{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "abf84a78",
   "metadata": {},
   "source": [
    "# Grouping hospitals by similarities in decision making"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "070f3663",
   "metadata": {},
   "source": [
    "## Aims"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69ce97a3",
   "metadata": {},
   "source": [
    "* To place hospitals into groups according to their decision making such that hospitals in the same group make similar decisions. This is done based on Hamming distance - the proportion of patients with an agreed decision between two hospitals.\n",
    "\n",
    "To identify groups of similar hospitals we:\n",
    "\n",
    "- Use pre-trained hospital models\n",
    "- Put the unseen cohort of 10,000 patients through all hospital models\n",
    "- Find the hamming distance between predicted outcomes in the cohort for every pair of hospitals and store in a distance matrix $D$\n",
    "- Seriate $D$ to visualise hospital groups \n",
    "\n",
    "We follow this by repeating the analysis a subgroup of hospitals - those with 30-70% agreement to thrombolyse between hospitals (so we remove those patients high agreement on thrombolysis decision)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82736fb6",
   "metadata": {},
   "source": [
    "## Import libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "21fd17cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Turn warnings off to keep notebook tidy\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8f0ae9e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pickle as pkl\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "from scipy.spatial.distance import hamming\n",
    "from seriate import seriate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "483dc86f",
   "metadata": {},
   "source": [
    "## Load pre-trained hospital models "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a50daf52",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open ('./models/trained_hospital_models_for _cohort.pkl', 'rb') as f:\n",
    "    \n",
    "    hospital_models = pkl.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02ffdade",
   "metadata": {},
   "source": [
    "## Load cohort \n",
    "\n",
    "The 10k test cohort was not used in training the models used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bde5328f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_loc = '../data/10k_training_test/'\n",
    "cohort = pd.read_csv(data_loc + 'cohort_10000_test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "81186886",
   "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>StrokeTeam</th>\n",
       "      <th>S1AgeOnArrival</th>\n",
       "      <th>S1OnsetToArrival_min</th>\n",
       "      <th>S2RankinBeforeStroke</th>\n",
       "      <th>Loc</th>\n",
       "      <th>LocQuestions</th>\n",
       "      <th>LocCommands</th>\n",
       "      <th>BestGaze</th>\n",
       "      <th>Visual</th>\n",
       "      <th>FacialPalsy</th>\n",
       "      <th>...</th>\n",
       "      <th>S2NewAFDiagnosis_Yes</th>\n",
       "      <th>S2NewAFDiagnosis_missing</th>\n",
       "      <th>S2StrokeType_Infarction</th>\n",
       "      <th>S2StrokeType_Primary Intracerebral Haemorrhage</th>\n",
       "      <th>S2StrokeType_missing</th>\n",
       "      <th>S2TIAInLastMonth_No</th>\n",
       "      <th>S2TIAInLastMonth_No but</th>\n",
       "      <th>S2TIAInLastMonth_Yes</th>\n",
       "      <th>S2TIAInLastMonth_missing</th>\n",
       "      <th>S2Thrombolysis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LGNPK4211W</td>\n",
       "      <td>67.5</td>\n",
       "      <td>193.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LZGVG8257A</td>\n",
       "      <td>62.5</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DNOYM6465G</td>\n",
       "      <td>82.5</td>\n",
       "      <td>173.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ISIZF6614O</td>\n",
       "      <td>72.5</td>\n",
       "      <td>159.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NGKDE7265L</td>\n",
       "      <td>87.5</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>NFBUF0424E</td>\n",
       "      <td>57.5</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>UJETD9177J</td>\n",
       "      <td>87.5</td>\n",
       "      <td>159.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>BICAW1125K</td>\n",
       "      <td>67.5</td>\n",
       "      <td>142.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>CYVHC2532V</td>\n",
       "      <td>72.5</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>FCCJC8768V</td>\n",
       "      <td>87.5</td>\n",
       "      <td>106.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      StrokeTeam  S1AgeOnArrival  S1OnsetToArrival_min  S2RankinBeforeStroke  \\\n",
       "0     LGNPK4211W            67.5                 193.0                     1   \n",
       "1     LZGVG8257A            62.5                  54.0                     2   \n",
       "2     DNOYM6465G            82.5                 173.0                     0   \n",
       "3     ISIZF6614O            72.5                 159.0                     1   \n",
       "4     NGKDE7265L            87.5                 145.0                     0   \n",
       "...          ...             ...                   ...                   ...   \n",
       "9995  NFBUF0424E            57.5                  99.0                     0   \n",
       "9996  UJETD9177J            87.5                 159.0                     3   \n",
       "9997  BICAW1125K            67.5                 142.0                     0   \n",
       "9998  CYVHC2532V            72.5                 101.0                     0   \n",
       "9999  FCCJC8768V            87.5                 106.0                     2   \n",
       "\n",
       "      Loc  LocQuestions  LocCommands  BestGaze  Visual  FacialPalsy  ...  \\\n",
       "0       0           2.0          0.0       0.0     0.0          0.0  ...   \n",
       "1       0           0.0          0.0       0.0     0.0          0.0  ...   \n",
       "2       0           0.0          0.0       0.0     0.0          1.0  ...   \n",
       "3       0           2.0          0.0       0.0     2.0          0.0  ...   \n",
       "4       0           0.0          0.0       0.0     0.0          1.0  ...   \n",
       "...   ...           ...          ...       ...     ...          ...  ...   \n",
       "9995    1           2.0          2.0       1.0     2.0          2.0  ...   \n",
       "9996    0           2.0          2.0       0.0     0.0          0.0  ...   \n",
       "9997    0           0.0          0.0       0.0     2.0          0.0  ...   \n",
       "9998    0           0.0          0.0       0.0     0.0          1.0  ...   \n",
       "9999    1           1.0          1.0       0.0     0.0          1.0  ...   \n",
       "\n",
       "      S2NewAFDiagnosis_Yes  S2NewAFDiagnosis_missing  S2StrokeType_Infarction  \\\n",
       "0                        0                         1                        0   \n",
       "1                        0                         1                        1   \n",
       "2                        0                         1                        1   \n",
       "3                        0                         0                        1   \n",
       "4                        0                         1                        1   \n",
       "...                    ...                       ...                      ...   \n",
       "9995                     0                         1                        0   \n",
       "9996                     0                         1                        1   \n",
       "9997                     0                         0                        1   \n",
       "9998                     0                         1                        1   \n",
       "9999                     0                         0                        0   \n",
       "\n",
       "      S2StrokeType_Primary Intracerebral Haemorrhage  S2StrokeType_missing  \\\n",
       "0                                                  1                     0   \n",
       "1                                                  0                     0   \n",
       "2                                                  0                     0   \n",
       "3                                                  0                     0   \n",
       "4                                                  0                     0   \n",
       "...                                              ...                   ...   \n",
       "9995                                               1                     0   \n",
       "9996                                               0                     0   \n",
       "9997                                               0                     0   \n",
       "9998                                               0                     0   \n",
       "9999                                               1                     0   \n",
       "\n",
       "      S2TIAInLastMonth_No  S2TIAInLastMonth_No but  S2TIAInLastMonth_Yes  \\\n",
       "0                       0                        0                     0   \n",
       "1                       0                        0                     0   \n",
       "2                       0                        0                     0   \n",
       "3                       0                        0                     0   \n",
       "4                       0                        0                     0   \n",
       "...                   ...                      ...                   ...   \n",
       "9995                    0                        0                     0   \n",
       "9996                    0                        0                     0   \n",
       "9997                    0                        0                     0   \n",
       "9998                    0                        0                     0   \n",
       "9999                    0                        0                     0   \n",
       "\n",
       "      S2TIAInLastMonth_missing  S2Thrombolysis  \n",
       "0                            1               0  \n",
       "1                            1               0  \n",
       "2                            1               0  \n",
       "3                            1               0  \n",
       "4                            1               0  \n",
       "...                        ...             ...  \n",
       "9995                         1               0  \n",
       "9996                         1               1  \n",
       "9997                         1               0  \n",
       "9998                         1               0  \n",
       "9999                         1               0  \n",
       "\n",
       "[10000 rows x 101 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohort"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a71541c4",
   "metadata": {},
   "source": [
    "## Put 10k cohort through all hospital models "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1b9fcf5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "hospitals = list(hospital_models.keys())\n",
    "\n",
    "results = pd.DataFrame(columns = hospitals, index = cohort.index.values)\n",
    "    \n",
    "for hospital_train in hospitals:\n",
    "   \n",
    "    test_patients = cohort\n",
    "    \n",
    "    y = test_patients['S2Thrombolysis']\n",
    "    X = test_patients.drop(['StrokeTeam','S2Thrombolysis'], axis=1)\n",
    "\n",
    "    model = hospital_models[hospital_train][0]\n",
    "\n",
    "    y_pred = model.predict(X)\n",
    "\n",
    "    new_column = pd.Series(y_pred, name=hospital_train, index=test_patients.index.values)\n",
    "        \n",
    "    results.update(new_column)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acc78659",
   "metadata": {},
   "source": [
    "## Find hamming distance between hospitals\n",
    "\n",
    "Hamming distance is a metric for comparing two binary data strings. While comparing two binary strings of equal length, Hamming distance is the number of bit positions in which the two bits are different. Our binary data is whether a hospital is predicted to give thrombolysis or not to each of the cohort of patients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "10ae3159",
   "metadata": {},
   "outputs": [],
   "source": [
    "D = np.ones((results.shape[1],results.shape[1]))\n",
    "\n",
    "for i,h1 in enumerate(results.columns):\n",
    "    \n",
    "    for j,h2 in enumerate(results.columns):\n",
    "        \n",
    "        D[i,j] = hamming(results[h1], results[h2])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2be5979a",
   "metadata": {},
   "source": [
    "Show min and max Hamming."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7d9c7266",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.4474)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.min(D), np.max(D)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "804c28ca",
   "metadata": {},
   "source": [
    "Plot Hamming distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "934eaeb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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apSMfwHo85Ef1jqrCfcL62GnOTGE3fyDMU+2+wz6+49Z7r35h/YaIds6PKNjspHAP0Rm9h98KthNlMBgMBoPBcAowN6fBYDAYDIaQsJio0Div3XllY6/yf0waQkRE08bLbX3ceg9rpxh+IQuvcaXlgbzKqTSXxfEs45a0znRqB3J66P7WaMJsyluevFEqcetWbTunteKCrlHPHwjkUYPkfv0Tr7HPalRX1j3x4ThhN61B90C+d5Nklw6ZdZcszXoPYtfZvEOdhS68JGfI7B0LhT11sdgYHnu1qshnv/EFxcaei7r3rxbHnyxvlKednvEzmvA2f+/V0r3ZqRFvqX9EzCKetkN2GPsoCv8S0T8ieBu+04dvskJl83Sp/Uogt6F/BbIuuPsG+J5WLZS+w0bt2W9wK/07kHXW6PyHuU/ln9spdKLgKrgJvm8vM1QvX8nvskitQ4FcutwBYbf/Lc4AHdDqWaGbPB7c0zDOh9yvXB5PssNg/UjpMq8zfjN0HhTKGRDWguf6hxEyfbXOPG6jW+eXA3n26nuEXdVGwPT+JGRP6fGL7jydKZvKYuXemwK5D/qGiOhFui+QOwhfL9FLGVzy9ZqIHYG88Sk5N5o9viSQ332+bSD3GDRF2M1c158PVCZgs1bcRndgnO++XPapeCy79a8v/bnQpR67OpBji/JcwULbRETLnmAW+LqjeD5/dkAyzB+ZzCEDi0c2F7p2C3ndzq+yQv1q4CJ+SrqIi/fje6lXel0g/0wXC7sNe2CQzVU+tna8hrWtwv70JS90EWbl7+f5tzcF5p76lZPRE9zn03+VymiQW5xZd15l5/yo09xmN3PnGQwGg8FgMPzvwnboDAaDwWAwhIS580LDdqIMBoPBYDAYTgHndUyUuzbW06Rcp7JmqMZ4Hs0yi6miGH+k4xraxQdiDf9/gfx1RrQwy5oLVdQTVBsYzoJxCLpP7UBWuaQ1lkEsVReIpdIpzMAYvOP+CoFcZf13FBLlVWnwd8Dnnww/j9bngawZwNHL/UaInxPJ+KtIpcO4FwxD0H8O4TMdDHKCssOUdkUFcMK9HYdmgkbaDF1RHcN7MFZG0VBgXE2lIZCmvUnlVYeoDk9ERHeBfHM+dhjDo+dHMov1P+C4kZ/pEmF2PTHlweyHOXZo4nN9hd3gjlMDeeGCO4Su/RNv53ldPc5RV76viuHqBXEkQBWi6SoqL+L4Ix3bsnc8tIF0BTJMieI/GMZyl7Gs0DFR0N8TxgOOdZzrmuUb58dgpUNWdRyL3ZQd9h/niqZkWBPCjkjGFfUDxv1+xUPbxag2cPz1BDld2eF5CSDrZ4isBrFKuQZuANa9GhM2CLMtU2G9lOFdkuYBp59+NrheaGoInFf4u6SdssO1GttXlDh163GM2Cc3qXhPEaN6ZmOirnHOP1uw2Umh/QUSE2U7dAaDwWAwGELCaueFhrnzDAaDwWAwGE4B57U7r2ZsmH89KSe1Omb9V1IJbqpGFROFCosJ9yN2Q7ScKu1q9AU3muN0dEqIl3Y92O5K2i10/87gYqzPRAwP5MEpU4UdFpusMUhuSW8eWSeQi97HPqUfy/xO2EVs55TYadWAxmDXK8LOZ3Mardss3394HLOeVynJadUp66Qf4qt6XNz1r/QXoTtGRQN5zuo/c/9ultTFd5RgNw+m6hMR3bc+gfJCQh1Jp/A6MXXBu29xendUq23CbnfStYFcIXaH0L1K3Mf36bZATlb+CkxB36roBMatfiKQXSQ/00a1pT/vOXo4kG/aDX7losKMllzRLJD7kUxV/xs9FMjNiVO9dyh/U9157Ip7pPOTQreDmKJh4UD2D/lLFBP5r3wvLSf8M5CXbfqjsKtfk12C7WiR0A3bOokPinF7O6pcIeyqzGC3sz8q+xHZk3UZ8exLLjVaMv8fXFqR29gr27iu7/pAngM+0XvpZWH3yZ56fLAXfC/a9Z3Ouqo1U4Rq20qmRhjQhB0hzx0aJuzGlRwSyEh5QUT0It3PfSemZxj8hFw73h3Fa8w9cC//JPmORoDPOUn51l8mdtW2TXo3kOvEfiDscH37P3pT6L4Gv3gD+iiQtYu4fS+e96+/2i6QP6A/CLsp83ic+/JqXGYCPUqrTwN540xJ/zCpB/vxB26Sftu2NecEcldi2hP9bH4ipv2YMvAhoes0ielRBtLfA/nWJ9YLu1Gj2J+3AnyCq1dKJnb/Jt9nhYlynbqG+HiNa3ZGXWFVnfN/L9jspHDHBeLOs50og8FgMBgMhlOAxUQZDAaDwWAICYuJCo3z+iPqMJWgVMplyS1zRCphG/6Sij8LFTI7i2LCiolcZOGhC69nvLD7scefAvmo8ssUK8ZsveJayfJamJmy/YBKA4phMfvLkoGc1Cj0TugL4AqgxXL47xzE7pDKV28SOsxowm1sja3E7rFfVBZUODHL9Qns7gB8HpfiOUQygwW8XlvrSDfaR4eYYRyzmdKuqSrs9sdyitTePdKNtLki9wMZyyNVWtHnxIV6NTt4FryKG0tyGhQ+JyJ5z9eX4htLLVlJ2OF5guGYiL6o/ftAvhqosbWLEbORdne+Uqi2o+sPh5H0vBCx55dSMY1RFZXdWp2vvbBoB6nErLBr2F3xrXLnYZYVyeQ/yngH0kEhC+pgckVhF9ECOiZrKdO+Y+UCeXNRfg9f09UUEnifZZTPFebs7gz5fPG89fCAt5aU4/ILGFPXqw6/DxV5r6BvWREjL4XvfdcOlrdWkWMPr7V/h+wv2h6MZdf6AZXi9wsMkM0k3U3bwUWM8/kXPaggMuAL4rG8nupIO1g7slTB71Jh7MbFa4V32C/skrDNdNkGvhd0U+p73k3wrFQ/cE4kEzCuK88vznvRXrK0w3er5/2x2mfv17XxRIWGufMMBoPBYDAYTgH2cWkwGAwGgyEkzJ0XGrYTZTAYDAaDwXAKOK8pDtz1sZ4W56a3rpEpsFhF/QSmbIxzwMx9zZgLLMFId/Cjotfe6/7BB+PiZRu414eM6Ppa6SCrCusDenCK9OTnHwnkWoM+FXYbp3J676938fO4KPMXYVejIqdLb0m5UeiQakH0o5Y0KxJ3KJCz3ykplekgI7P5l9JMPI+jSoes39ieCrcR7zIyxDlEVKsRpEEvl2nQ4h0hI7NmLMd7yZSq+m2hWvyHUC1+o7TDe25Uk+kPvqUKwmzbOk6R1/vFterwvWzP4DiUrLRSwq5yTY5325lSUzYC76JGZx7bSJlARPRv4vT5DU9x54c/LmktxnT/ayAvmxUndC1nJuZ53eJD/yPsSoQdDuQmJSX9+pIPu/ABPns1V6ghx0a2rzRPqBY+zFQORYbC+H1Gjt8eE5hSYubU/qzQ8X2RIKv5IeY39LFUT0XJsAJiuqKEim6sycFkG96CgaOrHURDPOhe3i8oEn1ImGXvhfvUDPbAxN2w3nuBvGZlU2mXz5qAjOV1BwHz9mrJvB0WczCQs5JhzEaruNYkvpe27ecI1ZKtMB6ARaR4Nzmmjiy9jA/0XISwwMp9Ya48qeYKxkHpdRvXtNtV/xGpsI8j1ht5ziOVng7kZ58YKdvAONERZ5axvIZzPuE0t3mzURwYDAaDwWAw/O/CYqIMBoPBYDCEhMVEhcb57c6rGOvpvlyfi0q5FlvvuhBnKsi4RTpY2UGB1GZrlwTy16pi7bbx4HoZGi/b6APH2Mc4aVa8J29DH7nrMqErMhtcD+1gS36c6m8yi792A3fedvWO0VUWrdpAgm3c/taFU/H5blc63KDF7e7yyg5deMo9FhLaLhrkniCPlmZiS14XTMYxgC6KZGWH96LHFLoZ8U8T/Y6iQcYCvNp1iMfpSqeLoB6HdtEMBlkXQgbbLp8yo/2ijHbCbGgE38DoluxqWLhMFRmuzyzUy9bGCV3LFxL5YDEoeqo+oZsqWunEeaEL5Ipi3ZuUqxoL0OI4SpBmk/YDy/WdwHKt+4TjPr9xieNeFzHGd6bfKx7DeA6bfFCYZd2FLjEKDRyXer3E8YwFnnWRc5yzyv0ongfOB+XGL/vyN4G8v+VVrIhR7cWBrF2YeC+TWaw/a5UwW9sfXOv6nrHoMK5vei6iC1OHE7wEMrznsNHqHbWDd4TrjVofSlVnd+/BmyV9h+h/2pl159V0zs8p2OykUNvceQaDwWAwGAz/uzB3nsFgMBgMhpAwd15o2E6UwWAwGAwGwyngvN6JKlLuKF0yOIfmP3NuWanEVFSdiosxCujj1unSEEfz7wxO9cZSLjk/ABljoIiIpsNxEsgqRuXIdoiDipO6oeXYcf5sDKe9NmuwRNi9m9o2kDdHQHkJdV83dobU6Q8bSqWOWzqOE2KAIC5FlZURqd+augCBcUrpSodxCfnFJGBcBsZexEizhl0hbTtNpW1jPEQUxI9FudB2auY0as8vdPVqqMweJ+3oLhbbV5sdyJurXSfMttSCeB4Vc1ajfd50G3tjZJkI8ex7qvTrcH5nWFX+wYiJwux16soH0Sz+i9rI9iC+5FtS5VzwWcWxWL7rTmG29zXuf4/aU4Ru5nagGvgYxttdwkzEQfWoqdr4GNrAdPR0OX7fJoj3wrgZHZeD41L1Q8Q6QRtRPbYJs7QwnqdFbpeUBPXKrQvktQM4ticrSVJZiPg/GCvhrWUJlMy9MIkT1NiG+KvGtbnzqzqoOie4rqqlA2MNowbxfaatVyWY1kEcFMZcRavYzaXcx/aDZgvVwh0wLmGerk1pLOyoHchvSBW+l7JtIU4r/Spp1w1k3UYfkK/h/mdtV+/oGZAxnlTF0t1X9IVAHn3z01KJa/MIOqOwsi+hYc/FYDAYDAZDSJg7LzTMnWcwGAwGg8FwCji/KQ4uj/XUOdfvE6eUkSAnKx26fSCNv8baDcJsy4PsGpg4gcvKY0VuIqJp6wfxQby6Fh7HwkGyNGxYG9xNw5W7Cd2RSDug2XN7suh38hZ3nTs/EGYbevE+fI1X1T3PBDcSuoOqk0RiiD4REYE3S+x15sf2q9OP40COBHm6NEOXYO37Pw7klKcUJwO2H51PP9B78XE+djFKB/eGTNxHhkq6CrGVjy4gnVYdFkImkm4kTJmXJN9U6z1gae+lWNrB7fPiBz0D+b7XEoRZYtd6gRw3kN1LmeOKCrvwR9nFnTHuIqGL2PgrH6CbS+2DlxoK6d0vqfTuaBZbtvpnIC/r8kdh1mMOsI3P6C90wiWN3iHVj6/mXBnI1y7czQpNT4DvUo9LdPPguNFzIBTjPpGkCgFXWevnFgizpU078sGjoNA0H3j/OsQB7wX7/pKyy4+KBMdpJMhqfejyPlNqzLn1z6zQjO1zIOxguPId9gN37FzeIxkx7DFhNnoguMT0+0P3GF5br2cwN+u+vFqoPukIbOzwLht/IPlGVtWHhQX6UWOWWn+XwPqraUnwHS09sxQHtZ3zbxdsdlKIMooDg8FgMBgMhv9dWEyUwWAwGAyGfGEfC3njvHbnRcRe4xsk5RTnXTZebuuLjKae6sREFoULYbRyIaA7C7PCklV7uE2sXUC4fY+uoph4aTcajhXD78JZnC3UvjtvqnaaNVPYzZ/aI5D79/1bIE8Z/pCwu3fM84E8fV8focv+EhjR8f7VFnftQeA6S5Gus/K1Oetqb1PIGNMZTOgi1C4rdE3BMy0+XRUYnQ7uslRQqGzCAaOgiPPwR4QuIp734TM28h5/8Wh1rSxwUyXJDg9py76TFzLuC+SsuaooMBQ67QM+IO0iXkFNAnnvcJl1V34MP98G9FEgf07XC7tt3ZlJv8g4VYx2NrznOBYX12ku7O7KYJ7irNl8L7XuV8Wvx7O7sPYQOQlS7oTxAS6UHlNU9txt7H6b9n53obt34Cw+wPmmi1qP4An3YsV+QnXfuoRAvrFeaFdR7TEwtrHv2vGA7pVopUP3LLjYOtVRczaF52yj2tJ/s3oXj4FSUd8H8sG5cp2K6ADjdyg/4BqTlKtoKriKlFsuvB9n8t1X8sVAfna8KoIbyWJYB8XKDVmDUU04Oy/9UKSwy0zgTOrid4Hr+0vl+oZMuOETVMHrrVzwWri35aWIImEB7qcWmZ4slmrHvwd+zrxYmGWlwhzWrj7I2IxqCxmJD8qMRJHhh22o3xfvTuEs8GZdZBiGWC/jz6w7L8Y5v+o0f0WVPmruPIPBYDAYDIbfBM65Fs65rc657c65R/Oxu8k5d8w51+Fkz/1vYTt0BoPBYDAYQsI5omKn+2shPw5BInLOFSWiF4ioKeXs+37qnPuX935zHnZjiWj5yZ57OmA7UQaDwWAwGM411CWi7d77nd77X4loLhG1zcNuIBEtJKLvT+Hc/xrn9U7UZfQfuj03eGZZuIqJgvijiBiZP/9T9KWBfHfR1wJ5cpiMlRFV1BNB1mnKEH9TvKeKowEmckFjgDFQREQj4HiN1P3xy2V59ukWiIchIpq/l+MrLqWfWKHSme+kRYE8LW2QVKaDXAvi5VIlw3EvejWQJ9SOFLpIaGTv7RDPoxifS93McQjVim4VurVrgHkYwlI6lJaUwXNaQIp0Aii6CTPqSq8H8uR28j13L/GPQF5Zhx/wT3SpsIuBYLgdFasIHcY3/f3oA4FcvIMcD38ivtZt9H4g30CfCbsSdDiQZ7QbIHR30uJAvp4+B/kLYRdfi2OikP2aiGjzAI7ByojnOJq2Jd4VdlnrOB4kvCfHzWzeJ2O4kNbiGkWxnlILXmAkiw3U+J3ZgmOiuh+SDNX33gwxUamgiJPdoDUc99KrtYw/uu9oQiB3pnmBvKGbjIkSMX4Yx6j/co4OIRPJNQFi6zooyuvdtZlOAeclEVFqJW40FoKsFq6Rg7tPVx574/swlfXdMOaJiP7agYPJjmyU8UedS/LzuJt4TRzXbaiwK13uQCA35z/8iYgouUlMILehN/k+SkYLuznpPGfvLM33vK5BPWG3awUHAeG8ISIasxFiom6GBTlRxj016poYyKtbtBA6iuH1rXlRvpcdEXJu/1z7kkDeuEJShWAsGY6p8XslpXjDOrz2f1GLYxcz0mWJiKbrgMtCrWFUC2gd4umMwjmi4kULtjvNqEhEwDFCaUQkBolzriIR3UlEjYkIX06B554unNcfUQaDwWAwGM5LlHHOYQrGNO/9NDh2+gQi0plwE4lomPf+mHPCvDDnnhbYR5TBYDAYDIaQ+E1iooh+KCA7L42IroTjKCL6VtnEEtHc3A+oMkR0h3PuaCHPPS04rykOXM1YT/NzP2Q1sy6mverXlAgy7uRrFt/JLNZYxunC2w9I6tsjS2FrXHohpLsB04rTlB1mYzeMF6qGvkEgr7mT2cyLvKTS1idz2vono3jLuO5q6eahaNgWzlIVkWA3WTxDPYFwF1qn/eIznQhyjLJDGgLNWB7q2pp1GPubX6HQybDlH69SneNARpejKvwr3pl6HkWG8rvITgP6AM1kHcNi3b7MfvzJjj9IOyi+SnNVGzhW4uBdrlHvEt3O6aoNoJCovYzzrCOVYTnaF8jzx7K7eOywgcJuWP9JgTxiimKN7g+s0fhex6miyC9x/2uNURQK3WGnHr2bKuem6vspFArbXmP3pnjPE6Xd4PfHsOrW4ayIUw1qlnkEMmDjuqKL9iKVRwe1Fn8MYwDnh6oJLNzYqSAr75UYR9FKB8flh4WgKCGS8+92qRL3gtfWLOc3w31iIWTtLoXnhjQOREQZK2ABgvUHKWuIiA5OBzoIPReRckUVOBBA5gltNzuETq9Ti0HGOaDeZbPeXFT+3aoqhAfHbPKZpTiILeZ8UuTpbdMdyJ/iwDlXjIi+IqImRLSHiD4loru995tC2CcQ0VLv/Rsne+5/A9uJMhgMBoPBcE7Be3/UOTeAcrLuihLRK977Tc65frl6vXVS4Lm/RT/tI8pgMBgMBkNoOMr5FDnD8N6/TURvq5/l+fHkve9Z0Lm/BYziwGAwGAwGg+EUcH7HRJWK9dQkJzBhxAIZh/E9lQvkD+hWofsBgnH2978qkNOmlBZ2TYnTUjePrMOKGNmPgXeODeQX990vdEPLjQvkZ1/jEgoLu94h7JDG4NbqMs18jfswkNt7drYv7C5zYOfPahPI37mlcI4sPRJVldOUd2yrIHSz6E+B/DZxH3sCpQER0X1NE/jgJTmGoqpwMFFfmhrI6aomw98PMBXAkRUy5Tq+87BARrqGIWNfFHYNh/E7+uDrZoHc7mqZ3r3EdQnkTl6V3hjOsT5YAubYUfmnF5arOCHODuIhpnkuWfI4PSXM9rfh8SbiJnQMF1TjaTRSlQMZCwEnWPYkXTaRPYPjTYpsUfO8PB/7Z/hvKTddjj1fj59phY93BPLGYjINvP7R5EBOCosRuuVZHPjxPt0WyFM6ynJEqQsuD+RoGPNERP09p8y/uG1IILepOl/YvbmoUyC7P+4Wuk5+ZSDP787vPGrWNmG3u8a1gfzYlicC+Zj6UxzH8zqVPf0A/T2Q/0pcsmTX9dWFnUhVXyFVjabwe189j9+5ryYTj9wL/C57vMyldGZ27C/sSs3leKFbi/5b6JY8zPMDY8TKHvlG2B07xs/g4DhVJgtvDeN+0qWZb8T9dythXLaTdt9ViwzkCk42stLfEsgPE5d0Wj9brvWuArffu8lkofuIuI0tH3JJnOLVFU1NKq9NmbXkGPhd5o9sN5TtfD/1jjZyPyK68Rqzh+QzDA9jyofGXu5xJB+7IZAPFos6szFRFzmfVLZgu5OB+/bCKPti7jyDwWAwGAyh4ci+FkLA3HkGg8FgMBgMp4Dz251XLdbTtNw8Y50Gng5yjNIlgtwOZM1EDhW2i0yEFPYvS0q7ZJB1P/DakSBrigNMF14sVe0XcR7tQseusiJ7HxZ22RO5X4vHNA/kdk9JZuHi/aByerKqnL4UZGQC+EGaYQV03V+Rxj0OZL1xixQHinVA0Cbgs9Jp1ZgWjanUa6RZqUR2ZRy8S7khMB0b29N/eel3Bqg8khM/dq6syYpnlGFPFmt35QH2xb7rhVn2GhhjmjYD2ijVGu5rtrovpGhQXiR8Z+jmQeZmIqJUyH1fexuzyA94/1lhN/lWZoEf/MEYoZvYH2gC4L2Gv7Nf2GUOYH9B41eXCt2qgZAL3gEUksyd6B2exI0qJgrV6ifgRSPtwDhhRt0+fTmQZze9hxV6/OJ4SFU6zMiHVPqwoQeFWdZocLVrhur0ELJi/hf9wHkTp+xwTnysdPBMq97PNBHbWtaWdjhPNSUMzj+cU5oCBZ8j9klTIcD6UGuIoryYB5QX4NKuNPJLYbfrCRj4iap9dKcjVYZyq4q1r7zS4eXwvvR6GcrtrsZU7yHscpxRQw1uvHbiGaY4KOF8UlTBdicDt/PCcOfZTpTBYDAYDAbDKcC8nAaDwWAwGELjLFEcnA84v9155WI93Z3jzqs7YbXQ/UxQNHKrLBopWZNZHLVIFtt8Yj0rM2IuCuSkonIHchA9z9f6UF6rWQNgoH2QGWg7TZAZYlhM+KF9fxO67KHs2ikyDtyK5Z8TdvU9s15/1KpJID/7ltwWHnYDsEt/JrMaE6hXIP+QwdmKN0QkC7u146FAsN7mhW3+GjWZ6f1HlZ239y1gQ1bs4JUHsXsMs/NShivKYHCVjK99XyAP2fW8tGvNbNgRSYr9+BnYJ0dXkd6Sxwy6DkoH46jtm3MCecnqLtIOE+3Qnancj8Ilqlmu0WWMbaRKs4kv9w3kwc9PlUpwCR3ofXEgl+7yizDzQyCTqjhk9K1R2UfAQu2TpK5538WBvO4wZ7FljJa+keGjOIttTJu/Cl3Um5xB9yyxG/vuTYuF3bKacYHcslei0EW8xO89oxtcW3lN/GHuf0yztYF8Cf0s7H4gnh/blku3V8PmUGz8Q64ycILrOxpkzdqPbNbAjj7//jbCrFN/zlysMYXn25buNwo70d7Nii1+MrDdR8LPtbMF3XmJSofrAIZGKDf4sjFxgdxyIDSi3INj+zIr/rA2k4Su9ZsLAnnpHn4eGyvWFHa1ZnBGadneMtPwwD5+f9nbwX0eKfuBc/bFIT2F6r7nE/gAxBmf3S3seveCbGFYs0Y1V79zusNCIlVyjexwht15FzufdPXpbdNtMXeewWAwGAwGw/8szvhHlHPuSufc+865Lc65Tc65Qbk/L+Wce885ty33/9+d6b4ZDAaDwWBQOE5xcDr/XSA4GztRR4loiPe+BuVQFN7vnLuOcvIjVnrvqxLRSjqhtKjBYDAYDAbDuYOzHhPlnFtCRJNz/8V5779zzlUgokTvfbX8zr04toa/JukfRES08UEV94SxIjq9G1JpwztwmnXmYkXJmg6yTq1HJIKsK5FHgow+f51ijPEQqo35o9jn32k4xz/UH7NK2K11zEKc6JkBPW6XDLhpX2leIC98TeVVo2kMyCpmqfZzfAMpr6k4JQx1wUx1/dcHVlHXadsTQcZ32VONV4y/wRRpRVfR7X5IW3/+HqGL6McPv2ixY4F88B1FGVAL4kiOypvpX2VCIE95C5i402UTlbpyrnMcvQ9dv1TYvX+Mmb0PTpT9qDyE48UiiRmTD4gHRbRrNQz8qHyeG7yv+Y1kvM2fD73CfVzB86N9W8m7sHAqj6MRfWWc3eixT/MBjHMdx/jJwkaBPL79fUI3ZAkw1WOsWjJJQNzPxOZ9hWrwQo4Lq9EeYoeekLFDN47iSbBhOASkyccr32200mEfYXo0bqSoG/bwwlKj4mah236Ac/CP7AUqkiRhRhF3QazXUn6ZldvLeqs7l0O8ULJqYzC3MbAEs62Pnvq0NIS4p/A4RVHxJY+PSnV4nO/ed6Wwy06C+KPqMC4zZSwd9nFIj9FCNf6FEdARUGgKglqwEMQrHhWIhWtcm9/Lqk2tpV0Y9HGp6iM0GdWX4/bSplaVdjEgI+WDWvfe7MyxrG0GrpRKpGQYfIZjoi5xPinf38YnD5dsMVH/NZxz0UR0AxGtI6Jy3vvviIhy/788n1MNBoPBYDAYzirOmmfSORdORAuJaLD3/j/OuYJOOX7evUR0LxFR8av0nx0Gg8FgMBhOK6zsS0icFXeec6445Th6lnvv/5b7s610ku682Ajnk3J32zdhujwRfUtXBHLTddKddbAe78GWGsrbvaPHDRF2d9NrgbwS/HkvkCwy/GlG/ZB93BzB27q1F/F27313jhd2mMbfQVWjXet4/7eS54KwbVvJYrGr36obyHGuZSC39L8Xdm9f1T6QfbLs7+ESLId9C21XrSvsGv3fJ3zQiyQgk/jZQbxnru+r8tfg2/lCNvHp/7HvM4m4+HP/8ZIa4tMhbPcwMeWDLvzbIJzHwOeZMh395qHM0ExYE/dt2Sc6BnIDqUoDwvEoIP0+IuvSUnFwIaSBRyzqCmmH7NVrxkp3U8Pn2RUl2MxViniVV3nc7EhQSqh/fd/lPBYrOTkHDvr4QP7LYaYd6FhigbB7hf4cyBVWpwvdkEbsimlO/HCaVpbzss7ODwJ5pJOFZH/0XFgYCwFfTvuE3aXg081wnwhdS+hWcajNu/916VNBypLbwOVag6S77Rj8VrmCvhW66VBBenRGPF9XRR0It7VcEmj/Su5X2cf5vl5+Srrg7xnMg2DORKZR6dJ9ibDbP4vbOwD0DERE1UfuCuT/cD11KpohnRXHivGzv+wlRZOAQ2wdyIek2WNPclHnp8ePYsUfpd0TVzPT/QAnWfDDs7hfJZOzA3lVPbkWN57DFBXvdZFcIdfS1kCu9CG4Jr+W/cBwkCWxzYSqbTKswdNZbDL5TWG38l/sJj/CXmtqGrFM2OG6fbuX8/6Gw8mBHB6WfWbdeeHOJ11fsN3JwH1s7rxTgsvZcppBRFuOf0Dl4l9EdLy0eg8iWqLPNRgMBoPBYDhXcDY26BoQUXci+sI5l5z7s8cop8rYfOdcb8rZy+h4FvpmMBgMBoNBwxjL88RZz877b3B5bJTvnPQAERG9uE+62LLf4QyQsj0kU+3+dVcFctt6wC79oWKXxmSOMrB1vbi4tOsAGSB7VQYIZOnc2DxE1g+R3ApXDOBpjXjrPeqpA4E89vGBwm7YLt7Ya1mJt5OXuc+F3Xj/fSAvojuFbvOx6wL52FGeNRkrZPzZva3Y5fER3SJ0V9JuvvZ42KO/S6bMRZRJD+ToEqlCl7IOUpoWs3hCRuIOzmKjRyGuTrFQJzTqHMg9188TuoZ1gF16E7NLN6spN0N3E2cZYeYUEdHc0pxqiK6cZVulj6JTNXZHDiTOgvqEpN/vfeL7Wpoi/57oX5vf83XgYkpUFWcXPslun9YjpfsNWZ6Lh/0ayN+UvkrYXZ2xM5Cz3uFiueU77xR2e+exO711Z3Wtp6D/kOH2Yt+ewu6+gQmBnDzpWqGLmfkVH0SDQrHKh93OBX4/jJBzrM4edoN2qzgrkGcvlNmaIsMLM+GipZn4E1Sz9mMyGZC1jK8jsw7/ephZ2u8u8brQbSV+Br+DVMCFy6U7r31zKFC+mnU9Gk0Rdm9Tq0Dev1C+5/rteV71Jc5i7Jch28jazmOgbh2ZXfl5Bvt77o/gbEq9PuCcrV+F3aU4v4iI0gZyKMS7k6R7dxzQeW+HtLVf6SJhdxR+8+9dKEM+MLsyqvc2CoWLiOfHznWSEb1yPc6AvIE+C+SF4+U7qj2Es5l3HKoSyJkJMiP8wP1QPeA1WT1A/I6IOcPZeeHOJ8Wc3jbdhxeGO89CxQwGg8FgMISGBZaHhD0Wg8FgMBgMoWEfUSFhtfMMBoPBYDAYTgHndUyUuzjWU3RO0MKNW2S69C90SSBv+VBVM08HGYhvp33WXZjdu57jJnwpjrfZebWMD2pNb/G15in2484QB9WLYzTuffV5YXcnLQrklrveEzq6nWOwin/8n0A+cvtlwqz9Zxwb8cZVfC9/+6a/sBvimMcU46OIiF4FvoKtB5hhonnp5cJuaReIc4mR3cWU4PptOdYCaSeIiHbNAEMV21Jr2KeBjPQPa9s0loZQ9HxhNc7bb7/nn9IuimPVynsVz3MnxEqMg/mQpLjLIIVZsK0TibiXbvuBHV3H22CsDDLpy+ErmLdpsNIlgJwGcqI0m7W7QyB3Hy7pJTC+x9fj+3Qt5Xrgx4DuUtb59+WzcW1At0zqOk/kDv+bOLZlb1MZozL+PY4XGnLxi0JX6RdmwEY6hSY7PhR2O6rwGKty9XdCV2r7nkA+GA0s8JOFGfnt3P96QxID+TCVoFBIWS5Z+1s25/G3bAnExUnibcFmLqoWEFGRycwNkD2OYzxXPidjjJq0/CiQay3jebPxesWngIW0Gip6gm4Q54lhnfGqv1gV4B0KjUiQv5Sq9XM47rJOfaCNUHPqxUE9A/m+GglCd+8WXj+nrR8UyN/Xkcz/lw/ktaPsJBUbuwniwjD2TVU7wN8Xrw9rJ1R3T13MB7AWJW6TMY5xvYDzAcKlZjS5W9j1LgtxcXpNwCoXPc9wTFSE80mhmXxOCW75hRETZTtRBoPBYDAYDKcA83IaDAaDwWDIH0ZxkCfOa3de6dho3zwpJ0V4zlt/Dm1YXd1j2OFAbFxxRSCfUHgyEvZ1k3mPu3IrVdgzBdJe9VYwFBOu0YBTrLfuk2Ts2WlQlFMVpdxRrUIgV1nJLooRTVSh19e4WGh2S3ZJ/KGUZDZH1yG69oiIaHY8y5jFr+6rfyNOs5+y6SGpzCyETEQ12vLziFSVetc+D247SO2t30RSHKSD32D3IU6RztwuU4en1Wb35r1bZwld62qckl+CeGws2ifpH2LL8Z7/UbWi3E/sfuq9ELbkY6XbpEslvnYs+BB+BvczkWRpX7JD+jl6VHkJ+svp15qFevmh5oEcXTJV6LZncJp1ViZfe0fFq4VdlT1M34xUCJ1LS5qI2bt6BnJyJZkG3vAQu9ywiHHvttKP9o8Dfwrk90o3FbpuQM2e9hYUd9WVn9JZ/KBJHaG6dQc/725V2Dc7e7V0uXZqxDQU81f3YIUuQIzut2i1xuzl+VerAbvY2sHcI5KVEKIpVegwXT+J2OshCksTUbNGTMXxOTHNwB/oA2GHVANpK2WB3E5N+J6R4kC7S4uE/xzI9cqtE7p9VC6QMd1fu/HXfshzu3YD9lHh3CMi+mQrU3ujq56IqP0LUE4AU/8Vw8yN9SCc4i1JeXFjK9bdAeUJElQJBmTF3/CCbKP4XRxecWdpfrfzN/UQdjVqQsHrPezORJoXIqIvS/C7rbBO6sS9nWmKg0jnkxoVbHcycP8yd57BYDAYDAbD/yzMnWcwGAwGgyE0jOIgJGwnymAwGAwGg+EUcF5/Wx48Uorm7cst55GslDEgz1Wp6pHsXF4VB3FQ6aqNj9ku/C6u8v0zXSztEkHWbUDMxpbtQH8QrezwPJXuP6sax4rQUhYTmkjfPabEHm7HMpZyISJKLxrJB7NVGnS3eJafATlVms1ryGVUaK7UnRA7chwb5eGWcHgeeiRiyjHo1pKiOIjM205fa3ptLsWiU7OXFmMqgOKRnBKdvbSksPukPAQFqDi7N6oAVUQqKL6UJYLm9eHntrWcLG2C2JACsRepUvd2FS7fgXEk3+6TsSeXQPzKxnXqPcPzKdubU79fp67C7MaK/CIwHuTK+3cLO5rM9/nTczLNPPNjiE9LZHFRaxlzhmWGZpGkG0lbFyIOailJtGNxFv1J6hJ4HXh9AKSWqzaKNjoGFwaFmpfi+Eu1xsBY3JjOz/5YKxlLt2U1z4F11Q8J3aUwFjOSdPAX492tbfkAYjDnh8syKpQKY1Hd8/zyHMNzcc2fwU7eV3YYz4m1MWouprL4c2deI/euVOVWYH1IWSmpIQQgBugf1eR4EPFo8B6KD/iPMNuwHOZRsmxiQzHWFWvO71zE3BFRWjgcR8o2jsxmmpn5LSAOSsV/bllyY566n1vIWMjXS4Qel2cVjiywPATO648og8FgMBgMvzHMnRcS5s4zGAwGg8FgOAWc39+WWUUoe2Pu9rK+k0SQdYX17SDD9vcJzNvJLFbpvSOQfyLprpDb+nn29MR+HFW6WuAeekNuob9NkN4LW9w/ZMiUdux/2LcsH7tK7sNuTQd6hWtIAl14j4I8OV6YHXwDGJ+1mwOBdA3RSofvQaUmC5cNbo0nKzt4puGt2eWauUZSHHx24AY+iFRtJPLzPhIDLPDblV0qyMp9s6xDGz7ADPSPhRllJ7I75EBn9mvs2lVFGqI7U40VwbSMfVKM1xf3PhDImcq9ifd2PX0eyGKsEdF1tCWQN+xl90c5SPvW1y5DB6QO6TFgnh5cUVHa1WLDFZD6T0TyPqPzbo+IqFQtZiXX94JjLDsJXLVqzlajrXlfV49zvK9opcPxCy7BLetU9QQYH9nh0n18DNyxYj27S9EpLIaxKNY66UoW/dVULND+4mvAzarcUmIs6rUOxuzeGHDhpUuzsNiD3I2lpVgRQyGRePg2+YM4kCGc4MrS0s28MxPoNvR8jmbxk03gqtfvORVk/bsE51UyixHt5GTMGA0DIpJFdNkSEf2L/o8P0khC/8440zi/vxZ+M9hOlMFgMBgMBsMpwL4tDQaDwWAwhIYFlofEef0RddGlWVShSc6e8q5EyeIrXDaRUoXbuMW7QUHf2ZeFtEtZl08WCTLm6mthphq6zpKUXSpsyau30pNeDeRPfuBt5xsikoXd2u2cLbO6b91AznhLFUxuxQzdSzd2FDqxdY0uvAHxwqyG523nLVnKRRENMmaY6Kw97JZ2K+LzwT4NUHaw5Z25FFx4auv7jtJcJHpJWhehCx8MbsA0aEO/cuyvar9HJWbAnpkIBZ9VUlWpDuxuuoW4cOx1lTYLuxXt2J115A05LqNqbgvkK2uy+2LrMcmCv385uP0k0bIYY6t2MbP5tEqS+f+hQ8xMj66M5dRc2OEcOMEVh24fZPBvvkGYbZnJ46hXj1eFLj5zLB8k590eEdHBJHYRPlBvmGyjGLdRqgUUI06WbkXRf3Qz1yIJvC9VZUC4eTj5kxrWk8XF1xxlZvaoOtuELm0PZNehC+9j6Uou3hPWsBU8Vsp2VgV3l8B4iJTdLdKBMwM7l2A2+mlhg6QhjmddxDia3YdR1fhe0orJyZ2VCC68dqDQbrRkFjs3kQz50/ZCv+B17dwhM5HFWqTXH3hnVWumBPK2zNrSDl2a2i0OzwPDCTLmqokfBzK4FQ+ukWOvTyO+r9VhLWQb+Bhnk+EcwXn9EWUwGAwGg+E3hmXnhYQ9FoPBYDAYDKFhH1EhYYHlBoPBYDAYDKcA570v2OochftdrKe4nOCZsISDQpe1F/zu2o+NqaMrWOz9pqwqP+M1DsD5qivHJ2wlyTTddt+/Ajn7GZmmTIMhbmA2xwzUflzmvveCuKfBr00VOkoAOR5klT5fewj/IPn/6gdy339NFHbTurDfvf+cvwndvGPMqI00BjU6q/gVx/dM8fFCh777iA6c6vtzpmTnPTIdYn1SZROlJu+hvHCwp0qL78bi+Ob3BfKQ9S9Ku8EgT5cqehRkIDY/IYUbn7cKwUO2+Lrvrw7kT6aq0udvgAx9p8WqPcyQnqh0GC8G19XPcMTaxwJ59FNPS2U6iweeY3bp0k1/EWZ+AsffuA95rfAlZFyOOxRaF9NnbSCn7KjHikelXY8FUwJ55q39hY4SuP2nqzwUyI+tnyDMVta5JZCb3PqR0In3jrF1Kl7M3wr3XE0+D4E0CJhSlAGVG20K5J0rIc1+hGoDx1GkVIXFAxVAT17PJi3qI+wG3gQ3hktYvLrWXSGuSyTnAO446BjEdJATKTSw/VSpenFKz0C+r01C3v0joh5dYTx0l+Oh7aw5gbxkHsc4rux8i7BrMhbGQJzqI/4ewPen6VYghmnIsNFCNX4svFCYl9MWSIb1e7vP4gMIdXqk65PC7tmWI/mgp+oHrkfxbr33PpbOEGIvdz6pc8F2JwM3mc7oPfxWsJ0og8FgMBgMhlOAfUQZDAaDwWAIjeMUB6fzX2Eu61wL59xW59x259yjeejbOuc+d84lO+eSnHMNQZfqnPviuO7UbrxgnN+hYsUpSLvOeqmU1GGG6QqpEmnR8ATmHVL7leAq+WvXvwTyL6oAcfY74MLTrLiLgTUY3IopKTJ/fkLtyDztiIjoJXC5vgQuELURmvIatAm1iT8iucWNzMBTNj0kdVhMGFKOT6AxiIdj7c7ryccZ6fAiFKN2fjg4Atx2+C4103Iqi//AgrNrlB26znRhz8gQ7Sfm10MFSGP/ZCW48PTUxXvBlGtNp5AOsh6/kSDHgayutZiAeVqzH8PxKOKxLcYaET1f5V44YDHlZVmkFesFZ70kVYIeBN2ZyqX0NnFh5RNcURt53L9Yhd22OtV7eJ0xfDBOtYFjG9PFlVt8wUgoSj5P+3YAuI6o8bYzHVx4qaDoIO2Ei0al4GdthDUNujGBHpSGeC84fnXNYlybEpUO20AX3kRlh49DUwbg+MPxrGgoxqLvEHWp0u71A1AMWz23JQuBpmQxi091fkwaIm2CpgVANy7ev14f4JmO3yVpM8R7h+fxd3pA2qXnfc6bXdtIu+lwsdFq7OnfLWcSZyGw3DlXlIheIKKmlLNifeqc+5f3HvlgVhLRv7z33jn3eyKaT3Jluc17n19Njf8athNlMBgMBoPhXENdItruvd/pvf+Vcv4MaosG3vtMz4HdJYnojAd520eUwWAwGAyG0Di+E3U6/xWMikSExRDTcn8mu+bcnc65L4noLSJCtmBPRO8659Y75+7V550u2EeUwWAwGAyGM40yuXFMx//pDx2Xxzkn7DR57xd576tTDv/9KFA18N7fSEQtieh+59wfTlfHEed/TNRxv3+M0iFVv07nRV8+eEvDS8qK2pmxXALkGETChZO0E/5unbAZCTKktpavvVOZcSO7VMp1VBV2hqc1hFgUXSoFY44grupK8TFPtLH6TXygq7TrOIfjiFbHOHIgBoqIiBLguB/IiaoNdPnre8EYntgQPycS770abQ3klGvyKdOjS3Rgl26HtPJEFWeH8Ru6mjv2H/uou4HeeWxDh95grIwqN1KkOpfoyF4M8XiqT9cRhw5sjL1JKqG/F9GvgVy2ihwrh+miPPtRjI7J9iJZDEuWqohYHpgZaRCoo2L/rqfPA3lV1FVSqcfpcbSTh3gvVF6VJbmmOOUJ9exFG9Gg0JEVeKzfcwxce2+I6+r21XuOagClU97geV9UBxnhehEFv2Maqt9BGCOl42vwXsKhjdtVG/mEiGG3irSDMUqS9qU0XGwXrs0xsrlLwn8O5J/VmnhkL9CjQJ+O6V9pONf17wGcL2XgnsPUPePcLqbGfSy8W7h0tArw2ng7zD94D9fTF8Lux4qRgbw3prK8Vn5xvmcCp7923g8FUBykERHUPqIoIvo2lLH3/t/OuSrOuTLe+x+899/m/vx759wiynEP/vt0dBxhO1EGg8FgMBhC4+y48z4loqrOuaudcxdRDpPYv9DAOXeNc87lyjcS0UVEdMA5V9I5d2nuz0sSUTM6MWXrtOD83okyGAwGg8FwwcF7f9Q5N4CIllPOPtgr3vtNzrl+ufqXiKg9Ef3JOXeEiH4hos65mXrliGhR7vdVMSJ63Xv/zm/Rz/Oasbx47PW+TNISIiLa20VtfaaDrNOKMaW5W4ifE0n3EzJUaJcSfoouVjrcCsbt5ARlB5XI9VbtqPeGBvITt3Ledo0PFIv4g0w7MHbCwEAeNn6SsKs/ZFUgr13ZWF4Mv9UxXVq5MiJGg4tmusqlxg3am+NZfjRe2uF2uk7HxnT0dJAHKzt8Z/he0qVZ40Wct7yqf2upHApz4EvYyldtCFeGYjNv+fg/A3nZ8j+yQm+7D2A3T7dKCYG8mWoIsw2bwH/RT7UBBNV1qwE7+g7l8h8N99JOtYHp3vEsjq05UJiNPcYD/+AzHNPZ7PElwu7d/pw002PKFKGb2RHYplNZrPXpp8JuYxt2eQx5UzFDdwRmaHSdLSYJYOweXHuMUE2cNzyQi8SBu6mbdDc1fO+9QF5Tvyko1LXyY55JB3kwi7V6qHueyvdcue8moduZAjQJ6M5MVdeKBhnf6wjFBzIRBnC6VCFTf+t6CwJ5afeO0g7naTvVBqb73wXuzHTlzkwEORpk7S5NZbHtqDlCtWQGUBzgbcapNnBN0GzxyJDeAfp7VO0tLIV5pNd+XBPw94yuioBrP66xKnxi4qi+gTz4VlW5Am0Xn2HG8orOJ+l16L+E+4sxlhsMBoPBYDD8z8LceQaDwWAwGELjLJBtni84rx/L0SPF6ft95XIOopUS70xnoqAtJrroDDHYQo+4OTTddsYzsMet3VII3HZWxTZFFkmMVKVj6hNsfv6oK5bCPXcAauhhdz0nzL6lK/hAZz3hVnM0yGrbWRQT1o8mEWR04T0TL+3egGOVcCSO0Y2i+4suQXSJKnfbAbwBnVn3A2zXx8BLmq1SkfDdqkyqA1SaD3DLX2cCQqbWjkpVAjmdfqf6BHILqQorzxmEn2dcz4pMlVUUDy6KZOVSgXEUcQ2/wO+pnDC7oignwxw8yu68urRO2L0bxu6822ml0M28Gdx5kSxuz6gi7Ii91nKMEsn5gnNbOwPg9f2gBy2M06KQZZUdLc3K0T4+wDGlV0t0K+qsNRy/ok+lpR2MxQOHla4MnLgRLhCZz7XQU52uOhUDcrJqA+aVyP7T65nIVFM6eNxhkZzBnJWmslzxueFc0deC9n+iS6UO7xnnepxqIxJkvb6Di61spe8Cef8SlRkaDbKez9h/7FM7ZYfzORRTOqnxofubX2ak4azhvP6IMhgMBoPBcAZw+ikOLgjYR5TBYDAYDIbQMHdeSFhgucFgMBgMBsMp4Pz+tvyhCGVPz01PjlS68iFkIulDXwryAEX3kMgxJneUeDuQN9N1wiylIVxgsboWxihgBft20qzUzXsC+WCqLA/09wNQERziDva+pWgdIG6k8tccABJxRbow2zWDgwFq9FY0CeFMkyBiydQzPDL9MgoJ9N1j/BHGQBERdYDj0UqHcUA4SjVdGsQo1GjE97Ll4xuFWcoLEIihmYsxNfsa6HyqshOszlL1SXgjPsB4KR2PB0wla8vcxgfJKp4JqRFUbETWYogxiQbFbGlXZDQzb2cvVTFREG5zd4nXA1mMNSL6W+mHAnlgJKfj36bo55GQ4Bb6UF4LnwfEjWS9oWJl4nj+zUn5s9QBlUXZ574J5P2JMn6lW72XA3l2yj0UCkcGw/hVq2A7mMQLrwEOFM3mj+9WxeCJdHcYN3vHqzmbzGJGMTXJyuRtV/W5FGG2bXhtPsD5pikYsL96DsA6uCQM6AOilR3GJOq5CH3MioJ3q6hjao1kmoeNE4HJW8cA9eGYvlXrFS1Jaww04zl7b83nhdm0Jwfxgf49APFMIg5Kx2fCsyn76jdCtX8gnAe0LJWekwNiVy944PBey3aV7U089GDo/uoxdiZhO1EhYTtRBoPBYDAYDKcA+7Y0GAwGg8GQPyywPE+c3x9RRYhdR3p7GreddQo+bi/DrnCtKnL/eyO4L26FuoWXqgLEKUfBVaRT8NND9EOlq1YrysVz1+6V7rwjK/IutnmCqwi3w6GuZfTVqcIs5QfeJ47U1MU4IvIrEJwfgT7aottLb5OjC29EvNQthWM8TzOAx7BYFIviRiq7dJA16zC6JfCeFY2B8GBp1w48D+FuWqzSpZNBxgKxmi0f34MeU9h/HFOKoDq2HI/nT6IaSSVcLxb8PlNWPCTMYjp/lue1YugzYYf9vYR+kbrwELJ6D+WrfM2Xek25vWBM3QDXfveofL5ibmp3E45L1Klxic9DjAftXskMIevzcFnRcyAfFvxQLu1q9JUw2/YxuPOAefwEGgMcszpdHtcSfC+6T/o+ESEKoGsmclEYOx3cecpFXrUS222bW1voIganB3IGvJhL6GdhJ+a9nrOh5ph+R9EsXqMW3f2ZebsBqyi7XVnV87SLpB9leyvycSueTZg7LyTMnWcwGAwGg8FwCrBvS4PBYDAYDKFhO1EhYTtRBoPBYDAYDKcA570v2OocRdEbY/wlH+RUXM8cUFYq8/P/I+JA1v7/ZJCxgrVuLxFknVaMcRgYU6ErloeKoSCi+FnDWO41NpArv6qqvvfnqu+fTOFyIHXXfSHsatWDFOPnbxI6cW3sr4q3KTURKBlGyBguEduQDLL28WPMhy7F0jqe5W4gq0xnEb+BbSRLs4Zj3gvkNU81FboifQ4FcvYPJVmRoK6F71KNgcY9OA961VToZLpqowPPt2ZV/hXI+1S5lZTVEGen+zGaX0blijsCeecOSb1BH0PMlf4rMhnkniyOqjZUmL1A9wXy3hkcp9Sp90xhN//BHoE8bUJ3obv3iVnQJxbDF+8XdpmzeQ7f2zefVHWc24kkEc9i/5p/E6opL3C8V1g3Lp2T1U9SLTSawwFuq3vBII1U1wpdCUrOASjzUbmHmrPzeM5W7qx0m1gnYoz0deNARrqO25UdUqzouECgR2nZ6J+BvKz/H6UdxgnGSRXGK4b34XebmazW5lSQcR6pNQbt2j4+R6iWPAk0DLiWdqPQGK2O4Z6Lt/hPIB/Zq+hbcE3ML0asZz52CAyXulmqxjfn+TbkzhelEsfUbLfee6+LHv1miL3a+aSRp7dN14vO6D38VrANOoPBYDAYDKFh7ryQMHeewWAwGAwGwyngvP62LFIkmy4umZNOnZkfm/BdSodp8ugC0luwodyAOnU6PXQfxVYz0jAsVXa4raveikjbTgvxcyLh5kiiOnywWLVXD87Tafyh0n5TKTR06jdu0CaC3FDZ4bW0qw9deLNB7hcv7dC1gc9UjYeL6DAfKFdGdiq48LAf2h2COuVSEe8C36ViEacw7seVtDuQtTuPosDNHinZzCPKpOd93WLqIX4JLOX6XtB1EsbM0DpFPPPQpXwArqJ9vVV/YZwvp+ZSp6k4cnFlyd3ieMvH7Pa5tK8a2zgWI0HWKxi82xI1D1MoHDsKJ6q0/QNUuuDr6mur9HyxRsB8OGHO4nUPlxbHRcqAm7k6jNH83IigK17mP0J1pAy4qTSlRiSLpekAH0Qrux9CyERifvyceUmeP9fXEs9Qv0u4lxL0q9ThWoLjS7eBa7qmZ4D+l4B5eUSHZOBaote6dLTjeUTJqkKAXvuOQ1HFXNwc5l+61OUblnImcF5/Lfx2sJ0og8FgMBgMhlOAfVsaDAaDwWAIDYuJConzOjvPlY71dEfu3mtPpUwHWWeiJIMMrr26u1cLs08eZJbnhAmdA3krVRN2Y7b+lQ9GqGthvyazWHy23GrvUJpTZ+Y8pYqvhhq86eq4D79Lv5g3GW8ZslKYrW3TOJDrv7lK6layTjynFiTxDMg6qyYa5DiQ9XY6ujy0y6cdyOhybRgv7Sbzcev7FwTy0qkdpV1iiLaJpLsTC8dqVna0021A/8MWQ+ZXvCqymxyiDe1CQBdItNKFYldOlGaNt0DGYC+V1pjK4pvvNwnkNmPlWNkyjC9e42E+yd8nXYzuWRh7g5TuUmAwTwSfhHq+VWdxYd1tD0qGanSRtu/MPtKFY2U61tPDuIDrY8MnhGxDjF+VGfrdgshArvBWOisipZ1YV7R7DMcRZsWlK7vkEOcQSRfQRBa7LXpZmM2+AQotYwbaZJKIDiETEU0HGV2/2hWHri3tVkTXGYZQJEuzHq9OCeSZNfrnfV0iqj2JH2rKwzKNLeq5bYGcNrxqID895kFh99iTMAa0Kw7vDfuoXd+LWbxxzhqh2tAfXhK00W2tekc3wTsC926zKUuE3bvj2/KBdpfi8044w9l5VZxPGluw3cnAdbTsPIPBYDAYDBc6HFntvBCwjyiDwWAwGAyhYe68kLDAcoPBYDAYDIZTwPn9bVnRE43OTSv9WKWUor87Up2HMRCDWfxkuap0Dz7p1+nuQP7o0C3SDn3V0flcC8JSjkyXrLhzWkAclHS7U8NlIdi2NXVDEseifDqEuQvW7rhN2o1jMV0/HDzEvuu4MgxFSVW6GJCRdkCzkmNaeIzS4fXw+UIMFBERDeDjtzs8zD/XcVrPQPrxl2qs9AE5PZ8+RYKs7yWeL3hpBActZcWomCgI7WjUGZix98RJuzcgdiifeJviccC0vEaOqVVLYMBFqzYiWZxED3CfhslApQkEMSbQ3JSrewg7ZHOfXL231D0J94IrzjPyJW2byXFQNSZsELot3W8M5EVxd7JC0ZJsJmZtrzomRei2vQVxVhgvNFe2gSztIs4sWtqdEOMXSoc0IjrVHeZH2SHfCNX+J67iA3j2r++7W9iJ8ftOiJ8Tibgq0pEoUJEhYgBPuIzRKpAoBmRNK4PUMRjCpO55XgbHl4o1TMVYpazkRsLjJbt92iaOg8JrvUltZCMY35RAoXXQx4h2siMZa/gZ7KarhE6sMz1ZnL1DPfw4kOGRvru8rTBrNoRjpN7tInVnHef318JvBtuJMhgMBoPBYDgF2LelwWAwGAyG0LDA8pA4rykOomIv9w8k5WwND1s+SSohfb7SELnnv2sdU4f3rsf7+jOWD5BthErn1czmuC2cD2Nu7faQsttfVZ5ENlq11e5vYTedm8bva/yY+4TdkBlcsLJRb3AVdZT8BAsX3BHIPQ7JQrKZ25k1OvwaKCK6VBYRHd+Zr/0P+pPQVaOtgTy/F7h9egozqtGIXTZF6ZjQbZwHhZHB5dF61gJh9/Y+vpfs8s+xQrn9Eu+vF8hxL6wTui73vxLI64jt8D6IiA7TRYH8laK5WEqtArkH/SOQU1Lkex5e+y+B/CewQzcUkWT9njZvkND17sxjNg78TV/Q9cLu2Ye5YmjL5/4pdMt2gdsjkd2bONaIiNxXsD7AGC1S65Cwy94IjNrXHBE6Gg3uU3D7LRx2hzBrf9vbgZz5jlyxw1fA+MDUb51mD278jEcvEqqKWVw0e2BJXi/GLP+rsKNa4KNJgJvWLjC8dqTSPQoyUBwsrCnv+a/E4+FOWiR0OAauJy4iPm2mHA/9e3Ch5SmrucjyiEaPCbsXj90fyAfnyqLh3bpySv4D9PdArpsii5ej+6pxPVl2YTddGci308o8f05EtPQ1ph9p2ZXHpaaO2fk8FFQfJMd208Mc4lC6BDOs71xdU9hVbsRFnXeOlzp0TQ5o8mwgr1QcBxcDi/+G16RvsmxXdsF2gBc9pf5Dwq7+WqaSEeEVQ+V88yNhrf9Q/W7GpST2DFMcVHM+aUrBdicD1+TCoDg4a+4851xR59xnzrmlucelnHPvOee25f7/u7PVN4PBYDAYDIaCcDZjogYR0RY4fpSIVnrvqxLRSpJ/yxkMBoPBYDgbOE5xcDr/XSA4K+4851wUEc0koqeI6CHvfWvn3FYiivPef+ecq0BEid77avm2UzPW0/xcquc3lBK3/DUDLe5C4xZptLJbzGLUJGDI3VpV2uG2/kuqjRiQMWNQZ49htpv6fGy7aE4gL7m1CytmK7fJUnabvHv/rYHcbPUH0u4auPgPqqolsoing6yZi3FXW2UTostGMCFr1nNsP1LpUkHGZ1Vd2aEOJyZk7RERhWeyKyNzgHRNCqZo7EeqNBPHkVJV/v6dgbx3dWVWTJd2eK3abdm9+8U+6a7I/hLcY/rPiXgWI+Igk2qpyqTCOaAXrUQWa8xit+q1yoVZDNysC5/kQfr0SMUM/SAzQ4+aMFTonhgP6aCpLBaPVwVyx3F2Yf0xikn/QWDSHwzjfqjMtIxawPMUCzwTEa1dAm3guEkQZjR8GbvYxvQCV5/OrEOWeZ29iu1DBlqR1soNOhfec2u1Fm8HVw/Mv/A4mamWORfGM75zFTEg1j29/oBTpWoPYI7vopjjMaNWr6u4dsSBrF2uN8N9vuEoJKCNyvU2CdXOD8E1ByETNXqrrM6nOKvzhMLx7UCOAVn3F7NjtfMJsyFxbdLFgpNBxuoMiqW+U1cOr5jfVGXA4rNffIbdedWdT5p2ett0jS4Md97Z+h6cSESPEBGUiKdy3vvviIhyP6QuPxsdMxgMBoPBoGCB5XnijLvznHOtieh77/36Uzz/XudcknMuiX7cX/AJBoPBYDAYTh3mzguJs3ErDYjo/5xzd1DOpudlzrnZRLTPOVcB3Hnf53Wy934aEU0jynXnGQwGg8FgMJwFnFWKA+dcHBENzY2Jeo6IDnjvn3HOPUpEpbz3j+R7fnisp+tzAhPqrl0tdIepRCCnrFfBARgPAMSyM7ZIJuDeKa8Hsj/Cvvv9seHCrjFx/MbG124SuoZdgW18ILOND5j0rLDrSnyt+nsURXUUO9hLHeU07YMxKk35C05Tnhp+byAvyOwk7Hq6eYE8zXcXuunwQD47cEMg31H6LWEnYrO6kQSweTduxYEYBxTFccoL8F4U+3PDYfzcLqLDgbyqS2tpCEzkiZU4aKX1IZl+nRn+QiCXOnqP0B1sAc9xIig0lcVskHV8F8QtdfoR4hpWqrgGZNHAaABJFC5jSp5Rc3QcxJHgc0uSZsu2cCMtn0qUSngV/mpIq24ur+XHgq4O6/xURYUwCHQvSF2f15lO4H3i9O6dt8qU82kf8Fi8180Suqqe43T+QfxMmx56T9jtKsmM0qWL/yJ0pYDi4GB5eOcJwoz8J9z/uCeXBfIx5c/YRxxxsG29jB3qVAfGwDoYA2r4CsZuHbOTALFfz3Ds1/opkg6jzq2bA7nyB5DSf7VK6YfQtPAWKq7qrhBxVaMpNBTT+wlxjceh5tFXbzLlwbV3QtxanLRLGMTM5j3LzhO6Ifu5Y+O3jgjkX8vLsXfRCB6XlSepuKod8By/DDGniET/3xzZRKjaTGUqB1wDNv5YRdjVunMHH8DvnIWtFM2HY5oPSlUxr1iV464zHBN1nfNJswq2Oxm42AsjJupcYix/hoiaOue2EVHT3GODwWAwGAyGcxJn1TPpvU+k3Dwh7/0BImqSn73BYDAYDIYzjOMxUYYTcF4zlrvrYz0t/jTnYLpKlcUXXkuqREo+pulGKjtwsZQfAynse66Qdhshn3WxaiM6RJ9+UHbtQFZp8Z1eBtdAR3YNRMxWhTJf4hT3tYNiArn++mRhV74O3MvWykIn3EqRIOsUbkzNXap0uEGLW/66aC+mBOv2M0Po4pRdJMiYOqxcW6Wmgyun2MtSOTeeZaRn0Nv6uo+Aql0hLXw1uHYSlCG4Pus2YRc0uk6JiI6kQjFh7TaBZx8RAxQHyYriIB1kvQACJUiNKZwWjszYREQ/UOlAXtWffVEjpkg27NEPPh3IJ1AcPA9+JHhHYaMPCrusiVysudFI6d9cPRX8pzi+JpNEPLtAGlVaKVSr34I2MAU9QTYxeNaYQJ44fDgrNL0Guqk0BUgqyOCyC7td3fMaKFCt5kdYNNtmJYGdZoQHxnnRj2ukmeivdlXDuGxdh6sCLO3VUdrhc9MUCjhf8Nqpyg6pIpJBjlR2MGarNlfFpD+EOQZtINUIEdHeF2B904W84Z5rNOc5sGXejdIO547uI7aJv0s0TUIqyOi2Ve7dbm15bZrdUYYdiH7MPcPuvJrOJ71esN3JwMVcGO48+7Y0GAwGg8GQP4ziIE/YR5TBYDAYDIbQMHdeSJxLgeUGg8FgMBgM5w3O75ioiFhPt+QEvxRJUOUU9kI5he0kgeEW6Sx2WjBTmM2fyvFHy/rGBfJmkinGQ1a+yAc6PqgdyJAiHzFZOs27l/hHIE9+TTE7oA8dYw1UjE7Eo9xm+uMVAvnWce8KuzV3MtVC60ULhG7pDgi4SeQ4s/C7VEp0N0iJjpT9EDFo7WB8/aDi1jA2TaV3F3mG32d2KrzLiepakC7cpckrgTznrT9LOzyvj1TRXfEsLwVZx0RhaSEdZ5cMqkWfBvLGhyXlhRh72A9dLgjjRlRpCPHeMfZLxbn0eJ/Lrs98sr9UwvBbOyUmkOsPTBZm30/iogKXt/wpkH28ojiYDRQHvaXu4qsPBHJWIsT2qFivRnP44azuqDgkOIud7q39fCBPWzhImI1qz/FYT9wzTujEXMTcXxVKlg30DUV2w/jVcU8IHWOEpU1mw/NIVnaRIKdKVakVEMc3gCkZBk8ZI+wm3gRxW29AvFQ/WRJHUJHomB0cl+1A1rsPySDnFzOI8UHqPY/4guPpRt/GsXR6XjbqCuOhlxwPjV/lhXbV8xxY9OKgnsLuvtsS+ECq5PuMBlnH2cGlu/WV8ZSzh0PcEqxhg99U76g7vCN4Nm17zBF2SwYCdYyOacPfY5PPcEzU9c4nLTq9bbqqBcdEOedaENHzlONMnO69f0bp2xLRKCLKppw3Oth7v6Yw554u2E6UwWAwGAyGcwrOuaJE9AIRtSSi64ioi3PuOmW2kohqe+9jiOjPlJuWVchzTwvsI8pgMBgMBkP+KHqa/xWMukS03Xu/03v/K+XsabZFA+99pmd3Wkki8oU993Th/A4Vq0Bim18AWcnLKF1M3rqP6JaQl0Km5RPsMDVZu3miYFu/NW/rZ2yUPoSVdWCPVxKiU0Q8pLEnwHnKzVO02DE+eIjFNZuaSsNx3KcSwAZORFQ8kl02R2I4zT4zraywE1vvqiI8pnGLFO4YZXgN5EurqufZP4ALD7fdtWsrncV1VI8PIpXdRJB1BXt04bUGOTle2mmWckRPdqNcSvwMT0gDBzdd+bZANdFQUU2ga0S7TWCMhXUI8ayJKBHGrHCvEAk34ApQlp8kU8TfpDZ8AKn6G+rVkO0lsrgzRo7trPXQr3RQPCNT9dcfqhPIpebuEbqDK9idtbk2/EGZLswoHV58qZdUG+8AS3k8KJS7/7VS7fngU1BESjsxjpRLULiuY+Dn3VT4xBtgJ5kh6GAa1GDvx2ISKQ9IqDVwgDpOB1mvicicjq7kVGWHvzH0uIR1MGIorFnV5cMR6yf2Ua0BXxy7ng9Gy0krqh/EsfgVVZONAIv4Cf3F946uM83SDm66L+h6qYvNWz7hd0QMyLC+6/5GTdoWyGkzqoZu40zjtwksL+Ocw4CEabll3Y6jIhEBpT2lEeEin9s15+4kojFEdDkRtTqZc08Hzu+PKIPBYDAYDOcjfiggJsrl8bMTgri994uIaJFz7g+UEx91e2HPPR2wjyiDwWAwGAyhcXYoDtKI6Eo4jiKib0MZe+//7Zyr4pwrc7Ln/jc4vz+ifqbALZGdWFLq0K2WrM7DrewVLKbFqnQI2GhM7hsTyJHah4AbkvpaUfBBDOy2xYf+R5j9RJwFpd0Lx46CAzkf1nPhrviOxWZ9lgi7d+exa3hR+J1Cl700RFajdkuhLlGqRAYWnjdb7dengqzdoAkgoytKF+qNYbEabQ3knamq+CpeWrsycJsfXXgx8dKuGxzr/m7kTKi1Kxrzz3UWFGBvdXDhaVdDIsjaVQTuzawf4FmvkGZXtuLd7F3PKLptcL2kQmpS5qFLhdm+kuX4AJ7bAWAyz+kIi5W3qZsuA267vZAx9obMHqswhNe4bVtlQV98PusO1Mvz50REW8E9ItxhRHLM4nlqHgl3LLqSdQZeaug2aDD80bsX1oBE9QcyPirtZs6C5wPZm19MVi4lXH8ii+f9c93HaKVD9zEOlURlFwOy/u2RymJGEgxa9Y6+oN/zAY5ZNS8PxsAYy5RrR8pCWFgga/azOZL5X0AzlseBnBVCVn1MiVELIa5H4Ka7uL0sfi2uDe2XpgPC7Ef0Geuscn184eNTIqrqnLuaiPZQjtP5bjRwzl1DRDu89945dyMRXUREByjHeZ3vuacL5/dHlMFgMBgMht8WZ2Enynt/1Dk3gIiWU04o+ive+03OuX65+peIqD0R/ck5d4SIfiGizrmB5nme+1v00z6iDAaDwWAw5At/Fsq+eO/fJqK31c9eAnksEY0t7Lm/BYziwGAwGAwGg+EUcH7vRGUSs15rFmr08et4BYxtAIbxWi/LIIKNmcw23QEc75/rNFeMWTmBuThv3ZGsi4RZDARTpaXJ1NbMBKAXwHtJJomhEHsC979bxNdRLh1ZDmI7y3v+pHwjPkgFhY7LmU2hgXEkGMpwQho4yIlKh3FQ2N5iZRfJ4mGCZ5qq7PA2NU0Ctok0BhgDRUQ0G47bKR2yr0+EeJhx+bC0YwyIjtfAOBIdo6HH83GomKhjSMYSqWxhLN4Bf6zNmC7z4u8Y9FYgP5Y4IZCb3rRG2AnGeb2qYGwP9kM18SuV4APN4A7his1LLw/kpZkdhVk9Wse66VIn4oCwfRUKGUOf8QG+h0jVJ6Q20fEqqfDesYqBjpFLzqf9mLzbv72EfNELFwMVOcYzqfEg5p+ei2ibDrKO1UOkq2OMD8J+qLHdvAe/v9mLgfE7TtpVrrgjkHcOlzGOgvYlmW/mNnpf2K1eChNaM4CHYvtvqOxAV7uavJmULFjgF7NYbsI+2QaOD1gTL6GfhdneFyBOUs9zvQ6cQXhHdOz8/lr4zWA7UQaDwWAwGAynAPu2NBgMBoPBEBq2ExUS5/djCSfeAs7PZafT8xNB5tqVtD2jirSD7VNMnT6BFRe3vHX6PD7hGJCTZMrujopwbf1WkI4Mt8y1W+oonNiAxe0H1D42sBMf1fz71cEV9aVDQ2VHoYFuDnwPmhYAmdn1c8PHgy6QdqGvJd5LpLLLj21c9yvUz9GFtzhe6ibycZFw3qLPLq+oN/BdtoYBFqnoH9JCyETSLYVuGTUHth6D56FdGTBmRUHtOGmWTJAyDu9o0+WKYR36sfNq5StChg28F3WtXVthULWWOpyzor9qriBdg25fjCNsX7nitmD7qNPjIRVkPX7xPvHZ63lzNB9dLIyPWB4fX2t+gpgQ19VuqaMhZCK5RmJ7qjC4gOqGuE+tAwjWb3wPUdJu565r+UAx7l9U4lc+gHXkhGeDQzFddQSfAc5L1QTqNh9Q5dewfVhXT2A2x2cDY1YXsxdjVlNURJLhHMT5/RFlMBgMBoPhN4V3REeLnu7on+zT3N7ZgX1EGQwGg8FgCAnvHB0rdro/F34t2OQ8gAWWGwwGg8FgMJwCXA655/kJd1msp3o5juPG7y0Vuu+Jy1Vs3if9ztnJEKcCldPnf9FG2HXa9GYge6jKnqVKJjYuuTKQ1y5sLHSN2nMQ0+rhHJgzZIwsFd4HeAdq7pPEqhhXUxlIV3e2kWm//d/8WyA/5oYE8ie+pbBrXxZS2vdLJvw3INBq2S5+Hj0qTRd2M2/rzwc6NgtiO1o2+Wcg61Ihn6wEOgVVzqXxc/w+sQzHktu6SMPZHDeSXJHLSbRQDe79HcfwVP0xRei23QklRiYCTcRGWZZEpMWrGA0aHB+I9/rfBfK09YOkHTIIYAzMYtUexIoUnyhLBB0Zehn0ERQqBfqDL+oE8q1PrZdKiD/xl/DYdp3kFrv/C/+d5e7w8HNJ3eCeBd1jUjf0rVGBvAIeXEp9Gaz4+tp2gXy3WyR0tTwHiMymroGs3/M3ENd4UaRc22r4DYG8pf6NrJBTkfwi7n/c5GWBfEzFD2KpppQdskB87yovBPKMFHjpeq7gsYp9i5gOafwDOPhmx8sVhF2VG7jGU63PPg3kjTfcJOzoGRZL3b5HqA7eDiWjMHYsQfUX4z8XKx2G9eGmhaJ12PEq979KU6hP1U/azW/P60+ni98UulG/8ML9xK4xgeyLS+oYt4DHQNVBct5/d+iKQM58CWhkYmQ/kIZi2ZA4oWo5M5EPYH1IXStLDkX3+p4PIHbq3ea3CrtmblUgF/9Blo458jHM+9ZufQHFe08rbogt4lepON7/FqXcL2f0Hn4r2E6UwWAwGAwGwynAYqIMBoPBYDCEhCd3wk6sIQfntTvv4tga/pqkfxAR0can1NY1ego002stdtlElOcq2qLyOFHIquc31pZUyxs+hFxiTbUQyWLxWuyWKVpM5hgfA3qCI6mXCd20Ot0D+d6VswK5bZM5wm7JW+zq8sXZJXFHs4XCDiuHz154j9CJtG10N6n7qttjdSALtxyRdEuUD/FzIpEyXrbeN0K1f+pVfADvMiz6oLC7NIL9C1fQt4Gcslq6ijo1mhnI81f3kN1oxC4QdB2unSFdsxTHcwVpDIiI+pRjd+c09yMrEuOFXdVG7FK4AfwEF6kgyxXUJJD3rpN0AjfW4/F3KfhXdpCk6LicmDV5wx61a57KW/OVG7CL+C/0V2H2FD0WyNt2sLt0VJWHhd0Ty8cFsr9BuvMqXM7M03vf4nup0WqDsEP3GLq3iYjiN0F5LHQPRQozKhJ1KJBHlxshdI+9xozr5bvu5OaWyOfbo+2UQJ6ZAm7rcLVWJsJ9agoJ6Ffl2vx8r6Tdwmz1Ln7PtSolC50YiykwFhU9QXj1/aw6yr/oroyQ19q2BygvvpSumVpNeA7cDvTlE+cNlxdryItpVEXZftoeroxwY0V2v2JoBRFRWgpXZChSnt/XRWGHhV3WD+wWf6SKHJfPPj+SD4DioHg76fq+NJKf4cE3KgpdVOdtgVwH+AQ+OPYHYXfwSzhPhR0gJUH5Ojymfj1WQpil/xAZyNlrODyjfvtVwm4g/T2Q7164mEKiw5l159WOLeaXJ4UXbHgSqOAyzJ1nMBgMBoPB8L8Kc+cZDAaDwWDIF8fscyFPnNfuPHdVrKdhuduwulAmup80mzAywUaD3E3ZQbZFoym8j7uVrhVme6eCO0AX5o0DGd1ZikW9eAfehj4yQrrzyk5hV9f+puDmkt4K0f6vrdnVcNFe9Y4xoyv2iNTNhow0dIPqgqU4nzSzboiiy6R3g/MrqBkJMr5LzbQcE0IeJ82oJ8j6HeH4CNV3otBuSiLJvIxjMS5e2g2FYyyarZmh0WWl+4Eb4NgP7WrAbKfFSpfMYts57BbWroy+RacG8pim7FJZ/F5zYdeuDReVffPNJkLXZiZnr4aqFkBEMrsrRg2Od1gZ1oFduln9SgmzGnPYRbh1n6wskJ0AWbnYvCqE/OJ7PQP5vicSWKHfOY4HXYAY2bfxPO28wKTiaKVrDfP2HZ7PZe9Xru+BsCagW1HPr3SQtWsd+lj8UViLHpVrkWhDM6zjOMUKAcnSrOwkWM96hei7bkMD14G5LNafIN1ja58AN6h+R9h/vNYbyg7HZTulQ68zrCNFBhwSZtmPwtjD9gbL5spXAzfzbaoqAN7zmjPvzns7KfK0thnlDlwQ7jz7tDQYDAaDwRASFlgeGvYRZTAYDAaDISTsIyo0LLDcYDAYDAaD4RRwfu9E/UDsk56rdBiXkqx06HuH87o894owm3PNnwP5OeKUbl15u2fDeXyg4iuQnRb935X7SlbyP9E/Ajk+ZqzQ7W8DcQM9QaFiYCqN4aCE4syKQJ1mzRR28+/iFP8un80Sunl9OgdydiL78Ut1UAzHLSDtV8eKYAzTAIi52qsYwLH/yaqNcRAPgqnP3RRrLsQwDa/9l0Ae00GmRAum8MnqWoNBbkihge9We/Kh/aprmcZgG8ZAERGNg+NiIOs4DIzXuEvpkkHGeDQV69V/AjPYT0l9SCph5j9PzKoe3e57Yfb0i8w2PiaGn2nbRe+G7G/rRTIuJaoHp5KnRXN6Oz0qm2i9dkEgL63fUSohxm1oBB+MbvG0MBsNgYLt+7wtdOJ6PfHC0qz/Rp4v93VLYEWYih/8AcazmosRQ4FtfCJMkAHSTsRBqdi3IncxjUZ2Es/FByANnojoiTXwcDDOTsd44n1qxv2JLB5JgzioWsouv3UV530qyOq+HgXq9CHJL7JCxa62r8MDemFHeTN1FwDFSiJTrAwjuXa2S4KYKP3sQ8W06bhLuOfedeTiMWM6NArxbaNHKXqNNKbXwLXj3mrPC7tpbaDCgY4ZxLhJ/XvmDMB2ovJGgR9RzrkoylnGbyWiK4joF8p5nW8R0TLv/YVRitlgMBgMBoPhJJDvR5Rz7lUiqkg539hjieh7ysktuJZy8hked8496r3/92/dUYPBYDAYDGcenhwdtZ2oPFHQTtR4771OvibK2Yn6p3PuIiK6Kg/9mUE4Be6XZtWWCFVROhbIH9W6ReqKse7gUXZLtaF/CbuPhvB5N+3mx3B9KflIXq3ZK5BXj5B5ue2rwZb0XbwlrRmZb6P3A/ntvncI3Sdf8nZ17a4fB3LKeMmTEAdtpIFrZ+Asuf0/vzq782IVP8HWckzfcKAz76/fQh8Juznd2NV5AoUEpHd3q5QQyDsqSUbttWVu44OGkuW6WRV+F8jyPKOd3JNv1Jn9KOgSfbutfIYpb/CzqttktdB90oefb/m2kGJcXaUY4322VvnjI9jNiEzk2/rUlnbownsGZChgTEQilbpGI8nsvSUMiueiS0IVt8UxNqWfcueBV7TSh8x4fYJrlpkLqMhQSNseKM2KTwGm6FZSd9+d7LJZ3KhdIH9yu2S6RzfV0vLSnde+AQ/oVsRuusU97hR2t9IHfKBS8Ks2ADdrC34vxUdIlmv0lnV5Urr4ET9XujiQP4iR1BB/KspjcfoA9rFlHi0r7AQth3LR1Cu3LpDXtmC3lF6nnriL3Xnta8N600G6wMKH8nsuXfKA0O06Cg8LPeZxcpwXgbUz+52SQnfCOhBcWB7GIc8FuqrbSTscvwuvUe484mezdTBTWTQ/pNzMg1ls3FwWqU+lqwM5/VhkIB+8RjKbY/+b44Qgohl9YD2CuXMnyQLaj3Vjd16RFjyPetGrwm5aNLvzqg5RhdKRcT6BDOcI8v2ICvEBhfpf6UT2DYPBYDAYDBcIcrLzzu8Q6t8KBbnzviCikGyc3vvfh9IZDAaDwWC4MHAhB5Y75xwRdSWiyt77vzrnriKi8t77Two6t6BPy+P5Affn/n88lasrEf18ovkZxi8UZIj8QKWFCoteZmxXPoqPQU5mMV1VM921Cba4uRYmpZasJOy+pQp8oNi7N1e7Lk/d5t4yw+8G+iyQP9khXQOYufXFo9fzgdr+zxzCBVyjruCfz6d60hDO+5kuoVDYtYvdb9dV2iyVi0FW7OvoDthMNQI5HR8iEVEyuPA+lqp9Tfj97cMCpur5rt4Tx9eqyM/0i33XS0PInvrswA1SB8z0exuCC0+z4GMfI1WW4GIWL3oVignrvVzMwkMX3sR4aZfOx1uiVH+xH8hsrvaERRapZjNHIPm4zhIEj5tw31wuzY58DBldKsPxC+J38Q1xkVo9fpMwbUnpPoc2cJ5u3BUj7A5UgnVAZSumPwfjL5HFI+8oVm4gQce+axymiwL54MfSBfR5Az4v82Nw4S1WjaSDvEKqto4G900ynNJZzSN4Z5uHwTtX7WXGcj8ya0WGbENkDEbLcZ6dCgeJsgnhtguVqUdEvw7j5ybes8oE3F4N0qgTpK7YGHYrZmzk9T29ToQ0hPtaHydTan9K5/UyOxnGtvatwH39XFOtlzgX4XnvGymLLuP7yy7D1/qilRpfCSxu66dCAZLJ8NvhRSLKJqLGRPRXIvqJiBYS0U0FnViQO28XEZFzroH3vgGoHnXOfZh7MYPBYDAYDBco/gfINut57290zn1GROS9/zE35rtAFJZss6RzLvj70jl3CxGVzMfeYDAYDAaD4XzAEedcUcoNX3LOlaWcnakCUdhIsd5E9IpzLiL3IhlE9Of8TzEYDAaDwXC+wxNd6BQHfyeiRUR0uXPuKcrJdR6R/yk5KNRHlPd+PRHVds5dRkTOe59xqj09rQijII15wyYViIGZuTouJR1kSMt9Q+eIQxzJkiHNAnkrXSvMtq0D37WK2dlSC9LRIbxgBclK9yUIWLmXynR/ZCHOXgMbgOqW3z8GlAGQEfw+3SYNgQk3ieoI1YaUhqjk/rZTFMcYi5MuVchQvKE8tPeDssOYDTUSU1ZDoFUU5DZoNuE3+KEuH8TBPdlfqo3SOBaPpKoYGHyOSBmQqK6VGcKOSDxT8W73KjtMu28HMsRAERFRAhzfpXS62n2Ia4l+5BPnsTqmLh8MlmZ7ukGA0Aug6KfaQ4YRRTa+/Bi/l4PvQOxQtLRLxJek2La3rec5NrcOs+rTGsmCv6ISjFPJNkL7VwIbSwwo1PqQBUvnxk0QEpFKoaHGw/pYiL/Bca9pANJBVsvPwVQIbITYm1nUXRpCyOeWD2G9iVTXwrUpS1UPwD7GgJyq2sB1VbePOlwu1Jq4iICWAuezYjZ/vdXdfKDYxlfgBRJZfKOOeogw3zLmav4OAIZ+KUoGnDtvk6ROEX2G5t+kNtIuHWR41stFQCJJVv1E1Q/1fM4sLuzsPO/9a8659UTUhIgcEbXz3m8pzLmFcuc558o552YQ0TzvfYZz7jrnXO9T77LBYDAYDAbD2Ydz7mYi2uO9f8F7P5mI0pxz9Qo6j6jwMVEJlEO7d/xPo6/ohL9ZDQaDwWAwXGg4Hlh+Ov+dY5hC0tdwKPdnBcJ5H5IGio2c+9R7f5Nz7jPv/Q25P0v23secQmdPG1ytWE8Lc/eKpyslbi3rYrHoRsIdXp2qD22WXwZM1imKyRq3pHVxWywiqba1BdqBPFiqGq1lv+LqO8FHoQq4YrrwB0PYTXdrynpph1vXxdT73wiuRO2KQsSArFKphXsMvcrKvSL6oekEUkGODHGOtmsH8kRlNxvu8yXlLkXXA/ZDu8DwWqofyHp9ZDu4C1WaPY6xGl2ZiXzLDkVjsB362CJe6h7l44h4KHS7WLkr0MWkny+MlVrvfRrIpUkyWZcB38PCmexjm9ijr7Ab/NTUQH768QeF7rEnoPhqOigeVazv4/ih1prwqVBtbANuNai3KwruElGtD+R5oo3l0AY+D1W8fNSCoYH8RHe4mF4fkkLI2hbnQ0M132bzey7S75BQZY8DlzSk/yPjNRFR9mywSwWFXvcSQvSPSLhWy/eFte4GtdbhHNZu5S9D6KKUHR4vDnE+kXDphjU8KFRZ74CbGYZR5R6ysPvOt2ryQULo9nE+F4lRz3cwPF/lLRT9x3vWhZtxjOG62lOaNevNfvF3a7SVSmx/qVvvvddv+DdD9diSfkZSjYINTwIN3fozeg/5Ia/vGefc54Xhwiysk/OQc640ceT6zZQTXG4wGAwGg+ECxzm4e3Q6sdM59wDx7tN9RLQzH/sAhf2IeoiI/kVEVXL5ocrSCeGjBoPBYDAYLjT8D/BE9aOcDL0RlLNZtJKI7i3MiYX9iNpEOdzF1Sgncn0rFT6eymAwGAwGg+GchPf+e5LlsAuNwsZEbfDe31jQz840XJVYT0/nBiPEyvsIK/NjIGellRI6Eb+wmMVGi2RtjNUzOQDg9R7tAvkLkm5STGfd+JpkiRdxL/fw4yr/stwpvBM6MmXmQ7K/6EPHFPlEaVZ5AscD7HienfL3DRov7KYM5/Z7jJGxc29Tq0Dev4lTwqNqbhN2aS9UpVAo0oFjCrLTOZ4grLyKa1gM7yVZNTKUAx0iyqQHcsZQFfcTx2Lv9hyQNmO5yoleDHJPdS1MccdYhlRlh+MmOrTuxlc54GjDTMVDgdfCuBRV9kbEP+h+PBPP8nSQVUxJy+f+GcjLnvwjhcK7I28N5GZPfiB0aSO5jErULh6Ifr8k83XHeP75CBlzdmX1r7i99TBu1D3Xvp9/kDJWBe3AYxze4C+BPOYFWTRh1v0ctNJ9rKxhEz5gfyBnjoZSLCoqw9fk/hf9HQdPVSkng+S27YGyLHNlkFypwXsC+eB2oHVYKq+Vb7wfxm1B3OXY+wcKs2FdJvEBxkmOVu0hvYKikBBxjbEhfk4kYyF1zGAkyDgWVXxQ/0F/C+Qp/dVaB+gy5ZVAntNd0hJGzeL1KG0Tj6llNeOEXcuViXygtgyKVId1KonXqVIt9gi7g4P5/XWZ9IrQzekP/YJ1+t5Fzwu7abcN4gN4Hi0n/VPYLRsP81SPBwwhHHpmY6Kujb3Uv5AUc1rbbObWnEsxUWWJ6B7KWdmDkeK9L5APs6ACxOWJqCIRXeycu4FydqGIiC4jyqfomsFgMBgMBsP5gSVE9AHl/NlwrABbgYLcec0p5+/2KCIaT/wR9R8ieuykumgwGAwGg+G8xIVMtklEl3jvh53KiQUVIJ7pnJtFRF2896+dUtd+S/xMgRuoVmeZY7w9owofhB+R55UHtl5It72V/i3MVt/M7rzmtDyQr1b+lQkZg0N28Ufc4wYXTQP6SNhdT5/zQZzqbzz3t9RQcBNslJXjI4ldmJhaf92gzbI9SH0vQb8KlWBOT2Xxypq7ZRNrwC0TJ5vPXsxb43X7rg7kzzNUxfJokBWdQuWKOwL5UvopkFOOSnde8TimFogD/+YbcTIXOWM2nxcRIy+WkcC6sA7scsz6QbmBEZr8GNx0l6IfRtvhMEUKgnzoJCJGq/5eE88HfUBuFy/sutM/AnlZLeXOA/fQrYeA7yBZmlXcCC7YXTBvNGM7uh+XS1XMX7jRw3VKBPL+cVcJuz/dz/0dskK682oMY7f4FfRtIJfqJ10vl9DPfCC985L1Gl1l2m3CzdOV1XncHzgm6caFm7lDaaGrV3RdIC/LhGevqyfkw+xdYwKEAvTiUIBy9D2FQtna3wTy/kj5fMX9Ryp6iXR4CMnw857qAukgp4bshnRVJ0vV7eAjnHIU3HmKBf9KgjVH/abCuT47jdeiojXVJgL0Eec2EdGxo9xodiT//GCCXFeROqUabZU69NbD+2uuJsG0OHDnwTu/g94WdsuSYKwMJYn8KGcM/y2WOufu8N6/XbCpRIHB4d77bCLqW5CdwWAwGAyGCw9ni2zTOdfCObfVObfdOaeZEck519U593nuv4+cc7VBl+qc+8I5l+ycy4+lkYhoEOV8SP3inPuPc+4n59x/CjiHiAqfnfeec24oEc2jHCZPIiLy3h8MfYrBYDAYDIbzHWeD4sA5V5RyKnY2pZy970+dc//y3qNr5WsiauS9/9E515KIphERlmu5zXuvq7aeAO/9pafaz8J+RB2PUL8fr0tElfOwPXM4QIHbamNPmRUntj616wF1wCT71aRq0g4yU3ZUY3/FVpJ2IvtPZd/sjYFHBO19Pky6tq6nL/hAFVXFLfSDs2GrOVWaHcD0G8gASdT+tkQ8R7ohvt0HRU/hOW09pp4NXlt/44OL9JMdf+CDTMUUjmzeyruwc8d1fFAMfE+J0u7IGmYH/6ItP9OMpcqPBn3MSFY6yCTKWgPvUmcm4bGeltD/HQSuZO1SwntGj6POdIJnfwITOWY+oQtvcbwwS8TC04mq/XQW93WGTDVd4DkCZLz/Pyg7vM9bpCoZUrr2LwcXk2JRF4Wy06Vuy3p2Z31bh8eodr0c7g1Zg8pNl7kG7hMT9/Q9wyq3KwXSYSOVmz0N5uliqfpoNDyERFDk8541tu6DOZfK4m66UhomsyiKLK+RZsK1fI16OPhuMQNY/4bAZ5WodDiH0c2lXJii/zhuVJe21oFC7+odfYVF4GFu/9xc5TvBfWWVV+55nEd47VRphu3vbqKefSLI8Ly3TlDrJf5egOe0ucF10g7vU7+/ZPpfQ10i2u6930lE5JybS0RtiSj4iPLeY1zMx3QiP36h4Zz7HRFVJRgN3vt/hz4jB4X6iPLeX32qHTMYDAaDwXB+4+iZJ9usSISBcZRGcpdJozcRLYNjT0TvOuc8EU313k8LdaJzrg/luPSiKOdz9WYiWktEjQvqZKE+opxzxYmoP/Hfn4m5nToS8iSDwWAwGAyGvFFGxSpNUx86Tp9AuaXnNJxzt1HORxTugTbw3n/rnLucckKSvsxnZ2kQEd1ERB97729zzlUnoicLcxOFdedNIaLiRPRi7nH33J/1CXmGwWAwGAyG8x45MVGnneLghwLINtOIhO86ikTubA6cc78noulE1NJ7H1RQ995/m/v/9865RZTjHgz1EZXlvc9yzpFzroT3/kvnXLUQtvL6hWQsT/He1y7oZ2caFWPL+/5JOdS7TywZJ5XpLFbtkSJU21K4251qzwzk+Q/3kG1g+jG0J+IpiKjyAmYK37muplSCr71Wba4wv7G7iuFCVl+ZSU3Zd0Kl9wn8viaOkkmTg1dP5T41gj49Kfs0ayQH4/Q/JBnLEReX/CWQRSwLEY1ozjRhi+lOobuOXdY0vxc803i5cVkkjOkVYsvJwKpPXmvEBxC70HiUDDpbtaQ1H2AMgaowv6xvXCC3XJ4odD2a8zPAOCKRYk2yAKeOEVtS9P8CeRAxW/GGrZKxvH81ZmvuQ9MDeTPJ2IgV1CSQZ47vL3QthzDLMdIYiBgoIprmmPKitm8hdCmbIAc9mUXfVP7x577j8RYWDfQPe1V8CcRynMBuPxDoMGCcv963nbC7u8LiQP7uu0ihqzAwnQ8wfT5VdqPS4zxYPhaGRFUPcb96lnw1kCcvf0TYlbodaESArRpT3YlIxjfp3y8wnKOm8HXH0HBhNhL+2O1LLwnd8H3PBHKHcrzozJ8n16kunYHZ+0kmWB48coywm7haXhvRvhEH690X/K1M1GS9pGKh8hzQ07KizAb/gjgmMQYGlaBNIaKF45kuvdEQDor6YN+twi57OlOlfPB4HaFreYjPu7wkUz4cOCxjPK8rwWvR2vHKM9OB16P6lZipvzQdEGYfHOZ+Zbwj4xMjWnBQW7sSiwJ5Zkc5Z6su4N9B29bBr035ysn/heefe1f9bsY17fYzy1heOfZ3/umkuNPaZhe3ON97cM4VI6KviKgJEe0hok+J6G7v/SawuYqIVhHRnzA+yjlXkoiKeO9/ypXfI6K/eu91lOpx+0VE1IuIBlOOC+9HIiruvb+joPso7KflMedcFe/9jtwLVqaTZPVEOOciKefLsRblbM/9mXLq8c2jHPagVCLq5L3/Me8WDAaDwWAwXKjw3h91zg2gHOa5okT0ivd+k3OuX67+JSL6CxGVJqIXnXNEREdzP8zKEdGi3J8VI6LXQ31A5bZ1fCcg3jn3PuWk1CwLZY8o7EfUw0T0vnNuJ+X4KStRzlfbqeJ5InrHe9/BOXcR5ZSQeYyIVnrvn8nlg3iUiE6JQdRgMBgMBsPpw5mmOCAiyiW/fFv97CWQ+1AeYUW5GX2F9pQ552Z577vnnrv6+M8oJ3Qp/3ML487LbbAEEVWjnI+oL733hws4JVQ7lxFRChFV9nBx59xWIorz3n/nnKtARIne+3x9kq5irKf7cvfNqysl7rqmKh1SHsC2e/kFsijw3oFMT/DIJN521ynGc1KgRuFida2e4MIC5vEizxwSZvXKMcPxCdvOodwXOs2+NRSB/YB5VNv0nC/Mlg7vGMi1xnwqdBvXgZsRU5NVHV3h0tQUErhBq1yTsiMg68RUfJ/4LhOUXTSLLUdCwd0ZiqEbU8lVbVvhBkQX7jPKLhJk5S4Uf470hBzm2SpvOxVkZGjWfyOhqyi/pF10AydKVe1JUNDXqQv0jA/Ep199MJAf+3CCMFvcoHkgt1vILMxp7aXbJOp5doH4Lsol+FM29BF0qmBy+ed4/u1dqNhTYIzVHcQs+J881UiYDXmcq+6Of2uEbCMc5MUgq/T5jZOYoqLWSmbOP4HZPB1kXVj4UZj3a/Jhesf3rIsC45iFYs2NJyiXdndwaeOYWpzPteKULhnkdiF+TiTnol5/UkHGOaaoLOoPWhXIazvCWhcp7Sq/DCEJM1SYxO3wfGfz8x38uHJhzgAXpn72cSCngxyt7CayWOtVtV52hPUS1rpmU5YIu3dbtuWDGBZvHCN5DDZ8CAttouoHrsdzz7w7b1RSk4INTwLd3MJzqQDxBu/9jXBclIi+8N5fl89pRFQIxvLcBjsS0UXe+8+JqA0RzXHO3VjAaaFQmYj2E9GrzrnPnHPTc32W5bz33xER5f5/+Sm2bzAYDAaD4TTBk6OjVPS0/jsX4Jwb7pz7iYh+n8tU/p/c4+8ppyhxgSjURxQRPZEboNWQcooSz6Sc7LxTQTEiupGIpnjvb6AcBvQT6NxDwTl3r3MuyTmXRIf2n2IXDAaDwWAwFAbHs/NO579zAd77Mbls5c957y/L/Xep97609z50JgagsB9Rx4PIW1HOx88SIrooH/v8kEZEad774/6rNyjno2pfrhuPcv/Ps8qm936a9z7Wex9LJcvmZWIwGAwGg8FQWCzN9YiRc66bc+5vzrlKhTmxsJ+De5xzUyknYmRsbnxUYT/ABLz3e51zu51z1bz3WyknfXFz7r8elBOJ0oMKs5VWhDhO4eN87MLV8Tt56/ZuVXEYySxiKY/tOiAGYzt0bEQ4xENATEL27JLCbPMAcL3qciPtIG5tIsSUtFB2SaCDxMyle9pIu2joUkYVqUO/e34p3Okg61gDfDz4rLX3G8tE6PeXFUJOVXaRLC7bBfeZqOwwpktRVAgg04KORcL3rOI8RBxJKgTPJCs7fI46xgaBY1aXf8B7wXiedGkmaAx6qkCwhPhA3P0qxPhFy/o7ooQNjO3N7VWoQCKLqwbVl7o5IeKgakmzvW/B/NPPHtrffCj0XFn3OBAaq2o5Ykzg+1PP9zO6gQ+wTI+OC8Qxm6p0k2He43vWfcLzVIyYiM2B1/KVKjslYqdw/dFjFI/1fMNxiXGMei2KBFm/o1SQo0FWsVNi/UwPcV0i2rmpZkgd7c07zuxzkuW0xBqWrNrAOVY+Hzt49hu3KmqaYnnbrTusiLXx2SeyuGFHA2FWvDrXvD3y6GVCl1+JoDOBsxFYfgYxhYhq5xYwfoSIZhDRP4ioUb5nUeE/ojpRzq/scd779NydoodPsbNERAOJ6LXczLydlJPpV4SI5jvnehPRN0TUMZ/zDQaDwWAwGE4HjnrvvXOuLRE9772f4ZzrUeBZVPjaeT8755YQUblcciuiE/9uKjS898l04r4EEdHpDf83GAwGg8HwXyEnJuqC3on6yTk3nHJyZP+Qm51XvIBziKjwjOUDiWgkEe0jouP5yt57//tT6+/pQe3YYn55Us6e7FUHvhG60qV5DzmW1gvdJfRzIA8lZjqvu/ALYVe/PaTiDoRUXPX5V6PHhkCOUXvBKyBn/kn6SyDftz5BNgIuptpj5F578j3sHin9Eu9dbysq3YqlVzPDeP9GzIw9/YCk0fh1d0Qgu7K/CF3ZihyKdj19HsirdjUXdgcq8VbzKLgvIqKLiJnIn900MpAjrpH70XeXeD2QY4Ufjaj3VtZRGKczv1lJ+jAn0QOB/O5MTiPGd0JEtPldZjy+rpkcD68QU1Tg+0pVuc53AF2JZhgfsWB8IFfpyD5RfIZERM/ToECu9CEkRkjvLq2OqRvIA2iy0P2NHgrkWw+xL2qfihGMfo3f5dNdHxQ6pOmY4tiF4HvKclEukteH9hPYt7VwnczHb1yP/Ugl4P0TES1bB3QTUezzyCwjbzo8gfl7/T5Jk3DlX74K5LQZzIBevreiJVnCLkGfItuI+cvaQH6LWgXyn2imsFu1g3UUxkwu5SvKihO/HisRyNWKbhW6tet5vehdh9/f9N0Dhd2UK/mP3TsVJ8FD9DfQMRt2p7FvCruNw9jlivfyT5I0H8OBsyOJJAM4zoGGb/PcueOOhcIO2bw701yhQzfjLcRM5+mKu6Dlk4mB/OZI/rt5peAXIZq4hON6fbaizbiWx2Wzmhz5gWsAEdGMHncHcr8Dkh78jtJvBfIDNCmQP6JbhB1+PMS/Nlbo7u3K1QkeoL8Hcq3hO4TdtDFMN/Q+VBaY89afhZ2fyfdZZf5GobuBPgvkha77GaUHqBRbxg9PalOw4Umgv0s4lygOyhPR3UT0qff+g9zNojjv/T8KOLXQ7rxBRFQN69IYDAaDwWC48HGh70R57/cS8V8t3vtviKjADyiiwn9E7SaijJPvmsFgMBgMhvMd5wq30+mEc26N975hLjcUuuUc5XjbLgtxaoDCfkTtJKJE59xbRFxN0nv/t9Cn/Pb4fGcMVeiS4wYaNWeo0O0Drk5dmHUflQvk+ffwdvr3L18q7JrSe4HsL4Ht5EtkPx6kpwP5pQxZFPjBiImBfN9rCYG8uKt0j7Ut8W4gx6mSPW4667q8zKzRpbtIV9z8ObzdutOxe+Ub/1fZXi0eKzu+qyB0r1PXQH4bUvymVZLbzqWbwrVfki7hslW4cO/Ymuy++B6eOxHR3w+wK27KioeEblRnfp/ofm0zdqWwazSM0//8LfyO2tHrws415z528tJ9U39gciCXn8TuocxDcjzMmD6AD+KEip7o9FwgJ/i7AvmhY3KKRLcD5g7MCNIZg4NZbDRSso03e5KLpQrvsWLe9jOgmOmHym0PWXi+58VslzBSmPlYbqMCsYti783SvXKbZxfpB8Wkq2j10ZaB/D48uPDbZPnNtPeZBd056d4d8Bd2Z036A1eD0u958a/s2nIjvxK6bn9JDOSoO3lTPWqRLJjsW3Li8ZNfcXHin9XE/7koPzftAkqo0zmQsciwa6beA9RNv096x6jhLF5/Os1kF55volxb3bnNHrOYvi+6jWSJKbWYCyvfWlQWs7/1QXBxQ0Zi1H75bH4+xs9g9rh7ZIcx2zIZZD0uW8C4fBKeRzf5bL5vy/PPOalL9Jz99gg9y2179WyW83m9m0u3+DriNkSh5Uj1jjK5zV/ayfYv3sPr4LRH2VXvB6h+zOQ2S3Xj9/BLnLJrzYOgMX0tdO8fk7/HDP89vPcNc/+/tCDbUCjsR9Q3uf8uolPnhzIYDAaDwXCe4TjZ5oUG51yp/PTe+4MFtVHY7LwnC7YyGAwGg8FgOG+wnnLceI6IriKiH3PlSMrZOLq6oAYK9RHlnHufpL+QiIi8943zMDcYDAaDwXCB4EINLPfeX01E5Jx7iYj+5b1/O/e4JZFKFw2Bwu7PYcBRGBG1pxM83WcedSqup6Snc3zKV5KMf7iUfgrkOEVfXRoodB9+iYMSIlbK1OxuTV4OZPcrfEMqh+aNQHk8NGKc0GGMUWJX9sG3yJBxT1nreFexUy0Zs+Pr9QzkW4hjgvwQ6U+/9BDHQNznXwzkqzNkWrUfAzEJe2Rc1Y0VORblOtoSyA8dkrE9fgK38XyVe4XuMDygsce4LOIVRWWK+N9KcxxUTOfPhK4jLQhkjE3aMixa2E0gTt13X0E6ftXZws6P5f42IZki/v0kbv9N4riyfSVlDNcdgzglOhlZrYmox1/mB/K1EBDSt+hUYff0i6P4YDkoFC/unm48HgbR80KXNpJjhypuhN3mCGFG7jt+HosbyBg8ZCJHGgOMgSIickkcI/UIzQrk8m/Iv6l6Aw1D/FGZBj55D8e+Va7IcVU4hoiI3HroR0epqwdz2M2H9PbHZWEDVyR0G82BQsD/jXV9aaJsYw63UZ44Rg7XFCKiYsQxXbfSB0I34BA/j8dKcszk8PHyWu/dwTToTW+Q1OmTqXcgP9eDuY3d8/LZ//IS38sfiSkJ/Ivy/kcXHRLIK9Tvh+8mRAZy+QqcQzSQ5LssU5Rjye4eJuPRttK1gXxLK44x+olkuIkbDzGZIzkmU8euXv4WP2//ZOi1rnPJedz2YRU71ZzX3D/TK0J3B/F8XlCHuZ0/oFuF3cXEa+TFU2X74/veF8gDJ3M8mlus+tGD+7EC6BAv/lLa+ep8n3eQpJfoVfRVvi6deVyIH1GAm7z3/Y4feO+XOedG5XfCcRTWnbde/ehD59zqk+igwWAwGAwGw7mIH5xzIygnrcJTDulmoSidCuvOw+CrIkRUh06sAmUwGAwGg+ECgyd3QVIcALpQDqH4Isr5iPp37s8KRGEZy78mDr46SkRfE9Ffvfe6NOoZhbsi1lPfXPeTqgksUmwjlS4RZNjVLtLzkDDLHseMyi2f+2cgaybrLU/dyAf6iaApfrJWl2bhPZm9OnOyZJ4uP4xdCntvgyKtE9W1UlnMbMEDPnyxTCXHfhSP+49QHZkLtBhIMK6LjSKS1DGmOmPhTe0AjgRZF9fE94nPVBcibR2i/fyK9mo6gVSQ7wJZXysxH10c6mBO9ZNuCIphschQHm/Z7yjKcnxuuoB2HDO400aoTKCKxYbFs6sva4VKQoFCte1fZdfnhypV/0/gwnsW0sxf98nC7u6rFwfywq/vELr2LzDTu5iXkvRcFpquJQshUzJX8Q2Pg7nyqJwrYaP5nn/NKiF02dPhGePzXSwv9fQWdhE/9tQEaFz1F8ebLvaLRblx3rdTdvjO1HuuPGpTIO+cwcV4w+/aL+wyn4FngOuKnlOom650MN8iRvOJGRPV38rItqHWMHE9YAMhSRROlRfAfd0DRYZbSzsxx1RhbKyssP/hqwK54XPvCbs1bZrygf4dkc5i8XFQ+Le1ogaCYJYT1svZYAvjoUg39btkMow9fM/qnivV5GpquzrqBwx4w51Rtu+KseV9/yQ9Yf87POHGnzOM5f8NCuvOKzBC3WAwGAwGw4WHC5Xi4HQg36finGuY326Tc+4yIrrKe78xlI3BYDAYDIbzGxd4YPkpI193nnNuAhHVo5xN3PVEtJ9yNrWvIaLbiKgSEQ3x3n/623f1RMRWdj4pl4y7T7dJQneYeCv/T6oEDhbE7Pgh+zUub7BL2D1OTwXy4E2QZaW2yYc34QK8upDuvyDb64XDvMd9cwlZZHjzPi5oO6bco0LXu1jemU+TXhgm7Drcz64XZFf+DH1IRPTdAM7M6j55mtBdScw2Xo72BfJyktldbye0D+SUnlWFDrOWsIhqXVon7G4D/1gMFNckIuoPPgBkmE/8uqWwm3I1M84P2PdCII8uN0LYDe80MZCfmD9c6EatGxPIG+rVCOQDVFrYNf2e/57YdHlloavZnF2uo5dzFtT1JItat13E7PM0BxSXk0Q/Fp+vJbMfByXBO8OUD9WGu47ndlo1eS9YQLnZOs4s00zkmIX3evt2gXy3ixF20zxn3b2vsqyw2HE0+E5nvSDv69Ke7KL56Xp5Mz13crbpzPX9A3l4HVn8ehZxodfdla8Vusd2PhHIT8/hxJuXu0g3xQMZnA15ewRnw15BMrsUqyK0guLURESvUq9A/gtxxYAWI2U+zv4n2bdTdpH0CW64k8fijd9ypqz7WmV0HeV3dl8jztt6ccEQYbe0IzPSfEQNhO7pdZCIBKlfC+ZLf9PFUD2g9derhG7P1ewyrrgOskaVJ7noZXyfx37m+99wdQ1hV2cPF0L2f75Y6IYu5/5eR5sDGdnhiYg2EIda4FpERHQbvR/InQ9zht/2ElWEHa5nrSCjj4hoLvj/b347JZBdJfmOMq/hD5AVJTiG5B56Wdh96CoF8j+8XKeqQQZ6d7fwjLrCroit4Psk/blgw5PAKPf0he/O894/6Jz7HRF1IKKORFSBiH4hoi1ENPVsx0QZDAaDwWD4bXGh8kQdh3Pu73n8OIOIkrz3S/LQBSjQyem9/5GIXs79ZzAYDAaDwXAhIYxyUiWOExS2J6JNRNTbOXeb935wqBMtUsxgMBgMBkO+uJB3oignRKmx9/4oEZFzbgoRvUtETYlUTIZCoSgOzlW4qFhPA3V+fS62g6xTk1NBxnT8hsougcX6C9j/v/VYNWF2sGfFvK9LJNOAI0HWlAEtQJbFxqnqFPa1b7u1NismqjbgUXzXly9WYV66tMN+VD8idZMhZR5jv2pJM5Gm+7HSYfuYBq7fA0J/zuN5P4Cs0/0xbTkG5KXKrgPImuIAr4XvRWXZE6ZPaJa0PiDjc1PvEsdD8UchrfpjlVadTKGBZNMYRvOOsusJsqI/QLqGxov4YX1HVwizW4iZp2dczTF9077uLuzudRxHMl9x83YaDgzxmPrfgUIiooUMPMwYAQ8caSjU8y376jeB/OthWVogYwC0genzCbKNId+NDuTx/SG2LlJ1Mp1CIyuEfJeyQ6qBdkp3O8zN2cVD280FOSyErKHHCq5Tj0KHx6lG8P3pNSwZZCzcMFeahccDRcUAoGeIUe1FshjWTtaBzdoLgVbxLNaYs0HYbekC9DN6PuOtYVic6q9YY3QhECyMgO0NVuvqM/D+cA1TrAG1a/NimnLrzRQSa84sxUH52Iq+W1L/gg1PAuPdE+dMTJRzbisR1fXeZ+QeRxDROu99defcZ977G0KdaztRBoPBYDAY/pfxLBElO+cSKYcP8w9E9LRzriSd+CeoQIEfUc650kR0N/HfKluIaI73vlCU6AaDwWAwGM5fXOg8Ud77Gc65t4moLuV8RD3mvT+ejvtw6DMLpjioQUSrKKdU6me5jd9AOX7Cxt77L0OefAYQe6XzSYNz5FeGSIb2HyA9HVmXiWSByY6r2ZUxsJEstokp+NuhYOtC5Yd4kkZSKHwL7pEOx9iP9Iei/xZ214AfsAak7BIRPRzGKfgjs7iY6YSpjwm7J/pySuzo1WzXutECYffm4E6BnDJR0hNgsdAyUDpIFywdMH1GIGcpcvywZJZ7NuDU9NuheDIR0S30YSBfQrIQMhYCRnqFN76UbqTJ1blI68BdXAB0VCWZHjzibs7bHv26TP0ekcy6nTHs8qm8TXFZwBqy82rpz6vcCmy5TigtvbyxsGu9CNLCcbhpVzLXQ6Ux9QYL1fAvJ/LBfFBcL5u48k5Oid79vUz3X3V5/UAeB5TMs4q1F3ZIqYHz4Q01B+6kRYHcydURuoae0+mbQ9XlEQNkGdVLx4amOBi9k98ZFrj+lSQr+SWQgj+yxrNC9+UWTh+vPp3pTOb0aSvsDoCv7wt4qJqGI51+F8hIB0JE9A/6UyAjxUHjoWuFnYcp7P4pVLSmD7uiGn7IbqqhDWRd1HGrmbrhwUawPiyQ68N7HXmQfavctj2SYCDBcrb0LTl+fwHqlI67pc98/5VA1/A9+JkzhBn1qcp0NNO3cXH0nVXlnMLi4pP+T9K5pPyL161I8KtiwXciovuPMe3J40VHCx2uR21XM/XIoZuLCLtjxTgWaF7RzkKHtC21394WyKWbpwm7b44yq3pSCfZgxe2RlBc7o5jK4R/+EaFDKodObukZdYWVi43ydycNKNjwJDDRDT9n3HlERM65ipRD2xSs9N77f4c+IwcFfVqOIqJB3ntcqsk5156InqKcCHaDwWAwGAwXMC7kwHLn3Fgi6kw5GXnZuT8+XkMvXxT0EXW99/6E8E/v/ULn3NN5nWAwGAwGg8FwHqEdEVXz3h8+2RML+og6dIo6g8FgMBgMFwAudLJNItpJRMWJ6KQ/ogqKiUojUlz5uSoiGuy9vzIP3RnDpbHX+pikHJ/3mrFNpRLTWePUickshveBdNuXZEV4kcKMqaiapx0/RXU1d9Rhxmq8skMKgR+kav4Ujg/q1J/TxZtNkUSq747l2I4hwyBN+ylZAqXT4zMD+e1Ddwhd5sfwDPAZqui32kMgFXedTMWNiIEq8N0gzkFn7OI9a+oCTMFG2ohxKk95OuQVYxiCKoDeewjnws94Xvr2w3py+nTWdkidLqPSlLMgTVk9jyFt+Xm/RncH8t6ZsjxMVA+Om7iPOF7sCxXQtPwYx4EdjK8odFGjuI0YGMzJKkc8bSDEuw1W83wplHeB97KwnhwP7fdAoM5iftYN739P2K0ZzvOv4Rilcxz7RnfFB2KXOa8IuzkduazEiwt6Ct19vRL4AKMoNL1GPN/nxCr9hGrwQi7dVKM9xxhtGXijsKs8aVMg7+xSkxUx6lr5UW/g+AD6kvY9ZguzhR/ywtKsgZrPe3gMlCrP8YkHX5Ljofz9XHJo78M83mo8p9L9X4D7VGtMkX78N/ED5Zi8eeJUGVuI61lYB0U7kMhzp3ZbfjGph6OFXcZsWBOQxmF7cWGHNCWPTJDlXJ7dBIFbOO/1eygP436ALGmE76XUgD2BfDBN1U9KDz3vEWU7M73G/oFXSSVSW2CopfpdsmxCXCC37JIolbimxZ9ZioOysVf5PyYNKdjwJDDNDT5nYqKccwuJqDYRrST4kPLeP1DQuQXtRL1MBJHGEtND/NxgMBgMBoPhfMG/cv+dNAqqnfdkfnqDwWAwGAwXPi5wioOZBVvljXyfSoiifHjhAre6fktkZl1Ga7bmuhGS8zHUd5kKbSwF95Vm+MU2e8K28DVqWxhdT5pAPQ5kzAjWjNeRIKst4/fpNj4A1ux1h+tJQ9gmxlTy8WWkO+/fQPGQuUK5MBNBxud2VJql7IBrKwbwjDS4uVRQREo70abehtdumqB/6iVhH5FZOFWaiWeoWOXRDSFcuHuVeyESZJnBTCvaMgXE3rfAhZco7dKi2cW2uFG7QP6GpGf84DvgskkXKkpbz20crsMp/vuXKxcCuksT1ZjFMdaBXaTvK9935Yo7AnlnMru2otUDXgPPA8ceEdGau4C+em58IL6dIN1t2N+VmhoaGcZxCCRLM0rn+0QqEyISc3NLNLi2NkqzarQ1kHdmgTtPVyNAz7JyjwlA+/+mP0gdjPP3q98mdel8owc/hvGg5sreJTDeIlncslK6KUX/k6UqO6ZkICe1BQ+Ldl9BuEJWWCmpA9dUSmwM/FzNWez/CphjmlEclpET3iWupakgP6pc8O9A++mqfbi3g6lA+fCxmiv5uQthTO0vA/NPhROI3xE4VlSIg1in1Bqj1zTDfw/n3HzvfSfn3BeUk40n4L3/fUFtFPRpub4AvcFgMBgMhgsYF3Bg+aDc/1ufagMFufNOeYvLYDAYDAbD+Y8L9SPKe/9d7v+7iIicc5fRSZbDO78LEJeK9dQkZz81asE2ofv5GDPrHlwjs1nEdiqExw9ZJhltx69jN9iOehUCWbP9Nj7wfiAfeUcWki3fFTJnxvK2e49hU4RdAyj0eu8umbVEQ3lLOjwBsgmfka64uqOY/XZd5bhAnrKzh7C7r2lCIPd+T1ZwXXTszkA+uIKfW43mKtOnI7gK9NY1DMFaIz8N5O0ZVYRZ1hvgDlBb1+FD+T6vLLmbr9tduSieYR/Awop/DOS7Dsgqokfa8XsJW6qyivpBP54Bd8Abyp2XDHKcVOE4qrEWMr8Wqv5iYVb0WOmMz2iQRys/B2TJifNUZujrb7YL5LsfXhyy/cw+vDiGtzgmzPwEdm24DF4r/Ebp8nBRoHtP6u6ezOz2bx/m7L+MsJeE3XjPjOVD6r8odGXXcubTo/RMID+eIefsOxEtAzmu6Tqho5dgresJfRwszfylrLuuGW/G/6j80ZmHOOcmc7uciy1rc1bjspU8LulReS2RaahQdkre2V7TJqniz025IkPl9yCzsHtNYScKF0eriz0DMrrZhyo71CUqHc5hdFMpl+Cs55h6sHsXiAVQjISD23OlhokdZZZgowXsH1u9kNPsEtvLEIe4p3gMFO/3H6E7kgUFqpNgTqXLfuDvi0eGqCzBpyBLMJnFNxc0EXZthkO1BqhOkNBKMqD3vG0eH8jpIUMcep7Z7LzSsdG+VdLjp7XNWe7ecyk7ry8R/ZWIfiF263nvfeXQZ+Xgwo0UMxgMBoPBcFpwIe5EAYYSUU3vfX7RjXmiSMEmBoPBYDAYDBcsdhBB4c2TQEHZeZMoj4j14zjb2XkGg8FgMBh+W3hydPQs7EQ551oQ0fNEVJSIpnvvn1H6rkR0vDp1JhH1996nFOZcheFE9JFzbh2dJNlmQYzlPUIq6ewHnl8eG+U7J+Xc4+QXZMVr9M+Hj9gvVJjWX7/tqkBe+6SsWC5oCPBzU6Xfh0+EOCVNGQBxKqXuAlbc21WcFrDnap986hhm0I3uxXEjw1/9i7Abs5Crxd/YnoNlNgxsKOzGT7ovkB89IMfVsaM8UbJBphUyTblHD47peptaCd319Hkgr2oDSQ86vgLiaMpX+Vqo9k4FVzQ876qvpgi7bTNr80ECKFTq8LQxHEdy75OzhK7RSI6vWH+oTiBXKPmtsPuVmE5g11YZCPZ6tXaB/Ag9F8hpb1UVdq1bLQjkB4gZRJJUcEwiBF29+2Bboas9gR/In+gfgSzSo4loaYWOgVz+u51CJ2gYYK6k9S0t7KLWM1M2xoaENww9p8JvV7qeMCeAxmD8yPuE3RDH43y9rHlOde7hCvbiUekU/MEc0/ZJJRmPdvM+fm5tyjGv3pIZXYRdpd7c6K6O8J7bqWslg5wf4/4bHNP2dEUZ2/P0occCuW/JqUI3fg9PmMYVVwTyqpkykahhD2aIX/MwM8d3eU4xwr/FjPCCNZuI6vfmdbAvcT96vjZPGkayWKvVp0K1ed91gRxbjnP/L6Jfhd2aJ7mPVUfyfN6WUlvYYZzh65PaCdXdu3gehZdJD+TMvWWEXVQV5nVIe1DORczHqt+E7/8wXSTMNuxCOhcVJ9mBx1uzSm8H8rv15ZwNXwG/I96B+aAoqw8suziQSz/8i1QiZckZjon6XWxl3yRp1Gltc6Hrlu89OOeKEtFXRNSUclapT4moi/d+M9jcQkRbvPc/OudaElG8975eYc5V1/qEciJMvyAuQFyobxzLzjMYDAaDwXCuoS4Rbffe7yQics7NJaK2RBR8CHnvPwL7j4koqrDnKhz13j90Kp0sVGC5c64s5WyZXUdAdee9bxzyJIPBYDAYDBcEzkJgeUUi2g3HaURUL4QtEVFvIlp2iue+75y7l4jeJOnOOxj6lBwUiuLAOfcuEc2jHIdMPyLqQUT7vffD8j3xN4YLj/V0fc62ce+1MlU/HfadVxyW7Mc/ZzL9wZGenPq+/s3rhF0roMX9biqk59cRZtQu9vVAXpIiXQM9arPba+YL/QN52v0yTbn7IS5MelPJT4Ruo4sM5Mae2ZSFq4yIxr/J7pFrHF+3kpfb2DEXfxXIib/IcTWLuF8rIAe/F70q7OJvHQsHJBHF4pBqnIKuqSHmpIB7QbFG39v1+UC+lH4K5PEPSvb1GhOYTuDTwzcFctMSsgjuWsff+438O0K3uiP7UkvNBZfrduVyxZRjTc12O8+jeM957PF7VOWkDuAWRXexpjiAgte1Jki3ycaxfJ+0AhTpsonvPo0M5AoLlRLekV8ONAYjJeW+78i77W4Cuxf8rRcLu8gt33E3alQQOqTYQCbyhfW7Cbv1a3n+1XGdhK69Zzr6V47xuGlV9C1h90FSM+7vTTLRpqHnsbLmJnYpFX9Hpr7/2ikikPuunBjIP6kyoj8TP4N1an1+kCYE8sgMHgNZMYrlGykP5LCk2ougyPeT7J/OHigpJIr04LHX+k12cy29oaOwo8Xseqpb6SOh+qRXIz5IZLF4knw2wt0/saTQ4ZgSY1HlO/mHYbyNgd8/d0m79Q1wPMgNhFme+RAepmcD+bvVkkbFfQnPpu8CoUuChXzvanBvq+oMyKT+VStZWeDaD+H3NLBt+BmKAuRVuM9u/B52VJJVBqq4xYFcy8u8r427Yvgg+qIz7s6LS3r6tLa52HXZRXJ0TPPeTzt+4JzrSETNvfd9co+7E1Fd7/1A3ZZz7jYiepGIGnrvD5zMubn6r/P48WmlOCjtvZ/hnBvkvV9NRKudc6sLPMtgMBgMBsN5jd+IbPOHAj4E04hEPawoIvpWGznnfk850WUtvfcHTubc4/DeX13YTmsU9iPq+Kfzd865VrmdicrH3mAwGAwGg+FU8SkRVXXOXU1Eeyhnr/JuNHDOXUVE/ySi7t77r07mXNVOUSJqRTk0tMF3kff+bwV1srAfUaOdcxFENISIJhHRZXQCz6/BYDAYDIYLDWeD4sB7f9Q5N4CIllMOTcEr3vtNzrl+ufqXiOgvRFSaiF50zhHlBIjHhjo3n8u9STmOW5GdVxgUNiaqgff+w4J+dqZRPPb3/ndJOXFL+5+8KrShKggvyhVg2qiu0g5xOhEvcU5wxjvlpR1m1a6QKtE+sgSo+AeRkq90/Wfxx/CUgZxAEDVJlrpJW8KxTwltuZxAz5kyTblSD07h1lu0aesgfioVFKqkCMXBuFElQMQeJTIoqJgHQRVxjdJhCjZeW2/+YjV3bF+9h6oTIJV6qkqlxmcf6rpap1LEa43iuKWNmyBmSdFhYImc9g04Du5zul6YbVsPfYxXbUAcTY0GUGJmvSoxkwCyfr4w1nEctaNFwuwTiPX55C2Om+nRSpYtmvkwx/uNek5yWTzRC2rdwFwp+9w3wm7/PTyH2788W+gWOuhwYjzLbwgzajSJJ08ZFYyzcCHEYEWDQpXXwGsv7AXnKNoMQa+QrnT4vGE+lOq2R5gdHM1xd5VHyjV+52tQtiWaQgOrAiWAPELZDQY5Tumgv1Xbw1x5Qs0V7Id+HotZxBIrRzJl/BwlA00AvqJU1R6MlYaDZIzjmq0c04brdOX26hkugWeoxorofySLYa1VWah4iGPTsZA4v3FtUmWsxPhAXYw0G9wjdKkb8XvmpTNLcRARe42/OanATZmTwruu7blU9uVz7/3vT+XcwjKWTyrkzwwGg8FgMBjOJyxzzjUr2OxEFMRYXp+IbiGiss455FC4jOjCLqRjMBgMBoPhNwssP5fwMREtcs4VoZwYcEc52XmX5X9awYzljShn47cfyU3vn4joTe/9trzOO1OIii3n70/KiRV7bOqEkHbh3faH1N1dkukJpj08SCqxqvhikGtJM7HNWv2I1H3MW9ctO0Nl9+f/KO3QdaTcj74UpAR/y+/r9UbthN3dM7iTM3pzDF3v1a8Lu5WNbgnkJm/JVGeRdo+pvsnS7Om+DwbyiySZpxFp48E9qFxKZduyO+cG+kzo3n0BGH+hH+0HSTfPon13BnL2O5ByHSffw9pK7GKrvz5Z6O6tw3QKm4nTqtcdkGnrzUsvz9OOiOifxP2IWcnxjWGx0jUwNIJdW62IGY6RkoOIaC6xO3bm1v5CN7waM9VfAQknmkJizGvMYF+3q0ym3XyI+585lxmU/R9UavZ8Hm/hg4F1+UvFzA8YUecxcTz6BUiNBpf2+N6KsXzqi4Gc0UeyRkesAdbruHiWP44XduhmzWwhF/3w5GOBHF+P2Vni14+VdtXhPifCfUbKSwkXTc8sqUvkG63RlV2uw0heC+dOO7HIEH1EPE9/BRbtdztKNuz+C8Ddv5r/1h3VSLpVJxzjOXtwhaTv6N2cKWJ6Ap1Jo33/FnaXl9sXyM1pudAl0w2BfAeM7QMkWfCnPcjrbKcJzOesx++a7uyy2zhLUhfUWr2DD5AtXrnxWw8DyofxkvKh1GB2rXYoyr4+fO5ERBcxbRBt6C+rP0RM5AHXqwQ/t4nPS1dcs0FLAnndYV5XMt6QoSG+Jqz1u9TvZiySUP3MuvMui63q6yZNPK1trnStzyV33k7KqUnwhS9MjBOgIMby43QGCd77XafeRYPBYDAYDOcj/gd2orYR0caT/YAiKtidN9F7P5iIJjvnTmjce/9/J3tBg8FgMBgM5xfORgHiM4jviCjRObeMJGN5gdH0Bbnz6njv1+e69U5A7k7VWYOrHutpRi7D8mSlDJEdQ0QyOy8G5GhlN5fFUm8Ak3WyYrLGLB3pbZIZY5h1F6ns4kBW2UKt34ct6ethS3qutMPz3pzUJJDbLFwp7WLgnaerzDrMdsNPbM3ii1kq+p7bgYwZQvlt3Or2MfsN+xGj7PDZ43a3JN6m8ARw0QxQrii8l3SQdXYeHqs/P8oP4wK/e9cDye04aYeFpmv1gIw+ZCMmIloDGUxqPOCYKtUPxmWCGpcqg1AA3B7l3+e+16N1wuwXYnb/dweyG2n4JFX8uhe7Dh95VbK0P9t9JB8ksxi2JnQWVMMJKhtrIGRjIdH5zfHCLiydi67HRqyXbUyFNtCLop7v4GWQIXUnuGVipJ14vppxHl3+0SwWHyoZwI8kQMjFXcoliEW/MbNXZ1pihlhaPnZ6vUBA6ELdvrysf9JRLf047vV8xuxmLKiequzQI4YZc+nKDsIayrdXBbSfgjkG87LyGJWd9zxk5+l1CsMm+sCamKrWRHQR6kzviSBj+Id6lWJ84DtS2X7dhrwcyLOvv4dCYuOZdeddGnutj0l64bS2ucY1O5fceSPz+rn3/sm8fo4oyJ23Pvf/YFY5535HRFd67z8/yX4aDAaDwWA4z5DjzissreT5h8J8LIVCYQsQJxLR/+XaJxPRfufc6lOtemwwGAwGg8FwLsA5V5aIHiGimgT7vt77xiFPykVheaIivPf/IaI/EtGr3vs6dOLGpsFgMBgMhgsMxwPLT+e/cwyvUU5wyNVE9CTlOKE/ze+E4ygsY/kXRNSMiGYS0ePe+0//G4bP04UqsZH+maRbiYio0x5ZoZvSIcW45gahOkwlAnkoPRfID2XIGLIrIrgyPTLfRrSQwSYZezmFt0alL4RuyyZmke5Rk1meZ+7pJfu7hvtbtXOKUH21KCaQXd1fAnlZxRbCruXyxEBObM5ptC0ylgm7TRF8L1VWfid0SNdQqhbE2yTJeJuV9TgNeDiNEbqLiNPR16RAHIqKE+hWj/3/l9JPQjdlE2xyQgzB080fFHZINTD7KY4hiHpcsm+kEA/V0rtkXMqoShz3glQDW6masMN4oVQVQDclg4uDh2VxkEa1cluF3WgIEruVPghknQa+Av5GmUp9hQ7T5C+hnwP5MElagOFAF99B0TWvAybyNUv4HflfFcVBEV4fwm7nGKYyEQeEHc6p+0nGTsTvANp6iMFLrCMpJOJ2ceCI3y/vJS6Wx/DqJTzuw+JUXFXk37mNT+UO/ZWxTD3xN+Lxdc/hl4XdsaO8wB/O4vuKLJ0u7H7K4Nz6KyN2C922hcz0Xbc9xxhNIxnnMg8C3K4kyeCOKf/oShmz8K/C7sX2PQP5DQjM6SXoy4kSIfByxo77hW5Gla6B/Ocv5wTytdWTKRQ60ELV3wqB3ICYOkXTgUxM4fk2ojbTYWTSpdLuQ7b7JUaOy5KZPMeuKMc0H2nzqgq7Lp1fCeQ5W/8sdA2rcdzdGCgDMECN39shKGr8a5IGvllXpi7oTFwZovdCSSszuD2vkUkQTLZmV5yw8+/zuC/aUgZl4lqyxdU5o/FEJWOr+xpJM05rm+tdw3MpJmq9974OftfketvyjAdHFNbJ+VfKqUHzYe4HVGXKSQk0GAwGg8FgOJ9xnFjwO+dcKyL6lk5MScsThfqI8t4vIKIFcLyTiNqfZCcNBoPBYDCcZ/gf4Ika7ZyLIKIhlFPS7jIiejD/U3JQWHdeVG7DDYjIU07C5iDvvS6zeEbhSsV6ap6Ty37vnOeFbh9dHsjIpEtEtHvflYGc/SizXK9/VW47t4J8/++mAmNuHdmPDrGzAnnhpm5CJ1x4M5h5+sXePYVdr0PM3Pv7kslCt82xq6eR52qbq3tJd97EV9ntc7WbFshRvoawq3P15kD+4Gt5M7PoT4H8Nt0RyH1ourCLvxWYl3Uaf3lmCx9ciZU/CGp3otkp4NrYKFTUvyu7VksAY/DE4ZIJuOoYdn0mHWNW8hZFZRXntcU5PrDREalbfQ8/x1IvgQsz7XJhR9OBdiBOqjBC8GnPc2/EvtHCLLsPsKojJYNOv0YqhFela37jWChwjLcSJszou2WRgVzhrXSphBR//xawJI/8Spj5jtcGctFJ7F44Vj9c2EVuYbdwekwFoXt+y72B/AHdGsgLm8q58sl7XIS5rksUuvae3XkzD/cI5BYl5Lv8IInLX7mbZNZyY/AcrGrJueVFEg4Ju2N/4nvrs5xLhP6k3E3oPl2v8v370tRAFkzhMYqGAopJ68Lj9WetCuS1T/L49f2Vy/V+XsObLWD30rstJbM53me9cpLKYm1/iJ9NZDHsY+ku/RXcm9kvlRQ6QamQCnK6NPMPwHj7G/z+6SPt1tfk9bjOxZuFbv4vbQL5AeK1/7tVktnc7eb2W/b4p9B9AUW/05aDGzBS9gPDEHY0kmO7SgqEQ8A66MerdzQH7rMdr49fVaos7K51iwO5qpd7HNt2we+n6IvOqCvsktgavlrSqwUbngSSXf1zxp3336Cw7rxXieh1IjpOUtQt92dNQ55hMBgMBoPhvIenC5Ns0zk3iXJuL0947x8IpTuOwn5ElfXe42dognNucCHPNRgMBoPBYDjXgLTMTxJRnqSb+aGwH1E/OOe6EdHxtI0uRHQgH3uDwWAwGAwXBC5Msk3vfRBH45wbjMeFRWFjoq6inMIq9Sln6+sjyomJOqtFiV21WE/Tcj8kVUyNeN8qVkSUGMHyD7rMB0R81RjCNAn7jpUTZgcfhTgHGSoi4/sxJKi8ssM+pUpVp678Xuc/wfEgESMU1cJSbvTX29knf1HmL8KuVHn+/j2YKiunUwL48vG56fnTDmRdTgJjI/C8/MqQ6BIVqSHsdL4EtB8eB6VdVsjSLqVaQ6zTOyouJRS2q2N8t2pM1ejK42PLa0xrQTpqEEpeVG3A8Vzp9Dthtn/lVXygSuKEN9xPeSFzTdmQdplJqtQN/P1VewjXDbmeJEXH9xBb+O5TUPblcVX25R5Ou9/ycrTQ1ViYmud1RakNIioSznQNt5T7SOjWLITIARwDycKMovpy0vC1JOklVjm4+Ip4lpcKM+o2AUpvzIC4PT23cTyXUTq0/YHFsA6KkmE6l7rRZWVKxcGYXQpjVq8d6SCHWtuI5HhOVjoYlzVawVieeSOFRD7lZ8oOYbqG/cuvEmZhN/MzyHoH7l8/w3QWb2wv6+psWA0dTmSx0sgvhd2uhRB4KFVyDnfgOCVaWlza4RqW3zoFzxvXIiKizLkw/+C65bvKcjat6O1AnjF8AIXEM2e27EtYbE1fKWlOwYYnga9c7XMqJso5t8F7n8+AzxuFzc77hnIYy08LnHMPUk4YoSeiL4ioFxFdQkTzKKfSVCoRdfLe/3i6rmkwGAwGg8FwOpHvR9TpCLrKo82KRPQAEV3nvf/FOTefckqqXkdEK733zzjnHqWcvJVhJ9u+wWAwGAyG04sLkeLAOfcT8TfOJc6540zMjoi89/6yvM+ENvJz5znnesDhCUFXp+Q/zPmI+piIahPRf4hoMRH9nXIoFOK899855yoQUaL3vlrIhojIXRzrKTp3i35xPoap6hi3dYFMudt3krl49kzeyk/uwanemoG3277XAjl7nEr7HQDbxEN5m/jGBXJ7Gtluhy2ZJHSCbLp1iJ8TUY0FvA2/+W6mLuj++jRhN/tKvq9uu+U9v77v7kDOTuJ7KdVij7A72ALcC3qLG7a1i/TjtOqixY4JsyODYXwq91jYON7yP3aUv/WPtFZjejKLw+uwi2nMPMnqTLgzrt2P8SHkj6WZoCFQ1dexSnv5tbxFv/dJmcIs2kCGikTVXgzI7ZQOXWLoglbjYcB3zwby5AcfkUo4L+3l/2/v6+N9qrL/39tz0bjjIarbuJGR0rjlTjRpiAqloUmh+NIwISqNGpk0adKDYtKkqEkxKT2ZKD1T19Cg0DWR5KHbpCIPv2tSkdi/P+6ns95ruZ+bxNVlvV+vXq3zWevss88+e5977LXWewmFRub5OtQx/pXS0R+Qd0X8hUnh/g/p6mnd8b0XJvKyhbRbPlB3qcNscRdM+2VXrRwn4rAm8m+rYdNGKLMnO0jq+0XtntNtXEPymcPo92HKLHaW/pc9WgYqo0aBstv0Hq0BvZxRrTe54h4ku9HaTqXTW3fhg/TuGCrvjhGPXKHMBp9E7wueX4YyAMwoYV1nNL7KDdjM2BWQbN3drGtEsllH973eM5Evbzih6P4B6HE90cOc30/pWjwjfBCzxstCeqXX6cru7LOkKgC/6wHo/nM1Bev2KxDxsrGaSueBa6+SAxr7UZ9eruwGnXWfHJADa+BtutrD6POJwsW+Y/JIHlPy7rzMBU/u1TZXhUY/KnfenqLYnai9EXRVRJsfhxBGAvgvgK8AvBJjfCWEUCvG+GnK5tMQwuHFNuRwOBwOh2OfIyIckBQHewPfJ9z+uyPQdwMhhJ8C6IDCQn8FAJ5KZf7t7vmXAShk7yv3s+KNHQ6Hw+Fw/CDEAzQ7b29gt7LzgD2PXC+inQsBtI0x9kod/x8KN41b4/u6847OiRiY8m3YrWXOirLuphkk82ZiT2NHtSZPmS1FRD/AMcps/dX0MWeZpzuSzK6XLGPHn5EmKSPzdck4WvNLYta1TOF0X5/dLOzKh0/RxX3VWsgwbXCmEm9r2219zgKybi9m4uasyaxi2rDg7XUeN5tpyW0Sa/gubpPi3Hl8LW7DbuvzHLPvE26f+zvG2JGbo/xQKYS8/SXjpuRxs3O7C8k8HibLTM09q6O50mqZKN83RZfPoWyhBxqK6+KBZd2V3WVHCGv/Y592VLqLr5gqB3xfNvmoQMTyHXWR6O3X0fj0JYWuB4uqUyVl7vMCzTC+83ZytfPzGzlM2Q2NUkB7eLtbRZFl+lvcfOC5ze+flsZuAskdjY7fTexuu868s4eS+zQDRcuAyhLcZW7zmh1KbsSBJlON27COGH4P8LOdYeyG04LrSRP4TGPHbkV7rQKS6T1Y95mlymx1Vym2vss64ncau84Mc7x6lh2Njtc3Z432NHbsSuS50leb1W0h/V994glaydmgG0rWnVch58RYa8Eze7XNNaH+ge/O2xtBV0XgvwCahRAORaE7rzUKozy+ANADhdOtB4BpaVtwOBwOh8NRYjgQA8v3Br4rJuqw4vR7ghjj/BDC0wAWofAb/20AD6AwrPLJEEIvFH5oXZi+FYfD4XA4HI79i/3i5Iwx3ohd6dW3oXBXyuFwOBwOx48EhTFRvhNVFHY7JurHiJzjQ1zwj0L5nJwpae1a4nV1fCiEwXvAZ+MT+eeH5ym7S/BYIg/7+Ka07fc4SsoK5mCh0r2AcxL5bkhMyYV4StktXiwO+oGNddrrXQ3/lMjdlwldwSOvXKbsmpwt6bwN8H4iT37jd8ouzpMYis6DJihdWQgNQQNifJ5hAhZmv3Z2Ij/VSufiVoDElIykvPJaWKfsOhIvRY7K2wf6UhDIRkgK/qum5vW9kFTi4R8LxcGQo25VdrfeeHMiX32T1v11k4zvo9UuSOTDoGPJsvF2Ii8zNBdtB0jMXM8xks7cFPOVXb8llODKU6CaMsNWSk8fWXmQ0g19b5QcfEIKk89avaEEBv6r7K+V7m2clMjdV0lHYrsyyo6rz9/a5OpE/svmG5Rd/6pyz1mGU+QuyHk8p1545QJll3X2skTOb91Q6TrNlJirl79ok8i9Kz+o7B78Qgbu89/qAen+Mq2dBbJ2bsgZouyGhwqJ3IpCNmqYSlfbIHYnGQrwRyFUIX1xfyL/YdJYZTevW+NEbrZisdLNqn9KIh8NYQCvt/xTZRcryHq+4hihfLhnvqbZe6qprNPXcYbS3b1Z5lh5YcbAHbfowLVa+CyRz9+hY2T+U/bERG6+ROhW/tdQx1Udgw8SeUVZCRh7E02VXbvFuYkcx2rajJ7jZL4dj3cT+dZt1yu7WRVl3g/FLUrH6/lMzEzkzw3XxGEU5HjWxleV7tHqlyTyhR9IbGGooKtErDpK4mhzaex5bQDAO0fJM+/z8Wil47UzKIwt0XiicjmNY8abL3y34ffAxrKZB0RMVJnvNnE4HA6Hw+FwWHjOosPhcDgcjvSIwDffuDuvKJRqd175nF/Eny4o3EJVNAOAZnc1aaRKVxxrNKcBM9uxLaTLdAo2PZZTh3nj0lIhsEdsglYNmU1M3GcJE3fjVzW3wOIh4hJ84DZJQb/s7keU3SlXievpzVkt9MX4XvJJttQCXShNeY5RZpE8kGSbwsyp37Z9HkemDOhp7HJJziDZpDO3eJgYjoe01UqmDOBnaykYuB+2/eup/cXUvmERZyqLrg0eSuR3cKIyW7L0l3JgmJbLjBQW+KNrfZTIHy4+Thuyp6uj6QfPP0o5H3aUDlUchz6JvPYWYV9vf712R0/vJ3kgu7A6dyVWZ5o2DZ9ZpOyWXSgMKpc9Zdq4lNrgeaO9wCj/oFAj/F/1fyjd+PHimirTXsZwZ09dZaDVi+KWUUWLuw3TFyuOAoTnB82vhj3MPd8r91ynvymeu5SeJ69LW9Sax4OoEMqM/kKZ7RxD92nfYTQvm7cQl9Wcftp9rmgHzDLitVimJ43vWlPFIY/kDKQHvQPOHquTtV95Q4phq/aKo2KxlBq87vn9u9XYMS2HHft09Af27wAzxPNjNu+YW+8U996fTr9LK5lC4fGSpTgo16RxrDL35b3a5uaKRxwQ7jzfiXI4HA6Hw5EWMQZVfssh8Jgoh8PhcDgcjj1Aqf60jDHg622pDBnLSm63ZBkZJPM2q22Dt1prU4M1jG94HmWfZJk2ONGD27ebmHytllqlUkvpvEPxpTake2lIGSu2T9tQschzAGhGYpYbYffB5zUn2c42vnZto8vYDRnQ98bja9pTY2i8XmrsuX3L6sw6Mx6q/SrkIq+ts4pQaTt2C/kkGxdFvVriK9q4gwYxw7TdkealdZfSc6l9lKT4fYlDlRlnKK6lNo5UaYFQY8NZT6kfBOTm+n/2YXYU8XMYijoeA35e2doso3pB+jZoLXIx4U1Z2t2ksvDYhTdpmLJDRzoupgg3X9eOr3LRGNQ8QTLy1r9H4Qr2WfK1yGVuC37vzKYDO7dpTNVcbm7s+H1m+0HHPEdXbNWZrDiW5iW/p+1YUB9tpqy6tlq/JjzlG1p/Wab9DBSNDeY4zbMEoN2iGXQzjczgFFclgvA1ZXzu8p6y78gSROFOlMdEFYVS/RHlcDgcDodjHyPCP6LSwN15DofD4XA4HHsA34lyOBwOh8ORFjEGfLPdd6KKQqn+iNq5M2Db1pQP2aQ6q7RUm/ZaQPLKNDKgU2cLyMdt460y0pwDaP96Nsk2VTaLZHMvBXwBOm8DMXmnDBPs4Edb3FO2qc7cX75PG0PBPn9LBcBt8L0Ulwa+xei4X9x/O258Hp9jxnBdL2Kv3uVeSOZ7zjd2mel1n3eg+JtcisOw/d0g8SBf1jkkkZn9eheYe1nxcYNErkqxPVijmaHV+Np4E2LH+LqnxMh9WfYQZVaOGOz5Oa+z9OgFLP5U69LMqS1fmJilPBG/vET3Qz0zjqUz8/fzzRK0sq2qGVOy3fTeUXJg1r16FnxdjoECgKl0XNvoCkimOMbPd5h7zk+v27SW1ncB0oP7OEPE7c1NfXi61i7rjaDitnKNktdKhtHR/Fix6hdysMHEBdo1kdilP95ggze5DZ4DW821NqSxA3RcVTmKpcowbczZzTby6aDA2PEx/20ysbEqjs/+PbJtOn4UKNUfUQ6Hw+FwOPY1Anbu8M+FouCj4nA4HA6HIz0iAA8sLxKl+iMq/q8ctr6UqtxqU085NdduwRaQTNvfu7A60zZu/ROkOOhHm49WZls3UPXY6dBgVlxmkLaurSykxXwuzJkv4oqXG2tDakOloBtXzuKX6eLHmpTg99KkBNvxZbfXHKOz9/YtbEo0uyGKcS+oa89La6VTgo3LYMVCGivrfuR+cBqxdS/w9rrxLixeRc+I090tczEdz86W4qib5h2l7bj/1lX9uAzk5k7k8plq7Hg87LzMF7FBWSls+m/8SpmdDilqvWyLsGufC12MdBq6JrItNK2eH43plpU109rNN8Vo1Zq9hiZfWz2pjq4qDO4Lra+EnxnPWfMW5GLC05rJfe1KYzBM5HHDtK4nHdOc3VTbPOd80i0xOnb70Poo08UwkY8jiobinjnPRZs+T338qCW93/KNHT/L4pi9M4txaXO1g6GV0ttRlYj5m0/ROn5fUBMnn6BfRotGMJeHaZ//LvB7L8PY8frraXTEEK/6ZNncp5JcQHInbWbXn4INQzgIEEJoC+BuAGUBPBhjvN3ojwPwMICTAVwfYxxJunwAnwPYAeCbfcWOXqo/ohwOh8PhcOxjxFDiO1EhhLIA7gVwFgo/sd8KITwbYyQSRGwCcCV23QL5FmfEGO0/h/cqnOLA4XA4HA7Hjw2nAFgZY1wdY/wawOMAOrBBjPGzGONbAHaTxXjvw3eiHA6Hw+FwpEeEZn8vGRwF4CM6XgNYP3+xiABeCSFEAPfHGB/Ym537FqX6I6rCT79CZuelAIDV752glRw709KcmE/yQIoJyjWThDyoK2ZSTI2NseI4gSyj47iE3iRPMHYcr2FimK7E3xK511oJOGre5lVlN2eEVFx/kC82XLfX7ql/JvKLb/xWK3lGcAzBEm1Wt//SRF5dYMY+m/5RMJrS7m0sEscD2Hip/DTXvt3YcRzCQJLNGF7UZGIiP3l7D63sS3OA07EHmnix/PRxHr3q3ZvI47dQuXjTj6rXyOT5v7L/SOT/nHaisluYI5Nv8wIdzFFt4MeJ3LTs/ET+93AdT7F5IJ13nfmH2hh5LnMXtkrkCU06K7MBX4yRA7rnh3Gpbo/CXP6B/9O6NLEc7Rr/Ux2/2Ffm4tU36gr2g4+9Rw5yabKY8jsrpsg6vfmCa5TuhipJuASqdZEx3PS0jkV6FBfLAcfB2ZiaApI5BgoAJtDxGJHbN35KmU1vdmEiN2r8ltKta1xLLrUxI5G3v2SoC3rT4E+Qsak56L/KbH0jKh0zSTfBc71T2acT+YHjrtJ2vN5sSRgan5qdqWTN0p9puxn0/PrS7/b9QO/OS9tMUKqxx/0BRSFv3Un6B54fNp6Srlf73NWJvHZ+XW3Xs5g2KOa1fMv/JfL2a+wz4k6SPFWbXd1C5v3cjFZayTF55n1cIrDP54ejRgiBI84eMB86RX21xSJ+S4fTYoyfhBAOB/BqCOG9GOO/9qinxaBUf0Q5HA6Hw+EoldjwHcHeawBwFlcmYIt2pkeM8ZPU/z8LITyDQvfgXv+I8pgoh8PhcDgc6RFRuBO1N//7brwFoH4I4ZgQQgUU7vs9uzsnhhAqhxAO+1YGcDb20f5diPH77I79uBDq5UTckdoNzDJKdrcUGF0eybQFXXfwUmW2+hZxUw24/o5EtqnTc8fTtqtlmeVUYs4RaKnNymfRVvAkvRVc5yrxh3x4AzVo02hpYn6dLTuhFVaaZ0xj06iDdiEsef6XRdoptnVAb+vbqVkpjVwc07tN40/HIl4c2zhTK9htd7azqdTc/2ykB7tmbbo7PYu6jcnVOcK4OglVBqxP5C3zTLp/OuZ4QN8nP4dcbZY5aEUir3m0vlbSOPa6WVx2M3CmMuuD+xP5T78XV8OLf2+p7Np1lYvPnKzdiq0n/lsOeKzt/D1ObrRSlS+VautUoRFp2GNRIi8bcrKyO+W2WYm8cod+SJsmkNuOX+J5uhujxl6eyIMm3icKS/NRHPUGu+cHDBN5+jBtN5XknlpVqdGmRN6aJ/dft4V5T91Pc4xfTfmmTzyP7JotILlvMXa8dgzNB9PFVJtE7tIHtbu0RR/hWpg1hCZBlm6ufCd5J9rit4fXEhqNtfeL+61dH+Mi7kfhCsb1q54Zz0UbrpEhYp1e+gX04d30PqZ3Xc0+xpU6glyaWWTXWdsdhs8TefUN5t3Ba310WLivUvaLQjghJ2KyfUn/QDT+7nsIIZwDYDQKKQ4eijHeEkLoCwAxxnEhhNoo/OvxEwA7UThKx6Nwdj6TaqYcgMdijLfs3RuQxh0Oh8PhcDiKxrc7USV92RhfADQpXYxxHMlrsWtRKwD4H4DGRfy+1+HuPIfD4XA4HI49QOl252XkRJxeuMVY5zm9zcrFPItlgyYW8VtfvVqZ/WmmuC++aibuseWVtWuk1Y7X5VoT9LUye5FL5RY576LrJyq7TpCMmIsWPqf721PESnNoi394NWXW6k7xN838+XmJ/Nf3+ym7Qb8UF8XQt/6kdFMoZW7ZfHGVNG9qMgFPlUxAy7rLbo5GfcRdaAsmrx1FWTDGxVb3LnFZ8Bb34ksNHfp11PcG5yTyhet0FtTORsLqXGnlJqXb2pPGcWQx2ZpTSW6pVcxc3GIFuStmGp8VJe6hW5q2Ae0qGWPW6FTqF7tbjCv5kdnyYLqPeFor6RnF30h74Wx9rTiKdPSuiG/qsQknk2621nUa+Ugi/wvC0r7+lzpr69a3ZP396RidnVdtpbiH/lpWMrN+v/Hvyu6t6uIdyD7xfaVTa6cZPfNhygxxu/T/+G4LE1kV5oV5xxi2cc7Cm/78haQwF2NXn3HbVhlN7t4B4u6d8vA5yu6C0+Uf6tVyyY3W0bz3epJsXVucyMjuLNNdhTxzzC5o9qSaefncXa0T+bwLZ4qio7YbdslgkduNULpeL4oLevxMWVRLWtdTdo2GrErkMgMN0/saYnrnPx92x4XeTaOuv1ypBo0idy8xwr/4aktl165frhyQanzni5Vdr4aPyYHNoMwjuXcJu/Ma5kRM2MvuvGYlew/7Cu7OczgcDofDkR4RhcVTHLvA3XkOh8PhcDgcewDfiXI4HA6Hw1E89kNgeWlA6f6IqoAkLv/DaaYseT7JNkV8TdG6+6D93RSmhJGtByXyO9Ds0ptmUOyBqZy+phLFT1GswZOLNWv2R42JU2wGNIZRdzkOKkubvfYxpaePFvEv2/6sDSmsaKZJaV82i1LGKQV4zjdnKTtF3WBpB6hfS+4nygSbQ5FHsmEsX/1EGmqAPHNM4/2XBnKfOx+vrO2IWXjrHB1LpqgWnqZ4HpvqzNcuhn191ocS82Hng3pm2SQXGDs+nmRis3gc+fGZ/t6Im+TAUm/kizi2P83Fkdrs1XOIlppCBtffZfL9JQQPUYf7YcobFPzFaeUmGuLWLyg+7zqt2zRc1th9N8o63T5B04E8MYgetGlj64P03DNIMUHbzXtRknqW3Uvrwc7f/DQyNBO5Ws8cAwUoNnMlA9iST7QXNNx3Qcdusm7T4/QuytJmigLDrlmOZ+K1PcfYZZBcYHQUE6TmkZmX96G/HPC72ITcjOxIgVom7lJRcVAfx7Xuow3p/b7zafNOyCOZ13NLbcZzdpexzy+6jTtVkBn0+FIc44Ode2s7rsjwuOmHfR85fhQo3R9RDofD4XA49i32E8VBaYB/RDkcDofD4UgP/4hKi9L9EfUNkm3S2h1WK9XaD8k9ll9e6dKxQTPNAACMHjgkkc8jtvkT8Y6yezKT3CHaO4YyZ0pa7c73ZDu5ReOXlN35CbkqMLfTGbqRkeTOYTZhk7Xe8Kh35YBqwF58zmPKbuxaSRHPMn6I+cdRf6tIfzObrFB2a54mN6VlLqb06bodhKpg4zZNcbC5HNHFG/dC3c5Fn7d5pa4Cy0VWeQwXtzfFvnvTGJoddDUEvAtfHMO68R6z265RnbxEXpL1S23H98muEuvCJfdFmd4mNXsGuSWKyTruQ7wLg7vdo5XUj/OJX+Fy40I46yTqJLmNaj6zRRt2FDFo0mic3XtaIr9+nMzt7UO1K65PZWFHH/XSUKWr+4zMh47U3ze76Od8NIgBWi8xneLPuo7arNmKxYlcp3+a6skonuKAiwkvyaQ5MME0wi484+qrG8UluLq2uLc74wllN6eGuNqrdhKfz+bppmIyN29Z+/lxMouIZWnPTyMD2uWWS7KZ251vlv6/2IwYxTtqu+6VhRpj7AJdcLhpLym8/eGZshjPxExlN2btH+XgGrOgW0oMQbXjiBqii6GGGEh9N2M/qhnNU/q78htomprXstvLQZaIp2O2sps7lapfdIEGu/Ms/YFjv6F0f0Q5HA6Hw+HYt/CdqLRwigOHw+FwOByOPYDvRDkcDofD4UgP34lKi1Jd9qV8zomxxoLCeIuNG3VgzmEZUipk03vGx82u8XwRK51pyoHkSkr0ZR3uTuTXTQ4slyVZtLy50p3a4LVEnjuN/N3Z25VdnTpSnuDDR3XATYtLqIzILCojYmgByh8rVc8/ri733AWTlV3uOolLOb/WM0o3Y5sEdXHl9C0Fhym7SlW+TOStSzRlQOZpVOpmMcdOmZiEtXQDNvaCFmyZGkXHlRV2WMRTb6axfrmVtjtOxrsSzQ0AOLTKV4m8ac3hothgYuk4jiRH30vVGgWJfHxFiU2bu0rHt5WhcWtaS+I6lu9ooOw25R8pB+MMxQGV1GjYZ5G0sU63wdiZa8YtQ8SubR5K5I9wtDLjGBBO734KFyq7Jh9KHNHsOro0z+kfvyEHBfLMa55gKt1/LGPf+Kg8pVv8qLTZ/hIqqTJR92NoD6FJsPQdPMbFPefcJhJn1XKpPKPi+otcvRhrXiK2n2+WyV2unKZ9ZhqDuicsVbrVgUoXrbwxEdvX08GQ0xfqMUiLCSRfo98/KJAxaNhY5pSieABQvou8Y7ZvraDb2EBjQDFW5Y/7nzI7qfrbifzmrBaiyNXNNbpR4so+2XGk0n1O76Mjq3+SyBdDx38+TIFwa+fXVbpqORQHtVbiLlsdpYO4XrtJ4pla3ag5S167l2Kd6B1Wv8diZbdiBNXCzaI+dPpY2TUtK/PtxYm/VToVe9q+hMu+HJsTccdeLvtywYFR9sXdeQ6Hw+FwOBx7AHfnORwOh8PhSI8IYPt3Wh2UKNUfUd/kV8TaS1NbtB21btMWSp+2TK/s26Wd22MvWKXMliwQN9XxHcRFcyQ+UXbDnqcK4yZFfO4AcitRtni19p8puxzKVf9wrXbnzXoijQvPpClvryL3XPOvsp/+01sKlN3OkeLaWXCn3k3dvIDSonNJ0UW7fbcOoI4Yt6KiP+C05yXGMI9kOxOzqb/HkStqtLGj3XSmnpj7jXHn3S7uiq2dtPtxK3tHmEJiHDSY9TtH38vmAhm3uQNoDA3j884Fci9z21If88y1mNm7p9GRq2TZpeRuyddmF70u1OFPztMM+ezSPr+NuHQvmqhTs+/scW0irx4vafYnt1um25sk49u85SKlqtZsYyJvmidu5vXjfqbsWt0jrhJ2oQBQ1CFfg9xIZkrtoIk09yYzB7JJ5mdu2jj67+S2ozW2/j3dX8XYbRgfCjZmJPL2JfQumqDt2AXENAYAgJXHi3yssM8fGo/RdkzLwSztD5pr8WtlnnFVTxVxWfP0c2r70z9Jq1Pvo2w6Z5Kmsjh67EeJ/CYzWRhW8grYlsibxumQjErdJPTiwyFyYztuK6vs1t5NLjzznDdtoTYLRHztGzP3SLfR8rmwh4vW1K97aOqCFQvInUd/j07v/C9lN+3RrkVeF4B+Jzh+NCjVH1EOh8PhcDj2MSKAHd9pdVDCY6IcDofD4XA49gClOjvv6JzD49ULCveAB025Tytpj61SS511x+hfVc4bdYtmSVbby8wQm20aoR3eStkmw49cgu1bU1bRoyajht0+A7UqfiXZWWGjPK8nW5+n7NgV80CP7ol82cuPKLuZbX6VyK1n/RtpkUlzY57OELvnEqH9tkU5y5K/dMWjtI2doZuvf65ksDTA+0o3/e6iM466XfV3dfzYuosTeedL4iqr0mm9sptVWbKAOJMMAAbWkWqpC6gq7jvbdKHpMyuK7/cDU92Vs9XqLfw0kWs20RldV+Jvicws+AX4qbJ7BPL8Hl53qdLdVkt8NrUgbmGbWXfDE3JfrTrrrKL3IZlqa0aI+zW21s85vCFzoEpvGdMteTWVHT/bQScMV6pR99K6IvcVz1EAuGyizNOd5+l+lFlGc3E0KUyRYXYxxdPNvXwgbYxoekUiD171N2WHb+g8XpfGHcTumzLt07PK171Esu7uxLXKjteOZcN+GW0S+VBIVueT4QNlNyTuTOTbVonbb1S9/sqOr7Vmfn2l69f0r4ncH/cm8mnb3lB2h1dcl8iWHXw+TknkTpiSyPlmrTxwy1WJ3OP6sYm8itNOAcy5VJjY8x8+XOmyFlM4RBWaG6ZYd/sb02dy8juic2UZ+3dxvLLbAXERvjmkhdLVuU0Y7bvjH4k8fMStyu6CwfIH5G2clMirp2kXbsygd305/be5zLGUpVy7Sslm5x2TE3HTXs7O63FgZOe5O8/hcDgcDkd6OE9UWrg7z+FwOBwOh2MP4DtRDofD4XA40sN3otKiVMdEhWo5EW1SftoBRrk2jQzotFSiODj7o2nK7JVrO4h85+mJvByaGfqKD8Wvj74mdZjDQyh+o+p03aneFSUfedQQE5tF1cHBhOgm5bXqaGmzYPARidxptI6JmtKuWyKf/aK55+Vyz6AwmvI9Nevw9raUtqxDGXQfs0m2i/Alkm367mgUjZ7mWEKz0K+/xHWMHa+rvqvU8t5ahTEk89DbEICpJGcb3RIRq8yh2KHrTOwQx9hwlXZNQg0QS4IhyN+1X98iTx92XSZM5JO7/04rafotebVeIjfqrmk+viK29ENul3dFPNPEG81IrzuihbS5dhqlnI9RZmj+6quJPOe8s7RyoIj9WtNzvlc/5/v690zkyy+coNvg586xVJpRBPFWikv5L70fa2s7vEdyntH1poCp6RRMNcnYMVO/yZ5XsZFEYzDk9T8rs9sCORQeHyby7aY9JpLPNroJJPP6LTB23F9DsaLeszxWplDBkOek/7fV/4soDMXB2bfJu+mVMzooXf3XJa6R2cAfGawb6d6PFpaNvuE+8rPMMHb0N+KCyfoBTukq71K+/12e0Ul0n9SPrn9/SNlNvpTWaabpRx7J00uYsbxOTsT1ezkmqo/HRDkcDofD4TgY4DtRRcI/ohwOh8PhcKSHu/PSolS788rlNI5V578AANg03BQZ5q1l675h11EWySuNHbnR6tws+70frjKFXjeQ+2KCaaMlybxdP9XYcR/NNnyPyeIunHhtv0RueKdmhl42RZiGH7ugYyJfPEtfrFELKey5AdWVbu1ScrcsQXpkkWy26xU1wkgaG0MErBiPM4yugDtFcjNjxy5B3sk37sG6gyXNnJm3AQBnpqlnkF9MAWLjymg0WMZ05WZxj22doNnReT5c0FhcAzatetkbxBptWPB5rtRsLBQK62caRm12HepavMpVe/JtYsis7wDwGWol8ouPSkHUfpf8VdmNvUXcagOvv03pRl87RA4yRKx7vSm4e608l/Z3PqV007tTejqvlZeUGVrdJjdWzrADvvI8uYSySGHcigPG3iGqrn8UhR1DrlNrXILqn6dUcKBati44u+lxeW9V7aRd/JuXkL+JXfrHmnf2AlpjXYaJ/N4wbceeKNtfch3x+2HJkF9qu0ZFnwNAr+cstjP93UL9ZTea/SNNx817vKpUeV9kS3NzxGXesI15Jy6kdTQSGvy+oP6WyTR0FdOpYkI2NPg9w++mDcaOHy3/ncnSZv16kav6QhOSwH8/xpWwO+9nORHX7GV33lXuznM4HA6Hw3Ggw3ei0sIpDhwOh8PhcDj2AKXanRd+khPRNLXFOM7cRzn6bJ5h3DK8tUpb3D2WjVVmE+8W19nCq8Tdshw/V3bd1j2ayDuHVVa6KiMpU6s9bTu/rredL8ZjiXzDRLPvzGTTPUk2bp66j4h7ZFV32Xfv+Yhmc594otzXRe9MVLonPxQGcC5SWrOzZt5e345cRzZribN72pKvr8BQPnNGms30oWyk8jUkM3B7N13MlF07Qy/4UyIPn6UZg9W4TTDXYvcpZ3na3Wt23zQ3OnIr1X+76MwhANqlwu6EGdpMuTdN1pKaD2xnih0PXCZuNeVSA1TB3PyxwgaddZ4ujB3vo0y1JykD72cmO++/6XXHX7gwkZfNJPfKBN2lro9QNuFJJpuQ5vrNDWRy3DBer5VHeslgdW9nUh45U5afc0ttFjtK/8tmyUCVLafdg9s30FzUhPCoOYjcrFNorUzQdsqdY11AXFiY5uiopy5XZoNOovXN74Tjhpn26Ni6xdV5JFuWdt6NyCtGx24/s45Gv9onkQeefr8ojGPnsrvuTuQHzrpK6Rq/Kn60xePlZl7pdbqyO7sfFQLuAo0CktknY99F5H4bcOcdSjWmH7l7c0UcsewKZTf4l/fIAbmF+91m3OLswrPuYx7HB0vYnZeZE3HFXnbnXefuPIfD4XA4HAc6vABxWrg7z+FwOBwOh2MP4DtRDofD4XA4iocHlheJ0h0TVT8nYnTKT2vdtcyivcXoOK2W/d/XGDsKt2j31D8T+R2cqMzWLKaK6A9CYyCN73UUK2L83eU7pY/7qTZd0qI3DSUqh2xzrQwRP2tzWCKfAJ1Kvv5RidHIvGSF0q2ZRfeSX3TbAHQ8gaWG4HiLXJKzjR2np1u25hpp5DxjRzQM1XJpnK4zlBfFpR9XQdGwLOocS5dldPw8G1Ec2BgbVEKXHUrxcrmG2Zznc645kWNWOLbHUiFwn0YbHa2Jrq9KLNLLO9oos6vL3pXINzwvC+K5c1sru/NGzUzkVwaZuJR7KS6F54qNK+OhamRoJ6gSgFoPbfVz7vWq8BU8vO5SpduZS/GKPAfy9KWe/Pt5iXzRDc+JItv0N59kQ7Wg3iV8LTsdckm2VReYeiFDxMybzZrtR2uW14qlHhk5rGjZ9rE3vbOG6/g2Fetk1w3H5PGzNfdcpRPN+940721liXEkFxgdH9OcuqC/YRR/lBjFbdwhUU/wWJVpaygOusi8qTbDUFTw/CPKh/IjTYWHjvROzyCFCX+t3WB1Iq+9sK5WFpA8o4Rjoo7Kieizl2OibvSYKIfD4XA4HAc6nOIgLTwmyuFwOBwOh2MPULp3ogLkDuxXMu88WmZd3jZml4d189A29ALKv12/6mhtx+nNdkt6Am2H81a4cTFuX0LbvVlad3rZfyXytHldRdHXuDweF5fHxjbCRK5SrAGguZy3ZmZ9reN7YXdAhjZDR5JzjY5dNgUk5xm74lKpuQ12q1kXEG0GM/uzdWVUaUsuhKHGdcbzg90hWeZaTOVg5lu1M8nFlEv9sOnSNN+qV94ofWqUoe22Ei2Hdcsw83sGKY9N7zrcpYgxjekCNElknmsAMIM7TK7qf597mm6P3FmfDDpS69K5zrppM9adcu6/lerNli0SedMM46oljF/VP5FPrfe60s3NayUH2aR4T5nhdZwhB2vT26k1bBnA2avE86unsUsXWgAA19D6JrqRNfPNms0mmV1sdjqwC4/pDgBgjBzXr/efRF6RaSg6iluLfG12nxs32pa1tMj4nVhMSn/dSwy7/ZQTirR7A7/SbXDVhXzTPr9jeso62vmgpqlhaoRNL5m5l0Uyjcf2eYaKhZ1W/O4wffp1A3F9P1lg3Hn7E74TlRb7bCcqhPBQCOGzEMIS+q1aCOHVEMKK1P9/SrohIYSVIYTlIYQ2RbfqcDgcDoejRBEBbN/L/x0g2JfuvAnQoXsAcB2AmTHG+gBmpo4RQjgehd/7J6TOuS+EUHYf9s3hcDgcDofjB2GffUTFGP8FYJP5uQOAbymyJ0KcQh0APB5j3BZj/ACFG62n7Ku+ORwOh8Ph2E18S7a5N/87QLBPKQ5CCFkApscYG6WOC2KMGaT/fzHGn4YQxgCYF2OclPp9PIAXY4xPF9GstF8tJ6J1yiF+u7mPfIpFWqJVyhdOablnvz1Nmb0yRKq+T71NPIy27Mvg+UTpP8Fci0sNUJxEldHrlVnnyk8k8vgRJteZY0qySM7XZlWHSwBHwa1HJPKvbpqp7OaeLrEhF802ZV+W9pCDXBHLdEqf9qvoJAAdO8TxO5ZqguOvLE0Cp4hnkGxLoPQVsdugvyfypIm/13Y8k4aZNq4jmZ+XnTcc22HLZlD/G73+ljRx7S/Tt8GP2c50lXJudBynU5CmbQAXvCMTbsqlJgCJ4htmP0IxUVcvVGaf3pWRyEdcKxeLnUzZl0lU9qWH1pU9Wh78znk0b3Q2Ok596rVEnntpK62kedTrAsn9H3+/Xivj+0jZol79HlM6NRc5tdzM369HSv8r5NF7pbiYEEuH0YXOo/Z2iXvi59zStkEylX3pN9mUCjn1D0XaKYoEQN+njRMdMEzkniQ3MnYcn2fvheO7epJs6B8GTZb6O6MaDhWFWdvNb341kedce5bSnXynvLgX3SLBSPdd31PZXX7FBDnINv3ldcT3YseG1naHhycr1bTuFKNKsVkDlpnyMGdQeRh6rhf0MZQM19I6zUjfD0woYYqDWjkRl+xlioO7DgyKgx9Ldl4o4rciv+5CCJeFEBaEEBZg2/qiTBwOh8PhcOxNfLOX/9sNhBDapuKkV4YQritCf1wIYW4IYVsI4Zrvc+7eQkl/RK0LIRwBAKn/f1vtdA0ATnnLBPBJUQ3EGB+IMebEGHNQsWZRJg6Hw+FwOPYWvs3OK8GPqFRc9L0A2gE4HkDXVPw0YxOAK2FoS3fz3L2CkqY4eBZADxRuOvcAMI1+fyyE8FcARwKoD+DN72wtIEnjbV9P+0M+qSfurHdz9Nht3fBTOdgim2Dd8Yiye6XvOYncYcEribwpR6eBP9f0N4k8p5Ledm7VWHxWr1USf8Llle9Tdhfj0UR+fvA5Sre2vKS61t++OJFX3KLTj6+o+LdE/t8I+b3PTfcru7mVxFXSB1p3yAlfJvLUY89P5M4Vn1B2D5SjquqWabmKbCLycylrVs60SrQVblwD7VoIQ3x1CBXApDO1m67qANmTvxJy//N76JC6FeNkrNo3eUrppne8UA44bdumrReQnG105BY+k/xqy69roMy2r6HUZ05BzzLtUfu1+6xWqrXPU+pzHilMfy+HzLEpHY07j7LMm7+wSA6Mi632EZsTmd3F6G76exf5eS7Tqiufl+eyoIPs3s+ZoNcKz8W5udqdV/9hmfc98XAiv9NHVw/43XvibumVq915DcfKfS6bdLIohupUofLkiWl+i7iUdkDnunyJQxP5o5aa9qRTWZn3D/SltWJds/zMjIu4YWPqb3Ppb3/cq+zGNhd3XqMW5EqeYVzJPWVdMo0BAKxYMEwOJohcdWtfZVeh4teJzJUPACg3WKWOEg67NauaMutNXBmjOpE7z1AcsN2clXqu9KW5ct11x8g5m3V4wuVdJiTyKafNUro3Fwpthgq1GKg9HFsmyT/WLzXxGtOuoXcYuU+vxD3KbkxHcedxdYorjN2UMbJOa39l1v1SWve6GwcqTgGwMsa4GgBCCI+jMH763W8NYoyfAfgshHDu9z13b2GffUSFECaj0MtfI4SwBsCNKPx4ejKE0AvAfwFcCAAxxqUhhCdReIPfAOgfYzyAQs8cDofD4Sil+JbioGRxFICP6HgNgKYlcO73wj77iIoxdk2jal3UjzHGWwDcsq/643A4HA6H40eDGiEEjlZ/IMb4AB3vdqx0Efgh534vlO4CxD/Pibgn9QxsAVD2HFnm3vw0OsugPFrEk18Uf81GUy33w5m0J387NDjjhDN4TNZLmW6S/bazm2bMrfnqfxN5fTvaQh9orpUv4pae4nqosVVvT29dQtvrtc3zn05zj7Pp7Bhyps9Uo+NteX4utY1dFsmWDfqbNHY2i4/b5LG2z4HdKMZlpdwofK1cY8fXtgWTe5KcT7LJmFPtE0sy8s0AcxsjtUplcfF17Rrg5zDd6Khf7WanL67dEc8k8pgR4pJ4cvB5yu6iq6VQ73N3meLE91N2KD9nm2mZL2L5tqaA62hxg5YZQGtlgF4r9Z8St99Hm7WLbetUmvcFpMjV3RjxzBWJPLgfuVssQzefl2906dx0GcaOi/Zaxm4eK2pfuVUBbB5Ai4DnZRVo8Py1GWjUL3aRb640TtsNHCayXc/skmddhrHrSPP+dpr3Nnu3L9KDr0XjdMr1xmX3BLnsppo2eP7xeNgKAfy+6FiMjtuwblvyWqq+m+Gt35jCNU4ybPEZJOeWcHZejZyI3+zl7LyHi7+HEMKpAIbFGNukjocAQIzxtiJshwHYEmMc+X3P/aEo3WVfHA6Hw+Fw7Fvsn7IvbwGoH0I4BsDHKCSHuLj4U/bKud8L/hHlcDgcDofjR4UY4zchhAEAXgZQFsBDqfjpvin9uBBCbRQydP0EwM4QwkAAx8cY/1fUufuin/4R5XA4HA6Ho3jshwLEMcYXALxgfhtH8lrs6pxOe+6+QOn+iPoGwvhrWbMLSC6GgZZ99+VzTBxGpsRhHE2B/l9RajMAzTpsJxr719nnn6HNqteSNP71x+o4jx07KLWaQ2dsnBLd545ycs7WlTrFmPtRpsqXSrWzEl2b78XGPxQU0w8+5vPsM9qSRgZ01XMeXxuLlE0yj7WNB0nXP0DTBPCKyMbug/vfnDrydKW0dmXKSQLqznzTHt+LrUDJ8TYFJNu5V5saqW36kSEiU0h8uUPP7RplRccxV4cM1vOG4zx2WR88pjxOtr/Upx3fmNKZWSIeXmtdIq8tl77S/ddbK6bVqXHboFW1Evo66Plr51SjYnR8nxwDk2Hs+Dhfq8p3kffR9qflXXR4xXXKbnMV6iT3ycYPss4yrGeLyDQGKgYKAEbTcV+j4znL71wTq1enf34if8iT2cac1aZ0sA3ltY7vhWKijlYJWcCbfG277jm0rBl1fpwxpH6VyTGVG2bQ+5JOK5Nh7MqRXTYpzF/gz3GYHNi/W/vhI8bx3SjdH1EOh8PhcDj2LfYPxUGpwI+l7IvD4XA4HA5HqULp3okqgKRuDzU63qK3hTI55ZiyNk+srll8F2XLPu5vICnc72KVslvWiNiP7RYsb1FTOnOlTpuUWRu8nMiWlXvTyKPkgLexc/WlqlwjVAY/GSf/bDilv0n7vVrSfpu2ma90c7OJKZpTrJubf4YMo+1162JjdCTZzjZb4JfRkmR+lhOMHV27VVNih89vr+0eJ9m6DZiGgN0wtr8FJGcZ3VQRM+8Rl8Ka4+pruzwRd75EW/y5pr0Mkm0RWHbT5JNs2mh3vYQDvLjht1pJ87QzDc6kkXruXTxYWL+HHSc0+O0/eE3ZcXsXfqT5FHiub61ErmXT30Y3Etv2EMO2TfQjvFYm5vRTZp0wJZFvG/cX3QZTCPAzN0nW5+8QWoee7Eq17qAMkm1aPM8xXkd5xq6A5Hyt2t62QpG6M6ELiq9YQ6nwHUmhizhot7BdA9RHxURu3fjswhs3TOu60THPUbOOzifajNFbh4giX9u1qCP3Oetx7dOuP5ioAGrI/Z9jQmCmVKGJ01K3r9b6Wnq4xbhmz6ylOUteqSJF6vk9dXEtzZY/aQOtqywRW5ygfZ2z7qX7tM/I/h0rSUQATn9dJEr3R5TD4XA4HI59i/1DcVAq4O48h8PhcDgcjj2A70Q5HA6Hw+FID9+JSovS/RFVBhKnYONr8klea3Sc3ksTI3/HMdqO3N8f9M9K5JWol9Zul7RiLutAbvetCzTtQF7r7KLbA3QsQy7JJlZmy3s1i9T9Z7Mu5cFYh1r6h3ySmeU/y6QYM2w1gHTUCDZ2Ko9k+4x4DLg9Wx6G7D5qQWU+7HzIINnSKXCsAce05Rs7Dl+wdA3Z1NzH1A/b33R0DTYOg2NsbBs2TqWoc2BKuOQbWzp+Hw3kwMyp5fi5HNAz+vgYQ5uRJ+L6o/XNbJ1GtrwezEv53XXHy4GNLZxKlzrhJDkw6+0THCEH9hnxui8g2bTxn7I0brmksDFR3H873/gZzUjzO6DnlC2Ds4EuSHN0Pk7Rdrx28tP0D9Bjb+cbzzEee7sueY5xDBQATKLjp0k2sTxvg54fj5vp0/zNp6TV5W+kdzW9f/7V53RjSPIcrUo7B+y4UR/f7n+S1uUVfd77vG4APW70DlDzFdBzdoLpx/6MiXKkRen+iHI4HA6Hw7Fv4RQHaeEfUQ6Hw+FwOIqHZ+cVidL9EVUZQlfQ3PgymGW2nH76OxdQajltp+eU1X6pV3oKtcBp+HciH4bPld2nVx2ZyG9+00LpMq9akchrrpB098zWK5TdeUShsKStSe9mFxC79owbok4T2pO/Q8T+Le5TdqMyhA/iJLytdF92PiSR12YLG3RmA93fNfModb+ZUqFMR2Hr3blV0rQrZehx25pJbh7jDqnSW+gavtwiDNiK+ddcm1O/V7Q0FdCLc8VR6nvVa6iC/QLje2Gm8CzTRq6IJx8l82hRW5OnnI+iYVizVTq+dS/wNOWxN5fKJl/DmmaGaiFLxF/R3LYp+L86l3QDRDxqvqbowEgRa36m/aWNO4gfbXFOtihe0v6xnFpyY28W6HVUvq+wd3Ma++K2evLxOp2Yr+kPal7/30Rev4HS+I0Ls/mSRYlcpqfM5Xq19IJbseoXcpAZ9LU6y7V2dBP29U3jjlJ2PG670FzwMGaLyDQOALCoNj34LFJYagzWmTXLz71SR6KkGGPctuzqs6EL7MLrRLJhPef5Nqs5vdCydXOdqz6RyBNX6md5fPV3E3nxNXIznQyvw8RudJ5xEdc5Td6Xn+8QpvBNS8wzIjcg02sAwKTmRF1QIGJL8zDfbETzOUPEBnhf2a14j95bhqVFuVata9Kx31C6P6IcDofD4XDsW3hgeVo4xYHD4XA4HA7HHqB070RthjCWNzepM7T1udO6SnJJJl1Z6/QtEPFLKqpqC6y+OYu2ak0m1ZqF5EYhl1XBFxnKLr9ylhzY7LGCNLK5r4/WUVYY1b/8N36lDamPn+BIpVo7kwq60rXWlDM+sHySzb9QdoJcbuQ22LrGuAY4W8rcy5Y8yjTk9vO0HbuwPgLdv80q4udi3XnEZr75OHLh2edgi7Yy6HqfccZjXjH94IyjfGPHLju7rc+ea27fuEQrYpsc2Huh8S5g/4J5lqog6jhS3Grae4Dky7Qqv2qWHMyhdWrWSgVQ4VszH7ZvETfzxurVqXFt9y4ow69A69a/TC48fpZmrvyvi2Si7lwic3nF1uO14QZy4ZnMqfVL6VrserEuML62ycotfx0VIJ4kBYjzrS9ZFf6NIi/QLkbljrYZwDTftmbROs0wduwWt389eAzYhcdFiwHsuIuKS/M8P06Z6fVsrrUD1AbdS34Dk2H9IMm9terDJ7j4MQ3icG3H6+8rHKJ1PE/zRLTv1XTF0dX6AvT6yzf9sO+0koTvRKVF6f6IcjgcDofDsW/h2Xlp4e48h8PhcDgcjj2A70Q5HA6Hw+FIDy9AnBYhxvjdVj9SZOVUj39e0AYA0GuirprNzMBVmq9XqgqVJPbi0rIPJ/KoG4YqO8UgPJpkkx5cqYukBB9WVQefrJ8vsRFdmz6UyJPv/Z1upIDkLvqZxP8nG4bhC9G92KKlsmv3fG4iDzn3z4l826qblN3CeickcpM33lU69tdXyqJU51wdz3Rfh56JPALXKV11ChRYdDcFLZlxa9T0rUQ+HrofTz7aQw4yROxx7lhl98TmztLH6dTHZnoM368nz+HnSz9SuqEn/CmROX7sHfxC2XF6s2IDB/BPnJ/I9RZ/msg1G/9X2V2H2xOZ06C/RgVl9wy1d8fiG5WuX+O/JvKZFBCiYkgADBx1fyKfOug1pVtJgWHrb5KxiW11HE2YI+NYd9DSRM5fl6XsDq3yZSJ3rvyE0o0fT9wINL8e6awpurvfJOnp8femH2/R88wlRTdo0D8LYzXdxiE/2ZjIf636h0S+/ONxyq5abbHbNInS3W0sHccAWYqVGRL71aKHBBJdgzuV2X3on8id8YTRXZ7IR0Pm7JRb9E0PuZ7W+uK/JPLoxn2U3dAvJNhny1pdPmBQvVsSuTcFEjX8WAeu1TkqP5HPxzNKx0zkTGOg4pcA3BHkWfaLEutl19Sc+89K5DV9qitd5r3yjKr0lPf7lqk1lV2/S2StjB3/B6Vr2EuoLHht2yoOzNq/6ArNI5J5j1C/8LgNu3aEsmt35z8TeQFyEnn9oz9TdvEImbOhsn6Hlcki6pjaVRbGGHNQQgiH5kQcZ0tT/EC8HUr0HvYVfCfK4XA4HA5H8fDA8iLhH1EOh8PhcDjSw7Pz0qJUu/NCRk7E6aktRpO+qlK6C4yOU44p1fmUD2YpszevFuqCx+7qmMjWzXPbLNlCJ29NIa4heZiI5af+T5mdX122xp+8oYfSqVR4nsg25XWgPMs4VVyAvxo0U5nNPbVVIjeeq/P2F88knxurOpprsQfPLi5OVW5ZjB2TCxcYHT9Pvv+Bxq6LiO1ulC3zF0f8VtvxvdhCr5wGTZ6nXdLAp5JsaQfyRSwzibbdrzMM63kkU993YSDmsbLs0mvT2L2kzVp8JD/MurCtVhaI+NyrrRP5vJv0XFl1oxRIrfd7cVPGPxl3219iel0Foi6YQYWszfjWn7w4kVdcYRjns0W8qNfERH5yiF4rQ28T1+zwqw0PA4/jMJINk/XGVyWNvfq0r0Rhi/ZyersZe/QleSrJluKAXYL2OXckmSINeszWLu2J9YmVm9Pzx5j2+D4tm/kkknl9FCA9jAdTUWyw18t4gfq9Ti62QO9Bw2x+yl3yPuZ3MQBUG/lxIm+6TlyuI+68QtkN7nqPHBTnONqaRgbUmm313HSleu18ehHki9jt7b8ru0mnErM5jX2rv5v2RlB79v3O4zujZF1h4ZCciGP2sjtvmbvzHA6Hw+FwHOhwioO0cIoDh8PhcDgcjj1A6d6Jqgpxq9g7ySLZMDmrbV0iUH5740najrZ1Z+PXibwQTcy16BM9u7zRkbuUipRuf+8nymz+aU3lwLq9OpI8gWS7Jb+F3CjkzbJZW+xGUqzWFtkkW9Z3dkXlF3Meb0mber4q28m6SnhLnZ/tmcaO2l+OBkiLliRnGB27Dpn4voax4zaMC4gLQ1eoJGO69VjjzuM2O5JsnyUnRdld9AyS2W1kSPtnrzu96HNMP2byoHbT7v1cnCEH5GlYdExD3V62iKvrmwc9k9YEP1fjVl2xmFx4XbSO3WWKDbpAm21hBmjr4ue5yAlu5t3xJpqiSNhnzmvCMJarNZxFsn3O/Gw7Gl0uyTRWq2yaII8jX9c6SvJItuuoUxrdBGPHbrp8o+M1nE2yYSJXWXgDJQPPMpuvHEkuMOM+37SSsiapTwX4qTbk8wq0SvVX9d2EuAyU9+ou71Ke6rSmdqkSUalo2YaGlO9NLPVD9d+IXeZfScIpDtLCd6IcDofD4XA49gCleyfK4XA4HA7HvoVn56WFf0Q5HA6Hw+EoHv4RVSRKNcXB4TlHx04LrgYAjJ2o2WhVTElvc48F4uNu0YTSwG8yaeDZJHMsh41/yCLZxvZQP06+SvLYF12tmW9VzIoJefj0ElEeMaogkUcMMum8EyWdd2gPSvW+Qqd633dPz0S+fPkEfTGO8+B7NnFlPa6SNOvHNl6idMxevXk4BQ1YxueWEktWv45mLF9xC8XHUCxL43uKoWTgPpp08QlNhdm858uaGbpFG5kD7+yQeI1NazVLct2jViXy6g9/rnRP1pEgtItWPSuKAp3uf0ETySVnhuOVZnAew8WJPPf5VkrX9Vxhvmcma2ZWBoBpt3SVvl+/VOlWLxXWek67/6yDrip/+POfy0EGKbLSM3QP6HGHUo25+o9yQNNh4ODblN3oK4Yk8sJ7jle6JnfT/CgujojaX3iaaWOKtNHjApm/Eyf2U3Zq3TOZeZa5Fq8VG2OUK2L5ayTO5frqtyizkV8IB0r3yo8o3WxITFsFil1cdKl+d5z98LREfmVih0S+rMfdyu6B5VfJgYmza37Jq4nM87LnfL1WUFvWbIs6mg5j/uZTErlzVTnPxhG9dr8EKp3SR2gMVu7Qa2BTOaEJeC7OVroO62SN7VxJcYeGFqDxBfK+WHyteSlQvFTDFsJevm6HZiz/vEDWxPbRJk6pt4xH+zpTE3n6qAuVGbP9r15F83Kefj9s7iKVC6re/rXSqXnZvoQpDirkRNTYyxQHnzrFgcPhcDgcjgMdTnGQFh5Y7nA4HA6Hw7EHKNXuvFArJ+Liwi3GDndNVrrPKdV59sZfK52iFyCG8anPtVF2HT+WbfK4UliMt5oNyC6VpfjxtDe6Kt0Fp4n7ZsoQyasectufld3/4R+J3GybdlltriQ+ikZRivYuOe+Xym7Qc0JXfG24IZH/E832f0PZGp+y7Byl+we6J3LuNklv71xRb+s/0J1cAyZVvXxzcV+cU/35ROZnAgCvLaT9dMNe3WGwPM+KkG3tJ6/VDNVVhknx0dcqi9urCx5Xdqtrivuq/vrFSrfiUnIdDic31RbDGTCBZOu+oVv541dS8PmOhbp4sGK0Z+/FBG3GzOmVBmxSqq0DqNAy7yWbmIXZjwgVx+njF2olpWPHnVT09Lem+PVNpOsl7N3xd4cou0OelIKwX3XXbtDBzw6TPpGLau6F2k352FMdE/niMFXpmkdxN40jXocz8aqy++CLetKnGvpeTv6K3Onn05oYrswQ75F7bjNO+nEYPld2G2gQ2ZUFAJdWnZDI96+TQsA7exrKC147xltSbQyxco+TlP78/ocru6wzPkvk5q/LeMw56yxlx/dZt6lx715btHvX1BbX880y+nMoA7dh/B1r7pT5kXm1zBtLY/Bca2LSD6cr3c1RSlKM3CYu0YKNRyi7MFfmwMkX6LIATIeweibdv6USoOcy8xJNXdB6mhRa5soH+c+ZZzREnhE/8xebtFR27YI8v0oFer5tfY8LrJewO69cTsRP9rI77/+5O8/hcDgcDseBDs/OSwt35zkcDofD4XDsAXwnyuFwOBwOR3r4TlRalOqYqJ/k1I+/XHAXAOC1m4xDnQ/zzYkUi1KnsXAQfDjF1CfgSUP+/mptP1ZmqgRBgbkWx2WUowa3mvIwnJ5vQnFmnit++NZPiA++feenlN30eyWtdkvvson824r/VHZZNCAP3HuV0qkU4ZZpfgfQ4RKJWZo2RceBqTIPHN5lF2F7iT+qWqNAqTbfTrnqFL6S2XqFsluztL60cax0cvMCXXpk0GkSEDLqjaFK1+o0qaS+keJcFk/RKdFV20v7FSrq9OMr8bdEvuHukaIwWdWnNJWU7lMwP5HLmZoKMyjoaskTOvYts7OMQUvKpX/fUBy8+4WkUm/ZkKE7spbmH83t3BN0yZP2X8jYHFJZYqI4hg8ARi2XMc1roPuRvfR9OaCi9S0Gv6TsZn0oMTCP1NFzqvvyp6nvpNBhLijT+4tEfryWrh1z0azn5NotiNrkDU1t0uM0oj94g+gPzLpUVCdbjI7WQO0mqxP5XLygzPg5N6X5AADPbDw/kcvSu2NrfjVlV7+xxPh9+oWUxKlXeZWyW/wyTUbTX44X6ov7E/myKZp2gcvW1G+gYwvzNx6TyMdXFzqJHSir7JbcK/O5Wl+K++L3KIAyGfIsb6qlYwtvCDRpJw0TublOIWtY551EXnb3yUqXeVXR60iVpQGweDmN2yRo0N+Shj2EJmHZYn0ttV1B8WJVzlyvzDiu85SJ7yidmn9dSjgmqkxORKW9HBP1lcdEORwOh8PhONDhFAdp4R9RDofD4XA4iocXIC4SpdqdF+rmRNyc2mI0jNqKXTi/mEYySG5pdJQl3+guoRawqc5z76ZUbbvjyemyfC1DWK4YoCdpv8HJgyk1+yY6sXd61uh4nKRp12uqB2f1QkrntW6IXJLZXWFT+hlTzTF3nzdr3zN2tZEe7LIhF8Iuz5J22ut2IFbg8SdoOx5vm5rNbsaWJN9u7JiSwDLTd6F/ps0gV5mdl3TPVQeS+3GJGYxckmtolRpTfkZm7jFL+epbzHjQeWePFSqPAjVJgRMhLoXx1wrvwvg7L1Z2vboKzUf+ZJPe/TKld08lhZlTVdqKa6NKZb3G1k6pSw2S4mllhszbxEXzjXEjrb2J2uB1OV2ZYcQzUglg8L1SBWAXdzTPUevq47myJc3vgHZHmvGocxqFGgwh/6CtwPA0sV5n0++2sgK/Lux7ivpV7Tpysd1+FNLCzktu8xqSzXqr0lOe85ZhNUVh34nUftUcHU+w+WlaL92GJWJm1NUT1twv7n7r+lXjTdUTkGtCLXjc7PObSjI9osz+JuzglvooCrWvX62Oj4W4YOdcbSgqeAgeL2F3XsiJCHvZnRfdnedwOBwOh+NgQOndb9mncIoDh8PhcDgcjj1AqXbnNcipEscu+AUAoPWHs7SSst9sFgm74/rjvkTutfwxZdewAWVbTJRsiyqddEbFtq0VEzmnut7ynLtYXH1DG1NR4KW6KDDyRKzWRWf/bZwsvoesbssS+Xmcq+wavSxbwTPbSEZfD0xUdosg93L4fO02KX+ssI0fXV2K26qimQBm1jstkW/Bn5RuB21wzlpqijoTLjtBCqQeii+VbvR8KUbL+6W3Nrla2T2H8xJ57iwZay4oCgCLNwt798+q6qylP+Mvifw+GiTy2zhJ2Z2B1xP5A1ONdsInlydyhYqbE9nOYt+qLwAALXVJREFUh8EYkchtvnglkQsqV1V2TxOt8V3Q93wv+idyWQpU+BKHKrse2+S5X1rxYaX7D2UgvTZRUllj1AVRwzZ5PzTvI2zK+eb+eU11h87o+tMbd8lBprhNcuto/03LVZLKGdfof9/VayF+0dUjxDVZd7Bh3n5CdLGmvpesVrJ2/o7fJ3JfVWUY2LhNGLWVmzXDvCu3Svsnn6B9RXnrZO60qfVyIt+Ja5XdOAib+ZkwBX0hmZKc4XbHTTpT7ZEbZa7cSmvxbujM2/vpWm9AM2/zGui9WeZN86q5yo4LXp9jMg3/RWz0ncjPmo9jlN0Vjwq194hLxHXKDOIAcNsU6VM81czL7ZIdm1knP5HXhEeV3bAoGaXDFo5QurObiBub5+wL0FUcjsQniTxqhMnsHSy+YM5qvOjl55TdzW3Ev/lvGvsXl/9W2cUZcp8VumxWuhOr/yeRF4XTS96dt4sP+Ae3+p33EEJoC+BuAGUBPBhjvN3oQ0p/DoAvAfSMMS5K6fIBfI7CaK5v9tV4uTvP4XA4HA7HjwohhLIA7gVwFgoj/N4KITwbY3yXzNoBqJ/6rymAsan/f4szYowb9mU/3Z3ncDgcDofjx4ZTAKyMMa6OMX6NwlSvDsamA4B/xELMA5ARQjjCNrQv4R9RDofD4XA4Sho1QggL6L/LjP4ogPzHhbtRNl20OJsI4JUQwsIi2t5rKNUxUaFmTkTHlJ+2p1EWt4GXSzI5NE+98zVlNvd+ibG5p0/vRF6AJspu4kRiNZ4HjY4kcyr1dZqeoMVR0qlZ95s4Ik6rzSU5y1yrrbQZ/3VIIh/RVccArb1CUr1PvkfHcix6meJUODXbXovTlu1Yc/o/M3ZnGDsmrC4wOiabXplGBlSact3Tiknp5/RgQ0yv0uRt1XoGPz9Lz8CM9gMoRXyYWfMcVjAwTR9sH21/OZ0+n2STSn7qZJnPc8e30koax/G3CV1Br5d1XGBuG9kZb3meMGp/9txhyu7wrhITtXlSBaWrmr+N+kixLWbeZF4vaeEqNR1Q492+gzD1T7/7QmXW9aqHEnnyxN/pNnhechiUSdXPmyyM69nziW09Q9upOWXXPdNy8LyxbfBrwFQFqD1Z0t/X3i1rtv1VplJBPxqD3qR4EBocgmapN3it89qzNAm8Zi3NRz7J3dL3o9+rf03ksV3/IApTdKLxJTKotnpAwwsoXvV+ifEc1mewshsW5D2omM0B/c5pTxQHAwzFAfWrVR/Nh/HaDaSk59fi74aN/wp6p2eIePLNxbx/c3U3VH/H7QeKgxKOiQohXAigTYyxd+q4O4BTYoxXkM3zAG6LMc5JHc8E8McY48IQwpExxk9CCIcDeBXAFTHGf+3lm/CYKIfD4XA4HMVhv1CWrwFwNB1nAhTl/x02McZv//9ZCOEZFLoH9/pHlLvzHA6Hw+Fw/NjwFoD6IYRjQggVULhH+qyxeRbA/4VCNAOwOcb4aQihcgjhMAAIIVQGcDZ23X/dKyjd7rxGORFTUluMA42S99hMEVg1lOw5s1vXuSSPJrnA2E0l2bqb2FXAW/yWNZv7MUGrer01JpHHny6s0TVn/1fZrf/9zxL5lb9LuvHZU2Yru5oXyHnrn/+Z0jHVgroXy07ciWRblDObZHabWLZfdonZ9tk9ks7VAOgd5uPS/A6g7mRy9XU3rj5mLmYXhXXRMMt1gVbVv1FoNFY80VgUU00b5OZoda64BhZu07vamx+nwTGM2pApgErZmxJ56xxdmFYxxFtmerq38pOE1uL/quvCwq/jjERefbWMW7e7/q7sJp0vlAEDnrlD6ca0+6McFNB1p/9P2W0f/pNEbn+XcVl1J5dVNikehwbNxXYNdOHtF2+hdHJeb311E+3fInfhL+m6WeZa7H6z7l1mN6f5VabTF8ps59OV5aCjqUCwhvy2efS7ZUfna/F7xdyXeq/kGx3Ny1N6CV3Mm11baDu+tnG/KUZwfj/Y9yrPxYI0bZs+nnyncXvdTW6vdC5yQK8BYjYHANxOx1xxYI5x59n+M/jaPdNcF9D3Wcy8GXCzrJ0xx/xRK/ndtKSk3XknR+CNvdzqobtDcXAOCv/6lgXwUIzxlhBCXwCIMY5LURyMQeGK/hLApTHGBSGEugCeSTVTDsBjMcZb9vINJI07HA6Hw+FwpMH+qUAcY3wB0IRkMcZxJEeAiPPk99UAGtvf9wXcnedwOBwOh8OxB/CdKIfD4XA4HMUgYtcK3A6gtH9EfQWJbxpodPkk21RcDj2gESjf18RolJMYjQ4nTE7khdBu3DVLKB3bjijH6bDPv6exy6bYtK26xAGXCeC4oo3rqis7jpX5OZbLQYE2W79U4qBOPtfEGpSjWIMsUtgx5DgBW32dY4c4hsmm6nMbdtz4PE6Ft+uY45k4ripTm6myNd20TvWD48BaGjuOfzD9+PSLI+XSnSlV/z2Tqk/X4nIYnxdoygAF098yx0lczY5vaOBsHEYn2n7PN3Ee9DzPqf58Is9XZL/AORDdmAKJieISOAAwqZLERNnyJWPaUmwH9XH7Vk2FwDE2lkaE4xqr9SUKiQ2aQqJ5AylN8w6VtgGg1x8/ZxMzmY23E3l6F4qJytB2qj1DT6DmB8Wf7WxWWdvlkdxSBwVVy6H73CL3WaWZLju1JbemHHAsUoHpE8eB2dhN6v+bCykOqlN6u13i7Oh6dU6TB/3hE3rhN+xF9ASjhJ5gl3cMzQdbEibzKlpjE2WNcSkXAHhlHnEzcgwUAFxHx1kkF5h+cNxSS+PSyqR1xePRydhNJTuKja3UdpMye5PXn43/5HfkPgmRduwJSvdHlMPhcDgcjn2M/RMTVRrgH1EOh8PhcDiKgX9EpUPp/ogqh8SFU7vFaqVau1wYflHJPPwqtLVKW+1NL5mvzOYcd1YiXwJhcj5ascwDL/Q5N5FXT9Pp8zU7EJ3AG+JGq9bsY2XXpqxUep/cTDMtL3uDtryJUXvnSu0aaHWa5MLXeUO2/DN7rVB2vP19zgm6Enu5NjsS+c2lsq1f/4TFym7Fo5T4YKkLapBrspP4NWrW+VSZrZ9G9ArGNVC+rbhWK1YSxustA2tqQ3IlDmhN6cHLTXrwe+IibXjuIqVaNpPGl+/FZJwrd5lJzN0yTvrVepDkma9pa9x55EYp2JGRyDvzjJunUhoZwM4FYrszI73dqXWE2mJunmEsJxfFlbgnkVsv/Lcye6qJuLPuHyk58523PaHsenWT9dFh1itKpxjc88XtiQW6w6d2IIb1Waa/GSJ2Kiv07g/0vlKZ3UYL5PSXF+o22MWSS+8Ak6rP7sjhNo2fUY7m+XvaBV/7XGIbf5TeRdblSm6/asfpd8KmteSuLxCxc2U99uPfIz9+S1JYFyPP555mcg+nZ8GUJdal1IzOW2smHM3tz3eQe7q5vlYbyLtu2db07ryGLcjtx2sUQLfWQrExqWVWInfHI8rulfbnIC3YhddF5LpRs+Cvvkne6RfV0Yz+T67sIQd5Ig6sM1LZjS43RA7Iu9mp6hRlN2m+uMVVtQug+Cocjv2GfZadF0J4KITwWQhhCf12ZwjhvRDCf0IIz4QQMkg3JISwMoSwPITQZl/1y+FwOBwOx/fFN3v5vwMD+5LiYAJ0KCNQWL+mUYzxFwDeBzAEAEIIx6Pw3zwnpM65L4RQdh/2zeFwOBwOh+MHYZ+582KM/wohZJnfeJ9/HiT3owOAx2OM2wB8EEJYicI6N3OLvcj/kBTEXFu7rtblkVzOZCblk0xbq1/iEG1Hu9ULyH+z0dBr83av/cBeX0AuK9rV/rKRvtaqqvWQDuWPE9fW9sclY9Bmj722lHwPH5DiNNMg9WMCLlWqNc+T+4m2j1dsMbxlvJNvGbUrkWuji0wx5b4D9FiZcdu+Vu5zO2fFnantqnYUn8VMVlpXBrkLlz2hXQOK9Xo4ydadx1mIWUZH4zF7x6/lwBYWpvvcdCxlltlsKXJtlMnWLNcZNQqkjQnURr5uojo2pu9vnogq+zNDVzCYDWG+395ensnKuWa+0hh+8aD+t9mmNYfLwTyaG+aZb0OFtLpK7SWLSfU3X7vRBtS7Vw4ydBuYTu8BzsjM02aft6HB5zlg3SkZdG1zrbXz6X3Ec9Ey87cUcVMXnWnY6ilZWK99I2v7XRyv7PjaZTJlrrDbFwDKdCTdg8Z9TNmsVQZKKMCWBcZ9Po4mus2m47m9hO5luDZb91QtOeDxzdZzb90OsjPZtirzklyzL/Qw7jsuJmxdkwUisgtvddBs+Vgp473L2OeTTH9NbZarmh80j/IU/T6ATBqQScZdul+DbzwmKh32J9nm7wC8mJKPAlSg0ZrUbw6Hw+FwOBw/SuyXb9sQwvUo/HfLo9/+VIRZkUX9QgiXAbgMAPCTnxVl4nA4HA6HY6/ByTbTocQ/okIIPVCYD9M6SvXjNQCOJrNMAJ8UdX6M8QEADwBAOCKn9FZPdjgcDoejVMDdeelQoh9RIYS2AAYDaBFj/JJUzwJ4LITwVwBHAqgP4M3vbLA8JFV7XjF2NraF0+mnirjoTJO3TnEen7eRlN2P1PcedIr0g+ZazDZNWa9bm1VTZl82PlQOXtJNbK9EcVAcl2Hs0JG+KSnWqwK+1nYFIh6OdUq1pgrFROWTwrITcwyPHV+mCZhOm4xZxo5jqayOwXEkk7Rq8xzJ1a93D3XKzgfuYyOj4/QHZgKeYeyKoTjgmI1NtckTbSvT8zhWSSMDanx3DtTxK5tq0HFHUixQZpi9TeKZMNq0T+OxowflcGzRm8KH4Cs5uEbEctih7PiZ7yhnckIK0sQimbfPog8pjsTMqa3DZL1UuOtdUZhndGZr+WHxVkNFztcrSN+Pw/gh8Xyore3AZP9m7FVFggyS12gzNU8HatVrNynK7gQ7OpvxpTHYCZobJs5uZxfS2fgg6seWSRQHZe+L4wLtO4HHisfG0EQsx8/lII8UA/Xc+3wC0SSYfixmmnmaK0faf3vzte3Y0/NUca0rTdzTsTcl4ob4f1qXSzK9m7ddZdj4x5DMBO6tTZ8K6IVh4ySd4uBHiX32ERVCmIzCsMkaIYQ1AG5EYTZeRQCvhhAAYF6MsW+McWkI4UkA76Jwz7B/jHFH0S07HA6Hw+EoObg7Lx32ZXZe1yJ+Hl+M/S0AbtlX/XE4HA6Hw+HYmwgSllT6cHhOZuy8oJCxeMwQw1DNn4eWdZhcJ+1PkHTW6aM0U63avudt92La28W1Reedcv2sRH7z0RbajtOgTaHeLWfK9n2VCbJBd1+fnsru8rsnJPLUq4SvtOP8l5XdY007JvLF907VF8sgme8rX5sNukrylkd9OFgry9Em4mjanjb3VbOXsLkfa/au5w4hxmp6DidfpQsmfwRJLlj/KCUaGNfLc61l3/y8mbpALrMfc+r04uXaHdS4gTzMdzfqLf9nq/8mkduNyhVFS92PXk1kX5+Zm7/EocruBUiq9pNTeihd1wseSuQGVGjaupnHTxMm60Yd3lK6Jct/KQfkKvmqo3HnTZL3Q/lOQrVxZHXtNvnwDXm4D5zWXekue4JYpMkl8cf+Nym7O0bdmMjvD9L38vOZlLzLtBHFFMhddckRSlVvpjDmX9b6bunvzKuUXflsohR5kFzptoA2vxPOTK+rc734ga/E35TZXbg6kTtDM5G/TenvTKuyeIielxfcJj7uKQslfmBAkzuU3WM7LknkTS/p5OcO50qB9UsxIZE7Pq/fHWVyhCbhzFral/o2TkpknttfGeqYKVdIH1vdIz59O39X3CC0KjNv/pXStb6BmPVbksK4/VoNJpqIEebF3UVifJiJ3NIYbIAwx68N/1C6MmuvTeSLa0kbk0b8XtnVHywVH1YsJroYs7kTj5b1F54zf5s5DKFZWBhjtEEF+wwhNIygebF30KxE72FfoXSXfXE4HA6Hw7GP4e68dNifPFEOh8PhcDgcpRa+E+VwOBwOh6MYOMVBOpTqmKhwdE7EwJQT3MYicTxPgdGtTaMbbsZiqPinL5o8MZHzTT7+m+MpvsnSDvQmmekPummzKmdSqYXeutRC+TEUozGcYjR0N1Q6fWwqfa+XvUSZrb5f0nk5zgUAtk+i9nmcbHo3j/cco2MvN+8A2092Ttm16dL8/JjioJjK9DUflhir9dcaIlamXbCpwnxt7rt9lnzPdjwapZEt5QWD54alZGA6hQKj47HhlPNcbVZ1jAzW5m6mw/QsLptM8UEf91Fmo476QyIPuvu+RJ57VbayO7VfXiLnjf250mU/8b4c8JgeC41u9JJeY0o15YpY9Rq6r076vs5+bloiv7K4g26D42V4fE0q+ZPPnJfIF93ynChsyRaei0uMjikEOLXeekTySTaMDOq5U9/rPPyeMvuwKwVr8XywfeL7zDI6nttEZYHbjR0Pt6XlyCOZ+2HWW+adKxJ5zflEqWLX1HU0H/LMfCggmcaGY6wA4LUbKA5KD5umB+Fr5xu7XBHLjNQlmHbWvlMOug2T5h5ZrezWnkFlgGgeVXpwE9JhaxdNg6PGcUFJx0Q1iMD9e7nVMzwmyuFwOBwOx4EOj4lKB/+IcjgcDofDUQzcnZcOpfsj6nPIVuto44pj5mXLPM3b8sRK3mHy48psWiOhurqCUpPzKJUXAN48k9Jv7bbzsdSvtdKnzA4rlBmnN49qNlTptl9DLjZOpR6pzJD5NrUp2e04aczbym71SHHnnd/nGaV7si2l0+eJWKX9emW3pSe5HK2bg2dVR5LtP2QeL0bXk+QatHi7lE9r14ly38ce9wdtxy4K66bjKvO8uWzdFVNJtozP40SsPVe28tdOravt2NvALgQ7R1lnGdbzSGYXlXGrdqwoz3ZijX5aSe4bTrt/4Dqd7n/FmLGJPOgbcec1e2GxsmNXcuMX9Nyu2ZncrDXIzTpOmeHs619I5Ff6GlfcQBEvrfhwIo/uNESZ8Tp6ZaRpg58ZLzFDk3DhB/SQOpIiw8QM5NNNG3d0+Zbkgn+a1u/T2k7Ne+tmZiZ9unR36DT74WtvlQN2CY6BBuuaGx277fi8TGPHDPy2v3wvBSTnabPe5OMelj9CFOY90r7O1ESePkDTzzR8blEiL9tyciL3NS6n19aSO6+n6S8/M+5jMWEHTGMAAJPIhYdJIvd+RFeJGF5Az6iliJ2ralqLib+ndWodXew+tkzyjv2G0v0R5XA4HA6HowTg7ryi4BQHDofD4XA4HHuAUp2d97OcmvGPCwq37K+YaNKg6KM5s5d2L6z5MCuRB9WR7eRR92o3mmLCZdeTzQQcIO6mShmfK9XWlZJh0aoJsedebdhzeavWZO7FGsRiO0+e1/irLlZ2ve6XreZWfehao/S1cgdJodeWS+fri9EWd9VsyoJ6XKfOPNBDWKn/hiuVLovSW6ZfQdvwHfWl6rSWdJl6JkXqtUepz3kidrvz78pu0ipKcetGLtwBygxLLqmXyI2mrVK6gR1uS+R/Q1yzqvgugFpUrJmZzQHgRfK9nLxD3KcFGzKU3fBaMsfOh7jb1qGWsnsOkiE2aoqel5ddINl0zAy9HA2U3Z8uvCuRz35qmtLN3yZzYPMwebbRMJaH92S+lWkrmUk7N+iiyKgia6Ba5mdKtWkgsWNTItlz/XX11fNOFSb5OMX040V6T7EbxhZ4JpdQPF23cVhl6ddNlYUdfdDC+5QdatMCf5wuYN2qBUVfF4AqlM1Zo/+ALmB7J/mZf4PnlO5eXJ7Iv8bsRB4/Qk/uIYP/nMi3vfyXRB7R5gplN3SjVNXaPu8nSjfgXGE3vxL3JPLPl3+k7MpkyBywrq33qbBwS0pp+wRHKrtJ1wqbN69nXnsAsHqUhB3kDzpc6bIWy7PMbEzZfi/XV3Yt2ojvftaotkqHTjJnB9aR2Ij5aKrMtkGKCS8aof2gtQeL657dlMODLkDcipLQXvuYYjIG6Akcr6B3/Xrzt7kZhTVkVSjh7LxjI3DHdxt+L1xwQGTn+U6Uw+FwOBwOxx7AY6IcDofD4XAUA8/OSwf/iHI4HA6Hw1EMnCcqHUp1TFSonhNxTirX07i71efhGqNjJl9KC6+9wrDMtpP09JtflNgFW+V78qzfycEwcy1OHR5Iskk/bt7kVenS78/SSk5N5tRWG5vVV8S4Tnzr2b+Zq8wWXyoNNnx4kdItmybpwupaLc21JpBcYHRMw8DPwcaNMNWAvRcO42KqgeHGjvp16p2vJfLca1tpOw65aqlV6j6zSbYs4tyGZdumPpa5nWKHrjOxQzwXOfYtz7RXQLJlc+fU8pYka7Jm1H+LKse3a6yV1OYDsyW+7bKJjyiz3B4UP3eDxM9tGVpW2VUZuEN0o41ugejUMzfv5CpDibV/tGbt59inswcRK3l3TWMw8BGJbxt9t6Y/UPOIYxwztNmqp45I5HoTPxWFTffn+ZBrdMxGz/Mr39jxs8w2Ol471MYFT01SZlNOook0kBSW4oDDb2wkSh7JHUm21Qi4T5bigNdwozS/A2j38D8T+cVTf1t0/wDUfX1pIq8ecoJW8tqZKuLN11+jzG64gnhgMkx/+X3E92XtaBzrz9XUHivOoHVVIGKrtw1zeqAH2HZYIjZ80bx/n6D3r6XD4LjZOSXNWF43Ajfv5Va7HRAxUb4T5XA4HA6Hoxi4Oy8dPLDc4XA4HA6HYw9QuneiMiBun1yj461hm5qcZlt77eK6ae1mkI/qIxyt7XgUbco1u2/YBWSKg77TiFLmzTZ51W5ENTCDqAZ6mmtRm9uJhXnVF/W0HW2FL/tYuyaV6yiDZFOkVblP7ZY/syHkkmxZknk73brb7fW+hd38pWvNXXVG+vPZvTLV6Nj9yC4f62LkZ2tXDrFh75xDLjw7H6j/ijKghnH78RywRYyzSea+m/6umE+uhmyt4+fyOmTcqnX7WJnNANEQ0NjMqHimsmPdgormIbEbgu/LsHxseYlceN3Mv3pHC1M90zNYV/0CHuCOpo05xHbPXczXZrk0HqpobYa2U2u4wOjySM5KI9s2rI7nGI3h26ZigroXnvfmEalr2fVG85eLkm9/XFMhqHmUZdrgZ5tBsmH+V8+I381mraxeRe8mwyqf7v1gaRJUP2zxcr42UW/s4qYk3YrFxi3O77CWIioaAwBoS5P9pWGJuGzpMGWm2P3HmSLq+xUeE5UOpfsjyuFwOBwOxz6Gu/PSwd15DofD4XA4HHuAUp2dd2RO7dhnQWHB3GEvj9BK2uav38tkVNCW7EWNJybyk+N7KDu13ZuuWCWgmG+xxRTIpfMaNqWimf1O1na8nWy2v7d0k2ynKmMk0+nmQSYT5QnJRGnRmZh679Wpi+P7C9P5H7b9Vem+3HJoIh9G7Oub5hyl7P7Y4qZEZnZtADgR7yTykzfQmBr3Tc2msnWdgf+ndCtepm1zyug6+y7NvP3Ky5SdxQVtzfb/lEvOSeQLpr2gdB06TE7k94n1uzo2KrtD8WUi2wzNhyAZmjdCxmbucp0leFkDYRu/FFJI1zKgv4w20vfxmsK+XS/JbjoHci+2T2MvlSLMJz+sfa6LVp0mB+9JJudXLTXL9yHEWM7ulpon/FfZrV9Mrocaxq84kk7MFnFCj87KrGc7Kca66sUjlE5lyaVxcwFQa/H9Oto9/2vMSuQuVKh49CydxdeoxVuJvOTaX4rCuqMLSM4yuqki1rxLxup2XKfMHiQ/8+nESg4AD+4gXdl/JfK0aV2VXdcODyXy5PEyD/v10mt77HIqyp2vu3tBG8n4u4IYy1suNhUNaOxbnKAreX8CeWYN8H4if47DlN2sR+V91OoSyWJ7B79QdusflTn14iUtle7CL55K5CqV5T21drl+5ic3kHm/6Ab9ACtdsymRO1Wdksh5u/i+BUsW/lIdVzpW2uBiwhPP1wW/Gz5D7/6l9O5vNEzZxXXy7ghPmb/N3K3mJZ2d97MIXLuXW73ygMjO850oh8PhcDgcjj2Ax0Q5HA6Hw+EoBh4TlQ7+EeVwOBwOh6MYeHZeOpTqmChmLB/xiK5Y/hlqJfLrhqKaq4qvvUJ86JtH68rbZ5UVFvH5A6mNbN2PwT2HJTLHMQDA5WXvTeTh025N5Fc6nK6vNV98922aTlW6V4LEqfSKEl8xvruu5v7cI5KOviAIe/eVUecOV6/5VSJ/uj5D6R6DxEs9i98kcm+TZ9+9HdHpPqhjYGof9UkiXweJVduA6spu9BdXJ/KWGZqhelQHqWB/CMUiXT5qgrJj9uqX8zomcudsbfdkkNisbvHvSjfpCqkqn3mPVIT/Bpp5e+29FG/REhqN5F9pj8ULE/kP0HEpa8+jNrJIobsLDp05+3oTBzaK4sCYDdu84+IdVBH+E73Oyx8naexf96sqdk89ruzicZL7nrVsWSK/GhoquwujsOI/E05VuuWxRSIzncIdZ9yo7Da+fkgiVw+5Sjcwyny+K+9Pidw9+wFl98iEyxI5XLpA6XpRH8efL2un7jNLld2qoyQY8raPByby19DvB471san1V+OuRL6OyhasbmiYt7miwVStUszejwqzd8zUcWthgjzbfg/LfBt74R+UXe2npCLDr0381ZPXUuwiM3R/peNJ+Z7VegA0hQtTQ9h5eRLNy7ek7+V7/0/ZbcgQ/oCq5b5QujejxBXxGpt979nKLhwr7Q9oc4duA0KV8eZ8maPINDF9BfL+jDVNzGBFiZvcek01setqntF66QfTGHz2WR1tV0vWRPuo5wrHaq0JPy/hmKjMCFy5l1sd/J33EEJoC+BuAGUBPBhjvN3oQ0p/DoAvAfSMMS7anXP3FnwnyuFwOBwORzEoeXdeCKEsgHsBnIXCVLG3QgjPxhjfJbN2AOqn/msKYCyAprt57l6BB5Y7HA6Hw+H4seEUACtjjKtjjF+jsOJlB2PTAcA/YiHmAcgIIRyxm+fuFZRud16DnIgHUlv2E4ySU5/thmEuyVzc1xaVJQ9W7bdkK3wXZnMuFKmzfnX7vK1dYOw4i32gVrVaIWnArzUkngDteVH9nX1Pk0Q+/dGF2o7Hw/aD62YyG7Rl3m5Jcq7RZZPMtVLt+DKzeXGM5QUkNzN2+SRzBvNUY/cg/SvqGkNDwecxvYRlRWYmY9Pf8iOJ5TmXWJ5tEVh6fPUHUYHgpYYJOZdk2wZ7cXk8LHM8PzPLwkzztO5scWdl4QNlVhFfJ/KLF4pLaehTf1J2w08XV/Ww2YOVblhXoh/hOWWZ2Om40Z1vKdWSCym1nNfKUN1EmRni9qlXSz/AFUNojHkujtZtXPaO0FA8cPpVojhO26Vl1Qc0UzZTpXQ0dryGLcM4v8MKSLbvM37nsBvNtjcjTXuAWs+1r6d33UnmXcdFmC3lQx7JTGeSb+y4X3z/tkIAXavSgE1KtXWquM74uuWHapfg9pG0Fu37klja1XPJNXb8nO37h9/9/FxslQy247VoqFja9xfqhulBu5lx7DDqU0lTHBwZgT57udVhxd5DCKETgLYxxt6p4+4AmsYYB5DNdAC3xxjnpI5nAhiMwmCJYs/dW3B3nsPhcDgcjmLw6cvAsBrfbfe9UCmEwIGLD8QYOcgx2BNQ6FfEbtjszrl7Bf4R5XA4HA6HIy1ijG2/22qvYw2gCtVmAvhkN20q7Ma5ewUeE+VwOBwOh+PHhrcA1A8hHBNCqIBCB+yzxuZZAP8XCtEMwOYY46e7ee5eQeneidoCiQOx/vQMkq2OY0W4srmNIaC4l2OxKpF3NNbDtn46lbywZSg47mceydYTTCnyqKJjdvJ2UNV2bs/GZFCcx0nb8qhtY8f9yEZ6cNyPjWfi2AvbD+4jbwDbuKr3kB4cm8Tn2fFlcLzCDKObR2NqZz33PzvN74CeRxlatX2eqXb/LWysF823FR9LiZldSgnx2Nix537weNg2OHYo1+jovJPwdiK/vuMMZXZpWSlN8yIkJorLelgcD5MAw7FE+STP02Y8T5d8mK11PI9sbBKhQa3libzswxPTG+aRbOZUA0gbKgaotrZTcUV2LvMzK65k1No0MqDvmcaqTBed7r8zr7IccH81w8OucVAMmutrl1IcVIax4/m8xuj4uJj7KpMl/d+5JE3fAbUWt75XTevSvBNOrP4fZbaogAK3TDkt9R7YkOZ3q7PvUi41xffZ22SyjTFxmN8iWx+qkjPHXqiVK4cV3cYBihjjNyGEAQBeRiFNwUMxxqUhhL4p/TgAL6CQ3mAlCikOLi3u3H3Rz9L9EeVwOBwOh+OARIzxBQAvmN/GkRwB9N/dc/cF3J3ncDgcDofDsQco3RQHIawH8CEKN75tEvfBDB8PgY+Fho+Hho+HwMdC48c8HnVijDW/28yxr1GqP6K+RQhhQUlyZvzY4eMh8LHQ8PHQ8PEQ+Fho+Hg4dgfuznM4HA6Hw+HYA/hHlMPhcDgcDsce4ED5iHrgu00OKvh4CHwsNHw8NHw8BD4WGj4eju/EARET5XA4HA6Hw1HSOFB2ohwOh8PhcDhKFKX6IyqE0DaEsDyEsDKEcN3+7k9JI4RwdAjh9RDCshDC0hDCVanfq4UQXg0hrEj9/6f7u68lhRBC2RDC26nq3gf7WGSEEJ4OIbyXmiOnHuTjcXVqnSwJIUwOIVQ6mMYjhPBQCOGzEMIS+i3t/YcQhqTerctDCG32T6/3DdKMxZ2ptfKfEMIzIYQM0h2wY+H4YSi1H1EhhLIA7gXQDsDxALqGEI7fv70qcXwDYFCMsSEKi570T43BdQBmxhjrA5iZOj5YcBWAZXR8MI/F3QBeijEeB6AxCsfloByPEMJRAK4EkBNjbITCUhBdcHCNxwQAtpBskfefeo90AXBC6pz7Uu/cAwUTsOtYvAqgUYzxFwDeBzAEOCjGwvEDUGo/ogCcAmBljHF1jPFrAI8D6LCf+1SiiDF+GmNclJI/R+EfyaNQOA4TU2YTAXTcLx0sYYQQMgGcC+BB+vlgHYufAPg1gPEAEGP8OsZYgIN0PFIoB+CQEEI5AIeisKr7QTMeMcZ/Adhkfk53/x0APB5j3BZj/ACFtclOKYl+lgSKGosY4ysxxm+rA86DVPM7oMfC8cNQmj+ijgLwER2vSf12UCKEkAXgJADzAdRKVbJG6v+H78eulSRGA/gjgJ3028E6FnUBrAfwcMq9+WAIoTIO0vGIMX4MYCSA/wL4FIXV3l/BQToehHT3f7C/X38H4MWUfLCPhaMYlOaPqFDEbwdlqmEIoQqAKQAGxhj/t7/7sz8QQmgP4LMY48L93ZcfCcoBOBnA2BjjSQC+wIHtqioWqVifDgCOAXAkgMohhG77t1c/ahy079cQwvUoDJV49NufijA7KMbC8d0ozR9RawAcTceZKNyeP6gQQiiPwg+oR2OM/0z9vC6EcERKfwSAz/ZX/0oQpwH4TQghH4Wu3VYhhEk4OMcCKFwfa2KM81PHT6Pwo+pgHY8zAXwQY1wfY9wO4J8AfoWDdzy+Rbr7PyjfryGEHgDaA7gkCv/PQTkWjt1Daf6IegtA/RDCMSGECigM/Ht2P/epRBFCCCiMeVkWY/wrqZ4F0CMl9wAwraT7VtKIMQ6JMWbGGLNQOBdeizF2w0E4FgAQY1wL4KMQQoPUT60BvIuDdDxQ6MZrFkI4NLVuWqMwhvBgHY9vke7+nwXQJYRQMYRwDID6AN7cD/0rMYQQ2gIYDOA3McYvSXXQjYVj91GqyTZDCOegMA6mLICHYoy37N8elSxCCM0BzAbwDiQO6E8ojIt6EsDPUPjH48IYow0oPWARQmgJ4JoYY/sQQnUcpGMRQshGYZB9BQCrAVyKwn84HazjcROAzih01bwNoDeAKjhIxiOEMBlASwA1AKwDcCOAqUhz/ym31u9QOF4DY4wv7tpq6USasRgCoCKAjSmzeTHGvin7A3YsHD8MpfojyuFwOBwOh2N/oTS78xwOh8PhcDj2G/wjyuFwOBwOh2MP4B9RDofD4XA4HHsA/4hyOBwOh8Ph2AP4R5TD4XA4HA7HHsA/ohyOEkQIYYs57hlCGLMH7eSEEP6WkluGEH61G+cUeS3+PYQwLITwcQghL4SwIoTwz+IKe4cQRocQfv19+783kOr3kd/znKwQwpKUfGIIYcI+6ZzD4Tgo4B9RDkcpRIxxQYzxytRhSxSyb+8t3BVjzI4x1gfwBIDXQgg1rVEIoRqAZqliriWKEEJZAD1RWMJljxBjfAdAZgjhZ3urXw6H4+CCf0Q5HD8ShBDqhBBmhhD+k/r/z1K/XxhCWBJCWBxC+Ffqt5YhhOmpwtN9AVyd2j06PYRwXghhfqrw8IwQQq097VOM8QkArwC4uAh1JwAvUf/zQwg1UnJOCCE3JQ8LITwUQsgNIawOIVyZ+r1yCOH51H0tCSF0Tv3eOtX3d1LnVaT2/xxCmAOgK4AcAI+m7vuQEEKTEMKsEMLCEMLLVM6kSeoacwH0N/fwHAoZ7h0Oh+N7wz+iHI6SxSGpP/p5IYQ8AH8h3RgA/4gx/gKFxU//lvr9zwDaxBgbA/gNNxZjzAcwDrJ7NBvAHBTuEJ2EwjqCf/yBfV4E4Lgifj8NwO4WfD4OQBsApwC4MVXzsS2AT2KMjWOMjQC8FEKoBGACgM4xxhNRWEi5H7WzNcbYPMY4CcACFNY4y0Yhk/Q9ADrFGJsAeAjAtxUMHgZwZYzx1CL6tQDA6bt5Dw6Hw6HgH1EOR8niq9THTnbqj/+fSXcqgMdS8iMAmqfkNwBMCCH8HoUljr4LmQBeDiG8A+BaACf8wD4XVcUeAI4AsH4323g+xrgtxrgBhUVua6GwXNGZIYQRIYTTY4ybATRAYaHg91PnTQTAMVdPpGm/AYBGAF5NfZwORaGrriqAjBjjrJTdI+a8z/ADXIIOh+Pghn9EORw/XkQASNXvGorCSvJ5qXqAxeEeAGNSOzl9AFT6gf04CYXFei2+Mm1/A3mn2GtuI3kHgHKpD6UmKPyYui2E8Gek/2D7Fl+k+T0AWEofqCfGGM9O/V5cbatKqftwOByO7w3/iHI4fjz4NyQ+5xIUuuUQQqgXY5wfY/wzgA0o/JhifA7gMDquCuDjlNzjh3QohHABgLMBTC5CvQzAsXScj8KPIgC4YDfaPhLAlynX3EgAJwN4D0BWCOHbdrsDmJWmCb7v5QBqhhBOTbVdPoRwQoyxAMDmVLFuoHBcGT8HsOS7+upwOBxFwT+iHI4fD64EcGkI4T8o/Hi4KvX7nakg6yUA/gVgsTnvOQDnfxtYDmAYgKdCCLNR+NH1ffFtkPoKAN0AtIoxFuW2ex6FmYHf4iYAd6euu2M3rnMigDdT7rfrAQyPMW4FcGmq/+8A2InCmK+iMAHAuNT5ZVEY6D4ihLAYQB4kY/FSAPemAsvtrtMZqftwOByO740QY3E73Q6Hw5EeqUy59qkdn1KFVNbfLADNY4zf7O/+OByO0gf/iHI4HHuMEEJTFAbL/2d/9+X7IoRQH8BRMcbc/d0Xh8NROuEfUQ6Hw+FwOBx7AI+JcjgcDofD4dgD+EeUw+FwOBwOxx7AP6IcDofD4XA49gD+EeVwOBwOh8OxB/CPKIfD4XA4HI49gH9EORwOh8PhcOwB/j9tjgx5gaVeuQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "im = ax.imshow(D, cmap=plt.get_cmap('jet'))\n",
    "plt.colorbar(im, shrink = 0.8, label='Hamming distance')\n",
    "\n",
    "ax.set_xlabel('Hosital ID (unsorted)')\n",
    "ax.set_ylabel('Hosital ID (unsorted)')\n",
    "\n",
    "plt.savefig('output/hamming_not_sorted.jpg', dpi=300)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "904f407e",
   "metadata": {},
   "source": [
    "Seriate (sort) distance matrix. Seriation moves similar valued points together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de0a8c7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "order = seriate(D)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "218314b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_D = np.zeros_like(D)\n",
    "\n",
    "for i,o in enumerate(order):\n",
    "    \n",
    "    for j,o2 in enumerate(order):\n",
    "        \n",
    "        new_D[i,j] = D[o,o2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b2d0a11c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "im = ax.imshow(new_D, cmap=plt.get_cmap('jet'))\n",
    "plt.colorbar(im, shrink = 0.8, label='Hamming distance')\n",
    "\n",
    "ax.set_xlabel('Hosital ID (sorted)')\n",
    "ax.set_ylabel('Hosital ID (sorted)')\n",
    "\n",
    "plt.savefig('output/hamming_seriated.jpg', dpi=300)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5663adc0",
   "metadata": {},
   "source": [
    "## Use 'contentious' patients to determine hospital distance\n",
    "\n",
    "We define 'contentious' patients as those patients with a low level of agreement between hospitals.\n",
    "\n",
    "For each patient, calculate the percentage of hospitals that agree on the decision to thrombolyse or not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "548051e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "results['sum'] = results.sum(axis=1)\n",
    "\n",
    "results['percent'] = results['sum']/len(hospitals)\n",
    "\n",
    "results['percent_agree'] = [max(p, 1-p) for p in results['percent']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f006eddc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WJHSV5358P</th>\n",
       "      <th>TPFFP4410O</th>\n",
       "      <th>YQMZV4284N</th>\n",
       "      <th>SJVFI6669M</th>\n",
       "      <th>ISIZF6614O</th>\n",
       "      <th>OKVRY7006H</th>\n",
       "      <th>QOAPO4699N</th>\n",
       "      <th>OFKDF3720W</th>\n",
       "      <th>NTPQZ0829K</th>\n",
       "      <th>HBFCN1575G</th>\n",
       "      <th>...</th>\n",
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       "      <th>EQZZZ5658G</th>\n",
       "      <th>UIWEN7236N</th>\n",
       "      <th>sum</th>\n",
       "      <th>percent</th>\n",
       "      <th>percent_agree</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.348485</td>\n",
       "      <td>0.651515</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.462121</td>\n",
       "      <td>0.537879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.969697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.992424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.954545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.424242</td>\n",
       "      <td>0.575758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 135 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     WJHSV5358P TPFFP4410O YQMZV4284N SJVFI6669M ISIZF6614O OKVRY7006H  \\\n",
       "0             0          0          0          0          0          0   \n",
       "1             0          1          1          0          0          0   \n",
       "2             0          0          0          0          0          0   \n",
       "3             0          0          1          1          1          0   \n",
       "4             0          0          0          0          0          0   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "9995          0          0          0          0          0          0   \n",
       "9996          0          0          0          0          0          0   \n",
       "9997          0          1          1          0          1          0   \n",
       "9998          0          0          0          0          0          0   \n",
       "9999          0          0          0          0          0          0   \n",
       "\n",
       "     QOAPO4699N OFKDF3720W NTPQZ0829K HBFCN1575G  ... PDNWI2057P HYNBH3271L  \\\n",
       "0             0          0          0          0  ...          0          0   \n",
       "1             1          0          1          1  ...          1          0   \n",
       "2             0          0          0          0  ...          0          0   \n",
       "3             1          1          1          1  ...          1          1   \n",
       "4             0          0          0          0  ...          0          0   \n",
       "...         ...        ...        ...        ...  ...        ...        ...   \n",
       "9995          0          0          0          0  ...          0          0   \n",
       "9996          0          0          0          0  ...          0          0   \n",
       "9997          1          1          1          1  ...          1          0   \n",
       "9998          0          0          0          0  ...          0          0   \n",
       "9999          0          0          0          0  ...          0          0   \n",
       "\n",
       "     TFSJP6914B AKCGO9726K LFPMM4706C EQZZZ5658G UIWEN7236N   sum   percent  \\\n",
       "0             0          0          0          0          0   0.0  0.000000   \n",
       "1             0          1          0          1          0  46.0  0.348485   \n",
       "2             0          0          0          0          0   0.0  0.000000   \n",
       "3             0          1          0          0          0  61.0  0.462121   \n",
       "4             0          0          0          0          0   4.0  0.030303   \n",
       "...         ...        ...        ...        ...        ...   ...       ...   \n",
       "9995          0          0          0          0          0   1.0  0.007576   \n",
       "9996          0          0          0          0          0   6.0  0.045455   \n",
       "9997          0          0          0          1          1  56.0  0.424242   \n",
       "9998          0          0          0          0          0   0.0  0.000000   \n",
       "9999          0          0          0          0          0   0.0  0.000000   \n",
       "\n",
       "     percent_agree  \n",
       "0         1.000000  \n",
       "1         0.651515  \n",
       "2         1.000000  \n",
       "3         0.537879  \n",
       "4         0.969697  \n",
       "...            ...  \n",
       "9995      0.992424  \n",
       "9996      0.954545  \n",
       "9997      0.575758  \n",
       "9998      1.000000  \n",
       "9999      1.000000  \n",
       "\n",
       "[10000 rows x 135 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84511c56",
   "metadata": {},
   "source": [
    "Extract cohort patients that only 30-70% of hospitals would thrombolyse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "901124f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "contentious = results[results['percent_agree']<=0.7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "14317f6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "contentious = contentious.drop(['sum', 'percent', 'percent_agree'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86fb5ef8",
   "metadata": {},
   "source": [
    "Show number of contentious patients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0b4c90de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of contentious patients: 1410\n"
     ]
    }
   ],
   "source": [
    "number_contentious  = contentious.shape[0]\n",
    "print (f'Number of contentious patients: {number_contentious}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61351919",
   "metadata": {},
   "source": [
    "### Re-calculate hamming distance based on contentious patients "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8653a323",
   "metadata": {},
   "outputs": [],
   "source": [
    "D = np.ones((contentious.shape[1],contentious.shape[1]))\n",
    "\n",
    "for i,h1 in enumerate(contentious.columns):\n",
    "    \n",
    "    for j,h2 in enumerate(contentious.columns):\n",
    "        \n",
    "        D[i,j] = hamming(contentious[h1], contentious[h2])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e088f14",
   "metadata": {},
   "source": [
    "#### Seriate "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fbbd0ef9",
   "metadata": {},
   "outputs": [],
   "source": [
    "order = seriate(D)\n",
    "\n",
    "new_D = np.zeros_like(D)\n",
    "\n",
    "for i,o in enumerate(order):\n",
    "    \n",
    "    for j,o2 in enumerate(order):\n",
    "        \n",
    "        new_D[i,j] = D[o,o2]      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "41134eed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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z+V2kDtOlsZz3Sil/A2bd+JcjHfkdoPQaU1ncDqVNOfJXXbWZHuRxrlt18/tMdyFgKpajKtVVmyUSRdQmn6d9z3OTf1dpOf498BhtXA1MnZtzCbcOcBrO4XA4HA6HoxB1vbLkcDgcDodjduE0nK8sORwOh8PhcBSirj8WGzGS8fccUg/Y3aw19HpDKWkU/qwjhXiyRgkATjT8ryy9NP6z3HawXkVDg58mPcFYgc6HtQaqf2CenPlz1TatIs3DGWrTe/EZU441XK8/9KTJe6mnPUvfQfoP7UPuX9WEPYQ3Z2nWJal2ih2ctx+3Dr01cvs+f5Btck0xNK44kQ6OpMxBaW8X7Vq+9znrDr1kbdIuqHaIoTolxtH+pI9Z0Ji0C2dGbd8cH0rOxs9Xabf7I8GU2397/q7w3Ebup0qzbd+B00njoDoidljuqyWtCGvAAGBBc7qXDXg2S6t2o6k56VJYawMAA6QVYv3K47TDOmA1JT+C/23yPoUPZGnWvLwPf2bKvfvEF7L0y+12sPxPfChLL8yxiwBseDzbJajTN2tsVB/FFiIP0A4CA2KrsH3wDVl6S5sNWWfwXFE91wA9S+7f8qgdQ01jxyjP1m/N9c9nqVrDOVOu/XSytT9Nlh4AcKCcxttmGgNNNatZev3z6Z2zd32+Ff5R6lN91/F7lu0jinRaursCl+X3qoJtY3QMsI6I6yvSsJ1CS5Y+KlYMfF9aB+vn5hquWarzjyWHw+FwOByzC/9YchrO4XA4HA6HoxB1vbJUQymjh5TiyQuBB+ymuLzEyvYAgKXejoQ/ztLV6s+acu9uS8vAGt7JS+Q3Uyhs0ZKqUoocHs7LyhpCzMvMvNSrm432jqZyUWgtptv4XtTxmZeL1bbh4dG7MR0q5ao55vNKDWMmr5U2zz3xDNFwthhGnky0oWE2x+yNPdeQNqZFo11KP/YSLYUP0HlyrWNfT5vxHtsozvcjiUYbqab2jnTaYmg8h+mw4na7OaqxS9BNgQ8uwnQYqlTsD8bS9D66tmqyDu5ZP20daLG7B9eaUx28ee7R05Y+GCMe50CbnQM8TtlygOcDYOcih8MDlq4o0YNheg4ATrWnflsoIetMHTLlp07cHA7Oc4rpZcCOX52LTOXxdXUedRCV1S1WCm9DcjRnikfvaxfRmb2nX8jSjYOw4P2thYabP/3e15ivBvx0XnP7eZN1w/r0HuQw+kWH7JiPxET2jFp6jbH+xYNZ+pvrrzd5TMU+S89B+4Z/DyhF130idVCpPdGcTaO2juFymn8leSnwc+d7VjsKpuE+g/dk6VsK3MJ1PDyIe3EpUdcfCxcBvrLkcDgcDofDUYCr/WPR4XA4HA5HAVyzVOcfS2fQOGW5fhK8lH5UIlV4s9DP4fuytDpzM5h6G6n8d5P3J32/lKV/cLWNzmEKbR8SFcRUIGCX6nWTUqbs2AlWNyzNi8xQt97FDSnvUHvF5DG1YDeQrJpyGlnC2Fm+JUvzMrVGDPG9VNsqkpeWuzu+O/nyHh21dXSV01K1bvrJ4E001cmX721sef4mokw9ajQYt5fP037jaCWmVKdsolpOm6gOlxeavOMdids7K5vnMriN6j59aMMeLQ7AbpAMWNqII4E2NSvtlJ6L3jOPezsuLd3BY+VG2SB3J9KY4ugnpV04aqpDNlXl585jTzdf5XcKPyPtG65Dnx9HG/I82t5v5/2W7vQu+uzg95u83W0p6u0NtLEy161tLFP0YkuzHaN59w/YZ8F56vDPLt1FEWrs7t210koOeK7wvahz9pn17Mxt33V5/auRjVyOxyEArGxPY/s5coLX3wPcv0U7GXD718j7kaUgaymyUWUb7Eiv73cdz3MJ91lyGs7hcDgcDoejEFf7x6LD4XA4HI4COA3nK0sOh8PhcDgchajrlaUzaMr0PVNCckmjovoS5tY5vWVKGGfSirA9AGuUAAC9H8uSfdGGzTPHz5xz0c7h6ia7ICeUWTl41hAw360aqGqpgjw8TmWfo/rVzoChugbWpbDeSh1pmeNXfRBrcdh+oVxWV9ukFeHnrLoOho4Hbm+RXkO1OAzWYbBerugcDi/Xcjx+y7Ib+2Iqy7YQqk2zrsG2DtYfsUv1YmkHh2izyzzrLgA7//Q5sz6Pn3kPDptyPAYG5Pmx+729ltW58JxQPQjrqvg5j8lzrubMWQ0b5/k2JP3LGiAOAT/Ube1J+Pn1tNn+YCuFM6TF0fcDt4PfN9qHTQWu5TweuG+0HPfNc/L+4Xcpjxt9DjwWub2qHeP7VPuThpw2qg6O76Vf3LLzbFJG5V2krt2MPL2U6tv4dwk/S7bSAOzY1uen7625hGuWfGXJ4XA4HA6HoxBX+8eiw+FwOByOArhmqc4/lsoYwTUTTqkaqslLvboJLFNZvOGlUmO8rMzLtGoPwNTbN8KXTV4jWQ7wMvt9+KIpx8uvaofAVMNjuC1L67Is0218/1sp7Biw4da7YTeVNSG01E/8c8D2lW7sydQYO9kq1cRUm9oKcHg4972GyjPlo7QZg/tjath/Wqpn+qsm04PHkS7pc6g7L+OzkzpgbSzYpoE3qQUslVcuCBnmtmvfcDt0DvCzKArnZxqKx56GjfNz0Hl0Lx7M0jxG98mYGqX2s1UAYDeS5TBypYIsFWtDr5lK5rmtIdl5c1FpIt4slmkWwD4/ng8aAs/tvRv23cG0Ds8xdf/nOv8a75q2bsCOFZ2L2lfTtUHPK6J2865bdC19DnxtvRbPHX5P6buOn4vO2TwrBW0f04FqmWKtVtK11glNzXUyvaYUJb9nbxD7jEsJp+GchnM4HA6Hw+EoxNX+sehwOBwOh6MATsP5ypLD4XA4HA5HIep6ZWkezmfh0kXbcYwWbAmxB9dkaeXFnya9AvPMqg3h8FfWKAF2a5SvkOXA21d/zpTjkOe7RLvAugnWU+hu6WdzNCq6A/Z7ap9J1y19w+Txzuqsu1DtAveH9v0juIOunbQ4U7YzoDpZQ6Lg+y/Sn7FmQjVQHL6todesAeHxUKRZUuRZFeg5rJv4ykt3Zemm5VYrlLf9BGCfBWusVFNTtD0L57GGTfUa3Pd8XbWjeDO+lKWPijaEr839wbvFA1bbpBqu+/HOLM3jci32mXKsXdQtSPg8nkfav3zPPMf0/cDvAR0rrfQsBmi86TjhY9WBXUPzlnVgapPyOG7O0qx70jnLY0rHg5adRJFGsCiUfY88W8ZmPJ6l+R2gz6FqbBDsuOR74X7TPuR3v44pHuvcXr1nfsfou5TBGryivvlage50IdlTaH/oc59LuGbJ79/hcDgcDkcBnIZzGs7hcDgcDoejEHW9slTC+WwZU2kcXkpXmijPVVlD9tnZ92ZaOlbnbA55VRdept7Y6ftT8QOmHC+57xRX17wQWqUxOLx4bU6oNQCsLeXves3H3URPFdFkuoTPy8XWwmFxbh36TJiy42X7Blma5vO4Hbpkzf2h1Bhfi12wtVwRrZW37K52BlxHeXm+0zeHQCt9yf3I9KIu2zN1o/fCz4XH3pkcOgawTtzXCKVRRIUwbsGO3PaqDQBD3cknoffFY0Dr43bxeUqv8bM8TM9LxzlTb+ruze8Srl+fJVPnSh0/NZrquK2cbA/U2ZktHZgCVZf1IvsMpZ7ykEcBK3iMKrXLfdBpHNLteOD26jPidzCPXy33ZdyV20Z2XV9I40v7gusssn5gPIR7cq+bN5YBO/8upWO3wleWfGXJ4XA4HA6HoxB1vbLkcDgcDodj9nG1fyzU9f2fQmu2zKp0ElNISsl8H1IkGi+DK2XSiqEszRFTTEcAlu5QZ26OemPq7elgo+Fejv8MebiZnILZ1VVdg9VddhJKrXD7lT7g6BzrcGvLcZ/eiUdN3n6K/mGHcF2O58iSdRLVxLQURzwdFaqCo3OYWlEnaqZUlfLqJDqhd7QvSw+X8zcRVTplcS3VOVZK12o/OmLK8WlPrExjQJ/RrfufSAd2X0+L0ykZxRj5VFtaON9XspQUPwueOzoHeANTHnu6sTJHx2n06ZeIkuDz3oX7TblvE42sm+zyWOQ2KVXB7ddnxBQo5y0T2pBpF6Y59R3Dm6BuIXoRsJF4PG40ao7nwPZR+14ZHUn9eLycnpdS4nzPHNX12OnbTLmxsVTu7IgdVJXOapYulVJfqyv3qdHUN2vLds6Wc+bioVHbXj7v4dG0+8GGso00+/ZgGg+tbUMmr1ZL9/Jg6d4s/Xm83ZR7YefGdCC/7eYtTZPnPPX10tX5UWdHXrL3cv3y6V22D4zasbKANgC/E49k6ZeFRi6ai50FtOdsIwCYf7G/FsYuXORygtNwDofD4XA4HAWo65Ulh8PhcDgcs4sQgAZfWXI4HA6Hw+Fw5KGuV5bmoZZpFjQc04aUW23PX+LdWZr5f9VaqL5gEqqTyHPYBvJDXFWjdCT8cZZeEd9n8pjHZpsC3dE+LzSYtVeA1R9pKH6eI7bqfDjM+RP4KZPHuiLm3bXfuL3qtswanl7SYaheg++lKJRb75PB7VpYTlonPYf1Bfqcq6WUx2Oxqctqp1hjxWHerNcBgIE1SaOi45D7lPuwKPxbw815TvD40t3S+TlzaPdn8B5TjsPXVS/GDuFc335xUud+0xDw/ViTpXlc6rhhzd09sgP9g0jaliLrAO4PbnsftQGwz0FtR/g5sz5MxyWH4m8t2/bmadWK3jGcd7bZjgce56NttnLuU2679k2pnNqv79y899Sm8lOmHL9jNpWfztKq0VnblsZiv7jCl0tnc/LsO2blLX+fWz/3Fb9X1MKA59XW5dslL/Uj13egbDVLbFvBffMcuX4DxdYd7NQ+1wgBmF+6cLkrGb6y5HA4HA6Hw1GAul5ZcjgcDofDMbuYFc1SnaGub3/cwXucYjpQs8uew6VEM+gGozb8Pi17qvMwL0dzyLNuIsobs+pyPG+Kq87cDKbeDoY/te2IP5ClmboZk2VlphaYjtCldF36zatjM1kW6NJ0BS9nabZpAKyVwpkc93HA9jf3NWCXtNnNWpfjmVpgx2alZ5gyUAsDplrW1Pqy9GjJUhXcN0opcih6eTTdS2nsvClXa0iLuf3lfLflLTUbis5oHTyXpdke4FAp32V9nzxzfmZMT6hLNT93pTHyymnfMMWj44jBY0opZqb2uK+nbkybnu3v4KcL2pvopDViuTFK1ArXp1R0EcXMlD6P84VCUTLUmoDHLD8/fcdwe3eeviVdq9nSZNXjlSxdbrSWAKUGes5kMcA/B2wIPIfvA9Zy4Hi/+FgQNnWn9wPTskX1KX3Jfco09RS6jt4rh47LLg8tqR/ZpmFNW58px9YH+8rWgoPHJT9zdY/n5/cu/HWW1nc4U9P8ewqYaoUxl5gV64A6g9NwDofD4XA4HAW4yr8VHQ6Hw+FwFCIABQvLVwV8ZcnhcDgcDoejAHW9stSGara9SF+p1+SxbqZo53fm/1UzwDoEDh/tEo0O622UV+b6WQ/CW5jotVmjBADPh7/I0p0xbQ+wWerga7NWSHdmvwsP5+axRoPvS/uG69dQ5mcp1J81Cd2iI2L9ioabczsOYVmWLtruxIZoW60FP0u9Z87rKSUtxKjEbrPmqhf7TZ6pk06rlKumHPcbh3yrJoP1R5pXa0/TlvVA2l7uN9WLsZaD54fq9ng3dr6WWh3w/ND5xnOgSNvE2zloe9UyIq8c6560HTyG34PP5NbNY9FqY2x9rEPRcakatEmoXpDD6O+meQnYEHNuu25BwrqXcjPp5WQODHckHaeGqBtbgXL+FlB8rJo+1pkd705asg7ZpoM1pAM0Z7tL9r1atM0Rb+vC4O1jxq+drnW2I99ao1ROfaV6x6PldG3V9DHsuLHb9exE0pLxe6osWs0bSaekc/ER3JF77VlHQJ1/Lbx2XOW373A4HA6HoxD+seQ0nMPhcDgcDkcR6vpbsYaGjP7gZXXAhpCqAzLvMs7Lz7pszZYAvNyv5XgpnZ2MAUtRcR0aFsrLxUcl/JWpt2+EZEXQH99ryvESNNevVAW7NxeFg/MysC4Jc527caPJY5qA719D9plCe1SWmJnGYJpBnyU/C6b8mI7R9ms7mL4aLrA64L4qoiU5PFxDiJl2OEz0j4YQHzbO8pbuyKMUlQJm6kJpTp4DTAU8gjtNOaZOOTRaaRxuo44VpovZduNxseBgWkvd05kq4/7dgGdNOb4XpuIBO+6ZDlMncb43fs69YjGwoMDh/gxdawdZhmjf8LjfKo7jTDUxzakUH/cp5yk9zn2jdh/8bFtofOl847E3dQ6ke+a+Uvqd+4rT+l7New6A7Ue+T92FgR22dQ5wHTzvtR08jzqFUuR3BNenNCGPRe7DDrG1YWd8tVPJ21FizlDXXwuvHb6y5HA4HA6Hw1GAq/xb0eFwOBwORyHcOqC+P5aqqOCv8S4AU5csmcoqorw44kLBy6q8jKo0Dkc1aYTPDfh2luYoMd3clyNJlJJhGoOptxfCp22DKY/vcTu2mmJMLy6UzTC5HRzFpMvF1i3c9sc7yaGWy2kEGVMtGvG1Fd/I0kURX0xP8HK/0iI2kq3P5PGyO7dRI1X4XvQZsdsyjwF1FNZIvEkolanUBYPbz/Wflb5pyKEoAUsP8hzQaCIeOzxmb5Q5xfelG37yvfBY1mfEVFufUGMcocTPUssxlcdjCLB0Cs/FW7DTlONIJqZndA4wJaOu2hwtyPep1CDvDKC02W6qo2jjX+tin+5/Kt2c5spi6XveJJrHfVHkqM5FfhZWfmDd2KtYnKV53qsbu44PBtPZ3Eal4Xhe6juX5wS/R5Ty42vpM+IxVTR++V743XFYIjF5bms7NApyTuECb6fhHA6Hw+FwOIow5x9LIYSVIYQvhxCeDiF8J4Tw4Ymft4cQ/j6EsHfi/8UXqsvhcDgcDscsY3Jl6WL+qzNcipWlMQD/JsZ4LYBbAfx0CGETgI8A+FKMcT2AL00cOxwOh8PhcFxSzPn3XYzxMDAuCogxngohPA1gOYB3ALhrotgfAXgYwM8X1TUf57IQ6CbR3nCYt+oJ2GaA+X8No19FWo4iLpm1TbskHJp1JKxBUN0Mt0N1AhyibDQlYh3AGqbh+BNZWkNmB0gbcHzU6hpWlhMnvyxnZ28AuBcPZmkOjQZs2D63V8OmWQ+iuhE+b+kzg1n69Br7fd90+nyWHmhP2oglR4dMuRNdjVm6/dCIyTvZPT9LL9pxLmU0m2IYWZPSjadtHk5QepDSYjx9sidda6CU+l4d3Vkb0VqzOjhGfylpJlTLwro91fRp2UnoWGENyBCdwy7wALAH12RpdS9m8BhQZ+cumlc6VlizxHqjAdHl8LVVP8hzjudUp2iRuG9YE3YPHkIeVF/DmiAO518o/cu6Gb0XtiEpCoE/cDr121DfkpShb3ce9o2Sx49iDPlgWZGWo/pfWJq0U/Ma7dhb0Jj6vrstWRgc6Lfv1aaWdJ+jI1YfVWpIF9/QluwjtG92n07vXK2D699UTlqyp0bt74vBHUuz9LdWnDN5fG893WnM6nPmZ8vjUucla850DtyHB7K0VePNEa5ygfcl1SyFEHoB3AxgO4DuiQ+pyQ+qroJTHQ6Hw+FwOOYEl4w5DCG0APhLAP8qxngyhDDT8z4I4IMA0LyqffYa6HA4HA6Hw6PhcIluP4QwH+MfSn8aY/yriR/3hxCWxRgPhxCWAWIxO4EY4ycBfBIAlmxZFSfDXIvCTNXxlsN3P4fvy9IaasyOtBz+qtfiEF2lN5hSy9tcE7BLsxpCy062bIOgocxMvR0Lv5+l5x35d6YcL4P3tFnK5MmX0rL1vcsT1aZuy0wfqCVAKxIFxn29TzYRZRdhDbE3LrpEazXvP2/KMRWw5EWi3mRkn+2iJfhRS8MZ6o2pBbsKjkbOa7N5eJHSStHxtcrpWge60nNVCubWo09M3yat/3Vkl1CqmmJMc6njNlOgHJL8slDAq4gOvJaepTpAW6dvS3cobT2JR8UtnG02tH6eR0Wb4HLItjoxcxv3G/sMobWovUw/6zPiEHgd25vwNLUjPcBnxdmZnZ61vfwuOfadVSnDspfAOhrPffRzHTcV5INZ65HcUjZvheQtpXk0lOjm8wPzTbGRCrnktyT5xPkxy/MMHUyU4ooNe00eh9/n2XEAwNBAypvfYqUag08meu0fG1J6yq8Scj5oW2rfuYN96bwF3YlS098DTPXyO1E3pObfLbpRur7v5xT+sXRJouECgN8D8HSM8dcp63MAfnQi/aMA/mau2+ZwOBwOh8OhuBTfircD+BEAu0MIuyZ+9osAPg7gz0MIP4nxv9N/4BK0zeFwOBwOh+IqF3hfimi4r2J8UW86vPmV1HUWC7Jld41C248UurRGaKKHcE+W5uVSjugBgPfScj9vLqmRd3xt3QyTo7p4GV9pEaauiqg8zlNnbo4EYert/NJfM+VqAz+XpZ9/4jqTxyPi/uXvym0TU4UadcRRHLxRqEYAcvShRiQZR29e+leKgCPWRnN+DmDp0cHpywEwrBE3Q+owEUQFVJt5qZQlj26rd7QvSx8qWzrpWFda+289bSP7GomtWdSfqI+T1qQbh0rLsrQ+P47W4rHdJfQXj1Meh+pkzNSb0iJ8zFSY0rd9NGc1MpWj4TiqVGm4P8UPZ+k1Mt54/PF564QeH5a5OQml3zny7hCWmTym5rntuptA3qbegKUpjw0lGm7Jd79oynH06d6+m1JGQbTajN/8Ot/4WOnAjUS39dHPh6RcS3r9n9i1nH4u5YjmO7hnvclaveGZLM3vPY2Ga1+RxvPZEevufY77h+e2toPKlRosVXrthm+lPKJRDxwX6pkYXEuB22i4rgLn/ueE6nXMLa5yFtLhcDgcDkchXLN0td++w+FwOByOQvjHku8N53A4HA6Hw1GEuv5WXICzmXZC9QQvm52orXCEtQEcxqk6CeaWWV+yuMFeq1pK19Iw5PfUku5pbSlpI1RvxBod5abZLZl3ztadrdmZm+0BWKMEAOc6KQjxD7eZPJZ+cX+wLgKwu6UrOI+dhzW8mvtX9Rp8ngn1XwMLdsvmxyyaope6kidXV/mEyZtvDxP056zXUMvUwZxyOsNI8tC8N9kgrLzeaoCM7ke0U42HkgjkyPrkYaBaIQ57PytzgMcKh9HrPLofSbfGDtarThwz5b7Rnsazhtjzju6s61Dt32Eq9zhuNnk8ptjSQ/VFrH1jewvA6rYOjCZNCbs3j7crzeGb8XiWXiU6La6vaPyyvut2mTfc92xFANh30/GtqU/7j9v72tCRdJEmwF5dulmjo7qcvDGr9gAM1Sz1pWTb9x7J0sND9hnVyCKA31MjB8U3r5IaNV9cwNfS7gqsq9uHdaZcqZTG28JmO95G153M0h0d6WaO7HydKTefyin2HU/Xu6PjkVR3h9VHsS6OtXM633hM8bwBrF3CnMNXlnxlyeFwOBwOh6MIV/m3osPhcDgcjgvCrQPqF+cxL1uGV5fgw6dTaPBQ1YZN37Y8LYUX0XCvP/Rklo60pH2ovZLbpt240RzvKyVXcG5jSeJ6G8S9l8H0CrdxodAYvCkuO3NPsQdg6u3Httm8307HL7SQ2/CAdXvYtDX1m1I86kA+iRslbJrp0XW1fSZv0dPkBszcgobiM7gLxeyW6R+l3c7R6v98jsrWsGl+ZErR8Xk8q9RiYGz6vJ6abDJcStRCZVBir6l+tkSoddnxy2NFQ6qZLuZwfg1dZusL3pD6lvYdplwRvcZUA7uKKwXBDsVKMTMdZu0+rCP2k9tfnw7k7bb0lucxHdg5HLBzOG/DYcBSb3fLxsK8uTRTMC1C192JR7O00ix59gNrO6zVgaEAmXqrSoOPUFqnqJadxJSwf0r3Sd7GlBz8Ajli90o5ou9GGoljPmKLzb8nUW/njiwyeQc60ruU3d5VLsBUtG4aznV2EpV5pLImt9zZRus7UumoZunniAKsjlZMubPl9OLiMWU2Roe1tFCKeQvsnJtTXCIaLoTwFgD/DeOfap+KMX5c8tsA/AmAVRMt/C8xxj+YjbY4DedwOBwOh+OyQgihBOB3ALwVwCYAPxRC2CTFfhrAUzHGmwDcBeC/hhAWYBZQ1ytLDofD4XA4ZhmXZmXpDQD2xRifB4AQwqcBvAMAR2REAK0T26i1YHzNX+1YLwp8ZcnhcDgcDsflhuWACUE9OPEzxm8DuBbj257vBvDhGKPstn5xUNcrS6MoZ9qGPTWrXRg6kkj51WstL8y6CQ5n1+0RXupJYhbWDalO4nGKt9ew/4doBxfWLKmuh8NJNQT8uIRiT+KUxP+uLKdx9eRLtJu1PuXNlCaNEgDgZ+h436+ktG2SselXy37eNuZm2jlb9R983FGycciLmik0nXe0aIMFh+yP5ZdrHU26jnMSoTzf7vAxfX2A1YPMdCsU1T2R5mpkc0qPlsTegto7X7dnGZs+3VqzepjRUlqN1jB61secIb2R6vZKOVq6PF0aMFUfxdfi81RnyONctRx5NhOqe+Iw77LoS3grot1lqy2010rWBNxG1mwBdvxq/3IdfJ5uz9JJ7yLVLPG2Lqy9KXw/FGmWeNwU6fHy0nreUslrySmnuiduF9chdgbn9pFOaYVt8HP9ZBFAXa/2C2dH0xxQCwM0xiz55HNJY4YjshtXJSWHDi4xWUPGjiHpLBsrdi4eGkrPvbsj6c903PDvlk7xZmAd3JwjYDYE3p0hBBZifTLG+Em5qiLK8b0AdgF4E4C1AP4+hPBojDHf7+FVoq4/lhwOh8PhcMwyZoeGG4gxFn0BHgTMX1QrABySMj8O4OMxxghgXwhhP8ZDDb6Biwyn4RwOh8PhcFxu+CaA9SGENROi7fcC+JyUeREYp29CCN0ANgCYPuz1NaKuV5YiAkYnXE6HhxaavMbOFELaIcuZHOLJ1gH7Jcb1Dgrr5eV4Denk+nqFymOKikNc1SqgjEQZbCbqChh3Kp9ED31YKy3AO5jfu/zBLH3/8neZcky1GHsAwFJv6z46/c9hl481pJXpCaYoby64L6V1ursSDVd9V+LUmJoArDsyh1drfbuoHR1l8RUgyq53/f4srSHw/WTbrZTiyjWpHUwTncnZwV7rUNfroXLKW9Blac7WrlQ/jzd1/OX6td+4r3j8sjMyYGmjx3BblmY3b8BSQ+qizNT0fXggS2uYN9NJSlddQ7QcU4NqMXCO3gPn5J1QbU4UDV9bnzPP03vwJbqu5aTYYkCd+3eRA/kCmttKrbyZ+lEtOLQPJqFjytCS11XT+dfZ8zl0fmHZtpdpPn4XnRq149y6b9txyW7ZbEcxhX6vpeMTB8kKf8z+OlqyNs0pptMA67rOfa/v1dvKySZme9numsBh//yMDq+1/VbknL2YOMXHj6dnvq7N2juwLGLPaHrn7i9bmwK2sVB5Qx4lPmeY46+FGONYCOFnADyIcRLw92OM3wkhfGgi/xMA/iOAPwwh7Mb4+tfPxxjVW/6ioK4/lhwOh8PhcFyZiDE+ANBfWMg+kibThwD807loi38sORwOh8PhyMfsCLzrCnX9sTQf59CDcafqapuNguAlZ12a5WXh0ZxNPgFLLTDdoxE4vMmnRsMxZcfL6rqkz3VqO5gCZBquQ2yqeSmd6S9dBjf0x0B+5EcuJQfgK89sy9JnN9gl8nfi/izN93yDOHg/S1Fzy0S319GcVlKHqP1KdzD4PvWexwrcrLm/mQrROjjShjdzBSy1yeNGqZS8+nUjVqaytL1ModnxtQx50DHF1+MxtclYmFiql8eNUsALDN1sXcCZHjSb2Uo0nLmXmlBIpemj76Y4bDOVs8+O7UOrU//whrvaN0zJMDWoz4Ej9pQO5PnMzvVTXbrTfRXRLHYOnMktx89Vn0NrOeXp+8duurxg2nMA4OVyJUsvlvcgX9tuZG7fD0zlLV1NVFvN0pA8Fs+U7Xzj8cY0qm7w3UWUqkokeOzweDgqEWqMlbKZMh8v6EhtUkp8xfLp5QKTv78mwZKRIRnbL2tIsmNOUdcfSw6Hw+FwOGYZl2i7k8sJV/ntOxwOh8PhKIR/LLl1gMPhcDgcDkcR6vxbMWbcuzr+nqLQa7UO4JBf1haoezFz/qw9Ue6boZqPgRynY+W+ORRfQ6o5VJh5dnXyvRfJLoDr0zB65vU3bbXt5XBVroM1SgCAjen4H8VWoLo2tYs1Gs+K8zlrrr6I+0weawhGJaSawX3FbVcty7DpQ2sV3EoWw6w1WCChu6xTUn0J6xBY/6E6In6WPI524BZTjtuvoeJsLcHak5pMZw4B/xqF/QPA2yjAhPtmO2x4NY97Hm+fwXtMOdacqRaJnyXPsUdwhynH2kLWtQBAtZSuzRoYtToYXpvuZd1am8fncXo73mDK5c2xVrGiZg2T3ovVelWztNpssC7lFuxEHrh/t0g5dgvncajaSh5HmsfPheesjimeOxranjdWVI83UE46MNbwsfUAANyMx7O0jkueO3ovDNZJ3oavmbzD1F5+5l2q9aLnficeMXnW/iTdl7aX+4P7VzVL+k5nqLXNnKPOvxZeK3xlyeFwOBwOh6MAV/m3osPhcDgcjkK4dUB9fyzNQ8yWgnVpmkN51b34+Qevy9KVexONo8vsTE/o5rkMXsLWa/ESMdd3J7mDA8An8FNZmh2EAUvZMYWoG+zyRou9SE7UugzOUNdgXlpnykDtAf6xwFbg6Se3Zem2dUey9L6ytVV4cPTeLK2u2kwtrKL7V7sEtmrg+1RHbA4vVgqNHaz5PA1lbi2l+tmFGAC6S9M7Fg8M2naMHEm7+K7f8ESWVqrt4HfW00kmC/29iR49V6V2jNhQ+faNL2VppbXYzZipCu1fptS4fx/sv9eUq3RWs7S66b+v7c+yNI/RZ0/bObWsWbd9SuB5xdSHjm2mxqbS6mlecTt2TXHwTs+Sr6ubtN6HL+a2g8F0qFpJcBuVmuc6eUxpOd64ehOeprSl2Jli7ho8YfLOtMzP0sOlNBaHxSKD3xe6CWweNhOdBuTvoKD07VokF2yVM7Dsgt+r64SWvWE0je3Rsn2H5W1sfo1IOjjvWulTps1uO/2PqU3N+S7rRRYRTN/yuAGAPqzR4nMHF3g7DedwOBwOh8NRhKv8W9HhcDgcDkchfGXJV5YcDofD4XA4ilDX34qNOJNx3roVAYdXawj4js1Jr8AaAtUKPYQ3Z+mHR+/O0jvLNsybdUkadsohxaw10DBQtthXrQGH3DOP/U78tbRjev1Vj2wlwtYBaivA+gfWSfAWJoC1B2CNEgDg+nQ8SJYDfessV887nz+/5zqTx9HAR4Zelw6W2mJGZtY4/fkAMG/j6Sx9vtqcey2TFq3QCZ4tDZq3/MJtAsC7TOwduim/HF/bSulw7slF6YBdEKwjAk7sozbpPtxbKE3SrF20TQ5gt4tgzcv5PulD0ixV2qomi+cY60Q6mq0+isc97xYPADupwayrUo0Ka0N0Cx3WHPUUWB0w1lCI+pdrVjPybCnNS9XIcTtYh1JkO/I4bjbHbAtxM73P9F3HerzvPvSNlLEfFizBE3nY/IZzWXpRwyCdM2gLkkxpY/kFm7UmvftYy3ProSdMub09z6Zzaumca0pWK9R9+liWrjRbOxW+Z91qhlEaO5+l2wfthG4t783Sp9po2xXRcbKubPleq/UCSQvLJDG6q/nLphjXqbYCjKKxWGQrMCdwgbfD4XA4HA5HDpyGcxrO4XA4HA6Howh1/a04bv0wTu3o0ibTcBpiz+Dw8CeObDZ5leXVac9RmoypCnUS34C05My0FlsAAHapV8PIOUSXqTxdluVrcxsfFXdhXWZm8HL/40TJaMgzu9CyPQBgqTd2+j6xa5sph05aFm88J3k0NI/YkHgDpqiqOWkA51uINlJKKq8+ob8MVbZC8vh6fJ4auBMN17Ix0QxDB5fYcp3UH0PzbV5jTrohmmLzK4kKOteSv/P7oYb0bDeV7NhmmN3jl9rnxfVVhyom71RbGvdsudBbsjwRU9E7DU9oqTemXZiqAiyVruHm/B5g528N++d3B4ND6gE7Z5XC52MObddr3UEWIvru4Pq5juVPWipoeVcKWTfNOA2LUeSDq2S6RelhZtKFie1Zlbg948YtkfJMI54qpfGg76VGGh7V661tA5c1Vh3yrr9lLFGAp9vs2sCCkUTRtRJFN/+kpetOd9F5bSYLq4+mOXyOmq+7FfC7ml3Q1QaCXctflvc726TMOXxlyVeWHA6Hw+FwOIpwlX8rOhwOh8PhKISvLNX37Zcxki2n62aKvHkuR/EAwPmx6WX965fbZXCODKuUU/3qXMvRdtqOBbT2zdE4Sg3mufUC1lGYz+uVcBeO8NlHS7YagcN5N5J7s16bKbkbpBwvM6szN0e9Gept8zZTDl+n44rNwhcovZHSEqFmRjAzMhIZZmitZ4TWWkfpg8hHpaAd1Zy8KnKxoJGiNLUcOSoL02TvzdCGlq5sWpHojkFx1R4eSrROqSE9r+1VS2ff15FcqtnR/dRqO0aP1xLlpdFwTCc1lVKb+iS6rFJK590iG85y1CbPsXdNiQhNeRo1dj/eNW19HK0GAAsp0orpE3Xx5/mm7xiec/3oytLDQrFzxK3SLOxg3Unvs+evtyGhvNnt+kEawBLIVvi25zHLtJmeo3USmKbsGaVwuxdtuY72xPk1Un0neuzzisT86+biNx1KkWwrexKVpc/yeFvizSqnbeNrdG/9zYkGXz16zJRrPprouinUZjLkx/y0NzV6f6jPFFt5Oj2XanNqk77reQeFLhkrSu055hZ1/bHkcDgcDodjDuDWAQ6Hw+FwOBw5cBrOBd4Oh8PhcDgcRajrb8UxzJ/iQD0dNJx0Hmk0ThxJeWoVsI40A6xX0F2jWZek2gW1AZiEhgkzd62O23w91kc1SDtYD8Ghy7r7OpcblXBdbgdf61nSbwE2lPvBUbsDPTtzG3sA1igBwK103PdLNm8daXaKNEBHcvI0tH+A6tMhw1YCPCNUv1SkicqzHNAZRsccXj2v14ohzh+UuGxGX06b5FqDfaRtEWuG86RZGm1M43dlhw1l5p3OOVx770uin8jRAQJAz+o0ng/1JyFKV7d1u2fd3lHRBbKzMeuSHoQde1uxPUurLpDnAc/ZMZkfrI/huTgMq/vi9nbSfNA62U1frQNYj9ghdbBOid3Iy7IjwSEe0Ido0Kq+hseHau4Gc8odlXJsMC1autbRdG/Nx8/nljvbmOZi4/40Ltu1UdT+cru955PdqQ7WhCn4OTcWaLhWk1v4lHvmqSjD/GRHaseijnQvOlYYbMGh1hc8BnSsqH3LnMJXlnxlyeFwOBwOh6MIV/m3osPhcDgcjgvCBd71i/MI2XLnzeK6u5DChtVdd3P345gOury9/XgKoy41pOXSalvFlGN6Qm0FeOmU6QPdAJQ34NWNfzkEmt24dQn3FuykdqSlaaUIeHl3Xc22o6OUlv6Z4tRNSb+I+9I5ZVu/2RSX6Z8KLJh66/2YzfvlbSnNq/MbbbEZh+zztdWZmym1fcgH168u4FwnPxal8qiOY9VV07dB6zsieXkbBusmw32UXid2CRvTcymThYFuaHz9hm9maUMD7BJr5+tTfUtXWyqPXYq/VX1jllaqbUN3crvXsX1qNNHDbOOhlDWH7KtlBjt/M92sdDaH4he57jPlpxQJUy1sP6Ch7WwXoDsDMJXD747SFJ4oB0rD8fgtqqJgw2hzLOxX8yBRb9ylsvfsot3i1j+JA3JM9JdasiwcSnWsaenL0j2lw6Zc+5N003rPz1P6jZRWipIhdSzi9xv1940n9ppyw82JxGFKuSYdzGP0km+cy3Aazmk4h8PhcDgcjiJc5d+KDofD4XA4CuErS76y5HA4HA6Hw1GEuv5WXIiRjOdfK2IT5riHxFL+//Pcr2Xpxs4UJtzQINoFCodupR3cVU/BdgG6LQiDw1iVg2eLAd2J2u6WnuwMtuIbphzbEbDdwNT2Jo3VoqetfmBRcwqh7e5K6Y5mK9JhHdSUMNkqF6Qh9gVbzOhoWKMEAL9KxxspXbXFpmiHJqG6JD5+JuccAPg6pfVat1JatyDh4cdtUgsDxhZK75I8vrbeS57VgV7rekqL7mne5qRTGh2xdhcMHousdXviyK22YGd6lsdbrDfDzg660b6UPL9RbTbSOFK9EdtRsFboLnzZlNtCuj3VB7FWhOfKnn5rg3BX98NZmnUjZ0dte2vl9H5QvRHjcWzO0otlUOVpGgF7L5tqqf5FX7Vzdukqion/Q8r4ijSEx4romYapivlUbr46WLBOaaXkybYmGb4kxz9IadYN1aQcXXvpXon7p9fs/Ddyf4geiiVt2h9tlOa++bqUG0U+WKr2FykZftEWYz3XG1d9a/rzAWy9Pr3Tdzdfb/J2mBfGHCPABd6XugEOh8PhcDguYzgN5zScw+FwOBwORxHq+lsxIkwJvZxE+6EU/1npqZq8+USpdbYlOonDkwHronzimZTu+G7L/QxQiP0BWZtmKmAzkmWB0oa95BDONAMAHMKyLM3OwGVZH176DC1V86q1hsKO0g/2Sh4tC1ffldaplcpk5+9VQhseGXodHYSU1rD/kZw0YKm3Zyh9cJstx3QYsz9F7ttqD8B5R9gG4aQt99U1yMUYu1FTHX3dUpBcpZWWZDxJaaUaub1qF8DgqbHOZp3/QhrPI0uJ7xB6cceGtPRvaKiH5Vq9KXmub5HJKnUQF6KUYg7UdZ6xj26mS2K5N+BZLZ6BaUROr+22A4JtPdjG40DZzm2mCtn6A7C0eg9SOLve113UkZuFi+X3xaIvEr30JCx4DhPl9ZSE4vOjlWh+nMH0aBX2q5ceZbu8O5rY/oLP2yWVMvXErzCltpkq1PcDO1cUveu+SmmlCbkTuI7npRxTkdpxjM059QGmvS+9qz1Lt9asS/ei4+k5V5srJu/UFH+ROUZdfy28dvjKksPhcDgcDkcBrvJvRYfD4XA4HIVwzVJ93z47eD8LG9FS7knL57qRLm8WylTWcINsestLvbREfHTUUivlcrqWbqTL0TTsFKzuxRwVoxtDclmmHXUT3NNr0kJh835y09WlaWaTypJHESK7cUOWZkd0hW4AmksNaTuqlC5y5mbqbWibLddLx3xdMZg2edoOXt1upLEyZseNobKUTjpIz3OI0hqhVslJC002hZJgcPu57b0zvBZg21/Nv9Sxl9JYbOukgvqMDTVYYIFM7ZhHzuGAdYk/JbTvkZfS/GhdnqgLpqj1uGgzU44WZZps/LymacvpBtrsttwk84PpNqXmGRxtqBv/ctQqOqhP10sl11J6c0pukuFrIFM2N+JLo+E4gqxd8t5E6V2U1uHA7SraG5bbeK3kcR3cH+pazvel12I6k+vQx8V9oC7gN1CaqTdtLz1KppGbSnbctHalsa3RnGenvKwdc4m6/lhyOBwOh8Mxy3DrAP9YcjgcDofDUQCn4Vzg7XA4HA6Hw1GEuv5WjJiX8bgc4qvHx01MOXBoMOkaNrUlZ9yz4mTcuCLFiY48mQj6rrINE+awYW0HhxezQ6+WY5dtDmvWsqybUH1U02nSKbGGRHUHGtaak6dO4owKkvM575wOwOphOK2jjV2lq5LH4fJ8L6xRAoA+Oh7jtNTH9auGgq/Vh3xUcs4BgCORDujiR+bbctwu1jNVbDHTxiI3ch7a4tJtrqX33JtTTrRIjS05WjXtX25TnxWMDS8nLSC1Y2W3OtWnm1kgIpr2pUnA0kSB7g2iI+KQ/SYJiOe5w7okDclm/RGfo7vAd9O8V01fniO/Wgdw3hTtH4O1MockL0dTEyVUPtD8GxZtzwk65hG7UGQyi/g8fa+onierXI750eadA9j3lGqqOLy/OSetdYgTSG45bRP3gWqiXszJU30U5XXenl4e+sxbR8neomx/D1xy1PXXwmuHryw5HA6Hw+FwFOAq/1Z0OBwOh8NRCBd41/fH0gKMZjSXbhbLy90a8lumkGUOxR+q2nBlHCE6gWgGDeFk2kyX2Y01AS3N65I+t+M5iSPnkOJ+shHoFtfggfZEJyx5kRqsS9jcfN28krqR6UUN5S4TNai0oQnbr05f95S8gmhzQzVNCVnfltJsMbBimy3HlFfVZplZwNdS+iuPQgOAEXIqrxKRoaa73DeVnJ8DxVYHB3PytH85T/fgbMlJyxuh0lalrDRYBvVBVCm9OZqsNdifpY/1rsrSOm547ugcqw5UsnR3d/64ZDqsisW59TPVxpQZYG082GlfHfP5vVIWWp3nM9N8nUK7sK1Ah3C7horkkH21BFhFaaJ/gtJ19GzFJMXAbKSr0epFlFdDTlrL8SuyiNYrss9gdxWuT+cK95v2B+cVbZbL7dLfmJzHVF5BlD+PUaWb+8vpxgpp2bmGC7wvHQ0XQiiFEB4PIXxh4rg9hPD3IYS9E/8vvlAdDofD4XA4HLONS6lZ+jCAp+n4IwC+FGNcj/Edjj5ySVrlcDgcDocjYXJl6WL+qzNckiaHEFYAeBuAjwH4uYkfvwPAXRPpP8L4Vp0/X1RPDQ0ZRaUbWTbV0lJnZ8kubw8PER1WrmRp41AMYJB5kjHlSRI02o7BtBlHvqjjL9OIei+83M9RaBXhk5YcJd6oaBmcl751pbeNs9J9Kd3Bx+qQbprFaaWkiqgxpsCYdtLHYKixbXTONlvORM0hHxrlltemIkoRtOlpVaLh+Lk8Q2ml9bg+bRPnFW2ky3lKKfKQ5Xup2GIcUWbGgL45mDlmShKW1uJNjJ/qtA7F93Y/SNe184M3u+XNc5WqKKKH8zbS1Tp6iK/h+qZG3CYKRel3ns9MvSn9ztfW6L28TcLl9WDpJYrkOlcQ/XVSxsMJouPZ93yh6FQ6mF7SqDGmocZy0grO00izhpxygI1so327p7zP9lNao4D5mHc1KIo21PrZxfx0Thow98IUs1LAOgYclw8u1ffdbwL494D5DdwdYzwMADHGwyGErulOdDgcDofDMcdwgffcIoTwvQCOxhh3hhDuehXnfxDABwGgc1X+ao/D4XA4HI6LABd4X5Lbvx3A20MI92GcVFkUQvgTAP0hhGUTq0rLkGNXFmP8JIBPAsC6LW1xujIOh8PhcDgcFwtz/rEUY/wFAL8AABMrS/82xvj+EMKvAfhRAB+f+P9vLlTXGBoyDYDaAxwqJZ3EPgnFP3dkUZZu6khaiFrZrjN2LU/igOcaUh0a4stQbQ+H96/Fc9R2ey0Oy1bemvUVPQU7s5/oSittZ7sSL770qCXrX+pKRLv2GzvI7qItzLW9wwVOyfM2JsL+fAsR/p3nTDkMkJ6nYrNy9UGq0alSmnU/rFECgIfo+C7J42uzC7ZK0YpsBViPNUT3pe3lOu5BPniIVSSvSuleSqvuKc8eAMjXlHTavz+efym5s7OLNq6X+niRV/rm4Eu6jfs4msQdnPU8h8QC+egoWWaU099R6mK/j9zkVUu4HVuzNM8d1RHxtRfmuHkDVm/C2kTAaq5YWzgsGpUN2JOl1QqkXKOwctYK2UtZHQ3ZCIhazqBDNDUdHHJfpHdkeaIKJdiegh229c/e9TnXUnBUvTpi57T33GZbbD6bxLfbPKMr4vvSsc19r/3B1ztM6TYpR3XoGGCwDm4PrjF5qoubU/jK0mXl4P1xAN8TQtgL4Hsmjh0Oh8PhcDguKS7pt2KM8WGMR70hxngcwJsvZXscDofD4XAIfGWpvm+/AWNZ6K2GGnNI7pQNYemuR2l9VJfZ9z53YzpoTMujunlnXkgyAPQRT8LL/Rr2zzguofh8Huf1yq6v7YdobXqU07b+rnLa2XK+bHJ5jpaqO8oc1mz7l12Jtd/OV2mtmumkZ4QYKKK1OKyews2nOPTycZXSGmrM1NvD22web87LNgVV5EPz+D75Xoray/el97+joA5GnmsyYKkxzeuldIXSz9iw/yVvy9npVPuX65d74c14R1pSo4bIlRsA+psTv6SO/AvKKWx/mILbryEaCwB6iAtRepjpD06PCpXHdIfSgXn16Rxgqv4w1aFUG0M3420dJNqaH4NW0ZGTJxvp8niIEgJ/JsfBukmpK36VbpY8DrlnSmq3lOMu5fqVuuJ3kzJQPN6eTcn5Oi65P3RD3zyrAx3y3K4iawKm9W6RcpTH1PFUF/v8X8lTLFocc4q6/lhyOBwOh8MxB3DrAIfD4XA4HI4cOA13WQm8HQ6Hw+FwOC471PW3YkSYEjo8Cdb2aGgw60uaNgznlluyNhH0x15KcbKqN+Jj1S7w1gwcFtop9gPMXU/RLlBekcbqZHfSBC3aQXoH2QGbdUrnRJMwn/l64uqnWAyQMOU5sWbI1fpIMdMFGtrOYD2BluM6ikZzhdKsUQLEZuBXUnLI6nfMtVQbYXQ6BdudcPvzd8kpvhduR2NOWuuvSF4lJy1tKtOYPbiHYr77Zn6tppakHRqh+2pfYcUhPM6nzNkcPAW7ZQrrlFT7x7q7XhKblGUbE9Y4Wl2SfeisS7oZu0zeASS7BJ47umUK53WLWCYcNwUTDsOCNUC0DciwaHQW0nvghGz9cdJOb2pTfh1B9Tt6nAd+H7FWSrcjYfsB1U5xCD+3XfV93KWqWeLHyVos1XqRHcOU+rn9fK29yAWP8+6aFaCNldKD7pQO1a1R5hS+suQrSw6Hw+FwOBxFuMq/FR0Oh8PhcFwQLvCuX5RQyygwDaNfdyLFgPe3y2IyLaXyMru6VJ8dJYpvIHEcY8t1h/G0Dqzu3uzCyhRB76ht78JyogjW1GxeTynF5HJ7e03cqlBvvMRcsDw+X5ecCb3rU/1nhctj+nNKSGuV0kxPHbTFzOjbJ3lfp/QRuoFGuVYfpZkKUpN1dubWdjD1ho9S+q222ME30IEN+bUNoaX1oV5b7JnlKf0wLasrrWesAwp29TlCVKHeMzsqK33QR2mmR+WNMFxLbVyyIQ2WYwOrbEGu/4jNqo3RfKE2nnhyuSnXcVPKVKsKDu9n2myNzHt2xGYqDAD2k18CO3ir+zbnMcU+JI75PJ/VXbkjZ9Ipnc3XYksEAEAj8VJMval1AFE+w0+n9FfEpZvD17V1Opon0X46/3jrLpu3iOlAavr+Z2y5NdfSAVNji2w5phSnRM3zfGFH8ENSbvv0bZoCHir6TuQ+2C95XCfTcAVu4ZvuTfziFCqzlt7h12y0thjL6OaexhzDaTin4RwOh8PhcDiKcJV/KzocDofD4SiEryzV/+1PLn/rsn2gZdozurxNlEG1VsnSp6p2md2A6lNKipfg1YGVjznCZ7hsIxvYFXy0ZOvnCDhettcoHhMhcijn54Bd+lZ6hu6TaQbdtJejes7WJNyO61RnasYUOoxQ5QNajx8rcLEtuhZTdFXJM1FvTL39rRS8FvngTYKZPzgj5eh4bKbRLRKVZ/qDuAul8vg5aBQhR85V8su1lhJBc6pGY0D7muuTOth92/S9vH14XrUKpzhAD5Dn26jMRR6XumEpj2eOPJviFk51FF2LoRGsTOlzO5SuY+qtisW20hLxmXxpjXrU46zufOhQ4VHakPNzwG7Oe1Jcvxcp7Tf5c9W68BQ+nZMGbCOLflNxnt4Yv/uKovVqOWltl75L887LcUQHgMDzsqCcvt/Vkd4xt6j7jyWHw+FwOByzCF9Zutpv3+FwOBwOx4UQr/JoOBd4OxwOh8PhcBSgrleWzmNepiPQ8F8kw22jd3glqHRUs/SxrydtiO5EzuHF6jzMx3yelnuZjjWP9UKsedByI2tSupG5e9U0MGeuHD+V7adOVD0F68BY1wIAJ3hU5Wlj9NqqnbqV0l+lG1MXcK6T61NNTdEQYHmMsQdQjdKvp2TDNps19l10sILSMi4rOcW0faZNkneQdEq99POlUq4obwWmR8XaFLDr/KkqjfuKnMfPWd4q3RTrfqxClgON9lrWOdvqDFlXxOH3h7DMlOujm+bxq3Ww9YU6JefplMoiMOE2TrXWKFOabQ9sHezmrLsRnOhJndq+iiaIxo3TbTbRkH3jDuTipByzjJEfn0bzr6OQ+NAlmTRNuZKOo1KOQ/15tUK1QmyRsEbyuJErkQ++tuqN+H2h98JgGwC1H7gmp1yPlKPh8VJPKtjRprbiCfp7RnWjc4kYgFpdfy28dvjKksPhcDgcDkcBrvJvRYfD4XA4HIXwlaX6/lg6j5AthbeKBy2H8urSN1MQlVI1pYl2UxzbmCgDvRZDl/4ZfN4CaRNTEFo/O3WzK7E6jjdyiCttgjslJJebqKvAtFTNy75qv8BUiAkpB+yoYrpHqTYOMVf3aaUHJ6H0Gp/H1yra6LZadK38Z2uot7FtkvnvKX0OueBrF23My47mes9clutTKm8kp5zWydRm1doUMJ1knLiLnqW0w4TwM103Zq+1D2uRhyMvJUpizfK+3HJsIdIgvA6HYjO9VkR7syP/y1KuKJQ7zwV8itt9AczGqSPU4Uon5bzF1TrAhP1LXt6I1Z+foddWk9JmMw2jz5MI6BzgrtLxxvU3F5Rj2kzfg1yW34kqZOZr6fuyyK6EkfOMzjbajbZLYzk7GmOqxYVjblHXH0sOh8PhcDhmFzEAY6WLrdo5f5Hrm134x5LD4XA4HI5cxBBQa7jYnwtnL1zkMoILvB0Oh8PhcDgKUNcrSw2oYfGEHkC3O2k/mgjpZV26FfX00HDlo/0U9j2S9BXKHfPxjdht8o6TgIO1SItrVVOuWqpkadUzsaaCdQxTNBPMp+vO2Qzm8bUcaQhWrkk6Kt2moYviertLdhv0Ew20m3wV06cBy/cr98+anTGq/6CE4h+h8HN6RlOuVaSPMtfuo7QoNow9wL+3efjPlL49vw4WVo2QXkG1FkV6I+TkaR/SbhlTQv257C5Kyxth9JYUzt7UkubYUIMIZ7RPCac2kKatjzI225vmLUg6pMKG5UnLwWNxE54y5Vj7p1uQPIy7szTrGEuibeqZsnX9OBYXPAitg3VKbG/QDRtHz5qwKe04QROam6S6GZqz5/am9D4pxm8t3fmD3ySsotFg9VOk++nda/O6r6cDeseclHfMol05DSmyOFGpF+c156QB229qYZBXxwEpV7RlCj8Lrn8VcsHPNagVAb36KxurJutSb3dSK13drpS+suRwOBwOh8NRgLpeWXI4HA6HwzG7iAhT2IWrDXX9sTQP59EyQW3pkjuHiaq7Lq+mM/U2dNouOi9oTGuiI9W0Fqv15YUkF2FMljR5ibU8KsI3qpLvc4qFQV6YrI5xXn7WEUDncf0aXl2jE6c4y+bRa0o1cZ5GxRoWhta+h4SG4xOrTCAI/TVEeVPCfbksU4oaYM3eBEqvMfX2NUrPRy7Ycr0qeXpsQG0cof44IsXYtVvr42fBt9Vii/HYPtNANJHSbvpsCYYiN6HidmCyg7UJm0f+vDpeYM1+VNzTmebieTQqztl5vxSGpU1Mv6s9CdfBfah1c5uUfg88hzlL6SSyCemnd8BLyEeRgzeP2IXIR7scd3O7qL39Yh2wiOf66Zy0Hitdxd04kpPWOvqRD+4AZWFp6EVpY+B75vP0XvicIj6UUGRRM9eICFOsaq42OA3ncDgcDofDUYC6XllyOBwOh8Mx+6hd5Z8LdX335zEPQxMU0BTqSqMiGJWUNEudcs6Z0bTsPkKr/RXhNPj4lPAYTF/xEjxH6wFAU1eiBUpj1qyrUk71P0d2y1PcwnXzxkkog8FPvcDVlqkQ3dSRI3wGBiVUhakWZkmqBe3QzWKZGurrnv7nAHCESAPu+qrQX0xJ6VI9lx3qpQyNPlEKkMG0HF/7YSn3/9B16ccVKTbGm8xqO3LIkaocc59qv3Hfc79J3/QPpjE2UiW6Va/VkJOG0Es8Ng7aZ9S/IvXvaMkO2lODqZEDbWlQKQVctFn1cQqpYmpQfwkw3Va0eWkr8blKUeRtoK2RdjyH9Vone1L/LFpJ40vnOR2voPQ6oZOY/VFGiim1IhqOzd6X6zuWI8BoHK17Xspx+7nri1y69Z65u7kOdQsv55QD7PueO0Aj2Wg34bBf8rhd3MHKUdK1R+i6jQWG7kfl/X61a4YuNZyGczgcDofDkYtJgffF/DcThBDeEkLYE0LYF0L4SE6Zu0IIu0II3wkhfOWi3jihrleWHA6Hw+FwzC4uRTRcCKEE4HcAfA/G18m/GUL4XIzxKSpTAfC7AN4SY3wxhJC/OetrhK8sORwOh8PhuNzwBgD7YozPxxjPAvg0gHdImR8G8FcxxhcBIMaosaIXDXW9shRwHgsn9BzNR/M35dOQ3HlLp4/rVIfU40MkuGk8R+V0P+8EDVdmTYLR/Qi3voDDixvsNyxrh3jXctVkGI1DmTQOGpbPWgDNy3E+ULsEbtPIESHox3LSiiK9ggER+xXJytvBXEc2a6f0WqzZeYbcx1UrxNeuSh1TREGT+H/k+K9ScuDGlNawf3Nt7UTWR3HssQgguA/ULoGPud+kb2pjqZJ5jWmMnh8TTRhfqzOaLHat3mu0aLaKUxuTZqepw86xsyNp/J1tS6H+RX/tLijYe4o1RqyHAoBTbakdrHOaGvafnksf1pg8tkFgLZJq//jdpHPsQGlllr6ug4Q/qhVaRmn6u7pbNEvnctKKIgfvFdTEJtUR8WuA3m9T/tZvm77cFJ0P562UPLYSaMz5OVCsZ8rT7Wk7uL/1/Zine8rTjwIYbk4NrvXMbIwCUx3e5xqXQDO1HNZP/SCArVLmGgDzQwgPY3y4/rcY4x/PRmPq+mPJ4XA4HA5HXaIzhLCDjj8ZY/wkHQc9AUCU4wYAtwB4M8bjEf4xhPD1GOOzF7ep/rHkcDgcDoejALNkSjkQY9xSkH8Qdk1xBaZahh6cqOc0gNMhhEcA3ATAP5YYNTQkKkqXR2nJtVNsUt/T/Zks/RzWZumFQrs8X9007XU1xJeptj3YYPK+8tJdWbq8PC25PrHyc6Ych4n2l+269T4K2D1csL47UEqUwYGuRJP1jvaZcs17ibIURnJkc0rzfeo99xKHsn7DEyZv79BNWbpl47EsvaDRLjmXSmlZ+VhV4nV5Cn2B0hVbzLBfnPeMlLuH0rrDKFN0D5NL85h1bDbXmuJgzZviFjhzM/X2zLaU/rFtttwKuTaDWTluuzKBTE/oK4lm/rzeNAjOH7EcT2tlehfhE/fYckvekXZLvQHfNnnr8FyW/mrL90zfPgA3dKTz+BwAeKgzPUDexFltPHgjXaUNbsNjmA73tH3JHDOFxlS3uoize7hS4mwRsAfXZGl1JmeqcKXs4LqG5tiC21O59V3WZ2Pv+vTg1x9Ieevtnt5mrm/SXzn8OBtzfg7Y3xhtkndnTrnrpRy/3li1oH4GnGdZTpxYkxrZfoC4Y9nc19ShlgA8j+6jtNJ13Adfl7y359Qnr+kR6qvP4D1Zuly270QeDzxugGL5xxWKbwJYH0JYg3FD+vdiXKPE+BsAvx1CaACwAOM03W/MRmPq+mPJ4XA4HA7H7GI8Gm5uPxdijGMhhJ8B8CDGnbV+P8b4nRDChybyPxFjfDqE8HcAvg3gPIBPxRifnI32+MeSw+FwOByOQlwKU8wY4wMAHpCffUKOfw3Ar12orhBCAPA+AK+LMf6HEMIqAEtjjN+YSVte0cdSCKEZwEiM8dLK8qfBsa6W3LwBiRJi6m0/re+eHbUbauJI0petuD2t73bJejFTARuEKm1aPjxtOV2O/zZuyNJrhYLgqBvmjXfjRlPuZuzK0nzPh8p2TXjl9Wm5v6dm1+PZOZnr0E0dd+CWLK33wsv4QweXpIOqLcb0j27gSrdisU6OK9NfNzc4DZhmI11CUfQeU15ajqPIqpSuSDmOemPq7Q+32XK30rHQVblu5Dqb+doabUf3cp43tJW+WVBKnARHtZ1oXG7KcUTZ7jY7LoeIwp23gii/HZbj+dZ33pila9fZm+F2MLplLvILXTfX/hQ+kKVvwc4s/YUX3mnKvXX157P0AZJM6Ga5vAm3UiZMWx8YTHVsanvKlGugCKdVQsNx9BNTgxoUZeYmU2M6p7hLNWqMy/LYVnkD169RbtwFrHzQccl0GNev9dHrIQrlZ3ZA4HspimQrisrjcjrUxgry+JhepUe22AY31dJY5N8Rx+V3Ez9LzXvuEkfDXQH4XYyvPr0JwH8AcArAXwJ4/UxOLvxYCiHMwzhP+L6JCkcBlEMIxzD+tffJGKOyxA6Hw+FwOK4QXApTylnA1hjjd4UQHgeAGOPLIYQFFzppEhcypfwygLUAfgHjy1UrY4xdAO7AuNTt4yGE97/KhjscDofD4XDMBc5NuIJHAAghLMH4StOMcCEa7p4Y4xT/shjjCYwvX/1lCGH+1NMcDofD4XBcCYiYapJZh/jvAO4H0BVC+BiAdwP45ZmefKGPpdZxTdT0iDGemO5jaq4QETIuv2nU6hNOlZNmQDU1+2pJ+HJbKYUTH5WQ/f0UrntqNNXXUz5synVQHHlZXIM53HMrtmfpW/fbcPuBNYmf3lLbYfIOlZLmiK0DVK/Boce3Hk31q56Lw5yHS7ZvWkcTZz5EfbhPxEKsyTj4nfUmz+hoOml4tNjv6vMHSSigOqIqpTm2oUgrxFqeqpTjUP8dktdQkJdXh9oP5GmWxtRDjewp2B6ANUoA8HU+/pdSB2kZWM+kdgn82DV8u5fSFapE3ghHnnhdSldTGhJvMrIjiUVGllrhSM91ScxhnnlF2tSY+uqJlzbbvIHUxiMtSWe4cm2+zqdf3PQZz5LAplHsETYh6Yo6SHzDWkfA2huo+z/PsbvbHs7SvWJbzhqVN+Mhk8dz7LqvkIP3P5hiWPomEu2QQXzROO/fb7Na6bHMp3LzF0kdLMVZU5DH9Ws78hz+C34bBd10gd8Xp3PSAMDbqqpghPVG7AstRvhGV7VL8vhXBm20sbRNRGF0n5V/Ws3SvZAHQWAd6/ilN+eWnX3MfTTcxUaM8U9DCDsxbmAZALwzxvj0TM+/0N3vxPhHZcC4LO/liXQFwIuYOl0cDofD4XA4LiuEEG4F8J0Y4+9MHLeGELbGGLdf4FQAF/hYijGumaj0EwA+NxHGhxDCW2Ft/hwOh8PhcFyBuEIE3v8DwHfR8elpfpaLma6rvT7G+KHJgxjj34YQ/uOMmzgHqDXYB8mhmqMlK3g/0ZeorOraSpYu4mSHhxJlMlxeaPLKtFxeFrdwpgXMhr4Sklu0xMnWAeoizGitEZ1Ay76tp4XjYiZk0ObNpyYu6EqUorrHGmpTN6blKoeIeisKy9fQdq5D3bLzynE79JxKTjnFCNNmQkGzcXIRbWggm/HmdYLaAxjq7bck75dScqRAMsg0XOE9U7oieTPdqLgAJuS+cGNlyhySDqkkOneeOMEzRinEviQXY8qLnZIrbVVTjucsU91Kw/EvDxPaj6mbd09C7Qe4ft0oVam9XDATSdVHoaTGqHr1gh6msjyi2uV5NXHzNRT/BF+M0kqNTb+PeXFYvo7fk5Tm17bOI2bD9LpMG3LXq60C16l1nMjJ0zrotX3WjFH7zHlMqV2LHjteMUKMMXvBxxjPTzh/zwgzLTgQQvhlAH+CcVru/YB8FTgcDofD4bgicQWsLD0fQvhZjK8mAcC/APB8QXmDC1kHTOKHACzBuJL8/on0D72CRjocDofD4ahDTNJwF/PfJcCHANyG8X3mDmJc1v/BmZ48o5WlCauAD4cQWmKMRf7HDofD4XA4HJcVYoxHMW6y/aowo4+lEMJtAD6FcRXEqhDCTQB+Ksb4L17thS8GSqhlPO6i4+JgQHx300rh/oeSFoW/cKtYbIrx9ifnDqYY2uMdnabc4nzBCoZJ26P1MwxXPWjvpdaeHhPz1hqGbED8eaO45Dceou9dHQGsdepK19ItXjZTDG1/rw3RPvckxRsz36/bL/Rh+nKA1Ryx/qFIH8WaoqqU0+O8axmctIc0Bgq1N6avFkoePVuuY6kUM/HLvyR5H6P0r6TkUL7Nx5T6+bgTuTDbk1RJ7KZ9xuOoxY7fhay94efXa6tYsbovS6t+8MhLSWfY052sCFTXw1uyKLoor4f2pthu4sbtHOPwfd0+hfUmOhd5PrOdyLDYmHD9anGycpTESHxbKoBYSWkiFV46gVyo+oV7kR/lGdHo9LKtgHb1IUwPbS+Pez6naJuRHsnjccTaI9UK8c3onM17r+h98FYoei98Hl9b+4aGM2971TlqKxwtL5i2HHBpfY4iQt37LE2YUP5zjL95spERY/yJmZw/U83SbwC4F8DnJip/IoRw5ytqqcPhcDgcDselwd8AeBTAQ5iyw+KFMWMleIzxgBhU+q5+DofD4XBcBah3U0oATTHGn3+1J8/07g9MUHFxYuO5nwUwY+fL2cJ5zMtC6aPeCbvVSoxr20aNUx+Hhv/WxqZfdtRyLbSoraGg7O5tHLdleZuX40+12XBwDjdmZ2C9r/4S0WGvS9da1G9pkSPr07r10qP5TrNMLSh9wGHZ56qtJs/QbUyvqdqNl8GrksfPkykjpfKYQspz8wYs5aNjhdt4hP4gGBP7Yq6jKnXw8Ui+c7RZx89ru7Zpij0AUW/4KLVhmy3Gw1xpzjwasWIPmXprXJp4nZEW2d59F6VX2A42thN8zzINi2wx2Eqg/3jq3+EOS3My/aX0+FNEibLFQLVWMeX6S2leMXWuvyx4rh+VufgydeQQzW2lVthlvCqdv7Cc+q15/bGUoabPbPRMZvorhIaL/MwLKDoebezsDYijd5vNM3TgyYJyDTlpLXcA+eDuZopOKTRms/XdMb27AyBD2xjBK83H9XN7C4ZyTy01svmQ3Zqs1JVeBE3NlmLu9AD014ovhBDum/SLfKWY6cfShwD8NwDLMa4M+b8YD7tzOBwOh8NxBeMKMaX8MIBfDCGMYlw8GgDEGKNu6jMtZvqxtCHG+D7+QQjhdgBfeyUtdTgcDofDUV+4Ej6WYoytFy6Vj5l+LP0WplqCT/ezOcfkA+xvt2u4vMx+VtZEB4+ktdPR1fluqpXmapYeqlRy28AROUrR8dIp1x9ls0Y+jzfOBSw9wc7Ael9M5VVKqe0nhRXi5f5al50A7AJu2oRlppyhJEYkCouXuxvIEVujtfKoNgBYgenRK8dM5RRFqHF9RTRcXhQeUBxBxhQjt6mqDaEHX9Qm3RTXXIv6kam3kW22XC8da3vzohSFDpy3NMduuSLHXH+D7ThD4VboAiOWGzxzmmiyEeExqEqmxzWCjMf2gNw0l+UNqZtK6mc9PabQ9PTLQ98dDHYL14i6BjqP5y8AtPJxD9Fwsm+1idZaRWmh2gLRTiuU8srb0FbpJH41rZK87pz0i1KOdxQtouF4eOg98zjNu3/Atrdf8vh6XL8O+SKaLy9Po/eIQePNyxeVLa9Xa0jWh8MSSavjw/HKEUJYjPGnnY2uGOMjMzm38GMphPBPMG7itCSE8HOUtQio889Mh8PhcDgcM8IVYB3wAYxTcSswrrK8FcA/AnjTTM6/kIP3Aoz/3dkAoJX+nQTw7lfVYofD4XA4HI65xYcBvB7ACzHGuwHcDOBY8SkJhStLMcavhBC+CuCGGONHi8o6HA6Hw+G48jCuWap764CRGONICAEhhHKM8ZkQwoaZnnzBu48x1kIIGkx52WBSK6D8LmsING/96qeyNIfyqv7hwGmKhR2b3kUbsNoFDX8+ROT1JqTrqj1AEVgvdJTEAA2ik+DwZbYsOFTK1xupaG+0lHQZRRw52xm0b3zJ5J3YtzxLz6+kvmpaYfUag30kAuqTC1xPaR6lFSmX58KrGqg8OwPA6m225NQHWL2U5rFOia99UMrxvXA7KlKuJSet4OuyRgkAHqLj6yWPr1ewgdH5Z5IgZGQFzQ/tQ3Z2brEhzzxWwHYclWjKtTSnsbJQwqaPkXv6+b7UptFuO99Yp6TzlPVM7Eg/XLPz/gxpSlinpPUdJ/2Zznt+l7A9wAKJV+c5zNomwNoPnG5LJEBzsw03P3ltepcsWkU2IXmh8cBUHRHrfhpyfg5YDZPqcnjusH5H6+DjzZTWOZV3XQCRzgusMVKdIb9Hity9Oa36KL5PrZ/N3/lVqn1Dv0F3k9dDf48VUh2n8fsNcZa/lJqlK0HgDeBgCKEC4K8B/H0I4WXk+85PwUw/FR8PIXwOwF+A5G8xxr+aeTsTJhr8KYwP5QjgJwDsAfAZjP9K6gPwgzHGl19N/Q6Hw+FwOByTiDG+ayK5LYTwZYxL/P92pudfSLM0iXaM6/nfBOD7Jv597ytop+K/Afi7GONGADdh3ODyIwC+FGNcD+BLE8cOh8PhcDguMWooXdR/c40Qwv+eTMcYvxJj/ByA35/p+TNaWYox/viraNu0CCEsAnAngB+bqPssgLMhhHcAuGui2B8BeBhAoTX5CMrYg2sATKWTeLlbly/7jqfY1e6Oo3SOXQa/pnlPlj66tpqlF8rmnVy/uvDy0j3n7SutM+WYPtiHtbn1sxtyP6wnALefaQC9f7YcaJJQZq6Tl4s1NPpruC1LT3E6p/D7cy2Jxhgckk1lG4kyWCe0JNNL3FUVW8ws3TMNoNSSsTOQPK6T61P6i+m1akEdnKcWCNwubq+ayjN9oPQEt4PpMLUHYOrtN7fZvM/ScQEdOL8zWTEbp/a75Fp0n7zpNABUO1Kl7SvSfDulzu+E4/3WW2PFTXvTeaPpvJLwIsYWQ94JHM3DdHZvyVpid+Vsxqtze9hQbdbB+4zZQDudp9T5WjyXpXuEEeA6aw10L22WhjMbbzP9oyHwTGXp7yoe69ylGs7PdayxWSOkWjAsrdJar6M0U3JqU0CPZWSzzWqkezuxMl1N7VSW7iLubQss+D5ZaKL3zG3McdIAYO6TqVEAWDCSntEBsjrXnRGY9tXoswGI34zjleI6PgghlADcMtOTZ7SyFEJYEUK4P4RwNITQH0L4yxBCnhPOhfA6jCvQ/yCE8HgI4VMhhGYA3THGwwAw8X9XUSUOh8PhcDhmHxEBYyhd1H9zhRDCL4QQTgG4MYRwcuLfKQBHMb657owwUxruDwB8DuN/tywH8PmJn70aNGDczPJ/xBhvxvi3+owptxDCB0MIO0IIO04fO3PhExwOh8PhcLxqTEbDXcx/c9b2GP//E+7dvxZjXDTxrzXG2BFj/IWZ1jPTj6UlMcY/iDGOTfz7QwBLXk3DMR4fdDDGuH3i+LMY/3jqDyEsA4CJ/6ddC48xfjLGuCXGuKV5ycLpijgcDofD4XAwvjDBYiGE8P4Qwq+HEFbP9OSZft4NhBDeD+D/TBz/EPDqtkCOMR4JIRwIIWyIMe4B8GYAT038+1EAH5/4/4LLYw2oZduJaFgvWwI8hU0m746O5G7eTd9kk/qnSXAY58E9iZA+tGGPKceh0bqrOFsHsHbouPDPbG/QLd+JZdIiLSNdw3Owuieun7lw3X2d9VG6/QIvj3J4tfbv25A2bt5etiGurA1gPdPwkOXnz/PxxnMmb97mdM/nv0CiAdUi9VKadReq32F9Qq/kVSjdR2kNj2fiWdvBx6wx0hk2lJOn7e1FPlizxPel7a1QmjVKAPBuOv40pYVcPzeW9EdLrkvx5sd2yb4S1ZRsu9UKsHjMlkpJs/N4w2bkYXP34+b4qcE0h0dI61RebXWG3VP2tEjgecT6Pt3NPU98qpol1p7ofF5JW9DzO0A1KjzvuT7AzrmxErWp3c6VF9vT362reVsU1QAVbS3CZdlyQE1jOE+HQHOqdGlpMLdc3nYqpzvs3+7NJ5M2q7/Z/m1ea079wdtN9cnEWXr7E+ngSWkHWwmw/NM+BkSaV0HsGF5Yn9q1uFbN0gMlOx5qzemmiywAVDfL4N8LKnGcC1wB1gH/A8BNIYSbAPx7AL8H4I8BfPdMTp7px9JPAPhtAL8xcfy1iZ+9WvxLAH8aQlgA4HkAP47xVa4/DyH8JMZdQH7gNdTvcDgcDofDMYmxGGOcCCb7bzHG3wsh/OhMT55pNNyLAN7+als4TX27MDU2ARhfZXI4HA6Hw3GZ4AoxpTwVQvgFAO8HcOdENNyM3aFn9LEUQvjPAH4VwBkAf4dxb6R/FWP8k1fe3ouHs5ifLV3rEvYt2JGly7K0ycvpvLTZJJYAfbWZOaaye6/ScExzXYNE32l7+VgHJR/zvazFvtw2MTXYIhTaflqqVtriDIU2M82nYc1MJ9yA3XrxDIcaEgVRarBh06ONqY3lRvuMRkdSCO3IUqLhqvZShobKC3/W44rk8XGRTQFjnRzvojRTWWo/QEv683pTHPJ5tV+oUEG1DlDKLu9aTPkpRcfU23sp/SfbbLne6S81/66T5pjpVrWSYJr2bC0Nji1tO005ddpnVNqqqQ5yCFdLCz5W6ti0l+aUUtFsO7KZHqxSJEXWGuroPV3d2ka18eA2GvuQHjsgzHuLL6v0Fz8WpeHGctJF7tvy24MpsO6ORH8F/R1LbTzWkwatPv/RjdPbrgCWOt2DtGOF0nDLutJ7q/N2S7c27yYLBuoPbhMAlGvpmS3YbClQfkeuLCXqlS0AADse7I4PthyPh+My0Yvmh2NGeA+AHwbwkxNyoFUAfm2mJ89U4P1PY4wnMW5EeRDANQD+3SttqcPhcDgcjvrC5MpSPZtSxhiPxBh/Pcb46MTxizHGP57p+TPVLE0uVd0H4P/EGE+EEF5hUx0Oh8PhcNQj5tIb6WIihPDVGOMbJ7yVeEPKACDGGBflnGow04+lz4cQnsE4DfcvQghLULzt4ZygATV0TCzHcvQJAKyZsjNrwhak5f8NBdTYWaKC0JJut0+saznaTJfSOUqGXX31y3odOflqxAxTYI/gzmnbrtd+2WwaaqPrmCrsEhqO28U0H28CDADbaZPHDokm2kW7Y24qpfO2V23U3MqO9Mye32PMVS2UUmNwZFjRhrudNEeekQ99Xu3mOpTW4o1fq1JH3nk6S+j4/JGCKL+ie0FOXtGM1DqYKmTq7f3bbLm+X8qShooVM2F10mbw2DleSp2tUUFMQSjta8qWUrnNsFFzW4h+V9rscbNrK1UnFBpTPnlO3Hre1I28U3/wvNQ6niUKSeUC/E7jax1utru09vK7jp9LERWtv/f4uGgj3VpOOViqKfBYVONpikLrPJEGfn97/i9j9eXhX9zr6D3Fm44Dtr97Ro6ZPHY7HyEaTp9l01h6fiXpU36XMsVaRJlxPylVzPel8+NmooT3wjFTxBjfOPH/a9qJeKYC74+EEP4TgJMxxloIYRjAO17LhR0Oh8PhcFz+mDSlrEeEENQAwyDGeGIm9RTefQjhjTHGr05U+DJVfhrA6Yl93lbFGNXBwuFwOBwOh+NSYyfG6beA8bCHlyfSFYzbFK3JPZNwoU/F75+IhPu7iQsew3hczToAdwNYDeDfvPK2OxwOh8PhqAfUs3VAjHENAIQQPgHgczHGByaO3wrgnpnWU/ixFGP81yGExQDejXGTyGUY1y09DeB/Tq46XSqcwcIsfLcsIbkcuvkI7jB5zP8zL6yh+AuaU53swKr6qAqyRbcp+h11D5+EhvP3k4WsaigWUmgwh/qzbgiwYairqI1nRAN1P96VpVX3xNdm52G9D85TrVferu33dXzRHLP26/oN3zR53Mc7NiRLrmMv2f2VG1uSnoDDy9UG4vmX1mbpJW9Th3TSGtRSX7WW7DNiTYLubj56S+p71p70D9r21sbSOGqtpPoXlOz4PfIEbc0uOol5K8hyoJpEJfOW2i3Rzz+T8uZ32lB/duY20dakURrP+1iWfGLfr6T6KrZvzpG+r0XyGprTmOrAQJbWPuQ5+xhuM3n9x9P8YGuCz3S/x5TjcH7VLarWcBJFrt9sK6C6PR4PT8v84LBva2dgxWk8znUustM+X0tDynkuYmNKqj6K9TGtNfuMhktp3HN79Rck16nvqZ28gTs16WZxYz9USpn83jsqe6fzu1QtATiP9UFDovPhvjraZt/NlcZqlj5VTuftFAvAUjndZ0/ZaukexL1ZmseHWkTwWOf3pWr98iwGAHnOlwD1+rFEeH2M8UOTBzHGvw0h/MeZnnxBEnKCfvtfE/8cDofD4XA46g0DIYRfBvAnGKfl3o9XsG1bfSq2HA6Hw+FwzAkiQt1aBxB+CMCvALgf4x9Lj0z8bEao64+ls1iQLWlqCPzXaBm/QZaL95HrasWE/VvqZgOezdIckqqUH0cJKH3ANgBMm6nrddHSN1+PqTYNT+Ul6GtpSViX4+/BQ1k6jyYE7L0w1ah1avgr0yncXg7rHi+Xlpx1iZnrPDua6mjrrOa2tyGHXgWA9qX5f0DwJslLNqTNYk+Jg/upamqjulQ3ER14hpzKedNXAJgnTuWT0M2Tj1SJhhP3babeGpfmB3KMrEhj75y0gzfFZWjIPlNvWPfRVN+ubabc+pueQB742XL9ZRk3+5CoUqbdAKCjYwDTQZ/zo7VkrXGgZOlhpryOEv2jFgNsLcL0j84jrk+peaYDuY1Ku9yFh6kO+0z4fXEH0ubfa2p9ptxTpTSHmf6ZaguS3lOLjlsn6gXNKZ6fw+PPNlrf4tHy9HQzYN9pbJegm8pyPzL1pu8Rfr+pnQq/L5lG1Xc4W0sofdlzOs2d0li6/97mPlPO0mb2dwnfM9vE6E4OXMdzNM6VelxLFjK6OXM/7JxwvDJMRL19+NWeX9cfSw6Hw+FwOGYX9WwdcLFwwbsPIXRgfD+VSeng0xh38Z4x1+dwOBwOh6N+cQUIvF8TLuSzdC2AfwDwIIDHMe5N8HoAvxhCeFOM8ZnZb2I+WnESd+HLAIB78CWTx0vfJkoDNjqO3aZ3SBQELwsfPZ2WSzc126gYXjpVGoPrv4ZovdvwmCn3GdioHsa3aUmfI9tuFCqPl/SZ1lGKYNWJ5GR7S7ulxnipuoiu4/Y+2H+vyTvfR7a/S9Ny/6nVljLZ+1JyL8YuyzU9ceTWdPAwZSyFBVEGg5ypI/v66c8BAA6aOjZAu4+qq3aF0uKWPdRA98yMUdWWOz+WNrk+cU8650TjcluQncv0Xqj+kRbyW6tIOe7Su2zWsV3pPs2muOK2zFFvhnrbvM2U20sb87a984jJ+5Fy2n7pU4MfyNJNLZYyWVdK0aitHd82ebv6b87SXd2JdmGqHABuK6V5pbQOUyH8vrgf7zTleGNWpkl0DnD00zKZ90wHcRSe/nXO8+juiXfZJHg+9wymOTv/K6YYlr09Xbv9v9LAPGzLmXEvAatm9lGQ4vzyeVOuuYdcsGVcLt3y1enzhPF93fVpfNzakE/fmi61r2ac7EjzaOFQesfMV1b66ZRs33XQ5lF/NF6b0t/V9rQp9l1lOhZHwe/6bsqj+4y32nLM2ne1pfHbKfpipij14+RR+r31AhxzjQutLP1HAB+OMf45/zCE8P0APgbg+2erYQ6Hw+FwOC496tlnaRIhhP8+zY8HAeyIMf7Nhc6fd4H8G/RDCQBijH8J+7e6w+FwOBwOx+WKRgCbMb613l4ANwJoB/CTIYTfvNDJF1pZOv0q8xwOh8PhcFwhqPeVJYzvPPKmGOMYAIQQ/geA/wvgewDRtEyDC30sdYUQfm6anwcAS15hQy86RrAw0xEcLQirZA0CABwYTNqFnrZE7J85LbtNN6fw1zEinTWEkzVBGob8ZtJGsJ5pl+yAzmH6Gp5qQ/GToEBDmffgmizN4bSj4pT8jfYUkqzXYnD9el+s0ahoOD8dc4j98ZoN3TVE/vU2lBmdSZNgzHtVb8S6Im7GOinHogwd9dws1iJJyL45bpE81ilxHXotOl7yDrIpGLQVjuwo2PuR69xF6c6Cciskr5qS/Iw0tJ2dudkegDVKAID3puNBthsAsHNtEpysaeuja9mxx+HhGvZ+ntp4tD/Nv8XdVVOOLT5Wyr1wKDqH9us84tButr4YEEEX16H3soN0kqydUrdwDjFXJ3yec4+1vSFLb3i7dfpmx+nVP/K3KWM/8pFvWm6hc4DHlBhKf33jTVma34nLn7FConPpEaFG9fU3218pq7uSPuqbXZbI4OdyoC31W2ub1andvGZXlu74btuORpIbjZBmqdZgCZeBcnrunbdajdG+chorN7XtTT9vtxOOLR1Yp6TjnK0qNK/oXT3buEJ8lpYDaMY49YaJdE+MsRZCGM0/bRwX+lj6X4AYmSR8asZNdDgcDofD4bh0+M8AdoUQHsb4gs+dAP5/IYRmgKKZcnChveE+WpTvcDgcDofjysaV4LMUY/y9EMIDAN6A8Y+lX4wxTlIk/+5C51/IOmA69Thf/Gdn2tDZwBhKU5bQJ7GOwvnXyQa5D4zcl6WPt6Ul1mua7fL2zcRx8FKvurPycrlutsmhx0zD8TIyYB1vNeSZuWKu43HcbMr1UKxwEV3HdII63nI72Olc6QOmDIaHLH3JG9pWhyrT/lyxdLW1Nzjekjilc3206etSidnvI55gc0zpkWDLDeWkARtyz1HvSrXxbFHKKw9TKL/UxhuQwuN3t91oio0sLaDhWoiyXEEXaLC003wKzT93cJHJa7s13ai6kZtLyaa42fliDzCY4/QNAP9IeW0r0jhaW7bzssG42NuOu2n5rizNjvZvwHZT7jBxQzq2ecyyRYZqMZj+UJfqPKjbMp/HlFSvbO7L7yZ9d+wnSobzlI657zRRbxxub9l3S2GraoEVqDzF2qQcH0v9eRuUo2zpr/lEeDANpxt+P9GTnPXVwfu2wW9k6aa29JyZQgWADnLpPtVsJ/QpsiMo0uPwTgPDZdsOfs6nuxJ9p+9c3kCar6XUK9vL8Ca9wFQphONVYR6AYxh/M68LIayLMT5ygXMAXJiG23mBfIfD4XA4HFc46l3gHUL4TwDeA+A7ACYNxCb3iLsgLkTD/dFrap3D4XA4HA7Hpcc7AWyIMV5QzD0d6puEdDgcDofDMau4EkwpATwPYD6Aq+9jqYYGVLE4SzNYJ6Aaow3dSZvE3PpKKcfaHtYM7JO4dN4d/F48aPJUfzSJL+Eec7yQtEJleZa8zcJm0lGpjojBXLjy52xFoH3D4aHM/58VjRWHv76v7c9MHu8yf6ot9a9Otp7VSWChW7Ls7EiCglKH3UqCMbw8aQjWUKz0IYlrPvhS6o/GlmGTx9tusH5nQdlqBLi/VUNxakO6T9Z9LZBnydvQsK5uSIJOe65L96zjYSFpcfha2iY+r9pRMXls/bC9nMav6mYampMOhfuUtzABrD3AP4p1AGuYSmP/PEvrM2f7j07jxWAtDdaQ7qdb9u1oJUHaKelT1inxvGRLAS23ljRFqoHi8axjewPSO4a1Jn3GB8OOD20vP0/Wc2kI94bmpHNZd0Nq73DJjgfVSTK4Pxpq6VovlyqmHI/TFnm38XuK50plTdWU20fvFe5rHef8DlOdVm9bmut8XdUAPdr8xiyt7wR+9+m1Gfz8VBPFeWwxcFxEjWwVY+Ye/e4A7DtB37kVvJzbxtnGFWIdMIzxaLgvgT6YZqq9ruuPJYfD4XA4HI4Z4HMT/14VLhQN91sYF0BNi0sdDedwOBwOh2P2cQVYB7wmDfaF7n7HBfIvKVowhNswvst4j+z63UuUjIZgvky01JGX0tJs63K7rMwUxw5yyZ1qHZCWcNWZmymwW6g7J9s9CXYF1yVnPub6Nxv75ql9MAml67i+DqE7ePn4PjyQpZUiYNphh2wJzkvhp2pET5Us/XWoP/X9t6pvNHkmwppD/Su2GIc5H+tdlQ72IRcjLdaWeIRnAXdH1Z53rEL1q7NxH6bPk3J7ydj3qy3fk6XnrbC7B50/2JwO1LWcQ7t5tb8itgpEKbavsHRVqZTGwNlaCo0+XrL0AY8PHl+fGvyAKcfO3GwPAFjq7UTD/8rSnz9irU3u6H40SyvFw3SF7tTO4FB8pmcAYAvNP6a9lRLn+2TaiR3yx8slqw6lL/mdwPSizqOinQf4PpkmW0tUjV5r0Y5kK7Ho0KApBxkeBjz8aD4sKh+z5XroWAyl3337Z6etunnHeXNcuj3RhkuOfitlWIcBHNuYQv2VkmLcjMez9FaxkuiupbG46LjdJSDSfb7cniZq+37bUZHsEoKdRgA7clDekc3Wc4GpXn7H3olHTTl+zkrhK4XrmBlCCH8eY/zBEMJuTLP4E2O8cZrTpsCj4RwOh8PhcOSizgXeH574/3tfSyUzWlcLISwB8PMANoH+Vo4xvum1XNzhcDgcDsfljXr+WIoxHp74/wUACCEswqvQa8/0hD8F8BkAbwPwIQA/inEXzEuKBoxlUTM3yKbBHN2wTpat+fhMZ/7mneyQzUu9TM8Bdjl+n0RLPEub+DL99S7cb8rtL1hi5aXZx4mGUzqQKZNHcWeW7pUdNTmqR+tgCo2jLzTK5BHckaWfPW03Ku5oTvRBbyldu6+2xpTr6k79rXTE+Y3TL7vPa7QRaiu7U0QV99NTnZaCaaIIuKGBisljiurEk8tThs6ORlrBHROH8M20dM+O2Afn23J9XF9Knt/RbMvZJlr0UpqNtEeE86uk9p6qWvrn8YbNWXpLW/KeVZqI3YvL1L8cQQjYsa3O3Bz1xtTb+aW/ZsrtJrqutWRpuLGcyDON8OIIsoUyT5kutm761oqaaXu+L42aayW35YfwZpO3gfKYvlOXar6vtxHtDUyNYp2EOjkb9/CtiYZafUhe0ScpLQyd6QIe9+rgXcopB7upLOtb1t1qx4NxUu9Kz2i0yz5Lpqu07xlMVy4TKcKCEaLehEI7dW2am31I76Y++5oyFOCtY0+YvG91pR14V/akca5yDH5m/Fz1vWqjNO1Y0Xe145UhhPBTAP4DgDNIdFwE8LqZnD/Tj6WOiX1VPhxj/AqAr4QQvvKKW+twOBwOh6PuUK8rS4R/C+C6GOPABUtOg5l+LE1+nh8OIbwN4zsQrSgo73A4HA6Hw3G54DlAlptfAWb6sfSrIYQ2AP8GwG9hPAbgX73aizocDofD4agPXCGmlL8A4LEQwnbMoinlyzHGQYwz3XcDQAjh9lfY0IuOETRiz4QmSPUJrIFR7p9DMu8rJ52AapHYNZe5cA0TZl2HaijY0fs5cv7+Nm4w5ayOyDq1spsxa6LUkbaL+G/e0Z75eAA4TG3skDBs1j9wWvlz0zfNVifA/cPPoVKqmnLMz2/oftbkncnRKKgmIW/3+Hu7rZM6j4H+ZquP4nZ03JT6+qxoWVh7o9o0dpJmjUP/CnutUxuTJuiGjvSMvvUdsU5gfVSD9Q5YsbovS7Pe5sxp22ctzdO7xytYD6KO83wvfM/rSlaHkuc2DdgxwPYArFECrK3AF/p+yeStX53GFGsJF4qrNo91o+WRY+sObfs3T8+0mXSLgNXKqKaGxxvvTH83Hjbl+L21xgjarHaK55S+z7iOp8ku4UyPra/Wk+aH6l/4+XF/6BxgTZu+E1inwxrSHaV8axEeX10iKjqEZVlatV783uLxppq7w83pHVm5vmry8u5FbQr4vfLNrutNXj+6sjSPr37RYHKdfF39vcW7Rmjfa3/PJcYF3vXtswTgfwL4BwC7kTbSnTFmeve/BeC7ZvAzh8PhcDgcjssNYzHGn3u1J1/IwfufALgNwJIQAl9kEVD/a3IOh8PhcDgujCtA4P3lEMIHAXweloY7kX9KwoVWlhYAaJkox+ubJwG8+5W18+KjjFH0Tixdc4g+YJc6dUl0N5Jh5234BP3cUmM/gv+dpdkN+EaxKRggKmgnbjF5HELMYLsBbe8ptOTm8ZKzOroyfcC0kA5ypjG0Dt4AlGm+QzVL+fGGs4rbysmdfCeFa98ihvBHjWu5pUJ6iZLg9usyO1OqvGytlCrfi16LaQ0+r1XczYvCl9m2gSmD0ZJdSm/qSPWzhUXtOjsVn3hpczoYspYAedqB0RF7rYXNiaI63m8pqc3dllKahLrAP4bbsnT/8fS8WolCBKzthi7XM43MztxqD2Cot96Pmby9tDlvY2eiqf9s5Ien3sQEzveJHcPSFEa+ZHWaf3fiEVOMKSQeG0pdFYVy76H30TU0p+7Cl005HgMbD7xg8npX9mVpHpfq4J23abbO+yL6h/PYdkVtFZgK0ncHX4/tEjbhaVOO6SreTWG/yAX4uejm5dbpOtGcSr3yRshKa/Hz4/Gr4fwsn9BnXhYbh0moRILbxc9Id2Hg+tj+BXAH74uAyZfFL9DPLo51ANkE/OGkoZPD4XA4HI6rB/VsSjmJGOOaC5fKx4VouN+MMf4rAL8dQphuT5W3v5aLOxwOh8PhcMw2QggljBtr94K+fWKMvz6T8y9Ew03yUP/l1TTO4XA4HA5HfeMKsQ74PMa3k7740XAxxp0T/2du3SGExQBWxhi/nXviHIGXBqdu/ZFCSzXUlvlu1tQoz/wppJ3Vj1KIqOqSeBDp1ir3451Zmu0BNLya+foivQ2ndXsWPuZ71nK3IWmKbpZwaNYksNZCd6OvllL9qvXiPuXnwGH+gNUGnBq1WqSF5em9w468ZJ9R+1J6zrSNydpuG9p+dDTpbRaUp9cZANb6YUDay1onbUfD8vQ8WedxatDqz86SruihzrTb/YKS3WEcA6RTqtjd0s21Wc9kpVg4djBtib7ipr0m76nBpMGrtFVTe0UTxjqljo6kPdrVf7Mpd540bDct32XyuN+2Yys117582R6ANUoAgHUfzZIjBz+SpV+33M43tsw43G2fEWsXrQ2E1cPwuGRrAtUS8nzWOcvbF/VQn/4uftqU4/dW60qr4eK5w1oy1k8qWG+luiS+VmW0avJay0O5dTLytmABbHh8XtsB2499Be891iJpXl471PqC9albsd3ksd7Rar3sr0Xe8qYk720O9WctK2s/AWsxwLokbS/rSTtEM1n03OcCV4B1wIoY440XLjY95s2kUAjh4RDCohBCO4AnAPxBCGFGS1cOh8PhcDgclxh/G0L4p6/25Jl+KrbFGE+GED4A4A9ijL8SQrjkK0sOh8PhcDhmF1eCwBvA1wHcH0KYh/Et3AKAGGNcVHzaOGb6sdQQQlgG4AcB/NKFCs8VAs5nS6nq8MoPVp1POZSZl+N1aZedtJlKuEGsA7iOAQldzQstbZHlVw7X5eVhBS+tK2XC9gnvwWeytNJk7I6tdfCysC45M5iu0l3QeQmew12LQq8rZZvHS+ZMk7Qut/3GVEh3d6Ib1Q24u5yOiywA+Hnpy4H7Y83yPpOX9yIZaLNU3tk2dizu1+IZjrQkemJeo+3fnu5EazBNpnYOHDqvNOdINR2fbSEXbAnnz7OI6Oq2bT/an9pRlvHLztTsel1kacH2AICl3rDi41ny+R3bTLmzt6T+1fFmbSZSuW55DrdgZ5Z+lkLg18FSuzzv2WIB0FD8viytVBC/S7g+wDpiL8uxBQEsNc/z8gBWIQ89ZaXGWqctp3OFw+81j+0S2HFcw/m5/XkO/IB9XvoONy75yB97d+BRKtdl8rS/89rBtKHWwTTfYhpv2p/8+4ktU64Ruo6hvzuUinS8YvxXAP8EwO4Y45SAtQthph9L/wHAgwC+FmP8ZgjhdQD2XuAch8PhcDgcdY4rZGVpL4AnX82HEjDDj6UY418A+As6fh7A97+aCzocDofD4agvXAHRcIcBPBxC+FtYB++LYh0AAAghrMD4XnC3Y9zx8qsAPhxjPPiKm3sRMYrGzF1VIwV4ifioOHjz0icvg+vmqO/Dn2VpjozTKBNeLn5OImvYQZZpPo2CYEpGo8Z4SZcdwdXRlSnAvAg6wC5p7xHnc6YuuH5dVub70nthuoLpy3fhr0053ihUI2bY6ZgpNd5cE8jfRFM3COZle1365rHDlJG6F+u1GZZ2SM9P+43/OuO+Vipo5drpKQLAUo/DHWmcKxU92p3ar67l5dVnKS/1oW4W+5nu92TpvHEIAIu7q1n6DUI1KW2UtU82LOXIM3Xm5qg3Q71t2WbKHfxqOj4ob7e3bv2rLM3RSroxNreDy+mz5GPd4Jkj6thxW6lBvnbRptbcJqXpOVKX52wRdaXtyFs10F+QfM863vj9s4MiYvfLe+qwvI/yrsXvRKU5ecwyVXqNjEu+T73HKhZnaZYmFEVH6hjgd/r9eFeW1mfJbeT6OTJZ26jPTyUejleM/RP/Fkz8e0WYKQ33BwD+DMAPTBy/f+Jn3/NKL+hwOBwOh6N+ME7D1bd1QIzxoxculY8ZWQcAWBJj/IMY49jEvz8EsOS1XNjhcDgcDocjDyGEt4QQ9oQQ9oUQPlJQ7vUhhFoIIXfP2hDCkhDCr4UQHggh/MPkv5m2ZaYfSwMhhPeHEEoT/94PyDqjw+FwOByOKw6TAu+L+e9CmNie5HcAvBXAJgA/FEKY4sw5Ue4/YTwIrQh/CuAZAGsAfBRAH4BvzrQPZrqu9hMAfhvAb2Bcs/TYxM8uKYaxMAuvfVF2ijYuxxL+3LF6+u+8OynMFADefeILWfpUe+KqVV9jQttFv8MaGOagdbCwzkVDbdnCgMNJVWPVg7STOmsX/hRW/8Hh209uf73Jm7/uZJY+N0ShwWN2qAyvTfeiIa3cB6xXUZ0Eh1H3Uj8BwBYK32Z9jOqGWDfBWjINu+W+4n4ab//0GhW1ROA+1XvOC0NWvVjeOUU2Bart4T7l89T6gh3INY81UnytLdhhyrHtxKO1tAv6bSWrteDnopqUViR3aNazqSajD/n7XLIzN9sDsEYJAPBGOv6CzWO9yZ/ifVn6l/AxU45D0fk569zmPH1+bOPB416dnXtq6V1SGrNWHfvK6b3Cbe/FflOOtXVfxl1Z+qxo7rgOnYt51gGKMwW2G6w54veZvi+5f1lHpVYlPIfV/oQ1k2zDclRC+3n+7ZCdF9hNnnWRrC8CrGYpb54D9v4PyO8jfqfzOCp6nylW0bWP5JaaPVyCaLg3ANg3EVCGEMKnAbwDEJEh8C8B/CWA16MYHTHG3wshfHhiV5KvhBC+coFzMsw0Gu5FAL5prsPhcDgcjrnAcsB8nR4E6AsXQAhhOYB3AXgTLvyxNLlv1OEQwtsAHAKwYqaNKfxYCiH8FsZXkqZFjPFnZ3ohh8PhcDgc9YdZ8lnqDCHwUvYnY4yfpOMwbVMsfhPAz8cYayFMV9zgV0MIbQD+Dcaj+xcB+NczbeyFVpb4Rj4K4FfyCl4KtOB0Fno5irtNHm9sWj1dMXm8JMrLz/1iMfBye9qklCkeDQvlJVel0Dj8lW0FNPz3HqKkfkc22+RByqHGW/ENUy7PfXuNUFzmPmUElBtTuwwNt88OxHVr0zK4TiIOo2YqSKkr7iul4fI2jVTXYKbQOBRYKZPjph1nJC+1g5+l0kTs3qsbIfP4YKsKpb8W5DiEqx0FPyMN+2ewa7Bu/Mt9UPSi43JKPfLYOVBKfaP9u5LaqP3Lc4yfq94zPwd2HwfsprhMIak9gKHevnebydpRTX/brWnry9J6L0pRTULHHvdV0capTD2qHUXrYNokebjZSkiZblP7EwZTqryRt9Ja3KZOeYcx1ctUUFEdShnxHOZ5pP3J1Bjn6XuVj3XXBN5klqO09B3D9d+MXSaPxyVThVoHWz8oXdmUs6OCUud5uyFswtPmmHeX0LHyAO6bto46xkCMcUtB/kHA8JkrAOF0gS0APj3xodQJ4L4QwliM8a+1shjjpK5mEJAPhhmg8GMpxvhHk+kQwr/iY4fD4XA4HFc+Ii6JKeU3AawPIawB8BKA9wJWgBtjzISOIYQ/BPAF/VC6WAzZKzFOeFUW4Q6Hw+FwOByvBDHGsRDCz2A8yq0E4PdjjN8JIXxoIv8TM6zqojBk9e0y5XA4HA6HY5ZxaUwpY4wPAHhAfjbtR1KM8cdyfn5RGLILCbxPIa0oNYUQJuPKw3gb4qJXc9GLhSYMY/MED/2yaENYUzLQbHVEzKdzSKrqjf4nPpSlWdegehXWl6h9PYe/Mi+uIeW89YfC6mjyt3FhzQDrGFQPxNz60lueN3kczl9tThqgQ6ttiOuo2bXdbmfB2iHuU94OALA6Gt26he9ZNSUM1gJwfXoOhwmrFol1B/uNPYDV3rB2SK0JHiYKnNukY4rBY4W301FM3Ron9fdTNB5UQ8J6KV1C1/ZP4nHa6R6w4fwcNq2h0Twup4ZNJy0VWxPwlhjj5aivlp4zeTzHWO/HW5gAdmyzRgkARir/PUu/HP9Zlv4D/Lgpx1u+8C8I1SUdwKosvUv6jccAvy90q53729+apTUsnc8bzrHIAOyzZW3PWdHNsM5nseiIuA62HNC5wn2g25iwJpO1lZtFK8T3WTRu+H2puj1uP2uKPo/vM+VYs6TziPVXrA/TLav4XbdOtiXiOnlLmkdxhynH7xh+RqqP4uewHW/Ibe9c4wrZSBd4DQzZhTRLMzPfeIUIIfxrAB/AeMN3A/hxAE0APgOgF+NmUT8YY3w5pwqHw+FwOByOOcFMHbwvGiZ8EX4WwJYY4/UY5yLfC+AjAL4UY1wP4EsTxw6Hw+FwOC4x5trB+2IhhHAqhHByghm7cTI9+fOZ1nOpNEsNABaGEM5hfEXpEIBfADL72T8C8DCAny+qZBBtWThlUTi/PhheWucl4XvwkCnHy928JK5hoHys9BrXz7SIWgdwni45vwefydLPkRM1uwRrnbxErm06MGqXuxm7yzdmaXYOLwo1VjqFl8/Zafe4hLZzezUkl5f78ywRAEsTFLktc/1KLfASPJdTepFpDQ3rLdO98LgpWmZn3EKO5YB1EdZwfu5ffg7qnM22FUrZ5lkYFIHruAdfMnmWzs63MOC+UWdnnrNLVluXdZ5H/ByUGmNnbrYHACz1diT8cZbujG8z5Xiu8z0rRclt0nHJTtLaRgbPex0rf4zUXqbVlbK+hahNdqpXWpbHClPl42UTHcZjQ+0SinQrPHf20LtJ5yLfM7+3tU0Pkxu5zoH7SMbCfT0gtLfNs+OS+/sx3D7tOYC9L/09wzQfvy8V3H4+R6lSpgB1HvH7aG/ulRyKi8WQzfnHUozxpRDCfwHwIoAzAP5vjPH/hhC6Y4yHJ8ocDiFcOoLW4XA4HA4HgHHN0iWwDrisMOcfSyGExRjf32UNgCqAv5jYmHem538QwAcBoGlVvnjW4XA4HA7Ha0e8RNFwlxMuxd3fA2B/jPEYAIQQ/grAbQD6QwjLJlaVlgHCgUxgwg79kwCwZkt7nFyOnRqpkpb01Q2anVA/i3dnaa2D6RreyFMpKf7i1mVaXp7n5dxlQkFwnjpuM43G9JpSN9wupjvY1RcANpVTpArfl4KjwZRm4EiNXRI1lhfJps+B+00jDPf0p2X8td2JytNNcE+hJUsz7aDPgZf+1V2XI8OKnLM7DWVQMXl5G9/qC+bUYGrvPW2JyvrCC+805Rorqd8qbVWTx5F91VpqR1PJ0jjDtdQfvSW7+WreWNHnzPQPUwn3w7aX+0NpPaZyvoR7srRSmdzfd+IRk8ebVXObNsmemrwprtI/HPXG1NuT4Yum3IJ4D6aDznsei0VUE4/7qTRRGm+3yCbGTNfwZrH6fuDotbcRPaXRdUZWULPPeaw0/aqBbsbL96VzgKlYjti8Q57lTqLtmaZXGUQRRckRZfx+1MjfPApYwfOUowYBS42pGzm38U1H/zFL/0PXPzHlTDTcaGp7X7nXlOPfCxpZzZskfxWOucal+Fh6EcCtIYQmjNNwb8a4adRpAD8K4OMT///NJWibw+FwOBwOwRViHfCqcSk0S9tDCJ8F8C0AYwAex/hKUQuAPw8h/CTGP6h+YK7b5nA4HA6Hw6G4JCRkjPFXMNVyfBTjq0wOh8PhcDguE1xBppSvGnWt2BpGU+acu0fC6Ise7BvIpfpR3JmllRdnx1TWtaj2hnlr1QlwWebPNVSedT6q5eB2sS5nqn4n1Wldv/Mdq3fjRpPH+hIOVVWrAxtib11tGezeu1C0TRxqq9qeu7ofztK8a3vRvbB2QcPSOU/HBj8zvi8NV+bz9Pnx9bictvdUWzqPw4bfuvrzphxrcVRHxOOov5QfNHqmlK7dJRJAbiM/W9WhMLaQRk7nG1tadMl44BBo7id1rec83WWexzNr9XRMseZM9SXszM0aOdUofSsk7cxN8S1ZWp/lISRXe3XwVs3cJNTugzWIagnAc4fr13HJWi/WJ+r9mzksr0d+r3D9Z8Q6gLVTGtrODux8/6yx0/ayZlTfv7orA4N3A+D5q/P+Mdw2bZuAfE2UPudRY1XxrMnje97dlTRb+juC58RD5TTe9D2yhyxDtuIbJk+tTOYSEQG181f3x9Kcm1I6HA6Hw+Fw1BPqemXJ4XA4HA7HLCMCY2NX98pSXX8slVDLloVvls0aOYxVw3WZ8mHnZaUqmA7jkFRdOuXlXV1+5dB8dlhW6orDWnXzVV5aLqLXmDYs8sS4meiIIjqQXZq1TbyEzX0NTA1tnu4cwN6XtsO6nSdaoMg9ncOQdaPYhTl0HWD7kakLpet4PGh4cR70vrgf+R51E1EeUzpWuE51PWaoO3AemO5R12fuN6aJ1OWYqQrte34uQ9R2fZbcvzpWmG5jd3O1+1Aqh8FzQh3NGUy9PRH+Lkuvju815fLoW8COI34n6LM8fjxRWd0d9v3DFFJ1tJKl7yp/2ZTje+HnoO7bfKw2CDzWmXpTI0K2EtDxxdfmsaL2DsM59Fq/PBOuX+nWJupfHkc6bpiy1r7X/pmESg7y5ux4HUx1p/rV7Z3BFLPOe6azOT3dtR1zi7r+WHI4HA6HwzG7iDGgNnZ1fy64ZsnhcDgcDoejAHX9qTiGUrY0qdE5Y2ZZ2VILvCy+H2uytC71MkX3ELka9NE5gI3u0OXtvA1cdfmV69QoFl4iZzpQozvYAZepR61vlUTsMbhv+L6U3mjFUJZWKujLtXQvwxSRpc+Il8E1Ku/saFqCP1BOfaXUDS9N8/OaGjFkz7N56T6ZJiraLFcjdRZTHys9yuBnyfWXZem/aDmeqTGmlpQWYQpCl/DzaE4txxRKnis1MJXqZrATPEf7KA3C0Wo6ZtmpnaMjlf7ie9b6mbJjmkTnLD8/pt5eCJ825Tooim4rRdgCdtNWpn90M9cNHalNOsf4vJXlNGe1b/iYHbyvEYqS34PqOJ4HnQNFm0kz9VZE+eVFnOpGtOycXTR/+V6K+kYdvNdS5CC3Xd+rTEsWRZWyrGCL7K5gNwNP7xuds1y/jodLScONryy5ZsnhcDgcDodjekRc9R9LTsM5HA6Hw+FwFMBXlhwOh8PhcOQixoCxc1f3ylJdfyzNw/lMD6Eaik4K7Va+m7lqsxO3lGNunfU2Wh9z1ZvFwuBszg70O2jn7fG80rRpANhHmhUOa+0sCF9nHVGR07dqFziPdURFIdr3we7a/mwp9VUep6/XVs1HrTy9TktdjlnXwc9Fw39Zr6GaIrYBaBLdGoN1GEXlWJPA2i7NYwdk1dewE7OOB75PTms5DnnWe2bNHFs/6NjmfuRQeQ0HV/sIhh0DaSy2ihsya1tUe8L9XRSyz+NSdWsHsGraOnR+sDM3l+socPo+E99u8nj3eA6J13HJ9Wvf65yYhD5LDudnW4z9Mlf4/aN6GG7XTHVwU92nN0xbTucKjwe2oNAxxHWo3UeeRcQ+0fcx1AE7z2W96Fqqu+Rn24v9WVr1RdynPLa13B5ji2HnR5FuyzH7qOuPJYfD4XA4HLONgPO1q/tz4eq+e4fD4XA4HMWIAK5ygfcV87GkdBKHYKrbMDut8pK7LtvzEivTDrpR6JCxB7B0Ci+/MgWzBTtMubwNd8fbP/3moEo9ch4vR/M9av1342GTx/ec594MAI/gjtz2chg5L33rkj7TLrr0ndffuvzObWTnaKWk+L50OZvd3/k8DTU+K6HSDK6TbQDUAZktIngJnpffAUtdaL8xLclju8gRu1/mAFN0fJ6O36dpjDFltEwoVa5D3d65T/m5sh3HdNdm8HNnZ2ttB19LqWPejJbbq+OXyzHVpLQYU29Ph8+ZvIH4E6nc6XRf1zTbNjGlpg7TTEvxfbVIe7n9PE/VpqDIWiMPSrVxHTreeMNcpdwZPH73kT2A0nD8/NSagt8r3Dc6R3nM6nPm8/j9UzR+VWbB71aWRahDPD9nHstqIcPvBP29pe9Ix9ziivlYcjgcDofDMQuI4apfWXLrAIfD4XA4HI4C+MqSw+FwOByOfEQAY+FSt+KSoq4/ls6gKdMXKKe9E7dk6amh4kkrUzYhs3aZ8d34bJZmzcdx0QI05ehmAKCVrsUaI9U9sYZgVDQqbHXA1vvfFo6ft9zYhKepvbZvmNdXCwPWjezCzVlaQ7lVL8WwO30nbQFrFQCr59F7ZnDYvz4jmze9Pgywz6hDLBdYN8Bjo2jH9aJd5rmNGhrM+iPWdWh9djsSG27O9eu2KwzuG93yh7UcrG3SfuOxzpoSDQffQfNN5wBrT/heNDTaarhsiDaHwXNfqebjWTpPdVqssWE9iD6jjhwLA9UAsV6KNUoAcCz8fpZuH/vnWVrD13kMqP6K+5stKHT7ENYp8TjX7UPywteBqbq46eoDpo7TPHCf6jl8X/xu1nHO868mv6ry5pjeF79nVc/EGjFuo/YF5+lY4Xcujy9+ZwN2vLEWUi04GKorK9pGaU4wduEiVzKchnM4HA6Hw+EoQF2vLDkcDofD4ZhlRFz1K0t1/bHUgLHMIkBDOpl6KtqJ+rN4d5bW0NIHcN+0ebocysu5Sq8N5NAHupzL7S0Ku2XaTO+Ll36ZTtE2MQWzTpaLmV7jZfEbsduU42uXZfmc6+C+UlqEqQXtD94Vnh2WlXaxbs5pZ3qlKri9hyUEN88Zd6pTclqe177nEGKmoTTc17rCJ7uAA4P2vu5ue3jaNmn9bFtRZH2h/ZsXhqy0C/cNt50tEAA7P/iZaLs4pFrtEvi+rpGw/x66dpnoXKU7+Lmswz6Txw79TA0WUcqcp6H93L9sDwBY6u1Ew//K0n+771dMucbORJVtarOUDPcH06g635iyZCpP5wDTWkoHMv1eLpAE8LtEqTEeY1xOr5XniK3vmJnSTkzv90vIPkPnLI9LbpNS0UX3wnOC39sqb+D5wf3LUgetT600eF49Acdco64/lhwOh8PhcMwyfGXJNUsOh8PhcDgcRbhiVpaUQuNNDTV6jZdLmY7QyASOsOMl0O39W025Q909056j187brBKwS7/qHP0cuXFz27W9fB5HBd0gy9u347EsrW7A3B/sSKuRYexArpQOL4sX0Zecp1TI4pzoMgXnMe2gtFORUzIvxxdtTMv0x0wdhZVS5b5iakUpGO5DpV34Xpha0HHD4003ic6LQtJ+Y6qUx6iOX+5TjXrsy6GiNUKP3eTvwpdN3u/ip7M0O2krtcL02qhEPym1Nwl9ljx3+L40Go77TZ25eTwY6m3dR025kS9sy9LfWvFGk7fipr1Zmue6bpBr3ePznbk5gnHq2J6Zozc/d51H3EYeRxqNy5QXjwcdN9vxhtxrncqhn/m9P37t9MxqBRGAvOOB0pc8joo2BebIVKWzuT/yNhJWXCvv96LNu2cdEcC5S3f5ywFXzMeSw+FwOByOWUAEcqSdVw2chnM4HA6Hw+EogK8sORwOh8PhKMZVLvCu64+lRoxkGoV78JDJ4xBSdrMGLJ/M4cWqL9k+mDjzjrbEY2/p3mHKse5HtVPMmbODrO6IXhQmy1z+o7gjS99G2iPA3nNeODFgNQ934lGTxzqlN1Ofqu6LQ9aLNEV3UP26yzzrEFiXBVhtz12kZdGwdD7Oc+IGpvY3Iy88XkN39dkyzhoX7FSf2iUsyNn5XTVF1gU9X6/Bz1zraChwFOZ742s9K87Z3L/8HD6D95hyRSH7fM9sHaA6uIVmXuZbArAGT3V7PbU01lsHrcji/va3Zmm7u7sNN+f5cfx4GvcbOuwY4r7R+cvvErYHYI0SAOB76fjjNu9gZxrP1Upq78Jmq105tmdVlu7dkDQ7GubOfajatLw5rNYBrG3Sc7hOfrZFbvf8/Ircwov0OuzIr+/wp0kLqe8O1gvxGCi6lrqM8xxeRfXr+5LHLOs99Z3ClgNrRMOlmkTH3KKuP5YcDofD4XDMMtw6wD+WHA6Hw+FwFMA/lur7Y+kcGjKaQ8NpmSbaRW7QAPAj+OMsze6sa4U+2NK2M0szFfLZwe835XraksP03RLyzMvCTJlsH7X2A1vLKRxaXao5pJrDpnVZmUOgmQrSpd4qFmdppUL4OI9aAoBbkPpG2/E4udIy/aVUG1NlSqfwUj27s2sYMtfBy/G6lM7PT5ezma5geor7CcjfbBSw/cNL9UpBcJ9yv62SPmQKVPueQ+6LNixlikDpCR5jRRtB8/NbiReztI5zrk+fZd7mq2/DA+aYaYeNB14wea0rp3cIV7q1NJb6arjZxq/weXzPt8DS6mx10N2RxkaRu7lSpUx9sy2E2gMY6u0j22ze5nQ81NKY0rtsMWZ8tm9I7xWd9xwSP3WsTG9rotYM7JKv8z7Pkb9P3s1cf1F9TAnrJrg8T4dz5gMAfHEw7cKwp81SzEwxPte/LkuzFQxg+6boHcbSB7X74Pmh8om8a+nz010qHHOLuv5YcjgcDofDMcvwlSW3DnA4HA6Hw+Eogq8sORwOh8PhyIevLNX3x9IZNGW7Nm/AsyZvB27J0hpSfQAp1JZ3tL+5gBNmfcXuthtMHusTNISYt1h4ajSFsY6OiP6FKHnV2+Tx4rth2/EYbsvSrEl4FHeacqwpUQ0Q15m3M71CuXW7LUbSQGn4OtsUaJj+FtJEbcbjWVq1C4yi7WTKNdICSEh5YNlL42BKl46Ycid6km5Et+roOXEi1Xc6/fxkz3xT7kApaRdYo6O6pKKw6ZWjSduxsJx0NK2iQ+HtF9TCgJ8ZP6OpOrgkiNmOpIdhGwHA6qNUP8hzomhLmgdxb5buXdln8ngOsAZRx+++ctKe6NYX/B74Y/yzLK26HNaG8JxSXRLrB3Uu8jHrwHgLE8DaA7BGCQDwFjp+mNIbbTEe6ke2vy6ll9px3teSHxJ/bijNv/lF5Q4uytJH5V54DBwfTc9l8KC1Zhhdm959PM7VwuHgg+vTOffaeV/By3SU3uFaR2vb9DoqwG5jcp7exwf6rWb0/FiaH22dVZPXU07vfp5HutUO5/GY0m2edtWS3rOndNjk2ffsP2LOcZV/LDkN53A4HA6Hw1GAul5ZcjgcDofDMcvwjXSvnI8lpt0Auxyry+x2CTdBl2nZRZjreAMtvwOWktHleKa8biunkNHjZUsfMPZJeCqHnXL4uraXKapj30lU47GhVabc8a3p2l1CLSh9NYkhoXiYetQwZKYzLQUzYMpxHfqMNtVSvy36Is3SjhHbMDYpbpuu5RPgVfGjksfuCbzyLYxf+yq69oi0gyPzKWp40Ur7hrmu4/ksveD2RFuoLcF1X3keuaD2N68/lg56jplip9vSwnGtQSwiStM7LCsdyNTmHXgkXWrQXuuxtuR2r9YBDQU2FowiN2e2PuBxs1AoyiJah8ciU2ot0iam+aqjlSy9smwpSoa6WXMYPb8ftG/YmZvtAQBY6u0uSv/yNltuC6WfoXSDpYDPtdhjAxrO58aoXMFviIMH19sfbIwp/WRI6aottrd6UzpI3YQjK9bktunYTvsOO9aSjg+vSHKBlmb7LI89SOdZU23gSUyL853ST8ndAINHlpqswc70Lh1dnV4YTEMCli6/j+aD2pj0lNLYVkpcbTIcc4sr5mPJ4XA4HA7HLCAC8nfUVQfXLDkcDofD4XAUoK5XlhbgbLZUqRFDTOtoFMtNR1MUx6autCyuS+RMqfFyqW6SyA61XcLx8FIqRxZppBmX0wgJdoPliDKlvwx1QYzXku9+0ZTrP57oibUdNkKNqT2mD5Tu2FLg4M3tWP5kihJ7/nq7hM1RQiXpt0VfJfqKl8tl5d/QX7zy3S/lugvyDufkCSti9mNulrwTlOZb0YBCOm9918F0oH+1/QPywavxHPAlfdPcfD4dtJ23me2pf5t6Et9xuNk2mMf6mlpflp7/FVvdhrenqE+l8sZyIiIXiFs4jz2NnOQ5wY7rurGpRsAxeA7znNUNS7ldd5WTU7lSxUzrKZXHUX88fzVSkDfFneLMzVFvTL396jZbjl3AmYazzQWWFuQRHWZ+K+gcYAgTjbEwfd4+Kbcipx18PgB8ldI/ptdKyeGhpmnTAGDM2fW3XTUn7xkp15lTDgB6E2X3/MB1WXp+70lTjKOfj7alyNQ+WOqR3+ka6anv2TmFWwfU98eSw+FwOByOWYZ/LDkN53A4HA6Hw1EEX1lyOBwOh8ORD19Zqv+PpUl9hIYkawi/Qc5DV60Qa4wmncKBqVohDmseEJ75cTqPnVs11HgfkvOwur+y5oPDmvWeD5wm59l1STSgVgkbOpK+ROtgnrwozJsdt/fgGpPH+rHlXclpVm0JDk2J5U1YuoqctNko+FopyNohji4+JOVY56OuDSzT4WupXoNNsHXmcFm2MFDN0jK61Pok3tC+Xvomun+VKrDBMA9z0VGdvDbpKdS1/MX2JVman1ev6HdYW/dUKc2PZW+3HbyT4tfvO/23Jm9Dc3LXZ42RajJYU3QA1kU5r01HxZmc545qFXke3UJiFnWFZwf6IgsSPk+fH2ui2HVf9VzH9hSEtvMYY3sA1igBwEfo+AOUVqdvHqNLJY9dPfi6LVKOj7W9fMzv2IGCctymFWLk80YK4R+yWayDKr0l9Wmlo2qKHdtMk0Lf+xVKs1l/kbZJ+2OsIC8H/HtFdy54YU96aKc2PGby7O+nHN8Dx6yh7j+WHA6Hw+FwzDJ8ZcnhcDgcDocjB07D1ffH0hgasqX858T1+vHBzVm61CZx2RRtzK7EShNxCHzv6ReydLnZhivzhqV/jXeZvLuRQo+ZMuClecCGhe48bd3Iy80plJlDqvWeh/oStcJsyt6+m0w5s/2lUk10XLmumqWVZmDn700mph747kPfSAcURr9+8KAph0NyzPhDSn+J0pulXF6Yvrp0M0Wn1gEU5Tv8NHLRpBQg4Rx1aj8xaCuUhiPWaP0Bun91H/8rSo9KHpt7s12ANTnGolVEa0g7VrPbN7NQSlESlcMUWvt/tXHjq3+EqDehQNfdkDiTRTuoTVutE/7TRDOoO/0N2J2lR8ntvE9C8b+Mu9J1xX6A62CXfN4kW8/ja2k5pgO1HfzuYMfxstgl9G5IVgfbN2w1ebwprgln19B2pt4+RWlss+X49TblFx+HujM1lO9mPYXKuyen/r+Tct+bU64i12LLgc1SRzUlzyFt7nts6SJb7mFK90kdeRSa0oYjOeUAkHoC+Dq1aaNtxzm61qM/dUeWPnRcJiaVU8p27RQPBsdcoq4/lhwOh8PhcMwyfGXJrQMcDofD4XA4ilDXK0s1lLLlenXEHmEnV6U4yNC6dU2ilzTapTyalswbiVrRzRo5ukHpKnb5ZQrtsdO3mXJnm9NyP7v6AnY5luk6jSbKXWbXvwiYeqtKHh0fui71qUYWcV+p87kxUT5N6UFbzOSdljxyiH6KosE2yS1HepaB6J9z1kDXkgnW0BzD5L79FWqH3eISeOOO/DxeIH+J0uuEkuqm4/W7KUOX9+laUfrmJWrvCnYOP2HLGfpO+5epN6bvZKwwHWY2XT5sy5lnLhsQD5fSHFh0KA2C1YfsZrxnevqytEaL2ki51GCeX4CNUFMagzcrZnd6dUbmsc3RStdgjynHbtwDEhrGEaidBRugshu5vjuOLCXKkjfFrcLCRL1ty0kDGPs+OrDvGDt4eLbYyF8MLU/pfbLxLTtzM3WlbDtHtvVRWn8bMR2mkXc8TosoSqLGTMSbXq+X0hpoxnOzKnl8rBF7OWDq7VxV+pfapNSuUtNzigjg3AVLXdGo648lh8PhcDgcswzfSNdpOIfD4XA4HI4i+MqSw+FwOByOYlzlAu+6/lgqoZbpC/bUbCg+BpIw5+zyBTaPTF05lFeduZvGSFNBmo8GWY/kMGHVSXAe1z82ZjUZrFeoHq+YvOGOpJvg9nJYMwCrE6jk/Bywg155fMo7Pkpu3mWrp2DNx1ltB2tWWDejo42PtY2UVzRHA9cx09EsdgkLub2q7cmBBDnntlF/bmh/vlZB34wVLH9HukBQiwGG6IjM9XgoSoN5XNZm+lAkz4xTfs6iK6v1pIboXFQ94SR07PF5/eLu3UEiGG7TQlGgsUUCa5bOiD6K+6Ms/g6cx87hTaIV4vtSbVNfSyp7roVGnIbs83g2usXvk4Kfp/RduOjg567zGTl5RTof1grpeOP75P7QsP8iDOWk9Vp8XOTcz3VoO+i8cwNkK6DXojp0Dqi1jWNu4b3vcDgcDocjH24d4Jolh8PhcDgcjiLU/crSZIhxTWgttMQsuUBcc5kpK1oiL/PKOqWVauPwZaULmMbg9NkRy4uMtqXjcqNd0uflfw41XqzUhLpxT0KfctFmmLREvrDM9KL9s4Lvs2tQYtZ1E9s88HK8Om4TRWVqlyjsYSrHJMlJWd7voHJR6jhBlgacpX9IncxJ63mcp2bhTMNt4n4SW4V+CsVXmwJDiLKNQIFFhkTiWzuNtvxyrbV0tUXHqfX6vPhGuzEzyD3zmFJqrDKa8nrKqeN0vhXRWjxfqlicpRtqwnNSH3AdGtrPFLu+Y7gdPGfVEoHDwZV2yUVVjpmGMoNW7QHuovTDktdL6YXIB/eBxpITVWjaIeVGqFyRq3gV05fTY36PaB2cp5IDfkfk9qEcF7l7c32V/HLzO9MbYop1AEKW6pCLKdU7p/CVpdlbWQoh/H4I4WgI4Un6WXsI4e9DCHsn/l9Meb8QQtgXQtgTQrh3ttrlcDgcDofjFWDSZ+li/qszzCYN94cA3iI/+wiAL8UY12N8x6+PAEAIYROA9wK4buKc3w0h6N/CDofD4XA4HHOOWftYijE+gqmewu8A8EcT6T8C8E76+adjjKMxxv0YN0R+w2y1zeFwOBwOxwwxaUp5Mf/VGeZas9QdYzwMADHGwyGEydje5bDG9AcnfnZBTOqHWF8DAIMNBQQraSUW16qpLonRZhnUfKONsddiLlm3IBnOCbGvdFZNOa6j1GDbwVoJDnl+WYlxpriLQnKZZ69KHnUbh6pq2CprL8602ED6+Q20xsqfyxpOrNufEIYpzygvhLY/kRPqf0ImYwdd+4zUcZLKsiKjaEMIXUU+k1OuffrmjYMsLHS7k1bKG5Z71HZl0CFfUL+xEuDzZD2XtypZ0JweSp48DsAU+wWj9eE83RaF5orqd1rLQ9PmqQaI89Rag/WJZ0iXM1aydbBGUOtnLCjQkPBcZ/uBsmibuH6t79wQaYeKwu2NtIUVc/q3KqNXjvsozaIzHen8XESRN0D7nRRpp8bofTHT91SR/QmnCwemoJLz86I2FYT656YF50ZoXFaDzaT6h2QOqFbWMbe4XATeYZqfxWl+hhDCBwF8EAAaV6k62eFwOBwOx0WHC7znFP0hhGUAMPH/ZJjIQQArqdwK5MRUxRg/GWPcEmPcsmCJhv84HA6Hw+G4qJiMhruY/+oMc72y9DkAPwrg4xP//w39/M9CCL8OoAfAegDfuFBlAfHVLU2yEXGpSEd+ftqf6jVfTRtKJXsOhx6rDcJoOfEVLURp6JL+jB10i5461cHUoDolM6XBVA0ALGogDo1vRbupwH17/gxHJhOAfM6U4OdXMdKLopUL25GTnnLMlIG8PPhetA5ux/y8DD3Wl9NoTp7UwWO7xOXUEZwhY8+E5hc8c7anuBhh0uq4fZYaPcVOhMB5ZwrC6GfqqDxlns6wvvns4D2WE24/5ZjbqyMnrxxgqTem15RILhrdeW0q6CeeAwUu/oUoctjOu1bReUX9W1T/DPPmkczivLaJ6Dv9vVJECTtmH7P2sRRC+D8YN/boDCEcBPArGP9I+vMQwk9i3AXmBwAgxvidEMKfA3gK40P4p2OMTtA6HA6Hw3GpMWkdcBVj1j6WYow/lJP15pzyHwPwsdlqj8PhcDgcDserweUi8H5VOI95JtKEMa8xLX1r9BpHCfHSPEqyGSZFdc2nYrocylE8w1OW/mWT2QkozcBRPBoNx9fjpfpqbjiHQJe3KWhlStQGLU2fGk1t0o10uR1TnkGZaLi8TT4B6wKtNBw9o1aOmmu25XgTXH5GC3XFms5rEmaBCYh2itbSqDPa/rIwRmhhTlrLmXsRWms+XaxdKLQz1MbWgjpM/Srva88pJ/3LY+9sY5I4zi8LRc3PWa71cqmSpReVj+WW47k4WsDz8XgbK6Amipz2uY6zcq0zOfVrm3huT9mEm945Uza8JnBe3mbBAOz8UOrGRDoyNTZDR3AAdkTz4Hhayl2bX3/uXG+aWblXS6FppCejUlBupjRcUbRd3nkFVN75kZyNpeVaRb9n5hyT1gFXMer6Y8nhcDgcDscsw7c78Y10HQ6Hw+FwOIrgH0sOh8PhcDiKcQmsA0IIb5nYL3ZfCOEj0+S/L4Tw7Yl/j4UQbnpN91iAuqbhxtCA45jemPL8UOJ3q90Vm9mVkv10oJqB9tNEKJPESJ2zWTukdXAYsnEoHhV31nIaPQvK+S6/7Iasu6Cbrihyv2Uoj09l2cLg5XLFFDtFJ6rmw4iAmOdWx2521tKRSM+olx23ROeyiB2hSW/ToZIXNlY/YLNY98SaJQ2MXkdSDnUBP5XjJL5Ojldwu/ieVVNEx01yrV62FWAhVY/UUc5JA9Y6gHVKokvgsT1aTlqL5p5jtmDBvRgnYj5P5Eas+1F9BreDx5tqhVhvxHMbADZgT5Yu0v6xPQdfS/WHrcbGI1+D2EWh+GoPwLYCp2Qynju4CDNCS056qGgTBHl3mH7kkX+tlPsrSm+zWUspXeUM8Rc+SB7Er5ba4WsVaYr4nViVPD2e7hzA6p6OSF4vpbnvV0g50oa2LT2epQerS205unbLlGd0dWFif9jfAfA9GPdi/GYI4XMxxqeo2H4A3x1jfDmE8FYAnwSwdTbaU9cfSw6Hw+FwOGYZl8Y64A0A9sUYnweAEMKnMb6PbPaxFGN8jMp/HVM/Uy8anIZzOBwOh8NxuWE5LA9woT1jfxLA385WY+p6ZWkhzmDTxEemLpEfbckP3T3dM/03om5ceLotLZc2t6dQ6R7ZieU5IlumbABKS6kdtOPl2vI+U66JAtVrNXHwLiUq4ABxV1PCq3k5mr+vB2wxc9wnebQqvIDsFxbLmjXTB/2GdwM2ll9IBxKKbsDt7ZI8ouja99LP1VA4L+z9qJTj+jfbrJAeM7buSumTQn8FqqNJ6KpeaiM3cbncfxNTZUxX6f2vyc+bz/fGdaySOvhaaySPyxa6aqcbNU7U+ubga8mwNHQC95vUwdRb35SNXrlcotrUpZuheftz6lQajql9fq/ofDN2HwVx1Uy9dcvms0yxrxR++OhNaVAdPLg+ZSitzrQRszr79KEzdJmA21VkP7AtJw1giI75/dMrW39eT2l9NzGYUhO2yhwz1619w9RYUR3cpmcK2qQUHR/n0aFyXClXs3TpejtuThxJeoEmMS+ZsVXMbGB2rAM6Qwg76PiTMcZP0vEr2TP2box/LL3xIrbPoK4/lhwOh8PhcMwyZsc6YCDGuKUgf0Z7xoYQbgTwKQBvjTEe1/yLBafhHA6Hw+FwXG74JoD1IYQ1IYQFAN6L8X1kM4QQVmE86uBHYozPzmZjfGXJ4XA4HA5HPi6BKWWMcSyE8DMAHsR47OzvT+wj+6GJ/E8A+P9iPNb5d0MIADB2gdWqV426/lgaQ0Muj1vprGbpBiFb95XXZunDJLZQS4AD5bQCeMP63Vn6kMRo8/FMd0vXnchZi1Qq2fZySDGHRk/RdTBfv5Q0CRslCL6P0hulYcStczvUpkD7gNG9JukfelalVdPhktWQtI6mOpsHZfuMF1Oyifn/N8nF8rZMUZsCnj66kEsLt4vothapHQBLQIS/7ybNQze3SXVELGi6k9LXSDnWIp2QPG4/L1J3Szm655GVNqvanC7A40h1OTtxS5a+AWkOLN3yVVPu6xuTvYnqd57Cpiz97ts/m6V5HgLALhKT6VYPrB3agw1ZesB4QtjtSXpFkJenLdyNG0y541Qn6x11vnE7thdEK/M7ahOeys1rlb2H2HYEG0mqMSZSDtbN3ENpjQsyv+zknTCQE0Skofis82GNEgB8lY7/LaVVK8Rzkd9ZBwuu3St5fM/rqG+ekb7ZXFC/0VVRWj8KGgvy+Jjfpb0F5YpAdi175KXA4+1qQYzxAQAPyM8+QekPAPjAXLSlrj+WHA6Hw+FwzDIujXXAZQX/WHI4HA6Hw1EM30i3fnEe87Ll9Ck7gtPOzi83V0wehwZzOHG3xJtvxq4svYDoNbUYqODl3Dby0mkViylt29RBXNDxfkstHO9O7WVqQUONX1hKtMYQLbP3mWJo+95kQzv4BVkjp2VxDnMuci1XcB5TeT2jlv9qPk7UW9FEZEptV0E5Hs267P08pQ/P8FpF9Wt7+TxmYjWUmfO4Po3h2E/poiX8k5RWGo66ewqbUkoN7u54IksHbS/Rkk1Idhz65uCxqPYZGi4/CXWzZppPKQieH0xl7YCVJ/DcPgDLPfJ5PC+7ZN7ztZh6Y8sCwFLTaifCc4AdvHXeMG04xcJglN4DTxK9VLBTvUlruZGccnpcYCVhHESUuWPq7b9Q+tZtttz0my5MddTm+ot2Ifg69U1F8oocvPsozRRdUd8ouI18be23nPfqgpKVbZxoSM98jby48+aRY25Q1x9LDofD4XA4ZhmXQOB9ucGtAxwOh8PhcDgKUNcrSxEhi5qp1iomb+jJJVm6Z+tOk7ellkxDmSYyNAOAplo6XnQoqdu6VtplexPJVsAncZTNoVEbTbap/JQWz8DO37wUqxtvziPH7fMDRMPZIBsM0ybDU6I2qCzTKeqCzhTEZjxu8m49lGgd0x0vwoL/UtGIry9ReheldTmez2O3bP0riB/ZbuRiP7n3LpKNXju4Dgl6PEn31k9565635dgF3LgG60xkX1uNymPKjqPmtH+5P9ZLHkXpBb5PywDj5u70bAdKlCnXWv4MPYiyfZiVNdXUpB2Jel13q3Wx31FKlNomPG3ymObieaSu3FxON7VmWp3H7x14xJTjyDam7jqFK1WHZQbPHab3j0sHczmNths8SLxqlTJst1kX7L+jtEZ/Gahal++FB6M6pFPkmTpzM6PP1NvXt9lyjXTM81Sj5nZRWnekZnrtVkoXzSPtN+4ffpVWpZy2i7GZ0l+ndMEOZd9+S4q+HBlYbDMb08ujQ8bbWjxX0JBZhq8s1ffHksPhcDgcjlmGR8M5DedwOBwOh8NRBF9ZcjgcDofDkY/Z2Ui3rlDXH0sBMXO5XVeyhPQ3OpMmSEOIHyndkaU5nF8tAF7//JNZOpLUoCTkLesOVJPAeh62H1hbtu1lS4BN3Va/xFoJ1mFw2wFgAfHdIxXSGrRYbUGNXGKn7PqdqsepWrovcw6AgXK6z+dEULC3J23RwzqwjnarZTnbmHRVi3bLGu8PUprlXaKpMdoh0RgZsGZHzcfJdWLNtQXX4jqEv1+0i9Kcp9dijRHrl9Tpm+tQzVJemLduMs+apddJHp/HrhtinXColG6AQ9tfd/0RU+7cspSeL3qufUiWFqXb09jQecnHU7U9SVTCGqDD0sH95J+gLvNsb8D3slPsB3h+D1M5tUSoFbiFsys4zwHVRfJ8ViuF0bVJJ7i3mhzSp+hhWL/zvZQWraLR+42Ig/eYHE9CPScO0rvkesnjbuQ2sUYJAB6m4/dSWnVJXJ/eM+uIepOOan7F7jRwbmxROtDdCvpy6ldtDuepDuyunPpU50TnrWtL2qPhNtnVgLR0HfJy1vnimFvU9ceSw+FwOByOOYALvB0Oh8PhcDhy4NFw9f2xFBCzJfMXZYlyydq05K7Op7wcz0vfGgq8d31af2X36eNiQavu1owzFHrLdNrDo3ebcpvKKVS6X6yYebNQXrZXOrC7LdETp1rSvZzYtdyUM3RdY7PJ4+XjEwcTT7R0tXULP0vcjW4O2l0je4NSoi4aheJp3F8QXsEh90zrKK3F4fxMV+nE5pHeLnlcPzOFSn8xzaf0BEf58nk6w/ha/JjLUq7oxcRm0UVuy5spLY+Zr3esJ1FcnScsd8Nj8Sjxhrc2PGHK1RqmTwN2viw5+q308y5LSfFmuTqn+ohj1PmXV4daB7ADN4dlr5WY8s/i3dPWvUA2v+b+2Ccc0jDNe3YLVyqP545agZiy/Fiq0rC8jV77pBzXoWOF8xoLynH9SuHnuWzrWGbq7dOU/sA2W47bUZE6nqQ0yQzOjSyy5ao56SL0yTHfp/bHrpw2KaVI5Z7cvJnqtvTn/N5kyV/usHz2BjwLx6VDXX8sORwOh8PhmGW4dYBbBzgcDofD4XAUoa5XlgIiGibiGYdO2+XtoWo6XrfcLrOXaTmdo1N0iTwPC8S+mek1dV1lR29ObyjvMeU4sqZWs2Fd3aXENXEdSkcc6E9U5HmOXrOr+xg5SDyUDWqyZcfS8DhbszwRO59rlMY1pXRvTNed6LG0Szuv21uWz4apzpQrZ6pJKTRGmxwzPcir+FpHUZuYMuDzlJpgCpDZ4S4pxzNTosvMcVtOWq8tNN/pjvR3EtNT/e127DHVxJE6iv7m5Jh/Rlyfy9xgojlHu6wrPG9ou19C+3ie8lwZkxBInh86F3mcciTpPXgo91pMQ2q0LEe8cRqw74gbyTJeo+b4Wrox9lG69pEV1B9j4py9gv7krxCtU/R2L5pTPG5eyW8IjhSrUlojw5iiYurtU9tsuZ+RY0Yv10/3/4xE9fH7TKMD+ZjvWd+JPLeVAc7rq6qUo4g6s9OC1HduJJ+KPiu7KMwp3DrAV5YcDofD4XA4ilDXK0sOh8PhcDhmGR4N5x9LDofD4XA4LgD/WKpfnMFCPIVNAIBrmq0GqNqcNAk9JtYa6Kml432l5C7MbtuA1QysfzER8mfWW00G7xY+LHqNao4D8LcHrcZhLbm6sh4IsKHNrAfR0OimlqR/GDqYNCRT3G8riWiff48Nhz63L4l22H5B7QFupr7S3bC7Tx/L0o3708+jhv2ztkdD2/P0R8elHOuN8pytgXx7AMDaFJyktL4cWGOk7t6sXeD2Ks+fZx1QpLFSzRK3i2UuamfA2G8Pm0+eT9VvzNcise6HtU0ypbC6Kz3zJ3rWmzzWCh3bmEQkqrk7hGQDficeMXkcts96oC6xBWE9omqW+D3wMFkvV0UbwloR1omoUz1ruDbAvn9YS8XvhO14gynH74RnyWIAAA4+SP3I4+ursHgj6XRYnqmh/azfqUreq9Ep6XjjY37n7JJy7MzN56hG6bfp+Jclj3VQDTTJekWzxHI01SLxPOI2qs6Q+61Q45nzc6mzt7svSz//tetsud50Lz04bLL0PeuYW9T1x5LD4XA4HI5ZhlsHuMDb4XA4HA6Howh1vbJUQi1bCtdNZZ9/KdFr3cvtUv320tYsnRdODNhl+2+uT7tGDggH00LL8Wo/wGU5r7VNnZJTiLY6czMdWLSZ4uhIig9fsWFvlj64x9Ii8yl09dwRcbxdkdaLz44mCuJMeaEpth2pDweETqk0pxDr6vX5GxWX289SXtXkLd1L/Bovi18LC6WoJqEUGlOAuuEuh/Pzo9XZwdHsulTP5zE1qNQjPz6qL0rYfyiyH9A6J7FejskuYGSzzeJQf6ahdDPXXIrZ7j2Lb3ZdP3052HB+prUMrQdLMasjNofYc/2P4TZTjkP4b6CQ/fF2pEGxIMc+RLGQXP1LwqnyRr36TtB+nITuJsC7BpwVf4fRe9PxsZ200/KPSaX8KtlMaQ1zL6Kp89y3i6hdtQTozalP3ayZoqsU1M/U269us3l/Tcf7ChrJ11ZqrJrTDus0Y9urdXAfHCkoR9c6Pkpjpdd2/DyiFNWq4+gUf5E5hFsH1PfHksPhcDgcjlmGR8M5DedwOBwOh8NRBF9ZcjgcDofDkQ9fWarvj6X5OIdlE7qiSQuBSbRUEt+ru4VvrW3P0gOlxB+rZoA1Cay30ZDnBiJz90j4L+shWIehW5qUS6mNanXAdXKe6iRKDWk0c+jy6g3PmHJsRXCgw2qgnutPbdxUTnYB2oe8bYOGTefpMG46tNeUO9mdwnwXDkmoBctNWJKgIfsc9s+U/kkpVxQazTYFRS8EPk/5e66/lJMGjJ7pxJp0Y+1HRTTCOpSie+nK+TmAuDmlG8WaoNacGsbb9ej2IRx+z5qdkx02RHuUtEi3DX7D5PW2iW9BDvhaqteo5oTzq46Ix3aHxM4vJuHIfXggS6u26X68K0s3FWxVz3O7m7ZqAeyWLIyiLZVUw8XvnGMtpFnSMcoamyryyzXkpKcrm/fzpTlpYKpGKu/nfN6TlO4tKMcaJQB4Jx1/OqXn32Mny7ldpMnUe2E9E/eH6reqyAf3Pc9Z1SyR7mnwyaW55c63pIurRkm1gI65RV1/LDkcDofD4ZhluHWAfyw5HA6Hw+G4ADwarn4xigXom4i/Hjptl7eHqum42lwxeY+Xbs7SHIqvu6Xz8jy76+pyKB/rruJMm11DdNWDpXtNObYOyAs7BuzO5Oo8vKHt2WnzNDSa71PpA3aVXkjnMbUG2FB/7Q8ON2faYWWP3VWd73lNS5/Jm/9G+jOGQ/E1PJ4pNGY+XifluEuflTx+CXD9+hiYsSxyHC+i/IhSbD9ABQelHNNmyuiwzQDbCEib2H7gxEobXs3Pk2nedRI3zdQQh70rbXqgLXVOU5sdK0yRs/N7pzhsM52ttC+jnwbps7jG5LGNh84jdkBmiuOQeDHwHGOaT6lBhtJuPP/4naD3xVThVJolOTgfXpHaODwk1gxvSW08B6KdLPtuaS2lmsZy0koncZ5aAqyLKf31kNK3SrleKtdC5ZbK0gU7c6s9AFFveG9Kn1O6zjh9Szu4/X05PwesDED7lLGRTnmj3SZghH4f3bR6Z5bWccPj7TY8ZvKY6nbMPer6Y8nhcDgcDsccIF64yJUMtw5wOBwOh8PhKEBdryyVcD5bGj80tszkLVme6CWloTiahqkA3XeSqaaFOQ7CWv9WbDd5TMMxJfV5vF2ulpb4+yUKgqPNeClWl2XznIj15xyVp67a7GLeULAkzFDqhsERexqxyOgpHZaf0JJ83ia1QD79JRvuntuc0vM1KobP40DEosg4pTHy2qEO40y3cXBgu5Tj+1SDYq6D27tKylH7NdKTqVJO82a2ADBEY5apu/myGXFrWxq/z2GtyWOqm+fHMon65PlxXMIemQIrU6deI5wq02s67j+P78vSPC6LqHOm09Rlfh/dp/Yvl2XasFd2NM67FmCd+1ua0/0rDVfpSNc6trSAhuMXnI5tHmNFvxW4nM6BZ4hSq+TXN58ilc+NcHtlE1zdFJfroKg3Q71xlBxgo+j0vrh/mG4cknJM5Wm/VShN9Z8dseMBVbqX1Xx61RTjcb9DbPJ1o3fH3MJXlhwOh8PhcDgK4B9LDofD4XA4HAXwjyWHw+FwOByOAtS1ZqkZpzMNRFOb1SewnqdLdvq+bTTpbz5bfneWXiPaBdZQcJ46eHO4p7rwcju+jLuy9As7N5pyK2/5+yxdnhJenAQ4rI3QcP7dp9OO60MDlSzdvsLaA5RKqb0aXn12lJyYy6mfusRigG0VbhiV3d3HzmfpW8aeyNLH29pMuQWkPWl/UgQQLGf5KqWLNEBcvZhGz2fXAjscYG6NJWdqD8DlNNSf28t6I5EumO4mm4Yp1/pKwbW4Dpb29Ei561Ny6S5bydLb03NZ1pWvm+GxbjQTT9tL3bxmV2rSaStoerT5jVm6u5Y6f8GIDRU/3JxuYK3o4Hbjxix9Bx7N0qr5sK77No+PWduklgCP4bZp87Q+BtsNAFPfOZPQd8fTpOP74uB9Jq+1LYlnjj1IgrQdts5jm2nwPEwZX89t7lS9UR4qcszN/3/bO/sgvar6jn9/bLLPJptkl+ySwCYkGyGQhICLpCQCxqhUECkvbR2x2qKOY5mx48vYaaXttNgZZpzasbbFljJK0dbiuxQRFUGnoEgkwAoxGAhkhRDyCs+St90km9M/nrvP+Z7fPvdmQ9jdPHm+n5lMzn3Oee4999xz757nfn8vPqxAT047198DB8lOqVywv3up7Nz5k8jco430fY2ro6jaSd+9rdcWKrtz4XABPKaHet0NTePBtnQ+Av3LNOA96E3qrsD3quWbIMabul4sCSGEEGKsUQhvyXBCCCGEEAXU9ZulAbRUow8/1t+T1lHE1Enz01edO0pRu+AIupPcK1F2KeZX8BvcO2F29R/p9u/DRVcPlsCRXDfvTPWU/R1RGpuahDBwkh+5q06eRslsB9IQA1NaY93OwdRFm92SV5eWV8vevfoC/Dwet5Tuf2Z/fB+9py2ux9v3pFJQC2+6QOKJDPUclb3UxHkzWQrz0hW75ju392Sbv+fCDyRSmQ9hwP1nBcbfYSwjsqv/LNeOwwr4Y+VFWPbKD5/LMldHCUw7L4wn2jWwPWm2rS3WsYQ0s3dT0q7jzXEQd7WmegpLYzN20q9Td83bl5arZe+KzyEH0mj3aQTkNTivWj7XyRgsqe2gc5niQgyw7J1ELXftOPq9l/K4//zsGHJSHst369vSJNyJJMqyVlES3D4qb0E+RXUcHsBLY2Uq+0S6m3La+cgii3LaeZd97mNRJPGiBMEsvXHUbwC4nLaLEumynLnW1fEYsHx3kWtHY7P5vHg/+Gf9gS1RXiyf1ZvUTWwE74DiWCrHP3W9WBJCCCHEWCMZTjKcEEIIIUQBerMkhBBCiAIkw9X1YukEHKra8MxuSw0gdpHNjk+rwPYEL5I9hXf/ZVuD2S9FA5BTZ6bt2LbA2z1x+HpOHXHCyakhCh973bSCtCB0LlsT33Ng6rRoU9G/NorpB9wcHzydUgWQRg4AaInZEjmNAodRANJx43QWADC9FA1umgdiGIEhP9t4+1lXx2EA2KbI2wzkfcfbLO0pqBvtM4DbebuGPFdsHxKAz5n31+baDRbUHRxlu7xjAckYtD4Rr5G3CWtvKccqDgng9tdCoQR2Ofsovo8C9WnX4jSdBc8x76bPYSb4XuH0PACwGtHOzs/ZrQWpUBi+n9ku8DQ8k7Rj2yZvO8W2Ts0UCmS/szvhEAbeJmWQ7bZ43pddh9upnGfLA6Q2Qd4+KG8fft7wsb3NErvi91F5k2vXh9r4PvGxy67u9Jyyd/vnPrGNEgDcRdstVPbjxvZiS11dN5WLUsHQWPHc6+hIk2ztp1QwPnzG9BEDJMaTul4sCSGEEGKskc2SFktCCCGEKECLpbpeLA2iVM387SOhFsGvQQ/S6/Npzv2Xs7E3zYyv4Iuyqvt+DIc2AIApFHH7kHPnZ/fqQVfXVOII4dG137/SX1JaVy3/YhK993VZ6/nVb2fH+qRu7TNRQ2Hpo9P50acZ4tOoxLvaokwyncIIbG09KWk3fw+5qXtXW56ZLJstdO24jiWpBa4dR0jw0gKrqqwo+ik1K6cMpHIby4YzXTt2geaAzV6uW05l3488yc+PDY+h7wcruCTfDTgpb1cpXuemg3GwWxa7LtG2l6RKdGFenhknY5+7SDy3fQRsH1l8mH0ufAZHmu9y8ns3hXV/EBdSf9PHYJ5E15doLimbnX7J9wfvb4N7dmyjC/HM1jQkiX9GVPFP7TwX+27XjlUcL6Hl7b/oL0SRJMXSm3f7n4va+HndS+V2V8f96is4Vk/Od4BUevsWlX2kb95nUT94TLtdO/oey8gv58zrWvj7SowvY+YNZ2a3mtk2M1tLn33WzH5jZo+b2XfNrJ3qrjezDWa23swuGat+CSGEEOJIOfga/6svxjJ0wG0ALnWf/RjA0hDCOQCeAnA9AJjZEgDXADgr+86/mZmW0UIIIYSYcMZMhgsh3G9m3e6ze2jzIQDDWWyvBPC1EMIggI1mtgHA+QB+UXQMQxjhfTbM1Kb46tt7zEwfinLbsqZHquXmEVlaaX+DcX/dpb6kjr1WdiKNiM1SGZdPnp961LF8t6At3T9LEtzOe6GtGyQvujJVuFfTWx55XSy3O71qi1WLL54WpYVtzvOO+3QGUimPvQ0nvxLfrc8fTKNDJxGci6Lmsqfcqa6dj/w9zGa3zZKB/85zOeUiZdcv5fly8rHnuXYshw3mlIFUNixK2sv785G+WZbznnI0jtu74gTxUeEfodDf3a191fIb2tJMukOTRve7a+bGeKH73NTj+8PPbZbKWI7w0fSfwhnVspfTnqG27IXGUfyBVA7kZ0KHk6JZeiu675voV7SXszkZ9ubZqZT3/NY4Boc6yXPQe3zxU5xPxXuOFnm5sURXJMOx4u77kbf/ckG7Pir7qOL8TPBRwLmOp4B3GOM++mcMn1tRpO+Labu7oB/lgn7QM3j10qix929Kn6sYiM/fB8+6IKlaSQmkxx/ZLE1kUMoPAvhBVp6D9M/NpuwzIYQQQogJZUIMvM3sr1H5ffHV4Y9qNAs1PoOZfRjAhwFg0rwiK0UhhBBCHD0KSjnuiyUzuxbA5QDeFkIYXhBtQiqwzMVIIQUAEEK4BcAtADBl2ZKaCyohhBBCvFZIhhvXxZKZXQrgLwG8OYTABgV3AvgfM/scKjGEFwL45eH214z96M5Eb++SW97TXi0PtaYGJi83xTq2T/CuwRz5e28ptvORgdk12u+jm0R5/z2GbRw2D6a2C9tKUddm26Edzk6ifw29aWM7JfeDYHJRBO92/lq+jT1Hk/WhA9imZM+sqPS2bjuUtBvhLs+wDU9rThlAkpx+tO28/Q7bFe3JKQOpfZC3Z+Lj8bFmFLTjsv/RxvtwoR+S77HJg4u+nWy78Qi0z9JQHOypB1M7Hw5bwXZEbyilNks7SnEu7k86n0awDjT2PvQFz5tnnC0S2+rtosntbZt420fc5gjZfC/6Y3E7tkXyYQrYJsq7dfP+2b5v0I0N420mDx2kffL9nN5uqa0M29B4N/oimyWmKPJ7e8H3eJ7y94oifbONlZ/n3H8fbqCc8z1/LLaDesjV8TjysdhGCQDupe2rXB33i8+54BpNL0Wb2f4B12Hah7e19XNdjC9jtlgys9sBrALQaWabAPwdKt5vJQA/NjMAeCiEcF0I4ddm9g0A61CZLh8JIYw+cJIQQgghxgjJcGPpDfeeGh9/qaD9jQBuHKv+CCGEEEK8Guo6gvcBTK667+4cSt97HqRX2P51//xt0YW9PKu9Wp7uInizvMbuv0XRwrtdlsgzya2eZbMtL6SayfI5q6vlDaVUFmCpsJPeW/vEv4/OjZpy28nRRblpUn5/97ekr/53bzqpZjt/rJW4v1pejHVJ3ZynKYQ1S15e1mLlIi8EAJBGxPbteJ88m3e6dq0FdSxdbKSyl/LYhf8lV0f7DNQn2+jasQrDsoAPHdBLZT9u3H/uk7fy4x+Cbh9Gx2vuifOmyf147CrFnSbz3rmld66InWLJGkgj3htdvxUHf5W0e3hWjO/gE+nysTkhrpe2eZ76utNJDuMwAP5YZ+Kpapkjh89yk4+j8/ckFyz93mz6HocKAFLpzWcGaOuM/erfQnKNf2pPyymXXbu8EANAfgJeL42xrOWlptG+eODo3nwsv7+8yOQeDg/g+7CGyj6UAocTaadyt2vH0tsdN6R17bRdps99RgIKJcAmItO603Aqu8txzvpnrv/7NL7IZqmuF0tCCCGEGGskw01knCUhhBBCiGMevVkSQgghRAGS4ep6sTQZB6qZxYeaUtfdoba4fYoz5hggWxR2xyyRi7OvW0J2Od5NmG2K2I7Bw5rz0jlPJHXsbp2X9RxI7TB8CpITWmL/+/uijcPiMx9N2m3YGW2i2jvKSd1uetN6IonwXj9nd/ARGeEpzQbbhyWu9wBe6YgpHGa0uBvRu8EPc7bb5vQkbGPkjpVkH/d2RGwvxDZA3tTrDCr7dAZkw8R2OSPOg/t4RU4fAJBZzkj7KLax4ugR/ljLkctvF0bbNHad9/Y7P0LMaX024px9w5vT0AEbStHext9HPFc4lMKjsxYn7dgWye+D7f2ewDnV8oi5R/j7iO8/Pk+/Dw4XwPe2v++30v23GackdXzv8D3r98Fj49OpsL1Yfydd6O7JSbtEHWFzx3LaLLE/8qk//Hwexv+F6KZykc0Su9T3uHarqNxb0Ce2U/IhAXz6k2Ha3faign10U5nP0/eDz4VtlADgNtq+jsrexmpFLDbTc3rv7jQcBcrxIu2bk9bxXBTjT10vloQQQggx1shmSYslIYQQQhQgGa6uF0uHcEL1FffmoVSDmNoUX8F7aaGFXEiXLX+kWvYRdPl7XOfb8etRn7XdRxbPg2WuQRfqgOWELpIUNzvdpWt2rGueHV/1+lAHb+qIbv8+ejGmxRvisZ3nxv11pLIISxUX7PlFUlei4TlArvKT704PNaODbj7vHv9NKvdQud+125NT5/f3YkHdtpyyl+G8tJe3D1Z9/Y+xmTl13u2f9+f7y+fJ6qjfBys+C9OqE4fK1fKpTXEnfm6z/MzXPJE/Aby+7enY3Vmp3whH9+bzOrUrlXZ3uoj0zDkkAbLE9V1cnbTjqPM+dMAUcttvx8vV8lu3pfP3iVlR6+Xo211ugLtJz+10vvh8z/H3XnY60Ty6gF7CZ8lucH68kZ7dcVbSLpF8OByFl9Z2j7JuUk7ZH8tLTSx5tef0CUASXYXd+f2x+P7Y4uq4v3xcvw+W1H7j6vIif5cL+uHrWHq7mcperqP+vnRXQY74q2LxORexuyhkjRh76nqxJIQQQojxoLFlOIUOEEIIIYQooK7fLLVgoCoTbG2aldRxEkIfNffp5dG94Xv4vWrZy3XsqcKRuBe4KN19WFAtn+6Sd7IHzr24uFp+ftAlAC3FbS+NdZGGxK/qfdLeKSTXsQTx/M70WIMdUeYrD7YndS3tsb+nt8Vz8VHQV5Or1d7W1EtjVetPq+WnqL/d7+lL2rFkec5LTyd19le0wbJT6kCVeoBxdGwvXXEk8fNcHR+aZTLvoZbnoQfkJ+P10l1X7fKWZWl235Pb6KS99MgSHZ9zQSLdVxanHlQ7mjjxbby2XkZmWY7vj7AiaYYNM+M9NdK7LLpNbemJ59nr3KRS77L0ZPj+47ntPcjYg9XL2Q/gTajFT2a9MdlehyXV8mPUx2V4JGnH5+k9UzmJ7xosq5a9hx6PTclNOE66u3MwXq/J3a8gjwOLfOZmgpXCdlc3Wm849gzzMlx3zvd8ElyWvIq894okP9puuSi6i+4fSBMVH+ol91MfVZslum4q+7Fgrz+/D+4XS2+fuSFtdwNt873jz4uyMMxzHshFidjHHtks6c2SEEIIIUQBdf1mSQghhBBjjd4sabEkhBBCiAIUZ6muF0uHcELVbZ9tlDxe62VbA7bz8a6Z7LrL5Y3OVojtPIrcn5nmUuqKz+7FPtzAI2Rkw67c3saKoxx3si2H6xLbVe0vpRr/5t3RVmTtC9GFeu6cVD/nMfTZsDkaObc7dc8m5LG3NVWEW/sPxQ128U27O9I2aRg/s4vsmUazP7+P0d45Be0GyExp6pCL2s7PJX/OTajNTrdN9lLNA+mvwqHW2LHBEQeI8LVke6CDrg9s29Th3OjZNonvlWYXpZttp/x9xNG991GojqeSsOrp9/z9zPZCfGxvR8ThAhg/z4fo4vroytuov/w9b8/FUdGfd67i/MyZUop9HBxIbbGYA0V/z4qiVOe18/OX7Xm8vQ0fu2j//BjopbK3beJ9lF0dtR0o0/O97KKbs72Rf/yw7VQ7lf158bG9PdOKnDq2UfLbHGLAH2tS7P/e+emc8lHixfhS14slIYQQQow1kuFk4C2EEEIIUUBdv1k6AYeq7ranupDCLFH5yLv8epvdgX0E3V30jvTreHe1fJoLD8CywA6XXfLnuKBa5hAGK3F/0o5doK/GHUkdSwv8Sv+g02O4juU6LxF0U+gDL1HO7ogSxPrBOB5emuBje7mDwwrwGJZbU/d4du32EsRF82Ly3xeujnrSBhdWofPCKPmwpLrfSUs8Bj4MQjJulzxbLZuTEl7oyg/h3fVSdF82kiM4aTMA7G2NmiLPqTPxVNKu/e3l3P4mc3sozu29Tel1foKyDvvxzUvu6iU5/t4zJA/PakvnA8u+PlksJ7JmV3kvSXGffB0n1mU3fT8fvFTGsOTFY3j2YJrU+t5SDPHB32lyNhu8Dy/l8VzkvvuxWYY11fIFeDCpe5CeHZfRPbatLQ2Tws+cB/40hkfYvDMNv3BgRwwrMLkzDT9wgKS9EybFYx1ykl/byfE6t5fKyGM2PS8evzTNfs0hSdb29MTjtqSybPfsvmqZQycAQP/aqKG9fj6FdJif9oOvy+bzunLrOIPC6qVpBurpJZJR97QndZwUN4nM7UJrJNIbR/3mRLwAJp8er4vPSpErv48Lslmq68WSEEIIIcYayXCS4YQQQgghCqjrN0v7MCWJtsuwp4pPDsqywH0UVdt7l7FHy3kk13lJgyP0+ro8WcAn1GSJw8tr/Bqf5boXXZRj9vB5nCSYkvM64vPkyMhAGkV5YylGJu9KMtGO3M6DX297yY9ljSE/FenUpg/FMeQEyUA6Hnyd9znpkfHXZPZQlAyMPcpcBO+ONooU3JJ63RhH2aZ9tDhPxKGueC1K5BHpvb84SauXOTsH4wFaN0evwRmlNNT31q54Xl6KZVgO9WPD14jvh07nescyrb8HWJZdiQdy27F01ZO4SaX9OoPmrJeu2GNoCZ5M6qYmMm08575Sd9IuiX5PffRyKEuF/lxYBu9FTEjNYwgUy4b8bOOx4YwBQOphyNLbgXJ6v7GKMqKubNXiIfY+dVJ0fznKX01L8xO7NjfFm2dgR+qpvLeN5uKOeB8dSi0Y8OzPKWFwt+sIeZGxtOmf4XzveFmyoyNK+Pw87t+URmPvH4jnPK17e1K3d3ca8b5W/0Zss/T2/huSZgd64/beSansNbUtzUQxvkiG05slIYQQQogC6vrNkhBCCCHGGtksabEkhBBCiAIkw9X1YqmEwaobvLeHYR2fbQaA1KWas5v7LOVcxzYfPsI22+U84+qm0ARjOxpv48B1PkL4OeS+zO7mHALAH5u1e+/2z2Pls7tz+ISz8Xi17KMys72GtxvjczsXj1XL3naK7Y363DkvX/rLannGzviLZvqs1MZj+mDc3lqK9iAcpgFI7Zm8fdTBJrIRGxrdr6emg85eY7B2uyLYxqzIdsW7mw+W4jxtmhVtOYYmpao6u+l7e5u8Y3t7OQ4lwCEzvGs/X78zXBgEjhjPx/LnzBHo/Vx5zN3Dw/ix4fuo081ZPrdnKOTAKS60yHqKCp6ES8C23HZ+PJiibPFs7+htK3uH4jl3NcU++v39dv2iuMF/z4qib8PSuoM57fzfR7IremmLM8ijsO4vTaK6lvS8+LpP7o6u8gd8ZPLueI9xOAMAODQtznu2S/K2f2yLdGDLjKRuf3vOPTeQPza7R9h6kYHXVfT5XPccocjcHB6AbZQAAD1xuzRwXVLln5GNgJldCuCfUQmc8MUQwmdcvWX1lwHYC+D9IYRHR+zoNaCuF0tCCCGEGGvGX4YzsyYAXwDwu6gkq3nYzO4MIayjZu8AsDD7txzAv2f/v+bIwFsIIYQQxxrnA9gQQng2hLAfwNcAXOnaXAngK6HCQwDazWxMkujV9ZulAKu+hvev9NlN2Efw5tfYq/DTapkj5gKpVMERaf2rXo6gyxF/gfQVMffRyweM3wf3n/vkpTxu512vGZZkvEs5SxcshewukBJKBRoUvwaf5Y5VlGD0idalsa411nnJj6PrdozIJBtZ7xKuMuwGf8ai6JbupSAvWTLti8qxT3Re3lWcpSDuk59THPrBz+0kcnRrlBtZegaAX9IPLC+vMSzXeYmH5yn30c9flnp/hEuSOp5vLDX5ucdR1x/AyqSuI2deFodESKORr8b51TKfsw8/sBxRAmYZzkfp5qjr/jo3J32M12Ux1iXtFpCU7q9zV1MMz8FSv58ru86M/efnjZdt+Np6WZ3vb96Hv87TqI9e6ub5zOfl78vkWnbE+eDDqXB4Ej82PN58/VjWBNLnYPms3qTuNGxALR48K/07wEna+ToAwL458do+R8/jea4dJ8XlyNw+PABLb/0tNyd168I7a/Z3fJgQm6U5QDKQmzDyrVGtNnOAUca2OQLqerEkhBBCiLHmxR8BN3Qevt0R0WJma2j7lhDCLbRt/guorNpwhG1eE7RYEkIIIUQuIYRLJ+Cwm4BEPpkLOJlodG1eE2SzJIQQQohjjYcBLDSzBWbWDOAaAHe6NncC+BOrsAJAfwjhNZfgAMBCGJM3VuNC57L54fI1nwKQ2iAAxSHw2e7lLWSz5G2A2FWYNXKvwbPG720+vMZd7buzGWDX6Ha8nNtfdnvf52xULsPdNfvowxmw/Yq3y2HNn+0EvD0M2xhNT32Skzq29fJjUWQDxP3fRbkC9js7lNHC82GHs/lgd3N2I/c2GbsSuw6XigC1UxF4mw+eK2wD41Oa9KKnWvb2Gnz9OpNxSuceb/tznk1zm6/tuc7Wja8R3x+zXTgK7n/ziPQ6cT5Ponb+vmT7Iw7v4et43Px5sa2I78dWuof5/L3tCtf5e4fhc/bPDu4vz3t/D3Bam2WUUskfm+8Hvw9+PvC5eDtAfnZ4O8M8O6UimzC/fw47wvODQ04AI8dqGB/egr/nbcK4Xxzyxe/7CnyvZjsgfW7l2eb5ffp7kftR9HeA0/Aw/rnBdmbePnOtfZ+2Pv1ICCE10DoOMbPLAHweldABt4YQbjSz6wAghHBzFjrgJgCXohI64AMhhDV5+zsaJMMJIYQQ4pgjhHA3QG8BKp/dTOUA4CPj0RfJcEIIIYQQBdS1DGdm2wH8FpW4sjsO07yR0HhENBYpGo8UjUdEY5FyLI/H/BDCSRPdiUairhdLw5jZmkbQb0eLxiOisUjReKRoPCIaixSNh2AkwwkhhBBCFKDFkhBCCCFEAcfLYumWwzdpKDQeEY1FisYjReMR0VikaDxElePCZkkIIYQQYqw4Xt4sCSGEEEKMCXW9WDKzS81svZltMLNPTXR/xhszO9XMfmpmT5rZr83sY9nnM83sx2b2dPb/iYfb1/GCmTWZ2WNmdle23chj0W5m3zKz32Rz5I0NPh6fyO6TtWZ2u5m1NNJ4mNmtZrbNzNbSZ7nnb2bXZ8/W9WZ2ycT0emzIGYvPZvfK42b2XTNrp7rjdizE6KjbxZKZNQH4AoB3AFgC4D1mtqT4W8cdBwF8MoSwGMAKAB/JxuBTAO4LISwEcF+23Sh8DMCTtN3IY/HPAH4YQlgE4PWojEtDjoeZzQHwUQDLQghLUUmfcA0aazxuQyUtBFPz/LPnyDUAzsq+82/ZM/d44TaMHIsfA1gaQjgHwFMArgcaYizEKKjbxRKA8wFsCCE8G0LYD+BrAK6c4D6NKyGEF0MIj2blXaj8MZyDyjh8OWv2ZQBXTUgHxxkzmwvgnQC+SB836ljMALASwJcAIISwP4RQRoOOR8YkAFPMbBKAqahkJ2+Y8Qgh3A/gJfdx3vlfCeBrIYTBEMJGABtQeeYeF9QaixDCPSGE4aSPD6GSwR44zsdCjI56XizNAZKMkpuyzxoSM+sGcC6A1QBmD2dezv6fVfDV44nPA/gLAIfos0Ydi9cB2A7gPzNZ8otm1ooGHY8QwgsA/hHAcwBeRCU7+T1o0PEg8s6/0Z+vHwTwg6zc6GMhUN+LJavxWUO69pnZNADfBvDxEMIrE92ficDMLgewLYTwyGEbNwaTALwBwL+HEM4FsAfHt8RUSGaLcyWABQC6ALSa2fsmtlfHNA37fDWzv0bFxOGrwx/VaNYQYyEi9bxY2gTgVNqei8pr9YbCzCajslD6agjhO9nHW83slKz+FADbJqp/48iFAK4wsz5UJNm3mtl/ozHHAqjcH5tCCKuz7W+hsnhq1PG4GMDGEML2EMIBAN8BcAEadzyGyTv/hny+mtm1AC4H8N4Q4+o05FiIlHpeLD0MYKGZLTCzZlQM8O6c4D6NK2ZmqNikPBlC+BxV3Qng2qx8LYD/He++jTchhOtDCHNDCN2ozIWfhBDehwYcCwAIIWwB8LyZnZl99DYA69Cg44GK/LbCzKZm983bULHxa9TxGCbv/O8EcI2ZlcxsAYCFAH45Af0bN8zsUgB/CeCKEMJeqmq4sRAjqeuglGZ2GSp2Kk0Abg0h3DixPRpfzOwiAA8AeALRTuevULFb+gaAeaj8kXhXCMEbdh63mNkqAH8eQrjczDrQoGNhZj2oGLs3A3gWwAdQ+YHUqOPxaQDvRkVieQzAhwBMQ4OMh5ndDmAVgE4AWwH8HYA7kHP+mRz1QVTG6+MhhB+M3Gt9kjMW1wMoAdiZNXsohHBd1v64HQsxOup6sSSEEEIIMdbUswwnhBBCCDHmaLEkhBBCCFGAFktCCCGEEAVosSSEEEIIUYAWS0IIIYQQBWixJMQxgJntdtvvN7ObXsV+lpnZv2TlVWZ2wSi+U/NY/LmZ3WBmL5hZb5ah/jtFiavN7PNmtvJI+19jP6M6hxrf6zOzTjNrNrP7s3xwQgjxqtBiSYjjiBDCmhDCR7PNVahEqX6t+KcQQk+Wof7rAH5iZif5RmY2E8CKLFnpqyZb4KzCUZxDlmT7PlTiKwkhxKtCiyUhjnHMbL6Z3Wdmj2f/z8s+f5eZrTWzX5nZ/dlnq8zsriyx8nUAPpG9DXqTmf2ema3OEuvea2azX22fQghfB3APgD+qUf2HAH5I/f+Mma3L+v+Phzmn28zsc2b2U1QWZP4cTjKzb5vZw9m/C7PvdZjZPdm5/QfSfF53AHjvqz1XIYTQq2khjg2mmFkvbc9ETN9zE4CvhBC+bGYfBPAvAK4C8LcALgkhvGBm7byzEEKfmd0MYHcIYXiBciIqb3yCmX0IwF8A+ORR9PlRAItqfH4hKrnoht8yXQ1gUXbc4X7mnRMAnAHg4hDCkJnd4M7hf1B5w/WzbIH1IwCLUYnA/LMQwt+b2TsBfJj6sxbA7xzFeQohGhwtloQ4NtgXQugZ3jCz9wNYlm2+EcDvZ+X/AvAPWfnnAG4zs2+gkhj2cMwF8PUsYWozgI1H2eda2dgB4BQA27PyKwAGAHzRzL4P4K7s87xzAoBvhhCGcvZ9MYAllfRuAIAZZjYdwMrh/YUQvm9mLw83yBZd+81seghh16jPTgghMiTDCVF/BADI8lb9DSoZ0XuzPHhF/CuAm0IIZwP4UwAtR9mPc1FJRuvZN7zvEMJBAOcD+DYqb45+WKM9kJ1Txp6CY54A4I2Z7VRPCGEOLYCKcjeVUFm0CSHEEaPFkhDHPg8CuCYrvxfAzwDAzE4LIawOIfwtgB2oLJqYXQCm03YbgBey8rU4CszsDwC8HcDtNaqfBHB61m4agLYQwt0APg6gJ2tT85xq4M/hHgB/Rv0Y3t/92X5gZu8AcCK16QCwPYRwYDTnJoQQHi2WhDj2+SiAD5jZ4wD+GMDHss8/a2ZPmNlaVBYLv3Lf+x6Aq4eNowHcAOCbZvYAKourI2XY0PppAO8D8NYQwvYa7b6PihcbUFno3JX1/f8AfOIw5+Tx5/BRAMsyw/B1qBiAA8CnAaw0s0dRWcQ9R/t4C4C7j/x0hRCigoVQ9OZaCCGOHDP7GYDLQwjlY6Av3wFwfQhh/UT3RQhRn+jNkhBiLPgkgHkT3QkzawZwhxZKQoijQW+WhBBCCCEK0JslIYQQQogCtFgSQgghhChAiyUhhBBCiAK0WBJCCCGEKECLJSGEEEKIArRYEkIIIYQo4P8B37BbtZvh0AAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "im = ax.imshow(new_D, cmap=plt.get_cmap('jet'))\n",
    "plt.colorbar(im, shrink = 0.8, label='Hamming distance')\n",
    "\n",
    "ax.set_xlabel('Hosital ID (sorted)')\n",
    "ax.set_ylabel('Hosital ID (sorted)')\n",
    "\n",
    "\n",
    "plt.savefig('output/hamming_seriated_30_to_70_percent_agree.jpg', dpi=300)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99d50377",
   "metadata": {},
   "source": [
    "Get thrombolysis use in two groups of hospital, IDs 35-60, and IDs 95-120."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "501eb0b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thrombolysis rate 0.896\n"
     ]
    }
   ],
   "source": [
    "index = order[35:61]\n",
    "hospitals = contentious.columns[index]\n",
    "rate = np.mean(contentious[hospitals].mean(axis=1))\n",
    "print (f'Thrombolysis rate {rate:0.3f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9fd77cb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thrombolysis rate 0.131\n"
     ]
    }
   ],
   "source": [
    "index = order[95:126]\n",
    "hospitals = contentious.columns[index]\n",
    "rate = np.mean(contentious[hospitals].mean(axis=1))\n",
    "print (f'Thrombolysis rate {rate:0.3f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18efbfb3",
   "metadata": {},
   "source": [
    "Get thrombolysis use in a neutral area (e.g hospitals 75 to 85)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9d5c4d3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thrombolysis rate 0.518\n"
     ]
    }
   ],
   "source": [
    "index = order[75:86]\n",
    "hospitals = contentious.columns[index]\n",
    "rate = np.mean(contentious[hospitals].mean(axis=1))\n",
    "print (f'Thrombolysis rate {rate:0.3f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37f4e5ec",
   "metadata": {},
   "source": [
    "## Observations \n",
    "\n",
    "* Using all patients in the cohort, the pairwise hamming distance between hospitals is relatively low. \n",
    "\n",
    "* Using only 'contentious' patients in the cohort (i.e. patients that only 30-70% of hospitals would thrombolyse) we find that there are two distinct groups of hospitals, representing two types of decision making processes.\n",
    "\n",
    "* Within each group, there are sub-groups of hospitals that are more similar to one another than other hospitals in the same group.\n",
    "\n",
    "* The two identified groups have very different thrombolysis use in the group of 'contentious patients. 13%.\n",
    "\n",
    "* Use of patients groups with high predicted disagreement in decision-making facilitates identification of hospitals with similar decision-making."
   ]
  }
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