{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2e8cf88b-cecf-409f-9c2d-c3762b233f05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: openpyxl in /opt/python/lib/python3.13/site-packages (3.1.5)\n",
      "Requirement already satisfied: et-xmlfile in /opt/python/lib/python3.13/site-packages (from openpyxl) (2.0.0)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.3\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install openpyxl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ff2261fb-9516-4410-b42d-3acc8dc1a460",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import s3fs\n",
    "os.environ[\"AWS_ACCESS_KEY_ID\"] = 'N1DBJCHI7YTK9AVMG6XT'\n",
    "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'SRCPMh8a1eQxX6Z09GeDxZoD55MBpnkJzyBctLII'\n",
    "os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.sLXOE8w930_dXU0yNWroaDvaTvcUUCONMcbgbKeMEduQebXQjOS7gEQxo-I7Q2oqLFb_dhg1zBlwx5VpNjyTMA'\n",
    "os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
    "fs = s3fs.S3FileSystem(\n",
    "    client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
    "    key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
    "    secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
    "    token = os.environ[\"AWS_SESSION_TOKEN\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d36f3f0-bd40-4a83-96d1-b46d75f5a4c5",
   "metadata": {},
   "source": [
    "# data exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eaf5c5a0-eb1c-4242-b893-7600e6def109",
   "metadata": {},
   "source": [
    "Fonctions utiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "60e2035c-c2f0-4c51-97df-102e67ba96ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_account(account_id, isin=None):\n",
    "    \"\"\"\n",
    "    Plots the stock (Quantity - AUM) evolution for a given Registrar Account.\n",
    "    Optionally, only for one ISIN.\n",
    "    \"\"\"\n",
    "\n",
    "    df = merged.copy()\n",
    "\n",
    "    # Filter by account\n",
    "    df = df[df[\"Registrar Account - ID\"] == account_id]\n",
    "\n",
    "    if isin is not None:\n",
    "        df = df[df[\"Product - Isin\"] == isin]\n",
    "\n",
    "    if df.empty:\n",
    "        print(f\"No data found for account {account_id}\")\n",
    "        return\n",
    "\n",
    "    df_plot = df.groupby(\"Centralisation Date\")[\"Quantity - AUM\"].sum().reset_index()\n",
    "\n",
    "    df_plot = df_plot.sort_values(\"Centralisation Date\")\n",
    "\n",
    "    # Plot\n",
    "    plt.figure(figsize=(12, 4))\n",
    "    plt.plot(df_plot[\"Centralisation Date\"], df_plot[\"Quantity - AUM\"], marker='o')\n",
    "    plt.title(f\"Stock Evolution for Account {account_id}\", fontsize=14)\n",
    "    plt.xlabel(\"Date\")\n",
    "    plt.ylabel(\"Total AUM\")\n",
    "    plt.grid(True)\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37e008b1-32d4-44be-9d23-1b90a5a26f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "#   2. BASIC INSPECTION\n",
    "\n",
    "def quick_info(df, name):\n",
    "    print(\"\\n\" + \"=\"*80)\n",
    "    print(f\"DATASET : {name}\")\n",
    "    print(\"=\"*80)\n",
    "    print(\"\\nShape :\", df.shape)\n",
    "    print(\"\\nColumns :\", df.columns.tolist())\n",
    "    print(\"\\nDtypes :\\n\", df.dtypes)\n",
    "    print(\"\\nMissing values (%) :\\n\", df.isna().mean().sort_values(ascending=False)*100)\n",
    "    print(\"\\nSample rows:\\n\", df.head(5))\n",
    "    print(\"\\nUnique values per column:\\n\", df.nunique().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e104a416-4cfd-43b9-b9ec-6af1fce700da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import s3fs\n",
    "os.environ[\"AWS_ACCESS_KEY_ID\"] = 'R9J6QLRZDYWLSWKBJ7IA'\n",
    "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'sFi4J78xigTJEXdY02bQL2i5KNwyYL7VZpMe0XJs'\n",
    "os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.gUxGEq4iWA5eJVWYj-JyDZGYzTnWmQH92iYU-2_5P4n3erGFFZvz8wJe5keTAhcKKTycZKiWltnZpCNsRQ0vOg'\n",
    "os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
    "fs = s3fs.S3FileSystem(\n",
    "    client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
    "    key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
    "    secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
    "    token = os.environ[\"AWS_SESSION_TOKEN\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e67a99ea-ddf4-4627-8f48-ec183c671acb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1219/19230119.py:2: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  flows = pd.read_csv(f, sep=\";\")\n",
      "/tmp/ipykernel_1219/19230119.py:5: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  stocks = pd.read_csv(f, sep=\";\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "================================================================================\n",
      "DATASET : STOCKS\n",
      "================================================================================\n",
      "\n",
      "Shape : (4880297, 18)\n",
      "\n",
      "Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - AUM', 'Value - AUM CCY', 'Value - AUM €']\n",
      "\n",
      "Dtypes :\n",
      " Agreement - Code                  object\n",
      "Company - Id                      object\n",
      "Company - Ultimate Parent Id      object\n",
      "Registrar Account - ID            object\n",
      "Registrar Account - Region        object\n",
      "RegistrarAccount - Country        object\n",
      "Product - Asset Type              object\n",
      "Product - Strategy                object\n",
      "Product - Legal Status            object\n",
      "Product - Is Dedie ?              object\n",
      "Product - Fund                    object\n",
      "Product - Shareclass Type         object\n",
      "Product - Shareclass Currency     object\n",
      "Product - Isin                    object\n",
      "Centralisation Date               object\n",
      "Quantity - AUM                   float64\n",
      "Value - AUM CCY                  float64\n",
      "Value - AUM €                    float64\n",
      "dtype: object\n",
      "\n",
      "Missing values (%) :\n",
      " Product - Asset Type             6.471553\n",
      "Company - Id                     2.330801\n",
      "Company - Ultimate Parent Id     2.330801\n",
      "Product - Strategy               0.001537\n",
      "Product - Shareclass Type        0.000717\n",
      "Agreement - Code                 0.000000\n",
      "RegistrarAccount - Country       0.000000\n",
      "Registrar Account - Region       0.000000\n",
      "Product - Legal Status           0.000000\n",
      "Registrar Account - ID           0.000000\n",
      "Product - Is Dedie ?             0.000000\n",
      "Product - Fund                   0.000000\n",
      "Product - Shareclass Currency    0.000000\n",
      "Product - Isin                   0.000000\n",
      "Centralisation Date              0.000000\n",
      "Quantity - AUM                   0.000000\n",
      "Value - AUM CCY                  0.000000\n",
      "Value - AUM €                    0.000000\n",
      "dtype: float64\n",
      "\n",
      "Sample rows:\n",
      "   Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
      "0                3        166.0                        166.0   \n",
      "1                3        166.0                        166.0   \n",
      "2                3        166.0                        166.0   \n",
      "3                3        166.0                        166.0   \n",
      "4                3        166.0                        166.0   \n",
      "\n",
      "  Registrar Account - ID Registrar Account - Region  \\\n",
      "0              200000647                     France   \n",
      "1              200000647                     France   \n",
      "2              200000647                     France   \n",
      "3              200000647                     France   \n",
      "4              200000647                     France   \n",
      "\n",
      "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
      "0                     France          Diversified         Patrimoine   \n",
      "1                     France          Diversified         Patrimoine   \n",
      "2                     France          Diversified         Patrimoine   \n",
      "3                     France          Diversified         Patrimoine   \n",
      "4                     France          Diversified         Patrimoine   \n",
      "\n",
      "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
      "0                    FCP                   NO  Carmignac Patrimoine   \n",
      "1                    FCP                   NO  Carmignac Patrimoine   \n",
      "2                    FCP                   NO  Carmignac Patrimoine   \n",
      "3                    FCP                   NO  Carmignac Patrimoine   \n",
      "4                    FCP                   NO  Carmignac Patrimoine   \n",
      "\n",
      "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
      "0                         A                           EUR   FR0010135103   \n",
      "1                         A                           EUR   FR0010135103   \n",
      "2                         A                           EUR   FR0010135103   \n",
      "3                         A                           EUR   FR0010135103   \n",
      "4                         A                           EUR   FR0010135103   \n",
      "\n",
      "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
      "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
      "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
      "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
      "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
      "4          2016-11-30          35.368       22489.4502     22489.4502  \n",
      "\n",
      "Unique values per column:\n",
      " Value - AUM €                    1697923\n",
      "Value - AUM CCY                  1689620\n",
      "Quantity - AUM                    554404\n",
      "Registrar Account - ID             15532\n",
      "Agreement - Code                    2521\n",
      "Company - Id                        1970\n",
      "Company - Ultimate Parent Id        1392\n",
      "Product - Isin                       491\n",
      "Centralisation Date                  130\n",
      "Product - Fund                        74\n",
      "Product - Strategy                    52\n",
      "RegistrarAccount - Country            39\n",
      "Registrar Account - Region            15\n",
      "Product - Shareclass Type             11\n",
      "Product - Legal Status                 6\n",
      "Product - Shareclass Currency          6\n",
      "Product - Asset Type                   5\n",
      "Product - Is Dedie ?                   2\n",
      "dtype: int64\n",
      "\n",
      "================================================================================\n",
      "DATASET : FLOWS\n",
      "================================================================================\n",
      "\n",
      "Shape : (2574461, 24)\n",
      "\n",
      "Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - Subscription', 'Quantity - Redemption', 'Quantity - NetFlows', 'Value Ccy - Subscription', 'Value Ccy - Redemption', 'Value Ccy - NetFlows', 'Value € - Subscription', 'Value € - Redemption', 'Value € - NetFlows']\n",
      "\n",
      "Dtypes :\n",
      " Agreement - Code                  object\n",
      "Company - Id                      object\n",
      "Company - Ultimate Parent Id      object\n",
      "Registrar Account - ID            object\n",
      "Registrar Account - Region        object\n",
      "RegistrarAccount - Country        object\n",
      "Product - Asset Type              object\n",
      "Product - Strategy                object\n",
      "Product - Legal Status            object\n",
      "Product - Is Dedie ?              object\n",
      "Product - Fund                    object\n",
      "Product - Shareclass Type         object\n",
      "Product - Shareclass Currency     object\n",
      "Product - Isin                    object\n",
      "Centralisation Date               object\n",
      "Quantity - Subscription          float64\n",
      "Quantity - Redemption            float64\n",
      "Quantity - NetFlows              float64\n",
      "Value Ccy - Subscription         float64\n",
      "Value Ccy - Redemption           float64\n",
      "Value Ccy - NetFlows             float64\n",
      "Value € - Subscription           float64\n",
      "Value € - Redemption             float64\n",
      "Value € - NetFlows               float64\n",
      "dtype: object\n",
      "\n",
      "Missing values (%) :\n",
      " Product - Asset Type             0.079589\n",
      "Company - Id                     0.059818\n",
      "Company - Ultimate Parent Id     0.059818\n",
      "Product - Strategy               0.000233\n",
      "Product - Shareclass Type        0.000078\n",
      "Registrar Account - ID           0.000000\n",
      "RegistrarAccount - Country       0.000000\n",
      "Agreement - Code                 0.000000\n",
      "Registrar Account - Region       0.000000\n",
      "Product - Legal Status           0.000000\n",
      "Product - Is Dedie ?             0.000000\n",
      "Product - Fund                   0.000000\n",
      "Product - Shareclass Currency    0.000000\n",
      "Product - Isin                   0.000000\n",
      "Centralisation Date              0.000000\n",
      "Quantity - Subscription          0.000000\n",
      "Quantity - Redemption            0.000000\n",
      "Quantity - NetFlows              0.000000\n",
      "Value Ccy - Subscription         0.000000\n",
      "Value Ccy - Redemption           0.000000\n",
      "Value Ccy - NetFlows             0.000000\n",
      "Value € - Subscription           0.000000\n",
      "Value € - Redemption             0.000000\n",
      "Value € - NetFlows               0.000000\n",
      "dtype: float64\n",
      "\n",
      "Sample rows:\n",
      "   Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
      "0              003          166                          166   \n",
      "1              003          166                          166   \n",
      "2              003          166                          166   \n",
      "3              003          166                          166   \n",
      "4              003          166                          166   \n",
      "\n",
      "  Registrar Account - ID Registrar Account - Region  \\\n",
      "0              200127202                     France   \n",
      "1                 406533                     France   \n",
      "2                 406533                     France   \n",
      "3                 406533                     France   \n",
      "4                 406533                     France   \n",
      "\n",
      "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
      "0                     France               Equity     Investissement   \n",
      "1                     France          Diversified         Patrimoine   \n",
      "2                     France               Equity     Investissement   \n",
      "3                     France               Equity     Investissement   \n",
      "4                     France               Equity     Investissement   \n",
      "\n",
      "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
      "0                  SICAV                   NO  ...          2020-11-05   \n",
      "1                    FCP                   NO  ...          2015-03-09   \n",
      "2                    FCP                   NO  ...          2016-10-26   \n",
      "3                    FCP                   NO  ...          2018-10-18   \n",
      "4                    FCP                   NO  ...          2019-04-08   \n",
      "\n",
      "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
      "0                 1636.00                 0.000            1636.000   \n",
      "1                  144.69                 0.000             144.690   \n",
      "2                    0.00                -8.321              -8.321   \n",
      "3                    0.00               -22.083             -22.083   \n",
      "4                    0.00              -465.992            -465.992   \n",
      "\n",
      "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
      "0                280983.00                    0.00             280983.00   \n",
      "1                 99985.13                    0.00              99985.13   \n",
      "2                     0.00                -9384.76              -9384.76   \n",
      "3                     0.00               -25227.40             -25227.40   \n",
      "4                     0.00              -563775.76            -563775.76   \n",
      "\n",
      "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
      "0               280983.00                  0.00           280983.00  \n",
      "1                99985.13                  0.00            99985.13  \n",
      "2                    0.00              -9384.76            -9384.76  \n",
      "3                    0.00             -25227.40           -25227.40  \n",
      "4                    0.00            -563775.76          -563775.76  \n",
      "\n",
      "[5 rows x 24 columns]\n",
      "\n",
      "Unique values per column:\n",
      " Value € - NetFlows               2018916\n",
      "Value Ccy - NetFlows             1972319\n",
      "Value € - Redemption             1323531\n",
      "Value Ccy - Redemption           1296468\n",
      "Value € - Subscription            955890\n",
      "Value Ccy - Subscription          926633\n",
      "Quantity - NetFlows               667586\n",
      "Quantity - Redemption             374378\n",
      "Quantity - Subscription           359661\n",
      "Registrar Account - ID              9805\n",
      "Centralisation Date                 2780\n",
      "Company - Id                        1929\n",
      "Agreement - Code                    1626\n",
      "Company - Ultimate Parent Id        1283\n",
      "Product - Isin                       474\n",
      "Product - Fund                        70\n",
      "Product - Strategy                    49\n",
      "RegistrarAccount - Country            34\n",
      "Registrar Account - Region            15\n",
      "Product - Shareclass Type             10\n",
      "Product - Shareclass Currency          6\n",
      "Product - Legal Status                 6\n",
      "Product - Asset Type                   5\n",
      "Product - Is Dedie ?                   2\n",
      "dtype: int64\n",
      "\n",
      "================================================================================\n",
      "DATASET : NAV/PRICES\n",
      "================================================================================\n",
      "\n",
      "Shape : (30333, 13)\n",
      "\n",
      "Columns : ['NavDate', 'LegalForm', 'Cod', 'PortfolioName', 'PTFCurrency', 'PortfolioAum_Eur', 'ShareClassIsin', 'ShareClassName', 'ShareClassCurrency', 'ShareClassPrice', 'NumberOfShares', 'ShareClassAumLocalCur', 'ShareClassAum_EUR']\n",
      "\n",
      "Dtypes :\n",
      " 0\n",
      "NavDate                  object\n",
      "LegalForm                object\n",
      "Cod                      object\n",
      "PortfolioName            object\n",
      "PTFCurrency              object\n",
      "PortfolioAum_Eur         object\n",
      "ShareClassIsin           object\n",
      "ShareClassName           object\n",
      "ShareClassCurrency       object\n",
      "ShareClassPrice          object\n",
      "NumberOfShares           object\n",
      "ShareClassAumLocalCur    object\n",
      "ShareClassAum_EUR        object\n",
      "dtype: object\n",
      "\n",
      "Missing values (%) :\n",
      " 0\n",
      "NavDate                  0.0\n",
      "LegalForm                0.0\n",
      "Cod                      0.0\n",
      "PortfolioName            0.0\n",
      "PTFCurrency              0.0\n",
      "PortfolioAum_Eur         0.0\n",
      "ShareClassIsin           0.0\n",
      "ShareClassName           0.0\n",
      "ShareClassCurrency       0.0\n",
      "ShareClassPrice          0.0\n",
      "NumberOfShares           0.0\n",
      "ShareClassAumLocalCur    0.0\n",
      "ShareClassAum_EUR        0.0\n",
      "dtype: float64\n",
      "\n",
      "Sample rows:\n",
      " 0     NavDate LegalForm  Cod                           PortfolioName  \\\n",
      "0  31/12/2009     SICAV   CC  Carmignac Portfolio Climate Transition   \n",
      "1  31/12/2009     SICAV  CFB       Carmignac Portfolio Flexible Bond   \n",
      "2  31/12/2009       FCP  CCT                   Carmignac Court Terme   \n",
      "3  31/12/2009       FCP   CE                     Carmignac Emergents   \n",
      "4  31/12/2009     SICAV  CAD      Carmignac Portfolio Asia Discovery   \n",
      "\n",
      "0 PTFCurrency PortfolioAum_Eur ShareClassIsin ShareClassName  \\\n",
      "0         EUR        941059600   LU0164455502      A EUR ACC   \n",
      "1         EUR      57063272.31   LU0336084032      A EUR ACC   \n",
      "2         EUR      788828666.5   FR0010149161      A EUR ACC   \n",
      "3         EUR       1508087050   FR0010149302      A EUR ACC   \n",
      "4         EUR      149490224.2   LU0336083810      A EUR ACC   \n",
      "\n",
      "0 ShareClassCurrency ShareClassPrice NumberOfShares ShareClassAumLocalCur  \\\n",
      "0                EUR          287.21     3276555.83             941059600   \n",
      "1                EUR        1016.833    56118.62745           57063272.31   \n",
      "2                EUR         3687.84    213899.9161           788828666.5   \n",
      "3                EUR          559.82    2693878.478            1508087050   \n",
      "4                EUR           884.9    168934.5962           149490224.2   \n",
      "\n",
      "0 ShareClassAum_EUR  \n",
      "0         941059600  \n",
      "1       57063272.31  \n",
      "2       788828666.5  \n",
      "3        1508087050  \n",
      "4       149490224.2  \n",
      "\n",
      "Unique values per column:\n",
      " 0\n",
      "ShareClassAum_EUR        30211\n",
      "ShareClassAumLocalCur    30032\n",
      "NumberOfShares           28910\n",
      "ShareClassPrice          14747\n",
      "PortfolioAum_Eur          5505\n",
      "ShareClassIsin             416\n",
      "NavDate                    210\n",
      "ShareClassName              90\n",
      "Cod                         55\n",
      "PortfolioName               55\n",
      "LegalForm                    6\n",
      "ShareClassCurrency           6\n",
      "PTFCurrency                  2\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "with fs.open('projet-bdc-data//carmignac/Flows ENSAE V2 -20251105.csv', 'rb') as f:\n",
    "    flows = pd.read_csv(f, sep=\";\")\n",
    "\n",
    "with fs.open('projet-bdc-data//carmignac/AUM ENSAE V2 -20251105.csv', 'rb') as f:\n",
    "    stocks = pd.read_csv(f, sep=\";\")\n",
    "\n",
    "with fs.open('projet-bdc-data/carmignac/Monthly AUM and NAV since 2010.xlsx', 'rb') as f:\n",
    "    nav_raw = pd.read_excel(f, header=None, engine=\"openpyxl\")\n",
    "nav = nav_raw[0].str.split(\",\", expand=True)\n",
    "nav.columns = nav.iloc[0]\n",
    "nav = nav[1:].reset_index(drop=True)\n",
    "\n",
    "quick_info(stocks, \"STOCKS\")\n",
    "quick_info(flows,  \"FLOWS\")\n",
    "quick_info(nav,    \"NAV/PRICES\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9bc92c9f-216c-475e-bfb8-edc1a4e839f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date conversion done.\n",
      "NAV numeric conversion done.\n",
      "String normalization done.\n",
      "\n",
      "ISIN missing in FLOWS but present in STOCKS : 17\n",
      "\n",
      "ISIN missing in STOCKS but present in FLOWS : 0\n",
      "\n",
      "ISIN missing in NAV but present in FLOWS : 67\n",
      "\n",
      "ISIN missing in NAV but present in STOCKS : 76\n",
      "\n",
      "Accounts in STOCKS but NEVER in FLOWS : 5777\n",
      "\n",
      "Accounts in FLOWS but NEVER in STOCKS : 118\n",
      "\n",
      "CLIENT BEHAVIOR (first 5 rows):\n",
      "   Registrar Account - ID  n_days  n_transactions  total_netflows   mean_flow  \\\n",
      "0              100000028       3               3        -109.238  -36.412667   \n",
      "1              100000042       1               1        -660.115 -660.115000   \n",
      "2              100000065       1               1        -174.646 -174.646000   \n",
      "3              100000069      65              73       -7479.755 -102.462397   \n",
      "4              100000073       1               1        -133.402 -133.402000   \n",
      "\n",
      "      std_flow  total_subscription  total_redemption   churn_ratio  \n",
      "0    49.280511               0.000          -109.238 -1.092380e+11  \n",
      "1          NaN               0.000          -660.115 -6.601150e+11  \n",
      "2          NaN               0.000          -174.646 -1.746460e+11  \n",
      "3  2168.971331           33320.402        -40800.157 -1.224480e+00  \n",
      "4          NaN               0.000          -133.402 -1.334020e+11  \n",
      "\n",
      "FUND BEHAVIOR (first 5 rows):\n",
      "   Product - Isin  n_accounts  n_days  total_netflows    vol_flows\n",
      "0   FR0010135103        2690    2723   -2.571327e+07  2622.609244\n",
      "1   FR0010147603         733    2719   -2.562187e+06  1206.248205\n",
      "2   FR0010148981        1841    2722   -3.609440e+06  1051.069183\n",
      "3   FR0010148999         454    2306   -7.130297e+05  1265.364138\n",
      "4   FR0010149112         934    2000   -9.438901e+05  1834.961721\n"
     ]
    }
   ],
   "source": [
    "# 1. CLEAN DATES (formats différents)\n",
    "\n",
    "stocks[\"Centralisation Date\"] = pd.to_datetime(stocks[\"Centralisation Date\"], errors=\"coerce\")\n",
    "flows[\"Centralisation Date\"]  = pd.to_datetime(flows[\"Centralisation Date\"], errors=\"coerce\")\n",
    "nav[\"NavDate\"] = pd.to_datetime(nav[\"NavDate\"], format=\"%d/%m/%Y\", errors=\"coerce\")\n",
    "\n",
    "print(\"Date conversion done.\")\n",
    "\n",
    "# 2. CLEAN NUMERIC COLUMNS FOR NAV FILE\n",
    "\n",
    "num_cols = [\"PortfolioAum_Eur\",\"ShareClassPrice\",\"NumberOfShares\",\n",
    "            \"ShareClassAumLocalCur\",\"ShareClassAum_EUR\"]\n",
    "\n",
    "for col in num_cols:\n",
    "    nav[col] = (\n",
    "        nav[col]\n",
    "        .astype(str)\n",
    "        .str.replace(\",\", \".\", regex=False)\n",
    "        .str.replace(\" \", \"\")\n",
    "        .astype(float)\n",
    "    )\n",
    "\n",
    "print(\"NAV numeric conversion done.\")\n",
    "\n",
    "# 3. STANDARDIZE STRINGS FOR JOIN KEYS\n",
    "\n",
    "def norm(df):\n",
    "    for col in df.columns:\n",
    "        if df[col].dtype == \"object\":\n",
    "            df[col] = df[col].astype(str).str.strip().str.upper()\n",
    "    return df\n",
    "\n",
    "stocks = norm(stocks)\n",
    "flows = norm(flows)\n",
    "nav = norm(nav)\n",
    "\n",
    "print(\"String normalization done.\")\n",
    "\n",
    "\n",
    "# 4. ANALYSE RELATIONS ACROSS FILES\n",
    "\n",
    "# Unique sets\n",
    "isin_stocks = set(stocks[\"Product - Isin\"].unique())\n",
    "isin_flows  = set(flows[\"Product - Isin\"].unique())\n",
    "isin_nav    = set(nav[\"ShareClassIsin\"].unique())\n",
    "\n",
    "print(\"\\nISIN missing in FLOWS but present in STOCKS :\", len(isin_stocks - isin_flows))\n",
    "print(\"\\nISIN missing in STOCKS but present in FLOWS :\", len(isin_flows - isin_stocks))\n",
    "print(\"\\nISIN missing in NAV but present in FLOWS :\", len(isin_flows - isin_nav))\n",
    "print(\"\\nISIN missing in NAV but present in STOCKS :\", len(isin_stocks - isin_nav))\n",
    "\n",
    "\n",
    "# 5. CLIENTS: STOCKS VS FLOWS\n",
    "\n",
    "acc_stocks = set(stocks[\"Registrar Account - ID\"].unique())\n",
    "acc_flows  = set(flows[\"Registrar Account - ID\"].unique())\n",
    "\n",
    "print(\"\\nAccounts in STOCKS but NEVER in FLOWS :\", len(acc_stocks - acc_flows))\n",
    "print(\"\\nAccounts in FLOWS but NEVER in STOCKS :\", len(acc_flows - acc_stocks))\n",
    "\n",
    "\n",
    "# 6. CLIENT ACTIVITY METRICS (DETAILED)\n",
    "\n",
    "client_behavior = flows.groupby(\"Registrar Account - ID\").agg(\n",
    "    n_days=(\"Centralisation Date\", lambda x: x.nunique()),\n",
    "    n_transactions=(\"Quantity - NetFlows\", \"count\"),\n",
    "    total_netflows=(\"Quantity - NetFlows\", \"sum\"),\n",
    "    mean_flow=(\"Quantity - NetFlows\", \"mean\"),\n",
    "    std_flow=(\"Quantity - NetFlows\", \"std\"),\n",
    "    total_subscription=(\"Quantity - Subscription\", \"sum\"),\n",
    "    total_redemption=(\"Quantity - Redemption\", \"sum\")\n",
    ").reset_index()\n",
    "\n",
    "# Add churn metric\n",
    "client_behavior[\"churn_ratio\"] = (\n",
    "    client_behavior[\"total_redemption\"] /\n",
    "    (client_behavior[\"total_subscription\"] + 1e-9)\n",
    ")\n",
    "\n",
    "print(\"\\nCLIENT BEHAVIOR (first 5 rows):\\n\", client_behavior.head())\n",
    "\n",
    "\n",
    "# 7. FUNDS ACTIVITY METRICS\n",
    "\n",
    "fund_behavior = flows.groupby(\"Product - Isin\").agg(\n",
    "    n_accounts=(\"Registrar Account - ID\", \"nunique\"),\n",
    "    n_days=(\"Centralisation Date\", lambda x: x.nunique()),\n",
    "    total_netflows=(\"Quantity - NetFlows\", \"sum\"),\n",
    "    vol_flows=(\"Quantity - NetFlows\", \"std\")\n",
    ").reset_index()\n",
    "\n",
    "print(\"\\nFUND BEHAVIOR (first 5 rows):\\n\", fund_behavior.head())\n",
    "\n",
    "\n",
    "# 8. SAVE INTERMEDIATE\n",
    "\n",
    "client_behavior.to_csv(\"client_behavior.csv\", index=False)\n",
    "fund_behavior.to_csv(\"fund_behavior.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "afb51598-3a7b-41f2-8d25-5b4b8bfb1c8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FULL usable ISIN : 407\n",
      "Stocks only ISIN : 17\n",
      "Flows only ISIN : 0\n",
      "Missing NAV : 76\n",
      "All ISIN groups saved into 4 separate files.\n"
     ]
    }
   ],
   "source": [
    "valid_full = isin_stocks & isin_flows & isin_nav\n",
    "stocks_only = isin_stocks - isin_flows\n",
    "flows_only = isin_flows - isin_stocks\n",
    "missing_nav = (isin_stocks | isin_flows) - isin_nav\n",
    "\n",
    "print(\"FULL usable ISIN :\", len(valid_full))\n",
    "print(\"Stocks only ISIN :\", len(stocks_only))\n",
    "print(\"Flows only ISIN :\", len(flows_only))\n",
    "print(\"Missing NAV :\", len(missing_nav))\n",
    "\n",
    "pd.DataFrame({\"isin\": list(valid_full)}).to_csv(\"isin_full.csv\", index=False)\n",
    "pd.DataFrame({\"isin\": list(stocks_only)}).to_csv(\"isin_stocks_only.csv\", index=False)\n",
    "pd.DataFrame({\"isin\": list(flows_only)}).to_csv(\"isin_flows_only.csv\", index=False)\n",
    "pd.DataFrame({\"isin\": list(missing_nav)}).to_csv(\"isin_missing_nav.csv\", index=False)\n",
    "\n",
    "print(\"All ISIN groups saved into 4 separate files.\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "61e0c71a-a1c6-4ed8-ba15-b7a9badc4d4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Registrar Account - ID  n_days  n_transactions  total_netflows   mean_flow  \\\n",
      "0              100000028       3               3        -109.238  -36.412667   \n",
      "1              100000042       1               1        -660.115 -660.115000   \n",
      "2              100000065       1               1        -174.646 -174.646000   \n",
      "3              100000069      65              73       -7479.755 -102.462397   \n",
      "4              100000073       1               1        -133.402 -133.402000   \n",
      "\n",
      "      std_flow  total_subscription  total_redemption   churn_ratio  \\\n",
      "0    49.280511               0.000          -109.238 -1.092380e+08   \n",
      "1          NaN               0.000          -660.115 -6.601150e+08   \n",
      "2          NaN               0.000          -174.646 -1.746460e+08   \n",
      "3  2168.971331           33320.402        -40800.157 -1.224480e+00   \n",
      "4          NaN               0.000          -133.402 -1.334020e+08   \n",
      "\n",
      "   churn_flag  activity_score  flow_volatility  inertia_ratio  \n",
      "0           0        1.386294        49.280511       0.998921  \n",
      "1           0        0.693147         0.000000       0.999640  \n",
      "2           0        0.693147         0.000000       0.999640  \n",
      "3           0        4.304065      2168.971331       0.976619  \n",
      "4           0        0.693147         0.000000       0.999640  \n"
     ]
    }
   ],
   "source": [
    "eps = 1e-6\n",
    "\n",
    "client_behavior[\"churn_ratio\"] = (\n",
    "    client_behavior[\"total_redemption\"] /\n",
    "    (client_behavior[\"total_subscription\"] + eps)\n",
    ")\n",
    "\n",
    "client_behavior[\"churn_flag\"] = (\n",
    "    client_behavior[\"total_redemption\"] > client_behavior[\"total_subscription\"]\n",
    ").astype(int)\n",
    "\n",
    "client_behavior[\"activity_score\"] = np.log1p(client_behavior[\"n_transactions\"])\n",
    "\n",
    "client_behavior[\"flow_volatility\"] = client_behavior[\"std_flow\"].fillna(0)\n",
    "\n",
    "client_behavior[\"inertia_ratio\"] = (\n",
    "    1 - client_behavior[\"n_days\"] / flows[\"Centralisation Date\"].nunique()\n",
    ")\n",
    "\n",
    "print(client_behavior.head())\n",
    "\n",
    "client_behavior.to_csv(\"client_behavior_clean.csv\", index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8ee7e911-eb73-4846-b545-661140411c1b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1219/1645623303.py:17: RuntimeWarning: invalid value encountered in scalar divide\n",
      "  .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Registrar Account - ID  n_isin_held  n_funds_held  n_asset_types  \\\n",
      "0              100000014            1             1              1   \n",
      "1              100000016            2             2              2   \n",
      "2              100000028            1             1              1   \n",
      "3              100000038            3             3              2   \n",
      "4              100000042            1             1              1   \n",
      "\n",
      "   n_strategies    total_aum  median_aum  concentration_ratio  \n",
      "0             1       0.0000         0.0                  NaN  \n",
      "1             2       0.0000         0.0                  NaN  \n",
      "2             1  126236.2184         0.0                  1.0  \n",
      "3             3       0.0000         0.0                  NaN  \n",
      "4             1  446362.9015         0.0                  1.0  \n",
      "        n_isin_held  n_funds_held  n_asset_types  n_strategies     total_aum  \\\n",
      "count  12501.000000  12501.000000   12501.000000  12501.000000  1.250100e+04   \n",
      "mean       5.514759      4.408367       2.082473      4.109271  4.218474e+08   \n",
      "std       10.434698      5.472756       1.254048      4.714800  5.618341e+09   \n",
      "min        1.000000      1.000000       1.000000      1.000000 -2.586805e+08   \n",
      "25%        1.000000      1.000000       1.000000      1.000000  0.000000e+00   \n",
      "50%        2.000000      2.000000       2.000000      2.000000  2.587605e+05   \n",
      "75%        6.000000      5.000000       3.000000      5.000000  8.817014e+06   \n",
      "max      469.000000     67.000000       6.000000     48.000000  4.780234e+11   \n",
      "\n",
      "         median_aum  concentration_ratio  \n",
      "count  1.250100e+04          7708.000000  \n",
      "mean   2.573991e+05             0.790503  \n",
      "std    3.487976e+06             0.261535  \n",
      "min   -2.317333e+06            -2.591840  \n",
      "25%    0.000000e+00             0.576503  \n",
      "50%    0.000000e+00             0.972159  \n",
      "75%    1.474502e+02             1.000000  \n",
      "max    2.215373e+08             2.983529  \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1219/1645623303.py:17: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n"
     ]
    }
   ],
   "source": [
    "# Diversification per account\n",
    "account_div = stocks.groupby(\"Registrar Account - ID\").agg(\n",
    "    n_isin_held=(\"Product - Isin\", \"nunique\"),\n",
    "    n_funds_held=(\"Product - Fund\", \"nunique\"),\n",
    "    n_asset_types=(\"Product - Asset Type\", \"nunique\"),\n",
    "    n_strategies=(\"Product - Strategy\", \"nunique\"),\n",
    "    total_aum=(\"Value - AUM €\", \"sum\"),\n",
    "    median_aum=(\"Value - AUM €\", \"median\")\n",
    ").reset_index()\n",
    "\n",
    "# Concentration ratio per account\n",
    "aum_by_account_fund = stocks.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Fund\"]\n",
    ")[\"Value - AUM €\"].sum().reset_index()\n",
    "\n",
    "concentration = aum_by_account_fund.groupby(\"Registrar Account - ID\") \\\n",
    "    .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n",
    "    .reset_index(name=\"concentration_ratio\")\n",
    "\n",
    "# Merge diversification + concentration\n",
    "account_static = account_div.merge(concentration, on=\"Registrar Account - ID\", how=\"left\")\n",
    "\n",
    "print(account_static.head())\n",
    "print(account_static.describe())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "76f6fa0d-9d7a-4145-af1c-986d83947f91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Registrar Account - ID         country          region\n",
      "0              100000014     SWITZERLAND     SWITZERLAND\n",
      "1              100000016  UNITED KINGDOM  UNITED KINGDOM\n",
      "2              100000028  UNITED KINGDOM  UNITED KINGDOM\n",
      "3              100000038     SWITZERLAND     SWITZERLAND\n",
      "4              100000042  UNITED KINGDOM  UNITED KINGDOM\n"
     ]
    }
   ],
   "source": [
    "# Geographic info per account\n",
    "geo = stocks.groupby(\"Registrar Account - ID\").agg(\n",
    "    country=(\"RegistrarAccount - Country\", lambda x: x.mode()[0]),\n",
    "    region=(\"Registrar Account - Region\", lambda x: x.mode()[0])\n",
    ").reset_index()\n",
    "\n",
    "print(geo.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e9bb67ab-9029-4ace-b960-b3d6e0b8683c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Registrar Account - ID  n_days  n_transactions  total_netflows   mean_flow  \\\n",
      "0              100000028       3               3        -109.238  -36.412667   \n",
      "1              100000042       1               1        -660.115 -660.115000   \n",
      "2              100000065       1               1        -174.646 -174.646000   \n",
      "3              100000069      65              73       -7479.755 -102.462397   \n",
      "4              100000073       1               1        -133.402 -133.402000   \n",
      "\n",
      "      std_flow  total_subscription  total_redemption   churn_ratio  \\\n",
      "0    49.280511               0.000          -109.238 -1.092380e+08   \n",
      "1          NaN               0.000          -660.115 -6.601150e+08   \n",
      "2          NaN               0.000          -174.646 -1.746460e+08   \n",
      "3  2168.971331           33320.402        -40800.157 -1.224480e+00   \n",
      "4          NaN               0.000          -133.402 -1.334020e+08   \n",
      "\n",
      "   churn_flag  ...  n_funds_held  n_asset_types  n_strategies    total_aum  \\\n",
      "0           0  ...           1.0            1.0           1.0  126236.2184   \n",
      "1           0  ...           1.0            1.0           1.0  446362.9015   \n",
      "2           0  ...           1.0            1.0           1.0  488743.4240   \n",
      "3           0  ...           0.0            0.0           0.0          NaN   \n",
      "4           0  ...           2.0            2.0           2.0  373322.8948   \n",
      "\n",
      "   median_aum  concentration_ratio         country          region  \\\n",
      "0         0.0                  1.0  UNITED KINGDOM  UNITED KINGDOM   \n",
      "1         0.0                  1.0  UNITED KINGDOM  UNITED KINGDOM   \n",
      "2         0.0                  1.0  UNITED KINGDOM  UNITED KINGDOM   \n",
      "3         NaN                  NaN         UNKNOWN         UNKNOWN   \n",
      "4         0.0                  1.0  UNITED KINGDOM  UNITED KINGDOM   \n",
      "\n",
      "   log_total_aum  log_median_aum  \n",
      "0      11.745918             0.0  \n",
      "1      13.008890             0.0  \n",
      "2      13.099595             0.0  \n",
      "3            NaN             NaN  \n",
      "4      12.830202             0.0  \n",
      "\n",
      "[5 rows x 24 columns]\n",
      "       Registrar Account - ID       n_days  n_transactions  total_netflows  \\\n",
      "count                    6842  6842.000000     6842.000000    6.842000e+03   \n",
      "unique                   6842          NaN             NaN             NaN   \n",
      "top                 100000028          NaN             NaN             NaN   \n",
      "freq                        1          NaN             NaN             NaN   \n",
      "mean                      NaN   122.731804      376.273166    3.426362e+04   \n",
      "std                       NaN   363.726141     1972.817028    1.644676e+06   \n",
      "min                       NaN     1.000000        1.000000   -9.982301e+06   \n",
      "25%                       NaN     2.000000        2.000000   -3.448661e+02   \n",
      "50%                       NaN     5.000000        6.000000   -1.116000e+00   \n",
      "75%                       NaN    27.000000       42.000000    4.220087e+01   \n",
      "max                       NaN  2715.000000    53314.000000    1.319043e+08   \n",
      "\n",
      "            mean_flow      std_flow  total_subscription  total_redemption  \\\n",
      "count     6842.000000  5.696000e+03        6.842000e+03      6.842000e+03   \n",
      "unique            NaN           NaN                 NaN               NaN   \n",
      "top               NaN           NaN                 NaN               NaN   \n",
      "freq              NaN           NaN                 NaN               NaN   \n",
      "mean       420.503483  6.035653e+03        1.565831e+05     -1.223195e+05   \n",
      "std      15548.555778  7.652710e+04        4.204641e+06      2.600731e+06   \n",
      "min    -333474.890000  0.000000e+00       -3.931320e+02     -2.069900e+08   \n",
      "25%        -35.658375  5.643245e+01        0.000000e+00     -6.968600e+03   \n",
      "50%         -0.067287  2.479222e+02        3.393685e+02     -4.493603e+02   \n",
      "75%          2.235534  9.869604e+02        6.000000e+03     -7.275400e+01   \n",
      "max     871531.706418  4.697263e+06        3.388942e+08      0.000000e+00   \n",
      "\n",
      "         churn_ratio   churn_flag  ...  n_funds_held  n_asset_types  \\\n",
      "count   6.842000e+03  6842.000000  ...   6842.000000    6842.000000   \n",
      "unique           NaN          NaN  ...           NaN            NaN   \n",
      "top              NaN          NaN  ...           NaN            NaN   \n",
      "freq             NaN          NaN  ...           NaN            NaN   \n",
      "mean   -7.445486e+08     0.000146  ...      5.054224       2.114294   \n",
      "std     1.163193e+10     0.012090  ...      6.457703       1.342230   \n",
      "min    -5.212597e+11     0.000000  ...      0.000000       0.000000   \n",
      "25%    -2.279500e+06     0.000000  ...      1.000000       1.000000   \n",
      "50%    -1.048786e+00     0.000000  ...      2.000000       2.000000   \n",
      "75%    -9.333542e-01     0.000000  ...      7.000000       3.000000   \n",
      "max     3.225589e+01     1.000000  ...     67.000000       6.000000   \n",
      "\n",
      "        n_strategies     total_aum    median_aum  concentration_ratio  \\\n",
      "count    6842.000000  6.724000e+03  6.724000e+03          6586.000000   \n",
      "unique           NaN           NaN           NaN                  NaN   \n",
      "top              NaN           NaN           NaN                  NaN   \n",
      "freq             NaN           NaN           NaN                  NaN   \n",
      "mean        4.631102  7.136776e+08  4.051506e+05             0.782903   \n",
      "std         5.493014  7.438256e+09  4.121668e+06             0.267426   \n",
      "min         0.000000 -9.151116e+07 -2.317333e+06            -2.591840   \n",
      "25%         1.000000  5.107611e+05  0.000000e+00             0.561855   \n",
      "50%         2.000000  4.221523e+06  0.000000e+00             0.965881   \n",
      "75%         6.000000  3.987106e+07  2.531545e+04             1.000000   \n",
      "max        48.000000  4.780234e+11  2.215373e+08             2.983529   \n",
      "\n",
      "        country  region  log_total_aum  log_median_aum  \n",
      "count      6842    6842    6724.000000     6724.000000  \n",
      "unique       34      16            NaN             NaN  \n",
      "top      FRANCE  FRANCE            NaN             NaN  \n",
      "freq       2631    2643            NaN             NaN  \n",
      "mean        NaN     NaN      15.046065        4.392450  \n",
      "std         NaN     NaN       4.320148        5.462132  \n",
      "min         NaN     NaN       0.000000        0.000000  \n",
      "25%         NaN     NaN      13.143657        0.000000  \n",
      "50%         NaN     NaN      15.255707        0.000000  \n",
      "75%         NaN     NaN      17.501160       10.139210  \n",
      "max         NaN     NaN      26.892926       19.216101  \n",
      "\n",
      "[11 rows x 24 columns]\n"
     ]
    }
   ],
   "source": [
    "# 1. Merge behavior (flows) with static diversification (stocks)\n",
    "client_master = client_behavior.merge(\n",
    "    account_static,\n",
    "    on=\"Registrar Account - ID\",\n",
    "    how=\"left\"\n",
    ")\n",
    "\n",
    "# 2. Add geographic info\n",
    "client_master = client_master.merge(\n",
    "    geo,\n",
    "    on=\"Registrar Account - ID\",\n",
    "    how=\"left\"\n",
    ")\n",
    "\n",
    "# 3. Create additional engineered features\n",
    "client_master[\"log_total_aum\"] = np.log1p(client_master[\"total_aum\"].clip(lower=0))\n",
    "client_master[\"log_median_aum\"] = np.log1p(client_master[\"median_aum\"].clip(lower=0))\n",
    "\n",
    "\n",
    "# 4. Replace NaN flow volatility with 0 (inactive accounts)\n",
    "client_master[\"flow_volatility\"] = client_master[\"flow_volatility\"].fillna(0)\n",
    "\n",
    "# 5. Fill missing diversification metrics with 0 (for accounts without stocks)\n",
    "client_master[[\"n_isin_held\",\"n_funds_held\",\"n_asset_types\",\"n_strategies\"]] = \\\n",
    "    client_master[[\"n_isin_held\",\"n_funds_held\",\"n_asset_types\",\"n_strategies\"]].fillna(0)\n",
    "\n",
    "# 6. Fill missing geography as “UNKNOWN”\n",
    "client_master[\"country\"] = client_master[\"country\"].fillna(\"UNKNOWN\")\n",
    "client_master[\"region\"] = client_master[\"region\"].fillna(\"UNKNOWN\")\n",
    "\n",
    "# 7. Export\n",
    "client_master.to_csv(\"client_master.csv\", index=False)\n",
    "\n",
    "print(client_master.head())\n",
    "print(client_master.describe(include='all'))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb1e98a5-6ab4-4371-ba45-6558ff38c839",
   "metadata": {},
   "source": [
    "Détection des ruptures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6bdd8077-c8e0-451d-a7b8-15a2705ad196",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- 1. PREPARE STOCKS ---\n",
    "stocks_clean = stocks[[\n",
    "    \"Registrar Account - ID\", \"Product - Isin\", \n",
    "    \"Centralisation Date\", \"Quantity - AUM\"\n",
    "]].copy()\n",
    "\n",
    "stocks_clean[\"Centralisation Date\"] = pd.to_datetime(stocks_clean[\"Centralisation Date\"])\n",
    "stocks_clean = stocks_clean.sort_values([\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"])\n",
    "\n",
    "# --- 2. PREPARE FLOWS ---\n",
    "flows_clean = flows[[\n",
    "    \"Registrar Account - ID\", \"Product - Isin\", \n",
    "    \"Centralisation Date\", \"Quantity - NetFlows\"\n",
    "]].copy()\n",
    "\n",
    "flows_clean[\"Centralisation Date\"] = pd.to_datetime(flows_clean[\"Centralisation Date\"])\n",
    "\n",
    "# Aggregate flows per day to avoid duplicates\n",
    "flows_clean = flows_clean.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
    ")[\"Quantity - NetFlows\"].sum().reset_index()\n",
    "\n",
    "# --- 3. MERGE STOCKS WITH FLOWS ---\n",
    "merged = stocks_clean.merge(\n",
    "    flows_clean,\n",
    "    on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
    "    how=\"left\"\n",
    ")\n",
    "\n",
    "merged[\"Quantity - NetFlows\"] = merged[\"Quantity - NetFlows\"].fillna(0)\n",
    "\n",
    "# --- 4. SHIFT STOCKS TO COMPARE t vs t+1 ---\n",
    "merged[\"prev_stock\"] = merged.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\"]\n",
    ")[\"Quantity - AUM\"].shift(1)\n",
    "\n",
    "# SHIFT NET FLOWS FROM PREVIOUS DATE\n",
    "merged[\"prev_netflows\"] = merged.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\"]\n",
    ")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
    "\n",
    "# Expected stock\n",
    "merged[\"expected_stock\"] = merged[\"prev_stock\"] + merged[\"prev_netflows\"]\n",
    "\n",
    "# --- 5. COMPUTE GAP BETWEEN EXPECTED AND REAL ---\n",
    "merged[\"gap\"] = merged[\"Quantity - AUM\"] - merged[\"expected_stock\"]\n",
    "\n",
    "# tolerance for numerical noise\n",
    "TOL = 1e-6\n",
    "merged[\"rupture_flag\"] = (merged[\"prev_stock\"].notna()) & (merged[\"gap\"].abs() > TOL)\n",
    "\n",
    "# --- 6. AGGREGATE BY CLIENT TO DETECT BIG ISSUES ---\n",
    "rupture_summary = merged.groupby(\"Registrar Account - ID\").agg(\n",
    "    n_ruptures=(\"rupture_flag\", \"sum\"),\n",
    "    total_obs=(\"rupture_flag\", \"count\"),\n",
    "    rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
    "    max_gap=(\"gap\", lambda x: x.abs().max())\n",
    ").reset_index()\n",
    "\n",
    "# Sort by biggest anomalies\n",
    "rupture_summary = rupture_summary.sort_values(\"rupture_ratio\", ascending=False)\n",
    "\n",
    "rupture_summary.head(10)\n",
    "\n",
    "rupture_summary_asc = rupture_summary.sort_values(\"rupture_ratio\", ascending=True)\n",
    "rupture_summary_asc.to_csv('rupture.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9e32fd6b-4754-4196-9487-ffdc0bb4fc06",
   "metadata": {},
   "outputs": [],
   "source": [
    "merged.to_csv('merged.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "71cd67aa-f4b9-489e-b928-defeca459cb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>Registrar Account - ID</th>\n",
       "      <th>n_ruptures</th>\n",
       "      <th>total_obs</th>\n",
       "      <th>rupture_ratio</th>\n",
       "      <th>max_gap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>200000331</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
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       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>200000361</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
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       "    <tr>\n",
       "      <th>12198</th>\n",
       "      <td>422302</td>\n",
       "      <td>0</td>\n",
       "      <td>240</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
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       "    <tr>\n",
       "      <th>12197</th>\n",
       "      <td>422299</td>\n",
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       "      <td>80</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12191</th>\n",
       "      <td>422288</td>\n",
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       "      <td>1200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>6522</th>\n",
       "      <td>365568</td>\n",
       "      <td>237</td>\n",
       "      <td>240</td>\n",
       "      <td>0.987500</td>\n",
       "      <td>16596.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>200000407</td>\n",
       "      <td>79</td>\n",
       "      <td>80</td>\n",
       "      <td>0.987500</td>\n",
       "      <td>63893.601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6884</th>\n",
       "      <td>365966</td>\n",
       "      <td>79</td>\n",
       "      <td>80</td>\n",
       "      <td>0.987500</td>\n",
       "      <td>2673.873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>366351</td>\n",
       "      <td>258</td>\n",
       "      <td>260</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>1998.948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>200001928</td>\n",
       "      <td>645</td>\n",
       "      <td>650</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>110779.418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12501 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Registrar Account - ID  n_ruptures  total_obs  rupture_ratio     max_gap\n",
       "165                200000331           0        160       0.000000       0.000\n",
       "182                200000361           0         80       0.000000       0.000\n",
       "12198                 422302           0        240       0.000000       0.000\n",
       "12197                 422299           0         80       0.000000       0.000\n",
       "12191                 422288           0       1200       0.000000       0.000\n",
       "...                      ...         ...        ...            ...         ...\n",
       "6522                  365568         237        240       0.987500   16596.971\n",
       "197                200000407          79         80       0.987500   63893.601\n",
       "6884                  365966          79         80       0.987500    2673.873\n",
       "7039                  366351         258        260       0.992308    1998.948\n",
       "603                200001928         645        650       0.992308  110779.418\n",
       "\n",
       "[12501 rows x 5 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rupture_summary_asc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "72332a7e-0ab0-474b-aac7-b52ebbba7a8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3ZVZjvnempKWl4d5774VGo8GGDRvq9G9VamVlZZg8eTLOnj2LN9980+h9CgsLw8svv4z8/Hz06NEDs2bNwvz589G3b1/s3r1bPyxCLv/ra6pWqwUA3HfffVi6dCmCgoLQpk0bPP3003juuedQWFiIL774wmb3SERkCy06WY+Li8P48eMREBAAmUyGzZs3W30OIQSWLVuGzp07Q6lUIjAwEG+99VbDB0tEdsfDwwNTpkzBihUrsH//fty4cQNPPfUUysvL8dhjj6GystKi86hUKsjlcrRt29ZoX7t27SCTyQyWECosLIRMJoO/v7/Fse7fvx9A9VhNNzc3i4+rq9GjR6Ndu3bYsGGDfs3kTZs2oaysTJ/I61h7/1JSqVTw9fU1uU/3fpiK1dPT02ibbgxvTWtKWxoTALPjzc3F5evrazSGuTbl5eX45ptv4O7ujr/97W8G+3TJ++rVq/XbCgsLAQCBgYG1ntuasnW957pozPfudunp6RgxYgRyc3OxadMm/Q9At/Ly8gLw1+t1O5VKpS9jaflby9VXeXk5Jk6ciD179mDhwoVG81bovPHGG/j666/RpUsXbNiwAV988QWCgoJw4MAB/Wt+6781XXwTJkwwOpdu29GjR43KW/o6ERHZoxadrJeUlKBXr1745JNP6nyOZ599FqtWrcKyZctw9uxZbN261WSLCxE1f15eXvj4448RGhqK3NxcnDp1yqLjPD09odVqcePGDaN9OTk5EEIYJAze3t4QQiAzM9Pi2L744gv069cPCxYswIcffmjxcXWlUCgwbdo0ZGVlYdeuXQCqW9nlcrnRGuHW3r85crkcVVVVJveZ+8JuLU9PT+Tk5Jjcp5s0y5JYG5LuetnZ2Sb3m4vL2kQdAH788UcUFBSguLgYbm5ukMlk+kfXrl0BVCdMJ0+eBPBXwnTt2rVaz62bjM2Sstbes66F1lT9aKi6UV9paWkYPnw4MjMz8d133+G+++4zWU7XQ+HChQtG+7KyslBcXGzQi6Gm8rrtTk5O+tbs+igrK8OECRMQGxuLl156CW+//XaN5adPn47Dhw+jtLQUKpUKv/76Kzp27IgLFy6gdevWBhPQdenSBYDpSft028rKyvTbrH2diIjsUYtO1seNG4d///vfmDx5ssn9FRUVeOGFFxAYGAg3NzcMGjRIP7soAJw5cwYrV67Eli1bMGHCBISFhaFfv36Ijo620R0Qkb2RyWQmW64VCoXZVrg+ffoAgMHni45u262zzut+ENy5c6fFcbVq1Qq7du1C//798eyzzzb47Oqm6FrQ161bhytXrmDfvn0YMWKEUcuptfdvTqtWrZCTk2OUkJWUlJj8wq6b+dqa1tE+ffqgtLRUPxShrrE2pJpev5KSEhw9ehQuLi76ZKc+dN2Mp0yZgscee8zooZtlW1fO3d0dERERSE9PN5ss6vTv3x9yuRx79uyBWq2usWxN93zlyhWkpqaiQ4cO8PDwAFDzDwG6LvX1VZf6pJOWloYRI0YgMzMTGzduxMSJE82WHTZsGADT//537NhhUAYABg8eDCcnJ8TGxkIIYVD+8uXLOHfuHO644w6jWeetVVZWhokTJyI2NhYvvPAC3nnnnTqdZ9OmTaioqMDUqVMNto8cORIAkJKSYnSMbptuFn7A+teJiMguSTNU3v4AED/99JPBttmzZ4shQ4aIuLg4cfHiRfGf//xHKJVK/SQ577zzjujcubNYtmyZaN++vQgNDRWPPfaYwcy2RNT8fPrppyIxMdHkvp9++knIZDLh7e0tysvL9dv79+8vnJ2dRVlZmdExutnQIyIiDGad1k3QBEDs27dPv/3kyZNCoVCIgIAAo7XMa5sN/ubNm2LAgAECgFixYoXF92zNOuu3ioiIEG5ubuKVV14RAMTatWuNylh7/+YmC/vnP/9pdA2tVqtf1/32P3m6WbLNrS1e02zwI0eONJgELSMjQ7Rt29bsbPCmrrFnzx4BQCxatMjk9W9nyWzwsbGxBvv+9a9/mZ0N3toJw9LS0oRMJhPt27c3u556QUGBfh15Xf3/5JNPBAAxatQoo9ngy8rKDP5mTpkyRQAQr7zyitG5s7OzjWaDd3Z2FsnJyfoyWq1WP7nhrRP9CSFEly5dhIODg8GEYyqVSgwePLjGCeZMmTlzpgBgsBpDbfXJnLS0NBESEiIcHBzEDz/8UGt5tVotOnToIJRKpUhKStJvLygoEJ07dxZOTk5Gq0TMmDFDADBYteHW12r9+vU1XrO2CebKysr0E7otWLCg1nsQQhj8W9dJSUkR7dq1E56engYTzwlR/ToplUrh6+srrl69qt+uUqlE7969BQCxa9cu/fa6vE634gRzRGQPuM66GRkZGVizZg0yMjIQEBAAAHjhhRewfft2rFmzBm+//TbS0tJw+fJlfP/99/jqq6+g0Wgwf/58PPDAA9i9e7fEd0BEjeW3337Dk08+iY4dO+KOO+5AQEAASkpKkJSUhP3790Mul+O///2vfn1goLpV6OjRoxg3bhzuuusuODk5YejQofrH008/jY8++giRkZG4//77IYTADz/8gKtXr+KZZ57B0KFD9efq0aMH3n//fTzzzDPo3r07Jk2ahNDQUGRlZSEuLg733nuvfl3323l7eyM2NhZjxozB/PnzIYQwuS64KVVVVVi8eLHZ/Q8++KC+K7TOww8/jIULF+Ldd9+Fq6sr7r//fqPjrL1/c+bNm4c1a9Zg9uzZiI2NRdu2bbF//34UFBSgV69e+OOPPwzKjxgxAjKZDC+//DJOnz4NLy8veHt7Y968eWav8fDDD+PHH3/Eli1b0LNnT9x33336ddbz8/OxfPlydOjQodZYG5JcLsfatWsxZswY3HPPPZgyZQpCQ0ORkJCAvXv3Ijw8HEuXLq33dVavXg0hBGbOnGm2C72XlxcmT56M9evXY/PmzZg6dSrmzJmDffv24bvvvkOnTp0wYcIEeHp6IiMjAzt27MAXX3yBSZMmAQD++9//Ijk5GW+99RZ+/fVXjBw5EkIInD9/Hjt37kR2dja8vb3h6emJ//3vf5g2bRoGDRqEqVOnom3btti1axeOHTuGgQMH4sUXXzSI7fnnn8cTTzyBqKgoTJkyBVqtFr/99hsGDBhQ79cGqFt90h2XkZGBwYMH4+TJk/ohBLe69d+dg4MDVq1ahTFjxmDo0KF48MEH4eHhgR9++AGXL1/GsmXLDFqYAWDp0qXYs2cPnnrqKezatQsdO3bEvn37cOjQIYwfPx4PPvigQfnc3Fy88MIL+udqtRq5ubn69eQBYNmyZfrJ75588knExsbCz88PHh4eJj8nHnnkEYO4nn/+eRw/fhwDBgyAj48PLly4gG3btkEul2Pz5s0IDg42OD4sLAz/+c9/8Mwzz6BXr16YPHkylEolfvnlF1y6dAn//Oc/cffdd9frdYqPj9dPoKgblhMfH6+/7zZt2mDZsmVG90ZE1Ggk/anAjuC2lvWff/5ZABBubm4GDwcHB/H3v/9dCCHE448/LgCIc+fO6Y87duyYACDOnj1r61sgIhs5e/asePfdd0V0dLQICwsTzs7OwtnZWYSHh4uZM2eaXNe3qKhIPP7448Lf318oFAqTLaqrV68WAwYMEK6ursLV1VUMGDCgxuXZ9uzZI+677z7h4+MjnJycRFBQkLj//vvFgQMH9GXMtcYWFhaKqKioGtdfvlVtS7fd/hmqk5GRIeRyuQAgpk2bVuM1LL3/mpbh2r17txg0aJBQKpWidevW4uGHHxbZ2dlmW0nXrl0revTooV8W6tbWQ3PHqNVqsWzZMv1xHh4eYtiwYWLLli1GZW3Rsq5z8uRJ8cADD4g2bdoIR0dHERoaKp599lmTy/RZ27Ku0WhEUFCQkMlkIi0trcaysbGxJpd2W7VqlRg8eLBwc3MTrq6uolOnTuLJJ580akEtLCwUr732mujatatQKpXCy8tL9O7dW7z++utGS7rFxcWJcePGCW9vb+Hk5CQ6d+4sXnvtNVFcXGwytk8++UR06tRJODo6ipCQEP050QAt60LUXJ/Mqe3flbkYDh8+LMaOHSs8PT2Fi4uLGDhwoNiwYYPZ61y/fl3MmjVLtGvXTjg5OYlOnTqJN99802BJPx3dv7GaHrfeu+61qulxe7397rvvxJ133il8fHyEo6OjCA4OFrNmzRIXL16s8fXaunWruOuuu4S7u7twdnYW/fr1M7ssnbWvk+7fq7lHXdaaJyKqD5kQtw1gaqFkMhl++ukn/a/7GzduxD/+8Q+cPn1aPw5Nx93dHX5+fli0aBHefvttg7F1ZWVlcHV1xc6dOzl2nYiIiIiIiOqE3eDN6NOnDzQaDXJycnDXXXeZLHPHHXegqqoKqampCA8PBwCcP38eABAaGmqzWImIiIiIiKh5adEt68XFxbh48SKA6uT8vffew4gRI+Dj44OQkBBMnz4dBw4cwPLly9GnTx/cuHEDv//+O3r27Il7770XWq0WAwYMgLu7O95//31otVrMnTsXnp6eVs3STERERERERHSrFp2s7927FyNGjDDaPnPmTKxduxZqtRr//ve/8dVXX+HatWto06YNBg8ejJiYGPTo0QMAcP36dTz99NPYuXMn3NzcMG7cOCxfvhw+Pj62vh0iIiIiIiJqJlp0sk5ERERERERkj+RSB0BEREREREREhpisExEREREREdmZFjcbvFarxfXr1+Hh4QGZTCZ1OERERERERNTMCSFQVFSEgIAAyOWWtZm3uGT9+vXrCA4OljoMIiIiIiIiamGuXLmCoKAgi8q2uGTdw8MDQPWL5OnpKXE01JjUajV27tyJ0aNHw9HRUepwqIVgvSMpsN6RVFj3SCqseySF+tQ7lUqF4OBgfT5qiRaXrOu6vnt6ejJZb+bUajVcXV3h6enJD3GyGdY7kgLrHUmFdY+kwrpHUmiIemfNUGxOMEdERERERERkZ5isExEREREREdkZJutEREREREREdobJOhEREREREZGdYbJOREREREREZGeYrBMRERERERHZmRa3dBsRETUejVYgMT0fOUXl8PVwxsAwHyjkli9RYq/XIiIiIrI1JutERGSStcnw9uRMxGxLQWZhuX6bv5czFo2PwNhI/wa7jq2vRURERCQFJutERGTE2mR4e3Im5qw7DnHb9qzCcsxZdxwrp/c1e5y1Sbctr0VEREQkFY5ZJyIiA7pk+NakFvgrGd6enGmwXaMViNmWYpQ8A9Bvi9mWAo3WsIS117H1tYiIiIikxJZ1IiLSsyQZnr/xD2z94zrK1VqUVlYhR1VhlATfflxmYTn+/UsKojq0hr+XC3w9lVi81fx1ZABe33Iabk4OuFpQhoz8UlzJL8WZ6yqLrtVj0Xa09lDC28UJns4OOJZxs8ZrxWxLQXSEH7vEExERkd1gsk5E1AJYMlZbCIEfj1+tMRkGgDK1Br+eyrI6hjUHLmHNgUsWlRUAcooq8PDqRKuvAwClai1K88twBWUWXSuzsByJ6fmICm9ttJ/j3ImIiEgKTNaJiJqQhp6M7e5u7ZCYno9dZ7Kx60w2ruTXntwCwN/6BmJQmA9cnBxwJb8E/9lxvtZjBrRvhcoqLTILy5FTVGHRdXw9lIgI8ESIjyuCW7mitFKDFbtqv9ayKT0R1sYNhWVq7Dmbg68PZdR6zKs/ncJDg0Mxpns7BLVyBcBx7kRERCQdJutERBKyJvluyMnYMgvL8eS643B2kKO8Sqvf7iCXoUprqsO4oSn9gvWt0BqtwLpDGcgqLDfZ1VwGwM/LGRueiNLfW/yFG5j+Re2t5h882MegtVujFdhwpPZrTe4TpL+Wi6ODRcl6am4J3vw5BW/+nILuAZ4Ib+OGrSeNx7LXNpHdrbGyRZ6IiIjqisk6EZFErEm+6zIDemllFV7bctpkUqtTXqWFj6sj7u7WDnd3a4ch4a0x5v24WpPhgWE++m0KuQyLxkdgzrrjkAEGx+lS00XjIwwS1ajwNvD3crbqOnW91sAwn1qv1dZDiSeGdkBsSjaOXMrH6esqnL6uMlHasnHubJEnIiKi+uJs8EREErBmdvLaJn0TAF7cdBIv/3QSs788gvs+2o/+/45FxOs7cMOC7uYfPdQX/5nSC2Mj/eDp4ohF4yMA/JX86phLhgFgbKQ/Vk7vCz8vZ4Ptfl7OJn9I0CXd1l6nsa71xsTumH1XB2z8ZxSOvDIKTwwNM7rurXTj3OetP461B9Kx52wOUm8Uo6JKw5nniYiIqEGwZZ2IyMYsmXH9Xz+ewrWCMtwsUeP09cJaJ30rKq/C+sNX6hRPbrFhQq9Lhm9vGfarpWV4bKQ/oiP8LO76XdfrNPa1Wrsr0T3Ay+y1b/VbchZ+SzacbE8uA2eeJyIionpjsk5E1EA0WoHD6fk4litD6/R8RHX0NZmQJabn15p8F5Sq8ebPZ6y6/piIdhjapS38PJ3h5+WMazfL8MTXx2o9ztfD2WibtcmwjkIuMzmjujl1vU5jX8vUa2LKvT38oNYIZOSX4nJeKcrUGtQ05L+2meeJiIiIdJisExE1AMMxygp8deGo0RjlcrUGB1Nz8b/96Rads3ewN3oFeaG0UoPvj12ttfwjd4QZJIBd/TzrNC5cx9pkuK5sdR1rrmXJOHc/L2d8OK2vPtkXQmDd4ct4bfPpWs+fU1TzjzVERERETNaJiOqppsnfnlx3HA8PDkWWqhzxF3JRptZYfN7/G9sVUeGtodEKxF/MtclkbFStLq+dTCZDx7YeFp3f0pZ7IiIiark4wRwRUT1YMv7860OXEZuSjTK1Bv5ezvjHoBC0cnUymuxMR4bqmcN1ybctJ2Ojv9TltdO1yNf084d/Db0ZiIiIiHTYsk5EdBtr1se2ZPw5ANzfNxCP3hGG7gGekMlkuKtTG6tabW05GRv9xdrXrqYWeZ2/9Q3ka09ERES1kjRZX7lyJVauXIlLly4BALp3747XX38d48aNM1l+7dq1ePTRRw22KZVKlJdz7B8RNQxL1scuraxCYno+Dqbm4deTli3DNbRzW0QG/jXDeF2Sb1tOxkZ/qctEdqbeWxdHBcrUGqw9cAn39QxAN3/PxgiXiIiImglJk/WgoCAsXboUnTp1ghACX375JSZOnIikpCR0797d5DGenp44d+6c/rlMxtYJImoYtY09v6+nP3KKKpCUcRNqTQ1TfpvQUDOuM+luGky9t72DvTFr7REkpOXhsbVHsHnuHfD15Nh1IiIiMk3SZH38+PEGz9966y2sXLkShw4dMpusy2Qy+Pn52SI8ImpBLBl7/vMtreiB3i4YEt4aUR1aY+n2s7hRVGHXM66T7Zl6bz+d3g+TVx5A2o0SzP7qKDY8MRiuThyRRkRERMbs5huCRqPB999/j5KSEkRFRZktV1xcjNDQUGi1WvTt2xdvv/222cQeACoqKlBRUaF/rlKpAABqtRpqtbrhboDsju795fvcsmm0Akcv30ROUQV8PZToH9rKZMv1/ou5Fo09fyQqBNMHhSDEx0Xfs8dJATy94Q+z489fGdcFWk0VtJZPBE/NlKsj8Pn0Ppjy2WGcvFqIZ79NwscP9oK8nmPY+XlHUmHdI6mw7pEU6lPv6nKMTAhhXV/OBnbq1ClERUWhvLwc7u7uWL9+Pe655x6TZRMSEnDhwgX07NkThYWFWLZsGeLi4nD69GkEBQWZPGbx4sWIiYkx2r5+/Xq4uro26L0QkX35I0+GHy/JUVD5VyLk7STwt/Za9GotUFgJpNyUIaVAhtM3ZdCI2hOmGZ006NfG+GOztmsR3SpVBXySooBGyDAyQIuJoVqpQyIiIqJGVFpaioceegiFhYXw9LRs3hrJk/XKykpkZGSgsLAQmzZtwqpVq7Bv3z5ERETUeqxarUa3bt0wbdo0vPnmmybLmGpZDw4ORm5ursUvEjVNarUasbGxiI6OhqOjo9ThkI3tOJ2Npzf8YbJrOgCE+LggI7/M6vOum9Ufg8x0addoBQ6l3sDuhGMYGdUPg8PbctZvMmvLH5l4YdMpAMC/J0Zgan/TPzpbgp93JBXWPZIK6x5JoT71TqVSoU2bNlYl65J3g3dyckLHjh0BAP369cORI0fwwQcf4LPPPqv1WEdHR/Tp0wcXL140W0apVEKpVJo8lv+wWwa+1y2PRivw1m/nzCbqAPSJeq8gL4zs2g7DOrfFk+uOIVtVXuPY86iOvmYTcEcAd3TyReEFgTs6+bLeUY0e6B+CqwXleH/XBSzadgbt23ggKrx1vZbY4+cdSYV1j6TCukdSqEu9q0s9lTxZv51WqzVoCa+JRqPBqVOnzHabJ6KWydK1z1dO74txtyyRtniC6fWxza19TlRfz97dCZdyS7D5xHXM/uoI3JUOyC2u1O+/fdlAIiIiajnkUl584cKFiIuLw6VLl3Dq1CksXLgQe/fuxT/+8Q8AwIwZM7Bw4UJ9+TfeeAM7d+5EWloajh8/junTp+Py5cuYPXu2VLdARDak0QokpOZhy4lrSEjNg0Zr2AauKldj/eEMLPzxpEXnq6wyHCesWx/bz8twOS0/L2esnN6XCRM1OJlMhnce6Inwtm4oV2sNEnWgetnAOeuOY3typpkzEBERUXMlact6Tk4OZsyYgczMTHh5eaFnz57YsWMHoqOjAQAZGRmQy//6PeHmzZt4/PHHkZWVhVatWqFfv344ePCgRePbiahp256ciZhtKQYt5v5eznjt3gh4ujji+2NXsD05CxVVlk/U1VBrnxPVh4NcjqLyKpP7BKp7dsRsS0F0hB/rIRERUQsiabL+xRdf1Lh/7969Bs9XrFiBFStWNGJERGSPtidnYs6640ZjyTMLy/HU+uMG2zr5uuP+foFYHX+Ja59Tk1D9w5D54V8C1XU9MT2f9ZKIiKgFsbsx60REt9JoBWK2pdQ4WZwMwLRBwZjaPwQ9g7wgk8nQvrUbx59Tk5BTVPv8CtaUIyIiouZB0jHrRES1sWSyOAFgfM9A9Ar2hkxWnYBz/Dk1FaaGY9SnHBERETUPbFknIrslhEDc+RsWlTXV6sjx59QUDAzzgb+XM7IKa1420NywDSIiImqemKwTkV06caUA7/x2FglpeRaVN9fqyPHnZO8UchkWjeeygURERGSIyToRSUKjFSZbvC/mFGHZjvPYfjoLAOAol8HJQY6SSo3J87DVkZoD3bCN21c88HZ1xJK/9eCwDSIiohaIyToR2ZypZdh8PZTo5OuOhLQ8aAUglwF/6xuE50Z1QvK1QsxZVz3rO1sdqbm6ddjG6vg0xJ7JQb/QVkzUiYiIWigm60RkU+aWYcspqtAvXzU6oh1eGNMFndt5AACCWrmabHX083LGovERTGao2dAN2/Bxc0LsmRzsO38DBaWV8HZ1kjo0IiIisjEm60RkM5Ysw9ba3Qkrp/czainnZHHUknTx80BXPw+czSrCb8lZmDYwROqQiIiIyMa4dBsR2Ywly7DlFVciMT3f5D5dq+PE3oGICm/NRJ2atUl9AgEAm5OuSRwJERERSYHJOhHZRJVGi61/WJZ0mFqGjailGd8rAACQeCkf1wvKJI6GiIiIbI3JOhE1KiEEfj2ViTHvx+HbxCsWHWNuGTailiTQ2wUDw3wgBLDtj+tSh0NEREQ2xjHrRFQv5pZgE0Ig7kIulu04h1PXCgEA3i4O0AiguLzK5Lh1LsNGZGhi7wAkpudjy4nr+OewcKnDISIiIhtisk5EdWZqCTZ/L2dMHxyCuPO5OPzn2HM3JwUeu6sDHr8rDAcu5mLOuuOQgcuwEdXmnkh/LN56GimZKlzILkKnP1dIICIiouaP3eCJSE+jFUhIzcOWE9eQkJoHjdb8vO26JdhunzAus7Ac/9lxHofT8+HkIMdjd4Yh7qURWBDdGR7Ojhgb6Y+V0/vCz8uwq7uflzNWTu/LZdiIbtHKzQnDOrcFAGw5wa7wRERELQlb1okIgPlWclPrmFuyBJurkwI7nhuKYB9Xo31cho3IchN7B2LXmRxs+eManh/dGTIZ/50QERG1BEzWiUjfSn578p1VWI45647jw2l90MXPAxdzinEhuxiH0vNqXYKttFKDqzfLTCbrwF/LsBFRzUZ1awc3JwWu5JfheEYB+oW2kjokIiIisgEm60QtXE2t5LptT3+bVKdzcwk2ovpzcVJgTHc//Jh0DVtOXGOyTkRE1EJwzDpRM2Xp+PPE9PxaW8kBwNlRjt7B3nigXxAeGhhsUQxcgo2oYUzoXb3m+s8nM6HWaCWOhoiIiGyBLetEzZAl48+v3izFzyczse7QZYvO+c7femJin0AA1T8E7Dl3A1mF5VyCjcgG7uzYBq3dnJBXUon4i7kY0cVX6pCIiIiokTFZJ7Jz5tYxN6em8edPrjuOKf2CkHqjGMczCqyKw9fzr1ZyhVyGReMjuAQbkY04KOS4r6c/vky4jC1J15isExERtQBM1olsqC6Jt6UztOvOX9v48++PXQUAyGTA4LDWuKenHz76/SJuFFVY1UquW4Lt9vj8aoiPiOpuYp9AfJlwGTtTslFaWQVXJ/4JJyIias74l57IRqxNvGubof32NcmFENienGnR+POZUaGYO6KjvrW8rbuyTq3kXIKNyHb6BHsjxMcVGfmliE3JxsTegVKHRERERI2IyTqRDVibeFvSQr7wx1M4n12E9NxSXMwpRtqNYpRUaiyKp29oK4Nu7fVpJecSbES2IZPJMLF3AD7afRFbT1xnsk5ERNTMMVknamS1Jd4yAIu3piAiwAtF5WoUlqpx5FLtM7TfLFXjvdgLBtvkMsDMpO8GTM3SzlZyIvunS9b3nb+B/JJK+Lg5SR0SERERNRIm60SNrLal0QSALFU5hr67x+pzDwhtheFdfRHe1h0dfd0Q6O2Kkcv31nmWdraSE9m3jr4e6B7gidPXVfj1VCamDw6VOiQiIiJqJFxnnaiR5RTVPoYcABQyGdp6KNHJ1x1d2rlbdMyC0V0wd0RHjI30Q0dfD7g4KbBofASAv8ab63CWdqLmYdKf3d+3nLgmcSRERETUmJisEzUyU13OTVk3eyCOvDIKsQuG4ddnh8Lfy9ko4daRoXpyOlMt5Lrx535ehtf183I2GhtPRE3P+F4BkMmAI5du4urNUqnDISIiokbCbvBEjaxnkBecHeQor9Ka3P9X1/S/up/Xdx1zjj8nar78vJwxOKw1EtLysPWP63hqeEepQyIiIqJGwJZ1okaUX1KJGasTa0zUAdOJd31byHXjzyf2DkRUeGsm6kTNyMTeAQCALUnXJY6EiIiIGgtb1okayeW8Ejyy5gjSc0vg6eyA2Xd1wLeJGVYtjcYWciIyZVykP17fchrnsotwNkuF8NYujX5NjVZY/Vlkq2OIiIiaI0mT9ZUrV2LlypW4dOkSAKB79+54/fXXMW7cOLPHfP/993jttddw6dIldOrUCe+88w7uueceG0VMZJkTVwrw2NojyCupRKC3C76cNQAdfT0wd0RHq7+EcoZ2Irqdl6sjhndpi50p2dicdB3Pjwpv1OttT85EzLYUgx8b/Wv5sdFWx+gwySciouZG0m7wQUFBWLp0KY4dO4ajR49i5MiRmDhxIk6fPm2y/MGDBzFt2jQ89thjSEpKwqRJkzBp0iQkJyfbOHIi82JTsvHg5wnIK6lEZKAnfnpqCDr6egBg13QiajiT+lTPCr/tj+vQak0t1mieRiuQkJqHLSeuISE1D5oajt+enIk5644bLUGZVViOOeuOY3typmTH3Hrsne/sxrT/HcKzG05g2v8O4c53dtd4DBERkb2TtGV9/PjxBs/feustrFy5EocOHUL37t2Nyn/wwQcYO3YsXnzxRQDAm2++idjYWHz88cf49NNPbRIzkY6pVpxvDl/G4q2noRXA8C5t8clDfeGm5GgTImp4I7v6wl3pgGsFZTiWUWDxcda0Xmu0AjHbUmAqlReonncjZlsKoiP89D8+2uqYW+9nzrrjRsfqkvya5vhgazwREdkzu8kiNBoNvv/+e5SUlCAqKspkmYSEBCxYsMBg25gxY7B582az562oqEBFRYX+uUqlAgCo1Wqo1er6B052S/f+Nsb7vON0Nv7961lkqf6qW25OCpRUagAAf+8XiJjx3eAgF6xnLUxj1juiWykAjI7wxY9J1/G//WkIFjJ4XcjB4PC2ZhPOHaez8fSGP8wmth892AtjurcDAJRUVGHbyUyjlu5bCQCZheW4e/leuCsdIJMBxRVVFh0z7v198HRxBAAUlVt2zH+2p6BvSCt4uzjCy8UR7s4OWLz1dC1J/mkM72Tck8nU57ifpxKv3tNV/xpQ7fiZR1Jh3SMp1Kfe1eUYmRDCur5zDezUqVOIiopCeXk53N3dsX79erNj0J2cnPDll19i2rRp+m3//e9/ERMTg+zsbJPHLF68GDExMUbb169fD1dX14a5CWpR/siTYfV53QgS4y/EfVtrMKOTgIyNM0TUyH7NkGHHNYXBNm8ngb+116JXa8M/71oBxBxXoKASMPXZBQg4yYEQN4EbFTIUVjafD7HHu2gQ6fPX62H+c7y6zKzOxq8fERFRfZSWluKhhx5CYWEhPD09LTpG8pb1Ll264MSJEygsLMSmTZswc+ZM7Nu3DxEREQ1y/oULFxq0xqtUKgQHB2P06NEWv0jUNKnVasTGxiI6OhqOjo4Nck6NVmDJ8jgAFWbLZFa5Yuy4oexK2UI1Rr0jMmXH6WzsTPjDaHthpQxrziv0reQlFVW4erMMv5/NQUFlag1nlKFSC1ws+uuzy8NZgaJyTa2xvBDdEV38qufmOJtZhOW7LtZ6zDMjwtGpnTuEELiQU4yP9qTVekxkQPXf7YIyNQrL1Cgqr6r1GAD43zkFPJ0dEOjtgkBvZxy8lA/A1H3JIAPwW7YrXvoHP8ctwc88kgrrHkmhPvVO18PbGpIn605OTujYsSMAoF+/fjhy5Ag++OADfPbZZ0Zl/fz8jFrQs7Oz4efnZ/b8SqUSSqXSaLujoyP/YbcQDfleH03NM+gyaUpmYQWSrhZxBvcWjp8x1Jg0WoG3fjtntvs3AMz//iQ8tzkgr8S6bnf/GBSC+/sFIbyNO9ydHXDnO7uRVVhu8loyVC9BOWdEZ31iO7KbwPojV2s95tnoLgZj1jcdv17rMVvm3WmQQMdfuIHpXyRadF+q8iqosopwJquoxnLVXe75OW4tfuaRVFj3SAp1qXd1qaeSzgZvilarNRhjfquoqCj8/vvvBttiY2PNjnEnamg5RebHVNalHBFRXSSm59c4xhsA1BqhT9S9XR3RoY2bRee+r2cA+oa0gperIxRyGRaNr+7pdnsbs+75ovERBgm0rY4BgKjwNvD3cjbZqV93rL+XM04tHo3Y+UOx5pEBmNIvyExpQ+Y+x62ZSZ+IiKg+JG1ZX7hwIcaNG4eQkBAUFRVh/fr12Lt3L3bs2AEAmDFjBgIDA7FkyRIAwLPPPothw4Zh+fLluPfee7FhwwYcPXoUn3/+uZS3QS2Ir4dzg5YjIqoLS38QfHFMF0wfHAovF0dotMKiVvKBYT4G28dG+mPl9L5GM8j71bD+ua2O0SX5c9YdhwwwuK9bk3wPZ0d4ODuiUzsPODsq8P2xq6ZeLgMf7b4AjVbgnh7+cHasnhegPuvAExERWUvSZD0nJwczZsxAZmYmvLy80LNnT+zYsQPR0dEAgIyMDMjlfzX+DxkyBOvXr8err76Kl19+GZ06dcLmzZsRGRkp1S1QCzMwzAdt3J2QW1xpcr+5L7tERA3J0h8E+4a0gtefM65bmtiaGqc9NtIf0RF+Vi1zZstjrEnyB4b5wN/L2eyPFjoXc0qw4Ls/8O9fzuDv/YMR1MoFr21OttkScVxWjoiIJE3Wv/jiixr3792712jblClTMGXKlEaKiKhmlVVaOMpNjx6p7csuEVFDqS3hbMhWch2FXGb1GG5bHWNNkm/JjxZL7++JG0Xl+OZwBjILy/HpPvMT81myDry1rfFswSciIsAOJpgjakoWbz2NTFU5PJ0d4OyoQE7RLevz8osUEdmIrVvJmwJrknxLf7R4clg4dp3Jwce7LyD5uvlZfHXrwCem5xvEsD05E3PWHbeqNb4uxxARUfPEZJ3IQltOXMPGo1cgkwGfPtwPg8JaN7svu0TUdNi6lby5seRHCweFHGMj/VBRpcGzG07Ues7/++EP9Alphfat3RDq44q3fj1jdsZ+U63xGq1AzLYUq44hIqLmi8k6kQXSc0vw8o+nAABPj+yEIeFtAKDFf9klImnpEs6EiznYuf8wRt81CFEdfZnIWcjSHy0snSMgI78MGfllFpXVtcbP+OIwWrtXLzF7o7iixln+zbXgExFR88RknagWFVUaPP3tcZRUajAozAfP3t1J6pCIiPQUchkGhfkg74zAIPbwaRSWzBHQxl2JmAkRuJxfhku5JTh6OR+pN0pqPfeB1Dyr4+HyoERELQOTdaJaLPn1LJKvqeDj5oQPHuzDL8JERC2MJXMEvDmpu8HQg4TUPEz736Fazz19cAjC2rhDBuBSbgm+OnS51mMc+HeIiKhFYLJOVIMdp7Ow9uAlAMDyKb3g58X104mIWqKGXiJON2N/zIRIgzHrsWeya11Wbv7GE0i+rsKTw8L1S/MREVHzw2SdyIxrBWV4adNJAMATQztgRFdfiSMiIiIpNfQScbfP2F/bMQJAeFs3pN4owcq9qfg2MQPzRnTEw1GhUDooAHB9diKi5oTJOtGfbv2C09rNCe/FnkdhmRq9gr3xwuguUodHRER2oDGWiLPmmDHd/bDrTA7e2X4WF3OK8e9fzmDtwUt4YXQXOCnkePMX69dnZ4JPRGSfmKwToXpd29u/GAGAs6McH0/rAycHuUSRERFRU1aXde1rOyY6oh1GdGmLTceuYsWu87h6swzPbTxh8ly1rc9u6u+fJQk+ERE1Pibr1OJtT87EnHXHTY4PLFdrcfp6IYJ9XG0eFxERNQ91Wde+tmMcFHI8ODAEE3sHYlV8Gt7bed7q9dnN/f2rLcEnIiLbYHMhtWgarUDMthSzE/novuBotDVN9UNERCQNFycF+of61DghnW599ie+PorP41Kx43QWUq6rsHjrabMJPsC/f0REUmPLOrVoien5Rl3fb6X7gpOYnm91qwgREZEtWLru+u9ncvD7mRyLyvLvHxGR9JisU4tm6RccS8sRERHZmq+HZcuKTu4TgCotkJFXgvPZRShTa2s9hn//iIikw2SdWjRLv+BYWo6IiMjWLF3TfdmU3vox6wmpeZj2v0O1nrukosrkdt0M8pkFJUgrlEGjFbBkxXfOPE9EZDkm69SidfJ1h6NCBrXG9Jg83RecgWE+tg2MiIjIQnVZ0722BF/n5Z+SsfnEdcy6IwzREe2gkMtMzCCvwKblcVg8oXuNE9Jx5nkiIutwgjlqsbIKyzHtf4dqTNQB4y84RERE9ka3Prufl2FPMD8vZ5OzuusSfOCvv3c6uucD2reCg1yGxPR8PLnuGIYv24MXvv8Dc9YdN5rvJVtVgTnrjmN7cqbJ+HQzz99+nG7meXPHabQCCal52HLiGhJS8zjhHRG1KGxZpxbpUm4Jpn9xGFdvlsHP0xn/HNYBn8elGXyJ8OOv/URE1IRYu6a7LsG/vbX71r9/WYXl+PrQJXxzOANX8stwJf+qyXPVtERcTSuv1La0HFviiaglY7JOLc6ZTBUe/iIRucUVaN/aFV8/NgjBPq6YEdWe4+iIiKhJs3ZN99oSfD8vZ7w4pivmjeiE5TvPYVV8utlz6WaQf2DlQXi6OEIrBDRagZsllRatvPJtYgaiI9qhjbsSsSlZXAOeiFo8JuvUohy7fBOPrkmEqrwKXf088NVjA/WTx1n7BYeIiKg5sOTvn4uTAj2CvCw6X9KVgjrF8ermZLy6ORm638mtbYknImpumKxTi7H/wg088dUxlKk16BfaCqtnDoCXqyVz1xIREZGlK6P8c2gHdGrnAYUckMtkSL1RjA9/v1jrca1cHaEqr6p1XDrXgCeiloLJOjU7ppaT2XUqE89sSIJaI3BXpzb47OF+cHVi9SciIrKUpUvEvTS2q9GY9e+PXq31uPj/GwkA+ObwZby+5XSt8Wz94xr6hHjD2VFhtI9LxBFRc8BshZoVU8vJfLVkD4rKqyAA3NvDH+9N7QWlg/EfdiIiIjKvLkvE1eW4Tr4eFsXzbeIV7DidjQcHBGP64FAEeLsA4MR0RNR8cOk2ajbMLQuj+jNRvyO8NT6c1oeJOhERUR2ZXyJOWeOkb9YsLadrwTfXDi4D4OHsgAAvZ+SXVOK/e1Nx17t7MPeb4/h494U6LRFHRGSP2LJOzUJNy8LopOWW2CweIiKi5urWGeQzC0qQdvoE5k0dCmelk8XH1dQ93ZKW+P880BOjurXDrjM5WHswHYfS8vHLqUz8csp0Mm7JxHTsOk9E9obJOjULien5NS4LA3AyGiIiooaim0FerfbEr1eTLE5qLV15xZI14KvL+WFspB/OZKrwnx1nsfvsDbPnrGliOnadJyJ7xGSdmoWcopoTdWvLERERkbQsbYkHgG7+npjYO7DGZF3ny4OXUF6lQZ9gb3i7OumH0XFNdyKyN0zWqVmwdDkZS8sRERGR9CxtiQcs/xu//XQWtp/OAgCEtXZFlsr0LPVc052IpMYJ5qhZsGQyGn+v6l/kiYiIqPmp7bsAAHi5OGBy7wB0aOMGAEjPK0WZWmu2/K1d54mIbI3JOjULusloTKlpORkiIiJqHm79LnD7X3vZn4937u+JFQ/2we4XhiPptWj8c1gHi87NYXREJAVJk/UlS5ZgwIAB8PDwgK+vLyZNmoRz587VeMzatWshk8kMHs7O7NpM1WPb/j050mh7bcvJEBERUfNgzRJxrdycMLyzr0Xn5TA6IpKCpGPW9+3bh7lz52LAgAGoqqrCyy+/jNGjRyMlJQVubm5mj/P09DRI6mUytpZSNXVVdVe2ru088MTQ9hYvJ0NERETNgzUT0+m6zmcVmh63LkN1os9hdEQkBUmT9e3btxs8X7t2LXx9fXHs2DEMHTrU7HEymQx+fn6NHR41QTtTsgEA9/cLwvie/lYtJ0NERETNg6UT09W0pjv+fM5hdEQkFbuaDb6wsBAA4ONT86+XxcXFCA0NhVarRd++ffH222+je/fuJstWVFSgoqJC/1ylUgEA1Go11Gp1A0VO9qCwTI3Df04AM6Jza/37y/eZbIn1jqTAekdSaQ517+4ubfDRg73w71/PIktVYbDPxVGOSH/3Jn1/zVVzqHvU9NSn3tXlGJkQwlSvH5vTarWYMGECCgoKEB8fb7ZcQkICLly4gJ49e6KwsBDLli1DXFwcTp8+jaCgIKPyixcvRkxMjNH29evXw9XVtUHvgaR15IYM6y4q4OcisLC3RupwiIiIqAnRCiBVJYNKDbg7AFsvy3G1VIYIby2e6KoFR10SUX2UlpbioYceQmFhITw9PS06xm6S9Tlz5uC3335DfHy8yaTbHLVajW7dumHatGl48803jfabalkPDg5Gbm6uxS8SNQ3zvj2BHSk5mDMsDAtGdYJarUZsbCyio6Ph6OgodXjUQrDekRRY70gqzbnuXcguxsSVCVBrBJZM7o4H+gZKHRLdojnXPbJf9al3KpUKbdq0sSpZt4tu8PPmzcPPP/+MuLg4qxJ1AHB0dESfPn1w8eJFk/uVSiWUSqXJ4/gPu/koV2uw/2IeAGBcjwCD95bvNUmB9Y6kwHpHUmmOdS8iqBWeH90FS387i7d/PYdhXdohwNtF6rDoNs2x7pH9q0u9q0s9lXTpNiEE5s2bh59++gm7d+9GWFiY1efQaDQ4deoU/P25LFdLdjA1F6WVGvh5OqNHoJfU4RAREVEz8PhdHdAnxBtFFVX4vx9Owk46pBJRCyFpsj537lysW7cO69evh4eHB7KyspCVlYWysjJ9mRkzZmDhwoX652+88QZ27tyJtLQ0HD9+HNOnT8fly5cxe/ZsKW6B7MTO09WzwEdHtONSfkRERNQgFHIZlk3pBaWDHPsv5OLbxCtSh0RELYikyfrKlStRWFiI4cOHw9/fX//YuHGjvkxGRgYyMzP1z2/evInHH38c3bp1wz333AOVSoWDBw8iIiJCilsgO6DRCuw6U52sj+7eTuJoiIiIqDkJb+uOF8d0AQC89UsKruSXShwREbUUko5Zt6Qr0d69ew2er1ixAitWrGikiKgpOnHlJnKLK+GhdMCgsNrXVCUiIiKyxqN3hGHH6SwcuXQTL206iW9mD4Kca68TUSOTtGWdqCHsTKluVR/R1RdODqzSRERE1LAUchn+80AvuDgqkJCWh68PXZY6JCJqAZjZUJMmhNCPV2cXeCIiImos7du44V/jugIAlv52FpdySySOiIiaOybr1KSl3ihGem4JHBUyDOvcVupwiIiIqBl7eHAoojq0Rplagxc3/QGNlrPDE1HjYbJOTZquC/yQ8DbwcOYam0RERNR45HIZ3n2gJ9ycFDhy6Sa+iE9DQmoetpy4hoTUPCbvRNSgJJ1gjqi+2AWeiIiIbCnYxxWv3BuBl386hbd/PWuwz9/LGYvGR2BspL9E0RFRc2Jxsh4XF2dRuaFDh9Y5GCJrZKvKceJKAQBgVDcm60RERGQbrVxN9+bLKizHnHXHsXJ6XybsRFRvFifrw4cPh0xWvUSFuSXXZDIZNBpNw0RGVAvd2uq9g73RztNZ4miIiIioJdBoBd74OcXkPgFABiBmWwqiI/yg4PJuRFQPFifrrVq1goeHBx555BE8/PDDaNOmTWPGRVQrXRf46Ai2qhMREZFtJKbnI7Ow3Ox+ASCzsByJ6fmICm9tu8CIqNmxeIK5zMxMvPPOO0hISECPHj3w2GOP4eDBg/D09ISXl5f+QWQLReVqJKTmAQDGcLw6ERER2UhOkflEvS7liIjMsThZd3JywtSpU7Fjxw6cPXsWPXv2xLx58xAcHIxXXnkFVVVVjRknkYF952+gUqNFhzZuCG/rLnU4RERE1EL4elg29M7SckRE5tRp6baQkBC8/vrr2LVrFzp37oylS5dCpVI1dGxEZt3aBV43lwIRERFRYxsY5gN/L2eY+/YhQ/Ws8APDfGwZFhE1Q1Yn6xUVFVi/fj1GjRqFyMhItGnTBr/88gt8fPiBRLZRWaXFnnM5ALhkGxEREdmWQi7DovERAGA2YV80PoKTyxFRvVk8wVxiYiLWrFmDDRs2oH379nj00Ufx3XffMUknmzucnoei8iq0cVeid3ArqcMhIiKiFmZspD9WTu+LmG0pRpPNTe4TyGXbiKhBWJysDx48GCEhIXjmmWfQr18/AEB8fLxRuQkTJjRcdEQm6LrAj+rmy1+tiYiISBJjI/0RHeGHxPR85BSVI+W6Cp/FpeFAai4qq7RwcqjTaFMiIj2Lk3UAyMjIwJtvvml2P9dZp8YmhEBsSnWyzi7wREREJCWFXKZfnm1spB9+SrqGbFUFtpy4hin9gyWOjoiaOot/8tNqtbU+mKhTYzt1rRBZqnK4OikwJLyN1OEQERERAQCUDgrMujMMAPC//WnQaoXEERFRU8f+OdSk6FrVh3VuC2dHhcTREBEREf3loUEhcFc64Hx2Mfaez5E6HCJq4izuBv/hhx+a3O7l5YXOnTsjKiqqwYIiMkc3Xp1d4ImIiMjeeDo7YtrAYPxvfzo+25eGkV35fYWI6s7iZH3FihUmtxcUFKCwsBBDhgzB1q1bOTs8NZrLeSU4l10EhVyGkV34x4+IiIjsz6w7w7DmwCUcTs/HiSsF6B3sLXVIRNREWdwNPj093eTj5s2buHjxIrRaLV599dXGjJVaOF0X+EFhPvBydZQ4GiIiIiJj/l4umNA7AADweVyqxNEQUVPWIGPWO3TogKVLl2Lnzp0NcToik/Rd4CPYqk5ERET264mhHQAA25OzcCm3ROJoiKiparAJ5kJCQpCVldVQpyMykFdcgaOX8wEAo5isExERkR3r6ueJ4V3aQiuAVfFpUodDRE1UgyXrp06dQmhoaEOdjsjA72dzoBVA9wBPBLVylTocIiIiohr9c2g4AOD7o1eRV1whcTRE1BRZPMGcSqUyub2wsBDHjh3D888/j5kzZzZYYEQAoNEKJKbn46uDlwAAo7qxVZ2IiIjs3+AOPugZ5IWTVwvxZcJlLIjuLHVIRNTEWJyse3t7QyaTmdwnk8kwe/Zs/Otf/2qwwIi2J2ciZlsKMgvL9du+OXwZ3fw9MDbSX8LIiIiIiGomk8nwz6HhmLv+OL5OuIQnh3WAq5PFX72JiCxP1vfs2WNyu6enJzp16gR3d/cGC4poe3Im5qw7DnHb9rziSsxZdxwrp/dlwk5ERER2bWykH0J8XJGRX4rvj17FzCHtpQ6JiJoQi5P1YcOG1VomOTkZkZGR9QqISKMViNmWYpSoA4AAIAMQsy0F0RF+UMhN9/YgIiIikppCLsPjd4XhtS2nsSo+Df8YFAIHRYNNGUVEzVy9Py2Kiorw+eefY+DAgejVq1dDxEQtXGJ6vkHX99sJAJmF5UhMz7ddUERERER18EC/YPi4OeFKfhl+S+bKSURkuTon63FxcZg5cyb8/f2xbNkyjBw5EocOHWrI2KiFyikyn6jXpRwRERGRVFycFJgRVb1i0udxaRDCVN9BIiJjViXrWVlZWLp0KTp16oQpU6bA09MTFRUV2Lx5M5YuXYoBAwZYdfElS5ZgwIAB8PDwgK+vLyZNmoRz587Vetz333+Prl27wtnZGT169MCvv/5q1XXJvvl6ODdoOSIiIiIpzYhqD2dHOU5dK0RCWp7U4RBRE2Fxsj5+/Hh06dIFJ0+exPvvv4/r16/jo48+qtfF9+3bh7lz5+LQoUOIjY2FWq3G6NGjUVJSYvaYgwcPYtq0aXjssceQlJSESZMmYdKkSUhOTq5XLGQ/Bob5wN/LGeZGo8sA+Hs5Y2CYjy3DIiIiIqoTHzcn/L1/MADgs31pEkdDRE2Fxcn6b7/9hsceewwxMTG49957oVAo6n3x7du345FHHkH37t3Rq1cvrF27FhkZGTh27JjZYz744AOMHTsWL774Irp164Y333wTffv2xccff1zveMg+KOQyLBofYXKfLoFfND6Ck8sRERFRkzH7zg6Qy4B9529g45EMbDlxDQmpedBo2S2eiEyzeDb4+Ph4fPHFF+jXrx+6deuGhx9+GA8++GCDBlNYWAgA8PEx32KakJCABQsWGGwbM2YMNm/ebLJ8RUUFKioq9M9VKhUAQK1WQ61W1zNiaix3d2mDWXeE4osDlw22+3kp8cq4rri7S5ta3z/dfr7PZEusdyQF1juSCuue5fw9HdE7yAvHrxTi/344pd/u56nEq/d0xZju7SSMrulh3SMp1Kfe1eUYmbBylouSkhJs3LgRq1evRmJiIjQaDd577z3MmjULHh4eVgego9VqMWHCBBQUFCA+Pt5sOScnJ3z55ZeYNm2aftt///tfxMTEIDs726j84sWLERMTY7R9/fr1cHV1rXO81Pg2pMqRkCNHr1Za9Goj4OkIhHsKsEGdiIiImpo/8mRYfV4OGA30q/4qPquzFr1as5WdqLkqLS3FQw89hMLCQnh6elp0jNXJ+q3OnTuHL774Al9//TUKCgoQHR2NrVu31ulcc+bMwW+//Yb4+HgEBQWZLWdtsm6qZT04OBi5ubkWv0hke0IIjHhvP64VlGPVw30wrHNbq8+hVqsRGxuL6OhoODo6NkKURMZY70gKrHckFdY9y2i0AsOXxyFLVWFyvwzVvQf3LBjKYX4WYt0jKdSn3qlUKrRp08aqZN3ibvCmdOnSBe+++y6WLFmCbdu2YfXq1XU6z7x58/Dzzz8jLi6uxkQdAPz8/IyS8uzsbPj5+Zksr1QqoVQqjbY7OjryH7YdS71RjGsF5XBSyDGkky8cHeteVflekxRY70gKrHckFda9mh1NzTObqAPVbeuZhRVIulqEqPDWtgusGWDdIynUpd7VpZ7WeZ31WykUCkyaNMnqVnUhBObNm4effvoJu3fvRlhYWK3HREVF4ffffzfYFhsbi6ioKKuuTfZt//kbAID+7VvB1alevykRERERSSqnqLxByxFRyyBpFjR37lysX78eW7ZsgYeHB7KysgAAXl5ecHFxAQDMmDEDgYGBWLJkCQDg2WefxbBhw7B8+XLce++92LBhA44ePYrPP/9csvughrf/Qi4AYGgdur8TERER2RNfD+cGLUdELUODtKzX1cqVK1FYWIjhw4fD399f/9i4caO+TEZGBjIzM/XPhwwZgvXr1+Pzzz9Hr169sGnTJmzevBmRkZFS3AI1gsoqLRLS8gAAd3VqI3E0RERERPUzMMwH/l7ORlPL6cgA+Hs5Y2CY+RWRiKjlkbRl3ZK57fbu3Wu0bcqUKZgyZUojRET24Njlmyit1KCNuxLd/DgJIBERETVtCrkMi8ZHYM6645BBN/+7oUXjIzi5HBEZkLRlnciUuAvV49Xv6tQGcv7RIiIiomZgbKQ/Vk7vCz8v467uT40Ix9hIfwmiIiJ7ZlHLujUTx02YMKHOwRABwP5bknUiIiKi5mJspD+iI/yQmJ6PnKJy7DydhV9OZeH45QKpQyMiO2RRsj5p0iSLTiaTyaDRaOoTD7VwecUVSL6mAgDcyWSdiIiImhmFXKZfnm1Aex/sOJ2NhLQ8nLpaiB5BXhJHR0T2xKJu8Fqt1qIHE3Wqr/iL1bPAd/P35IyoRERE1KwFeLtgfK8AAMBncakSR0NE9oZj1smuxJ3/c8k2tqoTERFRC/D4XR0AAL+eysSV/FKJoyEie1Kn2eBLSkqwb98+ZGRkoLKy0mDfM8880yCBUcsjhNCPV+f66kRERNQSRAR44q5ObbD/Qi6+iE/H4gndpQ6JiOyE1cl6UlIS7rnnHpSWlqKkpAQ+Pj7Izc2Fq6srfH19maxTnZ3LLkJOUQWcHeXoF9pK6nCIiIiIbOKJoR2w/0IuNh65gudGdYK3q5PUIRGRHbC6G/z8+fMxfvx43Lx5Ey4uLjh06BAuX76Mfv36YdmyZY0RI7UQ+//sAj+4Q2s4OyokjoaIiIjINu7s2Abd/D1Rptbgm8MZUodDRHbC6mT9xIkTeP755yGXy6FQKFBRUYHg4GC8++67ePnllxsjRmoh/lpfnV3giYiIqOWQyWR4YmgYAGDNgUsoV3PSZiKqQ7Lu6OgIubz6MF9fX2RkVP/65+XlhStXrjRsdNRilKs1SEzPB8DJ5YiIiKjlua9nAAK8nJFbXIEtJ65JHQ4R2QGrk/U+ffrgyJEjAIBhw4bh9ddfxzfffIPnnnsOkZGRDR4gtQyJ6fmoqNLC38sZHX3dpQ6HiIiIyKYcFXLMurO6df3zuDRotULiiIhIalYn62+//Tb8/f0BAG+99RZatWqFOXPm4MaNG/jss88aPEBqGeLO67rAt4FMJpM4GiIiIiLbmzogGB5KB6TeKMHuszlSh0NEErN6Nvj+/fvr/9/X1xfbt29v0ICoZdp/oXpyOY5XJyIiopbKw9kRDw0OwWf70vD5/jSMimgndUhEJCGrW9ZHjhyJgoICo+0qlQojR45siJiohclWleNcdhFksurZUImIiIhaqkeHhMFRIUNiej5OXCmQOhwikpDVyfrevXtRWVlptL28vBz79+9vkKCoZdF1ge8Z6IVWblxXlIiIiFouPy9nTOgVCAD4PC5V4miISEoWd4M/efKk/v9TUlKQlZWlf67RaLB9+3YEBgY2bHTUIui6wA/tzC7wRERERE8M7YAfjl/F9uQsXM4rQWhrN6lDIiIJWJys9+7dGzKZDDKZzGR3dxcXF3z00UcNGhw1f1qtQPxFjlcnIiIi0uni54Fhndti3/kb+CI+HW9M5IpLRC2Rxcl6eno6hBDo0KEDEhMT0bbtX4mVk5MTfH19oVAoGiVIar5OX1chv6QS7koH9AnxljocIiIiIrvwz6EdsO/8DXx39Armj+rMoYJELZDFyXpoaCgAQKvVNlow1PLEXagerx4V3hqOCqunUCAiIiJqlqLCWyMy0BPJ11T4+tBlPHN3J6lDIiIbq1N2lJqaiqeffhqjRo3CqFGj8MwzzyA1lRNgkPV0k8sN7cRZ4ImIiIh0ZDIZHr+rAwDgy4OXUK7WSBwREdma1cn6jh07EBERgcTERPTs2RM9e/bE4cOH0b17d8TGxjZGjNRMFVdU4XjGTQAcr05ERER0u3t7+CPQ2wV5JZX48fg1qcMhIhuzuBu8zr/+9S/Mnz8fS5cuNdr+f//3f4iOjm6w4Kh5O5yWB7VGIMTHFe3bcJZTIiIiols5KOSYdWcY3vw5Bf+LS0X71q64UVwBXw9nDAzzgUIukzpEImpEVifrZ86cwXfffWe0fdasWXj//fcbIiZqIXRd4O9iF3giIiIikx4cEIxlO84iPa8UD606rN/u7+WMReMjMDbSX8LoiKgxWd0Nvm3btjhx4oTR9hMnTsDX17chYqIWguurExEREdVs/4UbKFMbT/CcVViOOeuOY3typgRREZEtWNyy/sYbb+CFF17A448/jieeeAJpaWkYMmQIAODAgQN45513sGDBgkYLlJqXK/mlSMstgUIuQ1R4a6nDISIiIrI7Gq1AzLYUk/sEABmAmG0piI7wY5d4ombI4mQ9JiYGTz75JF577TV4eHhg+fLlWLhwIQAgICAAixcvxjPPPNNogVLzomtV7xPsDU9nR4mjISIiIrI/ien5yCwsN7tfAMgsLEdiej4bP4iaIYuTdSEEgOplJObPn4/58+ejqKgIAODh4dE40VGztf/P9dXZBZ6IiIjItJwi84n6rc5mqkwm6xqtQGJ6PnKKyjkpHVETZNUEczKZ4T9uJulUF1UaLQ5crG5Z5+RyRERERKb5ejhbVC7m5xRs/uM6xvf0x309A+Dn5YztyZmI2ZZi0DJvyaR0TPCJ7IdVyXrnzp2NEvbb5efn1ysgav7+uFoIVXkVvFwc0TPIW+pwiIiIiOzSwDAf+Hs5I6uwHMJMGScHOdRVWvxxpQB/XCnAW7+eQXhbd1zMKTYqq5uUbuX0viYT9rom+ETUOKxK1mNiYuDl5dVYsVALoesCf2fHNvylloiIiMgMhVyGReMjMGfdccgAg4Rd9w3qwwd7o1+oD35LzsS2P67jyKWbJhN1oOZJ6bYnZ2LOuuNGPwrUluATUeOxKll/8MEHG3R5tri4OPznP//BsWPHkJmZiZ9++gmTJk0yW37v3r0YMWKE0fbMzEz4+fk1WFzUuLi+OhEREZFlxkb6Y+X0vkYt3n63tXjPiGqPGVHt8fMf1zHv2ySz59NNSjfx43j0CPJGiI8rgrxdsPjn0yZb7znrPJF0LE7Wa+v+XhclJSXo1asXZs2ahb/97W8WH3fu3Dl4enrqn3N996ZBoxXYcy4HSRkFAIAhHZmsExEREdVmbKQ/oiP8LBpLrhHmOswbSr6uQvJ1lUVlOes8kTSsng2+IY0bNw7jxo2z+jhfX194e3s3eDzUeEyNgZr6WQLHQBERERFZQCGXWZQoWzop3ZPDwuHkIMfV/FIkXSlAem5JrcdcuVmKKJiOgRPTETU8i5N1rVbbmHFYpXfv3qioqEBkZCQWL16MO+64w2zZiooKVFRU6J+rVNW/IKrVaqjV6kaPlYAdp7Px9IY/zI6B+ujBXhjTvV2DX1f3/vJ9JltivSMpsN6RVFj37E+fIA/4eSqRraow2a1dBsDPS4nnRnbQJ9OH0/MxffXRWs/98o+nsDM5E2Mj/TCyS1t4OFenEjtOZ+Pfv55Fluqv79x+nkq8ek/XRvmOB7DukTTqU+/qcoxMNEaTeR3IZLJax6yfO3cOe/fuRf/+/VFRUYFVq1bh66+/xuHDh9G3b1+TxyxevBgxMTFG29evXw9XV9eGCp/M0Aog5rgCBZXAX1Oh3ErA2wlY1FcD/vhKREREVH9/5Mmw+rz8z2e3fsGq/to/q7MWvVr/lQJY8n1NDkB7yz6FTKCbt0ArpcD+LMuvRdRSlZaW4qGHHkJhYaHBkO6aNKlk3ZRhw4YhJCQEX3/9tcn9plrWg4ODkZuba/GLRHVn6S+162b1x6Awnwa9tlqtRmxsLKKjo+Ho6Nig5yYyh/WOpMB6R1Jh3bNfplq7/b2UeGWc6dZuXU9IwNys8z3RvrUbtp/Oxm/J2UizoNu8rhV/z4KhpsfXawWOXr6JnKIK+Hoo0T+0lcVd51n3SAr1qXcqlQpt2rSxKlm3ajZ4ezRw4EDEx8eb3a9UKqFUKo22Ozo68h+2DeQUW9bdI6+0qtHeD77XJAXWO5IC6x1JhXXP/tzXOwjjegZaPI78vt5BcHBQ1DrrfI9gH7w4thvOZxfhs32p+OH4NbMxVE9MV4Gkq0VG4+3ruqa7bmx8ZkEJ0gplGKNwYN0jm6vLZ15d6mmTT9ZPnDgBf39OUGaPkjJuYkXseYvKWjoZChERERFZxtJJ6XSsmXW+czsPDO3ctsZkXWfBxhMYE+mHwR1aY3AHHxxKy6vTmu7GCb4Cm5bHYfGE7pywmJolSZP14uJiXLx4Uf88PT0dJ06cgI+PD0JCQrBw4UJcu3YNX331FQDg/fffR1hYGLp3747y8nKsWrUKu3fvxs6dO6W6BTKhuKIKy3acw5cJlyAEIJMB5gZbVHePqv5DQERERETSsibBt7SxJVNVjrUHL2HtwUsAAAe5zOo13bcnZ5pM8LNVFTUm+ERNmaTJ+tGjRzFixAj98wULFgAAZs6cibVr1yIzMxMZGRn6/ZWVlXj++edx7do1uLq6omfPnti1a5fBOajx1bQ0R2xKNl7fkqz/xfNvfQIRFd4aL206CcD0GKhF4yO4tAcRERFREzMwzAf+Xs7IKiw3O/O8r6cSr90bgcPp+UhIy8PFnGJUac1PmaVb0/2R1Yno0NYNHs6OcFUq8OneVKsT/FtxaTlqiiRN1ocPH17j+u1r1641eP7SSy/hpZdeauSoqCbmxhc9d3cn7D1/A78lZwEAQnxc8dbkSNzVqS0AwMPZodYxUERERETUdCjkMiwaH4E5645DBtONMjF/dlG/r1cAAODrQ5fw2ubTtZ57/8Vc7L+Ya1EcugT/cFoehnRsY7S/LuPjmdyTPWjyY9bJdsx1P8osLMf//XgKQPWH9uN3dcCzd3eCi5NCX8aaMVBERERE1DSMjfTHyul9LW6U6djWw6LzPjQwGD5uShSVq5GSqcKRSzdrPeaxL49iSHhrDAjzwYD2PugR6IXdZ7OtHh9f38nvrPmuyx8FqCZM1skiGq1AzLYUk92PdBwVMvw45w70CPIyud/aSU6IiIiIyP5Z0yhjSdd5Py9nvDmph/74hNQ8TPvfoVrjKFNr8PvZHPx+NgcAoHSQQQhY1X3eXOOU9ZPf1Z7g1/VHAWo55FIHQE1DYnq+wQeJKWqNQHFFlY0iIiIiIiJ7oWuUmdi7er4ic63Duq7zwF9d5XXMzWekS/DNtTfLUJ3k/jhnCF69txtGR7SDj5sTKqoEKjW1j49fufcikq8VIreoAovNNE7ptsVsS4HmtjH3ugT/9u/KugR/e3Km0fnqcgy1PEzWySI5RTUn6taWIyIiIqKWSdd13s/LcDZ5Py9nky3Xlib4fUNbYfZdHfD5jP449uoovHxPV4viWbbzPO77KB7939qFrBoap3TJ/Qe7zuP3M9k4mJqLo5fy8ermZKsS/Jp6rNb0owC1POwGTxaxdGkOrpdORERERLWxdj4j82PjlVg03niddZlMhh6B3hbF0qGNG1TlauQWV1pU/sPdF2sv9Cddgn/XO7vh7eoEpaMcFWptjT1WdcckpuebHULK8fEtA5N1soil44u4XjoRERERWcLa+YxuTfAzC0qQdvoE5k0dCmelk8nyln5/jV0wDAq5DPvO52Dm6iO1xtHNzwOODnKUVWqQW1yBm6XqWo+5XliO67UMKb3dT0lX0crNEZ18PYzWnOf4+JaByTpZRNf96Ml1x432cb10IiIiIrIFXYKvVnvi16tJNX73tGRpuVu/v97Zsa1Fyf3Pz9xl9eR3r93XDR19PVCh1uDUtUJ8ZEHr/HdHr+K7o1fhoXRAn9BW6BfSCkIIfPD7Batnt6/LpHkkPSbrZLGxkf7oG+KN4xkFBtu5XjoRERER2SNrlpazNrkHLG+9f2RImP64u7u1w6ZjV80eAwDuSgf0DPLEH1cKUVRRhbjzNxB3/obZ+9Sd518/noIcMrgqHeDiJIejQo7XahhTb2pGfLIfTNbJYhl5pThxpQAA8O79PaF0lHO8CxERERHZNWvGx1u7bnxdEnxLjlk2pSfGRvqjSqPFuewiHLt8EzuSs3AgNa/Gey0oVeOJdcdqfU10LBkfT9Jhsk4WW30gHVoBDOvcFn8fECx1OEREREREFrFmfHzDTX5nvveppcc4KOToHuCF7gFe8HJxrDVZB4AQH1e4OilQptbgZkklVOW1L61sbkUnTkonLSbrZJGC0kpsPHIFAPDE0A4SR0NERERE1HjqM/mdpYmttcdYuurSO/f31Mdu6Zj6T/elQi6TYUx3Pzg5VK/uzUnppMdknSzyzeEMlKk1iPD3xBB2kSEiIiIiMmBtgm/tMXVZnam2Y3TOZBbh6W+T0NrNCVP6ByPQ2wWvbzEe685J6WxLLnUAZP8qqjRYe/ASgOpWdZmMXV+IiIiIiGxJN9Yd+Gtsu05t4+PNHSMD8PbkSDxzdye081Qir6QSn+5LxWsmEnXgr/H1MdtSoNGaT/81WoGE1DxsOXENCal5NZatzzHNHVvWqVZbTlzHjaIK+Hs5496e/AWNiIiIiEgKjTk+/pmRHfH72Rx8suciTl4tNBtDbZPScR34hsNknWokhMD/4tIAAI/e0R6OCnbGICIiIiKSSmONj3dQyDGmux/K1Ro8u+FErXEs3nYaQ8Jbo6OvOzr5eqCjrzsS0/OsXtOd68Cbx2SdarT3/A1cyCmGu9IBDw4MkTocIiIiIqIWrzHHx1s6kd25rCKcyyoy2CaXocbu84u2nMYdHdvAXekAmUwGjVYgZltKndeBb+6z1TNZpxrpWtWnDQyGp7OjxNEQEREREVFjsmQiOx93J7wwujNSc0pw8UYxLmQX41pBGWobZp5dVIEei3dCIZfB09kBTg5yZKsqzJavqct9S+g6z2SdzEq+VoiDqXlwkMvw6B1hUodDRERERESNTDcp3Zx1xyGDYUu5rs36rUmRRgnxd0ev4KVNJy26hkYrcLNUbXFMH++5gIs3itGlnQe6+HkgITW3RXSdZ7JOZv1vf3Wr+n09/RHg7SJxNEREREREZAt1mcguuJWrRede88gAdPX3QFF5FQ5ezMXibSm1HnPgYh4OXMzTP6+pu31tXeebEibrZNK1gjL8fDITADD7rg4SR0NERERERLZk7UR2lq4DP7RzWyjkMvh7AeFt3fFZXFqN68B7uzji7wOCcSG7eoz89cLyGrvb1zZbfVPCZJ1MWnsgHRqtwB0dWyMy0EvqcIiIiIiIyMasmcjOku7z5taBr+mYpff3MGjJ35CYgX/9eKrWeHKKymstY++4DhcZUZWr8W3iFQBsVSciIiIiIsvous/7eRnOKO/n5Wx2HLm1x4S2drMoFktntbdnbFknIxsSM1BcUYVOvu4Y3rmt1OEQEREREVET0VjrwOtY2t1+YJhPw92URJisk4HKKi1Wx18CADw+tANksqY9KQMREREREdlWY64DX5fu9k0Vu8GTgV9OXUeWqhxtPZSY2DtA6nCIiIiIiIgM1KW7fVPElnXSE0Lg87h0AMAjQ9pD6aCQOCIiIiIiIiJjdelu39QwWSe9AxfzcCZTBVcnBf4xKETqcIiIiIiIiMyqS3f7poTJegun0Qr9r1Gr46tb1f/ePxjerk4SR0ZERERERNRyMVlvwbYnZyJmWwoyCw3XIOzo6y5RRERERERERARIPMFcXFwcxo8fj4CAAMhkMmzevLnWY/bu3Yu+fftCqVSiY8eOWLt2baPH2RxtT87EnHXHjRJ1AHhtczK2J2dKEBUREREREREBEifrJSUl6NWrFz755BOLyqenp+Pee+/FiBEjcOLECTz33HOYPXs2duzY0ciRNi8arUDMthST6xLqxGxLgUZbUwkiIiIiIiJqLJJ2gx83bhzGjRtncflPP/0UYWFhWL58OQCgW7duiI+Px4oVKzBmzJjGCrPZSUzPN9miriMAZBaWIzE9v1lP2EBERERERGSvmtSY9YSEBIwaNcpg25gxY/Dcc8+ZPaaiogIVFRX65yqVCgCgVquhVqsbJU57l1lQYnE5tdqzkaNpPLr3t6W+zyQN1juSAusdSYV1j6TCukdSqE+9q8sxTSpZz8rKQrt27Qy2tWvXDiqVCmVlZXBxcTE6ZsmSJYiJiTHavnPnTri6ujZarPYsrVAGoPY11NNOn8CvV5MaP6BGFhsbK3UI1AKx3pEUWO9IKqx7JBXWPZJCXepdaWmp1cc0qWS9LhYuXIgFCxbon6tUKgQHB2P06NHw9Gy6rcb1odEKbFoeh2xVhclx6zIAfl5KzJs6FAq5zNbhNRi1Wo3Y2FhER0fD0dFR6nCohWC9Iymw3pFUWPdIKqx7JIX61DtdD29rNKlk3c/PD9nZ2QbbsrOz4enpabJVHQCUSiWUSqXRdkdHxxb7D9sRwOIJ3fHkuuNG+3Sp+aLx3eGsbB5rrbfk95qkw3pHUmC9I6mw7pFUWPdICnWpd3Wpp5LOBm+tqKgo/P777wbbYmNjERUVJVFETdfQzm3hrjT+rcbPyxkrp/fF2Eh/CaIiIiIiIiIiQOKW9eLiYly8eFH/PD09HSdOnICPjw9CQkKwcOFCXLt2DV999RUA4Mknn8THH3+Ml156CbNmzcLu3bvx3Xff4ZdffpHqFpqs9YczUFxRhRAfF7w9uQfySirh6+GMgWE+TbrrOxERERERUXMgabJ+9OhRjBgxQv9cN7Z85syZWLt2LTIzM5GRkaHfHxYWhl9++QXz58/HBx98gKCgIKxatYrLtlmpXK3B53FpAIC5Izrizk5tJY6IiIiIiIiIbiVpsj58+HAIYWqKs2pr1641eUxSUtOfoVxK3x+9gpyiCgR6u2BynyCpwyEiIiIiIqLbNKkx61R/lVVafLqvulX9yWEd4OTAKkBERERERGRvmKm1MJuTruFaQRnaeigxpX+w1OEQERERERGRCUzWW5AqjRb/3Vs9od8/h3aAs6NC4oiIiIiIiIjIFCbrLcjPJzNxKa8UPm5OeGhQiNThEBERERERkRlM1lsIrVbg4z3VreqP3RkGVydJ5xYkIiIiIiKiGjBZbyF2nM7CxZxieDo7YEZUqNThEBERERERUQ2YrLcAQgh8tLu6Vf2RO8Lg4ewocURERERERERUEybrLcDuszlIyVTBzUmBWXe0lzocIiIiIiIiqgWT9Wbu1lb1h6Paw9vVSeKIiIiIiIiIqDZM1pu5AxfzcOJKAZwd5Zh9V5jU4RAREREREZEFmKw3cx/uvgAAmDYwBG3clRJHQ0RERERERJZgst6MHU7LQ2J6PpwUcvxzaLjU4RAREREREZGFmKw3Y7p11af0D4Kfl7PE0RAREREREZGlmKw3UyeuFGD/hVwo5DI8OYyt6kRERERERE0Jk/Vm6uM/x6pP7hOIYB9XiaMhIiIiIiIiazhIHQA1HI1WIDE9H8czbmLXmRzIADw1nK3qRERERERETQ2T9WZie3ImYralILOwXL9N6SjH+ewidGjrLmFkREREREREZC12g28GtidnYs664waJOgCUq7WYs+44tidnShQZERERERER1QWT9SZOoxWI2ZYCUUOZmG0p0GhrKkFERERERET2hMl6E5eYnm/Uon4rASCzsByJ6fm2C4qIiIiIiIjqhcl6E5dTZD5Rr0s5IiIiIiIikh6T9SbO18O5QcsRERERERGR9JisN3EDw3zg72U+EZcB8PdyxsAwH9sFRURERERERPXCZL2JU8hlWDQ+wuQ+2Z//XTQ+Agq5zGQZIiIiIiIisj9M1puBEV194eqkMNru5+WMldP7YmykvwRRERERERERUV05SB0A1d+eszkordTA18MJK6b2QW5xBXw9qru+s0WdiIiIiIio6WGy3gxsOnYNADC5bxDu6NhG4miIiIiIiIiovtgNvonLK67A3nM5AIAH+gZJHA0RERERERE1BCbrTdyWE9dRpRXoFeSFTu08pA6HiIiIiIiIGoBdJOuffPIJ2rdvD2dnZwwaNAiJiYlmy65duxYymczg4ezcctcQ33TsKgDg/n5sVSciIiIiImouJE/WN27ciAULFmDRokU4fvw4evXqhTFjxiAnJ8fsMZ6ensjMzNQ/Ll++bMOI7ceZTBVSMlVwVMgwvmeA1OEQERERERFRA5E8WX/vvffw+OOP49FHH0VERAQ+/fRTuLq6YvXq1WaPkclk8PPz0z/atWtnw4jtxw9/tqqP6tYOrdycJI6GiIiIiIiIGoqks8FXVlbi2LFjWLhwoX6bXC7HqFGjkJCQYPa44uJihIaGQqvVom/fvnj77bfRvXt3k2UrKipQUVGhf65SqQAAarUaarW6ge7E9tQaLTafqJ4FfmIvvyZ9L41F95rwtSFbYr0jKbDekVRY90gqrHskhfrUu7ocI2mynpubC41GY9Qy3q5dO5w9e9bkMV26dMHq1avRs2dPFBYWYtmyZRgyZAhOnz6NoCDjcdtLlixBTEyM0fadO3fC1dW1YW5EAsk3ZcgtVsDdQaD04lH8miZ1RPYrNjZW6hCoBWK9Iymw3pFUWPdIKqx7JIW61LvS0lKrj2ly66xHRUUhKipK/3zIkCHo1q0bPvvsM7z55ptG5RcuXIgFCxbon6tUKgQHB2P06NHw9PS0ScyN4bcNfwDIxgMDQjH+nq5Sh2OX1Go1YmNjER0dDUdHR6nDoRaC9Y6kwHpHUmHdI6mw7pEU6lPvdD28rSFpst6mTRsoFApkZ2cbbM/Ozoafn59F53B0dESfPn1w8eJFk/uVSiWUSqXJ45rqP+yC0krsPnsDADBlQEiTvQ9bacrvNTVdrHckBdY7kgrrHkmFdY+kUJd6V5d6KukEc05OTujXrx9+//13/TatVovff//doPW8JhqNBqdOnYK/v39jhWl3tp3MRKVGi27+nuge4CV1OERERERERNTAJO8Gv2DBAsycORP9+/fHwIED8f7776OkpASPPvooAGDGjBkIDAzEkiVLAABvvPEGBg8ejI4dO6KgoAD/+c9/cPnyZcyePVvK27Ap/drqfQMljoSIiIiIiIgag+TJ+tSpU3Hjxg28/vrryMrKQu/evbF9+3b9pHMZGRmQy//qAHDz5k08/vjjyMrKQqtWrdCvXz8cPHgQERERUt2CTV3MKcYfVwqgkMswsTeTdSIiIiIiouZI8mQdAObNm4d58+aZ3Ld3716D5ytWrMCKFStsEJV9+uF4dav68M5t0dbDeCw+ERERERERNX2Sjlkn62i0Aj8dr15b/YF+xsvUERERERERUfPAZL0JOXAxF1mqcni5OGJkN1+pwyEiIiIiIqJGwmS9CdF1gZ/QKwBKB4XE0RAREREREVFjYbLeRBSVq7HjdBYA4H52gSciIiIiImrWmKw3Eb+eykS5WouOvu7oFcS11YmIiIiIiJozJutNxF9rqwdBJpNJHA0RERERERE1JibrTcDlvBIcuXQTchkwuQ/XViciIiIiImrumKw3AT/8uVzbHR3bwM/LWeJoiIiIiIiIqLExWbdzWq3Aj3/OAs+11YmIiIiIiFoGJut27nB6Pq7eLIOH0gFjuvtJHQ4RERERERHZAJN1O6dbW/3env5wduTa6kRERERERC2Bg9QBkGkarcD+Czew7UT1ePVJnFiOiIiIiIioxWDLuh3anpyJO9/ZjUfWHEGFRgAAntt4AtuTMyWOjIiIiIiIiGyBybqd2Z6ciTnrjiOzsNxge3ZhOeasO86EnYiIiIiIqAVgsm5HNFqBmG0pECb26bbFbEuBRmuqBBERERERETUXTNbtSGJ6vlGL+q0EgMzCciSm59suKCIiIiIiIrI5Jut2JKfIfKJel3JERERERETUNDFZtyO+Hs4NWo6IiIiIiIiaJibrdmRgmA/8vZwhM7NfBsDfyxkDw3xsGRYRERERERHZGJN1O6KQy7BofAQAGCXsuueLxkdAITeXzhMREREREVFzwGTdzoyN9MfK6X3h52XY1d3Pyxkrp/fF2Eh/iSIjIiIiIiIiW3GQOgAyNjbSH9ERfkhMz0dOUTl8Paq7vrNFnYiIiIiIqGVgsm6nFHIZosJbSx0GERERERERSYDd4ImIiIiIiIjsDJN1IiIiIiIiIjvDZJ2IiIiIiIjIzjBZJyIiIiIiIrIzTNaJiIiIiIiI7AyTdSIiIiIiIiI70+KWbhNCAABUKpXEkVBjU6vVKC0thUqlgqOjo9ThUAvBekdSYL0jqbDukVRY90gK9al3uvxTl49aosUl60VFRQCA4OBgiSMhIiIiIiKilqSoqAheXl4WlZUJa1L7ZkCr1eL69evw8PCATCaTOhxqRCqVCsHBwbhy5Qo8PT2lDodaCNY7kgLrHUmFdY+kwrpHUqhPvRNCoKioCAEBAZDLLRuN3uJa1uVyOYKCgqQOg2zI09OTH+Jkc6x3JAXWO5IK6x5JhXWPpFDXemdpi7oOJ5gjIiIiIiIisjNM1omIiIiIiIjsDJN1araUSiUWLVoEpVIpdSjUgrDekRRY70gqrHskFdY9koKt612Lm2COiIiIiIiIyN6xZZ2IiIiIiIjIzjBZJyIiIiIiIrIzTNaJiIiIiIiI7AyTdSIiIiIiIiI7w2Sd7NaSJUswYMAAeHh4wNfXF5MmTcK5c+cMypSXl2Pu3Llo3bo13N3dcf/99yM7O1u//48//sC0adMQHBwMFxcXdOvWDR988IHBOTIzM/HQQw+hc+fOkMvleO6552xxe2THbFX3fvzxR0RHR6Nt27bw9PREVFQUduzYYZN7JPtjq3oXHx+PO+64A61bt4aLiwu6du2KFStW2OQeyf7Yqt7d6sCBA3BwcEDv3r0b67aoCbBV3du7dy9kMpnRIysryyb3SfbFlp95FRUVeOWVVxAaGgqlUon27dtj9erVVsXLZJ3s1r59+zB37lwcOnQIsbGxUKvVGD16NEpKSvRl5s+fj23btuH777/Hvn37cP36dfztb3/T7z927Bh8fX2xbt06nD59Gq+88goWLlyIjz/+WF+moqICbdu2xauvvopevXrZ9B7JPtmq7sXFxSE6Ohq//vorjh07hhEjRmD8+PFISkqy6f2SfbBVvXNzc8O8efMQFxeHM2fO4NVXX8Wrr76Kzz//3Kb3S/bBVvVOp6CgADNmzMDdd99tk/sj+2Xrunfu3DlkZmbqH76+vja5T7Ivtqx3f//73/H777/jiy++wLlz5/Dtt9+iS5cu1gUsiJqInJwcAUDs27dPCCFEQUGBcHR0FN9//72+zJkzZwQAkZCQYPY8Tz31lBgxYoTJfcOGDRPPPvtsg8ZNTZ8t6p5ORESEiImJaZjAqUmzZb2bPHmymD59esMETk1aY9e7qVOnildffVUsWrRI9OrVq8Hjp6arserenj17BABx8+bNRoudmq7Gqne//fab8PLyEnl5efWKjy3r1GQUFhYCAHx8fABU/6qlVqsxatQofZmuXbsiJCQECQkJNZ5Hdw4iS9iq7mm1WhQVFbF+EgDb1bukpCQcPHgQw4YNa6DIqSlrzHq3Zs0apKWlYdGiRY0QOTV1jf2Z17t3b/j7+yM6OhoHDhxo4OipqWqserd161b0798f7777LgIDA9G5c2e88MILKCsrsyo+B6tKE0lEq9Xiueeewx133IHIyEgAQFZWFpycnODt7W1Qtl27dmbHIR08eBAbN27EL7/80tghUzNhy7q3bNkyFBcX4+9//3uDxU9Nky3qXVBQEG7cuIGqqiosXrwYs2fPbvD7oKalMevdhQsX8K9//Qv79++HgwO/fpKhxqx7/v7++PTTT9G/f39UVFRg1apVGD58OA4fPoy+ffs22j2R/WvMepeWlob4+Hg4Ozvjp59+Qm5uLp566ink5eVhzZo1FsfIT0tqEubOnYvk5GTEx8fX+RzJycmYOHEiFi1ahNGjRzdgdNSc2arurV+/HjExMdiyZQvH0ZFN6t3+/ftRXFyMQ4cO4V//+hc6duyIadOm1SdsauIaq95pNBo89NBDiImJQefOnRsqXGpGGvMzr0uXLgbjhIcMGYLU1FSsWLECX3/9db3ipqatMeudVquFTCbDN998Ay8vLwDAe++9hwceeAD//e9/4eLiYtH5mayT3Zs3bx5+/vlnxMXFISgoSL/dz88PlZWVKCgoMPj1Kzs7G35+fgbnSElJwd13340nnngCr776qq1CpybOVnVvw4YNmD17Nr7//nuDblfUMtmq3oWFhQEAevTogezsbCxevJjJegvWmPWuqKgIR48eRVJSEubNmweg+ousEAIODg7YuXMnRo4c2bg3SHZLiu95AwcOrFeCRk1fY9c7f39/BAYG6hN1AOjWrRuEELh69So6depkWaD1GvFO1Ii0Wq2YO3euCAgIEOfPnzfar5sAYtOmTfptZ8+eNZoAIjk5Wfj6+ooXX3yx1mtygjkSwrZ1b/369cLZ2Vls3ry5YW+CmhwpPvN0YmJiRGhoaL3ip6bJFvVOo9GIU6dOGTzmzJkjunTpIk6dOiWKi4sb5+bIrkn5mTdq1CgxefLk+t0ANUm2qnefffaZcHFxEUVFRfptmzdvFnK5XJSWllocL5N1sltz5swRXl5eYu/evSIzM1P/uLWCP/nkkyIkJETs3r1bHD16VERFRYmoqCj9/lOnTom2bduK6dOnG5wjJyfH4FpJSUkiKSlJ9OvXTzz00EMiKSlJnD592mb3SvbFVnXvm2++EQ4ODuKTTz4xKFNQUGDT+yX7YKt69/HHH4utW7eK8+fPi/Pnz4tVq1YJDw8P8corr9j0fsk+2PJv7a04GzzZqu6tWLFCbN68WVy4cEGcOnVKPPvss0Iul4tdu3bZ9H7JPtiq3hUVFYmgoCDxwAMPiNOnT4t9+/aJTp06idmzZ1sVL5N1slsATD7WrFmjL1NWViaeeuop0apVK+Hq6iomT54sMjMz9fsXLVpk8hy3tyBZUoZaDlvVvWHDhpksM3PmTNvdLNkNW9W7Dz/8UHTv3l24uroKT09P0adPH/Hf//5XaDQaG94t2Qtb/q29FZN1slXde+edd0R4eLhwdnYWPj4+Yvjw4WL37t02vFOyJ7b8zDtz5owYNWqUcHFxEUFBQWLBggVWtaoLIYTsz6CJiIiIiIiIyE5wnXUiIiIiIiIiO8NknYiIiIiIiMjOMFknIiIiIiIisjNM1omIiIiIiIjsDJN1IiIiIiIiIjvDZJ2IiIiIiIjIzjBZJyIiIiIiIrIzTNaJiIiIiIiI7AyTdSIiIiIiIiI7w2SdiIiohXnkkUcgk8kgk8ng6OiIdu3aITo6GqtXr4ZWq7X4PGvXroW3t3fjBUpERNSCMVknIiJqgcaOHYvMzExcunQJv/32G0aMGIFnn30W9913H6qqqqQOj4iIqMVjsk5ERNQCKZVK+Pn5ITAwEH379sXLL7+MLVu24LfffsPatWsBAO+99x569OgBNzc3BAcH46mnnkJxcTEAYO/evXj00UdRWFiob6VfvHgxAKCiogIvvPACAgMD4ebmhkGDBmHv3r3S3CgREVETxWSdiIiIAAAjR45Er1698OOPPwIA5HI5PvzwQ5w+fRpffvkldu/ejZdeegkAMGTIELz//vvw9PREZmYmMjMz8cILLwAA5s2bh4SEBGzYsAEnT57ElClTMHbsWFy4cEGyeyMiImpqZEIIIXUQREREZDuPPPIICgoKsHnzZqN9Dz74IE6ePImUlBSjfZs2bcKTTz6J3NxcANVj1p977jkUFBToy2RkZKBDhw7IyMhAQECAfvuoUaMwcOBAvP322w1+P0RERM2Rg9QBEBERkf0QQkAmkwEAdu3ahSVLluDs2bNQqVSoqqpCeXk5SktL4erqavL4U6dOQaPRoHPnzgbbKyoq0Lp160aPn4iIqLlgsk5ERER6Z86cQVhYGC5duoT77rsPc+bMwVtvvQUfHx/Ex8fjscceQ2Vlpdlkvbi4GAqFAseOHYNCoTDY5+7ubotbICIiahaYrBMREREAYPfu3Th16hTmz5+PY8eOQavVYvny5ZDLq6e4+e677wzKOzk5QaPRGGzr06cPNBoNcnJycNddd9ksdiIiouaGyToREVELVFFRgaysLGg0GmRnZ2P79u1YsmQJ7rvvPsyYMQPJyclQq9X46KOPMH78eBw4cACffvqpwTnat2+P4uJi/P777+jVqxdcXV3RuXNn/OMf/8CMGTOwfPly9OnTBzdu3MDvv/+Onj174t5775XojomIiJoWzgZPRETUAm3fvh3+/v5o3749xo4diz179uDDDz/Eli1boFAo0KtXL7z33nt45513EBkZiW+++QZLliwxOMeQIUPw5JNPYurUqWjbti3effddAMCaNWswY8YMPP/88+jSpQsmTZqEI0eOICQkRIpbJSIiapI4GzwRERERERGRnWHLOhEREREREZGdYbJOREREREREZGeYrBMRERERERHZGSbrRERERERERHaGyToRERERERGRnWGyTkRERERERGRnmKwTERERERER2Rkm60RERERERER2hsk6ERERERERkZ1hsk5ERERERERkZ5isExEREREREdmZ/wcV9BbKrQd4xQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_account('200001928')\n",
    "plot_account('366351')\n",
    "plot_account('365966')\n",
    "plot_account('365568')\n",
    "plot_account('200129601')\n",
    "plot_account('402410')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "31407450-a833-4fce-8b0b-dba1b1de585f",
   "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>Registrar Account - ID</th>\n",
       "      <th>Product - Isin</th>\n",
       "      <th>n_ruptures</th>\n",
       "      <th>obs</th>\n",
       "      <th>rupture_ratio</th>\n",
       "      <th>max_gap</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17027</th>\n",
       "      <td>200127410</td>\n",
       "      <td>FR0010135103</td>\n",
       "      <td>434</td>\n",
       "      <td>436</td>\n",
       "      <td>0.995413</td>\n",
       "      <td>295985.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17029</th>\n",
       "      <td>200127410</td>\n",
       "      <td>FR0010148981</td>\n",
       "      <td>317</td>\n",
       "      <td>319</td>\n",
       "      <td>0.993730</td>\n",
       "      <td>67134.706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68901</th>\n",
       "      <td>PRIVATE CLIENT</td>\n",
       "      <td>LU0992630599</td>\n",
       "      <td>154</td>\n",
       "      <td>155</td>\n",
       "      <td>0.993548</td>\n",
       "      <td>529752.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39099</th>\n",
       "      <td>366441</td>\n",
       "      <td>FR0010135103</td>\n",
       "      <td>142</td>\n",
       "      <td>143</td>\n",
       "      <td>0.993007</td>\n",
       "      <td>439160.588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39101</th>\n",
       "      <td>366441</td>\n",
       "      <td>FR0010148981</td>\n",
       "      <td>142</td>\n",
       "      <td>143</td>\n",
       "      <td>0.993007</td>\n",
       "      <td>86246.897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3083</th>\n",
       "      <td>200001928</td>\n",
       "      <td>LU0992624949</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>110779.418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2080</th>\n",
       "      <td>200001349</td>\n",
       "      <td>FR0010149120</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>23881.992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3084</th>\n",
       "      <td>200001928</td>\n",
       "      <td>LU0992625839</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>12675.630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31744</th>\n",
       "      <td>365095</td>\n",
       "      <td>FR0010149120</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>22990.942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2085</th>\n",
       "      <td>200001349</td>\n",
       "      <td>FR0010149302</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>412.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65735</th>\n",
       "      <td>422329</td>\n",
       "      <td>FR0010306142</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>18289.694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3129</th>\n",
       "      <td>200001939</td>\n",
       "      <td>LU0592698954</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>57179.957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2090</th>\n",
       "      <td>200001349</td>\n",
       "      <td>FR0011269083</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>29403.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2086</th>\n",
       "      <td>200001349</td>\n",
       "      <td>FR0010306142</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>9417.847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65730</th>\n",
       "      <td>422329</td>\n",
       "      <td>FR0010149120</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>20342.726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2108</th>\n",
       "      <td>200001349</td>\n",
       "      <td>LU0336083497</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>592.246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65618</th>\n",
       "      <td>422310</td>\n",
       "      <td>FR0010149120</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>6006.071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65613</th>\n",
       "      <td>422310</td>\n",
       "      <td>FR0010135103</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>4258.656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31804</th>\n",
       "      <td>365096</td>\n",
       "      <td>FR0010149120</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>844.519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31800</th>\n",
       "      <td>365096</td>\n",
       "      <td>FR0010148981</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>0.992308</td>\n",
       "      <td>962.783</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Registrar Account - ID Product - Isin  n_ruptures  obs  rupture_ratio  \\\n",
       "17027              200127410   FR0010135103         434  436       0.995413   \n",
       "17029              200127410   FR0010148981         317  319       0.993730   \n",
       "68901         PRIVATE CLIENT   LU0992630599         154  155       0.993548   \n",
       "39099                 366441   FR0010135103         142  143       0.993007   \n",
       "39101                 366441   FR0010148981         142  143       0.993007   \n",
       "3083               200001928   LU0992624949         129  130       0.992308   \n",
       "2080               200001349   FR0010149120         129  130       0.992308   \n",
       "3084               200001928   LU0992625839         129  130       0.992308   \n",
       "31744                 365095   FR0010149120         129  130       0.992308   \n",
       "2085               200001349   FR0010149302         129  130       0.992308   \n",
       "65735                 422329   FR0010306142         129  130       0.992308   \n",
       "3129               200001939   LU0592698954         129  130       0.992308   \n",
       "2090               200001349   FR0011269083         129  130       0.992308   \n",
       "2086               200001349   FR0010306142         129  130       0.992308   \n",
       "65730                 422329   FR0010149120         129  130       0.992308   \n",
       "2108               200001349   LU0336083497         129  130       0.992308   \n",
       "65618                 422310   FR0010149120         129  130       0.992308   \n",
       "65613                 422310   FR0010135103         129  130       0.992308   \n",
       "31804                 365096   FR0010149120         129  130       0.992308   \n",
       "31800                 365096   FR0010148981         129  130       0.992308   \n",
       "\n",
       "          max_gap  \n",
       "17027  295985.420  \n",
       "17029   67134.706  \n",
       "68901  529752.634  \n",
       "39099  439160.588  \n",
       "39101   86246.897  \n",
       "3083   110779.418  \n",
       "2080    23881.992  \n",
       "3084    12675.630  \n",
       "31744   22990.942  \n",
       "2085      412.499  \n",
       "65735   18289.694  \n",
       "3129    57179.957  \n",
       "2090    29403.491  \n",
       "2086     9417.847  \n",
       "65730   20342.726  \n",
       "2108      592.246  \n",
       "65618    6006.071  \n",
       "65613    4258.656  \n",
       "31804     844.519  \n",
       "31800     962.783  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. Prepare stock dataset ISIN-by-ISIN\n",
    "stocks_isin = stocks[[\n",
    "    \"Registrar Account - ID\", \"Product - Isin\",\n",
    "    \"Centralisation Date\", \"Quantity - AUM\"\n",
    "]].copy()\n",
    "\n",
    "stocks_isin[\"Centralisation Date\"] = pd.to_datetime(stocks_isin[\"Centralisation Date\"])\n",
    "stocks_isin = stocks_isin.sort_values(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
    ")\n",
    "\n",
    "# 2. Prepare flows dataset ISIN-by-ISIN\n",
    "flows_isin = flows[[\n",
    "    \"Registrar Account - ID\", \"Product - Isin\",\n",
    "    \"Centralisation Date\", \"Quantity - NetFlows\"\n",
    "]].copy()\n",
    "\n",
    "flows_isin[\"Centralisation Date\"] = pd.to_datetime(flows_isin[\"Centralisation Date\"])\n",
    "\n",
    "flows_isin = flows_isin.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
    ")[\"Quantity - NetFlows\"].sum().reset_index()\n",
    "\n",
    "# 3. Merge stocks & flows ISIN-by-ISIN\n",
    "merged_isin = stocks_isin.merge(\n",
    "    flows_isin,\n",
    "    on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
    "    how=\"left\"\n",
    ")\n",
    "\n",
    "merged_isin[\"Quantity - NetFlows\"] = merged_isin[\"Quantity - NetFlows\"].fillna(0)\n",
    "\n",
    "# 4. Compute expected stock per ISIN for each account\n",
    "merged_isin[\"prev_stock\"] = merged_isin.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\"]\n",
    ")[\"Quantity - AUM\"].shift(1)\n",
    "\n",
    "merged_isin[\"prev_netflows\"] = merged_isin.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\"]\n",
    ")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
    "\n",
    "merged_isin[\"expected_stock\"] = merged_isin[\"prev_stock\"] + merged_isin[\"prev_netflows\"]\n",
    "\n",
    "# 5. Detect ruptures ISIN-by-ISIN (no aggregation)\n",
    "TOL = 1e-6\n",
    "merged_isin[\"gap\"] = merged_isin[\"Quantity - AUM\"] - merged_isin[\"expected_stock\"]\n",
    "merged_isin[\"rupture_flag\"] = (\n",
    "    merged_isin[\"prev_stock\"].notna()\n",
    "    & (merged_isin[\"gap\"].abs() > TOL)\n",
    ")\n",
    "\n",
    "# 6. Summarize ruptures per (Account, ISIN)\n",
    "rupture_isin_summary = merged_isin.groupby(\n",
    "    [\"Registrar Account - ID\", \"Product - Isin\"]\n",
    ").agg(\n",
    "    n_ruptures=(\"rupture_flag\", \"sum\"),\n",
    "    obs=(\"rupture_flag\", \"count\"),\n",
    "    rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
    "    max_gap=(\"gap\", lambda x: x.abs().max())\n",
    ").reset_index()\n",
    "\n",
    "# Sort by worst ISIN trajectories\n",
    "rupture_isin_summary = rupture_isin_summary.sort_values(\n",
    "    \"rupture_ratio\", ascending=False\n",
    ")\n",
    "\n",
    "rupture_isin_summary.head(20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "baa4b6cd-887d-45a6-af27-253a9aa8710f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Strong ruptures (ratio > 0.5 OR huge max_gap)\n",
    "strong = rupture_isin_summary[\n",
    "    (rupture_isin_summary[\"rupture_ratio\"] > 0.5)\n",
    "    | (rupture_isin_summary[\"max_gap\"] > 50000)\n",
    "]\n",
    "\n",
    "def find_successors(account_id, isin, window_days=15):\n",
    "    # Extract rupture dates for (account_id, isin)\n",
    "    ruptures = merged_isin[\n",
    "        (merged_isin[\"Registrar Account - ID\"] == account_id)\n",
    "        & (merged_isin[\"Product - Isin\"] == isin)\n",
    "        & (merged_isin[\"rupture_flag\"])\n",
    "    ][\"Centralisation Date\"].unique()\n",
    "\n",
    "    if len(ruptures) == 0:\n",
    "        return []\n",
    "\n",
    "    candidates = []\n",
    "\n",
    "    for rupture_date in ruptures:\n",
    "        start = rupture_date - pd.Timedelta(days=window_days)\n",
    "        end = rupture_date + pd.Timedelta(days=window_days)\n",
    "\n",
    "        # Look for accounts with strong positive jump at the same time\n",
    "        window_df = merged_isin[\n",
    "            (merged_isin[\"Centralisation Date\"] >= start)\n",
    "            & (merged_isin[\"Centralisation Date\"] <= end)\n",
    "            & (merged_isin[\"Product - Isin\"] == isin)\n",
    "        ]\n",
    "\n",
    "        # Look for positive gap (jump)\n",
    "        pos_jumps = window_df[window_df[\"gap\"] > 0]\n",
    "\n",
    "        candidates.extend(pos_jumps[\"Registrar Account - ID\"].unique())\n",
    "\n",
    "    # Remove self\n",
    "    candidates = [c for c in candidates if c != account_id]\n",
    "\n",
    "    return list(set(candidates))\n",
    "\n",
    "find_successors(\"200129601\", \"FR0010135103\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0b834da2-f781-476d-84a6-aebb38fb8dac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T65s1a6YA9cEHH5iMo6k3T0rltfIo7Br99NNPFaBq1KhhtDy3kGtnZ6du375dYL8NGzYYKrvyX2tdu3ZVgJoyZYrJ4/Xt21cB6rnnnjNanlso7tKli8n9lHq4yonciq0vvviiwD46nU41aNCgyPQt7Hxq1aqlgBK9PVZK/8PTyclJASZbaty+fdvwhvHe+1HLli0VoH7//XeTYa9cuVIBasiQISWKi1IlS/dHURGQv0Io19mzZ5VGo1FardboR+LjqJywsrJSV69eLbBfdna2qlixogLU8ePHTYadW1n4+uuvG5b17t1bAYX+MLofx44dM9zHC5N7/hUqVDB5r//f//5nMl8XJTk5WVlaWiovL68C64q7zzyMkhz3fvNf7nU9ePBgk/v16tVLAerHH380LHvQ7z63QrZRo0ZGlUT5w81tAWeqUtuUadOmKdC3VDElNDRUWVlZKS8vL6Mf+4+qcsLU8ysmJsaQn994440C60+cOKFA36Iwvwd9BhWWh+3t7ZWLi8v9nZhS6uLFiwpQbm5u972vEOLvyxIhyqC2bdtSvXr1Qtdv3bqViIgIo2U6nY4tW7YAMGLECJP7NWvWDEdHR06dOkVaWhq2traGdenp6Wzfvp1jx44RGRlJeno6SimSkpIAuHjx4gOfT9OmTfH29i6wvEaNGgB07tzZKC751587d47w8PAC6x4mvmPHji2wzMbGhhEjRjB//nz27NlTomnYcvsu9+rVCw8PjwLrBwwYgIuLCwkJCUbLd+/eTWpqKl27dqVSpUomw+7UqROLFi3i0KFDTJo0qdi4FKe0vl9TaQkwZswYjh8/zp49e3jnnXcKrB86dKjJ/XLTtLBwJ0yYwNSpU7l8+TLh4eFUrFjRaH2PHj0oX758gf369u2Lh4cHMTExnDx5kjZt2pCVlcXBgwcBCu3jPGHCBDZu3Mju3btNri/sPB5GaGgoV69eBUyng0ajYfz48bz22mvs3r3bZPr269fPZNi1a9fmwoULhIWFlSguJ0+eJCkpCU9PT5MDHZYvX54ePXoUGFU+Ojqao0ePYmdnV2hccsdMOHToUInikl9ppHuuhg0b0qhRowLL69evT+PGjTl58iT79u17rFM1Nm7cmKpVqxZYfurUKcLDw6lWrRpNmzY1ua+pdG7RogWbN29m4sSJzJo1i44dO5q8B5dE7rPI1D3wXsOHDzd5nLFjx/LKK68Umq8PHTrE/v37CQkJISUlxTD+grW1NVFRUcTFxeHm5lYg3Ie9Th70uA+a/4rab+vWrUb7Peh3v2nTJgCGDBmCpWXBYrBWq6VDhw6cP3+eQ4cOUa9ePZNh55cbZmFlj0qVKlGjRg2CgoK4fPkyNWvWLDbM+9G7d+8Cy9zd3Q33fFPrc8sf95YvHvYZdK8WLVqwZ88exowZw+TJk2ncuLHJcVnulZuf4uLiyMjIwNrauth9hBB/f1I5IcqkZ599tsgBoTp16lSgciImJobExEQAKleuXOwxYmJiDD+MDx8+zIgRI4oc3C437Afh6+trcrmjo2OR652cnABIS0szWv4w8XV1dcXV1dXkutyB7UJDQwsNN7/c7XL3u1fuAJxnzpwxWn7t2jVAP4hZ/kHzTImKiipRXIpSmt9vYedeXFr6+/ubXJ5b+C4sXFdXV9zd3YmNjSU0NLRAwbCw/XKPGRMTY4hTTEyM4doqbL9q1aoZxauk5/Ewco/l4eGBs7PzA8WrsDyVG969eaowuWlV1HmaSrvr16+jlCI1NRUbG5sij/Eg13hppHuuoq6hKlWqcPLkyRLfIx6Vws43915y9erV+7qXvPHGGxw4cIAdO3bQq1cvrKysaNiwIR06dGDkyJE0b968xHHLrXwt7FrNr7C0dXJyMvyQzJ+vIyMjGTJkCAcOHCgy3MTERJOVBA96nTzscR80/93Pfg/63efu99577/Hee++VeL+i5IbZvn37YreNiop65JUTRZUxYmJiTK7PLV+kp6cbLX/YZ9C9Fi1aRN++ffnpp5/46aefDIOEdunShaeffrrY7xz0s+GYesEjhPjnkcoJ8Y+Rf8aFwmr888v9wZCSksLAgQOJiIhg/PjxTJw4kerVq+Ps7IyFhQWXLl0iICCgyJHCi1PcW4KSvEXI9Tji+zD7lkTud1W9enXatm1b5La1atV6qGM9jvQqSmHh2tnZlcrxSuJRnqs5z6Mo95OnSkPuNe7o6MiQIUMeefgPk+4PMjvNvR51fikuToWdb+5+5cuXp2fPnkWG4enpafi/vb09f/75J8eOHWPr1q0cOnSIQ4cOcfz4cebPn89LL73El19+WaK451b2PkwFdn750/bZZ5/lwIEDtG7dmlmzZtGwYUPc3NywsrICoGLFity+ffuR32ce9rgPmv/uZ78H/e5z92vXrp2hkrMwdevWva+4DB06FAcHhyK3LUkLm/v1KMsYj1rt2rW5ePEi27dvZ9euXYbWOLt27eL9999n6dKlPPXUUwX2y9/i0lQFmBDin0kqJ8Q/hqenJ3Z2dqSmpvLpp58aFUaKsm/fPiIiImjSpAnfffddgfWXL19+1FF9KA8b3/j4eOLj4022nsidAtXHx6dEcclteZK7nyk3b94ssCy3ZUtAQEChUws+KqX9/V6/ft1kE/j7TctclSpV4sKFC4Y3cfdKSEggNjbWsK2p+BTm3jh5eHhgY2NDeno6165do0GDBgX2yY1HYd1vSkPusXJbQ5l6I/244lWSa9zUutxrXKPR8N133z3WHwe5zZ9zuyzdy1SezO9+rqHHFafC5Kazh4fHA91LmjdvbmglkZWVxR9//MGYMWNYtGgRQ4cOpXPnzsWGkftGtyTTTxaWtklJSYb9c9M2OTmZzZs3o9Vq2bx5c4F7dnJyMnfu3Cn2mPfLXMe9Xw/63efuN2DAAKZOnfrI4nL58mWmTZtGs2bNHkmY5vKwzyBTLC0t6d27t6F7SWJiIvPnz2fWrFm88MILDBo0qEClTm5+yF8pJoT45zPvqyUhHiELCwu6d+8OUOg83KbkPmQLa1r4888/F7pv7gPz3vnLS9PDxDfXTz/9VGBZRkYGv/32G5DXT7c4HTt2BPRjgOTGK7/169cTHx9fYHnXrl2xtrZmz549REZGluhYD+pRpFdRTKVl/uUlTctcudv/8MMPJtfnVrDUqFHDZMFw+/btJtN08+bNxMTE4OTkZOifbWlpSbt27QAKLdznHq8kP9LulfuD9H7zh4+Pj+GNpql4KaUMyx8kXvejadOmODo6Eh0dzfbt2wusj4iIMLm8YsWKNGjQgKSkJLZu3VqqcbxX7nURHBxcYJ1SyjA2T2HOnj3L2bNnCywPDAzk5MmThj75uUryPT9snArTvHlzPD09CQoKIjAw8IHCyGVpacnQoUMNb+FPnz5dov3q1q2LtbU1oaGhhVa+5Fq1alWBZvSQd7+oXr26Ia0SEhLIzs7G2dnZZGXyzz//XCotvsx13Pv1oN/9E088Aei/i0d1Hrlh3k/ZAx78HlmaHvYZVBLOzs7MnDkTV1dXUlJSuHTpUoFtzp8/D1DoeCJCiH8mqZwQ/ygzZszA2tqaN954gx9++MFkU+Hz58+zZs0aw+fatWsD+vEPgoKCjLb95ptvDD/YTcl9w/WwheL78TDxzTV79mzDgx/0TVKnTZtGaGgolStXLnEz9Pbt29OkSRPu3r3Lyy+/bFTovnXrVqFvpcqVK8crr7xCcnIy/fr149y5cwW2SU9PZ/369Vy4cKFEcSnMo0ivoixevNgwgFiuzz77jKNHj+Lk5MSECRPuK7znnnsOZ2dnTp48yYcffmhUeD516hRz5swB9H3mTUlNTWXixImkpqYaloWHh/P6668D8OKLLxoNyJe7fPHixezcudMorGXLlrF+/XqsrKyYPHnyfZ0H5OWPe9O9JHKvndmzZxuNWaKUYs6cOZw+fRpXV1eee+65+w77ftjZ2fH8888D8Nprr3H79m3DOlNpnV/udzV+/Hg2bNhQYL1SiiNHjpis3HgY3bp1A/Q/ePOnfWZmJtOmTePYsWNF7q+UYuLEicTFxRmWJSQkMHHiRJRSDBkyxGhcHy8vL6ytrblz547JSspHEafCWFlZMWPGDJRSDBo0yOQYCdnZ2ezatYvDhw8bli1atMjkILh37tzh+PHjAPj5+ZUoDnZ2drRq1QqdTseRI0eK3DY8PJypU6eSnZ1tWBYcHMz7778P6K+xXOXKlcPNzY34+PgClaCHDx/m7bffLlH87pe5jnu/HvS7HzBgAM2bN+fo0aOMHz/e5LgScXFxfPXVVyWuNHjjjTdwdXVl/vz5/Pe//yUjI6PANtevXy9QGW6OMkRxHvYZlF9KSgrz5883mcb79+8nPj4eCwsLky2xcgcx7dKly4OeihDi7+hxTAkiREnlTkNW2HRzuXKnzzI1/dbKlSuVvb29ApSPj4/q0aOHGj16tHriiSeUj4+PAtSIESOM9hkwYIAClLW1terRo4caOXKkqlWrltJoNOrdd98tdJq8qVOnKkB5enqq4cOHqwkTJqgJEyYYptUsbirF4qYRK2z6vQeJb+50f76+vmrQoEHKyspKde/eXY0cOdIwbaODg4PJuciLEhgYqLy8vBSgKlasqIYPH6769u2r7O3tVatWrVTr1q0LTCWqlH4++SeffFIBSqvVqsaNG6shQ4aoESNGqLZt2yoHB4dCp28sTGFTiT7o91sU8k0lqtFoVIcOHdSoUaMM079aWFioVatWlTiO+W3YsMEwPWWtWrXUqFGjVNeuXZWlpaUC1Pjx4wvsk3stjRkzRrm7u6vy5curYcOGqX79+hnSsnXr1iolJaXAvtOnT1eA0mg0ql27durJJ59UTZo0MZzH0qVLC+yTmwfv/V7zS09PN0z117hxYzVmzBg1YcIE9fHHHxu2Kewa1+l06umnn1aAsrS0VF27dlWjRo1SAQEBhilTN2/efN/pW9yUlqbcvXtXtWjRQpEzLXC/fv3UsGHDVPny5ZWHh4caM2ZMofl4wYIFhu+tevXqqk+fPurJJ59U3bt3V97e3gpQ06ZNK3FcSpLuSuVd83Z2dqp79+6qf//+ysfHRzk7O6vJkycXOW1n//79VdWqVZWrq6saNGiQGjx4sHJ3dzdMH2hqWuShQ4cqQFWuXFmNGjXKcC98VHEqajpapZR64403DHmybt26asCAAWrkyJGqU6dOytXVVQFq8eLFhu0bNmxomEaxX79+avTo0apHjx7Kzs7OMFWrqWkmCzN//nwFqDfffNPk+tzr7sUXX1S2traqSpUqauTIkapnz57K2tpaAWrQoEFG00wqpdRnn31mOK+WLVuqUaNGqbZt2yqNRqOefvrpQq/3B5lW+XEct7D8V9x1XdSz8n6/e6WUCgsLU40aNTI899q0aaNGjhypBg8erBo1aqQsLCwUYHLa18Ls3btXeXp6KkB5e3urLl26qNGjR6u+ffsanrEtW7Y02ufOnTuG+3Pbtm3VuHHj1IQJE9R3331XomMWl27FfR+56XavB3kGmcqrcXFxhmd8w4YN1dChQ9WoUaNU69atlUajUYD6v//7P5Nxy50uOjAwsNh0EEL8c0jlhChTHkXlhFL6H+KvvfaaqlevnnJwcFC2trbKz89PderUSX300UfqypUrRttnZGSoTz75RNWvX1/Z29srd3d31aNHD7V9+3bDj3pTP15TU1PVm2++qapXr24oYOYvCJRW5cSDxDf/8szMTPXBBx+oWrVqKRsbG+Xu7q6GDBnywIWAmzdvqnHjxqly5copa2trVbVqVTVt2jSVnJxcbOFp8+bNavDgwapSpUrKyspKubq6qtq1a6uRI0eq5cuXq+Tk5BLHo7CC2IN+v0XJX6hbvHixatSokbKzs1POzs6qV69e6uDBg/cVx3sFBQWpsWPHKh8fH0O6dO7cWa1YscLk9vmvpWvXrqlRo0YZvo/q1aur//u//ysyLbds2aJ69+6tPDw8lKWlpaFy48iRIya3L+mP5HPnzqn+/fsrLy8vpdVqFaA6duxoWF9cZcHy5csNPzKsrKxU5cqV1bhx49SFCxdMbl8alRNKKZWcnKzee+89Va1aNWVtba3KlSunRo8era5fv15sPj537px6/vnnVY0aNZStra2yt7dXVatWVT179lRffPGFCgsLK3E8SpruaWlpavr06apq1arKyspKeXt7q1GjRqkrV64Uel/KvzwyMlK98MILysfHR1lbW6vKlSurV199VcXExJg8XkxMjHrhhReUr6+vsrKyMvmj52HjVJyDBw+q0aNHKz8/P2VjY6OcnJxUzZo11cCBA9WSJUtUbGysYduNGzeqiRMnqsaNGysvLy9lbW2tfHx8VKdOndQPP/ygMjIyij1efnFxccrBwUFVrFhRZWVlFVif/7o7efKk6tevn/Lw8FA2Njaqbt26av78+YVWhvzxxx+qTZs2ytXVVTk6OqpmzZqpRYsWKZ1OV2qVE6V13NKonFDq/r77XGlpaeqrr75SnTt3Ntz3vL29VaNGjdTLL7+stm3bVkwKFRQREaHee+891aRJE+Xk5GS4rtq0aaNmzJihzp49W2Cfffv2qW7duik3NzfDPbIk17tSpVc5odT9P4NM5dXMzEz11VdfqVGjRqlatWopFxcXZWdnp6pVq6aGDBmidu7caTKskydPKkB17ty50HMXQvwzaZQqAx0HhRCl7saNG1SpUgU/P78iB/cTJZM7dV1ZuYXOnDmTWbNmMWPGDGbOnGnu6Ii/oWXLljF+/HjGjh1b6gPV/hNNmjSJL7/8kvXr19OvXz+jdePGjeOHH37g+++/L3KabCEEvPLKKyxcuJB169bRv39/c0dHCPEYyZgTQgghhBAPacaMGbi6uhrGjxBC3L9bt26xZMkSOnXqJBUTQvwLSeWEEEIIIcRD8vLyYubMmRw/fpzff//d3NER4m9p1qxZZGZmsmDBAnNHRQhhBlI5IYQQQgjxCEyePBmlFEOHDjV3VIT4W1qyZAlZWVk0aNDA3FERQpiBjDkhhBBCCCGEEEIIs5KWE0IIIYQQQgghhDArqZwQQgghhBBCCCGEWUnlhBBCCCGEEEIIIczK0twRKA2zZs0ydxSEEEIIIYQQ4l9pxowZ5o5CqXlR4/xYjvOVSnwsxylL/pGVEwAzJj1r7iiUWbMWLgFgeg1bM8ekbJpzOQ2AdzMvmzkmZdMHVjUAmO5r5oiUYXNC9P9Or+ti3oiUUXMCEwCYbnPbzDEpm+akVwBgeh0nM8ek7JoTlATA9KblzRyTsmnOiTsATLePNHNMyqY5Kd4ATG/gbuaYlF1zzsYCML2hh5ljUjbNORMDyHOsMLnPMSHu1z+2ckIIIYQQQgghhHiUZFyE0iNpK4QQQgghhBBCCLOSlhNCCCGEEEIIIUQJaDUac0fhH0taTgghhBBCCCGEEMKspOWEEEIIIYQQQghRAvJ2v/RI2gohhBBCCCGEEMKspOWEEEIIIYQQQghRAloZcqLUSMsJIYQQQgghhBBCmJVZKyeOHj1Kdna24fPGjRvp2LEjlSpVolmzZvz4449mjJ0QQgghhBBCCJFH+5j+/o3Met6tW7cmJiYGgA0bNjBgwAD8/f159913ady4MRMmTGDt2rXmjKIQQgghhBBCCCFKmVnHnFBKGf7/8ccf8+abbzJ37lzDsipVqvDxxx8zaNAgc0RPCCGEEEIIIYQw0Gpk0InSUmZajFy6dImhQ4caLRsyZAgXLlwwU4yEEEIIIYQQQgjxOJh9to6goCDu3LmDnZ0dOp2uwPqsrCwzxEoIIYQQQgghhDBWZt7u/wOZvXKia9euhu4dBw8epHnz5oZ1p06dwtfX11xRE0IIIYQQQgghxGNg1sqJ69evG312dHQ0+pyRkcG0adMeZ5SEEEIIIYQQQgjxmJm1csLPz6/I9WPGjHlMMRFCCCGEEEIIIYqmlfEwS43Zu3UUJSsri/Dw8MfetePrH5ezfc9+roWEYGttQ+P6dZn60nNU9StZPDb9uYspM+bQtX1bFs2bbVi+fc8+VqzdQODFy8QnJvLHsm+oXbO60b5zFyxi7eZt2NnZ8vrE5+jfs5th3ZZde1i3ZTtfffLhoznREjp+8w7fHTpHYHg0UXdT+WJEV7rVMl2xNHPjQVaeuMhbPVsyplXdEoX/7YEzfLbzBE+3rMPbvVoBEJ+azsLdJzl0LYzbCcm42dvStZYfr3ZugpOttWGbd/7Yx5Hrt/HzcGZO//bUqeBhCHf2pkP4uDkxvk39h0yBomk69ENbpzl4VYDMDFTIZXTbf4Po23kbWVqh7fUkmgatwMIKdeUsuvXLIDmx0HC1XQajqd8KXNwhOxsVfh3dn6sg9GreRh7l0fYahca3JlhYQkQIuh2/o64H69fbOaAd8gKaKnUg5g7Za7+F2zfzjtF3LCouEnVwyyNOFWPHQyL57kgQgRFx+mtocHu61axsWP/Oxr/447xxS6p2VSrwzYjOhYa54uRlVpy6TFjCXQCqe7owsW19OlSraNhmxtajHL5xh8i7qdhbWdKokievd25EVQ8XIOca2vgXR0Ii8XNzYk7vltQp727Yf/b2Y/i4ODK+Ze1Hkg6FOX49nO/2nyYwPIqopBS+GN2LbnWqGNYv3HmMLWevcCfhLlYWWupU8mJy95Y0rFyu0DAX7jzGol3HjZZV8XRl02ujCmyrlOKFHzZx4PIto2PHp6Txzu+7OHI9DD8PV+YM7kSdil6G/Wav34ePuzPj2zV6yBQoRuXqaFv2gHK+aJxcyV69GC6fyVtvZYOm0yA0NRqCnQMkxKCO70Kd3l9okJr6rdH2GWu0TGVlovv0lfsKV9NlKJr6rSEzHbXnD1TQ0bz9A5qgrd8K3e+LHjIBinf8ejjfHTijv08npfDFkz3uuYaOs+Xc1bxrqKIXk7s3L/Iaytbp+HLXCTacvkz03RS8nRwY2KQmL3ZqgsbESOUz1+1j5bFg3urdmjFtGgCQkZXNe2v3suvCDTwd7XmvXzvaVPcx7LN0/2luJ9xlet92jzA1Cjp+NZTv9hwnMDSCqMRkvhjXn2719c/fzOxsvthykH3B1wmNTcDR1obWNXyZ0qc93i6OhYa5cNshFm0/bLSsipcbm94ab/icnpnFx+v3svn0RTKysmkX4Md7Q7ri6eQAQHxKKu/8uo0jV27h5+nKnBE9qePjbdh/9uqd+Hi4ML5Ts0eZHAX5VEfbvBuUr4zG0ZXstV/DlbN5661s0HQYgKZGA7DNyQsn96DOHCg0SE2DNmjqtgTPnHtyRAi6fevhTt4zSPPE02jrtTLaT10PQvf7l/oPFpZoeo5GU70+JCei2/Eb3LyYt3/zbuDshtq56uHToBjHr4Xx3b5TBIZF6vPY073pVreqYf3CP4+w5exl7sTfxcrCgjo+Xkzu0YqGvuULDfOb3cfZEXiNa5Fx2FpZ0sivPK8/0YYqXm6GbVYeOc+m05cICo8iOT2TwzOew9nOxrA+Iyub91bvYlfQNTyd7HlvQCfa1Mh7vi7de5Lb8UlMH9DxEaeIMX36nCQwNIqopGS+GNObbnWrGdYv/PMIW85c0qePpYX+OdazdZHpU1yYJQk3Iyub937fmZM+Drw3sCNtauSV5x9X+pTGcwwAGzt93gxoDLb2kBiLbscquHa+wKaaVj3RdhqE7thOozxTVp5jQkAZr5wIDAykSZMmZGdnP9bjHj11htFDBlC/dgDZ2Trmf7WECf95k03Lv8fezq7IfUNv32Hewq9o1rDgD+KU1DSaNKzPE107Mf2j/xZYv+vAITb+uZOln3/MzVuhvPPhJ7Rr2Rx3VxeS7t7l86+/4/sFnzyy8yyplIxMAsq5M7hRDV5duavQ7XYE3+BMaBTeTvYlDvtcWBQrT1wkoJyb0fKopBSi7qbwRvcWVPNyJTzhLrM2HiIqKYXPh3cB4Ot9p0lOz2T1CwNYcewCMzYcYNXzAwA4ExrJ2bAo3nmiVYFjPmoa/9rojvyJCrsGWgu03YdjMW4a2QumQWY6ANonRqMJaIRuxf9QaSlY9B2LxZP/Ifvb9wsNV0XfRm38ARUbCVbWaNs8oQ93/uuQkgSAxdOvo2IiyP7uQ8jKQNu6F9qnX9dvczcBbccBaGzsyF40HW2LrlgMnED24v/TH8CnGprK1dBt+rHU0yglM4uAcm4MblCNV9eaftC2q1qBD3rnfV/WlhZFhlnOyY7XOjXEz80JgD/OXWfS6n2sHt+LGl6uANQt706/Ov5UcLYnIS2DLw+c49nfdvPni/2x0Gr5+lAgyRlZrB7fixUnLzNj61FWjesFwJmwaM6Gx/BOt6aPIAWKlpKRSUAFDwY3rcWry7cVWO/v6cK7/dpT2d2ZtMwsfjx4hue+38jW15/E3aHwe1J1bzeWPtPf8NmykKr+Hw+dNflj8+s9J0nOyGT1y8NYcSSQGWv3supl/axKZ0LucPZWJO+U8o9KAKxsUBGhqLOHsBj8YoHVmq5D0fgFoNv4PSTEoPGvjabnKNTdBOMfWPdQaanovp2Rb4EyWl9suNXro6nTHN1vC9C4eaPpPQZ1PRBSk8HGFm3HAehWfP6oUqFIKZlZBJTPvYa2F1jv7+nCu33b5l1Dh87x3LLNbJ0ystBraMm+06w4GsTcIZ2o7u3O+bAo3l2zB0dba55ubfyM2xF0nTO3Igvc/1ceCyYwPIrlzw9k/+VbvLlqJ/vfGoNGoyE0NpHfj19g1cTBjy4hCpGSkUlARS8Gt6jLq8s2GK1Ly8giKDSSF7u3olZFLxJT0/jwjz28/N06Vr02ushwq5f3YOkLeTONWWqNh0n7aN0e9gZf57MxfXGytWHO2l1MXraBX14ZCcDXO46SnJ7B6ilPseLQGWas+tNwzDM3wzkbcod3BhVeSfvIWFmjokJR5//CYuDzBVZrOg9G4xuAbtMPeXmh+wh9Xrh6znSYlWuigo+jwq9DViaaFt3RDpuE7vs5cDfBsJm6Fohu6895+2Vl5h23QVs05Sqj++W/aKrWQdtnPLpFb+lXunigadAG3U8fP5IkKE5KZhYBFTwZ3Kw2r/5csELf38uVd/t31OexrCx+3H+G55auZ+sbT+PuaDqPHb8ezqhW9alX2ZvsbMXn2/7i2aXr2TDlSeytrQBIy8yiXYAf7QL8+GzrXwXCWHnkPIFhkSx/aSj7L97kzRXb2T/9mbw8diyQVZNGPNrEMEH/HPNkcLM6vPrT5gLr/T1deXdARyq7u+jvQQdO89ySdWx9c0yh6VNcmCUJNy99hunT59ft7H9vQk76JPD70UBWvVL66VMqzzGtBdqRkyE5Cd3ab+BuPDi7Q3pKwW3L+6Fp1B4VGWq8vAw9x/5OZEDM0lOmKyfMZeln84w+fzR9Gq37DCbwwiWaN25Y6H7Z2dlMnfkBrzw7jhNnzpGYdNdo/cAnegD6CgxTrt4IoUXjRtSvHUD92gF8uGARoeG3cXd14ZMvv2HUoH5ULF/4W67S0qFGZTrkq4U3JSIxmQ+2HOabp3oycfmfJQo3OSOTN9fsZVa/tny974zRuhrebiwY3tXw2dfdmcldmjJt7V6ydDostVquRSfwRL2q+Hu4MKxpAKtO6t+mZGbrmLnxELP7t8NCW/q3D92PxgUj3eqvsXxnMVTyhxsX9bXaTTuhW/Ul6loQANlrvsHyP5+ATzXjlhD5qLPGhRDdll+wbNYJTXlf1LVAsHdE41mB7LVLIOKWfpvtv2HZqjuacj76B5pXRXRn/4KYO+iO78aieU4hV2uBxYBn9Pve84OsNHSoVtGoRYMp1hYWeBVSQDGlcw0fo8//6diQFacuczY8xlA5MbxRXsukSsCrHRow6LsthCUk4+vmxLWYBJ6o44e/uzPDGlVn1ZkrQM41tO0os59o+ViuoQ4BfnQIKLybW9+GNY0+T+vdltUnLnDxTgytq/kUshdYaLV4FVNZGBwezbIDZ1j50lA6fvSD0bprUXE8Ub86/p6uDGteh1XH9NdvZnY2M9ftY/agTo8lfbgWqL/mC6GpVBV17jCEXAJAnTmApnF7NBX8UUVUToAqsvVSceFqPCqgQi7BnRDUnRA03YaDiyekJqPpNBh1ah8kxj3IGd+3DjV96VCz8NZ9fRvWMPo87YnWxV5Dp29F0KWWHx1zrs1Kbk5sPnuFc6GRRttFJCbzwcaDfDO2NxN/Mv7Rdi0qji61/KlRzp3K7s58uvUwcSlpuDvY8f6G/bzesyWOOa3hSlOH2lXoULuKyXVOdjYsfdF4KvPpg7owYsFywuMSqejmXGi4FlotXs4OJtclpaaz+uh5Phndm1Y5b2o/GNGTvh8v48zNcBr6VeRaRAxPNArA38uNYa3qs+qw/nrNzM5m5u87mT28++PJY9eDUNeDCl2tqVgVFXgYbl0GQJ09iKZhOzQV/FCFVE6oTcuMP2/7BU3NRmj8AlCB+d7MZmcVng89yuvDj7mNSohG22kw2DlC6l203Uei27cOMtLu61QfVLH36UYBRp+n9W3H6uNBXLwTTevqpstQ3+SrPAb4cFg32s1ZSlBoJM2qVgJgTE7LtKNXQ+/dHcjJY7WrUKOcB5XdXfh08yHiktNwd7Tj/T/28HqvNo8nj9Xyp0Mt/0LX9218b/q0Z/WxotOnuDBLEu61yDi61KlCjfIeVPZw4dPNB/PSZ+0eXn/i8aRPaTzHNA3agK2DvoIud8bDhJiCG1rZoO3/DLotP6Nt29s4jDL0HBMCzFzx06RJkyL/Ro4cac7oGSQlJwPg4lx4AQXgy+9/wsPNlWH9ehe5XWFqVa/G+QsXSUhM4vyFS6Slp+PnU4njZ84RePEyTw8r/bdLD0KnFG+t3cczbepTw9ut+B1yzNn8Fx1rVKZNzgO4OHfTM3C0sTa8mQoo586R6+Fk6XQcvBpGzZzWF0sPnqWFf3nqVfS8/5N5FGxzfgym6K8bTaUqaCwtUVfzPZSib6Pio9H41jARgAkWFmiadUalJqNym8Sm3EVFhaNt3A6sbECrRdO8C+puAiosp4vEnRA0Vevq11WvD3f0lRia9n30XT/CrxdywMfvWEgE7b5YTe9vNjBr21HiU9NLvG+2TsfmoBukZmbRsJLp7z0lI4u1Z6/h4+JAeWf9dxTg7caRmxH6a+j6bWrmVGosPRJEC99y1MvXTaisyMjKZuWxIJxsralVvuj4hcQk0PGjH+jx6c+8sXIH4fFJRutTMzJ5Y+UOpvdrb7ISI6C8B0euhZGVrePg5RBq5hxv6b7TtKhakXr5mp+bkwq7pm9u7uiqX+BbE9zKoW4U/mMLAGsbtBM/QPvSh2iHTATPCvcVrooMRVPBD2zsoZwvWFpBXJS+VVJ5X9TxwluamVNGVjYrjwcXew01qlyOw9fCuBEdD8CF2zGcvHmH9vmaROt0irdW7eKZdg2pUc69QBgB5T04efMOaZlZHLh8Cy8ne9zsbdlw+jLWlpZGXU/KkqS0dDQajJrPmxISHUfHWV/T44OlvPHzZsLj8n5kB4ZGkJWto3W+SqOq5dyp4ObE6Rv6bn8BFb04cuWWPo9dvEnNCvpuU0t3H6dFNR/qVS68yfvjpMKvoanWABz1XeKoXAPcvVE3LpQ8EEtr0FqgUu95q1u5BtqXPkI74f/QdB+p7zaSKyoMTaVq+rzlXxt1Nx5S76Kp3VzfwuKy8YuNsiIjK5uVR8/r81iFkpdFktL0zz0Xe9sS7xNQwZOTN27r89ilEH0ec7Blw6mLWFta0K1eteIDecwysrJZeeT+0+dBwjVOn5t4OTmUyfR5kOeYpkZD/X49RqF95WO0E95D07oX3NMSUtNjJOrqebhZML/+XZ9j5qbRaB7L37+RWVtOBAUFMXLkSKpUMV04uX37NpcuXXrMsTKm0+n48PMvadKgHjWrFV6IOn7mHL9v2MwfP3z7wMdq36o5/Xt2Y+iEidja2DDvvWnY2dky65PPmTt9Gr+uXc9Pv6/FzcWF2dOmUKNq2SjULTlwFguthqda1inxPpvPXyPodgwrn+tXou3jUtJYvO80w5rkvUF+rl0D3t90iJ5frKKSqxOz+7fjRkwC685c4dcJfZm58SCHroZRt6In7/drZxirolRpNGh7P4W6eRFym845uqCyMiHtngLZ3QQ0ji4U1W5BE9AI7fBJYGUNd+PJXjYPUvJa5GR//xEWo/+DxXvf6ltAJCeS/cPHhmPp9m1A2388FlPmQ1yUfswJj3JoG7cn++tZaPuPR1O9PirsOro/lkB66iNOkJJpV7UC3QIq4+PiSEh8Ep/vPcMLK3ez/OkeRb41vBQZz6iftpORlY29tSVfDG5PdU8Xo21+PXmJT3efJjUziyruziwZ2QVrC32Xkeda1eH97cfo+dV6Krk4Mrt3K27EJrLu3HV+HdODmVuPcuj6bepW8OD9Xi0ezzVUiD0XbvD6b3+SlpmFl6MDS8b3w62ILh0NfLz5YEgXqni5EpWUzKJdx3n62z9Y/+oIHGz05/HR5kM09i1H10J+ID7XsTHvr9tHz/m/6PPY4E7ciI5n3amL/PriYGb+sZdDV25Rt5I37w/qiJNt0T/kSov68zfoNRqLSR+hsrNB6VBbf4ZbVwrfJ+YObP4RFRkGNnZoW3ZH+9Sb6JbOgqT4koV7PQgVeBTtuLcgM1Pf5D0zHW2PJ9Ft+gFN445omnaC1GR9s/X849CYwZ4LN3l95Y6ca8ieJeP6FHkNPdehMcnpmfRZ8BsWGi3ZSsfkbi3o1yivUnXJ/tNYaLU81bqeyTAGNw3gUkQM/RasxM3BlvkjupGQms7CncdZNqEfC/48yuZzV/F1d2bO4E6UK6QVwuOUnpnF/E376d2oFo5FXNMNfCvwwcheVPFyIyoxmUXb/+LpL39j/dSxONhaE52UjJWFBc52xj80PR3tiU7SV14/16UF76/eQc+5S6nk5szs4T24ERXHumOB/PrqKGb+voNDF29St3I53h/WHadiKktKi9q5CnqMwmLih3l5YftyCC08j91L03EgJCcY/0C6HoTu0mn9215XT7Tt+6MZ+hK6Xz4FpVDnDoFXRbTjp+vz0frvwNYeTbs+6FZ8jqZdXzS1mkF8lD6P5esuYg57gq/z+q/bScvMxMvJgSUTBhSZx/LT6RQfbdxPE78K1Cim4jm/wc1qc+l2DP3m/4Kbgx3zR/fS57E/j7Ds+UEs2HaYzWcv6/PY0K6UK2IcldK2J/g6ry/flpc+zw4scfo8aLiDm9fm0p1o+v33F/09KDd9th9m2QuDWbDtLzafuYyvuwtzhpkvfR7kOYarp6Elkm7lQjRuXmh6jtJXAh7cBICmdjM05XzR/TDXdBh/s+eY+Ocza+VEvXr1aNmyJRMnTjS5/vTp03z7bdE/9tPT00lPN37DmpWV9cjiOOu/C7h87TrLv/qi0G3uJqfw5vtzmf3W67i7uhS6XUm88uw4Xnl2nOHzwqU/0Lp5EywtLVi87Gc2/LSU3Qf/Ytrsj1jz/dcPdaxHITA8mp+OBLH6hQElruG7nXCXuVsPs+TpXthYFn8J3k3P4MXl26nm5crLnZoYljvZWvPJkE5G247/YQtTuzdnw7mrhMYlsWnSUGZsOMCivaeY1rPlfZ3bg9D2HYumnA/Z384ufuMSUNeCyf7yXbB3RNu8MxYjJ5H91UxDE1htv7Gou4nolsyGzEy0zTph8dTr+nEl7sZDeiq6VcaDGGmfeRvd1l/RNGwD7t5kf/4G2oET0HYehG7r8kcS7/vVu46/4f81vV0J8Haj51frORoSSWv/wt8c+ns4seaZJ7ibnsm2CyG8s/EwP4zuZlRB0beOP639yxN9N43vjwYz5Y8D/PJ0D2wsLfTXUP+2RmGOX76TqZ0bsyHwBqHxd9n0fD9mbDnCooPnmda1yb1ReGxaVK3EmknDiU9OZdXxYKas2M6KFwfj4Wi620b+5scB5T1o4FOObp/8zNZzVxnSrDa7gq9z5FoYq18eVugxnWxt+GREd6Nl45euY2qv1mw4fYnQuEQ2vTaKGWv3smjXCab1bvNoTvY+aZp2RlOxCtm/fwkJsWgq10DTfRQqKcHkmyIAwq/r+8Ln0IVdRfvcTH2f3P0bShyuOrARdWBjXlza9kHdvAC6bDRtnkC3dDaa6vXR9h2HblkhhcPHpEXViqx5eSjxKWmsOhbMlBU7WPHiIDwK6U619fxVNp65zCfDulLd240Lt2OYu/kQ3k72DGwSQGBYFD/9dY7VLw0p9P5vZWHBe/3aQ7566HdW7+ap1vUIvh3NzuAbrJ00lKX7T/PhxoMseLJHaZx6iWVmZzPlx40oBTOGdi1y2/zdRAIqetHArzzd5ixh65mLDGlZsoGYnexs+OSpPkbLxi9exdR+HdhwMpjQmAQ2vTWOGSv/ZNGfh5nWv5QH7SuEpklHfV5YsxgSY9H41EDTLWfMiXwDVBa6f4vuaGo1Rffb5/puHDnUhRN5G0WHo4sKw+L596FyTQi5CDodasdKo0p8Ta+nUCf2gHdlNNUbovvhQ/14Fl2HoVu35JGd84NoUc2HNa+O0Oexo4FMWb6VFS8PK/Q+nd/sdXu5fCeWnycOua9jWllY8N7AjkDetfHOqh081aYhweHR7Ay6xtrJI1m69yQfrt/HgqcfrHXvo9Cimg9rJo8kPjknfX7ZyopJJUufBw1Xnz6djLZ/Z+UOnmrbkODwKHYGXmPtf0axdM8Js6bPAz3HNBpITtJXYiiFiggBJ1c0LXvoKyec3NB0G45uxQKjfHevv9NzrKyQMSdKj1nTtm3btly8WPhDzcnJiQ4dOhQZxty5c3FxcTH627+/mJFtS+j9/y5gz8HD/LBwPuW9vQrd7lZYOGG37zDxzXep074bddp3448t29l14BB12ncjJDTsgY5/9UYI67ftYPJzz3D05BmaNWqAu5srT3TtRODFy9xNNjHgzWN2IiSC2ORUun72G/Xf/576739PeMJdPt5+lG6frzS5T+DtGGKS0xj69TrDPsdu3uHnI0HUf/97snP7zQHJ6Zk8//N2HKyt+N+IrlhZFH7Jrjl1CSdba7rW8uPYjTt0reWHlYWWnnWqcOym6XE+HiVt3zFoajXWD06ZGJu34m4CGkurvO4euRxd9AW7omSmQ2wEhF5Ft3YJZOvQNNUXQDRV66IJaIxu5ZcQchlu30C3YRlkZqBp0t5kcJomHSA1BXXhJJoqtVFBJ0CXjTp/FE2V0p2R4n5UdnXEzc6GkLikIreztrDAz82JuuXdmdKpEQHervx03Pie4mRrjb+7M818vflsUDuuxyay49Itk+GtOXsVJ1srutb04VhIBF1r+uivoVq+HAuJeGTn9yDsra3w83ChoW955gzujIVWy+oTJW9S7Wxng7+nCzdj9NfckWth3IpNoNWcpdR/7yvqv/cVAP9Zvo2xS9aZDGPNiQs42drQtU4Vjl0Pp2vtKlhZWNCzXjWOXX+w+9xDs7RC03EAul2/w5VzEBWmn0XgwnG0LbsXv38unU4/doub94OH614OTd2WqH3r0fjWRN26Aql3URdOoCnvB9bmeeudy3ANVS7HnMGdsLDQFHkNfbr1MM92aETvBtWpWd6D/o1rMrZNA77ddxqAEzdv6+//n/5C/f/7hvr/9w3h8Xf5eMthun36i8kwj1wL42pkHE+2qsux6+F0qOmLvbUVvepV4+j18NI47RLLrZgIj0tk6QtDimw1YYqznS3+Xm7czOkG4+nkQGZ2NompxmMiRN9NMczWca81R8/jZGdD13rVOXY1lK71qunzWMOaHLtq+r5V6iyt0LTvj273arh6HqLCUaf2oi6c0M/wUQxN865oWvZAt2ohRBXzHSfEoFKS0LgVUuaqXAONZwXUqb1ofGvoB+7LzEBdOKnvamJm9tZW+Hm66u/TQ7vq79PHiuleBsxZt5e9F26w7PlBlH/IN/dHroZyNSKWJ9vU59i1UDoE+OnzWIPqHDXXfTqHIX38yjNnWFcstJoSpc+jDFefPjE82aYBx66G0aGWf0761ODotb/Zc+xuAsRFGI0dpmLuoHF0Aa0FlPdF4+CMdvw7aN/8Eu2bX6LxrYmmWWe0b35ZoPsHUOafY+Kfz6wtJxYsWFDk+mrVqrF79+4it3n77beZMmWK0bJPPnm4GS2UUsye/wV/7j3AT19+RuWKFYrcvqqfLxt+Wmq07PNvviM5JYV3/zOJ8uXuv1+2UooZH8/nrVcn4mBvh06XbWgRkpWln71El+9HvLn0b1CN1lWNBzp87udt9G9QjUGNaprcp3WViqybOMho2bvr9lPF04Vn2zYwNOO/m57Bcz9vw9rCgi9HdS+ylUVsciqL953m5/H6N1DZSpGVrU+fTJ2ObF3pDvqo7TsGTZ1mZC/9QN9XLx8Vdh2VlYWmal1U0DH9Qs8KaFw9USGX7/NAGjSWVvq3SFY5XQzUPdeBUqYfOPZOaDsPJPubnFYdWi3kdG/AwkL/uYy4k5hCfGr6fQ2QCfpTz8wqYnYfpd8mI6tg3olNSWPxwfP8/JS+IJCtu+caegwDh94PpRQZRZ3rPZLTMwmJTaRfI30l2bMdmjC0mXGF1IAvVjKtdxs6mxiALDY5lcW7j/PzcwOBnPTRPb48ViitBRoLy4IDu+p0pvNBYTQa8Kqk//H1gOFqe41Gt2uVvlJRq0VjYaHPq9qcfKYpO3kM9LeOoq6h1MwstPecq1arQZeTJv0b1SwwmOZzyzbRv1FNBjUxHqQO9N0lZm84wMfD9D/aspVC5VxDWTqdIVxzyK2YuBkdz7KJw3B9gKbmyekZhETH06+pPl/V9SmHpYWWw5dD6NFA/zy8HhnL7bgkGvkXLFfE3k1h8Z+H+TlnZgWje1B2GcxjhT1r8tG06IamVS99xURESPHHcnQFOwfTFfcWlmi7jUC3aVnOsbWQOwORhUWZy19Q/H1aKcUH6/exI/Aay54fhI970WObFSc9M4vZ6/by8Qh9l8hsnULllBGysnXozHUNFeJ+n2MPG256Zhaz/9jDxyN75t2DsvPdg8xVrn7A55gKvYqmbgtAAzntizTu5VBJ8aDLhpsXyF5iPCucts8YVMwd1OHtJgdE/7s9x8ylkMnPxCPwt5+tw8bGBhsb41o8yxJ0FSjKrE8XsPHPnSyaNwcHe3uiYvRvwZ0cHbDNOdab78+lnJcnr098Dhsb6wLjUTg76Wu+8y+PT0zk9p1IIqOjAbgeon8L4unhjpeH8UBiq9Zvwt3VlS7t9M2kmzSox/+W/sjp80HsO3yU6lX8DMcobckZ+h81ucLikgi+E4OLnQ0VXRxxvWfgJkutFk9He6rka1o//sctdKvlx+gWdXCwsSowcKadlSWudjaG5XfTM3j2p22kZWYxb0RH7qZncDc9AwB3e9sC4xDM3XaEca3rGforN6nszfqzV2hTrRKrTlykSeXSG7hP228cmgatyf7lM0hPyxswLC1FP2BXeirqxB60vUejS72LSk/Fou8Y/ejI+WbqsJj8MbrtK1HBx/UjK3cagC74hL57hr2TvvbcyQ3d+SMAqFuXITUZ7ZAX0O3+AzIz0DbrDG5eqIunC8azz1PoDmyBJP2oy+rmJbSN2pJ95Zx+sM2bpTe+S3JGJiFxeWNlhMUnExwRh4utNS521iw6cJ4eAZXxdLAlJP4u/919Cl83J9pVySvAj/91J91q+jC6qf5Hz/w9p+lQtSIVnO1JzshiY9ANjoZE8O0I/Ywkt+LvsiX4Jm2rVMDNzoaIpBSWHA7CxtLC5Mwhc3ecYFyLWpTLGRiyiY8X6wNv0KZKBVadvkITn8JbTz10+qRnEhKTVxgPi0skODwaF3sbXO1t+XrPCbrU8sfTyYH4lDSWHz5PRGIyPfMN5DV+6Xq61anC6JwpHj/ecojOtfyp6OpIZGIKC3cew0KjoU/OrA1eTvYmB8Gs4OpksoA8d9NBxrVtaOiP28SvPOtPXaJN9cqsOhZEE79SHLjPygbyvUnVuHqivH0gLRkS41Ahl9B2HowuK1M/BZtvTTT1WqF2/Z63T99xkBSP2vuH/nPb3vqBY+OiwNYOTcse4OyOOnNQv0NGWonCNYTfsJ1+PJgr+pkLVOhVNG37QsUq+orJqPBSHdNFX/mU/xpKIvh2NC52udfQSbrU9sfT0V5/DR0JJCIpmZ71qhr2Gf/dBv011Eo/fkTnWn58vfcUFVwdqe7tTvDtaH44eJbBOXnQ1d624P3fQounkx1VcgaXzW/xnpN0qOlLnZzBihv7lufTrYcZ1CSA5YcDaexbetdQbsVBrrDYBILDInGxt8XL2YH//LCR4NAIFj07iGydIioxZyBse1vDtMbjF6+iW/3qjG7XGICP1++lc92qVHRzJjIhmYXbDmGh1dKncS1A32VjSIt6zFu/Fxd7WxxtbPhg7S4a+VWgoZ+Je9AfexjXsSnlXPTTIzfxr8j6E8G0CfBj1eGzNPEvesajh3JvHnPx0Oex1GRIysljHQfp80Jut446LVB71uTt03uMPo/tX6//3KI7mrZ99JUJibHgkHNfyUjX//CxskHTpjfq0il9V0VXL7QdB+rz5I3gAlHUtH5C31IidzynsGtoOg5Cnf8LTeMOEHattFIHyLmG8t+nYxMJDo/CJScffL3rOF3qVMHTyZ745DSW/3VOf59ukDdr1Phv/6Bb3aqMbtMA0Hfl2HT6EgvH9MHBxoqonLFInGxtsLXSl2WjkpKJTkoxHPvSnRgcbKyo4OpUIP8t3nWMDgF+1Kmk/y4b+1fg082HGNSsNssPnaOxX9Ev20olfexscXWw5etdx+hSuyqezrnpc1afPvXzpc83a+lWryqj2zQsNsyKbk6kZGSWKNxci3ceo0OAf176+FXg080Hc9LnLI1NVBo+MqXwHFOn9qFp2glN9+Go47vB3RtN6176/4M+r0Xf01opM0Ofr+9djvmfY0JAGamcOHr0KH/99Rd37uib3pcvX57WrVvTokULs8Tn17X6B+vTL79mtHzuu28yuE8vAG5HRKK9zzfNu/Yf4u0P8qadfO3/9G+wJz0zxmiciejYWL764Rd+/fp/hmUN6tRm/KhhvDD1HdzdXJn33rT7OvbDCAyPZtwPedPDzduunwJsYMPqfDiw6G43uW7FJhGXUvLpvoJux3A2TN8Codf/jH8I/Dl5GJVcnQyfD1wJJSQ2kXmD8vpbPtmiDufDoxm5ZAP1K3nyUqfGJT72/dK21DdrtXx2utHy7NVfo07puxjptvyCVim0oyaDpSXq8jl9F4x8NF4VwTbnbZ3SgWcFLJ6cDPZO+pk5wq6RvWQOROY0O0y5S/YPH6PtPgyLZ94GrSVEhqL7ZT7cMX5DpaleH417OXS/f2VYpo78iapUFYsXZqHCrqLbvfYRpoqxwNuxjPt1p+HzvF0nARhYrwr/17M5l6LiWHf+GolpmXg72tG2Snle6dDA8KMA4FbcXeJS8saXiU1J462NfxGVnIqTjRU1vVz5dkRn2uRUaNhYaDlxK5Kfjl0kIS0DTwdbmlb2YvnTPfBwMC7QHbgWTkjcXeb1yxsz4cmmNTl/J5aRP26jfgUPXmpbsj7kDyIwLJJxS9cbPs/bfAiAgY0DmDGgA9ej4pl8cjtxKam42ttSr5I3Pz030Gh2hFuxiUZ5LCIhmam//Ul8zrSNTfwq8OuLg3F/gDfCBy6HEBKTwLx8ffCfbFWP82FRjPxqNfV9vHmpS7MHOfWSqeCHxZN5LeS0XfXjZOjO/YXa9AO6dUvQdByItt8z+u5TibGofev0U6Dl0Di7o/K/JbJ1QPvEU/ofTGkpcCcE3c+fQEzeYF8lCRcAeyd9v9yf8k0rfPsG6tifaIe9rJ+DfpPxNK2PWmBYFOO+22D4PG+LfirigY1rMqN/e65HxzN5+XbiUtJyriEvfnq2f8FrKDnvGnq3b1u+2HGM99cfIDY5FW8nB4Y3r83Ezk3vO36XI2LZev4qa17Om7KzZ92qHLseztPfrqeKpwsfDy96jIeHEXgrgnGLVxk+z1u/F4CBzerwcs/W7A7UVxQP/u9PRvstmziMFjnTHN6KSSAuOa9gHpFwl6k/byY+Z1rCJlUq8euro3DP13/+rQGd0Go0TF62gczsbNoG+PPe4ILneeDCDUJi4pn35BOGZU+2a8T50AhGLviV+r7lealH60eQEoUo74vFyP8YPmq76L8n3fnDqC0/odv4PZr2/dH2GZeXFw5sQJ3O60arcXIzymOaRu3RWFphMeA5o0PpDm5CHdoMSofGqyKaui31z767Cagbwfq+7/f2j/esgKZWE6NB/dTFU/qZPkZNgdgIdBuXPbLkMCUwNJJx3/5h+Dxv0wEABjapxYxBnbgeFcfkny8Ql5xzn/Ypx08vDKZGubzBLe+9hlYc1rfUGvuN8fP3g6FdGZTTsu23w+dZtPOYYd2Yr9cU2Abg8p0Ytp69wprJeTPd9axXnWPXwnj6qzVU8XLl45GlN6ZLYGgk4/Kdx7yNOenTtBYzBnXmemQck09szkkfO+pV9uanF4cYDf55KzbB6B5UVJgfDu+OhUZTonAhN30us+Y/owzLetbPSZ/Fq/XpM6rno02U/ErjOZYUh+63L9B2HYZmwnv6iovju1CHt91//MrAc+zvRNqPlB6NUuZrRxkZGcmQIUM4ePAgvr6+lCtXDoCIiAhCQkJo27Ytq1evxtv7/t56z5o1ixmTni2NKP8jzFqoHzBqeo2ST1X1bzLnsv7B+G7mfXa5+Jf4wEr/5n26bzEb/ovNyakbml734QbI/aeaE6h/EzbdRkb9NmVOur6CbXodp2K2/PeaE6Qfj2Z607Ix1WZZM+eE/mXPdPtIM8ekbJqToi9XTm9QcPpboTfnrL7V8PSGZW9K7bJgzpkYQJ5jhZmTXoEZM2aYOxqlZpaNW/EbPQIz0uMey3HKErNW/Lz00ktkZ2cTHBzMjRs3OHLkCEeOHOHGjRsEBwej0+l4+eWXzRlFIYQQQgghhBACAK1G81j+/o3M2q1j27Zt7Nu3j4CAggNnBQQE8MUXX9CpU6fHHzEhhBBCCCGEEEI8NmatnLCxsSExMbHQ9UlJSQUGuxRCCCGEEEIIIcxBxpwoPWZN2xEjRjB27FjWrl1rVEmRmJjI2rVrGT9+PKNGjSoiBCGEEEIIIYQQQvzdmbXlxPz589HpdIwcOZKsrCysra0ByMjIwNLSkgkTJvDpp5+aM4pCCCGEEEIIIQQA2n/ncBCPhdm7dSxevJh58+Zx4sQJo6lEmzZtirOzszmjJ4QQQgghhBBCiMfArJUTuZydnencubO5oyGEEEIIIYQQQggzMPt4HqmpqRw4cICgoKAC69LS0vjxxx/NECshhBBCCCGEEMKY9jH9/RuZ9bwvXbpE7dq16dChA/Xr16djx46Eh4cb1ickJDB+/HgzxlAIIYQQQgghhBClzayVE9OmTaNevXpERkZy8eJFnJycaNeuHSEhIeaMlhBCCCGEEEIIUYAWzWP5+zcya+XEoUOHmDt3Lp6enlSvXp0NGzbQs2dP2rdvz7Vr18wZNSGEEEIIIYQQQjwmZq2cSE1NxdIyb0xOjUbD4sWL6devHx07duTSpUtmjJ0QQgghhBBCCJFHq3k8f/9GZp2to1atWhw/fpzatWsbLV+4cCEA/fv3N0e0hBBCCCGEEEII8RiZteXEoEGD+PXXX02uW7hwIaNGjUIp9ZhjJYQQQgghhBBCFCSzdZQes57322+/zebNmwtdv2jRInQ63WOMkRBCCCGEEEIIIR43s3brEEIIIYQQQggh/i7+reNBPA7/1hYjQgghhBBCCCGEKCOk5YQQQgghhBBCCFECWqTpRGmRlhNCCCGEEEIIIYQwK436B06HMWvWLHNHQQghhBBCCCH+lWbMmGHuKJSaLx09H8txXr4b/ViOU5ZIywkhhBBCCCGEEEKY1T92zInpDT3MHYUya86ZGEDSqDCG9HGONXNMyqY5ie4ATG9a3swxKbvmnLgDwPQWlcwck7JpztEwAKa7xps3ImXUnHhXQPJYUQx5rJWvmWNSNs05HALAdM+7Zo5J2TQn2hGA6U28zRyTsmvOyUgApjerYOaYlE1zjt8GpKxYmNyy4j+VvN0vPZK2QgghhBBCCCGEMKt/bMsJIYQQQgghhBDiUdLKZB2lRlpOCCGEEEIIIYQQwqyk5YQQQgghhBBCCFECWqTpRGmRlhNCCCGEEEIIIYQwK6mcEEIIIYQQQgghhFlJtw4hhBBCCCGEEKIEZEDM0lPmKicuX75MSEgIfn5+VK9e3dzREUIIIYQQQgghRCkza7eOuXPnsnPnTgDi4uLo1q0bAQEBdO/enYCAAJ544gni4+PNGUUhhBBCCCGEEAIAzWP6+zcya+XEokWLcHd3B+DNN98kNjaWEydOkJKSwsmTJ4mPj2fq1KnmjKIQQgghhBBCCFHmffnll/j7+2Nra0vLli05evRoifZbsWIFGo2GgQMHlm4Ei2HWyomoqChD5cSOHTv4/PPPady4Mba2tjRs2JCFCxeyefNmc0ZRCCGEEEIIIYQA9GNOPI6/+/Xbb78xZcoUZsyYwcmTJ2nYsCE9e/YkMjKyyP1u3LjB1KlTad++/QOmyKNj1soJPz8/zp8/D4BGo8HS0ngIDAsLC5KTk80RNSGEEEIIIYQQ4m9h/vz5PPfcc4wfP546derw1VdfYW9vz3fffVfoPtnZ2YwePZpZs2ZRtWrVxxhb08xaOfHcc8/xxhtvcOXKFSZNmsTUqVO5evUqANevX+e1116jR48e5oyiEEIIIYQQQggBgBbNY/m7HxkZGZw4cYJu3brlxVOrpVu3bvz111+F7vf+++/j7e3NhAkTHjg9HiWzztYxdepUQkJCqFOnDtWqVePGjRvUrFkTS0tLsrKyaNKkCb/++qs5oyiEEEIIIYQQQjxW6enppKenGy2zsbHBxsamwLbR0dFkZ2dTrlw5o+XlypXjwoULJsM/cOAAS5cu5fTp048szg/L7FOJfvHFF0ycOJGNGzdy7do1dDodFSpUoG3btnTr1g2N5t86VqkQQgghhBBCiLLkQcaDeBBz585l1qxZRstmzJjBzJkzHzrspKQknn76ab799ls8PT0fOrxHxeyVEwC1a9emdu3a5o6GEEIIIYQQQghhdm+//TZTpkwxWmaq1QSAp6cnFhYWREREGC2PiIigfPnyBba/evUqN27coF+/foZlOp0OAEtLSy5evEi1atUe9hTuW5monChMZmYmt2/fxtfXt1SPc/xaGN/tO0lgaBRRScl8MaY33ermfRkL/zzCljOXuBN/FytLC+pU8mJyz9Y09C34Ree3/NBZvtt3kuikFAIqePLugA40qKzfJz4ljYV/HuHQpRBuxyfh5mBH17pVebVHK5zsbAzbvLPyT45cDcPP04U5Q7tRp5KXIfzZf+zBx92Z8R2alEKq5CkqfTKzs/li22H2XbxJaEwCjrY2tK7hw5Qn2uDt7FhomMnpGXyx7TA7Aq8RezeF2hW9eLt/B+pXLme0zWdbDrEz8BrxKWlUcnfmqbYNGdmqvmGbeRv2s/ZEMPbWVrz2RBv6NQ4wrNt69jLrT15g0bh+lKbj4bF8d+Y6gVGJRKWk80XPxnSrkncedb7aanK/11sFMKFRlULDjbibxn+PXGR/SDRpWdn4utjzQaf61PN2AeCdXWf541K40T7tKnvyTZ9mAGRk63hvz3l23YjA096G99rXoY1PXs3o0tPXuX03lent6jzwuZfU8auhfLfnOIGhEUQlJvPFuP50q18dyLmGthxkX/B1QmNzryFfpvRpj7dL4dcQQERCEv/duJ/9F26QlpGJr6crH4zsSb2cfKaUYuG2Q6w6fJ6k1DQaV6nE/w3pir+XGwAZWVm8t/JPdp2/iqeTPe8N6Uqbmn6G8JfuPsbtuCSmD+5SSimjd/zqLb7bdYzAW3f06fPMQLo1qAHkpM+mA+wLvpaTx6xpXdOPKf06Fpk+3/x5mB1nL3MtMgZbKysa+Vfk9X4dqVLO3Wi709fDWLD5AGdv3kar0VCrkjffvjgUW2srffqs2Mauc1fwdHbgvaHdaBPgb9h36a6j3I5LZPqQbpSm4+GxfHfqGoFRCfo81qsJ3arm3X/rLDI9q9PrrWsxoXHxgzt9e/Iqnx2+yNMN/Hk7X35Iz8rm40PBbL58m4xsHe18PXmvQz087XPu0WkZvLPzLEfCYvBzdWBO5/rU8XIx7D9733l8nO0Z36j0B5gqjTy2cNshFm0/bLSsipcbm94ab/gclZjMpxv3cejSTVLSM/D3cueFbi3o0aAmUIby2JUQvtt5hMBbEUQl3uWLZwfTLSeOAH+euchvB04ReOsOCSlprH5zPLV9yhURIoz94heOXblVYHmHOtX46sVhhs9X70Qzf/0ejl25RbZOR7XyHnz+zCAquuuvlXlrdrL26Dn9c6xfJ/o1r2vYd+upC6w/eo5FLwwrcJxH6XhYDN+duEJgVDxRyel80ac53apVMNrmamwS8w8GcSwshmydopq7E5/3aUZFJ3uTYY5dfZBjYTEFlnfw9+ar/q0A+PNKOL+du0lgVDwJaZmsHtWR2vnyEMC8fedZG3wLeysLXmtTh361fAzrtl4OZ33wLRb1b/mwSVAsfR47QWBYZE4e60u3evnz2CH2Xbihv0/b5eSx3m2LzGPdPlhKeFxSgeWj2jTgvZw8MeP3HRy+fIvIhLvY21jTyL8Cr/dpR1Vv/b08PiWNd37dxpGrofh5ujJnRHfqVPI2hDV7zS583F0Y36npo0yOAo5fDeW73cfy7kHj+9Otfr7n2Obce1C8/h5U069Ez/lc3+48wmebDvB0+ya8PaizYXl6ZhYfr9/D5lMXycjKpl2AP+8N7YqnkwMA8cmpvPPrVo5cuYWflytzRvSkTr68PXv1Dnw8XBnfqdkjTI2CSqOs2O3nPYTfTSuwfFRdX95rr3+WrQy6xabL4QRFJ5Kcmc3h8V1xtrEybFuWyop/J49r0MbCunCYYm1tTdOmTdm5c6dhOlCdTsfOnTuZNGlSge1r1arFuXPnjJZNnz6dpKQkFixYQOXKlR86/g+iTFdOBAUF0aRJE7Kzs0v1OCkZmQRU8GRwszq8+lPBQq6/pyvvDuhIZXcX0jKz+PHAaZ5bso6tb47B3dHOZJhbzlxi3sb9zBjUmQa+5fnpwGmeX7qeTVOfwsPRnqjEZKISk3mjTzuqlXMnPC6RWWv3EJWYzOdP9wbg613HSE7PZPWrI1hx+DwzVu9i1asjADhz8w5nQyJ4p3+H0kuYHEWlT1pGFkFhUbzYpTm1KnqSmJLOhxv28fKyTYa4mvLe7zu5fCeWeSO64+XswIZTF5nw7R9seH005XIeVB9vPMDhq6HMG9mDSm7OHLwcwuw/9uDt7ECXOlXZHXSdjacvseTZAdyMTmD6qh20q+mLm4MdSanpLNh2mKXPDizNpAEgJSubAA8nBtfy4dVtpwqs3zums9Hn/SFRvLfnPD2qFl7wTUjPZPQfh2lRyYOvezfF3c6amwkpRg8U0FdGfNA5r7LG2iLvdrky6BaB0QksH9SK/SHRvLnjLPvHdkaj0RCamMLvwbdYNaTNg572fUnJyCSgoheDW9Tl1WUbjNalZWQRFBrJi91bUauiF4mpaXz4xx5e/m4dq14bXWiYCSlpjP7fb7SoXpmvnxuEu4M9N6PjcLazNWyzdPcxft5/mg9H9cTH3YUvth7i+W/WsOHNsdhYWbLyr3MEhkaw/NWR7A++wZu/bGb/zBf1aRSTwO+HzxUZh0clJT0nfVrW49Xv1hmt06dPBC/2aE2tit769Fmzi5eXrGHV62MKDfP41VuMateYer7lydbp+HzTfp79ahUb3hqPvY01oK+YeP7r33muWyveGdwVS62WC+GRaHPaK648dJbAWxEs/89o9gdf482fNrF/9ks56RPP73+dZdXrT5dewuRIycwiwNOJwbV9eHXryQLr947ravR5/81I3tt9jh5Vi65ABjgXEc/KwBACPJwKrPvoYDB7b0byWc/GOFlbMWd/IJO3nuSXwa0B+PrEVZIzs1g9vC0rzocwY885Vg1rB8CZO3GcjYjnnXZ1C4RbGkojjwFUL+/B0heGGj5bao2LZG//upWk1DS+fGYAbg52bDp5gSk/bmLlf1yp4+NddvJYRiYBlcoxuFUDXl26tsD61PRMmlT1oVfj2vzfii0lCnPBhMFk5iufxCenMnjed/TMV0keEhXHU5//zJDWDXn5iXY42tpw5U40Nlb64tfuc5fZeCKIJS+N4GZUHNOXb6Zd7Sq4OdqTlJrGgo17WfryyIc8++KlZGYR4OXM4Lq+vLrpWIH1IfHJPPX7AYbU8eXllrVwtLbkSmwSNhYWhYa5oE9zMrN1hs/xaRkMXr6XntUrGpalZmbTpKI7vWpU5P92nSkQxu5rd9h4KYwlA1tzM/4u03ecpp2fF252NiSlZ7Lgr2CWDmr9kGdfMkZ57IeNRusMZaFuLfVlodR0fR77fj2r/vNkoWGunDyKbJ0yfL58J4Znv1lDz5zKaYC6PuXo17gWFdycSEhJ58vth3n2m7X8+c54LLRavt5xlOT0DFa/9iQrDp1lxqodhmOeuXmbsyF3eGdgp0ebGCbkpU89Xl223midPn0ieLFHzj0oJY0P/9jNy0v/YNWUp4oN+1zIHVb+dZaACl4F1n20bg97g67x2dh+ONnaMGfNTiZ/v55fXh0FwNc7jujTZ8pTrDh0hhkr/zQc88yNcM7evMM7g0q3chRKp6y4ckgbslW+6yc2iWc3Hqdnvn3SsrJp5+tFO18vPjtyqWAYZaisKB7elClTGDt2LM2aNaNFixZ8/vnnJCcnM368/qXCmDFjqFSpEnPnzsXW1pZ69eoZ7e/q6gpQYPnjVKYrJx6XDrX86VDLv9D1ffMVNACm9W3P6mNBXLwTTevqpmuVlu0/zbAWdRncXF/TOGNQZ/ZeuMGaY0E817kZNcp7sCCnEgLA18OFyT1bMW3FdrKydVhaaLkWGccTDWvg7+XGsBZ1WXVEP+1qZnY2M9fuZvbQLlhoS7/urqj0cbKzYelzA42WTR/QkRELVxIel0RFt4IF/rTMLP48f5WFY/rQrGolACZ1b8me4OusOHyOyT31BY1TN28zsEktWlTTvyUZ3rIeK4+c59ytCLrUqcq1yFhaVK1EPZ9y1PMpx0cb9hEam4ibgx2fbj7IyFb1TB7/Uevg60UH34IPzFxe9sY1nrtuRNKikjuVnU2/bQJYeuoa5R3t+DBfxYOPie2tLbQFws91Le4uXfy8qeHuRGVnez49fJG4tEzc7ax5f38Qr7cKwNH68dwCOtSuQofapmv+nexsWPriUKNl0wd1YcSC5YTHJVLRzdnkfkt3HaO8qxMfjuxpWObjkffGTSnFj/tO8UK3lnTNebv10ahetJ/5FTvPX6F341pci4ylS51q1CjvSWUPFz7duI+45FTcHe15f/UOXu/bHkfbktVYP4wOdarSoY7pt+tOdjYsfWm40bLpQ7syYv7PRabPNy8av2n98MknaDf9S4JCI2hWTX/f+uiP3TzVoSnPdct765i/ZcW1iBi61KtGjQo56bN+b176rPqT1/t1eDzp4+dNBz/vQtebzmMeVHYpPI8BJGdm8eaO08zqVJ+vT1wxWpeUnsnq4Ft80r0RrXLeIn3QpQF9f93HmTtxNCzvxrW4uzxRvQL+ro4Mq+PLqiD9W/TMbB0z955nduf6WDymjqmlkccALLRavJwdCl1/6kY4M4Z0pYGv/i37i91b8cO+kwSFRlDHx7sM5bFqdKhTePPU/i30BbGwmPgSh+nqYPxyYsuJYGytrOjZqJZh2YJN++hQpxpTB+T98PDNabkF+jzWooYv9XwrUM+3Ah+t2UFoTAJujvZ8um4PI9s1NrSwKE0d/MvRwb/wH0EL/gqmg185puarbPN1Lfy6AHC1tTb6vOVSGLaWFvSskVc50b+2/l4UlphiMoxrcUm0qORBvXKu1Cvnykf7zhOamIKbnQ2fHgxiZH3/QltuPGrF5rEXBhstmz6oMyO+WFFkHnN3NI77kt3HqOzhQvNqea1DhudrLVrJHV7t1ZpB838hLDYRX09XrkXG8kSjAH1ZsVV9Vh3WvwnNzM5m5uqdzB7W/fGUFYu9Bxk/k6YP7sqIz38p9h6UnJ7Bm79sZtbwHnz9p3FLrqTUdFYfOccnT/WhVQ19K+sPRvak77xlnLkRTkP/ilyLiOWJxrXw93ZnWOsGrDp8FshJn993MHtEj8eTPqVQVnS3M85jS05do7KzPc0r5j3HxzTwB+CoiVZMULbKin8nZXVExBEjRhAVFcX//d//cefOHRo1asTWrVsNg2SGhISgfQzX+8Mwa+yaNGlS5N/IkaX/tuB+ZWRls/LIeZxsralVwfTgIRlZ2QSFRdKqRl7FhVaroXX1ypwOuVNo2HfTMnC0tcYy5+13QAVPjlwJJStbx8FLIdTMOd7SvScNP8rLoqS0dDQacLYzXeDM1unI1imsrYxvdrZWlpy8cdvwubFfBXYHXyci4S5KKY5cDeVGVDxtcx5AARU8OR8WSUJKGoGhkaRlZuHr4cKJ6+EEh0fxVNuGpXeSDyg6JZ19IVEMydcs1ZRdNyOp5+XMf7afot2yXQxeddDwwye/Y+GxtFu2i96/7mPWvkDi0zIM6wI8nTh5J460rGwO3IrGy94GN1srNlwKx9pCa9ScsKwp7hoC2BV0lXqVy/GfHzbQbsZiBv/3J0OhAyA0NoHopGRa18zrFuZkZ0MD3/Kcvqm/zgIqenHyehhpmZkcuHATL2cH3Bzs2HAiGGtLS0OT1LImKbX49DG1D4CLvb5lSUxSMmdv3sbd0Z4nP/+F9tO/ZMz/fuXEtVDDPgEVvTh5LYy0jEwOXLiRlz7Hg/Tpk69ZfFkRnZLOvpuRDKlddB4DmLMvkI5+3rSpXPBeHhiVQJZO0Tpf89aqbo5UcLTldEQ8AAEeThwJiyFLp+PgrShq5rS+WHrqmv4HlbfrIzmn0lCSPAYQEh1Hx1lf0+ODpbzx82bC4xKN1jf2r8iW0xeJT0lFp1NsPnWBjKwsmlfXp//fNY89iNWHz9K7aW1DyySdTrE38Cr+3u48t+g32r3zBSP++wM7zua9vQyo5M35kNv651jIHdIysvD1cuPE1VsEh97hqY6l29S8JHRKsfdGBP5uDjz3x1+0+3YrI37bx46rt4vfOZ/VQSH0rlkJe6uS/9AJ8HThfGQ8CWkZBEbGk5alw9fFgRPhMQRHJvBUw9LvMvWgktIy7us+nZGVzYYTFxjcom6hg8GnpGey9lgQPu7OlHfV328CKnpy5MotfVnx4g1qVswpK+4+QYtqPtSrXDaf9SW9B81ZvZOOtasYdQfLFRgaQVa2zug5X7WcBxXcnIye80cuh+jT58INaua0vli66xgtqlU2dAMtS0paVswvI1vHhsvhDK5V6b4mE/g7lxWFaZMmTeLmzZukp6dz5MgRWrbMewG1Z88eli1bVui+y5Yt448//ij9SBbBrFVhQUFBjBw5kipVTNe03r59m0uXCjZBMoc9wdd5ffk20jIz8XJyYMmzA3FzMN2lIz4llWydwvOeGnEPJ3uuRcWZ3CcuOZXFO48xrEVeM5rnOjXl/T/20PPjH6nk5sTsoV25ER3PuhMX+PWlocxcs5tDl0OoW8mb94d0MYxVYU7pmVnM33KI3g1r4njPW5NcDjbWNPItz1c7j1HN2w0PR3s2nb7E6Zt38M335vvdAR2ZsXoXnT/8HkutFo0G3h/SxdDaol2AH/0aBzB84UpsrSyZO7w7dtZWvP/HHj4c1o0Vh8/xy8GzuDnYMXNwZ2qU93gsaVCUdRfDsLeypHsxN/vQxFRWBN1ibAN/nm9SjfORCXx4MBgrCy0DA3LO39eLblXL4+NkR0hiCp8fvcQLm06wfFArLLQaBgf4cCnmLv1+O4CbrRXzuzciIT2Thccvs6x/CxYcvcTmK3fwdbZjTqf6lHO0LTJOj0t6ZhbzN+2nd6NaRb5RDY1JYMWhM4zt2JTnu7bk/K07fLh2N1YWFgxsXpfonDdxnk735kMHohOTARjcoi6XwqPo9/EPuDnYMf/pviSkprFw2yGWTRzOgi0H2XzqAr4erswZ2YNyLqXfEqc46ZlZzN+wj95Napf4jbNOp/ho7S6aVKlEjZyCWWhMAgBfbj3IGwM6UauSN+uPBfLMlytZ99Z4/L3cGNyqPpduR9Hvo+/16TOuPwkpaSzccoBlk0ayYNP+vPQZ1YtyruZPn3UXQ/V5rJguHZsvhxMUlcDKoW1Nro9OScdKqy3QlcrT3oboFH1Fz3NNqvH+vvP0/HkPlZztmd25Pjfik1l3MZRfh7Rh5p5zHAqNpq6XC+93qo/TPWGZS0nzWAPfCnwwshdVvNyISkxm0fa/ePrL31g/dSwOOff3+WP68PqPm2jz3mIstVpsrS35Ylx//Dz1rQP+jnnsQZy9Gc7l21HMfvIJw7KYu8mkpGewZMdhXu3Tnin9O3Eg+BqTl65h2aQnaV7Dl3a1q9KvWV2Gf7oMWysr5j7VR/8cW7mdD0f3YcWBU/yy74T+OTaylyH/Pk4xKemkZGaz5PgVXm1diylt63DgZiSTNx1j2eA2NPcx/aImv7N34rgck8Tsro3u69jt/LzpF+DD8N/2YWtpwdwejbGzsuT93Wf5sHtjVpy7wS9nruFmZ83MLg2p4VH4G/jHSZ/HDtC7UUCJ79M7z18lKS2dQc0K9u3/9eAZPt10gNSMTKp4ubHk+cFYW+q71DzXuTnvr9lFz7nfU8ndmdnDunMjKo51x4P49ZURzPx9J4cu3aSuTzneH9at7JQVN+6jd+Oi70GbT10gKDSSlYV0/YpOTMbKwsKoOyeAp2Pec/65ri14//cd9PxwCZXcXJg9omde+rw6ipmr/uTQxZvUrVyO94f3KBPpU9KyYn47r0eQlJ7FoJwyYkn9XcuK5qaV2SRLjVkrJ+rVq0fLli2ZOHGiyfWnT5/m22+/LTIMU/O/ZmVlPbI45mpRzYc1k0cSn5zGqqOBTPllKysmDcPD8eGbE95Ny+DF7zdQzduNl7u3MCx3srPhk1E9jbYd/81apvZuy4bTlwiNTWDT1KeYsXoXi3YeZVrf9g8dl4eRmZ3NlF+2opS+G0tRPhrZg+mrdtDpg++x0GqoU9GL3o1qEhQaadjm54NnOBNyhy/H9qWimxPHr4cx+4+9eDk70Can9cSk7i2Z1D2vRvDLP4/QunplLC20fLXzOOtee5I9wdd5e+Wf/P6q+VvirLkYRt8aFbCxLLyfLujfVNXzcuG1lvo303U8nbkcm8RvQSGGyone1fMGK6vp4USAhxM9l+/jaHgsrX08sLLQGgZEyvXO7nM8Vc+P4Ogkdl6PZO2wNiw9fZ0PDwazoGfjR3y29y8zO5spP27UX0NDuxa5rU4p6vmU47Xe+j7+dXy8uXwnmt/+OsvA5iXr529lYcF7Q4yP886KbTzVrjHBYZHsPH+Fta+PYenuY3y4djcLxvV/sBN7RDKzs5mybD0KxYxh3Uu83+zf/+Ty7Wh+npzX91mX0091eJuGDG6pbzZcx6cchy/dZM3hc0zp10GfPkONj/PO8i081aGpPn3OXWHtG2NZuusoH67ZyYJnBj78ST6kNcGh9K1Zscg8djsplbkHgljSr0WxebEoTjZWfNLdON+MX3eEqW1qs+FSOKGJqWwa1ZEZe86x6PgVprU1/6xU95PH8jfRDqjoRQO/8nSbs4StZy4yJOea+WLLIRLT0ln6wlDcHO3Yee4KU37cxE+ThlOzgtffLo89qNV/naVmRS8a+OV1WVA5eaxL/RqM7ax/ttf2Kcfp62H8dvAUzXOfY73bM6l33vP7yy0HaB3gp3+ObTvEurcmsCfwCm//tJHf3xzP45bbpb1L1fKMbazvGlPby4XTt2P57fzNElVOrA4KoaaHEw3KuxW77b0mtarFpFZ5XWW+PHKR1pW9sNRq+OrYJdY92Yk9NyJ4e/spfh/V8b7Df9Qys7OZ8tNm/X16SMnHMlhz9DztA/xNDhDZt0ktWtf0JToxme/3nmTKT5v5ZdJwbKws9WXF0U8YbT9+8e9M7dueDScv6MuK08YyY9UOFv15hGmPYayyoujvQRty7kGFD6Z8Oy6RuWt3s+TFoYYxWh6Ek50Nnzzdx2jZ+EUrmdqvAxtOBBMak8Cmt8czY+WfLNr+F9MGdHrgYz0qJS0rGu1zIZT2vp54O9xf5cHfsawo/tnM2q2jbdu2XLx4sdD1Tk5OdOhQ9E107ty5uLi4GP3t37//UUcVe2sr/DxdaehXnjnDumKh1bD6WJDJbV3t7bDQaoi+a9yHMiYppcBb3OT0DJ5fug4HGyv+N6YPVkUMLrXmWBBOttZ0rVuVY1dD6Vq3KlYWFvSsX51j18Ie/iQfQm7FRHh8IkufHVBoq4lcvh4u/PjiEI7PfpFdb4/nt1dGkJWdjU/OW4+0zCw+3/YX0/q2o3OdKgRU8GR0m4Y80bAGy/YVHEgI4FpkLBtOXeSVHi05ei2MZlUq4u5oR6+GNQgKiyI5PcPkfo/L8duxXI9PZmgJmul52dtQzc24gFLNzZHbSQVHZc5V2dkeN1srQnLeFtzrSFgMV2Pv8mQ9P46Fx9DB1wt7K0t6VSvP0fDY+zuZUpD7oyk8LpGlLwwp9m2Tl7MD1coZt4apVs6D2znNzj1z+mlGJ92bD5PxLKQP/ZErIVy9E82T7Rpx7OotOtSqgr2NFb0a1eTo1VCT+zwuuRUT4XGJLJ04vMRv4+b8voO9QddYNmmEoRkwYBhHoNo9LYqqlvPgdrxx0/1cRy7npE/7xhy7HEKHOlWwt7GmV6NaHDUxa8Hjdjw8J4/VLnqE6cCoBGJSMxi66iD1F2+h/uItHAuP5eezN6i/eIu+5Zu9DZk6HYnpmUb7RqekG2bruNea4Fs4WVvStUo5joXF0LVqOawstPSsVoFj4ab7+z5O95vH7uVsZ4u/lxs3o+MBCImOZ/nB08wZ0YPWNX2pVdGLl3u2pm7lciw/WHBwQyjbeexBpaRnsOVkMENaNTBa7upgj6VWazqPxZnOY9ciYthwPJBX+nTg6JUQmlWrjLuTPb0a1yIoNILktHST+5UmVztrLLUaqrkbt2qp6u7E7STTY0Xkl5KZxZZLYQypW7BZ/v26FpvEhguhvNKqFkdDY2hW0QN3ext61ahIUFQCyRmP/uXU/citmAiPS2Tp84NLnMfCYhP56/IthrQ0PQidk50N/l5uNKvmw2dj+nA9MpYd56+Y3HbN0UCc7GzoWq9aTlmxmr6s2KAmx8rCc+yHjYTHJrH0xaFFpk9gaAQxd1MYOv8n6k+dT/2p8zl2NZSfD5yk/tT5ZOt0eDo7kJmdTWKqcdko+m7hz/k1R8/npE91jl29Rdf61fXp07Amx66WgefYfZQVc4UlpfJXWMx9dQMpTFkvK5YVmsf0929k1pYTCxYsKHJ9tWrV2L17d5HbmJr/9ZNPPnnouBVHKUVGlulZRKwtLahTyZvDV0INU27qdIrDV27xZJu8wsvdtAyeW7oOa0sLvhzbt8ia4di7+m4fP08cAkC2UmTljIKdmTOGg7nkVkzcjI5n2fODCwwSVhR7ayvsra1ISEnj4KUQXu+tb2Kdla0jK1tXoN+cVqMxvPHNTynFzDW7mda3PQ421uh0OrJy5urNTSdzphHo3+jW9XKmlmfxzU6blHfjerxxJcON+GQqOhWetnfuphGflomXfcFa8/SsbGYfCOLjrg2x0GrI1oHS5KSPTplM08cp90fTzeh4lk0cVqJrqIl/Ra7f003qRlScYWAtH3cXPJ0cOHw5hNo506rdTUvnbMgdRrYpOB5JemYWs9fs4uMne2Oh1ZKtFCrfNaQzdx5btp6bUfEsmzSiROmjlOKD1TvZce4yyyaNxMfD1Wh9JXcXvF0cuRFZMA3bmxjULD0zi9m/7+Djp/vkpU92bvpkmzV9cq0JvlWiPNbax5N1I4xbmr276yxV3Bx4tnE1LLQa6nq5YKnVcDg0mh45Uypej7vL7btpNCrnWiDM2NR0Fh+/ws85MweUpXs0PFgeu1dyegYh0fH0a6pvAZKWqa+4ubd5q4VGY2g1kF9ZzmMPY9tp/Tgb/Zob/7C0trSgnm8FrkcYF+hvRMWaHORSKcXMFVuZNrBLvueYvpxhzueYtYWWet6uXI+7a7T8RtzdEg1Gue1yOBnZOvoFPNwPJ6UUM3edZVr7ujhYW6JTKu85n5Mu2WZ8luVWTNyMimfZxCH3lcfWHgvE3dGOjoUMKGlMocBkGTT2bgqL/zzCz5P0gyhn50ujTF022UpXYJ/HJbdi4mZ0HMteGl5s+rSu4ce6N8YaLXt3xVaqeLvzbJcWWGi11PUph6WFlsOXQujRUN/S9HpkLLfjkmjkV6FAmLF3U1i8/S9+nqRvSZuty3efzs42+30a7q+smGvthVDc7Wzo6Pdw3b7KellR/DuU7eE6S8DGxgZnZ2ejP0vL+6tzSU7PIDg8iuDwKEBfgx0cHkV4XBIpGZl8tvUQZ27eISwukcDQSN5dtYOIxGR65swhD/ruFr8cyntTNK59I34/GsgfJ4K5GhHLrLW7Sc3MMvQlvJuWwbNL/iA1I5PZQ7tyNz2DqKRkopKSydYVfHjM3bCPcR0aGabZbOJXgfUnL3I1IpZVRwJp4l/wJvyoFJU+mdnZ/OfnLQSGRvLxyB5kK53hPPI/OO9NnwMXb7L/4k1CYxM4dCmEcd+spYqXG4Oa6Qu9jrbWNK9aiU83H+To1VBCYxNYezyY9ScvGCp88vv9aCDuDnZ0rqN/sDf2r8CRK6GcuXmHH/afopq3+30NHnhf6ZOZRXB0IsHR+jdhYYmpBEcnEp6UatjmbkYW265FFFqrPX7DUX45f9PweUwDf85GxvP1yavcTEhm4+VwVgWHMqqur+GYn/x1gTMR8YQlpvBXaAyTtp7E18WediYG91t84iodfL2ok/Owa1zelT+vR3AxJonl50No/ABNbe9HcnoGwWGRBIfpu+2ExSYQHBZJeFyi/hr6YSOBtyL4eHRvsnXKMNWu0TW0eBW/HMhrNTOmQ1PO3rzN1zuOcDM6jo0ng1l1+Cyj2jYCQKPRMKZDY77ecYRd569y6XYUby3firezo2H2jvwW/3mYDrWqUMdHX5HR2L8if567zMXwKJYfOE3jKhUL7PNI0yc0guDQiLz0CY3IS5/v1+vT5+k+ZOt0RCXeJSrxrnH6fPkbv+zPm2Zz9u872HA8iE+e7ouDjZVhn7SMTEP6PNO5OT/vO8G20xe5GRXHF5sPcD0yliH5Roc3pM/2v+hQp4phfvjGVSrx59nLXAyPZPmBUzSuen/9XO8rfe7NY0mm8lgm267eYUghrSbGrzvCL+duAOBgbUkNDyejPzsrC1xtramRM6ilk40VQ2pXZt7BYI6ExRAYmcC7u87SqJwrDU3kl7kHghnXqIqhP26TCm6svxTG1di7rAq6RZMKf7889vH6vRy7eouw2AROXQ/n1e/XY6HV0qexvol9FW93fD1dmfn7Ds6G3CYkOp7v9xzn0OWbdKlX8D5dpvJYTLw+j8Xqx16JT04lODSCK3f0LVxuRMYSHBpBVGLeD/K3ftrA/PV7CoS9+q+zdG1Q0+SPrWe6tmDLqWBWHTrNzag4ftl3gj3nrzCyXcGm0b//dQZ3R3s65wwS2riqD0cuhXDmehg/7DlGtfKeOJuofH4UkjOyCI5KIDhKnx5hiSkERyUQntMy4pmm1dlyOYxV529yM/4uv5y5zp7rEYzMmQkA4K3tJ5l/sGCL0tVBIXStWh5Xu4ItKuPTMgiOSuBKbBKgr/AIjkogKrlgK8HfA0Nwt7Omc854Mo0ruHMkNJozt2P54dRVqrk7FRgj5lEqmMcSjfPYj5ty8livwvPYV6v55cBpo3B1OsXaY0EMbFbHMCB6rlsxCXyz8yiBOc+DUzfCee3HzdhYWdKhVsGKjLnr9jKuY5O8sqJ/RdbnlENXHT5PE/9SzmNFpc+yDQSG3in+HrRffw9ysLWmRgVPoz87aytc7e2okTNAvJOdDUNa1mfe+j0cuRxC4K0I3l2xlUb+FWho4lzn/rGbcR2bGcZHalKlIuuPB3E1IoZVf52jSWneg0qhrAj6LpprL4YxsGbFAlM9A0SlpBMcnUhIzjhcl2KTCI5ONBpAPZe5y4pCQBmZSvTo0aP89ddf3Lmjn8mifPnytG7dmhYtWhSz56MRGBrJuG/y5j2ft/EAAAOb1mLGoM5cj4xj8onNxCWn4mpvR73K3vz04hCjARZvxSYQl+9h+kTDmsQmp/K/7UeITkqmVkUvvn6mv6FbR1BYJGdv6QtJvT7+0Sg+f04bSyX3vBrTAxdvEhKTwLwRPQzLnmzTgPOhkYz8ciX1K5fjpW6ll1ZFpc/L3VqyO+g6AIMXrDDab9nzgwzTgN6bPklpGXy+9RB3Eu7iYm9Lj3rVmNyztVG3lk+f7MlnW/7izRXbSUhJo6KbE5N7tmZEK+O3U9FJKXy9+zjLX8qbKq9B5fKM69CYF5dtwMPBjg9HFN6v8WEFRiYwbkPevPDz/roAwMCaFfmwi76lzOYrt1Eo+lQ3XYl0KyGFuNS8B0V9bxe+6NmYz45cYvGJq/g42fFWm1r0q6l/cFpoNFyKSWLdxXASMzLxtrehbWVPXmleA+t7CjeXY5PYevUOa4blzVPds1p5joXH8vS6I1RxceDjbsbNkR+1wFsRjFu8yvB53vq9AAxsVoeXe7Zmd+BVAAb/9yej/ZZNHEaLnOl6b8UkEJec9xCv71ueL8b357NN+1n852F83F14a0Anw1tdgAmdm5OakcmM3/8kKTWdJlUq8c3zgwu0Urp8O5qtZy6xZsrThmW5TWCf/vI3qni58fFTvSktgSF3GPflb4bP8/7Qtxgb2LwuL/dqy+6c5ruDP/nBaL9lL4+gRU6/9VvR8cTdzUufFQdPAzB2oXG+/GDUEwzKaTo8plMz0rOymffHbhJS0gio6MWSicPw9TQugFy+HcXWUxdYk+8tVs+GARy7counv/iVKt7ufPx034dJgiIFRiYwbt0Rw+d5B4MBGBhQiQ+76lvBbL6ck8dqmC5c3ko0zmMl8Vbb2mg1MHnrSTKzdbSt7Ml7HQs2uz4QEkVIQjLzuuW1yHmynj/nIxMYufoQ9cu58FKz0p2VojTyWETCXab+vJn45DTcHe1oUqUSv746yjD9oZWFBV89O4jPNu3n5aXrSMnIwNfDlbkje9GxtvEsCubPY7cZ979fDZ/nrd0FwMAW9fjwqb7sPn+Zd3/ZbFj/+rJ1ALzUq61hPIjbcYkFWolcj4jh5LVQlrw0wuRxuzUMYMbwnny74zAfrt6Bv7c7nz8ziKbVjCvRohOT+Xr7IZa/lpc+DfwqMq5zc178ehUeTg58+FSfe4N/ZAIj4xm35pDh87z9gQAMrF2ZD7s3plu1Cszo3JBvj1/mw73n8Hdz5PPezWhaMa8cdDsptWD6xN3lZHgsSwa2Mnnc3dfu8O6O04bPr289AcBLLWoajTMRnZLG18cusXxYXounBuXdGNe4Gi9uOIKHnQ0fdi9Y4fMoBd6KYNxXqw2f563fB8DAZrV5uUcrdgdeA2Dw/F+M9lv24pB8eSzeKI8B/HU5hNvxSQxuUXCsJBtLC05cD+en/adJSE3D09GeplUrsXzScDzuabVy4OINQqLjmTeql2HZk20bcv5WBCO/WEF933K81N309/AoBN6KYNyilYbP89btAXKeY0Xdg14anpc+0QXTpzhvDeikv08v20BmdhZtA/x5b0jBMt+BCznp82TefebJdo316fP5cur7luelHm0K7PeolEZZEeCv0Bhu301jcCEVGr8FhrDoxFXD5zHrjgLwQad6DMq3T1koK/6d/Fu7XDwOGmWq7eVjEhkZyZAhQzh48CC+vr6GOVgjIiIICQmhbdu2rF69Gm/vwue3N2XWrFlMb2j+mRnKqjln9G+GJI1MM6SPs/StM2VOon7+7OlNy970W2XFnBP6itbpLUqvNcHf2Zyj+jFyprvGmzciZdSceFdA8lhRDHmslW8xW/47zTkcAsB0z7vFbPnvNCda37JgepP7K1/+m8w5qW8BMb1Z6bXM/Tubc1w/VamUFU2bk+jOjBkzzB2NUrPK7fFMsTosLuKxHKcsMWu3jpdeeons7GyCg4O5ceMGR44c4ciRI9y4cYPg4GB0Oh0vv/yyOaMohBBCCCGEEEIAMiBmaTJrt45t27axb98+AgICCqwLCAjgiy++oFOnTo8/YkIIIYQQQgghhHhszFo5YWNjQ2Ki6em0AJKSkrCxKZ1BDIUQQgghhBBCiPtx72yC4tExa7eOESNGMHbsWNauXWtUSZGYmMjatWsZP348o0aNMmMMhRBCCCGEEEIIUdrM2nJi/vz56HQ6Ro4cSVZWFtbW+mmmMjIysLS0ZMKECXz66afmjKIQQgghhBBCCAH8e8eDeBzM3q1j8eLFzJs3jxMnThhNJdq0aVOcnZ2LCUEIIYQQQgghhBB/d2atnMjl7OxM586dzR0NIYQQQgghhBCiUGYdF+Efzuxpm5qayoEDBwgKCiqwLi0tjR9//NEMsRJCCCGEEEIIIcTjYtbKiUuXLlG7dm06dOhA/fr16dixI+Hh4Yb1CQkJjB8/3owxFEIIIYQQQggh9DSax/P3b2TWyolp06ZRr149IiMjuXjxIk5OTrRr146QkBBzRksIIYQQQgghhBCPkVnHnDh06BA7duzA09MTT09PNmzYwEsvvUT79u3ZvXs3Dg4O5oyeEEIIIYQQQghhoJH5OkqNWVtOpKamYmmZVz+i0WhYvHgx/fr1o2PHjly6dMmMsRNCCCGEEEIIIcTjYNaWE7Vq1eL48ePUrl3baPnChQsB6N+/vzmiJYQQQgghhBBCFCDtJkqPWVtODBo0iF9//dXkuoULFzJq1CiUUo85VkIIIYQQQgghhHiczFo58fbbb7N58+ZC1y9atAidTvcYYySEEEIIIYQQQpimeUx//0ZmrZwQQgghhBBCCCGEMOuYE0IIIYQQQgghxN+F9t/arOExkJYTQgghhBBCCCGEMCupnBBCCCGEEEIIIYRZadQ/cDqMWbNmmTsKQgghhBBCCPGvNGPGDHNHodRs8az4WI7zRHT4YzlOWSItJ4QQQgghhBBCCGFW/9gBMafXdzV3FMqsOefiAZjetLx5I1JGzTlxB4DpTjFmjknZNCfJA4DpTbzNHJOya87JSACmN/Qwc0zKpjln9HlrerlUM8ekbJoTYQfA9GYVzByTsmvO8dsATG9f3cwxKZvm7L8CwHSfbDPHpGyaE2oBwPRGXmaOSdk153QUIGlUGEP6yHPMpNzn2D+VjIdZeqTlhBBCCCGEEEIIIczqH9tyQgghhBBCCCGEeJQ00nSi1EjLCSGEEEIIIYQQQpiVtJwQQgghhBBCCCFKQBpOlB5pOSGEEEIIIYQQQgizkpYTQgghhBBCCCFECWil7USpkZYTQgghhBBCCCGEMCtpOSGEEEIIIYQQQpSAtJsoPWZtOeHk5MSECRM4dOiQOaMhhBBCCCGEEEIIMzJr5URycjJHjhyhXbt21K5dm//+979ERUWZM0pCCCGEEEIIIYRJGs3j+fs3MvuYE7t27eLUqVN069aNDz/8EB8fH4YMGcKWLVtQSpk7ekIIIYQQQgghhChlZq+cAGjYsCH/+9//CA8PZ9myZSQkJNC3b198fX35v//7P3NHTwghhBBCCCGEQPOY/v6NzFo5ofl/9u47vsbrceD4JwnZe8qUiEiQECuEiBV7lNijRlul6lstXZRSVar10/JVOlAttXfsFZssBEkIIrKX7L3u748bN7kyhCa5+u15f1/31W+ece55jnPO89yznufGq6ipqTF+/HjOnDnDo0ePmDp1Klu2bFFM5ARBEARBEARBEARBaBAKbZyoadqGra0tX3/9NU+ePGnAGAmCIAiCIAiCIAhC1ZQa6H//RgptnFi8eDHa2to1HvP86ApBEARBEARBEARBEP63NFLkly9evFiRXy8IgiAIgiAIgiAIwmtAoY0TL1JcXExcXBw2Njb1+j2Bj+PYfPEmIbHJJGflsnbSALxaN5PtX3fGn+O3H5KQnk1jFRVaWZowp19n2tqY1Sr8387f4IeT13mzaxvmD/WQbV984DzXH8aQlJmDplpjXG2aMG+AO81MDQBIz81nwZ6z+EXE0tRIn2WjetHKwkR2/teHLmJlqMu07q51kxDVCHwUw+bzgYTEJJKcmcPaqcPwcmkOQFFJCWuPX+Fi2GNiUjPQVlfD3cGGuYO7Y6pX/aiYdSevsv7UdbltdiYGHP18GgCxqRn0/WZTleeunjyEAW1bkJ6bx4IdJ/F7GE1TY32Wje1PKytT2XFf7zuLlZEe03p2/LtJUDNLe5Q79gEza5S09Sg59Bs8uiPbrTJ3bZWnlV48iCTwXNVhKimh5D4QpZadQEsHsjORhPgh8TtZfkj/iSi37ix3miQyjNL9G8q+uBFKfcejZO8CuZmUnt0NUeHl53fsDToGSHz3veKF1540DwUREptUloeG4OVcMQ9d5eK9SGKeZqCtUZaHBnWrMQ95fbOJuLSsStvHd23DIu/epOfms+7kNa6GRxGflomBtiZ9nO35oL87OhpqQFkZ23ESv0cxZXmoL60sK+Sh/eewMtRjWs8OdZwi8gIjYtl88QYhMckkZ+WwdvIgvFrby/avO+3H8eBwaR3UqKwO6u9OW5smrxxmbcItLC5h0d6znAuNwFhHi0XDe9DVobw+3nThBvHpWSx8o0cdp8hz1xKTwubAB4QkpZOck8/aoZ3xam4hd8yjp5msvhxCQEwKJaUS7I10+HFIZyx0NV8Y/rH7MXx8LIDe9uasG9ZFtn3BySAOhkbJHevR1JRfvbsBZelz+ibnIuIx1lRjUW9XujYtzz+bAsOJz8pjYa+2f+fyayXwUQybfQPK6+lpw/BycQDKytixZ/V0urSebtH0hfV0Rb+d9eOHo5d5s3t75o/oJdu++9ptjt4IIzQmiZyCQq5/8z66Guqy/YXFxSzadYpzdx9hrKvFopF96NqiqWz/pnMBxKdnstC7Tx2lRNUCHzxh8+mrhETFk5yRzdoZY/BydZLtP30zjF2XggiJiicjJ499C96lpXX15QvgQVwS63zOExIVT1xqBp+P6sfkPl0qHbf9fACbT18lJTMbRyszvhg7kDa2lrL9K/ee5MC1YDTVVPloeB+GurnI9p0ICuWwXzDrZ43/+4lQg8DoJDb73yckIVVaxkZ0w8vBSrZ/wTE/Dt6NlDvHw64Jv46uvux7/exDXGZupe3j2zVnUd8OxGbk0PeXI1Weu3pYVwY4WZOeV8CCY/74RSXR1ECbZQPdaGVmIDvu69NBWOlpMc3Nqcpw6lJgRCybLwQREpNUVqcOwctZWqcWlZSw9uS18vuYuhruDtbMHVjzfayktJSfTvvhc+MeKVk5mOpqM7xjS2b2caty5PCSfWfZ7XeXz4d6Mrl7O6CsjO09y7mQCIx1NFk0opd8PX0+SFpPD+9ZtwnyHEWlj0QiYd2p6+zxv0tWXgHtbC34ckQvbE2k+eS1SR8F3MeKSkpZezWUi48TicnIQVutMe42Jsz1aI2ptgbwet3H/kmUxcD+evNaN06EhITQvn17SkpK6vV7cguLcDQ3xrtjSz7YdqLSfltjfb4Y1h1rQ13yi0r483Iw0zf7cOLjiRiWFe7q3IlOZLd/CI5NjCrta21pwlDXFpjra5ORW8BPZwN4Z7MPpz+dhIqyMr/4BpFTUMS+2WPY6XeXxfvPs2f2aACCoxK4HZ3IggqNHfUlt7AIRwsTvN1a88EWH7l9+YXFhMYkMbNvF5wsTMjMy2f5wfO8v/kQez6aWGO4zZsYsWnGKNnfjZTLZxk10dfhwuIZcsfvuX6bzecD6e5kC8AvZ/zJKShk39xJ7LwazOI9p2XfGfwkjttRCSyo8BBdbxqrIkmORRJyHZVh71TaXfLzF3J/K9m1QqnfeCQPgqsNUqmTF0ptPSg9sQ2eJoCZDcr9J0BhHpKbF2XHSR6HUnryrwpfVlwehktXlMysKd25GiXbVigPmkLps7joGqLk0pXSv1a94kW/HLk89If8w2h+YTGhscnM9OqMk4UxmXkF0jz0+2H2fDih2jB3zxlPSWn5ujUPEp7yzq/76d9G+oMsOSOb5MwcPhnSHXszQ+LSsvhq31mSM7L5ccoQoEIe+mgCO6/eZvGeM7LvDH4SL81D9fzAAhXroFZ8sPVYpf22xvp88UYPrA31yC8q5s/Lt5i+8RAnPp1cbR30ojBrE+5uv7uExCaxfdZoLt1/wqc7TnFp0dsoKSkRk5rBXv8Q9vxnbJ2mRZXXUlSMo4ke3s5N+cDHr9L+qPRsJu2+yMjWtrzv3hJt1UY8fJqFWiOVF4Ydm5HD9xfv0MGych0N4GFrxjf92sv+VlUpr6d234kkJCmd7WN7cCkykU+PB3BpxiBp+mTksPdOJHsmNEAdRMUy5swHWw7L7ZOWsURm9iurp3PzWX7Ql/c3HWTP3EkvDPtOVAK7r93G0dyk0r78wiI8nGzxcLLlh6OXK+3ffe02ITGJbJ8znkthj/l021EuffWeNI2eZrDX784L7xV1IbegEEdLM7y7tuODX3ZX2p9XWER7e2sGtG/Fl39V/YP5efmFRVgZG9C/fSu+3XuqymOOB4awct8pFo8fTBs7S7ae8+PdtX9xdMn7GOlq4Xv7PkcC7rLxg0k8SUpl4dbDeLSyx0Bbk6y8fNYcPsemOW/+rWuvjdyiEhxN9fF2seODg1eqPMbDrgnfDHST/a36gvK1e3Jf+To6JYN3dl+gv6M1AE10NLgwa5jcOXuCI9jsf4/uzaQNQ79cCyWnsIh9U/qx8+ZDFp8IYM+UfgAEx6VwO+4pC/q0e/kLfgWyOrVTKz7486jcPmkZS2JmHzeczMuehQ5f4P0tPuyZU33D0sbzgey8dpsVY/vR3MyIuzGJfLH7NNrqarzp4Sp37Jm7DwmOSsBUV0tu+26/u4TEJLH9/TFcuh/Jp9tPcOnL6RXq6bvs+WBcnaVDdRSVPpvOB7Htyi2Wj+2HlaEua09e591NB/GZ9yZqjRu9PumjgPtYfnEJoUnpzOzsiJOJHpkFRSw/f5v3D11nz0Tpvel1uo8JArzmjRMNxdOxKZ6OTavdP8S1hdzfnw3uxr7AMO4nPMW9uVU1Z0FOQRGf7jrDV949+eVcUKX9Y9xay/6/pQF80NeNEWt3E5uWhY2RHhFJaQxs2xxbE31Gu7Vij38oIG2BXnLwAl9790JFuf6XDfFsaYdnS7sq9+loqLFp5ii5bQtH9Gbsmu3EpWViYaBbbbgqysqYPHeTrWnfmTsPGdC2BVpqqgBEJD5loKsjtiYGjO7iwp7rt4Gy9Nl7lq/H9G2Q9CEyDElkWPX7c+V795XsXSD6AWQ8rfYUJQs7JI/uwGPpvzmZqeDUHpo8l09LiiuFL2NoJg3jaQKSjKco9xgOGtqQl42y11hKLx2GwvxaXODf98I8NMNbbtvCEb0Yu3ZnjXnIUFu+J2GjbwDWRnp0speWSQdzY9aUNUIA2BjrM2dgVz7bfpLiklIaqSgTkZT6XB6SjngpKilhyb6zfD26YfKQp5MtnmWNblUZ0s5R7u/PhnRnX0Ao9xNScG9u/Uph1ibciKQ0ereyw6GJEdZGeqw6doW0nHwMtTVYeuA88wZ2RVtdtVbX+Hd42jXB0676Xuw1V0LxtG3Cx57Osm02+i8eEVBSKuHT44HMdm9JUOxTMguKKh2jqqKMiZZ6FWdDRGoWvZs1wcFYF2t9LVZduktaXiGGmmosPXuLed2d0VZrXIsr/PteXE+Pltu20LsPY3/864X1dE5BIZ/+dYyvxvTjl9PXK+2f3EM6qsj/YXSV50ckptK7tT0OTYyxNtRjlc9F0nLyMNTWZOneM8wb3B1tdbXaXuYr83R2wNPZodr9wzq3ASD2aXqtw3SxtcSlbATE6oNnqzxmy9lrjO7WHu+urgAsHj+YC3cesP/aTab39yAiIQU3B1ucm1rg3NSCb/ecJCYlDQNtTVbtP8M4z45YGOrVOk6vyrOZOZ7NzGs8RlVFBZMXdMhUZKgpX242+oVhra9NJ2tpI5eKsnKl8M48iGGAkzVaqtJyE5GaxUAnG2wNdRjtas+e248AaY/wklNBfN2/U8Pc56m5TtXRUGPT9OfuY8N7Mva/u2osY7ci4+nduhk9ysqupaEux27d5050gtxxiRnZfHPoAr++PZz3fj8kty8iKVW+nj56ubyM7fdl3qBuDVPGFJA+EomEPy/fZEYfN/qUjQz8dmw/un/9G2dDHjHI1fH1SR8F3Md01BqzaaR8J+bCXm0Zu+M8cZm5WOhqvlb3sX8SMXCi/ih0Qcz27dvX+Bk3rv5bMl9WYXEJu/1D0FFXxcm86p62Z5YdukgPp6Z0rebHQ0W5hUUcCLqHlYEuTcqGuDmaG+H3KJbiklKuhEfTomz0xaaLN3Gzs8S5whSG10lWfgFKSqCrUXNlH5WSRo+vfqHfN5v4ZNsx4tIyqz02JDqRe3HJjKww3NXRwgS/h9HS9Ln/hBZlvXqbfANxs7fC+QVDchVCUwfsWiO5W/khvyJJ3GOUrFuAfllPpbEFWDSDx881glg1R3nmNyhP/QKlPmNAvcIP9uRYlCybQaPG0NQJSXYG5GWj5NQRiovg4e06vri6k5VfWKs89ExhcQk+Qffwdmtd4yK62fmFaKur0qis99vRwrhCHoqkhYUxAJt8g8ryUO2mbjWkwuISdvvdLauDjOs1XEdzY25ExpNfVMzl8CeY6GhhoKWOz837qDZSkQ3ZVaRSiYQLjxOxNdBm+v4rePx8lLE7znPmYdwLz11//R6GmmqMdLat9piAmBQ8fj7KoC2n+ersLdLzCmT7HE30uBH3lPziEi5HJmKipY6Bhio+YdHS9HluyO7rpLb19LJ9Z+nR0k5uKsbLcLQw4cbjWPILi7h8PxITXS0MtDTwCQpDtbEKXm2qbzD4pyssLiE0Kp4uTuWNRsrKSrg72XErIgYARysz7kbFkZGTR8iTOPKLirAxMSToYRRh0QlM6uVWXfANLiA6CY91Bxn02zG+OhUoVxZepLCkBJ/QJ3i72FVbR4ckpHIvKZ2Rbcqn1Tqa6OMXlURxaSlXHsfTwkQfgE3+93CzNsHZ3PBvXVN9qs19zNXWnOsPo4lMTgPgXlwyNyLj6O5oKzumtFTC5ztP8laP9jhUMQrX0dyEG5Fx0nr6/rN6WgOfG/ekZaxsCuXrpi7SJyY1k5SsXNwrTNPQ0VCjjXUTbj2RNmD8E9Knvu9jFWUVFKEE6JY1OPyT72PC/yaFjpwIDQ1l3Lhx2NlV3dsTHx9PeHh4lfsa2vmwSObtPEV+UTEmOlpsfGsoBlrV9yAcC35AaFwyu98fVe0xADuu3WXViavkFRZjZ6LPxreHyoZKTu/ZnqUHL9J/1TYsDXT5emQvIlPSORR0nx3vjWTJgfNcfRBDaysTlnr3RKcBWn5fpKComNVHLzHI1anGlug2NuZ8M24AdiYGJGfmsP7UNd78aReHP56CVhU9sfv879LMzJB2duWV5PTebizdd4b+KzZJ02dMPyKT0zgUEMKOD8azZO8Zrt5/QmtrM5aO7itbZ0CRlFq5QVF+jVM6ACT+Z0BVHeVpX0CpBJSVkFw+iuReYPlBkWGUPgiGzKegZ4yyx1CUvN+jdMdqkEiQhFwHE0uUpyyAvGxKj/wO6poodR1E6e61KHUdjJJTe0hPofTUdsjOqOerrx1pHrrMIFfHWvdmnL37iKz8AkZ0bFXtMWk5eWw47cfoLuW9EtN7dWLp/nP0X/E7loa6fD26rzQPBYay4z9jWbL3LFfDn9Dayoylo70UmofOhz1m3vaT5BcVSeugd4bXWAfVRbjenVoSnpDC0P/7CwMtdVZPHEBGXgHrTl1nywxv1py8xrHgB9gY6rFsdB/Marl+QV16mltAblExGwPC+aBbK+Z6tOZyZCJzfPzYMro7nayqbsAJik1hf0gk+yf1rjZsD1szvJpbYKWnSVR6Dj9eCWXGgWtsH9cDFWUlvFs3JTwlg6F/nMFAQ5XVgzuRUVDEumthbBntwZoroRy7H4ONvhbL+rXH7CV6netTQVExq49cZFC7muvpYzfvERqTxO6/Me3Cu7Mz4fHJDP1uCwZaGqyePISM3HzWnbjCllljWHPsMsdu3sfGWI9lY/tjpq/zyt/1uknPzqWkVILxc6MAjXS1iEhMAcCjVXOGurkwZuVG1Bs3ZsWU4WioqbJ0xzGWTx7GzouB/OUbgIG2BksmDsHBQjGdEh525ng5WGGlr0VUejY/XrzDjD0X2T6pT61GLpx9EEtWfhEjnKt+3gPYdzuCZka6tLMsL7PTuzix9FQQ/X89iqWuFl8P6ERkahaH7j5mxyQvlpwM5GpkAq2bGLJ0QEd01Op/JFdtFBQVs/rYFQa1rfk+Nr1nJ3LyCxm86k9UlJQpkZQyp39XhrYvX0Nj4/lAVJSVmdTNtcowvDu1Ijw+haGrtkrr6UkDy+vpmSNZc+Iqx4LDsTHSY9novgqpp59XV+mTkpUDgPFzIymNdDRl+/4J6VOf97GKCopLWH05hEFOVrLREP/U+5iiiZET9UehjRPOzs507tyZ9957r8r9t27d4rfffqsxjIKCAgoK5Fvvi4uLqzn61bnZW7L/P2NJz81jT0Aoc3ecYueskRhpV16kJj49ixVHLrPxraGoNa45iYe0c8DdwYqUrFx+v3SLudtP8dfMEag1boSOuhrfj+srd/y03w7x8aCu+NwKJyY1k6PzxrN4/3nWnw3ks8Hd6vSaX1ZRSQlz/zyCRAKLR9W8uFnF4ceOFia0adoEr2UbORF8n5GdXeSOzS8q4uiNe8zsK7/4o46GGt9PGiy3bdqGPXw81BOfG2HEPM3g6OdTWbz7NOtPX+ezYfW7aF9tKDl3QRIWKLc2RJXHObZDqWVHJMf+RPI0HiUTK5R6ekNOBpJQfwAk92+Un5AST2lKHCpvLwYrB4gOh9JSJOf2IKkYbr8JSG5eAFMrlJq7UPrnSpQ69UG510hKfTbX/QW/pKKSEuZuPYYECYtH1u5mC7Df/y7dHW2rXVgrO7+AmRsPYm9myPv9yhes09FQ4/uJA+WOnbZhLx8P6Y7PjXvEpGZw9LMpLN5zhvWn/fhsmOerXVgdcLO3Yv+ccaTn5LPHP4S5f51g5+zRVdZBdRVuYxUVFj235saC3WeY1K0tYXHJnA2J4MCH49l0Pojlhy+y5s1Bfysur0Iikebw3vbmTGkv7QFraarPrfhUdt1+XOVDXU5hEZ+fCOIrr3YY1NDgNMixfNpeC2M9HI316P/7KfxjknG3MaWxijKLervKnbPgZBCTXJsRlpTB2UdxHHizN5sCHrDc9zZrhnZG0aT1tE9ZPe1V7XHxaZmsOODLxpmjXngfq0ljFRUWjZT/ngU7TjCpe3vCYpM4e/chBz6ezCZff5Yf8GXNtGHVhPS/a/aQnswe0lP2909HLuDuZEcjFRV+Pn6JQwtncv7OA+ZvOcTeBdMVEsdBLct7pluY6ONook//X4/iH52Me9MXjzDbf/sx3ZuZY6pT9Q+b/KJijoZFMdNdvoFZR02V74e6y22bttOXj3u64hP6hJiMbI6+M4jFJwNYfyWEz3o3zPoTNSkqKWHutmNIJBIWe9c8V//E7XCO3LzP9+MH0NzMiHtxyazwuYiprhbDO7YiJCaRrZdvsW/O+GpHnDRWUWHRc+trLdh9ikkebQmLLaunP5rIpvOBLD90njWTh1QZTkOpy/SpjX9C+tTnfeyZopJS5h71lz5fVbhv/RPvY8L/NoVO6+jWrRv379+vdr+Ojg6enjX/GFixYgV6enpyn0uXLtV1VNFUbUxTYz3a2jRh2cjeqCgrsy+w6nUGQmKTeZqdx6h1e3D5YgMuX2wg4HEc267dxuWLDZSUlsqO1VFXw9ZYn452FvwwoT+Pk9M4E/K4ynD3B4aho6FKn1Z2BDyOpU+rZjRWUaG/iz0BES8e+lWfnjVMxKVlsmnGyJeev6eroY6tiQFPUtIr7TsV/IC8oiLeeMGNaL//XXQ01Ojj3JyARzH0cbaXpk/bFgQ8qno+dIOybIaSoRmSO9deeKiS5xtI/M9IGyBS4pGEBSC54YuSW9/qT8p4iiQ3GyX9aob6WzugZGyO5NZFlKwdkDwOheJCJOE3pQ0aCvasYSIuLZNN73rXOg/FpmZy7UE0Izs7V7k/J7+Qd387iJa6Kv+dOpTGKtUvLrXfP6QsD9lL81DrsjzUpgUBj2Je6brqirQO0qdt0yYsG90HFWUl9gWENmi4fo9ieJT4lAld2xDwKBZPJ1s0VRszoI0D/hGxfzsur0JfQ41GykrYG8n3uDcz1CG+ijcFAESl5xCbmcv7h67j8uNBXH48yKHQKHwfxePy40Gi0rOrPM9aXwsDDVWi0nOq3O8Xncyjp1lMcLUnICYZT9smaDZuxIAWlvjHJP+9C60DRSUlzP3jCHGpWWyaOarGMhYSk8jT7FxGrd6Ky8ercfl4NQGPYth2+QYuH6+Wu4+9DL8HUTxKeMoED1cCHsXg2dIOTbXGDHB1xP91qKfrkL62JirKSqRkyueXp5k5GOtW3ZAakZCCj/8d/jO0F/7hkXRs3hRDHS0GdGhFaHQ8Ofm1n0pRn6z1tTHQUCOqijcmPS82I4drTxLlpms871R4DHlFJbzxgqHp++9EoKPWmD4OlgREJdHHwZLGKsr0d7QmIPo1KWPbjhOXnsWm6SNeeB9bdfQy7/TqyCBXR1qYGzOsQ0umdG/Hb77SUZJBj+NIzcmlz4rNuHy+FpfP1xKXlsV3Ry7htaLqDgW/h9E8SkxlQte2BETEVKinWyisnn6mrtPHWEc6KiklW76uf5qVK9v3vNcxfer7PvasYSIuM5dN3t1qXEPidb+PvS6UGuh//0YKHTmxZs2aGvfb29vj6+tb4zHz589n7ty5ctu+//77vx23F5FIJBQWV/0WEffmVhyaI7+C/Rd7z2FnYsA7PdrVOARSgnRu5vNSs/PYcC6QbTNGANIFcIpLpccVlZRSInm1B8W68Kxh4klKOlveG43+Kww1zykoJColnaEdWlbat8//Lr1b21daALGi1OxcNpy+zrbZ0nQvKZVQXFJaFr9SuRXDFUXJ2R1JQhSk1KIhqZEqSJ6Lc6kEalhPAW190NBEklPF2h0qjVDuPZrSY39Kw1VSAuWyH+nKKjWH2wCeNUw8SU5ny3sjXyoPHQgIwVBbQ7ZgVkXZ+QVM/+0Aqioq/DRtWI09wNI85Me22WMAKJFIKC77AVZUWqLQMlaVmuqg+gi3oKiYrw+e57tx/VFRVqZEIkFSVsaKS0spfcUfq3+XqooyzmYGPE6Vb1CITMuu9vVrzQx1OPSm/OiuNVdDySksZkHPNjTRqfq8hKw80vMKq1wgs6C4hK/PBfPdwI6oKCtRUgoSpQrpo+Aq6FnDxJOUNLbMGvPCMubu0JRDn0yR2/bFzhPYmRryTm+3V1qEsKComK/3n+W7iYOkeai0FIlEWvcUl5RSquhEqmOqjVRoZWPO9fuPZa8tLS2VcP3+Yyb07FTpeIlEwpLtR/hsVF+01FUplUgoLnseeHY/ex3uZQAJWbmk5xVgUou6+sCdxxhqqtHDvvoFN/fdjqB3c4tKi2hWlJqbz4aroWybIB1VVyKRUFwiTY+i0lJKnr9nNrBnP7yfpKSzZYZ3re5jeUXFKD93/1VWUqK07FqGtXfC3UF+3bLpGw8yrL0TIzq25nmyenp8WT1dKkEiKctDCqynoX7Sx8pQF2MdTa4/iKalhXSNruz8Am5HJzDO3aVSeK9r+tTnfexZw8ST9Gy2jOqOfg2jLF73+5jw7/CPf1uHmpoaamryBa1Ro5e7rJyCIqKels+3j03LIiwuBT1NNfQ11fnFN4jeLW0x1tEiPTeP7dfukpiZQ3+X8kV0pm08hFerZkzs6oKWmmqlRYs0VBujr6ku2x6dmsHx2w/p5mCNgZYGiRnZbLxwE7VGKng62vC8FUcuM9XDVTYXrn1Tcw7fDKergzV7/ENp37TmVbb/jmcNB8/EpmYQFpuEnqY6JrpafPjHEcJiEln/zghKSiUkl/US6Wmqy9bPmLZhD14uzZnoIR1y+d3hC/Rq3QwLA12SMnJYd/IqKsrKDG4n/67yJylpBEbE8PM7I2qM44qD55naowNmetJW5/a2FhwOCqOrY1P2XL9Ne9t6XNCnsWr5wpWAkp4REhNLyM+FLOkiTqiqo9TCFcmFg1UGoTzqfSQPbyO5JR31I4m4i1LnfkiyUqWvEjW1QqlDL+k6EmXfqeQ+ULp2RU6mdM0JzzcgPQWe3KsUvlKX/kgeh0ByWe9/3GPp6IwQP5RcPSGu6tE6daVyHsqUz0N/HiUsJon1b79RfR76eR9ezvZMrPB6tdJSCQcCQhnesZVskctnsvMLeOfXA+QXFbNyygCy8wvJzi8EwFBbo9KPqxWHLjC1R/vyMvYsD7Voyp7rd+s1D+UUFMrXQamZhMUlo6ehjr6WOr+cC6B3y2YY62qSnpPP9mu3K9dBvx7Ay7kZE7u2fWGYFgY65BYW1SrcZzacDcDT0ZZWltK83q6pOauOXWFEx5Zsv3qbdrb1WAcVFsv1AsVm5hKWlI6euioWupq81dGBuUf96WhlhJu1CZcjEzkfkcCW0eWrlH9+IhBTbQ3merRGrZEKDsbyq8M/Wxzs2facwmLWXw+jn4MlxppqRGXk8H+XQrDR18KjaeV5/xv87uFpZ0YrU30A2lkYsurSXUa0bsr24AjaWdTvwn0vLGNbfAiLTWT92y+op52bM7F7O7TUVXF4bsFV6X1MQ257cmYOKVk5RKVI67rw+BS01FQx19ep9ONjw+nreLa0o5WVdBpAOztLVvlcYISbM9sv35RbU6iu5eQXEpWcKvs79mk6YdEJ6GlpYGGoR3pOHvGpGSRlSEcCRCZK36ZkrKuNSVmd8PmWg5jq6zB3uPQHQWFxCY/ipT2JRSUlJKZnERadgKaaKk1Npf/eU/u4M/+PgzjbWOBia8Gf5/zIKyhihLtrpTjuvXITQ20terWRvkWnnb01Px25QHBEDBdDHmJvboJuDT/e/1b6FBYRlVahjKXnEJaYhp6GKnrqqqy/EkI/RyuMtTSISs/m/84HY2OgjUeFtw9M2+mLVwsrJrYvH4lXKpFw4O5jhjvbyr0uvKInaVkERifz86gXjJQ9e5OpnRwxK/vR1d7SmMMhkXS1a8Ke4AjaW1YzarCOVK5TM8rqVDVpGdt6jLDYJNZPG0aJREJy2ZoHehoVytiv+/Bq3ZyJ3aT1dK+WdvxyLgBzfR2amxkRFpfEH5du4t1JOlJUX0ujUjlqpKKMsY4WdqYGleK44aw/nk62tLKU1lHtbM1ZdfQyIzq1YvuVYNo16H2s/tNHSUmJyR7t+OWcP02N9aWvEj11DVNdLdnbO16b9FHAfayopJQPj/gRlpTB+uHu0nTPkb6lTU9dVe7V2KD4+9g/iYL79P6nvRaNE/7+/ly7do2EBOnKuk2aNMHd3R03t4ZZpTokNompv5W/mmnlUek7voe3d2Tx8B48Tk5jzo37pOXkoa+pjrOVKVvfHY6DWXkhjX6aSVpuXq2/U61RI4Iex7P1ym0y8gow1tagg60F29/zrjSH/HJ4FFFPM1g5pnze7gR3Z+7GJjFu/T5crMyY1afjq17+C4VEJzJ1wx7Z3ysPXwBgeMdWvN/fHd8Q6au9vP9vq9x5W94bjVvZm0qin2aQllOePokZ2Xy87RjpZa8lbG9nyY4PxlcaHbHfPwQzPR26tbCtNn6X70US9TSdlRPK1w6Y4OHK3ZhExq3ZgYtNE2b1c6/2/L/NzAaVMR/I/lTuKX1dVmmIH5KTfwGg5NgeUEJyr/IrZQHQM5a+5rOM5Nxe6DYY5T5jQFMbsjOR3L6C5PqJsgMkKBlbSBfYVNOA7AwkT+4huXqs8noWRuYotWhH6dbvysMPvyV908fYOZCWROmxP/52MtQkJDqRqT/vk/298vBFAIZ3bMn7/brgGxIBgPfqv+TO2zJzZIU8lC6XhwCuPYgiPj0Lb7fKPUihMUncjpLWKQO+3SK37/SCaVhWeD3f5fuRRKWks3L8ANm2Cd3acjc6kXFrd+JiY8asvl2oLyExSUz99YDs75VHLgMwvIMTi0f04nFSGnOCjpXVQRo4W5uydeZIuUbQ6NQM0nLyaxXm8jF9UVFSqlW4AA8SnnLi9gP2f1j+Pvr+Ls0JiIjlzQ37sDPR57vx/es2USoISUxj6t7L5ddyQfrK1+GtbFjevwNezS1Y3MeV3wLCWe57G1tDHX4c6kaHCj9W4rPyKvXA1URFWYnwlEwOhUaRWVCEqbYG3WxM+U/XlrIH6WcepGRyIjxWblGy/i0sCYhJ4c3dF7Ez0OG7QfVXR0NZGVu/W/b3ykPnARjeqXXN9fSsMeVlLKVyGXuRXVeDWX+qfKra5HW7APhmXH9GuJVPtXoQn8KJW/fZP2+ybFv/Ni0IeBjNm+t2YmdiyHeT6m/NkpCoOKb+8Kfs75V7TwEwvEtblk95A9/b9/niz8Oy/fM2SeurWYM9ZetBxKdmyOWh5IwsRi7/Vfb372eu8fuZa3RyaMofc6WjTgZ2bE1qdg7/PXKelMxsnKzM+OU/EypN60jJzOaX45fY/slbsm1tbC2Z6tWFmet3YKSjxfIpb9RRalQWkpDG1J3lI1VX+t4CYLizLV/27UB4cgaHQiLJzC/CVFudbrZN+E93F7myEJ2eTVqu/LSTa5GJxGfm4u1S/ZSO/XceY6ajSbcaXrN4+XE8UenZrBxSXg9PaO/A3YQ0xm09jYu5EbO6Vr4P1KWQmCSm/lLhPnZE2pkwvENL3u/bBd/QsvvYj9vlztsyYyRuZa+4fv5Z6Is3erL21DWWHvAlNTsXU11txnR25j2vl5/X/yAhhRPB4eyvsIBtfxcHAiJieHPDXuxMDPiuwj2urikqfd7u2YG8wiIW7ztLVn4B7W0t+PXt4ZVGSio8fRRwH0vKzsM3Qvoc5L3tnNy+LaM8cLMu71h7He5jggCgJJEobhxcUlISI0eO5MqVK9jY2GBmJu1NSUxMJCoqim7durFv3z5MTV9udeqvvvqKhS769RDj/w3L7qQDsLDDa/iqzdfAsiBpRb5Q56mCY/J6WpYl/eG6sP3r+Srb18GyG0kALGxb8+uG/62WBUvL1kKzl/sh/G+xLFHaU7qwY/2NRvmnWxYYD8DC7op/DeDraNmlhwAstKr7qV//C5bFSBtVFrqavODIf69lt6SjgkQaVU2WPuI+VqVliRosXrxY0dGoN9ebWL/4oDrQJeF/ay2m2lDogpizZs2ipKSEsLAwIiMj8fPzw8/Pj8jISMLCwigtLeX9999XZBQFQRAEQRAEQRAEQahnCp3WcfLkSS5evIijo2OlfY6Ojqxdu5aePXs2fMQEQRAEQRAEQRAE4TliyYn6o9CRE2pqamRmVvFmgTJZWVmVFrsUBEEQBEEQBEEQBOF/i0IbJ8aOHcuUKVM4cOCAXCNFZmYmBw4cYNq0aYwfP76GEARBEARBEARBEAShYSgpKTXI599IodM6Vq9eTWlpKePGjaO4uBhVVVUACgsLadSoEW+//TarVq1SZBQFQRAEQRAEQRAEQahnCm2cUFNTY8OGDaxcuZKgoCC5V4l26NABXV3dF4QgCIIgCIIgCIIgCA3j3zmmoWEotHHiGV1dXXr16qXoaAiCIAiCIAiCIAiCoAAKXXMCIC8vj8uXLxMaGlppX35+Pn/++acCYiUIgiAIgiAIgiAI8pQa6PNvpNDGifDwcFq2bImnpycuLi706NGDuLg42f6MjAymTZumwBgKgiAIgiAIgiAIglDfFNo48dlnn+Hs7ExSUhL3799HR0cHDw8PoqKiFBktQRAEQRAEQRAEQRAakELXnLh69SpnzpzB2NgYY2NjfHx8mDVrFt27d8fX1xctLS1FRk8QBEEQBEEQBEEQZP6tr/lsCAodOZGXl0ejRuXtI0pKSmzYsIGhQ4fSo0cPwsPDFRg7QRAEQRAEQRAEQRAagkJHTjg5OREYGEjLli3ltq9btw6AYcOGKSJagiAIgiAIgiAIglCJshg4UW8UOnJixIgR7Nixo8p969atY/z48UgkkgaOlSAIgiAIgiAIgiAIDUmhjRPz58/n2LFj1e5fv349paWlDRgjQRAEQRAEQRAEQaiakrJSg3z+jRTaOCEIgiAIgiAIgiAIgqDQNScEQRAEQRAEQRAE4Z9CvKyj/oiRE4IgCIIgCIIgCIIgKJQYOSEIgiAIgiAIgiAItSBGTtQfJcn/4OswvvrqK0VHQRAEQRAEQRAE4V9p8eLFio5Cvbnd1LZBvqfNk8gG+Z7XiRg5IQiCIAiCIAiCIAi1oCSGTtSb/9nGiYUttRUdhdfWsrBsABa2N1VwTF5Py24kAbDQqkTBMXk9LYtRAWChm6WCY/L6WuYfC8DCzlYKjsnraZlfDAALrf/nBu7ViWXR0oeehe5NFRyT19eya08AWNjLScExeT0t870HwMIejgqOyetp2YX7ACzsYqPgmLy+ll2PAmBh9+YKjsnradmlhwAsdFBXcExeT8se5Cs6CsI/1P9s44QgCIIgCIIgCIIg1CUxcKL+iLd1CIIgCIIgCIIgCIKgUGLkhCAIgiAIgiAIgiDUglhzov6IkROCIAiCIAiCIAiCICiUGDkhCIIgCIIgCIIgCLUgBk7UHzFyQhAEQRAEQRAEQRAEhRKNE4IgCIIgCIIgCIIgKNRrMa2jpKQEFRUV2d/+/v6UlpbSrl071NTUFBgzQRAEQRAEQRAEQZBSFvM66o1CR048efKEjh07oqamxsCBA8nMzKRv37506dKFrl270qpVK8LDwxUZRUEQBEEQBEEQBEEQ6plCGyfmzZuHtrY2Bw8eRFdXl0GDBlFcXEx0dDSxsbE4ODjw2WefKTKKgiAIgiAIgiAIggBIF8RsiM+/kUKndVy8eJFTp07h6upK9+7dMTAw4OLFi1haWgKwfPlyBg0apMgoCoIgCIIgCIIgCIJQzxTaOJGfn4+enh4AOjo6qKiooKOjI9uvq6tLbm6uoqInCIIgCIIgCIIgCDJK/9ZhDQ1AodM6WrduzebNmwH4448/MDIyYufOnbL9O3bsoEWLFoqKniAIgiAIgiAIgiAIDUChIyeWLFnC8OHD+e6771BWVubkyZNMnz6dc+fOoaysTEBAANu3b1dkFAVBEARBEARBEAQBACWFdu//b1No40T//v0JCwsjKCiIDh06YGtry8WLF/npp5/Izc1l+fLl9OrVS5FRFARBEARBEARBEAShnim0cQLA1tYWW1tb2d9mZmYsXbpUcRESBEEQBEEQBEEQhCqINSfqj8IbJ2pSXFxMXFwcNjY29fo9gZHxbL4cTEhcCslZuawd3w+vVray/evOBXL8ziMSMnJorKJMKwsT5nh1oq21abVh5hQUsvZsIGdCI0nNyaOluTHzB7njYlV+Tkp2LqtP+XPlYQxZ+QV0bGrOgiHdsDXSkx2z8vg1DtwMR7NxIz7q58bQtg6yfSfuRnD4VjjrJw2o2wR5TuCjGDafDyIkNonkzBzWTh2Cl3NzAIpKSlh7/CoX70US8zQDbQ013B1smDuoG6Z62tWG6fXNJuLSsiptH9+1DYu8e8ttk0gkzNh4kMv3n8h9d3puPgt2nMTvUQxNjfVZNrYvrSzL0/fr/eewMtRjWs8OdZEM1QqMTmKz/31CElJJzsln7YhueDlYyfYvOObHwbuRcud42DXh19E9agw3MSuX/7twm0sR8eQXl2Cjr803A91wNjcEIKewiB8u3Obsg1jS8wux1NNiUnsHxrVrLgtj5bmbHLgbiWZjFT7ybMPQ1rayfSfuRXM4JJL1I7v//UR4gcBH0Ww+F0BIdII0D701HK820rxcVFLC2qOXuRgWIc1D6qq4t2jK3KE9asxDNYVZ23ALi4tZtPMk5+48xFhXi0WjvOjqaCsLY9M5f+LTMlk40qt+EubZtTyMZvM5//JreXuE3LWcDg5n15VbhEQnkJGbz75PptDSyqzGMItKSvjt9HUO+YeQmJGFnakhc4f1oHvLZrJjcvILWHvsMmduPyA1O5eWlqbM9+6DS1Nz2TGbz/mz+aw/AG/3cWNabzfZvuDIOL7ec5qdc9+kkUr9jXEMjE5is18YIYlpJGfnsXZEd7xaVChjR69z8O5juXM87Jrw65jqR96tu3yH9Vfuym2zM9Th6PQhcttuxaaw5mIwt+OfoqykhJOpAb+N6Yl640YUFpew6IQ/5x7EYKylwaJ+Helq20R27ia/MOIzc1jYt+PfufxaCXwYxeazfoREJZCcmc3ad0bi1bZ8zabTt+6z68oNQqLK8tBnb70wDwFk5uaz5sgFTgffJyM3HwsDXT4f6UWP1tJ65tdTVzkTfJ+IxFTUGzfC1c6SeW/0ws7MSBbGyv1nOOB3B03Vxnw0rCdDOznL9p24GcZh/7usnzG6DlOjssDwSDafvEzIk3iSM7JYO2s8Xu1ayvZLJBLWHT7HnktBZOXm0665DV9OHIpthet43rrD51jvc15um10TY45+/YHs74KiIr7bfZJjAXcoLC7Bo3VzFk0cgrGutA5Kz8llweb9+N2PpKmpIcumjqCVTXn5+/qvI1iZGDCtX7e6SYhqBIZHsvnUFUKiytLnvXF4uT6XPj6+0vTJy6edvQ1fThhSY/qUlJbyk48vPn63ScnMxlRPh+FdXZk5qIfswf5F4RYWFbNo6yHOBd/HWFebRRMG07Wlvew7Np28THxqBgvHD66nlCknK2PRiWVlzBuvNhXKWPB9dl2+WV5PfzqtdvX0qWsc8r9boZ7uRfdWzeSO234xiM3n/EjJzMHR0pQvRvWlTVML2f6V+89ywL+sjA3tydBOrWX7Tty8x2H/O/Vfxh48YfPpq2V5KJu1M8bg5eok23/6Zhi7LgUREhVPRk4e+xa8S0vrJjWEKHUiKJT/+vgS+zSdpqZGzB3Rhx7O5ffHnPxCfjh4lrPB90jPycPSSJ9JvdwY51le767ce5ID14LRVFPlo+F9GOrmIhf+Yb9g1s8aX0cpUbXAJwlsvnpH+lsjO4+1Y/vg5dS0ymOXHLnC7qD7fN6/M5O7tK7yGIB152+w/sItuW12RnocnT1S9ndBcTHfnfTnWMhjaR3U3JJFg7pirK0BQHpeAQsOXsTvcTxNjXRZNqw7rczLy/XXR69iZaDDtK4uCEJDeK1nzISEhGBnZ1fv35NbWIRjEyMWDan65m9rpM8XQ7pxcPYotr4zDEsDbab/cZTUnLxqw1x08CJXH8ayclQvDs4eRdfmlry95SiJmTmA9Ib8n+2niE7NZN2Efux7byTm+tq8/ftRcguLAPC994Qjtx+yccog5vXvzJcHL5KWkw9AVn4ha84EsHCIRx2nRmW5hUU4WpiwaETlB/38wmJCY5OZ6dWZvR9NYO2UITxOSuX93w/XGObuOeO58OV02Wfju94A9K/wg+yZPy/drLKF8pcz/uQUFLLvowm42VuxeM8Z2b7gJ/Hcjkpgsme7l73cl5ZbVIKjqT6L+lbfCOJh14QLs4bJPt8Pda8xzIz8Qib+dZZGykr8MtoTn7cG8GkvV3TVVWXHfHfuFpceJ7BySBeOvD2QyR1a8M2ZG5x7EAuA78NYjoRFsXF0D+b1aMuXJwNJyy0AIKugkDWXbrOwb/s6SIEXyy0oy0OjKv/Izy8sJjQmkZn93Nk7bzJr3xrO46Q03t+4/5XDrG24u6/eJiQ6ke0fTmS0exs+3XoUiUQCQMzTdPZeu82Hg+u/8Sa3sAhHS1MWjepb5f68wiLaN7Nk3rCaG7QqWnv0EruvBrNgZB985r/N2G6ufLDpIKExibJjFu08wdX7kaycNJiDn02jq5Mtb6/fRWK6tOHwfmwS645dZtWUoXw/eShrj10mPC4ZgOKSUr7afYrFY/rVa8MEQG5hMY6mBi8oY+ZceH+47PP9sBf/mGturCd3zraJ8ul/KzaFd3efp6udOTvf7M/uyf2Z0L4FymX10e7gR4QkpLJ9Uj9Gt7XnU5+r5fknPZu9wY/40LPt37jy2sstKMtDY/pVuT+vsJD2zayZ90btp0oWFpfwzk87iH2awY9ve3Ns4bssHT8IM73yt2oFPoxifPcO7Jg3mY3vj6O4pJR3ftpJbkEhAL53HnAkMJSN749j3hu9+HLHcdKypW/hysrLZ43PBRaOrjrOdSm3oBBHqyYsmlD1j9hNJy6z7awfiycNZeeCd9FQVeXdH/+koKioxnCbW5hyYdUnss+2T9+W2//trhP43r7PDzPG8ucnb5GUnsmc9Ttk+385epGc/EL2LZyJm6Mdi/88JNsX/Cia249jmOxV8/2iLuQWFknTp5of+ZtOXmbbOT8WTxzKzs+no6HWmHfXbq0xfTaeuMzOC4EsHD+YI0tmM9e7L5tOXmGbr1+tw919KZCQqHi2f/YOo7t34NNN+8rLWEoaey/f4MPhfeowJaonrafNWDS6mnq6oIj2zayYN6z2ZWztkYvsvnqLBaP64rNgOmO7teODTfsJjU6QHXP8RhgrD5xj1gAP9n4yDSdLU95dv4unWdLnSd87DzgSFMrGWWOlZWznc2XsSAOWMUszFo0bVOX+vMIi2ttbM+8l/r1uPormk8378O7ajn0L3qVPW0f+8/MuHsQmyY75bt8pLoU+ZOW0ERxZPIvJvTvzza7jnAu+D4Dv7fscCbjLxg8mMW+EF19u85FPn8PnWFhNnOtSbmERjmaGLBpUc3k+ExZJcEwypjqatQq3uYk+F+aNk322vSVfhr894Y9veDQ/jO7Fn1MHkZSVy5zdZ2X7f7l4i5yCIvbNeAO3puYs9rks2xcck8Tt2OQaG0j+rZSUGubzb/Raj5xoKJ4tbPBsUf3ojCFtm8v9/dkAd/YF3ed+Qiru9paVjs8vKuZ06GPWTehPR1tpD8js3h05fz+Knf6hzPHqxJOnGQRHJ3Fo9igczKQ94YuHdsfzu60cu/2IUR2diEhOw83WHGdLE5wtTfj22DVi0jIx0FJn1cnrjHNriYV+9T3LdcWzpR2eLatuJNLRUGPTDG+5bQtH9GLs2p3EpWViYaBb5XmG2vKV7kbfAKyN9OhkbyW3PSw2iS0XbrB7znh6LP1Nbl9EUioDXR2xNTFgdBcX9ly/A0h7IpbsO8vXo/uiolz/7W+ezczxbGZe4zGqKiqYlLVS18YmvzCa6GqyfFBn2Tar5/6tb8alMNzZFjcb6WiRMa727A5+xJ2EVHo7WBLxNBM3axOczQ1xNjfk23M3icnIxkBTjVXngxnn2hwLXa2XuNJX59mqGZ7P9QQ9o6OhxqZZY+S2LRzVh7Grt9WYh2oKs7bhRiQ+pbezPQ7mxlgb6bHq8AXScvIw1NZk6Z7TzBvqiba62kte7ct70bUMK+sFi32aUeswDweEMKOfOz1aS3sZx3m049r9J2w5F8B3k4eQX1jE6eBw1r3jTcfm1gDMHujB+buP2HnlFnMGdyciKZUWFiZ0aSHt3WlhYUJE4lNaWJiw+Zw/He2t5UZZ1BdPews87S1qPEa1kfJLlTEAFWWlGs/59uwNJnVowfQurWTb7IzK82PE0wx6N7fEwUQPa30tVp2/RVpeAYaa6iw9FcC8nm3RVmv8UnF6VZ6t7fFsbV/t/mFlPYWxT9NrHeb+68Fk5Obz19zJNFZRAcDSSF/umF9njZP7e/mkIXgsWENodAIdm9sQkfgUNwcbnG3McbYx59v9Z4h5mo6BtiarDvkyzqM9FoZ61DdPlxZ4ulT99i+JRMKfZ68xY7AnfcpGC3z7ljfd533H2Zv3GORWfY+hirIyJhUaayrKys1n3+UbfD99FF3KRix9M3UEQ778L8GPomlrb01EfDIDO7lg28SY0Z4d2XMxEICi4hKWbPPh6ylvNMx9zNkBT+fKnQPwLH2uM2OQJ33KesK/neZN94+/5+ytewzqVHX63IqIprerIz3K0t3S2IBjAXe48zi21uFGJKTQu40jDhamWBsbsGrfKdKyczHU0WLpX0eY590XbQ31uk6OKnm2ssezVU1lTDoi6GXKWKV6unt7roVHssU3gO8mDwVgi68/o7u2xbtLGwAWjxnAhZBH7L9+m+l93aspYxllZew84zzaNUwZqyEPAQzrLI3/y6TPVl8/PFo15+1+XQH4YFgvroZF8NeFAJaUNTTefBTN8C5tcWthC8CY7h3YfekGdyJj6d3WkYiEFNwcbHFuaoFzUwu+3XOSmJQ0afrsP8M4z44Nkz4O1ng6WNd4TGJmDt8cv86vk/rz3vbTtQpXRVkZE+2qGzKy8gvZdzOc70f2oIud9B76zRvdGfLTfoJjkmhrZUpESgYDnZtha6TH6A6O7LkhbdQpKillyZGrfD3Mo0HqIEF4RqG5rX379jV+xo0b9+JAGlhhcQm7A8PQUVfFqUnVwxlLSkspKZWg2khFbrt6IxVuPEkoC6cUALXG5e1DyspKqKqocCNKeoxjEyPuxqWQkVdASGwy+cXF2BjpEfQkgbD4p0zq4szrKCu/ECUl0NWo3Y+6wuISfILu4e3WWm6ERF5hEZ/8dYKFI3phUsWPaEcLY/weRlNcUsqV+5G0sDAGYJNvEG72Vjhbv3jIckMJiE7CY91BBv12jK9OBZKeV1Dj8ecexuFsZsiHh67gse4g3ltOsif4kdwx7SyM8X0YS2JWLhKJBL8niUSmZtHNVnrdjqb63E1IIyO/kJCEVOnUEAMdgmKSCUtMY1KH6h8iFC0rr+Cl8tCrhutoYcKNiFjyC4u4fC8SE10tDLQ08AkMRbVRI7khu/80hcUlqDWSb39Wa9yIG49jgIr1lPwx6o0bcSNCekwLcxMik9OIS80kNjWDJ0mpOJibEJWSxgG/O8wZXP8jt2orICoJj//uZ9BvR/jqZMALyxhAVFoWPX46SL+fD/OJz1Xiyka2ATzNyed2/FMMtdSZsPU03f+7n8nbzxAUkyw7xtHUgBsxyeQXFXP5cQIm2hoYaKjhExKJaiMVvFrU/CD6uvO984C2tpYs232K7gvWMGz5b/xy8iolpaXVnpOVLx3dp6cpbfRxtDTlblQ8Gbl5hETFk19UjI2JAUGPogmLTmBSz/qf8vIiMSlppGRk415huoCOpjptmllyKyK6xnOjkp7S4+Pv6Tf/Bz75bS9xFX54hTyJo7ikBPcKU6mamZtgbqgnC9fRugl+9yIoLinhSsgDWpRNA9h08jJujrY421buAGloMSlppGRmy12HjoY6bexqTh/XZtZcv/eYyMQUAO5FJ3DjYRTdy37A1iZcRyszbjyMktbRoQ8x0dPBQFsTH7/bqDZuJDc155+osLhY7jkQQK1xY26UXX9hcQmh0Ql0qTDdUFlZCXdHW26VNfKUl7F8QqISyC+sUMZiEpjUQ/Fl7FXdiojB3Um+c6xbK3uCy+5RAO3srfG9HU5ieqb0Wej+YyKTntKtrCHJ0cqMu1FxZOTkEfIkjvyiImxMDAl6GCWtg3q58ToolUj4/MBF3urqgoOpQa3Pi0rNpMf/7aDfmt18sv88cRnZsn0h8SkUl5bi3qy8cb+ZsT7melrcipaOPnE0M8TvcRzFpaVceRRLCzPpd2+6chs32yY4lz1bC/KUlJQa5PNvpNCRE6GhoYwbN67aqRvx8fGEh4c3cKyqdv7+E+btPkt+UTEm2ppsnDIIA62qW+u11FRxtTbj5/M3sDfRx0hbg6O3H3ErOgkbQ2mvm52JPuZ62vxwyp8lb3RHo3Ej/rx6h4TMHJKzpMPNPBysGdq2OWN+PoB6IxVWePdEo3Ejlh6+xHLvnuz0D+Wv6yEYaKmzZFh32QgMRSooKmb10csMcnWsdY/z2buPyMovYETHVnLbvz18gXa25vRxrrqnYnqvTizdf47+K37H0lCXr0f3JTI5jUOBoez4z1iW7D3L1fAntLYyY+loL3Tq+IdubXnYmePlYIWVvhZR6dn8ePEOM/ZcZPukPtW2RsekZ7Pz1kOmdHLk3S6tuBufyvKzN2msosxwZ2l5+cKrPYtPBtJrgw+NlKWV2NL+HelYthaKh505Q1s1Zcyfp6X5Z1BnNBqrsPRUEMsHubHz1iP+CnqAgaYqS/p3wsG4/nsOaqOgqJjVPhcZ1L5lnY5aqCpc7y4uhMcnM/Tb3zHQ0mD11GFk5Oaz7vhltswex5qjlzh28x42RvosGz8AM/2qe0hfRx5Odmw5H0AHeytsjA24Hv6EM7fDKSmVDonWUlfD1daCn09dxb6JIUY6WhwNCuNWZBw2JvoA2Dcx4sPB3Xlnwy4APhziiX0TI976aRfzhvXk8r1Ifjp+hUYqyizw7iMbgdHg12pnjlcLK6z0tYlKy+bHi8HM2HOe7ZOqHz3VxtyIbwZ1wc5Qh+TsfNZfucubf53h8FuD0FJrTEy69AHvp8t3+KRXO5zM9Dl8N5K3dp7j0FuDsDXUwdulGeFJ6QzddAwDDTVWv9GNjPxC1l2+w5bxvVlz8TbHwp5go6/NskGdMavlMN3XRUxKOn6pTxjSsTU/zxxDVHIaS3efpLikhPcHVZ7uVFoq4dt9Z2jfzAoHCxMAPFo2Y2gnZ8Z8vwX1xo1ZMWkIGqqqLN11kuWTBrPz0g3+uhiEgZYGS8YPxMHcpKEvk5Syh/ln60A8Y6SjLdtXlTZ2VnwzbQR2TYxJTs9i/ZHzvPndJg5/NRstdTVSMrNp3EgFXU350TnGuuXhTh/QnaV/+dB/wY9YGuvz9ZThRCY+5dDVW+yYP50lWw9zNfQRrZtasHTyG+hoNswogYpSMqtJH92a02f6AA9y8gsYvHgdKkpKlEgkzHmjN0PLetBrE653t/aExyQydMk6DLQ1Wf3uaDJy81h3+Bxb5k1jzcGzHAu8i42JAcsmD8esmpF2ryuPls3Y4htAB3vrsno6kjPB92X1dHpOLiWlEox15DtojHS0iEh8KgtjaMfWjFn1rIwNRkO1MUt3n2L5xMHsvHyzvIyNG6CQMvaqUjKzMXoufxjrasnyDsAXYwaw+K8j9Jr/I42UlVFSVmLpxCF0dJCO+PNo1Zyhbi6MWblRmj5ThqOhpsrSHcdYPnkYOy8G8pdvAAbaGiyZOAQHi+rXk6tPGy/fRkVZiUmdW7344DJtLE345o3u2BnrkZyVy/oLt3jz96Mcfs8bLbXGpGTn0VhFGd3nnqWMtTRIyZZOTZ/u0YalR6/Sf+0eLPV1+HqYB5FPMzgU/JAdbw9hyZErXH0US2sLY5YO9UCnwvRiQagPCm2ccHZ2pnPnzrz33ntV7r916xa//fZblfueKSgooKBAvoesuLi4zuL4jJudBftnjSQ9N589gfeYu+ssO2cMx6iaIcHfjurFwgMX6Pn9X6goK9HK3JhBLvaExkl7EBqrKLN2fF8WHryI+/I/UFFWwr2ZJd0drJFUCGd2747M7l3e6v3TuSDc7S1ppKLMzxducmj2KM7fj2L+/vPsfc8bRSoqKWHu1mNIkLB4ZO8Xn1Bmv/9dujvayi1+eC7kEX4PY9j30YRqz9PRUOP7iQPltk3bsJePh3TH58Y9YlIzOPrZFBbvOcP60358Nszz5S+qDgxqWT5lqIWJPo4m+vT/9Sj+0cm4N616dEepBJybGPCRp/QhrpWZAQ9SMth165GscWLbjQcExz3lJ28PLHS1CIxJ5uvTNzDR1pAtyjfbw5nZHuUjbH66chf3pmY0Ulbm52uhHJrWn/OP4ph/1I+9U+p/TuqLFJWUMHfLYWkeqmZeb12G21hFpdI6Dwu2H2eSZwfCYpM4e+chBz6ZwqZz/izff5Y1bw2vszjVt/kj+/DlzhMMWb4JJSWwNtZnRGcX9vvdkR3z7ZuDWbj9OD2/3CCtp6zMGNS+JaEx5fOdx3m0Y5xH+dotB/3vShtgbS0YvHwju+a+SWJGFvP+OMzpxTMqjcRoCINalS8q1sJEH0dTffr/4oN/VBLutlUvuFZxmoijKbSxMMJrw2FO3ItiZFt7SsvmtY9xbY53G2nPbiszQ64/SWD/nUfM7eFKYxVlFvWT75VccPQ6kzq0ICwxjbMPYjgwbSCb/MJYfiaINSPqf/2SulQqkWCoo8VX4weioqxMaxtzEjOy2Xz2epWNE1/vOcmD+BS2fThJbvvsQd2ZXeH4n45dwt3RlkYqKvx88iqH5r/D+ZCHzN96hL2fTqv366orFaeJOFo1oU0zK7w+X82JgLuM7F67hZh1NNX5frr8QoXTVv3Ox6P74eN3m5iUNI5+/QGL/zzE+iPn+WxM/S6AXZdOBIVwxP823789kuYWptyLTmDF7uOY6usy3N21VmE0VlFh0QT5RWoXbDnApN6dCYuO52zwPQ4seo9NJy+zfNcx1sx8/Ubc1mS+txdf7jzOkG9+K6unDRjRuQ37/W6/VDiVytjxy7g7NpU+K568yqHP3/5HlrHa2Hben+DHsfz03lgsDPUJfPiEr3cex0RPh65lo3JmD+nJ7CE9Zef8dOQC7k520jro+CUOLZzJ+TsPmL/lEHsXTG/wawiJS2GrXyj7ZrzxUr3lFaeJOJoZ0sbKBK8fd3Mi5DEj29du5KeOuirfj+wpt23aH8f5uG8nfO48IiYti6OzR7HY5zLrL9zks/6dqw7oX+ZfOqihQSh0Wke3bt24f/9+tft1dHTw9Kz5B+WKFSvQ09OT+1y6dKmuo4qmamOaGunR1tqMZSN6oKKsxL6ge9Ueb2Ooy59vDyVw0TTOfTyRXTNHUFxaipVhec9ra0sTDrw/Er8vpnLh00n8OmUQ6Xn5WBtU3TsbkZyOT/AD/tOnE/6P4+nY1BxDLQ0GODcjNC6FnLIFyBThWcNEXFomm971rnWPd2xqJtceRDOys/wUFb+H0UQ/TafLog24fLoGl0/XAPDhH0eZsn5PlWHt9w9BR0ONPs72BDyKoU9rexqrqNC/TQsCHsVUeY4iWOtrY6ChRlQVbyt5xkRbHXsj+R4geyNd4jOlo2ryi4r58eIdPuvtSq/mljia6jOxvQMDnazZElB1mYp4molPyBP+090Z/+gkOlqZYKipzgBHG0IT08gpqHnht/r2rAEhLi2TTe+NqbNREy8Trt+DKB4lpDChezsCHkTh2coOTTVVBrg64f+w5uHdrxtDbU3WveNN0PcfcWbxTI4ueAdNtcZYVXgbkI2xAX9+MIHA7z7k3JL32DVvMsWlJVg9t67AM2nZuaw/cYUvRnlx+0kctiYG2Joa0tmhKcUlpUQmpTXQ1dVMVsbSq+/VfZ6uuiq2hjo8KVsM9NlaFPbG8uWwmZGerBw+z+9JIo+eZjChvQMBUUl4NjNHU7URA5xs8I9KqvKc15mJnja2JoZyo0+amRmRkplDYXGJ3LHLdp/kwt2HbPnPBJrU0HsdkfAUn8AQ/jPEE/8HT+jY3BpDHU0GtHMiNDqBnPwXT8epa8ZlDeMVe2MBnmZly/bVhq6mBramRjxJTpWGq6tNUXEJmbnyi2enZFYf7v4rN9DRVKePa0sC7j+mj2tLGjdSoX/H1gTcf1zlOfXt2ciGSulTw3UArNp3inf6ezCokwstLM0Y1qUtU/q489vxS68crt/9xzyKT2ZCr84E3I/E09lBWkd3dMY/PPJVL1FhDHU0WTd9JEGr5nFmySyOfjG9rJ7WB0BfSxMVZSVSsnLkznualVNpNMUzEYllZWywJ/4Po+hoX6GMxSQqpIy9KmNdbZ4+lz9SMnNkeSe/sIgfD53js1F96dXGEUcrMyb2dGNgh9ZsOXOtyjAjElLw8b/Df4b2wj88ko7Nm2Koo8WADq0IjY5XSPoERSWSmpNHnx924bL0d1yW/k5cRjbfnfLH68fdtQ5HV10NWyM9nqRmAmCsrUFRSSmZz11TSk6e7G0dz9t/MxwddVX6ODUlIDKBPk5NaayiTP9WdgQ8SajyHEGoSwptnFizZg0//vhjtfvt7e3x9fWtMYz58+eTkZEh9+nevf57pyQSCYUlJS88TlO1MSY6mmTkFXDlYQy9nWwrHaOjroqhlgaRTzMIiU2hd8vKx0gkEpYcvsRnA93RUmtMqaSU4rJ5v8Ul0v8+GwbY0J41TDxJTmfTDG/0tWq/KN2BgBAMtTXo8dyCm+/06sTBuZPY/9FE2Qfgs2GefDO2cg9/anYuG0778UXZG0VKJBJZ+hSVllAiqX6OdENLyMolPa8AkxrSqb2lMY+fa7yITM3CQlc6LLy4VHp9z7ewKysryXp8K5JIJCw5GchnvV3RUm1MaWl5+jz7b0kV5zWUZw0IT5LT2TRrzEvloboKt6ComK/3nmHxmH6oKCtL81DJszJWQqmCytffpda4EWb6OhSXlnIqOJzeVSxYpqmmiomeNhm5+Vy5F0lvl+ZVhATfHjjH5J4daaKvQ2mphKKS8nIlXcPi9ShnCZnPyljth8DnFBYRlZ4tK5eWelqYamsQ+fT5cphZ5UKyBcUlfH06kMX9O5Xnn7I8U1xaWmW5fN21s7MiKiVNLu8/SU7FRFdbtqaSRCJh2e6TnLkdzub/TMDKWL/a8CQSCUt2HeezEX3QUlOV1kMlir+PWRkbYKynzfV7EbJt2Xn53I6IxbVZ7acq5eQXEJWcJlsgs3VTCxqpqHA9rDzcxwkpxKdmVBlualYOG3zO80XZGzNKSiUUlz1nFJWUKuweb2VsgLFuFenzuOb0ySssQlm5+nvUy4ZbUFTE1zuOsnji0LIyVipLn39yHQ3P19P36e0iradVG6nQyroJ1ys0vJSWSrh+/wmudpXXI5FIJCzZeYLPhvcuK2OlFJc+SyPFPiu+CtdmVlx/rlHu2r0I2jaTLp5eXFJKcclLPgttP8Jno/qipa5KqURSIQ8pLn2GtbHn4Hsj2D9zuOxjqqPJW12d+W1S/1qHk1NYRFRqJiY60vtYa3NjGikrcz0iXnbM45QM4jNycLWuPH0lNSePDRdv8cXALgByz0FFpYqrg15HykpKDfL5N/rHv61DTU0NNTX5ntBGLzmsOKegiKjU8lXwY9MzCYtPQU9DHX1NNX65cJPeTk0x1tEkPSef7f4hJGbl0r91+SJO034/gldLWyaWLVJ5+UE0EsDOWI+op5l8f9IPO2N9RrR3lJ1z4m4EhlrqmOtpE56YyopjV+nTsindmsu/sQJgb9A9DDXV6VX2TuR2Nk346VwQwdGJXAyPxt7EoM4XDyxPn0KiUtLL0yc1k7DYJPQ01THR1eLDP48SFpPE+rffoKRUQnLZonJ6muqyB9hpP+/Dy9meiR6usnBKSyUcCAhleMdWlV5FaKKrVeUimOYGOnI9v8+sOHSBqT3aY1bW29Le1oLDQWF0bdGUPdfv0t625pX+/46cwiKi0spb9mPTcwhLTENPQxU9dVXWXwmhn6MVxloaRKVn83/ng7Ex0MbDrny4+bSdvni1sGJie+kDyeSOLZj411l+uRbKACdr7sSnsuf2I5aUDSHXVmtMJ2sTVp2/hXojFSx0NQmITuZwyBM+6+VaKY57b0dgqKlGr+bSh5l2Vsb8dCWE4LgULkYkYG+kK/ea0jpPo4JCopLLe9VjUzMIi0lET0tDmod+P0xYTCLrp3tTUlpKcllPiZ6mRnke+mkXXm0cmNi9/QvDtDDQpaikpFbhPrPh1DU8W9nRqmxBunZ2lqw6fIERnZ3Zfvkm7ZrV38J0la7labr0WjQ1sDDUJT0nj/i0TJLK5mFHJj3rmdXCpKwH6fNtRzHV02buUOnrRoMj40jKyMbJ0pTEjCx+On4FiUTC233KF/+6HPYYCRLsTA2JSk7n+8PnsTM1ZETnyqvvX70XSWRyGismSn84OTc153FSKhdDI0hIz0RZWRk70/pZ96ZSGcvIfq6M3aVfC2uMtdWJSsvm/87fwsZABw+78jeJTNt5Di8HKyZ2kA51/e7cTXo1t8RCT5OkrDzWXb6DipISg8umiCgpKfGWmxPrLt/F0VQfJzMDDt15zOPULH4cXvnNKhuu3sWzmQWtytb+aWdpwqrzNxnhYsf2G+G0s6zfed7V5yF1LAz1KuQhaWNLZNl8dbk89KcPpvo6zB3WE5C+OWD7pSCW7zvNpB4deJKUxq+nrjKxwgJ7X+8+ydGgUNZNH4WWuqqsjOmoq6GuKv+mkr1XgzHU1qRX2Q+vds2s+On4ZYIfx3Ix9BH2TYzRrac1FXLyC4gqKzcAsSlphEXFS+sLI30m93Hnl6MXaGpqhJWxAWsPncVUX4c+7Zxk50z7v9/xateKib2lw5q/23OCXm0csTDSJyk9i3WHz6GirMTgsrd76GiqM9KjPSt3n0BPSwNtDXW+2XEUV3tr2tpX/vG9YudxpvbrJls3oX1zaw5fD6Zr6+bsuRhI++bVv1WsTtIn+bn0iS5LH0N9Jvfpwi/HLlZIn3PS9HGtkD6rt+DVriUTe0nTp1cbR345dglzQ32am5sQFp3AH2eu4d1VOk1MSUmpVuE+s+HoBTydHWhlIy3X7extWLXvFCO6tmO7rz/tqkjTulT7MlZDPb3VB1O98jImraezcLI0K6unL5fV0+VD56f2cmP+tiM4W5vj0tScP88HkldYyIiytTsq2nutqjJ2RVrGwiLquYwVyuehp+mERSeU5aGy9EnNqKIO0sak7Nnt8y0HpXVQ2etG3+zVmSmr/+D3M9fo4ezAscC73H0Sx1dlU320NdTo5NCUVfvPoK7aGAtDPQIePOGw320+G1m5I2vvlZsYamvRq430WbydvTU/HblAcEQMF0MeYm9uUn/pU9ZwIEuftCzCEp6ip6GGhZ42+s99byNlZYy1NbGrsB7YtD+P4+XUlIlu0nUpvjvlT68W1ljoa5OUlcu68zdRUVZmsLP0HqWjrsrIdi1YecoPPQ01tNUa883x67hamdLWqnLjxIqTfkx1d8as7Pm7vbUph28/pKu9JXuC7tO+igYNQahrr0XjhL+/P9euXSMhQTpcqEmTJri7u+Pm1jAr6IbEJTN18xHZ3yuPXwdgeLsWLB7qwePkdObcDCctNx99TXWcLU3Y+vZQuQUoo1MzScvNl/2dlV/Ij6f9ScjMQU9DjX6t7Zjj5UbjCj/Ck7Ny+e74NVJy8jDR1uQNVwdm9mxfKX4p2bn8cuEm26e/IdvWxsqUqd3aMHPrCYy0NFj+3HyxuhQSncjUn/fJ/l55+CIAwzu25P1+XfANkfZ6eK/+S+68LTNH4la2QF7003TScuSHtl57EEV8ehbebn/v/cmX70cSlZLOyvHlc3EndGvL3ehExq3diYuNGbP6dvlb31GTkIQ0pu4sH+Gz0vcWAMOdbfmybwfCkzM4FBJJZn4RptrqdLNtwn+6u8j9OI5OzyYtt3zYnYu5EWuHe/DDxdtsuBqClZ4Wn/dux9DWtrJjVg1154eLt/n0yHUy8gux0NVkTncXxrrKLyCakpPPL9dC2T7RS7atjbkRUzs5MnPvJYw01Vg+uH7nEIZEJTD1p12yv1celKbX8E6teX9AN3zvPgTA+/s/5M7b8v5Y3BykD+TRKemkZZfnoZrCXD5xEEnp2bUKF+BBfDInbt5j/ydTZNv6t3Uk4GE0b67dgZ2pId+9KT/vuS6FRCUwdd3Oytfi5szyiYPwvfuQL7Yfl+2f94cPALMGdGX2QOkbM+LTMuVa2QuLi1lz9BIxT9PRVFPFs1UzVr45WO7BKyu/gB99LpKQnoWeljr92rZgzmBP2Wsjn8kvLGLZvtP835Rhsp7QJvo6fDGyD19sP45qIxVWTBxU6cdoXQlJSGXqjnOyv1eeuwnAcGc7vuzXkfCkdA7dfVxWxjToZldFGUvLJq3CGzwSs3L52Ocq6XkFGGqo0d7KhB1v9sWwQvpM7uREQUkpK8/dJCO/AEcTAzaO7YXNc1PvHiSnc+JeFPunlq+B09/JmoDoRN786yx2Rjp8N7RrnadLRSFR8Uxdu13298oD0vfYD3dzYfmbQ/C984Av/joq2z9vyyEAZg30kM1Vfz4PmRvo8tussXy7/yzDV2zCTF+HST068U6F+nTnZem/xZS18vX/NxMHM6JL+Y+nlMwcfjl1le1z35Rta2NrwdTebsz8eTdGOlosn1SPZexJHFNX/S77e+XuEwAMd3dl+VvevD3Ag7zCQhZvPUxWbj7tHWz4dc6bqDUuz9PRyWmkZZcPr09My+Tj3/aSnpOLobYW7R1s2DH/XQwrDLf/fOwAlJWUmLNhF0XFxXRr3ZxFEytf5+W7D4hKfsrKt8vXjprQqzN3I+MYt/xXXOwsmTW0Z10miZyQJ3FMXb1F9vfKPSeBsvSZOoK3+3uQV1jE4m0+0vRpbsOvH0yST5+UNNKyy6c8fTFuEGsPnWPp9iOkZuVgqqfDmO4deW9ID9kxtQkX4EFsIieCQti/sHyNsv7tWxEQHsmb32/Grokx3709sq6TRU5IVDxT/7tD9vfKA9I6abibM8snDcH37gO++OuYbL+sjA3oVm0ZKywqZs2Ri8/V00Pk6umB7VuSmp3Lf49dIiUzBycrU355byzGz3XgyMrYRxXKWFMLpvbqxMxf9pSVscF1mCLyQqLimPrDn7K/V+49BcDwLm1ZPuUNfG/f54s/D8v2z9skfa6cNdhTth5EfGqGXPq0s7fmu7e8WXvYlx8PnaOpiSH/nTkWB8vyH8mr3h7JD4fO8unmA2Tk5mFhqMecYb0Y6ym/7ktKZja/HL/E9k/ekm1rY2vJVK8uzFy/Q5o+U96gvoTEpTD1j/L7+MpT/gAMb9uc5cNrtyZadGqW3G+NxMwcPt53Xnof01SnvY0ZO94egmGFUaKfD3BD+STM2X2WopJSutlbsmiwe6WwLz+MISo1k5UjysvnBLdW3I1LYdxGH1wsjZnVs12l8/6t/qWDGhqEkkSiuLGmSUlJjBw5kitXrmBjY4OZmbTHMjExkaioKLp168a+ffswNX25lrqvvvqKhS1rP0/032ZZmLRVf2F70QJalWU3pHPDF1q9eNrOv9GyGOkPvoVuin/F3etqmb/0FW8LO1ceBSXAMj/pGjALrcUQ0aosi5Y+9Sx0b/qCI/+9ll17AsDCXpV72AVY5itdE2thD8cXHPnvtOyCdG2mhV3qbzTKP92y61EALOxe9TS/f7tll6SdHwsdGv4NOv8Eyx7ks3jxYkVHo95EtWmYutXmdvVrM/6vUuiaE7NmzaKkpISwsDAiIyPx8/PDz8+PyMhIwsLCKC0t5f3331dkFAVBEARBEARBEARBqGcKndZx8uRJLl68iKNj5dYnR0dH1q5dS8+ePRs+YoIgCIIgCIIgCILwnJd55avwchQ6ckJNTY3MzMxq92dlZVVa7FIQBEEQBEEQBEEQhP8tCm2cGDt2LFOmTOHAgQNyjRSZmZkcOHCAadOmMX78eAXGUBAEQRAEQRAEQRCklJQa5vMqfvrpJ2xtbVFXV6dz5874+/tXe+z+/fvp2LEj+vr6aGlp4erqytatW18xVeqGQqd1rF69mtLSUsaNG0dxcTGqqtJXGRYWFtKoUSPefvttVq1apcgoCoIgCIIgCIIgCMJrbdeuXcydO5eff/6Zzp078+OPP9K/f3/u379f5QsmDA0N+eKLL3ByckJVVZUjR44wbdo0TE1N6d+/vwKuQMGNE2pqamzYsIGVK1cSFBQk9yrRDh06oKurq8joCYIgCIIgCIIgCILM67rkxOrVq5k+fTrTpk0D4Oeff+bo0aNs3ryZzz//vNLxz6/tOGfOHP744w8uX77872yceEZXV5devXopOhqCIAiCIAiCIAiCoHAFBQUUFBTIbVNTU6tyTcbCwkKCgoKYP3++bJuysjJeXl5cu3bthd8lkUg4d+4c9+/fZ+XKlX8/8q9IoWtOAOTl5XH58mVCQ0Mr7cvPz+fPP/9UQKwEQRAEQRAEQRAEQZ6SslKDfFasWIGenp7cZ8WKFVXGKSUlhZKSEszMzOS2m5mZyWYnVCUjIwNtbW1UVVUZPHgw//3vf+nbt2+dptfLUGjjRHh4OC1btsTT0xMXFxd69OhBXFycbH9GRoZsWIogCIIgCIIgCIIg/BvMnz+fjIwMuU/FkRF1QUdHh1u3bhEQEMA333zD3LlzOX/+fJ1+x8tQaOPEZ599hrOzM0lJSdy/fx8dHR08PDyIiopSZLQEQRAEQRAEQRAEoZKGeluHmpoaurq6cp+qpnQAGBsbo6KiQmJiotz2xMREmjRpUu21KCsr07x5c1xdXZk3bx6jRo2qdnRGQ1Bo48TVq1dZsWIFxsbGNG/eHB8fH/r370/37t2JiIhQZNQEQRAEQRAEQRAE4bWnqqpKhw4dOHv2rGxbaWkpZ8+exd3dvdbhlJaWVlrnoiEpdEHMvLw8GjUqj4KSkhIbNmxg9uzZ9OjRg+3btyswdoIgCIIgCIIgCIJQTvk1fV3H3LlzmTJlCh07dsTNzY0ff/yRnJwc2TIJkydPxtLSUjYyYsWKFXTs2BF7e3sKCgo4duwYW7duZcOGDQq7BoU2Tjg5OREYGEjLli3ltq9btw6AYcOGKSJagiAIgiAIgiAIgvCPMXbsWJKTk/nyyy9JSEjA1dWVEydOyBbJjIqKQlm5fOJETk4Os2bNIiYmBg0NDZycnNi2bRtjx45V1CUotnFixIgR7NixgzfffLPSvnXr1lFaWsrPP/+sgJgJgiAIgiAIgiAIgrzXdOAEALNnz2b27NlV7nt+octly5axbNmyBohV7Sl0zYn58+dz7NixavevX7+e0tLSBoyRIAiCIAiCIAiCIAgNTaEjJwRBEARBEARBEAThn0LpdR468Q+n0JETgiAIgiAIgiAIgiD886Wnp/+t80XjhCAIgiAIgiAIgiDUgpJSw3xedytXrmTXrl2yv8eMGYORkRGWlpYEBwe/UpiicUIQBEEQBEEQBEEQhFr7+eefsba2BuD06dOcPn2a48ePM3DgQD755JNXClNJIpFI6jKSr4OvvvpK0VEQBEEQBEEQBEH4V1q8eLGio1BvUrq0bpDvMb4e0iDf86o0NDQIDw/H2tqaOXPmkJ+fzy+//EJ4eDidO3cmLS3tpcMUIycEQRAEQRAEQRAEoRaUlJQa5PO6MzAwIDo6GoATJ07g5eUFgEQioaSk5JXC/J99W8fC7s0VHYXX1rJLDwFY2MNRwTF5PS27cB+AhS21FRyT19OysGwAFno6KDgmr69lFx8AIo2qI0uftkYKjsnraVnwU0Dkn5o8y0OLBnZQcExeT18fDwJgYYcmCo7J62lZUAIAC/s0TO/nP9Gys9Ie20V92yg4Jq+nr0/fBmBhCw0Fx+T1tCw8T9FREBqAt7c3EyZMwMHBgadPnzJw4EAAbt68SfPmr/Zb/H+2cUIQBEEQBEEQBEEQ6tI/YFBDg/jhhx+wtbUlOjqa7777Dm1tacdufHw8s2bNeqUwReOEIAiCIAiCIAiCIAi11rhxYz7++ONK2z/66KNXDlOsOSEIgiAIgiAIgiAItSDWnCi3detWPDw8sLCw4MmTJwD8+OOPHDp06JXCE40TgiAIgiAIgiAIgiDU2oYNG5g7dy4DBw4kPT1dtgimvr4+P/744yuFKRonBEEQBEEQBEEQBKEWlJQb5vO6++9//8tvv/3GF198gYqKimx7x44duXPnziuF+Q+4bEEQBEEQBEEQBEEQXhePHz+mXbt2lbarqamRk5PzSmGKxglBEARBEARBEARBqAWx5oSUnZ0dt27dqrT9xIkTtGzZ8pXCfG3e1hEVFUV8fDzKyso0a9YMIyMjRUdJEARBEARBEARBEITnzJ07l/fff5/8/HwkEgn+/v7s2LGDFStWsHHjxlcKU+GNE+vXr2flypXExMTIbXd3d2fNmjV06NBBQTETBEEQBEEQBEEQhAqUX/9RDQ3hnXfeQUNDg4ULF5Kbm8uECROwsLBgzZo1jBs37pXCVGjjxKpVq/jhhx+YP38+6urqrF69mvHjx9OpUye2b9+Op6cnFy5coGPHjoqMpiAIgiAIgiAIgiAIQHFxMdu3b6d///5MnDiR3NxcsrOzMTU1/VvhKrRx4qeffmLjxo0MHDgQAE9PT7p27UpCQgIDBgzAwMCABQsWcOrUKUVGUxAEQRAEQRAEQRDgH7AeRH1r1KgRM2fOJCwsDABNTU00NTX/drgKXRAzKSlJbrEMBwcHMjIySE5OBuCtt97i2rVrioqeIAiCIAiCIAiCIAjPcXNz4+bNm3UapkJHTrRo0YLTp08zffp0AHx9fVFVVaVJkyYAqKur/yNWKhUEQRAEQRAEQRD+94nfp1KzZs1i3rx5xMTE0KFDB7S0tOT2t2nT5qXDVGjjxPz585k0aRJnzpxBXV2d/fv388EHH8j+wc+fP4+zs7MioygIgiAIgiAIgiAIQgXPFr384IMPZNuUlJSQSCQoKSlRUlLy0mEqtHFizJgx6OjosG3bNnJycli9erVsFAXAqFGjGDVqlAJjKAiCIAiCIAiCIAhlxNs6AHj8+HGdh6nwV4kOHDhQtiDm84yMjBo4NoIgCIIgCIIgCIIg1KRp06Z1HqbCGydqUlxcTFxcHDY2NvX6PYEPnrD59FVCouJJzshm7YwxeLk6yfafvhnGrktBhETFk5GTx74F79LSukmNYT6IS2Kdz3lCouKJS83g81H9mNyni9wxOy8EsvNSILFP0wFobm7Ce4M88XR2kB2zcu9JDlwLRlNNlY+G92Gom4ts34mgUA77BbN+1vi/nwg1CAyPZPOpK2Xpk8Xa98bh5Vq+kKlEImGdjy97LgWRlZdPO3sbvpwwBFuz6huXSkpL+cnHFx+/26RkZmOqp8Pwrq7MHNQDJSUlikpKWHvwLBfvPiAmJQ1tDXXcWzZj7ggvTPV1ASgsKmbR1kOcC76Psa42iyYMpmtLe9l3bDp5mfjUDBaOH1x/iQMERsaz+XIwIXEpJGflsnZ8P7xa2VZ57JLDl9gdEMbnA92Z3NWlymOe2e4XwubLwaRk5+HYxJAvBnejjVX563kWH7rI9UexJGXloqnaGFcbM+b160wzE30A0nPzWbD/PH6P42hqqMeyET1oZWEsO/9rn8tYGeoyrdvLzwd7WYEPnrD51FVCouKkZWzm2Mpl7GJgeRn7YsYLyxjAiaAQ/nvYl9in6TQ1NWLuCC96uEjLT1FJCWsPnePi3YdleUgNd6dneUgHKMtD23w4F3xPmofGD6Zry2ay8DeduiLNQ+MG1XGKyHtR+kjL2Hn2XL5RVsas+XL84BrLWE5+AWsP+3Lm1j1Ss3Joad2E+WMG4GJrCfzD0icils0XbxASk0xyVg5rJw/Cq3V5WV932o/jweEkpGfTuJEKrSxNmNPfnbY2Neeh7Vdvs/niDVKycnE0N+aLNzxpU5bvYlMz6bvyjyrPWz1xAAPaOEjL2O7T+D2KpamxHstGedHK0kR23NcHz0vLmGf7OkiFmikiDz3zKD6Z1QfOEBD+hJLSUuzNTfhxxhgsDPUAWLnnJAeu3Sq/j3Uur3NOBIVw+Ppt1r9fv/exquTk5bNm3wnOBN4lNTOLlk0tWfDmcFyaVf3MEXQ/gv/bdZSI+CTyCwqxMDZgTC93pg7sITumz0fLiEtJq3Tu+D5d+XLqSAC+/esQBy8FoKGmytwxgxnarYPsuBN+wRy6HMiGeW/X8dXWLPBRDJvPBxISk0hyZg5rpw7Dy6U5UFZXHL/CxbDHxKRmoK2uhruDDXMHd8dUT7vGcBMzsvi/I5e4dC+S/MIibIz1+WZcf5ytm9Qq3MLiYhbtPs25u48w1tFk0cg+dG1R/jC8yTeA+LQsFnr3rr/EKRN4/zGbT14iJDJO+iz0/kS82reS7ZdIJKw7dJY9FwPIys2nXfOmfPnmMGzNjF85TJCWwx/2neTszTDSs3OxNDZgkpc743p2lh2zcucxDly5IS1jo/oxtIurbN+JgDscvnaT9R9MrrvEqKWcvALWHDjFmRshpGZm09LGggUThuLSzLrac3yu3WTT8Qs8SXyKtoY6ni4t+HjsIAy0y+eyZ+bm8eO+k5wOCiEjJxcLIwPmjx9Cj7ZOsjBW7zlBbkEBIzw68vn4IbJzY1NSeXvVZvYuno22hnr9XfxzAiPj2Xz1DiFxT0nOzmXt2D54tbSt8tglPlfYHXSPz/t3ZrJ79dPbdwaEsTMgjNj0bACam+rzXo92eDpI0zc2LYu+a3ZXee7q0b0Z0NqO9NwCFhy8gN/jeJoa6bLsje60Mq/wrHj0KlYGOkx7wTPrv45YcwKAP//8s8b9kye/fL2j0Ld1vEhISAh2dnb1/j25BYU4WpqxqJoH7LzCItrbWzNveJ9ah5lfWISVsQFzh/fBWLfqm7eZgQ4fDe/DnvnT2fP5dDo72jH75108iEsCwPf2fY4E3GXjB5OYN8KLL7f5kJadC0BWXj5rDp+r9x8FALmFRThaNWFRNT/yN528zLZzfiyeOJSdn09HQ60x767dSkFRUbVhbjxxmZ0XAlk4fjBHlsxmrndfNp28wjZfP0CafqHR8cwc3IO9X8xk7cyxPE5I4f2fdsjC2H1J+mN2+2fvMLp7Bz7dtA+JRAJATEoaey/f4MOX+Dd7VbmFRTg2MWLRkG41Hncm9DHB0UmY6rz4NTvH7zxi5fFrzOrVgb3veePUxIh3/zjG0+w82TGtLUz4xrsnRz4Yw29TBoFEwjt/HKWktBSAXy7cJKegiH3veeNmZ87iQxdl5wZHJ3I7JqnGm15dyi0oxNGqhjJWUEj75jbMG+FV6zBvPormk0378O7Wjn1fzKCPqyP/+XknD2Kl5Se/sIjQqARmDvJk74J3WTtjLI8Tn/L++gp56HIQIU/i2P7p24z26MCnm6vIQ280QB56QfpsOiUtG4snDGbnZ++goarKu//dRkFRcbVhLtrqw9WwCFZOG8HBRe/RtaU9b/+4lcS0TOAflj6FRTiaG7NoeI8q99sa6/PFGz04+NEEts4ciaWBLtM3HiK1Qnl53vHgcFYeucSsPm7s/WAcTubGvLvpME/L6tgm+tpcWPiW3Gd2385oqjamu6P0x9Ev5wKkZeyDsbg1s2LxvnOy8IOfJHA7KpHJHq51lxA1UEQeAohKTmXSqt+xMzNmy9wpHFg0k5mDPFFrJO37kN7H7rBxzpvM867iPnboHAvH1/99rCoLN+3m6t1wVs4cz6EVn9DNxZG3vv2FxNSMKo/XUFNlYt9ubP3ifY6u/IyZb/Rl7d4T7D5X/laxPV99yMX/LpZ9Nn02A4ABndsC4HsjhKPXbrLx0xl8PG4IizbtJi1L+sMiKzePH/ceY9EU73q+8spyC4twtDBhURU/8vMLiwmNSWJm3y7s/WgSa6cO5XFyGu9vPlRjmBm5+Uz87y4aqajwy/QR+Hw6lU+H9UC37AdhbcLdfe0OITGJbP9gHKO7tOHTv46V10FPM9h7/Q4fDqr53ltXcgsLcbQyZ9GkoVXu33T8EtvOXGPxm2+w84v3pM9Cq7fU+Cz0ojABvtt1jEt3H7DyndEcWfYhk/t25Zu/jnDulvT1fb63wjjiF8zGeVOZN7o/X245QFpWDgBZufmsOXCahROH/Y0rf3ULf9/H1ZAHrJw+hkNff0g3ZwfeWrWRxLSqy9iNB5F8/ttuRnbvhM+yj/hx1kRuP47hy9/3y44pLC7m7e83EZuSxpr3J3J8xTyWTvXGzEDacZWWlcOi3/fxydhBbJz3Nj7XbuJbllYAX/15iLmjBjRowwRAblExjmaGLBrsXuNxZ8IiCY6p3bOima4WH3l1Ys+MN9jz7ht0trNg9o4zPEiSNpA20dPiwrzxcp/ZPdtL72PNrQD45dIt6X1sxnDcbM1ZfPiKLPzg6CRuxyQzuUvrv3Hlwv+yOXPmyH1mzZrF1KlTeffdd/nwww9fKczXunGioXg6OzDnjd5yvUwVDevchlmDe+BeocfwRVxsLflkZF8GdXJGtZFKlcf0auNID2cHbE2NsDUz4sM3eqOppsrtx7EARCSk4OZgi3NTCwZ3ckZbXY2Ysh6ZVfvPMM6zo6xnqj55OjswZ3gfvNq1rLRPIpHw59nrzBjkSR9XJxytmvDtNG+S0rM4e+tetWHeioimt6sjPVxaYGlsQP8OrenWyp47Zdeuo6HOpg+nMLCjM3ZNjGnbzJqF4wcTEhVHXGo6IE2f3m0ccbAwZUJPN1KzcmQPvUv/OsI8774NcvPxbGHDHK9OeLWqviEtMTOHb45e5btRvWik8uJit+XqbUZ3dMK7vSPNTQ1YPLQ76o0bsf/GfdkxYzq1pKOtOZYGOrSyMOYDr04kZOTIWtAjktMZ6GKPrbE+ozu2JCI5HYCiklKWHL7M4mHdUVFumCpAVsaqyEMAw7q0lZYxp9qXsa3n/PBo3Zy3+3XD3tyED4b1ppWNOX+d9wee5aE3GdixdVkesmLhuIGy0UwAEfEp9G77LA91IjUrtzwPbT/KvBFeaGuo/c2rf7Ga0kdaxvyYMfBZGTPj22nDayxj+YVFnL4ZysfeXnR0aEpTU0NmD+2JjakhOy8GAv+w9HGyZU5/d7yc7avcP6SdI10dbLA20sOhiRGfDelOdkEh9xNSqg1zy6VbjHZrjXenVjQ3M2TxiF7SMhYQCoCKsjImOlpynzMhjxjQxgEtNVUAIpLSGNjWAVsTA0a7tSYiKRWQ9jQvOeDLYu+er0UZq688BLDm0Dk8nR34eGRfWtmYY2NiSO+2jhjpSns5I+JTcGvx7D7m8tx97HSD3ceqvL6AO3w8bgidnOxpambMbO/+2JgZs+Ps1SrPaWVrxWD39jhYNcHSxJBh3TrQrY0jgeHlc24NdbUx0deVfc7fCsXG1IhOTtK8+ygukU5O9jg3s2awe3u0NdSJSZbmm1U7jzCud1csjA3qPwGe49nSjjkDu+Hl4lBpn46GGptmjmKgqyN2poa0bWrBwhG9CYlJJK5CQ9XzNp0LoIm+DsvH9aeNjTlWRnp0c7TFxli/1uFGJKXSu5U9Dk2MmeDRltTsPNJypI2OS/edYd6Q7mir138dBODp4sgc7754ta/8Q00ikfDnmSvMGNKTPu1a4WjdhG/fHi0tYzfCqgjtxWE+c/NhFMO7tsPNqRmWxgaM6eGGo3UT7kTEABARn4ybox3OtlYM7twWbY0KZWzvCcb17IyFkf7fu/hXkF9YxOmgu3w8ZhCdHJtJy9jwvtiYGrPj3PUqz7n1MApLYwPe7NsNKxNDOrSwZWxPN+48jpYds/9SIBk5uaz7z2TaO9hiaWyIm1MznGwsAIhOTkVHQ51Bndvi0swaNyd7IuKlnRZHr9+isYoy/To2/GL7ng7WzOnTsdrRElD2rHjsGt+N7EmjWtw7ejna0KOFNbZGetga6/Fhn45oqjbidoz0eqX3MU25z5l7kQxobYeWWmOg7FnRuRm2xnqM7uBEREo6UPaseOQKi4d0bbD7mPDPk5aWJvfJzs7m/v37eHh4sGPHjhcHUAWF5rb27dvX+Hm2Aui/QUlpKccC7pJXWETbZtLWTEcrM+5GxZGRk0fIkzjyi4qwMTEk6GEUYdEJTOrlpuBYS3tPUzKz5RpudDTUaWNnya2I6GrPc21mzfV7j4lMlP54uBedwI2HUXR3rvxg9ExWXj5KSkqyXhdHKzNuPIwiv7CIy6EPMdHTwUBbEx+/26g2blTtD+GGVloq4fO9vrzl0QYHM8MXHl9YXEJoXApdyvIBgLKyEu72ltyKTqzynNzCIg7cuI+VgQ5Nyn4UODYxwi8ijuKSUq48jKFFE+l3b7p0Czc7c5wrDD//J7oVEV2pMaNbK3uCyx7YqpKVV4CSEtXkoUeY6Gm/dnkoJiW9mjJmVW0ZKyktpaRUgmpj+Zl76o0bceNhVLXf9U9Mn+cVFpew2+8uOuqqOJlXPZy6sLiE0NgkujiUDy1WVlbCvbk1t6ISqjwnJCaJe3EpjOxUPuTa0dwYv4cx0jIWHkWLsu/bdOEGbs0scbYyq8Mre3X1lYdKSyVcuPMAW1NDpq/dhscn3zP2242cqdDg4Whlxt0n1dzHohKY1LszilBSUkJJaSlqz1+faiNuhNduga/QyBhuPYikUzWNqoXFxfhcCcK7h5vsLWRONhaEPI4mIyeXkMfR0qkOZsYE3Y8gNDKWN/t3/3sX1kCy8p/VFdU3DJwLfYSztRkf/uGDx+INeP/fVvZcv/1S4TpamHDjcSz5RUVcvvcEE10tDLQ08AkKQ7VRoyobUxQhJiWNlIxs3FuVN6DqaKrTppkVtx5VX+fWRrvmNvjeukdiWgYSiQS/exFEJqTQrbV02o2jtTl3n8RKy1hkLPmFxdiYGhH0IJKwJ3FM8qq5p76+lJSUVl/GHkRWeY5rcxsSUjO4EHwPiURCSkYWJwPv4tmmvPPw3M0wXO1t+HrbITzmLGPowh/45YivbNRoUzMj8gqLCH0SS3p2LncjY3C0MicjJ5e1B06zcNIb9XbNf93TxL4AAQAASURBVEdpqYTP91/grW4uOJi+fANlSWkpx+48Iq+omLYVpgBXFBKXwr2EVEa2ayHb5tjEEL/H8eXPimbS79505TZutv/8Z8X6oqSs1CCffyIHBwe+/fZb5syZ80rnK3TNidDQUMaNG1ft1I34+HjCw8MbOFYNKzw2kfHfb6awqBhNNVXWzhhDc3NpReDRqjlD3VwYs3Ij6o0bs2LKcDTUVFm64xjLJw9j58VA/vINwEBbgyUTh+BgUXVlVJ9SMqW99M9PXTHS1SYlI7va86YP8CAnv4DBi9ehoqREiUTCnDd6y81FrqigqIjV+08zqJOzbDSEd7f2hMckMnTJOgy0NVn97mgycvNYd/gcW+ZNY83BsxwLvIuNiQHLJg+XDflraBsv3UJFWYlJXWrXUp+em09JqQRjbQ257UbaGrIW7Wd2+IWw6pQfeYXF2BnrsXHqYNlInemeriw9fIn+P+zE0kCHr4f3IPJpBoduPWDHu2+w5PAlrj6MobWFCUuHe6Kjrlon19tQUjKzZb2zzxjraMvy5PMKiopZfeAMgzq6yHr7vbu1Izw2kaFfrZfmoemjycjNZ53PebbMncKaQ+fK8pAhy94cppA8VF7G5K/VSEeLlMycKs/RUlfDtZkVPx+9iH0TE4x0tTgacJdbETHYmFbdQPZPTZ9nzoc9Zt72k+QXFWGio8XGd4ZjoKVR5bHpuXllZUx+2KyRjiYRyZXXCwDYFxBKM1MD2tmay7ZN79mBpQfP0/+7P6VlbFQfIlPSORR0jx2zRrFkvy9XH0TR2tKUpSN7o9MAo0yqUl956GlWDrkFhWw8eYUPhvVi7ggvLoc8ZM4vu9jy0RQ6tbDFo3Vzhrq1Ycy3v8nfx7YfZfmUN9h5IZC/zvtjoKXJkkkNdx/T0lDHtXlTNhw8g72FGUZ6Ohy9dpNbD55gU8MaAQA9P1hKalY2JSWlvO/dn9E9u1R53Nmgu2Tl5jOieyfZNo82Tgzt1oExX/6ImmpjVswYj4aaKl9t2ceKd8ex8+xVtp26jIGOFl+9NRoHqxevvdPQCoqKWX30EoNcnWoctRDzNIOdV4OZ0qMD7/bpzN3oBJYf8KWxigrDO1UeKVBVuN5urQmPS2bod39goKXB6jeHkJGXz7qTV9ny3hjWHL/CsZv3sDHSZ9m4fpjp6dTbddckJSMLqOZZqJp7Um19MWEoi/88SK+Pv6ORijJKSkosnTKCjo7SZ2cPZweGdnFlzLL10jL29kg01BqzdOthlr81kp2+fvx19joGOposmTwcB8uGaTTV0lDD1d6GDYfPYm9uipGeNkevB3PrYRQ21ax1097Blu9mjGXuz9spLCqmuKSUXq4tWVShQSEmORW/sDSGuLvyy0dTeZL4lKVbD1FcXML7w73Q09JkxTuj+fy33RQUFfNG13Z4uLTgi817mdDHnZiUVN5f+wdFJaXMfsOL/p1ej7UUNl65LX1W7PxyUyjCE1MZv9GHwuISNFUbs3asF82radzYd+M+zYz1aWdTngeme7Rl6ZEr9F+7G0t9Hb4e1r38WfGdoSzxucLVR7G0tjBm6TCPf9yzoqAYjRo1Ii4u7tXOreO4vBRnZ2c6d+7Me++9V+X+W7du8dtvv9UYRkFBAQUFBXLbiourn0P7urE1M2b/ghlk5+Vz8mYYC/44xB9zp8gaKGYP6cnsIT1lx/905ALuTnY0UlHh5+OXOLRwJufvPGD+lkPsXTC9mm95/ZwICuGI/22+f3skzS1MuRedwIrdxzHV12W4u6vcsUUlJcz9dQ8SCSyeUL6oUWMVFRZV+BtgwZYDTOrdmbDoeM4G3+PAovfYdPIyy3cdY83Mhh+JExKbzNbrd9n3nres56wuDWnrgHtzK1Kycvn9cjBzd53hr3eGoda4ETrqqnw/Rn49gGmbj/Bx/874BD8kJjWTo3PGsvjQRdb7BvHZQMX0rjSEopIS5v62B4lEwuIJ5WunNFZRqbSWyoI/DjGplxth0QnSPLRwJptOXWH57hOsmTGmoaP+yr6dNoKFfx6m5+erUVFWopW1OYM6ORMaFV/p2P+F9HGzt2L/nHGk5+Szxz+EuX+dYOfs0Rhpv3je7ovkFxVz9NZ9ZvbpJLddR0ON78f3l9s27dcDfDyoGz63wolJzeDox5NYvO8c68/689mQf0av+DMvykPP5v73buvIlLLe2ZbWTbgVEc2ui0F0amELwOyhPZk9tKcs3J+OnK9wH7vIoUXvcf5OOPO3HGTvgncb7PpWzpzAF7/toscHS1FRVqaVrSWD3dsREln96CuAbQvfJ7egkFsPn7B691Gamhkx2L3yoqf7LvjRvY0Tpgby01Zme/dntnd5vvlp/0ncW7eQpsehMxxa/jHnb4Xy+S872Pf1R3VzsXWkqKSEuX8ekd6PR9W83kypRIKzlRkfDfIAoJWVKQ8SUth17Xalxonqwm2sosKikfLfs2DnSSZ5tCMsNomzdx9yYN5kNvkGsPyAL2umKmZthfq07ew1gh9F89N/JmFhZEBg+GO+3nYYE30duraSjp6Y/UYfZldY/+enQ2dxb2UvzVNHznNo6QecD77H/E172fvl+w0W95XvjuWLzXvpMXe5tIw1tWBw57aEPImt8viHsYks3+7DrGF98HBuQXJ6Ft/vPsaSPw/wzVujAGm+MtLVYulUb1SUlWlta0VSeiabjl/k/eHSdav6dnCmb4fyDiH/exGERyewcOIw+n/+PatmjMdET4cxX6+jo6MdRtWsDddQQuJS2Ho9hH0z3njpZ0VbIz32zxxBdkEhJ0Mfs+DgRf6YOqhSA0V+UTFH70Qws4er3HYddVW+H9VLbtu0Lcf4uJ8bPrcfEZOWydH/jGLx4cusv3CTz/orZrTba0csiAnA4cOH5f6WSCTEx8ezbt06unV7tfWAFDqto1u3bty/f7/a/To6Onh6etYYxooVK9DT05P7XLp0qa6jWm9UG6nQ1NSQ1k0tmDu8D46WZmw951flsREJKfj43+E/Q3vhHx5Jx+ZNMdTRYkCHVoRGx5OTX1DlefXpWS/B8z0DTzOzMa5hFe9V+07xTn8PBnVyoYWlGcO6tGVKH3d+Oy7/bydtmNhNXGo6mz6cXOMaEn73H/MoPpkJvToTcD8ST2cHNNVUGdDRGf/wyFe/yL8h6EkCqTl59Pm/7bgs/g2Xxb8Rl57Ndyeu4/V/26s8R19THRVlJVKeW8zvaXZepZ5eHXVVbI306Ghrzg/j+vI4OZ0zYZFVhrv/xn101FXp09KWgMdx9GlpS2MVZfq3bkZAZOUfrK87Y11tnj7X65uSlV2p50qah/YS9zSDTXPerHGNBL/7j3kUl8SEXm4EhEfi2bosD3VorbA8VF7G5K/1aVZOpZ7wimxMDPlz3lQC18zn3IqP2DV/OsUlpVg9N5/9n54+z2iqNqapsT5tmzZh2eg+qCgrsa9s/Yjn6WtqlJWxXLntT7NyMa5iEbJTdx6SV1TMG+1rnsayPyBUWsZaNyPgUQx9WjejsYoK/V2aExBR9cN4Q6ivPKSvrUkjZWXszeWH/TZrYkx8NYtKRiSk4ON3h/8M6/3cfaw1oVENex+zMTNm68L3CfptOefWLGL3Vx9SVFKClUnNrzG3MjWihbU5Y3p1YUp/T9btP1XpmNiUVK7dfcConjU/yEfEJXL46g0+GDUA/7BHdHRshqGuNgPc2hIaGUNOXv7fusa69KwBIS4tk00zRr5wrQcTXS3sn+shtzczIv65dSpeJly/h1E8SkhhgocrAY+i8XSyQ1OtMQNcW+D/qOZGpfpkXDZio8pnob/xwze/sIgf95/ms7ED6eXaEkfrJkzs485ANxe2nLxc5TkR8cn4XA/mP8O98L8fQccWttIy1smF0Cdx5OQ1YBkzNWLr5zMI+nkp5/7vc3Z/OZuiklKsTKoewffr0fO0b27L2wN74GhtjodLC758czj7LwWSlC7NNyb6OjRtYiK3DkIzc1NSMrIorKJzsrComKVbD7Jkygiikp5SUlKKm1Mz7MxNsDUz4XbE35t2Uxdkz4o/7MLlq824fLWZuIxsvjvlj9cPu2o8V7WRCk2NdGltYcxcr044mhmy1S+k0nGnQh9L72Ntm9cY3v6b4dL7mFNTAiLj6ePUtOxZ0fYf+awo1K/hw4fLfby9vVmyZAlt2rRh8+bNrxSmQkdOrFmzpsb99vb2+Pr61njM/PnzmTt3rty277///m/HTVEkEglFxSVVbl+y/QifjeqLlroqpRIJxSXS44pLpPPsSkolDRpXACtjA4x1tbl+L4KW1tLhztl5+dx+HMu4Hp2qPS+vsAjl5+ZSKSsrUSopv4ZnDRNPklLZMncq+jX0gBYUFf0/e3cdV+X1B3D8QwgIiIK0iCAKBnZ3zm5n68xt1py1qbNjKs6e09k1u7vF7lbERECkJaXj/v64ePEKqKACv+37fr146X3i3POc+5wnznOe72H6lkPM6dcRLU1NkhTJKJKUaSUmJZGcA2UD0KZ8cWo4qA+79/36w7QpX5z2FZzSXUdHW4tS1qZc8XilGpI0OVnBFQ9fun+ku58CBfHp7D8hUTEsc73FP98rnyolKRQkpryfmZCUnCP7zud6G7fk3SF6L7t7qGK2QOqNt1fQa9aN6P2RfSiR6VsOM6ef8mlMUnKy6slwYlIyySnlld1sTAu8U8eUXbzfxMRx74UPXetW/uj6+ro66OvqEB4Vw8WHzxjV4RvVvH9D+WREoUi/LkBKHStkzpVnPqohSZOTFVx59pLuNdO+Wrbr+kMalrTHxDD910QAQt7EsOzUdf4ZpBwuMkmhUB2bE5Jzto59rX1IR1sLZztrXgS8VlveMyAE64Jpg1wqFAqmbDrImE5NlOex5GRVGeXkeUxfTxd9PV3Co6K5eP8xo7u0+vhKKZIVinRviPacu46JkSH1ymfcoKVQKJi8Zidju7fBQE+XpORkEnLBeT09bxsQvILDWDeoEwUyeGXqXRXtrHnx3mtSnkGhWL/z+ldm0o1LSGT67tPM6d4i5TyvQJGcuv/k1HkeUq6F8htyxd2DkimBGd/ExHLPw0dtyM/MSkxKIjEpKc2755qamulur0KhYMqGvYzp0hwDPV2Sk9+9VlT+m6TI/mN16jEkmosPnjC6c/N0l4uNj0dLUz2IvOpaMWVzKxYrwsErd0hOTkYzpYHC0z8IswL50NFOe1uz7MBp6pRxpLRdIR56vVLFpgBlmeSGOtamXDFqFLVWm/b9P8doU7YY7StkLq6K8j4i7W+869YTGjrZYvKBOhYSFcOys7f5p5/yGPhvuFb8Wv5f40F8aV/j2u//Pvyqrq4uRkZGan/a6RycPiQqNh73l/64v1QGQnv1Ogz3l/6qiPVhUTG4v/TnmV8QAJ4Br3F/6U/QOzEVxq7by/y9p1Sf4xOTVGkmJCUREBaJ+0t/vFKiuQPM33uKG0+9ePU6jCevApi/9xTXnnrSqmra2AQ7L97GxNCABmWVN7QVHApz9bEndz18WH/qCg5WZhjpf52RKaJi43B/6Yf7S2WL6avgUNxf+uEbEoaGhgbfNarO8sPnOH33EU9eBTB27R7MC+Sj0Tujn/Sdv45Nrqk9QhqUdWL54fOcvf+EV8GhnLztzvqTl1UjpiQkJTF8+TbcvHyZ068jScnJBIVHEpRBy/iyQ2ep61ycUrZWKeVjy4nb7jz28Wez6zUqOGQ8pvZnl09cAu5+wbj7KYN7vgqLwN0vGN+wNxTQ16O4hYnan7aWJqaG+tibFUgtn7UH2XTlgepzn5pl2XnzEXtvP+F5YChTD5wnJj6B9hWVQYxehkSw4uxt3F4F4Rv2htve/ozYegJdbW3qOtqmyeOsw5fpU6sMFilPSSvaWrD/zlOeB4ay44Y7FW2/7juoaepYcOhH6lhw2jq2dg/z95xUfe7VsBoX3J6x9sQlPPyDWXLgDA+8fOlRXxkoVrkP7cDN25c5/TqQlKwgKPwNQeFv0r1pTXcfuvOIxz4BbD5zjQoOacv1S/lQ+SjrWDWWHznP6buPlXVsXTp1bMEGNrleU32+4PaM827P8AkO5dLD5/RZsB57S1Pa1yz//1c+cfG4+wbh7qvcP16FRODuG4RvaCTR8QksOHqJu17+vAqNwM0nkPE7ThIQEUXTMqlPiPqu2MOmS3dVn/vUKc/Oa27svenO84AQpu5xJSYhkfaVS6l9t1dwGDdevKJj1Q83DM46cI4+dctjkdJjrGIRK/bfeszzgBB2XHWj4juxKr6GnNiHAPp9U5MjNx6w4/xNvAJD2OR6jTP3H6fbOL3zwi1MDPXfOY/ZcvXxi5Tz2OWveh5Lz4V7jzh/7xE+ga+5eP8xfWYuw97KnPZ1lceQ+dsOMebv1B5um05cwPWWG57+QXj6B7HzzFXWHj5D65qV1NJNTk5m97nrtKtTGW2t9EfrAthx5iomRoY0SBmpoaKjPVcfPuPOMy/WHz2LQyELjD6hEeBLiIqLx/1VIO4pQzG/CgnH/VUgvqERymPF+oO4vQxgTo8WymNFRBRBEVFqx4q+y3aw6cJt1efv6lbinpcfy09exSs4lIO33Nlx5R7dapUH+OR031p24gp1S9hTKiXYXwU7a07cf8pj3yA2X7hDBXvrNOt8SVGxcbh7++LurXyP+lVwKO7evvi+TrkWalyL5QddOX3HnSc+/oxdtVNZx97pcdX3j9VsOnX5k9IEMMyrRxUne+ZuP8q1Rx74BIWw58It9l+6TeOK6scqgJ3nbmCSz4AGKY1iFYrZcvWRB3efe7P++EUcrM0x0s+efQrgwv0nnL//GJ+gEC66PaWPy0rsrcxoX1vZKDp/x1HGrEztGdCgfElO3nrAltNXeBn4mltPPZm56QBlixbGPKVRq2uD6oRHxTBz8wFe+Adx5u4jVhw6Q/eGaV9NffYqgCPX7vFT+yaAsoeFhoYGO89d58zdR3j4BVHG3ibNel+D8lrxNe5+ysbcV2FvcPd7nfG1oqYmpoZ5sU8Z3Qag7/rDbLqa2iNw/snr3PD041VoJE8CQph/8jrXPP1oVVZ9ZCuv1xHc8PKnY8X0H4q9NevoVfrUeOdasbAF++8+53lQGDtuPv7q14ri/8+0adOIjo5OMz0mJoZp06ZlKc0c7Tnx1rVr17h8+TL+/sqLKktLS2rUqEHVqtkzGoWbty99FmxQfXbZqeyi2a56OWb2bovrvceM35D6Ts2o1bsAGNyyrioehF9IOJrvvH8UFB5Jx5krVJ/XnrzM2pOXqVK8COtH9gYgJDKKsev2EhTxhnx6ujgWsmDlTz2oWVL9oBIc8YblR86z+Zd+qmll7QrRp3F1Bi7dQsF8Bszs/fWiD7t5+dJn/jrVZ5cdxwBoV6M8M/u0p3/T2sTEJzD5nwNERsdSsZgtK4b1RDdPHtU6L4NDVUMQAozv2oLF+04zbfNBQiKjMM+fj851KjOoVT0AAkMjcL2rfOWnw4xlavlZN7IPVZ1Sg6g+fRXA0Ztu7J6QGrukacVSXH/iSa8/1mBvacqc/h2/XIG8x803iD5rDqo+uxxRDpHVroIjMzvU/6Q0XoZEEBqd2n23eRkHQqJi+PPUDYLfRFPCqiDLv2uheq1DV1uLm17+bLz8gPDYOEwN8lLJzorN37el4HtPdy88fYl3SDguHVPfKexezZkHr4LpumIvZQqZM7iB+sX1l+bm5UufBetVn9XqWJ92uN59zPgNqWPbj1r1to7VU72r/n4dq+BQmDn9O7B4vysL952miLkJfw7sSvFCygvXwNBIXO+93YeWq+Vn3YjeVHWyU31++iqQozcfsnvCj6ppqn1o7lrsLQp+3X3oI+XTv0ktYuISmLzpnTr2U0+1KOgvg0LU6lhkTBwL957CPyyC/Pp5aVKhJD+3a0ielJul/6vy8Qmkz4o9qs8uB5XdmdtVKsHk9g14ERjKzzcPExoVQwH9vDgXNmfjwI4Ut0ztUv4yJJzQqHfqWDlHZR07fpXgyChKWJuxvF+bNK917L7xEAsjQ2oVz7jx5cJjL7xfh+PSpYlqWveaZXngE0jXv7ZTprAFgxt/3fNZTuxDAI0rlGRy91asPHqBmduPYmdRkIU/dKZSMfXyUp3Hfu2vmlbWvhB9vqnBwL82p5zH2n3pYvmgyJhYFmw/jH9IGPkN9GlSpSzDOzUnT0pQ4aCwCPxSbhJB+URy/vbDvAoKQUtLk8LmBRnVpRVdGqoHxLzs9hS/16F0qJvxE/Pg8EiW7z/Jlkk/qaaVdbClT/N6DJy3ioJGhsz6oduX3eAPcHsZQJ9lO1SfXfafBaBd5VIMaVoDV7fnAHSYt1FtvXWDOlG1mLLx/+XrcNUwnwBlbC1Z3LcNCw6dZ9mJK9iY5Gds2/q0rqS8cQ4Mf/NJ6QI89Qvm6N0n7B7ZSzWtaVlHrj/3oddf27A3M2ZOzxafXQ4f4ub5ij5/rFZ9dtl2GIB2NSsws/+39G9eh5j4eCav36usY8WLsGJEH/Vroffq2MfSBJj7YxcW7DrOryu3Ex4Vg3XBAvzc/hu61Fc/pgSHv2H5oTNsHpd6nC5btDB9mtRm4KINFDQyZGa/r3ecTk9kTCwLdh7FPzRcWccqOTO8Y9PUOhauXsfa165MVGwcm05dYs62Q+TT16N6CQdGvdPTwqpgAVaO6sfsLQdpN3ERFsZG9PqmFgNa1FP7boVCweT1uxnTtSX6KcM/6+nkYWb/Tkz/Zx8JCYlM6NkGC+O0vby+BjffYPqsP6z67HJM+cCuXbnizGz/4VfY33oZEql2rRgSFcvYPecIehNNPl0dHC1MWNmrGTXf67G7+/YTLIwMqPXe9HddeOaDd0gELu1Ty7F71VI88A2m68r9lClkxuB6FT4pn/8JEnMCgKlTpzJw4ED09dWvnaKjo5k6dSqTJk3KdJoaCoUix/roBAYG0rFjRy5evIitrS0WFsoWuYCAALy9valVqxa7du3C3Dxz0bunTp3KhDoffqfqv2zG+WcATKj34RbU/6oZZ5U3bBNK5myApNxqhruyN8OEurljCLfcaMa5p4CUUUZU5VPuw+/2/1fNuKt8sib7T8be7kMTm3/dhtX/V9OP3ARgQqXcN9pHbjDjpvJh2IRGmRsZ4b9kxill3IKJ36Q/itp/3fQTymFxJzhmX0+U/ycznsQwefLknM7GV/OmZfYEBjU8lH4cwtxCU1OTgIAAzMzUY0+dPn2aLl26EBQUlOk0c7TnxODBg0lKSsLd3R0nJ/Ub5cePH9OvXz+GDBnCjh07MkhBCCGEEEIIIYTIJv/xmBPGxsZoaGigoaGBo6Oj2igzSUlJvHnzhoEDB2Yp7RxtnDh27Bjnzp1L0zAB4OTkxOLFi6lfv372Z0wIIYQQQgghhBBqFi5ciEKhoF+/fkydOpX8+VNfj9LR0cHOzo4aNdLGgfkUOdo4oaurS0RERIbzIyMj0dX98FBVQgghhBBCCCFEdtD4j8ec6N1bGT/R3t6emjVrkued2DqfK0cbJ7p06ULv3r1ZsGABjRo1wshIGYk3IiKCU6dOMXLkSLp1y76AUEIIIYQQQgghhPiwevXqkZSUxM6dO3F3dwegVKlStG3bNtOjZ76Vo40T8+fPJzk5ma5du5KYmIiOjjKabnx8PNra2vTv35+5c+fmZBaFEEIIIYQQQgil/3jMibfc3Nxo06YN/v7+qjANLi4umJmZceDAAZydnTOdZo6/1rFs2TJcXFy4efOm2lCilSpVUvWkEEIIIYQQQgghRO4wYMAASpcuzY0bNzA2NgYgNDSUPn368MMPP3Dp0qVMp5mjjRNvGRkZ0aBBg5zOhhBCCCGEEEIIkbH/eMyJt+7cuaPWMAHKkTx+//13qlSpkqU0Nb9U5rIqJiaGCxcu8PDhwzTzYmNj2bBhQw7kSgghhBBCCCGEEOlxdHQkICAgzfTAwECKFSuWpTRztHHiyZMnlCxZkrp161KmTBnq1auHr6+van54eDh9+/bNwRwKIYQQQgghhBBKGprZ85fbzZo1i2HDhrFz5058fHzw8fFh586dDB8+HBcXFyIiIlR/nypHX+sYM2YMzs7O3Lhxg7CwMIYPH07t2rU5c+YMtra2OZk1IYQQQgghhBBCpKNVq1YAdO7cWTW8qkKhAKB169aqzxoaGiQlJX1SmjnaOHHp0iVOnjyJqakppqamHDhwgMGDB1OnTh1cXV0xMDDIyewJIYQQQgghhBDiPa6url88zRxtnIiJiVEbA1VDQ4Nly5YxdOhQ6tWrx+bNm3Mwd0IIIYQQQgghxDskICYA9erV++Jp5mjjRIkSJbhx4wYlS5ZUm75kyRIA2rRpkxPZEkIIIYQQQgghRAbOnTv3wfl169bNdJo52jjRvn17tmzZQq9evdLMW7JkCcnJyfz99985kDMhhBBCCCGEEEKdhqb0nACoX79+mmka7/Qq+dQ4E+/K0Tig48aN4/DhwxnOX7p0KcnJydmYIyGEEEIIIYQQQnxIaGio2l9gYCBHjx6lSpUqHD9+PEtp5mjPCSGEEEIIIYQQ4v+GxJwAIH/+/GmmffPNN+jo6DBy5Ehu3ryZ6TT/D0ZQFUIIIYQQQgghRG5nYWHB48ePs7Su9JwQQgghhBBCCCE+hcScAODevXtqnxUKBX5+fsyePZvy5ctnKU1pnBBCCCGEEEIIIcQnK1++PBoaGigUCrXp1atXZ82aNVlKU0Pxfmr/AlOnTs3pLAghhBBCCCHEf9LkyZNzOgtfTWz3+tnyPXqbz2TL92SVl5eX2mdNTU3MzMzQ09PLcpoSc0IIIYQQQgghhBCfJCEhgX79+hEfH0+RIkUoUqQIhQsX/qyGCfgXv9YxsXmlnM5CrjX9iDJy6sQWVXI4J7nT9MPXAZhQ0TyHc5I7zbgVCMDEdrVzOCe51/S9FwCY2LFBDuckd5q+yxWACXWK5XBOcqcZ558BMLFV9RzOSe41/eAVQOpYRt7WsYltauVwTnKn6fsvAjChmk0O5yT3mnHVB4CJTSvmcE5yp+nHbgFSPhl5Wz7/WhJzgjx58qSJOfElSM8JIYQQQgghhBBCfLKePXuyevXqL5rmv7bnhBBCCCGEEEII8UVpSM8JgMTERNasWcPJkyepVKkSBgYGavPnz5+f6TSz3Djx7Nkznj9/Tt26dcmbNy8KhQIN+aGEEEIIIYQQQoh/tQcPHlCxovLVpidPnqjNy2q7QKYbJ16/fk2XLl04ffo0GhoaPH36lKJFi9K/f3+MjY2ZN29eljIihBBCCCGEEELkZvJAXsnV1fWLp5npmBMjRoxAW1sbb29v9PX1VdO7dOnC0aNHv2jmhBBCCCGEEEII8e+X6Z4Tx48f59ixY9jYqEc4Ll68eJqxToUQQgghhBBCiH8NGa3jq8l0z4moqCi1HhNvhYSEoKur+0UyJYQQQgghhBBCiP+OTDdO1KlThw0bNqg+a2hokJyczJw5c2jQ4PPGG4+LiyMuLu6z0hBCCCGEEEIIIb4GDQ2NbPn7L8p048ScOXNYsWIFzZs3Jz4+nl9//RVnZ2fOnTuHi4tLpjNw4sQJWrRogbGxMfr6+ujr62NsbEyLFi04efJkptMTQgghhBBCCCHE/5dMN044Ozvz5MkTatWqRdu2bYmKiqJDhw7cvn0bBweHTKW1fv16WrRoQf78+VmwYAEHDx7k4MGDLFiwgAIFCtCiRQs2btyY2SwKIYQQQgghhBDiK9q4cSO1atXC2tpaFX9y4cKF7Nu3L0vpZTogJkD+/PmZMGFClr7wXb///jsLFy5kyJAhaeb16dOH2rVrM23aNHr16vXZ3yWEEEIIIYQQQnwWCYgJwLJly5g0aRLDhw/n999/JykpCYACBQqwcOFC2rZtm+k0M91zAuD8+fP07NmTmjVr8urVK0DZanLhwoVMpePt7U3jxo0znN+oUSN8fHyykkUhhBBCCCGEEEJ8BX/++ScrV65k/PjxaGlpqaZXrlyZ+/fvZynNjzZOXL16lYSEBNXnXbt20bRpU/LmzcutW7dUASzDw8OZOXNmpr68dOnSrF69OsP5a9asoVSpUplKUwghhBBCCCGE+Co0NLLnL5d78eIFFSpUSDNdV1eXqKioLKX50dc6rl69ytixY9m/fz/58uVjxowZ/P3333z33Xds3bpVtVytWrWYMWNGpr583rx5tGrViqNHj9K4cWMsLCwACAgI4NSpU3h4eHDo0KFMbpIQQgghhBBCCCG+Fnt7e+7cuUORIkXUph89epSSJUtmKc2PNk4MGzaMhIQE6tWrx61bt3j8+DF169ZNs1z+/PkJCwvL1JfXr1+fBw8esGzZMq5cuYK/vz8AlpaWNG/enIEDB2JnZ5epNIUQQgghhBBCiK9BQ2JOADBy5EiGDBlCbGwsCoWCa9eusWXLFmbNmsWqVauylOYnBcQcNWoUNWrUAJQNB8+ePUvTaHDhwgWKFi2a6QzY2dllaQhSIYQQQgghhBBCZL8BAwaQN29eJkyYQHR0NN27d8fa2ppFixbRtWvXLKX5yaN11KxZE4Dvv/+en3/+mTVr1qChoYGvry+XL19m9OjRTJw4MUuZyG2iYmJZtOsoJ288ICQikpJFCvFbr3aUKWqb7vI3H3swb9shPPwCiY2Lx9rUmM4NatCneT3VMiv2n+LEjft4+AWilycPFYoXYVTXVthbmauWmb1pH3vPXyevrg4jO7ekda1KqnlHr95l34UbLBvV/+tteCZExcSyaOcRTt64T0jEG0raFeK3nu0p45B+GQFce/iM2Zv28uyVP1Ymxgxs9w3t61ZVzW80fBq+waFp1uvWuBaT+nwLwOx/9qaWUZdW75XRHfZduM6yUd9/wS39uBvPfVhz5iZurwIJiohicZ9WNHYuBkBCUhKLj1zi3CNPfF6HY5hXlxrFbRnZohbm+Q0/mG5A+BvmHbrA+UeexMYnYGtagN+7NMG5sPL1p6i4eBYcusgpt+eERcVQyCQ/PWuXp2vNsqo0XPafZc/1h+jr5GFEy9q0rlhCNe/o3Sfsv+HO0v6Zj6T7OZKSk1my/RAHzl8jOCwCc5P8tKtXnUEdm6ORwft1x6/eZuvx8zzy9CE+MZFiNlYM7dSS2uXVY9IEhIQx7589nLvzkNi4eGwtzZg5uBfODsruZmv2n2D1/hMADGjbhL6tUwPy3n36gmmrtrJt5q9ovxPUJyc0GjgW36DXaaZ3a1afSd/3SHediKhoFm7ew4krtwl/E4W1mQnj+nalXqUyACQlJbNk+34OnLuiLHfjArRrUJNB37ZUlfuafcdYvfcYAAPaN6Nvmyaq9O8+8WDayk1sm/1btpfPjaderDlxCTdvP4LC37D4x840Lp+6L5+47c628zdx8/YjPCqGXb/9QMnClh9M86lvIEsOnMHN2w/fkHDGftuE7xpVz3D5lccusGDvaXo1qMa4zk1V0112HmPP5bvo6+owol0jWlcto5p39OZD9l+9y9LB3bK+8VmQlJzMkp1HOHDxOsFhkZgbG9GubjUGtW+aYR0DOHDhOqsPnsLLPwhD/bzULVeS0d3bYZzPAIA9Z6/y2/JNauvo5NHm7vr5qs9rDp5i9cFTAAxo3Zi+LRuq5t195sm0NdvZNn3Uv7KORcXEsmjLXk5eva28drC35bd+XShTzF6VRm6tY+9LSk5myY5DHLhwPeV4kXKc7tDsg/vQW7ceP+e7qQspXtiKPS6/ZSrdNQdOsvpAynG6zTf0bfXecXrNNrbN+CX7j0PPXrLm9DXcXvorz/X929O4bHHV/BN3n7Dt4h3cXvoTHh3Lrl96U9LG4oNpJiQlsfLEFfZdcyMgPBJ7cxNGtqlHnZLpP+xbeeIKCw6eo1e9Sozr0Eg13WXPafZce6A817euS+vKpVXzjt5+xP7rbiz9oeNnlkDmRcXEsmj3MU7eTLlWLFKI33q0zfB6+l23nrzgu1nLKG5jyZ7pIzOV5prDZ1h92BWAAS0b0Ld5fdW8u8+9mLZ+N9smD8vxevY1yqfRqN/Tv5ZuVJNJ33UAYPbm/ey9kHIt3aklrWtWVC139Npd9l28wbIRueN+I9f6P4gHkV169OhBjx49iI6O5s2bN5ibm398pQ/I9FCiY8eOJTk5mUaNGhEdHU3dunXR1dVl9OjR/PTTT5nOwNKlS9m9ezcmJib8+OOPNGqUerANDg6matWqeHh4ZDrdzzFh9Xae+vjjMrAb5sb5OXDxJv1mL+fg7F+xMMmfZvm8ujr0+KYWjoWt0dfV4eaTF0xZsxN9XR06N1T2OLn+6DndG9fEuagtSUnJLNhxmP4uKzg4+xf09XRxveXGocu3WfXrj3gFBDF+5TZql3XCOJ8hkdExLNx5mDVjBmZrOXzIhFXbeOrjh8ugHpgXMEopo2UcdBmDhUmBNMv7BL5m4LyVdGlYkz8G9+KK2xMmrtqGWQEjapdV3mTsmDaSpORk1TpPffzoP/tvmlUtD4DrrQccunyLVWN+xMs/mPErt6qX0Y7DrBk7KDs2X010fAJO1mZ0qFqaYesPqs2LjU/k4asgBjauRglrUyJi4pi59wxD1u5nx/DuGaYZHh1LjyXbqOpQmOUD2mFikBev4DCM8uqqlpmz/xxXnr3EpVtTCpkYcfGJN9N3n8Y8vwENSzvg6ubBwduPWfVDB7yCQ5mw7QS1nYpgbJCXyJg4Fh25xOofO3y1csnIqr3H2XriHLOGfEdxG2seeHjx29KN5NPPS68WDdJd54b7M2qWLcGIbm3IZ6DPHtfLDHZZxtaZv1LKvjAA4W+i6T5xLtVKO7LityGYGBni5ReIkYE+AI+9fPhz+0GWjR2MQqFg0Oxl1CpXEkfbQiQmJTF15Ram/tA9xy9WAHa4jFevC96v6D9tAc1qVE53+fiERPpPnY9JfiMW/TIQC5MCvAp6rdp2gFV7j7D12Flm/dSX4oWtefDci9+WrFWWe8tGPPb04c+t+1n221AUChg0609qlSuFYxEbZfms+IepA3vlSPlEx8XjVMiCDjUrMGz59jTzY+ITqOhQmGYVSzFp08F0UkgrNj4BG1NjmlYsxeydxz+47H3PV2w/fwunQuo3Gq73HnPw+gNWDeuJV2AIEzbup3YpB4wN9YmMiWXR/tOs/jn7h8Jetf8kW09eYNagnhS3seSBhze/Ld+s/K2b1Ut3nVuPPRi77B/G9upAg4rOBISEMWXNdiat2sKfIwaoljPMq8fhealDib97ffbY+xV/7jzMsl9+VNaxP1ZQq0wJHG2tlfvQ6m1MHdD1X1vHJixdz1PvV7gM64+5SQEOnLtCv6kLOLhwKhYFjXN1HXvfqn3H2XryPLMGfUdxGyvlcfrvf8inr0ev5ukfp9+KiIpm7F8bqO7sxOvwiEyl+9jrFX/uOMiyXwcp96E5f1Or7DvH6dVbmfp9zhyno+MTcCpkTodqZRi2Zm+a+THxCVQsWohmFZyYtPXYJ6W5+NB5Dtx4yNQuTSlqUZCLj14wbPVeNg3vQan3Gjbue/mx/dJdnKzN1Ka7PnjGwZvurBrUCa+gUCZsOUrtEvYpx6E4Fh06z+rBXbK83Z9jwpodyuvpH1Kupy/dpN+cFRyc+Uu619NvRUTFMHbFVqqXKsbriDeZSvOxty9/7jnGshH9lPVswWpqOTvhWNhKuQ+t28XUvt/minr2Ncpnx+Sf1Y9tr/zpP2cFzaooH1y53nbj0JXbrPrlB+W19Opt1C7jhHE+g5T7jSOsGfPj19lg8a+mr6+Pvr7+xxf8iEw3TmhoaDB+/Hh++eUXnj17xps3byhVqhSGhh9+CpyexYsXM27cOPr27Ut4eDgtWrRgypQpjBs3DoCkpCS8vLwyne7niI1P4MT1+ywZ0ZcqJRwAGNqhKa63H7Ll1CWGd2qeZp1SdjaUsrNRfS5kZsKJG/e58eSFqnFi5a8/qK0z64eu1BoyGTdPH6qUcOC5bwBVSjjgXLQwzkULM+ufffgEhWCcz5C5Ww/StWFNrE2Nv+KWf7rY+HhOXL/HkhH9UsuoYzNcb7ullFGLNOtsPX2JQmYmjOmhfErvUMiCm09esP7IWVXjhImR+j608sApbM1NqVJS+R3PfQOoUrIYzkVtcS5qy6x/9uATmFJGWw7QtVHOlFHdkvbULWmf7rx8eXXTNABMaN+ALou34hsagbWxUbrrrXa9gWWBfMzsmvpUzaag+onqtqcf7SqXomox5c155+pl2H75Pve9A2hY2gGPwBCqOtjgXNgC58IWzN53Dp/X4Rgb5GXuofN0rVk2w+//mm4/8aBh5bLUr6h82ljIvCCHLtzg/jPPDNf5rU8ntc8jurfl1I17uN68r2qcWLXvOFYFjZk5+DvVcjbmpqr/e7wKwLFIIao7OwHgVKSQcpptIdbsP0HlksUoU8zuC23l5zHJn0/t88o9R7C1NKNKacd0l999+gLhb6LZPHMsebSVh/VC72w7wO3Hz2lYpRz1K5VVzT90/hr3n70AwOOVn7J8yigDGDkVscHjlT+ORWxYs+8YlUs6qj0Bzk51nYtT17l4hvPbVFNu06vXYZ+cZhm7QpSxKwTA/L2nMlwuKjaeX9fuYWqPViw/cl5tnod/MFWL2+FcxBrnItbM3nEMn+BQjA31mbv7JF3rVsb6AxeYX8vtpy9oWLkM9Sson54WMivIoUu3uP884/PpnacvKGRmomq8sDEvSJdGNVl14KTachoaGpgVSP+44eEbgKOtNdVT9lMnW2vVtDUHT1G5RDHKOBRJd93s9qXrWGxcPCeu3GLJ2CGqNIZ2aYPrjbtsOXaG4d3b5+o69r7bT17QsFJZ6ld0BlKO05dufnAfemvKqq20rFUZLU1NTt24m6l0PXz9cbR95zit2ocKsebAyRzdh+qWKkrdUhm/vtymirK+vXod/slp7r/uxo9NalCvtPI6p2vtClx+7MW609eZ810r1XJRcfH8uvEgU7s2Zfnxy2ppeAS8pmqxwjjbWuFsa8Xs3aeV53pDfebuP0PXWuWxNsn+c31sfAInbtxnyc99Uq8V26dcT5++xPBv015PvzVl/S5a1qiAlqYGp265ZSpND79AHAtbUb2U8pzhVNhKNW3N4TNUdir6ST0TvravUT6QzrX0IVdszQuqvuO5b6DyfsO+MM72hZm1eR8+Qa8xzmfA3G2HlPcbBXPH/Uau9h+OOVGhQoVP6kEHcOvWrUyn/9GhRDOio6NDqVKlqFq1apYaJgCWL1/OypUrWbJkCRs3bsTV1ZUFCxYwadKkrGbrsyUlJZGUnIxuHvV2Gz0dbW49efFJaTz09OHOU0+qlMj4JBYZEwtA/pSnLiVsrXF78ZLwqGjcXrxUduO3MOXmYw8eer6iV9M6WdyiLy8pKTmljPKoTdfTycOtx+n3crnz1JMa71301S7jxJ0MbkjjExM5cPEmHepVVVWAEraFcPN4r4ws35aRD72apg3UmhtFxsajoYFaL4j3nXbzwNnGguEbDlF78nI6zN/Ejivq4wVXsLPC1c2DgPA3KBQKrj57iWdwKLUclSddJ2tTHrwMIDw6FjefAGITErE1LcDNF69w9wmiZ+3yX3MzM1TBsShXHjzmhW8AAI88fbj1+Dl1KpT+yJqpkpOTiY6JpYBhagut6417lC5ahOHzV1JrwK90+HUm209eUM13tLXGyzcQ3+AQXgW9xtMvgOKFrfD2D2L3mSv83LXNl9vILyg+IZED567SoWGtDE8Gp6/fpbxTUaav3EztfiNpPXwyy3cdIikp9elJBScHrtx/xAtfZeDhR54vufXoKXUqKG8SHIvY4OUXgG/Qa14FvsbTN4DitoXw9g9k9+mL/Ny93Vff1txoxtbD1HMuTs10ulk72VjwwNuX8KgY3Lx8iU1IwNbMhJvPvHF/6U/PBlXTSfHrq1DcnisPnvDCLxCAR16vuPXYgzrlMo6cXb64Pf6vwzh72w2FQkFweATHrt6hbjn1ehkdG0fDYZNpMHQSQ+at4KmPn2qeY2FrvPyCUupYCJ5+gco6FhDE7rNX+blzy6+zwZ/pS9SxpOSMzos63Hr0DPj/qmMVHO3Vj9NeKcfp8h8e3n33mcv4BAYz5Nu0Dyk+JV1H20J4+b1znPYPpHhh69TjdJfWX3Arc158YhK62urXm7p5tLn1wkdt2owdJ6hXqig1nezSpOFkbc6DlFdJ3F76K8/1ZsbcfO6D+8sAetarlGad7JB6PZ3OteLTjK+nd5+7hk/ga4a0+yZLaToWtsLLPwjf16G8Cg7B0z+Y4jaWeAcEs/v8dX7u2OwLbN3n+xrl8774xEQOXLpJh7rvXku/e7/hk3q/8eQFD7186NWk9udtmPjXa9euHW3btqVt27Y0bdqU58+fo6urS/369alfvz56eno8f/6cpk2bfjyxdGS650RUVBSzZ8/m1KlTBAYGkvxO1yEgU69gvHjxQhXLApRxLU6fPk3jxo1JSEhg+PDhmc3eZzPIq0f5YkVYtvckDtYWFMyfj0OXb3PnqRe2FqYfXLf+sGmERL4hKSmZIR2a0ql++u8vJycnM+ufvVR0tMOxsBUAtcuWoHWtSnSetBBdnTzM+rEbeXV1mLpuF7N+6MrWU5f45/gFjPMZMLVfJ4rbfPh96q/JIK8e5YvbsWzvcRwKpZTRpVvceeqZYRkFh0di+t6TqoL58/EmJpbY+Hj0dHTU5p26cZ/I6Bi1mBSqMpq4IKWMuivLaO1OZv3Yja0nL/LP8fPKMurfmeI2Vl9+4z9TXEIi8w9doEV5Jwz1Mm6c8AkJZ+vle/SuW5EfGlXhwcsAZu49Qx4tLdpVUV7EjW9fn8k7TtFg+iq0NTXR0NBgWqdGVHZQ9uKp7WRH64ol6LxoC3p5tJnVtQl5dfIwbddpZnZtwtZL99h08S7GBnpM+bYxxS0LZkcR8H27JryJiaXliGloaWqQlKxgeNfWtK7z6Tdyaw6cJDo2jmY1Ui+6XgYGs/XEOfq0bMQP7Zvx4LkXM9fuQEdbm3b1q+NgY8Xwbm3oP30xACO6tcXBxoq+0xcxukc7Ltx9yJIdh8ijpcW4Pp2oUirjJ/XZ6dS120RGRdO+Qa0Ml/EJCObqg0e0qlON5eN/xss/kGkrNpGYlMSQzspGl+/bN+dNdCwth01CS1OTpORkhndvR+u6yuOUg40Vw7u3p/+0BQCM6NFeWT5T5jO617dcuOPGkm37yaOtxbi+XTN8wvxvcvj6Ax6+9Gf72AHpzq9dqhitq5ahs8sq9PLkYVbvduTV1WHalsPM/K4NW8/dYJPrdYwN8zKlRyuKW3/ee5if6vs2jZV1bPTvqXWsc0ta166S4ToVnYoyZ8h3jPxzHfEJCSQmJdOgojMT+6b2WrKzMmfGD91xsrUmMiaGtQdP033yAg7MGYdlQWMcClkyvEsr+s9aCsCIrq1xKGRJ39+XMLpbWy7cc2fJrqPk0dJk3HcdqVKy2Fcvi0/xJeqYQV49yjs5sGznQRxsrCiY34hDF65x58lzbC2Vv/v/Ux37vm3KcXrU9NR9qEtrWtfO+Djt6RfI/C372Dh5RIZd5j+WrkMhS4Z3bUP/3/8EYETXtsp9aMbi1OP0zsPKMur9LVVK5o7jdFbVLmHPujPXqeRgg62pMVeeeHHy3hOSkhWqZQ7fcuehTwDbR32Xfhol7WlduRSd521Qnut7tFCe63ccZ2aPFmy9cIdN529ibKDPlC5NKW714WvZL0V1Pb3/BA7W5qnX088yvp729A9i/o7DbBw/JN196FPSdLC2YPi3zek/ZwUAIzo1x8Hagr4uyxndpRUXHjxmyZ7jynN9j7aqHgXZ7WuUz/tO3XxAZHQs7Wunvq5Wu4wTrWtWpPOURcpr6e+7Kq+l1+9i1oCU+42TFzE2NGBq329z9H4jN/vUngP/RpMnT1b9f8CAAQwbNozp06enWebly5dZSj/TjRMDBgzg7Nmz9OrVCysrq8/6cUxNTXn58qXayB/Ozs6cPn2ahg0b4uvr+9E04uLiiIuLU5uWmJiY5TwBuAzszviV26g3bBpampqUsitEyxoVcPP0+eB6/0wYQnRcPHeeeTF/+yGKWBSkZY2KaZabtn43T3382TRxqNr0oR2aMrRDaivTX7uPUaO0I9paWvy97yT7Zo7mzJ2HjF2+hV3TR3zWNn4ul4E9GL9yK/V+mpJSRja0rFERN8+s7Yjv23X2KnXKlcDcWL1L9NCOzRj6Tqv3X7uPUsO5eEoZnWDfrF85c9uNsX9vZteMUV8kL19KQlISIzceRoGCyR0bfnDZZIUCZxsLRrRQXiyXKmTOU//XbLtyT9U48c+Fu9z19uevvm2wNs7HDY9XTN/jipmRITVTek8MbVqDoU1rqNL96/gVahS3RVtTk79PXWPfqJ6cefiCcVuOsXNExjEwvqQjl29x8MI1/hjWl+KFrXD39GHWup3KAI0ZNOi96+CF6yzdeZglvwyk4DsNXopkBaUdbBnRXfnqUCn7wjz19mXrifOqdLs2qUvXJqk9bPaeuYKBnh7lHYvSYvhUts8aQ8DrUEYtWsPJJdPQee+JRk7YdeoCdSo4Y55OLJe3khXJFMxvxLSB36GlpUlphyIEvg5l9b7jqsaJI5ducPD8Vf4YPoDiha1xf/GSWWu3qQJjAnRtWp+uTeur0t3regmDvLqUd3KgxU8T2O4yXlk+C1ZwctmsXFE+X4tfSDizdhxj1bCeaXrSvWtoq/oMbVVf9fmvg2epUcJeeUw6cp59EwZy5v5Txq3bx87fsidY75Ertzl48QZ/DFG+1+/u5cOsjbuVwQfrVkt3nWc+fszcsIvB7ZtRu1wJgkIj+GPzPqas2cbvPyiPDRUc7angmPraQYXiRWn1y+9sO3VJ1Suia+PadG2c+uRt77mryotwRztajPqd7dNHERASxqg/13Fy0eRcsQ99qTrmMqwf4/9aT73vf1GeF4va0rJ2VdzeeRXi/6WOHblyi4MXrvPHT32U+5CnD7M27FIFsHxfUnIyv/y5lqHftsTeOuMgkJ+Sbtdv6tD1m9TeonvPXkl5KGJPi5HT2P77r8p9aPFaTi6emiv2oawa17ERk7YepdXM1WhoQGHTArSvVobdV5U9Jf1CI5i16xSrBnf+8HGoeW2GNk+td38duUgNxyLKc/3xy+wb25czD54z7p9D7Pyl91ffrrdcfujG+NXbqTd8urJOFClEy+rpX08nJSfzy9+bGNq+CfaWZumk9ulpdm1Yk64NUx9+7r1wHQM9XcoXK0KLsS5sn/wzAaHhjFq2iZNzf0PnA2X7NX2N8nnXrnPXqFPWKe21dPumDG3/zv3GnuPUKFUcbS1N/j5win0zRinvN1ZsYde0nL3fELnbjh07uHHjRprpPXv2pHLlyqxZsybTaWa6Nh45coRDhw5Rq1bGTxg+Ve3atdm9ezd16qi/slCqVClOnTpFgwYfDroEMGvWLKZOnao2rV69etA6/QuwT2FrYcrGCUOIjo3jTWwc5gWMGLFkAzZmH36ybGOunO9Y2IrX4ZEs2X08TePE9PW7OXvnIRvHD8HyAxdCHr4B7L90i90zRrL77DUqOxXFxMiQZlXLMX7lNqJiYjHIq5flbfxcyjIaqiyjmFjMjfMz4s/1GZaRaf58BIdHqk17HR6JYV69NL0mXgWHcPnBExYP7/vBPHj4BrD/4k12/z6a3WevppZRtfKMX7k1x8voXW8bJnxDI1g7sOMHe00AmOUzwMHCRG2ag7kxJ+49BSA2IZGFRy7yZ+/W1CulvFlwsjbjkW8Q687eVDVOvMsjMIQDtx6xa0R3dl9zo7J9IUwM9WlWzpEJ208QFRuPgZ5OmvW+tLn/7GZA26a0rKVsyXe0LYRvUAgr9h77aOPEoYs3mPj3PywYOYCaZUuozTM1zo/De71litpYcvzq7XTTCo14w187D7Fx6kjuPfPEzspc9ZeYmISnXyCOtoU+Y0s/36vA11y+787iXwZ/cDkz4wJoa2mhpZX6pl5RGyuCw8KJT0hEJ482czfsZED75rRMeULpWMQG3+DXrNh9RNU48a7QiEj+2n6AjTN+4d5TD+ysLVR/iUlJePoG4FjEJs16/xZu3n68jozi21krVNOSkhXceObF5rPXuPPneLQ01d+M9PAP5sC1++z67Qd2X7pN5WJFMMlnQLNKpZiwcT9RsXEYfKTufwlzN+9jQJvGtKyp7FnkaGuNb3AoK/adyLBxYsX+E1R0LEr/1sqg1E62hcirq0PPaYv4uVPLNBe3AHm0tShZxAbvgKB00wyNeMNfu46ycdIw7j3zws7SLLWOJSXh6ReEo631F9rqrPmSdczW0pyN039JOS/GYG5cgBHzlmNjkf6NRG6uY3P/2cOAtk1oWfOd43RwCCv2HU+3cSIqJpYHHt64e/owY60yaG2yQoFCocC5+0+s+m0o1Z2dMp2uch86zMbJI3LtcfpzmBjqs2RAB+ISEgmLisE8vyHzD5xVxZhyexnA6zfRfDt3vWqdpGQFN56/ZPP5W9yZNyrtcSjgNQduuLHr1z7svnKfyg42ynN9BScmbDmSbcchSLlW/G0w0XFxvIlJuZ7+ayM25iZplo2KiePBCx/cvXyZsXEv8M4+1PdXVv3yPdVLFc9UmgChkVH8tfcEG38bzL3n3thZmCmPRZZmynrmH6TqxZzdvkb5vPUqOITLbk9ZPOzDjVEevoHsv3yL3dNGsPvcNSo72qdcS5dj/OrtuepaOlf5D8eceFfevHm5ePEixYur92K7ePEienpZ228y3ThhbGyMiUn6B4DMGjt2LDdv3kx3XunSpTl9+jS7du36YBrjxo1j5MiRatP++OOPL5I/fT1d9PV0CY+K5uL9x4zu0urjK6VIViiIf6cHh0KhYMaGPZy8eZ/1vw1WNWSkR6FQMHnNTsZ2b4OBni5JyckkJCUBkKh6v1WR4frZSb2MHjG6a/rvg5Yvbse5O+5q0y49eEL5dAIQ7jl7DRMjQ+p94N1WZRntYGyPtu+UkbJsclsZvW2Y8AoKY92gjhQwyPvRdSraW/MiSH0oKM+gMFUAy8SkJBKTktOMZKSpqUGyIu12KxQKpuw8xZjWdTHQ1SFZoSAx5ZWsxGTlvpWkSE6z3tcQE5eA5nsHda0M8v2uQxeuM37ZP8wb3k8VTPNdFZ2K4pnyHvNbnr6BWJulf7yatX4nvVs2xLKgMfefe5GYUscAkpKT1KJd55Q9rhcxMTJSDVWYkYolHDh4/hrJycloplyoevoGYGacX/VEKCYuHk2N98tdk+QMfvdZa7fTu3VjLAuacP+Zp3r5pMSd+TerUcKefRPUR0gav3E/9hYFGdCkVpobAoVCwZTNBxnz7TcY6KXUsRw6bsfEp/dbf7iOxcYlqN14A6p9KSNJyck8eelL3QyO1bP+2U3vFvWVdczDO1fuQ1+yjr2lOi++ieLiHTdG9/o23TRzcx2LiU9I/3iRwT5smFePfX+MV5u25fg5rro9YeGIAaoHF5lNd9aGnfRukbuP01+Cbh5tLArkIyEpieN3n9AsZajkGo627Buj/qBm/OYj2FuYMKBRtfSPQ9uOMaZ9Q+W5PjlZdfzJyWsjfV1d9HVTrhUfPGZ057TX04Z5ddn3u3qP1y2nLnHV/RkLh36HzXvn8k9JE2DW5n30bloXS5MC3Pd4mavq2Vtfo3z2nL+uvJb+QKwhhULB5HU7Gdutdcq1tCL1Wjoxd11Li9xp+PDhDBo0iFu3blG1qvLh19WrV1mzZg0TJ07MUpqZbpyYPn06kyZNYv369Z89XEjZsmUpW7ZshvOdnZ1xdnb+YBq6urro6qq3AGtrf173rAv3HqEA7C3N8AoIZu7Wg9hbmaviH8zfdoiA0HBcBiq7um46cQHrgsbYp7xPfOORB2sPn6Fnk9QeIdPW7+bQ5VssGd4PAz1dgsKUw2vl08+Lno56l8QdZ65iYmRIg4rKQGQVHe35a89x7jzz4vxddxwKWWD0CTe4X9OFe49QKBTYW5kry2jLfuytLGif8lRu/raDKWWkHC++a8OabD5xgT+27KdjvWpccXvK0at3+Hu0ejfn5ORkdp+7Rrs6VT74Pt2OM1cwyWdAg5SI3xUd7flr9zHuPPPM9jKKiovHOzhM9flVSATurwLJr6+HmZEBwzccwt0nkKX925KUrCAoIgqA/Pp66Ggrt7Hv37to7OxAj5Qgld/VqUCPJdtZfuoazco5ct/bnx1X7jOlk3K8d0M9XaoULcTcgxfQy6ONtbER1z182H/DnTFt0gYG3Xn1ASYGeWlQWhnUr4KdNX8dv8JdLz/OPfLEwcIEo2xqGW9QqQzLdx/FytSY4jbWPPR8ybqDp+nQIPX1k/mb9xIQEobL0D6A8lWOcX+tZ1yfTpQtbkdQmDIaup6ODvn0lb9z75YN6T5xLst3H6VZzYrcf+bFjlMXmPpD2tdVLt5zx8svkNlDlO/wlnEogserAM7ddsP/dSiampof7JqcHZKTk9l9+iLt6tdIUxfGLF6NhYkxI3sqR4Lp2rQ+m464MnPNVnq0aIiXXyArdh+mZ4vUoZkbVC7L8l2HsDIzoXhhax6+8GbdgRN0aJi2F9zFuw/x8gtg9k/Ki+IyxezweOXPuVv38Q9+Wz7Z9x5qVGw83kEhqs+vXofh/tKf/AZ5sTbJT1hUDH4h4QSm9M7yDHgNgKmRIWb5lQGbx67bi3mBfIxspyyT+MQknvspn/gnJCUREBaJ+0t/9HV1KGJugoGeLsULqceIyKuThwIG+mmmA+y8eBsTQwMalFWOMlDBoTB/HTzLXQ8fzrk9w8HKDCP9bKpjFZ1Zvu84VqYmFLex5KGnD+sOu9LhnZ5J87fuJyAkHJfBvVTrTFq1hS0nzlO7bEmCwiKYtXE3ZR2KqHpN/LX7COWL2WFrYUZEdAxrDp7CNziUb9+pu29dvP8IL78gZg/sCUCZorZ4+AZy7s7Dd+pY9sTgyMiXrmMXbj9QXjtYW+DlH8TcDTuwL2RJ+4Zpeybltjr2vgYVnVm+91jKPmSlPE4fOk2H+u8cp7fsUx6nh/RGU1MTx8LqvWAKGuVDN4+22vRPSfct1XF6cO44TkfFxeP9zkODV6/DcPcJIL9+XqxNjJTHodAIAsOVQzt6BiqPWaZGBpiljKAw9p9DmOc3ZGRr5ag4dz19CQx/Q4lC5gSER/LXkYsoFAr6N1Jebxro6VL8vaFD8+rmoYBB3jTTAXZevoeJoT4NnJXxXCoUteGvoxe56+nLuYceOFgWzLbjEMCF+49TrhXN8Ap4zdxtKdfTdZTxb+ZvP6y8Vvyxm3Ifeq/3Y0EjQ3Tz5FGb/rE033XxwRO8/IOY/X1XAMoULYyHXyDn7rrjHxKOpqYG9lY5dxz6GuUDKce289dpV7vyh6+lz15VXkunBCSvWNyOv/am3G/ce4SDdc7fb+Ra/+GYE+8aO3YsRYsWZdGiRfzzzz8AlCxZkrVr19K5c+cspZnpu/h58+bx/PlzLCwssLOzI8977/plZciQa9eucfnyZfz9lVHkLS0tqVGjhqoFJrtFxsSyYPth/EPCyG+gT5MqZRneqTl5Um4kg8Ii8HtnyDqFQsH87Yd5FRSClpYmhc0LMqpLK7o0TL0Q3HrqEgC9Zy5V+66Z33dRC/oYHB7J8v0n2TLpJ9W0sg629Glej4HzVlHQyJBZP3T7GpudKZHRMSzYfii1jKqWY3inFuplFJx6ErcxL8jfo75n9qa9bDx2DkuTAkwf0EU1jOhbl92e4Pc6lA71Mn4tJzg8kuX7TrBl8s+qaWUditCnRX0Gzl2pLKMfsyd+Aii7Xfb5O7WHj8v+cwC0q1ySIU2q4+qmDBLbYf4mtfXWDeyoGgb05eswQqNiVPPK2FqyuE8rFhy+yLITV7ExMWJs23q0rphaXnN7tmDB4Yv8uvko4dGxWBsb8XPzWnSpod7gFxwZxfJT19g8NHWc87K2lvSpW5GBq/dR0DAvM7tmLaJuVkzo15lF2w4wbdU2QsIjMTfJT+dvajP4nejuQaHq+8/2kxdITEpm+uptTF+9TTW9Xb3qzHrbwFDMjsWjf2TB5n0s3XUYG/OCjO39bZpAm7Hx8cxYvY35I/qrnoBaFjRmfL/OjF+6kTx5tJk15Ls0rxtlt8v33PELDqFDo7SNB37BIWpPH61MTVg5cTiz126j3cipWJgY06tlIwa0Sx2KbMKA7izaspdpKzYREhGJuXEBOn9Tl8Gd1Hs7xcbFM2PVZuaP/OGd8jFhfP9ujP9rHXm0tZn1U1/0dLOvfNy8femzYIPqs8vO4wC0q16Omb3b4nrvMeM37FfNH7VaWR8Ht6yrigfhFxKuVmZB4ZF0nJn6ysbak5dZe/IyVYoXYf3IzL2THRzxhuVHzrP5l36qaWXtCtGncXUGLt1CwXwGzOzdNlNpfo4Jvb9l0Y5DTFu7nZDwN5gbG9G5US0Gd0iN16M8j6XWsfb1qhEVG8um4+eZs2kv+fTzUr20I6O6pY5iExEVw8RVWwkOiyC/gT6l7Auzeepwir13YRwbH8+MdTuZ/1Mf9TrWpyPjl29S1rFBPf91dSwyOoYFm/bg/zqU/IYGNKlekeHd26mGHn0rN9ax903o25lF2w8ybc3WlH0oP50b12Zwx9TtDQoNVztOf6l0IWUfWrud+T/3U9+H+nZi/N8px+lB2XucdvP2p8+SrarPLntdAWhX1ZmZPVrg+uAZ4zcfUc0ftf4AAIOb1VTFg/ALjVDbr+ITE1l06Dw+r8PQ19WhbqmiuPRqmaUGhOCIKJafuMzm4T1U08oWsaJPgyoMXL6Tgvn0mdkje0fMiYyOYcGOI/iHplwrVi7D8G/fuZ4Oj8AvJHP70MfSfCs2PoEZG/cwf3DP1H3IpADje7Zn/Ort5NHWYtb3XdM8IMxOX6N8AC67PcXvdRgd6mZ8HxUcHsnyA6fYMiE1/l1ZB1v6NKvLwPmrldfSKY06QnxI586ds9wQkR4NheIjfanf8358h/e9G8HzYwIDA+nQoQOXLl3C1tYWCwtlC3hAQADe3t7UqlWLXbt2YW6euVbNqVOnMrF5zgyd9P9g+hHlqzQTW2Qcuf2/bPrh6wBMqJizT/Vyqxm3lMMTTmwnw01lZPpe5RCmEzt+PG7Of9H0XcqL+gl1csdoDbnNjPPKoScntvp4gNj/qukHrwBSxzLyto5NbPP58cH+jabvvwjAhGr/3rg5n2vGVWVQxolN0wZ2FzD9mPJhrJRP+qYfu5Wpe8L/N4nDsmf4ee3F+z++0L9MpntOfMkdbfDgwSQnJ+Pu7o6Tk5PavMePH9OvXz+GDBnCjh07vth3CiGEEEIIIYQQInfJcnCG+Ph4AgMDSX4vkIytbdpRAjJy7Ngxzp07l6ZhAsDJyYnFixdTv379rGZRCCGEEEIIIYQQ/wcy3Tjx5MkT+vfvz6VLl9SmKxQKNDQ0SHonCu7H6OrqEhERkeH8yMjINMEuhRBCCCGEEEKIHCEBMb+aTDdO9O3bF21tbQ4ePIiVlRUan/HjdOnShd69e7NgwQIaNWqEkZFymMSIiAhOnTrFyJEj6dYt54M/CiGEEEIIIYQQ4uvJdOPEnTt3uHnzJiVKlPj4wh8xf/58kpOT6dq1K4mJieikRF2Oj49HW1ub/v37M3fu3M/+HiGEEEIIIYQQ4rOljADzX5eUlMS6des4depUuuEeTp8+nek0M904UapUKYKDgzP9RenR1dVl2bJluLi4cPPmTbWhRCtVqqTqSSGEEEIIIYQQQojc4eeff2bdunW0bNkSZ2fnz3qj4q1MN064uLjw66+/MnPmTMqUKUOePOrjA2elQcHIyIgGDWQ4MCGEEEIIIYQQuZjEnABg69atbN++nRYtWnyxNDPdONG4cWMAGjVqpDY9KwExAWJiYrh58yYmJiaUKlVKbV5sbCzbt2/nu+++y2w2hRBCCCGEEEII8RXo6OhQrFixL5pmphsnXF1dM5x3//79TKX15MkTmjRpgre3NxoaGtSuXZstW7ZgbW0NQHh4OH379pXGCSGEEEIIIYQQOU96TgAwatQoFi1axJIlS77IKx2QhcaJevXqqX2OjIxky5YtrFq1ips3bzJ06NBPTmvMmDE4Oztz48YNwsLCGD58OLVr1+bMmTPY2tpmNmtCCCGEEEIIIYT4yi5cuICrqytHjhyhdOnSacI97N69O9NpZrpx4q1z586xevVqdu3ahbW1NR06dOCvv/7KVBqXLl3i5MmTmJqaYmpqyoEDBxg8eDB16tTB1dUVAwODrGZPCCGEEEIIIYT4sqTnBAAFChSgffv2XzTNTDVO+Pv7s27dOlavXk1ERASdO3cmLi6OvXv3pokX8SliYmLQ1k7NgoaGBsuWLWPo0KHUq1ePzZs3ZzpNIYQQQgghhBBCfD1r16794ml+cuNE69atOXfuHC1btmThwoU0a9YMLS0t/v777yx/eYkSJbhx4wYlS5ZUm75kyRIA2rRpk+W0hRBCCCGEEEKIL0pTM6dzkKsEBQXx+PFjAJycnDAzM8tyWp9cskeOHKF///5MnTqVli1boqWlleUvfat9+/Zs2bIl3XlLliyhW7duKBSKz/4eIYQQQgghhBBCfBlRUVH069cPKysr6tatS926dbG2tqZ///5ER0dnKc1Pbpy4cOECkZGRVKpUiWrVqrFkyRKCg4Oz9KVvjRs3jsOHD2c4f+nSpSQnJ3/WdwghhBBCCCGEEF+Ehkb2/OVyI0eO5OzZsxw4cICwsDDCwsLYt28fZ8+eZdSoUVlK85MbJ6pXr87KlSvx8/Pjxx9/ZOvWrVhbW5OcnMyJEyeIjIzMUgaEEEIIIYQQQgjx/2PXrl2sXr2a5s2bY2RkhJGRES1atGDlypXs3LkzS2lm+oUZAwMD+vXrx4ULF7h//z6jRo1i9uzZmJubS4wIIYQQQgghhBD/XtJzAoDo6GgsLCzSTDc3N//6r3Wkx8nJiTlz5uDj45Nh7AghhBBCCCGEEEL8e9SoUYPJkycTGxurmhYTE8PUqVOpUaNGltLM1FCiGdHS0qJdu3a0a9fuSyQnhBBCCCGEEELkPv8HvRqyw6JFi2jatCk2NjaUK1cOgLt376Knp8exY8eylKaG4l84HMbUqVNzOgtCCCGEEEII8Z80efLknM7CV5M4rlu2fI/2rNz/ZkJ0dDSbNm3i0aNHAJQsWZIePXqQN2/eLKX3RXpOCCGEEEIIIYQQ/3qanxUZ4V9FX1+f77///oul969tnJjYpHxOZyHXmn78DgATvymbsxnJpaafuAfAhEqWOZyT3GnGTX8AJjQuk8M5yb1mnLwPwMQWVXI4J7nT9MPXAZhQzSaHc5I7zbjqA8DEphVzOCe51/RjtwCY2Kp6Duckd5p+8AoAflPm5XBOcierKcoh7pouW5XDOcm9jg0aAEgZZeRt+WjOWpTDOcmdksf9nNNZEF/J/v37ad68OXny5GH//v0fXDYrg2X8axsnhBBCCCGEEEII8WW0a9cOf39/zM3NPxhvUkNDg6SkpEynL31ShBBCCCGEEEKIT5GLhxL966+/sLOzQ09Pj2rVqnHt2rUMl125ciV16tTB2NgYY2NjGjdu/MHlAZKTkzE3N1f9P6O/rDRMgDROCCGEEEIIIYQQ/9e2bdvGyJEjmTx5Mrdu3aJcuXI0bdqUwMDAdJc/c+YM3bp1w9XVlcuXL1O4cGGaNGnCq1evPun7NmzYQFxcXJrp8fHxbNiwIUvbII0TQgghhBBCCCHEp8ilPSfmz5/P999/T9++fSlVqhR///03+vr6rFmzJt3lN23axODBgylfvjwlSpRg1apVJCcnc+rUqU/6vr59+xIeHp5memRkJH379s10/kEaJ4QQQgghhBBCiP9b8fHx3Lx5k8aNG6umaWpq0rhxYy5fvvxJaURHR5OQkICJicknLa9QKNBIpxHFx8eH/Pnzf1rG3yMBMYUQQgghhBBCiE+RxXgQmRUXF5fmtQldXV10dXXTLBscHExSUhIWFhZq0y0sLHj06NEnfd+YMWOwtrZWa+BIT4UKFdDQ0EBDQ4NGjRqhrZ3apJCUlMSLFy9o1qzZJ33n+6RxQgghhBBCCCGEyEVmzZrF1KlT1aZNnjyZKVOmfPHvmj17Nlu3buXMmTPo6el9cNm3o3TcuXOHpk2bYmhoqJqno6ODnZ0dHTt2zFI+pHFCCCGEEEIIIYT4BBqa2RMZYdy4cYwcOVJtWnq9JgBMTU3R0tIiICBAbXpAQACWlpYf/J65c+cye/ZsTp48SdmyZT+ar8mTJ5OUlISdnR1NmjTBysrqo+t8qlwdc8Ld3Z2iRYvmdDaEEEIIIYQQQohso6uri5GRkdpfRo0TOjo6VKpUSS2Y5dvgljVq1MjwO+bMmcP06dM5evQolStX/uS8aWlp8eOPPxIbG/vpG/QJcnXPifj4eLy8vHI6G0IIIYQQQgghRLbFnMiskSNH0rt3bypXrkzVqlVZuHAhUVFRqpEzvvvuOwoVKsSsWbMAcHFxYdKkSWzevBk7Ozv8/f0BMDQ0VHtVIyPOzs54eHhgb2//xbYhRxsn3u+m8r6goKBsyokQQgghhBBCCPH/qUuXLgQFBTFp0iT8/f0pX748R48eVQXJ9Pb2RvOdV1KWLVtGfHw83377rVo6nxrXYsaMGYwePZrp06dTqVIlDAwM1OYbGRllehtytHFi0aJFlC9fPsOMv3nzJptzJIQQQgghhBBCZCCX9pwAGDp0KEOHDk133pkzZ9Q+e3p6ftZ3tWjRAoA2bdqoDSn6dojRpKSkTKeZo40TxYoVY8SIEfTs2TPd+Xfu3KFSpUrZnCshhBBCCCGEEEJkxNXV9YunmaONE5UrV+bmzZsZNk5oaGigUCiyOVdCCCGEEEIIIUQ6cnHPiexUr169L55mjjZOzJs3j7i4uAznlytXjuTk5GzMkRBCCCGEEEIIIT4mLCyM1atX4+7uDkDp0qXp168f+fPnz1J6OTqUqKWlJUWKFMnJLAghhBBCCCGEEJ9GUzN7/nK5Gzdu4ODgwIIFCwgJCSEkJIT58+fj4ODArVu3spRmrh5KNKdExcSyaPdxTt56QEjEG0oWKcRv3dtQpmjhDNeJT0hk6b6T7L98i+DwSMzyGzG4bWM61q2iWmb9sfNsdb2M3+swjPMZ0KRyGUZ+2xxdnTwAHLh0i/k7jxAdG0/7OpUZ2621at1XQSH0n7uKnVOGYZhX7+tt/CeKiolj0Z7jnLzlpiwjW2t+6946wzIat2o7ey+m3UkdrM05+PvIT05zzZFzrD5yFoABLerRt1ld1by7z72ZtnEf2yYORltL60tu7gfdeO7DmjM3cPMJICgiisV92tC4TDEAEpKSWHzkIufcX+ATEo6hni41itsysmUdzPNnPETPkmOXWHr8ito0ezNjDo3tq/rce+l2rj/3UVumc42yTPm2MQBh0TH8tuUYV5+9pIhpAWZ0aUopG3PVstN3ncKmYH761v/0MY2/lKiYOBbvOc7J2w9Vv/W47q0oY59xHdt86jKbT1/mVXAoViYF+LFVA9rWqqi2zIbjF9jqehW/kDCMDQ1oUtmZEd82RTdPSh27fJsFO48RHRdH+9qVGNO1lWrdV8GhDJi3mh2ThuaSOhbLop1HOHnjvrKM7ArxW8/2lHGwzXCdaw+fMXvTXp698sfKxJiB7b6hfd2qmUpzzSFXVh86DcCAVg3p26KBat7dZ15MW7eTbVOHZ28de/aSNaev4fbSX1nH+rencdniqvkn7j5h28U7uL30Jzw6ll2/9KakjcUH00xISmLliSvsu+ZGQHgk9uYmjGxTjzoli6qWWXLkAkuPXlJbz97chEPjB6g+u+w5zZ5rD9DXycOI1nVpXbm0at7R24/Yf92NpT90/NwiyDTleewYJ2/eTz2P9WhLmaLp7z/X3J/Re/bfaaafWzQJswKpQasDQsKZt/0Q5+49IjY+HlsLU2YO6IJzSt1dc/gMqw8r30Ed0LIBfZvXV61797kX09bvZtvkYdm6/6QnKTmZJTuPcODidYLDIjE3NqJd3WoMat9ULajXu8b9/Q97z11LM92hkCUH//hN9TkgJIx5W/Zz7u5DYuMSsLU0ZeaPPXBOKfs1B0+x+qByHPoBrRvTt2VD1bp3n3kybc12tk0flWNl1HTMCNrPnsqphUvZMWIsACNdD+FYv47acuf+Xs3mQSM+Kc3uyxZQd2B/tg8fy+lFS1XTC1coRweXqRSpUpHkpGRu79rHzpG/ERcVBYC+sTF91v+NY4M6BD59zsZ+Q3h5555q/a5L5hHs8YKT85d87mZ/kEXvXpj37oVuYRsAYh4/4dX8hYSdPpNm2RKbN1CgYQMe9xlA6NFjGaZZ3f9lutO9ps3Ab+lyAKx//gnjxg3RL10aRUI8N5yc1ZbVKlCAYovnY1SrJrEeL3g+YjTRD9xU8+1mzSDOyxu/v1dkdpMzLafKyHH9GgxKlyKPaUESw8MJP3cB7xmzSAgIAEC3sA0OixdiUK4MUXfv83zYcOJepl47OW1cS9DW7YQcOpLVTc+0mqN/ptGMyVz982+O//IbesYFqDdxLA6NG2BU2Ibo4Nc83n+IM1NnEhcRmWE6BuZmNPp9MkUbNUCvQH68Llzm2IgxhDz3SHf5bvu2U6xpY7Z36snjA4cB0DMuQNtVS7GrV5uQZx4c+PEn/O/eV63TbOEcwl54cWXRX1+2EMS/wogRI2jTpg0rV65EW1vZrJCYmMiAAQMYPnw4586dy3SaOd44sXTpUnbv3o2JiQk//vgjjRo1Us0LDg6matWqeHikX8m+lglrd/LUJwCXH7piXsCIA5du0e+PlRycOQoL4/S7qIxY+g/B4W+Y0a8TRcwLEhgeqRYv4+Dl28zfcYTf+3eiQrEieAYEM27VNjQ0NBjbrTWhkVFMXLuTmQM6U9isIAMXrKFaSQcalC8FwNSNexjZqXmuuGkCmLB2F09f+ePyfWdlGV2+Tb+5qzj4+8h0y+i37m0Y2am56nNSUjLtJi2iWZUyn5zm45d+/Ln3BMt+7o0CGLRwHbVKO+JY2JLEpCSmbtjD1N4dsv2CLjo+ASdrMzpULc2wdQfU5sXGJ/LQJ5CB31SnhLUZETGxzNx7hiFr9rFjRI8PplvMsiCrf0wd2kc7nRbUTtXLMLRpTdXnvDqpVXr5yWtExcWza2RPtl66y+QdJ1TfedfLl3ve/vzWvkGaNLPDxHW7ePoqAJcBnTErkI8Dl+/Qf+5qDswYke7+s9X1Cgt2HWNanw4429lw/8VLJq3bjZFBXhqULwnAwSt3mL/zGDP6dVTWMf8gflu9Ew0NGNO1FaGRUUxat5uZ/TthY2bMoIXrqVbCgfop60/buJeR3zbLPXVs1Tae+vjhMqiHsj5cvEm/2cs46DIGC5MCaZb3CXzNwHkr6dKwJn8M7sUVtydMXLUNswJG1C5b4pPSfOzty5+7jrBs1PcoFAoGzVtFrTJOOBa2VtaxtTuY2q9zztSxQuZ0qFaGYWv2ppkfE59AxaKFaFbBiUlbM77QfdfiQ+c5cOMhU7s0pahFQS4+esGw1XvZNLwHpd5p2ChmacrqIZ1Vn9+th64PnnHwpjurBnXCKyiUCVuOUruEPcaG+kTGxLHo0HlWD+6S9Q3/DBPW7OCpjz8uP3TD3Dg/By7dpN+cFRyc+QsWJhl3tTzsMgZDPV3V54JGqY2o4VHRdP99CdVKOLBi1ABMjAzw8g/GSD8vgHL/2XOMZSP6oVDAoAWrqeXshGNhK+X+s24XU/t+m+MNEwCr9p9k68kLzBrUk+I2ljzw8Oa35ZvJp5+XXs3Sf4f2t+86MrJrG9XnpKQk2o1zoVm18qpp4W+i6T5lIdVKFWfFr4MwMTLEyz8QI4O3ZfSKP3ceZtkvPyrr2B8rqFWmBI62KXVs9TamDuiaY2VUpHJF6vzYF593bk7eOr9iLQcm/a76HB8d80lplm/XCvvqVQh75as2Pb+VJcNP7ufGtl1sHToaPSMjOi+cTe91y1jR6TsAmo8fjV4+Q2ZWrEu9Qf3puXIxs6rUB8C+WhXsq1Vi27Bfsri1ny7O14+Xv88i1uMFaGhg1rkTjutWc/+b5sQ8fqJazvKHAZ8cK+1mGfXG9QKNGlB0/h+EHEy9SdbUycPrA4eIvHkL825pjyWFhv+ElqEh979pjkXv7yg6bw4PmrYEwLBiBQwrVsBz/KSsbHKm5VQZRVy8hO+iP4kPDETH0pIikyfguOpv3Fq3B8B28kTi/f3xGDmawmN/xXbyBJ4OGAhAwbatUSQrsrVhwqpSBSoO6EPAvQeqafmsrMhnZcWJsZMIfvSY/LaFafHnPPJZWbGze58M0+q8/R+SEhPY1qkn8RGRVPt5MD2O7OHv8jVIiI5WW7baT4PSLffaY0ahk8+QldUbUOmHfrRcupDVtZT3YoWqVqZQlUocGzn2y2z8v4nEnACUPSfebZgA0NbW5tdff6Vy5aw9/MzR/iKLFy/ml19+oUSJEujq6tKiRQtmzZqlmp+UlISXl1e25ik2PoETNx4wunMLqjgVpYiFKUPbN8HWvCBbTl9Od53z9x5z/ZEHy0f2o2bp4hQyM6FCsSJULG6nWub2My8qFrejVY0KFDIzoZazIy2rlee+h7JV+GXQa/Ll1aNFtfKUKVqYqiUd8PANBODQldvk0dKiSeUy6X19touNT+DEzffKqN032JqbsuX0lXTXyaevh1n+fKq/B54+RETH0L525U9O08MvCEcbS6qXKkaNUsVwKmyFh7+yjNYcOUdlR/sP9m75WuqWtOfn5rVoXKZ4mnn58uqyeuC3NC/vhL25CeWKWDOhfUPcfALwDY34YLpampqYGRmo/owN86ZZRi+Pttoy795UeAS8pnl5J+zMjOlUvQwega8B5RPjKTtPMfnbRmjlQJcx5W/txuhOzansZJ/yWzfG1rwgW12vprvO/ku36Vy/Ks2rlqWwuQktqpWjU72qrD58VrXMnWdeVChehFbVy1PI1Jhazo60qFaO+x7KJyQvg0IwzKtH86plKWNfmKolivLcLwiAQ1fuoK2lxTeVnNP9/uwWGx/Piev3GN21NVVKOFDE0oyhHZtha2HKllOX0l1n6+lLFDIzYUyPtjgUsqBHkzo0qVqO9Sk9jT4lTQ/fABwLW1O9dHFqODviZGulOg6tOeRKZaeiH+y58bXULVWUn1vWoXE5x3Tnt6lSmsHNalHD0e6T09x/3Y0fvqlOvdIOFDYtQNfaFahbsijrTl9XW05LSxMzI0PVn7GhvmqeR8BrqhYrjLOtFS0rlcJQVwef1+EAzN1/hq61ymNtkvkxvj+X8jx2n9FdWip/awtThrZvmnIeS3//eatgPkPMChip/t4dD33VIVesTAow8/uulHWwxcasILXKOGFrYQqAh18gjoWtqF6qODVKF1ceo/1S9p/DZ5T7TwY9N7Lb7acvaFi5DPUrlKaQWUGaVqtArTIluP8842uOfPp51crmgcdLIqJiaF+vumqZVQdOYlWwADMH9qBssSLYmBekVtmS2FqYASl1zNaa6qUdqeHshJOtNR6+yie8aw6eonKJYpRxyJnXXXUNDOi3aRX/fD+M6NCwNPPjo2OICAhU/cVGZvxE960C1lZ0+fMP1vQYQFJCgtq8Mq2akZSQwNYhowh48gyvG7fYNHA4Fb9th5mDsgeTVUknrm/dReDTZ5xfsRbLkk4AaGpr0/3vBWwaOAJFNsQmCztxkrBTrsS+8CTW4wUvZ88hOSoaw4oVVMvoly6F1cAf8Bg++pPSTAgKUvszbtqEiIuXiPP2Vi3j88d8/FesIsb9Ubpp5C1ejOC9+4n1eEHAP5vIW1zZa1NDWxv7ObN48es4yKbYbTlVRv4rVvHm1m3ifV7x5sZNfP9cimGlimik3CzldSxG0PadxL7wJGjbdlUZaRkZYTPmFzzHjf+CpfBheQwMaL9uOYcGDycmLEw1PeihOzu79ebp4WOEenjieeY8rpN/p3jLpmhk0FBpUswBm+pVOPLTaPxu3ub102cc/mkUefT0KN1FvbeeRVlnqv88hAM//pQmHdMSjrht303Is+fcXr0e0xLK86ymtjYt/pzH4Z9GZUsdE/+fjIyM8H6nPr718uVL8uXLl6U0c7RxYvny5axcuZIlS5awceNGXF1dWbBgAZMmZU8rb3qSkpJISk5GV0e9U4meTh5uPfFMd53Tdx5S2t6G1YfPUG/4DJqNmcOcrQeJjU89EVcoVgQ3Tx/ueSh/wJeBrzl37zF1U55oFrEwJSY+gYderwh7E82DFz44FbYiPCqaxbuPM6Fnu6+yvVmRlJSsLKM875eRNreeen5SGrvOXadGqWIUMjX+5DQdbSzxCgjG93UYr4JD8fQPonghS7wDX7P7wk1+7tD0s7ctO0TGxqGhAUZ5dT+4nHdwKPWmLqfJ76v55Z/D6TZmHLz1iJoTl9Lmj/XMP3SemHf2OSdrM64+e0liUjIXH3vhaKW8OF7teoOqDjY4F7b8shv2id7+1jrv/9Z58mS4/8QnJqKrnbZO3nvhQ0Kicgzl8sWK8NDzFffeNvgFhnD+/mPqlFVezBaxMCU2PoGHXr7v1DFLwqNiWLz3BBN6tiG3SK0PedSm6+nk4dbj9HuS3XnqSY3S6jfvtcs4ceeZ5yen6VjYGi//IHyDQ3kVHIKnXxDFbazwDghm97lr/NypxRfawpwXn5iUZp/SzaPNrRfqr0p5B4VSb+JfNJm2nF82HMA3JLUeOlmb8yDlVRK3l/7EJiRia2bMzec+uL8MoGe9nBkKW3UeS++3fvrig+u2nzSfOsOm0m/Ocm49UV/W9bYbpe1sGL5kA7WGTqbDxPlsP5PaIO1Y2Eq5/7xO2X/8gyluY6ncf85f5+eOzb7cRn6mCsXtufLgCS9SGk8eeb3i1mMP6pQr+clp7DpzmRrOjhQyM1FNc711n9JFbRm+cA21Bv5Gh3EubH+nQcixsDVefkH4BofwKigET79Aihe2wjsgiN1nr/Jz55ZfbiMzqetf83hw6BiPTp1Jd37VHp2ZG/SCifev0G7mZPLkTdtg/i4NDQ36bFzBiT8W4/cw7c21tq4uifHxak9zE2JiAShWW9ng43P3PiUa1kVTS4tSTRvz6p7ylYWmvw7nyZkLeN+8nZVN/TyamhRs2wZN/by8ual8XVUzrx7Flv2J57gJJAQFZTrJPKamFGjckMDN2zK1XrTbQ/LXrglaWhSoX4/oh8qAdFZDBhFx6TJRd+99JIWvJIfKSKtAAUw7tify+g0UiYkARLu5k79ubdDQIH+9ekSn7Iu2k8YTsHY98b5+WdjArGm+aA5Pj5zgxemzH11WN78RcRGRKJKS0p2vrasDQGJcbOpEhYLE+Hhsa1ZLXS5vXtqvX8mR4b8QFRCYJp3A+w+wr18XDS0tin7TkMD7DwGoOWoYXucu4nfrTia2UPzXdOnShf79+7Nt2zZevnzJy5cv2bp1KwMGDKBbt25ZSjNHX+t48eIFNWumdkmvWbMmp0+fpnHjxiQkJDB8+PBsz5NBXj3KFyvCsn2ncLAyp2D+fBy6coc7z7ywtSiY7jo+ga+59cQT3Tza/DnsO0Ijo5i2YS9hb6KZOUDZHbhVjQqEvomi5+/LUKAgMSmZLg2q82Nr5bum+Q30mfV9F8au3EZcfAJta1akdhknxq/eQfdGNfEJDmHIonUkJCUxtN03NK1SNtvK5H0GeXUp72DLsv1vy8iQQ1fucueZd4Zl9K7A0AjO33/CHz92zVSaDtbmDO/YlP5zVwEw4ttmOFib0/ePVYzu3JwLD56wZN9J8mhpMq57a6o4FU33+3NSXEIi8w+dp0X5Emq9HN5X1taK37s2w97MmKCIKJYev0yvv7axf3RvDPSUJ6SWFUpgbWyEeX4DHvsGM//QeTyDQlncR3mT/X3DqkzbdZKms1ZTyNiI6Z2b4BkUyr7rbmwZ1o0pO09y6bEXpQtbMK3TN+T7SGPJl/L2t/77wOnU3/rqXe4898bWPP39p5azIzvP36BRxdKUKmKNm+crdp67TmJSEmFvojArYESr6uUJjYyi56zl8LaO1a/Gj62Ur67kN8jLrP6dGLdqO7EJCbSpWZHazo5MWLOLHg1r8CoolCGLN5CYlMyQto1omoM9lQzy6lG+uB3L9h7HoZCF8jh06RZ3nnqqnlK/Lzg8EtP86q3UBfPn401MLLHx8Z+UpkMhC4Z3bkH/2csAGNGlJQ6FLOg7aymju7bmwv1HLNl9jDxaWozr1Z4qJRy+bkF8RbVL2LPuzHUqOdhga2rMlSdenLz3hKTk1BulskWs+b17c+zNTZT18OhFei3ezP6xfTHQ06V2SXtaVy5F53kb0MujzaweLcirk4dpO44zs0cLtl64w6bzNzE20GdKl6YUt0r/t/vSVOex/SdwsE45j12+nXIeSz8PZgWMmNKnI852hYlPTGTn2av0nr2MrZOGUdpO+Q75y6AQtrpepk/TuvzQuhEPPF4y85+96Ghr0a52FRysLRj+bXP6z1G+3z6iU3McrC3o67Kc0V1aceHBY5bsOa7cf3q0zdH95/s2jXkTE0vL0b+jpalBUrKC4Z1b0rp2lY+vDASGhnP+rjt/DP1ObfrLwNdsPXmBPs0b8EO7b3jw3JuZ63cpy6huNRwKWTK8Syv6z1LGXRjRtTUOhSzp+/sSRndry4V77izZdVR5HvuuI1VKFvvi256eyl06YluxnOqVifdd27yDEK+XhPn6YVPWmfYuU7FwKs7yjukPBQ/QZMwIkhOTOL14WbrzH58+S6f5M/lm9DBOL1qGroEB7WdPAcDIStl4fnT2ArovW8D053d57enNxv5DMC/mQPXe3ZlTozHdly2gZJOGeN+4zcbvhxEb8eEeiZ8jb4kSOB/ai6auLklRUTzp9z0xT54CUGTqZN5cv0noseNZStu0y7ckv4ki5HDmXi/w/XMp9i4zqXD1AnEvffAY+Qt69naYdf4Wt1ZtsXeZSf76dYm6ew+PUWNI+oTeLp8jp8rIdsI4LPr1QUtfn8gbN3ncq49qntfUGRT9YxYVrl8m2t0dj1/Gka96NQycS+M9YxbFVyzFoFxZws+cw3PCZBTv9fD5Ukp36oBV+XKsqtXoo8vmLWhCnXGjub1mfYbLBD9+Spj3SxpOm8ShoSOIj4qm+rBB5LcphKFl6sOnJn/8js+Vazw5mP6+dfGPhbT4cx5D3W8R7uXNgYHDMHEoStmeXVlbrykt/pxH0cYN8Lt5h4ODf/5gDIz/FHmtA4C5c+eioaHBd999R2JKg2CePHkYNGgQs2fPzlKaOdo4YWpqysuXL7Gzs1NNc3Z25vTp0zRs2BBfX9+MV04RFxeXZjjSt4WTVS4/dGX86u3UG/E7WpqalCpSiJbVy+Pm+Srd5ZMVCjQ04I8fu5Ev5d3bMd0SGf7XP0z6rj16Onm45v6cFQdOM/G7dpQraotX4GtmbdrP0n0nGdxWGcDwm0rOat3Krz16zhMfPyb0bEvTMS7MHdgds/z56DxtCZWdiqq9C5zdXH7owvg1O6k3cmZKGVnTslo53LzSL6N37b14k3z6ejSqWCrTaXZtUJ2uDVK70O69cBMDPR3KO9jSYtw8tk8aSkBoOKP+3sLJOWPSPJ3PSQlJSYzccBCFAiZ/++GTU92S9qr/O1mbUbaIJY1nrOLo3cd0rKa8ae5cI7WBytHKDDMjA/r9vRPv4DBsTQuQL68uf/RUfwrXd9kORreuy4Fb7vi8DufQ2D5M3n6CpSeuMKbNlx+rOCOzv+/MhDW7qD9qluq3blGtHA8z2H8GtW5IcHgk3X5fikKhfA++Xa2KrD5yThW87tojD1YcOsOkXm0pW7Qw3gGvmbnlAMv2n2JQG2V5N65UmsaVUgMWXn/swRMfP8b3aE2zsXOZO7Arpkb56DLjLyo72udsHRvYg/Ert1LvpynKMrKzoWWNirh5ph8g7Eul2bVRLbo2qqX6vPfcNQz0lA0bLX6ZyfZpIwkICWPUkg2cXDAxV9WxzBjXsRGTth6l1czVaGhAYdMCtK9Wht1XU9+1r1sqtYHTqRCULWJF46l/c/T2Yzqm1L+hzWsztHlt1XJ/HblIDcciaGtq8vfxy+wb25czD54z7p9D7Pyld7Ztn8sP3ZTnseHT3zmPVcDN0yfd5e2tzLG3Sg2YW6G4Hd6Br1l/7BxzfuwOgCJZQWl7G0ak9KApVaQQT1/5s/X0Fdql3NR3bViTrg1THzrsvXAdAz1dyhcrQouxLmyf/LPyGL1sEyfn/pZj+8+RK7c5ePEGfwz5juI2Vrh7+TBr427MjfPTrm61j66/99xV8unnpVFl9QcFimQFpYsWZkRXZUDrUnaFeerjx9aTF1Xpdm1cm66Na6ulZZBXj/KOdrQY9Tvbp49S1rE/13Fy0WR03usB86UZ2xSi8yIXFn3TlsQMhne/sHKd6v++Dx4S7ufPiNMHMS1qT7BH2t44thXL0/DnQcysWCfNvLf8Hj5iXe+BfDt/Ju1mTSE5KQnXxX8T7h+g6kYeGxHBmh791dYbfuoAu3+ZQNUenTEtas9kp0r0WvknLSeNYdfor9dFP/b5c+41aoa2UT5MWrXAYfECHrbvhJ6dHUa1a3G/cdZ7Bpl37ULw7j0oMij/jCRFRvJssHpX/ZI7t+I97XdMO7RHt0gR7taqT9F5cyg0ajjeU6ZnOY+fIqfKyHfp3wRu3oqujQ2FRg3H4c+FPO7ZB4AEf38e90oNJq6ho4P91n94PmwENsOHkfQmiru16lNiy0bMv+tBwOp1Wc5jRoxsCtFk7kw2texA0kd+Y518+ei2ZxvB7o85O90lw+WSExPZ0eU7Wv+9mF/8X5CcmIjH6bM8PXpCdV3k2LIZdvXrsLJa/QzTiYuIZE/vH9Sm9Ty6l5PjJuPctRMF7O1YWqYqrZYtpM5vv3Jy7MRP33Dxr6ejo8OiRYuYNWsWz58/B8DBwQF9ff2PrJmxHL2qrF27Nrt376ZOHfWTV6lSpTh16hQNGnw8WN+sWbOYOnWq2rR69epBi6yPQGBrXpCN4wYRHRfPm5hYzAsYMWLpP9i803XzXWYFjLAwzq9qmADlU36FQoF/SBh2lmYs3nOMNjUr0qme8uLEsbAVMXHxTF63i4GtG6q91wvK0T+mbdiLyw9d8A58TVJSMlVTnjLZWZpy77k3DSqo39xnJ1vzgmwc++N7ZbQ5wzJ6S6FQsOv8DdrUrIDOe12qM5tmaGQUf+0/xcaxP3LP4yV2lqaqv8TEZDz9g3HMoVcX3ve2YcI3NIK1gzp9sNdEeozy6mFnZoxXcFiGy5S1tQJQNU68b/e1B+TLq0sj52IMW7efRs4O5NHSomk5R/489uH30L80W/OCbBj7A9Fx8UTFxGJWwIiRyzL+rfV08vB7v2+Z8l17Xke8waxAPnacvYaBni4m+QwAWLznBG1qVuDblBFyHG0siY6PZ8r6PfzYqkH6dWzjPly+76ysY8nJqt42dham3PN4qQq2mRNsLUzZOGEo0bFxyvpgnJ8Rf67Hxiz93iWm+fMRHK7+RON1eCSGefXQ09HJUpqhkW/4a88xNk74iXvPvLCzNMfO0gw7SzMSk5Lw9A/EsbD1l93wbGJiqM+SAR2IS0gkLCoG8/yGzD9wFpuCGQeLNNLXw87MBK/g0HTnewS85sANN3b92ofdV+5T2cEGE0N9mlVwYsKWI0TFxmGQybqfVbYWpmz8bTDRcXG8iYlTHk//2oiN+YeP0e8qW7QwN995ndG0QD4crNVHQSlqZc7x6+l3HQ+NjOKvvSfY+Ntg7j33xs7C7L39JwjHwlZZ2r7PNXfzPga0aUzLmspXbxxtrfENDmXFvhMfbZxQKBTsOnOVNnWqpDmPmRob4VBI/bxT1NqC49fupptWaMQb/tp1lI2ThqXUMTPsrMyxszJXlpFfEI62X7eO2VYqj5GFOb/dOq+apqWtTbG6tag/9AeG6pqmeef8xdUbAJgXK5pu40SxOjXJZ27GTO+Haml+O+93Gg0fxHh7ZSP79S07uL5lB/nMzYiPikahUNB45FCCPTzTzWuNPj2ICQvn7v7D/LjrH+7uPUhyYiI3d+yl9bTf0l3nS1EkJBDn6UkcEHXvPobly2E5oB/JsbHo2RWhyhM3teUdVy8n8uo1HnbonH6CKfJVq0re4sV4+uPgz86jWdfOJIVHEHrsOI6rVxB69BiKxEReHziIzS+jPjv9j8mpMkoMCSUxJJRYjxfEPH1KxdvXMaxUUfVKybsK/TyU8DPniLp3n6JzXXjp8geKxERCDh/FqFbNr9I4YVWhHIYW5nx/5Yxqmqa2NkVq16TKoAHMNLJEkZyMjqEh3ffvIO5NJNs79yL5Iw9b/W/fZWW1euga5UNLR4fo4Nf0O3cC31vK153s6tfFpKg9vwao19Fvt67H++JlNjZJ+zprue+6ExcWzpODR+i0dT2P9x8iOTGRh7v2UX/SuM8vjH8L6TmhRl9fnwIFCqj+/zlytHFi7Nix3Lx5M915pUuX5vTp0+zateuDaYwbN46RI0eqTfvjjz++SP70dXXQ19UhPCqai/efMLpL+u9bVyxehGPX76ldeHr6B6OpoYFlSlT9mLgENN67OdLSVO7Y6cUsXrb/FHXKOFLazoaHXq9IeufCIDExSe1zTlIrowdPGN25+QeXv/7YA+/A13Ssk3HX2U9Nc9aWg/RuUgtLk/zcf/GSxHfey0tKTiJJkTvK6G3DhFdwGOsGdaKAwYff001PVFw83sFhtK6U8c3yo5TAhWZGBmnmhbyJZtmJK/wzVBntOylZ+dqDMn/Jal3Zs1Pqbx3DxQdPGdXpw/tPHm0tLFNGGjh89R71y5VQNTrExsej+d7JQksj4zr294HT1HZ2pFSRQjz08iXxnTqVkBKfITfQ19NFX0835Tj0iNFdW6e7XPnidpy746427dKDJ5QvZpflNGf9s5fezethWbAA9z281etYDu43X5JuHm0sCuQjISmJ43ef0Kx8iQyXjYqLx/t1GK2NSqeZp1AomLLtGGPaN8RAV4fk5GRVHXv7b06Ul76uLvq6Kb/1g8eM7tzq4yulcPf2xaxA6qtCFYvb4+mv/q64p38Q1imxg943a/M+ejeti6VJAe57vExn/8m5OhaT3vFCU4PkTxhF4Lr7M7wDguhYv3qaeRUdi+Lpp/5e9wfL6J/d9G5RH8uCxhnUsa9fRo9OnWWas3qDzHdrl+H/6AnHXRakGwyvcHll40K4n3+6aV7duJVHJ13Vpg07tocrG7dyee0/aZaPDFTuVzX79iQhNhb3E65pljE0LUjLSWOYW1sZX0pTSwutlF4lWnm00czuEU40NdHU1cXnj/kEbt6qNqvcmZN4TZpK6ImTH03GvHtX3ty9p4oXkVXaBU0oNPJn3NqkBEPU0lIFhdTQzpNhYMWvKifKKOWaQDMlJsO79IoXo2D7dtxvnBKjTEsLDW3lPqShrf3VyuiF6zn+rlhLbVqbFX8S/OQpl+YuVjZM5MtHjwM7SYyPY1vHHh/tYfGut69amDgUxapSec5MmwnAxbkLub12o9qyA29d5Pgv43l6+GiadPRNC1Lnt19Y31B5v6OhVsdyaB8SuVpiYiJTp05l8eLFvHnzBgBDQ0N++uknJk+eTJ4s9PzL0caJsmXLUrZsxrETnJ2dcXb+cPR8XV1ddHXVn0Rpa3/eZl24/xiFAuytzPAKCGbutkPYW5nTPqXb6vwdRwgIDcflB2XMhJbVK7Bs/ynGr9rO0PZNCH0TxR/bDtGhThX0dJQ/SoPyJVl37Dwlba0p52CLV0Awi3cfp375kmlGTHj2KoAj1+6ye9pwQPlkSkNDg51nr2GaPx8efkE5MirFuy7cf4ICBfaWZngFvmbutsPYW5mpRt+Yv+MoAWHhuHyvPvTVznM3KFu0MI42aXs0fCzNd110e4pXQDCzB3QCoIx9YTz8gjh37zH+IWFoampib2n2FbY8rbcNB2+9CgnH/VUg+fX1MDMyYPj6g7j7BLB0QHuSkhUERSjHb8+vr4eOtvJA33fZDhqXKUaP2sqo1nP2n6VB6aJYGxsRGB7FkmOX0NLUpGUF5Y2Td3AYh24/om4JewoY6PHYNxiX/WeoXLQQTtZpt3vW3jP0qVcJi5SYBBXtrNl/052aTkXYceUeFe2y9+n3hQdPUCiUv7V34Gv+2H4k5bdWPsWcv/MogaERzP5e+TTF0z+Iey98KFu0MBFRMaw/foGnr/yZlfL7A9QvV5L1xy9Q0tZa+VpH4GsW7z1B/XIl0q9j1++xa8owAIpamaGpocGuc9cxzZ+PF35BlLG3yabSSN+Fe4+UZWRlrjwObdmPvZUF7VOe6s7fdlB5HBqoHB62a8OabD5xgT+27KdjvWpccXvK0at3+Hv095+c5rsu3n+Ml38Qs1O69JcpaouHbyDn7rrj/zpUWcessrGOBaX2Vnj1Ogx3nwDy6+fF2sSIsKgY/EIjCAxXnhg9A0MAMDUywCzl1Zyx/xzCPL8hI1srX1+66+lLYPgbShQyJyA8kr+OXEShUNC/UVXV98zZ60oDZwesjfMTGPGGJYcvoKWhQct0Ggl3Xr6HiaE+DZyVMQIqFLXhr6MXuevpy7mHHjhYFsRIP/uGqVWexxQp57HXzN12UHkeS2kYnr/9sHL/+VEZsGr9sXPYmJlQrJAlcQkJ7Dx7jasPn7Hql9Tuvr2b1qH7jCUsP3CKZlXLcd/Dmx1nrjC1b6c033/xwRPl/vO98jxZpmhhPPxS9p+QcDQ1NdReI8luDSo6s3zfcaxMTShuY8lDTx/WHXalwzsNDvO37icgJByXwb3U1t155jJlixVJt9dQ7+b16T5lAcv3HqdZ9Qrcf+7FjtOXmNo/7TCQF+8/wssviNkDlXEbVHXszsPUOmb99cso7s0bfN3Ub/rio6KIeh2Cr5s7pkXtqdq9Ew8OHyfqdQiFypam04LZPDl7gVf3U5+ET3G/wd5xU7iz9yBRISFEhYSopZmUkECEfyABT56pptUf8gPPL10l7k0UJb9pQMc/prNn7BRiwsPT5LPzQhdOzltCWEoAw+cXr1CtVxceHj9FnR/68vxi+qM9fQmFfxtD2OkzxL96haaBIaYd2mJUswaPuvZUjSTxvrhXvsR5p74yV+68K94zXQg9knpTqGVoiEnrlnhl8LqFTiFrtAsUQKeQNRpaWuiXVvaYjX3hSfJ7Q0XaTZuC398rSPBXNhhFXr+OaaeOhJ09h3mv7kRev/G5xfBBOVFGhhXKY1ChHJFXr5MYHo5ekSIUHjOa2BeeRN5I22ui6B8ueE2eSnLKMLiR129g3rMbMR4emHXqSPDefV+iKNKIf/OGoPcaVuKjo4l5HUrQQ3dlw8TBXeTRz8vefj+ia5QPXSPl9Vp0ULCqgXDQ3Sucnjidx/sPAVCyQ1uig4MJf+mDeelSNJ03i8f7D+OR0jAYFRCYbhDMiJc+hHmmHWGhydyZXFn4F5Epdezl5auU6d4Zj5OuVOjfm5eXv14d+7+TA6Pd5UY//fQTu3fvZs6cOdSoUQOAy5cvM2XKFF6/fs2yZenHHPqQXPGy8LVr17h8+TL+KQdUS0tLatSoQdWqVT+y5tcRGRPLgh1H8A8NJ7+BPk0ql2F4x6bkSbmRDAqLwO91mGp5Az1dVo/+nhmb9tFp6mIKGOrTrEpZtcjkA9s0QkNDg8W7jxEQGo5JPkPqly/J8PeilysUCiav28WYbq3QT2n11dPJw8wBnZm+cS8JCYlM6NUWC+OMux5nh8iYWBbsPJpaRpWc1csoXL2MACKjYzlx8wHjuqf/lPZjab4VG5/AjH/2MX9Qd9VTc0uT/Izv0Ybxq3eQJ482swZ0VjUMfW1uLwPos2yH6rPLfmUU5naVSzGkaQ1c3ZTvYHWYp956vW5QJ6oWUzYyvXwdTmhU6pjxAeFvGP3PYcKiYjExzEtF+0JsGdYNk5RhDPNoaXH5iRcbzt0iJj4BywL5+KZMcQZ+k/Ym88IjT7xfh+HSPbVXQvfa5XngE0DXRVsoY2vJ4CY1vlBpfJrI6FgW7jr2zm9dmp87pP7WweGR+IWEqZZPSlaw7th5PP2D0dbSpGoJBzb/Nkg12gvAwNYN0NCARXuOExgagXE+AxqUK8nPHZuofbdCoWDK+j2M6dJSvY71+5bpm/YTn5DIhJ5tcr6ORcewYPsh/EPClGVUtRzDO7VQPw6983qBjXlB/h71PbM37WXjsXNYmhRg+oAu1C5b4pPTfCs2Pp4Z63cx/6feqXWsYAHGf9eB8Su2kEdbm1k/dlO9LvK1uXn702dJ6lM3l73KC692VZ2Z2aMFrg+eMX5zarCvUesPADC4WU1VPAi/0Ai1J+XxiYksOnQen9dh6OvqULdUUVx6tVRrQAgIi2T0+gOp9bCoDVtG9lTVw7eCI6JYfuIym4f3UE0rW8SKPg2qMHD5Tgrm02dmj+wdhSEyOiblPBaWeh77trn6MTokdf9JSExizpYDBISGo6ejg1NhK9aM+ZFq7wRkLFPUlsXD+rBgx2GW7juBjakJY3u0pXXNimrfHRufwIyNe5g/uOc7x+gCjO/ZnvGrt5NHW4tZ33fNtmN0eib0/pZFOw4xbe12QsLfYG5sROdGtRjcIfWcrDzXq7/CExkdw4lrdxn3Xcf3kwSgjEMRFo8YwIJtB1i65yg2ZgUZ26tDmkCbsfHxzFi3k/k/9Xmnjhkzvk9Hxi/fpDyPDeqZbXXsQ5Li4ynRuD4Nhw9G10Cf0JevuL1rH4dnqPdStSzhSN78mRs6165qJVpN/Q1dQwMCHj1h04/DufrP1jTLlWrSCLNiRVnbK7Wx1XXJCopUrsCYq6fxvHaTQ1NnpVnvS8ljakqxPxeQx9ycpMhIoh+686hrT8LPnf/4yinyFi+GttF7QYvbtQE0eL0n/Zviwr+OxqxLauNf2VPHAHjYoRMRl1JHyslfvx569nY8G/qzalrAmnUYliuL8+H9RN2+g8+8BZ+c16zIiTJKionFpEVzbEaPQks/L/GBgYS7nsXnh8Eo4uPVljXv1YOE4CDCTpxSTfOZO5/iS//E+fB+wl3PELA24wCUX5NVhbLYVFM+iBv6UL1RZbFTOcK9lA04pk6O6L5TxwwtLfhmzgwMzc2I9A/g/qZtnJuZtd7jRRs3xKRoUfb2Haiadn3ZKqwrVqDf+RO8unGTc7/PyVLa4t9r8+bNbN26lebNU+8xypYtS+HChenWrVuWGic0FIpP6MP4lQQGBtKhQwcuXbqEra0tFhbKd1kDAgLw9vamVq1a7Nq1C3PzzD05mDp1KhOblP8KOf53mH78DgATv8m5ET9ys+knlO9PT6iUO+JV5DYzbiobESc0zrnRLHK7GSeVQRUntvi0yP//NdMPXwdgQrWc7Z2SW824qgxaObFpxY8s+d81/ZjyAn5iq7SvVgiYflB54+o3ZV4O5yR3spqijL/QdNmqHM5J7nVs0ABAyigjb8tHc9aiHM5J7pQ87mcmT56c09n4apL+GJIt36P1y1/Z8j1ZZW5uztmzZylZUr1Hqbu7O3Xr1iUoC8MG52iflMGDB5OcnIy7uzuenp5cvXqVq1ev4unpibu7O8nJyQwZkj0/vhBCCCGEEEIIIT5u6NChTJ8+XW3kzLi4OH7//XeGDh2apTRz9LWOY8eOce7cOZycnNLMc3JyYvHixdSvXz/7MyaEEEIIIYQQQrxPRusA4Pbt25w6dQobGxvKlSsHwN27d4mPj6dRo0Z06NBBtezu3bs/Kc0cbZzQ1dUlIiIiw/mRkZFpgl0KIYQQQgghhBAi5xQoUICOHdVjMBUu/HmDNuRo40SXLl3o3bs3CxYsoFGjRhgZKYO8REREcOrUKUaOHEm3bt1yMotCCCGEEEIIIYSSjNYBwNq1a794mjnaODF//nySk5Pp2rUriYmJ6KREpY6Pj0dbW5v+/fszd+7cnMyiEEIIIYQQQggh0hEUFMTjx48BZWgGM7OsDzWf4691LFu2DBcXF27evKk2lGilSpVUPSmEEEIIIYQQQogcJzEnAIiKiuKnn35iw4YNJCcnA6ClpcV3333Hn3/+ib6+/kdSSCtHGyfeMjIyokGDBjmdDSGEEEIIIYQQQnzEyJEjOXv2LAcOHKBWrVoAXLhwgWHDhjFq1CiWLVuW6TRz/IWZmJgYLly4wMOHD9PMi42NZcOGDTmQKyGEEEIIIYQQ4j0aGtnzl8vt2rWL1atX07x5c4yMjDAyMqJFixasXLmSnTt3ZinNHG2cePLkCSVLlqRu3bqUKVOGevXq4evrq5ofHh5O3759czCHQgghhBBCCCGEeFd0dDQWFhZpppubmxMdHZ2lNHO0cWLMmDE4OzsTGBjI48ePyZcvH7Vr18bb2zsnsyWEEEIIIYQQQqQlPScAqFGjBpMnTyY2NlY1LSYmhqlTp1KjRo0spZmjMScuXbrEyZMnMTU1xdTUlAMHDjB48GDq1KmDq6srBgYGOZk9IYQQQgghhBBCvGfhwoU0a9YMGxsbypUrB8Ddu3fR09Pj2LFjWUozRxsnYmJi0NZOzYKGhgbLli1j6NCh1KtXj82bN+dg7oQQQgghhBBCiHdo5njYxlyhTJkyPH36lE2bNvHo0SMAunXrRo8ePcibN2+W0szRxokSJUpw48YNSpYsqTZ9yZIlALRp0yYnsiWEEEIIIYQQQoh0JCQkUKJECQ4ePMj333//xdLN0Waf9u3bs2XLlnTnLVmyhG7duqFQKLI5V0IIIYQQQgghhEhPnjx51GJNfCk52jgxbtw4Dh8+nOH8pUuXkpycnI05EkIIIYQQQgghMiABMQEYMmQILi4uJCYmfrE0c/S1DiGEEEIIIYQQQvx/uX79OqdOneL48eOUKVMmzWAWu3fvznSa0jghhBBCCCGEEEJ8iv+DXg3ZoUCBAnTs2PGLpimNE0IIIYQQQgghhPhka9eu/eJpyjgoQgghhBBCCCHEp9DQzJ6/XCo5ORkXFxdq1apFlSpVGDt2LDExMV8kbQ3Fv3A4jKlTp+Z0FoQQQgghhBDiP2ny5Mk5nYWvJmnpmGz5Hq3BLtnyPZk1ffp0pkyZQuPGjcmbNy/Hjh2jW7durFmz5rPTzr1NMkIIIYQQQgghRG6iqZE9f7nUhg0bWLp0KceOHWPv3r0cOHCATZs2fZFRNv+1MSfarvry78D8W+wb0BeAntv+yeGc5E7/dOkJgN7sRTmck9wpduzPAHy/f2sO5yT3WtmmKwDDju/M4ZzkToubfAtA1T+X53BOcqdrP/0IyP7zIW/3odF3judwTnKnueWbAFI+GXlbPsNP7crhnOReCxspg9yNvn0sh3OSO82t0BSAIUe253BOcqe/mnfO6SyIr8jb25sWLVqoPjdu3BgNDQ18fX2xsbH5rLT/tY0TQgghhBBCCCHEF5WL40Fkh8TERPT09NSm5cmTh4SEhM9OWxonhBBCCCGEEEII8VEKhYI+ffqgq6urmhYbG8vAgQMxMDBQTdu9e3em05bGCSGEEEIIIYQQ4lNo5N54ENmhd+/eaab17Nnzi6QtjRNCCCGEEEIIIYT4qLVrv15sR2mcEEIIIYQQQgghPoXmfzvmxNckJSuEEEIIIYQQQogcJT0nhBBCCCGEEEKIT/EfjznxNUnPCSGEEEIIIYQQQuSoHG+cuHv3LjNmzGDp0qUEBwerzYuIiKBfv345lDMhhBBCCCGEEOIdGprZ8/cflKNbffz4capWrcrWrVtxcXGhRIkSuLq6qubHxMSwfv36HMyhEEIIIYQQQgghvrYcbZyYMmUKo0eP5sGDB3h6evLrr7/Spk0bjh49mpPZEkIIIYQQQgghRDbK0YCYbm5ubNy4EQANDQ1+/fVXbGxs+Pbbb9m6dStVqlTJyewJIYQQQgghhBCpJCDmV5OjjRO6urqEhYWpTevevTuampp06dKFefPm5UzGhBBCCCGEEEIIkW1ytHGifPnyuLq6UqlSJbXpXbt2RaFQ0Lt37xzKmRBCCCGEEEII8R7N/2awyuyQo40TgwYN4ty5c+nO69atGwqFgpUrV2ZzroQQQgghhBBCCJGdcrRxon379rRv3z7D+d27d6d79+7ZmCMhhBBCCCGEECIDEnPiq8nRxoncoGCvnpj26oGOjQ0AsU+e4r9wMZH/Y+++w6MoHgaOf3f3WjqQ0HvvvUkXRKUIiohUqQLSe+9dkC5NUERQEBEBFQSRjiAo0ntJAQKEhPRybff9Y8OFMwmgEsLvdT7Pc49md3Z2bpjZ3Zudsn8/APlmzcSnXh2MOXOixscTf+JPQmd+iPX69aeKP9/MGQS815Hbk6dy/7PVbvt8GzUk5+BBeJQuhZpkJf7YMQLf7wWAksWPAvPn4V27FtbAIG4OH0ni+fOuY/NOn4otJIT7Kz99BrnweL5tO+Dbrj3GvHoe2a5dJXL5EhIO6b1efNq0xad5C8xlyiJ7exNYswpqbOy/ihMgz5ov8ahR0+246I0bCJ8yEQDZz48cM+fgUbMm9uBgwsaPwXbxgitswPhJ2G/dJHqNe75ntJrDB/HytEn8sWQFe0aMxZI1C3UnjKbQKw3xzZ+PxPAIrvywnUNTZmKLST+f6owbRek2rfDJlxfVZufuyVMcnDyDO7+fAMC3QH7qjBlBgZfr4ZUzB3F37nJhwyaOzJ6Hare7wrzx2XJyVq7IvZOn+bFHH2JCbrrO0XrzBs6uW8+VrT9kWH54d+uJpeGrGAoVQbMmYTtzkpjF83AGB7nCKPny4zt4JKZKVZCMJqxHDxE9Zwbqg4h045U8PfHpMwhLw8YoWbNhv3yR6LkzsV84lxLGwxPfAUOxvPwKsl8WHKG3iP/6SxI2b3SF8R0yCs8Wb6ElJhKzZD6JP/3o2mdp/Dqezd/kwZC+zzZTHmF5rwfGBo1RChZGsybhOHuaxOULUEOCUr5HNn88+g3DWL0WkqcnzpAgktauwr7/l6c6h7lTDzz7DCbpm3UkLprjtk8pWxGP3gMwlCkPqorj6mXihvQGmxWMRjxHT8FUryFqRDgJ82bg+OO3lHg7dEXOmZvEBbOeSV6kp0C3zuTv2hnPAvkBiL10mWtzFxC+Zx8e+fPx8snjaR53snsv7n7/Y6rtksFAibGjyN64ER4FC+KIjSHiwCEuT5uJ9e49ADzy56PosCH416uDOUd2rHfvcfvb77g+fxFacv3yyJ+PCssW41uhAjFnznCm70ASb95ynafq+i+4tX4j937c8ayzxE1mliHvj1djrOI+ebV16zckfDRNP6+PL57jZ2CsUgPnrWASZk7EefWSK6zH0HGooTexfr32X+TA4xnffg/lpQbI+QqCzYrz0llsa5ejhYa4wlimfYxSrorbcfZdW7Gt+CjdeL22/JrmdtsXS7FvXQ+AXKQEpvf6Ihcvpdevo/uxff4xJCXqgb19MA8cj1KuCuqdW9iWzEQNvOqKy9RrKOrdUBzff/1Pv/5Tyag8wuKB6b0+KDXqIfn4oYWFYt/+LY5dW11BDK+2xFD/VeQiJZE8vYjv+DokxKXEYTBi7jcapUY9tKgIrJ/MQz3zR0ra3+qAFJAT26cL/nU+pMfcsQeG+q8k1zErznOnSFqxEPVmkCuMlM0fS5+hGKrVQvL0Qr0ZRNK6VTgOpF/HlIpVMbfrilKyNHJADuLHDsJxeF/q83fvi6lFayRvH5xnT5E4fzrqreR/G6MRj5GTMdZtiPognMT5M3CeOOY61tSuK3LOXCQt+vCZ5cdfGVu/h/LSy8j5CoDVhvPyWWxfLHMrPwByyXKYOvZGLlEGVBU18CpJUwaDzZZu3Iamb2Ns1REpSzbUoGvYVs1HvXrRtd8yfUnqcrlzS0q59PbBPGhCSh37eCZq4BVXWFOvYaj3QnFs2/DvM+IxPDq/j+nlV1EKFgZrEvazp0hYOh/nI9dpOW9+vAYMx1ixCphM2I8eJm7+TLTHPAsZKlXFs1N3lJJlULLnIGbkAGwH96YK59mzP5Y330Hy9sF+9iRxc6ai3kwpQ95jp2Kq3wgtIpy4j6Zh/z3lXu/RsRtyrtzEz5v5zPJDENKT6QNmli1bRuPGjXn33XfZs2eP277w8HCKFCmSoee337lD6KzZXG7WgivNWxJ75AiFP1uJpURxABLPniVk2AguNWzM9U6dQYKiX619qrFGfk1ex6tKZWx376be17QJBRYt4ME3m7j8WlOuvt2ayK3bXPtzDuiP4u3NlaZvEPfbb+Sfk/Lw71m5Ml6VK3H/0+fzo9tx7y4PFszlVpu3uNWmFYnHjpJryXKMxYoBIFs8SDh8kMiVy59ZnA/FfPM1QfVruT4Rc1MeirP27oPs5cWt1m+RePwY2adMd+0zV6iEuUJFoteu+Xdf/m/KVbUylXp0JexMyg9k79y58c6dm31jJrK6ah229+xHkVdfodmKjx8b14Nr19g9ZBSrq9Xlq1eaER18k7Y/bMYjwB8A/5IlkGSZXf2H8lmV2uwdOY5K73elwdQJrjgazZ5ObOgd1tRsQNzdezT6cJprX6l3WqGpaoY2TACYqlQnftN6wru2I6JvDySDEf+lnyFZPACQLB74L/0UNI2ID7oS3qMDGI1kW7DssS3TWSZMx1yzNlETRhHW9k2sv/2K//LVyNlzuML4Dh2FuXZdIieMJOyd5sSvX4vfyPGY6zcEwFzvZTyaNCei3/vELJ5LlvHTkLNk0dPl7Y1v38FEz56W1umfGUOlali/+5qYXh2JG9wLyWDAe8EnkJw/AF4TZqIUKETcqAHEdG6N/cAevKbORSle6onxK6XKYn7zHRxXL6feV7YiPvOXYz9+lJieHYh5vz3WzRtAUwEwv9kGQ8kyxPTuhPX7b/GanPJwK+fOi7lFaxI/WfwMcuHxkkLvcGXaTH59pQm/Nm5KxKFfqbruc7xLliDxdih7ylR0+1z98CMccXHc35P6AQ1A8fDAt0J5rs1byJFXXudkl/fxKlaUql+ucYXxKl4MSZY5P2wUh+o25OKEyRTo8h4lxo9xhSk1dRJJd+7ya8NXsd4Lo1RywylArrdaoqlahjdMQOaWIQDrtm+JavGy65OwdL5rn6VLLyRPL2K6v4vj5B94jp6cEm/ZChjKlsf6zZf//Ms/BblsJRw/fUfiqF4kTR4MigHLpAVgtriFs/+8jYRuLVwf2xdLHxvvo2ETurXA+vEMtOQGCAApawCWyYtQ794icWQvkqYORc5fGPOAca44TO90QfLwJHF4d9RzJzH1HZ2S7hJlkYuXxfHjN88sL9KTUXlk6jYApXJNrAunkjigA/YfvsHUcwhK9bopgcwWnCePYd+cdgOV4bU3kYuWJHF0b+w/f49l6GTXPilHbgyvtsD21Sf/8Js/HaVSNWxbvibug07ED+0FBgNe81a41TGPcTOQCxQiYexAYru+jf3gL3hO/khvmEqHZPHAef0yiQvS/9Fn6tANc+sOJM6bRlzvjmhJiXjNXQEmk76/xTsoJcsQ1+c9bD9sxnPi7JT4c+fF1OJtklY9/nnj35LLVsbx02a9nE8epJefyQvdyo9cshyWifNxnjpO4oj3SRzeA/uOb0HV0o1XqfMKpu4DsX+9msSh3VCDrunl0i+rWzj7z9tI6PqG6/NouTS16arXsWHdUM/9ianfqJQ0lSiLXKIMjh82ktGMlauTtHkD0e+3J3pgTySDAd9Fq1LKkMUDv0UrAY3o/t2J7tUJjEZ8P1r62GchycMDx9XLxM+dnm4Yj/d6YHm3I3GzpxD1fnu0xET8Fq50lSHLW20wlCpL9PsdSNq6CZ8pKc/acu68WN58h4Tli55JPvy/IcnP5/MflKnfevHixYwYMYJSpUphNptp1qwZs2al/Ah3Op0EBwdnaBpiftlD7L792IKCsAYGcnfOXNSEBDwrVwYgYv0G4o8dx3brFonnznNnzjxMefNiyp/vsfEac+Uk79TJBA8cBHaH+05FIe+USYROn0nEl19hDQzEevUaUT9udwWxFCtG5Pc/YA0MJOKr9Zgf/mg3GMg/awY3x4wDVX2WWZGuhP17STh4AHtwMPbgIB4sWoCakIClQiUAotetIerTlSSdPvXM4nxITUrCGR7u+mjxKW9TjEWKEvfTduzBQcRs2oipSFF9h8FA9slT9R4WzymPAIxeXrT4/BN29h1M0iOr0IRfuMjW9l24vmMXUYFBhBw4xMHJMyja7HUkRUk3vosbNxO87wDRQcGEX7zE3lHjMfv5kqNcWQACd+9hR+/+BO3ZR3RQMNe27+T4oqWUePMNVxz+JUtw7suvibx+g3PrNuBfsgQAZj9f6k0ay+4hIzMmMx7xYEAvEn/YiuPGNRxXLxM1aQyG3Hkwlta/h6lSZZTceYmaPAbHtas4rl0latIYjGXKYar+UtqRms1YGr1KzOK52E7+gfNWCLErl+K4GYLXO+1dwUwVKpPw4zZsJ37HeSeUhC2bsF+9jKlsBQCMhYtiO/E79ovnSdy1AzU+DiWPXrd9Bw4n/tuvcd69k6H5EzesD7Yd21ADr+O8doX4GeNRcuXBULKMK4yhXCWs367HefEcaugtkr5YiRYXi1KqzGNiBjw88Jr0IQmzp6DFxqTa7TloBEnfrsf65WeogddRQ4Kw790FyT0D5IKFsR/ejxp4Hevmr5Gz+iNl0R8KPYePJ3H5AkiIf3aZkY6wXbu5/8teEm4EknD9BldnzsYRH0+WalVBVbGF3Xf75GzWlDtbf8AZn5BmfI7YWH5/px13t/1A/LXrRJ34kwujx+FXqSKWvHkBCN+7n7MDhxC+/wCJwSGE7fyZwGUryNW8qSse7xLFuf31NyTcCOTWho14JTdqG3x9KTF2JBdGjs3wvIHMLUMAmjUR7UGE6/NomVAKFcG25yfUm8FYt23S3xoCKAY8R0wg4aOpGX6dtk4bhmPfDrSbgahB17B+PAM5Ry7koiX/EtCKFvXA9SEx7fLz0KNhtagHKDXqoZ77E+1eKABKtdrgdGBbOQ8tNAT12iWsKz7CULshUi69nEn5CuE4vAct9Cb23dv0ngsAioLpgxH629/ncB/LqDxSSpXHse8n1PMn0e7fxbH7e9Sga8jFS7vCOH78Bvt3X+K8fD7NOOR8BXH8fhjtZiCOnzYj+WUF3ywAmHoPx7Z2+RPT8W8ljOiDfef3qEHXUa9fIXHmBORceVAerWNlK2HbvAHnxXNod25jXbtKr2Ml0q9jjmOHsX66BMehtBtSAcxtOuk9MA7vR71xlYQZ45D8s2Os2wgAuWAR7L/uRw26ju27r5GzZtPzCPAYOp6kFQsz/DptnToUx95Hys/i6cnlJ6VhxtR9IPbtm7B/tw7tZiBaaAjOX/eCw55uvMY32+H4+Xsce7ej3QrCtnwOmtWK8ZU33ANak9Itl1K+gjgO/aLXsZ+3IecrpO9QFEx9RmBb/nzqWMyQ3li3b8UZeB3ntcvEThuHkjsPhuRrsLFCZeTceYmbOg7n9as4r18lbupYDKXLYqxWM9147UcPk/DJYmwH9qQbxqPteyR+/gm2Q/twXrtC3JQxyAE5MNV/BQClUFF9X+B1EjdvQM6Wcq/3HjmR+KXz0Z7DvV4QIJMbJz755BNWrVrFkiVLWLduHfv27WPBggVMnDjxyQdnBFkmS8sWyB4exP/5Z+rdHh5ka9sGa3AI9tDH/GCRJAosXEDYipUkXbmaardn+XKYcucGTaPET9sp+8dxiqxdgyX5hyNA4oWLeNeuBYqCb4MGJF3Uu8Hm7NObuKO/kXjm7L//vv+ELOPdtDmyh+ffaoz4p3H6vNGSQr8eI/+27WQbMgzJktIKb7t8CY+aL4Gi4FmnHrYr+lu9LD16knj8GNbz53ieXl04h+s7dxO878ATw5p9fbHFxKI5nU8Vt2w0UqlHF5Kiogk7m/73Mvv6kPgg0vV32NlzFGrUACSJQo0bEnZOf/hrOHMqJz/5jNhbt5/q/M+S5O0DgBoTrW8wmkDT0B7p1qlZraCqmCtVSSsKJEVBMhj0cI/QrEmYHjnGduYklvoNXb0pTNVqYChQCOtvends+9VLGMuURfLxxViqDJLZguNmCKZKVTCWKkP81+ue2fd+WpKXN/BI/gCOc6cwvtIEyccXJEn/f5MJx5+/PzYuz2HjsB895DYUw3WeLNkwlK2IFvkAnxXr8PthP95LPkepUNkVxnntCoYKlcFkxlizDmp4GFpUJKbXmqPZbNjT6Dqa4WSZ3K3exODpSdTvf6Ta7VuxPL4VynHrq7/XRdfg46u/9Y6OfkwYH+yPNDzGnL+Af4P6IEkENGxA7AW9q3GpKRMI+WwNSaGhfysNz8rzKkMPmV5tjt/2g/iu+w7LB4Pc3pY6rl3GWKUmKArGmnVwXtfviZaO3XCc/B3npQvpRZthJE8vALQ498YWQ/1X8fxiOx6L1mHs9AGYzE8fqV9WlKq1sf/yyDAiownNYQftkTfDNv2apZSuCIAadA2lfBWQFZRKNVGD9SGjxlYdUc+dRL2eMgTmeXpWeeS8dBalel2kbAEAyOWqIOcpgPNU2kOx0qIGXUMpXQFMJj2PHoRDTBRK/dfAbsN5LO2J1TOS5K3XMe3ROnb+FMZGr6fUsUZNkExmnKceX8cee57ceZH9s7vXv/g4nBfPopRLLkPXL2Mor1+nDTVq69fp6EiMrzYDm/WxDR8ZJVX58cuKUrIcWnQklg8/wXPNj1imL0UuXSH9SAwG5KIlcT4yhAdNw3n6d+SS5dyD1n8Nz7U78Fj0ZapyqQZeQ6lQVa9jlWuiBj2sY50yt44lPws9LEOSKflZyP7Is5BNfxYyVkz7WehpyHnyIQdkx/bIMA0tPg7H+TMYy+tlyHn1kn4OsxlTzTo47+v3evPrzdFs1sc2fPxnydLz+fwHZeqcE4GBgdSuXdv1d+3atdm7dy+NGzfGbrczePDg55IOS6mSFN/6HbLZjBqfQGDP3livXnPt9+/ciTxjx6B4eZF07TrXO3ZyjTlOS46+fdCcDsJXf57mflOBAgDkGjKI21OnY7t1ixy9elLsm6+52KAhzqho7i1bTv6Z0ylz+AC2W7cJGTESU6FCZH2nNVfffJt8M2fgU78eCWfOcHPUmCfO8fBvmYqXIO+Gb5BMZtSEBO4O7Iv9+rUnH/gv4ozd/gOO0Ns4w8IwlSyF/9ARGAsV4d6gfgBErfqEgIlTKbBrD47btwmbMBZjwYL4vNmK2+3fJWDSVDxr18V6/iz3J45DjYtLLyn/Wuk2b5OrUkW+qPvKE8N6+Gej9pjhnFr9xRPDFm36Gi3XforR05O4u3fZ+MbbJEY8SDNsliKFqdqnF/vGpDTu7Rszkdc/nk+fy6cJO3ueXQOGkq9OLXJULMf+8ZN588vV5KpSicBf9vHLsNGuuSoyjCThN3wM1lMncCT/SLGfPY2WlIjvwOHELl0ASPgMGIpkMCAHZE8zGi0hAdvpk/i834fIwOuoDyLweL05pvKVcD4cQwlEz5lOlvFTybXzgP4jQdWImj4R20n9Ycd69FcSd/xA9nXfoFmtRE0eo3d3HDOJqElj8HynHd5tO6FGRRI1YxKOG/+uzD9N/ngMGoXj9J+ogSnnip8wHK+pH5Fl56/690hKIm7sYNTbN9ONyvhKEwwlyhDzfrs098vJ871Yuvchcck8nFcvYWraEp9FnxLzXivUWyHYftyCUrQEvl9tRYuOIm7CcCQfXyzv9yO2fzcsPQdgatwE9fZN4mdORAsPe7b58Qjv0qWo9dMPyBYzzvh4/uzSg7g0Gn/zdWxP3OUraTZcpEc2myk5aRx3vtuKI53rhGfhQhTs2Z1Lk6a6tl2aOJVy82fz8snjxF64wLmho8haqyY+5cpyecoMKn26Ar9KFQnff4ALYyY89r7xzDzHMgRg270D9W4oavh9DMVK4NFnCEqBQsSPHQJA0rrP8Bo+Ad9vdqDeCSV+1kTkfAUwNW1JbO9OeI6YgKF6bZyXzhM/ezLEZ9x1GgBJwtRjEM6Lp9FCAl2bHQd3o92/i/ogHLlQMUzv9UHOWwDr7Kfr/WJs2BQSE3D+ltI47Tx7AlO3ARjf6oD9x2/ArM+/ACBl1Yfn2b9bh7n3cDyWf4N2/w7WJbOQcufD0LApiaN7Y/pgBErF6qjXL2FdNvu59FR6lnlkW7UAU99ReH62Dc3hAE3Ftmw26oXTT50cx54fkQsVxWPxV2gx0VjnTgBvH0zt3ydpfH+MHXpiqNsY9e5tbEtmoj0I/1df/4kkCcuAkTjOuNexhEkj8Jw8B9/th111LGH84+vYk8j+eqOOFuk+54D6IAIpm16GbNu3Ihctgc+6rahRkSRMGoHk44u5ez/iB3XH/H5/jI2aoIbeJPHDSRl6nQaSy89gnBdOo4Xc0L9HzjwAmNr2wLZmCWrgVQwNm2CZupjEgZ3Q7txKHY1PFiTFoPeEeIQW/SClhxHJ5TLsLmrkfeSCxTB17utWLu3frcP8wQg8VmxCC7uDdcnMR+pYL72OVaqh17GlHz63OuY9eBT203/iTH6usJ/Tn4W8+g0jfvlCkCS8+g1BMhiQ/NN+FnoaD8uQ+pd6oT6IcO1L+mELSrGSZN3wPWpUFLHjhyH5+uHZsz/Rfbvh2Xsg5sZNcd6+SdyM8aj3M7gMCf9pmdo4ERAQwM2bNylUqJBrW7ly5di7dy+NGjUi9CneOlmtVqx/eXvqcDjSCZ1OHNdvcLlJMxQfH7I0a0bBBfO42qatq4Eicss2Yg8expgzBzl696TQsqVcffudVG9tATzKlyN7925cbtY8/RMmt4Td+3gp0T/tBCBk2AjKHj9KlubNifhqPWpsLMEDBrkdVvTr9YTOmEXWVm9hKpifiy83osCcD8k1eCCh02b8re/8d9mCArn5dktkbx+8X29CjplzuN2l479qoHhSnLGbUsYA2q5ewXk/jDyfryMifwEcN0NQ4+IIGznULc48q9cSMXc2Pi1aYsyXn5Dmr5F9ygyy9u1PxJyMmQzKJ19eXvloJhvfeBtnGmXiUSYfH97ZspGIi5f5dfrsx4YFCDlwmM9rNsAzwJ+K3Trz5perWVf/VRLuu99kvPPk5t3vN3Hpu22c/jxl3G5c6B02t04Z5qCYTLz7/bds79mX2qOHY4uNY1WFGrT5fhOV3u/Kn8szdulev9ETMRQtTniPjq5talQkkaMG4zdmEl7tOoGqkrhrB7aL593fOP5F5MRRZJk4g1y7DqI5HNgvXSBx13bXcBEAr3adMJWrSMTgPjjvhGKqUg2/URNw3g/DdvwoALErlxK7MmV8qnfPvliPHUVzOPDp8QH3276Jud7LZJn6IeGd3smAXEnhOWwcSpFixPbp4rbd0rM/krcPsQPf19+I1WuE19S5xPbtinoj9Q90KUdOPAePJm5wr/QnGksew2rdtgnbjq0AJF69hKFqTUxvtCJpxSJwOkicP4PER9M4dhrWTV9hKFEaU/2GxHR5B0vHbngOGU38uKGpz/OMxF+7zq8NX8Xg60OuFm9QYckijrV8262BQrZYyNO6FdfmLXzqeCWDgUqffQKSxPnho9MMY86Vi2obv+Lu9z9ya91613br3buc6JDybyWbTJTdtJ4z/QdRdNggHHHxHHypHtW++YoCXd4j+DnME/RcyxBg+/7blP+/cRU1/D4+H39GYt58qLdvQXwc8VNGuR3jvfhTEpfOx/Rac+Q8+Yhp3wLP0ZPx6PYBiUvm/ssceDxTr2HIBYqQNLaP23bH7u9d/+8MuYE1MhyPqR9jy5UX7e6Te5gZXnkDx8Gf4dG3njcDsS6erjdQdOoNqop9+7eokRGueV1IiMe6YIpbXJapi7F9sRRD/deQc+YhsX97TH1HY3q3G7Y1S/7Ft386zzKPDM3fQSlRlqQZI1Hv30UpU0mfgPBBuNuklo/ldGJbOd9tk6n/WOzbNyEXKYGhZn0Sh3TB2KojpveHYJ0zLp2Ing3LkHEohYsR17+r+/Ye/ZC8fYkb3NNVxzwnf0TcgG5p1rFnxukgacFMkh7Z5DF6KrbN61GKl8ZYtxFx3dtgbt8Nj0GjSZiQcddpSC4/BYuQNOaDlI3J9xv7z1tx7NWHMNsCr6BUqIbhlTewf7niH5/P8XPKfG3O4BtYIyPwmPZIuUyIxzp/stsxlqkfJ9ex15Fz5SWxXztM/UZjattdn7A2g3mNGI9StDjRvd5zbdOiIokdOxTvkROwvNsRVBXr7h04Lp1PuV5kFKeD+LnTebRZxnv8dBK/+QpDydKY6jci8r238ezUHa+hY4kdMzhj0/O/4D86H8TzkKk5W7duXb777rtU28uUKcOePXv46aefnhjHrFmz8PPzc/scOnTob6VDs9uxBQWTePYcd2bPIfHCRbJ37+7ar8bGYgsKIv7YcYJ698VcrCh+TV5PMy7vGjUwBPhT9rcjVAy8RsXAa5jy5yPPhHGUOXIYAMe9+wAkXU25WWk2G9aQmxjz5kkz3mzvtsEZE0PMz7vxrvUS0bt+BoeDqB+34/1SOuPynyW7HUdICLYL53mwYB7Wyxfxe6/Lk497hnEmndHftBiTe578lU+r1jhjY0nYuwdL9ZrE79kNDgfxu37Co3r64/X+rVyVK+KVMwddj+5nRGwYI2LDKFC/LlX79mJEbBhS8uSpJm9v3v1+E7bYWL5r+x7qUzSi2RMSiLoRSOjxP/ipz0BUh4MKXTq5hfHOnYv2O7dx+7fj7Ow3+LHx1Ro5lKA9+7h38jT569Xh8tbvUR0Ormz7kQL16z722H/Lb+R4LHUbENG7C2rYPbd91t+OEPbm69x7tQ53X6lN1MRRKNlz4LiV/hsn562bRPTqzJ06VbjXvBHhXdoiGYw4bye/gTGb8e03mOgFs7Ee2o/j2hUSvllP4u6f8H6vW5pxGgoVxrNZS2KXL8ZcrQa2k3+gRkWStHsnptJlkTw9n1V2pOIxdCzG2g2IG9AD7X5K/sh582F5pwPxsybiOHEM57UrJH2+AuelC1hap/1G21CyLHI2f3xWbyTLgZNkOXASY5XqmN/pSJYDJ0GW0SL0Bi418IbbsWrwDeScudOOt0p1lMJFsW7egKFydexHD0FSIra9uzBUrp7mMc+KZreTEBhEzOmzXJk+i5jzFyjY+323MLlaNEfx8CB046anivNhw4RHvrz83rpdmr0mzLlyUnPbJqJ+/4NzQ0Y8Nr4iQwYSvv8AMafPkq1Obe79uB3N4eDejz+RrU6tp/+y/9DzLkNpcVw4m3zOtK/TpmZvocXFYj+8D0OV6vrQIKfjuZQhU8+hKNVqkzRhAFrE/ceGVa/ow03k5LkhHkcuXVGfF+GX1JMLOw/tJrF7SxJ6vEVC52bYv/4MyTcL6r20X74YGjVDi4/DefwwSrkqOI4dBKcT55G9yOUqp3nMs/RM88hkwtSxN7bPF+P841e04Os4ftqM4/AejG+2T/uYpyCXq4JcoDCOHZtRylXGceIoWJNw/LoXJYPzyDJ4DMba9Ykb/L57HcuTT5+08sOJOP88hnr9CtY1K3BevoCpVdt/fD41+Tr9sKeN63zZ/NNdwUGpXB25cFFs323AUKkajt/067R93y6UStX+cVqehqnnUJTqdUga39+t/Dzs+fHo6iYA6q0g5Ow504xLi41CczqQsmRz2y75ZUOLTLsHKYB6RR++KudKe244Q6PmaPGxOI8f0svPwzr2677nUse8ho3DVKcB0X27od53fxayHz9C5DtNedC0Hg+a1NXnhsieU2/o/YceliE5eWjVQ3I2f9e+vzJWqYFSuBhJ367HWKU6tuR7vXXPzlSrMwnCs5apPSdGjx7NiRMn0txXtmxZ9u7dy+bNmx8bx5gxYxg61L0V+KOPPoLrQf88YbKMbDalvU+SkCQJ2ZT2/gebvyP28GG3bUW+XEvk5i08+EZ/YE44exY1yYq5SBHiH3Y9Nhgw5cuLPY05AJRs2cg5aCDXWutvbfXx9kb9/43Gx06qmFEkSUYyppNHGRSnuZQ+gZbzfuoHJjlrNrL26cftTvoDj6TIrjzCaIAMzKPgfQf5rGodt23NVn5MxOWrHJu3GE1VMfn48O4P3+K0Wtn8Tscn9rBIjyTLKOaUsZTeeXLTfuc27p48zY5e/R/b08C/ZAlKt23NmpoNAJAVBdmo55FiNCIpGddW6TdyPJaGjQnv1QVnaPpvIdXk8fym6jWRs/mT9BRzGmhJiWhJiXo31lp1iFmkv3mVDAa9PP11oiunM90fVn5jpxA9/0O0xASQFXhYhgzJl0o5Y8qRx9CxmOo3IrZ/d9Q7f8kfc/JM3n/9Hqoz3ZZ7+4nfiO7Uym2b17hpOIMDSfpytb6E253bqPfvIRcs5BZOzl8Q+2/u1zAATCY8h44jfspoPS2yDFLydchgeKoVjJ4lSU59Hc7XqT1hO3/Gls7QJ7fjkxsmvIoU5vhb72CPjEwVxpwrFzW3bSL69FnODBjy2PrlVbwYeVq/xa8vv5qcPhkpuX7JRkOGX6czowylRSmuT6CopfHQK2XJiqVb75ReHbLiqluSwQgZeA0y9RyKUrM+SRP6o4U9eZJbubA+uakamf4Sfg8ZGr+B89ol1KDH9CSM1suX4ZXm+jwJac1D4JsF47vdUnosyHLKtUcxZNj156FnnkeKQa8Df603qtPVaP+3GU2Yew3Ve5skX4ck9LfykpKx1yHL4DEY6zUiflAPtL/WsYcrLvzlDbemOpH+xRtW7c5t1Ij7GKrWxHYtebUcTy+U0uWxbU1jFReTCY8hY0mYNkbPH0VJWenBYPjn+f4UTD2HorzUgKTx/VKVHy3sDmrEfeS8BXh0pi0pTwGcfx5NO0KHA/X6ZZQKVVPmFZEklArVcOxI/7dBSrlM44e3bxaMbbul9OqQFb1ugV7XMvg+5jVsHKYGrxDdr2vq6/QjtOgoAIxVayJlzYbtUOrlZZ+WGnoLNfw+puo1SUxexlny9MJQtgKJ36WxSonJhNeI8cROGpmqjmEwPvd7/QvrMSuoCP9OpjZOVKhQgQoV0p8Mp1y5cpQrVy7d/QBmsxmz2X1CJoPh6b9W7lEjidm/H/vtUGRvL7K++SbetV7ieqfOmArkJ0uLFsQePIgj4gHG3LnI2a8PalISMXtTLhSl9u3hzuw5RO/chTMqCucjE6YBYHfguH8f6w39DaUaF0fEl1+Ra9gQ7HfuYLt1mxwf9AIgavt2/irv5IncX7kK+129hTX+9z/I1roVsQcP4t+hPXF/PP3Y6n8i25BhJBw8iONOKLKXF95vtMBSoyaRPfXeJUpAAEpAdowF9DGAphIlUePjcdwJRU2eXC736i+I/2U3Meu/fKo4DfkL4NO8BfEH96NGRWEqWZKAUeNI/P24a+LLRwWMGUfUmtU4k9/IJ/35J94t3yThyGF827Ql6c+0G8GeBVtcHOEXLrpts8cnkPQgkvALFzH5+ND2x80YPDz4sVtvzL4+mH31iZAS7oejJT/kv3/qNw5MnMbV77dj9PSk1qihXNu+k7i7d/Hw96dK7/fxyZOby9/pXRi98+Sm/a7viQm5yb4xE/HMntIqHn8v9XjA15cuYO/IcdgT9Fmsbx09RsVunYm8ep2yHdpycVPqXkzPgt/oiXg0ac6Dof3REuJTxj/GxUJyI41Hi1Y4Am+gRj3AVL4SfsPHEr/+C5zBQa54/JevJnHfLyR8o3erN9eqA0g4ggMx5C+I76DhOIICSfhhCwBafDzWP47jO2gE0dYkfVhH1ep4Nn+T6AWph9R4tmqDGvkA66H9ANhO/4lP734Yy1XEUqce9uvX0OKe/dwuHsPGYXq1GfGjB6ElxLvGEWtxcWCzogYH4rwZjOfISSQumYsWE4WxXiMM1WsRN7K/Kx7vRauwH9yrLwWakOA2FhpAS0xEi4ly2560fg0ePfrivHpZn3Oi2ZsoBQsTPz51t19L197Yjx7Cmfxw4zh7Co9+Q7Ft34q5dXucZ08987x5qMT4Mdzfs5ekW7dRvL3J07oV2erU5vc2HVxhPAsXIlutl/ijXac046h39CBXps3k3o6dSAYDlT9fhW+F8pzo0FmftT2HPqbXHhmFZrfrDRPff0vizdtcmjgVU0DKm0tbWOoG0nLzP+Li+Mk4E/RBMJHHfyf/ex2Iv3adPG3bcOe7rc8wR9xlVhmS8+bD9Gpz7EcPoUVHoRQrgcfAkdhP/oHz+pXU6Rw0CuvXa11j3h1nTmJq0gL78SP6UqVnTmVI/ph6DcNQ/1WSZo2GxATXm1gtIQ5sNqRceTHUexXniaNosdH6fArdB+I8fxIteYJKAI+P12P7coX7BIwenhhqN0x3uIWhaWvUy2fRkhJRKlbH1KUftnXLISGNXjrdB2Hf9rVrzgT14hkMDZrgPHUcw2tvol468wxzxV2G5FFiAs5zf2Lq0g+r1Yp2/y5K2coYXm6K7fOUJYilLNmQsvgj59bfdMsFi0JiAmr4XfjLNdf4blecJ46iBuo9T50Xz2Lq0g9p73YMzVrjvJgxk4VbhozD1Lgp8WMfU8duBeMxfCJJy+ahRUdhqNcIQ7VaJIxOqWNeC1ZhP7QH23dfJ2eYh1svIzl3XuRiJdFiotHC9GXorZu+xNK5F+qtENQ7t7H06IcWcR/74dSN9+bOvXH8dhg1+TrtPHsSS5+h2HZsxfx2exznTmVI/ph6D9fLz8xRaZYfAPvWrzC1ex818Bpq4BUMjZoh5y3oNgzHMnUxjt8OuBof7Nu+xjxoPOq1SzivXsDYoi2SxYJ9jz7xrJQrL4b6j5TLgsX0+VLOuZdLV/70GIR924aUOnbpDIaXX8d56hiG11qiZlD5AfAaMQHza82IGTkALT7BNUmsFp/yLGRu/hbOoBuoUZEYy1fEa8gYkr5eizMkyBWP78efYTuwh6Rvk4cYenii5HukDOXJh1K8FFpMNOo9vZEoceM6PLr2xnkzBGfoLTx7DUAND8N2MPVEl57dP8B25CDOK3oZsp85iVf/4SRt34JHm/Y4zpzMiOwRBJdMbZx46Pjx4xw9epS7d/ULca5cuahVqxY1atTI8HMbAvwpuGA+hhzZccbGknTxEtc7dSbu0GEMOXPgXaM62Xt0Q/HzwxEeTtyx41x9qzWOiJQ3BZZiRVF8fP7WeW/PmInmdFBg4Xxki4WEk6e43q4Dzmj3mbF9GtTHXKgQIYOGuLbdX/MFHhXKU+L7rSScOs29BRm79rCSzZ8cH87BkD0Hamws1iuXuNOzO4lH9RUPfNu2J1u/ga7wedfps+SHjR1F7Fb9B68xfwGUrFmfOk7NbsOjVm38OutrwDvu3iFu9y4iVyxLlT6POnUxFihI2Kjhrm3R69dhLleOfF9/S9LZ00Quy/gxhOnJWakCeWroXSl7X3BfBWZ5yYrEhOhDF/xLlsDs6wuA6nSSrWRx3urUDg9/fxIfPODuHyf5qnFzwpNXbinU6GWyFStKtmJF6XfdfQm22R7u3SAr9uhCQth9rv/0s2vbrzNm02LNSt47uJvA3Xv4c8Wnz/aLJ/Nqo/dmCVjlvoZ95OQxJP6wFdCHU/j2H4Ls54czNJTY1SuI/8p9wlAlXwGULCllSPL2wbf/EJQcuVBjokna8zMxyxbCI8NlIscOw7f/ELJO/wjZ1w/H3VBili0k4duv3eKWs/nj3b034d1Suhrbz58l7ss1+C9agTMygqhJY55FdqRieVvvVu+z1H0C3fgZ47Ht2AZOB3HD++LRZzDec5YgeXjgvHWThOnjcBxNGcIm582P5Jflb53b+s2XYDLjOXAkkq8vzmtXiB3cK1UXUrlwMUyNXiemaxvXNvu+nzFUrobPsjU4Q4KInzzqr9E/M6aAACosXYwlZw7sMbHEXrjI7206EHEg5Udivg7tSAq9Q3g6q+V4Fy+GIbl+WXLnImdTfWhe3QO/uIU79mZrHvx6lICX6+NVpAheRYrQ6Jx7vf0pwH34Xf4unbDdv8/9n1PiujZnHhU/WUbtn7dzf88+gj9b84+//5NkVhnS7HYM1V7C/G4nJIsHathd7Pt3k7hmZaqwhhq1UfLmJ2FqSj2ybt6AoVRZfFetx3HhHEmrl//Nb/50jE3fBsBj+lK37dbFM3Ds2wF2O0rFahhbvAtmC1p4GI6j+7FvWuMWXs5XEMnT2/171W0MkoTj0O40zy0XL42pfQ+weKDeCsa2fA6OA7tShVMq1UDKnRfHopQJV+07NiMXK4XH7FWoVy9g3Zhxc5ZkVB5Z503C2OkDzEMmIXn7ot2/i239Jzh2bXWFMbz+FqZ2PVx/e8xc5n7uZFKBwhhqNyJxaFfXNufRfTjLVcZjxjLU0JBUcws8K+bkoRneH7vXsYSZ47Hv/B6cDhJG9sPSezCesz5G8vBEvR1C4szxOB7piSbnyeda5hNAKVkW78Up/64eA/TlvW0/bSNx1gT9/9d/jmTxwGP4RCRvH5xnTxI/vE+quWDkwsUwNnqNuO7vurbZ9+9GqVQd7yVrcN4MInFq2vPq/Fuu8jPD/RnNung6jr36v6Hjh2+QjGZMPQYiefuiBl0jafIgt/lKpFx5kZKXiQVw/roHm18WjO17YsqaDTXwKklThrp6IuGwo1SojvGNtmB5WC73Yf9mTao0KpVqIuXOh2PhI3Vs+7d6HZvzaYbXMY/kIXRZlrs/28ROG4d1+1Y9jQUL49V3CJKvH+qd2ySsWUnShr8+C+VHzpLF9bexdFn8lq1x/e09WL8XJ23fStw0veEncd1nSBYPvEdPRvL2wX7mT6IH905VhpQixTC/0oTI91q7ttn2/oyxSg38VqzFGRyk96gQxJwTGUjStMf0U81gYWFhvP322xw5coQCBQqQM6c+7uzevXuEhIRQp04dNm/eTI4cOf5WvFOmTOHNT9NeKUOAbe/r4+07bfwyk1PyYvqyrf7m1fJhxjb6/K9KGq1P1Nrz+6+fEPK/a1VL/SFk4M/fPiHkf9Pi1/QhajU+/iSTU/JiOj6gNyDKz+M8LEPDT/38hJD/TXMrvQaI/EnPw/wZvOfxQ4f/yxa+ov9AHX4ydWOaAHMr6w3c/X5KY3iNwNKm7zJp0qTMTkaGcX6dsZM3P6S0G/7kQP/PZGqzT9++fVFVlYsXLxIUFMSxY8c4duwYQUFBXLx4EVVV6devX2YmURAEQRAEQRAEQRB0svR8Pv9BmTqsY9euXRw8eJCSJUum2leyZEkWL17Myy+//PwTJgiCIAiCIAiCIAjCc5OpjRNms5mYmJh098fGxqaa7FIQBEEQBEEQBEEQMoVYrSPDZOqwjrZt29KlSxe2bNni1kgRExPDli1b6NatG+3b//O1sAVBEARBEARBEARBePFlas+J+fPno6oq7dq1w+FwYEpes95ms2EwGOjRowdz5z6fCUcEQRAEQRAEQRAEQcgcmT6sY/ny5cyePZsTJ064LSVatWpVfJOXfRMEQRAEQRAEQRCETCeWEs0wmdo48ZCvry8NGzbM7GQIgiAIgiAIgiAIgpAJMr3ZJzExkcOHD3PhwoVU+5KSkli7dm0mpEoQBEEQBEEQBEEQ/kIsJZphMrVx4sqVK5QuXZr69etTvnx5GjRoQGhoqGt/dHQ03bp1y8QUCoIgCIIgCIIgCIKQ0TK1cWLUqFGUK1eOsLAwLl++jI+PD3Xr1iUkJCQzkyUIgiAIgiAIgiAIqUny8/n8B2Xqtz5y5AizZs0iICCAYsWK8cMPP/D6669Tr149bty4kZlJEwRBEARBEARBEAThOcnUxonExEQMhpQ5OSVJYvny5bRo0YIGDRpw5cqVTEydIAiCIAiCIAiCIDxCkp7P5z8oU1frKFWqFH/88QelS5d2275kyRIAWrZsmRnJEgRBEARBEARBEAThOcrUnhOtWrViw4YNae5bsmQJ7du3R9O055wqQRAEQRAEQRAEQUiDmHMiw2Tqtx4zZgw7duxId/+yZctQVfU5pkgQBEEQBEEQBEEQhOctU4d1CIIgCIIgCIIgCML/DPm/OR/E8/Df7C8iCIIgCIIgCIIgCMILQ/ScEARBEARBEARBEISn8R+dD+J5EDkrCIIgCIIgCIIgCEKmkrT/h8thTJkyJbOTIAiCIAiCIAiC8J80adKkzE5ChnFuX/lczqM07/VczvMiET0nBEEQBEEQBEEQBEHIVP9v55wYevTHzE7CC2t+rTcAGH5iZyan5MU0t2oTAFqt/jyTU/Ji2tK9GwAjL+3N5JS8uOaUagTAqGsHMjklL6bZxRoA0O7LtZmckhfT1506AzDy/C+ZnJIX15yyjQEYd//3TE7Ji2lG9uoA9Prh60xOyYtpZYt2gKhjj/Owjo0JOpzJKXkxzSpUF4DOm77K5JS8mNa26ZjZSchYsni/n1FEzgqCIAiCIAiCIAiCkKlE44QgCIIgCIIgCIIgCJnq/+2wDkEQBEEQBEEQBEF4piQps1Pw/5boOSEIgiAIgiAIgiAIQqYSPScEQRAEQRAEQRAE4WlI4v1+RhE5KwiCIAiCIAiCIAhCphI9JwRBEARBEARBEAThaYg5JzKM6DkhCIIgCIIgCIIgCEKmyvTGiU8//ZQuXbrw+eefA7Bx40ZKly5NkSJFmDRpUianThAEQRAEQRAEQRCSyfLz+fwHZeqwjoULFzJ+/Hhef/11xo0bR2hoKAsWLGDIkCE4nU7mzZtH3rx56dWrV2YmUxAEQRAEQRAEQRCEDJSpjROffPIJK1eupEOHDpw8eZIaNWqwYsUKevToAUDevHlZvny5aJwQBEEQBEEQBEEQMp+YcyLDZGp/keDgYOrWrQtA5cqVURSFl156ybW/QYMGXL9+PbOSJwiCIAiCIAiCIAjCc5CpPSc8PT2Jj493/Z09e3a8vb3dwjgcjuedLEEQBEEQBEEQBEFITfpvzgfxPGRqzpYqVYozZ864/r558yYFCxZ0/X3p0iUKFSqUCSkTBEEQBEEQBEEQBOF5ydSeE7Nnz8bLyyvd/SEhIfTu3fs5pkgQBEEQBEEQBEEQ0iHmnMgwmdo4UadOncfu79u373NKiSAIgiAIgiAIgiAImSVTGydeBKa2XTHUaYicryCazYrzwhmsq5eg3Qp2CyeXLo+5Sx+UUuXA6cR54wqJ4waCzZp2xLKMqVMvjI2aIGX1R4sIx/7Lj9jWf+YK4rPz9zQPTfp0EfZvvwSjEcvg8Rheqo8WGUHS0jk4Tx53hTO+0wk5ey6sy+f++4xIh/Gdzii1GiDnLQg2K85LZ7F9sQztdohbOLlkOUzv9UYuURZUFTXwCkmThqSbP3LZShhbdUQuWhLZPztJM0bhPHbQPVCWrJi69EOpVAPJ2wfn+VPYPpmHdueWK4ip+0AMrzRHS0rEtnYZzgM/u/YpdRphaNgU6/QRzy5D0pCtUyf8O3XElC8fAElXrxK2aDGx+/cDkHfmTLzr1sGYMydqfDzxJ/7k7ocfYn3MZK++TV7Hv2NHPMqXx5A1K1eaNiPpwoV0wxf6Yg2+L79MUM9exPys54Hi50f++fPwqlULW1AQN0eMJOn8edcxeaZNxRYSQviqT59BLqTP8GZHlOr1kfIUAJsV9co57Bs+Qbtz0xXGNGEhSpnKbsc5ftmG/bP5j4/7ne4YGr0BXt6ol89iXz0f7e5t137z4q+Rs+d2O8a+4RMc368HQArIhbHvWOTCJVADr2BfNhMt/G5KukbMwnHgJ9Tjfymbz5jSoj1KtXpIuQuA3Yp69TyOr1eh3b2ZZnjj8FkoFWtiWzgB9cSv6cZr7DUSpV4Tt23OM8exfzQ6ZYOXD8bOA5Ar1wJVw/nHQRzrloA1CQApICfG3mOQChdHC7yK/ZNZaOH3Us4xdAbOgztR/zj0L3Lg8bJ06ECW9h0x5MsLgO3qVSKWLCH+4AFkPz8CBg7Gq25dDHny4HzwgLhfdhO+YD5qXFy6cXq/9hpZ2nfAUrYcStasBLV8A+vFi25h/Nq2w7dFC8xly6J4+3C1SiXU2FjXfslkIueMmXg3bozzfjj3Jk8k4cgR1/6s7/fEmDsPYdOmPOMccWd4qxNKjfpIyddp9co57F8ud69jkxajlP1LHdu9FfuqeenH26YbSu1XkPxzgMOBeuMy9q9XoV1L41pkMGKe+QlyoeIkjeiGFnwNACl7Loz9xiEXKakfv3QG2v1H6tio2Tj270A9duBf5sLjSa+1Qa5YC3LmA7sN7cZF1G1rICz5euHpjdy8I1KpypA1O8RFo535DfXHLyEpId145U6DkV9q7LZNvXACddkk/bzFy6MMmpXmsY45QyDkKmTLgdJ5KOQvBjev4Vw7Hx6EpZzjg4lov/2CdupImvE8C15de2Jp+CqGQkXQrEnYz5wk5uN5OIODXGGUvPnxHTwSY6UqSEYT1qOHiPloBuqDiHTjzf79Lxjy5E21Pf6b9cTMmQaA79jJmGvUQgnIgZqYoJ978TycwYEASL5+ZJk8C1O1GjhvBhM1dTyOyyl11XfkBJy3bxL/1ZpnkxlpyJA6pigY2vVEqfwSUo48kBCP8+wf2NevgMg08vQFrmNy83bIVesi5coPdivatQs4Nn0Kd1Oe15Qug5DLVIEs/mBN1MN88ymkc58DwGxBafM+cuXa4O0L9+/i/GUr6v4f9f1ePihvdUYuWxX8c0BsNOqfv+LcsgYSE1xhDO+PQCpVCe3ebZyr56KFpDx/KZ0GoN2/g7rr2wzImRQ+bdvj27Y9hjz6s6Lt2lWiViwl8bD+fOHzTlu8mr+BuXRZZG9vgmtVdbvfpBtvu474deuBEpAd2+VLRMychu1cypB5xT+AbMNHYalVG9nTC3tQIFErl5PwS/LzstFI9qkz8Wz4Cs7w+4RPn0LSbynXGr9uPVBy5eHBrGnPMDf+HxBzTmSYTG+cWLZsGd999x3ZsmWjd+/evPLKK6594eHh1KhRgxs3bmTY+ZXyVbD9sAn1ygWQFczd+uI542Pie73rejiXS5fHc/pibBvXYF0+F83pRClcHDQ13XhNbTpjbN6apHmTUYNvoBQvjWXoRLT4OOzbNgIQ1979R4NSrTaWIeNxHN4HgLFpK+RipUgY2kPfN2oa8e1eB0DKmQdTk7eIH9glI7LFRS5XGcf2zTivXkRSFIzvfYBlykIS+3VIyZ+S5bBMXoD927VYP5kPqhO5UHFQ088fyWxBDbyK45cfsYz9MM0wlrGzwenAOmMUWmI8xjfbY5m22HVupXpdlAavkTRpEFKe/JgHjCPhz2MQGw2eXpg69SZpwsAMyZdH2e/c4e7s2VgDg0CSyPpOawquWsnVZs2xXr1K4tmzRG3dii00FEMWP3IOHkzhdWu5VLdeunkke3gS//sfRG/fTr7Zsx97/oAePUDTUm3PMaA/spc3V5u/gX+nTuT7cBbXWrQEwLNyZTwrVSJ00uR/+/WfSC5dEcfPW1BvXAJZwdiuJ6Yxc7GO6OIqQwCOPT9g37Q65UBbUhqxpTC0aI+hydvYls9Cu38HY5semEYnx2u3ucLZv/kMx94fUw585IeGsVNftMhwrCtnY3j3fYyd+mBbqP+oUF5qCJqW4Q0TAHKpijh/2YZ64zIoMoY272MaNQfr6G5ueQSgNHnnb8XtPH0M+6o5KRvsdrf9xj5jkbL4Y5s9AhQDxp4jMXYfhn35DAAMHfqgRYZj//QjvTGo/QfYP9Z/bMs1X9bzKAMbJgDsd+9yf+5H2IKCQAK/Vq3Ju3wFQW+2BEnCkDMHYbNnYbt2DWOevOScOg1DjhyEDuifbpyyhyeJJ/4gdscOcs1M+8ej7GEh/uBB4g8eJPuIkan2+7Vth6VcOULatMGrQQNyz1/I9ZdqAGDMl48s77Yl+O23nkUWPJZcphKOXVtQr18ERcHYvjem8fOxDn3PvY798j32jSkN5E+qY1roTeyrF6DdCwWTGUPztpjHzyNpQHuIjXILa+zUB+1BOBQq7r69cz+9jo2cjaHd+xjf64dt/gQAlFqNQFMzvGECQCpWDvXgdrTgq6AoyC06o/SfhnN6H70R3c8f/LKhblmNdjcEKVsO5Hb9kP38UT9Lu3w8pJ7/A/XLhSkbHCl1TLtxEceYTm7h5TfeQypZUW+YAOS3e6BFRaB+tRj5jU7IrXq4zilVqQealqENEwCmKtVJ2LQe+4VzoCj49BtCtiWfEd7mDbSkRCSLB9mWforjymUefNAVAJ8+A8m6YBkRXduleQ8CiOjcBhTF9behaHH8l60mac9O1zb7xfMk/fQjzruhSL5Z8OndD/+lnxLW8lVQVby790by8iK80zt4vtMOv3FT9XgBY7mKGMtVIGbujIzLHDKojpksyIVL4Nj8BWrQNfD2wdR1EOaRH2Id0zNV8Be5jsklK6Du+R4t8DIoCkrr7hiHfYh93PuuPNCCruI4uhctIgzJ2wflzc4Yh3+IfcR76T5PK+0+QC5dCcfKD9HC7yGXq4ry3kC0qAi0U0eRsvgjZfHHsXElWmgwUkBODJ0H6duW6T+mlTc6gMUT++Q+KA1boHQdimNqPwCkIqWRipTC+dXSDM0fAMfduzxYMA97cBBIEj5vtiLnx8u4/c5b2K9fQ7JYSDx8iMTDh8g2ZPhTxenVpBn+I8cQPnUi1jOn8X2vK7k++YxbLV5HffAAgOyz5iD7+HKvfx/UqEi8m71BjnmLCG37NrZLF/Ft0w5TmbKEdnwXj3r1yTF7HiENagFgyJsPn9bvcrvt2xmVLYKQSqY2+yxevJgRI0ZQqlQpzGYzzZo1Y9aslIcAp9NJcHDwY2L49xLHD8Sx+0fU4BuogVdJmjcFOWdulOKlXWEsvYZg27YR2zdfoAbfQLsVjOPQL6ke8h+llKmA47cDOI//inbvDo7De3H8eQylZFlXGC0ywu1jqFUf5+kTrje/cv7COH47hBp8A/sPm5CzZEPyy6KnacBorKuXQEJ8Wqd/ZqyTh+DYuwPtZiBq0DWsi6Yj58iNXKyUK4zp/UHYf9yEffM6tJuBaLdDcP66x+0B7a+cf/6G/auVOH9L+4Yp5cmPUqo81mUfoV67iHY7BNvyOUgmM4b6rwIg5y+IevZP1GuXcB7cDYnxyDnz6Gnq2h/7T1vc3vBmlNg9e4jdtx9bUBC2wEDufTQXNSEBzyr6G5QHGzYQf/w49lu3SDx3nrtz52HKm9fV0yItUVu2ELZ4MbGH038rDmApU4aAnu9zK40fTuZixYj64QdsgYE82LAeS7Fi+g6DgbwzZnB77LjHNiA9K7YPR+I8uBPtVhBayHVsy2chZ8+FXLjEXwImQfSDlE9i+m8rAQxN2+DYsg71xK9oITewLZuJlNUfpVpdt3BaUoJ7vI88SEp5C+ppu3sb54Gd+lsxAE9vDO++j331gmeSB09i/2g0zkO70G4HoYXcwL5yNlJATqRC7nkkFSiKoWkb98aGJ3HYIToy5ZOQ0ptAylMApWJN7J/NRbt+Ce3KORxrP0Z+qaH+dis5jPPQLv2N06FdSHke5pEXhne6Y/9i0b/+/k8Sv3cv8Qf2Yw8Owh4URPiCeagJCXhUqoTt6hVC+/cjfu9e7CEhJPx2lPvz5+HVqJHbj6K/itm2Ve99cST9Oha5Zg0PVn5C4qlTae43FS1K3J49+huwL9dh8PdHyZYNgJxTpnH/ozmP7b3xrNhmDsd54Ce9jgVfx7Z0pl7HipR0D2j9e3XM+esvqGdPoIXdQbsVhH3tx0ie3sgFi7qFkyvVRK5QHfu6ZanikPIWwrn/J7S7t3Du/8m9jrV7H/tnz6eOqcsmoR3bA3dD4HYg6pcLkLLl0HsrANwJRv10Ftq54xB+F+3KGdQf1iKVqwHyEx6VHHa9sebhJ/GR+7LT4b4vPhapQk3U335xBZFy5tfTdj8U7dgepFzJ9wYPL+Q33kPduPyZ5UN6Igf2IvHHrThuXMNx9TLRk8dgyJ0HY2n9mcVYsTJK7rxETRmD4/pVHNevEjVpDMbS5TBVfyndeNWoSNSIcNfHUvdlHDeDsZ1I6TmauGUTtpN/4LwTiuPyBWKXLULJlQclt97jwlC4KEk/78AZEkTid99gKFxEP1Ax4DdmEjGzJmf4vSxD6lhiPLbpQ3Ee3Yd25yba1QvYVi9ALlpK7630iBe9jjnmj0X99We00GC0mzdwfPZR8j0spSFFPbAD7cpZiLiHFnwN53ef698zIGe68UrFyuD8dTfa5TMQcU+P4+Z1V75rt4NwLJ2Kdvo3uH8H7eIpHJs/R6r0kqveSnkKoB7bD/du4zywAylPfj1yRUHpMgjn2kWPfdn4rCQe2EfioQM4QoJxBAcRuXgBakIC5oqVAIj58guiP1uJ9cypp47Tt3M3Yr/9hrit32G/cZ2IqRPRkpLwaZXyEsNcqTIx69dhO3cGx62bRK1cjhobg6lsOQCMRYqQsG8v9uvXiN3wFYq/P3LWrAD4T5jMgwVz0eIz9rfG/yRZej6f/6BMbZz45JNPWLVqFUuWLGHdunXs27ePBQsWMHHixMxLlKe+lKkWGwOA5JcVpXR5tKgHeM7/DK8NO/GY8wlK2YqPjcZ54QyGStWR8hYAQC5cHKVsRRy/p/32Q8qSDUONuth3bXNtUwOvoJSrqL+xqvoSasR9tOgoDA2boNmsOI7sfwZf+O+RvNzzB7+sKCXLoUU9wDJ7JZ5rt2OZuQy5dIV/dyKjSf/vI2/A0TQ0ux25jJ73auA15OKlwcsHuWhJMJlR79xCLl0BuWgJHD9+8+/S8E/IMn4tWiB7eJDw55+pdkseHmRt0wZrSAj2O3f+1akki4UCixcROmEijvv3U+1PunAR79q19Ldg9RuQeOkSADk+6E3cb7+RePbsvzr/PyU9rGNx7t0VlTqvYlm5DfOczzG06wkmc/px5MiNlNUf57kTKRsT41GvX0QuXtYtrLFlBywrv8c861MMb7QDOeUHqxpyHblcVZAklArVUEP0XlrGjn1w7N6C9iB1vj4PkkfyRMHxMSkbTWaMfcfpjQHRkU8dl1yqEualmzHN+QJD18F619iH+4qVQYuPRQu84tqmnj8BmoZcVG+g1UJuuPJILl8N7aaeR4Z2H+D8ZRs87zySZXyav4Hk6UHiqZNpBlF8fPRGAaczQ5NivXQJj6rVkMxmvOrVx3HvHs4HD/Bp2RLVaiVu989PjiQDSJ56+dHiYty2K/Vew/LpD5jnfoGhfe/H1rFUFAOGxi3R4mNRk7uTA+CXFVPvkdiWTE/zLbEafA25QjW9jlWsgZrcndr4Xl8cu7agRYSlOua5sCTXsYTHNB5ZvPSeVk/44SsVL48y60uUCSuQ2/YFL5/0w1aoCV4+aL/tdm3TbgcilaoEkoRUqjLa7SAA5Le6ox78EaLCn/ZbPTOSt/4d1Jho/W+TSb8H21LuyZrNCqqKqVKVp4vUYMSjWQsSvv8u/fNaPPBo+TaOWzdx3tOHJjiuXMJUrSYoCqZadXFc1a9X3l16YDvxO/aL59ONL6NkSB1LjldTVbRHy+X/Yh1z3cPSGZZgsiDXfR0t7M5j7yHatQv6kMOHjeWlKiLlzIf66L3/LyRP93qr3byOVLoSyDJyuapoN/XhQnLTtmiXTqMFXUk3rgwjy3g1bY7s4Yk1nfvYExmMmMuUJfGRIRhoGom/HXE1eABYT53Eq0kzZF8/kCS8mjZHMplJOn4MANvlS1iqVEUym/GoUw9H2D3UyEi8mrdAs9pI2LMbQXieMnVYR2BgILVr13b9Xbt2bfbu3Uvjxo2x2+0MHjz4+SZIkrB8MBTH+VOowfrFXUpuuTd36knSqsWoNy5jfKU5HrOWEf9BO7TQtMfK2b75Ajy98Vq1Sb9AyjK2L5bj2LczzfDGxs0hMR7Hr/tc2+y7vkcuXByvlRvRYqJJmjkGvH0xv9ebhJEfYOryAcYGr6HeuUXS/GloERn8I0GSML0/GOeF02jJP+LkXMk9Fdq/j+3zj1EDr2Jo2BTL9I9J7N/RbX6Iv0O7FYQadgdT5z5Yl84GayLGlu2Qs+dEzarfpJwnj+HYvxOP+avBasW6cBpYEzH3GYl10TQMTd/G2PwdtNhorEs+dN2QMoKlZEmKbvkO2WxGjU8guHdvrFdTHuD93+tErjFjULy8SLp2ncCOndAe0/PmaeSZOJGEEyeI2Z32jSNs+XLyzphOqYMHsN26za2RIzEVKkTW1q251upt8s6YgXf9eiSeOcOt0WOeamzjvyZJGDv3x3npDNqtlH8P5697cITfRYuMQC5QBGP73si5C2BbMCHtaPz0t9Na9AO37Vp0JGTJlhLvzu9QA6+gxccglyiHsW0vpCz+2L/Uu3Dav1yG6f1hmBdv1Ht1fDoPuVQF5ILFsK9fgXHQZOTCJVHP/o59zWL9LWhGkyQMnfqhXj6LdivItdnQsS/q1fOofz59927nmd9x/n4Y7f4dpJx5MLTpgWn4h9im9NffFPllQ4uJcj9IVSE+Bik5H+0bVmDsNgTz/PWoN29g/3wBUskKyAWLYtu4EmP/iUiFS6Ce/UOfqyKD8shUogQFv/kWyWxGTUggtG9fbNeupQqnZM2Kf7/+RH+9MUPS8ajobzdhLlmSQj/twhkZSeigAfocGIMGc7NjRwKGDMWn+RvYQ4K5O2Y0jnsZ35MLScLYdaBexx655jkP78YRfg/tQThywaIYO36AnCc/tnnjHxudXKU2psGTwGSBqAis04fqQ+eSmfqOxbF7G9qNy0jZc6U63r52KaZeIzAv3aS/cV75EXLpinod+3I5xiFTkIuUQj1zHPvqRc+tjsnv9ES7fh7upNM708sXuWk7tCNp37Mf0i7+iXb6CFrEPaSA3PpwkT5TcM4bnubbWKnWa2gXT0JUypwC6pbVyO37oUz5DC00CHXDUihaFilfYdRtnyN3H4VUoDjapZOomz7J+DySJHyHjcF26gSO6/rQE/vZ02hJifgOGE7M0gVIkoTPgKFIBgNyQPanitby8itI3j4k/rAl1T7Pd9rjM3AYsqcXjqAbPOjXw9X7Mm7NKvzGTCL71p9xht4metp4lPwF8Wj+FuHd2+M7ZhLmmnWwXzxH9HR9+GyGesZ1zMVowtixD85ff3HrcfE/V8ckCUP7PqhXzrka2h6SG7ZAebcnksUD7U4I9rmjHpse51dLUboOxrTgazSHAzQV55oFeg+MtHj7orToiLp/R0oc279G6TwI4+y1aOH3cHw+D3LmRanzKvbpA1E6D0IuWxU16ArONfOf2KPs3zAWL0GerzYimfT72L1B/bDfSH/+scdRsmZFMhhwRrg3XjojwjE+7F0EhA0bRPa5Cyl45Hc0ux0tKYmwwf1w3NTnjovdshlTiVLk3bYDNSqKsGGDkX39yNp/EHe6dSLrgMF4NW2O/WYI4RPG4gx7Dvex/wVizokMk6mNEwEBAdy8eZNChQq5tpUrV469e/fSqFEjQkNDnxiH1WrFanWfdNHh+GcXXnO/kciFipIw7JGxfsmFz7ZjC47dP+jnvH4FpXJ1jK+3xPZ52uPUDPUbY2zUhKTZ41GDbyAXLYGl91DUiPs4ftmeOvzrLbHv3eneU8DpxLp0Do9+O8vQidi2bUQuVhJDrZeJ79MBU5vOmPsMJ2n6qH/0vZ+W6YPhyAWKkDT6keVdk/PHvmsrjj3697LduIJSsRqGV1tgX/sPu6M6nVhnjcE0YCxeG35Gczpwnv4Dxx9H3JbvsW/4DPuGlPGdxnbdcZ7+Hc3pwPhuVxIHdMJQvQ7mIRNJGtrtn6XlKVhv3OBq02YoPj74NWtG/nnzuN62rauBInLrNmIPHcaYIwfZe/WkwLKlXG/9Dpo1nQlVn8C3cWO8a9fiarPm6YZRY2O5OXCQ27YiG9ZzZ+Yssrz1FqYC+bncsBH5PvyQnIMGcmd6xo7ZBTB2G4KUvzDWyQPctjv3/pDy/zdvoEVFYB6/EClHHrSwJ18H0uPYkdJ7xhlyAxwOjD2GYf96pf7gGxmO7aMxKQcYjBjHfIRt+SyMrTpDYgLWYZ0wjf4IpXFLnLvSf+P3rBi6DELOVxjrtJT5UuTKtZHLVMY2vtffikv9LaWxU7sViD3kBub5XyGXroh64Snf1kSGY58/7pEEGjGOnI39kw8xvNkJLSkB+8guGEfMRmnUAufu1D88ngVbYCBBLVsg+/jg06QJuebM4WbHDm4NFLK3N3lXfYr12jXCP8744SY4HIRNmey2KdeHs4lcuxZzmTJ4N36VoBbNydazFzkmTCS0f78MT5Kxx1C9jk10P5dzz1/qWGQE5kmLkHLm0eeUSId6/k+sI7qDrx+GV1pgGjIF69jeEBOF0rQ1eHji2PJl+gmKDMc2+5F7k8GIcdw8bEtnYGzdRa9jgztgGjsP5dU3ce7c/I+/+9OS3+2DlLsgzgWph8MBYPFA6TMJ7U4I6vb1j41LO5EyJ40WGozzdiCGKZ8hFS+PduW0e+As/kilK6Ou/ss8QtERqCumpvxtMKD0m4pz3XzkJu0gKRHn1N7I/aYi1W2CduBHMpLvqIkYihYn4v2Orm1qVCSRowbjN2YSudp1AlUl8ecdeq8FNe35Jv7K883WWI8cQg1P/SIl8acfsB47ghKQHa/3upH1wwWE9+gANhtafBxR490nts62/HNiFn+ER5M3MOTNz/3WzfAbPxXvnn2JXfg3hr39A8+6jgF6r5AhUwAJ+6cpE2j+L9YxpdMApHyFsM8ckmqf+tse1At/IvllQ2nSBkPf8ThmDE53GLDc+E3kIqWxL5wAEfeQSlbQJ7CMikD76z3M4olh8HS9Hm5bm7I9MQHnJ7N4tB+dYeQcHN+sRK71ClL23NjHdkPpOhSl5Xs4N37y7zMhHfbAQG63fhPZxwev15qQfcZs7nTt+I8bKJ5Glv6DkX18udOjC2pUJJ6NGpN97iLudOmA/eoVcDiImOE+aXPAtFnEfLUWc6kyeDZqzO3WLfHr3hP/MeMJGzIgnTMJwrORqc0+devW5bvvUj/slylThj179vDTTz89MY5Zs2bh5+fn9jl06O9PzmbuOwJDzXokjOyDFp7SBU57oLdIqiHub93VkCDkNFqwXfG9PwjbN1/gOLAbNeg6jj0/YduyAVPbrqnCKmUroeQvhH3nttQRPRquQlXkgkWw//ANhgpVcP7+K1iTcBz6BUOFp+xW+Q+Zeg9DqVaHpPH93HpoaJHJ+fOXXgnqzSDkx4wjfBrq9cskDe5CfLvGJHRpgXXyECQfP7S7ad/kpbwFMbzcBNtXK1HKVUE9fwpionAc3oNSrBR4eP6r9DyOZrdjCw4m8dw57s6ZQ+LFiwR0657yXWJjsQUFEX/8OMF9+mIpWhS/11//x+fzql0bU8GClD17hvLXr1H+uv4DreCK5RT5+us0j8napg3OmBhidu/Gu9ZL+qoeDgfRO7bj9VL6Y4afFWPXQchVamGbNviJQwHUa/pM7FKu1LO8Q0qPiYc9KB6S/LJC1IO0DkmO9wKSwZDm2yfQZ2RXz/yBFngFuUwlnMcP6KvzHD+IUrrSY9P8LBg6D0Sp9BK2WUMhMuVtiFymMlKOPJg/+QHzmt2Y1+i9ZYwDJ2Ma+/gVTR6l3b+DFhOFlDM5X6MfIPlmcQ8ky+Dli5ZOPhpadkA9+wda0FXk0pVQfz8ETifqH4eQSz9+uNu/YrdjDwnGev4c4fPmYr14iaxdurp2S15e5Pvsc9S4eEL7fgD/sJH63/Co+RKmYsWJWrcWz5o1iT+wHy0xkdgdO/CsUTPDz2/sPlivY1MGPUUd01fccM1vkB5rEtq922hXL2BfMRucTn2FHEApVxW5RFks6/dg2bAP8+INAJg/XIWx39g0ozO0eg/1zO/JdawyzmMP69gBlLKV/t4X/gfkNh8glauOc/FYt94LLmYPlL5T0ZISUVfNAPVvDg2KuIcWGw1/WSUIQHrpVYiPRTtz7PFpfO1dtEsn4eZ1pOLl9MkwVSfa6SNIxcv/vfT8Tb4jx2Op24AHH3RB/csbUtuxI9x/63XuvVqHe41rEz1xFHL2HDhvP2a1hWRKrjyYatQiYVvaKyJo8XE4bwZjO/kHkSMHoxQqjKVh4zTDerRohRYbi/XAXsxVa5C0fw84HST9sgtz1Rp//0v/DRlSxxQF05CpSAG5sE4f4vbm/n+tjimd+iNXqol99gi3e5hLYgLcu4125SyOpVORcudHrlo3dTgAowmldXccX69AO/0b2q1A1D3bUH8/gNKkjXtYiweGYTMhKRHHx5MfO6RPrvs6JMSjnTyKXKoi6p+/6vew3w8glfqXQ5KfxGHHcTME24XzRC6ch+3yJXw7/bOJ7Z2RkWgOB4p/gNt2xT8AZ3IDoCF/fvw6vkf4hDEkHTuK7fIlopYvwXb+HL7tO6YVLZbqNTEVK07M+i+xVK9JwqEDaImJxO/cgaV6xtYv4dlYunQphQoVwmKxULNmTY4fP55u2PPnz9O6dWsKFSqEJEksXLjw+SU0HZnac2L06NGcOJH2uLGyZcuyd+9eNm9+fAvvmDFjGDp0qNu2jz76CH5/fFfMR5n7jsBQ+2USRn6QqnVbuxeKGh6GnK+g23Y5bwH9LX46JLM59ThVVUWSUk9uYmzyJs4rF1ADr6afSKMJc7+RJM2ZkDxMRAGS41IMbuPonzVT72EoLzUgaWxftHvu8yRo9+6gRtxHzlvQrVVaylsA54mjzyYByZN+SrnzIRcrhf2rlWkGM/cbhe2zxZCUqOeHkly8Dcn/fdKkZs+QJMv6GN00d0r62OL09j+F+8uX8+AvjRAld/9M6NRpxOz5JVV4JVs2cg4ayLXWyZMkyQoYjHpyDEakDCw/oDdMKNXrYZ02yG2Js/TIBfVJ6rS0fjyAPkFfZARKuSo4Ho5/9/BELloa++70G/nkgsXQVCdaTOo5G6Q8BVFqN8Y6pkdyYNm9DGVw+TF0HohStS62mUNS5ZHjx/U4D7j3uDLPWo3jq2WoJ/9GPcsaAN4pDQ/qtQtIXj5IhYqjBSWvHFCmCkiSPiv9X0h5CiDXeiWlB4csp0w6qWR8Hrl5pI7J3t7kW/05ms3G7Q96uY2Lf14kk4mckydzZ9hQ/VqvKGjJ13vJaHjs5JzPgrH7YJQa9bFOHoh2/8nz2cjJE9VpaS1Z+DiSDEb92mFfvRC+XpWyK2sA5vHzsS2cjHo19XKjUt6CKHUbYx2Z3HD7aB3L4PsYJDdMVKyFc9EYiEija7LFA6XfNHDYUT+Z9thJndOVxV+fcyImdeOe/FJjtON7H9/gkTMfUrWXcX6Y/HZSUlLKjqxkaFdi35HjsbzcmIjeXXCG3k43nBYdBYCpWk3kbP4kHdz7xLg9WrZCjXyA9fBTrBohgSRJSMbU90g5S1a83++b0qtDkVPu8Rl8nc6QOvawYSJXPqxTBsFf5rD4X6pjSqf+yFXqYJ89HMKffJ/Xe8FKrmeR1BEakAzG1CvBqE73emDxxDBslv7Df/HEx9dbHz+Ulh1TenXIj5Sf53ANSkX+F8+CDjvWC+ex1KxFwt7k5z5JwqNmLWI26D1tJIuHvv0veaj9NQ+TSSYT/uMncX/UMP23hiIjSXr+SAbj88+fF1kav+deBBs3bmTo0KGsWLGCmjVrsnDhQl5//XUuX75Mjhw5UoVPSEigSJEitGnThiFDUvd2ygyZ2nOiQoUKdOuWflf7cuXKMWnSpMfGYTab8fX1dfsYDE/f5mLuNwpjo6YkzZ4AiQlIWf2Rsvq7TWJk+/ZLTG+2xVC3EVLufJg6f4Ccv6Db5JUes5ZhbJHSkus4dhhTu24oNeog5cyNofbLGFt1wP7XSSw9vTDUe+WJvSZMHXrg/P0I6nV94h7n+dMY6jRELlwMY8s2OC+cfuzx/5Tpg+EYGryOde4kPX+yZNPHoj+SP/YtX2F8ow1K7YZIufNh7NgLOW9B1zAYAMu0jzE0f2QJRIsHcuHiyIX1m7eUMw9y4eJIj/S2UOo0Qi5XGSlnHpSa9bBMXYzz2EGcp1K3ABpea4kWHYnz98MAqBfP6D1NSpbF2LKdPtFhBo1DzTVyJF41amDMlw9LyZL63y+9RNTWrZjy5yd73754lCuHMU8ePKtWoeCypahJScTsS+lyX2LPHnwf6Umh+PlhKVMGS3H9R7q5SBEsZcpgyK6P7XXcv4/1yhW3D4A9NBT7zdTzfOSZNJH7q1a5xrwn/PEHWd9uhblYUbJ1aE/8iT8yJG8AjN2HoNR9FduSaWiJieCXTf8kP3hKOfJgaNUZqXAJpIBcyFVrY+w7FufFU665TQDMc9ciV6vn+tvx0yYMb3VGrlobKX8RTH3GokVG4PxDLwNy8bIoTd9BKlAUKUdulDqNMb7XH+fh3WmWBWPP4djXLXGt5qFeOYeh0RtIeQpiqPc66pVzGZZHhi6DUGo3xrZ8ur66iF9W/fPw4Tw6Up8l/pEPgBYR5r6e/ew1KW+hzBYM7XojFS2NFJATuUxlTEOmo927jXpWnylfCw3BefoYxh7DkYqUQipeFkPnAfpwkDQahozdh+L4aplbHikvN9dX/aj7GuqVjJmYLmDYcDyqV8eQNy+mEiUIGDYcz5o1ifl+m94w8fkaZA9P7o4dg+ztjRIQgBIQ4PZDpdDOn/F+9TXX37KfH+bSpTEX069BpsJFMJcurR+XTAkIwFy6NKaCeuO0uWRJzKVLI/v5pUqjf78BxO8/gPWC/oMh8cQJfF57HXPJkmTp9B6Jf6Y/gdu/ZewxFKXea9gWTUVLTEhdx3LmwdC6i17HsudCrloHY79xOC+cQgtJ6U5sXvAlcvXkOma2YGjfC6l4GX3W/cIlMPYZjZQtAOdR/dqlRYTpKzQ9/NzR36Brd2+n+VbZ2GsE9i8eqWOXz2J4pYXe661+E9RLGTdJr/xuH6TqL+Nc85E+WZ5PFv3zsI49bJgwmXF+tQgsHilhHnmIV8YvR6qgL7OHyYL8VjcoVBKy5UAqURGl1wQIv4N20X1CZKlERaSAXKhHHj9JqtJ+AOp3q/TlTQHtxgWkOq9DznzINRuh3UjdaPgs+I6aiEfTFkSNH4GWEI/sH4DsHwDmlHu9R4tWGMtVRMmbH4+mLcj64ULi13+BMzjIFSbbstV4vtvBPXJJwqPF2yT+uDXVG20lbz68uvbEUKoMcs7cGCtUIuvshWhJVqy/pl7G2XfYGOK/+hz1vt7D1Xb6JB7NWmIoVATPt9/FdvofTi74BBlSxxQF09BpSEVKYvt4qn69ehhvcoPC/0odU94bgFzrFRyfzNJ7R/hm1T8P61f2XMjN2yEVLA7ZsiMVK4Oh7wSw21DPpDzTGWd+hlSljv5HUgLqpdP6HBUlK0BALuQ6ryHXfhX1T/0+j8UTw/APwWzBsXoeWDxTzp3Gj2+lfR+cuza77m/q1fPItRpD7gIoLzdHu5pxk6tmHTwMS9VqGPLkxVi8hP539ZrEbf9eT5t/AKaSpTEU0O83xuIlMZUsrU9kmSzXp1/g0z5laeKYtZ/j8867eLdshbFIUfwnTEHy8CB2q/5i1x54A3twEAETp2IqVwFD/vz4dumOR606KQ0aj8jyQT8SDx3Adkm/zlhP/olX49cwliiJb4dOWE+lnuhdeLHMnz+fnj170q1bN8qUKcOKFSvw9PRk9erVaYavXr06H330Ee3atcP8yPU+M2Vqz4mHjh8/ztGjR7l7V3/IzpUrF7Vq1aJGjYzvPmRqof9g9vzIfYxZ4rwpOHbr4zrtWzcgmUyYew9F8vFFvXGVxLH90e6kvFmQ8+R1LfMJkLTsI8ydP8DSbxRSlqxoEeHYf/oO21efup3H2OA1QMK+f1e6aZQLFsVYvzHxfVO6YDkO70GpUBXPuatQbwWT+OFTTrj0NxmbtQb0xpdHWRdOw7FXn3DI8f1GJKMJU49Bev4EXiNp4kDXkqigd8+XHrnAysVK4TEzJU7z+/rcCPY927Etmq4fk9UfU/eBSFmyoUWG49i3E/vGNCpXlqwY23QlaVTKeHz16gXsWzdgmTAPLTpSnywzgxgC/Mk/fz6GHNlRY2NJvHSJwPc6E3f4MIYcOfCqUZ2A7t1Q/PxwhIcTf/w4199ujTMi5cefpVhRFJ+UGd59X32V/PPmuv4uuHQJAPcWLOTe3+xy5V2/PuaChbg5OKVFNPyLL/CoUJ5iW7eScPo09xZm3Ph8w6tvAWCeuNhtu235LJwHd4LDjly+Koam74DZghZxH+fxgzi2rHULL+ct6JohHcDxwwYwe2B6fzh4eqNePovtwxGueVs0uw1jrUZIrbuC0YQWdgfHT5twbE+9iovySguIfuDWC8H+7eeY+k/APG05zjPHcfycMXMpABgavwmAedxCt+32lbNxHkr/2vBXcp4CKXmkqnqjTb3X9FWIIiNwnvsDx7efu71Zsi+fibHzQEyj5+qTjf1+CMe6j1PFrTR8Ay06EvXUb65tji1fYOwzDtPkpahnfsf5y9an/9J/g+LvT+45c1FyZEeNjcN66RK3uncl4ddf8ahRE49K+rK9Rfbsczvu+sv1cdzWr0PmokWRH6lj3q80JvfslLHpeRbp5TN88SIiPtb/P0v7DgQ8Mm9LgQ36JJt3Ro0k5ruUXn2m4iXwadaMoJZvuLbF7vwJj5o1yb9hI7YbN7gzNOPeSBhebwWAeYr7v5tt6UycB34ChwO5fDUMzdok17EwnMcO4PjuC7fweh3TV9NBVZHzFMAwbDr4+EFsDOr1i1gn9XebqPVpKY1bQnSk24Su9k2rMQ2chHnGJzhPH8ORgXO6yPX1+XkMgz902+5ct0BfvjN/MaTC+hLZhsnu92nHxO7wQP8xLOXKnzJEUFMhb2GUmq/oqxNEP9Anrfzxy1TDiqTar6JdvwD30p8kWqrTBC02Cu1cyjKb6o71yF1HoAyfj3bxBNrB1HNWPQtebdoD4L/S/bobNXmM3qgAGAoWxqffEGQ/P5yhocR9voL4r9zLkJKvAHKWrG7bTDVqYcidJ81VOjSrFVPlani174zs64saEYHt5B+E92iPGune+8T0Uh2U/AVImJgyv0L8xq8wli6L/5qN2M+fJW5V2vOA/VsZUcekbNlRkhsqLB+tcQtnnTwA9cKpv5XGzKxjSqOWABhHz3Pb7vj0I9Rffwa7HblEeaRX3wYvb4iJRL18FseMQfoSu8mk3AWQPLx4+J7fsXwGyjs9MPQeo/dIiriHc/PnqPv053OpYDHXylKmOe5l1za8k1sPKalcNaQceXCuSpnzRd2zDalQCYwTFqPduIxz27pnlSWpKNmyETBzDobsOfShvlcuc7d3d5KO6v9ePm3bk7VvynwOedbq893cHzeKuG3684chf36UrCn1K37nDuSs2cjafyBKQHasly5y74MeqA+fLx0O7vbpSbYhw8m1dAWSh6c+seW4USQecu/FZCxWHK/Xm3L7nTdT4v95J5bqNcjzxXrsQYGEjXTvqf6f9pwmxExrbkWz2ZxmQ4LNZuPEiROMGZMyl5osyzRu3JijR59Rb/bnQNK0v/aXen7CwsJ4++23OXLkCAUKFCBnTv2t+b179wgJCaFOnTps3rw5zW4ojzNlyhSGHs3YCaP+l82vpT9ADz/x9ENf/kvmVm0CQKvVn2dySl5MW7rrvZ1GXnpyV97/qjmlGgEw6tpTdGH+D5pdrAEA7b5c+4SQ/01fd+oMwMjzqd9sCbo5ZfX5CMbd//0JIf+bZmSvDkCvH9Keg+i/bmWLdoCoY4/zsI6NCTqcySl5Mc0qpPdS7Lzpq0xOyYtpbZuOT+z9/r/M+WvGT5AOMG33GaZMcZ+wdNKkSUyePDlV2NDQUPLmzcuRI0eoVauWa/vIkSM5cOAAx449fr6jQoUKMXjw4Oe/WuZfZGrPib59+6KqKhcvXqRkyZJu+y5fvkz37t3p168fmzZtyqQUCoIgCIIgCIIgCIIurTkEM0Jacyu+KMMvMkqmNk7s2rWLgwcPpmqYAChZsiSLFy/m5Zdffv4JEwRBEARBEARBEIRMkt4QjrQEBASgKAr37rlP+Hzv3j1y5Up/hckXTaZOiGk2m4mJiUl3f2xs7P/71iFBEARBEARBEAThf4QkP5/P32AymahatSp79uxxbVNVlT179rgN83jRZWrjRNu2benSpQtbtmxxa6SIiYlhy5YtdOvWjfbt22diCgVBEARBEARBEAThxTZ06FBWrVrFF198wcWLF+nTpw/x8fGu1TE7d+7sNmGmzWbj1KlTnDp1CpvNxu3btzl16hTXrl3LrK+QucM65s+fj6qqtGvXDofDgSl5rV+bzYbBYKBHjx7MnTv3CbEIgiAIgiAIgiAIwnPwnFbr+Lvatm3L/fv3mThxInfv3qVSpUrs3LnTtehESEgI8iPLrIeGhlK5cmXX33PnzmXu3Lk0aNCA/fv3P+/kA5ncOGE2m1m+fDmzZ8/mxIkTbkuJVq1aFV9f38xMniAIgiAIgiAIgiD8T+jfvz/9+/dPc99fGxwKFSpEJi7cmaZMbZx4yNfXl4YNG2Z2MgRBEARBEARBEAQhffLzWa3jvyjT+6QkJiZy+PBhLly4kGpfUlISa9euzYRUCYIgCIIgCIIgCILwvGRq48SVK1coXbo09evXp3z58jRo0IDQ0FDX/ujoaNcEHoIgCIIgCIIgCIKQqV7A1Tr+v8jUbz1q1CjKlStHWFgYly9fxsfHh7p16xISEpKZyRIEQRAEQRAEQRAE4TnK1Dknjhw5wi+//EJAQAABAQH88MMP9O3bl3r16rFv3z68vLwyM3mCIAiCIAiCIAiCkEISc05klEztOZGYmIjBkNI+IkkSy5cvp0WLFjRo0IArV65kYuoEQRAEQRAEQRAEQXgeMrXnRKlSpfjjjz8oXbq02/YlS5YA0LJly8xIliAIgiAIgiAIgiCk9h+dD+J5yNScbdWqFRs2bEhz35IlS2jfvv0Lt/aqIAiCIAiCIAiCIAjPVqY2TowZM4YdO3aku3/ZsmWoqvocUyQIgiAIgiAIgiAIwvOWqcM6BEEQBEEQBEEQBOF/hpgQM8OIATOCIAiCIAiCIAiCIGQq0XNCEARBEARBEARBEJ6GmBAzw4icFQRBEARBEARBEAQhU0na/8PlMKZMmZLZSRAEQRAEQRAEQfhPmjRpUmYnIcOop/c8l/PIFV95Lud5kYieE4IgCIIgCIIgCIIgZKr/t3NOVP94RWYn4YX1+4APABgdeCiTU/Ji+rBwPQC6f7chk1PyYlr9dnsARl8/mMkpeXF9WLQ+AOMe/JnJKXkxzchWBYAhh7ZlckpeTAvqvQnA2LvHMjklL66ZuWoCMF4LzOSUvJimS4UBGHY8/eXa/8vm1WgGwNjbRzM5JS+umXlrATAu/I9MTsmLaUZANUBcp9Pz8Br9/5aYcyLDiJwVBEEQBEEQBEEQBCFT/b/tOSEIgiAIgiAIgiAIz5QkZXYK/t8SPScEQRAEQRAEQRAEQchUoueEIAiCIAiCIAiCIDwNMedEhhE5KwiCIAiCIAiCIAhCphI9JwRBEARBEARBEAThaYg5JzKM6DkhCIIgCIIgCIIgCEKmeiEbJ/bv309iYmJmJ0MQBEEQBEEQBEEQUkjy8/n8B72Q3/q1114jKCgos5MhCIIgCIIgCIIgCMJzkKlzTlSpUiXN7Q6Hg9atW2OxWAD4888/n2eyBEEQBEE0ltUtAABxN0lEQVQQBEEQBCE1+YV8v///QqY2Tpw9e5bGjRvz0ksvubZpmsbp06dp2LAhOXLkyMTUCYIgCIIgCIIgCILwPGRq48T+/fvp0qULNWrUYNKkScjJrVAzZsygX79+lClTJjOTJwiCIAiCIAiCIAjCc5CpfVLq1KnDiRMnuHLlCrVr1+b69euZmRxBEARBEARBEARBSJckSc/l81+U6QNm/Pz82LBhA71796Zu3bqsXLnyP/uPIQiCIAiCIAiCIAj/RZk6rONR3bp1o27dunTs2BGHw5HZyREEQRAEQRAEQRAEd//RZT6fhxemcQKgePHi/Pbbb8TGxuLr65vZyREEQRAEQRAEQRAE4Tl4oRonAGRZxs/P77mdr0C3zhTo2gWPAvkBiLt0mWtzF3B/z1488uej4cnf0zzuz+49ufv9j0+Mv9zc2RTo2pkL4yYS9MkqADzy56PYsCH416uLOUd2ku7eI/TbzVybvwjNbneFqbjsY3wrVCDmzBlO9x1A4s1brnirrV/LrfUbufvj9n+bBY+lNG+PXLUuUu78YLeiXruA85tVaHdvpRneOHQmcoUa2BdPRP3zyOPjbtUFpUEz8PRGu3oex9pFaPduu4WRK9ZEadkJKX8RsNtQL5/BsXiSvtPLB0PPkcilKqHdu43js7loIddcxxreG4B2/w7Ond/+u0x4Aq827fB+tz2GPHkBsF+/RswnS0n69ZAewGQiy7BReDZpjmQyknTkVyJnTEF9EPFU8WcdPxnvNu2InDOTuK/Wpg5gNJLzy28wlSrN3Xffwn75EgBKnrxkm/4hpjJlsV04z4Pxo3GGpuRvwMcriN/6HYl7fv53GfAEyhvtkavVRcpdQC9DVy/g3Lgy/TI0bBZyxRrYF05E/fPXdOOVq9VFadgCqXAJJG9fbON7oYX8Zd6aHLkxtPsAuUQ5MBpRz/yOY90SiInU9xuMGHoMQ65SGy06EscXi9DOpyxdrDR7F8k/h35MBpEat0auWAty5AO7FS3wEuoPayEs+d/K0xu5aXukkpUhawDEx6CdOYa64ytISkg/3govIdVpgpS/KJKXL445g+F2YEqAp4nX0xu54yCk4uXh/h2c6xe7xSG/0xst4i7avm0ZkDMpTO27YazbCDl/ITSrFeeF01hXLUa9Fax/15y58fkq7WthwtSROA7+kuY+c+feGF5+DTl7LnDYcV69iHX1UpyXzgGgVKyK17xVaR4b168T6uULSDlz4zFqGkrx0jivXiRx9gS0e3dc4TymL8K+axuOQ3v/TRY8lvz6u0iVaiPlygd2G9r1izi3roZHrqdyh/7IpSqDXzawJqHduIBzy+dwL+166DrujU7IdZuAh5d+zPqlcD80JUD+oiituiMVLA6qinbyV5ybV4E1Sd/v6Y3SZRhSiQpwPxTH2gVw60ZK/O36wv07qHu2PNM8SaVgCeTazSBPQSSfrDi/XgyXHlmm3MsX6dV3kYqWBYsnBF9B3fElPLj32Gill15DqtYQ/PwhIRbtwh9oe74Fhz0lkE8WPe5iFcBoggf3ULd9BqFBehy1myDVaQaAdngH2tGdKcfmLYLcvDPqp1NBVZ9VbqRibNMFQ+2XkfMVRLNZUS+exfr5ErTbIW7h5FLlMHXug1KyLKgq6o0rJE4YBDZrmvGaOryPqWNPt23qzSASPmjr+lvKlRdzj4EoZSuC0YTjxFFsK+ahRT3QAxiMmAeNw/BSfbTICKzL5uA8lfJsZny7E1KOnNhWzHtGuZGa3KQtUpU6eh2z2fS6sHm1W/2ROw1ELl1JLwvWRL0efvcZpHOvQ1GQ3+yCXL46BOSGxHi0iydxfrcaoh+khMuRF+Wd95GKlQHFgHY7CHXbF2iXz+j7Pb1Rug1HKlkRwm7j+GIB3Ey5F8rt+0H4HdTd32VAzuikV99BrlgbcubVr0GBl1C3rXG/jzXrgFSqMmTNDnExaGd+Q93+5WPvY3LT9khV60OWAHA60G5eQ/1hHQRfSQmUryjym12QChQHTUU7dQT1u8/AlnINkjsNQSpRHsJC9fvYo9egNh/o97G9W599xjz6XTLzOv2QwYBh5AKk/EWxz+ifkg/ZcqB0HY5UoBhayDWca+bCgzDXYUrfyahHd6OdTP+Z7D9HTEGQYTK9T8qyZcto3Lgx7777Lnv27HHbFx4eTpEiRTL0/Emhd7g8bQa/vvI6Rxo3IeLQr1Rd9zneJUuQeDuUX8pUcPtc+XAOjrg47u958oNmzmZNyVK1Ckl37rht9ypeHEmWOTdsJAfrvszFCZMo0KUzJcePcYUpPXUySXfucLhhY5Lu3aPUlEmufbnfaommqhneMAEgl6qAc+827NMGYP9oFCgGjMNng8mSKqzyWms0TXuqeJVmbVFebYXji0XYp/ZHsyZhHPYhGI0p565WD0PPUTgP78I+oRf2GYNQj6bku9KiA5LFE/ukD1AvncbQbYhrn1S0NFKRUjh3ZdzN+CFn2D2iF83jXvvW3OvwDtbjvxGwaCmGosUAyDpiDB4NGhIxYhBh3TujZM9BwPyPnypuj0aNMZWviCMs/QfkLENG4Lwflnr7sFE4w8K4924r1PD7ZBk6MiXe15uCqmZ4wwQkl6Ffvsc+tT/22SNBUTCOnJN2GXq9NRpPV4YwWVCvnMOxMe0fj5gsmEbMATTsHw7HPm0QGIwYh0x33VTkhs2RCpXAPnUA6r4fMfYZm3J8QC7kl5vj2LT6b37jv0cqVg710A6cC0bgXDYJFANKn8lgMusB/LKBXzbUbZ/j/HAg6leLkEpXRm4/4PERmyxoNy6ifp9Gg9ZTxiu/1gbJ7IHzo6Fo186htOufcnzBEkgFS6Dt/+HfZcBTMFSoim3bN8QP6ELCqD5gMOA5exlY9DKk3b9HbJtX3T5Ja5ajJcTjOJ7+w5TzVjBJS2YT1+td4gd3R70biufspUh+WfT950+nite24zvUO7dQL18AwPLBULTwMOI/aIf2IBxL75TrkOHl10BVM7RhAkAqXg71wI845gzFsWgcKAqGATNSyhDoD5xrF+CY0hvHx+NBkjAMnP7Yrqnya+8gN2yJc/0SHHOGgDUJw8BpYEi+TvtlwzBoJtr9UBxzhuBcMgHyFETpPDQljqbtwOKBY9ZA1CtnUDoNSkl34ZJIhUqi7s3Yxi0AjGa0eyGo29eluVtuNxApa3bUDYtRV0xCiwpH7jxCb0xIh1T+JaTGbdAObENdOhb1+9VI5WogvdI6JZDFE7nHeHA6Ub+ap4f7+WtIjNf358yH1LAV6rfLUb9djtTobb2hEkCWkd/ogvrjFxnaMAGglK+Mffu3JA7rQdL4gWAw4DF9MZhTrtNyqXJ4TF2E8+QxEod0I2FwV+w/bHpi2pxB14nv1NT1SRjZK2Wn2aKfB43EMf1IHN4TyWDEMnGu6zptbPoWSrFSJA7rgX3nVswjproOl3LmxtjkTWxfrHim+fFXUonyqPt+wDFrCI6FY0AxYBj8lzoWfBXnmvk4JvXCsSi5jg2emX4dM5mRChTD+eN6HNP741w+DXLlQ+k32S2YYcAUUBQc80bjmDEA7eYNlP5TwTcrAHKz9mDxxDG9v17H3nu0jpVCKlwS9ZetzzpL3Oj3se04543AuXQCKApKv6l/uY/5o25djXNWf9SvFiKVqYLcYeBj49XCQlE3rcA5qz/OBaMgIkyP1zu5d7VvNpT+0/TG83nDcS6bjJS7AHKnwa445NffRbJ44Jw9WL+PtX/kPlaoJFKhEmj7vn/GOZJapl2nHw3bqgfaow1fyZR3ekJUOI4Z/SH6AUrr91PSXbW+3ugjGiaE5yRTGycWL17MiBEjKFWqFGazmWbNmjFr1izXfqfTSXBwcIamIWzXbu7/speEG4HEX7/BlZkf4oiPJ0u1qqCq2MLuu31yNmvKna3f44xPv6UXwJwrF2U+nM6pD/qh2t3n0Ajfu48zA4cQvv8AicEhhO38mRvLlpOreTNXGK8Sxbn19SYSbgRye8M3eJcoDoDB15cSY0dxfuRYngf7vDGoh39GCw1Gu3kDx6dzkAJyIhUq7hZOKlAUpck7OFbPfap4ldfexvn9V6gnj6DdCsSxajZk9UeuUkcPIMsYOvTF8c1K1H0/ot27jRYagvr7gZRz5i6A89g+tHu3UfdvR8pTIDlyBUOXQTi+WARaxj7QASQd2EfS4YM4QoJxBAcRvWQhakIC5goVkby98WrVmqi5s7EeP4b94nkeTByDuXIVTOUrPjZeJUcOsoweT8TYEWBPex4WS516WGrVIWr+nFT7jIWLkPD9FhwhwcRv24IxuaFP8vHBr98gImdOTXVMRrDPHYN6eBfa7eQytCq5DBVOoww1bYPj04+eKl71yC84t61DPX8izf1SibKQPSeOlXPQbgXq5WzlbL2nRZnKAMh5Cuhl8HYwzl+2IflmBR+955ax6yCcG1c+9q3Os6CumIJ2fC/cvQmhQXojQbYckL+oHuBOCOrq2Wjnf4eIu2hXz6Ju/xKpXHWQ07+Ea3/sR9u1Ee3K6bQDPE28OfOhnjwM90NRj+yCnA9/NCko7/bB+c3y51LHEsb0x/7zD6jBN1BvXCVpziTknLlRiicvN62qaJERbh9j3YbYD+yGpMR043Xs3Ynzz+Nod26jBt8gacV8JC8f5CIlkgM43OONicZQ62VsO1MeZOUChbHt/hH19k3su75HLlBY3+HljblrX5I+/jCjssXFuWQi2m+/wJ0QuB2Ic+18JP8c+pvEZNrhnWjXzulvw25ex/n9Wr2c+edIN1650VuoP32NduY3uB2Ec8088PNHqlQLAKl8DXA6UL9eBvdu6z/O1i9BrlIXsufWw+TKj/bHQQi7jXp4J1Ku/MmRKyjt+6OuX/JcyhDXzqLt/c69t8RD/jmR8hfTGwFCA/X6sH0tGE1I5V9KP878xSDkKtrZ3yAqHK6fRzt7DClvyksVqW5ziI5A2/aZ3usoORyR9/X9Abn1t6KBF/XPvZv6W3RAqt0ULfiynqYMljRxMI5ftqOGBKIGXiVp/lTkHLmRi5VyhTH3HIL9+2+wb1qLGhKIdjsEx+E97r1E0qI60SIfuD7ERLt2KWUqIuXITdL8aajB11GDr5M0fwpy8dIoFasBIOcvhOPYQdSQQOw/foucJRv4ZtHT1G8U1s+XpDT2ZBDn4vFoR3fDnWC4FYjz83lI/jn1HkPJtEM/oV09BxH3IOQazq1f6HUsIGfakSYm4Fw4Fu3EIbh3S+9tsH4ZcqESkC27HsbbFylnPtSfNurlJywU9bvVSGYLUt5CAEi586P9vl+vYwd/0nspgt5A0GkA6lcfZ3gdU5dPRju2B+6GwO0g1C8XJt/H9Jc03AlB/WwW2rnfIfwu2pUzqD+sQypX4/H3sRMH0C6f1vP0bgjqlk+RPLyQ8iR/93LV9WvQphV6L42Qqzi/XoZcuY6rHpEzP+qJg/p97NedkPORa1Dbvji/XvZcrkGZdZ1+SCpbDbl0ZZybP00Vh5QrP+pve/Q8+u2XlOu0hxdKy/f0PBLcSfLz+fwHZeq3/uSTT1i1ahVLlixh3bp17Nu3jwULFjBx4sTMSZAsk7vVmyienkT9nvoHj2/FCvhVKM/NrzY8Ph5JouLyjwlcspy4y1ceHzaZ0ccXe1SU6+/Y8+cJaFAPJImAhg2IvaC/pSs1ZSLBn60hKTSN7lrPg4eX/t/42JRtJjOG3mNxrPsYoiOfHEf23EhZ/FEvPPKQmBiPdv0iUlH9x4ZUsDhStuygahinrMC0cCPGoTNdN2MA7eYN5NKV9bdL5auh3dQf4JRmbVEvnUYLerq8f6ZkGY8mzZA9PLGePoWpTFkko4mkYylDXBxBgThCb2OqWCn9eCSJbDPmELvmMxzXr6UZRM7mT9ZJ04gYNwotKSnVftuVy5hfqg2ShKVWHWxX9PzIMmQEcRvX47x391991X/sYRmK+0sZ6jMOx9rFT1eGnoJkMIGG+4Oz3Qaapg/zANSQG8lDPkzI5aujRYZDbDRyrVfQ7HbUE5nwpsDDU/9vQlz6YSxeeqPJs36b+td4bwfpQzpkWe+O+7Ab+itv6w9QN9MumxnOywcALTY6zd1y8dIoxUph/2nr08dpMGBq/jZaXCzq9bSvHYba9ZF8/bDvSmmcUK9fwVC5BkgSSrVaqDeuAmDpPRj799+g3X/8sIAMkVzHtIT/a+++46Mo3geOf3bv0iihQ2ih996liQJSRASpIiBSVJqAKCoiTaRJU0RBEFGaoFRBEBEQRJAqSJMiVXoPEEKS3fn9MUkuRy4FJbl8fzzv1+temt29veeG3dm92Zlnbnle7+uHWf0p1JXzcP2K522yBmFkyIz91x7XsrBQ1InDGAVKAGA4fSAyEmL3mIvQ3fuNQqV0DP+c0N3NTROzZEVU1LAgs0Er7KP7UKeP/vvv+bA4op4wxq4rlNJ/BxeN/31njkGu/JA7qkEqUzaMImVRR/+M2cQoVh517iRm616YAyZjvjoco2Id18dc/Aey5Ih5skyWILj0j95Xhdq6QcULjLTp9P/cDtF/Z8iEo3hp1M1rBIyfQZq5qwkYMxWzZMKN7ABmrrykmb2SNDOX4PfmcIxssX6s+/gAStfN0cLDQdk4ovZtHT+Go2R58PXDUbEa9tXLEHID5xMNITwca+tGUlxUPa3uJHCO1XwKdfk8XLuc9P2mSYuybQiNamy5HYK6cAazen39hN00MR9/GhVyHXVKnzvqnxMYxcvrdaUqof6JOscatsY+/GfMdinKP+o6H18dBLqeepDrmMOJUaMRKvQ26uxJvczpA9b9dZA+lqLvJzl7AqOoroOMEhVd17H6LVFH93nvOpZC9TQA6TPiaN9HN1x4GIKl/jmujyHDwChRIaaedrToir1xZfyfL0Qy8GrjxIkTJ6hRo0bM3zVq1GD9+vVMnz6dgQMHJvDOhyt9ieI0OHmMRudOUXr8WHZ36sLtI3FvTvO2b8etw0e4sWNngvsr1Kc3KtLi5PS4rZOepCmQn3wvd+H0167upoeGvE+6IoV58o8dpC1YgEND3idT9ccILF2Kswu/o8IXn/PEzt8pPX4shk/crlvJwjBwvtAT+8h+14UBcLbrgTp2APuPhHNMxOwmg+6KqO77EapCbmBkyKy3ya5bvJ3NX8RaMY+ISe+h7tzG550JMT9MrB8WgGXh++EczIo1ifxyPEaO3Jg1G2Atn4ezU198P5yDs+dg1w/iZOJTuCi5t+4iz44/yTxoGFde703k8b9xZMmGCg9H3XK/+FjXruLImjXe/aXv/DJYFrfne+6CDJB5xGjufLeAiIP7Pa6/OXEsPgUKknP1Opz58nNz4lj8KlbGt1gJQlcsJ8uHk8j5w1oyvTfMY/e/ZGEYODv0wj6yz/0YeqEn6uiBRPOUPAj774Nw7y6Oti/rmzpff5ztXsVwODAyZNHbbFqNOn0c3zFf4nj2BSI+HaFzmbR4icg5n+Bo2RnfcbPxGTBG52VIboaB2aIb6vhB/XTFk7TpMRu2QW15yENyPOzX/nkx2BaOwZ9jln0M65spkC0nZtUnsdd8i9mmh1730gA9Tj8lGAb+Pd8kcv8f2Cf/9riJb+NmWKeOYx380+P62JzVapN+xWbSr/od35btufN2D1TIDY/b+jRqTuTOragrrmFUYZ9PwgwuQLp5KzFzBxP2+SQcZSriKFSM8LUrCRg8hnRzvse/77vgTIE0T4aBo/Wr2McOwDn3nofm401wTlqMz8dLMUtV1l2LLc+9soyoLuMx+Vmi3boRs84+vBcyZMJ8qiU4nHrse/PO+v1Rdbm95luwLZzvf4lRrgbWnI8gWy7Mx+pjr/oGs11vnCNm4ug2MOWOoftdOY+6cQWjfmsdg8OBUfNpjAxZMNLFnwNL7fsdtWEJZpdBmIO/wNF3HOrkX6hfY+WjypQdo0pd1LUL2HPGo3aux2jcHqNcTddnr1uM2XEAZsc3db6KK+cxm76EvfZbKFwas+cHmK8Oh3wJNJQ8TIaB3yuvYx3Yi31Kj0k3gnROJd8XXibix+WEDemL9fdhAkZNwciVN95dWYcPEDbpfcKG9OPep2Mxg3IR8OHnMT/urb/2Q1gYvp17g58f+Pnj260PhsOJkVnXuZFrv8c6cZQ0Uxfg27YzYWMGQbpAfDu8wr1p4/Ht+CppZizC//2PMbJkS+bCQZ9jbbt7PsfqPINz8lJ8pizHLF2FyI/ejfcci8Ppg6NFF90LIlaPvciJAyFvIZyTl+L8dAXmUy30sJGoBmz7x4VgWThHzsKoUANr9iTInguzen3sH+Zjtn8N58hZOF5519X4nZwMA7Ply6i/E7qOBWI2aovasibx3ZWqgmP8tzgmLsZ8shnWp0Pgjm40U0f+hMBMGPWe03VQQFrMZzvpN0bXU2sX6evY0BmYZavrnBPZcmJWq4v940LMtj31us5vp+h1LKXqaQBHp/7Yv66KtzHYWjwTIygvzg9mYWTPrf8uXBryFMT+fR2ObgNxjpiJ2a63Lmehh52lxOsR5NUjLGvWrJw5c4b8+fPHLCtdujTr16+nbt26nEtC74B79+5x7557K+CDTkV6+9jfbH6yPs7AQHI2fYayUyaz7dkWbg0Upr8/uVo+x7EJkxLcV2C5suR/pRub6zVI0mf7BQVRZeF8Lny/gjNz5sUsv3fhAjtfeNH1+b6+lP7uG/b27kvhN/oRefs2Gx+rRZVv5xPcqSOnvkjecfEAzo59MPPkJ3xkP1dc5atjlChPxNDuD/fDoroyRa6Yj71TJ5aMnDkO34nfYFZ5HPuXH+DuHSI/H+X2Np+3xmEtnI6jel2MbDkJH/gSzs79cTTrgLXg84cbYywRJ09wsc1zGOnSk+aphmQeMYZLXTv+q335lChF+vYdufB8y3i3SfdCR8y0aQmZOT3ebaxLl7jyWqx/Fx8fsk39gqvvDSTwlR7YoXc436wx2T6bQbrWbbn9zdx/Fe+DcL7YBzN3fsI/cI2JNStUxyhZnojBrz7cD7t1k4gp7+PTqR+Op54DpbB/X4994oirC6dl6d4asWPsNgBr7VLMfIUxK9UkfNArOJq0xdmhF5GfDH+4Md7HbPUqRlAw1sfxNM76BeB4ZQjqwhns1Yn04HoQ8e03LBR79kT3GHuNwF7+FUblOpAlB9bInpjP98Js1BZ72ayHF1M8/Pu8gyN/Ie706+J5A18/fOo25t7ceHKR3Cdy7w5uv9oOM0NGfJ5+jjTvjeXOay+ibrjf7BlZs+OsXJ27H7zttlxdvczd91zHMz4++I/5lLsfDsWvfTdUaCi3X2pBmtFT8HmmJRHLFj7Q931Q5vM9MXLlI3L8m3HW2ds3YB/6AyNDZsynWuB8eSCR495MvFt+fM6fxvp6Io6W3TCbvaQTJP6yXI9pjj7HwkKxvnQfduboNxpryUzMqk9iZA0icugrODr0wWzyAraHLsfJzrawF36C2awr5jufoWwLjh9EHd0LJHBzmL84Ru2mqB9mo/45DpmzYzZuD7eeRW2K6l1jGHDuBGrdYgDUhdOQPQ9G5SdRe3XPLLVzA2rnhpjdGuVq6oSiZ45hvjYGe/pwCMyE2aoH9kcDkv5j91/y6zEAM19B7g6IVSebuhwiVi8l8mfd+BJ+/AiOcpXxeaop4V977vZt7drq+uPkMe4ePkDaWctx1q5H5E8rIOQGYaPfxa/XW/g82waUTeTGtVjH/nI9UbcswqeOI1bfCvz6DSbi+28xCxXD8VgdQnt3wLdVR/xefYOwUe88zOKIw2zXCyNXfiI/fCPOOnv7euxDu/U51qAVzlfeJXJs/8TPMYcDx6uDwDCw5rknYHa80Atu3cAa9yYqIhyzVkOcvYcROaqvTpx5NxRr5lj39/Qfg7XoC8xqdTGyBRE5pBuOjv0wm7THXpS0uvHfMlt318NuP3rb8wb+ATi6R11vVs1PdH/q6J9YY/pCukDMGg1wdHkba/wbcPumHuox5yPMFl2haSc9xG/jClTIdVdvirBQ7K/dhxybr32AvWwWRpUnIEsQ1ojumC+8htn4eeylyX8/nZL1tPnks+AXgP3jt/FvdPMq1mfDXH87nTj6jCDy64mYjdtBWKiup18bgVm7MXYK5JoSjy6v9pyoVasWS5bE7bJYsmRJ1q1bx+rVqxPdx+jRo8mQIYPb69dff32gOFREBKEnThKy908OfzCKWwcOkP/Vbm7bBDV9BkdAAGcXJjzzQ+bHquGbLStP7tlJowtnaHThDGmC81Li/aE8sXu727Z+QTl4bPkiru/Yyb7XByS430Kv9+HKLxsJ2fsnmWvW4MLKH1CRkVxcuYosNWsk+N6HwdmhN2a5aoSPedOte5dRsjxG9lz4frYc35lr8J2pW8GdvYfqXg4eRPeYiO5BEbOvwIwxiXrUDT2ThYrdohwZgbp8HiOesXdmrYao0NvYf2zBKF4Oa/cWnYRsxybM4ol3Pf1PIiOIPHOaiEMHuDl5IhFH/iJ9+xexrl7G8PXFSJ/ebXNH5ixYVzx3k/OrWAkzcxZy/biePLv2k2fXfpy5c5PxjbfJuUonjfWrUg3fsuXJs+NP8uzaT84VutxzzF9E5hGex7gHdutO2NYtRBw6gF/lKtz9+SeIjOTuurX4Va76EAvDM2fH1zDLP0b46DfuO4Yq6GNo2vf4zvoJ31n6yb2zz1B8Bv637Otq/y7CB3QkvHdLwns9R+TnYzAyZdVdbT0wSpTHyJ0fa+0yjBLlsfduh/Aw7O2/6Czsychs+QpGqSpYU96Dmx5mcvELwNFjGOreXeyZo8G2Hs4HP8B+jWr19BCs/dsxCpdG7dumx5Pv+U0/ZUlm/r3fxlmtNnfefMWt90JsPo/XBz9/ItYmPpsSAGFhqHNnsA7tI2zC+yjLwqdx87j7bfgsKuQmkVs2Jbg7v3Zdidz1O/bRQzjLVSLy13VgRRKxeT3OqDH0ycVs2wOzdFUiJ70DNzwcQ2GhcPkc6th+rOmjIEdejPKerx8q+klcoHs9TfqMrnWA2vELke90IHJgRyIHtMVeOQ/SZ0Bd8TxszKj+FITeRv35O0aRMqi9W3XjwO7NmEXL/Kvv/VCcP4U9bQjW6B7Y4/thz50AAelQ1+Pvkm8++Rxq7xbU7k16KMZfu1HrFmHUbuJ64nXrBur+rPmXz+khHJ6kSYfxRDPs1XMhT0G4ekHPGHLyLzAdethHMvLt/iaOqrW4O7An6qrrHFPXdJ1tn3HPf2GfOek+TCMxd25jnz2NmdPV28L6Yxuh3Vpyp30j7rRryL0JwzCyZMO+4PkBlaNsJczgAkSs/A5HmYpYO7fAvTAif/0ZR5mKD/BtH5zZridm2WpETnhL5w+5391QuHQOdXQ/1rQPICgvRoWaCe/U4cDxyrsYmbMTOWmgW68Jo3h5jLJVsWaM0T0RTh/Dnv8phIfroR4eGDWegtA7qL2/YxQti/pjq74X2vUrZrGy/+XrJ8ps/SpG6SpYnwzyXAf5BeDoMVxfb2aMTNp1LPweXDkPJw9jz/8ELEvXI1HUro1Yg17EGvwS1jsvYK+erxNmxlcHRV/H9m3DKFJa54yxLdQfmzEKJ38dlNL1tFG0HEbB4jg/WY5zygqc788EwPnOxzg69ccTs1Fb7IN/wOljmEXLYP/xW9S1foueeUnoXCkp8XoEebXnxDvvvMOuXZ6T2ZUqVYr169ezePHiBPcxcOBA+vd3P7nGjRsH+w//+8BME9PXPUN33g7tuPjjT4RfTXj6x7PfLuLKRveb16rffcPZbxfxzzeuJ2Z+QUE8tnwRN/f+yZ+v9XMfL3eftEWKkKvlc2x+Ql+IDNOMGcph+PiAw/Eg3+6BOTv0xqxUi4gxb8Sp7K0fFmBvdG9E8h35Bdb8qVh7fve8w8vnUTeuYpasgBU99aN/GoxCJVAbdGusOnkUFRGOkTOPTjAFuqtt1iDPP0rSZ8DZrIOrV4fpwIguF4cj5U9w08Tw8SX84AFURDj+VavHzIzhzFcAZ67chO/d4/GtoSu/5962rW7Lsk79gtCVy7mzTE+3d2PsSEI+/dj1cdmyk33aTK6+1Z/wfXETIDoLFCRN4yZcbPtc1Bscri7mTmeyl4+z42v6GBrdP+4xtPIb7F9WuS3zHT0Ta95UrD/cy+Ffix43XaI8BGb0PHzExwfni32InDZKP/U1TIg+tRzOZE1MZLZ8BaPsY1hTBrlN3xUjqgGByAjsGR/8+yfd/2W/aQMxG7bF+jjqqaRpuuqeZC4fiGqYqPUkoW+8jIrnRwuAT+NmRG7diLp54199jmEaGB5maPBt9Kxu8EjgqbUZXABn3Ubc6f581ALXeWYk83lmtu2BWb46kRPf0cnjEmNEveIb0nXlAurmNcxi5bCjp5vzD9CZ/3/1MFPUrRt6t9WfgogI1KE/4m6TLhDH0+2IHB/VGG+ari7CKXAMJcm9qASqmXNArgKoDQnkfPDxi5tI777x8+rMUYwsQe5zEGUJgpueG6eNhi+gtv6ku2nnKqCPoWhm8l7LfLu/ibN6Hd0wcdG9AVddPI995RJm7nxuy83cwVg7H6Ce9g/AzJmbyPUeHj5FJcp0lK2EkSETkds8NAT6+OLXYwBh44bosjYdroag5D7H2vXELF9DN0wk6RwzEj7HwNUwkT03kRPeds/nBa6ZHO4/zpTy3OU7XQYcz7R39epwq6eT9/gxW7+KUbY61uSBnsvHPwBHz/f19ebz/3AdMwwMp0/ceb2i66DH6us66PCeuO9NF4jZuB3WpKjZywzTdY45kv9eyBv1tPXtNFgx27XLDJlx9hmJNXMM6sRfcfcZlBezyhN65g64r552pI56Wvy/5tXGibJly1K2bPwtcKVLl6Z06YSfxvn5+eHn5+e2zPkA43qLvfcul9atJ+yff3CmS0euli3IUrMGO1q3i9kmTYH8ZK7+GDue7+BxH49v/ZXDI0ZxcdVqIq5fJ+K6e3dgOyKSe5cuc+eY/iHuFxTEY98v5u6Zfzg05H18s7qeoIRfivuUpszEcRx6byhWqL5pur59B8Ed23Pn2HFyt23NuSXJNz+8s2MfzOp1ifh4CCosFKJ7O4Te0UmHbl6PkzsCQF275PYj1Gf0l1jfzcTerbuxWj8twdG0PerCWdSVCzhavATXr8asJywUa8MKnM07EXH1Mly9iKNxGwC3GTti4nyhJ5E/LopphVZH92PWqI+9fxdmnSaoowceYqm4y9Cnv56t48J5zDRpSfP0M/hVrsrlHt1Qt29zZ+liMr75NnbITezbt8n0znvc2/OHWyNC0LJV3Jw8kbvrf8a+eQP7/h9WEZFYV64QeUo/tbIunCf28wZHqH7SEvnPaSwP045mHvI+N8aPQd3Vx1D4nt2ka9mGyFMnSdu0GaGrk29aWmenPpiP1SPio8EPdgxdve8YGjML67svXEkq06bXma4z6vPHiHoSp25ei0mqadZuiDp3GnXrBmbhUjg79MJasxjlYd55R7OO2Hu3oU7p5Fjq6H6cz7+K/esaHPWbY0c3kj1kZutXMSo+jvXFKD2zRPqMekVYqC4fvwAcPYeDrx/WnEl6TGz0uNjbITE3rY53P8VeOUdn7AZIk04n1YvJ45Jb38yFXNc3cUncb0ycLbphb1imuxED6vghzMpPYv21B6NGA883OQ+Jf5938KnbmNAhr6NCQzEy6X9zdee2W3IvI1deHGUqEjrI8/R0ab9czL2ZU4j8bQP4++P3Qjcit27EvnoFI0NGfJu1wciaXc/yEYujQlXMnHkSTbDp//p73Js6AaIS1FoH9uDzdAvsf07j81QTIjYkPr763zCf74lZ5Qmsae/rH9fRT9HuRp1jWYMwKz2OfWg33LqJkSkrZsPWEB6uZ2uJ4hz6Odayr3RvBsBevwzz6edRl8+hrlzE0bSjnnlij+vHqFnnGezjh+BeGGaJCpgtumAv+8rj7AmO1q9i/7wkpmeQ+vsQRrW6cGg3Zq1Gej/JxddPNzhEMTJmRQUFw93b+pguWUUn77t5FbLn0cMz/tqtZ9aIfs9zL0PIdZ0XAlBH9mBUbwgXTqP++Rsy58Co20L/KIp64KC2/oTRdRBG7WdQB7Zj5C6IUekJ1Iqv4sZYsBRGlhzYy6K63Z87oWccKFxGn8fK1k+Qk4FfzwE46zTk7ogBcPcORiZdb6g7d2LOsYgl8/Bt/zLWiaPYx4/gU68JZp58hI1yDUPzHzkFa+svRKzUZeTbtQ+R235FXbqAkSUrvu1fBtsmYqMrt42z/jPYZ06ibl7HUaIMfq/0J2LZN6izcfMV+LbrQuTOLdjH9bBb++BefLu+RuTalfg80xrrUOJ5Zv4N84VemFWfxPpsuK6nPZ1jletgH9wFt29iZMyK2bitPsf2u3rNOt+fgbVkFmrPlqihHO9hBBcmcsoQ/SMwer93boEViTp+CEJv4+j8JtbKebrHRO3GkDUH9r7tceJ0tH0Ve+1i173Q3wcwHqsHB3fr7vjHDiZP+bTpgVHpcawZIz1fx6IbJnz9sGZPAP8A/QL369h7U7G//1pfx3z9MBu20d/z5jXdsFC7CWTMop/kRzEeb4I6/hfcu4tRvDxm8y7Y33/tsQ4yW7yMvX6p+3Ws6pNYf/2BUaOhLu9k4rV6+vpliHWLpaJmsFKXz3vsueFo/xrWdzNiznv774OYtRphXTqLWa0e9k4vJKBNjR7RfBApIVVkNdm+fTtbt27lwgX9QyQoKIjq1atTtWrydzX3zZqFcp9Oxi9HdiJDbnHr4EF2tG7n1vshzwvtCDt3nisbfvG4j3RFCuMMTO9xnSdZn3ictAULkrZgQertd3+6tCp66qMoeTt15N7ly1z66eeYZUc/HE/5zz+jxk8/cGXdBk7N/CrJn/2gHPWeBcB3oPu484gvPsTenPSEfGbOYKw0rqSU1qqF4OePs/PrkCYd6sh+Iia8AxGulnRr4XSwLHxeeQd8fVF//0XE2DfjzGJglK6MkT0X9nTXcAZr3XKMAsXwGfIJ6vhhIpbFn1jyvzIzZybzB2NxZMuGffsWEUcOc7lHN+79rp/OXx83moy2TZYJH2P4+hK2ZTPXR77vtg+fAgUx0iX9GHoQaVu1xbp6lbBNv8QsuzltCllGjyfH3G8J++1Xbi9MfNznv+Wo1wwA30Hu+Voipn+IvTnpP9bMXMFYAelcf1eogc8rb8X87dNrMACRS7/GWqqfEhg58+Js3Q3SpUdduYj1/TysH+MOzTJy58esWoeI91xjrO0dm7BLlMNn0CTU+X+ImDoyybE+CLOWnkLY2cc9f4o172PU9vUYeQth5C+mtxninjclcvjLMT0tjBx53JJ5GaWr4mjvyoXgeEk/rbZXf4P944Ik7xfAKF4BI2tO7Lmuf0P16w+o4MI4+o9DnTqK/eOCf1cASeD7rG6YTDvRPR/B3Q+HEvGTa+yrb6Nm+t85nie5juACrlkILBszb34CGjyjh5SF3MQ6coA7r3eNSQIYs9/GzYjcvwf7zMl4Y/Rp0hJ1/SqR21zDCu/N/pyAd0eR9pOvidy5hfDlCYz5/Q8cdZ4BwNnfPbdD5NcT9dR1EeEYhUvhrNtMN1qF3EAd20/k+Dcg1ownRlBet+TB9k+LwNcfxwuv6Xr67wNEfjLE7Ymnkb8Yzmc6gF8AXDyDNW+Knhr3PkaJipAtF/ZXrrHf9i8rcOQrgvOtSahTh7F/mBfnfQ9NrgI4XnLlIjAbvaBj2LMZtewLjPQZMBo+D+ky6KEYe7egNi13/w4ZsqBi9XJUm74HpTDqtsBInwlCb6EO70Gtj9Xj89wJnc+iXiuMOs3g+mXUj/NR++47Rp0+mE93wF401dWTMuQ6avVczObd9NPmpV88vF5T9/Fp0gqANGOnuS0Pm/Q+kT/rxuuI5QvA1xe/l/thpA/EPnGUu+/1QV04G7O9mTM3dtQ0nwBGluz4vzUCIzAD6uYNrAN7Ce3fFWIlnTXzBOP7Uk+MdIGoS+cJXziLiGVxc+qY+QrirFWf0NdcD4oif1uPo2xFAj78HPufU7pHRTJwPNEUAOeb7lNdR86aoKcYjQjHKFIKZ/3mrnPs6D6dbyK+cyxjVsyo6R59hkx13+/4t3Syx9shWB+/h9n8JZz9x4LDgTp3WjeS/OM+xMYoWQmy58L+0hWjvWEFjnxFcQ78CHXyCPbK5MktZdaOuo71He223Jr7EWrbOow8hTAK6GlpnUPdc15EDu3qfh2LLh/bhhx5cFStB2kDITRET1f80Tt6ytIoRr6imE+/AL4BcOkf7AWfonZs4H5G8QoY2XJiz3Hdz6pNP6CCi+B4YwLq9JGHm8vpPt6sp5PKrNVYf26sBjX7h3k4uryl6+mDu7B/SeKQSSH+JUOpBMYTJLNLly7RokULtmzZQnBwMDly6KcaFy9e5PTp09SsWZPFixeTPXv88/t6Mnz4cKp8Mi3xDR9RO6KSJL5z4sFyczwqxhSoDUCXJcl3kfpf9mUL3avonb8THnv/KBtT6HEABl3bnciWj6aRmfW48Nd/XZ7Ilo+mSbV1g967F7Z5OZLUa1RQNQDeUycS2fLR9IGhpzd9Y/uqRLZ8NE2oqn9Mv3v2IQ0d/H9oVG7dcDLoSsIz1D2qRmbVOYSknvZsVFA1hg4d6u0wko06tS9FPsfI58VcTF7i1YFDPXv2xLZtDh06xMmTJ9m2bRvbtm3j5MmTHDp0CNu26dWrlzdDFEIIIYQQQgghRDLz6rCONWvWsGnTJooVKxZnXbFixZg8eTJPPPFEygcmhBBCCCGEEELcT3JOJBuv9pzw8/MjJCQk3vW3bt2Kk+xSCCGEEEIIIYQQ/794tXGibdu2dOrUiaVLl7o1UoSEhLB06VI6d+5Mu3btEtiDEEIIIYQQQgiRUowUej16vDqsY+LEidi2zfPPP09kZCS+vnpu+fDwcJxOJ127dmX8+PGJ7EUIIYQQQgghhBD/y7zaOOHn58fUqVMZO3Ysu3btcptKtFKlSgQGBnozPCGEEEIIIYQQQqQArzZORAsMDOTJJ5/0dhhCCCGEEEIIIUT8JCFmsvFqzgmAu3fvsnnzZg4ePBhnXVhYGLNnz/ZCVEIIIYQQQgghhEgpXm2cOHLkCCVKlODxxx+nTJky1KlTh3PnzsWsv3nzJp07d/ZihEIIIYQQQgghRBTDSJnXI8irjRNvv/02pUuX5tKlSxw+fJj06dNTq1YtTp8+7c2whBBCCCGEEEIIkYK8mnNiy5Yt/Pzzz2TNmpWsWbOyYsUKevbsSe3atdmwYQNp06b1ZnhCCCGEEEIIIUQsj2avhpTg1Z4Td+/exel0tY8YhsHUqVNp2rQpderU4ciRI16MTgghhBBCCCGEECnBqz0nihcvzs6dOylRooTb8ilTpgDw7LPPeiMsIYQQQgghhBAirkc0H0RK8GrPieeee45vvvnG47opU6bQrl07lFIpHJUQQgghhBBCCCFSklcbJwYOHMiqVaviXf/ZZ59h23YKRiSEEEIIIYQQQsTDSKHXI8irjRNCCCGEEEIIIYQQXs05IYQQQgghhBBC/O94RLs1pADpOSGEEEIIIYQQQgivkp4TQgghhBBCCCFEUshsHcnGUP8Pp8MYPny4t0MQQgghhBBCiEfS0KFDvR1CslHnj6bI5xg5i6TI56Qm0nNCCCGEEEIIIYRICuk5kWz+3zZODDyzxdshpFqj89YAYNDlHV6OJHUama0KAIOu7vJyJKnTyCyVABh0cbuXI0m9RuaoCsCgsL+8HEnqNNK/OACDru32ciSp08jMFQEYFPKnlyNJvUYGlgXgPfO0lyNJnT6wgwEYdPeQlyNJnUYGlADkOp+Q6Gv90AH9vBtIKjV83EeAlE98ostHiAf1/7ZxQgghhBBCCCGEeLik50Rykdk6hBBCCCGEEEII4VXSOCGEEEIIIYQQQgivkmEdQgghhBBCCCFEUkhCzGQjPSeEEEIIIYQQQgjhVdJzQgghhBBCCCGESBLpOZFcpOeEEEIIIYQQQgghvEp6TgghhBBCCCGEEEkhOSeSjVd7Tly6dMnt7z179tCpUydq1qxJq1at+OWXX7wTmBBCCCGEEEIIIVKMVxsncubMGdNAsWXLFqpWrcqpU6eoWbMmISEhPPXUU2zatMmbIQohhBBCCCGEEJphpMzrEeTVYR1KqZj/HzZsGB07dmTmzJkxy/r168fw4cNZt26dN8ITQgghhBBCCCFECkg1CTH379/Pyy+/7Lbs5Zdf5s8///RSREIIIYQQQgghRGxGCr0ePV5PiHnr1i38/f3x9/fHz8/PbZ2/vz+hoaFeikwIIYQQQgghhBApweuNE0WLFgX0EI+dO3dSoUKFmHUHDhwgV65c3gpNCCGEEEIIIYSIYTyi+SBSglcbJzZs2OD2d86cOd3+PnHiBK+88kpKhiSEEEIIIYQQQogU5tXGiTp16iS4vm/fvikUiRBCCCGEEEIIkQjpOZFsvD6sw9vMxm0xK9bEyJkXwsNRfx8kctFMuPhPzDaOjn0wS1SAjFng3l3UsUNELp4JF84k6TMcHfrgeKIJkQumYf+81G2dUaYqjqbtMfIUgIhw1JF9RH46XK9Mmx5nlzcxipVDXTqLNWsi6szfrv2+0At15QL2T4v/e0EkwGjQGrNcdciRR8d4/BD28q/g0lm9QZp0mE3aYxSvAJmywe2bqD9/x145F8LizxninLLS43Jr6ZeodUtc+27dHaN0VVA2as8W7EXTITxMr8+cHceL/SFvYThzDGv2RLh2KWZfZvchqN9/Ru3Z8jCKwiPjqVaYZatDjty6fE78hf391+7l0/gFjOLlo8onBLXvd+wf5iVYPmbjdhgVa0PGrGBFos4c02V66ohrozTpMFu9osvHtlF7t2IvnuFePh1eh7yF4MzfWHMnuZfPK4NR235G7d2aDCWjGQ1bY5av4X78LJ3lXj7PdMAoEev42fs79oo5CR8/n/3gcbm1ZCbq56jjJ3suzOe6YhQqAQ4fOHsCe+Vc1JE/XZ/dqT9GkbJw+RzWnI/gn+Mx+zLb9kBduYBatzTuBz1ERp1mmKWrQLZcuoxOHcH+8Ru4ct61kdMH8+kOGOWqg8MHdXQv9vJZcPtmvPt1jv7G43Jr1TzUr/r8c7w1GSNTNvf1P36D2vi9/iNjVhxtekLuAnD2BNa3n8GNKzHbmp0GoHZuRB3Y/i+/feKM+i11HZQ9D0Tc0+fYitn3nWPtMIpVgExZ4U4I6s9t2KsSPscAfW5WfwoC0ur9fjcVLscq9zwFMZ/thJG3sK6D9m7FXvql6xxLkw6zfV+MImXg8nms+ZPh7AnX/lu9irp6AbVh+cMulhhG3ecwyzwG2aPqoFOHsVfOgcvnXNs89hRmhVqQpyCGfxoiB3VMvGwatMFs2NZtmbp0FmtsH8/bdxuEWaIi1qyxqP1Rx0NAOsx2r2EULgVXzmMt/My9fFp0Q129iNq44l9++yQKLopZvSHkzI+RPiPWt1Pg8B+u9WkDMeq1wihYCvwD4NQR7DXz3erL+xkVHscoWx2y5dYLzp/C3rAEzkV9P9OB8eRzGIXLQMZs+v7hxEHUusVw+4bexuHEeOYljGLl4fZN7NVz4cQh12dUbwiBWVBr5j/c8rj/uzzRDLNUVcgeqw5aPT9uHdSkA0bZGuCMqoOWfZlgHYSvH2ajFzBKVYY06eHaJewtP6K2/Zz0/QakxWzTU//bXD2PtehzOHcy5u1ms86oa5dQv3q+JjwMXr3OA0bJypiN2kKu/BAZgTq2H/uLUa7P7tDPvQ6KfR1r/SrqykXUhmUPt1CSaN7C75j59VwuX71K8aJFGPz2m5QtXSre7Vev/ZmPP/ucs+fOkz84L2/26U2d2jVj1iulmDx1Ot8tXUbIrdtULFeWYe++Tf58wQCEh4cz6P2RrPtlE9myZGbowLep8VjVmPd/8fUczp+/wOB3BiTfl34AUj5CuPP6bB2fffYZ9evXp02bNnGmDL1y5QoFCxZM1s83i5XF3rCCyFH9iJw4EBwOfPqPAl9Xck516iiRsyYQMfhlIicNAgN8Xh8FRuLFZ1SogVGwOOr6lbjrKtbC2e0t7N9+ImJ4DyLG9Mfe5hrq4mjSDvwDiBjRC3X4Txyd+rneW7A4RsHi2GuT90cTgFG4NPamH7DGv4k1ZTA4nDh6j3CVUYYskCEz9tIvsUb1wp77EUbJSpjtE+75Ejmwg9vLmvsRyrZRe36L2cbs9CZGzmCsKe9hTXsfo3BpzBd6u9a36Iq6cRVrTB/UzWuYz3V1xV2xNiiVrA0TEFU+v/6ANXEA1qdDwOHA0XN4rPLJrMtn+SysMa9hz/sYo0RFzBdeS3C/6tJZ7O8+xxrzGtZHb8O1S3q/6QJjtjFffAMjKBjr0yFY00dgFCqF+Xwv1/rmXVA3r2J92BcVcg2zeWdX3BVqxfzYSk5G4TLYG3/AGvcG1uT39PHz2gdxj58lM7E+6Ik9e5I+fjokcvy808HtZc2epI+fP1z/3o4ew8DhwPr4XawxfVFnT2D2GAqBmQAwG7XF8AvQx8+RfTjax/rRlb8YRv5iqPXJ96MymlGwBPbWn7A+G4I1c5Quoy4DwcdVD5lNOmKUqIg972Os6e9jBGbC0f71BPcbObK728taNE2X0X73hgRr7bdu26kta2J9bgdUyHWsyQNRt25gPt3BFXeZx8BWydowAdHn2CqsSQOwPhuqy6fHsHjOsT5R51gFzHYJn2NGvRYYjzfB/nYq1qQBEB6Go/swcProDQIz4+j5vr7hn/QW1rThGEHBbnWb2aC1PobG9Ucd24/jeVf9RL6iGPmKon5J3h/eRqFS2Ft+xJo8EOvz4WA6cLwyxO06ho8v9uE92NENv0mkzp8mcljXmJc1ZZDnGB5/xuNys35LDD9/rIkDUMcO4Gjd3bUyuAhGcBHUpuT7URnDxxd18R/9499TnG16Y2TMhr3wE+wZw1E3r2K2fxN8fOPfZ75iqP3bseeMw541Stex7ftD+owxn2kEBaN+XYH9xXDs7z7FyBKE2dZ1XBoVH8fImU+/f/cmzOdiDWXNmBWjwuOoDQ/2b/ZvGAVKYP/+E9ang7FmjtTXsa7vutdBz7yIUaIS9vyPsKYPx0ifCUeH/gnu12zyIkbRctgLP8Wa+Ab2b6sxn+2MUaJSkvdr1n1On2OfDEQdP4SjRayZ3fIWxshbGLV51cMrDA+8eZ03ylXH7Pg69rZ1WGP7Yn30NmrXxpj1ZoM2unw+fB11dB+OWPcA5C8WVQd9/1DLI6lWrVnL6Akf0evVbiydP5viRYvQtWcfrl675nH73Xv+5I2Bg2nV/FmWfTOHek/UoVf/ARw55nowN+Or2cz5ZiHD3n2Hb2d/SUBAAF179eHevXsALFy8lAMH/2Lh11/QpuVzvPHuYJRSAJw5e5bvlizj9d49kv/LJ4GUz/8yma0juXi1cWLy5MkMGDCA4sWL4+fnx9NPP83o0aNj1luWxalTp5I1hsiPBmFvWYs6dwr1z3Eiv5yAkSUHRr4iMdvYm1ajju6HqxdRp49hLfsaI0t2yJoj4Z1nzIKzXU+sL8aCFem+zjRxPt8d67sZ2Bt/gItn4fxp7J2bYjYxcubF3r4RLp7F2rQKI6du9cThwNGhD9acyaDsh1UU8bI/G4ratg4unNZPnudOwsicXfdWAP206IvR+gfPlQuoI39ir5itn+abCRxit264vYwy1VBH98HVi3p9jjyYpSrrpwCnjsDxg9jfTcOo+Li+EQCMHHl1bJfPobatwwjKo98bkBbzmY7YC6cmV7HEsKcOQ21fr3vSnDupb0rcyuc09pdjUPt36PI5+if2yrmJlo/atQl1ZK8ujwtnsJfOxAhIi5Erv94gRx7MkpWwvpkSVT6HsBdP140ygVHlE5RHx3b5vC6fHHn1ewPSYjbpgP3d58lYMpr9qe69wvmo42f2RH3+BMc6fmaMQu2Ldfx8PxujTLWEj5+Q624vo9xjukfE1Qt6fdpAjBy5sdd8B2dPwuVz2Mu+wvDzx8iZT28TlBd71ya4dA77tx8hKKp8TAeOdr112abEOTZrDGr3Jrj0D1w4jb1oqu7NkLuA3sAvAKPyk9g/zEEdPwDnTmAt+hwjfzHXcebJ7ZtuL6NEJdTxg3D9vqfB98Lct424F7PKyJZbx3b1AmrXRozsUU+J/dNgNmiD/f2XD7k04rKnDY/nHCukNzh/GvvLsagDO3ScR/dh/zAXo3SVBI8hs05T7J++03XXuVPYcz+CDJl1owvop722hb3oc/2E9PQxrG+n6p5AWYP0TnLkwf5jsz6+tqzRPYRAH0NtemB9OzXZjyF7xgeoHRvg4hl9Pi2YgpE5G+QpFLON+vUH1PqlcZ7IJr5zy72uvnMr7ja58mPWeRZ74adx1+XIg73nN7hyHvv3tbr3C+jyafUq1qLpKXKO8fd+1C9L3XtLRMucAyNPIezVc+D8SX2tXzUXfHwwSlWLd5dq2QzUrqhyv3oBtfIrMAyMAiX0BvfuYs+biDq4U9fjZ49jr56n6/CoOpqsuVBH9uhr2M71GGkDIU06AMzGHbDXLXL10klG9qwx+gfvpX/0+fRdVB2U5746aOUc1N8HdC+qRdMSrYOMfEWxd2+Kqncuo7avg/OnMKLP3aTsN1tu7L1b9DG07WfdQwj0MfRcN6ylMyHqx1Vy8dp13jQxW76Mvfwr1G8/6t5QF86g/nA9xCFHHuzdv8aqg2Jdx9r0wFqY/HVQfGbNnU+bFs1p2awphQsVZPigd/D392fxMs8NtrO/WUDtGo/RrVNHChUsQL9e3SlZojhzF3wL6F4Bs+cvoMfLXaj/ZB2KFy3ChyOGcenyFX7eoBts/j5xkrp1alOkUCHat2nFtevXuX79BgDDRo3lzb69SZcuXYp8/8RI+QgRl1cbJz7//HNmzJjBlClTmDNnDhs2bGDSpEkMGTLEe0GlSav/6+kGDHQXxZoNUJfPw7XL8e/HMHB2fQtrzSLUubgNLEa+IvrmUSmcQz7FZ/x8nH0/wMiVL2Ybdea47iJompilKqOiuumZjdqgDv+JOnX0337L/8Y/qoxCbye8TVgo2Em8IKbPiFG6CmrrTzGLjAIlUKG34fSxmGXq8B5QCiNfMf332RO6jAwDo3gF1NmTgO4xYG9a6db9PMXElE88xxBAQJoHKx+HE6NGQ1TobVRUl2ijQHFdPmc8lE/+qFlwzp7EKFrOVT5RXWHNZi9hb17lnfIJiD7HEjh+HrR8oo+fLa7jhzshqAtnMKvV1U+3TBOjdmNUyHVU9DF19oQuH9PEKFExpru50aAV6uifbsdeivJPo/97V5eRkbsghtOJOrbftc3lc6jrlzGCi3jYgQfpMuhjYOeGOKvMOs/iGDwdx2ujMWo/43YzrS6cxihUWh9DRcqiLpzW72ncXv/YvOn5CU+yCogqn/9SB2XJgZEhs/5hEC0sFE4dwSig6xecPhAZ6f7DJ6rhxihYUv999qTuTm2aemhb1Dlm1Guh/73OeOEYij5+EqqDkiprThxDZuB49zPdYyRjVvf1Pr442vfDXjJDN17c79xJPazBNPXQhfP6emg82Vz/GP3n77jvSWnOqBGukRGxFir9b5/U8wt0LwPTgbp7J/5t/ANQynZ19b94BiNvEX2sFSqNunUDQm9jlK6mH2p4akxJCf7u55iRJ7oO2ufaJroOylc03t2oU0cwS1SK6a1mFCwJ2XJiH/0z6fs9fwqjUCl9DBUtpxu6AaNOU93ocfY4KS6FrvPkKYSRMSsoG8dbH+EY8RVm96EQ/bAK9DlWtKzrOhZdB9X3Yh0EhEdEcODQX9SoViVmmWma1KhWhT/+3OfxPXv+3Ef1alXdltWq/hh7orb/5+w5Ll+5So1Y26RPn45ypUvF7LN40SLs2rOXsLAwNm/9nWxZs5IpU0a+X/Ujfr6+PFX3yYf9Vf8VKZ//cYaRMq9HkFdzTpw4cYIaNWrE/F2jRg3Wr19P/fr1iYiIoF+/fikbkGHgbNsd++j+OA0K5hPP4GjVDcM/AHX+DBETB8btDRF7+0Zt9BO3dcs8f1TUUzfHsx2IXDgdrl7AbNAK54BxRLzXFe7cwlq9EEeHPviM/gp15SKRX02C7LlwVK9PxOh+ODr0wSxVEfvkUazZk+BuwuOHHwrDwGz1sr6pPB9Pr5a0gZiNn0dt+THpu61WD8Luug/BCMwY92bXtvXNQGBG/efSLzHb9cIxfCbq3Ensbz6FQqUw8hTAXj4Ls8vbutvwX3/oXgIJ/Js9FIahx1D/fTDmBiqOtOkxG7ZF/bbG8/rYuytVGfOlAfqmN+Q61mdDXA1n6TMlUD76RtBe9iVm2144hn6hy2dhVPnkLoj9/deYnd/SXWL/+kPnqkiJ8mn1CupYYsdPO/2UKKm7fczD8QNYkwfheHUwjomL9A/MWzewpgyJ+dFvr/ku5vjh2kWsuR9DtlyY1ephjX8Ds10vjBIVUaeOYs+bnOgY/YfCMDCfeRF18i9X7pv0GVCREXE///ZNjPQZScozQ6Pi43AvTPcuiMXe8iOcPYG6ewcjuChmo7aowIzYP+ju7/aquZjPdcPx1mTUhdPYS7+A/MUxcuXD/nE+Zru+GHkK6N4KK74Cy/rvZZDgF4k6x44ndo61cW+sul96fY7cfw6pWzdi1qmjf8JzXTDqPqdzIvj6YTbtpDeMPsd+XozZpjuOwZ/DtUu6t022nJhVn8Sa9DZmmx4YxcrrseQLPk3+Y8gwMJt3Rp04lOS8SPFRp4+iFkxBXT6HEZgJs0FrHL0+wBrfT/e2IWq8/6nDcY6raPb6pZgtX8Ex8DO4fknnLMmaE7PKE1iTB2K2fCWqfP7W+T5S4hy735ULqBtXMeq2RP0wG8LvYTzWACNDZkiXIUnnF4BRr5U+no4f9LyBw4lZr5XuqRPVG0Lt2QzZ82B2HwF3b2Mvngr+aTHqNMee8yHGE89hlKoC1y9jr5jluQHoYTMMzGc6uddB6TLGXweli78Osr+fhdniZZzvTkVZuqHPXjIdTvyV5P3avyzXddCAj+H6ZazFn0OWIMyKdbCmDsZs3lU3nJ49jr14Oty7+zBLI64UvM5H3yuajdthL52JunYJ88nmOF4bhfVBdwi9jb12EWabHjiGTI+qgz6JqoPqYk18S9dBxSvoOuibKSl2jl2/fgPLssiSObPb8ixZMnP8pOfr/5UrV8nqYfsrV3Uj+OUrV/Uyj9vodS2bPcvho8d4umVbMmXMyEcfjuJmSAiTp37OnBnTmPTpVFatWUtwntyMGjaYHNmzP5Tv+6CkfITwzKuNE1mzZuXMmTPkz58/Zlnp0qVZv349devW5dy5c/G/Ocq9e/dixlFFi4z8dz+wHO17Y+TOR8TYN+Kss7etxz64GyNDZhwNW+HsPojI0a/f96RFM/IVxlG/ORHv94qzzrWRfjJp/fANavdm/f+zJmCOm4tZqTb2plVwNxRrxhhi3+o73xhL5KIvMB+ri5EtiIj3uuJ4sR+Oph2wvp3+r773gzDb9MDImQ9r0lueN/APwNFjKOr8aewfkp7Ay3ysPmrnLx7LM0E3r2JPe9/1t9OJo9f7WHMmYjZ6HsLuYr3/Kmav9zFqNUJt9JyE82ExW3fXOTI+fsfzBv4BOF4dgrpwBnu152SFsamj+7DG9oN0gZjVG+Do/DbWhDcTTkAW281r2NNHuP52OnH0GI417yPMhm10+XzQA7PHMIyaDZN97LfZtgdGrnxYE+JJtOQfgKPnMP0jeOW8pO+3+lOoHb/EOX7Mtj1Rt25gT3wLIsIxazbE0WOoLtOQ6xAWij1rnPt7+o7CXvolRpUnIGsQ1rBXMNv3wXy6HfaSmQ/2hf8F89nOGDnyYk0b9nD3W6mOzudyXxnFHqutLpzGtiJ17pYfF+jGqpDr2F/HKiOHE0fngVjfTcWs+xzcu4s14Q3Mzu9gVK2P2pr4zfh/+h6tXtV5Vj4e6HkDvwAcryT9HEvQhTPY8z7GbN4Fnumoc7RsXIkKue7qTREWij17onuMvUZgL/8Ko3IdyJIDa2RPzOd7YTZqi71s1n+LKRFmi5d1+cSTG+JBqL9cT+3V+VNYp47geG8aRrmaqO3rMEpVxihcBmvim/HvJCwUe95H7jF2H6aH/lV8XJfPmNcw2/TAfKo19oqv/3PcD8y2sL/7FLPpS5gDPkHZFhw/qBunkvjkyqjRGKNUVezZH3pu5DUdmK16AAZq1Ry3z1Y/znP7cW807YzasQ6CgjGKVcCePgyjRmPMhi9gL/rsP33VpDCbdcEIyos1deh/3pdRoxFGcBGsrz9EXb+CUaAEZrMu2CHX3XuCJeTeXewFn7jH+PJ72KvnYpSvBZlzYE3oj9nyFcz6LWMaVpNLil7no44/+6fvYvJD2fM/xvH+LIzyNXV+oLBQ7NkT3GPs/YGrDsoapK/z7XpjNnpeJxv9f8zHx8nQge73qAOHvk/Hdm05+Ndh1m3YyPKF8/jiqzl8MHYCn0wY66VIvUPK5yF5RHs1pASvDuuoVasWS5bETfRUsmRJ1q1bx+rVqxPdx+jRo8mQIYPb69dff33gWBwv9MIsW42I8W+Bh+SV3A2FS+dQR/cTOfUDjKC8mBVrxt0OdBff9Bnx+XAuPp+vwufzVRhZg3C0eRmfMfrGS0V1hVbnYrW6R0agLl/Q4/E9MGs2gLu3UXu26kSef2wBy8Le+StGsbIP/J0flJ41owrW5HfhxtW4G/gF4Oj5PirsLvaMkXqsclIUKoURlBf7/qecITdcicVigjB1xu+QG55jbNBG31Cf+RujSGn9JN22UHu36H+XZGS2ehWjVGWsT96Lv3x6DEPdu6uzbCelfMLv6WzpJw9jf/MJWJaeWQDg1vUEyue65xifao06HFU+hcug9kaVz59bddfrZGS26Y5RpirWRwPjL5/eI3T5fP7Bgx8/9z2hMoqVwyhTBfvLsXD8EJz5G3vBZxBxD+Ox+h53ZTxWH+7eQf35O0bRsqi9v+vy+WOz7jabzMxnX8IoXhFrxggIiTVc4tZNDKePq6t1tHQZ9JP+xOQvhpE9N/aO9Yluqs4cw3A4dcZ5TzE+2Rx17E84dwKjQEmdDNO2UAe2YxQskXgs/4HZ8hWMUlWwprwHNxM5x2aOTvgYuhV1jtx3DhnpM7rWoceEW4NfwhraGWtgBz2LSrpAV26T+xjV6uljaP92jMKlUfu26fLZ8xtG4dIP+I0fjPlcN4ySlfSPyuQYbhMWCpfPxzzNNQqXgSw5cHwwG8eH3+L4UI97Nju9iaPHcI+7MKo8qcvnwA6MQqV0L4LoOrpQ/Bnqk92FU9gzhmN92Bt7Un/sbz6CNOlQ1xMYvhnFeKwhRs2nsedN0Dkb7mc6MFt2hwxZ9DYJ5ZDIVwwjWy7UjnUY+Yrrcy0iHHVwB0QNZ0xO5rOddR00/X33Ouj2jfjroOiZR+7n9MFs+LzOJ3FoN1w4jdq6Rl9vaj/zr/drVKoDd0NRB3dhFCypy8a2dL1doOS/+t5JleLX+ahrefRwOkAPN7pyIc4sS9Fi6qB92zCKlEH9GX0d+w2jSPLWQbFlypQRh8MRJ7nj1avXyJoli8f3ZM2ahSset9c9AbJl1e97kH3+vmMnR/8+Toe2rdm+cxeP16pBmoAAGjeox/Zdu/7Vd3sYpHyE8MyrjRPvvPMOZct6vuEvVaoU69evTzT/xMCBA7l586bbq3bt2g8Uh+OFXpgVauiGiSsXE39DdGtZdEb3+9hbfyZyWHcih/eIeanrV7DXLCJikn6apU4dRUWEuxI4AjgcGFlzoK56iCFdBhzPtCdyftRTE8MBDmfM+5Iyc8h/YbbujlGuOtbkQa6ElbH56x+WWJHYn494oB4QZvWnUKePuk0vB6BOHMJIk86V9A5i8ieoU4fj7ihHHozKT+gp9CCqjBxRH5K8ZWS2ehWj7GP6R9O1eMqn53CIjMSe/sGD9xCJ+SBD38gB6sRfHsqnrC6fkx6S3uXIg1Gpjp7aDHRDRswx5Ew4+eR/ZLbpjlG+OtZH78Z//Lymjxt76vsPdvzUaKDzr9x3/MRkUb8/UZpSnlu80wXq3hELp+m/DdN1/KTEOfbsSxglq2B98QHc94NInT2OiozUuR+iZc2JkSmbPncS23flJ3XOmgvxdEGOxciVD2XbcDsk7spsuTDK1cD+6buoHZv63AJ9DCXnOdbyFX2Offqe5+kdo34UEBmBPSMJ59jVi6ib19wbnfwCIF9R1AkP9cutmxAepme5iYhAHd4bd5u0gZgN2+qu5RB1jqVQ+TzXTTf+TR2W4PSX/4mvP2TNoXuOoIdsWBP6Y018I+YFYC//CstTcsy0gbp3xNKoHkgpWAcl2b27Os9C5uyQM79OVpkAo3ojjNrPYM+f5HmoWnTDROYc2HPHQ0L5KBxOnQRz1ZyoeirW+WU6kr18zGc768a/GSPi1kH/RNVBhT3UQfElWXU4MZzOuHWwbcecCw+837TpMeu1xP4+qgeS2zGUvGXklev8mWP6XjF7rHtF0wGZc3huOEsXqHtHLIpKdn1/+STzdSw2Xx8fSpUoztZtriFftm2zdftOKpT1/DCkfNky/L7dfYjYlt+3UT5q+zy5c5Etaxa3fd6+fZu9+w943Oe9e/d4f/Q43n9vIA6HA8u2Y3pXR0ZaWJZ3EoWClI8Q8fHqnUDZsmXp3LlzvOtLly7N0KEJdyv08/MjMDDQ7eV0Jn20iqN9b8zH6hI5YwyE3dXjiAMzuaYPyxqE2bgtRr7CkDkbRqGSOLsPgohw7H2u6fN8RnyBUSEqf8adW3r2j1gvrEjUzeuu8Zthodi//IDj2Y4YJStCjjw4Ougpp+ydcXt+OJ7vjvXT4piWevvvA5jV60HOvDjqPK3H8CcTs00PjCpPYH01Tj85S59Rv6LLyD8ARy89tag172M9R3z0NrEuhI73puo54WPzD8CoUCturwmAi/9gH9iJ44XXIF9RKFgCs013PXOAh6eCjnav6aRs4XqYjzp+EKNmQz2rRbW6qOOH4rznYTBbd8eoXAdr9nh9DHkqn57vg6+/Hgvqn8Zz+Qz6DKOsniUAXz/MZzpC/mL6CXbeQpgv9NFP3v7Y7Cqfg7v01IXBRaBACcxWr6J2/+r+xCt6/8/30vkCYsrnEEb1Brp8qjyZfOXzfE+Mqk9izRqnb/zvP8f8A/TUon7+OudDQBrXNrHLZ8g0jHIejp+KtXSG8vuo439B6G3MF/vrWS+y58J8rgtkyaEzqt8fZ6tXsNctjXkir44fxKxaF4LyYtRspHMcJBOzWReM8rWwFk7RZZQug35FN4Deu4vauQGzSQedUC5XARytuuub91jJzhyvj8coWdl9534BGGWqYe+ImwiT4CIYNRtDUDBkyo5RviZmk456HHxY3B9Rjudexv5hTkxSSHXqCEbVujpPR4Xa8f9I+Y/M1q9GnWMTPJ9jflE/Cvz8dc6H+M6xdz91nWOAvXGFnoavdFXImQ+zQz+4eQ217/eYbYzaT0OegrphptbTmK1e1Q2gHn5kmi26YW9YFlM/qeOHMCs/qRsGazRARY+zf8jMFi9jVHoca+5H+viJ/u7OWNNgps8IufK7ZhnJmU//HeDKym52H6qPh+i/m74IBUvqOih/MczOb4Fto6LroFs3dF6L2C/QiXY9NJCYzTtjb1wRUz+pk39hVnocsufGeOwpneMgufj46VkMomYyMDJm1f8fPWtGicq6Z0LGrFC0PGb7N3QyyuOua6vRrCtG3Rauv2s0xniiuc61cuMKpA3Ur+jpN6OHcuTMj71suj4Wo7eJbnSIxXi8qU4MGd2I+M9RjOKVIHsejCp1kzWxodmsC0aFWlgLPkmkDuqo66DcBXC07hG3Duo/QefIiH7P8YOYT7fX78mUDaNSHYyKj7tylCRxvzFxPtMJ+9cfXD0KTh7GrFBLn59V63l+cPEwysdb1/mwu6jffsR8up1O/p09N2ZbPc1jzHkYO84W3bDXL3Ovg6o8EVUHNdS5aFJQ5w4v8O3S5Sz9fiV/Hz/BsFFjuXv3Li2a6Z4zb703lAmTXQ2ZL7Z7nl+3bOXL2fP4+8RJPpk2nf0HD9Hh+TYAGIbBiy88z9QvvmTdL5s4fPQYbw0eRvZsWan/ZJ04n//ZjJnUqVWDksV1r6OK5cuydt0v/HXkKHMXfEvF8uVSoBTiJ+Xzv0ymEk0uXs05EW379u1s3bqVCxd0N9mgoCCqV69O1apVE3nnf+d4sikAPm+Nd1se+eV47C1r9Tj1oqUxnnpOT+8VcgP7yD6db+KWa9y/kTMvRkDaJCfOArAWzQDbwtntLT0H+4nDRI5/O04GeqNUJYzsubBmfhizzF7/PUa+ovi8+zHqxBGsFck3xtJ8vAkAzn5j3OOfM0lPT5m3MEaB4nqbYV+4bRM5pEvMTaoRlNeVZT+KUelxMEDt3Ojxs+2vx+tkc699AEqh9mzxOP2lUbMR6tYNtx+d9qr5mC8NwPHmRNShXcmWT8Gs/TQAzj6j3ZZbcz9CbV+PkaeQnhYNcA5xzwsSOaybq3xy5HF1bbVt3WBVta7uQn4nRE9j+/E7bknu7NkTMFu9qnutKIXauxV7UdzcI0aNhrp8Dux0vXf1N5id3sDxxnjUod2oX5OpfKKPn9fdxy1asyehfv/Z/fh53z2nQ+R7ne87ftK6rTcq1dHHzw4Px8+dEKwpQzCffRFH31H66dH5U9jTRsTpZWGUqIiRLRf2165xu+qXlajgIjgGTESdOvJAOVQelPmY7sLrfMW9p5j13VTdGAfYP8zBVAqz/evgdOopV5e7jx02sueO0z1aNwgaqL2/EUdkBGbZ6lCvpf4Rcu0S9ubVqM1xjwWjaj3U7ZtueQjsnxdhPt8bR88RqCN/on5PIAHlf2DWij7HRrktt+Z9rM+xvLHPMff6IXL4y57PMUCtW4Ly9cds2xMC0qKOH8KaNtztiacRXBSzcTvdq+LiP9gLP9P5ce5jFK+AkTUn9txJrv3/+gMquDCO/uN0UtUfF/y3goiHWbMRAM5eI9yWWwum6ClGAbN6A8yGbWPWOXt/EGcbI0sQpE3vuo5lyIKjw+uQNj3cDkGdOIQ1eSDc8dCrJhFGsfIYWYKw50+OWaY2r0blKYyj7xjU6WPYP337wPtNslz5cbzoGmdtNngeAHvvb6jvv8RIlwHjqba6vr11E7VvC2qT+3R+RmBmVKxeAEalJzCcPjha93Tbzt64HLXpez2LULEKADhecR/mYs3+EGL/kM6WG6NEFewZw2IWqYO7IF9xzE5vw9UL2Etn/KciSIhZvQEAzlfdHwhZ303VU4wC9srZmMrG7NDfVQctc6+z76+DrPkfYzZqh9m2t76Hun4Ze80C1La1MdskZb8ARpGy+hj61vVjTW1dg8pTEEevD3RS1Z8X//fC8MCr1/llszAtS5ePry/q5BGdU+a+BtKYOmhOrDpo00pdB70xXl/HVidPHRSfpxs+xbXr15k8dTqXr16lRLGifPHpxzFDDM5fuIgZq7dLxfJlGT9qBB99Oo2JUz4jf3BePp04jqKFXT1EX37pRe7eDWPIB6MIuXWbSuXL8cWnH+Pn5+f22UeO/c3qn9axbKHr/rhR/Xps37mb9l1foUC+fEwY5V5npjQpHyHiMpRK5smhE3Dp0iVatGjBli1bCA4OJkeOHABcvHiR06dPU7NmTRYvXkz2B8wUO3z4cAae2ZL4ho+o0Xl1D49Blz1nV3/Ujcymn/oMuipj7TwZmaUSAIMubk9ky0fXyBy6YXVQWDI+Cf4fNtJfN0YNurbby5GkTiMzVwRgUMifXo4k9RoZqIfjvGcmPlTpUfSBraeaHHQ3ZZ+U/68YGaDz48h1Pn7R1/qhA/p5N5BUavi4jwApn/gMH/dRor3f/6fdSEIagIchY46U+ZxUxKvDOnr27Ilt2xw6dIiTJ0+ybds2tm3bxsmTJzl06BC2bdOrVwIzXgghhBBCCCGEEOJ/nleHdaxZs4ZNmzZRrFjcDNTFihVj8uTJPPHEEykfmBBCCCGEEEIIcb9HMx1EivBqzwk/Pz9CQuIfu3rr1q04Y6SEEEIIIYQQQgjx/4tXGyfatm1Lp06dWLp0qVsjRUhICEuXLqVz5860a9fOixEKIYQQQgghhBDRZLaO5OLVYR0TJ07Etm2ef/55IiMj8fXVUzKFh4fjdDrp2rUr48ePT2QvQgghhBBCCCGE+F/m1cYJPz8/pk6dytixY9m1a5fbVKKVKlUiMDDQm+EJIYQQQgghhBAuxqPZqyEleLVxIlpgYCBPPvmkt8MQQgghhBBCCCGEF3g15wTA3bt32bx5MwcPHoyzLiwsjNmzZ3shKiGEEEIIIYQQ4j6GkTKvR5BXGyeOHDlCiRIlePzxxylTpgx16tTh3LlzMetv3rxJ586dvRihEEIIIYQQQgghkptXGyfefvttSpcuzaVLlzh8+DDp06enVq1anD592pthCSGEEEIIIYQQHshsHcnFq40TW7ZsYfTo0WTNmpXChQuzYsUKGjZsSO3atTl+/Lg3QxNCCCGEEEIIIUQK8WrjxN27d3E6XTk5DcNg6tSpNG3alDp16nDkyBEvRieEEEIIIYQQQsQiOSeSjVdn6yhevDg7d+6kRIkSbsunTJkCwLPPPuuNsIQQQgghhBBCCJGCvNpz4rnnnuObb77xuG7KlCm0a9cOpVQKRyWEEEIIIYQQQnggPSeSjVcbJwYOHMiqVaviXf/ZZ59h23YKRiSEEEIIIYQQQoiU5tXGCSGEEEIIIYQQQvx3n376Kfnz58ff359q1aqxffv2BLf/7rvvKF68OP7+/pQpUybBjgMpQRonhBBCCCGEEEKIJEmdU4kuXLiQ/v37M3ToUHbv3k25cuVo2LAhly5d8rj9li1baNeuHV27duWPP/6gefPmNG/enP379z/wZz8s0jghhBBCCCGEEEL8D5s4cSIvv/wynTt3pmTJkkybNo00adLw5Zdfetz+448/plGjRgwYMIASJUowYsQIKlasGDM5hTdI44QQQgghhBBCCJEUqTAhZnh4OLt27aJ+/foxy0zTpH79+mzdutXje7Zu3eq2PUDDhg3j3T4leHUq0eQ0Om8Nb4eQ6o3MVsXbIaRqI7NU8nYIqdrIHFW9HUKqN9K/uLdDSNVGZq7o7RBStZGBZb0dQqr3gR3s7RBStZEBJRLf6BEm1/nEDR/3kbdDSNWkfERyunfvHvfu3XNb5ufnh5+fX5xtr1y5gmVZ5MiRw215jhw5+Ouvvzzu/8KFCx63v3Dhwn+M/N/7f9k4MXToUG+HEOPevXuMHj2agQMHejyQhJRRYqR8Eiblkzgpo4RJ+SRMyidxUkYJk/JJmJRP4qSMEiblk8LSZEiRjxk9bBjDhw93WzZ06FCGDRuWIp/vDYZSSnk7iP/PQkJCyJAhAzdv3iQwMNDb4aRKUkYJk/JJmJRP4qSMEiblkzApn8RJGSVMyidhUj6JkzJKmJTP/08P0nMiPDycNGnSsGjRIpo3bx6zvFOnTty4cYPly5fHeU9wcDD9+/enX79+McuGDh3KsmXL2Lt370P7Hg9Cck4IIYQQQgghhBCpiJ+fH4GBgW6v+HrG+Pr6UqlSJdatWxezzLZt1q1bR/Xq1T2+p3r16m7bA6xduzbe7VPC/8thHUIIIYQQQgghxKOif//+dOrUicqVK1O1alU++ugj7ty5Q+fOnQF48cUXyZ07N6NHjwagb9++1KlThwkTJtCkSRMWLFjAzp07mT59ute+gzROCCGEEEIIIYQQ/8Patm3L5cuXGTJkCBcuXKB8+fL8+OOPMUkvT58+jWm6Bk7UqFGD+fPn89577/Huu+9SpEgRli1bRunSpb31FaRxIrn5+fkxdOhQSU6TACmjhEn5JEzKJ3FSRgmT8kmYlE/ipIwSJuWTMCmfxEkZJUzKR0Tr3bs3vXv39rjul19+ibOsdevWtG7dOpmjSjpJiCmEEEIIIYQQQgivkoSYQgghhBBCCCGE8CppnBBCCCGEEEIIIYRXSeOEEEIIIYQQQgghvEoaJ4QQQgghhBBCCOFV0jiRjDZt2kTTpk3JlSsXhmGwbNkyb4eUaowePZoqVaqQPn16smfPTvPmzTl8+LC3w0pVpk6dStmyZQkMDCQwMJDq1auzevVqb4eVao0ZMwbDMOjXr5+3Q0kVhg0bhmEYbq/ixYt7O6xU5+zZs3To0IEsWbIQEBBAmTJl2Llzp7fDShXy588f5xgyDINevXp5O7RUwbIsBg8eTIECBQgICKBQoUKMGDECyTPu7tatW/Tr1498+fIREBBAjRo12LFjh7fD8orE7guVUgwZMoScOXMSEBBA/fr1OXr0qHeC9YLEymfJkiU0aNCALFmyYBgGe/bs8Uqc3pRQGUVERPD2229TpkwZ0qZNS65cuXjxxRc5d+6c9wIW4gFJ40QyunPnDuXKlePTTz/1diipzsaNG+nVqxe///47a9euJSIiggYNGnDnzh1vh5Zq5MmThzFjxrBr1y527txJ3bp1adasGQcOHPB2aKnOjh07+Pzzzylbtqy3Q0lVSpUqxfnz52Nemzdv9nZIqcr169epWbMmPj4+rF69moMHDzJhwgQyZcrk7dBShR07drgdP2vXrgVIVVOOedPYsWOZOnUqU6ZM4dChQ4wdO5YPP/yQTz75xNuhpSrdunVj7dq1zJkzh3379tGgQQPq16/P2bNnvR1aikvsvvDDDz9k8uTJTJs2jW3btpE2bVoaNmxIWFhYCkfqHYmVz507d6hVqxZjx45N4chSj4TKKDQ0lN27dzN48GB2797NkiVLOHz4MM8++6wXIhXiX1IiRQBq6dKl3g4j1bp06ZIC1MaNG70dSqqWKVMm9cUXX3g7jFTl1q1bqkiRImrt2rWqTp06qm/fvt4OKVUYOnSoKleunLfDSNXefvttVatWLW+H8T+jb9++qlChQsq2bW+Hkio0adJEdenSxW1ZixYtVPv27b0UUeoTGhqqHA6HWrlypdvyihUrqkGDBnkpqtTh/vtC27ZVUFCQGjduXMyyGzduKD8/P/XNN994IULvSui++cSJEwpQf/zxR4rGlNok5bfF9u3bFaBOnTqVMkEJ8R9JzwmRKty8eROAzJkzezmS1MmyLBYsWMCdO3eoXr26t8NJVXr16kWTJk2oX7++t0NJdY4ePUquXLkoWLAg7du35/Tp094OKVX5/vvvqVy5Mq1btyZ79uxUqFCBGTNmeDusVCk8PJy5c+fSpUsXDMPwdjipQo0aNVi3bh1HjhwBYO/evWzevJnGjRt7ObLUIzIyEsuy8Pf3d1seEBAgPbnuc+LECS5cuOB2LcuQIQPVqlVj69atXoxM/C+7efMmhmGQMWNGb4ciRJI4vR2AELZt069fP2rWrEnp0qW9HU6qsm/fPqpXr05YWBjp0qVj6dKllCxZ0tthpRoLFixg9+7dj+z45YRUq1aNr776imLFinH+/HmGDx9O7dq12b9/P+nTp/d2eKnC8ePHmTp1Kv379+fdd99lx44d9OnTB19fXzp16uTt8FKVZcuWcePGDV566SVvh5JqvPPOO4SEhFC8eHEcDgeWZTFy5Ejat2/v7dBSjfTp01O9enVGjBhBiRIlyJEjB9988w1bt26lcOHC3g4vVblw4QIAOXLkcFueI0eOmHVCPIiwsDDefvtt2rVrR2BgoLfDESJJpHFCeF2vXr3Yv3+/PEXxoFixYuzZs4ebN2+yaNEiOnXqxMaNG6WBAjhz5gx9+/Zl7dq1cZ7KCdye3pYtW5Zq1aqRL18+vv32W7p27erFyFIP27apXLkyo0aNAqBChQrs37+fadOmSePEfWbOnEnjxo3JlSuXt0NJNb799lvmzZvH/PnzKVWqFHv27KFfv37kypVLjp9Y5syZQ5cuXcidOzcOh4OKFSvSrl07du3a5e3QhPh/KyIigjZt2qCUYurUqd4OR4gkk2Edwqt69+7NypUr2bBhA3ny5PF2OKmOr68vhQsXplKlSowePZpy5crx8ccfezusVGHXrl1cunSJihUr4nQ6cTqdbNy4kcmTJ+N0OrEsy9shpioZM2akaNGiHDt2zNuhpBo5c+aM09BXokQJGf5yn1OnTvHzzz/TrVs3b4eSqgwYMIB33nmH559/njJlytCxY0def/11Ro8e7e3QUpVChQqxceNGbt++zZkzZ9i+fTsREREULFjQ26GlKkFBQQBcvHjRbfnFixdj1gmRFNENE6dOnWLt2rXSa0L8T5HGCeEVSil69+7N0qVLWb9+PQUKFPB2SP8TbNvm3r173g4jVahXrx779u1jz549Ma/KlSvTvn179uzZg8Ph8HaIqcrt27f5+++/yZkzp7dDSTVq1qwZZwrjI0eOkC9fPi9FlDrNmjWL7Nmz06RJE2+HkqqEhoZimu63UQ6HA9u2vRRR6pY2bVpy5szJ9evXWbNmDc2aNfN2SKlKgQIFCAoKYt26dTHLQkJC2LZtm+SaEkkW3TBx9OhRfv75Z7JkyeLtkIR4IDKsIxndvn3b7SnliRMn2LNnD5kzZyY4ONiLkXlfr169mD9/PsuXLyd9+vQx4ykzZMhAQECAl6NLHQYOHEjjxo0JDg7m1q1bzJ8/n19++YU1a9Z4O7RUIX369HFylKRNm5YsWbJI7hLgzTffpGnTpuTLl49z584xdOhQHA4H7dq183Zoqcbrr79OjRo1GDVqFG3atGH79u1Mnz6d6dOnezu0VMO2bWbNmkWnTp1wOuWWIbamTZsycuRIgoODKVWqFH/88QcTJ06kS5cu3g4tVVmzZg1KKYoVK8axY8cYMGAAxYsXp3Pnzt4OLcUldl/Yr18/PvjgA4oUKUKBAgUYPHgwuXLlonnz5t4LOgUlVj7Xrl3j9OnTnDt3DiCmcTkoKOiR6V2SUBnlzJmTVq1asXv3blauXIllWTH315kzZ8bX19dbYQuRdF6eLeT/tQ0bNiggzqtTp07eDs3rPJULoGbNmuXt0FKNLl26qHz58ilfX1+VLVs2Va9ePfXTTz95O6xUTaYSdWnbtq3KmTOn8vX1Vblz51Zt27ZVx44d83ZYqc6KFStU6dKllZ+fnypevLiaPn26t0NKVdasWaMAdfjwYW+HkuqEhISovn37quDgYOXv768KFiyoBg0apO7du+ft0FKVhQsXqoIFCypfX18VFBSkevXqpW7cuOHtsLwisftC27bV4MGDVY4cOZSfn5+qV6/eI3XuJVY+s2bN8rh+6NChXo07JSVURtFTrHp6bdiwwduhC5EkhlJKJWfjhxBCCCGEEEIIIURCJOeEEEIIIYQQQgghvEoaJ4QQQgghhBBCCOFV0jghhBBCCCGEEEIIr5LGCSGEEEIIIYQQQniVNE4IIYQQQgghhBDCq6RxQgghhBBCCCGEEF4ljRNCCCGEEEIIIYTwKmmcEEIIIf4H/PLLLxiGwY0bN7wdihBCCCHEQyeNE0IIIUQyeemllzAMg+7du8dZ16tXLwzD4KWXXkrSvmrUqMH58+fJkCHDQ45SCCGEEML7pHFCCCGESEZ58+ZlwYIF3L17N2ZZWFgY8+fPJzg4OMn78fX1JSgoCMMwkiNMIYQQQgivksYJIYQQIhlVrFiRvHnzsmTJkphlS5YsITg4mAoVKsQsu3fvHn369CF79uz4+/tTq1YtduzYEbP+/mEdp06domnTpmTKlIm0adNSqlQpVq1alWLfSwghhBDiYZLGCSGEECKZdenShVmzZsX8/eWXX9K5c2e3bd566y0WL17M119/ze7duylcuDANGzbk2rVrHvfZq1cv7t27x6ZNm9i3bx9jx44lXbp0yfo9hBBCCCGSizROCCGEEMmsQ4cObN68mVOnTnHq1Cl+++03OnToELP+zp07TJ06lXHjxtG4cWNKlizJjBkzCAgIYObMmR73efr0aWrWrEmZMmUoWLAgzzzzDI8//nhKfSUhhBBCiIfK6e0AhBBCiP/vsmXLRpMmTfjqq69QStGkSROyZs0as/7vv/8mIiKCmjVrxizz8fGhatWqHDp0yOM++/TpQ48ePfjpp5+oX78+LVu2pGzZssn+XYQQQgghkoP0nBBCCCFSQJcuXfjqq6/4+uuv6dKly3/eX7du3Th+/DgdO3Zk3759VK5cmU8++eQhRCqEEEIIkfKkcUIIIYRIAY0aNSI8PJyIiAgaNmzotq5QoUL4+vry22+/xSyLiIhgx44dlCxZMt595s2bl+7du7NkyRLeeOMNZsyYkWzxCyGEEEIkJxnWIYQQQqQAh8MRM0TD4XC4rUubNi09evRgwIABZM6cmeDgYD788ENCQ0Pp2rWrx/3169ePxo0bU7RoUa5fv86GDRsoUaJEsn8PIYQQQojkII0TQgghRAoJDAyMd92YMWOwbZuOHTty69YtKleuzJo1a8iUKZPH7S3LolevXvzzzz8EBgbSqFEjJk2alFyhCyGEEEIkK0MppbwdhBBCCCGEEEIIIR5dknNCCCGEEEIIIYQQXiWNE0IIIYQQQgghhPAqaZwQQgghhBBCCCGEV0njhBBCCCGEEEIIIbxKGieEEEIIIYQQQgjhVdI4IYQQQgghhBBCCK+SxgkhhBBCCCGEEEJ4lTROCCGEEEIIIYQQwqukcUIIIYQQQgghhBBeJY0TQgghhBBCCCGE8CppnBBCCCGEEEIIIYRXSeOEEEIIIYQQQgghvOr/AA0YfaSeS/7/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1400x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df = merged_isin.copy()\n",
    "\n",
    "# Ajouter année / mois\n",
    "df[\"year\"] = df[\"Centralisation Date\"].dt.year\n",
    "df[\"month\"] = df[\"Centralisation Date\"].dt.month\n",
    "\n",
    "# 1. Nombre total de lignes par mois\n",
    "total = df.groupby([\"year\", \"month\"]).size().reset_index(name=\"total_lines\")\n",
    "\n",
    "# 2. Nombre de ruptures par mois\n",
    "ruptures = df[df[\"rupture_flag\"]].groupby([\"year\", \"month\"]).size().reset_index(name=\"n_ruptures\")\n",
    "\n",
    "# 3. Merge pour obtenir total + ruptures\n",
    "ratio = total.merge(ruptures, on=[\"year\",\"month\"], how=\"left\")\n",
    "ratio[\"n_ruptures\"] = ratio[\"n_ruptures\"].fillna(0)\n",
    "\n",
    "# 4. Proportion (en %)\n",
    "ratio[\"rupture_ratio\"] = ratio[\"n_ruptures\"] / ratio[\"total_lines\"]\n",
    "\n",
    "# 5. Pivot pour heatmap\n",
    "heatmap_ratio = ratio.pivot(index=\"year\", columns=\"month\", values=\"rupture_ratio\").fillna(0)\n",
    "\n",
    "# 6. Plot\n",
    "plt.figure(figsize=(14, 7))\n",
    "sns.heatmap(\n",
    "    heatmap_ratio, \n",
    "    cmap=\"Reds\",\n",
    "    linewidths=.3,\n",
    "    linecolor=\"grey\",\n",
    "    annot=True,\n",
    "    fmt=\".2%\",\n",
    "    cbar_kws={'label': 'Proportion de ruptures'}\n",
    ")\n",
    "\n",
    "plt.title(\"Heatmap de la proportion de ruptures (par année et mois)\", fontsize=16)\n",
    "plt.xlabel(\"Mois\")\n",
    "plt.ylabel(\"Année\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "aa5862ab-ec8e-47f8-8cb0-cd51503efed8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df = merged_isin.copy()\n",
    "\n",
    "# Ajouter year / month au cas où\n",
    "df[\"year\"] = df[\"Centralisation Date\"].dt.year\n",
    "df[\"month\"] = df[\"Centralisation Date\"].dt.month\n",
    "\n",
    "# Merge géographique\n",
    "df = df.merge(\n",
    "    geo[[\"Registrar Account - ID\", \"country\"]],\n",
    "    on=\"Registrar Account - ID\",\n",
    "    how=\"left\"\n",
    ")\n",
    "\n",
    "df[\"country\"] = df[\"country\"].fillna(\"UNKNOWN\")\n",
    "\n",
    "# Total des lignes par pays\n",
    "total_country = df.groupby(\"country\").size().reset_index(name=\"total_obs\")\n",
    "\n",
    "# Nombre de ruptures\n",
    "rupt_country = (\n",
    "    df[df[\"rupture_flag\"]]\n",
    "    .groupby(\"country\")\n",
    "    .size()\n",
    "    .reset_index(name=\"ruptures\")\n",
    ")\n",
    "\n",
    "# Merge + ratios\n",
    "country_stats = total_country.merge(rupt_country, on=\"country\", how=\"left\")\n",
    "country_stats[\"ruptures\"] = country_stats[\"ruptures\"].fillna(0)\n",
    "country_stats[\"rupture_ratio\"] = country_stats[\"ruptures\"] / country_stats[\"total_obs\"]\n",
    "\n",
    "# Tri (rupture ratio décroissant)\n",
    "country_stats = country_stats.sort_values(\"rupture_ratio\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "86d2a91c-d8d8-416c-8dc4-dc3f4ae7ca90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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QrpiN2qPfiHyzaPert5OfTbwuaU1Vrpn1XrdBGwsdsz7XJfx0r0mVDsRIzBqE6WDWLQyi4cKJshMK75xLFNzC8KkLqBPwg0OIPPXE/waTOJbKwT/VOY4z0zdMJ1vi4njoQhEWcZV8cZz7zwAXM945zzHSnqwOok7iePhMIvoh/iECct3aOETu6OAa15Im0hYti8RFnMSNn9CFPDkfHivKLYIr4nQiC5jClpniDJqFdS4zt2EfphkePEfh74K22Xg2KGuU8zif9VR5Iu9FXBZSJU3HRUAEREAEREAEREAEREAEREAEcpyAROu1uEGIwCyBRjTCIbaxxJqZh2sKBlEDcSOZv8qVKhgmADiPv2R+wmMII+E+wjWCWvg7us2MQGqWzTjDuBBZonlLto/4yv3hnnBvoo5jya7J9rFQjMtWvCE/BM4oD/Ypx/AK08JMS2bhMxN336Pb5wnKiGihn7XdhuU6vA4hD3u4rABgViZmCXA8Q6GfTGwT00EciMAwiJpywDQEW9FlJgAAEABJREFUQi3nQxeKbpjw4NkMxVdmhyNK4w/xklm8XEtZgy+OvJJn/KyrIz6EdQZvSB+8cNyrxDAR2DmGyMoWEwnUD8yi5jfpp45JvMeklXvOcfzhCisYM1CEMEoaCI80IfwyO5nfYVrYT3Th/SKt+Es8n+3fsCAvDGrAKuqYjR6mh4FLynKiX8pa6CfVlnJCecnGs5GJZz1VvjheksoC+ZETAREQAREQAREQgdJDQDkVAREQgaIlINF6LfiHS6ARjUKHUJFOEAhczBhO5jecvcx5/CXzEx5jBmS4X5AIGoq4UZE7vK4w22zGWVBciXkIRXpEo/DeRLfraps6MZ7C/A5F5MKEsTbXhvwQOKMsovvR8ouYFZ7DNjNL9xG8o7OH1yb+sFyH1zBbGRE10YxIeD5T28R0IAQz6xcu5HlN8SL6YsYCURfxldnBsIleh3D97JiB3i4yDCmHiJeJs1mj10T3EUajv8N9TE8g9iKKE0d4PNk2KrAjgmIuh7SGM5mpW6hjSDv3l3QmunAALp2BomRpCI8RB46Z3aQlccZ3mJbQf3Qb3i/Sir/ouaLYhwUDEtFBgyg3zLeE6eR5ip5jFQ7C9poGf7L9bFDuw3RSFrhXhXnWC7ovhI0rCWWhoHzqnAikTUAeRUAEREAEREAEREAEREAE0iIg0TotTPF4QvxA/MKURTTEUMzkfPR4sn3ErVCICmckhrNAo/4RtxHZEXOjx1PtpxM318YZJ+EV5AqKK/G6UKBFGEk8F9dvBFfu1bqGx0AC14YzYsM0cyyZK2x8a8Pvoccn5zMLggiHrWHKEGUpWfrWdAxW5IGZlvil7CLAkm9+x+XWFE5iOrgPzDJPd0AH0ZdnDhEY8TVq4oK4EcHfmvEpu3kO8RLBEnvViLB5JxJ2wnuUbFYxs4w5zioM/CVcmvQnrBHXxzw6ydvJj84I5wKe82R1EOeiDjaI7uFM6ei5xLISPRfuU37gxOAAaaEcIP6H59mmSkt4vziPv4LcupbNgsJMPFcQi6jfp1583RDoo8c6n9/cELwp+9HjifucX5tnY03lKjH86O/E+8e9SvWsx8GX8LNRFsgj5ZVyyz3jt5wIiIAIiIAIiIAIiIAIiEDJIqDclC4CEq2zeL/5WCLiV9TmKSIHvznO+YKSw2w9Zu2FQhRiAGIDIlS/IaPyLmVmLLPmMH3A7Mu8EwXs0Mmns0+nvwBvFmecBcXDOeIir4hwOI7hwvyxHzpmofbo2NLgk7gcH8bndB6wmqAUXpvONhSamWkb+icdmIMIfxe0Rdjs2f9Ow75reE8QIhEkkw06FDY+0gK/sHyQTkRQjuPYv7jXUCNd/H7/4y+tWdur8jEK8xqmBX/pOpiH5ZpZllyHoJpYxtaGIWGsrUuWDmwTIyRGBzjw1/qi/kb6EuOAY1gOOReauGA/dJc4ljyf4W/Cw6QHNo8pm+HxxC1hI+jxDCcOZqU6Rzw834lh8RvWuDtGP+nt5JNXjoeOOoa65tyuA/PufXiOcHH8DkV3ymxYRjjOs/XclOnsrtHBCSGWtBAn4n/0ojAtlBN4cY4tv/HPeY4lc4SFn+izw7Wp7mGyMNI9FrLgGaK8Rq/jN0w49vMvv9sJZ/XMx5X6lDJF2cdPKsd5/OE/9EPYxBn+DrfJ/HLfUpWJ8Lpwm86zHjffTJaFMF9sEdl5thPLPefkREAEREAEUhLQCREQAREQAREQARHISQISrbN4WxChWEqOkBXaR2XLb45zPpocBNio/dTQ3ikiSugPAfSJ+/obAlnoF6ED8wQsAQ/9rWlLmJhL4FrCwY5uVKyKXh9XnNEwU+2TLvISpou0ITaS1sRr8MsS/igL/MMYYbAg8TAxrMTf5Ll/z/MMYYgwcaSDtCX65TcCFPHiDxfaTw7NL+CH+z3gynbGrElsCuMvFMDWNj7CS+YIZ9L4wf5UGAfxsF+lUsW8jyxe2am1t6seTTOziilbhOEDKOAPM5fJI2HjCCexXHN/4JV4LzlWQNBrdSqddFAOMLcRLSeInYP7dPCzYpNFiAiGGNb8+AbG9VE/8EksG+Qfv9H7Hb0muh8OCoSDBNFzPMMMPkXZcj5Z+ec4ZYqyzj7xJ6aV89Q1iWFyz7jfiItciyPtif5gRpklHPwU5IibMoAfRP/Ea/hNWvADL9LAlt8c5zzXJnOcIx3RZ2dN9zBZOOkegwXlNFp2SS+ifjiDnHvFoNTKe9XG24XnPPbbKfsFxcX5xPBT1S/45f5H00LYHGO7JpfOsx4330yWhTC/DFpQhik/xBce11YEREAEREAEREAEREAEREAERKB4EigeonUOsEWQSMcucjr+EEBCe6Js+Z0si5gX4HzoUsVPBz1qTxf/CBvRMBHWuJ70RY9H9znHtTj8cg2Ofc5F/RYmzvDaVPmOxsM+eSFNoeM60kOeCQs/oeM3x0O/4Rb/oZ9UW8LlWsJI5idZOjgGHzhFr0HgREAP42ebLA3ERZycx5GGMBzC5ljoOMexxPg4ThiEFV4b3SJAIQKG4YRbrgv9JfNTUJjhdeEWMyKIc2HYbKPhh/5IP+dChx+OrW2ewvASt+mmA1bkL0wH+7vsUNvYJrtPoc3hUGBOjJc8hGGF22ThJF7Hb8oOYieCG8Ibx6KOcMIw2fIbR1rJR9Qv+5wL/fE7mQv94C90ycJL9JfMT7Lww2PcX8KHT3gscRv6wR+O31E/5JF4Ux3nGhx+kt1D8sA5womGu7bHyQPxRF2yclvQ+Wj8ifuJ4ZNfjiXGwXWkPRoPv3HJ8on/qEv3WYcX4YXxsJ+Kb7I0RuNkn/wQFnnidzIX+sEfjt9Rf2GaEo/jJ3xGw0EEjsmJgAiIgAiIgAgUUwJKtgiIgAiIgAg4AhKtHQT9LwIiIAKpCCAkIygjLCMwp/JXmOPYPub6m+4Yz0ZOBERgLQiwKoiVSKwMyNQzuhbJyVmvSpgIiIAIiIAIiIAIiIAIiIAIFCcCEq2L091SWnOJgNJSSghkYwYnM0hDm+zYX8fmeCnBq2yKQKEIYPsbkyzYOC/IDnqhItHFIiACIiACIiACIiACpZ2A8i8CIlAEBCRaFwH0NUWJgMVS7GRLoNd0rc4XPQHuG/eP+1j0qcl8CjBLkI55gEynJFPpyFS4iTwwm4BJBEy5YMIh8bx+i4AIrE5Az83qTHREBIoPAaVUBERABERABERABERABFITkGidmo3OiIAIiEDxIqDUioAIiIAIiIAIiIAIiIAIiIAIiIAIlHwCpSCHEq1LwU1WFkVABERABERABERABERABERABAomoLMiIAIiIAIiIAK5Q0Cide7cC6VEBERABERABEoaAeVHBERABERABERABERABERABERABNaagETrtUZW1BcofhEQAREQAREQAREQAREQAREQAREQgZJPQDkUAREQgdJLQKJ16b33yrkIiIAIiIAIiIAIlD4CyrEIiIAIiIAIiIAIiIAIiEDOE5BonfO3SAkUgdwnoBSKgAiIgAiIgAiIgAiIgAiIgAiIgAiUfALKoQhki4BE62yRVjwiIAIiIAIiIAIiIAIiIAIisDoBHREBERABERABERABEUggINE6AYh+ioAIiIAIlAQCyoMIiIAIiIAIiIAIiIAIiIAIiIAIiEBxJZC+aF1cc6h0i4AIiIAIiIAIiIAIiIAIiIAIiIAIpE9APkVABERABESgiAlItC7iG6DoRUAEREAEREAESgcB5VIEREAEREAEREAEREAEREAERCA9AhKt0+MkX7lJQKkSAREQAREQAREQAREQAREQAREQAREo+QSUQxEQgVJGQKJ1Kbvhyq4IiIAIiIAIiIAIiIAIrCSgvyIgAiIgAiIgAiIgAiKQmwQkWufmfVGqREAEiisBpVsEREAEREAEREAEREAEREAEREAERKDkE1AOM0pAonVG8SpwERABERABERABERABERABERCBdAnInwiIgAiIgAiIgAhAQKI1FOREQAREQAREoOQSUM5EQAREQAREQAREQAREQAREQAREoFgRkGi9TrdLF4mACIiACIiACIiACIiACIiACIiACJR8AsqhCIiACIhAURCQaF0U1BWnCIiACIiACIiACJRmAsq7CIiACIiACIiACIiACIiACBRAQKJ1AXB0SgSKEwGlVQREQAREQAREQAREQAREQAREQAREoOQTUA5FoDQQkGhdGu6y8igCIiACIiACIiACIiACIlAQAZ0TAREQAREQAREQARHIIQISrXPoZigpIiACIlCyCCg3IiACIiACIiACIiACIiACIiACIiACJZ9A/DlMW7Tued2ddk7nAbZ4yVLv2K/boI0deFwHmzlrtumfCIiACIiACIiACIiACIiACIiACIhATAQUjAiIgAiIgAiUYgJpida/zJtv7374ubVu3tgqVaxgb874xCOb/sxw69/zPBs0/CEvZPuD+iMCIiACIiACIiACOUpAyRIBERABERABERABERABERABEch9AmmJ1mSjapVKVrNGdXbthZffts1qbuQFbI4tWLTEFi1e6s/pT6kjoAyLgAiIgAiIgAiIgAiIgAiIgAiIgAiUfALKoQiIgAhkjUBaonXlShWsauWKNnfe7xbOuj7ysH18Ijm2YOFiv68/IiACIiACIiACIiACIiACa0NAfkVABERABERABERABERABBIJpCVaYxKka/tTrWf/O63ByZ1sr93qWMP69byAPeDWsf73JjWqJYat3yIgAiJQNAQUqwiIgAiIgAiIgAiIgAiIgAiIgAiIQMknoByWWAJpidbkvu6Ote31p4bZzCkjrf/l53HIEKqfHTMw77c/qD8iIAIiIAIiIAIiIAIiIAIiIALFloASLgIiIAIiIAIiIAJFTSBt0bqoE6r4RUAEREAERKAYE1DSRUAEREAEREAEREAEREAEREAEREAE0iSQtmi9eMlSO6fzAKvboI0deFwHmzlrtoXH7h470bL/TzGKgAiIgAiIgAiIgAiIgAiIgAiIgAiUfALKoQiIgAiIQGkjkLZo3W/IKDtov91s+jPDbd96O3lO2Lpu3byxvfbWh17A9gf1RwREQAREQAREQAREIPcJKIUiIAIiIAIiIAIiIAIiIAIikKME0hKtf5k33z7/+gc7YK9dVstGzRrVbcGiJbZo8dLVzumACJQ2AsqvCIiACIiACIiACIiACIiACIiACIhAySegHIqACGSWQFqidUFJmDvvd6tauaJVrlShIG86JwIiIAIiIAIiIAIiIAIiIAIFEdA5ERABERABERABERABEfAE0hKtN6lRzZo03M8GDX8o34xqZmAPuHWsNxuCqRAfov6IgAiIgAjkEAElRQREQAREQAREQAREQAREQAREQAREoOQTKFk5TEu0JsttWx5j2K9ucHInmzT1XWvRro+x36NjS+McfuREQAREQAREQAREQAREQAREQAREoMQQUEZEQAREQAREQASKhEDaojWpa1i/ns2cMrTJacEAABAASURBVDKf4xjn5ERABERABERABEQgHQLyIwIiIAIiIAIiIAIiIAIiIAIiIAIFEUhLtMYMSPPz+9jMWbMLCkvnio6AYhYBERABERABERABERABERABERABESj5BJRDERABESgVBNISrUsFCWVSBERABERABERABESglBJQtkVABERABERABERABERABHKJQFqiNR9irLNNLZs77/dcSrvSIgIikMsElDYREAEREAEREAEREAEREAEREAEREIGST0A5FIEMEEhLtCbe05sdaY8+M9UWL1nKTzkREAEREAEREAEREAEREAEREIEMEVCwIiACIiACIiACIlCaCaQlWmPTumvfYTZp6ru279HtrW6DNvlck1bdDT+lGaTyLgIiIAIikPMElEAREAEREAEREAEREAEREAEREAEREIFiQCAt0RrzIM+OGWgzp4xMcCt/cw4/xSC/SqIIiIAIiIAIiIAIiIAIiIAIiIAIiMBaE9AFIiACIiACIpA9AmmJ1tlLjmISAREQAREQAREQgVJEQFkVAREQAREQAREQAREQAREQARFYjUBaojWmPzABkmgWJPzNOfysFroOiEAREFCUIiACIiACIiACIiACIiACIiACIiACJZ+AcigCIlByCaQlWmP6AxMgieZBpj8z3BodspcN6t3B8FNyMSlnIiACIiACIiACIiACIlAqCCiTIiACIiACIiACIiACIlDkBNISrVOlslLFCrbHLtvbA4+8kMqLjouACIiACJgQiIAIiIAIiIAIiIAIiIAIiIAIiIAIlHwCymFcBAolWpOIA/baxT7/+gfLlHmQmbNmW/Pz+6wWPvFhliQ0UfLStBkkJ8/xOzyHP/znnUyyU5D/u8dOtDAs9sPLCZO0kcbwmLYiIAIiIAIiIAIiIAIiIAIiIAIxElBQIiACIiACIiACpY5AoUXrTBFDEEZsbtGujy1YuDhfNIuXLLUe/UZY8+MbGCZLxo3oY9ffMsZC8ZgtvznOefzhn+vyBbTqR0H+Scdrb31oUyYM8Y59jnHpE89PsyYN97O6O9bmp5wIiIAIiIAIFBsCSqgIiIAIiIAIiIAIiIAIiIAIiIAI5CqBQovWmAaps02t2G1aYyMbO9oIz1WrVMrH7+tvf7IFi5bYCY3r++PbbLWZ1dpsY3vj3Y/9b7Z7775DnpjMbPAffvrVuM57SPhTkP+5v863KlUqWuVKFbxjn2MI1wjYYRrMLF+oc+YtMTkxUBlQGVAZUBlQGVAZUBlQGVAZUBlQGVAZUBkocWVA/X1pHioDKgNrLAP5hEL9WGsCaYnWCLTMeg5NZES3P839za7s1HqtIy7MBXPn/W7R2dfY1t6s5kb25ewffLDh1v9wf2puXM2CIDCucz9X+78g/1y7cOESW7R4qXfsc4xZ1gftt1vsYv1qidMBERABERABERABESgVBJRJERABERABERABERABERABEVhJIC3RGq9Vq1QyZj1jbiPqWjdvbB173mypTG9wbSbcFpvW8DOfU4W9Xe1aqU4lPZ7KPzO+EacbnNzJcOwTQDjLuud1d1rdBm28wy4253DVqqxncmJQ5GVA5bBInsPqjntpdxtUKmfVq5aXEwOVAZWBUlsGNqi0XqnNu+p/vf9UBlQGKAMb0B5Uu9ji7Beof7lekfTvig1397wprblVRtAH5dadQNqidaooataobpjqYCZyKj+ZOD7n53l+5nOqsBNnT6fyFx4vyH/blsd429mI9eyHs6wxE7Jw8RKb/sxwL+gPG/l43gcj//r7X5MTA5WB0lkGlrjnv7S7v/7515b+tVxODFQGVAZKbRn46x/VgSXhPaA8qByrDKx7GfjbtQdLe5s47vyrf/mvdBbX11Q5KD7lINQctV03AoUWrbEHXbVyxQJnPa9b0lJfhVDOzO/QB7O8MVMSzpYOt+F5xOUVK1YY14XHotu18Y+plHCWNeZGMBdCWJgMgQP7uCV/Lzc5MVAZKJ1lYKl7/ku7Q7ROUf5VN7ryITals27QfS9d9131YOm633q+db9VBlYvA0udaF3a28Rx51/lbPVyJiZikstlAH2wlLtCZb9A0XrmrNl24HEdvFmMjz+bbS3a9fFmMEJzGGzveuAp69r+VMOudKFSshYXb7PVZoZAzIxnLvv625/sh59+tQP22oWffvvOB58Z6ecAwnqtzTY2ruP33WMnGja6EaD5zXUF+cdP6IgTEyGYDUEEr1Kloj+FMM6Mc/8j4c8PPwY25ZWyWXGvvV7Wfv0tIQH6KQIiIAIiIAIiIAIiIAIiIAIiUAIIKAsiIAIiIAIiUDoIFCha192xtr3+1DCbMmGI7bJDbUtm05rz+IsbF4IywjJCOYI59qSxH008COQDrmxn45+c4kV0/Fx2USsL08GW3xxHWMcf/rmO6xNduv4Rwd//+Atr2fRwHwTX7bHL9rbv0e29oN+hzYlJP8y4ZInZ5ClBVty0183++afA2+rTrj8iIAIiIAIiIAKrCGgjAiIgAiIgAiIgAiIgAiIgAiKQUwTSUjeZVTz+jj55onA2ckCcz44ZmGdLeuaUkdb/8vPyok4837B+vbxz7PCba3CEg3+O47BLnXisIP9cg0OkHnrNxflmlRMWceAIA39yZmIgAiIgAiIgAiIgAiIgAiIgAiIgAiJQ8gkohyIgAiKQCQJpidaZiFhhioAIiIAIiIAIiIAIiIAIJCWggyIgAiIgAiIgAiIgAiJQqgmslWh999iJ3hwHJjdw2LvGZEapJqjMi4AIFBMCSqYIiIAIiIAIiIAIiIAIiIAIiIAIiEDJJ6AclgQCaYvWCNbYhsa+NaYwcHcN6m7ndh1oL02bURJYKA8iIAIiIAIiIAIiIAIiIAIiIALJCOiYCIiACIiACIiACGSRQFqiNR9FRLDu0bFlvg8NYuO5f8/zbNT4523xkqVZTLaiEgEREAEREIHiT0A5EAEREAEREAEREAEREAEREAEREAERWJ1AWqI1l1WtUslq1qjObj7HsQWLltiixTkhWudLm36IgAiIgAiIgAiIgAiIgAiIgAiIgAiUSALKlAiIgAiIQAkmkJZoXblSBatauaLNnfd7CUahrImACIiACIiACIhAaSeg/IuACIiACIiACIiACIiACIhA0RNIS7SuVLGCtW7eOKkZkDfe/djqbFMrn9mQos+WUiACOURASREBERABERABERABERABERABERABESj5BJRDERCB2AikJVpj03rArWPtzRmf2L5Ht7e6DdrkucEjxtnjz72W97tJq+6G/9hSqIBEQAREQAREQAREQAREQARKLQFlXAREQAREQAREQAREoPQRSEu03qRGNXt2zECbOWXkGh3+8F/6UCrHIiACIlBsCCihIiACIiACIiACIiACIiACIiACIiACJZ9Asc1hWqJ1sc2dEi4CIiACIiACIiACIiACIiACIiACsRJQYCIgAiIgAiIgApkmkJZojbkPzH5EzYJE9zmHn0wnVuGLgAiIgAiIgAiUUALKlgiIgAiIgAiIgAiIgAiIgAiIgAisIpCWaI25D8x+JJoHmf7McGt0yF42qHcHfYhxFdBc2igtIiACIiACIiACIiACIiACIiACIiACJZ+AcigCIiACJY1AWqJ1qkxXqljB9thle3vgkRdSedFxERABERABERABERABESiOBJRmERABERABERABERABERCBIiJQKNGaNB+w1y72+dc/mMyDQENOBESgYAI6KwIiIAIiIAIiIAIiIAIiIAIiIAIiUPIJKIciUDgChRatCxe9rhYBERABERABERABERABERABEUiLgDyJgAiIgAiIgAiIQCkhUGjRGtMgdbapJZvWpaTAKJsiIAIiUNIIKD8iIAIiIAIiIAIiIAIiIAIiIAIiIAK5RSAt0RrTH01adbe6Ddqs5n6a+5td2al1NFfaFwEREAEREAEREAEREAEREAEREAERKPkElEMREAEREAERyAiBtETrTWpUs2fHDLSZU0au5u65qYfxQcaMpE6BioAIiIAIiIAIiECpI6AMi4AIiIAIiIAIiIAIiIAIiEDpJpCWaM1M6+bn97GZs2aXblrKffEloJSLgAiIgAiIgAiIgAiIgAiIgAiIgAiUfALKoQiIQIkgkJZoXSJyqkyIgAiIgAiIgAiIgAiIgAisEwFdJAIiIAIiIAIiIAIiIALZJJCWaI15ED62OHfe79lMm+ISAREQgZJMQHkTAREQAREQAREQAREQAREQAREQAREo+QSUw3UgkJZoTbinNzvSHn1mqi1espSfciIgAiIgAiIgAiIgAiIgAiIgAiJQRAQUrQiIgAiIgAiIQEkmkJZojU3rrn2H2aSp79q+R7e3ug3a5HNNWnU3/JRkUMqbCIiACIiACJR4AsqgCIiACIiACIiACIiACIiACIiACOQAgbREa8yDPDtmoM2cMjKp4xx+ciA/OZcEJUgEREAEREAEREAEREAEREAEREAERKDkE1AORUAEREAE4iOQlmgdX3QKSQREQAREQAREQAREQATSJiCPIiACIiACIiACIiACIiACpZCAROtSeNOV5dJOQPkXAREQAREQAREQAREQAREQAREQAREo+QSUQxEovgQkWhffe6eUi4AIiIAIiIAIiIAIiIAIZJuA4hMBERABERABERABEcg4AYnWGUesCERABERABNZEQOdFQAREQAREQAREQAREQAREQAREQARKPoF0cyjROl1S8icCIiACIiACIiACIiACIiACIiACuUdAKRIBERABERCBEkdAonWJu6XKkAiIgAiIgAiIQOEJKAQREAEREAEREAEREAEREAEREIGiIpC2aL14yVI7p/MAq9ugjR14XAebOWu2hcfuHjvR9E8E1khAHkRABERABERABERABERABERABERABEo+AeVQBERABApJIG3Rut+QUXbQfrvZ9GeG2771dvLRVqpYwVo3b2yvvfWhF7D9Qf0RAREQAREQAREQAREQARGInYACFAEREAEREAEREAEREIHSQiAt0fqXefPt869/sAP22mU1LjVrVLcFi5bYosVLVzunAyIgAiKQ4wSUPBEQAREQAREQAREQAREQAREQAREQgZJPQDksZgTSEq0LytPceb9b1coVrXKlCgV50zkREAEREAEREAEREAEREAEREIESRUCZEQEREAEREAEREIHMEEhLtN6kRjVr0nA/GzT8oXwzqpmBPeDWsd5sCKZCMpNEhSoCIiACIiACpYiAsioCIiACIiACIiACIiACIiACIiACpZxAWqI1jNq2PMbbr25wciebNPVda9Guj7Hfo2NL4xx+ctUpXSIgAiIgAiIgAiIgAiIgAiIgAiIgAiWfgHIoAiIgAiJQMgikLVqT3Yb169nMKSPzOY5xTk4EREAEREAEREAERKBEElCmREAEREAEREAEREAEREAERCCrBNZKtM5qyhSZCJRoAsqcCIiACIiACIiACIiACIhjPX6aAAAQAElEQVSACIiACIhAySegHIqACKwLgZSiNfaqm7TqbnUbtFmjwx/+1yUBukYEREAEREAEREAEREAEREAE1oqAPIuACIiACIiACIiACJRoAilFaz6++OyYgXmmQE486iDr0q5F3m/MhEx/ZrjtX29nw641/ks0KWVOBERABEo4AWVPBERABERABERABERABERABERABESg5BMoDjksk04imUX9+dc/2AF77ZLPe6WKFax188Y2avzztnjJ0nzn9EMEREAEREAEREAEREAEREAEREAESgkBZVMEREAEREAERCBGAmmJ1gXFV7NGdVuwaIktWpxd0brndXeuZrbk7rET85L60rQZeefTMV9SkH/CDc2ksB9Ggpjf/Pw+NnPW7PCQtiIgAiIgAiIgArERUEAiIAIiIAIiIAIiIAIiIAIiIAKlkUBaonXlShWsauWK9sa7H6/GaO68323BwsWrHc/GAUyWYKYkdG1bHuOjRUS+/pYxNm6EE5SnjLTmxzewHv1GpJwNXpB/hOnX3vrQpkwY4h37HCOiJ56fZk0a7md1d6zNz+LhlEoREAEREAEREAEREAEREAEREAEREIGST0A5FAEREIFiTCAt0To0A3LXA0/lm1WMeDvg1rFeFM4lm9aI63vvvkOemIxZkx9++tW+/vanpLeqIP9zf51vVapUNIR7HPscI+8I2Cc0rp80TB0UAREQAREQAREQAREoeQSUIxEQAREQAREQAREQAREQgcwTSEu0JhkN69ezJ+7rb137Dsszu9Hg5E7+I4zhDGf8ZdM9/txreWmJmu34cvYP+ZJRc+NqFgSBMSs834lVPwryz7ULFy7x5k8wgcI+x5hlfdB+u1kqsb5MYBa6VdFkbRO4mMK4tbW8+yAWOctC9yiwEsfAVbklLk+qQ0peOdU91T3NaBlQe0zvgcDEIDAxCKzUMlB7sPTe+4y+XwMrtc9UCeFaqu6faw7q/0IQSFu0Jg4E2mfHDLTQHAdbxGzOZdv1v/y8vHRgBoRZ4NilDtOxXe1a4W5a21T+yTPiNAI9jn0CDGdZR21rR+PfpFoFC135cmW4JGuuYvmyeXGHadC2gphEyqTKg8pDpsvARlXKW83qFeXEQGVAZaDUloFqVVUP6j2Qrfeg4lFZy80ysJGrBzPd5lT4FdTPVT9XZSCHy0DWhMASGlGZkpAvbEo3PKieffXNj3nZSZw9nXcixU5B/plJjkCPYz+cZY2ZkIWLl9j0Z4Z7+9nDRj5umA0hip9/X2qh+3vZvxzKmlv89/K8uMM0aPvf/RALsVAZyHwZmLfgb/vptyXF1yntuncqAyoDhSwDv6keVBkqZBnSe1TtiOJeBub9+bf6pRFdQH2QzPdBxFiMc60MZE0ILKERZU20zia/xFnTiMsrVqywmjWqJ03G2vhHlA5nWWNuBHMhBIrJkKqVK7IrJwIiIAIiIAIiIAIiIAIiIAIiIAKlloAyLgIiIAIiIAKFJVAsRWuE46F3T8jL+8xZs+2dDz4zPrjIQbb85ji/+dBirc02tm222oyfhv3rJq26582KXpN/f9GqP+Esa8yGIILzYUZOIYwvWLSE3Zx1Tre3+fPNfvk1yI6bl7MolDAREAEREAERKG4ElF4REAEREAEREAEREAEREAERKDUEiqVoXblSBXvvoy+sboM23rVo18cuu6iVYSaEO8eW3xzHz/gnp9iAK9tZpYoVOL2aS9c/Ivj7H39hLZse7sPguj122d72Pbq9EVeHNiem/DCjv6CI//AhjE8/K2P3P5Ad9/wLZWzp0iLOdIHR66QIiIAIiIAIiIAIiIAIiIAIiIAIiEDJJ6AcioAIFDcCxVK0Rny+56YeeR9ixNZ04gch+c1xHB+PZGZ0eHOwS514rCD/4XWI1EOvuTif+E1YxIEjjNBvrm7/+cfsjz+CrLiFC4NcxaB0iYAIiIAIiIAIiIAIFJaArhcBERABERABERABERCBDBEolqJ1hlgoWBEQAREocgJKgAiIgAiIgAiIgAiIgAiIgAiIgAiIQMknoBwWTCBt0Ro70tiBxtxGouM45wuOSmdFIIEARraz5FbYioTI9VMEREAEREAEREAEREAERKCEEVB2REAEREAEREAESgiBtEXrm+4Yb3vtViefSQ5MYuASTW2UEDbKRgYJICG/+FJZG/1guay4V6eVzWBuFLQIiIAIlGQCypsIiIAIiIAIiIAIiIAIiIAIiIAIZJdAWqI1s6g///oHO73ZkdlNXUmNTfkyrF3/PDewzz7Pjpv/u9kKZnWLvQiIgAiIgAiIgAiIgAiIgAiIgAhki4DiEQEREAERWCcCaYnW6xSyLhKB4kJghRO0XVrdxhsRyfTWRaX/RUAEREAEREAECkFAl4qACIiACIiACIiACIiACJRsAmmJ1pvUqGZ1tqllb7z7ccmmodyVSgLzF5hNeDSwe0aWzYqb+UlglnuzvkvlvVemRUAEREAEREAEREAEREAEREAERKCUEVB2RaBYECiTbioxDfL+x1/Y4iVL071E/kSgeBBYYTbnx8C++TY77q+/igcWpVIEREAEREAEREAERCBdAvInAiIgAiIgAiIgAiIQJ4G0RGtsWnftO8wmTX3X9j26vdVt0Cafa9Kqu+EnzoQpLBEQAREQgVJOQNkXAREQAREQAREQAREQAREQAREQAREo+QSS5DAt0RrzIM+OGWgzp4xM6jiHnyTh65AIiIAIiIAIiIAIiIAIiIAIiIAIiECWCSg6ERABERABESjOBNISrcMMvjRtRr4Z1sy45lh4XlsREAEREAEREAERKMEElDUREAEREAEREAEREAEREAEREIEsEEhbtEacHnDrWJsyYUjebOtxI/pYz/532t1jJ2YhqYqiZBJQrkRABERABERABERABERABERABERABEo+AeVQBERABNInkJZozccXR41/3np0bGlRMyB1d6xt/XueZ6+99aE+0Jg+c/kUAREQAREQAREQAREQgXgIKBQREAEREAEREAEREAERKIEE0hKtFy1eagsWLbGaNaqvhoBjnMPPaid1QAREQASKIQElWQREQAREQAREQAREQAREQAREQAREoOQTUA5zl0BaonXlShWsauWKNnfe76vlhGOcw89qJ3VABERABERABERABERABERABESgNBFQXkVABERABERABESg0ATSEq0rVaxgB+23m2HT+pd58/MinTlrtrdpzTn85J3QjgiIgAiIgAiIQIwEFJQIiIAIiIAIiIAIiIAIiIAIiIAIlB4CaYnW4Gjb8hhv07rByZ2sboM23rVo18fbtOYcfoqVU2JFQAREQAREQAREQAREQAREQAREQARKPgHlUAREQAREoNgRSFu0JmcN69ezmVNG5nMc45ycCIiACIiACIiACIhA6SGgnIqACIiACIiACIiACIiACIhApgislWidqUQoXBEQAU9Af0RABERABERABERABERABERABERABEo+AeVQBERgDQQkWq8BkE6LQDYJLFlqNu+3IGtu8eKCc7fCnc6aIyIXn/4XAREQAREQAREQgXUjoKtEQAREQAREQAREQARKCoECRWs+utikVXd76PHJxja0ZZ245Rx+SwoU5UMEiorAvHkrbOxDgd03ukzG3eixZbw4niyv6MfffR/Ym2+VyYqbMSOwBYuCZEnxx378KTDSkw03Z44Z+fcR64+ZGIiACIiACIiACIiACIiACIiACIiACJR8AjmWwwJF601qVLNnxwy0U0883G8T7VmHv/GD3xzLm5IjAsWOwIoVgc3/w7n5mXd/uDj+TaHOIh//8WdgE58tkxX3yqtl7J9/Ut+umR+VsZH3l82Ke3FyWSP/qVKzaJFZNl2qdOi4CIiACIiACIiACIhA7hNQCkVABERABERABNaNQIGidRgks6ibn9/HZs6aHR7K2740bYad03mALcauQd5R7YiACIhAfAQQ1/9ZZpYNt2x56nQvc2l47oUydt/osllx7zuxfkWKgYXUqdQZESjxBJRBERABERABERABERABERABERCBEk4gLdG6IAY1a1S3BYuW2KLFSwvypnM5TUCJEwERSJcANsd/+jmwbLglBdgcX7zEbM5PZj/8mB332/zUhP74c4VhwiUb7qefAltYgCmZ1KnUGREQAREQAREQAREQAREQATMxEAEREIHiQaDQovUb735sVStXtMqVKhSPHCuVIiACIlACCCxywu2Ex8rYyFFls+LmOqE+lbHv+X+UsVEPlLH7R2fePfRwGfvzzxJwA5UFERCBkkVAuREBERABERABERABERABEYiVQIGiNeZADjyugzU4uZN9/Nlsa9Guj9Vt0Cafu+uBp6xr+1OtUkWJ1rHeGQUmAqWcgLK/ZgJ//xXYX0uz4woyU8K5RYsDy4Zb7OIhvoLoYFElW66gdOicCIiACIiACIiACIiACIiACIjAmgnIhwgkI1CgaF13x9r2+lPDbMqEIbbLDrVt3Ig+NnPKyHyO8/hLFriOiYAIiIAIiEA2CXz6mdmTT5fNinvp5bK2cGFBn+3MZs4VlwiIgAiIgAjkI6AfIiACIiACIiACIlCsCRQoWoc526RGNRt/Rx+TOB0S0VYEREAERCAXCSxcUMbefifIkMsf7iefBqkspmQdzZpmn2c9QYpQBERABERABERABERABERABERABApBIC3R+pd58635+X0McyGFiGv1S3VEBERABERABEoogRnvB/bC5LJZce+8l9brvISSVrZEQAREQAREQASKBQElUgREQAREQATWgoB6uWsBS15FQAREQAREIC0CK1bY11+XsamvBllxX36VO7O+0+IjT7ERUEAiIAIiIAIiIAIiIAIiIAIiUBIJpCVaYx6kzja1bO6830siA+VJBKIEtC8CIiACJYrAX3+bffdDYLO/DSwb7qefA8sZuykl6k4qMyIgAiIgAiIgAiIgAjETUHAiIAI5TCAt0Zr0n97sSHv0mam2eMlSfsqJgAiIgAiIgAgUAwLL/jF76qkydu99ZbPivnbi+AqnWxcDNEqiCIhARggoUBEQAREQAREQAREQAREoPIG0RGtsWnftO8wmTX3X9j26vdVt0Cafa9Kqu+Gn8MlRCCIgAiIgAqsR0AERKCSBFe76Fe5PNpyLKuX/fy4I7JvvnHPC9jdZcL/NT62e//3PClv6l2XNrfjX3YCUZHRCBERABERABERABERABERABMxMEPIIpCVaYx7k2TEDbeaUkUkd5/CTF6p2REAEREAEREAERCCBwMKFZg+NK2P33l82K+6PPxISEPn5/ffZS8e4CWXsl19TNblW2NxfA/t+jmXFzflxhf0b4VCUuysYRSnKBETizqGkRFKlXREQgbgIKBwREAEREAEREIHiRyBVDyppTl6aNiPfDGtmXHMsqWcdFAEREAEREAERKKkE1jlf/zrFNFuuoEQuW2b2449BVtzcuUEBZr4D++zzwEY6IT8boHZEcgAAEABJREFU7rkXy9qyv5OTYS74S6+UsXETymbFvTU9dTN0wSKzWY7LzE8Cy4b78afU9wgu2XTJ746OioAIiIAIiIAIiIAIiEDpIpC6t5DAAXF6wK1jbcqEIXmzrceN6GM9+99pd4+dmOBbP9eegK4QAREQAREQAREojQT+XW72999BVtw//6Q2mcKZ2d8E9tHM7LhffkMoRg5e/a4v+8vs2ecCe2h82ay4X34l98nTMmeO2X2jyto9IzPv7h9d1r53gymrEzFjNviv8wL77rvsuO9/MFuqT9kkuxU6JgIiIAIxEFAQIiACIiACayKQlmjNxxdHjX/eenRsaVEzIHV3rG39e55nr731oT7QuCbSOi8CIiACIiACIiACIpA5AhkK+d9/V4rE2bDD/u33gTGIkSwrgdPVWR1wnxO2s+GefKqsLVniIk2WGHds2huB3evE/Gy45yeV8aK9izYH/k8+uJEDCVMSREAEREAEREAERKBEEUhLtF60eKktWLTEataovlrmOcY5/Kx2UgdEQASKNQElXgREQAREQAREIHcI8D3Pv/8xy4pbljrfyLa/zS9jX38dZMXNmZNaPP/rb7MXJ5fJikkbTOe890HZlGCwo//lV4F9/kV23C+/pOaSMpE6IQIiIAIiIAIpCOiwCOQagbRE68qVKljVyhVt7rzfV0s/xziHn9VO6oAIiIAIiIAIiIAIiIAIiIAIZIgAsu1XTjzPllmbP/9caaolWXaW/hXYo4+XsVFjyoYuo9vf5qdOy++/uwGFb7LjMCs0/0+GMlanglmbP/8MbJ5LT1bc/MBWEOnqSdERERABERABERCBYkYgLdG6UsUKdtB+uxk2rX+Z51pHqzI5c9Zsb9Oac/hZdVgbERABERABEcgQAQUrAiIgAiIgAiKwJgJ/OHE9Gx93JY6HHi5rixenmIHuRhW++NJs1Ggn5mfBPftsGVu0JK0u7poQ6rwIiIAIiIAIiEAREyhjaSagbctjvE3rBid3sroN2njXol0fb9Oac2kGI28iIAIiIAIiIAIiIAIiIAIiIAIZJsCE42y5grLy9z+B/fZ7dhyzugtKCzwKOl8qzimTIiACIiACIlBMCKzVMHTD+vVs5pSR+RzHcjGvL02b4YV1BPYmrbpbdIZ4svQW5P/usRPzwmI/vJ4wm5/fx5hxHh7TVgREQAREQAREoHQRUG5FQAREQASKB4HZ3wX22efZcZhNSW40ZSUrzmXLrYwxR/4WMHIAjxxJpZIhAiIgAiKQAwTWSrTOgfSmlQRE5OtvGWPjRjhB2YnszY9vYD36jbDFS5Ymvb4g/wjTr731oU2ZMMQ79jlGQE88P82aNNzP6u5Ym59y8RFQSCIgAiIgAiIgAiIgAiIgAiIQGwEE0bfeLGOjx5bNint3RpDS6PjCRYFNeaWMPTWxbFbcLCfUWwqx+Oe5gU16qaw9/0J23JwfU9/S774PbOprZbLi3phexn6fnzotKXClvkBnCkNA14qACIhAUgJrJVozy5iZy6E78LgOOTnL+I13P7a9d98hT0w+YK9d7IeffrWvv/3Jkv0ryP/cX+dblSoVjQ9N4tjnGMI1AvYJjesnC1LHREAEREAEREAEREAERKCICChaERCBXCbAxyI//jiw6W9nxy34MzWNZctX2BvTzV59Pci4e+2NwP7+J7UEsXCh2QuTymTFTZsW2LJlbmAhGRqnWH/rBPSZnwSWDffZF6SDYZVkiTFj1v7nzk823Lffp74/S5aY/eAGHb6bY5YN99vvyXlwNDUtzsqJgAiUFAKpa6SEHCJYj39yip9tHJoIuWtQdzu360DDtEaC9yL9+eXsH/LFX3PjahYEgc2dl7zWK8g/1y5cuMQWLV7qHfscY5Y1H6DcpEa1fHHphwiIQAkloGyJgAiIgAiIgAiIgAiIgAiUeAIrnHbwhROJHxpf1rLhXplaxpanENARZye9VMZGjSmbFffpp6kF9MVLAnv0iTJ2/+iyWXE//eTSAoAkJW7OnMAedPdn7Liylmn38CNlLdUKATe+YfN+D9z57LgfHZO//koCRIfiJ6AQc4JAWqI1s4oRrHt0bGlRkRazGP17nmejxj+f0vRGUeVyu9q11irqVP7JL+I0H6DEsU/A4SzrntfdaXVXfZgyKt5vUaOiha5ShcBqb70iK+5/W66wyhXL5sUdpoHtptUr2AZVs5eWzTdfYdWrrJ80LRtvuL7V3CQ7TGBfvfoKq1mtQtK0bFh5PatVK3tpqVK5jG220X/lg3sTusoVy9nWW2UnLVu7MlmpQpmkTDZ36atUMXtlZUvHfwOX95BDdMt9q7ahGfcxG26zzVYY5TOahnB/o6rrG+U6G+kgjmobBsZzG8Yf3VZ1vLZ0zzv+suEoD5tH6rVoWihH2UgDcWz1P+q4cknLLc9V1SplslZWtthihVWrUj5pWjZx9U2NGtl5luGysYtrE1evRu9LuO/T6NKKv2y4DaoEtpl734TxR7dVKpU17mE20kEclM1o/NH9ypWCrJUV3s08s9H4w32e8Q02yF5aqMOoy8L4o1vqvs02zV653aha6nfzBll+N1MeePdFeYT7lKOsvZtdG6ByAe/mKlkst7SNqlZZL2kdV9PVcdw/nrNsuE1r5s67meeV5zYsH9Ft1UrljOc9G0yIo7Jrq0Xjj+5TbvGTDUe9XjlF/4P3QRX3XiAd2XC8m6uneje79+QmG2exjttohW3inpXofQn3q1V27YcsvpsL7H9UKGfcw2zcH+KoWLFM0nqFdmblSmUMP9lwtKMLejdXqxZkLS2bu/7HRhusn5TLxu4457PBhDg23DD1uxleNTc223zT7LhKrqxQLsLnJrotX66MLV1qxuzvTLulTiSuUD75+5D0/TavjE15OciKw+xQ+bLlk5YV+Gzo3tvZdMSZymUzHdVdPz1VOmpWr2jZTMvG7l0TTQv6ody6E0hLtCb4qlUqWc0a1dnN5zi2YNHKmcj5ThTxj8TZ02tKTkH+27Y8Ju/jk+yHs6wxE7Jw8RKb/sxww372sJGPJ/3g4z67rW9XdimfFdflgvVtp23KJc1u2TKBHd0wO+kgv+3PXN+qb5i8iPGSOatF9ri0OL6CredebMnA1Nq0nF10ToWs3B+4NDigvJVx9yJZWnbdYT3rcVF2uFx+SXnbY6fyyZJhQWB28D7ZKysXn7e+bV0rebktVzawpkdnLy3ntlrfKJ/JwFRxDenzz8jO/aGsHH9keSP/ydKy7VblrPP52UvLgXut78tFsrTsuXN5u6Jzdu5Rt47lbZftyyVLhvFYNay/Xtae5QvblLdNaySv46hvWjbN+P3Jy2vrk9dPWW432aisdWiTvbQceXB5432T7CbttO16dumF2UtLvV2S13Gkbd/ds5eOzu3Wt+1rlyPa1Rysjsniu7mdq8M2cIM7qyXEHaDua9sye1xOOda9m8smf4b+t0U5u/jcCnllnDoxk+7Q/cq7OsS9/ByHxP9327G8XebemZmMPwz7sovKG/ElpoHfvJsPcekM/WZ6e3Hb9W2rzcoS9WpuPfduPuXY7JWVtu7dvP56ycsK5bld6+ylhec11bt5+63du7l99tKy3x7rp343u/ov02UkDP/SDuVt521T13GND8lOG4H0XHBWedukevKyQh13xinZuz+tTqqQ8t286cZl7cKzs5eWww8qn7L/scv2rv/RMTtpob1Yz7UbV6tU3AFq4APrZa+sdHLtaNrTLurV/i/nGpXHH5G9tJzn3s2VnUC7WkLcAeq+c0/Pzv3hGTqpyfqu/5H8Gaq9ZTmDG/6y4ervXT5lHbeHK0c9O2XnHnV3/Y9dd0hex7miYoftX963b2njZtpRVmptmvzd7IqLVV6/XFYdcaZy2UxLxfLJyyxpK+dOZTMt5YmQiOViIeBu35rDqVypglWtXDGleY01h5BdH4mzphGXsRuGwJ4sJf/5X3m2IP/MOg9nWWNuBHMhXFVz42qeEftyIiACIiACIiACIiACIiACIiACIiACuUxAaRMBERABEchlAmmJ1pUqVrDWzRsnNQPCRwzrbFMrn9mQos4wH15854PP8j4SSRprbbaxbbPVZj5p2Odu0qp73qzoNfn3F636E86y3qRGNT/zvEqViv4MQjczzv0P/REBERABERABERCB0khAeRYBERABERABERABERABERCBGAikJVozu3jArWPtzRmf2L5Ht8+z4Vy3QRsbPGKcPf7ca3nHomJwDOlbpyCwtX3ZRa2sRbs+Pl3Y4x5wZTtDfE8WYLr+Z86abe9//IW1bHq4D4br9thle8+EuDq0OTGnxHufSP0p9gSUAREQAREQAREQAREQAREQAREQAREQgZJPQDkUARH4j0BaojWzip8dMzDPrvPMKSNT7uMP//9FUTR7DevXy0tjYpqwS514rCD/YQ4QqYdec3E+8ZuwQh6EEfrVVgREQAREQAREQAREQAREoMgJKAEiIAIiIAIiIAIiIALFkEBaonWYr5emzfAzl5lhHTqOhee1FYGSTuCfZcvt2x9+LunZVP5iIvDuh5/bDz/9GlNo6x4MNv1feeN9+3Ph4nUPJN+V+iECIiACIpCKwD//LDPq3VTns3X8jz8X2bzf/8xWdIqnGBNQWSnGNy/LSV+8ZKn99MtvWY5V0RVHAioruX/XcqWvmvuklEKzomOQtmiNOI2JkCkThuTNYB43oo/17H+nYSO66LJQcmJeuGiJte8xyJ5/+e0iz9SHn3xlp1/Yz+bkgOD23JS3rMPlN9mCHBDcxjz6or3wyjtFfn+UgNwn8Nff/9i9D060r76ZU+SJnf/nQl9PF/XzjKmpfkNG2bU3jzIGgIocTI4kIJfq26lvfmAjxz1b5PcHwW/8U1Ps6UlvFLn49+Pc3+zSq2/3XEhXjhQbJWMVgeXL//Xl5JzOA4q8zfLrb39Y177DrP4JHe2lae+tSmHRbBCV2l822J58YVrRJECxFkiANn//oQ/kxPtQZSX5rcr4+zB5tDl9lL7YlQPusTtGP2XLli/P6bSW1sTlSr9ZZSV5CcylvlAu9VWT08r+0Vx6N2c/97kbY1qiNaNko8Y/bz06tsxnsxlzGf17nmevvfWh4Sd3s1k8UlalckVr1/oEG3DrmCIXrnfZobY1qL+nXeDE4qIWug47cE/beKMNrXOf24pcuF62rOgbaMyGmTjpTZv/x0Ir6n/MIn7hlbdz4vnnJTN6wgt+gKPvoJH2wcdfFqnYtX759Wy3nbc1Pgpb1Pep2gZVbLOaG9kXX/9gRfXv5dfft1Pb97UyZcrYqSes/C5AUaVl6V9/21Mvvm5dXJ3S49oRRtqWO+GrqNKTK/UtzxCD0EPuGG93jHqiSIXrn5xQfM/YidbnxpH22LOvpvUsZ+L+vf72TDvr4v7++Tnm8AMyEUWxC5NnZfKr79qXs38osvsSQqPtecWAu+w+N9By7unHWg3XVgjPZXtLW6l9j6Lh7L8AABAASURBVMG20/Zb2eTxg+3wg+plOwl58SFCdu59m09D65Mb5x0vip0vXTnp2PNmO+jEjnbyuVfZsy+9ZZShokhLrsT5pRvMbtXhGt92Or3ZkVYmCIosablUVnKtTZkr78MiKxwJESNC9r5xpFWpXMG6dzjNypUtm+Ajez9zrazkUv8jF/rNuVRWmGxAn5C+IZPguFe0d7NXWv+Lif5GrvSFSFUu9FVpD+RKmzKX3s3cH7n/CKQlWi9avNQWLFpiNWtU/+/KVXsc4xx+Vh3SphAE6u1ax27sfUGRC9dly5axc047xo474kArauG6wvrlrefFZ9gWm9bICeG6ELe30JcuW77c+t8y2voMuteOPO1SY9YqI7aFDngdAuCFf9m1d1ivgffYEad2teH3P2EcW4egCn3JezO/sBPbXGEscUJYWm+99ey8bjfajcMfKlLhbbedtrWvv/3RGMkudCYLEUAQBLb3bjvYB598VYhQ1v3SD128w0Y+Zjdfc7F7lk+37bepZeuVK+vvzfIsi8WY9zmj47X26MSpdtC+u9k2/9vcrrj+Lut2zXCjkb3uuVz3K8uWLZMT9W0VN3C67x47WtMmh9gzTlgqSuF6k42rGe/DZsccYrfe82iRCNeffP6NXXfLAzbgynZ2aftTraZLUxAUjbhEuUVAyYUVCi9Ofds/L6ddcI21vqi/0RmkU7juT8C6XbnMvQ9vHD7Oyq9Xzu4f2tPq77Or0QFbt9AKd9VSNxB2w+0PGt85Oe/046xqlUqFC7AQV0dFSNpx1C90xC66cqjN/XV+IUJe+0sZ1OZdfFj9PWz8iD7W6qQjfLsl2/XtcveeeejxyfbRrK/XPhMxX8H9ubz/HXbBWSfaNd3Psdr/28y4RzFHk1ZwpCUc3CjqskL7MVfalMDLhfdhLpVb2kehYE2fjL4ZK0s6977VPv3iW5BlzeVSWcnF/gf3hnu0jv3mQt/HXCorvJuvvul+Y4LKFpttbI0O3tueeP41P4BKG6/QmV2LAHKpLxRNdlH3VXOlTcn7MFfezdH7o/2VBNISrStXqmBVXWd27rzfV14V+csxzuEncli7aRLgARl23+P2/sdfegGHy+ioF4Vw/cY7HxvLwhm9pgNKI5pGbLaFa+J+6oXXbcLTrxgNIpgU1QsYgWDqmx/m3Zttt97cvvn+J5JUJI5ZDUccsrftWXd7G33rFcbLuHHLbtbpqlu9OJrNRNGgb1B/Tzvy0H3srhu7OcH4Mzus2SW+Q5pNIZ2ZkFc54bxfj7Y2uE8HO+7IA70wOnLIZcbI7QOPvJA1LHSISQ+z/4h0yy028WX49z8W8DNrjmdo2tsfGQ2kUDBHKKbsZnuAkTJ6x+gnjVmQu+20TR4Dnu3zLr3BrnGNSZ6zvBMZ3EG4ufjKW+z0ZkfYXYO62cnHHmrtzzzBHr6rr835+Ve76c6Hs7bcNVfq20TcDerXs4WLl9iAK9oVqXDt6zpXt1CWr3bCTlEI148+86qd1rSRF8/hRFrefn+WnXXJddbdDXJQhjmeDQcPOlqI6Nl6XlLla/ddtrcdtvufDbuukzVpuJ91uHyINT3nSl/fIrKkui7u4998/7PNdoOCF7c92WgjED5ixuAR4+wkl55nJr+ZtZngH3822zDDVH/fXUlGxGV3d8nSv+3qwfe5wbjNrM2pR3sxlHqva59hdszh+9smNTbMWoJ4Pu558Bm7odcF1vy4BoZgQJ0b1reD3IBDtspymTKBLVqy1C664uYiF65fef1922OX7fyzEwQrB8HC2ehtuwy02d/9lJV7lEtlhQznSpuStISuqN+HuVJul7kBwttGPma/zf/TuroBXOpbnu9u19xurBSrs82WIbKsbHOlrNDez4X+B22TXOk351JZoS/WZ9BIW7L0L5tw19XGgDLvoAdu62VHHLq39bzuzqzZZs+lvlCu9FXDymL3HGlT5sq7OeSibX4CaYnWlSpWsIP2280G3DrWomLUzFmzDZvWnMNP/qD1a00EwgbjhKdetl4D7rYDjr3A2nUfZNii2r52razOuP786++NUcinX3zDTmvf1w496WLr6zo+VGxnNj/Ksilcv/rWR3bNkPvt4adftqNP72HMKKYTiph+WcdWWZ1x/cuvv9uNwx/0s+3CzlVRmwg5YK9d7O9/lvkZUwi1z4+9wZa7BuUJbXra+d1uzOqst6Ma7GuzvvzW1luvnN1xw6U2/s6+9sEnX1qjFl3s8v53xi+kJzxUzKy++qb77KouZ9mB+9TNd3bnOltbl3YtbOKkNywbovHff/9jCJHMtjvguA52ePPONsSJoIjEc7JsGx4TMq+//bF17zfc9ju6vXuOutu4J6fYz7/87jsd+UBl+AdCzp8LF3tTKWFUYWdnu6238OXl2iGj8gaGQj9xb7/9Ya43B8JMyKZNDrYgWCkWEM9mm2xkvTqdadNnfOIGpX7mUEZdLtW31PHMlF2+/F+f5+1qb+G3/Ln5mouyJlzT6ZrmBloQbNgn/t133ta+//EX431IXZdt4XrhosVWsUJ5kmI8U9i1ZlYZ5h/muc47S03piHgPGf6D4Hf7dZ3tnQ9m5XsfRaPluaKTFj2Wif3Na25kBztx9vmXp/sBoBfHDbJmxxxqnXvfZse2vswef+41P6CaibijYS51Am3gxEgG2CkzU6a95+s62qYH7l3Xrr91jL3+zszoJRnb/2PBIgvcf6wgSRYJH0PEVBTpTHY+rmOU14vOaWYzPvrcRj70jFHXIFi3a318PpE0rvgKCueTz7/xE154F0f9Ud/2du9s7s3MDM98pt12+/2POw4/2NlOxG99SuOUwjV+sV8fTWsm9lmdWrHC+j5o6o8bhz9kp3e81qptWMU76hnKi/eQwT8VXd2WK2UlzGZRtylz5X0Y8giCICfKLYOmbU5t4uv1Qa688l7u5gTr+vvs6leJUQeHac7klnYcbQTiKOqykkv9j1zqN+dKWaFPxjcDVvy7wvp0bWNRnYr39IVtmlr1DasaQiXlKdMuV/pCcMmVvmrIPK025V9/h94zts2Vd3PGMljMA05LtCaPdPR7dGxpDU7uZHUbtPGuRbs+hk1rzuFHbu0IhA1GZqmf1rSRTX74Ji8O3/vQs3ZI04t8x3S/ejvblQPuskx/nHH72rW8Pe2/XKUwYmBXe3B4b8MOLo3nA50AxyyiDapUtvY9BlumBbgD9t7FTjnuMOPfEyOvtdv6dzIqkjaXXOeEwC72zz/LvWDbuc9txhIk/GXKrSYUuLjpkO/e6Bw7wgmzR7XsZsec0cN/pGvS1Hczkgw6uT/+PM/bPiQClh2f7AQCPgpJh2fGR1/Yd3N+sZFDLre9dtvB2l822B564iW8xu5YGcCqgDDgWpttbAe7Aa1xLj5ErynTZhjl+YFbr/Tb0zv2M2aqh/7j3tbZppZtveVmNnzUE0nLAjPSV6wwV2bnxR11XnjL3IABKxTI57mtjrVH7r7G3nnuTrtj4KVWd8faxkyZfk6UzfRzk5cgt0Pnt2v7FvbMAwPtrWeG28Ar2xtCAeXl2ptHJ2XlLsvY/9QriPdhBJ999Z0deei+xvLFW669xN567xN78vnXwtMZ2W6+aQ3be/cd7a6xTxvPU2Ik22y1mW1So5phhiHxXNy/c6W+RdC68PIhdnbnAdbwlE5e5MOWNCZCeJYZVMiWcE2n6+Irh9op511lrB6584Gn/EDGVrU2dULtZ35QKhvCdVT4re+E2QG3jfWDgUe16mYIk+Pu6GuXX3S6XXvZucZ7KdPvoGjZW+19FPnGAmILNnKZCR69Jo593kHMKIvm9fjG9e29mV/aF7N/sN9+/9M9v9PsikvOMOqdex6caJf2vd0YmI8j/mgYpIVndLkbZOH9848bwGV2KjYiGXjvfH5zYwC1+4UtvaD+yeeZW7bOAAHlhfRRTue5gQwG1/md6D778ju75Z5HMmZCa+GiJQb3Bx+f7G1qD+5zoT0y8RVr1aGfJQrW8GN1VqZNhSxz70ZW+nDPEnkw8LPnrtv7ZzvxXFy/EaGvde/e9105pVMcBKkFQPyyioFZ6ouX/BVXEpKGU8/l+5GJU129MsgPskx98wO77+bLjfrt6m7n+Hc19XDSi2M4SFnJtbISZotnuqjalLn0Pgx5sA2C3Ci3tCGHXN3RPvvqezvhrJ7eHBOrcUPBOhzYzZSpEFaM0EZgQI46pSjLCvclF/ofcFju3oW51G+GTVGXFdJQvvx6dtiBe9hr0z+yV974gEP5HCL2Qa7/+t7ML/Idz+SPXOgLwSUX+qr0iemThrxzoU1Z1O/mkIW2yQmkLVpzecP69WzmlJH5HMc4J7duBJiBgr3MBx+bZMxyxrTBg7dfZW9OHG4XnXOyLVu+zM9ipWPEy2ndYlnzVUEQWMumh/ul0NiU+3PBIrvk3JPthQdvtOedO3i/3Z2AsMy55b7jvuYQ184HeWMp75UD7jZzKmOn85o7AbaOdek7zDaoWsl6dznLXnl0qF/eU2fbWj5wRDCWe/ofGfwTFQoG3DrGdwAnjRtsdw3qbt07tHScTrFmxxxiB+23a+ypoAN85sXX2QltrrAHHnkxL/wD96lrjNoOHjHeho18zAb16eAEuR0MUwdTH73FTj2hYZ7fuHYQrHv0G+Fn64ZhBkFgRx++vxcvmPFM54ulwLvtvK1d2am1v2eH7L9b6D22LWlh9jQC/g292vuPwXROMoix/N9/vb1TylBskScExKyCHbf9nw24bYy98Mrb/iyj+JjjoEE/Zlgv23WnbazjFTc78fxXfz4Tf5Y5gQCXGDY2Xrkfnc47xR5yg1H/LFvm7dFGBSjL4D8GvxDRMdXCc05U9ffZ1Vqd1MgvXV/iBIINqlY2Bug4F7cLywr3BLER4TqZnX5X7fi6dkOXlrVMQ9reGXy87d5HLQiCIq1vwwRvv2qwks7f9Vecb5vV3MiXU8ykvPHuJ0YZCYXr95zw820GTSPR6Tr1xMOtjnuWBl7ZzhCOTr/wGnvs2VcNAZ2yfaCr9xB2GCD8bX78JneIk3fQlQPu8Xk/ttEBdqsbVIHTTU4EHDGgqyF+wQ827jZauXJl+Rm7e+Pdj+3am0ettlol+j5CZPvHCdcI1l1632aXXnCaHXrAHrGmhWd27GOTbdSE5/OF+78tatqedbezu8Y8bRf3Wmlyp/nxDdxg1D722D39jMGOihXK57umsD/CtDCY/stv8416Zdh1nf0M4mPcvXrq/uvcu/hQX6/gl5WBmK8rbLzJrl+8ZKk3hfXUi6/701tvual7B+/o3gNjfdnxB1f9oWM2xrXxjm64X0ZsXTOjufn5feyjT2fbxhttaAjFtC0RrjfeaAO/WuHff93orUsPgnWXPsN8fZsJUyHz/1hotOV4PhDy5/76e1J7t0EQ2IZVq7gUZeZ/ngsEa+p/2gi0FbhnzGBOnHGNX56l736Y6wZ421mliutnJlGrQmVywX03X2Z1tqlCfwPWAAAQAElEQVRll3U83b+Xd9zuf/4sy9hJZ4WYnx0fuPuTS2XFJWe1/4OgaNqUJIR6vl3rE6wo34eURSZBMKjA4ALpwgXB6sI1fjNZbpc7MZRVK7xvqUtJx2abbGQI15iH+m7OXNcnXMZhQ7DuevUw23ST6rada1dYzP8QrFkxclaLoyxcKRcERVNWqFNypf8x/b1ZRpsF3J2KuN/MKhXKCoMWvH+LqqxQf4az8Y88dB/r3fUsbzKL9jecom656zfV3Hj177VF/RRmPywrhFGUfSHuBxMaWB3Ac016cPSLst1XJd6XX3/f2na9IV/7NhfalEX5boaLXMEE0hKteVnRIOblVXBwcZwtfWHQuQiF67Guc0jlgtCE2HdDrwvstcdv9QJPEAQZhRME/wkpiJM0bolwY9cJwgYUYvozDwww0svxuBz5ffalt+z2+x73M6MwNUFFGr6AWXJMxR8EgW9MIgQ+MfJaG+vEQF6KcaWDcKjMxzw6yQ44roMxm5qPC9IwDIUCZhEzO6nahlWNj+c0OmQvO6rBvn7GATbeCCMuxyhkFydEnHT0wfbGU8O8La4wbO7J8UfWd6PH79uNV11gCEvhOWY9BEG8ZYU6oNvVw12n+GtDTIFJGB8N/T2dePHF1z9425WkLTyHoBvux7Vd5hoZdzuhpIsTqRnMoTN6QwrhmnK15eabGLNs44o/WTiIaX0vPdtuGPZgnnAd+qNc9Lz4DEO4vurGe43BlvBcXFuY3Hj7Q75hhkCSKtwNN6hsg3tf6DsaLEnmulR+C3MccyCIA8tdp4f8X9jmJHvQ1W0IkDzvYdjcv2uHjrKTmhxs3KfweFzbZQllhXollXD95oxPjFmbdTJkm5EG83W3jM4TFYOgaOpb2D781MtecEPcatn0cD9Yef0tY2z/ejvbk/f194ODDCpQF+Of+uXOGy/NSGeU8HHcm7DOH+ieo1NPbOgGTQf5D+xhNzmwAG9+xvWt/S+xGtU38L/j/INYhSj+2/w/jQ9OIRrss8eOxqxdnnHqVuKjgz7gtrHWpMF+fnkpx+J0xMtgJB2M0y642jD7NOvL79x47krhMXwfYSoEu/C8JxCsGx+2T5zJ8GGxaufWex8x2gPf/PCf6ZwgCKyFGxyd/t6nbgCmkYVCAhcFQeCFY4vxH/UG7aNHJr7i33nhux/bpuefcby1adHEr5QgSvxS93/46dfW6JC9ORSro1PMh52Io/x66/n7wruusxsYJKLzuw+y8H4h4vZ29X6NahtYs2MP43SsjnbCdbc8YFd1PtN/0+EIl1/qXCKhrTbYDbbADBGMjjyCNaZceO6DYOUzhd/COpizCu3YMy/zpt0+/PQr23arzY2BDAa0SWc0Dt4PrODbe/cdoodj2ad9kihYI6J37Xu7sYIDAT8qXPMMIVgPdoP/tCdiScSqQJa7dyDl5ORzr7KDTuzo7eEjHmy79Ra+XqH9GN4v3t1D755gCIKwWxVEbBvuQS6UFTKEwMVzwerd0AQg9R7nst2mJE5cEPz3Ti6q9+Gnn39jIx961k9iwswe7TTqkDB92Sq3PC/drhlunXrfakPvmWCsrEaMJB3UvQjXzLjuP3S0n8iCYM3AC+9w3uX4W3uX/AoEa2zR82wefvBeFgT/1VvZLivLEtqUpKko+x/b1d7CvvpmjjGwD3f477VbHctmv5m6n34zq+TuHvu0tb6ov42e8IK/mdkuK0RKW542E6vD+J1KuEZXeGnae9ag/p54i90llhXq+QuLqC/04Sdf2cW9hlr7HoOs2bm9kn5/hPRluq8KZARrTLf1v/zcfHpSEORGm3I7N+hGmz+b72a4yK2ZQFqi9ZqDkY90CKxsBNzuKo3BeR2a8Lqd62xticJ1eC4TWyrrMy/ub70G3uNn4YRxBMF/jbaocB2ej3vLy44GPYI1+YcDx3jZLF36lyW+gOOOPxrecte5oGP35AvTjNmx9wzuYeOefMnbKcYfQsHwAV2MzhgNfzpGHM+EI+zBd4y3M04+0uhghmJJNK6GB9Xzs9D5aFr0eCb2EekHOmEYQQuhJJr/IAicYHGI0eHCZSL+aJiIA90vbGXbbLWFYVMP4TNZw5FZz89MetNYMcA10TAKu8/9effDz/xHFsOwELXWJFwPuqqDN5sSXhPXlvxhbzDsRBR0HxCub+l3sXW74DQ/Qz2uNBAOYg6zPho0u8QaNe/s7s9wP+uQmd7YHcfe97ludH3C068YA0Inu478/vV2sUyIOaQHLollhYZ9onDNTNWhd00wTAtQlrg2TscH45547jXbb8+d7cqBd+eZIAmC7Na3YZ7q71PXfziVDmdUuKbOp2PKTDNWUNCIDa+JexuKFoc0vciOO/Nyv5KEWS/ROp/ZtDtsu6XRUU1WB8adJsJj0O1GNxAYCte8tzmOg9XTk96w0y7oa/Xqbp+xcosQ2/y4Bv7DdU+Put6Y/XHWJdcZJjAYNORdxfsIG9cIPUkFaxIcg0MEfeHBQZbMFvA2TpRkKf9Pc+flExJiiDZfELQJQsF6sBMWmcFLHTzMDXRHVyDh71snrPdy7RraFJhwycTgBvz5zsddg7oZA6ikjbipO4b07Wi77bSNNT+/t+3a8Gzj2wabblzdLruolVH35MtYDD/IP4NNvH+SBUebavAq4ZrJJ7Qn4hasifeFV97x5kjGjehjdw/q7gfygyBw5eYo96zUcaJXX29ChgEf6pjOTgw7/OB6/oOEXB+n41skM2Z+7gbZtrAKFdb376Du/Ub4wWueFeqSIPhv5up65cp5wZ/7F2c6eB9eMeAuu2/8c74tO96x2X+vXfxqFo5RZoiPsoyNUdrkfK/k4rbNMvI85UpZoX1/lut/bLJRNRs55DK7vuf5Nv39WUb+5/z0q8970ybZaVOympH7xH3ABUHgBuFWDuRm831I3LidXF+QgdIWxzcwJgp9P+cXa9i8s59Nix3pIMh8ueWd1/vGkValcgU/iP3wnVfbYQfs6Z7vqSTRu6gYefTp3S2TgnXXPsPspKMP8QOhfQfd559nnwj3JwhKX//DZTvv/xpu8L7dmSfY3WMnGgOB65Ur6+uaqHBtGfxHHcb7j4FRJpLRd+a9y0chmY1O1NkqK8SFa1i/nnXrcJoxKEZdw7FE4ZoyTlk68tC9M/IOIs5k/Y+i6gsxm3rXHbcx+qjtW59gTAw54tQu7pl+xffdSS+ONj/C9aAM9VWjgnW9Xev4Af9Hn5nqJ3zRrsq1NmW23s2wl1szgbREa+x81tmmls2d9/uaQ5SPlAQQilm+uVG1qnZ25+v9aOS7H35uPKhcROcC4fbBxyYZLwFeBhzPhPv8qx/sl3l/uMrqLzvpnF6GfcMvZ//gK5AgyN9oY4ZVJtJA/pIJ1vc+9Iwb2X/EMP2RrRcw9wDBmg+BIegxy4WG42knHm7Y3w3zHwoFCLejH34+PBz7lo7393Pm2r71dkoZNsvUDztgD//SWeZG/1N6LMQJGvQs9ypXtowRXzT/UeF6x+3/52d7PzdleiFiS/9SygXCYyrhGjEUEbJXlzO98JN+yGv2udwNbvCBq/MuvdGOatnNwllCzAbZr97OvlGQasY1gvGaY1g3H9GGIWJkonCNWDBs5GO+wY8ttyqVK65bRCmuouPH7MNlriy++vgtNnH0APvymx9s6psf+isOO3APm3DXNd7e6ugJzxtLS+8Z3N2btOF+ek8Z+EPYiWUlPLb37jsadte7XX27XXh2U6NBmYEk2NZbbmrMDu532bneBvxFVw4tUuGa5xizFx99+rVRVhBjW66acU1HPVN1fsiWQQJEC8S8h4b39gNLY917r02n613H64+sdrr4sBMDX2Ha2CYTrpe75/5+Jz7d9cBT1rtrG+vQpmlGREjixyFCki4GPDD7xCqnik6Aw37ziWdf4U0wbLJxdXv4zr6WiRnWpAEHC1YYRWf4cf84V65sWUMEffmN941BCI5lwmHvHHEYm9mhYH3HqCf8wAvicRgndQozianf6DyzQiA8F+cWcROxnsGEG3tfYKQtbLNRr9Lpm/7MCJsyYYi9/tQw/0FgOoNxpoGwqHN5VnfZsTY/kzpWvWA/esjVF9nV3c42nvMg+G+mYtKL1vIg955n48pOrf1quOjl1LW9Op9pl198ug2+Y5zVP+FCu+CywYYpoLOaN/ECZdR/HPvUb7TjXn3rQ+s35H6jTLDaivcA6SEO2CHysHKPVSTcU47H5RBFMDNUfr1ydu9NPYyVk6Srw1kn2k1uEGHU+Of9R0JpB7/4ytteYDmrRRO7tse5RvmNKx1hOOQ3F8rKy6+/b7QT6Ot0POckY8Xi3rvv4AY6uvkZ5rQrabtko035iqu3jncDpoc162SJM5p5Tk5r2siy8T4M7xFbyueJRx1sT7vBUT4SN+TqjnbnDZfa5Nfe9d/Pad9jsOuTfG/Ux5kot8tc++02106c/8cCw/wh9RZpOqz+Hr6/SBpDF7Y5ebYZbMZfeC6OLe8/JkFgEgQbvDemGEzORlmJ5od8UpcURf+D+oI+2f2uLcJzQroO2X93X+8iHHOe9HE/siFch+/m3l3OMt7NpKferttb1aqV8rQNjmW6rBBH1CFSFyRcn35hP+Od0PqUo9b4DoqGu7b73IvEsnLYgXtkpS9EWVju2q2kmXcKA4FPPD/NmPD29Kjr/fPtxesWXQ39gwkQ+OWZz0RflW8G8M0IBmXr7bpSsGb1LYOprKxkMDmX2pTwy8a7GeZy6RFIS7QmqNObHWmMhtDw4bfc2hPYvnYtJ1js6l8uLz40yFjyzEclmkWWaiBc3+BezNU3rLL2EazFFfvuuaNvLDasv5e98OCNtuUWm1grV4mzrOeDj7/0IbVserhd4BrYZcqkXUz8den+CYLAjZyXtd/mL/CzvakgEKyZsXNT3wuNl5y5f1T6vICbHXOI+5WZ/8uUCVxayhjLZxlcMPdvmWu8MbOBdP0yb76fVcuoGx2Ph+/oa2ec0tj5ysz/mClYvsoGZbIY+CAYSwiPPGwfQ1wvWyYz9wjb5jff9XC+QRTyzww/hHs6GDDhRXP6yUcasyKTpbewx1jaxDJSlsozS5fGLOUisTFAx5OlejC57orzjZHlwsadeD0v1gP3qevNE/S8+AyDBbOj+FDoAcd18J2Npk0ONj54+ILrjCZeH9dv6uIff57nB5rCMHlm6OQkzrhGsGb5JgNBFZzwFfqPa/v33/848fMBW+HKbB8n6NFAopyc0PggJ2bNy4uGgQ8ako/e089/yG47VyfmnYxpJ92yEpafYw4/wC5tf5rRyI0pCSmDIU7qMgSvZMJ1pupb6rDlqxqvYeK4P0UhXNPRuu3ex+yic5p54Zd0wJ5ZOltsurGfUZatVTaU2ztGP+lnPob1fsgHsZZOMnX/hImv+PfDeacfZ5TdA/baJfaODh0GBnioT0kD8WMC6qHHJxsmhW66Y7wf/Hjz6dvtQieYj3KDprO+/BavSQBrIgAAEABJREFUsTuWo780bYYXhcNyEwT/zfBjqXYoXNfdcRs78aiDrEqlCrGnAxaYUth7jx2tyeH7WZ9BI43BQQTrGTO/sEFXdbBo54pOMyJ+TyeQIh7HnqAkAdL5ShSu8YaJNyZ8sOV3JhwfVKrm2oo//vxb0uB57m+8/UFj1hszIY8+fP/Yyy0Rf/H190Y+WaHB70RXxrWvmjTYz156eIj/Js5LDw8x7MXzLk30G9dvygLC9YwPP7d/V/zr6vgWeYNMoaA8wg18hOU7rngJZ5lrOyYKfxwPHfb7T2xykE2c9KY/xH15buwNGWWSC2UlFC06n9/ceG585lf9oc2AoE+b+8vZc/wqsEy2KYmW9w1tVtqM38/5xZiA0GvgPb4/EgTZmbyz3L2XMR0Wff/QP6tcqaJNe3umH9xmKX2vTmfay4/cbMyYpNzyviAPcTva8qzaW7z0Lxs4bKwTqv826mHqkLdmfOpX5/a5caTrE0yyF1z7Fv+sCqJtE3daeAcOu66T0Z4OgsDb67/R9Y9/W2W+i+eYOElDJstKum3KbPQ/yO/09z+1O0Y/5VevsPKqXNkydsGZJxqThnh28MP9oK3ZLIP9ZuKhLuPdfGVkBSGrRmDWf+gDRlm59Z5Hfdp++/1Py0RZoRyce+kN/vkdPGKcbyPwXNGupL+ROOOa2cYI/fQf4UQ+4nLkO52+ajb6QtPfm+Xb0zy/5I8VlosWLzGO0398ZOJUwwwgK7EmvzrDzu48wOsc+M2EQwNr2+pYu/H2h3zbMhSsB69aPRfGmSttyiAI/De7Mv1uDvOt7ZoJlFmzFzM6bV37DjNG9/Y9ur3VbdAmn2vSqrv3k05YpdlPEAR27BEHGrOS/liw2Jt+uK7n+fa7E217Xn+XhUs1mJVHIzYI4p0Ng5BF5c49YCSNDvGEp1+28uXLWdd2Laxr+1Pti9k/GMbxm55zpb302gxrfNi+ftkX12TCNXaiK2YD+g66z87vNsg1gt6xqGBNp4vlPYgYvOwQ5TKRjiDI3yH/8NOvbdwTU4wvDo9/coqdfO5VdlizS2zPI9oaL0eEl7hfdtwb8kqe6fxxj6a7RmKy/NLAfnHqO7ZRtQ0MYTAI4i0rYZw710lutgahCbEW4fpKV3a7XzPcsAdLQyC8Nq4tPGik0Smm8frGuzPt6NN7+AbKLXdPMGbD1/7f5tbtmtv9C5eGY//Lz8uIYB3mCTF8sBtYofPw4adfWY8LWxofCn3s3n627dab27NTpvsZo4xqL17yV3hZbFvC7NJnmKszuuYzGUAEPCNR4frnX343BGtECxqxcZdb4ixffj1j9sBr0z/yzwzHeEbe++hz+9LVKTSmJ0191w8KMeAQNqLwF6db27ICi24dTrNGh+wVZzKMdCC2RVfShBEQJ/chKlyzjHKZ67xS73OfQr9xbbE1e2HPIf5jSdEweY5D4RrxlnOZHqxkYHD+nwu9bWriCx3PbfcLT7N5v/3hZ+eHnDLV6aIcLnPiEgJn7f9t5lcbRYUD0kWn+ezTjrapb3xgi5cs5VDsbrm77w888oJ/lm+/7zGbOevrvDgOPWB3+/KbOYbNXQ4ySIYYSzlhJjH1EMfjdMyEZCb38Pue8GL+9bc+YMscJ+IIgvzvySF3Pmx8WJRZs9w//MTlqCMQp28b+agtdh2t8Jk5uW0vSxSslzuGfBCSGTtxxR8NZ5nLPy56LLqPABcK1/e7wQQGFJjBH/UT1z4DkHz8ET7lypa1Iw7Zxx56YrJhViExjjluUPNLJwDuVGerxFOx/iYdDNySpmQBf/Xtj8YAd6aeIeJkVVhi+AjXrHDhWb9t5GNefKOdFZo+oM2bCeEcHonCH2kMXRAEflUP94wPL4bH495SVhgcfffDz4w0FXVZ2b52LUO0GHDrGJvh2gaJ+aW+rb5h1bxVvXvssp3F3abk3Ux5YLtd7S38faDOpc306D3X2LJly+241pf59wG2gk87saFlajCZ/P+7YoW9//EXeTaIOUbbn/7ZiNGuDu55s7VteYyf5ASbS10/bXCfCy3u+pZ4QxdtQzIzsvcN9/g2DYMNe9bd3g/gfvzZN8YqoA03qBJelpEteQ6C//o3lJFkwnUmygoZopzkUv8jCAKjbtllh63tkrYn2y13P+LLTuXKFf33lfiIZ1gP04bKZL8ZPsQRvpupa+598BnDVAltFUxvUE553t54Z6ZtVH0DLond0ab84usfrKkbPCfw9j0G++9S0SdkMIxyGxWuae93c+1+0o7/uNzalpW44k0VDvUbddiUaTO8Fwa4mzTc31jpin3rPetu5+q2prZfvZ1s1C09vTkini/vOQN/gmDlQCDvgHbdBxtldXBEsIYfH3Eecsd4169vFHsdx3ORK23KwuMtnSGkJVozW+TZMQP9DImZU0autuUcfkonwtS5ZskkFeUJba7wsy+Xu44VH2OrveVmXhBGoLzBjWTf1r+T/9giI+l/OjG7rOuIpA513c6w/JsOMTPGwhBYrrj833/tnQ8+N0a8xj3xkj1y19U29bGhxpJJhAVmyIT+M7UNhWsabq1Pbmw0mIiLCgy7f3zwio4GxzLpgiDwS+5an9LY2lxynT394uv24PCrjFE2BEnK/kcv3WsjBnSNvTIlf8wi++SLb3wWedGTDkSBDz/5yh8L/yAGspTniEP39jMPwuNxben4UV7C8AoSrm/q29F3PvbctY7RIQmviXMbBIGd1byJnXLcYTb2sUnW+bzmNu3J2/zHuBYsWmJtuwzw9+qdDz7zo8qLMyASJ8sPghHC9e33Pe6fH/ww2MCz88TIa+3Np4fbYNe5QMznXJyuYoXyhtB2VvOj7NQTDrfL+99hJ559hTcZwIuZZ4hOGANVR5/e3Q880bCMu5FGpxihmmeVWQ29u55ldHKenvSGseyMFQHl11vPnp70uvs91g1M3WgI/XGyiIYVBLlRVnhmaRS27zEo6UdPuA/cD4TrVh36Wfvug+2XXzNnfqvRwStF+S59b0sqXF/Tva298PLbhrgUBIGfXZAJ8Zx7xXuQGc7LnBDI76ij3CLIvvrWB/4wnDLR6UIIZpUTnW46NXzEjucJM1mJwjUJ4RnOxHuZ5+a+8c/aUy++YRPcuxchGlGAOHF8nPTwg+oZnY3LLzrDEDM4nimHYM2sPuqOh0b09u+6t9771OAUxhkEK9+TrFBgltdpTQ/3glh4Po4tdRidi7c/mJX3cV/KAs8MM+qYSPHHgoU+quWuXcX7cNKr78Y++EQEy1w5ZWYQ9RrvXo4lcwjXN1zV3hj8+fq7n2zzTWsk81boY0v++svbfx9y53gvwrLaql7dOsbEB9qcYQS0KZh1Rgc9U+/mMK46225piK/T3KBleCy6ZfUeq7YY3Iwej2v/lRRmHggf4fqWfhfbq6tMhcCpSuUKhqgS9/O03JXF5109Sh1CXcZzxDu4/9DRfsYq6QndokVLvemyihlY+UQcvJsZrN6qVk0nzG5n/CvqshIE/4kWl/a93bcdSVfoeO6pZ2vWqB4einVLfYtJQr6rQZ0WBIE1bXKITX5thp9dvWHVyka/57gj61vNjav71aeXXn27Nahfz7ehYk3MqsDCei3RlAP9syqVKtrpzY7wgnUQ/Cfcrro0tg2ztkdPeMForwy8bax97QaZwvJLm4DBL0xiHdVgXzv52EMNcz/XdD/HMNlB+i3Gfwz2dXRCPQM6qYJFWAuF62tuut8y2eYPgqJvU1Ju5/46P8/cBveGQY2pb37gTQ/xXGNu7bf5C/w3l6a/90kqdIU+zjuQQdMOl99kfQeNNOr2cmXLGO9m2rMI1vQDWH1FW65r+xbW59I2Rvkh3YVOQJIAdtt5Wz/ZjZnDu+60rT0/9gZjApHvu7ryjIkZTEH1uHaE8T2FJEHEcigIir6sRDNSww0StIvYO+ccegvvJ9or57c+IW/1URAEfjDKYvxHfc4HOk9oc4VhTpOB5SBY+Q7ofH5zW7hwiXFfiJIyTt1Mf/q4Iw/MSFpypU1JfuXWjUBaovW6BV26r2Lp7DmdBxijxMwUu/bmUfbwU1N8567p0QfbnQ886W3Y8cECKtyyrtI/3AkLjKDG3QjgTjBLFRtojz/7ql9uxjGE0aMb7ueEvrt8J2joNRf5RjQNeV442KoMgngbSnSqEPJZPsNSPDpVNJioSPv1ONdo3LPkjArsvvHP2WPPvGosD2NGIGmOy1GZMspHZ5f4w3CDIPDCNfZt5/z8q5+5G55jGwRB7JXp4iVL7eqb7rMp094zlt+F6WGU+vSTj/Azu/ngFI04Xrhd+txmVStXco3ZIy3uf9jSPq391bbv0e0saorDv/yvbGeJ9tYnTX3HmInY0gkXQRBvWYnmjecDMRj7pRe4xhICHzMrenc5y89wZsk+9vf46CICU/Tawu5TFnnxNmvbK08UDsNMFK7xG54jHXE/y5QVykcQBL7zgKiz/1472/MPDjJMBiCuND6tq014+hXboEolo9N8+cWn+wZl3Gkhn5SXK65f+aEp8h4K131uHGm/z//T+HApDdah11zsB3+ef/BGu+KS1nkNJcKI2xVlWQnzwhJeygbLEFN99IT70cjV+YgKiF2ZqOP6D33ADUp+5gfZWALNB8eSCdcMtjDwvHTp32EW1nm7pgu32KyGn7WVahVJtQzP3EKwxrxF2FgmvYnCNY1rjlO+h418zE465lBv/oBjcbrX35npVyawaoV7EIZN+wHxk/fU8Y3r2y/z/nCiytzwdEa2yZbub1d7C2OQHXNV0UhZwk/Hh/ol7o4oeaZzcdfYidb8uIb5BmZ5ZsLOMbO6mGHFO3yyE52iK7SiaS3sfrmyZf3MtlTiYzT8d9zA6dEN97dMLDsO44E3eX33w88N4ZrjXZ0wsEmNDf0MUbj0vO5OP4i5Wc2N/IcQgyBz72biR0Q6/4zjjfdP4gxaZsBh4oZBeFjiP263xaYb2w5OOKeOYxXakadd6s0YUE6Ja6tamxrCNaZCqm9YJSOCNfEkzprlXvGMJJYd6p7Rj7xgxzTaPyPmWkLBmoFHnheeG57Xjz+bbUVdVoJgpWjRttWxlihcPzv5TavgBuSpd+AZp6N9Eooi1/U8zxikJPzQHjLmL7r3G+FXyiGwsQLnpYdvsqs6n2UVXZrwG5djcOOPBYv8e5AwuT/cp6hwTf/stBMPtymvv2/RSST4j9N98vk3xgdaZ86abccdUd9+/2OhG2i/yobf/4TVqL6hb0Mu/etvGzT8odUGXuJMRxjW5m6wr+Ym1Y12Pn2e8HjiljoH4Zr+B23txPNx/i7qNuWcn+dZu+432hkXXWusXCRvCNV8r+BtN7CLqaVH7r7GidrLjQGH+8Y9Z0sy0JajDjnb6RpPPPeaMWi93nrr2XndbvR17T///GOUYcweMQGLthPpzJZDhGW104Bbx9gLr7zjzbDSZ3xi5LXGtyX6X36udb+wpdXZZsuMJAnePNdFWVao449V568AABAASURBVFjRWpC9c56bExofZLwnXVWcERYESjvu2iGj3L2Ybt07nObNuLEim8H0IMj/Dnj3w88srJv51sHOdbYmiNgcacmlNmVsGSuFAaUlWtMADk2CsF8KOa1Vlpll1+3q4XZZx1auEj/F2rRoYpd3PN2YgYHoxMd7aEyed8ZxtpsbISwg8EKfijZ2iAsD/CyjXbZ8uQ+70SF7Gw3rS9ufanGLJj6CyB9mljMavMlG1WzkkMvs+p7n2/T3Z9mZF/f3S1sRrkNTIXyoJ1OCNUn61DXUsAn99ItvWKMWXVb7CAsCP50sxA0EBK7JlKtYYX1XTprbZNdA5r50u2a4/1heEARGOm52gwl8DOCoVt0MLgfvt7td0al1RoQ/OpVBmcCw3Yp9QUSVxq4DSCeQ8ntR22Y25tEXbexjk32DG38tmzaKveOFaPTCK28bz0vIPbExMOenX/2pIAh8A+WMk4+0uF92RMAz9Mob73l7ssNHPWGNV4nCYdoQJ6Mzrmk4cF3cjo7oxb1usfvGPesap//aNltt7j9qyEAUnZ5y5cp6cZJyy3LxI07taiwNb35cg4yUFfK3m6u/EFB4lhhkIu8I1zQQsZvGR1rwl0mXS2UlzCciKDO4MA9DnZvqoyc8+4P6XJj3AZvw+sJuaaTRYPzi6+/zZojRCUbUSSZcM5uWOLeqVZNNRl31Data+zNPtFSrSKa+9aFRx2UiETxDf9EB793Br9xgAJBOO3Fxz7DHTh1ywlk97UhX77XscI0fHGpYf0+8xO5oqB9z+P7GTOowcNoPXXrfZvePf94xGm+b1axhLOPkfRj6iXsLAwYLEJLo9IXC4yeff+sGUj+xW+951NumHDR8nB+4Y9bXwCvbG22HONNCuaVzQUec98+A28YYs7+jcVDXdTqvuSsju1nTs6+wTArWi5f85Wczk89k4mOYLsoVgxvUtVdcckbs9S3voMVucDuMj/RQ7767Sriu4NoQ3I/7h/Y0BhkQm/h4G+06eIXXxbFl0OeqG+7xM+yo78MwGWRv3byxndNloF3e/05fThC+mJFHueJdEfqNe4vISfipzDwg9Pxvi5r24PDe1qvzWRlbsQBrymZUfOReRcsOS+Uvu/YOo7174N5140bhV9Iww5o+BmkhTbSVmL2KMFmlckXLVllB5KJ932uVnegws0GQX7SgvqF9Of6pl11fqVXs94dySl3LhJlO5zfP106kzYt5IyaxYNotZEZaeSdE62aOFdYtX/6vMdB28Ikd7dCTLra+g++z9z/+0gdL3NGyw7dT5v3+h3vWvvLn4/6DgDTgtrHW8ZyTjDYbMxwR9PlwKG3IUQ8/Z3wsOVp+EbDjTkc0PMorg357776jpRKueZ5xCHC8r6PXx7GfI23KvKwwoD329quMOvb0jtfa1Tfd7/uIbVocZWMfneT3ea57XnyGPfPAQLv+ivNjH2hZ5jSDwe79f9gBe9jt13cxygoDO+Pv6GMMhg287UGfXsowM64ZPM2UcM37lu8B8O0NH+mqP1Hhmvpk1WHfLzqqwX7GpCf6keHxOLbT3/vUDxDv0+R8q9f4XOvad5jNnTffr1YnvmgZDoLM9lXJz/Q07J0f1WBf4z0+64vvuCR2RzuO/geDKkxYojzQLqrgBv9YSUGEQfDfOwBTIUPvnmCZFKxzpU1J3uXWncAaRWuWevw09zeb/sxwbxaEqDjGVm51AjSOqDTMVljNjavleeDlut565dzvwDfITm/W2BBMaTS4gxn5n87vEU6Q7T90tIWzM1uc0NAvj3lrxic+TtJ1YpOD7ZGJrxgvJX8wA3/oePKipVKigcQsh71338HuHtTNdtjuf4a9QxpDNOSv6nKW/frbn5aJGdZh1nZyI3l8rK/F8Q28HSdGHRs272xXDrjbmJ0TBCsFYwTAEaOezMiodZiWIFj5ImNp4k1OwOI+RIVrPvrFKPqHk+/1HzLiwwk07MLr49wycMGsvxenvmOzvvzOBlzRzt6cONyb4mDZJEukGcnHlvTMz2bHGXVeWJRVOnV0dBBe6fhyDA80OBg9T2wMcC5TjpUHPK/MQLn/5p6GHXoa9Ic372Jh2kLh+p0PPnNl5a/Yk0IjLeyIsqQLDnS2WA3x6vSP3EDCJOPjdnQ44POQ65w/ds+1RtmJPTEJAdJQREBJFK57d11pKiTaeEy4tNA/KRe5VFaiGUrnoyfMbuaDLNHr4th/ZvIbhhmBhYuXeLMs1K2EGwrXG1atYqd37GfjnpxiiMc33v6gsVyP8/iLyy13HXTEgpPPvcoOcp30sy65zrD1fcQhe1m4ioRBVGYe0pil/q1RbQNjFlFcaQjDoQPVtutAY9YjHV2eE56fqHDNs87qjadGXW/XdDvHnn1goGViUI40MXuZOrV6tar89I4l61cOvNuvRhgz7Epv0uDWex4x3kPNj2/g/cT9h8HkHv1G2Bdf/+Dyeri3OcsMSOxss/z3orYnG7O9aSvQXuHjYMxsow6KOy0Tnn7Z3v5gljcJwtLzTuedYgiktB+icfH+6+SEawZvqXsQBqPnV99fuyPks9s1t9v+x7Y3bGgj+hFHMvEmrJsXOVEZu6JBEKxdZGvwTfgIv/sfe4Gd0OYKQ/BCVEFMIu/vrhKul7lnre6Otf1MWmbTble7VuyDyTzPdz7wlL330RfW4fIh+b6nEASBMUHjYSdiLFu+zKhXaEuNGNjVGMhcQzYLdToIAmOQkAEM4qQtxbMVNfOAmBAEQewDCssd9zXNmo2WnWPO6OHavFu6Z/qo2O8PEEOTfgxY8y0Yyi6D3dR1LZse7uMMgsAyXVZIy+df/eBXiSz96y876ZxehvklxEb6SUEQ5NU32KBFtMDkBG1Qro3LERfvIJad719vZ2N1J4JNNHxY7LvnTraVG9igbomei3uf+0Pduc3/Nvcizf+22MRYrbb/Me2tY88htvvO29ourn/S2Q1cLnNC4ZWXtHYi+1ZxJ8OH99GnX/uVow0O3NOXC3/Q/cFE1bWXnWtjHnnRf+coLL+7ubSVLVvW+cjs/9yDVMI1/doLLrvJmzLLRCpyrU252A2cUoZpm9BmYVUp5tWOdwPrbznBdKstN7Wo2U8EbiYGxM2GtgltKFaKly37n3S0Va1N/SDYa29/ZHyAkXvHu5lJRJkwB8Uz0f+W0dZn0L1+YkG/IaNcHTM/L7v0R8IZ15nsexAh4fPsXtr+NPtg0j02cfQAP6GoVYerDVOf3K9s9lWDILA2pzaxNdk7p4xwf6pvWIVsxO5YCT1j5ue2+aYbWQU3oB5GwISZihXXD3/6Ood30tXdzrYhV1/k6rmt887FtZMrbcq48lPaw/mv5klCYrFrhL/21ofG7AlGnPFyerMjjQbAL24kid9y+QkEQeDt79JADDvDdIDuefAZa1h/T/+xOq5g5tS///5r781cOcLOsbgdwvAuO9S2OT/NM0wbPD3pDWOWc+uTG9vdYyYa95c4+djT7O9/sq+++ZGfsbtky47DSChXzKiio0Ejm+MI1w/f2TejM795sZ541MEGk+obVnUVZkdjZtLk1941OhU0ohE3mOnMstKKboSQtMXllruODrNeJk19N98LF9EoUbiOK850w6HTgHCN3bJ7HpxoZVyZ3mOX7ay3G0zAtvfzD95oo2+9whBq0w1zbfwxY6CBe1bo6N51Yzd798PP7LBml1jYOKHBFDYGurhRbTr1axP+uvjleeW6t977xAvBt17bybbdanMbNeH5vLQhIvTr0dY94xXwGpsjf1363uZntl/Ypmm+TnfdHbexLTatYcy+RrBGjCPiIAj8oBms+B2XIy3jn5riZx9Gw6ShiICCcI1tRM5x/zCP8f7ML1bzz/k4XK6Ulemu83Di2VfY7o3Osf5DH/B1KzO0iuqjJyc0PsgPOA3td7EXafu7gcuocM2sKlZJPOJEQjpp9w3tGfuqH94vVwxYaTqGTsz4EX1s/712sY5X3Gz3P/y8IXCxiuTJF6b5GWct2vWxuu59ddlFrfKV8TjKCZ2tLn2GGe/lE1d9rIdng3qEY+G7OoyLgYQD9t7Fz9AJj8W9ZRB7s01q+JnMdEoJf2vXAR3nOB124B7GzFBmNWHai44h73P8xOkQrBkwRiBgVl8QBEYngpmxN981wfgAWauTGvkPPDHYjKkfhKWwnokzLYTV1A2gU7cikAdB4ITIg61TAcI1M5s322QjLo3N0V6jrDBbmffdnrtub8+89JYPn7iGXN0x75nKxkduEbmCIDCW7jNb6bs5vxiDQMzSZED9gjNPsLffm+VE4vEZq2d95t0fnhmYb1C1sjHDDvMFl/e/w45tfZk9M/lNH/92Tiy/odcF3hwU70NWBLlLM/5/UZl5oI2UzqzZsOx063CaK9PNY6/jKLcIstTzYRsS2820ZanjeK6DIPD3gRnQ4exefyBDf/bdc0ej3mpYfy97wbUbt3QCbasL+1nri/obtnCJlnSxwmVQ7w4ZES1eeOUdQ7Bmwszgvh3tMFe3XtLrFj/TkPhxCIItjm/o+wOJszc5H6cLgsCvoET8Y5bzEYfsbU/df51hOq3xYfvavQ89a7Sx4HPrPY/aLjvWzth7aOnff3vhKAhWlotoPvdzAv/urt3PICXHKb88+/Sd+B2Xoywmm41PPLyX9o7MuEaw7ura/DxDtC/jSkM0nFxoU9IeoD5teEonb6px76PO9+1K2mq0TahXH3B9sEmvvmsPPjbZDy7QxonmI+790HQck2USw8Yc3rGNDrAXXpnuT3HvKCuUGX8gxj/EzzPDwAr9UOq7xi27+QExJlQRFf2RG3tfYDfc/qA3j8exuB317YOPTTLaRNif593IN0huuOoCO+XYw6zXgLvtl9/+m3Gdqb4qZYWVb2gK5BHmxx9Z36YWYO88CAI76ehD1k1jIZI1ODQEdJNXnX6ICTP6AgyAvTb9Qzv+zMutboM2tlfj86zxaZfasJGPGfUeK4PWEOw6nc6FNuU6JVwXJSVQoGi9aPFS40Nn0Y9ihLOHeUiShqiDfuQ67Awzw4EG2g7bbWnNXEUW4kGcHOQaaXSMw2Nxb4kDO4NUprcP6GJ8aIvGwTZbb26VKlWwJ5+f5qOkor35moutzja1/O+4/lCJskxk+9q1jE7wgFvHrPbhFeKig4pwPHfe7/zMiCMtvNSp4MMI9nUN6sqVKhqNMs7xAapenc60lx+52XgJjxj1hJ+hHvqPa8vLjpnUnXrfakPvmWCINdiqDsPnvt20asZ15z63eXthVP7h+Ti3X34zx89ko4EcZcNLJypcw494gyDwpjjomPI7U+6oBvvarC+/NYSdO2641Ma7QYwPPvnSm3K5vP+d3i47z9jdg7p7W1lxpoMyO/nVd/0y2zBc7gmdmkcmTrXv5sy1HtcOtyMO3dtefewWY4CFmYd81DT0H9cWkZgZ1pXcaPWcn361e93gF+kLw6dxyIdxmK1Zc+PMfLwojIvtHwvl4NtXAAAQAElEQVQWGqI0Qlc0HZyrt2sdvyxxrGvIMWuTY40O2cvoYJBOfmfCFWVZ4Zmhc3HNTffbpe1Ps9G3XGGvvvWB3TXmaT/I0PiwfYxOGWyYIR9yCILAvycsxn88o5TbNp2utw9XfbyVBmxUZKOBT5R00hFvHxze267s1NroCHE8Lkcdd+WAe6z8euX8h4Jo1FOnMEB5k6vbRo1/3viIHysBHr/3Wr+K642nhnn7+KQtrnQQDnV7x543W13X+T/1hIa+k85xHO9G6hFEHYTrya/NMAZemMnE+bgdeUYw4bkm7JOOPtgmvzrDdfbe4ad3iNTsMAuOWelNXeeC33E7BOvu/YZ7UWSfPXfKCz4IVgrXnc5rntRGcZ7HmHbCcssMTPJe2bVNwqCDIDA6HZ3OSz7jOvQX15Zyi2C9Z93trGv7U/03SQ7Zf3djtg6D2W27DLSlS/+28JnK5Eduwzzx7uGZoQPMx6F7XNjSf7h75M2XW9XKFe2aIaMME2aj3EDQlGkzwssytuU5Ik2UTZ6bZ8fcYHs6YZ8P1jU+rat/P9BJzUQCKCtjHp1kBxzXwQ8QstIpfA8hZmTTzAP5Y0CBOiSdWbO8B6iPEXPC9wBhxOHCcrvQ9dmqbVjVi5yUmapVK7n2URU79ogD8uo92hHUh+98MMu/o+KIP1UY1OUIKDw/5cuXs67tWvjn6ovZP1jbrjdY03OutJdcndvYibWZEi0wt3Fr/05eEId7J1evJROu9969jtGuRchNlZ/CHKfsYveWMIIg8MI17+DQjAL9INpyD95+lU1/ZoSNGdbLML9AueaauBzpoN1CePTtKQ8//PQLP/M54uWdvWzZ8nzH4/5R0Gx87lcoXLdo19cPeNOezJRgHeatqNuU9z70jI0Y9aQNu66zn8GLaZAPP/3K6L/Pcf0A0klZpb15dfdzbFM3cMv94nimHOVz8ZK/7JPPv00aBQPumS4rYcS0G//+Z5mhQyHg8+HF5cuX2wltetr53W70A2J71t3eHrunn7ENr4tzy8pAzHbttH3+2cGU2TObH+XrXdp2vB9oY2air0p+csXeOWmJOiZahMI1ZvY+mjXbpj1xm2/rv+7a+s+NvcGYLIM2BKPotYXdp46b7PrwudCmLGxedH1+AgWK1vm9/veLBlImBcb/YioeeyzVfCGF/d0WxzewPxcuMr6iS2UWzRFLwxOPRc+vy/5r0z+yBx55wUJxYg/X+SKej12FwUzIi9o2s57X3WU//PiLPeAa/6SdeBAtgiBgNxZHR2L4/Y8by455kbVsergXrll2jP26aCT4LVu2rNGAih6Pc//Bxye5Eb6eRmMgbLCFDeoRo58wGvFtWx7jv9KNgH6p67AOduIKnbM407Fg4WLrfeNIq1K5gj15X38neF5thx2wpyGGRuMhXuwO/rlgkW3gOh7MUIyej2Ofij3VUl/Cp8GaTLjmXKYdy5ewgzXuiZf8cis644gZD9x6pbHFtAGDDezHnZbJr75jl1x1i3Xpe1s+4Xr/vXa23/9YYGd0vNYQMpiFHwSBty3dxXXG6JDGmRbKCkIAnTlmCFEemf2OzVeemTAubORTZqe5Zz88lqlt2BChw5tKuGZm1Xc/zs1UElYLd1VZsWyXFeoRVh3Rubjp6o6uTOxmzEy6/KIzDMFxydK//EfkmPWM+SFXVFZLe1wHKCvdrhlu2FynrmVGWxg25TIU2ZhxvXjJUsOuang+7u0y13m4beRjNt89K907tPTmsKJxHLD3LnZik4MMm4QwjJ6Lex/BukufYbbDdv+zKdPesyeef201oaZs2TLe/iArb3hf1dp8Yytffr24k+LDYyY5HZ2wbmHGco+Oraz3DfcYdTH3kWf7STegTB3ER6Yo3/7iGP8gWPP8XnBWU19WmQ1DvGEUQbBSuKZDkeydHfqLY/vi1LeNsnvaBdfkzcCMlosgCPIJ1wj/ccSbLAw+7PiVG8itXm0DK+fKBfdj3BNTDNvDwwd0tTrbbmnUySxz5Zm6/OLTMzJrNjFttAducu0ROqg8w/8sW2bbbb2F8d5hBuvLj9xsY4ddZcxAS7y2ML+5D/Ce9eV/ti9pN7U66Qi/JJ3Bl/vHP+frk1cfv8WbzqItTDu0MPEmu3b58pW2gFmZMcYJevcM7mHjnnzJL0kP/SOo7+sGYLJh5oE4g2Cl+NjUDT6lM2t2masbuS5ORxmljvtfrZqGwEefgvvy778rjDKz/vrr+XY4/hC8mEhzTKP9vWgaBPG1+ckTzw8DuMTFbxwDlgzov/PB5/bYs68a7+lH7rrapj421Ne7mHFB/MdvnI6+De86xLatHJswbPgkE65Z9dm7y1m2mRMAQ79xbEkDE2L2PbqdYfeW2bOs8OT+0IaMCtdhfAzesbqRNIXH4tgimvcaeLcfVF/unifei/vtubNRdqP3jLhI92fuud9h2//xM2Nu3z0Lno1PPUy5hhMfxcy0YE1GeecWVf+DcovZCT4ySfuA9gl9gNCUJh855N6QTs4xw3nULT1jnzWLhvDAIy86IfgKo/wyMYd67sbhDxr1CPGHbpmr1+jX77rTtuGhjG55H558zKE25tEXvdYx46Mv7Ls5v9jIIZcb/aH2lw22h1zfkf4hjDKRGMLlPixavGS14Ekf37L5yA00cBK/pIX9uB1llUGNorR3HpYVBvEbnNzJaRz32o9zf7Otam3qP4BMnrfdevM8UyEbVKlk6FLoTrQnLOZ/udSmjDlrpT64FKJ1qeeSNgCW61x27R1+Nmwq+7stmzayblff7kYov0k73HX1uNkm1e2pF9+wU87r7WeylS1Txs5s3tgee+5V++mX371pg3EjettxRx7ozT4wm35d40p13T9uZB5h7e0PZvmZAuutV87P8mjZNLlw/ezkN11lVt62q71FqiALfXzzTTf2s6f5uFVUuKZBXaVSRTu92RFesA6CeBvx0YTzYr8tQcyhAX1Y/T3ci/evqFe//+a7H1v9fXbNWKeYF2nz4xo4UbyypVrqGwrXdETfm/mFT1c2/gRB4Ad63pv5pV19031+qRNLjrGpx8xQlm1z7zKRlu232dKNztcxW2H5hOsa1TcwBEhsDp7R7EhfpjMRP2HyDLHK5eJzT867/zRgBzvhIlG45qXPcrQ/3eAY18btlrvODbMKvnRiDoJb2BBJJlzTiEOsRUSPOx2pwguCoEjKShAEVtYNtiEAI3TZqn//OEGJTifnOHRUg30NdrMy+NGTwXeMd53t6saH2I5qsJ+fIYrghN1k0kBHHJENk0fHn9nTqIf+cfU05+J25RwT7OotdqL9wGFjXd32d74ogiDwpkjo+FBW8p2M8Qfhd3GCNbNBb+jV3q7udo5hZxfhBDbRqEjHB5986T9GlclOMZ0Z0oLoGQrXjQ/bxzDj8vhzr/kZpHse0dbGPDbJm6vKRFpYBYFIgRCA6Q9MtLz8+vuOTX7zEkEQGO/sSy84NXaTR1H2u++yvR9UGHZdJ/8OxlYyMzCZKUPdg98gCIwZ16QV4Z9jmXC8X27sfYHdPeZpP9Otc5/bbL96O7l2zBmuA1bTWLnGs813XnimeH/yDo8zLdQV2PFOXP1E2UGEnPPzPEO4pqMYxoswh2AbBPG3X7765sfV2q/MRCfuTr1vsTdnfGKDrurg6xxmwN138+Wx27CmHGCGY9rbH/lOMKa5+CYJ5kk+++o7kuId78IWWTLz4CN0f4JgpXCNqJbtWbMLFi426rioYE29d+6lN3hTF2GZWeZEJUyFtOs+yDIlWDsU3iQZtt0ZhCJtHCMNRzfcz64ccJchgg295iKjXcm9ghn1cxDEW25feeN9Yxn6Yc065fvIOunB8cwmE645F6eDwSW9bjUmn0wef5O99+Ld1rXdqXb9LQ/YtUNH2zLXtkolXMeZjjCsihXKWyvX10Hs43nC9F/X9i386fNd2WBmopl582YDb3vQam2+iTHI7D1k6A/l4Pgj6/vVLOVTzMaf6u4nA3SNDtkrQ6nIH2wQBEXSpiQVmNOstkFli0484DgDGBed08x+/vV3e8cNAHEsU45yi011BizPOe1ob6Kx53V3WnNXt9arW8coK5yjHUU7ktVpmMo63ukKmUpTYrgH7lPXGPAaPGK8NzExqE8H23v3Haz9mSfY1EdvMVbVJV5T2N+8m1lZSTiIxdwTJq7AgWOJrly5somHMvKbZ4jZ3EVh75yywrcKXpv+od3Ut6MNH9DFfpu/wE4+t5fRrgz7i6+uMhVCeckIhEigudSmjCRLuzEQWKNoTYFs0a6P1W3QxjtGUb6bM9fPTA2PNWnVPZ9d3hjSVWyCqFK5ojWov6dvpBdkf5eG2VU33JsxTh9+8pX1uXGk61ht6peoY4sSoRzTJAgXjQ/dx0aNf87PMgsruMfu7Wc7bLtlrKypkELB+oZeF/iZhnSumEX2o+ts0QmOzt5iRHn8Uy/b5R1brTYjL86EITRu6gT9Xp3ONJbRhsI1DWo6PlNcpx1BLs44o2HxHD36zFQ7zQn3UTEHXk+98Lq9NeNTP/DBPRzrBAtEYmYMdTrvFKOBHQ0rzn06ujAoaKlvtQ2rGHZWaRDEGfeawtq+di2jc4zIEpal8BqEsXA/7i3L3DCZw8fP+GBdKC4RDwLTr7//aR9/nrkBKMoEz9A9YyfaznW2ynf/d66ztSUTrmnMn+6EdNIYp/vw06/9l7HP6NjPzu50vR184kWGiRIGgVj6hXDNLFEG73DMyNi61mZWd8dt4kzGGsPKdlmhkbrcdTgpD3w4tu+g+4xnFsFgmBuYOumYQw1xi4TTuD3j5COdqFOFn7E7Pn7DypmO55yUV4eSPsRZ3s28G4iU7xk0OHBPO2i/Xa3HhS3zlSvOF9YRJ3b6mW2HoBeK5IkCG/EsWrTUCxcVK6zPz9gdgyeBG7Dt3bWNF16DILDDDtwjpXDNexzhOHaR2OVsmROM3Cbvf+rbG5yIHhWu991zJ8OuKcsmpz8z3MYO6+UGcWvlXRPXDu8h3oP3DulhdPoId7uttzDEYDoYyWZcs0qMmV74zYRjts3B++5qz7883Q8evzhukNFeotOMrWTEfNoQQRC498H23vRBnOlYvOQvJ6jd7W0yU4Yx5YNwzYo1yjGz3cuWXdlUnvf7H/aPG5Ta0IkKcaYhDGu5q1NoKyX70CF+KDuphGvOx+2CIDDabKc1beRn636y6r1HOlo4AWPBwiV2fc/zLVM8wvyUKRO4AcIyRt3y0y+/Gf+WueeKb6Fwz/jGDoOH/7iBuEyaeSD8keOeNQQ/3nekAxcEqwvXHMfxHsjErFnChsdXbjCZ9185V0Z5/1xy1a2GOZCWrq2JH+4VZWaDqpXtpGMOycgMa+LBIeJc1flMo80YFa4bHbK38SyxghHBGr+ZdFtsurHv21DPssrpyNMu9e1ryksYL+3qTuc1N1YNVFy/fHg41u3UNz/0E3JoI8CEOI9zwh6mfd5ygz3UMUHwGuIGngAAEABJREFUX9kZcucEo78WayISAuNbNLdce4mfpUo55p4NcWLTbjttYye17WXYT65//IV+tVE3N2BJmhOCKNRPyiz9DZ7bMCAmoBTFbPww/mRbnqmi6H+Uc4P+fyxYbMn6o7QlqUuiA3XJ0l6YYwtWDYRtu/Xmvq/BYPGNV11gPDvffv+z8c2RZq4eueiKobbXUefbvk3Ot49cP+Hay86N/d1cUD4YqD3eDXa84gY0SN92rh0T+ud9HQTxDoQRNqv1GDRmn3r1MqdbPPjYZEsUrn9zou2kqe/4QXj8xul4bkgHKzZ2O/xs33ZZvGSpj4K2FOZSsmnv/EmnXzCLHBOzO22/leEYmOx4djO7evB93lRhVLge/+QUn9a4//Bupl5hC4eibFPGnTeF9x+BlS3x/37n22P6/rNjBnobNDOnjEy5xQ9+811cin4wk27Wl98aM4oLsr87cshlfklE3GgQJS7uNdTqu44faaDCPrbRAf5DOAjqp3e81pix+oETtt/98PO4o88Lb7nrcI186BljaeiAK9rnCdaIFoxQ0mgLgpWdIIRrPhAz9O4Jxoed0mnI5kWUxg4VO+kJvTJLFiGShgANtqhwTeedzugHH38Veo91GzYCPvn8W6u12SZ59jCp0BH8SGvn85v7Djn37uPPvrFvXONgww2qxJoOAmPpWfQDPAxg0GifMPEVbwojW0t9SQuzdzHLMmeVjTaORV0QBNa0ySF+piaiRfRcnPu85LCNFpYXGo2Y/2AmQd9L21hUuKahxMsQISXONIRhkRYE6ztGP2Us612xIjzz3zaVcP2fj3j2ECi6XzPcL0Fn+Tnulmsvtgcfn2zXDhllCNcjBnY1GnEHHt/B6p9woWfV/cLTLO6OTq6UFZ5VysXxZ/VcNVNquYXCda+B99gp5/f2wlvD+nta+C8Igox+9OSTz2cbsw7pfBInaUSwZlZbo0P2Mmb/8Y741xUmlk72vPiMPHEb/3E46pUzL77O2vcYZAzOLVn6txcpkgnX89ygz+hHXvAz/oIg/o4FDfh+rnw+N+UtoyMeBP/FcVgBwjXPfRwsomFMf+9TO8txwUxJ9DgdHgQVhGtWkvDcc55lk+F95HdcjvAZbEK8uXH4Q8bqomjYdPhSCddRf5naP75xfd9G+WL2D/abKx+YR+Gjg13btzCEFUyUUKYyET/LnikX1948Oq/ziXDNIAZmVDAPwjOFyQVmqB/j2la0JTKRFt7/zN5GYEy1+omyc1OfC+3Hn3/z6Y07HT6vCxZ5s1yEHQQr22yJwnX9feoa7GjX4C9TLnwvMyO19SmN7aIrbjYGU7kvr7zxgdEJPvncq/wHkVmlcHGvW6yLa08hksadpk+daM+swqdffMMateiSbxZvEPwnPlLnJj7zcaeF8KIrA3iuQ8H6rOZH5a0Eo9xiiuLOGy/15jiC4L/6kDAK62i/YVOdOoawqL8ShWvaTSc2Odgece3MZW6wAX+ZdNvV3sJgM3PW18Y76NF7rrFlbkDjuNaXGbMCv3T1DOWcdkqrkxr5AdRMpOfVtz7wpoVoZ0fDp769sE1TY8IKgy1BEPh7M7hPB6MPF/Vb2H1446Lh8Gxgxu22ex/19WtFN3jc07UL+K4E/flpT95m2NPmXkavK+w+Az20k7A7HBX6qNOyPRs/19qUs75cuWKED9f+8edCmzb9o5S4MzmDl0EFBsLoq5ZzA2EkgvvDO4n3E2WZWb2vPn6LYUv6lcdu8c8Yzzh+43J8V+Tqm+53g9lv+yCT/Wl4UD3boGolW5jEREcy/3Efo45BxMdkC+8dBHTaLuddeoOfzIhZsTjjpM7iuRk8YpwN6n2hYbObFVmPPftavmi2q13LT17MtL3zxW7Af8q0Ga6ffrBRl4aJCILAWpzQwA5z/SC0FuofhOuxw66y5sc3CL3FtuXdQ7/5tpGPOh1joQ+3KNuUPgH6kxECBYrWGYmxBATKSDgPSZiVWpttbEVl/+qPPxfZ3WMn2qEH7GGJHzqkwXFuq2ONJSMsf37/4y+MkX3SH6Y9zi0vNATgH+fOs6denGZ0MhGs+WACjVjSQ3xBsLIT1KdrG1fxdrCd6+T/kAF+CuOWO/GcD6Htd0x7Y0nTBx9/aTTamzTcz15/Z6YfCbzl2kuMypQZ1wjaV17S2qVjq8JEm/TaULCOLt+kwUhD+qtvf/SCH7MBj2qwr/ERll6dz/QiPvct+hJIGvg6HGQm5IWXD/GzQsPLmU3AfqcsLfUlLtzmm9awmptUtwsuv8no+HAs0e24/f+87c7npkxPPBXLb8oKAy2NWnS2I07tYjffNcEQ4PbavY7/2CODHInC9VktmhiDDLEkIEkgu+28rfHhyVcLWE7FMzPYCRdbblHTwoZlkqDW+RCNIzqYpxx3mB3uGoZBEPhOMMu/GZhjhvUjT79slGUG41574jab/syIjHR0yEQulBWYjH1ssvV34haiyBWuk1eubFmS54Xrq7udY2WCMsas3SAI/PFs/fn1tz/zoqKuZ9BrsOsAYwLi9GZHWN/B99miRUu8qQM6HXmeY9jh2eXjgtRhUybc7J+NihVWzlyjfFDXYZaEdwEddMxpIfTH3aAnK4uXLDU6OjTsy6+3nl9ZxPGoQ6DkXg2582F77NlXk/qJ+l/X/U+cwMXzueP2W/mBg0QRi44gdf9X38yxt524va7xrOk62irYr5729kzjo7F9Lz3bkgkjCCmhcI2YQd24prDX5fyfCxcbAxfR8P/n6jHeQ7y36fxRZuncMPOdjhnpCsvUusS5pmuIp3fXsyxRuL4xYiqED+LuX29na31y4zUFV6jzdXes7WesMWuo2TGH2rNjVv/QIW0tRMimTghch8hSXkIdx7PT8ORO3lRNt2tuN2aL0oZr2fRwO61po7wZ10xCaNJwf3v4qSlJZwWmjCTNEwxUM2BxWLNL7KVp7/n3Tyhct7nkOnv6xdftweFX+ckZrzw61E+q+eile23EgK6eX5rRrJW3nVxblQHCFq7jzQfzmMXbsHlnP9uNmYhB8J9wPSQLs2ZJPAMslNMnnnvNdtlha18+g2Dl+4dZ6e0vG+zb4/iN2yH8YSoA0yMHHHuBYX7kOTdYyLNNm58yEs64PvSA3W329z/ZV9/8GHcyVgsvCAInpBxik1+b4WeIbli1smFK4Lgj61vNjatbqwv7Wde+w3wfZbWLYzyAuDj319+ThsjqmnJOFMSsQlIPMRxc5gYIbrz9IWOCDM8TQfIO5rmuv8+u3pxYaCpkues30UdjAhpb/MbtaBvVdfUbk6lYlUddQ51DPI2yPBs/F9qU5BvHM8HKaN9m2HwTYwUA9w070ZwPHX1G7Iwf5O5deCzuLf0P6hNMZI117V3KBRMRNnDPEAMdYXysIKGsMNAeHotzW778em7AZxdfdlmRnSxsZtQe5rQP+irLXFlP5ifOY1UrV3SDucvzBUnb4bF7r7WNqlX17YeHXb+IdjfvqiBYWQ/nu2Adf/Cc8LyE39DhA7OI0xe1bWYfrbKdHQ2aNgKTF0dlwN75f/Gs8IOBYd3y33Fz/dKyfrIOExZ/n7/An2KQO25dg/YtgvXbH8yyG3pd4CdLEllRtylJg1z8BMrEH2TJDhGRmEbgNTfd52eAktsgCIrM/hXLMhEFEIDbtjrWmJGU+KKjYucjjPfd3NMY3U/WYSUfhXEvudE2Xhzh0jMEYWY10Nmh8Ro2gqhgENkxFZKpZcfhUtJqG1SxrbfczK67dYwdctJF9sjEqa7BPMeIO5pOGm18QA0RoTAMEq9NJlhTfoaNfMwqV6zgR6ep7AcNfyivLCWGEffvIw/d25jBFpozIHzy3SJLS3158TJTlVkFvLx4ue+9+46WSrj+5ruf/Ght3GZsyDeOF/uB+9S1zWvW8MtEWebUptP1dk7nAa6s/GiffP6t7wD3XTXjevAd4/xyz/8aaoQSn4PJoa4RRn5v6XexrUm4xiZkEMTXMApzgvA5+7uf/QBPeCzcYj4F265PvfiGUcY5Dg8asexnwsGlqMsKA16PTHzF22w7/OC9/HL1aF4RYlkGHH22oucztb9zndr25oyP/WALcVDXdjrvFG8qit8IhMz8RkDgd5yO+ov6lZl9Z5x8ZB4T6vnb73/cPT/fWFS4PuaMHrbDdlta61P+mwkYZ3qWu473cUccaHcN6mZhp4s6JzEOhOv+l5/nG7hBEP/zwwxdPuo42w1MhuU22exLZicxA2Xp338nJjG23y+8/LZ998NcG+wGMaIzhBGPEfmjESFcD7uusyGGUjdGzxV2n7iuHHC3NXAiZCMn9IViFuEGATNzGhoz01s6YZT4g2DlfQmCIK9cWUz/KCeJ5YLOZ+8UwjVtBARrZpjFzSUxSwwqFdXqpyAIHOuyxjcJ+l9+rh2wV1275Z4Jtv8x7a1lh2uM9+MxjQ7IE66POXx/410Qd93Pe6XndXcZwj2d7sPdwKm5f0EQePMWF57d1Ob8/Kv/AKQ7nPd/EAQu/Znr1vAe4oOtT096wzOi7X3nDZc6cfRdo25j9SADdAgWPG9xt7V5hm66Y7yP67L+dxjtSXP/6u1ax9vFf/XND/0HyCjbCNaY2IHdaSc2cr7i/x/hbz83kLNzna38QDtmA0Y9/IId0vQiO+2Ca2yn7bYyZkzyrCMcs4S8zja14k9IkhDDCQ/MZu7eb4Rtu/Xm1rtrGz+w/tLDN9lVnc+yiqsGV5Ncvk6HeO/1H/qAvfPBZ/56nh/MBDARwh9I+BOUKZPR8lrODarzfQnKZP+ho72A380NRNV3oid1Gf0eJvBQvzFARL2YkMTYf9JOWr98ec8/KlzzLsz0bHyeC2wS8x5yo9UWvpuLqv8B3CAIrGXCgCD9tNbNG9s5XQb6j9phAg6zkUw4Oqflsf77TFybKUd9EgrXZ7kBwklT3/X9Rt5NmYozWbjhO5lBl2TCNe+JLbfYxPbefQcrWyb+ep9BOVYDf/vDzz55m2xczWa7Pqn/Efmzec2NrO+lZ/sBVL7pwMBmEKxsv0S8FWo3CAIr655nBp2++maOhf9II+8Z6nvMZDHRKjyXiS113MNPvezfvfQ1+AYUYjrHE+NDpC7vBh8Sj8f1mzgRrO8aO9GaH9fQt+fDsIMgG23KMDZts0Ug/qc8WykvgnioIC+/7g5D8AwbAXTaScr2tWvZnnW3s2zb3yVuXBCsfPGlEq6DILBwZA7/cbsNqlS2keOe87NT4UND6N8V/xriW8UK6/voqGCuHTLKd0wRSv3BGP8QPsv+CJJOw+knH2ETJ79hA6443yaOGuBf9IhxX62a6UE6x9/R148Gck3cjpfbV+7lQtkoV7aM72B0vXqY8aGaCo5JVMyhQRmWpbjTEQ0vCAJvZytRuM7WUl/S8pXjH84qoBOYquH44Sdf2QWX3WTl1ytnmOvg2kw4ysHgvhcay4xrVN/Ann1goCHcNHLCJOWFOCmvA3u1M2bCl3MNB45l2tOwX+sAABAASURBVCFmrUm4zlQaaBytt15Zb6YmWRy77Fjbli1fntHBFp5nRAsGxFhWWtRlhYZZmxZN8pYS87xicuGA4zrYcWde7gVaOmRXdTnL7nnwGd+oS8Yu7mN8KImP41xx/V354qSDxkzi92Z+Yac1zYxoQR3HR6YO3n+3vGxx36jnH37yZevS5zbPJazrunU4zTqd19y4l3kXxLjDc8qqJ8yghJ2usY9Ndv3TFavFctC+u2akXkGwZmYz9dqBbkCMvLK/txucSxSuMTfw49x5VmebLVdLX1wHXn3rA79UEzaE+ePc3/wS+YNOuND4UNkLr+RffrtVrZoWnVHFNYV1iG1X33S/rzNYVjxx9AD78psf/CzeMGyWRXPvfnI8giDeDl8YB1tWgPUaeLcxq3u5G+TgWOjCTjJmQEJTanTgn3HvBESesu49HvqNY8uzEq3jwjBpS7LfKcurn4iTOqxHx1Z2/S1jvNDH9yymPnaLnX1qE5voxNo7Rj/p7t0cgxGdZWZOcl1cjnrrNjewv0GVSobISbmIhh0EK4Xr1qtMhWCaIno+0/v77rmjE+8rGisXEDMQ3np1OtMwn7X9NrVsxKgnjPdV3Omg/8FH/RBAie+HH3+1a28e5Z8p4qKchnXekDsftlCwzkS5JT5cWLdts9UWds1N9znxaEcbfesV9ubE4dbtgtNs5mdfe1MuiLi8hxB3giDFs02AMbpyrp126omHu37Js74cR987iC1xD+LyLPPe++Lr7y38BsCRh+3jmVx1wz2+/R9mjzI+9c0PvMgSd11LHLRNxj42ydWvH1j47qXPesJZPa3+KsE6rMto/9JfI03/rljB5bG6+X8szJvcQMB13Ltu4aLFVnurzfw3Jnh+aFsR/6EH7J6x2fiETzy33/e4N+FG3RWWX97NicJ1JvsfpOWPAkwwffrFt0Zb8+E7+ti83/70wvVrb31kt157sV/VB8e4HANfEye9adynaJhhfcIKksYN9rVNN64ePZ2R/a/dID9tpw6X32SjJ7zg69HwnXz14PvymQqhPuzSZ5i9//FXdkyjA/1KnLgTxaDc1v/bNN9KuTk/zzP6JKwwRCT+9bc/jGc/7riThce7mf5F30H3+dXSL7/+vl89z6BGywuutsObd7a9Gp9nPOekL1kYhT02/48Fvh1AGSasNi2Osi9m/2CjHn5utXb22+99alttUdOqV6uK11gdzBGs3/5glnU460TXHhnjP/wYjYS2QzbalNE4tZ9ZAhKt14IvQmPXdi2s03mnGDMsaASEYmMQBNY0C/Z3SS6NVjqadAT5HbogCPyIbVS45oVEAyb0k6ktgjjCJ8L1MidmhQ2hUQ8/b5jg+Pvvf4wGHaOBN/Rq72evxp0WBGtEToQawj771KONmagIBX8uXOQbAY/cfY0dduAenPaO0X0asP5HzH9223lbCzsRI0Y9aQjWNGY7RUSbsEGJ37KukR1zEvwgAjMLwhcM4QdBfuGaFzAN+Ewu9SVeXBCsLKOIaMxEZDlcsoYjDUaWbyJy0Wjh2jgdLzwaG+EzRHlFuKZB+8TzrxmziYmbRkIYL50gXPg7G9utam1qoXB904hxxgg3bDIdNzPnDjtgD3voicmWrPGzeMlfVrZMGSuXoa9jU0+ceXF/w1bcwNvGWptO1xvHiqKs2Kp/2MREYORZYqXAqe372jMvvWn9Lz/PWO7af+gDvnNGmeFDetQtqy6NbZNsFgVMsP27UbUNrOnZVxr27phdxlLt+8Y9Z3wgp4YbjIktEZGA/lyw2A0qreddePjWex4xZvFS12LeoIsTrnlXUtc1P65B7II1z3Iy4S/sdBU04zpMc1xbBOvu/YYbgzr77LlTXrDcI4RrGtCnX9jP7hv/nHeXXHWLndvqOIvOgM67KKYdntGpTiBZuGiJPfn8NDv53F7eFvGkcTdZn0vb2F0PPG2/u45ITNGtFgzvfp6NFf+usD5d27i4KxjfsDih8UHG8xReQN1KeXn5jffd8ZUf2wvPxbmtWKG8tWp2RN6HyJYnEa4RRO8e+7SFzxszjMvGLFhTnyWr48grAwzZWv1EfDjE/JAFdVgPJ1xf2vd2Y+Ue6TmqwX7GNwwQJDEzw+o9uHBtnI6VIYg2bVsdk1dXMNBCe2DPI9oaM0Upy7TvuE+0rUh7nGkoKCxmG/IBsBGjnzBm4bVteYyfCMDs9Evbn2qD+1wYe/t2wcLFbgBwmLFK5bqe5/uPqPLBLfoC4dJr0hzWeSznZ4Z1JgVr4sOFdds2Trjm3tCuov3Ax/Vu6HWBYSd5yoQhsQ8Q8h5mBijtV9KRzDGgsq+rhxFOSGcyP3Ede2byG7bkr7+8fd2Bw8b6AX3i5N3MtwuObX1ZnsCEMMc3Jy53zxjlKa40EA4DKWd0vNawu24W+EEN3r30WXfY7n/23Zy5TmRbZtF/tH9ZMUF6o8cLu88s0DMuutYOOrGjnXfpjTb51Xf9Bx733LWOvfnuJ74vhqmuULiutdnGfqAq7tn4lJVQsB5wZTvbuc7WXmDjfb106V+rzbimjU19080Nssfd/wjT0jANE0zb1a5lt/a/xM/gZcvvwt6T6PXLXF+9/y2jXTv7XuN7F/2GjDKE2NAP9Qn1/P3jnrOxKQb/Q7+F2cJkzKOTrG3XgX4FS6OD97YnXD/suDMvN1bmcg96dz0rz1RIWB9GzW4WJv5U1/I80F+n3YaO8M13PxsfwWRA9/SO/bxIfFizS4wPl6LJpAqnsMfpb8GIcHg3I1yzWuCG2x+02/p38uXjpYeH2IeT7zVMZGESljYW/jPtiKdf97bGtx4YKGUiC+9wTNGOf+plu+Tck422XdzpmPD0y4ZgzTsGc6qdnC7H4CBCfhgX8WajTRnGp23mCUi0XjPjPB9UYLw0giCwsBFAZ7z/0NG+gRIuR3suQ/Z3SQiNdWyC8jGLI07tasPvf8KPRnIOFwQrRcG2rY61i64YalSsn3/1Padid+9++JkhFBNwEAR2Vosmhm2l92d+ySE/I50RfITro0/v4UWnGzIkWBPhTttvZaHwmEy4pjGHv2w6XvoI11TgFdcvb5e0PTmvIxamg7KUCTGH8Hl5MCMKkSR86XE8CFYK1zSob7v3McPfMRla6ku8Bc0qSBSuW7Trax2vuNky0WAk774R5J6dJq26WaPmXfJGZ2m4R8sP6cZ/UTuE66HXXGxTXn/PXpz6jmVyZg5mUV6b/pHPcrNjDzNm8Pa8/q58ItLiJUttlBPdjjh0b9/A9J5j/IOYQ+Pn8IPq2eP3XmvM9GNQ5ZXX3/exUA8jADI7JtNlxUe46g/2vRmAO7jpRXZquz6+E37/0J7e5jfmMUhXJgcIP//6e2vh4kVEWpWkvA2iEnXrVV3Oso8//8Z1MCbZEYfu422+brf1Fnn+4t6psdEGNnfe7zbn51/zgr6obTNjVQKmqxoftq9V27CqEyrXzzsf5w5lJZXwRzxh/Ytwfb8bQOVdREeac3E7OsCIERec1dS9B7+2IXeOd+LA8rxoKB9dzm9h/Xqc6zvvvCsxLdD4sH3y/MS1Qx03/qkpvmOOcPX+x1/a/sdeYLwLmKXJQEbNjavZfk7QQXhkQCauuBPDYXkoA8XUK3w4j/M8J+999LlvP9BemjT1Xb/sdtNNNrLjjjzQqlSqgLdYHfX5/9k7D8AoijYMv0uvAipFUYqASFHpTRAIvSO9iBTpvXdIqAqBEHrvSO9SpArSFBCQJogo6E+R3muC/7wT9ryEJASyeyR3H7q5uy1Tnp2dnXnnm2/YoaLIle6dVGDbZP6KzZixcB0CQwjXH6kB5ydPnqj9/90/KxPDchteHce4aATA6bW/nvqLP23b9h06gSqN+yBP2ebIWbqp9vVLkZjlsocS1Uzh2kwAyzFFH4q05j4rP3mf7t57AIqxvC/L1/2gBuP6IH68uJj4dWdcvHQdc9T7xzAMvXgdB3Xjq4EIq9MQ3tovFGQTJYivLTbLFs8Hw7DXepjl9o+z55E6VXIlAPzXbUucKD5ihjB2YJ1n18wAllvWt+x/0ALTZM4ywXeys3BtHoupBntYx5i/rfo0DAOB6hntN2wGwhKMKAhz8Gftlh8R0pLUqnSwvK7asAvM+7A+LbSbFud+Id/NFJb6dmyAld/twsBRs8F0zfLvqQfvrEoHwzl/8Yoe3OCaAHSrw3JK4YbH2M+gcO2cNu63c6OlKt3HfPjBe3rNHvr7pci3afs+vdAg3wN8N1C4HjN9mZ6VZbU1Pu9PaII123Jj1AA7Z76a5dcVbUrDMPQzy/pzaARcMMHGfywbJYvkRo5sGfUMCd6P0nW7gYuV0uqZUbM+YR+WvHbuDeobcL+VG9snK9bvwMxRPdHyi8q6rHDRvi9qlkbPIVPAQQRn4Zpitt2CtZk/lo2OzWrqdctGTl6EL+tWCCYSH9s2C/vWTwLTZ15jxSfL7fqtP6F4jY7IW64FcpdpjqFjvtF6D9/Ng5RQzDrNuR5mvIZhqPL13zsCFv+jEQTbdKx7zaBpdLdoso+Ot3Kj3jrNB46c0m0sitrmeVZ8kgsHRiuULIhxQzrq2SqGQaPRwtqgNKRwnS1zem28mChBPCuilzBeMQH7SvYrzpgronduBHDkjTOr6lcvhfffe8e26LmQBa36WEFOG9ENB5RwzEbAYKcRUsMwwKnPaVKn0Iv6sUKxOkEc6Rw5abESUQaoinSerkjZ2GhQvTTos5nCFuOkEMjOYf5cWUBRhQ047rdrY3zOwiPjoUWOaXFtp3BNq/awplmNGdwex387i6Vrf9BCAtNl50ZhhhU7GxwcKecoaGjCNcsSO8YXL11D0iSJkC1zuogmK0Ln8QXDBmPxCFgVsHHAjg/vFf0NsoxHKJIXOInC0tDR8/BVr2aqoTEZzT6vqKeJszxD/cuuXnDO5YfpV7tf+f8nfj+rXQjY8Qwx772/mqYFcS4aN9h/Dthg5f3goEbyN5KgauM+6DV0KnwnLESdlgORKFEC1WEvZTkXWsxxGiCF1sZ1yulGEOuMgrmz4f7DR474mDa7y4ojsqdf6HKCIvrXvZtj82I/0KqOnU8e5vMWU4kH5m/us2qjcENr4ozpUqN2Za9Q1y1gXDGVOMDGLN8L34zvi1qViunOMY9ZtVHI8RkxSwt9fDY4I4EdPYqhLEeMhx0hbkwz3adw8CF1qjd5yNKNAsrzhD9GyDrQt39L0K3Bn39fBDvS3G/l9vuf57QgzDJZ77MS4MKBtPgIKVzzHrGTTr+Hvv1aIYO6p1amwwyLayaMnb5cz3LiPVo6dSB2rhqrXRhwLQnDCBLZaKHOwQU+Y+a1Vn2yfLC+ZblgXW5aSlFAGq7qEQ5kxokdG2u37AEtE5t3G4EZC9aibtWSlluqsj1CoY2D+N6+M7U7H+aTbZOQwjXLLa0UKbTYMQsronUc38dlbVzokPnfuH0/6Faoa8s6OLxlBui2hfVNvdYDQbcbrE96hCJc81oBt1zJAAAQAElEQVSrNwoXfKY5Q4WzfBp3GqYtNP0mLwHFwEHdm2gL4yZ1yzn891udBjM8ijMsK2G1F/m81KnipQaSf4FpjW9ea8cn2/AUjjj4RotHivpcM2DHT0e0/+hsxRopYaMlytXvDoo/FIlZ11idllN/nMPlqzfx4OFDfNaknxa3aLjCZ918J1O87TZoYjBXVVanwwyP5ZMDtQNGzkZowjXT9VbKZLqeffDov/YDLPrH8Hk/OBiaJHECHapzv3DoU4Mm3ouyanBjyRQf/Yx1blEL7MvpCyz8w3tPFxtVyxZ2DKRcvnoDLCuLv90GrvPjSuHaLBNsV3LWHsXprUv8wLbdWylfx4MHQfekaMGPwcXssr5vbf+DaA3DUO3ImLh247b26c17RgF20w8/g30j3i+of2Za7ep/MF721yk0styyXqVu8F7at7Rhxo6VY9E4FBdMfNZV8mz7v0CurODaU5eu3FAD6l9i4wJfPVhbWYmPfCcfPn5ai9pcEJkDqXYkhP1m+vFmW8UMn89M49rl9CyW8bNWgII62xH0HV1RCZZsa/Gemefb+cl4KFx/UbOMtgAP671gVRpYVlhGOYuIrir5bl4wsT+OnPgDHDTk4BTLUHh1n1VpYXuArtS48Ttn0cSJEwtXr90KFgX1n5HerXU7gunld+4LdlIkf1y5dhNs83PQYtfeI+B7zgzSMAyw3usYwuKa965+tVKWtynNeOXTtQRiuDY694uNL7zhfVvgl+O/47fTf+PjrBm0BZ7VOaUoQmsLhlumWF6cPP0X6JNrim9XLJk6AId/PY0StTprYYmCk2EY2l8YO+y8xuqNjXYuhsNR9CSJE6Lal/1U5/NHUATlSBwtp8w4KQQOVSIhrzH3WfHJziUFlCJV22GA32x1D05ryzbG5yw8Mi6+/NgY8Z+6DBReuM/KLSAC06xGeLcKd3Ewq9LD6dgUaGitzE4gywAbZ6EJ15zeT44ULqyK3zkcwzB0gzGiVgV8wdDCukSRXLD63wE18ksrF77oC+bJphv1lUoVAuNkg8iMzyw/Px/+DaZPa/PYq/osXTQv/GyadkwXHBRIJg3rgu6t6yhhILuedkULSLoNGN63JWgRyueXZYXTkvt1bKC5Wc0jfrw4aNekGn4+fBIUPAMDn4CN/M07fsaq73aCz/ugUXOwTA3+0FcvrTJK2FBWwspX8jeS6vqdwop5zumz58E01VViJRmZ+634JO9Jc1ahx+DJoDVs3ape4Cyark+n7TvHwYbulh0HtL895/1Wfuc7h6IRLcvYqI4ZIwY6qUYi4+DUzl9PnVUdnie6c9jZZzxY/1DcMYwgkZTnWbFFVPgz4+KzXE4JgHZ1dDKkexsz/XuoZyebjjJD2rfDFK71CTb/ochF6z7W+bxPsdSAButgdgQZNcvK1l0HMUYJ27TEtnqwheFrMWfZRkanN3Y4KVzzGb5+45Ze0JTuSTiLZMMCX2xcOAJ9Olhfr1A07ztsBmLEMLBFDTZtWTIKxQrmwNR5a/RAIDuFtObt6D0OdKvDcku3C+yg6oRb+IcCBB+FiNZxiRPF14OD7ChamAwdFLksXLkFvAe0yGTZoJsa3/6tUKNCUfQbNl0/v6WL5gEFForHHJjXF1v8hwM8w8bNxxNV3xuGAbYtOfDGsrFFiVxsVxqGoQf8j/z6B+wYBHPOUoHcWZE3xwfBfJk6H+d3tiGuXr+Jw8f/4M9IbKFfyjYJyyVnP1GkYDvObEPSfykHVA5tnq6ng+9UA1Lr5n2NaSO7o3LpT0IP0IK9eXNkBmd6FS+UC5vU88pF0Oq1GYwG7YYqDqe1FTjr2KyZ0uHYyTMWxPj8IFg+2aYLKVyzDqKhRo/BU9DqiypgX+35oUX8DIbPOo73yM+nNdKkTum4mHE5i8McNKPg4jjBpi+stzgLwjAM3RdiG6pSw97YpAanJs5eqQYHF2rLRKaN74iYaqDdpqQ4gmX7mmXCHMy4d/8hyhTLp+t6tjvNE+2o48ywnctI824j1QDHz8EEa95LDrDSVYhd/Q/e/3EzVqj7EqCTxTSxXjXbcmw7kosrXDDpBDz9w3irl/9Uu8tinXPw6O/4+/xlzPLvBRpqtOzph0Wrv9cCYUzVjnh6maUfd+7eQ9y4cZ4J0zAM9f4riX8uX9czsXgC2/u8RyxX/G3VxryzDPC9GFqYjK/jU4trugqxU7jmc8wB5RHqXcznmdzpWnT6yG6gix/22e7df6D9m7Pum7FwvW2DhIybRpDL1m7Xxirskz1+HKjdtvBdzEExbnQJGBo3q/bxHUj3rzQK5cAXBwFDhm0YwYVrzjgMeY78jt4ERLS24P6x8ciKnw+3BcE9EwRFkfZ9x2jfgny5ssFOH0uL1YuEFci23Qf1C+WbcX31Jy1Ezv7vH73w4DOBRXJHgBJnzSAoWKd8M5lurM0eE9QwatnDD0VVh3Cu6qxyiql5rh2fl69c15bmJQrn1p2YfsNnoECFVqAv13MXLoPTsCfOXoWVSuxi/Oyc+6nGJYUX/rZyi6Uaf1FhmhXzxKk7vdvX150LTvOicMQOjylcT5yzGnxB8/74jJwJjnCzTPFaK7df1Ag94zYbZ6/aqoB+8tK+kwqT5q7WvoeZV7pcIAf62qNIu/fgCfAFzA4IxVk+2zzvVW+GYSjx39rqms/y+Fkr9TTszs1rahGaosSvSnhcsGILNmzbi9otBugGPleZZ5nixu+GYcDKf2wA8rnlJxtpfkqgZ2dw7Izl6DpoImj12KJBZdAFU6ASNrio0/Ubt5+1VrIyUeGExTSwXh4wcpa2fGjVsDKKF8oRzhUvfoiCtbnQCLmz3jIMA6EJ13wvcEbD6GlLLe+ch0w5n42xg9vDFK5pMTZmUDvkyJYJ9PP9UYkm2govZ/aMYOeY78aQYUT2d/wXGNygO4iaFYupTvLnuoxHNm7n63mPaK28bc8hFXYs50OIasI1y8jjxwFYs3kPqjftr32f+6n3IcWLYAm34Ac7ueNmLtfTvc+e+8cRYqlP82Bor6bYd+gkaM3qOGDTlwDVXmEdx8WDureuq2cesPNZtVxhPbgSqI6zvqGbH/q9nafaLbQmGzukveWWOXwXNu3qq9sjjNMvAnUc7xeFQjvw0BDi4aPH+CBj2mDBkw8F+ySvJcLWnQf1Mb7D6W7AjsHtnXuPgFN6//jrAo79FiR0Goah0pUG+XJ+AFPMYvllW47nV69YVKfLrj9kEJ5AEajeQVvUQGrdqiWQJVMay5PBskJLc9bpjeuUhynu5cyeSa+TwsGPjOlSa5HYMAztposDqmzH2dUPYSY5uMWBfgoYceLEQpcWtdClZW29ENeXXXxRtUlf7PjxF9CSuGjB/9aO4bV2biyfFG8GjJyt2iv79eAGBeuV63eC7yq6QrIyfpZFCtYjJi7U94YDgiHDdxauK33RG6yH+L4IeV5kf1NkoysotukzqDIxYuIiLS7VbzMIC1dt1fnn+hIUIU/+/pdu7zFtfCeynEc2/ohcz3ichWsKuBG5zspzzDLyy/HfwRnBZMDweS9ZVpxni3G/KzamqUcoM1nIK0umtPq5tjIdrLe27jyARh2/xhE1+GeGXTBPNty4dUe1CZbomdIjVbsg90fvg0YhO1aMRe3Kxc1Tbflkud2z/6jul4aMIHHCBJoD0x7ymBW/ef+37T6EUrW74Cs1cMoFdsMKl/eF74VSRfKAs07COi+y+9kvTfpaQnBQ0Dks9kc54P2P0j5+PnxKH2IZsmsNHR2B+sOyaLZXpi9Yh4cPH2HBis3oOnAiyn/eE8Wqd0TBiq1B/Yf1kbrE0v8DVDtt9LRlKOeVD60aVgE5MIJA9R6mYZVzvWoYBmhxzdmO2d63fuYG45Xt1RGIEV7Ucuz5BCh40cr3vTRv6yloz7/ixc6gMNLFZwIa1iqjH0TDMLSFaDmv/Dh07LT2j7bjp8PgVGN2Pvt2bIAfVowBLWdeLKbnn01LVfoAnrFwnX65UKil1d23m3arNEGPXNOfKSuzk7//jXlLNz4/0Jc4gxUVKyn6SuLiFAePndJWVKtmDta+pkoXzYuZi75Dix4j9YuYVpBk9BJRvdAlUWGalZlgVur9O30BTs9xFq4nft1Ji5H0j1W5YW98mv9jNKhRRt0/w7zUkk9nyykGWPqptZarrQpYVjitaawSPyme+fZrqTp6MdHJZzz27D+Gr8Z8gxzZMuLoyTPaTUi/4dPxZefhegFLptudNz6/jWqXxb0HD8Hp+exIDPKfAy6qSv9kfkpU6d6mLhZ/+z3u3X9oGwoK1Z1VHcfBrnffTqHjMRtJ9OmW4o2k6Na6DsoUywuKBLQM5FRxLrBhGNaWWx15BP5QGDjz10WoBwd0vVCmWD711bq0sH4zBWvffq20dRQ7pVO/WYML/1xVHP6zuD5w5DdQ3OAAnbnIECz8x0Yo493x0xFQ5GLQIYXr+PHigsL6zxumajcUXHyLg4QUOXi+VRvfh5xFQj5mGYnI4AbFNsOw7v4wPxSWOFWTVi/DnRYL5TFzcxaux89coYVS85iVn6zL/CYvBrk4h8s2gWlxzUFuDnxkSv8OmtWvqMrtACW4BRcsna+NzHcO4G5aOFK9W0qjXZ/Rqn790xEchWvvLg1BN0C0JnIcsOFLyDqOzxA7qfsOnQCnp7PcMloKfqxjFk7yVs9WCS1uc79VG8sKp7V6fZITFIsYbhYlSrCOfVV1HOuwe/cf4O69+0xOsI3vyuIqrfS7HuyADT84ILl61lDQdYApOjpHwzqHdQ+tebl4Ha3PTMHJ+bzIfCeHUVOWqA54D/QcOgUcvDUFChqIOFvWsU3BNvDKDbv0zAqyikzcIa9lfctno0KJAqAPb7bl2Z5jvHy+TeHadBXC8hwyDKt+37l7XwugFD/NeJge+jOlaMJBBNYry6cNxI6VY7SPcYpfnNVgVRoiGg7bmKZw3aqnHyhYT/iqI9hPiGgYETmPHChY871DN0/83W3QJIchhHMYyV9Pqmd1fJIvO3qothTLlPPxyH5nWWHbiX7vY8aMCQ42ccbXtxt367b9MnVfOGOA8fCesP43jIi9B3mNlRvz7irhmpaqjZQw+6FXY+2vn+0G5oVlhMZMdNuy6Yf9wQY37CgrjNPcDMNAjFAslZmm0IRrWPyPZYXllEY7dat6BRNEOXOwUqlC+EENOLF+ZbvFjD6mSrNhWFtm+Mxw5jgNCljHlCueT6+bQ1ddPGbGzU/eS7ovSZk8GX9avm364Wcl1i/GhK87Y/WsIbqfEV4kLMdtm3wGWnyHd15kjrHdcvP2PUd72zksDkxyRv9vf/ztvNv2787tlfOqD0J3JZwhR3/ex7bNArdJwzpbPtjPjF2/cRsU6surd6JhBM24ohU11+IoXKUdarfwAS2xeS43wzB0v97qdzPDlu3VEhDROpL8OT0wf84s6KPEYlZmkQwu2OV80bLDxwfPq3CuYKJIRjWiniNbBtCXpilqkJImDAAAEABJREFUmBezwjO/W/lJMWuGX3ewkq/RzBu71cho6lTJUShvdiz9druOisIt3ZUM6dkU9aqV1Pus/MNGuzldnlZIIcWTN5K9phdxWDixPyicjPRuowWvfOoeWZmO0MLifar+iqZZnT5zDtyc08WFr06owYPYsWLBFK754qFvst2rx2P3t+O1b7nYsWI6Xxbp77SECmk5xUDDapwxfqYrNGsVXveyGzt57Fxu2XkANSsV08HwHvk6Cdfd29TDV72bad/v9DfIl/Dq2UNBFyH6Ajf8QwHl63Hz9XQydv5pDcvFecp/3gOpUrwOWhLwnjDrtLaLoRoA/G7HZgrWFKDZkDYMQ5djluUsStRh2rjw4KxF620T/F42X2y0enduCA4MvWwYoV3Hcsv88vkd1qelQ7BmR4vvBFrdGYahxDUv0FVIi+5+GDN9GewQrAMCA0ELMS58NmrKYhSo2Bp1Wg3EsrU/aGsHWrGZFtfsbLDc8DlmRye0vEV2HxezpQuHIf5ztUDLMvIqhD8+Q6YIuSqUxUKd85kh7duY8FUn0PrDLi70Bblt9yGYXJzjp3D9dZ/mmLtsk3bbwmmmHPS2ekCB958Wf2u3/Ai+h+lvkG65GtQoHapwTd+Uvxz7Xd9H5/Ra8Z2iI4VGDug413FDRs/T1ocbtu0D02YY1nbGQ0u7c1nhQA7LANPHjeXXlXXcL8dP4+TpoM5u6lRv6meYA168d6Glna7eQttv5T4OKHFj+8AUHTcpQcmMI0aMGNh78FewzM4b10fP7DOPWfFJMadDv3HaT3a/jl/g3IUrGDJ6Llj3sT7j+9AUrim0sE2xdddBbaTBsmVFGpzD+HbTHl3n16nq5ZhdZbZ7azTrrzvnpnBN1z92zVjgjKuazX1w9MQZnR4OHjCdbENRZOo7bBo4iMBZNhSGWZ/QBR/f5YZh/3PFtITczDJ05dotVedaL1gzvt9VW3vj9n3w82kN1q1+qo/xOCAAFARZlniOuT3591/QxULv9p9bPhDGuChYOy9Ix/LaqFZZrJgxGBTWEiWMr5PyOCAQ0+evU2nJpOtmvfMV/GH6KFzb6T6GbcoO/caCg2404PooSwb4TligDa2YZbOMDBg5G3YPbji7a+PaQdzoO5rpcN6YJgrXfpOX6AEz52NWfOf991ODcqmU8MtZRTSyYDuN9T770YyDvF5LnAB3QhnE5HGrNg4QclY0Z4R7+87U60tcu3kbg7t/iTlLNuKrsd/oNbIYH12d0pCGgzEU1rnPyo36CdfRoPHbhx+kdwRNAdR/6tJQB6IcJ1n4hfeBIqz5bk6f5i1VDu7oxUrDisYV7+aQcZvtFVbvHLAMDHwS8hRbfhuGoXkcPHIKtKwerNr/fMYb1iqjjWSyZU6PWYs32BK3BBq1CIhoHcn7QXHr8+qlwJdxJIMKdjnFCVpYf1auiG648gXLRop5kmEYqhNcRL+IaT1k7rf606xMG6lRa04nyqDE8nlj++gpGlzA5/N2Q8BGwcnTfzmmG7HxWrFUQbBTZGV6+OKdMne19rdLqz5aDTD8kMI108z9nFZKq5C6VUtY3mBk+KFtr2KaFfO7XY2Q04c1OxpM1ybV6WMDyLd/S0we3hn0Q2gK14ZhgJ1Eq8ss4+W01Uzp30FYllNm48y0uOY1dmx8mYbsXLL87PjpCOLFiwsK17Swnr3kO5c1TOzI58uEueq7XVi4coue2kXrana8KZy8l/ZtzYJT5hku65sFK7agUqlCStyIy12WbuxcsNPFTm7dql56UI51TNs+Y5S4dkXHxUaSn08b0KqJ95P3VR9w4z8UtViPXLh0FWs278b9B49AwZrWJpw9Qas7Zt8wgoTrgd0aw39gO8utZvm8GDDQqHZZvPN2Cm1VuGPFGDSvXxHstJeu0xWte/mDlpJT5q0BBRTWRUybXRvFEVpzUIwcohquTCPLiP/Attp9FsX+QJsb0rwftISkNRIXlOL9opATcrFQZwZpUqfQdbDzPiu/h8bFOXyKBCneSKoa/nedd1v6/eKla5ixYB3os5odGpYFwzBAcTg04bpEkVx6QNnq9xDF4C4DJyhxMwU+VIIF1D+zjuO0W/r5Hund2nILTBXNM/+bZSX9u6nUc1ROt+XYIf6yy3D9bPMCll9X1HGcodF90CQ0VXFzIJBltmfbeupdsFXP1OD9Ynq4XbtxG3R/EZrfSB63a2P7IKRwzfLRpWUt7duUbUsr4+Y7ju+g9zO8owavm+s6jm7BaN1H6y7GxfhN4ZoLEtspWPMe/HL8dxTJ/5GeEcb4WceZs24+yJAGrXqNcgjXNECgOxueZ+XGMkrxiO8bPyXOcuaEM/sSRXKDz1TXlrVd8hy9SN5YhpZOHWBbujKp9u20kd1U/ZJSJ4tt6bCEa5adfDk/sLz/YZZbZ8Ga9d6EWSt1G04n7OkfCn8d+o0Bfc6yLjYM4+mRV/NBJpzVUtQG9zFmm7J+tZL4Qg2WUpilf/wHDx8H48IywnrGzsENwzDw5N8n6Ddshmov7dew/33yrxbdKNzqHU5/mCa7XDD9+PNxNRh3WQ9kmM8x6xq+p8vW66777jS+4AK4bGsHBAY6pcy6ryy3fRWPGDGMZ9aXeD/Du6DP5iMn/kTBSq3B2cAN2g1Fw5plQBeWQamw9u+u/UfxUdaMjmeZobPua68GPcjBe8SsYOWGx+3a/jh7Ad0GTtQu1bi2BN85dPXDd7VznHSjxfXTPsmT3Xm3Zd9pwMT7FFaArmqvOMfPAQsO+PdXgxy0rD5+6iwWTfIGZ63xGfcqnFMNdNxzvkS+uykBEa2j4I2lkNR32HTtEqRpvQrgdJ1rN24hZAVK/67sONNqyI5ssLHMRtCAkbNAS9UM6d7W0bCTzqmL678Zrl8mrVUjmiI7p5A/ePhIn2P1H6bFbLj79mulLT8YF+PkSyZN6pTad5uz1Z/VaYhIeKxcKfK5apoVrbjmLt2I2pW9UK38p+jsMx5jZyyHKVhzUIUiFzsfFK57D52qKvdnpwNHJG/PO4dpoc/O73cf1KI4G2FsGA4YORsU0c3rub+H6iwzjWxom/ut+gxUohUFTufOJcsPRa4V63eAi62ww+7rZHEd3kvaqnRFlXDy58qCvDmyIOlriZ4RrtlgoUDKOqj74Ml4X3Xmy3rltyXpnBHyOCBA+8MMUPeMgjXjpJDi3KHJoi2u24ENOTZ2bUlMFAuUz+3YIR3AZ7tig54IKVg/puWUEggpRNECMbNq8FuZBT6X7OgeOva7FifoD//AkVOYOGcVihT4WA2EdcFP6yaBM2o4eBgndixcvX4LvI9WpiO0sEITaFlG/Fw0uBH/Bf1pu6puCY2LyY+deZahlMmTmbss/0z+ZlLkzJ5JvYeKgAtOsUPMjrFhBBeuacHELcCGjjHLLQVrPg/s9FEg4Xvpl+OnQZGNgxvJkibG9AVrwfaD5RBCBBj/aVlhx5MDKn+fvwR2iMuXyI96n/03E43l139gO1vruNeTvQZaJOXN8QH0oPHRU0rUfw8929UDXdwwXWy30LVAs66+KFYoBzgQEyJLtv9k+8BsN7Cc9FVtYYr/dkRMy+k/zp5H6lTJlUj8X3cocaL4aoDhvxloLEcsT306NrDNwto5f6Zgzn30x35ftav9B7TD4J5NwUHCr8fPBy0kOZuB7XGeZ+VGC2rOIOXgaWjhsp1bpWxhPZgcYMNzHFqcr3JfoGqf0Bfw6TPntEsJtl2c0xOecO18nlXfzXKbMV1qXW7Neu/u/QfaKIPxsHxw4KFWiwHI83FmvZYA27085q4b78tj1aak8Gm2Ra5eU+0S1V5i+4Tr1VC8Z/5Zz9g1uMH7Q2Ha2RXWhm37QKMert2St1xLZCvWSG/8zn1MH9Nlx/brqTO6DLAvyPD5Xub7mc95CTV4zFlJbH9XLvOJPi9mjP/qQp5vxRag6onxalCF9VlY60tkSJca88f31S5OOev1+2X+eoaNYdgz0HLp8nWlJbzmyB6fox5Dpqg2zKdYNWsIbt6+o9+NvJeOk2z4YhhBBih1qpZAD9Xv+lWJshTqG9QsjSadhyvtZyY48LBg5Ra06eWPJnUr2LJm2Y2bdzBs3HwVX/hiPdsrbG9zVpLdbEzclUoXwvbl/tizZgLow5t6Bo89Vs/21p0HQZcp/C2bexOwvmZyb14uyR0bhBO+6ghOJzYMQ1WqSUIVrvmCrl+9FLiaqh0J+2b5JhxUosXCid6gSG2+8My4OGLL0S9ORXv/vXfxvwuXcePWHfOwZZ+BqsHIDl940+UZmbNwTfGa+6zemBa+8MMLt/gnOeGKaVbsjHOKOqdtmveCwvWMheu1BRuFLzOdvHcUrof2bmbL4nVmWrxU3jn6acbLhqHZAQ0pXNtlVRBDjeKzI3fx0lXtAoMvNQrWbKwO6NrI4XOLDXgK17RAdF4szEz7i3xGp3Pff+8dVQbigRa0qVK8HqpwTVch76V9C+yos8NuZf64ABin5VFkm/hVJ/x8+CS+7DwMoQnW7CRyowhFcdYw7Gm8Wpm/lwmLdQoX9GvbezQmzF6lXSbw+aVwTWsd3rP48eLqoM3yTL+8LMN6p4V/2HDvPGA8rt24DdPHOAU/U7j2n7pEp4/lgg1F784NdSejW6s6tsw48h4x8xlrF5Yd0+J65KRFWkhgQ9pu4c/EzLjYaKc1DgcJuw6aqMWkFg0qg4PJfE9Q8Kf4ZE7RNq+14nP7nl9QuWFvzFu2Cc6dBpPL4V9P6wFMDiZzdgmFP7um2Jr5YXuk5Kd59L0Y2L1JqMJ1ea8C4DTYOlW9lNjynyhohhGZT5bbkII1B7T5TB07eUani+XYf2BbmINzrhCuncvKZ036goJ1aBaPdtdxnHnG9zPbSV/Wq+AQrimsrJw5BK8rMZ/uU5au3Q5O4Q8tjZG5Py9yLdsNHZpVB/1902oyvhL/X+T6553L55P16IdZ3sMI71Yw/UNTVOLAHJ+ZIlXbgcISRaVy9btjzabdYNuGZeh54b/sccMwVOc7I9Zt/clR59HfOi2aKYwGKuHn5u27KFssPzhY+LLxhHcd6xOKJlkzh72IFdtSnMV45n8X8cfZC+EF5xbHNu/Yj26DJqFOq0Gg9edhNQjGd7Zz5nh/TIvrEeqdFKDulfNxK76zjuNMFrptM8vt5LnfImS9x7hYPrqqd/Lu1ePAfhr7CNzvjhsHJdkH4fvPbFNSsOcgIY0w2Bdo33cMytTthoIVWyNX6WYO62erefD54aKOA0fN0e9m1q/eXRqCLvmYxm3L/LX/X4pv/L5u3tcYM7i97W5baFVu5vX+g4c4+79/tIsb1vWsY7k2V+KECVC59CcwDMM81bJPtg/Y57in4uYaOnz38hliO9Z5fQnDMPTCi9RB2Ma0LAGhBES3ageO/OYYwOYzTBeodVX7hBa8FUsWRMwYMRAnTuxQro7cLuaddXmg0jcYkmEYYLx1qpbQwvWJ3/8CXf0sneIDDrywHcf4o2IAABAASURBVLxr71GMG9IefD/yGqs3uh6km8FroRhJhowrS6a04PpCdvRBQsZl/qaO8VqiBOZPfd9GTV4MzvIrX6KAY7+rv0h8riMgorXrWL9QTKwwDcNwXMMKPDSLa4oGnEroONGiL/QbtH3PIb14CCtyBsuXDEdm2fGatfg7LVxwP6cVUdBYPNkHdjToKUDS4uN50+WZFnbIFkzojwrqZcPfVm73HzwCF+qbNn9tuP51ycPuaVZs/FCw9lIiMRukZMSN31s3rKJ9uLHj4Zx/Vvh23J/Q0sLGNTfGzxesKVzbbTnFhsCTJ/+CHW5zSnqTTsP01EhnwZodVnZM6SpkaK9mbu3D+sq1m3qBFTameT9YDvLmyKLE4t/AgYzQhGtO37RDsKaI1rLHSO3ugukxOxkc4f84WwbtH59p5Hb05J9o1XMUTrt5p5hllgs70c9flkxp8O3GXVi9YRcR6HJJ4ZoW13S/8ejRY3AAhs8cB1zsaDAe/vUPlCmaF2zQdx88SQ/8MDGsO1jPHzhyCqZwzf12bhxQ4lT9Tj7jHSKOGR/LDoXjH378Bey0cr8dwh87FfT7W+3LfqCQRRGUAylZVKOd8VNYYzr5zJRxwWKhLC879x4GLZuZrpK1u2DSnNXgM0QG5DLFtys4k6JWcx/QF3nvDp+Dljs8btXGdHBdC1qV8TvD/UiJgBy8pgUg3Sw4W1xzP8stRWOWJZ5v5RZDDVYyvNNnzuOB6hhTsKb1MAdy66pOqGEEtacYN9PwoUprzJjWCueMP7TNLCsUIFme+I4K7Tyr99F/Kge1zXBzZM8IdoZZTp2Fa7ZZBnRtrBey5uJytMw0jCBe5rWu/KQouu/gCfA+kZ2VcfPd77wuCmcHmAJg3VYDwffjoc3TcfT7mdi5aiwoKk0b2V2LOVamI6ywKpUqiFixYmLImHla9DLPY7oprvO3V+Gc/LBlo0BD8eLCP9dCDZ/P+oiJC3Ho6O8YPag9MqVPHep5L7kzSl5GFwLvZ3hX+8mmyxy6xaqqBqC27jwQrC/AvtJYJUByAJcinZWZYXua4nTChPHwVso39KwWllsaF3Gthw5fVkdIkY+/KV5bmY6oFtZ2NYBL69AnT8U/vv9M4bp2ywG6L7hp0UhsXDgCBzZO1YLx3vWTbBP+WH8M79sCfB87C9d8H966fQ8H1XNDhhTf+D7gxgFF7rNq4ztm4/b94PuWYWbJlA4/HTyu/fbzN9PYsVkNh1sMWnkXL5QDfO553K7NfPdy0JgDpAtXbcWGbft0f80w7H/fcNFH9j/Ihnn8tODH+OfydTgvAMnnxTAM7YJpybfbQPevVj/LrEPZditevaNeJ6bboIlgf5Sz4eqqtoopXLMPT+tz+tym5Tk/+Ztpt2uj1jS8b0uc/+fKcy2u7UrD88K9duO26oMsRSnV9r187YYefLGjL/S8dMhx1xMQ0dr1zF86RlYmpnA9SI/iPnzpsJ53YUBAIB49CkCc2EEjjJxuVaOZN5at3Y5ihXLqBViWq+9mOIZhgJW9+dvqT9PqkOJNxXCmy7OjysUu2FizOg3x48XRi0vyBTdj4bpgjdWQcdk5zYoNEfqnPqlGYtO+kwoxY/73GPM7hWt21DsroYcvvZBps/I3hfyBfrMRns9OxkfhuoPNllNsBJSr3wN8NgJUA9YUrk+fPYcGNUo5LKzZ+aMVBheXo7jB9LnrxvvT33cGaGVSTDWQ6MqHMxa4qOqho6d0GQ5NuKZFmdXP0Omz59HFZwKKFsyBh0p8vXc/qP5iJ4NWsyyrvC+8PxSsO3uPBy2FWHbc9f6w8UrBerUSqqeP7IY2jT9D5xa19GJpW3YcwIEjvyFLxrQwhWuWbz7/EROsX4waO8W09qYFXa3KxeHduSGcBzQYGjsdrhSu2RAd5dOGUaOTqs9CutpI+24qJZq8Aw6y6pMs/sOySPFo5sL16NOhAeaO7YMUyZNpi7v5K7bgg4xpQGHNdP/AzqLFSXgmOMMwwPtDFl/1boaZo3rqclKiVmdwgRpOgWZbYVD3Jvh5wxQsnz4IBXJltdx6igvAsV6p0aw/StftBrrqIi8OHP98+DeHf+BxM1aAU5Hp3mekd2uwDD2TKQt2mGUlIDAQTbv4omUPPz3Nl51AwwjqEPPZ4QAH02BHHRdeNii++qmyvHzdD3he+yG8cCJ67IAaXKretJ+2LOw6cKIuIxxcYd6P/3ZWW3U5C9cRDdcV51HQGd6vJcjMyvhYPk03c87ropjCNS2tM6ZLjViqTWUYQRZ/FJVSp3ozWDvLyjSFDIvlmAIXB4OqfdlfP1fL1v6A+m0GgTMfWS/baTUbSw3klCySB4tWbwXb0yHTd/6fq+DA0AdqgJWDHYYR9GyFPM+dfjOfhfNmB9dyoFXq5sUjdd1Cw5EKqj/CmZ006mGeKQgmShifXy3b+G6mYM1B2Y7NasJsm7Hc0kqXz/NSVUbYnrAs0mgQ0M69R8D2Lf38HvvtjCPFbFNSuOaz+/uZc8+4LWMZd5xswxc+w2yjhRSuvbs0BPtLpmhqQ9Q6yCf//qsG8n8HyyffeQVyZ0XObJnAdahoxKJPUn9YXvhu5qwwCqVql+3/8/3DNpOr15dgxvhccjYcBzl4D5iWgd2agOtcsO1ENoGq78jB+C9VG6J0sbzg4DavtXIzDEO9T2Jqi/KhvZqq9lk2jJ2xDPnLt0Td1oNAt0+0HDZdhcDGf2wPsYyYUbBMrNv6oxowfYgzf19wmXDNePnOW7z6e7BMXrh0zUzSM5/JkiTSbYPxQzuCAjuft2dOkh1uSeA/tcsts2dhpqJIUOyMUrjmAlAUZ+1KVtIkicFOJn1tNezwFb5oPxSsROdP6IcOTauje+s66qV42q7odbgUtih0cRoTOxumcP3k3ydw5XR5nZinf8w0zF+xOdyOJ6fV2zHNii8XNkRoYT2ox5e6AeTsdoPJdBau+/vOBEUM7rdji6+E/HZNqsEUbTgdj9ZtnALt7LPTbsspU1hiA4B+J9moNwxDj+DTL3xnJXhRCGU5ojD697lLHjE6a94fCkkURGtUKKobaHyeafHB54udLArXaVKnwLbdh+woJmA8XZRg3bBWGXDKGwe4ApS4ZEZmdjLoKoT+VD1BsGbeKfzReq5P+89BBmy4Ubxft+VHbPxhH7oNnKQHYTJnSKOF6/y5soCdITsaaUvVICQbsEwXN7NcpHJyIcP9bOhTuDZ9ynGfnRvzGpZwfenKdW0JzneVHWmgH8Hf//wfJg/vgtwfvQ/mmc8K38GT567Gph9+1o1nV4qRzGf6NG8hnRqwZMeLQgY7gZ8W+Ajrv/9JC8gc1OQCXDzXro0d4dpVvJDpvXdVx6GF7uRQWGOHY9vug0ooCHQI1xyAuXbjtuVJCVQdTFqJ8f3CwM2ykjhxAnAKfYWSBRxiPQU4WsmzjuFzxvNdvVGEdVVZoQUsfVgXLfgxiqmBQq4hUbxmJ1Dc+eHHoHq+blUvULhmh51tC1fzcGV8fPebgrVvv1ba7R6FRg62sGxQABzh5CrkVZURMkmV/HXM8u+JJnXLg+9kPtdN61XE5GFddLph879SRfNokav319PgLB5woMxv8mKUKJILFPdtTsYrC55l5bQSO53LQKXShXDo2Gm9Bse167fw7cbdaiDzc3CRUA5CdR0wETQSsDrRoQnWFNc6eY/TsyaiUrm1Ou/PC4/+3VfPGgoKjyHXzmF7isI163u2+XlPnxdemMefc4Dv4QIVW4P95Q3b9upZYXwX+aqBt9CEa86a4yyY5wT70ofZ/+HgBo1TOnmPx9XrN3U5fT3pa6jauC/4DK/ZtEend/biDXptkjeSvfbS8b3ohazf2GZJljQxXLW+hJlG83kxhWuK0nPG9AYX9ytarQM+KtEEQ8d8Aw4wNKxZxtF+MK+36pPGOD3a1sPXY+eDrhg5U33HyrGqz1oWbP9Pmfet7jfR1QwHU62K1wyHdduDh4+xYt0OsL3I9z/3zV6yAWs3/4hJX3cCZ+xdi4CrEDPMl/3ke4WzOtkv3XvohJ5pSheVnEEY2nNrGAbKqAGFj7JmsO3+vGxe5Dp7CYhobS9fW0KncM3Ojy2BPw2UL70B3RrrRnPejz/AqpmD0bphFZgWHpev3kSihAmenm3tByspWrZ9+ll7NO0yXI08DgSn0bDxnu39dFq8ocU1X/x2T5cPUMIaN+cc8oVL8WL8zBXhCtfO11jxnX7I5qgGBgXrL+tWQHmv/LrRHLKxxrhM4ZodH1obcJ9dG8ui2RGn6xgK1rRyNoz/LHDsspziS3bu0g2gxfRM/x7I9eH7DiuU8xevgAMfTIvpKoSCqCcI1uzocHGVA7TUzZQW9FO2bM12XLx8XTVEumDLYj/dKDPLBgVKNvxrVCxqeTFxFqzpp5/WDokSxMfVa7eCxWV2MjiFr2urOrZN3wwW6Sv+USB3VpT1yoe+w6drH4MLVm7VbluWThuAYX1aYMaoHqqj/DvYgeaA2dBezRwzBlyRdJYLirSmcM0BxL0HTyD560lhh6XqxcvX9ABpv+Ez9BoJZh7ZAaRwTQupL9U7gT6KuXFww04BZZMaOChRJPcz02YpBHLgmO8hNrizqGfMf2A7PdBruqkw027HJznUq1YSm3f8DPqIHzhqDpIkToRty0Zj4wJfLSg9ePjI8qgDlUhM91hjZyzX9azZMR4+YSFqVymOTQtHgh1ATqE3YOj4C+bJBk5rNTvFeqcFf1ivVGvaD6XrdIVXjY6Yv2KL9lttlpW4cWODlkq8P3wXmIOpfB8YRlDaLEjGCwfhqrJCDhRNKKTt3HdE1/tr53yNmqqOT6jqXy7UZhgG6irheuHE/mC75oUzE00uYLmNyLoopqDBtiUHFF9l9tjWrlWpGL4Z3xfTRnTT70O261yRJrb/KcYmfyMJKjboCbYlen81FVUa99GzbxrUsE/McUX+nhcH37d0TcYBOLYxeT4NUXJkywDWf6xLaHFdU90f+ixeOWMwRg9qh/jx4vBUSzfzfXL6qdujK9dugu4EMqZLDdNVQFQqt5Zm/jmB0R0LNwqA/Ts3RMi+kNmmPHriD72Q3XOCe6nD7K/u3ndUv/vZVliuREDOaqzcqA+WrNmmZ86FFK65kFyKN5O+VHxhXcQ6jj6SzfLKZ9h8P1O45iKdfB+QEwXaBSu3gGtQLJzUHxnSvh1WsLbt5/vGf2Bb29eXYJuS68TQIIP3ihkynxdTuGZ/nvdk3/pJeqG/NXO+gh2z0xi388ZyS+GaA140/OI7u0yxfNpI4qd1k8CFQmkgkjBBPOfLIv2dHPisjJu5HF1b1waNAClcsx1HwXq0ui98dqg10UCDwjX99LPNEOnIQwTAvmonn/G6T0EXPoyP/Z6Zqu/D2T7s35tlOsSl8tMDCYho7YE3PaJZNhvNbZt85vB9xWtZuXIKBxvU/G3lxsqUo+K79x8DFwf6fqk/dqwYi07Na6LX0CmgZRvFG1drZ01JAAAQAElEQVRMlw9QgvWIiYu0NbMpAJgNxkJ5suvO+fznWFxbxeavc/+gbZ/RqFGxGGg5zM6LYRigONCnw+fPNNYYL8+x+mXHcEPbsijRxs+nDSiCBiphw1U+O+nvlmWCU74osJlpo5+76k37qxHzecGE69ixYrm9hTUbAZxKSsvpD7Nk0Eh4fyhcL1QNVQqjFI7Z2eK0Z32CTX+YFpbD7m3qgIK1YRgwDENbYd66fTdYrGwQ0VcjG2pszAU76KY/YseKCXYsCuf7EPSZvHbzHj3AwAY9s8w6OJ4S3/jd7o1+VEOLg8+VKVxzUOroyT9gdqRDOz8y+079cQ4cEH3w8CE+a9IPbEhTQGCjlQ16P5/WKJg7Gyhcd/Qehy9qlUHDmmV1mYpMvGFdGxAQiIdhiL+se+/df6BFY16fOcO7cOVioXRNwk5F445fI16cOOjTsYEWklkH853NZ57psmpjvU6Lwi07D4BiDcM1y69p0UX/guwAeRXOBT73PMeOjYJ1F58JetbG/u8mY2iv5kq03uzw2cmyMkq9jwLUO7xpF19tURbaYKodaYtImK4qK+RAocIUTeLEiaVdy3RsVsOxuJRhGIgdO1ZEkh1tz2FZLKgGTyKyLgoFDYqQhdT50TbDFiScZYdTrzkIxVkdbyRLgqm+XcFFIfncWxBFlA2CdavfgDaYOHsVTOHaMAz97Ow7dEIN9JRwtGeYCcMwbKvveB/Muoy+tOmSKc9HmdG8QWU43wdPL7dsM1KQpRi36Yf9MP9RfKMVK92emfus/OQ96NmuHrK+n1a7j6Hotvvb8ejWqg5+PXUW9dsM1oYHbNuNmrJEu+SzMn6GFaj6XHw3F67SFjT24qKKFGl5rGOzmnB+P5MTB8E4GMY+PNuYPO9VbGznUrj+0Kb1JThgO9BvNmiw02/YdBSo0Eq3BTZs26sH9jmzZti4+eq+7dfZZ1uXBlb6h4v+8H44C9dmtCxXWVS/OlmSxOaukJ8v9Zsai7kuTovPK4EGRL3bf66F61UbdmJgt8Z61qcZONuYowe2Q3v6zLe4ncD+IfuqObNlRKcWteBcFnOofUN6NgUHgdjPN9Mjn55NQERrz77/L5R7CrYcbaP1Uo82dZExfeoXuv55J5uVKTtYfkqcoB85XsMOR/UKn4IV68TZK/V0cFO4tmu6PMWIw8dPg+4MuGjE0DHztOUfLRwKKcGafqM5NYXiud3CtRase48GX6apUiQLJtAYhhGucE1+rtr4gvVTQsFyF/nsZL7oHoALjtEiiL+5UbD+WjVEBnRr4hjFp8U179nUEV1daqnK9LhyMxsBFEXYWGXDh5YGbMDy/jgL1xQC7Uwbyy3FRS7YxGfGMAwdHd0avZ40MR48+s8S9Mivf2jRlo18fZIH/eE94r2qU9ULd+7dB2ePMPu8P2u37ME7b6dwWFRxv1Uby8qEWSv1VFaGyUGO02fO8eszW4wYMRAzRgxQDLXTUjVvjsyg1UvxQrmwaeEIlffkqKc6fQ3aDQXr4/jx4oIDmD+umaCPVyhRAHw/PJNgi3aw4fz97kPgOylkkFw8yVWDgiHj5m828GtVKq4XZGzftHowAYPHrdwCn3aKt+46CFr+sLPJ9/WOn47oaFh+zY4x6xu906Y/tCzv7DMeX9Yt7xCOCufLrqfYskyb0Zpiz2uJE+Kz8kVgZ7k144yKn+TgLFyzbRMV02lHmlgeaO3Ismq2GTk7omKDnuCiVxyMo1ABADxn+oJ12o8zn2s76xU78mpHmIZhIFvmdNq1AC2vM6RLHaz9aUecUSVMlpeQwjXdMhVWA8wXL121nQPLIwfyyYPPMIVrzh5hua37WclQ63tPL7cUAE3h2n/qUvRVQiWFSzK0evvxwHF06DcWrGP4Lmb/9O2Ub+i1N9iGo0ju268V2FahQMx3ZKPa5Wxpr8SIYehw07/7ljZ6ePft5Np/NX0kt+3tj4+UKJxVCaC0uLb7/YwX/Me2hB2z9piM+PHioF2TatpHdJ2qJbB16ShULFkQMxd9hyJV24EGcvlyZlHlZJpDuOZ1rt5YbkMTrq1OB+sUCtYc9GdfkPUK4zDLb8kiucEBj5BlhLMZ3rDBfQzLLeM/cuJPcLY0vztvH2fNCPbt7XZ15xynfI/aBES0jtr3J8qkji9mTg+88M9VzB7TW/uqtDpxl69cx8Fjp/BWytcRT4kTIcPnSr90SXLqj//pQ2xU2jFdnp06Trde/O02JFEdXo4EU7iu3LA3KL5R/DQ7NEwDhWsKTE/+/Veny+o/XBytWf2KuH7zDpgups85DsP4T7imf6zjv51xPuzS7xRGXSlcx40TB/TXdvvOfUc+kyZJhHFD2uvptHSxcODIKe37z3GCm37hM8pRa2fBmtPi26oBD7pSYBnl/WFjxbS45j7LcagAKVh39pmgFyuqUuYTtSf4/yneTIY/zl7QOylYdxkwARTesr6fTu/ztD+mcM0OMadi0w0Hfctt2XEAXVvVDrWDGllGbDAeVoMFnZQAePvOPR3cg4eP1fN06xlrIAq0FIvtFv7YeK5UqhCWrd2OOHFioUuLWkowqa39iH7ZxRdVm/TF1p0HnkmfTrwFf+i/1XvETFRu1Adrt/yo6pC8usPDDjAb/M5RcICFbjoo9jvvd+X3vErkpyUOfW/bFW9YgjU7PyvW79CdDbP8ukK4fksJA7k/yoxpC9aC7RHm+/zFq/j9z3PYe/BXbNi2D7v2HQU7XgGBgZji2wV8ZxtG0KAZz/e0jZ1T334t9eBLaG0Id+Vx8/YdzFu2SYsTfH7N9tqTV7guiruyjs75YtnwGTFLC1kUbTjIz30sL87CdcwYMXSbZvuPvwTz9W1l3mkcxPZQ7jLNkKNUU+2ShQIpZ8dRuGb7ln0x851tZdzuEBYFwA7NqmP91p9AFy4ULu3IF11V0him84DxoQrX5v1hX5HuNzjIavXMRsaxZ/8xnT22zaqWKwz6QKb4SBcXdLdQumheLdIuWbNND/yPm7FCz3TUF3nAH+c+D11fVCxVEHSHRfcb7ZpUVywCwJlGfO7s6g9FBHPponlA4dpv8hJdniJyzYucw/qMbbadew+DIjBd2jjnl21vDrxwphxnOLL99CLhv8i5LLd+kxfjwcNHYJ3Gdlq3QZMcBjRmWGyycXY029nmPvmM4gRsTp6I1jYDdpfgOdJGp/wjvVvjrRSv25ItTuMaO7g9du49Av+pS7Tli3NE7BjHiR1LvWQCnXdb+p2CMDt1DNS0wuFIMIXr9zO8Cy40+DgggIcdGxu2zT+vBKbPsdPCL9XKfwouAsNpZxcvXQtXuF402VsvDGZh9C8cFBsJ/gNd49+VglFcJVzTItV8AX+cNYPDMpXWmbSO4XTPF85INLsgRowgUcb0fXj+4hXQ9yLLT92qXg7LIN4f3/6tkEyJ+3ZkkYI1hXJaaNWuXNwRr3NcFFHYcDEF626t64DuSpzP8bTvrD9ojUPhmq5CNm3fj5E+rcH6xw4WvAcUstggNIXrDdv26umlXIwmW7FG+NCrMUrU7KynSHOaoGEElTGr0sP6losYsfFqhkkLpcAnT/Dz4VM6XrqiWj5tIHasHKPFxxu37tjinuToyT/RpNMw9VwkVsJEEQwZPVcJoHsxsGtjHDjym/a1zQFBDg6xQ8wBQgr55Gim3dWf7GhUKlUIqzfusmURMOaH9Qo73rQuZMfucUAg2Pnh4ocDujZyzFwxy2+18kV4mW0b4+nVrj4oXLfqNQqcrt93+HSwjudgz5wlG8ApwY06fA0O+BqGtWXWtozZHDDLKZ/3GIoHrdVtji5KBJ8mdUqwTem8GBvbazQ0oMU1fVfTKpLlmZ108iGnKJF4SYTLCNBghnV8icK5QWGx3/AZDlcC5y5cxuAeTR2uQjiwzoH4RAniWZ4+ttnozogiJy106WOX9TtFJA5im8J1gBqMC03ksTxB0TBAvpf2HTwB/4Ftbe0LsZ5gfUFR7XnCtR0Y2X72GTkLv/5+VgdvGIaeTcSyScMHtsPZZuMsZYq0+9ZPxvwJ/dC7fX2wzacvcsM/FGRpQd1atQ04YMk1ctjnCWmsQ0MMtjV9+7XCrlXjUO+zEqH2VVyJiML13LG9Qb3FynjNNhvfcStmDNbrGQ0ZPQ/ffb9XrwNixsX2pClcsw1lxywFltvOPhNw594DJE2SWLcfwxKuaYhw7/5DZHrvHTOJ8unhBES09vACENWyb3YyQhOu2WHmyDZFSDvSfe/+A1Cw5oKPFNvMaaOMK1Xy13UjiBbXdBXiLLLwuCs2NkCeJ1zzHMN49Z10Wvu6wr8rG47dleD5zbLN+Gb5ZocFJgVsTmXnAhzOC4i64j65Og6WW1o8xokT2zFqzY5Pyx5+Snz7FHWdBGs2WmhFZNf9YUOZDRIO8PA5opjGexGSyXtp39KCYJcBEyCC9X90KMhRuKaPRDsFazNGPj++/VrqTkx/1VHv3KIWjm2bhUObp2P78tHYumQUuCgk/ZGb11j5yY54J+9x2ve8WacyTeWK59NTNvlMjxnUTvvYY4OaHTIOwhjGC9dx4SabgyfdBk5Cz7b10LFZDTSqVRa92tbXU0aTqsEddvY+/OA9fN52CApXbavrGrrJoC/GcAN2wUGvwjlB33/x48WxJTbDCOoMN6hRGu36jNbCPoWBAV3/E6zZKTJdhXCqL9+XtiTmaaB8Tkzhunn3kbqe44C6j0oTp2JvWOCL7+YP9/iBsKe4HB98tjg7jQK/Y6ebf2GbcnD3L7Fx275nLK4pXJer30Nb5bMeJB83xyHZC4UADWbGDe2gZ3pykG7VzMFgHVL6qZVqix4jwcHSQaPm4Mefj6F+tVJabAklqEjtYjuuQO6saNWwCtj/4MY1bCjqzF2yEXRVxTLK34GBT/RsoEhF6IYX043icNWmoVBpdfYC1GCBc5i8F6w3whKuOWvLdPHifF1kv7PNP3DUbLCNvVcJ9BRmGaZhBL2r2U4yhWvu50aRlgY9LFP87W4b+xnzV2zBl12Ga8ODEmoAiv2Pil/0AmcqsDyEFK7djUFY+QlU5TbbB+nAssoySwMh7y4NEZZw3a9TQ4zo39ryhWVNwfrd1CnA9hvbcTQC4RpYrNP4fHV7anHNvurIyYvxRc0yoK4RVt5kv2cRENHas+63Rbm1Nxh2Mmgd4yxc8yXNaU1eqoNOSwirU8DwKVgHBASiRsWi4PS7X08FjWCbcbEjztH7qCRc07KMFoJ8YZvp9LRPCkdDejXFtPlrUbZ+d33varccgFHqhWdX4zUqMaZLgzWb9oBlmA0SvvwTJ06gRusToULJAg7rAVrx0AKaVmd2lBeGT8GaoiIbRwO7NQHdKpgLGTkz47MUqDpdIlg7Uwn6zoacK4S/oNigO9+8XwVyZ8Me1SFnw5JpYEORi/olS5LYUYbMa6z6zJE1I3J/9D6O/3Y2mHBdokhusIx0bVlbC9ZWxRdaOHwW9v1yQh36FyneIV08YAAAEABJREFUTKo+g/5n/jltFDBACzdaKB3YOBVHts7EvHF9HLM58Ir/Ucx/wwZ/g87ZMoygzjCF69Nnz6FBjf9EGwrWtGyas2QDQvNL6ByOld9ZRtnx+axcETWIsMnhKsTKOCSs6EWAHeAJs/7z08/U871Elw9Vyn4CvvtYVllmTYtru9ZFYdyyRR8CZr9j1YZdoAU+61TTSpVWzyO92+gBdvrAtSNXbL8dPPY7iuT/CIYRfFC2gBKy61T1wuLVW8HBXbbzuD5LnSpediRFwgyFwL5DJ9Cw/VegYYbzYd4Ltp8oXFNIZt3CdzKFP1roB7UhnK+I/Pf48eKqwfWa2kdzgBIkTaGPIRtG0Ls6NOGaxyO/Rc0QaIzDQZ+Zo3qi5ReVwWd3wYT+SvQsjZ5DpoCGCZ4oXC9dsx0jJi4CZ2ywrJp3Lzzhmm0rrj1knmvFJ/sV7B86C9Z8Nzft6qsH35g29l1Znlv38kdn7/EoWvBjlPo0txXRSxhuQiCGm+RDsuFmBMwGJIVr3wkLMNh/rrY8aFCjzDMNushmPVCJZ2NnrNDBcOXcDk1rgIs1dPYZj7CEawqlMWPG1NdY+YfTdikssjIPK1yKKabFda0WPjh/8arlTMKKO6ruL5ArK+jDrX2TauDCjK0bVsWSqQPw4Qfpo2qSLUsXy0PMmDHwz+XrOkzz5c9Fe3oMnqz9hJ1/6iqkfIn8egqhYQTvFOkLI/GHo+LnL12Dd5dGMC27ixb8GGEJ12w8fjvnK9UgyROJWOVSqwiwzLDjxWmjpqsQq8IOL5ysmdPpwRVaODsPBrJMVylbGFzUNUB1ysILI7LHDMNAw5pltbWuWeezgT1j4XoUL5RDvXfiRjYKt7jeMII6w7T8IycOlrKDThHw73OX4OfTWg+AWJlZ3geWi7DCZOeKwnXujzKDrkJYz4V1bpTcL4myjECgasepIooDR0/BFHFYHkwXWRwAozFESOGalues/yxLiAQU5Qmw3qJVZuVGfdCs6wicU+0jJtrsd5jCNQc0uZ9WqnQlULdqCVCQ5D7rt6A22fUbt58J2jAMLWZfU8dYJz5zguywnUCO7JmQOWMahLRgZsSsP9j2/ePseexX4jb38d1ktfDHcHn/7957oN3YcM0lU+gz6zyeYxhB72oK1/5Tl8EOa2/GE5W2dVt+Uv2J3Ej7TkpHstgvoq/vssXzYfysFXrAh30PO90jOiKPIl8K5cmm3duFNkM8POHa6uSf+fsi+HxkTJcasVR/le/mDv3HacOqumpAjvHxOWJ5Zh1bUonVvHeGEVQv8rhsQkBEaykDUZaA2YDkIlOxYsUEp8yzIWBlgmmZw6lDbRpVhU+XRkqgiKd9UzdvUBnhCde0hLQ6LcwXF5lKkTzZczvgMWLEABvSg7p/idJFRfgjO1pD0vd39zZ1UUyJTXzxcb+7bwkTxNNi0eWrNxxZNV/+AUrwo6uQFt1Hwk7BmuL4teu39CCBYRiOdIQnXLP8Ok6UL6+cAMsMhWtaDHFapR0JopUY3TyZYgA7XR9keFc3ZkPOYvm0wEc48z82dIMW7LQjPWaY7NxwsT7OEqDI1aDdULyf4R1Uq1DUPEU+FQHDCOoMN3jqKqRZV1/YJVir6ECXI4xj+55f+DPUje9hCteF836oBpn/CvUc2eneBCjk0Icpfc2z02u+90K6yDLblAcO/4bvtv7k3lAkd6ESoGBNH+abftgHupaj/9juT6ek8wKzjIQUrnnMzo0CZ85sGbF07XZtaBBaXDFjxvR4A5XQuLhin/me4QBpaMI1B9pZdh48emRLclhuZ6qB9FJ1usJ34kKHEM12m1nnhRSu2abhYLId1t62ZDISgd65ew9x48Z5JgTDMFC/Wklt1EPhlCfY5R6RYUe1Tbs+GtIBR0/8GWw2o5lOU7impXqAGvg191v1yXczyy2fjRHerTB9/lqMmLQIpmDdsGYZR51GPYauQjiLhGXXMP7rSz4vPXLcMwiIaO0Z9zna5pIV3cJJ3uBUKztEyL/O/YM+X0/TDUVnEY0NlPCEa7uAMl52wNkwCsty7PSZc7iiBEr6MRXB2q47EXXD5TRSNgLodoPuYf79F2Aj7I+/got7ZmP2tcQJ8Vn5IrZYWFMopy9gNog4+MOGdUhy4QnXIc+V39YSCFSNUC62Ur1pf3xSpS0advgKXJzOFI1DxsYyM/HrTqqRXyrkoUj/5oJng/3nomi1DqjUsDdmLf4OFLCLFcqJvYdOgDMknIVrdgJHD2qPTOlTRzruiAQQM2YMvdBjrUrFcOvOXdAnP+vjiFzrDuewTBw7eQZTv1kDzvgJK0+GYei6hMI1BzjYKWa5Cev8yOwv55UP9DHe33cGnidcd2tdByWK5IpMdHJtNCRw+849dPaZgNRvJdeDTCyLFHFCc5HF7LFNuWSKDyqWKsifsj1LwG33sH0yRL2D6JN/jHq3FM73Ifp0+Bzx4sUJVuexjNAqn8I1N1cBof9WGuhQlOQArxmv+R6nT2K6LTH3y6drCbA9YPbPQgrXJ06dxYVLV1V7xfpF41huOaNp9/5jWDp1AAZ0bQxnIdqs8wICA8GZcv2GzwBnKbuWjutjC1TtW7ZbGHOGdKmxZ/9RbU3N385b4oQJtJ9rnu+83x2/k0fIfEZEuOZsR5ZvK5nw3ew9Yhb+/PuCGlCIjZzZM4HC9eoNu5D1/bRoUL20Q7DmbN2WPf2wZvNuK5MgYbkZgRhulh/JjhsSoAWC1ZWpienDLO+BC2rNWvQduCgYK3zzGOP8T7ieAIrF5jE7Pxmv2TAKKVzTL1ernqNwVontFHXsTIeEHTUJXL56U3eytu46gAbthiBX6aagK4M5izdg+PgF2LzjZ9V4vqYXpWRj1q5R6wDVQE6aJDHoN/zb2UOD+QsNSY7CNadhs8wahieNnock4brfHNzoM2yartc6NquJJZN9kD9XVrTtM1rvc67r4IJ/ceLEBssBG9DsnF++cgPVvuyH3l9PxW+n/8bf5y+BfqwpXJ/68xwWrNiCt1K87mjUuiCJMIXrulVLoNvAiQjpHsoVaXgVcbBTPGHWSrTrOxpbdh5Ah35j9OJ0YaXFMAwt8LNuYR0T1nmR3W8YBqqWLYw2jT/Tg8vhCdeRjUuuj34E2CmmSPPG6685FnZiLlgmKVw7u8jifnOj4GMY8h4yeXjK5+Ur1/Vii2+lfF21oeI6ss3Bt/jx//vNAxSu6RO3QknXDW6w3A5UgiSNAGo08wYNE3748Rf0GjoFHFBs06iqS9+H5CBbcAJm/4wDHvXbDNZtKfYdO/Qfi6b1KuIdNXgW/IrI/9q0fb9jRpNz+Bx8YTuPMbDsDO/bErdu38VriRPoth73u+t2/eZtcIFUGmWwLVuueD7d75m/YjP42znfdP/z6HEAUiZP5rzbLb9zkK1Nb3/Qatk5g2x3j3tqcT1l3rfPMHI+14rvfDdTsE6UMB56t1cDg0+t4ClcjxncHjt/OoJFq7/X6aBg3cl7PLw+yYk6VUpYEb2E4aYEopdo7aY3QbL1agmwEn2ecD2oexOkeSeVyxJqNoycLa4pWHcZMAG0KOOUHpclRiKKEgTYCNm17yjSpE4Bimq0FPphxRgc2DhNW16wQZY0SSIsXLUV1Zv2Q+4yzTB+5gotXludgRs376B93zG48M8VLSyyQTTxq07hCtef5M2u/TJanRYJ71kCbDD2HTYDcWLHwsxRPRT3D/WChq0bVgHFnLlLNoKLLj57pb17WG9xSva0b9aAnb7vl/pjULcmqoOVBXfu3teRU7ieM6Y3KGzrHS7+YwrXdBXS33cmLl+94eIUuDY6CtZT5q5WYs7vWDF9MOaO7YOs76fDX/+7pPP+8NFjlyWI5XbP/mO6I2NGeuGfq1jy7TZky5wO/Z9jcW1eI5/uT4BlpbPPBJy7cBl0IXf0xB/BMk0Rh3UdB1edp80HO0l+eAQBilicVZky+eugBTWtUP2nLtGLV89fvhm79h1BpS96IVuxRshVuhlK1+mq206cfcm2uJWQmBbOMGK9G1q4bEvNn9BPt/FojDBi0mJ8nC0jxg5pr93AhXaNR+yLQplkmejcvBYG92iKrWqQl3XPVN+utrlq3Ln3MGpVLua4/xcuXUPH/uPwSeU2KFqtIzb9sF/T+enAcRTKkx00UmAa9U43/ZMsSWLUrlwcQ0bPA4Xrt1K+gcHdv8Qc1balVbrZnvzzrwsY5D9HtydpNOOmOBzZKlE4l/7eecD4UIXrQYoRB0FCzszVF1n0h+9mCtZ0wZTu3VRgPeocNDUXWlzTVYj/1KUwBWu6BGH72/lc+S4EnAmIaO1MQ767PQEKf0vWbEPIBiMrUVO4nrdsUzAOfPnn+Tgz+BnsgM0/GJ9pcV2rxQBtISmCtc3Qo3Dw7HTRlQ2tOtjxMZPKcpIxfWq9oF3tKl6YNqIbdq8ej11qa/lFFW09ap5r1Sf9QKZJnRLT5q8FRQGGy87W84RrniebvQR4P8bPWokbN2+je+u6zywcVSB3VlQp+wm4cI1zObI3Vf+FTuGa9Zj3iJnYe/BXfJQ1A/p0aKCnDppnsUy/ysYr42YDepZ/TyR/I6mZLLf5NDMSGPgEsxat1+5ZRnq3VnVIQjXIFYir12+C1jq1WvigbL1uOHryT/MSWz/pc7LvsOlYsHKrFq7PX7zi8H04QQ2KdWxWQ4RrW+9A9AicnWIK1u+qAdxVM4egUe2yuuN78OipYBkwhWuW87Vbfgx2TH54BgG+41ifdB04EZev3VCD/ilhCtd1Ww9SddsZ3V46tm0W9qyZgA0LfDFbDZp+Wa+C5W0nitUUaCoqgXzLjp/DvAF0hVi/WkmsnjVEb/zOfWFeIAdcToBthKIFP8bs0b3g268V6J7CrkTEihUTO346rAf2v924WxulcAbylsWj4NO1EaZ9sxa0PC7nlR98R7L9ZFdaolK4bEt6d2noEK6zf5Ae00d2w5ETf6JgpdbIXaY5uD4J/SaX+jR3VEq6bWnhO8+3X0ulV8RCaMJ16lRv6jbtgwePbEkD380UrGlhPdW3mx5ECNlnZcTUXEZ4t8KK9Tu0hTXb23ymeEw2IRAWARGtwyIj+92SwM3bd0BRmiOxoQnXX/dprjrMW/D7n+cimn9bz2Pjg8J1lTKfoH+nhuBL2tYIJfAoSyA8VzavJ00M+gxmp8jMABdotKsRYBiGFgpO/P6XFh7NOJ2F675fT0P3QZNw6s//mYfl0wUEYsWMqe/NvQcPMXzCAjj7xmT0hmGAZYmC4H11Dve5emM9ZgrXtKx1dfwRiY/PDp+hiJwbXc9hHgvmyQYOiC1bu13XIbR+AQxsXjRSbX6oXdkLE9QgiN0W148fB4CdTnZkmIaQi/UwrXQVwk65z8iZ4MwjyD+PI0AB+uGjAJQulke7BKHbIYoS4QnXdGNTRw3oehwsD8+wKVgvX/cDRvRvpd1PEQkH3Clc8/t7ad9yuAp5LVECLejQLdODuxAAABAASURBVJXVIjHft3Tt9/5772DrEj+ULZ4P8k8IRIQABT0ulJe/QisMG78A/Tp+Aa5plOLNpMiX4wOwnRIQEBiRoKL1Oeyzs/53zsR7ad8GZ5j2952pLa75e/74vvhhxRg9APX9Mn+9Polh2OIOyjkpr+Q72/drNu9B616jMGDkLBw+fhqJEsZXAymhC9d7D53Q6UyjBnz1F4v/fLtpD1iP0iUIDWRMY8CwhOv13wzXrubYvrM4KRKcGxIQ0doNb6pkKWwCaVIHWVn8fPgkwhKuOZ3l7wuXwg7ExUcoXFPgkUWmXAw+CkbH0enQGgEcXWfDjR0ju5JNYct3wkLtN45x0I1Dg+qltZUHR9e5jxuF61ED2oJWbzmyZ0LGdKm5WzabCbAxT8v3sTOW6845fUP/9sf/MHTMvGeE67t3H4D3KX68uDanKuzgo4NwHXbq3edI9szpMXZIB8xduhE1W/hoy0Na6nA2BTsSHOCgP8jAQHs6xRxo6zJgAgpVbovvdx/SFvcUrkNbrMcwDFC4pnUbXZi4z12QnADPZ0DRYtKcVbpOq1qmMNg24lWGYSA84ZrnyOZZBJwFaz+f1trCmuVnwuxV+Gb5Zv2bwvXOvUdAVyE8ZhehAFV3jp62TIln+dCqYRUkiB9PRxUY+ERbyNoZt45I/kRrAuyTLp06EDtXjcX25aNVOcoPwwgSYff/clLPkGIfIFpn8jmJv//gETr1H4cZC9eBzw1PP332PLr4TECbRlW1iG+6CuExug+hOxDzHcF97rbRF3TjTsPAtlJ5rwKIHTs2mnUbgX7DZ+hZIrodlzgR6rcdjMXfblP13FKMmLgQnZrXdLiasYoJ67ChY74BB+X6dfrCMcMzrD6rGS8HXNjONH/LpxAIj0CM8A7KMSHgDgTYeL105QZoFcpFK8ITrnmc1od84blD3iUP0ZfAi7iyoXVt2ndSgguO6Bzb8Od/Fy6Di3zUaTlANxw5wl+qaB4kVKP660JMvebU18Z1yqFuVS9H49qGJEmQTwmwEc/GPBfRq1mpmN7LQYXQhOur129h3vJNKF8i/yu/NxSue7Sph937jznczOjEyx+XEjCFay7ilDdHZm2pwwSwI7J+608omDubQ2jhfqs2DrK17OGHDzKm0daHXp/k1EGzozMmxGI9+oD6YxiGFpyko6NgeND/LIv0vb7/8En0bl9fddBjBcu9YRgiXAcj4tk/du49Cs7Y6NPhc11fmOXnwJHfUPHp4opmX4DC9ZJvt9kG7PqN2/jnynX1zi2g37nsk/x44DiqNO6DwlXaobYaLGRdaFsCJOBoT4DiK/ul5nuPZWjrroMYM325tlS1emZAVAMWP14ctGlcFZw1wbYuZ3B2UYJ1iwaV9KyF0qov4uwqhHyiWh6sTE+AGgjzm7QYRQt8jIlfd0bFUgX1e3HJFB8c/+0Mho9fqGeQDO3VFM3qV8Tytdu1exm6PqIhgpVpYd06xH8ufv/zf7otZ5ZRMw6250IztjKPy6fFBNw4OBGt3fjmStagRbwv2n+Fqk36oFVPPxSq1AYcDeQILK0saHHt7TtDV+ZcuOHrcfORNnUqZMucXvAJgVdK4EVd2dStWgLVKxS1Lc35cmbRjcPmn1fCxUvXUKvFABw69jua1qug/ZI5C+ZsJDE9hhFkDWJboiRgbXXCRjw7MGwYUqxmI3LHT0fwRrIkcBauadXac8gUvWAQhciogI8zSLq0rAUOvESF9LhzGtiRm79iC6p92Q8Uo1lOzPyawjUtrmcuWq9dhdACkYMctZ4OhJjnWvHJQS/fiQvxZd3yulMV0lKMHR1aXFN4ok9apt2KeCWM6EeA5dQUrH37tQLbbyw/U79ZA2exzzCChOsmasCU0+mlzES/ex3ZFLOs0Po098eZUdYrH3xGzgItMll+Dqr2ysj+Qb77zXgoXC+Y0B/mYK+53/y04tMwDNy8dQcHj5zSltWDlcDTod9YNKxVRlvPsr8xa/EGK6KSMNycAN1o0R1E9ab94Td5Mfx8Wmt3b26ebZ29LJnSqvy20cJ1vdaDYQrWhhHUz6ARxKAeTXDn3n19vjv/Ofu/f7Rbt6rlCmurajOvrM+G922JXfuP4sefj2uLZ7oXXTjJG307NgBdH5nnWvW5fuuPuP/woeYemktCxsP2HPsnsxd/h+/VYAv3ySYEXpSAiNYvSkzOjzYEOHWmk/c4lCmWFztWjMX3S/2xbNpAJbSdQnvVYOSo9eThXXD+n6t60YZCldsgSeJE6N6mDjiqDfknBF4hATY+zIGViLiy4YJxVpfbGzfvgLMPiIGi4hc1S2PrrgNoXKc8RqnG8tjpyzFjwTokfzOZdi8gIgFJuW4LDHyird63qkYgG4SmYE2rBy5w8uDBQ3CfKVyX/7wH3s/wDhrUKKMtvlyXUh2T/HnFBOiX+ocfD4GzMibNXY3Sdbpg2dofHM+4s3BNVyF/nL2A4X1bWD6VlBhoDXRDCTmF8mbnz1C3nNkzgcI1RXRaToZ6kux0awKs47hY6K59RzGsT0uHYD10zDxQjKRbLGcAhmHgi5pl0KhWWanjnMF4wHcK1hSnx89agXtKuOrYrCYK5/sQ1dUgXUjBmuWK7rToKoSL2lnddmK7acKsleCgCgdZ6JeYfndpWX381FksUiJSzYrFwH6IV+GcuHP3ngfcIcliZAnEjh0LmdK/owd6l04dAAq5kQ0zOl3P/Pr5tFHvgdfA2Z9PnvwbLPnFC+UEnyvDCBKygx10ox/mQorsl4XMVsb0qVGhRAFs+mFfyEO2/K5c+hP1bm6BMYPbIyyXhIyY7bnl0wehSIGP+VM2IfDCBES0fmFkUeUCScfzCGzdeVBPValT1csxEpkhXWpM9e0GjlaPVw3KlEpsm+XfE7tWj8e+9ZP19BrT39zzwpfjQsBuAuEJ1+wU2enKhs/I6OnLUKZuN6zd8qO26GV6Sn+aB3OXbAAXPJkzpjdKq0EhWhCt3bwHp/48ZzcSCf8pAd5/bpyKd/HSVdCKmp32If5zcevOPQzo2sghNprCdbfWdcCOvNUd9KdJko8oToBTiOtXK43rajBqzuje+Kp3cyxavRVeNTtj0pzVSji5D1O4zvZ+OtsEa2K6efsuDPVfWGWRFt4/H/4NObJlxMoZg1EoTzZeJpuHEWD9xsVCL6g6bs3m3aBvUwrW9LPev9MXtrit8TDEbpFdvvsoWO8/fBKmNT7rFr7v6lcvhctXb+Dm7Ts6rxSsOTuJ7rRKFMml91n9J3bs2KBbwpY9/LRwXal0IWxf7o89ayZgwYR+oJ9ixsl0s6/ycdYM/CmbEHgugcwZ3tV+rfk+f+7JbnhCFieLaz7HfJ7dMJvhZokDYffuP8Svp/4K9TwaJgQEBIZ6zIqd7B/6jJiljWZMYyWznxGecM1BOtbLVqRBwvA8AiJae94995gcHz3xhxKt0z4z7ZwLTLX/sjr2/HxMuw8hEK52GzdObH6VTQhEKQIUik2La1e5smEjJEaMGKAo4Nu/FSbOXoXP2w3RK1OX9cqPv89fwpFf/9CDQRzR/27+cMwd2wdchCNKwXPTxNy8dVfPFpmjBg++qFEGDWqURrs+o9Gk07BnBGt2inc8dRVCCxRpMLppoYhgtnJkCxJH9h76FQVyZcW4IR3xXpq3MHfZRhSt1gGcus7B3KG9mjkGPSIY9HNPu3f/ATgDiieyXrt645bjHcx9zttvp/8GFxW9c/c+bF2sxzlS+R5lCLCOW7N5D1h/mQMpdF1TsUFPhBSsec70Beu0OBhlMiAJcRkB3n8K1tNUGahZsTgo6JiR831H4ZoW1+36jsGZvy9qocV5dpJ5rpWfjLdPxwbI9eH7MIVrGsSwr2HGQxc3oyYvBt2tlS9RwNwtn0JACDyHgKcJ1xTmaTzENv75i1eQ4s2koGuQEZMWPvPeCwgMxMGjp5D9g/eeQ/HlD8eOHQtN6pbT6xxxJhz7jAwtpHDNNh8NanhMNiEQWQIiWkeWoFwfZQkkSpgAf/51HmZl6pzQ99K+hSSJE4IdI+f98j1yBOTqlyPw6NFjDBw1Bxu37w81AAo8rnJlc/rMOdRrM1j7gKclN4UtTkPk4kVtevvD23cmShfNC4oEbJAwwYkSxndYDvG3bPYRYJ3VZeAEZM7wLpo3qIxYsWKice1yWrg+ffac+izlEBvZmadrGYrbdBViX6ok5OhCgL6ja1UqjuXrdujBpx5DJqHkp7mxc+VY8DnnVPnAJ08sz87tO/fQd9gMTJm3Ri+6mfadlMj9UWYMG78APOYcIcWc+Su3oFzxfI6y7Hxcvrs/AfrIpOsG+lVnPWYK10/+faIHR+PHi6sh8Bhnl+w7dELKiibiWX94/ylY08K6dcMqqj6Zj+17fgkGgQKyKVxXbdwHdgvWZuSMN6RwzWPXbtyG/9SlKFW7Cy5fuwE/n9ZSdglGNiHwAgQoXPsPbId33kqOGDGMF7gyep3KflafYdNAf9BN61fAG68ngWEYqq1fBjmzZULz7iPBhV2pdbA+nLXoO/xz+ToqlSpoa0bZLx07uL1DuGb8jNBZuK70RW+Mn7VSDz7zmGxCIDIERLSODD25NkoRYIXJET1W2kxYsUIfg9Pujp74kz+DbfTtSaEwXrw4wfbLDyHwKgjEiRMbBXNnxUC/2WEK12wIzPK315UNO3uteo5CjQpFtX8yWgaRB6ch1q9WEuu/Ga5H+Lm40Y6fDmPLjgM8LJuLCFCw7jxgvB6Ia9OoqsP3vmEYWrjmopidfcbj6Mk/dSORgvXf5y5Jp9hF9yeqRXPh0jX9jJ74/S9dZsz05c+VBddv3sbnbYegSP6PdNkxDAPp07yFzi1qgXWNea4VnxSlvUfMQqKE8dC9dR09+4m+GDs1q6GDZ6fr5Om/dRrpR997xEy8kfQ1VFP1kD5B/ngcAZZB+uk/cOSUEviW6PrMFK5pcU3rLrbhKFjTet+3X0t3Ev487n6/bIaXrd0OCta+/VqB77+Oqk7p7zsjTOGaIjLLFcvXy8YZ2nUUlvi+PfLrH8EOOwvXbfuMBt0eJUuSSPsiHj+0I7hoGgcSg10kP4SAEIgQARpvlPPKr0XcCF0QzU4KCAzEiEmLESd2LNAdY6E82WHOCmfd0rNdPVQrXwTt+oxBrjLNkbdsc1DzGNKzqeXvQ7bjpn6zBjt+OgJqKEQZlnCd/PWkKFYwBz7Jlx092tR19FV4jWxC4GUJiGj9suTkuihFgGJ1J+/xqPhFL9VJ/1mnrWDubKhfvSR6fTUV7BDrneoPRe3Fq79H1szp9YJUapf8LwReOQGufO3dpWGYwjUbDHv2H0PihPEdjRYrE/37n+cwasoSjPRujeoVPtWrTocMP5GKu3f7z7F4sjc+ypoBcePGCXlKFPztHkmiYE0L6wTx4urpgDMXrtdCjpk7wwgSrk1XIc26+kIEa5OOZ31yAHf+ii2o0aw/pi9YiwbthmLesk0OCG8kew2ZzM6yAAAQAElEQVRcPOejLO/h82qlbO3wsd7yfipYs+7gAFjQ+3qcdg3iP6AtPvwgPWo290b24o3hVbMTUr6ZDOyMsVPmSLR8cXsC7AhT/DMzSmGRAmNYwnW5+j0ggrVJy7M+AwOf6AH+Amqwny6O6BLEMAxULVsY4QnXNSsWs3xQjuTjq/dyyuTJwNlooQnXrM9Sp3oTC1du0fVtmWJ5dRvKMNzXQpRcZBMCQuDlCZz93z8489cF0KUp204MiS7T/CYvxmdN+uL7XQe10cHOVWOxcYEvflg5Fv4D2wZzkcRrIrsFKPF8/KyV4KzNUVMWo0DF1qjTaiCWrf1BrysR0uL6yb//atdIZpsvsvHL9UKABF5ctOZVsgmBKETg/MUroHXo+++9g61L/FC2eD6dOsMw9PQZr09y6sq1Qz9VmU9divptBunFC2jlRWsvfbL8EQJRgEBYwjWFn84+E7Bpx88IUJ01O5K6a/9RFCuUAx8qIYvhB6p46EOteI2OKFylnRpdP8zdesuQLjVm+fdE6aJ59G/5Yy8B3v+uAydqlyB+SuTz82kD+nvltGgOwpmxG4ahG7AUrmPHiiUW1iYYD/qkYL1g5VYsX/eDXvBr/oR+oNXNmk17tHW1iYLP7pXrt3D81Flzl+WfAU87Otdu3EKXlrX1QBgF626DJiLr++mQKf07MAfCuBDytmVBC5XR2tvsoFmeKAkwShLgoFzrXqOQv0IrVG7UB1xg65xq23EAIyzhOn+uLPAVC+soeT/tThRFkV+O/45eQ6fi9t17jugMI3zh2nGixV8MI+jd26h22VCFa9ZnXoVz6YE6i6N2XXASkxAQAi4l8ODBIxgxDL1+ENt223YfQrn63XHs5BnQMO/rcfP1+ly0vk7+RlI4+8yHhf+olbBue+ftFCiYJxt2rBiD5vUrqoHDfShdpyta9/LHhx+8p92/cRZUrJgxkC/nB7rNZ2EyJCgPJyCitYcXgOiefXaKR09bhnJe+dCqYRU94sc8BSrBjdOf+Z0d4OXTBoLTWCj+tGn0GcYN6WD51BnGJZsQiCyBkMI1yywF63dTp0CvdvVtm2YVEBAICkoUQelWoEWPkRijnq0uLWqj+ecVQd+z/7twObLZk+tfkADvx+2799G+aXV0bFZT33/68gtPuG5SpzymjugqddwLsnbl6XbFtXPvUUyfvxbenRvqdx7jyZk9IxInTgC+F/mbGy0TC+fNrv0R8rfVG+OKGSMG2NGhj+qRkxaB9QcF60J5soNlNKbq2Jjxmp0ufpr75NNzCMRQHXPDMFCxZCH06fA5/j5/GdWb9senn7XH5LnfotUXlbH/0MlgrkKG9moGca3gOWXEOaexY8UE34e5PswEzrKkxb153DCCC9f092oes/PTMMIWrvke//nwb8iuhB070yBhCwEh4D4EODvj8eMAfNl5OGq3HIAeQyajU/OamOLbFd3b1AXdNv566i/bMsyZTxNmrdSzO51nPk2cswpFCnwMrrX007pJ2jCCizPSjQldINllXGVbRiXgaEEgRrRIpSRSCIRB4PqN2/jnynWUL1FAT7njSCQbqFUa99HWobVb+OjKlr46u7SshX6dvkDRgh/rUcswgpTdQuCVE3AWrunyxm7BmhkuUTgX2KkqVr0DytXrhiSJE2LxZB9ULFUQNSoWxXtp3wKt4XiubK4hwI4uralnLFiHLJnSaMHajDlLprQIS7g2z5FPzyPA6fJl1SBu3+HT8de5fzSAH38+Dk5ZHzrmG/iMmIVxM1Zgw7Z9oKUqO0D6JAv/cKCtZQ8/7W6IHR1OV/3tj/+hcsPeCClYs07hLAL63bYwCRJUNCNA8XmUTxu9MN3azXu0H8xdq8Zh1uhe2iXWIP+5oK9++rPetvtgNMudJNcKAhwIu3n7rvZ9z/AiIlyPHtQO2d5Px9NdshlGkHDdpG55cAboqg27dB/k67HfuGRxNJdkUiIRAlGHgFunJGmSRJjwVSc9g5w6x5o5X6Fa+U+1hkG94/LVG/r9aBeE2LFj49KVG2B77vzFK2B7LuTMJ9bDH2fNABpK/LBiDLq1qhOsr2JX2iRczyMgorXn3XO3yrFhGEpIu4ODR07pqc+DVceGbkAa1ioD+njKljk9Zi3e4FZ5lsx4BgEK1wO6NkbFkgVttbA2aaZ7NxWWTPHB172bY+28YRjRvxWSvJZQH6YF9rXrtx2/9U75YysBU7CeMm8N4saNrTrqz0YnwvWzTDx9DzsQHZvVROF8H6Jd3zGg7/PpC9ahd/vPUerT3Noylc/zjz8fA6d6Wj2dlII1Z4b8cfa8tqwOCAzUHR0K1+9neBd/n7+ExwEB+jZRsKaf9pTJkyFDutSQf6+awKuN3xSuz/9zFUPHzNPlJEPat8HZcpsWjsD25aOxYEJ/lCyS+9UmVGJ3OYHAwCegy5jCVdpq6/sBfrPxy/HTOh2s78KyuM6RLaOu8/SJLvpjGAYa1iyD/p0bgguXVWncF7FjxwLFHpZxFyVDohECQsANCNCFWvPPK6FRrbKgCxBmiYL1d9/vxZETf6KEje9Dtif7dGyg/VOHJ1wzTbIJAbsJiGhtN2EJ31YCnOLMacb9fWdqy+rjp85i0SRvcLGVZEkSw6twTtxx8ndna2IkcCHgTMCC7yWK5EK31q4btWbjqEj+j8ApaYYRtEAQBS7vETNRUgle77yV3IJcSRARJfBhlvewZOoA7Nx7BP5TlygRJ/CZS7M8tbimAEk/cs+cIDvcmsDjgEBtUU1Rx8woOxoUcihcU7D27tIQVcp8gnJe+cEZRz5dG8G7SyMtJpvXWPFpCtacGTLSpzUClGD96NFjHTQtdChc0+KaguQ/l6+DgnVmJWQzrUyzPlH+eDQBinq0uDaF6wcPHzl4sL2XLXM6PavOsVO+eAQBuo+hO6H0776FYX1b4N23k6PP19OQv3xLtO3tDy4qm1W9C0O6CnlVcAzD0Gt+0DJy3/pJ6Nm2nvbf/6rSI/EKASEQ/QlQrOYMun7DZ2Di7FXaLccbyV6zNWNsm/UR4frFGMvZthAQ0doWrBKoKwlUKl0I25f7Y8+aCVgwoR9oMcr42ZnfuvMgOG2Fv2UTAkIgYgTYMOIiWONnrgBd7VDIblC9dMQulrMiRYDWp1xkkYF8WuBjvP/eOxg7uP1zhWuKkoYRNNDAa2VzfwKBgU8wfPx8lKvfAxUa9MT6rT85BjbY0aAYXKXsJ/AZOUsL23YScRas6Xuf4iNnZ9y7/9ARrbNwXa5+d72wKNPItDpOki8eT4BlJyzh2uPheBgAtuO5xoZhBLndqFqusF5fg9b2FIQ3LhyhxOG8mLnoOyxZsw2Hj5/W7o8C1ICZh6GS7AoBIeDmBDhTjTPZEsSPh/lK7+BMJCuzfO/+A3w19hvtTs45XLbR+jwVrtv2GQ36rWZ7jrNHTM3F+Xz5LgTsICCitR1UJUyXE2AF7jzNmdY5oyYvxsVL17S/a5cnSCIUAtGYgGEY2t3Omf9dxJzRvZ5ZNC0aZy3KJ/3+w4f4ZvnmYJbVXET2ecJ1BDMmp7kRAVoeZkyXGmWK5UWn5jUwae5qlK7TBfOWbQI7H+xoUBSmxTVdhdBCx67sr964G2nfSelwZcT3caxYMbW1tXOc7OjQ4rpX+/p6ITWm0fm4fBcCJGAK1xf+uQZOg+Y+2TyLAAVrrunAhWUpQhtGkHDNAVqzPqP1ffUKn2LhxP7Yt36yFnJ6q7olVsyYngVLcisEhIDbE2BfYOnUAWAdx5mxVmc4fry4oLu2Nr39QxWue7arp2fiLly5RUfN9hxntks7TuOQPzYTENE6UoDl4qhG4NqN20rsWYpStbvoBX38fFq73J9dVGMi6RECL0Mge+b08O3XSnzNvgy8SFzDRiCtFw4cOaXqsiUOy1k2Vk3hmgNyS9dsf6ZRGYlo5dJoSqBEkdygJWLK5K9j+bRB+Kp3cyxf9wO8anbGpDmrcffufS0Of169FOLEiW1LLh8/DkC9z0qgb8cGMDsvHEhOlCA+rl675Yjz4uVrGDFpERLGjwfp6DiwyJcwCFC4njqiK6qWLRzGGbLbXQmYgnXINR0Mw0Dj2uW0uyNTuDYZxFX1G2dWsu4x98mnELCHgIQqBNyPgGEE1a+NapdFaMJ1vLhx4FU4FzgT1/1yLzmK6gREtI7qd0jS90IEkiVJhCyZ0mL80I4Y3relCNYvRE9OFgJC4FUQePjosbaMNeMOT7geM6g9tu05hM07foZMyzOJee4nLQ05VX7+8s34V/1H6xuKyE3qlMOBI7+hRK3OWLF+BygSs1xZSerKtZvoMmACClVui+93HwoWtGEY2sr61u27ej8Fa/qbTZI4IZ4RlfQZ8kcICAEh8B+BsNZ0MIwgYcXZ4vq/q+SbEBACQkAIvCwBwwiqX0MTrjmY+PPh35D9g/deNni5Tgi8NAERrV8anVwYFQkYhqGnSn+UNYPHLtYTFe+LpEkICIHQCdCHdeteo5C/QitUbtQHMxau01YMKd9MhtAsrk/8fhaZ0r8D334yKBc6Uc/bS/cgdOWz6rtd6DVkCrq2qoPmn1fCFN+u2LRoJCqXLgSr/52/eAUte/jhg4xpsHWJH7w+yRksigTx4+L1pInx4NEjmII1z2lSpzzo1iTYyfJDCAgBIeBEgDM2wlvTwTAMmBbX/lOXgQN1TpfLVyEgBISAxxGwKsOGEVS/NqlbHq16jsKqDbvANt/XY7/BP5evo1KpglZFJeEIgQgTENE6wqjkRCEgBISAEBAC1hKIEcPQA2wVSxZCnw6f4+/zl1G9aX98+ll7TJ77LVp9URn7D510uAopXTQv/HzayCwSa29DtA4tdao3Qb/VIyYu1IJ10YIfO/JD4ZhTOh07LPjCNSN8VVxfqg5Ns/oVwyyLKdTAy86fjoAW1iJYWwBegnAlAYkrihBwdo3lP/U/l1mGYej1Nvx8WiN27FhRJLWSDCEgBIRA9CdgGAYa1iyD/p0bYuo3a1ClcV9dz9KYhq67on8OJQfRjYCI1tHtjkl6hYAQEALRjoAkOCQBLpRH9wps/I1SIvTlazewdvMe9GhTF7tWjcOs0b2QOGF8DPKfi6Mn/8TcpRuxbfdBLXCLpWpImp792zAMlPcqgNRvJQcFbLtpHP/tDG7cuoNCebOHG1WypImx+NvvtRW2WFiHi0oOCgEhEA4BZ+Fa1nQIB5QcEgJCQAhYRMAwDJQumgdr5nyFfesnoWfbeqALOouCl2A8goB1mRTR2jqWEpIQEAJCQAgIgQgRoJ/hBu2G4NdTZ7WlKoXr8/9cxdAx8/A4IAAZ0r6Nzi1qYdPCEdi+fDQWTOgP+i6OUOBykscRyJDubeTMnhHrtv6If//919b837x9F4b6j1P4Q4vo6vVboN/Dz8oWxsSvO2trSBloCY2U7BMCQiCiBChce/yaDhGFJecJASEgBISAEHAjAjHcKC+SFSEgBISAEBAC0YJArcpeqFiyu6xdGgAAEABJREFUIDr7jA9VuKYLBjz9x8X2smVOB8Mwnu6RDysIRIcw/vzrAoaPX4CWPUZi4pxVuHz1RqjJNgwDVcsWQWDgEwQ+eRLqOVbtpHh09cYt7Xs9tDB/O/03xs5Yrssr3ZaIYB0aJdknBITAixI4IWs6vCgyOV8ICAEhIASEQLQnIKJ1tL+FUSYDkhAhIASEgBCIIAFaqTZvUDnCwnUEg5XT3IQAxWcuytmo49eIFSumKieFcPDIKVRp3Afb9/wSai45sNGpeU3Eihkz1ONW7Uz7Tkrk/igzhikx/fade8GC5WDL/JVbUK54Pj2DINhB+SEEhIAQiASB0rKmQyToyaVCwBYCEqgQEAJCwHYCIlrbjlgiEAJCQAgIAU8nQHHvtz/+FwxDeML1hX+u4bvv9wY7X354BoHHAYGYNGcVdvx0GMumDdRuYiqWKojJw7ugbeNqGOg3W1vnvyoaFMU7Nauho2/efSROnv5buyS5cfMOvEfMxBtJX0O1CkX1cfnzogTkfCEgBMIiYBgGZOYG5J8QEAJCQAgIAY8iIKK1R91uyawQ8DACkl0hEEUI7PjpCJp19X3GStYUrst55ceoKUvABRq5OOPUEV1RtWzhKJJ6SYarCNDCetai9fjxwK/w82kDuoYx4zYMA7UqF8Mn+bJjxfqd5u5X8sky6j+gLT78ID1qNvdG9uKN4VWzE1K+mQw929UDy/UrSZhEKgSEgBAQAkJACAgBIeC5BCTnbkdARGu3u6WSISEgBISAEIhqBMp55UPHZjXQ33dGqMJ17cpeuHHrDv7862JUS7qkx4UEaEVYME82/O/CJSVM79AWzM7R08q5+Cc58fuf/9MDHM7HXP09UcL46N3+c+xbPxnblvljz5oJ2io8Xtw4rk6KxCcEhICNBCRoISAEhIAQEAJCQAi8KgIiWr8q8hKvEBACQkAIeAwBw+BCeYUpXIcqXBNE7FixEC+eCH7wwH83b91Fu75jcODIb8ieOT3GDumAuUs3Yuai9c8I1wEBgUiaJBHixIkdJUjFVelI/kZS8DNKJEgSIQSEgBAQAkJACAgBISAEhIBbEHAD0dot7oNkQggIASEgBNycgGEEF6637jqoBUkuXjd+1gpkzpgGXOTOzTFI9kIQoGDdZeAEpEmdAh9myQD+C0u4pvuYpWu2o2SRPLYvuMh0yCYEhIAQEAJCIOoRkBQJASEgBISApxAQ0dpT7rTkUwgIASEgBF45AcMIEq57t6+PXkOnaD/AJWp1xv0HD8HF7ej+4ZUnUhLgMgKmYJ05w7vo2Kym9gV98fI1/HL89DMW148ePcaISYvxdqo3UapoHmvTKKEJASEgBISAEBACQkAICAEhIASiGAERraPYDZHkuAcByYUQEAJCICwChmGgTLF8+H7pKHzVqzkWT/bB8L4twcXtwrpG9rsfgdAE6/MXr6Bt79E4dvKMtsLP7uQqpGYLH1z45yo6Nw8St92PiORICAgBISAEhIAQEALRk4CkWggIAXsIiGhtD1cJVQgIASEgBIRAuAQSxI+HArmzInWqN2EYRrjnykH3IhAY+ETd86A8nT5zHg8ePAQF6/b9xqJa+U9Rt6qXOh5UJkzhOtv76dTgRgsZ3AjCJn/dn4DkUAgIASEgBISAEBACQsDDCYho7eEFQLIvBISApxCQfAoBIRAVCNy+cw+te43C+q0/YZRPGwQEBqJpF1+07OH3jGDt7CpkaK9mIlhHhRsoaRACQkAICAEhIASEgBAQAlGegHskUERr97iPkgshIASEgBAQAkIgihOgYN3ZZwJSv5Uc1SoU1SI0hevEiRMgyWuJUKFkAYeFNS2v6Srk58MntauQKJ41SZ4QEAJCwP0JSA6FgBAQAkJACAgBlxIQ0dqluCUyISAEhIAQEAJCwCTgSZ8UrDv5jMcbr7+GXu3qI3asmDr79GVO4Tpu3NjoMXgyeB4Fa7oKKV8iPxrXLucQsvUF8kcICAEhIASEgBAQAkJACAgBIeABBES0dq+bLLkRAkJACAgBISAEohgBCtGdfSbg3IXL+PHn4zh64o9gKTSFa9NVSIvuIyGCdTBE8kMICAEhIASEgBB4loDsEQJCQAi4NQERrd369krmhIAQEAJCQAgIgVdJwBSs302dAqtmDkGj2mXRyXs8Dh49FSxZpnD9WuKE+Kx8EbGwDkbHlT8kLiEgBISAEBACQkAICAEhIASiAgERraPCXZA0CAF3JiB5EwJCQAh4KIHAwCd4+CgApYvl0S5B4sSJjYY1y4QrXE8d0RVN6pQXlyAeWmYk20JACAgBISAEhIAQiNYEJPFCwEICIlpbCFOCEgJCQAgIASEgBIQACVCwnrFwHeYt24iaFYs5fFgbhhGucM1rZRMCQkAIOBOQ70JACAgBISAEhIAQ8EQCIlp74l2XPAsBISAEPJuA5F4I2ErAFKxnLlqP3B9lfiYuwxDh+hkoskMICAEhIASEgBAQAkJACAgBIeBEwCLR2ilE+SoEhIAQEAJCQAgIAQ8mcPnaDTx+HIA2jarCZ8RM7Nl/7BkahhEkXDepUw6/HD+Nf//995lzZIcQEAJCQAgIgahJQFIlBISAEBACQsB+AiJa289YYhACQkAICAEhIAQ8gMDjgECcPnMOKd9MhtZKsK73WUm0bfIZ+g6bHqZw/QV9XNcqC0OJ2B6ASLIoBISAEBACQkAICAEhIASEgBCIEAERrSOESU6KjgQkzUJACAgBISAEXEmAgnWrnqOw8rud2nLaMAxULVs4XOHalemTuISAEBACQkAICAEh4K4EJF9CQAi4HwERrd3vnkqOhIAQEAJCQAgIgVdA4IOMaeA3oA0mzl4VpnC9a99RHDhyCjdv3X0FKZQohcALEZCThYAQEAJCQAgIASEgBITAKyMgovUrQy8RCwEh4HkEJMdCQAi4O4HsmdOHK1x37D9Oi9oxYhjujkLyJwSEgBAQAkJACAgBISAEPJiAZD2yBES0jixBuV4ICAEhIASEgBDwSAL0Ye0zYhaKVG2HAX6z9YKK3BeWcB0zZgzkzZEZfj6tkThRAo9kJpkWAkJACESKgFwsBISAEBACQkAIeAwBEa095lZLRoWAEBACQkAIPEtA9rw8gctXruPAkd9QonBupE71JvoNn4ECFVqhRfeROHfhMgb3aKqtqk0f10UL5FCCdRsRrF8euVwpBISAEBACQkAICAEhIASEgIcQENHa+hstIQoBISAEhIAQEAIeQOBtJVSPG9oBB4+dAt19rJo5GBsW+KJ00byYueg7tOgxEjdu3cGgUXOw46fDSPJaQsSLG8cDyEgWhYAQEAJCQAh4DAHJqBAQAkJACNhEQERrm8BKsEJACAgBISAEhIB7Eli6ZjsG+8/Fg4ePkCZ1Sowd3B6rNuxSQvV6vJHsNVSv8CkWTuyPH9dMwEjvNujWug7y5czinjBsyZUEKgSEgBAQAkJACAgBISAEhICnExDR2tNLgOTfMwhILoWAEBACQsAyAoXyZNNuQYaOmReqcP3vv//quOLGiY0i+T9E3aolxMJaE5E/QkAICAEhIASEgBAQArYTkAiEgJsQENHaTW6kZEMICAEhIASEgBBwDQHtFmRIBxw98SeeJ1y7JkUSixAQAnYTkPCFgBAQAkJACAgBISAEXEtARGvX8pbYhIAQEAJCIIiA/BUC0YYALacDA58ES+/zhGu6Cwl2gfwQAkJACAgBISAEhIAQEAJCQAh4JoGXyrWI1i+FTS4SAkJACAgBISAEPIUABeg2vf1x89bdYFl2Fq6nzPsWFLfp43rBhP6oULJgsHPlhxAQAkJACAgBawlIaEJACAgBISAE3JuAiNbufX8ld0JACAgBISAEhEBECYRxXonCufSRzgPGhypcD+r+JTZt348//rqgz0sQPy5ix4qpv8sfISAEhIAQEAJCQAgIASEgBISAEHhxAiJavzgzueIFCMipQkAICAEhIASiO4HEiRLAt19LJUTHQmjCdepUbyL5G0nx4MGj6J5VSb8QEAJCQAgIASEgBF6agFwoBISAELCSgIjWVtKUsISAEBACQkAICAG3JBCecL330Amd5zSpU+hP+SMELCQgQQkBISAEhIAQEAJCQAgIAY8kIKK1R952ybQQ8GQCknchIASEwMsRMIXrJIkToX7bwVj87Tb4T12KERMXolPzmuDxlwtZrhICQkAICAEhIASEgBAQAkLAegISYnQmIKJ1dL57knYhIASEgBAQAkLApQQoTA/t1RTN6lfE8rXbcefufcwe0xsfZnnPpemQyISAEBACr4yARCwEhIAQEAJCQAgIARcQENHaBZAlCiEgBISAEBAC4RGQY9GLQLy4cVClzCdYOMkbfTs2wFspXo9eGZDUCgEhIASEgBAQAkJACAgBISAEojgBdxWtozh2SZ4QEAJCQAgIASEgBISAEBACQkAICAEhYAEBCUIICAEhIATckICI1m54UyVLQkAICAEhIASEgBCIHAG5WggIASEgBISAEBACQkAICAEh8OoIiGj96thLzJ5GQPIrBISAEBACQkAICAEhIASEgBAQAkJACLg/AcmhEBACkSYgonWkEUoAQkAICAEhIASEgBAQAkJACNhNQMIXAkJACAgBISAEhIAQ8BwCIlp7zr2WnAoBISAEQhKQ30JACAgBISAEhIAQEAJCQAgIASEgBISA+xOIdjkU0Tra3TJJsBAQAkJACAgBISAEhIAQEAJCQAi8egKSAiEgBISAEBACQsAuAiJa20VWwhUCQkAICAEhIARenIBcIQSEgBAQAkJACAgBISAEhIAQEAIeT0BEaw8oApJFISAEhIAQEAJCQAgIASEgBISAEBACQsD9CUgOhYAQEALuQkBEa3e5k5IPISAEhIAQEAJCQAgIATsISJhCQAgIASEgBISAEBACQkAIuJiAiNYuBi7RCQEhQAKyCQEhIASEgBAQAkJACAgBISAEhIAQEALuT0ByKARejoCI1i/HTa4SAkJACAgBISAEhIAQEAJCQAi8GgISqxAQAkJACAgBISAE3JyAiNZufoMle0JACAgBIRAxAnKWEBACQkAICAEhIASEgBAQAkJACAgBIRA1CNgpWkeNHEoqhIAQEAJCQAgIASEgBISAEBACQkAICAE7CUjYQkAICAEhIAQsJSCitaU4JTAhIASEgBAQAkJACFhFQMIRAkJACAgBISAEhIAQEAJCQAh4JgERrT3zvnturiXnQkAICAEhIASEgBAQAkJACAgBISAEhID7E5AcCgEhEK0JiGgdrW+fJF4ICAEhIASEgBAQAkJACLiOgMQkBISAEBACQkAICAEhIARcQUBEa1dQljiEgBAQAmETkCNCQAgIASEgBISAEBACQkAICAEhIASEgPsTkBy+AAERrV8AlpwqBISAEBACQkAICAEh4DkEjp08g4IVWyNbsUaOjb+533MoSE6FQFQnIOkTAkJACAgBISAE3JGAiHup8QEAAAX+SURBVNbueFclT0JACAgBISAEIkNArhUCQiAYgXFDO+DYtll6a1q/Ipp2GQ4RroMhkh9CQAgIASEgBISAEBACQsBSAiJaW4oz7MDkiBAQAkJACAgBISAEhED0J1C5dCEkeS0RfjxwHJev3kDZet0dVti0yO791VRHJr/ffVAf53mOneoLz+GmvuLe/Qdo0mlYsDCmL1jHQ7IJASEgBIRANCUgyRYCQkAICIHIExDROvIMJQQhIASEgBAQAkJACAgBewlE2dBzfZgJ+9ZP0lbY25b548CRUzBF5+yZ0+t0r964W3/yDy20v991EKWK5uFPDPafi1QpXtfX05qbYZw+c06L2foE+SMEhIAQEAJCQAgIASEgBDyQgIjWHnjTJctCIIiA/BUCQkAICAEhIARelMCoKUv0JbS4Tv5GUgzt1QwJ4sfT+/i7ZqVioOjMHebvXXuPOERoWmhnyZQW+XNm0fsuXrqGDOlS83S98RrnMPVO+SMEhIAQEAJCQAgIgUgRkIuFQPQjIKJ19LtnkmIhIASEgBAQAkJACAgBFxJo23s0shULWoyRltRzx/YGxWUmgZbTXJzRPO43eTEoRNPtB48XyJUVv546i58O/qrdiSz5dhs+yfehFropdvM7r+H1dBNiXsdrZYviBCR5QkAICAEhIASEgBAQArYRENHaNrQSsBAQAkJACLwoATlfCAgBIRAVCTgvxPjd/OEOwZpuQGq18MHQ3s0c7j06t6gVLAvp06QCLas3bd+Poyf/1Mdopa2/qD9f1i2vr+V1FLbzlmupfVyLeK3gyP9CQAgIASEgBISAEBACbkvgeRkT0fp5hOS4EBACQkAICAEhIASEgBAIhQDdgFBsLl4oZyhHg3bRmrpBzdJYtWEXaLFNH9imlXbQGUF/TfGaAvn5f67i7r0HQQfkrxAQAkIg4gTkTCEgBISAEBACbkNARGu3uZWSESEgBISAEBACQsB6AhKiEAifgLO/aroKmfbNmmcu4IKM776dAq8lSoD61Uo5jl++ekNbVfPT3PnH2Qt4O+UbSJggyE+2uV8+hYAQEAJCQAgIASEgBISAJxEQ0dqT7nZUyaukQwgIASEgBISAEBACbkCgb8cGOhd06UGf1CMnLUKdqiX0Puc/tKymhTXdhNBdiHmM+1OleB3Fqnd0+Mymz+thfVton9fmefIpBISAEBACQiDaEpCECwEhIARekoCI1i8JTi4TAkJACAgBISAEhIAQcG8C2TKnw541ExCW+w+6/pgxqof2SX1s2yzwe4em1fUnj5l06J+aizNy0UXn/Tw+tNd//rAZhrPPbB4PbZN9QkAICAEhIASEgBAQAkLA3QmIaO3ud1jyJwSEQEQIyDlCQAgIASEgBGwjwAUW6afaeQFG2yKTgIWAEBACQkAICAEhIATCIyDHogkBEa2jyY2SZAoBISAEhIAQEAJCQAhEPwK0sp67ZCPoHoTuQKJfDiTFQiAiBOQcISAEhIAQEAJCQAhYS0BEa2t5SmhCQAgIASEgBKwhIKEIASHgFgToDoRuQ+gGxC0yJJkQAkJACAgBISAEhIAQEAIuIOBRorULeEoUQkAICAEhIASEgBAQAkJACAgBISAEhMArJiDRCwEhIASEQPQmIKJ19L5/knohIASEgBAQAkJACLiKgMQjBISAEBACQkAICAEhIASEgBBwCQERrV2CWSIRAmERkP1CQAgIASEgBISAEBACQkAICAEhIASEgPsTkBwKASHwIgREtH4RWnKuEBACQkAICAEhIASEgBAQAlGHgKRECAgBISAEhIAQEAJCwC0JiGjtlrdVMiUEhIAQeHkCcqUQEAJCQAgIASEgBISAEBACQkAICAEh4P4EonIORbSOyndH0iYEhIAQEAJCQAgIASEgBISAEBAC0YmApFUICAEhIASEgBCwgICI1hZAlCCEgBAQAkJACAgBOwlI2EJACAgBISAEhIAQEAJCQAgIASHgSQREtPaku+2cV/kuBISAEBACQkAICAEhIASEgBAQAkJACLg/AcmhEBACQiAaEvg/AAAA//94lv7FAAAABklEQVQDAJA0w9KgSvDzAAAAAElFTkSuQmCC"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# On ajoute une colonne en % pour l’affichage\n",
    "country_stats_plot = country_stats.copy()\n",
    "country_stats_plot[\"rupture_pct\"] = country_stats_plot[\"rupture_ratio\"] * 100\n",
    "\n",
    "# Tri décroissant par proportion de ruptures\n",
    "country_stats_plot = country_stats_plot.sort_values(\"rupture_ratio\", ascending=False)\n",
    "\n",
    "fig = px.bar(\n",
    "    country_stats_plot,\n",
    "    x=\"country\",\n",
    "    y=\"rupture_ratio\",\n",
    "    hover_data={\n",
    "        \"rupture_pct\": ':.2f',\n",
    "        \"ruptures\": True,\n",
    "        \"total_obs\": True,\n",
    "        \"rupture_ratio\": False,  # on cache la version décimale\n",
    "    },\n",
    "    labels={\n",
    "        \"country\": \"Pays\",\n",
    "        \"rupture_ratio\": \"Proportion de ruptures\",\n",
    "        \"rupture_pct\": \"% de ruptures\",\n",
    "        \"ruptures\": \"Nb de ruptures\",\n",
    "        \"total_obs\": \"Nb d'observations\"\n",
    "    },\n",
    "    title=\"Proportion de ruptures par pays (avec volumes au survol)\"\n",
    ")\n",
    "\n",
    "# Format en %\n",
    "fig.update_yaxes(tickformat=\".1%\")\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis_tickangle=-45,\n",
    "    bargap=0.2\n",
    ")\n",
    "\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e1c114db-5fbd-4cd3-a897-b9d4c96053fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[df['country']=='JAPAN'].to_csv('Japan.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "95bc353d-e883-4989-aaca-1b3c9b51ee5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== BASIC NUMERIC STATS ===\n",
      "count    12501.000000\n",
      "mean         0.069464\n",
      "std          0.137360\n",
      "min          0.000000\n",
      "1%           0.000000\n",
      "5%           0.000000\n",
      "10%          0.000000\n",
      "25%          0.000000\n",
      "50%          0.013699\n",
      "75%          0.069767\n",
      "90%          0.213497\n",
      "95%          0.333333\n",
      "99%          0.720000\n",
      "max          0.992308\n",
      "Name: rupture_ratio, dtype: float64\n",
      "rupture_bucket\n",
      "0–0.1%       12\n",
      "0.1–1%      619\n",
      "1–5%       3078\n",
      "5–10%      1189\n",
      "10–25%     1463\n",
      "25–50%      703\n",
      "50–100%     311\n",
      "0%         5126\n",
      "Name: count, dtype: int64\n",
      "\n",
      "=== DISTRIBUTION (PERCENT) ===\n",
      "rupture_bucket\n",
      "0–0.1%      0.10\n",
      "0.1–1%      4.95\n",
      "1–5%       24.62\n",
      "5–10%       9.51\n",
      "10–25%     11.70\n",
      "25–50%      5.62\n",
      "50–100%     2.49\n",
      "0%         41.00\n",
      "Name: count, dtype: float64\n",
      "\n",
      "Comptes avec 0 rupture = 5126 (41.00%)\n",
      "Comptes avec rupture_ratio > 75% = 99 (0.79%)\n",
      "Comptes avec rupture_ratio > 10% = 2477 (19.81%)\n"
     ]
    }
   ],
   "source": [
    "rs = rupture_summary.copy()\n",
    "\n",
    "# 1. Stats numériques classiques\n",
    "print(\"\\n=== BASIC NUMERIC STATS ===\")\n",
    "print(rs[\"rupture_ratio\"].describe(percentiles=[0.01, 0.05, 0.10, 0.25, 0.5, 0.75, 0.90, 0.95, 0.99]))\n",
    "\n",
    "\n",
    "# 2. Distribution par classes (bins)\n",
    "\n",
    "rs[\"rupture_bucket\"] = pd.cut(\n",
    "    rs[\"rupture_ratio\"],\n",
    "    bins=[0, 0.001, 0.01, 0.05, 0.10, 0.25, 0.50, 1.01],\n",
    "    labels=[\n",
    "        \"0–0.1%\",\n",
    "        \"0.1–1%\",\n",
    "        \"1–5%\",\n",
    "        \"5–10%\",\n",
    "        \"10–25%\",\n",
    "        \"25–50%\",\n",
    "        \"50–100%\"\n",
    "    ],\n",
    "    include_lowest=True\n",
    ")\n",
    "\n",
    "# Ajouter la catégorie \"0%\"\n",
    "rs[\"rupture_bucket\"] = rs[\"rupture_bucket\"].cat.add_categories(\"0%\")\n",
    "\n",
    "# Remplacer les 0% exacts\n",
    "rs.loc[rs[\"rupture_ratio\"] == 0, \"rupture_bucket\"] = \"0%\"\n",
    "\n",
    "bucket_counts = rs[\"rupture_bucket\"].value_counts().sort_index()\n",
    "print(bucket_counts)\n",
    "\n",
    "\n",
    "# 3. Pourcentages\n",
    "bucket_percent = (bucket_counts / len(rs) * 100).round(2)\n",
    "\n",
    "print(\"\\n=== DISTRIBUTION (PERCENT) ===\")\n",
    "print(bucket_percent)\n",
    "\n",
    "\n",
    "# 4. Nombre de comptes totalement propres\n",
    "no_rupture = (rs[\"n_ruptures\"] == 0).sum()\n",
    "print(f\"\\nComptes avec 0 rupture = {no_rupture} ({no_rupture/len(rs)*100:.2f}%)\")\n",
    "\n",
    "# 5. Comptes extrêmement problématiques\n",
    "severe = (rs[\"rupture_ratio\"] > 0.75).sum()\n",
    "print(f\"Comptes avec rupture_ratio > 75% = {severe} ({severe/len(rs)*100:.2f}%)\")\n",
    "\n",
    "medium = (rs[\"rupture_ratio\"] > 0.10).sum()\n",
    "print(f\"Comptes avec rupture_ratio > 10% = {medium} ({medium/len(rs)*100:.2f}%)\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "425b36d0-c92a-4405-be28-35b1fc292fec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre total de ruptures en 2021 : 71090\n",
      "\n",
      "=== RUPTURES 2021 — POSITIVES vs NEGATIVES ===\n",
      "gap_type\n",
      "negative    38092\n",
      "positive    32998\n",
      "Name: count, dtype: int64\n",
      "\n",
      "(%)\n",
      "gap_type\n",
      "negative    53.58%\n",
      "positive    46.42%\n",
      "Name: proportion, dtype: object\n",
      "\n",
      "=== STATISTIQUES DES GAPS ===\n",
      "            count         mean            std           min        25%  \\\n",
      "gap_type                                                                 \n",
      "negative  38092.0 -7150.538497   99000.868201 -5.257530e+06 -438.04975   \n",
      "positive  32998.0  9865.849003  139488.218647  1.000000e-05   22.76075   \n",
      "\n",
      "               50%         75%           max  \n",
      "gap_type                                      \n",
      "negative  -57.9725    -2.74375 -6.000000e-06  \n",
      "positive  159.3720  1007.14050  1.814960e+07  \n"
     ]
    },
    {
     "data": {
      "image/png": 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p3bp1eeo5sOa+r7y62cOrMzIybrs3I69udh7jhglA8iur9+utt95SvXr1cmyT9Qdljx49dO+992rZsmVat26d3nrrLb3xxhv67rvvcuztstaxY8fUtm1bVa9eXe+8846Cg4Pl4uKiH374QTNmzMhX72nLli117NgxrVixQuvWrdMnn3yiGTNmaO7cuRo4cOBt15xV0xdffJFj4MnrbKI5/fze6ufP1vJzrhtrzszMlMlk0urVq3P8ub1VMMm6jk888cRNPxy4MUTf7u9GUlKSOnXqpMTERP34448WPbiSFBgYKEk6depUtn1PnTolPz+/bL1n6enpevjhh7V3716tXbtWtWrVylMtAO4+BDIARcYXX3whSQoPD79lOwcHB7Vt21Zt27bVO++8o6lTp+qll17Spk2b1K5du5v+wZhfNw5hMwxDR48etfijr3jx4jk+r+mvv/6y6BWyprby5ctrw4YNunDhgkUv2aFDh8zbbaF8+fLav3+/DMOwqO/GZ6JlDYf09va2mJr7ZgIDA/XMM8/omWeeUXx8vBo0aKApU6bcNJD5+/vLzc0tx9nvblz3v//9T2lpafr+++8tej9uNtTt6NGj2d5f1sN9r59Iw8/PT/3791f//v2VkpKili1bauLEibcMZOXLl89xmOPNrp+/v3+erp81bvXzl5Oc6v3jjz/k4eFhnkDlZj+rWb1LN57vZufKSaVKlWQYhkJCQsw9lXlVqlQpeXl5KSMjw+bXMSeXL19W165d9ccff2jDhg0KDQ3N1qZMmTIqVapUjg933rFjR7YPMDIzM9W3b19FRUVpyZIlatWqVUGVD+AO4B4yAEXCxo0b9eqrryokJCTbvTfXO3fuXLZ1WX/sZA0XynrGka0eaPv5559b3Nf2zTff6NSpUxbBolKlStq2bZvFA2BXrlyZbQpva2q7//77lZGRodmzZ1usnzFjhkwmk016mrLOc/LkSX3zzTfmdRcvXsw2HKxhw4aqVKmS3n77baWkpGQ7TtbsexkZGdnu4fL391dQUNBNp9KXrvVitGvXTsuXL7e49+zo0aPZ7pfL6vG4vocjKSlJ8+bNy/HYJ0+e1LJly8zLycnJ+vzzz1WvXj1zb9XZs2ct9ilWrJgqV658y5qla9dv27Zt2rFjh3ldQkKCFi5caNEuPDxc3t7emjp1qq5cuZLtOPmZvTBLpUqVlJSUZPFg9VOnTlm85+tFR0db3Gf1999/a8WKFerQoYP52t7sZ9Xb21slS5a0mCZfkj744IM81/vwww/L0dFRkyZNytZLZRhGtu/F9RwdHdW9e3d9++232R7OLN3edbxRRkaGevbsqejoaC1dulRhYWE3bdu9e/dsv/NRUVH6448/9Oijj1q0HT58uBYvXqwPPvhADz/8sM3qBWAf9JABKHRWr16tQ4cO6erVqzp9+rQ2btyo9evXq3z58vr+++/NN8HnZPLkydq6das6d+6s8uXLKz4+Xh988IHKli1rfr5RpUqV5Ovrq7lz58rLy0uenp5q2rRpvu+98fPzU4sWLdS/f3+dPn1aM2fOVOXKlS2m5h84cKC++eYbdezYUT169NCxY8f05ZdfWkyyYW1tXbt2VZs2bfTSSy/pxIkTqlu3rtatW6cVK1ZoxIgR2Y6dX4MGDdLs2bPVt29f7d69W4GBgfriiy/k4eFh0c7BwUGffPKJOnXqpJo1a6p///4qU6aM/v33X23atEne3t763//+pwsXLqhs2bJ65JFHVLduXRUrVkwbNmzQzp07NX369FvWMnHiRK1bt0733HOPhgwZYg6ktWrVsngobocOHeTi4qKuXbvq6aefVkpKij7++GP5+/vnOGysatWqGjBggHbu3KnSpUvrs88+0+nTpy0CXGhoqFq3bq2GDRvKz89Pu3btMk/dfytjxozRF198oY4dO+q5554zT3tfvnx5i4Dk7e2tOXPmqE+fPmrQoIF69eqlUqVKKTY2VqtWrdI999yTLXznVa9evTR27Fg99NBDevbZZ83T6VetWjXHZ7/VqlVL4eHhFtPeS9KkSZPMbbIm/XjppZfUq1cvOTs7q2vXrvL09NTAgQP1+uuva+DAgWrUqJG2bt1q7nHMi0qVKum1117TuHHjdOLECXXr1k1eXl46fvy4li1bpqeeekqjRo266f6vv/66Nm3apKZNm2rQoEEKDQ3VuXPn9Ouvv2rDhg05fnCTH88//7y+//57de3aVefOnbN4RqJ0bdhklhdffFFLly5VmzZt9NxzzyklJUVvvfWWateubTGJ0MyZM/XBBx8oLCxMHh4e2Y750EMPmcNwUlKS3nvvPUkyP9pj9uzZ8vX1la+vb64/mwDuELvM7QgA+ZA1bXfWy8XFxQgICDDat29vzJo1y2Jq+Sw3TtsdFRVlPPjgg0ZQUJDh4uJiBAUFGY899pjxxx9/WOy3YsUKIzQ01DxdetYU3a1atTJq1qyZY303m/b+q6++MsaNG2f4+/sb7u7uRufOnY2//vor2/7Tp083ypQpY7i6uhr33HOPsWvXrmzHvFVtOU1dfuHCBWPkyJFGUFCQ4ezsbFSpUsV46623LKadN4xr043nNM38zabjv9Fff/1lPPDAA4aHh4dRsmRJ47nnnjPWrFljMe19lj179hgPP/ywUaJECcPV1dUoX7680aNHDyMqKsowDMNIS0szRo8ebdStW9fw8vIyPD09jbp16xoffPBBrnUYxrXvcf369Q0XFxejUqVKxieffGI8//zzhpubm0W777//3qhTp47h5uZmVKhQwXjjjTeMzz77LNvU4OXLlzc6d+5srF271qhTp47h6upqVK9e3Vi6dKnF8V577TWjSZMmhq+vr+Hu7m5Ur17dmDJlipGenp5rzXv37jVatWpluLm5GWXKlDFeffVV49NPP81xmvJNmzYZ4eHhho+Pj+Hm5mZUqlTJ6Nevn8U09DnJ7bER69atM2rVqmW4uLgY1apVM7788subTns/dOhQ48svvzSqVKliuLq6GvXr18/2fTYMw3j11VeNMmXKGA4ODhbv5eLFi8aAAQMMHx8fw8vLy+jRo4cRHx9/02nvb/aYim+//dZo0aKF4enpaXh6ehrVq1c3hg4dahw+fPiW18IwDOP06dPG0KFDjeDgYMPZ2dkICAgw2rZta3z00UfmNlm/wzd+r281df/1sh6TcbPXjfbv32906NDB8PDwMHx9fY3evXsbcXFxFm0iIiJueczrf16y6szpldNjDgDYh8kwbHS3NgAAd6lu3brla0p66do9YrVq1dLKlSsLoLLCx2QyaejQofnujQMAWOIeMgBAkXLj85qOHDmiH374Qa1bt7ZPQQAA3AL3kAEAipSKFSuqX79+qlixov766y/NmTNHLi4uPDQXAHBXIpABAIqUjh076quvvlJcXJxcXV0VFhamqVOn3vQhwgAA2BP3kAEAAACAnXAPGQAAAADYCYEMAAAAAOyEe8hsJDMzUydPnpSXl5dMJpO9ywEAAABgJ4Zh6MKFCwoKCpKDw637wAhkNnLy5EkFBwfbuwwAAAAAd4m///5bZcuWvWUbApmNeHl5Sbp20b29ve1cDQAAAAB7SU5OVnBwsDkj3AqBzEayhil6e3sTyAAAAADk6VYmJvUAAAAAADshkAEAAACAnRDIAAAAAMBOuIcMAAAAsDPDMHT16lVlZGTYuxTkgaOjo5ycnGzyuCsCGQAAAGBH6enpOnXqlC5evGjvUmAFDw8PBQYGysXF5baOQyADAAAA7CQzM1PHjx+Xo6OjgoKC5OLiYpNeFxQcwzCUnp6uhIQEHT9+XFWqVMn14c+3QiADAAAA7CQ9PV2ZmZkKDg6Wh4eHvctBHrm7u8vZ2Vl//fWX0tPT5ebmlu9jMakHAAAAYGe308MC+7DV94zvPAAAAADYCYEMAAAAAOyEQAYAAAAAdkIgAwAAAFCg5s+fL19fX3uXcVcikAEAAACAnRDIAAAAgCLuwoUL6t27tzw9PRUYGKgZM2aodevWGjFihCTpiy++UKNGjeTl5aWAgAA9/vjjio+PN++/efNmmUwmrVq1SnXq1JGbm5uaNWum/fv353ruzZs3q3///kpKSpLJZJLJZNLEiRM1efJk1apVK1v7evXq6ZVXXpEk9evXT926ddOkSZNUqlQpeXt7a/DgwUpPTze3z8zM1LRp0xQSEiJ3d3fVrVtX33zzzW1esTuHQAYAAAAUcZGRkfr555/1/fffa/369frxxx/166+/mrdfuXJFr776qn777TctX75cJ06cUL9+/bIdZ/To0Zo+fbp27typUqVKqWvXrrpy5cotz928eXPNnDlT3t7eOnXqlE6dOqVRo0bpySef1MGDB7Vz505z2z179mjv3r3q37+/eV1UVJQOHjyozZs366uvvtJ3332nSZMmmbdPmzZNn3/+uebOnasDBw5o5MiReuKJJ7Rly5bbuGJ3Dg+GBgDABuo1aKS4uDhJUkBAgGJ+3WXnigDgmgsXLmjBggVatGiR2rZtK0maN2+egoKCzG2efPJJ89cVK1bUu+++q8aNGyslJUXFihUzb5swYYLat28vSVqwYIHKli2rZcuWqUePHjc9v4uLi3x8fGQymRQQEGBeX6xYMYWHh2vevHlq3Lixua5WrVqpYsWKFvt/9tln8vDwUM2aNTV58mSNHj1ar776qq5cuaKpU6dqw4YNCgsLM9f/008/6cMPP1SrVq1u59LdEfSQAQBgA3FxcRq7YKPGLthoDmYAcDf4888/deXKFTVp0sS8zsfHR9WqVTMv7969W127dlW5cuXk5eVlDjKxsbEWx8oKPZLk5+enatWq6eDBg/mubdCgQfrqq690+fJlpaena9GiRRbhUJLq1q0rDw8PixpSUlL0999/6+jRo7p48aLat2+vYsWKmV+ff/65jh07lu+67iR6yAAAAID/sNTUVIWHhys8PFwLFy5UqVKlFBsbq/DwcIt7tQpC165d5erqqmXLlsnFxUVXrlzRI488kuf9U1JSJEmrVq1SmTJlLLa5urratNaCQiADAAAAirCKFSvK2dlZO3fuVLly5SRJSUlJ+uOPP9SyZUsdOnRIZ8+e1euvv67g4GBJ0q5dOQ+73rZtm/kY58+f1x9//KEaNWrkWoOLi4syMjKyrXdyclJERITmzZsnFxcX9erVS+7u7hZtfvvtN126dMm8ftu2bSpWrJiCg4Pl5+cnV1dXxcbGForhiTkhkAEAAABFmJeXlyIiIjR69Gj5+fnJ399fEyZMkIODg0wmk8qVKycXFxe99957Gjx4sPbv369XX301x2NNnjxZJUqUUOnSpfXSSy+pZMmS6tatW641VKhQQSkpKYqKijIPQcwahjhw4EBzqPv555+z7Zuenq4BAwbo5Zdf1okTJzRhwgQNGzZMDg4O8vLy0qhRozRy5EhlZmaqRYsWSkpK0s8//yxvb29FRETk/8LdIdxDBgAAABRx77zzjsLCwtSlSxe1a9dO99xzj2rUqCE3NzeVKlVK8+fP19KlSxUaGqrXX39db7/9do7Hef311/Xcc8+pYcOGiouL0//+9z+5uLjkev7mzZtr8ODB6tmzp0qVKqU333zTvK1KlSpq3ry5qlevrqZNm2bbt23btqpSpYpatmypnj176oEHHtDEiRPN21999VW98sormjZtmmrUqKGOHTtq1apVCgkJsf5C2YHJMAzD3kUUBcnJyfLx8VFSUpK8vb3tXQ4A4A4LCCqrsQs2SpLeiLhPcSf/sXNFAAqDy5cv6/jx4woJCZGbm9sdO29qaqrKlCmj6dOna8CAAbm237x5s9q0aaPz58/L19fXprUYhqEqVaromWeeUWRkpMW2fv36KTExUcuXL7fpOW3hVt87a7IBQxYBAACAIm7Pnj06dOiQmjRpoqSkJE2ePFmS9OCDD9q1roSEBH399deKi4uzePbYfwmBDAAAAPgPePvtt3X48GG5uLioYcOG+vHHH1WyZEmbHLtTp0768ccfc9z24osv6sUXX8xxm7+/v0qWLKmPPvpIxYsXt0kthQ2BDAAAACji6tevr927d+d7/9atW+tWdzp98sknunTpUo7b/Pz8brpfbndPzZ8/P0/1FWYEMgAAAAC35cZngCHvmGURAAAAAOyEQAYAAAAAdkIgAwAAAAA7IZABAAAAgJ0wqQcAAABwF4qNjdWZM2fu2PlKliypcuXK3bHz4RoCGQAAAHCXiY2NVfUaNXTp4sU7dk53Dw8dOniwSISyiRMnavny5YqJibF3KbkikAEAYEMm46ocTLd+rg4A5ObMmTO6dPGieo99S6XLVSrw852OPaaFb4zWmTNnCl0gM5lMWrZsmbp162ZeN2rUKA0fPtx+RVmBQAYAgI2YjAz12fO4Wj94UTIMyWSyd0kACrnS5SqpbJWa9i6j0ClWrJiKFStm7zLyhEk9AACwEZerKSpx6bjq+WdKmVftXQ4AFKjWrVvr2Wef1ZgxY+Tn56eAgABNnDjRvD0xMVEDBw5UqVKl5O3trfvuu0+//fabxTFee+01+fv7y8vLSwMHDtQLL7ygevXqmbfv3LlT7du3V8mSJeXj46NWrVrp119/NW+vUKGCJOmhhx6SyWQyL0+cONF8nHXr1snNzU2JiYkW537uued03333mZd/+ukn3XvvvXJ3d1dwcLCeffZZpaam3vZ1yg2BDAAAGzHpuqGKBsMWARR9CxYskKenp7Zv364333xTkydP1vr16yVJjz76qOLj47V69Wrt3r1bDRo0UNu2bXXu3DlJ0sKFCzVlyhS98cYb2r17t8qVK6c5c+ZYHP/ChQuKiIjQTz/9pG3btqlKlSq6//77deHCBUnXApskzZs3T6dOnTIvX69t27by9fXVt99+a16XkZGhxYsXq3fv3pKkY8eOqWPHjurevbv27t2rxYsX66efftKwYcNsf9FuwJBFAAAKBIEMQNFXp04dTZgwQZJUpUoVzZ49W1FRUXJ3d9eOHTsUHx8vV1dXSdLbb7+t5cuX65tvvtFTTz2l9957TwMGDFD//v0lSePHj9e6deuUkpJiPv71PViS9NFHH8nX11dbtmxRly5dVKpUKUmSr6+vAgICcqzR0dFRvXr10qJFizRgwABJUlRUlBITE9W9e3dJ0rRp09S7d2+NGDHC/F7effddtWrVSnPmzJGbm5uNrlh29JABAGAj9JAB+K+pU6eOxXJgYKDi4+P122+/KSUlRSVKlDDfz1WsWDEdP35cx44dkyQdPnxYTZo0sdj/xuXTp09r0KBBqlKlinx8fOTt7a2UlBTFxsZaVWfv3r21efNmnTx5UtK13rnOnTvL19dXkvTbb79p/vz5FrWGh4crMzNTx48ft+pc1qKHDACAAkEgA1D0OTs7WyybTCZlZmYqJSVFgYGB2rx5c7Z9skJQXkREROjs2bOaNWuWypcvL1dXV4WFhSk9Pd2qOhs3bqxKlSrp66+/1pAhQ7Rs2TLNnz/fvD0lJUVPP/20nn322Wz7FvSskwQyAABshV4xAJAkNWjQQHFxcXJycjJPtHGjatWqaefOnerbt6953Y33gP3888/64IMPdP/990uS/v7772wPy3Z2dlZGRkauNfXu3VsLFy5U2bJl5eDgoM6dO1vU+/vvv6ty5cp5fYs2Y9chi3PmzFGdOnXk7e0tb29vhYWFafXq1ebtrVu3lslksngNHjzY4hixsbHq3LmzPDw85O/vr9GjR+vqVcuZrTZv3qwGDRrI1dVVlStXtkjDWd5//31VqFBBbm5uatq0qXbs2FEg7xkAUHQxZBGArZ2OPaZ/jhwo8Nfp2GM2rbtdu3YKCwtTt27dtG7dOp04cUK//PKLXnrpJe3atUuSNHz4cH366adasGCBjhw5otdee0179+6V6bpHhlSpUkVffPGFDh48qO3bt6t3795yd3e3OFeFChUUFRWluLg4nT9//qY19e7dW7/++qumTJmiRx55xHxvmySNHTtWv/zyi4YNG6aYmBgdOXJEK1asKPqTepQtW1avv/66qlSpIsMwtGDBAj344IPas2ePata89ryFQYMGafLkyeZ9PDw8zF9nZGSoc+fOCggI0C+//KJTp06pb9++cnZ21tSpUyVJx48fV+fOnTV48GAtXLhQUVFRGjhwoAIDAxUeHi5JWrx4sSIjIzV37lw1bdpUM2fOVHh4uA4fPix/f/87eEUAAIWbcZOvAcA6JUuWlLuHhxa+MfqOndPdw0MlS5a0ybFMJpN++OEHvfTSS+rfv78SEhIUEBCgli1bqnTp0pKuBaQ///xTo0aN0uXLl9WjRw/169fPomPk008/1VNPPaUGDRooODhYU6dO1ahRoyzONX36dEVGRurjjz9WmTJldOLEiRxrqly5spo0aaIdO3Zo5syZFtvq1KmjLVu26KWXXtK9994rwzBUqVIl9ezZ0ybX41ZMhnF3fYTn5+ent956SwMGDFDr1q1Vr169bBcsy+rVq9WlSxedPHnS/I2dO3euxo4dq4SEBLm4uGjs2LFatWqV9u/fb96vV69eSkxM1Jo1ayRJTZs2VePGjTV79mxJUmZmpoKDgzV8+HC98MILOZ47LS1NaWlp5uXk5GQFBwcrKSlJ3t7etrgUAIBCJCCorCZ/vERP7ex0bcW4fyXXwvFQUgD2c/nyZR0/flwhISHZZvKLjY3NNjyvIJUsWbLA75fKTfv27RUQEKAvvvjCrnXkxa2+d8nJyfLx8clTNrhr7iHLyMjQ0qVLlZqaqrCwMPP6hQsX6ssvv1RAQIC6du2qV155xdxLFh0drdq1a5vDmCSFh4dryJAhOnDggOrXr6/o6Gi1a9fO4lzh4eHmKS3T09O1e/dujRs3zrzdwcFB7dq1U3R09E3rnTZtmiZNmmSLtw4AKJLuqs87ARRC5cqVs3tAKkgXL17U3LlzFR4eLkdHR3311VfasGGD+Tlm/xV2D2T79u1TWFiYLl++rGLFimnZsmUKDQ2VJD3++OMqX768goKCtHfvXo0dO1aHDx/Wd999J0mKi4uzCGOSzMtxcXG3bJOcnKxLly7p/PnzysjIyLHNoUOHblr3uHHjFBkZaV7O6iEDAPyH3V2DTgDgrpY1rHHKlCm6fPmyqlWrpm+//TZbZ0pRZ/dAVq1aNcXExCgpKUnffPONIiIitGXLFoWGhuqpp54yt6tdu7YCAwPVtm1bHTt2TJUqVbJj1ZKrq6vFjYAAAIhJPQAgz9zd3bVhwwZ7l2F3dn8wtIuLiypXrqyGDRtq2rRpqlu3rmbNmpVj26ZNm0qSjh49KkkKCAjQ6dOnLdpkLWc9qftmbby9veXu7q6SJUvK0dExxzY3e9o3AAA5MTGpBwDASnYPZDfKzMy0mCzjejExMZKuPQFcksLCwrRv3z7Fx8eb26xfv17e3t7mYY9hYWGKioqyOM769evN96m5uLioYcOGFm0yMzMVFRVlcS8bAAC5o4cMAGAduw5ZHDdunDp16qRy5crpwoULWrRokTZv3qy1a9fq2LFjWrRoke6//36VKFFCe/fu1ciRI9WyZUvVqVNHktShQweFhoaqT58+evPNNxUXF6eXX35ZQ4cONQ8nHDx4sGbPnq0xY8boySef1MaNG7VkyRKtWrXKXEdkZKQiIiLUqFEjNWnSRDNnzlRqaqr69+9vl+sCACgKCGQAgNzZNZDFx8erb9++OnXqlHx8fFSnTh2tXbtW7du3199//60NGzaYw1FwcLC6d++ul19+2by/o6OjVq5cqSFDhigsLEyenp6KiIiweG5ZSEiIVq1apZEjR2rWrFkqW7asPvnkE/MzyCSpZ8+eSkhI0Pjx4xUXF6d69eppzZo12Sb6AADgVkzXL9BDBgDIg7vuOWSFlTXPGgAAFD0BQWX12ocLNXD3A9dWjDkuefjZtygAd71bPcsKd7ci9xwyAAAKOxPDFAHY0H/xwdD/RQQyAABshkk9ANhGbGysatSorosXL92xc3p4uOvgwUN3RSjbvHmz2rRpo/Pnz8vX1/em7SpUqKARI0ZoxIgRd6w2WyOQAQBQIAhkAPLvzJkzunjxkr58sYdqlCtV4Oc7GJugJ6Yu0ZkzZ+6KQNa8eXPzPBOSNH/+fI0YMUKJiYkW7Xbu3ClPT087VGg7BDIAAGzERA8ZABurUa6UGlQtY+8y7jgXF5c8PRO4VKmCD6sF7a57DhkAAIUWGQzAf0jr1q01bNgwDRs2TD4+PipZsqReeeUVZc0ZeP78efXt21fFixeXh4eHOnXqpCNHjpj3/+uvv9S1a1cVL15cnp6eqlmzpn744QdJ14YsmkwmJSYmavPmzerfv7+SkpJkMplkMpk0ceJESdeGLM6cOVOS9Pjjj6tnz54WNV65ckUlS5bU559/Luna84anTZumkJAQubu7q27duvrmm28K+ErdGoEMAACbMW7yNQAUTQsWLJCTk5N27NihWbNm6Z133tEnn3wiSerXr5927dql77//XtHR0TIMQ/fff7+uXLkiSRo6dKjS0tK0detW7du3T2+88YaKFSuW7RzNmzfXzJkz5e3trVOnTunUqVMaNWpUtna9e/fW//73P6WkpJjXrV27VhcvXtRDDz0kSZo2bZo+//xzzZ07VwcOHNDIkSP1xBNPaMuWLQVxefKEIYsAABQEhiwC+A8IDg7WjBkzZDKZVK1aNe3bt08zZsxQ69at9f333+vnn39W8+bNJUkLFy5UcHCwli9frkcffVSxsbHq3r27ateuLUmqWLFijudwcXGRj4+PTCbTLYcxhoeHy9PTU8uWLVOfPn0kSYsWLdIDDzwgLy8vpaWlaerUqdqwYYPCwsLM5/zpp5/04YcfqlWrVra8NHlGDxkAADZioocMwH9Ms2bNZDKZzMthYWE6cuSIfv/9dzk5Oalp06bmbSVKlFC1atV08OBBSdKzzz6r1157Tffcc48mTJigvXv33lYtTk5O6tGjhxYuXChJSk1N1YoVK9S7d29J0tGjR3Xx4kW1b99exYoVM78+//xzHTt27LbOfVt12+3MAAAUOUzqAQB5NXDgQIWHh2vVqlVat26dpk2bpunTp2v48OH5Pmbv3r3VqlUrxcfHa/369XJ3d1fHjh0lyTyUcdWqVSpTxnKiFFdX1/y/kdtEDxkAADZiIoQB+I/Zvn27xfK2bdtUpUoVhYaG6urVqxbbz549q8OHDys0NNS8Ljg4WIMHD9Z3332n559/Xh9//HGO53FxcVFGRkau9TRv3lzBwcFavHixFi5cqEcffVTOzs6SpNDQULm6uio2NlaVK1e2eAUHB+fn7dsEPWQAABQIwhmA23cwNuGuPk9sbKwiIyP19NNP69dff9V7772n6dOnq0qVKnrwwQc1aNAgffjhh/Ly8tILL7ygMmXK6MEHH5QkjRgxQp06dVLVqlV1/vx5bdq0STVq1MjxPBUqVFBKSoqioqJUt25deXh4yMPDI8e2jz/+uObOnas//vhDmzZtMq/38vLSqFGjNHLkSGVmZqpFixZKSkrSzz//LG9vb0VEROTrGtwuAhkAAAWB3jIAt6FkyZLy8HDXE1OX3LFzeni4q2TJklbt07dvX126dElNmjSRo6OjnnvuOT311FOSpHnz5um5555Tly5dlJ6erpYtW+qHH34w91hlZGRo6NCh+ueff+Tt7a2OHTtqxowZOZ6nefPmGjx4sHr27KmzZ89qwoQJ5qnvb9S7d29NmTJF5cuX1z333GOx7dVXX1WpUqU0bdo0/fnnn/L19VWDBg304osvWvW+bclkGPyLYQvJycny8fFRUlKSvL297V0OAOAOCwgqqzfmfKqIPT2urRh5QPIpa9+iANz1Ll++rOPHjyskJERubm4W22JjY3XmzJk7VkvJkiVVrly5PLdv3bq16tWrZ34O2H/Nrb531mQDesgAALAZJvUAYDvlypWzKiChcGJSDwAAbMTEfWMAACvRQwYAgK0YPIcMwH/H5s2b7V1CkUAPGQAABYEhiwCAPCCQAQBQIAhkAPKOefYKH1t9zwhkAADYiIlJPQBYKWsK+IsXL9q5Elgr63uW9T3ML+4hAwDAZriHDIB1HB0d5evrq/j4eEmSh4eHTCaTnavCrRiGoYsXLyo+Pl6+vr5ydHS8reMRyAAAAAA7CggIkCRzKEPh4Ovra/7e3Q4CGQAANmIyGLIIwHomk0mBgYHy9/fXlStX7F0O8sDZ2fm2e8ayEMgAAACAu4Cjo6PN/shH4cGkHgAA2AiTegAArEUgAwDAZpjUAwBgHQIZAAAAANgJgQwAABthUg8AgLUIZAAA2AxDFgEA1iGQAQBQEOghAwDkAYEMAAAbMdFDBgCwEoEMAAAAAOyEQAYAgM0wqQcAwDoEMgAAbMRilkWGLAIA8oBABgCAzdBDBgCwDoEMAAAbMVksEcgAALkjkAEAUBDoIQMA5AGBDAAAmyGEAQCsY9dANmfOHNWpU0fe3t7y9vZWWFiYVq9ebd5++fJlDR06VCVKlFCxYsXUvXt3nT592uIYsbGx6ty5szw8POTv76/Ro0fr6tWrFm02b96sBg0ayNXVVZUrV9b8+fOz1fL++++rQoUKcnNzU9OmTbVjx44Cec8AgKKLST0AANayayArW7asXn/9de3evVu7du3SfffdpwcffFAHDhyQJI0cOVL/+9//tHTpUm3ZskUnT57Uww8/bN4/IyNDnTt3Vnp6un755RctWLBA8+fP1/jx481tjh8/rs6dO6tNmzaKiYnRiBEjNHDgQK1du9bcZvHixYqMjNSECRP066+/qm7dugoPD1d8fPyduxgAgELt3LlzWrrkq/+/giGLAIA8MBnG3fUvhp+fn9566y098sgjKlWqlBYtWqRHHnlEknTo0CHVqFFD0dHRatasmVavXq0uXbro5MmTKl26tCRp7ty5Gjt2rBISEuTi4qKxY8dq1apV2r9/v/kcvXr1UmJiotasWSNJatq0qRo3bqzZs2dLkjIzMxUcHKzhw4frhRdeyFPdycnJ8vHxUVJSkry9vW15SQAAhYCTi5sWvfO8epy59m+JntosBdW3a00AAPuwJhvcNfeQZWRk6Ouvv1ZqaqrCwsK0e/duXblyRe3atTO3qV69usqVK6fo6GhJUnR0tGrXrm0OY5IUHh6u5ORkcy9bdHS0xTGy2mQdIz09Xbt377Zo4+DgoHbt2pnb5CQtLU3JyckWLwDAfx3T3gMArGP3QLZv3z4VK1ZMrq6uGjx4sJYtW6bQ0FDFxcXJxcVFvr6+Fu1Lly6tuLg4SVJcXJxFGMvanrXtVm2Sk5N16dIlnTlzRhkZGTm2yTpGTqZNmyYfHx/zKzg4OF/vHwBQdJhybwIAgAW7B7Jq1aopJiZG27dv15AhQxQREaHff//d3mXlaty4cUpKSjK//v77b3uXBACwOyb1AABYx8neBbi4uKhy5cqSpIYNG2rnzp2aNWuWevbsqfT0dCUmJlr0kp0+fVoBAQGSpICAgGyzIWbNwnh9mxtnZjx9+rS8vb3l7u4uR0dHOTo65tgm6xg5cXV1laura/7eNACgSLLoISOPAQDywO49ZDfKzMxUWlqaGjZsKGdnZ0VFRZm3HT58WLGxsQoLC5MkhYWFad++fRazIa5fv17e3t4KDQ01t7n+GFltso7h4uKihg0bWrTJzMxUVFSUuQ0AANYjkQEAcmfXHrJx48apU6dOKleunC5cuKBFixZp8+bNWrt2rXx8fDRgwABFRkbKz89P3t7eGj58uMLCwtSsWTNJUocOHRQaGqo+ffrozTffVFxcnF5++WUNHTrU3Hs1ePBgzZ49W2PGjNGTTz6pjRs3asmSJVq1apW5jsjISEVERKhRo0Zq0qSJZs6cqdTUVPXv398u1wUAUEgZTOoBALCOXQNZfHy8+vbtq1OnTsnHx0d16tTR2rVr1b59e0nSjBkz5ODgoO7duystLU3h4eH64IMPzPs7Ojpq5cqVGjJkiMLCwuTp6amIiAhNnjzZ3CYkJESrVq3SyJEjNWvWLJUtW1affPKJwsPDzW169uyphIQEjR8/XnFxcapXr57WrFmTbaIPAABuxUSvGADASnfdc8gKK55DBgD/bU4ublo8/Tl1Pzv32ooB66XgJvYtCgBgF4XyOWQAABR+DFkEAFiHQAYAQIEgkAEAckcgAwDARiynvSeQAQByRyADAMBmCGEAAOsQyAAAsBGLHjLCGQAgDwhkAAAUBIYsAgDygEAGAIDNGDf5GgCAnBHIAACwERPT3gMArEQgAwDAVoybLgAAkCMCGQAANmIihAEArEQgAwCgIDBkEQCQBwQyAAAKBIEMAJA7AhkAADbDpB4AAOsQyAAAsBEeDA0AsBaBDAAAmyGEAQCsQyADAKAgMGQRAJAHBDIAAGyEIYsAAGsRyAAAsBkjxy8BALgZAhkAADZi+WBoEhkAIHcEMgAAAACwEwIZAAAFgUk9AAB5QCADAMBGTAZDFgEA1iGQAQBQEOghAwDkAYEMAACboYcMAGAdAhkAAAAA2AmBDAAAG7F4MDRDFgEAeUAgAwDAZhiyCACwDoEMAAAboYcMAGAtAhkAADZDDxkAwDoEMgAACgI9ZACAPCCQAQBgIyZ6xQAAViKQAQBQIAhnAIDcEcgAALAR0/XDFBmyCADIAwIZAAAFgkAGAMgdgQwAgIJADxkAIA8IZAAA2AwhDABgHQIZAAA2YvFgaMIZACAP7BrIpk2bpsaNG8vLy0v+/v7q1q2bDh8+bNGmdevWMplMFq/BgwdbtImNjVXnzp3l4eEhf39/jR49WlevXrVos3nzZjVo0ECurq6qXLmy5s+fn62e999/XxUqVJCbm5uaNm2qHTt22Pw9AwCKMib1AABYx66BbMuWLRo6dKi2bdum9evX68qVK+rQoYNSU1Mt2g0aNEinTp0yv958803ztoyMDHXu3Fnp6en65ZdftGDBAs2fP1/jx483tzl+/Lg6d+6sNm3aKCYmRiNGjNDAgQO1du1ac5vFixcrMjJSEyZM0K+//qq6desqPDxc8fHxBX8hAAAAAPwnmQzj7vkILyEhQf7+/tqyZYtatmwp6VoPWb169TRz5swc91m9erW6dOmikydPqnTp0pKkuXPnauzYsUpISJCLi4vGjh2rVatWaf/+/eb9evXqpcTERK1Zs0aS1LRpUzVu3FizZ8+WJGVmZio4OFjDhw/XCy+8kGvtycnJ8vHxUVJSkry9vW/nMgAACiEnFzetfrOv2icuvrbi4U+kOo/atygAgF1Ykw3uqnvIkpKSJEl+fn4W6xcuXKiSJUuqVq1aGjdunC5evGjeFh0drdq1a5vDmCSFh4crOTlZBw4cMLdp166dxTHDw8MVHR0tSUpPT9fu3bst2jg4OKhdu3bmNjdKS0tTcnKyxQsA8F9313zGCQAoJJzsXUCWzMxMjRgxQvfcc49q1aplXv/444+rfPnyCgoK0t69ezV27FgdPnxY3333nSQpLi7OIoxJMi/HxcXdsk1ycrIuXbqk8+fPKyMjI8c2hw4dyrHeadOmadKkSbf3pgEARYrJIpARzgAAubtrAtnQoUO1f/9+/fTTTxbrn3rqKfPXtWvXVmBgoNq2batjx46pUqVKd7pMs3HjxikyMtK8nJycrODgYLvVAwC4y9w9dwQAAO5id0UgGzZsmFauXKmtW7eqbNmyt2zbtGlTSdLRo0dVqVIlBQQEZJsN8fTp05KkgIAA83+z1l3fxtvbW+7u7nJ0dJSjo2OObbKOcSNXV1e5urrm/U0CAP5jCGQAgNzZ9R4ywzA0bNgwLVu2TBs3blRISEiu+8TExEiSAgMDJUlhYWHat2+fxWyI69evl7e3t0JDQ81toqKiLI6zfv16hYWFSZJcXFzUsGFDizaZmZmKiooytwEAIDcmpr0HAFjJrj1kQ4cO1aJFi7RixQp5eXmZ7/ny8fGRu7u7jh07pkWLFun+++9XiRIltHfvXo0cOVItW7ZUnTp1JEkdOnRQaGio+vTpozfffFNxcXF6+eWXNXToUHMP1uDBgzV79myNGTNGTz75pDZu3KglS5Zo1apV5loiIyMVERGhRo0aqUmTJpo5c6ZSU1PVv3//O39hAACFk3HTBQAAcmTXQDZnzhxJ16a2v968efPUr18/ubi4aMOGDeZwFBwcrO7du+vll182t3V0dNTKlSs1ZMgQhYWFydPTUxEREZo8ebK5TUhIiFatWqWRI0dq1qxZKlu2rD755BOFh4eb2/Ts2VMJCQkaP3684uLiVK9ePa1ZsybbRB8AANwcIQwAYJ276jlkhRnPIQOA/zYnFzete+Nx3Zf07bUVD34g1e9t36IAAHZRaJ9DBgBA0cHnnQCA3BHIAACwGSb1AABYh0AGAICN8GBoAIC1CGQAAAAAYCcEMgAACgJDFgEAeUAgAwDARhiyCACwFoEMAICCQA8ZACAPCGQAANgMPWQAAOsQyAAAsBETGQwAYCUCGQAABYEhiwCAPCCQAQBgMwxZBABYh0AGAICNmK5foIcMAJAHBDIAAGyGEAYAsA6BDAAAGzERyAAAViKQAQBQEBiyCADIAwIZAAAFgkAGAMgdgQwAABuxGLJIDxkAIA8IZAAAFAgCGQAgdwQyAABshh4yAIB1CGQAAAAAYCcEMgAAbMTiwdAMWQQA5AGBDAAAWzEYsggAsA6BDAAAG6GHDABgLQIZAAAFgR4yAEAe5CuQVaxYUWfPns22PjExURUrVrztogAAKJwIYQAA6+QrkJ04cUIZGRnZ1qelpenff/+97aIAACiMLB4MTTgDAOSBkzWNv//+e/PXa9eulY+Pj3k5IyNDUVFRqlChgs2KAwCg0GLIIgAgD6wKZN26dZMkmUwmRUREWGxzdnZWhQoVNH36dJsVBwBAYUIPGQDAWlYFsszMTElSSEiIdu7cqZIlSxZIUQAAFHr0kAEA8sCqQJbl+PHjtq4DAAAAAP5z8hXIJCkqKkpRUVGKj48395xl+eyzz267MAAACh+GLAIArJOvQDZp0iRNnjxZjRo1UmBgoEwmU+47AQBQxFn8a8iQRQBAHuQrkM2dO1fz589Xnz59bF0PAACFl0EPGQDAOvl6Dll6erqaN29u61oAACg6yGMAgDzIVyAbOHCgFi1aZOtaAAAo1BjADwCwVr6GLF6+fFkfffSRNmzYoDp16sjZ2dli+zvvvGOT4gAAKFwYsggAsE6+AtnevXtVr149SdL+/fsttjHBBwDgv8riwdBM6gEAyIN8BbJNmzbZug4AAIoYAhkAIHf5uofMVqZNm6bGjRvLy8tL/v7+6tatmw4fPmzR5vLlyxo6dKhKlCihYsWKqXv37jp9+rRFm9jYWHXu3FkeHh7y9/fX6NGjdfXqVYs2mzdvVoMGDeTq6qrKlStr/vz52ep5//33VaFCBbm5ualp06basWOHzd8zAOA/gh4yAEAe5KuHrE2bNrccmrhx48Y8HWfLli0aOnSoGjdurKtXr+rFF19Uhw4d9Pvvv8vT01OSNHLkSK1atUpLly6Vj4+Phg0bpocfflg///yzJCkjI0OdO3dWQECAfvnlF506dUp9+/aVs7Ozpk6dKkk6fvy4OnfurMGDB2vhwoWKiorSwIEDFRgYqPDwcEnS4sWLFRkZqblz56pp06aaOXOmwsPDdfjwYfn7++fnMgEA/mNM3EMGALCSyTCs/whv5MiRFstXrlxRTEyM9u/fr4iICM2aNStfxSQkJMjf319btmxRy5YtlZSUpFKlSmnRokV65JFHJEmHDh1SjRo1FB0drWbNmmn16tXq0qWLTp48qdKlS0u69py0sWPHKiEhQS4uLho7dqxWrVplcb9br169lJiYqDVr1kiSmjZtqsaNG2v27NmSpMzMTAUHB2v48OF64YUXstWalpamtLQ083JycrKCg4OVlJQkb2/vfL1/AEDh5eTipm1TO6pRyv8N6281Vmrzon2LAgDYRXJysnx8fPKUDfLVQzZjxowc10+cOFEpKSn5OaQkKSkpSZLk5+cnSdq9e7euXLmidu3amdtUr15d5cqVMwey6Oho1a5d2xzGJCk8PFxDhgzRgQMHVL9+fUVHR1scI6vNiBEjJF17rtru3bs1btw483YHBwe1a9dO0dHROdY6bdo0TZo0Kd/vFQBQFDGpBwDAOja9h+yJJ57QZ599lq99MzMzNWLECN1zzz2qVauWJCkuLk4uLi7y9fW1aFu6dGnFxcWZ21wfxrK2Z227VZvk5GRdunRJZ86cUUZGRo5tso5xo3HjxikpKcn8+vvvv/P1vgEARRWBDACQu3z1kN1MdHS03Nzc8rXv0KFDtX//fv3000+2LKnAuLq6ytXV1d5lAADuIhZ3V9NDBgDIg3wFsocffthi2TAMnTp1Srt27dIrr7xi9fGGDRumlStXauvWrSpbtqx5fUBAgNLT05WYmGjRS3b69GkFBASY29w4G2LWLIzXt7lxZsbTp0/L29tb7u7ucnR0lKOjY45tso4BAECuDCb1AABYJ19DFn18fCxefn5+at26tX744QdNmDAhz8cxDEPDhg3TsmXLtHHjRoWEhFhsb9iwoZydnRUVFWVed/jwYcXGxiosLEySFBYWpn379ik+Pt7cZv369fL29lZoaKi5zfXHyGqTdQwXFxc1bNjQok1mZqaioqLMbQAAyI2JEAYAsFK+esjmzZtnk5MPHTpUixYt0ooVK+Tl5WW+X8vHx0fu7u7y8fHRgAEDFBkZKT8/P3l7e2v48OEKCwtTs2bNJEkdOnRQaGio+vTpozfffFNxcXF6+eWXNXToUPOQwsGDB2v27NkaM2aMnnzySW3cuFFLlizRqlWrzLVERkYqIiJCjRo1UpMmTTRz5kylpqaqf//+NnmvAID/GIYsAgDy4LbuIdu9e7cOHjwoSapZs6bq169v1f5z5syRJLVu3dpi/bx589SvXz9J12Z0dHBwUPfu3ZWWlqbw8HB98MEH5raOjo5auXKlhgwZorCwMHl6eioiIkKTJ082twkJCdGqVas0cuRIzZo1S2XLltUnn3xifgaZJPXs2VMJCQkaP3684uLiVK9ePa1ZsybbRB8AAOQNgQwAkLt8PYcsPj5evXr10ubNm833diUmJqpNmzb6+uuvVapUKVvXedez5lkDAICix8nFTTuntFP91B+vrbhnhNSex6MAwH+RNdkgX/eQDR8+XBcuXNCBAwd07tw5nTt3Tvv371dycrKeffbZfBUNAEDRQg8ZACB3+RqyuGbNGm3YsEE1atQwrwsNDdX777+vDh062Kw4AAAKF0IYAMA6+eohy8zMlLOzc7b1zs7OyszMvO2iAAAojHgOGQDAWvkKZPfdd5+ee+45nTx50rzu33//1ciRI9W2bVubFQcAQOFFIAMA5C5fgWz27NlKTk5WhQoVVKlSJVWqVEkhISFKTk7We++9Z+saAQAoJK4LYfSQAQDyIF/3kAUHB+vXX3/Vhg0bdOjQIUlSjRo11K5dO5sWBwBAYWLKvQkAABas6iHbuHGjQkNDlZycLJPJpPbt22v48OEaPny4GjdurJo1a+rHH38sqFoBALjL0UMGALCOVYFs5syZGjRoUI5z6fv4+Ojpp5/WO++8Y7PiAAAAAKAosyqQ/fbbb+rYseNNt3fo0EG7d+++7aIAACiMTBa9YvSQAQByZ1UgO336dI7T3WdxcnJSQkLCbRcFAEChx5BFAEAeWBXIypQpo/379990+969exUYGHjbRQEAUBiZRA8ZAMA6VgWy+++/X6+88oouX76cbdulS5c0YcIEdenSxWbFAQBQaNFDBgDIA6umvX/55Zf13XffqWrVqho2bJiqVasmSTp06JDef/99ZWRk6KWXXiqQQgEAAACgqLEqkJUuXVq//PKLhgwZonHjxsn4v0//TCaTwsPD9f7776t06dIFUigAAHc/hiwCAKxj9YOhy5cvrx9++EHnz5/X0aNHZRiGqlSpouLFixdEfQAAFBoWD4ZmyCIAIA+sDmRZihcvrsaNG9uyFgAACjl6yAAA1rFqUg8AAHBz9JABAKxFIAMAAAAAOyGQAQBgMwxZBABYh0AGAICNmK4fpsiQRQBAHhDIAAAoEAQyAEDuCGQAABQEesgAAHlAIAMAwEZM9IoBAKxEIAMAoEAQzgAAuSOQAQBgM0zqAQCwDoEMAAAbsXgwND1kAIA8IJABAFAQyGMAgDwgkAEAYDM8GBoAYB0CGQAANmLKvQkAABYIZAAA2AyTegAArEMgAwDARkwMWQQAWIlABgBAQaCHDACQBwQyAABsxbjpAgAAOSKQAQBgIyZCGADASgQyAAAKAkMWAQB5QCADAMBmmNQDAGAdAhkAAAWBHjIAQB7YNZBt3bpVXbt2VVBQkEwmk5YvX26xvV+/fjKZTBavjh07WrQ5d+6cevfuLW9vb/n6+mrAgAFKSUmxaLN3717de++9cnNzU3BwsN58881stSxdulTVq1eXm5ubateurR9++MHm7xcAULRZPhiaQAYAyJ1dA1lqaqrq1q2r999//6ZtOnbsqFOnTplfX331lcX23r1768CBA1q/fr1WrlyprVu36qmnnjJvT05OVocOHVS+fHnt3r1bb731liZOnKiPPvrI3OaXX37RY489pgEDBmjPnj3q1q2bunXrpv3799v+TQMAijBCGADAOk72PHmnTp3UqVOnW7ZxdXVVQEBAjtsOHjyoNWvWaOfOnWrUqJEk6b333tP999+vt99+W0FBQVq4cKHS09P12WefycXFRTVr1lRMTIzeeecdc3CbNWuWOnbsqNGjR0uSXn31Va1fv16zZ8/W3LlzbfiOAQBFmUUPGUMWAQB5cNffQ7Z582b5+/urWrVqGjJkiM6ePWveFh0dLV9fX3MYk6R27drJwcFB27dvN7dp2bKlXFxczG3Cw8N1+PBhnT9/3tymXbt2FucNDw9XdHT0TetKS0tTcnKyxQsAgP+PQAYAyN1dHcg6duyozz//XFFRUXrjjTe0ZcsWderUSRkZGZKkuLg4+fv7W+zj5OQkPz8/xcXFmduULl3aok3Wcm5tsrbnZNq0afLx8TG/goODb+/NAgCKgOtCGD1kAIA8sOuQxdz06tXL/HXt2rVVp04dVapUSZs3b1bbtm3tWJk0btw4RUZGmpeTk5MJZQDwH2di2nsAgJXu6h6yG1WsWFElS5bU0aNHJUkBAQGKj4+3aHP16lWdO3fOfN9ZQECATp8+bdEmazm3Nje7d026dm+bt7e3xQsA8B9HBgMAWKlQBbJ//vlHZ8+eVWBgoCQpLCxMiYmJ2r17t7nNxo0blZmZqaZNm5rbbN26VVeuXDG3Wb9+vapVq6bixYub20RFRVmca/369QoLCyvotwQAKFIYsggAsI5dA1lKSopiYmIUExMjSTp+/LhiYmIUGxurlJQUjR49Wtu2bdOJEycUFRWlBx98UJUrV1Z4eLgkqUaNGurYsaMGDRqkHTt26Oeff9awYcPUq1cvBQUFSZIef/xxubi4aMCAATpw4IAWL16sWbNmWQw3fO6557RmzRpNnz5dhw4d0sSJE7Vr1y4NGzbsjl8TAEBRQSADAOTOroFs165dql+/vurXry9JioyMVP369TV+/Hg5Ojpq7969euCBB1S1alUNGDBADRs21I8//ihXV1fzMRYuXKjq1aurbdu2uv/++9WiRQuLZ4z5+Pho3bp1On78uBo2bKjnn39e48ePt3hWWfPmzbVo0SJ99NFHqlu3rr755hstX75ctWrVunMXAwBQ6DHtPQDAWibD4F8MW0hOTpaPj4+SkpK4nwwA/oOcXNx0ZFJdhaQduraiehep10L7FgUAsAtrskGhuocMAIC7GT1kAABrEcgAALAZQhgAwDoEMgAACgThDACQOwIZAAA2YmLaewCAlQhkAAAUCAIZACB3BDIAAGyEHjIAgLUIZAAAAABgJwQyAAAKBD1kAIDcEcgAALAVgyGLAADrEMgAALARiwdD00MGAMgDAhkAADZDDxkAwDoEMgAAAACwEwIZAAA2wpBFAIC1CGQAANgMQxYBANYhkAEAYCMWD4amhwwAkAcEMgAACgI9ZACAPCCQAQBQIAhkAIDcEcgAALAREyEMAGAlAhkAAAWBIYsAgDwgkAEAYCuEMACAlQhkAADYiMVzyAhnAIA8IJABAFAgCGQAgNwRyAAAsBlCGADAOgQyAABshCGLAABrEcgAALAZ4yZfAwCQMwIZAAAFgR4yAEAeEMgAALAREz1kAAArEcgAAAAAwE4IZAAA2Mx1vWIMWQQA5AGBDAAAG7GYZZEhiwCAPCCQAQBQEOghAwDkAYEMAACbYVIPAIB1CGQAANiIiQwGALASgQwAAJthUg8AgHUIZAAA2AiTegAArEUgAwCgINBDBgDIAwIZAAA2w6QeAADr2DWQbd26VV27dlVQUJBMJpOWL19usd0wDI0fP16BgYFyd3dXu3btdOTIEYs2586dU+/eveXt7S1fX18NGDBAKSkpFm327t2re++9V25ubgoODtabb76ZrZalS5eqevXqcnNzU+3atfXDDz/Y/P0CAIo2E/eQAQCsZNdAlpqaqrp16+r999/Pcfubb76pd999V3PnztX27dvl6emp8PBwXb582dymd+/eOnDggNavX6+VK1dq69ateuqpp8zbk5OT1aFDB5UvX167d+/WW2+9pYkTJ+qjjz4yt/nll1/02GOPacCAAdqzZ4+6deumbt26af/+/QX35gEAAAD855kM4+74CM9kMmnZsmXq1q2bpGu9Y0FBQXr++ec1atQoSVJSUpJKly6t+fPnq1evXjp48KBCQ0O1c+dONWrUSJK0Zs0a3X///frnn38UFBSkOXPm6KWXXlJcXJxcXFwkSS+88IKWL1+uQ4cOSZJ69uyp1NRUrVy50lxPs2bNVK9ePc2dOzdP9ScnJ8vHx0dJSUny9va21WUBABQSTi5uOj2+nEpcPX1tRUBtafBP9i0KAGAX1mSDu/YesuPHjysuLk7t2rUzr/Px8VHTpk0VHR0tSYqOjpavr685jElSu3bt5ODgoO3bt5vbtGzZ0hzGJCk8PFyHDx/W+fPnzW2uP09Wm6zz5CQtLU3JyckWLwDAf52R45cAANzMXRvI4uLiJEmlS5e2WF+6dGnztri4OPn7+1tsd3Jykp+fn0WbnI5x/Tlu1iZre06mTZsmHx8f8ys4ONjatwgAKGKY9h4AYK27NpDd7caNG6ekpCTz6++//7Z3SQAAu2NSDwCAde7aQBYQECBJOn36tMX606dPm7cFBAQoPj7eYvvVq1d17tw5izY5HeP6c9ysTdb2nLi6usrb29viBQD4bzORwQAAVrprA1lISIgCAgIUFRVlXpecnKzt27crLCxMkhQWFqbExETt3r3b3Gbjxo3KzMxU06ZNzW22bt2qK1eumNusX79e1apVU/Hixc1trj9PVpus8wAAYD3SGQAgd3YNZCkpKYqJiVFMTIykaxN5xMTEKDY2ViaTSSNGjNBrr72m77//Xvv27VPfvn0VFBRknomxRo0a6tixowYNGqQdO3bo559/1rBhw9SrVy8FBQVJkh5//HG5uLhowIABOnDggBYvXqxZs2YpMjLSXMdzzz2nNWvWaPr06Tp06JAmTpyoXbt2adiwYXf6kgAACjWGLAIArONkz5Pv2rVLbdq0MS9nhaSIiAjNnz9fY8aMUWpqqp566iklJiaqRYsWWrNmjdzc3Mz7LFy4UMOGDVPbtm3l4OCg7t2769133zVv9/Hx0bp16zR06FA1bNhQJUuW1Pjx4y2eVda8eXMtWrRIL7/8sl588UVVqVJFy5cvV61ate7AVQAAFBVM6gEAsNZd8xyywo7nkAHAf5uTi5vOvBIk34yz11aUrCYN22HfogAAdlEknkMGAEBhY6JXDABgJQIZAAAFgnAGAMgdgQwAgILAHQEAgDwgkAEAYDPGTb4GACBnBDIAAGzEYpZFesgAAHlAIAMAwGYIYQAA6xDIAAAoEIQzAEDuCGQAANgIQxYBANYikAEAYCsGk3oAAKxDIAMAwEboIQMAWItABgBAgSCQAQByRyADAMBmCGEAAOsQyAAAsBHT9YGMbAYAyAMCGQAABYJEBgDIHYEMAACbub6HjEAGAMgdgQwAgAJBIAMA5I5ABgCAjZhybwIAgAUCGQAANsOQRQCAdQhkAADYiGUPGYEMAJA7AhkAALZi0EMGALAOgQwAgAJBIAMA5I5ABgCAjTCpBwDAWgQyAABshiGLAADrEMgAALAZ4yZfAwCQMwIZAAAFgR4yAEAeEMgAALARpr0HAFiLQAYAgM1wDxkAwDoEMgAAbIRZFgEA1iKQAQBgM0zqAQCwDoEMAICCwJBFAEAeEMgAALARJvUAAFiLQAYAgM0YOX4JAMDNEMgAALAREyEMAGAlAhkAADbDpB4AAOsQyAAAKAhM6gEAyAMCGQAANkMPGQDAOgQyAABsxGKWRXrIAAB5QCADAMBmCGEAAOvc1YFs4sSJMplMFq/q1aubt1++fFlDhw5ViRIlVKxYMXXv3l2nT5+2OEZsbKw6d+4sDw8P+fv7a/To0bp69apFm82bN6tBgwZydXVV5cqVNX/+/Dvx9gAARRrhDACQu7s6kElSzZo1derUKfPrp59+Mm8bOXKk/ve//2np0qXasmWLTp48qYcffti8PSMjQ507d1Z6erp++eUXLViwQPPnz9f48ePNbY4fP67OnTurTZs2iomJ0YgRIzRw4ECtXbv2jr5PAEDhx5BFAIC1nOxdQG6cnJwUEBCQbX1SUpI+/fRTLVq0SPfdd58kad68eapRo4a2bdumZs2aad26dfr999+1YcMGlS5dWvXq1dOrr76qsWPHauLEiXJxcdHcuXMVEhKi6dOnS5Jq1Kihn376STNmzFB4ePhN60pLS1NaWpp5OTk52cbvHABQ+DCpBwDAOnd9D9mRI0cUFBSkihUrqnfv3oqNjZUk7d69W1euXFG7du3MbatXr65y5copOjpakhQdHa3atWurdOnS5jbh4eFKTk7WgQMHzG2uP0ZWm6xj3My0adPk4+NjfgUHB9vk/QIACi96yAAA1rqrA1nTpk01f/58rVmzRnPmzNHx48d177336sKFC4qLi5OLi4t8fX0t9ildurTi4uIkSXFxcRZhLGt71rZbtUlOTtalS5duWtu4ceOUlJRkfv3999+3+3YBAIWciV4xAICV7uohi506dTJ/XadOHTVt2lTly5fXkiVL5O7ubsfKJFdXV7m6utq1BgDA3YxwBgDI3V3dQ3YjX19fVa1aVUePHlVAQIDS09OVmJho0eb06dPme84CAgKyzbqYtZxbG29vb7uHPgBAIcaQRQBAHhSqQJaSkqJjx44pMDBQDRs2lLOzs6KioszbDx8+rNjYWIWFhUmSwsLCtG/fPsXHx5vbrF+/Xt7e3goNDTW3uf4YWW2yjgEAQP4QyAAAuburA9moUaO0ZcsWnThxQr/88oseeughOTo66rHHHpOPj48GDBigyMhIbdq0Sbt371b//v0VFhamZs2aSZI6dOig0NBQ9enTR7/99pvWrl2rl19+WUOHDjUPNxw8eLD+/PNPjRkzRocOHdIHH3ygJUuWaOTIkfZ86wCAQsZ04wp6yAAAeXBX30P2zz//6LHHHtPZs2dVqlQptWjRQtu2bVOpUqUkSTNmzJCDg4O6d++utLQ0hYeH64MPPjDv7+joqJUrV2rIkCEKCwuTp6enIiIiNHnyZHObkJAQrVq1SiNHjtSsWbNUtmxZffLJJ7ec8h4AgBuZsicye5QBAChkTIbBR3i2kJycLB8fHyUlJcnb29ve5QAA7jAXVzelj7tusieTgzThvP0KAgDYjTXZ4K7uIQMAoLDI6iC7bDhLktx01X7FAAAKjbv6HjIAAAoLk0lKNxxVP+1DNU97T5mMPwEA5AE9ZAAA2IBJ0r9GKV2Smy7JTWlyFg9PAQDkhh4yAABswGSSMq77ZzVdzsy0CADIFYEMAAAbuSJH89dpDEIBAOQBgQwAABswSbqk/z/LIj1kAIC8IJABAGADJpN0ybgukBlO4llkAIDcEMgAALABesgAAPlBIAMAwEYuWgQyesgAALkjkAEAYAPZhizK2Y7VAAAKCwIZAAA2cG3Ioot5Od1wYsgiACBXBDIAAGzAZLIcspgmZzFkEQCQGwIZAAA2YJJ0yXAzLzOpBwAgLwhkAADYiMWQRSb1AADkAYEMAAAbyHnIIgAAt0YgAwDABq4NWbz+wdAMWQQA5I5ABgCADdzYQ5YuJ7Vs0cyOFQEACgMCGQAANnBt2nvL55DFx8XZryAAQKFAIAMAwEYsHwztJJPJjsUAAAoFAhkAADaQbcii4SzyGAAgNwQyAABs4MYhi2lysl8xAIBCg0AGAIANmEw3DlmkhwwAkDsCGQAANnLxhkk9uIcMAJAbAhkAADZwbciii3k5XU70kAEAckUgAwDABkwODkq/PpAZziKRAQByQyADAMAGTE6uFsvpTOoBAMgDAhkAADZwYyBLY1IPAEAeEMgAALAFZ3eLRWZZBADkBYEMAAAbMBUrYbGcbjgxyyIAIFcEMgAAbMBUrKTFMkMWAQB5QSADAMAGTF7XesgCdE4Sk3oAAPKGQAYAgA2YPEtJkso7xEm6dg+Zr6thz5IAAIUAgQwAAFv4vyGLFUynJV0LZOW9CWQAgFsjkAEAYAs3BjLDSSE+BDIAwK0RyAAAuE2GYUieOfSQEcgAALkgkAEAcJuSL12VXK49h6ycQ1Ygc1IFhiwCAHJBIAMA4Db9eSZFklRcF+RluiTpWg8ZQxYBALkhkN3g/fffV4UKFeTm5qamTZtqx44d9i4JAHCXW7Lrb0lSM4ff5aKrkqQrclKQp6Sr6XasDABwtyOQXWfx4sWKjIzUhAkT9Ouvv6pu3boKDw9XfHy8vUsDANyljiWk6Ltf/5UkPem0Ri66Yt6W4eAkrRwpXTwnZVy52SEAAP9hJsMwGE/xf5o2barGjRtr9uzZkqTMzEwFBwdr+PDheuGFF265b3Jysnx8fJSUlCRvb+87US4AFDl//fmHPlm7UyVcr8rNIT//POWyzw3/5GUYJiVfdVDyFUeVcMmQp1OGDEmnLzvLkFTC5aocTNc+vTSZDJkMKemqo7af89DRFFfV8bmkXxM9dCnDQQGpfyjab6JSTZ6qdfljSdIIx6VyM2UFMQfJO0jyLSc5uUomkySTZHK49t/r30NqgnQ5SXJ0ufZycvn/Xzs639A+v/Jwfe/Ynwh5qcVGx8mTolnP0/0HyuToePvlAMiVNdnA6Q7VdNdLT0/X7t27NW7cOPM6BwcHtWvXTtHR0dnap6WlKS0tzbyclJQk6drFBwDkz77f92vBHy6SXOxdSh6k6cdUB0mX1cThoF73/FgX0g2lSLqacl4Ozq56R50td0mVdCovx/a0ebVAr6RkOTgRyIA7ISsT5KXvi0D2f86cOaOMjAyVLl3aYn3p0qV16NChbO2nTZumSZMmZVsfHBxcYDUCAO5Of0v61rx0QVIfu9UC3EzxmfauAPjvuXDhgnx8fG7ZhkCWT+PGjVNkZKR5OTMzU+fOnVOJEiVkMtliKMn/l5ycrODgYP39998MhyxgXOs7h2t9Z3G97xyu9Z3Dtb5zuNZ3Dtf6zinIa20Yhi5cuKCgoKBc2xLI/k/JkiXl6Oio06dPW6w/ffq0AgICsrV3dXWVq6urxTpfX9+CLFHe3t78Yt4hXOs7h2t9Z3G97xyu9Z3Dtb5zuNZ3Dtf6zimoa51bz1gWZln8Py4uLmrYsKGioqLM6zIzMxUVFaWwsDA7VgYAAACgqKKH7DqRkZGKiIhQo0aN1KRJE82cOVOpqanq37+/vUsDAAAAUAQRyK7Ts2dPJSQkaPz48YqLi1O9evW0Zs2abBN93Gmurq6aMGFCtiGSsD2u9Z3Dtb6zuN53Dtf6zuFa3zlc6zuHa33n3C3XmueQAQAAAICdcA8ZAAAAANgJgQwAAAAA7IRABgAAAAB2QiADAAAAADshkBViaWlpqlevnkwmk2JiYuxdTpH0wAMPqFy5cnJzc1NgYKD69OmjkydP2rusIufEiRMaMGCAQkJC5O7urkqVKmnChAlKT0+3d2lF0pQpU9S8eXN5eHgU+APt/2vef/99VahQQW5ubmratKl27Nhh75KKpK1bt6pr164KCgqSyWTS8uXL7V1SkTRt2jQ1btxYXl5e8vf3V7du3XT48GF7l1VkzZkzR3Xq1DE/pDgsLEyrV6+2d1lF3uuvvy6TyaQRI0bYrQYCWSE2ZswYBQUF2buMIq1NmzZasmSJDh8+rG+//VbHjh3TI488Yu+yipxDhw4pMzNTH374oQ4cOKAZM2Zo7ty5evHFF+1dWpGUnp6uRx99VEOGDLF3KUXK4sWLFRkZqQkTJujXX39V3bp1FR4ervj4eHuXVuSkpqaqbt26ev/99+1dSpG2ZcsWDR06VNu2bdP69et15coVdejQQampqfYurUgqW7asXn/9de3evVu7du3SfffdpwcffFAHDhywd2lF1s6dO/Xhhx+qTp06dq2Dae8LqdWrVysyMlLffvutatasqT179qhevXr2LqvI+/7779WtWzelpaXJ2dnZ3uUUaW+99ZbmzJmjP//8096lFFnz58/XiBEjlJiYaO9SioSmTZuqcePGmj17tiQpMzNTwcHBGj58uF544QU7V1d0mUwmLVu2TN26dbN3KUVeQkKC/P39tWXLFrVs2dLe5fwn+Pn56a233tKAAQPsXUqRk5KSogYNGuiDDz7Qa6+9pnr16mnmzJl2qYUeskLo9OnTGjRokL744gt5eHjYu5z/jHPnzmnhwoVq3rw5YewOSEpKkp+fn73LAPIkPT1du3fvVrt27czrHBwc1K5dO0VHR9uxMsB2kpKSJIn/N98BGRkZ+vrrr5WamqqwsDB7l1MkDR06VJ07d7b4/7a9EMgKGcMw1K9fPw0ePFiNGjWydzn/CWPHjpWnp6dKlCih2NhYrVixwt4lFXlHjx7Ve++9p6efftrepQB5cubMGWVkZKh06dIW60uXLq24uDg7VQXYTmZmpkaMGKF77rlHtWrVsnc5Rda+fftUrFgxubq6avDgwVq2bJlCQ0PtXVaR8/XXX+vXX3/VtGnT7F2KJALZXeOFF16QyWS65evQoUN67733dOHCBY0bN87eJRdaeb3WWUaPHq09e/Zo3bp1cnR0VN++fcVI37yx9lpL0r///quOHTvq0Ucf1aBBg+xUeeGTn2sNAHk1dOhQ7d+/X19//bW9SynSqlWrppiYGG3fvl1DhgxRRESEfv/9d3uXVaT8/fffeu6557Rw4UK5ubnZuxxJ3EN210hISNDZs2dv2aZixYrq0aOH/ve//8lkMpnXZ2RkyNHRUb1799aCBQsKutRCL6/X2sXFJdv6f/75R8HBwfrll18YQpAH1l7rkydPqnXr1mrWrJnmz58vBwc+M8qr/Pxccw+Z7aSnp8vDw0PffPONxb1MERERSkxMpGe9AHEPWcEbNmyYVqxYoa1btyokJMTe5fyntGvXTpUqVdKHH35o71KKjOXLl+uhhx6So6OjeV1GRoZMJpMcHByUlpZmse1OcLqjZ8NNlSpVSqVKlcq13bvvvqvXXnvNvHzy5EmFh4dr8eLFatq0aUGWWGTk9VrnJDMzU9K1Rw4gd9Zc63///Vdt2rRRw4YNNW/ePMKYlW7n5xq3z8XFRQ0bNlRUVJQ5GGRmZioqKkrDhg2zb3FAPhmGoeHDh2vZsmXavHkzYcwOMjMz+ZvDxtq2bat9+/ZZrOvfv7+qV6+usWPH3vEwJhHICp1y5cpZLBcrVkySVKlSJZUtW9YeJRVZ27dv186dO9WiRQsVL15cx44d0yuvvKJKlSrRO2Zj//77r1q3bq3y5cvr7bffVkJCgnlbQECAHSsrmmJjY3Xu3DnFxsYqIyPD/BzDypUrm/+fAutFRkYqIiJCjRo1UpMmTTRz5kylpqaqf//+9i6tyElJSdHRo0fNy8ePH1dMTIz8/Pyy/TuJ/Bs6dKgWLVqkFStWyMvLy3w/pI+Pj9zd3e1cXdEzbtw4derUSeXKldOFCxe0aNEibd68WWvXrrV3aUWKl5dXtvsgs+YKsNf9kQQy4CY8PDz03XffacKECUpNTVVgYKA6duyol19+Wa6urvYur0hZv369jh49qqNHj2b7YIFR1bY3fvx4i+HN9evXlyRt2rRJrVu3tlNVhV/Pnj2VkJCg8ePHKy4uTvXq1dOaNWuyTfSB27dr1y61adPGvBwZGSnp2hDR+fPn26mqomfOnDmSlO3/C/PmzVO/fv3ufEFFXHx8vPr27atTp07Jx8dHderU0dq1a9W+fXt7l4YCxj1kAAAAAGAn3KQBAAAAAHZCIAMAAAAAOyGQAQAAAICdEMgAAAAAwE4IZAAAAABgJwQyAAAAALATAhkAAAAA2AmBDAAAAMB/ztatW9W1a1cFBQXJZDJp+fLlVu0/ceJEmUymbC9PT0+rjkMgA4Ai7NNPP1WHDh3sXYZVrl69qj59+sjPz08VK1bMtf2JEyfk6OiooKAgvfbaa3egwv+m+fPny9fX195l3LYNGzYoNDRULi4umj9/fq7t+/fvL09PT91zzz06evRotu2///67ypYtq9TU1AKoFkBBSk1NVd26dfX+++/na/9Ro0bp1KlTFq/Q0FA9+uijVh2HQAYABSQuLk7PPfecKleuLDc3N5UuXVr33HOP5syZo4sXLxb4+S9fvqxXXnlFEyZMyLbtn3/+kYuLi2rVqpVt24kTJ2QymRQTE5NtW+vWrTVixAjzcoUKFWQymfT1119na1uzZk2ZTKY8/dF7vc2bN+vLL7/UZ599pujo6FzrCg4O1okTJzR06FCNHz9eZ86csep8+bF58+YcPxU1mUyKi4sr8PPnlb1C1NNPPy1HR0ctXbo027Z+/fqpW7du2dZnXdPExERJ12o3mUyqUaNGtrZLly6VyWRShQoVrK5t4sSJKlu2rA4ePKiePXvmWtfMmTP1yy+/KC4uTu+++2627aGhoWrWrJneeecdq2sBYF+dOnXSa6+9poceeijH7WlpaRo1apTKlCkjT09PNW3aVJs3bzZvL1asmAICAsyv06dP6/fff9eAAQOsqoNABgAF4M8//1T9+vW1bt06TZ06VXv27FF0dLTGjBmjlStXasOGDQVewzfffCNvb2/dc8892bbNnz9fPXr0UHJysrZv335b5wkODta8efMs1m3btk1xcXFWD9uQpJMnT8rT01PdunVT6dKlc23v6Oio4OBg9ejRQ4Zh6NSpU1afM78OHz6c7dNRf3//O3b+u9HFixf19ddfa8yYMfrss89u61ienp6Kj4+3CObStZ7fcuXK5euYJ0+eVIcOHVSpUiW5u7vn2t7Hx0d169ZVs2bN9O+//+bYpn///pozZ46uXr2ar5oA3J2GDRum6Ohoff3119q7d68effRRdezYUUeOHMmx/SeffKKqVavq3nvvteo8BDIAKADPPPOMnJyctGvXLvXo0UM1atRQxYoV9eCDD2rVqlXq2rWrue0777yj2rVry9PTU8HBwXrmmWeUkpJi3p7Vy7F8+XJVqVJFbm5uCg8P199//33LGr7++muL82QxDEPz5s1Tnz599Pjjj+vTTz+9rffau3dvbdmyxaKezz77TL1795aTk5PVx8vMzMxxv5CQEElS/fr1ZTKZ1Lp1a4vtzs7OkqSMjAyrz5lf/v7+Fp+OBgQEyMHBQZcvX1bNmjX11FNPmdseO3ZMXl5e5pCS1+/rihUr1KBBA7m5ualixYqaNGmSxR/+iYmJevrpp1W6dGm5ubmpVq1aWrlypTZv3qz+/fsrKSnJ3Hs3ceJESbl/6ptVX7ly5eTh4aGHHnpIZ8+ezdM1Wbp0qUJDQ/XCCy9o69atuf6c3oqTk5Mef/xxi2D3zz//aPPmzXr88cfzdcycfr4mTpyoBQsWaMWKFeZrdeP1cHZ2vunPVvv27XXu3Dlt2bIlXzUBuPvExsZq3rx5Wrp0qe69915VqlRJo0aNUosWLbJ9CCldG5WycOFCq3vHJAIZANjc2bNntW7dOg0dOvSmPUQmk8n8tYODg959910dOHBACxYs0MaNGzVmzBiL9hcvXtSUKVP0+eef6+eff1ZiYqJ69ep1yzp++uknNWrUKNv6TZs26eLFi2rXrp2eeOIJff3117d1/0vp0qUVHh6uBQsWmGtdvHixnnzyyXwd7/Lly+Zwdb0dO3ZIunYP0KlTp/Tdd99ZbM/aJy0tLV/ntSU3NzctXLjQ/Ed+RkaGnnjiCbVv397iuuT2ff3xxx/Vt29fPffcc/r999/14Ycfav78+ZoyZYqka+GiU6dO+vnnn/Xll1/q999/1+uvvy5HR0c1b95cM2fOlLe3t7n3btSoUZJy/9R3+/btGjBggIYNG6aYmBi1adMmz/fnffrpp3riiSfk4+OjTp06WT1k9UZPPvmklixZYh7mO3/+fHXs2DFPvac5yenna9SoUerRo4c6duxovlbNmze3aOPs7HzTny0XFxfVq1dPP/74Y75qAnD32bdvnzIyMlS1alUVK1bM/NqyZYuOHTuWrf2yZct04cIFRUREWH8yAwBgU9u2bTMkGd99953F+hIlShienp6Gp6enMWbMmJvuv3TpUqNEiRLm5Xnz5hmSjG3btpnXHTx40JBkbN++PcdjnD9/3pBkbN26Ndu2xx9/3BgxYoR5uW7dusa8efPMy8ePHzckGXv27Mm2b6tWrYznnnvOvFy+fHljxowZxvLly41KlSoZmZmZxoIFC4z69esbhmEYPj4+FsfOTUpKihEeHm60aNEi27Zb1WUYhpGenm74+PgYzz//vHH16tU8nzM/Nm3aZEgyfz+zXqGhoRbt3nzzTaNkyZLGsGHDjMDAQOPMmTPmbXn5vrZt29aYOnWqxTG/+OILIzAw0DAMw1i7dq3h4OBgHD58OMc6582bZ/j4+Fis++uvvwxHR0fj33//tVjftm1bY9y4cYZhGMZjjz1m3H///Rbbe/bsme1YN/rjjz8MZ2dnIyEhwTAMw1i2bJkREhJiZGZmmttEREQYDz74YLZ9s67p+fPns9Ver149Y8GCBUZmZqZRqVIlY8WKFcaMGTOM8uXL37KeG61fv96QZGzYsCHbtpvVleXNN980/Pz8jGPHjuW4/aGHHjL69etnVT0A7h6SjGXLlpmXv/76a8PR0dE4dOiQceTIEYvXqVOnsu1/3333Gd26dcvXuekhA4A7ZMeOHYqJiVHNmjUtPmnfsGGD2rZtqzJlysjLy0t9+vTR2bNnLSb+cHJyUuPGjc3L1atXl6+vrw4ePJjjuS5duiTpWk/N9RITE/Xdd9/piSeeMK974oknbnvYYufOnZWSkqKtW7fqs88+y1fv2NSpU+Xl5aWYmBjNmTPH6v2dnZ21YMECvf/++3Jzc7tlb8WhQ4duOilH1uuFF17I9Zw//vijYmJizK8ffvjBYvvzzz+vqlWravbs2frss89UokQJi+25fV9/++03TZ482eLT2UGDBunUqVO6ePGiYmJiVLZsWVWtWjXP1ykvn/oePHhQTZs2tdgvLCws12N/9tlnCg8PV8mSJSVJ999/v5KSkrRx48Y815eTJ598UvPmzdOWLVuUmpqq+++/3+pjuLm5qX379nrmmWfUtm1bq/d/9tlnVadOHVWqVEkdO3bMtt3d3f2OTNYD4M6oX7++MjIyFB8fr8qVK1u8AgICLNoeP35cmzZtytdwRUmyfnA/AOCWKleuLJPJpMOHD1usz5rC/fqJBE6cOKEuXbpoyJAhmjJlivz8/PTTTz9pwIABSk9Pl4eHR75qKFGihEwmk86fP2+xftGiRbp8+bLFH9uGYSgzM1N//PGHqlatKm9vb0lSUlJStuMmJibKx8cn23onJyf16dNHEyZM0Pbt27Vs2TKrax48eLDatGmjZ555RhMmTNC3335r1f6ZmZmKjIxU586d9corr9wypFSsWPGmYTbLjeEpJyEhIbecxTA+Pl5//PGHHB0ddeTIkRz/kL+VlJQUTZo0SQ8//HC2bW5ubnmalCKnYzo6Omr37t1ydHS02FasWDGrj5clIyNDCxYsUFxcnMU9WhkZGfrss8/MIcjb21t//fVXtv0TExPl6OiY4zDf3r17a8yYMZo4caL69OmTr3sT9+zZo9WrV2vMmDEaNGiQ6tWrZ9X+X331lbZt26Zly5blOBT43LlzqlSpktV1AbCflJQUi8dZHD9+XDExMfLz81PVqlXVu3dv9e3bV9OnT1f9+vWVkJCgqKgo1alTR507dzbv99lnnykwMFCdOnXKVx30kAGAjZUoUULt27fX7Nmzc703a/fu3crMzNT06dPVrFkzVa1aVSdPnszW7urVq9q1a5d5+fDhw0pMTMxxSnDp2j0toaGh+v333y3Wf/rpp3r++ectenV+++033XvvveaJE/z8/FSyZEnt3r3bYt/k5GQdPXr0pkHnySef1JYtW/Tggw+qePHit3zfOfHz81NYWJiefPJJ/fzzzzm+J+nmk3acPn1af/75p0aMGKG6deveMqy4uLioevXqt3yVKlXK6vdwoyeffFK1a9fWggULNHbs2GwhMLfva4MGDXT48OFsn85WrlxZDg4OqlOnjv755x/98ccfN32fN16vvHzqW6NGjWyzb27btu2W7/WHH37QhQsXtGfPHoufr6+++krfffedeTr7atWq6cCBA9nux/r1118VEhKS4/2Dfn5+euCBB7Rly5Z835tYo0YNRUZGysfHJ8f3ktO1ul50dLTuuecedevWTWXLls22ff/+/apfv36+agNgH7t27VL9+vXNv7uRkZGqX7++xo8fL0maN2+e+vbtq+eff17VqlVTt27dtHPnTotZXjMzMzV//nz169cv24dceZbPYZYAgFs4evSoUbp0aaN69erG119/bfz+++/GoUOHjC+++MIoXbq0ERkZaRiGYcTExBiSjJkzZxrHjh0zPv/8c6NMmTLZ7qVxdnY2mjRpYmzbts3YtWuX0axZM6NZs2a3rCEyMtLo3r27eXnPnj2GJOPgwYPZ2n7wwQdGQECAceXKFcMwDGPq1KlGiRIljC+//NI4evSosX37dqNLly5GhQoVjIsXL5r3y7qHLMuZM2cstlt7D1nW+83pXqUrV64Y7u7uxmuvvWbExcUZiYmJFttzu8fMlrLudzp8+LBx6tQpi1d6erphGIYxe/Zsw9fX14iNjTUM49p9WfXr1zfS0tIMw8jb93XNmjWGk5OTMXHiRGP//v3G77//bnz11VfGSy+9ZG7TunVro1atWsa6deuMP//80/jhhx+M1atXG4ZhGD///LP5nqmEhAQjNTXVMAzD6N27t1GhQgXj22+/Nf78809j+/btxtSpU42VK1cahmEY0dHRhoODg/HWW28Zf/zxh/Hee+8Zvr6+t7yH7MEHHzR69uyZbX1GRoYREBBgzJ492zCMa/c3+vv7Gz169DB27dplHDlyxPj0008NLy8vY86cOeb9bvw5uHjxosU9ePm5h8wwsv/MZpkyZYpRrlw549ChQ0ZCQoL5+5jlVveYHT9+3DCZTMaJEyesrgcACGQAUEBOnjxpDBs2zAgJCTGcnZ2NYsWKGU2aNDHeeust8x/GhmEY77zzjhEYGGi4u7sb4eHhxueff57j5AbffvutUbFiRcPV1dVo166d8ddff93y/AcOHDDc3d3NwWXYsGHZJp3IcurUKcPBwcFYsWKFYRiGcfXqVePdd981ateubXh4eBhly5Y1evbsaRw/ftxiv5v9cZslP4Hs888/N7y8vHLc9vHHHxvBwcGGg4OD0apVK4ttR48eNSQZe/futep8+ZEVyHJ6RUdHGwcPHjTc3d2NRYsWmfc5f/68ERwcbJ7QJa/f1zVr1hjNmzc33N3dDW9vb6NJkybGRx99ZN5+9uxZo3///kaJEiUMNzc3o1atWuZgZRiGMXjwYKNEiRKGJGPChAmGYVybAGX8+PFGhQoVDGdnZyMwMNB46KGHLK7dp59+apQtW9Zwd3c3unbtarz99ts3DWRxcXGGk5OTsWTJkhy3DxkyxDzRi2EYxuHDh42HHnrICAoKMjw9PY26desaH3/8scXkHzcL5lnyG8gqVqxoTJ8+Pdv6+Ph4o3379kaxYsUMScamTZsstj/xxBPGww8/nOMxp06daoSHh1tdCwAYhmGYDMMw8te3BgC4E+bPn68RI0aYh3xZ49FHH1WDBg00btw42xdWQNavX68OHTpo3759qlWrVp73+/zzzxUREaGEhATzpBJ3s9v5viL/7rnnHpUrV05ffvllnocXpaSkqHnz5mrZsqVmz55tsS09PV1VqlTRokWLcnwIOwDkhnvIAKAIe+utt25rogZ7aNWqlZo1a6batWvf9B6568XGxsrNzU39+vXTwIEDC0UYg/0MHz5cK1askKurqxYuXJhr+8GDB8vb21unT5/WwIEDs22PjY3Viy++SBgDkG/0kAHAXa4o9KQsXLhQTz/9dI7bypcvrwMHDmRbf/bsWaWmplrcPJ2Tq1ev6u+//1bJkiXl5eVlk3rvhKLwfb1b1KxZM8eZGyXpww8/VO/evS3WpaenKy4uTsWLF8/1ZyY+Pl5XrlxRYGCgHBz4HBuA7RHIAAAF7sKFCzp9+nSO25ydnVW+fPk7XBGKkr/++ktXrlzJcVvp0qULVVAH8N9DIAMAAAAAO6HvHQAAAADshEAGAAAAAHZCIAMAAAAAOyGQAQAAAICdEMgAAAAAwE4IZAAAAABgJwQyAAAAALCT/wfdPo0mY2tVRwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- 1. Filtres de base ---\n",
    "merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
    "\n",
    "# Filtrer uniquement l'année 2021\n",
    "ruptures_2021 = merged[(merged[\"year\"] == 2021) & (merged[\"rupture_flag\"] == True)].copy()\n",
    "\n",
    "print(\"Nombre total de ruptures en 2021 :\", len(ruptures_2021))\n",
    "\n",
    "# --- 2. Classification du type de gap ---\n",
    "ruptures_2021[\"gap_type\"] = np.where(ruptures_2021[\"gap\"] > 0, \"positive\", \"negative\")\n",
    "\n",
    "# --- 3. Statistiques globales ---\n",
    "gap_counts = ruptures_2021[\"gap_type\"].value_counts()\n",
    "gap_percent = ruptures_2021[\"gap_type\"].value_counts(normalize=True) * 100\n",
    "\n",
    "print(\"\\n=== RUPTURES 2021 — POSITIVES vs NEGATIVES ===\")\n",
    "print(gap_counts)\n",
    "print(\"\\n(%)\")\n",
    "print(gap_percent.map(lambda x: f\"{x:.2f}%\"))\n",
    "\n",
    "# --- 4. Intensité des écarts ---\n",
    "intensity_stats = ruptures_2021.groupby(\"gap_type\")[\"gap\"].describe()\n",
    "print(\"\\n=== STATISTIQUES DES GAPS ===\")\n",
    "print(intensity_stats)\n",
    "\n",
    "# --- 5. Visualisation rapide ---\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "sns.histplot(data=ruptures_2021, x=\"gap\", hue=\"gap_type\", bins=80, kde=True)\n",
    "plt.xlim(-merged[\"gap\"].abs().max(), merged[\"gap\"].abs().max())\n",
    "plt.title(\"Distribution des gaps de rupture en 2021\")\n",
    "plt.xlabel(\"Gap (AUM_{t} − Expected AUM_{t})\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "df9e0005-93f2-4885-baef-2e54921a42f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== RUPTURE SUMMARY (in %) ===\n",
      "             total_obs  rupture_count  rupture_ratio\n",
      "period                                              \n",
      "after_2021      935390         242411          25.92\n",
      "before_2021    3414943         428083          12.54\n",
      "during_2021     529964          71090          13.41\n",
      "\n",
      "=== GAP POSITIVE / NEGATIVE DISTRIBUTION (in %) ===\n",
      "period       period       gap_type\n",
      "after_2021   after_2021   negative    60.163524\n",
      "                          positive    39.836476\n",
      "before_2021  before_2021  negative    62.273905\n",
      "                          positive    37.726095\n",
      "during_2021  during_2021  negative    53.582782\n",
      "                          positive    46.417218\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# --- 1. ADD YEAR ---\n",
    "merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
    "\n",
    "# --- 2. DEFINE PERIODS ---\n",
    "conditions = [\n",
    "    merged[\"year\"] < 2021,\n",
    "    merged[\"year\"] == 2021,\n",
    "    merged[\"year\"] > 2021\n",
    "]\n",
    "\n",
    "period_labels = [\"before_2021\", \"during_2021\", \"after_2021\"]\n",
    "\n",
    "merged[\"period\"] = np.select(\n",
    "    conditions,\n",
    "    period_labels,\n",
    "    default=\"unknown\"\n",
    ")\n",
    "\n",
    "# --- 3. CREATE GAP TYPE & FILTER ONLY RUPTURES ---\n",
    "merged[\"gap_type\"] = np.where(\n",
    "    merged[\"gap\"] > 0, \"positive\",\n",
    "    np.where(merged[\"gap\"] < 0, \"negative\", \"zero\")\n",
    ")\n",
    "\n",
    "ruptures = merged[merged[\"rupture_flag\"] == True].copy()\n",
    "\n",
    "# --- 4. TOTAL OBS PER PERIOD ---\n",
    "total_obs = merged.groupby(\"period\").size().rename(\"total_obs\")\n",
    "\n",
    "# --- 5. TOTAL RUPTURES PER PERIOD ---\n",
    "rupture_counts = ruptures.groupby(\"period\").size().rename(\"rupture_count\")\n",
    "\n",
    "# --- 6. PROPORTION OF RUPTURES ---\n",
    "rupture_ratio = (rupture_counts / total_obs).rename(\"rupture_ratio\")\n",
    "\n",
    "# --- 7. POSITIVE / NEGATIVE GAPS (% among ruptures) ---\n",
    "gap_dist = (\n",
    "    ruptures.groupby([\"period\", \"gap_type\"])\n",
    "    .size()\n",
    "    .groupby(level=0)\n",
    "    .apply(lambda x: (x / x.sum()) * 100)   # % par période\n",
    ")\n",
    "\n",
    "\n",
    "# --- 8. MERGE AND DISPLAY ---\n",
    "summary = pd.concat([total_obs, rupture_counts, rupture_ratio], axis=1)\n",
    "summary[\"rupture_ratio\"] = (summary[\"rupture_ratio\"] * 100).round(2)\n",
    "\n",
    "print(\"\\n=== RUPTURE SUMMARY (in %) ===\")\n",
    "print(summary)\n",
    "\n",
    "print(\"\\n=== GAP POSITIVE / NEGATIVE DISTRIBUTION (in %) ===\")\n",
    "print(gap_dist)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "195205bd-d817-41f9-a0fd-18d8b804515f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9583f188-8601-425b-908f-61c2ee1f8da2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4e29536-eeed-4b91-a59c-b373cf14a5fc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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