{"cells":[{"cell_type":"markdown","metadata":{"id":"wz8ZtpV_vkWU"},"source":["# Sentiment Analysis with Hugging Face"]},{"cell_type":"markdown","metadata":{"id":"ZAK-6LHovkWW"},"source":["Hugging Face is an open-source and platform provider of machine learning technologies. You can use install their package to access some interesting pre-built models to use them directly or to fine-tune (retrain it on your dataset leveraging the prior knowledge coming with the first training), then host your trained models on the platform, so that you may use them later on other devices and apps.\n","\n","Please, [go to the website and sign-in](https://huggingface.co/) to access all the features of the platform.\n","\n","[Read more about Text classification with Hugging Face](https://huggingface.co/tasks/text-classification)\n","\n","The Hugging face models are Deep Learning based, so will need a lot of computational GPU power to train them. Please use [Colab](https://colab.research.google.com/) to do it, or your other GPU cloud provider, or a local machine having NVIDIA GPU."]},{"cell_type":"markdown","metadata":{"id":"k2oUBGMNvkWW"},"source":["## Application of Hugging Face Text classification model Fune-tuning"]},{"cell_type":"markdown","metadata":{"id":"O9VRm8uzvkWX"},"source":["Find below a simple example, with just `3 epochs of fine-tuning`.\n","\n","Read more about the fine-tuning concept : [here](https://deeplizard.com/learn/video/5T-iXNNiwIs#:~:text=Fine%2Dtuning%20is%20a%20way,perform%20a%20second%20similar%20task.)"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"r9Jx-No4vkWX","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694986044658,"user_tz":0,"elapsed":76466,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"39f8412d-b61f-4440-f6d0-fc7ccdba0c7c"},"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting datasets\n","  Downloading datasets-2.14.5-py3-none-any.whl (519 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m519.6/519.6 kB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.23.5)\n","Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (9.0.0)\n","Collecting dill<0.3.8,>=0.3.0 (from datasets)\n","  Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m12.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: pandas in 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(2.0.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2023.7.22)\n"]}],"source":["# Install the datasets library\n","!pip install datasets\n","!pip install sentencepiece\n","!pip install transformers datasets\n","!pip install transformers[torch]\n","!pip install accelerate\n","!pip install accelerate>=0.20.1\n","!pip install huggingface_hub\n","!pip install  -q transformers datasets\n","!pip install neattext\n","!pip install huggingface_hub"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"E8Xq8UJZvkWZ","executionInfo":{"status":"ok","timestamp":1694986049289,"user_tz":0,"elapsed":4652,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["##for handling path of my datasets\n","import os\n","from google.colab import drive\n","\n","##for data handling:\n","import pandas as pd\n","import numpy as np\n","from datasets import load_dataset\n","from sklearn.model_selection import train_test_split\n","\n","##for visualization\n","import matplotlib.pyplot as plt\n","from collections import Counter\n","from wordcloud import WordCloud\n","import neattext.functions as nfx\n","import re\n","\n","##modelling:\n","import nltk\n","from nltk.corpus import stopwords\n","import string\n","from transformers import AutoTokenizer\n","from transformers import AutoModelForSequenceClassification\n","from sklearn.metrics import mean_squared_error\n","from datasets import load_metric\n","from sklearn.metrics import f1_score\n"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"u2ZtZuKRvkWa","executionInfo":{"status":"ok","timestamp":1694986049290,"user_tz":0,"elapsed":72,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Disabe W&B\n","os.environ[\"WANDB_DISABLED\"] = \"true\""]},{"cell_type":"code","source":["# drive.mount('/content/drive')"],"metadata":{"id":"EbNmKL0kwctF","executionInfo":{"status":"ok","timestamp":1694986049292,"user_tz":0,"elapsed":71,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["!git clone https://github.com/codedzifa/NLP-Sentiment-Analysis.git"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"k5MnFrUZmyEB","executionInfo":{"status":"ok","timestamp":1694986049293,"user_tz":0,"elapsed":70,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"9cbfaee1-266a-4945-b6f0-804424b80c92"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'NLP-Sentiment-Analysis'...\n","remote: Enumerating objects: 18, done.\u001b[K\n","remote: Counting objects: 100% (18/18), done.\u001b[K\n","remote: Compressing objects: 100% (17/17), done.\u001b[K\n","remote: Total 18 (delta 1), reused 14 (delta 1), pack-reused 0\u001b[K\n","Receiving objects: 100% (18/18), 2.43 MiB | 11.68 MiB/s, done.\n","Resolving deltas: 100% (1/1), done.\n"]}]},{"cell_type":"markdown","metadata":{"id":"Y9bb_VlsvkWa"},"source":["#### LOADING DATASET"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"YPt1Ppq1vkWa","executionInfo":{"status":"ok","timestamp":1694986049294,"user_tz":0,"elapsed":56,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["\n","\n","# Load the dataset and display some values\n","# df_train = pd.read_csv('../data/Train.csv')\n","# df_train = pd.read_csv('/content/drive/My Drive/Sentiment-Analysis-Model/data/Train.csv')\n","df_train = pd.read_csv('/content/NLP-Sentiment-Analysis/data/Train.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df_train = df_train[~df_train.isna().any(axis=1)]\n","\n","\n","# Load the dataset and display some values\n","# df_test = pd.read_csv('../data/Test.csv')\n","# df_test = pd.read_csv('/content/drive/My Drive/Sentiment-Analysis-Model/data/Test.csv')\n","df_test = pd.read_csv('/content/NLP-Sentiment-Analysis/data/Test.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df_test = df_test[~df_test.isna().any(axis=1)]"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"-n5AsqTGvkWa","executionInfo":{"status":"ok","timestamp":1694986049296,"user_tz":0,"elapsed":57,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["##creating a copy\n","\n","train_data= df_train.copy()\n","test_data= df_test.copy()"]},{"cell_type":"markdown","metadata":{"id":"PvihvlXnvkWb"},"source":["## CRISP-DM Framework\n","\n","- Data Understanding\n","- Data Preparation\n","- Modelling\n","- Evaluation\n","- Deployment\n"]},{"cell_type":"markdown","metadata":{"id":"vrfjwJGLvkWb"},"source":["#### DATA UNDERSTANDING"]},{"cell_type":"markdown","metadata":{"id":"4CiPSA8fvkWb"},"source":["##### EXPLORATORY DATA ANALYSIS (EDA)"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"_wujoptNvkWb","executionInfo":{"status":"ok","timestamp":1694986049298,"user_tz":0,"elapsed":57,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"5d24f4e3-d50e-4d95-d7bb-e05a5a185370"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      tweet_id                                          safe_text  label  \\\n","8316  C4SMJTE4  Measles at \"my\" Stater Bros?! 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Fine,  don...    1.0   \n","618   AZM9EKG5  <user> <user> I just hope <user> doesn't miss ...    0.0   \n","6468  14FKBDJI  Associated Press\\nVaccine spray may not work f...    0.0   \n","\n","      agreement  \n","8316   1.000000  \n","8202   1.000000  \n","7792   1.000000  \n","618    0.666667  \n","6468   0.666667  "],"text/html":["\n","  <div id=\"df-106dd9ae-7c1c-4f00-88aa-95a17709da94\" 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>tweet_id</th>\n","      <th>safe_text</th>\n","      <th>label</th>\n","      <th>agreement</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>8316</th>\n","      <td>C4SMJTE4</td>\n","      <td>Measles at \"my\" Stater Bros?! 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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-a39258da-29dc-4546-bd4c-9e59956e3e23\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a39258da-29dc-4546-bd4c-9e59956e3e23')\"\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-a39258da-29dc-4546-bd4c-9e59956e3e23 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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KB\n","the info df_train dataset are:  \n","\n"," None \n","\n"," ------------------------------------------------------------\n","<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 5176 entries, 0 to 5176\n","Data columns (total 2 columns):\n"," #   Column     Non-Null Count  Dtype \n","---  ------     --------------  ----- \n"," 0   tweet_id   5176 non-null   object\n"," 1   safe_text  5176 non-null   object\n","dtypes: object(2)\n","memory usage: 121.3+ KB\n","the info df_test dataset are:  \n","\n"," None \n","\n"," ------------------------------------------------------------\n"]}],"source":["#Getting info\n","data=[train_data, test_data]\n","names=[\"df_train\", \"df_test\"]\n","\n","for m, i in zip(data, names):\n","  print(f\"the info\", i,\"dataset are: \", \"\\n\\n\", m.info(), \"\\n\\n\", \"---\"*20 )"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vSQJcmqvvkWc","executionInfo":{"status":"ok","timestamp":1694986049304,"user_tz":0,"elapsed":48,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"9711d11b-6ce3-4775-add2-944e4cd857f2"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" 0.0    4908\n"," 1.0    4053\n","-1.0    1038\n","Name: label, dtype: int64"]},"metadata":{},"execution_count":11}],"source":["# We look at the number of positive, negative and neutral reviews\n","train_data.label.value_counts()"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"Ek08zaNDvkWc","executionInfo":{"status":"ok","timestamp":1694986050360,"user_tz":0,"elapsed":1099,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"ae6b5d71-c84b-4a74-e5d1-bb9aca14a8e3"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkgAAAHHCAYAAABEEKc/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA4o0lEQVR4nO3de1gWdf7/8RfIScUbPIIkKh5SMQ+pqVibmiQatvpVd9NcQ/NQLpqHVo3WNKmW1i3Ptrbbt3BLN7UtLUk84KmUzEjy7KqZWgaYBrdHUPj8/ujL/fMe1OQgN+jzcV1zXd2fec/Me8ZZfe3cM3O7GWOMAAAA4ODu6gYAAADKGgISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhJwG3vxxRfl5uZWKtvq0qWLunTp4vi8adMmubm56YMPPiiV7Q8ZMkT169cvlW0V1blz5zR8+HAFBgbKzc1N48aNK5XtDhkyRL6+viW6TuufN3C7ISAB5UR8fLzc3Nwck4+Pj4KCghQREaG5c+fq7NmzJbKdkydP6sUXX1RqamqJrK8kleXebsZf/vIXxcfHa9SoUXr33Xc1ePDg69bWr19fvXr1KsXuAFzNw9UNACic2NhYhYSE6PLly0pLS9OmTZs0btw4zZw5Ux9//LFatmzpqJ0yZYqee+65Qq3/5MmTmj59uurXr6/WrVvf9HJr164t1HaK4ka9/fOf/1ReXt4t76E4NmzYoI4dO2ratGmubgXAryAgAeVMz5491a5dO8fnmJgYbdiwQb169dJvf/tb7d+/XxUrVpQkeXh4yMPj1v7P/MKFC6pUqZK8vLxu6XZ+jaenp0u3fzMyMjIUGhrq6jYA3AS+YgNuAw899JBeeOEFHTt2TO+9955j/Fr3IK1bt04PPPCA/P395evrqyZNmuj555+X9Mt9Q/fdd58kaejQoY6v8+Lj4yX9ct/JPffco5SUFD344IOqVKmSY9nr3ZOSm5ur559/XoGBgapcubJ++9vf6sSJE0419evX15AhQwose/U6f623a92DdP78eT377LMKDg6Wt7e3mjRpotdee03GGKc6Nzc3jR49WitWrNA999wjb29vNW/eXImJidc+4BYZGRkaNmyYAgIC5OPjo1atWmnRokWO+fn3Yx09elQJCQmO3r/77rubWv/1fPbZZ/rd736nunXrytvbW8HBwRo/frwuXrx4zfpvv/1WERERqly5soKCghQbG1vgWOTl5Wn27Nlq3ry5fHx8FBAQoKeeeko///zzr/Yzb948NW/eXJUqVVLVqlXVrl07LVmypFj7CLgKV5CA28TgwYP1/PPPa+3atRoxYsQ1a/bu3atevXqpZcuWio2Nlbe3tw4fPqytW7dKkpo1a6bY2FhNnTpVI0eO1G9+8xtJUqdOnRzrOH36tHr27KkBAwboD3/4gwICAm7Y1yuvvCI3NzdNnjxZGRkZmj17tsLDw5Wamuq40nUzbqa3qxlj9Nvf/lYbN27UsGHD1Lp1a61Zs0YTJ07UDz/8oFmzZjnVf/755/rwww/1xz/+UVWqVNHcuXPVr18/HT9+XNWrV79uXxcvXlSXLl10+PBhjR49WiEhIVq+fLmGDBmizMxMjR07Vs2aNdO7776r8ePHq06dOnr22WclSTVr1rzp/b+W5cuX68KFCxo1apSqV6+uL7/8UvPmzdP333+v5cuXO9Xm5uaqR48e6tixo2bMmKHExERNmzZNV65cUWxsrKPuqaeeUnx8vIYOHapnnnlGR48e1fz587Vz505t3br1ulfq/vnPf+qZZ55R//79NXbsWF26dEm7du3S9u3b9fjjjxdrPwGXMADKhXfeecdIMjt27LhujZ+fn7n33nsdn6dNm2au/p/5rFmzjCRz6tSp665jx44dRpJ55513Cszr3LmzkWQWLlx4zXmdO3d2fN64caORZO666y5jt9sd48uWLTOSzJw5cxxj9erVM1FRUb+6zhv1FhUVZerVq+f4vGLFCiPJvPzyy051/fv3N25ububw4cOOMUnGy8vLaeybb74xksy8efMKbOtqs2fPNpLMe++95xjLyckxYWFhxtfX12nf69WrZyIjI2+4vsLUXrhwocBYXFyccXNzM8eOHXOMRUVFGUlmzJgxjrG8vDwTGRlpvLy8HOfDZ599ZiSZxYsXO60zMTGxwLj1z6Z3796mefPmN7VvQHnAV2zAbcTX1/eGT7P5+/tLklauXFnkG5q9vb01dOjQm65/4oknVKVKFcfn/v37q3bt2vr000+LtP2b9emnn6pChQp65plnnMafffZZGWO0evVqp/Hw8HA1bNjQ8blly5ay2Wz69ttvf3U7gYGBGjhwoGPM09NTzzzzjM6dO6fNmzeXwN5c29VX4M6fP6+ffvpJnTp1kjFGO3fuLFA/evRox3/nf62Yk5Oj9evXS/rlipSfn58efvhh/fTTT46pbdu28vX11caNG6/bi7+/v77//nvt2LGjBPcQcB0CEnAbOXfunFMYsXrsscd0//33a/jw4QoICNCAAQO0bNmyQoWlu+66q1A3ZDdu3Njps5ubmxo1alTs+29+zbFjxxQUFFTgeDRr1swx/2p169YtsI6qVav+6r03x44dU+PGjeXu7vzX6fW2U5KOHz+uIUOGqFq1avL19VXNmjXVuXNnSVJWVpZTrbu7uxo0aOA0dvfdd0uS48/i0KFDysrKUq1atVSzZk2n6dy5c8rIyLhuL5MnT5avr6/at2+vxo0bKzo62vHVLVAecQ8ScJv4/vvvlZWVpUaNGl23pmLFitqyZYs2btyohIQEJSYmaunSpXrooYe0du1aVahQ4Ve3U5j7hm7W9V5mmZube1M9lYTrbcdYbmIuK3Jzc/Xwww/rzJkzmjx5spo2barKlSvrhx9+0JAhQ4p0hTAvL0+1atXS4sWLrzn/RvdMNWvWTAcPHtSqVauUmJio//znP3rjjTc0depUTZ8+vdC9AK5GQAJuE++++64kKSIi4oZ17u7u6tatm7p166aZM2fqL3/5i/785z9r48aNCg8PL/E3bx86dMjpszFGhw8fdnpfU9WqVZWZmVlg2WPHjjld9ShMb/Xq1dP69et19uxZp6tIBw4ccMwvCfXq1dOuXbuUl5fndBWppLdjtXv3bv33v//VokWL9MQTTzjG161bd836vLw8ffvtt46rRpL03//+V5IcT/81bNhQ69ev1/3331+kIFy5cmU99thjeuyxx5STk6O+ffvqlVdeUUxMjHx8fAq9PsCV+IoNuA1s2LBBL730kkJCQjRo0KDr1p05c6bAWP4LF7OzsyX98o+cpGsGlqL417/+5XRf1AcffKAff/xRPXv2dIw1bNhQX3zxhXJychxjq1atKvA6gML09sgjjyg3N1fz5893Gp81a5bc3Nyctl8cjzzyiNLS0rR06VLH2JUrVzRv3jz5+vo6vvIqaflXvK6+wmWM0Zw5c667zNXHwhij+fPny9PTU926dZMk/f73v1dubq5eeumlAsteuXLlhsf99OnTTp+9vLwUGhoqY4wuX758U/sElCVcQQLKmdWrV+vAgQO6cuWK0tPTtWHDBq1bt0716tXTxx9/fMP/px4bG6stW7YoMjJS9erVU0ZGht544w3VqVNHDzzwgKRfwoq/v78WLlyoKlWqqHLlyurQoYNCQkKK1G+1atX0wAMPaOjQoUpPT9fs2bPVqFEjp1cRDB8+XB988IF69Oih3//+9zpy5Ijee+89p5umC9vbo48+qq5du+rPf/6zvvvuO7Vq1Upr167VypUrNW7cuALrLqqRI0fqzTff1JAhQ5SSkqL69evrgw8+0NatWzV79uwb3hP2aw4fPqyXX365wPi9996r7t27q2HDhvrTn/6kH374QTabTf/5z3+ue8+Uj4+PEhMTFRUVpQ4dOmj16tVKSEjQ888/7/jqrHPnznrqqacUFxen1NRUde/eXZ6enjp06JCWL1+uOXPmqH///tdcf/fu3RUYGKj7779fAQEB2r9/v+bPn6/IyMhiHQPAZVz3AB2Awsh/zD9/8vLyMoGBgebhhx82c+bMcXqcPJ/1Mf+kpCTTu3dvExQUZLy8vExQUJAZOHCg+e9//+u03MqVK01oaKjx8PBweqy+c+fO132U+3qP+f/73/82MTExplatWqZixYomMjLS6RH0fK+//rq56667jLe3t7n//vvNV199VWCdN+rN+pi/McacPXvWjB8/3gQFBRlPT0/TuHFj87e//c3k5eU51Uky0dHRBXq63usHrNLT083QoUNNjRo1jJeXl2nRosU1X0VQ2Mf8r/7zvnoaNmyYMcaYffv2mfDwcOPr62tq1KhhRowY4Xg9wdXbj4qKMpUrVzZHjhwx3bt3N5UqVTIBAQFm2rRpJjc3t8C2//GPf5i2bduaihUrmipVqpgWLVqYSZMmmZMnTzpqrH82b775pnnwwQdN9erVjbe3t2nYsKGZOHGiycrKuqn9BcoaN2PK6B2IAAAALsI9SAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsOBFkTchLy9PJ0+eVJUqVUr8ZxgAAMCtYYzR2bNnFRQUVOAHpX8NAekmnDx5UsHBwa5uAwAAFMGJEydUp06dQi1DQLoJ+a/JP3HihGw2m4u7AQAAN8Nutys4OLhIP3dDQLoJ+V+r2Ww2AhIAAOVMUW6P4SZtAAAACwISAACABQEJAADAgoAEAABg4dKA9OKLL8rNzc1patq0qWP+pUuXFB0drerVq8vX11f9+vVTenq60zqOHz+uyMhIVapUSbVq1dLEiRN15coVp5pNmzapTZs28vb2VqNGjRQfH18auwcAAMopl19Bat68uX788UfH9PnnnzvmjR8/Xp988omWL1+uzZs36+TJk+rbt69jfm5uriIjI5WTk6Nt27Zp0aJFio+P19SpUx01R48eVWRkpLp27arU1FSNGzdOw4cP15o1a0p1PwEAQPnhZowxrtr4iy++qBUrVig1NbXAvKysLNWsWVNLlixR//79JUkHDhxQs2bNlJycrI4dO2r16tXq1auXTp48qYCAAEnSwoULNXnyZJ06dUpeXl6aPHmyEhIStGfPHse6BwwYoMzMTCUmJt5Un3a7XX5+fsrKyuIxfwAAyoni/Pvt8itIhw4dUlBQkBo0aKBBgwbp+PHjkqSUlBRdvnxZ4eHhjtqmTZuqbt26Sk5OliQlJyerRYsWjnAkSREREbLb7dq7d6+j5up15Nfkr+NasrOzZbfbnSYAAHDncGlA6tChg+Lj45WYmKi///3vOnr0qH7zm9/o7NmzSktLk5eXl/z9/Z2WCQgIUFpamiQpLS3NKRzlz8+fd6Mau92uixcvXrOvuLg4+fn5OSZ+ZgQAgDuLS9+k3bNnT8d/t2zZUh06dFC9evW0bNkyVaxY0WV9xcTEaMKECY7P+a8qBwAAdwaXf8V2NX9/f9199906fPiwAgMDlZOTo8zMTKea9PR0BQYGSpICAwMLPNWW//nXamw223VDmLe3t+NnRfh5EQAA7jxlKiCdO3dOR44cUe3atdW2bVt5enoqKSnJMf/gwYM6fvy4wsLCJElhYWHavXu3MjIyHDXr1q2TzWZTaGioo+bqdeTX5K8DAADAyqUB6U9/+pM2b96s7777Ttu2bdP//M//qEKFCho4cKD8/Pw0bNgwTZgwQRs3blRKSoqGDh2qsLAwdezYUZLUvXt3hYaGavDgwfrmm2+0Zs0aTZkyRdHR0fL29pYkPf300/r22281adIkHThwQG+88YaWLVum8ePHu3LXAQBAGebSe5C+//57DRw4UKdPn1bNmjX1wAMP6IsvvlDNmjUlSbNmzZK7u7v69eun7OxsRURE6I033nAsX6FCBa1atUqjRo1SWFiYKleurKioKMXGxjpqQkJClJCQoPHjx2vOnDmqU6eO3nrrLUVERJT6/gIAgPLBpe9BKi94DxIAAOVPcf79dukVJABlQ/3nElzdAlzsu1cjXd0CUKaUqZu0AQAAygICEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABg4eHqBvK9+uqriomJ0dixYzV79mxJ0qVLl/Tss8/q/fffV3Z2tiIiIvTGG28oICDAsdzx48c1atQobdy4Ub6+voqKilJcXJw8PP7/rm3atEkTJkzQ3r17FRwcrClTpmjIkCGlvIcAgOup/1yCq1uAi333aqSrW3BSJq4g7dixQ2+++aZatmzpND5+/Hh98sknWr58uTZv3qyTJ0+qb9++jvm5ubmKjIxUTk6Otm3bpkWLFik+Pl5Tp0511Bw9elSRkZHq2rWrUlNTNW7cOA0fPlxr1qwptf0DAADli8sD0rlz5zRo0CD985//VNWqVR3jWVlZ+t///V/NnDlTDz30kNq2bat33nlH27Zt0xdffCFJWrt2rfbt26f33ntPrVu3Vs+ePfXSSy9pwYIFysnJkSQtXLhQISEhev3119WsWTONHj1a/fv316xZs1yyvwAAoOxzeUCKjo5WZGSkwsPDncZTUlJ0+fJlp/GmTZuqbt26Sk5OliQlJyerRYsWTl+5RUREyG63a+/evY4a67ojIiIc67iW7Oxs2e12pwkAANw5XHoP0vvvv6+vv/5aO3bsKDAvLS1NXl5e8vf3dxoPCAhQWlqao+bqcJQ/P3/ejWrsdrsuXryoihUrFth2XFycpk+fXuT9AgAA5ZvLriCdOHFCY8eO1eLFi+Xj4+OqNq4pJiZGWVlZjunEiROubgkAAJQilwWklJQUZWRkqE2bNvLw8JCHh4c2b96suXPnysPDQwEBAcrJyVFmZqbTcunp6QoMDJQkBQYGKj09vcD8/Hk3qrHZbNe8eiRJ3t7estlsThMAALhzuCwgdevWTbt371ZqaqpjateunQYNGuT4b09PTyUlJTmWOXjwoI4fP66wsDBJUlhYmHbv3q2MjAxHzbp162Sz2RQaGuqouXod+TX56wAAALBy2T1IVapU0T333OM0VrlyZVWvXt0xPmzYME2YMEHVqlWTzWbTmDFjFBYWpo4dO0qSunfvrtDQUA0ePFgzZsxQWlqapkyZoujoaHl7e0uSnn76ac2fP1+TJk3Sk08+qQ0bNmjZsmVKSOCdGwAA4NrKzIsir2XWrFlyd3dXv379nF4Uma9ChQpatWqVRo0apbCwMFWuXFlRUVGKjY111ISEhCghIUHjx4/XnDlzVKdOHb311luKiIhwxS4BAIBywM0YY1zdRFlnt9vl5+enrKws7kfCbYm3GMPVbzHmHMStOAeL8++3y9+DBAAAUNYQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAAC5cGpL///e9q2bKlbDabbDabwsLCtHr1asf8S5cuKTo6WtWrV5evr6/69eun9PR0p3UcP35ckZGRqlSpkmrVqqWJEyfqypUrTjWbNm1SmzZt5O3trUaNGik+Pr40dg8AAJRTLg1IderU0auvvqqUlBR99dVXeuihh9S7d2/t3btXkjR+/Hh98sknWr58uTZv3qyTJ0+qb9++juVzc3MVGRmpnJwcbdu2TYsWLVJ8fLymTp3qqDl69KgiIyPVtWtXpaamaty4cRo+fLjWrFlT6vsLAADKBzdjjHF1E1erVq2a/va3v6l///6qWbOmlixZov79+0uSDhw4oGbNmik5OVkdO3bU6tWr1atXL508eVIBAQGSpIULF2ry5Mk6deqUvLy8NHnyZCUkJGjPnj2ObQwYMECZmZlKTEy8qZ7sdrv8/PyUlZUlm81W8jsNuFj95xJc3QJc7LtXI126fc5B3IpzsDj/fpeZe5Byc3P1/vvv6/z58woLC1NKSoouX76s8PBwR03Tpk1Vt25dJScnS5KSk5PVokULRziSpIiICNntdsdVqOTkZKd15NfkrwMAAMDKw9UN7N69W2FhYbp06ZJ8fX310UcfKTQ0VKmpqfLy8pK/v79TfUBAgNLS0iRJaWlpTuEof37+vBvV2O12Xbx4URUrVizQU3Z2trKzsx2f7XZ7sfcTAACUHy6/gtSkSROlpqZq+/btGjVqlKKiorRv3z6X9hQXFyc/Pz/HFBwc7NJ+AABA6XJ5QPLy8lKjRo3Utm1bxcXFqVWrVpozZ44CAwOVk5OjzMxMp/r09HQFBgZKkgIDAws81Zb/+ddqbDbbNa8eSVJMTIyysrIc04kTJ0piVwEAQDnh8oBklZeXp+zsbLVt21aenp5KSkpyzDt48KCOHz+usLAwSVJYWJh2796tjIwMR826detks9kUGhrqqLl6Hfk1+eu4Fm9vb8erB/InAABw53DpPUgxMTHq2bOn6tatq7Nnz2rJkiXatGmT1qxZIz8/Pw0bNkwTJkxQtWrVZLPZNGbMGIWFhaljx46SpO7duys0NFSDBw/WjBkzlJaWpilTpig6Olre3t6SpKefflrz58/XpEmT9OSTT2rDhg1atmyZEhJ4YgIAAFybSwNSRkaGnnjiCf3444/y8/NTy5YttWbNGj388MOSpFmzZsnd3V39+vVTdna2IiIi9MYbbziWr1ChglatWqVRo0YpLCxMlStXVlRUlGJjYx01ISEhSkhI0Pjx4zVnzhzVqVNHb731liIiIkp9fwEAQPlQ5t6DVBbxHiTc7ngHDXgPElyN9yABAACUcQQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwKFJAatCggU6fPl1gPDMzUw0aNCh2UwAAAK5UpID03XffKTc3t8B4dna2fvjhh2I3BQAA4EqFepP2xx9/7Pjv/J8DyZebm6ukpCTVr1+/xJoDAABwhUIFpD59+kiS3NzcFBUV5TTP09NT9evX1+uvv15izQEAALhCoQJSXl6epF9+32zHjh2qUaPGLWkKAADAlYr0Y7VHjx4t6T4AAADKjCIFJElKSkpSUlKSMjIyHFeW8r399tvFbgwAAMBVihSQpk+frtjYWLVr1061a9eWm5tbSfcFAADgMkUKSAsXLlR8fLwGDx5c0v0AAAC4XJHeg5STk6NOnTqVdC8AAABlQpEC0vDhw7VkyZKS7gUAAKBMKNJXbJcuXdI//vEPrV+/Xi1btpSnp6fT/JkzZ5ZIcwAAAK5QpIC0a9cutW7dWpK0Z88ep3ncsA0AAMq7IgWkjRs3lnQfAAAAZUaR7kECAAC4nRXpClLXrl1v+FXahg0bitwQAACAqxUpIOXff5Tv8uXLSk1N1Z49ewr8iC0AAEB5U6SANGvWrGuOv/jiizp37lyxGgIAAHC1Er0H6Q9/+AO/wwYAAMq9Eg1IycnJ8vHxKclVAgAAlLoifcXWt29fp8/GGP3444/66quv9MILL5RIYwAAAK5SpIDk5+fn9Nnd3V1NmjRRbGysunfvXiKNAQAAuEqRAtI777xT0n0AAACUGUUKSPlSUlK0f/9+SVLz5s117733lkhTAAAArlSkgJSRkaEBAwZo06ZN8vf3lyRlZmaqa9euev/991WzZs2S7BEAAKBUFekptjFjxujs2bPau3evzpw5ozNnzmjPnj2y2+165plnSrpHAACAUlWkK0iJiYlav369mjVr5hgLDQ3VggULuEkbAACUe0W6gpSXlydPT88C456ensrLyyt2UwAAAK5UpID00EMPaezYsTp58qRj7IcfftD48ePVrVu3EmsOAADAFYoUkObPny+73a769eurYcOGatiwoUJCQmS32zVv3ryS7hEAAKBUFekepODgYH399ddav369Dhw4IElq1qyZwsPDS7Q5AAAAVyjUFaQNGzYoNDRUdrtdbm5uevjhhzVmzBiNGTNG9913n5o3b67PPvvsVvUKAABQKgoVkGbPnq0RI0bIZrMVmOfn56ennnpKM2fOLLHmAAAAXKFQAembb75Rjx49rju/e/fuSklJKXZTAAAArlSogJSenn7Nx/vzeXh46NSpU8VuCgAAwJUKFZDuuusu7dmz57rzd+3apdq1axe7KQAAAFcqVEB65JFH9MILL+jSpUsF5l28eFHTpk1Tr169Sqw5AAAAVyjUY/5TpkzRhx9+qLvvvlujR49WkyZNJEkHDhzQggULlJubqz//+c+3pFEAAIDSUqiAFBAQoG3btmnUqFGKiYmRMUaS5ObmpoiICC1YsEABAQG3pFEAAIDSUugXRdarV0+ffvqpfv75Zx0+fFjGGDVu3FhVq1a9Ff0BAACUuiK9SVuSqlatqvvuu68kewEAACgTivRbbAAAALczAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWLg0IMXFxem+++5TlSpVVKtWLfXp00cHDx50qrl06ZKio6NVvXp1+fr6ql+/fkpPT3eqOX78uCIjI1WpUiXVqlVLEydO1JUrV5xqNm3apDZt2sjb21uNGjVSfHz8rd49AABQTrk0IG3evFnR0dH64osvtG7dOl2+fFndu3fX+fPnHTXjx4/XJ598ouXLl2vz5s06efKk+vbt65ifm5uryMhI5eTkaNu2bVq0aJHi4+M1depUR83Ro0cVGRmprl27KjU1VePGjdPw4cO1Zs2aUt1fAABQPrgZY4yrm8h36tQp1apVS5s3b9aDDz6orKws1axZU0uWLFH//v0lSQcOHFCzZs2UnJysjh07avXq1erVq5dOnjypgIAASdLChQs1efJknTp1Sl5eXpo8ebISEhK0Z88ex7YGDBigzMxMJSYm/mpfdrtdfn5+ysrKks1muzU7D7hQ/ecSXN0CXOy7VyNdun3OQdyKc7A4/36XqXuQsrKyJEnVqlWTJKWkpOjy5csKDw931DRt2lR169ZVcnKyJCk5OVktWrRwhCNJioiIkN1u1969ex01V68jvyZ/HVbZ2dmy2+1OEwAAuHOUmYCUl5encePG6f7779c999wjSUpLS5OXl5f8/f2dagMCApSWluaouToc5c/Pn3ejGrvdrosXLxboJS4uTn5+fo4pODi4RPYRAACUD2UmIEVHR2vPnj16//33Xd2KYmJilJWV5ZhOnDjh6pYAAEAp8nB1A5I0evRorVq1Slu2bFGdOnUc44GBgcrJyVFmZqbTVaT09HQFBgY6ar788kun9eU/5XZ1jfXJt/T0dNlsNlWsWLFAP97e3vL29i6RfQMAAOWPS68gGWM0evRoffTRR9qwYYNCQkKc5rdt21aenp5KSkpyjB08eFDHjx9XWFiYJCksLEy7d+9WRkaGo2bdunWy2WwKDQ111Fy9jvya/HUAAABczaVXkKKjo7VkyRKtXLlSVapUcdwz5Ofnp4oVK8rPz0/Dhg3ThAkTVK1aNdlsNo0ZM0ZhYWHq2LGjJKl79+4KDQ3V4MGDNWPGDKWlpWnKlCmKjo52XAV6+umnNX/+fE2aNElPPvmkNmzYoGXLlikhgacmAABAQS69gvT3v/9dWVlZ6tKli2rXru2Yli5d6qiZNWuWevXqpX79+unBBx9UYGCgPvzwQ8f8ChUqaNWqVapQoYLCwsL0hz/8QU888YRiY2MdNSEhIUpISNC6devUqlUrvf7663rrrbcUERFRqvsLAADKhzL1HqSyivcg4XbHO2jAe5DgarwHCQAAoIwjIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAAC5cGpC1btujRRx9VUFCQ3NzctGLFCqf5xhhNnTpVtWvXVsWKFRUeHq5Dhw451Zw5c0aDBg2SzWaTv7+/hg0bpnPnzjnV7Nq1S7/5zW/k4+Oj4OBgzZgx41bvGgAAKMc8XLnx8+fPq1WrVnryySfVt2/fAvNnzJihuXPnatGiRQoJCdELL7ygiIgI7du3Tz4+PpKkQYMG6ccff9S6det0+fJlDR06VCNHjtSSJUskSXa7Xd27d1d4eLgWLlyo3bt368knn5S/v79GjhxZqvt7PfWfS3B1C3Cx716NdHULAICruDQg9ezZUz179rzmPGOMZs+erSlTpqh3796SpH/9618KCAjQihUrNGDAAO3fv1+JiYnasWOH2rVrJ0maN2+eHnnkEb322msKCgrS4sWLlZOTo7ffflteXl5q3ry5UlNTNXPmzDITkAAAQNlSZu9BOnr0qNLS0hQeHu4Y8/PzU4cOHZScnCxJSk5Olr+/vyMcSVJ4eLjc3d21fft2R82DDz4oLy8vR01ERIQOHjyon3/++Zrbzs7Olt1ud5oAAMCdo8wGpLS0NElSQECA03hAQIBjXlpammrVquU038PDQ9WqVXOqudY6rt6GVVxcnPz8/BxTcHBw8XcIAACUG2U2ILlSTEyMsrKyHNOJEydc3RIAAChFZTYgBQYGSpLS09OdxtPT0x3zAgMDlZGR4TT/ypUrOnPmjFPNtdZx9TasvL29ZbPZnCYAAHDnKLMBKSQkRIGBgUpKSnKM2e12bd++XWFhYZKksLAwZWZmKiUlxVGzYcMG5eXlqUOHDo6aLVu26PLly46adevWqUmTJqpatWop7Q0AAChPXBqQzp07p9TUVKWmpkr65cbs1NRUHT9+XG5ubho3bpxefvllffzxx9q9e7eeeOIJBQUFqU+fPpKkZs2aqUePHhoxYoS+/PJLbd26VaNHj9aAAQMUFBQkSXr88cfl5eWlYcOGae/evVq6dKnmzJmjCRMmuGivAQBAWefSx/y/+uorde3a1fE5P7RERUUpPj5ekyZN0vnz5zVy5EhlZmbqgQceUGJiouMdSJK0ePFijR49Wt26dZO7u7v69eunuXPnOub7+flp7dq1io6OVtu2bVWjRg1NnTqVR/wBAMB1uTQgdenSRcaY6853c3NTbGysYmNjr1tTrVo1x0shr6dly5b67LPPitwnAAC4s5TZe5AAAABchYAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFjcUQFpwYIFql+/vnx8fNShQwd9+eWXrm4JAACUQXdMQFq6dKkmTJigadOm6euvv1arVq0UERGhjIwMV7cGAADKmDsmIM2cOVMjRozQ0KFDFRoaqoULF6pSpUp6++23Xd0aAAAoY+6IgJSTk6OUlBSFh4c7xtzd3RUeHq7k5GQXdgYAAMoiD1c3UBp++ukn5ebmKiAgwGk8ICBABw4cKFCfnZ2t7Oxsx+esrCxJkt1uvyX95WVfuCXrRflxq86tm8U5CM5BuNqtOAfz12mMKfSyd0RAKqy4uDhNnz69wHhwcLALusGdwG+2qzvAnY5zEK52K8/Bs2fPys/Pr1DL3BEBqUaNGqpQoYLS09OdxtPT0xUYGFigPiYmRhMmTHB8zsvL05kzZ1S9enW5ubk51drtdgUHB+vEiROy2Wy3ZgduYxy/4uMYFg/Hr/g4hsXD8Su+6x1DY4zOnj2roKCgQq/zjghIXl5eatu2rZKSktSnTx9Jv4SepKQkjR49ukC9t7e3vL29ncb8/f1vuA2bzcaJXQwcv+LjGBYPx6/4OIbFw/Ervmsdw8JeOcp3RwQkSZowYYKioqLUrl07tW/fXrNnz9b58+c1dOhQV7cGAADKmDsmID322GM6deqUpk6dqrS0NLVu3VqJiYkFbtwGAAC4YwKSJI0ePfqaX6kVh7e3t6ZNm1bgKzncHI5f8XEMi4fjV3wcw+Lh+BXfrTiGbqYoz74BAADcxu6IF0UCAAAUBgEJAADAgoAEAABgQUACAACwICAVwSuvvKJOnTqpUqVKv/oCyXxDhgyRm5ub09SjR49b22gZVZTjZ4zR1KlTVbt2bVWsWFHh4eE6dOjQrW20DDtz5owGDRokm80mf39/DRs2TOfOnbvhMl26dClwDj799NOl1LFrLViwQPXr15ePj486dOigL7/88ob1y5cvV9OmTeXj46MWLVro008/LaVOy67CHMP4+PgC55qPj08pdlu2bNmyRY8++qiCgoLk5uamFStW/OoymzZtUps2beTt7a1GjRopPj7+lvdZlhX2GG7atKnAOejm5qa0tLSb3iYBqQhycnL0u9/9TqNGjSrUcj169NCPP/7omP7973/fog7LtqIcvxkzZmju3LlauHChtm/frsqVKysiIkKXLl26hZ2WXYMGDdLevXu1bt06rVq1Slu2bNHIkSN/dbkRI0Y4nYMzZswohW5da+nSpZowYYKmTZumr7/+Wq1atVJERIQyMjKuWb9t2zYNHDhQw4YN086dO9WnTx/16dNHe/bsKeXOy47CHkPplzcaX32uHTt2rBQ7LlvOnz+vVq1aacGCBTdVf/ToUUVGRqpr165KTU3VuHHjNHz4cK1Zs+YWd1p2FfYY5jt48KDTeVirVq2bX9igyN555x3j5+d3U7VRUVGmd+/et7Sf8uZmj19eXp4JDAw0f/vb3xxjmZmZxtvb2/z73/++hR2WTfv27TOSzI4dOxxjq1evNm5ubuaHH3647nKdO3c2Y8eOLYUOy5b27dub6Ohox+fc3FwTFBRk4uLirln/+9//3kRGRjqNdejQwTz11FO3tM+yrLDHsDB/N95pJJmPPvrohjWTJk0yzZs3dxp77LHHTERExC3srPy4mWO4ceNGI8n8/PPPRd4OV5BK0aZNm1SrVi01adJEo0aN0unTp13dUrlw9OhRpaWlKTw83DHm5+enDh06KDk52YWduUZycrL8/f3Vrl07x1h4eLjc3d21ffv2Gy67ePFi1ahRQ/fcc49iYmJ04cKFW92uS+Xk5CglJcXp3HF3d1d4ePh1z53k5GSnekmKiIi4I881qWjHUJLOnTunevXqKTg4WL1799bevXtLo93bAudgyWndurVq166thx9+WFu3bi3UsnfUm7RdqUePHurbt69CQkJ05MgRPf/88+rZs6eSk5NVoUIFV7dXpuV/Z2z9WZiAgIBCfZ98u0hLSytwmdjDw0PVqlW74fF4/PHHVa9ePQUFBWnXrl2aPHmyDh48qA8//PBWt+wyP/30k3Jzc6957hw4cOCay6SlpXGuXaUox7BJkyZ6++231bJlS2VlZem1115Tp06dtHfvXtWpU6c02i7XrncO2u12Xbx4URUrVnRRZ+VH7dq1tXDhQrVr107Z2dl666231KVLF23fvl1t2rS5qXUQkP7Pc889p7/+9a83rNm/f7+aNm1apPUPGDDA8d8tWrRQy5Yt1bBhQ23atEndunUr0jrLklt9/O4EN3sMi+rqe5RatGih2rVrq1u3bjpy5IgaNmxY5PUCVmFhYQoLC3N87tSpk5o1a6Y333xTL730kgs7w52iSZMmatKkieNzp06ddOTIEc2aNUvvvvvuTa2DgPR/nn32WQ0ZMuSGNQ0aNCix7TVo0EA1atTQ4cOHb4uAdCuPX2BgoCQpPT1dtWvXdoynp6erdevWRVpnWXSzxzAwMLDAzbFXrlzRmTNnHMfqZnTo0EGSdPjw4ds2INWoUUMVKlRQenq603h6evp1j1VgYGCh6m93RTmGVp6enrr33nt1+PDhW9Hibed656DNZuPqUTG0b99en3/++U3XE5D+T82aNVWzZs1S297333+v06dPO/2DX57dyuMXEhKiwMBAJSUlOQKR3W7X9u3bC/0kYVl2s8cwLCxMmZmZSklJUdu2bSVJGzZsUF5eniP03IzU1FRJum3OwWvx8vJS27ZtlZSUpD59+kiS8vLylJSUdN0frg4LC1NSUpLGjRvnGFu3bp3TFZE7SVGOoVVubq52796tRx555BZ2evsICwsr8GqJO/kcLCmpqamF+/uuyLd338GOHTtmdu7caaZPn258fX3Nzp07zc6dO83Zs2cdNU2aNDEffvihMcaYs2fPmj/96U8mOTnZHD161Kxfv960adPGNG7c2Fy6dMlVu+EyhT1+xhjz6quvGn9/f7Ny5Uqza9cu07t3bxMSEmIuXrzoil1wuR49eph7773XbN++3Xz++eemcePGZuDAgY7533//vWnSpInZvn27McaYw4cPm9jYWPPVV1+Zo0ePmpUrV5oGDRqYBx980FW7UGref/994+3tbeLj482+ffvMyJEjjb+/v0lLSzPGGDN48GDz3HPPOeq3bt1qPDw8zGuvvWb2799vpk2bZjw9Pc3u3btdtQsuV9hjOH36dLNmzRpz5MgRk5KSYgYMGGB8fHzM3r17XbULLnX27FnH33OSzMyZM83OnTvNsWPHjDHGPPfcc2bw4MGO+m+//dZUqlTJTJw40ezfv98sWLDAVKhQwSQmJrpqF1yusMdw1qxZZsWKFebQoUNm9+7dZuzYscbd3d2sX7/+prdJQCqCqKgoI6nAtHHjRkeNJPPOO+8YY4y5cOGC6d69u6lZs6bx9PQ09erVMyNGjHD85XKnKezxM+aXR/1feOEFExAQYLy9vU23bt3MwYMHS7/5MuL06dNm4MCBxtfX19hsNjN06FCngHn06FGnY3r8+HHz4IMPmmrVqhlvb2/TqFEjM3HiRJOVleWiPShd8+bNM3Xr1jVeXl6mffv25osvvnDM69y5s4mKinKqX7Zsmbn77ruNl5eXad68uUlISCjljsuewhzDcePGOWoDAgLMI488Yr7++msXdF025D9ybp3yj1lUVJTp3LlzgWVat25tvLy8TIMGDZz+PrwTFfYY/vWvfzUNGzY0Pj4+plq1aqZLly5mw4YNhdqmmzHGFPu6FQAAwG2E9yABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAJwx4qPj5e/v3+x1+Pm5qYVK1YUez0Ayg4CEoBybciQIY7fCAOAkkJAAgAAsCAgAbhtzZw5Uy1atFDlypUVHBysP/7xjzp37lyBuhUrVqhx48by8fFRRESETpw44TR/5cqVatOmjXx8fNSgQQNNnz5dV65cKa3dAOACBCQAty13d3fNnTtXe/fu1aJFi7RhwwZNmjTJqebChQt65ZVX9K9//Utbt25VZmamBgwY4Jj/2Wef6YknntDYsWO1b98+vfnmm4qPj9crr7xS2rsDoBTxY7UAyrUhQ4YoMzPzpm6S/uCDD/T000/rp59+kvTLTdpDhw7VF198oQ4dOkiSDhw4oGbNmmn79u1q3769wsPD1a1bN8XExDjW895772nSpEk6efKkpF9u0v7oo4+4Fwq4jXi4ugEAuFXWr1+vuLg4HThwQHa7XVeuXNGlS5d04cIFVapUSZLk4eGh++67z7FM06ZN5e/vr/3796t9+/b65ptvtHXrVqcrRrm5uQXWA+D2QkACcFv67rvv1KtXL40aNUqvvPKKqlWrps8//1zDhg1TTk7OTQebc+fOafr06erbt2+BeT4+PiXdNoAygoAE4LaUkpKivLw8vf7663J3/+V2y2XLlhWou3Llir766iu1b99eknTw4EFlZmaqWbNmkqQ2bdro4MGDatSoUek1D8DlCEgAyr2srCylpqY6jdWoUUOXL1/WvHnz9Oijj2rr1q1auHBhgWU9PT01ZswYzZ07Vx4eHho9erQ6duzoCExTp05Vr169VLduXfXv31/u7u765ptvtGfPHr388sulsXsAXICn2ACUe5s2bdK9997rNL377ruaOXOm/vrXv+qee+7R4sWLFRcXV2DZSpUqafLkyXr88cd1//33y9fXV0uXLnXMj4iI0KpVq7R27Vrdd9996tixo2bNmqV69eqV5i4CKGU8xQYAAGDBFSQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYPH/AMvW3qx45MtKAAAAAElFTkSuQmCC\n"},"metadata":{}}],"source":["# Plot the distribution of labels\n","label_counts = train_data['label'].value_counts()\n","plt.bar(label_counts.index, label_counts.values)\n","plt.xlabel('Label')\n","plt.ylabel('Count')\n","plt.title('Distribution of Labels')\n","plt.show()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IgInjDL0vkWd","executionInfo":{"status":"ok","timestamp":1694986050361,"user_tz":0,"elapsed":61,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"fc7e1497-629c-4f5e-a1ca-64f61887c540"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["1.000000    5866\n","0.666667    3894\n","0.333333     239\n","Name: agreement, dtype: int64"]},"metadata":{},"execution_count":13}],"source":["# The count of the agrremtns\n","train_data.agreement.value_counts()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"b9AF_bZ1vkWd","executionInfo":{"status":"ok","timestamp":1694986050363,"user_tz":0,"elapsed":52,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"5c2b8229-66f3-46d1-9781-f4cd1a990c27"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Plot the distribution of 'agreement'\n","plt.hist(train_data['agreement'])\n","plt.xlabel('Agreement')\n","plt.ylabel('Count')\n","plt.title('Distribution of Agreement')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"13tGOq0nvkWd"},"source":["The distribution of sentiments in the dataset, as depicted by the count plot, shows the prevalence of different sentiment labels within the Twitter posts related to COVID-19 vaccinations.\n","* Sentiment Label 0 (Neutral):\n","The sentiment label \"0\" (neutral) has the highest count, with approximately 5000 instances. This suggests that a significant portion of the collected tweets exhibit a neutral sentiment when it comes to discussing COVID-19 vaccinations. Neutral sentiments often indicate that the tweets may not strongly express positive or negative opinions but rather present factual information or observations.\n","\n","* Sentiment Label 1 (Positive):\n","The sentiment label \"1\" (positive) follows with around 4000 instances. This indicates that a substantial number of tweets show a positive sentiment towards COVID-19 vaccinations. These tweets might express support for vaccinations, share positive experiences, or provide information about vaccination availability and benefits.\n","\n","* Sentiment Label -1 (Negative):\n","The sentiment label \"-1\" (negative) has the lowest count, with approximately 1000 instances. This suggests that a relatively smaller portion of the collected tweets exhibit a negative sentiment towards COVID-19 vaccinations. Negative sentiments can encompass concerns, skepticism, or criticism about the vaccines, their safety, or potential side effects."]},{"cell_type":"code","execution_count":15,"metadata":{"id":"VAngL2XgvkWe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694986050367,"user_tz":0,"elapsed":51,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"3ba24523-4178-4f5c-e2fb-e23ba2019d26"},"outputs":[{"output_type":"stream","name":"stdout","text":["Correlation: 0.13815479087588003\n"]}],"source":["# Calculate the correlation between 'label' and 'agreement'\n","correlation = df_train['label'].corr(df_train['agreement'])\n","\n","# Print the correlation value\n","print(f\"Correlation: {correlation}\")"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"YvAN38HBvkWe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694986050369,"user_tz":0,"elapsed":45,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"df336152-006b-4ae7-bc55-772b6b8d6503"},"outputs":[{"output_type":"stream","name":"stdout","text":["max review_legnth : 153\n","min review_legnth : 3\n"]}],"source":["#Checking the length of the reviews\n","review_legnth = train_data.safe_text.str.len()\n","\n","max(review_legnth)\n","\n","#Legnth of the shortest review\n","min(review_legnth)\n","\n","print(f\"max review_legnth : {max(review_legnth)}\")\n","print(f\"min review_legnth : {min(review_legnth)}\")"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":441},"id":"mRM76hy9vkWf","executionInfo":{"status":"ok","timestamp":1694986051782,"user_tz":0,"elapsed":1449,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"c1316d8e-32db-45ac-bf91-eed794d4dc00"},"outputs":[{"output_type":"stream","name":"stdout","text":["[('<url>', 4612), ('<user>', 4517), ('to', 3407), ('the', 3388), ('of', 2196), ('a', 2133), ('in', 1897), ('and', 1827), ('measles', 1747), ('I', 1604)]\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAxgAAAGWCAYAAAD7WCXlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9d3hc2XnY/bt1esOg98beO7dwl1u1fVVWxVaxZEuW4pLYseM4iT8/iRPnc2wncRw3uXyWVSyrS6vVarW9ksu+7A0AQfQ6mD5z6/n+GBAkCBYQBLlLCT8+eAicufecc+/c8r7nbZIQQrDAAgsssMACCyywwAILLDAPyO/2BBZYYIEFFlhggQUWWGCBnx4WFIwFFlhggQUWWGCBBRZYYN5YUDAWWGCBBRZYYIEFFlhggXljQcFYYIEFFlhggQUWWGCBBeaNBQVjgQUWWGCBBRZYYIEFFpg3FhSMBRZYYIEFFlhggQUWWGDeWFAwFlhggQUWWGCBBRZYYIF5Y0HBWGCBBRZYYIEFFlhggQXmjQUFY4EFFlhggQUWWGCBBRaYN9Qb2bkQgrfGTvD22Cnuq1rF2lgLkiTNW//jRoYDE2eIaH42xdvnrd8F3htYTpLe5P9gNPsv17Tf4oovEvU9cMlrTQhB6Z+LIl358u/N7Wdf4lusiT1Bc2ALkrSgj98qmEUTIQSaR0OWF763G8FLw6/gU7ysja7Br/rf7em8JzAcky91f5knah+lxlfzrs6lN9/LzvFd3Fd5D3FPfKrdFS6ucJElGXken2mjySzfee0Qp/pGefS25dy3ftG89T0fZPMG//2rL9EzMkHQ66GltoxPPriBmnj4ku8K07L51qsHeePQGe7fuJin7l4973Pae7KXrv5xPnDXKjRVmff+AUzHwnDtqe/cq+iokjyvstgC7x2EEDiuQFWu7952HBdZlq7rOrmhCobp2uTsIjm7SNYuYgsHx3WxXAdbOKiSgi0cvIqOV9YwXIuiYyEQ6LKKX/EgEGSsAqqsYLkOsiQRUn24CDyyysayNryKPjWmI1wKjonl2gD4FA8eWaXgmJiujYtAkxT8qgdXCAqOgRACF4EiyYQ0HxLv7o0nhAsYAEiS7zr6sQB12gUihCj1LRwkOXB9E70FEbgkzX5S1gAtwa1X3FaWNLxKGBkNgXiXr4oFLkS4Atsq3eOaR5vx+c5n9pGdyLHtg1sIx0M3e3o/E9xXdc+7PYX3HB5F5/Ntn323pwFAg7+BBn/DjPaUlaI330fcE6fOVztv41VEg7x/2ypeOdAxrd2yHQqGhe26qLKMz6MhSxIF08J2XIQQSJJE0OdBkWXyholtOziuwBWCoM+DR1MoGBaGZQMSHk3B79WxbIe8YaHIEpbtoqkyAa9+WaEoFvLx5J0rWL+4nv/8jz/h7NAEFdEgjutSNG1cIdBVhYBXR9dUPnjXatSLBH/HdSkYFpbtIEkSPl3Do6sYlk3BsHBdgaLI+D0amqpQNG0M08IVAvnccSoyBcOirTbOkoZKVEVGCDF1PFB6V2uqQsDrwXFd8oaJ4whc10VVFQJeDVW5slJiuTY/HNjD9/t2MVhIUOON8em2+7mrYgUqN0bJcISN4Rh4FC+KdH5+QggMt4jlmuiyB4/infrMFS62KB23LnvmPKZX8SJLc1fUSv0UEQg8shdV1i74zEFCmlLK52vM+aZoWBw/PcT6VY3X1c/x00M01MWIhOYug95QBaMnP0bRsVgRbWTCzDJUTHI81cuJ9AC9+VFqfWUMFia4s3I591Su5KXhwxxJnsV0bWq8MX6p7T4KrsUfH/8eS8P1DBQShDU/v9h6Hykrz48G9tGZGeK+6lXcU7UKIQRnc6O8OHSQ/vw4rhA8WreRTfF23hg5xoGJM2TsAlEtwKdb72HCyvHlrlcJaT6ydgFVUvgPKz6ELt/Q03J1RA5h7QFkJM/2uXdj7kHSVoMUvKDVBXMvwh1D8r3/Oid6Y5EkCVnSkSUvQjgIXMC5rj4NJ8eZ7NskZ6Fg1PlXUedfdV3jLXBjyGcKnNzTgeZRWbVt+YzP737qtnkby3UFBav08gt49KtsPV9juhQmFaj5GDORzePTNbyaet1Che3a5J08hmPgU334FT+yJOMKl7SVRpEUTNfCxcEjewmppeePQJCxs5iuCQhUSSOihZElGdt1MNwirnCxhI0jbLyyj6AaQCAoOAWKky9+XfbgV/yosoLhGOScPI4oPRcCih+fUnohWsIiY2VwcZGQ8Ck+AmoAIQSma5JzcjjCRZVUAqofXS6dZ0c45O0ChlsaT5U0gmoATZ6pyF6I4Rhk7SyOcInpUTRZwxUueaeA7do4wkGTNRxhIyHjVTzYro0lLEBCkWQs18aj6PgUHzIySSuJXwngmVxES5pJvIoXXdZJmBN4FS9Fp4AA/JPH5wqXolMk7+SRJZmwGkaVVVzhYrgGXbkznM50sCjYjkfWCagBVEkl7xTwTfYNkLNzuEIQUP1ztnQ4jsuhzkFe2HeKTK5ILOTngY2LiYV8fP+NI4ylcwgBpu3w2Ue30FYb5+sv7ieRzjOSzNHZP8bv/Pw9rGmr5ZuvHKRjYAxZklhcX8FH711L91CCrzy/j8bKKIPjaRbVV/DBu1aha5d+hzuuIJEpcPzsCJIkEfKXFjF/svsU73T2Y5o25dEAn3/idnz6zD6EEAyOp3lmxzH6RlN4NIUty5u4d/0ijnUP88LeUyQypXvtyTtWsKa9jlff6WDn0bNYtkN52M/HH9hAVVmI3cd7+MFbR2ioiPGrH7gDRZF4p2OAr72wn8pYkEzBoK48wheeuI3ekSTffOUdTMuhZyRJQ2WUzzyyicbK2BXP/5FkD9/u2UFPfhSArtwwf3biadZFW4jpwSvuO1eGiwPsHH+F7RUPE/dUTvvsnYld7Jt4ixWR9WyvfHiq3XAKdOZOoEgKy8Jrr3nMkeIgb469wH1Vj1OmV8x57mPGCDvHXyFrp7ktfg9twaVTn/UXugmrMaJ62bQx7696kpgev1yXs8J2XAoFE9OypxTUYMCDrqmkMwWEKCm2tu0SjfjQVIVs3qBYtBCAz6MRDHgwLYfegQm+++wBGuvKUFWFSMiL47jk8iaGZaPIMn6fjs+rYdvOVDsCQgEPmqaQK5g8+/Jh7r1jKc0NcaJhH4py7QrpDZOkhRCcyQ4zaqRYGqrjYPIsld4oAmgJVNIUqCBl5Vlf1kZXdoju7DBvjhzns+33EVJ9/O8Tz9CZHabWX4YkyTQFKvhky/ap/iuVCA/XrOMN9fhUmysEu8dPE1C9/IcVH5qybAgh2BRvZ02sGYD/fvQ7pO0CACNGit9c+jhRPcC/P/Bl+vPjtASrrnBcJogsoCPJQYSbB4og+UGYIDIgbJA8IMeQJA9CFMFNlNoRoNQioSJEAdyxUseSjCTXloRoYSApi0AOT45pl8YUORAuIIEcmRw/c9GYZZMnI4kofB1J0hFyNSg1gAwiDUoDkrpssm93st/UuQMEOYgkRyfnnQJhAXbpGOUYknRzhCwJnZBnI65rYIsUjpvCdjMIYSCEjStMLGcEgXXVvhxhk7PHmTB6GSgcQZZUxopdAKiyB78SQ1dKbh4FJ03BTuKKkoAX0qrwKOetPbZrkLXH8Cph8vYEkiQTUivJOxNYbhGvEsSvlk1ZwoQQWKJIwU5iCwMJCV0O4FXCqPL8n0shBGbBJDmaxiiYAASjAaKVYSzDJj2WppgzEEAg7CNcHkZRZYbPjhKtiOALllaWhs+OEoj4CYT9IIGRNxkfSOA4LpIEoViQaGUE1xUUs0WSoykcy0HzakTKw1P9XI5CpkBqLINpWEhAKB4iXFZ66fWeHKBhSS2yIuM4LiNnR4lVRfH4dYy8Qdehs+z84V7qF9cSrYwSCPuIVUexLYfMeIZsKo8/5CNaGUadFDYswyI5kqaYLyJcgTfopaw6Sj5TxCyYFLNFvCEvwnEp5k0q6uN4Ax4KlsWB7n5cAXctbZn37+uS58ay2d/dD0Ji29Lm6+7vb1/ezR1Lmtja3oh2lVXPq5EwJ3g7sYudY7vYEt/EfZX3ENJCmK7J/9f9T9R6a0iYEyStJFWeSj7a+BECip/+wgAvDL/ImDGOEIJqbzUfa/wwHsVDwkywY2wnGTtDwSmQMCdYF1vDPZXbSZpJdif20ZXrxHQtqrxV3F2xjXpfHZ25Lt4cfYuklUIIweLQIh6peQhd1jmaOsYLwy8BoEgK66JruKdqO3mnwDvJgxxMHiTvFAipITaWrWdNZDWqrDJqjPHG6Jt057pxhUu1r5r7K++lzl93xfNyJtfNi8Mv05nt5NcX/SqtwRaydpZXRl5juDhM3ikQ1kKYroUiKSwNLWG4OMywMYIrXMJaiISRoDHQyPaKuwmqAf7+zD/yaPXDLI+Untdf7flnNpVtZFloKX968n9zR/ltdGQ7KTpF2oPtfKDuCWxhczh1hNdG38AVLp9q/gS1vhpsYXMifZKXhl9h1BilM9tFQPVzT8V2KrwVPDf0PJvLNrI8vAwJiZ8MvYAma9xbuZ2AOjdr93g6z4meYVa11PDI1mX86O1jHOseZllzJclcgfs3LObOVS38+XfeoG80SW08xOn+cT7xwHp8Ho2/+t5brF9UT+fAGHtP9vK7P38f4+kc337tED3DSQBURWZNex2ffezKC0YA2YLBD944QiKb5+fvW0drbZyRiSxvHuriUw9tpCzk50+/8Sqn+8ZY3Vo9Y3/DsjlxdoRkpsAXnrydw12DnOwZZUVLNe11carLNiAB//ziAXpHkqxpr2VgLM2qlmrWLqojHgkQ9pdW6O9e24bjuhw/O8I587grBHnD4nd+/h6GE1n+7odvM5TIkMoVEQI+88hm9p3qpVC0rqpcAPTkRyk4xrS2hJlhzEjPWsFwhEPRyZcUbiGQJRm/EkSRVApObsoakbXSyJJSckMWLmk7iUCgyTohNYIsyWyKb8MWFvbku/Vc/5awqPE24FP809rzdg7DLclqPiWAXwlcVsgVuKSt5KQrmEJUK72D806WgpNHQsKj+AiqIWzXJmOnppR9vxrAp/ip8tayqexOTmWOTJtHwc6xb2IHjf5WmsUiwlp08vtySVkTOMI+P6YkXbMXTCKZ4/nXjtHTn0BTFSTgfdtXsGJJDd/7cUmxdF2XRDLPz39gM5XlIX7w3EF6BycQQlBXFeXDj2+gfyjJ088f4vjpIb787bepq47y1GPr6R9K8vzrxxlLZNFUhY2rm7hjcxtn+8Z5dccpRsYyuELw0D0raKwr463dHRw63k8maxCL+vnEh7ZQUXbtCukNUzAKjslwMcXBiW768wmGikka/OUggV/VcSmZP72KhuO6JMwsCTPNd3reRpdVanzRqQtJlxSaA5VXGbHkklVacfFMWSEEgrxj8NzgARJmFl1WGSwkcFwXJKj3x/HIKhIQ1LwU3asIq+44ovhiSdD2PYqw9oJ9CslzHzj9uMYbk8K6guz/JGhLEObbCOO1khIgTOTQb4FcjjCeQ5i7AB0kH0rot0AYk+27kfS7kPxPgUgjis8izL0gx8BNI3nuAe9DYL2Da7x1wZi/AHIEt/hjhHUUt/AtkELIwX8NUghh7EAUn0bS1iIF/xVgIMy3cAvfR1LqS/0oi5ADnwbrMG7xxyAcsDuQ9LVI/l8A5fIK2HyiyD7igceJBx6fahO4OG4ex01TtDo5k/g9DLvnqn0VnRQHEt+mP3+EpNmHLCkkjLMAxD3NrI19gFr/SgD68gc4knyWCaOXvDPBQ7X/ifbQnVN9Jcxenh/8HyyPPEhH5k0MJ8MdFZ/lZOYVxopdVPuWc3fVr6DLPoQQFJwUXdkdnE6/Rs5JICNT4W1jafgBanwr5l3JMPIGh14/xivf2EF6LA3AxgfX8ugvP8DQmRFe/uc36Dp0Fsd2qG2r5tHPP0B1SyX/51/9HR/9d0+y7r6S1eaLv/1l7v7wbdz+5CZUXWXfi4f40RefR1ZkZEVm8yPrefRz95NL5Xj7h/vY98JB8pkCwWiArY9t5LbHN1zSfekcnQfP8tLXXme0bxzXcWlb28KHf+txFFXht7b/Pl/u+Ev8YR+FdIH/9ct/w6f/4KMs3bSIvlODPPPF5zm+6zQn93Rw8JUjrL57BU/+6kOkRtO8+b1dvPiV11l+22I++jtPEq8tKd1dh3v48T+8xGjvufGaeeo3H2PH03s4va+LxFASX9BLpCLM6f1n+NjvPMmGh9aSM0zqyiJEfCWFqWhZTOSKWHZp1VySJDRFRlcVDMvGsB3UScUo4NXx6RrpgkFZwIdHUxmcSJfcJCSJ8Wx+anXKo6nURMM4rkvOMGkoi06NCZAzTMYz+ZIC6ThE/F4qQgEKZmk+pm3j0VTiQT8eTWUiVyCVLyJLEsXJFar5oNJbwRO1j+G4Np6Lrt2MlUH1N/ALzZ8A4A+P/xEDhUFaAk38cOAZqrxVfLLp48iSTN4p4FHOu0OkrBS2sPlo44fxK4HJOCmFvRP7SVoTPFD1ALqs8ZOhFziaOkaZHqNcL+eB6vvQZZ2kmeb/O/Ml7q26B03WOJo+xtLwEm6P34ZX8eCKkjvOQGGAt8d3cV/VvUS0MEdSR9k/cYB6Xz1V3kqGi0M4wuHB6gdoDjQBTFlFrsTS8BKaA0388Yn/Oa1dCEGVt4qWQDPPD7/AA1X305fvpy/fhyzJrI+tY6Q4TNbOcVfFNs7kupkwEwSvItSnrCRBNcC/WfRrDBWH+auOv2FbxR1Ue6vYEt9M3BPn+aEXprbXZZ11sbXIkszx9Ak2lW2gLdhWmiOCMj3GQGGQJn8jsiTTnevm0dpH8CpXXii4EkXTQggIB0rfc9jvJZktUDAsyiMBwgEPsiwR8Oo4roskS7TWlPHjt4+jayqP37EcRZEYTeUYHEvzlef3ggTVZSEkCRAQ8Hqor4jMaj6RgJfHb19O70iSVM4gVzSZyBQYS+f4zmuH8OgqldEginxpAdGyHUZTOY73jJTmAjRVxbBsh13HezhweoCgT+f42WGaqmMI4P13ruSNQ11857VDVMVCPH7HCuLhi2KWJu9NRZZorIqiKQqKLOH3ali2QzjgxRWCb77yDlWxIFuWN83qeL2KNsP6pMsqHuXK1rgLyds53pnYSXe+A78axHYtVkY2UOWtZd/EW7QEFrM4tJJdiVeJanFiejlZO8O+xFtYwkKTNN5X/SGC6qVdVQ2nwDvJXXRlT7A8vJbN8bsRQjBuDHMguYuEOYoELA+vY0VkPQqXXiDJ2Vn2JN7AFQ55J8dT9Z/Bo3jZMfYyCXMMEMT0crZXPkLBzrJz/OVJhcShNbiELfHtl1QMCk6OY+l36MqeYNwY4WyukzvK7y+N6WTYm3gDR9jknRwfbvhFAkqIa9QvACgaNquX1fPIfSv55tN76eoZo7mhZBnx+3QevmcFZbHSM+HIyX7O9if41794D36fhz/882fp6B5h1dI6PvbkRgaGkvzbXy7NMV8wOdk5TD5v8vEPbObQ8X5Od4+wuK2SfQd7CAa8fOJDW/Be8K5+4sE1HD4xwIcfW8+yRXOPJbthCkZffhwJ+MW2+1kXa2HH6Am6c6PknSLNgaoZ57/OH2dRqJZHatcTUL0IBC2BanJOESRmxBEUHJP+QoJxI4MQgtFiiogeIKr7GS6kOJ7uxyOrxD0hkmaOUSPN2mgz1b4Y+xOdSJKEQCAjcS1XgyRXIpQqsE8g3AQ4PSD5kZR6hBREVkpfhpv9c4Q7giRaEIXvIPs+haSvh3O+eqKIm/sSSuxLSErZ+f4lD3geATH9JhKiCGobSuBXcIvPgDtcsi6oS5GVuskx/wzhjiJri1ACn8Q230AO/AqSesHDyPs+EEZp/6nObSTJjxL6XcQ5pcIdRbgTSFIIyfcwwnwTlDqkm6RcXA4JGVUOospBQCBLs/PX9Cph1pV9iKbAJvYlvolfiXFb+acBUORSrMU52oJ30ujfwOnM6+wb/8Yl+zOdHOPFbjbHP84bI3/LayN/xfqyp6j3r2H32NcYLZ6mzr8aWxh0Z3exP/FtmoOb2RD4CEUnzYn0SxyY+A667KfKt+R6T8s0hs6M8PLX32TtPSu5/xN34dgujuWgezUi5SFuf3ITtz+5iWLO4Nv/6xm6j/RS3Xx1Bf7w68dYumUR93/8LvwRH4jSvdhzvJ+XvvY6j33+QWJVEd555Qg7n95D25om6q7wcKqoj/PgL2xH1VVSoxn+5re+xPs+vZ1YVfSy+yiaQvu6Fj7x/3yY7//fZ1l33yru/MCWqc/L68p4/689jCxLJAaT0/Y9c+gs/pCPj/y7J2hYUosQEJx8YFumzW/9/b/iVzb+Dr/1979Cy8pGDrxymBX3ruSNE93sPH2WLW2NfHjrKnrGUvxw/3EyBQPDtvF7NCI+L9GAj7FMjuFUlqBHp2jZLKmpYGldBa8c6+KjW1fTXBHjS6/v565lzQS9Hr744i4WVcfJFE1s1+U/PHEPjuvw+vEz7OroYWt7Ex/aUlJ8e8eT/OTgKSbyBc6OJnlw9SKe2rKKfWf62dPVR9GykYDH1i+jvSrOD/cfp3t0grDXQ89YEkfMk4ZxFVZFVpZcfCSZMj1Gzs4iEHTnzvJk7eNTrkbnXKfOEVADRPUoEe28sJizc4wb45zInCJhTky1exQPtuvQlevidLajFEcnBBk7M+UrvaVsM88Pv8grzqs0+htpDTbjEz4SZoKzubO8PvrGVH+13popN6sGfyP9hUH2TxxgqDhMS6CZBn/9nM+HJmuEtRAe2UNEi1LhqWC4OIIlLGJqjLAaIq2k8cheyjxlnMl34+BO7X8uLYWEhHvRd7ipbCMSEiE1SFgLk7WzwLU/oyUkVkdWsWN8J2PGOGPmGOWeCsr18ml+9JdDCEHBsOgbTTKeygEwPJEh6PMQ8nvoHUlyum+U3pEkIZ+HaMCHfImVXtcVZPMGq9tqaakpA6kUW9FaU8bylmo+dPdqJAlURaGxKkrXwDiSxDWvGN+7YRF/8Z036RwYp7WmjMUNFTywcTGRgA/HdWmri2M7Lj3DE4ynciiyTP9YiljQR3tdnA1L6nloc8l9JugvLRYMjWeoKw+zcUkDiVQOZTLINm+YLG2qorU2zlee38edq1soC/kYGEszPJElmSnQMzxBbXnpHSRfdCznYjO8usZda1qJBr0EvB5sx7lqDMbiUB1NgUrSVh7DsfCpHtbFWin3hK9JCLaETY2vgfuqHmdP4g0Gi70E1fC0bQTn1zBc4XBn+YNUeWv5p+4/Z7jYTyB46fecXw2yLrp1muIgcDmb78RyDT5Y96lp8RqXw3QNtlU8SJWnjn/q/nPGzGE0SedE5hAfrP8UBSfPm6PPM2oMUqFXsyF2OyDRlT3B2VwnW8q2X/KcBNUwG8vupK9whqWh1SyPrANgsNCL5Zpsq3iQSk8tX+r+P4wZwwT8ocljEFiuzan0ALZw8Sse2kLVKJdxN/R6VLweDQkI+D3YtjO1iFVXHcHnO68ApNJFyiJ+ZFlGkiAeC5CYyJ0/f0JMxTZZtkMimedU1zDff+4dBNBUX4bjuKUFeb8HXVMm9yvtL0nn+mCqn7lwwxQMw7Wo8kZp8pcD0B6qYcLMoUgSZZ4gQgj8ioeI5qfOH6fSG+Hh2vXsHDuF7ToosswvtVaiSjKtgWq8F62UjRsZ9ie6SFo5Co7B0VQvG8va2BxfxI7RE7w0dBCQuKtyOYtCNTT4yzma6qUnP8aKSBNh1YclHFqCVSiTWWbagtUElKsIrJKCpDQinF5E8ccgLCRtVcltx3gJ4fQiSSGE3YOEDaIIKCAHOJ8VWICbn3RpCpxvKw1w6WGlYCmWQlJK+yGDSCHMXQinb3LMXqQL3YWEy/nb/goXiOQBpRYkdfLHU1I65BiuSCOKP0ZS6pHUWzceQZE0wlo1lmugyl50JUDUc2mXB1lS8CjBUoD3FTJNtYZupyGwnjr/Snpy+1gde4KclWDf+DfJWiWf15w9Tld2B2V6A5vjH8erhACBhMye8a8zWDhKpXfxvAbb5VJ5csk8a+9ZiaqpqBrgA9dx6TnRz65n92MWTCRJYrBrCNu0uHB5+9wDxXXcaYve2z96Oz/4i+d47h9fpmlFA0s2thGI+BnrT3DmSC+vfWtH6ckENCyuxXUvL9A6tsOJ3ac59vap0kPMdZkYSeHYF8bYiKmsX47tXrav2bL67uUMdY/w1vd2U7e4hsXrWwlNKhhVjeXoPp1QLEj94lpy6TxGziTg1bl/ZTuuO338WMDHsroKRtM5wj4vjuvSPTpBfTxCa2UZE9kCNbEQQ8ksmYJx0UzE1HmdyBX4/H1bEQj+4zd+wmAyTWtlGfevap9MyHCepbWVNMSj7OroZbQ2y51LmknmCuw70088GGBjax3PHjhBx9A4iiTRMTTGL9y1gZaKMn7jKz9k3kwYV0GX9GmrpueO1q/6SJgT1PhqkJBwhIMiKVPXvizJaBfdb4qk4FE8bIpt4MHqB/CrPkzXREam6Bq8MvI6D1bfx5rIaoaLw+xPHpjat95fx2dbP8PJ9Cl2JfZwNH2UTzV9Al3RafQ38qmmTxDVIzjCKcVHSOcVn/uq7mHCnGD/xDv8eOgnPFh1P8vCS5kr586HxPmsLIJzcWaTn10gcIvJfWRkDNfAFS6mY5K1s9OUDF2+OKD56t+xhFy6p8T0a7op0MiuxG4Gi0McTR9jZWTFrF2jhCi5Q+090UsyW6Rg2hzuGuS25U2saa/lrcNneGbnMaqiQda21xHw6dRXRAlNugvVVUQoC/kZTebQNYWj3UOc7B3lzGCCX3xkM8ubK3lw42J+9PZxZEkiHvZTX7EWv0ensSo2JSBdCUWRaaqOEQl4KQv5uX1lM8lsAZ9H45Ety3jryBks20Ug+OXHb8N2HN44dIaJTAFZkth1rIf7NixicX0FY8kcz759HEmSWNZUybbVrTRXl7H3ZC9vHOoiFvLTWBkFIThwup+OvjFAYsuyRsojpTigXcfP0juSxHIcXj/UycNblhEOeEuKFeDRVJqry0qLJZkChmXz1uEzZAsG5ZEg79+2kuqyKyewaAlW8fNNd/Gar4wxI02dL87767fiUzzXpJSpsoqECgI8kmfy/rWnBNlSXJOBO6mke1U/ilz6TgJKEMMtXPDUuzrn7kld9kwFWp/b/3Lzjmnl6LIHSZLwKn4s18QQBhkrxd7EmwBUexuQkBko9rIn8TpRLc6oMYgQ7pQSfzlK7yKmbXepMc99LkRpof039/8DecdgWbieP9vwWYLqpa2h+bxJ38AEJzuHGRpN09IQx++blHul6QvhzQ1xduzr5FTXMB5dJZUu0NpUij1RFBlFkTl+eohIyEdFeZDWpnKyuSJ3bm5HAJGQj8ryELGon+HRDEdODqJrCpXlIaJhP0gSPq9Oz0ACVVVoqi/Dc4mYpKtxwxSMVdEmVkXPr5xXeiM8WrfhktsuDZdWh9bGWlgbm+7jrKPyiZa7p7VJkkRDoJzPtT8wo68gPp6o3zyj/YMNl/bP/HjzXVO/XxjjcUWUhpKLU/EZJH0bqEtKwr47gqTUIalLkayDlBSLICg1CPsYiDwgg7oUSY4gKTVg7kBIUZBUJHUpAhthnwS3H9AQ9hmQfFxSQXCTCGd4UvhfgmS9UxqzdJaQ5PDkuGlQl5U+s0+A04twEwjrJCjnVq4v1qoFQhggBZD0jSUFB4EQFpI0e/PqTzM+NTIZT+GfjLkoBUGpkoZDycfUdPNMmP1E9RoGCuf9OifMPizXIGdP4GKjMH/nVNVVFE0hMThBZWMFwnVxXYFt2ux/4RC4gk//wUfJJvMMd5cUIVlRUFSFfKaAY7sUc0VSY2lc57wQ0rCkjn/z17/MsR0nefWbOzjw4mF+44u/jDfgoWVVI5//k09RXh/HNm0c20H3Xt71q5At8tLX3mDbU1u5+6nbGDwzzJ7nSsKhopbmkpnI4Qv6SI9nySQy0/aXJq2almlfqvtLUlYd4+d+9wP0dwzxxnff5qv/9dv82l/80tTxn7vDZLV0L1zpdagpMn6Pjt9jEfCUXKBcIfCoKn5dx/I6+PRSkK8klVyg3MkXcW4yhS5AQzyCpspYtkPAo2PYlz+egmlxuHeI4VSGTW0N1JVF6B1PkioU6RtPkcoX0NWSi1TRsvHpGqpSWuEK+zzI86TETphJxs1xxsxxdFmnM9tFg78B7xUWZ2RkNsU2sXdiX+kFLEnIyCwOLZoS7C+FR/HQGmjhePoEeyf2UabHKDgFmgJN+BUfUS3ChDnBycwpevK9wHkB5Hj6BKpUCmpvDjTRlT2DIitUe6uJe+LsGN9Jo78RyzUJakFaAy0oKIwaowwXR1BllQpPOQOFgRmWg0vRk+8lZaUoOAXO5nuQAP8cYxegJNTV+mrpzHYhIWG6FgW7wNWUCNM16S8M0JPvIW1lODMZS1LhKcejeAipQSQkOrNdOMKh2ltNTI+iSAqrIis5mDzMmDlOva9uhgvc5ZBliYbKKF948vYZnwV8Hpqry2a0P3b7+eQMj2wtxZi8daQbn0fntpW1eDWVlw90ki0YKLLMtjWtbFvTOq2PuorIrNPH+jwaH7ln7dTf929cPPX7mvZa1rRfnFFL47OPbeFSPLx1GQ9Pzvkcd65u4c7VM2O0Hr99xSX7+OBdM+ddEw+zpKH0Ti4L+/novWtJpPMcON1Pe12c5c3V9I+mGEvlKBpXjz0E2BRfxKb49aUMtlyTlDVBd/40o+YQfiVATI+jSAojxgAexcuEOU5MK7n0GE6BgUIPaStJ3s0R91QiEAzke0iYozjCZbDQS7mnCle4DBR7SZijqLLGaHGQqB4nrEUZNYbozB5Hk3UiWoyoFr/sYtyl2qu8NTQF2lgV2YgkSSiolOlxTqQPIyGxKLQcVVYZKQ5OZixNMVzsZ8Icxyv7iesVhLQosiTjUXyMmUOczXVS7a27YMxLz8cWDqfSA+SdixeYLo3XqzE8muGN3R1EQz6WLarB69Gor40RjwWmue3VVUe5Y2M7ew+dxXFcbt/URmNd6R4LBbxsXd/CqztP0dZcwftqlrO4tZJUusDrb58GCZYvqqGqPMSmNU3s2t/Njr2dSMDtm9oIh3yossydm9s4cmKAoZE0FfHge0vB+GlGkgOgtoG2BtRFSHIIhI6kLgX7FMI6hKStRFJqARnZ97FJ68YOQCApDSD5kAP/CmH8BFAm3azagRzYR6cCwoV1AklfU1JqpsavRkieUrC2tgzs0wjrMJK2anJMABnJ+xhYRxBOf6lvSUZYBwCjFPxtHUSSt5XcnsTkTSBFkNTFgHM+wNt6B9cZRVKbkbyPX6CU/GwjI8Oki50yQ0gqCQFCCGxRYLTYyf7Et6dtEdDKCGkVJWFzHrMFltXEaFvbzI4f7CE5ksZ1XcpqYjQurSMUDzLYOczB144xMZQkOZZGURU0j0rLykaOv30Kx3GxDYtCtjit3/0vHUKSZGRFomlFPV0Hz6KoCvWLa6ltq+aFr7xGy6omzKJJrCrCsq2LUS+TkU2SJMpqY4z1jXPg5cP0nRrEsUs+2B6fztIti3jlX96keUUjo5OrfxfiDZRiJU7t7SQQ9lHZUE7zykYSQ0n6Tw/Sc6KfzHiWw2+eoH1dC1WN5XQd6mZ8MImqKdS0VtF9pPeq57JgWhztG6Z3PIUkQcfQ2GSqzEt/ZZd634R8XiTgaN8wE9k8Y9n8lHVnxktRlMY81jdC73gKWS5ZIurKIpwaHOOlI53Ul4VJ54v0JVJE/T6W1VbiuIL2qjJcAW1VZciShCxJHOoZYjybZyJb4AoGpWtizBjjWPo4iqTiCJdTmdPoiodGfwPLw8sIXFATY3FoMTG99IK+p/Ju3hrfyYFkyUxf6alkUbBUv8ijeKjz1RG6SCCXkFgZWYEqq5zMnKIz24Vf9VHtraJcj7Ot4g6OpI4yVBymLdjG7fGtU1mQ0laGrlwXiqQQVIM8VP0gEhIVejn3Vm5nf/IAexJ70WSNZeHz7huma3Em103KSqHKKsvDy2mchYtUZ7aTEWOUpkAT/YUBCk6BVZGV1Piq8St+QlqQlkAzXtlLlbcSj6ITVEOE1BBV3pJbU0D1U++rm1ICtlXcwZ7EXg6njlDlreK28q1UeirRZI31sXWTz6CSMrIktJigGqToGJxMn2TcTFCml3E214MjHEJaCI/iocZXTXuwjROZkyTMBFvKNhPTowC0BVt5Yfgl2gItRLRL14e4kSxvqqR3eILDXYMIARXRAGtnCP4/WwT9HhY3VPL20bPsOdGDIsssaaigvnJ2cSfzgSbpGE6R05mj6LKX1sBSonqc5sAizuRO0ZE5RrW3jkpvLQE1xLLwGhLmKH2FbpaH1xHXKxHCpTt3enKBAc7mOwlrMRxh0V/oxqWUqnag2ENAC9Pkb8N0DTqzxwGJ1uBSIlqMS9WH9ip+6v0tUyluG/wthNQIES3GprK7OJkpKRR+JUiNr55aXwMDxR46syeQJYVFoeWAIGklGDNGkCWZlJVgzBzBr4ZKSRnCq+nMHud05ghhLVoa09c89bxp9LcSVMNTCxyWa/NO8sysz7FX19iyrpm7tk5XBu+789KW09s3tnL7xtYZ7cGAh6cem76YHw37eeCuZTO2jceCPHLfysv038btG9tmO/1LIomL7fA/Q1hOhrHifsJ6O361ZqGQ2gUIux9hvFL6Q20Dp4tzaXMl5d0tIHUOw+7n5MhnKFinp7VfqdBewujhzdG/w6/EuL/m316x/47Mm+wc/Uduq/jMtCDvkWIHz/T9Po/U/R6V3qXsGP0Hhosn+VDjn5Kzx/lez++wPv5hlkceYtzo5tXhv8CvxthU9nMzXK68SgifEpnXa891XIa6R9j59F6Gz44iKzLLb1vCbY9voL9jiN3P7mdiOEX9kloK6QKr717Oog2t9Bzv563v7yY9nqG2rQrHdlh+2xLa1ragqDIvfPk1Tu3tRFZkQmVBbn9yE21rmrEtm57j/bz9zD4mhpPoHo2V25ax+aF1KFdwXTj0xjEOvHgYo2CyaF0LvSf7eewL7yNWFeHUng5e/dbOkrVyaS22YbPu/tXUT8Z0WIZFxzvdvPW93ZPzXMy2D23lzOEe9j7/DqO94zi2QzAWYNWdy1h++xJO7eviwIuHyGcKaB6NtfesZPXdyzm5u4NcKs+mh9fxtf/6LZ76rScY6BjizJEetnxkKz86cJLxTA5JklhaW0FTeZTRdI54yE+6YODTNQqmxUg6S00khK6pFAyLsN/DcCrL0tpKjvYN0TmcwKupCGBrewNeTWPn6bM8tWUVtuPy9L5j3L6kGb+u8ew7JxjP5JEnx9zQUs+poTFeP9FFRSgIEqyoq2Jdcw2DyQx7z/Qzns4hgHtXtNFSWcberj4O9w7hUVWEEGxub6C9Kj7lEvpeJpPI0ntyAMd2aFhSS/QCYSo9niE1liFeG8N/HTnaF5iOQDBUGOZbfd9he+VdLA8vQ71KMdIFfvrJWGkOp/YgSwpb49vf7encEgghmDCz/Pq+v6U7NwJwRRepdLbI8VODRMI+lrbPzF52q3LLKBiOa5C3B/BrdShXSJNatMcR2HiU+BX95wHSZie7hn6XJbFPUx9831W3/1lCiCLCOgLWYUoWFhVJW11Kb/seKSozFwUjZQ6ya/zL5O0kd1Z8Do8SRELGowTR5FJyASEcHGHTmXmT3eNfY3P847SF7kCWNGQURo3OWSsYeTvJoeTT9OcPsS72Ico8jciSgunksYVBUKskqF5fDu0FFvhpY7R3nNe/s5OhrhHu/shtrLzz/Orb8NlRBrtGaF7ZQLQifIVeFpgtaSvNmVw3J9In0WSduyu2EffMdGta4GePolOgv3AWCYnWywRqLzAdV7icTPfz+T1/NRXrdLUYjJ9GbgmJupQ1aoTO9DdYEv0lfOqlC6kI4TBa2I0tCtQHH0SWgpfc7hy6HKYh9BBBrQnpEma3n2UkyYukbwR94xW3c9w8ht2H6QxiOxO4Io8QDkgKsuRBkUNocjm6Wo2uVCG9y8qJTwlT71/D0eRz7Bn/Oj41QkSroSW4laheR8FO0Z8/xITZy5jRScFJ05ndQcoawiMHWBS+++qDXIBXCdMe3EbenuBo6jn8agwZGUeY+JQo7aFtP5UKhhACR2Qx7QEsZwzbTU5eGxYCB1CQJA1F8qLIIVQ5gqZUoCmVSGg3xDXDFQamPYTh9GM7CRw3V6prI0mTcwmiKeV41Dp0pfamWzSFcLHdCYr2WSxnFMdN4wqDUlIAHVn2ocpRdKUCTalGlefX8nUjGRtI0PlON5IkYRYtatuqaF3dRCFbpOPAGZKjabwBDw1LaqlurqSiIc7a7Ss54B6e1s9o3zg9x/tQNBVFPX/s3Ud7GewaxrYcKhvitK9vncris8DVMV2TMWMcv+pnbXQNUf3mud8s8N7Gq/imFZxb4OrYwuVQsntGIoWfNW4NBQObtHmascJeFkU+cdntTDfNePEgkqRMFUm7El61gqWxX5rPqc4a0xlmPPfDkjA+iSqHKPM/gqpE59Rn3jxOxjiA454PiFXkEOWBJ1Hk2QUbusKiYJ0kVXhrqs2rNRPybEZTzhf2cdwCefMoGWM3OfMIResMpjOC6+ZwsZBQkGU/mhxDV2rwaE34taVEfffg1a6vhP31oCt+WgJbUfAwYfbi4uBVQqiTVjEXG9PNYbg5Qlo1yyMlc6Xp5nGFhSsc/GqUldHHCKhxJKDOv5qIXnLd0SQfyyMPEddLwX6yJFPmaWRD/KP05w+RNgcnKxyHiHuaCeuzN4eaziiJ3I9xRWGqTZY8xANPTvturoWC2UHG2IftJqfaFDlImf+ROfUphIPpjJAz3iFnHqNgd2Da/VjOGI6bwRUGAgcJFUnSUeQAqhxDU8rwKHV4tCY8agN+bTFerXVelA3HzZG3TpA1DpA3j1GwurCcEWw3hSuKk5l9PKhyBF2twae1E9BXEtTX4deXXZdS7Lh5koWXMOyBqbaI9w58+hLkybgdIQS2myBd3EHW2E/eOolhl5QgV5SqScuSPqWse9RavFoLQc8mQp6Nc/7ubyYDHUN878+f5b6PbyM5nOLoWyf42L9/PwOdQ+x4eg81rVXk0wWGu0fY/tE7CEYv/byyihadB8+SHElRUV9GKBYkOZLi9W/tJBD1o3k0jrxxjEhFmKqmipseQ3CrUu4p576qe66rD9t1SFo5hotJEkaWtJ2n6JhYroMEqLKCR9YIa37K9CA1vjKieuCyaTuvB1cIsnaBocIEo0aalJWj4JiYbkkuUCQZXVYJKF6Cmpe4HqLcGyGqBeYtGYIrXJJmjqFikjEjTdqaPB+T73xVUtBllaDqJaT5iOthKrxhwpr/Kj3fOliuTX9+nIFCgoSZJe8Y2K6LJit4FY2IFqDaG6XGV0ZIm7+V/axVYKiYZNzIMGFlKdgmprBxhYsmKWiT5z2mB6n0Rqj0Rqdqp10vQggMx2L/RNe89Hc9WK7NSDFFf2GccSNDzjawhY0iyXgVnaDqo9Iboc5XRkjzz/u9OK8KhissslYvE8UjFJ1xXHE+y4Ei6VQF7iSil4L6hHBJmadJGscxnASypBHSmin3bUCRfKU0mcJmtLCbtNnBaGE3RTtBZ+pf0CYrXIf0FuoC91N0RhkvHiRpnGCsuA9V8nE6+U8oUumCrQ3cS1hvm3rZjBX2kzAO47ilwOZq/x1EPcumrQbaboGRwi6EcIh4FjFW2IfhJFFlPxF9EVHPMlT5/A3huEVSZgcp8ySmk5xK1wagyl4ago/ivWCl2rAH6J34EwTmVJtHqSfk3TJnBSNrHGQg9VeYTv9Um67WE/PdO2sFQwiLjLGP3uQfTbVFfNvxqPVTgozpjJDMv8R47odkzYO4Ij+zH1wct1R9u2h3g7ETTakioK94VxUMkPCpUZZELv0yDarlrIg+fNVeNpf//NTvLcHzmUZ0xc/6+IenbStLChGtmkjk+nwrTWeI/tT/wXYTU22KHCHivWPOQmbOOspg+osU7fPBaLpSS8iz6Zr7dNwcWeMAifxzpIs7MeweBJdW9AUmQpi4ThbLGaYw9ahQ0NUa/Noywt4tVIc+w1wj4AWCotVNsvASycLLZI3DuCJ7ie1AiDymk8d0Bska+0nIPybk2UzM9yAx//1oytzcRRyRZTjzNTLGrvPjRX8br9YCklayzlqnGc1+g4nCi5ctGumKAq5TwHJGyFvHoCBTHhjHry29JRQMAFVTuf/jdzExnOTvfver9Bzvo79jiFhVhMe/8CCn93Wx84d7Ge4eJbj20s+r2vZqVt6xhEOvH59q6zneRy6d59HPP0BZdZS//rdfomP/GSobypGUa792+nrGObi/m4lE7uob32AURebeB1dSVRPlSPIsh5Ld04rBLg83sCV+fWmubddh59gJOrJDF6QChXur1lDvj19R6DgnRJ/K9HMmO0JPfpSByfpUyUmh3poU6jVZxStrRHQ/5XqYhkA5i0K1rI+1UesrQ5Wv37ptuw5DxSRHkt2cygzQmx9juJhkYlK4Nd1SwUlFVvDIKgHVS1jzU+EJU+mN0uCP0xqsZmNZ+4wCdbPFcm1682McSfbQkS3NYaSYImmWUuqbFyhcuqwRUn1EdB+VnijVviiN/goWhWpZeUEWzivRlx9jf6KLMTM9q+0rPGHeV7P+ugXqruwQBya6SFml939LoIr1ZW1END+ucDmdGWRvooPjqV5682OMGWlyTnFSwVDxKRqxSUWzPVjNurI2VkWa8Kuzq211MQXbpCs3RFd2iO7cCH35ccaKKcbNkmBdKsRcGluXVYKal3I9TLUvRnuwhlXRJpaE6/Aq11b4Nm8bJMwMCSPLuJlh3EgzXExxJHl22najRpqvdb+GNsvzflt8CYvDdXMS+i3Xpis7zIGJTk6m++nJjzFWTJGxi1jCRpUUvIpOWPNT443RHKhkVbSJNbEWyvTQvCnZ86ZgCCFIm510pb6F6SbxKhUUnTESxcOoso8q/+3nq3ggGC3soTvzA2w3iyJ5cYTBQO4VMlY3rZGPIKMDLkV7jJw1RMEeRWBTsEex5NIF7VGigMARRYr2KHl7EMvJIBRBwR6ZKsLmXLDiWxrdwXKzZMwzDOXfRFciRDxLprlJ2W6e/uzzZKxuyrxrMOwxAAw3xVD+TVrCH6TGfzeSJCOEy2hxP72ZZwDQ5BA5u59E8TABta507DcpB/2NwHGzU1YR0x5kNPddRrPfxLB7uZbjUiR/SbBa4KcO282QKrzKUObL5IyDCGaXQnEmDqbdh2n3IUky1aFPz6kXIRxy5pGS4J5/EcsdvbZZuBmShZfJm8cxnF4qgz+HR52fbDaWMzLpJgZ56zj9qb8gmX/hssrYpZBQ0JTKOSs+7wbigloiolQEAkmWpl4LYqruybUhyfK0miHiOtNl9fWM88x399F5evjqG99gNF1h+ap6qmqipO0C3+h5kzHjvCC5IdbOpvgilDkq4QCDhQme7t/NjrETU23lnjAbYu3U+y/tvimEIO8YvDp8hCOps5xM99OXHyN3hZScjmNSdEySVo6zuVH2TXQS10McKOvi4ZoNrIm14LtG4e5CUmaOvYlO3hw9xuFUN8OFJO5lribXtbFcm6xdZLiY5HSmZGH0Kx7uqVzJ+lgblynmfUVGiyl2jZ9ix9gJjqZ6SBiZS85BAKZrY7o2WbvAYBFOUFoYjOshHq/bNGsFozc/zvf73uZkpv/qG1OKBbi3avV1Kxid2SG+3bODnnzp2bqhrJ1Gfzk+Reet0eM8N7if/YnOS6ZpNV0L07VIWXm6cyPsS3Swf6KL+6vWcF/1auKe2cdWOcJlf6KT/YlOjqd76coOkzCzl627YbgWhmuRsQsMFiY4nDrLDuU4S8L13Fe9mjsrlpcKEV6FtJXnpaGDnM2PkjAyJMwsCSNLwsyQsQszth8z0nz5zCuzPq6I5qc9VHNNCoYQgpxd5JWRI7w2fJgjqZ5LzsUUpWsvbeXpy4+xb6KT3YlTbCxbxPtq1rM4VDNrRehKzJuC4YgC48WDpMyTtEY+QoVvC5aboSP5NXJWHzX+7YT1UsqrvDXImfR3ELg0hZ4kqDViuzm6M9+nK/UN4t41xDwrkVCp8t9BzLsCgY1TKNIe/Tl8SmklWJG9SJKET6mkLvgAAa2BojNKQK2jPfLzU5YOXYlwoUIW964j4llKonCQscK+yx6TK2zy1iBRfSmtkY+gyWFS5knOpL/HYO414t61eJQYlpthOP8mppuiNfxRop6lFO0xjiT+DE0O0Rh6DM8tJAhcjONmsN00ljPBWO4HjGT+GdMZmLaNLPlRpACy7EUIe9L95LxlQ0LFr6+4pQSiBWaHK0xyxkEG0n9L3jwy43NZCqArlahKFFnyghC4mNhuasp1Ci72VZUo9z/JXKwXAkHOPMJg+u9JFV7FuchqIaGiK1WoSjmy7Adh47g5DLsPR6Sn9WQ6A4xkvoYQJjXhz8/L9WvaIwhhU7R66E/+OROFF5h+/DKKFEKRfUiSiuMWcNz0NKVNUyrwaa0o8q3jTpFN5fnJP71KajRFrCpC0/J6dI/Ga9/eydN/9RNy6TxlNTEqG+KcPdbL2z/aR/eRHjITWXSfh6bl9XQe7GbPT96h53g/iqZw2+NQ115NKBbkla+/iaarCAHt61qQ5iIhvodZFWmi3h8nYWam6nKcSPdxNjdCa3Du1tGj6R568mPT2tbFWqnyRa8o3BQdi2cG9nA42T3n5bNxM8PLQ4cYLib5JekB1sRarlnwFUIwYqR4bmA/Lw6/Q3duZFZ1Sy5F3jGo85dfs0VICMHZ3AjPDu7j1eEjDBQS11RY7kIM16LWd+u9J/vyY6StAq8NH+HrZ1+nIzs46xgE07U5luph3EhjCZv3128loF69evc53h47yTMDe8jaxatvfAlyjsGBiU6GixMUHYtHajdc1VUtZeb5ft8uOrKDcxpzvhFCkLELfLtnBz8e3MdAIXH1nSZxhcvZ3ChDhSSDhQQfabyT1dFmPMr11eeaRwWjSMEeQZODRPVl+NUqoJKQ1kTGOoOLPeWCNF48SNrsYEnsl6j234kymbtY4DKQe4WR/NtEPSuQJQWvGkdxdDQ5gISKVynHr01/mCqyF5/speiMokgeVNmPV62ctHDMRJZUdCk0qXhcWTvU5BANoUeo8JWCnT1KlIniMbJWD0V7DI8Sw3QzFO1xfGo1EX0RPrUSn1qBT62maI8C4pYJxrwUjpvFdsZJFV5hNPvtKeVCk8sJeNbi15fjUWqQZT+y5EEIB1dksZwxCtZpcuZxTLufiPcO5rXgwwLvCSxnlNHct8mbR6e1a0oVEe+dBD1r0ZVqFDmINBnrIoSJ4+ax3SSWM0LR6iRvnaZgncIVBbxqKyHvJuZyvRhWD6PZb89QLmQpQMizgbB3K161GUWJTCo8Dq4oYjqj5MwjTOR/Mk2Btt0JxnLfR1eqqAx9cip2Yq5YzgiOm2Eo83ckCy9TUi5kvGorYe8mvGorqlKGLHkm48kMHCeF4fSTt06RN0/g1Zrxaq1zOj/vBhISZdVR4jVRQrEAmx5aRzgeQvNo3PHkZiZGUtS2V9OwuJZgLEA+U6B1dRO1bdV4fDr+kBdZlvCHfCze2E7T8gb8YR9ev4dIRZi7Pnwbg53D2JbNks2LqGi8diHxvU5I87GpbNG04l1F1+S1kSNzVjDytsHxVC8jxeRUmyopbI4vJnIFAatUuVhjUaiWQ8nuqXYZiZgepMFfTqU3QlQP4lV0JCBnFxksTHAq08+YkZ4Sv10ER5Jn+W7fTur95VT7otdUZXrczPB0326eGdgzzbpzDr/iodZXRrknTED1osoylmuTMvOMGWmGihMYk25cIdXHXZXLka/xvurNj/Gdvp28NHSIlDXTtS6k+qjzxynTQwTUUtFL07FJmllGjDRDhQkcXCSg3BNhS/nsszVVeMJsKV9MhTdCwTEoOCYF26TgmOScIjmreFlLznwybmR4ZeQwx1O9dF6gXDT5K2gL1VDuCRFQvFjCIWXm6MwOcTLTP7WdAIaLSZ4b2E+tL849VatmNa4iybQEq/Aq+jQFw6foNPorqPbFqPCE8So6mqxSdEzGjDSd2SG6s8NT50YA/YUEzw3uo85Xxp2Vy69yHQpUScZ/CaubAIqOOe2sy5TumdmiSsqs7wOBwHAtvtO7k+/07iB5wTWoSUrJDS1UQ4U3glcuFYCdmLQknskOk520chiuxa7xU5iuzefb38eScP11xWXMm4KhSF58agXD+SQJ4xC6EsZwJkiZp/HIZXgvWPnLWmcx3RS92WcZLeyZarfdHI4okrWuzfXmRlKKuThf8VOWPGhKGNc0cUTpYtblEB6ljIzVQdI8gSSp5Kx+clYfYb0N9RZaZbwUjsiQKr6B7aYp2t1IaES8dxALPExQX4Wu1qFIwRlKlOMWsJwhDLsPw+4l7LvjXTqCBW4UpZX4bpKF17jwnvWojVQGP0aZ/xF0tfaKQnnpOhnFdAYxrLNkzUP4tDYUOXLNQqLjZkkWXmai8Pw05UJTqqgIfIiY/0F82iLkyTivi4nYdxLyrGcw/UVyF1hjLGeMsdz38GmLifjunLHftWA6g4xmv8V47lkEFooUpDL0McLebfi0NjSlAvmiVNznrIKmM0jR6kGWvXjVmUWW3rNIEIz62fTQumnNvqCXFXfMFKaqmyupbp5Z0LN5RQPNKxpmtDctq6dp2dWL4d3q3FW5gqf7d08pGI5weX3kKD/XdNc1+44DnM2N0JUdngp+BmgJVtEWrMYjX1kY8io691at5sWhg0jAqmgTy8INNAUqKPeUgpUDqhdNVpEoWTySVpYz2WFeGHqH/RNdFJ1SDKIA9oyf5mjqLGV6cNYrpzm7yFujxy+pXFR6ImyOL2ZVtIlqb4yQ5sOraMiSjOM65B2DtFVgzEjTnRvhaKqHOl+cal/ZNentCSPLy8OHePkSykW9L87W8qUsi9RT5YkS1Lx45FLiCtt1yNlF0naB0WKKjuwgp9L9rI62EPeEZj1+vT/OE3Wbp+IMSu5HDqZrMViY4F/Ovs7QBQrkjcIWDi8NHSTnGNjCJa6HeKBmLRsmY2xCmg+PrOHgkrcNBgsT7J/o4of9u6e+O0FJWXtz9NhkPMCVM4Ge47bypTw3uJ+sXaQ9WM3KaBPtwRqqvFGieoCQ6kOXNRRJxhI2GatAfyHBrvGTvDD4zjSBvDs3wu7EaZZHGq/4PZR5QvxS2wPk7JkuYEXX5C9O/WiawlPti/ELLfde9b46x9Jw3axjIVwh2DN+mu/17px2LOWeMA9Wr2V9WTs1vhhh1Ycmq7hCkHeKjBppjqf6eH7oAKfS/bgIHOHyzkQX3+t9m19qe4Cqa1T4L2ReFYwK3yZSxim6Ut9iKPcGSDKq5KUh9DBB7fxLwRZFJGRUKYAqnQ/mU5UALaGniHqXzvmA5htZUtEuCJCWJv9NhoYCJStHXfB+OpJDnJr4Eh4lDggCWgMNwYfQb5EgzMvhuDlSxbcQwkaSNOL+h6kMfpyAvgJZvrwZU5F9KHILHrUZMZlZaoGfLlxRpGB14FyQhUpCI+jZQHnwKXTl0imlL6R0nTTi1RoRng2EnTtKq/dzeDxljcOM557BckbO9y+FqQx+lMrgz5XS4F5hRUZTKoj534cs+TmT+I9Yzjk/fJeC1cl4/ocEPRtQ5LlnPLGcMUaz38B2UyhSmProb1IWeARdmSlQn0OSVDQljqbE8WvLELhzvp9Odw4zPpFl6yyqtKbSBd453ENX9xitzeWsWdlANDKHBZOgl0c+e/8cZrvAhTT4K1garmfcyGBPJhLpz49zOHmWTfFFV9l7OgLB8XTvlA/9OTaVtVPhuXoVbxmJtmA1n29/H2HNT6O/nCpvlIDqveS+Ic1HhTdMc6CSWl8ZjnDZm+iYWsEuOCb7E11sKGuflYJhuw6nMwN8t3fnNOVCRmJ5pIHH6zazPtZKhTeKdoUAcmcq29MEfsWDR1ZnLX+Yrs2BiU6eG9w/TbCTJZnNZYt4pHYDq6LNxD2hK64E267DuJlhpJgipgeuSf7xKjo1l3Gp6smN8kz/HiA56/6uh3PnoMIT5pPN93BX5QrintCMgPlS9qgYLcEqAqqHf+h8gcKksmkJh87sECfSfdxePrv0uGV6kKcabqfgmNT749T6yojpwckMgTPPZUwPUueP0xyowCtrfLPnLYzJ5AmW69CZGaI3P3pFBSOgerm9YmZ1bChlsfrbjueB8wpGRPOzvWrlvNfBEEIwZqT5pzMvM26ezyBa4Ynwyebt3F21krgemnEeIvip8ZXRGqymxhfjK92vcCzVC5TS7L4xepT1ZW1s11fNOTZq3hQMSZKRJRVJUglpTdQG70WVAnjVCgJaHeoFQromh5AkhdrAvZR718FFB65IHi5VDv7d4mppKkvHriFJCjHvCsq961DlAD61moB65cKAtwYOjlt6gEd991EV+iQBfSXSLF1FJElC4t05B7Zl03Woh/0vHS6lAzVs2tY0cdsTG5kYSrL/5SP0nx4kVBZk7T0r8fh1uo/00ry8nrpFNRx56wS5VJ6lWxYx3D3KwdeOkksVqG2r4q4PbcEb8PLt//0MNa1V9J0aQLiCD/6bR9C9t/p3PjtcYc6Ix1HkID6tFU0pv+b+JEnFo9bNaS62myqlTbamu2pF/fcQDzyBplRdVWiSJAmESti7lcrgR+lP/fnUZ64okDMOkzMOEPbdPqc5AggsLHcMkKgO/xLlwQ+iSLNfsZQk5bqU9bJYAJ9vdtfnwFCSM2fHaG6M09QQx+uZm3vYq3u7+LXP3junfRc4jyYrbK9cyd5EB7ZdUjAM1+bl4cPXrGBMGFlOZQaYMM9b+kKaj9WxllmlSpUkiYDq4cHqteiKNmtXCk1WWRqu556qVfTmx6b5ih9L91KwDWKzWLlOW3neGD1GV3ZoWvuySD2faL6HDWVts8pIpEgycU/omqwG5xgqTLBj7AR9+fFp7Vvii/n5prtYEWmclbKkygpV3ihV3ug1z+G9hiLJfKB+K/dVryGi+S/7zJUkiagWYFvFCg5OnOGN0WNTn40WU3Rlh2atYEiSxJbyJWiSgiLJs7J8K5JMlTfK3ZUrOZbuZV+ic+qzwUKCgcIEa2+RteGXhg5yMn0+yD+genmwZi0P1qy7avrfoOplc3wRg4UEY8U0I0YKgIxd5KXhg6yNteCbY0zQvKapLdij5KweKn1bqPFvn4qtuJiovgRNDpKxuqn0b71ErMRF7lGSjCr7J7M/XT51oCxpyJKOI4zJAlU3j4zZheWmqfc+SE1g+3X7ab8X8ajNxP2P4teXT1MuRofTDA8laWmvwuvVcBwXTVPeEz7QriMY6R3jyJvH+fh/+hCDXcMcfvME7etb6Tp0lpGzY2x+eB0n93Zy5M3jrL9/NT3H+wCoaa3iwMtHaFxah1kw2fH0Xhatb6GsOspPvvQKjcvqWLSuhRO7O9A8GuvvW4UQoKg/S5Ya9zL3mnzTrZBF6wwZYw/igvnoSg1R33Y8auOsr0dJkpDxUuZ/mOHMV6elBTacAVLGzutSMM4R8mymIvgUijRzdelGsWf/GXbvP0N7axX1tTFs26Gja4S395ZytpumzaK2Km7f3E5H1zA/euEw/QNJMtkifp9OXW2Mw8f6OXDoLNmsQWVFiG23LUKWZXbs7iSVylMomgQCXp58ZC2FosVrb53kjbdOE/B58Pt0PvLBTfOWBvFnkc3xxZTrIXKT7he2cNif6GDcyFyTkNyZHaIrOzwtEHdlpJF6X3zWKWNlScY3h7SiqqywPtbGi0MHpykYQ4UJzAtSvF8OVwiGi0leGzkyLb6gyhvlgeq1bIq3z8ll7FpwhEtXdoi9iY5pAd3NgUoeqlnHykgj+nUGyd6KrI40cWfFcsJXUC7OIUkS5Z4Qd1Qsn6ZgZCZrmNiuM+trcS6r7LIkU+ePsz7WNk3BSFv5S8bSvBcpOCbP9O+Zug8koNob5Ym6LbOuLeJVdG4rX8qu8VNTCgbAwYluzuZGqfBE5pRGel4VDF2OoskRzmS+x1D+LSRJQZG8RPR26oPvI6y3I0kyce8aKn1b6c++iO3miHvXokg6RWec8eIhlsU+h0+tnjJsyJJGWG/HdFKcSX+LmsA9SEhocpgy78qp8b1KOX61mtHCHnqyzxLVl+IKi6hnCT61CgBXlFLUlopvDSCEg2GPkbP60OQgmhKek8XBr9aAgBMTf0dX6ltIkowmB4h5VtAYegyvUvmeELivh5BnPUHPxqn0vwAnjvbzkx++Q1/vOL/+7x7G69V57ocH+ODHthAMza8pcK4oqkxFfTlLN7Xj8emc3n+Gsb5xzhzp4Z3XjpJNZkmOpKlpq0LTVMrr40wMJTm68xTCFVQ1VZAey9Bx4AzjAwlCsQBj/QkmhlK4rkCSoHVVI4vW30I+8fOGMmP13XEzFK0z2E5yzjVdrhUhbPLWKXLmoWntAX0FPm3JNSv8kiSjKRUE9JWkiq9PtTtuZtIlLH/dGZwqgx9Fv8nPhZbmCjrOjNA/MAFMmtfHsxw9McDnPnUXA0NJDh3tY9XyeupqY6xYWoumKmzd2EpLUzmKLFNXE8Xn1bAdlx+/cJi+gSQV8SD73ulm+51LqK+N8c3v7aWvf4LGhjI2rm3m+88c4K7bF6Oq1xo+u8DFRDQ/W+KLGSgkpoq2TZhZdo2f4pHaDbPqwxEupzMDnM2NTGvfWLaISu/NqeJd5Y0S10uuQ+eUnJxdxHYdhBBXvC8KjsGhyVS055CQWBKqY1vFyhuuXAAkzSxHUz2MG+fdUiQkNpa1sz7W9jOpXADcXrGMKm901osIHlmj0V9OQPGSc0pKsyNcsnaRomMSvA531NkQVL3U+eLosjoVi2S4FkXHwhXiPb8Ysj/ROU1J9yj6ZG2ZazO/1PrKaA5UcijZPeWulncMTmX6WRlpnNP3MG8KRtEeYzD3KqYzQbX/TjxyDIHAcjOMFQ9guEkWRT5JSG9GU4K0Rz+BV61gJP82I/m3QQJVDhJU65Hl6Q8HGY0yzypaw08xmH+d8eI7KJKPmsD2aQqGJoepDzyI5aTpzTxLL8+iy1GWl31hSsHIWj0cS/wlOasP281huVm6Mz9gIP8aiuRlcfST1AUfuKZjz5jdDOReQZE9VHluR5ODCFwMN0lf9nkcYdIW+RieWzgWQ5FCBPQVeNTp2Up2vnGSxctr6e9LYJoOVTV+Dr/Tw6Mf2EDw2i3ONwRZlvEFvUhyyR9TVmQUTSFcFqR1ZSMPfOpuAHxBH7HqCMu2LOKt7+/hxa++zvKti6luqaSYMwhGA2x9bAN17dW4jku8tmzKWhG4TOXhn3YU2YdvsnjmOQQ26eJOxnLfpSL4YRT5xl8ItpvGsM5Mq2IP4NOWzNnlSpJ0/NqyaQoGuFjOKIbdg1+fnfn+UuhKFSHvZrjJcUnlZUEqykP09F5QrFGRqKoIs6itEk2TOXKsj2LRpL6ujOrKCGNjWZoa4pTHQziOS1f3KEdPDIAEp7tG2LC2ifJ4kEjYR3NjOS1N5QSDHrK5Irqu0lhfhq4rtLXcGpW1VVVB01UkSZpWX+O9giRJPFCzjmcG9mI5JQWj6Fq8OnyYh2vXz8pyOFSY4FRmYMoKAtDgL2dRqAafMrdCZ9eKKisENR+apEwpGO5kNhzBleOsz2W/utB6EdODrIo2UemdfQ2F6yFhZum6oDghQI0vxopII1H9Z/N9EFZ9LAnXXVOxvFJGMp2w7iNXOH89Wq5N0bUIcmMVjJIVTseveKYUDDE5viMcZGle1+Hnnb2JDuwLrJA+RWddWes1F4pUZYU6f5yg6ptSMABOpvspOCbBOVRan5czJ4QgaZxiKP8mDaGHqA8+OBWgKbDpTH2TscI+8vYgIb2ZUjXlKppDH6Q2cA+OW6SUylVDlQPocnRa/5Ik4VHKaIt+nPrQw7jCQkJGV6avtMiSQtS7nBXar2M6GQQOsqRNKRcAfrWa5WW/gitMZiLhU0uBlroSYWX830yrRg4lJagl/BSNwUfwqpUI4TKc30HWOktL+CnKfeun/KNdYXHY+TMSxcM0hh69pRUMXa1GV+tnxF2kknnWb24lECw9UDweDccV75UkYFNcLNf4gl6WbV3EWN84P/jL5wCJDfev5vYnNlLdXIHmURnpGWPbh7YQLgsSjPrZ+uh63nnlCHt/8g6uK/jU7z811e97X2y6MUh48KlteNU2ivZ5E7PpDDKQ/iI58zgVwY8Q9KyZkRlpPrGccYoXVcGWJS+6Wo0izS4TycVIqOgXPDvO4bo5TGcEP3NXMPz6ChT55rlGXQlJkvB5S5ltJElCliUuV6tudCzDqY5h6mqiLGqroqNzZKqwncejoSgl/2dVkUvtApDBshxcIVDeA8d7NZavqud3fv9JMukCuZxBNl0kkymQzRSn/WQyBXKZIpnJv/M5A/c6i/zNlvZQDe2hmqkaFI5wSy5PmWHaQldPWduZHaIjMzjtMb0m2kKtr+ymrtjqsjpDEHKFC1dRMQqOyanM9PoDld4wi8N1ZO0cR1InCKp+VkdXzNi3Lz9AT6GfZaHFxPSSDLF/4hC7EwdoDTRyT+U2NFnFdm3eGHubk5kO1kVXsSU+3TqUMvOczU2vH9LgL6cxUDHnKuC3OjW+MiJa4JqPX5FkvBctLNvCnZbd7EaiSPKMRABi8t97naOpnmnz1GWV9lDNnPqKacEZaXf78+Nz/h7mR8HAxXLT2CKPT62eVlTOESZC2FNKwTkkJHQlhK7MbnVTkmQ8SvSytS3OoUg6PrVqmlJxIarsI6xf3ZVFllQC2syVT1lS8KnnM+O4wsJwSquBPrVymhLhuEUcN8/VHpa3AqWqwTMzAkViAdLJPEbRQgjBG68cJxr1o6jvjQespqusvmsZizeUMubULarhqd98jGDUD5LEk7/6EEahpGz6wz5ktSQgPfCJu7jj/ZuIxEPIioysyGx5dD0r7liC65RWCyLlpZWyz//JJwnHb86q2XsNSZLwqA1UBD9Ib/JPOa9ZuljOCIn8j8gUdxH0biAeeIKQZyPqDbBo2O5MBUOVo6jy1WvdXA4J6ZLWF1eYOG72EnvMHp+2eE5Zsq4Hx3H56jfe5sjxftLZAkII3nffpAV4lo+nUNCLJMGbb5/mZMcQpmVPBYxLl+lGliRWr2zgv/6PH9JQX8YvfXLbvBzPjcIf8OAPeBCuwHFdXOfc/y6OK3Cd6b87jsB1XRzbIZs1yKQLZNJFspnS/5lMgcH+CQ7sPYNlXj2+YDbossp9Vas5muqZWv3PWHneGjt+VQXDcCxOZwbpu6C4nkfWWBNtnlUF4/nkctfMlXCFIGsX6L8osDqiBaj3xXGES8bOXLbfSm85UT2C94IY0aWhdkaNMXJOfkpYUySF1ZHlpKw0GXv6/e4Kl6SVZcRIXtR3hIqbfA7fS9T4yuaccehixVYgbpoF8XLZpt7rZKzCtPsYSvdypSc6p/68qj4j1iJl5WddMPFi5uUNJyHjUyuQJZXu9HdxhYlHjmG6KcYK+xjKv0F14O5J68VPFxIqAa2ewfyrdKe/S9EZR5X8GM44Q/k3SRgHWRz9DB751rVeACiSH0WaaSJ74OHVfPdfdnHq5BD/5Xe/RTQa4JOfvYtAcPZVOG8kkizhC/rwBUtz170a+gU+xtHKS/sbh8qChMqmr3z7gl58lziu8rr4PM741kORQ8T8D5G3TjKee3raZ64oYDi9mLlhUoXX8WltRH33EvM/hFdtuGqGttniuKXCjhdiOqN0J/4LvRN/PKc+BQJXFGa2Cwv3OhUMTSmbtuByM5Blifc/to5H31dKRqBpCoGAh/J4kOVLawGoq43xiY/ehn9SaVi5rI7F7VVTf/v9Oo8/vJYHDQtZlhFCEPDrKIrMJz92fr9Pfex2PB61FHMhSXzh03djWg7qe2ThYTZIslR62c7yLSmEQLgCd+rHnfr95LF+Th7tJ2XOvJ7myr1Vq/m7zuencu0XHJMdo8f5WOOdV/T/78mPcSrTPxW/AbAkXEdToBL1Ou9HV7ikrQLduRHO5kYYLkyQsvKk7QI5uzijTkPCyEzV9LiWMTJ2YSpN7zlCqo9yT5iMncVwTHal93MgeZiQGmRbxW00Bxo4kTnNW6O78as+Hqi6m3JP6dntV/0ElAAF57yLjiRJBNUAfmXme89yHTJ2cYbgFdNDRLW5WUx/Ggip3jkFA98ITNeiJzfGmdwwvbkxUlaOtFUgaxcwXKt0LTo2pmuTtQvTUrzeKiSMzLT7GGCgMM7PvfUnc+rPcC3S1vRnVNY2Jq2K1878KBiSRNSznOVlv8LZ9Pc5lvhLbDePLHkIaLW0RT5GbeBevLPIiX+rIUkStYF7kSSFvsxzHB77UxxhoMp+glojK+O/QZX/jmlpem9FJMmDJM30q6ytj/GZz9/DI0+uxzRtyitCxMoCt5QgscD1IUkyXrWJushvoMpRRrPfxBXFadsITGw3QcZIkTOPMpz5J0KeLVQEPzRZV+L6AqZdYeK6FwtvDrY7znwb2QU2LpdysZw9shya6bd3FY7v6eIbf/ZjWlfW8+Fff98lld0rIUkSkfBMYUlTlan0s5qqoF2QnMHjUfF41Gl9BAMegoGZz4LwBfuFLxrn4r+vxNG3O/jmnz/H4nVNfPBXHsR3ibHeS3R0DmPZMy0Tuq7S1lJyufUHPEjy/K6QxvQgW+KLeWm4lNjApZRZ6WCy+4opa7uyQ5y6IKUllNyj6vzxOa3iCiFIWTleHz3GW6PHOZnux3AtbNfBFS4uAleI8y4ngutyPnERZK3pzxdFkvGq+lSqXNM1aQ00sr3yTl4b3UFHtotKTzltgWYKdpGuXDfOLLJVXQ5bOBQuKrCmycpkIb9bbyV8vvBcQ7riG4EjHPYmOnlj5Ci7E6fJWUVs4WALF1e4CCHOV+4WYrKa2XvfDepyZOzCDCuPLVwGixPzNobpWnOuBD+vhfYqfVsp967HFQ7nXCUkSSmlj0Wds6vCxaSTeQ7u7kL3amy5a2YV2JuNJodoCD5EbeBehHD40v99gdUbW9l4eyl7jYR6S5rfLkRCvmTu/R2vn6KyOkJzSwWqdj7/9K1+vAtcG5Kk4FWbqI/8W0KerQyl/56seYCZwTgOrshjOnkS+R8xUXiBgL6KqtCniPq2z1nREMK8pLXhxnF9LyUZlWt1DrFMi1wqj1m0buFX4tWxjPPHebXzfGTnad5+7iBPfu5eKurnlqv9ennuhSNkskUSE1lS6SJ1NVGGR9MsX1LLr33hvhs2riRJPFSzfkrBgJLA8dbo8csqGGkrT0dmkNELUlHGPSGWhuuIzKL2xcUUbIMXhg7yjbNvMFicwBbOnN0pZosr3BnVk1VJwTtZIRtKFomwFiSkBinTY2TsDAWniF+N4VV05Ou0HtquMy0QFkCTVHTp1n/XXw/aNRQpnG/emejiy2de4Wiql6JjzrBw/TSStYs3/F1wPf3PY6E9qSRIoyBNppiTZQnXLZmNkaUpkzGitHgnTwYEnvN1PXck5/z3hWDK3x0JFKXUHgh62HL3UuTJFSEhSmboCzU5WZaRpFIfwnURYjK/vVLytXMdF1dMn4vjuCiKjOsIkEouBa7jIk+2CXGuXZ48Npdzz1KBjCL7kGQJYfmQ3ZJLkeu4kzUDr5x2773PpeeeTuX5l396k0gswD0PrmDzbYsIBD3I8rurZAgEw+ksRdvGq2lUBQPkTYv+VJqoz4dHVZgoFJEkqI9GSOYLTBQKxP1+ipaF4ThUBoNYjkPaMLBsh5pwCK/2s/0CuRKSJKPIYcr8DxL2biZZeI3h7FfJm0cQwubiR5XARgibjLGbrLGPkGcjddF/S9CzBglt1udZlKLAEJe0Ksz/alpJ0b7ea+Da91952yL++3d/E0mS3jMxTjeC1Xcu4f/dughJvvJxCiE4vOMUXUd6Mc2bEwx6Kb7w2e0IAX/yZz/mD37vA6iqwkQyxze/u+eGj72urI1qb4yhyRXLgmPyTrKLhJGh7KKaGEIIunMjHE/1TLsTV0eaaQpcW7pkIQRJK8/fnH6WHw/un6FUyJM+7bqsUqaHqPCGiWgBgqoPv6LjU3S8qs7O0ZMcT/dekzBYCmqfvn0pluP8/PN2KfbRFjZJK4UqqXgVT8miMmlVcSZ/l5Bwz/0TLq5wEKIkGl24jSMcZCZllsn9p81BujX9+Oebm30GbNfh+31v89Xu1xgz0tMsEhISslRaHg1rfmp8MSJagJDmP38dKjqDxQleGT40Q2l8r3Op+0aiFD80X6iyMmelcd6jDAd6E+x+/SR1TXE23bmY/TtP09Mxwqa7ltB1cpCdr5wgncxTXV/GU5++g5r6Mo4d7OGZb+winzUwDYvf+aOPEI762fXqCZ799h4URSYS8/Or/+kJ8lmDZ7+9h1NH+7j7odXc++gaUhM5XnvuMIf2nimZXwW87wMb2HTnIg7uOcNrPznM+Eiamvoy3v+J26mpj/Hj7+5l/44OTNOmsibK537rIf7wt/+F//jHH+Uf//wFgmEfDzyxjm996Q0+/Jlt/PDrb9N7ZpRILMi2B1ewadsSdr12kv07O/B4Nfp7xtn+0GruuG85UApEG+gZ5/v//Da337uMleua0PQbHdR5LvvGzePhJ9Zx/0OrObi/mxd+fIhvf20n6ze38fHPbJvKLPVuYNoO33znCIvL43SOJ3j/6uXs7ukjb5pkigZNZTEGUhnuXdTKSCbL/t4BHCFQ5NKtNJbLs7iinMFMBsd16Z1I8cCSdpZWVaD+NL1ERMlIPF+UXrAKqlxGeeADlPnfR8bYy2jmG2SMPdhuCsHFyoYopbY13iYz/EnqIr9OVfiTKMw+y9KlttKVKiLeu/CoTfNwZOdR5BBBfc289nk5hCuwTBvrAgFa1ZQZgrcQArNoldxwBNi2gyxJ6JOFLy3TRqIUgyQrpdiJYs7A49OxTBvXcVE1FVVXsAwbx3ZRVBnNoyLLpcUXy7BK9Yc8KrJyfnzHdjANC1mR0XQNWZawLRuzaOH1e3AcF9u0p3LKK6qC5pmuqLuuwL74OPWZx3luPNt0sC2bE3u7SCeyFLJFcunzFix/yDt1Xoo5A1mR8fpnPo8c28EoWiiqjO6ZvVJ7IepkqupkKo/jukiuhGk5JCZufKEuTVJ4uHY9/9j10lRbwsiyc/wkj9ZunLatQHAmO8zJzMD5uUsyq2JN1Plnb/0RQpB3DP769LP8aGDvtM9USabaF2NbxQpuK1/C4lAdQfXyrnzjRobTmf5rUjBkJAIX9WkLF8MtZXyUgIge4XSmk/97+u8IayHurdyGT/Hy6shb7J14h5SVoa8wwP2Vd9McaOBHgy9wMn0awzUZMcb4UN1jeBQP/9zzHQYLQ8iSQtJK8WDVPUT0MIqkzEjna7n2Tct69DPBLF5LrnD5Qf8uvtL9KmNGeqpdQsKnaNxesYy7KlawNtZCmX755CJvjR1nx+jxW07BCCreae8+GYmV0SZ+f+XH5m0MSYK4PrfEBfMu8VbXRglHfXSfHmb1xhZ6ukbxBb3UNpRRXhVhw+2LQIK/+G9PkxjNUFkT5Rv/8Bo/97ntLF5ZjzL58ivkDb7y1y/z/37x00Tj54OmPF6Nhz+0kUjMPykcAQKy6QKLltfy4c/cxfPf289QX4K+s2Ps39nBlruWsHJDM1//21c5fbSfWDzIkf1nue/xtSxf24jP70HVFMJRP8mJPJlUAdctzUHVFI6904PXr/MHf/kpjuzrZu+O0zS0lnxrVVVh+0OraF9+PuOUIsv0dI5waPcZtj+0mqWr6m/KiqMrighurllQkiRUVWbV2kbaFlez4/WTfP9bu/nQx7a8qwoGlPxy1zXUUnQchtNZziaShDw68YCfmM9HfSRMSzyG7TjURkLs7e2naNlsbqqnJhyiYNvkDJPNTfWUBwJIEriuC/JPz+qxK4xJ68L8ck5QU6QAUd/dRHzbKFpnSOSeJZH/CYZ9FkcU4KLrVWDQl/pTHHLUhX8NGd/Vq8FyznqqTiovJRQ5Qsz/EDH/vfN+fDeL1HiGH/7Dq3z/b17Eth3MosVDn9zGF/77R/H4zmdryWeL/PlvfJmqxnJc1+WtZw4QrQjzy//tw5zad4an//5VAD73Bx9m0wMrGe4d49fu+UN+8/98ihf/ZSen3znL7Y+t4+FPbeMHX3yZ/a8eY/Udi/nYbz1K4+Iazhzp5cv//Qd4fDqf/I9P0rj4fBrEE3vP8Ne/+3WWbGjl53/7UeI1UV79zh6++Hvf4D9/9dc4uus0L39rF+ODE0Qrwqy7exlP/dpDVDacF2qTo2me/ruX+eHfv4JtlRSWx35xO5/9g6fweKdnpTm88zTPf/VNju7qYGwgieu6/PYjfzwtxuHLB/+IYNRPYijJr23/bzSvqOe/fevfTCkDUFLe9r54hL/8nX9m68Nr+dx//fB1LQJtWt/Cf/7DH1BVGWZsPMsdWy8fBzFfKJLMvVWr+cqZV6eE9LSVZ9fYSR6qWT/NH36kmOJkum9aUHVbsIbWQA26PPuicC6C3eOnefYi5SKoerm3ajWfab2PSm/0+g7sCsiSPEPBcIQzVRgtqkd4oOpuHqi6e8a+91Zt496qmVnMPtLw5CXH+kLbpy/ZrsnKjGxJlutg3iLF2W4JZnEKO7JDPDuwb4ZysSRUx28vez9LwvU/1d9FSPNPi+UTgOnYVHuj7wlr2rwrGIqqUNMQZ2Isx46XjiEE1DeXY9sur/74EJ0nBtE0ha6TQ9iWQzZdRNM1IrHAlMsTQDpZIBDyEo6W/ELPuT9d7qSFo358fg+KIuPxaViWTWIsy8hgko7jA7z63OGSO5RcKp70mX/9AC8+fYDXnjvM2i1t3P/4WtqW1nBoTxehiA9Vlek8PkhdY5x81qCiOgqAP+jF69NJJkpZZMoqQsSrpmcismyHt148xtLVDQTD3muN5ZwzjjAQN9nvMJsp0t87zr5dXex5u4PKqgi/9K/uIxR596t4m47DCyc7KNo29y1qpWBZnBodx6dpeFQVXSld/hnDJGdagERNJMRoNk9/KsXW5gaqgkE0WcGjqqU82e+Bm3Y+cTFw5z0MeiYSMj6tjbror1MV/gWShdcYzX6bvHkU201ysaIxmPoiQW01Mf+DzOZNI8teFDmE7Z4PbnNFHiGuLUPNe41QLMDDn9rGmjuXcPTt0/zoS69fcfs3frCPpZtaWX3HEnY/f4h/+P3voKgy257cwCvf3s0//JfvsGYybs3IG3z/b16iZWU9kizx6nd2M3x2DN2rsf6e5ex/5RiVDXF+4T+9f87z/+v/+C/kUgW2vG81scowx3d38sLXdzI+mOI//P3nUCcF+nBZkEc/fTfrty/j0Fun+PGX37hsnxW1Mba9fyMb71vJ1//XjzAKFh/4wn3ELsgI550MDA9GA9z+6Dre/slBTu3vZvnmtqltMskcpw+eRfdqLNvUet0W5qc+sJFNG1oYHcuUihRW3fh0pZIkUe2NsT7Wyu7EaQAs4XAmN0x3dpi2yXz4Qgj6CuMcvyC4WwKWRxpoCsw++YoQAmvSJeXCBWaPrHF7+TL+9eLH8amzT1PqCOeaA0gVSSKk+pCRzgfsAlm7wISZIX4T0sSqkkJA9SAhTbnkCErB7hkrT+RntNDezUQIwZsjxxi8oIo1QL0/zn9e9XPUX0PSAlfMdHm7FYjqgWmLCAJB1illa/O8ByrJ3xCfncbWCs52DPP680fYeMciWhZVMTqUYmRggvVb22heVEV/zzhIEsGwF49Xo697DGUypWFZeZBIzI8sS5w5PUw46kdWZKJlAVzHIZnIkssUcV1B+pxZWpJmyH7x8hCNbZU0tlawZGU9riuIlgXweDVymSL3P7GOQs7kf/3+d9n+8Cral9bw7S+9yQNPric9kWf/2x28/+O3kxjLcPxgL6NDKYYHJnBsh4qqMKlE7pLjypLEz/3ydkYGk+x+/SQer0ZlTQT5Bq98u24WgXX1DeeRH3xrN+/s62blmkZ+43cfo66hbNoq4buFJEnE/F5+bsMaZKnk9nR7SyNbWxqRmJ5zO+b3sbW5ga3NDaiyXIrNObdNKXsnLfH3cprhubs4uW4eccmikzcOVQ5THnicMt8DTBReYjjzT+TMwxdlnnIZSP0lUd/dSJdIj3wxshRAlcumKRi2k8Z20wjhzluCiZuNoiqU18Yor43hOC6vfGf3FbfXvRqP/eJ2lqxv4b98/C945/UT/Jd/+XXW3FlSKr73Vy9SzJmTpXkkyuti/Oof/zxdh3v5d4//CblMgd/+q19kfCjJWP8EI30J7Ouo3TB8dpT/9q3fYNHaZmRZIpvM80ef+ztOH+zmzLE+Fq1tBkpuXxX1ZVTUl2EaNq997/LxC3VtVdS1VWFZNj/+8uvks0U2v281da0zax9pHo3tT23hjaf38cbTe1m6sRV5cpFptD/B4Z2nqWurYunGq9dGuhqpdIGhkRSO7RKPBxgaSVNz0eLTjUCTVR6oXsueRMeUsDth5tiTOE1rsBpJkrCFQ29+jO7c8NR+Yc3P0nD9NddtyFp53pk4M62twhPm/fVbrkm5OBesbbvXdn3JkkxY81HuDTNSPB+snrLy9BcSN0fBkBViepCYHiBhnk9ZPWKkGTPSCwrGTcBwLU5m+klb+WntH228k0pvZPYxfEJguhaFa0yX/F4g7glR4QmTs8+/Ow3HpDs3zJJw/bs4sxI35K0bDPmoqo0RKw9RWRslGPZRUR0hXhVhz1uneO57+4hXhonE/CiKzFO/cCf7d3bw9S++ylf+6mUyqQIej8bHv3Av3//qDr721y/z9D/vxDQsxkbSvPD0ATqOD3D8YA87Xz5OMW8SivgJTqZCDIZLlo9IWYAtdy/lzKlh/vmLr/Ivf/caQ30TCFfw7Ld287W/eYXvfPkt7nt8LZqm0tRWhWHYLF/bSOvSalzXpWVJNUtW1hOJ+vnqX73MsQM9rNncSkV1FH/AQ6TMP80fGaCsMkQg7OWRD29CkqD79BBmcfoq8aVy4AtAzFGLFsLFdIZx3fzVN55HbrtrCb/3h0/xqc/dTVNLBaqqYBjWTSuQczlUWeb2lkYU6Xx4kiRJKJJ0SZOpKsuokwqgfJlt3m0uF2glmPs1Yzmj1100bq7Ispd44FHayv8nUd/2GWmQc9YxCtbpWfWlyjE8au20NkekMZ2hm5xd6t2lsiFOIOxD1RRiVRHK60rKiaIqpRV+GXKp0jNCUWQal9SUiiX6PVTUlVFeW0akPITu1QnGAlimPVWIci5semA1TUtqp6zTmq6ycusibNNhtH/+UileDkWRaV5aS8vyet557QSpsZIrhWO7DJ4Zpb9jmNaV9VQ3lV/3WN/4zm5ef/MUP3nxCKlUgS995fJWmPlElWQ2xNuJXxDUnbbyHJg4gzEZEzBmpDmV7p8WI7AkXDelgFwLg8XkjJiJiO5nWaThmvpJWXmydmFOKTB9qof20PT7fcxI05kZvGnvnojup+Ei609/foy+wvi7/v77WSBhZsldlEVJlWTWxFrQ5dmvnRddi4SZxZ5nC8bNkiBWR5unyQaGY3E01XOFPW4eNyzqeP1t7ay/rX3qb49X47GPbL7ktq1LqvnCv390RvuaTS2s2dQyrc3n9/D5f/fIjG3rLnhBbN52PnVtOOqnfenMsum/8OsPzGiLlAX4H3//iwDEK8MsW9MIlNygPvTpO2fOb/OlV70+/OnzPp5PffrSVWtlyVdyt5n2HHJxxdwUBMdNYTljN92C0do+c9Xw0P6zrFrXhNf77pnoZEliccX1Cw1XwnELGM4YPrVu1ivkrrAQwkWRrz0+RZZ8zFwTEDhibsGkjpvBckYvk33p5uFRG6iL/GsKVgcFq+OCTwRZ8yABz+qr9qEp5Xi0ZihOF+qK9hlMZxiffP0r1LcCHp+GMmlB1DSFQMg3lX1P1RUkShW9ZUVBkiT8k7U0JBm8Pn2q5oQ8mcHJMuxS3NEcaVhUPW0BplT40oPrCor5m3PdeQM62z+0ia/+jx+y6yeHeOiT20iNZzi6q4NwPMjK2xbPi79yd/cY/8/vPsEf/c8fTZ7zmyNilArC+bircgXf7d0JlLIfDRYSnM4MsDLSyFAhyYl039Q+qqSwJFRP4zW4R50jbU1/3iiSTFD1XZNQB9CZGWLcmFtxM5+isyxUx47R41NtY0aaw8mz3FO1muhNsCDEtCAtgUoOXmDN6c2PcyLVx4ZYO0HtvVFs9qeVvG1gXRRUH1C9eGX9mu7nCTNLR2Zwvqc3ox6IYDJb6jyzsaydZwf2TSn9ecdkx9hJHq7dOOeq6vPFrek38FOAKoe5+AUksLGc0Tn1lzdPzKhkfKMwTRt7srBUsWiRyxan/fzo+/sp5G89c+O1krXO0JH8S9xr8PMv2oOkzWNzGk+RZmZVEsLFskfm1F/B6sB05v/BOhf8+jK8ajMS05VSy0lcZo/paEo5fm3JpBJ2nqxxkIJ1+qbHJr1bnEvPfY4rFnebTLk9/e85FFq7KEX4hQSj/nkvMHetaB6NtXctwx/ysfv5wxgFk7GBJEff7qCutYrF65rnZZxIxEfXmVHyBZOzPePTCg/eaDyyyraK5dOE/ISZ5WDyDLZw6C+M0507/26p8cVYEq69Yoany3FxpWYhSj7s7jWs2hcdi32JToYKc7NiBVQva2OtRLXzioQjXI6n+9g5fnKG4HkjiHtCrIg0EbrgHNrCYU+ig8Op7mt2/Vrg2lAkecb70J0spDdbC5LtOpzNjcxw+bteJOkSmc5cl7Q9/9b0zfHF1PjOu3DbwuF0ZoDd46fmXIF7vlhQMN4lFDmCfJFLiOsWyVvHL7PH5XGFRcbYh+kMzdf0rkh31whjIyVXgwN7zvDy80d49cVjUz+D/ROlWiI/RRj2KGnjBCnjMBnzJO5k3IIQNhnzFEnjMFmzAxC4wiJndZMyDpM2jmPYY7jCxrDHGCu8xVDuWdLGMYr28DVVEVXl8AwBWmCRMw9f8/G4wiJnHqRo917zvjcKWfJzsdItSbNbFZUlDZ/Wjl9fNq3dsM+SKe6+acr3TyuSLCPJ8vm6RheQyxSmpZedtt8NdDWcLOnJ1WQJSZIIlwXZ/L5VdB/v58S+Lvo6hpgYTbNsUyuh2Pysdt9z1zKef/kIkiTx1s7T3HXnzSsCq8oKrcFqFl3gNpSx8pxM9zNcTHIqM4DpnrduLw7V0h6cadmfDXE9PM0lw8UlZeVIWrNztbRdh0PJM+xJnJqzwKVIMvX+OLeVL53W3psf47mBfRxL9WI6N1bJ0GSVRaEaVkene1mcSPfxk8EDdGWHsRaUjBtGWPPhvSj7Wc4uMmakZuV2505WvH51+Aj9hfF5nZuERPlFsUA5u0hnZv5ltKDq5Ym6zdPcuifMLN84+wad2aE5B69bro0xmRVtrtzowgwLXAZF9uFTWyerHZdwRZ5McS92KIUqzzY4UFCwOkgbb2O7s1vtvV7GRzNTF/MbLx/DMGxi8fMv6XzevCbB+VZgOPc8WesMquxDV+J4lWoATKekNDiigOGMsDz+e5hOgt70N5AlHRD41FqqAg+St3tIGQcpWP2MKq8R9azFo1bOeg6y7MWrNmPY/ZzLuiSERdrYhe0kUZXoLHsSGNZZ0sW352wxm28cN4vpDF2UZllCV2YvBPm0dsKereTMY4ipgHFBIv8TfPpi4v5HUeTgFftY4NJ4/Tq+oIfEUJJs8ryLjGXadB/vJ3MTaj5cjCzLqLqKVbRwbBchLl/M1Bf0sOXB1bz1wwO88q1dKKpCvDrK6jvmTwnYvLGFttZKxhNZqirCRKNzq0o/V/yKh7srV075X9vCZbiY5ODEmWnuUUHVy+JQHTW+uVU+r/JGielBEuZ596aEmWXH6Akeqlk/w8JxIQXb4ESmn2/2vMnp63RLiepBtletZP9EJ8PFJFByQ3ln4gxfPvMy76+/jeWRhhmZdi6F6VikrDyjRvr/Z++/oyTJzute9Bc+vass732192a6x/R4h8EYGMKSAHkJQZT3V4+872rp6i5JV+5KwpMokaIBSRAYYoABMAbjbfdMe2+ry3uX3od7f2R1dVdXdXdldbUBgb1WraqKjIg8kRlxzvnOt7+98cgO6l3hJQXHdc4ydpV3cTYxPPd52Nh8MHkKAXiqZisd3lq8ivO6dX22bZO3dKKFFNFCmqDqXvb388sCv+omrPlRBAl9NkNtYfPexCma3JX4Fdc1v0PDKmb1Xh89zNvjx1a8bZIg0umr5WDkcg1hTE+zd+oM6wKN8+qlVgKPVm3k/clTc8++aVucSwzzPy++wZcb76PFU33dz+MSCpZBQs8wk08ylJmmwuGnw1uDY5lUq1/6ACM6EWfg7AiCKNC4qpZA+a1XoLgEr2PbvADDxiCjnyOaeYsy9zMLMhwLYZM3RphKvUi6cJrbZbJ3zxU1Lu2rqtm4pZnm1ssT5XTqJ3eFktRKwsbEo7bhkutxKQ1IYjGgsm2TRt/XEAWV41P/mLQ+SFYfRBRkOkJ/n3Shj+HkD8kZ4wS0jeSNSRLSWVoDf3NZ7fBqW0jk919B+bHIFi4SybxK2PP5Jd0zBWOc6fSPSOaPwDILxC/BtFKkC2fQ5FpUqQJBKL3uxrILxLLvkzMGuFKuVhBUXGrXtQ+8CopUht95H4n8flL5w3PbC+YIk8m/RBQc+B0PIItLVxiBIg3NtBLkzVEExJLadDOwbRujYJJOZDAMk9hUAkM3yaZzTI9Gcbo1NKc6J8l6K+Er81DVGObcoV4OvXsaWS2a7Y33T3Fq3wUyydyNTwIs1kcVr9Mgnchi6CaxqWTxOlM5pkeiOD1FpUGHW5urLwEQJZGa5nL6Tw9z4uPz6HkDURLQCyat6+rnak+gqMZV21pJ2/p6Dr93hlCln6auGhq7aha0Z7k4dXaEtatqCZd5KBQMLlwcp6OtasXOfyM4JIUtwVYCqofYrLJRpJDik+nz89SjGt0VdPpqrxsIXAuCIKBJCrvCXbwyelnpK1pI8ZORAwRUN53eWgJqUd77Eu88aWSZysU5mxjm52NHOBMfxLRtvLKTnKUvi9KkijJr/Q18tnY7fznwIalZJR3DNtk/081oNsq95atZG2ggrPlwSxqKWDR4tGyLvGmQNfNzbetJTXA6PsDOcCffbHkEaQk1NE5ZY0dZB/2pCV4dPURm1qitYBm8PX6c/vQk95WvocNXQ1j14ZDVORqbaRXNATNmnqSeZTwb4UJqjP7UBI9Xb+KF+l3Xfe/8bFCUNfMYtoVhmRi2Oe/3eC46T2EIIGlk2T99AbfsQBYlZEGc/T37I4o4JJWA4r4rpE6vBVmQWBdo5HDkIpP5y2pib44fpd5VxraydiodQTRRBqFI5cuaeWbySfrTk3w4eYp3J06St3QckoIsSHP30E23TZTYHGzlrwb3zhlAZs0C+2cuUOEIcF/FasKaD6ekFp3kbQvdNinMZg10y6Dc4cen3HiRQhAEyjQv/1vLo/w/537E2CztMG8ZHJi5wEQuxp6Kdazy1xNU3bgkrfjs28VApKigVSBl5JjKx+lPT3I2PkR3cpSvNO2hyV3xyxNgZHIFescj5HUDw7TQFBlBgNbqMjJ5ncHJGHldx+VQaaoMYdk20WSGyqAXr1NjcDKKZdvUlPlRZYn9rx+j98QA4doQZVWB2xpgBJ0PM5H87jx5Tt2cYTz5J4iCG59jG4pUxsJaDRvTSpLTLzKd/imR9GuYVuy2tftK3HNvBz7//Idg5+52tFtQ4G1jY9vG7I+OYUYX5dYbVgLDiiEKCgIKgqDctExptecZorlDJAqnieYO0ej/OgAOuQZRUEAQkEU3lp3HtAtIwuxnIkgIgoJp5yh+jzazLNFrqkJdDwHnHiaSf45uX848mHaKseQfI4pefI57UKUwi90zlpUmq/cSybzGTPonGNbNp4XzxhgD0f8Lj7oRj7YRTa5HlatQxDCi6LzuNdq2QcGcIJU/xljiDzHM+e1xK6txKqWZlbnVtZS5nqFgjMyjDKYLxxmN/zfyxhA+bSea3IgiBREEiSs/KxsbbBvTTmGacQrWFAVjjKx+kXThBA65mcbQ75XUpuXCtmxGeyd5568+pZAtMNY/RWImRc+JQV76zps4PBqNnTVsfnA1Lt+t5ft7/C4271nNwNlRPnn1GGcP9qI5VfKZArVtlYT7llcHBMXrHL44wXs/3E8hpzPaO0liJkX3sQFe+s6bOD0ajatq2fzgasLV8+Wid31mE2P9U7z2Jx9w8O1TKKqEKEn8o+98A8k5f1D0BFzseHwDB946ieZQWH9fJ4q2ckPgj14+zJquWsAmlc7z8s+O8k//wZMrdv4bQRREyh1+toZaeXv8OACRfJJjZh9po1gnJgkibZ5q2rzLo0dBUannqZotfDJ9jpnZVXvTtjifGOY7F15lZ1knje4K3HIx8M2YeSZyxSLzc/FhEkYWgaLJ39pAA4dmLjK8TIqKX3XzaNVGxnNR3ps4OTdBtLEZzEzxvYEPCIy6aXCFKdN8uGQNURDQLZOUkSNSSDKZixHJp+ZoNVuCrcXZ6BK75ypnkCdqtjCdT/LpzPk5N2gLmwvJUbqTo5RpPhpcYQKqB5esIVA0REsaWSKFFOPZKLHZ4nm3pGEugZYymo3w3sQJBtJT5KwCeVMnZ+nkTJ28qZO3CmSMwoIAYzQb4d+f+zEOScUhKmiSgkNS0UQZTVLRRIUaZ5DHqzfT7Fko4nI3YXtZO/umzxKdTs1lMRJ6hv958Q1OxgdZ7StmsERBoGDpRPIpelLjnIz1Mz6b9SpTvWwOtZAycnwyfX5F2iUisMpXy+ZQK59Mn5vbPlNI8uLgx5yI9dPhq8GvFLNrumWQs3TSRo6knkW3DF6o38WWUOt13uWK9xNENoZa+ErjA3yv/wPGcsUgw7AtelLj9KcnCaleGlxhQpoXh6gUTfksg7SZI5pPMZVPEC2kFijE3Qx+4QKMaDrLO8eKXPdYOkfA7UCRJSRRxKkq9E9ESOcKjEYS7FnXQk3Yz7vHL3Lf2ha66sp5+1g3jeVBfIrC2Lkx9r58kDW7OmhaU0dFYxjTMBk8O8r44BSSJFHZGKZxVS3JaJqLx/rJpnKoDpX6jioqG8sZ7Z0kMh5FQCAZS9PQWUNVc/mSPC/c6ga8jp3Es+9fsdUkUzjHcOzfEXQ9jltdiyKVzUp4WlhWDsOKkjN6iWf3kS6cwLKzCMg4lXYK5tiscdntQVXNQn+ILTta0G5i4DatFDm9b1ZiVMe2dWwKWHbxx7ZzWHYO3Zye53twCZHMm+T0PkTRgYgDUXQgoBYDDkFBEFREwYlDbsChNN2wPTY2ab0XAQmXXM945k3MS4XdwtU1AwoetZVE4TST6XcpWDFEwYFLaQABJNGFYSWYyryHW2nBvYT3vxIudQ0+5y5m0q9webXfIqf3MRT9d4TcT+BR16NI4TnZV8vKYlhxckYfidynpPJHsew0IOFUWjDMKLq1vBoFG51soZtM4RTT6ZdxKq241A4ccjOKVIEs+pFENwIqgiDNBol5TCuFbk6SLpwmlvuQgjHKldkUUfBQ5fsNBEpbZZVED0HXIxTMMaZSP5wXRGX1C4zGv0Nc/RC3uh6H0oQk+hCFYjGebRvY6LPqWtPFwMLoJaf3YlgRREFDcd1aZbKroReMOUpSWXWA+5/fOvdaLp0nk8xhGiaKIrHpgdXYgNtXDG7X7uqgfFa2FqChs5rHv3YvnoALSRZ54mv30rS6FgC318muz2ymfPZ5dvkcbLy/C9OwUDQFQRBYvb0Vh0vj5CcXmBmLIckSLWvrWL29lfq2SvxhL5qrOKmva6vk0S/vmidRCyBKEk2ra3nkS/dQ21LMetqAnjdIzcrnhmuDPPDCtrljspeuU1848G28rwtFkTlzoIfIZBxJEglV+hdIhwNoTpXmNXU43RqhqgBr7+lY1ndyNSLRNOcvjDMxmeDt904jCALpdH5ZBfM3C4/sYHd4Fe9PnMKwTfKWTr5wufaiTPXS6au9KZUlURDp8tXxfP1OXhzcO+dDYNoWQ5lphjLTCAizGQwWZCckQaTVU8WvNd7Lal8DY9koI9nIsmi1AgLVziBfarwfVVT4eOrMHF3qEmJ6mlj81lH4BATavTV8qfE+HJLK/pnz87wxbIoKV1e6Ta8EpvJxPp4+y/krzBOXAsu2iesZ4vq1FSsbXOVsCrbc9QFGtTPEUzVbmcoluJgam6s3SJt53h4/xtvjx5AFCUkQKVjGvHtMAMo0H09Wb+aJ6s3smz7HgZnuFTHcEwQBl+zgiw27mchG6b0ig5gx8xyJ9nAk2nPN4z2ygwcrb6yeeCUUQeLJ6i0IwKujh7iQHJ27FtO2mMrHmboi03M78AsXYAC4HQpNlSEmYylcmoIkiUzGknTUlVNT5kMALo5OMxFLsb2rAbdDZTqeZsrrIpnJ01IdQhFEIhMx0sksiUiKqeEIpmGRjKR55/t7Ka8Nkc8WuHCoh9Dfegw9bzA9EiEVyzAzFmViYIqnfutBLh7t49S+CzR01WCZVnGFbYn9pCAoVPv+N3KFHvLmlcW2Jjmjj7HEH6BIZWhSDaLoKlI17OLETDdnuDzBFPBom6jwfIWJ5J+RKhxZ2Q+8RHzy0Xl27+nC5VoedUM3p5hK/5BY9gMsO4dt57Hs3Gxh9Y0f/lj2LWLZt+ZtE5ARBQeCoCEKDhQpTLnnc0sKMAAKZpScUVwRr3E/gyL6i4Vczt2zhcjFvzWpHFX0U+bcRVYfQhIdlLvuR5OKE1OP2k7BjJA1xtCkpddfzF2HIFHl/SaZwtUeERYFc5jxxB8hiyE0uRZJdGHbNpadRjenKJhTXHnPuNW1VHi+TCTzGvHc9R2ilwLLTpEuHCddOA4ISIIbRQrPCho4EAUFGwvTymBYMXRzYlGPClFwU+55gYDzYZYj9anJtZR7voBt68ykX0G3Lq+uW3aeZP4gyfxBBFQk0TObbRKwKBQzUFaCm6WOrQRESaRtQwN/9z9+fUn7P/Hr8yWxH/z8jnn/r7ung3VXTKr/5r/58tzfgXIfv/b3L6+2B8I+Hv/qfGluWZXp2NxEx+amBe/93Lcfmfd/19aWRc3rZEViw31dbLjvMs1MksRrnvdGkGSJ9fd2sn4JBdWmbhKdjKOoCh0bG6moXRmOez6vMzFLXxsajiLMqnHdf+/KBDClQBVl2r01NLjD9KYmFrze5Klktb9+WdnTq9/nhbp7MGyL9yZOMpiemjd5s7HneW5cgk92sjbQyFM1W9lW1o5b0mhwl3MyNkBmmUZnoiDS6Crnq00PUO8K88n0OS4kRokusej8SlRofqqcoQULRzeCJIis8TfgVVw0uMPsn7lAT3KcZIlF7KIgUuUMlmx++MuMXeFV5E2dV0YPcTo+SM6cL39t2OaCVXlFkGj1VvFQ5Xoeq9pEWPMxmJkipHpXbBIuixLrA038evNDvDz8KWcTw3N0qVsBQRBwyipP1Wyl2hni7YnjnIz1M5qJlOQ1IyIQ0rw0uSto81SVLD99JX4hA4xitkLGMftjmBbxTI4jF0cYjySpK/eTzOYxZh2+N7fVcmZggql4is66CoJeF163k/ue387BN0+w8+nNrN1VHAzOHbjImU+6+ey3HyEZTTNwdoTpkQiBcj++Mg/ekIfoRIzh7suGPp6Ai00PrqG2RL6tIIh4te1U+7/FeOKPyBlXS6WZs8HEtekHAjIebQNVvt/Cp91DNPs2QkHG5tYpaGTSefL5az8oH757lq07WpcdYFh2joIxRt4YWG4TF8DGwLRTYBcHnWKgtrRVewGBSvcjC7bLoosazzNz/9d4Pjv3d4Vrz6Lncso11HqfL6HlC+HRNlDj+5uMJv77IkZ0FoY1jVG43rVJuNU1VPm+ScDxAKnCMQSU5XuoLPBzgaI/RwrTKG2QV6QqylxPU+37LUThxkVp14JTaaXS++vIYpCZzCvk9N4F12dTwLAiGCxVHEFcVo3Jr7CyKPa71xowhUXvGdu2ScbS7HvtGO6Aix1PbFgx+dzqqgDPfWYTkijw1OPrEYTiYH8rFbSuBUEQKNd8fK3pQXpSVxdRC3R6a6lfgSycIAj4FBdfabyfZnclhyMX6UmNM5mLkzSyxeDCtlFEGbesEVQ91DrL6PLVsTPcSYunEmV24vJAxVoCinsuwCjX/CUHQIIgUOkI8Nna7awPNHEs2kt3cpSRbITpfJKkniFnFjBsEwEBSRDRJAW37MCvuAhrPqqcQdo81WwLtSMuIwATBIFGdzlfqN/NxkALx2N9XEyNMZaNMpNPkjSy5M0Cpm0hICCLEg5xtg2qm0qHn2pniC5vHWsDjTd8v2pniKeqt7A11HbDfUtFUPHcsMi8yV3BM7Xb56mHbQy0LIuvH1TdPF2zjZnC5SxPk7sSr3Jj6qciSjxctYEKR4D9Mxc4lxhmNDtDtJAmZxawbBtJEHFJKn7FTaUzQKuniq2hNjYFW3DOUvlaPdV8temBuQBjY6D5huIAN4JDUnmgci2VzgD7ps5xITnCeC5GNJ8kZ+kYlokoiLP0NAWv7CSoFj/7K6VnS4EmKWwva6fVW8WRSA9n4kMMpKeYzMWJ62kyZh7dMhEoBkGaqOCZvQfDmo9qR5BGdwVdvjqaPRVo4vLHvF/IAANYsLBpWjbZfIF0vlDUIHaqaErx8lqrw5zoHWNwKsazO9fgdV574mtbNqZhoucNHG6NnU9vQnNqXDjSx8mPztOxtYVsOl/kaM6OcZ6AG7d/eYohAjJh9wtIopvp1MukCkcxraWZDylSBT7HPYTdz+PVtiKJbhxyA6Loml2FvTXYv6+bC2dHr1nIPdQ/fUsMZX6Fywi5P4MgaEynXyKZP7Tk71sRy/A6dhB2P4fPsRNJ9OKQ65FE77JUyBQxRLn7eZL5w+T0vmUHKYoYxq1tIOB8kJDrcWSx7KYnaA6lkUrvV3GqbcQy75HIH6BgDJccfIuCG6fSglvbQND58E216VdYHizbZDw3zFCmh4QRxboGT/j+8qdxSpcEGGwM3eTk3gvY2Fw40s/JvefZ+si6FfO+uBL37e5AFIuyucUf+87QpBQnj1dvAjbd0ve5pPX/UOU6toRa6UmOM56LktAzs3SUYqbDIzsoU73UucJUO4MLCoc3BVvYFFwZI0xNUuj01dLqqSJSSDGSnWEqFye+SIDhkBQ8shO/4qLCEaDaGcQlaTfd7zhljfXBJlb565nKxxnNzDCVT5I0LrXBQkRAFqRiGxQnQcVNlTNIlSOAtsQJer0rTH3D7aVsXol2b808WeSbQZnm49caF5oZLxWSILIx2EyXr5a+1CQj2Wki+RRZqxjQyYKES9IIqG6qnUEaXeV4rgpeal1lfKFh981eygKoosw6fyMd3hoG0lOMZiNE8kmys/fjpQDDIal4FSdlqpew5lsgc1sKREGkXPPzWNUm1vmbeXXkOJI9xpagl0qnB902mMylOBubQBVldle00eWrotzhp8oRLBafr8ACyS9cgOFzOdjSXkfI6yTs86BIIpZtI1A0Mukdj+BQFPasa6WtNowAqLMT4aqgl5DXhXSN+ghBFGhYVcva3R0U8nqxjsIt4Cvzks8OEJ9Jks/kUVQZRZ3/0S33yxAEAUlwEXJ9BofcSjJ/kHT+JHljgLw5jmWlsOw8NhaioCKLAVSpGqfahkfdgNexA01uKBYaA0HXYyhS5ZwjuCR6S5LmLNYQbKY+8E/nbXcq7XMyqH0XJ8nnDGpaF1/h0BzKTaXgFamCsPt5PNqtGyAFQcOjrrtl57/VEAWFkOtxHEojydxB0oUT5IwBCsYYppWcvWdMREFDFn0oUjVOpRWPtgGvth2H0jJ3z/gdDyCJXkyruBIliR4UaWkDlyKVU+P/O6QLp8jq3eSNIQrGCLoVwTBjmHYK2y7M1tFYCEgIgookulDEMhSpEofShEvpxK1twKm0z7VrJSBLQYLOx3Apq/EX7p+jluWNYXRrZu6zuvSZCoKKJPhQpDIUqRxNrsehNOKQW3ApHSglyAoDSIKHCu+XCTgfmLfdra4tub7klxnjuWE+nv45w5keZFFhOj+OS/KiihoxfRoBkU7v+gXGUoVsgR/+1zfI5wrkMwXW7mznya/fh+ZceYfbnt5Jzp4fI583EAWoqwvx6ENrVvx97jaIgkhQ9bC1bOVX0pcLWZSocPipcCxV7n3loYgSNc4QNb+Sm71tcEgqq/x1rPLXLWl/c1Zta6lB3XIhCAIOSaXTV0unr/aWvtfV7+tVnDS4KpnK5tkYaOLhmiKddCqX5J2xCwymomwKtLE+tPLt+oULMLxOjfXN11bA6KybPwEYmY5zrHeUkZkEe9a34HPPd1fc84WdVLdUzKW0gxU+Hv7yvYxcHC+u0ARcOFwqnVtbABvNobLh/lUEKvwIokDL+kZqWitvWipSFBQ82jpcahcF5wh5cwzdnMayMnO1B4KgIoue2YlPA4pUsWAy5tGKaj432w6Pdu3Jd8eqGiqqfHRcQ+Lx/NlRJHn5qUVFKiPkvn3qK7+oEAQJt7oal9JB3niQgjlKwZwq3jMUwLYQBAVJKAYMmlKPKlXN+nNchltbg1tb3kRIECQ0uRpNrsKyH0A3p9HNSQwrjmklMe1sMcDAANsCpNk2OZDFALJUhibXIouBWUWnlYcgiDiUBhxKA37nfbMKUxOzAVAae9Y0UZgVAZAE92zbgqhSJbIUQlimJ6kkugi7n13Jy/mlRH/6PBO5Ydb4t9Lk7uTdyZdpdHXQ6Oogrs9wNPoxTe5OFHH+va1oMvc9txW9oOMNumld20B9x62Rjn3z7VN0ddZw5NgAG9c1cPrMyC9FgPEr/Ap3AsOZcfyKB6+yPG8j3dK5mBpgLDfFQxX3rHDrVgafTvaRNXUyRoFoIcND1Z1UOX2ci09wKjpKwTKocwe5v7INwzJ5a/Qc0UIGAYFVgSo2l9XjVRysCVQznp3Pcih3eFkTqCZtXK5ZGUpHGU7H6PBVUOZwcywyjGXbrPJX4ZRLX/grOcAwdJPuMyOcPNxPMOxl044WwpWlrRK899px2lbVUN9cvuC1wZ5JpiYTbNrRsiQlphtBU2TCPjcVaz2014TnshmXsPmhtfP+l2SJlvUNtKxvmLe9siFM5SLpyLr2lRysBERBxaE041Cab7z7HcLajfWoyrVvnSee2bTs+otfoVQICIJSXGVXbszbvZXtEAUVTa5Bk1fOW2ClIYs+ZNWHi1WLvm7ZNnvH+zgTm2BDyMPOyjtHQfgVLiOuR/ArIdb5d1DjbORw9ENCagVt3jVISGTMFL3ps6wP7EQVi32PIAioDpUnryp+v1WIJTI8/uhaBoamefLxdXz/r/bflvf9FX6FX0Z8PH2IsBbknrJNuOXSKOo5M8/J+HleHXsPr+y5awOMU7FRUnqB1YEqqp1+NFEmoed4ffg0XYFKQqKbN0bO0OYNU+n0EdJcaJLCTD7Nz4ZOsqmsviQuiSJKHJwewC2rhDQX7493s6Ws4bomkddDyQFGLltg/4fnCVf4qK4LojlKTy2dPNxPsMyzaIDh9jqwrOV5BCyGsN9N2L98Sb5rwbJs4rEMA31TDPVPMz2VJJ3OYegmiiLjdKl4fU6qagLUN4apqQ2iqNItKfxLJrIMD84w0DfN1GSCdDJHNltAEEBVZVxujWCZh/IKH00tFVTVBG6KGxwIXP/zXLuhftnnXmnYto1eMJmciBOZSRGNpIlF0yTiGfI5A1030AsGhm4hiAKKKqEoMqoq4/E68AddBAJugmVuqqoDuD2OO8Kr/kWBbdnkcjqRmRQz00li0TSpZI5UMkc6nSef0zF0E8MwMc2iCIMkicUfWULTivery6XidGv4Ay5CZW6CIQ/+gOuWGzgKQJnDzXQuzfn4FDsr72TQdvPQdZNYJE0kkiI6kyIey5BO5clk8mTSBfSCgWmamGbREE0UBERJRJZEZEVCcyg4nSpOl4rbreHzO/EHXPgDLgJBd5EOeVuKmQVUUUUSikOWJjrJmikMS0eTHTS42jgS/RjjFqq03AjhkBfbsjEMi7ffO0MytTKmXb/CzcGybJKJLNOTCSKRNLFImmgkRSadp1Aw0AsmhYKBZVnIsoSiyqiKhOZU8QecBAJuAkE3ZRVeKir9KMovL7XRtm1ShQLDsQRjiQSJXJ6cbmCsQM1ltc/Lwx1L830AGM1O8MnMUVRRYVtoPU7JceODgIyRY9/MYd4Y/5C+9DDbQqVTpfPGBLHcfoLO3ahSWcnHl4Iqp5dt4UaCWjGIOh0d41hkGFmUcMkKU7kUY9kEQdXNSCaOYVtE8hl6kzPYtl1S/1zh8FLh8DKVSzGQiiAAje4g6jJMOaGEAMO2bKbG47z72nGOfnKRVRsb0ZwqjW2VnDk2QCKWZeeeLgYuTjA8MM3aWcnB4wd6GeqbxrIstu5up2PtZW5cLJLi47fPsG5LE3VNYc4eG+TYgV5q6kM0tJRjmzYDvZMc3ltUyinkDepbyrn3kTXMTCU5vLebWCRFMpalqi7Izj2rCFfeWnk307SYGItx8JMeThwbYGI0RjSaJp0qdlaWaSFJIooqoWkKXp+TQMhNTV2ILdtb2Ly9GY/HcdODsm3bTI7HOXyglxNHBxgbiRGNpEincuTzBsasZrwki6iKjNOt4fE4CJV5qKkPsnlbMxs2N+G9xQZddwKWZTM8OEN/7yQDfVMMD84Qi2TIpPNksgWymQL5XAFDtzDN4o81qzgmXprsSiKaJuN0qjicKi63itfvorLaT319Gc1tFbR1VqNp8h1Ri7kbYNtgGCaT43GGB2cYGZphdDhKZCZFOp0nk8qTzRbI53UKeYNC3kA3TCzTwrLs2dopAVEUEMTib1mWUBQJVZVRVKn42btUXG4Nj9dBdU2Q2oYQ9Q1h6hpCuD1LG1Suxkg6zsfjfWQMnUQhR5M3xJP1naiSTJsvTIMniHWF2VWykGPvRD/d8WlcssqWcC0bw7VcjE/z0Xgv8UKOkObi3qpmWnxlnI6Mc2h6mHghi09x8ER9F1UuL8emRzk4NUjW1GffswtlmZ33YshmC8XFht4pRoYijI3GSMQzZGcDily2QKFgUCiY6LqBaRS/C9u2iws7AgiiiCgISJKANPt9KGrxO3E4VBxOBYdTxe3RCIU8VFT5qazyU9sQoqY2hMO58kGHW/YwmR8maxbrhIJKmOFsHx36DE7JTUyfuWbh92LI53USiSx+vwtVXRmm8HPPbEZVZR59aDX9gzM89vDaGx/0K6w4bBtSySyD/dP0904x2D/FxFicZCJLJl3sk7KZ4nNgGleOAfblxQ5JQFIknI5icD13v5d5qKkL0dgcprW9iqqawDzH+FKQyOXwqBoZvYAmy0iiyHgihSZL+BwaU+k0Xk3Dq915NoBl24zEE3zQ08fR4THGEkkSuTx5w0A3zXl95XKxraG2pADDxmY4O8bLI2+higqbAmuuW0th2zYpI8MbEx/y3uSnjOemcEoaFVrpWWrDSpLMH8enbYRbHGD4FMe8Cb5DVlBFmU5/BQHVyZpANQ3uIGfj4xyPjPB84wb6ktPoc74fS++LRUFgZ0UTH0/00p+aYV2whpDmXnZ/vvSeVShmF9pX13L22CCda2tpaqsE22ZyNM7URJyde7qIzqQZuDhJ26oazp8aZqh/mlUb6lFUmfKqQHESJ4rMTCXp754kGPbgCxTlKCtqAmiaTP/FyVkpQoGZyQQHP+7m67/zEDNTSY4f6GPt5iYmRqL0nBvjvsfWcPTTXqYnE7g88x/EM6eGef/NU0xOXF9hJ1Tm4dt//7EbDjTpVJ7D+3t487UT9F2cIDKTwjQXRu6WZaLrJpl0gWgkzWD/NGdPjXDq2CAfvHOazzy3hQ2bG5GWuRqbTuc5uO8i7799mp4L48zMpOYCigVtKZjoBZN0Os/0ZIL+3klOHZc5cWSA5rYKHnpsHVt3tv61WJWJzKQ4eWyQowf7GOyfIhbNkIhnSCVzWNaNO8DiJMuc+ywz6TxR5hs0OZyzQWPQTWV1gK7VNazf3EhHV80vRWbDtourgd3nx+g+N07fxUmmpxIkE1mSiSypZDHAXfL5sDFNe86eo3CdYwVRmFtF9/mchCt8tLZXsnp9PW0dVSUFy8lCjg/GeniucR2rg5X8efdh1oaqaPEuLMg0LJOexAzHZkZ5uLadgWSUvRP91HkCBDUnG8tqKVgmH431cio6TrOvjE8mB0gbBTaV1eJXHXgUlVg+w8+Hz7GtvB6f4uDF3mN0+ivo8IdvakKezRTo6R7n1PEherrHmRyPE49mSCaypNP5Jd37l2DbYJsWFmAYwA2+S01TcHlU3G5H8bkIuKiuC9LUWkFHZzX1TWFkWbzpgKPSUcdQpoesWXwemz2rOJc8xs9Gv4tfCTGaHaDSWY+8BElFy7LJZAokkzn8s+p/mUyeVCqP261h28XXvd5i8CpJIpZVVIRKJHOIooDf51wwsWxtqWBqOonP56KlSSQQWJ6y4K+wPORzOoP90xw93M/50yOMj8WIxzKz2WqdpcyBLwUbAGR1Uon5WShREvB4HPj8LsLlXhqay1m7vp7V6+oor/SXZJ/xUe8AD7Y1c2R4jI6KMDPpDH2RKDU+LwXDIJbLkTdMHutow6neOXnsvGFwaGiEHxw9ybGRMabTmRXJWFyNSKY0z5DVvnbOJ/sYyIzww+Gfo4oq6/wdKIv0AbZtE9Xj/Gj4TT6ZOUJMT+CRXdwb3sqjlddXjkoVzhDLHkC3Ysiil3LX4wCYdobx1EsAyKKXGu+XkUQXU+k3SBXOIggyPm0zHrWTqfTrlLufZCbzLppUiSbXkNYvUrGUWlNBmBcj1Lr8PFDVxtnYBJIgYGOzIVSHS1YYyybYP9VPwTIod3ixbZv+9Aw/HjjOufgEIdWFKAhsKWugJznFa8OnGUhFGJ/NfKwJVFPnCiAJAhPZJHuq2nHJyy+AX3KAIQgCbq+D1q5q/CE3LR1VNLZVkl6QBi4+xfmczvREAp/fxYbtLfM6Y8u0eOeVY9Q3lbP9gU4CoWKEVFEdoLo+RPrsZf1uURAoK/eyemMj48MRTh7sI53MomoyesHg+ME+BAHWbGrEdVWh9cxUkqOH+hnom7rutTmcCt/41h4U5doUppmpJK/99AjvvnGK8dHYooHF9aAXDIYHZxgbiTLUP8NDj63l+S/tKHkFfHQ4ypuvHuPDd88wPhrHMEq3dS8UDAb7pxkdjjLQN835MyM898XtBIIrTyW7HRjsn+aDt09z8tggkxNxpqeS152o3gxyWZ1cVmdqIkHPhXFOHx/k/bdO07Gqhj2PrmbdhsabKnC/W5FO5YrB26F+ervHiUUzxGPFSWypz8JyYVv2HN1qlCjiuTFOHhvkg3fOUNdQxpbtLWzd2UpFlX9Jz5RH1lgVrKDO7ecn/acYSkVp8i7UHs+bJufjUxyaGkJAIFHI4ZBkYvksOdPg0NQwNjbnYlOEHW5s22ZLuI7D08PsnxxgY1ktLb4yhtJxTs2MkdELuBWNqWyayWySdn+4ZEKobcP0ZIIjB3s5fLCXwb5pItOp2/p9QDETkM/rRGeKE39BAIdTnQs2whU+2jqr2bC5ka41tcteyKh3tuKtCOBTAgDUOpvYUfYwR6IfM5EbodJRx66yx3FKS5vUp9N5+gemKS/3kcvpdF+cIJ/TCQbdJFM5bMumra2S4eEIwaCbTCZPIpHDNC3GJ+Js39ZCdbV/Xp3gX/34ICOjURyztOFAwMVXvrDjWk24JSgUDC50jzM6GuOxR2+cQYlEUhw9NkhTU5jWloUKaT29k4yMRtm+tQWH4+70gMmk8xw/MsDeD87Rd3GC6akkifiteQ4s0yYRz5KIZxkemuHcmREOfXKRmroQm7Y1c899HdTUBZdUPzqeSGJYNlOpNE2hACGXk4ODw0QzGRK5PF5NQxZFcoZxxwIMw7I4PDTKdz76lFNjE+TN0ucbtwq7wpvJmjleG3uf/vQwfzn4M9SmF+jytiJfseJv2zZjuUm+N/hTjsfOkTGz+GUvT1Q/wIMVOwmr1/ebiOcOYVgJAo4dKJIfWQpgGuMUzAhB5/045BqG439E1rkbQVCYybxPje9LmFaW6cxbiIJCRu+lYM4Qzx3CpbQgCBp542qfmoV4vHY1DknGcUXQ5JAUnqpbw0Q2iTVrCKuJEi3eMH9n1QPIoogkiIgIiIJImebmsZpV3F/VhiyIhDUPDkmm3h3ksw3rKZgGqiRT5fQhCyKSWHQ9b/aWEdLcy66/gBVQkbpEb8hlClizE4B4NI0sSwgI5HM6pmEiSeKcMR3APQ+uYmoszoVTwwRC7gXBwSUIooDLrRXfRxCQZHE2lS/g9TvZsK2ZsnIfgdDyJ8e5rM7oSJRO/+IroDNTSX70g/28+epx4rHMst8HiiskA31T/PjF/SSTOX7z2w8iL3HQHeyf5sc/2M9H750lES8t2l8MhmEy0DtJdLY24avfvI+Kqjsn61cqhgdneO+t0xz6tIeRoRmSieySVqlWCpZlE42kiUbSDA/OcPrEIG2d1Tz52U2s29hYqhnsApw92EtsZmmeKJfg9btYe0/7zb3xLAzD4tzpYQ7su8iZk0PMTBfvk0x6eY67K41LdVDxWIbhwQjnTo/w4btn2f1AJ7v3dFEW9l73+EQhh2EXPU6j+SweRZut/Zp/E0miQEB1UOf285mGVbOSgzKKKHFgchBZFNlZ0cBgKjpHFVgVqKDC6WEql+IHPceodvnwKRoeVePB2jYqnV6eblhFjctXcnAxM5Xkk48usO+j8wz0TRGLptELd8fAb9vFjEo2U2ByPM7FC+OcOjHEB2+fprLKz/rNjWzZ3kJLW2VJRndOyY1TupyqV0WNNb6t1Dtb0G0dh+jEr5QhLkH6VxCK1FHbsjFNC6dTRVNlBvqn0TQFWRLpH5omHPaSTOZwOlWSqTwXusdxaDKFgkkup89mNS6f9/jJIb7xtd0os5lp5TpCGLcKlmUTjWYYGY0uaf983mB0LEZZ2eJKPJUVPrxex12Z4c5lC5w4Osi7b57i3OkRZqYSJWVPbxr25bnDxHicnu5x9n14nh2729nzyBoqqwPXHQNq/D7eONfNmYlJNtfXkMvlsWybiXiKNVWVDESjVPt8uNRbK6F6PQxEYrx47CTHR8dvSdbiZuBXvDxcuQvLtnht/H360kP8+cDL/FbLF2lxNyAJxTnnxdQA3x34Md3JPnTbIKwG+VzdE+wo24hfuf4YAeDXthLL7SeS/RCvth5NKsq5qlIIj9qJU25GFr3oZgzdjKDKIbzqBkw7RST7EVl9CFWqJKNfBEHCtDPoVgSHfG011Euody8e/IQdHsKO+c+sjMSGRaRmvYqDNcGF7xWWFp7jQnySd8bOM5VL8rnGjXiV5VGQL7fpJqFpChXVfj557yy//29fpZDXCZR5kGSRtVsa2fvOWX7/376GKArsfmQ167Y2gwB1TWG27mrnZz/4FJdbY/22Zl5/6RAnD/URnU4hySKPPru5+CZXPaWWaVPI6YyPRHnnleNIkkhrVzX3P74Wj3d5NQV9PZN0rKpZ0CHEoml+8sOD/PxnR0kmVq5oLxbN8MYrR1FViV//7T03pNcM9k/zw+99wkfvniW9ghM824Z4LMOH755BEAR+47cfIHiNweZuQTaT5503T/HO6ycZ7J8mlczNC17vBHI5nYG+acZGYvRcGOee+zp4+vktVJSosHYlXv2TDzj16cUl7y+KAp2bmm46wIjOpDh0oId9H55nsG+aaCRNOpW7rcFbqTAMk+mpJNFImoG+KY4c7OPp5zazYUvTNamPoijw3QuHyJsGFU4Prb4yskaB/3H2U45NjwACpmXxbNMa1gSrOB+f5gc9xxEEWB2s5PH6TmRRYt/kANO5FPFCDp+qYWPzyuBZjs2MYEPR5ElWqHb5ebi2g4/G+jBtCxubf7T+gUXbthhyOZ3jR/p57eUjnD8zSjyewTTurkH/aliWTSKWIRHLMDQwzfmzo7z985O0tley+4EuNm1pwu298SC2WEbKITlxSKVrt+u6yfhYnIsXJ/D5nLS1VZLN6SRTOSYmEwQCLmLxLMlkjkDAxYUL44yORqmuDpDL6SCAx6MtWKV2aApNDeEVq+lYLgzT4mLvJL//B+9hWzbbt7WwZXMTPb2TvP/hOWKxDMGgm/t2d+Bxa2SyBd5+9wwffHSeinIvDz+0mopyH0ePDfDxvm4qK/x85qkNuFwqtm3z8b4LHDkygCCKrFtTy4N7VhGPZ3j3/bMMDM6gKBLr19Zz370dt+T6LNNiZDjCj36wnyP7e5mZSd2yjPVSYZoW0Uh6drFjhhNHB3jimY1s2dGK+xqLp7uaG0jlC2xrqKXK68W0LR7ragcbfA6VZL4ahyyjLrPG42aRNwxOj0/wYW//vOBCkyVWVVaws7Ge1nCIoNOBIkk3Lczjd5Y+mfUrXh6rug8Tk9fHPqAnNcgf9/2Qb7d8hTpXFUejZ/jzwZ8wnBnDxqbWWcVXG55lnb8Dl7y0uaJLaUWRytCtGUaTP0CTKpBFP5LgQqDIQBGQAQtFKqOQnQRsbNtEt2ZwyLsRBJF47ghedTWGlSBduEDY9VjJ13urUePy81TdGgSgwulFvkkl15J7Qq/Pwdd+56E5Oo0gCrR0VvONv/sotmUjiAKaJuPxuwiFvYTKfeSzRZ1dX8CFJIl8+bf34PE6cLhUnv/6bhxOFVWVue+xtWy/rwPLtNGcCoFQsT7jktpUuNLHF755P4Zhcub4IDv3dNG1rp6BnkkGe6eYHIsvO8DovThRnG1f8ZDksgX27+3m1ZcPr2hwcQnJRI7XfnqUxuZyHnzs2uns6ckEb756jA/eOUM2U7jmfjeDdCrP3g/OEQi6+dpv3rfkrMrtRvf5MV5+8QBHDvYRnUmVxC+/HSgUDAb6ppiaTHDm5DAvfGknO+/tWFY24/Gv7mb7o5cVLnKZPD/4z29QURdiy4OrCVX6sW2bqZEoxz86h14w+NzfXn6nNToc4YN3zvDpxxeYGIuTSGSvWdtzt8I0LSIzKQ5+cpHhwRmeem4zDz++Fv8iymdlmpvPNq4hqDlxygp+1YmNza+1buS5puLz6JJVfKoDv+rkK22bSOuF2e0KXkXjsboOdlQ0IM06OPtUDRGBPTWtbC2vQ6DoLhzSXKiSxBP1neysaJjLdLjlpRVwTo7HefXlw7z31mlmppLov2DfC8zPOI0ORejrmcSyLO5/aPVNn9uwdM4mj9LhWY92AzUZWZbo6KiitjaIy6XicCh0dVbT2FCGpsmAQFtrBZ5ZxbjqmgCGbuJ0qpimhW3b+HzOBc+0bVv8H//yx9TXhxBFgYDfxVe+uPOmr61UmKaFosg88/RGenomOXi4j9aWCqqr/Dz5+Hos0+L9D89z/sI4mzc1ks3qdHVWs3FDPT/52VEuXpzA73fR3lbJxGSC4ZEo1uwEc2oqyfsfnuebv34f6XSel396mI72KgzD5MTJYT77mY1UVvpxuW7Nqns+p/PRe2f40Q8OMDw4Qy5751TDFsOle/zYoX76eye5b88qnv3CNqprQwvuF7/DgU+7LKls2zZORUGc/dt7xWt3AjPpDIeGRkjlL885Kr0evrhhLU+t7qTM7cIhy8iSiAA3r/y5zMN9ioenqh7Esm1eH/uA7mQ/f9D3fTb4V/HO5D4m8zOICLR5GvhG0+dp8TSgLqFWqwibycxrxHMHAOaMa68Fr7aWeG4/52d+FwEBt9KOV9uIkD/JuP4S1d4vksgfJZ47iFNpuOZ57hQ8ioZHWTlRgZIDDEmWqKgKzP0vCAKaQ6GqdvFUTln5whRU+RU0nPIrVnjDFQu/OHVWthJAUWXClT4y6Txuj8bed85y6vAApmnRua6OqprAguOXir6LE/OIEaZp0Xtxgr/4449uSXBxCfFomr/8049ZtbaWqpqFn2Emk+fTjy/w858du2XBxSUk4hn2fnCWlvaKFRn0VxKGYfL+W6f5yQ8P0t8zeXtT4SXCtosB26njQ0RmUgwPzvDMC1twlOgevGpby7wA6vv/8TUaOqr4rf/zc4Qq/UhKcXXBKJhse2QtP/zOG5zc103b+tI6ruHBGd589Tj793UzNZ4gkymtMPhuhK6bDA3M8L0//ojoTIrPfn4b5Vf1L7IgUun0UuO+crtArXvxrFPY4SbsmB+oBDQnAW3hosZi+wJ4FQ1vCR24ZVn0XZzke3/yMYcP9N419LSbRVHBx6S988Y0gaUga6Z5d+Jl6p2tNwwwxFmxgCtXlj0eEY9Hm5vowWWlv2LQwRWvMff/lXjysfXk8vqcR5DDeWd484osUVXho6Y6QCZT4Hx3UQgkXzDY+0k3lmXTfXGCrZubisGS10FVpY/amiDlYS/xRJZCXsfrdeL3Oxkdi8+de3BohgvdE/z5X+4rMgkKBslUjvq6EPff18FHey/gdms8/OBqAv6VK3K37WLtwx//j/fY98E54rHsHc9aXw+GYTI9meTnPzvG8FCEr3zjXjpX1yyQ2b7yHiquhC/cfqcQy+Y4Nzk9979HU/nsmi6+tnUjfqfjprj5Kw2v4uaZmocxbZOfj3/I+WQvA+kR0mYWEYENgVV8s/nzVDnKkUo0dC1zPkjAUaylEgUVWfQDNg2Bvzn7NzQG/zaS4EIUnNT6fgPTzgACkuBGElx4tY10hf8tqlSBQ66mzPkgkvCLWfNaCn7hnLwBnC6VHQ90sX5by+yqgIDmkEuewF2Jvt5JLNNGmr33EvEsL/3lfibGYivR5GvCtmFkKMKf/9FH/OPf++y81yzL5vzpUX70g/0rUnOxlLYMD0Z4/+3TrNvYQDC0NKpUZDrJ1GQCXb+cRu1cVY2yQlSBTDrPqz8+wis/PsTEePwXZvJrmhbDgxFe/PN9jI9G+dpv3b/kzxRAvorDffSDc+x4Yj3lV/nPaA6obCijprWSIx+c4flvP1xSO2emkxw91Ed/z+RdTYMqFZcmJT996RCWZfPcF7fPBRmt/jB/b919K7pas9IwTYvzZ0b5n//1LbrPjf1CZi2uBYdDYe2GBipXqOYrZ2ZJGQlslkcZu3qit9TXrsSmDQ1zi1SmaRGNpq+5762EYZhEY2lsu0iry2QKGKbJhe5xysNe7t3Vzks/PjzXjyZTWbLZospSNJYhHPYu6HsuobzcR7jMw29/8wEEUcC2bLxeB7IssnN7K+vX1XPkyACv/fwEv/M3HlqR67kkyf7//ptXOXl88I7ToUpBNlvg6MFeJsZifPPbD7J1ZyuadncWy1+NdKHAaPyyAmdXRTkPtbcQcN68zP6tgEd28ULt41i2xc/HPyRtZhEQ2Fm2md9s/gIBxbuMdgsoUgCFwIJXVCm86N+L7S8JDiSxSOcUBeW6WZBS8JMLZ3ml+zz31zfx9fUbV+ScK4lfyABDEAQcs/4EK4VMqsDEeIy6hjL0gsGJowN88vGF2zLh0nWTIwd7OX9mlM7Vl12QJ8fjvPvmSUaGllawtxIwTYvus2N88tEFnrpUA3MdfPTuWX784gEMwyxyj2ef39/7V58jsAIBRmQmxUt/+QlvvnqCRDzzCzcBtu1iyvydN05R0E2+8a09Nyw+vhYKeZ1kJI29SIBlmhaJmRR6rnTKQMeqGmrrQvRcGMe4yzn9y0E2U+BnLx3C53fy5Gc34/M7UURp0czD3QLLtOg+N85//09v0H1+7BcmqF4qPF4H9z64CvEa/PJYYYaJ3DAhtYJyRzWj2QGm8tdWXYkVpilYd9bY7sqi7kQ2y8/fPMVv/sbtcRG/ErIikcsb/Nt//xoF3eCe7a001JcxOBjh7ffOcLFnkkQyy466FgB8Phcf7b3A2++eIeB30tpcjqpIfP/F/Rw+0k80lmZ6OsHnX9hGfV2IPfd38Z//f28hCkUa2O98+yFGRqP8/v98H0kqMhp2bF+6n8GN0Nczyb/9Fz9msH/mtiqkrRQMw2JoYJr/9p/e4Nt/9zG27267ZpCRNXT+x4kDHJocBgTaAiF+d9uDKNLtpywXTHMePao+4Ke9/OYktW81XLKTL9Y/jSIq/GT0bQxLx7CNZQYXdz8ea24jlsvNUXfvNvxCBhi3ApZl03dxgrqGMlKpPD/47t7byj9PxLK8+vLhuQCjUDA4e3qYD945c9tTwZMTCY4d6uf+h1bjuUEB5sFPL/KZ57ewdWfLvLoNxzIc3q9GLJrmxT/fx+s/PXrL6WG3Gpl0nvffOo1lWPzGt/YsS62ra0sz7764n5qWCh76wg4cszzndCLLOy9+yievH2fPC9tKPq/DobBjdzvnzowwOnz7gtnbiVxO54ff+5Tq2iD33NuxYtm1WwHbthkfjfGH/+1tLpwbu6upIMuBKArU1IXYsOnaLukXU6d5c/xFdoUfZ4/jGY7G9vLx1OvX3N/GxrDvDB//ldeP8+hDq/mrHx+aGzNyeZ2+gekbHLny0DSZ3fe0sWNby6zJVpEyJUkie/Z0ce/u9iLVCxtZKm7/6pd2zpktiqIwJ9f+wnNbePaZTbPbRRRFQhQFnnpiPY89sgYoLvYpikRtTZDf++fPzG2TV0iqe2hgmn/5z/+KsZHoL9zi0pWwbZiaSPBf//3r/C3rCXbe174gyLBsm954hAvxaf7Hw89j2TaGZd10oe1yYVoWOb34TEmCgM+h4dXunKLVUuGQND5f9wR+xct3+3/Eidg5DkZOsL1sw51u2orDqSg4ZHnuewKI53L88fEjHJ8Yx+9w8HRbB2vKK3ivv5dKj5dHmls5Oj7G0YlRdtbWY1o2L58/Q18sSqM/wFfXbqAttDLmgcseZSPZLH92+ijHp8Z5vn01z7R1zb02kkxwYGyYep+frVXXV/n4W2/9jL+35R46QqW5KZ6enuSNvm6e71hNs//6OsZLg03PxQl23tfJ4f09XLwwfs09i2aBwhw9q6gYwFwnvRwUCgbHDhc9OxqawowOR3jt5SM3LGIThFnupniJv1kcPGzLXvaqp23bDPRNcfLoAPfc33ndfTVNIVzhxeN1zrXlZnFp1f+v/uITXvvJUXLZlQsu5j6vWfOaS5/ZFe9eNBvDhtnvdKWQz+l88M4ZJFnkm3/jwTn/l6XiK//4aYa6J/jDf/ESf/B//hBf0IONTSqWQRQF1u5s44VvP1JyuwRBYMfudt5/+zTjo7EVXy2fuy+EYiHg5Uu+9Efx/S597rbNolmam0U8luEH391HdU2Qts6qu3JFy7aL0sff//O9nDw6sKKTqsvfQ7GvWPg9wNXfBXaxTSvZDpdbY88ja67rF9Pp3UClowafUuzbTdtgtW8LGwL34JQWcpdnChP8fPz7K9fIElBVVfTDOHp8gCceXYcgQCZTYHQ8fuODVxjFyb20gOsPxUBDWWT7tVSvrrVdUaQFsrWCIOBcQUaBbdsMD87wL/7ZiyseXBT7/8u/Z7deeufZ9798369kgB+Lpvkv/+5VHM5n2bytuCh3qR8SKIpETGXS9CeitAfCuBThjvVTkiiiyjI5w0AUhNse6Lw/uZ8/6X9pyfuLgoAmqrgkJy5ZQxMdeBUPkUKM/9T9R2g9i9NhNwfX8Hfbf2Olmn1HUTBNDo2NMJPN8D+efpaLkRn+6uwpmgIByl1ujo6Pcn9DEz3RGQqmSdjp4kfnz7C+sop/uHM3f3L8CEfHx6hwu/FpNydRCzcRYAQdDr6yegP+Hsc8m3jTsihzOnm8uX1OXs2ybXTTxLRtmLUu1yQJURQxrKJco2lb5A2zuF0Q0C0L3TIRAFkUUSUZy7YpmCambZEzjOKxK/Tw2zb0XpggncrxysuHF91HlkV8fhcdq2pYt7GBmrogbo9jzkTv0P4ezp8ZXbJz9NVIJXMc2NdNVXWA82fHOHF04Jr7ipKAQ1NobCln7cYGmlsrCIU8iKJILJrm/NlR9u+9wOR4gkKhdM7q+FiMs6dHigpI15HQXb+pgWOH+lBVmZq60Jzc7iXvklJxySn65RcP8MqPD990cFHUvJeQZRGnS6OhMUxTSzkVVX7Kyr14PBqqpiBJIoZukssViMeyTE8lGB2O0Ns9ydRkgnxexzSsm07RFwoGH757Fn/AxZd+415cLnXJA0io0s+/evHvsO/VYxz98BzTI1FEQaCiIcTG+1ex4/F1y16Zd7pU7rmvk54L40xOJG58wDUgigKiVDTrkaSiOWd1bZDauiDhch+hsAef34XDoaBqCqJQ5IzncjqxaIaZ6STDAzP09U4yMRbH0E0Mw1yxoKf7/Bh7PzxHRZUfn9951wUZum5y/HA/b/zs2E1PqkSx6BskSSIut0ZtXYi6hjLKq/yUlXnweDVcLgeKWuyLLdOkUDDIZnUS8QyxSJrp6SRjw1HGRqIk4lkM08IyLaxZD4nlwO93ce9DXdf97D2yD498macsIlHlqKPDuw5NXEhtCxbKUMQ7U0+zZWMxE/Pow2t4eM9qBAESyRzTM6k70p5fdNi2zehwhH/1uy8xPDizIs+BLEvIikgo7KW5pYLa+hDllX6CIRcOp4qmydgWs/d/genJJFOTcQb7pum9OEEqlcM0LAzj5uccyUSO//LvXuf3/u/P09FVjSheXpirdvv4Z1vv57+f2I8NfKljPbtrGu9IQbUmy4RcTkYTSXTLIl0oYFjWbaNr6bZO0liZZ6hg6RSsxRdrs+adpVauJAzLYjydojkYRJEkvJpG0OFkIpWi1ufnYjTCW30XSRYKdITCpHWd/miUt3ou8mr3eWwbHmpuwVyh8XbZAcaVigdXYjAR5wfnTjCSTPKFrjXcX9/MWCrJi+dO0huLYNrFxO23N25nXXklAmBYNmdnpvmjE4f5Gxu30uIP8Renj7N/fBgB2FBexW9t2MJkOs0fHD/IWDqJKkorEmFdifNnR/nZjw5x5sTwgmsNlXm498Eunv3cVuoaF2Zbtt3Txmc/v43jh/v5/nf3cvrEUMlFmdlMgcMH+th2Tzvvv3lq0Y5VEMDpVNm4tZnnvrid1evqFl1p2vPoGr76zXt56S/38+rLR4iVWHCYzRQYHpwhMpNaVAnsEs6cGuGjd8/yyo+PzNv+3/70twlf57hroVAw+ODtMzdNi5IkEadLpaLKz87d7Wzd0Up7VzVaiW60tl00NjtxtJ9PPrrAmZPDxOOZmyo0zKTzvP36CUJhL08/t3nJuvmCIKBqCnte2LYsKtSNzn3PfR2899YppqeSS57QX6JIKKqE261R3ximc3UNnatraGmvoizsXTZdYmI8xtEDfXz47lnOnx0lmy2sCG3x9Z8eZeuOVlavq79pM8SVhG3bzEwn+cs//fimJlWKKuF0qrR3VrNlZyvrNzXQ1FyBokrLDqgsyyIWSdPfO8nFCxNcPD9Oz6yju64b6AVzSQGHqsps29VGYBHZ4CtxdTub3Z2okgNFXDwgd4guXJIHgdtPJ7nUnscfviQ1LuDzOvj1r+y67W3564BkIst3/sPPGeyfXvZzIAhF1Umv10nHqmq272pn09YmKqsC182cXQ3bLi6A9F+cYP++ixz45CJD/dPkcvpNLTZNTST4zr9/nd/9V5+j+gr1S0kQ2FJRy8byGo5PjfEHpw7S6A3Q4Atc81y3Cl5NpTEUYDRRNHuNZLJMJFPUBW6PGa8iyHjkW6+05JA0TMsim9fJXbEYKwoCiizhUGeleAUBy7JJZvPoxrXHIUkUCHhu/eKVbduk9AI5QydnGCTzeRRJosEX4I3ebmK5LJPpNNF8jjqfn7DLRY3Xy8vnzrK1ppYNlVUookhrqIzttfU82NRclEqWi7SrlcCKE5GbA0G+2LWO9wb75m2fyWZ4pKmNZ9q6+H8P7WMgHqUtGEISBI5NjnFycpy/u2UnDb4A/fEo7wz28B8eepJkPs9/PLiXM9NTzGQzFEyT//7Ys+wfG+avzp1c0bZHI2n+7A8/nLdNFAXqGsr40q/v4qHH1y0wV7oSkiSyeXsL4Qof/+u/vcOhT3tKCjJM02Kgd5LXfnKYY4f7F7wuCEXZ3888v4Wnn9u8qLb/lfB4nfzGt/bgD7r58//1QclKVJPjcfp7J68bYPzGt/bwtd+aX8ho6BZeX+nBn2GYHD3Yx6s/OUI0sjwFFkEQ8PocdKyq4ennNrNtZxuqtvzbXBAgXOHlocfX8dDj6xjom+LNV4/z8fvnmJ5MLFvZZ2Y6xbtvnKSuPsSW7S3XLHa9GrZtoxeMosHabLB+ZTcmSOKyxQ/8ARc7d7fT3zN53c+/KE0t43SqhMt9rNvUwMYtTXSuqSUYXLkBobIqwBOf3cSjT2/g4oVxXv7Bfg7t7yGZWF6G8BKiM2kO7LtIfWMYf2DlpDRvFoWCwcF9F+nvnVrW8ZIsEgi62XlvO08+s4nmtooVc5MWxeLqbyjsZfNsAW8upzPQO8Xpk0McP9xPf+8UqWSOfE6/ZtbU6VKv6/lzLazxb73u607ZwxfqvjUv63G7MT4ep2q2tsowLKZmktRcIel+MyiYJmm9gFfVlkxVsWwbc5EV50umaXeK23895HI63/vjjzl9YmjZE3hVk6ms8rN9VzuPPLmOpuaKkoKKKyEIRUpY+6oa2lfV8MKXd3D0QB8/f+UYp08MkUkvX9K7+9wYf/UX+/jNbz80V+sYy+fIGDqyKCKLImVOFyYrR9EqBWVuF+uqq/i0fwiboqv32Ykpavy+25JR2RxcS4OrdCPNUuGWnUxEkvzRawf42b4zOFUFWRbxOjXa68t5eucqtnbV43aoJLN5/uWfvsmR88VFaN20yBV0HKqCMjuG11UE+O7/58u3vN150+R/HjnI6alJDMsid9jkmxs2s6GyijPTk/ze+2/jVTUeaW6lKVCkmtZ4fbhVlQqXmzJncey7v6GRV7ov8MEHfSDAV9auZ2tVLdIKfMe3rdKxwu0h5HQiCgIeRcWi2AEWLJPXes6zNlyJOtsRjqWTjCYT/Lv9HxUdBV1udMskWchT4fYgAC5ZJuS4tZMDQYCq6gBf/o17efiJdTc+YBYNTWG++PVdxGMZzp0eKakDmplO8fKLBxd9LVjm4bkvbOeZF7biLMHI6NnPbaW/Z5I3Xj1WkvNvZCbF6HCULTuuvY/DoQDzswJHD/Wxel0dmrb0Tt2ybHovTvDaT47Q2z2x5OOuhKrJ1DeE+cJX7+GBR1Yj3QIH1Mbmcn77bz/Cg4+u4fvf3cvRQ/0kE8uTEL5wdoz33jpFbUMZ1TWBG654GLrJ5PAMF44NMjUcQS8sTPmWVQd4/Cu7l9UegN0PdPH+26eJRTMLqACaJuPxOghX+Ni8rZltO9voXF1zywumJUmkc1UNf/+ff4ZDn/bwl3+6l76LEzcl2/rx++fY88iau4YmZds2mVSet14/sazjNU1m1bo6vvi1Xazf1Hhb3KQdDmUuW/XCr+1gejLBqRNDHN7fw7nTRafxTCo/F2yIokBzWyVdq2pucObFYds2pm1g2MaicrRlWiViiRr3K4n/8F/f4P/5V19AFAWSqRx//N2P+N1/+syKnLsnFuH7Z0/w7Y3bqfYsLTMcyWboi0fZVl03b/tgIoZuWXSWWPd4q2EYJu++cZJ33zy1LAM9URQIhNxsv6eNZ17YSmtH1bJouteDy6Wxe08X6zc38vF7Z/npjw4x2D+NXlheX/T6T4+xYXMT9+7pQpAEeuIR/sfJ/SiShFNSeLCuhWbfStSYlo6Qy8WOxjp+duocY8kkPTMR3rvYy7qaKio9pdUPLgc+xYNPWbqs+81gNFWsl2qrDfP0Pavwux0MTsTYe6qP//zSR/yt53ezZ2MrTk3hC3s28ODG4iLLqb4JXt9/lqfvWU1nfTmSKOB23B6qpkOW+Uc77130tb+xeXGGw/aaOrbXzO8POsvK6SwrX/H2wTIDDHu2FmI0nSSayxYVEjJpgg4necNgPJ0ilssync0QzWUxbatY3LkIqUpA5Hfv2cO7A7281nOB5zpW0+IPsaqsgr+5aQeSUDyu0u1GN032jQzSF48ykkwQL9xa7pzLrbHnsTU8tJwVt3X13PfgKsZHY0RWgIvrdKrc/9BqHv/MxpKCCyi6rf/a13exf+8FZqaX3pZ4LMP4WAzTtOZN1g3dRBAFJEmkkDcwrfmD/c9eOkRTS3lJet+JeIa975/j4CcXl3zMlfB4HezY3c43/saDVFT6bnnn19ZZzT/5P57lxb/Yx6svHyFSwud6CbZts3/vRVraqvjM81tuaMx18cQg3/kn3yM2nURzKIvWxrSsrb+pAKOiys/WnW0MD86QTOQQRAGv14E/4GL1+nrufaCLTVubbyortFxomsI993ZQUxvkj37/PY4e7FtWfREUzQV7useprQ+VTJu7FbAtm+GhCOfPjJZ8rKrKbN/Vzle+cS8t7ZV3LGAKV/jY88ga9jyyhuhMimNH+jmw9yLd58eIxzLoBYNHn1p33Zqua8G0TRJ6lNFsP9OFMXJmbk4l6Uo8UP70okXgtwOqKmOYFoogYJrWdbPdy4FpW4ynk+QMA5eiUO5yIwDRXJZEIY+AgEdVCTqcpPUCxybHeHugh0q3B5eiEtAcpAp5PhjqI6PrOGWZgObAq2pkDJ1YLkfBMnFIMmXOovP8WCqJLIrkTQPdsqj3+otj8i24xwZ6p/jJXx0omc4LRXf2xuYwTz+/hYceX4vLdWsneV6fk8c+s5HGlnJ+8Gf7OHqob1lBkWVa/PHvv0fnqlqqavxsraxla+ULt6DFpUMUBLoqynl+/Wr+9OAR0gWdd7t7qfB4+OLGtZR73HdEPvdWIux3c8+aJpqrQwC01Zbx+z/9lLP9E2xpryPgdbJz9WX1O1WRefdIN1s667h/fcuiIgo3QiZXYCqexq2phK9gpeiGyXgkiSpLhHyuuXOblkU0mSWZKVK1RFFAlSX8Hid+92XmiG3b6IZJJJkllc1j2zaaIhPwOPG6tHnPcDyVJZUrEHA70U2TWCpLQTeRJZGKoAe3Y+m1oldieQEGMJVN81rPBcbTScakFN4hlUcb2xhMxnl3oJfpbJpILotHUWkPllHl9uBViw99hdtNyOFEEgRag0Hcqsq3Nm7jvxz+hL5YhE2VNXyucw1/cvIIIuB3OPnbm3fQEQrTGgjxRyeO4HdorA1XoK0QV+xqiKJAU0s5n/3ctmUNiAD3P7yaA/u6iUXTN0XpEASBzjU1PPT42mVTOqprg2y7p403Xjm+5CI1XTeJTCdJxDPzDOIG+qfw+pxUVPo5cWyAyHRq3mc0NhLFMpd+vbpucur4IO+/fRqzhOMuwR908dRnN/NrX9+Fs4Si6ZuF5lD4+m89gNfr5C//9ONl0bqSiSyffnyBrjU1rFlff922//QP36OQ1/n1//0Z2tY3LJo5UFdAHvj+h1dz8JOLRGZSVFb52XlvB/c92EVl9Y2zLLcaoiTS1FrBb//tR/iD77zNof09JWXlrsTxIwNs3dF6VwQYhmFx9GBvyccJAqxaW8sLX9pBS3vVXVNTEizz8OCja3nw0bWMDM3w6UfdnD09zM7dHcs6XyQ/wTuTL9OTOoMsykjC4v3+rrJH71iAEQy4OH5ikGDQzdh4HO8NJL5LxUw2w896zpHVDRRJ4h9u3YUiSfzF2RNMplPY2FS7vXxtzUZ6YhF+3tfNialxvnv6GGvDFTzc2MqRiTE+HO4no+tE8zkeaWxlS2UNe0cGOTg2QtYoIIsSX161jrZgGb9/7ADlLjdZQyeSy/LPdtyHX13Z6wJIp/P85IcHGRuJlXysokh0rq7li1+9hx33tt+2PkqSRFavq+cb39qD06my76PzywoyxkaivPLjQ3zz2w8uqv51LRR0g3SmgKrKuK9Di83ldSLxDOGgB/Uq9S/btsnmdFzXOL7c4+aZNV1MplK8ef4ikUyWPz98jPFkks+s7qIpFMDn0HAqCrIo3vHxYaURDngIeJ1k8zqF69Rd3AzODEzwnR99zPZVjfzOc5frtqZiKf7NX7xLfUWAbz65jcpQMXPZMzLNSx+cpHt4mmQmhyxJ+D0Onty5imd3F+WjbRvyusHR7hF+uvc0/eNRdMMk5HWxa20TT+7ooiLomfu+3j/Ww4fHe3lgYwsziSyfnulnJp5BkSX+wRcfYFNbzbKCp2XNzkVBoM7r53/fef+C19Y5HKwrr1ywvTkQmvv7ufbVc3//sx2Xz/GPt19O9zzU2MJDjS3zzlHmlPnWxpUtbr0W3B4Hex5ZS6hs+Sm68gof6zY10tM9cVNO3L6Ak81bm+norF72OQDue3AVb712oqRJfCKeJRpJzwswRoYjVFYFqKj08/brJ0glcwSu4N4n4tlFVxcXg23bjI0U3cOXM7j4fE6e/+J2nvvCdlzuO6Mi8+znt5HPG3zvTz5aVmH6uTMjHDvUT1NLxXV9R4a6x9n99CYeeH4b2gpKQl6NxqYwT3x2I263gy3bm3F77i7nVkEQqKsP8eXfuJdYpKiYthycOj5EKpUrWS74VsA0TU4eHyr5OJ/fxQOPrKFjVfVdE1xcjdr6Ml74cgjsHcterLmQOslYbpDNwd2s8m3GKXkWzYi75eWZWK4EnntmM3/54n5kuegZ8blnr183UipM2+bX12ymwefnd976KRdjETRJYu/wAP/HrgeJ5bP84OxJRlNJNlVUo5smCAK/d8+euXPsaWhmJJUga+h8a0NxLB1PJ9k/OkRrsIwN5VV8/9wJzkWmqfMW60kCmoPfXLcFl3JrAnHLstj/8QWOHOwjV6JRqCyLdK6u4avfvJctO1bO3K8UNLdV8rmv7CRfMDiwt3tZ1M03XjnGY09voLF56VSVeCpH98AUlWVeWuuvTXcbnYrzo7eO8fVntlMZnl+jZBgWe4/28uiurkWPtW2buoCPL2xcRyKX572LfSRyeX504gwf9Qywqa6a9TWVNAWD+J0OlFkV0OU85R5NozUcuvGOtwGXir4HJqJkcgUqgl7cK7B4d7OwbJv/9doBBsdjfH7PemrDfpLZPN3DU7jUy8+naVmcH5zi93/6CWU+F19/dAsOTeZI9wiv7T9L3jD4+mNbcF3haxJNZnnt03O014Z5dvda3A6VvvEIdeV+5GXSze9et6llIKnH0a08XiWAIt7czRAMudl57/JW267E5q3NvP/W6ZsKMBqby9m6s3XJhcDXwqq1dThdKqnk0qllyWSOWDQzb9v9D14OENs6qti8vYWWtstB5b/5Fy8veSUml9U5cXSQA/tKp0ZpDoVHnlrP089tuWPBBQACPPuFbQz1T/PW6ydKljEs5A0O7LvI2g31bNjSdM3JruZQEVfIwOpGeOqzN3Zxv5MQJZHmtgqefmELo/81uqw6mLGRCDPTSWrqQkjSnZud27ZddPvtL92Y7VINxEoVc98qXPJBWS6SeoxyrYqNgV1UO69t0Hcn0dJUzu/+08+QSuVwux03db2LoVjgXZy8BTQHKb1ARheYzqZ5peccAJ2hMNosbcXmkpeDfVWfYs/6zRS3F7MZWfaPDjKUiOFRVIKacy6AawmEUG5hQfj0VJK3Xj/BzFSypONEUaC+MczzX9x+x4KLS2htr+KpZzczPZlYFs3xkjT73/nHT84b57M5neGJGA5VJpXN43aq1FUGyOUNkukc4YB7Hq1mJpYmmsiQLxgUdJPKMi+GaWGYFv2jEaZjaRRZorU+TK5g0Ds0zUtvHaO+KoCqyjTXls27V6ZSafb2DdIXiZLKF1AlqRi4AlPpNG+ev8ib54tjtybLOGUZVV6eWt22hlr+47NPlXzc1bDm7BCWhivDoWgyw9HuEfrHI4xMxdl/doDaMh+b22uvmyW6XbAsi4lIkroKP5s76mioDCAKAo9unT9XTWfzfHC8B90w+Z3ndtNWWwxAO+rLyWQLHOse5b51zaxuqpo7ZjqeYlNHHb/28EbqygMAPMDNPVd396hUIgYz3Uzlx9gYuIeAuvwCNkWRaOuoorL65uXYWtorKQt7GB6cWRZNyuFQaG6toLGl4qbb4nJrNDSFOXNy+MY7zyKVzBGPZa75+j33dy6QnNyyvWVJHH3bthkbjfLxe2dLTi0LQjF4e/bz2/D5F+ri304IgoCmyXzlG/dy/uwIA32lTxQvXhjj7OkR2rtqcHsWD5a2P7aW0/t76D09TENHNQ63dksK2X9R4HSqrNtQz5YdLbz/1umSj7dtGOidpmt1LdIdHjwy6QLRSOl1PA1NYaqukLm8FvJmgaxZwC07kIWlTQAuBco32jdvFlVvLNtGQEASFqdK2LZNwdKJFJJUOIJIgjj3HrptUjALeJTFKaDSHC3qzqdpktl8UWnmqmfv2IlBNm9sxOdzkS/onL8wzoZ19Sv2vmm9wOnpKYaTCZKFAo1eP5oss6myhj0NLYiAOitTCaBJEoZlcWB8mCq3l0ZfAAFwygpDyQSHJkZo9AUpd7lZE67Eo6i0+INYtk1HKIxzln58Kz9xy7LZ9+EF+nunSlaN8gdcPPLkenY/sPjq++2EKAqs21jPg4+uYWIsXnIdiW3DR++d5QtfvYeausur+FPRJH/xykE6myvJ5XWqyn1Ul/tJpHN8eqyfwfEoD+/sYNvaRmzbZt+xXoYnYtiWzfHzIzzz4DqaasuIJXMcPTsECAyORfkHv/Eghm5y+MwQI5NxPj3ej9/rpKm2bN73fWx0jH/2yhtLuoa8YZA3li/fHs0sbxG2YOlM5SNEC3GyZh7d0iklwAipAXwU54v941G+9/YRDNNiJpFha0cd33hyG6saF7Jy7gRkSWLHqkbePdrNi+8dY/uqBuorAtRXBNCuWGTK5HVO9Y5hWzA4EWVoMgYU6XLZgkEkkWEimmJ10+VzC4LI+pYaqkIrlwW+owHGdH6clJGgYOUwLJ1KRz1BNcxUfoyEHkFAwK+WUa5Vo1s6k/kRMkYSSVAIqeUE1DKyZpqp/BgFM8d0fhzLvnmenKrKrNu0MqtkDqdKY3M5586MLos+Eyrz0LmqZoFz6nIgCNDSVllSgJHJ5Eklr/3g1852hle6/T78xLol0TVyOZ3zZ0Y5faJ0akh1bZBnv7CN8opbX9C9FAiCQHmVj+d/bQff+fevY5RYF2AYFieODsz5dSyG2pZK3viLvfzZv/4pGx9YRbDCt6AOwxdys3nP6kWP/+uIisqiHOXBT3tIl5CZu4SBvikKuonjDsaotl10+C1V81+WRYIhT3G1/DpI6hn602MYtkWTu4qA4iGpZ1DFYkpdFWUM20QUBAzLnBPlyJkFkkaGckcARZCxsZEEEcu2EAURUShOsAcz44S1AFmzgIhAmeajYBqzzroKSSODJqpookLGzHMoco6HKrfglDRSRpaZfBxREJjOx1jla0ISJDRpPh2nztnCVG6U/swFXJIHt+xFEuQ78ux/emGQzS01lHnnL6x8/6UDbNrQgCgKZDIFXnn92IoFGD5V46GGFkZScc7M5HisqY1arx9ZFHm+fTX7R4cQBQhoTlaXVSCIIjUeH1uqavh0dIiNFdXFAEMQWFdeRSyfY//oME5JYW15JQ/WN/PJ6BCfjhX74kq3B79WpDuXOV23TJZ0ejLBoU8ulhxcq5rMhs1NPPb0hpvO7K8UHA6VrTvbOHNyhI/fP1vygmImnefdN07xtd+aTz1XFImu5ko2rbqs/lMV9rFrUzPC8cvfi23bxJPFrEZTTRmmZdPVXIkoCliWxZP3raGhOsj/9zuvMjaVYG1bNS88vJ4PDnbzjed3Lt6oO6OQu2SkjAwnYuf4dOYoF1L9RAtxDLu0IGd7aD1fDxdlZVtqyvj8A+uxbJtXPzmD3+PA73HekYW8a40Hv/bQBjxOlQPnhjh+8VOqy3zct76Ze9e3EPYX+yTDtIimskQSGf78rSMLztFWF16QkVFlEbdTQV7Bwv07FmDYtsXR6F4kQUK3dc4mjvBk9ZdRRIWDkffmCvWM9Bl2h58gpcc5HPkQt+zDtA3cspeNgV2M5gY4Ez+ETwkxk5/AJd+8rJmiynStWZ6U4mJoaq3A6VSXF2CEPbTdZO3FlaitL43jmMsWyKTz13w9Mp2k+/z4vEJ2p1Nh532dsxK2i8O2baYmEnz07lnyJZrWybLIQ4+vo7WjCnkFAq+VgixLbN/VTkv7US4soy7gwtkx+nomaWopX7SA++A7p3C6HUyNRnnre/sWPUfz2rpfqgBDUWUam8K0d1Zx7FB/ycePDkdWxLzvZpFdhmO9qsqomnxDKc7TiT4Kpk6zpwZJEBnOThErpChYOqoo0+ltYDg7hU9xMZKdRqBIM7Cx6UuPsTu8DhGRvKWjiBKmbVGm+tFmB93e1BgzhQSRQpIqRwjDNojpadJGli5vA0PZKZJ6mp1la3BKGpIgolsmmmgxlp3mcPQ8ze5qJnIRJEHCIWm0e+uQhMuDukvykLMyfDrzNhO5IcJqFaqocfVKxgb/PfSNJ0hm86RzBUzbZl1DFT6nxsnBcbxOjVg6i1NVWdtQSa5gMDAVJZLK4FAVGsIBKvweRiMJhmdi5HQTr1OltbIMWZLon4rw04NnSObyVAe9bGyqwaEUAx1FksjnDRwOhULBWNHgp9br44tdi0ul76ptYFdtw4LtlW4Pv75m04LtnaHwAonalkCIlsDCseHznaUrKC4Vtm1zYN9F+nsnSxIFEYTiwsKTz266q3xsoDi+btzSxJmTQ0yXSPkyTYuP3z/Hs1/Yhtd3ecXDocpUlt14VVkURYJ+JwMjEUzTZsvqeirLvExFU4SDHjS1eJ+6HMplozihmEVaSKMrQhJF3Ortye465NJqfEzL5FDkJC8Nv85YbrKkWEhExKu48Ste6pyX51d+t4M1zVVUl3mJp4s1CQfODhL2u3GWoIpZCi4prF5NZ8zrBoa5cGwK+dx8/fGt7NnUxpELwxw8N8Tv//QTIokMv/l00VNAFAScqkpjlYN/+MUHFny3miJRHpg/VxbElVeHu3MBBpAzM1Q66nDJHtJGglpnE6PZfjJmmieqv4RpGfxs9LsMZS6SNdNokoOHKp9lIjfM4chHjGb7mSlMEFTLuS/8FEeiHzGVH7vptrnc2rw05c1iuVKYoiRSFvbOc/q8WVTVlKapnc8Zc2ZCi01kPt3bzfkzo5w5OUxdQ4h4LIPTpbJpW8t1AwxdN+nvmeTU8cGSr6GxpZzt97TN64TvBghCUdL10SfXLyvASCaynD8zysatTVRULqTn3fPEBjbe23ndc/hCt0c3/G5CeaWPzlU1ywowZqZTy1ahWjnY6Hrp1ALLtrGXsEo6nJnkgfJNhDU/giDwzsRh1vlbOJPow7Ztmj019KZGqXOV050cpsFVwVQ+RqUjhCrIuCQHKSPDRG6GSCFJuRagXAtc0XqbhJ4hoacp1wKciPVgA5O5CB7ZSayQZO/0SXaWrZnXLkEQkEUJSZDwKi4m8lHSZpaZQoIGVwUu+XJmZjw3RNZIY9kG3clTdHNq0Wvt8Kzn+x8fZ1VdBdOJNB+e7eNff/VJBAFe3HeCTc01SKKI3+WgoybMxfFpPj7bj8/lIJ7JMh5N8tC6NuKZHANTMdL5AkMzMZ7ZsprmihATsRRTiRTDM3F0w2RNfSWOWWpCS3OYn791Er/fRSSSpqG+rOTv9JcJ8ViGY4f7SpJOh6Jc9YbNjazdsDCoutOQJJG1G+pp7agqOcCwbRgbjXL6xNC8+k+B+TQ127aZjKQ4eWGUgZEIhmFSHvRQFfaRyxuoqkx5yINumCTTOUzLRrxGCZQkifi8Dt470E1ZwM2GzvnGdo2hAN/Yfnvq8RqCpVHSJ/MRPpw+wHhuChuo0MqodVbhkV1IgsTemcMYls6GwGq8spu8VWA6H2EoM4YiKmwOrmVbcB11rmq4itHmUBV2rm7kaPcoH53oY1VjJasaK25JxlSRRTRVJpMvkMnpc5mFkek48fT8rPylrIYgMEeNemBjK//kv/+MVz45OxdgOFSZlpoQ3cPTeF0ajZXBRc9zq3HHAgxREPHIPuJGBAuLjYFdOEQnpm0iC3LxYRBAFGQMS8eyrTlpQoFipGVYOrZtF82VBBAFaS5tv+x2iQLVNQGcK8jJrqj0L8v4yuVSqa4NrqiMZvg6rtyLwTQtcjkd0zARF7mG82dG2XlvO6Io8NSzm8nldD545/QNH8RkIlvUDi9RNUQUBXbd30V1bXDFTZRWAooqs35zI8EyD9Fl+J9cODfK9GRy0QBjx+Pr5/62raXqdP31h9frpL6xDM0hk8+VNlGPRlLLdgxeOQglyVNeQqFQDP4N3bxuJq/eVUF3apiZQpwaZxhVlClYOoogI4oi5xODRPUkdZTjkFSa3NUULAMRAQSBvKVTrgUZz0WYKSRodFWiiJf7AlEQ6PTWEy0kkQQJWZCI6klcsoPhzBRpI0ve1LGxietppvNxxnPTeOU6PLITSRDJmgU8spNGVxXDmSmMq6iu9a4WHNKNFxQ00UUyV6DM68Ln0khkc7RUhphKpFAkkfbqcra1FakmiWyOcyNTjEQSdNSUk8zmGZyOEUtncagy1SEfAnC8f4yZZIYNTdXcv7qZVw6d5fGNHXTWzFf8eeLRdbzz/lli8SwOh8JDD6wq4dv85cOFs6MMDc6UXnsRdPHwE+uWRBtOp3LFVfvbKAJSUx+ipb2S40cGyJWYmTR0k4Of9MwFGF63g82r63Ff5X2Vy+uYlk1tlR+nppDOFhibihed22WJWDJLz+AU2bzOqtYqtqxumJOi3ba2kYqQB0Eo+jg899B6JmeSSIuMp23hMv7e/fcs85NYPnTLxLJtNKnYz2QNHUEAxxXUyQupPiZy01jYNLpqeaRyF2v9nQQVH5IocSx+hkTB5KnqPXR4msiYOYYyY3w6c5Rj8bOICNS5qqh1VjKaji9oQ3N1iF1rGnnxveN8emaA2nIffvfKL2qW+d3UlPm4MDjFxyf7aK4OEU/n+PhkH9Px+ZFPPJ3laPcIXpeG3+1AEkUiyQy6YRHyXm6bx6lx3/oWzg9O8oN3jvLw1g78bge6YTITz+BxqqxuqlogW7zSuGMBhmkb5O08kiAiCzKRwhRlagXVjgbOJ49xNLoXCwtZkKhztZI2EoxmBzgS+YiMmcYpuahxNmIDF9OnOBbdy1huCOkmnVwlSSyZRnQjBEOeZRmTudwaNbUr6+IZCJaeUtYLJoWCsbhjs1BUc5IkEcMw6eiq5s/+8IPrrshalk1kOsXRg30lt6Wiys+a9fV4fSuvxb4SEEWBYMjNuo0NfPjOmZKPHxqYYWI8Rseq6gWTTkM3OXOgh8Hzo6Ti2UXVqsLVAR798q4F2+9GpLLvoikdKHLdjXe+DqTZWoSysI/R4UhpbUjm0HXjmhSB2wEB8HhKv58t02ZyolhQGq7wXXO/Nf4Wzib6yZp5TNtiQ6CdqXyMWlc5IdVHpJCg3lVBmeoHD7hkB3WuchRBBkFAt4w5ulK55qfCMb9/bHbX4FPcKKKCKAhUaAHGc8XvQZot/varnrlrbXBXISJiAy7JQbO7GlVUCLqq8Cpuapz2XH3IJdQ4m6hxNi3pcwl7XYxFk5R5nbyw8zLFR5EkKv2XM3y2DYZlkdN1Etk8lQEPVQEvumly4OIQqWyB6qCXdD6PYZlz7TdnqQxX3zO1NUG+9qVdZLJ5nA71rlwAuVtgGCanjg8xOb5wYnc9yLJEW0c1HUt0g794ZhRFlVm98fZlO1RVprW9ksoqX8mCH4ZhcvrkEJl0HpdbI+hzsWf7fIUgQRBorAnRWDP/OewZnCKfN3A7VQJeJ0G/C6emEA54aKy+vO8j91wuildkiYd3Xj8rficwkIrQl5xhW3mxeP3wzBBhzc3GsstjxUh2nKSeRhYkHq3czZ7ynTivyHqqgoIgMJsh9eBVPJRrIWqcFeStAp/OHMMlO/lC3eLKVbIkzWYxRvjoeC9rmqrY2lWHtMKKauV+D/eub+GlD07w0ocnCHmLc7TygJtyv3seCzST03n3cDfxTB5NkVBlmWxex+1Q+dwDlymUqiKzpbOOsZnVfHK6nz974xAOVQFsdMNia1c9nQ0VwF/TAGMyN4oqqDgkFwICvemzOCQnXd6NbArcy1R+FBGJjcHdBNUwbtnLKt8mYvoMXsVPtaMBv1qGIEhYmOStHLXOJnxKEIe0fF6mKApUriAlCcDhVHC5tdliq6WvO7tcKhVVpaUNI4kM+WtM7iuD3llPg9JSZLpuUiiYLGZf1dJagSSJNDSF+eDtM3zy4XmcbvW6RVGFvE73+THGRmNLb8Qs1q6vp6omsOIuuSsJh0NZdoCRSecZ6J1i09bmed4iACf2nufF//wGiWgKVVPoPj5Iy5o68tkCU6NRQhV+Hv3y7V9tWi5S2dcRBcdNBxhQdHIvK/eUHGBYlk0+b2DbC+j8tw8CBEJuJEko2Wiy58IEgwMz1w0wPLKTbaFVWLPF2wHFQ40zjCjM8n6pmcv8ljsCc8cA1DjD2EDKyCILEq2eWvzK/Puy3Vv8/q5cCqlwXP7PZpbmIQhUOILzXvOKLjYHO7Cx59pw9fkBClaxDkwRrm+kqRsmmbyObpgUDItzw1NUB2Y/G2H+d+zSFFbVVhBP5yiqFIt4HRpOVSGVzZPJF7OrHoeGeklRSRCoDnj56Ew/PeMR9qxtwT2rJX/sxCDnuyfI53VEQaC2JshDe36VxVgMk+NxersnSKeuXd+3GBxOhR272+cxApLxDOdODhOdTiErEk1tFdQ0lDHYO8V7r51AkkXGhyN0ra+nuj7EYM8kfd0T5HM6FdV+utY3kEnnOHdiCNOwSKfy1NSHWL+tedmLDg1N5VRUBUoOMGwbZqaS9PVMsmZ9aQIBNRUB1rRVMxVNYVoWbQ3lrG6rxnkXGImWCgGBwVSUsUwCadZJvsY5fy4U15PkrQJBNUC7twmHND9LpcwuUuTNy/eYKIhUaGXsKd/BsdhZjsfOsjW4lkZXI/dvaCWTLxD0XM4E1IT9PHffOs4PThJYZBGotTbMrz++lZbq0LIXFFRFYvuqenxujYvD0+R1g5DPzYbWaja01eDS1DnaVMjn5Kl7VjE4ESOVzSMKAh6XRkddOWtbLkvOCkKxnuS5+9bSXl9O31iETK6AqkiU+dx0NZTPy150NVTwxQc30lazsrTOOxZgGLZOwcqjSg5M20QTnTglVzE6d7fT6G6ft78qarR7Fxa5+ZQAa/0rZ74niiKVi9BTbhZenxNRErGspReUOpzqdScOi+HohWFGpuJk8zqZXAGf21HUz3Zo/PqTW5EVCVUrjUqi68Y1MxI77u1AUSSqqgPs39tNZCbFU5/dfN2UdDqV59ih/pL9ImRZZNXaOkKhO+PUu1QoqkxLWyWKIi3LdGmgb4pEPLsgwHjnxf1k0zme+9ZDhCoD/Jtv/SGf+51HkTWJ7mODnDvcx6ptLdc468rAsvMkMz/B6/wMmfxHiIIHVWknVziOU91CpnAQw5xEEn041PWocjO5wmkMcwRsG8OaxqluRlUur8qZZpRM/iM0dQOKVIewjCyk06ni9y9vYUEvGFyeBt9+CIKAy6VSVu5lcjxR0rED/dOcODpAS1vFgvvlalxJH710pYIgLGpYx7zXZyfWzjBe2bWkSdeV+9xo7xu1AaA3dZap/Chdvk2Ua9cWvTg1NEGl301FwIMA7O8eor4sQFddOY+ub8fvujxJUCSJ9upisfNELAkIKLJEwO1gR3sDQzNxnIrM4xs76ZjdTxAEPrN1FQOTURRZmtfqN94+RUtzBUePD7J+TR0nTg39KsC4Bi6eH2d8LFbycV6vk01bm+ZtmxiNsfedM7R2VeN0q4hSUSZZFAVM00IUBZRZMYRENMPBjy+gKDLegJPD+y7i8jiwbZu3fnKU+x9fh6JKvPmTIzS1V+K/wTN1LVRW+Smv8JW8qAjF/ujc6ZGSAwynQ2Hz6pWTRb6TqHcHqPMEeKnvGJok82Tdatr98ymJBVPHtE0CihdVXLjwcCngSBvzZfZlUabKUU61o4Kp/Aznk32srevk/g0Lx05RFNjWVc+2rsU/19aaMlpXYFLucWps7axna+f892m4qnbCoSrcs6aJe+aXsy0KQRDwODV2rGpgx6rrZ/A6GypmMxori1seYOTzexHQULX5rqYVWi0Z5wXShW4UZS0d3vXUOpsxC0fJFo4gK11o2v0IgoBt58jn92EY/ajqJlR1oTLGSkEQBULhlXeDdbs1JFGgFIa4w6EQLHEyXR0ucjLfOdhNW12YmnI/mXyBfSf6isVeFOX0SgkwTNO6ZiFsVXVg7u8nPrsJQzfJZQvXzGDYtk06nefMqaVL5V5CuNy37IL52wlRFAmG3JSVexlfRpZmdDi6qBniwPlRtuxZzQPPb0OSRZweB63r66lrq6RjQyPxmSTHPjrPhhsUgt8UbJ107l1c2r2ksj9HEisRRT+Z3McIKOTyR3Co69DNMTK5vUiuIAWjm1z+KA51A5IYRBAcFNeoRExrhlT29dnp/fJ9DlRNWTbPujCbwbiTECWR1vaqkgOMXLbA3vfO0tAYZtcD11duuxl4ZOdcVuNOYCDTzWi2nyb39e9ty7JI5gpk8gVsGzwOFZ9Lw6Wp3LuqecH+XqfG5pbaBdvXNlSxtqFqwXaANfWVrKlfqIsfjab5zO9sYHQsyjNPb+T7f3VgiVf3ywXbtunrnSy5CFqSRBqbw5RftQDo8TqobwrPjVFenxPNodDSWU1Dazluj4P7Hi1S5c6fHCadynP/Y+00tVcyPZ5gsGeSytogkiSydVc7Xr+TAx+eZ3RwZtkBRnFx0IvTpZacpdENk76Lk8t6378u6E3O0J+c4ZHaTgQEhtIxTkfH5lGkLnl3Xqsa0SM5AYGovpCGp4gKYS3AYGaUydzMLbqKX+GWBxh64SSC6FkQYGiSgzbvViyrGVlqRBCLg5dhBTCtCWy9gKZd0oMWEQQXpjmIrrtvaYBR5NCvvPSd5lAQSkihCYKA06UumDTZtk02nScVz2LNSpj5Qh5cs+m71U3FgW/fiT52rW+moTKADXx4tOdyW0qsB7Ete0mrMKoqo6oyr/7kCE9+dtOivHLDsBgdjjA9VdpECqChuZxgyHNX+F5cD4JQ1GmvqQ0uK8CYGIuRSGQXKHcJCLh9ztnrF/D4nUyNRKhvr8ITdNPYWcOhd0s3nCsNEorUQMHoBmxsO4thjiOJfnRzEEWuw+t6mkz+ANn8pxhmUdVNkkI4te3z6FA2FsnMz5ClSgKe30SWqhGWKdIgy+KyhBSgqBl+pyMMWRJZu6GBTz66UPKxQ4Mz/PSlg6iazJbtLThdd95xdqVh2SZOyY0mXr9Wpau2nJxuFKcctk1bVRlNFStbx3YtlJV55lzZ3/vwHMnU8ozDbidOxXvoSZW+2KPMygmHtQB1rgpC6tKz/vFYhrHhKNlMaRNvWZFYvb5+ARWlrNLProdXM9I/Te+FcdLJHE+8sLU4+TRtLNOaq5eRFQnTtObGs0LBKGY8KGbqLdvCxkYvGDclgS4IUBb24vE6Sw4wDN1ioH8Kw7CQ5buXCnwr4ZAUVgeq2RCqxcbmRGQUWZz/fbgkJ7IoEyskZs315iOkFp/7wcy1lEUFDNsga979z+kvKm4bRcqyYuTzHyFJ1SjKOgyjm3x+H6LoR5KqECgGGLLSjiy3Y1mXo0pBUFGULnS9dE57qRAEAX9g5Sk4qro099xLUBQJr2+hwUvvmREOvnuWXDqPNNv53PP4OtquMnQqD3p4Ze8pKkM+oskMbqc2xz8uteO0rgowEonsdQeHowd7efjxdbCIYmo+p3P29EhJuueXUN9Ydtfpnl8LiiJTeUV2pxRkMgVmJpMUCsa8FenyuiBj/VOYpokki9Q0l/PJ68dZe087hm4yNRpdodZfG4IgoSodpHPvo8qd2HaOXOEomrIW04pg27Odta1j2yZQbL8oeBCEq787C01di2XFyRsXkKXKRfZZGkRJnHseSoZ95xW5JFliw+ZGNE0u2RfGsmzOnxnle3/yEVMTCR54eDXBMvddH4iXgpBaQVyPkDUz193P7dDY3dV0exp1FT779CZUReahB1YxMDTNIw/e/X40x2MX+PnY4p4614MkiCiijEd2UaEFWR9oZ3d4IwH1xtn/4cEZJifiyzCWlOhaMz/bZNs2k6NRPvj5SQRBIBHPELgk1S1AWaWP00cG+OEff8z2Bzqprg9RUeVn3ztnOPDhebLpPC0dVRQKBqZh8eZPjqDnDIJhL7UNN0d9CZV58Hg0Jko8zrZt4rEMkelkyTWYtxuGaTGVTtMfiTKRTJEuFMgUdCzbxqHIOBUFv8NBfcBPUyiAU1GW1C/VuQP4VAcjmRimbdHhryCgzs+ghtQATslBTE8QLSQwLHNeEFLrqkQAupP9JPUUXuXyhES3dGYKsdl8+V+ffvJuw60PMAQRy4qSy72NbRdQlHWAhCiGEdAwjJ7ZSUngljdlKVAU6ZasAEqzvNClQlbERTMAo/3TGLrBlgdXIRUrEymrCizY75FtnZztnyCRyVEZ8nLfhhYUWcLQzZJVEIoBxmWK1HtvnuTEkYFrygT2XZzEuob0YD5fdO9eDqpqAni8d6d61NUouiwvP1CdmU6Sz+nzAoz1uzs5+PYpLNNCEAXueXIjf/x/v0wylkYURfrOjLDzCinbWwMZTe4glvpfVAT+NbrRSyLzMn7P1zGMUZLZV5mO/wdsu4CmdKFINeT1xT0LQMSpbkEUvSQzP0USvDi0rYhC6c+fIPALrdojCFBZHWDN+gaOHOwt+XjTtLh4YZxEPMuFc6PseXQt6zc2/LXJZrR71xHVp7iQPIFDchHWqm5aMXClkc8b2NisX1tHU2MY7y9AX5UxckQKpSk5XY2LyUHOJwcYykzwubqHKXdcP2M0MhQpmR4FxTGxqaV8wXav38XqTY3FzLEqUznr9SQIAht3tFBZE8CybHwBFy63xs49XUyOxSgUTHx+J7WNZQz0TBEIeWjrqkEQBIJhD86blLb1eB04nMujLOoFk8mJ+F0bYEyl0uwfGOLg0AjDsTiRTJZUvkDBNCjMZoxkUUSRJByKTMDhIOR20VUR5oHWZtZWVVxXqGUql+LD8W5GMwkEAQKqiweq2mj2Xg766l3VeGU3cT1JT2qATm8LXvHymNvlbUFAYKYQ47XxD3i+9jFUUSFn5jmTuMhIdhxFVPApK0+J/xWKuPUBhm2Sz72PrHTicr6AJDUgCCKSVIUsN2MV7i7+m8t1fQWk5eJSGnapkGUJl2dhBydKIpX1ZazZ+v9n76/D60rT/Fz4fhdsZhAzW2Z2GcrFjM0M0zPTnfRMBs7MmSRzzvmSTL7MSTKQZJKBDPY0U1VTdXGVXWUoM6NkMcOWtBkWnD+2LFuWZEuyDNVd93X5svbeizastd7nfZ7n96tGus5xloa95DSd4fE4dWUhHDYL0mSAIxb6/kyTq6d4x8eS1NQV0rRidvWfgb6JOcvBshmNzvbhhe0fcLps+ANOVMvdNaiYC1mW8HgXX7M+Pp4gm50+k73tybXUr67EarcihGDDg8vpbh3g6NvnUK0Ka3cu4+FP3GoVKYFFrSXk/bdY1UZUpQRFKUORwsiqB0k40M0okrChyCVIkgO7ZTMmWWRpekrL5/oCqlyMJPnAoSDLfsQtls27W7nc6P3wE6s4fqR9wY2hAJh5dZ533z7HpYsDLF9Vzr0PNNO8qgzrLXKhvV2MZgYYzQwxkO7iQuwEbsWLIllmTD4+V/J5nMrChDGWitPnenlz91mWNZawcV0V6iK8TW4394bXUumcu2l+dkwyeo6xXJT2eC+no5cYzoyxe+gIdtnGpyofm+aTci1DgxNMjF8/E3Utl0uOPNeYqwoh8PgcrNk0u7hFMOwhGJ7+ewgVegnNIuRisSo0LC/FtUQGrk6nFcsizztd1xdsQHg7iKYzvHOpnVfOt3BhaITBWJy0Nv+M66GuHt651MHqkiI+sW4VdaHZs0TdiTFG0gkeKW1CCMF7Qx20RIenBRg1znICFh89qQGOjZ9lR3gj7qsU6Kqd5ZTYC+lK9vLawLv0pQYpsAYZy05wIdZGSk8TsgSocs7swZoPb/e3MJiK0pUYo84T5uLEEE+WL2eZt5BXes9xYWIIiySzPlTBMm8hb/RdIJZLE9eyBKwODNPkkdImiux35np1O7gtJVIWyzqE5CGnnUNWKpHlmbMQdwNCcMsMecTljqR5IssSDseVY7l0pocDr59mpH+cseEYrae68fjzGsmbH1pB7TWD/b0n2zl0rot4KkNNyTa+9tJBPv/Epsljubn3smJVOYGQm+ra2VUH3n3r3KzGYYZhMDGWYDySmGWt6+MPOCcldt8fs9SyLOFchLfBZSbGk2SvKZUJlfgIlfimPgNv0M1zX36Q7U+vQwiBL+SeNZu1lAghEMKJ07YDAAk7ilww+ZoDq6VpxjqqMvsAxmZZftXfd385ya1GUWWWry5nxeoKTh7rXPR2shmNjrZhBvrHOX2im4amYrbd18TajTXYbMr75hy6molchKyRxqm40Q2dhB5D6NKMa5lh3jnTxJ3bGxkZidHVM8r3XzxMwO/k4x/edMeOZz7Uusqpdi18gKWbBlk9R1SL0xLr5gfdb9CV7Ofo2Dk2BJax3Fs763rpVJbIaHzBBnRCEpSU+q87qXYzlFYEeO4zW7EtYcbPZlfnZQY4G7puEFmEUeutpDMyzvdPnObV8y30TUTJGQs/18ZTacZTA7SOjHJhaIRPrFvF4031M7IZaT2HRVZo9ufvHefGB0lr0/ssfBYvDe5qhjOjlDqKsEgqJuaUIp1NtvJE0U7+pu07jOei7B89hk2ykjNzZI0cspAodxSz2rs4pbeeRL4kWZVkuuNjlDi8HBjuQBaCPYOX+FTNRmK5NG/3XcQiyfQkxglYHWQNjXgug11RaZkY+iDAuDkEslKBzfoAydQLZDLvYLM9QDq9m0z6TXS9B8OI4XB+DFmuIJn8JpnMHkwjBQgcjo8DOonE35PLngJhBQzs9ieQpKVOH95ex8/rIcsSVtuVr8fpsVNeX0RZTQG5nI4k5RvWEPnG32s5fL6bzcsreWnvWUwTLvWNopsG8hLUGzavLEO+zuzcxz5zD85Zsi+aZtDbM7Yo52SP1459kenmO4EQYtFNxwDR8eSMDMa1A0MhCfxhD/7wL+4F6pcJIQSBoItnP7qRlvP9pBY4CLuWdCpHZ/sw/X1jnDnZTVllkC3bG9i2swmff35ys3cLje7VlDtmH7RejUOZpfHrNlFa7KMg5CYSidPdEyEavfubR/M164sbBNtlKx7VScjqRwD/s+W7jGTGORdtnzPAGIskmBhLLrj/QhKC8AIl2xeCw2Wj8iYmhGZDUeVFV0NomsHYPAKMsWwME5OA5dbeAy4Oj/AP7x3hrdY2xlMzFQ4XSiKb43B3L2OpFMlsjo+sWTFtZOK3OBhNJ/ib83uQhUQknWRncd20bchC4r7wZtb7V+BV3fjUmZ/BluBaelKD/HzgbXRTJzHZwyULmXpXFc+WPkTQ6lv0+yi0e3AoFhJalnp3mD1Dl7gwMUTY5mZloITxTJL9Q+20xUawygoVLj+qJGNXVGQhEc3N3suazub4xsuHWVVXyqbl8zOJNE2T3qEJ/vrFffzHr8xuHni7ueUBht3xIUBCkoI4HB8DBEK4sFrvQVWXAzkENiS5ACFs2GyPT6pHmQjhRJI8gInD8UlM+/OT2/Isuhn0egjBomsmlxpJmq6KEyry4Q24GBkYx9AMCsryzpzxiSQDXfkys3CJf6rRNZPJURryoqoyJmb+gr5EUv92x/TgIRZN0d0xQjqTo6QsQGGxb9YLq5bT6epYmPHQZdweOzbb+6eeXIiFN9NfTSqVnVMaeDZM0yQ2lqC7ZYDlm+tuvMIH3JWoqsyKVeU89vQaXvze0sicZjMafb1jDA5M0HphgFd+coz1m2vZfl8TdY3Fd85gcAG4VR9u1XenD+O6/PzVkxw53kl5iZ8PPbOOkuLbo151JxFCYJMs1LsrqHGV0Rrvpi81dwns6EhsweVRl/cTKnh/1crLsrTojItpmCQTN1afOhdtx8Bge2jNovYzH7rHxvn20ZO8eqGFRHZ6FiHocNBcFKY+FKTU58Vjs+KYbOTOaBrJbI6BWIzusQlO9A3QHrkiRKKbJq0jEb526Chuq4XHll3xRqrzhHm6YgUXo0MYpsmmcCV17pmVL4W2EIWEp7x6rsWpOHiu9GEaPTWcGj/PhBbDLtuocVaw0ttIkS08zR9ooahCmhQ8kJGEwDBNglYX+4c6ANBMg0g2ySpLKaPpJIqQkYWEImTyAruzR9qGYdLRP0Z54fyvISaQyuQ42zaw6Pez1NzyAEOWC676u3Da31c/njogZXZDE0WZqWF+K7iZWeelRJIF6lXHoqgyiipz6VQPr//gICs21bDzmXWc3N9Kx4V+bHYL9z23nqrGfEpxZV0x33rtCGfbB/jTb73NippiFFnGXERa83pcONfH97+5n2Qyg0WViYwmePpD67n3weYZdd+6bjA4ML6o/Zw63skf/eEP7prv50aYpkkyufgZ6FxWn9ZYfyN03aD9bC8v/vWbd3WAYZr54DcWTZGIZ0insqRSWdKpLOm0Ri6bI5vVyWU1slmNbFYnm82Ry+qTj7XJ164sk8vqpFIZRobvjpKCvHqWmFNyN5VrQ5F8KJJvxjJCCLx+B489vZbOjhGOHlx4w/dcXC67iIzG6e2JsPvNM1TVFrB9ZxMbttTe0KjvA66PacKnP7YFn9eB221731yrbhYhBDbZSoEtwLloO3Ft7gAiOpGa1ePnRmiazg+/c4A3Xj51M4d6W9F1Y1HN7JC/f1ybwb6ahJbixHgLP+/fS9bIcWKslR3h1QykRym1FzCRi9OVHOC+8Hp2DR/hvoL1tMS6OD5+kayhsdxTw8NFm5FvMLiOZzLsutTOT0+fmxZcVAd8PLeymW3VlYSdTmyqgkXJD54lKV+kZJgmhmmS1XWymk4im6V1eJRvHDnBvo4umFzm0kiEbx89ycqSIkq9+SyEXVEpc/pI63lFqjKHD6c6c4LxRsGBEAKv6maDfyXNnjp0U0dCwipbsEnWJcjizlx/VaCEwyOd/JvDP0YSEg2eAhq9BVyKjvzS6VX9clwBF4B6l9wUhBCz9jFomk7T2krcPie97cOkkxma11fT2z5M8qoL9861dVQXB1lVV0KB3019eQhVkchmlzbA2PX6GVasLmf9phpsNpW+3jG+88972bCldtYAI7LIxrVkIksyEVmKQ35fkM1qC2r0NfV8BmNiZHE3tKVE0/S81n3v2OS/cYYGJxiLxBkfS5JMZNA0HcMw8x4r5tX/52+uV/4xv78X0xR9DbqZxjCS5PRB7JYGTNMgo3WhSF7AxDCyyJITRfahGVE0fQxF9gESmj6GJFmRhYtoeh8g4bZuQJG9ZLQ+QKDKITJaN/HMMZzWVZPbnYkkSZRXBfn0F3eQiKcXrbp2PRLxDIl4hqGBKGdOdPO9b+5j7YZqtu5sYtny0rt2cDyS6edC7CT9qU5yZhaX7KXGtYw61wqs8p1Vbbr/3ibsdsv7Ws1ssZimiW4YCEBi7kFfPJ5eVOmfaUJkJL7o+8f7DcM0Z/TgXY1dtrLKV09ncgDDNHi0aAtOxU5nop+klmIwPUpHoo9xXwMJLUVnop9j4xd4ongbHtXJ19pfos5dRq2z7LqD7EsjEX586jzRTP47k4VgZ101X9q8nmWFYRzqjX/vdjU/DgiZDkq8HpqLCnjp7AX+2+595AwD3TQ5NzTMCyfP8ps7tuT3Gx3mhx0nGEhFkYWEx2LjuYpVrAyULPSjRAiBKhS80tJmwJ6tWIUiSVOBlCrJ1HvDeFQbv9KwhZSWQwiBU7Fgl1U+WbseqySz2iyd6hO5HrIkOHy2i/dOdTAYiXH/+noevacJj9PG/lMd/GjXScbjaVRZ4qMPr2HHmlqEyJdX/fNLBzl4touA28FHHlrDqroSItEkbx9uQZIEz9+XV5s8cr6bs20DbF5RScPd5OSdTmY5svs8u35yFIDqZcV85MsP0HlhgNe+d4Cx4SiBAg8PPL+BpnVVnHyvlX2vnCQyFMUbcPH057dTUV/E0XfOs+flk8TGk9QuL+XZX7l3RgnO7eJm6+aXkrzs5sznnW47pdUFCAFjQzES0TQl1WEsVmVaMG2zqtSXh6kuCSLLAllamEzufMmkc1TXFlBWEZyqIb/WN+MyhmEytogG719GtJzOpdPdZMfn93nlshqtJ7pu8VHNxDRNUqkcbS2DtFzop/VCP+2tQ4xF4miaga4bU/8buoFhGHfa025O0rk2xpKv4LFtwzRzjKd2YRhJktolLFIIRfJjmGncts2ksucwzDQmJpJQ0Y0EXvt2TKGT00eQhB0wiWeOk9X6SGltqHIYVfKTzJ7Gbmm47rHIskTT8lJ+7Tce4h//+m3OnOy+Je/5cjAYnUjS3zPOrtfPUFzqZ+u9jdyzo3HyvL4lu14QpmlycuI93hl+icF0L5KQkYREzshyaGwXje5VPFXyWTyK/471ljjvkv69O0FKz9CV7EeRFBzXcXxPxjOkbyKz+8uCaXLdDIYkJByyDYdsw8QkNNlHELYFGM8liOtpLJKFruQgAYuHSCaKT/VQYA3gVh0U2UJ0xPupdc6uBAmQyGY52T/I2cErruJbqsr5yj2bWFFciLLA8i8hBBZZptjj5qNrVqCbJn+2ay8AE6k0Bzq7+eiaFRS5XfQlozgUC/929SMIBD/vOUt7fHRRAcatwmOZOaFhV/LBlM/iwHdNwuVaH48bYUxOun384bUYpslf/XAv5UV+NjSVURr28uUPbcNpt9A3NMGffPMtdqypxTTzE7kFATf/5gsPc/B0J99+9SiVRQG8Thsep40TF3sZGY/j9zg41zFIOqtRGLg1PTyLGk2bpslQb4S3XjzMl/7tM7j9DhRFRrUoVDYW87nfewJMk1e/d4CWU900rq3k3JF2AoUenvvSTlweBzaHhbHhKPtePcXjn7qHovIgf/3vXqD1VA/NG6pviVTsfJgta3BnELOm/xxuG7t+fAQtp+Py2kklMpimyUj/OI1rK6eW+7sfv8dT25spCeVnSf/s27v4lx/etuQpupVrK+nrGaOkLIDbbePwgTZWrCqf5t9wGUM3Pggw5omum3z9P/8UbWL+9cpaTqO6ee4bxlJhGCaRkRhHD7Vz9GAbZ0/3EIum0TUdTTfQtbwO+vsN09Swq424rGsxzRzxzEkscghZ2AEJl3UtiexpMlo3hqnhtK4hnetACBmbWotFLgEEihTAooSRJQ+pXBs5fQiBSibXjde9Dc2IIXH9Xq98BlNi+cpyfuP3Hue7/7yX3W+evWWf6+XStUwmx8R4kkstg/zo+4doXlHGA4+uYPW6yptSRbtZOhIX2D/6Bi7FyyNVH6XYVoEkZDJ6mjPRw7wz/BL7Rl7j/oJnsclLIzP6AfMjqaU5PHaW7uQAXtVNmWPumdBEIkMqPdN1+QOuwTRvKIYiANM00CfdxwWCYluQc9EO7LKFJk8V52MdrPDUUGD1czbWTs7MBy09qUFW++qvu/2ReJKjPX1ok6W6RW43DzfUsaKkEGWBXlrTjlsIvDYbTzc3sbu1nSM9fZjAUDzOqb4BihrrsMgKAauTgDVfthmwOlClu2VsdnswgRW1xdSUhpBlQVnYS9dAhOU1RYxOJHhx1ymS6Sy6YdA3HJ3yHrPbLGxdVY3bYaWpmuOD6wABAABJREFUupAj57vp7I+wsq6E2rIQHf0RTrT0UV8eJhpPU1sWwnOLJkcWFWDoukF0LIndYaG4IoiQBKaZn7W+eKKTXT8+immYdLUMsPH+ZkwTHnh+A3tfPsk//PFPWbm5lh1PrWWwZ4yulgH+8Y9/itVuIZPOkYyluJNTnHdLelsIZvWSWLGplobVFWCaSIpELq1x5lAbzRuqqW4qmRqAJNPZ/KyxYWJg0tEfwTBM5CWe3Ttzspu3XzvNX//31xBCoOsGqiLxwncPgAmyIvHdl34XSRLkcjqx6MIb/H4ZMU2TVDzDvU+uYfmmWtQb6KlrWY0LRztoP9NzS44FIJvVObD3Im++kjdazOa0yczE+y+YmB2BJGwIVBDgsW4knj2BJCxoRoRI8udIwobbupaYfphI4mcokh+bWoOEFXHZ+E1ALHMMRQrhtCwnmp7AMFM4LM1Ekq+QzJ7Hrl4/gwH5G7GsCKprC/jKbz1CXWMRL3znwC2XrzQMk0w6RyadY8+uc7y39yIlZQHue2g5Ox9qprjEP5XVuF3Zgo7kRRShsiP8BDXOZQhEvvxAdrMt9AgpPc7Z6FG2hh75IMBYAIsNWPOaIQaD6Qg/63uXV/r3YWAStHpZ45v9t21MNi5nPggw5sUNvxsBZY5CXh3Yzx+d+XueKtlOs6eGSHaCZe4qVnlreXf4GDtCa2nyVNOZGuQvW35A1sjR6KmkyVN53c2Pp1O0DF8RZakNBVhbWnxTwcXUoQuBz2Hj4cY6jvTkS0DHUmnODA7xcGMdpmnyRt8F3uy7gCQEE9k0IZuTt/ov8lzFKrYUVE3b3tWfVdrIMJIZJ67F0Uwdv+qhzFE8Y7mrj+VuRZbyPS2SEMiyhGlCLJHmz7+1m3/xkW2sqitmIp7mM/+/b0ytIwB1UuxHlvLXScM0EQLKC30UBdxc7BwiM5kha6wouGWfwaICDFmWcHpsJGIpxkaiuLx5ycNoJMGl071UNRaz85l1vPC3u6Z65L0BF49+Ygv3PbuOv/v//4TyukLK6wopqgjyzOd3UFpTgK4b2OyWW6Z1PR+u5y5525nlOx8bjjLYnVeNunyu1K8qz0uVCmjrG+V7bxzn3ROXePdEW77vQtPZ3FyZd/Be4uDtC79+H5/6wvbrLiNJAtOEZDJ715bH3I1IsmDtvU1se3LtDQOMXDaH3WVb0gDDnJxFi06kePnHR/nZi0cYiyQwrjFe/EXBaVnB5TcmUPHad+Kxb0fTRxhLvUXY9TEEEiARcD45OWt4+Xpx5WT12x/GRJ9a1qbWIjABefJ5wUKkQSVJ4A86+dAnNrN8VTnf/fo+jh1qI5vVbvn5ZBj5WvCOS0N8rW2YF797gA1bann8mbXUNxZjtSqIyZvYrSShxXAqbryKf1pmVwiBjEKJvYpDkV131Afj/cgbgwfYN3JyTjWb2TBNk6yRYyQ7wWBqFIP8DLrf4mFHeC3VcxiXXRZp+IB5csP4QrDe38RafyMAl618f7vhk3lVJQT/ceVXpnpiHi+6h8eK7oHJbMflIH0u8gpQVyYzSjwuqoJLp4xmVxTWll7xSMrkNEYT+QnIek+Yry7bkQ8IBGBeCQQqnNOPwTRN0nqGw2OneHt4Pxei7WSNfBArhODe8EZ+o+5zU8un9DTtiR4kIeG3eCi0hu7KIEMAJ1v6WF2fd5dv6x1ly4oqhABN1/G57UiSxGsHLlwZ14m8ktS7x9rYsrKKlu4REqkslUV51VFFlqgtD9E3EmXX0VZW15VQcQu9sxYVYAghKCoPsuOptfz5738HWZaoXVHG81/aSajYx+vfP8jFk13ksjob7luWL5f6znsc3nUOIQnK6wopLAsQLPRy37Pr+dE/vkMimgITfuM/fZTALdS7vuF7u4vii9noON/H7p8czfczDEUxDJOPffUhApPOpLWlIf7N5x+i6GduHtncSFHQMyXhJoQgk1na2SO7w4JqkfM9F1ddEG02dVoGxjQNch/cXBbEmh1NVDQUo1iUG2bWZFnG6bVjmaU0bTFoOZ2xSJyXfnSMl350ZFHSku838jeZqz9ngUBClry4rRuRxNWf7dyOMkJIVwUeIK66zIrrNMDe6NgURWb5qnL+4N89x77d5/nR9w/R2TZMLnfrAw3I38gnxpO8+cop3n3rHKvXV/HU8+tpXlmG02VFlm9NnxeATbYzkh0gqScwTXPafgxTZyw7jE123JTk5C8j3clBDkfOYCxyxkAgUISM3+LhyZIdPFu6c87fgK4bi/JA+oC5yQfY0z/vqx/LV01kzKex+Go03SA5qRwlCYHDYplq2F4KJEnCZbViVWQymk5O14ml89K8QZuToO3GqnaGadCbGuTrnT/i5Pi5qRKwywhTTM9aCIjkJviL1q8RyYyzPrCS36n/FSzy3WFPcBmBoLzQRzyZ5S++9y4Do1Ee3bKMlXXFeF12nrl3Bf/5a2+CgIc21lNXnpfwtSgy9RVh2npH+cbLRwj5nXzm8Q34J73ShBDUlAY5cq6bZDpLU1XhLZ1UX3RHs91p5YHnN/DA8xumPb/t8VVse3zVjOWf/sIOnv7CjhnPr9vRyLodjZhmDswUCNcdjSbvwkB2Ghvub2bD/XnXY8MwePlb+2ctpXrsnmUEPA4kcfUgf+lHIRfP9nFgXwsjw7FpQcZXfvsRPN4rpQqmCdmcvuT7/0XmI7/xCHWrZpdtvhZZkahbVcFn/uDpm9rn5TKG9/Zc4Fv/tIfe7rH3ZT/FUiJLDhw3aMq+nTidVh5+YjVrNlTz1quneOvV0/T3jpHJaLftu8pmNQ7tb+XIgUusWlfJMx/eQPPKcjxe+y0JNErsVZyPHuf4+D6ssg234gPySvK9yXYORXZR41yGRbpzjdbxRAanw0I2q5FMZrHZVex3uXePXbbis7jzWckFIABZkimyhVjprWNHeC2VzuLrrnNZ6OED3h8IIZAlgWbkAwxJiBnB/c1gTppzXd7eZUnbea+PSX96mL9v/x5nJlowMLBIKqpQkIREXJvZ7ykQuGQHq33LeGNwL0PpEdoSXTR5bmzieTux21R+/fmtc77+iUfW8YlH1k09/szjGwGoLA7wF7/3YQC+8uFtM9bLqy/m/9WWhWionOktspTcHZJJgJE7Tzb5DWyefwtiqR26f3FIJ7OkJg14TNMkGkkQLvbNWM7jsDEeS5HTdExMFFmm0L/0RkWv/fwEvoCTex9sRrUoU3MksxkWateR3fuAG3N58DjbBV4IgTfgYuU912/cux65nE5vd4Rv/uO7vLfn4ge10jfJtd9XTtenbtRLcZMOF3j4+Ge3seP+Zbzxyin27j7PYP8E6VR2QRLHN4NhmBw/3MHp412s21TDMx/eSMOyYjwe+5KWTtW7ljOU7uG90Tc5Ez2ERw2gCIWkFieqjVNoLWV76HFs0p3rv/jf/7CLr375AV5/6yyvvHGae7c18LEPbbxjxzMfni29j8eKti4sfyFAFQp2xTppGDY/DM1A/4Xp1/rFx6LIuK02MloCzTCIZ7NkdR2rsjTDRtOEeCZLOpcfFyiShGMBGZKckeOnfW9wMdYOQKE1xIbACprd9QSsfv7o7F+Q0md6rthlK/WuKt4Y3EtMS9CR7L3rAoxbgaYbxJMZTrf1MzQWY11jGW7HrRXuuOlfimnqYCYwzTiX7aKF5AbhBDMGKAjJjWlMMOVcaObAzICwgplBTOrMY+oY+iDCmADhREiB/DrmBBhxQEJILoTkxTTTmMZ4/i2YGZDsCDHTuOoXjbOH29jz8xMAZNM5rHYL63Y0zljup3tO897pTtr7RnHYVNxOG//tt59f8ibvmrpCUqksiixht6lTFSbXDixM0ySnfZDBuBkGu0ex2i24vA4UVV7SWeJUKsvp4118/e/eoeVC/20vZcjLMk82tEkCSZKmBqiSxOT/+cdisunt6v913SAeXZzG/rWYkzNpsiQhC4FumlOzdyagmwaKyM/S66aRb6C7qgBBliTAZDyTRpEknIolX0MbHSNos+O32dF0HVkIZCGhT+qoA1jkhSullJQF+Nyv7uThJ1bxzpvn2Lv7PP29Y8Rj6dv2PWqawcF9rZw42skDj6zgiWfXUV4VxG63LMnvVJWsbA8/QbG9ktPjBxnI9JDRU3jUAOv821nn34Fb8d3R7PfQcIxUKsehI+386999gq99c+8dO5b54lBsOJTbow72QQbj/YVVlvE7bIwk8pmAkXiCnvEotaHAkmw/rWmcuUoC16aqFLpd817/fLSNllgHGSNLjbOCX635GHWuSuTJoHcuE0FVUim2FSAhSOppBtMjsy63UFJaDpusXFO+aZLQspimOaus7e1kZCLO93ef4MSFXh7f1MSWlVW3fJ83H4qaSXLp19HSryFJhRjmBIplI4r1PrT0Kwi5BNX+BLnUzwED08xgGv0YWieSXIKhD6JY70VSqjGMIXLJb2OaEwgRwOr5PUwzRTbxdUw9b1YlK3Wozs9MZjy+jiRXYerDSJaVqPZngbs7JX2z1C4vw+N3kk5lUVWFosognlkceC/1jPDbH9/JS/vP8vzOlXzzlSP5Ov4lnkDSdYOjB9s4cbQD5arB0e/+4dN4fY6l3dkvOf/jd79JqMTHlsdWU9FYjC/oxjk5U3wzJJMZ9u46z7e/toeerltnZqgoEhaLisUqo6oKqkVGUWQURcJqs+BwWnA4rNgdFhwOCxabitWqYrMpWK0qFquK1aZgtSpYbZOPrfnXRodj/Pj7h9i/5+JNHaNpmoxlUnREx7HLCtXeACOpBJIQJHNZVFkmkk7ht9lxq1a6YxNkdA2bomCRFTTDoMjhxCqrvNLRgs9qY3tJJVZFYSydwme1Ec1k6I5NIEsS9b4AbRNjGKZJWtdYHSqaDFAWTnGJn49/disPPb6SA3ta2LPrPN1dI4xHEmRuU/Ywk87x8k+OceTAJT7yqXvYsr2ecKF3Kji8GRSh0OheTaN79RId7dLisKscO9FJXU0Bdrt615fb3nY++DzeV3jtNuqCAVqG86Iy7ZExTvYPUBnw3bSSlGmajKVSvN3SNvWcx2alNhSc9zZa452M5aLIQubpkgepdpZPBRfXQxISdtmGS3WS0FJM5JbGnPadgTbuL66bNkmUNXROjPaR1jQeKlt8dcFSoDpklm8qZuv2ataHb72cPSxViZSZQZIKsHn/H3KZPejZI5jG2JyLS0odklKDqY+hWrZiaOfBLAJTx+L6KkLyk4p8EUO7hGkk0LPHsHn+NabeTy79M2TtsqGYBdmyBcV6d6ehlxKLTUXXDPrbR2BSytZqU7FdY07osFuQZYFhGESiSUaiCS4LMiwlg/3jPPLUGpYtL0VRJC7vweWeHq0LIbBYF69j7Q848Xjtd6Xaw63A53divaZhu2l9Fcd2n+fknouEywOsv6+ZVdsbCBb58IXcWO0LD65TU8HF3qUNLgRYLAoulw2H04rTaSUYdlNU4qewyEu40E0o5Mbrd+L1OfLqcTcRKAkhsNhu/nJmmCavtOfdTvvjMT6zbA1jmTRvdV1ClWX8VhspTcOuqJS5vezqbsNntWGRZfw2O1ldZ9zjozlQgGYY2GQVRZKRhUT7xBhOReVsZJgKj5ejg324VAsvt19kbWEJhwZ6qPUG8FpvbqYrGHLzxHPruP/RFZw40smet8/RerGf0ZE40YnUbenTGBqM8lf/7VVOnejiw5/YQl1jEeoCsm5pPUXWSGOXnaiSBc3IB0iyWNrM3VKyZVMdBw618cXP7kBIgqKiD0p9r0aWJWRl8SIHZRWBO+aPdbuRFZmC4jv7+wk6HKwqKeK1C63opklnZJw3L15ieWEBtaHAoidCTNMklsnydksbe9vzYzkBFLpdrCkpyi8D6IZB1rjSV6bKCparvDCGM6MktRQha4AyeyEWaf7lVbKQsEpWYmaCrDEz6z2RTTOaTpAzdKyyQtjmQpYkRtIJMrqGbhrIQqLM6c17eKRi/POFwxTbPThVCzXuAAYm45kUYZsLv/X6pZtJLUcsm8ahWnCrVsYzKTKGhs9iJ5pNM5FNo5kGTsVCkcONKsnEcxkGkrGp7HetN4hAMJFNMZRKIACrrFDu8pEzdFJajgqXb6p5PqvrRDJJElpmKgtf6HDjUq1Es2ki6QRZw8ChqFP7XChLEmAI4UDIxSAUhLDkdeTR8jKOpg6miWmmp4oIhHAABkg6QtgwTY18aZUXhAwIkAKYxjimEcXUe8klvwcIJLkGhJqXLZM8SPLskni/qLSe7ubQW2fx+F0YukHnxQG2P7mGpqtM9gCW1xRhs6pUFgV4/eAF/G57fkZticcWlTVhTh7tpOPSUF45avLm/8xHN85wtlUti1dquO/h5dz/yAqsN5Br/UVBUSTChdPV1D73b57lmV+9nxN7LnDk7bPs+/lxdr94iNqV5aze3kj18jKCRV48ARfyPAwjc1mNwwcu8YNv7aena3RJjttqU/EHnARDLkrLg9Q3FVNTX0h5RRCP13HX+Mxcj/FMGkkShOx5kQRVkjBMk6DNwWgqiSQJiqwurJJMyO6g0uMnq2tYZAWLVUJCYJVlvFYbTlXNl1kZBpLI37iSuSxBm4Mip5t4LoMJbCkuZygRJ5nL3XSAcRm73cKW7fVs3lpHW+sgB/e3cuJIBwP944wOx255VsM04d23ztFxaYgvfvkB1m+uwe6YXxDclWyhI3GBVb4tFNnK6Uu1YwLF9gos4u5yzE5Mmp1u3VzL1s1Xark/9qFNd/Co7j5kRVp0gGC1Knz1/3gMf2D+JTTvZ4QQOBx39l7nslpYXlxIhd9He2QME9jb3onHZuWTa1dRGwpgV9V5B/yXS0z7ozH2tnXyv/YcmBocu6xW1peVTMngxrJpWqLDDKVjUwp5jd4Caj2hqe1ljCy6qeNVXSjS4oey0izKfu3RUXb3X2I8myaj6zxXtZwCu4uvXTiMgYlFlhlKxvmXy7fhtlh5s7eFttgoP+08g0Ox8Fsrd6AZBu8NdfJmbwsbwmV8vmHuifDhVJw3ei9S6wmxs7iGt/taieeyPFLWwKlIP8dH+4jlMmQNnd9cvo1ih4fXei5yKtKPIsmYpsnvr96JZpi82HGaztgYqiRT5HDzufr1RLNpXu+9yJmxQR4ubeDR8kbGMkl+2HaSzsQYfqudkVSCZ6qWsylcwa6+Vs6PD5EzDAzT4HMNG6hw+aeJBs2HJWryFnDtlyTsCGHF0LvQc8cx9S6Qi+A6DramGcPInQFhATOJpFRjGilkyzpU+xP5/Qg7klyOYYxP7ufuH7AsJZHBKMWVIR775D0AvPi3u5iYxXjr4Y1NpLM5dqypoTTspTDoxqIo5HJLO6ioqAqjWhRiEyk0Tcflzs9YK9fcSIQQWC2L/7m53DbKyoMzMiO/bPjCHnY+v5F7n9tA98UBjr97nlP7Wvje/3gVm8PK6nsbWbmlnvKGIsKlAdQ5PnPDMGm5MMBPXzhCR/vN1aAKAU6XjZIyP7X1RaxeV0nzqnIKJktj3k8IIbivvJpzkWH8Njs2RSGey7KzrJrBZJxaX4Du2ATFTjd+m4MKt48Cu5PhVILBZBy7orA8VIhDtVBgdxJJp4jnrsyQDaeSrC4opnV8lLSuUen2U+P1IyModrqxziMwXPB7kgS1DUXUNhTx9Ic3cOxQO4ffu0T7pSGGB6OMReK3tCm8u3OU//5fXuJLX32QHfcvmzHxMBuR7DBdyUs0utcAcHxiP6Zp4reE7qhS1GwcOd5JJpMjm9XQNAObTSWTyRHwO9m+9e5RH7vTKLJ8UxmMcIGX8sr5l9B8wM0hhKA+FOTJ5kb+7r3DpDWNRDbHT0+fp2c8ypPNjTQXFRByOvDYrNgUZUZWwwSymkYim2UsmaIvGuO186387Ox5EpMSuIoksawwzDMrmqYGsGfHB3ix8wTFdi9WOX8PK7JPF6lRJtWiskZuQVnZyz4uSS2JKik4FPuM10ucXh4qawAE32g5Qk9iggK7i7iW4fnqlWwpqOQ/Hn2d3sQ429zVfK5hAz/uOMNvrtg+1WthlRUeLm0go2uk9esLppQ6vbhUK93xcYbScboT4yzzFRK0OWnwhSl2egDBHx19nWgug1/X+O6l4/y/m5+kyuVHTPYIDqYmeKOnhb/a8WG8V/V8hO0uHi5rnCHjndJzrAuV8rGaNfzThUMMJmN0xCK8N9jJ+nA5tZ4g32g5wsWJEYodnqnvYr4sQYChIORiJJF/M0IKIKm1CCmMrK5Ey7yLlnkXIYeRlSZMNITkRWBgCj9CDiGr9QgpjGp9CD13BtMYR7U/jZCKEVIO1fYoWmYXIBBSEZJSh5B8yEojQvxyDTitdpWh3jFaT/XkDWZSWayzKDa1943S3jeaV2gwYWA0RuHmpVeRKq8MMj6WYGhgAi2nY7EqrFxTgaJOHygJAZabyD5kM/oHGurXEC71s3JrA76wB9M0uXCkncNvnOHU3hYqm4rZ8cx6Vmypw+6aeY5ERmK8+rPjnDvVg3kTg0uLVaGqpoA166vYem8j9U3FqOrSD5JvF5IQLAuEaQqEpx5vKLySJTVNk3UFJVPeMlUeHwDHh/spcrpYHS7ON6ID95RUoJsG0qSh1ccbr8h35zMa+eefq8vLTu8oq7rl78/lsrHj/mVs29lEZ/swxw63c+ZEFz3dEYYGJkjEM7dkvxPjSf7uf76Bruk8+NgqbDfwazExpwzc7nYmJpKkUjkOH2untMRPOOhiaCRGe8fIBwHGVSiKNK1PbyGYmEsi4PABCyPgdPBAQw2n+wfZ19FFVtfJ6DrvdXZzsm+AunCQlcWFVPp9FLic2FR1qj/DMA1yhkEkkWIgFuPc4DBHe/oYT11RdpKEoMLv46NrVtBYcEUyVTN0GrwFfLF+y5yz5l7Vg1WyMJoZI6rFp8qWbkTO1BhIj5DQU3gUF2Hr9Kb1hJZl32AHF8eHCdmcdMXHWRsswTQhbHPhUqx5XxDFgnaVQIcxmaFZjJSvIkk0eMMcHenl513ncCpWKl1+Yrk0L3edJ2PouBQLI6kEummQ0TVUIeGY9O8wJ/9l9BxWWcZ+1fMwd2m8z2LDb7EjCYFNUTGBWC5DNJfh6EgPPYlxypw+Ahb7osrrbzrAEJIdxXolFSyrTchq0+SDILJl7Q23Iav5G6xsWTnLqxYU2/0otvun71epQlKqFnvY71sq6ooY6hnjvddOYZomoWIfJZWhGcu9tO8MQggCbsdUE/CtKL0+eqidE0faKSz24fU7aW8dZHQkzsc+fQ/Oawa2VpuCqsrkFuGHkcnk0Bbpo6EbBnEtjdcyvek8pWeJZOJYZZWQdemDr/kSySToSo4gCUGVM4xHnbte0zAMRvvH6b00xKXT3Zze38pI3xi+sJuHP7WVhjWVTIzGOfj6KV74yzeQZIn1k74pl8nlNA7ub+XY4fZFl8kIAV6fg4331PHQ46vyQeUtmH2/E1wOEBbyWqXbBzDjZjjXDW+x9ctLhSQJqmsLqKoJ89hTazhzspsTRztpudBPT9coo5d9bZaQ6ESKb/z9u7hcNrbfv+y65TIO2UlWT3M2eoS0nmQ8O4KBSVviHA557jKZamcTqnR7hT6efmINAGcv9PLVX38QWRZExpP809f33NbjuNuRFRmLVUGSBcZC5WpNSCZuTfD7AXMjgMZwiC9uXkdG1zja3Udm0qsimctxsm+Ak30DAMhCYFUUrEq+Tyqr62RyGjlj9olBWQiqg34+sXYVTyybHogrksxIOs47A604FQsgKHN6KXZc6UupdJbgUd30p4c4NnaWMnsRPtVz3cG9aZpEsuMciBwDwKu6qXVVTFsmqeUYSSVwqRaa/AWcHR+c6j/IGxZP2+Dk5yQI2pzsG+wgZHOyIVRGztA5NtpLeyxCVtc5ExmgxhPArsx+far3hjgV6Wd3fxvPVDZT5vIynIozkk7Q4AtT4vQQtDmQhcCtWqn2BNk72EGB3YWEYEO4nIDVQdjm4q2+FlyqFZdqZbm/kHguy6lIP52xCPFchrpoCFVIkxVA0z+vIoeblYFiwjYnhQ43pmlS7wvfuR6MD7h9FFUG2fnsOoZ7x5BkiVCxD5dn5oA0k9P46ANrqCj0TzvhMpmlzQKcONrBpq31bNhci6LKRCeS/NEf/pB0OjctwBBCoCoyPr+D4aGFqzYk4ulFu5DHtTR7hi/wZOn0YDdnaIxkYrgU2x0NMOJamsOjbURzKZ4uWztngHHpVDedF/o4d6id1hOdGKZJVWMJWx5bxYp76impDiNEvrG/ZkU53/yvP+PIW2dmBBh93WMc3NfKYP/4oo5XiLwHw2PPrOXxZ9YSDN25z+5uwW+7c/4LN4MQAofTysZ76li7sZr+3rF8VuNkN+2tQ/T1jpFdwl6NyGicb39tL0UlPhqb5+6fK7JVUOqo5nz0OBdiJ4jmIphAJDt0XaWYL1b9/m0PMC5jURX2H2zF7bIxPBKbUSb6y44kCZwuKzabZcHBgmGajEdmlgL/MpPO5rjQOYSuGzRWFuJchMjHfFBlmXVlJXx56ya+c/QkB7t6iCRTM5bTTZNkLkcyd+P7tFVRWF9WwnMrl/HEskbUazJbHosNwzR5d+ASXkte3OUeUTUtwKh3VVFqL2QoM8o7wwfwqE7W+1dSZAuhiOlDWxMTwzToTw2zb+QIR8fOoAqFCkcJtc7p/at+q53lgSJORfrpiEVY7i+k3hvGrVpYGSiaatheGSim1OlFERKSEHyidg0t0RHGMql8gGEadMbGsMsqNlmlMz5GqdOLfY5Rt0u1ssxfSNbQafCGcUw2dK8OljCQyjdzP1haT8DqRBKCX2naxFu9LYykE0gI1oZK8VhsfKp+HfsHO5CFRNjmpMlXQCKXYSgVw2OxIRD0J6PUuIM0esP4rfmJ11pPEAkIWp1sCVTy3kAnQ8k4w2NxKh1+3Kp1wVmMDwKM9xk9l4bQcjp1K8sxTZOLJ7pw+xyUVE13ZLSqKntPttNZMDZ1o9vUXDnbJm8KIfIeBJfThLmcMackpSRLBELuRQUYsWia9KTxW2tsgP7UOFlDI2BxscxbSkrP0hIdYF2gCkkIDo22UecuwjRNDoy28pOeo3hUOz7VwQpfOQktQ1t8mHguPS24GEpH6UgMk9QyWCWFBk8J0VyKsWyCiWwSn8XBWDZBnbuQUkdgxgy1bhoMpaMMpidY468kmkvRHh+i2lVARs/RkRjBIilMZJMU2b3UugupcAbZEKzh5HgX1+OFv3qD9rM9hIr9rN25jBX31NG0oQbHNZkiSZLwh90UV4dJRKffCHTd4NTxLi6c7Vt0RssfdPHcxzbz1IfW37DU5QPePyiKTHlliNLyIDvuW8bpk92cPNrJ+bO9dHeMkEwujcdId9cIL3znAF/9Px7D451dyjpsLWZ76DHK7bVM5CKcix7FxKTK2YhVmrss9k4FFwAP3tfMyTPdWC0Kum6wY9sH5VHX4nLbcDgWHmCYpsnI8NLIif6iEE9m+Pn+c6TSOb78vOeWBRiQDwi2VJZT4HLyyrkW9nd00TIyykQqvaAiRqui0BAOsaa0iGeWN7G6dHb390pXgI9WryWWy2CTFRyKFd81PhIFtiD3BNfSlxqkPz3Mi72vcyneRb2rmoDFi2bmhYZGs+McHD3BeC7K+Wgbh8dOkTVylDuK2R7egFvNqypl0jlymRx2p5V7Ciu5p3DmeOmx8qapvx8tn+4/9mh5I4/SyMRoDC2n47RY+HT9ums3cV02hsvZGC6/8nnJKk9VNs+6bLU7wJeaNs94fk2whDXBkmnPlbl8szaZlzivCMlsLshncgzDRI9oVMY8FATcdKQjOE3LnSmRuhpdHyGrXcAw4uSTRnljPKu6HE0fJKddwjRTSJIfq2U1YJLJnsY0k3mVKeHAYbuXnNaFYcawqmuBHJnsKWQpgKpWL+Xhvi9pO9tLKpGhprkUIQRnD7dTWh2eEWBUFQe42DVEIpVFUWQEsKGpfPaN3gTNK8o4c7KbkeEYNptKb3eEpuWlWK0zf1qyLBY92x2bSJJO5QOMWC7NSCZGSs+xe/AcxXYf47kkL/UdY4WvDFVS+GnvUT5ZuRWfxcFoJs54LsFIJj6lZKaZOr3JCGcmetBNg1JHvg7zxFgnJ8Y7KbT58KkOqowcp8a7GUiPM5SK4rHYyRoao5k4T5a6cSjTG04N06AtPsR7Iy2s8Vcymonx1sAZni/PByav9J2gyVOCLCRcqjVfJDnPM7eoMsTyLbU0b6yjoqHouk7JNoeV5g015LLTZ59HhmOcP9tLZBZhgPlgs6k8/vRanv7Q+hkyuncSwzAXXnYxC+eGh6n2+7EtkVvt+xFJEviDLrbft4y1G6q5cK6P44fbOXmsk45LwzddC5/L6hw73M7+dy/y6FNrZj8GIRG2FhO25gcgOSODbursCD+OR/Xf1P5vFZs2VNNQV0gsnsbtsmG5CVGLX1ScLtu8lcSuxjRMhgejt+CIPmC+SEJQFwryxU1utlZXcKirl4vDI/RFYwzF4kTTGTKaRkbTMAFVlrAqCk6LhQKXkyKPm5qgn80V5awpLcZlnft3kNZytMdG6YyPsdxXhECQ1TW8liuZYoFgY2AVY7korw/sYSgzyr7Ro7w3ehyP6iKt569TbfEuvtbxAmO5CbJGDglBkS3EQ4XbWOPLD94NwyQ+kSQZS2O1qZgmZFJZdE1HVmRMEwxdx+a0YhomiipPGUdqmoFpmDg9NgzdpL9zlMrGYhRVJp3MkoqnkVUZp9tOMpbC6rBgtd3Nfm15Y1ndMIklMxQEXNisyoL7SmCJAwxN7yeVfhcTHdNIIklOhHAhSd68S7cRwzSTpDJ7kCUvQjiIJb6J1bIGSbhIZV7CotRimEliiW9h9a3BMJPEkz/A4/zcUh7q+xYhCXTNmBo4ztWXsHVlFRuXXaktjCXTyLKEZiytm/bGe+rI5TS6OkfRNQOXy8rOh5Zjm2U2RZYlQgWLCzAikQTJRAbDNFAkGb/FSQDBy73HSekzBzzmpPtyid3PvQVNHI608Xz5hqnXfRYna/yVxHLpaeu5VTuFNh9e1U6FM4hHzc+wljkCFNq8xHIpqlxhzoz3oJk3Lje73Hx1GYdiYbW/ggbP7DM31+Mjv/EI1nn6RTg8NjY9MrOnqb11kNYL/YvyQhBCsHp9Fc9+ZONdFVwA+Qv9Int0ruZ/7n+P+lCQ5oICloXDlHo8C5bm+0VBiPyM8/pNNTQ2l7BuYw2HD1zi8IFLdHeO3tTnHYumeevVU2y8p45A8MbSowFrAbqhIc3DSOtOIYTA73fi9ztJprIcPNTGffc23XjFJUTTdHqHJohEk6xtujVmWoZpMhyJUxhc+LXc7bHjmIeK2Ix9GiZ9vXN7a33A7cNptbCurISVxYWMxJP0TEzQF40xnkyR0jTSuRymCRZFxqaouG1Wij0uynxeyryeGeVQs9ERH+VEpBfThM7EGAOpKIokU++dPpHqVBw8WLAVp+zgQOQYF2MdJPUU47krwWhCT5HQ85l8m2yl0V3D1uA67gmum/LOME2T+HiSsZEY4RIfw92jXDrdgyTlvVuyGQ1FkSmqDBKfSFK9rJTRwQkigxPYHBaG+8bZ9OByVKtKb/sQJdVhrHaVVCJDb/swQ70RKhuKGRuKYrGpNG+smVPhcakwTZNkMstENEVJsW/e60mSRHNtMTVlocmeE4FtkQI9S/4OJcmHIpegG0NIkh/TSGDoo0iSFyFsCMmGlupGN8ZQ5Hw06rA9gKrUk84eQjMGsFk2EEMip7UDGggFVf0g3QwQLvbT3TLIj/9hd15FKpHFH/bMWC7one7uffh8N1XFgRnL3Sx2h4UHH11JNJqXqXV7HMiSmHUQLCsypeWLkxmMjMaITiQZSkXZP9xCyOrCozpIGzl000QVMmk9h0k+izCanT5DrxvGvNQdVvnKcSs2OhMjvDN0fkrWzSopCAQ22YIqZHRzLoUbgSwkMnpuUg5PYyKXnHrVIVvxWRbncG53WjFNk55Lg/S3D5PL5mhaV42/0IthmGRSWaw2FVmRkSRphvGepul0d43S3ze+qP07XVY++qkt+AIzneOvR188xvHhPgSwtqCEIufS92zourEo8YBrcagqr1xs4dWWVpaFQywvKGBFYSGNoRA++/uzz2IpcLlsrN1YTU19ActXlbFn1wWOHLjEWCSxqO3pukFnxwhHDrbx8OOrbrh8rbMZA+O65VF3irPn+2ioK+TEqe6pxvhEIsPe91pvf4ChG7T3jnKxa/iWBRi6bvDy3rN84ZmZ5Rk3IhBwzlkWdz0Mw6S3a5RcTn/fqtRFogn2HG+nqiTA+Y4hDNPggQ0NnG3vp603Qm1pkHvX5n1UEukspy/10zkwRiyZQZIEpSEvK+uKKQnNbcCXzWkcPNtF3/AEm5ZXUl7omxKUSKWzHLnQQ1vvKOmsRtDrYFNzBeWFi8sIqrJMsddNsdfN+NAENqctP8N/efLqOmIZNyKp5fBbHJS7/Ixlktdd1qO6uL9gC1XOUi7E2ulN9TOciZDU0mSNHIokY5dthK0ByuzFLPPUUu0sR73KO0MSAi2nExtLkMvoRAajdJzvJ1ziJ5vJEY3EKSwPMtQbobdtmMKyIANdo7Sd6WH9fcsYHZggNp4kXOJnYiROOpHF7XOgqDJjQ1Ew4eS+FmRFwmJVqV1RdssDDF03aO8Y5tCRdr74uR0LWlfTdc63D6LrBooss6KhGMcisi5L/g6FUPKBhLAisGGSQDeGyeTOIJBRlDJMM4dJfjAgS4H8skIghB1MDZBw2p8imXoZSfbjsD2CuItnrm4nVU3FZDM5ulsGMTFpWltFWc2VqL6le5jCgJuO/gix5JXZ+dcOnOeB9XXISzwbu++dC5RXBqmsCiMrEol4hld/foIHH18102hPkamqDs+xpeuTSWuMjsRIpbLEtBSKJGORVDyqHUVI+K1OLJLCj3uO4FQsXH1ps0j5Gs7vdR2g0hlkc7COgfQEu4fOcXail95UBJ/FQb27mJbYABei/ZiYxLU0uasyPvP55GQhCFvdxLUMP+w+SDyX5trL7NWPddPgYrSf/cMtdCVH0A0DWciUO4IzVBu0nM7uFw5x4PVTDHQMY5rwa//hw/gLvcTHE7zy9T00b6pl5RzSmBPjSfq6I6QWWUu/am3e32KhyJIgkk7RE5ugzOW9JQFGNquRTN68ysxXt2zm3PAwZ4eGOTUwwDdPnCTsdNIUDrGisJBVhUVUB/xYFim3+X7H63OyZXsD5ZUhyiuCvPbzE/T1RBbVzxOLpji0r5X7H1o+Q9b6WoLWwkUe8a1nYHCCupoCXnn9FA11RSAglcoRT6RvvPItwDBM+oYn+Nk7pzFNaKwqoKGygOFInNOt/YxFk/jcdppriygKeejsi3C+fZBEKktB0M2q+hI8Lhvn2ga41DNCNqfjdtjYuaGWWCLDgVMdvLL3HEGvE6fdwv0b6+ddPhEMe/D5FzZBcZloNMXIcJTikvyAOGfk6EkOEtcSrPQ13mDt6/PawB62hdbhVBY3+TMfxmIpXtx9kvryMJIkceR8Nz1D42Q1nYl4mt1HW6krD1MS8hBLZnjlvfMYholFlYknM+w70U7nwBifeHgtHufMQDuT09h7oo2X9p6lsjgwXdwlp/Hi7lPsO9WB323HoiqcvtTPyZY+fu3Zeygr9N3Uezv29hmqV5RTtbx8UaU01+Kz2ElqWfYOtpHQstS4g6wLzh0wq5JCg7uaWlcF49kokewEKT1NztRQhIxNthJQvQQsPuRZ1JByOY3oeIKhnghDfRGEJHB67ASLvCRjaXRNJ1zsQ9cNXB477ed66bw4QDajUVwZYqA7n9GNjSeZiMTpON+Hx++gr32Y7tZBGtZUkE5miE8k8YXctzy4ANANk/6BCc6e61vwusl0jpGxBEUhD26nddGqh7etSNQ04+hGCiHZEZITweVoaI4acsvafIBhpnDZn79dh3nX43DZWL21nuYNNQgBiipPO6EjsSR+t53dxy7htKlTUWc0sbBmrPly9GAbTqeVysnAQVEk3n37HNvua5oRYEiyIFTgweNzEB2//qzEbPR2R7gnLXN/4XKiuRQ2WeUzVdsIWl24FBvPla1nfPL5z1Zvp9DmzZctWJ18tGITUS2NS8lfmC1SfhAfsLhQJRmHnNe2dl6lKFXrKqTWVYDf4kARMoZpkjN1XIoNh2LFPktDqRCCEoefJ0vXkNE1iu0+VvkrCVhdOBUr2wsap47hMnbZQpOnhCpXGIdswSaps54Vx3af44d/+TqFlSHW3NvET/5+F6l4BiEEWlan5UQnE5H4nAHG6HCMwYGJBX/ul3no8VWLcuItdLhYHiwgmZse2Bwa6OHC2AgpLUepy8OO0ipe6Wjh8ap63hvoJq1pPFxZxw8unubTy9Zcdx+pVJZYdKayyUKp8vup9PnYUVXFpdEIF0dHOD04yJmhIQ5091Dq8dAUDrOmuJhVRYUUuFyLnqV7vyJJEuWVIZ54bh1Ol40Xv3eA3u7IgreTy+p0dY7Q1ztGRdVMqe2FoJsa3clLlNqrb3uj9/JlpSiKRCDgYtPG/HU5FkszNHxnegY03SCZyuJ12ekdmmDvsTb8bjunWwdo6xmhpiw0NbBdZZgcOtOFphsUBtycbunDalFYVV/CGwcu4HHYKC3y4XbYEEKgKBIuh5VsVsfvdmCbpdfuerhcVoJhF1abSia9MFVATTNovdA/FWBohk5vapDBzMhNBxh7Ro6yzr/8lgYYANmcjtNu4dEtyxiLJXnzcAv/9vMPEfK6+I0//SEXO4coCXlwO6w8sL6esM+J22ljIp7mZ3vPcOBMJ9tWVbG85kqJrSQJcprOu8cu8cp756krD/P09uWUhK4YnZ5s6eNHu0/xwIZ67l9fj9NuoaMvwn/5xlv8+N3TfPUj26e2F43EOfbmKaKjceLjcXwFXjY+ugYhCc7tv8hwzyjugIvlWxvxBN1cONTKm998l7L6Ysrqi9ny9HqCJX7OvddC28lOspkcnoCL+z62FWWeA+tKV4ANoQpOjfWhmQYr/MU0em88ySALmaDVT9C6sKyMEIJwiR9FlnB5HXj8ThwuGy6vHS2nk05m8fidmKZJaU0B8WgKu8uGxaricNloWFWBd7JkcPW2BrwBF0KWcPscrLqnDm/ITXltIeMjMdx+J5ZFlhj3D4yTyc5P1S+b0ehbpFKkIksoisRYNEkilaG00It1EeHCkgYYilyK3bodSbgwzGqEsGKaGYSwoyr16PogQtjwOr+IRW1CCAsux3PIUr50x+34EIpSDkj5ddGxqMuQpFt70r/fEEJgmePCXl8Wxmm3EPQ6WFFTjN+dL+s43dZ/S2rJTdNEVqSpICff/GQyWzQjhMBuV6moCHJ6EQFGR9sw8Yk060qrZn19fbBm1uftsoVNobppzwWtbnYUzCxfqHMXUueefiG71j8DoMg+e5paILDLFraFZ7nhqXbCtunlbLKQqHKFqXLdOLPz1vcPECz28YnffoyC8iA//YfdU69ZbCol1QV0Xuifc/2J8SRji2zudnvsrFi9tCIBHouVMpeXjK7xs/YLNAcLODTQw9aSCvb0djKRzbC1uIL9/d03DjCSWSYW8ZuaDSEELouF1cVFrCgs4J7yct7p7OTn5y9woLubgz097GpvozEUZntlJTuqKgk7Fzcr+37G63Nw38PNZLI5fvTdgwwPLXxAHYumaL3Qf9MBRlpPsmv4Z3yo9Fdue4BRWJA/p598dBXlZfmZ40xW4/FHbuthTCFLgsKgm+1razjXPsib712grXeUoUiMimI/922sZ9+JNtp7I5zvGCSaSLOhuYKV9SVEokl6BsepKw+xrLqIoUiMwZEYxU15fwGP08b6ZeU47Ra2r5v9ens9JFmioNCLx2tneKEBRk7n9Iludlwlu62bOt3JAV7q34WEoNFdQ42rnO5kP2ejrSS0FB7VxUpvA4W2EJHsBKfGLzCWi2KYBttC6yiwXinbHctOsHfkKNtDG/CqriWZjb+WxspCqosDVJcEaO8bZWVtCS6HFYfNwlgslb/+2K1T5VIAxUGDvpEJTrb2MTox/Tpnmibvne7gyPluGisLeHJbM0XB6b1j+051YJgmj2xupKokiCQEhQE3deUhdh9r5cvP34Miy5imyWhfhCOvn2Tbc5sY7R+j9Vg7Gx9dw4VDl+hp6adqeTltJzsBwbqHVuIJeVAUGU/QTVF1wdTgedd39xEqC1JaX4TLe8WPaz5YZYVmfxGNvgIM00S/FSZeV6FaFMpqCiirKZh6Llwyd5BiGCZCMPX7KKu9MmZYd1VZZGlNAaWT2zRNk8LyIFy13kL54Y+O0NU9Oq9lDd1gZDROeBHCOk67hcqSANFYGptVvTsyGLIcQJbnqvMvA1bMXMd6RTrLNmnYl84cJpnZjSQc2K1bl/IQf+EJePKD4QfW1xPwOLCo+a/44w+tw6LIaNrSNnkXl/o5eawTl9uG1+vgxNEOAkHnnCUPFqtKfVMxp092L3hfXR0jjA7HMQxzXo3Ov2h0Xexn+1PrqFpWinRNJkFIAqvdQuo6TsyxaGrRg/DahkKcLtuS3XB1w2AwGacnPoFA0DI2QjKXo9Ljo208gmYYYMLF8VFqvdfvHcpmNcYiiSV1oTZNk5SmcbS3l33d3ZwZHCKezXJfdTVNBWHi2SzH+/r5u8OH6Z6Y4OMrV1DkvnIhHxmLY7OquBz5LN5wJM6hs13cs6oKv2d6wGoYJhcmB3qbV1Yt2Xu4HXi8Dh58dCWdbcO889bZKaW3+ZJKZuloG77p40jrKfpS7ejm0nl2LBTvVd+rLIlpj28nhmmSzWqYZv480wwTm0VFSILsZJ9SLqdjmiZ2q4phmGiT5mmZbA6Xw4okCbasqqJncJzhsTjfe/UYv/+FB/NSqEKgTUqTL2bSqqTUTzDoWrAqVC6nc/ZUz7Q+DM3U0U2dcnsx3ck+jo+fo9AWwqnYKbUXkjM0Toyfx6U4CFsD7B85hm4alNuLkYTALuezybKQGM5EOBttpdgWnmr+vRU4rCqSJFAVBbfDNnUvUxRpslcw/z0cudDDuY5BItEk6UyO/tEoum6g6dPFRc51DHKxa5icZvDYlmUU+t0zvpe+kQmiiTR//cK+qYZdwzRp7xslmc6Rzmi4HPnPVFZkDN2k52IfqkVhxfYmJFni0okO2k52Ypom/e1DeXUlw6RmZQWhsgAN62vY8OjqqX2u2N7EQMcQnWd6WPvACljAb6U1OkxnPMJDJY2MZZPs6m+lzOljW+HCg9pbwWLGH0KIeStGzsXZc3047BbKSv0zxgDXomt6frJ3EWiawcBIlGxWw55V0fT59bBey12poyfLxdgtW5Dl0HUClg+4HgGvc8r/wjShtjR4Swbl2+9r4s1XT/P9b+xH1w0sFoWHHl89pxSh3a6yYk0FL37/4KxZjusRj6dpax1g5epyPL5fvqyW1WYhPYdEqJbTGe4bw3Od+uZkMkt8kYPw6pqChdwfbkhvPMqhwV4a/SHCdieSkDBMk+ZgAe/0tlPu9mKY8FpHC9tKr+/fEo+lGewfR9dv3kTSNE2GEgne7ehgb2cXbWMRdMNkbXExW1auoD4YpNDlIqvrdNWO8/LFFt7t6KA2EOCppitZq4Nnuqgs9rO8Nl/KEE9lONs2wOqGUvzXaDIIASGfC9csddXvBwJBF488sZoL5/roXGCwkEnnZjV8jGsTjGVHcCs+fJYgo5lBxnNzl2FFskNkjZv36bgZfvCjQ3zyo1uwWGSOnujk7Ll+vvCZbbf9OCRJEE9m+frPDjEeS1FW4KW2PERW0zlwqpO//eE+cprOyvoSmmuKmIinee9kJ4fOdJHN6qxuLMNhs/Djt08xFk2i6QaqKk+d/4osUVns56++t4fyQh/P3DdTre56VFaHKSjycv7swmrDTTMvVXvp4gBNy/MmjYqQKbQFWeltQBEyx8fPMZ6bIK1n6Urme+l6U4OU2AtI6xkG0sOs8S9jrW/ZlIAH5HvhXurbTdDq5fGie7HL1luSvYD8+X55y7MFaOlsjp+8e5q3DrfQXJ3PdtisKq7uYQ6c7pyxvCJL3LOymks9I+w61kplcYDa0tC067UsCZw2CyVhL46rynMqCn3YrepU6asQAlmWcHhslNYVESoNEC4LIiSBzWGloDxE8z2NNG9pwFfgxeVzgGBKsvXqQej6h1cx0DFMpH+MH/z5T/n9f/iXyFdd4zTD4OLQCD85fR6A6qCfj6/N/5bcqo2xTIrvtx8nZ+hIQlDp+mAsCLBzRwPr11WjKtfvW8tkc+zd38rhI+0L3kcskSadyTEeTZLKaDTXFS/KZ+WuDDBUpRRVmdvl9QNuzA/fOsEDG+opDORnVb/xymE+/8SmJd9PaVmAR55czfDgBFpOx+2xU1EVmlPpQ1FlyiuCFBZ6F94PYMKpY11svbfxlzLAWLWtgUNvnmHVtgaWb86nz00gEUux96VjXDjSwWOfnXtAk8vqZBfphl5U4lvUDVczDI4O9fHTtvN0RsfpjcfIGjqFDhfJXI7Dg70UOly4VAuqJNMcLOBPjuzhDzfdh0WS+YM9r/KV1df/3Y6PJehsH1nU+7qWvzxwkP3dXfRHYwQcDh6qrWVjaRnlPi8FTuc0icWgw4FumrSMjtI1MQ7ke52Onu/m5b1nCXiclBd18Mg9TZhAKp3jJ7tPYZomLoeVjzy0FrtVYe+Jdo6e66a5pojyQh/ZnM6FjkEOne3CNEw03WBZTRE71tbSNRDh4OkuRicSTMTTNFSEuXddLUHfnS3RamwuobqmgL7uyILUvHKazsR4Ei2nT8t6diZa2DvyCmv929kYuI/T0UMcibw793bMLCn9zjo911SH+d4LBykrCXCxdYD7dy677cegqjKrG0spCfswzbzOXUHAhcthZVl1IeQMzpzuobo0wJrGUjwuG5tXVlJdGiCT1XE5LBSHvSiyxOrGUtKZvDKfx2nLZ0GEQFVkfvVD9xBPZXE7Fi456ws4Ka8M4XBaF2y4l0xm2L/n4lSAoZs6aT2DiUnO1NBMnZSeoTXWhWma1LsraY11YpgmspAxgZyuTWZfuEoJ0GRLcDWnoxdpiXWy0tcwQ5zjdpHK5Hjj4MX8NeKBNfhcNnTDJJ3JcYCZAUZ5oZ9HNjUyVF/Cd944zo92n+JTj66bpjZVWxriYtcw96+vo6LIP+1aLgmBdbLSwTAMMqksY4MTHH/7NKpVpaS2iK3PbmDZlgYOv3acI6+dAGDdQ6soayhGCEFZfTF7f3KY84daefQL91FQHuKVf3iL8eEomqbj8Dhm3D803aB1ZJTvHj8FwJbK8qkAo9jhYWO4gpe6z2CRFJ6vWkWRffrMTDQXpy81iN/iJWjxo8zSvP2LRk11mNqaQgoLPDfsh8xmNULzkACfDY/Lhs/toH8kittpRVHughKpD7h76BocI5PLlwsIAZd6RycVipb2oinJEiWlfkpK59dUJYTA7bXTvLJsUQ3HF8/10dsVoaIqPGcQYxomF0/3sPunx/JqEG47H/n1naTiGfa8fJKejhE8PgdrtzXgdNs4sb+VyEgMVc2nfMMlPjbd30xkaIIj714gMhSnsNzPjsdXEZhFEvh28dhnt9N+rpe///c/JFDoI5fO8cP/+Rov/vUbjA1GqVtdwb3PrJ91XcMw0DRtSkZzobg89kXdbiUhqPb6+WjdCnKGjlVRKHK68VisfHrZapK5HKoss720knK3FwXBv9/yAE2BMJKQ+E/bHiZonzuYNE2TkaEYly4OLOp9XcsLZ89QFwzyLzZvprkgTLHbjc82e2mYNNmr4bFeGWTZLCoNFQWE/W7qK0KsX1ZOwONgeCxOJJpk29oaikNuvv6zQ/QOjVNbFqK2LERL5zDdA+NA/rsaGI1xvn2ILz67mY6+UU619LGirpiO3giRiQTb19Tw9qGLZHPaVBnWncRqU1m2opQTRzsWJl1r5m+E6XQO11Xnc8haxBrfVopteS+fiVwEu+yg1rV8VqnaidwYh8bevun3cTNs3lBDLqez693z/Mrnd1BVcXN9JYtBliRCPhch38yBhcthZdWyUmpKg1htCi5X/nP0exwzyvYA6itm7wuTJEHdHK/N6xhlieq6AkJhN10LDDAyGY2jB9v4yCe3oDgEspCZyMX5VtfPSGopal0VhK1BWmNdtMQ7iGtJsoaGXbahSgrr/M2cmrjI2eglEPBQ4VbK7IWAoNFTTYm9gJ/378alOqlxlt2yLMb1EAJUVWI8nmJkPE48meF85yBvHrqIZZZ7nlVVcDmsVBT5iSUzvLj7FK/sP89zO1dOlUw/tLGB90538u3Xj/HIpgYKAm6SqSxdg2P4XA4e2pQXBklMJGk91sHKHctYtqmOgc5hOs50M9Q9St2aKvwFHpKxvJhGsMSPJOX7L+/72FYig+P5Pp2gGwRseHQ1mcmSSZfPgXpNY7NhmkykMySy+cxjWstxZqyff7j4HpDPKg2kopjApdgwT5Yv58GSK1niS/EuXup/m7iWYGNgFQ8XbsejLm5AfSMGku8iEARsa1Clhe1DNzKktAFclutn4ufDJz+2mYDfOa9qFFmWqK0p4MH7Z3cCvx7JdI5oPEV1SQCfx45VvQuM9j7g1jMyMIGh6xSU5tOFsYkkvZeG8IfdhEr806LaWCKDrhsk01ly+tL2XtwMTqeVNRuqefv1MwteN5nMcnBfC43NJRTOYR6Ty2l8+3++zod+5V7cfieKImNoBhdP9jDQE+HhD2+gp22Y4/taqKgrJB5N4XTZiEdTuL124tE0HRf6aT3TQ7DQy/odTbz146O0nu5l9T32O2YyV1ge5Nf+/Ud475UTnHj3AiU1BSSiKUIlfp74/A42P7YKX8HsAZBhmIuuxwTyzuwLuL4k42mi40lcHjseq4W+9gRmVqd8eSmZsQxjZCgLeRB2yGRyjE8kyIoMe9+9QFV9EfaQiqxIbC6+fmN5IpGho22IscjSzF7/0UMPUerxUOB0Yldv/D2Xe718ZfMm3JZ8+tiiyhQF3fjcdkrCXhoq8w1+w2NxAl4HdeUhygt9OO1WovE0pmlS4HcRDrgYvuo9KLJEUchDY1UBpmlyqWeUVDqLw25hPJbinSOXsFpUltUUYb1LHKOLSnzYFnFuGEa+Z+BqQtYifGoI+Sp58nJHLRsDO7HJM7M1I5l+Tk68t/CDXgL+5L+/QjSWAjP/W+7uHeOfvr6HUMjNv/oXD93Sfb/x85NcONuHEFBeFeLpD28gnc5x6lgnB/a0AFBRHeLxZ9cxOhxj767zRCdSbL23gcbJLEBbyyAH97YwMhyjqMTHzoeWo+s67751nng0RSKRweOx8dHPbsNmV7l4ro/XXzqJEAKH08Knf+VeslmN/e9c4OK5PuwOK2s3VrN2Y/Wcx13fWExhsY+ujoVlHk3DZLB/nP3vXODBJ1exxr+MWlfFVCbCp7pxKg42B1ezzFOLLCS2YuJV3QgEzZ46imxhckY+MxOy+BEIvlT9EXyqh6DFx7OlDxKwzO01catx2qx8/KF1fPPVw/zpt3ZhtSjUlYa4Z2UV57uG5lzPblW5d01tXp3qUAtBr4OHNjbitFsoK/Dxrz6+g5/tPcu3XztGIp3FqsoUBtw8se3KAFS1KDg8do69dYrBjmFymSyFVQUUlAexOa2U1s9uEBss8RO8pim6svn6127TNElmp5c1ljv9fKF+ur+KiYlAUGif3qzcnuimLdHFRC7GGt+yW5pxSmtDCCQMc+EVAFljnO74T1kW+I2bPo7S6zSeX4skCUpL/IQW0eSd03RGxuJTEsk15eFFme3dljvTSCrBt8+exGWx8HTdMkLXmZGcC80wOD7Uz18dO8DnV6zl3vK5L16/yJw5eIm3XjjE8k217HhyDafea6XjQj82h4Wdz6yjsiF/Abh3bS3ffv0Ippmv/96xphZVkTGWoE79ZrFYVeobiyivDNLdOT9FhKs5sK+FnQ8tJxR2I89ShzgRSRCbSNG8vnqq7CI2nmS4b4zCsiDVjcVgQk/bMMN9YzhcNgIFHqwjMbxBJ+OjCQa6I7Sd7+fMkU7OHOlgZGCCyvpCdE0H7kyAISRBaW0Bj312O9ufXjdV7mSxqbh9ThzuuZuwJUlalMTsZbIZbd49MxORBC1nesmkc9QuK8HjtzM8MIFpmCQTaZLxDKcOtbN2ax0Wq8qRPRcJFXmprC+gp22YorLAHCaGMxkamODowbZFZ2auZXNZGdKke+l8cFksNIVC05cXAt0wZpg72ifVOC7XORvXUUaRJIHdqkwdiyTElNdE2O9iy6pqQj4HHtfd07fh8Tpu6GcxF9d+3LJQkOUrt6ciazlW2Y5b8aHM0oDrUfzTaupvJx99fgOalr+uCiEwTBMBt8UQ7vWfn+D5j2+mtCKA1apO9ilM8Parp3n6IxtxuazY7Pkae3/QScOyYk4e7SQey3t0xGNpjh1sI1zoZdt9Tbz+85NcPNdHqMDNiSPtPPORTRSV+vjaX79NX0+EiqoQ//y/d/PJL+7A67PnrykCOtuGudQyyNMf2UhX+zAnjnRQXhUiFJ59cBMu9NDQVMz50z3EYgvzC4lF07z12mm2378Mr9ONV525D7/Fg98yc7LFJlspsRfMeL7SWTL1d7lj9kH0zVIa9vFHX36CsN+JLEs8s2M5D26ox2mzIEmC//obzxDwOFAVic3NFVQV+0llcvmsv8OK02YhkcpOZSy9LjtfeGIThmkSniyRdDmsPLVtOVuWV+F12bBNTj7IskRzVRGFATfReIacriNLeYfmoOdKwG6xW1n7wAoqm8vys+RC4HDbcQeWPjNgmCaJ7PQBu8diY2WgBN0wMDBRpXxZW1bXZoQPkew4KT2DQFDrqpxq2F8qxjNn6E+8Tc5IkNUjBGzrABhK7mcotR/NSOC1NlLmehxVcjORuUhn7AUMdIQpWB78beK5LrpiLzCUfA/NSOFUK6j2fpRUrp/e+GsktB5sSogix0581mYGku8Sz7ZjopPU+ihzPkbAtmZRPnBCCFRVXtR1KB9MCMZjadRUbtH9jbclwMgZBj2xCTwW26Jn0k1MYtkM50dHGE/fGQOju4FcVqN2eRl2p5Xe9mGS8TQNayrp7xghEb3yuaxrKKO8wMdYLIndaqEo4EaRJbJ3QYAhSXk/jM3b6hcVYEyMp3jz1VNUVIcpLJo502R3WUknMqQSGdw+x5SUrsNto6s1PwOUTmVJJzMUlPpJJzLIikBSJKRJOTaH24Y34GLt1mJWbKzBMA1cbju2RTQ6LSVCCFxeB64FuuEKAbIsEILFmaLFUvPuyXe4rLi8drrbh/EGnBSUeHF7HVhtKulUjs5LQ3S3D9O0uhxJkvAGnNQ2FeMLuXC67ZRVheYVDGWzGu2tg5w51bPwNzQHC5XjE0LMKDsUQE1pkLcOtnDwdBcff2TtnOvrusHf//g9zrYNkpqsd394c+NVW5q+bCan0dI9QvfgOAAbmsu5b0MdTvudL5NarJKkJElYbzA7ttK3GQmBLGa/ZTkUN08WfQqHvPQmjjei8g6UQl3mo5/ZypH3LnFofysPP7maYMjN+FheKa5hWfG088hqVfEFnNMEOMYicdpahxgfa+fEkXbGIwmKS334Ak4CQTdllQGKS/243DbisRTjY0mSiQxNy0tQJid3UsksnW1DnDjcTjKeJpPW8Pjs+f6KOQIMRZFZs6GKg/tbiZ2fW1p7NnTdoKNtmLdfP82Tz81eEno3YrMo1JRekcQN+1yEfVderyu78juyWVUqi2Y2NXtd9qm/VUWmODQziPK67NOWu4wsSxT43RT45z5HJEng9DpwLsJtfaEYs2QwLnNktJv22Cgfr8kP6ncPtCILiQdLrng8JbQUOSOHU7HjUV3ISzjBkDNijKaPYpXDVLifoz36XQwzQzLXx3D6IAX2LTjVCtqi32I8c5aAbQ3nx/4XtZ7PYFdLEIAsrLjUSkqcDxPLtlPr/TSSsKIZSSKZkxho1Pu+SCR9nJH0YWxKAVl9nLQ+QpFjJ6XOR1BlH3Dj92WaJqbJFRf1qxCCqXHNfHE7rTyxc/mUHO9sxo7z4bYEGGG7k9/ffC8SYlq98gcsHIfbRmltAZIQjA1FScbSlFSH874YV49HBJSEvBQH8/rlycydVVi5FrfHzvpNtbz8k+Mk4gsPGPftvsD6zbXsuH/ZjLIMu8PKs1/cwf/4v36AOnlT/cxvPULDqnJaTvfyn3/nW9gcFtZuqydU6KV9lhucL+hiw72NHHjrLMf2tmBi8uEv7VzwwH6p0TSdjnN9DPdEyM3SsO0OOFl778zmUiEEqkXBYlHJLKLROxZNzzuDkUnliE+kSMTSTIwlkCQJSRJ0XBzA5rCQSmTRcvrU5mw2CzaHBVXN/4aP7Gnh3sdXYrnBoHOgb4y3Xz+zYMOu62GaJgPxOId7+xhOJGa9YFf5fDxYVzvL2nmEEDy8uZGtq/NZVu+kvO+XntuCe9J88ssf3ordqqKqMh9/ZC05LZ/tsFry9dQhn5M1jfkSltqyICVhD5GJJAMjUR7ftoxl1YWcbOljcDTGyHjyhgHGNzq/w7MlT/HuyF7SeoYnix/lW53f5Ys1n1vsRzWDRCw1NZO/EGR5bl+fy9jl6593ilBo9q5HEXcmu3inWLG6nJr6Qvp7Inz9f+/ij/78U9hsKol4hlQyi8ttmwr8ZkvKuVw2/EEnq9dXsW5TNYZh4nBYGB6KYrEqUzX2kiQwTPKN2cksiXgGr8+BaeYHrsGwh5q6Qj77a/eByAfqbs/1ByWNzaVU1YRpvzSEtgBhAMgLO7z20gnWrK+mtPwDdaH3I/kMxuzjkoyuEdfy/TkCSGgZlGsCCIukIgsJm2RFEfKS9stk9QkMU8NtqcShluJQShBCIaX3IwsbDrUMp1qKQy4hkevBoZSgmUk81gZUyTN1LDI2rHIIWVhxqPksWUobJKuP45zcRlofJp0eJqPlywXtSiFuSxVWOTjn8V0mnc7xgxcP8d7BNsbGZu99W7mijH/9e08u6P0PjMTIZHOUhL2cuNBLY3Xh1H1sIdyWAEORpEWVRX3ATJxuO+/89Bh6TsfpsZNKZDBNGO4fo3HtlSaiv35hLx++fzVlBT5ME/7s27v4/U8/MI9Y+PYgSYKScj8bt9Sy642F92Kk0zm+/419VNcWUFNXOK3pSZIEO59cw6b7luUlASUJm8NKod3CJ7/6IFpOR5r0jZAkQc2yEiRZwjAMJEnC0I2pUo/6lWVTZWUOl21JpVoXynDfGH/5f36bC8c6yGVnL1mqX1M5a4AB4HBYcLqsiwow+noisw62Z92P28ry9ZU0rCzFOukkv3pzDcvWVCBJ+VIfXTewOywISVBY6kOZVDF56hNbMAxj6vFcJJMZThzt5OihhUvwXY/j/QP83ssvE0mlZpg7CfIlUc8uW3bdAAPAYbfguCbbdXUj7dV/B7wzewpURcY+WYpnURUsk012qiLz8p6z7DrUgglsXV1F4TzKF7JGlrSRYig9REJPkTLSZBdRT3w9BvrHFxzsKYqEx+e4qfI9AAOd1vgZal3NWMQvxySWaZj81//wk6l5pVXrqhAi3wuzbnM1f/IffoyiyNQ2FvH8xzfRenGAn/7gMP09Y3j9DqITKTbcU8vGe+rY8/Z5Du1rwTThI5/egtWuzlrRbrUpfOJzW/mz//gTVIuCx2PnV3/zIeqaimhrGeBv/ttrCAENzaU8//Hrq79ZrQobttRy9lTPgp3gDcOko22YH37nPb7yW49guUv6kD5g/himSSI31/XCJKXliOcyyEIinsviUaef127ViUWykDYy6ObSVmYokgPD1MjpMcAka0ygCCdWS4CcfgzdyGcJk1ofQdsGLJIfzUiSM6KokofpN2cTgxwmBgIJWdiQhY20lpf0zulRDCM7uR5IqIh5Ds1f+NFhvvfDQ1RXhVm+rIR3917kni31RGMp2tqGqK8r5MnHVt94Q1eh6wYnL/RwsWMIl8NGNqdRt8gs7YLPyrF0iv+0fzdFThfPNzTzV8cOcrC/B0kIHq6q48trNk6pvrzb3cH/OnaAC5F8ZPZc/TJ+ddUGSt0z03rRTIavnznOG52X6I9HcakWan0Bnm9o5rGahhnLX+bSeIS/OX6QoUSCr67bzMbisoW+pfcVyzfWULu8ND9zpEjkMhpnD7fTuKaCqsYrtaOZnD5V4y0EJFLZ/ADxTo6Qr0IIQbjAw/0PL+fwe5eILyKL0dk+wj//7W7+1e8/QTDsnnprQgisNnWWZmyByzMzdaxe5+Z0vdduNy/85eucP9rOY5/eRtOGminH1Ktxume+v8s4nFZcbhuRRbh5nz7Rfd2egauRJAmb3YLNbpma8bBY1Rmf5dRsyFV9NA6X9YaBjGEYtF8a4offPrDgmc8b8XeHDxPLZvjD+3bit9n5f958kz+4917SusYbra2EHU5+beOGJd3nfHE7rDy2bRkPTiq+CAGqoqDOQ0Kw3FFKe6ITISSskoXWeBsVjqV1Zr94vn+qtn++WKwqBYWem559TGgxXur/Fl+q/gMsll+OAAMBv/OHT8HkZV1R87O4LreNx59Zx4OPrQLyQZzVptLUXEr1HxRMlj0ILBYFVZVZvrqchmXFGEa+88lmy8vR/spXH8Rqy5+zv/5bj6CqMrIssf2BZjZurQeRV1KzO/Ln+oc+uYWcpufLQ2QJ+Qa/SyEEW7bVs//diwwOTCz4XE4ls+x/5yIlpQE+/Mktd8ut7X1DPJMfvNstdybrl2/ynj3AqPcUcHy0ly++802EEKwMlPCZ2unX3TpXJQctJ+hNDTKcGaXaWYa6RAaJFsmHz9pMT+wlBpPvYqITsm/CqVTity2ndfyfyZlxPGoNAdtKFMlJo/8rnB79U0AgCwurw/83iuREkdxY5QIO9P8rgvYN1Hk/h9+2ks7oC7w38NtYZT+lzkewK0ULPs49+1rZuK6K3/qNR0inc5w83cMXPrsNv8/B2XN9fPeHh0jN4Z01F5Ik2LyqmhX1JXhddlRFwjopUb1QFjx6MkyT8UyajokxzkeGCdud/Mqq9YwkE7gtVjxXXdw3FpfyX7yPcmZkiL8/eYRELjtrpGmaJv9x/9vs6+3iufplVHh8jCSTnBjupz8x+2DINE06o+P89bGDtIyN8pvrtrCusGTWZX+RkGRBLqszOjA+dUFuXFOBN+SeNotvmiaRiSRFATexZOauUpG6jCxL1DYWsfOhZl760dEFr2+aJgf3tfDtr+3h87++E7fHfkdkBW8X5w63c/+HN/GR33wUu3OOQdR13r7bY8frd0DHwvc9PDhBf+8YFVWheX3Gsy0z3+/mesuZpslA/wTf/qe99PUsbNZzPpwaHOTDzct5rrmZgVgMp8VCfShIfTBIUyjEXx84yJuX2vjIiuVLvu8bISb16q03yO7MRqWjkjeHdtHkrgfgvdGDPFLwwJIcl2lC+6VBOi4Nz1CDuhE2m0rxLMoo882WXSZjpMkYKRbs3vk+RggxJTV77fMWqzKj7ExR5Vmb8BVJnuqnuJqrezWu/nu2xlEh8lLF1gUKYNjsFh5+fBVtLYMLVpQCGB2J8dKPjhAMubjv4eW/0Nf/paJleJR//+qbnO4fQhKCLZXl/F+P3EeJd+bE7/Hefv72vcO35Diymsbp/sFZXyu0u/ly0zY+WbsB3TDwWmxY5Om/5xXeRsodxQykh9k/cowGVzUha2BJfgNCSBTYtxCybbjqORmBTInzEYodDwLm5HP57HKhfSth25WsnSQsCAQ2OcSa8P8NppFfXki41Rqag78NpgFCQiL/fJnr8fy+mF9j9kgkxmOPrMDlsoLIZwV13cDlslFfX8TyZSW8s/cimzbO3wFdCEE8mWZkPIHXbV+UetRlFjU9m9Y02ifG+N2GbXxi2arpB3fV31ZZmXTkNQnY5p5ZzRk6xwb7ube8ii+t2oDXev3aTSEEndFx/urYQS5ERvjtDVu5v6L6l+Licvjtc7z6nffygw17/ot/9BP3ECic3uz83L0r+csf7iGezpBMZ/m1Z7diUZVJFaS7g8tZjB0PNHPovUsMLcIXwzBMfvrCYQzD4PO/fh/eSQO+98NvwTTNvHysZiDJYtab/NXkMhqBIi+qRUFaRElJIOSm4JrfyfyPFd585RRf/Mr9i1p/KTBNk5HhGN/6x3c5uK/lluwjmctR7HajSBKyJGFXFOKZDIokUeB0UuL1cKSvd8kCDNM00TQd08zPNC+0GW++VDjK6Ep280TRo6iSws/6XqGypmJJtq3rBq///OSiAj6n20b9spmqPZHsEH3pmaZicxHJDpPVf3nFP96vCCFYv7mGlWsqGBqYIL2Ifqre7ghf//vdGIbJzoeakWXpfXH9h/z5r2sGmm5gtS7Oa2Ch/Ne33+VITx/6pPLeO20d/PmuffzXZx+bsexQLM7rF1pv+TFdixACVZIJWvP380gmSVLLErBdKSd1ynaeL3mUsWyUg2MnqXCW8kjhdtyqC4m8XfrNSNcKIU+TyZ56HgVmEZuYc3khkLFMGxwLIc14DkCaQ8RiLtwuG/FJLxlJCNxuO13dEaoqQ1hUGYfDQuuluaWN58LvcbL/eDv9wxN4nDbWNZcvSkhk0fUfQbuDp2sbZ7W6v8zlk+VGX7JFVmjwB9nV1U6DP8TjNQ14LFasijJj+5IQRNIp/v7EEU4ODfB7m7bzQOX8o7P3O8l4hg33L+OxT95z3YtRY2UBf/7bzzMWS+JyWLFMDl7vnvAijxCCuoYiHn9mLd/8h3cW1SQK8NKPjhKdSPHrv/kwoQI3knR3Bhl5tQeTXE4nEc9w9lQPb716iq33NvLQ46uuu27zphpajnWSiKaQFQlpgTfSQNBFQaF30UpSL//kKM99bBOBRbqDLhbTNMGEkZEY3/3nvbz20olbtq8il4veWAwAWUh4bTZaRkZZV1IyeSzMkFa8Wb79tT0MDUR55MnV1NYXYbHIU+UuS4VNtvHHK//91OM/XfPHS7JdXTPYu/scB/a2kFigaZoQAn/ASW3dzNKA87Hj/Lj3ayiSMq9BgmEa5Ja4p+QDbg+SJPHsR/M9IhfP9S3q2tTTFeFr/3sX8Viah55YhX2yv+5uxDRNdN0gl9MZjyR4561z7H7zDH/xd19CVm79MbePRqaCC4CcrnN2cOGD0FuBbhrohokkBDnjSjZ031A7Nlnh4dKmqecMDCqdJXyu8nn+ufMFftDzMq3xTh4q3Eq9qwpVUpiPeZMiZGzy+7OssroqxMWWgSmxhcqKIC+/epJlTcXEYmkuXBzA4517cn8urKrM5lVVpCb7NRfbI7eoAEMSAqdqwX2DTMNC+Df37OTPDu3lr44d4G9PHObhqlo+vmwVNV4/VuXKYcZzWV7vaOXMyBCPVNWxpXRp64jvdqx2lUQ0ydhwdKoR1uawzFDcSWVyeYM9TScSTaLIEsFZmknvBjxeO1vvbaT1wgD7372waE+Dd98+R0f7MP/q9x6nrqkYh8NyVwQZlzMVuaxGKpVjoG+MQ/tb2bv7Ap3t+Uav1euqbridRz+9jT/56j/xd//uhzz4sS0UVgRn9GGoqoxvDrdxm02ltDxAIORmdDi24PcRi6b5wbf284Vfv/+Gqj9LxeWb8WDfOP/4N2/zzlvnbun+VhYWcqS3N6/opMjUBAP84MwZaoIBxpIpjvX3s65kaXXyU8ksr710gjdfOUXT8lIefHQlazdW4/Hl09NLHWwsBaaZl8w+dbyT731jPz1dC5ebdrqsrFxdMedvqdrVyMbAfTjnIT07mh3i9YEfLvgYPuDuoKomzFPPr+efR+MMD0YXtY2B/nG+9re76Ooc4bmPbKSw2IdquTvOnXym0iCbyZFMZjl/ppd9uy+wf88FkoksNps6b++fm6Xc56NnPDolYiFLEmW+O2cseDW9iXFaoyOEbE5e7jmLVcpfG1qjw2wvmi6scSHWTkeih7HsBE7FiSoUjoyd4sjYKVRJwa04UYR6w96c1d5lfLn2k7fqLd1Sdu5o4vU38yI5FovCg/c180f/70/41X/xj1hUGbfbzmc+ec+Ct6soEmG/i9ykwI0qL87TZ1GjBAGoS5zKL3N7+bMHnuDU8AA/a73Aax2tvHTpAv/Ptgd4uu5K1BrLZhhLp9heVsmxwT5euHCGjzatxKbcPc24txJVlTn45hkOvnkWX8iFEIKHPrqJFZumn3w/efc0755oo6M/gs2i4Hfb+e+/86EZmv13C5XVYR59eg2dHcP0LMIb4zLdHSP84e9+iyefW89Tz6/HH3ThcFpuWenJXFzOUmTSOVKpLCNDsby77r4WLp7vzxvXTTLfmbYf/uXrJKMp3nv1JO+9MvssfsOaSv74hd+ZcxvlVSEqqkKLCjAMw+RnLxymqqaA+x5efsuVW0zTJJnI0HJ+gH/4qzc5f7bvlu4P4OmmJn56/jwZXcdpsfBEQwNvXbrEr734IyQhaAyFuL/61ph86rrBmZPdnDnZjdtjZ8OWWu7Z0UBjUwmOScM0VVXu+Mysrhsk4mkO7Gvl+9/YR0fb8KK24w+62LazadbXZCFTYC1lmXsdTuXGAcZIZoDdwz9b1HF8wN3Bg4+t4vzZXt565fSCG1MvE4+l+dkLRzh3uodnPryRdRur8focWG5T+dHV6LpBNquRSedIJjJ0XBri8IE2Du5rZWQ4umTmoAvlVzavZzieYDSZRCAIu518YePcXj2XUaR8Rtd5EzX5V6MbJqOJJGntyr3QpdoodfoYSsXIGjrrQ/kyzqyhY5On7/fl/l3sG529dzNnaESy8yu5HncsvDT7bmHrljq2b62f+m2vWFHK7//O4+x+9zxWi8rGDTVs3XJ9xcPZGIumePndM7R0DqNpBr/5mZ0UBt13p0ztjbh8mglgZbiIFaFCPrt8Db/6yov8zfFD0wKMAoeTX1u1gQ3FpfzVsYO82HKOYpebneXVi46y3k/Ur6rg8//nU1OPDd0gPEuTZEv3ML/3yft5af9Znr93Jd989Uh+YHKX9kBKkmDl6nKeem493/7aHibGk4veVjar8+L3D/LurnM88MhKtu1sIlzgzg/SbEufOr88y57NamQzGulUjkQiTXfHKGdP93DqeCed7cNouZuT0lu2oYayusLrLhMqnvlbuJryiiA1dYWcPNaJvohytHRa4+/+8k3sDgtr1lfhuo57+M2QSmWJjMTZ9foZvv+tfSQTt8fHZWtlBVsrr/QmrC4q4r889hhvXbqEw2Jhe2UlG0pLb/lxxKIp3n7tNLveOEMw5GL1uirWbKiitr4Ij9eO3W7BZrt92Y3LM7CJeJqerlHeePkke3adJzqRWtT2rFaFZctLqW2YXTml0FqGQ3ZhleaXJbdKdrxqAOmuEeL+gIWiKBKf+Ow2+nvGOHmsc9HlsqZp0nphgP/1py/TtLyUBx5dSfOKMrx+Bw6nFfUWnDOGYaLl9KmAIp3OERmJ0doyyOnjXZw51c1YJIF5h4KKq9leU0lT4Ye5ODSSlxQOhwg6b2wjUOr18Js7tvDMitll0BfKcDzBH/zsVfa0Xem1ClgdBKwOnIoFr8XOqkC+NNUpW2aUy7sVJ0GL76aPw63c3pLfpeTa0iWLqrB1Sx1bt9RNXbPT6RzOuURh5iCVybG6qYyA18lEPD1VYr9QblmAYZomhmmiGQZpXUM3DTTDIKNpZDQNWZKQhUAIQVrL0R+PYZOVqb4L3TQpcrkZukZFSiCQhKDU7eXTy1fzZwf38s2zJwg7nKwIFS7YiXfu4zcwzBi6PgTomGYWSTiQ5QKEcGAYY+hGBDCQhAdZDiFug/66N+jCe1UNfE/bENosjdtOuwVZFhiGwUQizWg0gWnOpyLxzuF02bj3wWbGInF+9uLRRRnwTWHCyFCM731jHy/96Air1lWyZn01DU3FeLx5R26rVUW1yFPyi3PddEzTxNDzQcTl2lktp5HL6VNZikgkQW/XKF0dI1xqGaCjbZhUcmkHxc/86s03WLvcNppXlHJof2BRqi0A45EE/+2Pf8bTH9nIw4+txB9yYbfffDmapuX7UsbHEpw+3s1PfniI9nk2qMmyhM2uok9eUJcKq6KwpbycLeV3phTTNExGhmK8+cop3nzlFB6vg7rGIhqXlVDfVExRsQ+HMx9sWO0WrFZlyZpcDcMgk9FIJbMkYml6ukc5tP8SB/a1LLqMBfKKQ4XFPp56fv2c5QvVrtkzG3PhUJw8WfwpHPPIdiw1lycYDMPE0PM15IZuYBgGum5iGAZjkcSiZqxNE8bHkowMRZHkvGGlPPm/JElIskCe/P92Z2lvBYXFPr74lfv5iz95hdYL/Tc1y5/JaJw42smp412UVQRZvb6K1WsrKSkLTE42qVisypQqlpgcj1zLZZfky9d/XdOnrv25bD6oSCTSDA9E6ekapaNtiEsXBxkcXLj07u0i5HQQql6YyINNUbCrSydpKwmBcw6J3FKnjyK7h5SWw8RkVaAEVZo+yH24cDsbAtfvW5wPPvX2XzNuB4Zh0tU9yumzvTz71I0zVFdTHPLgcljQdWPa+bFQblmAkdF1WsdGuTQRoTcapS8eYzyd5s3ONkrcbmq8AWr9AeyKSn88xh/v343LYqXA6cQqK/TEJuiJTvDJ5tl/QAJo9If4wsp1/I8j+/nn08f5zfVbqPT4luTmappJEsmfkMnsA0yyubMoSg1e928iS34Sqf+Pvf8OjyvNznvR306Vc6GQcwZBEsyZ3ew8HacnB0mjPArWcZItW9fHx77n2sdBvraCZUtWnLEmaWJPh5mO7GaTTTYzQTCAIHJOhcpxh/NHgWBAIAAWGHr6fZ4eDKt27VC19/d9a613ve+PyWQvAjqyVI7d+hwm0yaEFaoALBepRBo1qyGIAtEbsvtHXz9PXWsZ/lvUgVqqi7CYFMoLvbz6wUUcNnNuMr/3CZQlURBw8tRzm4hGUhx8syMvi/R4LM3RQ1c4eugKFqtCeYWfypoCSst9+AsceH0OHE5LrnF6dpIxyC3uri0ekokMsViKeCxNeCZOcDrG9FSM6akoo8MzK9b/Xw3C0zEyqQz+Yg+iJGIYBuHpGOMD0xiGgbfQRWGZD+E2FZrm1jLWbShnZGhmweB0OYhGU3z37z7g/Jl+Hn68lXUbyvF4bdhsZswWZVlNYblgIDP33U6ORzh/doAj711maDC47GyfKAqUV/rYvL2Wwf4pTn3Ys6prAshoGqIgIM8u1ozZJEkolft93RYLpntYKY2EE5w+3sPp4z0IgoDHa6Oiyk9FVQEVVX6KS724Pbbc4skk56RJZQlZEecc1XMLqdmh4JqS2Q3BczajkU5niUVTjAzN0H1ljEsXhhnsm1qxDO1CsNnM7DvQTHNr/ipBkiBTY19ZUAI3KLlpei440K4HBde+kxuTC9dfN+a2V7MayWQm918iSyqZJpnMkkxkSM2+PjkRIbGKsUxTdV75/kk+PNKF1arM+ssoWK3m2b85DwqrTcFsVq4HIJKIJAq5v7P/3fSedGNwMruNKCCICy+y7yaa1pXxlV97mP/1J28y2D+1qqbvG6HrBgN9Uwz0TfHKD07i8zuoqMpRRQuL3fj8Drw+O2aLMveMwHVBDl03yGQ0ErEUsViaWDTJzHSc6ako09MxJsfDTE1Gb6K9fhRhViRsefTMuNbLuxBi2RTd0Wkmk9G5XpFGd4Ba53XDtxpHBWtDVv1oQNN0+vqnOHzkyooDDMMwiCUymBSZ2vICzCaZ1diorXg1rIgSrQWFpG/jqxDLpPlgeIBDg30A+C25EtzhoVw57OHKaoodDqyyQsBmZ195Fecmx+gMTiEhUGh38Ls79vFEdT2Qq1x4LVa2l5QRsOWalSVRZFtxGb+0fgtv9V/lcnCKCqc7L30Guh4mmXoTt/P/QJFriCW+i27EMZnWEU98H1UdxOf+t4iii0jsb0ik3kGSK5ClpSksq8XE0Ayh6RjZjMrpQ5exzxrGdZ0boKRyvqX8ztYq7BYTz+1dR8/INMU+J2ZFzssCYa1RXunnuU9tJZXKcOxwF4kVqtMshVQyy9UrY1y9MnbT64IAsiyhmGQkUciVvFUdTdNQNf2+CMwO/egk44PT/Pw/fw6zzUQylubHf3mQd/7+QyRZpHVXPb/wL54nUOZbcj+BIjfbd9dzqWN4rsl8NchmNc6fHeDi+SFKy71s3FxFVU2AknIvTqcFWZaQ5NziRUBAN3KLsuwslSAaSTI2EmKwf5quzlH6eybIZFYW8AgCBApdPP3CZh59agMv/+AUZ070rjrzeX5sjHgmw/7qagRBIKNpnBoZ4WBPDwIC+6qr2FFefl/0fBmGwUwwzkwwTvuZgbnXrTYTPr8Dv9+B023F4bTicFmwWpTZYCNXsbu2sM6JD2RIJDJEQglmgnGmJiIEp2Nk85yBlSSR9ZsqeeGz21e9j9t5ZCx3gRyLpujrmSAcSpBKZmeD3SzpVIZUMkty9m8uSMj9Tc32VF17PZXMrJrKsxwYhsG5M8uT6xVFAYtFwWJVMFtMWG/4a5ml1OXeux6Y5CpfCpbZ7YqK3ZSW+xYwKb272LGnnkgkwbe+doTB/qm8jb+GwWxiKMbZU303vSeKArIiYTLJCICq6bMSshq6dh9MAPcYZlnGlucKhs20cIBxYWaM7/edo8jqxDLrfxGwOOCjWWxYNmKxFKqq43RakCSRmZnFK6PpjMp0cOWmugCReIoT5/tx2i10D07x6cfbKPDaWSkHZsWzpMts5p/v3H/b7Qpsdr66aTtf3XT7icRpMvOLG7bM/dswDHQ0DMOYyyTKosimwhL+8LFnb/qsRZZ5pq6RZ+oWd/teFQQZSfSTyV5EN+LoRhJZLMbQ42haEEkqRpZz/EBFriWdPYumTa5ZgOHyOzBbFXoujuD02GnZWg1AIpJc0NH51OUhFFmi2O+kxO/CaTPf88zUSlDfVMxnv7wbSRI5+v6VNa8QGAZzZe/7FacPXsRiN+cctQ3oPNPLj//yXfY+s4mCMi/HfnqOQz86xWf+wRO33Vfb1mq2dwwxNRFZsbzordA0ncH+aQZnm/NNJhm314bdbsFiU7BYlJzs4GxgEYumCIcSJOLpO2509PodPPFsG08804bTZaWk1IPLbSM0E1/V/r55rp3uYJB91dXouk53MMh/PvQ+8UwGsyxzbmwU18MPs6kkv0pS+UQykWE4EWR4MP9GhHcCQRCorS/k5355/4qljnVDJ6LOMJOZIqXF0Q2dhVadDc6NmJZJVe3vneS//YdX5u7bBx26bpBIZGYrJau7/x99aj1f+fUDlJYt3ct1pwhl4owlZ5BFmTKrD6s8f6H5+Cc2Ioki3/ra4VULCawEum6QSasf+UrEamGR5by6fi9FkVJ1jWZPIb/csGtJK4SfNRz+oIuJySiffG4zbreVl145Q2IRQQRV1envn1pVz6lhgN9jx+e2EY4lGZ+OIssibod1Rfu792m4RZDVU0ynR1BEMzbJhV3OD/VpuRAFB2bTZuLJlzGbdiJJAWzWpxAEBVGwoOpBdD2KIJjRjRACIqJw+0ap1cLjd4DfgQFUNhZRVlN483u3wGE1cfLyIJf7JSqLvBR6HWxqWPvm1HyivrGYz//8HswWhfcPXiI8s/rG748CpkZD7H1+M5Isomk6r//dEUqqC/i1f/sZdMMgHk5w8Xj3sgIMl8vKgSfWMzwY5OSx7rwGVpmMyuR4hElWz9NfDrw+O088vZEXPr0V52xFL1DkprTcu+oA48L4OLsqKxAFgXg2y7s9vUTSaX5v/z5kUeIvT53k/b6++zrAuF9RVRPgy7+0f1XUqFB2mg+D79AZOUNKTxLJzmAWLUiCQkKLIiBQbKmg0taASVxegGEYq/OD+SjDuEtfynQ6ytvj59EMnRfLd1ApBxbc7pEn12O2KPzdXx2ie1bv/2PcPQiCMLfAtypKXisYgiBgv6WCEc4k6YlOM5wIM5WK8cFEL3ZZAQRKbS6KrAtLsP+sYHAoyNDwDNlsLgj+8Stn8HrtOByWebUFTdeZmUlQUrxyCWJFFhmfjnKpewxREukdnsJsknDaLTkTw2Xivg0wREEmlJ1gKjWI2xSgxFqP11SMaZmqIncKAxVNn0GWSjApzSBIqNowJqUZRVlHVhsknvgRgmgjm+3GpDQhSQsrouQTxRV+MuksoekogiDQsrUaZQG50F3rq9m+rpJTlwZ55cgFgtEkf/A7LzxwGitVNQE++6VduFxW3n3rAuOjYTRt7SgJ9zcMZCVnPDYxFKT9yBU+9ZuP4fTZiUeSuAucdHcMLXtvDU3FPPXcJoLTMa52jj0w36sggNfn4IlnNvLi53fg8V0PsAuLXJSW+7h4fvnfw40Ip9NUuN25/pZUioO9vWwtLeXJhgZGIhGqPR4Gww+urOG9Qm19EV/6xX3sPbDyPgmAq7EOrkTOUWyppNreyPHgQcqs1RRbKplMj9Af72Kn/zHM0spNpT7G8mEYBmdnenGbbIQycQQENniq0AydwcQ00+koiihRYvVSYvUSTMcYSEyS0rJYJRMVtgJ8Zgd1zmJ2Zhq5HLn9c7prXyMWi8L3vnWMjrMDeRVxeNCQUVVCyRSJTBZNX3i8LnQ6cFryIzhT6nbymY2tAGwoKcJjzd/6a6EKxnQ6zqGxq2R1nbia4a3hy7hNNkQB9hTWLjvAUHWVrKGiGRqSICEL8qzx3oONT7+4lWxWw+O5nsz+0ud3Ul9fNG/Zn86oHD3WTceFlc+FmayGLInYrCZ0w2DP5lp8LtuDKVO7EAxDxyF7ka0KmpEllBlHRCJgWXs1F8PQ0LQxNG0CQXCQzpzGMOIgWHDafwGzKdcwk04fw9CymEwbsZr3IoprV8G4hpnJCJ1nB5gcmUEAiir8NG6qxO27uYrRNxqkfzTIVCROTamfRkVCEoX7QiZvpSgt9/HpL+6kqMTDmz9pp+vyKOmfwUmmvL6Yq+f6uXK2n2M/PYfJorDn2dy9qGs6iVgKSV5+CCkIAtt21RGLpvj+t47R3zd533ONBUGgsMjFk8+18eyLW+dRbXx+B6XlXmRZWlUDu0WWyWgaqq5zcWKC0WiUX9+2DXE2kycKQt6dvD/KEEWB1o0VfOoLO9n7cNOq9xNMT+BSvOwt+AQVtlq6Yxcpt9Wx2bMXAfjJ6LcZSFxlvWv7sisYH2Pl0DH4+4EjbPLWIIkSIgLr3BWMpWZ4a+wcTsVKUk3jNtl5pnQrMTVJb2ycmJpiMhVhu7+efYUty3JnvwZRFNi0rYaCQhcvffcExw5fYXJibauj9xt03WAsGuVozwCd41OEkimyi/TBfnl7G9uryvNy3NbiIv79s7eviK8GoiDgtJgxz0qgKpJEidXNp6rbcg32s9tAzjPDY1o8uDEMg5lshLHUBMFMmEg2SlJLk9VVFFHGIplxK058Jg8llgAek2tF9+D9Av8t67zSUi+NjcVUlPnmLf7TGZX+/ulVBRiyJFLkd5JIZbCalFWrs963AYZmZAGdGnsbimhGNTLE1Jm7cmyD7GzvRZgC7x8CIpnseWLxb6FpI5iUeqyWfVgt++7K+dyI7o4hOo51U1JVgG7onD50GYvNxIZd9Tdtd6l3nKHJEGUBN7t2VlPidyKKIun0g7k4crltPPHMRopLPLzzxnlOHe8hOBW7Z2ZF+YQgsKzeqf2f3Mq3/9tP+OZ/eZWx/ike/8JuympzVLlMOstIz8RtG7xvhckk89Bj69B0nZe/f5K+7ok1bVq9E0iSSFVNAU89t4knnmnD4Zw/4ZgtCsWlHrx++6qkVNcXFfHBwCBVHg8/unSJKo+b7eU5Sk9a0win0os2Jn6Mm+H22Ni8vYYXP7ed5tbyO6K46uhYJfucL4ZJtJDSEqh6FpvsoNG5kVdHv0lGT2PjwdW1fxAgCALlNj97Azk/hJSW5Wp0jJ7YGM+WbmMkGWQoMc10OoJJVCiz+jEEg5HkDKOpmVzrzApvBVEUqKjy84tfPUB5lZ/337mYSzR9VPolbvN9hJJJftx+ie+e6sBqUiiw2xZV6ss+IJVoWRJpLgzwyzty/beVXg9WWaFS9jIYm2E6HWeTvxwD6AyNM5lS8ZrnJ3HjapLOaA/t4ct0RnsYTU4QU+PzOrScsp0SaxHNzho2uptpctZikx/siufnP7OdAv/Cne+yJFJa4qF13copqQ67GbNJwWY10VJbjN2yOhn6+zjAUPGaSjBJuQlFEcx4TWtPQQIQkJDEHCc0lvg2IKJpU0hiAYpce1fOYTEkExkqG4t54vM7wIAf/+0hUgs0+TRWBtjUWIY8m9GejiTwu+13+3TzClmW2Ly9hpIyDw3NpXx45AoX2ofyqjJ1NyFKAgUBFw1NxVTXLMxBvhFbH1lHPJKk/9IIWw608NjndwG57I0kiVQ0FNPQVrXi87BYFB55Yj02m4lXf3iaix1D912jo8kss3lrDU88s5Fd+xoxmRcfuoqLPZSUelcVYHymtZX/cOgQf3rsQyRR5Fe3bcVrtc5RpsZiUfZXV9/BlcxHoNCFxWpa8Dl+ECHJIg2Nxex5qJlHnmwlUOS+Y3NLm2RnOj1OSs/1YbkVL+OpYaJqGKtkJ6UnyegZ7gu5t484BARKrTcmMgxUQyOpZQhmolgkE5u8NYDA+XA/vbFxKm0FRLIJsrq2mvgid1xBwOW28uyLW6hvKOLwe52cPt7DQN/UbZXF7lcoJomq6gDrNpQtuYAbCUd590ovNQVePrtlPaVuF8oiAUap+8HoU5BFkeaiAM1F8+e+3tg0neEJNvnLEYCLoTFkUaTRXXjTdtFsnMNTJ3lr4giDiVE0Y/GqdVSNE4320B3r53y4k8cK97IvsA2n/OCuix7at3hVWBQFamsCFBau7H7QNJ3LPeOkMtlcFSOZQdV1FFYuz37fBhgpLc5A4iJV9vVIgnzXggsABBmzqS1npqeNgSAgSYWYTZuQ5fyUHlcLRZHo7Brlne+fQNMNBrrGSSbSpJNZWrZU4S/2ABCKJTlxaQBNN+YG888+2nbPzjufKC718uwnt9C0rpQTH1zl7KlerlweJZV8MKozNruJ8soCGpqKaWoto6W1jJJlqLaYrSae+OJuNFVDvMVMzeGx8cKvHsDuXh1Nz2JR2HegBY/XzrtvXuCD9zsJBeP3vKlSEKCkzMueh5p4+PFWGptLbptJKSr1UFzqoX2Z8p43YndlJb+zcyfDkQhVXg8P1+SU1g3AaTLxaG0duyvzS9PctqueVCrL+TMDdF4auSueKmsBURKorgmwcUs1O/bUs2FTZU7yMw/iHAXmEgaT3STUnOxipa2BqxMv8f7UaxSYiumKncdnCiAJ91Ze9WcFN9JLFFGm3lFMi7scs6QgIOBSrDgUCzE1RVLNIAsSDtmCRVLQDZ0r0THOzvQylJjCIinIgkSRxbMsKobJJLN+UyVVtQHWbSjnxNGrXGwfZGR45oGpaBcEnFTXFdLYUkJLazkt68uWDMLj6QyxVJrnNzTziXV5Vsy8DyEgoBk6aU3NKRDq2pyi6DVohsaHwbO8MvoOY6mcyphHcVFmLcJrcmOVLEiCiGboJLUUwUyYkeQ4oWyEvvgQL4+8jSxKPBrYjSTeO2+jtYIgCFitJqzWlVXcQ5GcalRxgQurReHE+QGqy/xYzSsfW+/bAMMuexCRCGen7mr1AnI3tyA6sduev2vHXC58RW7sLiuToyF03cBT4ESWJSZHZqhdVzq33ftnuykucFHsc85N8KIgoH1EMnySLNLUUkpldQGbtlZzsWOIjnMDXDg/RDScvNenNw8Wi0JpuZea+iLqGoqoqSukuq4Qr8+x4uyuJN88GAqCgKzI+GaDy9VCkkTatlRTXOKhtqGIDw93cf7sAMl7lFn3+uxs2V7Lzn0NbNleg2uZwZPHa6ekzIvJLK+4EmOWJZ5vmd+ILACVHg+/vGXLHGc4HxCEHPXjcz+3h607arl0YZirl8fo6hxlaHCa7Ap9Qe4FrDYT1bUBWtaXs3FzFa0bK3C5rLc1fFwJKqy1CAj4zTkZ8EpbPc2uNjrCJ+iLd+KQXezyP4Hl4ybvNYWIwBPFbXhM17O+kiBSZvPzUGAdw8kgICAJIg7ZwkZPFTbJhCxK7PA3UGXPZaAFcjSrgMWFXbasuKSRq2bY2HegmZbWMi52DHGxfZCO9kEG+qbuuwqsIOTGpcrqAuoaiqmpL6SmvpCqmsDygnABlDzLxN7PCFgcZDWNv+36EFEQSKgZ9hTezB4ZToxxeOokE6lpZEFis6eVzd51VNrK8JpccwGGauik1BQz2TADiVHOhi5yeqaDyXSQQ5MnaHTUUGV/sBQ2ryEWT2G1mOYMVG+EpukkEhnMZhnTAkJAiyGZyWIYMDkTw6zIJNOZVVcI79sAQxFNlNly5R9pjdyxH0RU1BdhsZmYHAnlTMZKvVgduaZGp+f6oK8bsHt9NZVF3ptuvAdFKWi5sFpNrN9USVNrKVt21NJ1eTRnpNc5Sl/PZF6cwFcDURTweO2UVvioqi6gorqAsnIfFVV+AkVuFCW/GRPDMIhHkoz1T1G/sfKO9lVU4uETz2+msaWU9jP9tJ/u51LHEJG7ELjJskhlTYCmllLWrS9nfVsFZQsYSS4FRZEoKfXgL3AyOpyfvi1BEFAkCWUNXLwFQUBRJJrWlVHfVMLkeIS+ngkG+qYY7J+iv3eKkaEg0UjynleUrsFsUSgp9VBTX0RDUwl1jUXU1hfhdK1MJ325cCk+1inXGxltsoPt3gOUWWtIaglcsodyWy3yxxWMNYUgCBwoWj/vdYtkYr2nivWemymadY5i6hzzk4NNrlKaXKXzXl8pJEmksNhNQaGTjZur6L4yxtXOMbq7xujpGmd8LHzPvI3MFoVAoYuKKj+VNQWUV/gpr/RTUeXH4VzZc+K1Wil1O7k0OkmkOY0rTypR9ysqHV72FtVyOTyOYcA6TzHNnpvpURciVxlJTqCjs827kU+VPUWtvQJ5IbUoxUmxNUCDo4Zae06G/Nj0WUZTE5wPX3lgA4x33r2Erhu88OymeQFGKJzg7YMXqSz3s2tn3bL36XXZKC/2zPlrrG8oxbpK4837duWu6lnC2Qk0QyWlxfGbVz4Y1TUW8+Vf3kc0sryFkSgI1NSvjVHerr0NFBW75/SLbwe7w0JNXeG816MzcS6f7mN6LIyuG0yPhdm8v4mCEs9N2ymyxA/ebacs4EGRJQTg2b3rkGWJL//S8r8TgOISL76C+7txUlFk6huLqWsoIjgVY3gwyPBQkL7uCYYGg4yNzDA5EVkzGpXNbqKg0EVhoYuiEg+l5T4CRS4KAk6KSjx4fXbkPGa+b4Wu6QxdHeP1b3zAP/qvP3/H+1MUiaaWUqprC9m8rYa+7gk6L43Q3TVOf8/kiu6f28HtsVFc6qGswk99YxHVtYVUVBcQKHStml7TurGCX/mtRwiHbu+dUlFdgLhKlYx8Q5JEiks9FJW42bqjlumpGONjoZyvyESEsZEQ46MhpiajBKdjeTErXA5MZpmCgIuSMg9l5T7Kq/yUlfsoKfMSKHJhXkX5/HZQ9SyaoSGLCpIw/9lxKh6aFM+q919a5uHnf2U/sdiDSUm7E0yORzh/pp+RwSBqVsNklqmpL6JlXTkdZwYwWxT8Bau3Te69Os7wQJB9j7bk8awXhyiK+PwOvLvqWL+pkomxMCNDQQb6phnoywXoY6MhQjNxtDUQsZBlEZfHRqDQRWGRm5IyL8Ul7tycUOSmsNiNzW5edfBd5HKwu7aSVzs6+fP3j9NWXozfbsMsz1/ClXlceG0PdiXPJpvY7C9nvbcUAwOTKM2bC0ZS48TUOFbJwsOBXdQsFlzcAFmUqLGX80hgN+2hTuJqguHkWF7P3TAMdMMglVXJaFpe+oOcFvOCya2D716irMy3YOJJzWp090wyMhpaUYBht5porsnPOvi+DTBk0YTXVERGTzGe6kU3dERhZYuA0jLvmjuSLhfNrWWrMpi6FX1XRglNx9iwqx7dMGj/oIvh3sl5AcaGuhIGxmZmZd6MOWKUJIk88sT8DNRHBYIg4A848RU4Wb+pkplgnOB0lFAwzkwwzsR4mOBUjHAoTjiUJBJOEI+lSWdU1KxGNquiZnMuwaIkIkkisiRhsshYrSYsVgWb3YzLZcXlseF22/D5HXh8dlxuKy63FY/HjsdrX7IROd+4Fmz2XRzO637N5uuB26ZtNYyP5ha7E2NhxsfCTIyHCc3EiUaSue8xnUXNamiajigKyLKErEgosoTJouBwWHB7bLg8VjxeO4VFbgJFLnx+Bz6/g8IiF0oeePtFJR6KbnkmHiQIgoBikime7ScxDIN0KksolCA8EycaSRGLpohEEoSCcSLhJLFoimg0RTyWIpXMkE6ppNNZ0mmVbFZF1wx0XUfXDXTdQBBy44EkSUiyiMWiYLOZsNrN2O1mXB4bPp8Dr98+d497vXa8fgduj21FZffVYDI9yoXIScqsNTQ72xCWGP9PBt9DEmRa3duWLVPrK3Dy6FMb8nW6DxQioQQ79zTQfrqPkcEg9c0lrNuQU/o6+EYHjetK7yjAGB8NcaF94K4FGNdwjXdeVROgsjrApm0ZZqbjzARjhGbiTE1GmRyPMDMTJ3LDHJBKZslkZ+eAzPXxS5JERElEUSQsViXHabeZsDssuN02XB4bHq8Nr8+O22OfnReseH0OHA7LimTDl8JYJMrBzm66J6e5OjHFoa5enBYz8gKN3l/dt4N9dSsX+7jfIAgCpiUqxgk1SVZXKbMWUWQpWLbPhSzKFFkKCJh9DCZGiKt3buCr6TqXRie5NDpB3/QMM/EkWU3Lm6LXbzy8g5aS+Qnn8YkIe3Y3stB0aTYr+H12BoaCeTmH1eC+DTAyeoqxVC+GYeA3ld73msWxZJqxYJSxYITRYJTpSIJEKkM6q5LOami6jiJJmBQJsyJjNSsUuGwUeBwE3HaKvE78LvuCN8qNSMbSOD02Wnfk+IhX2wcXVJ+pKPTMU40SV7BoMwyDeCrD4ESI/vEZxmdiBKMJ4qkMmayKQU632mpW8DisFHrsVBR6qS3x4bJZ1oQmsRIIwmywUeDAP1t90fUcJzERS5NMZkglMySTWTJpFU3TyGQ1RqYiXB2aZHgqzFQkd70pTUMQRdJWGafdjNXrwFHopqLUR1N1EQ1VhVgtSt6d5kd6JohHklQ0FmOxmek6209mEf+PbFalZwUmeyuFIAgUBJwUBJwYhkEqlSUayS1qk4kMqVSWTDqLqupomo6hGzkXWElAEnOTtCyLmC3K9YnaasLhsmI256cR+H5DJJ5i9IYxYSaaIJHKklZV0hkVXTcwKRImWcZskrBbTBS47BR47BS47RR5nHidtrl72WI1UWw1UTwbOBkGqKpGKpn7/tOp7FxAoWY0VPXaf9d/k2vZNcMwEBBy3F1RQBRFZFnCZJIwmWRMZhmL1YTNbsZmM2GxKAiiQCSRZmB8huM9w0yEcmNCIpUhM+s5osgSdrMJj9NCocdJVaGHmlI/jlXIHI6nhrkSbcet+LgdSX8sNcRoqp96x/q8+mComs7wdJjekSAj02Emw3HiqUzu9zMMTLKExaTgtlsocNsp8TmpKvJR7HPcN1WxheDy2Fi/qRJN1TCZZNq2VlNTX8Rg/xTpVJb33rzAB+9exmoz8fizbTicVg6+fp7x0RBqVqO+uYQdexro657g7MncPJ3NaFTXF7Jr/3Vlm2Qiw4VzA2iqTtu2aiwrbDi9EwhCjkIrF17C5+tENm1H1+tJxNMk4mlSyWxuHkhlyc4mRXQt96xcC8BFUUAUREQpiyhOYbHUoJgkFFMWRbqM2ZrF7dmBxaqsaYVaQMBvt3Ggoea221qV+3ZZl1fIoowoiFgkM9IKk8/S7OcEQbxt1eN26Byb4qWzFzk/NMZoOEowniC5TKbKcvGZLeuhZP7rgiAs6vekGwZZVVu191kmq5JMq+i6jstuWVQWeSnk5U7sHJzgr39yHG2RC3lmZzMH2upWNODG1OBsU18Zk+kBFhLPNgyDU1eG+PbBswvuQxDg8wc2sb1pbcz54skMXSNTnOka5vLABJPhGLFEmlgyQzKTJaPmBi1V1zEMA1EQkWcXXIqcW5zbLCbsZgWH1Uyxz0lDeYDGsgJqS/14HPPLnG6/g+4LQ7zy9cPomkFoKkrLtvmDzpkrw4wFIxgGTMzE8LlsNFYEbnuTpDMq3aPTfHhpgEv940yEYoRiSeKpDMn07DXNOoiKgogii1hMCnaLgstuxe/MHWdncwVtdWUosnhXFo9nr47wvUPtpG4xQXPbLfz2C3vwu+2IoojDYcHhuNk/IZpIc65nhOMX+ukZnWY6miCqp4jLKhmzjqobGIZKWNOZiGcZzia5Eg5hHxzF09GD322jpbKQtvpSmisKseSpEe/Nbx3lavsAv/HvP095fRHf/sOfMLlIT4GhG0RDcbyBlUnS9XQMcuqtDuxuK7ue3nTbRnFN0xnpGaeioQSr1URhkXvB7Y5fHuB777WjL1Ie/uIjm9hS4c97IGoYBu+cucpPjl9e8H1BgF9/dheN5beXBV4NIvEUnUOTnOka5srQJNOROLFkhlgyTTKdJavmxgNN0zEwkEQx95+Uy9bZLCZss+OCy2amxO+mobyAxvIANcU+nLbri2dByFHZFMWK07V2lIhEOkN73yjHLw3SOTjBZChOOJ7KjQmZLNm5MUFAEnO9KhazjN1iwm234HfZaa0qYte6Klqri5f9m8e1KAIibmW+idStcCs+LkSOoxm5id0wDI5dHOD777fP27a8wM0vPrUdr3Px7ywUS3LqyhDHLw/QOzZDMJIgmkyRSOWuV73h95MlEYsiY7WYcFpNswkXBy1VhWysLaW+rADzA7ToC4cSNDSXUlrh5ac/Os26jRXUN5dQVVNAoMhFKpnlpe98yNZddUyMhTn1YTdf+uX9jI+GOHeqj3UbKhAEgVQyy7mTvYyPhmjbVrOmC/DFYBgamtpNJn0EUSpFMVXh8eYqzCuBpo2RTryLzfkoALoeJpNKYOhRrI78uVsvhgqfm3/w8K5lbet3PLiyqyuB3+TFKpmJqQlUfWV9NqquEcnGsIpmCkyrZ7kc7urj60fPcHpghHj67vd7VpT7OHmqlxef33yTWpRhGEQiSbp7JqmqWFkPI0A4luR4e06F0aRIbGutxG5beeImL6NeMJLg4Jlu1EWs61urijA2rmyfAhJZPY1NdhGNLV7iGQ1GeOfM1YX3IcBDG/PvW5FMZ2nvGeX1E51cGhifm3C1Ra7/GjRDJ1cx0yCdJRy/mftrUiQ8HX14HFaKvA421JSws6WSxvIA5lk6Qv36XBl7uGcCWRHY+cR6qhrmN9Fta6kglc5ikKuuvHz4wqKLPYCsqnF1eIqfHL/Mma5hRmeihGPJRYPGuevJ6KQyKqFYkuGpnO9Ae88I77f30FRRyCf3trKlYWmN73xgfCbKofYeYsmbPTEKXHY+s3/jgh4gWVXjQt8YP/7gIu09o4wFIySWMCJUjdziMJ1Vb/rtRFHg1JUhDp7t5nde3Mu2PAW0LdtrCZR5cXhy6kl9F4dp2V5HeX3RvEWaqmr0XRxeNABZDP4SDy6/g8mhIMll+IlkU1le+5v3+I3/54tLbjc6HeHg2auL3j8H2upYlePWbWAAfWPBJceEzz60wsFoGYinMpzoHOStU1foGppiMhwnmkgt+fxALkOuajpkIUGW0A33lQCYTTIeuxWP00qJz0VbXQk7miupLfFhWuNFayqjcrF/nNdPdHK+d5SxYJRIIrVEz4eBqhmomk4yk2UmmmRoMgxAe88o77X3sL6mhBf2rGNd1e05vrqh5pIyy2jcNolmMnrmBjIoDE+FF7wPGsoKeHb3ugUDjHRW5dSVIV778BIX+sYZn4mSyiyejbz2+6UyKqF4itHZ12VJ5MPLAzSUBfjqc7vYWLtA+vE+hdNlpb65mLrGYg6/c4loJEkmo9J5cYR4LI1hGAz1T2PoBqKYq2y2tlXidFnpujRKLJrE0A2uXhrB0A127G2gorpgVRnQO4WujWAYaSSpDF2fxtBn0MmQSb2Drk9hGHEEwYnV/nOIopd08g2y2TOAgWLahsn8KJp6lVTye2RSb2OQRZIqMVmewDCyZLNn0KP/BQwDxbwXk3k3mtpDJn0ITRtFFIsxW55AkitIJb6fOyd9Gl2fwGr/FUTx9rLbAFZFocp/f9C97xc0Oqo5ZnIzkpxkPD1Jha1kWTSprJ5lODnOVDpIkaWAZtfy+xNuxOXRCf768ElO9g/fM3PDJx5bz5/8jzf50z97m4cfaqbAn2MYDA4HOfjuJcLhBDs+vW3F+81mtZzCYYkXt8OyajrsfZtW8ZgCBDMj9McvUG5rvi8oFLphMDA+ww8Pd3Cko4/R6QjJTP6ahjNZjYlQjIlQjKsjU5zvHePN01d4eGMdX3lyKw6rGYfbRllNgEQ0hSgKlFYVYFvA0bi65LoRkmEYfO+dcws2GxmGQTie4tUPL/GTDy8zMBGat0hfKSKJNJFEmv7xGS4NjPPo5nq+8sRW7Na7r3yh6jqTkRhw84ImEk/xzpmrfP/9dnpGgnf0O+q6wXQkQVbVKPKunrd8K9r2N6Fp+k20gn3Pb6Zle928yTqbUTnxVgc/+fr7KzqG2++ksNJPJBi76fXzH1zh9DsXSMZTVDaV8sSX9zI5HOStbx7hyMunMJllPAEXL/7mE3mVI33QoOsGnUOT/OhwB8cvDzAWjJLOU3ncILfIH8tEGZuJcnV4ivaeEX56opNnd7bwqX3rsVnyTzkxDIOJUIyXj17krVNdDE2FSaTuLDsXiiUJxZL0jgW50DfKk1ub+MxDG5Y8f5NoIatniKm3N0ycyU4iCcqyqLQZVWMmOp93PR2J85Pjl3nl6CX6x2fu6HdUNZ3JUByHxUyB68HKKFutJmQ511QryyK6btDbNc7ljmFe+Nx2kokML33neC49IApzzcuCICBJwlwAWlFdQFNrGQO9k1TXF1Ja7lv6wGsAVb0MqCjmPajZDjRtCEFwkk0fwWR5HEmuJxn/a1S1B1Fwkkm9icX+BUAiFf8GklSHKBWjmLajZk5htjyNIOR+T8NIIQhmTOanUDMnULPtSHIVmfQxQMFseZ5M+k3U7FlE0Yum9QAyJtN+EMyIomfF15PIZLgwOsGJviHGIjEMDAoddjZXlLKxvCTv6lKDoTDv9/QB4DCZaC0uoq4gP7+jquuMhCP0TOeSYi6LmZbCwLKleBudtWxwNzOZnuGNscOUWoqosJUs2aurGTqDyTFeG3sXWZRZ726k2bnyJLSm63z3VAfnhsbmBRcui5mGIj8Bp2OWrnbn82ORe2GRnZ07ahkY3MLLr53l/IWhnNiGAYlUBkkUeOHZzbRtWFnCc2B0hgtXR5iaiROOJpElkUd2NqI4PkJGe4pgptq+nqyewSLZyXemc6XQdJ2LfeP81WsfcubqCNE7XITfDrpuEIolyagq6Wx2jnYzeHWcD15vJzqTQNd0+q+Mse+ZNkpvcYL+wbvnGJuOAjkq1zUe903HMAxGpyP81Wsfcvh8H9OReF5dMjKqRvfINNPhOAPjM/yDF/dRHliYUrNW0HSd6fDNi4mZaIKXj17k2wfPMjETW7Kys1wIAlQX+yjx589F1XwLX7ltXxOVjSU4vfb5FYysiieQn+AmPBXhyMun2PX0Jtx+J9/9o5/QuLmasroidj61iSMvn+bRL+xBMcv3+rG8p1A1jROXB/n6G6fo6BsjfoeL8NsfT58LZFVNW5MKhqbr9IxM8zevn+DDiwOEYsm8jgnJdJaL/eNMzMQYmJjhV5/ZQbFv4WfGZypEFCS6YuepsNXhNRUsuN10epyu6HkKzSXI4u0XJxlVIxi9WQVtfCbK9w+189KRC0xFEnlRflEkkepiL4XetVPgO3i0kyOnevgXv/kkSr4oSAs80x6vnfBMnLd/0o7NbqK41HPbfbh9dvYcaObIu5c5dugKDz/ZekeN4yuFYaho6lUyqbcRxQCaNowkVSLJDQiiB0luRFZaEUUPhh5BM0YQJDeysh6QESQ3mnoZWXkaSa5GEJzIyjogR5ESBCuSVIOsrEfXx9Gyl9HUYdTsRXRtGE3tRNfGEEUfhpEbGySpGklpRhRXfk+MRaJ893QHP71whWAiQXpWftckS7zS0cnDDTV8adtGavIUAAD0TAX5H4c/BKDY5eSXtm/OX4Ch6ZwdHuWP3z8KQJ3fxz/cv5vWkuUpGNlkC8+UHCCtZTg+c44/7/kWO3xttDjrKLYGsEu2nNEeGrFsgtHUBBfCVzk+c5bx1BTbvBt4ruRRbPLK6aWXxyY53T9yU2LSYTbxhe0bebS5Fo/NikmWlmUcuRz4FlEFc9jNfOqTW9i4oZxLl0eZDkYRRZHiQjfNTSVUVfmxrZDaVOC1s7W18iZLg4+cTO1EagAdjRLr6spX+YRhGFwdmuJPXzrC2asjcw2NdwMlPhdbGsvn1CIGr45jtpo48MmtGIbBey+dZnRgel6AUV3ixzebOVNkiYpCz008YN0wGJoM8Z+/fZAzV0dILkENulOE4inePddDJJHmn33hADXFdy+Tpek6U+H49XOJJfnxBxf432+emrfIuBNIosiudZULqnrkCz/3z5/D7XcsKAQgShI1reV89neeuOPjjPVP0d0+QGQ6hsVuJjQZJTQVoXZ9BSU1AUwWharmO9ewf5Ch6wZnuob5X69+yMW++VmstURNiY/W6uK832uarnN5YII/+sH7dPSOLUkNuhMYBkyG4/z0RCfRZIbfeXEP5QHPvO3KrDXUOlo4FXyPrJ5mu+8RKmy1mMRcxTalJeiJX+aDqTeYSI/w6bJfxSLefrGQzd5cwRififLdd8/x/ffPz6Ot3gmsZoXNDWVrOiZMBWN09U6gafqqAoyGllIqawLYZr2Uioo9fPpLu3C6c9/jp768G5vNhNmi8Bv/5CkgZ3L66NMbMZlkWtsq5qTdS8o8fOrLu3PKegUO6ppKcLmt7H+0hUxaxbWGfUILQdeGwNCx2D6HrGwhk34bXZ9G0P0IghVBuCYuIQMGgliArk2AoYOgo6tjCObZedVgNkjQgdzvKQgyCBYEQUBABAQEwYoo+pDlakyWR8EwEEQXgpgLrATRhrCA5PLtEE6m+OmFK/y4/RKtJYU81ryTUnfORHc0HOVQVy8Hr/RgNSn8/PZNBJz5qZqlVZWJWG7+lCUxr83LopATihmYydEoMaAvGJoLMD6cPsv3h1+f9zlh9n8lQUQRZGJqgqSWoivay0hygjfl9zGJJiRBREDEQEczNNJalriWJK4msEhmDAz6EsNIgkSB2YOOvmwfnfahMabjibnki9Wk8K+efYT9DdV47VYE5id01wpul5VNGytpbChGzWoggEmRsVqVVQlN2CwmwtEU6axKcYGLjq5RbFYTLrtlxdd03wYYZsnKmZk3SWhRTIKZCvvdlbu7EWMzUb7z7lnOdC2PaydLIj6njQK3DZvZhEmRyKo68VSGeDLNRChGchmTtygIVBZ62Vx/Xd42m1ExWxQKZ+V3FZO8oIrA+triucy8KAizk0/u5jAMg/FglP/4zYOcvDKY44DfBmZFxu+y4XFYsVtN6LpBPJkmGE0SjCZuu49r3Ob//9+/y//1C09QmEcq0VLQNIOpSG6ATKQyHGrv4X+/eTqvwQXk+jB2t1bndZ+3wr+E7Kog5Fzetz125xLE7gInbr+DZ37pYQLlPjRNx+N3IswqDqkZNacS9TNMjeodm+Z7h9q50De2rOdHkSX8LhsFLjsWk4xJkcmoKrFkbkwYn4ktK3EhiQKNZQGaK+dLFt4JdF3n6vA0/+27h2jvHV3WNVnNCn6nDbfDgt1qRlV1YsnU3JhwO3+OeCrD++d7kCSBf/KZhyi4pU/KKtnY4TtAWk/SHjpGV+wCdsmBVbKjo5PQYiTVODo6jwQ+SaNz47JMWTOqOhdghOMpXj9xJe/BBeQm6q2N5Xnd56146qF17NlWt+pqls1uxma/nuE0mWUKCq9XlAI3/P/SivmJIbvDgn22ydlkVggUKnP7ufb6WgoQLAVV7QJEFNNOJLkajAzp1GsIgpOFyjSysh5ZaSIa/leAgaQ0oZhyMsaC6ESUCojM/EMUZTtm24uzn7p5P6LoRTHvI5N6g0Tsv2MYYLF9EcXkX3D75WIkFOHglR62VJTyjx7dg99mmwsoW0sK2VZZxl8eOcHxviF211TmLcBYS0iiiN9mm/t3LJNhIBSa+3dEjdEd61/088IsIVIQBDQjN15F1RhRNbboZ64hpaU5NdPBhfAVtvk28EzJFiZS/WzzfWJZ5941PnVTU/cLbS083FSDx7ryRfid4ho10ZknsQFN02m/MszVgUmcNgupdIaastUlhe/bAMMiOaiyr0cWTEj30J01nVVzDd0nrywZXHgcVna2VLJ3fTWN5QFcNjOSmFNQEma9KHQ9JxGZ1TTGp2P0jk1zeXCS013D9I8F51ER/G4b25rKcd7Qu+AvdnPxlR7+5j++gj6rUrVhV/2881lswjEMSKSz/OH3379tcOG0mtnWVM5DG2tprCjE67AiiTlpS8PIBSqarjM+E+NC3xg/PdFJ58DEot9TRtU43TXMH//wCP/nzz+WN7WlpaDpOlOhOKqmcb53jD9/+SjBBfjXZkWmrtTP5vpSGsoDlPpdeBxWzIpMVssFhxMzUfrHZ+gamuLM1WEmw7E5g5sCl511lWtj0jjvmlSddCqD1WaeW+RfG2SkFchAZjMq7//oBO//8CQzE2H6Lw3z7K8coHZ9Jfte2MYb3zhCNqNi6Dq//Qc/B+QC2rqNlfy7X/hT6toq+fLvvbAm13g/I5HKcOLyIO+f713y+Slw29m7vppdLVU0lBVgs5hyz0+OrwizkrG6YZDOqoxMRegdDXJpcIKzV0cYngzNGxPKCtxsrCvFnsfei5zSXJz/+dIHtPeMLirWAeB1WNm1roq966tpKCvAZbcgCtfHBH12TBidjnK+Z4RXP7xEz0hwURpiMp3l8PlevA4b/8en9t5UZRUEAY9SwBOFn6HJsZHL0bMMJ/uIqmFERFyKh3XOLaxzb6PYUoFFtC5rcr9GkUpnVY5e7Ocbb51aMLiwmhSaKgK01ZdSX1pAid+J227BJMtkVI14KsNYMELf+Axdg1Oc6hokNGvaJwoCRR4H9aUL07ryBZfTimsJNayfZZhMezFMOxGE3CJWUhqxymWAjMny8Fwvhc35DxCwgGDBYvsKhpFLPuWqHLlFmygW4nD9Wwyys687MVmehtknVDHtRjZtRRDsiFIhstKAYWRnP+sCRKz2X0cQTMDK+yTCqTTT8STPrG+ixOW86T43yzKFTjtt5SWcGhwhGL9zX4e7AVEQcFrM5FZHkMqqTK3g3I1rkg6roDMaGCS1FEktRTgbxTD0OQW65WAmnropIfSJ9Q25a7kPeoWvQdcNJicj9A1Ms3P78vtMRFFgS0s5DVUBXA4LhgFux/LG1ltx3wYYaS1Od+wMLsWPWbRRYqu7J14YwUiCt091LUohkkWRveur+fkntubUnhQJWZaW9JwwDIMSr4v1tcV8QtVIZ1XGZ2KcuDzIofZuzveMoeo6JT4Xe1qrb/phmzZV4fLa6bk4jCSJ1LWWU7iC5jlN1/n2O2d591z3oosjiyKzc10lP/fYFhorApgVGUWSFpWXDHgcNFUE+MSOZj640Mef/fgoo9ORBbnbqYzKsYv9fO/QeX7+8S3LPu/V4hpFaiwY469eO85YMHrT+267hf0banl+zzrqS/2YFBlFykmHCuL1O84wDJorAnOqMemsSvfINAfPdvP26SvsaK7MHwd6AUyNhnj7O8c4+XYHY/1TaJqOpEhU1Bex/YkNPPrZHbj9K6sKyYrEnme3sPWx9TlFGEnEajcjm2T2PLeFrY+25gJJDBzu3CRttpn4zf/0ZbSshmy6+7KT9wOGpsIc7uhdlEKkSCJPbmvii49uoqrIO3dPLTZAX+P7l/rdbKov5TlNJ5XOMjId4cNLA7zf3sPlwQk03aCmxMfmhtK8TmTRRIrvvHuWDy72LRpc2MwKj2yq53MHNlJT7L/tOFfocbCuqpDndq/j3bPd/MkPjxBJLFwhiCbSHDrXTUNZAZ/c23rTe6IgYpXsNDg3UG1vRjNUDGZlshGRBAVFVBBYvhx2VtWYiSa5OjzNt94+w+QNFEoAv8vGY1saeGZnMxWFXsyyhDxrunnj9eqGQUtlIaqmk9U00hmNi/3jvHXqCieuDLKpoWzZY0IsnubrPzhGLJHmi89vo7L0+pjeOzjFf/2rt3l8bwtP7m/GajHxB3/+BkfP9KJpOg67mW/84a/ctD9d1xkeD/PTdy9w+sIgwVAci1lhy/oKnn10A/VVK5dp/uO/fZeuvgn+27/+7Bztayac4H9+4xC6bvB//s7TACSSGY639/HawQ6GRkMAlJV4eGJvC3u31s7JXcbiad54/xJvf3CZyWCMgM/Bi0+0sW97HdYbAujf+48/ZNfmGhqqC/na948xMBzE77XzwuMbefrAzffLjRBE200rBkFQEATPvO1E0XvDNi5gfk+QIEgIkv+W1673UQiiFQHrDe/Nn5MXOvZycc27xiTNd7TO7VvANHuvaXnoH7orEAQUUcSiKCSzWVRdv6kqsMmzjt9v/q01Pw2P4sImiRiGQVf0FB6lEAEBm+zCJi/cHxbLpOdUQ10WM2UeN9J9FFxArhLR2TXOm293rCjAyKoaiizNJY9OXRxkx8Yq3AvYJtwO922AkdRjFJorSWhRUlo8F6Xe5R/QMAxC8STHLw8sus1DbbX85vO7qSnxLbuhZy7bLImYlZxevNdho77Uz6f3r2d4KsyRC/1YTDIVt3CTZUXC5bVTWh1AzWpEwwnsLitu/+2bxgzDoHtkmr/56XGyi9Ax3HYLL+xp5StPbsXjsC7rmiRRRDLlruWpbU3Ulxbwb7/+Bl1DUws2S85EE7xy9CK711VRV7pyjeaVwDBgaCrEX752jDNXh+aCHlEQWF9TzK8+vZOtTeWYldxiabFFiiAIiCJzCwaHYcbrsNJWV8JvPLdzruFuLdBxrIv/9a+/x0DnCE6PndKaQqx2M/Fokp4Lw1w80cOhH57kt//TF2loW76DqyAIWOxmLPb5GTWTRcG0SGPXtWDjZxGGYTAWjNLeM7rg+wLw/J51/OKT2ygrcC+LA3vtnpMlIeepADgsJnwuG82VhXzhkTb6xmY4dqmfUr+bYm/+hARULSfV/Pfvnl004VDgtvOFRzbx6f0b5iqzt8ONY8ILe1qpLfXz+3/xGhOhhekLw9NhfnriMpvrS6ksulmOUxAEJGQkKT/TlaYbdA5O8LXXT3Chb+yGcxbY0VzJL39iO63VxZhuMyZIgoA0OyZYUTCsBnvXV7O9uYJkOot+G9nyG2G3mSgKuDh/+DIDIzM3BRgfnutneiZGQ3UA82zV96tf3s9nnt7CN398gsMnuufvUBCIxlP0Dk2za3MNhX4nvUNTHPqwi3RG41e/sAe/Z2U0mlgiRSicuCljrBsG0dh1OWZdN2i/NMxffecDNjSV8vjeZpKpLF29E6Qz2TkvjFQ6y9e+f4wPTneza3Mtzz5SQMeVUf7H3x0inVV5fG8zFnPuWkORBIdPXuWNQxd5eGcjT+5rJhhO4PX87IxDNpOCWZbpHJ8iq2kotzhcZzWNqxPTCIA7z0pSa4Vr9CZFEklmc6pSiez1RK7f5MVnWntRGAGBwcQl+uLn6U90zPbTwHr3Pta59y74mVwVGjDAbjEhL5FAulfQdJ14IkVqEXPexXCiY4DRiTDXxLiu9E2ysan0oxVgBMyVjCf7SKpRGlzbuRdyNVlVY3AiTCSxsGJUecDNgbY6akv9K3LJvhU5GhWYRBlFlmisKKS+LJdhurVqcPLdS7z+rWMYhoHZmhuAP/Gl3Wzc3XDb4+iGwR9+771FvR6cVjMv7F7Hb39yDyZ54UzJ7a4jd/4B/p9feZrf+qMfMLnAgsIAhiZDfO9QO7/3hQNr/mCGYileOXppjqZhkiX2bajhH356H+UFbgRBXHHsKgggzWY119JEa3xwmr/8N98nEU3yT//kF9n6SCsmswyCgGEYZFJZjrx8mr/7g1f4n7//Hf6vr/0mnhWa7X2M5SOZzjIyFSaWXFgxqrbUz8NtdZQHPHd0XwuCMLuAFTHJEhtqS2itLp5zF84HDMMgHEvxZy8fXbQnzOe08aVHNvFzj29dlWnmtTFhY20J//HXn+G3/vAHC8q/GgZcHpjgpyc6+fVnd675mDAyHWEsGJ0bEywmmad3NPOrz+yk2OucG5NXAkEQZo1UBawr1I0XBIH1jaUcPnGVrt5xNrWU4bBbSGdUTrb30VxXTIHvusCDy2HB5bAQ8C2cWBKA5tpi/r//+Lm5SmwilcGsyJy7NMzoeHjFAcZykM1qTAajmE0yj+1pZmNLzgMpZzQrzN27J8/3c7Kjn08+0cYzB9ZjtSg8sa+FSCzJj944x462asymXBO2rht0Xh3nv//fX6Si1HuNXcitj8E1l/p8qAKuBa4906u5t0vdTrZXl/NaRycAn2xbR4XXjSDAcCjMqx2dvNx+mYcbaqgPrG3SLl+49ntdoxoZhnFTBTW3pro7VfIKWwtlFY0wl4IUlpS7dZrNyKJEVstRJXU9V2Fa63HrfMcQ4UiSLZuqsNlMvHfoMulFxu5sVuP8haEVH2NjYxlb11XMJQOGJ8J4nKsL5u/bAMMwdCySgyJrDSktdk+iw4yqMT4TXfT98gI3dXcYXNyKnCIFiNLC+4xHUmw90MwnvrR7xfs+drGfk1eGF3xPkSV2tlTyq8/sXFVwcSNEQaCmxMdvv7CH//Ctt8kskN1PpLOc6RriyuAkTXluWF0I1yYdSRTY2ljOP/3sQ5T4XXm5r9by3jz4veOEgzH+6R9/hXXb6xBvyJQYhoFiknnsC7vwFXv449/9Bgd/cIJP/cZja3Y+P+tIZdR5lJobUVfqp7zgzoKLW3G7MWG1yGo6hy/0cr53bMH3LSaZx7Y08LkDbasKLm6EKAisqyriq8/u4k9+dHjBbcLxFKe7hugba6CmZO0XSdfGBFkSeXRTPb/x3G4CHvsd/3ar/XxdVQF1VQEuXh1jaCxEU20R5y4NMTYZ4RMPt+JxXudB3/p3gbPgGktdzWroRu43cNjNZFUtr6qBNy7nTSaJmooCBOC/f/1dntjXzJ6tdZQUupFuuId6BqbAgOKACwTmzqe63M/J8/3EEum54EkQoKaygOrypR3dY9kMX798mj84cyhv15ZPPFJWy/+14zFqXCtvmA047Hx+ywbGIzG+fbKdvzt+9qb3FUnkQGMtX9y2kRL33ZMCvhNousF4NEpKzS2QJVHEdhf6MhdDQgszlR7BqXhxKwEMQ0dcRPGr3OfGqshkNY1IKk0omaTE7Vxzks13f3CCq90T/Jf/+AVsNhN/9D/eIh5PL5x0MnI0qbaNK/PBcNhy9MSsqqHrBoU+x6rp3/dtgDGdHiGYGabS3rps6bB8QzeMJQdikyLflUZlyPkcpFPZ3I1kQGQmjqzkfnSzRUG+TRZd03X+7q3Ti5bty/yuHAXCnh8lAkEQeHZXC19/4yS9Yws7sU+E4hw630NjReCuBJACUFPi5xee2Eppwd3141gtus8P0rylhpLqQqRbHvI5ao0iU7u+nIZNVXSe6r0Xp/kzA1XXF80YAVhMCibl/u9NMQyDRCrD3x88t+g2jeUBnt7RjCMPBpnXKhnP7V7Hd949uyhVqn98hhOdg1QXL72YzBcEATbUlvDZh9vW1K9iOZAlifWNpZy/PMLgyAz11YWcbO/H67JRW1GwIjdd3dAZHg3x0/cu0N45zNRMnGQqSyKZoaY8j8GbYczOKdcDnnWNJfybf/wsr73TwU/evcD3fnKW3VtqePHJNuoqCxBFkVRaZXg8zP/9x68tSLlLp9U5VrQgCHjdy2syNRbs/Ls/cOuZXaMPL+e6BEGgLuDj3z77KB+01PNeVy9DoZwBZZnHxcMNNeyprcS7iF/C/QbDMAinUrzV1TP3mlmW8FrvzflPpPs5FXydcHaKescWzLNy123eRxbcfkNZEa9aLURSOXbL0e4Bagt8WBR5Tcet3/i1A6TTWQquUeINg9/8tQPU1xfN4/ikMyonTvbS3TOxomMIgkAwHOflg+e50j+Jpun84688QpHfueJru28DDEEQCWUmEBAwS3aKLDV3/RxEQcC8xKCeSGfW3HDvGi6f7ueNvz9GJpVlZjLKB6+34/E7EESBJz6/kw075ytJ3Yju0SDtPaMLDr8mRaKlqpBtTSuLdG8HWRJ5bvc6/vuPDi8o9BCOp2jvGSWVVZft3nkncNktPLa5nl3rlt+ncK8RCcZo2FyVo0UtAZNZoawmwJWzi8v6fYw7hyQKS0qCxpLpNfWUyRd0I+dAfmlg4cnHZlbYUFPMhprivB1TEATsVoWntjXxv986teA2k+E4lwcmSasaljWkHl5DwO3giS2NbKq/P3xdWhtLKPQ7uHh1jPJSL5e7x9nYXIZvhf0GY5MR/uyb7zM6EeZLL2yjpb4Ep93Mq+90cOj41VWdmySKaLo+N4cYhoGq6cyEE3hvkBgWBYHyYi9f/fJ+vvj8Ng6f6uZ7r50mnVH5tS/soTjgxm4zUV7s4ZkDrTTXFc9jQFeV+e52y+Vdx1g4SsDpQF5BZdJjs/LM+iaeWd+Ul3MwDAPNMBaVlL5J9MHIJSrvxAfMwEDTDWLpNG939fC9sx1z77kslhWZ+N3a33knC/uEGsGtBKh3bCGiTiMI4pLB6o6aCip9bkZDETTD4HunOnisuZ6qAs+akvnLSm/uT7NYFDZsqKCuZn6SNp3OMjUVXXGAARBLZNjUUoHf6yAaT80JCKwU922AYZOd2GUPsqggL0PbfC0gSyJe++IR9dBkmK6hSdZVFSJLa5u1rGws5pO/8jDJWJpELIWsSJjMuUbc4orbZ6TePNG5oF8G5KQnD7TVrYkh1MMba/kfLx1ZUNnCMAymwnGuDk2xobYk78e+EQJQ4nfx+NbGNT1OvqGpOplkhqmREMn44sFsIpoim1XJrLCh62OsDCZZxrWEM+rV4Sn6xmeoKfYhraHB2p1C1XReP9G56Pslfhc7W6ryfg0mWWbP+upFAwxdNxiZDjMwNkNjxcqVjlYCQchR2vasv38SDgGfk6a6Ys5cGOStw5dJprNsaq3AdUODpTGrKKTrxqySjUFW1eZ6HARBIJ7IMDoRpq2lnP3b6wGByWCU0cnwqs+tKOAieCzB2ESEAp8dVdXpHZxmcHRmLsDQdJ1kMktGVXPqg4rEni119A8F6R6YJBxJUhxwU19dyAenetENg+JCFzarCQzIZDUEwGxe20zw/YD/+pPD/MvnD+B35KdZXdd1klkVRRIxyctbM+mGwaXxCQZnFr4v2keu0yeTWZWL45O4rqwuQAXI6jrj0Rgf9g1ypG/gpn6ZAruNjSXLT2hMZ2ZIqElssg2P4lzROjGrZ5nOhJAQcSh2JEHGwCChRUhqMQRELNLiv4vTYubFza0MBsMMzYTpnw7xp+8e5R8/vpcSt3NJcYh84tmn2ygMLEyJE0URt8uGexWiLMUFObpXNJEieY05swrclwGGIAg4ZC8PFX7hnp6HSZYoC7gxydKCUftYMMqh9h6aKgtpKg+sqUypy2vH5bVz8uAljr3Zga/QRVG5j0CZd0GlphuhajpHL/UvKkHptlvXbIFfHvDgslmYiS1sbBeJp+gZnV7zAMMym5Fda9WqfEMxSRx55Qxn3+9cUpHI0HVi4SSltWvfz/KzDKtZocTvQpGlBZXYBiZCvHeum+oiL9XFvjV1cV4tjFnfjWMXF652CVyXns43JFGgIuDGYTUt2ig/HUkwOBla8wDDZbOwobaYykLv7Te+i9jYXMbxc318cKqb1sZSigOumyb4WCLNwEiQWCzN8FgIVdP58GwfNqsJn9tGdbkfh81EZamPzp4xfvLuBUyKTM/gFJ3d46s25NrZVsVPDnbwR3/zDru21BBPpDl5foCCG6hlsXia9z7s4vzlYarK/dgsChPTMc53jtC2rozCWQGKTS3ldG4a4+DRKwyNhqgs9aJqOmOTETwuK5/5xOa8GYfdryh0O4inM9jNplzWW8h5WqwW4VSa1y9eoaW4kLby5c2nGU3jG6fO8YP2i7fddiaZ5Ntn2vn2mfZVn+NisJtMbC4roblw+b4xX+v7AR9Mn2ZfwTZ+rvKTFFqWP7cPJcb495f+FLts41NlT7HZU8uw0MWlyFFUI0uVrZVq+9KmtU9vaKR7cpofnL7AVDTOq+2dRFNpvvrQDip9HhwWE2ZZzmuP7q34uS8u3osryyKt68ooKVk5HTyWSPPB2V5SqQyCKK5aOOG+DDDuF4iiiN9lo7EiQMcijZBHL/YjSxJfONBGU2UhTqtpVfbsy0XLtmqKKnyMDUxz4WQPB390iud/cT+7n9qw6GdGpiOMTIUXpCkpskhFwE2xb22UhyRRoK7Uz8krC6sZxFIZBu8gq7ZcuGxmdjRXrvlx8o0NexrxFi5/gCitWdtF2c86ZEmkyOukptjLlaGpBbd54+QVREHgU/s2UF/mx2YxrekksxoMToTnecJcg9kkUxFwE/DkvydBEHIUs+oiHx19C4+poVhy0XPLJwJuO2219wc16kY01hSyvrGUk+39bNtQOaf2FIolmYkk6Owe55W3zpO6oTH6b793FFEQqK0s4F/+1lMU+l18+YXtvPTWOd45egWrWWHHpmraWsrpHw5it63cqLGlvoTf+cUDvHHoEm9/0Emh38kLj28kFk8zNBYCcomcsiI37ZeHOXamF13X8bptPLqnkf3b6/G6Zv10TDKff3YrFSU+jpzs5uCxK8iySEmhm+a6mpv6TarL/fjWQPHqXqPU7eQn5zppKCpAliUkUWBvw+qraTOJJAev9GJRlGUHGAICdpMJiyzPNVvfbZgkia3lpXxpa9uarp1uhCiIKKKJUDbCaGqCh5UdbPU+RYNzK5qh4VYKsIhLZ/5lUeTX9m8nq2p891QH0VSaQ1f6ODMwysNNNeyuraTa78FuNiGLYq66uEoCVZHLsWIauSAIOJ0WnM6VB+qaplNW6GZ4PDQrX/4RqmDcT/A5bTzcVsul/vE5re8boWo6B89epW8syNM7m9nZUkl5gRuXzbImFIkrZwd454cn0VWd8rpCvvQPn6S2tWzJz3T0jpJVF65emBWZquI1zOAJOR39xZBKZ5kMxdZc4s1mNtFQtrauumuBL/+zZ+/1KXyMW1BW4GJHcyVXR6YX5C5nVY2Xj16ka2iSZ3etY0tDGaUF7jVPPiwXhgHtPSOLvm+3mChbQxEESRTwuRafvGPJDMFoYs3HBLfDurZj3yphMSt89Uv7+OqX9t30+pX+CX58qIOyQg//+fc/hW0JN3dZFmmqK+L36p7M67nt314/S7laGGaTzNYNVWzdcPuFssWs8MjuRh7ZvTRt9f/z259Y8Xk+CMioGvF0hrMDuWdRkaS5AMMwDLK6jkjOG+dar8RSSGazZLSV9UfIkshDtdXE0xl6gkFCyRThVJpYKk12BT4uq4EoCDlaVGkxv75rO3X+latrrRaSIOGQrcxkQsxkwiRn/dYC5goMDCLZKTJaErdp8YRd1/gUg8EwXrsVp8VMLJXGAKKpNK+cu8wr5y4jiyIBpx2nxYxFkVdd0f69px6iraKEqalozgvNacmJJaSyKIo0R43MB3TdwGm3YLOYMBCorSjAalE+Wk7e9wscNjN71lXz1qkuOgcnF92udyzIn/34KG+c7OThtjq2NpRTUeihwG2/Y9nXG+HyOahpLiUeTeb8JLon8Be7sTsX7xXpGZle1ERLkSVK1qh6cQ1LqdBkNZ1IIo2q6/PMg/IFURDwOK2UFnzsD/Ex7hx+l53d66o4cqGP3tGFFdIALg9OcmXoEM2VhTyyqY62ulLKAm4KXPZ7asxkYNC1SPUFwGpSKFyD6sU1CIKAfYnFcTqrEk2m0XRjRQ2wK4E0W50u8jjJqhrBSAJBgEKvk+lwnExWw++2kUhlmAzFyWZz7rZlhW5sFhPBcJzJUBxV03HazJQVuhEFgSsDkzhsZmKJdK7Ho7xgQZWka8cUBYGA18FUKI6qafhcdqYjueNrs47u5UUenDYzO1qrCMdSDE+sfcX3fkI4k8SlWD5yPRm//PA24ulM7h6ymm+iOicyWY709OO1WdleVc50PMHpwcWTAgD9wRBT0cUltBeCLIo8XF/D/rpqQskkF8Ym6Bgd5/LEFMOhMGPRGBOx3D4lUcBtseAwrbz6dQ3XjPWsikLAbmdPTSVPNtVT7Lq70rqiIKCICpqhkdLSjKZ6GE508VDh5xAQ6It3YBgGm0yPLrqPP3j9fT642r9k4KfqOqPhKKPhO6vIRmbFhH786lmKi9wceKgZm83EocOdtG2sXLQPYzVIZ1QGx2aIJTLUVfhz/cWrFGf7OMC4DURBoLLIyxcf2cSfvvQBU0to4OuGwdXhaa4OT/Oq9xLbmsrZ0VxJTYmPYp8Lj8OybLfvxeD222loqyA6k2Cga4zzH3ZTVOGjtHrxSLt/PDRnaz/vnHWD0ekI751bwA02D7jWyL0UsqpKMp1Fsa1NgCFLIkUeByAwEY6RTGepuo9414ZuEArGGB+aIRZOYAAOl5WSSj8ujw1xNusxOjDN2GCQli1VjA1MMz0RQdd0bA4LReU+/EXzfT1SiQzjQ0GCk1HUrIrJohAo8VBQ7MZkvnea4w8yRFFgXXURn9zTytdeP7lofxHkxoSL/eNc7B+nvMDNjpZKtjdVUFXkpdjnxG2/BwsngyUDo6ymz/WSrAUS6Swz0cSS26QzKqlMNi8SuQvBYpIpcNuRJJFINMEH53qRJZHnH1rPmc4hpkJxHt/RxKlLA5zrGsFiVvA6rTyxowlJFDl4qovxmRiGDsl0hl98dgdel5W/fOkYW5rKSKZVZFmgusS34JgfS6Q5crYHk0nmuX2tnL48yEw0yeM7Gjl0upvJmRguu4VYMs0nduekgj9i6+tl483hTj5T3XavTyPvGAyGOT84RiyV5oUt67gwPM7W6hwbIZRM8ofvfMC6kkK2V5VzeXySf/K9V7GZTCiLrCFUXSeRWZ3IhygI+Gw29tdWs7+2moyqMRAK8cP2i/zlsZMYgMts5onGOnZWrV5tUhZF7CYThU4H1T7PHfWc3Al0wyCrZzEAHR0BEQEBzVAREDCM29OCYunMbatK+UbHxSF0w5hbz/3ZXxzk9373GQIF+fTgMECAy71j1FcG8Lptq/a5/jjAWAbsFhN719cwPhPjR4c7GFvCfO8axmaivHLsEm+cvEJTZSHbGspZV11EZaGH0gI3NvPqSk7jg0E6PuzGV+hm/Y46nvzCLty+pfmp46HoojJ04XiKv/7piRWfRz6h6caCDbP5giQKOKxm0lmVM93DDEyF+fUnd6zZ8VYCwzAY7pvk3VfO0nG8h3gslVNRsZrYtLueRz65haLynCLR0bcu8L2/eJdf+5fPcfzgJSZGZshmVAwdtuxr4IWv7KWg2DO371gkyen3Ozn80/NMjITQNR1REqhsKObRF7bQsqUKs+XjIGM1cNutPLq5nulIgp8cv3zbIBpgaCrM0PvnefXYJdZXF7G1qYJ1VUWUB9yU+t1YVuj+vFoYwOhMZNH3x2ei/NnLR+/KuSwGTdcXrbrmA7IkLlpFuXHNoOkGFUUeqkt8lBa68bltjE1HOX5xgEe3NVLgsfPtN87QOzKN21GOIAiUBTw8tKXujs7PaTPz1O5minwPhmnacpBUswwnwkQySbK6jlVWqHH6EBAYjM9QYffiUMxcnBkjYHFglmT6YkG+cfUUlQ4vJlGizVf2kalkvHTqAoIg0D4wxtMbm/ibQyfnAgyH2cznt2yg4AaFKb/dxoHGWkoXMdIbj8R4vzs/MuUmWaLO72N7ZRnfOdNOJJ3BalLYWFrCc63NeTnGvYKqa0xnZphMzyAJElbJglmyoRpZOiPHEQWJqBqkyFy95H4kUUC+S5TXa7e8oRvoms6CDbV5gigKWM0KHqcVp92Mw7r6HsKPA4xlosBt59P7N2C3mHjtw0t0j0wvSw86o2qc7xnlfM8obruFDbUlbG0sp6k8QG2Jf8XOsa3ba2ndXrvs7VVNJxxLrVoF4G5A1w1UbS0fGBGHNbeY0A2D6UicDztzEnklPhdVAS8zsQQDkzPEU1mcNjNVAS+xVJpgNEk0mcJhNRNLpikvcFPqczEeijE0FUbVdHwuG81lqzMLDAdjvPG9E5x49zIbdtayflsNoihy+dwAb790mmxW41O/vB/3rKttKpHh+3/5Hlv3N7L/mY0YhsHJdzt54/sn8Be7+eRXcrztbEbl4qk+XvraYTx+B898aRcur42Rvine/0k7P/76YRxuK/W36d/5GIujPODhCwfacFrNvH6yk4HxGbLLWBSnsyqnuoY51TWMz2llc0M5WxvLaSwvoKrIh89pW9NstapphJeoutwPuC7BujaQJBHrbAVPFAQMcmOlYRikMirpbK7hdd+mWjq6R7k6NMW5rhGe2buOdEYlkcpyZWCS8ekorbXFuB1WBCG3r4oiz22PL9xyzOQNxwQo8DqWpJE9iAimE7wycIG4mqbA4mA8EeWpima8Jhs/6jvP52o3U6+Y+WF/O/uL6qhzFXA5NM54Msr54Cg2WWGjr2zRZKoiijR4Cni6qpG0ppHWVNKaRubaX1294XWVjKaR1bV7Zs03OB3m9557mK6xqdzcccOJuK0Wfmn3lpu2L3Y5+fyWDawvLVpwf5fGJugPhvJ2foIg4DSbKXG7iEwsTqlca+iGTlxNkNBSN72e1nMqdCktzVRmZlkmi1k9y2Q6yLuTHxJVYzhlB4VmPwWmUqLWWvrjFzCAIksVZbaGJff1SFMtdYG7o0pZPBtUlhR7uNQ5yuGjV/F57WRVjStdYwiCsOic4XZZaWpcvkpnJqsxOhnB5bAyE0kQiiQpCbiX9IRbDB8HGCtAgdvOi/vWU1Xs5Y0TnZy5OsxocPHqwK0Ix1McPt/LkY5eakv8bG+qYEtDOU0VAcoC7jVRmkmmM3dkjHO3sJYOrIIgzDmuZ1SN0WCE7rFpxmai+J02XtjZytmeES4MjuOymokmM2yqTROMJRiaCjMZjuGwmslkVWqKfBzYUMvrZ64gICAKMNQR5jc/sQu/a+VKJ1c7hjl79CotW6r47K8doLAsR93asr+RcDDO+6+1s/PRdThvMNqqqC/ky7/zOObZoKm6oYRThzu5cKJ3LsAIB+OcOtSJphl86lceYv1sUJrNqGiqzivfPEpXxxA1zSX3tV/D/Y7SAjeff6SN6mIfb52+wtnuEaZC8WUH9MFokrdPd/Huuas0VRSyvamCttpSGisClPhW7py6HCRS2WUFQvcSBmuapEMSxTkjP7MiY7eauNI/wZFzvfSNBrGZFcBgZDJMVtUoDbj5oL2XWDJNRZGHDXUlVBR6cNgt6LpORbE391sJLCs4tJhyx+wanOTIuV76R4M30cFu3YWq6XT2T3B1cIrJUIxTl4fY1Fg6S53K3z2iqhqXzg4wPhSkrLqA2ubSvFY5NUNns7+cT5S38JedRxmIzWB23bwMMYzcfBCwOPhMTRtfu3KCX27cedv50SwrPFpex86iCuLZDPFslriayf1/NUPiln/Hs1mSapaUliWtqqRuCD5St/xNayopNffvfKHU6+J49yDBWJL3LvdQ5ltcWMFjtbKpvATfEr5cZllGyfNY7rKYKXO76LyHAUZGz3I2dInz4Zt9ewYTo3N/fzr6HhZpaTqlAaS1NKOpCXrjgwD4TW6anXWYJCt1js2UWOvQDBVFMKOIS6sv/cq+bau/qFXiof3N/PClk/zgRyeRJJFkMsubb1/gg2OLe5OsayldUYDhtFvYsQyRhuXg4wBjhbBbTOxpraau1M/RC/0cu9hPR98YE6HYsgMNw4DukWm6R6Z558xVdrZUsrOlko21JZQVePKavUxn1dv6ZHzUIQjM6cgLgkCp38UX9rdx8uoQJ64M0jseZHAqREt5IY+1NfCTU5fpn5hB1XVKfS7K/C7C8RSVAQ9dI1P0js9w4sogT21pwmk1c6JriMGp8KoCjLGhIKGpGLXNpRTcoFdtc1hoaqvg9OErjA5MU9tyXU5zx4FmlBsodjanGbfXTmTmOk0nMhOn5/IIqUSa88d7uHpheO693s5RErEUM5MRMqksVvva8Nx/VuCyWXh0cz2NFQV80NHHh5cGuNA/znQksexnT9MMLvaNc7l/grf9XexcV8mO5krW1xRT7HXldUxIrZKn/VGCAHOKXmaTQnN1EYlUhvFglMpiD+UBDxazQjSRZmw6CgLsbavJqYHZLDy+vYnz3aOMTUUwMDB0A0GAvRurcdpvLwtpNim0VBeRTGcZD0apKvFSUejBYpJpqAhgMck3+SoZhkEwksDlsGCxyISiCTJZDRZfb64K4WCcH33tMKeOdLFtfyO/8fvPEyjOn6KYJAhzgYIsSBiGgYhAVtfRDR3dMAhlkjcF6Jqhzyagln4IBEARJTxmKx7z8r4Y3TBIqtm5ACShZkioWeLZW/6qGQajYf6+qx3VyE9w/sT6Bo5dHaDC56ZvMsjzmxanHlX7PXx5exsFjsXnGI/VwkP1NVT7l9dfmIynsdhMSwaoztkA415CN3TGUpMcD54jribQb0lGjqenGE+vPAByK062+TZS76wilp2hP3GRhBrm2n1WZm24bRXjbmPblmrsNhO9fZNEoikGh4KsaymjvGzx37y0xHP3TvAWfBxgrAKiIFDic/HCnla2NpZzsnOQM1eH6egdYzQYWVQSdiFMhGK8cvQixy72s2d9NQ9tqGVrYzmuZUxSy8H9nqm82zDJEj6HDUkUkUURSRLJahrCrAsu5H5ffdYp16zkFMCsJgVFltANA1XTyWoa4XgSTdM5sKEW3xIqXkshncxiYGCyKPMkTO0uK7IiEQsnc7zLWfgCty44BURJvGkbNasRj6aIzMQ5f7xn3tzcsKGcwD0ceD5qEEWBykIvpQ+72NpUwcnOQc5eHeFC3xjjM7Fl0310w2BoKszI4Q6OXRxg7/pq9m+opa2uJG8Nz1lNX7UqyEcRggBVxd4FJWu3r6tk+7r5/jm15X5qy+fTI57fv7Q5103HLPFRVTJfmnNLc/m81xRZYv+mxamxmqYzNRrC5rDcVO1cKXRNR81qGAbompH3MlJK0zgfHCWr64wmI+x311Jqd2OSJI6M99IdmSaUSc7dniICpTY3P+o7T4HFzsMli0vkrgaiIGBXTNgV022DtQvBcX7YcwF1BfP7UpiIxPDYLGyrLaeppICGosVl1B1mMw7z0s+/12bls1vWL1tI5sS7l9n/zMYlt3Ga732AYRJNbPG2YpHMjKUmGU9NM56aYioTJKNnkQUJRVQQl9GJLAoiNslKkcXPBncz+wPbsUoW+lJX6Yufp9RShyTkKnayeP/1J8qyyIb15WxYnxsj3ny7g0cPNLN9a+2q3bbXEg90gLHWZfTbQZZEqoq8lAfc7FpXRUfvGOd7R7nQN073yNSiTrW3wgAmw3FeOXqR8z2jPLG1kce3NubFdfp2xi6KJFJa4EaR7x1NpqzAffeapWAeh8HnsFHsddI1MkUkkWYkGKGpLEB0VhruVpT6XWyrL8duMWFSckFHkWd1zZhma64SkUll0XX9piAjEU2hqRo2p3lOSQpAVm6vtiXJIhabmfJaK5/7jUewL+CK6yt0YfqoNXkba0m2uz1kSaKhrICaYh+711XT0TfK+Z4xLvaP0T0yTSqzPIqFrhsMT4X54eEOzveM8uS2Jh7ZXJcX1+nbVUMsJplin/OeupAXe50fU/eWCUM3mBoL8a0/P8jWvY3s/8Tipqu3g7fAydOf38H6bTU0tJbhuoNgZSHYZRMGBlldZWegklZPMT6LncdKGxmIzaDqGp+sXE+t048k5LT9f7FxB6OJMFn9zqi+Y6lh0lqaQksxVim/17UaZFQNURRQdZ0PugY43NnPVx9dvfiIIAgLqjL1XBohHkvNe/3tl07fNsCwKgotRQEea6jFY7VScpflZAFkUaLOUUWtvZKElmQiNc1IaoKXR96mK9ZHpa2Urd4NOOSlGQQCIAkiNtlKsSVApa10jlZlGAZepZhN3scRhQdn3FnXUobddv8qzD3YAYZuLGh+d7chiSJlBTklmB3NFXSPTHN5cIJL/eNc6BtnZDqyLEUUTTfoGQ3yzbfPMDQZ5jMPbaCtrvSOOLYmRVry5nM7rPzcY1sovIdOqR6Hdc3kKG+ESZZoKA1Q7M0NkmV+N7tEgWJvTi7UZlIIJ1JsrC6mubyQSCLNtVRvRtVwWMzYzArFHidPb22mc3hyLjO92t+ouMKH1++kv2uM6fHIXFUhGU/T1TGEYpIpqfSjLCOouBEuj52apmKunB8CI1exuPEcNU0DhI/cIu5a5eleQ5ZEqou9VBV52dVSxdXhKS4PTMxJ1o4Fo8vq08iqGpcGJhgPxRieCvOpfetpriy8ozHBLMu52XaRwxd7nfzCE1vxO+/dIizgcWD/WEZ5WdA0nUtnBjj0Wju+AucdBRiyIrHr0XXsWlz+/45gliSa3IXzKhHbA5VsD8yvFAE8XHJnilzX0BE+S1JLsEc+cF8EGE6LiXg6QyieJJJML+kDZcwmTgRh5V7QR97omE043SwaEJqO3fazoiDQWlzEP3poD5IoEnDcu+9NEATsso0ah41qezkXIl30J4YptRbxaOFuCi2rT8iKgsh0ZpjjwVexSk4EoMhSQ5ElP70Ia4UXnttMSdHamaLeKR7oACNHV7l/GpgFAbxOG9uabGysK2V0OkL3yBSdA5O0945yoW9sWVWNaDLNO2euksqqWEwKzZWFqz4nq2lpOVyzIrOxroTG8sV9ND4qUGSJ2uLrlIRir3Mu2HBazRS6bzYXK1igp6J81uHYbjHlxUujrqWMtt11nDnSxcv/+witsypSXR2DdJzoZccjLZRU+m+qYCwHbr+dbQ8303NphB9//TBTYyEKij3ous70eARN1diwo5by2tXfW/cjNN1AXWMH2pVAmHWyL3Db2dJQxuBkKJeAGJjgfM8oHX3jN6kHLYZgJMFPT3SS1TR+4Ymt1JasfjK1mpUlFyl2q5lN9WXUFN89Z92PsXpoqkb7id57fRq3hdtkYVdhNT7zvVmkTmWmkATxvslQn+kfpXcyiEWR2VxVyvba+dS4a+idnuFgZw+PNdct2mNxcXSCi2MTbKkopbbg+rNrsZqoay3D4795frtwqm9Z5+mymHFZ7q/1gSAIFJh9WKX8UMntsge/qZSslpr1xABVXx4D5V6ipWn5zdv3Ag90gKFqOullUg7uNkyyRFVRLoO5vamC/vEQXcOTnO4a5vilAabC8SWpHMlMlg8v9eN1WPn1Z3cSWKWzrlmRsFtMiyYsNV2fzdR/jHsBT4GDxz61DUESuXymnwsn+2azywY7Hmnmyc/uwO1deXXJZFZYv62G5C/s5dhbF/jp3x+f6zORFYm6ljLWba3J+/Xca2RVjcwyFuz3AiZFpq60gLrSAnY2V9I3PsOVwUlOXBnkxOVBwvH5NIYbEUumee9cD36XnS8/thnfKisMFpOMzWIiushzr2oasUXogR/j/oJhGKTTKh0PQIDhUMxs9JXefsM1gk2yoerqfSPZ/nBLDa1lhQwFw3SNT3N+aIx/86nHF9x2JBzh5fOXaS0tWjTAGAlHePX8ZdwWy00Bxt6nNuAvdM6pDl7DM1/cnb+LuQcoNPuwSflROfAoAdo8j9ykZmkSV7fvrKYxNBOmfzrEZDROIpMllVXRdB1ZEmkqDvBw4+rm3jPn+rHbzNRUF6AoMsFgDIfDgjLbK3q/4YEOMDKqRix1/0eZTpuF9TXFNFcWsrWhnEc21XPsUj9vn+5iJrq4Hn0smeGDC320VBXy4t4Nq+LZiaJIgdtO31hwQTqZqulML8Mk7GOsDQRBoLK+kOd/bg+bdtUTmo5hGAYur43qhmK8ha45GtPW/Y14/A7Kam723LA7LXz5d55AuqWPxumxseeJ9VQ3FjM2GCSZSCOKInaXheIyH4Xl94+beb6QyuRc4e93uB1W2hxW1lUVsaWxnEfa6jlyoZf3z/cuuvAHCMWSvHeum+bKQh7b3LDqMaHQ7Vj0OOmsuuS49LOOUDCn0NbfNc7kWJhkLI0gCtjsZorKvTS3VVK/bmFq69hQkIOvnGV0IMjGHbU8+sLmRZszX/7GUbouDFNeE+DxF7fgC1znv7cf72FkYJqJ4RlGB4OMDgUxDINjBy8xNT7fRLG5rYKnPrt9HiVS1w3e+fEZ2o/3zPtM/bpSHnl+E0738gLZVDJDz+UxrpwfZHI0TGI2YLbazXgLHJRVFVDXXEpBsfumserEoU5OHb7Clr2NNG8s5+T7V7hyfghZEdmyt4FNu+rRDYPj73Vy/ngPmqZT11LK7sfWrahHpNnZyqmZY4ymhnApbpR73MTbMThGIp3FpMiUeV2z0sirhyJJJLIqafXmBEtpVa7amc2oyDcsRNt2Ld9P635EubWEje4m/GYvpjv8LeNahCvRE0ymBtGMLCbRSrNrJ1X21uXvI53hw95B3u/qZ2gmxFQ0QTSVJqNqZDQN3TCwKjLPbGhaMsCYiMaYjiXnFAiL3U48VguiKPDm2xeorPBTWupBUWT+11+/x6c/uZWG+oW9Ue41HugAI5XJErrPDaNuhCyJVBbl5AhbKgvZ0VTBj45c4IMLfYt+ZiIU4+iFfnavq6Z4la6uFQE3Z7qG0RZokstkVYanwqva78fIDwRBoKDYTcFt5CCrGoqpaiie97rZorDrsXULfsZiM1HbUnqTzO1HGfFUZskF+v0GRZaoLfFRXexlXXURO5orefmDi5zqGlr0MwMTIY5fGmBTXSkF7pVXtwQBKos8dI9OL/h+Mp1lfCa64v3+LODEoU7effUcA1fHCU5FiUdSZNIqggCKWcbptlFa6Wffk+t55gs7kOSbefWRmQTH3+3k8rkBFJPEoy9sYjH51XMfdnPkzQts2F7LnsfX3RRgfO+vDjHQM0EslCQRT82JnfR2jtHbOTZvX9mMypOf3gbzaP4Ggz0TfPjuJZLxDNkbGAHxaIrdj7fivA3F2zAMwtNxXvvucU6818nkaIhYJEk2o2IAJpOM1Z6T0t64o5ZnvrCD6sbr41hf1zjvvdaOJEt0XRji8E/PM9w/hSiJnD3Ww2//azPTExG+8advMzowja4bFJV6CU5E+MJXDyybPioJMhk9w7uTr3Mhcg634kEUbv5CHi54HHOeaDe3Q2NxgIFgiHgqQ1NpgLbK1dNdNF1nLBIjlc0uKpjy6reO8dgnt8ypjMnyyvr67jeUWAI8W/IIsihjl++MdhfKjBNMj2KX3cTVMLJoIqaGlv35i6MTfPv4Oc4NjtE7NUN2Eeq+qmmkblNhvzgywY/OXGQqlgDgydZ6ntvYjM9uY3gkRGHANUdHOX6ihwMPNWMYy/PfudvIT4AxazC0GHTDQDeM+WPbHSKeyjyQ2XdBECjxuyj0OCgPePC7bLx89OKC26qaTt/4DJcHJ1YdYNSXFSBL4oKGe+msSs8iC42PsToYehSS38HQphFd/2L5H9SCGKmXQAyA+SEEcRXygIaKkT2HkXoZwfJJBNPmle8jLxBYqpNY03V0A/LNho4kUsw8QEkHyI0HkiBQWeih2OekPODm2++c5a3TXQtun1U1uoan6B0Lri7AABorAhw8273g+7FkhoGJ0Ir3+7OAdCrLxdP9JONp6lpKKK8N4PbZyWY0xoaCnHivk/MneglORimt8rN1X+OanMcTn95KMp4LpGPhJH/xn19DMcls3dvA7sfnJxtKKnwLLsQFQeDxF7eycUctalYjEkrwvb8+xMDViWWfSyqR4chbF3j5G0dJxtPUNpew/xMbcLit6JrBzFSUwe4J+q6OE4+lFlWuO3v0KqIosH57DW276nj7pTN0XxrhB3/zPpOjIYrKvOx6pIX2Ez1cPjvI0bcvsueJVqqWmb0dSPQynZ4kqkaYyQQxieZ50qZ7/A9j5u4EGKmsSvd4ztTxrY6rhOMpHlt/vfk9mEjygzMXiKXTDM6EmYzF+f6ZDo71Dty0H8OAaCrN2aFRXBYzAefCY8JQz+RNAeSDDrNkosw2P+G2GmiGik12UWZtIKoGZ6Vql0ele/vSVf7u2FnODIzOqx6tBm6rhelYglP9Oe8qVdfZVl2Oz27DpEjMzMSXJRp0PyAvAYZATklpsYvOZDVUTbvJOCgfiCbSjAQf3EybJIk0lgf4ypPbGA1GONm5cNZyMhSje3iKA22rU9NoqSxCliRgPnUkk9XoHw8RiibxrNLL4WcRRvoQyE0IYgBubRo0MhjZdlCHF/7wokhhZDtAqkAw7VzlmemgjUP6AzDdO46tKApIosBi42A6q6Jpet6lUGeiSSZDD17SAWZlJhWZjbUliILARChGe8/ogtsOT4UZnAixvaliVcfZUL14tjSZzjI4ESIST+XNj+ejgtat1fz87zyG22enoNiNw2XFZFbQdZ1ELM2mXfX86f/vJSZGZnj/9fNrFmDserQFZm0qpici/MV/fg1ZFqlqKOKR5zbN214QhQWpWIIgUFEboKI218QbiyR5+6XTKwowYtEUx965RDScYMP2Wn7ld5/CV+BCMcu5HpFkllgkyeRYGF/Auahx30D3BJ/71Yd47MUtmC0Kmqrz0++d4PQHXVTWFfGr/+xpnB4bzW0V/Kd/9m1CwRi9nWPLDjBaXW1U2qqX3MaySt79anDwUjePrqujyO0gmszwzaNnbgowBCCra5wfGadzfJKZRJJ3OrvnVSgMcuuvSq+HFze10hBYWACisr6Qi6f7qWkuzlUvBIHCUs99yd2/21BEM1Yp1+c6muwhrSWWRY862j3AXxw6QcfIeN4UTRsKC6gq8HJ6YATdMOgcm2R4JkxjoZ+G+iIOH+0i/j/fxu+3k0hm+Mnr7ZxtH1h0fxVlPp59um3R91VdJ6VlyOgaZlHGIitIeRJCyEuAIYoiiiwtqoaSzGZJZzXyqUSqGwbBaILBiZn87fQeIGfQ5eGLBzZxqnNowZg5lsoweQeVmvqyAgo8dqKJ1Lz9G0AwEudsz8iqA5ifORgpjPhfIzj+AYh+8paHF/0Ijt8CLCDev9Jzy4EkCsiytGDVDCCRzpLVNMx5ZGnqusH4TJSx4HwO+oMEWZJorAjw3K51nO8ZXXBMCMeSd9Qn0VQZwOOwEFpAH183DMaCES4NTLCzZWHp0J9VeHx29j6xHsUsz+tncHvtOFxWfvrd43S2D9JzeeHgMB9QlNxzYxjGTb44oiigmFb/TImisGKuhaZqREMJRFHAV+CgrqX0ZtNQLxSWenKBgMCi0tiiKLBlbwMl5blqy7aHGnn7pdOkk1m27W+ksq4QwzCobiwmUOIlEoozPb58em+hpZhC8pPxzgdCiST1RQX4HTY0XSecuPlZdFrMfGZTK4801nKsd5DvnGznM5vX01x8syGfIAiYJAmXxUKJ24nTfHMz9zVMjYW50j7IuQ+7EQUBSRb59d9/bs2u70FCobkSj1KEJEgYGKS1JKXWpddDQzNh/urwSS6MTtwUXNjNJnZUl1MT8FHotBNNpfnTg8eWfS52s0JNgRePzUIwniSVVbkyNsX26nKefboNw4CLl4bp6Zskm9XovDLO4FBw0f3F4+l5AUZcTXMuOMjhiav0xiaJZdPoGDxa3MwnKzZRYMmxZcKZJNFsKifba3UhiysrEuRldldkEbtFWVR5ZCaSJJpI43HkLzsQS6TpGQkSX6aZ3f0MWRJpqiyk0OtgfGa+NrWm6bkFmbq6KpDVrLC1oZyB8ZkFq0wzsSTvt/fw0IaaeW7SH2M+jGwnqL1g5JnrL5gR5Pw61d4rmBQZm0kmsYgIw2QoTiKdzav/STCaoH9shsQD0OR9O1hNCo0VAfwuG1ORxLz3s5pOMpMhq2lL6ucvBEEQcFjMbGko550zVxfcZjQY5UTnANubKxA/znDOQRCEeX4CN75ntiiUVvq5fG6QZDyNqmoPPNf9djCZFcprCrjSMUjn+SHe+MEp9j25Hofr5vn+VhGKW+H2OXC4rXNUrkCxB0EUEQSB2uZcxU0Qct49TreV0HSUZGJ187+ma6T1NIooIwtLS7mvFRqLA/zVuyeoKvDQPx1iXenNkuGyKFLodBBw2Emksxz3D9JaUsjOmvlVS4HbezE988VdN1GkVnPJumEwk0jSMx1kIhYnlk6T0fS5huQ7QanbyeON92b+U0QzsmhCRKLS1kLWyKAICz/n1/DSmYt0DI/NralEUeD5jS18dut6ilx2bCYTJlmif3pmRQGGIAhU+TwUOGwE47kkUtfENNFUmrJiD5/7zHai0fVksxq/96/+ni98djutrWWLmirbbhmv+mPT/H3/Cd4du0IwHSOhZtBn01hNriIyN/TqXgyP8LdXjxDMJPh3m16kwVW4IpnnvAQYJlnC7bAuuDgGGJuJEowmqCj05ONwQK75+dSVwXvq2psv5KgREm67ZdHvUNf1OzIQe3pHM68cvbhggJHOqJzvHeNczyib68tWfYyPOozU6xjptyBzAfRJjMi/wRDsgACCBdH/Ta53UQqAipE5iZH4DmiDIPoQzA8hWD4Bouf6ftMfYCS+BdpsmdPyLIL10wjS9UyVkfgORvYcgu0rkPoRRuZsLiBRNiLYfh6kpWkChtqDkfgmGEkE288jKC15/Gbmw2pScNgsCy6OAYYmQ0QSKQpXKb+8EAYmQlzom9/g+iBCEAQsioxzie9Q1w0M3Vigcff2kCWRZ3a2LBpgxJJpznWPcnlggnVV96dCyb2CoRsMdE9w8Uw/A90TzExFiUVTZFJZ0skMo4O5bKJh5Lb9qMPlsfHoC5s5d7yHscEgX//jN3n31XNs3dswV3m4tdl9IThcFqQbgmWzRcktggXw+G4YJ2az74YB+gq56BOpUT4MHuZK9BJJLcFTxS+w0b2VjsgZnLKLWnsjsnh3tG8+s3095wZGGQtH2VpTxqZFmrwFQSDgtLO3rhqvzbrqgF9TNdQbKsorCaoyqsaFsQl+1HGRs8OjRFNpspqGNttfmw/sqCxfUYDx2uhBrkTvXJ65zlHFJk8ZE6l+tvqeQhZM9ETOYWDQ7FqYqjwYDHP4aj+R1PUk41f3b+dz2zZQ7HLm2pJnv1+LsnKFqyKXA5f1Oj11OBQhkVFzVUKvHd+sdL3f56C01Et9bdGianQ3YiA+zf/uOcqrQ+3E1Ny5L9UtWeMoYDIVoys6zpHJq1TafVjlpQOvG5GXJ8lmNlHkcXJlcHLB93tGpxmeCrOxtiQvmYJ0VqVzcJKz3WtXgr7b0HWILpGNkSUJ+TYZoKWwrrqI5qpCznYNL0iTGpwI8YP3z9NYHsBuWf4N9DMFqRLB/DgGNkiNguUpkOpmezBk5ikdaEMY0f8Gcg2Y90K2EyP+1xhGHNH+y8xRq5R1CPZfhewFjOS3QRtjXr+MPgXpDzDUyyBVgPlh0CYwkj/EUIcQvf+FxVaahtqPEf8aqF25AEVee/8Lp82M32Wjb2zh0u3lgQmmQnHqSvx5GRMS6QwX+sa4vMgY9CBC1XXiS8hwy5I021u1coiiwMbaEupKC+gemZr3vmHkfqOfHu+kptiH9WNXbQBGBqb54d8e5szRq0TDCTJpFU3V5iobikkmm71/zF/vBiRZpHVLFb/7Hz7Ly984ysn3r9Bxopfui8P85LsncnK3z21i485a7I7Fe3pkRbqpne3GcUExXb/Pb8zWr2RpO54a5ZXR7zOU7CdgKmIiPUZcjWOgM52epD18inJr1V0LMLx2K7vrK8moGookEk0tXhEvcTl5YWMzZnn153bw5bNMT0TQdYPRgWlKq/z8o3/3mdt+LpZO89qlK/zNh6cZiURIrpHPUDS9MkZAV7SfY9Nn7/i4qqHT6gqQ1HI0dAGBtJ5YsipzfniMiWhsTr1tZ00Fn9u2gRK3My/zmd9hw2m+Xt2fiMRIq/Mr83t3N+Dz2pdVjUqqGT6Y6ObVoXbSusqOghqeL2+j0VXE3/Uc4+Whc/M+E7A4qXT46ItPcXq6n89UbmUlPKS8PEkOq4mKwsU546FYkvM9o2xtLKfIuzolpBsxNBnmx0cvkMo8+FQIyCnqjAbDTIQWbli3mhV8ztVnLiBXZfqFx7fS3j2yYDNSOqvy4aUB/v7dc/zik1s/pkotAEGux5BrEfQYRup1BNN2UHaAcO0xuvH3MQAFwbwPbF8CZFB7MOJ/DpmzYBkFKVctEgQ3KBswBBuk31z8BIwoSFsQnL8LgifXCyJYIPUqZK+C0nTj2QIihjqEkfgaqJcQbL8ElkcQhDw2Qy0Cj8O6pOrZVCTOue4RmioK8eZBXKBzYJK3TnUtyxX7QUBW1RibjjAdWbj3ymE14bZbVi1NKAgCLpuZLz7Sxr//xtsLbhNPZTh49irVxV5e3Lf+Z54qNTka4q/+y084fbiLbEZl+0NN7Hq0hZrmElweG6IkomY0/vIPXuPo2wurAi4XWp5oJ3cDgiBgsiis31pDVX0R/VfHOfTT85w81MnowDRToyHOn+hh0+56PvNL+6lvXbhKLgjCojSPfNx6HeEzpLQkny77MtW2Ov5Xzx/OvRcwF3M8eATVuLvjh1mRMSsymq7ztcOn+WfPPLTgdrIk4pTubNz+5Ff2os1WfNKpLF//ozdu+5mMpvFedx9/8v6x3IL6js5gcQgCK6Z6qoZK9g5/L0VQsEpmwCCrp0hpCSRBIq0lUcTFE60XRyaI3pD8eXHzOgoctrxR7exmE2bl+vL8/2Xvv+PruM47f/x9pt3e0Xsl2HsRi6hebUuucreTrBNv9pu+2Wyyu9ns/rLJJluz6T1xXOImW5YlWb1LFHvvAAmid1zcXmbm/P4YACRIAATYJMX+UHyJuJh75kw785TP83lS+cKs7JNPfHQTxgJrrnoy47w11E7GLHBv5XL+zdI7qfFG0BWNoD67468KhXpfDJeicS45jCkXFzy5IQ5GyOemtbp0zjSLlPDq4Q7WtlRzz/rW61KOGY6n+O5rhzl4drEKPYuDlJJ80WnaFbnGjrkLRa5g8sRbx+dUIQj73FSVhK775t22op6NbTXsPtk96+9HE2m+98YRvC6dj+9cPWcx3vXCObfW5Ll9HylXCd25x4U+6UvojrEu5niMlCi4H0BM0qGkWo3QmhwZWXscMelgOG9PFYTO/AXjEuF+BJRyhNCQ0oUw1iOzjyOtXsQMB0MFO47MfA0KhxG+nwH3vYir8EpvFMrCPhrK527kJyU89c4J1rVWs2FJDep1OLQXBsf53htHOHHh5tKjbCnJFYoUTZvQTVZXGktkeG7fmTnXhJKQj7KI/7rWBF1T2bGqkVWNFRw9P/u56xtN8M8vH8RjaNy/qe26rtN8sKUkly9iWvZ7Vrnq9R8d4eTBLnLZAp/5N3fz4Mc3EYr60XSnTkAIQT5XnFF0fa0o5IqY5vtDihIc50DTVcIxP8GwlyWravnEz+zk8O5zvPD9/Zw+0s2bzx1D2pJP/eu7aWi99bS74fwQ5e5Kajx1+PUA6iXrtl8LkLEyMzo53yw8fejUdI+DKUgpOdDZt6Dvy6vQkpTJe/FyBC5pSiilJDE+O/XyUnSMjPKdQ8cYTM5O3b4eKEJQEwpyX1sLtzXUsrJicffE7aWbafJdXYQib+dJFNN0Z/o4m+qkKE1iRphP1D7M2vByfKoHU2bozpzi653/FSEUKtyNbIo9NOeYI6n0tCStoaqsrqlYtIM0HwxVnaEWljdNrFmuuc/nQkrJocNdvP1OO0PDCVRVoa42xm2bm1nadpF2N5xLcjoxQJU3zI7yFhr9JQuqpyh1BdAUleF8atY5zIcbVOStUlMaoq48woXB2VWdhsZTfOvVQ5RH/axpmr3L6dUwMpHmr5/ezZNvHbvpOsC2lJzuHua3/vYZdqxq5KHNS1nVWHnDZTWLpsVT75zg6XdOzrlNWSRAW23pde9L11R+5aM7+Zn/+W2ys2R/pIS+kQR/98wehuIpPnvveqI30LkqmhbHOwd5Zs9JTl4Y4uM7V/Po9oV3ynzfQbgQ6sUHXAgNiQFYcK2RF60OMUmFEgikmHLQLqPSyBQy9zwUj4LnUXDfd8ucC3Aic/XlEapiQfpGZ1d16htJ8JXn9lES8tFYEb2mNeHC4Dh/9cN3ePHA3Mb4jYJt2+w6foE/+f6b3LGmiQc2LaWtpvSGO+LJTJ4n3znBK4dmr48AqCuL0FARva79CCGIBb18+YNb+fW/+iG5WTTypZSc6x/lT594i6F4mg/vWHlDnatsvsjhjj5+tOcUfaMJPnnXWu5d33rDxr+RaD/ZT2I8Taw0yNa7l1NScWXQR0rJ2NDcKmZCCBTV+Y5ZtCgWTFyzUFJHhxPTfS7eTxBCoGoqXk3F4zUorQyzfkcr3//HN3n6m+9w8O12Nt7e9q44GIpQsKWNLeUVmZKUmcCteubMoNxIvH32AnWxMEHvxedISjnv+ielpHN0nH985wBvdTjc/7lWu//ygXv4wMq2Kz7/x//9LCOTqlvJ8QyB0PzBvaJlcXZ4lL3dM+XzAy4X2xvruHdJM80lUUJuN5qi8ts/epHXOpyaiH+9bTP3LmnGo+vkzCLxTI5TQ8O83tHJ7i5nPInEpWvc39bC6qqKRWdI14dXsC48e4PZSyGRSCmxpM1wfpTv9T7H2yP7eWlwFw3eGkoDUaR0s63kw6yL3IstLTxqAF2ZO2MUz+SmbdCgx41bv7G0ustPhaoos96bti35s798iWefP0rRtPB6DWxL8ubbZ3nmuSM8+sF1fOoTW1BVhYxVYDyfZmmoklpfdMHF2i5VQ0FQsMxFZ1VvTB8MIaguCbJ5ae2cDoYEDrf38Yf//Ao//8hWNrXV4dK16RM520INjqGfL5ocONvLP/xoL4c7+m5YUdHVYNk2A2NJvvf6UZ7adYL68gg7VzWxZXkdrdWluF2aEy1AzHkcl0NKOR2BGIqn+dund/PDXXNnL1y6ypKaUpbV3ZgFubk6xi9/7Hb+xzdfmfU8Shz6yldf2M+uExf4xB2ruX1VE2G/ezpKN9cRSucAneJGnP8nMzkOnO1l7+ke9p3ppnsojm1LYkEv5hzdLv/lQIE5mzZd4z0sFpjxsYfB8oK+BAq7IP8y0nU/4gbpW18NQghaqktY1VQxp4MhgXdOXuC//tPz/OrHdrKsvhxdVRe0JqRzBXYdv8DXXtjPia6hW0InkdJpfNk1FOfrLx7k8deP0lwV4/bVTWxZVkdTRRSXoU1TPRayJlx6TJZl0zkY5+9/tIcXD5yZU9TB49JZ0VBO03U6GOC8uFY1VfIzD23mL5/cNfuaIB1VqT/7wVu8fqSDx+5cw+Zl9QQ8xoLWBDm5JoDEsiXjyczkmtDNgbO99I86vPDasvA0heO9iEK+iGXbuH3GrFKwUkqG++OcOTZ3dl0zVLw+x3BJTmQZH0lRUTPzOkopOX24m5HBhcktT2VMbCnJpPNXNVZvJKbuXym5osh0KqtRWhFi1aZGDr59lq6OIdLJ3C2d4xSqPXXsGn2N08njrFU3IpHY2KTMJLtG36DJ14Ku3Pxao+2t9WxuriXiu7iWW7akfXDuhrd9E0n+9u19/Oj4GapDQVyaxkQuR004RDKfZ2AiSdTn5f6lLaysLJt1jNsfWk0+5wQW3R6dmqb5g5bD6TT7unspXvJMtpRE+fntm7m/rRVNUWY4BQGXgSoElpQE3S4aopFpyVwJbGus4wub1nGwt5/ffe5l2kfG6BgZ43eefZnfe/heVlYuzsZZrGSqlJI6bxWfr/8IAsHbowd4vOdZ/k3L5wjqfjQMAtrFZ3G++9OatOOceVzMYN4oZApFCpc07Qu4XOizBLKefOogz714lM9+eisPP7Aar9dASsngYILvP3mAZ58/SmV5iLvvWo4tJaa0URUFXSz83OXtIjYSn24s2gm8YW5XeSTAtpUNvHr4HMPx2dNpEjjdPcxv/NXTF7MCTZX43DMnPmWA948l2XOqizePnmfvqe4rXn4uXSMa9JIrFK9LE35OTO7OoUY4heWnu4f52x/tJhbwsrq5ihUNFTRVxmisjBDxe1AUZVbJuKljGk9mOXKun10nLvDywbOzRg2nIIDW6lIe3NSGugCFgKtBCIGqKDyybTndw3G+9cqhOTNBpmVzqmuI3/3qi5SEvKxtqWZdSzVNlVEqogECXjeaolA0LbIFk0yuQCpXYGAsQddgnK6hcToHxmnvG5l1H+8PdvFcuKi7IJm3if2NIQ9fvu+FjKnWIPy/DFoLMv0nyMw3EEoZ6GuvbAx4k1BXHmHz0jr2nOphPDl7Ol5KOHpugJ//o+9xz/oWHty8lOX15bh0bXpNmDJSTcumZzjOnlPdvHH0HIc7+rjcHva6dMJ+D6lcgUT6yh4PNwq2lGTyRY6eH+Do+QH+4sm3KY8EWNNcxfK6cpqqYjRURAh63SiK42xcbobbky+p4Xia/Wd7ePt4J28dPT/jhX45hIB1LVXsWNW4INWQq0EIgd9j8OHtK+kfTfLk28ex7LnXhIPtfRxq76M8GmB9azVrmqtorIhSHgng97pQhaBgOvTHTL5AKlugb3SCCwPjXBgc5/zAOJ2DY9eliPduIRLz43LpDPfHGeofp6I26hQfS8dATE1k+LP/9uQMpZ7LEQh6qKqPwRvQcbKPfW+c4b6PbJiWcLUtpwD3tWeOMNg7t7b9pTAMlVhZgPGRFKeP9pAYT+MLeBBCTEdvlcnMwnyYdgSnnQY5GTCa3xnIJHOcPzNA87IqVE1x3oGTm9tSUsib9HWNMjqcxB/04Avc/Bqw2bAuspnebBdP9H2L5wefIlGMM1GM89Lg07hVLx+ufgyXcvPpeQ+tcbILQghs27ELVEXMWX8BMJhMcbinn4+uXcGv33s7Tx45ya7zXfzK3dupCQfZd6GHv3pzLx6XPkN96FI0LbtSpWq+65rM5ekci0//HPV6+MTalTy8rG1WGpahqSiKwLIkuaI5474Rzs5QhGBLXQ1/88mP8KtPPMPB3n7ODI/wBy+9zv985EGqQsE553O9mJpL1Ahxb/l2do0epCvTx6H4CXaWbl6Ug+B36aiq01w6ns1iWtYNdZqHEqkZClUhr3tWCtbzLx3jrjuW88mPb558zwiklNTWRvnkJzaTSGbZs/88d9+1HLeiE9A9pIp5xguZBc1XSklnaoy8ZVLjjSy6Ad8NczCEECyvL+ehzW1846WD81KYCqbFywfbeflgO16XTmUsSDTgweMyyOQLJNJ5xpIZRuZpLqcognWtVTyydSXP7j3F60fO3ahDuSqkhJFEZvoYwHnxh3weIn4Pfo+Bz23gMjRMyyZfsJhIZxkcT5LMzJ3avBylYT/3bVzC2pbqG2anOpK4Oj/3gdtIZfM8u+cU+auonoxMZHhx/1le3H/2xkzi/Q4lAmhO3YPMTNKeQIhreTlNtuNFAubk/22QlvN32plZLAQIBaG3gPfzyNT/QWa+Cv4oQq2/CY7PlVCEYPPSOm5f1c/T75yYl8KUL5o8s/sUz+w+hd9tUFUaIuxz4zYMUrkcE6kcY8nsnI4KgKYKdq5u4rblDfxw13H2n+mZc9u5IC8xqBbzspASBsaSDIyd5rm9pwHn+CMBDyHfxTXB0FVM0yZXMJlIZ+kfS86rFHUpBFBTGub+jW0srS2/oWtCLOjjSw9vJjNZ2D1Xg0Rw7tCBseT09fpxwapNjRx6p4PezhH++g+e4UOf3UrL8iqkLek42ccz39rD8ECcJSurOX1k9nsvUhpg1aYmXnvmCEN9cb75l6/QcaqflevrUTWVrvZB3n7pBJlkjkgswMTY/A1WnSyBxm13L+eZb++h40Qff/Dr3+LOD6whEPKQzxVJxjOU10TYcudMaWopJblsgULeRNoS27aZGE1PR7mzmTzDAxOok4bjVEbC63fNeDb6usb4rZ/+O6obS1i1ySn0Dsf8ICVjw0mO7e/k0DsdZFN5Nt+5lMYlN0ZNcrHwql4erXqMJt8SjkzsZzQ/gqZoNPpa2F5yFzFjYZz068XUsWcLRc4Pj9EXT1IW8NNcPndGMlcsgoTV1RW4dW2aql0wLVRFYUtjHV3jE7xwsp31tUNsa6qfc78LRSpfoHfiYiPD5eVl3FZfN2cdlqGqk+fPJmeas2ZDp+ZQHvDzn+6/k5/71g8YzWQ4NTTMP+07yL+76/abVuc1BUUohPQAlZ5ShnNjdKQusLN086LGqAgGcGsaKatArmjSPjRKRShwQ+owpJScGRxlYOKi6E9jSQTfLA0UR0fT3HdP6QxZ3Gl5XLdOeVmQ852OsmLE5aXBH+NsYpDj8V62ljZjqOqctEApJf3ZCQ6NdZG1CqyP1WK8G432plAa8nPfhiW0946y+2TXnJGwS5HJF+noG6VjEftRFMGS6lI+ecdaR3q14+YWfC8EUjpqWfHU9WdSBBAJeHlw81I+vnP1DbcFhXBkRH/1YzsJeF384M3jpLILd3x+3CG0ZUi1FtJfQdojoARBmk4h9SIhZRGsPkea1joP9higQnEv0q4CpfqqPS6uMluEvg68X0Sm/tzpheH7OYQSuyVORnVJiIc2L6V7aJwj5/oXVCeRyhXmlLyeC6qisKa5io/sWEl5NMCuE52L+n4hXySVzJFJ5snmCtTUxXB5dLLpArpLW7BSx6WwpWQ0kWF0jj4Wi4EQgrKwnw9vX8n9G9tuyppQGQvyyx/bgd9r8Oye0wt2fH5ccNvdy+k42c+rTx9isHecv/y9HzrZgcnu2f6Qhy/+ygPUNJbwH//V3886hqoqrNzYwIe/uJ0ffn0XyYkMz393L89+e8/0OJGYn8d+9g76e8Z58YkDV52XYWh85Is7aD/RR1fHEEf3nuPQLifwpShO87/7PrrhCgcjlynwnb99jRd/cJBMKkc2U5jRV+LQrg4O7epAUQQer4HH52L1lmZ+7fc+jqpdvAE1Q8Ef8jDUO86znSOOAtbkc64oAlVXcbl11tzWzCOf20rj0tn7PdxsmHYRTdHZGL2NjdHbZt3GqdGwUScpJDfTEfr6rkMc6RqgKhykd2yC5ooov/LAjlm3FYgZyo4uTcOyJRPZi/ZGTThErmgynrkxmduCZc2IolcE/dRF5lYL1VUV9RLnaT4qu6oo1EfCPLpqKX+/+wDJfIG9Xb2cGx2ntTR2Q+Y/H1Sh4Fe99MlBEsXFF7C3VZTid7tI5Z018oUT7ayrqyLkcV/3PTOeybH7fDc94xcpkquqywl7rwxgxmI+urtHKRQs3O6L94ctJalUnpHRFOGQ0zOj0hNmXbSOI+M9vNh/klpflJ3lS/Co+nSjPQlY0iZrFpgoZvmL06/SlR7DrejcW7kct7o4CuENF3xeVl/O5+/bMKlLP0hxnkjYtUBTFZqrYnz+/g3csbaZbL44rxzmdeFdUGVUFUF5JMAHtizjCw9svKn680Gfmy9/YCu1pRG+/uJ+BsaS80YubyQEvH+lcNUYIvhbjkJT7mXAhks7cAsVoZQjr3D2FSf7oVTCVLbDHnWa7OVfvbiZ1Y1M/aXzb8+HEN7POI351Aau6HUhvKDVg/BNfQDC7/TKmPpMaAjjdvCOIXMvQGGP08PjWjq0XQM2tdWSyOTIFUzO9s5OmbseGJrKioYKvnDfBjYtrSOVzVMS9F39i5PIZQu8/fJJnvrWbrrPDVMsWvz+X36RuuYynvzmOyxZXs3GHUtu6JwXA01VqCkN8dEdq/jYztW4r8HZWSgqokF+/pFtVJeEePz1IwzF0zd8DZ8LQlzJ438vweXW+fwv3Uvb6hrefvEE3eeGMYsmvoCbprZK7nl0Pa0rq4mPpKhvLaekPDSrEx+O+nn0c9toXV7NWy8c58LZQbKZPF6/m+ZlVex8aBWtK2rY/cpJOk70UVIenFeZSiiCqroYv/0nn+OF7+/n+P5OxoaSSCnxhzxU1ERZs6V5ji8LXG4Nl9vP3Jpvl+Ayo1EIQXV9Cf/xjz7DgbfOcqF9kLHhJLlMAQn4A24q62Ks2dLMum0txMqupMAEQw5tLFY28zg1XaW6voR8vohuXHwPqppCaWWIXLZAKLLw57w9dZqwEaHEKEciUYU6WSvlXKO8laM/18tEMU6lu5oSV9lNLfo+3TvEb3/4bkr8XoqWzS/+0w/m3NZj6PgMnf4J57qGPW4KpsmJgWHayktRFYXxTJaceeNkdi1bTo+nCoHfcOEz5hYKcWnaNJV7IpfDvEqA2WsY3NHcyFf2HMSSkpF0hoM9fTfdwZA4tLSCXcSW9jVJ3a6vq6LU72VwIokEfnTsDPcsa2F7Sz0uTb0mJ0NKSaZQ5Jmjp9l9rnv6/EW8blZUleOfJYNx+44lPP74Ppa2VbJqZQ2aqiCBdDrPm2+fpaNjiE9/0mkWWOL2c3tZK3tHznM83sf/Pv48bw+1c1tpM/0ZJ1M1XshwdLyH8UKGZ/uOcSLej5SSD9auYWmoctF1Lzf8TaUIwaa2GjR1O199YT8H23ud6Ph1hscF4HMbLKsv54sPbGTbigYA3IZOaciP16WTyd+4vhgCgdvQqYwGGE9l562VuCH7ExD0ummsjPLYHWu4d8OSG65YNRt8HoMPb19BW00JX3/pIIc6eomncjfNqHA6lntoqoxRXXLz+JY3G0JfhQj94ey/U8IQ/I9XvpqUAML3OQSfu7itWokI/hbwW/Pv0PtZhPezl+1IRRjrEbHvXDoxhHsnwn0Zn1fxIbyfcZyVWwxFEdy9rgWXpvGNlw9yvHOATK5w3RkzIQQBj8G61mq+cN8G1rXWAOBzuygJ+XAb2oKe271vnuErf/oCja0VPPKZ23j8n94CnGjOxHiG158/xsYdSxBC4HMblEf8xFO5m95zQ1EEIZ+bpbVlPHbnGravbLwla0I04OVTd62lrbaUb796mGPnB5hI526Kcp8AXIZG2OehuaqE8siN6+x+M6DrGtvvW8n2+1bOuU2kNMBfPvkr847j8brYsGMJG+ZxXG9/cBW3P7hqQfMSiiBWFuRTX75rQdsDeHwuvvBL9/GFX7pvwd+ZDYZLZ+XGRlZubLym7z/w8U088PFNV3xeVhXm/33n/7vi80hJgF//g8cWvZ9947uIGDFqvQ0U7QJRo4QKdxVuxalXOTyxjyf7vuvck4qHLzX9IhXuqms5pHkxnEhTtCx8bhe9YwnyRZNMoUjMP7ezFPa4qY2E6BmfoGBZ1ISDRLwevn/oOIlsjojPw0snO7ClJOa7MdLv9mTdG0yqn13F+fe7jGmK0Hj26g6GpihUBAKU+H0MJlOk8nnOj80uEnQjYUubsWKcgdwwmtDwqIunNtfFwmxpqqVzdJxkzqFJ/d4zr/AfH76LtbWVTsf1BQZLpJQULZvxTIaXT57jn3cfojfuZC8UIbh3eQtNpdFZqWOPPLyOs2cH+eu/e5VAwEMo6MGyJfGJDEjJnTuXcvv2i2vM6kgNP92yg7858zrnUsM83XuUp3uPTv/+pf6TvNR/UdHUpxmsj9bzpdbbCemLv69uSihMUZTJpnp+nnrnJG8cOUffaIJUNr9oKUkB+L0uKiIBti6v52M7V1NbFr74ewFhv5uysJ/OORSsru0YBE2VMX778/fx3N7TnLgwSDydI5XJkysWr9thmoLb0Aj53JRHAty+qokP3Lbs5mVk5oCuqaxurqKxMsauE508v+8MZ3tHiKeypHOF6yrIFIDXbRDwuAj63LRWl3DHmmY2La296b0EfoL3DlRFYeeaJmpKQ/zg7eO8c+ICA+NJ0tnColXhFCEIeF1Ul4TYubqRD21dQWXsorMqBMSCXqIB75wKVpfiue/tZ92WZr78Gw+jaSrfm3QwdF2lsibCWy86TdM0VWFtSxX//lN38+L+M5zuGWZick3IF80bRjH0uHTCPjfVpSHuXNPCfRuWUBpeeKT2RsBt6Gxd3kBbbRlvHD3PywfOcq5/jHgqSzY/P/3halAmHTW/x0Uk4GFpbRk71zSxrrWagOfKAuDipJyrbqiokypj7waH/yd4/+OVoefwqj5U4dQL3F32EBsiW3CrHt4eeZ2lgZVsim7jh33f5fXhF3ms9gs3fA7PHD5FfzxJtlDkb17ZQ1nIx1AiRX1s7hxSWcDHI6uXMZLOYNmSmkiIe5e20Dk6zjf3HcFGEnS5+Pj6VSwpK7kh89QUBZemkSkWMW3b6cVg23PWSAQucTB64xPkTfOqIiiaohD1ehhMpsgVTUbSC6eTLlY50MYmbxXozw3zyuA7pK0sQc1PufvaztfH1q/kcHc/B7qc5sX98SS/8d0f8bENK7l/eQsxvxevYZDIzpSbNm2bVC6PadvkiiapfIHO0XGeP36W1890MpG9SHGrjYZ4YMUSyoOzB158Phe/8WsP8+LLxzl0uIvR8TRuXWX92jq2bGpm04ZG9EuygoaqcWdFG2HDy3cv7ON4vI9EMUvOcq4xAjSh4NUMwoaX20qa+ULzVio819aH7ebl2nEKEr/08BbuWtvM60cc1ZfB8RSpbIFsoUihaFI0bWzbYYApQqCqAkPT8Lh0/B4X0YCHNc1V3LW2heUN5bPKZJVHAty2vJ5YaOZL2DE0rv3F7DY0bltez4a2GvpGEhw828uxzgG6h+IkMjmy+SK5gukch2VjWjaWbU8rQ0zBOS4FTVUwNBW3oeN16QS8Lhoqomxqq3Hmfx1zvREIeF3cv7GN7SsbOd45yO6TFzjZNcToRJp0rkA2XyRfNCmaFtbkMQrhFE2pikBVBLqm4Tam/uqEfG6W1JSyvKGc5fXl1JVFbgr1Pxrwsq6latYsltelUxldeLYkXzRJZHMkJ4+5YFnT9USKEGiKgqFruHUNn8sg5HVNyqvemAOzbJtkNs9EJkc670RHLNtRGtFUZ9EPed2EvW7cxs2XVZRSEs/kGE9nSecLFEwL23a454aq4jY0/G4XQY8Lr6HPex6aqmL84kd2cO/6Vl470sGx8wOMTKQvWRMsTMuaDkQoinO+XbqG26UR8LgoCflZ31rNnWuaaakpmXVNqCuPsGVZHV1D8RmfT2UKL8XwYILt9y5Hm0VlR9NUipdkKvweF3eubWbbinq6huIcbO/leOcgvSMTJDM5snmTXNE5jqJpYdo2liWnFaOAaZU5VVXQVede8hgaXrdB0OemuSrGpiW1bGyruelNPq+GaMDLo9tWcOeaZo6e72f3yS7O9gwzlsg4a0LBnF4T7EvWBFVRHP69MrXmOeuBx6UTCXhpqylheX0Fy+rLqIqF5lwTUskc5zuGGOyP07q0El1X8fndhMJXPy+lYR8bltTM+ruI33PLnbaf4N1HhbuK20vuocxdwcnEUQ7F99Lqb8OteogXx9hWcgctviVsjd3O68Ozd7i/Xty1vI+FeFAAAQAASURBVNkp2sapQTVtm4DbNa8h7jUMdrQ0zPhsZ2sD5UE/B7r6MG2bZZWlrKwsJ+CeXaVroGeMWHmQXKZA7/kRIqUByqrCc67XuqrgdxlkJueayhdI5QuE5lCpinq8uDXHpOxLJIlnc0hbIuaJ5AsB+qTDYtr29L4Wgq5MPxPFhUk5AxTsIgO5EfaPH+XohCPEETVCLPFfW+atoSTCF7auZyKbp31o1FEWLBT56q6DfHf/MZZVltJcGpvxfjJtSefION8/eIKJTI6+iQSnB0Y4Pzp+RW+y0oCPz9+2jlXV5fMWvrvdOh98eC0ffHjtguatKyqbShpYFqrg1MQAh8a76c2MkyzmEAgCuptGfwkbYw00BUpxqdfuJtxUBwOcqF9bbRlttWWksnnO94/R0T9K32iC0YkMyWyOfMFCShtdU/G4dKJBL5WRAM1VJbTVlV010t1SXcJvfGrhqeFLYVsDSPMscrIFuhA6qmv7jG10VaW+PEJ9eYRHt68gky/SP5qgbzTBcDzFWCLDRCZHKlsgN2Uk2fa0PKCmKpc4TF7KIn5qSkI0VcWI+D3vuWicz22weWktm9pqSecKdA/H6RwYo38kwUgizUTa4dObljWpSuU4FFNUh/KIn/JIgPKIn7qyCIY+u/GdyuU53TdM5pIHqyIcoKU8tuhzUhLz8cn71007AqqisKa+clblhbmQyRfoHUtwun+Yo92DtA+M0DeeIJ7JkSs4WStDU/G6dGJ+H+VhPw0lEZZWl1EbC1Ee8lMa8KFfRQ5yLli2zUgyw/mhMQ5d6ONo1wCdw3FGkmmyxSIuTSPgdlES8LK8pow1dZWsqC2nLha+JkfDlpL2gVEGJ9UqNEVheU05oUsM8PF0lo6BUd5p7+ZgZy9dI3HG0lmKpoWhqYQ8biojAZrKY6ysLWdTUw2NZfP3Z9BUp/fCqqZKEukcHX2jnOsfpW8swXgiSzKbpzApc2joGl6XTknIR2UsSHNVCa3VJQS880tdrm6qZHXTwopJY6UBus+PkM0UcHsv6rbnsgW6O0cor74ysmjoGi3VJbRUl/DxnXJSjjVB/9SakHTWhHS26KwJpuMkXlwTVLxunYDHRTTopSIaoLY0TENFhNANojjcSIR8bnasbGT7ikYSmRxdQ3EuDIzRP5ZkNJEmkc5NOho2quqsCVPrQiTgpSISoCLq/K0uCS34GTl5vIcDu88xPpbC4zXo6RplydIq1m2a3ygQQnDHmmbuWDNH7cFP8GMHgcKq0DpWhdbj1bzEjFJOJY+TtwuTjdhMdKGDEJS4ykmY8Zsyj7pYGIDe8QnODzkUmw+uW8qpvsUJW+iqysqqclZWLUwE5Kmv7+JjP7OTva+f4sCbZ4mWBfnZ3/zAnNt7dJ0yv5+hlKNkNpbJMJBMzulg1ISD0zUaOdPkYG8/S0pLZq0dgIvS4/FLIvZiEUmJ7/Y8w9ujVxdBmAsBzcfq8FLaAk3XPMY9y1pIFwp8/Z1DnBoYnpYYzxaKHLjQx4ELM7uzFy2LfRd62XdhbmEiRQjKg34e27iK+1a0zCk7fL3w6242ljSwsaThpowPt8DBuBR+j2vasHivwC6eopj+G5AT2MV2ED58Ffvn3H6Khz1lXPxLhhDg9xgsqytjWd3szXuuB10jcf7Ld1/k/PBFatsntqzitz9696IdjCf2nuDrbx4kNxlt9rl0vvYLn6K14urXSErJcCLNrrMXeOrAKQ5d6CM7B3ffLNhkCkVGkhlO9w/zOk7n0tpYiO1LGvjsjrVXNbBnQ65Q5MzAKM8dPs3zR84yMJG8goaXLRTJFooMJVKc6B3i+3uPs6Gphkc3LGfbknpKF5kBs2ybf3p9P0/scyhAbl3jz3/mw2xqrkEIQfdonGcPneE7u4/QP568ggKUK5rkiikGEykOXejn1RPn+MLO9XxpEccf9LlZ11rNutbqRc39RmLbPct56lu7KasIUdtUim1Lzp0eoLN9kDNHe3j0s1vn/b6YpGy1eUtpq52/edX7HY4ct5tVjRWsaqy46fubGM/QvKSCXLbg8MCdhiI/wSQKlkWikCNVLJAxC2RNk4JtUbQszMmu1VJKEKDgZJR0RUFXVFyqhkfT8Wg6fk3Hpxvoyo3LxL7X4NV85O0cGSuFpmjEC2NkrDS92S5AYkoLU05JhcPNvtGe2H8C07I50TvE/ata+dtX9/CnX3x01m2n6UDzNLU0bZt80UTXVIxZ5FInxtOkkjkO7Wrn5/7DB/l//+nxeefndxnURUIcGxgEYCiZpmt8gray2de46nCIsMc92SEKXjzTzl0tjXiNyKxZZsuW9CYSDCQdFSdNdYJ3NxsuxaDUFWVNeBkPVtyBS114EPJyCAGPrl1Oid/Ht/Ye4WBXHyOpa1cN9Og6LWVRPrxuBQ+saCXmf3cz2NeLW+pgvBehGptQ1GqknCAf/3dIe+Ept5/gvYvFsDMHJ1J8d89RvrfnOEMTi5esA+geneDZI2f40IZlV9/4MqTzBXa3d/O1Nw9y8HwfxQV2OLdsyZ72bk72DPHpbWv46OaV1MTmlhG8GnJFk2TOqZPqHY/z96/u4+kDp6adtqsh4nOzZAEO3XsNdz20mv6eMV548iAAiqrw3Pf3Y7g01m9r4bY7l77LM/zxhc/vor93nOHBBBNx58Xtdt98I+S9CtO2Gc1lGMqmGM6mGcqkuJAcpz+TZDibZiyXIVkskCrkyVkmpnRou4oQqELBpap4NQOfbhAy3ETdHko8Pso9fip9AUrcPiJuDxGXhxK3j4BhLKo3RMGyyJkmQdf1NdMbz2UJulyoQkFKyVguS3dygrVl1x6crPU2sG/sbd4Yfomoq4SO1Gn8WoBD8b0cmTiAT/XTk71AvbeJC+l2YsbNXcu6RuL8xgfv4HefeOmqjvNwKs2+C72UBf0sLS+dNSswkkqz+3wPyypKWVJ+5dxDUR97XjlJ09IqvH73VV+SIbeb5pKLik59iSTtI6Pc1dI0q9hE1OuhMRbhUG8/mWKRgz39PHX8FJ9Yu4rygH+Gk2FLSc/EBE8cPUlh8n3n0TRK5yl0vxwNvhoy1sIleRUEhqITc0VYFmhmVXgpfu3GGPDbW+pZUl7CDw6dYM/5HjpHxhlKpsgvQCxHEYKg20V1JMSq6nIeWNnKmtpKPPr7f537sXcwhOJDKK1IaSEU/08cjB8zpHJ5XjzWznffOcZI8mJTq7DPTU00REnAh89loKsKlpQUTItUzqmPGE6kGUlmsGwbIQTLqkpZUbO4nhUF02RPezd/+/IejnYPTkeqXJpKdTREZSRA0O3C0DQsaZPOFxlJpOkYHJ2mliVzeb721kEyhQI/e8+W64p6jCYz9I5N8JU3DvCjg6fJFU1URVAW9FMadM6FoamYtk02X2QsnWUkkSZdKDgvv6r3XwTfF3Dz+Z+/m1XrGzh3pp9MypEMbVlWyZpNTbgWYdD2pRMcHx0kXlh8PxyBIOr2cnfN+5fW83b/BfrTSWwWrzjl110sj5RRH7xISWtqKSc+niGbKZDPF1m1tp7KWShrC0XBshhIJxFAbTB8xe97kwlSxQK1gRBeXSdnFtk/3EdfeuKKbeeCrqhsr2yg1HPjajzGchk6k+OcT4xxYmyYU+NDnImPMJydvxHfFCwpsaRFwbZIFgswy+0pgLDLQ60/RH0gQnMoSn0gQqUvQJUvSIU3gK4o82Y4hjIpTowOc39Dy5zbLAQvdLbzgeY2fLqBBNrHx3j87PHrcjCWBlaQKMY5lTjGufRZgnqI+8o/QKqYpD/Xw+rQevaPv8MLg09zIXOOTdH5M5fXi8pIgP3nexlPZ3nrTCdV4bnrBM8MjfAb33+WpRWlfHLDau5obaAsMLPwt38iyXcOHOXj61fO6mBsvnMpR3ef564PrUXTVFbPJV08iaDbRVtZjKDLRSKfJ5nPc2Z4hIFkkprwlYEsRQi21NfyekcnmfgEtpR8Ze9B0oUitzXUUhHwY6gaBctiMJnk9Y4LPHvqYvPekMfN0tKFvz/uK9+xqAZ5mlBxKy482s2hHJUGfHzp9k18YPVS3uno4mT/MIOJFOOZDJlCkaJlTwcPDU3FpWn4XQalAR8NsQjr6qocOVr3tWdUbiSmawavI6N5XQ6GlDbS6sEuHkfRl2Cb7UiZQ9WWIpQIVvE42OMIrRVFb53R6VjaceziaaTVgySPED6E2oiiL0UInSl3XkoLaQ9hm+fAHkbKLKAilBIUrRVFq+Fy11/aY9jmWaQ1MLm9hlCCCLUORWu4xo7LU8ecQ5qd2GYHUiYBDUWtRNHaEGrsirnYVr9T42GNIMkDBkKJoGiNCLUecR2dQ6W0kFYfttWBtEaA4vT4qr4ClBLEZMMg55x0TJ6TFCAm59GCojVdMW9pJ53rafUgZWZy+yBCrUZRGxBK4LLtx7CLp5BWH5ICQvgRWiOKtmxyDu/NtPu5oTFePtYxw7loqYhxz4pmNjXXUl8SJuL3YGgatu3Qo0aTGQYmUnQOjXFuaIzO4XF6xiZ4ZMOyRcmISik5OzDKd3Yf5dglzkV1JMhtrXVsXVJPW2UJpUE/XkOnaFnEM1k6h8Z5+2wXLxw9S9dIHHCKBZ85dJqqaIhPbV2DcY11IL3jCR7fc4wXjpwlUyjSUBphbUMlq2oraC6LEvZ58RgaRcsmns7SN56gfXCU7tE4LeUli6ZpvVfg9hjcdufS685WnBgb4v8efpMTY0OL/q4iBOtKqt7XDsY/nT7AS93tFBfQZPVy1AfC/MqaHTMcDLfHYN3GRlavq0fTFCJRP4br2l9blrSJ55yoZ+0s9tzxkSEuTMT5YEsbXl0nWczzlZP7eb777JUbz4GA7uJP73iEO6qvndsNzvowkElycnyYA0O97B3q4djYIOnizWmAKIHxfJbxfJYjowMA+HWDxmCUZZFSlkbKaApGaQxFqPaF0C4pPDVtm8F0ihcvdPBOXze6olDh87M0WkpPMkF/OokiBPF8jqZQhBKPl/MTcar8AUq9Po4ODxByuQkYLjriY3z79DHcmkbAcLGjuh6JJFXI81r3eQqWRYnHy9ryqkW9VfxagNtL7mZFcA1pK0VUjxHQQ9NN9QB0oXMieYTlwVVsjmyfZ7Trx30rWnm7/QKVoQCn+4f54Nr51x6/y0ARgu8ePEbfRIIPrGyjMRZZcOfr1ZubaVhSSTFfRFEEj35h/uNTFYWaUIgVlWXs6uwG4NTQCMf6B2d1MAA21FTRVlbCYDJFwbJI5gv8454DvNJ+jsZoBK/hFI13jo3TOTo+nURRhaAmHGRN9cJpl0H9vSlpXRkK8JH1K3hUSuKZLL3xBIlsnmyhSN40AYHH0PAZBlGfh6pwcFG1otcKKSWj+TTjhTRV3jA+bRbFPtviXHKYjuQwKTOPTzNoDpTSFCjFUBa/7l5nBsPCNo9TSP4BqvtBpHkC2+zDNjagaM1Yhd3YVjeKtgTd/69RdUfT27YGMLNPYuffQMo0ztJWRCilaJ6PoLofQggNECDzWNkfYOZeBqzpbQFUYyua99Mo2sWCP9saxMo9jZV/ZdK5AKQFWKiuHQjvFxDqtXGHpZ3GKuzCzP4AafU488ME4UV1bUNzP4qi1TFlTNtmJ2bm21jF/c68J+cBFqrnEXTvTwPX5mBIWcQuHnTOo3lycmwVSRGBigj+exQlylQzNSv3EsXsEyCnUoomkEfRVqP5fhpVv0jtkXYcK/cyZu5ppB0HoYA0AQtFX43u/TxCaZve3rb6MLPfx8q/NTm+BFlEqGVo3k+guh54T/J6Ldumc3ick30XjcGSgI+PbFzBRzavuKK4SlFVgh6VoMdNY1mUra11FE2L9sFRTvYOsb2tYVH7H01leP7IGQ6c751WHauJhnjstlU8smE5sYB3xnlzKRrloQDloQDrG6tpKInwJ8+9zVDCoXWNp7M8ue8EGxqrF51JmcI7Z7vojyeZyORY31DFx7as5I7lTbN3KC2NsLahCtOyGE1lKFr2e/I6Xw22bXP+zCB93aNkU/krYu/BkIdtdy9/V+b2446+njHOnOyjpDRAfVPZFXGK9vFROifi5C0Tv26wpaoWt6bxTm83Y7kstpTUB0OsKqsgZ5qcGh1mIJ2iKXyxTmg0m+HEyBCpYoH28VHU6wj6gKOzP5i5Nqrl9JxyGQ4N9/FGXydv9HdyITl+1b4CNwOpYoGjowMcHR1AFQrNoShrSyp5rHU1G8suKnRJKcmYRYbSaUayGQbSKTyTikInx4Z5s6eTJdESkFDm9aEIwUtdHdxR00Cp18crXedpicRYXVrOcCbN6OQY6WIRiURKGEin6E8lGctleb2nk+ZIjKCxOCqWrhiUu+fOgmyI3saK0BoMxXVTm+wBrKgppyYaYiSVJuL14NLmN8fKA34+vm4lg8kUu851MTCR5KPrVrCqqhz3Aug05072ceLgBTKpPB/63Fb2v36G7Q/M3c8FoCoUZEt9Lfu7+wi6XTRGI/Maw6V+H4+sWMq5kTHOjzkOhAQ6x+J0jsXn/F6Jz8d9S1qoncNxeT9CEYKoz0vU996oo8haBd4abueVgVPcWd42LVc7BUva7B+9wHcv7GPPyHkmilmCuoe1kVo+2bCJTSWNi1aUuiEUKWmPIq1+NPdHsQq7sPIvIuUEqusehHUeK/cidvEEqrYCiYmVfRor+wSKsRnN2ASKH2kNYGb+mULqj3FrTaCtuChdKHyorm0oWjOIAMgkVv41zNwzoJZjaP9qei528TBm5nGEVo/ueQyUEMg00uxGqKUIcW3cUCktbPM0ZvqfANC8jyGUCpApZy7ZJxF4Ed7HEIoTGrNyL2HmfoDqfgDVuM3p3mwnsK3zKGot1xPVl2Y7xfQ/Is0OFNdOVH0dKD6wJ7CtXoRSxcxOzRqqsQ5FbQY1CjKPXdhDMfs9UEKo+n+c3tI2Oylmvzl5nJ9BqKUgc0irF4Tnkq7RIGUBM/sEVvZJVNftKPoGULxIqw8z83UKyT/CrbUhtOuL5t0MFEyLkWSG5CU61c3lUdbUVy5YuUHXVJZVl7GsenFF8FJKjnUP8MapTlI5JyLpMXQeXtfGIxuXUxKYPxOgqSofWLeU3vEJ/vLF3ZNjQu9YgucOn2FpVemCI1uX4niPU9C3tKqUn71nM1ta6q6aDdFUlfLQre3dciNx6kgP3/vqW4wOJVCEQF72WFbXxX7iYLxLCIW9eLwu+nrGGR5K4PO7Wb2unvLKMADPdJwhb5mU+wLY9kUp4EQhz0Q+R7pY5PXu8/xh2YMOlz+bZVdvN4l8jrZoCQXL4tjwIG/0XKA5HGU0m8WnX1800ZKSoey1ORgFy+LU+BAvdLfzQtdZOhKj15QNuhmwpM2Z+AidiXG2VdTPcDB0VaUlHGVHTT2juQyfXrZ6xneDhpttVXXTjl1XYiblTCJBQtTt4b6GFv7+2H4+0rqcUq9vOvjiNww+0baSwUyK/7vvbUYy6UU7GAuBW711Km4hr5uQ140tJc8eOcPDa9rm3FYIQV00zL1Lm6kOBXnm+Gn+9q19PLJ6Kdua6q+6r9d/dIRoaZDj+87z8Ke28NIPDlzVwQi6XWxtqGMknaEuHGJzXQ1NJfOLeNze3EB3fIKv7jvEYDJ11XrIqNfDIyuX8tCyJTckQJU2M4wV4mStPEXbRFdU3KqbiB7Cr3tvuuP4XsVwLsWuoQ5e7j+JW9HZVjozU96VGuU7nXt5dfAMlrQJam4yZp5XB0+TKGap9oap988uCz8XboiDIYQLVV+O5nkUhIqVfwmh1qJ5P+ZkMQq7wR5HUkRaXZj5F1G0BnTfF1G0Bi4a2kUKid/HzL2E7l/qTE940LwfR6CDcKYrpY1QoliF3UjzLFzSzkXacaRMoGptqK67EMpUGs2ejvJfE2QSq7ALaQ+g+38JzfMwU9kHoVZgJ7uwCu+guLahKssn5zIIMo9qbEJ13YkQUy+uqblca/bCwirswi4eQnN/BN33U44TML2BDQguFZdXPQ+ioiHQQAhHLlNbgpl7Cbt4mEvPITKDtEdR9bVo7rsRyhRlwb449tQn5nms3Aso2jI030+jqFWXjJOjkPgDrNzLKP73noNRtOwrOj1PyWvebCSyeQ5d6KfzEgWtZdWl7FzauKAaCiFA1xQ+uH4Zj+85xnDCoXilcs64w4k0FeFrM/o9hs6ntq1hY1PNNVOt3k94/on9jA4luOuhNURLA1wewPb5f9IQ8t1CVU2UiqoIneeGePm5Y+x9u4PSsuC0g1HlD5AqFnCrKk2RKJqqYNo2qhCEXW7cmsbhoQFsKfHoOusrqhhIXzT+08UCPckENYEgn1y2ih+cPUnnRPy65mxLyeA1OBjxfJY3+jr5/rnj7B3sIVnMX/1L7wK8ms7mito5f29NSrRfaiwGDNcMZ0BThNMjRjq9U8ZzOYr2pFQ8TPdZmnIYFQHlXr/TX0UIXKq2aMfLljZD+QF6s10kiwkseWUB7o6Su3BdQ2fnxeBE7xDp/Eyamy0lTx06Na+DMYWoz8tDK5ZQEQrwvUPH+ea+I/RNJKkIBhxHbQ6MDiX44Ge3cmzfeYRYWKM6RQjaSkuo276FoNs13UhvPvgMg4+vWYlH13n6xGmODwyRM68UCjFUleUVZdzT2sSHViwldh2RfltKerMDnEp20JPpZzg/RtbKUbBNdMXp1l1iRKj2ltMWaKLOW33dmcr3G8byac6nhvFpLur9MWKuixQz07Z4ffAsB8e60ITCvZXLWB2poT87wVM9hzk41s2u4XNUesO41YXXJN4YS0p4QClzqDTC43D/lRhCuJ16B+FGygJIc5KnP4AtcxTT/zijHsK2+pxtzJNMSRwIHIfCKu7FNs+DjDt1EFYvUqYmaVAXjWNFa0ZRG7DyLwM2qrEBRVuJUMIgrr0qX9rj2MWjSHsCK/8KdvFie3UpJ5DWMFJJI+2LBqNirEfkX6GY/mek2YNirEPRliOE57rmgkw4NSl4nH2olxVGzfLgCHSs4lFs8yzYo845tOMgUyB9gM2U8yXUclR9JVbhEMXUX6AYm1D0lShK2bSTNwW7eBxpD2MLjWLqb2ZkiGyrB7CwzJO8F/UQdFXBY8w8nr6xBP3jCdoqS1HmaRB0vbgwPM6x7kEKl6hMbGispr40suAojhCCkoCXlbUVvHK8A3CehNFkmjP9I9fsYKyuq2BLSy3uW+BovRfQfqqfHfeu4MGPbcC4BTKJP8HC0d87zrHDXcTH0sRK/NQ3lMwo8r6vsYVTo8P0JBP884nD/NvNOxjLZXihs52765uwTel0FJZyRsDlclxqa13vU29LyVBmYcXXU+hJTfBU50m+33Gc9okxLPneyFrMhmXRMiq8s68tft3AlDZfP3mYZdFSNlQ48tMCZpz/kMuNXzd4s+cCFybGGb6EUqYIQUMozPfPnqDM6+NDzUsBcd3R7f5cD68Pv0RvtguBMmskdktsBy5uroPx/LGzuHUNzyXrqy1hfBHyph5DZ3NDDTGflyePnuSV0+cwNJX+yZ5Gs6GuqYy3nz/GcH+cZ7+zl/rWhdFovYaOd5F9liJeD59Yu5LW0hjH+gfpGB0jns2RN01cmkbE66EhEmZFRTmrq8rxX4fqWN4qsH/8GLtGD3Iy0U68mJjV0RJAQPfT5m9iS2wNm6Nr8WnvvZ5DNwtJM8dgLkHM5afWF53BcOjNxDk4doHRfJrtZS18vmkry0KVJM0cfZk4rw2e4e3hdj5Qs/pdcDBQL4nOC4QwnIwD4ETpp5SRnWJgZBYpDaTVibwso6C6dqBobYATZZf2GGb677CKB53CYSUKwnAci+m3wiVds7Wl6L6fxsw9hZV7Div/OorWhuraiuq6fTIav/iFynFqRiazMAMzHAlnv40ItRqhXOQQqsZW8H0ZM/csZuabkH8JVVvqUJpcO2YUsy9qLnYSaScQamSajjX/3POY6a9i5l9xro1SCsLl0J6QU7mf6e2FWo3m/RyIH2Dl38bK70LRW1CMzaiunTOyFNIeRsocwk5PXs+Zzo3qugNFuz5FkZsFl6ZSFvQR8rqZyDi1Kd2jcZ4+eJqIz2lmd7OyGb3jCc4PjU3/HHC7qC+JEPQsbqFVFYWW8ti0gwFOx9VzQ6PsXHZtHUq3L6kn7H3vNYC8FhwanuxyGy2bk/ricul4vMa8BuhP8O4gHk+TzRSoqolS31hKWWUIw5jKZEve7OlkOJOhaNukCoVpOs1INsNQOo0UEPM6kdF4LstT7ac5ONiHKgTlPj+rSiuoCQR5tes8Xzt+iK5EnIB+fbQbW0oGM3MbepdCSkn7xCjfOnuEpzpPMbDA771bEMDOqsZZjXMhBHXBEB9pXU66WJiW2WyLllDpC+C7pE7AqxvcVdfEhUQcVQg+umQFTeHodB+Ozy9fS28qgUfTEUJQHwzxSLNTBB0wXDzctIQy7+IEJU4ljjOY62NlaC1Vnlo0ceXa7lJufrbSa+isqaskckkDYcuWHO7qm/M7qlDw6BrqJUEvTVFYUl7C5zxrqQ4FeeLwCYbncVK23b+SEwc6WbGhAV1XufuR9TfmgOaAS9PYUl/L+poqhlJpkvn8dIPWgNtFqc+3oIzIfCjaRd4Y2cuz/a/Rle2fzkq5FRce1Y2uaJjSJG1mydsFEsUU+8eP0ZsdIGVmuK98B271xtPs3ovIWybJYp4qT4RS18wC+aPxHtqTw7hUnbsq2mgOOBTrsOFlbbSWvaPnOZsYms4yLhQ30HoSc/x7dqiu29HcD4C4Mi0mhB8nmm5i5V/EzH4bxbgN3ftphFIOwo1tnsQuHr/yu4oPxXU7utaIXTyBXTyMVXgHu3jYqRPxfGJS7enaoKh1aL6fmbVQXAiXU5cxPZcQqudDKPpy7OJJrOIBzMLriOJ+sMdRPY9OFrMvFlMUJGuSajU/7MIuipl/QKh1aN4voKjVILxIOY5VPDzLcbhR9HXoavXkOTziUN3Sf480L0wW1k9xPp25qK67Ud13OXUmV4x3dSfoRmMhpqKiKDSURVlZU85bZy4AkDct3jzdyVgqw/a2Bna01dNYFr2hjkbBtBicSDJ6ycsgFvAS8XsWXTehCHEFpSpfNBlJXluzH1VRWFJViucaOoO/F3F2fJSCbdEQjMzpYGy/ZzkH3+lg+do6mpdW3dTM1U+wOFRVR/H7PQggFPGiKgLbtlEmn5Myrx/XZERtU0U1AcOF3zD4zPLVKJN9H35xw1ane7qi0hAKE/N4UQRE3V48ms6q0nIMVSVrmjSGIsQ8XkLXEVG1kYznsxQsa9aGZ1OQUnJyfJivnNrP811nGc8vXtr4VkMVyrzqWGG3hztqZwY26meRAxbAslgpy2Kzy5KuK69iXXnV9M8V/gAVfidr4tMNtlXXLXruo4Vhyt1VbIxspcR14xvHLhQPrlpCecg/451iS8knb1s953eaS6P83O2baYjNlGgWQGUwwIdWLaU6HOR43yCtZbPbN1X1MRRFUFETxet3LUp++3qgqyrVoZtjAxyKn+C5gde5kOlDEQqrQ20sDTRT6o7hUVyoioolbXJWjqH8GKcSHZxItNOfG+aFwTcJ60FuL910U+b2XoPEkao2FHVGFiJt5jke76M/O8GyUAVLghW4tYu/r/SE0BWN0UJq0fLjt5wDIZQyp0hYFh3ZWHXuNJ2URezCLkCiez6G6pqSVZNOtFzOHu0RQnckUtV6pLEZ1XU7hdSfU8x8F8W1A/UaHAwhPAi1Aml1IYTfkYFd0PdcCH05itaG4roNtXgHhcR/o5j+O1TPB7iWSyCUIEIJYRf3I+UYM+onZoFV2IO0RjD8v4zqumNSGldimzbYcVCvXGyF0BBqFYpSgTQ2oLpup5j+KmbuWRR99bSDoajlDuWLoiNfex3O27uBhtIId69spn1wlMHJJnvpfIF953o4NzTG22c6WVVXwcamGlbXVRL0uK47sp/M5hmcSGNaFx/WsVSGr71xkOcOn1nUWLaU01K1UzAtm2Tu2vjbAbdB2OueESlbCCbyOXYNdNERH8OvG2woq6Y1EmPPQA+2lGwsr+bt/i78ukFdIMSh4X5GshnSZoEKb4C7a5sIuzy81XeBY6ODk1mHUu6sacK0bV7q7uB8YgxVCJpCUe6rayWez/JOfzcdE2MEDIP1ZdWsjJVzbmKMXf1dpIoFLiTGaQ3Pf08KRdB5dpC//T/PUVUXxe93O6TvScRKA3z4s9uu6Xz+BNeHxESGfe90MDQwwbadbaRSOSqrIzQ0lSGEYFNlzazfu7v+Sqlfv2Fwe23DFZ97dZ2t12CwzoecZRLPZynzzi6lOeVc/O2JPbzY3U6i8N6st7gcDcEIDcHI1TecA+PZLAf6+6gJhWiLXdmroWN8jN5Ego1V1XgnMx5SSjonxmkMz19cfDXoioFim+96kW9dSRhw1m6Bk/kRwKbGuetaygL+K/peXIqA28W2pjrW1VbOqUb1xo+OcO5kP6qqgBCoqsKn/7+7r+NI3l2MFyZ4Y2Qf3Zl+XKrBgxU72RxdQ7WnHK86MwMvpSRjZVkXXs6+saP8aOBVBnMjvDmyj2XBFkpci7unTdvm6cOn0DWV5ZVl1ERCi5Kov5GwLJve/jgTExks60oHIOB309xUhiqUyYyOPSMTcS45zNnEIAXbZH2snhpfZMYzoisqApyap8V0MOZdcDAUfSWKWoNdeBtp3otUopNUIQfSTsE0xUowTbESF7ly0hrFKuxyjOMZkJM1GWKyzkFBqKWoSgRFfQrLPHWJTOviIJQYqr6eYmE3VuENFH3FJQXkDoUKJALXZA2ERNpJEB7n+ISKolajKKUUlT9HmudY9NWanowfRWvByr/k0Je0VSjapYvTVDG2Okn7mLzxLz2HMo+VfxVpjyJmOBhysl6m6ByfUBAigqqvx9b2OtdNXsKX1dcilEqs/Kuo7ntRlNCMrIxzDtwzrvF7CT6XwZ3LmxhP53h891H6447TKnFkZEdTGU72DvHmqU4aSqOsb6xme1s9NdFrX1AyhSKJ7Mz7MJHNs+ts1/UeDuAUWV5evL5Q+N0uNFVdlBNVtC3OxEc4MjzAjup6zk+M81b/Bcq8Pryazu7Bbg6N9GMoCtsq68mYRd7u72J5tIw1JZU8ff40dYEQMbePF7va2VZVj1fTeer8SRqDUUo8Xr7fcZwH65dQ6QsQdXsoWhZnxkc4OjrA9sp6ziXGeLv/AmGXm32DvYzlsmwor6Y/nSRrzX8uBnrHKasKk8sWuNA+hOHSZiyw6drrM2x+gmtH57lhTNPCcGkkk1l6usZwewwa3nuaETNg2Y6S1GwOhgTaJ0b5h5P7eKGr/T1bzD0btlXW41KundaSMYucGh3G0NRZHYyw242AGT02LCn5xrEj/Mcdd17zfgFa/G3sHXuLjvQZfJr/lqpFzYbH9xzloTVt+N0upITv7DnKp7euuebxdFWdl3J08O12Nty+hEhJwHFs3ueZ2rOpTi6keylKk52xzdxbvoMyV3TWzvNCCHyalxZ/AxE9SNJM8/zgG/RkBziTPL9oB6N7LM7jB44xkspQFvBTGw3xU9vX01gSXZTK0vVifDzNN7+7h7Ptg+RyBWz7Spty+dIqfun/uw+PqhMxvEwUMgzmnIbSpm1xaKybs8khSl0BVoSqCekzGREZ06Ge6kJZNKP/1mcw1Eo070cppP6MQvKPUF13omg1SDuHtAewi8cxgr8Nah2goRjbMLPPUMx8BWmPACZW4QB2Ya+TDZkBiZX7EWb+TRStBaGUIxDY5jmswl4UfeUlikiALGJb3Y7BbKcdY5giVv4dxzFQ/AilAqH4JqVyt2MV92Nmn0TacRR9FQIVaY9gm+2oxjZUz0MIPIBNMf3XSGsUoTWhqCVIaSKLJ5HmBVT3Tq5V0UoIFdW1E6t42On3YY+jGutAhEEmsc3TaJ4Po+jrEBioxm0UxVcpZr4G2CB07MJRrPxrCLXqivHtwgGKma+iaEsQaiVC6NhmL1b+RYRai6JejBoKtRrd+xiF1J9RTP5PFNedKGoV0s5MXs8TuEK/B/Nkqm4GFuO6lQX9fGzzSmqiQZ7cf4ID5/vIFS8apclcgdP9I7QPjnLoQh/PHT7NmvoqHly7hLbK0kU7GgXTvGYHYCGQMM1FXywMTV30Apk1TU6NDbN/qBdFEYzlsvh0nYxZZHmsjLPxEZ69cJYPNy+nLVJKfzqBW9Voi5SyoayKdwa66EsnGcqk0VWFTeU1hFxuXu05x4mxIe6ta+ae2ma6k3EGMynurW0maxU5NTbMvsFehBCMZjMEDBc9yQni+SyNwQhbK2o5Gx/BuorazIMf2UBhnuvhvkVUgp/gSuRzRSJRPx7PJL1tSlj/PQ5L2nN22e5Oxvn6mUM813XmfeVcANxZ3bTg4ENPYoLXLnTSn0ri0TW219RT6vORMy1ePH+OvX29uFSVD7QupT4c5mB/H693dVLm8/GIz4+hqvQnkzx99jQ/aj9L0HARcLn4wup112TEmdJktDDCC4NPcWB8N34tOKPJHsCHqz+JR701fQuO9w5y70qnPtGSNq+dOnddDkamUORE/yAVwQA1kSv7SaiaQtvqWkoqQv8i6uvOpbqJF5N4VDe3xdZSYkRmdS4uhSIEUVeYrbF1vDmyl2Qxxbl0N9tKFlePcrxviJ7xBP0TSc6PjHNmcIR/tWPjLc+NPf3sYV5+5QSbNzZRUx1xslOXobzcuReiLh+N/hIOjF7gjcGzVHnDDOeSvNh/gvF8hvurltMaLJvh3AMM5pIUbYuQ4UFZpPLprXcwhIbquhtDeLFyP8TKPYsps07UW/gnO21PRRY0VNdOp2g7/yKF1B8jhBdFa0bzfgqrsO/y0QE30urHLB51msMJAyHcqK4taJ5HEWr19Na2PUoh8V+R9ohj/Ft9gEk+8TtOszq1DM33s2iu7Q6tSGtE9/88Vu4ZrPxuxxEBhOJBKJWgBLnoNAgQXmzzbWRhN2A7CkvCg+r9GLr3Ma7n9Au1Ft33c1hqNVZhF8XM10EyWcQ91VF8UllLX4cR+CWKmccppP50slakBs33WeziGezi/ssG18FOYuaeBlkEoSHwIPQmNPcHUSYbJk5fT/f9GIoPM/sUVvbpy65ny6x1Ge8lCCEoDfq4e2ULbZWl7Ono5rnDZznROzjD0bBsyeBEisGJFGcHRnmnvYvbWmr5zPa1VIQDC160i5ZF3izOMo8bczyKENccRVHE4gkEmlAIulxU+YLcW9uCwKGdlHp8jOWyJAp5AoZBPJ9jouBkbtJmkYJtIYFkoYBb1QjoBol8flpBZyyXIWS40BWV++ta6U8naZ8Y5SsnD/IfNt1BwOWi2n/pPg1cqsrhkQGyVhEJjoLQVSzSxiXX1njzJ7j5KK8MsW9XB+1n+jEMjYamMiKx9363eEvaDM3iYIxk0/zg/Al+cO7E+4YWNYWYy8OqWMWC14eO8XFOjY5wT0MTJV4vFX4/ecsiUchR6Q+wtaaWJ8+c5szYCBV+P3WhEKVeH72JJEXLoXCE3C62VNfw9WOHuauhCV1Vr9mISxUTeFUvKipZK03BziMuM5jsW6DedWEkzo8On2bf+V5+94lXMDSVgmVRFry+ztTjmSw/OHKSnS2NszsYqsLf/88fUVkXRdM1VFXhsS/f+b51NsYLE+SsPBXuUiJGGG2BmTVVqESMEKWuKL3ZQcYLE1f/0mXoGBolXbgoNby0opSw99bbOW+/086G9Q187jNb8fvds773p5yOKm+YjbEG9o508sbQWdqTg+SsIgPZBDGXj22lLVR7r8zknE042zX6SxYt7XudDoaKamzBFf5jFM2JaqvGBkTo9yeNXEfVyQj+F0ddadLQFErAUSPSljqqUhQABYQLIcKgRC/K2ikl6L5/hW1sYTD1XWLe+3EZaxBKFNV1B05H6osH7ahQtU52CC9OjutGKFGEUnKJ2hUIJYzu/2XODA7QUuqktixpc6x3kKO9g3zuts0o6kVurhAGirYUxVuB5v7Q5D4AjMlsR+kl6lkCzfMJNNddSJlxirGFCsLNf33qCP/+4Xp82rVz9oTQULRWFO9Pobk/MDkXG9AQwjfpSGmTx+lD83wcxdgKMg0oCBFyakpcE5OKWBcfTkVbjhH6HYeuRhHHUTEQSniyWeHM1LJQgqiuu1C0FZNjFSb34QYlDOL6Fs6FYLbU4GLhNXRaKmJURgJsaanjWM8Ar504x56OnmmVqSkkc3lO9g7RMzrB4Qv9/Jv7t3Jb68J43GLyz6VYUVPOx7espKns+uk4QgjCvluX/ndrGqtiFZyLj/NExwmEgNWxCmJuL2/2daIpCj+/+jbe6O1kV38XLaEoCvDUuZM813kGS0qaQ1HKvQEOjwzwx4d2IaVNqcfP6tIKMsUC/+vAG+iKQtG2qfEHcWs6q2MVdE5M7hNYU1rJg/WttISivNzdwZnxEUZzGVbGri17JqVkoHecJ762i5//zQ/c0HP2EywMLUsqcXsMquuiqJpKc2s5VdXvfcraFEXqUqSLBV7tPcfXTx+6IQXdqlCo8AUodXsp9fgIuzy4VQ2XqqErKhJJ3jLJmEXi+Swj2Qz9mQQj2QyFRarBAGwqryGgGws2SJsjUXoSE+zq6aYuFCLqcXhtQZeb1miM1WUVvNPTTaZYpGhZlHh9VAeCMyR+vbpBazSGW9NYWXZ9WfDVofW0+JfOu82toE2VBLzct7KFc8NjPLJuGX63gQRKFtD/aD5kCgX6J5IzDN9LsfnOZYwNJ3G5NYQQKO9SzcCNQkEWsaSFV3Uv2vBVhYJH9WBJm7w9+/maD30TyRnBx82N1bg07ZY7axMTWVrvKqe8LDgtfDEX/JqbneVLOJ0Y4MX+k5xOOE11fZqLD9SsZmtZ8xWduodzSc6lhinYJsvCVeiLpEdel4MhhAIiimpcXPCFEkG9hIYklMB047mZ33UhtFpg7sKm6X2oJSDbKIgyUJdMFxgL5XItboFQQjOkYucf241qrOebB17ktx7eiK5r2JZFyuqiL3XBoR1d8R0N1BKEeiV/9PK5KGopXN6jAjg1eATrBhjEQqigxhZUWC2UEOos50Xgh0uyOs459CKUxUnLCuFGaHXAjS2WXCimte6vE0II/G4XzeUG1dEgm5pq6RmL887ZLl461sGFkfgMyk0yl+fghT7++w9e4bcevZvbWue/n8Hp/u26rP+GS9doLo+xvrF6jm+9d6EIQa0/xKfbVpMsFhy9ccNFQHdxZ02To3Tl9hBze1GEYCKfI+Rys7a0kqZQFLeqU+51KBEfb11JPJ9DSjk9hiUlX1y23ok3CEHY8KAIQV0gzKfb1pAsOi+IoOHCUDW2VNTSHI5h2TaKEPgNFyHX4qNL0pbER1KcOHThBp+xhSGZz/NaZydvdl2gJRrlodYlmLbNM2fOkCkWeLB1CSvKrk0Nx5Y2nekRylwh/JOyrGkzT19mnNbg7Bmdqeju1WgINxIer0FTcznVtVGEEOSzRWzb5tTEAN8+v5+kmcOjGjxYvZwNsforXpDvFi6nSJm2zZHRAf7m+J5rlqI1FJUV0XJWl1TQFimlORibvOdVDEVFV9Tp7OWUoWNLiSVtTNumYFnkLZNEMUd3coKz8RFOjA1xYnyIsVzmqsyzndVNV9An5kO5z8cDza2MZjO8cK6dN7o62VFXj1tVMSbrvFShgLxKjlEICpaFLeV18dtDRoQQjm2SMpOkzRS60AnqYTTl1t03PpdBc3mMT962mhXV5bhmaWZq2TaJXB5dVfC7XJi2Tb44P612qs/EXFixsQF5id0xMrD4yL2Ukolcno6RUTrH4oxnsqSLRUzLum7mYkM0zMfXzN9Z/FK4FB1VqGSt3KIzT5a0yZhZVKHgUhZPgU1m8zNEWpaUL54qfSNQVxejq3uMhZg+ihA0Bkr4N213sT5Wz5mJAVyqzppIDRtiDZS4rwwEn0kMYCga1d4Id1e04V7k+nrTnqrx7C6S+cMgVHLFLmLee4h6dpAsnGA08xJ5awiv3kCF/6MYaim9iW+QLpzCkhkCrtVUBz6LxKQ/+U2S+ROoihfTvvrCfLxvkBdPtDOYTFEfjfDgyiXoqsKLJ9rZ0dpAU2mUf9p1kKUVJZQF/Dx77AyvnTkPwolg/+q9O7Cl5NzwGP/9mVfJFU1ub23g3uUtnB4Y5vnjZwl53JwfGWd1TQUfXL2UC2NxXjrZQddYnMpQgA+saqOxNMozR09z4EIvyVyB1vIYH9+wkrD3YoTk/MgYX911iJ+/czOllylE2LJIIvsm3fH/MeexRn0PU+r/FMYsTsyPG3LF4g2lZgsh8Bg61VGd8rCftqpSHtmwnL0dPTy+5xin+4YxJx0NKeHc0Bh/9KM3+IuqjxC5SvbApanTCilTSOfzMyIi7zfoqkqFL8Dlpmn5JUWuU/9OFfJO9NUboDU801Ev8fgo8cykwGhCsCRypUM/1z79hgu/MbfMqFm0sCwb3VDnjfrYUpJO5WZV5rgVGM1mOTE0xAeWLKE1VkLE7UYCaysr2d/XR2qOSOXVIKWkPTnIqUQ/m2MOraw/G6dgmxyd6Cagu/GqBn7dQ7yQJlHMEtQ9dKSGSJlZ1oYbiLh8jOSTmLZFxPBNS8XeDKiagldzruc7b56hpjZGuqSAS9W4t2otHlXna+f2ENI9LA1XvCc69FrSZuiS5nHdqTh/d2Iv7ROjixpHQbAyVs49tS1sLa+jwhfApxt4VA23pk+rEC0GtpSsjlWSM00yZoFEIU/7xCh7Brt5u7+LrtT4FV2yXYrKbeV1Cz63UkoODvTz7RNHpyWCV82TgbCl5BtHD/N6dyeDqTSJXI5Pr1xNcySKqgjWlFfya88/Q0skxi9svm1Rx3spBnP9vDnyCmeSJ8jbOQSCsBHl9pJ7WBVai67MLmV9M7CqpgJdVWa9fkPJNP/28WdYWlHKf374bo70DPCfn3px3vHypslIKs3H1s1upLs9M4/tpScO8MVfe2BBc7WlpGN0jB8eO8Wuzm5G0mnypolp29i2RF6ViHp13FZfuygHI2KEcasuBvMjjBUmqPVWXlFTMxssaTFemGAgP4xLcREzFq+KVrStGQHNsoAP9V2gmn36E1v44z9/ke98by933t5GNOqf7hM0GwxFo8Efo9wTJFtZRBECr2bgUmbPvqyO1PJ76z6CJW0qPKFbTZGaG5adpGCNEPPeS7nvQ6iKH9NOMp59naBrNT5jOb2Jr5DMHyPs3kqp935KvHdjY3Jy+FeoCjxGptjFeO4dWqL/ibw5QNfEX8y7z5FUmv0XeqmJhHhs42qePX6Gg119NJdGGU6lp737kWSaVCTI8kovH92wgmeOneGnt2/Aa+gI4TxMEvip7Ru4MDrOM0dPs6a2gmzRZCiZZmV1BQ+sbMWt6+RMk72dPcT8Xh5Zu4ynDp/icM8AJQEfW5vrWF9XhWVLfv+ZV7h3WQshjwdNFbQPjfHk4ZN87ra1RLyzGaQS006QKZ6a83j95nqkfP8apTcSo8nMDaFJzQZNUQh7PYQ8birCAW5f2sAzh07z96/uZSLj8KilhI7BMZ45dJrPbl8773g+t3EFhWl4In0FDetfGo5NnORsqoPezCCBkIfXx0+TFCup9lRyKH6EO0p3EDUifLfnCdaEVnE61U7WytGb6aMl0ER3uod7K+4iY2Y4GD+CLW0kkg2RtawNr6In28c7o3sZyo84hX/RTSwLLrliHn///56n/UQfv/jbj1DbWMpv/dw/MNQfv2I7KSGfLRCK3lrOf9GyODk8zFcOHeLE0CDdiQk2Vdfw2MqVuDWNiMeD5xIpyoFUihc62llZVs66ykr++egRyn1+ttTU4DOuNJheHTwBwOlEH6vCNbw1fIa0maczPYxXc3FovBPTttlZvoyJYpaj8S5UoaAKlYyZx0ZyNjlAd3qU3uwYayMNLA0uPn0+HzrPDZHJFBASjh2+qK524mg3Dz26HrXEwKPpVHnD1HjDrAxXcXCsm4ZAjD879RqN/hinE4NkzSL/afVDeLRbZzjCTIrUWC7D9zqO80bfeawFZln1ScW1jzWvYk1JBVGXF6+mz8hOXCsUIfBoOh5NJ4KHKilpCkXZUdXAl1cWOB0f4ZWeDl7ubmcgk8JGsrqkkqh7cRSelWVl1AR3TKtC+V0GuqLy2VVrpjNNn1i+ElVx5vNQ6xLubGh0FGtUlbDL4ZQrCP7DjjsoWOa8fUWuhpH8EM8MfJ/+bA8NvmZiRikFu8C59Fm+1/MNx5kLrbtl2YxvvH2Ij2xaQcfgGH/y/Fs8tLqNxyZ7YShCEHC7po83UyzQG09QGwkSmKNHS6ogZu2jtOvFEyxfX8fuV06RiF/Mqh3a1c4XubqDkS0WebX9PH+/ez/tI2Nki8VrFhG52n4Wg3pvNSE9QG92gFeH36HOW0mJ6+r0yYlikheH3qJgFylxR2j2L5514dI0FEVMM1FURbkljVr/y397go5zQ9M/W5bN2Hiar39zF0/88ADaLA7rqhU1/Ma/fXj6Z0Uo+DQXPu3qvX4CupuAfu21JTf1SXKpZXj1Jlyak8ZPF86QLpxlIrcfXQlj2gn8xjJsmWMw/QPyZj9CaOTMHmzbImf24FIrcWmO0pFxFSWisXQW07KpiYSoCDlKCv3xBIncTMPNlo6er6aqxAwdXVEoC/jwGgZFy0JVFKojQSqCfoqWhdcwGEw4D2bI66a1LEZ50KFndY/FaR8c5czgCLs6ukjnC2xvqSdTKPJWeyenB0ZQhODs4Ohk4ZqkYFr87xfeYFtTPY0lkVkXBYGG37WWhsh/pWjHsew4RWuUdOE4ObPjiu3fjxBCXBFBdlL6l/cDnx+2lPSOJaYzCjcLU1kNt67x6W1rCXs9/OEPXyWTdxbGgmnyxslzV3Uwgm43VZEgLl2bTnuPZ7IMTaTIF82b1j383UbezuNR3bQE6smYWaJGHRPFCfyaj0QxOd2FdaKYpGAXSJlpatyV6ELFtE1WhVdwJnmWkB4mY2b5bP0n6Eid5/jESRp99fRl+8mYWT5Y+QBhPTRnh9bW5VUEgh68fuf3A73jNLaWEysLzlicbVsy1B9nZHDxVILrgaYotJWU8JnVq/neieN8YsVKmqPROY0r07KIZ3PkJoUDJnI5fLoxpxHQnhzkkw1bGcknKdgmx+O9RFw+XIqOX3WxNFRNe3KQnswYvZkxLqRHqPFGqfIECOpuwoaXY/FuLqRHUIWCLeUkReHGORiGoWHbko4zAwwPJWhudfJULveVNQCaolLlDXMy3o9p24zkU1R6gvzrJTsRQtzU7MpcsJHE8zlSxTyHRwb42umD5K2F1T2sjJbzU8s2sL2ygajbg6EsTjZ6sXDOkVO7EXZ5KPf62VRWzc+v3MLbA108ce442yvrcS1CvloIgVc38M7S3DLsvhhcCbkvGi8Rt4eIe/bsb4n3+pWdjk4cImOmeaTqMZp8rajCqVMp2kWe6PsWb42+SmtgGZpy82sGAc4MjGBZNt/afZh/+9Dt/O1re6cdjBK/lz/48AMz+hHVx8L82t3bWVE1ux10enCYP3tt9xWf+wIuFFXh8DsdtK6sxjvZQVzVr/6WNS2bt8518X9ffYvu+MSCHeRbgRXBVmo85fRnh9gzehhNqHy85iEq3KWz0jhtaTOQG+E7Pc+wZ/QwqlCp9VayMtS26H2X+n0YqkbWdtbcZL7gZDRuspNRX1+Cpl9cZ6f2Nt9Vqal592rWbq4lI1SnTmASuhrB0Mopcz9CyLURsFGEi3TxNFmzk9rgz6IIncHUDwEw1Bg5sweBRMoiRWtk3t0F3S5sWzKWdgrohpMpNFUl4vWQLZgULRvLsukZT7By8iEVQlAwLSfNN/nwWLbN4EQKW0KuaDKezhL1eRhKplGFQLvkRR9wuygP+WktL+HBlUuQUmJoKl1jcTqGxnhoVRuVoQD7L/ROjy8Q/P5H7udPX36H1890ctfS2UTdBS6thtLAJ5HSBiSWnaQ/8bcMJP9lOBiqInBfls4rmBb5ojmvnvfl6BqJX3NjuWuBEAKvS+dDG5byxL5jHLrQj5RO1PLCZU3vZoOiCMpDfqoiAc4PjQNOtPxE7xD940kayq69kdV7HV7Vi6HoaEIjpAdJmIlpx2IKl6aeI0aYgl0EAX7Nz0BukBJDpcQVIagHiBhhdEVnopigLdBK1srxdP/zVHkq2BbbTKnrSmrV9ntXIG2Jbly8xz78uW20LK1EXKq/b9kcP9DJV/50fmrCjYYQApemEXK5cGs6Ybd7zqjlbLiaDbA0VMV3LuymPzvOxlgzK8M1nEr0YSgaCTPHq4Mn8KouGnylDOcTk02ZBEJAe2KQcneIel8JQ7kEiWKWgOZCv8FR3/LKMODI1FZWR1iy1Aky5QtFvD6D3GWv1LF8iqBxsdhzZaSaqMt3SzXpL0fBtjg03M+fHX17QUXdPs3gk62r+WzbWmr9IafB1S2av5QW8cT/wrR6CQV+kaDRSkB38WjjMh6oa0VXVNyqRjzxRyRT/4DERgg3fu9jREL/7orxCsVTxBN/RC7/FgC61kwo8At4PffekuOZDUP5fkpdFVR5avFqF7OSbtXD2vBGvt39T1i3kBEwRcX2GjqNZVGKl1AxVUW5gtng0TUqQgFivtmdrVK/D88swanl6xtQVYW1W5vZuLMNX8BxME4cPH/VOZ4dHuHr+w9xYTz+nlOH9mte7irbSndmgL7cIG+N7Odw/BTLgi20+OuJGWEMxaBgFxktjNGeusDJRAcpM40pLWo8FTxUcSdedfER+qayKD6XPp116RwZZ01NxazB4huJT39iC/YiA6nvZjH/TXQwrlTK0ZUYJZ67GUo/xUDyO4CkIfLLeLR6TCtFx9gfYqilePQahFDx6a14tAaODH4JQylBv0qtQVnQz5raSp48fJLvHzxOTSTExzespK2ihMpwgD9/5R18Lh3TtjEmKQYC2LmkgV/4xg+pjYb4zx+6G01RcOkav/n4s6QLBe5c0khFKMBwMj15XBcR8rjZ1lzPDw+f5Le+9xwAn92yhpXV5Zi2zV+/vocSvw+PoV/cpyKIeD385kN38J9/8AJRn4c1tZUzz54QgIpAvaS5iY0ibm2q/2ZCUxR8rpnHM5HNMZxI43cvzKCSUvL2mQtkCotLr94IGJpGQ2mEI12D09KqBdPCtOyrFnw1lEZoqyyddjAA9nX0cG71GPWl4fetdODV4ByXQ/OYOkZDMchYOSxpYUmL/twAFvbk9k5zH0Uo049BUZqMFsaxpU3OypG1sgQ0P37Nx9bYJtaH1/DC4CsciR/nnvI7rpjD5RzVpatqqayJ4vG5Lstg2IQivvfMtZh2vCYpnFLKyYCG5hTwmhambdOTTBD2zP3S3FrSysao08/AUFRqvVG2xJqnj1MiUYSCJhRqvVFsJJpQEQhWh+tQhYoqBFWeMDYXO73eSExJKy5ZVjXj5wc/uNaJxsZ7ps4K3ekxXh44zc+33YF7Mluhixs/p8WiNzXBz778OPkFKDbVB8J8eeUWPtiwFL/uehccI4mUaWx7wpF3x3lWDVXDuKSw0+97DJexnqLZzvjE716ipDgTmlZPOPgrmOaHSWefpFA4juS9IMvrPENSyov3u5wKLt5aE3p1XQV/9Oyb/OqDtyMEMxyMy9FaWsK/vn0L1aHLhW0uwqVpTvH8ZZ9PRbzv+tA6VM2h0Egp+fJ/eGTe+eWKJkcHhtjd1TPjzHh0jfU11dy7pJll5aWU+LyOgtLVDvgqWCz9TQjB+sgK4oUE3+l5htFCnHgxwe7RQ+wdOzLjGZrKstqT75VyV4xP1n2A5aHWa1rfb2us5bv7nEZ7APs6e3ho1RIM7eYGBS7vyXQxGCeuKXlyLcI4izm+m+ZgxLz34DywFw0tIRRC7s2E3Bu5eFqcm2pZ6f9E4tjS8pLPm6P/HomcvHnFjPEuhyIEGxqqWV9fxVS2Spk0aH5q23q+uPViMxVFEdMFcr92/w4n6idAFYIdrQ1sa3GUqpAX+wqsqqlgZXX5jBtXCMGKqjKWVZZORw6nxv6NB3dOj4tkOt35jS99cvrf/+9TH0J5n3fUvFZ4XQa10RB76J7+rG8sQfvAKA2lkQXdyKl8gWcPnSGdm1nwupAzOp1RusYFwZaS0WT2kswUhL3uGWntuVBfEmFTcw27znZN114MJlI8dfAkdSVhmsuji57XpYvFe8UovhTK1B+hoKIicHj9pa4Y5a5SvnrhW3hVD0E9iCY0VKGiMLWt80cVzhjjhQn+vP3vkNhsiW4krIc4NHGEFwZeRQhB1IiwKnSlet1s+PXf+9isz6AQgpqGEr74C/fc6FOxIAghZhSBWlKyu7ubrx05zEAqxa7uLobSae5qbKQ+HOYbR4/w3ePHEUIQMFxz3gOqUFAvGVcgr2zQJJxQijF5Xqa2VaV+cW7KzHXwZuDyeaUzBVwuDUUoHBvvY9fweYK6i081bmJ5uBJVCHSx+GaRNwMSrtpFXgArouX80prt3F3TjHoDaiyuDSqR0O/gzHpuQ09VKlFdFWhqHeP87pzbCdzoWhu61kiheIZC4fiNn/IiUe6u5OD4XnqzXfi1AIp07q2CXWD32JtUeepQxa2j031qy2oe27wKRXGCJ3/yhQ/NuW1ZwEdpwDfve606HOS/f/iBWVWpAHJZJ/snVGeUfLaI2zt3wHIolWJPV/cM6nF9JMzP3raRD65YilvTbkXZwbxQhco95duo9JTx7e6naU9doGibWNLCvPR9OPnHrbpYHmzl07UfpMFXc82KeC1lMbY119MXT5DKF3jhZDs/tX09SyuccoBbdV6yuSKGruH4ZjN3KqXEsmwkjnLlFKaU5WxpOwpz0l6wax3Q3ItyJG+agyHmuHDO58osk7zoAc/83eIiUYoQs17d+arfL09rialxFji2I7c32z5nn7mmiln//eMGv9ugpSI27VSCk2p8++wFNjRVE/F55nzZSunUsnzl9QOcHRi5pqKzvGmRLRRx6xq6qqIqC3+527akfXCUo10D0/tWFYXWypIFjaEognUNVWxqquGl4x3TzsGLR9spDfj53O1rqYoEr1rUeZHWJylaFgXTQlcVvK73XqZrXWT1FZ+tCa8A4KM1V75clwcdbuzSYOv0Z22BFg5PHKct0MLHamZG4NaF17AuvPhOuLN1P4VJyeKgh80759fOv1lojkb5zdt3Tv+sKQrb6+vZXl9/xbYfX7GCj69YsaBxL7+f5ru/5tv2ZhrClmVjmldG/t946TjNrRWsW1PHX2/73Kzf/b31j960ed1IKAjWlFbyK2t2sLO68V3NuExlzBeynRM0m3+2F7MDToDvvYC1oY2cT7Xz9Qt/R7W31inytvKcz3RQtAv8VMPP474Gusy1QlEu9kWW0qHXLqmYXf5eiKs3QFUVhdA8mcs//S/f50u/8fB0J+//81vf5r/+9U/Puf1ENsfZ4YuqZxGvh0+tW8VH16xYlFzxzYYiFFaGlrAs2MyxiTMcip+kPdXJeCFBzs7jUVxEjDBtgUbWRVawLNh8BbtmsRBC8KXbN3B6cJi953vIFU3+9/Nv8ocfe4iY3zMZ4L759/3nfuqv+I1/+zCbNzZd8UjG4xm+/+QBksksv/wL9wOOXPa51BA/6DrEa4On6ctMUJQL74nz4n3/lnJPcMHbL9rBkFIiMTGtcRACRbjRlMD057bMIWXB4WhO7kIRBopwz6jHWOi+wMaWOWxZAKzJccUl47qc3hSLPg7zsnHlZFdPFUW4Jsede75SSmyZwbLTCKGgCj+K4kZKG0kB284jKU7OV0GgIYRr8jy8NxZc5/xa85yHaz+/C4HPZbCsuoyykJ/BCUdxxbRsXjrWTlnQz8e3rCTocU9HcSWOYV+0LJLZPN/ZfZRvvnWIZC6Peomiw0JxsneIv3tlL363wf2rW1laVYbfbaCrKpqioCjiijSrZdsUTIuukTj/7fsvM5G9KCDgNjTuXtG84P23VpTy8LqldA6P0zE46hyflHzj7UP0xSf4wu3raSkvwW1oF+ciHQqLbUtM25lPOl/gRM8QLx/voGs0zq8+vIMN78N+GguDQBfaLTUEfoJbjzMn+9j3TgfaZc1ITx7rma7PeD9DAEsiJfzs8k3cUd14Q8aU0sK2xxHCg6L4nHeRzCBlFiG8Mz/DRBF+wMa2U0iKk/PSUJQg4hZG8m8VwkaUj1R/mndGX+fQxD76sj3oQqPe18zdpQ9R52tYkMzp9SJXLGKoGrlikalXli1t/vH1ffz+Yw/O+11bSkzLwpJyzlorQ1VnpegaLm2aDialvCo3P1MsMpi8KLW8oqKMbY317ynn4lKoQmVNeBlrwstuyf5ifh//6QN38p9/8BJHegZ4u6OL33/mFf7dA7cT83vR1Xc3w6Oojg0zPOJcQ1tKDo9388cnX+TAmKPMpyDQpoQ6kNOqbVM/A2hCwa3q0312FoNrsBwlmcIJjg98GEV4KfV/jPrI72DacVL5A4xlniaZP4hpjYDQcGm1BF1biXofwGssQxHeBRnYUkose4JM8SzjmWdJ5PdQMHuxZBpF+HBrNQTcmwm778JnrERVAnNmTWaOa2PaE6QLR4lnXyaZ30Pe7Me206hKCLdWS8izg4j3ftxaA6riY7YIjKTIYPIrdMf/J4ZaSW3k3xH1fpCiNUA8+zrjmefIFs9g2nFU4cettxD23EnU+yCGVj3pcLx7d59zHuJkCqcYzz5HMrePgtWHJTOowo9LqyPo3kLYcxdeYxmq8C/o/C4GQghqoiHuXtHCt985Mt3AbiyV5e9e2cuhC33ct6qVtsoSAm43edNkKJHieM8Qzx85w7nBMUzbxqVrLK8u41j34KRS10LZtJKxVIZXT5zjqQOnKAn4WFVXwfLqMhpLI5SHA45UoKZi2jbjqSxdo+Ps6+jhlRPnSGQvcopVRbC2voo7l89WsD/X8cMdyxrpG0/wldf3M5JIT3PrXzl+jt1nu1lZW8H6xiqqIkGCXjeWbZMtFBlPZekeneD80Bgne4dI5R2KWH3J+69A3CxaWLaNrl9ckOd6NlyqwbrIatZxZTbkWpFJ5xHC0Ym/vAYjk86jaeoVGvI/wc3F6EiSiXiG5StrZnze0z02Z8bp/YRKX5BPt67h/rorZZSvFZbVz8DIJ/F7P0U4+IvY9hiJ1N+QTH+DoP9LhIO/hC0TTCT+BNPqIRL691jWCBPJP6VQOIxtT6DrbcQi/wOXsfhM4PsBYSPCg5WP8mDlo1jSROHWFdJP4cVjHWxrrePbu4+SN83pmoizg3P3SJFSkjNNusbinOgfYjCZmrNv0gPLW1lWcWUDTrfXoLtjCCklyfEMhjG/E2na9ozaxspAgIZoeGEH+WOCptIYf/CxB/iDZ15jT2cPPzp2hvahMX5m+wY2N9VMsyMcJgJcazbPpanTTBvbtp1gqvPfdLZ35n0syWYLpFK56c/H8ileGTjFgbEudKESNrxUekOUuAKcSw5xIT3KslAlZe4g8UKawWyCkXyaBn+Mxxo2sbWkmahrcZLt1xWatmWevNlD3uxmMPU1hpL/jC2zk/UTAilzZArHyRSOM5Z5lsrgvyLmewRNmZ9fL6WkYA3Qn/hrhlPfxJZOlFigAQq2TJAuHCVdOMpI6nvEfB+mIvAFXFrtVbIOJtniefoTf81Y5hlsmZkxrmmPkyqMkCocZCj5TcoDX6As8Ck0NTZvSs20xyiaw6Tyh+hP/AUT2beQmJPnQVKUoxTzoyTzuxlNP0ld5D8RcG8Eqb8LToYTvcibF+hL/A2j6e9hS8dQnj4PcgKzcIh04RAjqccp9X+CssCnMdSqRWehrobykJ8PrGvjeM8Ax3sGp7MQuaLJW6cv8NbpC/N+361rPLCmjY9uWsGv/tMPpxXErgUjyTSvHO/gleOLU+lSFYUllSX8+gd3ThfyLxQuXeMjm1ZQME0e332MgYnk9DnIFIrs6ehmT0f3VUZ5/yKdzHHuzADxsTRrNzeSSuYorQihzcEjvhn40Xf34Qu4uPuDa2cUgGfSBZ761m5ipUHue3T9PCP8y0TRzlO0s7hU3y3lpgPUN5ZSVh6aLvKegqophCNzv+QGUklURcGtarg05+X+3sgXX4RX07m/rpWPNq+8odFgIQx0rZHipIy5bU9QNDsRKJhmp5O1t8aw7EE0tQJVKUNTq4iGfxfbGmE88T+cIu8fE6iXZOallIwVRggb0ZuexWgsDePWNbpG42xfUo/X0LGl5Fj34JzfyRaLvHCynT997R3i2dxk/cPsd/ayirJZHYyHH9vCN/78JQr5Ivlsgc/8wvyKXlO0W3ACaH6Xjkf/l5fZulYksjlypokiBL94z1b+6vU9vHC8nbNDI/yH7z9HedDPiupyGqIRAh4Dl65dMzXr3mUtVEccatLQcJKurlGKpkWxaHH67MAM0QJwnI7OrlEOHOpi220Oq6IvG+fQWDcKglWRar685A42lzSiKSr/6/hzfP3cO3ymcQsfqlkDAs5ODPHXZ19j98h5cmaRiMs7a3HDfLhO7otFrniegeQ/MJz6DqoSwKO2oKslCFSK9igFs4+iNUrB6qF34s8QQqPE92FUMbfWtGmP0jX2u4xlfwQo6GoZulKCoZajKG4sO0XBHKBoD2Pa4wwlv4Flx6kO/SIurWHWB09KSaZ4mq7x/04ytwdJEU2JoqslGGoFqvBhyglnXGuYoj1MX+IvKViD1IR/BV2NzTlfW+ZJ5PcRz71OKn8IQytDVyvQlSgSk4I1SMHsw7QnyBRPcn7sN2kp+RN8xipuNT9VSsibPXSO/f+YyL0KqOhqObpaiqGWogg3lp2gYA5SsIco2iMMJP8B005QFfoyhlpzQ50iIQTLqsv48j1b+JuX93Cmf2RBilBCQNjr4falDfziA1uJ+b0EPe5FORiGphH2eXDr2jV10VaEIOR1s6SqlN/80B20VMx9j8yHkNfNF25fT3kowPf2HOXswCipXGFRdSWKEPjdBhVhP56rRKbeS3jtuWOcO9PPYH+cxiXl/PPfvMaXfvUBIrFbo0UPsPu1UyxbW4u8jGInBBTyFm+9dOLH0sEYynVwIb2f5aG7CRu3lnJXW3+Ri24WnReprqts3dk2ryjGH779BoaqUh8K0xqNURMM4dE0PLqOR3O6X+vK7N2TbwVUIVhXWsVHm1cSmKfb/DVBuNC0ZgqFw5MU4AmkTOJy3YZlj2BafVj2CLadxNBXoEz2e9C1etDqUZWSHysH41IU7SJ/3/lnfLnpVwnqoZu6rxU1Tk+XB1cvYVNTDR5Dx7Jt2ufJYHSPTfD4weO4dY2fXruBJWUxXHMEs5aUz17HUddazm/+n0+TiGfwBd1X9KC6HJqi4NY10oXipGEsrjBkbzXy1gQSiaH4UYSGaWcxZQ5d8d/yIMi39h7lcE8/w8k0w8k0I6n0dEG8BAYSKQYSqfkHWSCaSqLTDkbHuSG+98R+BgYnyGYL/OCHBzF0dYYpKRDousqS1nLuudupzZso5OjNjBNz+XmgaiVbyy7WomjCWRPNyea1CgpLQuX8+ooH+M0Dj/PXZ1+nNVjO5pIGtEU44NdNrs+ZneRT/Xj1ZZQHvkDEexeaEgbAslPEs68zmPwKqfwhTHuE4dS38eitBFwbZ42G2zJPf+JvGMs+Byj49OWUB79IxHvv9LhSWuTNXkbS32M49V0KVi/jmRcxtGqqgj+HKq6UcitaI/RN/BXJ/D4kRdxaI2WBzxDzfghdLUUIBSltcuZ5hlLfZDT1BEV7hLHM0+hqGVXBn0VR5uZ9x7MvogofYc8dlAU+h99Yi6p4Jvc9ykjqcQZTXyNv9pI3u+md+GOaS/4vKoFbqHUusWWavsSfM5F7FYGGz1hDefDzhD13oimhye1McuYFhlPfZST9BEVrgNHMU7i0GsoDn0cVN7azsUvX2LG0gZKgj8d3H+NQZx/j6SzpQoGCaU1Tp6bkg6d6j9y/egkf2rCMsNepa9m5rJFojwfblriNq0db6kvCfHLrGiI+D2f6R0hm82QLRfJFk4JlYdnS6eouHW6iqgh0TcWj6/jdBmUhP3cub+Kjm1bid18fhcZt6Dy6cTmr6yp49vBp3jnbzeBEilQuT65oUpycj8ApENcUFbeu4TY0/G6DWMDHhsYq7ljWRFvl7C+YyyGEoK4kzNr6ixLJNdHQFb1Jbib6ukd56KMbefb7+x31NXFtcnvXg4l4mqra2BWGq6oqREv8HNg1uxTnzYZpF0iaw1h2ESEUvGoYjxYkayXJWykEgqLM41VDeNQQeTtFxpzAlia64sGvRbGxSJvjBPQSVKEzXujFq4YBSJmOQSOljaF4CBplmHaRlDmKKfOkzBHsRRQA3gykUzk6zw0z2B+npa0Cw9Dx+VwEQrM3ZFtVVs6J4WFe7+rkqbOnUYSg0h+gJhh0/gZCNIQjtMUW9ozcaJR5/Nxf18qqWMUNH1tgYGht5HKvYll9WNYQUubwuO8hm3t1MouRAWw0teqq4/04IWdniRfGkNzcZq2X4va2RvKmSXqS3vqZbWvn3HYil2c0neEja5fzpe2brml/F84OUN1QSjjmR0rJmSM9LFldM+f2bl0j5vORLsQxbZtUvkDeNHG/i1mM7vRbWHaeOv8deLQoKXOAeOE85e61eLRb21DuldPnONjVd0v3CbB9aysb1zfQ3jHE7/y3J7j/3pW0NJXNeG8qikIk4qOxPkYg4KyVOatIopijNVhGQ6BkRjZFV1Q0oZC3ik4bh0kaaoUnxB3lbbQnhniy+xArI9UElVvoYAC41Gr+/+z9d5gc933mi34qdnWOk3NGzok5k6ICFS3Jki3Lcvaxd9fru2sfH9/7HK93vefu7tlkH6/tXQdJlq2cRYliFEGCRCJyGMxgAianzrHi+aMHAwwnYAYYDECLLx88ALurq35dXfWr3ze871sb/FUinqfnvS6JPqLepxEFheHkfyFvXCCnnyFTPIJH6USWFvaL5/QzTGa/DNioUi1Nkf8ffm3+DSUIEprSSLX/swiCymjqz7CcDOnC6wRcBwi675u3vePYxPPPkikdxXFKyGKE+tDvEHY/MS9oEAQRt9JGffBfIIshRlJ/imknmMl/j4C2n4C2b5mz4ODX9lMb/E286nw1F0WKUhP8ZRxsRlP/A8tJkyy8TK50moB23xL7uz3IlI4zlf06IKApLTRF/hCfa8e8bQRBxq20URP4ZQRExjJ/g2WnSBV+gt+1F7+2e83HJYkim+uraK+K0j8Z58TAKP1TcaYzeXIlA3DwuVxUh31srK1kb1s9FX7vvCzMv35moefBcvBpLh7a2MJ9nU1MprJ0j00xOJ1kMpUtBzilawGOIkm4VYWoz0N9NEhnTYxtjdW41bVtc2upjPAbT9zDx/Zv4+zQBN2jU4wkUiRyBYqGiSQI5SDL7aI65KcuHKCrpoK2quiqAwNZFPnVx/bzq4/tX7Pxrxb+oJuJsSTpVIGBnokyD2KdSYSqqpBK5BZogju2QzZdXEA0Xi8UrDTd6YPkzQSWo1Pt7mJr6ClG8mcZyB3DL1dQtDI0eXdR69lIX/YwE8VeHMdBElU2Bx7DxuJU4gfcE/s0PiXK4ekvsyX0BI4Db858mWqtg5KVRRRk7q/8LGljgpOJHyAJMoZdnNdGcidw4ewIR9/sJRHP4tIUhq/M0Lmhlp17FydGf25HeW4ybZuhVJJz01Ocn5qke2aaVwb6Gc9m2VNbxxc/9LH1/BpAOUu4OVrF4/Udt6VuLQgqitKBg0XJOINpDiAIAVRlMyX9OIbZh0B5cShJNTfY2zsfcX2amdLy5rxXkTaSGM76eikNTifon4pTMi3AQRJFntjSsei2lm0jiyKV/puv7H7tr37C5/7108SqyipSX/qzF/ijv/rsktsHNBet0RBXEkkApnM5RtMZWqPru5DXrSx5cwobk6IVRxbKa7aSlcJxbMJqG4p4LelZMOMUrJly4kTy45Nr7hphnbWCy6WweVMdne3V7N7ZxK4dTTf8jg5leVqXqOCR5geJrlkSd9YoUbLNed43G4LVuGWF04khDHt1nR63/PQQUPCqmwi5H15yi4B2D37tdQpGHw4l0qXDhD1PLAgwHBwmM1/FtvOARMTzngXBxbzBSyH8rj24lQ5y+mnyRg85/SwB7cC86ohpp0gXX8ewpgCIeJ4ioB1YsiIhih5i3g+TLLxMtnQc3Rwjnv8RfteuJRWVJMFHyP0QbmUp0p5Ihe/jzOS+T944DzjM5L9PQLuX9WuTcpjM/CNgIQpuwp6nFgQX10ORovi1vSQLL5E3LpLTz5M3uvG5dqw5F8O0dfJWGklQ2FBXyYa6+T2kKX1q1s05hCQoFKwsaXMKnxxBFpfPqNiOhW4X0aTFKy+yJFIbCVAbWbn82u1GRcDLI5tbeWTzyknj70Ts3N/G4Ve7KRUN3vzJJQ483IV7nQnV7RtrOHWkj133tFPfHEN1Keglgyt9U5w7MUhTe9W6jgfK1UZV9NDi24OAwHD+DJPFXhznKQAUwU2rbz8VWnmhPV0aJK4P0+l/gDrPJg5Pf5mJUi8hZf5C0pmTP3CwnBL3Vfw8OTPBwcm/JamPktBHUQQXD1b9EgPZ41zOvLGeX3sBkokcHV01FAs6wqwf0XLT5WQuR6pYJFUqEi/mGc2k0S2LoMtFazhCfSDI9qq1rx6sBBVuLw/XtVLnuz3zjCBISFIMSQyj6xew7TiK0ook1SAKYQzjIpJUgSj4fyoqGMfib/LS5A9xS54bCpRYjkneXN9K5RdffwtVlgl6tHJLyzLiBX7NRcTnYSiRomiYaIs4dt8IsiJiGhaO42Aa1g0rxVGvh+21NRzsu4Jl2/THk5wZnaAxHFo3JSnbMZkonmI0fxhV8JIxR4io5TVW1hinL/MctmOyKfxJ/GItpl2iP/M8BSsO2FiOwfbIL+GSljYovFm0xsIYi0hp3w4s1SHx+KObqKxY2XxSVoOS0W2TgjU/mPbKLjRJYaqYIWeW8CvavPdERKZLWaxV2gHccoAhiQE86mZEYfGSdXkbHx5lA6pcQckcJq9fxLBmFhJT7Azp0qFZgrRC2PPEDY+vSFE0uYmcfhrbyZaVpuwssnStj7KgX6BkjgAWAjIh98NI4tJ9lgICshgg7H6cbOk4tpMlp5/FsGdQpcUXGy65AZfciLhMH6AiRfBruyiYvThOiUzxMGCznHngWsK0U6RLrwMgChoh940z/qpUhUuuJ29cxHLS6GZZaUpepA3tVqDbJeL6GJroxSsv/G16s28hCAIb/AfwyAo5M0m8NIbL60Vm+QCjZOfpy55ic/D+NR3zu7h1dGyqJRz1MTYcx+fXiFT4kZX1rRg8/PQ2/uI/PMuX/vJldt/TTiDsJRXPcfLwZeIzGT7yC+tbZQSwMZkq9dGd/glBpYYZfQDHuRYguOUAHjk0t71p60goSEL5QaSKXkxbBxxsx6Qs7mBTsnMwq9EeVGoQBRkBEUXUMO0ilmOgSuW5XBIUlGXaQtcDHq+LibEk05NpMpkijuWguZa+3//h7CnOT01RMHUsxyHoctEQCLG3rp62UISmUIgKz9q2eK4EIgLNgTAP193ehIEgaMhyC4Z5CRDwqI8iiWEkqZpC8UVkJ48kVSFKFbd1HHcDLMekxl3P1uBOVHF5vkvOzPDjie+v08jKyOsGv/HYAaK+GytrVgd87Kyv4djgCM3RMB0VUTyqsqgcbVDTFuXhVdVHOPXmZSprQ2SSeSprl1ccDGoaexvqaY1comd6hqFEkhd7L7OpupK2WGRdzCxLVoaUPkjE1UV74GnOJ76CM9u2GdW6MJwcE/lTc9vnzHFG80foCn0YVfRzNvFFUvogle4tazquVLbAk53tfGTn5jL/4TajKbr4b/XowyuX5PXILiIuH0k9z0QhPe+9qMuHX3HTk5lgupilSgvMXZMzpSymY2E5Nqt1u1+DAMODS2644XYuuR5ZjFJiGNOOY9rxuUDiKgp6D5Z9NYvgkNcvoltLKysAmFYcw7pWBjXtNJadnh9gmAOYdhKgTOqW6xGF5bOkoqBdR8IuS+YWjL4lA4wyEf3GpUOPshERBYsSJXMM086gLNIqdjtQMLqx7bIil+OY5ErnZgOvpWFYkxhWfO7/TTuJbWdBXLsAQ7cLpIxJBAQ88rVoPGsmSZTGsByTtDFFQCn3TaeNGXJmEq8cRL4uoJsuDZMxZnBwCCoVRNQa8laGwdxZTiaexysH0UQfVe7mWzbaeRdrgyt9Uwz0TlAqGuW568IYDzy5BfcyDrNrjW17WvjoZ+7j4PNnefbrR9FLJqpLpqI6xIc+dQ/bl2jHuZ2wHJOcWe4Jr9TasBx9jjOxGAJKBbKoMVnsoWinyZhTNHl34VfKlcDhwjk8UoiilZ71uhEW3AOSoOKTo4wWzjOYO0G8NITp6Lf1e94Ire1VJGaypFN5spki23Y2UVO39Hx5dHSEwVSSllCYA3X1bKmspNLrI6K5CWvuO6aC41NVtsVqqPPdXgKxILiRpWbyhe8gSdUoygYEwYciN5CzZzBNcLm3IgquWT+EIo5TKHs2zf5t2XEsaxpBUBAE31y12nEsbCcLjo5lTcEsp8+0Jsvb4kIUPbOthjq2nZ/14ciUPbLsZPlzgjorV397fwtFVGjzdnJf9BFc0vIBRtpI8erUC7d1PFdxYXSSfMnAAV6/NEht2I8olD0LdjYtXlkyLJuiadI/E+f/eu4nbKyuoNLvXZTo/cHtm9hWt7BK9+gzO/nxN44x0D2GZdm85xPLtXyXhUM6KqJ8ZNtm/vrwMaZzeQ71XyGkufnEzi20RSO3nY9hUyaYlxMnApLgwmbpVjbDLmDYOaYKZ5FFNxXa1nntU2uFVK6IbAt0VMbwe9ZYrGGN4DgOpZJJLl8iGvERVj00eSMcmxmkPztNyTJxzbZCNXjCVLh8nE2O8MbUZSIuLyHVTUov8PpkL1mzRMzlR1xlMvzWW6QEdY58veyBpNCspwSAg2kncRwDrptkSuYQOObVLRhM/NGqx+OgYzP/oWhYU3OStIpUhSis4IIQJBQpiii4Zo3oChjm+JKbS6IPUVy6inMVqlwNgjQbCFqY1tS6BRhFY3AuA2o5GQYT/+eq92E7JexFelXPxsfpSU6j2wtLhrIg8kRDBwF18WyoYeuMF/sYLfTQ5ttJQIlh2gaD2TOMFnvxyxES+gTu2eCjYKXpzRzHckz8SgRFdJE305xOvIQquREQGMieZn/sGYpWnunSMCljmolCPwElRpW7edXfeyWwHYeZYp6LiUmmizksx8EjK9R7g7QHo3iUnw4vhaxR4kJ8kr5MfNH3qz1+tkVrCLvcHHz+HIZhEon5rxk/3YQr+61AEAUef2YnW/e2MNg7QSFXwu110dhaQXXd+vYbX4UsuKhwtZLSx5kpDeKSfERdTQhAQKlEEmTk6+YxjxyiybuT0cIFJgu9VGptVGptuCU/zb69pPQxClKKTv+D+OQoDlDvKWf1ZNFFnXsTHjmMX6gkY04xVbyMIrpp8GxHvQ0P6JWiujbE/Y9upLmtElkWqW+K4fUuPX//8s7d9MbjDKaSdM9M059M4FEUgi6NiNtDtc9Hwx1ok6pwe3mgtvm2pzUEQUNRWjCzQ0hSLYrcgiCIiGIMQXDjOHkkqawI5jgFCqVX0fWTOE4R3byEbSfJ5b5GST6EIHjwe38OabbaYVmTZPNfxbYzWPZUWSFRP0k68+cIghdV6cLreaa8L+MEheJBbCePrr+FbcfJF36EYfQhikE87sdRlU239Vw0edqwsVFu0EIL4BI1GjzN68I5Ojs8wWQqS8zn4Wj/MJUzXiRBRJGlJQOMyUyWY4MjcxyMZKFI8jqT1+vxUMfiCZGaxig//8+fIJcuonlVJOnGmfewx817NnSQKhb57tkLjKYzfO/cBcYzGR7raKWrsoIqv4+wW8O1jHTuzcIl+nFJQdL6IKO5N8kYw7ilKOCQLPUTL14iY4wwVTxbTpAo1VRoW4i4OpFFN45jE1CXJrIvhVS2wFQyR9jvJhr0MjadJl/SqY4GyOSLjE2n8WrqvArSW93D+D0ukpkChmWxZ0MDiUyByUSWrW01ZPMlBsbiNNWUnykDozOk8yVkSaS+MkRdxdomH2zbYfDKNKfODPHxj+6jQvOzKVjLocnLDGSnGS+kaPKVlS8bfRHaA5WcSgzx9cHjjBdS1HpCjOaTvDh2gbyp80j1hnncjJVgDTgY0ooW7KLgmvVZKMN2CjjMJ4xYTvq6HmEBWVz9wlsUFhrj2U4BZzZwkQTPrD/F8hAQEAQZUXDPupObWM7SPZqioMz7fktv55mXOVxun2sNy05xrcQlrigwfDskwc1iTdDPD/Xy+YvHSOoLJz23rLA9VrNkgOGVg7R4t2HY14zrClaGhDFBrbuDTYH7eH3663PnrUprIedLMZy/ODeWiWI/eSvD/ZU/gyQoPDvyP5goDtLi3camwH0M57vZH3tm1d93pXAch4l8hs93v8XLI71cyaQwbIugqrElWsUHWzbzVEMn3p+CICNeLPC1y2f46uXTi77/YE0Lv7frYcIuN4Zu8sCTW2jrqr7jRLyqmtBd4xItCiIRVz37XB9f8F6l1gYsdIyv1Fqp1Ba24HQFHlj0GBFX+cGrST42ha5p4m8OLq+Pv56Ymcpw4dww05MZBCCZyLNxSx2BoGfR7R9pbuWR5lZs22Y4k+Hs1DhnJssk775knJyu80BjM//3E08v+vnbARGBKrefrZHbz+URUHEp2/B5fhZV3YwolpMyityMz/NxHAxUZcPs1haOncaere67XddaSG07A0J+3jPaoYRlT4NjIApu/N6fK7/uFHEcfW4/ZXfwHLadAEBVNqMqm2e3zWHbJo6z+OJ4OZiWTff4FGOpDC2xMG2Vy8uCd/g3LPv+9VBFlSerPoC2Di2BD21oQTct3ui9Qp1lE/G5ifm8xPyLX9MATZEQ//KxlbVqtsUWPy8D3eMM9IyTz5VwbIdgxMt9Ty7fOmQ7DiG3xv2tTQwmkszkC+R0g1d6+zk5MkZXZYz2WJSagJ+g5kKVZKRZNcDVosLn5UDT/G4YWXRTqW3FcWzSxghBtYmA0oAkuCha5evLr9SiW1kMO49fqaXV/ySTxTPY1jSCA6tt6wHIFw3ePDtAU3WE+7a38MbZAQRBIBLwkM3rHO8eQtdNamIB3LMtm9959SwdDTE8mophWuzoqOPyyAxvnOlna1sN06kcPz7SzUce3ka+qPODQ+epCPkI+t0EvNqaBxiWZTM0nODosX4+/tF9BFU3OyKNPFDVyYbgfOK7V3bxYFUnZ5MjnEkM89XBY/P2Ve0O8nTdFtzS6ipWaxCuO3AT0m6LJSmd6yQRBSRqA78Oq3SP1uRmlAWByfUHW+2Ff3V7h+UuVOcG7y//ufWBw7XzKwnemzq/bqV9Ts72dsLBLkuyIoIAEuVe8cW2hDKRu5x9Kv9ekiBjXa20CGBjzbWG3A6Yjs23+8/xv84fwXSu3Q8zpTyvjvYzUyxQ6fZxf03zbTn+OxWqS+HYa5cYG4qjqOXAf+f+Nlza+rWy9PeMI0kidU2xeS7Rhm7Sd2kcf8BNbePNeZy8i1vDpQujXDw7Ql1jBMuyeetIH/6Am01bF1+MnZ+aZDKfI17IM5MvMJXPkdZLVHq9RNxucrpOS2h93e7dskJnKEbQdeMK961CEEQUpY1o+N/Ne12W6wn4f3nea6Lox+f9OD7vwiB2MShyM9HQH99wO1H04nE/gcd9Yw7lauDgMJ3N8ZPufhK5wg0DjNVAEARafYsrOK01KgPlKoRbkck5Bql8kbFkBkkQ+fn7F782Qx43B1oab+m4L3//BKIocurNy7RtqiU+lb5hgDEYT/KdsxcYTacZSqa4Xsk7WShyeHCYw4PDAKiShCpJKNLN+czsa6xfEGAABNQGAurC16s9u6j2LPQnimidRLSlxHZWhsqIj4BXYyKRYXgiyUwqy5a2WoJeN2G/h3i6gdO9CyVqqyJ+Ht3TgSSKyxLAVUWiIuyjOhqgKuKnJrYyovbMTBZ9hZ5dum4yOXWNayEJIlvCtVS7H6NSCxBU589HOyONfLJ5L35Zoyc9Qc7UccsKjd4Ij9dsZk+kGWUVErWwBgFGuS/zxtkI2y7Ny4ZIoragkiCKvmsLQEGiwvfxeVyKm0W531MGBywnP2+hvRQcnNnvVjZuE5ARhaUzDI6jz1VJloNt5+cFFZK4foZi5WOVz68oalT6Pol0G9QVVgPHcciacS5nTzJe6CNtzBCQY4TUKrxyiPFiP5ZjEtfHiWn1ODgM57sZyl9gqjTE5cwJWn07qdAauZw9wfnUa7PVJ4kqrQUEkAUFRXRxOvEyIbWKJu/mGw9sld9Btyy+0nt6XnAx9z4wkInz6mgf91XfWE7upwkNLTEunRthqH8KRZURgG27m+EGxP21xPPfPkG00k91XXhegKGXTI4evIQkifzsrz68buN5F9dQKOi0tlfxyFNbwIFv/OOb6KWle7A/f/oE8UIeKPvWxNxean1+qrw+qn2+2b/Xd87zqy62xVbXknVxbIqB6QRFwyTm87CjsYapTI54rsCWuipciszxgRF8LpX2qijnRycZmE4giSLN0RCb6qqYzuY4MzyOV1WZyeapDPjY3ljDeDLDhbEp8rpOQHOxua6KyoCPnolphhMpMoUSed1gS301nVVRhuIpeiZm0E2LmpCf3c11ixJ8ddNkcCZJ/3QC2y57B3VWx2iOhZnO5ugemyaeyxPQXGysraQy4KN/Kk7v5AwF3aA66GdLfTX5ks7ZkQlMyyZX0qkLB9jdXIciSexprmckMZ+gmi2WuDA2xXgqg1tR6KiOLkmKvZtQHfIzmcoykc4ynckvu22mWKJ/JrGi/TaEg4Q9C4PZ6fEUv/gv30MhV+Jnf/NR/uY//vCG++qZnubPXz+8ouPqloVu3byqUqZUuvFG6wRJFOloqOCt7mF+fOQiAa+b+srQsiafADWxa+RoAZBFgZJh4jgOhmmRzpfXyg1VYR7c2UbPlSlOXBomnSvy6O4bB7g/+NEpRseSK/oOlmUzOprEcx2fMax6CauLt7xqksITtZtp8sa4lJ4gYxbxSCpt/go2BmvRVtkeBWsRYGBgzJVGl4Zpp7DsqzeRgCSGEN5GtHZJNdf4CY5D0RzAJ22/1SGiSBWzwUESw5rEXglx0bEx7cRc8CSKGsoyyhuWncVylp8kAHRrEq5WagQJRVy/zKgqXXPjdRyLonkFr7S2i+2bgQNokoc6TyeSIOPgoIgumrxbcYkeLMekxbeVsFqNIrpwcAgpVXilIKqoAQ4+Ocrm4IPM6MM4OGwNPURAKZ9bjxxgR+hxClaGm6kyrQRpo8SVTHLJ93OGzkgujW5bc8SqdwHb97awafu17FQ2XURdRiXoduD8qSvc++hCNQ5RFFBVmZNH+vjZdR3RuxgZitPbPcZg3xSFvI6um1i2zfhYgg2bl3YV315Vg0uSKJomiWIBlyQR0tzEPB7awlHqA+svRe1VyhWM1cB2yiaflm3z7JluqkN+bNvhuyfO0xgNEZUkvnLkFJ86sJPpbI4fnLrIxtpKsoUiz53roTroZzqT4/mzvexoqsGrqnOJrav7tWyHNy4PIYoiMZ+XVy/1I4kiXlXlubPlfdQG/fzwzCWqA35kSeR7Jy/QEA5SHVoYpJVMi7PD4xzpH+b+jhb643GmMlmCbo1TV8a4PBWnyu/j5NAYhmWzua6KVy8NgOMQ9Gi8emkAt6rgOA7fOH6Wxza2Y8/+u7UyQsS7MMFnWhZ9U3He6L1CUzRE/3SC6WyOiNeDX7s7ybdXceTyMP1TcTRFZmdTLXtbl+YKDMaT/LeXXl/Rfn/pvj3c29q04PVgxIswW1049uolkjMrcJleXzrcXYXmmgine0c5c3mcZ+7fTGXYh+04nO4d5fjFYQbG4xw82ce921qoDJcTxW83u4uFfOQKOt997RzZfGlWCRCmElnOXh4DoFgyyBVWFly9eaQPHIfKysANgx3LsjGt1XUXqaLMlnAdW8JLz7GrwS2vdCw7VyZn3wC6NYppl0mfshhCESMLOAtutRNJcGORAmzSxTfwuW49wNDkFmQxhG6NYlhT6OYYbqV9WUlZ2ymS1y9w9Q6ThACavLSajG5Nzn2/5ZA3uudUEFSpcl3aja7Co26cJa3nsZ0SmdJRvK47G2AIgkBAibI5uLBPPKxWEVYX9i03eDbQ4FnYX1vn6aDOszALoIpuugLLK2bcKgqmgb1sC105w2PaNq7br2r3jkEwPD+bcurYAJW1IeR1kP67ikKuhD/oXlBZEkQBt9dFLrv6fvF3cWsoFQ0S8Sy+gIasSCQTOWzbpqIySDC8dCX5k5u38nxfLz8Z7KcnMVPOqDrgURQ2xCp4b3snDzW1rIvE5lV4FRcN/tCKt7dsG90sSwu7VYWB6QTZos6WukokUWRgOkE8l8ewbDqropwcGuPElTFaK6IUdIPxVJapTJnb51YVttRVs6m2rCZmOw6GZWE7DpoiM5XJMp3JzVbsQTctfC7YWl9FR1WUyUyOtwZGeKCzBa9LZSKdZSSZXjTAAEAQqA76ee+2Tt68PMTR/mH6pxOcG51kMp0l5HaTzBcZTaZRZYlUocgTmzvYUF3BXx88Su/kDPXhAJIg8GBXM2GPm9cuDXBlJrVogFEwTLrHp+ken6I66CdTLJEplkjli3d9gHFvRyMdVVHGkmn6puL0Tszwr9+/uHS8IomEPQu/v+XYc9WNkmmyv7lh0e0A7n9qKx6vi32PbKTvwgj3PnHjZ78iSYTc6yNV7VPvrt/L7VLY2VVPJOhhQ3MlLkXGcRwUWaK1LkptRZCAx4UklPtuntzXRVXYP9eELQgCNbEAT+7fQEk3CPk0OhoqiPjdFEoGHpeKIMDOznra6laegHj0kY3s2tGMcoNnZKlk8sbhXk6fufH6/HZhDQKMLHn9Apadu04l6u3b5Mjr3XNGd26lA1mKLHigK1IMr7odvTCFg0U8/xwVvo+hSKvL/rwdHrVz1svhEg4G6eJr+FzbEaXFqwcODpadIVl4CQBRcONW2lHlpUl6ujlC0biCrZWWJL2bdpJc6URZPQvwu/awXh4YUA5ofOp20qU3sJ0iicKLRL3PoEh3RinnnxK8soIkCEsa0YiCgFtWUFeg3PHTgP6eCeo6yv4Xyfg1oYNXnzvLrgNteJZRClprBEIeRq/Ese35v51l2kyMJvD67qwXxE8jauvDBEOLL5R8/qV/j+NjI/z5scPEPF4+2LmRoEvDdhym8zmOjY3yv04cI6y52VG9Pk7WiihS5fbhV1Z+PU9lchzpGybsdVPh92LZNrZjI4kiD21o5fDlIXTL4rGNbaiyhCyJiIJAyKsR9rppr4wS9XuZzmRxyRIhz7XzlcoXOXFllGS+SEdV+blq2jaCIOBVVfKGQcjjZlNtJVGfl7xuIAgQ9GgENBcf3b2F2tDSVSDHcTCtcqrFdhwcHGRJRBIE3IpC2Ovm3vZGakMBdLMc6Diz951p2XOBn2HZc9le07YX9XuA8iJOEgVUWSLsdc/9CbjvrsXqYhiYSpDTDRRZJub3Lmu01xgO8b89fGDB67btkNd1+qbj/PhCD/XhIGHP4veH5lbBgW37WqlrjhKM3Fgdrqsyxv/++I39stYClb47p1a3FDobKuhsuNa5IggCm1uq2dyysOXxvu3zE9CCUA5SHtq5UJAj6HNTHV19NbW+LkxXRzVNjdF57byLQddNBgaDNwwwLMemZJkYtoUqSrgkGXGV3NylsAYtUjp5/QKpwkEi3qdYSKJ2yJbemjWsKwACfm3fon4SAiKV/k+QKr6O7WTJGxcZT/8tNcFfR76B74Lt6NiOjii4FlQmZClCwH0fWf00hjVOPP8cfu0eQu4HFw0GbLtIIv9jMqUTQLnFKuR5dFnvDMvJkioexK/twatuWvQ8zOR+QNEcoEyKFwh7nl5ku9sJkUr/p0iXDgMWOf00k9kvUe3/xRtyQWynhOMYCIKGuA5Sfu80+BUXbcEol5LTi74fVDXag1HkVZKk3o7nDp6nq6WKxtoIDg69A1Pk8iV2bbk5AmD/8Awnzg3hdavs3d5MZAl1nrVGNl1ALxkcP9SLIIDPX+4ZzmYKszr664ft+1p5/cXztHZVs+tAO76gm0wyz/E3ejl1pI/9D61cjWYt4DgWtnkJvfBdFPd7kZWt196z0xjFl3GcFIr2HkSpEscuYBonsPTD2PYMghBAdt2LrOxCED2z+9Qx9aNY+klsawKwEKUaZO2hefsHsMxBzOKLSOo2cAyM0ms4ThpRakBxPYqktN/2c6C51fKCaJX42oVzuBWF39p7gM0VFahSOeuYNwy2Vw3zl28d5Ye9l9YxwJCo8fpXVTERBYFcSSdb0rEcG6/LhTKbmNjVVMsPT3eTyBf41IHtSKJIW0WUfa31DM+kEESBsEcj6HYxnSm3wFwvbCEKAiXDYjSZxutSkUQRj6pgWhYFw2AilcVxHAamEiiSRHXQz73tzcSzedKFIo4DD3YtXcm3HYfBmSRfeuMkk5ksjZEQLbEw6XyR00PjDMeTOEBtKEBbZYTu8SleuXiZQ5cHSRdLPFTdgmlZGJbFd09cwLAtQh6NxkiIdKHE905e4PjgCLIoEvJo7GtpYGNNJSOJNEPxJAICbkXG47p71fpODo7RXBGiOuTHsm3CXjchj5uxVGbJz7hVhZZleCVdVRUk8gUO9V1hcCZJdWDheqn7zBCv/vA09S0VbN3XiupSbsgHrA0G+PDW2ysnfLcgr5cJ93cjIl43LkXmIx/cTW3tjbkgAJIk0tgQZf++hQFOwdS5lJ7gZHyI4XyCrFnEsm32V7TyaPUGwq5ysJc1SuTMEgJlMz5plQ7ua7JSLJnDjGf+DgeToHY/shQCwLLzZEvHmch8gbzRDYBH6STg2rdka5DftZ8K74eZyH4Jxykylf0Kpp0m7HkCr7oJWSxXPhzHxLCT6OYoBeMyef08LrmOqPeZBZUJAYGw+wmypeMk8s+jW6OMpv8c00oQ9jw6u08Rx7HRrVHiuWeZzP4jtpNDEnyE3A8RcO2/4XnIFI8ynv4bKnyfwKtuRZr1xTDtJIn8C0xm/h7TLk8iAdcB/K7dN3vKbxpB7X6ing8wk/8Olp1hMvMPGFaCsPsxPOoGZDGMIAjYjoFpJSlZIxSNy+T1c2hKB1HP04jr5NtxK9BNk2+du8C9TY00hG63uZWAKkl8umMn//b4ixj2/L5HRRTZGq3mifqOWw4nz1wcJRL00lAbRkAg5HfjvgXFJb/XBQ5cGU2wqaNm3QKM5vZKgmEvkQo/jS0VxCrLD8S+S+PX/DDWCY++bzs950b46t+8ysHnzuJyKxQLBhOjSSqqAzzy3m3rOh4QcBwLs/QGIM4LACxzEKP4fUSpHkHQcBwdo/gj9MJ3EAQvglSBbfZTMk7ieD6Doj2EIJTnIaPwLDgFhFl5aqP4I0zjBJ7gv0OUrmXkHHsavfgDROMMgqDNBikijp3CWUdZ7ZvB6YkJnmprZ3NF5Vy18Gp2fltVNZsrquiOL54EuB1QRImYtrp7KuL18J6tnSTzRVyKRGMkRGMkBIBfc/HxfVspGRaxWQfosEfjw7s2M5JIIwjgUVVEQaAmGOB92zcQvC6j7dNU7u9ooqUijCpLtMYiNESDXJ6MI4ki2xuqCXvdvHl5iAujU9QE/bx3WxdXZhJYjjNHXF0KqiRRGwrQURWlqyZGYySEX3OxraGakEcjXSz3moe9bnyai4e6WhhOpCmZJmGPm5ZYmL6pOBGvh9bKslv0g53N+DWVkmnSVR2jLhxAEKDC78OlyDTHwjy5pYOZTB6EskqTeBcbqT5/9hKfOLCd/W0Ncwt807L5y5cOs7v55nrfVVmiLhwkXSwxk1ucC7p5dzPhmJ/4ZJoXvnUcza3ykc898K7oyCxOXhnlC2+cuNPDWBS//eg9bK6rYkPXyhMjoijQ2BglFpsfbI7lkzw7cpafTHRzJRcnpefnxGl8iot7Ktq4usK7lB7nm1feIm0U+Z1Nj9Pkja0qWXLLAYYixnCrXWSLxxm2pplRvocqVyKgYNgzFPReiuYAtlNAFsPEvB/Bo24pqzotAkn0UBP4FQw7Tjz/Awx7huncN8iW3kKRKpBELwISNjq2XcSyMxj2DKY1TcjzBGHPexbdr0uupsr/WQwrTqZ4hFzpFKNWgnj+R7jkGkTRg2VnKJkjFIweDGsCQXAR0O6j0vfzc0HTUvCom7HtEon88xSMXjSlGVmMADa6OU7euDjrmm2hSjXUBn8DWQwuenPbjoFujqFbE9hOofzHzmPaKXL62bnt8kY3M7lvz5oHupEEDVF0I4shNLkZ8W2a3uVycoDa4G9gOeUWMN0aZyr7NTKlI6izZHgBabYiVMC005h22S095v0IYffdo5G/HEzH4a3RUTZWVtz2AAPKEnDvbdpA1tT54eBF+tJxDNuiyuPn/upmPtK6hfZQlJHxJCcvDJNM55FEEUGASNDLvu3NJNJ53jo3RCKZozLq5949bURDXo6dHuTMpVFURWJyJjPrwAuHT/VztnuUDW3ligaUCWPne8Y4cW4IB2isjfDoPZ0MjSU5crKfdK5EyO9m345mmuoixMI+GuvCFIrr69jsD3pwaQr7H+zE53fPydJ+4JP7lzVSux2oaYjwmd96nBNv9tJ7YYxcpoTH5+KR925j54G2dZeoFQSxXF1w7cfSj2GbQ4hyw2xl4zKOHUfS3osg+rGMs+iF7yGKFajeTyJKNdh2gmL6P6Hnv4akbESSmxCQUT0fQRA8CGIQsBGLr1JM/19Y+mlE9/ySv2PHcQQNxfuLSHLXbALGQrwJb6L1hCgwWwFbWAUra4c468q/UESR6CoDDFkS2TjLmVgMu5rmL0JFUaQ5FqY5Nv+3CXq0ecEFlNVxmmJhmt62bckwyRZLJPMF3KpCwTCoCvpQZImakJ+apTgXb4MoilT6vRxom19RDbg1ttQvbCupCQWoWaTlyiXL7GiomTd+TVHY07I4EbqrugLW1zvxpjGdyWPbzoJnf9/0jTmcyyGVL1I0zCWv78a2KuqaKzjxeg8n37hMMa/zkc8t7pHz04jxdIafXOq/08NYFJ/ev2PZ96+uCd4+76mKhHpd0nCskOLrV47zrSsnmCqWk93LzYZRl5eziREuZ6c4UNFKjTuEtgovjFsOMGQpRoX348himET+eYpm/2wrkViWbp2VplWkaip9nyDiff8Nic2qXE996F/gkuuZzn4dw54hb5znmkO8wNtPpCC4kMXgMm1MAl51Kw2h32Ui8wXi+R9TMgcpmYMIsyaAjmPgzLqAS2KAqOcDVPl/DreysMT0dniUTXjVLczkvk1OP0NOPzfbfuXMKlGVx6vJbdSH/hl+116W4l9YdpLp3NdJFF7CcczyHwwcx8C0r0n05fXzlMzhORNDQZAQkHEpTTSGfg9NbF54FgQRt9JOfeh3ccmNzOS+g2knyOvnuJb3WHh+RcGNLAUXKH/dbfjRpUucGitLM6ZL5XJnqljkm2fPM53PoUoS+xsa6IhGOTU+TsTtZkdtDb3TM/QnEmyouLmARBAEYpqHT3fs4L7qJlJ6Edtx8MgqtV4/NZ4AsiiSyRWZnMkgSyLpbB6fx8VMMsflK1P0XZlG01T27WjmtaO9XOqboLUxxk8O97B7ayOVUT+HjveVH05AQ02Yi73jDI6UH0yO4zAxlebFQ908uK8dj1vF79UQRZFw0M22jXUYhs2bJ/u5eHmcxtoIdzp5FQh6kGRxbvx1jVEkeX15KoIg0Lahhuq6MMlEDlO3UFSJQMiDL3D7vQsWHZMYRFbvxywdxCi9jkv+JI49jWWcQhBjSOpOQMA0LuDYk0ju9yAp28vmoFINsroLPf+P5UDBaUQQRGT1WsXUcRwU7WGKmf8/tr1Qzx0kRLkFxfUAwgqMVO8W7Kyq4aWBPh5vaWNrZdXcIk63LE5PjHN8fJQHG5vXbTySKBJaB/+LW0VdOMB7tnaSK119/ok0RUOr4oy5FYW9LfWUVqjTvxQaIiE+dc92POusJrdeCHq0Mik95ENTyt+xZ3wat7L0900VilyaXLzyZlgWQ/EUz57rnuOiLIbDL1/g5KFe3F4X9z25haq6uztZ8C5uDF03ef7Fc5w+O0w6XVh0m472Kj73Cw9QtAwOT/XxrcETJPQcW0N1PFTdRYsvxveGTvHKRPeCz9Z5wtR5wwzmZjg2PcD767atb4AhIOBSGqlX/zl+116ShZfJGxex7CSC4MIlN+FTdxJyP0pA24MsRhFuQCARBAFNbqM68EsEtftJFV8jWzpF0ezHstNzXAtFDKPKDXjULnzqdryu7Uji0sQZUZDxqlupC/4LgtqDpIoHyeqnMMxJLKeAJPpwSW34XDsJag/gdW1FlWtXZM4mCBIB7R686haSxVdIF16naA5g2VkkMYAmN+J37Z9t9dpaDmqWWN3ZjkHJHCKvn1v2mLZTwLYWXlS2U1zWm0QQJDzKBmoDv0bI/SCp4iFypdOz401jOwaioKFIEVxyAx5lA17Xdnyu7cjr6NuxWkxks3zvwkV+cfduBEHgYP8AAJosc09jA7pt0TsT54Xey2yvqaZkGpwYTbC9ppremTiT2Sz7GxYa+qwUgiAQcrnZcYMFhdetUhn1M5PMEfK7SWeLjE4k6RmYpFA0GByZYWQ8SWNtBJdavkU3tFVTFfNTEfGX+y8FqKkIUF0RYCZZbluxbId4Ko9umOza0ogyu1C3bZuJ6TQnzg1hO9A7MEko4MZxFmbR1hs//OZxdt/TTl1TuUrwrb8/xAc+uR//HVjYe/0a3mUIxOsJQZAR5WZEuROzdBDV/X5scwDL6EF27UOclZx27AS2NUop+z8x8t+e+7xtj2JbEzhOljLnS8QsvYFReh3bGgI7g+3kwTHBWegrIQgaolj1jgouAD69dTsnXxzjD19+gY0VFVR6vFiOzWgmS29ihpjHw4e6FkoS3y6ICKt2v70TUGX5lo3rZEmkKnDrzwe/5ipXJP6J4gM7N/CVw2c42jdMVdBHulCifzLOx/cv3Yp5eTrOv3n2pUXfcxyHbElHFEQ+uWcbHRWL/475bJHdD3ZSUR0iVhPE4116DfIu7g4E3S6aIuF5Qg3X48cvnOUfv3qYYNBDMODmrZMDbN/WSC5XYng4TmNjlPa2cjV0rJDi9cleZkpZ7qls43Pt99MVqMIna7w1M7jo/mVRotkX5fjMAL2ZSQxndT4na0DytsFx0NRWVLmakPtBTDuDgzFreKYhi0EUKYIorPzhLQgCihRD0SJ41A1zPhoOBjg2CBIiCqLoRhL8yGIAUXRxI9K0IEhoSiOqVIlf24dpJ3GcEo5jIQgK4ux4ZSmyLKl7wXlwDETBhdvViqY0E/V8ANvJ42AiICEKHhQpPMv3WD4rpEhRaoO/TaXvUys+/vUQBQ2XvDzpVxBEFLmKoBTDq27BtNNYdq5ccbp6fgW13Holzp5fQWV9Semrw1AyhVtR2FZdjWFbVHi9OJQrGK/09WPaNhPZLIlCAVWSqA8GmcrlOT85SckyqQ0G8K8DOVAUBWRZQpakOSUIzaXg82h0tVazfWMdtuMQDnrIZIvkCjqmZeEA2XxxSRK0KAgoskSxaKIbJoos4TiQTBe40DuOokjs2tLI+FR6gWLSncLUeIribHuWIAiMXJnBNG7erOlmMT4cp+fCGNl0Ad52fgMhD/c9vv5yzqJUgeJ6kFLubzH1w9jWGA46krobYVbIQkBGEEPI6i4keSEZXZJaAAE9/21Kuf+FpOxCcT0IQggokk/+3lJHL3sSvcPQGY3x7x5+gq+eP8Nb42MkiwUEQaDK6+OBhiY+2LWRpmBo3cYjCsIcQft2wHYsLqW+S3/mOVTJz9bwL1DpXt6debWYKV7iXPJLOI7Nrthv4JNrVrwwHc0d4Xzyyxj2Ql5AZ/CDNPoeRhHXJplg2TpXcj/hYvIbaHKEjsD7qffeu8S2FrpdQhYVZEFe14X2htpKfuH+XfRNJUjlC1QF/Dy2qY2umqWDqqCmsb958eSXIolEvR66qirYVFNJaBGTPYBd93fi9WlI8s05bf9TR3tllM/cu3NF215VRfNrLoqGyeffeIvk2wjiXpdKfThAld9HyOvGJcu4JAlBFDBMi5yuk8gVGE2mGUtlKFxX+VNliY/s3MxTWzqI+bxLKre99JOLNNRH+OVffAjbtuntm+Azn7oXj8fFhYujvPzqRbyecpJoopDmfGqUSneAh6q62BlpXJEzd6UWQBEkJotp7FUKsKwBydsBbARBRBJ8a+pMLSCUzeik2C1L1b4doqjhEmtxUbtGeyz3/QqChCJFbkn6VRRcuJVWUFrXaGyLo3x+ZRSpYlkTwXcKApqLmVx+zqQqUSiUWyPGJ5gpFPjU9m0cHRnm5ct9ADSHw4xlMvyw+xIdsRhbq6ru2MQbCnrYu72JY2cG6bsyhQN86MntNNaGaW2I8oVvHibkL3s1CIKAadp84RtvcuHyOCXdRBIFnnxwE7VVQTa0V/Hf/vZlFFmivamCR+7pRJEljp25wlQ8RypTYENbFaZlcehIHy+/eYnpeJaxqTTve2QL7c0Vc9WP2w3HgVy6iGlalAoGpr7+wcXpo/383Z8+z/RECkEQMQxz7joIhjzse7DrjgQY4EJSuhClCvTCtxAEL5LciHQd6VuUGhDEEJLcgeL+0FzgMQdBQ0DAKP64vEfvZ8rVD0HCMk7xT81JSxZFtlVVU+P3kyoWKVkWAuUqZlhzE3a7EQUBB4eipTNTSqPb5Qd7UPESda2tEZ8gCKi3qBy3PByyxhiTxdNoUhjdXlqJ6GbRn3me4dwhLEenQtvKxtDHWGmiSbczzJQuUbQW8gvqvPfgrDIjuhwcbPLmFJPF03jlqkWDi8niOEfjr9OTvUjByvNE1QfYGtzJufRJ/HKAFm8Hsnh7VRIVSSLq83BhdIqpdI5YwEtdJIimLH3chnCQX39gcS+ncjJWxK0oyJK05C/zds+hdzEfnVUV1C0jwTwfZXnk0WSG//7iIfKlchVYFOD+jhYe39jGhuoKvC61LCUtlqWkRaHcfeA4Zb8bw7IpmSbT2RynhsZ5/nwPF8enMCyLw/1D7GqqZVt9DR518Sro2FiCj3xwN60tMbK5Epqm4PdrNDZE8XldDAxOc/hYH7t3NZM3S0wXs7T5K2jxxVYUXAB4JBVRECmYpVUrPL6rN7pmWJsH9cxEihe/8xb3PbmVuuabD6q++8XXaWyrYtPupnV3Rr5TaA6H2VhZyR889zwxj5uQ240sCEQ9Hnqnp/niiRPolk2VrxwEe1WVqMdD0bTwKAqxRYyc1hot9VFqKoPIkohll7XtTctGVWQEAdoaYximBQhEQh5UReYDj28jl9dnpekcAj43iizxzBPbefrhzTiU9baDfjeiKPCBx7aSyZWl5TSXgt+r8eD+DnZubkCSRGzHwedxIUsSOzc30NlSiWWX9epDAfeSmvO3A/sf7OTZbxzj2//4JoVciXse2Yjbs748nx996zjFosGv/977qKwJ8fu//Df80Z/9PAO9k7z87Cn2PtC5ruO5CkEQEKR6JHUfpexfICkbULRnEIRrhFtJ3YOsb0cvfB/HKSGr23GwsI1+wEZxP4MgxRDEELZ+HNvsBkfHsvrQ8/+AIKyPath6QpytWFR5l052jeSn+ebwa2TNAppYvt52htt5pGrHmo6lrLp0e++n250SKdkpbMcoi484WRycFR+z1rOfp+r+FMPOodsZhnNvMJB9kaKVuK1jXgyTxXF+MPZNhgoDRNUKRosjZM0MDjbTpUlOp45T52687QHG5YkZ/uqVo1QHfVT4vUxlcvzh157jd59+gM4lqhiqLBHzlT1RCoZJwTCuq0KXvUcKejlQDrhdy/I57hYYlsXp0XH+7khZuamrMsZvPbDQ62O9oCnyskHe25EulPifB49ypL/sSxP2aPze0w+xr7mBkEdDU1ZeGWuJhdlcW8WjG1r58tHTfO/URQZnkvz5y4fxuVTua29GXSTp53IpcytPQRDweTXGJ9I0NcZwe1QiES9nz40AZb8L3TZRJXlVbZuGbeHgoEmrr/S9G2DcZTANi/hkBqN0a0S5xEyWaFVwzsTopwGqJPGr+/dSNIw5veaAy4UA/Pv3PIk4m/2XBHHu36ZlE9I02iKRVWs83wxcLgXXMgGftsh7Qb+boH9h2bsqtriyS8DnJuCbv73fq+H3LmxRXGrf64UNW+upqQ+TjOdwuRUiMf+cotR6YaBnnMc+sIOdB9qRZRHVpVDXGKW+OUYqnuW158+xeWfTuo7pKgTBXyZvi0FAQXbtnzfJC2IIl+9XEAs/wCg+j57/R0BCkKpR3e+fq2i4vL+MY6coZP4TOBaS3IHL8xlK+a/fke91O2HaNhenpxjNZDDshRnysOYmEizPA7/a9r45jp0m3Z7A9nYHALd7hm/0PsR44S0EJBo9DyCswhxWlXwoopeyfa1N3pxmOPf67RvsMjiTOkHeyvHB2k/Q7G3jf/X997n3KlxVHIm/junc2nN3JfjW8XM8vrmNHU21aIqMZduca6rl7w4e508+vrgKZk7XOdgzwJeOnmIslcZeRDHoKn7/qYd4cmPH7fsCawTLdriSSPFS72UAiuZCLtjdjC8fPcWR/iEKhokiifzRBx/n/vbmVQUWVyGJIn7Nhdel8msP7qNomHz/1EUG40m++OZJ6sJBOqsWJpzr6sJcvjyJ45T3UVMd4qWXz7N9WwOFgs6VK/G59YYiynhklYJpkDVX7vcxkk+i2yaVrtX5+cC7AcZdgWJB5zuff42eM8O4fS5sqzxxzEykeeV7J+g+PUQg7OX+p7aw494OTr3Ry6vPniI5k6WqPsITH91DS1cNh186z+s/LsvYJqYytHSuj5nU3YSQpoG2cCFd7Z+/GB/PZPjuhYtcnJzm8fY2GsOhdRrhu7gejgPhmJ9IzA8CFAsGjsO6qls5gNfnRpZFEMDjc5GM56htjFLTGOXYlw+v32DeBkEQy4IQYhRJ2YgoNS14H7Ea1fNpFPeHgKsLJLlcnZj1wBDlZtyhP4E5RTsFQfQjuQ4gMD+gk5SteCN/Peef8U7CWCbNH77yImcmx8tu0IsswnZW1/J/PLIfv+wmrPiQbmsL0+3H7b5Vaj17ebr+L8qCLjeQa18M5cWWgIA4yz+8M22oU6UJKl3VNHqaCShBpOuk8n1ygLyVX/R6WWskcgXaKqNzPiYAu5vr+JtXji75mctTcf7HwcMYpsWBlkZCHm3Jyth6yLKvBWzHIVMqYVhlDwbzbf5Ra42rv+1KRHtuhNFkmpcuXCaRK4vsPLN9I3ub628quLgeoiBQ4ffy5KYOLo5NcX5skmMDw5y4Mkp9OIBHnZ8EuXd/Oy+8eB7HcVBViYfu7+I//OdnOX9xFEkSMQyLj31kLwBBxU2dJ8xYIcml9CT3VrTfcKwpvcDpxBB502BzdS3qKqt7tyXA6M2M8d3hw/RlJ2jzV/P+ur34ZTcvTZxmW6iZLaE7kw28G2HbNkN9k3SfHuJ3/uRnGB2c5kt/9gJ6yaD33DC5TJF/9m8/yunDlzl7bID61ko27myibXMdjuPwtb98haHLk4SiPt56vYeH37eDzm31/Lc//AaWuf797O8UVHi9/NzOHVi2jUuWb3sbw7tYHP/wV6/w4FNbaO2sxnEc/ud/fo5f+N8eIxRZv37hyuogI1emsW0HSRKpqg1z8shlquvDpOO5VeRr1x6OU8AyusExkF0PLOofJAgiCB4Elm53EgQJQQgt8vpClShBUBHeoZysv3jrGCcnxvj0lu1sr6rGJS88XwHVhYPF6WQ/byX+gmotgoDA7kgnj1fvugOjvjXc7iWxJKp4xLXlQN4JiII4W0dxFiwys2YaTXSvyeLzRpjJ5vn8a8cJuK8lwhzHWdbJO6/rOI7DZ+/Zzfu3dpXbJ5fY9naKCqwlbMchb9xa1eLNmZO4RIUNgTbc0sLEouM4GLbBs+Ov8Or0UVJ6hpASYH9kO09WP0BIvTnO1ZH+YSYy2bl774nNHfhc6ppwOAVBYGt9NfWRIOfHJjEsmzcuX+HetkY8kfkBxmOPbOShB7rmxGL27mnm13/lEV585TyaS+HeAx088VjZib3aE2RbuJ6LqTFeHDvPhkA1Bypbl7zmDcvkb3tf43J2CgeHJ2o2rUqiFm5DgJHQsxyZuUSFFuRX2p/iR2NvcWymlx2RVoqWgWFb2LOugWWS8dpElO9U2LbD5EiCmvoIvqCbYMRLZU2IYl7nSu8kh144R3/3GJZl09JVTSFfou/CKIdfvgAO9Jwdor6tgvhkGo9XJRTz4Q24qWmIoKrvFqiWgiSKeO5gUDGZyGKYFnUVN842/f5f/YDf+OC9NFXdPt3yq+Sta129DvNeEK7mHa/drWsxmdq2PWsSVD6QUTIXqDjdbuy5t4MjBy9hmhaKIrHvgU6++Ocv8sYrFxkbinPvo5vWdTyOY+PYU1jGOWyjB73wLWR1P7K6f13H8U7E8fERPtK1iV/btRdtkeACytdtzizw8y2Pz/IJyhn2ijUmeK8G18iT8+/Aq/cc8/5e/t6bv6+r+5m/j+U/v3jlp/xp8Yafv114+zly5gUKNx5PrbuBN2depTdzEW9oz+weHPJmnsPx12j2taKIt78985MHtpMplhasezYsoyJVGwyws6GWC+OTPLahjZBbW/Ibv1MUouxZed2bRUJP8fzEa5xL9bAh0Mqvt36Kavf8c2g5Nn/R9w+8Pn0cc1ZQIGWkGS1O0J3t59daf5aK2QTDanBudIJMoexKrykyrbG1bbEOezRiPg+KJGJYNhfHpkjPHu96lFuur/3mbrfK009t5clZURJJEueCjyotwANVHbwxdZkziRH+6PR3ebR6Aw9VdZEyypUY3bYYL6S4kBrj21dOcHRmgJxZ4sGqTraFG5BvYDHxdqz5CnR6VpVjS7AJn6zRGajjdKKf8UKcnFXka0Ov8eUrB1EEiV9sfYxWX/XdrHx62yEKArGqIKNDM5QKBvlsiZnJNC63Sl1LjH0PbeCTv/loeVtRJDmdYeDSOFv3trDr/k7+7j//EIBg1Ec2UySTzKMXDabGU7Ru/KdbwXAcB922sBx7yfWoQDmQUEXppiZd++ox1qB0K86qyYiCgGU7vNUzTCpb5EMPbEESRSSx/Lpll7+PKIAsl7cvGSaO42DbDoZloUgSglBWobBm2+kkSUC+icyV4ziYjk3O0DmXmODN8Sucj0/Sn0kQL+UpGDqKKOFRFOq8QTqCMfZU1nOgqpEqjw9ZEBdMrKIgrHiyFQSB+FSG6tow+VwJ07TWXdfo8Q/u4smP7J4LyJ/6yG4mxpKcOzHI/Y9v5uPr7nZrYhnnyKd+HwEPivtpXN5fWtDK9C4WQjctqvw+VEla9hr0ym4aPZV0p4fJW0XafLVUaTev/HcrcBwb2zGYKXUzlDvIROE0WWMUw84jiS7cUgi/0kiVewcN3vvwKbUIXLvXr5/ZBASKVoLB7CsMZl8mqfdj2gVcUoCIq5Nm32PUeQ+giv4l58S3Zv6SntR3F1Wkeqj6j2n0PcR6P7Qdx8F2DOKlHrpT32SicIqilUQVfUS1Llr9T1Hj2bNohe8qdob2MZwf5Bsj/8CPJr5LSk+QMlO8MPEDXJKLX6r9LVzi7ffBSeQK7Gurpzp47TcwLZsfnrq45Gdqgn6e3tzJf3nxdZ7607+l0ufF41IXXRj/1sMHeKij5baNf63gOA55/eYDjMvZK8yUEhiOQUwNLwgOHRxemznKwalj2NhIgogkSLNrB4ML6V6+OfIcv9L6CaRVSnLHs3l0q7y+Crk1ZGltpX8FQcCjKiiShGHZTGSyFM2F/CBBEHAcB8uyy8k6mJW/l1holiywP9bKL7c/wJ91v8xYPsXf973Jl/oOzyUUvjt0ku8NnQLAxkEUBDYEavidjU8QdfnWh+QtCDKyGCrvQAzMu6l128TGQZMUBEHAJcqzCzWTrFHkyeqdPFi5mb/sfY6h/DR1nuhtI9fdbpQ9M0Kz//be0N9i0X1IIk0dVbR01vAn//zvCVf4qW2O4fa66NreyOjADP/pX30FBNh1bwePfmgXoaiXV394mlNvXiafKxGK+olWBti+v40ffuUwP/7GMSRJxO113bCZ3XHKWRzbcWZl1O7+ViHHcUiUCvzx8Rf50WA3BWtxYp5HVnhf4wb+zf4nccurX5xNFrL8/ps/5JWRvlsdMp2hGH+w+1H2hOp449wgX//JabKFEicvj/LU3k4e2t7GKyd7+cnJPhLZAjURPz/35G4aK8tVC8u26RmZ4gvPHeNz791HQ2WYr79yimPdw4gibG+r41OP71zxwr5cOrYYzqX5weBFvnH5DFeyyUV1rku2RdbUmSzkODE9ylcvn0aTJB6qbeUT7dvZX9WIJstIs9eOLIq4pJVNLY++bztf/B8v8+W/fpVSweBnfvF+vL71NbtTFGnOTVwQBDS3yq/+f55e1zFcD0FQUbRHCWpH7tgYbhp3WFNiT00dJ8fG+EjXZoIu15yYw9sxUYzz3ZE3yJoF3JKLtxK9PFixlX3RhV4itxOOY5M2hjif/Ar9mR9j2Pk5roKAiGnnSVtZkvoAQ7lXERDoCD6DuAQ/pmBO81riHxktHEMSFATKbUEFc4Yh8yCj+SO0+p9iW+QX8MrVi54bVfThkgKziw4by9GxnPJCcD04Cm+H4zhYTome9Hc5NvX/YGMgIiMIMrqdZjR/mPHCCZp9j+JVqpfcj1f28uG6T9Lm6+J08hiaqKGICi3BXdwfe4SoWrEuz79DPYPsbKqdN1eLgsC3jp/jg7sXl8O+NDnNf3rhNfqnE1QHfES95ez2Yljq9bsNtuOQu4UAY7gwTsYsm8xuDLTjk+e3iJq2yTeHn8PGxiWqPF51P49V3ctoYZx/uPJdRguT9GQG6MkMsCHQtqpjZ0o65ix3JG8Yc5X4tQoyHMehZFhzxzBMa9Fns+M45HIlDr3Zy+mzw9i2zUc+uJu21ipKJZPpmQzhkBevt9wKq0kK72/YTtTl4296X+NiahzdMbEdm6t6QFeFcFySxL0VHfz2hkdp8EZWTfCGmwgwBEHEq25md8OJRd/XRAUJkaxZNgTLmyVEQcAtqVRqQYKqF1EQ8UoalmOv2rjjboEoqFQHPkd14HO3vC/N4+Izv/PUou997FceAh6a99qTH9vHkx9bqIl9/3u2cf97lnYDXQymYzGUn2SkMEmTp4pG791NDHcch+linv9w4hWeu3JpyeDCKyt8oHkT/+feJ5ZslbgT8HlcPLang1ypRDJb5LPvKROwHMfhnk1N7OlqQAD+45dfZjqZo7EyhCQInO0f52TvKL/5wfuojQUYGI9z6OwAf/xLT5PMFvir771J/1ic9rob90rbjk2yVOQHgxf5u4vH6EvHV71sKFoWzw318OrYAI/XtfNrW/bTEYzhkmRUUcKzwoCuqa2SP/gPP0M6mcftcaG61v+3evOVi7RuqCYQ8qC5VaQ1zkb9NMG0l64orgc+tWUbv/PjZ/n3r/2ED2/YRG3Aj/a2YFeRJFJGDkEQ+JcbPgbAoelzDOWn1jXAcByHlD7AyfjfMph9CQERTQoTVtsJu9rRpBCGnSdrjhIvXcJ2TGq9+5GXMKzV7Sznk18lbQwT1TZQ77kXv1KDYReYLJ5hNH+EkpVkIPsifqWWzaGfXeibAmyN/DxbIp/GsPKU7DQXkl+lJ/VdTGflyjNrC4fh/CGOTP13wEGTwtR49lLt3okoqGSMIUbzRxjKHSwHZ8uwplySxt7IPeyN3LN+w38bFElCt6y5pB6UJVuXE3zMFEukC0V+/YG9/OK9e9aEM2g7ZbnhOzXXlQOMm+dgxPUURauEJrqoc1ehvo0fcDRxhoniDCICW4NdfLb5I4iCSLUrRsnS+bPeL5Iy0vRkVx9g+Fwq8mz7UrpQYjqbpzroR1qjc5kt6cRz16okPpdr0d88lcrzx//+e1zqHUeSRBzb4eEHNtDeBmPjSf7Ln/6YRx/ayIeeucYtU0SJB6s72RFp4GRiiDemLtOfnSal5xEQCKkeuoLVPFjZycZQzap5F9djzZ/mMS2IR3ZxMT1MgydGT2YUt+SiSgvTmxn/qeZb3I3Imnm+NfwSRxMX+Gj9o3d1gOE4DhOFLP/l1EGeHewmv4SsnVdW+UjbFv6/ux9FXWEmfb3hwBz3QBAESrrJ88cu0T08hUuWuTQ8jTE7uRimzbNvXmBLSzWqUq6Sjc1kGJ5K8Z+/+hMEIOx3r8id27RtBjMJ/vriUb7bf56scfMZJICCafD9wQtcTE7xz7bdx2N1bbgkGa+ysqpkPlcimylg6BbZTBFZlqioDiJJ6zdPfPOLrzMzmWbb3lYefGoLLR1VeHwamlud9R55FyuF6Vh3JMt9FX9x/AhZXee5vh5+1Nez6Da7qmv5Px7dX66E6hkERAqWvmLjqbWCbmfoyzzPUPYnCEhUubexJfxzVLt3IYnz7x/TLpAzJ/DJtQsWhFfPtu0YZIxhWvyPsyf2W7ika5ySdvt9XM48x4mZv6RkJZkunidtDBNyLd5KIyCiSj5UyYdbjq5KmnatYTgFTkz/JWCjSWF2Rn+NzuAHuL5Nq83/Xk7HP09f5kc4LN7SatoGgiAicmcTCM0VIQ71DKJIZWlS23E42jdMfWRpPl7M52VPUx2W4xDPFVAkccmMsltRFvVMuArdsojn8sQLBSRBJOzWiHg9iy5gS6ZJqnB7Ast4vkCyePP7zpl5dNugzl2FJrnmrS1tx+a1qaPYjoUqqry/5tG56pRLUmny1hFU/OStIhPF6VUfO+rzoM62LwH86OwlWmJh/Jrrlq8t23Z4a3CE/ulrXjERnxvXIr/pP37tMEMjcX7r1x6jqTnG7/3BV+fe8/k0mhpj9PROLHqcgOrmwapOHqy6fT5Pa776Cioe9kTa+fHYCf6851mavJU8Ub0Dn6wRUr1z0VBI9eKVtXczhXcQjuOQt4pczA7e6aHcELbjMJ7P8KenX+cHgxfJmYsvjH2yykfbtvKHex5d9wXDSnHVfCtXNBidSRP0asTTecbiaXZ31tNRX8HgRIKra1tBhH/9s4/wwvEenj/Ww/sObKC5JkxXQwW/9oEDCGK5DaQqvLSxGJTbrHpT0/z52Tf54ZXuRT0CbgYO0JOa5j+89QoZvcR7m7rwySsLMF754RmOHOxm8PIkLk3BG3Dzh//xE4Sjy3+XtcRv/+EzvPHKRY4e7Oa//5vvUF0fZu/9ney6p4NIzIc3oC3rXfIursG4wxWMXTW1dESjy25T6wsQVnz4ZDef738eTVQRBHigYuuyn1trxEs9jOWPYmMScXWxJfxz1HkXNxqTRTdBtfkGexTwKw3siPzSvOCi/HmNKm0b1e6dDGZfJmdOkTMnlwww7iZMFE6SNoYRkKnUttERfD9v54AE1DraAk8yXTxLylj8eXY5dwkoe154JR+KqN6RluCP79/G//PCG/y35w4R8bnJFEpkiiV+/wMPL/kZv+aiKuDnB2e7OdR3hfpQEE2WFw0yntm+kW11S7eKHR8a4U9e+AmXJqcRBIFd9TX8weMPsaVm4WdOj47zX39y6Ka+542gWxZ9Mwsd3lcKyzFxsPHI7gUciulSggvpXmwcat1VbArO9wVRBYWoGqY/NzTXZrUabKyp5AWtd64C8/XjZ9nbXM+BtkbctyBVa9k2I8k03z/dTc/ktcCnq7oC/yLy+0eP9fPEY5t5/LHNZHPzSeCKLOH3a1y5MnNTY1kL3Jb0bouvil/rWGgY85GGa2XJZ+oXt71/F+sHG4fpUorR/BR+Zf1kQVcL23EYzaX5H2ff4PuDF5fMugdUFz/TupV/tevhVasdLAZJEKjQvNR4/FiOjWk7s3/bmI5dJlk79qrztYIg0F4X4/LoDF947hhP7OlkS0s11ZEARy8OcWloiqqIn7C/3FPaUBnGrSp87ul9/Pl3DtE3HmdrSw1PH9jA5398DBGBkN/NL71vP0u139qOw5Vskr++cJRnBy9iOjcmrquiNMetELhGei9a5qKtjUO5FH91/jCKWM6uKaKIcQOC/FD/FJ/+tYc5+loP9z++mee+fXxO9WK90NJZTUtnNR/77P2cPNzHGy+d5+VnT/Pi90+xYVs9+x7o5L7HFu+NfhfX4DhOuUXqDlYwPrdj97LvX1UiEgSBD9XfR39ujJJl0OitosK1fv4BjmOTMUZI6n0IiNS491ChbbmlfUqCiyr3NrxK1aLvu6QgXrkSANPOY9qFWzreemE8fxxwkASVBt9SRn8CXrmamLZxyQCjO32Ot5JHqNJq2BTYTounjaAaxiv5kISbEwK5GYQ8bv739z/CwEyCiVSWgOaiozq6rLzsaDLNS92XEQWBVKG4bFXhvrblbQD+8tBReqZm5qroJ0fG+ctDR/nTj35gwbaJfIGjQyMr/m7rCWmWp1SuWM2fc96cOUHR1hERuC+2e44feBWCIOKSFGxsTHv15op7m8sk/clMbk4N64++9yK/88T97G2uI+rzrsoV3LRtssUSAzNJvnL0NC9fvDxXHVEliX0t9US8C3lXhaJBNOxblGprOw6Gbt7RKvzd2T/yLm47HBxKls6FdD+rXyKvH2zHYThbXrh+b+ACGWOhVBtA2OXmE+3b+Gfb7sd1k6pRb0dQ1fhM124erWsnYxRJ66Xyn7l/F8kaOiXLxLAtxvIZZor5Fe17Y1MVG5vmLwQ+/MDiGdTf/fg1Ds4//+g1RaOHd7Tz8I72FR0vXszzjctneXawe9ngQhZEYm4vlW4vzf4IDb4gAbUsiVi0DCbyOa5kk0wWskwXcsRL+XlXz0Amwee7j9MejKKI0g0DDLdXRZIlbMshGc+RmM6tqNXrdkBVZfbe38Hue9u5cnmSV350hjdfvkDv+dF3A4wVwHRsDHv9VcCux2QuS9TtWVTswHEcMrrOVD5HXcBHwSrR5W9gppQmY+TRRAW/srSXyFrCsPPkzUlMp4gmhfErdajSzVXtrs50kqAQdi09H0iiiiyWv5+Nhc07Q2UwpQ8AIAoSYbV1ye1UyY9nNoBaDPfHHqVCq+Z8+jSvTb/Im8KrNHla2RDYQpWrmoASwiN51yXQEEWB1ooIrRUrUy7bUlvF5z9T5gtZjo21zBwZ0BZ621yP8UzmOsnfctZ8MJFa0TjuJnhkD4ookzay6LYx126cN4u8GT+JYZu4JY390R0LPuvgYNoWAkLZR2iVqA8HeWRDK1fiSeKzZnuTmRx/+O3nebCjmae2dNJaEcbnUnHJMqoslRN1s5eW7TiYlk3JtCgYBlOZHMcGRnjhfC990/F5CbwdjTXsaqhdYLIH0NgQ5eKlMVLpDXPVLAcwDIuR0QRXhmZob1s84bAeuKUAw3ZskkaWwdwYqqhQrUWJuoKYtkXGzJHQM+StIpZTlgjzSm7CagC/srCktRgcx8HGJm3kSBt5ClaxrFLl2IiCgCzIuCUXAcVLQPGirMBlsGCWGMiPUrR0Yq4Qte7YnHRZysgS19MUrBKmYyEioIoKXtlNUPHikz0rmnx0yyBlZEmZWYqWjuVYiIiosw+wqBpEFZUl92U7Dikjw8Dsea3SIsRcISzHImPkSRgZ8mYR07EQAFVU8MkeImoAt7R0D6BuGaTNHHmrSMEsMa0neStRlsYzbYvRwhQnEt2LftYru6nRYuv2AIbyeRjKJvnr80f57sB50ksEFzHNy6c6dvCrm/fhlm7NSfN6qJLM1mg1W6NLl5sdoGDoxEsF/vzsG/xDz8k1OfZaomSZvD4+wPcGLyzZWgYQUjW2Rmt4b1MXD9e1Uen2Lsj8OMwqWqWmeWXkMi8OX6Y7OTUv8Dsbn+BsfPG+z7ejfUMtXp9GbWOEw69exONzrXsF4yqKBZ2ZqQyTsxK1/ZfGcbkV2jbcvbykuwlZvXTb3XhvhL8+cZyPbNxMRyQ6r33Edhym8jl+fLmXUxNj/OY92zky0839FVt4bvwYE8UED1RsXbc2KcspYtjl1gxV9C9oaboZCIKEtqzTtvA2DuTdm1i6HiUrDTBHgl8KkqCgiEs/nyKuGPe4HmRf5D5GClc4nz7D5Ww3z459i4gao8XbzsMVT+BaxLDtTkMQBEqmxVAiSbJQpGgsXkUG2NlQS0N46WrcpqpKhhKpueSPIklsqHznGSlWuaJ4JTfTpSQjhUkaPDXgCByNn2I4P4aDw9ZgF1WuhS2TllNeo4pCeV22WggC/MzuLfRMzPDSxcvkZ1ulLNvm5e4+XunuI+L10F4VpSrgI+p141KUssKXU+a2ZEs6U5kcQ/EUQ/HkAsK7ANRHgnxq33aaYuFFqxRPPb6Fv/78Qb7zvRO0tVZiWjb9A1MU8jo/ee0i+YLOPftXR2C/iuurvTeLWwowTMfiZOIS/7H7i8TUEJ9ofJxHK/dyOTvM0fh5Tqd6GC1MU7L1MtPfU8mOUAe7wxtp89WhSYtH2uXAwmEoP8FIYZLu9CA92SHGizMk9QyGbSKLEl7ZTbUWpcPXyM5wJ13+JkKqf9kxjxdn+K+X/pEr+QneU30Pv9T6DC5RpSc7xNGZ85xIXmSiGCdrFlFFmaDio8lTzYHYVh6v2oe0DEnddmymS0kupAc4leyhOzPIVClBwSqhijIhJUCrr5Y9kU1sDrRS565Y9MezHIszyV7+/cXPE1WDfKz+MZ6qOUBfdoTjiYucTvYwUpgiZxYQBYGQ4qfZW8vuyAZ2hbqo0qLIi/APLueGeWXyOCOFKcaLM0wWExhOuTyYswr8aPwNfjT+xqLfbVOghc80v4/toY5F319rXG3p+dsLx/jOwHnS+uLBRZXbx8917uSzG/bgVVzrLiEgAB5FRZEkQq7FpSPvJBzHYSCd4IdXuhnMJJbcrtLt5ZnmzXymaxf1vuCSBMKr/JGN4Uo6gzGeauji77qP8cPBbqaKq+9l3bSjEbdH5cEnt9DaVU045sPrX98H/PREmqnxJP09E5w60sfwwBRen5uOzXV86NP3sHF747qO552KjKHf8QDj7NQko9kMv7X3AJ2RKIIgYNk2A6kk3+6+wA97L/FkazuGbZE0sowVZvBILu6LbWaquH5ZXBsbe3buFQTxprKob4eAgCi8MyXfl4PNtRaW5aXgxRVJxUuCRKOnhQZ3M/HIPZxOvsWJ5FF+MPZNDkQfuCsDjOlsji8dOcmPzvfgOM6sF9Lic/TvPnb/sgHGz+/ZQcEwmMhkAYHaoJ9P795xwzG4FZmmcJjqwNrw43TT4sLEFInCzbXqtfoaCKtB4kaKFyZew8bGcWy+O/IieauIS1R5ouq+BcJCtmOTM/PE9SSqKOOXb649POz18JuPlDlTr17qJ128tkZxgJlcnpm+lXU0vB2SKNIcDfGZe3ZyoK1xyXarhx7oYnwixasHu3nu+bOIosi3vvMWgihQVxvimfftZPOmuvKYHIeMUSRjFom6fIuqQ1m2zVghxWghScE00GSFWneQGndw0TXljbBmLVIFq8RQfpITyW6+MfwS3elBZFHGJSrIgkzOKnAh3c/FdD+nkz18tP4xdoY7lwwyDNvky1d+zBszZ9DtcmQnIuCSXHhkDdux5yoO59P9HI6f5ZnaB3m0ag9BZWU3QMrIotsmZ5KX+cLADxjIjwEgz05SeatI3iqS0NNE1CBPVi/tpGs5Nldy4/xo/BCvTp0kaWQQENAkFbfkwnJsxorTjBaneHPmLPfGtvOx+kdp99UvGyHmrSIjhUlOJXv4xvBLnE/1IQgimqiiSSpFW2eiFGeiFOdEspuHK3bzsYZHqXMv1PQeyI1xPHFxzkk9rAZIGhl020BEwCu78cmLL5KjahDXOricQjm4GMwm+MLFt/hO/zlS+uL9prXeAD/fuYtPd+7Ary5+HZm2zWiuvHBo9IfJGzpj+TRBl5uYtvjEMlXIMpRNUjBNBAE6gxVEtZVVr+42FCyTo5PDvDF+ZcltQqrGx9u38/Odu6jyrPzhIYkircEI/2zrfQRVjb+/dIJEaXUPiwunrmAYFpU1IWrqw/gD7nXvGf3+Vw5z9q0BdN2kvjHGMz97D9v3tVJdd/uc0/8pImuUVsTtuZ34jd37+K9HDvGnR97gt/fdQ1s4wumJcb587gynJ8b58IZNfHrLdmbMOCXLYCg/RbO3ajYbvH4ZfREFSSzPWZZdwrTvlATs3Q9FuFqVcDDspRdsjmNhOzeWPdXtEkkjwUxpiiv5fobyg4DDpsBW5EVke+8GDCdS/PhCL11VMR7tbMOvuZZMAm2qWbpNDGBnfS1/8v4nuRJPIggCjeEQIfeNg6oqv59fuWcPH9i8NlLO09kcv//9H/Nq38BNfb7F20Cnv4XR4iTn0j10Z/rm3LoBdoQ2sSmwMCGq2wYjhQlKtk5YCVLhuvl5viUW5neeuJ+qgJfXe69weWpmjjtxMxCAiNfDptpKPrxzMw90NOFbpuVNkkQ++TP72b6tgfPnR0kkcgiiQGVlgK2b62lprpirfJRskzem+3h9soeHqzawL9aMT7n2u9uOw4XUGF8fPMarEz3M6DnCqod7K9r4ePMeNofqVi2cs2YBRtEucSrZQ39uhIlinN3hjdS4Y/hlD4ZjMlGM05MdYqIY51y6H2v4BQKKly5/04LI6KrRh+2UI9J6dyUVrjARNUBEDaJJCrptMllK0J8dYagwyXhxhh+OHyLiCvBAbMeK1CESeoYzyR7+fvBHJPQ0mwItVLhCeKTyIjtr5kkaGWzHYVOwZVmJ3ZH8JN8cfonXZ06j2wYNniqaPDVUaxE0yUXJ0pksJbicHWa0MMWrU2+RM/P8dsfHqdKWVj0pWTpnUpcZKkxwOTtMu6+BJm81UVcQCYmkkWEwN05fboS8VeSlyaNUaxHeX3v/AuL2pkALauOTcyovOavAD8cOMZgfR5NUdoa72BvetOg4gqpvXZxubcdhMJPgC91v8a2+sySXCC4afCF+oWsXP9O2lYC69ORYtAwOjvXjOPBzXWGmizl+dKWbHbE6YjULA4ySZfLa2ADnExNokoztQNjlIaJ53pECy0PZJK+O9S8ZpMmCyOP1HXysdeuqgovrEXN7+WTHdqaLeb7We3pVi0xfwM2pY/1c6ZuisiZItCLA1t3N6+qHkUkX2LG/jW17W9iwtQFFXT/C5z8lJEqFNVMmu1nc39iELAr8l8OH+G+HD/Ge9k6+fv4sedPgV3bt4QOdG1AlCfQAXf4GTMdic7CF0cL0ilps1wqK6EYTwwiIFK0UBXMa2zEQb2KB+85odLp5eJUqKJarPlljjKC6eEXRdIqUrKWrUGkjyWRpnNHCMAP5y0yVJlAElRqtnt3hA7T7uvBI69cCvBookkRt0M+exnret7UL1y16O4XdbsJ1q6u4a7KER1m7AEwQBLzqze/PLWk8UnmAjJnjVPICWbMcfGqSizZvIx+tfw+KuLBlOm8VOZsqK4r5FQ+Nnrqb/xJAbcjPv3j8Pva1NPDC+V4uT8UZSqRI5AorqugKAnhVlUq/l4ZIiJ2NtTy+qZ3maGhFxrmiKLB5Yx2bNy7/PaaKGQ5OXOI7QycpmAYbgtXzAoyxQpIv9R/m+bFzGJaFR1ZJ6QW+N3yKhJ7jD7a+jzpPeFWGe2s2o1qOzWB+jEpXmKer7+Wxqr1Uadf6YNNGjjdnzvCdkVcZyI1yMT3AwakT1LhjRNSF/aeSIPKB2gcIqX42BVpo9zVQ7Y7OVRccHPJmkWPxC3x75BUuZgYZyU9yPtXPzlAXgRWoIk2W4nx56HlKtsHTNfdyf2w7zd5aXJJadlK0dUYKU0yVkrR4a5fcT8bI8+rUCY7Ez1O0dDYHW3lvzb3sDm/Efx1vI2cWOBo/z1euPM9gfpwTiW5+MPo6n215/5IBkY3DYH6MqZLGnsgm3ldzL13+5jn3c9O2uJwd5uvDL3IsfoGirfPq1AkOxLYu4Iw0eWtous7nIq6nOTxzlsH8OIqo0O5r4PHq26PutZKLcqXBRYs/zGc27ObDLZsJrqAtqZybXNljuGSZXMkm6QxV8Ezzpll3c+GmXCzvNAzboic5zVtTw0tu0xKI8P6WjTT4b01Bp9rj50MtmzgxNcLF5NSKP7d1dzObdzZy9q1BXvjeSaYn0rRtqEZ1rZ9M7Wd/+wm8fhfiGphX/TRjIp+ltITx5XriQH0jvyuK/Nc3D/FvD75Cjc/Hv7r3Ae5raJpLEoRUH0/V7gGnPD90+ut5u/Tp7YQsuvApNbjlGHlzkplSNxljlKC6vALQYnjnzUyrQ0zbTF/mOWzHYKJwglrvvkWTfUUzTkpfWnL9dOoEbyUOYzoGUbWCPeF7afd1UeWqQV7H4PJm0BAO8lBHCyeHR5ElgajXs2TLypbaKmqCy7eK3wxcsoz7FgKCt0MUBLyLEJdXgzZfEx+ue5IGdw2jxUlsx6bCFeFAdCfN3voF66qy0p2J6Zh0+Vto9TbS4q2/pTEAyJLEg50tHGht5ML4JKeGxrkyk2QmlyddKFIyLQzLwrJthFmFRUWW8KgKYY+bqoCfzqooW+urqQ76V2WkaNsOiWSOQkFfVCBF0xQqKwLMlHL0ZabwSCqN3giV2rVrxLJtDk70cGxmABy4p7KNTcFaxospXh2/xKGpyxydHqCyPoBrFd5ia3pXqaLC9lAn7625j4hrftAQULw8XLGbhJ4hoadJGBkOzZzhwYpdhBTfggtBQGBzsJWuQNOiJBxhtqVnX3QzM3qK/twoJdtgqpQgrqdXFGDE9bJ6yM82PsmH6x/GJapzC3JBEMqRsK+eNt/yF2BvdojjiQukzRzVWpT31dzPvbGtC8btld08XLmbrJnnf/V9h5Jt8PLkcd5bex/Vy1QxBATafQ18uO5hNgaa570nixJdgSYer9rHUH6Cwfw4Q/kJZkopGt1VKyLT324IcMOL8mpw8cVLb/Gt/nNLBhftgSi/sGE3H2jeeFs4D25ZoT0YZSCT4IdXLtIeiNEajOKR33mLz2SpyNn4ONNLKFtJgsAjda1sClcuIHOvFpIg0h6M8URDB5dS00sSEN+OoYFpBnsnSMZz1DfHaO2sRl1nzwl/8O7jzrwTMZHPUrTWt4LRn0gsKlvtkRXe39nFF06fJOL2EFBdnJ0sCw94FYVKv5vu9BDjxQSmbaGIMh3+Ojr8t5bNXDkEQmozFdoWBrMvM1E4RX/medoD78crVy7gZJRV/1KIgowieOa9/0+9glHj2Y0q+tHtLMP5QzSXHiXimm8Opts5JotnmSktLlIC5RbrNm8HLb4OGj2teNdJMWot4FBu9z03NsmhvitU+Ly4FZnFwsvffvie2xZgrGUFQxSERZWRVotmbz1NnjoKVnnNoEmuZTtYfLKH91Q/hAAEFT/+FbbUrwSqLLG9vobt9TXYjkMyX2AqkyOvG5RME8O0EQVQZRlNkQm6NWJ+D25FXZTEfSPkciXeONxL96VxUpkCtrmwYtLaUsmnPnmAjFFkvJgm6vLS5JvP050opjk2M8BkIc2uaCO/2vEg28L1JPUCKb3AG1OXOThxicdrNt65ACM8W214e3BxFaqksDeyiSPxcySMDFOlBAP5MVp8tbjfxsUQhLLihXqDhY9bclHrriCk+pkoxsmZRXLmyvvAO/2NPFVzz7zgYjUwbJOezBCD+XEAtoXa2eBfPCi6ivsrdvLlK89T0lOkzSynkpeorr5nye19sodtoXY6/A1LbtPlbyLqCjGYH8fCZrpUJnBL3PkAA8ru2kthXuWi/xzJJfr4u0IxPrthD083dq04uBBm/7Nm23YcwIYlb2ZFlHiwppWQa4xLySmeG+rmEbudrZHqZXXK70ZM5DOcnB5b8v1qj5+dsboluSirRdjlZlesjiq3j7F8ZkWfGeiZYPTKDBU1IXbd005VbWhFKlKmraPbeTxyaFVjHC9cRBU9BNUapFW2o9zsMVcMh7taMvpGmChkKZnrW8H46oUzXJxe6MQrCOV7WRZFDo8M8X+/+fpcFbIzGuUT2zv5yeRpwGGylCKi+rEcax0DDPArdTT6HiRZukzKGKQ3/QMKVpwKbSseOYYkqNiOjmEXKFhx0voQ9d57qXRvReLafLrWS2QHB9sxsR0DyzEwrfxcBVi3M5TsFJLgQhQUJGHxRe71+3IcC8sxsB0Dw87hzMrjGnaekp2eJacriMLiyooBpYFm/2NcSn2btH6FU/G/o9X3BD6lBkGQ0K0MM6VuhnIHsR1zSdfx3eEDSIKEvE5cwrXElXiSb5+6QHXAxzPbNuJ3uZCW4Ko1LOMIfivQbkOAcSstUtdDEAQ8S/BHF9tuS/D2uVdfhSgIRLweIt7b13Z36M1e/vYLB6mqChIJexdtqRJmr5OSbZDWC1QFqqjQ5gegZxLD9KQnUUWJx2s20RWoRhYlYpqP3ZEmTsWH6E6PYzirSyCtbYCh+GnwLK+5W++pJOYKISJiYzOYG6VobV0QYKwGqijjnlV+MB0TaxUn4UB0K17JfdOZjJSRZaQ4RcEqISDQ5KlZMsC6ipDiI6IGiespbMehL7u8kU3UFaDNVzfXHrYYAooXt3jtoZO3SnOL6jsNURDwKosHGFfVosrBxVmSpcUrF5vClXx2w26ebOhcVeXi6rG7k5PYjkPeNEiVikvyNizbxiMr3FvVxO5YHX969hB96Rk6grF3VIBhOw6TxRzdy7QrbY5U0RxYXU/lchAFgVpvgM2RqhUHGK2d1ezY14ovoK3qHsxbCUbyp9kYfGJVYxzJn8KnVOCVo0iLqGgsh5w5w1jhHBuCjy+5jSiwLFdrOVzVZn8nwrAsRrOpdW+Rqvb6KS4T1NT6/eytnR80VHv96LaBV9Z4oGIrPZkRqt1hEnr2dg93HiTRRa1nL7qV5VLqOyT1PnpS32M49zoeqQJJVLEcHcPOUzCn0e0cAbWBCm3zbeuLGs4dIlG6jOkUsRwdy9aZLp2fI08PZl4iUbqMJLqQBBVZ0AipLTT47p+3H8exieu9jOTexHb0uX0l9MvoVnluGM8fR7fSKKIXSVAQBZWA2kCd9x5U8VrSQ0BiU+jj5IwJRvOHGcoeJFHqJaA0IAoyJStFzpzAr9TT5HuYwewri3635dShLMfijZlX2Ru+565UkQLwayqPdLby2Xt2r1vLriAIc+06HlXBs8YtUmtRwfhpxnPPn6GuNsxnfu4+Kiv8i7b5qrMKVLbjYDoWLlHGLV077wVT52xylNFCkhZ/BRuDNXiuW6/VeUOoosR0KYu1ws6Eq1jTAMMtaTeUiVVFpaxIJCkUrBKTpQSGvbTyg+M4FO0SI/lpZvQUaSNL0dYp2QaWbWE6Zf+GpF7Wyl6tFkirr3ZV/W5vR3K25esqTiYvkTZyN5z/U0amnE13HGau+/xi8MueGyodiIKIKIgICOWFyiojzdsJTZIXVR+46nPx+YvH+Fbf4m1RArAlUs1nN+zm8foOgq7VTf6qKNEejPLG+AB/d/EoOdMg5NJo8IUW3T5tlDg+NcxoLo0gCJi2RY0nUCaGvoNQtExGsqklq0EAncEYtZ61LaXH3F66QhW8MNy7ou3rmpZuDXQch5HCKZL6GALgkyto8O4kbYzTmznIldxbgENAqaZS62CmNIgoiFRqnUwX+zDsIlFXM1lzmslSD45jkTRG8MhlsYKZ0iBTxV5Mp4RPqaDBs5O8GWckfxoA09HxyTEavbtIG+P0pA8ynD+Jg01AqaHWs2VBMFG+D2/+4a+vc4vRWmGqmGO6mF93FamPb9qy6kSKJIiMlqbwK+VExVQpSVxPE1LXj/dzFZoUpsX/OF65gpH8YeKlS2SNMRJ6L7ZjIQkKsujBK1dTozYSVlsRhfmP7bWseQ1mX6Yv8+Ml1ZhGC0cZLRyd+39JcNHoe3hhgIHNdPE8J2f+atZpeSGmS+eZLp2f91qtZx+V2tb5AYYgEFAa2BH9ZQJKPROFU2TMEbLGGJLgwqtUUuvZT7PvUSxHZ7JwGtNZnSqXbuu8MPEDtgZ33pUBRqXfx56mei5PxfnemYtEPG4USVw0mdFWESHmW5uqdHssyu88dB8ArdEwYc/atZOKgoBvDQOWn0aMT6Z5/9Pb2byx9oYcwrJ3nFQ2arxufTiYm6EnPUHRMtgdbaLeE553XblmifIl24I7GWDIooQm3jgi9cpuFEGmQImcWVz0AeE4Dlkzz7HEBc6n+hmb9cDImnmKto5hlysVpmOX1aZucpoNKL6bzjhCWZ43b5YnMweHo/HzHI2fv8GnrodD0Vrc4+EqVFHBK62s/Hc3wqssrE7ZjsNwLsXfXjzGt5cJLrZFa/jcxj08Ute2rFrUUpBEkbZAlA80b2I8n6HK46crVEFwiX0poohXVvErLgQB7qtuZlOkalV9h3cDMnqJgUxiybvCp6jU+YL4lpD3vVkEVBcNvhCyIN7yYtPB4Uzi+1S7N+GVo8izc4uIhICE7ZgoogdJUDHsElPFXkRBplLrJK5fIW8mcMtBruSOYTolQmo9upXHckx0O0dv5iA+OYoqeujNHCSgVFM005xJfp+dkY9iWjq9mVep0NoRkBEEEZvyMeUl/AZkUUS6yfvQAUqWhWFbq5IDTBReQxZD+F1bbuq4a4GBdILMIlyI2w33TbZsVBBkb2QDYcVHs7ealJGdJXqvP1xSgHrvfUS1LlL6EHlzCsPOYjsWoqAgixqaFMKn1OKXaxCua3sVEGnw3otbDiEJ2rIkcUlQqfXsQxE9qKKfiGuhhGeT71HCatuSQcHbISDhVxaeNwGRCm0zu2O/uaL9XIVXrkJZxNFcECSiri68kSpqS91lF3S7hCQouOUYYbUVn1JD3pxmW+SzmE6RqGsDpm3OJd+WQ9EqoNs6dyujJVMqcXZknJ6pGY4MDhN0ayiiuOgz/zce3M8D7dcCDMO8QqF0CNsp4XbtR5XbEQQZ3biEZcdxuw4sedyWaJhfuWfPku9b1gyCoCKKq09UiaJAwK3NVUW0W1TGWm+MFWaYKqXo8NfdUgfOrSAW9ZFKF1a07ndLCiHVQ9ooMFUsV2tN2+ZkfIiezAQR1cuWUB1h1/zgtGgZ2I6DLIirrpyu6S9atl2/8QhE4dqNYdnWguDAcRxm9BRfHXqBtxLdjBamcHDwSBrVWpQ6tQKPpKGKCoooE9fTXEj3k10F9+IqZEG6pQDDdKy5aFBEJKT65tq1VgIRgai6fM+kiHhXkLVvFr638S8cx2GikOFvLxxdNrjYEavlcxv38nBtKyMTKd6cusJ0KkfE7yGRybOpqYoNDZX0jcc5NzBOyTCpiwV5YEsLtu3wwokeEpk8CAIbGip4pmkTvWMznDozygl7BNtx6KqvZHtr7Rwnw6e4uKd69Uoudxtyps5obunKWIXbR0xb6NR9q1BEiYjmIejSmFmCXL5SCEC1eyPgULLSVGhtiIKEX6mixr2JqdJl2v3lzGnBTL7t0+VaZt5MUrDS1Ht2UO/dzkTxEqIgkTYmGSuco9q9AU0KkDNnyBgTKIKGIrpp9d1H0Uoxmj9DycoQVhupcW8irg/OHXMxyIK4ImnBpWDYFmm9RFRbed9uunQCTW64owFGT2qa9BLCDHcjAooXl6gwo2foCjTgkVz4V9DDfbsgCCIeuRKPvLyHwWKfq/LsoMqz44bbSoJCpXsble5tS25T770HvEvzAVczroirY9Eg5lb26ZYj1MtLj8+rVNKqPAXApcx5Dk5/k83BbbT7NnAk/jr9uZ5FP1ewCuSt1RuFrhe8qsqBlkYOtNzY9LPKPz9AyxcPYtkzKHIzouDm6ipRENyIwq1VsAv6YWSpBk3duerPyqLI9tpq/vCJhxcd983CsM3ZRHQJ27HxSBrhG6yxbgaqqOCRNMQlOD/rgfe+Zzvff/Ykrx3qYduWevx+DVlefK0YUsvk7rOJEQ5P99HkizJTyvLy+EWmS1kequqkI1C1ILk1Wcxi2hYBRUNc5Vp5TQMM27FX1ENs2uac2Zsiygt+IAeHrw29wI/H36RkG/hkDw9W7GRzoJWIGsArl4MLWZSRBJFzqcuM5CdvKsC4VciCNLf41ySFxyr3sjXUvuLPCwg3VrwSliYlvxPgv67P0gESepEvdZ9csi1KFAR2xmr5pY37eLC2GZ/iYmgqyfBUikyhyEw6h6bInOkfJ+jReP74JTY0VOJWZZ4/0UNrdZTaaICKoBef20U8neMHhy/QVV/J5dFpjnYP84EDG+kbi3OsZ4i2mih+z53JQNwuFEyDiWV4ELHZIOB2wKeoxDTvLQcYINAVeIy4PkjamOBU4ts8XPVbc+86Tjk5UU5siICD5Rg4jk3JyqLbeURBxMGeI5Y6jgXYSIKMKMj4lUq8UpRgqIaw2kDOmMYtBWczngKSoGBfV062rzvmYnBJEsotBG2WYzNTzK8qwLgKw0qRLB5Ek5vxql3k9V4ypbcwnSya3EDE/SiSqJEqHiVTOgkIeNUugtoB8vol0qUTlGnmNn7XDgKuHSsbs21zbmZiSf7U3YiEnuHN6QsM5idp99XS6KlgIDfO7sjtJ3++i/WBbutkzcxcC/alzHkuZ3uIqNEFCTt9djF6t6I26OcXDqxsEX+VK2jZaQql18kWf4As1SAICoJwDyCSL71JsXQEVenCxebZ7RNk899HkioxzSFEKYrf/T4sO06+dAjTGkcUNDR1D6rcQlE/QTr3dSQxQlE5jsf9GKrczErT3JIo0hgO0RgOrf6EvA2WY9GfG+Z8uofh/DhZM4/hGODA1lAXz9SWeXOO42A4BnE9hYiIR9bwyV4miglOJS+T0nNkzDx17gr2RrpImznOJgfImHkqtTA7Q+1EXH56MiOcSl4mqHipcUdwoTBejHNk5iKWY1OwdCpcQR6v3kXeLPHm9HmSRo60kSeguLkvtoVq99K+YrbjUDLMOR8Nt6IgSyJ//4+HGB1Lzm1XKOgMDEzzd3//Go31EdxudYFRbUtTBT/z0b3UuoPsijTy1swgr4x3cyUXJ2eW6M9ME1Tc3FvRToNnYSt+b2aSom3S7o2sOiG5pgGGbhvkrQKwPF8gY+bR7TIxz6d4Fgx6MDfOK5NvUbINNFHlmdoHeLL6ABWuxQmpV3Ljd0wMXJNceOTy4tS0LercFewOb3xH+ibcDgiUqwJXkTNKfOPyGb7Se2rJ4GJ3rI5f2byP+6qb55HDY0EvlSEf6XyR+liQS8NTDEwmODMwhoCAR1OYTuWZSGaIBT0MTiawLIdUvsDgRALHcZBEkeqIn3s2NaMqMke7h8gVS//kAoyiZTKzDP8iqGrzfpe1hFtWCK1B8OJgczr5PUREDKd4TfVJANesxOSR6b+nSuukwbsLjxxmIHuE4/GvkNLHCao1eKQwAaWKwdwxpkp9ZM1pIq5m/EolTd7dZI1p8mbi/2Xvv+Pjyu/zXvx9+vSCGQx6LyTYO5fbe1PZlbTqltwkS+7t2k5yk5s4N8krv9hx8nOPXGVbtmW13VVbabWN29h7BUkUogPT+8xp948BQIIASIAEl0t5n9drJWJO+Z4zc8r3U57nwbIt6p3ryBFjwYeJwHRfuD095mpaPdvnreaSVRzy9fcV65bFSDZFdyC85G0ERAwrSbzwErZtooh+TCtLrPAiLqUdh9hCNPcCTrkFVY4wmX2OsPsxLLtMNPdDNKmRgj5IqrSXeu+nyesDxPOv4JTbUKRrZ/5GcmkGM8l3hQfGUhEvZRjIjVPrqGKymMQla0wUE+8FGD9GaHV3UK1F8MiXRFc2+DezKbgd5QoFubSR4ssDf/5OH+KSIYnXrowWdJ2z41NEvB7qAz4EQUWRmhHFKhSpGVXpQRQqz2VZqsGmTKl8HI+zUvGxrDz50tu4tHtQlTWIohuQKOsXKJb24dTuRJLCSGIIBAVJqkUUPchSLaqyBkm4urjNzUJaz/Lq5F4OJk4wXBgjrWdm1fgqCdy5lZGknuEfLz5P0SyxytvOU/WPMJyf4kJmlG1Vq9gfP8tkMUHJKnM0cQETi05vA6dSA7gkjc1yJwHFjYBAf26cbVXduHGQ1vP8cOwAn217FN0y+dHEIbYEuyiZOntip3mifge96WHOZ0Z5pHbrVc8pWyzxtQPHOTpcUSf94n07WVMfIRbPMT5xyUxSQKCrqwbbtslki2Sy8+dUfl8lWeVTndxT082p5ChvTJ0nGq20STkllYfrethV3YHzim6TeCnHhcwkJdNgtb/u1jl5A+SMIrFSitarmNIVjBKxUorydFahVquaJ+l6OjNAzqxMjryKmyfr7iSkBRbdZ9Eq35LqBUBI9RFSAwCUbYOJUpyckZ/nov3uxc0PhGaChKKh88LFXv72zAGmivPL0TNtUT+/7g7uqG3GdcXFrkgVAq0qS0iSgGXbOBUZTZFZ0xIh6HGyoa2O1pogZ4emODkwwYfuWsfgZALdNLFtG1kS8TjUSwZ6orCgOc3tjrJpXLVlxaNouG5Sz6smSleVJb4cetlAksUFCWoCAo2uDcyIDbvl0OznXqWGTcGPYNjFiiKUIFPnXItTCgA2Da6NOCU/LrmKVvdOQlortg31zrV45DBOyUen9x7S+gSWbWBT6VEPao1sCj4NgCq6WB/8AF6lBgEBv1rLpuCHK6RweeEAwKtquG4owDAZSCeWtY2NSTz/Mk6lgxrPh9HkBvJ6L9nScQwziSwGKJsTlMwJTCtLpnQEVarGxkQ3Y+jWFIIgoorV+B07kUQfBb2fsjm5pADjWGyMycI7q8B0ozBsE1mUafPUcio1+G5tvX8PNwCP7MUjX2oBCihV1DsbaXa2Il1hrJczssjX4aL+bkIiX+C5Y6e5u7OV+oAPUXCgqWtRpHpUpQenegeiWAkwVLkNVW6nrPfP2YcoaGjqWhzqpTY6WW5AVbopGxdQ7BKq3IYoOFCVDmSpHlXpxuW48x091xlk9BzfHn2Z16b2Ei8nr83FnVb5yxtFjiRPkjMK3BHajCLKFM0y57IjuGQHPf4WCmaZrFFknb+VDcF2YqU0E8UEWaNAtSNAk6uajDG3Su9WnGwMdGDaFi9PHCKlZ3HLTkRB5Gx6CN0y2BTsvGbXSq6kc/DiKK+c6QPgo1vXA/Chp7ZQLC4uirQQ3NPJU0kQ6fbV8IVV97M22EBfZgpVlFkbqOfOSCcNrsC8bc+lJxAQqHH6uK+mG22ZyosrOsOIl1MM5MbYWtWz6Dr9uVGi0xeCgEC7p2HWlXoGyXIa265MON2Sg6qr9M9ljQIj+alleV+sJHyKh0ZnBLfkJGcWOJHqY0fVOlbfBgGGALNmK5ZtUbgG2fx64VU0dMvkzfFB/uT4W4wswg2wqUxOqxyuecHFYqgL+bhnXTsnBycQhEqwsKalBo9DZTyR4a1Tg+imSdh/WRbjX0F1ybAsclch3bpkBe0mudeqkoRziZPsHz53mM0726lvnq8mJQgija6NC48hOql1rprzmUsO4pLnV089YhiPMj8gcMuh2aBlBjIqDmclEyeLKhHHpR5yVXRR61x91fPxKtqSz30hlE2TM4mlO6HPjqttRhAUcvpZHHIjkuBCElx4tc04lCaCzrtxKI3oZgJJdBFw3oWATMj5EKpcQ9mYwrCy074FOpZdRhKuXYXSLZO9E0NM5N/5AMO0LERhPu/v5OQkq8Phq2Z8vYoTSRD57uheYuU0ObPIpmW0tr6H2w93hO5BEx2IC/AZNcnBPdUPoorvPgWppSJXKjOcTJEp3sh7XEYS51YiFKket+MJDHOUQulNcsXd+N0fBwSwTcCk8vZ+Z9+rNja7p/aye2ovsXICRZDp9rbR7m7Cr/j42vD3ZhPZMxAQcElO1vg6OZw8SVJP058bIiCH8SouVnkbCWt+wpqPpJ7DwqI0vY+8UUIWpavaBXhlJ6IgYNkgizKmbSMi4JRUOjx1hLUAIfXalZ6SYWCY81v2mhsXV11cChySwhp/PU2uIGm9iCQIBFQXbllbkD/d4a3mt9c+hm5brPLVVIjey8CKzjBSRo7jqQtsD62h2VU7b3nRLLEndpzRQuUF2uCK0OSqnVfBcMqVm9wGcmaRglnCJc+/8U3b4lzmIm/Hjt0yzwdZlFjjb6PT08jR1DnOZS6ye+oQIdVHtePqrWK2bZM3i7hvEblQFET80+XDollmvBBFtwyUFZ54umSFE7Fxfu/wa/Rnrp6dPRmf4Ln+k0ScHurdl27ErV2N2NNSCaZloyoSrZEqwn43j27pYiqVw5yuRGiKTHNNkF/64F3I0nRpWQCnprK1q5F1rZVrs6shTG3QS8j/7g8GlwMbMG2b8lX4UBUTspsjHCAJIuoS9x2fylAqXbu1xjBMRkcTgEBjYxDLshcls91KuGQFr6IhCcKyNcMBSqbBmeQUBUNfRqAi4FTa8GlbmMw9S7K4h4BjJ0HXfWTLp8iWTwA2jf7P45BbqHI9QjT/AwQkZNFNve8nAYGyOclg4n9hWGlcSheqfHVPI4DeRJQz8SnyxvKyaktFtlwmXijgVVV8msZErhLIuGSFfaMjhFwu1lZX45AVovk86WKRPcPD+DUNSRSp8y5MYg1rAR6s2cz5zAgFs0S7p45W9/x31nv48UFYW5xALwkSd4UeQBPfHa2ypmWRKZWRRRGPpmJa1lX9XgBSxRJF/drPUhuTZOavKJT3YpoJxIwHr+vpRdcu6SdJ574Jggh2GVWptBEKCChKG7nibkr6KXyuj6EqK0fqvxaG8mPsTxwnXk7iV7x8qOFR1vtX4Ve8KKLCs6MvzgswADRRpdlV6bLJGXmG8uO4PH7Gi3HejJ5AQmKVr4ltVd20uGs4EO9lX/wMkiByX/VG3LKDl8YPsTd2ZtpmweDR2q3THJ65k3Qbm5Klk9JzvBU9hSoqVGsBHqvbhk9ZnGdX1A30myRZLosiQc09Ty1qIYQdXsKO6xcCWHGS94nUeb568UWeariXdnfj7CQmXk7zo/F9vB49MlttuL96CzWOqnmR0ypvy2wUmNFzPD+6mw83PjAnEMkbRQ4lzvDc6G4Gcou7Fb8TaHc3cGd4A6PFKaZKSV6a2E+inOb+yFbW+NrxyJeM/IpmiYlinAvZYU6k+nArTn627YO35LhVUaHD3cCPAN02OJMZ5OXJA9xfvQXtiqqSNT1Zuh5uyWQhx38+8NJVTd9mkNZLfHvgDGGHm59YtWVWTrbKO/9mDLgrgZmmyASvWC5LImta5k+QQr5LN5XP5cDnun0zVovBtq/tg3IjcqrXgigISyaDNbSE6Ds7BjY4XAogEKn1I8mXti+XDb7/vaP09o4TCnl4/PENvPXWOZ756I4VOd4//m/fJhFdnBBf0xDk537ziSXtSxJFqp1uPIpG6jpUlWwgWshxOj7JlsjSXKVrPB9BFDQUMUiN55mKw7Loo8r5EF5t4zSxHWTRh4BKjefD6GYMAEGQpyV4ZVxKOxH3U9jYqFIIcREp3suP9Y2xAfqX2dK1VERzOY5PTlA2TdbX1KJIIslikf0jI6yprqY/kUASRCwbzsdinJiaIOxyky4VOROLciYa5Wc2b1nQfVgSRGodQWocASzbRhOVmxZwv4d3Pyptl7eGQ7AQprI5/u/nXqS7JszvPHovJ0Yn+K8vvHrVbfJlnbF0ho9c8bnf/RlE0YMwez+LuJ2P4tLuwsZCFD2Ioh8BgaDvF5CkuYG2Irfj93yKyrekIkkz1WABj+NxHOo2wEaW6m78xJeBs5k+xotTWNg8WnMP94S341e8s3Otxd5ukiDiV7w4JUelLSpzEa8cZmdoNZ2eBi5kx4iWUqT1HFuCXbS569AtA4ekElK9yILEhkA7bZ66aeM6hWrNDwj8ZNujyIKEKIl8pvVhXLKDfbEzbAy0szHQwVQpxcnUAMP5Kdb4F1erLBkG+gIVjNsNKxZgCAjUO6sJKB7eih6jN3ORGkcVQdWHbhlMFGOMFaNk9Dw2sC3Yw67QejwLZO873A2s9bVzNHWOklXmuZHXOJnqo9Vdh1PSSOt5LubHGS5MUDTLrPG3Yds2x1JLM/daaWiSyr3Vm0npWb439hZJPcPbseOcSvfjlV24ZReKKE2T4EuUzHLFP8Mssjmw6toD3KzjFhXWBzqpdYQYL8aYLMX5h4Hv8/LEAcKaH1mQKFplMnqeFncdT9TtWrAydTXYwMsj58np5SW3OceKOb56/hghh5sPta+97Twobj3sJeli3yzfFAFhyYHo1ESK/t4Jjh0YQJQqQcXP/MrDeP2XAkZdNzl5cpgPfHALP/zBcXTDZHLy6uaUy4FlWliXPcxN0yaVyDFyMUYw5GHDtrZl7a/W5SWgOa4rwADI6CVeG+1fcoDhkOsX/Lco+RfkUKhSCFW6VGo3rSICApLoxqUuvU3oXHKKt8YHiZduVC1sYUzkcljYbKitJeR0cTGV4nw8zvl4jLWRCD5No8nvwyHLnI5N0RasotUf4PDYGOtrahhJp0mXSgsGGBdzExxMnOOZpntvyrEvF/25Eb43+jpB1cejtXcSvgrn8J3AsWQvz468QrxcIZSKCPzuul+4YW5hX3aY747uptpRxSM1d1yVW/lOwrAMvjr0ZZ5u+Dhu+Z03XLwSM89Qc1pFKFMqcW4ySn3Ah2cR9+vFHrmK3DRv3xW1p/lQ5SufdQKS6EcSF25Tl6QqJGlxNaSbiZH8OBk9h1/xsiGwquJptoT3jiAIKKKMS3KSMJPYmCiCxIF4L2fTw+i2QY+vhZDmxy07FpyjVjsCVBOY97lLrgZAQqDRVU3ZMgiqHn44doaRQgzdMog4AtQ7ry7iUWmRuj1NVy/His3cbGyaXTU8VnsHXx9+mZOpPsaKUSRBms2o2lT60XZUreXjTY/Q7KpZ0ABHFRW+0Pkhfv/MV+jLjZDUsxxOnuVkug9REDEtC93WcUkOHohs4+GaHbw2dfCWBRgAfsXDUw33Ua0FeH70dQZzY0yWEkyWEojTJNWKHeClmZ+ISI3j1tycUGmRanBG+GzLk/xV//PEyimi5STxcgpZrPiDWLaNaVtIgkjJvL42iHR5eT2hNjCcTfF3Zw8Scrh4qLHzPVWuZUBAuGZ1wrbt2arUrcRjT2+lXJp7Xbk8c6tKtm1jGBY1Nf7pv1nRY//Mzz+IeVmAYduVlqzhgSj/8te78fiW18JY6/YQ0JwMZpLXdTxZvcybYwP8dM9WAtrNb58UBRW/cxdex9K17C3b5kdD5zkeHb9p11HY5eJCIsYPzp/jjsYmksUi0XyesnmJe3F4fIxql5uuqhBvXBzkzNQUZdPArzlwKMqix2bYFgXj5nDOrgdFs8RIYRLdNmZlVW8lGpwRHoxsJ15O8YPxtxgpTF2zDTmj5ziYOI1hmzxcs3PBdQrT52nDNaus7yRKVpGzmZMY9rtDCS3kdvGfP/DwrOQsQHNVgF++fxdrahdu9To7GeVLb+x7pw7xliNj5ChbOg3OGtyS65pmipdDQEAWJWzAKWncVb2OjcGO6ZkauGQHrhUwz1MEiY2BDlpcNbPBj0NU8V6lPQpmWqTeq2DMQ7e3hV/u+jgH4qfYEzvBYH6MklkmoHhpdzdwV3gDmwOrCGuBq5akW1x1/Ps1P8NrU4fZGz/JcH6collGE1VqHEF6fG3sDK1lra8dl+zgTGYARbh1mW5BEPAqLu6PbGN9oIujyV4OJ3rpz40QL6cpWzqaqBBUvNQ7q+n2NrM5uJqWZVYEVhqaqLArvIFaZ4jdU4c5ljzPRDFGydJRRImA4qbWGWJLcDVB9cZMeWbgkGTurmvlnro2/vbMgQV5GRY2Z5NT/O2ZAwQ1J9sit8Zl93aFJFQscRab+hm2ddN03y3sJXOiAlVuxobipJI5WtojSLI0T8dbUSS6umr54z96kaGhGKZpsevOlev1DYbnX9e2bePzu9hyRyd7Xj3DQ+/ftOT9NXkChK/Dx2IGlm1zMZPiBxfP8fGuxU3RVgqCICILHmDpmdu3xgb50dB5EleRQr5RhF0uHmzrQLfMaT6KTU+4GsOy8Kgq3aEwumni1TQ8qkqtxztNNbVRJYn3dXUv6g7skR04JJU90VPUO8MIgoBHdhJUb332+t2AoOpjR2g9lm1xNNnLWDF6zW3SRo4DiZPUajdGRL0VKJrF6eDi1iddoNLiW+ef+1xyKQrNVQHqAwu3cmXLZdyLVDeuF5lSiXi+QNjtWvF9rxTERRzNrwYLi5JZRhJEnJKGR3YuWKm4UQiCgENSr+p5sRAqLVLvngD8D07+kIFcjP+86SkC6tLfbSvMwbARgEZnNZG6u3i4ZkelcmHbCIKALEg4RBVFlK96QQiCADbUOkI83XAvT9Ttmnb8rvTViYKIIsrTZnuVIOWRmh3cGdqALEi8fnCAAeMED2zuxHdFNrTJVcN/3/DLs+7bAeXGJ80/2t9LJl/iwa2d+D1O6h1hwpEA94Q3Y9jm9ESucvSiICJddvwLOSPKgsTO0Dr+fufvApWKzlKI4L/U+VE+3/40AC7JgWMJEbggCGiiQre3hRZXHeUmfc7ksNJPL6FOH++NQABq3V5+ce2dvK91NYoo4tcc/O7+Hy04UTFtm72TQ3yl9zABzUGnf+neAP+aIQgCkijikGUKixADS6ZB+SY9wEzLQreWFmC8/qOT7N19llymyOd+/TGe+6c9fPrn7scfvNSKoaoyH/jgZjZsbGJqKk1LSzUNDVcXULhRCIKALEt4/S6mxlPX3uAy1Lt9NLj9KKK45O/hSsSKOb7df5pHmjqpuoFg5WZgLJfm2b6THI+N39TpmCSKlUnNdBVCEITZdklBENBgVvhBEEX8kjRn3cVaSaAiqX482c/J1MA0X0hgR2gVj9XN9zb51whREFGnM8Iz38/VYNs2GT3H+cxFItrNvTeXitenXuLlyR8saV0Lg7SevLkHdAPoCIf42bu2zQs6LodDludUPFYC5yaj/PeXX8e2bR5d3cUj3R20BAM33F6bLZX50zf38sLpXgCqXC4+sWUDz2xcu+R9OCUHsiiTKmfQraVXnizbIqsXSOtZHJKKf3oOmC2WiOVuTrvncjGayFBYAmH/nYCNzd5oH73pCcrL9Dpa4ZR/pQFIFEQckopDUomlcgyOx6kN+agPL71/c7acJGlLmihfvt6j21ZjA8oCKjOyKK1YJn4G925qx7YrmVaYeREqy9YMnkFle3Ue0fpa8CpurufMBEFAQqiUBbk5pGdFFHm8aRW/vukeGt3+yoPQtnmgoYNoIcfvHdm9oFGXYVl8d/AM1U4PP9uznRrXexnGpUAVJbyKg4KxsHxo3tAp3iRjNN0yKSxRVejcqVGe/Mg2XvrOUQRBIJ8tzU4aZ/enmxw6NMCOHe2sWlWHKIrzqhwrDdu2SafyHHizl0DV8vrOJVGkKxAi7HQzllucPH41mLbNqfgEXzl7hF/eeGs05hdCplziH3uP8sOhc9cdPC0HAsxpLr9yYnP531euezW0eer4N2s+MeezdwPJW0DgROoC/zD4HXozgyiiQrenmQ82PECLu26eA/XJ1AWeG3mZC9lhLCxaXPU8FNnJXdWb5rSMZPQcR5Jn2Rs7Tn9uhJyRxyO7WO/v5rG6O2lx1y3qTn815I0iL068zZvRI4zkJ8gYeZ4beZXvj705u87jtXfxmdYPzGlzFQSBY8leDiVOcy57EVVUWOVt4emGB2l01S7bMXghZI0soiDQ5GqdZ6x3JQpmgdS7OMCo8XkIe1zIV5Fervd7+d33P4RLXRk/j7JpMpBIcmy0YvZ2ZnKKPQND/OLdO9nSuLjX2VKgSiKrI2H+cs8BAMYzWV4938dT61YvOUiqc0TwyC6mSnGGCmPTiqTXnjPlzQIn0r1YWHhkN02uCjn9lbN9/L/ffvn6T2oFoVsWZePdUcEompW5gmFby04o3bSeItuuEE0vjMQ40T/GHZpKJOhFFC89xiz7EhlVFC69LEzLRhTAml0mzE4oZvY701srUNlOFIXZvvJKyWxuzmVmmX3ZPmeed1cb71rnuNB4c/rb7enahcBs3/CVxyLAZec3HaZdsd3Mstnzvmx/s2NalxgeM9/n7HiXLROEyiRoZiI3s0wABLFCLlvwexaXTt69HKoo8bs7HuEj7etQROnSpEAQ8CkaH2jtYaqY4y9P7VtQ2rNsmfxD7yGqnW4+3rkRr6LeNILyjwtUSSKgOhY1QEuXi+SMxX0ybgQl0yR7FQ+OOZgOzAUBTKNS7bzyKWZZNqdOjvLNbxxg2/Y2HnhgDXV1/gXN+a4H//GX/56p8bmkccuyiE9l0BwKn//Nx5e1PwHoqYpQ6/Jed4ABEC8VeK7/FGtDNTzQ0H5Lr3nbtskbOl85e5ivnD28bF7Vuw2SIC4ofX6rcSJ1jpOp89Q4QuwMbWCyGGN/4hQD+VH+r1U/RYMzMvtMfyt6hD86909EHFXcEaq00p1K9/Glvq8zmB/jUy1PzAYZQ/lxvjf2OjmjwGpfK27ZxVB+nN3Rg0yV4nyq5UnaPctvQ5UEkSZXDQ9EtjOcn+AH42+y1t/Jzqr1s+u0uuvnhS7Hkr0cS56lzlnNHaENTBRj7I2dYCA3yu+s/hlqHKEVud57fOt5vPYpHOLVOwCSepy+XO8Nj3ezIAoC4jUm3pIoUu1ZOcn1VKHIuanY7BygZJhUe1y0BAM3vG9FktjYUIfPoZEuljAsi5FUmvPRGD01i8sJX45ubxtVqp94OclzIy/S6KilzdOIyPz3wsycyrRNBnIjvDj+OgBVaoC1vkq7rW6aZEo35514O6NglLG4vmTSTQswCiWdH+3v5V9ePsJUMsv33z6NQ5P5wgfv5K4NbYzF0vzzjw5z5NwopmVx3+YOPvHQZkRB4HP/v6/y+M7VvHTwHKWywZO71vDZx7chigL5YpmXD53n668cIV/UCfvdfOT+jTy8vZvRaJpvv3GCH+w7w70bO/jM49sIBzzYtk3/WJx/+tEhTvSNo0giH7xnHY/vrJhmffH3vsZDW7t55fB5CsUyT9zRw089ueOaQcZYLMO33zzBD/acYdf6Vn7qyR1UBzwUywb/859fQZVlxmJpLk4k2NzVyBee3kXY7yadK/K339vP3lMDlHSTmiov/+MXPoBpWnzr9eMk0wVGoyn6RmNs7m7k1z9+P4Zp8tLBc3x/z2my+RKrW2p45oGN9LRUXjhHzo3w1ZeO0DcaRxDgke3dPPPARgIeJ6cHJ/izb73JZDyLZds8tK2bLzy1C920ONw7zD/84ADRZJ5IlYcP3bueezd2kMwW+P6e07yw5wyFkk5TTYBPPbKF7T3Ny74WJEFkW6QRdQE1KEEQiDg9fKJzI9FCnm/1n1iQmJk3dP7sxB5CDhdPNq9Ck67eZvevHU5ZIeLy0JtauHc6XirctEliziiTWKKy0MYdbTz7j3s4d3qM/nOT3P/EehyuuVkoTZP5uS88QC5X4o03zvLnf/YSDQ1BvvjzD63I8Ta0hHFf0UopigKRB3rYdnc3PRubFtlycayvqqXdV8Xx6DjGDXBdLqRi/NHRt6jSnKwPr0xmd7mwbJtYIcffnz3M3505RPI61bHew7URLSX5ZPPjPFl372xb7N8Pfofvj73B6XQf1VoQTVJJ6Rm+1PcNVvva+L/XfH7W/CtWTvKn57/Km9HDbA6uYq2/ogrW6W3m3635HA5RRZ7mKuq2wT8Nfp+XJ/cyUpigzdOw7CqGKipsDvRgY3M02cvLk3vpcDfyRN3dc1e8YrexUpJPtzzJY3V34ZYq5/nlged5YexNTqf7qFL9qNfZATCDoBrEa/twSq55lZ8r4ZY8KKI6/0BvI6z0+zBVLHEhdokf6Xc46AyHqHKtAFdBEHApCmtrI7w9MDQ9XpHeqeiSA4xOTwvr/asYK0xyMT/K7/f+Be+re4A7qjbjuUztzLQtymaZolXi7dgRvj70fVJGBr/iZVvVeqpvQ87QYrBte5YDKSAgC5f4KZZtXxfvMqOXrlvI46YFGC6HygfvWYfHpXGyf4xHd6xmVXPlwjEtiy9/fz9dTdV86pEtWLbNf/zLF+hurGZjVwPjsQyyJPHl//tT9I3G+Hdf+i4Pb+uiMRIglspzsm+cn3hsO3eub0W/rIzUUO3nix+6C5/HSTZ/6SVYLBv8zXf3saathl955l6KZZ1//xffpyHsp6e1hvFYBgT4m3/3CYYmkvzmHz/HIztW0RQJXPUc68M+vvDUnQS9LmKp3JxliXQBv8fBb3/6QVwOld/8o+c4e3GSwJoW/uLbe8gVy3zptz+Oy6ESS+fxODVS2QKpbJGzFyf5Dz/1KNVBD7ph4tBkXj7Yz5mLE/z2px7A53bwtVeO8sqhc0SCHsJ+N42RAL/4kbvxOFRimTz/9W9f5N5NHfjdDl7Yc4Ytq5r40L3rUWSJbL4ysZxMZPi7F/bzhafupKHaz6Gzw3znzZO01lWRzBQYj6X5+Q/fxcbOekq6gXq9/Z3C1R/bgiDQ5qvis6u2MFXM8sbYwIIXdLyU54+OvUmV5uSuulaUa7w0/jXDJSvUuhZvmJvMZ0mU8rP8qJWCbdtk9RLRYu7aKwNbd3XS1lXD8ECMYMhNXWMVsjL/dy2VdPL5MrYNmkNGc6xMGwDAz/1fS/O4WA40WWZHTRN7J4YYzi6Pw3E5bOBIdIz/cuAVfmfLvWwM16NI0jsyDbJtG92y6EvH+etT+3m279RVzRvfw42jw9PEGn8nnstUZlZ7W3l96iCTpTi6baChsjd2gqyR567wJnJGYfZ6MG2LVd42zmUu0psZnA0wFEFGkkTKlkHJLMwqGlbUbASKZvm6zJgvr6DPbipce7Lb6Wlija8Dj3zZefra2D11kIlSHMM2Ubmxe/yO0NIliDXJwfvrPoJTujWmt+9G5MtlJtKXKrC1Pg+tVTfOv4DKZabKEqsj4dkAI1fSGU4uXX5cEASerLuf8eIUBxMnmCrF+duBb/APg89S46gmZxSwsTmZ6uU/nfxDRorjsx5sDlFjY6CHx2ruXfB8BKFiRivd5FbcxWBYNoZpLrslybAtjiWGeH3iHCHNzUN1a6h3BQAYL6Q4FL+47GOZLKTI6teXjLwlskvJTIGL4wkOnhni+ddPzH6ezhdmJ5bvv7MHQYCQ30W1300iU6AxEqDK72J1a4Tn3zjB4HicnWta6Gi4egQ6FktjmCarW2rwujS8Lo0N7XX0Dk3R0RCeHm8NoiBUxgt4iKfz1wwwroU71rUSCXiQJJG6kJdMvoRpWRw6O8xvfaoSeIiiQHXgUrTt0hQ2dNZTX12R5FRkiXyxzMhUilcPnud0/8Tsutt7miiW9YrqzESSF/efJZ7KYws2gxOJWR3lR7av4s+ffYvxWJq717ezoasey7IZj2U4dm6M3//HV2b32RQJkM2XaIoEqA56+PorR+kbibK9p5mW2ptL3lsfquVzPduJF/Ocik+yUMdffybBn5x4m4DmZH1VbcWl+z3Mg1fRaPYEFl0eLeaYzOcwLGtFiYGGbREr5okVl1bByOdK+AIuejY4yWaKFAtlXJJjTvWwVDL4ylfe4vz5CbZsbuFzn3uA2tqFddlXErZtY5oWuUxxDul8qdhZ08Tz3gAj2dQNkaFtbA5MDvPv9/yQL66/g4caO3DL6k279iuBhUmiVOD10QH+6tQBTicmb8pY72EuQloArzz3WnNIGqIgUTAvZRIH86NYtsWXLnyDv+z75rz9eGTXLPHVtm2KZomzmQHejh1jMDdKWs9SsnRyRp68WZoOON65/H1IC8wJoqAy6RMFkYJZvO6WjOuFKIhsr3r3cJ3eDSgaBtH8ped4yOWizrdy/FVFlGjwX3qOFw2DqWWSrKvUAD/R8iFkQeZo8jRZI49hm4wUxmfXiesp4volPxeP7GZLcC2fbnlq0TbJiNfDfd1tdERuTXXj5MgEb5wfIJ5bnkpfqpzn3x78JmPFFJooczo1zn/b8mEAjiWG+beHvnEzDndR3PQAQ6DCbbg8Iy2KApoi88vP3MtdG9qQJRHdMJFEkXyx0gPnclzeZ3/psefSVJ64o4c717fx2uHzfPn7+9je08zHH1pcw12RKlpN5bKBaVnYdkVnuEp2ze7ZpV0ab6Uesg6lkjWq7FOY7S1XFYlssTTLczAtezZSFkRhnrGcIAgoksgDW7r41Y/di1NTMM3K9Fuabhv7xqtH2dLdyPs+uoZ0rsiv/+Gzs9uvao7wv371aQ6dHeZbu4/zwr7T/OfPPYEsCrTWBfmT3/gIXrcDy7IxLQtZErFsm48/tJkHtnTx0sFevvT82zxxRw8Pb+teoW9nPkRBYFdNCz/bs53/ffQNLmaTC07M9k8O81en9/NrG+6mzRdclv71vxZ4FI02X9WiSkambXMhHWOykKXBs3KT9WSpQH86vuQJ9fe+vp8dd3czMZbi21/dS11jFZ/5hQfweC9lEkVRYM2aBj772btRVXnaF8NEXkDEYUVhw1B/lL/6gxf4L3/2k8vevNUX5I6aZk7Hp1bEjO5sMsp/3vcS+yeGeKZzPW2+KjyKOu1Zc2OY4YXlDZ1kqcDR6DhfO3+MtycuLkttTJz2+3kP1wenpKGKC7+WL/+Ni2bFuPSDDfdTvYBqkyLKNE1LoJesMq9PHeKfLn6/Ij9btZ4Wdx1exc2B2Al+NLn3JpzJ1eGUHDesSvgebi500yR7GSfB59Cocq5chUcWhTmcEd00SReX335Z6wjzxY5P8Vb0IK9O7WOiGKVklTGnvdcqvlAiqqhQrVXxYORO7gpvvap4UK3Py+PrutnVsfyW8JXAD072cmpsctkBBgiokoxDUlAXeS/IgohDUpbMpzVtm7xRnuPhtlTc9ADD69YwDJPBsTguTSHs9+D3OFnTVsv+MxfxuTUCHieTySw9rTXX7AHNFUv0Dk3hdztZ11ZHKlsknq68vHOFMqlcgWQmT65YZjSaRpYlqoMeakI+TvSP43ZplHWDoYkED23tQlWu/yvIF8skswUSmTypXJHRaBpFkpDlq09479/cyY/2nSXsc6GpCrlCme7m6kXXd6gybfUheoejvHr4PKubI6TzJYJeJw3VfkzLxqkpGJbFWDTF4XMjZAvl2W/yRP8YbodKTdDDk7t6+Jvv7kMUBOqrA9SF/Tz/1knuXNdKqWxgWjbdTdUkswWGp1L4XBpbu5uIpfKkcze/91qRJB5p6iJWzPOlU3uZLCzcavOdgdPUurz8bM92Ik7Pe0Z8V0AWRWqcHpo9AS6k4wuucyo+wVA2Rb3bt2JtUpOFHKeWke1OxnPk82X2vd7LT/3Sw/zL376OXp47oVVVmTsv870oFMqMjSXp6KhZkWNeDJZtk0nliUevn6j9ZOsq3hofZO/E0IoY0iVKBf6x9yivDvfxcFMnDzd10eoL4lZUXLKCKkmIwkLi15dgA9g2hm1RMgwKpk5e1xnPZ9kzfpFXR/o4FhtfspfJDPyqg2aPnwvpOPklqoi9h+uDT3EjINDja2NrcM1V79+JYoy98eP4FS+fankf26rWAJWg8lzm4nVNHObj9nj+zvSoW9MBtTndl27a9myPumktvGw4k5qncLcc5PUyF6fNN0VhRrJeQKQiKiMJ4rQsvDB3+cx/CO8o79Cy7TleDIokod3AfOlKCIKA87L9mTegnOSQNB6suZN7qrczVBhnMDdMopymYBbRJBWf7KHN3UirqxFlCdwepyrjWMFzXS40Wb6qYthi8CkOfnvd47w2fha/6uKx+vmyv62eMA/Wrca7RJGLWDnHtwYPkdKX73l0Q9+ggIBXcdPtqUR59c7qWbLZDLqbIgyMJXjp4DleOXyeTz68hU1dDXzsoU18/+3T/PNLhymUdMJ+D211VXicGqunictQUUZoqQ3i1CoXRb6k8+axfs4NR1FkiY76EE/s6gHg/PAULx7oZXgyiWFafO2Vo9y7qZ1da1v55MOb+fabJ/nb7+5DEgU+cPdaVrdEsOxKhn+mJUMURVpqq3Bp174IL4zE+OG+MwxNj/f1V45w94Z2tq5uoqkmgNd1KUJuqPbj9zgRBYGPP7SZb7x6lL/89l4M06KmysOvNdyHJIlUBzzzNBAEQWBTVwOmZfHSgXO8sOcMbqfK+3atoSHsx+d28NC2Ll7c18uhM0Ns7Gpge08Tnunx+0aivHm8wmvwOFR+6SN3IwgCIZ+Lz33gDr712jH+96ndKJLEttVNdDdVk8oV+dH+swxNJFEUifXtdexc07L8i+Q64FE0nmpbQ6yY5yvnFlassYEvnz1IxOnhYx3r8amO90jfVyDidLM+VLtogHE2GeVscopN4Toc8o1nEw3LYjCT4ERs/NorT8PpUjl3coSqsAd/0DVHGcq2bRKJHIGAi2j0khrWxESKvXsuXHeAMTIYI5+7dk+pZVr09y79XBZChz/EAw3tnE/GmFoiL2UpGM1n+Luzh/mX88fpDobZEm6gpypCizeIT1Ur/cPTExZBuKRAZ023P5Usk1ghR386wdnkFGfik5xNRa/bG0WTJD7auZ6f6tnKL7/2HEeiYytexyiZeXJGClEQccvBaVLupWW6VcIl+xCvws3SrRIZPU6VVrfCR/fOotvbiiLKHEqcZkOgG/UyGVZ7emIsThM8S5ZOxsgTVH3UOy95CeXNIpPFGHnjxhNHAkwTqQV0y1hxbtflmLmGTasy+Tdng4BKcDDz9+znl61nWBYF0yCvl8kbOjm9TM4ok9N18kb5sr8rn838ndfLZPTyDUl7H5oa5ddf/w5eVcMlK7NJAZes4lZU3LKKW6n87VJU3LKCW1ZwKSouWa34XIjibOAhCSKSKFz292VBinjZOkLFtVoSlh+gXL6+zSXly5XClQnlGwngABRRod3dRLt7+cIcl8OhyDhXSO73esdXr6NCr0oy99Z0c2/N4p0mnd4In267gyptaW2/w7kEL4+dfucDDEWU2V7Vw/aqnkXX8bkdPPPARp55YOOczwMeJ598ZAuffGTLvG3+/Lc+Omf73/70g7N/1wS9/MpHFyZvbexqYGNXw4LLPC6Nn33/HQsu+5Pf/Mjsv90OlX/zmaWp06zvqGN9x8Ivql/72H1z/v7C03P7O3/isW38xGPb5m331N3rFtyfU1O4e0M7d29oX3D5nevauHNd24LLnnlgE888sGne55Ik0t1Uze/8xPzz7WwI81ufenDe5+8Uqp0ePta5gVgxz3cGTy+YES2bJn964m2qHW4ea+7G8Z6y1BxUOz1sDNfzvcGzC5JzC6bO7tE+tkUaWROM3NB3ZwOThSxvjQ8uS2Vo7aYW3nr1NPc+ug6Pz1kheU8/WG0b3nzzHA8/vJZ/+qe3qApWPFBS6QKZ9PU7SH/p977HhTNjqNrVrxfbhmKxvGwfjCvxdPtaDkfHeHnoPKUVJkkXTYNj0XGORSuBkCQI+FUHIYcLj6qhiZWKhm6blEyTsmGQKBeIFvLLrlAsBgGB7ZEmPtq5nga3jyZvgJPxyRUnhMfLYxxJVnTqt1c9QVi7JKua0MeJlUbp8m5DvUqAES+P8drkV/lY8++s6LG909gcWEWXp5ndUwdZ5++k1V2PLEjotkneKFA0y3R5W3BIKi7JQVgNMF6M0p8dQREUdNvgeOocvdnBefu2bJvAswZhAAEAAElEQVSSVcawDCysCpfDtknr2VmjWE1U5/iGCIKAU9LwKW6G8hMM5EZxy04s28IpO/ArK+NfVBGRKPPy8IVLQYJR+f+Zv/NGmbyuzwkcZpYXTGNFKonXA8O2iJcKxBcwlV0KRAQcslwJQGQFl6LMBiguRcElzXw2s3wmgFFYF6qlw1e1LL6dIkp4VIVEoXIfF3WDXLlMyL0yxp+WbZMqXkr0yKKI613iFu5QlDnVlXd8fFlGlm5O67cmVa6hpcIlq9fdhn7rvsFlwrRN4qU4E6W57ReaqBFxVONXltZHPpQfJq2n55WFOzztOMRLWXDTNomXE0wUJ+asp4kqEUdkyeMN50dI6al547W723BKznkTnLJVZrQwRnYRg7QZiEIlQ6kKCprkwC27cEtuJFG6LsOkdyPafFV8smsT8VKe18f6KS2QXU2UCvzvY68Tcri4o7b5PWWpy+BWVNYEI3T6Q4u2Le2ZuMgbYwM0evz41ev3BSiZBoejo7w0fH5Z263e0EjXmoppk6GbfOjTd+DyVCpvggBdXTVYlk0uW+aeuysTymgsw9mzY9d9rOWyweZdHbR31yJdJUtkmRZDA1FOH12+8sbliLg8fLp7E4PpBGeSUzd1gmPa9g1NYq4Hrb4gP92zlTZfFYIg0O6rwiHLlMsrG2DUOTsomXlGiufmfJ41kli2RY2jFWlagrVo5kiWJwEb0zbRJCch7VLyybJNckaaspUnoNQgLcJ7eLfCKTv4ybYP8uX+5/hy//O0uOtwShp5s0RKzxBU/PxS1ydwSCohLcCWYA/fGnmJZ0deodldR8ksk9azBBXfPA5HySqxN3aCyWKMklVmtDCFaVt8b+wNfIobl+xgS7CHZtfc5FqV6ueO0Ab2xI7xF33foFoLYmOzObiaByI7Vuzcx/Jpfu31b6/Y/m4XWNjTAdTy2w9/acMuPr9mR8XtfolQJRGPppEoVBJG6Wmn6+YV8MEAMEyLsctUqhRJwqO9WwKMW9wipcgoK2z8qYgSfsVJQHWiLeN555JUrpfld9s8VUtmiT3xfXx9eK5iRo0W4YMNH+Du8LUVIEzb5JvDz3I0dQzTnvvy+921/4EW16UWoLKlsy+2n38Z/vqc9aq1ap6qfz/3VF+h873IeM+OPM+h5OF54/0/a/4dbe62ecFAWk/ztaFvcCJ9ctH9iogoooImavgULyEtRIOznlZXK/XOOiJaBFVUfiyy+ZvCdXy6ezOJUoGj0bEFPQUGMkn+97E3+E/aI6ypitwSr4B3K9q8VdxT38a5VHRBsnfO0PlG3wka3X4eaOzAdR2tUmXT4Gh0lK+eO8JYfnl8hbPHh4lNZcC2KRR0VE3mnkfW4nBWRBdWr65H102eeGIDm7e0AhCLZVEWkLJdKjSHwt2PrGPrrs4FJXFnYJoWJw4N3HCAAbCrrpkPdazlr08dYDyf+bGhQde7ffx0z1a2RhpmZazbfaFpoYp3xowvXh7jaOIVVMnBvdUfwyl5iJZGeGXiKzS711I0s5TtIo/W/jRQyYIny5P05Y4hILDWH0C6xa9Cj+yix9eGX/HOI5/6FDcb/V00u+rmtCB3e1v45a5P8WbsCIO5UYpmGY/spN3dwBp/J06pkjBwSho7Q+vRJJWjibPkjAIB1cu91VuoUv28HTtKRKuafRPplsGF7BCjhUpSotFVQ6OrhqlSnKlSHOw0La76eQFGQPXxvrp7qVL99GWHKZllPIoLj3Qp4+2VXfT42gkqIqI9gWVpiGKluuFX3GwMrKLJVYtlnMcU6hHFKoT3nue3BE5VIeJxM5SsKDCNpdP0xRNsaqi74bmFDRQMgyMjlxJFmiyvWHXkehB0uVjfUGm7bQ9X3dJqiqbIKNfg8i4XTe4qPtG6nQ1Vjcv6/WZI44qw/DDjtgkwFkPGyDJVmppVC7ga0nqGpJ6cN9lfDnJGlskljpdZgfEWgoVFySpRskqkjTTDhRGOJo/hEB10eTvZWbWDDYF1eGXvba+wJAgCd9e1zhrDXUjFFlSpOTg1wp+eeJt/s+V+mj0ro9X944Cw081dtS28OtLH2eTUguv0Jqf427MHEAS4u64Vr6It6fubcXc+NDXCl88eZPfYwLKPL5MpkIhlsW2b6FSG6HiaHfd043BeerhLkkhr2yURhEDAxdYtrcRjWfwB16xS21Kx495VNLaErrmdIAj4A24aW8NXXW8pkASRT3VvIl4s8E/njpAs3f5mdbUuL59ZtZknW1YR0C6py3T4q+Yp4d1MNLt6KJo5RgpznZh1u8Td1R+mZOb53tj/IaPHAMiZKU6m30QSZHZUPYks3vqsaZOrls+0fmDBZa3uBn6h6xMLLqt1hvlI48PX3L9XcXNP9RbuqZ7fktzpnauU41M8/Gz7hxbcj21bZPL/iM+9et4yURCIOKp4quGBRY+j2V3HT7Z9EMMYomxcwLKDiFQCjDZPI7/c9UkAYsn/QMl+EKfjbljAmfk93Hz4nQ66qkMcHB4FYCKT48TYBA90tlHlurFAwLIshhJJjoxeCjB8Do3O8DsjC2vZFik9w0hhAp/sodldz6bmOv7jByvt4lVuJ65bycGQV76C0e2rodu3fN6iKAg8WLeabn8tjmWaX972AUbBLBArxylbZTRxcdkxgLHiGAXzxloHCmZxGeONkzdvTJ5SQEAVVRzSpfYV27YwbJOyVcawL5HOilaR46kTDOQGiZaj3F99LwHl9p9sK6LEE03dJIp5/ubMAUZyC5vxvHDxLDUuD7+y/i6C2vz2s5sBw7IwLJO8oVO8Sunasm3yeoU8KIviLFnvZkMUBNZU1fB4czejuRQZvbzgevsnh8mWSwxnU9xR20ybrwq3rC6ozmXZNolSgeFsikNTI3xn8DQHp0Zml8+QC5fSg3/3Q5dULkzT4o//27fnEQnLZYPvfucIq1fX0dwSRlVl3nqzF0EQ6OqupbNzeQ/NJ5/ZvqT1BAEi9QGe/vTK6OO7FZXPrdlGzijzXN8pUrexI3ady8snuzfy4Y61hJ1zOSpNXj8e5dZP2v1KZLplSkAVnBiWDgLoVpGimcOnhChZ+XdFgLHSKJZ0Ll6Mkc0UaWgIUlMzv6V3fDxJuWxSU+NDu0LURDcGMYxhbHREwYWmbsSyS5T106Szf48itSIIKpq6BdOcxLSiaOoGTCuJYVxEluqxrBSGNQG2CYKCIrcjSxFMcwrDHEUUXAiC87Ix+9GNIQQkTCsJPzZ1vtsTAYeT1ZFqFElENy3Kpsm+i8O80TfIo6s6cSjXNwG3bZtYLs/Xjp4glpvrs9ETWVxNcyWhWwan0uf56sXvsD6wms+3f5ygy0nwMpdyw8pgWCKyuDAHz7AyCCiIwtIScsuBW1VZ31iLMd11EHTfWgPIn+u+79orLYDbKsCYmXjMtAiVrYo2b6qcIlFOUOuover2o4UxCmblpe6VveSM3JIMfUQqGsql6fHSepp4KUGd8+rjjRXHZwOa5Yx3OVRRYZW3m7X+NbOfWbZF2SqTN/Kk9BRTpeicYCZjZPjB+Iu4JBf3Vt8zWyq/neFSVD7Uvo54qcA/nzu6oK+ADfxj7xFqXV5+atU2HPLyL++iaRAv5smUS5QtE336v7JpXvr7sn+XTJOiqZPTdY7EFucFxIsFfnCxl750HIcko0kyqiShihLK9H+qNPNv8dLnkoRH0Yg43ded0Qg73DzS1MWpxCSvDF9YsM0M4HRyiovH3uSN8QG2VTfS4g0S1Jw4prPRJdOgaBokSwUupGOciE9wcHKEgnkpsBIQ6PCFqHF52Ttx8ZpBxvnTo6STld+yXDbJZee31ei6weuvn0XXTUZHk2zc1MyhQwNs2NDMgf39yw4wyiUdWZYQl1DBcLk11mxaOS30kNPNL67fhUOS+caFE0s2JHy3QBQE2nxBnulYz9Pta6hZwC3epzqodXk5n4wteq0tF5ZtESuPMFq8QKw0ypB0FkV04JEDTBQHGC/0kSiNM5g7SZNrNSxSYRYQCKg1bK96nJOptziXOcgq306c0sqQkN8tMHSTgYEoJ04Ms21r24IBxqnTo6RSBe69Z9W8ACOXfx7TSiBJVYhiCFVZi20X0Y0LmOYEZaMXUXChqusp6ycolPahqRswjBGy+edxOx+jVD5G2TiNqqzGMEbR1A24nU9gWRmKpX0Y1iRe4ZNIagDLypHNP4uNiSSGMMwx7HfYbO89zIVTkemOhOkMhzg9Ual+X4jG+fqxk/gcGtubG3Evs43Itm0mszm+eewk3zt1qeLoVlXW1Eao96+ckd/VYNomiXKKkeIEDeWF3x8FfRAbC5fSXgkiELFsA8vOIwpOisYoqhRGFFRMq4SNDraNJHrQrTggIoteRGH5gZjHofKxbet5/4ZKpbDae+tax24Et1WAMRMkyqKMX/GRM/LkzBwZI0O0FLtmgDFWuFTBaHE1cz57gaJ17SyiJEj4Lh9PzzBVmrpmgDFeGCc/bU3f7GqiL9e/7AqKIqp0ejp4vPbRects2yZjZBkuDHM8eYL9iYNES1FsbApmgVcmX2W1t5smV9Nt3yoFEHK4+ETnRmLFHN8dPEN2gWx82TL5i1P7qHV5+WBrz7LPezyX5tsDpzmZmKhMqI3KpHrmv5JhUDT12X+bS8yyxUt5nhs4NeczRRTRJHk24HBM9zpq8sy/K593B8J8dtVWQo7rf8h0+6v5WMcGJvNZjsUWlxDNGWV2j/aze7SfkMNFtdODe5qXMSPrGC3mFiUa1rm9fKxzA2GHm/OpGGP5hatNMxgejDE2XJHRNXSTzTvb0RxzH8iCINDQEOSxxzfwzW/sp3tVLcEqNz099ezZszxSOcD+N84RCLrpXFOP5lA4tr+fls4IvoDrHal61bg8/Pz6O/CoGs9eOEnfIjLC7zaoksT6qlo+0b2Rhxs7CF7leuzwV7FvYgjDWKlJok3RzCIJMkG1BtPWKVtFbNsmZ6RQRI2w1kjeSGNYZdxygA7PJgBkUaHNswGX7AOg27MNvxJhtW8n48U+TPvd49lx7vwEHreGrpvEEzna2qoZHIzS0hImEc8xOprAMC0iES9dnbUIAuzb30cw6CYezyFJIls2t+DxONi8qYVsdu77LZ7I0dc3Samoc3Eohtu9cPJJED3IohdJDKEqqxEEDVl043F9hFTmL/F7fgYAy77y/WlzqfJgo8jt+D0/Qzb/PIY5hGklUJR2HPZdFItvzm5lmGMY5igBzxdRlDaKpbd+TKRKbl8IgkBbVZCHutq5EI1TNk0s2+bAxRF002QklWF7cwNNAT/OJVQzUoUiZyan+FHvBb51/BR5/dJ91+D38kRP17JUrm4EFhV3+6vBsFKUzSiGmcKpNCOJHvL6BWzbxK12UTLGkAQXihggUz6OgEjJmMCtdlMyx9HNGGHXI3AdAYYkioQ8Lm6Nj/jK4bYKMGYqGJZtoYgqNQ4Pfbl+0nqGaCl61W1LZompUpSyVZmU1jpqGcgPspQkiY2NIijUOmu4kO0jbWSYWuJ4JatyEdc4ahjKD1Ng5dRdBEHAp3hZo/TQ7GrGITl4afIVUvo0Kas4ztnMOWodtWhXca28ndDsDfDZVVuJFQu8Mda/oC55rJjnj4+/RZXm4t76haV7F0O0mOfN8QH2TAyt1CEvCt2y0K3ygoHS5RjPZ3imYz0hrj/AUCWJXbUtZMol/vL0Ps4kpq7puBwr5peVYY843TzTvo4Ptq1hIJ2gzu29ZoCxaUcbazZWNMtlRcIfcM2rLIiiiM/vZO/e8+iGyZEjg+hlk5GRBJa1/DaKV757lPZVtTS1V6M5FL72N6/zyZ+7D4+vCUl6Z6Y1Qc3J59dsp9nj51sXTvLm2OCKZftvBqqdbu6sa+HD7WvZUdOE8xpiAJ3+MKookWdlJu+iINHk6qHJNV8Svcu7lS7v1nmfB9VKZlIVHawPXJI231xV4SyEtHpCWv2KHN9K4cSJYWoiPuKJHCdPjfD0B7fw9tvnsSybY8cu4nJpqKrMiRND+HwuwmEP3/veUTZvbsHl0pBkcVGvgnLZ4PTpEU6cHKGxIUgikV+Uh+RxPk1JP4xhDJLJ/QMB368jCYHpqpBBJYgQpv+WsClh2za2XcKyZ+55gUsGfOL0vxe7Xw0ExOksooAgKJdt+x5uFYIuJ/d2tHFweJQ9A0PYVNqCDw6NMpxM8fZAHevqamgK+Am7XXg0FVWSkQQB3aoYeSYLRaayOS5E4xwcGeHI8NwEl9+h8XB3Jxvqr56wXUlYtkXJuvp71wYEQUG34giGjCIFKegXcSmtiIIT3YxjSNXY1JIuHSWgbSOv9yGJTgrGRQwriyj8+LVfLge3VYAxA8s2kQWJOmctfbn+SgWjHJs1F1oI0XKMjJHBxkYSJKq1MLKwtNM3bRNJlKhz1HEh20fWyBItR686Xqwcnz/eTZRC9Mhu7grv4kzm7BwZ3rOZXnaF7vixCTAA1lTV8DM920iU8osqS/Wl4/zx8bcIak7Wh965B9e7GR5F5aGmThDgH84e4nh8An0FvAoEBBrcXj7auYGPdmwg4vSQLhepd3k5dI1tA1XXbk1RFIk7dnYyMZFi5452ikUdn89FLJ6lY5ntUQCGYSJK4my1YngwSiFffsdbvp2ywlNta2j3VbEqUM3usX7OJqbeVZ3nbllhfbiWhxu7uL+hnTZfEGkJDrNd/tA7lo38cUIg4KJY0klnCpimxeRUGq/XwcREimyuxJNPbCQU8vJnf/4S58+PE6rqQBAFmppCbNt69WRKLldiYiJNU2MVTzy+Acs+SiazUMLLplQ+iGnFARnDnOZRACAiS42kc/+IJEZwOR5EkqqxrATZ/NcwzSlmsnY2OrreSyb3LXTjHIrcgSj6KZVPUiy+SVk/DYKKIGhIYjWiGCBXeBFZqsOylqdG9x5uDkRBYFUkzCe3bCRZKM62SkGF9P3Ds+fZfWGAsMdNjceNR1PRZBlJFNDNSoARzxeYyGSJ5fLznm1OReGhrg6e2bgO7Tpamq8Xlm1ds4IhIGDbOpatMxMsq1I1TqUFsDDsDAV9AIfcAFi41A5y+gUUMUBc341HXcM7HSQXjDI/Gjt90/b/cN2aayaXLsdtFWDMdC9Y2KiiSo1WmVyUrTKJcpK8WcAjL0zIGb+Mo1ClBnHJriX7RdjYyIJMreOK8Yw8nkUMhCaKE+SM3Ox4bmnp410vQlqIOkctF7J9s5WT8eI4pn397qPvRgjAzkgTP9uznT84+jp9qfi8bLxl2xyOjvDnJ/fwO5vvp9kbuBWH+q6DX3XwaFM3Qc3Js30neX1sYEE+y1KhiRIbwnV8qG0tjzZ1zxJ+g5qTugX6868HiiKx844ObNtGFEUsyyabLRKLZRfsLb8WwhEfvSeGqW0IEq7xUS4ZDF6YRNUURHH+PepwqnSsvjnOz4IgsD5US6svyPbaRt4YHWDP+EUupOK3tKLhllVWV1Wzq7aZ++rbWBuqWZY5U7u/apa78x6WjtpaP0ePXsTQTRobqzh3foJIxIfbrVUqBNPr2bY9GxCLokB19fLvtau+jQQZAQlEFz73Z2elZEHC7/0CpjmOgIQgiChyG27nk9hWEVlpRVM3IolViIIDUfQjCDKauglVWYcgOEAQkeVGRDGIKHoRBAFR9OF2fgDdOI8gyHjcH0dROoH3gtRbDaeisKuliZJh8I8Hj3J8bGKWfAxQNAyGkymGp+VslwqvpvLkmlV8eutGGgO+ecunSnEGcyMLbHnjyBo5Rq/wOLsSTqUFUXBg2UWcchOS6EYSnEiCGxsLt7IKQZAQBAm/th1R0PBqa8mWTxFw3IFp5SibUTR5+Umw60XWKPHHZ16+afvfVd3x4xtgXA5FVAiqgWlXUp2UniJejl8lwJiY5UM0OhsREeeZ3117vODseGk9TawcXzTAGC9OzAY0Dc4GREFa1njXAwGBoBpAFdXZAON6iOW3AyRR5MGGTuKlAn907E0mCvONCXXL4pWRC4Qdbn51w11U3QCH4ccJHkXlnro2Gtx+NoXreX28nyNToyRKhSVfoYog0hOMcFddK/c1tLMxVDfnweNTHNS4vMiCuCITZUEQZisOoijg8znx+a5PWeOOB3p49itv8a1/eAtFlcmk8rz43CHefvn0grOu+uYQv/6fFpbtXAkIgoBPdfBQYyebwvXcU9/Gidg4h6ZGORmfeMeI4CICIYeLzZF6tkUa2RCqpTsQvq77JqA5ibg8jOTSt8w5+XZEba2fF3+UprbGz6ruOr757EG6OmtYtaqO/v4pXnnlNLIiYdk2XV21CNMB8eXcIdu2icWyvP7GWU6dHsXnc+D1OejoiBCJ+Dh+fIjvfPcIA4NRwqGFAhMBl+P+BY9PEARcjrmKMqLoxe18cs5nphkDFBSlC4/rqTnLNKUHTZnf6qap69DUddf+kt7DOw6/08FDXR0EXU6+c/IMb/ZfZCqbu659iYJAd3WYJ3u6eaKnm5aqwILrXcgO8vXh79/AUS8OwzJJ6FcPiBxyA5pcaaGcvstQpMDs8qDzjtl/+x2bAfCoqyvcDNGNIMjveIuUaVuMFpJXXUeYblVc6lNZEkQCqpOQ5llQVfJquG0DDACX5KJKDTJRmiSlp4iVYjS7muatZ9s248WJWYJ1k6sRURCWPeF3Sc7LxksTLUdpcc9XmLFtm4nSJDmjMjFodDYgCWIl63STIQjinDnSO/Vqf7Chgwa3j9ICnAhZFKl2VAKxsmFwbjKGYVpsbLqxrLBDlvlgaw9+VSNVKi54rgLg15zIS2jrgArH42d6tvO+lvkvwFuFsNNNUFtZmTpZFOkOhGlw+9he08SZxARnElOcT8UYzaeJFvLkjDJl00CaJqMHVSe1Li9tviCrA9WsDkZYHawm5Jgf1CuSxH317bhkFfOKAKPe7Vux6sb1YN2WFlRVZuRilGy6yMULk6xa10R9c9WCJO9A6J1RGBIFgWqnm4caO7ijtokLqTgXUjH60wnOTv82Y/kMhetw8l0MiijS6g3SFQjTFQjR4QvRFQjT6gsuK1O10Ln84vpdjC0jwPCqGhtCN6dSdL3wKBqfWrWJe+pbr3v7Ju/Vq2zRZI49JwcYi6eRBJFxvcCGxhbaOyI89uh6OjoihEMe7rt3NaNjCQzDYk1PPZGID0GAJ5/YSDA49x5UFInGhiBup0p0NM7EwBRdHRHW9DTgdKqUywa1NX6qQh7c7pVvnxVENw5taXLQy0XE6eH/3fnITdn3jyvWh2qvS1Xxcng0lV0tTTT6fdzR0sSBoRGOjU4wnEzNIWwvhoDDQUc4xK7WJjY31rGxvhafY3GFy4yRoz83fEPHfKO4nq4Tv2M7JWMcp9yCIgVvwlEtDo/s4FdWP7TgMkGonM259CS7J3qxsOjwROjwVlOluWc9LkqmQbSU5Vx6gvOZSYKqm0+27aDbX4NHXt6z4rYNMCzbwiE5qHHUzE74Y+WF1ViyRpZEOYE+rRbS5GzEwl5WgGHbNpqoUeusZaI0SVpPEy3FljReo6sRkeUHNNeDnJGb443hU7yI74BR0cZwHRvD154ciIKA3+nAvA5y7kLwqQ4+0Lrm2isuERGnh0ebuldsfzcLlm3z+ul+Xj8zQMTv5iM71hO6Dik7t6KyrqqG1YFqEvUFJvIZkuUi6XKJsmVgWBaiICCLIm5ZJaA6qHa6qXF5r2mmVpm03rhJ3UrD4VTZsL2N9dta0csmr3z3KHc+2MOG7W2ICwSiKyHA9uz+kxy9OIZumHxw6xo2t9ajyAu3fwiCgEfR2BiuY32ohky5zFg+w0Q+Q6yYZyKfZSSXZqqQJVkqkioXSZWKFEwd3TTRLQvDshAEUEUJVZLRJAmHpBDQHEScHmpcHiIuD7UuL/VuLzUuLzVODz515TTdH2zsWJH93Eo4ZYX7G9rnfR4rnmCycBCP3EC9+x4kUcO2Lcbze4iXThN2rKPGtXNJY6TzRQbG4zg1hc6mMLlSmaxtgAh37uqcXa+5OURz81xdGdu22biuiVJJZ2IoRnVDENOw0HMl1qyqY2okQXk0QWtTCBEBl0Nmw7pGLNOiXDIoF8sI0wFgatrw0uN3XdXhfikQBQeqsvLPUUEQCGpOPrN6vmHge7j5UCSJ9lAVTQE/25sbGUqkmMhmGUmmiObyZEtlCrqOYVmosoxLUXCrCg1+H/V+HzVeD53hqqsGFlfCIWqEtSAueeWSbIZlEC0lSBvzOx9uFLLoQVY7r73iTYBbVvmJ9jsWXX4qNcbB2CA1Ti8P1fWwq7qDGocfj6LNyuDrlklWLzFWSPHqxFleGTvDcD7B082bli2Vf9sGGDY2DslJjSMCqcqkPl5OYFjGPDL1ZGmK7PSF5JE8hLQQ0XJsWen9yngOah01HAVyZo54Ob7geNFSdM54YTVEQk9ys+sJRbPIZHGS0mXkpQZn/ZLJ5alCkeMj43g0lU1N9VyMJzk/GaMrEiJbKrN/YJhMsUTY4+burhYaAn7GUhl2n+snkSugmxYf2bKWOr+XwXiSH50+j2FW2BE/e9c2bNvmjfOD9E5G2dBQS0soQKGsc3J0khOj4xiWhW3DluZ6tjQ3MJxIsX9gmIl0hrDXzV0dLdQHfBwdGuPo8Bi5ko7fqfG+DavxOxd+YOmmyanRSd68MIgARHwePrixh8l0lld7+0nli3gcKjvbmqj1eTk8NErE62FNfYS3zg+iSBJrGyL0TsQ4OjRGvlwZ8/0bVuNzOjg4OMKhwREM22ZVTZgHV78zkyrLsvnSS/s4OTxB2OuiPujj/Vuuv+oiiyLVTjfVzoVbDH8cIQgCqiazekMT/io3iiov2xV8qTg8MMp3D5+hqBusb65lQ3MtyhL6y0VBxK858GsOVgerK4aNhk6qVCCrlykYOgXToGjo6JaJaduYtjVbNZAFEUkUkQURRZRwygpeRcWjangVDY+iLom0fS0M9U9x9vgwW3Z1UnUdfIDrgWXZXBiY5MSZUYbGEmSzRQRRwOtx0NJQxY7NbdRUz+/tXgk4pBC2bZIu91Pr3oWEBgg45Qh6YT/pcv+SAwwAr8tBT0uETV2N9I3GKOvmompQc2DDSP8kZw7207amAV+Vh3NHL5KOZ7EsC3+Vh0wyRyDsJTqeJJfKV/49lkQvG9g2tK9tIDqWZPxilNhYkp7t7dS3RW7avfAebn8okkRTwE9TwI9pWWRLZXLlMiWj4hNl2TaSKFa8nmSJgMOBQ5GvK3lR56zmkZq7aXE1rtjxZ4wsL028xf7EsRXb50rCsCzGUxnShYoMdHNVAI/j2tUDQRBwLsKVmyxm2D1xlpPJUZ5oWMfHW3cQdngWrNIEVBeN7iBN7iCD2SgvjZ1mY7CRxxvWXzOxeDlu6wDDJTmpcdQgMGOckiBtZKhS55alKoTrSrtSnbMWt+Riyo6ynAm/jY1TclI7Z7wkaT1DlXbFeKXJ2QCj1lGDS3aRKCduev3iZOoUI4VRzMs4F+v9667pOD4DVZLIlcocHRpnfUMdFyZjnBmfYlNTPZoss6GxlrJh8tLpC9T6vdT5fHz76Bk8DpXNTfUIgoDXoWHZ8NdvHGRnexM1XjcIApIoYNsC9QEvp8YmGIgluKuzBd20OD8Z5dxEjA9tXsvJ0QmODI3RGPRzcHCEfFlne2sje/qHODY8jt/p4NXePtyqysbGWrwObVH1Cdu2SeaLfPXAcR5Z04nXoeJWK+7UHofGuvoayobJoaFRDgyO8NDqDi5MxbFtWFMfYSCWxKHIdNeEefVsH16HysamWrxaZcx4Ls+3j53hsTVdCAI8d+Q03TXVNAZvzqRmzrlhc2EyhmFZZIplJlIrn4n514Knf+JOQhHvggTvdxtEQcCjqO8Kp+zLcfLwIPtf76VrbcM7EmDk8iW+/8pJdu/pZWQ0STpboFw2QQBNlfH7nLz6di9PP76Je3Z2XXVfieIZcsY4XrWJaPEYQXUVZSuNLLpQRC+T+f0UzRguuZZ69z045TBupQ6v0kRWv9TCUeHStOCR67FZnjrbeDzDmYuTvHbkArlimcd39uDUrt2iZmOTzxSRZZn6tgilQplT+y/gcGloToWqiJ9gtY9AtY/Bs6Mko1lUh0I+W8QyLKJjScJ1AUYHJhkfiFIu6eTTRSzTuu4AYyyW5ttvnaJ3aJKNHfU8dfc6fIv4bdyO6B2a4kvffnve526HyiPbV3H3+uVJo9/OiGfzJLIFqn1uqt1uJFFc8eeoX/HS6Wmhw9OyYvtMltMcS51ZdHm6XORCOopLVqh3++lLxwhoLhrdfqQllLRNy+JceorVgYUJ3pZtTyuMLryvbLHEv+w/zv6ByvPld564j0032FI+kk+wN9pPUHWxJdRCtePaz+lap58d4TaOJoZ4YfQE99eu+tcRYGCDIsoElSBe2UvayJDUkyTKifkBRmmSnFkhJDU6G3Bcp7O1LEhzxkvpKWLl2AIBxhTZaQWpBmc9TslxU4ML0zY5nT7DjyZfnuPP0eXppMPTsWQ5Xoci0xDwcWZ8iqPDY0xlc9T6vPgcGsdHxjkyNIaNzbnJKOsaasiVyowkU7xv/Sq2tTbOEoCS+QIX40l++cFdhD1zzcuagn5q/V7KxqUXsCJJNAZ9bGmpJ18uc2pskpFkmjPjk4wkM0xmsgwn0gScTkqGya72Zo4Pj7Onf4gdbYtnNWwb4rk8yXyBuzpaUKdbUizbJpbNcXhoFMuy6Z2I0lzln/cb2Ze10e1qb+b4yDh7+obY2daEDQzGkpwYGcelVNSHkvki0WzuHQkwREHgsQ3dfO/IWVqrA+zsnM89+nFCMl/gvz37Km5N4d8+9cDsb7kSaG6vXrF9/WuEbducOzlCfCqDbd18QQnLsvnBq6f4xncPMTqenOuFYkOhqFMo6kxMpYkn8/h9Tjb0LP6cKFtpcvoIoiAxVTiMLLgw7AKSoFI2Myiii3rHPQxnXyVROoMibkMWV3bC7HNptNQEWd0S4dTAOCPRJB0NIaoD1+b/CIJAsNqLL+gmlylQXR9kcjiOP+zB5XGgOVUcLhWXx8HA6REu9o7hD3nwVblJTKXJJnOEagJMDMYAAZfXcUPVi2yhxNHzo+w5NYgkijyx893DZ1sJpPNF9p0eolDS5/CLAm4Ha1r/9UiinxyaYPepfqbSWZ7avpaByTgbWupoq6la0XE0UV1yknSpEAURxyL7LJkGR2IjjOZT7Ii0oIkyKb3C8fTKKh7FgW6byIKIKkpz5jcjuRSSIBLUnOybGiSouZAEgbDDQ9HUiRZzeBWNiUKGwWycjVWNRJzz7/FcWefcZIwjQ2MAZApXl9RdClLlAkO5BB3easLa0nmF9a4AiihzOjW2bFn72zfAmIZP8RLWqmcDjHg5TgeXemYN22CqNDVL8L7+AMOuZOhlL9XT480oV10OwzaIlqKXKUjV4xRXrnfQxq6YxJglUnqa0eIoZ9JnOZM5y1hhfJZ/EVSCPF77GCF1YeLqQhAEgfqAj8ZggOePnKIh6Oeh1R3EcvnZ1ql1DTWcHJ3AtG0UWcK0bIq6gWXZiJKAbVfI12XDoDBN/Jp5Bi92GIok4pyuLIiiiCgIqJKE16Gxrt7FPV2t2EDQ5cCjqaxvqKXO7yOWy/H3e47QFgrSEJxPpBQE0GSZoq5TMgxUWcK2KzfriZEJSobB/d3tJAtFTMtCFgVMy6JsVs4nls0TdFV+uw2NtdQHfERzOf7+7cO0hYP4nBouVeXhnk6cqoxt844EF1AJML7w8E4+uHUNbodCe2RlH+rvJliWxVA0xYvHemkOB6/LXO9fM2zL5uiBft5++RTjwwmK+fIcPlh1rZ/f+m8fnf07ncyz7/WzHNlzgWQ8h9vjYN2WFnbet5pIfWB2vb6zY+x59QznT49y5ugQhXyJP/h/vonDeam68m9/7xMEqtwr6pB+YXCK1/b0zg8urjxvG/ovRvnqcwdYt6ph0cyqIvoQBYW8PoGARNGMIQtObCySpV4MK0eqdJ6cMYpXbZ7WxV/ZAMPlUGmvr2JTVwPj8QzDU0kKpWsTZwVBoGVVHaZZCeycLo3tD60lly7gcGk4PRrBSOWZFGmqwuHSKOZLONwakiTSsqoef8iDosoEq32Ypkmw2jerTvUe5mNVU4T//688jW6Y5Apl3joxwLNvnrjVh/WOo3d0imqfq/KuL+sMx1K016y897QqqmjSylZsRUHEucg80LQtUuUCFjYeWUMWJWShojp6IDbEmkAtY/kUIc1NkyeIIlSSXaeTE/SmJmlyB/CrDhLlAsfio0wU0jzW2MOJxBiGZaFbBn7VyUAmwZrAwlWJkm5gmDfuUXU5dMukYJaxbGue8Mq1trNtm6xeuqY575W47QMMr+ylxlFNX66PZDlFvJyYszxRTpLS01i2VfGycNaiitd/sXoUDzWOCBdyfST11DxiebKcJKWn5ox3IyZ3eSPPq1O7OZo6Pv1JRf/cwkK3dIpWiZyRpWiWZicNEa2apxo+wBpfz5KrFzPwOx3U+T18/0SallCQpio/Rb0StOwbGGYkmaakm9OOnRKPrunkzQuDvNrbh23DZ3dtprkqwMe3b+CvXt+PIkuIgsivPnQnhmXxV28c4PTYFDYV8vCu9mYW0moIOB1sb23kjfODfONQ5eH9vvWrifg8/MuBE/RNxTFtG59DQ72KOkbI4+Le7jb+xwuvocoyDUEfH968Fk2ROTk6Sa6kM5nJ0l0Txu90EPF6eOVMH4cvjhHN5qj1ebCx+drBEwxEE5i2hd/pQJUlwh4Xj67t4rsnziAgoMkyv/rQncv6vq8XgiBQH/RR/w4FNLcSumlxZHAU3fzxk1t+J/Dq94/xjS+/Qajay6oNTeSzRV76zlFymQIf+MQdbNh2qaUjOpnm2X94i7dfPo0/6KK6LkA6meP5f97D+TOjfOgn7qS1q5KlFUURX8BFS0eE/t5xTNOirbsW/2WKRoq68j4Gx08NM7REF3fTtDjVO8bAcIz25oUFBzQ5gI1F3pgkqK2mYEZxSDYhdR2p8nmqHD1UOzZjY6NJAeQVTBjNYGQqxcGzQ3x/7xnKusGDW7sIL7F64b5MrlmURLxBN97p30AQBByuyvtHc6iE65XZz23bJsgliduZZcCKBoQ/bvC6NDZ3NWDbNqZlkcgWeP6tkzd1TN3KUTITeJTl8RD609/GJdcScqxf8apb2TCp9rnJFiuO2PZl/7sSaHc387HGJ2lzN+FdxH7geiEJ4qJBiybJBDQnHlUjqDnnzE1S5QIl0yBVLuKW1TnKoLVOH4diQ5xOTdATqEUWRHoCNcRLOaYKWcbyae6MtHE2NUHeKBNyuKleQIERKt4iK/2+U0UJt6QyUUzTn42yLdy6JJWsY4lh8kYZr+JAXKaq1u0fYCheIloEgIJZIFFOUDJLs5P6qeIUWb3Sn16thfHKnht6eHplDzXThntFs0iinKRolnDMjFeKktErLqRhLYxX9t7QeBYW8XJ8XqVkISiCwqbARh6I3E+Hpw1NXL4ijCSKbGys4z+870E8mooiSUiiyPs3rOa+7jYkUcSybYIuJ4IAO9oa6YiEMMwKKbHWX9FKfrink01N9VQeOAIOpZLh/9i29bPtUR5Nxed0EHA5MadbKzY11bG6tjLZD3tdNFcFKBmVAKfKXSk3PrKma7Y64lSU2SrDlRAEAbem8qHNa0nkChVVHVnG69C4s6OFVbXVyKKIbYNbU1AkiQdWt7OluR6EStjjdah4HBqPre2kMB1oORWFgKsiffuBDatJ5ouAXVFbeo8YueIwTIsDfTfHcOnHHYZu8sNnD1LIl/n0zz9IXVMVpmnR2FrNn/337+D1O9lyZ0XxpFgoc3RvH6+9cIwtd3TykZ+8G6dbo1TSefPFk7z43CFC1T7CNX48Pif1zSFCNT70ksGZY0PEpjI88tQWmtsutZy5boIE6sBwjFR66d4ghaLOub6JxQMMMQAIlK0MLc7H6M98B9Mq41c70e08E/m9JEu92Nh0+p9BET1cSH2T8cLblM0MJStFp/+jaGKA08m/IVasTDZNW6fV934c15CqbKj289NP7qBQ1hFFAUkQCPpcONXrez1f7Zl/+bIr13svqFgeBEFAliRkSVy0Or9SyOojjOf30BP87LK2KxiTyKID+yZ4YbVFqth9qp/jF8fYd36IdU21VHlWzmuq2VVHjRZCFmW0G0gKLwRJkKh1VLPW10Wzq/6KZSKyKCHZFWGMeCnPufQURVMnpLnZNzVIXybGYw2r52yXKOexbbiYqyS5BUEgoDpxiDKqKOFXHLw+fgFNkun0henLxOhNT7EuOL+KUdKNZbcjXQtBzU2rt5rjiWFeHDtFpzfC5qrmRe97y7Z5efw0b0yco2CW2VndjrJEwaAZ3FYBxkKqGi7JSVgLzxrgJfQkST1FjVQJOiYvI1xX+BDOG3LUdk6Pp4pqxdFbT5DUk9RKlaBjqhQlY1QCjHpHHa4bHG+p6PGt5qHIg3R42vHJXiRBuu4XhltTcWuXbmhREKhyu6hyz394OBSFhsB8MuKV+5hB4wKtTA7l0mXo0VQ809spkkStf/6+a3xL7x+ckcW9UmXK69DwLqDKsNC6lTEXJkQttv57WBnYtk22VObwwO0dYNyqqVs6lSc2maaxLUxtYxVevwvbttm0sx3LtJgaT6FMT2TTyTx7XzuDx+vk0ae30tRePZvp3vVADxfOjHH84ABb7+xk7ZZWVE1G1WR03USWJSRJxO114AvePCUywzBJZ4uU9aW/fC3LYiqWWXS5JGi0ep/AtMtokp+ewGcRBAlZdFHt2ExA7cKabj3VpACSoNLkfYR6993Y2IiCgiYFEJHo8n+cdl8loysLDlTx2kRKTZGpC//4VyLfw9Vh2QYX0t8kXjwFiAS1VXT4niZWOsmF1DdIls+T00cIOdZT576LifxeZNFNg/seRnKvYVhFal07SZZ6Gc69hm2bFMxJ3Eo9k/mDFMxJmj2PoUoeLqS+hSYFaXDfd93zhA2tdYS8Lta31OJUZbrqwlQv4918LSiigiJevxfPVfctyKz1ddHqalhwjE1V9bO1GJ/i4IPN67BsG0WU0C0Tw7bwKY45sq0NLn8l6BAqVZBPtm/BJSs82NCNJsrUunwUTR1FlNAkhRZP1aKE6ZJhYBgrGxS2uEPcHenkeGKYQ7GL/Jdj32FXdQfbw200u6vwKA5s2yatFxjIxnhj8hx7o32MFyr+PE81bcK1iELVYritAoyF7gNREPErPqrUKiZKE8TLcZLlZEW+lopEbWY6wKifDjBuBKIg4pcr440Xx0mWK8TyWsdMgDFFRp8Zrw6XfGMRvYhIQA3MI67P8D9meukKZoGA4ieoBN4VmagfHT/HH/3gLYrliizn7//E+5a03aun+vizF98mkStyV3cLP3nfVlqr52cAY5k8B/uHOdQ/yrnxGLFsjpJu4lRkIgEPaxoiPLCmg/XNyyPdGabFmdEp3uod5OTwOOPJLNlSqRKouBw0BP2srq9mR0cT3fVhFOnqLSCWZTORyvDa6X6OXRzjYjRJulDCtC08mkZtwENnTZitbQ2sa6rB51o4WNl/YYjf/87rJHKFect8To3ffP897Oq6tsrGeDLDl3cf5KUTF3h8YzefumsTEZ+boxfHeen4eU6NTBDN5BFFgWqvmw3NdXxg62qaQ8FrqoMUdYPz41H2nLvIqZFJRuJpsqUyoiAQdDtpCVfI6Lu6mgl5F5+E9k/GOdg/Qu9YlPMTMYaiSRLZynkPTiX4wO/97YLXeEdNFT9571bu6Jpvfnk5dNNk3/lhXj/Tz9mxKaKZHJIoUu11sbmtgfdt6qGlOnDN73IGE6kMu0/382bvIEPRJJZtE/F52NbRyOMbV9EQ9CFL4rJdUFcCLreGrEikk3msywjYyXiu4srsuRRkF/JlBs5NEAi5ae2umf2OBUGgui5AbUOQM8eHmBxPsXaR8W72GeqGuewXr23b5AuL8xkEQUCVLk3wHfKlPnJZcCzYWuKQgrBAZcIpvycY8B6uD5ZtcDH7I9ZXfRGv0oI47QRdpa1B96QRsiLrqr6AJKqYVomymZ7dVrdy6FaOohFjIr+PiHMrYccGjsb+EMs2qHKu5mjsRerdd6PgZjT/Otuq/901jylTKhHL56l2u3GrcyeXDkXGpamEvW4aQz4CbudNr+SsFARBwCFps50nV+JyqVdZFAlql+ZxM21RV76DNEkm7LjUmjizjVepPD8UUcItq7PbaVfxlCjehAqGV3HwcN0a+jNRvjdyjPOZKYbzCZ4fPooiSLPvJ8u2pvkaOmWrklj5mc672RpqQV6mKdRtFWAspgvuk31Ua2EmShMkykkSeqVEVTSLxMpxSlaFgd+wAgEGzLRlVTNeHCehJ2d5H0WzSLwcp2hVtIvrnXW4pBsLMJySkztDd/BE3WNzPj+fvcDzo9/lQvYCABfzQ5xInaTWUYNXuXUuyTPY0tpAKl8kmsmTLpQYiadoqLq6o20qX+TE0DinRiYRBZGgx0mtf+65JHIF/umto3zv8BlimRxlw8SwLCzLnm7GgguTcQ5cGOZb+07yxOZV/NoTd12VpzGDc2NRvvLGYXafGSBTLKGbJqZlzz5QREHg5NAEr5y8wL/sOc5ff+Ej1AYWb4FL5gp8fe8JvrHvOPFsnrJhYVqXPAoEAc6OTfHm2UGePXCS33jfPTyxcdWCE/mibjCeyhDLzG8NyZccFMvzHdQXgmFZJHIFRhNp+ibjDMdTPLv/JM8eOMVUJocxfc4ClYn+4YFRnt1/kl9/3z08sal7Qc+EsmFyeGCUv3h5H6dHJilPa6Ff/t0NCgInhsZ58fg51jRE+MVHd7G5tX5BY7tvHzrN1/YcJ18qY1jWHFNGw7IYSy6cjfY6tVm+0GK4MBHjSy/tY8+5i2SLpdn9z5zvkcExvrn3BJ++ezM/ee/WqwZVlmVzsH+E//PSXo5fHKdkGLNk277JOIcGRnnhSC+/+OguJElEugXEWc2hsPP+1Xznq/v46l++xs77VlPIl/naX+/G5XVw/+MbZtc1DYtCvkRNfWBea5PmUHB6NEpFnXJx8cn6zabfy5K07O9REAQcS5B8/XGAbphcGI3yg31nOdk/wWQyi26YOFWF6qCHrsYw21Y1sbGjDr/n2u/CQkln99EL7D09xPnhKZLTXiNBj5NIwMOGjjq2rW5iVVNkwcmlIFQMZs8MTvDCvrMcuzBGLJ1DkkSaIgHu3dDOA5s7qfJd/T1p2TYT8QzffusUh88NMxHPYloWNUEPm7saeHBrF6uaItc8n2yhxFvHB9h9rI++sRjZfAmXQ6WrMcwDWzq5e10bqnJrpkWSoLAu+HkuZn+IZem0+54m7FyPhIYiepAEBw65IuZhWnNVhWzbBtumaMYRBBmXHMEhh3DL9Uiihiy6qNLWkCydp2jE8asdqNLV38cAvZNR/vtLu7FteGx1J4+s6qQlWEli7js/xA8O9xJN5/j0vZv57sEz7FrVQk/jEn6HUpk/eWMP3z/dC0CVy8Unt2zgo5vWXcc3985iqS2I11p2tXUrfiIrW8EQBYFWT4hfWPUAEaePZy8eJlHOUTAXf55HHF5+pvNunmhYj09xLjt5fVsFGIudm0/xUa1VMkfJcqVFysYmWoqR0StRvl/xEVACSMKNkw590wEGQKqcmva4sImVYqSmx/PJKzOeIAiooopHnlt6XOdbS39ukJHCCEWziGVbvBZ9nS5vJ2t8PYgrYT98Awh6nNy5qpXvHjpNUTf44bHz/PT9W6+6zVAsydGLY9g2tEYC9DRE0K5wlHVpCv0TMYbjKQzTQpFEOmpCNIcDuFSFRK7Aof5RcqUyRd3guf0n8Tk1vvjw4u6WUKkQ/OmLezjcP4oxnelVZYn6Ki9Bt4tcucxkKkumWEY3dR5qrcO1QAvYDKLpHH/wvdd54WjvLOdEEgVCXhc1Pg+mbTOVzpHMFSjqButCfuqDvkWv8a3tDXzp8x8hkc2TyBWIZ/P83euHGImnF95gCRhLZPiLl/bROxYlms3REPTTUVuFR9OYSGU5MTROUTco6ln+y7deoqU6wLrGmnkPGWlafevk0DiZYqViEfa6aK8JEfK4KBvmbCUiWyxzoG+EL720j9943z2sqp+f8d3R0YTHoWJOmzSm8kW+vPsQAFUeF5+8cyPyApPMkNd9VTWtUyOT/M/v7OZQ/wi6aeFQZDY011Ef9GFYJmdGprgYTVIoZ/k/L+0lkSvwG++7Z9H9HRkc5Y9+8BZHBkaxbBuXqtDZUENDlY98uczZkSnOT8T478+/SsTn5laIXwmCwMd++l5ikxl++OwhfvjsITw+Jx2r6/jCbz9JW/elCp8oCaiagq4blEo6Dsel69soG5SLOrIsXdXl+WaHULIs4nKqyJKIscQXsCgKVIdWrnXj3Ypcscy/vHKEL79wgGJZxzTtOTKqgxMJDvcO883dx/nEg5v42fftvKrXxr7TF/mTb73JhdEYumFiThuhQoWULgqw59QgpwYm+K+ff3LBfViWzYsHevmXV44yHktjXJZ0GJpMsv/0EK8f6+dXn7mHtrqF713LsvnentP84TdeJ50vYZqXkjSj0TTH+sb5/t4zfOT+DXzigU1o6sLndLJ/nL/4zh4O9Y5QLBtYduV8BKBvNM7Lh86zbVUT/+EnHybkW1nls6VBJOzYQJVjLanSeU4m/oL7nH8ITKtHUsbGQkBEEGRsbAyrgG1bFM0olq2jSj4MK49u5QCbohnDazUCAs2eRzmT/AoCNq2+9yFy9TbqsmkymEhyfGyiEiROTvH24BC/dPcdbGmsZ2Ayzo6uRoailflWUTeWfE+qkkRPTTV/tfcgAJPZHK9d6Ofp9T3X7Aq4WTBMi9Njk7xw4hwT6QxNVX4eW9tNd214werz230XSebndxSsBA4OjpKaNtlbSUiCSKM7yC+uup+nmjayb6qfw4mLjOQSZIwSIgJexUGrJ8TWUCs7q9sIaR6U62y5v60CjMUqGH7FR8RRmajotk6sFCdn5JgqTZHWL/Eh3PLKPDR8so/IdAuWbuvEywmyeo6pcpT0dIBR56zFc4OE8qtBEiS2B7fSl+3j2LTCVKKcYPfUG0S0aqq16lvaKiUIAh/Y3MMPjvZS1g2+f/Qsn713y6LZR8uyGZhKcGxwHIDV9RHWNETmnYMqSTy4rhOHqrCptY67ulsJup2VB4AA2JUqx3/6xo/YfbqfVKHE9w6f5ZmdGwh752fJbNvm3HiMr7xxhAMXhrGBhqCPD+1Yy/s2rSbin/kNKy/rc2Mx3jg7wF2rWnBryrzjs22bbLHMP711hO8cOoNl2/icGg+s6eBTd22ioyY0mxW3bJvxZIY95y5S5XHRURNa9DdzKgrdtSFsQti2jWFa/OBo7w0FGL1jU/SOC9T43Pz7Dz3II+u7KrwUoXKvnR+P8e//5YecH4+SLZb5q1f2878+8/55+xEFgeZwgI/esR7Lhkc2dNFVE0KWpNmAqaQbPH/wNF/efZCReJq3z13k5PAErdVBtCsyhjs6mtje0Th7vw/HUrMBRtDt4LP3bJm3DVQSEIu1IcWyef7qlf0c7B/BNC0eXNfBLzy8i9ZIcPaatG2b7x85y3/91itki2W+tf8kPQ0RHt/YPe93GU9meOFoL4f7R7CBza31fPHhnWxrb6z8vjbkSmX++e2jfPXtY7OB863A4IVJju7t4zO/8BAPP7UZVVUQRAFJmmuK5XSqNHdUEx1PMToYo627dpaDEY9mmBpPEa7xzTPSE0UBxIocbiWRat+0Z48gCDTWB/F6HCRSSyN6q6rMmq4bM6l6t0M3TPadvsifP/c2tm3TXBPkwS1dtNYGUWWJeDrP2eEpjpwbxbZt2upCOBYhkdu2zcuHz/OHX3+dkakUgijQEPazY3UTDdX+ynMrluHkwATRVJa7N7Qtmhg51DvMqYFxdNPi0e2r2NLdiCyJnB+J8uqRCwxPJnnjeB8tNUE++9hWQn73vGP53p7T/Je/fxHDtKjyunl8xypWt0QQBYEL0/sZGE/wdy8cpFjU+eknd8ypQti2zYn+cf7kW29y8Owwiixx1/pW7ljTQpXPRSKTZ/fRPg6fG+HNEwP82h89z5/9+ofxuJYvknK9sLEx7SJvjv0WgqAgCgoN7vsqCwVwymFAYPfor9Povp9239N4lUYupJ9jPP82oiBT7dyMUwoTdmygL/0s/ennsW0LSdQQAE0KoopuylYat1zPtdIBqUKR3qnYbDBXNk1qPG5agoHpwxKQxUprjWFYWLYFwtIecooksrGhDp9DIz1dSR5JpTkfjdFTc+0KyPVgRmVzMU7s0aEx/ueLb3BsaGy2G+LwxTF+5eE7K8IvV+BPX9nDkYtjN+VYLXtucmAlIQoCmqTQ7qmm1RPmmdZtle9mZrhpgRtRECqqUcLi39m1cFsFGIvd65IgEVQD+BX/rPldspyqBBgzhGtnA+4b5ENcOV5A8ZOc5kIk9STRUnS2glHvqMe9wtJql0MQBBqc9WwObmSkMDIrl7s/foB1/jX4Ff8NyeOuBHZ2NlEf9NI/mWAomuDo4Chb2hoWXHcyk+XYxXFypTJeh0ZPQ2RBCVZBEHh8YzePb+ye9/kMqn1ufveZh/nwH/wDiVyBTLHEiaFx7l/TfuXuKBsmb5+7yO4z/dhAZ22IX37sTu5f0z47WZ3Zt23brGuqYV3Twu6clXVgMJrk714/XFHbcjv51F0b+fyDO2bbiy7fX0s4QEs4sPiXeMX5CZU/KpPVG3z52YBbVfj5R3fx/s2rUeW5WYqehmp+9Yk7+bf/9ALpQok95y5SMgwcytwMoSAINAR9/PqT98z7fAayKPLMzvWMxFP881tHKRkmZ0enuGtVKzX+udnlyqT30nc0NygVkERxWWpdtm3zwtGzHBkYxTAt7uhs5jeevGf2e7/8ON+/pYdErsDvf+d1Uvki//jmER5c2zEnoLFtm96xKK+evIANtEeq+Im7N3Nnd8uc/fklB59/cAeJXIFn958ktwRfg5uBcydHyOdKVFV7MXWTMpUXhiAKKEqlIiEIAv4qN3c+uIa/+l8/4MXnDvGpLzyAqikYhsnhvRc4cXCAnfetnlP1gMrvFQh6OH9ylGQsS6mpClGsXKOqJq/4JG3T2iZ27zm3pABDlkQ2r2umufHH1ycGKgH8y4fOY5gWrbVBfv8XPkBLzXyOSEk3SOeKONT5yZEZDE4k+Nvv7Wd4KoWmyHzu/Tv52AMbcTvmVmwtyyaZK+JyLF4FSWQLdDWG+bkP3MH9mzrnPLLu39TB//rabk70j/Py4XM8vnMVVb65xqwj0TR/8C+vYZgWHfVhfu/nP0BT5PLWnlW8/661/Plzb/HigV5+eKCXlroqHtu+anY/yWyRb+4+zqHeYTwujV/+8N08tmMVrsuqN8/ct5F/fvkw/+f5tzk9OMGfPvsWv/XJB95RToEkOLi3/o/mfS4g4FVa2RH5j5c+E6DWdSe1rvmy6I2eh2j0PDTnMxsT0y5SNOM0uO9BFBb//WeQKhbpi11Sr/Q7HHSGQ1RNqzb2NEb49oHTHBkY5eUT57l/bQc1/iW2ZwsCLkVhXW0Nbw1crIxXKNI7GV1WgGFYBiAgCeKC5zNTLdNtA8MysLARqahEKcLcZ9NoKsPpsUnMyyb2R4fH6JuMLRhgmJY92+1wO0IQBCQEpJt4jd9WAcZiEASBgOInrIZmyc8JPcFUOTqrIFXvrL1hPsTl4/kVP2EtTFKvtEjFy3GipRjZ6YCmUsG4eQHGzHFsDW7lXOY8e+P7MG0LC4sXJ16ixdVCs6vpllYxRFHgyU2r+dMX36ZkmPzg2Dk2t9YvmPUfiaU4PDAKVCb5axdoxZnBtc5JEAQ8Do3tHU388FgvhmkRy+QWXHcwmuBg3zBlw8ShyLxv82ruXtW6INdgKd9lQdd58VgvhbKOJAqsbazhs/duRV6g7PtuIOPf2d3Cxpa6RSoCAnd2teB2qKQLJUq6yVAsTVftfDOlpfwmqizRXVdNxO9lKJYkmS9SvgZnYiWQLhQ52DfCRCqLKAg8vX0NdYtwZ0RB4ANb1vBnL+4lVyozmkhz5OIYOzsuOaXnyzoXJmKMTnNBNrTUsb2jccEeW0kQeHR9F3vODXFhInZzT3QBWKbF+m2thGu8/MF/+OZs0lJRZKprfTz8wS2872Pb0RwqDqfK5js6uO/x9bzyvWOcOzVKU1s18akMF86M0b6qhvuf3ECgam5AKAgCm+5o58yxIf78f3yXtVtacThV8tkSn/uNx/D4VtY3oqerlp2bWxmbSF01yBBFgca6IJ/75F3vinvtZsK27VljPlWWCU1zGq48b4eq4FikhWhmPz/c38toLIUAfPKhzTxz/wY8zvnJKkkSZsdZDG6HyoObO7l3Y8c8PtPGzgY2dNTRNxpjNJomkclj2TbSZcf8jdeOkS2U0BSZLz61i+aawLwxmiNBnrlvI2cuTnJxIsmek4PcubYVn7tCrj18boST/eOYls0TO1dx17rWecGSIMAnH9rC/jNDvHm8n+/uOc1nH99GXeidUfcSpjPFiy5f4PpdziU9kT9If/rbuOU6qhzrEJfgj5Uv60yks7N/1/o8tFQFZ49lXXMtjSE/F6NJHKpMUyiA8yrX1pxjBzRZYlUkPBtg5Mo6w6mlV+Qt2+K1qX1IgshafxdVahBpgdbwlJ7mudGXeD26n1Q5Q0D1saNqA0/W3k+dMzLbTi5L4rQx76V3kipJC76738PS8GMRYAD4lQAhLcSFXB/xcoKL+SGS5SSmbaKJGtVa9Ypm9H2Kj7AW5nz2wux4CT2JMT1eWAu9IxUEv+JjW9VWLuaHGC5UpDwv5ofYF99PlRq8qW1aS8HjG7v5y1f2U9IN3jw7QLa0a548bNk06ZtK0DsWRRQFumpDrF6gN385EASBiK8S4Nm2vSj5dzKVo3+qQtKfCWwWmmwvFTOEZwC/y8ndq1oWlOt9t6CnIUJdYPGskyJLhDxuxpMZwCZTKC267lLgc2qz+v4l3ZiTLbpZ6JtMMJmalqqu8tEcDiz6GwuCgFOV6aip4tjFcYplgzMjk3MCjFS+yGC0cs24NZXmUOCq+u+r6qoJLKIOdrMx1B/lL/7nC7jcDp75qXvwVbkQgHy2xIlDA/zT/3kFh1PlyY9uByBc4+dTX3yAlo4Ir//wBMcP9OP1u3jsQ1u4/8mNNLUtfF/e99h6REHktReOc/xAP6IoUt9UNceIaqUgiiIf/cA2SmWTl988QzJVQNeNCllfAEkScWgKrU0hfvMLD9PU8O6oXli28f+x999hctx3ei/6qdw5T0/OGTkQGQQzRYmiAqm40gZp7c32Ot3n2D7nHt9z73G618fXaXftDV5rg2TlQCVSzCQIIucwmJxz59wVzh89GACcGUwPMAiU9PLBw5me6qrq6qrf7/d+w/tiWQVEwYawzj1ysiTRWhvkjdN9TEeTfO3V0zz/8BacdhVNlctWMCsUDS4MTBJP5/C67Ty9uxP3MuSiXNSHfWxsrlo24ygIUBVw47CpZPJF4uk8umEuBncM0+Tt8wOYpoXf7eDg5uZljyEIUBPy8FBnPSPTMUamY/SOzbGzs65U1jo2y/hcHLumsLW1looVDAwFAZ7Z3cWxyyPkizpvnxvgM49tu+3P/iChyrGHKseeNb0np+vMZa4T+KDDQfUNMrTZQhG7qtBdGyaZy5Mv6igLviDlQBYlar3XCVxO15lNl+9vM5eP8ubsUS4metngbuP32r5Itf3m7EfWyPHH/X/Lyeh1p/VIIcbLU28zmB7lt1o+T6OzFgGB5qCfva0NHOkbRjdNZFFkd3Mdbbfo67sGVZZwquq6KQXmdZ1MoXjXyqTuFX6OCIaHkFqKrCaKCfqS/cT1EhuuslWW+i/WsQXRK3uoUEvGTUk9SV+qn7ReipJX2sIlg717pH6/2bOJy54rzObnFhWzXp95kw2ebro8nUjcPwbeEPKxrbGao32jRFIZDvcM8czWzpu2mY6lODUwjmGa1PjdbKyrXHVSs6yS3Gi2UKSw4HppmqW6RcuyyOs66dz1xfBKj2ksk2V6IRJd7fMsUa1aK4qGQd90Ka3s1BQ6qh9c2UpFkqjwOHGsEnVSJHHxXtZvIZ1nWaWoUqkxXF9sDL1WT2pZMJtILzYC3quhczKaWDBDLPmWRFIZBmdWNq7MFfVFAqKbxpLsVzpXYDZRes3r0Jbt7bkRLruG12FDEsVFQ8l7he/89TtMDM/x//ovv0ZDy/W+LMuyePqTO/n9T/8Xzh4bWCQYAF6fk498ejcf+fTuso8jKzKPPbuVx57duu6fYTm4XTZ+61cfZu/OFt490U/vwDSxeBZJFqgOe9m9rZknD3XjsD8Y5N6yLLLFYaK5Y1Q6P4JShoLPWqApMk8/1MnLx3oYn0vw3398nMPnh/jwni4e6qwn6HXgtGmot2jQB5icTxBP57As6G4I47nDPoSA20FVYOUsgNOuocqlcyrqxk2EdD6eZi6WBgE66kIo8srn7nFo1C1IS88n0kzOl+b+dDbPbCxFrqDTXBXA77bfUhmuq6ECURQxiwaXhqbX8lF/7lA0DFL5wuLvHptGwH59rHv9Qj9+lx27ovCNI+dQJIkvPbaTpjIW5ACyKFDhul7lUTQMErnyG5sH0qPEFnps6xxVSyRnLSzemD3KqWjJ+NIh2XHKDnRTJ6EnGUyP8eLEq/xW6+fRRJXOqhD/5OmDHG1rZDqRIux2sbu5jvpV1C8BdjXV8aUDO1edS8vFu/0jfPvkBSbjK/v3fBDwc0MwHLKDgBZAEzXyZp7eVB+GVVoMVdnWv1zJLtsJ3nC8/tTA4vEqtcolqk93E6qksiewm8H0EP2pASws0kaaV6Zfo9IWJqiu3Dx8tyEIAh/d3sWxvlGyBZ3XLw7w1Ob2xSiVaVmlMpSFqH9zRYBNq3hXZAtF5pIZrk7OcW54gv7pCNOJJIlsnky+SF7XKeomRePWOtKWZZEvlkgKgMum4rLd/oLEsiwMwyK1QGwUSSK4yuLzfsKuymjK+tTI64ZJPJNjdD7G+dEpLo2VfDAi6QzpXEnRq2AYFHXjnkdlUrkC+YUM1oWxaf7gL39Q9ntNy1rSO1E0DTIL94wmK2WVBThtKrIosM7Kg6tiYiSCx+/C7lh6X+eypcWDZX0w64glUWT7pnq2b6pffeP7DIsiycIlZjMvE3I8isL6EgxRFGio9PHPvvgEf/njY/RNzHNlZIaLg1MEvU4ObGrikW2tdDdW4nPbFxf170c8k6O4oHoX9rtuuagvB5oq4yyT5L1/VIimsguEQ1jS/L3ccTwL0srZQpF0rnRvZ/PFRQlvt0NDW8UdPeh1UtJosJhPLF9W+4sC07JumkMVSbpJ1TGZzSOLIlciMzyzrYNTA+Mk1pDhFgQB+w2ZZMM0FxUXy8FEdpqUnkZAoNPdgvN9FgRZPcePJl/HwsIlO/hI9WMcDD3EVHaGr4/9iP7UCAPpUXqTQ2zyloQ86vxe6nau/dlsCPjYWl+9aBJ8p5hLZdZtX/cTPzcEQ0DAr5QM6SZzU4tu2rCQwZDWd8EvIOBTfATVABO5ySXHu5cEA6DV1cIW72amczOL53I6doat/s3sD+5DFe7PzSoAB7tKSk+RdJazw5NMRhPUBX0AZPJFeifnGIvEsSklN9CWipUjIPFMjrcuD/I/j5zl0tg0hmnhsqnYVQVVlvA5bIiigIDAbDJNPLNyRMS0LHTTWJzYJFFEWkPz8HIoGvriAlpc6Dt4UCFL4k31zreLgm7QOzXHt49e4OVzV4lncmiKjMumoikyDpuK264higLpXIH5VGZNE8mdomhc99JQZQmHqizbY7McbIq8JCplmtai34UoCmXtSxGXb0K82whX+zh3fID+KyW1E0WRMAyTVCLLGz85h1402Lyz6Z6f172CZemkClfR5DCqFMK0CuT0SUwrh02uQRbd6GaKgjGLLLpRxCCmlaVgRjHMJKZVBARk0YUmhRGF61rweX0a3UyiydUUjFl0M4mAiCS6sMnViIKKaRXJ61Pk9HGiuSPoZoJU4TJ5YwYAVQphk5b2pd0OFFliV1c9HfUVvHG6b1FdKZrM8IPDF3nlZC97Nzby/KHNbGmpxrFMMKWUdbQW93en5yWJAnKZz9rSc7kuI7vaPgRBWCzNMQ1rMUtqmNbi5xFFYdUSlhsJ1Vrc4n9eceP3b2HdpISnKTLDs1FURSbsdd3m97y0H7NcRIsJckYeh2Sj2h5GkW4ep49FzjKXjyAist23kU/XfRhREKnQAmSNPP+x93+QKCbpSw2zyduxwlHKg9duYz1tjmyydN/ketcTHyiCsdq951f9BNQAk7mpxdckQSJsC+OQ17fREMCneglqQSZy16XKJEGiwhZaN8WqciEKInuDu+lN9XEpcRnDMrCweGnyZ7Q6W6m119wXbwxBEPDYbTy6sYXvHLtIMpvnzcuDfOHgdgBmEymO9o9iAXVBL1sbq1eMmuV1nR+dvsJ/f+MEU7EkfqedjqoQW5uqaQkHCHmcuDQNmyIjCPBnrx3jh6eurHhuoiCgSCWZPdOyKOjGHS98FVle8IWwMCyTzH1SDrpXME2L4dko/+Wld3n7yhCaLNNWFWRTfdWiEpjXYcOhKmiKzNHeEf76ndMMLfS93AtoyvW64MaQn8c2tOAvw2QMSgublsrAkteuGTfqC1mZ1VC8Qbv/XuKJ57YyMxnjr//4VVq7qnG6bOSyBSaG55mbSbD3sW4e/ci9KWu6H9DNDBdm/yG17s/R4P0SBWOW/ui/JVMcptX/Twg5HiOZv8Bo4iuEHI9R7foUicIFplLfJ1McwrBSWJaJJoWodn+GoP0QslCKpk+kvsVc5nVq3Z9hPvs22eIoCBaqFKLe/esE7A+jmwkm098lljtOutCLaeXpi/5fi022lc6P0eD5EuvlICIIAj6XnU88vJmnd3dycXCaw+cHOd07zuhMjFdP9jI+G+PvfHQvD29pXtLAalOVxWclnSvc5P5+r+G2a4tGfalc4Zbb6oZJdiFToSrSogSvpsiLUfdcQUdf5VlNZfMLpEbA7bi/Koz3G4oo4VIVotnSNcsVddKFAkFnaW3TUR1iZC5Gc2WAuqCXSp97Tf2GpmXdVBIliyIOtfz3Z/QMRVOn0hFCE9WbStJ10+Dw3EkMy8Qu2Xim6pHF9Y8qKtQ5qvCpHtJ6htn8nYtveB3auvVfQOm+Ve4w2Pkg4ANFMFaDX/UR1ALve82PT/Gui8He++FVfATVmxV1fIpv3Qz91opKWyW7Ag8xkZ1YlK2dyE3y1tw7fLLmY9iltTsxrgdkSeRDWzr4wcnLpAsFDvcM86k9m5ElkYloknMjk4iCQEtFgM31K5dHDc/GeOnsVaZiSWyKzCd3beSLB7dTsYwpUq5QRJVufXsLgoBDVXDbNeKZHLFMlng6e8um59X2J4siQbeTmXiKfNFgMpZc1kzu5wWZQoEjvSO8c2UISRTorg3ze0/vZXdr/bLNflcmZtd1IC4HPod9MQvhc9r48PZO2qtCt70/VZFxL5R9ZApFkrlblwUYpkkyl78r/RfJTJ6ZWIpsvohdlakKeijqBqlsnpDXxY597cRyBU681UM6muVq/xSJbIFQpYcnP7+bTz6/G1ERuTo6i11TSoo9qkx1wEMslUVVSopEyUyOZCaP12mnaBjMxlLkizpOm0ZVoPS8TEWS5BfMthRZpLkqiCJLzMZSzMZTYIHPZae2Yn3Lg24FQZBwKi1kigMl/xgzQ6Y4iijYyRQHsaxHKZpxTIpocg2CIGJaOVQpiFfbjiaFKRhzTKS+xXjib3HITbi17sX954xxRhN/Tdj5YWrcnyavzzKW/CsGYv8Bj7YVWXRT5XwOr7aTyeTXyemTNPv/EFUqjQmq6L9rY7JDU9nVVc+O9lpGZqJ8/52L/PjoZa6MzPLm6X66GysXv7trCLjti4vz0Zk4uYJ+V31NboWg14FDU0hn84zPxjFNE3GFKHkmV2QuVhJycNk1fO5SAMFpV/E4bUiiQDSZIZUr3PLzjM3EMa2SWEDtQk/HLypUWcKlaUQXDN8SuTzz6QwNCz4YG+or2XCDZPun9m1e0/51w2Qycb3yQ5GkxbKgopnDsIpo4soiNaUgaolAvH+9NZWbpTc1hIVFg6OGDnfTTX9XBJmA6iVWiJPS77wUzme3reszosnyLzMYDxrcspuAGkASpBv6IcJ3rVzJI7sJau873kKD9/3CTv92LsYvkogmKVql6Pk7s4fZ6tnMBm/3PWs8vxGiUJJrbQkHuDo5x8BMhP7peeqCXnomZoiksviddrrrwrfU0e6ZmGFmQTavJRzguZ3dVHhcy8r1mZbFdBkNUgGXg1q/p9Q/MBdjeC5GR03FbS+CFVmku6aCmXiKVC7P2eFJHu5aXvb25wGpXIEzQxNYgNumcaCzkX3tjStKKMYz2cX+hXJx88BtrXmh3hDyEnQ76JueZ2QuRiSVwTDN2/5O3DZt0aMlkc0zFU9S0I0Vy+Gi6SzRdHaxVGO9UNQNzvZPcK5/sqSUVijy2PY2FFnizbP9fHTfBhor/VyJx9j+7CZ2dzfwnbfOkc3rmKbJrGlhCBbJVJb//pNjbGquIlfQCbjtuDarHL8ygiCIfHRfN5eGZ+gbm2XvhkYGJiNcGppGkgQsEx7Z1orDpvDVV07jdWnIksTYTIzf/cQBKrwOfnjkUsk5eaHh/8sf2b2s7OndgICEU2kjXjiNhUHRiGBZRTy2hxYIRoGiEUFAwiaVzPiC9kME7YduvtZmlPHk1ymaMSysxXHUNAuE3U/R4PkykmjDtIoYVoah2B+TLvbisz2EQ2lGFOzIog9JjONUWrHJ9874T5JEmquDPH9oM/OJND9+7wpT0SQz0eQSghH2u6kMuFFkkYGJOUamo1QF3Hfci3E7cNk1uhvDzMXTDE9HmZxPLktOLavUL3F1dBaASr+LhrAPKEWCG8I+Ah4Hc/EMozMxsvnisuVhlmVxvGcUY0HJakf78p5NvyiwKzJhl5PRWByAiUSCgfko22qrV5DNLX/OtICsrnNm/Hq1iSbLi9mRVHGGmVwPXrUGl1yJXfYhvU9aVxZkREHEXKjWuBFH5k+RNwuICBwMPbSkekMQRFRRwcS6pXBJuSiVSK3f2sqm/HwQjJ+rVY8iKgSUwE2EotJWedcW/LIo41f8N+0/rFXgUe4fwXDJLg6GDhDSrmdWMkaGn0z9lEQxeVdkI1eDIAjYVIWnt7QDkMzlOdI7QjSV5eRgSVq3LuBlR3PNLbW90/kiRb20uAx5nGiyvOz2lmUxFklweXxm1XOr8Xvoqq1AAMYicY71jzIdT932dbLJMvs6GhEEgVSuwHu9I/ROzd+X634vUIrOl8oXbKpC0O24BbnI0Ts5RzSdXdMxVEVaHLx1wySWWdv764M+WsIB7KrMdDzF0b5R4pncbX8nHrtGcziATZHJF3X6puYZmVu55Ov04ASRVPnyi+Uins5xrn8CWRLZ092AIAgMTkWpCZWyGFORJNPRJBPzCbobK5mNpThycZhtbTXs7KxjaCrC6EwMKGUZ2+sq+DvP7uH5Q1sI+VzUVviYT6SJJDNEkxncC0pYI9NRdnfV8/ufOEhlwE3f+BzJTJ5svsBTD3Xyex/fj8OmMjWfYHg6ypGLQ2xvr2VHRx1DU1FGZ+Lrfi1WgiBIONU28vo0RWOejD6IJlfjUrvJGZML/6ZRRB+aXIrGGmaOTHGIaO4oc5nXmEm/RFYfRzdTWFZxSTdywH4IUShlyAREHHIDFiZF496VARqmyUwsdUvyLcvSojqatELvkCyJ7OqqJ+B2kMkV+d47F+gfn1/sOboRllXqdUivUr50J/jI3m5sqkw6m+c7b50ntUwTcSZX5EzfBOcHpnDaVDoawtQvEAyAjc1VtNeFMC2Lw+eH6B2bQ19GAGRwKsJrp/ooGgb1YR/bfsEJhs9up6PieqZ3JpnmwtQ0kTWOv8vBNE1GojHOjF8vL/fYNNpDpXWLJKoUzCxjmTNMZM4yk71CvDCBbl7//p2yA0VQiBWTFIzC4nieKKY4ET1P0dRxyU52BjYtOb6FRdHUS4ajt1k6vrOxhse7Wni8q4Vav3fdS6TWYib7oOIDk8GQBZl6Rx0HQyXnyipbFTZxqbZ8o7OBQ6GDRIulwX2zd+OyClIVWog9wd1kjdLD8v4shyRI1DlqF48X1sJIlsLVyTmmYkk21IUJuZ00OOo5VHGQyEJJ0mbvpmUJTYUWYk9gFxmjtNBYScZWE21s8m7Ep5YiNTbRRoNjbSop3Z4uDlU8zER2EouFZlRECub6TgT90/MokkSVz71qM7MqSTzc1cxX3jxFOl/g5MA43bUVXBybRpEkWioDdK4i6eqxa4v1tBORBJFUhtqA56aJ0rIsBmej/NXbJ4mUsZCt9LnY1VrPu1dHmIolefPSAAGXnWe2dlIX8C7xSyjoOpFUllgmR0s4sORzq4rMgY5G2iqD9E7N0T8zz1++cZxfObCd1srgEpUq3TCIZ/JE01mCLkfZvQEPCmRJxLdgaJXJFxibjy/qo1+DZVnEMlleOd/H8YGxRUWnciAIAposE/a4mIonSeUKHO0b47kd5Svc2FWFR7qbOTcyxaXxGV48eZmgy8Ej3S1U+dw3DeSlMhqT+WSGmUQKWRTZUHezc7umlPpMumoqODM8yYXRKV4+34vXYSfkvu5EbJgmw3Mxfnq2Z1HWdj1R1A0y+SKJdBJNkQh4HNSGPNhUhe3tdfSNz3F1dJaNTVV4nRqxZIZMrsDl4WlkSeKhzvpFwzFVlqi5wVRMFARqQ16mIgneOT+IIku014UwLAtRFBavvabK5AtFDMMk5HViX3CIdmhKqS4+X1L0uTw0jSSJ7Oysw3kL5+f1xrUMhoVOuniVTHEYl9qNXa7FsnSShYvoZgxNrkQWnehmmljuKHOZNyiacYSF0otccQzTWn48UcUgN8bqBCRKS5h71ySczRf52iunaKkJURVw43fZcdhKYgZFwySeznLq6jhn+iZQJJG6Ch8V/uUz+wc2NXOiZ5Q3Tvfz5pkBZEnise2t1IQ8ODQV0yxly5LZPLOxNA6bwpM776xJdiXs39zEvk1NvH6qj+8fvoDfbWdbey1+lx1BgEQmz/mBSb73zgVS2Tw7Oup4eEvLTWaCrTVBDm5uYXAyyqmrY3z7zXPE0x00hH2l+7eoMzWf5PuHLzIwMY9DU/ncE9vx3KIHw7JKzeO6YZAv6lhWiXcWijq5fBFZlpBE4QNt8Oi12eisDKFIpXuoYBgcGx7jndphPtTZhk25vefYsizm0hm+eeYC8zf6bDgddIVLawCPUsUm/3Oki/MMp9+jN/kGTjlASGulwtaJQ/ZRZavAKduJFuIMpseodVQjAIfnTjCencbCYrt/IyF1qaO9buokiikkQcQm3p4Azu8+umcxK+1QlfXNYNxhiVQ6X6Bneo6OyhD9M/O4bRpum0YknSHocjAwGyVXLM3TzSE/oiAwn8pQ4Xbhc9gYjcQoGiY1Pg+2O/AF+8AQDFVS2e7fynb/rRsSm5yNNDkbV91fq6uFVlfLyscTFbb6trDVt2XxtWQ2z9uXz/H6xX7+wbMHCbmdNDobaHQ2rHq8FlczLa7ljYJuhFtx8eHqD6263a2giAofqX7mjvZRDo5cHcFj13h0Q8uqBEMUBWr8HnY01/Lm5QH6pud558oQc8kM1T432xprcNluXTbRXhWi0utmZD7G4GyU7x6/SCRdeigkSSSbLzIZS/D2lSFev9hPV00FVyZmb7lPRZLY2VzLh7Z08L0TF5mKp/j6kXMMTEfZ1lRNxUKmxLQssoUi86kMI3Mx0vkC/8vHHkV9n3iAKAhU+dz86sPb+aOXjzAdT/HqhX6m42n2dTRQ5/eWjOYEgXxRJ5bOMh4tkaWP7dzA3val91JRN26SeS0aBrmCTm6h1MgwLaZiSYZmoyiShCqLC/+XsSnSinXL6wGnprK1oZqfne8lmcvzTs8QNX4P7VUh7KqMbppEkhnOj03z2oV+CrqBz2kntoYshiJJHOxq4ltHzxPP5PjGe2cxLZMavwdFkkqTvK5jVxTaqkLLSgPvbKnjw9s6iaazTEYT/Pnrx+mZnGVjXRV+px1VFjHM0nccTWcZnosxNBulszq0hGBASU75ic1tDM1FmUtmePHkZXIFna0N1bjsGoZpMptIc7hniHMjU/gcNiLp7LqqZ/lcdjY0hokms9RV+LCAhko/dk1he1sNJ3tGGZmJ8Xc/uhe7plIf9rG1rYbGqgCqLCIKIjUhL5FEmlJb680TZMjrJOxz89qpXra319JcHaBQNPC57PSMzpDM5pmYi7OpuQrXgl/C++fY+rCPbW21NFb7USSxZMAXunc9GAgCqlyBLHpJF/vJGeOE7I8ji15k0UsifxHDyuGSuwCBdLGXseTfAgI1rhdwqp3Iopvp9I8Yjf+PFQ6hlLmQvHuLzXxB57tvX0DXTeorfdQEPfhcdmRJpFA0mIom6BufJ5nJs6G5igObmwmt4MId9rv47GPb0HWTIxeHefl4Dyd7RmmuDuB12TEMk2Q2z3w8zWwszSPbWu8awXBoKn/32T1kc0WOXxnlv37/XTa1VFMT9CCIAjPRFD0jM6XP1VjJJx/exKbmm/v4VEXm8R1txFM5fnD4Ii8d6+HKyAyttUFcdo1MrkDP6Cwj01E8Thsf2dPNh/d0LTkXwzSZmk9y8upYSRCkqJMv6lwYmFogXTonesbQDRNNlVEXGnU3t1TTUOlbd0foZDLLUP8sU5MxDMMkEHRRWx9gfCTC3FwSURTw+Z10dFXj8zsW54HJ8Sh9V6dIJnOoqkRDY4iO7pol+7crMp0VIdpCQS5Pl+bR/vkI3z57AY9NY1d93ZqlVC3LYjqV5jtnL/CTy1cXX3eqKhurwtQslEhn9Tjz+QEyRhQBibCtAwGR8cw5REHBIe+gzdVAQPUxX4jxysxh0kYG0zJ5beY9ckYeu2TjifD+JeOaaZmk9DTRYhxVVHArt2dhsJaG9LXCZdM41NFEhbt0bmvtC41msrx49jJf2LONb528QFs4SEdliMtTMzze1crwfJRkLs9kIsme5no6K0O8eXWQHQ01bG+o4fWeAUIuJxVu5y8GwfgllmIymmRgZp5MvoimyGysq0QSBXqn5sguLECDbgebG6pQZZm3Lw8ScDmYS6YxLYuDXU2YpkXv1ByT0SSKJNJQ4aclHGA2kebKxAyZfBGHqtBeHaLK52YikqBveh7dMBiPxHFWl98s61AVntzcxltXBplPpvnZ+T6g5K68s2X1dHRThZ/HN7YwHo0zEU3w3eMXOT08QZW3FIVOZfMMzkYp6gYf2trBrtY6/vn/fGnV/Vb7PHxi1wYM0+TVi31MxZK8dO4qr1/qx2MvKSCZlkkyWyCZy2NaFs0V/mXT7AA2ReGJTW3EMzlePHWZ/ul5TgyMcXpoHLdNw2XTEISSRG8im6doGIQ9Th7dsDzhPT00wamhksZ4fmFSyxZ0JmIlM6lcsciPz/RwdmQSTS55W2iyRF3Ay8PdzYv9AncDDk1lT3s9e9rqOdo7Su/kHH/08hGaK/y4bBoFw2AqmmQumaa1Ksjzuzfy1uVBjvSOlH0MTZH42M5uzo9M0jM5x8WxaUbmYlT7PdhkmYJhkMkXaA4H+M3Hdi1LMOyqwkd3dGFaFi+evMzgbITvHLvIj0734HfY0JQSGUrlCiQyOSxKdbAdK9zfXoeNxza0MB5J8NLZq4zOx/mbd07zsqcXn9OGbphMxVOYpskjG1rw2DR+evYq8+tYKmXXFHZ21nN+YJLpaKnfqLHSDxZ4XXZ2dtTRUOmnrsKLLIl4XXae27+R8wOTWBaLpmt2TWVPdwOu9/kVyJKIqkg47SphvwubqmBTFXZ21HFhcIrpSJKOuhAbmyoBge3ttXgWHMt3dNRRHXTjdzv42IENnBuYBEu4SUf/XkBAQETFLjeRLvRT0GdxKe1IogtNCpEqXEGV/Njk0viT08fJ6ZNUu16gwvE0giBhWkWKRhTDuv3vTkBEFBQsy8C01r+kSFNlntjRTs/oDHOxNKPTMfK6jmVayLKE01b6DvdvauKJHe3s6qq/ZeBhS2tNqX+h0s/Z/gnGZ+NcHJomX9CRpFLJq8uusam5ii2td7efpK0uxB88f4DvvXOB8wOT9I7NcqZ3HNMCp02hMuBm/+Zmntjexp4NDcuWllT4XHzy0CZ8LhvvXBhkcCLCW2cHSr1TkoTfY2dXVz27uxv5xMFN2NSl/kCGYXJpeIp/+9XXKBSX+vnkizrvnB/knfODQCn7qsoSf/iph6kKuteVYCQTWY6+28v5M6PIioQsi8SiaQRB4CcvnkYQBMJVXjKZcQb6pnn6I1sIhtyMj0V48dsnyeeLaDZl0XRwOYIhCCV36yfaW+mfi1AwSp/5xOgERcNkfGOC3Q111Pu82MvIZsSzOS7PzPJKTz/fu3CJTPF6L16t18MzXR2LUfuMEWUm14td8lBp78an1iIJCr2J1xEXsooNjlo2ejuYzM3QlxpmMD222AsrILAvuJ02V9OS88ibRUYykxTMIi7VSYUWXLLN/YZLU/nsri2rb7gCFEnC77AzEU8sGBjmSRcK+B12VEmi2uum2utmJBJjIpbgsc4WPHYbc+kMM8k0yVyenY21d+zF8UuC8QHGyYExLo3PUOP3lBY1pkE0nef7Jy7RUV2BTZE5fHWYkNtJfcjH909cYmtjNT6nreR6bVpMRhO8cq6PuqCXRDbHwEyEkMtRuikzedL5AudHpkjm8jy2sZUjvSNMxhLU+j3MJzMUKsqPyKqyxNaGamr9HsYicSZjSZyaQldNmIbg6lFNRZb48PYuJFHijcsD9E/PMTYfZ2gmiipLeOwaLeEAe9vr+cRDG0uSjY6lZXTvhyBAW2WIX314B62VAY73jzEwE2EmkSKRzTGfyiAKAnZVocbvocrnYmdz3U1p+Pfvz2O38em9W6gP+nj36hA9C6V18UyORC4PVmkBG3DZCXtcbKgLU7/gDfJ+HOsf5W/fObOiWlHRMDk9NMHpBbPCa+iuDdNaFbyrBEMUBBqCPn7riT1UetycH51kMpbk7MgkoiDi1BTCXhdPbWnn6S3tbG2oZnQ+tth7Uw4kUWRjXSW/89Refny6h57JWeaSafom50olVIqM267hsWs3GTe9HyG3k8/s3Ux90MvhnmF6p+aYiJRcvvO6jiiIOFSFuqCXap+H1soAD3c2rbi/hpCfLxzYRtDl4GjfKMNzUWbiKabjKVw2lYagl12tdXx0RzfjkXiJWKfWcnVXR6XfTeXO5aNbj25vW/JaV0OYrobwTa+5HRof2t1502upbJ6ro7NcGJyiKuCmufr6JNxQ6aehcmnZwWM3HO/Gn7saKulqWJoFulcQBBmH0sB89m1EQcOuNGJaBVQpzGzmZyjijkWCIQtOZMFJTh8lVehBFFRSxSskC+cxrfJNxN4PUbShyTVEsoeJZA8v7MtEFn3Y5Fsbi5YDh6byOx/fx9XRWaYiSeLpHLlCEcssCU+4nTZqQx7a6yqoDLjLKufobAjTWOmnZ2yWockI84kM2XwRWRJx2FS8ThtNVX6aqt6n3Oh28PSuDroawrTVhbBrKy8+O+pCfOrRLSTSedprQ8v2hQiCQEd9Bb//iQOcG5hkYHKOvug4c7kYe6s2UR/20VFfQXXw1uNciWRsZmtbDVdHZ5mNp8gVDDRFosLnor0uRHtdxYq176Io0lDp53OPb1/12t30Gesr1pVcWJZF39Upjr/Xz4ZNdRx6fAMOp0omUyAey6DZFB59ciM7djXTc2mCr37lHapr/Ow72MGPvnea+fkUn/3iPppbw+RzRXK5lUU3fHY7j7Q2cWpsgiNDI1iAbpqcHJtgNBbnyNAom6rC1Pu8VLicOFUVTZYQBRHdNMjrBtFsltlUmr65CKfHJjgzPnlTG5PXZuOpzla21FwfIxyynzb3w7iU8GIGwrIsqu2bkBb6nTRJ5dGKPWT0LMcjZxddvZ2yg82eDp6reQJVXEoUM3qWC/FS9sQtO2l21q3Dt/JgwabIVHpcnB+boj7gw7RMRiMxWiuCnB6dYGA2QnMoQCKXRzdMBEFgW30158YmefPqIE1BP5WelRW8ysUDSzAM0+Sty4OkcwV2ttTyXu8Ic8kMdlWmORxgW2PNYv0wlFSDpmJJzg1PMhFNYFlQ7XezvamWSp/rpgHVNE0ujc9waWyGaDqLTZZprQqyp61+sbbYNC3mkmne6x1hJp7Cpio0BL2LBj4PAvxOO5VeFw5VodbvwWXTSGbzCMC+jgbaKoNc/vYMI/MxagKlwbch5OORhUh5vqjTOzXPxbFpmisDWBZMxBLMJtPYFBnbgob4lfEZJqIJoqksM/EUWxqqebiriYloYjECUg4EQaDS6+L3ntrLWKTU6OnQVLY31ZQ9AAddDj65eyOb6ivpn55nPpWhaJhosoTHbqOxwsfm+ipUWSJX1Pm9p/eRKxTZsoo7uCCUMimf3LWRPW0NDM5EmFpQgioaxiLB8DvtVPs9tIaDt9T8FoSSM/jjG1vZ3lxD3+QcE9HSYragG4sRcq9Do9LrpqnCT9izfKp2d2s9NkWhoK/cu2ChgzEHgogghgCLkMezhFx47BpPbmqjIejDriq0Vq4evfnkro3s7ygpQ9UuQ1Y0RWZbYzU1fg+XxqaZiCbI5IuIooBLU6n0uemsrqDK50ISRZ7c1E7Y46I24C2LAF47xmMbWkv39MQss4kUuYKOIJQyRh6HRkPQR23g1kTVZdN4anOJ6AzMRBiLxElm8+SKOpIo4NBU/E47tX4PjRV+/M6Ve2JEQaA5HOALB7exp62egZkIsXQOCwu3TaMx5KO7NozXYcNt0/jVh3cQS2fZWFf5gWjgM0yTsN9FR30FXmd539ODiFJJRTPjxa8SdDyKLLowrQI2uXqhz0JFk0qLG6faQcB+kFj+BEPxP0ESS9kwh9xKVhq77XOQBQc+bQfx3Emm0y8Syx1FFDSCjsewyR++888oClT4XFT41lcx0aYpbG2tYWvr0gj3Sgh5nXz84NLG2uWwoamKDU2rEyxBEHA5NPZvamJndw1nYyo9yUG+2LSz7POCUpCqsyFM5/tIdjmQJZHO+jCd9Wt/73qiUDAY6JtBVmQOPNKFP1CaNzRNoZC/PkeoqsymrQ20dVZx5dI4LW2VHDvSx+/+4VO0tFUiSSKyS8LpWvnZFgWBjnCIz+/YQiyb5dL09ZLjmVSan/X08Xb/ECGng7DbhUtT0WQZSRAoGiZ5XSeSyTKTSjGfzixxa7crCk92tPCprZvQ5OvLUdMymMldpS/5BoalI4s26hzbqbDdHDSpd1Tz0ZrHaXHWM5WbxcQkqPrZ6uum1l65ZIFsWRYmBjZJZbtvA83Oehoc5d/bHxTYlVLf4lu9g/z6vh1cnpxlYDbCoY5mTg6Pk8qXsqhOTV2UpW4K+Tk3NkXvzBzPbenCZ7/zftAHlmCYpsXrFwc4MzTB/tEGpuMpJFEkmc3x2vl+Pr5rI8/t7EYUBSwLBqcjfPf4Bfqm5rGrCpZlcbhnmItj03xm7xYaQr6SaY8Fb10e4nvHL6KbJjZFJlcs8uqFfiajCT61t6TlHE1n+Ms3TnByYJywx4lDU7k4OsV8cv3VYG4X25pr8DpsDM/FeP3iAJoio8oSpgUsNJ1dMw26hqr31/IJpe1kUaTa76ajOoQiSZwfmaJ/ep6umjBFw0A3zJKT5+J/C29eI5w2lY89tOH2PzSlhfnmhio2r0Ia7KrCrxzYtqZ9y5JEQ8hHQ8h3+yd4A0RRIOhyEFymt6Jc7G6rZ3fbyo3+lpXDyh/G0scQxBCC1oxVvIJoW5pi9dhtPLm5nSc3t5d9/Od3r75YkESRap+7rFrR1T7PSpAlkeZwgObwyk7v5SLsdRH2rs9izGO3saO5lh3NK5f5Vfnca74X7ydcdo1dXbd/zz5IEFDw2nbS5Pt9XGqptl4QFDzaVlp8f4hTbVskEppUTbXr+QXlqVlEQcKhtGCT6/Fom3EoTYv79dv2IQlOZNF109HsShPNvt/HqVzvSxAEGZfaSZPvt0nmL2FYmVI2Rf75i57eCmOZKSZyMySKKRySnayRo8YeJqj6GM5M0OVuwa04OTZ/lnpHNZW2EDO5COfiVwABRZTZE9iChcl8IcrrM++hWwa19kq6Pa33RYb9XiOXK5BMZPF47ASCtx7DBAFqav2cPTXMzHScYtGgoaliTYFBu6Kwt6menK7z1ZNnOT85jX6DWllO1xmLJxiLJ9b0OdyaxrMbOvjCzq3Uem8OXMUKo0xmz2NZJjkzhSo6cCuVSwgGQK29khpbmPyCiI0qqrfM0LllJx+ufhQBcMnOe26KfC+gSBJdVRV8aGMH3dVh3DaNer+Xer8Xyyr1j9gUmYNtTTSH/AiUhHgEASo9TkIux7oEwR5YggELDUGxJJF0ls/t30rA5WB4LsrX3z3Ly+eusr+zkQqPk3gmx2sX+7k0NsOTm9vZ1lSNZcE7VwZ59UIftf6SDr7LpjE6H+Nrh8/gddh4fucmavxuUrkCXzt8lq+8eZIdLbXUB70c6x/jlfN9PL2lg2e2dSAKJbnJb7x3Do/9/kfzLMvi0tg0VyfmMCyL1EKqS5UlCrrOG5cGONo3goVFY8i3mHq+kdErkkRHVYjN9ZXEM9mSnKyi4LFr5Io6c8kMsUwOWZRwaMpixuTM4AQzsRST0QSV67RIu5+wLItcXicSSxOJpYnGMiRSOdKZPJlsgUKhZB5mLqQSJUlElARURcauKdjtCi6nDb/Xgc/rIOhz4nHbbym5u74fIIOVfx1B2YRV7EFQtmAVT4Lt8Xt0Au87HcsiX9CZj6SYi6ZJJLMkUzmSqRy5vF5qVNcNDN0EoRRVlGUJRZZQZBFVlfG4bHg8drxuOz6PHY/bjsN+501116QMHzR1F8sqlSxGYmlm55PEE1kSqRypVJ50Nr9wzUwM3cCySt4GiiItXLvSNXM6NLxuG1536bp5PHZcDg3pA5AtuZsQBBGH0kCD90vXX0PAoTTS4P3y+7YVsCv12JWlBNih3Ey4fLYd+Gw7lhzLrtRRr/z6kvdLoh2PtgWPdvu11bcLy7LIZAtMzyaYi6SIxjPEElmy2QKFYul5tEwLSRKQJAmbJuN02nA7NQI+J+GQm4qgG5u2tORkLZjKzTGcHidr5LGwUAWFtJEh76jhXOwKdfYq3IqTM7EraJJKhRbgxYnXaHbV4ZTsyKKMgIBuGSSLaeySnZn8PKejl2hw1OC6w8ViLldkcibObCRFLJ4hnsiSziw8f0Wj5J8jiSiyhKrKuBwanoUx6to1stvUuzr2S6Kw8EyXJ7NtGCaCKKAoEgLWbVEwr83GE+2tBBwOfnjxCu8MDjObuj1lPFEQ6KgI8eyGDp7p7qBxwbjvRuhmHqccJGRrI6vHEQQR4RauCoIgYJNW99YpbWejzbW6ENAHGYIgUO1187GtJVPQ7uow3dWlzFtbOEhb+ObKhYlYgtMjEwzORdnf2rDoR3KnWBPBMA2TmfEIsxMx2rfUY1tBxi2TypHLFHB7HSja7XMYi1LU8mM7u9mzEAGu8DjpnZzjjUsDTMWSVHicjEfinBocpzkc4NntXYvpfLuqcGpwgrPDExzoasRl0zjeP8rQbJT/9ZOPsa+jYbGpKFso8tqFPo72jlDh6ebdnmE0Weaz+7csRrPddhsXRqcXy3vuFG8f7eXoqcGytg34nOzf1UpX2/Wovc9hXyx92lRXSVPYz0w8hddRIgIum8am+ioqfaWa2xf2bLqpDEcUBar9Hp7Z1slkNAGCQMBpx2lT2dlSi89hQ1VkKr0uqv1u7KrCvo5GhmYiGKZFTaBUgnMtxXYN750c4OjpQYrF1fszXE4be3Y0s33T2iPatwvLskhnC4xORBkdjzAxFWN6LkEsvrAQTufIZovk8kVyhSK6bmIYJqZZcngVRRFRFJAlCU0tTTR2W4lklCYcG+GQm9oqH80NFTQ1BHHdQvLwzj+QCVYOQd2HVey59uLdO94yKBR0xqdi9A/PMjoRZXYuSSSWJpHKkckUyOYKZHJFCgUdwzAxTHNBW19AlkSkhX+yJCIrpRpvp0PD4VBx2VWcThtBv5Paah+1VT5qKn0E/U7kNRqAHX/jCs1d1VRU+wB4+yfn2HGwA6f7/gQNZueT9A7OMDQ6z/RsgkgsTSyRJZPJk8kWyeYK5PIL12zhulmWhSQuXC9ZRBJL/7fZFJx2DYddxelQcTg0/B4H1ZVeaqtK162q0oOq3Nki8U5QKOocOTHA8TND9+R4kiSyc0sDh/beHZWj9cLl3kkOH+8nFl85Q+6wq3zuE7sI+MpTvbEsi3gyS0/fNH1DM6Xncj5JIpkjlc6RzhTIF3R0fSFDbZXmBEkUUJTSmGa3KbhdNrweO36vk8a6AO3NYbrbq3DdZtmcT/UQFlWSxRQhLcBkboaCcXPj+7UceVrP0psa5otNH8e+sIDMGwVEREKan92BzQykx3hn9gRpPXNbBGN2PklP/zSDI3NMTMWYjaQWiUU6kyeXLwWYSnNAyU1cXnj2bJqCw6Hhcqj4PA6Cfhe1VV7amsO0t4Txex3rruJns6l4vHamp+NE51MEK1bOGpumxfDgHMGgm6pqH6qqMDI8RyDkQpLWNga4NJW9jXXUeT3sbarnxMg45yanGI3Gb2rYXgk+u422UJB9TQ1sr61mS00VnhWUI2VRQxVdYAlEC8MUzAyVtu41ne8vUT40WabC7SToctBVVbFEnv92UfZeLMsiFknxzo/P0bKhBsuCdDKHzV6q+xNEgVQ8gyxLZNN5IjNxaAzhcNlQNOW2o2iKLLGpvuqm370OO7phLjoCz6cyjM/HmY6l+Lc/eGORoeeKBgMzERqCXrL50rb9U/Okcnm+8d55Xjp7XSYtmStgmCaj83F0w2RkLobPaaM2cD1157Zp1AW960YwRFHgBy+dLWsp6HHbUBSJjpYwoigiCALt1SHa36dyMxNPoSkyWxuraay4uRFzX8dS1q7KEp01FXTW3OxBUR/0Ldt0XONfWtd/I0zT5MevXuDtY73o+ur9Ki2NIXZvb1p1uzuFaVokklmu9E3RMzDN8Ng8M7OlRXA0niGTLWCW4bRsWSws9qBYNMjmlt9OU2X8PgcVATc1VV662qrYsbmBhrrg+tffCwpI1ZjZr2Hpl7FyryLI5ZdA3S50w2RyOs7p8yP0DEwzMRVjZoFYlHs9wVrMaNyIeZZGx2yagt/rKGWKfA4qAi6aG0J0t1fRVBfC4Vg9w9F7cZxgpZeKah+WaXH8zSt072i8pwQjlshy9tIol3omGBmPMjUbZy6SIpnKL2tothx0w0Q3TPKrCBLJsojXbb/hujlpqPWzob2aztYqvJ5767tiGCYXr07y/ZfO3pPjKYqE3aYsSzBmZhK8e7QPt8tGKOTm+IlBEsksPq+D7Vsb6O6qwXaDZ0c+r3P23AjnLowRi2VwOFQ2bqhlz64WNE3GNC3+5L+9xp49reza2Uw6k+eNN68wOhrh6ac20dJcweRUjCPv9VFT7WfvntbFfY9NRnnl7cuMT8ZW/CyqIvHkoW78XsctCaJhmEzPJTl2epBzl8ZKY91ckkQqt+ozaRgWhgGFokE6c3NTuyCA1+OgMuSmoTbAlg117NneRHWl75b7fD9kQUIRZBRRQRakEmEWJApmEQsT0zKJFOKYVslR27QMzAV1oGvEQxIkXLIDURAREZAEEdMqvz+yWNS53DfF6fOj9A5MMzYZYzaSJJnKsZr/5jWyny9AOlNgPnp9rBJFAbezFGCqqfLR1VbF7u1NNNUFUdX1WbRJskhDUwUXz4/x1huXefSJjbhcGvl8kXz++kI/k85z8tgAQ/2zPP+53QRCLnbta+VH3z+N22unpSWMrpvkC0W83vKImSJJNAf91Pk87KqvZTQWZyaZYiyeYC6dIZUvkC0UKZqlvkiHouDUVOq8Hqo9bio9blqDgRWJxTUE1EZccgWSoFAw0xTMDGHb3Z/TflERdDkIuta/VGwNBAOyqTwzYxEeerSbQq7I5VNDbNjZTP/FMVRNJh5JU99WWSIjcynSiRwVtX4aO25fJUMUBNz26zejsPBaqb+gNBIUDQPdNPE67XhvaBr1AE9ubqM+6MO30KyZKehIkojHri1KKgJ4HDY+f2AbW5tK5Cmv6zhU5SZVC0kUVvV7WAs2d9VSW+1j7BaTyjUkU3n6BmeYmUtSFV65kbXS6+ajO7oIuW9P2/lOMTIepXdwpixyIcsi9TUBOlvvjsKMZVkUCjqXe6c4c3GUqwPTTM4kmJ0vTSTlLYBvD/mCztRMgqmZBJd6Jzl1foR3jvWxpbuOQ3vbaWkMrV9kS3Ai2p7D0s8hCF6QOxGUzeuz72Wg6waXe6c4emqAi1cnGZuMMh9Nl5WxuhPk8qXyhckFJ2hFlvD7HISDpcm8vSXM1g11tDRWoL1vMp+bjnPizR5OH+5lpH8Gr9+JoRvoReOelRCNTEQ4cXqI0xdHGR6bZ2omQfYWCi7rAV03mY+mb1oEed12whVuqio8tDZWsLGrli1dtWURtJ8nJFM5jh0fZH4+RV2dH1kqlZudOz/K5csTfObTu9m5vQlRFNB1g5d+dp5XX7+E223D73MyPZPg3PlRJiaiPP+Jh5AkgYuXxlEUmV07m8lkCrz2xmUmJ+M0NARpaa5gdjbJseODPHJo7de6UDSYnk3QXB9CWUbu17Is0pkCbx/t5Y13r9I/PMtcJFU2aV0NlgWxeIZYPEPv4AznLo/z3skBDuxq5dC+Drzu2yerPtWDQ7bz8vS7+GQXhmUgIGATNfaHdvDtsZexSRo2UeOx8O6Fd609C1csGlzuneTtY31cuDLO6HiURCq3uJa4U5hmKWsUT2bpG5rl3KUx3js5wJYNdTx+oJPG+mDZBqErQRAE2jqr2D3Xxomj/Vw6P4YsS7S0hWnvrCaXLfKdrx/lzVcvIQjwyBPdbNhUh6JIfPQTO/nuN47xjb95F1EUsdtV9h1sZ+/BtWX4FEmizuelzufFME1ShQLpfKHk1bQgZyuJJT8mTZLw2m3Y5PIzp3bZhx0flmXR4NyFhYEifjB6JSzLWvTNyukG61FN4LHZ1nXtea9QNsEQBHB57XgCTsJ1frKpPLOTUQqFOsYHZ3H7HTR31hCs8jI/FWNiaBZVU6hvXdrJv1YsJ113I2yKjF1V6K4N8+uP7FzS4KPI0qKDstehISLw7I4u2qpCS4You1pyoHVpKslcAd0wFyPORcMknV+/BYHTofHwnna+9r3jq25rWRZDY/NcHZi+JcFw2zW6a++fysXRUwPEE+U1wnvddrZtrMO5zuVDlmURjWV479QAJ84OM3QtgpfMrhqduhswDJPZ+RRzkRS9g7OcuzzGYwc6eWRfB74VzK7WAkGQseQ2BKkGyAMaAuuvdmZZFkOj8/z41QucvjDC5HScRGqFFM49QFE3mJlLMjOX5ErfFCfPDZNI5qivCSwhGA6XjY7NdfReGKOlu4ZwrR8sC1/QhesuR/HnIinePHKVd4/3Mzg6x3w0fVfJ7Wq4tgDqHZjhzMUxLvZM0t4c/oUjGADFgk4ymaW5sYODB9pRFYlzF8b4/ounOX9hjM6OKjxuO5cuT/CzVy/S3BTiqSc2EQq5yGaL/OjHZ/nhj8+yobuGDd21tLSEGRqZK/V15YpMTZXIxdBw6bVUqlRyU1Xlu63zHRmPsHNL4xKCYZgmw6MRvva9Y5y/PM7kdHyJT8N6wjQtpmdLwZqB4TkuXZ3k489su6mEdzm0uRooWjoSIrploIoKNfYwftXDE5X7SBbTSILEBm87lbYgkiDxeHgfE7lpBARkQUKTNNrdjVTbS1n3SluIR8N78Ku3VpAbn4zy8luXee/kAMNj86Qz6+9HciMsyyIazxCNZxgYmePspTEe3dfBkw934VslC7UaXC4be/a3Ud8QJB7LYGHhD7gIVbj57Bf3EYtlkCQRt8dOfUMQp7NkhFld6+f5z+5mciJGPl9EUWTqG+5MNEMSRbw2G17b+mWBo/kR0vo8Aa2JgdQ7ZPU4re6HCWgPZu+EYZqcG5vi3OgkfbMR5lMZdNO8qRn+TvAPnzzA5ro7l7O+11gDwRBQNQVFU3C4bOhFA0WROfzjsyTjGQKVHi4eH6BlUx02h0JFrR+9YDA7GSNY5UW13Z6tfDm4JvM5FUuQyuVpq7q5bOjGcXZzQzU/PXOVq5NzS6Rur22XzufprKng1Qt9XBydYmtTScYsksrQO3lrZ+i1QBQFnjjYxTdfPFmW/O3EVIyevmn27mhZt3TreiJf0Dl6apBMmVHZUMDF7u2ru5uvBdOzCV5/t4d3j/czOVMqPSknm3IvYFmQSGY5c2GU8ckYo+NRnnt6C411d270IwgiCC7AhaWPYRZPINo/ccf7vYZcvsj3fnqW1965zMh4dEn5xP3GtZIhp0PDtkzfl8Op0dJdw9MvPERlXQBv4HqG7271IxSLBkdODvDSGxe5fHWS+dj9JRbLIZsrYLcruF13sUfoAYZlWdRU+zh4oJ2mxtK8YVoW7x3tZ3Y2SSqZx+O2c/b8KMlkjv172+nuqkGWS0GnT3x8B6+/eZnDR/ro6qqhpbmCs+dGKBYNpqbiSJLI1s31nLswQiZTYG4+hapKVFfenpv5yHgE/X3lhIZhcur8CF/5xhGu9E2RL6wsZ73eME2LyZk4r7x9hanZBJ96dgf7d7Wt2OTsU5eW1/oovVZnr4JluL5PdeNTb+4zUFXvIqFwynac8spBgkJR59jpIX706nkuXB4nfh8CTclUjvOXx5iYinGpd5IvfHI3zQ2h286eCgK4PXY6Nyz93LdSlhIEqK71U1271MfmQUJKnyWSH8LEIKcnAYtoYaQsgqGba8saCIKAJNx+duDixDRfO3aOSxPTzCUzJHI58vr6ZvO/tH9tcswPCta0SlVtCo99ovRBnW4bux/fQCadR5YlHG4b6UQWp9uGalMIVHgwDAtREJDusntrXdDLIxta+Ju3T/PHLx/hUHcLfqedRDbHlfFZ9nc2sau1DlWW2N1az972Br577ALxdJbNjdVIoshsPMX50Wn+4bMH8dg0Ht/Uys/O9fJHLx/hYzs3IEsiJwfGGZiOEFrBr+C2zr3Gz+buWk5fGF1121xep2+o1ETb2lSx6vb3Gpd7pxibipWVkrfbFDrbqqi5zYl2OSTTOf71f/4pgyNzRGK3p3BxL2CYFlOzCX782nlSmTyf+dhDtDSU74h+DZZVxMr+cOkfzCkscxbWiWCMjEf4q28c4cS54ZtKbR40NNQE2NRZfcvG7+auaiRZWiQViWgap8e+7mVSs5EUP/rZOV57p4exyeiSHpMHBXZN4dDedtR1aur7IMLjtVNVeX3hq2kKmiZTKOiL39vUdBybTcHvdyySC4Caah8ul42BgRmwLFpbw6RSeSan4gyNzFFfH6C1pYK33+lheGSe2bkkXo+D4CryoithZDxy071kmiaHj/fzp3/zFqMT0ftGYHP5ImcujpLJlhrHHzvQde9U9G6BZCrHy29e4oc/O8fIeITCXS7jvBUsq5TNfPu9XianY/zap/exa2vTsuVuv+iwLJOckSCjR3ArYUxLxzCXD2oli2lOxS5yKd7LXD66IFdb/nPQ7WnjC40fv63zfPVyP395+CQXJ6bJFe8dsS8XpmlRKJZEQmw2ZdVqoPXGmmYVSRJLpQWAJEv4wx78sOAvYeH2lco9BEFYUWHqbkCTZR7d0IKqSLxyro+/ffs0RcPAripU+z1oirRYNuW2a/z2U3v44anLHO0d5Y2LAwiigNum0VETQpUlRFGguzbM3//wAb5x5Bz/7ZX38Drs7Gqt4+O7NnCsb3UyUA4EQUBVZR4/2FUWwQAYHJ2jd3D6gSQY753sJ5HMlrWt121n9/amNasA3Qp2TcFhV4jeQonlQUIylef1wz0oisTnPraL2gVlo/JRxMq/iKA+etOrlpUGa30GuyMnB/irbx6hd2DmnkZG1wpZFmlpCtHecut+HvV9rsKvfu8UT3xiBx7/+gUNrg5M880XT/LeyQHiyfWr715vCEAw4GLvzpb7fSr3FYosod1wXwiCsDinXVuo6LqJsCCucSOuqZ9d6z9qqA8iSSJDQ7OMjkRoaw3j9zux2RV6eqdIJLJUVnpue9wbHY9SLF4P4Jy+MMof/Y/XmZhaH+GRO4Gum1ztn+ZbPzqF22Vj17am+3o+s/NJfvDyWX7y6gVmI6kHJnuYL+hcvjrFf/qL1/itLxzi4b1td9yX8fMGm+wlrUewsOjyPsVE5vxig/+NmMhO8+2xl7gQv0pSTy0IBazte3Yrtzf2nx+b4i/eOc65sSmMB+TeuoZcvsiJs8O8/OYlJqdjtDRU8Guf2YdpmvQPz9LVWnXLUvv1wh2FrW4cbNe7zECWRH7/6X38xiM3p4ZsisKHtnWwp71+0ShLEErE4dHuFrY2VJPOFxcVKK65L0sLxjKCANU+N5/bt5VntnYusk5FEnHZVOyqUtJCVxWe2NzG1sZqskUdWRTwOmxIksizO7oJuddJJ1gS2bWtCZ/HTiyx+uJ8Zi7J1YEZDuzK4b6FA+e9RjyZ5eylMTLZ1etaBUEgXOFhx6b1NfKSZYlPfng7750cfGAjxu9HJlvg1bevEA66+fiHtuFZk5qRBMpuBPtzN7+sD2IVjtzxuf3szUv81bfeY2Q88sBMziuhqsLDps4a7CuUYp472s/40NyS14+9eYWDz6xfQ/y5y2N89TvHOHluhNw69mvdDSiKxL6dLXju4TgiIGDTZBRFuuuiAOVDWHX+8nps5HPFJRHwbLZIOpOnqTFUmjdsCtXVPkZGI0xMxtj1UBMOh0oo5Ka3b4piwaCzo+q2o/uJVI5ILEU45GJ0Isp/+LNXHwhycQ26YXKld4rv/Pg0FUE3TfV3Xv55O5iLpPjOT07z4svniJcxr95rmJbF+GSMP/rL1zEMg8cPdv3C+9XciIDayK7QFxGRsMs+NLdniYliwSjyk6k3ORY5S8ZY23esCDK19iqanXVs929c8/kZpsk3TpznyuTsEnLhs9voqq6g0uPGvk6S4OUY2F5DvqBz+Fg/f/HVd3C7bGiqwshEhEJBXyQeuZzOMw86wbibEASBav/SiyqKAn6nHb/TvmR7m6pQra7e6yEIAh6H7SYVqeW2sasK9cs4Ovsc69sU6vPY2f9QKz9+7cKq2xqGSf/QLENj82zuWtk5+F7j9PkRZudTZdW2Oh0qOzc34HKuf5Zr64Y6uturOHd5fF32p6kyXk/J5E1TZSzTIpMrLSrSCyZ8d4pkKsdPX79IS2MF+x9qWcOApCI6fgVBfF9ds2JHkO7MIfj7L53ha987zsRU/IGNwN+I+poAWzfUr3jtLp4cIpvOE3pflshYx/6ck+eG+etvHeXc5bEHaPG8MlRV5qlD3ffUE0NVZV74yA6efLibfF4nkcqRTGdJJnOln1M5kqk8ydT13xOpLKlUnkyuXOnj9UdnRzXHjg/S2ztFS1MIx0KG/vCRXrKZAg891IQkiViWRXNTiKGROebmk7S2hLHZVCrDHo6dGKSywkPNmjOV12FZFqPjURpqg/zRX77ByHhkzfuQRAG3y4bHbcOmKYhiKQOTTOeIxTN3XEZU1A3OXBjlJ69d4Euf249Nu3v9l8shEkvz/Z+e4QcvnSWRvDMRCkkU8C4YfaqKjCQK5Is66UyBWDxzx1ndmfkkf/Q/3sDvd7Jzc8Oyz2K0kOD1maNMZmc5ENrONv91P4iZ3Dy9qRFq7BU0O6+P+cPpSV6dPkK8mORAaDtbfJ1lGdE9KJBFDbd4PRttk5b27vSmh+hJDCySi83eTvYGt1NjC6OICv/myp+Q0bN8ufnT1NqriBdTXEpc5fDcSWRR5uGKh3gsvA+buPbrcmF8mrNjk2RvKIty21S+dOAhnt7YhkvTUKRSxnM9RlenVr4ARyKZ5SevXWDn1ka+8PweLl6d4Fs/PAmAy6khIDAxFVuHs1odDyzB+EWBIAhomsLjD3eWRTAA+oZm6B+cZVNn7QNR5wpw9NRg2epRHpeNA7va7srCRlVlnv/I9jUTDFWRqA576WitpKWxgoYaP9VVPtwuDVmSFsomSttaZkmGzjQtJqbj9PRNcblvkqMnB0mXkcFZDmOTUd4+2ktTfZDaMhVmBEEAwUOpjMOCBadTAQ3E2y+he/XtK3z9+yeYmIqtSzOkw65SX+OnrsZPRdBNwOfAYVNRNRlREMnni2SyeVKZAtFYmrHJGCPjEeYiqbL273HZ6GqvInwLw6nmzmpCVV5qm27udZkcmV+XMr1LVyf5xg9OcPbiaFmCDatBlkSqw16aGoJUBN0EAy7cTg1NlZEkiaJukFkgufFElsnpOCPjEWbmEmUtEEVBoLujmubGe1tqKS4u2ErBHdMsPUel58lc/Nm66fXSv6Je8maYmknwlW8e4Wr/9D077z27WzlzdoRvf/ckU1Nx2toqmZiM8ZOXztHZWc3+PW2IooAoijTUB/n6N48SrvBQWemlUNCpqvQyOhoh4HPcEcEAuHh1kr7hWc5cHC2LcNk0mbbmMDs2N9DVVkV9TQCnQ0UUb8jcWKWoeqGgMzkd53LfJMdOD3Hx6uRtBVFSmTxHTw+ysbOGQ3vvnX/BtYzwd39y+rbIhU1T2Lqhlh1bGmlvrqC22o+yUDZ97VpZVonoFYsG89EUfUOznL88zpkLo8zMJ9d8zPlomn/3Jy/z//3fXqChdqmik0dxsSuwmWOR82SNm/sQAqqPHX4X8vualC8keql1VPKM9yAB1YsqfrAV4pZbpg+kRogUStm7R0K7+WTdhwhrQWRRQkBAk1SyRo5aexUbve2Ylsk2XxfbfBv488Fv8NbscartYfYEtq35fM6NTxFNX8+aOFSVf/XJD7G3pX6RDNw3M9OCwcR0jM88t5PKCg8j4/OLf7NpCoosllVpsh74wBGM/uQ0Xx06wmcb99LhWV/ZLsuymMzG+MenvsrXDv7+uu77VpBEgeaGCtqaKugbWl2lKpHM0Ts4zVwkSUWw/NTZ3cLYRJTeoVly+dUnIlkWaW4I0dZ89xY2+x5qpaE2cMvongAE/E62baxn59YGNnbUEPS7Ss7I15ylRRFBWHmgsKySEtaG9mo+qm8hlsjwszcv8+NXzzM1m1jTOZumxXsnB9i/q5WaSu+aBifLjGKm/hTJ809LvxsDWPm3EJ1fWtM5AJw6P8LffPs9xiZvn1xIkkhtlY89O5rZta2J5vogDruKJJUc0MWFGneE0sRhWdbCv9Ii55qRVSqdp3dwhtMXRjh7aZzBkdllz6m60sv2jfW3bGDb+XAH4sL3eiM++9uP4S7TZGoljIxH+PaPTnHs9NAdkQuv286eHU3s2dFCd3s1Hpft+jVbuG6L1wxrcaFTWoCbGIZFNldyqL9wZZwzF8e43Du5rNeGLIs8fah7/U0fy8S1+1uSBKQy+d21eyTod+K9x87rTofKl3/9YX5cdY433+rh5Vcv4nJqHNjbzqdf2IV3QXZUFAVamitIpfPs2V2BJIlomkJ1VUnT32ZXb7vB+xp+9Op5gFUX/l6Pjcf2d/GhRzfQUBdElaXF8W3lMc2issLDxq4aPv6hbQyNzvPNF09y+HjfmjMbw6PzvHdygB2b62/b9XstMAyT42eG+NYPTxJfI7morvTy7BObefxgJz6PA1WRkGQJSVy5fM6yLMIVbjpaKnnqUDexRJYTZ4d48eVz9A7OrCnbNjEV59//6Sv8//6fLyzpx5AEEbukoYo3Z4JG0pO8OvMeGT3LE5V76fK0kCimeXv2JK/PHEUWJM7Genih7imanLUcm7/A4bnTZM0c7c5Gnq97Ekn84PZ+zOYjZIwsNlHjkfAeauyVSML18UwRStdLtwwkQUISJGRBZpO3g49WP8bfDH+Pn06+RauzkZC2NlWt/pl50je4nH5q50Z2N9fh1NT7RiyuQRBKc7BuGEsC0Pm8TqFo4vPem2zWB45gGJZJSs9hWHdegjCYmmUsE2FPqBVVlBf2bxEr3FulHEEQcDk0HtnXURbBAOjpn2ZwdJ5QwHVfb2jLskrqQmVGm50OjYN72u5qvammynzyI9v4j3/22pK/+Tx29u5o4dDedjZ21eC8tvCVxCX+Kavh2oMsSSKqKuF0qHzhhd08eaiLv/jqYV5958qa9jcfTXP24igb2qsJBVZfhCyWLlkmWKnrTalWCssYW9OxLctiZi7JV755hIEFHf+1ohT9q+NjH9rKto112DRlcYF8O/eo12OnutLLgV2tFHWTSCzNqXMjvHX0KmcvjZHPl0wzG+uCbOisueW+lAVZ5/GhOVI31mRb4HBpSPLa70fLskim87z05iXeeLfntslFY22A55/dzmP7O0tEbJWFza3gcduoCLnZtrGez3/CJJ0tcLl3kneO9nH4eN+iRKfHbV/W3fpBxrUsoiSKy0Y014rmphD/x/++i3z2W8Tmv44ohbHZP4nX7eV3fnMUWdmJwxkgn/0ppjmNx/0kn/hohicfOY6hz6GoG3F7n0cSx0jF/xzQMc0obU0tfPt//vPFzJggwNYt9Xzra7+PJJeehzvBasRCVWV2bW3ky58/SGNdYDECXw4EQVggfSI2TWFjZzUdLR/m3RMD/Ke/eK3srCKU+jEu905y5uIYB3a13tV5yrIsrvRN8Y0fnGByuvyeFJum8KnndvKJZ7bi9zpRFsaBcs61JG8qIKkiqirjsKs8+8Rm9u1s4cWXz/Hiz86VrbpnWRbnL43x9e8d5wsv7Cnr+HWOSg5VPMTZWA/6wnrILTt4umo/aSNDUPWxw78Bj+IiVkjw7vwZPtvwDH7Vy3+8+tf0p0dpdzWWdaxr84EFzKTSXJmaYTyeIL4gyboehYuNfh8vbC2/HyKjZ9EtnXpHDV7Fg/i+MeEaIbuxP0MQBBySnc3eTvyqj6ncLBfiPTwa3rumc41lchRvGO+f3tj+QJALKKng1df4+eErF+horVr8boq6Qf/wLBPTMbZvrr8n5/LAEwzLsjCxMBYMSwzLXLyNFv9mmWBde+BLC0XTKr1+7cEQF/52TR1Et0yOzPaSM4ps9TeABcoNbF43jUWjIkkUb2LGdwM2TWH/Q6387XeOldUcOjA8R//QLNs31d9XBQrDMDlxbrhs5Sav287BXW139ZxEUeDJh7v5n987wexcEk2TaW+p5JnHNnJgVyset30hir5+acxr+1FkibpqP//ot5+io7WSP/vbd5bo1t8K5y6N8+j+OEG/s4xzM7EK72Kl/ytW8QpG8RRglpy97Z9a0/nrhslXv3uMK71Ta65zV2SJjpYwX3hhD3t3tCxESO/82t642FEUC4fdR22Vl488sYn5aIrDx/vo6Zvhoa2NqGVKPR597TL9l8ZL+v2j83j9Tv7wX75AoGLtdeKmaXH05AA/efX8mqO7ggA+j4PPf3IXn3hmO5p6rQzvTu9HC0EwEGULSZbQNAf7H2pl744m/t5vHuLUuTFef/cq1ZW+FRvibxempS8s/FeOkD9IEMghCRfQNA2H808o5F9BLxxHsz+PqpiI0hCCsJVi8RSKsgMQMPXXCAR/E1nuJJX4F4jCecCLUbyAJ/h1BEEiGf17aNoEslxS57p2HzvvQs/Z++Hz2PnMxx7i0x/bibYODaaiKKJpIo/s66C+1s//+q+/z8R0rOz3j0xEuNAzzt6dzcjlpqrWCMuymI+kee2dHs5fHi9rsSsI0FQX5Pe/9BjbNtYt+krdyfUSBAFZlqgIuvn1z+ynuTHEX33jPQaGZ8s6p0LR4OvfP8Heh1ppK0MlUhREZEG6aWEtCAKKICMLEoooo4kKkiAyk59nPDPFn/Z/E0WUMSyDnFGel5FlWWSLOsdHxvjrE2c4MTZe8nmw1qrXdGscaG5YE8EoWjqGZWITtcW13Y1wSHZAIFW8meQJgoBDttPgqOZyop+B9CiPsjaCkS4UFtekXruNKo97zQHKuwWvx85nnnuIf/WffsyX/9FXcLtsRKNp/s//8GOyuQKPH+hi3z1SDnygCYZlWRRNgzemL/OVgbdRRZk6p3/xpk7pOd6cvsKL46dJFDO0uip5oWE3W/0NXI6P843ho1xJTGBZcDDcyWca91Bl9xIrpvnzvjd4beoylmXx6tRFZEHkz/b+JgKQM3T+rO8N3p65giSIPFe7nU817rmrN5AoCgQDTvbsaObNI1dX3b6oG1zpnWRiKrYuRm23i8u9U4xNRMvyvtBUmV3bGvHdYUnKahAEAYdd5bMfe4i+oRk++tRWNnXW3JN+lWuDnMdt48OPbyKeyPL1H5wo6/oA9A/PMj2bYENHNdIqJywIEoL2MJayCTP935Hc/+DaX7jWj1EOLMvilbcuc+TkwJprM71uO089soEvfW7/XVUjunZdS2UoUBX28sKzazcfev7LDy/+bBgGf/ZvfgS3EQ23LIue/il+9Op5ZufLj+pCqb9iy4Y6/vHvPEVdjX9dx5VI/hJ98W+RN2I0uZ+l2nkARXQwlz9HvNDLvt0f5+G7lLm4Ev0KbrWRKsd+FOHuPuPrActKYxgD5HM/Ri+eBUBRtgEiktKOoY+Qz/0UUXAjyfWY5hyGMUg6+W8QhJK0pWUWEEQLSe5AFJ1gmQiiH8u891LZQb+T3/riIT7yxKZ137coCrQ1hfkX/+Sj/JP/41skU+WVIBUKBgNDc4yMRWi5S/0+umFy7vIYP37tfJnkQmBDRzV/+Hcep7O1EnGdvQFKREPg8QNdqIrMX3ztMP1DM2WVnKYyef76m0f43//RRxdFA0ws8mYB3dQpWjoFs4giyBiWScEsolsGRbNI0dSRBWlZklRpC1Ftr+Az9R8mqHkxLBOHtPp4bVkWkUyW/3n6HH/+3knShbtXu79W53lVVJAEiayxfEWLWy49o9P5peqBkiDhkO0UrSLJ4torVm4MVjs05baz9HcDsiSyeUMt/+5ffJoXf3aWS1cnsWsKNVU+Htvfyb6HWu6Z8MIDTTAAooUUfznwFv+4+8Ns9Nbx8uR5vjlyDNOCs9FRjs8P8A+6nsGvOnhx/DSvTl2kxu6j2u7jy22P4JBUEsUs//7yTxhOz1Fp8+BXXfw/NnwUTVRwyjZ+pXkfdkkt1fhSypLU2v381f7f4WRkkL/of5OHK7uotvvu6md1OTQe3t3G2+/1lvWwXembYmh0nobawH25uS3L4uS54bLT5g67yqP7Osva1jBMCgV9ofxobbepZVkU8jqf+PC2+5rd8XsdPPf0FobG5nn3eH9Z7ykWDYZG5khuWQMRE1yI9k8Dt/dZ5yIpXnvnClMz5ZcWCAJUBN38yid388kPb7/jso97hWw6v5hRsiyLRDSDeRulTelMgZPnRsr2r7kGVZV55rGN/NYXHsbjti1OUqZVRLcylDosBBTRDZjoZhYTHQERSbQhImNYeUzrut67LNoXXs8xnTlO0LaJKsc+HHIYARnDzONVW/FrHUiCtvjZi2YSQZCxLB0QkEU7hpVbGAdNhAWSKosl1TzDyi1kKSRk0YYoKBhmHsPKY2FhWEXWYnB1vyEILmS5HWwfxu789YUsuAqCE0W0Yei95DPfRbM/hyg1gpVDllvRbM8iKR0LZMKDXuzhdp+99YLHZeMLL+y5K+TiRnS1VvFrn97Ln3zlzbIznRPTcYbvEsEoqWpF+PGr50mly4vItzSG+J1fO0THXSAX78eBXW3Mzqf42+8cZbqMvjzdMBfHlYe2NmJhMZaZ4nvjrzKbj2KTVNJ6loOhHQykx3hl+giRQpz+1AgZI892XxcO2Y5toWfj2rogoHp5NLybb429VPKKsCz+oP0Lq5KMbFHnJ1eu8qdHjt+kmLRekAQBTZGxyTIVzut+FIZVxLJMREGmaOawMFBEO5JwfWHsUVyoosJcPkLOyGNZ1k3roCpb6X7rS41gWibiDVUopmWS1XOYlknBXDtp8tptyJJIQTdIZvMYprnk+PcTkijSUBvg93/jsft6Hg80wbCwmM4lKJoGDwVLKZ0OTzVBzUXBLDKRjXJ49ipD6esMdau/gYxRIJXL8bOp80xnSw91X3KaolneA+KQVJ6q2YQsSgQ1N17FQbyYuesEQ1UVutqrqanyMjYZW3X7iek4/cOz7NzSeFckX1dDIpnj4tWJssz1BEGgpsrH5u7ypHXnIylef/sKdbUBDuxZW0mVYZj8pz99lU8+u53uVWrz7zYqQx6eeXQjp9bgizA2FSOZzq0h0yOCeH1wtqwiWNml8rXLwDBM3jhylf7h5RuoV0LQ7+JXP7WXTzyzrfw3PQB4+dsnGLg8AUAmlccbcC72Z5QL07ToHZzmrfd611ROpioSH31iE1/6/AG8ntKi3aK0mB9Lv8ZY+nVEFDTJy5bgH5DVZ+mLf5usMYMiuqhy7Cdo28hY6lXmcueQBBXDKtDo/jAh22bGUm8wkXkbEYW53Hk6fZ/Hp7YzlT3GYOL7OJVaNgd+B1mwY1h5js38fwjaNpMqjiIJNtq9n6Iv8V2KZpKCEccuhUAQaPF8EtPSGU29QkafRhVdNLg/VDpm+g0mM+8iCjJZfQaP2rima3k/IYh2ZHUnhjFOKv6/AwKq9hia/eOIYghRrEQQ3UhSLaLoAlyotufI5X6AlYkBFk73P0UQFEQpSKkDX0AUAwjCvZNmVRSJRw908qnbyOitFYIAzz29lZ+8epGBkfL6BWfmEoxOllzG1zsQkS/oXOmb5uT5kbK293nsfOGTu+lur74nrsaCAM88uoGevileeftyWbK2mWyBH71yju2b6ks9Zs4a/rDjV5dst9XXyVbf8gG7j1QfWvLaDv8Gdvg3lH3ulmVxZWaW75y9dBO5EASwyQoORUaRrpsYRzJZcnppO49Nw64oNwRQLIqGQbZYLJVXUSpbb/D7+NTWjRxsaaS94rrC33T2CrHCKNX2TVyIvUhan2Oz7xPUOrcublOpVeCSHczmI0zmZml21qNJ19WyGp21CMBAeoShzDhNjrqF8nmTRDHFRHYaUZDQbkO+tz7gxa4oFHSDVL7AfCpDtde9atXB3cA1oY8H0UflgSYYwILkGGT0PDZJpWDqmJa1EOWT2Bdq559u+ihO2VZikVgUTJ2vD71HyObmt9seJ2MU+N/OfmvJvkVBWOzfuBGCAPaFG3XxdrkHgTlBAK/bxv5dbXzjByfKes+lngnGHorS1ba+ilrl4NzlMaamE2UtTDVV4rEDnWt6CCwTUqkc0zNxJEnC47ahqjKJZJZsrohpWos+FZIkEk9kyWYLpSzUOkiFrgcURaK1qYKdWxo4XGYWY3IqXnY0DgAzhpn6/yN5/0/AAn0AM/8Skuvvr/rWqdkER08NrqnMx+XUeO7pLR8oclEs6BiGybZ9bXRsLunFq5pCuNaH0702X5tUOseZC2P09E+V/R5JEjmwu40vvLAXn+cG4miBbmW5Ev1rHq35IzTZVzpfM00kfxFFdLC94l8xlz3HRPodbJKfopnGr3XR5fsiA4kXSRcnCdm20ur9JEUzjV0OUe08iCqWhAJqnQ+DZRLJX7rpnAQEXEoN3f5fAyBdnEIVXQS1DWT1GSTRhizYieYvo5sZNMlLu/fTjKZeIZq/giI4ieYu0ez+KGHHTk7M/GssHnz/jxshSdU4XL+97N9sjhewOV646TVV242q7V6yrcv7L5b9+V6gvibAlz9/4J6VgGqqzPPPbuff/cnLZb0nmysyM5cgncmvqzmsZVlMzSR49Z0r6GX42UiSyNOPbmDbpnq0NQYV7gR2u8qHHt1Az8A0fYMzq25f1A3OXxlneGz+rpWVlYOcrtMzM8el6evnrEgiDT4fj7Y1c6ilicaAD4+t1APxT37wU1652ocF/OaenXxkQycOVSFf1Enk8vTNzfPe8ChHhkaYSaXRjdJ6rSUYoCUYQL6B8OlmjqwRZz4/iFetxa82kNJvJrTNzlq8ipvZfIQL8R62eLtuIhgbve3YJI20nuUrQ9/hN5qexyk5SOppXps5wlR+DrfspFJbe4n5lroqvHYb8WypVPCdviHaK0PYlftTKnWlb5LGuiAupw3dMIknMng9jvumEngNDzTBEBCotHkJ27y8PHmebm8tl+LjpPU8qijT5KzgdGSIVyYvsslXR0rP45ZtBDUXNkkpuWVmY1xJTBDNp5d88WGblyvxCQZSMzhljQZnaIUzuXdwOTV2bW3kBy+dKUv2tad/mpHxCO3N4XvKYHXD5NylMWbL1P12OW0c3L22TEQ6m+fqwDQXFjwtnnliE92d1Rw/PcSFS+Ok0nlsmsJv/Mp+PG4733nxJJPTcbxuO/ORe6sEdisE/U52bC6fYETi6bKyHZZVUozCGAUrgaX3lhrvjEGwVq8BtyyLU+dGGBkr36xLWnCe/8LzSxdZDzKGrk4xOxkvSeDqBrIsYRgmk6Pz7Hy4A7ujvCiWteDAe/zM0JoyPq2NFXzxhT3LqoMVjSSy6ECRrv3NwrR0imYGm1wakyTRjiTaKJhxVNGDLDoRBAlJ1DCNwkKZ09ogCBJetfXm15BRRBdFMY0iOrAwKBopcnqESP4i6WKpiTZo20TRSpVIiFhqptQkP+I9jNz/EqAqMp/72EMEfc7VN14nSKJQcoB328r2mojFMkRi6XUlGEXdYGBkltNlZi8aav3sf6i1LIW+9cbm7lo6WysZHY+UlcVIpfO8ceTqfSUY8+kMZycmr4vdCAJbqqv43QN7ONDcsCQDZFPkhaCthSyKBOx23Lbr4+qGqjAf3djF5ekZ/sOb7/Le8BhDkRj/5tW3+Gc8wqHWxkUhAFGQyRlxVNGBR6kmq0eXnF+Do5YqW5jRzCRDmXGyRg4La1FhLqwF2eLt4t35U1yI9/AvLvxHKm1BYoUEkWKpHDig+uh0ty7Z92rY0VBLc8jPRCyBbpp87/RlHu9qo7MydM+9ySzL4l/+x5/wG5/dz9OPbCAaS/Pf/votfvuLh6gI3V8bgwcvp3IDBEHAq9j5ctshjs318zeDh0kXczwS7sIhq2zw1vDR2u2cj43yn3t+xteH32M4M4dT1jhU2UUkn+LP+14nWkizM9hMQL15YHm0shtNUviL/jf5y/63sCwLTZTp9l4v49EkhUZnaDGjcbchyxK11X42dJRX2hNLZOnpmyZWporTemF6Jk7v4GxZxnKiKLC5q7ZsA7lrME2L3Tua+Ie/9zTVVT4GhudIZ/Js3lDL88/t4Nc+t4/h0XlS6TzjkzF6+qb5+7/9JH/n1w89UE7KdlvJaM5hL+8eSiSy5PN6GVKxJuhXMbN/i1W8gJH89xipf4+VexlB2b7qcdLpPBd6xtdkDhUOuvnSZ/ajqR+sheT0eJS+i+O89aOzvP2Tc1w8NcTJt3t4/cUzZNeQLSoWDQZH5+gZKN/kzelQeeHZHdTXBJYtEdEkH4roYD53gXh+gGRhFFGQccpVpIsTxPP9JIvDADjkKliD2pRlWaSLU2SNWQpGnGRxFN28cVG4dAp4/75V0YNXbaXG+TDt3s/S7v0MNY6DeNRS2WqyOEKiMEhWn8a8DaLzS9w+GusCPH6w654eUxAEXE6NrRvKl7qMJbJlKw2Wi3giy9FTgxTLUOkTRYF9O1tprg/dlwizLEvs3tZEoEwimM0VOXNh7LZMDtcLyXye4Uhs8few28XHN3dzsKVx2fIyVZIWe1pyur5sH6koCGyoDPMvP/I0j7Q2IQoCo7E4f3z4Pa7OXjeEcythVNGJZRlU2rvQJPcSN29NUnnIv4l9we08VXkQr7p0Mf2J2qeoslUgAGkjw0B6lEgxjgB4FTfbfN1s8Kxd1dJlU3lh5yYaAj4EQWAsGudP3niPvtl5ioZxWzLvtwuLEiG9JrKSz+tcuDJBtsyS7LuJu57ByBnFBVfFmw+VLOZJFfMENMfi32aySWZyKbyqjTqHb1G2sVLz84WmQ1TYXITtN99Eu0Ot7A4tZaA7Ak3sCDQBYFpF8voURTNCojCLIvqwyTV45Ty/29aMInqwybUIgkjY7uH/2vF5CsY8lmVQ5wjzB51P3fIzGmYW3UwiiQ5k8c6jI36vnT07mjlzYbSsZu/zV8YYn2onUJa06frg7KXxsvXGFVniqUPdaz6GTZPRNAVBKDXAm6ZJNJblnSO9ZLIFNE1mbj6JYZikM3m8HvuiIZnf9+Co2JTcix3UVfu4OrB6ijyTK1Io6FjcWt9IECRQdyLK7ZjZbyE5f/3aXygndnClf5rBkbmyy8kkSeS5p7bQ3Hj/M31rxcEPbebghzbz1T96ld2PdtG6oQYs+K//8gdr2s9cJMWp86Nrmvj37Wxh28a6ZWVhBUFAQmOD/8uMpH6GiIwqe+nwfg6/bQNpfYqBxPdRJQ+V9j045Woy0hSSWJpMbFIQWbAvZg4cciWq5EVcbDq2mMq8R7wwiG5lGU+/SZP7I9ilCrxqK7J4PaIsCSpOpRpV9GDKOpJgA0wEQcYp1zCZOcxg4geAQI3rIBW27VQ6djOdOUqyMIxTrsYhVy42h/8Sdx/PPrkZVb33DeayJLKxs4a3j/aWtX0qk19b2ecqME2L2fkUJ8+Vl72oCLrZ1FlzX+eFzd21BPxOJssQ0zBNi+nZOEOj83S0Vt6Ds1uKdKHIZOJ68KkzHOKh+toVVe8USUISBIpArrg8wYDSmBdyOfiDh/dydWaOoWiMvvkIXz99jn/25KPYFBmvWsuu0PW+k0bXnmXnwt2BrewLbkdaQT2r2dnArzc+zw8mXyGSj1O0ikiChEdxsdXbzUeqH0OVbi9Y9nhXC0NzUb5x4jwTsQQ/u9RHMpfn1/Ztp6UiSNBpx6Gqd10ARaAkKNM7OENDXYD5aArDNJmPptG05Zf4Dpu6rtnElXDXCUZvfBZFlOjy3fyQzGaTDKbm2RGsXyQYVxMzfGvwLK2eIL/b9TCyIKCbJifmRnhjspcDlS18unn1yOyNsLBIFi4zn3mDohkDTFzqBsKOZ0gXe5lIfQuH3EST73cQUBfeo5MpDmFYWTQ5vOoximacdKEXu1K/LgTD4dDY2FlDMOAsqzZ+YHiO4bF5utqq1qy4dDvI5YtcujrBXKS8yHc45GbnlrU3f+YLOuOTMS71TDI1m6CjtZJ8vkgkmmZjdw3hkIf3jg8gigLVlV4KBZ1LPRM47GrZqft7BbtNIRRwlUUwAAq6gWVaIJUxOAkORNuzXFOysSwDyCEIKw8gpmVxdWB6TaZUFQEXH77LKjX3AiN90wgCFPI6mVS+7FIny7KYi6S42DNe9rHcLhuH9rQTuoV7syCIhOxbCdm33vS6jJ027wtLtq91PbL4c5Xj5lK1BvfNwRBBEGn1fmLZ424M/J2bfrfJARrdH1rxPNu8S71VwvadhO13v7n4l1gKl1Pl4TWWna4XREmkpaH8QEM2VyC7RgnsWyFfKNI7OFOWMhNAV1sVtTX++6ryEwq4qan00jswXZZvTiZb4OLViftGMIqGQTJ/nRSGXU5qvSsLh6g3GDqmC4VSf+sKEAWBOq+H5zZ18Z/ffo9MociZiSl65+bZXL3086aKMwgIeNTqm17XVqksEQWBXYEttLoauZLsJ6mnsIka9Y4amhy1NzmZRzNZJmLl3U/X9r2/rYHJeJIfnbtCIpfnvYFRLoxPs6+1gZ2NtdQHvLht2iL5ul2y0RDw3VRudjME9j3Uwk9fv8jQ6By6YZFM5vjeT07jdC6/Bti5pYEn7kHmc11Woxm9wGgqSrKYRxJFquxugpqTmVySlyeuoIoSWaNIvdNHUHMyn0+TKOaotnuw3cAeD1a2MptLM5W5vujRJJknajpJFW8v+mGYGWbSP8IuN1Lv+XUUyYtpFRGQCNj3UzBmyekTi9tblkFOn8DCxC6XUsCmpVMwZskb0wvmMhaaXIldrqFoJika8yiSF0X0Le5HN1NkiyMYVgYLE5fShSy6yxrgREEgHHKzY0sjL71+cdXt84VSSmznlkZq1liGdDsYHJljaHS+rEFSEODhve04HGsrMdM0ma72KkYnohw7OUAo4KKzvYqAz0FzU4jh0XnmI2l2bG3E7bIR8Dt57OEuTp8dweO2s3936z1h6OVCkaWyS6SgVIpjmmZZfTWCIIN0w6BsxbH0IQR1x4rvSWfyjIxHiK+BiD12sJOg/97Vet8NbNnTwvE3exi6OkUuU2DDjkbsZSqwFYsGkzPxNZGyrRvqaGmqQFUe6Ha3X+IDiM3ddfjvYdb6RkgLQR1BoCyCnsvr61qykc4UOHtprKxtSx4eFVTe53p0QYDmhhDHTg9RKK6uvJjL6wwMl6fUdTdgmCb5BVUoSRRxqCp2ZeVov02WkRekYBO5PPoqCnt2RWFfUwP/7d3jFAyDSCbLidEB6gJL13oj6RM45MASglEOBEEgqPk4oN06EHJmZJI/eeO9svepSBI2RcamyKhySYzIAlL5Aj+71MfPLvUhiSJBpwOXTUWTpZsa2deCf/6RR9nWsHzZvCDAC8/uQBQEhscjJJJZDNMkEsuQzS3/zKXXMZt4K6zLrDeWjvHVgZO4FQ2famdboA63YmMkHaU/MYskiNgkBZukENSczObS/GziCgXD4Dfa91C7oJxyN5DTJwELt9aNInkBbtmIaGGSKvYyl3kFt9qNQ/kNTCtHLPcec5k3cKkbKRgz2JV6atyfRTcTRHJHyOljVDo/hk/agYVFJHeEVP4SgiBhWSY2qWYhu1HeZOD3OtixuYE3DveU1RR2/so4kzNxqsLeu5qSsyyLiz0TjE/Fytpe0xQe21+e98WN8HocHNy3vCHYs09vWfb1Q/s7OLT/7piI3SlkWcRuK59gGIbJagqolmWAMQxSPeh91183RrCKF+EWBGNsIsrkTLzsWlFVkXj8wL2t9b4b2PRQMw1tYeZnktgdKsGwB7lMF/BEKkdP/zRGmdK0siSyY3PDXW0qHZiP0Ds7T8EwsCkyW6qrCLtdK44y8VyOw4MjWJZFc8DPhqrVM7S/xIOJPdub76N7sIDToaKpSlmCFLpuLPrP3CksyyKVznG5d7Ks7T0uGzVVvjUFeO4Waqp8pbKVMpL/haLO6ESUom7cFz8ny2JxDhJYfeXi0lSUhYDYfCaLbtz6+5ZEkZDTQcjlYCKeJJUvcH7mMm3xMzjlwE3bzuX6qXVsXWFP64NoJsP58fJ768qBYZrMJFPMlN/muCySuZWzf4IgUBF083e/+DCmadE/PMv/+9//kL/3m49RV+Vf9j2yfG/KWNeFYAiCgF910OkLU2X30OwO4lI09lY0cyk6hVux8dmW64udbl8l8UKWk3Pl1U/eCayFbIVQphGSKCgEbQfRjTiGdb08ybJMNLmSRu9vEskdIZ47iW7EsMt1BGwHieYOL25rWnmi2cME7YcI2A8hCmu/zDZNoaUhRFN9kJ7+1W/68akY/UOzdLVV4SxTEed2EE9k6emfJhIrT6WpvTlMW9P9U8J4ULBWw8DSwn+1hayBVTyNIPoxM3+NIC2UoZlzYN06QjY2GWN2rvxRr6k+RPMaSiIeVEyOzDPcO00qmcU0LZwuGzsPdmArI8OWTOXKkpm8hnDITUtj6K4ubN7sH+KPDx8llsvh1jT+6ROHeG5D54qRxvF4gv/lhy+hmya/9tD2XxKMDyhEUWBzd+19M7gUhFKm3elQyyIYhmGir5N0uGGYzMwlmSgzyFVV6SV4nzI970dF0FV2NtM0LWKJLPFEhlDg3mdfJFHEJsukCgV00ySn6+iGuaL0qVsrlQIBjMXi5HVj1T5CSRTx2+1MxJPkdZ25dBIJB2HbzUFJ3cwhC+WtawzLIGfkKZg6FiaaqOKUH5yezLsFQRCQJAGfx05TfQiXQ1tz5ch6Y10IRoPTz4fqujgbGacvMctsLsnTtaWm3msmK/fL5VCVQphWgZw+iVPpRBK1RQdcocxsAoAoaChiEEGQEJFLDrgraL6XauAFBEG54RjXFovlHzMcLPUulEMwTNPi1PlRdm9vvqsEo3dwhuGx+bINxp461H3X3VI/KFj/aKOEoCxEdQQNQd0LgGWMgn5lxXdZlsXMXHJNqi67tjciSeIDMUm/H/l8kULRKKsk7uhrl5mZjNJ/aYJQlZdMKk/XtoZVCYZlWaSzhbIMMK+hvSVM0O+6Z9csmc/zZv8gO2traA0FVn/DL/GBhd/roKpidSPNuwpBWNNi2TTWR1mnUDAYGJ4rew6qCLhv9p65j/C67WuKHheLBnOR9H0hGKos4bZppAql6HkqlyeeyxF0Ln8tQ04H9oX7YTqZYiaVpjHgW7Us6NroaJgmChV0eg4QtDXffC6i45biEaZlMpObZzQ7yWw+QryYImfmsCyLNlcjhypKvWqWZWFYBik9gyAIqKKCfcHNXBTExQzMg4a1TCEup41nn9iEZ43+TncDd0wwLMsiVsjSn5jDJWtMW0mms6XIvwB4VDtDqQgvj19hc6CGaruHS7EpzkTGGEjOc3R2mH2CSEBzcGZ+jMvRKSKFDIen+9kZakAADk8P0BOfQZUkTs6NsMFXjV0ur/NflYK41U2kClcomjEkwY5dacSptJHMXyRZuETRiDCffQe/bTciCpHcO6QKlxdKo45jlxtYTpnHsiwyxRHi+ROki6USFUX0YZdrcSrtpAo96EYcBAm/7aEFglL+neLx2NnYWY3PaycWX71m89LVCSamY9TX+O+KJ4auG1zunWS8zEWWz+tgz/bme64L/YsCQZBAbsOy8oj2FxCUhQZsowaklReY+YLOfDRFJlN+0+XWDfX3sRzj1picjjMxGWN/GY7v87MJHvnIVtxeBwc+tImXvnm8rCiwYVrE4pmyM3dQyvr4vfd2kD8+Msal6RnqfB40+Zd9Hz+vaKwPIsvLK+fcKwgCZc8zlrV+XrX5os7w2PzqGy7A73M8MP14Toe2prm5WDTWNOasJxyKQpXbtagkNZ/JMpVIrkgw6nwenFopuFkwDE6MjrGxKoxnheZka8Hdez5TWtsIgoBD9t5ALqyF/h6LoNayYkA4o2c5H+/hRPQCVxJ9TOfmMChlywQEHqnYvUgwABJ6ip9OvkXRKtLkqOPhil2Igkh7OMiXDjyYghV1fm/Z2zrsKvseWru3x93AusxAhmWS1vMIgkibp4INvpKrtCAI7KpoQJNkUnqeollKmeUNnYDqYHOgBlEQ0E0DC4uMUaTB5afG8pIxiiXHbgF006DdU4EoCmSNIuYahipBEKlwPEksf4KcPoFuJTCtPFgmppXFLjdgk2owzRyWZWAJMqZVwKE0Y2FimFkEQcKptqIuKErZ5Fp8gCy6KRizSIIDl9qFJDgxKYAAFY6niOdPoZsJLMtayGqsDbIkUlftZ0N7De+eWN2kLRrPcPnqJBs6qu9KxGZmPknf0CyJVHmNwbu2NREK3LsI7i8qBEED5bq6kyD6EYSV61Vj8QzRWLosCWQATZVpbSwZCJmmxdR0nN6FrFpRN2msD9DeWslcJMXVvmnsNoVINE1l2EN3RzWxeIb+wVli8Qxul43O9ioKBZ25+RQN9QE8bjs9fVNgQXNjiPHJGINDs+iGSXWll43dtUzNxLnaVxJZKOrm4r4np+O88XYPgyNz5PM6dbV+2lrCK95zbo8dWZERBIHLp0eYnYhhllG6kc8XmZyJly3pK8si4Yoidnt5z32pJM4skcbbgMemYVoWsWyONwcG2VpbRYPPd1v7+iUefNRV+e9bedT9RrGoMzJevjmox2XDeZ9LRa5BVaQ1BWqKukE8sXpw8W7Apak0+H2cHi/1ukwlkwxFY2xcRuUJoM7rJWC3IwoCpmXxs54+nuhopVMNLeubUTRM+ubmmU2VCJQsiosEJaNHmMxeJFmcwrB0FMFGjWMLIdvNC+eskePtuRP8dOpNxjJTmKwyPgtQNHUuJnrpSQ6wydvBRm8HIc3PxtpKNtbeH8Wu9YZumMxHUsxFUhSKS3t4K4Ju6qqX789YT9wxwRAEgRqHl8+2LM/8WtwhWtw3127vCNWzI7TUpOex6vZl9/HRhjuTxpQlNyHHY0teDzoeWWZrqHQ+u+Q1Vbr+GexKPXaldP6K5MWpLo2canIFYXllycdyEQ552LqxjmOnB8uqYT1+dphHD3TeFYJxtX+GoZG5srYVRYEnH+5CukfNRHcDpmmSz+ukswUy2QL5vE6hqFPUDQpFo1RXrBuL9cW6bi7+bBjGTa8lUzku9kysftB1gGVGsPQriNqhZf8eT+bKJokAlRUenA4NQRAwTJPRsXl+8soFnn58A5FomsGhWaqrvMzOJXn73ats6KrBpilYlkWhoHPx8gSj4xGCARcXLo9jmhZVlR4Ov9eHqnbhctp47c3LbNlUT0XIzStvXKKmyocoCrz82kXCYQ+jYxF++NOzfOiJTUSiaXp6p6iv9WNZFvmCTi5XLJVhrEKatu1vI1jpYeNDzfReGGPjQ01l9V8UCvqaelZ8HgeqfZSiVYVo1CCJTgRBpmhEEAQZSXChm1FARBZ9GGaSdOEsdqVzMZCxFgTsdirdLvrm5jk8OMIznR1Uuf/v9v47TI48ve8EP2HTe1NZ3heqCt430H7a98w0x5HU0BvxRFLS8+iko/hI95zW3D6n2z0990h7K+1KpCiJXA6HwxkOx3K6Z6a9Q8N7oLyvLJPeZ4a5P7JQQAFVQBZQMD3Mz/OgqzMyMiIyMuIXv9d9Xxeq9OCLQ+vcfxob7q+Yx6NMuaIzuwkltwtX5/jzvz627iT3QVOu6MQStUckDMOsqcblfuC12egNBVZfR9NZRpZjlDUddZ2ic5fVQm84wOnZOTKlMleXYnzt5Fl+6/B+2n3eNedfNwxGYzG+ceYCmlGd19hVhUZ3VRAjWZ5hNn8Gw9Qp6RlUyY5d8a8xMExMTiUu8MP5t5gtLCAKIm22JhqtIRySnfeWj6Pd5NgVEHDINrZ7ermSGSVWTjKemyZouf+T7QdFuaJx4fIsP3rrEkvxDJpuYKycY1EU8bisPPt4/6fDwKhzf3HYVXo7wzRHvEzW4LUZnVhiaiZOa5NvS6UxC8VKtW9CDU2CADpaA2zrjjyyaTU3YhgGmVyJxeUMy/Fs1cOfypPOFMkXShSKFQrFMqWyTqWiU9Gq//QV4+G6UbHy17i+/Mb3a80ZrhXT1DDLn9z6hj6LqY3BBgZGLl8ivwlN+rZm/011NAIOm8qzT/YzO5/kL7/1CUtL1cm3zaoy0NdIT1d1krwcy3B1OEoyncftspFKF4gupujvi2C1KcwvJJElkUKhQnuLn+VYhnMXZvB67FhUmcXlDAsr15zTYeG5p/uZmUvyzb85QS5fpq3Fz/b+JjRN57ln7tzMsW9n1THg8tqJtPpwOK3YaqhZqmj6pmpWgn4nFmueYmWcUmUch2UPhlmgrEWpGMvYlX5K2jSKFERW3WhGklTxXRQphMrmDQzdNDna0YZhmhyfnuWd0XF2RMJE3Hefu12saEwmklxeWCSayVKoVKqyi3Y7XQE/Aw0hPDbrmsQF0zT52ulzzKXS9AQDvNLfh/WGcahQqfCtcxeZS2WwKTKH2ls53NayZr8jyzHeHB5DMwwe72xjd9PmpSl/1gn4HOuOrYVKheNzs8xm0+wKN7A9dHuP7FQqyenoPIokcbCpmZD90Zahvua0SG3iXjxzYZozF6bv41HdP0zTrEkO/n7gUBV6ggECDjuxXJ58pcLQ4jLTydS6NV6iIHCkvZU3h8bIlMqYpsn3L14lUyxxuL2Vdr8Xu6JQ0DQm4wneH5vko4nrv4vXamUgXBWEqRhFnHKQoLWHgpZCEMQbmodWWSrGeW/pOPPFJeySlSdCB9njGSBiDWKX7XySOIum3Rr9sYgWOh3VMSen5ZnOz3PQv74y5aeRbK7Ed984x/RcnKMHuomn8py9OMPTR3oZn4qh6eZ9VTa8kS01MLSKRmw+ydTVeRanYySX0xSyJXTdQFYkbA4rvrCbpu4GOgebcXkdCBt4YUzTpJgr8V/+n3+NJEt07Wjlha8epVyqMHFplrPvXSETz+H02unZ007//i7srmqeZaWsMXZhmsufjBKLJlFUmda+RnY/uQ1fyLPuPk3D5K1vHePKiTEUVWbH0T6OvLKnur1ShbmxRYbPTrE4HaOQLSIIAi6fg8bOED272wk1+5Dug5ScIAg0N3rZOdBck4FRLFU4dX6KnQPNW3oRzUYTjE4sUSzV1sH4qcd6cdjVRzI9yjRNcvkyU7NxJmaWmZ1LshjLEE/mSKYLZLJFMtki+UJ5y42CraWCWfgGgrJ2cDT1JbhBAe1mNmtgNITca7ylJiaablTzqk0TwzARV/KKLRYZt+t6vrOw0lzIalHweGwc3NdJY0M1IrJnZyvnL85wdShKf18Ej8dOuawjCOB2WbHbVD770i5CQTczs3G8HjuiKCKKAooiraYrmZjoxuaEJCRJJLSJnjEVzSCZrn1S43XbsVkryKKbsh6loi+RL1/GNCtUjDgWuZWyPo+mx3GoO6sRDlRUKVLzPm6kpGm0+7wUNY2hpRhvj47zcn8vQYdjQ9WXjTBNk4Vsjh9dGeb98UnGY3Fi+TwlTUcUBDxWKy1eN3uaG3ltez/bQsFV9RiAjyameHNkjB2RBp7p7lw1MEzTJFeu8Ecfn2AuncGhqmRK5TUGhglcXVrmj46dwG+z0e73bpmBUTaKTOTOkywv0mLfRpPt7prUnU78hG7nXtxK4M4r3yc8Ltu617q4cr+NxGPYZPmOBoYqSaRKRRZyWXp8/kfewDAMk3SmuGWKVI86hmlSeUgGhiSKtHjd7Gps4K2RcQCuLC5zYX5hQxGJ3U2N7GxqYD6doahp5CsVfnRlmFOz80RcTiyyTEnTWMhkiWauP6NkUaTD72NPc+PKawuq6AQTEuVpKkaeButamfSrmTFmClF0U+docD+vNT1H2BJAXOnFsVHNhixI+FUvFlGlqJdYLiXu+Vw9ShRLFUYmlvjiK3v47PM7OX9lluV4lp//3H6Gxxf5+NT4p6cPhmma5FIFrpwY5fxHw0xdmWNpNkFqOU0uXaBUqGAaBqIsoVoVnB47gYiXlt4IRz+3lz1P9mPboACrVKzw3f/0JqIksvvJfp7+4kEufDTEN/7XHzF2fppCpojVYaGlp4Hn/t4Rnv3KYRSLwvEfn+dHf/oeI2enyCRzyLJIsMnP5U9G+eLvv0CkPXjL4GyaJqffucyP//wDFItMNpnnsZd3k1xK885fH+f4T84zP75EcilDuVhGEARsTiu+Bjft/c089vJu9j+3HU9g69Uegj4ng32NvPXhELn8nS+ME2cn+fyLu7ZMms80YWR8idEam/7YbSpHD3Sj1thf4EFgmtXur2MTy5y/OsvI+CLRpTSLy2niiVzNhtOjhQBiGOHmSIU2iVk5v+GncvkyhULtYXef1762UN+EVDrPd354mkQyTyjoIhx0MTG9Unh5w8pul43tA01cGY4yH6323WiMeFBVid7uBj4+Psbo+CJPPd6H3abSGPFwcH8nsUSOVLpQrePa18Hs7MZKGi6njVyuxF/+9XG2DzSxc7Bl/RXvgUplc7nQTocFq0Wloi+j6QkERUKRghQqI4iCBUFQAIFCZRQwEYWqSkpRm8QpeTd9fNcm/8/2dPH++CQX5hd4Z3ScbeEQwQ2KMjcimsnyZyfO8L1LV1jM5gg5HOxsjOCyqBQrGhOJJOfnFxhaijGdTPF7Rw6xPRJGEqsqY92BAB9OTDERT1DR9VXDzwTm0xkWsllEQaBYqTAai1PRjVX1lrKmsZzLky6W6AsFiTi3zkkiIqIIFhLlBayS864NjJHMKRqt3Q/VwHA5reveDxZZZjAYYjS+tgg6ms3w8ew0i7kcfpudA41NdHh9RJwu+oMhitqnY/zTDYP4JqIXn3ZM00Q3Hp4x1eR281hHGx9PTuO323mis52OwMapNR6blS/v2s7QYoyhpeWqgihVVamFzMZOr0a3i9d2DBByVg1cn9qGQw4gCSolI0NZz99SfzGVnyVVyeKQ7Bz27yFk8a8aF7ejqh6lYpdtpMoZcvrP1vVkrjjbOlsDWC0KkigiiSIVTaejNcCp81NcGYly9OD9LwS/ZwOjXKxw7v0r/Pn/5/vMjy+S36AzsFHW0Moa+XSBxekYQ6cnGDk7Seb3nueJ1/Zjv42klqEbxKNJJi7P8o1/+7ecfe/qaoOwSlnjyokxSsUK/gYPLq+D7/3xW1z4cAhtxfLXyjAzEiW+kCTc6uflX30Sp3djT42uGcyOLpJYSPGNf/cj3v/uSZbnbrVyK/Es6XiWmeEFxi5ME19I8ZlfeAx/Q+0V/7WgqjKdbUF6OkI1dS+dX0gyNLpAa5Mfm7U2ta3bkc4UGB5fZDm+8QBxI7sGW2hs8D4S0QvTNMkXypw8N8Unp8cZm1pmLpoknszX3GTu0UVFtH8VQV4r6YcYQpA29vqWy9q6hV8b4fPY1/yWoigQDLjoaAvS2mwQCXuw2VSaIl6efaof9w0OA0WR2N7fjMdjJ5utGsdetw0EAbtN5dmn+tm/p52WZj+SJGKzqbzw7CCzc0lM00QUBBRZorMjhMNR3a7fa+eFZwcJrAgIdHUEefXFnZTLGv7b3Nf3gm4Ym4r6OOwqfucB7CoYZicWuRWL3IJFrho/ihREtKg41O2AiCgo+OwvIYl356CoGDq6aTAQDrKvuYnxeII3ro7w8kAfPpu15vzzVLHI61dH+Nb5i5Q1nRf6uvnc4DaaPG6sskxF11nM5PjR1WF+OjzGu6MTBO12/PaDtHir415PyI9Flonl8ixmcwSdDgSq5/BidBFJEOkK+hlZjrGcy7GYzdLsqUquZkoloukMhmkScthpcG2dgSGLKmFrO4ultf2XUpUlxrLnyGgxHJKXDscOApYmFoqTTOUvUdAzeJUGupy7cd7QFDZTSXAp/QF9roN4lRBCDZObrcJikalV8jxXLnM6Os9kKsWeSCOj8TifzM7gs9rwWB8NdaVaMQyTTPbhFD0/NB7iY8qhKhztaMU0j9Lq89AfChFx3/6e3NvcxG8d3sd/eP8Yk8nkHTu9R1xOfmX/Hp7u7lh9zthlH3aqNXbtjsOUjByquNZRkqxkKBllWmwRfKobaRMCGSICiqBUo993IcDzKCNJIk6HhdiK+phFlZFlkanZBK1NPsoV7YFlZtyzgSHJErIqk1xKk88UEQRw+Z209kaIdITwBF0oikQhV2J2ZIGhMxNk4jl0TWf84gzf/P+9Tuu2Jvr2dNy2IDixmOZ7f/Qmk5fnOPq5vTS0Bpi6Os/ZD65SKVaYvjrPO986jsVuYfTcFL17O+jb00E+W+D025dZnkuQzxR599snOPzS7tsaGIZuMDsa5Vv/2xv85OsfUsqX6RhopntXG76wG0EQiC+kGD4zwezoArqmMzMc5Xt//CZ2l5VnvnzotgbT3dDS6GP7tibOXZ654w2rGybHTo9zaG/nlhgYk7NxhscWalbQefZIH3ar8lANDNOs5s2fODvBT9+7wvD4IrPzyU1NrB91BEGEm40LQBDcIG/8ENA22fTKblPXTmUEAZfTyt5dbWvW87hteNy3Xvcul5UB1/oGT1/3rSkckbCHSHitkR7wOwmspPzZ7Rb6+65vz+2ysXvHraIRW4lpbC5VwWKRsVtasKnVcUZY+a8keVZfy6IPuNZbRMSubuduZxO6Ua3xsSoKz/d189HkNMNLy7w9Mk6X34/XdueJpGmaTCdTfOvsBVKFIo91tPJ7Rw+zLRxco2U/EDZp9rpJFgq8PTrBj4dGeKq7gwaXE0WS6An4scoyJjAWj7MtHESUJHTD4Nx8FFWW2NvcSK5cJlsqM7ocXzUwUoUSc+kMoiAQcjoIOu9vyk5JzzOTHyJdWabVPsBiaZLJ3EVMTCZy5xEQabH1M5m7gFVy0OHYiYBIWosxmj2DVw1jEe1spr/RViDLYs3y3+lSiYVclnaPl6faOpAEgQuLCyzlc586A8M0ofSpjDZ/OhEEgQ6/jya3G7uq1OSosCoyz/f14LJY+ObZC3w8OU2ufGvE3KrIHG5r4fPb+3miqwPXOnK2giCgSg6WS6MIiDTarwv+GKaBaZqoklJT5OJGTEw0U6s6sIR7nyM9SlgsCt0dIUYmlnjhqepz2emw8vW/+YRI2M3EdIynHltfUGmruWcDQ1Yk2vubePK1/YxdnGHfs4N07WzFH/bgcNuw2FVEUUSr6GSSOYZOTfCd//hTxi/OYJomU0PzfPzDM7T0NOC6zaQ/m8pz/sMhPvOLR3j5157E7rIyP76EzWXlvb85QaWscfKti0iyxK4ntvHa73yG5u4GKmUNT9DNG3/+PulYlvFLsyzPJWjqCt+2ZiIVy/Ljv/gASZL44u+9wGOv7MYXdmOxWxAEKORKLEwu8/Zff8L73zlJLl1gYSrGG3/+AW19jWw/0rulE2y3y0pfV5hw0M3CUvqO65+5MM1SLEPQ77inRne6YTA2ucToZG3qUY0NHga3NaE8xPQo0zSZX0zxze+f4viZCWbmE2ja342cXWAll2jj86/rRk3SrNdQFWk1P0kSBbo7Q1uqYBOLZ7HbLZSKZWRZwm63rG7fNE2WY1nSmSItTV4slo0fBlWvjLkanQptYbqiaZpUtNoNDFkSkUThljzgG1/fLElbHS/u7rwaJqsCjbsaI+xpijCdTPGDy1d5ZaAPt9VyR8GFXLnC6Zl5RmJxAg47T3V10B++VWJSFAW6A372NTdxZi5KLF/gQnSR/S1N+O122n1enJaqMtfwcowXDRNFAs0wOTs3jypJ7GhsIJrJcG5ugeHlGE91dwDVCMp8OoPbYqHB5cRyn1WwikaOjBbHrzbS6dyJaerMF8eZL45R0gu0O7bT5hggVVkkWV6kZM1joHMy/jo+NcIu7zPYpAcvxS1v4rwokogkiOQr1QhcUdMwTPPTqTD2EGsS/q5ikeVN99RxWlSe6u6g3edlIpHg8sIyy7kchXIFm6oQdjroCwVp93tp83qwKtVxPafFyFQWsEke5goXVre3WLhK2LaNRq4bGBbRgixKZCs5NKP2a8IwDfJakUwliyIouJW7i5K+dWWMeD7PvrYmWmtoKFgrS5kco0txMsVqxD/sctATDuCw1Ca17LSrfPHlPauuqlDAxZOHevirH5zk6ugCO/ubObT3Vsfk/WBLirz9ES9f/IcvUsgWCTR6cbhsq0WfNxJs8hFpD1EpVfjGv/sRi9MxMOHse5f57G8+fVsDw9ANrA4Lr/7m0zSvKNS4/U4OPr+TEz+5QCFbJJvM09gR4sire9j+WA/ySnHhwRd2cPqti6RjWSqlCgtTy1TK3bc1MAzdQKvovPDVx/jC7z2/Grm4hg9oaA0QaPShlXXe/tYxdM1g9NwUZ9+/Slt/E+4tLLIWRZHOtiDbuhtqMjCS6QJnLk7T0Rq4p87ey7EsQ2MLNYelH9vXtZKz//CiF2cvzfBfvv4BV0cWyG0ireXvCvqK0lWtyLK0Ou0VBAG7XV29BstlrWog2FRMqrUKFlXGalXI5UtomoEgCDgdFiRZRNN0FFlCvuHeO35qgqaIh4mpGK3NfpoavZTKGk2NXiYml7l8dZ6erhCZbJHoYhqf147TYaFU1sjny+i6iddjY2ximVgiC2bVw4sJDocF0zSR5ar+vKbpqKq86UaUxiYNDEkSNxSwuC/cENa0qwovbevlk+kZphIp3h4Zo9Xjxmm5/TiQLZU4OxdFMwwCdjsD4fCGHktJFGn0uPFYrcTzBcbjCTKlMn67HZui0Ob1MrocZ2Q5jr7iaUwWC0zEk/jtNnZEGpiMJ/loYpqR5ev1AqlikblUBr/DRqPbdd/HEUlQkJAoGdU87LJZwsTALrmIM0vFqD7ki3oOVbStpmEMuI8wXxhltnCVHud+5AfsBV3v0jJNk4Vclj8/f5bzSwvYZQXThKfbO+gPhvjx2Aj/03tvIwKHmlsI2O28OznBD0euMptJM5/N8IVtgwwEQ4+s8WHCz1QU+mcZRZLoCQXoDPjY39JMUdPQDQNZFLEqMi6L5ZbxxTQNDFMnVYkSLVwkaK3WSelmGdNc+8wKWwPYJRvLpQTR0hKt9kYU8c5T2qJeYig7QcXUcCsummx3odpnGPzg/BXOTs/js9vY0dzAl/fvoD8Sumc55HSxxHfPXOLUVFXWvtXn4Z+++AQDjbUdpyxLdHWEVh1KqiKzZ0cLDSEXpZU04k+VipSiyjS01lbwZnNYOPq5vbz3nZNVAwOYGV6gfAetZ1mVaOoKE2m/3o9CUWXCLX7CrX4mL1d/jJbeCB0DzavGBUBTZxin93r+XiyaolLWsN5h4u0Le/jsbz2zYU2FJEs09zRw5NU9jJ6fYuLSLJWyxrn3r3DoxV1bamAANEW89PdE+PjkWE3SdR98MsrzTw3ck4ExNRvn6sjCHdOyoHphHz3YhcP28JoavfPREH/yFx8wMRPb8jxDVZFwOa24XTZcTit2q4LNpmKzKKgWGasqo6oyFlVGVWQslut/M9kib75/hTMX71xDc78xVzuk1rj+Tesahkk8kaNQKHPu4gyZbJHFpQxej23VeGhu8jE+uYSmGeTzZQYHmtB1A4sq0dEWXGNgmKbJzFyC2WgSn9fB6XOThIJuIg0eTpye4KnH+/C4bKQzBWbnE5w5P82Lnxnk8pV5ZuYS7NzegstlZTmeYWExjcdlI5cvs7CYpn1lXHI4VJKpAn6fg9ZmP3czf9rUOdv85reUA61N7IhU1Vz+5sJlXh3ow6Gqt42P5CsVJhLVWrPJRJL/10/fwaluPHGOF4qrXX5ThSIVvTomCYJATzDABxOTjCzHqgpfwOWFJSq6js9uo83roTfop6RpzKTSZEslbIpCPF9gOZ+nzddIo2trI1BpbZlPYj8kWhhDkSwYpkav6wAN1k4upz/ih3P/CUmQ6HLspsXWR0nPM5I9ydXMJ8iCwg7vU1glByAQsXbSbOvlWPz7WCUnbfYBxLtskriVeK02fm7bAC91964qfrlUC9tDYUJ2OwVNwyJJhOwObLLCYChE2OGgYhhYJImww7llntj7xSMt7FfnFiRRxGevLWXcJntRJQep8hwt9j002/cCIKOiSmsd0N3ONryKm2QlzU+i79Nma6TJdntpfMM0mCss8vbiRwD4VDf9rs0XO88m0owvJZhJpJlJpBldivPMtq4tGfcjbieyJDKTSKEbJvPJDMOLMbpWatvuhCAISMKNkfKqfHxXe2gLjm5zPJQ+GN6Qm1CLH8UiUylp5NIFKmXttjKTiqoQaQ/d4nm0uax4g24mqRoYgUYv/pvkJ50eO8oNqRX5bPGOKSKKRaZ7VyvN3be3GiVJpG9fB53bW5i4NAvA6LkpYvMJena3bakHzqLK9HSEaWvxMzJ+Z0Wnq6NRZmYTBHzOTUtVQtU7PTa5zMRM7M4rAwO9EVqb/Jv2Dm8V73w0xH/8s3eZXqcgfzNIokAo6KKjNUh7i5+mBi8NIRc+jx1VlZElCVkSESUBaUU2tfpPXJWJvCbPKooCoiAwt5Di7CNgXACrqhK1omn6LQOngECxVOHy1XkcDgulkoaum3R3BZmPJkmm8qiKTEPYQSqVJ5MpMD4ZY+dgM8pN/VlUVWY5lkWVJaKLKXZtb6Gp0YskChQKFXweO5IkMjkTY3omQTyRxTBMTEwiDR6aIh4URcLtsqFpBg67is2uosjVvP9wyM3UdIyxiWWOHu6+q+tTEIRNpaXouvlQJY7tqsrL/b2cmpljMp7kndEJfn73jtv+7pphkCpURTrylQpXFmtTjQOo6PqaJod9oQCqJDObTJMrl7GrCmdmo8iiSHfAj11V6PD7UCSJVKHIZCJFi9dNNJ1BNwyCDjuN99DDYz3skod9vhfIOPOcWp7lzJLJTq+DRlsXbiVAxSwhCwp2yYNFstHl3EPE1oVuVjgXW+KPLw3TaF/m6aYvEbA0IQsKR4NfrKZI8fAn5YIgYJVlevy3OvsUSaLDe6v6T9DuIPiIS9PejLKJ5q2yLBIOuHBvcU3kg8LpsDwwb/OjgCQoSIKCT23FozSuGhWdzqO3ZI/2OjvocbUzX1zkUnqUPx7/K15seII93gFs0traIhOTiqFxNnmZ78z+mNnCAg7JxqC7lybb5rt3Dy8uky5eV/S0yjKdQf+aif3dYlcVOoM+vHYbsWyesq5zNbrE0e42LM47T9l1vSqp7rRbVlOKc/kSw2OLFIplersaPl0RjM0iiiIOtw1ZkaiUqoaFVtYxzY2lKCVZxBO89aTIioRqu248ONw2HDcVmiqWtSkRlWIF8w4Pf9Wi0Lm9pabeFoGIl8aOEKpFprxiMC3NJigVyneMkmwGQRDo7giyrTtSk4FRruh8dHKMbT0RnI7NH0d0Kc2VkSjlcm0h6aMHujfUZ7/fXBya54+/9j4z83dnXFgsMt3tIQ7u6WBnfzORkBubTUFdiUYoStWouNvvdi+f3WokSdzUJLtS0WGl38WZc1NMTMdwOFQsFoW2Vj/TM3FkWUSWq+oVsixiGCaKKuGwq1Q0nUymgCyLeNy2des3srkSzU0+XA4rJ89OMjq+xGee6ufwgU7+8tvHCQXdFFcaHl6buEuSiNUqrw6ikigQXUihKBLtrQFsNpVKRcPrsXF1uILDruJyWu+qfkQQhE3VFema/tB7qDzR2U5fKMhiNsc3zlzg5f6+26a+mCarXXUjLidPd3fgvkNa1TVavF58tuvjbm8ogCpLVAoGU4lqWtS5+XlkSWJ7pAEBcFsttPu8ZEolRmMxPFYLs+kMkiAQdDg2La97OwRBQBFUApYmLGIJRShT0JJIgowkyHjVWx1JVsmOVaoew+FQmExZZSaXwimHUMTqefGrd9e3pM7dIQgCqlr7tMXttPGlz+7jyUN3J0n8sBFF4Z4yED6tiIJ8gyqbiSxab4m+WiSVlyNPMVuIcjU9xqX0MDP5eTyKiwZrkIJewsRkODvBvx/+M+aKiyyX4iQr6WqU1dXOS5Ena0qrupmJ5QT58vX0612tjbhtli15xguCQHvAR9BpJ5atpm6OLMbJFss1iV5kskX+7JvH8Hsd/NrPP0YmW+T1ty/yje+ewDBMDu7t4Fe+/BjNm+gDdbc8tE7e0k0TrjtJhkqSiMN96wOn6im+PllSbSrqTcpJgiiusVyMlZD97ZBVmYa24B3WWjk2WcLX4MHhdVBeSGGasDQbp5AtbamBARDwOenrbuD9T0Zq0uV/79gIv/Dagbtqejc9G+fS0HxN63rcNvbsaMX+ENKjEqk8/8d/e4fp2fim0lgA3E4rh/d18sLTg3R3hLBbVawrBumjYhBsNbIkIkm1f7dcoYRJ9Rbq72ukoz2IqspYLQpHDnazb3d71cMvi1hUGb/PjoCAaZpIskiLZnDm/DQdbTYa1kk3PHKomwN7O1CUap3E9sGm1YlEb3cDjREPAgKSJFaVzITrHcNvvK97uhtobvKBAFbLiorZSv2FAPT1RPB5727SWpXLrd0oK5Y1tE3UbNwP7IrCZwe3cTG6yMhyjHdHxznQ2ryxE0cUsK0UW4adDr64czu9GzTUuvWzItYbwvcdPh9OVWUBGIsn2NkU4fLiEooksjMSrtbyKAp9oQAfTEwxHkvQGwxWC7ytVhrdrvuaqqMZOqeWZviXn/yQimHwTFM3r7YNMJpa5m+nrzCWidFod/Na+3b6vWGcigWfxUY0n1ndxnBqiW+Pn6eo6ywVs+wLNvPrfQfvWExf5+4RhGpOea0YponLYaXpAUym6mwdc4XzJEpT7PS9BsBE7iNEJLpcT6yuIyDQZm/il9u+wJ9PfYehzDiJSopEJcVMYR5tRX52vrDEUilOxdAwMZEEiQFXN7/S9gXClrvrZRNNZyndUAu0p7VxS+uWIm4nnhuU/6KpDIVKbb2riqUKl4bm+LmX9wAwG03y7rFhnjrSR29nmLc/HOLU+alPp4FRzJeYGVlg5OwkMyNRYvNJsok8+WyBcrFMuaRRKWkkl6pdvmtFEAUU9fY/oCiK63qK70abRRQFnJ7aJyN2l3WNMVHIFNHuQzGaJIn0dobpbg9y6vz0HdePLqa4eHWOJw73oGyi03g2V2J0conoUqqm9Q/sbifkf/BqKgDf+sGpqozuJjzGsiSys7+Zr37xEDv6m7BZlZ9po+JGVFW+JU3pdiRT13qGCNhsCjbbdQliq1XBumLQX1sm33SdzcdTuN1WmiK+dSfpdpsKNwQdqxGJ6m+pKBLem+7Da/u5WVGqWvsirVkHYGomRiTiWam9uLtJqyQJ2K21G8+5fOmhF6MKgsDzvV1848x5Yvk8Xzt9jv2tzRuur0oyEZeT4eUYRU0jWyrjvksZU0US6Qr4mEwkGYslmEmmSRdLBO12BiPVaIFNVegNBXn96ggTiSTZcpmFTBa/3Uaz5/4WeJd0Dbdq5Z/sfIoTS9NcTS6yw9fA8aVpAlYHX+3Zy3cnLnJ6eZaI3YVXvTXFpqzrXIhH+X/sfxGPauUPPv4+n2nqpd21cSOyOveGKAg47LXfh5WKvilxhjprmU2mmYgn2NfatOp8eBAYRgXNuNZTTUAzSojrKCNKgkSfq4N/3PPrvLX4IW8ufky8nFw1LgAMDMorkVmP4uKFhid4LnyUgMW3aXnba1xLXbpGd8h/V2noGxFwOtbI9i5nc5RqvI513ahmBES8FIplro4sYOgmrz63E6sqc3koSnSxtnndvbIlBoZpmsTnk7z5zY9551vHiU4uo2k6umZgGsZqZ8Gqd3lzBabXEZDuYCEKolCNVmwBgiisqdu4E6qqrDGAioXSaqO/raa7PURPZ5gzF2bW5D2vh2GavPPREAf3dGzKwJhfSHLhylzNaR5H9nfhdds39I7eL8Yml3jz/SubUouyWRU+8/g2fuMXjxL0O2+ZEP+sY7epm5osV2VfrwULbjLea/jBw0EXoYATsUYD7ub9bGaiud66zY0+TKoe+rtOcZMl3Ov0+NiIbK70SOj1O1SVz2/vZ3g5xsXoImdm5zccM5wWle2RMO+NT7KUzXEhGuXpFfnYzSIIAn2hEO+PTzKVSHB1cQkRga6AH6davfauRTA0w2A5l2MqkWQxm6UvFKTJ7b7br1wTdlmhw+UjZHXgs9gRBZFoPsNwaokzsTnemx+jqGscbWhfLV5fjwa7m6DVjle10exwM51L1A2M+4goiQR8tdeMFIplCsXybes762zMlcUl/vD7r9Ph8/FSfy8vbOuh3ee57+fSxKRiFijrOQRBoqznUKX16wYkQSJs8fPF5pd4MfIkY7lpRjOTxMtJcnoRq6TiUdz0OtvpdXbilO2o4r316SpUKmscmiGXY0sjlw6LsqagO1+u1Kz8KAgCFlXGNKqS7eevzNLZVq0njSdyCCIUi7VFQ+6VezIwTNNEq+ic/2CIP/nvv8nE5Vl0rVpLgVANYQmigNVhweW1Y3fZsNpVLDaV2dFFYtHk9WLrO/02AhsXaNwPTDbVK8Bkcyoz94LNqrCtO0JjxMPsfPKO6394cpRMplBzmpRpmsxGU1wcmqvpeLrbQ3S1h1DvEGHaakzT5I13LhFL5Gr+jNWq8Ozj/fz+bzyNy2l9YA+daoeGR0P+xGG3YLfVbjzPL6YwNiFrezP3UvR/Y+rkZn+ra58V78GwuIYiS/g2EdFMpvLkH9AgfjsEQeBzg9v4+ulzpApF/uL0OSq6se7D0GO1cKSjja+dPkeiUOSD8Sme6e5ksCG8uq0buXZ+V4b7W97vDweRRYmZZJrLC0tIosiuxsj1SJcoEnE58dttpAolriwukyqWViIY99fAEAQRWZQQBGH12F2qhRaHl05XgC927gTTRBJFLJKMYZoYZlVYoKrCVv3us7kURb3aRX0ym6DRdn+P++86kijg9zpYyX68I4Zhks2VKJa0e246q+sx8rn/ila5gNX+FWy2z971tsqlT9AqF7Hafx5RfHSLuHXDIF0scX4+yuWFRf7k2EkOtDbxhZ2DHGxrxmmxrJEw3yqCli4Wipf59vQ/Q0AgYhtkl/NLG64vCAIWSUUVFfZ53ezxDKzcqdebnIqCiMi9PwvgVlELm7q1jYVVSVqTIlreRE2fqsqEg26+9+NzNDd6GZ9a5rd/6XEkUaRQrFAoVu46VXiz3JuBYZhcOTHG//pP/5ToRLURmyiJNHeGOPzyHvY9O0jHYDNunwNBEtfYEP/+n3+Nn/7lR5Tyj2afAsMwKRVrP7ZKubIm59pqU++bZ1wQBPp7InS3h2oyMAqFCh+cGOPnXt5dUxQjlSkwPL5AOlO847oAh/d1EvA57ttk/drD/ObtJ1J5jp2eIF9j9EIUBXZsa+Lv/9LjD9S4ADAN46Hn5F/D6bBg30Rt0NSK5O/D8AKapsmVsQVSmSJHNtkcaCmRZWImTkvES1P41tqPzbBeqtZt9x3LkM0VHwnPqVNV+dLO7fzbxIecnq3WVK1nYIiCQG8wwFd27eC/Hj/FqZk5/vVP3+X3Hz/M3uZGJEGsPq3NqrGcL1e4uLDI2HKcZ3o6afN512yvPxxEkUTm0hkuLi4iiQK7m64XRQuCgNNioTcYYCyW4OzcPLIoVjt4b2GB93pIgoC8IisrCgKyIOJRbTwe6eRvJi7wTz78GwTgF3r28HhDB381dpafzg6TLpe4nFjkN7cdRACcisr/cvZNYoUch8NtdLprq1mpc/eoqozPYyeezNe0fipTIJcv3WJgVPsqaEC1oNg0y1QblIpAeeXvNceKiij6sTt+mWLhe2DePjppmvrKZ6WVbWtUTXEZ0FHUXSjqLsCysr4JVG7Yn4TwCHWYNoGKYRDL53nj6gg/GRqlzeflhW09vDrQR2fAhypVa+i2YryzywEOBH6FXb4vYZo6quioSQa66jAQ7jr1qVasioIkCqtRjEyxVP0Nt2isL2v6quAGbE4kxu2y8vkXd/Fv/vcfc+r8FC89s321sV4skSOTLTLY27glx3kn7snAiEWTvP5n760aF6pF4ejn9vJr//ILNHXV0BTk0XDorouhG2TitXvG8+kCxez1CbnNZUPehNrFZmlt8tHXFebEmYmaPKVvfnCFV5/bcccL1TRhcSnDxau1RS/sNpW9O1rxbiJ95NZ9mrcoiJnXQkICVEoaCFWp4hsVgM5dmiGdqa0BIEBDyM0XXtmz2uHZNA1MVrT7kTc8L6ZpYlJBWHn43M0AqhuPTgdaj8uG21l7bv38Ypp8vnzfCvh1w6jK3K4MqLIkYrVUm4RlciXe+WQYn8fBjr6maiGytfpeuaKt5ldLorgiISxWu25XdK6MLnB1fAGrKuNyWLFarr0PpbKGrhuYmKhKtXbjdr+rRZVpCNYum5pIFUimChiGuamC+vuBIAh8YecAf3H6HLlYfMNhVxAEQk4Hf2/PTmZTad4aGePY1Axn5qJ0+r10B/xYZZl8pcJ8OsN4PEGqWGJXYwN7W259YLX6vLitFibiSU7PzCOLErua1qouOVSFnmCA49OzpIpFvDYrLZ77m4LhVCy82jaw+vpQuI2DodbVCOM/3/0McD3iWDLK9Afh2ZYnabY1rTbbuxiPErI6+YPdz+C1fDplUD9tXFNza2701WxgLMeyJNP5W6Q5dW2EfO5PsTt/B1luJ5P6V1isr6JajpKM/0MUdR+adhkQ8Hj/3wiCnarRcefJa6VynnLpfSyWJ1HUXRTy3wSKWKyfpVI+RSH/NSS5DafrDxAEN2CQTf9rNG0cEw2LehSH6/fYfPXo1iKKIqokUdGvS5WbgG6ajMcT/KePjvPfjp9if0szr+3o57H2Vnx22z0bG1VDQcIqVcfcnBZHQMAu3zn90Kx6QDa9v83gslqQRRF9pYP4cjaPYZrrVIncHdlSmeINNXxOi1pzjYeqyDx+sJv9O9vIF8v4vc7VuVVrk49f/tIhmhq8W3Skt+euZ8CmaZKKZTn19uXVZV07W/n87zx7R+PCMEwKmSL6I+LRXQ+tohGdqE0H3tANEotpsqnrA16o2YfNef/k5QRBYKC3kbaWAFdGondc/8KVWeYXkndstmKaJvOLaa6MLNR0HLsHW2hs8KxR8tosxVyJXKaI02OjmC+jWGRyqTzZVAGH28bFY6MIosC+pwfwBK4/JC4NzZPL1yYUIEkiHS0BjuzvAlbS+4w4mdIpBEHBbTmMiIXqyCRyLakJJAwzTyL/ExzqdqxKJ9zFMFKuaKSztUWE7jd+n6PabZ3axmHDMLk0PM+T/p77MvEbmVjia987wexiCk3X2TvQwu/84uNk82X+w5+/w8kL09isCu8cH6E57OFf/u5LJDN5vv/mBd4/OYpumDQ3ePm553ayf0cbhWKFtz8Z4q/fOMtyIscHp8awWVV++ytH2L+9len5BN/+8VmGJhbRdYMDO9v4xVf34XJsHNWyWhSaG30IgnBHxTuoXl9Tc3FSmQJ+78PvM+CxWvnCzgH+/fvHKGq39752Bnz8i+eeosnj4oeXh0gXS4wsx7m6uLyaciCJIrIo4rFaiLhcWOVbva2SILAtFGQ6maZQqdATCNzS28KhqvQEAximSVnX8druf3rUehSNIslyCgMDp+xERCCrZTEw8SoeLKIF3dQxTGPVwJBFEbf6YCOhdarGfmdbkPOXZ2tafzGWIZmqzRi5joAkhXC6fn/zBwgoynbKxTfR9Slkswetcg6L7bOIYgCr7SVAolI5tWZ/duc/QhAkDD1KKvmHOFy/y8M2MLaFg/zm4X28NzrBTCpNsaKtKW4GKGk6H05M8eHEFBG3k+d6u1ejGk5VXa0lqOU+MUwdw9QQBAnNuP5sn8mdRBatdLueXLO+aZpUTI2yUUYzdAwMTNPE2EStr0VS8Cib67njs1lRJGm18Pr89DxP9LSjbJGS1EwiRTx3/Zr12KybUqkSBKHaBPgmp2DQ73ygfVXu3sVuQiFbJB5Nri4KNvno2dl+x4+m41kSS6n7VgS9FZSLFUbPT6Np+h1TnWLRJNHJpaqnnaqiVLDZj+U+S7Zu626gsy3A0NjCHfPzTBPe/nCYjtbgbT2q6UyBofGFmibuoiiwf3fbPV+wqXiOsYvTWO0WSoUyvpCbqeEoiaU0LV0NlIoVHC4r8g19CEzTZHImTrHGQlqX08qhvZ2rEocmZXKl8xQrw/gdn0cQJEraHLqZQhGD6GYBw8xjkZuRBA+iaMOkgomxEsnYHKWSdhcPufuDRZUJ+p047BayNRpoZy5O8/jBbu6Hcujx85O0NHr5ra8cIeB1kC+WsaoydqvKv/wHL/Fv/uSnDHZH+MILu1c/Y7eqPHmwh2cO9wLw+vtXePfECPu2V6WSX316BxZVYWh8kRce76dnxbDWdJ3/87vH2dYZ5gsv7MIwTP71f3yd/q4Gjuzt3LCZniSJeN02Aj4Hy/FsTd9rfGqZZCp/Xw0Ml8VCs9dNoVLBcZuu2wBf3rmdH18dJVEoIIsiPtvGUaxmj5s/eOYJvrB9gJ+OjHF+foFoJkNJ07HKEiGng95ggIOtLexvaVojqXgj+1uaGFmOoxkGT3S23fK+baXQu8PnRTdN+oIB2m9KtXoQzBeijOfGERDxKG4QIKflyWt52h1t6Mat48w2b5g/3FNDpL7OlqIqMp2ttcuLzi+kWIxVm3Ou7YEjsJqSZJqYRolVl4sgoii77voYBUFBVgYx9DmK+R8iihEksfGG3g5rMY0U2cz/jCDYMI0SppFbObaH28Cx1evhnz3zBH//sQOcmJrl9SvDnJmbJ54vkC9X1qTxQFW+9c9PnuXrp8+zp7mRV/p7ebyzHb/dVvXCi7fPAMhUFoiXJ7FLPoYzbyMLVSdtvDxBm+PgmnUN0yBRTnEycZFTyYtM52dJlNOUjcqm6h0P+Xfxh/2/W/tJAbrDARwWlWypmp790fg0v3p0L/YtqMXQDYMr0WWiqeuS2K1+L/Z1xvd8JQordWQgYJF8GKaGbpawSN4a91eiYmSrUvOiE0nYunnrPUUwbjYQJEVCvkOhr64bnH33Mksz8bvd9QNBq+hMDc0xcXGWnt23PhivYegGw2cmmbh43ZvSvauNQMR73z1bHredbd0RTpydZCl250nPu8eG+KUvHcJ2m1DbcjzLhRo9Q5Gwh23dkXtuBBRs9JCOZzn1zmU6B5urqmQLKWRFxuGxUaloeIKuNf1NCsUyyXSu2hehBhw2lcG+m9I4BBlRcCAKVgqVUfLli1T0JUxAlUKUtHnc1oM4Lfvv6ftdKzRc3kTK3f0mHHTj89prNjBOnJ2gXNHvi5Tvkb1dfP0HJ/jLH55k17YmdvRtLKUK1bEnnS3y7vERJmZiCKLATDRBV2tw3ZqHGx81qXSRmWiCkclF3vlkGACrqlAsVu7o8bLbVFqb/DUbGCPjiyzFMnS0Bjds7mcaCUwjhSC1AzqmPgOCG9CBCqLUhGnkMI04gujFRKv+PzIICl/e2cVXdm+v6XhCTgff+o2v1rQuVLs/D0bCq7Ky6x6/WcQ0C5imiLDOg+k3D+3nNw9tfP+IgsChthZ+/Lu/WfNx3Q9MTByyE6/ioWyUyek5vIoHj+LGME3yegGbXkA3dWRz43TKOvcfiyrT1RZClkU07c7jfyZbZGYuQTZfWpMaKghOTLOMoc+iA5oxw/UaCLgxelCNWpYx9CiGkQQkDD2GIHoQhPWnUap6gHzuz6iU38Hm+CqSFAFMdD2GYcQwjQy6Po8gqFS0y5hGFof7H6Pr01QqZ+/izNw/PFYrz/V182xvF7PJNO+MjvP2yDijsTipYpF8ubKm6Fk3DE5Oz3Jyeha/3cYzPZ28tK2X3lAAj9WKw6KuWwemig7cSiM5bRnT1GmwbwPAMCvIN40vS6U4fzr5bU7Gz1NZqYkREau1YpuI/Eg11HbczPamBjw2Kwvp6rPg0twi71wd5+f2DKLKt0+3vR2maTKTSPHx2BTR9PXnzPam8LpOnPfnfw+32oWAhCRaGfD9A9LlUZYLJ9kZ/L/WtM9MZYyJzHcwTZ0u98/jsfTd1bGvx10bGIIoYHdasdjV1ULtTDzL4nSMxs71H0haWWN6OMpPvv4RC1Oxu931AyO5mOF7f/wmv/mvvoQneKsuu6EbLEzHOPb6WSZXahZkRWLn49to2ISH5V7Y0d9MW7O/JgNjfGqZianlaoOyddANg4XlDENjtaVH7dvZSkPw3tMZJFmqdmW2qTR1hnB5HaTjOeKLaTwr0ZHF2TiN7UHCLdUiykQyT7lcewTMYpFpafSuvhYFC4rox5CyqFKYkjZNWV9CRMakQkVfQhKsCIK1+hAy8mhGGtOsYN6mXmM9iqUKcwspiqWHryp0jdYmH+Ggm+m52jqfT0zHGZlYZGf/7Sf/d3UsES9/8NvPc3VikR+9e4mffDjEf/ePX8HlqA6ooiBQucGQ1HWDoYlFTpyf4r//x69isch860enmV9Or9muIAhV5Z8bonuSJGCxyPzyawc5vLsq3VwqayiydMf6PLfLSl9XmNMXpmr6XkuxLMMTSwxua1r9LjdTyX+bcv4bOELfxzSWyMf/Aar9Sxh6DEOfxeb7d+jlk5Sy/weq41cxjSjl/F8hyb0gWFCsn0WyPIFwFw/JrcDQZjC0K0jqPgSp6aEcw1YgAPFynEwlQ7O9CTt25otRwKTZ1oJmaswV5glZQqiqivCQU1f+LiNJIqGgi/aWAKM1pjEPjy8QXUitMTAkOYKi7KKQ/xsE0YEib0cUq2IQstQGwo2OMxNdj1IsfBtNn0PAiiBasVpfQRDWF5AQpSCS3IKuLyDJbQiiHdApFX9IpXwaw0hTyH8Dm/2rKEo/RcFOPvtHCIIL1fI4Dzs9aj1EQaDV5+FXDuzhK7t3cCm6wJsjY5yYnmMulSZZKFLStDVOnXi+wF+fu8S3z11iZ1OEF7f1cKSjjbDTgcdqxXpDTyab7MEme1AEK1a3i7CtamAogu2W6M9HsdNcSY9SMTXcshOv4sajurBKVuRNFHn3ODs2fR46gz7a/B7Gl+Orz6b/+O4ndAb97G5tRLkLR5xhmiRyBb5z5hKnJq/XwDotKoNNYVzrSMsLyOwP/48oYjVKrptl0uURdLNItjINmKiiG1XyohslSnoc3SwjCgoWyYss2vFaBmg1S8SKa43aohZHM3OYpo4k2rBKwZoK7W/k7g0MQcDhttGzs42Lx0YAmLwyx1vfPMZzf+8oLp8DZUWLt1yqkEvlmR6a53v/+S3OfXAVWZUxDHNTUrAPEkEAwzD44PunsLmsPP+LR/CG3KjWagisXKywNJfgzW98zAffO4W+4knpGGxh9xPbcAceTJ5bV1uAzrYQF67MUSrfSdkC3v5oaEMDI5stcXU0SjZ3Z6+21aKwa6CFoP/e0z+0io6uG7T0RmjuDCNKIoee34FJ1RstCEL1Ornhfi2WtJpl2wTAZlFxOdcWYkqiHVmqFo1Z5Q50JU3FWEaVmjDMHJqRRpECGGYB3cxRrExgVdoRBSubGfzTK6pcjxItjV6aGjycFoWaz+Prb19i+7YmpC323g5NLqJpBqoi89ieTr7+gxPXlcNEgYagm4mZGFdGo9isKk0NnmrnaIvMzEKSbL7E0OQSvpuEBjwuK+WKxvDkIiYmTWEPbpeNXduaOXlhClWRcNqtxFM59vS33LGBl8tppa+7AVkS0Woct06eneSxfZ047ZaNHziChKnPYxpLCKJ3ZVk1fcPU5zCNJMI1KUvBhmJ9FdX5f6Gc+6/o2mUk9QAIt96HhpEEM48ghhAEBUOfB2QEMYCpT2GaxZVz7EOUGjBNfSWisrxyCM4Vo0HDNGKYRmpl/QCCGAAzCwhIynYEsXofmUYB01hYUc3RQFAQpQ5AxDSWMI0EICCIHkSpoaZz+CCQBYV2exsD7n4EQeBqeog+Zw/tjvaVgtPBh32IdW7A6bCwd0drzQbG1ZEFJmZidHWEbiiWFbA7f23d9V2e//ua14IgIsvtuDz/3aaO02b/eWz2n79hiYTd8WvguHW/Ht+/2dS2HzZWRWZfazP7WpuJ5fJ8MjXDu6MTXFlcYjGTJVEorkmhMoFzc1HOzUXxWq081d3B092dbGsIEnTY8VitCIKBYWq4lDAu5bqjutm++5b9zxUWyGg5rKKFzzY9y2fCR/Eq7i3tR7ERFkXms7v6uTS/yFyymso0l8zwP3zvp/yzF59kZ3MDPocNqYacYtM0KVY05pJpvn/uCn99+iKJ/HXxmqM97fSEAhuk7xqkyyNIghVRkHEorZjoZCoTTKS/TcVI41K66XB/gXR5mJnsGxhUEFEJ2Q4Stj+2YUrUcvEEieIFKkY182J74B9ikXxsZu5zTzJH3pCbo5/by+iFaYq5ErH5JN/5T28ydXWewcM9uP1OdF0nHk0xcnaKCx8NEV9I0dQVpnOwhUvHRogvrHQUfMQUpawOK7se7+PMu1f4/h+/xcmfXmT7oW5CLX4ESSQ2n+DyJ2NMXplbLVb3R7y8+MuP07O7/YGF0BVFZmd/E8dPjzM5e+e0s49OjvFbX30cyzoKV/FkrubCub6uMO0tgU11hN6IaKsa2wAAMtlJREFUUr6MapHZtrcdcWXwF0RhjZdQvCmtq1LR7thk8BqCKKCq8i0eaqvSuVK0DYoUwGN/uro+wmoO54pKPg2uX76br4ZhmCzFsly8Upsq14PC6bDS1uLH47KRqLE25J0Ph/jqFw7S0ri1jcSWYlk+PD1GqayhKjK/9PkD2Fa8NZIk8pnH+vja90/w9R+eoq3Jx299+Qi9HSF2bmvi2z8+SyToYntvI27HWsOvryPMbDTJqYvTnLk8y5df2kN/VwNfeXEPP/noKj9+/wqFUoWgz8FgTyN3MpVVRaapwUtTxMtUDfcawPnLswyNLtDS6MO6QeNOSd6GXjmNaWSRlKq6kSDYEKQQeuUUphFbmaQDpo6hz6OXPsQ0EkhyP2zwgDC0EbTij1Edv44gRShn/zOSug/Z+jxa8ccYehSTIoLgwer+A0wjTiX/LQx9DkGQEZVeFNuXMbQxKoUfgZkEBCTLU8iWJzH0aSr5b4NZRHH8OpLSi6FPUc7+BwQxBBgY+jxWz/+AINgp578GRhYTHVH0oTp+G0F8+AXwAAGLH7fqXpW3bLRFkATpvstd1rk7HDaVXQMtfOf1szWp8yVSeS5cmWX3YAsNoXqvkq0m4LDzykAfL/X3MhaL8+HEFB9PTK80z8yRKhTXTPGSxSLfvXiFH14eojcU4OnuTp7p6aS3QSZdmcentlE28njVasR8vdoVSZAQEQhbAhzw7cSv3psU+WZ5qq+Dn14eIZYdWS32Hl2K88+/9SO+tG+Qx7vbiXhcOC0qNkVBlkQksapyqBsmZV0jX6qQLBQZXljm9YvDHJ+YWaMeFXI5eHlHL43e9YvQTQwm0t9BFGQU0cGA//cAsEhetgf+EanSMOPpvyJdHiFZuopDaaXb8wtEc++TLF/FrXbhUFpu3a5p4LMM4lK6QIDTi/8jmpFHFX2bUuK9p9mhw2PjsVf2MHJuiuNvnCebypNazvD2tz7h7W99csv6iirTMdjMl37/RRo7QsxPLF03MB4xXF47X/r9F7A5rZx6+xLTQ/NMD82vu64oiYRa/Lz8q0/w+Of34bgHyda7YXBbEy3NPqbnEnecdM/OJxiZWGR739p0Bl03WFzOcHX0zp52URDYNdhC4z32FriG02vHucnGL8IGOe3rYZrU1ChOuKGgbqtSIIrFMkNjCzWnIj1ItnVHaIp4azYwMrki3/7hGX73155CUbYuJefZx/p49rH18z5FQaC92c+/+Acvrlke9Dn5tS8cvu12XQ4rrz23i9eeW1us6XbZ+NKLe+DF9T93O4J+BzsHmms2MEpljbc+uEp/T2SDWgwBUdmOXq6Gp0V5G5hpEOyIohW9fA5BsCHKrSvrVzC0K5Rz84hyJ5Ll0IZ6+ZKyi0r+G5h6FAMRQx9HVf8BICKpR5AEMI0YpfS/rUYv9Bn0ylls3v8FQbwm5ayhV84joKG6/hBBtN2w/e2Ytjx66eM1+zWNNBbnP0aUu8kn/iGmPo2Jglb6AJv7X2AaKSqFb2LoU0jiAI8CDnmtoeNRHuxkpc7mUJSqklRXW7CmZxbAJ6cnOLing4DPcd96VP1dRxQEeoIBeoIBfmH3Ts7Nz3NsYoZz81Hm01kWs1mShetqipphcHlhicsLS1yMLvI/vdbLVO44JT1LsjzNdu/nVteVBBVZvO5M6XG2cy51hbxeJFFO02LTkMX71xrgZuyqym8+foCFdJbTU/Or0ZpsscSffniavzpxgcGmMO1+L40eFw5LVVHLxKRQ1kgVCszEUwwvxpiKp6jcpM7ltln40t7t7G9rXtPV+0YEZHYF/9maFCkBEVlwUm0uKCMJVipGGhMdZWVcl0QrAiK6sb6yZdlIM539UTU9SrBS1OMrvV02xz39GoIg0NgR4pf/4PP4Gzyc/2CI5bkEuXSBcqkCJsiqhN1pxRty0z7QzHO/eIRdT2wDTDwBJ4IorMmRflQwTBO7x85v/Ksv0dTdwOm3LrI0myCbzFEpayAIWG0qnoCL5p4Gjn5uL0de2YP3IXhHGoIutnU1cP7y7B2b4+mGyfvHRm4xMPKF6kQ4U4OUqt/noL8ngucBG1I3YlHlDQtnb8Y0TQrFCrpu3FNX6c1iGFXJ33c+Gqo52vIg6e0M090eYmhsoSYvoGFUO6c/fqibfTs3Fj74WcbvdbB3RytvfXC15gaPJ89NcezUOKGAC9c6/UdEqQmtchIEJ4Low9TTCCggWjG08yA2IQor44pgRbY8i6QeQit9gKHNIIqRdRs8CYKKrB5BL58GTiOpRxBEJ6YepZz/U0R5G6aRxjQLgI5plhEECwjXjtEENDD16rJVQ+batbz+/SdITSDYquomggvTLIFZACOBVnqbqlG1+4b91KmzOQQB/F47Tx7uZWhssSbp6Nlokg+Oj9LdHqKx4f72WqlTTaE61NbKobZWMqUS5+ainJye42J0gWgmy2ImR6JQWH02GqaBLFowTI1o4SI5LcZ49qPV7YWsPQQs15ut7vfvJFpc4oPlk7yzdIyyUSFiDWKXbSiCXHP0URZk7PLdjUWDTWF+58mD/PF7Jzg9Pb/GSCiUK5ycmOXkRG1ZITcScNp5cbCHL+wdJOy+Xbq9wXLhJJJgQRBkPGovJgYlI06seJZcZRpBkHCpXehGmVR5iKXCSdLlURTRiUXyk6/Mky6Pkq/Mk5JGsEg+ykaakh7Db92NVQphyf2Yu1E0u2dzT5REWnoj/Mofvsbo+WmunhpncTpGPlPENEysTguBiIeOgRa27e/EF3av3tiPvbIHf8SLrum4/I5bnpGqReHZn696KR1uG5H24C37d3rt7Hp8G3aXFVES6RhYpwhVENj5+DZsrupF1LevA3WDdIVrmIZJKV+md3c7v/hPXuHIy7u5fGKM+fEl8tkCoijgCbho6W1k4GAXkfYg0kPyigiCwJ4drbz/ycgdDQzDMDh+ZoLf+MWja9KkkukCZy5O17S/7X2NtDb7a57g3w8cdsuGkqLrUa5oJNN5Ar4HpwGdL5Q4fnaC81c2P8A8CJwOCzsHmjl5frKmjvAA6WyB//Nbx4iE3DRFvPf1+B5FVFWmszVIf08Dp87Xdr9UNJ0f/PQ87a0BDuxqR70lPVFcMS68NywTqhN6wbkaTbgRSdmOXrmIXjmDpPQgCOunrUmWJyll/g2mvoDF/YeAulILkURSBjCNGHr5fQQkRDEEghOt9FMEwYEg+hHlPkSpEU2fQiu9hSBYEaVWBKkFU5/BqFzG0GcwKhcQxKr61bW0wjXfUO5GUvdX60UQAQui1HrrAdepUyNOh5W9O1qJhNzML9aWCfH+sRH6uhp48elBnI7716eqzlpcFguPd7ZztKONVLHEB+OTvDk8xidTMyxkrgvUuJVGWh0HmMh+iGaWKGjJ1fdu7IsB4FVcvBx5Cs3UeGvxY65kRmmzNRGw+LBL1pVoxp3nKC22Bp4MHbzjehvxZF8ndovKXxw7yyfj0yxl716OXpUk2gJeXtzew8/tGaTVd/tIaoP9ceLFc4CAJKq4lHbschMh60ESxfOY6DTan8YuNyJYJSpGhljxFKroI2jbjyK5yRTPU9KTyKKNorZIUY/hkJvxqgPkK/NU9AyNjqdRpM3PnbYsnmRzWtlxpJcdR3pr/sxrv/OZDd8TBAG7y8of/qffue02wi0BvvyPbp/rIIrCHde5mRtleC02ld69HfTu7djUNh4kvV0NtLcEGJ+KrXY3Xg/ThJn5BBPTMbZ1V4ssDcNgOZ6tKdSsqjKD25qIPOQ8Vo/LhtVa++VbLFUYn4o9MAOjUtG5NBTlBz85X5OU4sNi92ALvZ1hFpbSNR2nYZicvTTDX373BL/6lcceaNOeR4XGBg+H9nZxaShaszLY5Eycb37/FB6XjW3dDaspGqLShyB4ka3PIWCvRjAEGwjyyiTfjSC4EAQrIGOaAUwxjCA6kC2HMbQpTDOPwPoGhigFkdWDGEYcUWpBECREuQdJ3YuuXUXAjmL7IggigtyEYvs8evkkCCKi1I4o9yKpuzGpYGjDVB/YFiSpCUNfxDQLCGKoun0jgSC4kNT9K4o5IFsOIogNCFIYxfYl9MoZrhV5S+y515+izt9hRFGgudHLM0f7+MvvnqhJrCKVKfD9H58jHHBxYE/7hnVRdbaeeC7PVDLFVCLJ6HKcfLmM9abUH4vkpM1xAKccJKst0+Y4sOH2SnqJsdw0qUoGk6ps7VJp8+0PDvl33ZOBAbC/vZkWn5u/PT/E8YlZhheWWcxkV2szbocggNNiocXnYaAxxNN9nRzubMVjv3NUZVfwn96yzCoH8Vr6b1luk8O0u1+7ZXnQtpegbe8ty9dbd7M8uIS1TyWPXlrLRjjtFnYOtHD20gyLy5nbrlvRdI6fGV81MArFCiPji6TShdt+DqC10UdPRwj7fW4ieCfUlWZxiiLVlN6Ty5e5cGWW/bvaN1WkdDfousHETIxv/+1pJqYfbTnmSNjDY/u6uDqyULMXsFzWeOOdS7icVn7upd2EApvrgvpp55rn9OOTkZqjflDtJeJ0WPjqFw7R2xVGlkRky+MASKzfy+J2MTpJGURS7qxupNi/vOa1ILqwOH/vlvUEwYpsOYxsuam2RVBRrM8Dz69ZLFsOIVsO3bKd6/UioNi/csP662y7Tp17wOuxc/RgN8dOjzM2uVzTZ4bHF/nWD09hscjsGmxZV/DkYWGaJqZpIooimqGTrhTxWzYnhDCcXkASRJrtPizSw/1uuVKZyUSSsVicSwtLnJ9f4FJ0gUxp/fRSzSijmSVcSgS7fHup/+HsBN+efYPhzAQGBqqo4JKdWCQVaRPpPEHVv6nvtBENbhe/8fh+Xhjs5dj4NGNLcaLpDPFsgUKlQknT0VZSqFRZwiLLOK0qIaeDZp+HwcYwO1si+Oy2+z5HeVA8OndWnXtm385WfvLupTsaGJpmcPLcFL/0xUOIokgmV6p5ojS4rZG25vVvyHgyh8tpRblDqlixVGFodIFYMkdXW5D2lupAkkoXGB5fpFTW6OkI3VHto6M1yPEzkzUZGPlCmbOXZliKZQgH79+EWNcNpmbjfOO7J/jo5Nh9289WIQhwaG8nJ85OEktkKddwLgGyuRLf/uFpSqUKLz+7g6724EPNaTYMA90wkUQB8X60G78BQYC2Zj9PHu5hdGKRTA2yzlCNHr7z4RC6bvDai7vZu7MNRd76xoW1YpommmYgisIDrU2qU2erkESRztYgzz85wJ8tfEyhWFtE8eS5SQCKxQr797Rjs9x7B+Z7wTSraoOjE0toms6Tj/WSqhR4d2GIL7bt29S2TsYmsMkKAYvjoRgYFV1nLpVmaCnG5cUlLs4vcH5+geXc+qlDFlmiw+9jX0sTWW2JeGmCgKWLgp4kYttYBOJM8jLT+XkMDLa5uhh09xC2BLFL1k0129tq9almn5sv+bZjmCbxXIFoKkO2VKZYqVDWdAQBLLKMTVXw2qw0eFy4LOrPZE1Q3cC4DZpmMD25TCKWZde+jod9OHekudFLb1eYkYml2xagGobJ5EyMxViWcMBFMpXn0gYKWTficVnZ1h3ZMC3mg09GefxQN37v7T0upgmpTJHTF6bRNGPVwDAMg+hSmrGpZWxW5Y4GRn93Aw6bWlNhuq4bjE0u8/aHV/niK3u3VAXpxn1cHp7nr394mrc+vFpzl/GHTSjg5Pkn+xmbWmZ8aumOHa2vkc4W+e4bZ1lYzvDCUwPsHmzB7Xpwhf+GYZLJFZmciTExFcPpsHB4X+c9d5avBafDwoHd7Vy4Msc7Hw/V3EvEME3e/XiY5XiWl6IJHj/YQ3idJp73k3JZY2o2zvj0MsvxHK88ux2vZ3MqbnXqPCq4XVYeP9jN5ZEo7x8brmn8Mk04cXaSbK7E/FKKpw73Eg667rtz4mbSmSITMzHGJpe4OhLl6ugCDWE3PbtDvLswxI/mLmCTFAIWJwcCHSTLeS6m5oiXcrgVK9s8ERptXmbyca6kolQMnYlsjF53tYfE+cQMM/kEJV2jweZmr7+N2XyCZDnPXn8bhmlyNjGNT3XQ5Qrd9fcwTZPlXJ7h5RhXoktcXFjkwvwC08nUml4Y1xAECDkcDDaEGYyE2dnYwGAkTEGbZL5wHt0skyzPrumFoYh21BtU7NKVLGWjjF/x8NnGZzng24lFeriZFTciCgJBp52g8+/u2PpADYzFfJa5XJo2lxe/deOTbpom/+3yKX59YN9Dtep0TWdqfImRoeinwsCQJYn9u9o5dmr8jgo3hWKFi1fn8B7sZnxqmVjizp3AuzvCdLcHb5H4y2SLXB6J8vo7l8jmS/i8dp5+rBerRWFobJGRiUUAWpv87BpoxmZV2L6tkYWbOi/7vA62b2skl69Nnae/J4Lf52BhOVOTikgqneeNdy7RFPFy9EDXlj1MTNMkXyjz3rFh3njnMifPTdY84XxU2LernWfHl4gncyRrlK0FyBcqvHdsmKmZGI/t7+LA7nZ6uxrw3CdDQ9cNYokcc9EkEzMxxqeWGZ9aZnI2zt4drezZ0fpADAyoXs8vPDXA1Fy85oZf17g0NE90McWV4SiP7e9i50DzfU01S2cKRBfTTM3GGZ1cYmxqmYmpZSqazlOP9dYNjDqfWgRBoKXJx6uf2cHcfJLRydrvxSsjUZZiGYbHFjmyv4vdgy34fY77Nu+ojl9ZpucSTM3GmZiOMz61xNjkMqlMAUkSCAacYIJuGhS068/Col7hQmqWM/Fp2h1+RrNLZLQSR4ISnyyPs1BI0+4IkNEKlI1qL4WqQpOJicnfTJ2ixxXGME3+Zvo0O70t6KbB92bO8MudR+7q++TLZcZjCS5EF7m0sMjlhSVGlmJky+s/w1VJoj8cYmdjA9sbwww2hOkK+Fe7ecdLLiRBZSZ/mryWQEpdr5Fpsu9aE9EIWfzYJBsuxUGzreGRMi42IpctcuncDKlkjr6BJto6796o+zTwQA0MURBRRKmmTot/cfUsvz6wudDg/cAwTKLzKV7/3hk0Xae9M8T2XW3EltJcujBDKpHH47PTP9iM1aYwdHmeRCJHqVjB47Wze187bo+d8dFFhq/MUSpqhCMe9h/uui9a3Dv6m2mK+JhfSKHfZpJbqehcvDLH3h2tnLs0c0evjyyJ9PdE1k2PEkQBRZYolzUUWVoNN2eyRV5/+xKDfY1oms6b71+hOeLZskJrr8fBrsEWJqZjNUmG6obJ2NQyX/v2J5TKGof3dt6zkkiprHHhyiwfHB/lw+OjzEaT97S9h4XNqvDSM4NMzcZ479hIzcXLUI30jU4uM7eQ4syFafp7I/R1RejuCNIc8eGw31341zRNiiWNRCpHdDHNbDTJ3EKShaU0C0tp5qJJYonc6rX7oOWuFUVi12ALLzw1QDKVJ5bIberz8WSeH711kUtD8/T3RujvaaSnI0R7ix+vx37Xk5xyRSOdKbIYyzAXTTIXTRJdSrO4lGF2IVkdG1aiawHfo9Hork6de0FVZHYONPPq8zv5y+8cv2Oa8I3EEjlef/siV0ai9PdEGOxrpLczTEdr8J6eD4ZpksuXiCVyLC9nmF9MM7+YJLqYZm4hxVw0STKdv+XZKwoCEZuHQ8EuPl4a4+XmnQAsFTPM5BK02n18vnUPHy+Ncik5z3B6geVilgFPI083bGO2kEASRHTTpGRomIBNUhjOLFDUK3S5QtgkhclcDEWUkAVpU9ELTdeZS2e4ML/AhegiVxeWGFpaZjmXR99gItHodrGrqYHdTY0MNoTpDQUIOW8de1xKA92uJ5nMfoKAiEe9rgpqEdfOGw74dzGZn2UoM8FQZpywJYBNsj7SqUaCIFApa4xeiWK3W+oGxmaJ5jJ8sjDDciGHVZbZF26m3xdiIp3g+MIMkiAStF2/sOayad6fmyRbKaMZOr/QtxO3Wq2eNzCZSSf5eH6aVzr6cFsevG66punkMgXcXhtzM3FOfTJGQ8TL5QszTE8u094ZZnY6hq4ZtHYEOXFsFL/fSXOrnzMnJ/B4bLR1hnj/rctEmnz4Ak4+eOcKjc0+WtsDW34zeN12dg00c3UkSiqzcdF2RdO5OrZANlfifA1dpsMhN71d4XV1/J12C7sGmvF7HRzc076a8jQ2ucy5yzNEwm503WApnmEpnt0yA0MQ4DOPb+O9Y8M19ySoVHQuD83zX7MfMjS6wKE9HfR2N+Be53tthKbpzEaTDI8vcuHKHFdG5rk6unBbFSavx0Zna5C5hRQLS+kN13uYNDZ4+Mrn9pNI5Tl7cea2amTrUShWuDg0z9DYIkH/GM2NXhpCbsIBF6GAC6/HhstpxWZVUWQJWRLRDYNKRadc0ShXdErl6uQ4kcqRSOZJZQpkssXqQzqWIZ7Mb/q47icet41nj25jOZ7l9bcu1lyPcQ0TmJyNMzUb55PTEzQ3emls8BDyu2gIufB5HLhdVuw2FVWRkVdqJcqaTqWiUS5Xz1kuXyKRypNI5Umlq+cskcqzHM+yFM9QKNRuMD6KGKZZvU7KGvFUjvIN3W5vx7XoYjyZQ1VkLKqMLEs/M0WUda7jdtp45kgfqXSe775+lmQNoiXXME2YmI4xMR3jxNlJWhp9NDV4CAVdNITc+Nz26thlU1BkCUla6cism2h69R4sFivkC2Uy2SKpTIFUukAyXSCVzpNIFYgnspsbv0zQTB3TNBEEAUEQEAUBzaw+Z3SzGpmQRBETE8M0MWH1b7SY4tjyKJ3OEE7FUt0WJiICrzTv4p2Fq3gUG883Dq7ULNzu/Jgki0UuRxc5Mxvl0sIio8txZlNpitr696JNURhsCLGvpYntkapR0eH3odxGXl4RrYSsvaii8441GO32Jl6OPI2ExDtLx5jIz9BkjeBRnFglC7IgVc/bHU6zW3HR6agKU8zPJhi5Mk86mUdWJAzDJBByMbirlWQix5XzM2TSBQIhF3sPdeFy2/jkg2GiswlKJY2Wdj+Hn+jDMExOfjzK3EwcURRpbPZx6PFe7A4LPdsiLN4kC7+8mOby+RmWF9O4vXZ27GmjodHL2HCUocvzFHIlHE4rh5/sw7NOU2LDMJmbjjN8ZY5nX9pJJl3g1LExduxtQ5Ylzp2aYHkxjaLI9GyL0L+jhaXFNJfPTRNbyuD22tm5p41wo5eTH49SLmvkcyXSyTyPPztAKOzeVHPja2y5gTGcjHF8YYZ9oSaCNjsupRq2sssKhmkymlpmeyBMg92JYZr81fB5fFY7bS4PJqCIK/KNgshYKsHrk0MM+ELI4sPpMSFKIuGIl8OP93H10iwfvHOFudk4y0tpWtoCPP5MP8feH2JmKobLY0OWRbr7Gth3qIvJ8SUWF9IIosjlCzNomo7LbSO+nGExmqKlzb/lBoYgwOF9nfzkvcu3NTAMw2RhKc3Q2AJzC8k7bre3M0xPR3jD4xUE0A0DwzBXB0RFqQ7EzREPoijS1R4kvMVpID0dIY7u7+Z7Pz5Xs9dd0w0mpmMsxbKcvjBFR2uQtiYfjQ1eAj4HNpuK1VJt5KfrBqWyRjZXncAtLmeYX0gRXUxVvVALyTvKuzodFp4+0seR/d384CfnH1kDA6ppZ7/8pcNk8yWGRxduGwXbiIqmM7+YYn4xhSCAzaridllx2CzYrAqqKiNJIqIorBYaa7qBpulomkG+WCaXK5HNl2oq4H/YNDZ4+PyLu8nmSrz90RDFGgtNb8SEVQPhwpU5VEXC47LhcFiwWavXoySJSCtpfZqur5yz6nkrlqpGRi5foliq1FxH86DQdINSuUKppK3+K5YrlMoapVL1b7G08n5ZW11eLFfXLZc1KppORdMpFMpMztQmR6nrJsfPTJJI5pFlCUUWURQZi6VqbFT/KWtfW278q6z8v7LmfVl6eMX5ddZHEKr1ZK98Zif5QoXX375YU33ezSzHsyzHs5y5OI3NquBx23DYq2OX5drYJQjVybxhYugGFU1fdZBcMzTyxfI9jV9WWcEuq/znkffodTdwJNhNpzPIh4sj/JeR98lrZXpcYfrcEaKFNKcTU8wVkszkE/hVB5IgkqkUmcrFCFqceBT7qiGx3dPEj+cukNfKfK5l94bHUKxojMcTnJye5fz8AqPLMaYSKVLF4roamwLQ5vOyr6WJvS2N9AYDdAX8eGzWmjJXruFUQiiileXiGCY6LiWCVVo7d3h78RgX08NES0tM5ecYyU7ikh3YJBuKKCMJtd2j2919qwZGIpZlcnwJ0zAoFirYHRZy2SIut43hy3PIikRTq58zx8fx+hwM7GzB67MjCFAp6/zgWyfZ/1gPuqbz+vfOcPBID8GQC+9t5NxLxQqXz88QnU3Q1hVi5Mo8siTi9tg48dEopWKFju4wLrftNrWjJstLac6emODZl3ZSyJc5f3qS9q4QWkXn+AfD7NzXgd/vwOm2Vfd5bpqF+RRtncHqd5MlXB47w1fnKRbK9A004XRZsViVWuvlb2HLDYwmh4sut5+5XAZJFFcNhrDdSa83wHLxen53tlJmKBnj93b1MOgPr16ApmlS0jT++MJxIg4XTzV33tbqvZ/IkojTZUUUhVW1FUEQEESBcrk6eJQrGqZpIkkilbKGrhlgQqlUQZJErFYFRZFobQ8SCDrp6A7T3hG6bw+ozrYgXe1B5qLJ26oCJVN5/voHp+84CNptKn1dDTQ2bKy2IAgC7S0BfvDTCwT9Tl57cRctjV4e29fJyPgSoihgtars3dHKcjxbTQ0Znsdus2C1KOzZ0cLicoafvn+F8akY8wtJRFGgvydyW61yRZH5uZd3c/byDCNji5vqmJ3Ll7g8HGVobBGnw1Kd0NktqIqEvKLuYxommm5QLFUoFCtkskUy2SJajQXcVovC4X2d/Pzn9uN127k8NM97x4ZrPsYHjSgK7Nnewm9/9XH+619+yJWRhXsqVjfNqoJXrRGmTyOCINDe7OfnP78fgPeODddcR7QR5YrOUjzLUvzOtVGPMhMzMb75/ZNkc6VVA1LTqhOy60alfn2ZZlSNp5te65pxV6LhpmkyM59gZj6xukwQqvVqsiwir0TSZHnltSRWo2vrvbfyWpElFEXi1ed2smNb030RjKhzdwiCQFODhy+9ugdJFHjjnUskNlFTdjOFYqVmZaqtRBAEghYnv9p5lJxWImR1oUoyA54m7LKFTKWATVJpdfjxqnYeC3XRbPdimCYDnkbCVhcBi4vXWveQ08pYRJnf3xbAr1azR1RJpmzo7PU3YpM3rl24tLDI//ftD5hKJFnO5dct2AZwWy3sbGzgcFsrA5EQHX4fjW4Xinh3hnhBSzCZO06msoAA2CQPbc5DeNWW1XXOpa7w/vLxNeNCopImUdmcAy+gete8drlteH0OkvEsXr+TZDzL7FSMoUtzKKpMOplnaSHF8mKaUqlCdC5JKplHFEXGhhcwdANJlth7sJNUMk+xUCbSvH6fIoBMpsjo1SizUzF03SA6m8BqUykWKvT0NzI2tMDMZIz+Hc21NzdekTsG8PjsdPc1EltKYxomrZ0hMukCo1ejzM/E0TWdhbkkdoeFYqGMAITDHnbsacN9j7V5W25gtLo8vNDWw0wuzcfzVenT17rWD3MpoohuGpT1augOhNWLRRAFnmvt5t25CS4nltgVjGz1odbMzfeHx2unvSPEqeNj/Lc/egutorNjdxs+vwPThE8+GuHKpVmymSItbQFa2gIceKyHuek483MJDMOkf3CdjuNbhEWVObS3k7MXZ26bF14qa1wavrN6VGuTj76u8G31wgVB4LUXdxFLZFc8hdWH8Cuf2UF0pb+CIktIoojdprJnewvbuhsQRZGg34GqyPg8dh7b28me7a0oskRDyL2aEnL74/Pzy188xL/9o5/e1cNE1w1S6UJNfUA2g9Ui89i+Tn75S4dpa/ZjGCbNjV6sFpliqbYUj4eBLEsc2NWOVVX4L3/5AWcvzX5qFLEeFpIk0t0e4pe+eAirKvPmh1dJZzbvPf1ZIxbP8pN3r5DLby517H5imqxGQ+DuJo+CILCjv5mB3gjKbbuV1HnQiKJAc8THlz+7D5tN4Yc/vbCpmoxHBauksNu/ttu9S7Gyw3vr3CFsdRO23qq6uMPbcsuys4lp3l8cRhElDgY7b3sMy9kcn0zNrPueLIp0+L0cbm9lf0sTXQE/LV43TotlU9GK9UhV5shpy3Q6jyAgMFs4Q7w0scbA2OnZhkO+d3GKdvva8ymK1ewLWZGQler8Q1FkVKtCa3uA7m0RBna20tDoYTGa4vzpKR57qg9FkdB1A9Os1uc9+dwg87MJZqdifP+bx/m9/9sr6+5fkUUsNoWGJi+Du1oZ2NWKz+/A7rAwsKOFYMjF8mKad358kWDYTWtHcN3tqKpMIV+qOujLOvHlqnPKF3By9Jl+FuaTXL04w0fvXOXpF7djsSo0NPlu2KcTu9OCCThcli1xnGypgWGaJhdji/ztxBCCAPlKhR2BqmrBB3OTvD45zEQ6QbyQ5/NdA/T7Qrzc3scPJ67yxuQwJia/vf0AQZsDSRB4pqULq6zwrZGLOBWVLs/WNERZD0EU+OLvPs8Tn68WlqsWhY7tLZiiSHtnVSqtuTXA86/sIhR2Ewy58PkdFAplrFaFUIOHTKaAw2kh0uSjrT2I1abQ2OzDalN54tl+lhbS1QsQsFjub339oT0d/PUPThFP5m6bLnGniaMAdHeE6O0K33Y9qPYGuLkIPBJy39L1225T2dF/6yBpUeU7StyuhygKHDnQzVI8y5987QPyxYfvLbdaFJ56rJdf+fJh2luqtTaSJBD0O4mEPY98Az5Zltg12Mw//M1n+e7rZ/nbty5SLj+6RtGjgCSJtLcE+OoXDxEOufn+T84z9ykt+t8qDNPE2MDr+WnGNM2qqMAjlopWp4ooCkTCbr7w0h7CARd/8/pZRsYXP3XqfveDJpuXJ0K9uBQrHmXzan8+m429LY083tnOQEOIZo+bgMOOuoVZJppRQhZUGmzbAIiVx6kYax2Ah/y72e3duEajVlTxpgyJdWwjX8DB3oOdjFyNcvKjUUzT5KXX9uJwWsmmC5w5Po7bYyMQciEI1bSnb/y3D5BlkXJJw+WxYxgm8zNx3vjeGcaGo7hWogM797WzfVcrp4+Pc+Lj0ep3e7yH5tYAb79xgYnRRQzDqEZe5fUdroIg0NDoRdcN/uR/+ymCKGBbaYY8P5PgR985hSgKFIsV+gaacbqsbN/dxpkT1/d5+PHeatr+6km49wybLZ/ltru9fL6r2qbcKsk02J0IQFCy82JjD7ZOBbuq0Oiohs+ea+2m3xdCMwxMTNyqBcMw+J8ffxlFFDkQaqKUreCStk56UterzaVuDN0JgkDXjla6drTesr4/UM2fc7qsOF3Xi4E7e9YWBmcyBSRZorHZx8DOtZ4Dn9+J7zZ5eFtNwFdVWJqeS9xTiDfgd7CtO/LIy1jarAqvfGYHpmHyJ1//4KGEta9htym8+twuvvLZfTRFPGuuM7/PQWuT75E3MABEUaS3M8yvfuUx+roa+NNvfsTC0qfPE/ggEUVhpSZjF+0tAb71g1NcuDJbcwPDOnXqbA2CIBDwO/nME/00N/r47utn+fjkGLmf4XTNWghZXYSsm6uFVCSJ7oCfp7s7ONDaTJvfS8jhwKHenwaFVslNXk9yMvZ1RCTyeoJ2x8E167gUBy62VgWvvStEOOJBViS0io6sSFTKGnaHBdOEts4QlRVHmy/gRLXI/OJvPIGuGciqxO4DnaiqjGnCMy/tqBbmiwIeb7VOwxdw8vSL2zny9DZEScTrc2Czq/QONBEIuSispNYGw25EUWBwdyttXdWIhd1uIRDeqDeYgNfv4Ff+/tNUVo5bliWCYTeGYfDMiztgpS7WF3AiyxJ9g00Ewi6KN+xTEAWeeXEHqkVG3QIn+Ka2YBgmqVwBj9NGqaxhUlVRiKVyBDwOFFmkkKnQqDgJeBzkixUSqTwVi44NmT53gJDXSbGikS+WWcrn8Lvs9HgCzCwmcdhUSiWdH5y4xJ6eqofb0E0aFSdu1UKporGYyOJ32VAVmUy+REXTsaoKnhtUgCq6Tqmsk8oWcNosOGwqC/EMkiRis8h8dGGC5pCXbW1hVFliZimJ3aLgc929NCRAMOjixVd343A+GB3+2yGKIk8c6uGdD4fuabLd1hygvyeyWlz6KON2Wvns8ztxO63873/27qb6OWwFAtAQcvOrP/8YRw90E/A5b0mv83sdG3ZCfxQRBIGGkJvnnxqgsz3Ij968wBvvXr6rQua/KwiCgNdt5/C+TlqbfXzwyQg/+OkF5qLJuge1Tp0HjMNuYedAM5Gwh7072/j+j88xMrF4R3GOB40kiuzZ3sKLz2x/2Ieyitdu49WBPp7q7mQwEiLkcOCxWpDvc02s39JBL88QK00AJhHbdgKW26dzbQUOpxXHbRQlb3QwX6Oje/3sjr6BpluW2R0WunpvTfeXZYnmtsAtyxubfcDG9RvXEIRqBL2jp2Hd93vXORabXaVlnX02NHrvuL9a2ZSBUdZ0Prwwwf5trVwaj7K7p4liucLI7DIfX5ygo9FPOldkW1sDCHkuTUTRNIO+tjCzSymsiozXaeP00AyFUoW5WJqn93TjcVhJ54q8cfwqLx/exthsjMGO6o+g6QaXJqK4HVbG5mIr+WUava0hzo/NI4kiVovM07u7UVeataSyBY5fnkYQBPZva0EsQSpX4OSVGfZta2ZqIYHPZQfT5PiVabL5IuPzMb7yzB7cjruXwlUtCuHI1radvxe2b2uiuclHLJm7q4mNokh0d4Toals/5+9RxOW08uwT22hs8PLn3z7GsVPjD2S/siTy9NE+vvzqPro7Qtht6xfOuZ1WmiM+LKpM6VOUcmSzKmzva6Ix7OGpI3386M0LfHRy/JHIrfd77RzY3c4LTw3iuof7d6uxqDIdLQGCPicHdnfwzkdDvPn+FaJL6YduaCiyyO4drTxzpI/gFslG16nzqKLIEo1hDy88NcCu/mY+PDnGj9+9xOR0rGbBjvtFKODk8N4unnysh46WAL51ZEgfFjsiYf7wuafw2qxYZfmBKadV5Wp7VmsuZNGCJGws9lLn0WRTBoYsiXQ2+vn44gTFUgVZEhmZXWYiGie6nCbodbCrpwm/y8HY/DICsLO7Ea/TxvxytdDXME3S+RKdET+mWS00Hk/HmV5MMjEfx2mz4rRbaG+oWm2KLKFIEvlihYVElqd2dXF5coG55TSSKNLTHCQaz1Asa6sGhqYbOGwqjQE3Pped8bkY4/NxJqJxDm9vw2W30hr2osgSl8ajqIqEgEixrOH+Geo7ZbUoHN3fxfDYwl2p2jSGPQz2Nt73epGtxmpR2DnYzD9reIFT56f4zo/OcrmGYva7QZJE9u5o5Suf20d/TwSv2450m8J0SRIJBpw0hNxMzdYmtfkoUNVhr6beed02uttDfPmz+3j/kxE+OD7K5Ey8pm7qW4XNorCtN8ITB7vZs6OVoN+J02HdMEf1YSEIAi6nlb6uME0NHl5+djsnzk7yzkdDXLw690BTpwSgtdnP0QNdPPlYL5GQG6fDiqrWi5Tr/OwjCNX6v462AKGgi2eO9HH64jTvfDTE2YvTDzSttrHBza6BVvbvbmOgpxGPy4rTaUW5D8137wW7qmJXH06HbFGQsUh158enmU3NHCVRIOJ388YnVznQ34qmG8wvpymVNZx2C5Io8sYnV9nV3URT0MPEXJw3PrnKtvYw4/NxEpk8LocVXTewWhSsK6pE88tpsvkSumGsNLCB98+P89z+XmaXklyeWsDAxO+28eapYVRFZkdnhEyhhN2qIq80vbkRVZawW6rvLaeypLIFNN1AXEn1OX5lmuf397G9M8KZkVlUWcLzCHk/t4qnj/TxV98/dVcGRmuzn8FtTZ86vXdBEJAlgUjIzfNP9LN/ZzvD4wu8/eFVTl+YZil2b9KfiizR0Rbg0N4OnjjUS2PYjdtlq/nhEPQ5aWn0faoMjGsIgoAsSwR8DnxeOx2tQX7u5T3MRpOcPDvJmQvTTMzEyG6y4dydUFWJno4wg32NDPY10tMRXm1AZ1GV2uX7HhKiKOJ2VRsNhoNunjnaRzyZ5/SFKU6cmeDK6AKJ5Nam9AmCQEujl/7eRravnDe/14HdrmK3qZ+KtMc6dbYaQRBwOiw47CoBv4OjB7qIJ/OcuTjNiTMTXB6eJ76F96IkiYSDLno6QtV7sbeRxogHh82C1apUHZyfsmdsnTq1IJibdDsahkmuWMay0kStWNbQDQNREJAliYqmo640NCpVqlrniixhGAaGaWJR5NVl14qtNd1ANwx03cBlt5IvlTFNE6fNgqYbFFaiJaIoUNF0JFFElSU0w0CWJHTDQJGk1UnGtW1JoogkiZQq1SZNumHgsKqUK9f/XzdMimUNQQCHVf2Zu9ENwyCRKtyVkotFlXE4LJ/6iYhpXu9lkcuXmZ6Lc3VkgYnpGHMLSWKJHJlMoXotr1w36kpTLaddJeB3Eg66iIQ9dLWH6OkI4XJaV5tuiYKwqetG03RyhfJtVZmcDitWy4MLSd8LpmmiGyblska5olEoVJhfTDE2ucRsNMlSLMtSLEMyladQrKw2UjNNE0WRsKoyVouKxSJjVWVcbhsNQTeNYTeNDR4iIQ8NIVe1n8yK/LEif/ofyoZhVjuYl6tdzJfjWUYmFpmZTbAYq3a9jyWy5HPl6jmrrFyfkoh1pfmb1VJtEud0WAj5XUTC7uq/kIdI+HqEQl05b8Imr9V7pVypdmZ/kNGtB4XTUe3hsxXns1iqkM+X0Wscp/1exy1CJQ8awzBIpgs1SVgLgoDdpm6YOvqwMQyTSqU6LlU0nYXFNFfHFpiZT7K4nGZxOUMimadQrN6L5YqGaZhIUvW+sloVXA4LbqcNn8dOKFi9F1savbQ2+qvRiZVxS1Wkh/7b1anzINi0gXEz1z4uCMKKHOrGr2vfzvVDuvFzN65zL8dZ6/7q/OxhmiaGYaKvGLWGYa52H1+9XIUVgTZBQIDVJouiKKwardW369fKeqye4xvO7+o5XjnJq7fcyrm+di6vpWJVz7d4/dw/4Inxg+baubl2XZqGuSLxeu26vPX6vH7OWDUcpJvOG9Sv0zp1NoO50qRM09cbv264D2Hts0JgdZy6NmaJkrDqoKvfh3X+rnHPBkadOnXq1KlTp06dOnXqXOPTnftSp06dOnXq1KlTp06dR4q6gVGnTp06derUqVOnTp0to25g1KlTp06dOnXq1KlTZ8uoGxh16tSpU6dOnTp16tTZMuoGRp06derUqVOnTp06dbaMuoFRp06dOnXq1KlTp06dLaNuYNSpU6dOnTp16tSpU2fLqBsYderUqVOnTp06derU2TLqBkadOnXq1KlTp06dOnW2jLqBUadOnTp16tSpU6dOnS3j/w+DX7+JvgRRawAAAABJRU5ErkJggg==\n"},"metadata":{}}],"source":["#Having a word count\n","\n","# Concatenate all the 'safe_text' into a single string\n","text = ' '.join(train_data['safe_text'])\n","\n","# Split the text into words\n","words = text.split()\n","\n","# Count the frequency of each word\n","word_counts = Counter(words)\n","\n","# Display the most common words\n","print(word_counts.most_common(10))\n","\n","# Generate the word cloud with a white background\n","cloud_two_cities = WordCloud(width=800, height=400, background_color='white').generate(text)\n","\n","# Display the word cloud\n","plt.figure(figsize=(8, 5))\n","plt.imshow(cloud_two_cities, interpolation='bilinear')\n","plt.axis('off')\n","plt.tight_layout(pad=1)\n","plt.show()\n"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"SCTGaVKYvkWf","executionInfo":{"status":"ok","timestamp":1694986051784,"user_tz":0,"elapsed":20,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"347f69fc-1c27-42d8-8dea-5f8344e38a1d"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Calculate the length of each text in 'safe_text'\n","text_lengths = train_data['safe_text'].apply(len)\n","\n","# Plot the distribution of text lengths\n","plt.hist(text_lengths)\n","plt.xlabel('Text Length')\n","plt.ylabel('Count')\n","plt.title('Distribution of Text Lengths')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"giNALl4ZvkWg"},"source":["#### DATA CLEANING"]},{"cell_type":"markdown","metadata":{"id":"KaT-Ct8fvkWg"},"source":["Issues to treat:\n","\n","\n","*   Remove unneccesary columns.\n","*   Remove emojis and other characters from safe text column.\n","*   Remove punctuations from the safe text column\n","*   Changing all text to lower cases.\n"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"nNfmNYHavkWg","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694986052335,"user_tz":0,"elapsed":567,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"84696d72-7c62-439c-80de-e88cf9a63533"},"outputs":[{"output_type":"stream","name":"stdout","text":["the missing values in the df_train dataset are:  \n","\n"," tweet_id     0\n","safe_text    0\n","label        0\n","agreement    0\n","dtype: int64 \n","\n"," ------------------------------------------------------------\n","the missing values in the df_test dataset are:  \n","\n"," tweet_id     0\n","safe_text    0\n","dtype: int64 \n","\n"," ------------------------------------------------------------\n"]}],"source":["#Checking for mIssing values\n","data=[train_data, test_data]\n","names=[\"df_train\", \"df_test\"]\n","\n","for m, i in zip(data, names):\n","  print(f\"the missing values in the\", i,\"dataset are: \", \"\\n\\n\", m.isna().sum(), \"\\n\\n\", \"---\"*20 )"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GrO5SOM_vkWh","executionInfo":{"status":"ok","timestamp":1694986052336,"user_tz":0,"elapsed":92,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"5571fbd7-301a-46f9-ab2d-6ccb74f89bd2"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":20}],"source":["#check for duplicates\n","train_data.duplicated().sum()"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jWbAWWTUvkWh","executionInfo":{"status":"ok","timestamp":1694986052340,"user_tz":0,"elapsed":90,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"1dc097d5-6b0d-45f4-9f04-d9306830c12e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    me amp the big homie meanboy3000 meanboy mb mb...\n","1    im 100 thinking of devoting my career to provi...\n","2    whatcausesautism vaccines do not vaccinate you...\n","3    i mean if they immunize my kid with something ...\n","4    thanks to user catch me performing at la nuit ...\n","5    user a nearly 67 year old study when mental he...\n","6    study of more than 95000 kids finds no link be...\n","7                      psa vaccinate your fucking kids\n","8    coughing extra on the shuttle and everyone thi...\n","9    aids vaccine created at oregon health amp scie...\n","Name: safe_text, dtype: object"]},"metadata":{},"execution_count":21}],"source":["# Clean the 'safe_text' column (example: remove URLs and special characters)\n","train_data['safe_text'] = train_data['safe_text'].str.replace(r'<url>', '')  # Remove <url> tag\n","test_data['safe_text'] = test_data['safe_text'].str.replace(r'<url>', '')  # Remove <url> tag\n","\n","# Remove emojis and other special characters\n","emojis = re.compile(r'[^\\w\\s@#$%^*()<>/|}{~:&]')\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.replace(emojis, '')\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.replace(emojis, '')\n","\n","# # Remove punctuation\n","punctuation = string.punctuation\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.translate(str.maketrans('', '', punctuation))\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.translate(str.maketrans('', '', punctuation))\n","\n","# remove hashtags\n","train_data['safe_text'] = train_data['safe_text'].apply(nfx.remove_hashtags)\n","test_data['safe_text'] = test_data['safe_text'].apply(nfx.remove_hashtags)\n","\n","# Turn the safe_text column into lowercase\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.lower()\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.lower()\n","\n","# remove multiple white spaces\n","def stripSpace(text):\n","    return text.strip()\n","train_data['safe_text'] = train_data['safe_text'].apply(nfx.remove_multiple_spaces)\n","train_data['safe_text'] = train_data['safe_text'].apply(stripSpace)\n","\n","# remove RT and user handles\n","def removeRT(text):\n","    return text.replace(\"RT\" , \"\")\n","train_data['safe_text'] = train_data['safe_text'].apply(lambda x: nfx.remove_userhandles(x))\n","train_data['safe_text'] = train_data['safe_text'].apply(removeRT)\n","\n","#Preview of the safe text column\n","train_data['safe_text'].head(10)"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ix2kGB1AvkWh","executionInfo":{"status":"ok","timestamp":1694986052343,"user_tz":0,"elapsed":88,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"b42245af-5cbb-4ed1-deb8-5b77474f6272"},"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Unzipping corpora/stopwords.zip.\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":22}],"source":["#REMOVING STOPWORDS\n","# Download the stop words (only required for the first time)\n","nltk.download('stopwords')"]},{"cell_type":"code","execution_count":23,"metadata":{"id":"gZuOmBWEvkWh","executionInfo":{"status":"ok","timestamp":1694986052345,"user_tz":0,"elapsed":74,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Remove stop words\n","stop_words = set(stopwords.words('english'))\n","train_data['safe_text'] = train_data['safe_text'].apply(lambda x: ' '.join([word for word in x.split() if word.lower() not in stop_words]))\n","test_data['safe_text'] = test_data['safe_text'].apply(lambda x: ' '.join([word for word in x.split() if word.lower() not in stop_words]))\n"]},{"cell_type":"markdown","metadata":{"id":"3fiz-b7rvkWh"},"source":["# Export DataFrame as CSV"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"L8Ifba25vkWi","executionInfo":{"status":"ok","timestamp":1694986052348,"user_tz":0,"elapsed":72,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Save df_train\n","train_data.to_csv('/content/NLP-Sentiment-Analysis/data/train_data.csv', index=False)\n","\n","\n","\n","# Save df_test\n","test_data.to_csv('/content/NLP-Sentiment-Analysis/data/test_data.csv', index=False)"]},{"cell_type":"markdown","metadata":{"id":"SFfTfAmRvkWi"},"source":["#### IMPORTING CLEANED DATASET"]},{"cell_type":"code","execution_count":25,"metadata":{"id":"6RqOQ02IvkWi","executionInfo":{"status":"ok","timestamp":1694986052351,"user_tz":0,"elapsed":68,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Disabe W&B\n","os.environ[\"WANDB_DISABLED\"] = \"true\""]},{"cell_type":"code","execution_count":26,"metadata":{"id":"LUNo3FqUvkWi","executionInfo":{"status":"ok","timestamp":1694986052353,"user_tz":0,"elapsed":69,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Load the dataset and display some values\n","df = pd.read_csv('/content/NLP-Sentiment-Analysis/data/train_data.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df = df[~df.isna().any(axis=1)]"]},{"cell_type":"markdown","metadata":{"id":"cIGfCU-ivkWi"},"source":["I manually split the training set to have a training subset ( a dataset the model will learn on), and an evaluation subset ( a dataset the model with use to compute metric scores to help use to avoid some training problems like [the overfitting](https://www.ibm.com/cloud/learn/overfitting) one ).\n","\n","There are multiple ways to do split the dataset. You'll see two commented line showing you another one."]},{"cell_type":"markdown","metadata":{"id":"WvjdOXSgvkWj"},"source":["#### TRAIN TEST SPLIT"]},{"cell_type":"code","execution_count":27,"metadata":{"id":"WVLT4Vk_vkWk","executionInfo":{"status":"ok","timestamp":1694986052355,"user_tz":0,"elapsed":70,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Split the train data => {train, eval}\n","train, eval = train_test_split(df, test_size=0.2, random_state=42, stratify=df['label'])"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"6qCrpvDivkWk","executionInfo":{"status":"ok","timestamp":1694986052357,"user_tz":0,"elapsed":71,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"f5e1dd20-9cfe-4863-cbbf-ddd160ae437b"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      tweet_id                                          safe_text  label  \\\n","9303  YMRMEDME                 mickeys measles gone international    0.0   \n","3907  5GV8NEZS  s1256 new extends exemption charitable immunit...    0.0   \n","795   EI10PS46  user ignorance vaccines isnt dangerous innocen...    1.0   \n","5791  OM26E6DG  pakistan partly suspends polio vaccination pro...    0.0   \n","3431  NBBY86FX                        news ive gone like 1000 mmr    0.0   \n","\n","      agreement  \n","9303   1.000000  \n","3907   1.000000  \n","795    0.666667  \n","5791   1.000000  \n","3431   1.000000  "],"text/html":["\n","  <div id=\"df-9f8d1fe0-32bb-4f08-89e9-44efbbef3e70\" 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\" 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'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":29}],"source":["eval.head()"]},{"cell_type":"code","execution_count":30,"metadata":{"id":"H8Im3t3ZvkWk","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694986052359,"user_tz":0,"elapsed":57,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"fbccdced-0b88-42e2-b247-1588a7935645"},"outputs":[{"output_type":"stream","name":"stdout","text":["new dataframe shapes: train is (7999, 4), eval is (2000, 4)\n"]}],"source":["print(f\"new dataframe shapes: train is {train.shape}, eval is {eval.shape}\")"]},{"cell_type":"markdown","metadata":{"id":"i6OgirN9vkWl"},"source":["#### SAVING THE TRAIN AND EVAL SUBSET"]},{"cell_type":"code","execution_count":31,"metadata":{"id":"2tIfkT_JvkWl","executionInfo":{"status":"ok","timestamp":1694986052361,"user_tz":0,"elapsed":53,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Save splitted subsets\n","train.to_csv(\"/content/NLP-Sentiment-Analysis/data/train_subset.csv\", index=False)\n","eval.to_csv(\"/content/NLP-Sentiment-Analysis/data/eval_subset.csv\", index=False)"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["54c7485a9a834eb4878afdb000418d9c","6f135ffbc7ca41128847ecc2b06ac812","e6a4701551534f3aba139dd07cafb5f0","f53dc69246d04664a72319330aa2b7de","6e5cef8f88b948dcb90bcb99b55e7dc2","c7ef1df770044af9824e33b2c97078ff","0343ce02827b43c78c03b0ba46c07566","c51007811faf4c0e89c0f051a73ea760","f861af6c12fb46ac9bd49471368d7327","91f9b1bef27541e0b2ae137654b1484a","d7854c11c4e243b8aced05a0882929e8","3df26ca3d2744fa2a1a5f29eaa667b04","2d813eb8cd6249949f1357addf373039","385f9588227a44aca462b31c7e7497d3","6f3a2d4b610349279004211e0a95152c","de145ee78e9e4ce9b4dfcec824ed93d0","2a5c7ad932284a86aef6e668ebacd0e8","d5f6789a99214346b987ec652130a1d1","d4b42e8932c1417e8b3c5b4530adbf36","5b5cc84c59204a97b54bbf9601fa2e11","9c3d995d3d8447cab3c1375bb37bd790","d99f3ca7e28d49ed93f79e08977012bd","558b254554b8415ba9e5427d75bb9f04","df1c89f55ff24dec8997e2eff89b899d","43ebeb8b78454fa8bdb1524e24f2a548","7c5c8ad3a54a434089c2d52f7e1e7e9a","d45574f7c2354031854267720689c24e","9c978e75f631478781f215e35fdba898","479880215d74426c9e22d2efcae65432","d2515530e3c542f0b75b5d0948f32601","d2c40ef587424777958927294415d166","102f7f01376844a18e739ffe1c4b196d","2c580e9183f24960a0693ac6ac2c93da","b792d92322f1486f981679d3e949f85b","ad0ccd36faea4248857059e985ce505f","7a43089705694661ba789321f1a36586","9a2992aa7506449da0adebe874140c49","cc7c0eac780b4f8c92474bc99a21fcdc","5ad99c44672449b8bad32717ab3313b7","2f9ff7e70adc4f15871cb8d815bb75ee","f42cc778c5d945e7b2a52a1cba6bd9f8","9892720008ed4dee9d912d66f0bd0761","1d62f40b78b14db1b006f9e33c53ea3b","bea37fef513d40aab6911e55fa443c41"]},"id":"KuTWvkF9vkWl","executionInfo":{"status":"ok","timestamp":1694986053418,"user_tz":0,"elapsed":1109,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"9aad2edc-d4e7-45ef-84f2-682d7b956d4d"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading data files:   0%|          | 0/2 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"54c7485a9a834eb4878afdb000418d9c"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Extracting data files:   0%|          | 0/2 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"3df26ca3d2744fa2a1a5f29eaa667b04"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating train split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"558b254554b8415ba9e5427d75bb9f04"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating eval split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b792d92322f1486f981679d3e949f85b"}},"metadata":{}}],"source":["dataset = load_dataset('csv',\n","                        data_files={'train': '/content/NLP-Sentiment-Analysis/data/train_subset.csv',\n","                        'eval': '/content/NLP-Sentiment-Analysis/data/eval_subset.csv'}, encoding = \"ISO-8859-1\")\n"]},{"cell_type":"code","execution_count":33,"metadata":{"id":"CYgBhVjfvkWl","colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["f5e1ea1b62a94ced8891602428ed9609","55877eb4f66141a4b844150fd7004366","0105249b76b64029be4e2611065ba4b1","6de8453d8afc442e8231161c1aca8b6a","e0afeca9d9f9492c8460fd8b3dc3bab1","571aae40de3542fc951ce2ee0799fea1","a61e06c8f3834b7c9b81dd906a67be2f","097b40098b47443eb0635469e1d4c973","234e90e45a3f4252a450153db63adc3c","a76065fd3e474191ad80d0114b0d6e55","e1c519f89c6e4521bc609e572fb6b8e9","69e674f6dbf14dc386db0162354f0513","1a46c1ae23a94f00a90738c26e5b06dd","db9d4bf23e6641a8af7c61ef4fed45ac","6919428f641d404f93820bdd8ee42814","81dcb4115cc740fb9a957058997d0cbe","e93aee01bcd942babe2f799e36a8f517","4d68d49f11bf486f97e4a2e4f576a1ba","a58efa7cd8964d61af4a74db1bfb4658","06125a7c9d7841cca82651360e6ea796","614d69957af94a5bb12e5534b15c7459","5a3a849c43994d6583d2aa684c6f5569","463e01a0b25341d483f1761d8c5e9230","1a45f16bc4094214bd7546e198ae26cb","0bebe9fbccdf458eb648ba5746f3b584","669a358fea2e4b28b45ac23f3ad9c6c6","3db5b86966eb414f88b35df7cccfb37c","d772418eb5fc4998b1a7e13e1f04cfeb","2d673caec6054c01b01ca5830c6742a5","162d7d20bcdb46e09f9a49a9246803a5","a3e545cbcef34e18ab1e85bcfedaeee7","9db8cae909b24a85b45d0da7a22efb7c","a8d143f706cf47aabb542adb6defd39c","1e018dbcde64448e97eed3b7a2b7d9cc","362b425a84a44280965ccec68bdacfbc","2078a7299a244cbf8bcc19382f7c44b6","db95077f655345f087b15b16ec5f4d1c","72928c8e148b44a0abc7b73294269c89","b0f3e241db87483cae49d922279645be","d6ac979c7edb43c3af1f9f44d4848af7","eb2bc11cd34a4a6c8d058a1c4aa27a8b","6c67bdd92a2d4eb2aeadba5086b2f2fd","fb70ac339e3e41bfbf4a6c6d20154ec9","d178785d1d034232ad81d2f948d83996"]},"executionInfo":{"status":"ok","timestamp":1694986053865,"user_tz":0,"elapsed":476,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"a04dbfb4-67d4-4295-db26-d157d14f5b64"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)okenizer_config.json:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f5e1ea1b62a94ced8891602428ed9609"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/483 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"69e674f6dbf14dc386db0162354f0513"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"463e01a0b25341d483f1761d8c5e9230"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)/main/tokenizer.json:   0%|          | 0.00/466k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1e018dbcde64448e97eed3b7a2b7d9cc"}},"metadata":{}}],"source":["#Setting our tokenizer\n","tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["cbebfde216d943bfaa967beaae4fb20b","23836765e76841dc90f0312357c9c948","8f9cd93bcd5844ea81b3e2d89dc6cb64","b81919dd132d48a1852853472d77290c","279c9da526eb44048bfc6c8fcdd297fc","c1766e192d8b4fc09b5d75e4959ab882","a8a6bee40fca4e7a912374dc2df25a8e","a0dc8528cbb1469abab112117ac56382","ec37b9aa5c404652b4f97df401549a89","1dad9da362bd4f1c839394a87a44469b","cd2f308960ce4b43b1f6aa738c3d611a","56be43e1612540d996440e08e9097275","dd7b9f68bcbd46ae8b598211db5a2544","5fc379048de4409f844ea3ee2d2be97a","3d8267345b454a9b9c6adc0da633c1f7","59e88949ec8c40ae9309c5032c7216f8","3adaa8dc0c7e45ea83e50a886e796331","3317a832583c4c42816d8ff11de128e7","2eb7319b51b0499897e11c3028fa30d2","550f261ae328423aaed6bcdd178320f2","91f5bb03d3f74c4d8ac3cdb42aec6657","9768da3c1f0543988b4e56a887c2af0f","16fa85fe7c9b498a9dd11290758b0218","d87294dddd3f40f39ea6e409d27f1e4c","60617329d4ef4fbaa6ecb6b3d39a4446","163c655abfa647e997acdf6164ea830f","f6a092feffb3460eba973cd594ca09a7","3bc9ba7790f649d48a00db3e50403497","fc9ed475927e4f25a016e94413607344","fa85041fa0214f0eb779b13ddd04bab5","f584e8fdcd98497a837e88a0a1b0f269","9ec0a792e61a4c3e9495bf9ca7d7d177","b92555a0cfd045aa8d4f18a9e027af20","023f0a54bd114f508ea6ca4029662e5c","780a9b2a776248f58f8a9932521ca21b","018e42355a5b43a0b670d924c58f2d38","42a8d1f51a7e4a9189a9eca690183781","ab217aa777fc4305b61f2d0294adbace","ac9a77b773944143b444fe2346d317b8","24f0a9fe4f3a46b6b2dcdaf6d90333a5","314c3b0d819c4926bd00dd78702cf6ae","d7a71b9a5cc1492e9cc87839f9999cbe","96b7f1b5770046f98690c9eed5acfbea","d655da9faa044caf814257a1c13aad0a"]},"id":"c3vlOEOBvkWm","executionInfo":{"status":"ok","timestamp":1694986059037,"user_tz":0,"elapsed":5190,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"a93c5592-cdfb-492d-aca1-98b7f3c47f4f"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/7999 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cbebfde216d943bfaa967beaae4fb20b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/2000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"56be43e1612540d996440e08e9097275"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/7999 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"16fa85fe7c9b498a9dd11290758b0218"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/2000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"023f0a54bd114f508ea6ca4029662e5c"}},"metadata":{}}],"source":["# Function to transform labels\n","def transform_labels(label):\n","\n","    label = label['label']\n","    num = 0\n","    if label == -1: #'Negative'\n","        num = 0\n","    elif label == 0: #'Neutral'\n","        num = 1\n","    elif label == 1: #'Positive'\n","        num = 2\n","\n","    return {'labels': num}\n","\n","# Function to tokenize data\n","def tokenize_data(example):\n","    return tokenizer(example['safe_text'], padding='max_length')\n","\n","# Change the tweets to tokens that the models can exploit\n","dataset = dataset.map(tokenize_data, batched=True)\n","\n","# Transform\tlabels and remove the unwanted columns\n","remove_columns = ['tweet_id', 'label', 'safe_text', 'agreement']\n","dataset = dataset.map(transform_labels, remove_columns=remove_columns)"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JvALNT0yvkWm","executionInfo":{"status":"ok","timestamp":1694986059039,"user_tz":0,"elapsed":61,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e396a5a4-d83b-4960-dabe-bd36f7f00558"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["DatasetDict({\n","    train: Dataset({\n","        features: ['input_ids', 'attention_mask', 'labels'],\n","        num_rows: 7999\n","    })\n","    eval: Dataset({\n","        features: ['input_ids', 'attention_mask', 'labels'],\n","        num_rows: 2000\n","    })\n","})"]},"metadata":{},"execution_count":35}],"source":["dataset"]},{"cell_type":"code","execution_count":36,"metadata":{"id":"E6FAB8-tvkWm","executionInfo":{"status":"ok","timestamp":1694986059040,"user_tz":0,"elapsed":54,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# dataset['train']"]},{"cell_type":"code","source":["from huggingface_hub import notebook_login\n","\n","notebook_login()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["1419b65b8472405389d6fe2ff6169e1c","f303e6b96b7842309172eb4a5ea888d4","9d07c9d67ab24530bcb195f430f3ed25","536181360c504266a4b00bbb1a558cd4","bfe2fc49185e442b8f19f30b03cc9281","0dd34518178b4cc98cc3ab8a04a36cbe","fd747fb0723e4a2ea971d6de6c289251","041ae752a2b6478c8f89bba95bd6c567","b5ebbad3e408423cbcbd15470e2ce491","f1da22493b604992ae8b172963da9680","0de349dbce374bc8983f11bd10d892d3","928768792a8c4f2396cf0473064d7505","3e85e58696d344ed8135ab37e47b58ab","b4b1c40c8c264ba2942c1ed29009f6bd","28d17cadd3614d3db2af984924164cee","b7fecb5e3a8b42998e9d7de49fcbc109","ec3bef8243a9414a8047ffa52c285ff6","94486ebb51f04ce79e4f1eaafecb6bd8","9c695ec8aa7c4ad8b1e3c473f37195a6","9d068f04ba964f27ab9b79025b0b1776","3147a6e30a8b44719ebd8150906faf57","f629477d6de6478db3928e3195de8b04","62107407885c43faad8a55c9735410ca","88ffdaedd9494fc5a5c92491ca17ca5f","ec017bff114e4da98a4c16a0de35e9d5","2581db324a8745a885bef91f3609e340","f95aa934fde241998d257132a3bd6bae","4672627cb1d34f308694682743dccbad","0f945911e104455696a296172a6df152","ddb5b15d83e1421fa11a2da5ba1e61b5","7fe79adaadc84704b0347023803a6f1e","ca87690cc7a04f9598fd364a254847cb"]},"id":"g_R-XZdFp7sF","executionInfo":{"status":"ok","timestamp":1694986059041,"user_tz":0,"elapsed":53,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"7d9b908c-05a3-4d61-90bc-1d5c2f4e270d"},"execution_count":37,"outputs":[{"output_type":"display_data","data":{"text/plain":["VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1419b65b8472405389d6fe2ff6169e1c"}},"metadata":{}}]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kGYtPPcvvkWn","executionInfo":{"status":"ok","timestamp":1694986072131,"user_tz":0,"elapsed":13139,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"739990a9-3f63-4690-dccd-5993e5810e3b"},"outputs":[{"output_type":"stream","name":"stderr","text":["Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n"]}],"source":["from transformers import TrainingArguments\n","\n","# Configure the trianing parameters like `num_train_epochs`:\n","# the number of time the model will repeat the training loop over the dataset\n","training_args = TrainingArguments(\n","    \"Sentiment-Analysis-Model\",\n","    num_train_epochs=10,\n","    load_best_model_at_end=True,\n","    evaluation_strategy=\"steps\",\n","    save_strategy=\"steps\",\n","    push_to_hub=True\n","    )"]},{"cell_type":"markdown","metadata":{"id":"iK53TOHovkWn"},"source":["#### LOADING PRETRAINED MODEL"]},{"cell_type":"code","execution_count":39,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":105,"referenced_widgets":["09af8a2b5740466690d922b5979ff88f","ade6d726c83c42eeb26e004330d951b2","f340e75200e2469cb895aa791dbfc27a","c9b681cc47554282b0e42e776794d67d","9d11edfcfa9d4be7ae5169f930bf5eae","e04904af230e4809b59b42674ee40bf0","a9a69c80635143db90e4acfdd2c9feb1","df1d82bcde0f44e4be108c912af233dc","6e8705c956fa49ee895c54c79df53ef5","e9b5e34d60b9479a919e438ce08ea575","82baf62a54044047aeac8e937eebd6bc"]},"id":"NDIKxAcfvkWn","executionInfo":{"status":"ok","timestamp":1694986075296,"user_tz":0,"elapsed":3186,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e69698e8-f0b5-4150-e206-03e59517204e"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"09af8a2b5740466690d922b5979ff88f"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.weight', 'classifier.bias', 'pre_classifier.bias', 'classifier.weight']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"]}],"source":["# Loading a pretrain model while specifying the number of labels in our dataset for fine-tuning\n","model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", num_labels=3)"]},{"cell_type":"markdown","metadata":{"id":"t6sAGKwyvkWn"},"source":["#### SPLITTING TRAIN SET"]},{"cell_type":"code","execution_count":40,"metadata":{"id":"2O5iPn9LvkWo","executionInfo":{"status":"ok","timestamp":1694986075297,"user_tz":0,"elapsed":16,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["train_dataset = dataset['train'].shuffle(seed=10) #.select(range(40000)) # to select a part\n","eval_dataset = dataset['eval'].shuffle(seed=10)\n","\n","## other way to split the train set ... in the range you must use:\n","# # int(num_rows*.8 ) for [0 - 80%] and  int(num_rows*.8 ),num_rows for the 20% ([80 - 100%])\n","# train_dataset = dataset['train'].shuffle(seed=10).select(range(40000))\n","# eval_dataset = dataset['train'].shuffle(seed=10).select(range(40000, 41000))"]},{"cell_type":"markdown","metadata":{"id":"IbMPxkHQvkWo"},"source":["#### EVALUATION METRIC"]},{"cell_type":"code","execution_count":41,"metadata":{"id":"LevxW5kVvkWo","executionInfo":{"status":"ok","timestamp":1694986075298,"user_tz":0,"elapsed":14,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["\n","def compute_f1_score(pred):\n","    labels = pred.label_ids\n","    preds = np.argmax(pred.predictions, axis=1)\n","    f1 = f1_score(labels, preds, average=\"weighted\")\n","    return {\"f1_score\": f1}\n","\n","\n","# metric = load_metric(\"accuracy\")\n","\n","# def compute_metrics(eval_pred):\n","#     logits, labels = eval_pred\n","#     predictions = np.argmax(logits, axis=-1)\n","#     return metric.compute(predictions=predictions, references=labels)\n","\n","\n","###################################################################\n","\n","# def compute_metrics(eval_pred):\n","#    load_accuracy = load_metric(\"accuracy\")\n","#    load_f1 = load_metric(\"f1\")\n","\n","#    logits, labels = eval_pred\n","#    predictions = np.argmax(logits, axis=-1)\n","#    accuracy = load_accuracy.compute(predictions=predictions, references=labels)[\"accuracy\"]\n","#    f1 = load_f1.compute(predictions=predictions, references=labels)[\"f1\"]\n","#    return {\"accuracy\": accuracy, \"f1\": f1}\n","\n","\n","\n","# repo_name = \"finetuning-sentiment-model-3000-samples\"\n","\n","# training_args = TrainingArguments(\n","#    output_dir=repo_name,\n","#    learning_rate=2e-5,\n","#    per_device_train_batch_size=16,\n","#    per_device_eval_batch_size=16,\n","#    num_train_epochs=2,\n","#    weight_decay=0.01,\n","#    save_strategy=\"epoch\",\n","#    push_to_hub=True,\n","# )\n","\n","# trainer = Trainer(\n","#    model=model,\n","#    args=training_args,\n","#    train_dataset=tokenized_train,\n","#    eval_dataset=tokenized_test,\n","#    tokenizer=tokenizer,\n","#    data_collator=data_collator,\n","#    compute_metrics=compute_metrics,\n","# )\n"]},{"cell_type":"markdown","metadata":{"id":"_rC1mt1lvkWo"},"source":["#### MODEL TRAINING SETUP"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"E7xx_da4vkWo","executionInfo":{"status":"ok","timestamp":1694986105887,"user_tz":0,"elapsed":390,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["from transformers import Trainer\n","\n","\n","# Model Training Setup\n","trainer = Trainer(\n","    model=model,\n","    args=training_args,\n","    train_dataset=train_dataset,\n","    eval_dataset=eval_dataset,\n","    tokenizer=tokenizer,\n","    compute_metrics=compute_f1_score,\n","\n",")\n"]},{"cell_type":"code","execution_count":44,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":777},"id":"9uEivleEvkWp","executionInfo":{"status":"ok","timestamp":1694990723433,"user_tz":0,"elapsed":4617144,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"1deb1c9f-e493-4bc0-a2d6-ff53ec506298"},"outputs":[{"output_type":"stream","name":"stderr","text":["You're using a DistilBertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='10000' max='10000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [10000/10000 1:16:46, Epoch 10/10]\n","    </div>\n","    <table border=\"1\" class=\"dataframe\">\n","  <thead>\n"," <tr style=\"text-align: left;\">\n","      <th>Step</th>\n","      <th>Training Loss</th>\n","      <th>Validation Loss</th>\n","      <th>F1 Score</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>500</td>\n","      <td>0.746100</td>\n","      <td>0.752795</td>\n","      <td>0.652253</td>\n","    </tr>\n","    <tr>\n","      <td>1000</td>\n","      <td>0.684500</td>\n","      <td>0.642532</td>\n","      <td>0.713165</td>\n","    </tr>\n","    <tr>\n","      <td>1500</td>\n","      <td>0.572900</td>\n","      <td>0.646263</td>\n","      <td>0.741486</td>\n","    </tr>\n","    <tr>\n","      <td>2000</td>\n","      <td>0.567400</td>\n","      <td>0.622652</td>\n","      <td>0.730419</td>\n","    </tr>\n","    <tr>\n","      <td>2500</td>\n","      <td>0.410000</td>\n","      <td>0.909138</td>\n","      <td>0.733544</td>\n","    </tr>\n","    <tr>\n","      <td>3000</td>\n","      <td>0.401700</td>\n","      <td>0.830395</td>\n","      <td>0.735998</td>\n","    </tr>\n","    <tr>\n","      <td>3500</td>\n","      <td>0.269100</td>\n","      <td>1.217683</td>\n","      <td>0.720221</td>\n","    </tr>\n","    <tr>\n","      <td>4000</td>\n","      <td>0.312800</td>\n","      <td>1.119700</td>\n","      <td>0.737648</td>\n","    </tr>\n","    <tr>\n","      <td>4500</td>\n","      <td>0.197000</td>\n","      <td>1.295084</td>\n","      <td>0.734087</td>\n","    </tr>\n","    <tr>\n","      <td>5000</td>\n","      <td>0.188700</td>\n","      <td>1.450794</td>\n","      <td>0.723946</td>\n","    </tr>\n","    <tr>\n","      <td>5500</td>\n","      <td>0.110000</td>\n","      <td>1.544748</td>\n","      <td>0.720337</td>\n","    </tr>\n","    <tr>\n","      <td>6000</td>\n","      <td>0.146200</td>\n","      <td>1.490919</td>\n","      <td>0.738281</td>\n","    </tr>\n","    <tr>\n","      <td>6500</td>\n","      <td>0.090700</td>\n","      <td>1.480852</td>\n","      <td>0.733250</td>\n","    </tr>\n","    <tr>\n","      <td>7000</td>\n","      <td>0.089000</td>\n","      <td>1.719120</td>\n","      <td>0.724408</td>\n","    </tr>\n","    <tr>\n","      <td>7500</td>\n","      <td>0.061300</td>\n","      <td>1.772456</td>\n","      <td>0.729437</td>\n","    </tr>\n","    <tr>\n","      <td>8000</td>\n","      <td>0.066500</td>\n","      <td>1.808321</td>\n","      <td>0.728951</td>\n","    </tr>\n","    <tr>\n","      <td>8500</td>\n","      <td>0.045800</td>\n","      <td>1.829676</td>\n","      <td>0.734593</td>\n","    </tr>\n","    <tr>\n","      <td>9000</td>\n","      <td>0.039500</td>\n","      <td>1.885286</td>\n","      <td>0.730380</td>\n","    </tr>\n","    <tr>\n","      <td>9500</td>\n","      <td>0.028700</td>\n","      <td>1.968413</td>\n","      <td>0.727317</td>\n","    </tr>\n","    <tr>\n","      <td>10000</td>\n","      <td>0.020400</td>\n","      <td>1.991883</td>\n","      <td>0.730766</td>\n","    </tr>\n","  </tbody>\n","</table><p>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["TrainOutput(global_step=10000, training_loss=0.2524114185333252, metrics={'train_runtime': 4610.2748, 'train_samples_per_second': 17.35, 'train_steps_per_second': 2.169, 'total_flos': 1.059625618430976e+16, 'train_loss': 0.2524114185333252, 'epoch': 10.0})"]},"metadata":{},"execution_count":44}],"source":["# Launch the learning process: training\n","trainer.train()"]},{"cell_type":"code","execution_count":45,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":146},"id":"K-PmokkevkWp","executionInfo":{"status":"ok","timestamp":1694990757621,"user_tz":0,"elapsed":34295,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"820c1e42-1b46-4e51-b888-213e084f55ac"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='250' max='250' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [250/250 00:34]\n","    </div>\n","    "]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["{'eval_loss': 0.6226522326469421,\n"," 'eval_f1_score': 0.7304189105102549,\n"," 'eval_runtime': 34.2054,\n"," 'eval_samples_per_second': 58.47,\n"," 'eval_steps_per_second': 7.309,\n"," 'epoch': 10.0}"]},"metadata":{},"execution_count":45}],"source":["# Launch the final evaluation\n","trainer.evaluate()"]},{"cell_type":"code","execution_count":46,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":36},"id":"AB4d6zyEvkWq","executionInfo":{"status":"ok","timestamp":1694990763293,"user_tz":0,"elapsed":5713,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e105d9e0-e690-4bb9-fa04-23212cd26694"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/tree/main/'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":46}],"source":["trainer.push_to_hub()"]},{"cell_type":"code","source":["model.push_to_hub('Sentiment-Analysis-Model')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jGf5NG3sCf2B","executionInfo":{"status":"ok","timestamp":1694990764774,"user_tz":0,"elapsed":1529,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"7b68c3c6-a393-499c-a199-9c86bfc26e2c"},"execution_count":47,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CommitInfo(commit_url='https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/commit/2a7250b7bf87f3472f6697f7a3d574aec01e03c0', commit_message='Upload DistilBertForSequenceClassification', commit_description='', oid='2a7250b7bf87f3472f6697f7a3d574aec01e03c0', pr_url=None, pr_revision=None, pr_num=None)"]},"metadata":{},"execution_count":47}]},{"cell_type":"code","source":["tokenizer.push_to_hub('Sentiment-Analysis-Model')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Y-JznP4IChVA","executionInfo":{"status":"ok","timestamp":1694990765266,"user_tz":0,"elapsed":503,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e7398068-2471-4e88-e562-31b46062bc43"},"execution_count":48,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CommitInfo(commit_url='https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/commit/edd8afb9715874780d32ca53df9763d2fa661c39', commit_message='Upload tokenizer', commit_description='', oid='edd8afb9715874780d32ca53df9763d2fa661c39', pr_url=None, pr_revision=None, pr_num=None)"]},"metadata":{},"execution_count":48}]},{"cell_type":"code","source":[],"metadata":{"id":"ByIGhdp-rvr5","executionInfo":{"status":"ok","timestamp":1694990765268,"user_tz":0,"elapsed":17,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"execution_count":48,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"_Lfpa0IXvkWq"},"source":["Some checkpoints of the model are automatically saved locally in `Sentiment-Analysis-Model/` during the training."]},{"cell_type":"markdown","metadata":{"id":"nh467hRXvkWq"},"source":["You may also upload the model on the Hugging Face Platform... [Read more](https://huggingface.co/docs/hub/models-uploading)"]},{"cell_type":"markdown","metadata":{"id":"v8MQuGKtvkWq"},"source":["This notebook is inspired by an article: [Fine-Tuning Bert for Tweets Classification ft. Hugging Face](https://medium.com/mlearning-ai/fine-tuning-bert-for-tweets-classification-ft-hugging-face-8afebadd5dbf)"]},{"cell_type":"markdown","metadata":{"id":"I5RyddIQvkWq"},"source":["Do not hesitaite to read more and to ask questions, the Learning is a lifelong activity."]}],"metadata":{"kernelspec":{"display_name":"Python 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