notebooks/EDA & Data Preparation - Energy_Forecasting.ipynb

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   "source": [
    "<a href=\"https://github.com/labrijisaad/Kedro-Energy-Forecasting-Machine-Learning-Pipeline/blob/main/notebooks/EDA & Data Preparation - Energy_Forecasting.ipynb\" target=\"_blank\">\n",
    "  <img src=\"https://img.shields.io/badge/Open%20in-GitHub-blue.svg\" alt=\"Open In GitHub\"/>\n",
    "</a>"
   ]
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  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "## <center><a><span style=\"color:red\">Kedro `EDA & Data Preparation` Energy Forecasting Dataset</span></a></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03e3d3c6-5618-4d8d-9b5f-ae7d44d04f7c",
   "metadata": {},
   "source": [
    "### Import the needed libraries"
   ]
  },
  {
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   "execution_count": 1,
   "id": "121a2b9d-5526-4916-869a-1e18fd90108d",
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   "source": [
    "# Supress warnings\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Data manipulation\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "pd.set_option(\"display.max_rows\", 4)\n",
    "\n",
    "# Visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "color_pal = sns.color_palette(\"husl\", 9)\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "\n",
    "# Utilities\n",
    "import re\n",
    "\n",
    "# Data missingness visualization\n",
    "import missingno as msno"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90cf56ba-bf0b-4b8e-a90c-09ce11f7e13e",
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   "source": [
    "### Importing Data\n",
    "\n",
    "First, we will download and prepare the Household Electric Power Consumption data available at the [link](https://archive.ics.uci.edu/dataset/235/individual+household+electric+power+consumption). Additionally, we will perform some light transformations to convert it into a time series with a daily frequency."
   ]
  },
  {
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   "execution_count": 2,
   "id": "03021957-4862-4636-a720-b2c252773851",
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   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-11-26</th>\n",
       "      <td>1488.104</td>\n",
       "      <td>120.826</td>\n",
       "      <td>303487.57</td>\n",
       "      <td>6259.8</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>9989.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power    Voltage  \\\n",
       "2010-11-26           1488.104                120.826  303487.57   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \n",
       "2010-11-26            6259.8          1080.0           385.0          9989.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
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   "source": [
    "def prepare_power_consumption_data(csv_file_path: str) -> pd.DataFrame:\n",
    "    \"\"\"\n",
    "    Preprocess the household power consumption data.\n",
    "\n",
    "    Args:\n",
    "        csv_file_path (str): The path to the CSV file containing the power consumption data.\n",
    "\n",
    "    Returns:\n",
    "        pd.DataFrame: The preprocessed power consumption data, resampled daily.\n",
    "    \"\"\"\n",
    "    # Read the CSV data\n",
    "    consumptions = pd.read_csv(\n",
    "        csv_file_path,\n",
    "        sep=\";\",\n",
    "        header=0,\n",
    "        na_values=\"?\",\n",
    "        dtype={\"Date\": str, \"Time\": str, \"Global_active_power\": np.float64},\n",
    "        infer_datetime_format=False,\n",
    "    )\n",
    "\n",
    "    # Standardise column names using lower case\n",
    "    consumptions.rename(\n",
    "        columns={\n",
    "            \"Date\": \"date\",\n",
    "            \"Time\": \"time\",\n",
    "            \"Global_active_power\": \"total_consumption\",\n",
    "        },\n",
    "        inplace=True,\n",
    "    )\n",
    "\n",
    "    # Define the dataframe index based on the timestamp (date-time)\n",
    "    consumptions.index = pd.to_datetime(\n",
    "        consumptions.date + \"-\" + consumptions.time, format=\"%d/%m/%Y-%H:%M:%S\"\n",
    "    )\n",
    "\n",
    "    # Drop the date and time variables that are now redundant with the index\n",
    "    consumptions.drop(columns=[\"date\", \"time\"], inplace=True)\n",
    "\n",
    "    # Resample the data to daily sums\n",
    "    consumptions_df = consumptions.resample(\"D\").sum()\n",
    "\n",
    "    return consumptions_df\n",
    "\n",
    "\n",
    "# prepare_power_consumption_data_node\n",
    "consumptions_df = prepare_power_consumption_data(\n",
    "    \"../data/01_raw/household_power_consumption.zip\"\n",
    ")\n",
    "consumptions_df.tail(1)"
   ]
  },
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   "cell_type": "markdown",
   "id": "aa215b85-fa0e-412f-8e8d-8629bf76e01c",
   "metadata": {},
   "source": [
    "### <a><span style=\"color:red\">`EDA` - Exploratory Data Analysis</span></a>\n",
    "In this part, we will conduct Exploratory Data Analysis (EDA) to gather as much information about the data as possible. This will help us in selecting an appropriate ML model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "61d3d7e3-01db-41b3-a4c5-13d6ea72d0e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>1209.176</td>\n",
       "      <td>34.922</td>\n",
       "      <td>93552.53</td>\n",
       "      <td>5180.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4926.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-17</th>\n",
       "      <td>3390.460</td>\n",
       "      <td>226.006</td>\n",
       "      <td>345725.32</td>\n",
       "      <td>14398.6</td>\n",
       "      <td>2033.0</td>\n",
       "      <td>4187.0</td>\n",
       "      <td>13341.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power    Voltage  \\\n",
       "2006-12-16           1209.176                 34.922   93552.53   \n",
       "2006-12-17           3390.460                226.006  345725.32   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \n",
       "2006-12-16            5180.8             0.0           546.0          4926.0  \n",
       "2006-12-17           14398.6          2033.0          4187.0         13341.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe head\n",
    "consumptions_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "49471b34-25c1-49b6-b624-98fe88383ee9",
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   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-11-25</th>\n",
       "      <td>1431.164</td>\n",
       "      <td>116.128</td>\n",
       "      <td>347812.21</td>\n",
       "      <td>6004.0</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>5072.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-11-26</th>\n",
       "      <td>1488.104</td>\n",
       "      <td>120.826</td>\n",
       "      <td>303487.57</td>\n",
       "      <td>6259.8</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>9989.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power    Voltage  \\\n",
       "2010-11-25           1431.164                116.128  347812.21   \n",
       "2010-11-26           1488.104                120.826  303487.57   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \n",
       "2010-11-25            6004.0          1076.0           426.0          5072.0  \n",
       "2010-11-26            6259.8          1080.0           385.0          9989.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe tail\n",
    "consumptions_df.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a2d00bfd-9a56-4eb5-b12b-0ac4ba0cfcf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_consumption', 'Global_reactive_power', 'Voltage',\n",
       "       'Global_intensity', 'Sub_metering_1', 'Sub_metering_2',\n",
       "       'Sub_metering_3'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print the Column names\n",
    "consumptions_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a45009b9-955c-4325-bb45-c7513f69fc83",
   "metadata": {},
   "source": [
    "Only one column is present, and it's the target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1e210d79-3c34-41f5-bd7b-6b7e0a967250",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1442, 7)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 1442 entries, 2006-12-16 to 2010-11-26\n",
      "Freq: D\n",
      "Data columns (total 7 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   total_consumption      1442 non-null   float64\n",
      " 1   Global_reactive_power  1442 non-null   float64\n",
      " 2   Voltage                1442 non-null   float64\n",
      " 3   Global_intensity       1442 non-null   float64\n",
      " 4   Sub_metering_1         1442 non-null   float64\n",
      " 5   Sub_metering_2         1442 non-null   float64\n",
      " 6   Sub_metering_3         1442 non-null   float64\n",
      "dtypes: float64(7)\n",
      "memory usage: 90.1 KB\n"
     ]
    }
   ],
   "source": [
    "print(consumptions_df.shape)\n",
    "consumptions_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80373b4-1a30-465f-9e52-8b8ca86cb018",
   "metadata": {},
   "source": [
    "We have a total of **1442** records over the time in the df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66e17a20-b28c-45fd-b8f9-934e487d2ed4",
   "metadata": {},
   "source": [
    "#### Visualizing Electric Power Consumption Over Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ccf4d7aa-27e8-4b02-b6a6-4b03aae1f0c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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9+7yPL1myRPXr19e//vWvcucYMGCAJGnp0qWltpek/v37+7U9Qhfomo/hYnXalALrzMwHlmeqz7fJQR3cbRjWa2Yaga6ZGcDGslmv0y6YSWYmgAqQVhC5TsNqwJiJFwAQfr661lCDd9UtM9PueuyClcF+fFWvVxEAAABAVRZ0mdmZM2cqLi5OkyZNMi0h27lzZ02aNEmnnHKKvv/+e40dOzbY06mwsFCvvvqqDMNQenq6Fi5cqK1bt+rKK6/U2WefLak4mOk5r1l75s2bp+3bt6tdu3bKzc3VwYMH1b17d8XFlV2p5Z/jeI5b8t9l19Es+VjJ7a0UFBT4tV1Nl++wWMAszEr+ThxOp+l26XkOFbms27Uxvcj0OafF4pNFLrdyCwpNny90FqnA4f/QgqOwUAUF/s9byHeYX3dBgUMFBebXnZlv3u78QvPnCpxFvB8qWeHfv59Ci98TUJGsymkfyi2MWJ+R6zB/DxT93XXzPgHK43MEwcrLL1Atl3/3qp6+P99mUktOvkMFBZUTituUXqS3/szX3ly3BhxRW3d3r6u42OJCrsG+T7JtrtdR6FRBgfn6lwWFZvf3RvFravg+vtNpfVwgHPj8AOzxPgF8470B2Ivm90lCQkJA2wcdzNy9e7eOOeYY27UwO3XqpG7dumn37t3BnkpS8Yv94osven+OiYnRXXfdpSeeeML7mKeUbePGjX0eo1GjRqW28/zf87jd9nb7eNbJ9Lek7oEDB+SyCYhBOlAQI6luhZyrZEnhlLRaksqXOJakw6lpys2PU7BvofyCAknlA+iSVOBw6ODhXEl1fD6fnpmhQ0VuSf692VPT0rS3tv9/Z0kZsabHPnDwoBrmmA8M7T8cJ7N2p6RlyOz1TM/K1t69aX63EZGTnGyRUQxUoOJE73o+n9uTmqW9e1Mjct7kVPO+v/DviSi8TwBzvD9gznefvnf/fjUqd0vte9tde/YqLkY67LD+frAvOUV7iyr+e9ZhR4yu+C1BmUXFAcDVKUXanZqlBzqXDiYG+j45aHO9yYdTtNcwv97Dqb7v0YtcRdq7d68KCxPkq2jTYZvjAuHE5wdgj/cJ4BvvDcBetL1P4uLiTJMSzQQdzDQMQ7Gx/s2gjYmJscyw8EeDBg2UkZEht9utpKQkzZo1S08//bR+/fVXffXVV6YByWjWpk2bym5CleDOcUnKqJBztW/f3vvvxvn5kvJ8btcosanq5BVKMs9itFKnToLpvrXj66hx08aScnw+37BRYzVrUktStl/natKkqdq393+Ww/ZahabHbtGqtdo3Ne826uYXSMr1+VzDxokyez0T6jdQ+/YN/G4jwq+wsFDJyclq1aqVz3WKgYpWXLba9yQHZ3x9tW/fMCLnbZBr3ve7VDw4HQ3vE8Mw5DKkWrFkzCA68DkCe74noRzRpq2a1in7vdL3tq3btlNCXIxic62/HzRq2kzt2/ueYBdJP2/NV2ZR6c+QqUm19eqZrRQXGxP0+6Qo2/p6mzazvt7EQt/36LXiaql9+/aK35Qh5ZYPWjZtXjmvI2oWPj8Ae7xPAN94bwD2qtP7JOhgZseOHbV582YdOHDAMii3b98+bd68WV27dg32VKXExsaqbdu2GjNmjJo1a6brrrtOr776qp566ilvQDMzM9PnvmWzKn1lXlptX3afpk2blto+Ozu73PZWAk2jralqF5qXaw23kr+TuFrm542JqyXFBN+uGKuJADExiomrbfp0bFwtxdUyf76suFq1A/pbszi1atWOV0KCeafnjjUP7sbGmXc37pg43g9RIj4+nt8FokKhxYJpGc6YiP2dGnHm/ZinzGxlv0/e3pCttzbkKNdpaOiRdfXqGYmKjyOoiehQ2e8PVD214+soIcF3xZKy4uLrKKF2rGoXWd+HG3GB3f+Gy2NrygdhiwwpNyZeLUtcY6Dvk5gC6wmUdvf7sbV8Z1fGxhZ/nsbFxkoqv01sJb2OqJn4/ADs8T4BfOO9AdirDu8T/xfSK+OCCy5QUVGRrr/+eh08eNDnNklJSbrhhhvkdrs1aNCgoBtp5pxzzpEkLVmyRNI/a1bu2LHD5/aexz3b1a9fX61bt9bu3bt9lnstu33Jf/taF9NqPU0EL8Sk3oC43P+czG1x3iLD+nk7VvsakpwWG7j//i8c5/KlyOrcNseye82COSeAmsll0S2kOQLpBQPjsDixMwq6qp/25OuxX7OUnO9WTpGhT7fl6bnf/CtvDwDRKJDbQOfffbTdPlZ9eWUI9fuM3fXYfSq6gmyA1f07AAAAAFSkoIOZd911l4444gj9+uuvOumkk3TrrbfqzTff1Jdffqk333xTt956q3r27Klff/1VRxxxhO68885wtluSvEHU2rWLU8m6dOmiI444QitXrlRubukyOrm5uVq5cqU6duyodu3aeR/v06ePcnNztWLFinLHnzdvniSpd+/epbaXpPnz55tu79kG4eFWxX2LLpkI5Lb40l/kNgIKKJZldWy3YT1w4HYHNugT6OtneW6bgRDLYKbFk87IxSUAVFFWkzoiOUhtkRAqd4gTWcLhzQ3lS5C/vt53WXIAqAoCuQ303DPaxeYKK7uzLiPU1tjdK9t9LLpM9o8p8/+ymHAIAJHlNgxN/DNH18xP1X/XZCqloGqsU/x7SqHe2pCtn/bkW35vAwAgnIIOZjZp0kTTpk1Tly5d5HA49NVXX+nJJ5/U7bffrieffFJTpkyRw+HQ0UcfrW+++UaJiYlBnWfz5s3Kyyu/dlVeXp7+7//+T5J03nnnSSpem/Pqq69WTk6OXn755VLbv/zyy8rJydG1115b6nHPz88++6wKCwu9j8+ZM0dLlixR//791aFDB+/jQ4cOVaNGjTRhwgTt37/f+/j+/fs1ceJENWvWTBdddFFQ1wrfKvK+qOQAudUgSaiZmVa7ug27zEzDNqhY6lwBttPquuwGSqzGWayCpNz8AiiryKJDcUWwz3DadHSVnaWyPLnQfiMAqEIC6dM9QUr7zMxQWhR9bDMz7YKZQX52VfZnHgBUd2NXZurBFZn6bneBXl2XoyE/pSg/yjvfSVtz1e/7w3r81yxdMS9NNyxIi+j3MwAAPIJeM1OSunXrpqVLl2r69OmaPXu2tm3bppycHDVo0EBdu3bVwIEDNXToUG/mZDCmT5+ud955R//617/UoUMHNWzYUAcOHNDcuXOVlpamM844Q7fffrt3+3vuuUc//vijXn/9da1bt04nnnii/vjjD82fP18nn3yybrvttlLHP+uss3TNNddo0qRJOvvsszVw4EAdPHhQ06dPV5MmTfTSSy+V2j4xMVEvv/yybrnlFp199tkaOnSot51paWn66KOP1LBhw6CvF+VV5C1RyVncloE5d2ABxbKs7vOKg5nWzweUmRnOMrMhnMsu0xUASrKa5BDJ6oEOm/4okLGFOfsK9P6fOcpyGhrSsa5u615fMTGsbQkAJQWSmemZ6GJXeaQw2srMhri/3fXYlZE1e97uE8ksoxMAELr8IkOTtpauKvdnRpGWHHTovHbRuaaZy23oydWll7j4fneB1qQU6vSWdSqpVQCAmiKkYKZUvHDoqFGjNGrUqHC0p5wLLrhABw8e1KpVq7Rq1Srl5uaqUaNGOu644zRs2DBdddVVqlXrn8uoX7++fvjhB73wwgv6/vvvtXjxYrVq1Up33nmnHn74YdWtW7fcOV5//XV1795dn3zyid577z3Vr19fF110kR5//HEdeeSR5bYfNWqUmjVrpldffVWff/65YmJidOKJJ+rBBx9Uv379IvI61GQVGecqOVBgt/5jKGMklpmZsl+3MrAys4GxLjNrcy6LgRSrwRDKzAIoy6qPjeQYtV1/5E8w0zAMPbIqU+9t+mdwYnlyoQpdhu49gQlPAFBSIPe1/mZmFkRbMDPE5liVQJdCW9deMg9qBrvWJgDA3q+HC+WrquwTqzOjNpj5W6pTaY7yH0ov/p6tbwYSzAQARFbIwcxI69mzp3r27BnQPo0bN9bzzz+v559/3q/tY2Njdeutt+rWW2/1+xznnnuuzj333IDaheBUaDCz1JqZ5tv9me5UUl7w9ausxgXchmFZXtFtBBagDPT1syoPYpeNajVuRJlZAIGwLLcdwcFVu+wXq/7Z44u/8koFMj2+3J5HMBMAygjkNtAz4cQuVhlta2aG+rkV6TKzZkUDorzSIQBUaYbJZ0NBFHe+uU7fbduRVVTBLQEA1ERRH8wEKvI2ruRAgdVM5O93F4R0HqtrMvxaMzM85/IltMxM8+esXs8ovlcHUEks18yMYJ9hNwBeZNiXiZ2zz+Hz8X05/k+CyXa6tS2jSN2b1FZCLUrTAqi+Agn0Of3MzIy2NTND/dyym/hX8ulvduTpnY05ynEaGtmlnu4/oYHp62VX+ZylIAAgcsyWn4i2wlV/pBbq1T+ytTfXpfom30v4tAAAVAS/gpl33HGHJKl169Z6/PHHSz3mr5iYGL399tsBNg+IbAZOWaXWzIzgaa2uyW1IJpPdvM8H8poE+vpZlYO1G4ixOpV1mVlufQGUZtUv+JMdGaxCmwFwfyZfZJjUA3T62R9/vi1Xdy/NUJEhNagVo8kDmqpfm+gsNQUAoQok0PdPMLNmrZlpl5npmTS48IBDNy5M957vv2uzFB8bfLnYKHsZAaBaiTOZUBJNwyP7coo0ZFaKsgqtG0VVcgBARfArmPn5559Lkrp27eoNZnrWijQri1AWwUwEqyJvikoOYkdyNpxlZqasZ0G7AlwzM9DXz2qwwzYz0+LKiiyOy5qZAMqyXjMzgmVmbTMz7Y9h1nZ/grCH8126Y0mGtzfNKTJ0/YI0bbv8CNWKNU+hcRuGYu1SbAAgCgW2ZqZ/+ziiaSRY1pP6/OHvmpkT/8wpdzc+/s9cXXl0PZ/72X1qRHLyEADUdGa39tH0EfbtrnzbQKZEZiYAoGL4Fcx8+OGHJUnNmjUr9xgQaRVaZrbCMjOtn7MK7hlGYK9JoNdhXWY2+PV6rAZDyMwEIBX3MV/vyNeqQ4XKtugII9ll2PVH/mSpmAVbXUbx2jhmJaUk6fO/8sr18ekOQwsOOHRuO/PszCK3FB9n37aaamdWkb7fna/asTG6uFNdta3PiwVEi0D6dM+EP7td7DIZK5rVhD9/2GWaep6euaf8Uhj7cl32a2aaPG41GREAEJpYk8crsjqZncd+zfJrO4Z0AAAVwa9g5tixY/16DIiEirwpcpb4pu9v1nEwrIOZhmVmpjvQzMwA2iXZZ4Vasc6ksjqnTaMA1AgPr8jUxM25tttFcozabp01fzIzrdcPlqyWwFx5qNDn439lFelcy3YZirfNsamZfk8p1MU//1Me6/X12fppUAt1bsTS8UA0CCTb3ulvZmY1WzPTLtPUfsKh7+djvP/3/fkRZTFhAKhWzKqqVMXAYBTFXwEA1ZjZRCAgalTkjVxFZWZaZf64ZT1w4DaMgNoW6HXYZY0Gu691mVnufIGaLsPh1odb7AOZUhUoM2uZiW69r/kMbev9KNdt7p1NOaXKYyXnu/WBH0FzABUjoDKzf98k230ORFtmZqhlZu36eLvX0Oz8dtXJXdyjA0DEmJaZrdhmhIVBoVkAQAUIOpg5ZMgQv7MzH3nkEV188cXBngo1XEXeFJWcxR3J7+5WmYh2mZduBVZ2JNASJVYD9XZHsjpXKIP7AKq/73fn+50BEsgYdX6RoQ825+i+Zen68q882z7RbnLFrEO1lGmzeJnVILtdyT7ztXNsSgwy4Gzqq+355R4btzGnEloCwJdAei/Pfapdl2c3MaWihXqraxectQ1m2pWZNfnsoXoKAESOWd8dDR9hu7OL9E4A98tR0GQAQA0QdH2tJUuWqKioyK9t169fr2XLlgV7KtRwFVpmtmRmZgWdpyy3YT0QHmiZ2UCvw7LMrG2JK/PnrMvMcusL1HQFAUQo/d3U6TZ01fxUzdvvkCR9tCVPaw4X6uUzEk33KbQpTfj5gdpaMitTPw6KV7sGvm+jLEtu22Vmmowo281L8SdjFACiUSATVDyZmfZlZqOrUwx1wom/a2aaPx/c+flsARAKT98VH8dSCL6Y9c2VPTyyIc2pIbMOK93hf0MoMwsAqAgVUmbW5XIpNpaKtghOhZaZLTESENHMTKvsR8N+7clAApSBXodliVu7c1ke1ypTyebAAFCC2/BvXeNPtuR6A5keH27Jtcys9CebZ0+uW+9uMi9Tajl5w6bdZkM9dq0iwx1AVRVIFRHPhEC7Ls9uYkpFC/VW16YggH32vk32j9n+wUw4TCtw6ZsdeZq5O185fDgBNZLLbejBFRnq9HmSjvw8SQ+tyAi4YlRNYJ6ZWbmv1biNOQEFMqXQPuf+THfq0p9TdMyXSbrulzSlFkTZhzgAIGoEnZnpL8MwtGfPHjVs2DDSp0I1VZG3cSUHPiK5JpvVwIAhw3bNzEAmmwd6FVZZQ3bntXrJrMpUsWYmgEC5DclqkneO061/r8gs97jLkP7KLNIpLeJ97meX/eIxbmOOnj29sc/nrDJwbNfMNC0za70fGe4AqqpAui9PH2qbmRllfWKoiaJ2fbzd8Sf86XsCjmc/s/0Dbfe2TKcunpWipLziX1S3xFr6/oLmalE3LrADAajS3vszVxNL9DsT/szVkQ1r6bbjGlRiq6KP3USTyvLFX3kB7xNsm3Odbg2ZlaKUguLPjW935etArkuzL2oR3AEBANWa38HMDRs2aP369aUeS0lJ0RdffGG6T35+vhYvXqykpCT17ds3+FaiRqvIG7mSGTmRPK/VYLbbsB4IN4xA18wMpGXWWUP26/FYlKgNcj1NADVDoMWnXIZkNTS64IDD9Dmr/sgu+8UfoZTVNg1mhnBOAIhmvvqvuBjfj3smwNll5/s7MSXcYuR7ImGoZWbtdg/2o8ttG8wMrN3/W5fjDWRK0uaMIn2wOVdjezYKsoUAqqJn1mSVf2xtFsHMMqJ5zcxAHS5wa9jsFN3Yrb4u7FDX7/1+2lvgDWR6rDpcqF3ZRerUMOL5NwCilNNt6Ok1WfppT4Ha1I/TQyc1VN/WdSq7WYgCfn8yzJw5Uy+99FKpx7Zv36477rjDcj/DMBQbG2u7HWCmQoOZJb7JR7Kyh+WambK+ZrcCa5s/pRhLsssKtRLsmplOSs4ACJDdOPX2LPN1vX1lihe5DS056NC+3NDLGtmVCrdismQmmZkAqi1f3ZdZMLPQz8zMQNZhrgihzpOxuxx3kCfw3IKbfYZYVVbxxVc2zwu/ZxPMBGqYfB+dVi5ry5RjNr5SVV+pefsdWnDAoWkDm+vsNv4FHT7e4rtywPLkQoKZQA326MpMTdxc3D/8lVWkXw8VavElLXRU49qV3DJUNr8/GTp06KDevXt7f166dKkaNmyoHj16+Nw+JiZG9erV05FHHqmRI0fq5JNPDr21qKEq7lbOUeILeySTBa0GBtw2a2a6jcACvAFnZlrsYDuQEmSZ2UAHSgCgOFvEPJ/TKgO+7FhKkdvQdb+kaeaegjC2zbfHf83U+2c3VR2TGrlmK4zbBStZlgxAVeU7mOk7x9HTF9rdk1bWmpkxMb4nHYYaW7XLkHQH+X3Jc1yzjxhiDwAQOWa375Fc8ijSXIb0xV+5fgczza7UrFoNgOrPMAxvINMj32Xo87/y9J9TfC/1g5rD72Dm6NGjNXr0aO/PTZo0Uffu3TVz5syINAzwqMhkk5KDxZFcdN0qE9GvYGYA5wr0KqwGLexeEqt2WZWvdRnFH1YxZilJAFCG3cCwZQZ8mf5oyUFH2AKZknXbvt9doDuWpOv9s5v6fD7WpB984fds/WDRRqs+FgCima97brM1kf3NzKysNTPN7mRDbY7dZ16wSzZ4djO7/w+1PC4AwJxZ313Vu94vt+frvbP829bsWs0meAKo/swmav9vXQ7BTPgfzCzr+++/V6NGlItB5FVksknJgYJI3kBaZ2YaljPx3IYRtszMzEK3XvkjW3+kOnVqi9q6/4SGQZeKtTuX3SBLkSHVJpYJwE+hlF0t2wd/6aMsXijs2vbNjnz97wy3GsWX/5puNadjfZrT9DnWHv6HYRias8+hVYcKdVxTylMB0c5X9xVrMorpmahil4kYbaW3Q50kaXsPHuxx3Z7/m5SZja6XEQCqFbPPsij7CIsos2tlnjtQc9WgLhBBCHqEp2/fvuFsB2CqIpNNSg40RPIG0jLz0uZ5lxHYgIjZdRiGoWGzU7T6cPHg+KIkh1YfdurIhnEWx7I+r1UQ1q5USpFbqs30OwB+shuotixtXaY/WnmoMBxN8rLr7wxJqw8Xqn/bhHLPBTsAb5WJWtP8d22W/rcup7KbAcBPZmtm+uINZoYwwS5cNqQ5tSjJoSMbxmlA2wTFx8WYZmZGusxssCUJPQPpZu0rchtKynOpSXysEmoxsgyg6sovMpRf5FbTBPPxjopmmplZsc2oVGZjTAwNATUXQxuwEvJ0dcMw9MMPP2j27NnaunWrsrOz1bBhQ3Xt2lUDBw7UoEGDFGs2tRbwQ0V2YqUyMyvutKUY4V4z02ROy4b0Im8g02NRkkNuI97y3FasxlHsZnY73YbqWqx/B6B6C3T2rW2ZWYsOqWygs2XdOO3MDt8Ca/4MWpv1p8Gu80b2TLGsQrfeXO9fIJPy5kB08BWIi5XvNTOdfpaZDTV4aGfK9jzdtjjd244L2ifo0/6+y4dLYSgza/PFJNjje14ns9fru90F+m73QSXESY/0bKR7ejQ0PZZBuXMAUcgwDD2xOkvj/8yRwyUNaFtHH5/TVA2jYCa1WddekwbyTcvMco8O1FhVed1gRF5Iwcy//vpL119/vTZu3Cip9BeYVatWafLkyerevbs+/PBDde3aNbSWosayKyMVThVVZtaKYUhuq7XeFFig1exQ4zf5HuxdctA8QymUMrNWWVL+HBtAdHMbhmKkCgsO2a+Zaf7cVfPTtGJoS3VLrC3DMNQiIbyDGXb9nWReOqUwyA8ff85ZE3y/O9/vwC7lzYHo4KvbM/soKXT5l5kZyUEQwzD05OrMUm2YtbdAyyzvoSNbZjbQyi0ehjeYab1vgUt6YnWWTm8ZrzNa1fG5jdXnLgCUVeQ2tDHdqY4NaimxTuQCi9N35uvNDf+Mfczb79CTq7P06hmJETunv2pS0NKM2UdHLPfoQI1F3wgrQQczDx48qEGDBunw4cOqVauWLrroInXr1k0tW7bUoUOHtHnzZv3www/auHGjhgwZogULFuiII44IZ9tRQ1TkhIySX+QrayaIXZlZI8A1M80uI5hShnZjFNbrbVattY0A+KfIbeiRVZn6enue6tWK0Z3HN9TtxzXwPp/hcOuRVZlanuzQsYm19d/TGumoxrVDPm+ofcrgH1N07TH19OVfeTqQF94RWH8+P8w2CbZcLLMXi2U7/X8dCl2GajNSAlQ6X/e9Zl2hZ7JCZWZmbsksUpKPz41X/sgqDsIGcD3+si1fbgQXTHR7g5n+bf/WhhzTYKaDe3kAflqf5tTw2SlKzncrRtKTp1pnfofi+d+zyz32webcKAlmRke/mV9k6H/rsrUi2aFjm4T+PS0QZi8Bt+hAzcUtJawEHcx84YUXdPjwYZ166qn68MMP1b59+3Lb7N27VzfccIPWrFmjF198Ua+//noobUUNVaFlZksMAlTWfaXbMGzLzAZSxslsXCOYQR67m22rLFq73yOzuYGq6eU/sjXxz1xJUkahoUdXZapDgzhd1LGuJOnK+ala+ne2yq5sl35LKdRvw1urbohrb9n1KXaZiqkOd8TWVfTnc8s8MzO4c9KHFgvks7vQLdWPXFMA+MlXn2l2z/nPmpl2a0iG3CxTOSaTJrZmFpnuE/qamXbPG0Fl9nuCpP5m9/+4p8D0OQdlVgD46ZZFaUrOL+54DBVnfp/bNkHHNQ1/IG2bRd9c2aKl2xyzMM3bvy+2qDIQCeZlZiu0GQCiSJR0jYhSQddymD17tmrVqqVPPvnEZyBTktq3b6+PP/5YcXFxmj17dtCNRM1WkeOzJW+kKmsmiNuwnn0d6JqZ5pmZATZMfsyCtzim3fmKomRWIoDAvORjtrOnjPWenCJvINPjYL5bi5McIZ/Xbv2wYDMcw8GfgQnD5Ba9MMhRDbLbiwXyKgT7WgMIr99SCvXephwtSnJ4J+yZryv89/M2xwx08l8gXCaNi4uR6ervoWdmWj/vNkK7tw9Hdr8jfEtPA6jGkvNc2pRePsD42vry3ymqu2i4fT+U77KcqBKs6Tvz/NrO7KOLWCZQc0VL1jqiU9DBzNTUVB177LFq06aN5XZt27bVscceq7S0tGBPhRquYsvM/vPvyg1mmj/vsnne1/F8CSZ4aPeaWI2h2J2P9d6AqsnXO9szo3fBAd9By3dM1uwNhG2Z2Uq8//VnUNgsGBtsELYyr7eqCnZ9UgDh9fr6HI1dmamLZ6XogeWZkszvdf0tM+vvNsEwa1usxZrRoQ7KuG0uxmUEN0HDFcDraYcJIgD8kWVSTmTGrvywnievyB2xSS3hEg3d5s97wx/IlKTrF6Rr0tZc2+3MPh+5TQdqrmjoGxG9gi4z27p1axUV+VeuoaioSK1atQr2VKjhKrIPKzkAbVUyNZLcsr5xcwe6ZqbJdQQTPPRnVniw+5JVBFQ/Zv1MiBVmJdn3KZWamelH/2pWFjbYMrNmmUI1TWCZmRFrBoAgfbglV7cfV98+M9OPN7vLkOLC2DYPs8kjtWIls3hmpMvMuo3gJmh4dgnHpMICRp4A+MFsvfJwLZmQVuDSmIXpWpTkUIuEoPM3KkQ0ZB9FspzrxD9zdU1X60UdzF6CQD9SJm3N1dQd+WocH6NbuzdQn9a+13cGEP3CPbSRV+TWR1vytCHNqX+1jNdVR9dTHLWsq6ygP9kvuOACbdmyRVu3brXcbuvWrdq8ebMGDRoU7KlQw1XkDV70ZGZalJlVYIFWs+sI5nW128dq5qPdQDvrvQHVj9kkBV83joF2SfYTJAI7Xjj58+XbbNDZGeRgsMkSbjVOIDPwycwEotO4jTmm98Ke+0V/7mMjFVszWxuyVkxMpZWZdRlGUJ97hor7zfCUmaVPBWAv0pOYb1uSoV8OOOQyipe3iGbR0G3GR3BAf32a0/be3Hy8yv/zfLA5R3cvzdCiJIe+312gYbNT9HtKxa79CSB8wvkx4TYMjZqTqv9blakv/srTPcsy9MDyjPCdABUu6GDmI488ok6dOmn06NFavXq1z23WrFmjK6+8Up07d9bYsWODbiRqtppWZrZsO8oKdM1M8zKzgbXJ6lj+PG93PtbMBKoeuy+nZn1ZyczM/CJDh/JdAfe5tmVmK6kTdxtm+fClmQ36OoItM0tgTlJgmZkMvAPRaVe2+WeCJ+ven+Fpu8+J5DyXNqQ5A57gl29yUxtnMR4cemam3YTC4CdouI3wlCpngggAf0RyaYSCIiNiZVMjIRqGQOKtPrzCIMtmxqXZ53kgn82fbCm9PmeBS5qy3b81OwFEn3AmNa1LdXqXQfL4dFueMhzRPdkF5oIuMzt+/Hidd955+vDDDzVw4ECdfPLJOvbYY9WyZUsdOnRImzdv1po1a1S7dm3dcMMNeu+993we5+GHHw668agZKrJ7KVVmthJvLK2yFI1Ag5kmj0eizKzV83bn86csI4DoYlcS1WySQlxMcSD0+d+z9cb6bDmCKPdp1w9WVra3vwPWYS8zGwWDIVUNFQGAihNI1rTV+vD/ZGb6dxyfj7sNPb0mS29sKF6/+djEWprcv5m6NPbvq3G+yYHjYqTi3Mzyz4ea+ejPPXgonx/h+N5TQOluAH4IZ/UU4+8leDxVX7Kr2M1dpO7fC4oMJfi5rkftCFfiPZzvUuN485OYBS0CeW3WpTnLPfbuplw93yvR/4MAiBrh7Mnf/Pt+vySXIX23O9+2DDaiU9DBzBdeeEExMTHeL6Zr1qzRmjVrSj0mSYWFhRo/fny5/Q3DUExMDMFM2KrIoGLJc1XmbbBVhs2KQ4VqFsDaD2ZjJ8FkQtrtYvWa2Q3iVOb6dgCCY7c+lumambExmrPPoZd+zw763NG6Zqa/EzPMsgKDLjNbiX1ohsOtj7fkantWkc5uU0fDjqyrGLOF4yItgJch2CxYAIEL5O1W5DbPcPdk//lzPLNtlhx0eAOZkvRnRpHGrszQ1wOb+9W+ApO0oliLUn2hdjf+VEcJNkM/XJ8fhcyqAeCHcFUT+XBzrv63LluZhW5d0qmuXj0jMaD1H/flFKlN/TjFVtY9q8K/pNL3u/M1dkWmkvJd6tu6jt4/u4la1o3E6tH+O1zg1lGNzZ83+3PgIwWoucL5NT3X5L6d+9aqK+hg5uWXX155A1WoUSqyeyk5CO2uxEFOu0GFH/b4XzrFdKZbENFau7U6rZptd75IlpsBEBl2ZTrzTN7YtWKl19YHH8iUpF/2F2jloUKd3iJep7WML/d8RfQpnolZJfmbfWPWzwebWVNZa4QWFBm65OcU/ZFaPCP602152pxRpMdOblQp7Qnk1x5s4BhA4ALpoqz6s6IAgplm/fHc/Y5yj83Z71BKgUvNE+wHfc0yM2vFSGZfj0NfM9OurLsR9KBMuBKZKN0NwB/huEdfcKBA95dY82zytjw1rB2j+09o6Pcxjv86WUc1qqV3zkzU6S3rhN6oIISz29yVXaRr5qd574UXJTl008J0zbjAeqJOpL9DHLJZt9Q8mMlnClBThXM43ixyRQ9TdQUdzHz33XfD2Q7AVEXGFEuVma2405YTzuoopmVmg7g5tAtIWs0stLtRZ703oOoxWzfMI9fk23FcTIyWJxf6fM5fz/72TzD0iVMa6b4ygxcV0ae4jfJrpPk7KGGamRlkuxclOXTl0fXUINK1ospYfNDhDWR6jN+Uo4dObBj2NXjchqGdWS51aBin2iZT7wN59YINHAMIXCBdm9Xai4XeMrP2BzQboJ28Ldfn40sPFuqSTnVtj2uWmWnV5YUezLR+3h1CmdlwZWYSzATgD6t7dKfbML3HK+ltH2UD392Uq3t6+B/MlKS/sop0y6J0Lb+0ld9lWcMpnF9X3t2YU+4+eGGSQ9lOtxpafD+IdNDwcL51DXKzjy4+UoCaK5xZ62YfKQxBV10VO+IFBCHcpTeslLxhqsyOLZyD8KZlZoPKzLR53mrNTJvfI5mZQNVjN3CZ6/T9fLgDjc/9lqWcMrNAKmLJHF+X7++lmQ06Ww3iW/lhT4GO/uKg5u33P3M/HJ5ek1XusWyn4XPtmlCsOVyoY6cc1CnTktXpsyRN35kX8jEZeAcqTiCDpVb9oDOgzEzfj3dp5Hs+75KD5TM2fTFfM9N8IDzkNTPt1p4PoczsrL3h+dxw2LTxYJ5L1/+Sph5fH9TV81O1N6coLOeNJMMwtPBAgV79I1tz9xUEtPYrUFNZvU8Mw7D83p/p56wMXxn2UnD94M5sl2bszg94v3Cw+mwItL8Z/6fviTrpNp1zpL8zHS6wPoHZZRJoAGouMjNhhWAmol5FdjCLDzq8JZoq8+YprJmZYVyDwG4gxrLMrG1mZuDtAVC57NbMNFufwC6jM1BOt/RjmfLboWaa3H5cffVpXb58bUm+Lt/fAWtf5QANw1Ch9eRlS/kuQzcvTJerAj/A0kwGKMI5EckwDF09P1XJf5epyi0yNGZhulIKyr9YgZyWtZqBihPI221TunmQy3OP7M9to1l/3L6+72Dm0iT/gpmmmZmx5gMmoc6dsL0HV/CZmXctzQhuxzKsytwahqHLfk7R9F352pvj0ve7C3TxrJQK/bwKxn/XZumSn1P137VZGj4nVQ+tyKzsJgFRz6q/cxmyfN9n2M2KCOHcVt7/s3ymZ0Ww6tpdhpSc59Krf2Tr38sz9EtScFVtatksDxbpajaHbcrMmr0GlJkFaq5wDg+TmVn9BF1mtqSsrCzt3LlTubm5lrOH+vTpE47ToYapyA4mq9DQkFkpmnJuswrNCC0rmBKwZsyOFMzggd0uVs/b7cugMlD1OGwCbzkmmZmRyIgrO+s41AkSCXExqm9Tbqq4ry67ZqZ/x3f46PNcRugTeFIdbi1NLtRZR1TM2j9maynHhnFd9TUpTh3IK/0LdRvSpK155dZGCuT1IzMTqDjhus0LJDNzZ1aRfktxqmfz2urQ4J+vvb76X0nalFGkHKfbtly3WWamlVCv3/Ye3G0EndkfLlYTnNakOLUpo3SQeme2S8sPFapv68pZq85OusOt19eXDnBM3Jyru3s0UPsGYRlGAaolu2Cm1cTtdEeIWexB7v7rYadcbkNxfpS4DSer9ibnuzXkp8PakV38hev9zdKjR8Xp7vaBncNsbGlnVpHSHW7b73OhOuxj8mFJZkFLu4oEAKqvcL7/zXr1yhzzR2hCugtftWqVnnjiCa1cudJ225iYGKWmpoZyOtRQFd2/rDxUqMnbcit1zcxwZimajWsEkxhlO5ASwjA8Y8pA1WM3oJtrMlphl9EZjPgygw+hTgqpExejujbBTF832f5emq+XJlzBteLSfRUzOGzW5HCW/tia4btk7dx9BSEFMyuiFDGAYmELZv49JupPxsYlP//z3fOZ0xrpzuOL+wurvjar0FCD2tbHNfsMc7oNi8zMyA7Qu1X5689bZWZ+u9N3Ccep2/OiNpj57c58n3+3H23J1X9OaVzxDQKqCKv+zmUYlvfoGSEuaB5KP7g+zamTmltXZQk3q6udvjPPG8j0mLSvtu46NbBrLPt9xek29PCKTH24xXdZ2nCzy8w0e5bbdKDmCm9mpu+7c4agq66gg5lLly7VsGHDVFhYKMMwlJCQoObNmysmjDPxAalyOpjHfs3SGa0q9ka2pHBmKZrNNgnmRj+UzEw7ZGYCVY/tmpkmsyYiMQO4dlzpn0MNVNWNi1G9WtYhOV/9q799q6/XrioG18wuN5yXUttklnyoE3/IzAQqTrhmPzv/Pk6gh/vP6iyd0yZBxzWtbTmhxp/sRrMys063ZPZVONTLtwuGuozgy8yGi9XrGsx9vtswdCDXpbb14ypljCHVpNzlvpwIpzEBVZxdZqbV/Zvd+o6hnNtOUp5LJ4V09sBZVct67Nfy69LvK4hVvkuqG8A5ygaP5+0vqLBApiQdyrfuM0NdFonsKqD6Cef72izhnq6j6go6mPnMM8/I4XCof//+evbZZ9WtW7dwtgvwqqwYV2V2bBWxZmZEMjNDeM1YMxOoemzXzDQpMxtMiT475TIzQ/zwqBMXo3p2mZk+TuHvpfkaMK/sEoHBMGuyVYZOoOLjfP8enD4+qAP57K6KrzdQVYXrNi+QMrOlzm9I/16RoZ8GtbCcyOBP0M3sM8xpcdzQ18y0ft5thLffDYZVDMKsaWYxyiUHHRqzIE3J+W61qhurD/s1VZ8KzuA0qzZc2UFjINpZlQd0ua37s1CDmcGMcXhURhcazNVmOw01LfOY1XJfZa9r5u6CIM4avJSC4NbMdPv5Qc/cRKD6Ced4vNmIDl1H1RV0FbB169apYcOGmjx5MoFMRFRlzbSqzDHOcN6QmR0qmBrk/swKDxaZmUDVY5fZVpFrZpaNO4Y6KSTBj2CmrwETf7uyQh+TlCt7IDoYZp/R4ZyUY/Zr8HUOyswC0SncZWaDefsuTy5UusMtq+W7fPXNZZllZha6zQdMIh3MdBlGpU8MtPoMM5tgFOPjFXO4DI2em6rkv0sTJue7dcXc1ArPpjerCsB3FsCa1fiN2zAs30Ohlpm1mlRiJ9BdXW7DMogYiXNKUpaP71c5FlHcsp8Nk7flBX7SEGQ5rX/nZksV+fvaWH32GYah9WlOfbMjT/tzyaoHqgq7W63Vhws14PtDOvLzA7rulzSlWdzcm2VmcjtXdQWdmVmnTh117NhRdesGUuAACFxl9S+hrm0TLcwzM0MrM7sjq0jz9xeobf049W+boDpxMSEFnqvgGD5Q4+VbfHE2DEM5Jt8uI7FmZtlDhjrYmFDLj8xMH+fw97PDV1ZguIJrFdmdmjU5nIO9ZkcKNfuWMrNAxQnX282TkR3s239xksMy6BZKZqZVtneokzPdNp8PbqPys80ty8wG0LSf9hSUG6zPchr6aU+BLj2y4sYezDIzK3ttUiDahVJmNjPEYKYjhPenVcnXkjxrTk7dkadG8bG6+/gGurl7g6DOGUxzs328RqkW2Y9l+6zG8THKLKzYfszhMkwniIRaZtbqu9fYlZka/2dxSd1aMdJH5zTVkI6MYQPRzi6D/+JZKcr7eyzq2135yih069vzm/vcnszM6ifozMyTTjpJSUlJ4WwL4FNlfV+sLmOcZre1wVyf51iz9xboX9OT9e8VmbpiXppGzU1VQZERUikABgaAqscqGOQyzMvMRiKIVHYAOtRT+JOZGVKZWR8bVvZAdDDM+v1wXotZcMHX44HMkCe7Bqg44Xq7eTIngw0OJue7Ql4z02wij9NtmI6YhJ6ZaX2AaAhmBhMkLllmtshtaHmyQ4+syvC57cpDjlCaFzCzgXfKzALWbIOZFv1ZqBnmoVQ58bdE7aOrMvXhllxlOQ3ty3XpoZWZmr03uNKtwXyW+crMtCrlWrb7PapR0DktQbP67mf2Evg7QdTqV+4JZErFv98HlmewxiZQBVi9Tz/akusNZHosPOBQhkmZcrMlDRgKqLqCDmbec889OnTokCZPnhzO9gDlVFYHY1YesaoxG9gNJnjoma345OrMUl/kFxxwaM7+gpDWQ6LcH1D1WA0I5zgN00GBSGRmlj1XqIGqOnGyDWb6OoW/Jbx9DYZWxACpy23oi7/y9PCKDE3Znuf3LHQzZruHs083e11CLTProNoUUGHCNXhoqLgfC/ZjpMhtPajqTz9smpnpMp/9Her3Gfs1Myu/zKzlmpkmz3ler4IiQ6PnperCH1OUlOd742j5ZsZEGMCaXTDT6l451LdXKPd2ZuMjhmFowYECvbYuWxP/zNHEEgEyjx/35Ad1zmCu11cw83C++YWXDR43Twh6GDhoV8xNU5fPk3Thj4f1e0phqedCzcwM5DU8lO/WbylO/3cAUCmsbmn/uyar3GOGpKQ83/2gaWYmExuqrKCn5Jx99tl66aWX9NBDD2ndunW69tpr1blzZ8rOIuwqq3tJC3Hx+WgR6s1hqWNJynG6tSmjqNxzT6/JMv2Q8EcwZW8BVC6rdces1ryJRDCz7OBiqMG0un6tmRlCmVkfr0Eo6/yUZNWEWxen6+sdfw+4/JmrRUkOjevbJOhzmQczg78WzxeLmL+nUZrNsvc16BTIS1jZWUxATRLObr/QHfyAd5HbsC6H6kdDzdbMdBqGRTDzn31yiwKfVGi/ZmbF9Wkfbs7VBe0T1KZ+XKnHrYLEdp8JP+zJ1+x9FZt5acf8s6eCGwJUMVb3wi6bNTNDXeonpDKzJrs+9muWxm3MsdzXKjMymHNayfJRItbq/GX7rMrILl91uDiAuTy5UBf/nKJ1w1srsU5xUDXUSmKB/s2kV5NxPqA6s+rKzZ4yWx4g1iQ1k56g6gppSs6wYcPUr18/vf/++zrzzDPVtm1bNW3a1Od/zZo1C1ebUcNUVhmI6hLMNHv1gvkibhjmpbW2ZRaF9OWDgQGg6rEaEDYr8yFFJiOuZPDSMILP2vGoE2SZWX/HUEoOOn+2LVf9vjuk/jMPB9LEgO3KLvonkOk9d57pLEZ/uE0+ZYIp82UYhl79I1s9vk7W8V8l65U/smUYhukAva+AdSCnJbsGqDjhvJ0vMoJf2sBphJ6ZafbZ57TIzHQZxRMCr12UpQEr6qrbN+nePs4f/pSZdVZQtvn9yzN05oxD2phWOrvF6nU1q9Tgeb0e+zXT9rwV/ZXQrEgPE2EAa1ZvEbdhXc411LdXKBMDfe16MM9lG8iUpF05wXXA4crMtFozs+x1Vfaa8VmFhn4okclqNt7n9+djgONIZiUnAUSPYPpGs66NMrPVT9DBzP379+ucc87RrFmzZBiG7X9uN5EKBIeEvdCYddDBZEK6DCnX4ttHKB8GrJkJVD1WX4YzK3jar9NtKMfp1uy9BZp/IPTsjuI1M61vk3x9efZ3vR3Pazdzd77uWJKh31MjX/Jo0tbyZbEk6avteUEfM5xlZj/dlqf/rs3SvlyX9ue59MzaLE3amuddI6/8OcqfPJAJUJSZBSpOOG/zitzmEynsON2GZVUBv9bMNCsza7Gv25Ae/zVTP+93yqUY5RQZemZtlmb5uc6aXbNcRsVO0Eh1uPXmhuxSj1lNYjEtaf73AJNZadnKZBYUYWkMwJpVcKnIbVh+7w81zhbKfHRf7frE5N65rJZBlm4NZjJ4doBrZpY9RzRMyJhQolRvqJXEAv2bIZYJRL9wBjPNeufK7wkRrKDLzD799NPavXu3OnTooLvvvlsnnXSSmjdv7i0JBoQLHUxowlpm1lC5hZb9OZc//A0AANXZtzvzNXNPvlokxGpMt/o6qnHtym6SJcvMTB8lkCJpZ5ZLfb49pN1BzowuK6FWjOraZGb+sCdfrerFqnnCP6X2/F2D0jMYahZgDIVZC8wGOrJCCDyb/QkEM6juaw2iT7bm6tJOvpcw8JXRH8jsbDIzizlchrIK3WpRN85+YyBIoZYOLKnIbQR9z2lWYcTDvzKzvh93Gdbl8j7aUn7iyKvrsnVhB/tlWvxZM7OiB6inbM/X+LP++dmyfK/Nmpn+qOge27wqAJ8dgBXrMrP2a2qGIpjKIB6+Ph6S/ZxoEWz/G67MTKsxmnJlZqNgMl9cic4/9GAmfTJQ3QRTodE0mElmZrUTdDBzwYIFio+P13fffaeOHTuGs01AKXQwoTH7EAhupothHcwM/JBeZGaipnv/zxz9e8U/Zdam7sjXL0NaqF2DoD+qI85s3TDJusxsJHy4JbxBwYS4GNW3CWY+91u23t6Yo8/6N9OZR9SR5P8Xb09mZiTWCDML6Jl9JwhlIppZ1x1MfHR9Wvns1LUpTg0yGeh3+rigQCbGVHaZrWjw2rpsvfR7tvJdhv7VMl6TBzQtFZwHwiWcnwhFRvDfD3LNaof+ze6jyzAM08xMyXzZBLP78dWH/cvK96vMbCVnDFr1++EIAFZ8MNPkcT47AEt2wUqrvirkNTPDXGbW8LPnCXbJnGC6Rl/Vb6zWCi17XdGQmVkyuGD2K/P3b4HMTKD6CaZLNZtU7s969qhagi4zm5OTo6OPPppAJiKOSj6h8dU9+7v+QFluw3oQKJTPAtbMRE1XNivtcIFb3+7KN9k6OlgNGGRX9qhqiPxZM1MqXvfl4ZUZ3n7V3y/UkRxIMCsjHuhsxVCEM3MlsDUz/T9vBVdCjjqLkhx6ak2WNzCz4lCh7luWUbmNQrUVzi7PGUJmpt1nk13fZVee2uxzMdT4l13WubuCy8z6EsqamdHItMwsY1+AJbtgptUkZrOndmcX6Yu/8rTqkMNyANoqqGfH10C4v4cL9r4+XGVmraoKlH29o2FCRtzfEyndhnm42N9qK1EQmwUQZsG8r832iTWZuM0YdNUVdLpH586dlZ8f3YOsqB6YLBEaXx16sPevxWVmzXv8UGa2+MqwAWqSLZnl69Y99muW7jy+YSW0xj9WJeWs1iSrCurGxcjhRzBTkjalF2l3jkudGtbyux+MZIkns7F6s7alFbg1bUeeGtSO1VlH1FGCn9cdTBuCYTboEurnW8nj7sou0rKDDnVNrK2Tm9c2/dJTnby+LrvcY9/v9m/9PiBQ4Rw7dbmDz97JsYlE2Q3yWn3uSebXGepgq93r5zIqf4KGZTDTbLZ8BdSZ/W5Xvl74LUspDrdGdq6nx09ppDpx9ic2nUgTBYEAIJpZlpl1G5ZVNHy97WbsyteYBWne/a46up7p/qHcX/tql//BzODOGa4ys1ZB3LLXVdmfFdI/Eymtggn+vjaUmQWqn3CumWl2r1nZkwARvKAzM6+++mrt2LFDa9asCWd7gHJI/Q6Nr1cv2PIrbpsys6EMXjMrBjWZv+ssRhurviS/ir+p6/hRZrakXdnFwehoyMw0+3syO+P7m3N1w8J0jZybqkE/HfZZvipQz6zN8lk2NhhWr1XZwEMgL6vnuNN25OmUb5J1+5IMnTvzsO5flhF0BYOqZP4B3yWOa8K1IzCH811alOQIqW8I5/18kRF8ZmauTS1qu0u0KjFrJZQu37DIXPnn+EalD8oEk5kZab8eKtQ1v6RpU0aRDuW79fbGHL38e/mJHL6Yfa+x+i4EwLq/cxvW33vKBqYMw9DYlRml+pDJ28qvP+wRSmamr0kX/n7qBTvJIZjdsgt9BDMtgrhlP3+jYZkFTzDT6nPL/zUzAzt3FFw+ABvBrZlpUh3FpJ/hdq7qCjqYefPNN2vYsGG66qqr9N1334WzTUApVXs4vPL56reDDTq6DetBoIwQBrnCFfdYeMChYbNTdNaMQ3ptXTaDsqgSqmpF1nyLL87BDvhGizpx8qvMrMe+3OIXIxqCmWaJR/50h2tTnPrcYpCo9PGsD3jprBS/B0ystnNa/J2VHVQOZP1lp7v4i9LYVZmlfm8fb83TH6nhCcRWRVX8rYswm7ApR0d/eVAXz0pR1y+T9NOe4CrzhPN2zOkO/vuB3ZqZdgFBq7WirYSSOeLPe7J4HbrKffNafQ0wu8+PdGLmd7vL/72+si5b+X78Hs0+p3OLDL5fABZCWjOzzHOb0ouUlOd/jx9K5rSvXf3tVoPtf8OVmWlVVaBs/xsVa2b+/f9wrJ/qbzlaj8r+rARgL5iu3Hz9Xd+PBzJugOgSdJnZIUOGSJJSU1N13XXXKTExUUceeaTq1fNd8iEmJoagJ4LCd8XQ+Hr9gp2N5zKsZyOHlJkZhl/0+jSnRsxJ8Q6mrEtzyuk29NBJjUI+NhBJ0fClMhhWfUlVLlfZoUGcYmNiVDeAu6R9OZ5gpr/Bu8hlwJndmPvbRY/bmKPbjmtgu53d2nGpDrfm7S/QoA51i89vGCpyS/E+yvvlWHyA5Fn8neU43Uqs88/cvEA+3hwuQ7+lOHUov/y5x23M0cSzm/p/sGrEZYTwBQHVysE8lx5amen92eGSbl+Srm2XJ6hWgIvthjNIXuQ2gv5+YNXXSPZlZoOdqBNKwrs/p3QrsuXL/WFVgjccZWaDuVeav9/3vcj8/QUa3LGu5b5mfyqekr514gJuDlAj2GVeWn3vL9uN2K1zXFZoa2aWf8zv5SOC7OODmeiS5SyeUPHRljx9tztfLRNi9evhQtPty5WZjYKlQOL+voew+lvw91cZ6DgS2VhA9AtnmVnzYGbg50B0CHqsYsmSJaV+Tk9PV3p6uun2MTVg7SFEBv1LaNw+5jEHGzhxS37NZA5GOD5IJm/NLfdF4qMtuQQzEfWsZogm5bl0RL3oHDGzGrjcmxMF35SDdP0x9SWZLxbvy56/rzeQvixSX6bN18z0b39Plqkdu7XjJOmZNVk6vmltfbszX2+sz1FekaFLOiXojT5NSq1Zlm2RLZXpsAh0lnkRA10zM7XA97HDVSK3KipyG36tJ4fq7/O/ymdppzsMLTjg0LntEgI6Vjjn7LiM4I+XE2qZ2SA7brsgqRV/Brvd7srPNrG6xnBUoAhmMqavDCZJ+n53vh/BTPPz5TrdqhMXnfdmQGWzy8y0yqQrGzwMdOJMaGtmlm+4v3Eyf/vfpDyXvt6ep9QCt4Z0qhvUxJxsp6E3N+ToidVZfm1f8jPEMIyomETrmYZo9b3J3y4/0MshGwuIfsG8S80mn5jdRwefUV+8XyBjRQivoIOZ48aNC2c7AFPca4SmIsvMhiIcN5Xj/8wt91ggZWmAymI1eHrslIM664g6mty/qRrFB10dPiKiYc2VcOqWWEu3dm+ga7v6rjJhJdA1MyXpgJ9Bw0B5+lOn21DtEoNA/gQfA+HP739TRpFO+Dq51GNfbs9X84Q4PXN6Y+9jVsFMqxLm5YOZAZSZNcy/KNXkrybMWIfHykO+Mz22ZxXp3ACPFc41M51uI+jj5YRYZjbY9RJD+bz0Z5KMW0all6y3emnMsqUCKQ8YTJCie5PaPidXzdnnkGEYiomJ0drDhZq5J19N68RqeOd6av33BDKr4GxukaGambsP2LMLZgaSjRfo3KpQ+lqfZWb93Nef/jcpz6WBPxz29klvb8xRQhCTx1yG9N6mHL+3/3/2zjpcjur8499Zt+uSG3cXLJAQIAkQHBKCO6UUrVGcFgqUttBSrEh/UKAltGhxEjTBEkIIhCRY3OXmuq3vzvz+2MxmZc6ZM7K7s3vn8zx9aPbOzsyOnPOeV75vT1TAlZ+24f0dYfjsnCHaCViZemYyyswqDmYq296oCIKANR0x7PDHMaXeYTg/gYmJFtT1zCTtS9n2JHhBwJ1fdWHe+oTf+aejvbj1wHKzeK8AqA5mnnfeeXqeh4kJGQMYW8WM1MCtXmZWQCBH1p/pPDXpzchVbHy6O4y7vu7CvYdW5ueEGMlVpXaheOO4WvTJqIKtdHDoiMj/zq3dCceEEsN7v//tkd9IBR0RHr9a0o5n1wXgsnK4+YAy/GqCT/f7pUXK65Hve9KDmZSAZSfl+mcm2ChzjAsQCEZGb16T0OThTHoXpLbBaoYSfWVm1e/PL2PHylWsqB1H1WR/C4KAh77twWMMTuuE9Gn+311eEJKZ6bTERNLaQ5E0uIrfR+qf1xrmEYgJ+HR3CBcuaks+0//80Y/3TqpDg8dKTTRTG9Q2MekN0F5VXqAnXmidK7SMg1JjmJ49M1/eGEhLrohrSBRXkrB9c4pcfFtY1eF0R8y1pE3JrNdeqd1aaBUDPYjzAn6xpAPP71XQqHBweP24WhxQ6yjwmZmY6IMqmVmF6lRKXdv//NGPh77bZ5Pft7oHA7w2XDLGq2xHJpoxUzdMDI+UTKoJO1IDt2qZWQEIyGS0q6UUjEoTE7WwPP//XJNdeVxoSq0yU6qX4y8mlDF9d1cgjnBcMES287/WBjBvXQACEv3dbv+qC/O3hZidrz5SBCMDPe8/rVqKVpnpz/ieklNKVHdJ/60XxzIN8QybGAM7Qd5PTcBbz1S4mKB+f3K9fqMyf1fbM5Oilk3k8R/9uOPrLsm+vpnwgjYpW7WkBiVoUwxJGUCJMoua30cLgEZ54O/f9aSd99aeOF7eFNj7d0oiTY7WQyYmpQAtsS8u0N/7zNdcqbNZm8xs9mesQxSLf+X3jLKwvQExCYZemcm2L8WVmSUwfC/aFU4GMoFE4ucNX3QU7oRMTHRGjUlLquYm7UupD/rub7LH8Pu/7Va0DxN9MIOZJobHjHFpQ+ryqTXyBSF3mcilIvdBIsYL+L8fenDxR62455sudMo1ZUr53jctETQGirf/oIk8jI+D4dBbtrTQ2CWsomsn+XBYg3yWq4CEbKxRL8n8bSHm7O86N5t5GNJxWOqhpOnTxktNMrM8WRasN8vFlIKTx0Qbr2wKYPobTXh9S1Dy72qeET3t+RglEUErcg5ptXYwLRBHcvw/rSCJKS4IshK6uUB0BPEC/Z7oUZn54c4wvm2LKlJAoF33mCBg6Z5sKeXblnfJfjdXbTdMTEoBqsysTGV9ph2n1NmsZW0iVdXDOt5oCaL2RixJmVnyNrmSmVWi4mJU/iwRVPmqOVpyqkkmvRdVlZl7v7OqNYI7vurE3d90YVNXjDiWKH1dpNS6pFoZmOQe1TKzzz//vOLvnHvuuWoPZ9KL0bHFTq9EygBXW5kZF4ScLd6VOKCVIvbEKSS/WtKB5/Zmz72BEN7fEcIHJ9XBSqh6AID1nVHMebcFu/bKyFw5zou7D6ko+G8x0Z9CVFPogVyFS7HhkHgfLRyHOydXYNbbzbLf747yhpXofH5DAMPLrfIbAsw9V/SszKT1zOyiysymeySUnFKEF4iL/t6c7adHD2uT4mVJYxg/+6SdqouS+owEYjx4AfBJZYOkIOho58V4fXtwpiI3rql1FNJs71BcgEeiIn5dZ4x5/7nsa09DHILlxl6SvaD0lI94owlzh7jx+PQqSTUF1uMC8j3uaH83ZWZNiomNnTHsDMSxf409L3315IKVtCTmrMpMha+aFrUnKX8E6+4EJFQLrBYOgiBg4c4wvmiKYEKVHacMdlHX/L0R8T5TKzMZg45K7YFSUAT7piUq+XmUF+Du1foyJsXOnkAczSEeXSqy/eNCYh1z+vstyaTrf/7oR41Let4z17zFi+pg5tVXX63YoW4GM03UUAKJUwVFyrZTa8DxOazMlHMoaIEX9jWZLwQdYR4vbAykfbaiJYrlzRFM7eMkfu+azzuSgUwA+L8f/DhugAtH9nfl7FxNCkMun/9coqVnohEh+eJZx49gzBgysyRYx29Ww17PytxulS/Bzxd3YFi5DYfuHUuVBJOjPPk39OacESM/wybSdEZ4PL3GjzUdURzR14nzR3hUJz79a61ftsFDMCYgxgu4bum+RK0zh3nw0GGVZGlaPSszBSFnyY5yQ5Ha3vG0qp1QTIBH9ao8AS+oH0e1IK4p1Fa6qEkAem1LEHOHujF7iFt2W1oQWW6uo33XX6yGm0mvQhAE/ObzDvx7XWKcrnNZ8PysGkyuy21fPVqSclyg+yIy/6TU2awl0e6ZdQH8ZlIZhpTtG5CVvOkRHnBbgD+t6MbfVu+THjx9qBtPzqhSfV6lSHLuoAa+E//tjvJwWDg4CQuy3igzS6LEluYmvYxHv+/BXV93qlZ/4oWEGl7q99vCPNoIvR5KeSwodVQvm6ZNm0ZcJAcCAWzcuBFdXV1wOBw4+OCDVZ+giYk5IWtDathWW00Vz6nMbO5udEwA2OqRcsN7O0KSz/ED3/bgxZRgZigmoCkUx0CvFTEBWNKYLX11z8puM5hZgiitlhYzfwuJnKRcsWHjyNKirJc6GDfuNbFy7FU7rD5arZWZqc+xFnnEue+14N0T67B/rUNxz0zSnKb19WoNxfGHr7vwTUsUB9TacftB5ah2FXImYqcU5Ld6E5G4gLnvtWDF3iz9FzcG8X1bFHdPqVS1v/9tkpaWTaU7KuDxH/14Zt2+RK3nNgQwssKG30yS7jOsr8xs7pIdX9kcxC8nRLBfjV1yTlBbmUlz3gd1UDmIC+rPTQvifBFTGV1We8q3Lu9kCmbS5im5uDRtLjRlZk2KgY92hZOBTABoDvG46YsOLDylPqfHlQtQ0V6fzCo7pXkDWlt3HPN2M748rQ+qnJa956Pk2AIiEQEPfZfeQ+2VzUHcuL/03NhbEe8rtTdxTMCFi1qxYFsITiuHK8Z68fuDyrPmZsXBTKMu1nSgFKpOTXonGzqjuH15p6YAY1wA3toaYt7efF+KF9XBzPnz58tu89JLL+G3v/0thg0bhr///e9qD2XSyxFk88P3YeXMioJMpHwLamVmcylhlUufQCI7lEWKKpHJs7wpgkk1dvx8vA9eGdk0FkgGcyBldfbId924a0UXwnFgTKUN846slvzOsqbsAKdJ8cNqSG3rieHKT9uxvDmC0ZV2PHBoJQ6uz212NYlSK0qgydVZGSuc/FFBtUM31wwrt2FLN5tkIescoTWYGeUB694hliYzK0coDry8KagimEl2/msZ+QVBwNz3WrG6LRFcWt0WxcrWKD4+pa4oZMKN+gybSLN0TyQZyBT511o/bj2wPGnDbOmO4ZVNQYTiAuYOdWNclV3TMbuiPP60Irtf04PfducpmJnbxJGZbzXjirFe3DNln7R/lBfw8a4wHv6+R9U+aeNl6t8icQEPftuNT3eHFe0/GFOyYtIP0X5RWbCqus3ENsYeRdSKWJkJg2ablVrPcJPS5G0Jp+7XLVHsCcTRx5O7BCva+BznBWpFduarpdTZrNU2bQ7xeGtrEBeN8gKAonE1yifkZaXWSP/8kb0Hcm/gm5YIeEGgridT58FATMAD3/ZgfLUdZwzzpG2ndB4p5VwUJb9twbYgPm+MYHSlDWcM88CdInffGoqjKchjTKWtKNYuJsXP3d90a343e2P/3N5KTgXzzzrrLDz11FP4z3/+g//+97+5PJRJCaPEfnUVUkvUoEiNz2r78/EAgmq9FTLkMkOO9ef+9OM23P5VF97eFsKfv+nGWR+26tLjifRUildyRXMEty7vSlbMrumI4crP2jUf16R4oDnbUjn7g1Z8vieCKA981xbFae+3MPUT2NIdwzNr/fhwR0iX/pwxXsB3bdK9OooVWt6CjdFaCsYFwxrFFrAHoKOMz6NWh1Fq0LRHY3T80b0BBqVzCUmWUcu6/Yf2WDKQKbKqNZr1mVExffTFxf2ru7M+C8WBzxoTTsD1nVHMersZd63owr2rujHr7WYs26MsUJZJT1S6qrmT0t9Wz97oMSG3vdYB4PEf/Vi7t2dlJC7ggoWtOPODVmoPXxq0qVpMqojxAn65pB1//qYbiyXUOWgU6rXd1zNTZWVmjudMmhy+XECSZi9prf4yMckHr2wOSH6+iTG5TS1ywUqawzrztVNqk+ixzvnVko7k/+cVti9oC0kPDjv9OpTglxDdUQEXLmpTrPolFRRWuvYq5Wos1t/252+6cN7CNjzyfQ9+uaQD5y1sRZwXIAgCblnWgeHPN+LQ15twyGtN2N6T2/HCxARIVLBrRWnrglIeC0qdnHf/njFjBvr374+nnnoq14cyKVGUjC+O4lBwyytSDdHVLsB5iiSfVnJZ5cVi4O7oiWH+tvTs1SWNEXzfrt14sxC84uKtyZSiAZBVZWFS2rBWwv3Ykf48dkcFvLOdLqWxaGcIU1/bg19/3oEzPmjFOR+2IqThPf5oZwjDn9+No99uVr0PI+Kg6Iqy5skEDNwzs13BwM/6PKrtZyGSuoDQUpmZitLrTwpMaEmNen6DtPOQ9LnRKGX5rVKki2BAiQlS/14bQEuKczUQE/CPH7RViHSrMCSLqTJTRKxq+nR3GO/t0BYApo2r72wP4ZBX96D2mV14caN2Z04+ESu51QYlc10hQwtsyMny0h5zPQImJia5ZqBPWoiNtbJZLXIyszQHsubKTJ0nByXmKW1cMIvbspm/LYRXNimzjaVUqpTLzCrbvphg+W09UR6PfJeuMvHRrjC+ao7gvR2hNBtxfWcM1y/t0PksTUzSUdM/XXI/SscC05QrWnIezASAmpoarFu3Lh+HMilBlIwvzgL3kDMiUvOC2gwUHsUpMysV0M2ElAn05I/q5MRSIS1exLN6Ywu7rrtJaaJlUZW6COyJ8vjXGj/u+roTX+ytvLn9q660oNOiXWG8v0PdMxeOJ7JoadU3xQqtMpNVZjYYE3JeLaSWdkLjeylY5wjtlZn7jveqDtmYgPKACakyU8ucRHqWWCuwC43poy8ubIThSQxKPyohi/r6Fm3v22cKqwYBfXtcxgR9g6Mkvt9bTX33N9mSukqhjZd/XNGFdZ3FWfmwr2emuu/zMpKTWqEFNoIaZGa1zn8mJnoRiPG4fXknjpvfjN983o6mlCa8A73Smd6bunJcmUkNZtIT/zIrIfPdMzNrfwre9ShPbjdheqmkeYmhT7ccSqeQUk7aY/lti3aGJQsU5q0P4N6V2Un2WpO5TEzkyEzYV4s5FvQeVPfMZCUYDGLjxo2wWPISNzUpQZT4hWk9z3orUpdPdTBTAAI6Vc9k8l1bFDd+0YHbDyrXpU9lKixrENJCJaCDs4L0VBo05mFSANT2sQX2VRQGYwJOeqcFq1oTztf7Vvfg/kMr8a2EtOVtyzsxe4hb8bEW7Qyhp0RT2OyUZBjWPJlVrVEM8hlTIkCJM4h1W609w8S56PfLOzXtJxWlwWSSTHNYw3NuJ9giat/zPYE4XtkcRFuIx0mDXTigNrd9cks5Y70UsREGKKMN1fpWZuYnmNlvbyBAD7WMUuszLSI6gtQ6hGJC7q6NIAjJCmUp5CszaTKzib8FYjxCMQHVLmPO/SalzyUftSWDDcuaIljSGMGSU+tht3Coc0uvqTfnPJgpIzNLebcyhwOlfgu9q6aVHH/yq026HtuEDaW93o1mH+kJy3zaGJCeGBsDcXxNsHd4QUiqjX2yK4T/bQqizMHholFejKnU1ofdxORLiYprNeSySluP9mMm+pHTCGNLSwuuuuoq9PT0YP/991e1j127duGxxx7D3LlzMWHCBNTV1WHUqFG48MIL8dVXX0l+p6urC7/97W8xYcIE1NfXY+LEibjtttvQ0yNdYcXzPB5//HFMmzYNDQ0NGD58OC699FJs2bKFeF4LFy7EiSeeiAEDBmDgwIE4+eST8cknn6j6jSZ0zJ6Z2pC6fmp7uoXiQk6Nvyd+9OOij9p03y/LpEZsbK7D7yUFQszp0ERESzDTuXfcm78tmAxkity1QjpItFWlvFTm/ksJWjIMqfIpk+c2BHCPREZrscH6PGp1GIm9Od/UsTpd6RxFqjLWEqglSRarec/3BOI4bkEzfvtlJ/62uhvHvN2Md7fnVobSqNXFJtKQhi6jZRuzqGSwEuMFXSs9SdTvDQTocealWsknOk7V/rwYLyCq8tmQe6bknLpywUxa/+hwHLj1y04M+e9uDHu+EWe+30Ks9DcxyRV7AvGsqql1nTF8sSfhGCZNAznvmUmrvBSU9cxUmmC1J6jve6hXpafppcodSuefUu6TR/ptHWEeT/7Yg7u+7sTCndLrrgoHOTwgTm9vbgli7vuteHZ9AI9978fx85uxvrN0/QNGhxcErO2Iwl/k9scuQoBdKUrXsKREiOZgHNct7cAZ77fgjyu6EInTFQV++nFb0d+DYkN1ZeYpp5xC/JsgCGhubsbWrVsRiURgtVpx3XXXqTrOE088gQcffBBDhw7FkUceidraWmzcuBHz58/H/Pnz8eSTT+K0005Lbu/3+3HSSSfh22+/xVFHHYUzzjgDq1evxsMPP4wlS5ZgwYIFcLlcace45pprMG/ePIwdOxZXXHEFdu/ejddffx2LFi3Chx9+iOHDh6dt/+KLL+KKK65AbW0tzj33XADAa6+9hlNPPRX//ve/MWfOHFW/1UQaQYELwWkGM7OQsmfUDrP5WKQv3BnG7kAcfT36ZTizGLi5DDiS7GW9/HqhmIDGYBw1LgvKdK5qNckPNIeZHGIQ7lqJfhbtYX0Xa27WqF4RQpWZ7WUS5lE+YcsRkzz2orUyUwzuNQb1019Vmqwj129QDSRfgJr3/OVNAWzp3vfFmAA89G0Pjh+ovLKalVLOWC9FSJWZRoud6ek7jAr5yZDW85yNdj/0IqqxMjMuAFGVF6crIqDSSZ6n5HrnycnM0hJQnt8QQFuKfPsHO8O486su/O3QyrTt1nRE8eaWIMrsFswd6kaDjusbE5N3t0sHJR76thtH9HUSAxsbc1yZSXv14oJATTTIlJ0uVGJOMCbAbeN0q/RU0jNzfJUN37cXp/R4IVAqVa42sb8YkHpcO8I8TnynGT/IPFPldvJDGuEFOK0cnvixJ+397ogIeH5DAL8/qELtKZuoZE1HFGe834od/jjsFuDOyRW4eryv0KelCr0S/pROF1Ee2NIdw/xtIVgAnD/Sg+YgjxPeaUbT3sSYD3eGsb4zin8cUUXcz6ubg/DZOfz9MPI2JvqiOpi5ePFipu0GDRqEP//5z5gxY4aq4xx44IF4++23cfjhh6d9/vnnn2POnDm49tprcdJJJ8HpdAIAHnroIXz77be45pprcMcddyS3v+OOO/Dggw/isccew7XXXpv8/NNPP8W8efMwbdo0vP7663A4EtJdZ555Js4880zccMMNePXVV5Pbd3R04MYbb0RNTQ0++eQT9O/fH0AiIDp9+nRce+21OOqoo1BWVqbq95pko2RAcvbi9WGD24JGiUxEKV+P2rmiJ0cSs5m8tz2En4z26rY/lgwdkummx/qJ5AzhdQiVfrY7jJ981IbWMI8apwX3HVqJU4fmzsltkhu0ycwm/tuVhz6W7hJOGKHJzJbwzyYS5QGHzJyqvWemAEGmd5JSlMvM5qAyU0eZ2VuXZ/fqW7pHHykeErnsX2eiP+Semfk9Dzl0fc95IS8ys+IYZUJGa8/MuAaZ2Y4Ij0onORNJLggRopy0IBNwaZPoQ/3kGn9aMHNJYxhnvN+aDJo++n0P3j2xFgN8+nT66Qjz+HR3GA4rcESDU/c2HSbGhxQgEx9t0jzQHhbQEaa/Pyxs74nhzq+7sNMfx/EDXbhirA8uG0eXmeXpdkbma5sn90MWTcE4BpfZNK3RUlGyG5/dghl9nfhkt9mrkAWl9sWXzRH8ZWUX+nutmDPEXVLJ4FIJDPO3BWUDmQBQRqvMjAuAHVgs0TP9/tU9yWCmIAh4a2sIy5oiGFdlw1nDPdQ1tol6LvukHTv8iYTXKA/89stOzOznxLiq4pP91SuYqXQ323rimP5mU9If8OdvusAB6MqYeN7eGsIdB9GN1XnrAmYwM4+otqQfffRR4t84joPH48Hw4cMxfvx42cx+GrNnz5b8fNq0aTjiiCOwaNEi/PDDDzjggAMgCAKeffZZ+Hw+3HDDDWnb33DDDXjyyScxb968tGDmvHnzAAC/+93vkoFMADjmmGNw+OGHY9GiRdi+fTsGDhwIAHj99dfR2dmJW265JRnIBID+/fvjsssuwz333IO33347WbFpoh1lwczeO1HOHerG7gCP17eky89JBcx4lUZ5virn1TiRaYsilp+by8pMUjWOVv9YnBdwyceJQCYAtIZ5/Przdszo50SVxsWpSX7RFMzM47jnKuHKTMr6jVlmtpSI8ILssyVX1SJHjNe/ClDpq0TqmanlnST5RIpF1qpUK8hKFVLluNGeN117Zgr5eU7v/qYbT63x5/5ARYwo0aW6ZyYvqB5vO8I8QMkflpOHpM1hcUH7GuDv33anHWOHP47/rA/g5gPKNe45UUlw8jstSUfmuEob3ji+FnXuXpzZ2wshmWniupg2D7SE4pqCmV0RHke+1YyWUOJFW7ongl3+OP4ytZJa+RZXLDNbmLlsTzKYqc/+/AoMXgsH/PaAMny6O2y2pWFA6SOyqjWabJ3y9Bo/3jy+Fr69xrsgCFjeHMEP7TEcXOfA+OriCgxJ+euuk1BvkoKWhMD6Hvz+qy48/N2+9m7zt4Xw36OqNcUETLLZHYjj27Zsed+Hv+uhVhAajYU7Q/jPugBe26JPCxU1rVJSE5u7CdkzcQFY32lWyxsJ1cHM8847T8/zUIXdnphYrNaE0b5x40bs3r0bRx99NLze9Kour9eLKVOmYOHChdixYwcGDBgAIFFh6vV6MXXq1Kz9H3300Vi8eDGWLFmCc845J7k9ABx11FGS299zzz1YsmSJGczUESXDkbMXZ/14bJxkQE7Pysx8QcuUJkEzsFikRHJZmUlaSGrd9bdt0eQCUqQzIuDxH3p0cZSY5A8tiQL5HPdKeYSlZY1aeuECjOWZlOs3JkeEF3QPuCg9pczMSxEtlZlWwvNSLK00jFbRZ0KHlGwhl+XMCwLe3BLCV80RTKyx47Shbl2y50kS1Xr2zIzmqTITQFJmykQacQxXO2TGBfVjTrtEdWQqcu8AbQ7Toxors5chANyzslsXG/3+1d3JQCYA/NARw5Nr/LjFtP97FSR7Q3z0aTaRVpvkgx2hrHXo02sTzyDt1YsLAjVAGYoL+HhXCK0hHtP7OgtmO4m9N9XKYGciN16lYuGAKX2ceHx6FS7/tF2X42ul2mmRrEgvBJl2hpZbtKIline3h3DGMA+AhCLKo9/vC8bdM6UCV44rHulOqWBOiLHNBa3FBsuc2BXh8Y+UawcAC7aF8H17DBOKLChsdDLHXpEF24IAiiOY+eGOEM76sFVXez6XawOW8S/GC8T2Hyb6oo/GSQHYvn07Pv74YzQ0NGD8+PEAEsFMABg2bJjkd4YNG4aFCxdi48aNGDBgAPx+PxobGzFu3LhkQDRz+9T9pv7/zD6aqZ+lbk8jFJLucWCSTjTG3mTKxhnDwCoENiEOgc++VnFByHrWwlFjN+nuCUcVvx+k6hoACITDCIXomTSxmPTf4/E487l0Rngs3hOF18Zhar0drr3psoGI9PWO8byqcUD8zto2aemZ/67345qxDsm/kYhEImn/NckvgbD6d9IixBEIKs9mU/PsaTlPo2ND9lgpEiuUxlUB6Q6E4BboGfvdYW0Ziv5gBH4d+2X+49sO3bImozzgDwSzqt5ivICn1oWwtCmKURU2XDHGhZqMyoYQYcwPxdjnEzmCwWDOspyD4QjUnKY5jxQGTpC2f7plbKlff9aKZzfusyPe3uzHE4dpd9j1BEOSQVHSe6GGUCSGWFy/scNEPcFwFKEQh0BI3f2Nxnl0B9WNi03+MHWs6paZX7opNk13QN05sYzxSueB9jCPTd1xjK+yJdcW89YFsrb7y8pu/Eah/W8UzPlDHXyMsMaMJ9aYYYofpScYRsitfhx9aUNP1mdRHvhgazfClAjkO1sD2NxNPm5LiMep77UCACodHA6pK4zLckdXGKGQfj0zW1kjSkjM66FQCLP7W9DvmHKc/EF2y4F809/DgeB6yDudgVByLAS02xc3fdGBk/tZsKU7nhbIBIA7vurEmYOs8BaJTI8/pM6GBwA/ZV3XEwwjZCP/PRQKYcHWsGQCxYOrOvDIoQkZhQ1dcTy+JogdAR7H9HPgkpFOXdYzvW0OiUUIvku+eOIM//qxW/fgYy59Vc1++QGw0x+Cl9J7ttAY+T1xuVyKts+JZRAIBLBw4ULs3r0bBx54ICZPnqzr/qPRKK644gqEw2HccccdyUBkV1dikq+okG4+XF5enrad+F/xc7nt5b4j9slM3Z7Grl27EDcX4rL0+B1gfVTjoSDztqVGuKcTwYAFmb8/Fuexffv2tM/aOmwAjLvYberowvbtrYq+0xYBAI/k33bs2g1XJ32mJF2TQCCA7ds7ZI+/JcDh6u+caI4knNrjfHE8MiGMMhvQ3Ca970g4uvfeSJ83CfF+RjstALIH/e3+7HvOyp49e1R9z0QbrR12AOoyFoPdXVi9qRVKn6N3f9iJnjhwQDlPlVhNZU+rsccOLcQjIWzf3in5t4T/Qdn11QsrBMQLUBO7decuhJ0y42Y3+/wsxc6mJlQEeOh1bW/5Sl85yE3bdsCVkev2x/UOvLEn8Zvf3RnFgi1+PLN/KO0daiGM+T3BsIqxWfrabNm2AzbNauLS+97T3ILtgnr71JxH8kskKP0eNrWLtpT0fU4NZALAW9sjWLxuJwBtfbc3b9sBKaXL1jYrAKemfYu0d3YhGLIAMCU1C03j3vFiF8EmlSMYiWLH7kaoee42N7ZhO0d2rm7r4aj7benoBsn22rJ9J9TMTdu2bU/pYyj9fSXzwH922PD3LXYI4OCzCnhwfBj7lZPnTbX2v1Ew5w9ltBPG1WA4YW/0BJwgjZM7Gveg0q8+EbzTL73v5dvb4LIApPXCkib2pLOOiID3dxYmkXLDng5sd0URjruhhzZNWyjOvJ9IeJ+92NKtbmzVm2ouDKP42TZs3YGKlKG7tV3b+rQ1LGD79u34+6bs9XgoDrz63W7MrDGa31Z6Dtjd1ILtWT5mtrmsvccP0j3etnM37F6BuK/t27djZ7P0eLSlPYjt2zvQEgHO/8aNtmjiPfhodxQbmjpw1WD93vHeMoe0BKTtmyiv3g+Yb+bv0N+30tzRBbU+NTm2NHfK7nvT9h2oLIIiZKO9J1arlViUSEL1bPT222/j0Ucfxfnnn48LLrgg+fm2bdswd+5cbN68OfnZFVdcgbvvvlvtodLgeR5XX301Pv/8c1x88cVJ+ddipF+/foU+haLAvaMbAFvmQFWZB2g1XpZBPuhbU4UdQhRoTv/9HGdJ9nwV8XUEAOijS54LrG4fBg5UVh1g8ccBdEj+rb5PAwZW0Yc7d6f0NXG5PRg4sI/s8e/+vBvNKRkuP/RY8XGoFlePdcNL2LfdYcfAgXUAlAVuxfu5wRYB0C25Td/+AxRJHEQiEezZswd9+vRJ6x9skh9cLX4A6rLoyivKYalyAJAOxJH4yarEwniIz4J508swqkLeJPD2BAFkVwOUAg3lbgwcWC/5t0hcAJa25fmMErhsHPwFaNFQ16cvBpbJBAo2dgFQvwCtqqlDQ7UNgDEktDKp7ds/rf9wT1TA/CXpz8GGgAW7nA04omHfyqXML/2ecDYH8RkjIz0/9Ok/AB7NWeLS+66sqcHAgcqDTuY8Uhh827uBlmzb1+4pw4ABHgDsY9eX0WpotQ/r+/VHpUSGTGU4BECfhAO3rwyOcAyA2b+m0FRUJcaLbY4oAOXVQ1abHdV1VVBqwwCAxVuJgQPJwcrmVvo52Tw+ANKZ9nV9+4G0rqDR0H9ASr9p6TE2c11GYkNXHA8t3ncOPXEOd2704MtTKkF6r1n3bTTM+UMd9UIYWJtdIWm1J+wN67pOkMbJ6rp6DKxT73Wd2OTHFx3Za5fdgg+TKmwo9vVC1JnwR0Q/V7ZOJxGIs9tsXpcraS+2t8WAVcrHR73pW+GFUUozqxv6oZ9n3xqlnGB3K2HgwIHYSnpffNUYOLDwAeV0lNjwbM+wzekBye9aU9+AfpVW0OaefvEwsD57PILdiYED6/HRhhDaoul24BtNDvzxsD6aW7r0tjkk2h0HVnRkfS6AKyI7QJ+xNRWXtwxqfWpy8C6yzShSkzE2GY1Sek9UBzNff/11LFu2DPfcc0/a57feeis2bdqEsrIyDB48GD/++CMef/xxHHnkkTj22GM1nSzP8/j5z3+Ol19+GWeddRYeeOCBtL+L1ZKdndKTfWZVpVTlJW37zO9UV1enbd/d3Z21PQ2lZbS9FYuF3TBx221gDXyWGuVuB2zW7OxKgct+1jirsa9RT9yi+P2wEKQWgMSCzuWiD9YCJ31NOAvbuby6NXsy/sPKAK49oAq8RXrfAqf8dwL77qeFMoJvC9swrkr5AtXhcJhjUwHgOfVGF2exoTWm3mja0sPj/h8i+PeR8gkEgqV0ZWZnDPAQn317vpqzSeCxWeAvQBNDzu6Ay0UfQyKCdDIFK4LVDouRDWm7E66U0swP9wQl5ZPu/S6EY4aUJf/NWQmybwKn2/hqdTjhYi2pVojFZtd0nuY8kl8ETtpOjsICq0PZfWiNaH+mLBnvTfJzijyZ8oNYgV7cWsJQWG1wuVywqoyJxAXAYlf35T+vDuDEoT6Mr7JhRUsUq1qjOLDWjv1r984rVrpzNEqRUrfY1VURcw4nXHb6e8Q6Pj67siPrs+1+HhuC5AVAsY+95vyhDIdD2j4V15gCR7HTrA64XOqr5Z12aafuui4e+xVIGlZPIoIFTqcTlE42OcNm3ecj8LiMsfZy2slrTbeVQ1AnOV4W4tb0NYqFYHcrweVyISJI+4XLXMUzLlms6m34KKVymLM7YHGQ52qXywWvS/oZiO5d/9zyVba/rDUsIMg5UCNhN6qht8whdoKcakwofjtAC3Eud4HE7jjDGsnmhMtl/PmvFN4T1SvWlStXoqysDPvtt1/ys46ODrzzzjuoqqrCl19+ic8++wyPPfYYBEHAM888o+lExYrM559/HmeccQb+8Y9/wGJJP32xZ+WmTZsk9yF+Lm7n9XrR0NCArVu3Ssq9Zm6f+v+l+mLS+mmaqEeJ/eiSWbSWMm4rJ5nRJOWDFyQagxuJDhXN5cOUYANLHIL0fT3WL1GCcc9rvA9SDd5FVrcaY+FjwgaltYwscUGg9p5h4fUtQcQZXpRIAYN6ueaMYeTqDq193G0cIOPbJOIqUI8WFudNUCqyp4BPdoXx0LfaAqK5JJwxdpN+beZ7QfLn6OkQY3lf1VKA2LmJBqKEZyEYFxBS6Fws06HPC6m/mJ6PbEyg20Am+UOcBtSOGzFB29g46+0mnPhOC45+uxnXLu3AzLeacf/qxLwiZ7PQnO9q++SxfI91HfbZbulg0S6/0eQOTQpFjPCMi48haX6Q+xsLpO9v6IohUAKGRCgOyQS2fGBJWXhobymgDzTFJ+1KIcoIxNjsbq37FUn99L/r/Zj8yh6MemE3bv2yk/gOFoqohtOhtXWNxAXZMYNUXCmup0j3SUE7WZO9kK6lkR7H97eHcMzbTTjgf4249ctO3foP08ilr6otJD+vKV13mahH9dTY0tKC/v37p332+eefIxaLYe7cuWhoaAAAnHnmmaitrcU333yj+iTFQOYLL7yA0047DY8//niyT2Yqw4cPR9++fbFs2TL4/enl636/H8uWLcPgwYMxYMCA5OeHHXYY/H4/vvjii6z9LVy4EAAwbdq0tO0BYNGiRcTtxW1M9EGJr8LRm4OZNk7S4S51/Yw+xrar8GrQJkeW35vptE5+V4cJMUp4iLX64WjrxK5CpJGaqEaLQ8EfE/DbL7XLD23rkV9J5MMILQS/nuCDh+It4Djp8ZUVqwVwqNyBp0DzGikJIxWtwcyn1/rxxI/69rnUk8wFCelOZF4FkmNjQ1cMazr0STTRkgAhhxkkKi5I80coJihe1D/0nYQ8mOLzkf5c12AmLxjKYdObEZ+/mMpxgxfIYyYLoTiwdE+6AsqfV3ShI8wjLGPW0OYwtWOs3DEBoIdx7iQ5hs0x2kSE9JyK61fac6zV6Us8tgBs6Cx+CfBgjC/Yuid1RWIU9xZtGePRIRFKCZljt163iRSIEIPz//yxBz9f3IENXTE0BXk88n0P/rLSWEmZWnwKtOc9yssHM0lzOcnPJuLP5aKmRIkb/JJ92xbF+Ytasbw5is3dcTzyfQ/u+Dr3ctm5dIGy+KhL1VdmRFQHM/1+P5zOdFmK5cuXg+M4HHHEEcnPOI7DgAED0NLSouo4orTsCy+8gFNPPRVPPPGEZCBTPNaFF16Inp4e3HvvvWl/u/fee9HT04OLL7447XPx33/6058QSel398EHH2Dx4sU46qijMGjQoOTnc+fORXl5OZ544gns3Lkz+fnOnTvxz3/+EzU1NTj55JNV/VYTaZTMx07jylPnHLeNk3S0Sl0/o4+xHWHlJ0ibW1gW/STjTEWRaPa+CY4NrYtI2u8y+j02SUfLs6BXMGhtp3yQpRQrM8dW2nD9/mWy22lJOrZxHBwq5yd3wSoz5e91oMQHmszFNzGYmXEZaH7qkxa0oFWHFGStFRU0ZYBfLunAv9f6DZdtbiINyQcUigsIFaCshDR26BvM1Ec5w0Q74vOnujKTFxDRuSojJgAvbwrIOlBplZlqx9i/rOzChYtace9Kcq/Orgjbvq2EaGYJFL2Z6AQpiYCtMlPbsWn77tFSHmYQgvHcJo7RSA1g2jT2EtSDS0Z7qOsgb8ErM/V53kgJLoGogBXNEdy0LDsY88YWbX3G9UZLkItWVRbh6f62KC8Q/y7OxaTAvL9QJdBFjNGTmt7eGswaP5/4wZ9cf2pVqCORy2CiWZlpLFSL+VZWVqYF8wBg8eLFAIApU6akfR6Px+F2k+XbaPzlL3/B888/D5/PhxEjRmQFKQHgpJNOwqRJkwAAv/71r7FgwQI8+OCDWL16Nfbbbz+sWrUKixYtwoEHHoirrroq7bvTp0/HRRddhHnz5mHGjBk49thj0djYiNdeew1VVVX461//mvW77733XlxxxRWYMWMG5s6dCwB47bXX0NbWhn/9618oK5N3ipqwwxOF3bJRW/lSCiRkZrM/lxpyjT75tauIIGqvzCR9rv1akRx7LNnbNGinZvR7bJKOERIS13fEcLxMv3hSYL5Y+fthlTh1iBtlDBqwCaeiuvfKyonzk/LvFy6YKb+N1spMo5M5/pNMjMxLRXMktIZ5vLs9hPNHejWdG8ulbwnFcd+qbnzXFsWUPk5cP6ksKVtMc4bzAnDN5x34eFcY/z6ymryhiSEgyszGBM12hhpIY4eedklMMJaUVm8mygsQBAEvbZTu3SpHTNCenCHF1u44qpz0uZ0W7P/Fkg5Vx31mXeI6vLWV3Au9K8Kjv1c+w8lKOH3TxjcRIdkb4jNCm+u1On1pSW/57J+YK4IxXhc/gBpS7U3SOJBPfjrGhxc3kMf4QsvM6rUcIT23PTEB//ihR9Lu2B1QZ2gJggAuB4FqLfMp7XmXk5kNxgTimCLmcNotgER3t5JIfsg3RreB71uVXbEcExIy+QN8tpwF/XI5ZrNUZhZqzuiNqA5mTpo0CR999BHefPNNzJ49GytXrsTXX3+dlHpNZcuWLejTp4+q42zbtg0A0NPTg7/97W+S2wwaNCgZzPR6vZg/fz7uuecevPXWW/jss8/Qp08f/OIXv8BNN90kGVR98MEHMW7cODzzzDP4v//7P3i9Xpx88sm47bbbMHTo0Kztzz77bNTU1OC+++7Dc889B47jsN9+++GGG27AzJkzVf1OEzJK1mu9umemEplZAwROaHREeMUGHm1BxTKnEGXaGL4sJ0VLClRprXKTc0abFA9GkKRYyyAJVUqVmeeP9OCiUewBJS3Ti4VTL4PuLpTMLMO9LvVgZmYBJWlKyswulZNb/Nuqbs3BTBapp9nvtuCH9sR7/VljBN+3RfH8rBpEeQGXfdome4zXtwSxpTuGIWWqlwsmKTQF43jiBz82dsVwZH8nLhzp0cWRRXoNP2uM4KBX92jev1JIEtV6xl9MmVnjEOOBP67owpuU4B2NuCDkJKErHBfkKzMpc9h3bbnrPd/JqINGmv5Lfe41YYdkC4iPPk1hIZfr0FKoTgnGC7fuSa3KJlVo54PBPituP6gcE6vteIUSVM13ZWbmGMjrNIcQKzNjAjZ3S6+Tu6MC4rwAK2NRxe5AHL9a3I4vmiIYW2nHX6dWYP9ah+pzzkTLfEqbM6M8Pak5FCe3NhD9HHYLJzk2+E25AcUY3QYmPUobumKJYGaO7Bg9VPVIsKhqmP1f84dq78RFF12ERYsW4Wc/+xnGjh2LjRs3Jj9PZdWqVeju7saRRx6p6jj/+Mc/8I9//EPRdyoqKnD33Xfj7rvvZtreYrHgyiuvxJVXXsl8jFmzZmHWrFmKzstEHUoG6t7cM9Nj42CRMHalKluLYfLrjgoodygIZlImDhYZA5LxFmaYaMOywUxSZaYpM2uSIBdVCUr5z/oAHj6skupc783ZZhYNmdFWjoND5fcLVZnJ8kxmZkaXGtkys4R7kSkzK7OQYn2PBMoYn3mMHT0x+OwWVO6tRPqqOZIMZIq8sz2E3YE4/rcpgDe2sAUe/r3WjzsmVzBta0KmO8rj5HdasG5v0shrW4LY1BXT5doaIRkmFaLMrI7HiPG5k6gyUYY/JuD/flAvd98Vke/DpYYwg3xtoarHWBxiX+wJ46tm6YAqzVmmxKluUvyQzLCkzCzlUdOaRECtzCwB+/C7tigmvpz/hCAgvTKzQMsAPDStEheP3pd4R3OzeRgUbvQkc+zWo1o9HBeIY2tbmEcrRWKyOyqg0sl2o875sBWrWhNj+5fNEcx5rwXfn9UAn07XUG3/aoCuGhbhBUQp+w7EyHOuGMC0EX6iWZmpHIOZ/lkM9FmxrSf7gTjnw1bcO7USM/s5Jb6lnUKviUohkadYUD1izpkzB9dddx14nsfq1avh9/tx1lln4eqrr07b7oUXXgAAzJgxQ9uZmvRalNjZvb0ys1R6ZgKJ6kwl0AKKTDKzlJ5Tcsg5S8hZarK7pkKXmdW2b5P8kstm5Uq4b3UP9e9GkMMtFFp61lgtgFOlc7FQwUw5R1SUF3STdTIqmeM/6RZmXgY5RwLrPZXrTQMAzcE4Zr3dhAkv78Hw53fjlmUdEAQBjxOCC29tCeLPK7Klf0i05TLFtRfx8a5wMpAp8vQavy5BHKONy2SZWf2O8dqWIL5vl1cTMMk9X+wJa+p3FReAyz5t1/GMEuz2x/HSJrr0baECLl3RhAINqULzx/YoTnu/lfj9ACVjRi7B0qS0IFVeipVq1MpMjYMybe4phWBmIUnrmVkgmdnM2BotScKTZx+cPyP4pYd90UIJVv53fQCbu8mOG1a/1bqOaDKQKdIZEbBoZxhAIolRa6KWliJHes9Msoys+F2STSsOB3bCM5R5P03kMbrc/ACClH4oDvxySQd++rG8QpAaCp14X+jj9yY06UbdeuutuPrqq7Fp0yYMHDhQUkr2+OOPx+GHH45p06ZpOZRJL0ZZZWbuzsPouK2cpASe1PUrhmz29jCPQT727UmyZgCbrC7p+yz9puQkaEhBS60OB9rvMrqBY7KPGC+gKWgMTYr7V3fj1xN9xMVGKcnMKl12a1mnWznAXmQys5d83I53toXw0GFVksG3Uq/KBNh7ZmZeCbk5x83omaI5FURnxe+Wdyard+IC8I8f/Jjax0mcA8K8oKgayVyU6cMdX3VmfdYVFfB9W1SzvBjNWV0IiM51Y52miU4YNQv9g73OYRqdDBWSueCVTUHc+mUnGoM8JlTb8czMagyv2OeWeXVzkDrHdlMcv+E44DGVwXsNpNdPtAFoAUctNn0oJqCbsnOjjgvFQqpPp1Ays5l3l7YcybcPLrsyU/s+mzWsxbv2BjN39MSwuDGCwWVWTKl3ZKmmfdYoPS/9a60fW3ti+Mf3PQjEBJw7woM/HlyhqspeS5IcbUyIxuUTGORiunbCs9zTC9aUemP0IdYm8+wuJyhPaKXQvipz7ssfmk3d6upqVFdXE/9uVmSaaEXJcKC28qUUcNs4yVJrqetXDGNsh8JqENrmLHIbpMAiy4Qk5+ylOfa0OCFpv6sY7rEJ8NnuMH7zeQc2dBmjwiQQE7CjJ46h5dLmAUvi6X2HVuC6pdmOe6OR32Amp3p+chVKXwrAS5uCKHNYcN+hlVl/6w1Z95njP+lOZA7jcuMva28heu+axN9e2hjM+ttTa/yod0sHTJVmbGtVEDBJQApM6FFVabSEdqLMrJlkVZIUc5C6UDKz72zfJ/P9XVsU5y9qxRdz9yWF37uKXj1vBpFMREiPAkvPTDXzT5wXcPOyTjy73k+VOy7Uu1UqpPXMzGFl5uENDixujEj+LbM/Ii2omm91tEybSo8k7lYNSiRdUQEf7gjhvIWtybXyaUPdeGJ6VVpQh2RTf7QrjI927Qt0/uMHP2pcVly/X5nic8k0N2ktKzKRq8ykBUoTwUx6JTjpWfYbTWKkCDD6EJurnphyFHrdWmiZ295EgUQLTEzYUTIB9+aemQ6LdNVIscrMKs2WphlXLL+X1NCcpSpFXmaW/DctVS+0rxazc6m3EIjxuPLTdsMEMkWoCxmG5/XEQW49TydnKE101pIZzXGAXWXWcr6lmzJ5Z1t2sAzoHQ7TzPGZ9IuVysxmSncFYjzu+aYL5y1sxf2ru5OBYmowU0g4FaX4dHeY2GNJaca2FgWBNR1RXP5pG05Y0IyHvu3u1cEs0vihpbeRiNEWziSbyGCnmcas/rnp3dMbMPBtLRrWdMSwSYEt2E1ZI5nV9L0LUrByXzCT/F01FVxPrvHjn2vogUygcI7sUiG9Z2Zu1gHzjqzG2yfU4YSBLsm/ZwamaHl4zrwHM9Mf7FzLzMpx8jstOOOD1jSfz6ubg1iSEShWksT+1lbp9Zccf13ZjWuWtCcrTZW0spGr5KbtKxgXqEppPVE+a/0jYsrMKsfoa6pCJbSYlZm9B11ESH744Qds2rQJPT091MDTueeeq8fhTHoZSsYjWlaYjcvOVColOI7LkrIQEQQBXMrf9JQgdVkhu6BRQ5fCDC3a4p3lGSI5bHtiAsJxgWqkyzl7aZOqlgmPZhAb3cAxAV7eGMTOgPHKnrb3xDG2yi75NxYDkbXqrNjQkhntjwpF1zNTZFdAeizuHTKz6f8mycemjrftYR7z1tH7tKVeO0EQcOYHrUmHx4JtISxriuDFWTXUeS3Ok/utAeS+NEqTn9UGyhoDcZy4oCXZc3Ppngiagzz+eEiFqv0VOyRlYS29jfTch56QHORGTrJ69PAq/GJxO5M0qUk6Rr6vxcTajiiGEVQxMqGtkUxHWu+CZIolZWYp60ElQQ6Rx3/oYdpOzb5N9pHqdshVnFDcL0kiNnPNRzuPfFdmZqrD6DEPtWoIZpL4w9edWNivPvlvJTG7zN6aSvj3ugCWNUWweE69bgkuUZ7uewrGBKpPrIvy47X03e6tGH2qL5QtUuiErluXd+HYAS6MqpT2pZnoh6Zg5jvvvINbbrkF27ZtY9reDGaaqEGRzCyl8sVj46iTaClAk8BLtTH1dDxUOixoDOpv/HUprMykLZpI1Stp36dMfDPebMJnc+rJfQRVyswC9L43ctB+FkufUJPC8s81/kKfgiRnfdiK+w+txE/HeLP+RqpgTsVTqsFMDT+rK8Kr7plphOuZmRAD9A6Z2cwFESkRSPy4J8rjpHeaZfebmoG8ui2albn93vYQtvXEqIlCUR5oD5PvAWm+UiptrnZR+PbWYDKQKfLchgD+cHA5MfGqlCG9/nokHtGc1YWAZI8Z7DTT8Ng52f4+JtKYwUx9UJK4ZFZmmogQKzP3jsO0BCZaFdW2nhg2dsZwUJ0D5Y592Tibuo2XhFmKpFVm5khLTzyGgzH5jda/Mf+VmRn2uQ4TkZaemSS+bkkPSAZ08kWy2I4/dsTwTWsUg336NDSNxOkyssGYQPUTdEeFrCTRfX8zHVdKMbqvr1DBzELLzALABYva8OVpfeQ3NNGE6mDmxx9/jAsuuAA8z8Nut2Pw4MGoq6uDxWIq15roixLbhGZIuXpBMJNkY2b+aj3nloqcBTOV7ZMWUGT5vTTjbE1HDG9tCeK0YR7F3038nfy3Hg3PJC2WYPoyjM93bblpfK4H1y3twJwhLtS40hdAcs+63ZJo+G7hjO/gHKMwY06LzGxMAJwqzaN8ZztLERey5aV6Q2VmpkQO6ZkWh/hFO8P4oV1eKjA1A/kf30tXOXywI4T9axzEfUR5AR2UyYXk/FJaLaG2uuL6L7L75raFeXRGBFQ5C/9M5xuSTJwer5EaqcBcQjofPVVB9MZj5YjVKSZ0zOCZPihxwNEqM8370bsgVebzSAQ8aNODlE0vCALuWtGF+1cnbBOvjcMLs2pwRF9TijufpK45LBwHDvpLeouJZaTkt8wAIa1ooNCVmXoMe7vzoJbUrtCojvGCZKIVqyLHv9f6cdP+yvtuShHlBWpyRFAm2NkT5Ynz04sbg1i0czdGVNjwx4MrcFAdef1jkoA3uMh/oaTGtbRH0Yt1nTFs6IxiRIVZnZlLVAcz77vvPvA8j1NOOQV/+9vfUF9fL/8lExMVKApmUjLGjOAQzjWkn595DfV0KFU4cpPAoFRmlmY8sRi4pEwxkb+u6iYGM+W+S8t81dLwnFZhY2SnoUlCitLICABe2hjEVeN9aZ/LVSGL2b0OS27kp/XCwgHnjZB+n0lozYxWm7VcaJlZIDG+Zi6me0NlZubYTXr8xeH2d8uzA3hS9KSM+7sJMr4WcNSs1kRlphqZWXWVma9tDuCx73vgjwkYV2XH7kAcaztiOKzBgQcOrUS1y4wE0SDJVOshEctSMZ9PSPOEAfwLkritHKwWjvjOmNAxZU31wa9gMKBVZhrZ9jLRH1Lf5SgvyAbIpZagq9uiyUAmkEi++uWSdnxzep8shQ6T3JF5qW0W5W0C5BCXJZeP9eK5DdntEU4bmr5O6uch23m0QGcuyKrM1GEaykVyfiYdCtf/3VHpBEDWfusc9EtwifB0n1YwRu+p2R2hy9A2h3g0hyKY+14LvjmjT1ZCtUk6Sisze6I8fKSmpTmgcJWZxrBJN3TFzGBmjlH9NK9atQo+nw+PP/64Gcg0ySlKhiMHxVnsNoOZSfSUJajMUYWFYplZamWm/L7kHLxrOsjVNnLVarTiyx4NAQHaXG2QedyEwPKmiPxGBWZNR3blqFxCqRjwM5pTuMzOJRftHIAHp1WiUmGppNafpPaaGCKYKeEQy6xaLEUyn3fSUC9+vIcxqzu1MrOF4Hmudlmo81qMF4jBTJ+NI8qaKg2erWyN4u/fduOnH7djeXMUP7TH8L9NQSxpjKAlxOONLSGcv6iNeX9KZW5LBVJltx5VlcUiM2vUFB6vPXFvDDDUFiVmJaA+iPMCi7ObJsln3o/eBWlNH+WBAf/ZRf2u1Pr1UQm1iC3dcazvlFedMNGPTBsuF24scVmyX40dk6rTne6H9nFgeEV63ctQSk/ffMvMZvZY1COJuzEPlZk0RRUpSEplrIFth5XTLcElITNL/nsoLlBt2u4ozxRo6ooKeHNLSM0p9ipYp/ovm8I48H+NGPCf3Zj62p68KYMVLJhpkHUmSb7bRD9UBzN5nseIESPgdrv1PB8TkyyU9BOiyl8o8FIU69BD7JmZERLW06FUlqMMH8Uys7SemUyVmeonPrnv0gw3LTKztKC0QeZxEwJ7ctCXQ2+kkkPkDETRcDOa/XbJaC/WndOAV4+twbpzGnDRqOx+oHJokZkF1GctGyERR+q+9waZ2czfTXKWiJuxjrtRft+8kdlXUsTC0ReCMYHsFPHZOWLWtppF3u+/6qImli3dE8GOHjZHZ29ti0OU/dW42A/FyD2ICkWxycyKyi20hMij+5sSiyTM4Jk+7PbHcdGiVgx5brfstt2UtYNZKdu7oAUP5Mw0qfnn80bpZMuWUC+dvDVQbldvv2euo0hS9VoQj8FxHN44vhaXjfHikDoHrhrnxQuzarK2H+wzTjAz87nXw++RD5lZNZWZUrD2CLVx+s3RUZ4+3gRiAvVYXRF2e/WxH6RbcJjsg+URCMYEnPF+a7LX8ZqOGM78oEWXHrM04jKSxLnEaGsik9yhWmZ2zJgx2LNnj57nYmIiiV49M5U4hC2cusq2kRW2gmYukuRfsmVm83AyGlHa35RmPLE8Q2r7ggHyzlm5LDW10ByDRnUamiQoBmeTlDS3nONdzG0wWjCzzM6hxmXFUf3VS9ZoXaerrcz0GKBcSOq+51pm1mUtvFxeZhWh3Fyi5LX2R3k4rVa0EhyEMV5AnJJatcMfJ1Y5+uwWovRoru7b1y1RHNcg/6yySmOVGqTXWO1cwAsCbl3eiSd/9Gs4q9xQbDKzZXZ63zAAOHWIG3EB+HhXOF+nVTSYjiN9+NM33czb0oKZxRBcDsR4fN4YQSguYHpfJ8pz1LKkN6BlSleyBD3xnRZMrDYl81hYc3YDNnbFcGCtA9cu7cDzEhKucmQmUJKk6rVgSTlGldOCew+tpG5PU4rJdzunzGFOj2GvU6EqmBr0qsxkfe/tFnrLCiVEZAJUIRmZ2Y4Ie5dHc0aQh+brEwQBHMdhwbZglk91d4DHkj0RTM9hH+RCqjfpdeQqJ4f2sPq99YZ2PIVG9ThxySWXYMeOHfjkk0/0PB8TkyyUDAPUnpkKHMJq7bEHp1Wq+6JOkH5+5jXkdfQo5coxqbQykxYwZAnssVRHZE5KvCBgW09M1kikGX5aKjNpc6RRnYbFwCe7Qjh/YStmv9uC/21SvgBloVBN0ZUgNZ7KvZaiM9iSg/p2j43DIJ8V5Q4OF43yYM9F/fDBSXX48yEV+McRVRhWRg5UlungKOvdPTOzPwvo0eyPQq6q/pWQ+btJQ72oIKHkrRYlxknvVJSnB7r+8HUX0UHmtXPEOVFLAg0NVlMgx4+NYSFVdkvd/+4oj2fX+XH/6m780C4tB/X8hgAe+96vKRErVxBlZg067Q3yJeYO2lDrsXH46Wjpiv4Gd+HHqkJSDMlZvQmj34+WUBzHvN2MMz5oxQWL2nDYG03Y0m1KmKpFi3S7lFIDLe/u2zzJExYzV4z1osFjxWENTrhtHNQuPzK/xqoO89SMKpwy2MV2DBXLC9JXtFRmltuVX6dMW7JYWhh0KAyOkBJXWG1pu0W/HoKJYCalMjMuUHtq+hX4vMz2vPKwtJt6b4e0XO+yPblNzDO6HULCbeXQenE/bL+gL16aVatpX72hHU+hUV2Zef755+OLL77ApZdeinvuuQdnnHGGnudlYpJESayM5vtUYmSprSoqtM+Z9PNzWZmpZ//NVJT2zKRlhsudIy8ITBluu/zxZP+IJY1hXPJxG5pkmsXzgkCV9evW4ImkV2aq3m2vZumeME5/vzX5PHy6Owy7hcOcIdmS6h1hHm4bp2oBVwwGjpQsqlx/N3sOZWZ/NsaLOyeXQ8C+bOKD6x04uN4BADhrmBs1z0j3ByrTIPUkolVmVq1DwxjBzOz7nuuqyTI7h+YCt0zJXJSTxlw1b7Pcoj7KC7LOis3d0jdBEMgBJaWOFFYECGAR6S8Wh5PekKoqMhf8XREeJyxoxvftCef+n1d04T9HV+P4gelz0L2r2Ku48g1pnjDqrT9/ZCJISZOZdVk5HN7XiUoHh44U+/TQPg7YOKAxaPw+2LnCoLe11yLV49pI/PNHf3J8A4DtPXE8sLobfznIbF2kBi25kVJ2gtGUVYqJfh4LrhjnS/uMNq/QyLQZWBIqKxwcTh/mwae72QIVapYl/TxW7JSQY9WSf7jpvL6I8sDD33Xjz4wV6pn2uJGX1bwgwMJxEARBcWUmKQGRtZjAqmNlZjROb1WRqMwk/71HQTZj704RY4N2WyO8AJuF09VAC8UEfNEURoxP2L5ewku/rSeGpwyoGsMCDwFWC4cyC4dyh7bJsDe04yk0qoOZp5xyCgCgq6sLl19+Oa6//noMHz4cHo9HcnuO4/Dmm2+qPZxJL4bV+TGm0gYPxdJTYksmnNbKByC1MoJ6QazMzGEwsy5HGeldCqtHtPUMYTvGjr3BzEhcwLkLW5kCrnGBXpmZ2cBeCTSb0MhGvZF5cUMg63m546tOzB7sSso4d0Z4XPpxGxbuDMNt4/DLCT7cvH8ZUeZZimLIWJOUmZUNZib+yzIUWjng5WNqcNr7rUznM8hnBcdxxHCJlXJQPar8tA7vNIfGz8f78Oj30v1BjNAzU0q2LpjrykyHBUBhvbKslZlqBAp6ogL8lMkhLqiXC4wJAjFoqNSRwgpzZabxh76cQOp3lZkx/8qmYJqjPyYAf1nZnRXM3EIIZBsB0jxhtGDm+CobrptUhtl7k5Vo04THxqHCYcEbx9fid192Ym1HDNMaHLj/0Epc8Wl7ns7YxEQeo9uXf1mZHax4Zl3ADGbupTkYx9aeOCZV25kCYVpMMakqKjOIoJzBPit+M6kMJwx0oY8nPROUphpGI1PhhiWvUbTDbIzHVHNqfb0WyWAmqf87CzYLB5tFWdJoMbVQ6o4KqHBw6I4Kis+T5Gtife+jcf36qkdkkiyDcboMrRI1sl2BOB76thv+mIDzR3gwuEx12KJk4SkLr0gc8Oh4yVpCccx+twU/7F2fjCi34Y3ja9Hfmz7erWyJYPZ7LYqLUoxC6vOtVf7elJnNPaof8cWLF6f9u7OzEytWrCBur8TJa2KSisAQVLRywC0HlFONMiXDkVqndS76GbBwz5QKAOSaiMzJTs9+iheN8uJfa/WX4lQqM0tz+kr93v+u9+OJH/2IxgXMGcq2gN7pjwFw4oMdIeZJOiojyaFGZlbUwac5Bs2emdIIgoBNXXFs6Ynh4DpHlqGyvDm7umJzdxxfNkUwpU+it8Btyzvx4c5E1msgJuAvK7sxqdqOkwanP0diJqYUxWDgZDpRBEF+QcRSmVnjtKDBY8HNB5TjoDoH8/lMqlHfq6dCY3YdoK1n5g37lRGDGWcOc+NPh1SQg5kGqMyUWpzmOuNQj2parWQGZUhjrhoXjj/GYw+lsj/KC+qDmTy5MrMzR8FM1r3KVXeXKqTxI/Me/2ZpR9Y237REk/N+MUDq10pzvBSCz+bUp83RtIREsVXFfjUOvH1CXdrfCp3IaGKSCuu8EYwJeGNLEJu6YziqnxNT++Suf5aJPIIg4J6V3clgb43TgleOrcH+tXQ7WYvagdR8XCTTjKG4br8yXDRKWobcQe6AQcWS4VMirSdTEW8n65SkRnHm2AEufNWcLTc8RIdgk5J1VmZQzWj2RSqdER4VDouqZEJiZSbjex/mBf0qM3l65WUwRl+3KJGZ7YgIuP2rLgDA/au68deplfjpGOl3rLdCu63nLmzF68fVEr3oStcT//i+JxnIBIANXTE89G3ivqRy3+ruog1kAunXVKvvqBh8fcWO6lnn0Ucf1fM8TEyIsMzVn8yux4RqO9VJpiTQqNaQlzMK1dV70hlSZsVpe4NxJEM385h6Za/N6u/EfhoCDDRC8cSCnFXCk2YfZj4WC7YF8fPFHcl//8AoabLDn/DQrWhhlxOL8vTKTDX9y3ghYfDTDNle6i+mwgsCbvyiE0+uSUhflNs5/O/YGhxSv8+Bk1oRk8oLGwPJYOa8ddnB+3nrA8lg5sbOGH6+uB1ft0QwvsqORw6vwoTq9PfE6JnzQLaDlsUmS1ZmElIr7plSgSvGepNGtJLeoeOr1I81elRmsmY6A0BfjwW7A4l3e1K1HT8f78PTa9VJrkhVyOYbqX4ruTbSjdAzM3OMJQYzVVZmfiWRPCEi1zOTBi2JptCVmbmSpjc6JOEQ1oz5mAAYIL7PBMnZZbRpL9NmpgUlaRXyWnqFFQO5WLuY5A6WeSMcF3DmBy1Y3JiYg/66shsPHFqJS0xnccFY1RpNq1ptDfP4+eJ2LDm1D/V7WkwxqSUoS9DMJJ0KSgWPQ3VlZjosMrPio8CaA6nm1C4Z7cW9q7rTnh2vjcPBCpJTU7n/0Mrk/1cylRaTzOzHu8K4aJQNHSqqV7tJlZmMv/ez3WGMrtDHVxfhyclqQGLuoQU7/SrLyGMCcO3SDnjtHM4eLq0C2RuhrT2X7ongxY36FZvctzo74fqJH/1Zwcy3tha4P4xGGlIUB91WDjZO/RwbMPKgVCKoDmaed955ep6HiQkRlmlPDBTQ7DySc10KtX4J2vdmD3bh74dV4cZlHXhpY1DdATK4a3I5zhruQb07kfZHMkozJzs9ktfunVqBC0d6YeE4WLncGJFdER51braURlogO/PcnlqjLqjwdUsUf/y6S3JCJyEXrFFTmRkXACtkGn/3Uocxjc/3RJKBTADoigq4dmknFs+pT342ttKGHzuyA5oL91ZikjI/39seSv597vst2NaTsPZXtkZx6nst+OGshrRKx2LI1spcKEoFtDIRf2NmRrGI3ZKeDagkY5nUm4GFsjxVZta7LXjksCoc0deJr5oj4DhgSr2D6iSXu6pq++3oidTiNNd9X7X2qtCDzOxSYs9MFZdihz+Om5d1Ev8e49VLQyWSaKRPSi+5qUxYL0HvrcyUfp7DKdejh5LcFIoLRVMBSIqXs5glHhtXsD4ztCmGViGvtvJGD64c58X//ZCb3kRbzuuLb9uiGFtlw7buOOa814JuFTarSX5hqcz8bHc4GcgUuXtlFy4e7TGDWQXiEQl1ju/bY9gTiGdJl6aipTLzi6YIrvqsHTfvX5aUcTTvvnJoFTxqk10yv0ZSd0lFfBRyKTNb57bi3qmVuG5pB+IC4LAA/ze9StXvrHJyOHGQa9/5KDihTDPByHGDXy3pwKRqO7pUzJ+dGiszv2+PSSp+qCESp6uNBWL6ycxK8ch3PTkJZvKCgPnbQljdGsVBdXYcN8BVFEoocipsf13ZjUP7SCcZGP/XFYabDyhP/n+O41DusKiW0C4GX1+xU/i0dxMTGeSchBeP2jep0eYdJZWZpMDnlHp61hnNBnPZOFQ6LfjTwRWa5ApFfjnBh19OLEtb4LAGM7VKkI6usOGysb6k7JbarEM5lMgUUPtHZlwAMTCllPe2h/C31WxVnCJyDn+1wUyAnilkdJlZQRDw3/V+XPlpG+5b1Y12Db02WLl/Vfa9+64tipbQPu8+yUZvDSXOT+6ZXN0aTQYyRVpCPN7Znp6pFjJuu7MkmY8uSxGxOLaRhtvMxbiF46CxJQETelT50cbtL+bWY/05DVhzdgOOHeiC28bhiL5OHN7gTAYg1I6SWk59cp0dzx5VrX4He5HqK6yiqFwR5QaozPyiKYKbvuhIJjEQe2aq2Perm+hJTTE+PdClhLhAdyjkgtRrkznnpmKu7dIRAw87emI4+q1m4nYsySRGgeTsYnmch5SpiwxWO7WPF9TKTEowU21PND24Z0ol+lMCHVqodFpwRF8nal1WHFjnwKJT6uS/pCODfQWMEhcx724Pyaq+3PF1V9ZnTUEeGzql1UlMcs/bW6VtAjlpeK1z6vMbAjh+QXMymaZIcmYMBa0yU60pm5lUwOI7ElszsfqZ1N7rn4z2Ys3ZDXj7hFpsOLcvThmsvN/tGcPcmH9CHRpS5i8l/jE+s6e9wRPlXtoUQEtQ+eK/m/D+F8IklJOZDcQEqq3q1zhYretMtFzQm2s+78CFi9pw76punPNhGzXR1EjIFS7s8MeJ61Njvy2FodzBJdUORbRIzZrBzNyjm6coFoth06ZNWLVqFTZt2oRYzDSGTfSBZpsM8CYarovQhhslDzsp8Hn9fmV4/6Ra8vdowcy9f6xzW/G3qZWaFwtSxyL2zMz4t1YDKDP7Llc+5xuXdaCJ0fCLUYybQvoA39xCd1h/slt5YDWWdKwb8zezcPtXXfj54g68sDGIu1Z04dT3WhRJjqrho13S1zq1hwNJnks03uUkGj8mHOO1zenPQTHIzGaeIku2v7gJaXyTkkliyea9apw26TM9+i/SkjZsXGJsV1PRIL7GF4yUzjbV4iivcVlVORkykVq85jq4okc1rR48/qMf/1mfkOohBzOVX4tVbXS58qiGPjdRniz1mStSA1i0aVtLFUkxQ5qvxXH1yTV+rKUEEoohAUZkQ2cMp7/fgmHP7cbp77dgS3fid7H0tBqqsO/WzH5OnD7UjTeOJ9vmrFArMw0sM5uLytBxldn3YWSFHcf0z09fxX/NrMKqMxtw2VhT9lQpazpimPRyI1ZSWmJs6ZIea+TMcH+Ux3dt0V47jucStQlIetyL3QEeH+xIJF0WPo2s+KAl3+lVmcmSlJ+szGRci2ipwq5zW3F4gxPlKjJSJ9fZ8eSMaozLaB+iqGdmEcnMAsAzawNYuoe9TZEISQ2hEConEZ5ePJCozKQEMzVWZobjiV6aerK1O5bVPuiJH/1pie5GheWZJ5ndmT6dxY1hnLCgGZNebsSNX3Qw994udoaWWZPriM9m12eNZ2rGN5FCqcz0JjTbKytWrMC5556LQYMGYfLkyTjyyCMxefJkDBo0COeffz6++eYbPc7TpBdDmjOfPaoaS06tT2s4TpMEUOIPJr0YFg5wU5oW0IzC1L5nl4zxYu3ZDXhTg/NFMpjJXJmp+rAAAGeG40RJLzklLNwZxlFvNTMFNKmVmQWcS37/VXb2s1bETCxaRpaR/QyhmJAm9wokesV8vkddxaxWUi8VKXgQ5RPVpHL9LnyEoFmmfGAxBDP5jIeIJTgiLmLIwczsP8hVdnttHK5NSVpRg4e1gQyFeorkNcsYKLfF5RJO29OGumG1cDiynzoHsksnJ7dU4DLXC2mfASozRf66t48VKRij5lLIyb1GBbYEAilaQjyWNCp3mmgh9RmhLeB669qOdCvFe/ypTGKTURwLb59QKxnoSmVlaxQLd4bRFuaxcGcYc95tAS8ITO/JsHL2YObcIW68flwtnppZjYnV2ntCqa3MLKTMLJCbYOplY32Sn+fK3s/Es3etZYSe0cVIe1jATZTqEtJwQjOV5q3zY8hzu3H4G00Y9UIjvmwqjM1eqpDuiZzCj15Tw+1716tFoK5oOCqc+ie7ZA61SmRmWdXICmVlk9Z9JDl+KTKfeyn7oszO6aKGpgf+mIB/qmhz1EVIolbZflITUbmemFGe2GYAUN8zM5XdAX2DjJn+KCDhF3pzi/F7P7KosL2yWbqoItUPtbkrhtPea8HSPRFs64njiR/9uPGLDr1O09D8emJZch0xWCKZslxDMrxZmZl7NM1hzzzzDI477ji89957CAaDEAQh+b9gMIgFCxbg2GOPxbx58/Q6X5NeiJScwPS+Tpwy2E2V9chESfYZyZiyIOFYJx+DvM+qDAmsOrcV0/s6qfujYZU4GOk3Zl5DrQufzB5uWnzOcj9/hz+OtwjSO6nQMlNZqgGKCfH30KpRjfyblzWFJZ3df1mpTMJXKaQhIL2iiHzdfre8E40ygXVSX8dMOeFcV6HSOHmQC88eVY2nZlRhgJfshc1ccrBkjYvbkMYiqfc9Mzkik3/NrGbunUtCj94XfT00GSmGYCZhE/FJmFTjwD+nV2GgzwqnFThpkAsPTqsEAPzh4ApUUZwlJPRyBEstTmWKlDVht+hTTasXO/yJ9540zeRiuH1ufUBWXs5IpOZ5UIOZxfOTdIX0u8VbvKIlSv2+UYKZ/TxWfDy7HpeN8aLezWb8be2JY3lThCmYOUJBMJOUPMTCLIkKQ9WVmQXWZdSz1cPcIW78a2YVLhkjXRGZrxwTMXhc6KrXYmZZU4Q4bpDWD6RXdKc/jl8t6UjaeG1hHj/9uD0nkn8m6citF/RKLBOrpoqhV1whoEmg0yoz1Y7PWcFMlsrMvf9lHTaVtGBi4RfjpZNgMiGN60ouVabfRyqwM7rShnlHamu18cqxNbiekFA7q78Txw3IrVoBqTKzEG6ECE/3BfjlZGZ16LndqHMwc1uPtEqBnFS7EdAy/abOK/9Z789a07+2JWhoX6JeyI05SmINmQQMsm4rZVTfnVWrVuG6665DLBbD1KlT8dxzz2HlypVobGzEypUr8dxzz+HQQw9FLBbDtddei1WrVul53ia9CKlxVI1dqGQ9bCG8GRaOXuFDO8YxA1ySn6t1Nkt9jfRCZ07HmRVXSsl03LA48qXYr8aOLef3xT+nV1G3e3+7fHYUvX+k0jMzNuJvpVVmGvk3kwKGmdWLekN6SlMrpGgO48e+9+PcD9uoxyDZPD0ZD6hcpnUuqXFZcMpgN04f5qEG6DJPUVFlJuHvUlUdNGfl/46pwbEDpcfOfNOPEvjVUviZOsedOdyDb89swI4L+uG/R9ck5U0mVtvxzekNivctzi8XEiRsWZG697mszLRxnC59TvVGz56Zcuzwx/FGEWQGi0QZKzMLIY1lBEjBA9YqfaMEM312Dg4rh3sPrcS6c/pifBVb8PGtrSHZYGady4KRFezBTC9jMFMq6Hrj/tnOSZotK5VAKJKZ4KeVOpcFJw5in/f0SloZVmbFv46sxtyh5PlCrb2vFDHR06zM1MZBr+zBuo7sRAnScEIyw+ety65e2eGPY2UrPQkjE1rw0+g97wqF3ByhV4KQOMcYz/IyBofUOYh/o80Ban3hanpmnr633xtrBb3e9/pnY73UdaUI6XopmV5YVMesHIeTBruJwUgWjurnxK0HlePfM9ODok4rcMsB5XjwMLoPSyukoFohxssIT5eRDcTolZukwKwS9K7MJAVY1Rab5BMty4LUeeW+1T1Zf++KCL2islBuXNUiM9sbrl+hUX13HnnkEcTjcfziF7/AggULcMIJJ2Dw4MFwOp0YPHgwTjjhBCxYsAC//OUvEY/H8eijj+p53ia9CKkpXM30oofMLMdxVKmpOpdVUtbvhIEuHFQrLYFF219/D9l5LlU9mj+ZWX0qMzkkpASPG+iiTiZyFQsAvTLTID5A3RB/T7EGcCMEO1RvhyArYhYhLwiy0o+kyyq+96RCqiyZ2QIaOKlZwjRHYeZCicWZHktWZkr/XboyU12CSL7pRxmPWcZAJT9FymFc6VQ+0Ir39/JxbNnSJKRlZrO30yv+aLTKTBGS80AQ6E7a3kA45drQslGNPDflEpKJwtp7NtXxUMhnLdPBwzpvO6zykli/muBTFCxjdTY9fkRVmj19w35lOFjCMa12/NKzevCS0R6sP7cvnju6hvk7esnc/nqivMOXpTpIDzzJysz8HK9U2eGP48wPWrPGDNJ4RHJUi/0UM9lM6L1JgmZj6+DnLgqU9riUS37UaznRExNw9zddyR7HJumobVehdm2b+TWWAOVVe2191lPVOzdlSJkNi06px9+mVuDPh1QQA5uk5Yyynpnp/5Z6TcTf16My4m+37KtUPnWoG/89qhqzB7tw1rCExP1BdQ7VwWpWjFSZGeXpwcooT+/vrscpNwb0TXz3Ey6kHu1pco1ewUwSRSQOpBo5aetyhxaZ2V5wAQuM6uH3888/R0VFBX7/+99Tt7vttttQXl6OJUuWqD2USS9Hv8pM9i/R9k9znrhsHM4clp7R3Ndjwf3TKomyLaTJssLB4fuzGzC9r7R8hdTXSC905jXUP5ipTUKl3GHB1D7kjMfJlGxIEXrPzNJaIYsOdZr8g5EdxiRniZ5SaVIQKzP3no+WPpZifyeSYzoz86+QlZmpC2taMkXmKbIUzoqLHNJwKyVpRLvvSuTBAeCaidlBu0tGa6tKFOlLq8xkeHZJ11qLVKLImcPckp+LwcyJ1XbcO7VCdnFG+rO0zGz2M0zb/5R6+XFcxGoBynLtIVAB6RUQIN8Ds9RJHfuCFF9or63MJPzucFxgShRJfb4KlQvT12PJesdZ5227haNWZta5LLh0rFdRsIwk657JuCo7Vp/ZB5/OrsOmcxvwuwPLJW1ytbasXkkcRzQ4cOP+5cl/s8rX6RFMPXWIG+eOkJ8r8+XgE+dLmrxvvjHOmShja08cq/ZWUK5ojuD6pR3EbUnjM+nVVWqj0ezsUp8b1nVEcdRbTegzbxemv9GE1a1sfa1DMrFFpcFRGn9Z2Y2u3hJVVgjrfJOJ2vE58y7I7eYPk8tx4F5/CetUpsQ3xkpfjxU/G+vD1eN9GE6QjSddE2U9MzNlZqX2l/ivWnnTTJvgpMFuzDuqBk/MqMahfRLzc64TsVtDPN7aGsTtyzvx0sZA8n0vxHgZibP5AnIJq8xsMCbgh/ao7PhIejaKQRVCi3+TpWqQZW1S7IoKcrdZk8ysWZmZc9i1fDJobm7GxIkTYbdLV5uJ2O12jBgxAt99953aQ5n0cqTmTDXDiqLKTMK2giDIOq3vn1aJQT4rPt4dxtAyG27cvwx9KRU9JAe32OidZDtLysySzjvj31o10DOzwNU6clLP9/iBLixplF7Y0QIuIrT+kaWWGCPOjcUawCVlehVKVVJ0wmsJRogOPlLGYmbmn5bAqVZS7TJqZWamzKyiykzp/Uo9lrTKC6lKdxpXjPPhra1BbOxK3MwBXit+NUG9vFAqtHGcxQE/d6gbN37RmTUeX6mxahIgG9upz+NlY324eJQXzSEem7tjOPmdlqztrRYgJvEeSN17qc88Ng6dkezPB/us+MUEH5Ytoss0i9g4DuVGrMwkvAK8UNh32gikjutmz8xsSJckHAe6GNKfw3EBvCDgke968OLGgM5nx8Ylo71ZQUDWedth4Yjvj90CPD2zGh6bRVFlho8xsGazJGRiJ9XQEyrUBjO19Mwss3NYfWYDuiI8Bvmsadf3zoMrsLK1BXuC9OdDbSLYmrMb0BziUWbnMKSMzSWQL/lvrwF7Zk6stmN1mzJZVaNw6SdtuP/QSpz9YSu1cobkqCb5K1ljD8GYgBu/6MCz68ljVylXgfCCgNPeb032317dFsXc91rx49kNssEQ2crMEr5uRoJV1jwTtb7wzGAVLdB37AAnfpVSWc8qM5vr9qik8Zv0zCuqzMx47qWCKuI1O3agizr2kGBZ2+U6ETsuABemrJ3mbwvi3zOrC/LeR3khraVEIWCRmX1xUwg3ftWKcByodlrw/NHVmNJHOjnMT7iQxbCk03KOLIFKtvZC+vfezSemzGxxozqY6fP5sGfPHqZt9+zZA6/Xq/ZQJr0cqcCbGuNLyXdIBiPLpGG3cLhh/3LcsD/bsUhZzuLEQDJIpfr3kAIImddQc2WmTj0zU791wkAXblveJbmdkiCKFEWeNJSF+Htol8XIv7lglZkcJNPLRceOFqNDfPVIxmGmc7+QMrP2FMuNFszMHDdYskDFbUi7ldoFzVlZqzCa2ddjxUen1OOjXWHwgoCZ/VyoUiHPKgUtuMYyBta6rDhvpAf/TVlQH93fiXGMPeeo50aQQckMLDqsHPp7rdjWI53qbyW8JNI9M7O/P6rCjmAsgo6M4953aCVm9nNi7hA3XtsSJPyKfSRkZnOzOjq8wYHFhMQZGuG4AJ4wzwgQen0wM3XsM3tmZkPqcR3mBXQyePHP+rBV5zNSxn2HVuCno7PXcuyVmeQkqx/PbkiO9UoqMzyMzmXWfar1WWgJuPECUOW0SM5TYyrt+Pr0PviyKYJ3toXwzzXpfQvFinw1FQSXj/WiwWNFAyVJRwo9lARY8BiwZ+aEIg5mbuyKY8578mMIqYqFlB/JOu9d/0VHmu0jfWymXRma7iiPzxsjqHZacECtPbmGX9IYSQYyRVrDPBbtCuH4gdLKGiLieiEYE/DFnjDKHBbsX2PHV80R/HFFFzYolPo1UQcpeUZuClRbuZdpY9MCa5kJjYWSmc2EtDYiJQApuVSZQw+tMvPo/k6U2znFVcd2Btsh34nYb2wJYW1nrCBJ6xFeKLgceGOQHsxsiQDXfOlPrmTbwjx+8nEbfjirQVKRg1SZWQxxKC3LTjFJhuZjZfG/hnkBLh11Kzw2Lq8VjXLqEloSqwupwtZbUO1BmzRpEj799FMsWLAAJ554InG7+fPnY+fOnZgxY4baQ5n0cqTmapJkKw0lBhJp21yMSaSFuvgxySCV+phklOrdMzPznNVXZu7bz4gKO47q58SiXeGs7Vicn7TfZOQqRTWIv4dWjUpynBoBknFkz7HTiigzG9cuMyv+JppPWhCE5NhVSANnZ4pDRSopQiTzFFkqV6PJykzpv0tdHpojuMalfHApd1gwZwjdOaQG2rzD6jj4+7RKTKl34MumCCZW23HxqOxKJzWQKjNJQRLSJVciMys1LrttHK6bVIbbvtqXmDKrvxNH93eC4zg8PbMK17WXoTEQx0sbA3hpk3Rg02rhcuY0d1s5HNHgwGcKA5o9UZ44l4TiCSdmbyZ1XO/tPTP9UR7LmiIY4LViZIUNHMcR5+tIXECXRDWzkXj+6GqcMEh6TGWdt60WTjIBYkylLS1pRYnMrI9xY1YblbWaJRMtMnNy9qnPbsFR/V2Y1seJ3YE43t6W6F04otyGOydX7D2+smPeflC5pCQ7C/mqzHQbsDJzQjVdjaoUIFZmErb3RwUIgoC/f9eDf6/1w2bhcOkYb5riRJwXZAOZAFsViJFZ0xHFKe+0oDmUuFqz+jsx76hExfknEmtbAHh3WyKYSeuDHIwL2LJXTUMMiA4ts2Jzdy/Xts8zpMpMud7Naiv3M9fKtMNkzl2sCTy5Hs1JCUKkOYu2JpWCF4SkL0lqLhWnD4/NgpePqcHZH7ZmJVvSYJlbLRwHuyW/8qurW6MFkT2P8Ox93nOFXM/MNxptWSm5uwM8ljdHcEh9dnUmKXBWDImXWpT2RJ9XEyU4LPp9aOvb8xa24t8zq1HntmpW/gOALef1xeq2KGa93ax5XyzIDTmmzKyxUX13LrjgAgiCgMsvvxyPPPIIAoF0IzUQCODhhx/GFVdcAY7jcOGFF2o+WZPeiR4ysycMdCnKPiPZgLmY10gSqqIhSvLVSGXPkn5i5jXULjObfiS1DqDMbz10WKXkdizSQzSjo9Scp2L2Mu155HVps54biDKzMo+RHkaSFKIDRVMwk5fPcBOlZuO8UNCeE6k9qGgOlMznK8wwAIrjEmmMltoFqbLHxiV6BxcDrAFJq4XDRaO8eOTwKlwxzgeXwv5jl43Jroy6YKSHWH1K8gOTHB0kqRip51rqGXZYgF9OLMPrx9XgtgPL8cT0Krw4qyZ5fTiOw4RqO2YNcFED1XYOKMvRvXfZONQorWJgNQAAvIhJREFU1S8G0B0VqHPJwa82aTir4oddZta4c5MefNMSwbiXGnHa+6045LUmXPN5B+K8QEwwCsUFdBk8EE6r3mNd50fjgmSwItN+tClI7mjwsB2cta+f2jidluJ/1tfBZePw7FHV+Oq0enx4ch2Wza1Hv719nJUG/E4c5FKdRJOvykzxnrG0mcgH5Q4O43VQUTA6pIAiyVb0R3nMWxfA7V91YXN3HOs7Y7h5WSf+t2mfX4iW3JJKsVdm3r68MxnIBIAPd4bx6uZEwhZpTSY+55mtKFIJxQX8aUVXWmWnGcjMPx6CQ0YumKk2UTfTr0GbxzJPgVX2UWnwUCmkUyYFeJWeTuqYIVmZmbLDKX2c2HJ+PxzWQJebT4XVv5VrZalMQnFBl2DbkDIrThzkYt7eCC01GgNx6jpiWYe0vbqhU7qCvYcw9hq5KEBEyyMgqpI1UtoY7PDHcdI7zRj0n93EbZY0RnD73gRmPR4Nh5XLqyKH3KG09Ik3ZWZzj+rl1xlnnIHZs2fD7/fj97//PUaMGIGpU6di9uzZmDp1KkaMGIHbb78dfr8fs2fPxumnn67neZv0IqQGatoa/PKx2c7eX07wKZKuIsvM6j8oEWVmk5WZ0n+XGh9JPzHztDXLzGbYCWqNuMxMn4E+GyZKZD6zZOvS+0cqPjVDI/4emjFH+s3huIA/rujCCQua8esl7Uy9B/SGKDNLsCgaA3Gc9l4L+j27C0e80YSle6QznNWSrMzUYHRE9l5G2rPaFk48pIVeCMzsty8zkWarZ57mvSu7ZfctW5kpMYaSHLE1LosuVYulxGVjvahNCQJWOjhcOc6H4wZIi7xcNEpa4n+AV3qxd9FI6e2lnmupz8R3eGY/F67brwxnDfcQnSW0ecNm4dKC7nritnJp15CV7qhgaPnuQpP6PNBlZvNxNoXjN593pMk7P7MugMWNYeKcHIlny0EbjT5uSr9gxjE6zAuSdlpmAJHVCdvHbcHBdelOSalkD4A94KrWltVWmcm+LcdxGFFhx+Q6R9q4qrTyR8vQqqV/kBqMUpk5otyG4eWlH8xMHZ/9UR4f7gjhgx0hYrCtJybg/37oyfr8se/3fcYapCz2ysz3dmSvTW5Y2glAvudoD0W7MRAT8DJBxcIkf5B82nK9NNUmu2Qm/tKECDLlXFmDAbkezUluM9KcqfR8UudPmsxsKs8fXYOzh7vRlyEZijV3R6k6glbCcUGzDOqfD6nAN6f3wdR69uAuUPhqs5iANGntYEygJmbLQRqbi6EyU4s7SfR50fyAl3/ahiWNEdnyiOc2BNAd5TUHgPu4E+9kPs1MuTWHlsrMCF/6CbyFRtOj8vTTT+Omm26Cz+dDMBjE2rVr8dlnn2Ht2rUIBoPw+Xy4+eab8dRTT+l1via9EKkhgPbg3nVwBS4c6UG5g8OwMisePbwS0xqczA/7/YdWMsu16gHJYSsarUoqM/MlM5vp8FGbzd4RlnCGS+wryhBvo0uultZEIgbVqdK6BIPiyk/b8bdV3Vi6J4Jn1gVw/PxmpibgekKUmSU8RxcuasWiXWGE4sC3bVGc/n4r2kLKg7Akn6soo6FPZSZ5m7ZQ4YOZ/TwWHNV/XzCTZv+nJm+sao0w9Yo6b6QHAK1/b/ZnpEWgGonZXHPfIdnO8ml9lC0EtTCq0o5Fp9ThT4dU4A+Ty/Hx7HpMqLajjyc7u3ZImRWHN2RL6gBAH48Vh2QEAjgkgp9SY7DUcy31Hivpn0zLVrdZ1MnJs+C2cahW8WzRZGZN0ntm0lra0ObqYscf5bGyNXucvPPrLuLvZu2ZWUjq3OT3hVUWNkKoJMjsScWSBG23APdMqchKlPjJaG+W8/Ls4W7m6hMlErepaO2ZqRWlx1eS3JlJWZ4qM0V0anmtmREVNvTzWrOSOUsNcW25OxDHkW8144wPWnHmB63YQqgE9EcF/NiRXfGyomXfOMi6xijFRBexpQTpPRcf7x7Kj9eSaGmiH6TgBqliU0Rtsku2zCzdZk6lnFHZJM8FhUlIcxZrMpNIql0l1dNe6jDlDgsen16NH8/ui1n9pddIIqxrmkJUZmoNHM3sl2j/UalwkqUlXuSL79ui6InyuGBhKwb+ZxeGPb8bT/zQQw1qKl1TFsOwq2VNKvqi9lCCmUoSLZc3RTSvkf9wcAUAbQmCSpGzhyfV2FGpQSnK7JuZWzSlGFqtVtx888341a9+haVLl2L9+vXo6emBz+fDqFGjMHXqVHg8Hr3O1aSXIjUu0mwGp5XDw4dX4aHDKtMc6iwG0qgKG+YMceE/6/2Sf89Jz0wZmVmSISVlSxClHTP+rXWyycz4Uysz2y7hwJOawLRWZpZYLDNpwNKrUbN/dEeYxxtb07N7t/bE8dGuEGbW5c9wIPltpRY323piWN6c7hwOxAS8sSWESwhVGCRIv1CPnplRPlF1SJNibd9bmVko2YkLR3pw64HlaQtv2ruRejmW7mHrL/iT0Yl7cs1EH85d2Jb19+l9sxeOpAziWhVSoLnm1EFOPPNjF1Z3J87Na+Pw+4PK83oOg3w2/Hx8dr+zJ2dU455vurB0TwRjqmy4cb8yqoztkzOrcOGiNqxqjaLaacE9UyowvMIGp5XLGnOlxmAp35uSxBZasqMSqUkpPDaOmD3ssnKoVeEh747QZWblOGmQC/P39rsrRdhlZvNwMgWC5I9e0RIlVkOH4wK6ChzMPKTOAY4DljVJj/M0hx6r+ReOE8aMjMtCsyfnDnHj+EEuTKl3YEhZ9hJ2fLUdzxxZjT+t6MLOQBzHD3ThgWmVbCcIZckYqWhxZOphDSgNsGnxu+ZLZlZE7fpCb0aW22DhOFQ4LGiiyLIVO+I7+uh3PVhHkOVLxc8woLPa1qUYzBSRq8zspgQICq3mUirYOG0BClKSptyYqHZ+yHwfaH6szGAmazVRrmMGpMtNMsGVJtqkBvSke2bS9yf3+1kTnNTaDjVOC1rDyge+SByIWbWNC0PKEoZDpcLKMyMk333XFsWiXeFkD/H2sIAbl3VihE/ZepyWaFMMFXVaAto7/HE8vcafVuWqhaV7Iphcpz65e2Y/J+YMdgPIb3KA3BjgtHL43YHluGlZZ3IeP6DWjm9a5BP8AWBNewyT6+ym0liO0EUvxePx4Oijj8bRRx+tx+5MTNKQkiVkGQ8yjU6LTKvsv06pwGnD3KhxWWUlEi8b68U/f0wPeB7Zj57dRcJDGEVFo4zki5aqNiQNlJnXUOv8nBlwVFuBL+XwlDIImYKZtMpM49sjikjKzCrodwgAXzVHJD//44puzDwufwEZkoEode9XSVS5AMDTa/2Kg5kkxOdLa5Axyif6gpFQIjM70GdFuZ3D9+36GJm/P6gc104qy/qcdibibXp9cxA3L+uk7t9n4/CHgyuSMtEz+7kwwGtN6/Fz3AAn6iTkCkkSeWqkQHON187hsYlhbLL1QUfciqP7u9CfEKTIN24bhzv3ZjWyMMhnwyez69EWiqPSaUnOmYn3kCWYKVVZz26s07YVg6IWTt185baSg5keG4ehKuQCe6K8prlzVIUN6ypsWM/gIC5GUqsIemvPTPp4SqjMjAvoKnCm+91TKnBQnQOV/9qp+LuswaaEzKy8zUdzLBzax4Gzh9OTZE8e7MbJg90QBEGx80CtA6XQ1XpKs9i1+InK1EqxqMQgKrMYUZGYM3w2DqXcHfnKz9oxva8Tj3yfLR0rhZ9h7KL1kk+lGGT9SMjJHJJ7Zib+SwtmmpUd+xhaZlXVL3RUhQ0LT6nDRYva8NEuda1Kju7vRLZ1DNy0f/baKhW180Pm+0AbCzMVDsoZx2nWftJqIb0WJLtBaY/k1ACmdM9M+vflbATWuVXtPT66vxMvqZCQDsUFeHitSZ+Ji1OlMLmTNlbli+/bo2nV/yKPr1F2LWmB2WKozNQ6ZV67tEOX8wCAL/aEJROtWXn5mJrkeiCfss0sr/hlY304uM6B1W1RDPbZUOOy4PA32CzBY+Y3Y/lp9RhZkd1GzUQ7xvMUmphkIC0zq3wCt1Ce9uv3K8Pl43zJSqAZEtVDADDYl1jMnj/CkyYPywG4ZLS6wArJcBPnV2JlpsT8S3JQZBqTWie/TKNNbUaaFJIyswyZR72rZyZdtiixTfZnpPuU7yw7UjBP6lUgPVkstzTKC/hiTxgbO2NUR4OYmadVbjccF0BLsOzYe51pEowidk7figTSupb6DPECljSGccnH2RWWIpvP64u1Zzdg8/l98dOU4LLbxmHBibU4a7gbk6rtuHKcF0/PrJbcB2mxqXSBlS+cFuDY/g5cNMprmECmFqpd1jSHhtSiPFNmVhAEyQprJX5uusxs4m9Ke8GJ0BwiZQ4LRlYoD2Zq7ZlptXD4hYaFntFJHT9pCRsG8IPkDJrqBckxEuETqgmFROz5VSEhpVTlpL+DrL7HhMxs9ueZRS20eU+Jo1NNFrRSiTuRQvd1ZO2PJlJMMrMGKczEiL2OKF+eg7mFYPa7Lczb9jB4fFmHt2KuzJS7DESZ2b3PN01mNlDKkyYjv5zgQ/tP+uGbMxrw4qwaxd+/fKwXZXYLfiOR1MlKnTu7ncOIchsOI7RzEFErmZj5PdrcmLm+l5rLpShUsRDpuBOqlDn85Xpmys0fcn/PDBKTUJsINanGjhv2U/5MhuPSyWGsnDBw33OsVGbWCHzbFkVLKHvMfG8nuVpOKlmG5v8qhuQaI/k3v2qOqvajHdrHkTaG6elXloM1oWP/2oTfZ0Y/p+IkuxG9oN96oVA0ep100kmorq7Gfffdx7T9fffdh+rqasydO1fVyZmYANILADVjHO1hz9zfpWN8WUGU/h4rDqhNGFn71zrw9gm1uHCkB6cPdeOFWTWYPcSt/KSQqBKRQqzwIklcSE2ypN+YuaXePTP1lJ2SrMyUOWFBoMv/lVqfM3HRrFRmlpTpRFtE54IwIZgndRbEYKbMPd3YGcN+Lzfi+AUtOOjVPfj54g6iM0EM1GjNfo7y0j3BRMQ+Ex/skJeatFk4ZicxCyTDkFQtBCTGiafW+KmBYyuX6L8otf9BPhuemF6NT+fU454plfASnICkKq58O01NErBUx5Mcd8oqM8l/E+c9tdmZ1GCmncNAFUHobo09M20ccOEoD0apCKQWA6ljHy0/ptR6WKdCk3yizdetEk6ZfOLd+75cPCo7Ke+2A+nV3qyBsRChZ2amg5bmJFBataEXcofNp+NFCqWOVC2xVz2DeXKBciDR3ywXVCt04A7bK8nn7QV2iRLZOZbKTPaemenbtYbieGNLEJ/tDhvesSyntkuUmd27yqFVOxlB1lELfz6EXTGExM/GeJMJKkpVW/p5LDh/ZGJum97XiVsPLE8m7e1XY8ctB7AHk56cUY3rJ5VhWh8HLh3jxTsn1sqO/2oDXZdmqA/R5qHMRBzWcbNQMrMkKp0WPDG9irlkIfW9K6TMrNqA9bgqO3410YdLRntg5RK9Tvt75NcnobigunLQygE/n7AvsbJKQz/AQrE7oHxMlJqHaD0hi6ElhpH8m8G4gC3d+igPGUlmVgolpzfYZzUlZnMIs0fl888/x+eff44DDjgA1113HdN3rrvuOsyfPx+ffPIJvvzySxxyyCGqT9Sk9yK1AFAzJtAGq0xbpZ/XikcPr8RvlnYgHE9o2j9zVHXaYHRQnQMHadAGFyE5Z8Tee6RMPCkjhiyPm/5vvXtm9mEwvFiRcl7LLWLlDDojZS7pgegwpd1HqUuWWV0lwuKM0BNS0FDq55Dedbkzvu6LDuxKMXaf2xAgbitWEWntSxOO0502PVEBGzqj+MPXXbL7suWpMvPUIW68uVU6uMoDeHUzXbKFdaFHo5uwmMi3nJ1JAqlFRGZCCSnBhFZtyXIcEbFnpkNC8pYFN+U8yuwWWFW8W91RbT0zbRYOFo7D7QeV4/xF5GrnYiU1SYWWgJTr3Bk18qJ6oTapqomlXD+HiMHMmw8ow9rOGN7bHoKFAy4Y6cGFo+iyrqzVjJG4tHMoc5inzSm091oPSGOSmMhIotAys0orQ7UEhvRKMnpiehXOGu7BnHdb8MnudNnHq8btc+IP9lkx2GfF1h793pGFJ9fhoDoH3toaxIUMY/HwcmsyGctMskqHpWcmazAzNWa3siWC099vTfaTO6LBgRePqUnr+W4k5N4p0iUQ5wVaUmmxBzPHK6y2kyI1YKgkmDmu0ob7plWm+Vqu368MV4/3oj0sJNVVTh7kxhdNYfTzWHHuQvKY4LZxuPUgZW1Z1ORjTO/rxNjKdDctLTCXGVD12TlJSdxMch0zIB2fdtizhnvgtXG4+ctObO+Jw2kFxlbasVKi7UyqXSX1CspNjbKVmYwXSM09tnHAgbUOlNkteGBaFe4/tBIcx+GpNT24bmkn9btqKjMvHuWBgESQfL+aff7LYqzMpEHyCYYk/kBTRTFSoJCE0XJ89LLTcpTDJomaMVCJyX3cQJf8RiaqYQ5mvvLKK+A4Dr/5zW8UHeC6667DBRdcgJdfftkMZpqoQlpmVjm0MnKpP5030ou5Qz3Y3B3D6AqbKucnCyR5qOje+YDcMzP7M9IZZgUzNa6LMjPQGiT64Knet2RVEP07cmvpUqsEEavpaEFcqYUzqfdovtfJUgYlIG04kgKwciu0jxX0RBETB0IabbAILy29KeKP8bLBQRGrhdM1Y5a0IDt+kAvldk6yZxvLe6NFrk6E5MQxnYaFQSqhJPO5JvndFMnMUrYV/6ZWvpGkeADse658No5JIk+kR2swc+8pFaq6TA1OK7mSPpPU+YUmK0jr9ayF9jCPaz5vx6KdYQz0WXHn5AocMyC/i0ia84OWAd5c4MpMsdrOY7PgxVk1aA7G4bJxTAklrI9zmBcQlbg+mXOTjTKn5Prd6ee1SvZku/VAuvM6n1nkksdXaIJXa+hHbbVw8No4+DU2lBJv5c/GevHp7nDSpPPZuGQVFZCQC/7zIRX4ycdtuiVCiGsYVhvj0jH7qlh6g8ysEvTsmZnqnL9rRVcykAkAnzVG8L9NQVwkUT1uBOQCC6RkSXGN00O5jh0qFmmjK2xYa5D+3Gpk/TNJfe1Yg5nfnN4Hg8uskv4fj80CT8ppja+2Y3y1XVb1Rw1Kk6v+MLkcPxvrzfoeLXEoc1iycBzKHRzV7gDUtW3KBycNduPYgS5s7oqhv9eK/6wPYGVrdoBPTmZWbgkht4ZlHe7VqDNcOMqTFkgU7zfLHKO0MtNt5fDQYVWSf/PaOEW2vtHZGZK+flJjME2FoBhkz41WrLFVpjKzgjAmZb49VgsHC5efYK0aPxbrd6wccHUJt5cxAswW+bJly+ByuXDMMccoOsCsWbPgcrmwbNkyxSdnYgIUpjJTxG3jMK7KnrNAJkB2uoqOwXNHSGfFXzw6+3NSwDZTSlLr5JeZhd7Hrd/inkXiMBM556jRJnutiAYsTzG0pC6Z1p6QaljVGsENX3TgV0vasbgxEWAkLeqlPlYj/ap0MSo6WkhBViX7oTlteqIC/rOeXCGais2ib8YsyQfssVnw2nG1kn9jMSL18C2T5LXK8pmaZ5JEyjGfWXVAqkJQJDNLmZTFOVftI0ALeojyWwN9yiIAWmVmrRoDtIWgQsENSB37aONgrqSbfrG4HW9sCaE7KuCH9hguWNSKzQrkEvVA7RTbHCyc1+TYAc6sd7HObWWujGdd1EeIMrP0f6eSj0SAPx1SkebAnDPEJdsTTcs7rYejn9YzM/OSHTfQpbm6TY/WEuIYf8pgN/53bA3OHu7GpWO8mH9iLSZUp1dynTTYjeWn9cHDh1VqPi6Q6HsNsDmNzxjmTqsU1bOtRinAkhDEqnoixuwEQcDCndkJiQ+u7lZ0bvmE5viO8QJxfSFeG7rMrPKJZXK9duUovejr0W7Lp/oGSC0rMqlyWpj7oYkUWg7wielV+NXEMskxmjb9SSn5sEjNqu0TnQ/sFg6jKu3w2i1EH15qcr4amVm9KjOV2gAWDvjDwdLyyz4GOyccV1aYQDs9juMwrQ/dxikm2qLSPzZzHhIEAS9vJPtktPQkzRdGqx7dJlOZqaSqPl8uoFzKzP5ivA9DykqztYxRYL6627Ztw6BBg+ByKctydjqdGDx4MLZu3ar45ExMAOmebmpMTdrAU0jjleScERd1IytsmFrvwBdNkeTfJlbbMbE6W7aFRZJTEAQVon3pODMuZoNKmdnLx2Zn2EpNXlGZbDHZykxjzfWaiScrM8k/TLrKUfmFaArG8XVzBGOr7Ion5JUtEZz0Tksyg/+59QG8MKtGUTCT5ACg/RKl9qcY5NXaMzPC0wPG/qjALOk7vNymW+8BgB44OqjOgXq3BU0ZDnWWy6FHwHV6P2fa+CYyvLzA2n29FKmAZOZzTSoUUFaZSZHM2vsntX1oaM59sRrnlCFu/LiS3TnaExU0VUuLFWe5lsrUk0pH9rhAIvWZoBWS5CKY2RqKY/62dLnscBz4cGcIl5XnLytWre+jlVbKmgPEavxpfRx49HDpbH1WWONi4bggactljgM053M+3p0TByUCZ5/tDmNImQ2H9nHISr5rCWberlCyUApaEskLs2pw6/JObOuJ48h+Ts33G0hIde/RGIBPXfoc3d+Fo/vT/QtDymwYUmbDL5d0aDousG9e8TI4je/bK/0nwvKd3gTNphUlv1kLC2M8AAvgJ5i+m7qNWzpEi+n6YwKxN7yYrNtNuUg0KUQSNHWKfKOHj0Vp/sWwMisqirAXILUvJuU6Sn2vwmHBdtDfmVzHC0huCqV3hvTbU30dUralrMyszHFZ1zRKAy93H1JBTBhjrcxUIhcvF7S+Z0oFprzWxLy/YiRTfWtZUwRft2RLF4sUQ89Mo8Vb5WRmq5wWQGJMknq9HRZOc/snFvSWmT1rmBtjq+w4qM6B6X1LJ0nAqDB7poPBIHw+dQ4Bn8+HYJBNWs/EJBNJmVkVhjHtK4VUiJJbcHAchxePqcGfVnThm5YI9qtx4JYDyiSvAUvPTD3mhUzHjZrKTJdVuupUqueabGWmyl4lxcq+npmUbaQqMymGmVQ14xtbgvjZJ/ukvX57QBlu3J/d8faf9YE0KbKYAPxzjZ8czJS4jwFSf03KcZXeb9GHoLVylVR5ItIT5TGiwoZWicBdJr+c4MNVn7ZrOp9U5LJLpQwzucth5fRxUpw9zIO/ZgSVBnitmKxDT2IT5bDJzOpQmUmZNmzJykz9ZWbFbPWfjfHigdXdzFJC3RFeU7Ww6IxzGcjJKIcSZ2Dq+Embs1llZrsiPHYF4mhwW2V7+kj1UgKAp9f4cdnY/AUzjZYlTWLL+X3RFRF06ZVEk4VNJcKDIDPLfqx8STSLgTNW1A4Ls/rZdZFCpgVTZw1wYdYAF3hBULV2kkKP6kQ9e4IrRZxXWAI+mdXpesvMltk5alWe0aH1zIwJicQk9srMxHb5Tu7QA5rt748KxGsgJmzSKlzViMawVHflAz2qMoHsNcxxA114b3tIclsOwI37lxe8yjKV2YNdeHOr9PmmQlMCowV0pdZ45QzjdKGGYaW3hhSMS303pF4xud+nW89MhQlNNFuGRf48rFBmVq5CdXSlHUf2c+IjBS16io3MMXhJI90Xk6uWGHpiNP+mnMwsKYAv9XQ6rByQB9tIjfoizZY+abAbc4a4tZySiQKYLYzKykq0traqOkhraysqKqRL6U1M5JCaS9RlUZC/VEiVDVoFiUiFw4K/Tq3EByfX42+HVqLGJV2xRPodqctCPbJ4Mh0n9Qp7Zp41zI3Xj6vFAbXZwQop53VcoPfvkzPoisXByMoD33ZDEOjN36XkR2iL7fu+C6I5vO/ax3gB13zenubo//M33YqqBZ9c48/67L3tIQQJN0zKfUGqzKQ9x0oNUNHA1SwzywvUnhM9Mfo9E5k7xI1J1XZF/fzkkPNrSI2Pcu+NRqW6JMMrbLhzcnnSmC2zc3j08ErdHK8mypCUmd37juz0x/Hcej8+3CHtlFGyoKdtK653ThikztHP4iiod1tx36GVzMGUnpigTWZ27/PMMucbBUUysyljG7HXMdj60CzYFsRBr+zB1NeaMOGlRry2mS7PTZqXWGTW9MRojgUSFo7TJZAJABYllZkS915JUMuo/WbVVGYOcfP41xFlushOZ7Z+kELP+VSPftaFbD0pXi+55+m0odkOKb17ed91cEVBE2q1QrN5xQQX1kRBcXxoLXAPYTXQbPueKE9c94jXhtQ7Xi1Gqcwc6E0khQwtkx6kqp0WjGaQ2s4cL64a58367JLRHlw/qQzvnFiLcwgteli4TEI16mdjtPVqvWNyBQZ45QdqqpQsrTJTYjxlsd9yHfAlJaUOVaj0RJSZ3ftaSam4AfL2hdy8yLrOVZp4SVsHsCQLheJs/gQRlt+hRAK0GMkcg9tlkmaKo2emsRYdcpWZSuwnI8vMUlvXGWPq7TUwzySDBw/GihUr0NzcjLq6OuYDNDU1YevWrTjwwANVnaCJiWTPTBX7ocvMqtihTujpnCH9Dr0rMzOd0Eoc2GcPd+Px6dXkfRMmryhPycyTMehS/6y0n6IR+ao5iv9tClIDelIGDs2h8LfvgpjncOLthjhGuRIZa+3h7O3/tcaPOwl9HlghnYfU71Ej/aq4MlMnmdlwnB4w7omSpaYA4IqxXkzv68TxA13gOI66rVLkxjip8VHucrBW5LDw64llOG+EB+s7Y5hUY9e9+sGEHanxPMwL+GRXGGd/2JIl1ZOKkgA3LeNZPIVLRnvx15XdiqXR6cHMfSd50SgvTh7kwoauGBoDPC76qI34va4IjxoNAaBkZWapBjNTngtaZWacF9AR5nHTsg68uDEIr43Dbw8sx8/HJyoov22L4ryF++5DT0zAzxd34NgBLmKvrK0E+cHBCvuiakVJD6NSgdWEDcUFyTleiRPQqBLNNgsHC6csWXBKZZy56kOOfPfh1aOfNWuv1VwgznG1LgtqXRa0EIJnv5qQXdWtt23yk9FeTOvjwPLmCMZX2XHFp+1Y25nfXr+5IhIXADt7iwuxcrtFYu1hdGiOb39MIK4vRH96t4q+mDSMkvgxujLhavz9QeW45ON0tZmj+jnx6nG12OmPY/xLjcR9WLjsoNPMfi68dXwtXtoYhMMKnDfCg0k1+qi5XD3OhwVbQ9gZSNgVfT0WXD1em8LDsHIblp/WB8uawqh0WDDzrWbJ7WjBN1rikNTtLpdR1sjHtHHhKA/uWtGV9lmlg8PMfsrkF0nXRUx0JyXQySX66FWZqXRaoAcz5XcWjguKfB0s97rU+0Fn+p66ZaKVRdEzs8jWHCTbUerJ08s+lkNVMFPhWGySO5iH3iOOOAIA8NRTTyk6wFNPPQVBEDB9+nRlZ2ZishdpmVnl+6FmUSjfnW7omT1Jui6pATw9sni0JPTLOTCkZGYBGdk6uZ6ZaQ3i6dsWC/9e56dWpEpdLrns6KaIBc9vSkiM7CA0rfmyWV4iVQ7Sol7KKFPTM1OpcffhzjDWd0Y1y8xGeUG2Z2YXoS/OsDIr7plSgZMGu5OSF3oGM+WQGjvk7Hi9F8J1biumNTjNQGaBIfUtvnV5JzWQmfiuPlmX4iKmwWPF/02vgihG0MdtwUen1OH5o6upzhBa0CPTuVHtsuKQeqespGogJkhWj7MinhJBWMGQKKneC6cMGLSE5ygP3LuqGy9uTLSf8McE/O7LTny2O4w/ft2FI97I7tsTiAn4rJEsf7WpS3q+0qv6kBWjZEkfUufAleOkK0nGVSmriJCDNSjlJ8xnRpSZVUNmL3k59Jw/lR5bK/rIzOpwIioRr5eF4/CT0dnvyX41dsw/oRb7S6jHeHV0+B65dw4bVWnH+SO92L/WAU8JOZTFeYBVZlbsqUuSmWWpQC4UNHO9JyowVGbqO3fYLVzeKltoXLU3CHjSIDfmpkjv1bst+NMhicRYubGQNEdM7ePE/dMqcc+USt0CmQAwtNyGj2fX4bHDK/HwYZX4dHY9hpVrnzfdNg4z+7kkxxUR2rhIm/4kZWZlHoB8TBv1bisenFaZPJbLCvxzRrVimXG5yswwYcGqpsVKKqxrGqUJRfmuzGSx04y69tarT3Wm70luzM2jC0Y1pKm10qD9gpXInyuVblaLuspMWjK2Ma99qcI8M1988cV45JFH8OCDD+Lwww/H4YcfLvudzz77DA8++CBsNhsuuugiTSdq0nuRmqvVGGCGrczUcbC2EGpWUy9hLnpmKkGt4UireJOTFY2nBXPpxy8WljRGqAtVqctFiKOlsaot4RTO5StBClBKOYJJgU9aprcah/KFi9owXONiNRwXqNd4A8HhDgC3T67IkvvRtTJT5u9S7yVJtif5HWOue0w0IrWA6I7x2NkmE8mE0mAmm2TW2cM9OHWIG9t6Yhhebktm6B9Q68CYF6Wz+WlBD5KslpzTwx9Tlgmdiei8KdWembyQmiVPvlARXsCz67MlyG9d3olVhN6XALBsTwTHD5TuQ0IaW+USnfTGKIncNS4L7plSCX9UwLPr0yV6b9yPve81C6xBKT/BcaRIZtaglZkAYLcCQfkhMomew0C+nD4i5To4PdX+/pEVNqzXWLmYevq/O6AM9S4L3tsRwgCvFT8f78OoSjvxu3r1IrRywJXjsqu9jCIPqgdioI5l7QHsq25sCUmPFb5CRsBlkJWZJVVm5khm1mZJrNVpicC55rgBToyrSrxLDiuHp2ZW4YaOMjQH4zik3pm00+SmALW907VQ57bivJHapGXVQJWZpVwHKftVTlkjX5f1J6O9OHWIG2s6ophYbScqbNAgKQH9d30AB9U5iD4iuWdH7hrkTGaWcqNZgpmRuLJ2giwmgt4S6nqxf61dtr8lC5nJ5nJjbr7XD2qQOsWhZVb875havLAxgI1dMby6OZj38yJB7Jkp8X7nK7auJvhIe91N31h+YfbcDhkyBFdeeSUeeeQRnH766fj1r3+NK664AjU1NVnbtra24v/+7//w97//HdFoFFdddRWGDBmi53mb9CJ4iRosTkWohTZYFbJJfD4qM1Pn71z0zFSCfDBT+nPaYli2MjNNZtcg3kYdoDnWpf7GUnn4eVPCmUx6J1Iv3+LGMP60ogvbuuOYNcCJe6ZUMlVOBEiVmVIys4SAHi3QpybgsKYjhp1+BZ5ICc5fRJaopHHcQFfOm4XLDXFS4+PaDrrDUE+ZWRPjILUoJwUiMlGy+CBV4QPZThunlcPIinQHM81Po2ZelQsIBKICeA0TqHhKxSQzW6mwtEMsqKHN15u6YuiSkNSjBTIBYABBMjbGC9hICGbSkqBygVGSpURn2F0HV2BrTxyf7g7DbkkET+YMUdeHlgTr49xGqLZSMmZYC+DUZiVR7advDyvmY+e5Yk2fykx1+/jFeB9+/XmHpmOn2rccx+HycT5cLhFYlEKP6pWfjvbi9GFuHNaQrS7gKaL5QQ4xqYW5Z+beBQapMtPIMoi0ucYfE4hJnOK16da5DMhu4fKWXHPLAWXY7Y9j1gAXdvrj+LolgknVdlw+Nv2dsnBcIrhZlW7LyT3yBo5h6w5tjqNdJ8memTLvSz4riCqdFkzto0xaNhXSZXl6rR8jK2zENbScCSurFsY4TylNKKIlZlk4Dl4bR1SzABKVmUrUpNhkZo35og1k6DXLQqY/qUtmXZvv9YMapNakVo7D8AobfndgInHxzGFBXLCozRDrk8GE3snDJD6nJQicNtSN80d6EI4LWN4UwQPf9qg+JzXDIO19KiETrihQVIZy5513YvPmzZg/fz7+9re/4f7778eYMWMwZMgQeL1e+P1+bNmyBWvWrAHP8xAEASeeeCLuuuuuXJ2/SS9AKvakd2VmIadvPas0SAZ/LE1mVftsJmXv/GyMF0+uya62yETOGUUyHGmVHnIGx8rWKEY+vxtjKm24S2O/RyNBD2Zm/5HFMBu612FM2lb8dGt3DGe+35rMNn5mXQDBmIAnZpD7oYpIObIB6UA7SZ6KFOQE1GfTdess88TKQbXkKoB8IWV8yTVyNw220kRq8c+6CFKyoKdVuLBMi7RjqangklvH98QEopOVBdF5n9n7ycgolfUUq0BoTpYfZZIkSJCmr+09cWK/snxXpRglWUp0+lc6LXjz+Fo0BePw2jhVFRFyaHWI5qsvTq5RmuRn4/R7VvLdM1OP46ndxUWjPGgN8/jXWj+2y9gouUBr9cqR/RLSmCRKUWaWOZi5d/tWQmWmkaH2zGSQme1mLV9lxMqRpb315qb9tVX76xVQKgVoJhdtzJRK4KuQkdk3ZuhKGlpA++m1fpwwSDpJS25NIme+sJpMSiWd5Xx/HplgZjguoF3BekTuWQCMmyxS59YnmJldmVmaMrOZj/wJg9xouqgfjp3fjK9b6EmjuWbOEDduXtaZ9WxL9SSmBTM9Ng5H90+881qVOtTYotSYQhGt8UsBRUOvxWLBf/7zH/zhD39AZWUl4vE4vv/+e8yfPx8vv/wy5s+fj++//x7xeByVlZW488478d///hcWWsdqExMZpHxRasYJo8rM6lmlQQwEplxEPZpFSx3n8rFepglBVk6GYLPQAnEs6+TmEI/PGiM4fkGz/MYlgHRlpvz3xOtMCuyJvtrXtwSzZJNe2hRMZh+raZwuJWtKrMyMC2m9YFMxikOZFbm+JnogV82uxlegtrLCxNhokSxUEisZ5LMSHcMszivaQkdNkhCLTNQKDQvBYgz+K3Uiij3PdPbLAiDLk++gVNTnWybKCJnPAODN8PzVu605CWQC2qtmDOo/U4zSabyYe2bqIfuoNkDBcRyunVSGb89s0HwOatDaM1PuNfSUUBma4spMnl6ZqbWvfS6hzTXdFJnZzkhiLaN3z8xiss/lTtXei5zDtHGRdk+l2qTIyYEX0SNCDXiv74wRE95lZWZljsv6HtGUZqSQi8/J7S5ECGaOq7RJKjX89gD5hAM18vGfzanXVTJfikqHRRfJ0eyemXIys8adb0RYgplAopDk5WNqcMFID0ZWaO//q5ZyhwV3TE5/Fn8ySvqc7JR3JPW11DqOqbFnaeNRCXUKKApUPc2//OUvcemll+KDDz7A0qVLsWvXLnR3d6OsrAz9+vXDoYceilmzZsHrzb/WvEnpITXVqBknaPNgIZeOemZwEPtNpsx2Wn17E6rtksGXUZV2vDirBnet6MIufxzNIekjyRlo5IAs+TtKHJah/CdyFwQpA4dW3Sri35vg5CcYecLe2szbv+qS/HtzKI6BPpuqjGBJmVnCOfNC4l5+3RJGICpgel9nMoBhYH+HJOUE59iJg1xYsC2kyzHkRhk11TXFGJwxkUeLo1qJg9pq4TCl3oEPd4az/tbN0D+KtrhVIzOba4WlYnxflJ5zmE/0Fc3FGEyaC3YHyJN6/isz83o4IloDLkrQKjdeTE53GsorMwt3bK2Qkg4zGVZmxaZu6fezWGN2WqX45Gwtbwl5wtT0zNwU4LBot3TSEEmpxQjEKEmUHRFyv+3WMI+Hvu3RvQqomJJETJnZfVClZCl/Gyghwy9XaVdMU6/cM0CyD2kBEUC+vx1rkpLShCK5Qga53XVHBcnkyn5eKw5rcOKfKUpp4yptOEJC0jwTpZWZhzU4MLHajjFVdnzXlruKP6+dg9vGIUpQ9WIlMyFSTo2rGHpmSiXvWwgPT7XLikcOrwIA3LC0I+0ZySeXjfVhSr0DX+yJYGyVHYc3OCRbW9F8EamvpRZ1GIcFqHUpn2BMmVnjoDo07/F4MGfOHMyZM0fP8zExyUIvmVmak7XQBt2kajtWZxgCvz9IuWwLaY2dupCMa3Duua0c/nQw+bxmDXBh1oBE2f+p77Xg413ZTmq5SYc0edECcbRFZG+GF4S0YHmY4d6LQUi5LGELJ101Ld4m1h57Ut9NhVSNAwDHzW9OvjdDy6x4+ZgajKiw61J9nE9IlZk/He3NCmaW2TlVcrh9ZXpOqGlYbhpspQmro1ryuwon02kNTslgply/VoDe61qdzKz5QGei9JpEeH3UH6QgObJ3USozGWLiupLrueflY2rQFuZxxaft1O1oEs56o2buSMWgbZoUo7QaXM9bpGXMVgOL43ZMpY26tsplz227BejjtlKrttWiVYpPvjKzdOYhMZmENQj5xNoQngC5f3xHRMBp77XgjGFunDfSWAnzNPWgliD9Obzja+nkUC3kq7/wPVO0t26R8wvkO1mjkNCSe0jXqczOSSbGy122YpJDlPstJJ+F3FxlkUn1Ze6ZqbPMrNp7U+W04C9TKzC60obPGsMYWW7H1eO9TPaJ0rmtZq907aTqHAczbYkeoqQWRaxkqpPJVWYWQ89M1srMTCbXOwoWzASASTUOTKpxULehqUSlvh9apochZTZVcyU1mGn6EvJKiSwhTUoVQRAgNZWoGSfKHOQvFdqeu3Jc+qKsxmnBaUPJCzoSpIE/TWZWwdzstXH4dHYdFpxQi8enV+Gr0/tgRj/pvgSZkLLO5CYdkkGYaXN0hHlc+nEbhj23GycsaGE6p95G5r1mkWjyx+iSR6IxSLqP4jECKlLalFRmAkhLANjcHcdfV3bv3Y/xDdBUSMHMo/s7ceP+ZUnJmIPr7Ljv0ErF+x/ks2JCFT13SY0xUCoVNSbpaLmvSgMTR/WTzhY+biDbPENCjUNYi7wuC0WwLs5C6f1c1hzFWn9ulhYkyfFdlMrMfDsjpKTS9aTWZcEZDLZhriRlpdD62pRKEkGlQm+mrpWZeb6GLMEFC0dPbtEaBKfx75nV+O6s3MjQ0hIFrt+vDGcMc2O/GnIfdLn5VWmfYqWoqUJQi7heYFGFYWXRrjCuXtyBfxXQESsFzS9OUirKJfmIiY+usOGsYcp9FZnIDV917t7jrqRVIJISt0mykXIBsWKaeuUC3iSfhZxdL3cNWKuCla4f5Coz1folq5wWWDgOPxvrwzNH1uDWg8pR7WLLdipTaDdW7w1m1uR4TvHZOVUJqpkE4wI6wjzivIAoL8gqtRlYCCCJ1BKH5VIdXEcPJBoBmkmd+hu1PBpDy9RlAtKSqXtR7o0hKJxosokJA6R5RK7/mxS0SVouMyvXnDfSiyqnBW9sCaLGZcVPRnswpEz560lyaKQ69Fh8ezVOC44Z4MRlY32ymTMk1AYzSX0HMuXirvi0De/tyK7oMdlHnE93RrNUqcSFhAOihxCMFOUfSQuAIGNlpxRSjmBaZWYmL20K4vHpQlE0bU+FJDPLcRx+e0A5rpnoQ1dEQIPHik93yz/zdx9Sgd8t7wQvAJUODk/OqKIaXoA6mY4SKiAwSUFL4YnSBf1+NXYcUGvHNxlySTMJQU5WSOMTbUGc69a1ergzD6lz4MvmiA57YsNm4fCL8T488n0P0/a/WeYHoC0QTYJU3UOVmc2zNyLXh7NZOKas37zKzGr0iJaKhKDSYKaeDg/SM8How1QMyzhv5ThqMDOX9oNWKVgatPfv1gMTyjXz1vnxqyUdktvI/e5cyswe09+JrT1xtOQpuCYmN+ai1+Uz6/y4ZAy5OjMSF7B0TxiNQR4z+zrRx5Pb8mVaVX5rIYKZOYxUeWwc7j6kAnOGuFHp1P6uyQ0nfeQaDJYQtNd/c7e0YgkpmCmXMFJMTnf5ykzpd0xuKlDb+igTpao0csE5tW9VlYb3UWllpngsrWoFcnhtFnjsFgDalBbawjyGPLcbXhuHq8b5ZLcvhspMKb8Zy6OoNoinhbOHK0t8ob1TqS4rLTKzQyV6DWulmJJESgEzmGliaEhJ7qoqMymTrREGnhMGuXHCIG0ZjqTeAJGU+V+uam1clQ2fzq7XvBAiOVHUysymGhWdEd4MZDLAQ0Bqt0RWh0IgxhODkeLnifuYvU0gJqT9VwlSpxdQ6AS5cVknRhWwubkaKmScoB6bBZ69P4ll8XnVeB/OHeHBpq4YJlTb2RyPKtY/pL4MJsWNlkoppT5kjuPwwKGVuPijNmztSUxUtx5YjknV5MoWFkjDDy3Ik+sKMT2K9nLtNMjEbgF+McGHD3eGsIZB+jeXECszKVKS+U5sybXvQ/RTHd3fiYUS8swieZWZzUFl5qVjvHgqo/Lq+kll2g6UY5Q6EW2cvg/LlHoHljWlJzrcO7VS12OIsMRtbRZ6v7JcBlto6718QFMGkPvdtO/+bWoFVrZG8Z/1geRnA31WbO9hc/I6rZxsRZCeiEmouQhmrmwlyxoGYjzOW9iWbHVSZufwv2NqMKWPtiQpGjTHd7NcCVAOoNlix/R34gPK/CHHLfuX4eLR+sn8yg0F9b2qMpN8MQZ4pde2kwlVVvIys8ynVXBUy8xqrMxkXdMoTcqSS0pTO0xrCWaSVKJIiP68XPd59to5eHSct/wxAX9b3S27XXH0zMz+jCW4x3EcLhzpwbMptkSuuWysfAA5Fdq7l/r6aFH5GKaicEiOXLZQMMmm91gHJkUJD6Cvx4IGtwX1bgvqXBbUOC2qJORok3SpjDssgUDamvLKcV68eXytLk4GklQST6y3TUC6TakB2U1duXeqlkLVWea9Zq1S6YkJxJ6XzSEe3VGeOHmIsrB+FV5kKV+AkspMAPjnj37c8EWn4mMXknKKBHYmrM9lpdOCA+sczJVyal75UnhHTLLRUimlJiC4f60DX53eBx+fUod15zTg+v3KZCuJ5ZhICIbeuB85IKI0s1operhz8x/M5NDgsWLRKXW4cKQnr8fOhOQPNlZlZu6OV+XkMGxvFvFFo+iO5Hw+J1oX7lLv3TUTfRjs2xcJG1tpw+XjjNUjL5NKp7LroPf8+dsDytKqPSbX2TFniHYJSCnYKjPpY2oulZBpbUVyxbjKfU4xWtWN3PxKW9+eMMiNB6dV4tYDy3F4gwOXjPZgwQm1zOfosHJ5rRJMVmbm6JBTX9sjuR58e2soGcgEgO6okJO+lKlQe2YWqDLz1xOynccnD3Jh3lE1uG6SD3096l5CkoKSWjiOo65BelNlJu3SHtU/OxjvsgJnDJO2zWSDmQVWJVOCnF+qi1iZKRfMpP+ddU2j9/JBS89MtSi1G8VkFaXytErx2jh4CpCgFJMY0zd3xfBVcySpUlZopJY4rM/iTfuXYVieKjT/dEgFMemCBL1npvT/V0ouKjNz2ULBJJviKl8x6XXYLRx+PLuvLvsiSTkCKCJzjg4xEJgy55J8e38/rFLWQaYEUjYcqbpChFVmNtd4bBy6VEilGolM2SNWh4I/KlAbox/+ehN6CPcxqKkyU0JmthiaFmhESTZkrqoZVMnMmgZbSaKlQlFtQNBu4bB/rX49PKqdFpw0yIX520LJz8rtHM6g9HfKdZtBPfopluVaCzcD8Zp4bBacOtSd1yzeTKT6J8d4AY1B8lyVb3+DntOVz8alzbNXjvMlx/85Q9x4ckYVfvZJu+R389ozU+OhpOaRgT4bFp9aj892h+GwcDi0jyOvv0kNVUp7Zur8c2b0c2HJqfX4cEcIfTxWzOrvzNk1Y+nRmZCZpf89V4jrj3NHePD8hvQx6xfjlVUHSPHLCT48/F269PbVKYEjLQoAtHtm4xI24PX7leH6lMSc3x9Ujj8wBOs4ADspyR96s21vxWguKjMBYE1HDJd90oaFp9SnfX7Tso6sbZfuya08O23J0xnJ/zqmv8eKS8Z48eLGQHKOLLNz+PXEMrhtHG47qAKXjvFh3EuNivedi8QvK0dWNjArMxOMrrDhvBEePJcypt24fzkxgCU3xhZTIr/ayky5aVm+MpPtIul9KdW+YkrtkFSUrv3Edli5Tp7Tq2emUlLH9O4oj9983oFXNgUhIFFo8/zRNbquW9UgXZnJ9t0BPhuWzu2Dj3eFYbcA967qztk8SesjToI2z6QmYmixJXNRmVlM8t2lQO+xDkx6PbQeKsVk0NEgBQJTF5KkNaXeaxOS4SEXnCLZYalZr2qq/pRCqiwlcekYb1olgRHIdJ6zVqn4YwK15+VWiqTVvp6Zyr3IUqcnF/wuBZQsIHJlJKnZby6dkSaFQ4uT3WGQIdBm4fD49CpcPMqDwT4rjuznxNsn1KKa0kSOpRehFvTIx8mnfCiQ7ljT4iTRg/e2h7ChM11asCnIU69rvnve6OmzX3hKHW7evwxnD3fjn9OrsqqKSdUYQO5lv1LJhcwskMj2P3GQG7MGuAwfyASACoUVEbmYy4eV23D5OB/mDHHn9Jo5GcZ5C0e3bfQI5t5AqLSvdSV2/ovxPlSn3Jd+Hgt+NlZ70uYtB5ThlMEuWLjEmuWqcV6cN2Lf+0hzvFbIVI3Svku6pWcP92CA1yCTbwp/WdmNJY3hnAUzAeDrlih2ZkiNt4eljxfP4XxgJElCC5eQHx5SZsPCU+rxx4PLcftB5Vh0Sh0Ort/nfFdbwaxHYlYmZmVmAtrUzXEcHj6sEs/PLMOvhkTw+tHluJYivy5n0haT013OPicHM/MjM6tETWZMpXwARXUwU4cetixYOODkwS4A6nu0H9nPiXdOrMW0PvSAoNduyWsfeBFx/eCP8pj9bgv+tzeQCQC7Azxu+bLwKmC8xJymxDfjtHI4bqALR/V36XlaWagZa2jvXur+tIxjA3PgtzV9Y/nFrMw06TVQy9XzeB65hEVmlrQI0XvwdREscrnWIaTfkFpd2h3J/apRaTDTKuO4KQRZMrOMC3l/lFcdMBarZ9RUZqae3g/tUdz6ZWfee57lG6UOqFwFXNQFM/U/D5PCo61npnEeCp/dgocOq8r7cfersWOVRD+vITpkgOZKzslt5SQrH1Pf8Xw5SWic+E4LFs+pR73bije2BHHxR23U7fOt6KCnk3ewz4abDyhX9d18On60yswWQZySCaXvR4HbOmqCZZyXs4n16Ct0znAP7l/dnWbrnjjIBc/eSOn4ajs+nV2HBdtCsFs4nDjIhT4e7c4rj82CZ4+qQWeEh92C5PFEaOuHqfX0vo00OT2S/dffa8X7J9Xh5U0BtId5rO+MpakSiHAccPlYL5740S+xl9zwxxVdOQ1mAsDW7hj6M9jSYV6AJ0c2Sr4TZ2gM8FqTPo/+Xit+MUE64KU26aUtB7rBCR+E9DXsTZWZcusqq4XDkX0dGBGLYWA9vdpJ7lE3kLkui3xlpvQzKSeJLuf7ykVl5rED5ANHvz2gHBfJ2LdSVCmUu2flNxN9eODbnrR/1+9NMqAVi5BYemo9xlYlnt8FJ9bh091hzH63RXJbr62wlZnPrg/gm5bsNd3SPRH4o3xBk+20VGZmksspTM05USszFQYzrxznxf/9kG73XDTKw9yKSQnFNK6WAr3HOjAxoaBWm95okObTSFowU3obvcdzF6kyU05mlhTMTJmxaVWDeqG0L6vdwhlOdjPTyGF1KPhjgup+AGIQk9Rzk4Z4ej1RHqe804JFKT1vSpUTBinLhpN7T88Zrq5HlqqemabFVpJoKeoqlcCEFi4d481ybAzwWnFg7T7H0/gqdYHNXMg5VTo4Yu+s1HG80gDBzKYgj3e2hbC5K4ZLPpZ39HRFBLy7PYhXNgXQKpdJpQN6+uxZqt9I5LOCV7vMbGnMI5VKZWY54wQ/lEJqI5GKleMwiJL1roe9PLzChmePqsbIChvcVg4nDXLhscPTE1gG+BLVqpeM8eoSyEylwmHJCmQC9PXDYQ0yVSiU79Je635eK349sQx3TK7AgQTpOw7AaUNz00eVxNI9EbTnqmnmXljXNpEcTgFGC2ayoNb3kYu+q7QhpTdVZurpj5IL1BXT1Ctn0jyzTroFglaZWVZTirSfQ/s4cM1EHzy2RF/YU4e4cdP+5GpakaP6O1UF8XOVdHj75AosOKEWfz6kAu+cWIvbDqpI/k2NvTmiIn0NRFs7em2cYp+cHog9M7+gSK/euKwTAZ3L8uO8gKfX+HH5J23449dd8FP8cXoGM6V6hOqFmoIZWm/m1PdNbg2x/pwG3DOlEk/PqEIftwUOC3DmMDd+f5C6ZFE5CvCo9mrMykwTE5SOzKyF42Djsnt3RFMWcKQ1X76CmVLVH6mQZApT5/LuPAQzlWas2i3Gq1TLrsxk+15PlC4zS0OUhe1SEQwV5TJe2BBAa46dH4XAY+Mwo68T7+0IgReAIxocWdKBctCeMQsH1X1v1Sygjfa8m+hDIXpmGgWpHmtKGeC14v+mV+GaJR0IxgXUuSyYd2R1mgzVjfuXy1YVSpGLYGY/jxUDfFZs6s729KYOC7S+4/nk9q868bOxPqYs4uYQj3M+TFznercFbxxXm8wGzwV6BjOVyJZloiZTXi1aF+6lkgChuDKziH83Sza7zQJcOMqDJ9f4s5Q+RpTbdLMfThzkxomD3IjzQs6lwlmRCnCKyFVx0Jy2WpUPOABT+zjx/NHV+OuqbslqExpVTo4o4UpjVyC39jzrmjCXlfpGkpntp0Dx5fiBLry7PbuKl8bJg/UPiJMebQu3Tza6lLBw0snlevqjZKs8i8j5pfZc5SsztX1fhLbVHZMrcP1+ZXBYOOb9+ewWLDihFn/4ugtvbmV/P5UmVWVy3EAX3ssYD47Ym4AzrcGJaQ3ZygJq1iWZcxltbrNaChXMTPx3U1eMuM1/1wfQGIjjlWNrdTvu9V904F9r961D39sRwiez6yT9NFJqMGrNhFwKKKix92gmder6SG5tKirVnDbMg9Mo7Tn0wih2aG+BKZj5/PPP63Kwc889V5f9mJjoTSmZyQ4rh1iG4yB1AUfqGaK3UUuSWZLLoCVWZqact5p+jEpxK0wbt3GcrKNhSr0Dy5py01xbiniGkcOavdwW5lUbNYGYgMZAHPev7pHfOAPxmNd/0anu4Abm2AFO/PaAcuxf68DuQBwcEs51PbNw/zWzWnKhwYIaQ9PMPitNtDhMiz3AffchFWgMxPGRhqpwK8fh7OEenDrEja3dMYyosGW956cMduGno714eq0yub9cLOj7eq24Yb9yvL+jOe1zuyUxZ4kYZYEWjAt48kfl80tTkMffVnXjqZnVOTirBLnsyaaEXEgnkdD6XBhJmloLlQr7zxkkN0AVLHFbKweMqLDjxWNqcN6HrehKCThdMc6rKVgveTwDPUfVTgu8Ni4riHvrgfKVALQxnnVZIjcKnTDIjRMGufGzT9rwv01Bpn0um1uPURU2PLs+gF8t6WA7kTzBWvmZS7lbI7XE6KugAvn3B5VjRUsETUG2a1jrsuCQenp1sRpIMrM1Touh3m29ePiwSvx8cUfaZwO8Vl2TxuTMgGK6rGoVIGR7Zsp8n71npvTnohtGTYLZiAo75h1Vg8WNYZz8jrQEayoVDk7zu3LGUHdWMPP8kfQkaT2S5+SWNixrHyunb0AuygsQBAGbu8nBTABYuDOMrd0xDNahlcjuQBzzMqqMv22L4rPdEczol+3fkfq9av1KuZzD1DyW1PZwKX+iqQZxoPchzwXF7gcpNpjeuquvvlqXRYcZzDQpNB4bEJCYk4rJoJNDyqZIrcgjTfR6XwOSDFVIrjKT1Pcz5Xv5qMxU2jPTZqEbvVeP9+LS0T4c9OoejWfGTqZfNcJo5e0JqNdiCsUF/GlFl6rv5ritTsF47dgaHJnSXF2JoyET0jUqt3OYM0R9trSqnpmlNHCaJNEiG6m3g1qOc4a78cLGdGfsAbXqK+8qnRa8dlwt2sM8hj63W9U+RIez08phVKX0uVg4DvdPq8TNB5ShOchjdVsUV33WLrtvFnlHpTR4rJhcZ8eR/ZxpQdyrxvnyWuHHSjiu3in9yuYgnpqp7/mkovS0xlTasKaD7iihcdfkctz2Vfp8O6E6d5WnUmh9JEslKUZpZWYx/26WYLnoUDu8wYllp/XBP77vQXeUx5H9XJitwVYpBlw2DqcOdeO/6/c5JWucFvx0tHxVAM1py+qkFEi9ezO+ruQZrHZawHGc5sqfXMDaw7G3yMw2KFhjjKuy48u5ffD5njCqnRaMq7LjjPdb8WVzeuKtwwJMrLbjwcOqcmKHkHZZqv0yTxjowtAyKzanKGL8fLxPVxtaVmZWtyPlHrWPHEntS0TucrPK4JMCJhU6yL6SlM4y0UNi9szhHnRGeDy9xg9wwE9GeXHOCPq8pUePdrnrzOKTu2xsdl9ELcSFhLoLi89x/rYQrh7v03zMd7eFJNcRb28LMgczVffMNJrMLK1nZsr/r6DYJD47l3e/hBnMzC9Mwcxp06bl/UEwMckFPhuX7OmXSik93YlFRvpvTF1k5SuYSdLQl8uuIhmekTSZ2dxXZnoUzkY2C4cDax1Y3pwu22TlgDePr8VhDU40BXPfsyuVN7YE8dMxXpTtdUg3Mmbe7mHcTopgTMCineqqmnhBkJTMKHZouv9KIb2/WqdoNYamabCVJgaMXxE5b6QXL20KpiVuXKxSajkVLU4BJQ7iercV9W4rVrexyf3VuvTvHTWuyg6O4/DirBo8tyGAH9ujmNbgxOzByvr5qoEDcLZEQLpYUeoLmNHXqSmYedowDx79vidtbr96nPbnXwk2jZNPqVRmKu+zXry2DouceKp90NdjxR8OriBvXII8cGglqp0WLG4Mo95txS37l6GaYfymSdSyQnqytLxp4pyYq55sWkgNZtKCimGdnbWCICT9Y7nsN6aUQxVWTlY6LThx0L4EgzeOr8U724LYGYjjmAEujKm0gxcEXZVkMvHZOTRLqGnmUha+kFS7rFhwYh2eWevHdn8cxw3QP8lDbpi2FNHcq7a3tpx9Ibf2ZY3THdnfCac1kWyXyrUTtQe4WJMHhulQGQgAPxvrw8/Gsp+30rZMUsitO70M8+IRDU7EYnE8uU6ZbDaJKC9QJWZTYS0WkGN9l/RacKdf2n8o5TNTm5CcU5lZFedEy5tKfSVoqiiFkCcuJvnuUoBp1Js/f36uz8PEJC/47ByaQlL64qUz8Eg5GVInWVKwSO/AxIx+0obdrybQewSyyczmftHoUZhpZrcAPx3jxRtbgknHYpmdw1MzqnHYXunPfPeTu/2rLjy/IYA3jqvFm1vZncUvb1LfMy4QE7BTZWVnMC7gpRJxaqeip8QFKcg+TuOCX42hqYPPzcSAFFNwYXpfJ549shpP/OhHIMbj3BFe/GR0foM5mahxurAmcUzt40C925ImCTfQZ8X2HvKYa+OAX030EaW/xX44DiuX92tX6eTwf9Or8cLGnXk7ZqoDWm+UOgNo8kgs9Pda8e5JdXh2nR/NIR6nDHbjmAG5D0KnonUeKKbkCRpKn6lirsx0MuRU9PZkJ4eVw10qArg5yFchoiRtUZzXyhXKKeeD1GBmd4T8q/RyOAPA+9tDuOGLDuwOxDGl3pGTRCM1jKm0aVKnABJVUJm9xXLtJ5nZz4nNa9PXnhYO+GmB7blc0tdjxc0HyEtPq0U2mJmzI+uP2vnEKSczK7Nf1vWQx2bBFWN9+Pt3++zswxocOKhOf0lmEr+YoD1wqgY9xga568xS/VnvtuK3+3mwotGPFV3ax+MYT++XmYpe9s7GTunjkfqSSldmqpWZzWVlpvLv0GVm9/2NVpmpR6BdKUXkQikJ9EnhMDEpEgoxqOUbOZlZUvKo3pkkPrsFPxnlxeM/7pN82L/Gjql96IYdUWY25cTzUpmpWGaWw+hKOz6aXY93t4UQjAs4d4QnLYu5EE67NR0x/PmbLjyzjj1AqeXyBjWI7u8O8LiSQWpRL84e7saLOQ6eem0cxuuYWTys3IoBXit2ZGTp/Y6hFxMNNcaX1oocE2NSbPf1pMFunDTYOLKFahZtrEUdTiuHN46rxQ1fdODbtigm1znw0LRKTHhZWr789weV46h+TlQ4LMRgZr5lSVNhybbWmwjPFoxRQ2afajn0kGwcUmbDbQcVrupN68I9n/09jUQxB3FZ7pnaSprejh6JFqyVmWp8l0a0D9pC+xYtnRHyj4roVD3ZHIzjko/bkj1RP2uMyHwjP4yssOHpmdVFqab2h4MrsNMfx/s7Eso+B9fZ8ceDKzClT7a0ogkbpdQzU637Tm6elQ1mKrBP7pxcjv1q7Ph8TwSjK2y4YJRHl3mQJU+in8eCo/rnN5FNT+SWAiwJGnVuCzw2Hg9PCOPLeB1+s0yb5GxMADZ1MSbn6/QukVR6WgiKaXrKzMZy6FrVXWY25U9WC4dyO5fWl13EWwBD20z0zy9FcblffPFFXHPNNZg5cybq6+tRWVmJ//73v8Ttu7q68Nvf/hYTJkxAfX09Jk6ciNtuuw09PdKOHJ7n8fjjj2PatGloaGjA8OHDcemll2LLli3EYyxcuBAnnngiBgwYgIEDB+Lkk0/GJ598ovWnmuQYUjAzWELN+qSCgSwys1r6pJG4e0oF/n5YJc4a5sZtB5bj9eNqZeUySL691F4neanMVCozu3fzvh4rLhnjxdXjfVlyTLnoM8KCkkCmVvIRaNaDi0d5MFQnSRYSHIA7JpfDpWMSBcdx+NMhFWnG6qlD3JiqUFYqEzWvfy/1QZc8xexkNwJqnBdKZrSxVXa8fUIdtp7fD68cW4sBPulxbJDPimsnlWH/WgfKKNU0hVSmEJOGfncAXbFBT/w5nKPyXZlpBLQGN3pBjqEkxfy75apdANM+KCQz+koHgE7OSPpRE9vLxVpRKx2R1GAmeXwPx4G4DgHNlzYFk4FMozC9rxPLT+ujWaWlUJTZLXjpmFpsOrcBOy/oiw9OrjcDmRqxykqs5ulEdECNnWrlWK6BjMysgvGO4zicPsyD+w6txOXjfLpIhgPAiHIb+nro+zp+oHESOtUgV5k5ssKOy8bSq7TF/roOC3DuMBcG+eSjwGcPd2PBCbX4ySjpvqAk2ddM9PBLNgXj2B2Qnr/2ENpUSSVQqo2f37R/7tZhas6JluuZub9ywsaFKGIyZWbziwFN0mz++Mc/4t///je2b9+OPn36ULf1+/046aST8Nhjj2HUqFG4+uqrMXLkSDz88MOYPXs2QqFsHe1rrrkGN910EwRBwBVXXIGjjz4ab731Fo488khs3Lgxa/sXX3wRp59+OtatW4dzzz0X55xzDtasWYNTTz0Vb7zxhm6/20R/SGX6uXRu5RupLLJwnCGYmYOx18JxuGiUF0/MqMZ1+5UxOe6sFk5y0kurzKRk3uoFS7PxVFikSIpp4aCW9nBxvEsOK5czR/ILs6rx8GGV+HROPS5T0HeClTlD3Phybh88OK0SbxxXiydnVGnO/pRb8On1HRPjY2YVakPN9dPqX5VahN6Y8lm104IB3uyF/UPTKhUdZ3SFvgkgYjDzkjHevC06e3LohFYczDSgZKNStMvMFv81ECEFkaRQ2MnAULA4eEvothYdh9Q7shy5NU5LlgS1mjxeIwbhWSszT3m3BQ3P7sLhbzThy6aw6uPdtrxT9Xf1RPTfTuvjwL9nVhX2ZHSi2mUtSDVNKVJKlZnqeu7J/0DZykwDBCY4jsM9Uyqp2xhR/lsJLK/8vVMriX/z2bis4PEQmYT1AV4rHppWhWkNTlS7pE9gF6FXZSZdlCQaVtYRJGYBpLUWSUVq7ag2QfX4ga6crUnU+D+plZkZ/yb581jkifWmN/h6jYRmr8TXX3+N559/HqtXr0ZbWxuiUekMBo7jsHLlSlXHePjhhzFs2DAMGjQIDzzwAO68807itg899BC+/fZbXHPNNbjjjjuSn99xxx148MEH8dhjj+Haa69Nfv7pp59i3rx5mDZtGl5//XU4HInqljPPPBNnnnkmbrjhBrz66qvJ7Ts6OnDjjTeipqYGn3zyCfr37w8gERCdPn06rr32Whx11FEoK8tflrkJOyRnWT4q/fKFVHJKaqyWJINmpL6hDgsQyrAfUn9DjyFlZuW34TgOZw5z4+VNpdcXUqRDB4MuHzgsnC4Sf1Ic1uBEWY4X48MrbBiuY2BBjfFlRKeWiXZKKbigBbeVU6XaoOa90BrMvH6/Muzwx/HKpgDsFg6XjvHi/BH7Mo0tHIdfT/Thhi/2OWHHVtpw3kjpbGQSdx1cgbM+bNV2simI82ytK9H78c8rutAd5bG+M4Y9hMW7VnJp7/EKb2QpVGZqXbiXkt/6nBEefLKbLUhitxTvuoPjODgs6S0sMjGz0wuHhePw2rG1uHpxO1a0RDCh2o6/H1aVpQ7D2qs5FSPe19SemV0y68MoD3zXFsVp77Xi+7MbqP22SOikVquZHRf0Q2eER53bGP06TYyFfDDTeO8yCTUKEA6G10JuuWOU5M45Q9y4apwX//hBWjpVzThmJFjv78F1dixvzo411Lmzf/9gmcrMhSfXJZWzSPNac4htHSIlcaoUP2UfLSEeMV7ISlyXmovU2uTVLivePL4W099sVrcDCmrsBtr7m2nLkIKwSn25emAGM/OLJk/oXXfdhQceeAACgzGsRb9/5syZTNsJgoBnn30WPp8PN9xwQ9rfbrjhBjz55JOYN29eWjBz3rx5AIDf/e53yUAmABxzzDE4/PDDsWjRImzfvh0DBw4EALz++uvo7OzELbfckgxkAkD//v1x2WWX4Z577sHbb7+Nc889V+3PNckhpMrM0gpmZv/GCIvMrIEGX4eFQyjjRFN/Q3ce5H0UBzMZN7/v0Er4YwIWbMuuEi8F2oqlMtMCVDpz89ArlSg2AmpOuQh/pgkDaqt8TxlcvP1apLh9cjluXqa8AkPN9ashZAWzYrdwePTwKtw3tRJWi3RA+rKxPowot+GzxjCqnBb8dLRXceB6Zj8nZvV34sOd6qtaUklNMJtYbcfzs2oAAP9a48dvlnbocoxMaA4DrSiNffsIkbxiGlq1qgKUUm/Fc4a7saEziid+9CPCCwhTkvqLPRnIaeWoPQhN+6CwDK+w4b2T6hDnBaKKBut4ddbwfRKGRpSZbQ/zEAQBHMdRZWZT6YkJeGdbCOeMUJbQo0cFjl44rJwZyDQhIhdAKKapV818oktlpoEu0uhKsoR0sVdmki5zZn/7gT6bZDCzXmIclKvMTFVgIwWtSb0qM+nWYV4IUyZkAYmAZoMn/Xfq2TMTACbVOPCHyeX4/Vdd6ncigZpzorUzmFiT/i6QihMKITNbjD2rixnVJum7776L+++/H7W1tf/f3n3HSVXd/QP/3Du97O5sX2B3KQtIB0GkCkgRFCuIikaNiYm9BJ/YnmiMRkWJxpjHrjFiDOankShiiaKGIvZYsaLAAtK3sHV2dub3xzK7Ozu3T7sz83m/XnlFZu7MvTM7557yPed78Kc//QlDhw6FIAh4/vnn8de//hWXXHIJ8vPz4XK58Ic//AEvvPBCPK9b0ubNm/Hjjz9iwoQJ8Hgi82p7PB5MmDABW7Zswfbt2zsfX79+PTweDyZOnBj1frNmzQIAbNiwIeJ4AJg5c6am48lc8uSWm2fQfUdqbMzfrbaTG3swUXtNsvEYEcxMQmdSbzBTa4M31y7i77MKFXPBm03/HO2d5ZrW9JgYYLckbmVmOqZfNTJrLpMGoamLkZVSdhEJSamcSosHunFEsf79p4wUi2PKnXDGYUzSaRUU66Kj+zhx47g8XDYix1AqN7tFwIrZhXh6dkEsl9lJLp17PPcZ7qkxYJ49M20iMKYw+jd258S8OF1R4sW+MjNz6hFBEHDDuDx8f2YvbDurN4blyw+mpXOaWUB9oNgsK1qynVJ7VOsKw58f1jWmYsaVmYFQ18qYeh3bkDy9uUn3uT49oG0PtUS7Lon7TFN6Uiuq6VT1GqlPNAUz1d7DRHMFlLY/yk3zFBc5NgEVEisp75kcmT67QmK7DEA6K10/lbGr7t+nXDtU67YU8ViZqRTMBKT3zey58AOIvY5OROYBI5OglMaYjiy2R/w7TybLjdyEUcochldmPv744xAEAY888gimT5+OFStWAACmTZsGADjppJNw5ZVX4vTTT8fvf/97rF27Nj5XrCC8v+WAAQMknx8wYADWrFmDzZs3o7y8HI2Njdi1axeGDRsGiyX6hhd+n+77Zob/u6qqKur48GNS+2xKkdq/kxLrjL4W3P9V9OMnl1sy5u9hRXQt5G8PdX6+5la/5Ova2/xoaTFHIEoq/Vazvx0tLS0IhUJJWUkbapfPXS8l2N6m6zdklsm9RQ4B+1QCkPP62PDAV9r2DUgXYjAAl0o35qEpXrz1YxtWfK9vFVI63ktCQQN/32B7Wn7WWPj9/oj/z0TBNu2/hYV97cixC1jUz4Fx+aGM+j04ADx7dA76/b8Dul7X7m9FS4u++kMA8L+j3bjhI+XBVbN8vzOKBQzzWbCpNrZ6wSFI/2YswcQNGNc0+ZGor7FVZqsNOe1+Py4b6sAvN7R1BkKrckQc11s0zd9aTcAf22+g3d+ClkAajarqYJFoj4dZxfSuR9TmgoWysH0QL2f0d+DpHyLbnVNLrXH/PgPt8mXXaQHy7SJ+PdKF0Xld9+mAWTovPeyqb4bDa8H+Ju1lSgwFI77TrQ3tuP2TJnxX347JpTZcO8odNbH1o12p3ybELgLHlKVPHUHxpbUfElAbKwkGM/o3ZBPV+yTBgHJbvd3fihbja3/iSqld7BICafO3vHaUS/JaLxnixLUfdKXRHZRrwaySyH5PiUO6/mkOdPyWu5eNXgqrVa1Cx982XAPqHfPrqbYl9u+/QWZ8Nmx7XQsO83R9/td2+CUDj6FgbNfib4vtu5DS1qq/HLXL9KfcVqDN34ruzzog/bsQQ8lvh6ZDOTTzWJbTqS/Ll+Fg5n//+18UFRVh+vTpsscUFRXhsccew7hx47Bs2TLce++9Rk+nSX19x5LovDzpGc25ubkRx4X/P/y42vFqrwnvk9n9eCU7d+5Eu0JHguLPBWBqvgPra7qC10f62mGv3Ylq/dnkTCngt6Nn0W7yt6G6uhoAsG+/BR3DtJH27dmD6gTtUaWXLeREz/ly+xuaUV1di5Z2IBBSTwtkF0J4ZlwLNjcJWLJJ341RRAi2hn0AtL/uwP79qBb0lGd9qY0SZVxuG17dK18V+KwhDLfUQs93kUhOMYS/jG7Bqt1WOETgr9v1r5wCgKb6OjTtC0Dp71DUshdLeodg99vwhI7zhMtaOmlqsAHQ9102NRxEdbW+QE+m2L17d6ovIWH2tAjoqC3VXVhWC58NQDOQhj97TY70OfBerfbp2bt/3ImAXf24nua5gf5jBHxSb8Gy76XfwEz3FiHgABDbtPVgSwOqq2uiHm+oEZGoOmfb7n2oDiWm7V1Tq+8+umfXjxjlCuGxUSLWHrCgwBbCMcUBNO1pgP41Q6mx3w/E0p7ZuX276gqSdBVoky8jFqR3PSIEo9vp3TU3SJdtUjfTK+IZwYH2UFfBmJPXiOrq+KZ+a2qW/n1eU+XHyaUBWARAEBoi6vaaNsAs/Zfuvq7+EaI3hJ0HtN+D21qbUX2o89/SDpzyoRP7/B2/6c9r2/H13gb8YVjkYN93e/S3lePp8Nx2/KyiDd6DTag+mLLLIBNQqz9a2gGlsupvbTVVm1KdvvuO0B5Q/Xw1B6THxMJ279yBepOszmw4IN8ubqnZi+r2VI7hSf9tjikK4N/7usaYXGIIE+wHUF29P+rYWU7gnmEi1tdY0MsRwgmlAdTtPojuw7P+eum/18Fmf8Tfevfu3Whvle/LOsRQxPENdVYABjpuhxxobou5LO3ep3wNX+3ch8GH4gbN7cD577oglVqwKca2V22M34WUXTt3oEFn1MnhBwS4EOrxGW8cGH3fammUrpdr6hM5TiX9m0+ne6rZ+iAWi0V2UaIcw8HM2tpaDB8+vOuNrB1v1djYGJHitV+/fhgyZAjefPNNo6fKWL179071JWQdv9+PO4K7sareh8/qgNH5Vpx/mDMlGwQnSt7Wg8CByM5XSLR27vvqC7QCaIh6Xa+yUlQUxLSNbtwUbKpFdUvkYGOr6EBFRcmhzbjVK2mrRcCEQeU4IhjCkk36KrKje9sxuMIHfKY9wp1fUIiKCvkGcbTohlwqTKvMxat75YdNfzvOi8N8PuALc0T7vTYRM4eUY+aQjn8/+fR+3an9AKC40IfD+jqB9+R/G/369EIfjwUFNU3Adm2zsUflWzrLWjrJ29cI7NQ3m8yXm4OKCo/6gRnE7/dj9+7dKC0tjdhnO5NYmtqBD2o1HVtZ3gd56ZQz24D8H+qBWu0r7irL+6BAJuWNmgoAswEs+166fjDTvSXn6zqgIbYZvIV50veQSlsbsCm+A/dhjtwCVFQkJlDqrWkCoH3lTnmfXqjwWFABYF5CrijxPK1B4D1jAyc2EaisNM9vOt7cX0qXEbvYkQIwnesRz6e1UNoUNC8L2wfxUlEB5BT68ddvW9AUAE7v78Cp/Qvjfh77d/UAouu2woJ89JfZA9vbqq0PpkeOTYBNBA7EsE1FflEpKoptCO1oAKAtm0qu242KilIAwOrqVuzzR/aN19VY4SkpjqjPHXsaAaRm5cXdR3pwZpU5JpZS6mjth/jbQ8BG+T6ux+VERUVJIi4xQfSNm7gdNlRUFCseUxxsBb6JHhML61dRDrtJNoCusMu3iweWl6IiL3VjeMf0qce/d0TXJfdMK8Zj37Tg3zv86OUWceUwF8YWFcm+zxkVwBkK55nqCQDfRo9HLR7sRUVFcUTZKLbYgPelf/9umxjRnypqbgZ+MD6FcFuziO+tpZjey3h7ztPUDChMYwy681FR0RGcXbmlFa1B6d9trGMzZ+W14/6ttYZfL6WyvBwenXsrVACYsyPydzWmwIKfjO4VlYI2f7/0GJbT7UVFRaK2wDF/P11OJo1lGb7rFRQUoLW1q7GYn9+R03rr1q0YNmxYxLHBYBB79uwxeirNwqsl6+qkB917rqqUWnmpdHzP1xQURO4ZdPDgwajjlehdRkvxYReBK0fmZOz377JFV4Rtwa7fm2iVHnxwOexwOs1xQytwWgFEXufBQMdnaPNrGzy1CgKcTidCIe2d415uEdN6OXDnRB/2SOSmVzyfzZaWv6mAYEVfrwVbG6I/71snFGNMkR0/1AcAmCSYaRcjvmeLoH+fMgDwOuzI9zgVX5/nccLptMBh056G4aT+nrT8Hdit+lLpAoDTbk3LzxoPdrs9Yz+7V8eqNa/LCWeG70nhtTdBasBXjsflhDPGAO9RZXas2xV53/ntuFxT/ebctgYAsQUzQ4JF8jO5nIkbPPJD+pzxIFj03Uc9zo46Jp25BeOrAWyiYKrfdLzZrdJLp8K3zHSuRxxWET3b6d3ZrdnbPoiHY/s7cWx/beMJhonSg6FOu3x/xi3Gf/XPZ4vK4HOIuOfjGtz0X2MDykGLHU6nAw3tjeoHH+KwddUFd0tM2AyGgC8OipiT1/VdBITUpJm1i8CiwbkZ394i7dTqD5vK5ndWi5jR92inVf3zOe3K31GO2wnBJKkjfG75sl/sdaW0LblktIB/79gX8djhRTb0znPjhvFu3DA+Puc5olcIw3yN2FTb1fewCsDiwbkRnz9cNnJsAg5KpFt29/htuO3tUAokavHTdQ34/LRSFBr8O7QLyv3MoNhVX31QIz+hxhZj22uYI4Qjihvxwd74bffhdjnhNLBw6MlZDtz5cT0+2teG4fk2XDrCC687+vt12fyQmmTU/TtLlnS6p6ZzHyTMcIuoT58+EUtTw6s0X3zxxYjjNm/ejO+++0429Ws8hfes/P777yWfDz8ePs7j8aCsrAxbt26VTPfa8/ju/y21L6bSfppEySK1ibW/W4NWLnAT64bR8SS10qfu0D4tB9u0daRbD31mQRCgZVLdWycU48vTe+GhaQXIs4uw6vw+ErFhdtjowsSlNNrXEsQFw6JnLZ1R5cKYoo7gtlfnbKpE8vRoDCnsD67IJnb8NnIV9lRwHPrhyJ3jtCoXlozyItcmwG0V8LPDPLhiZKJmgCWWkYmnoonuGRQ/UnWInJ6zIzOR3g5YPBI9/GpUTsSedJVeC06vMldqP0ccZqu3ylScfiMzVDRqCCTuvfVm+TLJhP+YWGMYW4/ltelA7vao5x5rVmqLzzPht53pjpVZoT48X77PkYhERuG6xBXDj6b1UJ1Rr7ZPYDfd7z9NMvVCz6Laom+eq2GTSu2dZcgiAPdOyUcOA5mkg1o1kwHVkCItKyqVurFWAaYJZAKAU+Hz5CmMZSTDhBI7ruw2/lHsFPHnKflxP48gCLhnig/9cjoCWh6rgD9O9qFUIsAFAIVO6Xtmz4x8ljjcWpvbQ/jn98Ynu8j1h8IC3foXSpcba9tLEAQ8M6cIZw9yY6jPitMGaNt2RonRa3JYBNwwLg8r5xbh90fmoUzm72yTiR+3JXJwlkzBcNGdPHkyampqsHXrVgDAySefDAC48847cdNNN+HVV1/F8uXLsWDBArS3t+Poo4+OywUrqaqqQq9evfDuu++isTFyZl5jYyPeffdd9O3bF+Xl5Z2PT5kyBY2NjXjnnXei3m/NmjUAOj5r9+MB4I033pA9PnwMUSpILQjpHv+Tu6/HoyKPF6lGWe2hYGadX1vF1D37lZYBs56Ner3fR6LqyyeOLsBr85XTpMRiXoUTPx/iwdTSroX6g/OsuGZM14xwM3WgvT2uZV6FsUaW/dAfPFfhszk7g5kyrbAQcOO4PGw5qxe2nNkLd0/2pW1wx8hkhgzKzk3d6AkwZMNvQG9gLR73gJl9nHjt+GJcPSYHtx2Zh3/PL0Zvj7lW8CkNrGjVKvPdFrkS91kbdQx266U3BpsJwbxYJsLZ07S+1EpuUpyJmlSGqQ0UZ8JvO9MtqnJH9Rn7ei0YWyQfzNRS3n12AfN0pPJ2HLrdx7Kw6LTX9+O01/Zh3Y/aV8eHy+ee5nb8cFA6ShnoMUFFrs6Kt3MHe/Dd4l54fm4Rvj2jDGcMNNdkJjI/QRAkdtTrkukTUrVMGlKqxsw26UhpS6yeE72TTRAE3HREHr4+vQyvH1+ML04rw4iCxEzEP7LEgY0nl+LTRaX44rQynD1YPqVqkUwws+ck1Xj9rf/2rfHVnWp9zfZumeaULjce47n5DhF/npqPjaeU4uHpBeovUJHoyW1zy6XbG2ey3sx4hn/uxx13HPLz87F27VoAwGGHHYbLL78c7e3tuPfee7F48WJceeWV2LZtG0pLS3HDDTfE7aLlCIKAs88+Gw0NDVi2bFnEc8uWLUNDQwPOPffciMfD/7711lvh93el9Hrttdewfv16zJw5E5WVlZ2Pn3LKKcjNzcXDDz+MHTt2dD6+Y8cOPPLIIygsLMTxxx+fiI9HpIlNosbo3vmSX5mZqCvST2plZms70BIIda7Q1ENL57vnMXoH6PR2b88apK2CFYXEDXwVOkSML7bDYRHwzNG5eGxUC1bOysXaE0vQP7cruOmwmCdo0bPBfvFwY/sChAficmTSQYpC12eWKxvBzmMF0+ypYZRo4DeWroFbUqZ1VboAwJIFv4FdTTpTjsfpKxldaMf1h+fi4uFe2dmoqeSIwyXJJVoYkW9Fb4WUWrFo0JjdwYh2HWntAXNlxDAqlqBVJgT1lMg1CzIhiKv2GTJ9oDwT5DtE/H1WIUpdHQVxUJ4VT88uVFyNpGWg1CYKyNWR0SX8W3HFWHn+e3urrr5YIBTCL/5zAIOf3iV7TM/6IlnBTJdVQL5DxPTeDhSkeSpySh2lrmkGVEOKtHw8pe/AbO0TpSwxZllBWuq24Ihie8LHRFxWAZVeK3wqKSLkUr72zAIQr35bfQz9C4UtyAFEZn5R+nObse2V6HvN6EIbDuuxZ2ypS8TkUkdiT0wpZ3jPzEmTJkWlWr3pppswcuRIrFixAlu3boXL5cKUKVNwxRVXoKyszPBFLl++HBs3bgQAbNq0CQDw5JNPYv369Z3Xcs455wAArrjiCrz00ku455578Omnn2L06NH45JNP8MYbb2Ds2LG46KKLIt572rRpOOecc7B8+XJMnz4dxxxzDHbt2oWVK1ciPz8fd955Z8TxPp8Py5YtwwUXXIDp06fjlFNOAQCsXLkSBw4cwOOPP46cnBzDn5UoVlIDDO0hoD0YgkUUZAfbRE3NvuSQa5z8/D8HMEdm9o0SLY2Unh10vQ2boM5BzEuGe/HStmbUtCq/zm0VIAgC7CJgII6r6Lm5hZ0NTkEQMCo3iIoSW1SDWRAE5NgF1WtNhp4biB9RbMcvhnrwyJfa98kBulYwyw24OC1CZ+dArhGmN6WgmRnpd6R5/JZkaO3AZ8vKm93N+gp6pg8QhWldmTmqwIYbx+Xi1Nf2Rz13qkz6IkEQcP9R+Tj51ejXxKoxkWlmdb61mTJiGBVLPZDpE2Lk7pFmGyQ1Qm0yA9sH6WF2uRNfnV6GA61BTXt9afm72kRjZTseq/31+H+b1VMC9txvLV7BzPOHePDYV42ywddYUu4ShVlEICATJMmAakhRQMO4jNJtymztE94T9CuWWZnZc+JMvFZmxpL5Ra1u6d51UTo0ET8Tqb1HZ/R24D871ScQiUlI1ywIAv55TCF+9XYtPtjnx4h8G+6a5Ev7hQakznAwU87ChQuxcOHCuL7nxo0bsWLFiojH3nnnnYjUsOFgpsfjwerVq7F06VKsWrUK69atQ2lpKS699FJcc801cLmiB07uueceDBs2DE888QQefPBBeDweHH/88bjhhhvQv3//qONPP/10FBYW4q677sLf//53CIKA0aNH49e//jVmzJgR189OpJfMQjO0BTsatbIrM03UqpXL/b96Wwv+s1N7CqEwLW2UnvWd3oH6wXn60mkMy7dh7YkleH5LM+yigEKniJ//pybiGLdVwNSyjllFDosQsfdpd9cfnoPb/ntQ1/nnVzoxutCu+fhcm4gatWljSRC9Z6aAOyfk4YKhHvxwsB2LJAbMpThUVmZ2H6irkEnvONgX9yo0ZZhmlsK0tv3NloIpUU7p78IdH2u7v5ptj51EUtozc3qZDXdPLkBTewgj8jvukwNzrfiuPtB5jM8u4Oje8pOTZvR24rYj83D9e3Xxu2gADQlMMytVRVsE+XaX3r25zUg8lMrOyLdqou24E0KuXs2Ee6faykyOIaUPQRA0BTIBbeXdaMYGud/MYXlWfF0XkH4ywQ72mEXaEqdgZh+PBW+cUIyjV+2VfD7WVapEQLgOkv7NmmncJxF6poiWotT3NdukI94T9JNLM9szzh2vsrC3JYia1iDy1TYVl6C+Z2bX80r9mES0va4alYObPqyPeOy8wzxY/2Mr1OaHJqstWO614pljipJzMjINwyOxGzZsQG5uLkaOHKl67Oeff466ujrDe0k+8MADeOCBBzQfn5eXh9tvvx233367puNFUcSFF16ICy+8UPM5Zs+ejdmzZ2s+nihZpNLMAoA/GIITguzejmYaW5FKMxvWYGBVhVJjPvIY+X8r6eO24Ihi/XsDVHituHREx0rutmAIU75uxIZdXemuLxnu7Rww7hj8iv4MA3IsmN7LoTuYqXd/hQKniK0NqQ9m9twzE+gYiBmYZ8PAPBusAlQbVkDXYGKewsrMsHmVTrgsApp7DGKcq7BPQ7oxtDLTTDcNihtBEGAT5VOAhmVLv/q4Sqf2YKbJBj8SSWkVjcsCVPVI+fPsMYW4aF0NPtzrx7B8G+6Z7FMdnJGbVR2LxgSmmdUdzMyQ34tVw/1CSk28002YjFwRMdsgqRFKkxkAtg8ymUWlnW0TjE1ukJPKOR8He3zQeK3MdFoExTpUaX88Iq0U08yaKCNXIgRUgkOAWppZc30/CkNjJKNQpg/RM0OLnjaZ1yoojkV+U9uGCQbSm6rVLd1/zj0n2XSXiO0rLh/pRa0/iBXfNcFhEXDRMC9O6ufCLxVWfnddT9wvxxRuGJuLWz6KDPAuksk2RIljOJh5/PHHY9KkSXjppZdUj7322muxceNG7N8f/3RRRBRJbrZ026FaUC7NrJn2bvLFucWmZcCw59em9Jo5fRx4d48f9W0h9HaLeGpWQcyrcWyigP83uxD/2NyMr2vbMLWXA8dXdq1akXv3WX2chgaN9M7wKzAwyywR1IKwNlFAQMNgQ3jlZa7Mb617OXJbRdw+IQ+/eru2c4DmmjE56C2zYjMdGemzZWoDlTrKUZvKQIDZUjAlyuhCO64dk4OlGgKambDSTiul9D1Sg7T9cqx4+bhiBEMhzXu6KO0RZJSRCVFaSbWvLIIAlwVRk2E6nkvYpSSVVRDQZiB8YYbU9Ykkd4/MhGCmWvouxmIyl1VlANNsQYBY9Bw0jleCGpdVUOyHcRUWxYNSUcygYipJywQrparYbO2zbMn6Ek9FMhkHeu6FrLXv1tdrwavzizH0H7tkW7zf1AUMBTP9KnVL97TJPVO+dpeIci0KAm46Ig+/HZcLoOu3aGSxSKb46WFuPPdDE76o6cgaUeIS8T+judVgssWUIy+kY484PccSkXFyccBwf0xufNpMjTallZlGaPlsPY9RqnzPGOjGitmF2N7Yjr5eS9wamB6biJ8NkV7tt79VulXex2Mx9LfT21EuNEswUyUvnc0CNGsYbAgHK3Nk3q/nt/3TwzyY1suBD/f6MbzAhmH5+lfimpmRxm+mrCqiaFpuD9n097/28FxNwcxMT9vVndKqEqXntAYy1d7HqFj2tFEjNY/GIgB/mOTDhesi08iPLLDp+i7MzEztRzORX5mZ/l+YWjM9Az4iyVAbwLSKxsZ9ermkf1TTejnwVW1q0sz2TOcXr5WZLquguAceV2ZSPGRzMFPbnplKaWbN9wUVOEQc6DEedEo/rgaTI5dmtsngykyfQ0SZ24KT+7mwcov0nstbDhqrq9RSmHdPm3xQIVKfyPZ4z/FOI+OrmaLQacG/5xfjPz+2orEthKP7OGSD55Q4SRl2OXjwIOx27XuzEZFxco0vf3t4Zab068xU2cjtmWmUlpWLPYOXSgP1OTYRVlFAvxxrymfK9fFYDHVI9HaUCxKQ7s8Ipc4/ANg0/j3C5URuZWabREEZkGvFoip3xgUyAaN7ZpropkFxpWXVZbaNtbGPEsmh8H0447SdcCYEM0URmN/XGZGK3ioA1x2eOTN4jQbxzZLxIVHkvpdsWJmZqbPxSb2/aBMFnDHQrft9h/os6O2IHqT95dDUbenQcwVMvPbMdFoExcwDan0dIi2U7sMmjNXFVbuWlZkK34EZJ2yeMzj6vio3CZ4Ar8yE9Z5pZrVmOCs5NBb2yPR8/O6IXMljlFZNKvGr7ZnZ7el6f3JXZsZyrky+z3hsIo6rdGFRlZuBzBRJ+G1606ZN+Oqrr9C7d+9En4qIIL+PTWeaWZnK0kz9Jl+cB7i0fLaela3Sa+QaR6lQ7rUYGjTS21E2y6CjqNIqsmtsS3SlmZV+P7WN2DONkfKfyQ3UbKdlsD1b0syGqQ3eA/KZDzKR0ZWZeiQi1V5DIHH7NEqnme2YAPWvuUV4ZFrHAMjak0pwXGXmzKY3OrHl9KrM+Q6kyH0vcttBpBOHymcwU5+C4ktt8oJNBKaUOVAms9JSjiAI+N1gf0TGlN8dkYuBeTb8cZLPwJXGrmc6QrUBZ63cVkFxUinTzFI8KO6ZmeETTtS2ygCUvx8z9nH+d2wufjHUg0KHiIG5Vtw31YejeulPaZot8mXGrob4Iielax3WG1/SsTjLKgq4YmSOZHavnoFSrdRW/bdHpJlN7p6ZsZyLE9sokTTPnX7ggQfw4IMPRjz28ccfY/To0bKvaW5uxr59+wAAc+bMMXiJRKSH3CB0OM2sXF1ppkZtbpynrRtJg6D0feSYaBf2Ph5LVBokLdw6v2O5TdSTTe1PqbXzYetMMyv9udT2Lsg0RgYezdjRo/jQkl4p28banBYB9Sp7g8Rp0UZakJs4BcRvVUm6rcyUGjsLd+S9NhGLqvSvVkoHRlZmlrlE/PSwzF5RIPfzNeOKD72UVmYD2ZVyO9uop5kVYBMFvHhsEZZsrMOn+/04otiO13e0qr73mLwgPj05H980iqjKs3audjihnxN/+tyCLQeT2zhP5MpMpXYWg5kUD8rBzORdRypoaeopfQdmzKBgEwUsm+jDnRPyUp4ZLB0MyrWil1vEj02Rwb9Lhnsj/q11PGNaj8Cx2ypE1RFNBvsYqsHMiDSz8scGkjirVtP4qgnLEWUOzcHMuro6bNu2rfPfgiCgpaUl4jEpgiDgmGOOwfXXX2/8KolIM7nVI+E0s3KVpdYVbcmglHpHq0u7NVS0rBrQM2Yqt89iKvRyW/B9vf78/O50XZmpctla48zhgXi5lZnxmn2dLoylmU3AhZApaBlsN+N+MomkFLwLk1qZl6mUAo1qgQ7t54jP+3QXCAHBUCghE7ik0pplwwo1pbpAFKKDvL8a6cUvh3nRy22ihmcCyN1HTTQfzjC1+z9n42cutXta+H4wMM+GF+YVdT7ue3yHpvd3WQVMKI0cNC5yWvDyccV48ptG3PZf9f2r4+WgP/Km3hqnWKpasDLb2leUGErtnExvm8hlIutOMc2sib8fBjK1sYgCrjs8F1dsqO2cfjO1zI4ZvSPrlwqvelvUaxUwrjhy2zyPxI+k0WD2F7W6JbwHbCAYitrzs7uDBleGGpHNe2aSOWgOZp555pmYOnUqgI5N3U888UQMGzYMd9xxh+TxgiDA7Xajf//+8Pl8cblYIlInN0gSzkjQIFHJiUJ6788xvtiG6oZ27Gru+JDlHgt+Oaxrxr+2NLPaP7+Z0szaRMFQQ0HvrN+CeI1Ox0htDFDrAEC4nMitAlbI4JGRjMycS+NbBqnQUo6ybbalWlpFQNsePZlCKbibF6doTSJWZgIdgwauOO3r2Z1cmtlMp7Tf0I1jO/YVenV7C1wWAf87NjdqQChTyQX0MiFQsatJeeQtG3732Uptgmiift+93BZcPSYXD3/ZiH0tyalsew4Mx2tlZjr3uSl9KK7MTN5lpESxS33cQmnSDbMPZYZzBnsw1GfDmztb0D/Hivl9nVH9lxKXBYsGuPDM982y7zO5zB5Vt3lsIoDItpCRbGmAhj0zD1V5O1XaXj0n4CQS08xSqmnuyldWVqKysrLz35MnT8aIESM6A5xEZA5yncjwHoBSKda8ViGtZ3kdUWzH32bm4PUdLQCAYyucKOi2pEPLxt56BublUpMm0i+HevDwl40Rjx1b4QRgrKGgO5hpkjSzQ/Jtis9rHUSxHWrImillcCoZKf1ayhWlJy23B6P75KUrLfM5sinNrFKgcVxhfCKFSvVU/5yOFOuTy+y4aJgXg/KsqFqxS9P7traHEpLGT+rvb6YU/omiNGBqswi4ZLgXV47KSd4FmYTc92Ki+XCGDchVLuOM1WQuUcOemYmkZWJRvHQfGA4EQ3HbFzvbJoNRamTznpnXH56reoxymtnM/n6yyfgSe+d+l3LunZKPmtagbDr0swZFb4sgtTJTadWkEvU9M4HGtiCmPr9H8TilFLTxptYWADI/nTWlluHRhtWrV8fzOogoTuwytUbboUpSqpL1mHBk5ejeDry5U31/FaBjFUip2yLZ0ADinwZBS7rBePvpYR78Y3MT6vyhQ9cAXDKiI5WukYaCW+dAbmGS08ye0NeJ1dtaIgYOip0ippQqN0a1DqKEB0NyTfjbTwVDe2byq8tYWmYkm3E/mUTSskowi2KZivXgcF98VvIrfef/PbUs4t/NOgYQ1AYNjJJ622wI6ihNbMjmKlbuPpoJE4FGFyq3xTLhM5I01TSzCf7bJzNRTENbCKFQqGN7pTjWG6UaVo0RxSpb08weXmSL2t9QitJXwD5udnFZBTw9uxDPfN+Mh79swH/3tQHoKCeXj/DixL7OqNdIjZ82JiqYGQzhjZ2tqPcrH2d0ZagRTDNLqRa3JEs7duzAt99+i4MHDyInJweDBw9G79694/X2RKSR3N6X4cmljRL5Mz1aNkhLslP6u3QFM5Voq2zNXdsOy7fhtfnFeHpzE9qDHd/PmKKOwSQjDQW9wUylPTOH+qz4slb/vp1KKrwWPHRUPi7bUIOWdsBnF/DXowtUB8jkgvk9hQMx8UqHmO6MDDxyZnnm0hKozLYUTKmYxGJmSlVmvAIZetLM6rmVtyZoT+RgtqaZVdp3KsvuE93JfS+Z8JuYUmbHEcU2fLC3TfL5+iSmOqPkUsvKINelnFvuwKvbI/t1f5iYp/v8yayLAyGg5VBa8nhNghlfbEN+kieIUnZSKiomH/YwrLdbxMpjijRl31Bqq2bbhE3qaK8uHujG4oFuAMCBlna4rSKcMr8lqbE0qXFWLdT3zAQ+3S/d3uquzJ28H24mjK9Seos5mPnCCy/gjjvuwJdffhn13PDhw3H11VfjhBNOiPU0RKSRXFqMcC52qT0z9Qa2kuHsQW48v6UZa2TSPXSXZ1frWGvJ6a750lJmsM+GG8dFd/yNDBzr/ZvLNeQAYPFAN278oF73NShxW0QsqnLj+L4ufF8fwGCfVVPKF61x+XBaZbn9T+eWq8/ozCTGVmamQaEhQ+JZ1jIFg5mRylzSP4CfVah3trXSU7dZRAECtK2O9SdzZWYWBPOUJrZk232iO7nPngk/CasoYNW8YvR6cqfk8zsaVUbmKG2pVYVy7Yfrx+bi3T37UHtoZcmRxXacVuXWff5k18UNbUG4rBbVweaejil34Joxudh6MIBfv1OH/a1BjCuy4S8zCjqPKXCIONAaOfhtxj45pSflNLPJu45kumJkDnwaJwsoHZXNE7GoQ/ctq6RIpZk1ujJTfc/MED47oN6/OnewdJa6RNC2Z2YSLoSyVkxdzNtuuw0//elPsWnTJoRCIYiiiOLiYoiiiFAohM8//xznnnsubrvttnhdLxGpUEszK7VnphnTzAqCoGm/A0B9dZ2W9mg6V7ZGrj2e+4X1cis39nwqwWYp7kO/SZdVwPACm+a9K7SuzAyzigJm9o4OXF4wzKvrfdKdoWBmFg9SZzotf9tsC2YzmBlpUJ4V/XMi7/15NgFn9I5fMBMAqnKj65f/GS29/6LWlZx6B6W1YppZqeeSeCEmI/fRM6XqdFkF/GN2oeRzMyTaVZQZVNPMyjw/utCO9xeU4qFp+XhmTiGen1eEXAPZUZJdF4f3INO7MnNWHyfGFduxYIAb3y0uw9azemHNCSWo8HatJZCqy34tU78R6SUq9IkzdcWUnlLKiVgUC6/E8l2pcVYttOyZOThPeR3aaQNcGOKLW+JNVUwzS6lm+Da9du1aLFu2DABw2mmnYf369di9eze+/vpr7N69G+vXr8fpp58OAPjDH/6AdevWxeeKiUiRXFqM8MTPxkB0+gOvSUebtAbc1Gbgqb2NgK6VeunIyORBV5xaFz67gN4e5WBmjoHBCqMzk42khblrkq9zUF4AcNkIL47OsoE4pX1V4vkaSg9aApXZloIpmft0pQNBEPC3mYWdwcZKrwV/nuRFvi2+5+m5F7bLIuDUAS7JY9WyNIQlbM9MiZnV2TC5X2lAUOtEpEwkN9E+k6rO2X0c6OvtManBLmB8sfKempS+1FabK5X5YpcFp1e5MafcaXhSZfKDmR39Zr17ZpZ1m+gpCILkxNtfDvXg3MFu2MWONtVZg9y4dER2TaakxMnGlZltOsqpUjcmm9supI3UWFUgpD/7SzAUglpm/vYQ0KawevO2I/Nw/1H5SR3P1FJElCZUEMXKcOj+oYcegiAI+P3vf4+LL7444jmLxYLhw4fjwQcfxOjRo3H99dfj4YcfxlFHHRXzBRORMrkgUDiHu/TKTHOOSmsNaBU5VfbMVKlI033WkJHZlXLpVZVcPSYHd358MOKxS0fkYEyhDbk2AfUys9HqWvXvH2A8mKn/df1zrfhwYSm+qg2g1CWiUCWtSCYylmY2/tdB5qClSsiG9JndcWVmtOEFNny4sAwH24JwWgS0+1tRXR3fc/xqpBcui4DntzSjyCnishFeDPFJR0xz7SJ2NavXN4naM1N6ZWbm/26U6oJsXt0g9zPLpFuJRRSwYnYhLlhbg88PtGGIz4p7JvtM26+g2BlNMxsvyW6i1/uNrcyUS8XenVUU8Kcp+bh9Qh5CIfP2xyk9KQYzk3cZcTGhxI539/hVj9OzXbPSrSqT6mlKDLnMdo2BEOw6fkB+DdliAsEQ5LbjHJxnxUXDPElfmME0s5RqhuuxDz74AIWFhbjooosUj7vwwgtRVFSE9957z+ipiEgHuVWK4T1KpHK5mzHNLBDHYKbK28itKjhncPReLreM15b6NpmMjBsYSe10+Qgv5vTpWrE4r8KJS4Z74bGJuOmI6L08w+SCnEqSGcwEOlYZDsu3ZWUgEzD2G8rmQepMp2WvmGwLZmtNYZqNcmxiwgawBUHARcO9eGV+Mf42qxATSuVXzWtdmZmoPTOlglfZ8LNRul9k875TcmOqgmwC2vQ0LN+GdSeVYNc5vbHxlFLFMkrpTzXNbILbhnq3k4hV3aHoiO5gpsoWHN25rSIDmRR3SkUl3armS4ZrW7Gstvdgd0rBGK7MJDVyY1UNclFHGVomWCqtzHxsRkFKMswpZWXpPIbFiBLIcKuppqYGffv2VS04giCgsrISNTU1Rk9FRDr4ZIJUta1BhEIhNEitzDTpqLSWFESiAOTHmGZWrjF73eG5GJjbtYB9Spk9qRtra6W3oeC2CoYa6V6biGeOKcIXp5Xhi9PK8PTsws6/0c+GeGT3TjKSv99oGlxbdsYiY2Zk9VA2rDjKVlrG1LKto+/Iss+bjtT2zw5L3J6Z0e2rbOjIKxUNkzYvk0JufCpTbyVcvZ4d1CYoJDqY6UzQTSXfIf2+tf5wmll971fqYoeEUkupn5ZufbgT+7lwyxG5KHWJyLULsvXoMB17HSh9BZxbQGq8MpVdk8TCESVaJlgGQtKrjnNtAkYWxHl/D424ZyalmuE0sz6fD9Uac0lt374dPp/P6KmISAe7RYDbKkRVpLX+IJrbQ5IboxtJOZoMbg01YIFDVN27T+15udP0cluw8ZQSvLfHD49VwIgCmylXGXisAiq8FlQ3aOtp58b49+4js0fmMeUOlHss2N4YeR2/GOrBVRvrdJ3D6GrhbAuwxIuRxiYbqJlLSznKtpW5HKg3P60ZB/TufaZV9qaZ5eoGKUGJ4DbAupPSm1qRtiX4npeolZlDfDZs3B2dxrK21djKzEQFXYm0Uioq6dg0uWxkDi4d4UUw1JFpbOCKHyMCPC6LgGPKnZrfT6kuVmrXEAEKaWZ1ZiTT0idpD4YQkJghpyedbbyJGrKMZEMfiFLH8FDU2LFjsXfvXjzxxBOKx/31r3/Fnj17MG7cOKOnIiKdfBKp1mpbg7KVq8eko9IWUYBDZWJrsUqKWUB90F15Zp6AKWUOjCmymzKQCXSsgP/16BzNxxtJMav1Oq49PPI6BuRYsLB/dLpeNUZXZiboo2U8Q3tmmrQ8UOy0jMFl2zjdUb2YOtHsNKeZTeaemVlQJym1sUzavEwKuZ8Zx3YonaV+z8zEvP9hedJz/OsObdOSqEkwRImiuGdmmtZDgiDAIgrItYt48Kj8zhWUTgvw6PR8TVm9wpQmu2dz24W0kUszK7WllxJNe2aGpPsuqVxBrKV/k673GUoPmldmrlixAiUlJZg1axYA4Pzzz8err76K//mf/8EXX3yBiy++GP369es8fsuWLbjvvvvw17/+FYIg4Pzzz4/7xRORNJ9dxM6myFwENf6gbOVq1j0zgY6GgtJs2EINwUy1WUGZMEv+nMEe9Mux4rXtLejttuC69+RXQmod8DXiJ4M8GJhrxcofmlHssuAXQz3Is4uwiZDduFyK22DrjAE2Y9RWL0vJhHJD0jTtmZllZW1WHweKnSL2tujbC4WSJ1djvaF3hY1WUm+bDcVEcXVDNnwBMuTuFBwjpXSW6jSz9gRlbx2YZ4UARGUwCqeZ1TMJxskMs2QCymlmk3ghCbJggBtzKpz4qiaAYflW3fvOKt3KsjmrBGkjl9muMRDEmh0tuPqdWuxqCmJqmR1/mORDhVc69KJpz8xgSHIcLZW/Uy2nzoT7DJmX5mDmxRdfjEmTJnUGM2fPno0LLrgADz30EB599FE8+uijcLlcKC4uxt69e9Hc3AwACIVCuOiiizpfR0SJlyexh2Rta1Byv0zAvHtmAoDbIqIG8lOWijT0GNUq0kxJgTCtlwPTDq0euv3jetT7pf/eiVqZGTax1IGJpZGrmCwC0KbjPbSkGJaiJf3UlSO9ht47kxlZPcRZq5lL256Zib8OM7GKAp49phDn/6cG39YFUn05JEGq7SMlUXtmBiUGJDKlfaFE6TOauHmZcDJZZrMiwE2ZK51WZi4a4MKWgwHYRAFvS6SQ7a6X24I8u4DaHn2nutbwnpl6gpks5JR6yiszM+M3mmMTMb7Ebui1yhOxDF4QZQ25lZk/1Lfjlo/qO7f8enV7KwJv1+KfxxRJHq91z0ypNLMpXZmp4R5iYYOXEkjXzz/Uo1e2dOlS3Hfffejbty9CoRCampqwdetWNDU1IRQKoX///rj//vtx2223xfWiiUhZvsSAXp0/hEaZpXFm3TMTANwq11akZWWmyiGZ2OdUWqGidfVKPOntNKn93eWofbRh+VZcMpzBzJ4MpZnNkI4wRdO0Z2YW/v1HF9rx/oJSbDqtLNWXQhK0Zh1I5srMTGxf9KQ06JfNqxvkJttnyiAyZSf1YGZiz69n/+pHphfgteNLcNMRuarHlrot8ElNBvbr3zNTT6pLokRRqn6zuGrupPQdZHNWCdJGbpuux75q7Axkhq3Z0YptDdITYbXtmYmI/WHDErWHtBZaquJs6ANR6mhemSnnzDPPxJlnnolvv/0W3377LRoaGuD1ejF48GAMHDgwHtdIRDr5JFbebW9sx8E02zMTUN87kWlmpeUqBAMTmWZWjt7vWG62mxqlgdMX5hXhyGI7nBxkiGLkDsB+XubSUiVkw16AcrTUO5R8WifqJHPPzGy4TyquzMziotIuszQzG34TlLlU+1QJ/oHrCWbqeU2ZS0SeXQR6ZAOqbe0ox3pW9P/sMI+eyyNKCKWffbZlV5Gi9BWYeJ4/mYTcNl3f1UsHLT/a24ZKiVSzWuqWQCiENom+SyqD7gxmUqrFHMwMGzRoEAYNGhSvtyOiGPgc0jXHqa/tl3zc7HtmKtGyMlMtdpWJs+SVUskmOs2sFL1fsfFgpvTjYwptnSl4KZqRwSfOWs1cWlZdZvOKqxTcQkmDPI1/mMStzJRKM5uQU5mKUsAyG1dwh8nFzLP3G6FMoLoyM8E/cK3BzO5ZWLS8ptRtkZwMXKeyMrPMJWJXc9eSGQHAmYMYzKTUUxrfSOWKLrNQ+n7YxyU1erfp+uyAHyf3d0U9rmWCZXsIaJMIeqY2zaz6MZk4xkrmEbdgJhGZh1RnTImp98xUubbiuOyZqeeK0kOOwmhCKoKZes5oE40HSuQ6ZwlaiJMxjKWZjf91kDlo6Rxl899fkOmccaZ7auWaMM1sNnTkufpDmvTGDlyZSelNLStDoic6adka2WsV8PMhXQFFtT0sPVYBOTZRcjJwOM2sXCrAp2cX4uL1NdhUE0C+Q8AfJ+Wjj0e9b0qUaEo/ewYz1dLMJu86KD3pXQzy8f62zv/+prYNT29uQkt7CFsPqi/NDARDaJOYMJnKcqylf5OJY6xkHrqCmfv27cOKFSsMn2zx4sWGX0tE2ukNZpp5z0y1fUc0pZlVqegzsaJVClimJs2sAEDbAHIse83IdT7kBhWpg5G2cDanGc10WmYkZ/us5Ykldryzxx/x2F2TfKm5GAKgZ2VmYs4vNWkmE9sXPSmnmc2CL0CG/J6Zyb0OonhSW22d6CCA2irLC4d5cPFwb0Q6P7XXlLo6Llqq/1zrD+LtXa244+ODkq8dmm/D2yeXYn9LO/IdYlZMYKH0oNRPszHerjIRi+WYlLksArSPbnXsm/nE1434srYNj37ZiICOeZXtIaBNYjArlUF3ppmlVNMVzNy8eTMuueQSQycSBIHBTKIk8WmZttqNx8RT59VWjYY7oEpUV2ZmYIO10ivfS0nJykwdX3EsK4XlV2ZyaaYStT2QpGRz+sBMp2llpnmrjaS47vAcnP76frQcCowdXmTDSf2i0wdR8mgOZiZoqb5UPZMNHXnFNLNZfJ+Y2duBFd81RT0+vsgKtEm8gCgNqKaZTeGemZcO9+L3R+ZFPV7qElHoELG/VXpqY5m7o88kFcxsbQeOe3mf7DnDLynUkCmIKJmU+nZcmamSZpZfD6kQBAEeq4AGHVHJK96uNXSuQBBok8gOkMpyrGVSu5HxJSKtdAUzQzEMBsfyWiLSJ1vSzJZ7LBiYp34by8Y0s4N9NtnnclOwEldPW8sVwx9EbhCFVZAyI185V2ZmLi2DkdneQZne24kNJ5XitR0tKHGKmFPhRI6JJwZlA61pZv1JTDObDeVEqf7I5kkvx/d1IcdWi4NtXT+MUpeIKSU27NyRwgsjioFa8yDR1aBSMNMp02cUBQGnVbnwwKZGyecrDk0AzdM5GdhhkU87T5RqTDOrTOkr4MpM0uLwIhvW7fKrHxij9lAIbRITMVO7Z6aGsQJ2iymBdAUzJ06ciJdffjlR10JEcSK154cSMwczJ5c58Ndvome293Fb8PiMAk3pfNTSnGVie/UwhSCv1tUr8aQnWOaOoWUmlzaHe2YqMxTMzMByQx20VAnf1XFpUVWeFVV53lRfBh3isQqwCNJBxe7k9j6LlWQwMws68kptLHsWL1ZyWQX8vzmFuHBtDbY2tGNwnhWPzSiARUxQnmOiJFDrUyU6tbTS/pdKkyGvHpOLFd81odYffaM+pX9HVgX9k4Gz4AZPaUtpiIRz75T7sdnQdqPYXTEyB+/v7crSkyiBEOCXTDObwpWZGk6diWOsZB66gplElB70dMZ8dsHUaVbnVzoxtcyO9YdmPXmtAi4b6cWSUTmaZ82pr8w07+c3apBP/vaemjSz2r9jdwJWZnLPTGV2A995Nq+4yXRaOke93FkcpSBTEgQBuXYBNa3KwUp/ggYd2iVSAJi4eRU3owqkM0H0dnekdsxmk0od+GRRGer8wc6JZC2JHvUiSiC15mKi58e6FE7gUGiW5DtE3Dc1H+e8eaBz4oldBH53RB7mljsBdPSJ9ZjR26HreKJkUhrf4MpDrsyk2M0ud+K140vw+vYWHGwLoirXijy7iB/qA3hjZyve3Nkal/MEQ5BcmZnKFdZaTp2JY6xkHgxmEmWgIqf2waN5Fc4EXknsPDYRK+cW4bXtLdjXEsT8SqfufUmyMc2sUrpDran44klPW8YdQxpcuTgt98xUVum1oMQlYk+z9rAvJ6RnrhINexHP6G3uuoOyU7nHippW5VXDidozM1vTzJ7Q14WHvmzE5we6vncBwG/G5jIF4yGpyIhBlAhq97REBwGG5csPXykFOgFgfl8X1p5YgleqW1DsEjGvwokSV1ef0qdj8kVVrgXXH56j+XiiZFNMM8v5iFC6W6RgRx5KUyMLbBgpManvspE5qGkN4rp3a/H05uaI5wQAx5Q7kGsX8caOVhxoDWJovhVnD/KgujGA+7+IToneLNHJMH2aWZYjSiAGM4kyUIHTgokldryzJzqHe65NQP2h/XuOKrPj90fmJfvydLOJAo6rdBl+vdrK02yraE2fZjaGad1yK8oSlFUwY4iCgNuPzMMFa2ugdR97PattKb3M6uOE0wLZtDljCm2YXGZP7kURabBogAufHVAOZiZqz8ygxFyQbGhf+BwiXpxXhFVbm7Gppg0+h4i55U6MKeI9gijTqKVfTPTgapHTgt+Oy8XvPqyPem6oT3qVeHfDC2wYLrOavNglH+HxWgXcNiEPhxfZ0dYewmE+KzzM1UkmptT+4MpD5f1uzZy1jNJHvkPEg9MKcMmINry9qxU+h4j+ORYMyrMh/9DkmfZgCKLQ9Xu8+cM6yfdqkRigsaWwk6Hl1NnQB6LUYTCTKEMtm+TDuW/sx/cH2+G0ANcdnosrRuYgFAphX0sQLqsAb5Z0wrIxzSwAnDbAhf/3feRMMLdVQE4KphsO8dmw5aC21GqxBDPl0m1wz0x1Cwe4MabQjvf2+jHEZ4UA4PiX96FBovF8/hBP8i+QksbnELH62GJcvqEGWw62I98hIs8u4DCfDaMLbfjFUA8HQsiULhvhhT8IPPVtI7Y1tEtOZEnqnplZUkx8DhFnD2a9QJTpVNPMJqFtcOVIL344GMDyb5o6H5taZsf4ktgmUAzPt6LcY8H2xsj+ypw+Dtw92YcKL4fOKH0ojW+kMj1lOsiSITJKErnVm0B04FxusrjUnpmpXEGsLZjJ+wwlDltkRBlqZIENG08pxY9N7fBYhc7ZpoIgKM48zURqe/tlanv+ipE5UcHME/o6U7KibskoL16pbtF0rDeGYKZc54PBTG2q8qyoyutqGrw6vxj/2NyE17a34IeDARS7LDiuwolbxpt/RTfFZlyxHRtOLk31ZRDpIggC/md0Dv5ndMfkrVkv7sVH+yJXaiZzz0x25Ikok6j1qZIRBBAEAX+a7MOsPk68vasVh/lsOK3KFfMkK1EQ8LeZBfjJGwewvbEdZS4RV43OwflDPEyZTWlHeWVm8q4jHXHCJqWKnmGwlK7M1FBGeJ+hRNIczKypqUnkdRBRAjgsAvrlcM6CWj2fqe3V4QU23DvFhxvfr0N9Wwhzyp24LUVphY8otuOUfi6s3NKsemyJ23iwXa7zwS0zjRleYMPNBXm4mcFLIkozgiDAIdEASO6emQk5FRFRSphhZSbQcX8/qZ8LJ/Uzvg2JlDFFdny2qBS7moModopJ+zxE8aYUf7ezcaIohnnVRDHRU+ekMlio5TKl+mBE8cIoBxFlPPU0s8m5jlQ4Z7AHZw10R+TiTwVREPDo9HycNciNb+sCqPBa8JM3DkgeWxbDymHZlZlgNJOIKNtIBjOTmGaW4+BElEnU9szMhCCAIAjoFcPESiIzUBrfsHPFlCJOYqBU0bUyM4Vje1rGTxnMpERiMJOIMp5aGoRM3+TdLJ/PIgqYXe7E7HJgW0NA9rhSl/Eellzng2lmiYiyj0OiOklEMDMos/xfbeCfiCidqKXOZnpGInNQKqssp8qYHpNSRU/8L6VpZjUEUp0MZlICMZhJRBlPrR6VGuykxFJqAJXFMBta7m/NYCYRUfaRSqUW3jOzORDCtoYAnBYBfWNMyS8XH+WemUSUSdT6VAwCEJmD4spMBhkUcWUmpYqeRQiprG+1rcxM/HVQ9mIwk4gynlWlondmQk6kNKPUTotlZabc2zKYSUSUfaRSHO1tacfybxpx0wf1ONAahCgAvxjiwdIJeYbTsbcHpR/neCERZRL1YCZvekRmoJQZgpMOlHFoiFJFz2/PnsL6lmlmKdVYjRFRxlNbGcEUCMmn9JWXxLBnplybrl0mBSAREWUuqY60PwhcvqEWB1o7IpDBEPDQl41Y+6Pf8Hnk6hg2L4gok6itWFKbQEpEySEyzaxhXJlJqaLnt5fK+lZL5hkGMymR2Nwkooyn1iZgMDP5EpX6Rq7jJrNohoiIMphDx6DAP39oMnweuTSzSoOJRETpRq2JziAAkTkoFcVUruhKB1y5SqmiZxgsleVY1FBGOMZKicTbNBFlPLV0Daxoky9R+4jJ/Sm5MJOIKPvYdSz0/6omYPg8cqnM2bwgokyiNnbKIACROShOHGY5VcSVq5QqSumhe0rl75RpZinVWI0RUcZT20jbxY0Rki5Rba9ebumR67MHuxNzQiIiMi09k5W+rG1DyODMF6aZJaJsoJpmlqvRiUxBaeKw2thItmPbjVJFTx1q/jSzSbgQyloMZhJRxlOLVXLWUPIlqg/lc4g4qsweda7zDvMk5oRERGRaetKWH2wLYUdju6HzyKWZ5YAhEWUStVsqV2YSmQOHN4zjykxKlXRJM6vlOpn9jhKJzU0iynhqM4dcrGiTTi6APLfcEfN7PzK9AJNK7RAAlLlEPDItH4PybDG/LxERpZcBOVZdx3+4r83QeWSDmWxeEFEGUetTMQhAZA5sfxjHSRmUKnpWW6byd8o0s5Rq+nr4RERpSK1f7WSa2aSziQJm9HbgrZ2tEY9fPSY35vcuc1vw8nHFaGgLwmMVIDDlFRFRVppb4URvt4idTUFNx5/75gGUuUT0zbGiLRiC+1D7YHi+DWcP9qCXu2PkoNAZmTtJbkUnx/WJKJOoDbSmMu0dEXVh+8M4tXTaRImiJX1rWConD2k5NVdmUiIxmElEGU+tY82KNjXum5qPM17fj88OtMEuAr89Ig9ji+K3gtLLaZVERFkt3yHipeOKseDVffj+oLYUsruag9jV7I94bP0uPx76shFAx0zowwvtuPGIXOxrDuKhLxuwcbdf6q10DUoQEZmd0gCmKAAi73lEpsD2h3GclEGpkj4rM9XvL6lMg0uZj8FMIsp4apUtg5mp0cdjwbqTSrCzsR1FTlHX3mZERERa9Mux4sOFpTj/PzX45w/NMb9fWxB4b68fx7+8T/VYVmtElEmU+lScQ0hkHowjGGdjIJhSJF1WZnLPTEo1BjOJKOOpzXByMc1sSvX2WNQPIiIiMkgQBNx/VD5m9XHgk/1tGFloQ75dxDlvHpDd7zIecu0c3SeizKHUZWIAgMg8GEcwjiszKVX0rcxMYTBTw3U6OMRHCcRgJhFlPLXGPCtaIiKizOawCDhzkAdnDup67MVji3DVxlpsqgnE/XxOCzC1zB739yUiShWlPhUDAETmIbfCi0FOdfyOKFX0rLEwe5pZBwsSJRCbnESU8dT2b3GxoiUiIso6k0odePOEElw2wts5samv14LDi2w4otiGcoOZA8o9Fjw2vQAVXs4bJaLMYVFYCZLKVSJEFElu5RSHPdQJXGVOKaJUx/aUyi2atFwmg5mUSOxhE1HGU5vhxHzuRERE2clhEXDL+DzcOC4XoVD04MCBlnY8/nUTHv+6Edsb22XfZ2KJHcdWOjG7jxOH+aywcmCfiDIMV2YSpQe5JoiePfmIKLn0DEumcqcs7plJqcZgJhFlPPU0s6xoiYiIspncqqICpwVXjc7BVaNz0BYM4cO9fmxraMemmjY0toUwvbcDc8qdbEsQUcZTDmbyHkhkFkwzS5R+rDomG6RyZabapAgBqU2DS5mPwUwiynhqnWtXKqc1ERERUVqwiQImljowsTTVV0JElHxKA5g2dqeITENu+ENkgIHItPRkOEjtnpnKzzssTNdMicWqjIgyHldmEhERERERGac00Mo9M4nMQ254Q8/KLyJKLj3VaCrrXI6vUqoxmElEGU9tI20XK1siIiIiIiJZ3DOTKD3IlVUOexCZl57JBikNZqqcm/tlUqKxyUlEGU+tLnUyzSwREREREZEsUSnNLFdmEpmGXFlljIHIvNIlzaxadc+VmZRoDGYSUcZTDWaysiUiIiIiIpKlNNDKlZlE5iE3vME5B0TmpWdlpp1pZimLsclJRBlPqVEgALDzTkhERERERCRLaXySKzOJzEM+mMlySmRWFh3jkqmcQMSVmZRqHMInooyn1ChwWQUIbNQTERERERHJsij0mbhrB5F5MM2sunMGu6Mem1vhTMGVEHXQUz5Tumemyvip05KkC6GsxWAmEWU8pUaBgxUtERERERGRIq7MJEoPcmWV6aC7LB7ojsjQJQA4Z1B0gJMoWaw66tFU7pnJNLOUatZUXwARUaIpzRxysaIlIiIiIiJSZFEYaE3lwCoRRZIb/lBbUZVNJpU68NzcIjzxdSNa20M4c5Ab8ypcqb4symJaMxxYhNSmjM5V2afLwclNlGAMZhJRxlOKVzoZzCQiIiIiIlKk1G3Ss6KEiBIrGJJ+nEMfkaaWOTC1zJHqyyACoL185qkEExOtr1c5vR1XZlKicf5cDD766CMsWrQIlZWV6N27N2bPno2VK1em+rKIqAeldCoMZhIRERERESlTWjXC9JVE5tEeko5mcs4BkXkpZT/obmBuatelFTlFeBUaBBxjpUTjykyD1q5di4ULF8LpdGLBggXwer144YUXcN5552H79u247LLLUn2JRHSIUjoVp9ZcDkRERERERFlKqU/FPTOJzKM9KP0408wSmZfWocmBeakN5QiCgL45FnxRE5B83qG8cJMoZpw/Z0AgEMAVV1wBURSxevVq/OlPf8Ktt96K9evXY+DAgbjllluwbdu2VF8mER1i4cpMIiIiIiIiw5T6VJwfSmQe7XJpZjkCTGRaWtO1D0pxMBMA+uXIXwPTzFKisSozYO3atfjhhx9w6qmnYtSoUZ2P5+XlYcmSJfD7/VixYkUKr5CIuuOemURERERERMYpdZu4MpPIPOTSzHLog8i8tJbPVK/MBID+DGZSCjGYacD69esBADNnzox6btasWQCADRs2JPWaiEieXRQgt0e2zKRFIiIiIiIiOoRpZonSg+zKTKaZJTItrTFAc6zMlM8lywUjlGipLwFpaPPmzQCAqqqqqOdKS0vh9Xrx/fffq75PS0tL3K+NlPn9/oj/p+wxpcSGN3e1RT2eZw2xLIJlg0gLlhMieSwfROpYTiiduUIhWAUgIBEoEULthvtULBdE6vSUk5bW6HEPABBCQY59UMbJpDrEIshPRgAAUQB62QJoaWlP3kVJ6O2Q2ZgXgCWG9gAljpnLidPp1HU8g5kG1NfXAwByc3Mln8/Jyek8RsnOnTvR3p7aG1C22r17d6ovgZLszGIRb+6KvkG6A42orq5N/gWZFMsGkTqWEyJ5LB9E6lhOKF3NLrLjlb3Rw0gufz2qqw/E9N4sF0TqtJSTvgEBgCvq8eMLGlFdrT5WSZSOMqEOKbQ5sccvn0Sz0hnEnp3bk3hF0rwt0vcYALC31KG6en9yL4g0M1s5sVgsGDBggK7XMJiZQr179071JWQdv9+P3bt3o7S0FHa7PdWXQ0lUUQH8rKURf/m2a4aQKABnDi9ERZEthVdmDiwbROpYTojksXwQqWM5oXT357IgznzrIN7fF+h8zCYCZ44oQYVC2jklLBdE6vSUkwoAE7fW4Z29XeW00CFg8ahe8FiZApIySybVIafsbcRDX8uvajz7MC8qKoqTeEXSKgBM3laHt/cEIh53W4FFw0tQ7jHWHqDEyaRywmCmAeEVmXKrLw8ePAifz6f6PnqX0VL82O12fv9ZaNlkBwpcB/HcD03Id4i4YmQOppZLzybKViwbROpYTojksXwQqWM5oXTldAIr5zlx7+cNeHZzE4pdFvzuiFwMK3bE/N4sF0TqtJaTFXPsuPqdWry9y4+h+VbcemQeCr2cxE2ZKxPqkFsnOmC31eOFLc3Y19KVyrXUJeL0gW78anQORJPsffvU7I57zFs7W9HSHsLoQht+MzYXAwtjbw9Q4mRCOWEw04DwXpmbN2/GmDFjIp7bvXs3GhoaMHbs2BRcGREpsYgCfjMuF78ZJ50imoiIiIiIiOR5bSKuPzwX1x/OPhWRWeU7RDwyvSDVl0FEOlhFAbeMz8Mt4/NSfSmqeI+hVJFPxEyypkyZAgB44403op5bs2ZNxDFEREREREREREREREREZAyDmQZMnz4d/fr1w7PPPotPP/208/G6ujrcfffdsNvtOOOMM1J4hURERERERERERERERETpj2lmDbBarbj33nuxcOFCzJ8/HwsWLIDX68ULL7yA6upq3HLLLejbt2+qL5OIiIiIiIiIiIiIiIgorTGYadC0adPwyiuv4Pbbb8fKlSvR1taGYcOG4Xe/+x0WLFiQ6ssjIiIiIiIiIiIiIiIiSnsMZsZg3LhxePbZZ1N9GUREREREREREREREREQZiXtmEhEREREREREREREREZEpMZhJRERERERERERERERERKbEYCYRERERERERERERERERmRKDmURERERERERERERERERkSgxmEhEREREREREREREREZEpMZhJRERERERERERERERERKbEYCYRERERERERERERERERmRKDmZR1LBZLqi+ByJRYNojUsZwQyWP5IFLHckIUjeWCSB3LCZE0lg0idZlSToTa2tpQqi+CiIiIiIiIiIiIiIiIiKgnrswkIiIiIiIiIiIiIiIiIlNiMJOIiIiIiIiIiIiIiIiITInBTCIiIiIiIiIiIiIiIiIyJQYziYiIiIiIiIiIiIiIiMiUGMwkIiIiIiIiIiIiIiIiIlNiMJOIiIiIiIiIiIiIiIiITInBTCIiIiIiIiIiIiIiIiIyJQYzKSF27tyJ+++/H6eccgpGjBiB4uJiDB48GGeffTY++OADydfU19fj+uuvx4gRI1BSUoKRI0fihhtuQENDg+TxwWAQDz30ECZPnoyysjJUVVXh5z//ObZs2RJ17O233w6fz6f4v0svvVTXZ9RzvXv37sXdd9+Nc845B6NGjeo8J2Uflo1I8+fPVz3/008/rev8lP7MVk4AIBAI4Mknn8ScOXNQVVWF8vJyTJgwATfeeCN2796t+zOyDiGjWD4isR4hKWYsJy0tLbjzzjsxYcIElJaWom/fvjj11FPxzjvvGPqMrEdIL5aLSKw/SEqiy4nR+/FHH32ERYsWobKyEr1798bs2bOxcuVKQ5+R9QcZwbIRiXUISTFjOfnHP/6BK6+8EjNmzEBJSQl8Ph+eeuopw5+xtbUVd9xxB8aOHYvS0lIMGTIEV1xxBfbu3Rt1bFNTE/785z/j/PPPx/jx45Gfnw+fz4etW7caPr9QW1sbMvxqIhk33XQT7rnnHvTv3x9Tp05FUVERNm/ejNWrVyMUCuHRRx/FggULOo9vbGzEvHnz8Nlnn2HmzJkYNWoUPv30U7zxxhsYO3YsXnrpJTidzohzXH755Vi+fDmGDh2KY445Bj/++CP+9a9/wePx4PXXX0dVVVXnsevWrcP69eslr/XJJ5/Ezp078fjjj+OUU07R9Pn0Xu+6detwwgknQBAEVFVVYefOnWhqakJtba2Ob5UyActG5PU+9dRT2LZtW9T7BAIB3H333RBFEZ9//jl69eql6fyUGcxWTgDg7LPPxqpVqzBgwADMmjULDocDH3zwAd555x2UlZXhP//5D0pLSzV9PtYhFAuWD9YjpM5s5aSlpQUnnXQS3n33XQwfPhzTpk1DXV0dVq1ahaamJixfvhzz58/X/PlYj5ARLBesP0hdosuJkfvx2rVrsXDhQjidTixYsABerxcvvPACqqurccstt+Cyyy7T/PlYf5BRLBusQ0idGcvJyJEjUV1djcLCQrjdblRXV+O+++7DWWedpfvzBYNBLFq0CGvWrMH48eMxZcoUbN68GS+++CL69u2L119/HUVFRZ3Hb926FaNHjwYAVFRUoKGhATU1Nfjkk0/Qt29f3ecHGMykBHnhhRdQUFCAqVOnRjz+9ttv46STToLH48HXX38Nh8MBALjttttw55134sorr8RNN93UeXz4JnDjjTdiyZIlnY+vXbsWJ554IiZPnox//etfsNvtAIDXXnsNixYtwsyZM/Hcc8+pXueePXswbNgw5Obm4quvvup8HzV6r3fPnj349ttvMWrUKOTk5GD8+PH49ttv2QDMQiwbkdcr5/nnn8e5556LefPmcTZbFjJbOfnwww8xa9YsjBs3Dq+88gpsNlvnc9dccw0eeughXHfddbjmmms0fT7WIRQLlg/WI6TObOXkz3/+M2644QacfPLJeOyxx2CxWAAAP/zwA6ZPnw673Y7//ve/yMnJ0fT5WI+QESwXrD9IXaLLid77cSAQwPjx47Fz50689tprGDVqFACgrq4Os2bNwrZt2/DBBx+gsrJS0+dj/UFGsWywDiF1ZisnAPDWW29hwIABqKysxB//+Ef87ne/MxzM/Nvf/oZLL70Up556Kh555BEIggAA+Mtf/oIlS5bgpz/9Ke65557O4xsaGvD+++9jzJgxyM/Px8KFC7FmzZqYgplMM0sJceKJJ0YVXACYPHkyjjrqKNTW1mLTpk0AgFAohCeffBJerxe//vWvI47/9a9/Da/Xi+XLl0c8Hv73//7v/0YEWebMmYOpU6fijTfeQHV1tep1rlixAoFAAKeffrrmYI2R6y0pKcGUKVM0d8Qoc7FsLJd5daS//e1vADpW+1D2MVs5CadGmzFjRkSgBgDmzZsHANi3b5+mz8Y6hGLF8sF6hNSZrZy89NJLAIBrr722M2ADAP3798dZZ52Fffv24fnnn9f02ViPkFEsF6w/SF2iy4ne+/HatWvxww8/4NRTT+0M1gBAXl4elixZAr/fjxUrVmh6L9YfFAuWDdYhpM5s5QTo6KdrDeqrCV/PjTfe2BnIBIDzzjsP/fr1wzPPPIPm5ubOx71eL44++mjk5+fH5fwAg5mUAuGBrnCHZfPmzfjxxx8xYcIEeDyeiGM9Hg8mTJiALVu2YPv27Z2Pr1+/Hh6PBxMnTox6/1mzZgEANmzYoHotTz75JADgnHPO0Xz9Rq6XSAuWjQ47duzAmjVrUFZWhrlz52o+P2WHVJSTIUOGAOiY0dbW1hZx/CuvvAIAmD59uqbrZx1CicTy0YH1CClJRTkJ7x0rNQM5/NjatWs1XT/rEUoElosOrD9ISTzKiV7hLWFmzpwZ9Zye/n2yrpeyE8tGB9YhpCQV5SSeWlpa8MEHH2DQoEFRwVFBEHD00UejsbER//3vfxN6HQxmUlJVV1fjrbfeQllZGYYPHw6go/ACwIABAyRfE348fFxjYyN27dqFvn37RszglDtezttvv43vvvsO48ePx9ChQzV/Br3XS6QFy0aXp556CsFgEIsXL4bVatV8fsp8qSonw4cPx4UXXogPP/wQEyZMwNVXX40bbrgB8+bNwxNPPIHrrrsOxx9/vKbPwDqEEoXlowvrEZKTqnJSWFgIoGPfmJ7Cj2m977MeoXhjuejC+oPkxKOcGBF+bc/9ygGgtLQUXq8X33//va73Yv1B8cSy0YV1CMlJVTmJpx9++AHBYDDl18tgJiVNW1sbLrjgArS2tuKmm27q7OTU19cD6EgFICU3NzfiuPD/hx9XO15OeOWZ3qX/eq+XSA3LRpdQKISnnnrK0Pkps6W6nCxduhS33347qqur8fDDD+PPf/4z3nnnHcyYMQMnnHCC5s/BOoQSgeWjC+sRkpPKcjJ79mwAwJ133on29vbOx7ds2dL5e62rq9P0OViPUDyxXHRh/UFy4lVOjFArWzk5OZrfn/UHxRvLRhfWISQnleUknsxyvZwmQEkRDAZx8cUX4+2338a5556LM844I6XXU19fj+effx5erxcLFiyIev6pp57Ctm3bIh6bP39+RB52onhg2Yi0du1abN26FVOmTJGd7UPZJ9XlJBgM4le/+hX++c9/4s4778Rxxx0Hl8uFd999F9dccw3mzJmDVatWYezYsQBYh1BysXxEYj1CUlJdTi6++GKsXLkSzz33HL755htMmzYNdXV1WLVqFSoqKvDFF19AFLvmGbMeoWRguYjE+oOkpLqc6MX6g5KFZSMS6xCSkm7l5MUXX8Rnn30W8djUqVNx1FFHpeiKojGYSQkXDAZxySWX4JlnnsFpp52GP/7xjxHPhyP3crMue862UYv0q83OAYDnnnsOTU1NOPvss+H1eqOe//vf/x6VW72yshKjRo3Sfb1Eclg2ohnZq5MymxnKyd/+9jc88cQTWLp0Kc4777zOx+fMmYOysjIcddRRuPnmm/Gvf/0LAOsQSh6Wj2isR6gnM5STnJwcvPLKK7jzzjvx4osv4pFHHkFxcTHOO+88zJ07F8cddxyKioo6j2c9QonGchGN9Qf1FO9yYoRa2Tp48CB8Pl/nv1l/UDKwbERjHUI9maGc6LV69WqsWLEi6vGjjjrKNNfLYCYlVHgGwtNPP41TTz0VDzzwQMTsSqArv7lcLvPw4+HjPB4PysrKsHXrVrS3t0ftydHzeCnLly8HIF/JrF69Wva1eq+XSArLRrTa2lq8+OKLyMvLw0knnSR7HsoeZiknr732GgBIzkYbOXIkfD4fPv30087HWIdQMrB8RGM9Qj2ZpZwAgM/nw2233Ybbbrst4vFwSrLDDz+88zHWI5RILBfRWH9QT4koJ0aEX7t582aMGTMm4rndu3ejoaGhM/sFwPqDEo9lIxrrEOrJLOVErwceeAAPPPCA5HP9+vWDKIopv17umUkJ073gLliwAA899FBUpwbo+JH36tUL7777LhobGyOea2xsxLvvvou+ffuivLy88/EpU6agsbER77zzTtT7rVmzBgAwefJkyev64osv8NFHH2Ho0KEYP3687s9l5HqJumPZkC4b//jHP9DS0oLTTjsNTqdT9/kps5ipnPj9fgDAvn37oo5vbW1FQ0MDHA6Hps/FOoTigeWD9QipM1M5UfLMM88AABYuXKjpeNYjFAuWC9YfpC6R5USvKVOmAADeeOONqOfC5Sp8jBrWHxQrlg3WIaTOTOUknlwuF8aNG4dvv/02KmVzKBTCm2++CY/HEzERLREYzKSECC+lfvrpp3HyySfj4Ycfliy4ACAIAs4++2w0NDRg2bJlEc8tW7YMDQ0NOPfccyMeD//71ltv7RxEAzpWB6xfvx4zZ85EZWWl5PnCS/9/8pOfGPpsRq6XKIxlQ75sxHp+yhxmKycTJ04EANx9991obW2NeK+lS5ciEAho3kOAdQjFiuWD9QipM1s5AaTToN1333146623cPzxx0esHlDCeoSMYrlg/UHqEl1O9Jo+fTr69euHZ599NiLTRV1dHe6++27Y7XbNe7Cx/qBYsGywDiF1Zisn8Ra+nptvvhmhUKjz8ccffxxbtmzBokWL4HK5EnoNQm1tbUj9MCJ9br/9dtxxxx3wer248MILJQtu942WGxsbMXfuXHz++eeYOXMmRo8ejU8++QRvvPEGxo4di9WrV0cVhssvvxzLly/H0KFDccwxx2DXrl1YuXIlPB4PXnvtNQwcODDqnH6/H0OGDEFDQwO++uorFBQUGPp8Rq73oosu6vzv1atXo76+HosXL+587Fe/+hUGDx5s6HoofbBsRF8vAHz88ceYMWMGRo8ejf/85z+Gzk2Zw2zlpL6+HrNnz8Y333yDyspKzJ49G06nE++++y4+/PBDFBUV4fXXX0e/fv00fT7WIRQLlg/WI6TObOUEAMrLyzF16lRUVVVBEASsX78eH3/8MQ4//HCsXLkyYl8nNaxHyAiWC9YfpC4Z5UTv/Xjt2rVYuHAhnE4nFixYAK/XixdeeAHV1dW45ZZbcNlll2n+fKw/yCiWDdYhpM6M5WT58uXYuHEjAGDTpk345JNPMHHiRPTv3x8AMGnSJM17vQaDQSxatAhr1qzB+PHjMWXKFHz//fdYtWoVKisrsWbNmoj9zgHgN7/5Dfbv3w8AeOutt/Djjz/ixBNPhMfjAdCxzdmkSZM0nR9gMJMS5KKLLpLcMLa7++67D2eddVbnv+vq6rB06VKsWrUKu3fvRmlpKU4++WRcc801yMnJiXp9MBjEww8/jCeeeALff/89PB4PZsyYgRtuuKGzQPa0cuVKnHfeeTjllFPw+OOPx/QZ9V6vWkds1apVmlcuUPpi2Yi+XgC46qqr8Nhjj+Guu+7Cz3/+85jOT+nPjOWkrq4Of/rTn/DSSy9hy5YtaG9vR+/evTFr1ixcddVV6NOnj67PyDqEjGL5YD1C6sxYTpYsWYJ169Zhx44dEAQBVVVVWLRoEX75y19qTsXcHesR0ovlgvUHqUtGOTFyP/7www9x++2347333kNbWxuGDRuGSy65BAsWLND+4ZJ4vZR5WDZYh5A6M5YTtWtavHix7D6ZUlpbW/HHP/4R//jHP7Bjxw7k5+dj7ty5+M1vfoOSkpKo40eOHInq6mrZ9+v5fahhMJOIiIiIiIiIiIiIiIiITIl7ZhIRERERERERERERERGRKTGYSURERERERERERERERESmxGAmEREREREREREREREREZkSg5lEREREREREREREREREZEoMZhIRERERERERERERERGRKTGYSURERERERERERERERESmxGAmEREREREREREREREREZkSg5lEREREREREREREREREZEoMZhIRERERERERERERERGRKTGYSURERERERERERERERESmZE31BRARERERERGFzZ8/Hxs2bIh4zOFwIDc3FyUlJRg1ahSOOuoonHzyyXC73XE991NPPYVt27Zh/vz5GDVqVFzfm4iIiIiIiIxhMJOIiIiIiIhMp7y8HOXl5QCAQCCA+vp6bN68GV988QVWrFiBa6+9FjfddBN+9rOfxe2cf//737FhwwZUVlYymElERERERGQSDGYSERERERGR6Zx11lm47rrrIh5ra2vDe++9h//7v//Dyy+/jCVLluCbb77B0qVLU3SVRERERERElGjcM5OIiIiIiIjSgs1mw5QpU7BixQrceOONAIAHH3wQq1atSvGVERERERERUaIwmElERERERERpZ8mSJZgxYwYA4I477oh47pNPPsGtt96KuXPnYtiwYSguLkb//v1xwgknYMWKFQiFQhHHr1u3Dj6fr3OvzksuuQQ+n6/zf/Pnz486/8cff4wLL7wQI0eORGlpKSorK3HsscfiqaeeQjAYTMyHJiIiIiIiykJMM0tERERERERp6YILLsBbb72Fzz//HNXV1aioqAAAXHHFFfj444+Rm5uLsrIylJaWYteuXVi3bh3WrVuHNWvW4NFHH+18n9zcXEycOBGbNm1CfX09qqqqUFxc3Pn8sGHDIs5777334re//S1CoRBycnIwaNAg1NTUYOPGjdi4cSNeeuklLF++HBaLJTlfBBERERERUQZjMJOIiIiIiIjS0qRJkyAIAkKhEN5///3OYOYll1yC4cOHRwUhP/roI/ziF7/As88+i2OPPRYLFy4EAIwePRqvvPIK5s+fjw0bNmDJkiU466yzJM/53HPP4cYbb0ReXh6WLl2K008/HaIodr7/+eefj9WrV+Ouu+7C1VdfncBPT0RERERElB2YZpaIiIiIiIjSks/nQ05ODgBgz549nY8vWrQoKpAJAGPHjsVdd90FAFixYoXu8wUCAfz2t78FAPzf//0fFi9e3BnIDL//X/7yFwiCgPvuuw9+v1/3OYiIiIiIiCgSV2YSERERERFR2vJ6vaivr0dDQ0PE49u2bcNzzz2HTz75BPv37+8MLLa2tgIAPv30U93n+uCDD1BdXY3S0lKccMIJkseMGTMGFRUV2LZtGz7++GMceeSRus9DREREREREXRjMJCIiIiIiorQVDmLm5uZ2Pvbggw/ixhtvVFwZeeDAAd3n+vzzzwEAzc3NmDdvnuxxNTU1AIAdO3boPgcRERERERFFYjCTiIiIiIiI0lJNTQ3q6+sBACUlJQCA9957D9deey0A4Be/+AUWL16MAQMGICcnBxaLBVu2bMGYMWMQCAR0n6+2thYAUF9fj3feeUf1+KamJt3nICIiIiIiokgMZhIREREREVFaevvttzv/e/z48QC69sI86aSTsGzZsqjXGFmRGebxeAAAkydPxksvvWT4fYiIiIiIiEg7MdUXQERERERERGTEQw89BAAYPXo0+vTpAwDYunUrgI6Ao5T3339f9v0EQVA837BhwwAAX331FYLBoO7rJSIiIiIiIv0YzCQiIiIiIqK0c/fdd2Pt2rUAgGuuuabzcZfLBQDYvXt31GtaWlrw8MMPy76n2+0G0LEnppRJkyahV69eOHDgAJ588knD105ERERERETaMZhJREREREREaSEQCODtt9/G4sWLcfPNNwMALr30Uhx33HGdx0yZMgUA8Oijj+Kjjz7qfHzv3r0499xzsWPHDtn379+/PwBg3bp1kisv7XZ753mvvvpq3H///VGBz4aGBjz//PO47LLLDH5KIiIiIiIi6k6ora0NpfoiiIiIiIiIiABg/vz52LBhA8rLy1FeXg4AaG9vR319PbZt29YZPMzLy8PNN9+Mc889N+L1jY2NmDlzJr7++msIgoCqqiq43W58+eWXEEURy5Ytw+WXXw4AqK2tjXjthx9+iDlz5iAYDKJ3796orKyExWLByJEjsXTp0s7jHnjgAdxwww0IBAJwOp0YOHAgnE4n9u/fj61btyIYDKKiogKfffZZAr8pIiIiIiKi7MBgJhEREREREZlGOJjZnd1uR25uLkpLSzFq1ChMmzYNJ598cmdK2Z4OHDiAW2+9FS+99BL27duHgoICTJ48GVdddRVycnIwevRoANHBTAB4+eWXcd999+Gzzz7DwYMHEQwGMWXKFKxevTriuG+++QaPPPII1q5di+3bt6O1tRUFBQUYPHgw5syZg+OPPx5VVVXx+VKIiIiIiIiyGIOZRERERERERERERERERGRK3DOTiIiIiIiIiIiIiIiIiEyJwUwiIiIiIiIiIiIiIiIiMiUGM4mIiIiIiIiIiIiIiIjIlBjMJCIiIiIiIiIiIiIiIiJTYjCTiIiIiIiIiIiIiIiIiEyJwUwiIiIiIiIiIiIiIiIiMiUGM4mIiIiIiIiIiIiIiIjIlBjMJCIiIiIiIiIiIiIiIiJTYjCTiIiIiIiIiIiIiIiIiEyJwUwiIiIiIiIiIiIiIiIiMiUGM4mIiIiIiIiIiIiIiIjIlBjMJCIiIiIiIiIiIiIiIiJTYjCTiIiIiIiIiIiIiIiIiEzp/wOCeDPANcU14AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 2000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 5))\n",
    "plt.title(\"Electric Power Consumption Over Time\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Total Consumption (kWh)\")\n",
    "plt.plot(consumptions_df[\"total_consumption\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f0cfa42-9fee-4263-969f-14aad91032c2",
   "metadata": {},
   "source": [
    "#### Observations and Insights About the Graph:\n",
    "\n",
    "- **Seasonality**: The graph displays a recurring one-year pattern, indicating seasonal trends. **Utilizing time features could be usefull**.\n",
    "- **Trend**: The overall trend seems stable, with no clear long-term increase or decrease. **This suggests a relatively constant mean over the years**.\n",
    "- **Variance**: The **consistency in the amplitude of seasonal peaks** and troughs suggests suitability for models like ARIMA.\n",
    "- **Outliers**: Several spikes are notable. Addressing these outliers may be necessary."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7821f73f-9200-44cc-8527-76de3beccc7a",
   "metadata": {},
   "source": [
    "#### Checking missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "416f55b2-07af-43e1-bd22-7326d8da493e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(consumptions_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e9eb13b-53a7-45a1-93a4-aa9be0e3145b",
   "metadata": {},
   "source": [
    "There is no missing values on the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6f2686a-6709-4d3b-b139-bbd338308ba0",
   "metadata": {},
   "source": [
    "#### Visualizing Electric Power Consumption Trends Over Time"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3c3dfd1-a432-4e05-8db5-d513921a2d9e",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "<i class=\"fa fa-info-circle\"></i> &emsp; \n",
    "The metric <b><code>ρ (rho)</code></b> quantifies the association between a qualitative variable (e.g., day of the week, month) and a quantitative variable (e.g., total electricity consumption). This metric is often referred to as <b>ANOVA's F-statistic</b> when used in the context of comparing variances among groups. It's calculated as the ratio of the within-groups sum of squares to the total sum of squares, reflecting how much the group means deviate from the overall mean. The formula for ANOVA's F-statistic is:\n",
    "\n",
    "$$\n",
    "\\rho = \\frac{\\sum_{\\ell=1}^{L} n_{\\ell} (\\bar{T}_{j(\\ell)} - \\bar{T})^2}{\\sum_{i=1}^{n} (T_i - \\bar{T})^2}\n",
    "$$\n",
    "\n",
    "<b>Interpretation:</b> A <span style=\"color:green\"><b>ρ close to 0</b></span> indicates a <span style=\"color:green\"><b>negligible effect</b></span> of the qualitative variable on the quantitative measure, whereas a <span style=\"color:green\"><b>ρ close to 1</b></span> suggests a <span style=\"color:green\"><b>substantial impact</b></span>. Understanding ρ helps in discerning the significance of different categorical levels in explaining the variance of the quantitative data.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7898357-2d80-43df-8cdb-f74b9e2ebb18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to calculate the rho association metric\n",
    "def calculate_rho(grouped_data, overall_mean):\n",
    "    sum_of_squares_within = sum(\n",
    "        grouped_data.apply(lambda x: len(x) * (x.mean() - overall_mean) ** 2)\n",
    "    )\n",
    "    total_sum_of_squares = sum(\n",
    "        (consumptions_df_copy[\"total_consumption\"] - overall_mean) ** 2\n",
    "    )\n",
    "    rho = sum_of_squares_within / total_sum_of_squares\n",
    "    return rho\n",
    "\n",
    "\n",
    "# Copy the data for transformations\n",
    "consumptions_df_copy = consumptions_df.copy()\n",
    "\n",
    "# Assuming consumptions_df_copy index is a datetime index if not convert it before running this\n",
    "# Create time series features based on time series index\n",
    "consumptions_df_copy[\"dayofweek\"] = consumptions_df_copy.index.dayofweek\n",
    "consumptions_df_copy[\"month\"] = consumptions_df_copy.index.month\n",
    "consumptions_df_copy[\"quarter\"] = consumptions_df_copy.index.quarter\n",
    "consumptions_df_copy[\"year\"] = consumptions_df_copy.index.year\n",
    "\n",
    "# Overall mean of total consumption\n",
    "overall_mean = consumptions_df_copy[\"total_consumption\"].mean()\n",
    "\n",
    "# Create a figure with multiple subplots\n",
    "fig, axes = plt.subplots(2, 2, figsize=(20, 8))\n",
    "\n",
    "# List of categories\n",
    "categories = [\"dayofweek\", \"month\", \"quarter\", \"year\"]\n",
    "category_labels = [\n",
    "    [\"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\", \"Sun\"],\n",
    "    [\n",
    "        \"Jan\",\n",
    "        \"Feb\",\n",
    "        \"Mar\",\n",
    "        \"Apr\",\n",
    "        \"May\",\n",
    "        \"Jun\",\n",
    "        \"Jul\",\n",
    "        \"Aug\",\n",
    "        \"Sep\",\n",
    "        \"Oct\",\n",
    "        \"Nov\",\n",
    "        \"Dec\",\n",
    "    ],\n",
    "    [\"Q1\", \"Q2\", \"Q3\", \"Q4\"],\n",
    "    range(consumptions_df_copy[\"year\"].min(), consumptions_df_copy[\"year\"].max() + 1),\n",
    "]\n",
    "\n",
    "# Plot for each category\n",
    "for i, (category, labels) in enumerate(zip(categories, category_labels)):\n",
    "    ax = axes[i // 2, i % 2]\n",
    "    sns.boxplot(\n",
    "        data=consumptions_df_copy,\n",
    "        x=category,\n",
    "        y=\"total_consumption\",\n",
    "        ax=ax,\n",
    "        palette=color_pal,\n",
    "    )\n",
    "    ax.grid(True, linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "    # Calculate the rho value for the category\n",
    "    grouped = consumptions_df_copy.groupby(category)[\"total_consumption\"]\n",
    "    rho = calculate_rho(grouped, overall_mean)\n",
    "\n",
    "    # Add the rho value as text on the plot\n",
    "    ax.text(\n",
    "        0.95,\n",
    "        0.95,\n",
    "        f\"ρ = {rho:.2f}\",\n",
    "        transform=ax.transAxes,\n",
    "        horizontalalignment=\"right\",\n",
    "        verticalalignment=\"top\",\n",
    "        fontsize=12,\n",
    "        bbox=dict(facecolor=\"white\", alpha=0.5),\n",
    "    )\n",
    "\n",
    "    # Add a red line for the overall mean\n",
    "    ax.axhline(overall_mean, color=\"red\", linestyle=\"--\")\n",
    "\n",
    "    ax.set_title(f\"Electric Power Consumption by {category.capitalize()}\")\n",
    "    ax.set_xlabel(category.capitalize())\n",
    "    ax.set_ylabel(\"Total Consumption (kWh)\")\n",
    "    ax.set_xticklabels(labels)\n",
    "    ax.tick_params(axis=\"both\", which=\"major\", labelsize=10)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83438b66-e2b7-44c7-879c-b17fb850f139",
   "metadata": {},
   "source": [
    "#### Observations and Insights About the Graph:\n",
    "\n",
    "- **Seasonal Trends**: Significant during summer (June-August) with higher consumption, as indicated by a moderate ρ of 0.40 in those months. This suggests a potential feature for modeling peak usage periods.\n",
    "- **Weekly Patterns**: Minimal variation with a ρ of 0.04, indicating day of the week may have less predictive power.\n",
    "- **Yearly Consistency**: Stable annual consumption (ρ of 0.04) suggests year feature may not be a strong predictor in the model.\n",
    "- **Quarterly Influence**: A noticeable increase in Q3 aligns with seasonal trends and should be considered in the model.\n",
    "- **Outliers**: Presence of outliers might necessitate robust or regularized models to prevent overfitting on these anomalies."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8991d661-1be7-40c7-a3ad-eaca2000c204",
   "metadata": {},
   "source": [
    "#### Analyzing the Linear Correlation between the Target and the Features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2375e94-22f8-4ae0-86c4-750e46764a47",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "<i class=\"fa fa-info-circle\"></i> &emsp; \n",
    "The correlation coefficient, denoted as <b><code>r</code></b>, measures the strength and direction of a linear relationship between two quantitative variables. Its values range from <b>-1</b> to <b>1</b>, where:\n",
    "\n",
    "<ul>\n",
    "<li><b><code>r = 1</code></b>: There's a perfect positive linear relationship between the variables.</li>\n",
    "<li><b><code>r = -1</code></b>: There's a perfect negative linear relationship between the variables.</li>\n",
    "<li><b><code>r = 0</code></b>: No linear relationship exists between the variables.</li>\n",
    "</ul>\n",
    "\n",
    "The formula to calculate the sample correlation coefficient, known as <b>Pearson's correlation coefficient</b>, is:\n",
    "\n",
    "$$\n",
    "r = \\frac{\\sum (x_i - \\bar{x})(y_i - \\bar{y})}{\\sqrt{\\sum (x_i - \\bar{x})^2\\sum (y_i - \\bar{y})^2}}\n",
    "$$\n",
    "\n",
    "<b>Interpretation:</b> A <span style=\"color:green\"><b>r close to 1 or -1</b></span> indicates a <span style=\"color:green\"><b>strong linear relationship</b></span> between the variables, which means as one variable increases, the other variable tends to also increase (for <b>r = 1</b>) or decrease (for <b>r = -1</b>). Conversely, an <span style=\"color:green\"><b>r close to 0</b></span> suggests a <span style=\"color:green\"><b>weak linear relationship</b></span>, indicating that changes in one variable do not reliably predict changes in the other variable. Understanding <b><code>r</code></b> is crucial for exploring the associations between variables in your data and for feature selection in predictive modeling.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6c78aaac-9d3c-45a4-ba70-13cc850ab379",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XQkKCwXovLy+joD0jBwcHPvroIwCOHj1a6IJTpVLJvHnzMu26tmTJEmJjY3F1dWXOnDmZPv0ZNmyYvivRihUrDNaFh4cD2sREVjfrzs7OedkFUUAkcBeiiIqLi9P/d1Y/UDm1f/9+/X9nlalu0qQJFSpUMPrMs0qWLImfn1+Ovju7stu2bQO0Wc7sHk/rMlJnzpwxCBZzS6PR8ODBA27cuMHly5f1/3TfX5CPj8+ePasf+DhgwIBMA1YzMzMGDRoEaLtOnTp1KtM6s+rTnDEbHhQUlPsNzkTv3r0xNzcnMjKSPXv2ANouDH/99Ve225Sd2NhYgoKCCAwM1J8b3d9BbGxsvg2kzE07zs706dP1T2Y++OAD3nrrLf12zp49mxIlSuS5bt3foq+vL82bN8+03JAhQ4w+U5js3LkTtVqNubk5nTt3zrKs7m89NTWVs2fPZlk2Pj6eO3fuGLSXjH9Xum6HhUXDhg0NnkI8S3dNbNeuXbbXf91x0nXH0ilevDigvdGNiop6jq0VL5J0lRGiiLKzs9P/97PZprwIDAwEwNPTk5IlS2ZZtl69ely7do2QkBAeP35sMgNetWrVHH93dmV1P8qHDx/OcT/x1NRUoqOjc/00YufOnfz2228cOXIkyzd/FmSGTncuAJNPPjKqV6+e/r8vX75Ms2bNTJbT3WyZkjGbnPGG8Hm5urrSpk0bduzYwerVq+nYsSP79u0jLCwMpVJJ3759c1VfcHAwc+fOZceOHZnOjqITFRWVZeCTU7lpx9mxtbVl8eLFtGvXjtjYWHbu3Alon+T06NEjz/UmJyfru1Vl1148PDzw8fEhODg4y+4r+WnAgAEmB8yaovtbT01Nxd3dPcffocseZxQVFcX8+fPZvHkzN2/ezPIpTGHLuFerVi3TdWq1Wn+jsWrVqhy/ffjZYzRw4EAOHz7MrVu3qF27Nl27dqVly5Y0atTI5Ow1onCQwF2IIirj48tnZ1nJi+joaIAczcaScUaV6Ohok4F7bl7ekl3ZyMjIHNeVUW5uaDQaDePGjeOPP/7IUfmCfMun7lxA9ufj2XORmayycgqFQv/fzzOdpikDBgxgx44d7Nixg0ePHrF69WoAmjdvnqvBfbt372bIkCE5Pqf5dX7y6yVEOrVq1WLYsGEsXLgQ0HbxMTVbTm5knDI1p3+/wcHBWbaXlyW//tbPnTtHr169chyQF7a39mbV7qKjo/P0NPHZfRw0aBB37txh1qxZxMbGsnLlSlauXAmAt7c3HTt25M0335SXZxUyErgLUURVqVIFlUqFWq02mjLteWQM4p6HSqXKt7K6YLJFixb6+Y1zIjeB4R9//KEP2qtXr86oUaOoV68enp6e2NjY6Lfx7bffZs2aNfnahzor+XU+XpaOHTvq5zxfvny5/hF/TgelgjZzOnz4cBISErCzs+Odd97Rz1ltb2+v79974MABfeY6v85PbtpxTkRERBjM1hIWFsalS5dyNdg1K0W9vej+1u3t7dmxY0eOP5fxbz0lJYU33niDhw8fYm5uzogRI+jcuTPlypXD0dFRPyA3KChIP8biRf0951RW7S7jzXW/fv0YP358nr/no48+YvDgwfz9998cOHCAEydOEBcXR0hICL/++iuLFy/mww8/ZMqUKXn+DpG/JHAXooiyt7enevXqnDt3jhs3bnDz5s1sB1dmRdddIifZ+wcPHhh9riC5uLhw//59kpOTCyz7s3z5cgDKlCnDrl27sLa2Nlnu2RdCFYSMxzS78/Giz0VuWVpa0rNnT37//Xe+/vprkpKSsLOzy9Vc65s2bdK/bGfFihUmB9nCizk3z+udd94hIiIChUKBra0tcXFxjBgxItvpPLOSsftYbv5+C2N70Q2qjYuLo2zZsvogOzcOHjyoH6vxww8/ZDpmJz+fOOgGFesGCGcmP7o1Ojs7o1Ao0Gg0aDSa574mlixZkvHjxzN+/Hh9ImjLli389ttvxMbGMmPGDGrWrJntmAPxYsjgVCGKMN3ARI1Go3/0nleVK1cGIDQ0VD+7TGZ0cwl7e3vnOdjIDd1MLufPn8+XHz5TdLOpdOrUKdOgXaPRcP78+QL5/ox05wLIcsApYDCvc2F9pK3Lrute6tW1a9dcvWBI1+ffyckp06AdyHaA4svORi9evFjfr3306NHMnTsX0GZ+P/jggzzXa2lpqb9pz9geTAkPDyc4OBgonO1F97eenp5uNJgypzKOEenZs2em5fKzvejGHGV385gfLzIyNzfXXyOOHTuWr08LVCoVdevW5bPPPtMPIgfYuHFjvn2HeD4SuAtRhL322mv6mQGWLFnCgQMHcvzZTZs2GbxWvVWrVvr/fnbasIyOHTvG1atXjT5TkLp06QJo+2j+/vvvBfIduj6jWd0YbN26lbCwsCzr0U3flpKSkudtqV27tj6LumbNmkz7s6alpemnvbS3tzcYqFqYNGzYkEqVKmFpaYmlpSUDBgzI1ed1XQOSk5MzzWgmJCSwZs2aLOvJj3OTV1evXmXq1KmAduDhtGnT6Nmzp/6mZvXq1WzYsCHP9ev+Fm/dusXhw4czLad7spTxM4VJp06d9AHzzz//nKc6MnYlyezvOT09XT/lamYyTsWYnJycZVndQOjz589nGkhHRETk6hqdFV32Ozg4uMCmpm3QoIF+bIzMOlN4SOAuRBFmbW3NokWLUKlUpKenM2DAAJOvr84oMjKS999/nyFDhhi8wr1Lly766ejmzJljst98TEyMfh5ohULxwl4V3r9/f/2bEb/88kv27t2bZfmLFy+yffv2XH2H7s2zO3bsMPkI/fbt2znKiuoGi96+fTtX35+RhYWFftq+Gzdu8PXXX5ss9/XXX+szeK+99lqmTwoKg2PHjvHgwQMePHhg8BKYnNCdm4SEBJPBrVqtZty4cYSGhmZZj+7cREREZDljUH5LSUnhrbfeIjExESsrK3799Vd9F5DvvvuOUqVKAfDuu+9m+7QrM8OGDdN315g4caLJzO+5c+eYNWsWoJ0K8Hlmsiko5cqVo1evXgBs376dmTNnZln+wYMHBjcjgMFbpHWDLZ/1+eefZ/v0LOPA7+z+nps2bQpoxyzoBmBnlJyczOjRo/VPnZ7XyJEjsbe3B2DChAnZjnM6cuQIhw4dMli2evVqg9+AZx09elR/46Nro+Llkz7uQhRxzZs3Z968eYwfP56EhASGDh3KvHnz6NGjBzVq1MDJyYn4+HhCQkLYt28f27ZtMznln7m5ObNnz+bVV18lPj6eLl26MGrUKNq0aYOlpSVnz57lp59+0k/DN3bs2EzfmprfLCwsWLZsGZ07dyYpKYlXX32V7t270717d3x9fVEoFERERHD+/Hl27NjB6dOneeedd+jUqVOOv2PAgAFMnTqV0NBQ2rVrx/jx46lSpQpJSUkcPHiQBQsWkJKSQs2aNbP8wW/YsCF37txh+/bt/P777zRs2FCfuStWrFiOp6f84IMP+Oeff7h58yazZs0iMDCQwYMH4+Xlxf3791m+fLl+8J6vr+9/evBYz549+fLLL0lOTmbMmDFcvHiRVq1aYW9vT2BgIIsWLeLcuXM0atSIY8eOZVpPw4YNAW22deLEiYwYMcLgRUUZA7789OWXX3LhwgVAGzBm7ApVrFgxfv31Vzp16kRMTAxvv/02mzdvzvWLmCpXrsyECRP48ccfuXr1Ks2aNWPChAnUrl2b5ORk9u3bx/z580lISEChUDB79uw89R9/EX744QfOnj3LrVu3+Oabb9i1axeDBg2iSpUqWFlZERMTQ2BgIPv372ffvn1UrVrVoB97mzZtcHNzIyIigq+++org4GC6du2Ki4sLt27dYtmyZRw4cCDH7QW0gzjfe+89ihcvrn8i4OPjo39xUb9+/ZgxYwaPHj1iwoQJ3L59m3bt2qFSqQgICGDhwoVcuXKF+vXrc/Lkyec+Rq6urixYsIDXX3+dqKgo2rdvT9++fenQoQPe3t6o1WrCwsI4e/YsW7duJTAwkJkzZxq8k2DkyJFMnTqVLl260LBhQ8qUKYOVlRVRUVEcOXJE/3ZfMzMzg/n/xcslgbsQ/wEDBgygdOnSfPjhh1y4cIEzZ85w5syZTMu7uLgwadIkfcZGp23btixatIixY8cSHx/P999/r38de0ZvvfUWn332WX7vRpbq1KnD9u3bGTJkCMHBwWzcuDHLfpe57Xs/cuRIfSBw48YN/Vs4daytrVm4cCE7d+7MMnB/55132LRpE8nJybz77rsG63Izn7WdnR2bNm2ib9++XL58WT+l4rMqVarE2rVrX8hYg5elRIkS/PDDD4wbN46kpCR++ukn/Rt8dXr16sWQIUOyzCI3b95cHzitW7eOdevWGawviMGtBw4cYN68eYD2ZTlvv/22UZkGDRrw/vvvM2PGDA4dOsScOXP0T7ZyY+rUqSQkJLBw4UJCQkJ47733jMpYWVkxe/ZsOnTokOv6XxRHR0d27tzJsGHDOHjwIKdOncpyrMezbd/W1paFCxcyaNAgkpKS+P3334262Pn5+fHdd9/RuHHjTOstU6YMPXv2ZMOGDezbt499+/YZrD9//rw+E+3i4sK8efN48803SU5OZubMmQZPC8zMzJgxYwaRkZH5EriD9inp2rVrefvtt4mKimLFihVZdnM0dY2IiIhg6dKlLF261ORnrK2tmT17NjVr1syXbRbPTwJ3If4jGjVqxIEDB9i9ezc7d+7Ud02IiYnBxsYGT09PatWqRYcOHejSpUum2bZXX32Vxo0bs3DhQvbt20dISAgpKSm4u7vTpEkThg4dapCJepFq167NqVOnWLNmDdu2bePChQv6eZ+dnZ0pV64cjRo1okuXLvpp3nLK3NyctWvXsmTJElavXs3Vq1fRaDR4enrSsmVLRo4cSYUKFfSDCzNTo0YNdu3axdy5czl27BgRERHZ9o/NTMmSJTlw4AArVqxg48aNXLp0iUePHmFvb0/VqlXp0aMHgwcPzvTNqv8lr732GuXLl2fOnDkcP36cR48e4eLiQrVq1Rg0aBA9e/bE398/yzqUSiXr169n9uzZ7Nixg6CgIOLj4wtsKsCYmBhGjx6NRqPB1dWV+fPnZ1r2gw8+YN++fZw8eZKvv/6ali1b5roNKxQKvv32W3r37s2SJUs4cuQI4eHhmJmZ4e3tTatWrRg5cmSReLmOm5sbmzdvZu/evaxbt44TJ04QHh5OUlIS9vb2+Pr6UrduXdq3b0/r1q2NPt+mTRv279/PrFmz8Pf3JzIyEgcHBypWrEjfvn15/fXXs32JF8CiRYuoXbs2mzZt4vr168TFxWU6zqJbt27s2bOHn376iSNHjhAdHY2rqyuNGzdmzJgx1K1bN1fT2eZE27ZtOX/+PH/88Qe7du0iMDCQhw8folQqcXV1pWLFijRt2pRu3bpRvnx5g88ePXqU3bt3c/ToUYKCgggPD+fRo0fY2NhQtmxZWrZsydChQ/XdFEXhoIiJiSlck5cKIYQQQgghjMjgVCGEEEIIIYoACdyFEEIIIYR4Ys2aNUyYMIGWLVvi7u6Oo6Ojfurd3EhPT+eXX36hSZMmFC9enLJlyzJs2DD9C8LyQvq4CyGEEEII8cRXX31FSEgILi4ueHh45Gg8hCkTJkxg+fLlVK5cmbfffpvQ0FA2btzIvn372LNnT57edi4ZdyGEEEIIIZ6YO3cuFy5c4ObNmwwdOjRPdRw8eJDly5fTpEkTDhw4wOeff86iRYv4888/iY6OzvPbkiXjLoQQQgghxBMtW7Z87jp0Lwb7+OOPsbCw0C9v164dfn5++lnbcjtrj2TchRBCCCGEyEeHDh3C1taWRo0aGa1r06YNAIcPH851vRK4CyGEEEIIkU/i4+MJCwujVKlSqFQqo/W6tzTfvHkz13VLVxkhipBDrg1e9ia8UD8P+ftlb8ILVbdZhZe9CS9Mw+HVX/YmvFBVA7e87E14oaLSXV/2JrwwVY7//LI34YVK6T42+0L5oKB/7/wiTxRY3bGxsQBGbyfX0S3XlcsNCdyFEEIIIUShojBXvOxNKJSkq4wQQgghhBD5JLuMenYZ+axIxl0IIYQQQhQqSrOim3G3tbWlePHi3LlzB7VabdTP/datWwAyj7sQQgghhBAvW9OmTYmPj+fYsWNG6/bu3QtAkyZNcl2vBO5CCCGEEKJQUZgrC/RffomKiuLatWtERUUZLB8yZAgAX3/9NSkpKfrlu3fv5tChQ7Ru3RofH59cf590lRFCCCGEEOKJ5cuXc/ToUQAuX74MwB9//MGhQ4cAaNy4MYMHDwZg0aJFzJgxg0mTJjFlyhR9Hc2bN2fw4MEsX76cFi1a0L59e8LCwtiwYQNOTk7MnDkzT9smgbsQQgghhChUXmYf96NHj7Jq1SqDZceOHTPo9qIL3LPy008/UaVKFZYtW8bChQuxtbWla9euTJ06ldKlS+dp2xQxMTGaPH1SCPHCyTzu/20yj/t/l8zj/t8l87gXjBMVmhZo/Q2u5f6tpYWBZNyFEEIIIUShIvO4myaDU4UQQgghhCgCJOMuhBBCCCEKlaI8j3tBkoy7EEIIIYQQRYBk3IUQQgghRKEifdxNk4y7EEIIIYQQRYBk3IUQQgghRKEifdxNk4y7EEIIIYQQRYBk3IUQQgghRKGiUEnG3RQJ3IUQQgghRKGilMDdJOkqI4QQQgghRBEgGXchhBBCCFGoKJSScTdFMu5CCCGEEEIUAZJxF0IIIYQQhYpCJbllU+SoCCGEEEIIUQRIxl0IIYQQQhQqMquMaZJxf8EcHR3p0qXLy94MkQd//vknjo6O/Pnnny97U4QQQgjxf+g/Gbj7+/vj6OjI9OnTn7uuUaNG4ejoyJ07d/Jhy0RhdufOHRwdHRk1atTL3hQhhBDi/5pCqSjQf0WVdJURIoe6du1K/fr18fDweNmbkiMlBnbHya8uDnWqUaxaBVSWFpwfNpm7yzfkriKFAt/Rg/Ae3hfbsqVIi0sgcu8Rrk6bReLtuyY/4trOj3KT38ahdlU0Gg2xZy5x/Zufidp/LB/2LHPlfa0Z1MOdymVtMFMpCLqbxIbdkRw6FZujzxd3s6B1Y0fK+VhRtpQ1rk7mPIhMYejkaybLO9qr6N/VnQq+1ri7WmBnreTRYzV3HySzdf9DjpzJ2ffmhZeLgta1VHi7K1Ap4EGMhiOX0rl0Jz1Hny9fQkFFbyU+bgoc7RQolfAwVkNAUDpHLqWT9kw1rWqqaFVLlWWdp6+r2XREndddytT/W1u+eu0af/y5ksuBV0hLS6O0ry+9evagRbNmOfr8rt17+OGn2Zmunzn9G2rWqG6wbPCbw3gQHm6yfI3q1fju2+dPhGXm5rXL/LVyMdevXESdloa3b1k69+hPo2Zt81RfXFwsk8YMIvphJDXqNGTy5z8ZlUlJSeaf9X9y9OBuwsPuY25hSfmKVXml3xtUrFLzOfcoawH3I1lw4Dzn70aQlp5OeXcnXmtYmQ5VfHP0+U5z1xP6KD7LMr8Nbk8dn6e/VbW++iPTst1qlOHL7k1z9N3i5ZPAXYgccnBwwMHB4WVvRo5V+Hw8Nr4lSY54SHJoODa+JfNUT/UFX+AzrC+PA64RNO8PLL3c8ezTCbd2TTns14+EG4ZPo0oM7E6tZd+RHB7F3eXrAfB8tTMNd/zOmQETCFu/87n3zZQaFW354t1SpKZqOHjiEQnJ6TStY8+UkT4sXhvKhl1R2dZRrbwNg7q7o1ZrCAlNxskh60ukq5M5bRo7cuVWIkfPxPI4Xo2jvYoGNe35eLQPOw4+ZO7y+/m1i3qliyt4va0ZaWoICEonORWqlFLSr6UZO06mceRy1sG7mRJeb2tOqlpDUJiGG/fTMVNBOS8lbeuYUcknnd93pJGaIQa/HZYO50zXV6e8EgdbBTfuafJvJzP4f2rL585f4ONpn2Jhbk6L5s2xtrHm8OEjfPPtTCIiIunTq2eO62rcqCFly5QxWu7h4W6yvK2tLT17dDcu7266fH64dOE03346AQtzCxo1b4e1tQ0njuxnzsypREWG06XnwFzXuXThDyQkZB7YpqQk880nY7kWeBEf33K07dST+Pg4Th7Zz5dTxjBhyjfUa9T8eXYrUyeDwhi1ci+WZio6VC2FrYU5e64EM2m9Pw9iExjcqEq2dQxqUJnHSSlGy2MSk1lz6ir2VhZU9XI1Wu/pYEv3GmWNllcs7pS3nSlg0sfdtP9c4D59+nRmzJgBwIwZM/T/DXD+/HlKlSpFVFQU3333Hdu2bSMsLAx7e3v8/Pz48MMPqVLl6R9N9erVCQkJAaBmzad34E2bNmXr1q0AbNmyhY0bN3LmzBnCwsIwNzenatWqjBw5kh49euT7/j1+/Jj58+ezefNmbt++jbm5OaVKlaJDhw5MmjQJc3Nzfdljx47x448/cuLECRITE/Hx8aFnz55MmDABGxsbg3odHR1p2rQpv//+O9OmTWPXrl0kJCRQrVo1Pv30U5o9k+kJCwtj1qxZ7N69m/v372NhYUHx4sVp2rQpn332mT7A7dKlC4cPHyYmJsZoX0aNGsWqVav05wW0/cjHjBnD/PnzcXZ25vvvv+fy5cs4OjoyaNAgPvroI5RKJStXrmT+/PncvHkTV1dXRowYwbhx4wzq17WFLVu2cPv2bRYuXMjNmzdxdnbmlVde4aOPPqJYsWIG3wuwatUqVq1apa9ny5YtNGvWzGDbBg0aZPBdBXms8+rC25+QcOMOicH3KfvBW1T65v1c1+HSoiE+w/oSdfAExzsORZOaCsD9Vf/Q4J9fqTZ7Kie6DNeXN3O0p+pPn5Ac8ZBDDXqSdO8BADe/+xW/kxupNu8zInYdQh2XdbYot5RKGDvEC40GJs28za2QJABWbQln1sdlGdLTg0OnYol4mJplPQHX4pn4zU1uhySRkqphw4Ksf0Rv302i37hA0p+JV60tw/jx4zJ0bO7Mpj1RBN9Pfq79y0ipgO6NzdAAv+1IIyxa++X/nlfzdhdz2tZRcelOOlkl5NI1sOdMGieuppPx91+pUNO/lRmVvJU0qKTk8KWnNwBBDzQEPTDOpttaQfMaSuKTNFwJyVm2P7f+X9qyWq3mp7nzUCgUfD/jW8qW1Qbdrw3oz7h332PpsuU082ua40C6SaNGtG+X86y1na0trw/KfaCcV2p1GovnTUepUDL12wX4lqkAQK/+Q5n63jDWLF9Ig6atcHP3zHGdJw7v58iBXbwx8j2WLvzBZJld//zFtcCLNGzamrEffIFSpX2S1LPfG3w04Q0Wz/uWqjXqYm1j+/w7mUFaejpfbD2GUgFLBrenUnFnAEY0q8Frv21n7v6ztK3kg5ejXZb1vNawssnly49dBqBL9dJYmhk/HfNysGNUi4J9miAK3n+uj7ufnx8DBgwAtAH2pEmT9P8cHByIjIykbdu2LFy4EB8fH8aMGUPz5s3ZsmULbdu25ejRo/q6Ro0aRbVq1QAYOXKkvp6BA59e2L744gsCAwNp1KiRPli/fv06Q4YM4ZdffsnXfYuIiKBNmzZ8++23qFQqhg4dyqBBg/Dw8GD27NnExz/9Adm4cSNdunTh0KFDdOnShVGjRmFtbc3MmTPp3r07SUlJRvU/evSIjh07cuXKFfr160e3bt04e/YsvXv35vLly/pyCQkJdOjQgUWLFlG6dGlGjBjBwIEDKVu2LGvWrCEqKvvMZnb++ecf3nzzTXx9fXnzzTextbXl+++/55tvvmHOnDlMnjyZatWqMWTIENLT05k2bZpBsJ3R/PnzmTx5MrVr12bUqFF4eHiwYMECevXqReqTH+/q1aszcuRIAKpVq2bQbnx8fLLc1oI81s8jat9REoOfL9vrPexVAK59Olsf6ABE7DxI1L/HcWvfDCvvpz+qnn06Yu7kQND8FfpAByDp3gPu/LwCSzdnir+St8ffWalZyQ4vd0v+Pf5IH7QDJCSms3ZbBObmSto2ccy2nrDIVK7eSiQlNWeZY7Uao6AdIDE5ndMBcQB4uVvkqK6cKu2pwMVewcVb6fqgHSA5FQ5eVGOmUlC7bNaX9nQNHLxoGLTrlvtf1Abnvh45+3moXVaJSqng/K101AUTt//ftOVz588TGhpKq5Yt9EE7aDPh/fu+SmpaGrv37M3X73yZLp0/zYPQezRp0U4ftAPY2NrR49XBpKWl4r93W47ri30UzW8LvsOvVUdq18u868fp4/4A9B44XB+0A3h4lqRl267EPorm+JH9edijrJ24HUZI9GM6VSutD9oBillZMKxpNVLV6Wy5cCvP9W88dwOAV2qVe+5tLQwUKkWB/iuq/nMZd122ctWqVfj5+TFlyhSD9WPGjOH27dtMnDiRadOm6Zfv2rWLvn37MmbMGE6dOoVSqWT06NFcvHiRgIAARo0apc8KZ7Ru3Tp8fX0NlsXFxdG+fXu+/vprXn/9daOMa1699957XLt2jffee4+pU6carAsPD8fOTnuXHhsby7hx4zAzM2PXrl36m49p06YxfPhw1q9fz5w5c/jwww8N6ggICGD48OHMnDkTpVL7o92sWTPGjRvHr7/+yqxZswA4cOAAd+7cYdSoUUYDgOPi4gyy/nm1Z88edu7cSZ06dQCYMmUKderU4eeff6ZYsWIcPHhQf9zHjh1LnTp1mDt3rv6mLaN9+/axb98+/XHQaDSMGDGCdevWsXDhQsaOHUuNGjVwcHBg4cKFVK9e3ajdZKagj/XL5tKiIWlx8Tw8csZoXcQuf1xaNsSleQPu/blJW755AwAi9xwyLr/7EBU+Hactv2JTvm5n9YrazNjZS3FG6848CaCrVbSFfyLy9XszY26moGYlW9LTNdzJx2w7QOknAfWN+8Z3DDfuaSNn3+JKuJC3KFoXfJu6ITGlTnlt4HP6egFF7fmkKLTl8xcDAKhbu7bRurpProUXAwJyXN/NW7f4a/0G1Go1Hh4e1KlVE3t7+0zLp6amsmv3HqIePsTGxoaK5ctTqVLFXO5Fzl0O0J6L6rUbGq2rUacRAIEBZ3Nc35L52uvp4BHvkhif+ZOQmGhtcsndwziT7+bhpd2286dp2bZrjr87J07d0d4ANi5j/L1Nymq/93TwA6N1OXEuJJxbkY+o4ulCRQ9nk2UeJ6fw15lrxCQk42BtSS1vN8q7F85uMiJz/7mMe1ZSUlL4+++/cXZ25v33DR+1tm/fnlatWnHr1i2OHcv5oKNng3YAOzs7Bg4cSGxsLGfOGP9I5MWDBw/YsmULpUuXZvLkyUbr3d3dMTPT3odt27aN2NhYXnvtNX0gCaBUKvn8888xMzNj5cqVRnXY2try2Wef6QNJgIEDB2JmZmZyP6ytrY2W2dnZYWlpmad9zKhv3776oB2gWLFidOjQgYSEBIYOHWpw3EuWLEmjRo24evUqaWlpRnX179/f4DgoFAqmTp2KSqXKNEufUy/qWL8MKhtrrLzcSQi6C+nGQVn8k/7AtuWe3tDalvfVrrtuPAuTbplNOeMb4OdVwkOb1b4fbhwkR8emkZCkzvfMd0YOxVQM7O7Oaz3cGfOaF4u+Lk8ZH2tW/RNBaLhxX9Tn4WyvzRRFxRpH1nFJkJyqwblY3rNJdcrpbgyyD8RLuStwdVAQEp5OREzB9G/PD0WlLd+/p32qUMLLy2ids7MT1tbW3Luf8ycPGzdv4dclv/Hb0mVMnzGT1954kzXr/sq0/MPoaH74aTZLl//Bzwt/Yfx77zP23YncDw3N/c7kQNh9bVfU4l7eRuscnVywsrYh7L7pQcPPOrR/ByeP/svQ0R9iZ5f5zQlAMXtHAMIfGO9XxAPt8Q29H5yj782N4GjtYHUfZ+Ptc7WzxsbCjOCHeRvQrsu298oi237tQTRfbTvOvH/P8fX247y66B/GrNrLw/jEPH1nQVMolQX6r6j6z2Xcs3Lt2jWSkpJo1qyZySx4s2bN2L9/PxcvXqRJkyY5qjMiIoJZs2axZ88eQkJCSEw0/AMICwvLl20/e/YsGo2GZs2aZZvRvnDhAqDtNvQsb29vfH19uXHjBo8fP9b38QYoW7asPmuvY2Zmhru7O48ePdIva9KkCcWLF2fWrFkEBATQoUMHmjZtSsWKFVEo8ufxU/Xq1Y2WFS9ePMt1arWa8PBwvJ750WvcuLFReR8fH0qUKEFgYCApKSlYWOQtqCvoY/0ymTlotzftkXEWGyAtNs6gHICZvd2TzzzOtLx5hvL5xcZam/WNTzQdbCYkpmNrnfWMKM/DsZgZg7o/7XecmpbOkrWhrM/BgNjcsnrSVJMz6c6TnPq0TG6VL6GgXgUl4TEazuQgg16nvPbHr7Bn24tKW45/MqDSxtb0U1obG2vi4xOyrad4cQ9Gj3ybenXq4OrqwuPHcZy7cJ7fly7nt6XLsLK0pEf3bgafad+uLdWqVsG3VCmsrKy4d+8+f2/cyN59+5n80ScsnD83354e6+iy4jaZ9CW3trYhIcH0OcsoOiqCZYt+pEnzdjkaVFqrbiNuXA1g/erfeOe9z/TdZcLD7nNgr3b8WkJ89t+bW3FJ2i5adpamf8NtLc2JS856HI4pCSmp7Aq8g5W5io7VfE2WGdyoCm0q+VDK2R5zlZIbETEs8r/A4Zv3GbtmP8vf6IiqCAez/0/+rwL3x4+1F2A3NzeT63XT/OnKZSc6OppWrVpx9+5dGjVqRIsWLXBwcEClUnHx4kW2bdtGcnL+PCaPjdXehXt6Zj9IJyf7aSqYzPjfGalUKtTqp4PSHBwc2L17N9988w07duxg165dgDbzPWHCBIYPH26yntwwtS2qJxfXrNalphpf9NwzGcjl7u5OcHAwcXFxODubfrSYnYI+1qJouHM/mS7DA1AqwNXZnBYNHBjc04PK5WyYvjDEVJK30PFyUfBqczOSUmHNgbRs+6tbmkPVUkqSU7VTSIrCo0b16tTIkOCwtLSkbevWlCtblrETJvLHylV07dJZf90EeG2gYTfDsmXL8OF7EwHYu28/23fuonfPV17I9ufWornTUZmZMXjExByV79SjP0f993LMfw+hd+9QpUZdEuIfc+LIv7i5exIcfyPfklAvws5LQSSkpNGtRhnsLE3ftU9sW9fg/9cs6cbc/q1564/dnA5+wL/X7tKmUtbjuV60ojzXekH6v7q90gVLERGm+7mGP5nDNrOg6ll//PEHd+/e5eOPP2bHjh189913fPLJJ0yZMoX69evnz0Y/oZulJTQHjyzzez9N8fb2ZsGCBdy8eZODBw/y+eefk56ezvvvv89ffz19FKvrCmKqC4vuZqSghWcyN3F4eDgKhcIo850bL+JYvyy6TKOZg+njYyojaSpz+Wz5VBMZzOeVkKi92bG1Nn1Js7FWEp9Y8DdE6RoIj0pl3fZIlm8Mp0kdBzo2z9tNYWZ0A0otzU3/qFmaYzToNDteLgqGtNPOVLN8d1qOur1U81ViYa4g4HY6KcZ/3oVKUWnLtk8yzwmZZNUTEhKxzSQbnxO+pUpRtUoVHj9+TPCTGdOy06VTRwAu5dOg+YysbZ/sbyZTNyYmJmBjk/X1+eDerZw/fZQ3R76PvYNjzr7XxpbPZv5Cpx79SYiPY9fWv7h49gRtO/XkjZHvAWDvkP99v+2stJn2zLLq8cmpmWbjs7Lh/E0AetUqn6vPKRUKetXWdq05F2L6d1IUPv/JwF2XRXg2c1mhQgWsrKw4c+YMCQnGF8ZDh7SDkDJ2xdDVlW4iZXb79m0AOnfubLQu4+w0+aF27doolUr8/f1NZpUzqlGjBvB0fzK6e/cut2/fxtfXN1+CSaVSSY0aNRg/fjyLFy8GYPv27fr1jo6OANx/pl9meno6AbkYZPU8TJ2L4OBg7t27R+XKlfXdZDJrN1l5kcf6RVMnJJJ0/8mc2SYeoer6A8dnmPs6/nqQdl15476/umXPzpWdH+490EaqXu7G4yuc7M2wsVJxP5/7mmdHN1BWN3A2vzx80rfdxd44cLez0gb0Dx/nvL+5LmhXKOCP3Wncj8rZZ+tWKBrdZKDotGWvEtpufqb6sT98GE1iYqLJ/u+54fBkcKqp2a5MsdeXz99B1vC0b7uur3tGMdFRJCUmUNwr6zn7g25pX442+9uPGditsf7f+OG9ALhw5jgDuzVmyrjBBp+ztSvG68PHM3vJev7Y4M+8pZsZ8MYYHoTeA6BMedNTLj4PHyftsTTVjz0yLpGElDST/d+zcjMihgt3IyjtYk9tn9zPt+9kYwVAYmrhu/tWqhQF+q+o+k8G7k5O2jvle/fuGSy3sLCgd+/eREVF8eOPPxqs27NnD3v37qVMmTI0atTIqK67d40HyHh7ay86zw5mXbdunb77SH5xd3ene/fu3L5922Buep2IiAh9Vrtz587Y29vz559/EhgYqC+j0Wj47LPPSEtLM5jSMrcCAwNNZrF1WeeMg1N1A0yfHaA5f/587tzJ/wDOlNWrVxvcJGg0Gr788kvUarXBLDSOjo4oFAqjdpOVgj7WL1vUwROY2dni3KSO0Tq39toZnB76n9Qv0/23a1vjPv9u7fz0dea3gGvajF3tqsbZuTrVtMsCrubv3PHZcXbU9kRUq/N30GbQA22gXM7L+IenXAntJT0oLGfBtEHQvieNu5E521Z3RwUlXZU8iE7P8WdetqLQlms8GeB++qzxTCqnnwxar55hEHxuqdVqrt24DmTehfBZV65qA+PMXtr0PCpX086ec/HscaN1F84cMyiTmfKVqtOyXTejf7q3rjq7utOyXTfqN26Ro206fED7Uq3GeXxra1bqldJ2xz16y/jJ+ZGb2pu1uj65ezP3804BefFeJKCd472wUSgVBfqvqPpP9nGvUKECnp6erF+/HktLS7y8vFAoFIwYMYLPP/+cw4cP8/3333PixAnq1atHcHAwGzduxMbGhvnz5xvM9NG8eXPmzp3LhAkT6N69OzY2Nnh7e9O/f3/69evHTz/9xIcffoi/vz/e3t4EBARw4MABunXrxpYtW/J1v3744QcCAwP5/vvv2bVrF82bN0ej0XDjxg3279/PtWvXcHR0xN7enjlz5jBs2DDatm1Lz549cXV15d9//+XcuXPUrVvX6GVFubF//36mTZtGw4YNKVeuHM7OzgQFBbF9+3asrKx466239GUHDRrE7Nmz+fbbb7l48SKlS5fm7NmzBAYG0rRpUw4fPpwfhyZLrVu3pn379vTq1QtXV1cOHDjA2bNnqV+/Pm+//ba+nJ2dHXXq1OHIkSOMGDGCsmXLolQq6devX6ZzuRf0sX5RzF2csHB1IiUymtSoaP3ykMVrKdG/KxU+H2/w0hq3Ds1xadmQiF3+BvNr31+3nUrfvI/vmNe4u/Qv/fzXViU8KDX6NZIjHhK2cU++b/+5wDhCw1No2dCBLXuj9HO521gr6dvZjdTUdPYejdGXd3Iww9ZaycNHaSRkMqA1J0qXtCI4NIlnH9LY2aoY0kv7A3zyQv52p7gVquHhYw3Vyyg5Fvh0LndLc2heXUWaWsO5m0/3yc4arMzhcaJ24KqOp7M2aFcqtZn2kIicB+B1nwxKPXOj8GXbi3Jbrl2rJp7Fi7P/3wO80q2bfi73+Ph4Vq9dh7mZGW3btNaXj3r4kPj4eFycnbG1ffpk5/r1G5QvbxjIqdVqflu6jPv3Q6lZowYuGcb1BIeE4O7mhpWVlcFngkNC+O33pQC0bpmzwDc3qtWsh3vxEhw5sJsO3frq53JPiI9j07rlmJmZ06z10yfa0Q8jSYiPw8nZFRtbbaDZuFlbk0F2xINQjvnvoaRPaUaM+8hofUJCvNGg2G0bVxFw7iT1G7egbIXs32CaWw1KF6ekox3bA24zoH4l/Vzuj5NSWHI4AHOVkq41ns7fH/E4gbjkVFztrClmYsR5qjqdfy7ewkyppFuGzz3reng0vi4OmKsMc7XnQsL5/WgAZkol7Srn/2xfomD8JwN3lUrFH3/8waeffsrff/+tH0DYt29fSpUqxd69e5k5cybbtm3j6NGj2Nvb06VLFyZNmmTw5lSAdu3a8cUXX7Bs2TLmzZtHamoqTZs2pX///pQoUYKtW7fy6aef8u+//6JWq6lRowYbNmzg7t27+R64u7i4sHv3bubOncumTZv49ddfsbS0pFSpUkyYMMHgwv3KK6/g7u7OrFmz2LJli/5tnh988AETJkwwukDnRps2bQgODubIkSNs2bKF+Ph4PD096dmzJ+PHj6dSpUr6su7u7mzZsoVPPvmE/fv34+/vj5+fH3v27OG77757IYH7mDFj6Ny5MwsWLODWrVs4OTkxcuRIPv74Y6PZZH755Rc++ugjdu7cSWxsLBqNhkaNGmX5EqaCPNbPw3toH5yaagck2Ver8GTZqzi30M5PHX34NCG/accj+I4eRIVpY7n2xVyufzlPX0fUgeMEL1mLz7C+NDuxnvDtB7D0dMPz1c6kREVzacJXBt+ZFhPLpfFfUmvZd/id2EDoOu3LUzxf7YyFiyNnBr6b729NBe0Mf3OW3eOLd0sx48PSHDzxiITkdJrWscfD1YLFa0MJj3oatb7Ry4O2TZ2Y9dtd9hyJ0S+3t1Mx7NXi+v+vUimwt1Px7psl9MuWrAsjNk4bqb/SzoX6NYoReCOBiIepJKem4+5iQf3qdlhbqfA/+YgDJ/J3lqB0DWw6ksbrbc0Y2tGMgKB0klOhSiklTnYKdpxMIybDIW5XR0XtcirWH0rTB/TWFjCkvRnWlgqu302nrJeSss/0wEhK0XA00DgwVymhRhml0Q1CQfp/acsqlYoJ48by8bRPeX/SZFo0b461jTWHDx/hQXg4bw0bSnGPpxnZ35cuY/fefbw3YbzBG1LfmfAupUv7UsbXFxcX7awyFwMCuHvvHq6urrw7bqzB9x446M/6DRupVq0qHu7uWFlZcffePU6eOk1aWhr9+r76XJn+zPfXjLfGTuHbTyfw5eRRNGreDmtrG04c2U9keBiDho7FLcNc62uWLeDgvm28Pf4TWrTt8lzf/c4b3alSvQ7FvbxRAJcDznL7xhXKlKvMWyYC/fxgplTyadfGjFq5l2HLd9GhailsLczZcyWY0EfxTGxblxIZ3po6Z/9Ztly4xefdmtCjZlmj+g5cCyE6IZk2lXxwtjWenlln+bHLHLpxj1re7hS3t8FMqeRmxCOO3rqPQqFgSscGeDsXvu6cRXnKxoKkiIkpxJPvCvEcpk+fzowZM9iyZYv+xVxF3SHXBjkuW2PJdLwH98p0fcjy9VwYpn3RVPmp75gMdgBQKPAd8xo+w/piU64U6rgEIvce4eq0WSTcMj3Aza19M8pOfhuH2lVAA4/OBHD9mwVE7cvd2I+fh/ydq/IVSlszqLs7lcvaoFIpuHMviQ27I/E/adin9N03S5gM3N1dzPl9RtYvnHlz0lX9TUDNSra0aeJIxTI2ODuYYWGu5HF8GjeCk9h7JNroe7NTt1mF7As9UcJVQeuaKrzdFSiVEB6t4cjldKMZXno2NQ7cHW1hYp+s54yMjtMw62/j8TRVSynp19KMi7fVrDuY9wG/DYcbT+uamf9CW64amPNEzpWr1/jjzz+5HHgFtToN31K+9Or5Ci2bG17Hvv9xlsnAfdHiJVy5epX790N5HBeHmZkZXp6eNGrYgF6vvEKxYobdIi5cvMiWrdu4efMW0TExJCcn42BvT8WKFejWpbP+5U+5EZXumuOyN65d4u8/F3PtykXUaWl4+5al8ysDjDLpC2d9mePAPeJBKOOH96JGnYZM/vwno/VLfp7J5QuneRgZDgoFnl7eNGnRng7dXsXcPHfzqVY5/nOuyl+8F8nCg+c5fzeCNHU65dwdeb1hFTpU9TUoN3Xz4SwD9zGr9nL45n3m9W+NX7kSRut19l0JZvOFm1wPj+FhfBKp6nRc7ayo5e3OoAaVqV4i5+cKIKX72OwL5YM7A3oUaP2lVuXviwBfFAncxX/W/3vg/l+Q28C9qMtN4F7U5SZw/y/ITeD+X5CbwL2oy23gXtS9qMA9eNArBVq/z58bC7T+giLPIYQQQgghhCgC/pN93IsKf39/k9MIPqt69ep07dr1BWyREEIIIcTLV5SnbCxIEri/RIcOHTI5teOzBgwYIIF7HkyZMoUpU6a87M0QQgghhMgXEri/RBJYCiGEEEIYK8pzrRck6eMuhBBCCCFEESAZdyGEEEIIUajIPO6myVERQgghhBCiCJCMuxBCCCGEKFSkj7tpknEXQgghhBCiCJCMuxBCCCGEKFQk426aZNyFEEIIIYQoAiTjLoQQQgghChXJuJsmGXchhBBCCCGKAMm4CyGEEEKIQkXmcTdNAnchhBBCCFGoKFXSVcYUuZ0RQgghhBCiCJCMuxBCCCGEKFRkcKppknEXQgghhBCiCJCMuxBCCCGEKFRkcKppclSEEEIIIYQoAiTjLoQQQgghChXp426aZNyFEEIIIYQoAiTjLoQQQgghChXJuJsmGXchhBBCCCGKAMm4CyGEEEKIQkVmlTFNjooQQgghhBBFgGTchRBCCCFEoSJ93E2TwF2IIuTnIX+/7E14oUYv6/2yN+GFCh1w9WVvwguzZNTWl70JL1Sb6+Ve9ia8UGfPRL7sTXhh7l3v/rI34YVa/f+1u4WOBO5CCCGEEKJQkT7upslREUIIIYQQogiQjLsQQgghhChcFNLH3RTJuAshhBBCCFEESMZdCCGEEEIUKjKrjGkSuAshhBBCiEJFBqeaJkdFCCGEEEKIIkAy7kIIIYQQolCRrjKmScZdCCGEEEKIIkAy7kIIIYQQolCRPu6myVERQgghhBCiCJCMuxBCCCGEKFSkj7tpknEXQgghhBCiCJCMuxBCCCGEKFQk426aZNyFEEIIIYQoAiTjLoQQQgghCheZVcYkOSpCCCGEEEIUAZJxF0IIIYQQhYpCIX3cTZGMuxBCCCGEEEWAZNyFEEIIIUShIm9ONU2OihBCCCGEEEWAZNyFEEIIIUShIvO4myYZdyGEEEIIIYoAybgLIYQQQojCRfq4m/TCjoqjoyNdunR5rjpGjRqFo6Mjd+7cyaetMuTv74+joyPTp08vkPqLiurVq1O9evWXvRlCCCGE+D+lUCoK9F9RlefA/cKFC7z77rs0bNgQb29v3NzcqFChAq+88gpz584lMjIyP7dT5KOCvgESQgghhBD5L9ddZdLT05k2bRrz5s1DpVLRpEkTWrVqha2tLREREZw8eZKpU6fy7bffcvLkSby8vApiu0UB2rx588veBJFPyvtaM6iHO5XL2mCmUhB0N4kNuyM5dCo2R58v7mZB68aOlPOxomwpa1ydzHkQmcLQyddMlne0V9G/qzsVfK1xd7XAzlrJo8dq7j5IZuv+hxw5k7PvzYsSA7vj5FcXhzrVKFatAipLC84Pm8zd5RtyV5FCge/oQXgP74tt2VKkxSUQufcIV6fNIvH2XZMfcW3nR7nJb+NQuyoajYbYM5e4/s3PRO0/lg97Zlpo0AUOb53L/VtnSVen4epVgXpt3qBS3c45+vytSwe4dGwj4XcDiY+NRJ2Wir2zJyXK1KFB+7dw9iht9JnvRlfMtL6qjXrSefC3ed6f7JTzsaRfJ2cqlbZCpVIQHJrC5v0xHDkbl6PPe7ia0bK+PWVKWlLG2xIXRzPCo1IZ+XnmCYz1c8plum7f8Vjm/Rme6/3IqQfBFzi2fS6ht8+Snp6Gi2cFard8gwq1c3Z+gy4fIPDkRiLvac9vujqVYk6eeJauQ902b+Hkbnh+Ex5HcmLnzzwIvkjsw3skJ8ZibeeMk3tpavgNomyNdgX2QhxfTzN6NLehbEkzVEoFdyPS2H08kVOBKTn6fLWy5tQqb0G5kuY4OyhRqRSEP1Rz8nIyu44nkqY2/bmqZczp3MSGUsVVaIA7oWn8cziRK0Gp+bdzJlQobc1rr3hQubztk+tyIut3ROJ/8lGOPu/pZkHrpk6UK2VNOd+n1+U33r9isryXhwXN6jtQt3oxvNwtsS+mIuZRGuevxLPmn3Duhibn5+7lG4VCusqYkuvA/csvv2TevHnUrFmT33//nTJlyhiVOXfuHJ999hlJSUn5spHixSpd2vgHWxQ9NSra8sW7pUhN1XDwxCMSktNpWseeKSN9WLw2lA27orKto1p5GwZ1d0et1hASmoyTQ9aXDFcnc9o0duTKrUSOnonlcbwaR3sVDWra8/FoH3YcfMjc5ffzaxcNVPh8PDa+JUmOeEhyaDg2viXzVE/1BV/gM6wvjwOuETTvDyy93PHs0wm3dk057NePhBuGgV6Jgd2ptew7ksOjuLt8PQCer3am4Y7fOTNgAmHrdz73vj0r+Oox1s0bjpm5BZXqdsHCypZrZ3exZcm7PI4Oo37bodnWcSvgIPdvn8fTtwalq7qjVJrxMOwWAcc3cvnkFnqPWUSpio2NPmfvXIJqjXoaLXcvWTlf9s2UauWtmTrKi9Q0DYdOPyYpOZ1GNe14/83iLHWMZPP+mGzrqFLGmn6dnFGrNdx9kIKjvSpH3x0elcr+E4+Nlt++W3DBTsj1Y2xaOByVmQUV6nTBwtKWG+d3sWPZu8TFhFGnVfbnNyjwIGFB5yleqgalKrujVJnx8MEtAk9u5OrpLXQfsQjvCk/P7+PoUAJPbqS4by3K1miLlY0jCXFR3A7Yz7bfx1K10au06f9Vvu9rxVLmvDvAntQ0DScup5CcrKFOJQtG9rJn7Z54dh1PzPLzZiqY0N+B1DQNV++kEnArBXMzBVXLWNCrlS21K1rw3R+PSEkz/FyjapYM71GM2Ph0Dl/Qnsv6VSyZONCeX9Y/5vSVnN005FaNSrZ89X5pUlM1HDgeQ0JSOn71HPhoTCl+XX2f9Tuy761QtaItr73igVqtIfh+UrbX5cG9itOioSO3QxI5djaWhEQ1viWtaNvUCb96Dkz94TYB1+LzaxdFActV4H7jxg3mzJmDq6srf//9N66uribL1apVi40bN5KWlmZyfUZRUVF89913bNu2jbCwMOzt7fHz8+PDDz+kSpUqJj+j0WiYPXs2y5Yt4969e3h4eDBo0CAmTpyIubm5vlxKSgq///47O3fu5OrVq0RERGBvb0+jRo344IMPqFmzZm52P1uOjo40bdqUX3/9lc8//5z9+/cTERHB5s2badasGQCHDx9mzpw5nDx5kri4OEqWLEmvXr2YOHEiNjY2z73tW7duZfHixZw7d46EhATc3d1p3LgxEyZMoEqVKlSvXp2QkBAAgzqaNm3K1q1bAfT92y9evAjAzJkz+eabb1iwYAEDBgww+s7NmzczePBg3nvvPaZOnapfHhQUxA8//MD+/fsJDw/HycmJ1q1bM2XKFHx8fHJ9fO/cuUPNmjUZMGAA48aN49NPP+XYsWOo1WoaNGjAp59+Sq1atYw+FxwczMyZM9m7dy+RkZG4ubnRunVrJk2ahLe3t77clClTWLBgAfv376d27dr65QMHDmTbtm307duXRYsW6Zf7+/vTrVs3Jk+ezOTJk/XLHz9+zNy5c9m8eTNBQUFYWFhQr149PvjgAxo3NgyEunTpwuHDhwkLC+P777/nr7/+4u7du7z33ntMmTIl18dIR6mEsUO80Ghg0szb3ArR3kSv2hLOrI/LMqSnB4dOxRLxMOvMUsC1eCZ+c5PbIUmkpGrYsMD036TO7btJ9BsXSLrGcLm1ZRg/flyGjs2d2bQniuD7+R/0XHj7ExJu3CEx+D5lP3iLSt+8n+s6XFo0xGdYX6IOnuB4x6FoUrXH5/6qf2jwz69Umz2VE12G68ubOdpT9adPSI54yKEGPUm69wCAm9/9it/JjVSb9xkRuw6hjsu/H8V0dRo7V05FoVDQ/90/8fDWBsxNOo/hjxl98N/8IxVqd8DBpUSW9bTs9SFt+001Wn7nylHWznmDgxu+5/XJfxutd3ApQdOuY/NnZ3JAqYRR/d3QaDR8MvsuQfe0AdXaHdHMeK8kg7q5cPRcHBHRWf/eXL6ZyOQfQwi6l0JKqobVPxgnnUwJf5jGmu0Pn3s/cipdnca+Ndrz22fsn7g9uSFq0GEMa37sw5F/fqRczQ7YO2d9fv26f0jL3sbnN+TaUTb8/AaHt3xP//eenl/XEpV4e/pJlErDG5qUpDjWzOrLpWPrqNViCC6e5fNhL7WUChjS2Q6NBmb+8YiQB9rU+JZDCXz8pgM9W9pwKjCZh7Hpmdah0cCGf+PZfzqJhKSnFx6VMp5RvYtRq4IlrepZs/PY0xsAGysFA9rb8jg+nS+XxBD9WFv/jqOJTBvmyGsd7Qi4FU1yisbo+55rf5Uw/s2SaDTwwfSb3ArWXpdXbnrA7GnleaN3cQ6dfER4VDbX5avxvPvlDW4FJ5KSqmHTr9WyLH/q4mPWbQ3nZrBhMrVFQwcmjyrFO0NKMPJj009RX6oi3A+9IOXqOcSqVatQq9W88cYbmQbtGZmZZX1fEBkZSdu2bVm4cCE+Pj6MGTOG5s2bs2XLFtq2bcvRo0dNfm7y5Mn89NNPtGzZkhEjRmBpacn06dMZNmyYQbno6GimTJlCcnIy7dq1Y/To0fj5+bF79246dOjAmTNncr7zORQdHU379u25dOkSvXr14o033qBYsWIALFmyhK5du3L8+HHat2/P22+/jZeXF99//z09e/YkJSXFoJ7cbvvHH3/MoEGDOHfuHF26dGH06NE0btyYAwcO8O+//wLa/u3Vqmn/yEeOHMmkSZOYNGkSAwcOzHSf+vbti0KhYO3atSbXr1mzBoB+/frpl506dYrmzZuzatUqatasyciRI2ncuDHr1q2jTZs2BAUF5eq4ZhQUFESHDh1ITExk2LBhdOrUCX9/fzp37sypU6cMyt64cYPWrVuzYsUKatasyTvvvEP16tVZsWIFrVq14saNG/qyupsrf39//bL09HSOHDlitDzj/9d9Dp6e/5kzZ+Lo6Mibb75J9+7dOXfuHN26deOff/4xuU+DBw9m5cqVNGvWjJEjR1KqVKk8Hx+AmpXs8HK35N/jj/RBO0BCYjprt0Vgbq6kbRPHbOsJi0zl6i3tj0NOqNUYBe0AicnpnA7QdmnwcrfIUV25FbXvKInBz5fN9x72KgDXPp2tD9oBInYeJOrf47i1b4aVt6d+uWefjpg7ORA0f4U+aAdIuveAOz+vwNLNmeKvtH2ubXrWnavHiIkIpnL9rvqgHcDSuhiNOo5EnZbKpePZdw8yM7c0ubxUpcZY2TgQHRGcb9v8PKpXsMbTzQL/03H6oB0gISmdv3dHY26moGXDYtnW8yAqjWtByTluyy9LyPVjPIoMpmKdrvqgHbTnt367kaSrUwk8kffz612hMZY2DjyKNDy/KpW5UdAOYGFlR6lK2mtcTGT+jouq5GuOu7OK45eS9UE7QGKyhm2HEzE3U9Ckhun90FGnw9bDiQZBu275tiPaYL2Cj7nBunqVLbC1VrL3VKI+aAeIfpzOvtOJFLNVUqdi/l+nalW2w8vDkn+PxuiDdtBel9f8E669Ljd1yraesIgUrtxMyHFb3nMo2ihoBzhw/BF3Q5MpVcIKe7ucPYESL1+uMu4nTpwADAOV5/Hpp59y+/ZtJk6cyLRp0/TLd+3aRd++fRkzZgynTp1C+cyUQKdOneLQoUOUKKHNOEydOpVXXnmFzZs3s2nTJnr06AFoM+ABAQFG/ewDAwNp164dX3zxBRs3bsyXfdG5fPkygwYNYs6cOahUT/8Qrly5wqRJk6hatSqbN2/G2dlZv27WrFl8/vnn/PLLL4wdOzZP275jxw7mz59PlSpV+OeffwzqT0tL4+FDbcZo9OjRXLx4kYCAAEaNGpWjANHX15dGjRpx8OBBwsLCKF68uH5ddHQ0u3fvpnbt2lSoUAGA1NRUhg4dikajYe/evQaZ/aNHj9K1a1cmTZqkD/hz6+jRo7z77rt8+umn+mUDBgygd+/ejBs3Th9oA7z77rtERkby008/8cYbb+iXL168mPfff5+JEyfq+/Q3adIEpVKJv78/48aNA7SDsGNiYmjRogUHDhzgxo0blCun7ffq7++PtbU19evX19f74YcfEhgYyJw5cxg8eLB+eUREBK1atWLChAm0bdsWKysrg30KDQ3l8OHDODllf9HOieoVbQE4e8m4/++ZJwF0tYq28E9EvnxfdszNFNSsZEt6uoY7BZBtzy8uLRqSFhfPwyPGN8YRu/xxadkQl+YNuPfnJm355g0AiNxzyLj87kNU+HSctvyKTfm2jSHXtddh38p+Rut0y0Kun8xz/fdunSUp4RElytY1uT4pMZbzh9aQGBeNlY0DJcrWwa1E5n3fn1e1ctYAnLuSYLTuXKB2WdWy1qwjukC+39ZaSbsm9tjbqnicoObKrSSCQwumGwXAvRva8+tTyfj86pbdu5n38xt6+yzJCY/wKmP6/D4rLTWZu9ePgUKBS/H8y7aDtpsMwKVbxscz4Mmyij7m/EPW3WUyo34Sk6c/k02o+CSQv3zLOLN96WYqPZprg/2jF/P3WlW9kh0AZy4Zd706HfD4SRlbeIHDzNLU2mOjNpVxeckUhWA6yDNnzjB9+nSOHz9OWloaVapUYcyYMfTsadxdMDOhoaH89NNP/Pvvv4SEhGBra0vZsmV54403ePXVVw1ixZzIVeAeHq4diOPp6Wm0zt/fn0OHDH+8/Pz8Mg3yU1JS+Pvvv3F2dub99w0fabdv355WrVqxf/9+jh07RpMmTQzWjxw5Uh+0A1hYWDB16lQ6derEypUr9YG7paWlycGxlStXxs/Pj3379pGammrQveZ5WVhY8MUXXxidiN9//520tDRmzpxpEFQDjB8/nvnz5/P333/rA/fcbvuSJUsA+Pbbb43qNzMzw93d/bn2q1+/fhw9epS//vqLd955R798/fr1pKSk0LdvX/2yHTt2EBwczEcffWTUpadx48Z07tyZrVu3Ehsbi729fa63xcHBgffee89gWZs2bfTB9blz56hVqxYhISH4+/tTqVIlhgwZYlB+6NChLFq0iIMHD3L37l1KliyJo6MjNWrU4OjRo6SlpWFmZqbPqn/00UccOHCAgwcPUq5cORITEzl9+jSNGjXCwkKbmYmKimL9+vU0b97cIGgHcHNzY+zYsUyaNIl///2Xjh07GqyfMmVKvgXtACU8tNt0P9z4hyc6No2EJHWBZb4BHIqp6NLKBaUCHIqZUa+6He4uFvy5OZzQ8IILep6HysYaKy93YgOuQrrxo/n4J33bbcs9vdm1Le+rXXfdOBOpW2ZT7vmenjwrOjwIACd343rtHNwwt7QhOjznmdHblw9x/9ZZ1GkpREfc4ebF/VjbOdG6j+muWhF3r7Br5TSDZaWrNKPTkBnYFnPJ+Y7kkKebtp2GRhgHWTGP1SQmpePpln/X8GeVLmnJqP6G188zl+OZuyKcR3GZjHp8DjERQQA4uhmfX1t77fmNicj5+b1z5RCht7XnNybyDkGX9mNl60SzV0yf34THUVw4tBI06STERRF0+SBxMaE06PCOyW16Hh7O2t/J8IfGxzE2XkNScjruznnPBPvV1GbrL902bDu6Oh9EG3+vbpnHc3xvZkoU17ble2HG18DoR2kkJKrx8sj6CUN+qlDaGt+SVly9lUB8Qubdkf5fHTx4kN69e2NlZUWvXr2ws7Nj8+bNvPnmm9y9e1cfr2UlKCiINm3a8PDhQ9q0aUPHjh15/PgxW7duZeTIkRw8eJCff/45V9uVby9gOnToEDNmzDBanlngfu3aNZKSkmjWrJlB3+6Mn9u/fz8XL140Ctyf7ScM0KBBA8zMzPT9snUuXLjAnDlzOHbsGA8ePCA11fAPOCoqyiCD/LxKlSqFi4vxj5euC8e+ffs4cOCA0Xpzc3OuX7+e520/ffo0lpaW+PkZZ2nywyuvvKLPkmcM3NeuXYuZmRl9+vTRL9Pt640bN0zOiR8eHk56ejo3b9406EueUzVq1MDOzs5oua5b0IULF6hVq5a+LTRt2tRoNgSlUkmTJk24du0aFy9epGRJ7UDGZs2ace7cOc6cOUODBg04dOgQFStW1E976u/vz9ChQzl+/DgpKSkG7fvMmTOo1WpSUlJM7vetW7cAuH79ulHgXrduzrJfOWVjrf3RiU80fTFOSEzH1rrgHo06FjNjUPenwU5qWjpL1oayPgcDYl8WMwdtd4u0R6ZnKUmLjTMoB2Bmb/fkM8YZNF15c4fsu3HkRnKitl5LK9P1WlrZkZxovD2ZCQo8zKm9v+n/v6NbKboN+5HiPsb9Zuu1GUqF2u1xdvdFZWZOxP3rHN3+M7cvHWT9z28z6IM1JrtbPA8ba23WLSGztpyUri+T3zbtjebo+Xjuh6eQptbg42nJqx2cqFvVlo/e9mTKj3dNdg17HslJ2vNrkcn5tbCyIyUp5+c3+Ophzu5/en4dXEvRaciPuHub7hedGBfFiZ3z9P9fqTLHr/uH1M7BgNjcsrbUXpcTk00fxMQUjb5MblUra06L2lbcj0jj0DnDbiLWltr2kphk/L1JT7Ylr9+bFVv9ddn0DV9CUsFelzOysVby3lveqNM1LFkb+kK+M7de5lzraWlpjB8/HqVSydatW6lRowagfarepk0bvvzyS3r06JHteL25c+cSFRXF9OnTGTVqlH75tGnT8PPzY+XKlUyePDlX4/5yFbi7ublx9epVQkND9d0idKZMmaIfTPf3338b9Td/1uPHj/V1muLh4WFQLiNT2WOVSoWzszOxsU+nmzt+/Djdu3cHoFWrVvTo0QNbW1sUCgVbt24lICCA5OT8fRSW2f5ER2sf437//fc5qie32x4bG4unp6dRt6L84ujoSIcOHdi8eTNXrlyhUqVK3L59W99fP+N+6/Y1sz7xOvHxeRuwl9nTA93yR4+0U2rlpY01a9aMuXPn4u/vT926dTl69Ki+736zZs3YvXs3kHn/doBjx45x7Fjm0wCa2u/nfSJS2Ny5n0yX4QEoFeDqbE6LBg4M7ulB5XI2TF8YYiqhLV6SVr0n0ar3JFKS4okKu8mRbfNZ+f0AOr7+DVXqdzMqm1GJMrXpPeoX1sweQsj1E9w4v5cKtdu/yM0vUMs2Gd5oXgtK4ptFoXz+TgmqlbemfnVbjl8o3LNxNOsxiWY9JpGSHM/DsJuc2DmfdbMH0HbAN1Ss282ovItnBcb9dJX0dDVx0aFcPbOVI1tnERp0lk5DfkKpKvwvXPf1NOPtnsVITNawcP3jTKeD/H9lYa5g6lhffLysWPpXKBevFO42/DIcPHiQ27dvM2jQIH3QDton/hMnTmT06NGsWrWKSZMmZVEL+vF87dsbXhcdHR314/4ePnyYq8A9V1Few4YNAeNBenmhG7AZEWG6j62uW46unKl1GanVah4+fGjQ9eKHH34gOTmZjRs3snr1ar7++ms++ugjpkyZog/a8ltm89zq9iMkJISYmJhM/+V12x0cHPSZ7IKiC2B1fdNNDUqFp/u6evXqLPc1r08HTJ3/jMsdHBwMtiM3baxx48b6LjLnz58nNjZWv53NmjUjIiKCwMBADh06hK2trUGmXFfPO++8k+V+Z5yBRie/50dOeJLRsc0kE2ljrcw065Of0jXa6fTWbY9k+cZwmtRxoGNz5+w/+BLosuZmDsZPc8B0dt1UFv7Z8qkmsvHPw9JaW29yJlnX5KQ4LK1zn+W3sLLF07cGPd+ej3PxMuxaOY2Ex9nPpqJQKqnRVDuo996t/B/wr8u0Z5ZVt7FSZpqNLwgaDew5qk0OVC5jlU3p3LO00p7fzLLqKUlxmWbjs2JhaUvxUjXoOmw+Tu5l2LdmGglxmZ9fpVKFvUtJ6rd7m8ZdJnDzwm4CjmadjMmtxGyy29YWikyz8Zkp5WnGuwPs0Whg1qpY7kcaX+cSk7XtxdrK+HutsnkK8Dzi9ddl01l1G6uCvy6bmyv4dLwvtarYsXpLOGte0DinPFEoC/ZfFnRdv1u3bm20rk2bNoB2lsDsVK6sHWC+a9cug+UxMTEcO3YMDw8PKlbM3RihXAXuAwYMQKlUsmzZMqKinu+Rd4UKFbCysuLMmTMkJBgPOtIdNN3UhBmZmm3mxIkTpKWlGZS/ffs2Tk5ORl1rEhISOH/+/HNtf27Vq1cPwGjWk8zkdtvr1q1LcnKy0TgDU3T973Mb5Ldv3x5nZ2fWrVtHeno669ato1ixYnTubPhCEN2+njyZ9wFUWblw4QJxccbdGXTtQnd3rGsLR44cQaMxvAhrNBr9INaMbaZYsWLUqlWL48ePs2fPHhQKBc2bNwfQ/++OHTv0XWkyjo+oU6cOCoWiwPY7N+490Pah9HI37i/pZG+GjZWK+y+4r7luoKxu4Gxho05IJOn+k/nfTTy50vVtj88wj3v89SDtuvIm+iM/WfbsvO/Py8ndF8BkP/a4RxGkJieY7P+eU0qVGT4VGpKanEBY8MXsPwBY22nHZ6QmG1/Ln1dohLadmurH7lhMhbWV0mT/94IUG6e9dlpa5P8TTkc3XwCT/djjY7Xn93n6mitVZpQs35DUlATCc3h+fSo+GRT7ZOBsfnnwpG+7qX7s9rYKrCyVJvu/Z6aUpxkTB9ijUGiD9qBQ01OE6ur0cDL+Xt2yB7n43pzS9W3X9XXPyMnBDBtrFfcfFNzgfQtzBZ+N96VOtWKs2xrOsr/DCuy7irqbN28CULZsWaN1Hh4e2NnZ6bu/ZmXcuHGUK1eOjz76iD59+vDpp58yceJEGjZsiEqlYsWKFVhbW+dq23J11SlXrhzjx48nIiKCPn36ZLrRuq4KWbGwsKB3795ERUXx448/Gqzbs2cPe/fupUyZMjRq1MjoswsXLuTevXv6/5+SksKXX34JYDCtobe3NzExMQQGBuqXqdVqpk6dSmRk9i85yE/Dhg3DzMyMDz/8UD+PekYxMTEGAXlut334cO3c0pMnT9Z32dBJS0szyFLrBkHevWv6LZCZMTc3p1evXty9e5fZs2dz8+ZNunXrZtToOnfuTMmSJZk/f77JO9LU1NRMp/rMiUePHvHDDz8YLNu7dy8HDhygSpUq+rncvb29adasGYGBgfzxxx8G5ZcuXcrVq1dp3ry5vn+7TrNmzUhMTGTRokVUq1ZNf7xKlChBmTJlmD9/PqmpqUbjNzw8POjZsyfHjx9nzpw5RjcLoL1xM3Wjmt90L9OoXdU4e1ynmnZZwNUX+3jU2VH7iF2tLnyzF+hEHTyBmZ0tzk3qGK1za6893w/9n96Y6f7bta3x0yO3dn76OvOTd3ntLEZBgcY36bplujJ5FRejvV4oVTkb9BkapL12Objk7aVXWbl0Q9s/uVYl47FQtSprl126mbdZR/KqvK/2hjg8m/cg5EWJstpzF3zF+PzqlunK5FX8o9yd3/hHD56Uz99uMteCtcevahnjQLbak2VXg3N2jHVBu1IJP62O5fb9zOf1vxqsXVeljPH+Vy1rbrBt+eniVW3yok5V4ycmdatplxVUtxWLJ5n2OtWK8df2CH5bV/iDdoVSUaD/sqLrdp3ZBBrFihUz6JqdGXd3d3bv3k3btm3Zs2cPs2fP5rfffiM2Npb+/fvrp+fOjVz/FU6dOpWUlBTmz59P/fr1adKkCdWqVcPGxoaIiAguXbrE6dOnsbOzM5ktz+jzzz/n8OHDfP/995w4cYJ69eoRHBzMxo0bsbGxYf78+Sb7bNerVw8/Pz969eqFjY0NO3bs4Pr163Tr1k0/owzAiBEj2LdvHx07dqRnz55YWlpy6NAhQkND8fPzy1F2Or9UqVKFH374gYkTJ1K/fn3atWtH6dKliYuLIygoiMOHDzNw4EBmzZqVp21v3749Y8eOZe7cudSpU4euXbvi5ubG/fv3OXjwIO+88w6jR48GtJnjuXPnMmHCBLp3746NjQ3e3t70798/2/3o168fixcv5ptvvtH//2dZWlqyfPly+vTpQ5cuXWjevDlVqlRBoVAQEhLC0aNHcXZ2znNmunHjxixZsoRTp05Rv359fZuxtrZmzpw5BmV//PFHOnbsyPjx49mxYweVKlUiMDCQ7du34+rqanTTCNrAfdasWURGRhrMlqNbt2zZMv1/P+uHH37g+vXrTJs2jdWrV9OgQQMcHBy4d+8eZ8+e5ebNm1y9etXkgOz8dC4wjtDwFFo2dGDL3ij9XO421kr6dnYjNTWdvUdj9OWdHMywtVby8FHac3U7KF3SiuDQJNTPJKvsbFUM6aXt4nXyQv52HckLcxcnLFydSImMJjXq6Y1uyOK1lOjflQqfjzd4AZNbh+a4tGxIxC5/g7ni76/bTqVv3sd3zGvcXfqXfi53qxIelBr9GskRDwnbuCdft71UxcY4uHoTePIf6rQcrJ/LPTnxMcd2LERlZk7Vhq/oy8c9Cic58TF2Du4GXWjC7lykeCnja/Tty/5cP78HS2t7vErX0i+PuHcV5+JlUD0T7N27eYYTuxajVJlToU5H8tuFawmERabSrK4dWw/E6Odyt7FS0rudE6lpGv7N8GZTJ3sVNlZKomPVJCTlvS37eFpw70GKfkpBnYqlrejZRvu9R86ZHsj8PLwrNMbexZurZ/6hZvPB+rnckxMfc3L3QpQqcyrXf0VfPv5ROMlJj7G1Nzy/D4Iv4uFjfH7vBPpz86L2/Hr61tIvj7h3BefiZY3Ob1J8DEe2an+XfKu0yMc9hcDbqYRHq2lY1ZK9JxP1c7lbWyro3NSa1DSNwZSMDnYKrC2VPIpLN+jKUqq4iokD7FE9Cdpv3cv6ZVynApPp09qGNvWsOXw+WT+Xu1MxJa3rWvM4Pp0zV/P/ieS5y3GEhifTsrEjm/ZE6udyt7FW0q+rO6mp6ew58vR65ORghq2Niocxqc91XTbPELT/vSOCJWsK52DU/6Jbt27Rv39/bG1t2b59O9WrV+fRo0esXbuWr776in379rF9+/ZcTQmZ68BdqVTy9ddf07dvX37//XeOHDnC2bNnSU5OxsnJiUqVKvHll1/Sv3//TAcF6ri6urJ3715mzpzJtm3bOHr0KPb29nTp0oVJkyZl+ubUb7/9lo0bN7J8+XLu3r2Lh4cHkydPZuLEiQblOnbsyLJly/jxxx9Zu3Yt1tbWNG/enD///NPkDDgFbciQIVSvXp358+dz5MgRduzYgb29PSVLlmT06NEGbyXNy7Z/+eWX1K9fn19//ZVNmzaRnJyMh4cHzZo1o1WrVvpyunngly1bxrx580hNTaVp06Y5Ctzr169P2bJluXnzJiVKlMh01qA6depw6NAh5syZw+7duzl+/DiWlpZ4enrSpUsXevfuncuj95Svry8//vgjn376KYsXL0atVuPn58dnn31m9ObU8uXLs3//fmbMmMHevXvZtWsXrq6uDBo0iEmTJpkcENKoUSPMzc1JTU3Vd4/R0QXudnZ2JmfEcXJyYteuXfz666+sX79e363I3d2datWq8cEHH5icdSi/pafDnGX3+OLdUsz4sDQHTzwiITmdpnXs8XC1YPHaUIO3873Ry4O2TZ2Y9dtd9hyJ0S+3t1Mx7NWnsy6pVArs7VS8++bT6ViXrAsj9sm0eK+0c6F+jWIE3kgg4mEqyanpuLtYUL+6HdZWKvxPPuLAieyfyOWF99A+ODXVjjmwr1bhybJXcW6hnWs9+vBpQn77CwDf0YOoMG0s176Yy/Uvn86gEXXgOMFL1uIzrC/NTqwnfPsBLD3d8Hy1MylR0VyaYPjK97SYWC6N/5Jay77D78QGQtdtA8Dz1c5YuDhyZuC7+frWVNBmPTsO+op184azetYgKtXtgoWVLdfO7iL24T1a9ppkkPk+uOlHLh3bQKfXp1OtcS/98j9m9MHVqwJuJSpQzLE4qSmJRNy7yt0bp1CqzOn4+jdYWD69wTy593duBfxLibJ1sXfyRKkyIzL0OkGBh1GgoG2/aTi55f6NyNlJT4efV4UzdZQXX40vyaHTj0lKTqdRTTvcXcxZuiGSiIdPA7VB3Vxo3dCeuSsesD9DQF/MVsmQV56+OFClUlDMTsU7g54ODF+2MZLH8doAqXtrR+pWteXKzUQiY9JQqzV4e1pQs6INGuDXdRE8iMz+7eC5pVSZ0ab/V2xaOJy/5g6iQp0uWFjacuP8Lh5H38OvxyTsM5zfI//8SODJDbQdMJ0qDZ+e3zU/9sHFswKuXhWwc9Ce38j7V7l/S3t+2w74BvMM5/fcv0u5fXk/nqXrUMzJCzNzSx4/vE/Q5QOkpiRQrlZHKtTpmq/7mq6BZVvjeHeAPR++7sCJyykkJ2uoU8kCV0cVa/fEE/XoacDaq6UtTWta8duWxxy5oA3oba0UTBzogK21kos3U6hS2oIqpQ0z+AlJ6ew5meGFR0kaVu6MZ3iPYkwd5sjJy9q66lexxNZGwS/rH+f7W1NB25Z/+u0uX71fmu+mlOXA8RgSktLxq+eAh6sFv66+T3jk0+vym68Wp52fMz8sDmHPoacBvb2diuH9n07LrbsuTxz+tF0sXh2qvy6PHVKCOtWK8TAmlcSkdAa9YjxObvehhwbfXSi8xHncdZn2zLLqjx8/xtHRMdt6Ro8eTUhICOfOndOPT7Szs+Pdd98lPDycBQsW8PfffxslCbOiiImJKbzPrYXI4M6dO9SsWZMBAwawYMGCl705L8XA94y7WWWlQmlrBnV3p3JZG1QqBXfuJbFhdyT+Jw0vRu++WcJk4O7uYs7vM7IeOPPmpKv6m4CalWxp08SRimVscHYww8JcyeP4NG4EJ7H3SLTR92Zn9LKc3+DVWDId78G9Ml0fsnw9F4ZpZ74qP/Udk4E7AAoFvmNew2dYX2zKlUIdl0Dk3iNcnTaLhFumj79b+2aUnfw2DrWrgAYenQng+jcLiNqXuy5hoTuu5rxs0AUO/zOHe7fOkq5Ow61EBeq1fpNK9QzHnGxbPtlk4H5sxy8EXztOVNgNEuMeolAoKebkiXeFhtRrNQQXT8O+ndfO7ebSsQ1E3LtKQtxD1Gmp2Nq7UrJsXeq2HoKnbw1yY9umG9kXyqCcjyX9OztTsbQVZioFd+6nsGV/DIfPGma93xnkbjJwd3M245fPfLP8jrc/C9LfBDSsYUvLBsUo5WWJQzEVZioFMbFpBN5K4p9/Y7gRnLu+yG06lctV+bA7Fzi+fQ6hQdrz6+JZgdot36RCHcPzu/vPySYD95O7f+HujeM81J1fpZJijp6ULNeQWi2G4Fzc8PyGXDtK4IkNhN05T3xsBOrUZKxsHXErWYXK9XsafW92zp7JeXfU0l5mdG9uQ9kSZqhUCu6Fp7H7eCInAw2z3m92tTMK3F0clMx4J+sB75ExaibPN35BV9Uy5nRpaoNPcTPQaLgTpuafQwkEBuUugL13PXdvbK5Q2prXenpQpZwtKpWCoLtJbNgZwcFnkhoTh5c0Gbi7u5qz7PvKz1ZrYMj7gfpAfMbkMtSoZHrQvc6H397McTed1bPzdz7/zCh+/7xA69e8+Wmm67744gt+/PFHlixZYpRofPDgARUrVqR58+b6Fzia8vjxY7y9valZs6bJacC3bdvGwIEDeeedd/jqq69M1GCaBO6iyJDAPfeBe1GXm8D9vyA3gXtRl9vAvajLbeBe1OUmcC/qchu4F3UvKnBXLv2iQOtPf2Napuv27t1L7969GTRoEPPnzzdYt3LlSkaPHs2UKVOynA7y4cOHlClThpIlSxIQEGC0fvny5YwbN4733nuPqVOn5ni7X/77ZIUQQgghhCgkWrRoga+vL3/99RcXLlzQL3/06BE//vgjFhYWBt2Lw8LCuHbtmsHkLM7OzpQvX567d++yfPlyg/pjYmKYN0/7tDezLseZKfxvUniJ/vzzT4KDg7Mt16VLF4MJ+kXO/fzzzzmahSjjbEFCCCGE+I97iX3czczMmDNnDr1796ZLly706tULOzs7Nm/eTEhICF9++SWlSj198vD555+zatUq5s+fz6BBg/TLv/nmGwYMGMC4ceP4+++/qVGjBjExMWzfvp3IyEi6d+9Oy5Ytc7dt+bWT/0UrV67M0QT7Pj4+Erjn0YIFC0xOj/ksPz8/mjVrZvCSKiGEEEL8N2U3ZWNBa968OTt27GD69Ols2LCB1NRUqlSpwueff06vXpmPp8qoXbt27Nq1izlz5nDs2DEOHz6MlZUVFSpU4MMPP2TYsGG53i4J3LOwdevWl70J/3kXL+bsBSBCCCGEEC9S3bp1+euvv7Itt2DBgkzH3tWpU4elS5fm2zZJ4C6EEEIIIQoXhQzDNEWOihBCCCGEEEWAZNyFEEIIIUTh8pL7uBdWknEXQgghhBCiCJCMuxBCCCGEKFQU0sfdJDkqQgghhBBCFAGScRdCCCGEEIWL9HE3STLuQgghhBBCFAGScRdCCCGEEIWKQim5ZVPkqAghhBBCCFEESMZdCCGEEEIULgrp426KZNyFEEIIIYQoAiTjLoQQQgghChfp426SHBUhhBBCCCGKAMm4CyGEEEKIwkX6uJskGXchhBBCCCGKAMm4CyGEEEKIQkXmcTdNAnchhBBCCFG4KCRwN0WOihBCCCGEEEWAZNyFEEIIIUThopTBqaZIxl0IIYQQQogiQDLuQgghhBCiUFFIH3eT5KgIIYQQQghRBEjGXYgipG6zCi97E16o0AFXX/YmvFCeHSu+7E14YaovCXjZm/BCrf31yMvehBdKnZr6sjfhhWnXr8nL3oQXLOHFfI30cTdJMu5CCCGEEEIUAZJxF0IIIYQQhYv0cTdJjooQQgghhBBFgGTchRBCCCFE4aKQPu6mSMZdCCGEEEKIIkAy7kIIIYQQonBRSm7ZFDkqQgghhBBCFAGScRdCCCGEEIWLzCpjkhwVIYQQQgghigDJuAshhBBCiMJF3pxqkgTuQgghhBCicJGuMibJURFCCCGEEKIIkIy7EEIIIYQoXOQFTCZJxl0IIYQQQogiQDLuQgghhBCicJEXMJkkR0UIIYQQQogiQDLuQgghhBCicJE+7iZJxl0IIYQQQogiQDLuQgghhBCicJF53E2SoyKEEEIIIUQRIBl3IYQQQghRuMisMibJURFCCCGEEKIIkIy7EEIIIYQoXGRWGZMk4y6EEEIIIUQRIBl3IYQQQghRuMisMibJURH/Wf7+/jg6OjJ9+vSXvSlCCCGEEM9NMu7ipRk+fDh//fUXixcvpk+fPpmWi42NpWLFipibm3P16lWsra2f63urV68OwMWLF5+rnqLAy0VB61oqvN0VqBTwIEbDkUvpXLqTnqPPly+hoKK3Eh83BY52CpRKeBirISAonSOX0kl7pppWNVW0qqXKss7T19VsOqLO6y5lKTToAoe3zuX+rbOkq9Nw9apAvTZvUKlu5xx9/talA1w6tpHwu4HEx0aiTkvF3tmTEmXq0KD9Wzh7lDb6zHejK2ZaX9VGPek8+Ns8709mSgzsjpNfXRzqVKNYtQqoLC04P2wyd5dvyF1FCgW+owfhPbwvtmVLkRaXQOTeI1ydNovE23dNfsS1nR/lJr+NQ+2qaDQaYs9c4vo3PxO1/1g+7FnmvFwUtKqpNGjLRy+nc+mOJkefL+eloJK3Am93JY62PGnLEBCUztHLxm25ZU0lrWpm3ZbPXE9n09GCacuVytnxZj9vqlYqhplKwa3gBNZtvs/+I1E5rsPcTMHAniVo38INN1dLHselcfTUQxavCiHmUapReTtbFa/3KYlfA2fcXS1JSFBz7nIsv68OJigkMT93z0Cl8sUYNrAU1So5YGam4FZQPGs23WXfoYgc12FupmBQHx86tHLH3dWKx49TOXIyikUrgkzuq4WFkp6dvGjfyh0vDytAwYOIJPYdiuDvf+4Rn1Aw5xW0bbllDSXebtprani0hqOB6VwOznlbrlhSgbebEgdbUCkh6jFcCkrnaGA6ahOXd4UCapZRUKecEudiCsxUEBsP1+5pPxOflM87mR+kj7tJEriLl+b111/nr7/+YsWKFVkG7n///TeJiYkMGDDguYP2/yeliyt4va0ZaWptcJKcClVKKenX0owdJ9M4cjnr4N1MCa+3NSdVrSEoTMON++mYqaCcl5K2dcyo5JPO7zvSSM3w+3Y7LB3Oma6vTnklDrYKbtzL2Y9TbgVfPca6ecMxM7egUt0uWFjZcu3sLrYseZfH0WHUbzs02zpuBRzk/u3zePrWoHRVd5RKMx6G3SLg+EYun9xC7zGLKFWxsdHn7J1LUK1RT6Pl7iUr58u+PavC5+Ox8S1JcsRDkkPDsfEtmad6qi/4Ap9hfXkccI2geX9g6eWOZ59OuLVrymG/fiTcuGNQvsTA7tRa9h3J4VHcXb4eAM9XO9Nwx++cGTCBsPU7n3vfTPH1UPB6W9WTtqwhJVVD5VJK+rYwY+cpdQ7bspm+Ld+8r8FMBWW9lLSto6KSj4KlO9UGbTkoTMN+TAdvdco9acv3c3YDnFu1q9nz3dQqpKSms+9QJAlJ6TRv5Mxn71fEbWkQazffz7YOhQK+nlKJhrWduHT1MQeORVHS05oubT2oU8ORUZMv8Cg2TV/e3s6Mn7+tjreXNQFXYjl8MhoXR3OaN3ahYW1H3v30EoHX4/J/X6s78uPn1UlJTWfvwXASEtW0aOLGF5Oq4O56k9UbTd9APruv335SjYZ1nQm4EsuBI3cp6WVN1/ae1K3pxNvvnyUm9mnwrlIpmPt1TapWsufazcds2/sAgDrVHRnxemnaNnfnrffOkJyc/+fX10PBa62ftOU7T9qyj5JXm5ux67Sao4FZf6dKCYNam5Gm1hD0QMPNUA1mSm1bblNbRSVvBUt3q0l7pun2aaaiio+SqFgNl4K0N6olXRU0raqiRmklv2xLK5zBuzAigbt4aZo3b06pUqU4ePAgISEheHt7myy3YsUKQBvoi5xRKqB7YzM0wG870giL1gbL/55X83YXc9rWUXHpTjqP4jOvI10De86kceJqOkkpGetW07+VGZW8lTSopOTwpac/NEEPNAQ9MA52bK2geQ0l8UkaroTk/49hujqNnSunolAo6P/un3h4awPmJp3H8MeMPvhv/pEKtTvg4FIiy3pa9vqQtv2mGi2/c+Uoa+e8wcEN3/P65L+N1ju4lKBp17H5szM5cOHtT0i4cYfE4PuU/eAtKn3zfq7rcGnREJ9hfYk6eILjHYeiSdUGNvdX/UODf36l2uypnOgyXF/ezNGeqj99QnLEQw416EnSPW2wc/O7X/E7uZFq8z4jYtch1HFZNKo80LZlFRrg951phEVrl/97IZ0Rnc1oU1uZo7a896zaRFtOp19L1ZO2rDHRlo1vMm2toHl1XVvO/5tQlRLeH1WWdA2M+ySAG0EJACxbG8LCGTV4a5APB45G8SAiOct6OrZyp2FtJ/YcjODLn67rl3dv78F7I8syfKAPPyy8pV/+Zn9vvL2sWbP5Pj8vDdIvr7otlDlfV2fSmHK8+e45NPm4yyolTHqnAukaGDP5HDdua0/i76vv8OsPdRgxuDT7D0dku6+dWnvQsK4zuw884PPvr+iX9+joyQdjKvDW6758N//pMWjR2JWqlew5cCSCj6dfNqjrm4+r0ryRK62auLFj/4P821m0NxjdGj1py7vTePCkLR+4mM7wTma0rqXkcnDWbVmjgX3n1Jy8ZtyW+7ZQUbGkkgYVNQY3s14uCqr4KLkbmc7vO9WkZziHHetpaFhJRd3ySg5eLJgb0TyTedxNkqMiXhqFQsGgQYNIT0/nzz//NFkmMDCQ06dPU7VqVWrXrk1aWhrz5s2jadOmFC9eHB8fH7p27cr27duz/b47d+7g6OhISEgIISEhODo66v/p+sGnpKTwyy+/0KtXL6pWrYq7uzvlypXjtdde4/z58ybrTUhIYNq0aVStWhUPDw8aN27MsmXLsuxjHxQUxNixY6lWrRru7u5UrFiRUaNGERwcnIsjmLnSngpc7BVcvJWuD9oBklPh4EU1ZioFtctm/eefroGDFw1/HHTL/S9qg3Nfj5xdQmqXVaJSKjh/y/Rj3Od15+oxYiKCqVy/qz5oB7C0LkajjiNRp6Vy6Xj23UjMzC1NLi9VqTFWNg5ER+TP+XleUfuOkhicfdY1K97DXgXg2qez9UE7QMTOg0T9exy39s2w8vbUL/fs0xFzJweC5q/QB+0ASfcecOfnFVi6OVP8lbbPtU2mlC7+pC3f1uiDdjBsy7Weqy1rG2Qpj5w9lq/1pC1fKKC2XLu6AyU9rdnrH6EP2gHiE9Ss+PsuFuZKOrZ0y7aerm3dAVj0p2Gb3bzrAffCkmjbzA0Li6fHza+BM2q1ht9XG5a/dC2Oo6ceUtrHhlpV7Z9n14zUqelESS9r9hx4oA/aQbuvy9cFY2GupFOb4tnW062Dtp0uXHbbYPmmHaHcC02kXQsPg331Km4FwLHTD43qOnpS2xXJ0cE89zuUjdLFFTgX07blB8+05UMB2rZcs0z2bdk/wHRbPhTwpC27G7ZlJzvt/94O1RgE7QDX7moX2Jq+9L1UGoWiQP8VVRK4i5dq4MCBKJVKVq5cicZEKkcX0L/++utoNBoGDx7MJ598QnJyMsOHD6dPnz4EBAQwYMAA5s+fn+V3OTg4MGnSJOzt7bG3t2fSpEn6f35+fgBER0czZcoUkpOTadeuHaNHj8bPz4/du3fToUMHzpw5Y1CnWq2mX79+zJkzBwcHB0aOHEn9+vX55JNPMt2eU6dO0bx5c1atWkXNmjUZOXIkjRs3Zt26dbRp04agoKA8HElDpZ8E1DfuGx/TG/e0F3ff4nn/89cFLM/+CGSmTnltX+HT1wsmoxNy/QQAvpX9jNbploVcP5nn+u/dOktSwiNcvcqbXJ+UGMv5Q2s4tmMh5w6uIuLe1Tx/14vi0qIhaXHxPDxyxmhdxC5/bZnmDZ6Wf/LfkXsOGZfffciofH7xLa79gb1polvKzSft2zeHQbcpujacnsOmWaec9u+moNpy7WoOAJw8F2O0TresZjYBtIW5gsrli3HnboLJbPWp8zHYWKuoVNZWv8zZ0ZxHj1NJTDLer9AH2jpqV3fI6W7kSO1qjgCcOBtttO7EGW1QXata1t9pYa6gSgX7TPf15Llo7b6WK6ZfduuO9iahUV1no/KN67uQnq7hzMWYnO5Gjuna6c1Q42Osu1Y/G3TnRmbX5YhH2gWlPRUon6m+QkntglthBdOFUeQ/6SojXqqSJUvSunVr9uzZw8GDB2nRooV+XVpaGmvXrsXS0pJ+/fqxevVqtm3bRtOmTdmwYQMWFhYAvPvuu7Rs2ZJPP/2ULl264Ovra/K7HB0dmTJlCitXrgRgypQpJssEBATg5eVlsDwwMJB27drxxRdfsHHjRv3yP//8E39/f9q1a8fq1atRqbQB6ujRo2nZsqVR/ampqQwdOhSNRsPevXupWbOmft3Ro0fp2rUrkyZNYs2aNTk6fplxttdejKNijS/GcUmQnKrBuVjefyB0wUtO+viWclfg6qAgJDydiJiC+XGIDg8CwMm9lNE6Owc3zC1tiA6/Y7QuM7cvH+L+rbOo01KIjrjDzYv7sbZzonUf4zYDEHH3CrtWTjNYVrpKMzoNmYFtMZec78gLorKxxsrLndiAqyYj1vgnfdttyz09nrblfbXrrhsfR90ym3LGx/95uRTLQVu2z3tbrl1OF0xl3zZ9dG05Ip2IR3n+yiyV9NRmg++GGnc4fhiTSkKimpKeWY/18SpuhUql4J6JOjLWXdLTmguBjwF49DgNR3tzrK2URsG7p4c2Hevtlb9jjHT13b1vPPD1YUwqCQlp2X5nCU9rVCqFyToy1u3tZc2Fy9qTduTkQw4ejaRFEzd++6kOZwO0y+tUd8TTw4qZ869x7Wb+9+fXXXMfPjZua/FP2rLL87TlsqbbcngMHAtU06iyitHdtGMz1E/6uHs6K9h/Xs3Vu4UwcJfpIE2SoyJeOl3fdV1fdp0dO3YQHh5O586dcXJyYtWqVQB88cUX+qAdwNvbm9GjR+sD/edhaWlpFLQDVK5cGT8/P44cOUJqhm4Fuu/75JNP9EE7QKVKlejfv79RPTt27CA4OJixY8caBO0AjRs3pnPnzuzevZvY2Njn2g+rJ4cnOdX0xTg59WmZ3CpfQkG9CkrCYzScyUHWsU75gs1QAiQnan9kLa2KmVxvaWVHcuLjHNcXFHiYI9vmcXzXIq6d3UkxJ0/6vLOY4qWqG5Wt12YoA99fzTszjzH+x9MMfH81pas25/Zlf9b//Dbp6QU3O0VemTloj1PaI9PBSVpsnEE5ADN7uyefMT6OuvLmDqaP//Ow1Ldl0+uTU8Eqj70aynkpqFc+F235yQ1rTsrmla2NNp+W2awm8Qlp2NpkPduNro64TOpISEh7Uu5pPcfPRKNSKRjS13CsUeXydjSu6wSAXTbfm1u2tqon25lmcn18olq/L5nWodvX+Ezq0O2rreG2fzz9Eiv+CqZcaTv69ShJvx4lKV/GjoPHIjlp4glAftC102e7uegkp4Llc7TluuWVRMRoOHvDuH3uPJ3OjpNqHG2hYSUVTaqo8HFXcitMQ2BwIevbLrIkGXfx0nXu3BlXV1f++ecfHj16hIOD9tHos4NSL1y4gI2NDXXr1jWqo1mzZkD+TPF44cIF5syZw7Fjx3jw4IFBoA4QFRVF8eLafpcBAQHY2toaBeEADRs2ZOnSpQbLTp06BcCNGzdM9n0PDw8nPT2dmzdvUrt27efel/zm5aLg1eZmJKXCmgNp2fbxtTSHqqWUJKdqp5AsKlr1nkSr3pNISYonKuwmR7bNZ+X3A+j4+jdUqd/NqGxGJcrUpveoX1gzewgh109w4/xeKtRu/yI3X+SAti2rSEqFtTluy4onbbkQZief02+rQ2hQ24kBr5SgasViXL72GBcnC1o0diHobiLlfG3zdWDqy2RpqeSz9ytTpaI9n30XyKnz2kC9Xk0nxo8oR6M6zox4/wxh4VkPii0svFwU9PFTkZwK6/xNt+WuDVVU81Ww/VQ6V0LSSVWDj5uCjvVUDO9oxrI9au5HFbITLBl3kyRwFy+dubk5/fr1Y/78+fz1118MGzaMBw8esGfPHkqWLKnvcvL48WNKlDA9K4iHh4e+zPM4fvw43bt3B6BVq1b06NEDW1tbFAoFW7duJSAggOTkpxfzrLbJ3d3daFl0tPYHIrsnA/Hxzzczhy6jY2muAIwvxpbmkJjL3yQvFwVD2mlnqlm+Oy1H3V6q+SqxMFdw+pqaFNMJsXxhaa3NBicnmT7/yUlxWNnkvn+uhZUtnr416Pn2fJbP6M2uldPwrdQUm2LGfWMzUiiV1Gj6KiHXT3Dv1plCF7jrsuZmDnYm15vKrmfMwqc+jDFZPtVENv55Jevbsun1luaQmEkGMzNeLgoGt9XO7vHHHnWOur1U81Vo2/L19AJty/EmsuEZ2dqY8Tgu6w3Q1ZFZhtzGRFY/IiqFtz+8wJv9vWlY25HK5ewIj0rht9UhhIUn8dl7FYk2MR/684iPVz/ZTtOhiK21iseZZNL1dej21TaTOnT7Gv90Xwe/6kOzRq5M+jKAwyeezou/71AEKanpfPtJNQb3LcXMeddyvjM5kPTk8GX2tNPSPPNsfGY8nbXTS2qAFftMt+Xa5bTZ+O0n1QZPPm/c17DuYBoju5rTupaSFXsL39NBYUwCd1EovP7668yfP58//viDYcOGsWbNGtLS0hg0aBDKJ1NCFStWjMjISJOfDw8P15d5Hj/88APJycls376dxo0N5+s+deoUAQEBBsuKFStGVJTpF6LotunZ8gCrV6+mY8eOz7WtWXn4pD+wi72C0IeGAbadlTagvxeZ8wy4LmhXKLRBe04zM3UrFHw3GQAnd18AosPvUNynmsG6uEcRpCYn4OlbI8/1K1Vm+FRoSMTdK4QFX6RM1RbZfsbaTtu9IDU5IZuSL546IZGk+0/mf1cqjfq56/q2x2eYxz3+ehCO9apjW74UMcdjDMuX15Z/dt73/BD1OP/b8uC2Km1bzkWWUdflqyC7yUDG/udWXLtleAPv7GiOjbWKwOtZ3yDdf5CMWq2hxJP+8s962o/esF945MMUvvv5plH5N/ppu89czed+3yFP+p+X9LI2qtvZ0RwbGzMuZ7Ov98KSUKs1lMykL7xueUiGPvC6QammBqCeuaBdVqGM6Zva56Hr2+5czLgt2+ahLXs6K3i9jbYtr9ibeVsu56Vtu0EPjOt+EAOJyRo8nQrfLCtFeeaXgiTPIUShUKlSJerXr8+5c+cICAjgzz//1E8XqVOjRg0SEhI4ffq00ecPHdLOaqF7K2pWVCoV6ZlMIXH79m2cnJyMgvaEhAST00FWq1aN+Ph4Lly4YLTuxIkTRsvq1asHwMmTeZ/hJCd0F+hyXsYXvnIlnlzEw3L2A5ExaP9jTxp3I3MW6Lg7KijpquRBdHqOP5NX3uXrAxAUaDzjiW6ZrkxexcVob8SUqpx1Qg0N0rYXB5e8vRypoEUdPIGZnS3OTeoYrXNrr+169tD/aTvV/bdrW+OZe9za+enrzG+6udTLehn/XJV90r5NzbduSsag/Y89au7luC3zpC1rCrwtn7v0P/buOyyKc3vg+Hd36SBVhEUpYldURGPF3jUq1sQSjZpompp4Y6I30cSYxJhqoomJMUWNmsTeEnvvvTfsggiIIL1s+f2xsLrugoAgcH/n8zw892bm3Xdm1mE4c+a87xjGtzwT7Gq2LmfZybN5j4HJzNRx4XIy/pUc8PI0n+evUX1XUtO0XLjy+Cd7SiW0a+GBRqNj5/78v7U1P06cSQCgcQM3s3WNQ9yz2+T9OCQzU8f58KRcj/WZYDfDsV5+cANgZWU4b9yczX+Xc6aBzMwq+hu0Gznnstr8XM65Vt+Iyd/5lRO0KxWwaJuWyDxuQFXZm3OwNf97oFKCjTVmbw4WpZcE7qLUyKllf/vtt7l48SJt2rTBz8/PuH7gwIEATJ061aTuPCIigu+//x4rKysGDBjw2O24ubkRFxdHerr5jAu+vr4kJCRw/vx54zKtVsvkyZMtZvtztvfJJ5+Y3AxcunTJOJj2Yd26daNSpUp8//337N2712x9VlYW+/fvf+wxPM7VKD33kvTUDVTi/VAmxdYaWtVVodHqOXHlwf462UN5Z/NyBLW7IWhXKuGPLRpuxeY/aGmYk6G0MFCqqPnXaIZLeV/OH15H9K0H/3YZaUkc2PAjKitr6jQJMy5Pvh9D3J0rZgNW79ywPEbi2rndhJ/cgq29Mz6Vg43LYyMvotWalw9EXjnGoU3zUKqsqR5SfE9W8sPaww3HGoFYe5gGR7fmGcq1qk8dh8L6wT+8Z+dWeLRpQuym3SZzxd9e+i9ZCYkEvD4Eu4pexuV2Fb3wf20IGbH3uLNqS5Hv/7Wcc7myAu+HDuHhc/lkvs5lGNpBZTiXt2oLFIDnDEq1NOivqB07lUDknXTat/SkaoCDcbmjg4ohfSuRmaVj445Y43J3N2v8Ktqbldas3WyYa3/UYD+T5T07eVHR244tu2PJzHxwPCqVwmSuczC8MOjVYQH4V3JgxT93iIsv2lKZoyfjiYxKo0NrL6pWfjA1paODiqH9/cjM0rFh2x3jcg83G/wqmR/rmg2G8/SVYZVNlvfqoqai2p7NO6NNjvX0ecONz/CB/jyc1FUqYeSgAACOF8N0kFfvPDiXvR45l0ODss/lq6bnskcu5/IL7Q3n8qLtjz+Xc67bLYOUxiA+R5t6hvcS5Pfm96lSKIv3p4ySUhlRavTu3ZtJkyZx4MABwPxNqc8//zxr1641TgnZuXNnUlNTWbFiBfHx8Xz88ce5TgX5sFatWnH8+HH69etHs2bNsLGxoXnz5rRo0YJRo0axbds2unTpQu/evbG1tWXPnj1ERUURGhpqzOznGDx4MH/++ScbN26kZcuWdOzYkfj4eFasWEGbNm3YsGGDsdQHDLPWLFiwgH79+tG9e3datWpF7dq1USgU3Lp1i/379+Pu7v7EGXmdHlbv0/BCBytGdLHizHUdGVlQ21+Jm5OCDYc1JDyUbOsYoqJBVRUr9miMAb29DQzrZIW9rYLwCB1VfJRUeWTCnfRMvcVXdKuUUC9QaXaDUFyUKiu6DP6YpbNf4s9vBlOzYXds7By5dHwTifciadPnXZPM967VX3P2wEq6vjCdoGZ9jMsXzuhHeZ/qeFasTjlXb7Iy04iNvEjE5SMoVdZ0eeFTbGwfBFOHt/7G1TM7qFilIc5uapQqK+5GhXP9/F4UKOjw3BTcPE0Dp6LgO6Ifbi0Mg7Sdg6pnL+uPe2vDPOrxe49y69dlAAS8NpjqU8Zw6aNZhE+bbewjbudBbv7yN34jB9Dy0Api/t2JrdoTdf9uZMbFc/bNj022qUlI5Oy4aQTP/4LQQyuJWvoPAOr+3bDxcOXYoLeK/K2pkHMua3mhg4rhna04cz37NfHZ5/LGI1qTc7lDAxUNqipZuVfDiSuGYMTeBoZ2zD6XI3VU8VEYs/U50jPhwOPO5avFfy5rdfDFD5f5YnJtvvs4iG177pKarqNVU3fUFez4/vfr3HlovvJRg/3p2q4C02eFs2H7g4B+w/YY2rbwoEMrT9Redpw4e5+KantaNXHn9p105i02fdGSu6s1v88M5sjJBKKiM7CyVtA42BX/Sg7sO3KPuX8UfRmUVgefzbrE11Pr8v1nwWzdFUNqmpbWzQ37PPuXKyYDREcPq0y39t58MvMC/2598BKwf7dF075lBTq29kLtZc+JMwlUVNvTull5bt9J4+eF1022u3DpTUKbeNC1vTc1qpbj6KkHg1Mr+zlyKzKVP1dGFPnx6vWw9oCWIe1UDO9oxZkb2eeynxJXJwWbjmpN3praPlhFcBUlq/ZpOHnVcC7b2cAL7R+cy4FqBYFq83P54IUH5+rhSzrqByoJVCt5vaeCK7cNg1N9PQ1PRVPS9Ww/KfXtZYUE7qLUKFeuHGFhYSxatAg3Nze6d+9usl6hULBgwQLmzJnDkiVLmDt3LjY2NtSrV4/XX3+dbt265Ws7EyZMICEhgY0bN7J//360Wi3vvvsuLVq0oEuXLsyfP5+vv/6av//+G3t7e1q1asWiRYuYMWOGWV8qlYqlS5cyffp0li9fzpw5c6hcuTIff/wxrq6ubNiwwazuPiQkhD179vDdd9+xefNmDh48iK2tLWq1mu7du9O3b9/Cf4kPuXZHzy8bNLSrryIoQIlSCTHxejYf1eZrhhdb6wePVqtVUlLNQsVHfLLlwL2mrxJHOwWnr2kLPAi2sPxqNGXQfxazd913XDj6DzqtBs+K1Wkd9jY1G+Xv3GjZczw3Lx3kVvhh0pLvoVAoKeempl7oczRqOwwPdRWT9lXrtScjNZHYiAvcuLAPrSYLR+fy1GrYnYbthj1RXX1e3Fo0xHdoH5Nl7i0a4t7iwYxLOYF7Xk6/OoWkM5fwGzmAgDFD0SanEr1qMxenfEPq1Vtm7SMXryHzbjxVJo6m0rA+oIf7x84Q/ukc4rY9+ZOi3FyP1vPrBi1tg5UEBShQKhWGc/mYlrP5mOHF5FyuqKSahfHk8cl6i4F7TV8FjnYKzlzXPbVz+fiZRN547wwjnvelbYvyWFkpuHojlZ8W3mD73vyVq+j18N70CwzqU5FOrT3p38OHpGQN/2yNYd7im9xPNB30mZyiYe/hewTVdKZZQzc0Wj3Xbqby+Q+X+WdrTLHNKHP8dAKvvXuCkYMDaNeyguFYr6cw5/erbNsT+/gOMBzrxI/PMKSfH53bejGgVyUSk7JYt/kOP/9xjYRE0ycF0bEZjHzrGC/086NJQzd6dfFBr4c7MeksWn6LP5befOyg2MK6Hq3n101a2tRTUsdfgUqpIDpBz5bjWs7eyN+5bP+YczkhWW8SuGdmwS8bNLSoo6RGJSX1A5UoFZCYCkcuadl1RkdS6RuKA1LjbpEiIaGY3ogixP9zH3/8MV9++SVLly6lY8eORdLnV6uK9gUopZ1fpUJONl9GqbvUKOldeGoO/XLm8Y3+h+xYVbzjWkobbVbRltWUZh2fa17Su/BUvdnj6UT51qc2FWv/WfVK12xf+SUZdyGe0J07d4zzuue4cOECP/30Ey4uLoSGmg/mE0IIIUQelGW3Dr04SeAuxBMaP348N2/epGHDhri6unLt2jU2bNhAVlYWs2bNwt7+/1eWXAghhBDFQwJ3IZ5QWFgYv/32G2vXriUxMRFHR0datGjBG2+8Qfv27Ut694QQQogyR+Zxt0wCdyGe0IABA/I1DaUQQgghxJOQwF0IIYQQQpQuZXiu9eIk34oQQgghhBBlgGTchRBCCCFEqaKXjLtFErgLIYQQQojSRQanWiS3M0IIIYQQQpQBknEXQgghhBClipTKWCbfihBCCCGEEGWAZNyFEEIIIUTpIjXuFknGXQghhBBCiDJAMu5CCCGEEKJ0kRp3i+RbEUIIIYQQogyQjLsQQgghhChV9FLjbpFk3IUQQgghhCgDJOMuhBBCCCFKF6lxt0i+FSGEEEIIIcoAybgLIYQQQohSRY/UuFsiGXchhBBCCCHKAMm4CyGEEEKIUkVfzDXuZTWfLxl3IYQQQgghygDJuAshhBBCiNJFZpWxSL4VIYQQQgghygAJ3IUQQgghRKmiVyiK9Sc/jh07Rv/+/fHz88PHx4cOHTqwcuXKAh9LbGwskyZNIiQkBC8vLypXrkzHjh355ZdfCtyXlMoIIYQQQohSpbgHpz7Orl276Nu3L3Z2dvTp0wcnJyfWrFnD8OHDiYiIYMyYMfnq59SpU/Tp04eEhAQ6depEr169SE5O5tKlS2zYsIGRI0cWaL8kcBdCCCGEECKbRqNh3LhxKJVK1q9fT7169QB45513aN++PdOmTaNXr174+fnl2U9iYiKDBg0CYMeOHQQFBZltp6AkcBeiDGnyUt2S3oWn6pdX15f0LjxVdX85U9K78NQ0Hhn0+Eb/Q146V/DH62VZHJ4lvQtPTY3DX5b0LjxVmbz2dDaUz3KW4rBr1y6uXbvG4MGDjUE7gIuLC+PHj+e1115jyZIlvPvuu3n288svvxAREcGsWbPMgnYAK6uCh+ESuAshhBBCCJFtz549ALRr185sXfv27QHYu3fvY/tZsWIFCoWCnj17Eh4ezrZt20hPT6datWp06NABGxubAu+bBO5CCCGEEKJUKcka9ytXrgBQpUoVs3VeXl44OTlx9erVPPvIzMzk3LlzlC9fnrlz5zJ9+nR0Op1xfUBAAIsWLaJOnToF2jeZVUYIIYQQQohsiYmJADg7O1tcX65cOWOb3MTHx6PVarl37x6ff/45U6dOJTw8nHPnzjFhwgRu3LjB888/T3p6eoH2TQJ3IYQQQghRquhRFOtPccvJrmu1WkaOHMmYMWPw9PTEx8eH9957j7CwMG7dusXq1asL1K8E7kIIIYQQQmTLybTnllVPSkrKNRv/aB8AXbt2NVufs+z48eMF2jcJ3IUQQgghRKmiVyiL9ScvObXtObXuD4uOjiY5OZnAwMA8+3B0dMTHxwcwzEbzqJxlUiojhBBCCCFEIbVo0QKAbdu2ma3bunWrSZu8tGzZEoCLFy+arctZ9ri54B8lgbsQQgghhChdFIri/clD69atCQgIYNmyZZw6dcq4/P79+3z99dfY2Njw/PPPG5ffuXOHS5cucf/+fZN+RowYAcDMmTNJSEgwLo+OjubHH39EqVTSs2fPAn0tErgLIYQQQgiRzcrKiu+++w6dTkf37t0ZN24c7733HqGhoVy+fJnJkyfj7+9vbD916lQaN27MunXrTPpp0qQJr7/+OufPnyc0NJS3336bcePGERoayu3bt3n//fepWrVqwfatSI5QCCGEEEKIIqIv4dxyq1at2LBhA9OnT2flypVkZWVRu3Ztpk6dSp8+ffLdzyeffELt2rWZN28eixcvRqFQUK9ePb7++mt69OhR4P1SJCQk6Av8KSFEidhTvnFJ78JT9cur60t6F56quo38H9/of0Tjkeav//5fVu/cypLehacqDs+S3oWnpsbheSW9C09VZvfXnsp2MiLDi7V/24rVirX/4iIZdyGEEEIIUaroH1OH/v+V1LgLIYQQQghRBkjGXQghhBBClCqPm2v9/yv5VoQQQgghhCgDJOMuhBBCCCFKFT1S426JBO5CCCGEEKJUkVIZy+RbEUIIIYQQogyQjLsQQgghhChVZDpIyyTjLoQQQgghRBkgGXchhBBCCFGqyOBUyyTjLoQQQgghRBkgGXchhBBCCFGqyKwylsm3IoQQQgghRBkggftT5OrqSvfu3Z+oj1dffRVXV1du3LhRRHtlavfu3bi6ujJ9+vRCfb5u3brUrVu3iPeqdLpx4waurq68+uqrJb0rQgghxP8UPYpi/SmrJHB/AqdOneKtt96iSZMm+Pr64unpSfXq1QkLC2PWrFncvXu3pHexTHrSm4eS1r17d1xdXUt6N4QQQgjxP0Zq3AtBp9MxZcoUZs+ejUqlonnz5rRt2xZHR0diY2M5fPgwkydP5rPPPuPw4cP4+PiU9C4/NWvWrCnpXXhqfHx8OHToEM7OziW9KxZVHNQTt9CGuIQEUS6oOipbG06OnEjEgpUF60ihIOC1wfi+NADHKv5oklO5u3UfF6d8Q9q1CIsfKd8xlKoTR+PSoA56vZ7EY2cJ//QH4rYfKIIjy11VP1ue6+pOzcp2qFQKbkZlsmZ7AvuOJ+fr817lrWjzjDOBlWwJ9LXFw9WKmLgsXpma+xOuFd9VzXXdtoOJzF4UU+DjyA8fDwVt6yvxraBApYDoBD37z+k4e0Ofr89X9VFQ01eBbwUlro6gVMK9RDhzXcf+czo0OtP2beoraVtflWefx8J1rN6vLewh5er/47l84VI4Cxb9ydkLF9BqtAQE+NMvrCdtWrbI1+c3btnGFzNn5br+y0+nEVwvyOK6PfsOsOafDYRfuUJ6egYe7m7UqlGdl4cPo4Jn+UIdT14uXzrP0kW/cOnCGbQaDb4BgTwb9hzNWrYvVH/JyYm8/dpQ4u/dpX5IY/770ddmbTIzM1i7fAl7d20h5s5tbGxsqFazDr2fG0bN2vWe9JDydCbyLnN2HOfkrRg0Oj3VKrgypFkdOtepnK/Pd525lKj7KXm2+fXFroT4e+W6/pN1+1l69CIAW/4zgPJODvk/gKdEatwtk8C9EKZNm8bs2bOpX78+v/32G4GBgWZtTpw4wYcffkh6enoJ7GHJqVw5fxee/wXW1tZUr169pHcjV9WnjsMhoBIZsffIiIrBIaBSofqpO+cj/EYOIOnMJa7PXoitTwXU/bri2bEFe0OfI/WyaVBbcVBPgud/QUZMHBELVgCg7t+NJht+49jAN7mzYuMTH5slQdXsmfyqD1kaPXuOJpGeoaNpfSfeHu7N7653WbM94bF91A6057mu7mi1eiKiM3F1zjtQzRETl8X2Q0lmy69FZBT0MPIlwEvBCx1UaLRw5rqezCw9tfyVDGhtxcYjWvad0+X5eSslvNDBiiytnut39Fy5rcdKBVV8lHQIUVHTT8HvG7VkPRSDX7+jZzuWg/KQqkpcHBVcvp33dgvr/9u5fOLUaSZO+Qgba2vatArFwd6e3fv28/GML4mNvUv/Pr3y3Vfzpo2pYuG67O1VwWyZXq9n5vc/sn7DJnzU3rRtFYq9vT1xcfGcOnOW6JiYIg/cz5w6xqdTxmNjbUPzVu2xs3fg0L6dzJzxAXdjY+jRZ2CB+/x1zjekpuYe2GZmZjDtvTe5dP40fgFV6NgtjJSUZA7t3cHUiWMY/9+PeaZpyyc5rFwdvhbFq39sxtZKReegyjjaWLPl/HXeXbaT6PspDG1u+WbqYYOb1iYpPdNseUJqBn8dvoCznQ11Knrk+vn9V26z9OhF7K2tSMvSPNHxiKdPAvcCunz5Mt999x3ly5dn+fLllC9v+SIWHBzMqlWr0Gge/0sRFxfHF198wT///MOdO3dwdnYmNDSUd955h9q1a1v8jF6v59tvv2X+/PlERkbi5eXF4MGDGT9+PNbW1sZ2mZmZ/Pbbb2zcuJGLFy8SGxuLs7MzTZs2ZcKECdSvX79wX0QucurbT58+bVw2ffp0ZsyYwdq1a7lz5w7ffvstly9fxsXFhbCwMD788EPs7e1N2gLMmDHD+P8BTp48ib+/v/G45s6dy99//83ly5dRKpXUrVuXMWPG0K1bN5N9evXVV1myZAknTpxgw4YN/PLLL9y4cYMKFSowZMgQ3nnnHZTKB3f2Op2OP/74g99//52rV6+Snp6Ou7s7devW5Y033qBlS8MF/caNG9SvX5+BAwcyZ84cAJMSmYf//8CBA3n77bdp1KgRHTp0YOnSpWbfXVJSEjVr1sTHx4fDhw8X+Lt/1KnR75N6+QZpN29TZcLL1Pz07QL34dG6CX4jBxC36xAHu4xAn5UFwO0l62i87meCvp3Moe4vGdtbuTpTZ+b7ZMTeY0/j3qRHRgNw5YufCT28iqDZHxK7aQ/a5LyzRQWlVMKrz3ui1+t5/9sIrkca/qj9vSGeGf+pxOAeHuw/kUxsfN6/j+eupDHx61tcj8wkM0vPn1+Z35RbEnNPw1//3nvi48gPpQJ6NlOhB37bqOFOvGH5jlM6RnWzon0DJWdv6MgrIafTw9bjWg5d1PHw33+lQsdzbVTU9FXSuKaevWcfBOLXo/VcjzbP5jvaQau6SlLS9Vy4lb9sf0H9fzqXtVotX8/6AYVCwdczPqFqoCHoHjJwAG+Mf4dfF/xBq9BmeFUwD7wtadG0CZ07tMtX25Vr1rF+wyZ6du/C66NeQqUyvXHVaov2aYpWq2HurBkoFUo+nPE9AYHVAOg3cDj/Hf8yfy6YS9PQtnhW8M53nwf37mDvzs2MeOUtfv3xG4ttNq5bzqXzp2ka2pZxEz5EmX2cfZ4bxsRxI5g7awZB9Rpi71C0WWiNTsdHa/ehVMAvw7tQ09sQXI9qXZ8h89Yxa9sxOtQOwMfVKc9+hjStY3H5gn1nAOherwq2VpbDu6T0TD5cs4cOtf2JT0nn6I3oJzii4lWW69CLkzyHKKAlS5ag1Wp58cUXcw3aH2aVyy9Pjrt379KhQwd+/PFH/Pz8eP3112nVqhVr166lQ4cO7N+/3+LnJk6cyMyZM2nTpg2jRo3C1taW6dOnM3LkSJN28fHxTJo0iYyMDDp27Mhrr71GaGgomzdvpnPnzhw7diz/B/+Efv75Z958801q1arFiBEjcHV15aeffmLs2LHGNqGhoQwcaMiwtGjRgnfffdf44+LiAkBGRgZ9+vTh/fffR6/XM2TIEAYMGMCtW7cYNGgQc+fOtbj9KVOm8MUXX/DMM88wfPhwAD777DM++eQTk3ZTp05l7NixxMfH079/f1599VVatmzJhQsX2LlzZ57H+O677+Lr62v8/zk/3bt3p0qVKrRs2ZKtW7cSEWH+WH7ZsmWkpKQwdOjQfH6jeYvbtp+0m7efqA/fkf0BuPTBt8ZAByB24y7idhzEs1NL7HzVxuXqfl2wdnPh+vd/GAMdgPTIaG788Ae2nu54h3V4on2ypG51e9SeNuw+mmwM2gFS03Us3xyPtZWCNk3KPbaf6DgNl65nkJlVPAFoUajsrcDDWcHpa3pj0A6QkQW7TmuxUikIrpL3pV2nh12nTYP2nOW7TxuCdX+v/P3RDK6iRKVUcOqqDm3xJNz/X53Lx0+e5nbUHdq1bmkM2gGcHB0ZNKAvWRoNm7ZuL/LtZmRksHDJ36i9vSwG7YDFZU/izMljREdF0qJ1B2PQDuDg6ETvAUPRaLLYufXffPeXeD+eeT98Scu2nWnwTPNc2x05sAeA/oNGGIN2AG91Rdp27E7i/QQO7C367/jQtShuxSfRtW6gMWgHKGdnw8jQemRpdaw9ebnQ/a86Hg5AWINqubb5fMNBMrK0/Ldb00JvR5QsybgX0KFDhwCMWdcn9cEHH3Dt2jXGjx/PlClTjMs3bdrEgAEDeP311zly5IhJRhjgyJEj7Nmzh4oVKwIwefJkwsLCWLNmDatXr6ZXL8OjVFdXV86cOWNWZ3/+/Hk6duzIRx99xKpVq4rkWB5nx44d7Nixg2rVDBeVtLQ0WrZsyfLly/noo49Qq9XG73XJkiWEhoYyadIks34+//xz9uzZw4QJE/jvf/+LQmEIMJKSkujZsyfvv/8+PXr0QK1Wm3zu5MmT7N27F29vQ/bmnXfeISQkhLlz5/Luu+9iY2MDwIIFC1Cr1ezduxeHRzIu8fHx5GXSpEns2bOHW7duWdz34cOHs2vXLv744w8mTpxosm7BggXY2NgYb1xKA4/WTdAkp3Bvn/kNXuym3Xi0aYJHq8ZELlptaN+qMQB3t+wxb795D9U/GGto/8fqIt3PoKqGJzYnLqSarTtx3rCsThV7lpL3v19hOdor6djcGWdHFUmpWi5cTedmlPmj7KIQ4G04369YKEu5cttwwxHgpSDvW8zc6bLvWXT5DMJDqhquTUfDiylqLyJl5Vw+edqQNW3UINhsXaOQBgCcOn0W8nmZuHzlKomJSWh1WrwqVCAkuB4uFsblHDl+gqTkZDp3aIdWp2PfwUNERN7GydGRkOD6VPRRW+j9yZw7fRyAeg0am62rH2JYdv70iXwf68/ff4lSqeLF0eNITcn9SUhCvOHpWAUv8/FnFbwMx3n21DHadnyyWeAedeT6HQCaVTHfbvOqhmWFzYCfuBXD1bv3qe3jQQ1vd4ttdl68xdqTV5jepxXujvaF2s7TJDXulkngXkAxMYaBZo8GhWCYDWXPHtOLfGhoaK5BfmZmJsuXL8fd3Z233zZ99NupUyfatm3L9u3bOXDgAM2bm2YPXnnlFWPQDmBjY8PkyZPp2rUrixcvNgbutra2FgfH1qpVi9DQULZt20ZWVpZJeU1xeeWVV4xBO4C9vT19+/ZlxowZnDhxwuJ3+iidTscvv/xC5cqVTYJ2gHLlyvHOO+8wcOBA1q5dy6hRo0w+O2HCBGPQDuDh4UG3bt1YsmQJ4eHh1Knz4PGjtbW1xeySm5tbgY75Uc8++ywVKlRg0aJFJiU6Z86c4fjx44SFheXrSc7ToHKwx86nAolnLlqM4lKy64Edq/oblzlWCzCsCzcfzJmzzOGh9kVF7Wm46YqKzTJbl5CkJS1dh9qz+M7xypVsefV509KFY+dSmPVHDPeTi7a8wKOc4ZyPSzR/KpCcDhlZetydC/+IuUHV7BuDqMc/dfCroKC8i4JbsTpi7xd6k8WuLJ3LkbcNTxYqVjS/bru7uWFvb0dEVFS++1u5dr3Jf9va2vDCwOd4vl8fk+Xhl68AoFQqGfXGm0REPnjCoVQq6durB6NHvpjv7eZH1O1bAKgrmo9ZcHXzwM7enqioW/nqa/f2jRzat5O335+Ok5NznoF7OWcX7kRFEBN9m0p+pvX/MdGG7zYq8mZ+DyPfbt5LBMDP3fzGqbyTAw42VtyMSyxU36uOGbLtfRpYHneVkJrOR2v30ramH13r5q8EUJROErgXoT179pjUZOfILXC/dOkS6enptGzZ0iyzm/O57du3c/r0abPAvVmzZmbtGzdujJWVlUl9ORimrfzuu+84cOAA0dHRZGWZBjdxcXEmAW1xCQ4ONluWc/Nx/37+/uqHh4eTkJCAWq3ms88+M1sfFxdnbFfY7fft25d58+bRrFkz+vTpQ8uWLWncuLGxDv9JWFtbM3jwYL755hu2bdtGhw6GR+3z588HYNiwYU+8jaJi5WIoLdHctzwjiyYx2aQdgJWzU/ZnzAdq5rS3dnl8yUpBOdgbboBS0yxnfVPTdcY2RW311nj2n0zhdkwmGq0eP7Ut/Tu70bCOI/8drWbS1xHGLHZRsDXco5Bhfo9iXG5XyHuUqj4KGlVTEpOg51g+Mug52fb8tC1JZelcTkk1PCFyzKW+2sHegZQU8ydLj/L2qsAbo1+mUUgwnuU9SEpK5vip0/wy/w/m/b4QW1tbevd4kFFOSDBcA5etWkO1KoHM/vpz/H0rcfnKNb6Z/QNLV65GrfamZ7cuRXCUBmnZA0gdHCzXdNvbO+YZgOe4F3eX336aSYvWHfI1qDS4UVPCL55l2ZLfGfv2FGO5TMyd2+zY8g8AKSn5m4mqIJLTDb+0TnY2Ftc72tqQnFHwJ3WpmVlsOncNO2srutS1PEHEp/8cIEur473uZadERmrcLZPAvYA8PT25ePEiUVFRZjOKTJo0yVgesXz5crN680clJSUZ+7TEy8vLpN3DKlgYmKRSqXB3dycx8cEd+8GDB+nZsycAbdu2pVevXjg6OqJQKFi/fj1nzpwhI6N4Zr54VLly5n/kcrLa+R30lFOqcv78ec6fP59ruxQLF/v8bv+zzz7D39+fRYsW8eWXX/Lll19iZ2dHWFgYn3zyCR4euY/Wz49hw4Yxc+ZMFixYQIcOHUhPT2fp0qX4+/vTpk2bJ+pbPH3zV8eZ/Pel6+l8OjeKqW9UJKiaPc/UdeTgqaIdwFgcfDwU9G+lIj0L/t6peWy9uq011PFXkJGl58z10jsm4P+r+nWDqF/3wQwltra2dGzXhmpVAnntrQksWPwnPbt1MV4DdXrDv6G1tRVT359EeQ9DuUXdoNpMnjiB0WPHs2zl6iIN3IvKT999hpWVFS+OejNf7bv3eo79u7eyf/dWbkfcIKheQ1JSkji4byeeFby5mZKMogyVaWw8c43UTA096lfBydb8pmDjmWtsOnudj8NalsppH0XBlJ0zs5Ro0qQJYCiLeVI5gWRsbKzF9TllOZYCzpx1D9Nqtdy7d89kXvGvvvqKjIwMVq1axZ9//sknn3zCf//7XyZNmmS8MShLcr6Lnj17kpCQkOvPDz/8UOhtWFlZMWbMGA4cOMD58+eN2fc///yTl19++YmPISAggHbt2vHvv/8SGxvLmjVrSEhI4IUXXjAp/SlpOZlGKxfL2TBLGUlLmctH22dZyGA+qZxMe25ZdQc7Za7Z+OKg18OW/YYMZq1AuyLtOychZ5tLVt3WGtJzycbnxsdDwdAOhplqFm7R5qvsJShAgY21wjAdZSmfUa4sncs5mfaczPujUtNScXQsfPAV4O9HUO1aJCUlc+PWg0HyOX1Wr1rVGLTnqBzgj9rLi9tRd0guwll07B0cAUhNtZzdTktLwcHRMc8+dm79lxNHDzDilfE4u7jmc7sOfPT5HLr3eo7U1BQ2rF/OqeOH6di1FyNeGQ+Ai+uTlUVa4pT9KCzZwlSOACkZmRYD78dZmT0otU+IeZnM/bQMpv9zgJbVKvFs/SoF7rsk6RWKYv0pqyTjXkADBw7km2++Yf78+bz66qtPlH2tXr06dnZ2HDt2jNTUVLNymZx6+ZwpFh+2f/9+WrQwfRHHoUOH0Gg0Ju2vXbuGm5ubWWlNamoqJ0+eLPS+F6e8svA1atTA2dmZ48ePP5XafLVaTb9+/ejTpw+NGjVix44dpKWl5Vk28/D+5zYLw4svvsjWrVtZsmQJmzZtQqVSMXjw4GI5hsLSpqaRfjt7zmyl0qw2OKceOOWhua9Twq/j2qgujtX8STiYYNq+mqH9o3NlF4WoWMMfQrWnNVdvmT5Bci2nwt5OSfiNp/tOhcRkw/dla1O0+ZG4JENm1MNZQdQ900y3kx3YWiuIvJv/m5ScoF2hgAVbtNyOy1/2PKRa2SiTgbJ1LlfMHpMUGXmb6lVNA6178fGkpaVTs1rus4bkh4uz4Wbk4feM+GaXDTrlEig7OhmWZ2Rm4ETewXR+qX0MM3BFRUYQWLWmybqE+DjS09KoWs3ylMg5rl25BMA3n022uP7ksUM892wo/pWr8vms343LHZ3KMfTlMQx9eYxJ+5xSmcCqNQp0LPmRU9t+814itX1MxzLdTU4lNVNDUEXLT+BzcyU2gVMRsVQu70IDP/NkXNT9ZBLSMtgdHkHw1N8t9tHhq78B+HN0D5PZbkqaXl92g+viJBn3AqpatSrjxo0jNjaWfv36cfXqVYvt8lOzbWNjQ9++fYmLi+Prr03f7LZlyxa2bt1KYGAgTZua16T9+OOPREZGGv87MzOTadOmATBo0CDjcl9fXxISEkzKSrRaLZMnT+bu3buP3ceSkDMA9OHjy2FlZcWIESO4desW77//vlm9PsC5c+dyfYrxOBkZGRw8eNBseUpKCikpKVhbW5vN8JPb/lua8jFH165dUavV/PDDD+zdu5dOnTrla3Du0xa36xBWTo64Nw8xW+fZyVBLem/3gznnc/5/+Q6h5u07hhr7LGpnLxsCkOCa5pnI4FqGZWevpBX5dvNSLcAWgJh7BUx/P0bOXOpVfMzPwyo+CpM2j/Nw0L5wi5bIu/n7XAVXqFReSXS8noh8fqaklZVzuV6QYZD8keMnzNYdOZY9C0tdy/N454dWq+VSuGEgqleFB0FizltUb94yv25pNBpu347Czs4O1+xpeYtCraBgAE4dN/8eTx4zLKtVNzjPPqrXDKJtp2fNfnLeuupRvgJtOz1L4+at87VPe3ZsAqB5q6Kf6rORv2Es2f4r5lOb7rtsWNYwj7edWpIzKDW3KSBd7e3o3aCaxZ/yToYEVNe6gfRuUA1X+6J9OiiKh2TcC2Hy5MlkZmby/fff88wzz9C8eXOCgoJwcHAgNjaWs2fPcvToUZycnCxmyx82depU9u7dy5dffsmhQ4do1KgRN2/eZNWqVTg4OPD9999bDBQbNWpEaGgoffr0wcHBgQ0bNhAeHk6PHj2MM8oAjBo1im3bttGlSxd69+6Nra0te/bsISoqitDQULNZcEqD6tWro1arWbFihXFWHIVCwahRo3BxcWHSpEmcPHmSn376iU2bNtG8eXM8PT25ffs2586d48yZM2zevDnXsQN5SUtLo3PnzlStWpXg4GAqVapESkoKGzZsIDo6mjFjxmBra5tnH61atWL16tUMHTqUjh07YmtrS1BQEF27djW2sbKyYsiQIXzxxRdAyQ9KtfZww6a8G5l348mKezBl4q15f1Px+WepPnWcyUtrPDu3wqNNE2I37TaZX/v20n+p+enbBLw+hIjflxnnv7ar6IX/a0PIiL3HnVVbinz/T11K5c7dLFo2dGL9zgTjXO4Odkr6dnQjS6Nnx0NvNnVzVuFgpyQ+UUtqeuEzxn5qGyKjM83qwWtUtqN3e8N2950o2kFu16L03EvSU7eygoPnMc7lbmsNreqq0Gj1nLzyYIec7A2DVZPSTAe0qt1haAcVSqUhaC9IAJ4zKPX45dKXbS/r53JIcD3U3l5s27mb3j2fNc7lnpySwuK/l2NtZUXHdm2N7ePu3SMlJRV3dzeTbPmly1fMMvZarZZ58xcSGRVFcL0gPNwflMT4qNU0bBDM0eMn+GfjZrp17mhc9+fSFSSnpNChbesincu9bnBDvLx92LtzC1179jfO5Z6akszKvxdgZWVNq3YPaurj790lNSUFN3cPHBwN5UrNW7Wneav2Zn3HREexf/dWKvkF8MrYiWbrU1NTcHAwfXKwftVfnD5xhGeataJq9VpFdpw5GgeqqeRWjn9PX2Vgk1rG7HZSeia/7DmFtUppUs4Sm5RKckYm5Z0cKGdhQGuWVse6U1ewUirpkUsZjLeLIx/0bGFx3cjf/+Vuchr/6dSoVNa+6yW3bJEE7oWgVCr55JNPGDBgAL/99hv79u3j+PHjZGRk4ObmRs2aNZk2bRrPP//8Y4PH8uXLs3XrVj7//HP++ecf9u/fj7OzM927d+fdd9/N9c2pn332GatWrWLBggVERETg5eXFxIkTGT9+vEm7Ll26MH/+fL7++mv+/vtv7O3tadWqFYsWLbI4A05poFKpWLhwIR988AHLly83Ds4dMGAALi4u2NrasmzZMhYuXMiff/7J2rVrycjIwNPTk5o1azJixIhcv7fHcXR0ZOrUqezcuZP9+/cTGxuLq6srVatW5YMPPqBv376P7WPYsGHcvHmT5cuXM3PmTDQaDQMHDjQJ3MHwZOSLL77Ax8eHjh075tJb4fmO6Idbi4YAOAdVz17WH/fWhvmR4/ce5davywAIeG0w1aeM4dJHswifNtvYR9zOg9z85W/8Rg6g5aEVxPy7E1u1J+r+3ciMi+fsmx+bbFOTkMjZcdMInv8FoYdWErXU8NhZ3b8bNh6uHBv0VpG/aRIMlQ8/LIlh8qs+fDyuEnuOJpGeoaNpfScqeFjz+8q7xN57UIg9uIcH7Zo4M+uPaLY/FNCXc1QyLOzBI2yVSkE5JxVvDH4wGHz+qrskpRgC1p7tXGlYx5ELV9K4m6BBq9Xjq7ahfg0H9MDPS2OJvlu0BeA6Pazep+WFDiqGd7Yy1Jhn6anlr8TNScHGI1oSHvqKOzRQ0aCqkpV7NZy4YgjO7W1gaEcr7G0VhEfqqOKjMGbrc6RnwoHz5oG5Sgn1ApVotHpOXH06gfv/p3NZpVLxn7GvM3HKR4x/9z3atArFwd6e3fv2Ex0Ty+gRL+Lt9eB8/GX+H2zaup0Jb44xeUPqa2++TWBAAIGV/fHwcCcpKZlTZ84SEXkbz/IejB/7utm2x702irETJvH1rB/Ye+AgfpUqcfnKVY6fOo1XBU9GjSjaBINKZcWosRP5dMp4Pnz3dZq3ao+dvQOH9u0kNuYOQ0a8bpxXHWDJ/J/YufVfXn3zv7Tp0C2Pnh/v1WFh1KkbgrdPJRQKBedOH+fq5YsEVqvJK+PMA/2iYKVU8kGP5rz6x2ZG/raBzkGVcbSxZsv560TdT2F8x0ZUdH0wpuK7rUdZe/IKU3u1oFeweUZ958WbxKem076Wf5mYl10UDUVCQkLZeM4pxP+Y1atXM2zYMCZMmMB7772Xr8/sKW/+opLc1PtlOr5D++S6/taCFZwaaZgFqdrkNywGOwAoFAS8PgS/kQNwqOqPNjmVu1v3cXHKN6RetTzHsmenllSZOBqXBrVBD/ePnSH80znEbbP8JuDc/PLq+sc3ekhVP1ue7+ZOjcp2WKkU3LidydrtCew9bpr1fmNwBYuBu6e7FT99GJDnNkZ/eN14E9CkniNtGpfD38cWl3IqrFQKEhI1nL+azrodCVy+WbAZm+o2yv+84BU9FLQNVuLrqUCphJh4PfvO6zj7yAwvYc3NA3dXR3irb97jQ+KT9cxcYX7TUcdfwYDWVpy5rmPprsLPUd94ZNDjG2X7XziX651bWaD2Fy5eYv7iPzl7/iJarYbK/v70DetJ21ampTuff/OdxcD9p19+59zFi9y+fYek5GSsrKyoqPamaeNn6Ne7J+WcLA/UjYm9y/xFSzh89DiJSUm4ubnSvPEzDBk4ADdX13zvfxz5f+J5+eI5li7+hYvnz6DVavDzD6R72PNmmfQfvvkk34F7THQUY0b2p35IY/770ddm6+d9/yVnTx8jLjYGFArUFX0Jbd2BLj36YW1dsAGiNQ7PK1D705Gx/LjjBCdvxaDR6qjq5cYLTevQOch0KsfJq3bnGbi/vmgzey9HMntQB0Krmc+F/zgjf/+Xozei2fKfAQXKuGd2f63A2yqM6LvF+3IIr/JFV/b1NEngLkQJ0Ov1dOrUiePHj3PixAkqVcrfRbcggfv/goIG7mVdQQL3sq4ggfv/goIG7mVdQQL3sq6ggXtZJ4F7yZJSGSGeorNnz7Jx40YOHjzI4cOHGT58eL6DdiGEEOL/C3kBk2USuIs8LVq0iJs3H//q5+7du1OvXr2nsEdl24kTJ/joo49wdnbmueeeM84EJIQQQgjxOBK4izwtXryYvXv3Pradn5+fBO75MHjw4FI3X7sQQghR2kjG3TIJ3EWe1q///1VjLIQQQghRWkngLoQQQgghShXJuFsms9sLIYQQQghRBkjGXQghhBBClCp6vWTcLZGMuxBCCCGEEGWAZNyFEEIIIUSpIjXulknGXQghhBBCiDJAMu5CCCGEEKJUkYy7ZRK4CyGEEEKIUkUCd8ukVEYIIYQQQogyQDLuQgghhBCiVJHpIC2TjLsQQgghhBBlgGTchRBCCCFEqaKTGneLJOMuhBBCCCFEGSAZdyGEEEIIUarIrDKWScZdCCGEEEKIMkAy7kIIIYQQolSRWWUsk4y7EEIIIYQQZYBk3IUQQgghRKkiNe6WScZdCCGEEEKIMkAy7kIIIYQQolSRGnfLJOMuhBBCCCFEGSAZdyGEEEIIUapIjbtlknEXQgghhBCiDJCMuxBlSJ3za0t6F56q9uFVS3oXnqq/f95X0rvw1Lx0bmVJ78JTdap275Lehadq74+nSnoXnhq198SS3oWnaiiJT2U7UuNumWTchRBCCCGEKAMk4y6EEEIIIUoVXUnvQCklgbsQQgghhChVir9URl/M/RcPKZURQgghhBCiDJCMuxBCCCGEKFWKfzpIybgLIYQQQgghiolk3IUQQgghRKki00FaJhl3IYQQQgghygDJuAshhBBCiFKl+GvcyybJuAshhBBCCFEGSMZdCCGEEEKUKrqyOelLsZOMuxBCCCGEEGWAZNyFEEIIIUSpIjXulknGXQghhBBCiDJAMu5CCCGEEKJUkXncLZOMuxBCCCGEEGWAZNyFEEIIIUSpopdZZSySjLsQQgghhBBlgGTchRBCCCFEqaKTWWUskoy7EEIIIYQQZYBk3IUQQgghRKkis8pYJoG7EEIIIYQoVWRwqmVSKiOEEEIIIUQZIBl3IYQQQghRquhlcKpFknEXQgghhBCiDJDAvRR59dVXcXV15caNGyW9K2WWfIdCCCFE2afTF+9PWSWlMgWUkpLCjz/+yOrVq7ly5QpZWVmUL18ef39/mjZtytChQ6lcuXJJ72apMX36dGbMmMHatWtp2bJlSe9Oibt27Rp//vknJ0+e5OTJk0RFReHr68vp06eLZXsXL11i4aLFnDt/AY1GQ+WAAPr07kXrfP5bbNq8ha9mfpvr+s+nf0r9enVNlg0dPpLomBiL7evVDeKLz6bn/wAKKPrmKQ78O4uoa8fR6TR4qKvToM2LVG/QLV+fv35uJ+cPr+Ju5HlSEu+i02ZRzk2NunIIDdu/jFsF09/t1KS7HNr4A9E3T5N4L5KMtETsndxxq1CZeqGDqVKvIwpF8TzurVnVieHP+VKnZjmsVAqu3kxl6ZrbbN8Xl+8+rK0UDOpdkU6tPfEsb0tSsob9R+4xb8ktEu5nmbV3clTxQr9KhDZ2p0J5W1JTtZw4l8hvf97k+q20ojw8MxcuhbNg0Z+cvXABrUZLQIA//cJ60qZli3x9fuOWbXwxc1au67/8dBrB9YIsrtuz7wBr/tlA+JUrpKdn4OHuRq0a1Xl5+DAqeJYv1PHkpeKgnriFNsQlJIhyQdVR2dpwcuREIhasLFhHCgUBrw3G96UBOFbxR5Ocyt2t+7g45RvSrkVY/Ej5jqFUnTgalwZ10Ov1JB47S/inPxC3/UARHJllFcsr6BCiwq+CEpUS7sTr2XtGy+lrunx9vnolJbX8lPh5KXBzUqBUQtx9Paeu6dh7RotGa/lzCiCkmpKG1VV4uSlQqSAxRc+NaD1rD2jINP8VKBLRN09zaMMsoq5nX6e8qxPc5kWqBXfN1+dvnN/FhcOriL19ntTs65STmxp1QAgh7V4yu04lxF7n8skN3Lywh4S7N0hPScChnAcVqzahUfvRuHkFFsdhimIigXsBJCUl0aVLF86ePUtgYCADBgzA3d2duLg4jh49yjfffEPlypUlcC9BH3zwAW+99RY+Pj4lvSsW7du3jxkzZqBSqahRowbR0dHFtq0TJ0/x3pQPsLG2pnWrVtg72LN37z4+/exzYmPv0q9P73z31axpE6oEml/cvbwqWGzv6OhI7149zdtXsNy+KNwKP8DqH19CZWVD9ZDu2Ng6cvnkJjbMf4vkhDuEtB3x2D6un9/Fnesn8favh3+tCihVVtyLvsr5w6u4eHQtPUfNxbd6M2P7pPgozh9ehXdAMFXqdcDOwZXU5DiundnOP7+NoU7T/rR//uMiP9YGQc58Mbk2mVk6tu25S2q6jlZN3fnw7Rp4/n6dv9fcfmwfCgV8MqkmTRq4cfZiEjsPxFFJbU/3Dl6E1HPl1YmnuJ+oMbZ3drLih8/q4utjz5kLiew9HI+HqzWtmnnQpIErb31wlvPhyUV+rAAnTp1m4pSPsLG2pk2rUBzs7dm9bz8fz/iS2Ni79O/TK999NW/amCoWrtHeFs5lvV7PzO9/ZP2GTfiovWnbKhR7e3vi4uI5deYs0TExxRK4V586DoeASmTE3iMjKgaHgEqF6qfunI/wGzmApDOXuD57IbY+FVD364pnxxbsDX2O1MumTyYrDupJ8PwvyIiJI2LBCgDU/bvRZMNvHBv4JndWbHziY3tUoFrBi52t0Wjh1FUdGVl6ggJUDGxnjctBDXvO5BJ1Z7NSwYudrcnS6Ll2R094hBZrlYJqlRR0bmRFbX8l89ZnkfVINyolDGpvRS0/FVFxOo6Fa9HowNVRQQ1fJZuPUiyBe0T4AdbMfRmVlQ3VGnTDxtaRK6c2sXHBWyQnRNGgTX6uUzu5c+MEXv71caxpuE7FR1/hwpFVXDq2lh4vz6VStabG9gf//Y7wE//g7l2NwKD22Ng6ERd1iYtHVnPl5EZ6jPqZilWeKfqDfUIyHaRlErgXwJw5czh79ixDhw7l22+/NcukXb9+nczMzBLaOwHg7e2Nt7d3Se9Grlq0aMHmzZsJCgrC3t4eLy+vYtmOVqtl5qzZKBQKvpzxGVWqGILuIQOfZ+xb/+H3+QtoGdoi34F086ZN6dSxQ7637+ToyAuDBxVq3wtDp9Ww7a/JKBQK+o1ZhGelWgA07vw6f33dj33rvqZq/c44u1fMs5/Qnu/Qpu9ks+W3Lu1n5Q8vsnftlzz/n+XG5eUr1mT09MMolSqT9pnpyfz1zQDOHlhKcOtheKirFcFRGqiU8ParVdDpYez7Z7h8PRWA+X/f4scZ9Xh5sB8798cRHZuRZz9d2lagSQM3tuyKZdrMcOPynp28+M8rVXhpkB9f/XjVuHz48774+tjz15rb/PD7dePyOv9E8d0ndXn39aoMf+tEkU/hptVq+XrWDygUCr6e8QlVAw1B95CBA3hj/Dv8uuAPWoU2y/e53KJpEzp3aJevtivXrGP9hk307N6F10e9hEpl+u+s1eYdVBbWqdHvk3r5Bmk3b1NlwsvU/PTtAvfh0boJfiMHELfrEAe7jECfZYhCby9ZR+N1PxP07WQOdX/J2N7K1Zk6M98nI/Yeexr3Jj3SkFS48sXPhB5eRdDsD4ndtAdtckrRHCSgVEDvUGv0evh5fRZR9wwnz7bjWl7raU2nRirOXNeSkMf9oE4Hm45oOHBeS/pDf36VChjc3opa/iqa1lax+7Tpv1XnZ1TU8lOx4bCGXadM1xVXuKjTatj+9xQUCgV93vgDz4qG69QznV5n6cz+7F//DVXqPf461aLHO7TuY/k6tfrH4exb9yUD3lpmXO5XM5SQdi/hWam2SftLx9ezaeF/2LlsKoPeXVcERyieBqlxL4DDhw8D8NJLL1l8/B0QEED16tWN/+3q6kr37t0t9lW3bl3q1q1rcZ1er+fbb78lJCQELy8v6tWrx4wZM8jKKtzt/6JFi3B1dWXRokX8+++/tG/fHrVaTa1atfj444/R6QyPIxcvXkyLFi3w9vYmKCiI7777Ltf9W7hwIZ07d8bX1xe1Wk2bNm1YuHChSbvu3bszY8YMAHr06IGrqyuurq5mxx0bG8ukSZNo0KABFSpUIDAwkBdeeIFz586ZbTvne0tISGDChAnUqVMHDw8PFi1aBFiucd+9ezeurq5Mnz6d48ePExYWRqVKlfDz82Pw4MG51sOvWbOGNm3a4O3tTbVq1Rg7diwJCQl5/ts9TkBAAM888wz29vaF+nx+ncguw2nbprUxaAdDJvz5Af3J0mjYvGVrse7D03Qr/AD3796kRsizxqAdwNa+HM90fAWdNovzhx5fZmBlbWtxuW/1Ztg6uHD/7k2T5SqVtVnQDmBj54R/TUM5UsLdoh1v0aCuC5XU9mzdHWsM2gFSUrX8sTwCG2slXdp4PrafZzsYAt25i0yPac2maCLvpNOhpSc2Ng/+RIQ2dker1fPbn6btz15KZv+Re1T2cyC4jvOTHJpFx0+e5nbUHdq1bmkM2sFwczhoQF+yNBo2bd1e5NvNyMhg4ZK/UXt7WQzaAYvLikLctv2k3Xz8U5O8+I7sD8ClD741Bu0AsRt3EbfjIJ6dWmLnqzYuV/frgrWbC9e//8MYtAOkR0Zz44c/sPV0xzss/zfv+RHoo8DDWcHJqzpj0A6QkQU7TmqxUikIqZr3d6zTG9qmZ1pYnh2QV/Y2/Xvt7ADNaqu4dkdnFrQD6LN/ilrE5QPcj7tJ9ZBnjUE7GK5TDTuMRqfN4sLhVY/tJ8/rlL35dapW4z5mQTtA9QbdcfUM4F70ZdKS4wt2ME+BXl+8P2WVZNwLwM3NDYArV65Qr169YtvOxIkTOXjwIL1798bR0ZENGzYwffp0zp49y4IFCwrd77p169i+fTvdu3enSZMmbNq0iS+//BIAZ2dnvvzyS7p27UpoaChr165lypQpeHp6MnDgQGMfer2el19+mWXLllGlShX69euHtbU1O3bsYMyYMVy8eJGPPzaUBgwaZMi47t27l4EDB+Ln5weAi4uLsb9r167x7LPPEhkZSbt27ejevTuxsbGsXbuWbdu2sXr1aho1amRyHJmZmfTs2ZOUlBS6du2KSqWiQj6ybcePH+e7776jZcuWvPjii5w6dYr169dz7tw59u/fj52dnbHtwoULGTNmDM7Ozjz//PM4OzuzefNmwsLC0Gg0WFmV7l+dk6fPANCwQQOzdQ1DQgA4feZMvvu7cvUqy1asRKvV4uXlRUhwfZydcw/SsrKy2LR5C3H37uHg4ECNatWoWbNGAY8i/yIvHwIMmaVH5SyLvHK40P1HXTtORup9fAIb5qu9JiuDiPADoFDg4V102XaABkGG35/DJxLM1uUsq1/HGZbm3oeNtYJa1cpxIyLVYmb+yMkEenX2pmYVR06dTwLA3dWa+0lZpKWb1x1HRRv6aFDXheNnEgt4RHnLOZcbNQg2W9coxHB+nzp9Fgaarbbo8pWrJCYmodVp8apQgZDgerhYOJePHD9BUnIynTu0Q6vTse/gISIib+Pk6EhIcH0q+qgt9F56eLRugiY5hXv7jpmti920G482TfBo1ZjIRasN7Vs1BuDulj3m7TfvofoHYw3t/1hdZPsY6G24MbwcaX5OhWcvq6xWwonCPdnIzkmZDUQMqqxCpVRw5poGG2uo5afE1VFBcpqe8EgdianmfRWFnOuUbw3zcRl+NQzXqdtXn+A6df04GWn3UVfO33UKQKmyzv7f4rkJFUWvdEcfpUxYWBh///03Y8eO5ejRo7Rr147g4GDc3d2LdDtHjhxhz549VKxoeFw2efJkwsLCWLNmDatXr6ZXr/zXcz5sy5YtbNy4kZDswG3SpEmEhITwww8/UK5cOXbt2kVAQAAAY8aMISQkhFmzZpkE7gsWLGDZsmUMHjyYmTNnYm1t+KXPzMxk6NChzJ49m379+hEcHMzgwYO5efMme/fuZdCgQRYHp77yyivcuXOH5cuX0759e+PyCRMm0LZtW8aOHcu+fftMPhMdHU1QUBAbN24sUOZ606ZN/Prrr/Tp08e4bPTo0fz111+sX7+evn37ApCQkMCkSZNwdHRk+/btVKlSBYApU6bQp08fTpw4ga+vb763WxJuRxqydRUt1Pq7u7thb29P5O38Z/RWrVlr8t+2tjYMHjiQ5/r3s9j+Xny82aDW6tWrMemdCfioiz7gSYi9DoCrp7/ZOkdnT6xtHUiIzX/m+8aFPURdO45Wk0nC3RtcP7sdO0c3WoZNstg+NSmOU3sWg15HanIc18/tIjkhisad37C4T0+iktpwgxkRlW627l5CFqlpWiqp8/698PG2Q6VSEGmhj4f7rqS2Nwbu95M0uDpbY2+nNAve1V6GDKCvT9E/Sco5TytWtHAuu7lhb29HRFRUvvtbuXa9yX/b2trwwsDneL5fH5Pl4ZevAKBUKhn1xptERD74fVEqlfTt1YPRI1/M93afJpWDPXY+FUg8c/FB9PqQlOzadseqD85Nx2oBhnXh5r8nOcscqhbtuezhYsiE371vnv5MToOMTD0ezoUvXGlY3RCMhj9yY+DjYejTzkbB+L42ODs+2IZGq2fjYS17zxZ9GVTO0zfX8kVznbp58cF16v7dG1w/twM7RzdCwybm6/PRN05x7044FXzrYmtf9E/LnpRO5nG3SEplCqBbt258/PHH6PV6Zs+eTZ8+fQgMDKRBgwZMmDCBK1euFMl2XnnlFWPQDmBjY8PkyYZ6tsWLFxe63wEDBhiDdoBy5crRuXNnUlNTGTFihDFoB6hUqRJNmzbl4sWLaDQPBqjNnTsXR0dHvvzyS2PQ/ug+Llv2oLYuLydPnuTgwYMMHDjQJGgHqFq1KkOHDuXcuXMWS2amTp1a4HKT5s2bmwTtAEOGDAHg2LEHWal//vmH5ORkhgwZYgzaAaysrHj//fcLtM2SkpJqqEN1cHSwuN7BwZ6UlMenlby9vXjtldH8Ovcn1qxYxqL5vzPhP29Rzqkcv/4+n9WPBPQAnTp2YManH/PXooWsXr6UH777lvbt2nLpUjgT//s+qalFn87KSDcUwdrYlbO43sbOicz0pHz3d/PiXg5tnM3RrXO5cnIjTq5qwl6Zh5ef5RKptOQ4Dm2czaFNP3Bm31+kJt0ltOc7NOnyRsEP5jEcHQz5lpRUy4FFSqoGR4e8s2c5fSTn0kdqqia73YN+Dh6LR6VSMGyA6U1rrWpONGtoeBrp9JjtFkZK9vni6JDLuWzvkL9z2asCb4x+md9/+p71y//kz9/n8e74cZRzKse83xeaBfQJCfcBWLZqDY4ODsz++nPWLl3MN599QiUfNUtXrmbNPxue8OiKh5WL4fdAc99ycbgmMdmkHYCVs1P2Z8x/T3LaW7tY/v0qLDsbQ2CWnmm5biE9C+xsCtd39UpKGtdQEhOv48hF08Ddyd6w3XYNVETd0zNzeSYfLshg/qYsUtKhe1Mrqlcq+vAoM83w3eZ6nbIt+HXq8KbvObbtZ66c2oSTq5qeo37Gy/fxpZwZaUlsWTIRhUJJ8x4FH0MhSo5k3AvojTfeYNiwYWzdupWDBw9y4sQJjhw5ws8//8zChQv59ddf6dYtf1PP5aZZs2Zmyxo3boyVldUTTRtoqS47ZyBnbuu0Wi0xMTH4+PiQmprKuXPnUKvVzJw506x9ToAfHh5uts6SI0eOAIYa9+nTzacIzOknPDyc2rUf1OfZ2dlRp06dfG3jYcHBwWbLcm6Q7t+/b1x2JruExNK/Q6NGjUp9mUxRqle3LvUeOjdsbW3p0K4dVatUYcyb41m4eAnPdu9mUus7ZJBpzUKVKoG885/xAGzdtp1/N26ib++wp7L/hdWy17u07PUumRkp3LtzhUMbv2fptwPpMPBTajTsYdbeQ12dsTMvotNpSY6P4uKx9exb/w1R14/TddhMlKqyf878+uctGjdwY2BYRerUKMe5S0l4uNnQupkH1yPSqBrgWKrrRuvXDaJ+3QfTPdra2tKxXRuqVQnktbcmsGDxn/Ts1sV4LuuyD8ba2oqp70+ivIfhyWrdoNpMnjiB0WPHs2zlanp26/L0D0bkqWJ5Bc+3tSI9CxZv06B95KFDzhC1lDRYvPXBjDMXb+lYuUfDi52tCQ1ScSkif9NRlpTQnu8S2tNwnYq/c4VDm79n+axBtHvuE4vXqRyazHT++e0N4mOu0rTbm1Sq2uQp7nX+lYbrybFjx5g+fToHDx5Eo9FQu3ZtXn/9dXr3zv+sbA9LSEigWbNmREVF0b59e5YvX/74Dz2i7P81KQHlypUjLCyMsLAwwBD0TZs2jXnz5jFmzBg6dOiAjU0h0wRgsV5bpVLh7u5OYmLh60fLlTO/y8/5I5XXupxBsQkJCej1em7fvm0cdGpJSkr+Zh2IjzcMhtm4cSMbN+Y+zdij/ZUvX75Qc2PndYwPzw6RlJRk3M6jlEolHh4eBd720+bo4AhAai6ZyNTUNJycHAvdf4C/P3Vq1+b4iRPcvHWLyg89rclN965d2LptO2fPnSvywN3WzpAtzC1blZmejK29i8V1ebGxdcTbvx7PjvyeP7/qy7a/puBbowUOTpbL45RKFc4elXim42iUKhV713zBmf1/Uy+06GbYSbGQDX+Yo4MVSckai+se7SO3DLmDhax+bFwmo985xfDnfWnSwJVaVZ2Iicvk1z9vcScmnQ//U4N4C3O/P6mcTHtKLk9qUtNScXJyKnT/Af5+BNWuxbETJ7lxK4LAAEMZg2P206rqVasag/YclQP8UXt5ERkVRXJyyhP9LhWHnKy5lYvl78VSdv3hLHzWvQSL7bMsZOOfRE6m3ZB5N4/S7KwhrYATtVUsr2BEF8NMNb9tyCImwbzfnO1evq0zmyYyPEJHlkZPxfJFX6ZhY2/4G5TrdSqj8NcpL/96dB/+PX9/048dSz/Ar0YL7C1cpzRZGaz/9TUiLx+kYftRNOrwSoG39//Frl276Nu3L3Z2dvTp0wcnJyfWrFnD8OHDiYiIYMyYMQXuc8KECU8Ux4GUyhQJFxcXvvjiC3x9fYmLizOWdigUilynC8vrHy7GwstrtFot9+7dy3NAYHHLCXyDg4NJSEjI9WfduvxNK5XT3+eff55nfzmDXHMU1wttHt2vu3fvmq3T6XTExeX/BTclxSe7HthSHfu9e/GkpaVZrH8viJwBfenpluukH+VsbJ/3NIWF4eoZAGCxPjQlMZasjNQnqjVXqqyoVK0JWZmpxNzM31OvnMFmOQPSisqD+nM7s3XurtY42KuIiMr7ZUi3ozPQavVUtNDHw30/2s/de5l88cMV+r18lA7PHWDQa8dYsjIS/0qGIPfilaKfxz3nPI2MtHAux8eTlpZOpSccN+HibPidf/hc9s1+GufkaDkod8wO1jMyi/58flLa1DTSb2fP/640/zOfU9ue8tA87inh1w3rqlmov85e9ui8708qLru2vbyL+TXdyR5sbRTEJeY/7ZoTtCsU8NvGLCLvWv5sTk29pRIdPYb5262LIa2ZU9tuaaaporpOVayafZ26ZT75gCYznfW/vMqtS/sIafsSzbqPL/S2nga9XlGsP3nRaDSMGzcOpVLJ+vXr+fbbb/nkk0/Ys2cPVatWZdq0ady8eTPPPh61evVqli5dyocffvgE34oE7kVGoVDg+MgF3tXVldsWAqcbN26YlGY8av/+/WbLDh06hEajKfQ0hEWhXLly1KhRg0uXLpGQkJCvzxgfO1sYIJUzW0zONJulRVCQ4XH6gQPmbwo8evSoSc1/aVUv+xiOHj9utu5odj1/3SDLb4nMD61Wy6XLhlKm/MzoA3Dh4iUg95c2PYmcl4fcvGA+I0bOsid9wUjKfcMNdc4sDI9vH53dvmgjgBNnDTf9zwS7mq3LWXbybN4ZncxMHRcuJ+NfyQEvT/Op5RrVdyU1TcuFK49/eqZUQrsWHmg0OnbuL/qb2npBhrK4I8dPmK07csxwfterW/DSuRxarZZL4YbxSV4VHkyjmfMW1Zu3zN8wqtFouH07Cjs7O1xdCp4hfRridh3CyskR9+YhZus8OxkmCri3+8G1N+f/l+9gPjOTZ8dQY59F6dodw9+FqhXNQ5Fq2cuuReWvXOXRoD0iNveA/8ptQ58VXC3c1NiBo72C+KSir9Pwyb4G3bq412zdzYuG65RP4BNepxJzrlOm1x1NZjrrf32NW5f20aDNCKlrf4xdu3Zx7do1+vXrZzKLoIuLC+PHjyczM5MlS5bku7+7d+/yn//8h+eee45OnTo90b5J4F4Av/32m8kgxoetW7eOixcv4uLiQq1ahvlZQ0JCuHnzJnv2PAgmMjMzee+99/Lczo8//khkZKTJZ6ZNmwZgln1+2kaPHk1qairjxo2zWBJz/fp1k3nRc6bQjIgw/+PXsGFDGjVqxLJly1ixYoXZep1OZ/LdPS3dunXDycmJP/74g2vXrhmXazQaPvnkk6e+P4XRILg+am9vtu/YyZUrD16ik5KSwp9/L8XayooO7R+8hCbu3j1u3rpl9m8aHn7ZrG+tVsuvv8/n9u0o6terh8dDsyrdvHXLYgb+5q1b/Prb7wC0a9P6SQ/PjG/1Zjh7+HLx2DpiI84bl2ekJXF4848oVdbUeibMuDzlfgz3oq+QkWb6yDo6l2z6jfO7uXJ6C7b2zqgDgo3LYyMvoNWal4ekpySwb/03AATULtrjPXYqgcg76bRv6UnVgAcDNh0dVAzpW4nMLB0bd8Qal7u7WeNX0d6stGbtZsONxajBfibLe3byoqK3HVt2x5KZ+SBoUqkUJvO6g6FW+NVhAfhXcmDFP3eIiy/6UpmQ4Hqovb3YtnM3l68++H1MTklh8d/LsbayomO7tsblhnM5guRHzuVLl80nD9Bqtcybv5DIqCiC6wWZnMs+ajUNGwQTGRXFPxs3m3zuz6UrSE5JIbRZk2Kbyz2/rD3ccKwRiLWHm8nyW/P+BgxvYVU8NJGAZ+dWeLRpQuym3SZzxd9e+i9ZCYkEvD4Eu4oPXgxnV9EL/9eGkBF7jzurthTpvl+5rScuUU/9QCVq9wcZUFtraFNfhUar59jlB0+ty9mDp4sC20funX08DEG7UgG/b8ziVkzeQfe1O3pi4nVUraikqo9p5rVTI0PAe/pa0de3+1YzXKcuHVtHbKTpderolp9Qqqyp+cyDWeNSEmOIj75qfp26lct16sJurmZfp7z9g43Lc8pjbl3aR3DrF2nR852iPbBiotMX709ecmKPdu3MX9aWM5nG3r3mN2C5eeutt1CpVHmWGeeX1LgXwObNm3nrrbcIDAykSZMmqNVqUlJSOHXqFPv370epVPLVV19ha2vIYL3++uts27aNAQMG0LdvX+zt7dmxYwcuLi55vt2zUaNGhIaG0qdPHxwcHNiwYQPh4eH06NGj0FNBFpXhw4dz+PBhlixZwsGDB2ndujVqtZqYmBjCw8M5cuQI8+bNw9/f8LivZcuWKBQKpk2bxoULF3B2dsbFxYVRo0YBMG/ePHr06MGIESOYM2cO9evXx87OjoiICA4fPszdu3eJjo7Oa5eKnKurK5988gnjxo2jdevW9O3b1ziPu42NDWq1GqWFx8/5ERcXZzIzTVZWFvfu3ePVV181Lvv444+fuI5epVLx5tgxvDflA95+dyKtW7XC3sGevXv3ER0Tw8sjR+D90Ftbf/t9Ppu3buM/b44zeUPqG2++ReXKAQQGBODh4UFSUjKnz5whIjKS8uXL89ZY0xq/nbt2s2LlKoKC6uBVoYLh3zIyksNHDE8qnhvQ/4ky/blRqqxo//zHrP7xJZbNGkz1kO7Y2Dpy+eQmkuIjCe31Ls4eD14bv2/d15w/vJIOA6dTu8mDmYb++rofHurqlPepjpOLN1mZady9fZHbV4+gVFnTYeCnWNs+CJZP7Pida+e2o64cQjk3H6ysbUm6d5vr53aSlZlK1eAuVA95tkiPVauDL364zBeTa/Pdx0Fs23OX1HQdrZq6o65gx/e/X+fOQ3OzjxrsT9d2FZg+K5wN2x8E9Bu2x9C2hQcdWnmi9rLjxNn7VFTb06qJO7fvpDNvseljYHdXa36fGcyRkwlERWdgZa2gcbAr/pUc2HfkHnP/KNoyihwqlYr/jH2diVM+Yvy779GmVSgO9vbs3ref6JhYRo94Ee+HnuL8Mv8PNm3dzoQ3x5i8IfW1N98mMCCAwMr+eHi4k5SUzKkzZ4mIvI1neQ/Gj33dbNvjXhvF2AmT+HrWD+w9cBC/SpW4fOUqx0+dxquCJ6NGDCuWY/Yd0Q+3Foa5uJ2Dqmcv6497a8Nc6/F7j3LrV8PsXQGvDab6lDFc+mgW4dNmG/uI23mQm7/8jd/IAbQ8tIKYf3diq/ZE3b8bmXHxnH3zY5NtahISOTtuGsHzvyD00Eqilv4DgLp/N2w8XDk26K0ifWsqGIKnlXuyeLGzNS93t+bUVR0ZWXqCAlS4lVPwz0GNyVtTOzWyomF1Fct2ZXEs3BBY29vAiK7W2NsquHhLR7WKSqo98uLRtEzY99D0jno9LNut4aWu1gzrbM3Z6zrup+gJ8FLiW0FJ5F0dOy28mOlJKVVWtBswjTVzX2bF7CFUa9ANG1tHrpzaRFL8bVr0fAdn9wfXqf3rv+bC4VW0f/5TajV+cJ1a+k1/3L2rUd6nRvZ1KpW4qEvG61S75z4xuU7tWPYBty7tw6GcJ9a2jhzcMMts32o17m2y7f/vcmYJfHhmuRxeXl44OTlx9epVs3WW/PXXX6xdu9b4Msy8Ki7yQwL3Apg6dSpNmzZl+/bt7Nu3zxhQqtVqBg4cyOjRo01mLmnXrh2///47M2bM4K+//sLNzY1evXoxZcoUizOW5Pjss89YtWoVCxYsICIiAi8vLyZOnMj48SVfj6ZQKJgzZw6dOnVi/vz5bNy4kZSUFDw9PQkMDGTatGm0adPG2L5mzZp8//33zJ49m7lz55KRkYGvr68xcA8ICGD37t3Mnj2bf/75h0WLFqFSqfDy8qJ58+b07NmzRI5z2LBhuLq68tVXX7F48WKcnZ3p2rUrU6dOpW7duiZTZxZEcnKy2eO1lJQUk2UTJ04skgGwwfXr8dXnM1i4aBE7d+9Gq9UQ4B/AiOEv0qaV+Zz6lvTtHcaFixc5lv0yGisrK3zUagY9/xx9wsIoV8508Fv9enW5eesWV65c5czZc2RkZODi7MwzjRrSo3s348ufioNvtab0G7uYg/9+R/jxf9BpNXioq9Oix9tUD8nfTE/Nuo8n4vJBIi4fJi35HgqlknKuaoKaPUdw62G4e5texGs+0wu9XsedGyeJCD+INisDO0dXfKo0otYzvfO93YI6fiaRN947w4jnfWnbojxWVgqu3kjlp4U32L43f+Uqej28N/0Cg/pUpFNrT/r38CEpWcM/W2OYt/gm9xNNS8KSUzTsPXyPoJrONGvohkar59rNVD7/4TL/bI0p1hkgguvVZeaMT5i/+E927N6LVquhsr8/L704lLatzEs7LOnfuxfnLl7k6PGTxnO5otqbwc/1p1/vnpSzMMDVR63mh2++ZP6iJRw+epyjx0/i5uZKr+5dGTJwAG6urkV8pAZuLRriO9R06lr3Fg1xb/HgxTo5gXteTr86haQzl/AbOYCAMUPRJqcSvWozF6d8Q+rVW2btIxevIfNuPFUmjqbSsD6gh/vHzhD+6RzitpmXcBaFq1F65q7Lon2IFfUClSiVEH1Pz4bDmnxlvW1twMHWkDWv4aukhq95UiU+SW8SuANExOr5YU0WHUJUVPFRYmsN91NgxwkNO05qySqmishK1ZrS941FHNw4i8sn/jVep5o/+zbVGuTvetG021tEXj5I5JXs65RCSTk3NXWaDqB+62G4e5lepxLvGZ7gpybFcnjT9xb7rFi1cakL3EtyVpmccYi5jSssV65cvgaZRkVF8e6779KvXz+6d+9eJPumSEiwMORaCGHR1atXCQkJoXfv3vz2229PffvxsU/36UNJWx9evaR34an6++d9j2/0P+KPGa4lvQtP1anahZs+rqza++Opkt6Fp0btXfhZ5MqioaFF+3bk3Gy9WLTvDXhU+xq5z5LUu3dvtm/fzrFjxwgMDDRbX6tWLVJSUh47QLV///6cOHGCAwcOGBNyN27coH79+jIdpBBFKSEhAXt7e2PZE0BaWhqTJhnenFlUd85CCCGEKF1yMu25ZdWTkpJwfcwTt8WLF7N582bmz59fpNNIS+AuhAV79uxhzJgxtGvXjkqVKhEXF8euXbu4efMmrVq1MnsDqxBCCCGKzuMGkBannNr2K1eumL28MTo6muTkZJM30Vty6pThqdOwYZbHwmzduhVXV1eCgoIKNBGHBO5lUEJCAnPmzMlX25wMsSiYWrVq0bZtWw4ePMj69YZXoQcGBvLee+8xZswY4+DU3bt35+sXrm7dujz7bNEOUhRCCCFE0WvRogVff/0127Zto2/fvibrtm7damyTl8aNG1ucfS8lJYUVK1ZQsWJFY3KwIKTGvQzKqY/Kj/zOty4KZ/r06fma3mngwIH5vtnKi9S4/2+TGvf/XVLj/r9LatyLx6bzxVvj3qlW7jXuGo2GRo0aERUVxebNm41zud+/f5/27dtz8+ZNDh8+bJxB786dOyQmJuLl5YXLY97tIDXu/w/5+/tLQF5KTJo0SZ5qCCGEEP9DrKys+O677+jbty/du3enT58+ODk5sWbNGm7dusW0adOMQTsYZh1csmQJ33//PYMHDy7efSvW3oUQQgghhCigkpwOEqBVq1Zs2LCB6dOns3LlSrKysqhduzZTp04t0XFuErgLIYQQQgjxiIYNG7Js2ePfmTBnzpx8l8M+adWEBO5CCCGEEKJU0ekVJb0LpVLh3tsuhBBCCCGEeKok4y6EEEIIIUqVkq5xL60k4y6EEEIIIUQZIBl3IYQQQghRqkjG3TLJuAshhBBCCFEGSMZdCCGEEEKUKjrJuFskGXchhBBCCCHKAMm4CyGEEEKIUkUv87hbJBl3IYQQQgghygDJuAshhBBCiFJFZpWxTAJ3IYQQQghRqsjgVMukVEYIIYQQQogyQDLuQgghhBCiVJFSGcsk4y6EEEIIIUQZIBl3IYQQQghRqkjG3TLJuAshhBBCCFEGSMZdCCGEEEKUKjKrjGWScRdCCCGEEKIMkIy7EEIIIYQoVaTG3TLJuAshhBBCCFEGSMZdiDIkTle+pHfhqTp+7G5J78JTpc3KKuldeGri8CzpXXiq9v54qqR34alq8Uq9kt6Fp2btxwdKeheertCnk/PV6Z7KZsocybgLIYQQQghRBkjGXQghhBBClCpS426ZZNyFEEIIIYQoAyTjLoQQQgghShXJuFsmGXchhBBCCCHKAMm4CyGEEEKIUkXenGqZZNyFEEIIIYQoAyTjLoQQQgghShW9FLlbJIG7EEIIIYQoVSRut0xKZYQQQgghhCgDJOMuhBBCCCFKFZ2upPegdJKMuxBCCCGEEGWAZNyFEEIIIUSpIjXulknGXQghhBBCiDJAMu5CCCGEEKJUkRcwWSYZdyGEEEIIIcoAybgLIYQQQohSRWrcLZOMuxBCCCGEEGWAZNyFEEIIIUSpopcid4sk4y6EEEIIIUQZIBl3IYQQQghRqkjC3TLJuAshhBBCCFEGSMZdCCGEEEKUKjKrjGWScRdCCCGEEKIMkMC9FHn11VdxdXXlxo0bJb0rZZZ8h0IIIUTZp9Ppi/WnrJLAvYBSUlL46quvaNWqFRUrVqRChQrUrl2brl27MnXqVK5du1bSu1iqTJ8+HVdXV3bv3l3Su1Li9Ho9mzdvZvz48TRv3hw/Pz/UajUtWrTgq6++Ij09vaR3UQghhBClmNS4F0BSUhJdunTh7NmzBAYGMmDAANzd3YmLi+Po0aN88803VK5cmcqVK5f0rv6/9cEHH/DWW2/h4+NT0rtiJiMjg/79+2Nra0toaCjt27cnPT2dbdu2MW3aNNavX8+6detwcHAosm1euXSOZYvnEX7hNFqNBt+AKnTr9TxNW3YoVH/JyYm8+/pg4u/dpV5IEyZOnWnWJjMzg3UrFrF/12Zi7tzG2saWajXqEPbci9SoXf8JjyhvAWorerVyoEolK1RKBRGxGjYfTOPI+cx8fT6oijXB1WyoWskadxclKpWCmHtaDp/LYNPBNDRay5+rE2hNt+YO+Hur0AM3ojSs25vGhetZRXdwj6hZrRwjB/kTVNMFKysFV6+n8NfqCLbtic13H9ZWCgb386Nz2wpUKG9HUlIW+w7HMfeP6yTcN993Gxslvbv60KltBXy87AAF0bHpbNsTy/J1kaSk5vIFFYHLl86zdNEvXLpwJvtcDuTZsOdo1rJ9ofpLTk7k7deGEn/vLvVDGvPfj742a5OZmcHa5UvYu2sLMXduY2NjQ7Wadej93DBq1q73pIeUp4rlFXQIUeFXQYlKCXfi9ew9o+X0NV2+Pl+9kpJafkr8vBS4OSlQKiHuvp5T13TsPaPN9VxWACHVlDSsrsLLTYFKBYkpem5E61l7QENmEZ/SFQf1xC20IS4hQZQLqo7K1oaTIycSsWBlwTpSKAh4bTC+Lw3AsYo/muRU7m7dx8Up35B2LcLiR8p3DKXqxNG4NKiDXq8n8dhZwj/9gbjtB4rgyHLn762iR6g9gRVVqJQKIu9q2Xo4naMX8vfl1gm0ol5VG6pUVOHhokKlhJh4LUfOZ7HlcLrFf9s2Ibb4eavw81KhLm/Y7teLk7h0S1PER1d0pMbdMgncC2DOnDmcPXuWoUOH8u2336JQKEzWX79+nczM/AUIonh4e3vj7e1d0rthkUql4v333+ell17C1dXVuDwrK4sXXniBDRs2MG/ePMaOHVsk2zt76iifffAmNtY2NG3VEXt7Bw7t2853n08m7m4M3XsPKnCfv//4FampKbmuz8zM4NP3x3Dp/Gn8AqrSoWtvUlKSObxvO9Mmvc6bkz6lUdNWT3JYuarhb81bA53J0ug5dC6TjAw9ITVteKWPM39vSWHTwbQ8P2+lgjefdyFLo+fijSzOXM3E2kpBnUAb+rR1pEENG75YeJ/MR/7ONQ2y5aVe5UhM0bH3VAYAz9S2ZfwgZ35akcTRC0V/TWhQ15Wvp9YlM0vH1l0xpKZpad3ck4/erU2F8lf4c5XlQOVhCgV89n4QTRq6c+ZCIjv3RVDJx55nO6lpWN+N0W8fJyHxQSChUimY9Ul96tR05tKVJP7ZGg1ASF1XRr1QmQ6tKvDyf46RkZG/wLIgzpw6xqdTxmNjbUPzVu2xs3fg0L6dzJzxAXdjY+jRZ2CB+/x1zjePPZenvfdm9rlchY7dwkhJSebQ3h1MnTiG8f/9mGeatnySw8pVoFrBi52t0Wjh1FUdGVl6ggJUDGxnjctBDXvO5H2DZKWCFztbk6XRc+2OnvAILdYqBdUqKejcyIra/krmrc8i65FuVEoY1N6KWn4qouJ0HAvXotGBq6OCGr5KNh+lyAP36lPH4RBQiYzYe2RExeAQUKlQ/dSd8xF+IweQdOYS12cvxNanAup+XfHs2IK9oc+Retm0fLLioJ4Ez/+CjJg4IhasAEDdvxtNNvzGsYFvcmfFxic+Nkuq+1kxdoATWRo4cj6T9Ew9ITWsebmXE27lUtlyOCPPz1upYEz/cmRp9Fy6qeHctQysraB2ZWvCWtsTXM2ar5YkkfXIder5joaEUEKSjuRUPS5OCgu9ly4SuFsmpTIFcPjwYQBeeukls6AdICAggOrVqxv/29XVle7du1vsq27dutStW9fiOr1ez7fffktISAheXl7Uq1ePGTNmkJVVuCvmokWLcHV1ZdGiRfz777+0b98etVpNrVq1+Pjjj9HpDH9oFy9eTIsWLfD29iYoKIjvvvsu1/1buHAhnTt3xtfXF7VaTZs2bVi4cKFJu+7duzNjxgwAevTogaurK66urmbHHRsby6RJk2jQoAEVKlQgMDCQF154gXPnzpltO+d7S0hIYMKECdSpUwcPDw8WLVoEWK5x3717N66urkyfPp3jx48TFhZGpUqV8PPzY/DgwbnWw69Zs4Y2bdrg7e1NtWrVGDt2LAkJCXn+2+XF2tqat99+2yRoz1k+fvx4APbu3Vvgfi3RajXMmz0dpULJ5M/m8PIbExkyciyffbcQdUU//lrwI7ExUQXq89De7ezbuYmBL76Wa5tN65Zx6fxpmrRox6czf+eFl9/klTff59Nv52NrZ8e82Z+RlkewVFhKBQzr5oReD58vvM/Cf5L5e2sKU+clcCdOQ+82Drg753250+th5Y4U/vPtPWb+mciybaks2ZTCB3PjOXEpg8o+1rRtZG/yGQc7BQM7OZKUomPaLwks2ZTCkk0pTPslgZRUPUO6OGFrU7R/IFVKePeN6uj08PrEE3z+fTizf73Ki2OPcDMilVFDK+PlafvYfrq286JJQ3c274zmlQnH+XH+Nd6ffo6v5oRTUW3Pyy8EmLRv3aw8dWo6s3NfLCPePMaseVeYNe8Kw8cdZdeBuwT6O9K2uWeRHisYzuW5s2agVCj5cMb3jBrzLkNfGsPns35HXdGXPxfMJTbmToH6PLh3B3t3bmbwi6/k2mbjuuVcOn+apqFtmfHtrwx7eSyvvflfPvvuN2zt7Jg7awZpqalPenhmlAroHWqNXg8/r89i1V4N/x7S8t3KTGITdHRqpMLVKe8+dDrYdETD9CWZ/L4xiw2Htaw9oGHm8izO39Di66mkaW2V2ec6P6Oilp+KDYc1zFqVxfqDWjYe1vLXDg3TF2eSVPSHy6nR77OtSlu2+DTj5tw/C9WHR+sm+I0cQNyuQ+xu3IcL//2Sky++w9G+r2Pj4UbQt5NN2lu5OlNn5vtkxN5jT+PenH3zY86++TF7GvcmMy6BoNkfonJyLIrDM6FUwJAuDuj18NXiJBZtTGX59jSm/ZrInTgtvVrZP/Y6pdPD6l1pvDv7PrOWJrNiRxp/bUlj6i+JnAzPJMDHijYh5r//s5cm8c7sBCb+cJ+T4cX3JFAUPwncC8DNzQ2AK1euFOt2Jk6cyMyZM2nTpg2jRo3C1taW6dOnM3LkyCfqd926dQwfPpyAgACGDx+Oo6MjX375JZ9++infffcdEydOJCgoiGHDhqHT6ZgyZQpLliwx6UOv1/Pyyy8zZswY7t69S79+/XjhhRdITU1lzJgxvP/++8a2gwYNokWLFgAMHDiQd999l3fffZdXX33V2ObatWu0adOGOXPmULlyZUaNGkXHjh3ZunUrHTt25MiRI2bHkZmZSc+ePdm2bRtdu3blpZdeokKFCo89/uPHj9OtWzdsbGx48cUXCQ4OZv369YSFhZnVly9cuJChQ4dy9epVnn/+eQYOHMjhw4cJCwtDoyn6R4vW1taAIStfFM6ePEp0VCTNW3ckIPDBzaSDoxO9+g9Fo8li99Z/8t1f4v14fp3zBaFtu9CgUYtc2x09aBjL0HfQSygfOhYvdSXadHiWxPvxHNy3vRBHlLeaAdZUcFdx8GwGt6IfpBHTMvT8szcNaysFzevlHcxqdbB+bxqp6Xqz5f/sM2Trq/tZm6xrVMsGR3slW4+kEZ/0INMcn6Rj29E0yjkqCalh86SHZyKkvhuVfOzZsjOay9ce3ASlpGpZsPQmNtZKurZ//FOnHp3VAPw433RczuoNUURGpdGxtRc2Ng/+RPh42wFw4Og9s772H44DwNXF2mzdkzpz8hjRUZG0aN2BgMBqxuUOjk70HmA4l3du/Tff/SXej2feD1/Ssm1nGjzTPNd2Rw7sAaD/oBEm57K3uiJtO3Yn8X4CB/YW/bkc6KPAw1nByas6ou49OBczsmDHSS1WKgUhVfO+Tuj0hrbpmRaWnzL8flT2Nr2hdHaAZrVVXLujY9cp84y+PvunqMVt20/azdtP1IfvyP4AXPrgW/QPJbhiN+4ibsdBPDu1xM5XbVyu7tcFazcXrn//B+mR0cbl6ZHR3PjhD2w93fEOK1w5YV5q+FtRwU3FoXOZRMQ8+I7TM2HDgXSsrRQ0Dcr7eqHTwb/700nN0Jst33DA8Hesmq95McWZqxoSU8pWClun1xfrT1klpTIFEBYWxt9//83YsWM5evQo7dq1Izg4GHd39yLdzpEjR9izZw8VK1YEYPLkyYSFhbFmzRpWr15Nr169CtXvli1b2LhxIyEhIQBMmjSJkJAQfvjhB8qVK8euXbsICAgAYMyYMYSEhDBr1iwGDnzwGHrBggUsW7aMwYMHM3PmTGPAmZmZydChQ5k9ezb9+vUjODiYwYMHc/PmTfbu3cugQYNo2dL8sfIrr7zCnTt3WL58Oe3bP6hVnTBhAm3btmXs2LHs27fP5DPR0dEEBQWxceNG7O3tH+0yV5s2beLXX3+lT58+xmWjR4/mr7/+Yv369fTt2xeAhIQEJk2ahKOjI9u3b6dKlSoATJkyhT59+nDixAl8fX3zvd38+OOPPwBo165dkfR37swxAOo2aGK2rl5IUwDOnzme7/5++f5zlEolQ0e9RVpK7hnzhHhDAFfBS222ztPLMO7g3MmjtOnwbL63nR81/A3n4dmr5mUpZ7KX1fCzZh15l8vkRpsdkz86E0GN7ED+3FXzDNbZK1n0amUI9vefzvvxd0E0CHIF4NDxeLN1h44ZgurgIJc8+7CxVlC7ujM3IlKJjjXft8Mn4gnr6kPNquU4de4+AFdvGP7dmzZ0Z+0m0wx3s2c80On0HDudUNDDeaxzpw3nab0Gjc3W1Q8xLDt/+gTks1rm5++/RKlU8eLocaTmeS4bvssKXubjZXLO77OnjtG2o+WnqoUV6G24WbocaV5yFJ69rLJaCScKN55Al3MuPxK3BFU21D2fuabBxhpq+SlxdVSQnKYnPFJHYjFk24uKR+smaJJTuLfvmNm62E278WjTBI9WjYlctNrQvpXhvLm7ZY95+817qP7BWEP7P1YX6X5W9zOEXOctjH05d82wrLqvFflPqZh6cJ0qZAeiTJCMewF069aNjz/+GL1ez+zZs+nTpw+BgYE0aNCACRMmFFkm/pVXXjEG7QA2NjZMnmx41Ld48eJC9ztgwABj0A5Qrlw5OnfuTGpqKiNGjDAG7QCVKlWiadOmXLx40STDPHfuXGOmPidof3Qfly1blq/9OXnyJAcPHmTgwIEmQTtA1apVGTp0KOfOnbNYMjN16tQCBe0AzZs3NwnaAYYMGQLAsWMPLvj//PMPycnJDBkyxBi0A1hZWZk8USgqmzdv5rfffqNGjRq88MILRdLnndu3APD2Mb/BcHXzwM7egTu3H18HDbBn+wYO79/BiNfewcnJOc+25ZxdAYiJNi/DiY02ZNWibt/M13YLwsvdkIGMuWcezCSm6EnP0FHBvfBPM0LrG7L1Z6+Z/sHN6TM63ny7Ocu8nmC7lvj6GM77iNvmNyH3ErJITdUY2+SmotoelUphsY+H+364n32H77Fr/11aN/fk15khjHmpCmNeqsJv3zYkpK4rn39/iUtXkgt7WLmKyj6X1RXNa58N57I9UVG38tXX7u0bObRvJy+9/nY+zmXDzU9MtHk2OOf8joos+nPZw8WQCb973zwjmJwGGZl6PJwLX37VsLrhfAx/5MbAx8PQp52NgvF9bXiujTWdn7Gibytr3h5gQ4s6RXseFxWVgz12PhVIvR5hMWJNya5td6zqb1zmWC3AsC7cvEwyZ5nDQ+2LSgW3nOuU+X4arlP6J7pOtahryNafv156B5wWhF5XvD9llWTcC+iNN95g2LBhbN26lYMHD3LixAmOHDnCzz//zMKFC/n111/p1q3bE22jWbNmZssaN26MlZUVp0+fLnS/luqycwZy5rZOq9USExODj48PqampnDt3DrVazcyZM83a5wT44eHh+dqfnDKY2NhYpk+fbrY+p5/w8HBq165tXG5nZ0edOnXytY2HBQcHmy3LuUG6f/++cdmZM2cAy/8OjRo1wsqq6H5tjh07xogRI3B2dub333/H1vbxtcn5kZMVd3CwXKdpb+9Aaurjg6z4uFjmz/2a5q065mtQaXDDply+eIYVf/7KG//50FhiEHPnNju3rgcgNaXogzt7W0PQkZZh+fFnWqbe2KaggqpY07qBHbdjNew5YVpSZW9ryH2kpZtvNz17Xwq73dw4Ohq+0+RUy3+cU9K0ODrkfY7mrE9OyaWP7L5ztpXjvelnGT20MoP6+FK9Sjnj8n+23uGwhScARSFnTISDg+XCbnt7xzwz5znuxd3lt59m0qJ1h3wNKg1u1JTwi2dZtuR3xr49xeRc3rHFkBNNKYZz2S57TER6puVzOT0L7ApZfVW9kpLGNZTExOs4ctE0cnGyN2y3XQMVlyP1/Lohi4QUPZW9lYS1sKJ7Uyti7+u5FFG6Ih4rF8N5qLlv+d9Ck5hs0g7Aytkp+zNJuba3fqh9UXncdSr9Ca5TdQKtaBlsS9RdrXGQvPjfJIF7IZQrV46wsDDCwsIAQ9A3bdo05s2bx5gxY+jQoQM2NoWva7VUr61SqXB3dycxMbHQ/ZYrZ34hyqmpzmtdzqDYhIQE9Ho9t2/fNg46tSQlH39EAeLjDX/oN27cyMaNuY/gf7S/8uXLWxwc/Dh5HaNW+yBjmpSUZNzOo5RKJR4eHgXetiXHjx+nd+/eKBQKVqxYQa1atYqk36I0d9Z0VFZWDB01Pl/tu/Z6nv27t3Jg9xaiIm5Qu15DUlOSOLRvB54V1NxMuVyof7uSEqC2YnTvcqRl6PlxRVKuU+j9f2Brq+TDt2tRu4YzH35xniMnDb+/jeq7MW5UVZqGuDPq7WPciSmdQcNP332GlZUVL456M1/tu/d6jv27t7J/91ZuR9wgqF5DUlKSOLhvJ54VvLmZkoxCUXYeWlcsr+D5tlakZ8HibRpjWUWOnF/LlDRYvPXBjDMXb+lYuUfDi52tCQ1SlbrAXRiml3yppxNpGXrmrk7+n7lO6ctwHXpxKjtXnVLMxcWFL774Al9fX+Li4oylHQqFwiQgfFheAXhMTIzZMq1Wy71793B2zvvxbnHKCXyDg4NJSEjI9WfdunUF6u/zzz/Ps79Bg0ynLSzuwC9nv+7evWu2TqfTERcXBV20mAAAiLVJREFU98TbyJndRq/Xs2LFCpMSpqJg72jItOc23V1aWmquGcwcu7au5+TR/Qx/5W2cXVzzt10HRz78/Ce69nqe1JRkNq1fxunjh+jQtTcvvvIfAJxd3PJ/IPmU9pjstr2NItcsV2781Va8NdAZvR6+WZLI7bvmv8tp2VMf2tuZb9fuMdm1wkpJMeyHUy5ZdUd7lTFjnmsf2eudHHPpI7vvnG0BDO3vR8um5fl89iW27YklMUlDYpKGbXti+eL7S7i72TB0QNGXF9g75JzLljOqaWkpODjmPQPIzq3/cuLoAUa8Mr4A57IDH30+h+69niM1NYUN65dz6vhhOnbtxYhXDDeyLq5Ffy7nZNrtcpmNyM4as0Gnj1OxvIIRXQwz1fy2IYuYBAtPiLK3e/m2zmyayPAIHVkaPRXLl76b7pysuZWL5euZpey6pSz8o+2zLGTjn9TjrlN2hbhO+XmrGPucE3q9nu/+TibqrtxY/a+TjHsRUSgUOD7yx8PV1ZXbt83rI2/cuMH9+/dzDcL3799vnI0lx6FDh9BoNIWahrColCtXjho1anDp0iUSEhLMpjW0JCejrbNQe9ioUSPAMM3mqFGjinRfn0RQUBAABw4cMD5VyXH06NEnnlUmJ2jX6XQsX77c+D0UpZza9ju3bxFYtabJuoT4ONLTUqlSLe8M//WrlwD49rP3LK4/dewgg3o0w79yNaZ/t8C43NGpHC+8NI4XXhpn0n7nFkOpTOBjtlsY0dm17RXcVdy4Yxp1ODsqsLNVcu12/qMdf7UV4wc6o1AYgvbrUZb/zWPuaansY42Xm4qraaZtvLLrWaMt1N0/iVvZ9eeVfOy5+EhNuburNQ4OVpwLzzvoiLyTjlarp1IutfA5y289VAPftKFhEL6lAajHThmWVQ98zDyFhaDOPpejIiNyOZfTqFqttqWPGl27YjiXv/lsssX1J48d4rlnQ/GvXJXPZ/1uXO7oVI6hL49h6MtjTNrnlMoEVq1RoGPJj7js2vbyLgpux5kGcU72YGujIKIAwVlO0K5QwK8bsoi8azkwzKmpt1Sio8cwf7tt0U6QVCS0qWmk386e/12pNKtzz6ltT3loHveU8Ou4NqqLYzV/Eg4mmLavZmj/6LzvRSEmPuc6peRmtKXrlCLXa40lft4qxj3nhFKh4Nu/ksyufWWdDLK1TDLuBfDbb7+ZDGJ82Lp167h48SIuLi7GkoeQkBBu3rzJnj0PRq5nZmby3nuWA6EcP/74I5GRkSafmTZtGoBZ9vlpGz16NKmpqYwbN85iScz169dN5kXPmUIzIsJ8IGTDhg1p1KgRy5YtY8WKFWbrdTqdyXf3tHTr1g0nJyf++OMPrl17MFWeRqPhk08+eaK+T5w4QVhYGFqtlqVLl9K4sflMGUWhVlADAE4fP2i27tSxAyZtclOtZl3adOxh9pPz1lX38hVo07EHzzRrna992rvTUA7VrJBvbc3LpZuGcq46geaRRVD2sos38zd3cU7QrlTCzD8TuXY79z+kF28a1tUONJ8GsU4Va5N9KyonziQA0LiBeba3cYh7dpv7Zuselpmp43x4Ev6VHCzO+f5MsBupaVouXH5wA2BlZcgSujmbH2vONJCZWUX/l7ZWUDAAp44fMlt38phhWa26wXn2Ub1mEG07PWv2k/PWVY/yFWjb6VkaN8/fubxnxyYAmrcq+nP52h3Dd1i1ovmf52rZy65F5e97fjho/21jFhGxuWdzr9w29FnB1Xy7jnbgaK8gPql0li7E7TqElZMj7s3Nn1x6djKMZ7i3+7BxWc7/L98h1Lx9x1Bjn0UtPPstpbUCzH+HalfOvl7k802mDwft3/2dxPWo/62gXeROMu4FsHnzZt566y0CAwNp0qQJarWalJQUTp06xf79+1EqlXz11VfGAYavv/4627ZtY8CAAfTt2xd7e3t27NiBi4tLnm/3bNSoEaGhofTp0wcHBwc2bNhAeHg4PXr0KPRUkEVl+PDhHD58mCVLlnDw4EFat26NWq0mJiaG8PBwjhw5wrx58/D3N2QtWrZsiUKhYNq0aVy4cAFnZ2dcXFyMGfZ58+bRo0cPRowYwZw5c6hfvz52dnZERERw+PBh7t69S3R0dF67VORcXV355JNPGDduHK1bt6Zv3744OzuzefNmbGxsUKvVKJUFv+eNj48nLCyM+/fv06FDB7Zv38727abzQLu4uPDaa7m/4Ci/guo3ooJ3Rfbt3EznHgOMc7mnpiSzeukCrKysadnuwSDq+Ht3SU1Jxs29PA6Ohqxps5YdLAbZsdFRHNi9hUp+lRk19r9m61NTU8wGxf6zaglnThzmmWatqVI97+xoYZy/lkVMvJYmdWzZejjNOJe7va2Cbi3sydLoTaZkdHFSYG+r5H6yzuTRtL+3ivEDnVFlB+1XI/P+I3rkfAb92jnQvpE9e09mGOdydyunpF1De5JSdBy7WLRvTj16Mp7IqDQ6tPZi6dpI41zujg4qhvb3IzNLx4ZtD6Zr9HCzwdFRRdy9TFJSH/xxX7PhNkE1nXllWGWmfnnBuLxXFzUV1fas3nCbzMwHAeLp84lUCXBi+EB/Pv32ovGthkoljBwUAMDxYpgOsm5wQ7y8fdi7cwtde/Y3zuWempLMyr8N53Krdl2M7Q3ncgpu7h7Gc7l5q/Y0b9XerO+Y6Cj2795KJb8AXhk70Wy9pXN5/aq/OH3iCM80a0XV6kX/9OjKbT1xiXrqByrZf1ZhnMvd1hra1Feh0eo5dvnBv2M5e0OJRWKqnoyH7hF9PAxBuzI7aL8Vk3fQfe2Onph4HVUrKqnqo+Dy7QftOzUyhAqnr5VsCtTaww2b8m5k3o0nK+7BYOhb8/6m4vPPUn3qOA52GWGcy92zcys82jQhdtNuk7niby/9l5qfvk3A60OI+H2ZcS53u4pe+L82hIzYe9xZtaXI9//CdQ2x8Voa17Zh+9EM41zudjbQpakdWRo9B888uF44Oyqwt1VwP1lnUh7l52UI2lUKBbOWJnHt9v9m0C417pZJ4F4AU6dOpWnTpmzfvp19+/YZA0q1Ws3AgQMZPXq0ycwl7dq14/fff2fGjBn89ddfuLm50atXL6ZMmWJxxpIcn332GatWrWLBggVERETg5eXFxIkTjW/XLEkKhYI5c+bQqVMn5s+fz8aNG0lJScHT05PAwECmTZtGmzZtjO1r1qzJ999/z+zZs5k7dy4ZGRn4+voaA/eAgAB2797N7Nmz+eeff1i0aBEqlQovLy+aN29Oz549S+Q4hw0bhqurK1999RWLFy/G2dmZrl27MnXqVOrWrWsydWZ+JSYmkpCQABjm1N+yxfwPg6+vb5EE7iqVFS+PmcRnH7zJtImv0rRVR+ztHTi0bzt3Y+4weMQYPB+aa/2v+XPYte0fRo97n9Ydnmxe6jde7EntuiF4+/iiAM6dOc61yxcIrFqLly0E+kVBp4f565N5a6Az77zgwqFzmWRk6AmpaUN5VxV/b0kh7v6DoKNPG0da1Lfj17VJ7MuegcHRTsH4QS442is5fSWT2pVtqF3ZNIOfmq5jy+H0h/5bz+KNKbzUqxyTR7py+Jyhr2dq2+LooOCnFUlk5DI7SGFpdfDZrEt8PbUu338WzNZdMaSmaWnd3BO1lx2zf7liMkB09LDKdGvvzSczL/Dv1gc3wf9ui6Z9ywp0bO2F2sueE2cSqKi2p3Wz8ty+k8bPC6+bbHfh0puENvGga3tvalQtx9FTDwanVvZz5FZkKn+uzN8UowWhUlkxauxEPp0yng/ffZ3mrdpjZ+/AoX07iY25w5ARr5u8N2DJ/J/YufVfXn3zv7Tp8GQzfL06LIw6dUPw9qmEQqHg3OnjXL18kcBqNXllnHmgXxR0eli5J4sXO1vzcndrTl3VkZGlJyhAhVs5Bf8c1JDwUIVUp0ZWNKyuYtmuLI6FZ4+5sIERXa2xt1Vw8ZaOahWVVKtoup20TNh39kHAp9fDst0aXupqzbDO1py9ruN+ip4ALyW+FZRE3tWx08KLmZ6U74h+uLVoCIBzUPXsZf1xb214Ghm/9yi3fjVMMRzw2mCqTxnDpY9mET5ttrGPuJ0HufnL3/iNHEDLQyuI+XcntmpP1P27kRkXz9k3PzbZpiYhkbPjphE8/wtCD60kaqmh9Endvxs2Hq4cG/QW2uSif8OzTg8LN6QydoAT/xlUjiPnM0nP1BNSwxoPFxXLtqUSl/jgOtW7tT3N6toyf30K+7MDegc7BeOec8LRTsmZq1nUCrA2y+CnZujZdsR0kHjnJrZ4exjK9yr7GEK/zk3taFbXsL0T4VnyRtUyQpGQYGGUihDCoqtXrxISEkLv3r357bffnvr2L0cX7A/n5UtnWb5oHpcunEar0eAbUIVuYQPNMuk/fjMt34F7bHQU417qQ72QJkycOtNs/S8/fM65U0e5dzcGFArUPr40b92Jzj36Y21dsCLZOUsLluGr7GNFz1YOVKlohUqlIDJGw+aDaRw+b5r1Hv6sk1ng7uGiZMYbeb9M7W6Clonfm097WCfQmu4tHPDztgK9nht3tKzbk2rxRSt5uXDgbL7b1qpWjpGDAwiq6YyVlYKr11P4c1UE2/bEmrT775s1LAbuANZWCob086NzWy8qeNqSmJTFvsP3+PmPa8QnmO+7h7sNL/Tzo0lDN7w87dDr4U5MOnsOxvHH0psk5TK9pCWzvy7Yk5fLF8+xdPEvXDx/Bq1Wg59/IN3DnjfLpP/wzSf5DtxjoqMYM7I/9UMa89+PvjZbP+/7Lzl7+hhxsdnnckVfQlt3oEuPfgU+l//eVbCJBSqVV9A+xAp/LwVKJUTf07PnjNYs6923pXng7uoE7zyX99Sy8Ul6vvjb/GlQBVcFHUJUVFYrsbWG+ylw+qqWHSe1ZBZgeE+LV+rlq129X6bjO7RPrutvLVjBqZGTAKg2+Q2LgTsACgUBrw/Bb+QAHKr6o01O5e7WfVyc8g2pVy3P8+/ZqSVVJo7GpUFt0MP9Y2cI/3QOcdv25+8gs639+ECB2geoVTwbam+4TikhMlbLlsPpHL1g+js3rJuDWeDu4azkk1fzfsFa3H0t7/1oOgHG+IFOZm9+fti6PWms25ue6/qHzXjl6VRZf7GyYO9qKagJvQv3Qr6SJoG7EBYkJCRgb29vMq96WloaL774Ihs3bmTevHn069fvqe9XQQP3sq6ggXtZV5DAvawraOBe1hU0cC/r8hu4/y8oaOBe1kngXrKkVEYIC/bs2cOYMWNo164dlSpVIi4ujl27dnHz5k1atWpl9gZWIYQQQhQdvU7yypZI4F4GJSQkMGfOnHy1nTRpUjHvzf+mWrVq0bZtWw4ePMj69dnTGAYG8t577zFmzBjj4NTdu3fna+abunXr8uyzzxbrPgshhBDif5sE7mXQ/fv383xz6cMkcC+cKlWq8Ouvvz623Z49e/L1bzFw4EAJ3IUQQoh8kkllLJPAvQzy9/c3zk4iStakSZPk5kgIIYQoYjoplbFIXsAkhBBCCCFEGSAZdyGEEEIIUarIC5gsk4y7EEIIIYQQZYBk3IUQQgghRKmi///1Go98k4y7EEIIIYQQZYBk3IUQQgghRKmikxp3iyTjLoQQQgghRBkgGXchhBBCCFGqyKwylknGXQghhBBCiDJAMu5CCCGEEKJUkTenWiYZdyGEEEIIIcoAybgLIYQQQohSRUrcLZOMuxBCCCGEEGWAZNyFEEIIIUSpopcad4sk4y6EEEIIIUQZIBl3IYQQQghRqsibUy2TjLsQQgghhBBlgGTchRBCCCFEqSI17pZJ4C6EEEIIIUqV4g/cFcXcf/GQUhkhhBBCCCHKAMm4CyGEEEKIUkUqZSyTjLsQQgghhBBlgGTchRBCCCFEqSI17pZJ4C5EGVL74A8lvQtPVWR4z5Lehaeq43PNS3oXnpoah78s6V14qtTeE0t6F56qtR8fKOldeGp6vN+0pHfh6XrlUEnvwf9rUiojhBBCCCFKFb1eX6w/+XHs2DH69++Pn58fPj4+dOjQgZUrV+Z7/zdv3sz48eNp3rw5fn5+qNVqWrRowVdffUV6enqhvhfJuAshhBBCCPGQXbt20bdvX+zs7OjTpw9OTk6sWbOG4cOHExERwZgxY/L8fEZGBv3798fW1pbQ0FDat29Peno627ZtY9q0aaxfv55169bh4OBQoP2SwF0IIYQQQpQquhKcVkaj0TBu3DiUSiXr16+nXr16ALzzzju0b9+eadOm0atXL/z8/HLtQ6VS8f777/PSSy/h6upqXJ6VlcULL7zAhg0bmDdvHmPHji3QvkmpjBBCCCGEENl27drFtWvX6NevnzFoB3BxcWH8+PFkZmayZMmSPPuwtrbm7bffNgnac5aPHz8egL179xZ43yTjLoQQQgghSpX81qEXhz179gDQ7v/au++wJq/+DeD3E0BEQJbIkKWoOBgOFBRwV1y4Wuu2VdtatdrW93W0P6t1tWpr7Vu1Wmtt67YqFrfiZijiQMSBW3Gx9x75/UGJpgmImOSRcH+uy6vmeU6S+0hKvjk5zznduimc6969O4CqFd1l9PT0AJSOyr8qjrgTEREREf3jzp07AABnZ2eFc1ZWVjAyMsLdu3er/PibNm0CoPyDwctwxJ2IiIiI3ijqX8e9fBkZGQCAunXrKj1vbGwsa/OqgoOD8fvvv8PFxQWjR49+5ftzxJ2IiIiISM0uXryIcePGoW7duvjjjz+gr6//yo/BEXciIiIieqOIOeJeNtJe3qh6ZmamwkWnL3Pp0iUMGjQIgiAgMDAQzZs3r1I2jrgTEREREf2jbG572Vz3F8XHxyMrKwuNGjWq9ONdunQJAwcOhFQqRWBgINq0aVPlbCzciYiIiOiNUiKVqvVPRXx8fAAAx48fVzh37NgxuTYvU1a0l5SUYOfOnfD09HzFfwl5LNyJiIiIiP7RuXNnODk5YefOnYiOjpYdT09Pxw8//IBatWph2LBhsuPPnj3DzZs3kZ6eLvc4UVFRGDhwIIqLi7Fjxw60b9/+tbNxjjsRERERvVHEnOOuq6uLn376CW+//Tb69u2LwYMHw8jICHv27EFcXBwWLFgAR0dHWft58+Zh69atWLVqFUaOHAkASE1NxcCBA5Geno4ePXrgxIkTOHHihNzzmJiYYNKkSa+W7fW7R0RERESkOmJuwAQAnTp1wqFDh/Dtt99i9+7dKCwsRIsWLTBv3jwMHjz4pffPyMhAWloaAODo0aM4evSoQht7e3sW7kREREREr6tt27bYuXPnS9utXr0aq1evljvm6OgoK9xViYU7EREREb1RSkScKvMm48WpRERERETVAEfciYiIiOiNIubFqW8yjrgTEREREVUDHHEnIiIiojeK2KvKvKk44k5EREREVA1wxJ2IiIiI3ijSkhKxI7yROOJORERERFQNcMSdiIiIiN4oXMddOY64ExERERFVAyzc3yATJ06EqakpHjx4IHaUaov/hkRERNWfVCpV65/qilNlXlF2djbWrFmDoKAg3LlzB4WFhahXrx4cHR3h7e2NMWPGoGHDhmLHfGN8++23WLJkCfbu3Qs/Pz+x44guODgYW7duxZUrVxAfH4/CwkLY2dnBy8sLn332GRo3bqzS54t5koTVpy7j8qNEFJWUoEl9M4zyag7/Fk6Vun/vFYF4mp5dYZv1Y3qijYOV7HarhRvLbRvg3ggL+vtU6rmromlDA4waaIXmTQyhqyPg/qNcBB5KQkhkeqXub2NZC918zNDY0QCNnQxQz0wP8UkFeP+/N5S2t7WqBb92JmjrZgzb+vqoa6yDtPQiXL6Rje37EvDoab4quyf/3BYCurhLYG8pQCIBElKlOHO9BNceVu4NqbGtABc7AfaWEpgYAjoSIDkTuHq/BGeul6BYyXVhggB4NBLQprEE5sYCdHWAjGzg5uPS+2TnqbiTL4h5nITVJy/hclwCikqkaFLfFKM6tIR/y8r9vu39446Xv5bf7402jlblnl+07wx2XIgFABz9z7uoZ1Sn8h14RfEPr+DcoRV4ev8SSkqKYGHdFK26vI8mrXpX6v4Prp/Gjci/kfjkOnIyklBSXAgjMxvYOLVBm24fwKy+/L9bWuJ93L58CA9vhCIt6QHystNQx9gCDRp7wbP7BJhZNVJHNwEAjtY6CPA1QKMGOtCRCHicVIxjkXm4cKOwUvdv2UgX7o1rwbmBDixMdKAjARJSi3H+eiGORuahqFjxPl3a6MPBWgcOVjqwqVf6vD9sycTNuCIV905egxH9YebbFiZtXGHs2hQ6+rVwefwsPNqw+9UeSBDgNGkk7D94F4bOjijKykHSsXDEzlmO3HuPlN6l3lu+aDxrAkxat4RUKkXGxau49c3PSD5xVgU9I01h4f4KMjMz0atXL1y9ehWNGjXCu+++C3NzcyQnJ+PChQtYvnw5GjZsyMJdRHPnzsXnn38OW1tbsaModeTIEURGRsLT0xM9evSAnp4eYmNjsXXrVuzYsQN//fUXOnfurJLnirz/DBO3HIO+rg78WzrCsJYejt54iJmBIYjPyMEY7xYvfYyR7ZsjM69A4Xhabj62n49F3dq10NK2nsJ5GxND9Hd3VjjuYm1Wtc5UgnszQyz8b0MUFkpxKiINOXkl8PU0wZeTHfHrticIPJT00sdo6WKIUQOtUFwsxcMneTAzqfhX5JjB1ujsZYp7cbk4eykDObnFcLKrjR4+ZvD1NMFXy+4h5mbFxWJVOFkJGNVNB0XFQMwDKQoKpWjuIMGQTro4cqEYZ65XvBqDjgQY2U0XRcVS3I+X4s5TKXQlgLOtBN1b66CZvYA/gosVCp53/HTQwkGC5Awprt4vQVEJYFdPgE9LHbg3lOCXA0VqKd4j7z3FxE3Bpa9l14alr+Xr9zFz5ynEp2djTEfXlz7GSO8Wyl/LOfnYHnmj9LXcwKLc+5+58wQ7LsTCQE8XuYXqLe4e3TqLPWs/hI5uLTRp3Qe19A1xJ/oIDm/4HFlpT9G6y7iXPsb966fw7EEUrBw9YNisPiQ6ukiNv4Mb5//GzYt7EfDhWtg18Za1jzj4E25FHYC5dRM0cu2OWvpGSH56E7Hng3Dn8mEEfPQrGji3U3lfmzroYuq7RigsAs5fL0BegRRtXPTw4QAjmBnn4GhkxR9+dXWAKUOMUVgkxc2HRbh2Lx96ukCLhnoY2NkArZroYdnWTPz7RzbsrdIPXWmZJcjKkcLESFB535RpOu9T1HGyQ35iCvKfJqCOk12VHsdt9Xw4jH8XmTE3cX/lRujb1ofNO71h+ZYPwnyHIue2/LfODUb0R6s/v0N+QjIebQgEANgM6QOvQ7/j4vDP8Czw8Gv3TdW4c6pyLNxfwerVq3H16lWMGTMG//vf/yAI8v+j379/HwUFim8MpDnW1tawtrYWO0a5FixYgO+++07h+KlTpzBgwAB8/fXXOHHixGs/T1FJCebvPwuJAPw2pieaWZsDAD7yc8eo9Qex4sQl9GjmAFtTowofZ5RXc6XHN5y9BgDo69YQ+ro6CudtTYwwsbPHa/ai8iQS4NOxdpBKgenf3sHdh6XV45agePxvThO8/7Y1QiPTkZBc8QheTGw2Pl9wG3cf5qKgUIqgXysuCM9fycSO/Qm481C+Wu3sZYJZEx3xyXsN8PH/3Xy9zv2LIAAB3jqQAvg9uAjxqaXHT10pwQe9ddGtlQTXHpagosFlqRQ4HlWMyJsleLGWlQgleLezDlzsJGjvIkX4tecfAGwtBLRwkOBRUgl+P1yMF99Te3lK4dVMB22bSHD6imqXcCsqKcH8veGlr+WxvdDMurS4/qizB0at24cVxy+iRwunl7+WvVsqPb4hPAYA0NfdGfq6yt8SM/MK8PWeUPRo4YjU7DxceBD/Gj2qWElxEU78NQeCIGDwJ5tg2aD0/8F2PSdjx49DcGb/cji7+6OueYMKH8cnYAY6D/5K4XjczTMIWjMW4fu+x7uf75Qdd2jmizbdPoClnfwH+puX9uPIxv/g1M55GDFznwp6+JxEAEb1qgOpFFi2JROPEko/Ke4Py8WsMXUxoJMBLsYWIiWj/NdUiRQIOp2LUxfzkZP//EUpkeRiwkBDeDSphS5t9BF8Tv4DwModmXgYX4yMbClG9KyDTq31Vdq38kRPmI2c2w+Q+/AJnKd/iGbf/PeVH8Oisxccxr+L5NPnENFrHKSFpb/Xnmzdh/b7foXr/77Cub4fyNrrmtZFyx9nIz8xBaHtByHvcenr9853v8I38m+4rvwaiUdCUZyl+kEGUj3OcX8FkZGRAIAPPvhAoWgHACcnJzRt2lR229TUFH379lX6WG5ubnBzc1N6TiqV4n//+x/atGkDKysruLu7Y8mSJSgsrNzXhv+2efNmmJqaYvPmzTh48CC6d+8OGxsbNG/eHAsXLkTJP2ulbtmyBT4+PrC2toarqyt++umncvNt3LgR/v7+sLe3h42NDbp06YKNG+WnSPTt2xdLliwBAAQEBMDU1BSmpqYK/U5MTMQXX3yB1q1bo379+mjUqBFGjx6Na9euKTx32b9bWloapk+fjpYtW8LCwgKbN28GoHyOe0hICExNTfHtt9/i0qVLGDhwIOzs7ODg4ICRI0eWOx9+z5496NKlC6ytrdGkSRNMnToVaWlpFf7sXqZ27dpKj3fu3Bmmpqa4e/dulR73387de4a41Ez0dm0oK9oBwLh2LYz3cUVhcQn2Rlf9uf6Oug0AGNhKtVN7qqpVcyPYWunj5Jk0WdEOADm5Jdi+LwF6ehL08Hn5aP+zxALcuJODgsLKjfQcDU1VKNoB4FREOh49zYdjg9qoa6T4weZ1NLQWYG4s4Mo9qaxoB4D8QiA0phi6OgI8GlX8q71ECoTEyBftZcdDY0p/HzjWl/8dZ/ZPXXzvqRT/Hgi7+aj0gKEaap9z956WvpbdGsmKduCf17Kve+lr+fLtKj/+35duAQAGtm5SbpulhyKQX1iML/t4l9tGVR7dPov05Ido2qafrGgHAH0DY7TtMQElxYW4Efn3Sx9HV0/5D8O+aQfoG5ggPemh3PHm7QcrFO0A0LR1X5haOiEl/jZys1IVzr8OF0dd1DfTwblrBbKiHQDyCoBDZ/OgpyvA27VWhY9RUgIcPJMnV7SXHT90tvT/zSb2ih/IYu4WISNb8yO6ycfPIPfhk9d6DPvxQwAAN+f+T1a0A0Di4dNIPhkBy55+qG1vIztu804v6JmZ4P6qTbKiHQDyHsfjwc+boG9pDuuBPV4rkzpIS6Rq/VNdccT9FZiZlb7x37lzB+7u7mp7nlmzZiEiIgKDBg2CoaEhDh06hG+//RZXr17Fhg0bqvy4+/btw4kTJ9C3b194eXnhyJEj+P777wEAdevWxffff4/evXvD19cXe/fuxZw5c2BpaYnhw4fLHkMqleLDDz/Ezp074ezsjHfeeQd6eno4efIkpkyZgtjYWCxcuBAAMGLECABAWFgYhg8fDgcHBwCAiYmJ7PHu3buHfv364fHjx+jWrRv69u2LxMRE7N27F8ePH0dQUBA8PT3l+lFQUID+/fsjOzsbvXv3ho6ODurXr//S/l+6dAk//fQT/Pz88P777yM6Ohr79+/HtWvXcObMGbmieuPGjZgyZQrq1q2LYcOGoW7duggODsbAgQNRVFQE3XJG5qrq3LlzSEtLQ4cOHVTyeOf/GRHs0MhG4VxH59JpRBceVm3UMCouAXeT0tHCxgIuVuZK22TmF2DnxZtIy8mHiYE+Wtlbokl99U2TcWtWWlVevJqpcO5CTOY/bQyBPWqLoKCouPSNoVjFbxBOVqUF9Z2niqOQt5+UPte/i+5XUTa3/d+xE9NLDzS0ESCJlj/f1K70+e4+U/2b4fn7zwAAHZwVp791bPzPa7mKI+Cy17KtBVyslb+WT8XGYe/lO/h2cCeYGxpU6XlexePb5wAA9i6K14I4uPgCAJ7cjazy4z+9fwn5uemwadi20veR6Oj981/Vfght6lD6e/T6fcVBqWv3So81tdfFgSo+vuy1rGX7+Fh09kJRVjZSwi8qnEs8EgKLLl6w6NQejzcHlbbv1B4AkHQ0VLF9cCiazp1a2n5TkHqDk0qwcH8FAwcOxF9//YWpU6fiwoUL6NatG1q1agVzc+W/8Kvq/PnzCA0NRYMGpV+FfvXVVxg4cCD27NmDoKAgDBgwoEqPe/ToURw+fBht2rQBAHzxxRdo06YNfv75ZxgbG+P06dNwcnICAEyZMgVt2rTBihUr5Ar3DRs2YOfOnRg5ciR+/PFH6OmV/kIvKCjAmDFjsHLlSrzzzjto1aoVRo4ciYcPHyIsLAwjRoxQenHqxx9/jGfPnmHXrl3o3r277Pj06dPRtWtXTJ06FeHh4XL3iY+Ph6urKw4fPgwDg8q/kR45cgTr16/H4MGDZccmTJiA7du3Y//+/Xj77bcBAGlpafjiiy9gaGiIEydOwNm5dK72nDlzMHjwYERFRcHe3r7Sz6vM8ePHERERgYKCAty5cweHDx+GhYUFvvnmm9d63DIPUzMAAA7mdRXO1TMyQJ1auniYklGlxy4bbR9cwWj7zfhULDwQIXfMx9kWC/p3VEvx08C6dFTu8TPFqWqp6UXIyS2GrZVmvgoHSi+SdbKrjdi7OcjOUW3VYG5cWiSnZCoWydl5QH6hFBZ1q164t3Yu+2Ag//gJacDZ68Xwbq6DSQECbj8pvYDVrp4AG3MBJy4XI/aR6gv3step8tdyndLXcnIVX8sXS0fbB7duqvR8Wk4e5u8NQ9dmDujtpr6LM+WeM6n0G0DTeo4K5wzrWkJPvw7SEiu/atbD2FA8vXcJxUUFSE96gPvXTqK2oRl8B86q1P3jH0Qj5dkt1Ld3g76B4s/gddQ3K/0gkJCi+P9IRrYUeflS1Dev+ocFH7fS3wvX76v3mgRN0qljgNq29ZERE6v0E0n2P3PbDRs/f/0YNnEqPXdL8XVTdqxOY8XXm9hKpFr2iUtFOFXmFfTp0wcLFy6EVCrFypUrMXjwYDRq1AitW7fG9OnTcefOHZU8z8cffywr2gGgVq1a+Oqr0rmKW7ZsqfLjvvvuu7KiHQCMjY3h7++PnJwcjBs3Tla0A4CdnR28vb0RGxuLoqLnv/TWrl0LQ0NDfP/997Ki/d8Zd+58Pm+yIpcvX0ZERASGDx8uV7QDQOPGjTFmzBhcu3ZN6ZSZefPmvVLRDgAdO3aUK9oBYNSoUQCAixefj1wcOHAAWVlZGDVqlKxoBwBdXV3Mnj37lZ6zPMePH8eSJUuwfPly7NmzBw0aNMCuXbvQunVrlTx+Vl7paJWRvp7S84b6esjKf/WpVzkFhThy/QFq6+mgl6uT0jZjvFvgz/d74eS0dxE2fRj+fL8XfJxtEXbnCaZsP4FiNQx/GRqUvrln5ypZPgJATl6JrI261TGQ4D8f2qO4RIrf/nqq8sev/c+PVMl1lgBKp8yU82N/qca2Ato2kSAxTYpLtxV/TocvlOBQZDFMDQGvZjro2EIHDvUluPtMiusP1fMmK3st11Y+ZcJQvxay8l/92qKcgkIcuXYPtfV00ctN+YIC3xw4i8LiEvxfX/VPkSlTkFv6DVGt2sZKz9fSN0JBnuI3S+V5GBuGyCOrcPH4r7gTfQRGpjbo/9GvsLJ/+XS//NxMHN06C4IgQceAV5+L/TIG+qUfEnPzlX/gyyuQytq8qpaNdOHXSh9Pk4oRFq2+1Z00Tdek9HVRlJ6l9HxRRpZcOwDQrWv0z30UXzdl7fVMlL/exMSpMspxxP0VffLJJ3jvvfdw7NgxREREICoqCufPn8evv/6KjRs3Yv369ejTp89rPYey6RLt27eHrq4urly5UuXHVTYvu+xCzvLOFRcXIyEhAba2tsjJycG1a9dgY2ODH3/8UaF9WYF/69atSuU5f/48gNI57t9++63C+bLHuXXrFlq0eD73snbt2mjZUvmFZhVp1aqVwrGyD0jp6c+XC4yJKb1YTdnPwdPTUyXTZBYuXIiFCxciKysLsbGxWLp0Kfz9/bFy5UoMGTLktR9fXQ5fvY+cgiIEuDeCkb7yQmpaD/mv4D3sLLFiWDd8uDEYFx7G4+TNR+jezEETcTWulp6Ar6Y4wcG2Nv7Y+RRXblSfi71sLQS846uD/EJgR0iR0uUg+3npwNVJwMHzJbgRV4LCYsDBUkAvTx180EsXfx4txpPk6vGGeDjmXulr2cNZ6Wv5cMw9HLl6HwsH+ql12Ud18+0/E779Z6IgPxupz+7gXPAq7FoxAt2GLoJL24By71dUkIcDv3+C1IS78O7zGewae2kw9etxtNbBB/2NkJsvxdqgLKXLQRJVVyzcq8DY2BgDBw7EwIEDAZQWfQsWLMC6deswZcoU9OjRA7VqVXxBTUWUzdfW0dGBubk5MjKq9pUwUJpb2eO+7FzZRbFpaWmQSqV48uSJ7KJTZbKzK1espKaWXuh0+PBhHD5c/lJU/368evXqKb04+GUq6mNx8fPf7JmZmbLn+TeJRAILi/KXjHtVRkZGaNu2LTZv3owuXbrgs88+Q9euXZU+9ys97j/DsuWNqmfnF6JuOSOYFdl9ufRbpcGtyr+QTxmJIGBw68a48DAeUXEJKi/cy0bayxtVr1Nbgqwc9b576+kJmPupE1q1MMK2vQnYvi9RLc/zzwA0yvvx6euVPxpfHhvz0uUlpQA2HS9GopJl71s3Lh2NPxhZjAu3nlf1t59IseN0ET7up4durSTYdEy1/86y13I5ncrOL0Dd2q8+DWr3PxelDm6jOE0mPTcf3x44C78mdujnobisqTrVMij9PVXeqHpBfhb0DUyUnqvwcfUNYeXojr5jV+Gv5e/g5I65cHDxgYGR4lTPosJ87F8/CY9vR6Bt94/g2ePjV36+yigbaS9vVL12LUHhotOXcbDWwdShRpBKpfjpryw8TdKu6RZlo+a6JspXUVI2uv7iKHxhSprS9oVKRuPFVp1HxdWJU2VUwMTEBN999x3s7e2RnJwsm9ohCIJcQfiiigrwhIQEhWPFxcVISUlB3bqqnWP4KsoK31atWiEtLa3cP/v2VW7JsLLHW7p0aYWPV3aRa5mqFO2voixXUpLiut8lJSVITk5W+XPq6urCz88P2dnZuHTp0ms/noNZ6etE2Tz2pKxc5BQUKZ0zXJE7iWmIfpSIhhZ10drh5RcD/5tZndKLf9WxBnbZ3Payue5yz2uiizoGOngSr76vy2vpCfj6Uye0cTXGjv0J+HPXM7U9V9nc9rK57i8yrA3o6wlIzqj8G56NuYDR3XUgCMCmY+WPmDe2LX27uB+vWAjFp5UWYTZmqv9/s+x1qvy1nFP6Wrao4mu5nglaOyhuuPQ0PQtpufkIufUIreb9Ifen7ELYHsv+Qqt5f+DGM9X+Piib21421/1F2RmJKMzPgall1ecjS3R00aCxFwoLcpAQF6NwvqggD/t/m4i4m+Fo0/UDdOg7rcrP9TIJqaXvj/XNFUuRuoYCausLSEip/AdBB2sdfDrUCBJBwE9/ZeHBM+0bai/OyUXek3/Wf5co/ruVzW3PfmEd9+xb90vPNVFy3cQ/x/697ju9uVi4q4ggCDA0NJQ7ZmpqiidPFJd9evDggdzUjH87c+aMwrFz586hqKioyssQqoKxsTFcXFxw8+ZNpKWlVeo+ZSPaJUrmNZetFlO2zOabwtW1dO3us2cVd5O7cOGC3Jx/VXr2rLTYe/Hagary/Gf3xzN3FedYh98pfU22VVKwVOR1l4C88rj0g5BtOSNFr+NKbOmIUpuWit+qtHUtPaauaSu1/hlpb+NqjJ0HE7F+h/qKdgB4EF9aWDvbKP76bmxbWjg/SKhc4V5WtEsEYPPxYjyuYJqLzj9PV0fJ6KiOBKilBxSpYXDT07F0Ot+ZO4q/S8Nv//NarmC3U2XKLkotbwlIU4PaGNS6idI/9YxKr63p7dYIg1o3gamB8iVeq8r2n02O4mLDFM49jC1dFcS20etthJSdUTo4JNGR/9K9qCAP+9dPQtzNcLTuMk4t89pfdOufXUqbOyn+zmvRsPRYZXcylS/aM3H/qfYV7WWST5+DrpEhzDu2UThn2bN0EYiUkOfvq2V/r9fDV7H9W76yx3zTSKVStf6prli4v4Lff/9d7iLGF+3btw+xsbEwMTFB8+ala++2adMGDx8+RGjo8yWYCgoK8H//938VPs+aNWvw+PFjufssWLAAABRGnzVtwoQJyMnJwaeffqp0Ssz9+/fl1kUvW0Lz0SPFLZjbtm0LT09P7Ny5E4GBgQrnS0pK5P7tNKVPnz4wMjLCpk2bcO/ePdnxoqIiLFq06LUeu7zR9GPHjmHfvn0wMTFBu3avvzth+4bWsDM1wsGYe7jxLEV2PDOvAL+FxUBPR4J+7s9XyUjMzMG9pHSlO0sCQGFxCfZduQtdiQQB7uWvrnErIRWFSiZHR8Ul4PczMdCVSPBWc9WvXhB1LQtPE/LRpYMpGjk8L6TqGEgwtF99FBaW4Gj48zWozUx0YWejjzoGr/crUO+Fon3XoUT8tl31F6P+291nUqRkSuHWUIDVCyts6usBvq46KCqW4vLd5z8DIwPAoq7iBas25igt2iXA5hPFeJRU8RtZXGLpeT9XiayIL9PFXQIdiYD78ap/M2zfyAZ2ZsY4eOWu3Oh2Zl4BfguNLn0tvzCdpfS1nFbxazn6TulruZxpMNYmhpjb30fpH8d/Rvf/09MTc/v7wNrEUOljVJV9kw6oa2GPmxf3IfHxddnx/NxMXDj6CyQ6emjW7vnKYtkZCUiNv4v8XPmpDvFxyq+HenAjBHevHIW+QV1YO7aSHS+bHhN3MxytOr8Pn/4zVNovZW7cL0JiajHat6gFu/rPp7nVrgX08q6NwiIpImKe/xzrGgqwMpcoTBNzsCot2nUEASt3ZOLeE+0o2vUszGDo0gh6FvJL6cat+wtA6S6swgsDPZb+nWDRxQuJR0Lk1op/suMgCtMy4DR5FGo3eP4ht3YDKzhOGoX8xBQ8+/uomntDqsI57q8gODgYn3/+ORo1agQvLy/Y2NggOzsb0dHROHPmDCQSCZYtWwZ9/dL5lpMnT8bx48fx7rvv4u2334aBgQFOnjwJExOTCnf39PT0hK+vLwYPHow6derg0KFDuHXrFgICAqq8FKSqjB07FpGRkdi6dSsiIiLQuXNn2NjYICEhAbdu3cL58+exbt06ODqWFmd+fn4QBAELFizAjRs3ULduXZiYmOCjjz4CAKxbtw4BAQEYN24cVq9eDQ8PD9SuXRuPHj1CZGQkkpKSEB+vvl0KlTE1NcWiRYvw6aefonPnznj77bdl67jXqlULNjY2kCj5irIyunbtihYtWqBly5ayC35jYmJw5swZ6OnpYeXKlQrf3FSFrkSCuf06YOKWYxi/4Qj8WzqWbhN/4yGepmdjWo+2aPDCTpM/nbiEvdF3MS+gIwYoKWZO3YxDak4+ujdzqHA5xw1nryH09mO0sq8P67p1oCuR4E5iOs7cfQJBEPBFr/awN1f96gUlJcCP6x9h4X8b4rsvnHEqIg05eSXw9TSBVb1a+HXbEyQkPZ/vP3aINd7yNceydXE4Gvq8oK9rpIMPhj1f+15HR0BdIx1M++D5tuTrtj1FRlZpYTDlvQZo42qMlLRC5OaVYORAxZHf4NAUued+XVIpsPdsMUZ108HYt3QR80CKgkIpmjtIYGok4MiFYrldU7u30kErZwn+Di/C5bulhXXtWsDo7row0Bdw63EJGtkIaGQjP5KeVwBE3Hj+ASDyZgk8GknQyEaCyf0F3HlSenGqvaUAu3oSZOdJceKy6gsmXYkEcwM6YuKmYIz//RD8XRuWvpav3y99Lb/liQamz19TPx27gL2X72DeAB8MUHItxqnYh0jNyUP35o4aWZf9VUl0dNHt3QXYs/ZDBK4chSat+6CWviHuRB9BZuoT+PSfgbrmz1+PZ/b/gBuRf6P7sG/QvP3zVbN2LB8Cc+smqGfrAiMTaxQW5CD56U08uXseEh09dBu6CHr6zy+6PblzLuJuhqOOsSX09A0RcWiFQrbm7QfJPffrKpECGw/lYOq7RvjPCGOcv16AvAIp2rjowcJEBzuP5yD5hV1TB3U2QAc3ffy5Pxtn/ino69QW8OlQIxjWliDmbiGaO+kpjODn5Etx/Lz8VDl/L31YW5R+WGhoW1oK+XvXRge30ueLulWIy7dU9/9tGftx78DMp/QC/rquTf85NgTmnUvXWk8Nu4C49aUrszlNGommc6bg5vwVuLVgpewxkk9F4OFvf8Fh/LvwOxeIhIOnoG9jCZshfVCQnIqrny2Ue86itAxc/XQBWv35HXzP7cbTHaUr49sM6YNaFqa4OOLzN3LXVGXf1BML91cyb948eHt748SJEwgPD5cVlDY2Nhg+fDgmTJggt3JJt27d8Mcff2DJkiXYvn07zMzMMGDAAMyZM6fCjXYWL16Mv//+Gxs2bMCjR49gZWWFWbNmYdo09c01rCxBELB69Wr07NkTf/75Jw4fPozs7GxYWlqiUaNGWLBgAbp06SJr36xZM6xatQorV67E2rVrkZ+fD3t7e1nh7uTkhJCQEKxcuRIHDhzA5s2boaOjAysrK3Ts2BH9+/cXpZ/vvfceTE1NsWzZMmzZsgV169ZF7969MW/ePLi5ucktnfkq5syZg5CQEISFhSEpKQkSiQR2dnZ4//33MXHiRLi4uKisD+2crPH7e/5Yc/oyjlx7gKLiEjSub4rPurWBf8tXy7/7n2kyg14yTaZrU3tk5hXgZnwqzt59isLiEtQzqg3/lk4Y2b453Bq83kW3FYm+kY3/LrqDUYOs0Km9KXR0BNx/lIf1fz3F6XPlT017Ue3aErzlK3+xnkFtHbljm/6OlxXuVvVKh/7MTfUwSknRXporS6WFOwDcj5di/ZFidHGXoKWjAB2JgPg0KY5eKsbVBy8f9dbXe35BYJMGEjRpoNgmLUsqV7gXFAK/HSqCT0sJXOwk8GgkgUQAMnKA8zeLcTqmBJk5KuuinHYNbfD7uN5YczIKR67eK30tW5nhsx6e8HdVvpRjecouSh1UwU6pYrNr4o23P9mMiMMrcDvqIEqKi2Bh0xQd+/0XTVpXbtUy7z6f4/HtCDy+E4ncrBQIggTGZjZo6f0uPDq/B3Mr+Q/oGSml3/LmZCYi8sgqpY/ZoHF7lRbuAHDzYRG+35yJfr4G8GxeCzoS4HFiMQJPZuHCjZf/f2NQS4DhP9+cuTbSg2sjxWk3yenFCoV7y0Z6aOqgp3Ds+X1K1FK4m/m0hf0Y+WWJzX3awtzn+WpcZYV7Ra5MnIPMmJtwGP8unKaMQXFWDuL/DkbsnOXIuRun0P7xlj0oSEqF86wJsHtvMCAF0i/G4NY3q5F8XHF6Lr25hLS0tOo70YdIw+7evYs2bdpg0KBB+P333zX+/LX2KI6CabPBx8T54CYW7x7NX95IS8yQfC92BI1aZ1K5DY+0xdWYNLEjaEzAbM2t8/8m8E3SzHz4kf99/PJGr2Hz90pGLKoBznEnUiItLQ35+fIjNLm5ufjiiy8AAH379hUjFhEREdVgnCpDpERoaCimTJmCbt26wc7ODsnJyTh9+jQePnyITp06KezASkRERKojlXKOuzIs3KuhtLQ0rF69ulJty0aI6dU0b94cXbt2RUREBPbv3w8AaNSoEf7v//4PU6ZMkV2cGhISUqmVb9zc3NCvXz+1ZiYiIiLtxsK9GkpPT69w59IXsXCvGmdnZ6xfv/6l7UJDQyv1sxg+fDgLdyIiokrizqnKsXCvhhwdHSu9ARKp1xdffMEPR0RERKQRLNyJiIiI6I3CEXfluKoMEREREVE1wBF3IiIiInqjlHBVGaU44k5EREREVA1wxJ2IiIiI3iic464cC3ciIiIieqNISzhVRhlOlSEiIiIiqgY44k5EREREbxROlVGOI+5ERERERNUAR9yJiIiI6I0i5XKQSnHEnYiIiIioGuCIOxERERG9UUo4x10pjrgTEREREVUDHHEnIiIiojcK13FXjiPuRERERETVAEfciYiIiOiNwnXcleOIOxERERFRNcARdyIiIiJ6o3Add+U44k5EREREVA1wxJ2IiIiI3iic464cR9yJiIiIiKoBjrgTERER0RuF67grxxF3IiIiIqJqQEhLS+MkIiIiIiKiNxxH3ImIiIiIqgEW7kRERERE1QALdyIiIiKiaoCFOxERERFRNcDCnYiIiIioGmDhTkRERERUDXADJiKiGiYrKwu3b99GTk4OOnbsKHYcIiKqJI64E1GNtWTJEmzbtk3sGBrz4MEDDB8+HE5OTujWrRsCAgJk586ePQsvLy+EhISImJCIiCrCEXciknPjxg38+uuvuHjxItLT01FcXKzQRhAEREVFaT6cin3//feYOHGi2DE0Ii4uDm+99RZSUlLQp08fJCQk4Ny5c7Lznp6eSE5Oxq5du+Dn5ydiUtXw8vLCmDFjMHz4cJibm4sd542QmpqKrKws2Nvbix2FVCAlJQWXLl2Crq4u2rdvDwMDA7EjkQZwxJ2IZEJDQ9GlSxesX78eMTExyM/Ph1QqVfhTUlIidlSVsLOzQ3p6utgxNOLbb79FWloa9u/fjw0bNqBLly5y53V1ddGhQwdERESIE1DFHj16hK+++gotWrTA+PHjcerUKbEjie7//u//0KpVK7FjvJa8vDysWLECw4YNw6hRo/D777+jsLBQadvVq1fDw8NDwwlVKyQkBN27d0fDhg3Rt29fXL58GQCwa9cueHh4YMiQIRg0aBBatmyJAwcOiJyWNIEj7kQkM2/ePBQVFeGnn37CiBEjoKOjI3YktXr77bexbds2pKenw8TEROw4anX8+HH069cPXl5e5baxt7fH6dOnNZhKfWJjY7Fjxw5s2LABgYGB2L17NxwdHTFmzBiMGDECVlZWYkcUhVQqFTtCleXn56Nfv364ePGirB8HDhzAr7/+ij/++ANNmzaVa5+eno64uDgxoqrEnTt3MGTIEOTn58PU1BTh4eEYMmQIduzYgcmTJ6NJkybw8/PD06dPsX//fowdOxahoaFo0qSJ2NFJjTjiTkQyMTExGDx4MEaPHq31RTsATJ8+HS1btkT//v1x+PBhJCYmih1JbVJTU+Hg4FBhG6lUioKCAg0lUi8jIyOMHTsWJ06cQGhoKMaPH4+0tDTMnz8frq6uGDVqFIKDg6t1IVvTrFq1ChcuXIC/vz+OHDmCEydOYOzYsYiNjUXv3r21Yvrei3788UcUFxcjKCgI9+7dw+HDh5GRkYHx48ejc+fOOHnyJL755hv8/vvv2Lp1KwoKCrBmzRqxY5OaccSdiGTq1KkDS0tLsWNojI2NDYDSgnX48OHlthMEAcnJyZqKpRaWlpa4c+dOhW2uXbsGOzs7DSXSnJYtW+K7777DwoULERQUhI0bN+LAgQM4cOAAbG1tMWrUKIwZMwa2trZiR30lrzoNJCUlRU1JNCMwMBCNGzfGpk2bZAMLrVq1Qq9evTBu3DgMGjQIgYGBaN26tchJVSMiIgI9evRAp06dAADt27dHz549sW/fPvz6669ygyvdu3dHhw4deHF5DcDCnYhk3nrrLZw5c0bsGBrToUMHCIIgdgyN6Nq1K7Zv346YmBi4uroqnA8PD8fp06e1+mJdfX19dO/eHfHx8bh9+zaePXuGx48fY8mSJfjhhx8wZswYzJ8/H3Xq1BE7aqU8fPgQEokEenp6lWpf3lzw6uLu3btKvw186623EBQUhEGDBmHQoEHYtWsX2rZtK1JK1Xn06BH69Okjd6xx48YAABcXF4X2LVu2xObNmzWSjcTDwp2IZBYsWIBevXphxowZ+Prrr6tNAVNV+/fvFzuCxvz3v/9FUFAQ+vTpg6lTp+Lu3bsAgODgYERERODnn3+GhYUFpk6dKnJS9Th+/Dg2bNiAgwcPorCwENbW1pg+fTpGjBiBy5cvY+XKlVi/fj1ycnLw888/ix23UmxsbGBmZoawsLBKtZ84cSK2b9+u5lTqo6uri9q1ays916ZNG/z9998YOHAgBg8ejB07dmg4nerp6ekpfNiqVasWACj93WxoaKg1CwdQ+Vi4E5HMuHHjYGhoiHXr1mHr1q1wdnaGsbGxQjtBELBnzx4RElJVOTo6IjAwEOPGjcOiRYsgCAKkUimGDh0KqVQKOzs7bNiwAdbW1mJHVZknT55g06ZN2Lx5s+wixW7duuH9999H7969ZSO3Tk5OGDBgAIYOHVqtVubw8PDA0aNHkZ+fD319/Ze2r+7fLtnb2+PatWvlnm/durWseH/nnXfg7e2twXSqZ2VlhWfPnskd8/LywuTJk5W2f/LkCerVq6eJaCQiFu5EJBMaGir7e1ZWlmzpsX+r7gXAvxUUFODkyZO4efMmcnJyMGPGDAClS89lZmbCwsICEkn1v5bf09MTFy9exMGDB3HhwgWkpqbC2NgYnp6e6NOnj2w0TxsMHToUx44dQ3FxMerXr4/PPvsM7733HhwdHcu9j5eXF4KDgzWY8vW4u7vj0KFDiImJqdTUkLLlXKsrLy8vbN26tcJVoMqK90GDBuHo0aMaTqhabm5uOH/+vNyxrl27omvXrkrbx8TEKJ1CQ9pFSEtLq77/FxMRvaYDBw7gs88+Q1JSEqRSKQRBkF3Ed+HCBbz11lv45ZdfMGTIEJGT0qswMzNDp06dMHbsWPTr1w+6ui8fp7p27RqioqIwYsQIDSR8fffv30d4eDh8fHwq/EBSJiUlBVlZWS9dXehNFRwcjHfffRdfffUVpk2bVmHbqKgoDBw4EBkZGdX2otyjR4/iyJEjWLhw4Us/VEdFRaFr166YO3cuPvvsM80EJFGwcCeiGuvs2bMICAiAlZUVpk6divPnz2Pnzp1yb/Senp5o3rw5Nm7cKGJSelV3795Fo0aNxI5BKpafnw8dHZ1KfRBLS0tDRkZGtf2gQqQMp8oQUbmys7ORmZkJY2NjGBoaih1H5b777juYmJjg1KlTsLCwUDoy17p1a4Wvq6ujJUuWvLSNRCKBsbExmjRpAl9f30rNm35TLVu2DH379lVYleNFhw4dwt69e7Fq1SoNJnuz7N+/HwcOHKg2/wav8po0NTWFqamp3LHq1t/XVdP6WxOwcCciOQUFBfjpp5+wZcsW3L9/X3bcyckJI0eOxJQpU7RmLvT58+cxYMAAWFhYlNumQYMG1eqCxfIsXrxY7tqEF+c6//u4IAgwNTXFokWLKlzf/k22ZcsWODg4VFi4x8TEYOvWrTW6qLly5UqN+jdgf6m6Y+FORDK5ubkYMGAAzp8/Dx0dHTg7O8PKygoJCQm4d+8eFi1ahMOHDyMoKAgGBgZix31tBQUFSlfNeVF6erpWXJhaNrJ88uRJDBs2DF5eXqhfvz4SEhIQERGBbdu2oWvXrhg2bBiio6Oxdu1afPLJJ7CxsUGXLl3Ejq8WeXl5lZpyQUT0pqj+70ZEpDI//vgjIiMjMWjQIFy6dAmRkZHYt28fzp07h6ioKAwePBiRkZH43//+J3ZUlXBycsLFixcrbHPu3Dk0adJEQ4nU5+7duwgLC8OpU6ewfPlyDBs2DN26dcOwYcOwfPlynDp1CqGhoUhPT8fs2bNx5MgR6OrqYuXKlWJHr7LyVj+SSqWIi4vD0aNHtWr5SyLSfizciUhm9+7d8PDwwG+//QY7Ozu5cw0aNMC6devQqlUrBAYGipRQtQICAhAREYFNmzYpPb9ixQpcv34dgwYN0nAy1VuzZg0GDx6Mpk2bKj3ftGlTDBo0CKtXrwYANGvWDL169cKFCxc0GfO1mJmZwdzcHObm5gBKpweV3X7xj4WFBTw8PHD58mW8/fbbIqcmIqo8fkdIRDIPHz7EpEmTKmzTpUsXWXFX3U2dOhV79+7F1KlTsXPnTuTn5wMA5syZg8jISERERMDNzQ0fffSRyElf3927d+Hv719hG3Nzc9y7d092u2HDhjh48KC6o6lMx44dZaPs4eHhsLOzU7qiiI6Ojmy5yPfee0/TMYmIqoyFOxHJGBgYICkpqcI2SUlJWjG/HQCMjIxw8OBBTJ8+Hbt370ZxcTGA0pF2QRAwaNAgLFu2rFqvrlKmXr16CA4Oxpw5c5ROIZFKpQgODpaNVgOly+nVrVtXkzFfy/79+2V/NzMzw8iRIzFz5kwRExERqRanyhCRTLt27RAYGIjr168rPX/jxg3s3r0b7du313Ay9TE1NcWvv/6KmzdvYseOHVi7di22bt2KGzdu4LffflNYTq66Gjx4MK5evYphw4YhJiZG7lxMTAyGDx+Oa9euyU0duXDhQrlTa950qampLNqJSOtwxJ2IZKZNm4bjx4+jW7duGDVqFHx9fWFpaYnExESEhoZi8+bNKCwsxOeffy52VJUzNzdHjx49xI6hNl988QUuXbqEI0eOIDg4GIaGhrCwsEBycjKys7MhlUrRsWNHfPHFFwCA+Ph4ODg4aMX8fiIibcHCnYhkvL29sW7dOkydOhXr1q3Db7/9JjsnlUpRt25drF69Gt7e3iKmVJ2lS5eiU6dO8PT01PplAQ0MDBAUFIRNmzbhr7/+wtWrV/Ho0SMYGxvDx8cHQ4YMwahRo2RLX1pZWWHz5s0ip668yZMnQxAEzJkzB/Xr18fkyZMrdT9BEKr1yjlEVLMIaWlp0pc3I6KaJDMzEwcOHEB0dLRs51R3d3f06dPnpeueVydmZmYQBAEGBgZo164d/Pz84Ofnh7Zt20JHR0fsePQKyn6W586dQ+PGjWFmZlap+wmCoHTH3JoiNDQUoaGhmDVrlthRNIL9peqOhTsR1VihoaEICQnB6dOncfHiRRQUFEAQBBgaGqJ9+/ayQr5169ZasQmTNnv48CEAwNbWFrq6urLblaFs5RkiojcRC3ciIpTuonn27FmEhIQgLCwMFy9eRFFREYDS1WdepRB80xUXFyM5OVm2/OW/2dvbazgRvS4PD4+XtpFIJDA2NkaTJk3Qr1+/an39AvurSJv6S+Vj4U5Ug23duhUA0K9fPxgbG8tuV8bw4cPVFUt0sbGxOHjwIFatWoWkpCStmU4RFRWF+fPnIzw8HAUFBUrbCIKA5ORkDSfTrPz8fEgkEujp6YkdRWXc3NxQXFyMp0+fAgB0dXVlFx+XfQC1sbFBZmYmsrKyIAgCOnfujO3bt6NWrVpiRq8S9le7+0vlY+FOVIMpmxdc3jbxZaRSqdYUsmXu3r2L06dPIyQkBKGhoUhMTIRUKkWjRo1k02Wq+w6b0dHR8Pf3h66uLnx9fXHo0CG4urrCysoKly9fRlJSEnx9fWFvb4+ff/5Z7LivLSwsDCdPnsTkyZNlS3qmpKTgo48+wsmTJ6Gnp4cJEybg66+/FjWnqqSlpWHQoEGoW7cuZs+eDU9PTwiCAKlUivPnz2PRokXIyMhAYGAgUlJS8MUXXyA4OBizZ8/GtGnTxI7/ythf7e4vlY+FO1ENtnnzZgiCgICAABgbG2PLli2Vvu+IESPUmEwzJkyYgNDQUDx9+hRSqRT29vayQr1Tp06wtbUVO6LKjB49GkePHsXJkyfh4uICMzMzzJo1CzNnzkRubi5mz56NoKAgHDt2DI6OjmLHfW3Dhg1DbGwsLl26JDs2ceJEbNu2DY0aNUJ2djYSEhLw22+/acWUgs8++wznzp1DaGio0usxiouL4efnBy8vLyxfvhx5eXnw8vKCkZERwsLCREj8ethfedrWXyqfdq9/RkQVGjlypNxtbSjGX8Vff/0l+0r5yy+/RLt27cSOpDZnz55F79694eLiIjsmlZaO2xgYGOC7775DREQEFixYgHXr1okVU2WuXLmCTp06yW7n5eXh77//Rrdu3bBr1y5kZmbCx8dHawr3AwcOYMSIEeVeRK2jo4OePXti69atWL58OWrXro1OnTph165dGk6qGuyvPG3rL5WPyyQQkUxYWBji4uIqbPPo0SOtGcHp3bs3TExMcPLkSfj7+6NDhw6YOXMm9u3bh7S0NLHjqVRGRgacnJxkt/X09JCdnS27LZFI4Ovri1OnTomQTvVSUlLkvjE5d+4c8vLyZB9WjY2N4e/vj9u3b4sVUaUyMzORmZlZYZuMjAxkZGTIbltYWKg7ltqwv4q0qb9UPhbuRCQTEBDw0uky27ZtQ0BAgIYSqdeWLVtw9+5dnDx5EvPmzYODgwO2bt2K0aNHw9nZGZ07d8bs2bNx5MgRsaO+NktLS7kPI/Xr18edO3fk2uTn5yM3N1fDydSjdu3acoVOSEgIBEGAj4+P7JiRkZHWfEBzcXHBzp07cf/+faXn79+/j127dsl94/Lo0aNqW9yxv/K0rb9UPk6VISKZsqkTFSkpKXnpBazViSAI8PDwgIeHB6ZMmYKSkhJcvnwZR48exdq1a/Hzzz9j9erV1X6lFRcXF9y6dUt229vbG/v378e5c+fQvn17xMbGYvfu3WjSpImIKVWnUaNGOHbsGPLz8yEIAgIDA9GsWTNYWVnJ2jx69Aj16tUTMaXqTJs2De+99x78/PwwevRoeHl5wdLSEomJiYiIiMCmTZuQlZUlu1CxoKAAx48fR7du3UROXjXsr3b3l8rHi1OJSObFCxbLM2HCBBw5cgT37t3TYDL1KykpwcWLFxESEoKQkBBEREQgJycHQOm0koSEBJETvp5ffvkFX375Ja5evQpra2tcuXIFb731FgoKCmBmZoa0tDSUlJRgw4YNWvGNyoYNG/Dpp5/C1tYWenp6ePjwIebPn49PPvlE1qZdu3ZwdHTEzp07RUyqOhs3bsSXX34pWw6wjFQqhZGRERYtWoQxY8YAKF2lJCwsDM2bN0ejRo3Eivxa2N9S2tpfUo6FO1ENN3nyZNnft2zZAjc3N7i5uSm0Ky4uxuPHjxEeHo4ePXpg+/btmoypFlFRUbIlIM+cOYOsrCxIpVLo6uqiVatWshVmvL29YWBgIHbc11JYWIjU1FSYmprK1nWOiIjAsmXLcP/+fdjb2+Ojjz6Cv7+/yElVQyqV4uuvv8bGjRsBAG+//TaWLFkiu7jv3Llz8Pf3x/z58zFlyhQxo6pUeno6Dhw4gJiYGGRmZsLY2Biurq7o06cPTExMxI6ncuyvdveXFLFwJ6rhzMzMZH8vWxe4PIIgoE2bNli7dq1WjOKU9V0ikcDd3V1WqHfo0AFGRkYipyN1KigoQG5uLgwNDaGry1mjRFQ98LcVUQ13+fJlAKUjlK1atcLEiRPx8ccfK7TT0dGBqakpDA0NNR1RbSZOnAg/Pz907NhR60erlixZAl9fX7mLM/8tPDwcISEhFU6V0ha1atXijpJEVO1wxJ2IZLZs2QJ3d3e4urqKHYVUrDLXL3z//ff45ptvtGpX3KKiIty6dQvp6ekoLi5W2qaiDzPVSUFBAfbv34+LFy+W219BELBy5UoR0qke+6vd/SXlOOJORDL/3oCpqKgIWVlZMDIy0vrpBE+ePMGVK1dk80bd3Ny0aufUyigoKICOjo7YMVRCKpVi0aJFWLt2LbKysipsqw0fVB4+fIhBgwbh3r17L53upg2FHfurnLb0l8qn3e/ERPTKiouLsWbNGmzZsgU3btyAVCqFIAho1qwZRo4ciY8++kirivi7d+9i2rRpOH36tMK5zp07Y9myZVoxnx9Ahct4FhQU4MyZM7C0tNRgIvVZunQpli1bBhMTEwwbNgy2trZa9br9ty+//BJ3797F0KFDMWrUKDRo0EBrPoQpw/5qd3+pfJwqQ0QyWVlZePvttxEZGQmJRIIGDRqgfv36SEhIwOPHj1FSUoL27dtj165dWjHX/dGjR+jWrRsSExPRtGlTdOzYEVZWVkhISEB4eDhiY2NRv359HDt2DHZ2dmLHfWUeHh6yvz98+BAmJiZK5/IXFxcjJSUFeXl5eO+997B8+XJNxlQLNzc3CIKAkydPwtzcXOw4aufg4IA2bdrg77//FjuKRrC/VFNp7/ADEb2yb775BufOncOQIUPw1Vdfwd7eXnYuLi4O8+fPx86dO/HNN99g0aJFIiZVjSVLliAxMRHLli3D2LFjFUakf//9d0ybNg1Lly7FTz/9JFLKqntxs6yyFYOUfc2up6eHZs2aoVOnTpg+fbqmY6pFQkICxo0bVyOKdqB0apC7u7vYMTSG/aWaiiPuRCTTokULWFtb4/jx4+W26dq1K+Lj43Ht2jUNJlOPli1bwt3dHVu3bi23zfDhw3H58uVq39/KXJyqTdq3b4/27dvXmPm+AwcOhL6+vlbsr1AZ7C/VVBKxAxDRmyMlJQVdunSpsE2XLl2QmpqqmUBqlpiYiBYtWlTYpkWLFkhKStJQIvW5fPmy0mU+tdW4ceNw+PBhJCYmih1FI77++muEhIQgKChI7Cgawf5STcWpMkQk06hRo5cWOklJSWjYsKGGEqlXvXr1cOPGjQrb3LhxA/Xq1dNQIvVxcHAQO4JG9enTB2fOnEHPnj0xY8YMeHh4wNjYWGnbF6eEVVeHDx+Gn58fxo4dCx8fn3L7KwgCZsyYIUJC1WJ/tbu/VD5OlSEimQ0bNuDLL79EcHAwmjdvrnD+6tWr6NmzJxYvXozRo0eLkFC1PvnkE2zZsgU//vgjxowZo3B+48aN+OyzzzBixAisWLFChIRVt2TJkirdT1ve+M3MzGTz+itaTUcQBCQnJ2swmXq8uANyRQRB0IrlL9lf5bSlv1Q+Fu5EJBMWFoaVK1fixIkTGD58OLy9vWWrypw5cwbbtm1Dt27dMHnyZIX7VsdNbOLi4tC1a1ekpKSgWbNm8PHxgaWlJRITExEWFoYbN27AwsICJ06cqHarylT2jf7ftOWNf+LEiRUW7C/6+eef1ZxG/UJDQyvd1tfXV41JNIP9LZ829JfKx8KdiGReHKUE5Nf9VnbsRdW12Ltz5w4+++wzpW+Mfn5++OGHH9C4cWMRkr2eV3mj/ze+8RMRvZlYuBORzLffflvpUcp/mzVrlorTaNajR48Udk6tbqPsRESk3Vi4ExGR1oqPj8fevXtx8+ZN5OTkyJaHTEpKwoMHD9CiRQsYGBiInPLVxcXFAQBsbW2ho6Mju10Z1fFiXPZXu/tLlcfCnYgIpcslRkdHIyMjA3Xr1oW7u7vczqPa4sGDB9ixY4fCtwtDhgyBo6Oj2PFUat26dZg9ezby8/MByM/fv379Onx8fLB8+XK89957YsaskrJpbefOnUPjxo1lt1+mul6My/5qd3+p8rgcJBEpVVJSgoSEBBQWFio9ry2jOhcvXsTUqVNlGyy9uApJixYtsGLFCrRu3VrMiCqzevVqzJ07F0VFRXI7qO7ZswdLly7FvHnzMHHiRBETqs7Bgwcxffp0tG7dGjNmzMDRo0exfv162fnmzZujZcuW2L9/f7Us3IcNGwZBEFC3bl2529qK/dXu/lLlccSdiORs374dK1asQGxsLIqLi5W20ZZRnaioKPTt2xc5OTno3LkzOnToIFtFJzw8HKdPn4ahoSEOHDhQ7bcbP3ToEIYPHw4LCwtMmjQJfn5+sLKyQkJCAkJCQrBq1SqkpKRg69at8Pf3Fzvua+vduzcePXqEs2fPwtDQEIsXL8bSpUvlLqKeMGECzpw5g+joaBGTEhFVHkfciUhmxYoVmDt3LvT09NCxY0dYWVlBV1d7f03Mnz8fhYWFCAwMRNeuXRXOHzt2DMOGDcO8efOwa9cuERKqzqpVq2BmZoZTp06hQYMGsuMODg7w9PTEkCFD0KlTJ6xatUorCveYmBgMHToUhoaG5baxtbXVmp1Vt27divr166N79+5iR9EI9pdqKu19RyaiV/bLL7/A1tYWhw8flivutNW5c+cwcOBApUU7AHTv3h0DBgzA4cOHNZxM9S5fvox333233J+rnZ0dBg0ahB07dmg4mXqUlJS89ENnYmIiatWqpaFE6jVlyhR8+OGHNaawY3+pppKIHYCI3hzJyckICAioEUU7AOjo6Lx0rr6joyMkkur/q7KwsBB16tSpsI2hoWG51zRUN40bN8aZM2fKPV9UVITw8HC0aNFCg6nUx9raGkVFRWLH0Bj2l2qq6v9uREQq4+zsjLS0NLFjaIyXlxfOnz9fYZvIyEh4e3trKJH6ODs749ChQ+W++RcVFeHw4cNwdnbWcDL1GDJkCKKjo7F48WKFc8XFxZg9ezbu37+P4cOHi5BO9Xr37o2TJ0/KVtDRduwv1VQs3IlIZtKkSThw4AAePnwodhSNmD9/PqKiorBw4ULk5OTIncvJycH8+fMRHR2N+fPni5RQdYYNG4Zbt25h8ODBiIqKkjt36dIlvPPOO7h165bWFLITJkyAj48Pli5dirZt22LPnj0AgPfffx9t2rTBL7/8gq5du2L06NEiJ1WN2bNno06dOhg9ejSuX78udhy1Y3+ppuKqMkQk56effsLq1asxfvx4uLq6wtjYWGk7Hx8fDSdTvcmTJ+PevXs4e/YsTExM4O7uLltVJjo6Gunp6ejQoQOcnJzk7icIgmwjnzdZfn4+9PX1AZSOMo8ePRoHDx6EIAioU6cO6tWrh6SkJOTk5EAqlaJPnz7YuHGjVkwNAoCCggIsWbIE69evl/smydjYGOPHj8cXX3yhNXPcPTw8UFBQgPj4eABA7dq1Ua9ePYUlBAVBUPjgVh2xv9rdXyofC3cikrNw4UKsXr0aubm5FbZ7cVm96srMzKxK93txI583mZOTE4YMGYKRI0eiVatWAEpXp9i6davcBkzu7u4YPnw4hg0bJm5gNZFKpbh16xZSU1NhbGwMFxcX6OjoiB1Lpdzc3Cq9zrc2LH/J/pZPG/pL5WPhTkQyixYtwrJly1CvXj34+/tXuBzkrFmzNJxO9V5nSpCDg4MKk6iHjY0N8vLyIAgCXF1dMXr0aAwZMgSmpqZiR1O7uLg4mJiYyDawUSYzMxNpaWlas5kYEWk/Fu5EJNOiRQsYGRnh+PHjMDIyEjvOGysuLg4PHz5846cLZWZmYufOndi0aRMuXrwIQRCgr6+Pvn37YvTo0ejcubPYEdXG3Nwcs2bNwowZM8pt8/333+Obb76pFt+eEBEBvDiViF6QlpaGnj17smh/ic2bNyMgIEDsGC9lbGyMsWPH4tixYzhz5gwmTZqEunXrYteuXRg0aBDc3d2xdOlSPHr0SOyoKieVSiGVVjwu9bLz1dWNGzewZ88ebNu2TewoGsH+Uk3Cwp2IZFq0aCG7+Im0S7NmzbBw4UJcu3YNGzduRM+ePfH06VN8++238PDwwDvvvIOgoCCtWce9Mp48eaJVH1IvXrwIX19fdOzYEe+//z4mTZokOxcWFgYbGxscOHBAxISqxf5qd39JOe6cSkQy//nPfzB+/HhERUXJLmYk7aKjo4N+/fqhX79+SEhIwLZt27B582YcO3YMx48fh7m5OW7fvi12zCpZsmSJ3O3Q0FCl7YqLi/H48WMEBgbC09NTE9HU7vr16+jfvz8kEgkmTZqEW7duITg4WHa+Y8eOsLCwwN9//40+ffqImFQ12F/t7i+Vj4U7EcmkpaWhS5cu8Pf3x9ChQytcDlJb1vuuyerXr4+pU6eie/fu+O9//4uzZ89W6/neL262JAgCQkNDyy3egdKLd+fNm6eJaGr37bffAgBOnjyJRo0aYfHixXKFnSAIaNeuHS5duiRWRJVif7W7v1Q+Fu5EJDNp0iQIggCpVIqNGzcCgMISZFKpFIIgsHCv5souXN24cSOioqIglUphaGiIgQMHih2tyvbu3Qug9DXav39/jBgxQunrVEdHB2ZmZmjatKnWrFkfFhaGgIAANGrUqNw2dnZ2OHbsmAZTqQ/7q0ib+kvlY+FORDKrVq0SOwKp2enTp7Fp0ybs378fubm5kEqlaNeuHUaNGoXBgwdX6znfvr6+sr/PnDkTfn5+b/zKP6qSlZUFS0vLCtvk5eWhuLhYQ4nUi/1VpE39pfKxcCcimREjRogdgdTg8ePH2Lx5M7Zs2YKHDx9CKpWiXr16GDt2LEaPHg0XFxexI6qcNuwz8CoaNGiAa9euVdjm8uXLCrsAV1fsryJt6i+Vj4U7EZGWCgwMxKZNm3D69GkUFxdDIpGge/fuGDVqFPr27Vvu5lraJD4+HlFRUUhPTy93NFIbpn35+/vjl19+wcmTJ9GlSxeF87t370ZkZCSmT5+u+XBqwP7K07b+Uvm4ARMRycTFxVW6bU3ebXLx4sVYunTpG38hp5mZGQDA0dERI0eOxIgRI9CgQQORU2lGXl4epk6disDAQJSUlChtU3a9xpv+c6yMpKQkdO7cGQkJCRg+fDji4+MRHByMpUuX4ty5c9i1axfs7Oxw+vRpmJiYiB33tbG/2t1fKh8LdyKSMTMzU7gYVRlBEJCcnKyBRG+mn3/+GWvWrEF0dLTYUSr04YcfYtSoUVq9Q2p5Zs2ahV9++QWNGzfG22+/DVtb23K/YdCWKWL379/HhAkTcO7cOYVznp6eWLduHRwdHUVIph7s73Pa2F9SjoU7EclMnDhRaeGekZGBmJgYPHjwAD4+PnBwcMDPP/8sQkL1ycrKwu3bt5GTk4OOHTuKHYdeU7NmzWBmZoaTJ09CX19f7DgaFR0djfPnzyM1NRXGxsbw9PREmzZtxI6lNuyvdveX5LFwJ6JKkUqlWLlyJf73v//h6NGjWnMR1IMHDzBr1iwEBwejpKRE7tuEs2fP4tNPP8X3338PPz8/kZPSq7CxscH48eOxcOFCsaMQEamMdixgS0RqJwgCpkyZgmbNmuGrr74SO45KxMXF4a233kJwcDD69OmD9u3bQyp9Ppbh6emJ5ORk7Nq1S8SUVBWNGzdGQkKC2DE0xsPDA2vWrKmwza+//goPDw8NJVIv9leRNvWXysfCnYheSevWrXH69GmxY6jEt99+i7S0NOzfvx8bNmxQWK1BV1cXHTp0QEREhDgBqcqmTp2KgwcP4u7du2JH0YiHDx8iPT29wjbp6emvdAH6m4z9VaRN/aXyaf9aYESkUvfu3dOaTT6OHz+Ofv36wcvLq9w29vb2WvNBpSaxtbVFt27d0K1bN0ycOBEeHh4wNjZW2rambNKUkZFRo+b7s7+kjVi4E9FLlZSU4MmTJ9iyZQsOHDigNauUpKamwsHBocI2UqkUBQUFGkpEqtKvXz8IggCpVIrFixdXuFpSdV0OMiwsTO72w4cPFY4BQHFxMR4/fowdO3bA2dlZU/FUjv3V7v5S5bBwJyKZly0HKZVKYWpqqjUX/FlaWuLOnTsVtrl27Rrs7Ow0lIhUZcaMGZVa2rQ6K/twApReg7J161Zs3bpVaduyNevnzp2ryYgqxf5qd3+pcli4E5FMx44dlRY7EokEpqamaNOmDUaOHAlLS0sR0qle165dsX37dsTExMDV1VXhfHh4OE6fPo2JEyeKkI5exxdffCF2BLUr+3AilUqxdOlS+Pj4wNfXV6Gdjo4OzMzM4OfnBxcXFxGSqgb7q939pcrhcpBEVGM9ePBAtszj1KlTcfPmTezcuRPbt29HREQEfv75Z9SpUwehoaGwtrYWOS1R+fr164eRI0di+PDhYkfRCPaXaioW7kRUo50/fx7jxo1DXFycbHSr7L92dnbYsGEDWrduLXZMIiIiFu5E9FxmZiaSk5PRoEED6OnpyY4HBgbi4MGD0NfXxwcffIBWrVqJF1INioqKcPDgQVy4cEFuN8I+ffqgVq1aYsejSvDw8IAgCPj777/h5ORU6fWsBUFAVFSUesNp0OXLl7Fr1y7cvHkTubm5CAoKAlB6YeOFCxfQpUsXmJmZiZxSddhf7e4vKeIcdyKSmTt3Lv766y/cvHlTVrj/9ttvmD59umxjosDAQJw8eRJNmzYVM6pK6erqIiAgAAEBAWJHoSoq2/W2vNvleXHDrepuzpw5WLlypaxPL/ZfKpXigw8+wMKFC7Xmmg32V7v7S8pxAyYikgkLC0Pnzp1Rp04d2bHly5fD1tYWBw4cwB9//AGpVIqffvpJxJSqs3DhwpeuKkPVw5UrVxAdHQ0nJye525X5ow02bdqEFStWwN/fH2FhYZg2bZrceUdHR7Rt2xYHDx4UKaFqsb/a3V8qHwt3IpJ59uwZHB0dZbdjY2Px+PFjTJgwAR06dMCAAQPQu3dvhIeHi5hSdZYtW4Z27dqhR48eWLt2LZKTk8WORCKLiYkpd8m9N9lvv/0GFxcXbNy4ES1atJCb6lamSZMmWrOTLPur3f2l8rFwJyKZgoICuTndYWFhEAQBXbt2lR1zcnLC06dPxYincn/++Sd69+6NK1euYObMmWjevDmGDRuGv//+G/n5+WLHIxHs27cPkydPFjvGK4uNjUWXLl2gq1v+DNj69esjMTFRg6nUh/1VpE39pfJxjjsRydja2uLq1auy24cPH4aZmZncGucpKSkwNDQUI57K9e/fH/3790daWhp27dqFv/76C4cPH8aRI0dgZGSEAQMG4N1335UtGUn0ptLV1UVhYWGFbZ4+fao1/++yv4q0qb9UPo64E5FMjx49cPz4ccyePRsLFy7E0aNH0atXL7k2t2/f1rqdRE1NTTF+/HgcPnwYly5dwowZM2BpaYlNmzZhwIABcHNzEzsiUYVatGiB06dPo7i4WOn5nJwcnDp1SmtWhGJ/5Wlbf6l8LNyJSGbatGmws7PDqlWrsGzZMtSvXx9ffvml7HxiYiIiIiLQsWNHEVOql5OTE2bNmoXz589j7ty50NXVxePHj8WORVShkSNH4vbt2/j8888VpnllZGRg0qRJiI+Px3vvvSdSQtVif5/Txv5S+biOOxHJyc3NxalTpwAAHTt2RN26dWXnbty4gRMnTqB79+5atRzki27evInt27djx44dePToEaRSKRo3bozIyEixo5EGLF68GEuXLkVKSorYUV7ZBx98gF27dsHIyAgmJiZ48uQJWrVqhZs3byI7OxsjRozAqlWrxI6pMuyvdveXlGPhTkQ1XkJCAnbu3Int27fjypUrkEqlMDc3x+DBgzF06FB4enqKHZE0pDoX7kDpBddr167F9evXZet9u7i4YMKECRg7dqzI6VSP/dXu/pIiFu5EVGNt374df/31F06fPo2ioiLo6+vD398fQ4cORc+ePStcwYG0U3Uv3Mvk5uYiLS0NxsbGMDIyEjuO2rG/VFPwXYmI5Ny4cQO//vorLl68iPT0dKUXQ2nLNvEff/wxBEGAl5cXhg0bhoEDB8LExETsWESvzcDAAAYGBmLH0Bj2l2oKFu5EJBMaGop33nkH+fn50NXVRf369aGjo6PQTlu2if/yyy/x7rvvym06RVTdlZSUICEhodzlA+3t7TWcSL3YX3na1l+Sx8KdiGTmzZuHoqIi/PTTTxgxYoTSol2bTJ8+XewI9IZxcHCotqsmbd++HStWrEBsbGy5ywYKgqA1OwSzv4q0qb+kHAt3IpKJiYnB4MGDMXr0aLGjEIlixIgRGDFihNgxXtmKFSswd+5c6OnpoWPHjrCystLqazTYX+3uL5WPF6cSkYyzszOGDRuGRYsWiR1FLTw8PCAIAv7++284OTnBw8OjUvfTljn92mzJkiVVup8gCJgxY4aK02he2e7Ghw8fRoMGDUROo37sL9VU/LhGRDJvvfUWzpw5I3YMtSkpKYEgCOXeLo+2zOnXZosXL67S/bSlcE9OTsb7779fY4o69pdqKhbuRCSzYMEC9OrVCzNmzMDXX3+NOnXqiB1Jpa5cuVLhbaq+9u7dK3YEUTk7OyMtLU3sGBrD/lJNxakyRCQTEBCA9PR0xMTEwNDQEM7OzjA2NlZoJwgC9uzZI0JCIlJmy5Yt+OKLLxASEgIHBwex46gd+0s1FUfciUgmNDRU9vesrCxcvnxZabvKTC+pDgICAjBixAgMHz683Dbbt2/Hpk2bavyILr3ZRowYgaSkJPj7+2P8+PFwdXVV+qEbAHx8fDScTvXYX+3uL5WPhTsRyaSmpoodQaNCQ0Ph6+tbYZu4uDiEhYVpKBGpQ3FxMZKTk5Gfn6/0vLase52RkYGMjAx88803Fbar7rvClmF/ldOW/pJyLNyJiCqQk5MDPT09sWNQFURFRWH+/PkIDw9HQUGB0jbasu71okWL8MMPP6BevXoYPHiw1i8XyP5qd3+pfPypE1G5srOzkZmZCWNjYxgaGoodRyXi4uLkbqenpyscA0pHaR8/fow9e/ZwTmk1FB0djd69e0NXVxddu3bFoUOH4OrqCisrK1y+fBlJSUnw9fXVmtH2zZs3o3Hjxjh+/DiMjIzEjqN27C/VVCzciUhOQUEBfvrpJ2zZsgX379+XHXdycsLIkSMxZcoU1KpVS7yAr8nd3V02R18QBKxZswZr1qwpt71UKsX8+fM1FY9U5LvvvgMAHD16FC4uLjAzM0O/fv0wc+ZM5ObmYvbs2QgKCsLKlStFTqoaaWlpGDx4cI0p6thfqqlYuBORTG5uLgYMGIDz589DR0cHzs7OsLKyQkJCAu7du4dFixbh8OHDCAoKgoGBgdhxq2TYsGEQBAFSqRTbtm2Dq6sr3NzcFNrp6OjAzMwMnTp1Qo8ePURISq/j7Nmz6N27N1xcXGTHytbjNzAwwHfffYeIiAgsWLAA69atEyumyrRo0QLx8fFix9AY9pdqKhbuRCTz448/IjIyEoMHD8a8efNgZ2cnO/f48WPMnTsXu3btwv/+9z/MmjVLxKRVt3r1atnfw8LCMHLkSHz88cciJiJ1yMjIgJOTk+y2np4esrOzZbclEgl8fX2xa9cuEdKp3n/+8x+MHz8eUVFRaNWqldhx1I79pZqKhTsRyezevRseHh747bffFM41aNAA69atw507dxAYGFhtC/cXRUdHix2B1MTS0lJuw5r69evjzp07cm3y8/ORm5ur4WTqkZaWhi5dusDf3x9Dhw6tcLnAipY/rS7YX+3uL5WPGzARkYy1tTUmTZqEOXPmlNtm3rx5WL16NZ49e6bBZOpx48YNnDx5Eu+88w7q1auncD4xMRG7du1C165d5aZc0Jvv7bffRkFBgWz9/Q8++AD79+9HUFAQ2rdvj9jYWPj7+6Nhw4Y4ceKEyGlfn5mZmWwKWJl/77cglUohCIJWLBfI/mp3f6l8HHEnIhkDAwMkJSVV2CYpKanazm//t+XLl+P06dP46KOPlJ43NzfHihUrEB0djZ9//lnD6eh19OzZE19++SWePXsGa2trfPrpp9i3bx969eoFMzMzpKWloaSkBNOmTRM7qkqsWrVK7Agaxf5STcURdyKSeffddxEeHo7g4GA0b95c4fyNGzfQo0cP+Pj4YPv27SIkVC13d3d06NABv/zyS7ltJk6ciDNnziAqKkpzwei1FRYWIjU1FaamprJVkCIiIrBs2TLcv38f9vb2+Oijj+Dv7y9yUiKiypOIHYCI3hzTpk1DXl4eunXrhunTpyMoKAjh4eEICgrC9OnT0a1bN+Tn5+Pzzz8XO6pKJCQkyF2Aq4ytrS1Xc6iG9PT0UL9+fbmlS728vPDXX3/h3Llz2LVrF4t2AIsXL4aFhYXYMTSG/aXqjlNliEjG29sb69atw9SpU7Fu3Tq5i1SlUinq1q2L1atXw9vbW8SUqlOnTh0kJiZW2CYxMRH6+voaSkSkeS/Om64J2F+qzli4E5GcgQMHonv37jhw4ACio6NlO6e6u7ujT58+5a5kUB15eHhg//79mD9/PkxNTRXOp6WlYd++ffDw8NB8OFKJvXv3YsuWLbhy5QoyMjJQt25duLm5YeTIkejXr5/Y8YiIXgkLdyJSYGxsjKFDh2Lo0KFiR1GrDz74AKNGjUJAQAAWL14MHx8f2bnQ0FDMmjULaWlp+PDDD0VMSVVRVFSEDz74AHv27IFUKoWuri7Mzc0RHx+Px48f4/Dhw+jfvz/WrVsHXV2+FRJR9cA57kQkU1xcjIyMDJSUlFR4vri4WMPJ1KNv376YNGkSYmJiEBAQABsbG3h4eMDGxgb9+/fH1atXMWXKFI7MVkM//PADgoKC0KFDBxw8eBDx8fGIjY1FfHw8Dhw4AG9vb+zZswfLly8XOyoRUaWxcCcimcWLF6NJkyblrgOcmpqKpk2b4vvvv9dwMvVZtGgRtm7diu7du6NOnTp48uQJDA0N8dZbb+Gvv/7CvHnzxI5IVbB582Y0bdoUQUFB8Pb2hkRS+nYnkUjQoUMHBAUFoXHjxti0aZPISYmIKo/fDxKRzOHDh9G5c2elmxEBQL169dC5c2ccOHAAM2fO1HA69enVqxd69eoldgxSofj4eEyYMKHcaTB6enro1asX1q5dq+FkRERVxxF3IpK5f/8+mjRpUmGbJk2a4MGDBxpKRFQ1DRo0QHZ2doVtcnJyXrocKBHRm4SFOxHJFBUVyaYUlEcQBOTn52sokeYUFxcjISEBcXFxSv9Q9TJmzBjs3r0bz549U3r+yZMnCAwMxJgxYzScjIio6jhVhohkGjZsiNOnT1fY5vTp03B0dNRQIvWLiorC/PnzER4ejoKCAqVtBEFAcnKyhpPRq/j3h6uBAwfi7Nmz6NSpEyZOnAhvb2/Ur18fCQkJOHPmDNasWQNvb28MGDBApMRvBqlUWqPW+WZ/qboT0tLS+BMlIgClF6cuXboU//nPfzBr1izo6OjIzhUXF+Pbb7/FDz/8gOnTp+OLL74QMalqREdHw9/fH7q6uvD19cWhQ4fg6uoKKysrXL58GUlJSfD19YW9vT1+/vlnseNSBczMzCAIgsJxqVRa7nGg9GLVmvyhLD09Henp6XBwcBA7ikawv1TdsXAnIpmsrCx069YNt2/fRsOGDeHn5wcbGxs8ffoUISEhuHfvHlxcXBAcHAwjIyOx47620aNH4+jRozh58iRcXFxgZmaGWbNmYebMmcjNzcXs2bMRFBSEY8eOadW3DNpo4sSJSgv0ytCmD2XKNpxyd3fHiBEjtHJZU/ZXu/tLili4E5GcpKQkTJs2Dfv27ZP7ilUikaB///5YtmwZzM3NRUyoOk2aNIGfnx/Wr18PoHTUdubMmZg1axYAoKSkBJ06dUKzZs2wbt06MaMSVai8DadSUlJQVFQEQRC0asMp9le7+0vl48WpRCSnXr162LBhA27cuIFt27Zh7dq12L59O27cuIHff/9da4p2AMjIyICTk5Pstp6entxKJBKJBL6+vjh16pQI6Ygqr6ZtOMX+and/qXwccSei17Z//34cOHAAq1atEjvKK3F1dUXPnj3xww8/yG67u7tjy5Ytsjaff/45duzYgUePHokVk17T2bNnceXKFWRmZsLY2Bhubm7w9vYWO5ZKeXh4oHbt2ggLC1M64lpYWAgfHx/k5+fj8uXLIiRULfZXnrb1l8rHEXciem1XrlzB1q1bxY7xylxcXHDr1i3ZbW9vb5w4cQLnzp0DAMTGxmL37t0vXdue3kwRERHw9PREnz59MHPmTCxYsAAzZ85Enz590K5dO9nPWRvEx8ejV69eL91wKj4+XsPJ1IP9ladt/aXycSIUEdVYPXv2xJdffolnz57B2toan376Kfbt24devXrBzMwMaWlpKCkpwbRp08SOSq/o+vXrGDx4MHJyctC1a1f4+fnBysoKCQkJCAkJwfHjx/H2228jODgYzZo1Ezvua6tpG06xv4q0qb9UPo64E1GNNW7cOFy/fl02b9/NzQ1BQUHo0aMHLCws0KVLF2zbtg0BAQEiJ6VXtXTpUhQUFGDHjh0IDAzE559/jhEjRuCzzz7Drl27sGPHDuTl5WHp0qViR1WJmrbhFPsrT9v6S+XjiDsR1Vh6enqoX7++3DEvLy/89ddfIiUiVQkNDcWAAQPQo0cPped79OiBAQMGVNsLj2vahlPsr3b3lyqPF6cS0Wsr27gpJSVF7ChEAAArKyt88skn+Oqrr8pts2DBAqxcubJazguuaRtOsb+ltLW/VHkccSeiGq2oqAi//PILdu3ahVu3biEnJ0f2xhcdHY0///wTEydOROPGjUVOSq/C2toakZGRFbY5f/48rK2tNZRItYYNG1blDaeqI/aXqBQLdyKqsXJzczF48GBERETAwsICxsbGcheAOTo6YvPmzTAzM8Ps2bNFTEqvqnfv3li7di0WLlyI//73v6hdu7bsXF5eHn744QeEhIRgwoQJIqasutWrV4sdQaPYX6JSvDiViGqsZcuW4ezZs5g7dy5u3ryJ0aNHy503MTGBj48Pjh07JlJCqqoZM2bA0dERP/zwA1xdXTF06FB88sknGDp0KNzc3PDdd9/B0dERM2bMEDsqEVGlsXAnohpr9+7d8PPzw6effgpBEJR+Ne3k5MTNl6ohc3NzHD16FMOHD0d2djaOHDmCzZs348iRI8jKysLIkSNx9OhRmJmZiR2ViKjSOFWGiF6br6+v2BGq5NGjR+jXr1+FbYyMjJCRkaGhRKRKFhYWWLVqFX788UfcvHlTtnNq06ZNoaenJ3Y8lfLw8KhUO0EQEBUVpd4wGsD+Kqct/aXysXAnotfm6+tbLYt3IyMjJCYmVtjm3r17qFevnoYSkTro6emhZcuWYsdQq5KSEqXfGGVkZCA9PR1A6QW72vKBhf0tpa39pfKxcCeqwaq6sZAgCNizZ4+K02iep6cnDh06hLS0NJiamiqcf/ToEYKDg186Kk8ktitXrpR77sGDB/i///s/JCYmYvfu3RpMpT7s73Pa2F8qH9dxJ6rBqjq/VxAErVizPSwsDAEBAXBzc8OSJUtw9OhR/PDDD3j06BEiIyMxY8YM3L17F8HBwWjVqpXYcakCNf1D6MsUFhbC19cX3bp1w7fffit2HLVjf0lbsXAnohrtt99+w6xZs1BcXKxwTkdHB8uWLeM24tVATf8QWhkzZ87Enj17cP36dbGjaAT7S9qIU2WIqEYbP348fH19sX79ely4cAGpqakwNjaGp6cnxo8fj+bNm4sdkSohNTVV7AhvvNzc3Br178T+kjZi4U5ENVZYWBiMjY3h7u6OJUuWiB2HSG3Cw8Oxa9euGrMDMPtL2oqFOxEpyMvLw8WLF/Hs2TPk5+crbTN8+HANp1K9gIAAjB07FsuWLRM7CqnIs2fPkJeXBwcHB0gkpVuVhIaGIiwsTKGtm5sb+vTpo+mIalHeHP+ioiI8ffoUDx8+BACt2XCK/S2lrf2l8rFwJyI5v/76KxYtWlTu2uVSqRSCIGhF4W5paQl9fX2xY5CKJCcno127dmjXrh0CAwNlx0NDQ5V+o2JsbIxLly7BwsJCkzHVIjQ0VOlxQRBgamqKbt26YfLkyejatauGk6kH+1tKW/tL5WPhTkQye/bswYwZM9CiRQtMnz4ds2fPRt++feHp6Ynw8HAEBwejf//+8Pf3FzuqSnTp0gWhoaGyDyNUvW3duhXZ2dn4+uuvFc4JgoB169bJbqelpeE///kPtm3bhsmTJ2swpXrUtLnN7C/VVFxVhohkevfujTt37iAqKgp16tSBmZkZZs2ahZkzZwIAduzYgYkTJ2L37t3w8/MTOe3re/r0Kd566y1069YN8+bNq/LKJPRmGDRoEOLj4xEeHi53fPHixVi6dKnC6jE9evSAkZER/v77bw2m1JyioiJcvXoVANCiRQut35yH/dXu/lIpidgBiOjNcfXqVfTu3Rt16tSRHXtxmcQhQ4agU6dOWLp0qRjxVO6jjz6CiYkJNm3ahObNm8PLywv9+vVDQECA3J/+/fuLHZUq4dq1a2jfvn2l27ds2RI3btxQYyL1un//PjZu3Ijbt28rnDt48CCaN2+Orl27omvXrnBxcan2m/Owv89pY3+pcjhVhohkioqKUK9ePdltAwMD2XbaZVxdXfHHH39oOJl6vDhvND8/Hzdv3sTNmzcV2nEaTfWQmpoq9/ot4+vrq7S9paVltZ6CsGHDBvz444+IioqSO3737l2MGzcOeXl5sLe3h6GhIWJjY/Hhhx+iUaNG8PDwECfwa2J/S2lrf6lyOOJORDLW1tZ49uyZ7La9vT2io6Pl2sTFxUFXVzs+86emplbqT03ZoKe6q127NnJychSO+/r6YtasWQrHc3JyqvXFyWfOnIGbmxscHBzkjq9evRp5eXn44IMPEB0djTNnzmDDhg0oLi7Gr7/+KlLa18f+ltLW/lLlsHAnIpk2bdrg8uXLstvdu3dHREQEfvjhB1y/fh2///479u7dizZt2oiYUnwxMTHYunWr2DHoX2xtbWVzfisjJiYGtra2akykXg8fPkTbtm0Vjh87dgy1atXCnDlzZMf69euHDh064MyZM5qMqFLsbylt7S9VDgt3IpIZMGAACgoK8ODBAwDAtGnTYGtri4ULF8LHxwfTpk2DoaEh5s2bJ3JSce3bt08rViLRNh06dEB4eDju37//0rb37t1DeHg4OnbsqP5gapKUlARzc3O5Y6mpqbh37x7atm0LY2NjuXPu7u54+vSpJiOqFPur3f2lytGO77uJSCXKLsYsU69ePYSGhmLDhg24f/8+7O3tMXTo0Go9Sknaa9y4cfjjjz8wbtw47Nq1q9xVglJTUzF+/HiUlJRg7NixGk6pOnp6egpz9MvmQ7du3VqhvaGhoSZiqQ37q939pcph4U5EFTI1NcXUqVPFjkH0Um5ubpg8eTJWrVoFLy8vjB07Fr6+vrCxsQFQuvxnSEgI/vzzTyQkJOCTTz6Bm5ubyKmrztnZGadOnZI7dvz4cQiCoHR1nadPn8LKykpT8VSO/dXu/lLlcKoMEckEBAS8dO729u3by91+m0hsCxYswGeffYaUlBR89913GDBgANq3b4/27dtjwIAB+O6775CUlITPP/8c8+fPFzvua+nfvz/u3LmDzz//HDExMQgKCsKff/4JIyMj9OjRQ6F9REQEGjVqJEJS1WB/tbu/VDkccScimdDQ0HKXzisTFxeHsLAwDSUiejWCIGDu3LkYNWoUtmzZgsjISCQkJAAoXf7Ry8sLw4cPh7Ozs8hJX9/EiRMRGBiIP/74A3/++ScAQCqVYtGiRQrTJi5duoS7d+/i/fffFyGparC/2t1fqhwW7kT0SnJycrhDH73xnJ2d8dVXX4kdQ63q1KmDw4cP4+eff8b58+dhZmaGgQMHonfv3gptL1++jD59+qBPnz4iJFUN9le7+0uVI6SlpUnFDkFE4omLi5P93d3dHRMnTsTEiRMV2hUXF+Px48f49NNPIQgCIiMjNRnzjbJ48WIsXbqU67sTEZFGccSdqIZzd3eX7QwqCALWrFmDNWvWlNteKpVW+7nBRERE1RELd6IabtiwYRAEAVKpFNu2bYOrq6vSlTZ0dHRgZmaGTp06Kb0wioiIiNSLhTtRDbd69WrZ38PCwjBy5Eh8/PHHIiZ68zk4OFTrjXuIiKh64hx3IiIiIqJqgCPuRKTU2bNnceXKFWRmZsLY2Bhubm7w9vYWO9ZrWbJkSZXuJwgCZsyYoeI0REREr4Yj7kQkJyIiApMnT8bdu3cBlF6MWnbxqrOzM1atWqV0177qwMzMrEr3EwSBK8gQEZHoWLgTkcz169fRo0cP5OTkoGvXrvDz84OVlRUSEhIQEhKC48ePw8jICMHBwWjWrJnYcV9ZaGhole/7so2piIiI1I2FOxHJjB07Fvv27cPWrVuVrhxz9OhRDB8+HAEBAVi/fr0ICYmIiGouidgBiOjNERoaigEDBpS73GOPHj0wYMAAhISEaDgZERER8eJUIpLJyMiAo6NjhW0cHR2RkZGhoUSaU1xcjOTkZOTn5ys9b29vr+FERERE8li4E5GMtbU1IiMjK2xz/vx5WFtbayiR+kVFRWH+/PkIDw9HQUGB0jaCICA5OVnDyYiIiORxqgwRyfTu3RuhoaFYuHAh8vLy5M7l5eXhm2++QUhICPr06SNSQtWKjo5G7969ERkZia5du0IqlaJly5bo1q0bLCwsIJVK4ePjg6FDh4odlYiIiBenEtFzKSkp6N69Ox48eABzc3O0bdsWlpaWSExMxMWLF5GUlAQnJyccP368yksrvklGjx6No0eP4uTJk3BxcYGZmRlmzZqFmTNnIjc3F7Nnz0ZQUBCOHTv20ilERERE6sYRdyKSMTc3l60ck52djSNHjmDz5s04cuQIsrKyMHLkSBw9elQrinagdJOp3r17w8XFRXZMKi0dyzAwMMB3330Ha2trLFiwQKyIREREMpzjTkQycXFxMDExwapVq/Djjz/i5s2bsp1TmzZtCj09PWRmZiIuLk4rLtbMyMiAk5OT7Laenh6ys7NltyUSCXx9fbFr1y4R0hEREcnjiDsRyXh4eGDNmjUASovYli1bwtvbGy1btoSenh4A4JdffoGHh4eYMVXG0tISaWlpstv169fHnTt35Nrk5+cjNzdXw8mIiIgUsXAnIhmpVCqbKlJRG23h4uKCW7duyW57e3vjxIkTOHfuHAAgNjYWu3fvRpMmTcSKSEREJMPCnYheyZMnT2BkZCR2DJXo2bMnwsPD8ezZMwDAp59+CqlUil69esHZ2RkdO3ZEeno6pk2bJnJSIiIiznEnqvGWLFkidzs0NFRpu+LiYjx+/BiBgYHw9PTURDS1GzduHAYNGgRTU1MAgJubG4KCgrBs2TLcv38frVq1wkcffQR/f39xgxIREYHLQRLVeC+uECMIwkunwtjY2GDTpk1o06aNuqMRERHRC1i4E9VwZSPsUqkU/fv3x4gRIzB8+HCFdjo6OjAzM0PTpk0hkXCWHRERkaaxcCcimcWLF8PPzw8+Pj5iR9GovXv3YsuWLbhy5QoyMjJQt25duLm5YeTIkejXr5/Y8YiIiACwcCeiGqyoqAgffPAB9uzZA6lUCl1dXZibmyMlJQVFRUUQBAH9+/fHunXroKvLS4KIiEhc/L6biGqsH374AUFBQejQoQMOHjyI+Ph4xMbGIj4+HgcOHIC3tzf27NmD5cuXix2ViIiII+5EVHN5eHigdu3aCAsLUzqiXlhYCB8fH+Tn5+Py5csiJCQiInqOI+5EVGPFx8ejV69e5U6D0dPTQ69evRAfH6/hZERERIpYuBNRjdWgQQNkZ2dX2CYnJwd2dnYaSkRERFQ+Fu5EVGONGTMGu3fvlu2c+m9PnjxBYGAgxowZo+FkREREirhMAhHVGHFxcXK3Bw4ciLNnz6JTp06YOHEivL29Ub9+fSQkJODMmTNYs2YNvL29MWDAAJESExERPceLU4moxjAzM4MgCArHpVJpuccBQCKRIDk5We35iIiIKsIRdyKqMYYNG6a0QCciIqoOOOJORERERFQN8OJUIiIiIqJqgFNliIgAnD17FleuXEFmZiaMjY3h5uYGb29vsWMRERHJsHAnohotIiICkydPxt27dwHIX6jq7OyMVatWoX379mJGJCIiAsA57kRUg12/fh09evRATk4OunbtCj8/P1hZWSEhIQEhISE4fvw4jIyMEBwcjGbNmokdl4iIajgW7kRUY40dOxb79u3D1q1b0aNHD4XzR48exfDhwxEQEID169eLkJCIiOg5XpxKRDVWaGgoBgwYoLRoB4AePXpgwIABCAkJ0XAyIiIiRSzciajGysjIgKOjY4VtHB0dkZGRoaFERERE5WPhTkQ1lrW1NSIjIytsc/78eVhbW2soERERUflYuBNRjdW7d2+EhoZi4cKFyMvLkzuXl5eHb775BiEhIejTp49ICYmIiJ7jxalEVGOlpKSge/fuePDgAczNzdG2bVtYWloiMTERFy9eRFJSEpycnHD8+HGYmZmJHZeIiGo4Fu5EVKMlJydjzpw5CAwMlBt1r127Nt5++23MmzcPFhYWIiYkIiIqxcKdiAhAYWEhbt68Kds5tWnTptDT0xM7FhERkQwLdyIiIiKiaoAXpxIRERERVQO6YgcgItKUgICAKt1PEATs2bNHxWmIiIheDafKEFGNUdWVYQRBQEpKiorTEBERvRoW7kRERERE1QDnuBMRERERVQOc405ENc6zZ8+Ql5cHBwcHSCSl4xehoaEICwtTaOvm5sadU4mI6I3Awp2IapTk5GS0a9cO7dq1Q2BgoOx4aGgolixZotDe2NgYly5d4iZMREQkOhbuRFSjbN26FdnZ2fj6668VzgmCgHXr1slup6Wl4T//+Q+2bduGyZMnazAlERGRIhbuRFSjHDt2DM2aNYO7u7vS84MHD5a7vWXLFgQHB7NwJyIi0fHiVCKqUa5du4b27dtXun3Lli1x48YNNSYiIiKqHI64E1GNkpqainr16ikc9/X1Vdre0tISqamp6o5FRET0UizciahGqV27NnJychSO+/r6Ki3ec3JyoK+vr4loREREFeJUGSKqUWxtbXH16tVKt4+JiYGtra0aExEREVUOC3ciqlE6dOiA8PBw3L9//6Vt7927h/DwcHTs2FH9wYiIiF6ChTsR1Sjjxo1DUVERxo0bV+Hc9dTUVIwfPx4lJSUYO3asBhMSEREpxznuRFSjuLm5YfLkyVi1ahW8vLwwduxY+Pr6wsbGBgDw9OlThISE4M8//0RCQgI++eQTuLm5iZyaiIgIENLS0qRihyAi0iSpVIr58+djxYoVKCkpUXpeIpHg008/xVdffQVBEERISUREJI+FOxHVWHfu3MGWLVsQGRmJhIQEAKXLP3p5eWH48OFwdnYWOSEREdFzLNyJiIiIiKoBXpxKRERERFQNsHAnIiIiIqoGWLgTEREREVUDLNyJiIiIiKoBFu5ERERERNUAC3ciIiIiomqAhTsRERERUTXw/+L3n/saogvSAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most correlated features with 'total_consumption':\n",
      "Global_intensity    0.999222\n",
      "Sub_metering_3      0.751204\n",
      "Sub_metering_1      0.549166\n",
      "Name: total_consumption, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "correlation_matrix = consumptions_df.corr()\n",
    "\n",
    "# Plot the correlation matrix\n",
    "plt.figure(figsize=(6, 6))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\")\n",
    "plt.title(\"Correlation Matrix of Features\")\n",
    "plt.show()\n",
    "\n",
    "# Define the threshold value\n",
    "threshold = 0.5\n",
    "target_correlations = (\n",
    "    correlation_matrix[\"total_consumption\"].drop(\"total_consumption\", axis=0).abs()\n",
    ")\n",
    "\n",
    "# Filter features that have a correlation above the threshold\n",
    "highly_correlated_features = target_correlations[target_correlations > threshold]\n",
    "print(\"Most correlated features with 'total_consumption':\")\n",
    "print(highly_correlated_features.sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19d9e87c-21ee-4a9c-8fab-3a6669325e31",
   "metadata": {},
   "source": [
    "#### Observations and Insights About the Graph:\n",
    "\n",
    "- **Primary Predictor**: 'Global_intensity' shows a very high correlation with 'total_consumption' (r = 0.999), indicating it's a primary factor in predicting consumption.\n",
    "- **Secondary Factors**: 'Sub_metering_3' has a significant correlation (r = 0.75), while 'Sub_metering_1' shows a moderate relationship (r = 0.55) with total consumption.\n",
    "- **Lesser Predictors**: Other features like 'Global_reactive_power', 'Voltage', and 'Sub_metering_2' are less correlated, suggesting a weaker influence on total consumption."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "839cbb2f-d762-4c19-aa74-4c3002ed1604",
   "metadata": {},
   "source": [
    "## EDA - Conclusion\n",
    "\n",
    "- **Time Frame**: Data spans from **2006-12-16** to **2010-11-26**.\n",
    "- **Record Count**: Dataset contains **1442 entries**.\n",
    "- **Data Integrity**: No missing values detected.\n",
    "- **Target Variable**: \n",
    "  - **Total consumption** is the variable of interest.\n",
    "- **Predictive Features**: \n",
    "  - **Global_reactive_power** (weaker correlation)\n",
    "  - **Voltage** (weaker correlation)               \n",
    "  - **Global_intensity** (very high correlation, r = 0.999)\n",
    "  - **Sub_metering_1** (moderate correlation)        \n",
    "  - **Sub_metering_2** (weaker correlation)        \n",
    "  - **Sub_metering_3** (high correlation, r = 0.75) \n",
    "  - **Date** is used as the DataFrame index and could inform seasonal trend analysis.\n",
    " \n",
    "- **Feature Engineering**:\n",
    "    - Potential for creating new features based on the **Date** to capture seasonality, as indicated by the graph's Trends Over Time Analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b382fc87-c49e-4d0c-8959-3d054373ad97",
   "metadata": {},
   "source": [
    "## <a><span style=\"color:red\">`Important Note` on Feature Engineering</span></a>\n",
    "The dataset is from Sceaux, near Paris based on the [link](https://archive.ics.uci.edu/dataset/235/individual+household+electric+power+consumption). To improve our analysis, we'll use weather data from the **Weather API**. This helps because weather affects energy use. We'll also consider **French holidays**, which could impact energy consumption."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2570fcc4-7b5f-4d2d-b6a0-cbea3a81109b",
   "metadata": {},
   "source": [
    "### Read the French Holidays CSV File\r\n",
    "I acquired this dataset from the website [Data.gouv.fr](https://www.data.gouv.fr/fr/datasets/jours-feries-en-france/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b29e3353-aa03-40de-b425-378bc408f9c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>annee</th>\n",
       "      <th>zone</th>\n",
       "      <th>nom_jour_ferie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004-01-01</td>\n",
       "      <td>2004</td>\n",
       "      <td>Métropole</td>\n",
       "      <td>1er janvier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004-04-12</td>\n",
       "      <td>2004</td>\n",
       "      <td>Métropole</td>\n",
       "      <td>Lundi de Pâques</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2004-05-01</td>\n",
       "      <td>2004</td>\n",
       "      <td>Métropole</td>\n",
       "      <td>1er mai</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  annee       zone   nom_jour_ferie\n",
       "0 2004-01-01   2004  Métropole      1er janvier\n",
       "1 2004-04-12   2004  Métropole  Lundi de Pâques\n",
       "2 2004-05-01   2004  Métropole          1er mai"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "french_holidays_df = pd.read_csv(\n",
    "    \"../data/01_raw/french_holidays.csv\", parse_dates=[\"date\"]\n",
    ")\n",
    "french_holidays_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2eee554f-66d7-4a79-ae38-b706d75a6711",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data spans from 2004-01-01 to 2029-12-25\n"
     ]
    }
   ],
   "source": [
    "start_date = french_holidays_df.date.min()\n",
    "end_date = french_holidays_df.date.max()\n",
    "\n",
    "print(f\"Data spans from {str(start_date)[:10]} to {str(end_date)[:10]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "712ad82e-0ee4-409f-a8ae-fed3d4e6b532",
   "metadata": {},
   "source": [
    "We will use this data later to create a new column `is_holiday`, but for now let's focus on **processing the Weather Data**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0be61b5d-16f2-4f82-b92c-c5e008e303ee",
   "metadata": {},
   "source": [
    "### Read, Concatenate and Prepare the Weather Data in a Pandas DataFrame\n",
    "\r\n",
    "I acquired this data from [Visual Crossing](https://www.visualcrossing.com/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5f9313d2-acb9-4da7-b0f1-28640cd2ca0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>preciptype</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>solarradiation</th>\n",
       "      <th>solarenergy</th>\n",
       "      <th>uvindex</th>\n",
       "      <th>severerisk</th>\n",
       "      <th>sunrise</th>\n",
       "      <th>sunset</th>\n",
       "      <th>moonphase</th>\n",
       "      <th>conditions</th>\n",
       "      <th>description</th>\n",
       "      <th>icon</th>\n",
       "      <th>stations</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-31</th>\n",
       "      <td>Sceaux</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>-4.2</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>-3.2</td>\n",
       "      <td>-8.9</td>\n",
       "      <td>-6.7</td>\n",
       "      <td>-5.1</td>\n",
       "      <td>85.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.4</td>\n",
       "      <td>12.4</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1024.9</td>\n",
       "      <td>70.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>79.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011-01-31 08:22:43</td>\n",
       "      <td>2011-01-31 17:46:23</td>\n",
       "      <td>0.91</td>\n",
       "      <td>Partially cloudy</td>\n",
       "      <td>Partly cloudy throughout the day.</td>\n",
       "      <td>partly-cloudy-day</td>\n",
       "      <td>07149099999,07156099999,07146099999,0714509999...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name  tempmax  tempmin  temp  feelslikemax  feelslikemin  \\\n",
       "datetime                                                                 \n",
       "2011-01-31  Sceaux     -1.1     -4.2  -3.0          -3.2          -8.9   \n",
       "\n",
       "            feelslike  dew  humidity  precip  precipprob  precipcover  \\\n",
       "datetime                                                                \n",
       "2011-01-31       -6.7 -5.1      85.8     0.0           0          0.0   \n",
       "\n",
       "           preciptype  snow  snowdepth  windgust  windspeed  winddir  \\\n",
       "datetime                                                               \n",
       "2011-01-31        NaN   0.0        0.0      22.4       12.4      6.6   \n",
       "\n",
       "            sealevelpressure  cloudcover  visibility  solarradiation  \\\n",
       "datetime                                                               \n",
       "2011-01-31            1024.9        70.7         3.0            79.2   \n",
       "\n",
       "            solarenergy  uvindex  severerisk             sunrise  \\\n",
       "datetime                                                           \n",
       "2011-01-31          6.8      3.0         NaN 2011-01-31 08:22:43   \n",
       "\n",
       "                        sunset  moonphase        conditions  \\\n",
       "datetime                                                      \n",
       "2011-01-31 2011-01-31 17:46:23       0.91  Partially cloudy   \n",
       "\n",
       "                                  description               icon  \\\n",
       "datetime                                                           \n",
       "2011-01-31  Partly cloudy throughout the day.  partly-cloudy-day   \n",
       "\n",
       "                                                     stations  \n",
       "datetime                                                       \n",
       "2011-01-31  07149099999,07156099999,07146099999,0714509999...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data_part1 = pd.read_csv(\n",
    "    \"../data/01_raw/weather_data_part1.csv\",\n",
    "    parse_dates=[\"datetime\", \"sunrise\", \"sunset\"],\n",
    "    index_col=\"datetime\",\n",
    ")\n",
    "\n",
    "weather_data_part2 = pd.read_csv(\n",
    "    \"../data/01_raw/weather_data_part2.csv\",\n",
    "    parse_dates=[\"datetime\", \"sunrise\", \"sunset\"],\n",
    "    index_col=\"datetime\",\n",
    ")\n",
    "\n",
    "# Concatenate all DataFrames in weather_dictionary along rows\n",
    "weather_df = pd.concat([weather_data_part1, weather_data_part2], axis=0)\n",
    "\n",
    "weather_df.tail(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "409e14f9-1fda-4468-a19f-ab7b8673c1e8",
   "metadata": {},
   "source": [
    "### Missing Values per Column for the Weather Dataset\n",
    "We will first analyze this data in depth, select the possible features that could make the ML model better. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a89b397c-292c-4bf1-ae87-45f0c7f4fb39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BHz58YOjQoTg6OpIrVy7lNy5cuACkVUMxNjaWaZSF3tANrmlpt3cTExNcXFxQqVTMnj2bNWvWYGpqSt++fT8b8LG1tWXAgAGybQshhBBCCCEUEu4RQggh/oPcuXMDcOPGDYBPOuuEEEIIIYQQQvw13WDP7NmzCQoK4t27d0qIQaPRYGVlxbRp01Cr1Z8N7Vy8eJH58+eTI0cOKleuDCDhB6EXtNt3cnIyjx494s6dOxgZGZEnTx4cHByAtIDPzz//DKTtA8uXLwf4YsBHtm0hhBBCCCGELgn3CCGEEP/BDz/8gLW1tTLPvXSwCSGEEEIIIcTfl5qaqgR7Jk2aRHBwMI6OjqxYsYJatWop91ipqanp/q1bMfXYsWMEBAQQFhbGrFmzqFat2tdviBCfoZ0eLjY2lpEjR3L8+HF+//13ALJkycJPP/2Ev78/+fLlUwI+KpWKWbNm/ceAjxBCCCGEEEJoSbhHCCGE+P8+nm5Ld6SoRqMhIiKCyMjIb3a+eylnL4QQhuVzUz8IIYQQ+kh7vgoODiY4OJimTZvi7u5O2bJlP/s5SJvOSKPRcOfOHQ4dOsSsWbOIj4/Hx8eHHj16AHIPIzJeamoqxsbGxMTE0KRJE65du0b58uVp1qwZd+7c4fbt2xw4cIAXL17g7e1NlSpVMDExoW3btgDMmjWL1atXExMTg5ubG/ny5cvgFgkhhBBCCCH0lSoyMlKT0QshhBBCZDRtsCcuLo7r169jbW1Nrly5sLW1JSYmhs6dO3P9+nVOnDhB3rx5033XUB+ufhxm0o42FEIIof90j+GJiYmYmppm8BIJIYQQf+3atWt06tQJlUrF2rVrKVeunPLe77//zoMHDzh8+DDly5enTJkyFClShMTERAYPHsymTZuoVKkSAwcOpFWrVoDh3oeJb09iYiKurq7s2bMHd3d3hgwZgqWlJR8+fODFixe4urpy8+ZNypYty6pVqyhcuDAASUlJbNu2jYkTJ6JWqzlx4gQ5cuTI4Nb8Nd1r0I/7FIQQQgghhBD/tyTcI4QQQvx/sbGxlClThnfv3gGQPXt2ihQpgq2tLefOncPc3JyePXvStm1bjI2NKVCggMF2ZGmDPHFxcSxbtoyHDx+SlJREgwYNaNasmcG2Swghvge6VQomTJjAqVOn2L17N1ZWVhm8ZEIIIcSXHTp0iA4dOuDm5sa4ceOU13ft2sXq1as5deoU8fHxZMqUierVqzN16lRKlChBVFQUe/fupUKFChQrVgyQYI/QL+fOnaNdu3b89NNPbNy4ESMjI1JTU4G0alQvX77ExcWF69evU69ePbZs2aJ8Nykpid27d+Po6KiEfgxBYGAgefLkoWPHjrI/CiGEEEII8ZXI8HwhhBDi/3v27BktWrQgU6ZM3Lx5k8ePH3P79m2ioqIAiIqKYubMmSxYsACVSkXx4sWxtbWlUKFCZM2aFUdHRxo1apTBrfjPdMuGt2rVikuXLinvrVmzht69e+Pq6oq9vX0GLqUQQogv0QZ7goKCmDdvHuXKlePx48eULl06g5dMCCGE+LJXr16RmprK8+fPefr0KWq1mqVLlzJnzhw0Gg1du3bFxMSEixcvcuLECS5cuECJEiWwtramQ4cOyu9oNBoJEoivLjY2lkyZMn02yHLlyhU+fPiAk5MTRkZG6aoqpqSkYGdnx+rVq2nUqBGnT5/m5MmT1KxZk5SUFExMTGjdunVGNOm/tm/fPqZNm4arqysdO3aU/VEIYfBkmk8hhBCGQsI9QgghxP9XrFgxZs+eDaTd1MXHx5OYmMjdu3dZuXIl69ato2jRohQrVozLly/z4MEDIiMjSU1NxdramqNHj2ZsA/4mtVpNQkICnTt3Jjw8HBcXF1q0aMH9+/eZP38+S5cu5Y8//mDYsGE4ODhk9OIKIYT4/3SnPoiMjGTDhg3UrVuXGTNmULJkyQxeOiGEEOJTGk1awXCVSkX16tWpWLEiW7Zs4fLly0RGRvLy5Utq1KjBkCFDcHJyIjExkXnz5uHl5cX58+fp2rXrJ78pD9/E1zZ58mTCwsJYtmzZZ6fNSkpKAuD169cA6aZLNTIyIiUlhbx581K1alW2b9/Os2fPlPcMUe7cuVGr1YSGhtKhQwcqVaqU0YskhBB/y8cBTe1/a68tpBKZEEIIfSfhHiGEEOL/S01NRaVSoVKpSElJwcLCAgsLCypVqsTJkycB6Ny5M4MGDeLt27fExcXx/Plz7t+/T+XKlSlSpEgGt+Cv6T4Uvnr1KhEREQwZMoSxY8diYmICQJkyZQgMDGTbtm1oNBpGjBhBuXLlMnKxhRBC/H/aY/jRo0fJli0bL1++xMvLS4I9Qggh9MbHD8V0gzj58+dn2LBhhISEcP78efLkycP48eOpXr06hQsXRqPRYGpqirGxMSYmJtSvXz8jmiBEOo8fP2blypVERUURHh6Ok5MTkL7KQ4ECBQA4cOAAHTp0oGjRoul+Q6VSYWJiQqlSpdi+fTsfPnz4uo34H3N0dGTgwIHMmzePmzdvUqlSJXkgLoTQe7r9or/88gvh4eHcvHkTW1tbqlevTrVq1cidO3e6zwkhhBD6RsI9QgghvjtfuknT7YgyNk47RWo7qIoXLw7Aw4cPAbC1tSVr1qzkzZtXb0ep6XY2pqamYmRkRGxsLI8fPyYiIoL4+HiGDRuGiYmJUja8QYMGmJmZ4e3tzfbt2wEk4COEEHrE39+fGTNmULduXTQajd4HS4UQQnw/dO+z7ty5w/Pnz3nw4AFlypQhV65cFCpUiCZNmuDk5MRvv/2GnZ0dVlZWyvdVKhVnz55l6dKl5M2bl2LFimVUU4RQ5MuXj5CQEJ49e4aTkxMJCQnExcVha2urbPOOjo44Ojpy69Yt9u7dS7du3bC1tQVIN0XXjRs3MDc3x9HRMeMa9D9Svnx5NBoN8+bNo1mzZmTPnj2jF0kIIb5I2y8KMH36dIKCgkhMTFTeX7FiBY6OjsyfPx97e3uZpksIIYTeknCPEEKI70pycjLGxsYkJCRw8OBBwsLCiI+Px97enpYtW2JtbQ38GYzRBn60D08jIyMBDGJEmrYCkZGREWq1msTERH766SeePXuGi4sLderUwcbGhtTUVExNTZU216xZEyBdwGfkyJGULVs2A1sjhBAiJSWFfPnyYWtry9GjR7GwsODVq1cUKVJEOb8JIYQ+uH79Ovnz51cebotvn+5Dszlz5rB8+XKePHkCgImJCQUKFMDLy4smTZpgZmbGDz/8AKQfkHDq1Cn8/Pz47bffCAoKokyZMhnTmH9Ae/6VUf7fLiMjI2rVqgVAXFwcderUIX/+/CxatIhs2bIBULhwYVq1akV4eDg+Pj6oVCqaN29OoUKFlGDP6tWrOXToEBUqVPikso8++k+VeNq0aUNISAgnT57kypUrODs7y34ghNBb2uPZjBkzCAgIoHLlyowcOZICBQrw6tUrFi9ezJ49e2jdujUHDx5UKrIJIYQQ+kb/n0wKIYQQ/yMpKSkYGxsTExND165d6datG7NmzWLBggUMHTqUvn37cvDgQaWDWaPRAGkdztbW1hgbG3Pt2jUiIyNJSUnJ4NZ82ciRIxk9ejRAuo41U1NTZYTgpk2buHnzJk+fPlVucHXbXLNmTcaOHUvVqlXZtWsXU6ZM4ebNm1+3IUIIIdIxMjKiTZs2zJ49m9y5cxMXF0dAQACpqanKg0UhhMhoV65coVatWrRv314Jxotvm0ajUe4pPD098fT0xMjIiMmTJzN27Fjatm3LgwcP6Ny5MyEhIem+q1Kp+PDhA8uXL2fgwIGcPXsWLy8vOnfurPy2vtLeX0ZHR1OnTh1WrlyZ0Ysk/o/duXOHt2/f8ssvv+Dh4cGbN2+U94YNG8agQYOIi4tj+vTpDBgwgNmzZ7Njxw5GjhzJ+PHjyZQpE7NmzSJLliwZ2Ir/TDfY8/btW6W6hXZ/TEpKAqBx48akpKSwadMmAAn2CCH02sGDB5k7dy5VqlRh5syZODs7U7JkSWrVqoW9vT1mZmaUKFGCt2/fZvSiin8gNTU1oxdBCCG+Kgn3CCGE+C7oTkvVvHlzDh06RJMmTdi7dy9bt26lXr16HDhwgFmzZrF9+/Z0AR+VSkW+fPkoXbo0UVFRqNVqvey00mg03L17lxUrVrB06VIuXLigvKftjFuzZg3t27cH4NWrV5w5cybdb3wc8Bk3bhwlS5bkwoULet8BKYQQ3zLtsdnMzIyGDRvi7e1N7ty5+eWXXxg7dizJyckYGRlJwEfoPel8/fZZWVlRoEABLly4gKurqwR8vgPayjshISHMmTOH+vXrs3LlSoYPH86YMWNYsGCBUvlkz5496QIRt27dYty4cbi5uWFmZsa8efMYNGgQkHa80OcpMYyMjEhISKB79+7cuHGDixcvkpycnNGLJf4l3UE+2vWpfa1MmTKsXLkSe3t7Nm/e/EnAZ9q0aUyYMIEiRYpw7tw5pkyZQo8ePVi9ejVFihRhz549BjHdnDbYM2zYMKpVq8bIkSM5d+4cCQkJQFo1LoB69ephY2PDnj17uHjxYoYtrxBC/B0XL14kLi4ONzc3SpUqpbyureZTu3ZtpkyZogyMjI+PB/Q7aPy9S0lJUc5Zd+/e5dSpU1y/fp0XL14Asu6EEN8mqdsuhBDiu6CdlmrAgAHcunWLkSNHMmrUKCwsLPjjjz8wNzcH4Ny5c8TExKBSqWjRogVqtVopLZ2YmEhUVBSxsbHK9F36RKVSUbx4cUJCQnj48CE//fQTSUlJmJiYYGpqSkJCAmZmZixcuBC1Ws369euZMGEC+fLlo3r16ul+RxtqqlGjBv7+/uTNm5c8efJkYOuEEOL78fE0CB9PuWVubo6TkxMAY8aMYfHixZiYmODp6SlTgwi9prtt/vrrr0Bap3nJkiWVz+hO0SMMU/Hixdm8eTM9evTg6NGjuLq6snz5cpmi6xuXmJjIjh07sLa2Zty4cZQrV055z9/fnxMnTtC0aVOGDx9O9uzZlfeKFi1KhQoVKFGiBDVq1FAeqP2nKYEyku55+eDBg4SHh+Pu7s6QIUNkikwDpj1HRUVFYWNjQ3JyMiYmJnz48IFu3boxadIkypcvT5UqVfDz82PMmDFs2bIFAB8fH2W7dnNzw9nZmbCwMCIiIlCr1VStWpVKlSphZ2eXkU38RyIjI7l16xYWFhasXbuWtWvX4uTkRO3atencuTNmZmYULVqU3r17ExgYyKVLl6hUqVJGL7YQQnxWXFwcp06dwsbGRrnWAPD19cXf3x9nZ2cmTJhA2bJlAXj48CFHjx6lbdu2cg2rp3SnhA0MDGTJkiW8fPkSS0tLcufOTWBgoBIuF0KIb4kqMjJSootCCCG+C1u2bGHYsGE0bdqUmTNnYmlpyb179wgICCA0NJQ2bdpga2vL8uXL+emnn+jXrx+tWrVSgkF+fn64uLhQokSJjG7KZ338MCw6OhoHBwdcXFzw8fEB0h6gaYNMgwcPZu3ateTIkYMVK1akC/h87veEEOJr0z7Y+9zx6Fs9RumGH3bu3MmVK1c4c+YM1tbW1K9fnwYNGigjvmNjYzl48CBjxozh9evXDBo0SAI+Qq/o7qe622RwcDBr167l1atXxMfH06dPH1q1akX58uU/+Z4wPNpj9+3bt+nbty/Xr1+nTp06rFixQh6OfMN+/fVXKlSoQKtWrVi2bJnyuq+vLz4+Pp88NAsPD8fMzAx7e3ulQoq2Gog+HwO023dMTAzR0dEcOnSIqVOncvHiRaytrfU6lCT+s3PnztG4cWMWL16Mi4sLUVFRNGnShJs3b+Ln50fv3r1RqVSkpKRw9uxZxowZQ0REBG3btk0X8DFEuudp7XYcHR1NQkICK1as4Pjx45w6dQqAUqVK8eOPPzJ48GCuXLnCwIEDKViwINu3b6dQoUIZ2AohhPi8hIQEWrVqxdWrVzl//jz58+fH29sbPz+/T65RACZMmMCePXvYsmULRYoUycAlF//JtGnTCAwMJHv27JQpU4b3798TFhaGSqViyZIltG3bNqMXUQgh/qfkblMIIcR3ISEhgX379mFpaYmPjw+WlpY8efKEuXPnEhoaSvfu3Vm2bBk9evTAzs6OCxcusHjxYnbt2kVqaiqmpqaMGTNGb4M9wCcd4FevXuXt27csWrSI6dOnA2nVHrRlZefOnUvnzp15/fo1PXv25PTp03/5e0II8TXplld+/Pgx4eHhXLlyhYiICODbPEbpjjybNm0avXr1Yt68eTx48IBffvmFcePGMWTIEEJCQgDIlCkTjRs3xs/Pjxw5cjBv3jy8vLyUKboMhUzT9G06c+YMa9asITY2FkDZJqdMmcKkSZN48uQJhQoVIi4ujqCgIDw9PTlw4ACQfppQYVh0j90lS5Zkzpw5FCxYkGPHjtG9e3eZousb8bkpID98+EBqaqqyz8OXgz0Ay5cvZ+bMmURHR6NSqZRgD+j3OV6tVpOQkECxYsUoWbIkO3bsoHr16lhbW6PRaCTYY+C098R9+/Zl8+bNNG3alHv37jFx4kS6du2qbJtGRkZUrVoVPz8/7O3t2bJlS7opugxxmlTteVo7xXdycjJWVlZky5aNUaNGsX79enbs2IGLiwtxcXGsWbMGJycnDh48iLW1Ne/fv+fu3buAYbb/eyTXWuJb9LntOjU1FTMzM0qXLk1cXByXLl1i3rx5+Pn54eTk9Mk1yqFDh1i+fDmOjo5ky5btay6++Bt01/GpU6cICQmhadOm7Nq1i23btnH48GGGDBmCRqOhT58+bNq0KQOXVggh/vekVqwQQojvgpmZGV27dqVOnTpkyZKFxMREdu7cSUhICC4uLsyePRuAsmXL4uLiwty5c7l27Rrjx49HrVbTvHnzdB3OhqB69eqsX7+ejh07EhAQAMD48eOVgI+5uTlz584FYO3atfTs2ZOVK1dSrVq1jFxsIcR3Srey2McVPlatWsXjx4+BtJBi+/bt6dKlC2XKlPmmpr/QPhD08/MjMDCQGjVq4ObmRvHixXnw4AG7d+9m8eLFJCYmkitXLpycnDAzM6Nx48YAjBs3juDgYKKjowkMDNTrh6Nauuv6l19+ISIigvDwcKytrWnevDmlS5cmZ86cGbyU4p968uQJrVq1IikpCbVaTevWrcmUKRN79+5l6dKlNG7cmJEjR1KxYkWOHDnCkiVLOHjwILGxsaSmptK4ceN004QKw6C7P69YsYJjx47x8OFDJexx4sQJevbsKRV8DJxuEHX8+PGUKVOGjh07kjNnTrJly8bbt2+Bvw72bNu2jZCQEDw8PLC0tMyQdvwbZmZm1KxZk4MHD3LkyBFKlizJs2fPyJs3b0YvmviX3NzcMDc3Z8KECfTp0wdjY2NmzJhBly5dMDc3T1eZSTfgoztFl6+vL9myZTOYKk6659r169czevRoypUrx6xZs3B0dFTaYGlpSa1atahUqRKxsbEsXbqU8+fPs337duW3lixZgrOzs0GFzL8n2ikFk5OTUavVBrF9CvFP6B53Hz9+jJGREfny5VNeq1atGsuWLcPV1RWApk2bMnr06HTXKBcvXmTmzJlYWVnRuXNnbGxsvn5D/qaP75UM5bzzb3zcxtevX/P+/XtGjBhByZIllfsRLy8vZYBvv379AHBxccmoxRZCiP+pb/tIL4QQQuioXbu2ciGv7Yz68ccf8fX1BdLmXwawsrKiUKFCtGzZkoSEBOUmz5AeLmlHMTRq1Ih169YBEBAQ8B8r+LRo0YLz589nzEILIb5bJ0+eZPjw4Tx48AD4c+Swl5cXkyZN4uXLl9SuXZuKFSsSHR3NsmXLGDNmDNu2bSMxMTEjF/1/7vjx48ydOxcHBwe8vb2pU6cOefLkoWbNmsp5yM7OLt0DRG3AZ+rUqZiYmFC0aFGDOGfpPiCeMWMG3bp1Y+LEiWzdupUVK1bQvn17xo0bx/HjxzN4ScU/VaBAAQYNGkSmTJkYO3YsmzdvBuDWrVvY2toyfvx4KlasCEC9evUYN24cHTp0ICwsjJkzZ7Jv3z5AKvgYEo1Gk6460+jRo/n1119p3rw5bm5uNGnShLx583Ls2DFcXV2lgo8B0z5Q8ff3Z/78+cyYMYPXr19jYWGBg4MDFy5coHHjxvj4+NCwYUPGjh2b7qHZ+fPnmTlzJgULFqR+/foGcb7Spa02t3HjRtq0aUNqaioPHjzg0qVL6d4Xhic5ORmAQYMGkTlzZtRqNcnJyWTPnh0LCwtSUlI+2V4/V8Fn4MCBvH371iAesH7cpiJFilCjRg1loFNYWNgn27S5uTnZsmXD3d2drVu3sn79evr27UuuXLm4cOECYWFhgFSF0TcajQZjY2M+fPhA3759lWqoQnwrdKtHrl69mr59+zJkyBAePXqkfKZNmzYMGjQISLueqVy5Mg4ODsr7hw8fxsPDg3PnzuHh4UGDBg2+biP+Ae3xOyUlhSdPngAYxHnn39K2cfjw4bRs2ZIzZ87QqlUrKlSoAKSdl7XV49zd3fHw8ECj0dCvXz+p4COE+GZ8O8NchRBCCL48SkH7uqmpKZBWYvXx48fUqlWLLFmyoNFosLCwAODKlSv88MMPjB8/Hk9PT+zs7L5qG/6pz7VZe4OnVqtp3Lgx69ato1OnTn9ZwSc6OpodO3ZIyVkhxFf17t07Jk+eTFhYGEZGRowaNYrChQtz4MABli5dSosWLRg1ahRly5ZFo9Fw6tQpvL29OXv2LLGxsVhaWipVPr4Fly9f5sOHD3h4eFCmTBnldV9fXxYtWkTDhg1xd3enVKlSACQmJmJqaoqZmRnNmjXD0dGRH374IaMW/x/RnrtmzJiBv78/lSpVYvDgwRQsWJCrV6+yd+9etmzZQmRkJDY2Njg6OmbsAou/RTtacvLkyZibmxMQEMCECROAtGssZ2dnSpcurXRIq9VqypYty+DBg4G0B+YzZ84EkAo+BkS7flavXs3s2bOpV68e06ZNw97eHoAOHTpw9epV3N3dOXr0KK6urixfvlwq+BgQ3XuO8PBwVq9eTatWrRg+fDg5cuQAYMiQIRw5coRz585RvHhxpk2bRtGiRZXfOH78OP7+/kRERBAUFKSE/AyJWq1Wzr3Lli3DyMiITZs2MWjQIAoWLIijo2O6KlbCcBgbG5OUlMS8efMwNTWlTJkynD17FldXV4yMjGjRogXwaaUEbcDH39+fPn36cOLECWUgjT7TDVnPnz+fnTt38vLlS2VqsXPnzjFx4kSmTp3Kjz/+qLT54/Nyo0aNqFGjBtbW1gQEBHD8+HHKly8v5209oLueVCoVqamptGvXjsePHyv3EkJ8Cz6e3jooKIhMmTIxefJkrK2tgT/3h8GDBxMTE8PKlSuZNGkS9+/fx9zcnHfv3rFr1y4SExOZMWOGUt1HH+9DtFW44uLi8Pb2ZuvWrQwbNow+ffpk9KJ9FS9evGDr1q18+PCBa9euUapUKRISEjA2NsbIyEgJ+BgZGeHu7g6Aj48PgwcPJiUlhQ4dOmRwC4QQ4t/59qOcQgghvhva0sIJCQlcunSJHTt2cP/+fd6/f49arU43Kk17cxcdHc379++V11euXMn58+dxcHAgX758eh/s+as2GxkZkZycjEajUQI+8GkFn4SEBCCt7REREek64IUQ4v+alZUVo0ePplKlSqxbtw4fHx/++OMPXr9+jUqlYsSIEelG/NesWRM/Pz8aNmzIzZs3CQkJUUZaG7KUlBRSUlI4dOgQZmZm6Y7FulObjB8/Xgm53Lx5k/Xr15OUlASkVfDRBnsMpXLA/v37CQoKonLlysyaNYsWLVrg4OBAt27dlHOwhYUFmTJlyuAlFX+X9voD0kZLjhw5ktjYWMaPH8/58+eVjncjI6N04WR7e3sGDx5M+/btCQsLIygoiD179gCGVT3xe5aUlKRU2ho6dCj29vZoNBo0Gg02NjbUqlWL4OBgihUrxtGjR+nRowfv3r3L4KUWf4dGo1H216ioKJKTk3nx4gV9+vTBwcEBjUZDamoqderUYc6cOQDcvXuXxYsXs2fPHo4cOcLs2bPp1asXp0+fZsqUKXTq1En5bX2lHfmtpb1v0g4YAVi8eDEuLi7ExMTQvHlzrl27hpGRkcGch0V6JiYmtGjRguXLl7N3714mTZoEQPfu3dm9ezfwZ7hFdx0bGRlRuXJlli9fztmzZ8mTJ0+GLP8/od2nvby8GD9+PCqVikmTJrF48WICAgKws7Pj7NmzjB07litXrqRr78fnZSsrK6pXrw7AgQMHiIqK0ut9+1v322+/AZ9WQFSr1bx79458+fJ9E/dPQkD6axQvLy8CAwOpWbMmW7ZsoWfPnsoARu1xK1euXEyfPp2JEyeSNWtWVq9ezeLFi9m+fTs1a9ZkxYoVDBgwAEi7p9a3+xBtsCcmJoZ27doxd+5cbGxssLOzU/oFvnW5c+dm586dFClShMjISF6+fMmHDx/SVe35uILPuHHjSExMZMCAAdy7dy8jF18IIf41VWRkpFxpCyGEMHjaRH5MTAydOnXi0qVLxMbGkitXLsqUKUNAQAAFCxZUboJu3bqFq6srjx8/pnfv3lSoUIHz58+zdu1abGxs2LVrF4UKFcroZv2lv9vmxMRETExMUKlU7Nu3T+lIHzVqFOPHjwfSOqrNzMwysjlCiO9YUlISx44dw9vbm7CwMNq3b8+LFy8wMjJi69atn/1OeHg4HTt25Pfff2fmzJn07NnzKy/1v/OlUf3du3fn4MGDnD17lkKFCuHt7Y2fnx/Ozs5MmDAhXdBp2rRpBAYGcvr0aYMbfasdATlhwgTmzZvH9u3bqV27tvK+n58f3t7eNGrUiDFjxlC+fHngyxX6RMbRHc2qfdj58bY9ffp0li1bxrt376hatSrz58//4nVWREQECxYsICQkhBIlSrBhwwa9vyYTaaKiomjYsCGvX7/m/PnzZMuW7ZN9Njk5maVLl+Ll5UVcXBx169aVCj4GZMSIEWzcuJFGjRrx4sULZQq9j0e1b9u2jaFDhxIdHZ3u+8WLF2f48OF07NgR0O9juva+MT4+ng0bNnD58mVevnxJrly5aNiwIVWrViVr1qzK5/v160doaChWVlbs2bOHcuXK6XX7xKe06xz+rIwIaaP9tVN5h4SE0KxZs3Sf3blzJ4ULF053jWYoQkND6devH1WrViUwMFCptgbw66+/MmTIEE6dOkWVKlWYNm0a5cuX/2Sb1v4tEhMTKVeuHAUKFGDXrl3Sv5BBPD09uXLlCpMmTVKqo2mP0ZGRkVSpUoUyZcqwefNmvaxIIsR/a8OGDQwYMIBatWoxY8YMSpcune79qKgo4uPjyZkzp/Law4cPeffuHZGRkRQuXJicOXNiZWUF6Oc1inaZYmJiaNy4MXfu3KFnz55MnjxZqUav+7lv3dWrV3F1deXhw4fUqVOHdevWKdNoau9Hdf89ZcoUsmTJwtChQzNysYUQ4l/79o/wQgjg0xFnQnxrjIyMiI+Px8XFhRMnTlCuXDmcnJywtrbm8OHDNGvWjEePHikdcKVKlaJbt25YWVkxd+5cevbsycKFC8mTJw+bNm0yiIdIf7fNpqamJCUlfbaCjzbcIx1vQoiMZGJiQp06dRg7diwODg7s2LGDu3fvkpCQ8MnIaC1HR0eGDBkCwP3797/2Iv8rGo1G6WA6c+YMcXFxyuhZOzs74uPjWbVqFZ6enl8M9hw+fJilS5fSuHFjcuXKlSHt+Dc0Gg2xsbEcOnSInDlzUq5cOeU9X19fvL29cXZ2Zty4cUqwJzw8nGPHjmXQEovP+Xg0q0qlUrbtoKAgdu3aBaRNB9qrVy+sra0JCwvjwIEDxMbGfvY37e3t6devHy1btqRHjx4GcU0m0mgfEv7xxx+cPHkS4JMHC8bGxlStWpX4+HgsLS05evQoLi4uJCYmZsQii38gMTGRFy9eEBcXx+HDh/ntt994/PjxZz/bunVr9u7dy+LFixkwYACDBw9m/fr1rF692iCCPSkpKRgbGxMdHU2bNm0YMWIE69ev59ixY4SEhNCrVy8GDRrE06dPle8sWrSIdu3aER0dTdOmTbl+/TpqtVoq+OgxbT+ZtrLJhw8flPdMTU2VSk0eHh7KtB5du3Zl165dSr+CNhzTt29fg5iK62NXrlxBrVZ/Um0tJSWFQoUKERQUhL29vTJFV1hY2CcVebR/i/Xr1/Py5Uvs7OykKkwG+fXXXzl+/DgnT55k7ty5XL58GfizYklcXBzx8fFKMFGCPeJbcuTIEczMzBg9enS6YM+lS5eYPXs2Tk5OODs74+3tzYMHDwAoUqQIFSpUoH79+hQpUgRLS0sgfTUgfaJWq0lKSmL48OFcv36dIUOGfBLsAT6pjGmoldS0y/255U9NTcXBwYHly5dTpEgRjh07Rr9+/YiPj/9iBZ/JkycrwR65PhNCGDL9O0MJIf5PaDvZV69ena4DSohvyb59+3jw4AGjRo1i3759hIaGsn37dho0aMBvv/1Go0aNePjwofL5gQMHEhAQwLBhw2jRogVTpkxh8+bNlCxZMgNb8c/83TZ/HPDZsGEDAPPnz+fNmzcZ3AohhPgz4DN+/HjKli3L77//ztmzZ7l48eInHWvazpm8efMCaZU+wHA6rbQd6Z6enjRr1ow//vhDeTDi6upK3rx5WbBgAXPmzKF+/fp4eXmlC/ZcvHiRwMBA1Go13bt3T1c5wFCo1WoyZcqEjY0NRkZGZM6cGQBvb29lCrKPA00hISH07NmT58+fZ9Rii49o981+/fqxcOFC5XV3d3cmT57M+fPniYqKAtICPv379yclJYXp06ezZcuWLwZ8SpcuzaxZs+jfvz9gOPv2987GxoZGjRqhUqk4c+YMMTEx6d7XdqKXK1eOH3/8kREjRlCwYEGcnJzSTXMk9JOpqSlLly6lXbt2fPjwgd9++43w8PBPPqfdX8uWLYuLiwszZsxg6tSpNGrUiBIlSiif0ceHZvBnADcuLo7WrVtz/vx5unfvzqVLlzh27Bjbt2/H3t6e/fv34+bmRmRkpLJt6wZ8atWqxc2bN/W2nd+75ORkZbDM3Llz6dGjB/Xr12fo0KFs2rQJSBsA87mAT7du3QgODsbDw4Px48djYWHBokWLMDc3z7D2/B0fP8hMSEjg7NmzpKamYmNjo3xGG9RNTU2lcOHCzJ07FwsLC86ePYuHhwc3b9785PcuXrzI6NGjsbGxYfLkycoDcvF1FSpUiClTptCgQQN27tzJ7NmzlYAPpIV7UlJSZHCX+OZERUVx/vx5cufOTY0aNZTXly1bRq9evZgyZQq///47jx8/xs/PjzVr1nz2d7T36focfHv48CEnTpygSpUqyjlI6/Dhw4wdO5a6devSq1cv1q9fT3Jysl6350tSUlKU5X779i0RERHcvHlT6fvRXl9pAz6FChVi165d9OnT57MBn4/J9ZkQwpAZZ/QCCCG+Hu3UDQcOHCB//vwZvThC/M+dOXMGKysrRowYAaR12OXOnZtNmzbRsWNH9u/fT+PGjdm/fz+FCxcGoGXLlrRs2TIjF/tf+adt1k7R1bBhQzZt2kTevHnJnj17BrdCCCHSHqZpAz4ajYagoCBOnz7N1KlTCQwMpHjx4spoYm3njDY0UK1aNUC/O+E+58GDB2g0GubPn4+npyempqbkzZuX9u3bs2rVKlJSUihRooTyMBRg7969BAYGcuXKFQICAmjYsCHw6ZQo+k6j0ZCcnIy1tTUvXrxgw4YNPHnyBH9/f5ycnD4J9uzbt48NGzbQpEkTJQgk9MOaNWsIDQ3l8uXL5M6dm4sXL7J48WKaN29O9+7dsba2Vsqhjx07FpVKRWBgoFI98Oeff07XKa3dlrNkyZLuv4V++NL60FZhcXR0xMTEhCVLllC6dGm6du2qdJ5rv3fw4EEuX76Mp6cnAwcOVNa/rGv9Z2VlRUBAAGq1mg0bNtCvXz9y5cpF5cqVlfX3d9ahPq9nlUqFRqMhMDCQS5cuMXDgQCZMmKBsp6mpqSQlJZE9e3ZKlCiBsbGxUqFHrVazaNEiPnz4wL59+yS0pqd0KzO1a9eOs2fPYmFhgZGREevWrWPjxo2cPXuWwMBAzMzMiI+Px9zcHA8PD0xMTJg2bRqTJk0C4IcffmDNmjV6P0BIt1LWjRs3yJ8/PzY2NuTLl49r165x584dqlatmu4BqFqtVir4FCpUiPfv33Pp0iXGjx9PaGgoZmZmyu9WqlSJnj170rFjR4oWLZpRzfyuaY/BtWrVAtK28z179gAwdOhQKlWqxLt374iOjlbCXFq624fuv+W8LAyFiYkJ9vb2HDhwgFmzZpEtWzaOHTvGtm3byJEjBwEBATg7O3Ps2DGGDh3K8uXL6datm9I3bEhu3brFq1evaNeunbJ/JiYm4u7uzpYtW5QqdE+fPiU8PBxra2uaNm1qUPuz7lRay5YtY9OmTVy6dAljY2OSk5NxdXWladOmyrTeDg4OrFy5kh49erB792769OnDkiVLMDc3TzeNphBCfCsknijEd0T7ACwuLi6Dl0SIf093qjntiDEjIyPatGlDpkyZSEpKUi76Ia1EdKNGjXj16hWNGjXi0aNHAAZVLvp/0WbdCj4NGjTA3t4+Q9oihPi+fa68srajycTEhLp16zJ06FAqVqzIqVOnmDJlCrdu3UKlUimdzRcvXmTBggWo1Wp+/PHHr9+If0Hbbg8PD+zs7Lhw4YJSwSRz5sz06NGD1q1bY2VlxeLFi6lduzYDBw6kbdu2dO7cmRs3bjBjxgx69eoFfDo1kj75UsWV1NRUTExM6NevH+bm5kyaNAl/f3+cnZ2ZMmXKJ5WKZs+ejaWlJZ06dZJwj56pVq0aY8aM4dmzZwwdOpR58+bRqlUrvLy8KFasGJC+HLqHhwdubm7ExcUxfvx4Nm/enO7+5ONtWR+37e91ymPdEbSRkZHcv3+fhw8f8vLlS+XY3KJFCwYPHgzA8OHDWbBgAXfv3gXS1uX58+eZO3cuBQoUwM7OToI9euivpilISUkhc+bM+Pn50bFjRxISEujVqxcXL15UQjHfgvj4eE6ePEmBAgUYM2aMsp2mpKTQsGFDbt68Sffu3Rk1ahRWVlbExsamu69ct24dt27dUo6BQn+kpqZiZGREbGwsrVu35sKFC3Tt2pVr165x/fp1Jby2YsUK+vXrh0ajwdzcXKng4+bmxpo1a5g6dSrTpk1jx44deh/s0a2U5e7uTtu2bfnll18AlAoXS5Ys+aQSlzZQnzVrVrJly0b16tWpUKECJ06cwNPTE/gzAARp06o6Ojp+lTaJT+keg2vVqsXw4cOpU6cOe/bsISgoiIiICOX6287ODoDo6GiioqJ4/fo1b9684Y8//uDFixdcuHCByMhIOS8LvaZ7zWFhYUHHjh2xsbHBy8uLYcOGceTIEVxdXVm3bh29evUif/78dO3alVKlSmFra4u1tXUGLv1/r3jx4mTJkoVLly6xY8cOVq1aRd26dVm5ciWFChViz549bN++nXbt2vHw4UPOnz8P6Oc91efoDuaaPHkyo0aN4saNG1SpUoUKFSqQkpLCkiVLmDBhAqtWrVK+pw34FCpUiN27d9OzZ0/i4uIk2COE+CbJkU2I74itrS2QNnVF7dq19XqOeyH+ijZ1HxcXR3BwMHfu3CF79uwcO3aM3LlzExMTo5SB1oZdjI2NWb9+vVLNpnnz5mzfvt1gRpV9j20WQnybdEdhvX79mrdv3xIVFUWWLFmUh2DaCj4qlQofHx/27t3LtWvXGDp0KLlz5+bVq1esXLmSiIgIvL29qVevXkY26R/Tdqzlzp2bUqVKcfToUUJCQhgyZAgA+fPnx83NjXLlyrFmzRouXLjAjRs3yJo1K61bt8bFxYXGjRsD6PX1nO66BpQpeiwtLZXXS5YsScuWLdmxYwdWVlZUq1YtXfD00KFDBAQEcOHCBWbNmkXdunW/biPEf1SkSBGGDx/OL7/8wuXLl7G0tKRMmTIUKlQI+HM70AZ8jIyM8PDwACAwMJBJkyaRmpqKi4sLmTJlysCWfN7H+1hSUhImJiYArFq1ijZt2nwXgTPd/XnJkiWEhoZy6dIlIC2U2L9/f5ydnalYsSITJ04kISGBefPmMXHiRNasWUPFihUxMzNj586dvH79Gj8/v3TBB0N54PCt013Ply9f5uXLl7x58wYbGxucnZ2VSjSZM2fG19eXlJQUQkND6dmzJytWrKBSpUrfRFDr/v37hIeHU6dOHeXhX2pqKo0bN+bSpUu4ubkxbNgwZd+/cOEC7969o1mzZqhUKoyNjcmdO3dGNkF8gVqtJikpCXd3d65fv87QoUNxc3PD0tJSeQgaHx9PpkyZ2LRpE2q1mgULFihTdJmZmdG0adOMbsY/ot0fV69ezapVqyhfvrzSJ9C0aVP279/PmTNnWLx4MUOGDFGuw7TfO3r0KBcuXGDDhg0UK1aMihUrcv78eaUP4nPTnYiMoQ346FbwAdi9ezdmZmYUKlQIIyMjAgMDWbt2rVJJUzvIQKPR8PLlS3Lnzs2BAweUfmQh9MHH1+QfX2u0bNkSa2trbty4wZMnT+jSpQuFCxdOF+I5cOAAt27don379lhZWRnkNUuOHDlo0qQJGzZs4Ny5cwAULVqUcePG0adPH2W/jYuLIzQ0lPfv32fg0v5z2vWxaNEigoKCaN68OaNHj1YG/xw6dIhly5bxyy+/EBwcTKZMmXBxcQH+DPh07tyZ/fv3c+LECaXSsRBCfEsk3CPEd0D7kF9bavLBgweAzC0qDJNGo8HY2JiYmBhatWqlPFTQUqvV3Lp1i0qVKimvfRx26dq1K7t376Zjx46cOXMGY2Njvb6Z+x7bLIT4Nuk+NFy+fDmhoaHcvHmTmJgYcuTIQdWqVRk3bhwFCxbEzMxMKbM8c+ZMzp07x5gxY8icOTPW1tYULFiQefPm0alTJ0C/Qy5fkjVrVgYOHMjRo0fZuXMnbdu2VR4G5sqVi65du9KhQweuX79OSkoKefLkwdbWVglz6nObddf16tWrOX36NOHh4ZiZmdGwYUMqVaqEs7Mz+fPnp3v37nz48IHDhw8zb948rl+/TqFChXj69Cnbt28nOTmZ6dOn06NHD0C/2/292rRpE5cvX6ZEiRI8fPiQtWvXkjNnTrp27YqRkZGyzj4O+KjVary9vRk+fDiVK1fWy+oH2m3Nw8OD1q1bU7lyZQDGjRvHggUL+OOPPxgxYsQ3fV318QjaoKAgsmfPTrt27YiPj+fy5csEBgZy6tQpBg8eTJMmTZg2bRr58uVj27ZtXLhwgdu3bwNpocaZM2fSs2dP5be/5b+dIdFWNAHw9/dn/vz5REZGKu9XqlSJjh070rRpU3LmzEnmzJkJCAgAUAI+K1eupGLFiga1Xj8OokJaeMnCwoKkpCRUKhUpKSk0atTos8EegNGjR1O6dGmaNm2qhP+E/jp//jw7duygfv36jBw5EktLSx48eICfnx+hoaG4urrSqVMn2rdvz8aNG0lNTWXRokWYmZmlC3jq+3auu21rNBpOnjxJiRIlmDlzphLgyZ8/P+3atePx48ds2bKF6OhoXF1dqVOnDgBnz54lODgYW1tbzMzMyJo1K3Z2dty4cYNXr15RqFAhvf4bfC+061ob1tFuo9qAj0ajYevWrWTOnBm1Wo2VlRXR0dGYmppiYmKCpaUlNjY2mJubU7hwYWbNmkX+/PkzsklCpKN7PAsPD+fJkyfcunWLmjVrUqhQIfLmzQtA3bp10w0G0a22qa0Ga21tTatWrTAzM/u6jfgHPndtopUzZ07GjBlDlSpVuHTpErly5aJTp07kypUr3XSghw4dwsjICCcnJ0D/z1m6Hj9+TEhICFmyZGHUqFGULVtWuZ90cnIiV65cZM6cma1bt7J582bq1KlDjhw5SE1NxcHBgdWrVxMRESHBHiHEN0vCPUJ8Yz538actP1isWDFMTEx49+6d8p4hXdh9yZfa8C20TXxKpVKRnJzMwIEDuXXrFt27d6dp06a8efOGyZMnc/v2baZOncrixYvJlSuX8j3dsEtISAh9+vRh8ODBBtH5+j22WXw//qrTQnxbdB8OT5o0ieDgYKysrKhcuTKvX7/m0aNH7Nixg8ePHzNy5Ejq169PpkyZqF27NhqNhjlz5nD27Flq1arF4MGD+emnn5SH7voa9vjS9q27vJUqVcLJyYkjR45w69Yt8uTJo5QY15bO1512THe6FH1sM6Rf11OmTGH27NkYGxtjZWVFZGQk169fJ1euXHTs2JFJkyZRtWpVzM3NKV26NKtWrWLLli1A2sPVGjVq0K1bN1q2bAno77r+3rVu3Zq3b99Svnx5zp07x8yZMwkMDESlUtGlSxfUarUyfZzuPjFmzBiio6PJmzevXgZ7tKZPn86iRYu4du0aCxYsYPXq1SxYsIBWrVoplTq+Zdr2LV68mKCgIBo2bMjEiRMpXbo0AHfu3KFLly5cvXqVS5cuUaVKFbJmzUr//v1p06YNDx8+5PHjx+TKlYs8efIoFXtkf9Yv2nUxffp0AgICyJs3Lx06dCAlJYV9+/Zx8eJF7t+/z507dxg2bBi5c+cmc+bMBAYGAmkBn06dOrFq1SqqVq2akU3527SBpri4OC5cuKBcc5iZmWFra8uxY8c4dOgQs2bN+mKwZ8qUKTx48IC+ffvK1A96ZNasWZQvX14Jqeh68uQJWbNmxdPTEysrK54/f86CBQsIDQ2lW7duBAYGkpqaSps2bVi2bBmbNm3CyMiI+fPnp7uX1vdjv27IOm/evJw5c4Y+ffoowR7tdWqnTp2Ij49n2bJl7Nq1i127dikPx0+fPk1iYiJTp06lWrVqJCYmkpycTJkyZShQoIDe/w2+B9o+n4SEBDZu3Mhvv/2Gq6ur0jekDfiYmppy8OBB6taty+DBg6ldu7ayjejes+gG2ITQB7rh4zlz5rBw4UJ+//135b9/+ukn3Nzc0oXZtNMRar+3f/9+Zs2axYULF/D19aVRo0YZ05i/Qbdy+8qVK7l9+zYWFhY4ODjQsWNHAAoUKECXLl3o0qWL8j3dfoJVq1axfft2KlWqpAxM0Lfj9V/dB7x+/Zp79+7RokULypUrB6Rdp2qf9ZQtW5a+ffty4cIFDh48yMGDB+ncubPyez/++KPShyL3G0KIb5HcdQrxjdFetE6bNo3379+TJUsWihQpQtGiRXn27BmZMmXixYsXvHz5Ejs7u3QXdh+P6tG3i77P+XhqD+3Ik7x58xrE8ou/T3tzAxAZGcmNGzfo3LkzXl5emJubA1C5cmV69OjByZMn6devHwsXLkxXDl037LJkyZIMacc/8T22WXxfdAMA27Zto0qVKjKFwTdMe15euHAhwcHBNG/enJEjR+Lo6Mi7d+/47bffGDZsGGFhYXh7e5M5c2bq1KmDqakpdevWRa1W8+7dO/bs2UPPnj2VDhptx50+0m7fM2bM4IcffqBKlSoULFgw3fLa2NhQu3ZtDh06hL+/P46OjmTPnh34fHhHX9uqS7uuly9fTlBQEHXq1GH48OEUKVKES5cuceDAAXbt2sWsWbOIiYnB19eX8uXL4+DgQLdu3bhx4wZxcXHY29uTI0cOsmXLBkjHnL7Q3ifo/m/mzJkZPnw4kDZNV2JiInPnziUgIACNRkPXrl3TBXzu3LnD+/fv+emnn/Dy8lJ+W1/XcYsWLbh9+za7d++mUaNG/P7777i4uODm5kbx4sUzevG+Cu0I2hw5cuDu7k7p0qWVbWD79u3cv38fZ2dnmjVrRtasWZV1mTNnTnLmzEmVKlXS/Z4+H7u/N7r7XXh4OCEhITRt2pRx48ZRqlQpANzc3Fi0aBHr1q1jzZo1WFlZMXToUKytrbGysmLmzJmkpqayefNm7t27ZzDhHrVaTUJCAo0bN8bOzo7atWujUqnInTs3HTt2xMfHR3mQNmHCBHr37p0u2LNy5UrWrVtHtWrVaNGihWzTemLHjh14eXlhY2PD2bNnP7m/qF69OkFBQUp16xMnThASEkLbtm2ZM2cOkLZtVKpUiSVLlmBjY8OGDRvIlCmTEmYzFCEhIQwbNkzZl7XVLbR9adr939XVlaJFi7J7926WLl3K0aNHMTIyomjRogwYMIDu3bsD4O3tzfPnz2ncuDHJycmo1Wrpe8tA2r6emJgYevXqxYEDByhWrBg1atTAzs4OQJmiS1vV5+jRo1haWmJpaak89E9JSVHWpYQUhT7RvUbRVo8sUKAAU6dOxcLCgpMnT7Jjxw7u3r3LzJkzady4sXJ/AnDs2DH27t3L6tWrMTMzIyAggF69en3y2/oiNTVV2adbt27NxYsX071/+fJlRowYoRzLddug/d9Zs2axcOFCjI2NCQ4OJkeOHF+3EX/DsWPHWL9+Pf7+/ummTdN6+/YtiYmJyrTe2nOW7vmmUqVK9OjRAy8vL8LDw+ncufNn/7/0bR0LIcT/glytCfENCgkJ+aTDwcTEhEyZMvH+/Xvu37+Pm5sbFSpUIHv27Dg4OGBra4utrS3W1tYGM0pDN7kfFBTEpk2buH37NnZ2dtSvXx9PT0+yZMmSwUsp/leMjY2Jjo5m4cKF/PDDD7x69YqBAwdibm6ulFktUqQIq1evpkePHpw4cYL+/ft/NuxiKL7HNovvi/bGPDg4mEmTJnHmzBly585tMAFT8c89e/aMNWvWkC1bNjw8PJQHDTY2NmTJkoVVq1YxfPhwjhw5QkBAALVq1UKtVmNiYkLt2rWZOHEisbGx1K9fX/lNfd9WNm/ejL+/PwCOjo7Ur1+fQYMGYW5ujoWFBQD9+/dn586d3L9/n3v37pE9e3aDrGqlG0oF2Lt3L2XKlGHGjBnppn+oWrUq5cuXZ+rUqSxZsoTChQvTv39/VCoV+fLlI1++fMpvaDtmJQigH3S3y5SUFGJjY8mcOXO6+4f8+fPTs2dPVCoVwcHByrQ92oDPlStX8PHx4d69e2zdujXdlB76uo7Lli3LrFmzuH79Ok+fPiVLliw0bdqUEiVKpBsd/C17/vw5d+7cYcCAAZQvXx5IO/76+Pjg6+uLs7Mz48ePV0bXvnjxgty5c3/x76Lvx+7vhe62++LFCxITE4mMjGTQoEHKOTo5ORk7OzuGDh2KpaUlc+fOZcuWLTRr1gxHR0dSUlKwtLRk5syZdOzYkXr16mVkk/6xe/fu8fDhQ27cuMH58+eVh909e/bk5s2b7Nq1i+zZs1OqVClsbGyUB2naqcvMzc2ZPXu28iBdZLyWLVvi4uJCsWLFyJ07t7LOtPcYBQsWJG/evBgbG6PRaJg/fz62traMGzcOgPj4eMzNzSlYsCD29vYMGjSI4OBgZTpBQ1KlShXq1q3LuXPniIuL48CBAzRt2pRMmTIB6Ssh1K5dm9q1a+Pq6kpCQgKmpqZYWVlRoEABAJYuXcry5cspUKAAQ4YM0espbb4HKSkpSgigadOm3Lp1i/bt2zNt2jRloID2c0ZGRtSuXVtZ33v27FGmf69QoUK6qXzk/Cz0ifYaZeHChcydO5fGjRszZswYHB0dSUpKIioqir179/L777/Tv39/lixZgrOzs/K9d+/esXTpUpycnOjVqxfOzs6AfgZ74M/QcefOnbly5QouLi44OTnx+++/4+vry7Jly3j37h0TJ06kUKFCShuioqK4evUq/v7+nDx5Ent7e1asWEHRokUzuEXpaTQaoqOjGTJkCL/99hvly5enf//+n3zOysoKgHPnzvHo0SMKFy6crp9Q2++gDelqKzlJX6IQ4nshT/uE+AbVr1+fQ4cOER8fz+3bt3nw4AFv377lxYsXRERE8OrVK/bu3cuePXuU75ibm2NlZUXevHmZO3cuZcqUycAW/D3aC1gvLy9mzZpF5syZKVy4MC9evGD16tU8efKEKVOmULZsWbmw+wakpqbSv39/9uzZo5T6t7S0BP6sjJCamkqhQoVYuXJlurDLokWL0k1XZSi+xzaL709ycjJPnjwBYNGiRcyePVuO2d+wFy9ecPPmTVq1akWpUqWUzmZtRY/8+fMrU76cPn2apUuX0rdvX2V6qkaNGinbh752yH2sUaNGBAQEcPToUQ4cOEB4eDj79u2jQoUKDBo0iCJFimBiYkK9evW4cOECS5YsoWrVqgYX7IE/w6Rz5szBycmJuLg4fv75Z+zt7UlNTVWqdeXKlYv27dsTHR2Nr68vv/zyC927d1fCTrq061uOCxlPN9izdu1aDh8+zM2bN8mSJQslSpSgXbt21KhRA4B8+fIpo/znzp2Lr68vkZGRlChRglmzZnHu3Dm8vLyUDllDsHbtWh4/foydnR0vX75k4cKFFCxYEEdHx+9i+3zw4AFJSUnpRtf6+voqwZ4JEyZQtmxZIG1Kj5EjR9K+fXvatGmTUYssPkP70EN7DtVuu+PGjWPDhg1UqVKFQoUKpau8ow1A2Nra0qNHDy5fvsy+fftYvHgx8+fPV44LmTNnVoI9hnKOBihTpgy9e/dm1qxZrFu3DgcHB8zMzMiZMyeDBg0iKSmJ/fv307NnT9q2bUtKSgp37twhPDycAgUKsHHjRr17ePY9i4uLw8LCgsWLFwPw4cMHunbtyogRI6hdu7byOe01y+PHj7l37x6Ojo4UKVIEQKmSu379et6+fUvr1q1xcXFJF4AwBKmpqRQrVgx/f3/GjBnDsWPHCAsL4/z580rQA/68xtIeH7SBbK0PHz4QGBjIypUrMTU1ZcOGDRQsWPCrt0ekZ2RkRHx8PJ07d+batWu4ubkxcuRILCws0j3g1r2nqFmzpvLeoUOH+PDhA1OmTMHR0TGDWiHEfxYeHs6SJUuwt7dn1KhRODo6kpCQwOLFi/H39ydPnjzUqlWLkJAQ+vXrx4IFC5Rpt1q3bk3x4sXJkiULefLkAfTzGkV3kMzFixe5efMmw4YNw8PDQxlA4ejoyLhx49i6dSuAEvCBtHDPkiVLuH//Pt26dcPNzU0JZuoTlUpF5syZWbBgAVu2bKF9+/YAJCYmpjvHVqtWjXr16nHkyBGmTp2Kt7c3dnZ2ShVY7d/qjz/+QKVSKdef38M9mRBCAOjXWUwI8T+RJ08eKlasSI0aNejduzfe3t4sWrSIBQsWkCdPHmxsbHBzc2PlypWMGDGC9u3bU65cOWJiYmjZsqVBBHu0du3apaTyd+3axdGjR9m1axcODg4cO3YMd3d3rl69qoz6FoZLrVbTpUsXSpUqxeXLl3ny5Am//PLLJ5/RDbs4ODhw4sQJOnTowMuXLzNoyf9732ObxffH2NiYwYMHkyNHDi5cuMBvv/0GIMftb4C2whikddYASlllbWeabmezWq0mOTmZvHnz0q9fP+DPEVgfP3zQfU2faTQarKys6NWrFwsWLGDPnj00btyYDx8+EBISgpOTE+7u7hw/fpzevXuTPXt2jh49ysmTJzN60f9rq1evxtPTk2bNmhEREaGsY7VanW5929ra4uTkhK2tLYcPHyY8PDyDllj8HbrTKHp6ejJ48GC2b9/OixcvuHDhAiEhITRv3pwlS5bw/v17IK2CT48ePRgxYgSRkZFMmjSJrl27cv78eaZPn86QIUOU39ZHHy9X0aJFleoNzZs359y5c4wZM+aTbVdf2/Nv2djYABAREQFAQEAAPj4+nwR7ALZs2cLBgwf5448/MmRZxeedPXuWgIAAYmNjlXsISHtw//r1a969e8eZM2eIiori4cOHAMpntFNcZMuWjWHDhmFubs6vv/76xf8vQzhHw5/t+/nnnylYsCAnTpwgOjpaud746aefmDFjBkOGDMHExITNmzezceNGoqOj6d27Nzt37qRkyZIZ2YS/pHst9q07evQoABYWFiQlJSmvBwcHc/z4cQYOHMjZs2c/+Z5GoyE+Pp6rV68qvwGwatUq9u7dS82aNTEyMtL7YI9upcOPX//hhx/w8/Ojbt26PHz4EF9fX65du/bJZz/3UDQqKoquXbsyZ84cihUrxt69ez8J/4ivQ3u80rVlyxaOHz9Ou3btGDVqlBKUV6lUPHnyhHXr1uHr68upU6eIiooCoFatWowYMYJy5cpx7do1vZyyRwhd4eHhPHz4EA8PD3788UeSk5NZuXIlfn5+2NnZceTIEWbNmkXdunWV6oMHDhxQvl+6dGkl2KOP1TZ1p+J68OAB79+/JyUlhaFDh2JiYqKc02rWrElAQABly5Zl69ateHl5Kddi+fLlw9PTk3Xr1jF9+nS9DPZoaTQaatSoQWBgIFmyZMHNzY2uXbvy4cMH4M9rl4EDB1K4cGH27NnDjBkzePHiRbpg+sWLF1m6dCm2trZKtUkhhPhe6NeZTAjxj3yp41i3A0f3M3nz5qV8+fK8f/8eZ2dnWrZsyaRJk1i4cCEHDhzgxo0bjBgx4i9/O6N93Dl15coVMmfOzIQJE3BwcMDc3BxHR0eWLl1K/fr1OXfuHOPGjZOAzzeiUaNGTJkyhWLFigGwY8cOHj16lO4zumGXVatWUbBgQa5evao8WDY032ObxfclNTWVHDlyUKVKFSIiIjh8+DAgI24M3cdTZ65Zs4b3798r1cf27NnDpUuXPvme9jv58+cH0ipFaH9P331uGXW348yZM/PTTz8po9R69uyJjY0NK1asoFWrVowdO5b8+fMTGRnJiRMnvuai/ysft7tr167UrFmTd+/e8f79e27dukV8fPxn/z7lypXDyckJgMjIyK+xuOK/pN2WV6xYwbx583BycmLnzp1cvnyZ0NBQXF1dARgzZgwrVqxQrtnz5ctHv379WLZsGdWqVaNTp06sWLGCgQMHAiijL/WN7nK9evUKgKZNmzJ27FicnJyYMGECjRo14uLFi+kCPrrfe/ToEfHx8Rmy/P8LH987VaxYkVy5cnH8+HE6derE9OnTadiwIWPHjk0X7Dl9+jQBAQGUKVOGWrVqfe3FFl/w4sULunfvjre3NwsWLCAuLk6ZniVz5sxMmTKF3r178/79e168eMGhQ4eAP6fs0ZUtWzblN+Pi4r56W/6XtA/4ChcujIODA7/++iuzZs1S2qxSqShcuDBeXl4cOXKEw4cPs3PnTg4fPsz06dP1vnqJ9rpq0aJFygPAb7FfZOzYsbRp04YZM2YAadPSa89D48aNo3Pnzjx//pwePXpw5syZdN8tXLgwQ4cOJS4ujpEjR+Lp6UmPHj0YM2YMarUaDw8PvZ9+KiUlRTn3xMbG8vvvv/Ps2TPi4uKU17UBn/r163P+/Pm/3U9mbW3NxIkTCQgIICQkROmXEF/Phg0bePjw4WcDCZcvXwagX79+6bZTPz8/OnTowKBBg/Dx8aF169asXLmShIQEAGrUqIGXlxcnTpwgb968X6chQvyX7Ozs8PLyolmzZgAcOXKE4OBgbG1t2bNnD1mzZkWlUlGhQgUA3r59S8+ePdPNWKClj/cdarWaxMRESpYsScWKFdm0aRPVqlXDxsYGjUaDiYmJcqyuXLky/v7+lCtXjm3btuHl5cWjR4/QaDQUKVIER0dHZUorfadSqXj69Clr167l4MGDjBkzhujoaOXapWLFivTq1YscOXKwevVqOnTowLZt2zh16hShoaGMGTOG27dvM27cOGVKVSGE+F5IuEcIA6XbcZycnMzvv/+uPBTRHRWtW14XIGfOnADcuXMHQEl/p6amYmtr+8lv6wPdQI+2baNHj2bFihXExcXRoUMHypYtm24e9aJFi+Lv70/9+vU5e/YsY8eOlYCPAfncetJuBw0aNGDq1KmUKFGC/fv3M3PmTKXSh5Y27FKwYEF27txJWFiY8qBYX32PbYbPt1v20++LWq0mU6ZMtG3bFkgrf//69WvZDgyctvPZz8+PyZMn88svvxAXF0fFihVp2bIliYmJbNmyRZmSDdKuZ7TXH+/evQNQHgzr2+i6j6WkpCjL+MsvvxAcHEyXLl3o27cv27dv5/79+8pnra2tKVasGDNnziQ0NJSAgAAKFCjA3r17CQsLUz5jCHRLmmurPKhUKnbu3EnNmjVJTU3l4MGD3Lp1K12VCO0UXfDnMV9bFUTol4+D9WfPnqVYsWJ4enpSs2ZNcubMiZOTE4GBgUyYMAGAKVOmsGvXLuU7tra2NGzYkB07djBr1ixatmwJ6GdJfEi/P2/evJkhQ4YwevRoACWgWKxYMby8vD4J+Gi/Fx4ezogRI3BxcUlXQUKffRzA+/h+0M7Ojt69exMbG8u+ffsoX7487u7uODo6Kt89e/Ysvr6+PHv2jCFDhlCiRImvtvzir1lYWDB8+HBy5cpFcHAwc+fOTffgP0+ePAwfPpy+ffsCMGnSJHbu3AmkbQu64YF79+4RHx9P9erVlelf9F1ycvInr+mekywsLHB3d8fW1pbz588rob7U1FTlc8WKFaNs2bLUrFkTGxsbva/korVgwQI8PDwICQkB9PPB5r9VqVIlAPz9/fH29gb+nLII0qaH7NixI69evaJnz55KwEe77bZv356uXbvy66+/MmfOHHbt2kWpUqXYsWMHP/zwQwa06O/TnTJz9erVuLq6UqdOHerWrUvXrl2ZN2+e8tkiRYooAZ9/0k9WoUIFXF1dZdrvDLBixQoGDBjA6NGjlaoWurTr/vXr18TExHD16lWaNGmCt7c379+/x8PDg65du5KcnIy/v3+6gWJVq1Y1iD4jIRo3bkynTp2U/w4NDSUyMpJly5aRJ08e4uPjUavVVKlShRIlStCiRQvi4uIMqpq5qakpDRs2BNJmKXj69CmvX79ON0W1bsDHz89PCfi4u7un61fRJx+fX3T7fFJSUsifPz87d+6kYMGCbNiwgZEjRyrHOhsbGzp37syYMWOUSmOurq40b96cfv368eDBA3x9fendu/dn/7+EEOJbpn89aUKI/0i3wzkkJITOnTtTvnx5qlevTufOnbl9+/YnFTu0FzilS5cG/nwAo523Va1WK7+pL53sd+7cISEhASMjo3SdzWfPnmXp0qWMHDmSjRs3KqEmbWlG7QVv4cKFlYDPuXPnmDhxogR8DIC24zg1NZWoqChu3LjB69eviY6OVj5Tr149vL29KV68OGvWrMHX1/eLYZcCBQoocxDrq++xzfDldmvLRYtvx5emBNB9YFK/fn1q1KhBREQEL168SNd5IQyH7vn69u3brFmzhsaNGzNmzBjlgYCzszPZsmUjJCSEVatWcffuXYB0c8wvXbqUrFmzUq5cua/fiH9It0qRj48P3bt3x9PTkz179rBp0yZ69eqFm5sbW7ZsAdI65rQP++3t7enVqxebN28mODgYe3t7pk2bpkxXpO+014xDhw6lUaNGynRMADt37qROnTq8fv2abt26cfv27XTXmiqVigsXLrB//37y5s0rD4z0lHbbXrFiBVu3buXEiRM0b95cKX2u0WiUY7ybmxtubm5AWjDg8ePH6X5Lu49r6cs9hy7dh6Te3t4MGTKEkydPYmdnl26KKZVK9UnAZ+TIkVy7do3z58/j6enJ8ePHqVevnnK/pc907y8vX77M+vXrmTp1KitXrlSqAqjVaho0aICTkxOmpqZERUVx6dIloqKiePLkCSEhIQwcOJCTJ08yadIk2rVrB0hHu76wtbWlU6dOjBw5EhMTE+bNm6cEfLTy5s3LsGHD6N27N4mJiYwZM4bNmzcDfx4Lzp8/z+zZs4G08zkYRljE2NiYDx8+4OPjw7Fjx5TKRZC2baekpJA7d25++uknLl++zN69e5X39PFY9U9UrFiRTJkyERYWRmxsbEYvzv+JNm3asHbtWiAtWK4N+JibmysBn/nz538S8NFuu6VKlWLGjBmsWbMGLy8v1q9fT2hoKMWLF8+YBv1Nutegnp6eDBs2jFOnTlG4cGHs7Ow4duwYEyZMYMCAAcrUuEWKFPmv+sn0bT/XXd5v+TxTokQJypUrR61atcicObPyuvaeS3uv1KFDB2rXrk3Dhg25desWPXr04NixY7i7uxMUFETTpk2Jjo5W7ruE0Ddf2o+14Vxt1cAbN26wZcsWypUrh4ODA4mJiZibmwNp17Bv3rzBx8eH/fv3K5VF9Z12f166dCndunUjNTWVGzducPr06XTvfxzw8ff3p0CBAhw7dkwv7zd0B49r+7e194PBwcGsXr2axMREfvrpJ5YuXUrevHnZtGkTbm5uSsDH1taWjh07snnzZkaOHEmHDh2oUqUKkydPZt26dUooXd8GqgshxP81VWRk5Ld7BSzEN0h3hOuUKVOYPXs2mTJlokyZMrx//547d+5QsmRJRo8ejZOTU7qbP0gbRVq3bl06duzI/Pnz0Wg0ennxc/nyZRo0aEDlypXZvXv3Jw8DgoKCmDx5MgA///wzc+fOxczMLN3fR9u2R48e4eHhwcGDByldujTbt28ne/bsX71N4j9LTk7G2NiY2NhYpk6dytmzZ7l9+zbZs2enZMmS9OjRQynDCnD06FE8PDy4e/cuXbp0wd3dnXz58mVgC/6577HN8M/bLb4N06dPx8TEhIoVK1KvXj3lde3DVE9PT+bMmUObNm2YN2+e0kkjDIPuOfjNmzecPHmS3r17c+DAASpWrJjufR8fH+bNm0dycjLly5enXbt2lChRgkePHrFgwQJu3LiBv7+/MgrLEEybNo3AwEB+/PFH+vbtq4z+P3DgABEREeTJk4dx48Ypow51p/zQ0v0b6WtVk49pNBqqV69ORESEMsVYfHy8sv+2adOGo0ePkjt3biZMmIC9vT3ly5dn//79LFiwgBMnTjBr1ix69OiRsQ0RXxQaGkq/fv2oUKECr1+/ZsiQIfTu3Vs5l8Ofx/HY2FhatWpFREQE27Zto2LFihm89H+f7n3R5MmTCQoKonbt2ri7u1O1atUvfu/u3btMnTqV3bt3A2BmZkZCQgJTp05l8ODBn/y2vtE91vj5+TF//vx0QT0bGxvatGnDzJkzAbh06RLLli1jx44dxMXFkTVrVuLi4oiLiyNXrlx4eHjQvXv3T35b6IfIyEg2b96Mr68vSUlJDBo0iMGDB2NhYaF85sWLFwQGBrJs2TIgraqJnZ0dJiYmbNq0iefPnzNlyhRlej1DkJKSQqNGjbh06RJWVlaUK1eO0aNHU6RIEQoUKKB8bsuWLfTu3ZuyZcuydu1ag69qodFoePnyJV26dOHy5cusXbuWJk2aZPRi/U9pNBo0Gg1qtZq9e/fSuXNnIC1wqq0op3tdMnDgQNavX0/OnDlZsWIF1apVy7Bl/18JDg5m0qRJNGjQAHd3d+Xce/36daUK5rRp0xgwYACQFloz5H4y7fVHQkKC3k+Z9m9pNBpev35Nzpw5iY6OZurUqfTv35/ChQsrnwkODmb79u08fPiQunXr0qVLFypXrqxUGwRo1qwZjx494sCBAwbZfyS+bbrh+mfPnpGYmEhycvJnpwHUHtccHBw4dOiQEmq5cOECQ4cOpVixYixfvlx53VCuRZOSkpRlHjlyJCtWrMDIyIjdu3dTpUqVzz7vgLTnJ9myZdPrAZ49evTA0dGRPn36YGlpydixY1m4cCFDhw5lxIgR2NjYoFKpuHTpEj169ODZs2e4uLgQGBhI5syZP7mP+vi/DWUdfy8+tz70+V5YCEMl4R4hDIjuidDf358ZM2ZQq1Ytxo4dS5UqVXjx4gWurq6cO3eOH374gVGjRtGsWTNlrtWUlBSePn1K+fLlKVasGEeOHCFTpkx6eQGkDSHVrFmT9evXKzelup0yc+bMwdPTE4DZs2d/thNZ+zd7+PAhAwYMoFmzZgYzGv57o72Zi4mJoXnz5oSFhVG0aFEKFCjAu3fvlKlKvLy8GDx4sLIv6IZdunfvzsiRI9N10Oqz77HN8M/aLfurYdPtpDl48CDt27dX3nNxcaFGjRq0adNGOU+9evUKJycnLCws2L17N9mzZ5ebQAM0duxYjhw5Qv369QkLC2Pfvn1KVQjtwxdI64jetGkT169fV76rVquxtLRkwoQJyigsQ9gG9u7dS/fu3alevTre3t7Y29sr7124cIGVK1eyfv16SpQoga+vL7Vr1/7kN3TDPobQZvhz3axevZphw4bRtWtXgoKCgPQdlNqAj6WlpRLoOnfuHPnz52fw4MEGta6/R9qw3dGjR/nw4QN16tQhNDQUExOTdOtMo9GQnJxMnz592LFjhxLQM7T1umLFCkaOHImTkxOenp5KlSKtxMTET6bjiYyMxN/fn8OHD1OgQAHatWuHi4sLYDgdzlOnTmXmzJmULVtWCXv8/vvvBAYG8vLlSxo2bMiGDRsA+P3337l16xZLly4lPj6euLg4WrRoQeXKlfnxxx8Bw2n39+jvBHyeP3/OnDlzWLx4MZA2XWSpUqUoVKgQzs7OtG7dGjCs9Xzq1CmlMtWdO3ewsrLihx9+oHfv3tSvX5/cuXMDaWGmEydOsGHDBmrXrm1QbfySRYsW4eHhoQToTU1NDb5NWtr7De3/rly5khEjRgD/LOBjaOcqrbt37+Li4oKRkRGrVq2ibNmyynvz589n/PjxNGnShKFDh1K5cuV03zXkfrKYmBjq16/P2LFjlek+v2UajYZ+/fqxadMmGjdujI+PT7o+oKioKKKjo8mTJ88n3128eDETJ06kefPmzJkzJ13oR4iMpttnFBQUxIYNG3j69ClqtZr27dvTr18/ihQpohyfExMTqVevHjdv3qRXr14MGDCAGzduMH/+fK5cucKCBQv4+eefM7JJf+mvril033Nzc2P58uV/K+Cjz7SDRHLlyoWnpycXLlxg+fLltGjRgrFjx1KyZMl0/SBfCvhoK/Noq79r/y30i3Z/TkpK4syZMxgZGVGjRo2MXiwhvkkS7hHCAO3Zs4fBgwdTtmxZpk2bRrly5YiNjWXdunVMnDgRc3NzYmJiyJs3L+7u7jRt2lSp4BMbG4uDgwNubm70798/g1vy13799VeyZs2KtbU1oaGhtGjRAnNz83Sjc7QjlAAWLlyoPDj+3AXv+/fvsbGxSfea0C8JCQl06tSJo0ePMmTIENzd3bGwsEClUrFw4ULGjh2Lra0tISEhVK9ePV3YZfz48URERNCnTx9mzJjxSbUnffU9thn+WbvlRsAwfNxJoftgf//+/TRs2JBLly5x+fJl5syZw7t370hISKB48eK0a9eOqlWrUq1aNXr06MGOHTsYP348o0aNyqjmiP9SZGQkHTp04Pz585iammJhYcGZM2fSdTTrbivh4eGcPHmSs2fPEhMTQ7169ShfvrwyyljfH6hprye0VT42b95M/fr1AdJVNbl27RoBAQHs3r2boUOH4unp+U1di9y6dYtGjRrx4cMHdu3apRy3df8GLVu25MSJE5iamioVJlUqlTKdgL6v6+9dRESEEl4xNzdnxowZtGrVCmNj40+qUI0ePZqVK1eyefPmzwbZ9FlMTAzt27fn5s2bbN++HQcHB+W9iIgIrly5wpYtW7C1taVly5bUqlWLLFmyKJ+JiorCxMRECUkYyna9ZcsW+vXrR40aNZg+fboylTOgTIXs4ODA7Nmz001Toz2OfdxOfT2+6R6Tvnd/N+Aze/ZslixZQunSpfHw8EhXWdNQtu+Pl/P9+/csW7aMs2fPcvjwYQAcHR2pUaMGQ4cOZenSpfj5+VGlShVCQ0M/qYasj7Rt/Ph4rN0Xnz59iouLC+/fv+fw4cPkzZs3Ixf3f0a3GqyXlxdnzpzB1taWkydPKp8ZPXo048aNAz4f8MmbNy/z5s0zuPOV1oEDB+jQoQM+Pj7069dPed3HxwdfX1+cnZ0ZP368cr3166+/pqvwYKj9ZL6+vvj4+BAaGoqTk1NGL87/Ce32rV0v58+fZ9KkSVy4cAFnZ2dlSh7tfq8dRKF7rluyZAmBgYGYmZmxY8cOva7uIb4PJ0+e5NmzZ3To0CHdMcfLy4tZs2ZhaWnJDz/8QEREBElJSdSrV4/hw4dTrVo1JQS0bds2PD09efLkiRLuhLQpdbXPOvTxeKZbdezQoUOEhYURExODlZUVP//8M3ny5MHa2lr5/H8K+BiC9+/fs3z5coKDg0lISCA2NpbGjRszY8YMChUq9MlAkc8FfGbOnKkMCBT6S/eabNiwYezatYtatWoxbdo0vZ/mVAhDZDhnAiEEkHZRtHbtWjQaDWPGjKFcuXIkJSWxfPlyJk+eTJ48eTh06BCdO3fm119/Zc6cOezZs0eZ2zQ1NZUlS5aku9jVV4UKFcLa2po5c+bQr18/+vTpowR7EhISABgyZAhTp04FoH///mzcuBHgsx1bhthh8b3Zvn07R44cwcXFBQ8PDzJlyqSsq127dpE5c2a6dOlCmTJl0q3DunXr4unpSYUKFejZs6dBddp/j22Gf9ZuYRi0HQxBQUHcuXNHCfaMHTuWjh07snHjRipVqkT//v3Zu3cv69evx9nZmTdv3jBt2jSaNm3K5MmTMTc3R61Wc+bMGd6+favX5ynxKVtbWxYuXEjDhg2Vjqvdu3cTHx+vfEb3HO3o6MiQIUNYt24dW7duZdiwYQYT7IG0a4r4+HiOHj0KQM6cOZX3dEMP5cqVo2XLlmg0GpYuXcqLFy++qWuRUqVKKdV3bt26BaT9bYyNjUlOTgZgx44d1KxZk8TERFavXk3BggUpV64cKSkpBrGuvwe6D4e0tJ3l9vb2jBo1ivr16/PmzRsWLFjAgQMHiI+PV6pNAZw7d45t27aRI0cOcuTI8fUb8S+9fv2a06dPU65cuXTBnrVr19K7d28GDx7M0aNH2bZtG+PHj2fv3r1A2ihiSKtuog1H6FYq03dHjx5FrVYzatSodMGeGTNmsGLFCmrWrMn06dM/6ZjVbh+QfrvRx+NbSkoKxsbGxMTEsG/fvnRTj32rPrdPp6amAmnn659//hl3d3dMTEyYN28ec+fOJS4uTvlsnjx5GD58ON27d+fmzZtMmDCBffv2Ke/r43qG9NslfNrnYWNjw4gRI9i0aROLFi2iWbNm3L9/n7lz5+Li4sJvv/2Gra0tt27d4sqVK19z0f8ruudQ7TFZS9v2PHny4ODgwO+//87ixYuV7cCQpaamKvt0s2bNWLduHXZ2dvTv359Ro0bRrl07IK3qtbe3NwDm5ubKNen8+fPp0qULz549Y9SoUem2fUNy7949gHRBU19fXyXYM2HCBCXYExMTw8yZM9m5c6fyWUPtJ8uWLRsAjx49AvgmtmlduucsPz8/rly5QuXKlfH29qZSpUocPHiQ0aNH8+TJE2W96R4HXr9+zeDBg5kyZQomJiZs3LhRgj0iwz158oQWLVowYMAAQkNDlW13z549LFmyhEaNGrFr1y6OHj3K9u3bqV69OkeOHGHGjBmcOnVKOb83aNCA4OBgnJ2dKVeuHF26dGHdunXKsw5tZRd9ortPd+vWjV69ejFz5kwWLVpEYGAgXbt2xdvbm2fPninfCQwMxNXVlZSUFJo1a8b58+dRq9UGc7xLTU1VrrkKFSpEYmIiZmZmlClT5rPTnmrvKStWrMjKlSvJmzcvmzZtYtiwYXz48CEDWiD+Lu32HR0dTatWrZS+nxkzZlC0aNGMXjwhvkmG0dMkhFCYmZnx6NEjOnfuTI0aNUhJSWHTpk3MnDmTHDlysG/fPooWLcrQoUPJkSMHt2/fJjAwkJ07dxIZGYmVlRV16tQB9PNi93OqVatG/vz52b17N3379v0k4DN48ODPBny0o0g/Zght/l6dO3cOExMTRo0alW7Es5OTE2fOnKFv376MHj0aW1tboqKiePLkifJdZ2dndu7cmW4qFEPwPbYZ/l27hf4aNWoUkydPZu7cubx//54pU6awcOFCWrRoQcWKFZXPFS5cmLp16yqBjokTJ1KwYEHmz5/Pxo0bSU1N5cSJE0RERMgx20BoHx6lpqZSqFAhfHx8qFGjBvHx8axdu5bw8PDPPvjVfU07Ek/LEB6Kq9VqzM3NKViwIGq1WumM0wZadEMPbdu25ccffyQ1NVUJAhiKLz0o1V1/2n08KCiI58+fK+tYN+Czc+dO6taty9OnT6lRowa//fYbRkZGBtNB+S1LSUlR1llsbCzPnz/n1atXREVFKZ8pVaoUY8aMoUWLFly5coUZM2YQEBDAy5cviY+P5/Dhw0yfPp0//viD0aNHfzKdlb7R3e50Aw/Fixfn119/5fTp0xw4cICRI0cyePBgHj16hKenJ1u3bqV79+48e/aMTZs2AXwyTRcYzj3HH3/8wbFjx7C3t09XLdHX1xd/f3+l6kP58uWBtApG+/fvB1DC5Wq1Wq/bq9FoMDIyIjY2ljp16tCpUyeDCG38G7r7dGRkJA8ePODRo0f89ttvymdsbW1p06bNfwz4uLu74+rqyuPHj5kwYQKHDh0C9HMbT05OxsjIiISEBHbu3ImnpydDhgzB29ubX375haSkJOVzAO3atWPu3Lns2rWLZs2a8ebNG9atW0dkZCTR0dEUKVIkI5vzt2ivl0aPHk316tVZt24d4eHh6d4zMjJi+PDhZM2alStXrijtN+QQvbZCyeDBgwkLC6Nv376EhITQpEkTxo8fz+zZs5k3bx4Afn5+zJgxA0CpBg1plaB79erFypUr01WtMiTaSkRv3rwB0kKZPj4+SrBHd5quNWvWEBIS8tlrbH3cn/+KNqiind7X0Jb/PzEyMiIuLo5GjRrh6+vLpUuXgLSBET4+Pp8N+GivZU6fPs2PP/7I2rVrqV69Ojt27KBkyZIZ2RwhAChQoABubm4A9OvXj/Xr1wMQFhaGjY2Ncr2pUqmoVq0avr6+tGrVinPnzuHj48OpU6dITk4mc+bM1KpVi40bN7J//37mzJlD48aNAf0cIKR7Hdq0aVN++eUXnJycWLhwIcHBwVSpUoV3794pVcx1r9V0Az6NGjXi0qVLete+L9EGkU6fPk1YWBgFCxbE1NSUVatWsXLlSt69e/fZY7duwCdnzpxs3bqVCxcuZEALxN+h3b7j4uJo3bo1YWFhDBo0iNWrV38x2CP9P0L8e4Y1zF+I75xGo8Hc3JwDBw4oN+5//PEHK1aswMzMjNDQUHLmzElcXByFCxemZMmSZM6cmZcvX+Lh4UHFihWxtbVVfs9QLgYrVarE6tWr6dGjhzLCaPHixUrAx8zMjMGDBwMwceJE+vfvT0pKCp06dTKYNn6PPh4ZlpCQwMOHDzE1NU33kFh78+Lm5sawYcOUsugPHz4kMDCQiRMnKqOIM2XK9PUb8g98j22G/5t2C/2TkpJCjRo1CA8PZ/369Vy6dInbt2/j4uKCm5vbJzd1qampGBkZ4eDggIODA23atOHJkyfMmTOHFy9eEBERweLFi3F0dExX2Unoh487zT4eMVqoUCH8/PwAOHjwIJMmTcLX1xdHR8d069KQ1uvnOgoTEhIwMTHBzs6O1NRU5s2bh7OzM8bGxsp845B+6hpAqWxlKLTtWLBgAfb29jg6OmJra6uEl1QqFY0aNcLZ2ZlDhw5x6dIlWrRoofwNtAEfY2Njtm7dSps2bTh69CgtWrRg27ZtFCxYMINb+H3T3VZXr17Nrl27uHLlCiYmJuTJk4dOnTrh6uqKWq3G3t4ed3d3VCoV+/btIzAwkMWLF2NjY8OrV6/IkSMH/v7+9OzZE9DfSgAf78/ah8SWlpbUq1ePhQsX0rp1a5KSkrCwsKBt27b06tWLqlWrAmnVuEJDQ3nz5g1xcXEG+1AY0qbRTEpKIi4ujpiYGCwtLdNN5/Lxw+ElS5Zw//59KlasSPbs2TNwyf8+7fF38uTJvH37lv79+1O5cuWMXqz/M7r79LJly9i8eTPh4eGo1WoyZ85M9+7d6dGjB7ly5SJr1qy0bdsWSAt0acMQulN05c6dW5kqdfny5fTr14+lS5dSr169DGjdl308Kv7YsWPpHh5YW1tTv3595s+fj7m5OYmJiZiammJtbY2joyMLFy7k9evXzJ8/n7CwMObOnfvZkeX6Qnc937t3j1OnTvHo0SOGDh1KpkyZ6NGjB3Xq1KF27doYGRmRK1cuChYsyKlTp9i0aROdO3fWy+PzP/Hq1SsuXryoVJczNzdXpga2sLBQ+oQGDBiAv78/qampTJgwATMzM2WKroCAgIxuxr9Srlw5zM3N2bhxI8+fP2fevHk4OTl9cuw+ceIEwcHBVKhQwaCq4+pu57qKFi2KiYmJ0jdq6Nuylu51U1BQEE+fPmXkyJF06dIFSLteKV++PD4+Pnh4eHDw4EEAZYougIYNGzJq1CiyZs1K06ZNyZo1a8Y0Rggd2n15woQJmJubM336dAYOHAjAs2fPaNGiBWXKlFHCySqVitKlS+Pu7o5Go2HHjh3Kdl+jRg3luGBqapruXK+PzwFUKhUpKSlMmDCBq1evMmbMGEaOHImZmRkAjRo1Yvfu3cybN49du3aRM2dOJkyYgI2NDSqVisDAQKKjow1mqlBdarVaCR7nzp2bEydOEBgYiK+vL5A2AEr7rEr3/iwlJYWKFSuyfPlyHj58qEx9LvSPtk8oICCAS5cuMWDAAMaMGaPcR6jValJSUggPDycpKYkqVaro5X4qhKGRvUgIA6K9GLS2tlZGkO3cuZNLly4xcOBAihcvrnRAaz9fsmRJ2rdvz/jx4w3uobjuqHBHR0dWrlxJwYIF2blz5xcr+EyfPh2AQYMGcffuXYMeifYtS05ORqVSkZCQwNOnT4G0GzILCwtiYmKUzzk7O3Px4sVPwh4AU6ZM4dq1awbzMOV7bDN8v+3+XsTGxir/NjIyolWrVkyfPp1s2bJx584d8ufPT8eOHSlRogQajSbdMVl7M6ftiClUqBC1atVi5cqVBAUFYW9vz40bN0hKSvpmOmu/FSkpKcr6u3r1Krt372b16tUcP348XRnpggUL4ufnp+zf7u7uhIWFGeS5WbfNZ86cYdGiRUBaRUW1Ws3w4cPJly8fp06dYtSoUSQkJGBkZJSuc/LUqVPcvHmT6tWrY2NjYxB/B92O0tWrVzNu3Dhat25Nt27dmDlzJm/fvk035Vrz5s3RaDRs2bIFSF+NSbeCz9atW3FycuLRo0d07NiR5ORkg/h7fIu0QUsAT09Phg0bxtmzZylRogQFChQgLCyM0aNHM2LECOU8bm9vz5gxY2jSpAnW1tYAtGrVig0bNrB792569+6t/La+Hr+1+3O/fv2UzmJjY2NMTEyYMGECXl5etG3bFmdnZ9avX4+Pj48S7IG044B2RL2FhYVBb79ZsmShWLFivHr1iujoaIKDg78Y7Nm7dy8rVqygWLFiBvFwQXvMgbTj+MmTJ6lduzZTpkwhU6ZM3+SoUe3oWUjbp0eNGkVERAT16tWjdu3aREZG4ufnx8iRI7l48SIajYYsWbKkm6Jr0aJFzJ49O911njbg065dO2JjY/VuehfdUfHNmjXj+PHjtGrVitDQUBYsWICLiwsWFhZs27aNNm3aEB8fj6mpqXKe1mg0WFpaKuHkLVu2UKJEiYxulkJ3W9Ueb7TreePGjbx9+5YzZ86watUq+vfvT1xcHMHBwbRt25ZmzZqxceNGVCoVo0ePBuD48eMkJycb/D7w/Plznj17RuHChZXA1scB6nbt2uHq6gqkVUDQreBjCP7TOipdujQVK1bk2rVrLFy4kAYNGuDj45Pu2H3u3DkCAgKIiopi0KBBerf/fok2DBAXF0d4eDhv3rwhOTmZpKQkrK2tMTU15ebNm8TExChVJjUaTbpjvyHRHo+Sk5OJioriypUrlCtXTpnGXLstqFQqJeDzcQUfrWHDhtG5c2eDCPbo9v1+rjqo+DZo740hreLz+PHjARg4cCB79+5V+vaNjIzSPfgvWbIkHh4etGzZknPnzuHv78/JkyfTVZY1hKDAq1evOH36NMWLF2f48OGYmZmRkpKCRqMhe/bs/PzzzwwZMgQ7OzsOHTrEgwcPUKlUSsXfRYsWcfv2bb26NvmcL+27zs7OODo60rt3bwYOHEhiYiK+vr5s2bKFyMhI4M/1eOfOHY4dO0ZcXBzVq1ena9eugFR70Wfx8fGcPn0aOzu7dBX6IW2gQbt27WjQoAGNGzemTZs2PHz4EJB1KsS/of9nPiG+Qx9PfaB7ojMyMkp3w3Pnzh3gz3mytR0ZR44c4dy5c7Rt2xZ/f3/69ev3yW/pk8+1WfswQDvS8u8EfAYOHMiECRMYN24cxYsX19sHCt87Y2NjPnz4QIMGDbh8+TKQtp6rV68OpI06cnJy4vLly4wYMeKTsMfs2bM5c+YMTZo0IUeOHBnShn/qe2wzfL/t/h6cPn2aYcOGKdNaaM9Lu3fv5tWrV9ja2vLbb7+xfft2Hj16pAQcPqbbEaPRaMicOTNlypShRIkSPHz4kNDQ0K/TIPG36AYBfH19admyJV27dmXYsGG0atWKzp07ExQUpHz+44CPh4fHJ1N06TvdEcNBQUH06tULDw8PZs2aBaT9TfLly8fYsWPJli0bK1asoF+/frx580YJvpw6dQp/f3+SkpLo3LkzlpaWeneN8vE1om6g6c6dO/z0009MmTKFOnXqcPr0aaZOnUqTJk0YPHgw4eHhREdH06ZNG3Lnzs2+ffs4duwYkL6DTzfgExoaSrNmzZg/fz7GxsZ69/f4XmjX8dy5c5kzZw5OTk7s2rWLvXv3cvDgQfbv34+ZmRmrV69O1/Fub2+Pm5sb9erV48OHD4SFhWFmZqZUudDdfvTV+/fv2blzJ1euXKFdu3bK65aWlgwZMoQFCxawceNGateuTbZs2ZT3L126RHBwMFmyZKFmzZqA4VQM0Gg0yr6u3TfNzMxwcHDg/fv3VKtWjUmTJtG0aVPc3d3TPRy+ePEis2bNIk+ePLRq1UoZbaxvdO8rtdeh7du3Z/v27Wg0Gnr37o2pqSnJycl6v43+N7Tb4sKFC5kzZ44yje/atWtZt24dx48fJ3fu3Ozfv58TJ04oYXtbW1t+/vlnxo4dS1JSEn5+fkRERKT77dy5c+Pl5UV4eLjeTVelW50pPDyc4cOHs2DBApycnOjQoQMBAQEsWrSIggULcvbsWfr27UtSUpJyftf+3bT7hza4qC90p946efKk8rq7uzv9+/fn/PnzqFQqWrRowbRp0zh06BDz5s3DwcGBixcv0r9/fypUqMD27duxsrJi37593Lt3z+D3Ae3UgFevXuXp06efnSJRrVbzww8/AGnr2d/fn9mzZ3/Nxfyv6Z5Lw8LCOH78OAcPHuSPP/5QPmNpacn8+fMpWLAgKSkpPH/+HGNjY16/fs2HDx/YvHkzgwcP5uTJk0pIGwwjPKEN7DVo0IC6detSr149mjZtSteuXVm+fDkajYaEhATu3LnDixcvgLR1rN0uDI22vc2bNycgIIBHjx7RpEkTjI2NSUxM/KRq6scBn7Fjx/Lrr78qn9H3/Vt7vtYefxMSEj55zRC2U/H3fRzwGTt2LABRUVE8f/6cly9ffvZ72oBPmzZtOH36NBMmTOD333//asv9d927d++L029HRERw9+5dChQogIWFhdKvot3WraysaNasGQ4ODjx58oQNGzYAKEFkADs7u6/TkP+S7pSwMTExvH79mufPnwN/BpIzZcr0/9g7y7Aqs7YNn3Qr2N2J3d2KgoFiK2Jhi4qEICgmjSKoKKCCndiiKCrqKGVgoI6FHRgo0rG/HxzPM3sjzuvM+37DZuD8MzPsmOfaq9e61n0zb948GYNPSEgIX758AfLGOltbW+zt7UUDiIC892nFme/fv/Pu3Tu0tbVFU+n79+8ZM2YM1tbWxMbG0rNnTypWrMiFCxdwcnICSsq0hBL+G4rmbLeEEv7F5A+Lf+fOHR48eMDQoUNp06aNmM5CSG0gbKDfuXOHpKQkdHV1iYyMZN26dZQuXZrKlSvLfL88Dpq/olkI4ScYfP4sRZeQvxfkM9ducaSglAzOzs7cvXuXtm3bin/r27cvnp6eHDx4EFVVVezt7Zk3b57Mrbpt27bh7+9Pw4YNmT17ttzeuCuOmqH46i5uJCUlsWrVKiIjI2ndurXYTwPUqVOHkSNH0qlTJ3bu3MmOHTvIzMxk0aJFf3pLVKg72dnZqKurY2pqypEjR/j27ds/pKqEX0EoZ2dnZzw8PKhTpw5Tp07l27dvREZGcufOHeLi4nj9+rUYalkw+EBeiq6FCxfi5uZG+/btC03HryIdAcHJyQkfHx9atmzJxo0bxecXfhNDQ0NSU1NZs2YNR48eJS4ujmrVqqGnp8f58+dJSUlh5cqVDB06VPxueTEESCQSUUdMTAxNmjQR0z5aWVlx+/ZtNmzYwLx585g8eTLx8fEEBwcTGxtLSEgIZ86coUmTJkyaNImBAwcSGBjI7du36dmz5w8apVN07dix4x/XWsKPPHz4kC1btlCjRg2WLFkiY+iIjo4mIyOD/v3707p1axlDR5MmTbC1tRVD5a9cufKHUPnyikQioXTp0kRHRzNo0CDOnj3L8OHDxahTwrpCWKcI9fj8+fN4enoSExPDmjVr6NGjR2HK+CWk10PCOKuoqCjTNhcvXkxsbCzR0dGUKVOGKVOm0Lp1a/H1ixcv4ubmRmxsLOvWrRNNTfLE1atX6dy58w91b82aNYSFhRETE8OXL1/EQ4aievj7KyQkJLB9+3YqVaqEvb09zZs3F187deoUb9++pX///vTo0QNtbW3xNV1dXUxMTEhLS0NLS4s2bdr88N3yfLD05csXrly5Qr169bCwsBBNXMrKypQqVYoePXrg4+PDzJkzOXv2LCdPnhTHZAF53jtwcXEhMDCQuLg4Nm7cyJYtW/D392fQoEH0798f+GNu0bJlS1q2bMmQIUOIjo7m9OnTHDhwgAMHDoiH5Tt37mTFihUoKCjIte4/o0WLFnTs2JHr169z5swZxo8fL3NbXCj/rl270rZtWwYMGICbm5vcpZQrCGlDvaenJ5s2beLbt29kZWXRvXt3Bg8eLEbKq169Onv27GHSpEnEx8fTu3dvtLW1kUgkvHjxAj09Pby8vMQIRkVpn+zo0aNUrVqVUqVK8fLlS37//XeSkpI4e/Ysubm5pKamMnDgQJSUlKhXrx5ly5albt26tGrViqysLAwNDYvUJaETJ04QGRnJvXv3SE5OFiNaFGRckzb4ODg4cOrUKdTV1dm8ebPcj3FC20xLS8PPz4/r168THx9PpUqVMDY2ZtiwYVSsWFEmBXAJ/w4Eg4+SkhK2trbk5ubi5ubG6dOnOXXqlJjaNz+NGjXC2tqab9++0atXL6pWrfoPP/mfs3z5cry9vdm5cydGRkY/1Nny5cujo6PD169fxbSQ0n2xRCKhTJkyTJw4kfPnz/P582fxs/K+rgLZMSswMJDTp09z7949cnJy6NmzJ+3atWPatGkAaGhoYGFhAcDGjRtxdnbm7du3VK1alX379hEZGcmSJUto0qRJoekp4a+hra1NnTp1uHDhAiYmJpQtW5bffvuN9+/fY2RkhLOzMzVr1uTJkyf06NGD6OhoEhISikwkwRJKkEfke6ZXQgnFEGEitGLFCtauXStOeqOioqhduzZOTk7izQ2Ajh07UqFCBQIDA7l37x46Ojpcu3aN5OTkH8LHyyu/qln4e36Dj5KSEn5+fqipqf2wSVFUNiz+rURGRtK4cWMx/Yj04iYtLQ01NTXxkEgikdC4cWM2b97M+PHjyczM5OnTp3z9+pWPHz+irKyMt7c327dvR1NTk4CAANHcJk8UR81QfHUXV3R1dZk3bx5dunRh7NixKCoq8vbtWypXrszkyZMZNWoUWlpaVKlSBRcXF/bt2wcgGnyk++rXr19TsWJFlJWVkUgk4vgWExMDyN7aK9nUKzyky+zOnTvs2rULQ0NDlixZQuPGjQF49uwZ586dw87ODn9/fzQ1NcUbOTVr1sTDw4Ps7GzOnz8vk75LnhHq3NatW/Hx8cHQ0JDFixfTtGlT8T1C3dTT02PMmDE0btwYR0dHnj17RkJCAqVKlUJfXx9zc3MxOoi8HaoIOgcPHkx0dDS7d++mT58+LFmyhK1bt2JgYCD24dra2nTo0IGWLVuSkZHB1q1biY6OJjQ0lOjoaDGK5Pr16zE0NKR+/fo//P/k/cDh30xBde/FixckJCSwcuVKGWOPi4uLGHlr8eLFokHgxYsX1KhRA8iL4GNnZwfkHcB5enqSnZ1Nr1695KqO50dId1y9enVOnDiBoaEh58+fFw0+0sYegAcPHnD8+HF8fX3Jzc3F1dVVPHyQt/YsjbSGw4cPExUVRVxcHHXq1KF+/fpMmDCBsmXLoqWlhbOzM9bW1ty6dQtra2tmzZoFwMuXLwkKCiI5OZnVq1djZmYGyNe47ODgwMaNG3FwcMDa2lrmtcWLF/PixQtCQkJQUFDg+vXrGBoaoqWlVUhP+//P69evuX//PlZWVrRs2VL8u6urq5hyTbpNS2+u6+rqYm5uLvb58ly/85OQkMCDBw/o27evGNk4/3jTtm1b0YQaHR39g7lHnhDamPDP0aNH8+DBA44dO8bAgQP58OEDQ4YMYenSpTKRaQRyc3PR1tamd+/e9O7dm3HjxvHo0SPWrl1LQkIC165dkzExyzPCbyDdp+Xm5iKRSOjVqxeRkZEEBARQq1Ytunbtirq6OllZWeKcJCgoiBcvXmBlZcWcOXOKxKURod2tWrUKLy8vypYty+DBg7l79y7R0dHcuHGD9+/fi6ltGjduzJkzZ/D09OTOnTs8e/YMTU1NrKys6NGjh2jKLEptGmDs2LGMHTsWyIsMkJqayv3790lPT8fe3p5nz56hr6/Ply9fePfuHXFxcZw/f178fFEw4UozfPhwPn36xLZt20hOTubYsWMMHTqURo0aFfh+weCzbNky3NzcsLa2lvt5dk5ODsrKynz//p3hw4cTHR1N2bJl0dHRITIyksjISM6fP8+UKVMYMGCA3Mw1/luk+6/iREHzRSUlJTIzM1FVVcXOzg4lJSWcnZ1ZuHAhGhoajBkzpsDvaty4Mf7+/ujp6f30uwuD7OxsMcrMp0+ffngmiUSCmpoaysrKxMTEcPz4cUaOHImioqKoQTDHaGlpkZ2dLRe6/grCuCKYnFRVValRowbPnj3j0KFDHDhwgGvXrrF161bgD4OPqqoq27Ztw9PTE0CsC8I6RF7KuIQ8pMtDep6qoaGBj48Po0aN4vLly2RnZ9O1a1ccHBwYNGiQOC+vXr06Ojo61KxZU+4MeiWUUNSQ79leCSUUU3bs2MGGDRvo2LEjc+fO5f3791y7do2DBw8yY8YM1q9fj7GxMQDt27fH29sbJycnrl27BkCtWrVwcXFh/PjxQNFYvP+q5vwGH3Nzcw4fPsy3b9/Yv3+/3OssTri6uuLl5cWKFSswNTVFR0dHvCWooKDA169fUVFREQ/0hcnhgAED2L59O1OnTmXfvn2cPXsWdXV1UlNTSUpKokWLFvj7+9OgQYPClFcgxVEzFF/dxR1DQ0MMDAxQUlLCycmJ+/fv4+DgQIsWLcQDMyFqh7Ozs2jwsbW1pXbt2gDcunWLNWvWUKZMGdasWSPWjd27d+Pn50fVqlUZMWIEUHRSnvwbkZ5HfPv2jbdv3/LmzRu2bNlC48aNxY3K2rVrY25ujoaGBvPnz2fTpk20adOGQYMGkZubS40aNfDy8iI+Ph4jI6NCVvXrvHr1it27d1OqVCmsra1ljD0gWze1tbXp0qULJ0+e5MmTJ7x8+ZLatWtTunRpqlSpAsjvvCwjI4Py5cuTmZmJtbU1jRs3JjQ0FBMTExYtWkTNmjWBP/SqqKigpqbGggULAAgPD+fcuXOEhoby/PlzUlJSePToEfXr15dbzcWFq1evcufOHWbMmIGiouIP5fHkyRMAmdRTbm5uorHH0dFRNP2kp6fj5OSEiYkJgwcPBv4Ila+srMyhQ4dQV1enU6dOYvSnwia/XuG/hXVF9erVCQ0N/cHgo6SkRHZ2NhKJhK1btxIYGEiHDh2YNWsWQ4YMKfC75QnpQ3tho10gMjISyIvc4e3tTefOnWnTpg2BgYHY2dlx7tw5bG1txfe3adOGmTNnimOyvOlu2LAhgJj2T0C4Gb1p0yZycnI4evQoISEhDBgwoMgd+P4VBAOtrq6u+Dc3NzfR2CPdpiUSCfPnz2fEiBFMmDABQCZClzyV839CTU0NRUVFHj58yOPHj6lXr94P79HU1KRHjx4EBgby6NEjMUqXPPL161d0dXWRSCTk5ORQp04dNm/eLEZI1NPTw9jYWDT25D8AE8pOaK9CNJ8uXbowffp0fvvtN3bt2sXEiRMLRd+vkD96WmpqqpjCWdA3depUoqOjCQ8Px9HRkblz59KnTx8xivXWrVs5c+YMHTp0IC0tTe6NPdLlGBUVRVBQEAMHDsTGxoYWLVrw7NkzTp8+jaurK2vWrEEikeDo6AjktfmVK1cCefVHVVVVZiyWt747PwUd4goRXrKystDW1kZbW5sKFSoAeb/P2rVrmTdvHgMHDuTr16+8fPmS58+f8+XLF7p27SrOX4sCgtYZM2aQnZ3N1q1befr0KQcPHmTatGk/jZymoKBA+/bt2b17t9zXb8g7vE9PT2fUqFHcuHGDadOmYWNjg4qKCgkJCbi6unLmzBk0NTWpVavWT41NRQGhzQl9WUpKCqGhofTu3VtMXfNvRtrQlJycLKZeqlGjhkw0KhsbGxQUFFi9erVo6viZwUfejD3CBTU/Pz+mTJlCjx49SE1N5ebNm7Rr1w5VVVUUFBRo0KABs2bNwtnZGQcHB0qXLo2BgcEPxtWwsDAA0ZApLzp/hT179rBhwwYMDAywtLSkVatWXL9+ncjISPz8/Dh8+DApKSni3qCGhgazZs2iTZs2hIaGoqqqSufOnTEwMADkf8wqbghjVE5ODpmZmXz48IGaNWuK9bNatWocP36cx48fk5ycTN++fX+ov76+vrx7947x48eXlG0JJfyXlJh7SihBjhAGvMuXL9O0aVM8PT3FEIQmJiZUqVIFHx8fcaIrGHwMDQ1p1KgRHz58QFVVFT09PfHmnbxPhP6OZmmDT0BAACYmJnTs2FGudRY3UlNTycrKQktLiw0bNqCgoMD48ePR0dEhNzeXrKwsEhMTKV26tLgwk2bgwIGcOXOG/fv3ExMTw/fv32natCkGBgYYGRn9kG5OHiiOmqH46i6OXL9+ne/fv9OlSxfxNqCSkhJPnz4lNDSUR48eiRF9BPODmpoavXr1AvLSOO3fv5+cnBycnJz48OEDK1eu5MKFC7i4uMj04eXKlSMtLY0TJ04UqQ3ZfytC2VhaWnLy5ElMTU3p2LEjHTt2lEnnBHmby8OGDSMuLo7AwEBu3brFoEGDxNtotWrVKjJzFIE3b95w9+5dTExMZNLU/Bmampo0a9ZMJgoK8MPvJS8Itwn9/f2pUqUKGzZsICEhgY4dO7Jw4ULRZCm9OSN90xCgT58+9O7dG1tbW3x8fPD29mbz5s0YGBjI/Q3ifzOvX7/G2NhYTMU0bdq0Hww+wj+fP38OyEb3kDYBAOzatYsjR46I6xCBRo0aYWlpiaqqKhYWFnJj7JFuc/Hx8ejr68vU3Z8ZfExMTAgJCRHrrqOjIz179kRfX7/I9GFC29ywYQPe3t507dqVuXPnUrp0ae7du8euXbu4efMmM2bMwMPDAyMjI+rWrcuBAwe4fPkyr1+/JjU1lRYtWlC1alUqVaoEyJdu4VnMzMzo1KkT9evXFyMdjB8/HnV1ddG8ERAQgKKiIocPH2bOnDkEBwcXmHaqKCFssgsIv4dQ9vfu3QPyjD2urq4/bdOXLl1i2LBh/+zD/xf8rA5WqVKFNm3acPv2bW7evEm9evVkxinh9xLmlqVKlZJbY094eDgjRoxgx44dDBo0SNR7+vRpnj9/TsWKFXn//j1+fn5Ur16d1q1b/zQihPRvJZFIqFKlCtOnTycyMpKHDx/+I3r+DkJ5paens3XrVm7dusXdu3fp0aMHXbp0YdCgQUCeMXXDhg3MmjWLCxcuYGdnR6VKlejWrRsvXrzg/PnzVKhQgSVLlsik7JJHpOt2SkoKHz58IDs7G2tra1q0aAFA7dq1mTBhAnp6etjZ2bF27VoA0eAjREURzH35527yinC4nZOTQ1JSEo8fP6Zq1aooKSlRuXJlMQqTtB5BY0JCAsrKypQtW5ayZcvKRCyTVwrqx4T+XFFRkTlz5qCoqMj69evx9/dHR0eHcePG/TTFmIKCQpEw9giXwDZu3Mi1a9eYPHkyS5cuFVNEtmzZkpcvX6Kjo0P16tWpVq1aYT7uf8XNmzc5f/48pqamVKxYkZSUFDp16kRubi716tX715t7pNM0bdy4kWPHjnH9+nVUVVVp2rQphoaGmJiYiNFAhciLv2LwAfm5/CWYcwTzcGZmJn379uXp06cEBwfTu3dvsf8aN24cDx48ICQkhAULFuDs7MzQoUPF3ykoKIg9e/bQuHFj+vXrJ36/vJI/GtVvv/1GzZo1WbZsmRjduXPnzrRr146WLVsya9YswsLCsLe3x8XFBcjbM+zWrRvdunWT6Rflab1Rwh9zi9TUVKysrIiPj+fOnTsMHjyYHj16iGk/hXFYIDs7W6z/wcHBbN68mcaNGzNp0qRiGcmshBL+l5TsspZQQiEjPVlRUFAgKyuLe/fuMWXKFJo0aSJOlHR1dVm2bBnKysqsWbPmB4NPrVq1xEgIAvJ6gPS/0Cws+lu1akV0dLS4wC1KjvZ/M5qamsyePRttbW18fX3x8fEBEE0fCgoKpKWlUapUqQI/n5OTQ4sWLWjRogVZWVl/+l55oThqhuKru7jx+++/07dvXypVqsSmTZvo2rWruBCrU6cO7u7uuLu7c+DAAfEGuGDwUVFRoVevXigoKODm5saBAwc4f/48WVlZfPv2jRUrVjBz5kzgjz7cwMCAx48fl9QFOSIzM5P79++TmJjIxo0byc7O5vbt22JKD2m0tLTo0KEDgYGBhIeHM3/+fLE/kEYe5ygF8fTpUzIyMsQN8/yHqfDH3EY6tUlBG1LyOkcRzFfKysqkpKSIf0tISODjx49i2PT8z5//v3Nzc9HT02PhwoUcOXKEu3fv8vz5czGqQAn/PDo6OtjZ2eHl5cXKlSvJzc0VI/gIc+4uXbpQpkwZzp8/z6dPnwgMDMTAwAAHBwcZE8ClS5fw9vamTZs2BR6cNWnSRAzDLi8IddTR0ZEtW7awadMmjI2NxTqfP4LPvn37MDEx4cKFCxgbG3P06FEgzwQgHXFMXtdZILvRnpWVRVhYGO3atcPNzQ19fX0gL7WzmZkZEydOJDQ0FFtbWxo0aCBGOhFuC+dHnnSnpKSgpaUl9k/169cnJyeH7t27k5CQwKdPn5g3bx5qamqiwcff3x8FBQVCQkKYNGkSQUFBRdrgI4xFzs7O9OvXj3bt2gHQvXt36tatS2xsLNOnT+fAgQMFtunffvuNtWvX0rx5c7p06VIoGv4qQv3OzMwkLCwMFRUVunTpgra2NmXKlKF79+7ExMQwf/58qlevTseOHcXPCr9XSEgIgJjCXB73ECIiIoC8W/CGhoZiu9PX18fT05N69eqxdetWjh07xqJFi3Bzc6NNmzbi+wrSJJFIxMPWatWqkZOTw+3bt2XSV8kL0ml7Ro8ezdWrV1FVVUUikXD//n127txJTEwMy5cvB6BixYr4+/uzYcMGLl26xI0bN3jy5Amampq0bduWjRs3FpgmVN6QTmvy+++/o6ysTIsWLWjZsiU5OTmieU9bW1tMKZff4CPcqhfGAXmr2wUhzK1TU1NZsmQJ165d4/79+5QvXx49PT2sra0ZPny4qF+o34JR7/fffwfksy0XhKA3MzOTmJgY7t+/T25uLtWrV6dPnz6oqqqiqKgo7oH6+Pjg5eUF8KcGn6KAUD7Xrl2jYsWKODk5icae7OxsjIyMiI+Px8rKCgsLC7S1tUlLSxONeUWljD9//syECRN4/fo16urqDBkyhNGjR5OYmIiFhYVofPg3kz9Nk46ODk2aNOHDhw9ER0dz/fp1zpw5g7e3txiBUdrgY2FhQU5OjpiVQJ6RrpM5OTk0btyY+/fvY2Njg7u7O3369EFFRYWqVasyZ84ccnNzOXLkCJMnT2bnzp2UK1eOxMREIiIi0NPTY+vWrWLUX3lDenwR/imsMd6+fYuBgYEY3VlBQQFFRUVUVFTo3bs37u7uWFhYcP78eXHf5GcGVHlZb5TwRzTYlJQUBg4cSFxcHJUrV0ZdXZ1Tp05x/Phxnj17JkYOlK4j0hdldu/eLaZhK8rGzRJKkBdKeskSSihEhMU5wLt373j48CFJSUlkZWXJREUQUFBQwMHBgYULF5KWlsasWbM4duyY+Fp+5HHB87/ULLxPWNjm5ubKpebihBBiFfLc2mZmZsyZM4f09HR8fHzYuXMnSUlJSCQSPn78+NObRdJ1QEVFRTzgF275yBPFUTMUX93FlQoVKjBkyBDevXuHjY0NV65cIScnR3y9Z8+eLFq0iA4dOnDw4EHWrVvH3bt3xdcFg4+7uzvGxsZkZmbSsGFDNm7ciIWFBfBHHy6UvRByv4TCRyKRoKqqKh4OCoekkZGRP6RAEepFly5d0NHRETdzijJCBJK7d++K8xXpPkr6sNvFxUU8bClqG1KKiop8+/YNZWVlDAwMGDp0KO/evWPu3LmEh4eTlZX1H79DSUmJjIwMdHR06NOnD58/f5bpC0r45ylVqhTTpk3D3t6e1NRUVq1axebNm4E/xuAqVarQunVrYmJi2Lp1Kz179sTR0VHGvBcZGYmnpydJSUnMnj1bNLHlR56MPQIpKSl8+/ZNTCkmGHaECEaAaPBp0qQJ48ePR0lJiUuXLomRIfIjz2sOoVyPHz/O+fPniYqKwtTUFH19fSQSCRKJRLxFGRwcTPfu3Xn9+jV2dnakp6fLfFf++Zi86F6wYAH9+vUjMTERVVVVcexRUlLCysoKACcnJzEVmWDwUVZWZvPmzZiYmPDq1SsmTZrE9evXC0vG/4QDBw7g4eFBYGAgGRkZQF6KyB49evD48WMOHDhAx44dsbW1pXnz5mKZXrt2DXd3d7GfLwrGh+zsbJSUlEhNTcXc3JwJEyZgbW3NixcvxDHK0dERExMT0tLSMDEx4ejRo7x8+VL8jm3bthEcHEyDBg0wNDQE5Kdewx9tbsWKFfj5+eHr6ytGylRQUKBevXqMGzeOHj16sGrVKgwNDbl58yaLFi3i+vXrYp8maEpISODx48fi34T+ISYmBoB69erJ3XxFMCClpqYydOhQoqKiGDduHHFxcdy5c4dVq1aRkZGBj48PNjY24ufKlSuHvb09x48fJyQkhL179xIWFsb+/fuLRP0WePToEadOnSI0NJTIyEixfPLfcFdXV2fo0KG4urqio6PD+vXrRbNTUboNL20uHzhwIFu3bkVBQQFjY2OaNm3K77//zvTp01m9ejWfP38G/qjf9erVQ1tbm2/fvsn8XZ4RjGspKSlMnjyZMWPGYGNjw6JFixg3bhxGRkbcunWLzMxM0eAzf/58NDQ08PLyYvfu3SQmJha2jL9Nbm4ub9++5erVq1SvXl1M552bm4uRkRExMTFYWVkxf/58SpcuDcDhw4fZtm0bUDTKGKBMmTLMmzePypUr4+joSJ8+fXj8+DG2trZYWVmhpqZWLPa8QkJC2Lx5MwMGDODYsWNcuHCBc+fOsWrVKpo3b05kZCTTpk0TxynIM/gsWbKE7Oxs5s6dK5r35IX85Sa01YyMDJ49e4aGhga+vr5MmTKFly9fYmNjQ3h4uDhHa926NU5OTtjY2KCqqsqVK1fYt28fd+/epU+fPoSGhsplKrqEhAQgb3wR5hoAJ0+exNXVlRkzZnDjxg2ZtVX++UX79u3R19fn999/59atW0DRadPFGSE6lY2NDU+fPmXOnDlERUURFhaGm5sbWlparF+/nkWLFgGIqa1zcnIICgqiYcOGbNiwgfr163P8+HHRzFdCCSX8d5RE7imhhEJCOjylt7c3u3btEvPCv3//njdv3ojvy+9cdnBwAGDNmjVMnjyZzZs3M2LEiH9exF/k/1uzvG1KFTdWrVrF8+fPsbe3p06dOkCe6WPSpElAXkoAX19fFBUV6d27Nzk5OZQqVYonT56IBy6ZmZkoKCiQmppKRkYGiYmJ1KxZU27DkRZHzVB8dRdXcnNz0dXVZd26dWhoaLBv3z5sbGzw8PCQieDTo0cPIM/ccPDgQQCZCD7Kysq0bt2aoKAg3r59i4aGhhhKPX9EN+l/llD4KCgokJ2djY6ODoGBgUyZMoVz586xadMmWrZsSfv27QHZcT46Oprk5GSaNGmCiopKkbllWRAdO3akZs2axMbGEhQUxOTJk1FWVhYNaYKuc+fOERoaSufOnUlKShLrd1GiVKlSLF68GHV1dbGNbtu2DVtbWzw8PMRbh9LlmZycjJaWlpjqSEhxIpgESox6hYtEIqFUqVKYmZmhoqKCo6MjLi4uZGdnM2fOHAD09PRwcXEhLi6OxMREvn//Tm5urmicOHv2LK6urjx58gQXFxdMTEzE75bHdp1/LaGlpYWjoyOlS5dm/fr1YuoSY2NjmRRlwmfKli1L9erV+fLlC7/99hsnTpz4qclHXtm8eTN2dnYMGTKEChUqiLcjhUNFIbKDiooKXl5eGBsb8/jxYxITE6levbr4PfJYvl++fCEiIoKEhASmTp3Kli1bKF++vBh9xNTUFA0NDczNzcWD7gULFshE8BEMbiEhIZibm+Pn5ycT4aUo0alTJ2rUqMGdO3dITEykWrVqaGlpMX/+fOLi4rh+/TpJSUm8evWK8uXLo6ioSEREBB4eHjx//hxnZ2dGjhwJyG+bhh8NAPHx8YwcORIbGxvq1q0rE41s7dq1SCQSDh8+zIwZM6hbty5NmzblzZs3XLt2DT09PYKDg6latWphy/oBBQUF0tPTUVdXF9ORzJ07l127dnHw4EH69OmDmpoa2dnZVK9eHXd3dxQUFDh16tQPEXxu3rzJsmXL0NTUxNvbm4oVKwJ5Zk13d3dKly6NhYWF3BlBFBUVycrKwsbGhrt37zJ//nwWLlyIlpYWT58+Fc3WqqqqBAYGoqCggLu7O5D3+2lqaoppgYsi9evXZ8WKFWzatImLFy/y5csXzp8/T+/evWWi1sAfBh9FRUUsLS3x9vbG0NBQnJsXBYRD8SlTphAXF8f8+fOxt7cX55Pbt29n/vz5BAcH06lTJ/r27St+Vl1dHQUFBeLj4/ny5UuBacDlCWnjmhD9wMDAgGHDhpGWlsaxY8e4ePEipqambNiwgU6dOqGqqipGuV23bh3r1q0jLS0Nc3NzypUrV8iK/jqKiopoaGigra3Nhw8fxEue/fv3JzY2VjT2SK8fNm3aRFJSEiYmJqLhR54R5pXTp09HUVERR0dHPn78SLdu3RgzZoxo7JHX8fa/IX+apujoaHR0dHB0dKRJkyZkZ2dTpUoVpk6dSqtWrVixYgVRUVFiJOhSpUqhqKjIwoULSU1NpXTp0mJ6aHlAKLdnz57x+fNn2rRpg6qqKl+/fmX48OFi/12+fHkxisnWrVvF/bNevXqhpqZGrVq1WLx4MUZGRnz//p3nz5/Ttm1bKlWqJJd1/MqVKwwePJgxY8bg5+cns84aOHAgEydOJDg4mLS0NG7dusXr168LnGNVrlyZ7t27ExUVxbt37wD5nnsWd6QjVispKRETE4ORkRF2dnZoa2vTtGlTmjZtStWqVZk2bRr+/v5AXiQn4XPt27endu3aTJ06FTMzMzHNcwkllPDfU2LuKaGEQkKYCK1evRpPT0/09PRo2rQpX79+JTk5mc2bN2NoaCiG35WeHAtml5ycHNatWycTQUOeKY6aiwvx8fH4+/uTnJyMmZmZaPgAWdPHxo0bWb9+PYmJiaSkpBAREUGnTp3EG8Twx81pyDtkPHv27D+u51cojpqh+Oouzggb7Lq6uqxevRolJSV2797NwoULWbNmDV26dBEXbv/J4CMsDitXrix+vzyl+MhPcczz/TPNgplFR0eHrVu3Ym5uTlhYGLNnz8bV1ZXWrVtTpkwZIO82+IYNGwDo16+f3B0a5efPylkikYh9m5ubG0FBQZQqVYphw4bJRCiJiYnBy8sLBQUFJk2aVCSMPT/TLX0wsnLlShQUFMRNSXd3d3r37i0euFy/fp1jx47RtWtX+vbtK27M7du3j4MHD1K3bt1iEXZeXpGeT0skElq0aIGpqSnbt2/Hz88PBQUFZs+eDeTdfj927BimpqbExsYydOhQSpcujUQi4cWLF+jp6eHl5cWUKVMA+e0fpZ9LSNskkUioUKECFhYW5ObmsnHjRvHigGDwkU5L8+bNG5o1a8ayZcu4evVqkTP2AFSqVIlmzZoRGhpKVlYWERER9O7dW4w8JkTwkEgk6OrqUqZMGe7evcujR49kzD3yiJ6eHiEhIcyYMYPLly+L6bXKly8vpugaPnw4wH80+CgpKXHgwAEWLlzI+fPnfxppUp4pXbo0rVu35siRI2zZsgUnJycAatSoQUBAAAsXLuTy5ctMnjyZsmXLkpuby+fPn6lQoQJr164V5+7y2qYFFBUVyczMZNq0ady+fRsbGxvmz5+PpqameIte6O9KlSrF1q1bqVatGufOnSM+Pp74+HjKli2LgYEBK1eulLt0kVeuXOHq1avY2tqirq4u038LfdOIESMICQkRjSvZ2dlUq1YNd3d3JBIJoaGhYgSQ7Oxstm7dyqVLl1iyZIlo7IE8w+OAAQOYOXOm3P0OAr/99hvHjh2jX79+WFpaoqWlxZMnT3B3d2f//v1MmTKFIUOGMH78eAICAsjNzcXT0xMVFZUC06cWFYRy79+/v1ivL168yLZt2yhfvjzNmjUr0OAzePBg0tPTyc7OLlLGHkFHaGgo4eHhDB06lEWLFonzTMhLTaejo8PYsWNp27atzOfr1q1bpCKFCvONhQsXEhcXh6WlJdbW1mKUUBMTE1q3bs2XL1+4desWXbp0EfvmmTNnoqioyNKlS9m5cyfTp08vZDX/mZ+NK7q6ujRt2pTz58/j7+/P3r17uXnzZoHGntWrV/Pw4UMcHBzE9F3yjnDhQUFBgcOHD5ORkYG2tjaXLl1iz549mJmZFUlj1q8gjFsLFy6kdu3aZGVlMXToUJo0aSIzrqmrq9O+fXsWLlzIwoULiYqKIjExEV1dXbEPF8z4ID9zFAUFBZ48eUK3bt1o27YtXl5e1KpVC0NDQ+7fv4+xsTF6enpIJBI0NTULNPj07t1b3EcQ0hx37dq1sCT9EsIe7pMnT0QDMiCmzPP29kYikbB9+3Zu377NlStXGD16tPh56bIXvktIO1Zi7JFfhPSoS5YsoUGDBnz79o1Fixahra0tU6b9+/dny5YtTJ06VcbgA3lpuw8dOoSysrLM2F5CCSX89ygkJSX9+2MAllCCHCE9Ib116xbjxo2jZcuW4kD57NkzHBwcCAsLo2zZspw+fZp69er9YHYRvismJoYOHToUhpRfpjhqLo4cOnSIzMxMxo4dS2ZmJomJiTJO/U+fPhEUFISvry9fv36lbNmyNGjQgIYNG5KRkSEufnR0dMQ6M378eLkOoV0cNUPx1V1cyX84fPv2bZYvX86FCxdo3LgxLi4uMgYfgIiICFxcXIiKimLEiBEsWLCAJk2aFJaEv4W07lu3bvHy5Uu+fftGmTJl6NChg2hk+TfxVzQnJyeLBp+KFSuir69Ply5deP/+PRcuXCAhIYEVK1Ywa9aswpLzS/yq5vv37+Pp6cnRo0epUqUK/fr1Y+bMmWRmZhIXF4evry8PHjzAzc1N3GyX51tof6WsU1NTWbJkiXhQ6uLigqGhIXfv3mXFihWcP3+ewMBA8TA9OTmZ9evX4+fnR2hoaJFr+/8WpOffa9eu5ejRo8TFxVG3bl2ePHkC5KUMsLGxEW+EA7x48YJdu3bx22+/8erVK9TU1DA2NqZ79+7ixrO8bLD/GQsWLCA6OpojR45QoUIFsT1++PCBdevWsXHjRqpVq8by5cvFSEQAV69eZcaMGfTt25e1a9eKfy9oXSIv/KyvOXXqFL6+vkRHR9OoUSM8PT3p1KmT+Bn4Y0N97NixXL16ldDQUPT19f+5h/8vePr0KdOmTePGjRt06tSJoKAgKlSoIBp8IG/Oam5uDuSl6VqwYAGAaPARDllnzJghGpGLItHR0RgZGVG/fn327NlDrVq1xMOx9+/fc/bsWcLCwnj58iUKCgoMGzaMDh06yETek+c2LdTxsLAwxo0bh4GBAdu2bUNNTa3AZ5dur69eveL169d8/fqVBg0aUK5cObk7IH737h3t2rXj+/fvODo6iqnlpE2Hy5YtY926dQCiwSc3N1eMaPT69WscHR05fvy4TOrcVatWiVHapH8r6cM5eUC6zHJzcwkODsbLy4vjx49Tu3ZtXr9+zZo1a9i6dStmZmasW7dObL+7du1CIpEwffp08TCpKPAr7e7MmTN4e3sTHR3NiBEjmDt3Ls2aNQN+7Pvz/4by2qYLejZ7e3sCAgIIDw+nRYsW4vuko7nMmzePUqVK8fXrV758+UKtWrX4/v07s2bNwtraWvycvPPo0SMGDRpEvXr1OHz4sDheZWZmYmxsTFRUFAsXLmTu3Lk/XBbIyckR02nWq1evEJ7+1xHqY1ZWljj/FEwPCgoK7Nu3DysrK7KyssjOzsbCwkImYhNAcHAwzs7O1KhRg+3bt8tcECoKZGRkcPLkSb58+YKCggIuLi58/PiRRYsWMXPmTJnyled141/l+vXrYoQtbW1tunXrxu7duwt8b0pKCqamply8eJEVK1aIKdvlmatXr7Js2TLi4uLo2bMnDx8+5O3bt9jb2zN9+nTRdCxcYsu/lpaOhlsUEOrm3bt3qVatGrq6uoSFhWFgYADIzicWLlzItm3bKFWqFL6+vvTr1w8NDQ3xu2JiYpg8eTIpKSkcPXpUJgV0CfKHRCLB3t6ezZs306lTJx4/fszx48fFaFr5+6yzZ88ydepUkpOTmTVrFs7OzoXx2CWUUGwoMfeUUMI/iPQiNisri1OnTmFubs6ZM2do3bq1zHtNTU05efLkfzS7FPTd8kRx1FzcyF9GaWlpDBgwAH19fRYtWkStWrXE1wTTx5YtWwCYPXs206dPl4l+UBQojpqh+Oouzkj3s76+vuzfv5+PHz/y9etX0tPTkUgk6Ovr4+zsLJOiC/4w+MTExDB48GAWLFgg3kySd6R1u7u7s2HDBr59+ya+3qFDB/r27cvChQv/NePQ39GcnJzM1KlTxahbVatWpXr16tStW5d+/fphbGz8w3fLE7+iuU+fPlhZWaGoqMjt27fZtm0bR44cISkpCQ0NDdLS0oC8yAlLlixh6tSpP3y3vPF3ylp6U7JSpUo0adKER48e8eLFC5YvX868efNk/h9Pnz5FU1OzJOyyHLBq1Sq8vLzo3r075ubm6OvrExERwYULFwgNDUVTU5PFixfLGHwEUlNTUVRUlDkAltfDB+l6nZaWRteuXXn69CmdO3dm27ZtPzX4qKmp4ejoSI8ePXj69Cnr1q3j7t27bN26tUhE7JHW/fHjR9TU1GRuvJ88eZK1a9dy/fp1hg8fzty5c8WxWPg9rly5wsiRI6lduzZ79uyhZs2ahSHll5Gej759+5Zx48Zx69YtOnbsSHBw8C8bfOTN3PBn5B9TpNuhRCIhKyuLOXPmcPDgQTZv3syoUaNkDpakyR/VRN7a9J9FXVm5ciVr1qzh+PHjdO3a9U/fW5Sit6SmprJ7925Wr15NSkoK1tbW2NraAn8Y0QCWLl2Kr68vULDB5/379xw6dIiIiAi0tbUZMmSI3M/F4I82nZ6ezvfv3ylXrhy///47b9++FdcXO3fuZOHChRgbGxMQECB+dtu2bWLKrpSUFObPn8+yZcsKT8wvIt2P3b59m7dv3/LkyRNq1qxJ+/btKV++vPje/AYfCwsL0Ywob+33Z3h5eVG5cmXGjRsH/FgfTU1NOXfuHGfOnKFFixbk5ORgaGhITEzMD9Fc4uPjsbS0xN3dnRYtWhSptg6wf/9+ZsyYwbp16zAzMwPyfo8BAwb8oDc9PZ2IiAi6d+8uc0Au7whlkpqaiq2tLfv27WPEiBG4ublRqlQpIM/UaG9vz+nTp9HW1sbBwUGMJCeRSFi9ejWBgYGoqqpy8uTJInsRTHqusX37dlasWMGnT59YtGgRM2bMkDE8ATx+/Jhy5coViSiwf0ZgYCA2NjZAXorrwMBAqlatKqNVqCdbtmzB2toaOzs7Fi1aVJiP/cvEx8ezePFiIiIiUFRUZOLEiWIUX+k+Sejr8ht8PD096d27d5Ew+OQfZ4S5yOzZs1m9ejUgW8+trKzYunUrOjo6TJ06lQ4dOtCpUyfOnz9PQEAA165dw8PDQ5yblyDfXLt2DV9fX0JDQwHw8/MT08YWNAc5e/YsM2bM4MuXL0VmTlZCCUWVojP7LaGEfwHC4nXBggXcuHGDgQMHYmRkROvWrcnNzUVBQUHMwbxz507R7DJgwID/aHaR142a4qi5uLB7924MDAwoV66czIQuMjKS169f8+DBA0qVKsXMmTOpXbs2kJe2aeLEiQCsX7+eDRs2oKioiKmpKaVKlfohQoi8bVQVR81QfHWX8Ec/KxymdO3aFRsbG3R1dXn9+jXr1q0jPj4eW1tb3N3dC0zRtWLFCo4ePYqpqWmh6firCLqdnZ3x8PCgZs2aTJw4kdzcXE6dOsXt27eJiooiISEBHx+ff8V49Hc06+josGXLFiZPnkx4eDiKioq4uLjImLjk+TDpVzU/e/YMX19fmjdvzqJFixg5ciT+/v58//6dr1+/YmRkRMeOHcWIGPKsGf5eWWtqarJq1Sr09PQ4cuQI4eHhVK9enTVr1jB58mRAVrd0ysYSCo+wsDC8vLxo3bo1rq6uYoq0unXr0qdPH5o0aYKnpycuLi5IJBIx0pYQLUJIEyE9TsvjeJ3/kPTVq1eMGDECHx8frl69ysSJE0XTh5Cia8GCBWhqauLp6cmSJUtQVVUlMzMTyGsbRcHYI6173759HDt2jDp16mBpaSlG3xo4cCCKioq4u7tz6NAhUlJSGDZsGKNGjUJBQYHLly/j5eVFeno6s2bNkntjj3BgkpaWxqlTp7h37x61atXi1q1bREZGypT1z1J0KSkpYWFhUSSNPW/evKFKlSpiOxReU1VVpUePHhw8eBBvb286depE9erVf3gfIKZjk8c27evrS6VKlRg8eLBM+eTm5iKRSIiPjwcQjbUFHegL2l69eiWXUXoKQlNTk3HjxqGqqoqDgwOenp4A2NrayqSSW7FiBZD3O5mYmMik6MrJyaFixYrMnDmTWbNmkZaWJvbh8jwvEfaCUlJS6NixIzo6Ohw7dowGDRpQu3ZtMY3zpk2bqFChgpimRUgFUrduXZo1ayZG8xk5cmQhK/rPCJohL7JeYGAg79+/FyMuVa1alVWrVtGlSxfKly9P//79UVBQYO3atWLaY8HgI0/t92ecPXuWVatWUalSJTQ0NBg2bBiKiooy9VKo558/fyYnJ4cBAwaIEXvyp2lauXIlCQkJYtuWZ2OPMGZJ97lZWVkAfP78Gcjrswoy9kCeuc/BwYHx48djaWlZOCL+Ijk5OWIqlxEjRhAbG0uXLl0wNTVFS0sLyNNcqVIlHBwcyMzM5OzZszg4OIiXCJ49e8bjx4+pV68eO3bsKBLGnvz7Wx8/fqRMmTIyY5mZmRmKioosW7ZMjDI2ffp0cc62Y8cOAgICmDJlivjeoobQrs3NzZFIJNja2hIZGcm+fftYuHCh2A6EegJ55nTISycqjwQFBdG4cWPat28vPn+9evW4efMmampqZGZm8ubNG+7evUuzZs1k2rzQ1+VP0WVubk5QUBB9+vQpTGm/hPSYBYhRHzdu3IiioiIrV65EXV1dNPh4eXkBeTrXr1+Pt7c3zZo1486dO2IkUeFCVMlesPzTqVMnMaXWkSNHWLNmDTVr1qRTp04/pAkF6NevH76+vuK+WQkllPD/R0nknhJK+IdJSkqiR48evHjxAnV1dSpWrMi5c+dk8u1Ku7wFs0ulSpU4duxYkVjU5CcpKYmePXvy/Plz1NXVqVChAuHh4T/VPGHCBE6cOEHFihXFjZ0S5Iv169ezZMkSDAwM2LhxI2XLlpV5/ejRo7i5ufHgwQPMzc2ZNWuWaPqAvI2MoKAgNmzYgKqqKgsWLGDMmDGULl36n5byyxRHzVB8dZfwB0eOHGHy5Mm0adMGX19f8XAY8vp3CwsLTpw4QaNGjXB1df0hRde5c+f4/v07Q4cOLYSn/2vkT1VkampKixYtWLJkCY0aNQLyIpKcO3cOd3d3Pn36xLRp03BzcyuymxJ/V7Orq6tMBB8hRVejRo3w9/enWbNmcnuY9Hc0m5ub4+bm9qepP0C+N6j+F2WdnZ3Ny5cvSUxMRFdXV5yjyWtZF3fWrl3LihUrxBt2EolEZoP2/fv3bNy4kfXr11O+fHnmzp3L3LlzAflOQyWNdN1zdnZm586dvH37lh49ehAbG4uioiLJyckyaZukP3P48GH27t3L27dvadiwIYaGhmKaLnmu19Ll4+rqire3Nzk5OTg7OzN8+HDKlCkj0x+dPn0ad3d3bt26hUQiEcfyFy9eoKqqKt4gB/ntxwTNKSkpjBgxgvv376OhoUHv3r25fPkyaWlpfPz48acpukJCQsTDhNWrVzN79uzClPOXWbZsGbt27cLW1paePXuK+wLS5TVq1Ch+++03goOD6du3b5FpxwAnTpxgwoQJ1K9fH0dHRwwMDH4wYNnZ2bF582Y2btzI2LFjf2ijwn9/+/aNoUOHYmFhwbBhw/5pKb/E8+fPUVZWlkltnJqaysGDB3FwcCAjIwMrKysxioF0BB8nJyd8fHyAvMhUvXv3/mmkpqJAVlYW06dP5/z58wwcOBBPT0/RmATw8OFDOnfuTNeuXTl69KjMZ+fMmUNERATXr19HIpHIvWlPur2uWLGCtWvXUrduXczMzFBTUyMmJoajR4+ipqaGvb09Y8aMEdffZ8+eZc2aNeKluXnz5hWJqKgfPnxgw4YN+Pj4ULlyZVauXCmaLoV9QCGazYABA3jz5g23b9+WScUl4OPjg4uLC+PHj2flypVyHc1G6H+/f//O1KlTsbKyon379oSHhzNixAimTp3KkiVLRANMQUYmCwsLDhw4wN69e+nZs2fhiflFhPqdmprKoEGDuHv3LrNmzcLe3v4Hw6bQV7148YITJ05w7Ngxrl+/Tm5uLq1ataJ79+5MmTKFatWqFZacX0baeLxx40aio6N5+vQpFStWpHv37gwbNkxmL3/nzp0sW7aMT58+iRHJoqKiWLduHW/evCEyMrJI7IP/bJ4snVJSiK4GecY8YZ0hEBMTg7m5OR8/fuTIkSO0a9fu///B/wJ79uxh9uzZtGrVin379olR1Z4/f07//v3p1q0bnz594sKFCwwYMABLS0vR/CK0B+lUuKmpqSxYsIDQ0FAuXrxI3bp1C03bryBdxkePHqVHjx7o6uoSEREh7u/9LIKPkKJLSUmJBQsWYGxsTOnSpUUTlzyvs4o7wvglXUaxsbF4e3tz8uRJevXqhZ2d3Q91XZqUlBTR0FlCCSX8/1DSg5ZQaGRlZXHnzh0OHTrEnj17iI+P59OnT4X9WP+vSCQSdHV1OXbsGK1btyY9PZ3s7Gxu374t8z5lZWWys7OBvEm/sbEx7969o2PHjiQlJYkTw6KAoPno0aOi5pycnD/VvGPHDoyNjXn//j2dOnUqcpqLA7169aJBgwaEhYUxe/Zsse0Kt82MjY2xtbWlUaNGBAYG4ufnx7Nnz8TPlylThkmTJjFnzhwkEglOTk4cOnRIrsu5OGqG4qu7OCKUaX7u3buHoqIic+bMoXHjxmLZZWdno6uri7e3N507d+bBgwfY29tz5coVsT8H6Nu3r7jwz83N/X/X8XeRSCTiAVhqaioAr1+/ZtasWTRq1Ej8ferUqcPYsWNxcnJCV1eXw4cPiyFqixr/jebTp08DefM5IYJP//79RaNffHy8XG7W/F3NR44cEcs5JydHZpNOuj+TxwNx+N+UtXDDsnbt2rRv317cdC6qh4n/ZoTyvH//PoBoblBQUJA56K9YsSKGhoaUKlWK9+/f4+fnJ6Z8KSqGAOkUcx4eHrRq1YqwsDCOHDlCREQEzs7ONGnShGvXrjFp0iQ+fPiAoqKiOE4NGzaMoKAgzpw5w4YNG4qEsUe6PTs5OeHm5kb79u05efIk06ZNE2+ACxFSAQYMGIC1tTUdOnRAUVGRL1++0LZtW3x9fTl06JBo7BEiq8ojSkpKZGRkMGbMGCIjI5k+fTo3btxgw4YNhIWFsWbNGpo1ayZT1tIRmUxMTMRbxt26dStkNX+N+/fvExUVxcePH7G1tWX06NFYWVmRkJBAcnIykDcv69mzJ6mpqaxfv16mnhQFWrVqxeTJk3n58iXOzs6cOXOG9PR0AHGcFS4QrFixgocPH4o34iFPv9Bmvb29uXnzJsnJyXK55rhx4wZdu3bF1dVVjN4BeRF8RowYwerVq1FTU8PLy0uM7iBENgFk0mEOHz6cCxcuoKCgILdttyCE6CWQZ/64fPkyY8aMYc2aNWhqasqsGQRj6u3bt4mOjhb/HhwczNmzZ+nevfsPKSTlFaGM9uzZw9q1a+nZsyfbtm1j3rx5zJgxg8DAQLp06UJKSgpxcXEya6p+/fphbW1Ns2bNOHz4cJHZP61QoQIWFhbMmzePt2/f4ujoyKFDh4A/ou60bt2aBg0acPr0aR48eCC+X9rYs23bNjZt2kSdOnWYN2+eXBt7ADHV3NixY8V5SU5ODnXr1qV+/foEBQXRu3dvrl+/XqCxJyAggOPHj9OnT58iYeKCvPqdk5PDihUruHnzJrNnz8bOzu6Htnn//n0SExP59u0bNWrUYPr06Zw+fZqYmBiioqI4e/YsixcvLhLGHulIRcbGxqxatYrY2FgyMjK4ffs2Li4uDBs2jKioKPEzpqamrFixgmrVqrFmzRr69++Pra0t2dnZ/Pbbb0XC2JOTkyOOue/fv+f+/fu8f/+ezMxMVFRUxLnX5MmTWbt2LQBLlixh4cKF7Nixg5cvX7Jjxw6WLl3KixcvWLZsmdwZewDatWtHjx49MDY2pnz58kgkErKzs6lZsyaRkZFs3ryZJUuW0KdPH5kUioCYoksYn5OSktDU1MTb25vY2Fi5N/bAH+ssJycnJk2ahIuLC1lZWfTo0YMjR44AeRF8HBwcAMQIPgBr1qxh0qRJ5OTkEBgYKLZ3KNk/kDeEvQNhzvz27VtycnJk9ojbtm3LggULGDBgABcuXMDFxUWmruefb5cYe0oo4f+fkl60hEIhJSWFKVOmYGhoiLm5ObNnz6Zv377Mnj2bS5cuFfbj/b8hLHRq1qzJ1q1badmyJa9fv8bDw4PXr1/LvFfa7BIUFESvXr2wtLREV1e3SG3aFEfN/3Zyc3Np0qQJ27dvp1GjRjKmDyFsNsDQoUN/yfRhampK5cqV6dGjh9yWc3HUDMVXd3EjNjaW58+fizczpJFIJMTGxoqhhOGPhZ+ysjK5ubmULVsWX19fypUrx/3797G3t+fSpUsym9EC8riAF/QIdXLGjBlUrVqVgwcP0rFjR7p27QrIPruOjg6GhoYMGjSIjx8/8ttvv/3zD/5f8L/UrKKiQk5ODtra2gQGBtK/f39+//13hg4dyoMHD/5hZT/nf6H56tWrQN5mvfA9ioqKct2f/S/L+meHxPKsv7iQ35wplJVwEB4TE0N2dnaBBsuOHTvSpk0bqlWrxps3b1i6dOkPJnx55/bt2/j5+VGzZk0cHR1p164dubm51K1bl7Fjx7Jx40aaN2/OtWvXmDhxIu/fv0dZWVk8XNbQ0EBDQ0M0QYF8jlcCQpsLCgrCx8cHAwMDXFxcxNuTApmZmeLhCoCRkRFz5syhTZs2vHv3DkVFRVq1akWrVq0A2YMaeSUsLIwrV65gZGSEtbU1GhoaZGVliamcNmzYIBp8hLKWNviMHTuWhIQEmjVrVshK/hqNGjUiNDSU7du3M3bsWD59+sTWrVsZOnQo8+fPJzo6GmVlZczMzKhfvz4RERGiMVMezS35kUgkVK1aFVtbW8aNG8eTJ09wcXHhzJkzpKWliXV+2rRpGBgY8O7dOxYvXszvv/8u1lnBJBAUFERQUBDt2rUT0xnJG/Hx8aSnp5ORkSEToQb+nsHHxMSE06dPy6XWn6GiosK3b9/w9PTkzZs3qKuri+ny8psrGzVqxJQpU0hKSmLBggV4enoybdo07OzsUFZWxsrKSowSIe9IJBKysrI4duwYmpqaODo6yvRHXl5eREREYGRkxPTp06lYsaLM5/v06SNGQygK6VwEypUrx7x587CysuLdu3csW7aMffv2ia/Xq1cPDw8PlJSUyMzMJCEhgUePHvH06VOePXuGtbU19vb2ZGRksHXrVrlN3wOyc7K9e/eK6+PFixejpKRErVq1GD16NDk5OTx79ozBgwczZ84cGWPPhg0b8PT0RE9Pj1WrVqGrq1sISv6cDx8+FPj3lJQUIiMjqVWrFkuWLJExYe3evZtJkybRtWtX+vXrx9y5c0lMTBT771q1alG3bt0fzOjyjGDiGjVqFDdu3GD69OnExMRw4cIF4uLiGD58OK9fv8bc3JwXL16Inxs3bhweHh6YmZmhr6/PuHHjOHXqlEyUZHlFOgrounXrMDY2pnPnzvTv35+JEyeSmJiIqqqq2BYmTZokGnwEM+Po0aOxtrYmJSWFtWvXMm3aNPG75YXc3Fzq1avH9u3bmT9/Pt+/f2fOnDlcv36dnJwcdHV1xbm0paUlffr0ITQ0VMbgI9TtQ4cO4ezszMOHD9HU1Pyhb5dnDh48yNatWzEyMmLs2LGoqKggkUh+yeCzdu1azM3N+fr1K+PGjeP8+fNAyf6BPJGdnY2SkhJpaWl4enoyevRounXrxsCBA5k2bRqPHz8W555t27bFysqKAQMGcPHixf9o8CmhhBL+f5HvnZsS/pWkpKRgaGjIiRMn6NSpE/7+/tjY2NCvXz/CwsKYPHky4eHhhf2Y/zU/m5AKh6c1a9YkODiYVq1aERkZyYwZM/7U7BISEiLmF5enya40xVEz/Odn+7dNboQbkg0bNiQoKOi/Nn3MmTOH8PBwub61UBw1Q/HVXZyIj4+nX79+tGzZko8fP/5wqKegoCCmC4iLiwMQc4hDXh3JycmhTJkyVKlShSpVqvDgwQNmzpzJu3fv/lkxf4FLly7h7u4O/GhYEG7BBgQEEBcXR2xsLPDjBkS5cuUwMjIC4PLly3z//v3/+7H/K/4/NQt9gWDw6dSpk7ipV5gUx3KG4qtbmpSUFHx8fEhMTCzsR/lHEMr55MmTvHnzRvx78+bNUVZW5tSpUyQkJIh9NvwRCQHyNvU6d+7M0qVLcXV1pXnz5v+8iP+AEHGqoHn169evSUpKYujQoTRu3JicnByxTispKdG8eXNcXFzEW7aC6UNFRUWu1xjwc93JyckcOXIEHR0drK2tadKkifjanTt32L59O8OHD2f06NEcP35c3GQfNGgQlpaWtGjRguDgYDw9PXn48CEgP9GahHZbUFk/fvwYyJt3CqYd6UP9Zs2asXTpUipVqiSWtRDBRzBzaWtr/wMq/j4F6Rbq8+DBg/H09OTMmTOMGjUKDQ0Njhw5gpGREWZmZoSFhTFx4kSUlJS4ePGizGflGeF2e6VKlVi0aBGTJk3i1atXrF69mrCwMNLS0sT3zZ07l9atW3P+/HlGjBjBsWPHiI2N5cmTJ9jZ2bF06VKUlJTYsGGD3B6ejRgxgkOHDuHp6Ym6ujrnzp2TOfT9KwYfIb3ckydP/nkhfwOhfkskEkaOHMnq1auZO3cuGRkZ4j5QQSbDCRMmYGJiwv3791m9ejUHDx6kfv36HDlypEitLRUUFHj//j0XLlygc+fOtGnTRvxN3NzcWLVqFQYGBtjZ2dG2bVsAMWqXgJGRUZGIigqIZZqTk8P3799p0KAB3bt3582bN7i7u3PgwAHxvd27d+fQoUNUqVKF48ePY2RkhIGBAd26dWPLli00bdqU0NBQGjZsWFhy/iNCKhNhzH3x4gWlSpVizpw5aGtri0ZTKysrJk6ciEQi4eTJk2zYsIEdO3YQEhKCmZmZuA+6e/dumZTn8sKSJUsYOnQod+/e/eG158+fc+fOHdH4APDlyxcmT57MnDlzOHv2LLVq1SIrK4vjx4+zevVqmUtBwphVFMYugYCAADFq4LJlyyhTpgxly5ZFT0+PFy9eUK5cOQYOHCgTiQryoip6enpy7NgxvLy8qFOnTiEp+GsI5bpixQqWLVvG27dvadSoEZmZmZw+fZqBAwdy9+5dmf3CSZMm4eXlJX5Hq1atePLkCQcOHGDSpEmA/ETNFPa9hGcRym358uXs2bOH5cuXc+fOHZn5WpcuXViwYAF9+/YlNDSUdevWidGadu3ahb29PSdOnJD7OSj8eGkkPj6e0qVLs2jRIjGKmJAK9FcMPh4eHpibm/Pt2zcxSlcJ8kH+yGPOzs5cu3aN7Oxs7t27x9GjRzExMWH//v3iPlLbtm2xtrYWDT4eHh7iJbii1G+XUMK/gcIfMUsoVmRlZbFgwQLu3LmDlZUVO3bsYOTIkSxevBg3NzfKli2LqqoqsbGxBd74LypI33p88OAB58+f5+TJk0RHR/P9+3fxtRo1ahAUFESrVq347bffmDFjhsyGPMgeooL8hi4sjprhP+sG2ZD4/xb+l6YPPT09MX2APFMcNUPx1V1c0NfXp0mTJrRo0ULmcEx6DO7duzeQtylx+fJl4I9bGULKB11dXSpUqED79u0ZMmQIc+fOldsw2h8/fmTo0KG4uLhw9OhR8e+C5oMHDzJ06FAyMzPJzc3l3r17gOxhm1DnmzVrRunSpcnKypLrhew/oVna4HPgwAHu3LlTqBuUxbGcofjqliYnJ4dZs2bh5OTEy5cvxb/92/Hz88PU1JQ7d+6If+vbty+dO3fmxYsXTJgwgbdv34oGDgUFBRQVFYmMjOTOnTu0bNkSS0tLmfRM8sLFixcZPXo09+7dk7kVKPxTMIMI6W2ko2sJNGvWTDQtRUVFMWPGDD59+oSioqLcGvF/phvg27dv3Lhxg9atW9OuXTvxtZ07dzJjxgwsLS25cuUKly5dYvLkyZw6dUr8rKGhIXZ2drRs2ZJdu3bh5+dHfHz8P66vIOzs7Bg6dCj3798vsKyFFFRCZLiCTKStWrWiXLlyQF5ZDxs2jI8fP4rzHHnuz6SNaYmJidy9e5fbt2+LpibIM340atSItWvXcuzYMaysrGjYsCHHjx9n6tSpbN68mZycHPz9/Xn69Knc1m9psrOzUVZWJj09HYlEQoMGDWjTpg2PHj1i3bp1hIWFkZqaioKCAu3bt2fp0qX07t2bly9fMnHiRPr160fbtm3ZvHkz1atX58SJE9SvX7+wZRWIRCJBXV2d7t27U6pUKXx9fRk5ciRbtmyRufj0qwaf1atXc+rUKebMmVMoev4KQnoSoZ67ubmho6PD77//TnZ2tphKsqDxp2XLlnh5ebFp0yYcHR0JDg7m4MGDcp++Rnr+IW1ekv67goICrq6uuLq6YmBg8EM0Hz8/PyZMmCCWuTTyuk8GfxwapqSkYGpqipGREbNnz+b58+fk5uby9OlTli9fLqboAujRowcHDhxgxYoVdOzYkfr169O3b1/Wr1/Prl275L68hegHNWrUoGXLljx48IBhw4ahpaVFTk6OTDQTb29vrKys0NPTw8vLi3nz5jF16lQuXbpE//79CQ0NlcsoLomJiZw+fZr79+/z9OnTH17X19enQ4cOxMfHY2VlJaYsOnLkCD169BAjy7m6uqKjo0N8fHyRGKf+jN9++42yZcuyaNEiMVJRbm4uffv2JSYmhokTJ7J48WJ0dXVJTk7m69ev4mdVVFTQ0tIqEmkFpcspNDSULVu2MGDAAE6ePMnFixcJCwuja9euPHr0CDMzM+Li4mT2C6dMmYKnpyeQZ1w7evSoaMKVTq1ZmNjZ2dGzZ0+ZyGICM2fOpH///ly7dg07Ozvi4uIKNPj069eP06dPM3fuXExMTLC2tiYnJ4cDBw6IF+fkGWGtKBhOT58+zbBhw2QufwhlVZDBZ+nSpUCewUcw1nt4eDB9+nQ+ffqEjY0NKSkp/6CiEn6GdOSx27dvM3v2bG7dusXly5cJCQmhZ8+evHz5kpUrV3Ly5EnRbN+mTRusra0ZOHAg586dw8/PTzRzlVBCCf8chT9qllCsePjwoZgTe+HCheLkVSKRMGHCBL58+cK4ceOYMWMGysrKRXIjXjo8paenJ0OGDGH48OGYmprSv39/Jk+ezLZt28T35ze7TJ8+/Qezi/QGpDxuRhZHzfDXdAsGiaKO9MLl75o+tm/fjqenJwkJCYWk4q9RHDVD8dVdnBA2mK9cucLJkycpXbo0a9as4dmzZzLpSrp168agQYN49eoV/v7+xMTEAIi5wwEiIiK4cuUKgwcPJjg4WEwTII/9Xrly5fDw8GDIkCH06NFD/LtwqAR54aKNjY3JyMhgyZIlxMTEyBwyCn3/rVu3+Pr1K23atPkhrYI88U9pFvoCLS2tQjd3FcdyhuKrWxphvAJYunSpeIu6qB8c/Bm5ubniOLxmzRqxf1dTU8Pf35+mTZvy4MEDhg4dyokTJ3j06BGQZx5xdnYmMzNTJvILyM+BYWpqKj4+Ply5cgVHR0cePHgg1ldhDBIO8a9fv87vv//+w3fk5uaio6NDr169qFWrFg0bNiQiIgJXV1fS09Plcq3xZ7ohT1Pp0qW5fPkyZ86c4dy5c1hYWGBhYcHLly9xdHTk9OnTzJ49m5ycHNauXUtSUpL4+QEDBrBo0SLatm1LcHAwQUFBMim8CoMPHz4QFRVFfHw8dnZ2P2gGaN26NZCXai5/BFjIm9uULVuWXr160a1bN2rWrEl8fLwYAUmeEfoqgE2bNmFiYkK3bt3o0aMH7du3x8bGhitXrojv19DQoHz58jg6OrJz5062bNlC48aNRQOUm5sbderUkcv6LY20AWDSpEl07NgRZ2dn0XB28+ZNPD09OXv2LKmpqaipqdGtWzd27tzJkiVLGD58OG3btmXEiBF4e3tz8OBBuY7sIV0eOTk5qKurU6tWLbZt20ZAQMBfMvgI43qnTp3E75NXcnNzxdvhAwcOxM/Pj5YtW4rpqZKSkggODhYvTxV02U9XV5fRo0djZWXFkCFDqFChQiEo+XWk94ucnZ0JDg7m27dvKCsro6GhwcOHD3nz5g0uLi64ubkVaOw5cuQIx44do2PHjkUm9ZiAYHQZMmQIly5dYtCgQcTExHD27Fm8vLwYNGgQr1+/ZunSpTIGH319fSwsLDhy5AgnTpwgKCiI8ePHy20krvxkZGSgpaXF8+fPOX36NLGxsSQnJ4t1QXrvxNHRkf379+Pv74+joyMrVqzg2LFjbNq0SW6juJQvX16cNwwZMoT09HQZk4+ioiLz5s2jdu3abNu2jfXr16Onp4enpyfBwcHUq1ePihUr0qJFCyQSCaqqqkWubkvz7t077t69S4UKFVBTUwPy2v6AAQO4fv06VlZWzJ8/X4z+EhcXx8aNG0lKSirEp/7rSJuPAe7fv4+ysjJ2dnY0bdoUZWVlqlWrxv79+xk0aBDPnj1j8uTJPxh8pk6dKqbomjt3Llu2bAH+SPle2AhlOHfuXPbv3y/+XUj36+rqSr9+/YiKivqpwcfGxgYzMzMeP35MVFQU+vr6hIaG/rDWkmd+++03XF1d2b9/P1++fBHLXtgjhD/mM9IGHwUFBXx9fVm4cCHwRwp3yJuXzp07lz179qClpfUPKyrhZ2zevJlr164xfvx4HBwcKFOmDLVq1aJdu3bs379fTLXn4eEh09e3adMGCwsLhg8fjoODQ5EwKJZQwr8NhaSkpH/vLmcJcseOHTuYN28eAQEBjBgxAsibIPXv35/Y2Fhx0qujo0NGRgZxcXFUq1aNKlWqFPKT/3VWrVqFl5cXVatWpV+/fmRkZBAeHi6GsZs/fz5LliwR3//ixQsmTZrEzZs36dChAwEBAVSvXr2wHv9vURw1w1/TLX0QUdQQNpxzcnJ48+YN1apVE6MSKSoq8vDhQyZNmsSDBw8wMDBg48aNlC1bVmaj+ujRo9jb25Oenk5kZKTcb8gVR81QfHUXR6RDH+/cuRMLCwsqVarEmTNnqFGjhvj68ePHcXV15cGDB3Tr1g0zMzNMTEyAvIW/p6cnt2/fJjg4mK5duwLy399lZWWhoqKCvb09qqqqLF++HID09HRxYTplyhQOHz6Mjo4OwcHBtGnTRtyYi46OxsHBgdjYWIKCgjA2Ni40Lb9KiebioRmKr26hz/r69SsDBw7k3r17rFy5kjlz5sh1f/TfIPS13759Y9SoUURFRWFra8uiRYvE/l16g11LSwstLS2qV6/OzZs3yc3NxdnZmVmzZhWykp9z584dVq5cydmzZ+natSseHh40atRI3Ex/9+4dZmZmxMbG4uTkhIWFhTgfkZ6bLF26lIiICFatWsWCBQuQSCSEhIRQq1atwpL2p/xMt4C7uzsuLi6iAUZLSwsjIyMmT54sc9jfoEEDatasyYkTJ9DU1JQZn48dO4a/vz8eHh5yESHg3r17ODk5ER4e/kNZKygo8ODBAyZMmMDjx49ZuXIls2fPFuu50O8B9OnTh7p167Js2TKys7OpUaNGYcr6j0iXiZOTEz4+PlSqVAlDQ0Oys7OJioriyZMn6OvrM3/+fIYPHw78mMLi1atXPH78mE+fPv30PfJIWloagwYN4uHDh4wfP55Fixbx7ds3Xr16xcqVK4mOjqZRo0bY2dnRr1+/HwynaWlpYrSEokZGRgYHDx5kzZo1vH//HnNzc6ZNmyZzuz81NZWDBw/i4OBATk4Oc+fOZfHixYX41H+PjIwMxo4dy4ULF5g2bRorVqxAXV2dW7duMWjQIFJSUhg5ciT+/v7AHxGdCkLe1xnSeHp6snr1ajp37kxgYCCVK1fG0tKSoKAg2rZtS2xsbIHGHmE8//LlC1u2bKFdu3aFqOKvI5FIWL16NV5eXkybNo3ly5fLtNMnT56wefNmAgICqFq1Kk5OTowcORL4seyLSnkLc46PHz8yYMAAnjx5Qu3atQkODqZZs2Yyc5Ki0DcXhHRZpKen07VrV7S0tPDz86Nx48YoKCiQlZXFp0+fiIiIQF1dnQEDBqCioiKjd/Xq1Xh6erJixQosLCyKTBnn5+vXr/Tp04esrCwxnVPfvn1ljD06Ojri+3v37o2Kigr79u1DV1e3kJ7677No0SLU1NT48uULenp6rFixQiw7oX6npaUxbdo0Tp48KZq8WrRoIVP/g4KCsLS0BPL21As7+px0/RP6bAUFBTZt2sSoUaOAP9psQkICtra2nD17lg4dOuDq6kqLFi1k6m9ubi63b99GQUGB6tWrF7kI5u/fv2fv3r2sX7+ejx8/0q5dO06ePCmmNJZuy8J6TEFBgQsXLmBiYoKtrS329vbie/5sPC/hn+FnY86ECRO4ePEiFy9epG7duuL7hDLLzMxk/PjxnDt3jr59+7Jr1y5UVFRkxoESY08JJRQOJeaeEv5RfH19Wbp0Kb6+vpiampKZmSne3sg/6X3z5g1jx45lzpw54kRKnpEeJKOiopg4cSJt27bF0dFR3IS9desWp0+fZu3atWRmZuLg4IC1tbX4HS9fvmTcuHHcvXu3SBykFEfN8L/RXdQQJnVpaWksX76cEydOYGNjw9ixY1FVVf1Lpo+TJ0/SpEkTuT1IESiOmqH46i4hjxEjRhAeHk6VKlU4deoUNWvWFF87ePAgAQEBREdHA3m5lgFu3LhRJA6HC+L27dtidBPpflp6gTp16lRCQkLQ0tKiV69e1K9fn7S0NM6cOcPLly9Zvnw5s2fPLjQNf5USzcVDMxQv3dJzM2Eci4iIwMzMjMaNG4sG8qJ6kCKN9DgrIGi+desWw4cPp3Llyvj7+6Ovry++lpKSwqpVq4iLiyM2NhY9PT3q1KnDxIkTGTNmDCC/B00SiYT4+HgcHR25ePEiXbt2xd3dXcaMsnXrVqysrABwdXVl7NixolkN8iK9zJs3j7Zt2+Lu7s7ChQvZu3cvGzZsYNy4cf+4pl/hV3T7+/tz+/ZtPn36xOzZs2nUqBHly5cXXz969CiTJk3CwsJC5gBG+hDj+/fvaGtr/+P6CkIikXDv3j2WLl3KhQsX6Nq1K25ubujr64vv2bRpk3hgsHr1akaOHCmjOSgoiJUrV2JpacncuXP/cQ3/DVu2bMHa2hoDAwOcnJxE3a9fv2bMmDE8evSIqVOnYm1tjZ6e3n/8Pnlt0wLCgZBgADA3N8fJyQltbW2x73r58iWrV69m3759NGnSBBsbGwwMDGRMAgXVa3lGKBehP8/IyODAgQOsXbv2Tw0+ISEhWFlZkZmZyblz52jTpk0hqvg1pMesM2fOMHfuXCZPnsz8+fPR0tISyzkuLo6BAweSkpLC6NGj2bRpE1A0DwSl293Dhw8ZO3Ys+vr62NjY0KJFCwBOnz6NhYUFHz9+pG7dunh4eNCrVy/xOyIiIvDw8CAyMhJvb29MTU0LRct/y5gxY4iIiODatWvUqlVLjMwktNNnz57h7OzMwYMHqV27NosWLWL06NFA0TH05EcwmiYmJmJkZMTjx49p27YtR44ckanzRRXp53/8+DFmZmbcv3+fXr16sXLlSvT19QssN2kD7vbt21m9ejUVKlRg3759ReJCb0HjaU5ODjk5OZibm3P8+HGcnZ05ceIEV69eZeHChSxYsEDG2OPq6oqHhwd2dnZYWloWuXogvbYsXbo0AwYMwM/PTyZKWUEGn/r16+Pv70/Lli1lfsft27czf/58IK8vKF26dKG2eenxysPDA2dnZxQUFNi4ceMPa6VfMfgUFX42V/zw4QP79+/Hx8eHxMREFi5ciL29vRhlKf9nhD771atXhR7FuYQ/8PPzo2vXrjLmYYH09HS6d+/O58+fCQ8Pp2bNmjJjr9AmHjx4wMCBA6lYsSKhoaGULl36n5ZRQgklFID8rvJL+FchbNoIUVkePHgAwODBgws09kBe2No7d+4UidCr+Sc1aWlpvH//HgsLCxo1aiSGFG7ZsiXTp09n8eLFqKiosGPHDjG0dnZ2NtWrV2fHjh0EBgbKvcmlOGqG/43uooYQKv379++MGjWKwMBAdHR0qF69urjwyZ+2qWHDhj9N2zRw4EC5N3sUR81QfHWX8EeKroMHD9K3b1/evHmDkZERz58/F98jpAWwtbVFW1ubu3fvcufOHZo3b87GjRtFY488hFP+VZo3b86mTZtQVlZm9erVuLu7A3n5wYVUB1u2bGHo0KGkpKRw8uRJdu3axevXr2nfvj2BgYGi8aGo6C7RXDw0Q/HRLaRy2b17N4C4Ud6wYUP69+9PVFQUe/fuBeQn1dTfRSKRiOOxn58fhw8fBv7QXKtWLUxMTLh3754YSl5Is6ilpcXq1as5ePAg58+f5/z58+zYsUPujT1CGoAmTZrg4eFBnz59uHLlCra2tty7d09835QpU7CxsQHAzs4OBwcHdu3axatXrzh8+DCLFy/m8ePHdOvWDQ0NDTHdRUGpX+SBX9U9ffp01q9fz549e+jWrRvlypUTX4uJiWH9+vWULVuW3r17A3+E0JdOdyUvxp7s7GwUFBRo2rQprq6u9OrViytXrrBo0SIZzTNnzhTL2sHBgfnz5+Pt7c3ly5exs7PDyckJTU1NBg8eXFhS/hZv3rxhz5496OnpYWtrK2No2rVrF3fv3qVHjx6YmJj8krEH5L/PE1K8xsfHo6mpybx589DW1hbXJLm5uVSvXh0HBwe6du3KvXv3WLduHWFhYeI4JnyP9D/ljfxjqFAuQn+upqbGyJEjsbS0pGLFigQGBhaYosvExITVq1fj4eFRJIw9woFvamoqCQkJxMfHI5FIsLCwQEtLS0zVlZubS4sWLTh58iRaWlrs27ePmTNnAnljmLz20wUhkUjE8v3y5Qtv3rzh2bNnzJo1ixYtWoh1YcCAASxcuBB1dXWePHnCgQMHCA4O5uTJk7i5uTFp0iR+++03li9fLhp7ilJ6UYlEwsePH3ny5AlZWVliukAlJSWZdlq7dm369u0LwPPnz3F3d2fXrl2A/LZngfxp8ITyEQws5cuXJzQ0lPr16xMbG8vw4cPJyMgocnVaGqFvTk1N5fPnz9SrV4+AgAC6du3KhQsXWLJkiZhSMT/C77Jy5UpWrlyJRCJhy5YtRcLYI5jSsrKyuHr1Knfu3AHy6rOqqirDhg0DYPHixURHR7NkyRIsLS1lzjiCg4MJDg6mdevWjB8/vsgZewBx30dZWZmvX7+K6Zqk9wCFf9fQ0CAgIIAhQ4bw6NEjhg8fzsePH8X9RAAzMzM2bNjApUuX0NXVlas2b2Njw6xZs1BUVGT27Nniukp4/lq1auHu7v6nKbqKAkLdhrzLy4cPH+bt27cAVKhQgVGjRmFhYUHp0qUJCgpi06ZN4md+tj8gGJPlef+guLB3714WL17MxIkT+fLli8xr0mPWp0+fOHPmDCA79iopKZGbm4uenh7q6uo8fvyYN2/eFLl6XkIJ/1ZKIveU8P9K/k1iYUM1PT2dmjVr8vz5c2xtbZk1a5ZMOEp/f3+cnZ3p1asX3t7eRcYROn36dM6fP4+ZmRlxcXFi3uj8N05evXqFvb09J06cYPny5cybNw/48SauvG6yS1McNcN/r7uoIJRHamoqAwYM4MGDB0yePJkVK1aIuYiF9wmHBPmjuhgZGeHt7S1zo1aeKY6aofjqLo787BZkZmYmqqqqAIwcOZJz584VGMEH8qKuZWVloaioiLa2tniYKM99+J892/79+5k5cyYSiQR7e3tsbW0B2QgnZmZmHD9+HC0tLU6fPk3Tpk1/6bsLkxLNsvxbNUPx1Z2ZmYmBgYEYBn/8+PEMHjyY/v37A4ihwQFCQkJkbsUXZVauXMmaNWsAmDVrFoMGDaJz585AXqrEsWPHkpyczO7duzE0NAQK7vvlPdqF9Drh9u3bPHz4kNu3bxMQEICioiJt2rT5IZLN2rVrWbNmDSkpKUgkEjQ1NUlNTQXyfjchksvo0aO5fPkyR48elbtUJ39Ft1B2+dtpeHg4Xl5eXLt2DU9PT6ZOnVpYcn4JIRJAamoqYWFhXL16lffv33Ps2DHU1dXFiEvSZb1+/Xr8/Px48+aNzHfVrFmTvXv3yqQwkzcKisB18+ZNDA0NMTU1xdPTU/y7q6srbm5uGBgY4ODgQPPmzYG8g/AqVaqIB6ZFEYlEQnp6Op07d+b169eEhYXRvHlz0fQjvEdBQYHY2Fj69esHgL6+PgsWLGDw4MFynwpAuqwvXLjAw4cPefz4MfXq1UNfX5/u3buL7/2VCD5FLa1PRkYGLVu25MuXL/Tu3RstLS0CAgJ+ug8kHcFn3LhxbNiwoRCf/u+zcOFC9u/fz8SJE7l16xYnT54E8uqztAFo+/bt+Pv78+DBA/FwXEVFhXr16jFv3jy5N+D+J8aNG0doaCjr1q3DzMysQB1paWl0796d0qVLc/36dRo0aMC5c+dkjBHyhjBmZWRkEBYWRlxcHF+/fqVOnTp06NCB1q1bi+/9+PEjAwcO5Pfff6dDhw4cPXoUNTW1IhfBRyi7lJQUOnTowNevX7lz5w66uro8ePAAGxsbrly5Qq9evVi1apWMQTU1NZWIiAiWL1/Ow4cPad26NX5+fjRo0KAQFf0a0vMTa2trQkNDad++PV5eXjLRSVatWoWXlxcALi4uzJw5k5SUFJSUlPD09MTf3x91dXUxkk1RRnptuWDBApycnADZ8Uk6gs+4cePo0qWLTDR7eevTpMvZ3d2dO3fukJSUxI0bN4A8w4O/vz8jRowACo7g07lzZ5YtW0bbtm3lcl2VH+ny8vHxYePGjbx//56AgACMjIzEFKiJiYns3bsXDw8PNDQ0sLCwYNasWaLxQ57KsQRZPnz4wMyZM+nQoQOLFi2SWTcKc+1NmzaxePFiunfvzrJly2jZsiXw43ylVatW6OnpcerUKbmfe5dQQnGhxNxTwv8LwmAhTI6kN4z9/f2xs7NDIpFgYGDAnj17ZCYCfn5+eHt7o6WlRUhISJGJ+pCTk0OnTp149OgR6urqqKmpcebMGRo2bFjg+4Xwk127duXgwYMyh+dFheKoGYqf7qysLCwsLNi3bx82NjZYWlrKhEGHvFtppUuXlmnLDx8+ZOrUqdy7dw8TExPxQKIoUBw1Q/HTXdQ21P4X5N9wSUlJkUlbIn3YX5DBRzqctoC8Hw6DrO7r16/z/v179PX1ZeYYv2KAmDRpEkePHqV06dIcP36cZs2ayW09KtFcPDRD8dUNedoHDBhAbGwsNWrUIDExEUVFRYYOHcqqVavQ1dVl48aNODg4MHbsWJydnWUuFBRFJBIJw4YNIyIiAj09PZKTkylbtizDhg3DyckJdXV1goKCsLS0xMjICE9PTypXrlzYj/2Xkd4sdnZ2JigoiC9fvtC8eXOePHlCcnIyubm5BaaqOnfuHLdu3SIsLAxFRUUaN25Mz549xSihPj4+ODk50b17d4KCgn45Cso/wd/RLT3+RkVFER4ezubNm8nJyWHp0qVMnz4dkN8UJ0IflpKSwogRI7h37x6lSpWic+fOREdH8/nzZ5KTkwss6+vXr/Pw4UN+++03NDU1adSoEf3795fLdADnzp3j/v37WFhYAD8ebB0/fhwzMzPmz5/PsmXLAHBzc8PV1RUDAwMcHR1lQuoPHz4cQ0NDzM3N/1Ed/0uEw4XRo0dz9uxZ0QCQn+zsbL5+/Urfvn2pWLEiUVFRtGnThsOHD8udAeD9+/fo6Oigqakp0+ZWrVrFmjVrZG47a2pqYmBgwIYNG8RDtPwGnxkzZjB58mS5rNO/QnZ2NiNGjCAiIgKAGjVqcOzYsR8uDoCswcfY2JivX78yefJk0cxaVMjNzWXEiBFcuHABVVVVFBUVCQsLk2m/0u3/wYMHPH36lGvXrgHQo0cPatasKRoAiuLhqVDP16xZw6pVq+jQoQP79++nVKlSP6SlS0lJoWnTplhZWZGRkYGRkZFMPy9vSD+3qakpFy9elHm9cuXKjBo1SuzH4d9j8MnKymLGjBlERETQr18/PD09xeh/f2bw+f79OwcPHuTAgQO0b9+eadOmFZmIPUpKSnz//p3hw4dz48YNOnbsiKenJ7Vr1xYvRkHeIfqGDRvw8fEBoF27digrK/P+/XuePn1K/fr12b59u1wbjwUK2t/Jf9B/8OBBpk+f/sPasiCDj7ybUqWNa4MGDeLZs2c0adIEMzMzYmNjefbsGeHh4SgoKLB582ZGjhwp87mEhATs7e05ffo0ffr0YdeuXXK/7y9dtk5OTvj4+NCyZUsWLlyIgYHBD8//8eNH9uzZg4eHB+rq6syfP5+ZM2eWGHyKAMJ+T3JyMnPmzMHW1pamTZuK7fLGjRtYW1tz69YtTE1NMTc3Fy8SCAj7KZMnT8bZ2bnE3FNCCXJCSc9bwv+ctLQ0XF1dWbBgAdOmTeP8+fN8/fpVfN3IyIhZs2ahoKBAeHg4rq6uREREEBoairm5OY6OjgDs3r27yBh7hBD5ly9fpn379mKI6IcPHwKyoQiF8Kvt27dHVVWVrKwsudxk/U8UR83w79YtHdpcmqdPn3Lp0iVat26NtbW1jNnj5MmTWFlZ0bp1a0aMGIGfn5/4WsOGDdm8eTPt2rXD0tJSLif7xVEzFF/d0ghh4FNSUoiKiirsx/lHkM6F7ufnx7hx4+jUqRPz5s0TwwxLp+s5cODADym6VFRUfggjLu+pEPLfSDI1NcXU1JSbN2+SkpIivm/UqFFs2rQJBQUFXFxcCkxhFBQUhImJCV+/fmXQoEHcv39fTCcgT5RoLh6aofjqhrx5lpKSEuvWraNKlSpUq1aNkydPoq+vz65du+jduzf+/v40btwYQ0NDjhw5IobRz59KoaggHIT7+PhQq1YtKlSowPbt2ylTpgybNm2iV69e7N+/n1atWjFixAjOnTsn3jgtapqFuYSHhwceHh60bduWs2fPEh4ezvXr13FxcaF9+/Ziqqr79++Ln+3bty/W1tYcPnyYo0eP4uHhIRp7Nm7ciK+vL+XKlcPLy0uujD3w93RLp9i6du0aHh4eNG3alE2bNonGHqHuyCNKSkpkZGQwZswYIiMjmTFjBrdu3cLf35+rV6/i5eVFx44dCyzrNm3aMG7cOHx9ffHw8GDq1KlyZ4KQSCQkJiYycuRIli5dyvr164E/UjsICAekt2/fBsDLy+unxp4DBw5w/vx50tLS/kEl/x3C/DE3N1fsjxQVFVFQUBDT8nh5eREZGSl+RiKRiHP2smXLkpWVRYcOHZg7dy4bNmyQO2PPlStXaNeuHXv27CE1NVVsc56ennh5edGsWTO8vb3x8vJi7NixaGhocOTIEcaMGcOHDx8A2RRdVatWxcfHBx8fH75//16Y0v4WQtnt379fTJOXlJT007WX0CZatGhBSEgIVapUYeLEif/kI//XCIffe/fuxdjYmMzMTJSUlIiOjpZp74qKimK/3ahRI4yMjMR0RX379hWNPdKH6fLIz+YWQkSA8ePHU7NmTaKiopg0aRLfv3//IS3d1q1byc3NpXPnzlhZWcm1sUfYD0xNTWXw4MFEREQwcuRILl68yL59+/Dy8iI1NZV169Zhb28P5P1G5cqV4+TJkzRo0ICoqCh69uxJZmZmkTD2SK/9k5KSuHTpEiYmJnh7e6OtrU12djYSiYRGjRrh4eEhpuhydHQUU/Fpa2szcuRItm7dyqJFi4qEsUco67S0NIyNjblx4wZz5sxh7969NGzY8Ieyq1ChAsuXL8fHx4e2bdvy9OlTMbKRtbU1ISEhRcLYI6SFhTwz1+vXr/ny5Qtfv36V6YtGjBhR4Noyf4ou6ZTC8tqfCSnXZs6cya1bt5gxYwYHDhxg9OjRuLu7c/DgQebOnYtEImHGjBkcPHhQ/JyQomv16tUMHTr0h8jn8opQxgEBAfj4+GBoaMi6desYPHhwgc9frlw5xo4di42NDenp6WzcuJGNGzfKpPUqQT4RjDgrV67k+PHjzJgxg4cPH4rtsnXr1pibm1OxYkV27tzJ6tWr2b59O0lJSXz9+hVvb298fHyoUqUK8+bNKzH2lFCCHFESuaeE/ykpKSkMGTJE3ESGvAnDlClTMDMzE52fCQkJHD58WMyzK6Cmpkbnzp3x8PCgbt26//jz/zcI0QwyMjIYPHgwMTEx1K5dW4w+JOgUJlCHDh3C3NycGTNm4OrqWpiP/rcpjprh36l76dKlKCgoYGlp+cON9lOnTjF+/HimTp0qhohPTU1l0aJFhISEiHnDBfOSt7c3pqam4oGjdKofeaI4aobiq7sgsrKyaNmypRhOu06dOoX9SP8IQjoXNTU1srKyxFtYP4vmIUTwqV69OseOHRP7OXk9JJTmZzeSLCwsMDY2/iElBvxahJOpU6cSEhICQGRk5E8jtxUGJZqLh2Yovrqlyc3NJSUlBWdnZzZt2kRAQADGxsYEBQWxfft27t69S9OmTSlTpgyXLl1CX1+fI0eOFJn0kQWl7snOziY3N5e1a9fi6urK2rVrGT9+PD4+PuzevZtnz57RtWtXKlasyOHDh6levTqhoaFUqlSpkFT8fW7fvs2wYcPQ0tJiz549NGnSRCYVxq1bt1i+fDnXrl2ja9euuLm5oa+v/8Pt4uzsbJKSkrCwsODy5cvo6emxf/9+uT1A/Lu6BS5evEjNmjWpXbs2IJ+3pAWEfuzo0aNMmjQJQ0NDtm7dirq6OhkZGeJc5ebNmzg5OREZGflDWQvIexTBXbt2iWnhVqxYIUbwEdr5t2/f6N+/P69evaJDhw6Eh4czYMAAFi1aJIbIB7h69SqWlpYoKSkREBBAkyZNCkPO3+L79+9MmTIFU1NTjIyMxMPRpKQkZs+eTWhoKD179sTOzo4OHTrI1F1fX19Wr17NuXPnZFJHyhPu7u64uLigq6vL8uXLGTFiBN+/f8fY2JjKlSuzevVqsd/JyMjg3r17jB8/nnfv3tGrVy9x7IW8tJN79+5lxYoV2NnZFdkITULflZmZybRp0zh27BhVq1Zl27ZtP02JKLQJoQ8oavxMc2BgIB07dizsx/ufkT811Zs3b6hUqRItWrSQuagZFxfHmDFjePfuHZ06dWL69Ok0a9aMypUrs2XLFjZu3Ej58uU5fPgwZcuWLTxBv0hubi52dnYEBAQwf/587OzsxDl0ZmYmXbp04fv374wcORJ7e3s0NDTEOv3p0yc6depEYmIit27dKjCClTySnJyMl5cXbdu2ZfHixYSFhVGpUiWZeaow/hYUwadRo0ZyOw/5M3Jzc3FwcGDTpk3MmTMHe3t7tLS0xNclEgn37t0DkBmXkpKSyMjIICUlhRo1aqCkpCS3cxNppMtz586dnDhxgsuXL6Ojo4Oqqirz5s2jS5cuMvPnn60tC1rDyDPPnj1jwIABVKpUiQsXLqCoqEh2djaKiopi3V26dCm+vr5iKqNRo0YBf8yzi1okrjdv3jBmzBjevn3LwYMHadGiBfDnkT4TExPZt28fq1evJjc3l7CwMPFzRYmiEH38vyV/fUxMTGT+/PmEhobSqFEjgoKCZPZ5du3axaZNm7h37x4SiYRatWqRlpbG+/fvqVatmlyvnUsoobhS9GZWJcgtWVlZzJkzhwcPHjB+/HjOnDmDra0t9erVY9u2baxdu5br168DUKtWLSwtLYmIiMDZ2ZmFCxfi6OjIyZMn2bp1q1wbe352e1kwe6ipqXH8+HE6dOjAs2fPGDFiBLdv3yY9PV2cMMTExIg39rp16/aPPfvfpThqhuKj+8aNG/j6+uLj40NgYCBJSUkyr9esWRMtLS0uXbrEli1b2LZtG3369GHnzp00atSI0NBQTpw4gaWlJbm5ueLiVljI5U/hIw8UR81QfHX/DBUVFZo2bUpqairh4eHAz9v9v4Xjx48TEBBA7969OXLkCKdOnWLlypVAXm74VatWAT9G8Onfvz8vX76kS5cuJCcnF9rz/1WkU4L6+PhgZGSEj48PJiYmP91syh/hxNnZGcj7TYRbaFu2bMHAwEDm/yEvlGguHpqheOpOSUnB19eX6OhoIO/GpI6ODqNHj0ZXVxc3NzdevHjBtGnTOH78ONOmTePdu3dcvnwZgPj4ePbs2SNjCJBnhHI8e/asGHVIWVkZVVVVBg8eTLVq1XB2dub333/H0tKSI0eOMHbsWGJjYwkJCSEnJ4eEhATWrl1LZmZmYUr5W7x//57Pnz8zdOhQmjRpQk5OjrhJqaamRtu2bbGysqJmzZpERkayaNEi4uPjxYgBAjk5OZw4cYIHDx7Qo0cPjh49Ktebk39Xt0DPnj1FY4+83pIWEMopISEByEs1pa6uTlZWlnior6KiQuvWrZk1axblypUjJiaGRYsWiVGLpL9H3vos+CM9zfjx4/H39wf+OCACRIN8qVKlmDJlCkpKSoSHh9OsWTMsLS1p2bKlOD+9evUqLi4uPH/+nPnz5xcpYw/Apk2bOHv2LMuWLSM8PJysrCwASpcujZmZGW3btuXixYtYWFiwf/9+Xr16RXp6OuvWrWPz5s00aNCAChUqFLKKn2Nra4uDgwMpKSk4ODhw7NgxHj58yIMHD5g1axaNGzcWy1Ko14cPH6ZixYpcuHABNzc3IK/OqKqqMnr0aE6cOFEkjD0/W0MJ5g9VVVUCAgIYOnQor1+/ZurUqdy8ebPAzwhjn7xfGhHatvScQiKRiMae/JqnT5/+U81FDWFcSklJYcyYMUycOBE7OzsmTZrErFmzCAoKEt/bokULdu/eTdWqVbl27RrTpk2jd+/etGvXjqVLl5KTk0NAQECRMPYAfP78mYsXL6Kvr4+VlZVo7MnNzWXgwIE8fvyY8ePHY2VlhYaGBunp6WKdLlu2LJGRkdy4caPIGHskEgnTp09n3bp1rFq1im/fvvHt2zcAmfWGcFCeP4KPhYUFjx49KqzH/69IT0/nypUr1KpVC2tra9HYI5FI2L59O+PGjaNbt25069aNhQsX8uDBAwBKlSpFxYoVqVOnTpExe0hHeXZycsLCwoLz589TqVIltLW1efnyJXZ2dixbtkwmFd3P1pZFydgDeVHMP3z4QN26dVFUVCQ9PR1lZWUxhSDkGbONjIyQSCTMnDlTjH4tzLOLSlkLJCQkcOfOHUxMTGjRooU4jv/ZXLp8+fKMGjUKS0tLnJ2di4yxJ3+UOWFdLI/rhr9Dfn1ZWVniGH3s2DG+f/9O+fLl8fX1xcDAgAcPHjBp0iQxCwXkrVM8PDxwdHSkSpUqpKenU6VKFWbOnMmJEyfkeu1cQgnFlZLIPSX8z3j37h39+vVj4MCBODk5ielcTp8+zcaNG7ly5QpDhgxh3rx5tG7dupCf9u8h7Ty/dOkSr169QkNDg+rVq9O2bVsAcRGfkZGBsbExUVFRVK1ale7du9O8eXMSExMJDQ3l4cOHrFq1ilmzZhWmpP9IcdQMxU/39u3bWbVqFYmJidjb2zN9+nQxqkt6ejre3t7iZiPkpWEaPXo0kydPFt935swZxowZw6hRo9i8eXMhqPhrFEfNUHx150e4oXHy5EksLCzQ1dUlLCyMcuXKyfUN9/+W5cuXc/ToUbZv3y5zu+zEiRNMmDABACsrKzFFpnQ0D0NDQ7p06SK+VlR49eoVo0aNIjExkZCQEDGtxX+6pXPgwAExncm5c+do06YNIHsD5s2bN3IZVrxEc/HQDMVLd05ODpMmTeLEiRNUrVqVuXPnMnHiRNTU1FBUVCQgIABbW1scHR2xsrISP3f69GnCw8MJDAwE4ObNm0Um9S/kRatYunQpjRs3ZubMmZiZmYnlu2fPHmbPns3cuXNFoybkRY0MCwsTN539/PwYM2ZMYUn4ywj6tm7dipWVFSYmJgQEBBQ4NmdkZDB+/HjCw8NRU1OjZcuWeHp6/hDZ4+vXr2KdLl269D8l5S/x/6Fb3hE0C2aX/HVZmvT0dPr27cu9e/dQUlJCX1+fwMBAGjRo8A8/9V9Huk+W7n+lI/hA3kGLh4cHR48eRVdXFzMzM0xNTfn69SuRkZGsXbuWly9f4uzsLK4ti9Kt4+/fv7Ns2TK2bNlC9erV8fDwoGfPnqipqZGbm8vp06cJDg4mLCwMyDsIV1JS4sOHD1SoUIGjR4/KXVoT4feXHj/d3Nzw9PREQ0ODMWPGcPHiRY4cOUKVKlVk9hmENcfu3buxtLSkV69e7Ny5U0yJKd325Xl9ImjPysoiPj6eO3fuUKVKFcqUKSNGnRL2TjIzM5kxYwZHjhyhevXqBAUFFcn9QelyfP/+PYmJiSgpKaGlpUWNGjWAf5/m/KSlpTFkyBBiY2Pp2rUrzZs35/r169y8eRN1dXUWLlzI/Pnzxfe/efMGPz8/4uLiuHfvHjVq1KBx48bY2NiIhtSiwKVLlzA2Nmb69Onivklubi4DBgwgJiYGKysr5s+fj46ODrm5uVy+fBkVFRU6d+5c5CJ7CFy/fp3p06fz9OlTSpUqxY4dO+jevXuBeqQj+EyfPp0HDx5w/fp1qlevXkhP//d59eoVnTp1olmzZpw6dYqsrCxSUlKwsLDgxIkTlCpVigYNGhAfH09qaioLFizAycmpsB/7v0JYdxgZGWFjY0Pz5s1JT09ny5YtHDhwgDt37tC1a1cWL15Mp06dxM/9bG1ZVIiMjMTQ0JCWLVty4cIFQHZ+JfT5rq6uuLm5oaamRkZGBtu2bWPo0KGF+OR/HUHXli1bsLa2FvuyguYZwns/fvxIdna2GAk2LS1NPPeT5/kJ/DFHSUtLY8OGDTx8+JCMjAy6du2Kqakpmpqahf2I/xNiY2OJiIjAwsICVVVVkpOT6dy5MykpKRw9elTcJ/r06ROzZ88mLCyswAg+AN++fUMikVCqVCkZ418JJZQgXxS9GWUJcsuTJ094//49dnZ2aGhoiAvZAQMGoKGhgYKCAseOHQNg/vz5tGrVCpA9RJDnjSnpPLGrVq3Cy8tLfE1NTQ17e3vmz5+PqqqqeNPw6NGjDBkyhOjoaPbu3cvFixepW7cudevWxdraGhMTE0B+J0LFUTMUL93C85iZmQF5B/8uLi4AoulDXV2dGTNm0KpVKy5fvkzFihUZOXIkZcqUkblNJxwuGBoaFoqWX6U4aobiq1sg/8aTMNb06dNHDIO/ZMkSfH19i+SGW0EU1N+8ePECY2NjmjZtKuZTV1RUZNCgQezZs4exY8eKfZ6joyPq6uriwj00NPRPv1teSUhI4P79+8yZM4dmzZqJz/6f5hsjR44kPT2d79+/y2xOKSsri5s78mR8kKZEc/HQDMVLt5KSEmZmZtStW5d169Zhb2/PxYsXGTJkCMOHD2fixIkcP34cd3d3+vXrJ6YDHjBgAH369GHQoEFUqlSpSBl7AKpXr8748ePZtWsX8+fP59KlSwwdOhQDAwPGjh3LiRMn8PPz7DUBAwAA/d9JREFUw9jYWDSgDx8+nF69emFoaMj79++LlLEH/hijW7RogYaGBk+fPuXNmzdUq1ZNZvwR5uEDBw7kxYsXlCpViqioKJ48efKDyaV06dJya+oR+P/QLe8Imjt06MDGjRu5f/8+3759EzeTBc0ZGRmoq6vTq1cvypUrx7dv37h9+7ZoQJZ3pEP/jxw5Esibfy9duhRANPjUqlWLBQsWoKmpSUhICC4uLvj6+pKamkpubi5Vq1Zl3bp14ny+KM3HcnJy0NbWZvny5eTk5BAUFISNjY2MwcfQ0JDWrVuzf/9+jh49ysuXL6latSq9e/dm0aJFctd/X7x4kYMHD+Lq6oq2trY4fi5atAgAb29vAgMDkUgkREVFMWzYMJkDEqHs9PX1UVFRITIykpcvX1K7du0fylVey1lYY6WmpjJ//nwuXrzIx48fUVJSQlNTExsbG/GgKTs7G1VVVfFyyJEjR5g0aRLbt2+XST0n70gbe7Zs2cKuXbuIi4tDWVmZqlWrMmvWLKZNm/anmoODg8U90aKEdJ+ze/duHj58iK2tLQsWLEBDQ4Pnz59z5MgRXF1dcXV1RSKRsGDBAgCqVKnCsmXLAHj58iUVK1ZEQUFBrvvxgvpYYa9AiDyWmZnJwIEDiY2NlTH2QF77sLS0xMjIiE6dOhXZfYY2bdqwdetWpkyZwtOnT1m6dCmhoaEyKccEpCP4BAYGoq6uXiSNPQDa2tro6+tz7do1FixYQE5ODhEREbx8+ZI+ffrg6upKnTp1OHXqFBMmTODQoUPMnDmTChUqyO3Zxp9x584dAgICqFatGvb29jRt2pTc3Fw0NTWxsLCgfv36rFu3jmvXrhESEkLLli1RV1cX5zYFrS2LCo0aNaJatWrcunWL7du3M378eJSUlGTSNwF06tSJBg0a0KJFCw4dOlSko5kI7fLLly9A3jxD+lxO+t+dnZ1RVlZm5cqVqKmpicYe4XPySm5urhjBxtjYWMwoAnlRzaOiopg9ezatW7cusmm6JBIJX79+xcTEhOTkZNTV1ZkwYQIDBgzg06dPzJ07V+YiRNmyZdm4caNo8Jk4cSLBwcE0bNiQnJwcMTKy8DvIc/mWUEJxp2jOKkuQG7Kysnj//j3JycmULl0afX19srKyyMrKQlVVVRwUe/ToIX5GMPgsWLCAli1bFnjYKo8Iz+bj44OXlxf16tWjd+/efP36lX379rFs2TI+f/7MkiVLUFFRETddjx07xsCBA7l+/TqKiops3rxZ5rBEnjfkiqNmKF66FRUV/9T0MW3aNPT09NDT06N///4YGBjI3FwQCA4O5sCBA7Ro0YLOnTv/80L+AsVRMxRf3fDHgu779+/s37+f3r17i4cD6urqrFq1iujoaMLCwggPD6d///5FclEnjfQm271790hMTKR06dK8fPmSMmXKAH+ESha0DhgwQMbgo6ioyOLFi3/YtJP3FB8Cgq7ff/8d+GMjtqBnF9774cMH0tPTxRu3QjQjkO3D5fXmSonm4qEZip9uoQ/q168f/fr1o1OnTqxfv56IiAjCw8M5efIkbm5uDBs2jMjISDw9PVm7dq2Y4kFZWVlmPVIUEMpk6NChDB06lH79+uHl5cWRI0cIDw/HwMAAFxcXRo0axaVLl1ixYgUBAQFUrFgRgDJlysjcJJXHeWh+8o+9QkqDW7duERwcjIODg7jxnJubK6YDffz4MVlZWaxcuZLPnz8zcODAwpLwtyhOuvMfkgi669atS/ny5QkPD8fPz49FixaJ9TU7O1tM0RUZGUm5cuVwc3NDS0uLatWqFY6Qv8GvGnzq16/P4sWLGT16NNu2bSM5OZnv378zePBgWrVqJZog5LlNS9dp4TmVlJTIzc1FS0tLTANbkMGnUqVKzJs3D3NzczIzM9HV1RUvjskLEomE5ORkZs+ezdu3b2nZsiXm5uYoKSnJGHxycnIIDg7mw4cPhIWF0alTJ/HWO/zx27Rs2ZIaNWqQnJwsmgKKAtKpmQYOHEhcXBzt2rXD3Nyc3Nxc3N3dWbp0KR8+fGDp0qWoqKgUaHYZMmQIx48fLxLpPaRvsC9btox169ahra2NkZERGhoaHDhwAFtbW169esWSJUtQVlYuUPO4ceMIDg6mffv2hSnnLyHU7czMTL5//879+/epX78+1tbWqKioIJFIqFmzJlOmTEFbWxtHR0cxso1g8BHSltWsWVPu19qC3vT0dBISEsSoYcKlqIiICBISEpg1a1aBxh7IqyPPnj2jWbNmcq8XfpyPCP+dm5tLixYt2LZtG1OnTiUuLo6pU6eyZcuWPzX4FIXIevBz3bq6ulhbW2NlZcWePXvIzMykY8eOWFlZYWxsLEa2NjAwoHTp0jRq1EichxdF3r59y9u3b5k7d65oFpfeRxwwYAApKSnExcWxc+dOxo0bJ2NS/NnaUl742R5fVlYWpUqVYvTo0Xh7e7Nnzx5q1KhB9+7dxRRdgglx7969KCsr4+/vj7u7u1gH5BXpchDMuMJvIMxHDhw4QJ8+fRg9ejQKCgoylwABzp8/z86dOxk4cCCZmZninLwooKioSGZmJhMnTuTOnTuMHz+eESNG8PLlS9atW0dISAifP3/GxsaGTp06FUmDj9BXrVq1isWLF+Po6Mi6detISkrCzs6O2bNnixEyhTLNb/CZNGmSGMEnf9stSr9FCSUUN+RrlC2hSJGSksL06dMZNGgQXbt2xcTEhDt37vD48WNxw1F6465Hjx4sXLiQbt26ERoaysqVK4mLiytMCX+Zb9++ceLECfr27cvOnTtxc3Nj06ZNBAUFoa6ujo+PD8uWLSM7O1vG9HHy5EnatWvH69evGT58OO/fvwfybnjI22Q3P8VRMxQv3cJiDcDMzAwnJyfKlCmDi4sLAQEBJCUlFfg5YfHu6enJ6tWrUVVVZf369VSoUOGfevS/TXHUDMVbd0ZGBj179hQ33by9vcXXK1euzMyZM0lKSuLQoUOA7PhV1JDedHZzc2PgwIEMGzYMY2Nj4uPjefv2Le/evRPfL61VMPgAeHh44ODgAPDDZl1RQHjO8uXLA3nhZ+HHfNTSi3dvb2+2bt1KamrqD98nr324NCWai4dmKH668xuO+vfvj6+vL2vXrqVmzZqcOnUKY2NjkpKSqFatGjdu3CA2NhZA3KCUd4TxWSB/mRgbGxMYGMiqVasoVaoU+/fvx9DQkE+fPokpAS5evAj8WA8K+j55IL/m/OVUrVo1rK2tgbw5iKenp/g+oU5ER0dz9uxZOnfuTMeOHUWDS/7vlieKo+78dTI3N1dGd6NGjVi+fDkArq6uuLu7k5GRAfxhXty2bRuPHj2ie/fuNGzYsMgYewRTVv5/HzlyJP7+/gBiWjKB0qVL07ZtWzZs2MD27dsJCQlh8uTJorFHno3W2dnZKPwfe2cdVlXW9uGblLQ7UUfH7hjsROxuRywsBBUQsEVpMLBbFLvF7gI7GTFQ7G6l83x/8O095wjOqxNyjmfd1/Vegyf2u35n79W/9Tw6OnJUC11dXfn+S3MRyeAzcOBAnjx5gpubGydPniQpKUm+jpGRkbxpJq0vqQs6Ojpkz56dBQsW0L9/f7p27QqkbxDq6emRkpICwIQJExgwYACmpqaEhISwY8cO+YS8dB1Ij4oqGSX09fU1Yg4iRTtOSEhg0KBB3L59m7FjxxISEoKrqytjx46lUaNGAMyfP5/p06fLG4vKZpfmzZtrlKlJqneBgYEEBgZiZWXFjh07CA4OZunSpfLm9ty5c3F3d89Uc7t27Xj58qVs0FZ3pOdRT0+P+Ph4WrVqhZubG5cvX6Zp06YYGBiQlJQkP8/m5ub06tVLNvH5+vrKc28p5ZwmjMuk59va2pq1a9fKr1eoUIEmTZpw//59GjduzLlz55g4cSJ2dnYqz/HKlSvZsmULzZo1o3nz5lkh4buQxstpaWkkJyfz8eNH+d5L7XiVKlVYsWIFpUqVYv/+/dja2hIfHy8bG5XRhHsMf60boGXLlqxdu5YNGzawdOlStm/fzu+//65i6pg1axafPn3it99+Q6FQaEQbnhmRkZGkpKTIc0WpL5MM5pAeHdTa2pqEhARCQ0O/ei11G6NIY5PU1FQ+fvzI8+fP+fz5M5A+xtDV1aVDhw7Url2bc+fO4e/vz9atWwFkY09QUBCnTp2iQoUKJCUlqX1EUCkKC6SnE1y9ejXh4eHy+1WqVJHX+7y8vNi1axeQ3vZJ37t48SK+vr5ymlFN6aulZxfgzp07REREMHz4cGbNmkWTJk34/fffWbJkCa1ateLEiRP4+flx7ty5DIcQNAGprP3798fLyws9PT3evn2LpaUlI0aMwMjISOVZkJAMPlZWVty+fZvBgwcTERGhdnVXIBB8HVFbBX+LuLg42rdvz86dO9HX16do0aIkJSWRlpbGjBkzuHfvnvzZLw0+Tk5OVKhQgStXrsgbEurKl535s2fPuHjxIoMHD5bdrAqFgo4dO7Jq1SrMzc1ZsGBBpqaP3bt3U7duXW7fvk2HDh149+4dhoaGmS6+ZyXaqBm0V7eErq6uPPj90vSxdOlS2fQhTdBjY2M5duwYVlZWeHp6kjdvXkJCQihTpkxWSfhutFEzaK/u69evk5SUhL6+PmfOnGH69Om0bNmS0NBQYmNj6dy5M7/++itbtmxhzZo1gOYsSH2JNBnz9/fHx8eH7Nmz07FjRypXrkxsbCx79+5lz549Kt/50uCzbt06AI2ZvP8VhQoVQl9fn7Vr1xIaGiqHV5Y22KT7fOzYMRYvXszLly81ajKfGUKzdmiGn1t3UlISYWFhLFmyBE9PT/bs2cONGzfk9y0sLOjVqxdHjhxh8ODBJCQk4O3tzYsXL3j27Jm8kaSOkYi+RHnB7eHDh4SFhbFx40YuXbrE48eP5c+VLVuW4cOHc/jwYbp168arV6+YNm0aL1++5N27d6xatUrF4KnOKGvetWsXM2fOxNbWln379vHgwQP5c506dZJP/nt6emJnZ8fatWt59OgRO3bsYOLEidy/f59mzZqp9NvqujCpjbpTUlLkTWEPDw8GDx5M27ZtCQoK4tatW/LnevTogY+PDwDe3t7Y2toSEBBAWFgYbm5uuLu7Y25uTps2bbJKyjejbLLS0dFR2SDT1dWVjS9fM/hIn5Haa2kuqnxNdUWKllm2bFkcHR0BVDZ+lQ0+M2bMwNramocPHzJhwgROnDihYgqSUEe9CoWCpk2bMmvWLHLlyoWTkxODBg0iLi5ONnMAjB8/Hnt7e1JSUvD09GT58uX88ccfQLqu8+fPy/1V7969yZkzp1rq/RJp7rB8+XJOnz5Nr169cHJywsjIiDt37uDg4MCpU6do0aKFfDBkxowZGcwuGzZsICIiglKlSmW1pG/m+PHjLFmyhDp16jBx4kRq1apFQkICc+fOZcuWLRQuXBgjI6Oval6xYgWbN2+mX79+WS3lq6xZs4YjR45kMOJcuHCB169fs2fPHq5fv05MTAxAhshapqamKgafWbNmyRGD1bGf+hpnz57l+vXrHDx4UDbSQ7pxr0KFCnz+/JmyZcvSoUMHcuXKJb8fGBiIl5cX2bJlw9/fn7x582ZF8b8ZqZ+Oi4uT04jVqVOH4cOHc+DAAeDPdrxKlSqsXLmSkiVLsnfvXhWDj/KGuibwLboh3QTRrFkzunfvjrGxsUofv3r1alauXEnlypXlyCea0IZnRqFChYD0tTMpMpukVdm0K6U+Vq4T6oykJS4ujhEjRmBtbU2dOnXo2bMnGzdulD9XpUoVJk+eTJ06dTh79iz29va0bt0aNzc3evfuzdixY0lOTsbV1RVDQ0O1vs/K0bTmzJmDjY0N48ePJzw8nLi4OHlM2b17d3r27Mnjx48ZNmwYgYGBXLt2jYcPH7J+/XpGjx7NhQsXmDRpEq1atcpKSd+MFCEuNjaWM2fOcPfuXWJiYhg9ejSGhobyc1yzZk0mTJiAtbU1J0+exNfXVyMNPsoR93fv3i3f+1OnTrFo0aIMkdWUkQw+bdq0ISIigrFjx5KUlKQx2gUCbUfn48ePorYKvhs/Pz8WL17MoEGDcHZ2Jjk5mW3bthEUFMT169fp2bMnrq6ulCxZUv6O8snhsLAwihcvrtZ5d5U7P+nUYFRUFE5OTqxfv55cuXLJi7OSrv379zNs2DCio6Oxs7Nj2rRp6Ovrk5ycjIGBAYmJiXTs2JHz58+TL18+zp07J6dHUQe0UTNop+6vhUhVrqdr1qzB3d2d9+/fM378eIYOHSqfTnn8+LF8asXa2pqxY8eqdX0G7dQM2qv7S9LS0nB1dSUoKIiePXuiUCg4cuQI8fHxtG3bFjc3N548eUL79u2pUqUK8+bNkxctNAXle/38+XM6d+5MyZIlmT59uhwS28PDg5kzZwLpp2j79u2rcg3lNBkPHz6U05epM98S8nncuHEsX76cwoULs3LlSurWravyvrRgcefOHZYvX07Lli3/yyL/Y4TmzPnZNIP26o6NjcXW1pZjx47JYzNIX4CaPHkyNjY2ACrjrsuXL7N+/XrZnAhw69YtlRQo6ojyOHT+/PmsXr1aPiihr69P6dKlcXBwoE+fPsCfIdUTEhI4fvw4mzdvZufOnfL1tm/fTtOmTX+4ju9BeQyi3C8BmJiYYGlpiYODgxz1AdLHKmPGjJH7KclYD+nml5EjR/5ABX8PbdQttWGxsbF07NiRy5cvy5vcBgYG1K5dGxcXF5W0eRs2bMDNzU0+US1RokQJNm7cKKdGUVeU6/S+ffs4e/Ys58+fp2zZsjRs2JDWrVuTPXt2lVRTW7ZsYejQoQBMnz5dTtH1Vwvy6syFCxfkTSAHBwc5KpOyHunvV69e0bBhQ968eYOFhQXTp0+ndevWKunb1Z3Hjx9To0YNUlNT6devH76+vpiYmMjtNaRHL5k9ezZpaWnkzp2bevXqERsby7Vr14iJiWHSpEmMGDEC+HrqkKzi1q1blCxZUo5eIPHhwwc6d+7Mp0+fOHPmDMbGxjx8+BA/Pz82bNiAjY0Nc+bMYfv27QwePBiAkSNH4u7uLrcD6nqf3717h6mpaQbNiYmJuLm5ERQUxO7du2nQoAHJycksXboULy8v8ufPz9WrVzl69CjdunUDyHS9SEIdU9dI7VGdOnVYtWqVSqp5hULB7t27Wbx4MWfPnqVIkSIEBQVRq1atTK8VGxvL5s2bcXR0pECBApw5c0at1sW+hW7dunH06FGmTJnC6NGj5ajA+/fvx9fXl9u3b1OhQgW6d+9OXFwc58+f59SpUxQpUoStW7eqfZ+l3E+3b9+eq1evkjt3bmJjY+Ux+Ny5c+WoVFLbff36dQYOHMiDBw/o2LEjCxcuxMTEJCulfBffqzuzujpt2jTWrl2Lrq4uu3fv5tdff/3hOv5Nnj9/TosWLXjx4gXjxo1j/PjxcrQb5fVwb29vZs+ezapVq9Q+JazUn8bGxtKuXTuuXbtG4cKFUSgUvHjxAkClbgNcu3aNzZs3s2vXLp4/fw6kj9PLlCnD0qVL1T7dnPKzOnXqVObOnUuNGjVwdHTM9H7dvHmToKAgli1bBiCnUVUoFJibmzN58mRsbW0zXFudSU5Opk6dOjx8+JBOnTrx4cMHlfmyMuHh4Xh7e3PgwAEaN26Mm5sbdevWVatx2Lfw+fNndu3aJR/2Ujajubm5qXz2y/v45s0bXF1dcXR0lFPyCQQC9UeYewTfhbQANWLECB4/fsyWLVvkwXtiYqLsdL1y5Qo9evTAzc3tqwYfdUa5k1u5ciUnTpzg9evXZM+enSNHjhAcHKwyIFLWdeDAAYYOHUp0dDTDhg3Dw8NDZeFCSg1z+/ZtLl++rDYnlLRRM2inbql8ycnJREREcO/ePeLj46lWrRqFCxcmT5488mf/yvTx8OFD4uPjKVasGGZmZlmk5tvQRs0gdEtIi6gJCQk0aNCA3LlzM2fOHOLi4pg9ezb79u3D0NCQKVOmsGfPHq5evcqUKVMYOXKkxkxeldumqKgonjx5QufOndmzZw/169dX2UyZPXs206dPB75u8FHONa3Ov4GyrosXL/Lo0SNu3LjBL7/8Qq1ateTF1A8fPmBvb8/evXsxMjLC39+fcuXKUbBgQU6fPs28efO4desW/v7+DBkyJCsl/U+EZu3QDNqrOy4uDmtrayIiImjRogUdO3YkIiKCO3fucPToUSB9oXLMmDFAxjY/KCiIQ4cOMW3aNLVffFVuu6XF16JFi9KmTRvevn1LVFSUnMZ42rRpjB49GiDD5uDixYtZvXo1AwcOlA0CmsCcOXNwd3enYsWKDB06lAcPHnDx4kXCwsIoV64cHh4eKqkszpw5Q2hoKGFhYaSkpFCuXDlatGhB69atAc1ZcNY23UlJSfTr14+TJ0/SvXt3bG1tOXfuHMeOHePQoUOULVsWLy8vFc3Xrl0jIiKCsLAwzMzMKFOmDG3atKFIkSJZqOR/o3wvPD09mT17ttyWSxEw2rZty6xZs8ibN+9XDT5Tpkxh7NixWabj3+D48eN06dIF+LrBJzk5mYSEBFq0aIGRkRHh4eFUrFiRgwcPYmpqmmVl/zucPXsWW1tbnj17Rp8+ffD3989g8PHx8WHZsmW8f/+e4sWLU7lyZWrUqEHVqlXl51/d6rO7uzvr1q0jICCAVq1akS1bNvm9xMREFi5cSMmSJenUqRMfP35k0aJF+Pn50adPHxYsWADAx48f6dmzJxcuXADAxsaGmTNnqq1xLTQ0FBcXF8aNG0ebNm1UNKempjJ79mzevn2Lj48PaWlp7Ny5E1dXV0xMTDh48KBsKh40aBA7duwAYMiQIXh7e6utmUmZa9eu4e3tTcOGDRk1apTcdimv5e7cuZPFixdz/vx5+vbty+jRo78a2TcmJoYdO3ZQt25dtR+XKSO1VUeOHGHQoEHUqVNHTtMDEB8fz7Vr1/D19eXkyZPy6wUKFKBRo0ZMmDBBIw7KQPpYesSIERw4cEC+n0+ePOHo0aP4+fkB6WsIAwYMAFQNPkOHDiUyMpIePXqwZMmSLFTx/fwd3SkpKQQFBREUFMTt27epXr06S5Ys0YjI1t/Sv6xcuZJp06ZhbGyMnZ0dDg4OKu9fuHCBwYMHo1AoWL9+vUYciEtNTWX06NGEhIRgY2PD2LFjiY+PZ//+/YwbNw4AV1dXXFxc5N8nPj6eT58+cf78eWJjY/n1118pUaKE2kfhUkZa95OiD0n3KrO9ueTkZPbu3UtISAivXr1CoVDQrFkzLC0tqV+/PqB+45P/hXQASkdHh8KFC7Nt27avGvAkg8/hw4epUqUKvr6+1K5d+weX+J8THx+PkZEROjo6bN68mVGjRmUw+CiPw+/fv0+BAgUwNTXVuPsrEAiEuUfwHcTFxdGsWTPKlClDVFQUw4cPp3///ioTvZSUFE6cOIGXlxdXr17N1OCjSUyfPp3Zs2cD6WFmk5KS0NXVxcbGBjc3N/Lnzy9/VnlwdPDgQWxsbEhMTGTv3r3Uq1cP+HPzISkpiRcvXlCiRIkfL+p/oI2aQXt0S4O42NhYhg8fzsmTJ4mOjgbS0+9Ur14dDw8PKleuLH/nS9OHra2tSshhdUcbNYP26pbqZ1xcHKdPn84QOnbTpk0MHz6coUOHyukuVq5cyfr167ly5Yp8Ml5fX5+LFy9qzIKcxOTJk1m+fDkjRozg7Nmz7N+/X07Ro1AovtngowkoTz4DAgJYvHgxHz58kENHZ8uWjWnTptGuXTuKFi3Kw4cP8fLyYsuWLUB6SPhs2bIRHx+PmZkZkydPljfV1HViKzRrh2bQXt0pKSmMGjWKTZs24eLigqOjo7yp9vnzZ4KCgpg6dSoAM2fOZNCgQfJ3lXXFxcVp1OnhVatW4ejoSOvWrZk4cSIVK1YE4MmTJ2zZsoUZM2YA6RvDw4YNA1QjrUF6SlnJ+KCu91i5XJ8/f8ba2pqCBQsyY8YMWfPNmzdZsGAB69evp0yZMnh7e6uYPqTrSOnHJP3qqhm0U/eXC8ctW7akd+/ejB8/HlNTUxQKBXfv3mXevHmsXbv2q5o1CeU5oqenJwEBAdStWxdnZ2eqVavGtWvXcHBw4MWLF1haWrJmzZoMBp+tW7fKp6OPHz9O1apVNeJwlDLKbZNy9BJlg490Ilx6RiwtLenXrx+vXr2iV69eVKhQIWsK/w18WeeU9Z49e5bBgwfz4sWLrxp8PD09CQoK4uPHj3h7e6uYbtWtPn/+/BlHR0e2b99OhQoVcHV1pWXLlirRbGJiYtDV1cXExIQ7d+7QqVMnKlSowKZNm1Qi1XTt2pVXr14REREBQGRkJPny5csqaV8lKSkJNzc3Vq1aRaVKlXBxccmg+dOnTyQnJ5M3b15iYmLo378/f/zxB7t27aJChQpynba3t2ffvn2kpKTw+fNn9u3bh6WlZRaq+3bev38vRzGZMGECHTt2pEmTJirP565du5g9ezY3b96kb9++jBw58qsGB0056JkZT58+pWfPnty8eZPAwED69++f4TOhoaFER0eTkJBA3bp1yZkzp9qPQ5Xbpfj4eGrWrImVlRUeHh6YmZnJ7dGyZctwcXEB/kzvA3/281euXMHR0ZH58+drRMSHf6ob0s1tHh4edO3alQEDBsjprNQZ5XFZZGQkjx494tmzZ+TJk4dKlSrJ+zZRUVEsWbKE4OBgdHR06NChA8OHDydPnjyEh4czf/58zp07l+E3UTe+PAhRtWpV6tWrR0BAgDwOlQwQ9vb2JCUlqRh8NDVyokR4eDjdunUjd+7crFy5UmVc9fHjRx48eEBERAT58uVTWTNNSkqSo4Qqp1tUt/HJX5FZ5CI9PT1mzJghR0jMjD/++ENOXRYWFqbWEev/6n4oP/tbt25l5MiRssFH2cAWHBzM3LlzcXJyklMKCgQCzUKYewTfTFhYGJ07d8bQ0JC0tDRcXFwYM2ZMhgFPcnIyJ0+elA0+vXv3xtHRkV9++SULS//9bN++HXt7e+rVq8eIESMoXLgwq1atYtmyZejp6TF16lRsbGwwNzeXv6M8YQ0JCeHNmzdy+GEJdQ49rI2aQXt0K4edbdOmDeHh4TRv3pyuXbvy6NEjrl27xsGDB8mWLRsHDhygWrVq8ncl08fnz58ZNWoUo0ePlqO6qDPaqBm0V7dEcnIyDRo0IDIykqFDh9K7d28qVKiAoaEhjx49wt7entOnTxMUFETHjh0BuHv3LqdOncLd3V02QV25ckWjzKkpKSnY2dmxefNmue05duyYioErswg+urq6zJ49O9OFSnVFuQ2eMWMGs2bNonz58tja2mJmZsYff/zB2rVr+fDhA46OjgwbNkw2aS5evJgrV65w+/ZtjIyMaNasGfXq1ZPToKjrwoXQrB2aQXt1Q3pqE2trawoXLszevXvJli1bhsXZefPmMWXKFExNTdm1axc1a9aU39PEzaOYmBj69OlDeHg4O3fupFq1ahnmVwsWLGDSpEkA7NixgyZNmsjvZbbRrI6/gXK5Lly4QEpKCj179mTt2rU0btxYRcezZ8/w8/NjzZo1lClTBh8fH5o1awaojq/VVasy2qT7y8h/cXFx7N+/n1evXjF79myuX7+ewejw7NkzfH19CQ4OzlSzZGRSV82ZsW7dOlxdXbG0tGTq1KlUqlSJ1NRUlixZgoeHBwqFQo4muWrVqgwGn7Vr1/L27Vs5Opk687U+RbkNO3bsGF27dgXA3t5eNpdL+Pr6MmvWLE6fPq32UT2U9V69ehWFQkH16tVVns1vNfgEBAQQEBCQYQ1B3Xj+/DmzZs1i9erV/PLLL0yYMCGD2UXC1dWVpUuX4u3tzfDhw1X673r16tG7d29q1apFnjx51PpeP336lMDAQIKCgv6nZiniVt++fZk7dy5paWnyfR4zZgxxcXG0a9eOV69eycY9TUGhUDBp0iQWLlxI48aNcXZ2pl69eip1PiQkhFmzZn2TwUddyWzd7su2bdu2bQwZMoROnTqxYMECjIyMfgoDQExMDD4+PlSuXBkvLy8OHz5M/vz5M6RhWrFiBc7OzoBqJBvlqOXKEa7UnX+qG5AjvmfWLqgbys9zYGAgy5cv5+nTp/L7ZcuWxcrKSj5McPv2bbZu3cry5cv59OkTpqamJCcny2OVadOmqW0aSWWio6MZO3Ys7du3x9fXl3Xr1lGyZElSU1PR0dGRf5MvDRBfpjDSRHbu3MnAgQPlgyHSfdq/fz/BwcEcOHBANic7ODgwderUDG2aOt/b/4Xy+MPd3Z05c+ZgYGDAsmXL5DXgzIiIiCBnzpxqHSlU+TD5yZMnuXnzJgqFgkqVKtGgQQOMjIxU2mTl59vJyYk+ffpw5MgR5s2bx9OnTzl79qzap48UCASZoz67zgK1p3bt2qxZswZXV1ceP35MSEgIQ4YMUXG2AxgYGNC4cWMA/P392bBhA0ZGRvj6+qoszKsbX07KIiMjKVy4MNOmTZNPVPr6+lKsWDH8/PzkU2f9+/cne/bsACoLjx06dJCvpfz7qJPZQxs1g/bq1tXVJTk5mdGjRxMeHo6TkxOOjo7yiaK4uDiqVKlCUlISe/bsoUqVKvLiVP/+/dHV1cXe3p6VK1cyatSoLFbzbWijZtBe3RIpKSn069ePefPmsXTpUo4fP07Lli1xdXWlRIkSuLi4cPr0abZt20ajRo3IlSsXZcqUoUyZMtSpU4dVq1YxcuRItTf2fDnZ1tfXZ86cOZibm7N161YSEhI4dOgQJUuWlNOp6enpyW3g2LFj0dXVlVO91K1bV2PyxEu6t2zZwuzZs2nYsCGenp6ykal79+7cu3eP/fv3ExkZSVJSkvzd4cOHk5aWRlxcHHp6ehgbG8vvqbPxQWjWDs2gvbohfUz24sULOnbsSLZs2VQ2vKU2b+jQoVy6dImQkBBu376tYu7RxAXIN2/ecObMGRo0aJDB2CNptrOzIzIykjVr1nDhwgWaNGkiv/flPVWX3yAhIUFlw0Mql5+fHzNnzqRfv37kzZuXihUrypspEkWKFMHFxQWFQkFwcDBubm74+vrStGlTlfG1umhVRht1f/jwgVy5csnl0tHRITk5mZ49e3Lp0iWsrKywsLDAxMQkwwZgkSJFcHV1BdAozV/j2bNnBAcHkytXLsaNG0elSpVISkpiyZIleHt7U7BgQRYuXIirqyuhoaHY2NgQFBREvnz55PauX79+8vXUud1WTv97//59bty4gUKh4JdffqFYsWJy+t9mzZqxdetWunXrxrx584iOjqZPnz788ssvBAcHs2LFCipVqkTu3LmzWNFfo9w2L168mLlz5/Lx40f27NlDtWrV0NXVRaFQYGlpyYoVKxg8eDDr168HyGDwmThxItbW1ir9lzqiUCgoXLgwjo6OpKWlERwcjJeXF0CmZhdprikZjqX1v8WLF/P48WMKFiyo9pFrFAoFRYsWZezYsaSmphIcHIy3tzeQuWZpDFa8eHEVU8CZM2fYs2cPffr0+ep6kTqi/Jzr6OjQrVs3nj17xq5du0hNTcXV1VXF4CNpmzVrFuvWrQPAzs5OYw53KhQK9PX1iYmJYd++fVSuXJny5cvL+qT7VbNmTcqXL8/evXsZOXKknK5Fk409CoUCR0dHtmzZQu3atYmLiyMuLk7F7CTpl0yIzs7O8hpC//795c9pkrHn39ANqER3V2cUCkWGKCYlS5Zk7NixpKSkEBoayp07d5g/fz5Pnz5l1apVlCtXjlGjRmFtbc3s2bP5+PEj7969o1mzZjRv3lxt00h+ydSpU9m2bRtXr17l5cuXvHnzhpIlS8r1Viq/FGFw5MiR+Pr6oqenJ6fr0lQ+f/6s8t8XL14QFBTEzJkzSUtLo0OHDuTJk4dVq1Yxd+5cqlWrRufOnVXaNE0Ye3/NYKm8/ygZl2bNmiWbbL80+EjzamlPSF1JTU1FX1+f2NhYhg0bxuHDh+VxiKGhIS1btmThwoVkz55dnnN169YNHR0dHB0dmTlzJkuWLCEmJob8+fNz5swZYewRCDQY9dp5Fqg1hoaGNGvWDF9fXyZMmMDVq1cZP348vr6+mJiYZDD4NGnSRF7IGjZsmFobe+DPSVlAQABGRkYcPXqUZs2aUbFiRdLS0khNTcXAwIBRo0ahr6+Pp6fnV00fX6Kug11t1Azaqxvg3r17HD58mCZNmuDs7CwvTiUnJ9O5c2fevXuHk5MTo0aNyqClX79+GBgYULNmTXmxVhPQRs2gvboBjI2Nsbe3p2HDhmzfvp3NmzezcOFCjh07hpubG40bN2bChAl4eXnRtWtXOnbsKKe6qVy5Mn5+fmpnzvsS5T7306dP5MiRA4VCgbGxMTNmzEChULBq1SqWL19OuXLlsLKykvthZYPP6NGjiY2NxdzcXGOMPfDn5FuKQDVp0iSVCEUBAQHs37+fNm3aMGbMGIoWLZrhu5LhSdkkpc5tuNCsHZpBe3VDeh8FcO3aNWJjYzE1NZXfk3Rky5aNihUrEhISwtWrVzUyraAyMTExpKam8vz5c96+fUvevHnl95THmjVr1mTNmjWcP39e7U+Knzlzhh07djB48GCVBcP4+HiSkpIwNjZmzZo1QLoxJG/evPLpUYkvTR9jx47Fx8cHa2vrHyfkO9FG3R4eHty/f5+JEydSunRp+fW4uDjq1q3L3bt3CQkJIXv27Lx8+ZKCBQtmMCd/qXno0KEsX75cPjCkSbx584anT5/i4OBAnTp1SElJYf369QQEBJA/f34OHTpE3rx56d+/P9OmTePMmTMMGjSIlStXki9fvgwbZerabkuboLGxsTg4OBAaGsrr16+BdLN5s2bN6NOnj7x50rx5c7Zv387vv/9OUFAQW7duxcTEhNevX5MvXz4WLlyo0vapG1I6PIBp06Yxd+5cypQpg5ubG7/++qt8n6QDQN9i8JGMPeq8OSrpKVy4sBy9IjODj1SnJYOWi4sLBQoUoESJEmzevJklS5ZQrFgxGjRokGVavpXv1SzNrxYsWICVlRVVq1bl5MmT+Pv7k5SUJEdOlFDXew1/bpLGx8dz8eJFGjVqRPXq1Rk3bhypqans2bMH4C8NPps3byY2NhY3NzdKlSqVZVq+FcmM2qBBAx49ekTx4sVp3bo1tra2FChQQB5PW1hYyEaHuXPnsmDBAnldUJOxsbHh3r17XLx4EV1dXd6+fYuFhYXcLunq6mZqdBk9ejT6+vr06dMnixX8PbRJtzTeklLwWFtbM2XKFMqXLw+kRyo7c+YMLi4u7Ny5ExMTExYsWEDOnDmpVasWq1evzjQ6kzr3XRLOzs7cv3+fkydPoq+vz9u3b4E/2zrl+ywZfEaPHo2XlxeGhoaMHj06K4v/j5DScHl5eXHy5EkeP37MkydP+O233xgzZoyciqtkyZJMmTKFyMjIrCzu30I5ctiePXu4dOkS79+/J0eOHLRr107FOD558mSArxp8NMHIJI1FlSP0N2nSRF4L8fX1Ze/evbRu3Zp9+/aRI0cOud527dqV7Nmzs2nTJp49e0bx4sVxc3NT+wOtAoHgr1HvXligNkibnpLBx8vLi6JFi7J27VomT55MfHy8PCiS0NfXx8rKivXr12vMhuGJEyfw9PRk3rx5vHjxQiUVjYGBgaxv+PDhTJw4EWNjY9zd3Vm7dq3shtY0tFEzaK/uK1eu8PnzZ2xsbGSzR1paGm3btuXChQs4OTnJaZgSExMJCwvj1atX8vd79uypMaewJLRRM2iPbuV+50uqVasmL1I0bdqU27dvY2dnx/Dhw0lNTaVSpUpMmTKFhw8fqpy0VHdjD/y5MDxx4kQcHBx4+vSpvBhtbGyMp6cngwcP5uXLl7i6unLo0CF50xz+NPgATJgwAXt7e+Cvf8+sRnkDVEdHhzdv3nDo0CGqVq1KnTp15Pd9fX3x9PTEysoKNzc3efPk7Nmz3L59Gx0dHZXJuzpP5IVm7dAM2qv7SypXrkyRIkV48uQJ169fz/C+1I7VqVMHQN500WRKlChB2bJlefnyJefOnctg9pDaauVN0S8/o068e/eOcePGsXz5ci5cuKBSVmNjY0aOHMnYsWMpWrQoKSkpzJ07l/fv38t9mDKS6aN37948evSIDx8+/Gg534w26r516xbLli1jx44dPHv2TOW9HDlyMHLkSIYNG4aFhQWfP38mMDCQjx8/flWzm5sbXbp0ITo6muLFi/9IKf8aJUqUwNPTkx49egBw48YNlixZgrm5OTt37pQNLPXq1SMhIQFzc3NCQ0Pp3r07CQkJar9RBsjRPmNjY2ndujXbt2+nVKlS2Nvb06lTJ/LkycOhQ4ewt7eXzWwATZs2ZceOHfTo0YM8efKQK1cuOnTowIEDB9R+vUi6L97e3gQGBmJlZcXixYvp378/pqamKs+z9Ldk8ClUqBDr169n7NixxMbGZphnqPs9/9Ls8vvvv3Pv3j05lU1CQoI81rC3t5cPkXTu3Jn69eszY8YMDAwMCAoKolChQlms5tv4Hs09evSga9eufP78mQ4dOtCkSRN69OhBWFgYEyZMoEWLFlms5tvR09MjMTGRVq1asXDhQvn1ihUr4ubmRrt27QgNDcXX15czZ86ozBs7dOiAk5MT+fLl4/jx4yrmbHXHwMCAkSNHMmDAAF68eMGSJUvo2rUro0aN4tq1a/L6n52dHeXKleP69etyv6zOc+cvkcaTEjo6OlhaWuLr60vdunVJS0vDycmJp0+fqqzvK/89ePBgPDw8AKhateqPFfA30VbdysTHx7N//36MjIwYO3Ys5cuXl3+XokWL0qNHD+bPn4+5uTkbNmxgw4YNgKqx1dDQUKWvU/e+C6Bw4cIsWbKEpk2bkpKSwpgxY3jw4AF6enqZ3udu3brh5+dHvnz5aNmyZVYW/Zv4q/anVq1aBAUFUaRIEcLDw9HR0cHPz48FCxbQqlUr+bsJCQmA5j3XyhFsevfuzdChQ1m8eDGbN29m2bJlDB06lLFjx/Lo0SP5O5MnT8bR0ZHk5GRsbW0JCQnJQgXfj66uLomJiQwbNow7d+7g7OxMcHAw3bp1o2HDhlSuXBk9PT1u3rxJ+/bt+fz5M9myZSMxMRFINyfPmTOHXbt2MXv2bGHsEQh+AtS/JxZkCWlpaXz8+JFbt27x5s0blUGboaEhzZs3x8/PjyJFirBy5UomTZr0VYOPJk3qatasiZOTEwYGBjx79oyjR4/y7NkzWb+yvuHDhzNhwgTMzMyYOHEiy5YtU9k41RRq1aqFs7MzhoaGPHv2jCNHjsiTGsioeeLEibLmpUuXaqRm0M57DfDx40cgfQMC0jfJrK2tuXjxomz2MDc3B+D9+/dMmzaNQ4cOZVVx/xW0UTNoh+6UlBR0dXVJSkri7NmzLFmyhOXLlxMSEkJ0dDSQvvFbrlw5Nm7cyJw5c6hVqxYHDx7E19eXqKgo3r9/z4YNG4iPj9e4TfD79++zefNmQkJC8PPzUzH4GBkZMWPGDIYMGcKzZ89wcXHJ1ODzJeq6SCPlRQfkyamhoSE6OjqkpKQA6Qt1Pj4++Pj4YGVllSHayZo1a/j99981xqApNGuHZtBe3UCGDdHs2bNTrVo1nj17RmBgoIphICkpST4hv3fvXgBq1KiR4TrqSGYbv5A+5zIyMsLS0pLo6GhWrVqlolk5Qs/ly5eBdGOTvr6+2mrOkycPdnZ2jBw5kg4dOqCjo8P79+/l93Pnzk2/fv2wsbGhUKFC7Nu3jw0bNvDp06evmj7Gjx/Pzp076d2794+W881oo+7y5cszZ84cFi1aRKNGjUhKSuLJkyfy+7lz58bGxgYbGxsKFCjAtm3bWL9+/Vc1Fy5cGA8PD65du6ZRC87SnFGhUJArVy7atGkjHxzZsWMHt2/fZurUqVhYWMjjsFKlSlGhQgXc3NwoU6YMbdq0yZDuR12R0v+OGjWKGzdu4Obmxt69e5k+fTqrVq1i9erVDB48mOjoaMaPH8+2bdvk79auXZv58+cTFhbG8ePHWbp0qUZE9wA4cuQIgYGB1KpViylTplC9enX5vZSUFB4/fkx4eDgPHjyQX7e0tGTVqlXkyZOHzZs3c+HChawo+j9GR0eHtLQ0ChcuzLhx41TMLocOHZI3BwEWLlzIkCFD+OWXXyhbtiwDBgxgz549am/g+pLv0Txnzhy5nX7w4AHVq1dn0aJFDB8+HNAsA0hUVBS3b9/m4MGDHD9+XH69YsWKjB8/Xjb4+Pj4EBYWpqKtffv2+Pj4cPjwYQoUKJAVxf9mpP5HSmcydOhQZs6cyaFDh+jbty/ZsmVj165dWFtbY2dnx4YNGzA2NqZGjRo8efKEOXPmAOo7d/4ShUKBnp4ecXFxKhvaUsqxGTNmULt2bcLDw3Fzc/tLo4udnR0PHjxQ+/Q1oKp79+7d8uuZ6R4/fry8Jqzpur/kw4cPXLx4UU5DDxmf3ebNmzNw4EAUCgVXrlyRP6OcclUT1ssUCoVcv1NTUylQoACLFi2iRYsWvHnzhgEDBnD//v0M91n6Tt++fbl06ZIc+UZdUU7t++jRIy5cuMDJkyflcYZCoaBjx47s27eP0NBQzp49i62trTzm0tXV5fz582zYsIFffvlFY8ZioFqv27Vrx6lTp+jcuTObNm1i7dq1dOrUCWNjY0JCQhg8eDAPHz6Uvzt58mScnJxITk7GxsZGXlPQFDZs2MDx48fp3Lkzo0ePxszMjHv37jF58mTZQF+9enX++OMPWrduzcePH+VU5wCmpqYYGhrKaVQFAoFmoxmjUMEPJT4+nsmTJ9OhQweaN29OkyZNmDZtGhcvXpQ/Y2BgQIsWLfD39/+fBh9NITU1FXNzc8aMGUPv3r0pVKgQt2/fZseOHfImOWQ0fUh5WM3MzNQ+9diXpKamYmZmxujRo+nVqxeFChXizp077Ny586uahw0bJms2NzfXOM2gnfdawsLCAkCO0NKmTZtMzR6QHmb/+vXr8nc0FW3UDD+/buWTGgMGDKBbt264ubkxbtw4bGxsGDBgAJs3b1aJPNe/f3+Cg4OZPHkyBQsWREdHh5iYGE6fPq2R/VapUqVYunQp5cuXJzg4GB8fn68afJ4/f46Li4tKTmZNQfnE2NSpUwkICODt27dky5aN3Llzc//+fW7evImXlxe+vr6ZGh9CQkLYunUrzZs314iJrNCsHZpBe3WnpqaSlpYmh0eH9EXj7NmzM3HiRPLmzcuhQ4dwdHTk0qVLxMfHY2hoCMDq1avZvHkzlStX5rfffpO/q64om7cAlTZYV1cXQ0NDRo4cSeHChTl27BjOzs7cvHmTpKQk+dm4dOkSS5YswcTERK01S31pnz59cHd3J2fOnLi7u+Pm5kZUVJT8uTx58tC/f3+GDh2Kjo4O8+bNY+3atV81fRQrVkxO0aSO/bU26pbK07lzZ3r16kV8fDwtW7ZkxowZ3L9/X/6cZPAZPnw4aWlpzJ079y81FypUiIIFC/5QLd/Ll/dCOSWT8r8TExM5ffo0OXPmpFq1asCfxupDhw4RHh5O7dq1OXXqFC4uLoB6GhUzMydev36do0eP0qBBA+zt7dHV1ZXNDnXr1mX06NEMGTKEuLg4goKCePr0qfy7SQfAjI2NVVJ8qAMvXrwgJiYm0/fCw8NJTEzE2dlZZdPv5MmTuLi40KBBA5o3b06PHj1Yu3at/H7dunUJCgoiMDCQpk2b/uca/ilfa2uk57pQoUIqZhdvb28Vs4uRkRH+/v7s2rWLPXv24Ofnp/ZzzK9plur0/9JsZmbGwoULOXToEGFhYWzYsIFevXrJ19YUAwggmw4Bjh49CiAbzStUqCAbfMLCwvD19c1g8LG2tlbr+y1FK8ksZa2uri7VqlXDz8+Pffv24eDgQIUKFdizZw8jR45kzJgx6OjoYGJiQmhoKDdv3swSDX8HKf2YtbU1NjY2KlHVJKOLp6cn1atXZ+/evbi4uPylwSdHjhxZouN7Udbdv3//v9S9Z88exo0b91Po/pKEhAQSEhJ4+vQpERERQMZ5hLGxsTzHOHPmjMYcGJHqtDQ+efPmjdyPS2OuAgUKMH/+fJo0aUJ4eDg2NjY8ePBA5d4qj0mV10rVEeXDH/Pnz6dbt260atWKTp060apVKwYMGMDu3btJTU2lePHiFCtWDBMTE5UoVmfOnMHLy4uHDx/i5ORE2bJls0rOdyOZb2fMmMG1a9cYM2aMnBqzbdu2BAYG4ufnR/Xq1bl8+TLjx4/nzZs38vcnTZrE8OHD0dXV1Yho9RLx8fGcOHECExMT/P39MTMz49GjRwQGBrJlyxZ+//13Fi5cyLJlyyhWrBg3b96kTZs2fPr0CUNDwwxrEgKBQPNR/7wTgh9KTEwMHTt25MqVKxQtWpQaNWrw+vVrAgMDOX36NM7OzrRu3RpQNfiMGzeOVatWERMTw5w5czA2Ns5iJX+NlB9b+i/8OeiTzC46OjosWbKE+fPnY2ZmRqdOneQTeMp5WUeOHCmHv1NntFEzCN3S5ETSXrx4cbJly4a/vz/bt28nKioKJycnRo0apTKBWbZsGXv37qVt27YaoRe0UzNop25pMzwuLo62bdty/fp1rK2t6dGjB+/fvycsLIx9+/Zx//594uLisLGxkU8amZub4+joSM2aNTl48CC7d+/G19dXo6LMwZ/3vWnTpnh5eeHm5sa6desAcHNzo2jRoioGH4AVK1YwevRo/P396dChg8YsNEvlnD17NnPnzqVGjRr069ePvHnz0rVrV2bOnMmQIUO4detWpsaHCxcuMGfOHAoUKECHDh00Ku2a0Pxzawbt1B0XF8f48eO5ffs2t27domPHjjRr1ozOnTsD6dFAtmzZQpcuXTh06BCRkZGULl2a+vXrc/XqVQ4ePIiZmRnLli0jf/78Wazmr1FefA0ODubcuXNcvnyZdu3aUatWLaytrQEoW7Ys69ato1OnThw8eJCnT59SuXJlWrZsydOnTwkODpY3FCWzhzqiq6sra9bX1+fmzZts2LCBV69ekTNnToYNG0bp0qWBP00fkL4wPW/ePAD69etHjhw5VMbuX/5/qBvaqFtZM6S3RS9evODWrVvkyJGD4cOHy5pz5cr1tzSrI19qjoyMJDw8nEqVKlGyZEkaNmwop3tIS0sjMTGRjx8/EhoaSpkyZdDV1eXChQssXLiQMmXKkC9fPjlij7r9Dq9fvyZ//vyZpnq8efMm0dHRtGrVSt4wUo48VKxYMfr27cvx48c5d+4cjx8/pmjRoirXUDfOnTtH586dcXR0xN7eXtYjnY4/f/488KcRJCUlhQULFjBz5kyio6OpVKkS+vr6XLt2DU9PT6pVqyZHeGjQoIGcWlGdzR4pKSno6+uTlJTEpUuX5JREv/76K2XKlKFSpUrAn2YXSO/bvL29AbCyspJ/t3z58mWNiO9EuU4/evSIJ0+e8Pr1awoUKECpUqXkVGLforlcuXIq11YoFGp7rzNDaoMaNWpEnjx52LJlCyNGjKBIkSLycysZfAD27NnDzJkzSUlJoXHjxmqvVXq+ExIS2Lp1K+Hh4dy/f59q1apRuXJlOnbsCEC2bNkwMTHB3d2dp0+fEhoayrx589izZw/x8fEAPH/+XE6zqCkkJCTQvHlzbt26xbRp00hLS2PAgAHAn0YXX19fXF1d2b9/PwB+fn4ULVpUvv9fmlk1AW3VrUyhQoWoUaMGFy9e5NatW1SsWFGlL5LawRo1apAjRw709fU14kCrVKfj4+OZPXs2V65c4cKFC+TJk4dGjRrRq1cvqlatiomJCQUKFGDx4sWMGDGC48ePy2avkiVLyvqVoxSpK1LUGoBp06YRGBhI0aJFGT16NLq6upw9e5aDBw9y7do1Xr58ia2trcpeSGJiItu3b8ff359Hjx7h4eEhm1HVbRz6V3z69ImwsDBKlCiBg4MD2bJlk+9j9uzZadKkCXp6eri5uXHu3DnOnz9Pu3btSE5OxsDAAG9vb5ycnNS6HZeeb4m0tDTatGlDr169MDMzIyYmhu3bt7N27Vp69uzJ3LlzgfTDJGXLluXJkyfcunWL+vXrc+bMGbJnz55VUgQCwX+E+q/+Cn4Y8fHx9O7dmz/++IMRI0bg5uZG9uzZOXbsGE5OTly/fp2pU6eiq6tLq1atgD8NPtLGw759+5g+fbpam3uUJ+8vXrzg/fv3fPr0iYIFC8oLkGZmZjg4OACwePFifHx8gPSTiZJTX3lBU9pkUdeFGm3UDNqp+39NSipXrszEiROZMmUKUVFRtG3blkmTJql8ZtGiRcyZM4fcuXPLp4/VGW3UDNqrG9LrZEpKCi4uLly/fh1HR0fc3NzkBYhmzZoRFhZGdHQ00dHRJCcnyxEfpLrbuHFjateuzfjx4zXmZI6ygUvZtNikSRN8fHxwdXWVDT6urq4UK1ZMxeCTmprKqlWr+Pz5s1q2X1/y5WL75s2bsba2ZsKECZQoUQKAVq1asX37dm7dukXRokUZMGCAivHh+PHj+Pv7c/XqVebOnUu9evWyRMu3IjRrh2bQXt2xsbG0a9eOa9eukSdPHmJiYli3bh3bt2/n8ePHjB49GoBq1aqxZ88epkyZwo0bNzh69ChHjx7F2NiYOnXqMGvWLMqUKZPFav4a5cVXd3d35syZI5vGIyMjyZUrF2PGjMHe3h74U7OTkxN37twhIiKCjRs3ApA/f35mzZrFwIEDAfUdhypHokpOTqZChQp4eXkxZ84cli9fjkKh+J+mD11dXfr06aNRp6O1UbfUhiUmJqKjo0Pjxo3x8/PD39+fFStWAHyT5t69e2vM+FP5Pvv5+bFw4UI+ffokv6+rq8vw4cPx9PREV1cXY2Nj7OzsGDt2LAEBAURFRZErVy6Cg4N59OgRs2bNUolwoU4bKlOmTOHu3btMmjQp0xQksbGxAERERMhpcr+kWrVqWFpaEhUVxZUrV9S+j7p48SIJCQncvn1bRY90zzt06MChQ4eYM2cOBw8e5P79+5w+fZpy5crh4uJCx44defz4Ma6urhw6dIi3b99qhFFPQjkq6pAhQzh58qRsZAAoUaIE/fv3x9HREcjc7KKrq0vz5s3Vej1QGeWx2Lx581i9erVKtLXq1avTpUsXRo0aBXxdc4sWLTJNq6dOdfpbkMpbq1YtmjZtytatW1m0aBFTp05V2eiXDD76+vrs3LmTbNmy8dtvv6n1fVd+vnv16kVoaKg8n5YiFA0ePBgfHx/09fXlcVbRokXp1asX9evX59GjR3h6evLhwwdWrVql9gbzLzE3N5fTuHh4eODu7g7wl0YXfX19PDw8KF68eBaW/J+hLbqVjRnS39JzLKWUO3XqFFOmTKFKlSqULVuWtLQ0dHR05Hbw/PnzfPr0iQYNGqh1fYY/63RMTAxdunTh4sWL5MqVC2NjYx4+fMjDhw85c+YMvXr1YsiQIeTIkUNO0SUZfAYPHszSpUs1KnqLdI/XrFlDYGAgVlZWTJ06VY4oGBsbS7du3bh48SKRkZG8efNGbqsePnyIra0tly5d4pdffmHevHn06dMHUN+55deIiorijz/+4LfffpNNK9JzDOn7lbVr18bS0pI1a9awe/du2rVrh4GBgdz3q5OxRypTXFwcJiYmsgkpJiaG8ePHM2PGDHLmzEn79u3l70RHR7N69Wpq167N7NmzgfSooTlz5qR8+fLymsOzZ894//69MPcIBD8hOh8/flS/uL+CH05qaipTpkxh1apVDBgwgIkTJ2JqasqDBw/w9vZmy5YtlClThrt371KqVCk8PDzkCD6Qvoh56tQpSpYsqdZ5OpUn74sXL2bjxo1ERkYSHx9P3rx5adSoER4eHhQoUABdXV1iYmKYN28eixYtwsTEBDc3NxXThyagjZpBO3Urn0RavXo1169fJzIykjJlymBlZSWfiE9ISGDq1KksXboUgOnTp1O6dGl0dXXZunUr27dvJ2/evISEhGQ4faZuaKNm0F7dyty5c4cuXbpQtGhRduzYIaeiSUtLw9ramqtXr2Jvb4+DgwM5c+ZUmaxq0okU5bK+evWKAgUKqLRvyu+fOHECV1dXIiMjGTBgAI6OjrLBR0dHh4SEBC5evEjDhg2zTM+3oqzr0aNHvH79GisrK7Zv307Tpk1V3t+1axfOzs68ffuWli1bUqdOHQoVKkRkZCQrV64kJiYGDw8P7OzsMlxbnRCatUMzaK/ulJQURowYwYEDB+jbty/jxo3j7t27hIWF4eHhAcDEiRNxdnaWv/PhwwfevHnDpUuXAKhUqRLFixfXGDMApEfIc3FxwdLSEkdHR+Li4rhy5QqBgYFARs0vXrzg7t27nDp1isTERKpUqUKZMmXktD6asPjq7OzM58+f5fHHzp078ff359atWwwePFjF9AHp93n16tUsXryYpKQkRo0axahRo2Rjrqagbbrj4uKoU6cOLVq0YM6cOcC3a16yZAnv3r3D29ubQYMGqW27lRkzZsxg1qxZVK5cGXt7e7Jly8b79++ZPHkyMTEx9OnTh4CAAIyNjXn+/DnLli1j7ty5csSX7NmzM2XKFAYPHgyoX7sdFRVFz549iYqKolevXtjb28ubRtIY9MiRI/Tu3ZuKFSuyb98+OXqPND5NTEwkW7ZsLFq0iAkTJjB9+nTZyKjO7Nu3j3r16pEzZ04uXLhA+fLl5UMAz58/Z/78+SxatAhIj8I1ePBgOnXqpJKmS0qHceLECY2Kiqqrq0tcXBytW7cmPDwcKysr2rVrx8OHDzl//jxhYWEAjBw5Ek9PT/m7L168wN/fn40bN5IjRw5mz54tR6VTZ5Tr3dSpU5k7dy5FixbF2tqa+Ph4Lly4wL1791AoFNjZ2cnjFPhT84YNGyhcuDATJkygU6dOKhuL6oy0aaiM9HtI9fj69ev06NGDEiVKsGPHDkxNTTO0VeHh4SxcuJAxY8ao9VqCVO74+Hjat2/P1atX6dWrF87Oznz8+JEPHz7Qv39/2djm6ekp98Nfak5KSiI6Opo8efJklZx/zMePH1mxYgUeHh7kypWLKVOmyEYXSG8PLl++zKRJk7hw4QLdu3dn4cKFGhEd9K/4mXUr979JSUnExcVlmCspFAo6derEqVOnKFy4MGvWrKFcuXJyBOuLFy8yceJEwsPDCQ4OpmXLlj9axneTkJBAly5duHr1KoMGDWLcuHEkJSURFRXF/PnzOXXqFIaGhgwfPpyRI0fKWl+9eoW9vT2HDx/G0tKSXbt2oa+vr1Zjsa+hUCj48OEDNjY2XL9+ne3bt1OrVi35fX9/f7y8vGjVqhXjxo2jZs2aKt9ft24dt27domvXrlSvXh3QjLnllzx48IDmzZuTM2dOdu3aRbFixTLVERoaSpcuXahfvz5btmxR6/ostT8TJ06kQYMGcoTMW7dusXTpUrp3767y+Xnz5jFlyhTGjh3LlClTSEhIkI3GjRs3pm7dunh5efHs2TP58JhAIPi5UN8WTfBDuXfvHrt27aJq1apMmjQJExMTHjx4gK+vL1u2bMHGxoZp06YxduxYdu7cibu7O2lpabRt2xZId8Q2b948i1X8NZmFLsyXLx9dunQhJSWFsLAwtm/fTmRkJLNmzaJatWoqUV0WLVpEQEAAqampdO3aVSM2FbRRM2inbuWTSN27d+fs2bOYmJigr6/P5cuX2bhxI6dOnWLQoEFUrlyZCRMmkD9/fjw8PJgyZYp8HWNjY5o2bYqfn5/KQrw6oo2aQbt0+/j4UKtWLVq0aJHhvatXr/L8+XOGDx+uYuxp1aoVly5dwsnJidGjR2Nubk58fDzXr1+ncuXKmJqaasSkXUIq64gRI+R7W7lyZZXITcoRfNzd3enduzdBQUEoFAqcnZ1VUnRJxh51n8BLuseNG8fy5csZPHgw1atXl8uvHMWoY8eOGBsbM2/ePM6ePcvhw4cBMDQ0pGLFiowYMUKeCKuzbqFZOzSD9upWKBScP3+ezp07M2nSJMzMzMiTJw+1a9emUKFC2NnZyRuGktklR44c5MqVi7Jly2Zl0b8L5QV2SN8srlmzJn5+fnJKk1atWlG6dGkcHBwyaC5UqBCFChWiUaNGGa6t7ik+FAoFT548kSO3tGvXjg4dOtCpUyd0dHTw8/P7y6guqampeHt7kzdvXo0xuID26pZOg27ZsoU2bdpgZWX1zZrj4uLYunUrTZo00ahx2fbt2wkMDKRhw4Z4eXnJdRrgypUrbN68mSdPnvDy5UtKlixJ4cKFGTt2LI0bN2b//v2yWa9OnTqAerbbpUuXxtfXVzZspKWlMXr0aCpUqCC3bTVq1MDCwoLr168zatQoVq5ciZ6eHqmpqUB6WhtIH6+bmJiobDypI1K73aZNGwA8PDyYOXMmPj4+9O3bFzMzMwoXLoy7uztdunTh5cuX1KpVi4IFC6pcJzQ0lGPHjmFpaZnhPXVGiorq5OREeHg4Li4uODs7ywaQ58+fs2/fPsaNG8fChQvJkSMHLi4uwJ/RbGJiYjh27JhamzyUkdqdoKAg5s6dS+vWrZk8eTLly5cH0tu3I0eOMHHiRBYsWICxsTETJ04E/tSckpJCcHAwycnJGmPsgfT12+joaPz8/OjYsSOlSpUid+7cwJ+RD4oUKULZsmUJDQ1l5cqV2NvbZ2irq1Spwty5c9W+35IimHh5eXH58mXs7OwYP368Slru4sWL8+HDByDdjC5pUtaclpaGoaGh2ht7vkzl8iU5c+Zk8ODBKBQKPD09mT59OpAxks20adPw8fFh7Nixar0hLqGtupWjCi5evJiDBw9y584dGjRoQMuWLWnXrh3Gxsbo6OiwZMkShgwZQlhYGD179qRhw4bUqlWL2NhYNm7cyIMHD/Dy8lJ7Y4+0/rVs2TLOnj3LoEGDGD9+PGZmZqSkpJA/f36KFi3K8uXLWbVqFRs2bJAjkqWmplKgQAECAwNxcXHB1dVVLVOQnTt3jsTExAzpmHV0dHj9+jVXrlyhTZs2KuMrHx8ffH19sbKyYuLEibLB+N69exQsWBAzMzP69u0rG7BB/eeWmY2TpbXNwoULExERwZEjRxg4cCC6uroZjKrm5uakpqZibGys1vU5KSmJRYsWce7cOby8vHBzc2PChAncu3ePSZMmqUTskZD6qbi4OADZ2LNixQoeP35Mjx490NfXF8YegeAnRn1bNcEP5f379xQtWhRvb29MTEx4/fo1y5YtY9OmTfTr108+idekSRN27txJVFQUnp6epKam0qFDh6wt/DciTcqWL18uhy4cP368fAo2NTWVmjVrcuPGDXbs2EH58uXR09PD1NQUBwcHdHV1mT17NhMnTsTS0lIjDB/aqBm0Q/eXIVf19PSIj4+nS5cuXL58GRsbGxwdHeUwjNOmTSMoKAg9PT2cnJwoVKgQTk5O1KtXjzt37vD48WPMzc1p3LgxJUuWJFeuXFmsMCPaqBm0V3dISAi+vr7kzJmT1atXZ9jklH4TaaKXkpJCmzZtMhh7IH2i1Lt3b9zc3Bg2bNiPFfIv8f79ewDat2/P7t27v2rwsba2xsnJiZkzZ7J69Wri4uKYNGlShpDS6jyBVyYpKQlIDzucnJzMmTNnaNSoUYYoTFZWVpQvX57Xr1/LYdYlw4CU8kIdN9AyQ2jWDs2gPbpjYmLw9fWlRIkSJCYmyouvUhump6dHnz590NXVZcSIESpmF2nDUZ0X475EWmDftGkTBQoU4P79+0ybNo1KlSrJ9ylbtmz8/vvvGBgYZNAMmZ+qB/VP8aGjo0Px4sUJCAjA2dmZ7du3U6dOHQoWLEjHjh0B/tL0MWDAAJo1ayafJNUUtFV3tWrVcHd3Z+rUqezdu1cOjf8tmkeOHMnw4cPlDWVN4dixY+jr6+Pm5qZi7PH29iY4OBhra2tcXFwoWbKk3IZnz56dJk2a0KRJE5VrqWO7LZW5efPm6Ojo4O3tzebNmwFkgw+kR60JDAykX79+7NixA11dXRYtWqTSbq1Zs4aQkBCqVq2q9mkUv8TQ0JBs2bIxffp0dHR06N27N+bm5hgYGKhspCmbOS9cuIC/vz8JCQkMHjyYfPnyZVXx/xZPnz7l1KlTVK9endGjR2NgYEBSUhKGhoYULlyYQYMGoauri5OTEytXrqRJkybUqVOHtLQ0ChUqxPTp05kxYwYFChTIainfzOfPn9m5cyfm5uY4OztTvnx5+Z6WLVuWX375BVNTU8aMGcPChQupWbMm1tbWsmZXV1e6deuWqRlXnUlLS6NHjx6cO3eOjRs38ssvvzBu3DgqVKggm9Ly5s3L6NGjCQ0N5cCBA/Tq1Yu8efNmGIeou7FHQoo2/+uvv+Lm5iYbe1JSUmjdujW3bt3CyckJe3t7TExMiI+Pl9MSSe2iurXXmaFQKOSDYKtXr6ZNmzYq6R8lcubMyZAhQ0hLS8Pb2xsvLy/S0tIYNGgQkL5W8Ntvv7Fp06ZMU86pG9qqG/5c15GiCkp90pYtWzh8+LAcDcTMzIyCBQuyadMmRo4cyfHjx9m5cyc7d+4E0g19s2fPls1O6jhGkZDaoevXr2NkZMTYsWPluaU0ZyxWrBi2trY8e/aMbdu2sXHjRpo2bSr/PoUKFZLXTdWNe/fu0bp1a/T19dm+fXuGyNsfP34kISFBJXWar6+vbOyZNGmSSuRAFxcXqlevzuTJk4E/Ddig3nNLqT9OSkpi37598sEnHR0dChUqRL9+/Rg/fjyOjo7kypVLPmAAf87Hd+3aRVpaGg0aNADUL1qmhKGhIY6Ojujr67Np0yZ69epFcnIy06dPZ8CAARgZGWWok1WrVgVgyZIlFChQgHbt2rFx40bWrFlDrly5NGa/ViAQ/H00Z5VU8J9iaWmJj4+PvOgSERHB2rVradeuHfPmzZM/16ZNG3x9fSlUqBBXrlxh5syZNG/eXOXEgzrz+vVr1q5dS968eZkwYYLcEQIsWLCAR48e0aZNGzp16oSZmZn8nqmpKaNGjSI2NpYSJUqohF1Wd7RRM/zcugMDA6lataq8ASidRAoICODChQvY2toyZcoUWZeFhQVTpkwhe/bsGBsbq+RZtbS0xNLSMqukfDPaqBm0VzdAhw4d+P333wkODmbgwIGsXLmSxo0by5MxaSHx+PHjdO7cmYEDB3Lx4sUMxh4Ad3d3Pn36pJEnFiS9mzZtYvjw4WzatIm2bduyd+/eDAYf6e8cOXKQP39+8uTJw5YtW+jTp49G5YuHP3UHBgZiamrKokWL0NfX5+zZs/z2228qpymlzxYrVoxixYplCD0sXU9dF6ckhGbt0AzapTstLQ03NzfWrVtHo0aN0NfXJyUlJUN0G4BevXoByGYXXV1deZFL01i1ahWOjo5yeo98+fLJEZmU+ZpmdTxBmhlfLjJK97VVq1bs3r2bffv20bNnTzmdc2amjxEjRshpnfPkySOfiFfnTQVt1P1lnZX+3bJlS3bt2sWGDRvo1q2bvAHxvzSr4+GJ/8WHDx84cuQIFSpUUBlT+/r64ufnh5WVFRMmTJA3VP744w+ePn0qR4P5ckNBHe+zNNfQ1dWlWbNmKBQKfH19MzX41KlTB19fX1xdXdm2bRsPHz6kTp06VK9enRMnTrB7925MTU2ZN28eefPmzUpZ/xPp2Q4ODqZ58+a4uLiQLVs2fH195cinffr0kedc0r1U3jwKCAjgxo0beHl5ySmS1XUTKTPu3r3L8+fPadOmjZxmTdm4oaurS4cOHTh8+DAHDhzg9u3b1KlTRz4pr0mRiiTevXvH5cuXqVatGjVq1MgwntLV1aVz585cvnyZ4OBgwsPDsba2ljUXKVKEIkWKAOrbdktIRmmpnF5eXuzbt49jx45x7tw5evXqRa1atejQoQN9+vTByMiIxo0b06BBA0JDQ7l+/Xqm0XQ1hXv37hEeHq5Sj9PS0r56OOjEiRPExcXRtWtXjanDgLwmMHToUPbt28ebN28YPHgwRYsWzfDZnDlz0r17dy5fvszhw4eZPXs2urq6srlDR0dHYwwu2qpbYt++fSxfvpyWLVsybtw4TExMOHLkCMuWLWPJkiXExcXh6emJubk5pqamrF69mrNnzxIZGcnLly+pVKkSpUqVkiOXqXt7lpqaSmJiIleuXCE1NZWPHz9SuHDhDGUuWrQodnZ2bNu2jcOHD/PixQsKFiyYwQCibvzyyy90796dLVu2MGDAAHktVMLAwIC0tDQ5bfWsWbPw8fHJ1Nizfft2jh8/Lptx1fm+KiP1WbGxsYwYMYI9e/ZgZmZG6dKl5QPaw4cP5/79+yxbtoyBAwcSHR1N27Zt5YMDK1euZPXq1ZQpU0Y2uqhze16hQgVGjhzJ3r17iY2NpVChQlSpUgVjY+MM8zCFQsFvv/3G9OnTmTJlimywVigUFCtWjPXr11OsWLEsVCMQCH4EmtGiC/5TUlJSgPSTd5JJZ/78+SQkJGBnZwekn3KA9M4jOjoaGxsbHBwcWLx4scYYeyA9nPD169fp2bOnitnD19eXqVOnYmVlhZubmxwm+8aNG/JnTE1NmTJlCoMHDwbSB7uagDZqhp9X98SJE5k2bRpHjhwhMTFRfl1XV5ewsDAsLCyYNm2avGCRnJyMlZUVd+7cwdbWFmdnZ0xNTUlISJC/q076MkMbNYP26oY/+6W5c+fSv39/3r9/z6BBgzh58qQ8GbO2tqZGjRqcOXOGli1bcvHiRVxdXRk1apSKsWf58uXs2LGD1q1b89tvv2WJnn+Cjo6O3AcvXryY7t27y5PWP/74Az09PdLS0lTSEX78+JGKFSsyZcoUFixYkOGkuCago6MjPwdeXl4MHz6clJQUAgMD2b9/f4bPfsv11B2hWTs0g3bpVigUdOjQgXr16nHq1CmeP39OZGTkVxdTe/XqJUd/mDFjhsohA01BoVBQtGhRatWqxYEDB3jz5g0vX7786qlvSbO+vj4zZszAw8MjC0r9/aSmpsp67ty5Q0xMDHp6erL+Dh06kJycjKurK48ePZK/17FjR1xcXChfvjyrV69m3rx53L17N8P11XXxWRt1p6SkoKenR0JCAidPnuTTp09yHS5fvjwdO3aUNT979kz+nrLmNWvW4O/vz8OHD7NIxT8nOTmZ5ORkPn/+zKdPn4D0ueXXNlTWrVvH7Nmzef36NaDebbWEtPEjzRmaN2+Os7MztWrVYvPmzQQGBhIREQGAvr4+nTp1IigoiBIlSnD58mUWLVrE0KFDWb9+PWXLlmX//v0ak1ZxwYIFODg4sH37diDdyOTm5oauri5Tpkxh/fr1xMTEAH/ey/DwcGxtbRkwYADv3r0jMDCQESNGAOm/pbre88zMplJKtT/++IP3799n2k/nzZuXunXrAukRE5TTiGoinz59IiYmhsePH/Po0SN0dHQyaMmePbu8ZnTy5El5bv3l59Sx7VZGX1+fmJgYOnTowIEDB6hevTouLi7s3r2byZMnU79+fc6ePcv48ePp3r07Xl5exMbGYmVlBcCcOXN4+/ZtFqv4NjJ7vqXXXr58CaT3a9bW1pkeDpKiuuzbt09lHUadUdaclpZG06ZNKVeuHMuWLWPp0qU8ffo00++VLFmSWrVqoVAoePXqFWPHjmX9+vU/qtj/GG3V/SWXL1/G3NycSZMmUbt2bSpWrMiQIUPw8/OjRIkSBAcHM3HiRKKjo+XvWFpaYmNjg6urK23btpWNPep4aOTLdUw9PT0MDQ2xsLAgOTmZO3fuyIchlUlOTqZ8+fKUK1eO6OhoEhMT1b6/kvripUuXZlgLlahZsyaNGjXizp07tGnThhkzZmBtba1iMIf01F4BAQH88ssvsjFVE0hLS5ONPa1bt+bgwYN069ZNjr6mPD4ZM2YMQ4YMAcDBwYEuXbrQu3dvWrdujbOzM3p6eqxZsyZTo5+6oNyO+fv7k5iYyK+//srz58+ZOnUqFy5cyDAmk55jW1tbVq9eTf369enQoQPOzs7s2bNHY1KkCgSCf4ZmtOqC/wRpcCSd3pCIjo7mxYsXmJiYyOlapNOjK1asQE9Pj4YNG+Lu7i4P/tQRadME/tQqpTVRPoH0VwtyAQEBcph8QOXksDoOirRRM2iP7sDAQBYuXEinTp3o0aOHSgjO27dvc/78eSpUqICJiQmQ/lu0bdtWZcEiR44cAOzYsYNdu3YB6qMvM7RRM2ivbgl9fX15IS0wMBBbW1vev3/PgAED5ElttmzZ6Nu3Lzly5OD58+c0atSInj17qpwEX7hwIf7+/uTMmRMPDw+1PyX+NfOVgYGB/HssXbpUxeBz5coVlYWM0NBQ1q5di4WFBdbW1vTp0+cvr60OfK1syuMTb29vRo4cSXx8PCNHjsxggNA0hOY/+Zk1g3br/vz5M3p6ejRt2pRx48bRrFkzIN3QJG0OZ0avXr3w9/cnR44cGnFKXPkeS4vGTZo0YdKkSbLmgIAAwsPDv3qNXr16yWmQpf5b3ZEWGZ2dnenatStTp07l6dOncn80aNAg2rVrx5MnT1izZg1xcXHy4mXHjh1xc3PDwsKCoKAgebNNE9BG3dICe82aNRk4cCCOjo48ePBAft/BwYEWLVpw69Yttm3bRnJysrw5IWnOly8fBw8eVBnTqivKdVpKnwjpxoYKFSrw+fNn4uPj//Kk9L59+1i2bBlVq1bVmDotGdeSkpLYu3cvQUFBAHKKa8ngM3fuXLkNNzAwoFGjRhw+fJhly5bh6uqKq6srmzZtYuPGjRpj7AHkCCzbtm2Tn28HBwfGjx+fqcEH0p8VIyMj+vXrJ2/ESa+r67wrNTVVjtCkvNFbtmxZihUrxpMnT2QTnlSP4c+6IKWjMzY2VvtNUomv1WkLCwuqVKnC58+fiYqKAlQ1S39bWlpiYGCArq6u2t7Xb2HRokWEhYXh4ODAyZMnMTAwwMTEBEdHR9asWcO6deto2rQp9+/fJzAwkKZNm/L48WNy5szJjRs3ePz4cVZL+J987fkuXrw45cuX58GDB9y9e5d27dp9NervtGnT+OOPP2jUqJFK+hp1RVnzp0+fMDAwoF+/ftjb21OoUCFWrFjB0qVLefLkicr3pLpQpkwZatWqxbBhw8iRIwe1a9fOChnfjbbqzmxuGRERQdeuXalSpYp88MvU1BQrKyv8/f0zNfhI6+hfmuHUrV1XHpvs3r2bNWvWAOlj03r16gHpUSKvX78uf0ehUJCWloaBgQFGRkYkJiZSrlw5tTZ4SEhpqCB9LXTIkCEZ1kIB+vfvT4ECBTh79izlypVjxIgRVK1aVb6fYWFheHp6cu/ePcaOHUu1atWyQs7fQrrfw4YN48aNG4wdO5bZs2djYWGRweRSuHBhvL29mT59OsWLF+fu3bscOHCAx48f07ZtW/bv36/WRhfldgzS55f+/v4sX75cjhzo5ubG5cuXM3wPwMjIiA4dOrB27VqCgoIYP368xkVtFwgEfx/Ni3Eu+EfEx8ezcOFCIiIiMDAwoGLFijg4OKhMUM3NzSlUqBC3bt1i+/bt2NrakjdvXpYtW8a6deuoUKGCHOJOXZHC90F65IcqVarQpEkT2eghnaL09vaWQ2hndtJu165d+Pv7/3gB38CXC0baoDkztEX3y5cv2bJlC0WKFMHJyYlKlSrx+fNnVq9ezahRo+RF41evXsnfadWqVaYhhgHmzZuHqakpLVu2lA0i6oY2agbt1a1MSkoK2bJlIy4ujjdv3tC8eXPCwsK4efMmgwYNksPStm/fnnv37rFp0yauXbvG9OnT6dChA9HR0Rw4cID9+/eTP39+NmzYQMmSJbNalgpSmH7pv8phVg8ePMidO3eIi4vDwsKCXr16kS1bNvkzS5cuBdLzqHfs2BEvLy/Kly/PmzdvmDlzJh8+fJA3lCXUdSFaWffp06d58OABL1++JHv27FhZWZE/f345OpWnpyc6OjosWLCAIUOGsHz5cjnliSYhNGuHZtBe3QkJCSxZsoRLly4xduxYatSoQcOGDdHR0SEpKYnQ0FACAgJwdXX96mKbjY0NnTt3VkkvqY4o3+MjR44QFhZG27ZtqVWrFg0aNADST42ePn2aWbNm4ebm9lXNffv2pXbt2hq1GX716lU55dKWLVsICQlh6tSpWFpaUrp0aZydnbl69SohISH06dOH0qVLk5SUhKGhIe3btycxMZG0tDQ5lZOmoI26jx49yvPnz4H0Z/3IkSO4uLjQuHFjKlWqhL29PVevXmXz5s306dOHvHnzkpycjIGBAe3bt0dfX5/y5ctToECBLFby12RWp9u3b0+NGjWA9GjHoaGhtGzZkmfPntG2bVucnJxU5pYXL15k9uzZFCxYkI4dO2rE5rBy+gM7OzsOHDggpz9o2LChPK709vaWU3Q5ODhQsWJFAPLly0e3bt2yrPz/Bm3atKF169YcO3aM+/fvy3MHe3t7IF27lKKrd+/emJubU61aNdzd3dHX15f7K3WMeiAh3WflftrJyYlq1apRuHBhKlWqxP79+3FycmL79u3yYT/lFF0HDx4E0JiN8L+q06amplSuXJnw8HDc3d2pVq0auXPnljfZpO9duXKF5ORkLC0tVQ6PaRrjxo3jxYsXrFq1SmVODenrwG3atKFOnTq8ePGCmTNncv78eZYvXy5/X0ofqa781fNtbGxMlSpV2LRpEy1atCAmJoaJEycyePBglbWT1atXs2nTJurXr68R4/DMNEtjb6lNnj17NitWrEBHR4chQ4ZQrFgxUlJS5Gd5+/btJCcn4+joiKOjo1zv1Rlt1a3cnl25coUPHz6QJ08eDA0Nefv2LQqFQqUP0tfXp2nTpvj7+zNu3DiCg4PR09Nj+vTp8nOvbmYeZb42NilZsiQNGzakf//+hIaGcvLkSXx8fBg/fjxVqlRR+Q0WLlzIgwcP6Nevn0pKe3VFub9NSEjA3t6eW7duERYWptJuN2nShC5durBhwwZevnxJSEgIOXLkICEhgStXrjBv3jxevHiBp6enfOBPE1KFSmU8ceIEBw8epFWrVowePRpjY+OvGqf19fWxt7enXbt2REdH8/TpUypWrEju3LlV2nd1Q7kdW7RoEZcvX2bSpEnY2NgAMH78eFJSUti9ezfjxo3Dz8+PWrVqqbQDx48fp3r16vJBVnW/vwKB4N9FmHu0iNjYWDp16iTn5JS4dOkSkydPpkyZMvJrNjY23Llzh7lz5xISEoKZmRmXLl0iX758zJkzR21Pn/Xo0YPOnTvTu3dvID2tzcKFCxk5ciR169alfPnyVKpUiSNHjjB48GC2b9+OlZUVEydOVFmQO3PmDIGBgZQrV052gqsb0oBGmzQro226ExISuHv3LsWLF6d48eLEx8fTsmVLPnz4QI0aNahXrx6VK1fmyZMnHDx4EH9/fy5fvpyp2cPd3Z27d+/i4+Oj1qdntVEzaK9uidTUVHkCP3jwYM6dO4eZmRlxcXFkz56d9+/fM3jwYFasWEHjxo0ZM2YMBQoUYNOmTezcuZOdO3cC6ZEPpBC1pUqVylpRmfDu3Tvy5s0rp+eRTIoeHh7MnDlT5bOHDx9m8uTJWFhYyJPdpUuXki1bNtauXYujoyOpqanyKR0vLy/atWv3wzV9L2lpafKk1MvLi8DAQJXTtMuXL6d+/fq4ublRqFAhADldjWSAWLFiBdbW1j++8H8ToVk7NIP26o6NjaV///4cO3YMCwsLXr16JW/wS2aXlJQUdu7ciUKh+EuziyYZe2bNmsXcuXP59OkTZmZmcnQ9ZYOPFEXvrzRLxh51jvqgjIWFBT169GD79u3UqFGD1NRUHBwcqFevHra2tnTs2JG2bduydOlSvLy8WLFiBYaGhnK/p2wG0BTNoJ26a9SoQevWrTly5AhWVlZER0czadIkKlWqhJ2dHV26dKF58+Zs3rwZd3d35s2bh4GBgaxZEzZJ/6pOly9fHmNjY5ycnDh8+DB37twhd+7cjBgxgurVq8vXOH78OH5+fly6dInAwECNMHB9mf7gzp07tG3bFm9vb5VDXZkZfEaPHk2FChUA1d9PEzaQvsTQ0JC6deuyf/9+AgICqFWrlrzu9aXBR1dXlx49epA9e/YMB9/UVbfyJqlyP/3ixQsqVKiAkZERgYGB3Lt3j2vXrtGlSxfmzZtH8eLF5f5YMj5UrlxZTs+lzvxVnS5XrhwmJibMmDGDS5cuER4eTrdu3VixYgVFihSRN1cvXbrEokWLMDExUev1ov+FdP9nzZpFWloaq1evVtkolups3rx5yZs3LytWrODGjRvs3r2bkJAQ1q5dS4kSJbJaxlf5q+e7YsWKGBgY4OXlxaVLl4iKiqJIkSJ07txZxdDh7+/P4sWLMTQ0JDAwkPz582ehov/N1zRLY29DQ0MVo8vy5cuJi4tj6NCh8vr/ihUrOHXqFP3799cIcwtor27luaWfnx8LFizg8+fP8vstWrRAR0cHPT09lbZP2eAzfvx4goKCiI6OltMgqyvfMjbJmzcvAwcO5O3btxw4cIAnT57g5uZG5cqVKViwIIsWLWLp0qUUKlQIJycntTdbK9/juXPnsnnzZt6+fUtSUhL6+voZ1kLt7e0xMzNj8+bNrFixgqCgIDmiS8mSJZk3bx79+vWTr61u843z589nGEtIY6gLFy6QkpLC8OHDMTY2Vnmmv0R6TzJlV6lS5b8t+L9AZu1YiRIlePDgAaVLl8bAwIAyZcowbdo0AHbv3o2Liws+Pj5yqtCNGzcyefJkatWqxbp16zJNTScQCH5udD5+/JgxGa3gpyMpKYk+ffpw6tQpunfvTvv27fnw4QOenp48e/aMxo0b4+HhQcWKFdHR0eHjx49s27aNdevWcfXqVYoUKUK5cuXw9fWldOnSWS0nU9asWcPo0aMxMTFh/fr1HDlyhPnz59O5c2fGjRsnpxCbMWMGs2bNQldXl1q1ahEQEKBi9ggLC8PX15eLFy8yZ84cevbsmVWS/ifaqBm0U3dSUhIjRoxg9+7d2NjYcOLECR49eoSbmxtDhw7FzMwMLy8v/P39MTc3JzY2ljFjxuDo6Iipqal8ndWrV+Pl5UWpUqUICgpS69Oz2qgZtFe3MvHx8bRv355bt25hY2ODg4MDcXFxPHr0iPnz53Ps2DFy584tL0YmJiYSHR3Njh07SEpKIjk5maZNm2JhYaGWZtTDhw/To0cPOcWWxKxZs5gxYwbly5ena9euKBQKFi9ezLt372jSpAkzZsygUqVKKhsmixcv5sqVK5w9e5Y6derQtm1bunTpAqjnBD4z/Pz88Pb2ply5cvTq1QsjIyN27dpFVFQUr1+/xtLSkmXLlsnpEgAmTZrEggUL0NPTY8WKFXTs2DELFXw/QrN2aAbt0h0bG0ubNm24ffs2vXr1YsaMGRkMOqmpqYSGhuLj48O5c+fklD3qHC47M5Tb16lTpzJ37lxq1qzJxIkTadq0KYBKZLafTbNyP7R9+3YcHByoVasWY8aM4dKlS3KqWzs7OypXroybmxtxcXEEBATw+++/Z5mGv4M26lbWrPx3cHAwo0ePpn379jg6Osoh/+Pi4hg4cCBlypRhxowZmJmZ4efnR6dOnbJQxffxLXVa2jy4desWffr04eHDh1SuXJmuXbtibGzMkydPWLVqFbGxsXh6ejJy5EhAM4wuSUlJDBo0iP379+Ps7IyDgwOmpqayZuXf59ixY3h7e3Pp0iV69OjBmDFj1DpduzLK9yKzv5OTk2nVqhX37t0jODiYxo0by1G3ID0iqr+/P9HR0UyfPp3hw4er9eaohHT//qqflu51REQENjY2REVFUaxYMcqVK0ft2rUJDw/nyJEjmJiYsG/fPn799dcsVvXXfG+d/v3334mKiqJ06dI0aNAAS0tLXr9+zdq1a4mMjMTb25vhw4dnpaRv5mttuPLm6JgxY1i9erXKnDqz7wNER0erdfSD732++/fvz/379+Vn29jYmPDwcM6dO0fx4sXZtGmT2o/RvkWz1K4lJiaydetW5s2bx927d/n111/p0qULt2/fJiQkhLx587J37161i3ScGdqqWxlpblmkSBHq16/P06dPOXfuHGlpaTg4OODu7g6QwQyRkpLC0aNHGT58OE5OTowaNSqrJHwzfzU2kYwMycnJ7Nmzh5UrVxIaGgpArly50NXV5d27dxQrVoxNmzZpzDgF/jzw16RJEwYMGECxYsW4ceMGW7ZsITQ0lNy5c7NixQqaNGlCbGwsL1++ZN26dbx7945Pnz7Rtm1bKlasKJuv1XFdcPr06cyePZvp06fLBmr4s6x9+vRh//79bNu2jWbNmmU6lk5LS0NHR4dHjx5hYWHxgxX8fb6lHVPm3r17uLu7s2fPHn799Vc8PT35448/WLx4MQkJCezdu1eOpCkQCLQLYe7REq5evUqPHj3o27cvEyZMkBcnIiIicHNzIzQ0lEaNGuHp6UmFChXQ1dUlMTGRxMREzp49y6+//krOnDnlMG/qiqenJwEBAbJTvXPnzri5uVG2bFmVgW3v3r05cOAAOXLkwNfXl7Jly2JqakpYWBgzZ87k2bNneHh4YGdnB6j3gpw2agbt061QKAgNDcXJyYl79+6ho6PDyJEjmTZtmqw1KiqKwYMHc/36dSwsLJg5c6ZKah4fHx+WLl2KoaEhe/bs4ZdffskqOd+ENmoG7dWtjDSZHTRoEDNmzMiQTmzo0KFs2bKFPHnyyKdWNIkzZ87Qtm1bAFatWkWnTp14+fIlXbt2pWjRori7u8sLijdv3sTZ2ZmzZ8/K/fSXBh+AmJgYTE1N5dfUcQIvIbXRCoWC+/fv0717d8qUKaOi+8OHD5w+fRo/Pz8iIiKwsrJi4cKFKuHg3dzcWLJkCX5+ftja2maVnG9CaNYOzaC9uhMTE7GxseHgwYO4uLgwZsyYDBHjpA3StLQ0zpw5g4eHB+fPn6dr166MHTtWIxel5s2bx5QpU2jTpg0TJkz4qobU1FTOnDmDp6cn58+fp0uXLjg7O2vMQvP/6lNGjRrF5s2bWbBgAd27d+fo0aMEBwezb98+ypUrx4cPH3jx4gVt27Zl1qxZap/aQ0IbdUttWGJiInp6enJkQYnBgwdz8OBBVq1aRcuWLQkNDWXr1q1s2bKF3Llz8+HDBxISEujatSuzZs1SMZ5rAv+rTkvjr6dPnzJixAguXLigEpWtVq1ajBgxQmOM1pKevXv3MnDgQJo2bcrKlSsxNTXNUPbMDD5Xr16lVatWTJkyRe3NHl879a1sxNTV1WXmzJl4enrSu3dvFi5cCKimAp8zZw7u7u74+voydOjQH6rhn/A9/fTr16+xs7PjypUrvH//HgAjIyNq167NzJkzVaJ+qzvfWqefPHnC0KFDuXTpEikpKfL7+fPnx9XVlUGDBgHqX6elZ1XZlKb87Cv/PXbsWIKCgsiTJw8rV66kUaNGKteStKrrGpky3/N8v3nzhtGjR3PlyhU51XmJEiVo1KgRTk5Oah2hSJlv0ZyYmEi2bNlISUnh4MGDrFy5kmPHjsnvlylThuDgYLVvv5XRNt3KJtunT5/SvXt3SpcuzaRJk6hQoQIvX77k0KFDjB07lrS0NFxcXBg/frzKdyWSk5N58eIFxYsXB9R7/ftbxibK/fezZ89Ys2YNR44c4fnz55QpU4YaNWpga2sr69UEQkJCsLGxoXr16ixYsCDDXNHW1patW7d+81qout7jc+fO0bp1a6ZNm8bo0aPl16X7O27cOJYvX46/vz9DhgzJ8H3pc3FxcTRs2JBx48bRq1evHynhH/Et7ZgU/Rjg4cOHzJgxg+3bt8vva6JxTSAQ/LsIc89PTkxMDBERESQlJdG/f3+uXLlCrly5SElJkfOMRkZG4uzszOnTpzMYfDQF5cFdgwYNiIyMJDU1FS8vL4YNGyYPZpQXZYYNG8bmzZvR1dVFT09PXsQsXLgwLi4u9O/fP8O11Qlt1AzaqVvSlJSURMWKFfn48SNpaWkMHjwYZ2dnlXDB165dw87Ojps3b1KyZEnKlClDvnz5iIiI4Nq1a1hYWLBhwwa1P4mkjZpBe3V/Sc+ePQkLC+Pw4cOUL19erpvK9bpHjx4cPnxY5bShuk5cM+Ps2bO0adMGgA0bNlCjRg1+/fVXNm/eTMuWLVEoFHKKssjISMaNG8epU6dUDD6gvpP1r6Fc3ocPH2JgYEClSpVUdEvhiJOSkjh16hQTJ07kyZMneHl5MWDAAJXF6jNnzqh9iHyhWTs0g/bqBjh06BC///47LVu2ZNWqVSqRDMLDwzl58iSXLl3C0tISKysrSpUqJRucQkND6d27N3PmzJG1awJ37tyhe/fu6OjosH79epUNw9evXxMZGcmJEyeoUKECv/32G4ULF5Yj+ISFhdGiRQuWLl2qMekAIN3McvPmTdzc3KhZs6ZsVnn48CHdunXDwMCAkydPYmhoyMuXLwkPD2fy5MlERkbK1zhx4gRVq1bNKgl/C23THRcXR8WKFSlUqBBjxoyhcePGcgTI69ev07t3b/Lnz8+JEycA+PjxI5GRkbi6unLv3j1iYmIwNjYmIiJCo57vb63T5cqVo1WrVmTLlo2bN29y48YN0tLSqFSpEoUKFZJTLarr3DIzpMgmW7ZsoUWLFt9U9iNHjjBhwgRevXrFuXPnZN3qztixY3n06BHDhg2jWrVqGaKb3r59mxYtWshRH6SNM+Xf5Nq1a1SrVu1HF/0f8b/66RMnTnD58mXq1q1Lt27dyJ07N7du3eLmzZskJydTqVIlLCws1P7AnzLfW6cNDQ05ffo0169f5/3791StWpVy5crJKT40pU7HxsZiaWlJvXr1WLx4MfB1g8/vv//Onj17NPbQjMT3Pt958uTh9evXREVFoaurS6VKlTA0NMTIyCgLVXwf3zP2tra2xsLCguTkZLZt28anT5/IlSsXjRo1omDBglmo4vvRJt3Kc8sHDx5gYmJC+fLl2b59O02aNFH57LZt2xg6dOj/NPhIaEJ79i1jky/Xwz59+kRqaiq5c+dWWT/UFHx9ffHx8WHhwoX07t0bQGVtEKBv377s27cv07VQTbivEq9fvyZ//vzExMSwf/9+lajm69evx87OjqJFi7Js2TJ+++03AJX1FPgzY0NAQAADBw7UGO3f2o7Vq1ePZs2aUaZMGZKTkwkMDOTWrVsULFgQW1tbjYpYJBAI/n00q4cTfBdpaWlUq1aNd+/e0apVKypWrCgvrkkDAoVCQdmyZQkICJA3DidOnIiXl5dGnZ6VTpOcOHGCiIgIihcvzuPHj5k6dSoFCxaU0xno6+vLg7slS5ZgZWXF9evX+eOPP9DX16dt27ZUqVKFGjVqAOo92NVGzaCduqUBup+fH/Hx8bRu3Zrbt2+zcuVK9PT0GDZsmDygq1atGitXrmTZsmWcPHmSQ4cOAVCuXDmGDBmCvb29Rpxa0EbNoL26lUlKSuL58+cYGBjIfZU0WVeu125ubly/fp3Xr19ja2vLwoULadGiRVYW/buwtLRk7969tG3blt69ezNkyBBq1aqlskijr68v99P+/v6Z9tOaZOyBP++lvb09a9eupU+fPlSqVEllsi5N1A0NDfntt9/o0KEDAQEBHDhwgAEDBmBoaCgvUknGB3Vvw0Fo/tk1g/bqhvSNzqSkJLp27SovTqWlpTF9+nS2bdvG06dPgfTTiBcvXsTDw4N69eoxevRojI2NcXBw0ChjD8DTp0958uRJhqhDu3btYvXq1Rw/flx+rUuXLkycOJF69erh5OTEx48fad68uUYZH96+fcuxY8d48eIFdnZ2WFpa4urqSsWKFSlatCi9evXC09OTqVOn4u3tTcGCBSlYsCD16tVjzpw5HDp0iC5dumiMwUVCG3W/efOG/Pnz8/TpUxwdHalZsyZTp06lRo0aVKhQgW7dujFv3jx8fHxwc3MjZ86c1KlThz179rB8+XIuXLjAhAkTNOr5hu+r0506dWLixIlUq1YtU5OHQqFQ+3ZbmQcPHqCrqytvbGc2vpQi21y/fp1q1arRokULDAwMsLCw0Bhjz40bNwgKCgLg0qVLlChRQq7PUmqWcuXKMWrUKPz8/Lh48aK8aaarqyv3z9I914T+WeJ7+ulLly4xY8YMKleurJLWXNP43jo9efJkWrRokemcUpPq9I0bN3jy5AmbNm0ie/bs+Pn5yRGvpcNu0pza39+fGzdu8PDhQ42cU0t87/Pt7u5OsWLFNKbtyozvHXtPnjwZCwsLjYpukRnapPvLuaWNjQ116tSR14yU+yAprfuwYcPw8/MDYPz48Sp1XxlNaM++ZWwi/QbS2CRHjhykpaUBZGpqUnciIiIAyJ07N/BnNDZ9fX35Pnp5eXHnzh2ioqKwtbVlyZIlcrpJTbivEvnz5yctLY1WrVpx8+ZN3r17J6e/7NSpEwcOHGD37t3Mnj0bJycn6tSpg46OjnxfV69eTVBQELVr16Zdu3Yapf172rGuXbsyadIkLCwscHZ2BjTvkKdAIPhvEJF7fnJOnDhB586dAShbtixbt26lWLFimeYXV44MUK1aNRYuXKhxod0+fvzIyZMnqVmzJsHBwfj5+WFoaMiyZcvo0KGD/Dnl0HYSXw52NaWj1EbNoJ26X758yR9//EHz5s3Zu3cvM2bM4P79+wwdOpShQ4eqOLYTEhJIS0vj9u3bKBQK2QSQLVu2rBPwN9BGzaC9uiG9zrZv357z58/j5uaGq6srkLGePnv2jBYtWmBqakpUVBQWFhaEhYVlSOGl7iin6DI3NyckJIRq1ar9z37a0tISb29vjdosVObkyZN06tQJSF90WbNmjRzJ6EsiIiJo3bo1ZmZmnDp1irx58/7Akv57CM3aoRm0U/eqVatwdHTE2dmZHj168PTpUzw8PLhy5QolS5Zk3LhxvH37lhUrVvDo0SOCg4Np164daWlpJCQkaFzbDekn7nr27MmQIUOYPHkyb9++Zc2aNQQGBgLp6YuyZcvGgQMHuH//PrNnz2bAgAGkpqby8uVLihQpAmjOOBTg1atX7N69mw0bNnDlyhVMTU1xdXWlXbt2FChQgJYtW/L27VtWr17Nb7/9Jo/Dk5OTef36taxZkzbEQTt1v3v3jsOHDxMcHMyZM2cwNDTE3t6erl27Urx4cRo0aCC3bxUqVJA1p6amkpiYqBV1OjAwUI4Aq6lI7U///v3ZvXu3yml/ZZTT89SrV48+ffpgb2+fBSX+5zx69IiQkBAOHjxIWFgYurq6lClThu7du9O7d2/y5ctHeHg4LVq0wNzcnIMHD2rculhmfG8/vW7duq+OXTSF763Tc+bMwcbGBtCsvjkzjh49yqBBg/j8+TO2trbyZr/yWphCoeDDhw+0aNECQ0ND7ty5o7Fzam18vv+pZk19xrVRt/LcMmfOnOzcuZOqVatmqkU5go+TkxOTJk3KghL/M/7u2OT3339n5MiRWVDifw87OzvWr1/P0KFD8fX1BTI+sx8+fKBdu3a8evWKd+/eoaurS3h4uDzf0DTOnz9P69atUSgUeHp6yvfw8OHD+Pv7c/HiRUqXLs2YMWOoUqUKxsbGLF++nA0bNmBoaMj+/fs1Kl0oaGefJRAI/n00Y2VJ8Ldp0qQJu3fvBiAyMpL9+/cD6W5nhUKh8rcUwadq1apERERgZmaWZeX+u+TMmZO2bdtStGhRxo8fz+jRo0lKSsLW1paQkBAgffAnmT2kMNrJyckZHN2aMtjXRs2gnboLFixI8+bN0dXVpX379ri6ulK6dGmWLl3K0qVLefjwofxZAwMDTExMqFGjBjVr1sTIyEjjTsSDdmoG7dUN6XoGDhxItmzZOHr0KOfOnQP+7KukUzhFihQhZ86cjBo1CgcHB4KDgzVuERKgXr16cpsVHR3N6dOnga/30/7+/vz222+cPXuWx48fZ1m5/ymNGzeWxyepqalcuXIlw2eke128eHFy584tnxjXVIRm7dAM2qm7RYsWlCxZkoCAAJo3b06XLl14/vw5dnZ2HDlyhN69e8vGAEg/iQnppws1se0GqF69Or/++ivLly/H2tqaFi1aMHfuXJo0acK2bdsICAjA09NTPoEYFhYmR2/SRGMPQIECBRg4cCDbtm1j2LBhAEybNo2+ffuyf/9+fH19+fTpE7t27QKQzR4GBgYqmjXtWddG3Xny5KFXr17s2LEDR0dH8ubNy+zZs+nWrRtbt25lwoQJ3L9/nx07dgDpmqUw+dpSp6UxmzRe00Sk9qdHjx4YGhpy7NgxLl26JL8vjb2lZ3fatGncvn1b5WS8plGiRAlGjRrFnj178Pf3p0OHDty5cwcPDw+6d++Om5sbFhYWdO7cmejoaI4ePZrVRf5X+N5+OioqKotL/M/53jodGhoKaF7fnBnNmzdnxYoVmJubs2zZMsaNGwcgR/FIS0tDR0eHHDlyYGRkhKOjo0bPqbXx+f6nmjX1GddG3cpzy48fP3Lq1ClAdc1IomvXrixbtgyAmTNnqvTpmsLfHZuYmZlp7NhEokuXLhgbG3PixIkMa4PSvc6VKxelSpWic+fO9OjRgwkTJmissQegbt268lhr4sSJzJ8/H0iv605OTlhbWxMVFYW9vT2NGzemTp06LF26lBIlSrB3716NM/aAdvZZAoHg30ek5dICGjRowJ49e2jXrh2urq4UKFCAjh07yoMDHR0d+e8yZcqwfPlysmXLRrFixbK66H8LfX19eZA3bdo0dHR0mDNnDra2tgByVJdr167h5ubG69evCQkJoWjRollZ7H+ENmoG7dQtnUrQ0dGRB3l+fn4sXboUQI7qkln4UU2cxIJ2agbt1Q3pi5F16tTh9OnTLFmyBF1dXTkEq6Rt/vz5REVFUblyZQYMGJC1Bf6HNGzYUO6np0yZQrFixejUqVOm/XTZsmWZNWsW9+7do3379lld9H9EgwYN2L17N+3bt2fmzJmUKlWKPn36yO9L9/r8+fM8efIEa2trTE1Ns6q4/wpCs3ZoBu3TXaxYMbZs2cKsWbMIDw+nVq1a9OvXjwoVKmBsbCx/7u7du+TIkYNGjRplYWn/HfLly0dwcDATJkwgIiKCQoUKyenGLCwsVE6TAlhbW2fonzWxv9bT0yNnzpz4+PjQtGlT9u7dS3BwMEOGDKF+/fpkz56dxYsX89tvv9GxY0eNNdV/iTbqVigUGBoaMnnyZJo2bcqBAwdYsGABY8aMoXz58ujr6zNnzhxq1qyJtbW1RpmXMuPv1GnQzHv7JfXr16devXqcOHGCpUuXoqurS40aNVTG3qtXr2bdunXUqVOHVq1aafz9BhgyZAj9+/dnwIABrFixgitXrrBy5Ur27t1L4cKFgXTdtra2GhsVVUL009pVpyF983DlypUMGjSI5cuXA+Dv76/SP82cOZOoqCiqVKlCjx49sqqo/xhtfL61UTNor27lvZ2vrRlJdOnShYSEBKKjo6lVq1YWlvqfoY1jk5o1a9KoUSMOHjzIihUrMDY2platWujo6MimzJMnT3L48GECAgLo16+f/F1NihD6JdWrV+fYsWM0a9aMyZMnAzBq1ChatWpFnTp12LFjBydOnODNmzcUK1aMevXqYW1tTcGCBbO45H8PbW3HBALBv4tIy6VFKKf+WLVqlRzSMbPUHz8DyoMad3d35syZg6GhIb6+vujr67Nx40bCwsKYMGGCfIpF09FGzaCdupXr6rZt2/Dz8yMqKirTtE0/C9qoGbRX9927d+nZsycPHjygfv36tGrVil69eqGrq0twcDBLliwhX758bN26lfz582d1cf8V/k4/rckTeImwsDDatWsHpC84t2nTRt5QOXfuHO7u7pw7d47ly5fLRjdNR2jWDs2gnbrj4+NVFqUkVq5cydSpU7G0tGTp0qXkzJnzxxfuP0BaPDc3N8fIyEjlvXPnzuHg4EB8fDzr16+ncuXKWVTKfxflvictLY1Dhw4xffp0Hj16RFxcHJC+IL969Wry5MmTlUX9V9FG3V+OO06cOIGvry+3b9/m48ePAPTp04dZs2ZpvPlBQhvrNKSPvXv16sX9+/epX78+VlZWtGnThoSEBIKDg9m4cSMGBgYamf4gM758tj9//syHDx+YNWsWFy9e5NatW0B6RIDRo0dnVTH/E0Q//Sc/c52WOHLkCIMGDSI6Oppu3boxbtw4cuTIwaZNm5g/fz7FihVj8+bNP02/pW3PN2inZtBO3d+yZvQlmrxmpG1jE4B79+7Rs2dP7t+/T4sWLWjfvr2cBjY0NBQ/Pz9u3LjB6tWradiwIfDz7OddvXqVZs2aATBjxgxGjRolv6cc2fxnQhvbMYFA8O8gzD1axt8ZBGoyygNYDw8P5syZQ2pqKpAeFcPDw4MRI0YAP89voI2aQTt1Z2b6ePz4MT169MDJyYnixYtncQn/fbRRM2iv7sjISBwcHLh69SpJSUkULVqU5ORkXr16RYECBdi5cyflypXL6mL+q2hbPy2hrNvS0pL8+fNjamrK4cOHiYmJYcqUKXLI/J/ltxCatUMzaJ9uSYOyloULFzJ37lz09fUJCQmhVKlSWVzK/wbl8ejp06fx8/MjNDSUBQsWqERu+hm5e/cuhw4dYuXKldy/f5+ZM2cyaNCgrC7Wf4426n748CGhoaEEBATw6NEjLly48NNsqHyJttXpyMhIxowZw8WLF0lJScHc3JyYmBgUCgWVKlVi+fLl/Prrr1ldzP8UhUJBVFQUu3fvxtTUlKFDh8qva3r/LCH6ae2p0xInTpxgwIABfPr0iTx58qCrq8ubN2/Inz8/ISEhP1W91sbnWxs1g/bq1rY1I20cm9y5c4dhw4Zx48YNUlNTqVq1Kvr6+ly/fp2UlBS8vb3l9YOfDWWDj6enJyNHjgTS053r6OioRLn/GdDWdkwgEPxzhLlHC1EeBAYFBdGxY8csLtF/i/LkfcuWLVy5coWUlBRatGhBq1atMnzmZ0AbNYN26lYe/G3fvp3x48eTkpLC2bNnf5poJl+ijZpBe3W/evWKPXv2sGTJEuLi4siRIwdVq1Zl3LhxlCxZMquL95+gbf20hHKEkzx58tC5c2eMjIyoX7++HCb/Z2vDhWbt0Azaqfvz58+8fPkSLy8v9u/fT5EiRVi/fv1PZ8r8ktjYWDZu3Mjs2bN5/fo17u7uP53B/Gukpqby4cMHzp49K6eO/Nk1g/bqjo2N5f379xqbzvtb0bY6/fbtW44cOcLq1avR0dEhb968NGrUiHbt2mls+oNv5Wv98M/WP0uIflo76rREZGQk06dP586dOygUCipWrMjUqVN/2k1DbXy+tVEzaKdubVsz0saxybNnz1i7di3Lli0jJiZGNvkMHjyY3r17Az/v+ETZ4OPj48OwYcOyuET/PdrYjgkEgn+GMPf8P2/evOHy5ctcvnyZq1evcuXKFd6/fw9A7969WbRoURaX8N9FeRC4du1a+e+flS8HO1+GVP8ZB0LaqBm0U7fyAtSuXbuoUqXKT2t6kNBGzaC9ugHi4uJISUnByMgIXV1d9PX1s7pI/ynK/fSSJUvo0aNHFpfox3D69Gk6dOgApOdPl/6Gn7cNF5q1QzNon+5nz57RqVMnnjx5grW1NdOmTft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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 500x300 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate the missing value matrix\n",
    "msno.matrix(weather_df)\n",
    "\n",
    "# Set the figure size to be smaller\n",
    "plt.figure(figsize=(5, 3))\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5669b67-4482-4b39-ab74-ad880d3e4ef2",
   "metadata": {},
   "source": [
    "### Data Preprocessing Steps\r\n",
    "\r\n",
    "1. **Remove Missing Values:** Eliminate columns with missing data.\r\n",
    "2. **Date Range Filtering:** Keep records between `2006-12-16` and `2010-11-26` (energy consumption interval).\r\n",
    "3. **Encode 'Conditions':** Clean and apply One-Hot Encoding to the 'conditions' column, then drop it (OneHot encoding because the column isn't ordinal).\r\n",
    "4. **Calculate Day Length:** Use 'Sunrise' and 'Sunset' to create a 'Day Length' feature, and remove the original columns (Daylight can impact energy consumption)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8497057a-ca3a-438a-b056-304f0f94f54f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_string(s):\n",
    "    \"\"\"\n",
    "    Cleans a string: replaces spaces with underscores, removes special characters, and converts to lowercase.\n",
    "    \"\"\"\n",
    "    return re.sub(r\"[^a-zA-Z0-9\\s]\", \"\", s.replace(\" \", \"_\")).lower()\n",
    "\n",
    "\n",
    "def calculate_day_length(df, sunrise_col=\"sunrise\", sunset_col=\"sunset\"):\n",
    "    \"\"\"\n",
    "    Adds 'day_length' to df calculated from 'sunrise' and 'sunset', and drops these columns.\n",
    "    \"\"\"\n",
    "    df[sunrise_col] = pd.to_datetime(df[sunrise_col], format=\"%H:%M:%S\").dt.time\n",
    "    df[sunset_col] = pd.to_datetime(df[sunset_col], format=\"%H:%M:%S\").dt.time\n",
    "    df[\"day_length\"] = (\n",
    "        (\n",
    "            pd.to_datetime(df[sunset_col].astype(str))\n",
    "            - pd.to_datetime(df[sunrise_col].astype(str))\n",
    "        ).dt.total_seconds()\n",
    "    ) / 3600.0\n",
    "    return df.drop([sunrise_col, sunset_col], axis=1)\n",
    "\n",
    "\n",
    "def preprocess_weather_data(\n",
    "    df, start_date, end_date, columns_to_keep, column_to_encode\n",
    "):\n",
    "    \"\"\"\n",
    "    Preprocesses weather data: sorts by index, filters by date, selects columns, encodes a column, and calculates day length.\n",
    "    \"\"\"\n",
    "    # Ensure the DataFrame is sorted by its index\n",
    "    df.sort_index(inplace=True)\n",
    "\n",
    "    # Select specified columns\n",
    "    df_selected = df[columns_to_keep].copy()\n",
    "\n",
    "    # Filter by date range\n",
    "    df_filtered = df_selected[\n",
    "        (df_selected.index >= start_date) & (df_selected.index <= end_date)\n",
    "    ].copy()\n",
    "\n",
    "    # Clean and encode specified column\n",
    "    df_filtered[column_to_encode] = df_filtered[column_to_encode].apply(clean_string)\n",
    "    dummies = pd.get_dummies(df_filtered[column_to_encode], prefix=column_to_encode)\n",
    "    df_encoded = pd.concat([df_filtered, dummies], axis=1).drop(\n",
    "        column_to_encode, axis=1\n",
    "    )\n",
    "\n",
    "    # Calculate day length and drop original sunrise and sunset columns\n",
    "    return calculate_day_length(df_encoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "773b586f-7732-4c60-b6bb-265539df7f38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>moonphase</th>\n",
       "      <th>conditions_clear</th>\n",
       "      <th>conditions_overcast</th>\n",
       "      <th>conditions_partiallycloudy</th>\n",
       "      <th>conditions_rain</th>\n",
       "      <th>conditions_rainovercast</th>\n",
       "      <th>conditions_rainpartiallycloudy</th>\n",
       "      <th>conditions_snowovercast</th>\n",
       "      <th>conditions_snowpartiallycloudy</th>\n",
       "      <th>conditions_snowrain</th>\n",
       "      <th>conditions_snowrainovercast</th>\n",
       "      <th>conditions_snowrainpartiallycloudy</th>\n",
       "      <th>day_length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>89.8</td>\n",
       "      <td>1.853</td>\n",
       "      <td>100</td>\n",
       "      <td>29.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>235.4</td>\n",
       "      <td>1023.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.278889</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tempmax  tempmin  temp  feelslikemax  feelslikemin  feelslike  \\\n",
       "datetime                                                                    \n",
       "2006-12-16      8.2      3.4   5.7           5.7           0.6        2.9   \n",
       "\n",
       "            dew  humidity  precip  precipprob  precipcover  snow  snowdepth  \\\n",
       "datetime                                                                      \n",
       "2006-12-16  4.1      89.8   1.853         100        29.17   0.0        0.0   \n",
       "\n",
       "            windgust  windspeed  winddir  sealevelpressure  cloudcover  \\\n",
       "datetime                                                                 \n",
       "2006-12-16      39.8       19.1    235.4            1023.2        68.6   \n",
       "\n",
       "            visibility  moonphase  conditions_clear  conditions_overcast  \\\n",
       "datetime                                                                   \n",
       "2006-12-16        10.2       0.87             False                False   \n",
       "\n",
       "            conditions_partiallycloudy  conditions_rain  \\\n",
       "datetime                                                  \n",
       "2006-12-16                       False            False   \n",
       "\n",
       "            conditions_rainovercast  conditions_rainpartiallycloudy  \\\n",
       "datetime                                                              \n",
       "2006-12-16                    False                            True   \n",
       "\n",
       "            conditions_snowovercast  conditions_snowpartiallycloudy  \\\n",
       "datetime                                                              \n",
       "2006-12-16                    False                           False   \n",
       "\n",
       "            conditions_snowrain  conditions_snowrainovercast  \\\n",
       "datetime                                                       \n",
       "2006-12-16                False                        False   \n",
       "\n",
       "            conditions_snowrainpartiallycloudy  day_length  \n",
       "datetime                                                    \n",
       "2006-12-16                               False    8.278889  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Columns to keep\n",
    "columns_to_keep = [\n",
    "    \"tempmax\",\n",
    "    \"tempmin\",\n",
    "    \"temp\",\n",
    "    \"feelslikemax\",\n",
    "    \"feelslikemin\",\n",
    "    \"feelslike\",\n",
    "    \"dew\",\n",
    "    \"humidity\",\n",
    "    \"precip\",\n",
    "    \"precipprob\",\n",
    "    \"precipcover\",\n",
    "    \"snow\",\n",
    "    \"snowdepth\",\n",
    "    \"windgust\",\n",
    "    \"windspeed\",\n",
    "    \"winddir\",\n",
    "    \"sealevelpressure\",\n",
    "    \"cloudcover\",\n",
    "    \"visibility\",\n",
    "    \"sunrise\",\n",
    "    \"sunset\",\n",
    "    \"moonphase\",\n",
    "    \"conditions\",\n",
    "]\n",
    "\n",
    "# Start and End Weather Data Interval\n",
    "start_date = \"2006-12-16\"\n",
    "end_date = \"2010-11-26\"\n",
    "\n",
    "# Columns to Encode using the One Hot Encoding\n",
    "column_to_encode = \"conditions\"\n",
    "\n",
    "# Proecess the Weather Dataframe\n",
    "processed_weather_df = preprocess_weather_data(\n",
    "    df=weather_df,\n",
    "    start_date=start_date,\n",
    "    end_date=end_date,\n",
    "    columns_to_keep=columns_to_keep,\n",
    "    column_to_encode=column_to_encode,\n",
    ")\n",
    "\n",
    "processed_weather_df.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "272f3a83-44a6-4f1c-8332-23091b76f55b",
   "metadata": {},
   "source": [
    "### Join the Dataframes by index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3bad14b5-a2af-4677-957a-f8c294ec9606",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>moonphase</th>\n",
       "      <th>conditions_clear</th>\n",
       "      <th>conditions_overcast</th>\n",
       "      <th>conditions_partiallycloudy</th>\n",
       "      <th>conditions_rain</th>\n",
       "      <th>conditions_rainovercast</th>\n",
       "      <th>conditions_rainpartiallycloudy</th>\n",
       "      <th>conditions_snowovercast</th>\n",
       "      <th>conditions_snowpartiallycloudy</th>\n",
       "      <th>conditions_snowrain</th>\n",
       "      <th>conditions_snowrainovercast</th>\n",
       "      <th>conditions_snowrainpartiallycloudy</th>\n",
       "      <th>day_length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>89.8</td>\n",
       "      <td>1.853</td>\n",
       "      <td>100</td>\n",
       "      <td>29.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>235.4</td>\n",
       "      <td>1023.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.278889</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tempmax  tempmin  temp  feelslikemax  feelslikemin  feelslike  \\\n",
       "datetime                                                                    \n",
       "2006-12-16      8.2      3.4   5.7           5.7           0.6        2.9   \n",
       "\n",
       "            dew  humidity  precip  precipprob  precipcover  snow  snowdepth  \\\n",
       "datetime                                                                      \n",
       "2006-12-16  4.1      89.8   1.853         100        29.17   0.0        0.0   \n",
       "\n",
       "            windgust  windspeed  winddir  sealevelpressure  cloudcover  \\\n",
       "datetime                                                                 \n",
       "2006-12-16      39.8       19.1    235.4            1023.2        68.6   \n",
       "\n",
       "            visibility  moonphase  conditions_clear  conditions_overcast  \\\n",
       "datetime                                                                   \n",
       "2006-12-16        10.2       0.87             False                False   \n",
       "\n",
       "            conditions_partiallycloudy  conditions_rain  \\\n",
       "datetime                                                  \n",
       "2006-12-16                       False            False   \n",
       "\n",
       "            conditions_rainovercast  conditions_rainpartiallycloudy  \\\n",
       "datetime                                                              \n",
       "2006-12-16                    False                            True   \n",
       "\n",
       "            conditions_snowovercast  conditions_snowpartiallycloudy  \\\n",
       "datetime                                                              \n",
       "2006-12-16                    False                           False   \n",
       "\n",
       "            conditions_snowrain  conditions_snowrainovercast  \\\n",
       "datetime                                                       \n",
       "2006-12-16                False                        False   \n",
       "\n",
       "            conditions_snowrainpartiallycloudy  day_length  \n",
       "datetime                                                    \n",
       "2006-12-16                               False    8.278889  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processed_weather_df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d94855d1-9a39-42a3-ae8a-b3adc9ca62f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>1209.176</td>\n",
       "      <td>34.922</td>\n",
       "      <td>93552.53</td>\n",
       "      <td>5180.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4926.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power   Voltage  \\\n",
       "2006-12-16           1209.176                 34.922  93552.53   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \n",
       "2006-12-16            5180.8             0.0           546.0          4926.0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consumptions_df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ea09f222-1229-429c-8c62-71d919f9c4b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "      <th>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>moonphase</th>\n",
       "      <th>conditions_clear</th>\n",
       "      <th>conditions_overcast</th>\n",
       "      <th>conditions_partiallycloudy</th>\n",
       "      <th>conditions_rain</th>\n",
       "      <th>conditions_rainovercast</th>\n",
       "      <th>conditions_rainpartiallycloudy</th>\n",
       "      <th>conditions_snowovercast</th>\n",
       "      <th>conditions_snowpartiallycloudy</th>\n",
       "      <th>conditions_snowrain</th>\n",
       "      <th>conditions_snowrainovercast</th>\n",
       "      <th>conditions_snowrainpartiallycloudy</th>\n",
       "      <th>day_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>1209.176</td>\n",
       "      <td>34.922</td>\n",
       "      <td>93552.53</td>\n",
       "      <td>5180.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4926.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>89.8</td>\n",
       "      <td>1.853</td>\n",
       "      <td>100</td>\n",
       "      <td>29.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>235.4</td>\n",
       "      <td>1023.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.278889</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power   Voltage  \\\n",
       "2006-12-16           1209.176                 34.922  93552.53   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \\\n",
       "2006-12-16            5180.8             0.0           546.0          4926.0   \n",
       "\n",
       "            tempmax  tempmin  temp  feelslikemax  feelslikemin  feelslike  \\\n",
       "2006-12-16      8.2      3.4   5.7           5.7           0.6        2.9   \n",
       "\n",
       "            dew  humidity  precip  precipprob  precipcover  snow  snowdepth  \\\n",
       "2006-12-16  4.1      89.8   1.853         100        29.17   0.0        0.0   \n",
       "\n",
       "            windgust  windspeed  winddir  sealevelpressure  cloudcover  \\\n",
       "2006-12-16      39.8       19.1    235.4            1023.2        68.6   \n",
       "\n",
       "            visibility  moonphase  conditions_clear  conditions_overcast  \\\n",
       "2006-12-16        10.2       0.87             False                False   \n",
       "\n",
       "            conditions_partiallycloudy  conditions_rain  \\\n",
       "2006-12-16                       False            False   \n",
       "\n",
       "            conditions_rainovercast  conditions_rainpartiallycloudy  \\\n",
       "2006-12-16                    False                            True   \n",
       "\n",
       "            conditions_snowovercast  conditions_snowpartiallycloudy  \\\n",
       "2006-12-16                    False                           False   \n",
       "\n",
       "            conditions_snowrain  conditions_snowrainovercast  \\\n",
       "2006-12-16                False                        False   \n",
       "\n",
       "            conditions_snowrainpartiallycloudy  day_length  \n",
       "2006-12-16                               False    8.278889  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_and_consumption_df = pd.merge(\n",
    "    consumptions_df, processed_weather_df, left_index=True, right_index=True\n",
    ")\n",
    "weather_and_consumption_df.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4905f93a-c3fd-4a5f-87ab-6219e9253cbe",
   "metadata": {},
   "source": [
    "### Add the French Holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d1570fcf-4f18-4d65-9c9d-f97e533a3351",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "      <th>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
       "      <th>visibility</th>\n",
       "      <th>moonphase</th>\n",
       "      <th>conditions_clear</th>\n",
       "      <th>conditions_overcast</th>\n",
       "      <th>conditions_partiallycloudy</th>\n",
       "      <th>conditions_rain</th>\n",
       "      <th>conditions_rainovercast</th>\n",
       "      <th>conditions_rainpartiallycloudy</th>\n",
       "      <th>conditions_snowovercast</th>\n",
       "      <th>conditions_snowpartiallycloudy</th>\n",
       "      <th>conditions_snowrain</th>\n",
       "      <th>conditions_snowrainovercast</th>\n",
       "      <th>conditions_snowrainpartiallycloudy</th>\n",
       "      <th>day_length</th>\n",
       "      <th>is_holiday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>1209.176</td>\n",
       "      <td>34.922</td>\n",
       "      <td>93552.53</td>\n",
       "      <td>5180.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4926.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>89.8</td>\n",
       "      <td>1.853</td>\n",
       "      <td>100</td>\n",
       "      <td>29.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>235.4</td>\n",
       "      <td>1023.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.278889</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006-12-17</th>\n",
       "      <td>3390.460</td>\n",
       "      <td>226.006</td>\n",
       "      <td>345725.32</td>\n",
       "      <td>14398.6</td>\n",
       "      <td>2033.0</td>\n",
       "      <td>4187.0</td>\n",
       "      <td>13341.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.9</td>\n",
       "      <td>-1.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>92.4</td>\n",
       "      <td>0.314</td>\n",
       "      <td>100</td>\n",
       "      <td>8.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.2</td>\n",
       "      <td>9.2</td>\n",
       "      <td>227.6</td>\n",
       "      <td>1028.5</td>\n",
       "      <td>59.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>0.90</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.270833</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power    Voltage  \\\n",
       "2006-12-16           1209.176                 34.922   93552.53   \n",
       "2006-12-17           3390.460                226.006  345725.32   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \\\n",
       "2006-12-16            5180.8             0.0           546.0          4926.0   \n",
       "2006-12-17           14398.6          2033.0          4187.0         13341.0   \n",
       "\n",
       "            tempmax  tempmin  temp  feelslikemax  feelslikemin  feelslike  \\\n",
       "2006-12-16      8.2      3.4   5.7           5.7           0.6        2.9   \n",
       "2006-12-17      7.2      0.6   3.4           5.9          -1.4        2.4   \n",
       "\n",
       "            dew  humidity  precip  precipprob  precipcover  snow  snowdepth  \\\n",
       "2006-12-16  4.1      89.8   1.853         100        29.17   0.0        0.0   \n",
       "2006-12-17  2.3      92.4   0.314         100         8.33   0.0        0.0   \n",
       "\n",
       "            windgust  windspeed  winddir  sealevelpressure  cloudcover  \\\n",
       "2006-12-16      39.8       19.1    235.4            1023.2        68.6   \n",
       "2006-12-17      17.2        9.2    227.6            1028.5        59.8   \n",
       "\n",
       "            visibility  moonphase  conditions_clear  conditions_overcast  \\\n",
       "2006-12-16        10.2       0.87             False                False   \n",
       "2006-12-17         7.2       0.90             False                False   \n",
       "\n",
       "            conditions_partiallycloudy  conditions_rain  \\\n",
       "2006-12-16                       False            False   \n",
       "2006-12-17                       False            False   \n",
       "\n",
       "            conditions_rainovercast  conditions_rainpartiallycloudy  \\\n",
       "2006-12-16                    False                            True   \n",
       "2006-12-17                    False                            True   \n",
       "\n",
       "            conditions_snowovercast  conditions_snowpartiallycloudy  \\\n",
       "2006-12-16                    False                           False   \n",
       "2006-12-17                    False                           False   \n",
       "\n",
       "            conditions_snowrain  conditions_snowrainovercast  \\\n",
       "2006-12-16                False                        False   \n",
       "2006-12-17                False                        False   \n",
       "\n",
       "            conditions_snowrainpartiallycloudy  day_length  is_holiday  \n",
       "2006-12-16                               False    8.278889       False  \n",
       "2006-12-17                               False    8.270833       False  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert the list of dates to a set for faster lookup\n",
    "french_holidays_set = set(french_holidays_df.date)\n",
    "\n",
    "# Add a new column 'is_holiday' to the DataFrame\n",
    "weather_and_consumption_df[\"is_holiday\"] = weather_and_consumption_df.index.isin(\n",
    "    french_holidays_set\n",
    ")\n",
    "weather_and_consumption_df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15126eb8-bf17-4dff-9d81-fa08baca032f",
   "metadata": {},
   "source": [
    "Let's check if May 1st, 2007 is labeled as a holiday or not 🤞"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "77adedca-7a4a-42b5-ad96-dcc8bfc7a26f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2007-05-01    True\n",
       "Freq: D, Name: is_holiday, dtype: bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_and_consumption_df[weather_and_consumption_df.index == \"2007-05-01\"].is_holiday"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8d2d58c-6dea-4e15-9905-7c6620d7de9c",
   "metadata": {},
   "source": [
    "### Analyzing the Linear Correlation between the Target and the Features ( After **Feature Engineering** )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "48918e5b-867c-4068-a35f-14fe4286b9dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most correlated features with 'total_consumption':\n",
      " Global_intensity\n",
      " Sub_metering_3\n",
      " Sub_metering_1\n",
      " temp\n",
      " day_length\n",
      " tempmax\n",
      " feelslike\n",
      " feelslikemax\n",
      " feelslikemin\n",
      " tempmin\n"
     ]
    }
   ],
   "source": [
    "# Generate the correlation matrix\n",
    "correlation_matrix = weather_and_consumption_df.corr()\n",
    "\n",
    "# Define the threshold for high correlation\n",
    "threshold = 0.5\n",
    "\n",
    "# Identify features highly correlated with 'total_consumption'\n",
    "highly_correlated_features = (\n",
    "    correlation_matrix[\"total_consumption\"].drop(\"total_consumption\").abs()\n",
    ")\n",
    "highly_correlated_features = highly_correlated_features[\n",
    "    highly_correlated_features > threshold\n",
    "].sort_values(ascending=False)\n",
    "\n",
    "# Print the most correlated features\n",
    "print(\"Most correlated features with 'total_consumption':\")\n",
    "for feature in highly_correlated_features.index:\n",
    "    print(\" \" + feature)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98d0ae51-32fb-434c-a1be-afcc95ee9845",
   "metadata": {},
   "source": [
    "As we can see, new features with a high correlation score have been introduced, indicating their potential usefulness in improving the performance of our machine learning model during development."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a079bc6c-479b-4ebe-a9a4-0df8d1c9a799",
   "metadata": {},
   "source": [
    "## <a><span style=\"color:green\">Save the `Data`</span></a>\n",
    "Now that the data is prepared, I will save it for another notebook to train the machine learning model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "013f9b4b-9f00-4a3f-a64a-18e0cc3e36a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_consumption</th>\n",
       "      <th>Global_reactive_power</th>\n",
       "      <th>Voltage</th>\n",
       "      <th>Global_intensity</th>\n",
       "      <th>Sub_metering_1</th>\n",
       "      <th>Sub_metering_2</th>\n",
       "      <th>Sub_metering_3</th>\n",
       "      <th>tempmax</th>\n",
       "      <th>tempmin</th>\n",
       "      <th>temp</th>\n",
       "      <th>feelslikemax</th>\n",
       "      <th>feelslikemin</th>\n",
       "      <th>feelslike</th>\n",
       "      <th>dew</th>\n",
       "      <th>humidity</th>\n",
       "      <th>precip</th>\n",
       "      <th>precipprob</th>\n",
       "      <th>precipcover</th>\n",
       "      <th>snow</th>\n",
       "      <th>snowdepth</th>\n",
       "      <th>windgust</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>winddir</th>\n",
       "      <th>sealevelpressure</th>\n",
       "      <th>cloudcover</th>\n",
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       "      <th>conditions_overcast</th>\n",
       "      <th>conditions_partiallycloudy</th>\n",
       "      <th>conditions_rain</th>\n",
       "      <th>conditions_rainovercast</th>\n",
       "      <th>conditions_rainpartiallycloudy</th>\n",
       "      <th>conditions_snowovercast</th>\n",
       "      <th>conditions_snowpartiallycloudy</th>\n",
       "      <th>conditions_snowrain</th>\n",
       "      <th>conditions_snowrainovercast</th>\n",
       "      <th>conditions_snowrainpartiallycloudy</th>\n",
       "      <th>day_length</th>\n",
       "      <th>is_holiday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2006-12-16</th>\n",
       "      <td>1209.176</td>\n",
       "      <td>34.922</td>\n",
       "      <td>93552.53</td>\n",
       "      <td>5180.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>546.0</td>\n",
       "      <td>4926.0</td>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>89.8</td>\n",
       "      <td>1.853</td>\n",
       "      <td>100</td>\n",
       "      <td>29.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>235.4</td>\n",
       "      <td>1023.2</td>\n",
       "      <td>68.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.87</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8.278889</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_consumption  Global_reactive_power   Voltage  \\\n",
       "2006-12-16           1209.176                 34.922  93552.53   \n",
       "\n",
       "            Global_intensity  Sub_metering_1  Sub_metering_2  Sub_metering_3  \\\n",
       "2006-12-16            5180.8             0.0           546.0          4926.0   \n",
       "\n",
       "            tempmax  tempmin  temp  feelslikemax  feelslikemin  feelslike  \\\n",
       "2006-12-16      8.2      3.4   5.7           5.7           0.6        2.9   \n",
       "\n",
       "            dew  humidity  precip  precipprob  precipcover  snow  snowdepth  \\\n",
       "2006-12-16  4.1      89.8   1.853         100        29.17   0.0        0.0   \n",
       "\n",
       "            windgust  windspeed  winddir  sealevelpressure  cloudcover  \\\n",
       "2006-12-16      39.8       19.1    235.4            1023.2        68.6   \n",
       "\n",
       "            visibility  moonphase  conditions_clear  conditions_overcast  \\\n",
       "2006-12-16        10.2       0.87             False                False   \n",
       "\n",
       "            conditions_partiallycloudy  conditions_rain  \\\n",
       "2006-12-16                       False            False   \n",
       "\n",
       "            conditions_rainovercast  conditions_rainpartiallycloudy  \\\n",
       "2006-12-16                    False                            True   \n",
       "\n",
       "            conditions_snowovercast  conditions_snowpartiallycloudy  \\\n",
       "2006-12-16                    False                           False   \n",
       "\n",
       "            conditions_snowrain  conditions_snowrainovercast  \\\n",
       "2006-12-16                False                        False   \n",
       "\n",
       "            conditions_snowrainpartiallycloudy  day_length  is_holiday  \n",
       "2006-12-16                               False    8.278889       False  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_and_consumption_df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4e321561-3780-4c27-9e1b-730433affa24",
   "metadata": {},
   "outputs": [],
   "source": [
    "weather_and_consumption_df.to_csv(\n",
    "    \"../data/02_processed/processed_weather_and_consumption_data.csv\", index=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c328d17c-cb36-460a-8106-723f4b676012",
   "metadata": {},
   "source": [
    "## Connect with me 🌐\n",
    "<div align=\"center\">\n",
    "  <a href=\"https://www.linkedin.com/in/labrijisaad/\">\n",
    "    <img src=\"https://img.shields.io/badge/LinkedIn-%230077B5.svg?&style=for-the-badge&logo=linkedin&logoColor=white\" alt=\"LinkedIn\" style=\"margin-bottom: 5px;\"/>\n",
    "  </a>\n",
    "  <a href=\"https://github.com/labrijisaad\">\n",
    "    <img src=\"https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white\" alt=\"GitHub\" style=\"margin-bottom: 5px;\"/>\n",
    "  </a>\n",
    "</div>"
   ]
  }
 ],
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