvd+BYW0MA+x8jvW0ODHpOmZpzWtTqkkzk1NDQ6BD3a9CjIpCUrTzR6wmAYRqIJeBRc10V9blKowhMtOBErElglWoKSKaAmY8o5BZRoDsf5J33ENJAogyf7jiOkXNdtTfSzKLMTAZ1Uq1KJllSKYhr+hCR4rOhrxO6acs48lGjxCtesveWiSKU8ggUYlVPAd5KQ82k9hpSnc3KkLrMTbfZv3Eq0nMo5gwQKq0QLK+f0/p+XEs0ULNdl0jm1Eq2FXk3nNAyDuR6HB8xUARgmnRIf5ok2j4hZDfWg++rRSZ3MqaGh0XloEq1H0SIOlKZz+q+Dk0cyoRBVojUdtCLPZScXdkxJUJEgUspQCvg9NEVCCZhteQyk+drkfXdyYEWjCRAf+CIorVQl1YqkqxqG4X9vhBKtbCeTlkVBmKpAFtyeaAlG7Vkr+qJIpawVcGGI89vylWjp2hJMBE4LMhZbpeg0SrbkK6hE81/He6L5J6rWwXLOtntgbMmt21rQyIuQEi1tFylf7yUkLRhUe9QTDWCVoWn80AjIfSM0nVPPPjRSgO4/RyfpZE7dsTQ0NDoDPdr0KMiEqBNKNMD3MxP1RKPLJcrS5ZzdokQTSNgMpnMKTGiC2ya2a46g43mo5QmsiCr7zQuqkmp50gZpRJF3LZVeTooUGYT528iCKNH6K/HHMcmoPet+ZkWQ0Xko0SoxKidV5ZyWoGdWEshYHEc42wqUaCPUZD9rJVqj6ZNhIp5ojEl/bp5oYosrdQ4lYS8iqXSdKNEMo/cUevRiyYgCMsIK2Io4ApYWGhpxMAyjNS7RFRdD2hNNQ0OjQ9AkWo+CltG7rhpiKW7SSiYQokq0GlPaJhss4L8ushJNZBWWKedsutLb8kyWRJQsPIEVeSh14lBqlaCm249IuAMQrdqrRShZigxbpRKN0wC4kmDU3lFPNKrvMIsJ2QufAESHtziO21LyplV2BEvI04Jcb3GkURRRCfAfZ1p5UM3YE43nHhj8HMAu7hQhWICvnNN/nVeb80CSEo2QaH1lI1W5YxFB/3YVZXGkSqARqkTrrWOn0XmEPYfpYAENDY1OQZNoPQr6YUhVQGet5V3GmtcDvmokWHqYBHq1W9ZwOW4iViTQxyXRmJ46vs1gOafItgKeaDzEUHBlOQxZe1WJQlVpMz0R5llFtyLIOz90IVVzOopgnLws6g0XM1XvddKKcZLHVNaKsChSKY90VdvyPfboY6Gy5E51sABR8cQq0ehS/ABhwVvOSU/2sw4WqNGm8jHlnEHfOtakP4uWJUM0tVmkfL2XkFS67pNonWpR50Avlqgp52SfF5rztE9pZIOwe95Qv57WamhodAZ6tOlRiK468yDKCyb4XphqJAo1BWUujBFwylKzLNEUWIUNpjtKbytgIM2zMsxDSM1WfeZuZtZlSjjygKrS5ga1vS2i2qOOleu6resj79AFEbBkh/z5HKe8SwwXsX0jKe2QVSp1Llggj3RVwzBQnpu008eC8VksXLCA938rTolGh8LEBHDEHedSycBAxXs9XevH9tcamY05ccRtXH+lywLzWlgwBUlStpyze8aqtLATStcJidZLyZwE9BgwW01/7ybPZqT/NwS8XTU0kqCVaBoaGnki19vY7bffjosvvhjDw8NYsmQJ1q1bh23btiVu94Mf/ABnnHEG+vr6cO6552LDhg0daG13IUjCqICvoGm/SdEPlNUa/4MXU+YiXc5JPfQWWonmv05O2GQnlyKlhOxkmKOc02nfLnLfCYTUlm01/PW/TLX+/dRLddz6zWPYsq0WvkEH0EqqTVvOKZCQ6n2m/VjVG36QRhFKXXnBkh1y+9iyrYY//+5E69879jixfYMul0tWosm1KQ5RHmF5KS0rrZJ5/72moE9fHJJSCUVB9hGnMGa/k/1bjVNpuGVbDbNzXajWLOP//cFsZmMOS6CyfyuV/DTCOE+03JRogp53bDmn+vYUFXFKNMd1UZ3rVr0WKrBlWw37D/s3qwe21lJfR+TZjBDq7D20t46fRucRtkAzpIMFNDQ0OoRcR5vNmzfj5ptvxmOPPYaNGzeiXq/j2muvxdTUVOQ2jzzyCD74wQ/it37rt7BlyxasW7cO69atwzPPPNPBlhcfoibCPPCVaO1/i/ODiUNNSbCA/1qFIXZWoM9Doq9ZQBXSEAklECy9IxNxPmKIbNP+ty3barhj/VTL84rg6ISLO9ZP5UaktfwBU66qk3NgAOCxc/GVaP57vOqaosFOeY2RvjExzd83KhE+YASZe6JFlL/FESlZgoyxUUo0M7USTawMPAmtdM4YJRqzABJQOFY5jjPpV8FLO6sxJ6mEuBJyjoCAbUFenmii5ZxaidbmsUqX8/YSiUauo+B1n/Y6ai1gOR4BqVI5q6GhlWgaGhp5Itfb2N13343f/M3fxNlnn43zzz8f3/nOd7Br1y48+eSTkdt87Wtfw/XXX49PfvKTOPPMM/G5z30OF154Ib7+9a93sOXFhyVY0pcE13VbD5ChSrQE1UgUmJIR2XJOWiVT5HRORk0mUpIp9vApWpblK9GSjz9RMziu91BM4Dgu7to0Hbvt9zdN51La2VKEpbwOCHlUKoHLULrlH8f4aRUruZQXpul7comqPWX7BlMiHqJuzdwTLYJUysMTDaCVaOEkWlqFk2gZeBwcx0+xjGtXvBLNfx12nPMYc5KIW3JNx5NoypojBItZWEv+POOJNp+UaDF9cpYah/oqvTFZz/I6CoY0qFTOamiE9aFBBYEYGhoaGjwo1KPRsWPHAADHHXdc5GceffRRfPzjH2feu+6667B+/frQz1erVVSr1da/x8fHAQD1eh31uoB5V4FBfgf9ewzDf1iZrdZR70vHl9bqfgqcbbltx84q+d83PdtAnZNIm5n1pWglw5E6Jwb8J91qrVnY81qr+e103YR2Ov5naw2HJSYTtnVdf9s6x/FokUMme17D+pVJ96vZektVsf21Bo5OxJ/zIxMuXnh1FquXd3bYIW1uOkCtVpNOVGvMmaJZJXD1sdb3Nv3PT0/758YutV9HRYZleWVp9bpYu2X7hmn4x2qm2t6Pae89Ew3U66ofnqlrkLqOZmvU9xpZfG84bMs7hvUGUK3VYBoGZmcpjzmk7E+uv69qPd3voserkhlzvVBEfK3Ojv/kOBsG4Dr1tvbkMeZMU/crq9R+vyIkWi1wjcxW09/n0sM/v7VaA0lNqFL3K8Plv6d3P+jj1Gwdp3q9jslp/2/lkOegbkSW15Fl+vudma2jSpceoLjPap1A2POVhhhKJttvB/oAp9mgH5/nHXS/0lCN+dineH9rYUg0x3HwB3/wB7j88stxzjnnRH5u3759OPHEE5n3TjzxROzbty/087fffjs+85nPtL1/zz33YGBgIF2jC4aNGze2Xu/bOwrAO073/cf9GCzPptp3rWkBuAwAcOzIQWzY8Czz99cOngZgBQDgoYd/jhcGj3Ltd+/4YgBnAQB2bH8eGw6/Lty2A5PHAfD6zHPPv4jawV3C++gEXnpjBYDTAABbtzyBPdsPR3726MwQgAsBAC/veBW2VW9tu+WXj2P3i0citz0yMwxgzPvOl1/BhqmXIz/ruoDrXgkAGB8/gg0b7m/7DN2vjhw5F8AiAMBPf3oPrJL3tLJn/AQAZ0Z+D8Hmh7dg+8jBxM+pxPix8wEsAAD8ZMPdDBEotJ+JiwH0o9mscfkwToxfAGAETQf4yU82wDCAo9S52fv6TmzYsEOqLXnAdS4FYOPY+GRoP4mCbN84NutfA9t37MSGqZeYz+8/4J/X+zbJn9co7Dnmt/tXTz+L8df3AAAOHLwAwAgA4N57fgpJTlYYE8f8a+/HP/kZLNPBZLUfwMUAgL17d2PDhhel9//a0ZMAvBkAsHXr0zj0avg9lQd16n5x9PBBbNgQbrfQdAwAbwcAHDhwCBs2/Kr1t8NH3gJgAKbRwE9/+tO2bfMYc14/tgTAGQCA7S8+i9rBvczfZ6fHAAxjtuowY8T+Cf8e9fKOF7Hh2GtK2iOCHYeWA1gJAPjF409i5wuHYj+/a4//DPHQQ5tTP0N0C6ZqfQAuAQDsfG0PNm58AYB3H6Tvy/v2dNf4HYUsr6NDh84CsBgA8LN77sUbU4tArp9tLzyH2f17BFvbe6CfrzTEQD/bAYDhTGPDhgfya1CBoPuVhmrMpz41PR2vziYoDIl2880345lnnsFDDz2kdL+33HILo1wbHx/H8uXLce2112JkZETpd+WFer2OjRs34pprroFte0vhR342iz3Peqt+V1zxDixdnK7W5/C4g03bvU617JQTsXbtqczfrV/UsOMhr97z/LFLcP4qvq718+fq2LrHUwqee+5ZuPKC84Xb9sLOBp7c7T3gn/6m1Vh7eTQJmyd+8nAV29/w2O23XvIWnHla9DHafaCJR3fOAACWrTgVQ/0GXiLbvvVinHFq9Lav7W/isbltl684DWvXnBH52XrDxd3bPA/Cxccvwtq1a/2/hfSrnf9nBode9YizNe+6tiWd3/5aA0/9IHmS9Y7LxzquRHvpBzM48prX5muuvV7aP+vRb01huu5ioK/CHKcovHjXNI6+7ikXrr/+BpRKBl7c1cCjO73jtHr1aVj79lGptuSBh3Z5nmaVvkGu308g2zf2H3bwyHe8MeekpSuw9oY3M59/+rvTODLjoGQCv/5rN3C3hxdbXmzgqR977R494yysecsFAICtfz+NY7MOyhbwa7/GfxzSYve/zeDQDq8fX/XOazEyaGL3wSYefMW71k9bsQxrr1klvf+fP1vHM/u8sfiss8/F28+/UHpfxyYd3Dt3v1h60gmR/cVxXdzzojf+jCw4jvncY38zhamai8F+O3T7PMach56q41d7vWM0dsE5eNvZY8zft901jfHXHbgwce11N7TKjX65rY5fvu5td/bZo7j6onOVtEcEm56o4cWD3j36grGLMPbm+GOy90cz2DPu9bd3rbkKi4bnh4nVkQkHD7zs9d0TT1yKa65Z3roPvrzXaI3fo102fkchy+to349nceBF7zn0HVetwYu7mq3r59xzz8YV510g3N5eQdjzlYYYXv7hDI7s8mVnJ54wJPRs0ovQ/UpDNeZjnyJVi0koBIn2kY98BD/+8Y/xwAMPYNmyZbGfPemkk7B//37mvf379+Okk04K/XylUkGlUml737btnusM9G+ybd8I1jAt2CmNWByqRLCvbLYdu/6K//em0/736P365RH9lZLUOemjTq/Id3cartEA4BFhlbIV285KxQTgTY5d14QLn/jpq4htG/dZ2mDaKoV/lu1XVZAyN69feROrM06zsHC4GlsWsmjYwBmn9cHkceVXCNvyJwgm1WZREP8pyzK4+phtmSClQYZpw7YNNKnyNdn+nhe80l0XjSaE2i3bNwb7/bGh0Ww/5qQyqGLznQ9RlMtUew3/XJGkxUo5m++NQl/Zv/YcWLDtEkxKBmfb6fpTpewC8Ca4LlKOo6Z/Pyjb8fuySlNoND1VGv054j8WdX7zGHMaVJ3QQF/7ONxX9q957xx5Y41LlQhWyvlc95UyZSfAcX6bjt/f+vts6XGz2zDQ558r+nnCtm3G33Kgv7vG7yhkeR2VqedQGBaoxxhUUo5XvYJenIt0CmXqeRQARgZ1nyLQ/UpDNeZTn+L9nbk+Fbmui4985CP413/9V9x3331YuXJl4jaXXnopNm3axLy3ceNGXHrppVk1syshmtCYBNrjphySSkWre2oCZdO0z4psahm9XZHTOZsCCZvBcAAmGj7hQVYkWIAl0eI/G7dv0zTwgTXx5dHvXzPQcQINUJc6SM4Br4E7e6y845x1omSWIDx8oxH/uSBk+0a57L8OS/yNSwtWAabfUNeu/72dPX/lkDG2wYwL6fZPp3umDuGg+khSYAy5noKBFUnHOY8xp8aZzgmwSY516njkls4pOA425qkJPP1b2xJj6WCBHknnzPI6CoY0sCnjwrvT0GAQfBYb1qECGhoaHUSuJNrNN9+M733ve7jzzjsxPDyMffv2Yd++fZiZmWl95sYbb8Qtt9zS+vfHPvYx3H333fjyl7+MF154AX/2Z3+GJ554Ah/5yEfy+AmFhWhCYxLoSWwlZNJKTyjCJrxRoCPkZcVy7INacc2PRRI2g7+pQW+b8PAZTPaMAzMJ55go0Z8J7ntstIyb1g22/bZFwwZuWjeIsdEy8kBc2poIiAqBd0JZCiGyqwlkdJFBfrdoOifg942gf1hc30gi5ltKpYyOY1TCMSFSyh3WcTNjbI2EZYiR4HFgfm/KREt6HLYT2tVKsaWIJsdxW9dM2P2GgPSrkUG2D2Q15sjeB2kyppwXiSaYvsqkc84jwoNOIm1P5/Rf9wqJBvjX0cJhtdcRTaDXG8GU8d45fhr5IDguDQ3MD7WshoZGMZBrOec3vvENAMBVV13FvP93f/d3+M3f/E0AwK5du2BSS+SXXXYZ7rzzTtx222249dZbsXr1aqxfvz42jGA+Io7skEE1QUFToZ6xaiIkmgIlGrtyLLWLjqApsAobVA049LZJBJyA4kCE2At+JmzfY6NljAxO48iEi74y8Hv/aQirl1m5KNAIwhRhMiCTfN4V9LBjVUuYhBcZ5IG10fBUxKIppxe82UbJ9CamfdYsfve9C2NLhKySAdMEHCdJiZZN36LPHyFQXddtkXedJkFZUtFrT0NAoZoEVnmXalfMOJykRCOLJ3VG7ef/Pen8jo2WsWpZCZ/8uudhseJEE39840gmY07ifZC6pmsMiea/b+X01CU6DtLE33wi0ejjFFwwmO1BJRrB2GgZ56+2sX13A+OTLkaGjNT3bjuwgMUo6udRn9LIBsGF36GB3romNTQ0io1cSTTXTX6Qu//++9vee9/73of3ve99GbSod6BaiZZUxsKuwAvsl16hlyQVbGbluLhKNGZlP+HBNKiCYVUBCeWcAsorkRLTYLvCjrXrupic8d4/bsTE6Ir8mSKWUJbbh+O4IPNOi3OxM0zZI0IOFA2E5HbhEVuik6Bqze+Pg+UZrF6+OHGCVrENzFTdNmK+0XThzI1rWSnCrJB+U294v5+0rZOgx0dCIDYFFKpJYK7tlPcMthQw6Xt9rz0ChmzmICsGB8wW4eq6yIy0r9X474M1ijijCSk7p9JIUYuHBlW+LkqYdzMMw4Btedd6sHS9WhXrl90G0zSU3rNpAr3RcBnyNm35uYZGUOU8rJVoGhoaHYQecXoUqksc2TKWJE80ASUavUIvOblQ7f+WFUQmvEEloYhirCRQlkXvl4ccSvLVqdb8czo8WIzhpaTA64k5TpyKyTDyjp6Ed5snGj2m1CWO48S0fxDLFh/TTogj2osISB6PVIBVonXue6MQVt4qSoLHQaQMPAmMB1hCu3yFY7vvHMBHNpuGgaE5P5yJ6ewWUqoJ5F4lpOQWUGNbkBaiC2vkfMwnFRpBq8Q4cB3M9LASLQvYgXuGyGKghkYSgs9iQ9oTTUNDo4MoxixXQzlUmakTsEq09r+H+fXwgPGKkZyU0uUxQSPgIkGsnNN/3XCChrxJwQL8yitRo98kXx2aKBkuiLSeVdjI9Q9WRci3TRh5J0oOFAnMcZS4zmhyo1yqxXzSByElgp5otGl7VmWVdF8n5dTVhHEwS4T5bYmS4HFQWc7JKNESSCOicKxHKdE4jzMZbyZnXC6VuwwS74NlI/SzjBKtEJ5oHOWcc+cjr/bmiVbYRVCJpkk0ITALnG2eaDk0SKOn0BYsUJBnTg0NjfkBfRvrUYiaCCchqQwtygsmCWxqmUzLWKVD1yjRkhI2AxMe2VACIU80nmCBBF8dmigpirReRTmnCIkZ9rlGK52zez3R6Mm0jBJtnCJYKyU+JRoh0YKeaJ1RorWPKzR513ElWrmdRFOZdlcSGDeSIKI4IeOV43hl04CnaCXgJZvJBKrRZA3gVYK5D4aQS5WQklsgSKJl0rREiJKkpG/NRyUaGeuCSjTGE62iJ+xJCIY0qFTOamgE7y06WEBDQ6OT0CNOj0KVmTpBUhmarCeaihV65kGtwEo0kbQz0wDI0Wg47MNn0raMii1BccAY/XKMBkmls+MFVKKp8AeUSaoLV6L573W1Ek2i3G9iik4oFCvnbAaugSRFkAqEkdF5KgnLIQsVoiR4HNhrO206p/86iTRifJNCFJu8ZCVdyjM+pUB+HQJy3A2E/65ySMktEFwsyssTzX/N43lH/MB4y9d7Ca0S47Z0TlqJ1sEGdSnoBc664GKghkYS2tI5dTmnhoZGB6FvYz0K1T5hSWVMsp5oNQUr9KbhpfgBRVei8ZvqGobRUoY4TTEVm0Edj2QlmlgCW5K/GE2UFFOJJkcOiJCYYZ8LI2G6zxONLs0R357xRBNUogHsseuIEi2EVMpTSVgJWagQJcHjoDKMhk125A9Rqac4znQyW1a+aK1E2HK42X5Uf6UXd3JL5xQcB0mfD5p3zwf45ZzRSrReDBZQDdYCQO4+qqERBZrg7yvPz9JzDQ2N/FCMWa6GcmSZzhk2abUjyliSQK/Qh5XH8IIQcMX2RPNf85jqllqr4WxyHZd3GSHREj3R6G0E0zlDyzkpJdpgMR5oWGWe3D7Y489Zzmm2T1pFUweLBJrkrsso0WhPNIuv3q5cbieOAFblk5UiLGwMzVOJxixU1IgSTV3aHUuQq1OiJU2WbaudnJU5zsMMiZaVEs37fxRxW45YTGKCBXIqYxN9JqjPYyWaX87Jvk/KjG2L734538FaALjCzxsaGnEoGey8xFFQdaOhoaHBC02i9ShUJq0ByWVopmG0FGpinmhqVuj9NC35fWQN0VIG8pDZdAKTZQ4SjRyPpHPfFCxTNBN8dSYpomSkIEo0VhEmGywgvoJeYsofvf/naUyfFnkr0ehxJYnUV4GwMZQm7zqtJCyHLFSoTLtjlEppPdEEyvTDlWj+e7zHebifJtEyVqJFtInHEy2vMm6RZwLHcUGGyvmoGCK/2XXZe8ZM1XutQwX4YAXugSIJ5RoacdiyrYafPFJt/fvYlItbv3kMW7ZlZIipoaGhEUAxZrkayqEyaQ3gm7T6JuD8+22tdpc8Ik4WFqXaKirotplcJBrZzj+HhsF3nFrbJkyGG4JKFiaxMGTfNFEyVBhPtPTXgqiK0PteanuHJQesUvetxLMm0emUaLzBAmHEUfB1VmRkWMIx870dnkiHEYoqPYZUKDYJ6gLkfBg5K6NEY8o5M/ZES7oHAux9kFZc50VKWSFBGVFoFEA5lyfCfPoAP51Tk2h8YI5jwxVKKNfQiMKWbTXcsX6qRWoTHJ1wccf6KU2kaWhodASaROtRiCQ08oCdPIZ/hkx2ZJRoaUo5AV/tEIykLxLIeSiZ4X46QZBz2HR8Q15RFZSIEo2nTDHJfLyY6Zz+604GC1ghqaBJSpYigzGJlrjOiErRLgElk4+lqUQYtXdCERZUUXjfm58nWlh4i8pJqQrFJkFDwBPNDiFn2bJnvu+kyzknZ9QvpjiO2+r3UcRtOaTkFgh6xClvGhdExkFVCvFuBe0DR6tuZzWJJgSbUZmy/c7qskUkjWLAcVzctWk69jPf3zStSzs1NDQyRzFmuRrKEWaKnQY8k1YyqRTxRCOTpbQP6t2gRCMTXt7Jbqucs+n/Ll61CV0KGtsm4RLT8G0JCIlmlYqTXiaSVhqFBkNWyCjRvP/7ShapZuSK9Eo07yAMDRjgFZ0yxBFFSnTCmyxMSZhnumqoEk2hx5BK9bJQOmdICI7Mcc5aicZ1D2Q8/GgSzfu/bfEtoGQBkXJOlWXC3QhWieYdq3rDX8zqq8y/YyKDoBJN1NtVQyOI7bsbODoRP34dmXCxfXeBV9Q1NDR6AppE61GoDhYgEwLTjH6o9pVogOPyTbJbK/tplWhd5InGuwLbUpM5lIqNc0LTUrElHA82LUswWCBUieY1dHjAyG2yGISlwOuJmVTyEpkhx4oQQd2oREuT+Ou4botgHRYo8+XyRMtIFWKaPtlHriNaXVQITzRa2ZFyUqpCsUkgnc7ZCEvnlAkWUL+YwkPc0ueI/g2tpMscTfrDypOjQAeHzOd0TsAvTaaJXa1E40PwOLJp4PoYaohjfJJvbOf9nIaGhoYsNInWo1AdLJDkBRP8W53TF63emlzItw2glWj8BF6nQYgHfiUa2c5tTeL5lWhz2yZI2tm0LJ79Rk/EGKJksDhDC5s6KLcP5uGfs68Gj5XruonpfkUGk84pmII7PeOCXJYiXnkMKUF9Z6cCGloptwVI5zRNo3UOaqHlnGmDBfzXStM5E64XO8R/ilYd8h7nim2gZHg7yCKdk6eUN8oTjWyb9j6XBiILa3QJ47xM5wzx6ZulCfSCqKyLDrvNE83/W1oPR435iZEhvvGI93MaGhoastC3sR6FJbDqzANfQRP9Gdazh1OJNjfRsFNOSOkHfRVBClmgKViS2UrYpNI5eVdv/XTOhDYJpn6yE232bzRRIqI2yholBV5PDYmyOStwrDyC1/v3fFOijTNeeXJKNJqUqHYoJTNYJp6nJxrg95tqBsECpmGAdO2kQJIkNBglE78SLa33XNnyOkZeSjSrhJZ6kVWief/P06Q/SUVMozHflWghpes0sauVaHzQ6ZwaqrF6mYWFw/HX36JhA6uXzUMzRw0NjY5Ck2g9ilLIxCQNeBQ0lYhSlig0m26LVEj7oG4r/r1ZQLQkk0yKHcdfDeedKJvc5Zz09/GnfgLthNR4AUMFAPZ3yfYNmWCBElNG6uZOwKSFyCQ8CFoZNNwvokQLN2qvSSiVZBD0FszTEw3wx1/fE01t2l2Jc9xIApNGmeSJRi2AtMo5qe1FjnO55KWyTU67yo2leTzRDMMI9QYlvytPk36hcs55rkQLWzCYpQL/NInGh2CpNpNQrg+hhgRM08AH1gzEfub9awZg6g6moaGRMYoz09VQCpVJa4A/IYgj0cLS4+JAT5TSesWETcSKBjIxlSFhSCkb70SZ+Ha5QOxksinoqRSnRmKIkgIp0VQk1TYEveOAYKBB/gRMWlgp0jknpvzjJ1LOGWXUXu0QIRkklaoSXl0qUQ4QNKxXX/r2tMpXU5dzCqRzhiyAyB7ncsm7yFyoT+hkE6qT74M06eYHCxRDiZZEkrLnL6MGFRgs+eP9ny3n7L7xOw8EnxfolPGieKZqdB/GRsu4ad1gmyJt0bCBm9YNYmxU11traGhkD6137VGYCpPWmk0/lSqunJN+sORRotFkV1pSIawkqGgg/mTcvmYhD/K8pYSlwMNrOeI7G4JKljhfHZooKZQSjVaESZIDTSklGrW90xkz/Cxhp0jnDBKsVc7toozaZYznZeB7ooWUc+ZwDltKtJrnsae6PMq7VtzUFgBC6ZwB3ySAVRraAiRpxfKZq4lpFyOD/NsmgZe49c6R2/q84/jHM09PNJPxhoy/fmmSPM8S1Lxgh6Rz0uWc/V04fueB4D1D1NJCQyMKY6NlnL/axvbdDYxPuhgZ8ko4tQJNQ0OjU9AkWo9ChfqGgFcVUKZ6E48nGk2ipZ1c2F2kRONO2Ax50OQlcCxOE2nWU4mjnDPGfJwmSkYGi/MgoyJYQJRsBAK+hE2XVbJ04chrhZht82Ii4In2Bud2PJ5oWar6rDlSKUwhlWWgQRTIb3XhER2qyzmDHnCyaMimcwaOc9n2vNp4Qco5ATIeqZNR1Tj7XDlQcltXqLhOA8MwUDK9MT/J845RonXhWJUWYYtyVaqcsxsXQfJAUL0sammhoREH0zQwuqILvTE0NDR6Ano9qEfBlpKlmxAxE1aOMhaAV4nmv05dzllwJRqtGuFXorUfE5lt41QHjCcalxItWuE4UVRPNLpvKAgW4C7nDJRP1TiMyYsMejJdT6FEG5L1RAtRohnIVt0TLG8kRIpV4leFqkTQd1KUBE9C0ANOFnUB5SabhMgeZ1GVYZlWok2pXUyhlUjxtgbe/+sNT4VWL5BJv1+ezK9E4x3vegmhnmjU+KM90fgQDGhoJZQX5/FAQ0NDQ0NDCvpW1qOwGFPzdPviLZ1iVCO1yI/5+1WoRAsrCSoSHMZ7TNxTq/WeDIETq0QT8/piyMrAfieL6ommoLS5KeERZAXIOx5j8iLDVqREE/JEo0ijME+0cjlbbx1yvfnBAkQhlc/5CyYgywRexEFVsACrRIv/LDvR9v4ve5yJJxrAErcqIHMfrNWLo0QD/LEw6ZmASeech0o0pgyxQco5/ff6Kt03fucBc079CMx5ojVJyniOjdLQ0NDQ0FAATaL1KFSUsBHwljDRKrUaB5HVUDi5sENKgooEerIr44kmvC2nElG0XXEKt+5QosntQ0qJFiDveI3Ji4qgqkAEE1NySrQgIRF8nTUZGSSVCJGSV7pqsLyVJsFVqDuCHnCyINcLj4E4W/LFes+JHudywBNNJWoNzvtgkOhkFovyve55SVKZ8a6XEKpEq9JKtE63qHtB7huNBq3Gn399SkNDQ0Ojt1Ccma6GUqgwUyfgVdAES40S90tPSlKXc7YbARcJzGSXW8nUfkz4VVB8SkRRY/LYYAFJtVHWoI+ZI9k3GhIG7kHyrsZpTF5UxCWzJoH0jf6KIUQkBAmJ4OusFWHEW9BxAcd1WyV9uSnRKPK1XncDgRfp20T2kbYknpBhPONVMJ3TdX3Vpi14nCttnmjqUJW8D7Ip1EqbJAxfFRQ/DqpWOHYbbKZ03fs/Xc6pPdH4QcaUepP2hc2xQRoaGhoaGgowD4X68wOMEklhOSePoTLATjiiUFc4uWAeegVLzToBVvHVgXJORokW/TnGmFxRsEBfOX/FBQ06rUmWHBAxSiegz4HTdDtmhp8V2GtM1BPN+7xoma9teb5nLlgSzVcqZa1EY9WEhBDJqxw3WN7KeqKl37+vREu3H3Kd8YwDViAJsd7wzjcg4YlWylCJVpO5DwaIztyVaHzpq/UCqefyQNiiHF3OqdM5+UFI8kbDFU4o19DQ0NDQKCr0raxHYcWQHaLgTedkSq9qHEq0uroH9eIr0fzXvCv7qYIFaAInpjRLdBJuxRBSxMh7eLBYw4qKpFqZ8xdUbvEakxcVskq0RtPFTFWORDMMo1U6R8YUx3FbRHnWCZn0NVGruy1vw7xI0LZyTmqsM1WQaHN923Xjx40k1AW8j5hS/Ab//SYMbDmnaiUanxKpzRONulbyDhawpMo5s2tPURHm0zdb00o0GRDiuEEp0eZjibCGhoaGRm+hWLNdDWUwTQPkMUWtEi36c1GlV1GoqwwWoEuCCqhEk/EuShcswGemL2qYHxVY0Gi6mJYkSrIGW4Iqm84pHiwQLH3t9nTOYNkdLxivPAmClRwrouTrZEAD3d+nqzS5k+nXRiKYVtpoeQypCVhgfPxS3DfIGMyjvAoq0Xg9OMNgGi4GKt5r5Uo0CW/Qat0tlKqL1/NORnnbSwhLjGWCBTSJxg1yv6w3xRPKNTQ0NDQ0igp9K+thkAmgkzpYwH+t0hONLrtM7YlGbV8vohKNLufknJSEkTWWBAEXR3iIlplGlXMWNVQASOflRdCUKcdlfOncgMJGrh15grnGBMo5J1KmtpIxh4wp1Q6SkXTfmZ7NnwRtLxVUm3ZnSRKlQRDSmUd5FfzOGkVWyJCkxI+RDrNQAZn7YDuJprRJwihxet4x6rl5aPphxXiimcb8PCayIMQxfV3zPgNpaGhoaGgUFcWa7WooBSE80pY3ynnBJO+XmVyknJTKqmQ6BZaE4dsmjKzhDyWgvpu3nJMrWCBcqUITJSMFVqI5kvPqukR5U5DI7KSCKgtIK9Gm0hGsRPVDyLNOBjTQ53CmACRacKFCddqdCtUm4F8vPEo0O0DOpiVJCVE7WxP37ouDjDdorR70/iyKEs0LcIiCVqK1L7yQcvy+sqFE9TlfQO6XdG/TwQIaGhoaGt0OTaL1MMjEKq1JtIwXDF85p/86rVcMUxKkcOKkCg2HnpTwbRP2oMkfLMCnvmKCBSRUIwRpiZIsUVLgl8eWvYorCR2nswqqLGCaaJWIi6g9VSnR6o25hMwOHke670zNdo68i0JwoUJ12h1vGXgcHMf3juMZ69qUaClJUrqPqSzp5C0zZe6DtWIp0eixK25BgfFEm4eqK7ZPeudvdk5JVSnn0KAuRmjKeLEeETQ0NDQ0NIShb2U9DKulREu3H14vGJpg4ynnrCn0iqEfeutFV6JJpDvGvRe6LaeZPmOYz1POGaFUYYiSwWIRREFvMhkwZa/cSjSWvKtxktFFhWEYrQm1iO9g2lLfcplV9tQ6mHLKKNGq+ZOgwfAWMsFX5TGk+lqxOcY6O7AAkpYkHWJINHUlnaTf2RZgxiiRKgHfOnaxqBhKNCD+/NbnuRKNsQCYO3+zlBJNgx9hC6S6nFNDQ0NDo9uhSbQeBq+JcBLo0sw477JywAsmCQ2mnFOqaf72BVeiiaZgAhEruBLJnnHprKLkkGEYrRRAmhgstiea/1pWiSYVLBAgMtMYphcFdstTSVKJJkGwBkmJNOmNoqDP9fRs5743CsExttlSfKlpj4qUY1qlyKNiCi6ApC17Hu6nSLQp9Uq0JGIveI7o45jWtiAtSpxjYWOee6LZgXRO1/X7ZV9FE0AiCCvp1sECGhoaGhrdDn0r62EQIkW2LIegxjlpLZlGa0JU4/BEq6kMFii8JxpdNplGicZZSsipOEiTGhrliVa0dE46qVZWXdNkPNF4gwX8154Szf93N3qiAT4pUhdRoinyRAM8UqKTZCR9vdHpnOWc1ChBQlF5OSc9bkiOo7RKkedaYa6ToBJN4jgPUX1MrRLNa1fStcucowZ7n0trW5AWvOmrDYny9V5CkExuOP6J00o0MYQtOmlPNA0NDQ2Nbocm0XoYYWSHDNhJTfxnySo9nyeaOq8YRs1QQCUa4zEjUZLZ2lZCBRWnOCATZdMEt1myFaJGmiywEg3wj4c0MSChRDMNA+SQ0ko0w1CXpthphJ37JKQNnagEjNo7SUaWIpVomX5tJNo80Ry15Zy8gSRxoJVoPKSRaRiM9UDRPdGSiNtysOSWLo3MOViAd7GpzhCh2bWnqGDSORtAU5No0giz6lAVhKKhoaGhoZEXijfb1VAGmQlvGEQmrWTSw+OJpjK1jCnnLKISjVZ8SXhq+e9xblviUxw0BQzAg21glWgUiVYwTzSAJtHErwXHcTE5I3cNWRR5R1JuKzY/YVk02Ck80QwDGOgX/93lgFF7lTMtWAXYdE6/wxfCE63utsY6VR5DpoJgAUaJxjmuk+uk3nRZ+wAZTzS6nFOREs11XdSIsXzSPbBME50BT7ScSyN501eZEtScib88EEznpJVo3ehnmSfCni3mIzGroaGhodFb0CRaDyMLJVrSBKKlRKuJKtFUlnMWT4nGBAtwrsKGkW0m77acZVm+MTn/8Q8jpMbnJquGAQz2FW+SQX5fQ/Ba2LKthlu/eQz7D/sb3vrNY9iyrcb5vd7/m02X21OpyCDEvFg6p/fZoX4j1pA9CkHiqJMBDXRZVyE80SglMO2JlkWwgOxiRENQiQZQCz4Nn2wGJD3RMlCi1RsA2ZOIJ5oXLECRvjkTUrzpq4xyeh4SHhbjieai4fhvaCWaGLQnmoaGhoZGLyLXW9kDDzyAd7/73Tj55JNhGAbWr18f+/n7778fhmG0/bdv377ONLjLQMgOx/FW0mXRKkND8ko6mfTU6snfWWc80aSbByDoYZJuX1mACRYQnFiy7/FuS393TDmnlBLNYLYFfN+roX6Dm+jrJCyJcs4t22q4Y/0Ujk6wx+/ohIs71k9xEWlk0tpwfEVnt/qhAWziL8+Y4rpuSw0k65WXryea/3q6YOmcdFqoumAB/7V0OWdqJVq648yQaFNqlGgiJaaVQMktnRbNE7SQJbgXV5h0zgwbVFAEyWTtiSYPnc6poaGhodGLyJVEm5qawvnnn4+//uu/Ftpu27Zt2Lt3b+u/JUuWZNTC7gaviXASiDKgzFGGRiY9jptMZtUUKtFsxsOkeEo0Wp0hauDPvMcdSsBHKhI1mSkwEpQoIgVQQ5RkDdGkWsdxcdem6djPfH/TNJyE/flKNP50vyKDXKeu65HzSajWfFJleFDudqM90XxYJT8dl26POiVa+sUIGf9A0q9UeKL19wHkZ6hSookQe+WAcrJObWvnTB4wiu2YsYsQf1ape0vP08AwjNYzRZsnmk7nFIJWomloaGho9CJyXRe94YYbcMMNNwhvt2TJEixcuJDrs9VqFdVqtfXv8fFxAEC9Xke9zhEh2QUgvyP4e0zTf0iena1Llz7Rk/+kY2Zb/ndOTdcxGOOBVKtRs3C3jno9xcOp6++rVncKd25rlBzBAGf73PZZrOE2hbet16O3aXkqme39J6pf0SWK9Xod1Zrv+zPYn9xH8kCwzUnY/lqjTYEWxJEJFy+8OovVy6OHUfK99YbvX1W2+NpQRNBjygzHmHJk3L8uB/vYcZf3GJRMfx/Tsw3MVv1/l4wmsjyUBujvpkirjL83DhUbmKmy7TENNX2K/r21WkPqN85WfSmaafCNdYSsrDdczFDn1zSaDAkVB/I9zUYDQwMGxqc8cl/FcZma8dtkJ1y/Bqj7bs1hPN6ABup1dYmhoqDbVq02Io9tfa7u3SrxX6e9BqvkEWiNhosGJaeyS5z3YA0AgIn2/m5wjgu9DNH7oIYGD3S/0lCN+dineH9rzsUFcrjgggtQrVZxzjnn4M/+7M9w+eWXR3729ttvx2c+85m29++55x4MDAxk2cyOY+PGjcy/Dx86B8BxAIC7f7YRdknADZzCxNTbAJTRqE9jw4bNsZ89fOhMACd433nPfei3q5GffePwhQCGYMDB3Xf/VKptBPWmBeAyAMDefQexYcMzqfanGruOLAWwGgDw7DO/wrHd+xO3OTC5CMC5zHvPPPMUjrx2gGPb4wCcAwB47vkXUTu4K/Rzs7OXArAxOzMVeW6D/Wpq0jtvtYaDDRs2YLrWB+ASAMDk0b3YsOGFxPZ1GjMzbwEwgNlqAxs2bEj8/J7xEwCcmfi5zQ9vwfaRg5F/r85eDKAfkzNNEOHv+LFD2LDhfq52Fw1HDp0N4HgAwE9/thHlhDHlyMwwgDEAwKEDO7Fhw47W34L9Kgp7jvnnYutTz2KiOghgKQDg5489hOf7poR+gwhePXwygFUAwJzDxx59AM9UZjL73jg4zbcCqDDteeONA9iw4dnU+95xaDmAlQCAXzz+JHa+cEh4H/TY8/KO7dhwLHzsoTE9OQZgGPW6g9d27wOwGADw0AP3oc/m8x8k2LhxI9yGN0Ydm2ziJz/ZgLRiqqMzQwAuBADsfZ3tx2EwjcvhuCUcOjyOmYlZkN/zwOb70GeJ/R6V2Ln/dADLAAAPPfwonhsYD/3c+IQ3bjnNGtd42YtoNrznnompGSyu+CTatud/hck9yfdgDQ87Di0DcDrz3is7XsKG8Z35NKhg4L0PamiIQPcrDdWYT31qejq+Eomgq0i0pUuX4pvf/Cbe8pa3oFqt4m//9m9x1VVX4ec//zkuvPDC0G1uueUWfPzjH2/9e3x8HMuXL8e1116LkZGRTjU9U9TrdWzcuBHXXHMNbNuvf9n9bzN4Y4cnf3nn1e/CiGQ51b3/7yQAYOHIINauXRv72UN3z2L/c97E+vK3vxMnHRf9nb/8zhQmqi4qZTNxv0mo1V3cu92bTC9adELq/anG5i01PLvfmzyNjZ2Hi89MrlN6YWcDT+6eZd67cOx8XHRG8rbPv+pv+6ZVq7H2snNCP3ffjknAARaMDLUds6h+9ew/TmNivwO43nl7ZU8Tm1/2CIU3v+kUrL2afWAuAp76h2lMveHAMC2uvrH9tQae+sFs4ufecflYrBJty3emMH3Yhev618HJSxcXrn/yYs+/z+DgS96YctVV78LC4fgx5ekdDTy20zuO5561Ete9dTSyX0XhVy818NS/e/tY9eazsOegg93HvDFmzdVvxwkLs6sNevCpOp7f5C0E0OfwXWvegeNG8qlJeuL/N4WDR4N9agnWrj019b43PVHDiwe9ceqCsYsw9mbxR4StL/pjz1lnvhnvujh87KHxwj9NY3yvAxcmFhx3IvZPen3shuvXoJ+zfI7uVy//WwPbdjXhuCauftcN3PuIwvbXGnh0rh+/edVpWHvlaOznH9w5ickZoNI3jOMWLWj9nuuvXYOBHINXGg9W8erj3grrJZe8DW9eEX5+H75jCjN1F4MDla4dq9Lisb+ZQm3ChWX3MZ5ol7zlApy/uqsenXPF/b+s4cX7WeL4jDNW47q3np1Ti4oB0fughgYPdL/SUI352KdI1WISuupJYHR0FKOj/sPrZZddhh07duArX/kKvvvd74ZuU6lUUKlU2t63bbvnOkPwN1mlKgDv4d00bdi2+KTPcf1Svb6ykXjM+ip1AI25bUuwY5II6g0DgIuynbzfJJSoMtKmg8KdWxd+eWXZtrjaVym3v1cui2/rohS5jR8sEH0O2voV8cUCUCpZmKHS9BYMR39XniDG680mX9844zQLC4ersSWdi4YNnHFaX2yQQqlkAmDLcvsqxTxGPCjb/pgC04KdEL84TZXmLRhi+y7vGDzQ779uNE0mGXSwX25c40XZDi+9GxzI9nvj0Fdu71O2ZSrpU2Xb368LuX26hn9+ePu6dyy9Yz1DiZcHB2yh5GBvXzZGhlyQYzRbL2FkKJ07Ph1G29+X/JvKtgnMOKg1gEbTb/9Av53a/zMNbLsBYK5MwYi+l5DQActKf2/uVnjnyUWzCTSpdM7BAb57sIaHStkBwJJott2990DV6MW5iEb+0P1KQzXmU5/i/Z1db+95ySWX4KWXXsq7GYWEiqQ12sS7zOGpRhtB1xK8bEgAgIpkOdPwDbeLns7Jn7Apn85JBxA0m+HnwXXd1mSJNzE02K5GkzXvHh4o5pDSSqp1PWI4CaZp4ANr4su9379mIDGJNOx85WVKrwLMueeoDieBEwAwPCh3nbNph27AeD5bQiLqesszYTUskVRV2h19fmXDaNhkR7F0TsD3erNKECbQCNiEzvThAlVqoYAnGIRc49W6W6ikS95nAhIOkcCR9zToJGKdzimPsD5vFfMxQUNDQ0NDgxtdfyvbunUrli5dmnczColSgOyQgeiElZ5gVBOsXwiJVlakh7Qpc+qigSay+BM2w94T3zZqMuy4aNlMi6RlBffNECWFTeekSUW+bcZGy7hp3WBb/1w0bOCmdYMYGw2RCrZ9b/t73ZzOadEpuBHkLA2awBiRJFjLAWKeTUqU2iU3wq43w8iXDAkbh9Wlc/qvea+TIKgMFeF0TsA38U9znYzQJNp0eiN/4fvgHNFSqwG1ObK5CEmXvONgvdXm7h2r0oIorusBEk02oGm+IjSdcx6TsxoaGhoavYFcyzknJycZFdkrr7yCrVu34rjjjsOKFStwyy234PXXX8c//MM/AAC++tWvYuXKlTj77LMxOzuLv/3bv8V9992He+65J6+fUGjwEClJEJ2wBlUjcSAP6rYiUsGyDG/lv4hKNKpNvBPesAdN3odPRnEQQXY0mcku/zmwAio3migpqhKNVWAAvNzL2GgZP310Brv2exfQ/+d9gzjzNDtRgUYQRpjmqWJKCzuNEk2SYGXHFF8da1vgPg+yCLveKna+ZEiYIlgVqVdSoF6mlVe8pYt0+2fnFl/SKDbpcYhWyspC9j7oApipksWi/K/7UmAcDIPjuCCn3uoqww+1IItyrgs0mv6B6NckmhDC1IyyClMNDQ0NDY2iINdHpCeeeALvfOc7W/8mAQAf/vCH8Z3vfAd79+7Frl1+sletVsMnPvEJvP766xgYGMB5552He++9l9mHhg+ekr4k0OWcfEo0etvo73Qct/UQH2ObJgS//KJ4SrSGQyvR+LYJe9DkJuCobaNIRXoSJaJkMYNKtBmKRJMs2csarMLGBcDXTsd1sfeQd6CWLDJx9unJ6rOo7yXo6nJO6lrluc5UlPrSiiRaidYJRV8RlYShSjRFiiGecSMJDQklWhiJn+Y40+OQGiWa/5rnPkh/hijrikBI0f056vqlz5+tlWgAgFrTH7T7UoZUzDdoJZqGhoaGRi8i18e6q666Cm6MP9F3vvMd5t+f+tSn8KlPfSrjVvUOLBVKNGEvGD4lWo1Ssahaofce+P0ghCKBUX1xrsKGeonwloJyKA5kSkyD7Wo0XUxM0WqjYirRSpJeT4eOOq3+tHSx+JN/2DnMm4RJA7r/8VxnhESzrfCgDB4wY0rN90TrhKIv7HrLW0kY6omm6LILKjZlUJfwRAtbSElznLNVooktJlVbysn8r3sez7t6gTzc8gT922kSrZsXQfJAmucYDQ0NDQ2NoqKYM14NJSgFyA4ZpPFEo1fvg6hLlPwkgaz0F1OJ5r/mVqKFPGjKlIJGqRBpxYHIyjDjq+P4k1SrBPRJEiVZg1Vg8G/3+hv+h0+RINF6rpxTWInmdfzhAVO6BDLKEy1rPzRgHirROMaNJDBKJs5lOuVKNCZYQLEnGlfATvtnimDSz2PxwCgJC0D85QX6uaTW8Aabsp19CXmvIez5ThXpr6GhoaGhkRf0rayHIau+oZGVJxqtYlFVzklKT4roieY0xVf3Q4MFeNPuzORzT3seiaRlsUo0migxcjfOjoJsUu2eg35nOvkECRKtgCRMGgSTWePguG6LYB1KEThhmkZrjKjWPbN2oDNkZJQnWp4I6z+q0u5kAjiCaDTFlWiqU2yHcvZECztHRVCi8ZCkdGBIEYi/vED3ybrjDUA6mVMcYde2LufU0NDQ0Oh2aBKth6EiaU3YC4ZSIsV5omWiRKMi6ePKhPMATTjwm9KHvCehRIsiO1glGv85CPrqTM5NUocHizucsP6A/NvtpZRoJ6tSohVUrceDYClvHKZnXJDLMG1qKyElpmacVqJsZzzR1CqkVCBciaZm3zxl4EmgF0h4fcDCFE9pjnPF9hdn8vFEa39P1WJRGvCQpA3m/M1f0oglgL3XOplTHKEkmlbzaWhoaGh0OYo769VIDVn1DQ1hLxi6BIKznLOsKljA4lfJdBr0hJTbbDvkQVPGqDvq3MsGC9DE0MSUn+Q23F/cB2PZpNo9bzit7ZccJz5chimEipDSJwua8E7yRBtXECpAQIgLWlXUCUVYqEIq54l0qCeaonJOVmkoW85JK5k4PdEUH2fDMFp9ToUSrSbsiVZMJRpDgkeWc2olGhBOeupkTnGE9fv57LWnoaGhodEb0CRaD0NF0pqoF0yZN1iAIthUrXbbHOqrvEBPTGTUZP62nCo2DhUiGyzA16bgvo9OUKECXaJE4yUHmk0X+w55B+/E40wpM+Sw45q3kikNRJRok9N04ERaJZr3f5oA7YgSTbFXlwqEKtGUlXP6r2WVaKynFt82qpVogJ/QOTnjwpFcRCKo1sXI29CS2yIo0TgSu+taiQYgIlREk2jCCFeidb4dGhoaGhoaKqFvZT0M1v9Ebh81UU806iGTt5wzCyUavf8igFWiiRNhrfe4QwnCvzttm7zP+q+PTKgjSrKEJVHavP+I0zpGMn5oQFQ5Z3GPUxIYpVKCEm1CoRItjJToiCdaSLML6YmWRTmnpBJNJp0zNMU25X1hZK7PuS4wNZvufiBezllMJRrP4kpDwr+zFxH227UnmjjCxgCdzqmhoaGh0e3QJFoPg1UVyJZz+q/50jnpbXmDBdR6ogHFU6I5EqWTpmkg6NPPS6LRgrWoyTA9iRIq56R2fnSSJtGKO5yUJEqbmVABCT80ICpYQGpXhQBd4lRPIFloL6qRwXTXeNjYU+7AhLaISsIwElaVx1AweVcGMumcYfeAtCQpm9CpRolWMvlKZ8Ou8UKQaBzjIHNvnsdkR9j5Kmr6dJERNgZoJZqGhoaGRrdD38p6GJakmToNtoxFbAWe1xPNVjQptQusRGPKOSVVX0C4T1oYDMPwgxaivG8cuTaVulCJJhMssCdlqAAQlTpY3OOUBCEl2pRKJVr7ex3xRCtgsECYQktVsICKhYiGKiVaSpKUIdFShgsQVTXvtRuqRCuAqsvisHhglGgFKEHNC1qJpgZhY4BO59TQ0NDQ6HZoEq2HwaQoSs4hRMs5rRJa6qlYT7QsyjkLrESTNvEPfFbGu0y5Eo16KD46oY4oyRIyXk8MiSZbzllAEiYN6El1kifahEJPtFAlWgeUPWHXWxHLObPxRJMs56Q90TgvmzDFU9rjTI9HacMFqjVve14VaVGDBXjK/BlPu3msRNOeaGoQRsTqdE4NDQ0NjW7HPF5n7H1YCSbCjuNi++4GxiddjAwZWL3Mghl4uKHLOXkm/4ZhoGIDszWgVuMr51T1oM6kcxZYiSbiM+MRVuKhBK1t6y6nJxr/fml/MaacM2XJXpYQMcQn2DtHotkWsHiBHEsRqrDp5nJO6lpNSufM2hOtM8ECfG3pJMIIRVVjqIxiMwhWica3TdhEW1WwAKBCieb9n7dNYWQLb2lrlmASuyODBSiVeAHanBdC0zkrxb3HFRWmYaBkyj9vaGhoaGhoFBHz+BGp92HSSrTAhGjLthru2jTNKIkWDhv4wJoBjI36xh81wXJOwJtozNbcBE80MYUbD+hymXpBlWgG0EZUxoEmzUzTIylFt+VK5xRpE3Wcp2a6RYkm5vVUq7s4cMT74NLFJaFzxn4v+2/b8iYV3QoxJZr/96EMlGidUIWEXRd5l+OWQ3yZipjO6amSecs5s/BEo5RoijzR+O+B7e8VIenS5BgHtRLNg1aiqYNlAc2a/28R+wgNDQ0NDY0iorizXo3UoMkOhyrN2bKthjvWTzEEGuCV5t2xfgpbtvlPO9UaTXaJ+cHEe6L5r9UFC9B+L8VSohEiS9QLhP5Noqu3ZEIcdSwaCso5aRTbE81/zaOw2Xe4CXfusMn6oXnfyx6TvAmYtGCvsfjPEvVPf8VIfY3n5olWQE+7sO9XNSmVUWwGQQInRMarML+w1Eo0RZ5ozaav5uVd8AkvP5ZugjLwWB40JMpxexFhSjTtiSaHICGpgwU0NDQ0NLod+lbWwwgzEXYcF3dtmo7d7vubplukG6tE4/teMvnhVaJlkc6ZVGrWaRDVlyiJRj9sivqIkAfX6HJOOlhArk0EfeVieP5EQdTrSUUyZ/B7gfxLAdOCUXsmlEwT9Y8KcjWUlOhEOWcB01VDSTRlSjQF6ZxzY6/IeBCm0lLpiTaewhNNNFwHCO+bRVB18YyDdYlgiF5E2G/XJJocgmSsDhbQ0NDQ0Oh2aBKthxFmIrx9d6NNgRbEkQnPKw3wPdGsEn8ZIpn8NJqsAo5GjVGice02EfSkrWhKNBLswJuuSUCfQ2El2tzno8s56c/KJ4YCwPBgsYcSEQUVoCaZM/i9QP6m9GnB+A7GHMdG08V0VR2JFkZKdEIRZhgGUxbfqe+Ng215ZeE0VCmGLEHFZhhUKdHSHuchRUo0xheUk0QJu86L4C/GMw7S7xehzXkhzKdPl3PKIUio62ABDQ0NDY1uR7FnvhqpEFaaMz7JRy6Rz9UEvWAAdsJbjSjprNOpnxko0RqFU6J5/xdXovnHJjiZT9527rsjiEzG6FcoMbT9fBW5lBMQ93pilGiSyZzB7wX4J+FFhc1RDgYEQgUUEKxhk9dOKcKKpiY0DKPtt6ualNJjTJTxfBJanmgplWhpj7NVMjDQ5+0jTTqnjC/o/7+9Ow+Pqrr/B/6eyZ6QIUAIi8QQFsO+94cBFBQEBCmLbVT4slWqWFQWRcGlbK2kFaUtighaKNYasRVFWSQsAYFIIU1kEcMuKgRkyUICZJnz+yPOzb2z5M5yb+ZO8n49j49h5tz9c8/MPfM55zgrZ4RMXXksW12NicZMNADOZ4wNdzIeIamzb1Cvy92EiYiodmAjWi3mrGuOpZ57X4pt5WxdWTx5YJU/8Ja66NJZViHvzun+uqsjfxArM1gmmq0hy9NuV/JGN08flG3ZZa4zDrTrzmnkSQUAZaadO1mK5y9X3jDhoUCDaO8fJO3Pq7+zmHwVrJid0/V5lGf+REdo0Z3T2Ws1cy7t490I2Sj2DUxadY+SZ96Ve92dszIunGWXueJ07DkNzrOtcb+o2JdMNM8nwQkKMjmdVMTf3KkH5ZPyOMvGqiucxSS7c3rHvkGSY6IREVGg40dZLeZsMPW2LYIRo9Io0CDahLYtKr89+56J5mrclaq/tfqF3t0sGX+oykTzcFwz2R3q6a+3wVImGiCE43WQZ2R5OzunTUBloqnExo1bAlcLK09O88ZBHs2I6rjd2jWxQIhidk7X5eSzIWrRwOosK6mmMsLss3H8PSYa4BhHWmZ2BEvdwL2dWODn9XhQrzv7DNDiPNti72ap+hh+rsgnyPHk/rUva7RMNJezc8rHK63LmWhOrld4WN09H76QN8aaTJ7NUE5ERGREbESrxZwNImw2m/DQwMhql0sZGAmz2QQhhNQd05NuaPKsEVeZaPLX9chEK/fygUkvtl/9Pc9EqzomX5Z11nVHOSaaB+t12p3T2FWJcnzA6mPjgmw8tNt8GA/NfruAMRpgfGE2V43HVV22pyITLUqfiQVqLBPNgNmE9nGk5UOp7f72ZmIBq1VIdY0nDXt6zYKqnKHTu88Eb2aoriyr/LchGtHcmH21nJloAJiJpqVgH77HEBERGRE/zmoxV4MId08KRVyM80v/mwci0T0pVFrGlsDkdSZaqfMyemSiBRs5E016sPSwS6YiE837SQmcPRDLG5M8WbfTiQUMnokmn9BBLRNNMamAD+OhAY7nyggNML4wmUzSg3V14w5eL9E6E83JazU0PpF9o7G/x0QDaioTzfNlFYPS+1CnmEzaHJO8Xrru5eQC3oyJBjh2R/Wke6tezKaqRnCXmWgV3n0u1DacnVM78tjneGhERFQbsBGtFnPVdeNyfgUu5Ve+EBtjRtLtVd9q5BkN3owFAygfNFx359R+YgF5Y5y3XXf0InXn9GFMNLPHkxJU/e0s60D+wOvJfjnrkhpImWhqYz0pJhXwNRPNgA0wvgqRxtpzMxNNgwZWI2WiGSGb0D4zWMvsDmlMNC+6c8qzEz3JYrL/ISUsBD51o7aR10teZ6J5+Tlof6970r1VLyaTSXXW5jIdZs4ORPbHbjazAchb8tjnzJxERFQbGPvJl3wib+yQj29z8NuqQV76dQ3DsD4R0r8PHKtKHfN+LJiqv11OLCAfd0Wjh1KjZqJZhYAt6cvTAcDlv4Z7MoOm/bLOM9Gq/vZ5YgENuuzpSR4bamM9aZmJ5tgV0KfVGYKtcaSsmky0Is0z0ZTxVflAW0Njosl2PyQYMGvQuOMrx0w07fbJti5vunPKsxM92SfHhkptjkdeLxV5nYlW9bcvY6KFGqRBqqoRzVV3TmaiAY7HHq5Rw25dJP/81WoSFCIiIn9iI1ot5ioT7aCsoaxXuxC0jQ+G5eeHjaOny3DjVuWXaO/HgnF/YgGzWbtfJoPdGO/FHxRjj3k6w6bsGno6KYEyE83Zfslm5/R5YgFjVyVBXnTnjI40+Xxc9g2OtSETLditTDRZI5oOY6LVZLdY+X1nlO649hlRWmai2dblXXdO+aD07i9nNilns9TqPMvv38JiLTLRvB8TzQiZaEBVXegqI1cxJlodbvCwz6Q0wqy8gSpEkYnmxx0hIiLSCD/OajFnjUp5Vyrww6XKb8ktmwUhNiYIZrMJPdtVjYP29YnKRjavx4KRlZX/ii9X+nMmmpbdRZTdObVbr6/kDZiePpQE+ZCJpjaYvrf7Fex0YgFjP2CojQ9nU1RilR62fe3KCThmMxilEcYXIW6MiVb4c9aPyQREhft+zPbjn9Vkl0p57BilEdQ+jjxtYK+ONCaaygQczsjrXU8bjeSfBZploikmFtBgTDSPJtixn53Tq81rTm3MO0WWuEEa/vzBfkw/jofmPfn3i7qc3UhERLUHG9FqMWfZN4ostPZVT6a92lX9bevSqcVYMK4y0WwP4FqNhwYYORNNnvHl2bK+ZaJVn31V7uV+2WeimQDUizD2F2O18eFstOzKab9dwLNZbo3K9hBU7eycPzdE1oswaTJzpF8z0RQZUjW22WrZNzJpm4lmyzT0fFlvM9EA5cO1VufZSGOieTLRgp6kTEMXjaTMRKtkn4kWXkMTmdRGwcxEIyKiWoYfZ7WYffaNEEJqRDMBUvYZACTeFoSGlspwOHa2HNdvWHHL27FgZF82XY2JVpWJpv1YPoCxxkRTjj3m2fH6MpaIchwwJ/sl72bqw/hF9SK1aSjRk9r4cDYXLms3qQDgeF6N0gjjC1tcVc7e63h/CyGkrB+tMhSDg0zSgPdAzTaiyWPHKI2ges7OKY2ZZXV+faujaIDxsG4P1iHjT4sx0bz+HLS717Ua+9NXtjrJVSZauSwTrS43otk39rA7p/dCFN9jeB6JiCjwsRGtFlM0olUI/PhTBfKuVj5ItIkPRoPoqstvNpnQs13lt3yrFcjOLVM0gHk/JprzMrZuP1p2cZH/cmyk2Tm9nQWzsrz3v+Aqsq9UunN6lIlm12Bm9K6cgN34gNVlomk4M6f9dgHjdAf0he3BWojKusLerbKq+zs6SruPGHkDRo125/RT41115MdvAjRtxJYfr7PrW50yHxpg5D+oaNVgERlugu3UeJuJVqrB2KCA8TLRXGXklv1cBQYH1e2B9E0mkyKGmYnmPfkPEZxYgIiIagM2otViZlPVA0SFFTh4rKpFy9ZgJifv3nnw21JFNxZvx4JRm51Ty0y0EMNmonn/YBnkw1giytlZnexXhXf7ZV/W6JMKAHbnopqGgfOXq97Uojun/bkySiOMLxRjDzqJK3nGj5YNrPKGI39lohnl+sn3Q+uHUnezNp2R17ueNhrpkYlmNplQ7+cYLCr2NhNNPjao+8s5ZAsaZky0nzPRXE0s8PNnc13OQrPRo2G3LpL/WOrp2K5ERERGxI+zWi5I1vVK6sppAnokOf6senuTIDRuUBkSx78rx+VrVd+yPXl4UGSilTo2olmtQnrY0isTrdxAmWjedpsE7MZE8yETzdkDU7kiE82D7px2+xFomWiuGliFEFImWoNoEyLCfD8u+/NamzLRAOfZLEWyWRC1bGBVZKLV4AOtvBtpTWbAVSdUx0Y0d8cPdEbZndOz7cq7f2rZ7dkWg0UlwuPuqYD3E+zIYzQ4qLJBzwjUZl+t+mw2xv76kyITrRbU3f6izETjeSQiosDHRrRazvaFOe9KBS4XVLaatEsIhsVJNyuTyYRf/DxOmgDw1dGqSQg8efiXPwA5y0STP2hpObGAPPPBWYaMv3jbbRLwrRuEIqPEycNwhZcDSNtnxGnZZU8vivHhXAyonX9doOSWdjNzAo7XrFaMiaYyC65emWjyBoyazURzvg/+JM+KcTZbri/czdp0Rtmd0/+ZaEBVDJZXADdLVQo7IR+SwNvPQSM1SNnqJKsArE4aFW0ThjATza4RLcx/+xHoFGO7Gv/rAhERkSp+nNVyQU66bshn4rTXU9al82qhPBNNuzHRSmUPWppmoskzZAyUiaaYBdOnTDTvl3WWfVXh5X4FZiZa9V1bAbvx0DToygk4NqLVhky0ELVMtBJ9MtHkWWA1OyaafCw2Y1w/+fFrnommuL6eLavozulh3a7oOqdDIxrg3eQCth+CTPDsmOSxouXnnK9UZ23+uWHc04khaiO9YrKukZ9HjolGRES1ARvRajn7X5ODzEC3O1w/gd7WOAjNYx3DwpOHVsWYaE4as8pkDWta/kJvNlfN4GeoMdHkGV8eZ6I5/9sdQSrZV95myJntytYLiDHRqv52lV1zXuOZOQHHLKHa8CCmmAW3zmWi1dhmq6UYE03j2y9Y0Q3cw+6cGmWi6dGdE1B2NXaXrREtNNSzgfbl18jTc6GnYJW60NYwHsLGDmVMckw0rym/x/A8EhFR4DP+0y/5xD55qX3LYERFVH/Z5RMM2ORdqYDVzQeqENkD0NWCCuSeK1Mse7O06pv7jVvC7fW6w/YAWFhiddiu1SqQe64MB74pdXhP7X1fli2TDT5WUGz16Hjlz2wF1z1bVt7Y9f1Fx+snzyI69aPjMbneJ5Miroo8PCZ/MJmq9u96ieP+Wq0C356tat1t2kibqlG+XcBYGSneCgqSxc0PjvfJubyqxsiocA27a8vqlSIn11AvZtk1LDRIrIfYNYRouU/yeuPk9+Ue1YO3ZI1ol/Pd/8wAlI2B+R7WddWpF1n197de1PvXbwhp/zzZJ/mYcEJo+znnC3k8Ozve0p8bxssrtI2rQCT/8SW/yBj3fiAyy85jyU2eRyIiCnwm4c1IuxrZvXs3Xn31VWRlZeHChQtYv349Ro0aVe0yGRkZmDVrFo4ePYr4+Hi89NJLmDRpktvbLCwsRP369VFQUACLxeLbARhEWVkZNm3ahGHDhiFE9qSZnVuKVZ8WQ/59JTLchPFDI9HdycQCNhevVmDeqkKH12OiTXhoYPXL2rb79ifFTpcFgH9tLVF0+XJ3vWqyc0ux8pNiyANavt0Pt5cgv8j5drNzS12+7+uy739RIj2IeXK82bmlWLu5GDduOR6Pr8tm55binQ3FikwE+3VXF1eurq+v11AP1V0fl9evngkPDfLtePRarz9l55ZizcZiRTft6u4TS5QJj9ynPF5XcaW23dWfF0sP+PLt6nkuqztef13D7NxSXevQ1RuLUerm9bW/j3ypr/7+ebFijD1Pj8lZXGXnluK9zSXSWIfO9tnbel/teLyt9/WUnVuKv39WrBgzVHG820qQf91Y++wv7nxGkrrs3FL8c0sJim8yruS8+RwkUsO4Iq3VxZhyt63Ir41omzdvxt69e9GzZ0+MGTNGtRHtzJkz6NSpE6ZOnYopU6Zg+/btmDFjBjZu3IghQ4a4tc260ojmrKFD7vFRUS6/wOi5bHWqW68aX7Z73/8LQ/p/b6kX1HhZf10DtX22rVvruPIHrc6F1ts12nlyh1b3tqcfyP46l0a8hnruk551qF51nZx9XPl671enJo5Ha/76bA5ERr2GgYbn0bW6+GBK+mNckdbqYky521bk1+6c999/P/7whz9g9OjRbpVfsWIFEhMT8dprr6F9+/Z48skn8atf/QpLly7VeU8Di9Uq8OH2kmrLrNte4jSlXu9lvVmvGl+3u+2Adw9Svi7rr2ugts967Jc/6HkufN2ukc6TO4x8b+txLo14DfXcJ73r0JquU7S4973ZJyPGDeC/+zcQGfUaBhqeRyIiqs0CaoSezMxMDBo0SPHakCFDMGPGDJfL3Lp1C7duVX1ZLiys7KZYVlaGsjInU0cGINtx2P5/4vtyRRcUZ64VCXx79ibaxitDQO9lvVmvGl+360supi/L+usaqO2zbd0tm1YW1CKu/EHLc+HJ8QTaeXKHlve2fX3l63b1OJdGvIZ67pPedagedZ09eVxpce97s09GjBvAf5/Ngcio1zDQ8DxWz5PPQSJ3Ma5Ia3Uxptw91oD65MrLy0OTJk0UrzVp0gSFhYW4ceMGIiIiHJZZvHgxFixY4PD61q1bERkZ6fB6IEtPTwcAnC9sDKC9avlde7NxwvKT4rWaWNbT9arRYrv+YsRrYL9uLeLKH/Q4F1pu1yjnyR163Nu2uNJiu1qfSyNeQz33qSbqUK3rOlfS09Nr1fFowV+fzYHIqNcw0PA8usedz0EiTzGuSGt1KaZKStzL3A+oRjRvzJ07F7NmzZL+XVhYiPj4eAwePLhWjYmWnp6O++67DyEhITjxfTm+/uim6nL9+3Z3+ku63st6ul41WmzXX4x4DWzrbtlUaBZX/qDlufA0Ey2QzpM7tLy37esrLbar9bk04jXUc59qog7Vuq6zJ4+rs3mmgD8eLfnrszkQGfUaBhqex+p58jlI5C7GFWmtLsaUrdeimoD65GratCkuXryoeO3ixYuwWCxOs9AAICwsDGFhYQ6vh4SE1LpgsB1Tu5bBiIm+VW0qfYNoE9q1DIfZbFK8rvey1XG1XjW+btdk8r5rjy/L+usaqO2zbd0VFZVT5WkRV/6g5bnw5HgC7Ty5Q49725062F/n0ojXUM990rsO1aOuc8Xduspodbee/PXZHIiMeg0DDc+je2rjswj5H+OKtFaXYsrd4/TrxAKeSk5Oxvbt2xWvpaenIzk52U97ZExmc9WU9a6kDIx0+sVF72W9Wa8aX7c76BeOjaw1say/roHaPuuxX/6g57nwdbtGOk/uMPK9rce5NOI11HOf9K5Da7pO0eLe92afjBg3gP/u30Bk1GsYaHgeiYioNvNrI9r169eRk5ODnJwcAMCZM2eQk5ODc+fOAajsijlhwgSp/NSpU3H69Gk899xz+Pbbb7F8+XKsW7cOM2fO9MfuG1r3pFA8PioKMdHKLygNok2q04rruay361Xjy3YfvCfSL8v66xqo7bNe++UPep4LX7ZrtPPkDqPe23qdSyNeQz33Sc861B91iq/3vtGOx1f+un8DkVGvYaDheSQiotrKJIQvc1T5JiMjA/fcc4/D6xMnTsSaNWswadIknD17FhkZGYplZs6ciW+++QYtWrTAyy+/jEmTJrm9zcLCQtSvXx8FBQW1aky0TZs2YdiwYQ4piFarwIkfylF4XcBSz4S2LYLd/uVPr2V9Wa+e2/XXst4ej6/Lqr2vV1z5g6/nQq/tBiJfY726uPJ2u3oy4jUMxDpU72NyFVeBWHfryV+fzYHIaq2cPXLX3mz079u9znc99BbjypG3n4NE1WFckdbqYky521bk1zHRBgwYgOra8NasWeN0mezsbB33qnYxm01Iut27oNdrWV/Wq+d2/bVsdfRc1l/75Q96ngtfthuIjHhv68mI1zAQ61BftuuLQKy79eSv+zcQmc0mtI0PxgnLT2gbz4YfbzGuiIiotgmoMdGIiIiIiIiIiIj8gY1oREREREREREREKtiIRkREREREREREpIKNaERERERERERERCrYiEZERERERERERKSCjWhEREREREREREQq2IhGRERERERERESkgo1oREREREREREREKtiIRkREREREREREpIKNaERERERERERERCqC/b0DNU0IAQAoLCz0855op6ysDCUlJSgsLERISIi/d4dqCcYV6YFxRXpgXJEeGFekB8YV6YFxRVqrizFlayOytRm5Uuca0YqKigAA8fHxft4TIiIiIiIiIiIyiqKiItSvX9/l+yah1sxWy1itVpw/fx7R0dEwmUz+3h1NFBYWIj4+Ht9//z0sFou/d4dqCcYV6YFxRXpgXJEeGFekB8YV6YFxRVqrizElhEBRURGaN28Os9n1yGd1LhPNbDajRYsW/t4NXVgsljoT4FRzGFekB8YV6YFxRXpgXJEeGFekB8YVaa2uxVR1GWg2nFiAiIiIiIiIiIhIBRvRiIiIiIiIiIiIVLARrRYICwvDvHnzEBYW5u9doVqEcUV6YFyRHhhXpAfGFemBcUV6YFyR1hhTrtW5iQWIiIiIiIiIiIg8xUw0IiIiIiIiIiIiFWxEIyIiIiIiIiIiUsFGNCIiIiIiIiIiIhVsRCMiIiIiIiIiIlLBRjQ/2b17N0aMGIHmzZvDZDLhk08+UV0mIyMDPXr0QFhYGNq0aYM1a9aolh85ciSaNWuGqKgodOvWDe+//75Dub/85S9ISkpCREQE4uPjMXPmTNy8edPLIyNPpaamwmQyYcaMGS7LfPzxx+jVqxdiYmKka/nee+85lBk8eDAaNWoEk8mEnJwcxftXr17FU089JV3r22+/HU8//TQKCgqq3T+19QLAzZs3MW3aNDRq1Aj16tXDgw8+iIsXLyrKnDt3DsOHD0dkZCTi4uIwe/ZslJeXK8qoxbg3901d5U5cyaWlpcFkMmHUqFGK14UQ+P3vf49mzZohIiICgwYNwokTJxRljh8/jpEjRyI2NhYWiwX9+vXDzp07q92ekeJq8eLF+MUvfoHo6GjExcVh1KhRyM3Nrf6E1VFaxdWkSZNgMpkU/w0dOlRR5o9//CP69OmDyMhIxMTEuLU9I8XVW2+9hS5dusBiscBisSA5ORmbN2926zjqEq1i6vr163jyySfRokULREREoEOHDlixYoWiTF5eHsaPH4+mTZsiKioKPXr0wH/+859qt+fO54479eTVq1cxbtw4WCwWxMTE4NFHH8X169cVZQ4dOoS77roL4eHhiI+Px5///GfF+0ePHsWDDz6Ili1bwmQy4S9/+Uv1J6sOcyeu1qxZ41APhYeHK8q4U6cMGDDAYT1Tp06tdv+MVFfxu5X7tIqr+fPno127doiKikKDBg0waNAg7N+/X1HGdp/L/0tNTa12/1auXIkBAwbAYrHAZDIhPz/foYwWdREAfPTRR2jXrh3Cw8PRuXNnbNq0SfG+O/UiVdIqrtz5bhXoceXOvVMT2IjmJ8XFxejatSvefPNNt8qfOXMGw4cPxz333IOcnBzMmDEDU6ZMwRdffOFymX379qFLly74z3/+g0OHDmHy5MmYMGECPv/8c6nMv/71L8yZMwfz5s3DsWPH8O677+LDDz/ECy+84PMxkroDBw7g7bffRpcuXaot17BhQ7z44ovIzMyUruXkyZMV17+4uBj9+vXDn/70J6frOH/+PM6fP48lS5bgyJEjWLNmDbZs2YJHH3202m2rrRcAZs6cic8++wwfffQRdu3ahfPnz2PMmDHS+xUVFRg+fDhKS0uxb98+/OMf/8CaNWvw+9//XirjTox7et/UVe7Glc3Zs2fx7LPP4q677nJ4789//jP+9re/YcWKFdi/fz+ioqIwZMgQRUP7Aw88gPLycuzYsQNZWVno2rUrHnjgAeTl5bncppHiateuXZg2bRq++uorpKeno6ysDIMHD0ZxcbFb56+u0DKuAGDo0KG4cOGC9N8HH3ygeL+0tBS//vWv8cQTT7i9j0aKqxYtWiA1NRVZWVk4ePAg7r33XowcORJHjx51+3hqOy1jatasWdiyZQv++c9/4tixY5gxYwaefPJJbNiwQSozYcIE5ObmYsOGDTh8+DDGjBmDlJQUZGdnu9ymO5877tST48aNw9GjR5Geno7PP/8cu3fvxmOPPSa9X1hYiMGDByMhIQFZWVl49dVXMX/+fKxcuVIqU1JSglatWiE1NRVNmzZ165zVRZ7ElcViUdRD3333neJ9d+oUAPjtb3+rWI+zh0NP18vvVsaiZVzdcccdeOONN3D48GHs2bMHLVu2xODBg/HTTz8pyi1cuFCxnqeeeqra7ZaUlGDo0KHVPsdpURft27cPjzzyCB599FFkZ2dj1KhRGDVqFI4cOSKVcadeJG3jClD/bgUEdly5e+/oTpDfARDr16+vtsxzzz0nOnbsqHjtoYceEkOGDPFoW8OGDROTJ0+W/j1t2jRx7733KsrMmjVL9O3b16P1kueKiopE27ZtRXp6uujfv7+YPn26R8t3795dvPTSSw6vnzlzRgAQ2dnZqutYt26dCA0NFWVlZaplXa03Pz9fhISEiI8++kh67dixYwKAyMzMFEIIsWnTJmE2m0VeXp5U5q233hIWi0XcunVLCOF5jLtz39RFnsZVeXm56NOnj3jnnXfExIkTxciRI6X3rFaraNq0qXj11Vel1/Lz80VYWJj44IMPhBBC/PTTTwKA2L17t1SmsLBQABDp6emq+2u0uBJCiEuXLgkAYteuXar7X1doGVdCCKevubJ69WpRv359j/bXiHElhBANGjQQ77zzjkfHUltpHVMdO3YUCxcuVLzWo0cP8eKLL0r/joqKEmvXrlWUadiwoVi1apVb++zsc8edevKbb74RAMSBAwekMps3bxYmk0n8+OOPQgghli9fLho0aCDFmBBCPP/88yIpKcnpviQkJIilS5e6td91iSdx5UndUt13K2++w6mtl9+tjEWvuLIpKCgQAMS2bduk13y5x3fu3CkAiGvXrile16ouSklJEcOHD1esu3fv3uLxxx8XQrhXL5L2ceXOd6tAjitnnN07NYGZaAEiMzMTgwYNUrw2ZMgQZGZmerSegoICNGzYUPp3nz59kJWVhf/+978AgNOnT2PTpk0YNmyY7ztN1Zo2bRqGDx/ucF3VCCGwfft25Obm4u677/ZpHwoKCmCxWBAcHOz1OrKyslBWVqY4jnbt2uH222+X4jMzMxOdO3dGkyZNpDJDhgxBYWGhlJWhVYzXdZ7G1cKFCxEXF+c0I/HMmTPIy8tTrKt+/fro3bu3dF0aNWqEpKQkrF27FsXFxSgvL8fbb7+NuLg49OzZ0+vj8Gdc2bo4y+vKuk7LuLLJyMhAXFwckpKS8MQTT+DKlSta7a5L/oqriooKpKWlobi4GMnJyVofVkDSOqb69OmDDRs24Mcff4QQAjt37sTx48cxePBgRZkPP/wQV69ehdVqRVpaGm7evIkBAwZ4fRzu1JOZmZmIiYlBr169pDKDBg2C2WyWuqFkZmbi7rvvRmhoqFRmyJAhyM3NxbVr17zev7rG07i6fv06EhISEB8f71Om6Pvvv4/Y2Fh06tQJc+fORUlJiVfrseF3K2PRM65KS0uxcuVK1K9fH127dlW8l5qaikaNGqF79+549dVXHbrqekqrukgtrtypF0mfuHLnu1WgxpW96u4dvXn/5Ew1Ki8vT/EhCQBNmjRBYWEhbty4gYiICNV1rFu3TkoZtRk7diwuX76Mfv36QQiB8vJyTJ06ld05dZaWlob//e9/OHDggNvLFBQU4LbbbsOtW7cQFBSE5cuX47777vN6Hy5fvoxFixYpUm29kZeXh9DQUIcxi5o0aSJ153MVv7b3qivjSYzXdZ7G1Z49e/Duu+86HYsFqLo2zq6L7T2TyYRt27Zh1KhRiI6OhtlsRlxcHLZs2YIGDRp4fSz+iiur1YoZM2agb9++6NSpk9f7X5toHVdAZXeDMWPGIDExEadOncILL7yA+++/H5mZmQgKCtJozx3VdFwdPnwYycnJuHnzJurVq4f169ejQ4cOehxaQNEjppYtW4bHHnsMLVq0QHBwMMxmM1atWqX4sWndunV46KGH0KhRIwQHByMyMhLr169HmzZtvD4Wd+rJvLw8xMXFKd4PDg5Gw4YNFWUSExMd1mF7z5f6tK7wNK6SkpLw97//HV26dEFBQQGWLFmCPn364OjRo2jRooXb2x07diwSEhLQvHlzHDp0CM8//zxyc3Px8ccfe3so/G5lIHrF1eeff46HH34YJSUlaNasGdLT0xEbGyu9//TTT6NHjx5o2LAh9u3bh7lz5+LChQt4/fXXvT4WreoiV3ElX4d8OWdl6jo94sqd71aBHFc2avdOTWAjWh2xc+dOTJ48GatWrULHjh2l1zMyMvDKK69g+fLl6N27N06ePInp06dj0aJFePnll/24x7XX999/j+nTpyM9Pd1hQMjqREdHIycnB9evX8f27dsxa9YstGrVyqtf0AsLCzF8+HB06NAB8+fP93h5Mh5P46qoqAjjx4/HqlWrfPrgEUJg2rRpiIuLw5dffomIiAi88847GDFiBA4cOIBmzZp5vW5/mDZtGo4cOYI9e/b4e1cMQa+4evjhh6W/O3fujC5duqB169bIyMjAwIEDNdl3I0hKSkJOTg4KCgrw73//GxMnTsSuXbvqdEOaXjG1bNkyfPXVV9iwYQMSEhKwe/duTJs2Dc2bN5d+2X755ZeRn5+Pbdu2ITY2Fp988glSUlLw5ZdfonPnzpodI9U8b75bJScnKzJD+/Tpg/bt2+Ptt9/GokWL3N62/MfIzp07o1mzZhg4cCBOnTqF1q1bu38QZDh6xpVtnLrLly9j1apVSElJwf79+6XGiFmzZkllu3TpgtDQUDz++ONYvHgxwsLCNDpC8ge94sqd71a1Ia7U7p2awEa0ANG0aVOHGXkuXrwIi8Wi+ivSrl27MGLECCxduhQTJkxQvPfyyy9j/PjxmDJlCoDKG664uBiPPfYYXnzxRZjN7PGrtaysLFy6dAk9evSQXquoqMDu3bvxxhtvSJlm9sxms/Rrebdu3XDs2DEsXrzY40a0oqIiDB06FNHR0Vi/fj1CQkJ8Op6mTZuitLQU+fn5il9ML168KA183LRpU6nLsPx923u2/3sb4+R5XJ06dQpnz57FiBEjpNesViuAyl+PcnNzpWtz8eJFRWPYxYsX0a1bNwDAjh078Pnnn+PatWuwWCwAgOXLlyM9PR3/+Mc/MGfOHK+Oxx9x9eSTT0qDoXqShVCb6RFXzh4qW7VqhdjYWJw8eVLXRrSajqvQ0FCp3u7ZsycOHDiAv/71r4qM8LpGj5hq3rw5XnjhBaxfvx7Dhw8HUPlwkJOTgyVLlmDQoEE4deoU3njjDRw5ckT6MbFr16748ssv8eabbzrM5Okud+rJpk2b4tKlS4rlysvLcfXqVdWYkm+DXPP2u5VcSEgIunfvjpMnT/q0L7179wYAnDx50utGNH63MgY94yoqKgpt2rRBmzZtcOedd6Jt27Z49913MXfuXKfr6d27N8rLy3H27FkkJSV5dTxa1UWuysjft73mql6sy2qqvnLnu1UgxZWNp/eOHthCEiCSk5Oxfft2xWvp6emqY6tkZGRg+PDh+NOf/uS0215JSYlDQ5ntphVC+LjX5MzAgQNx+PBh5OTkSP/16tUL48aNQ05OjttdmaxWK27duuXRtm0zo4SGhmLDhg0eZcK50rNnT4SEhCjiMzc3F+fOnZPiMzk5GYcPH1ZUsOnp6bBYLFJGhrcxTpU8jat27do5lP/lL38p/boTHx+PxMRENG3aVHFdCgsLsX//fum62MZ9sa9HzGaz9KDrjZqMKyEEnnzySaxfvx47duxwSDevy/SIK2d++OEHXLlyRffMRX/XV97U27WNHjFVVlaGsrIyp99nbPWQq7pKXsYb7tSTycnJyM/PR1ZWllRmx44dsFqtUoNLcnIydu/ejbKyMqlMeno6kpKS2JXTDVp8t6qoqMDhw4d9rods3Y59WY+/6yqqVJNxpfb5kJOTIw2Z4S2t6iK1uHKnXqzLaiqu3PluFUhx5YpfvlvV6DQGJCkqKhLZ2dkiOztbABCvv/66yM7OFt99950QQog5c+aI8ePHS+VPnz4tIiMjxezZs8WxY8fEm2++KYKCgsSWLVukMsuWLVPMtLljxw4RGRkp5s6dKy5cuCD9d+XKFanMvHnzRHR0tPjggw/E6dOnxdatW0Xr1q1FSkpKDZwFsrGfkWX8+PFizpw50r9feeUVsXXrVnHq1CnxzTffiCVLlojg4GDFjGJXrlwR2dnZYuPGjQKASEtLE9nZ2eLChQtCiMrZS3r37i06d+4sTp48qYiJ8vJyaT1JSUni448/dnu9QggxdepUcfvtt4sdO3aIgwcPiuTkZJGcnCy9X15eLjp16iQGDx4scnJyxJYtW0Tjxo3F3LlzpTLuxLjafUNKanFlz9msPqmpqSImJkZ8+umn4tChQ2LkyJEiMTFR3LhxQwhROTtno0aNxJgxY0ROTo7Izc0Vzz77rAgJCRE5OTnSeowcV0888YSoX7++yMjIUNwXJSUl7p/sOsTXuCoqKhLPPvusyMzMFGfOnBHbtm0TPXr0EG3bthU3b96Uyn333XciOztbLFiwQNSrV0+694uKiqQyRo6rOXPmiF27dokzZ86IQ4cOiTlz5giTySS2bt3q/smuI7Soq/r37y86duwodu7cKU6fPi1Wr14twsPDxfLly4UQQpSWloo2bdqIu+66S+zfv1+cPHlSLFmyRJhMJrFx40ZpPffee69YtmyZ9G93PnfU6kkhhBg6dKjo3r272L9/v9izZ49o27ateOSRR6T38/PzRZMmTcT48ePFkSNHRFpamoiMjBRvv/22VObWrVvSvjRr1kw8++yzIjs7W5w4ccL9k12HqMXVggULxBdffCFOnTolsrKyxMMPPyzCw8PF0aNHpTJqdcrJkyfFwoULxcGDB8WZM2fEp59+Klq1aiXuvvtuxb4Yua7idyvP+BpX169fF3PnzhWZmZni7Nmz4uDBg2Ly5MkiLCxMHDlyRAghxL59+8TSpUtFTk6OOHXqlPjnP/8pGjduLCZMmCBt54cffhBJSUli//790msXLlwQ2dnZYtWqVdLM6dnZ2YpnPy3qor1794rg4GCxZMkScezYMTFv3jwREhIiDh8+LJVxp16kKr7GlTvfrQI9rty5d2oKG9H8xDZFrP1/EydOFEJUfkHs37+/wzLdunUToaGholWrVmL16tWK9+fNmycSEhKkf0+cONHpNuTrLSsrE/PnzxetW7cW4eHhIj4+Xvzud79zmLqW9GVfcfbv31+KBSGEePHFF0WbNm1EeHi4aNCggUhOThZpaWmKdaxevdrp9Z43b54QwnXMARBnzpyR1gNAEVtq6xVCiBs3bojf/e53okGDBiIyMlKMHj1a8UVQCCHOnj0r7r//fhERESFiY2PFM888I8rKyhRl1GJc7b4hJbW4sufswdRqtYqXX35ZNGnSRISFhYmBAweK3NxcRZkDBw6IwYMHi4YNG4ro6Ghx5513ik2bNinKGDmuXN0X9uWokq9xVVJSIgYPHiwaN24sQkJCREJCgvjtb38r8vLyHJZzdl127twplTFyXP3mN78RCQkJIjQ0VDRu3FgMHDiQDWguaFFXXbhwQUyaNEk0b95chIeHi6SkJPHaa68Jq9UqlTl+/LgYM2aMiIuLE5GRkaJLly5i7dq1ivUkJCQo4sWdzx136skrV66IRx55RNSrV09YLBYxefJkRYOwEEJ8/fXXol+/fiIsLEzcdtttIjU1VfH+mTNnVL/XURW1uJoxY4a4/fbbRWhoqGjSpIkYNmyY+N///qdYh1qdcu7cOXH33XeLhg0birCwMNGmTRsxe/ZsUVBQoFiPkesqfrfyjK9xdePGDTF69GjRvHlzERoaKpo1ayZ++ctfiv/+979SmaysLNG7d29Rv359ER4eLtq3by9eeeUVxQ9NtvpA/pk4b9481e8zWtRFQgixbt06cccdd4jQ0FDRsWNHxY8RQrhXL1IVX+PKne9WgR5X7tw7NcUkBPvsERERERERERERVYdjohEREREREREREalgIxoREREREREREZEKNqIRERERERERERGpYCMaERERERERERGRCjaiERERERERERERqWAjGhERERERERERkQo2ohEREREREREREalgIxoREREREREREZEKNqIRERERkWbWrFmDmJgYf+8GERERkeZMQgjh750gIiIiotrhxo0bKCoqQlxcnL93hYiIiEhTbEQjIiIiIrcIIVBRUYHg4GB/7woRERFRjWN3TiIiIiIdbdmyBf369UNMTAwaNWqEBx54AKdOnZLeP3v2LEwmE9LS0tCnTx+Eh4ejU6dO2LVrl1QmIyMDJpMJGzduRJcuXRAeHo4777wTR44ccbndsWPH4qGHHlK8VlZWhtjYWKxduxYAYLVasXjxYiQmJiIiIgJdu3bFv//9b4ftbt68GT179kRYWBj27NmDr7/+Gvfccw+io6NhsVjQs2dPHDx4EIDz7pxvvfUWWrdujdDQUCQlJeG9995TvG8ymfDOO+9g9OjRiIyMRNu2bbFhwwbPTjQRERGRztiIRkRERKSj4uJizJo1CwcPHsT27dthNpsxevRoWK1WRbnZs2fjmWeeQXZ2NpKTkzFixAhcuXLFocxrr72GAwcOoHHjxhgxYgTKysqcbnfcuHH47LPPcP36dem1L774AiUlJRg9ejQAYPHixVi7di1WrFiBo0ePYubMmfi///s/RQMeAMyZMwepqak4duwYunTpgnHjxqFFixY4cOAAsrKyMGfOHISEhDjdj/Xr12P69Ol45plncOTIETz++OOYPHkydu7cqSi3YMECpKSk4NChQxg2bBjGjRuHq1evuneSiYiIiGoAu3MSERER1aDLly+jcePGOHz4MDp16oSzZ88iMTERqampeP755wEA5eXlSExMxFNPPYXnnnsOGRkZuOeee5CWliZll129ehUtWrTAmjVrkJKS4rCd8vJyNGvWDK+//jrGjx8PoDI7zWq1Ii0tDbdu3ULDhg2xbds2JCcnS8tNmTIFJSUl+Ne//iVt95NPPsHIkSOlMhaLBcuWLcPEiRMdtrtmzRrMmDED+fn5AIC+ffuiY8eOWLlypVQmJSUFxcXF2LhxI4DKTLSXXnoJixYtAlDZ8FivXj1s3rwZQ4cO9eV0ExEREWmGmWhEREREOjpx4gQeeeQRtGrVChaLBS1btgQAnDt3TlFO3pAVHByMXr164dixYy7LNGzYEElJSQ5l5OtISUnB+++/D6CyYerTTz/FuHHjAAAnT55ESUkJ7rvvPtSrV0/6b+3atYrupgDQq1cvxb9nzZqFKVOmYNCgQUhNTXUoL3fs2DH07dtX8Vrfvn0d9rtLly7S31FRUbBYLLh06ZLL9RIRERHVNI4KS0RERKSjESNGICEhAatWrULz5s1htVrRqVMnlJaW6r7tcePGoX///rh06RLS09MREREhZXbZunlu3LgRt912m2K5sLAwxb+joqIU/54/fz7Gjh2LjRs3YvPmzZg3bx7S0tKkbqLesO8OajKZHLq8EhEREfkTM9GIiIiIdHLlyhXk5ubipZdewsCBA9G+fXtcu3bNadmvvvpK+ru8vBxZWVlo3769yzLXrl3D8ePHHcrI9enTB/Hx8fjwww/x/vvv49e//rXUWNWhQweEhYXh3LlzaNOmjeK/+Ph41WO74447MHPmTGzduhVjxozB6tWrnZZr37499u7dq3ht79696NChg+o2iIiIiIyEmWhEREREOmnQoAEaNWqElStXolmzZjh37hzmzJnjtOybb76Jtm3bon379li6dCmuXbuG3/zmN4oyCxcuRKNGjdCkSRO8+OKLiI2NxahRo6rdh7Fjx2LFihU4fvy4YjD/6OhoPPvss5g5cyasViv69euHgoIC7N27FxaLxel4ZwBw48YNzJ49G7/61a+QmJiIH374AQcOHMCDDz7otPzs2bORkpKC7t27Y9CgQfjss8/w8ccfY9u2bdXuNxEREZHRsBGNiIiISCdmsxlpaWl4+umn0alTJyQlJeFvf/sbBgwY4FA2NTUVqampyMnJQZs2bbBhwwbExsY6lJk+fTpOnDiBbt264bPPPkNoaGi1+zBu3Dj88Y9/REJCgsPYZIsWLULjxo2xePFinD59GjExMejRowdeeOEFl+sLCgrClStXMGHCBFy8eBGxsbEYM2YMFixY4LT8qFGj8Ne//hVLlizB9OnTkZiYiNWrVzs9B0RERERGxtk5iYiIiPzINjtndnY2unXr5rSMbZbMa9euISYmpkb3j4iIiIgqcUw0IiIiIiIiIiIiFWxEIyIiIiIiIiIiUsHunERERERERERERCqYiUZERERERERERKSCjWhEREREREREREQq2IhGRERERERERESkgo1oREREREREREREKtiIRkREREREREREpIKNaERERERERERERCrYiEZERERERERERKSCjWhEREREREREREQq/j+n68NtRdg0dwAAAABJRU5ErkJggg==\n"
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file